From 4918721ff7a27b7fb64b8200986c78e4a2e16613 Mon Sep 17 00:00:00 2001 From: Teo Musatoiu <156829031+teomusatoiu@users.noreply.github.com> Date: Tue, 27 Feb 2024 17:14:45 +0000 Subject: [PATCH 01/44] Update docs to reflect the Python SDK changes (#1030) --- ...ll_functions_for_knowledge_retrieval.ipynb | 142 ++++++++---------- ...w_to_call_functions_with_chat_models.ipynb | 74 +++------ 2 files changed, 82 insertions(+), 134 deletions(-) diff --git a/examples/How_to_call_functions_for_knowledge_retrieval.ipynb b/examples/How_to_call_functions_for_knowledge_retrieval.ipynb index c769100..200c87d 100644 --- a/examples/How_to_call_functions_for_knowledge_retrieval.ipynb +++ b/examples/How_to_call_functions_for_knowledge_retrieval.ipynb @@ -34,65 +34,17 @@ "is_executing": true } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: scipy in /usr/local/lib/python3.11/site-packages (1.12.0)\n", - "Requirement already satisfied: numpy<1.29.0,>=1.22.4 in /usr/local/lib/python3.11/site-packages (from scipy) (1.26.3)\n", - 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"{'title': 'Entanglement entropy and deconfined criticality: emergent SO(5) symmetry and proper lattice bipartition',\n", - " 'summary': \"We study the R\\\\'enyi entanglement entropy (EE) of the two-dimensional $J$-$Q$\\nmodel, the emblematic quantum spin model of deconfined criticality at the phase\\ntransition between antiferromagnetic and valence-bond-solid ground states.\\nQuantum Monte Carlo simulations with an improved EE scheme reveal critical\\ncorner contributions that scale logarithmically with the system size, with a\\ncoefficient in remarkable agreement with the form expected from a large-$N$\\nconformal field theory with SO($N=5$) symmetry. However, details of the\\nbipartition of the lattice are crucial in order to observe this behavior. If\\nthe subsystem for the reduced density matrix does not properly accommodate\\nvalence-bond fluctuations, logarithmic contributions appear even for\\ncorner-less bipartitions. We here use a $45^\\\\circ$ tilted cut on the square\\nlattice. Beyond supporting an SO($5$) deconfined quantum critical point, our\\nresults for both the regular and tilted cuts demonstrate important microscopic\\naspects of the EE that are not captured by conformal field theory.\",\n", - " 'article_url': 'http://arxiv.org/abs/2401.14396v1',\n", - " 'pdf_url': 'http://arxiv.org/pdf/2401.14396v1'}" + "{'title': 'Quantum types: going beyond qubits and quantum gates',\n", + " 'summary': 'Quantum computing is a growing field with significant potential applications.\\nLearning how to code quantum programs means understanding how qubits work and\\nlearning to use quantum gates. This is analogous to creating classical\\nalgorithms using logic gates and bits. Even after learning all concepts, it is\\ndifficult to create new algorithms, which hinders the acceptance of quantum\\nprogramming by most developers. This article outlines the need for higher-level\\nabstractions and proposes some of them in a developer-friendly programming\\nlanguage called Rhyme. The new quantum types are extensions of classical types,\\nincluding bits, integers, floats, characters, arrays, and strings. We show how\\nto use such types with code snippets.',\n", + " 'article_url': 'http://arxiv.org/abs/2401.15073v1',\n", + " 'pdf_url': 'http://arxiv.org/pdf/2401.15073v1'}" ] }, "execution_count": 6, @@ -416,7 +368,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 15/15 [00:08<00:00, 1.76it/s]\n" + "100%|██████████| 6/6 [00:06<00:00, 1.08s/it]\n" ] }, { @@ -442,7 +394,25 @@ "name": "stdout", "output_type": "stream", "text": [ - "The academic paper discusses the unique decomposition of generators of completely positive dynamical semigroups in infinite dimensions. The main result of the paper is that for any separable complex Hilbert space, any trace-class operator B that does not have a purely imaginary trace, and any generator L of a norm-continuous one-parameter semigroup of completely positive maps, there exists a unique bounded operator K and a unique completely positive map Φ such that L=K(·) + (·)K∗+ Φ. The paper also introduces a modified version of the Choi formalism, which relates completely positive maps to positive semi-definite operators, and characterizes when this correspondence is injective and surjective. The paper concludes by discussing the challenges and questions that arise when generalizing the results to non-separable Hilbert spaces.\n" + "Core Argument:\n", + "- The academic paper explores the connection between the transverse field Ising (TFI) model and the ϕ4 model, highlighting the analogy between topological solitary waves in the ϕ4 model and the effect of the transverse field on spin flips in the TFI model.\n", + "- The study reveals regimes of memory/loss of memory and coherence/decoherence in the classical ϕ4 model subjected to periodic perturbations, which are essential in annealing phenomena.\n", + "- The exploration of the analogy between lower-dimensional linear quantum systems and higher-dimensional classical nonlinear systems can lead to a deeper understanding of information processing in these systems.\n", + "\n", + "Evidence:\n", + "- The authors analyze the dynamics and relaxation of weakly coupled ϕ4 chains through numerical simulations, observing kink and breather excitations and investigating the structural phase transition associated with the double well potential.\n", + "- The critical temperature (Tc) approaches zero as the inter-chain coupling strength (C⊥) approaches zero, but there is a finite Tc for C⊥>0.\n", + "- The spectral function shows peaks corresponding to particle motion across the double-well potential at higher temperatures and oscillations in a single well at lower temperatures.\n", + "- The soft-mode frequency (ωs) decreases as temperature approaches Ts, the dynamical crossover temperature.\n", + "- The relaxation process of the average displacement (QD) is controlled by spatially extended vibrations and large kink densities.\n", + "- The mean domain size (⟨DS⟩) exhibits an algebraic decay for finite C⊥>0.\n", + "- The probability of larger domain sizes is higher before a kick compared to after a kick for C⊥>0.\n", + "\n", + "Conclusions:\n", + "- The authors suggest further exploration of the crossover between decoherence and finite coherence in periodic-kick strength space.\n", + "- They propose extending the study to different kick profiles, introducing kink defects, and studying weakly-coupled chains in higher dimensions.\n", + "- Recognizing similarities between classical nonlinear equations and quantum linear ones in information processing is important.\n", + "- Future research directions include investigating the dynamics of quantum annealing, measurement and memory in the periodically driven complex Ginzburg-Landau equation, and the behavior of solitons and domain walls in various systems.\n" ] } ], @@ -667,23 +637,21 @@ { "data": { "text/markdown": [ - "PPO (Proximal Policy Optimization) is a reinforcement learning algorithm used in training agents to make sequential decisions in dynamic environments. It belongs to the family of policy optimization algorithms and addresses the challenge of optimizing policies in a stable and sample-efficient manner. \n", - "\n", - "PPO works by iteratively collecting a batch of data from interacting with the environment, computing advantages to estimate the quality of actions, and then performing multiple policy updates using a clipped surrogate objective. This objective function helps prevent excessive policy updates that could lead to policy divergence and instability. \n", - "\n", - "By iteratively updating the policy using the collected data, PPO seeks to maximize the expected cumulative rewards obtained by the agent. It has been used successfully in a variety of reinforcement learning tasks, including robotic control, game playing, and simulated environments. \n", - "\n", - "To learn more about PPO reinforcement learning, you can read the following papers:\n", + "PPO (Proximal Policy Optimization) is a reinforcement learning algorithm that aims to find the optimal policy for an agent by optimizing the policy parameters in an iterative manner. Here are a few papers that discuss PPO in more detail:\n", "\n", "1. Title: \"Proximal Policy Optimization Algorithms\"\n", " Article URL: [arxiv.org/abs/1707.06347v2](http://arxiv.org/abs/1707.06347v2)\n", - " Summary: This paper introduces PPO and presents two versions of the algorithm: PPO-Penalty and PPO-Clip. It provides a detailed description of PPO's update rule and compares its performance against other popular reinforcement learning algorithms.\n", + " Summary: This paper introduces two algorithms, PPO (Proximal Policy Optimization) and TRPO (Trust Region Policy Optimization), that address the issue of sample efficiency and stability in reinforcement learning. PPO uses a surrogate objective function that makes smaller updates to the policy parameters, resulting in more stable and efficient learning.\n", "\n", - "2. Title: \"Emergent Properties of PPO Reinforcement Learning in Resource-Limited Environments\"\n", - " Article URL: [arxiv.org/abs/2001.14342v1](http://arxiv.org/abs/2001.14342v1)\n", - " Summary: This paper explores the emergent properties of PPO reinforcement learning algorithms in resource-limited environments. It discusses the impact of varying the resource constraints and agent population sizes on the learning process and performance.\n", + "2. Title: \"Emergence of Locomotion Behaviours in Rich Environments with PPO\"\n", + " Article URL: [arxiv.org/abs/1707.02286v3](http://arxiv.org/abs/1707.02286v3)\n", + " Summary: This paper explores the use of PPO in training agents to learn locomotion behaviors in complex and dynamic environments. The authors demonstrate the effectiveness of PPO in learning a variety of locomotion skills, such as walking, jumping, and climbing.\n", "\n", - "Reading these papers will give you a deeper understanding of PPO reinforcement learning and its applications in different domains." + "3. Title: \"Proximal Policy Optimization for Multi-Agent Systems\"\n", + " Article URL: [arxiv.org/abs/2006.14171v2](http://arxiv.org/abs/2006.14171v2)\n", + " Summary: This paper extends PPO to the domain of multi-agent systems, where multiple agents interact and learn together. The authors propose a decentralized version of PPO that allows each agent to update its policy independently based on its local observations, resulting in more scalable and efficient learning in multi-agent environments.\n", + "\n", + "These papers provide detailed explanations of the PPO algorithm, its advantages, and its applications in different scenarios. Reading them can give you a deeper understanding of how PPO reinforcement learning works." ], "text/plain": [ "" @@ -724,7 +692,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 15/15 [00:09<00:00, 1.67it/s]\n" + "100%|██████████| 6/6 [00:07<00:00, 1.19s/it]\n" ] }, { @@ -737,7 +705,25 @@ { "data": { "text/markdown": [ - "The paper discusses the unique decomposition of generators of completely positive dynamical semigroups in infinite dimensions. The main result is that for any separable complex Hilbert space, any trace-class operator B that does not have a purely imaginary trace, and any generator L of a norm-continuous one-parameter semigroup of completely positive maps, there exists a unique bounded operator K and a unique completely positive map Φ such that L=K(·) + (·)K∗+ Φ. The paper also introduces a modified version of the Choi formalism and characterizes when this correspondence is injective and surjective. The paper concludes by discussing the challenges and questions that arise when generalizing the results to non-separable Hilbert spaces." + "Core Argument:\n", + "- The academic paper explores the connection between the transverse field Ising (TFI) model and the ϕ4 model, highlighting the analogy between the coupling of topological solitary waves in the ϕ4 model and the effect of the transverse field on spin flips in the TFI model.\n", + "- The study reveals regimes of memory/loss of memory and coherence/decoherence in the classical ϕ4 model subjected to periodic perturbations, which are essential in annealing phenomena.\n", + "- The exploration of the analogy between lower-dimensional linear quantum systems and higher-dimensional classical nonlinear systems can lead to a deeper understanding of information processing in these systems.\n", + "\n", + "Evidence:\n", + "- The authors analyze the dynamics and relaxation of weakly coupled ϕ4 chains through numerical simulations, studying the behavior of kink and breather excitations and the structural phase transition associated with the double well potential.\n", + "- The critical temperature (Tc) approaches zero as the inter-chain coupling strength (C⊥) approaches zero, but there is a finite Tc for C⊥>0.\n", + "- The spectral function shows peaks corresponding to particle motion across the double-well potential at higher temperatures and oscillations in a single well at lower temperatures.\n", + "- The soft-mode frequency (ωs) decreases as temperature approaches Ts, the dynamical crossover temperature.\n", + "- The relaxation process of the average displacement (QD) is controlled by spatially extended vibrations and large kink densities.\n", + "- The mean domain size (⟨DS⟩) exhibits an algebraic decay for finite C⊥>0.\n", + "- The probability of larger domain sizes is higher before a kick compared to after a kick for C⊥>0.\n", + "\n", + "Conclusions:\n", + "- The study of weakly-coupled classical ϕ4 chains provides insights into quantum annealing architectures and the role of topological excitations in these systems.\n", + "- The equilibration of the system is faster for higher kick strengths, and the mean domain size increases with higher final temperatures.\n", + "- Further exploration of the crossover between decoherence and finite coherence in periodic-kick strength space is suggested.\n", + "- The paper highlights the importance of recognizing similarities between classical nonlinear equations and quantum linear ones in information processing and suggests future research directions in this area." ], "text/plain": [ "" diff --git a/examples/How_to_call_functions_with_chat_models.ipynb b/examples/How_to_call_functions_with_chat_models.ipynb index 6216182..3a74287 100644 --- a/examples/How_to_call_functions_with_chat_models.ipynb +++ b/examples/How_to_call_functions_with_chat_models.ipynb @@ -12,7 +12,7 @@ "\n", "`tools` is an optional parameter in the Chat Completion API which can be used to provide function specifications. The purpose of this is to enable models to generate function arguments which adhere to the provided specifications. Note that the API will not actually execute any function calls. It is up to developers to execute function calls using model outputs.\n", "\n", - "Within the `tools` parameter, if the `functions` parameter is provided then by default the model will decide when it is appropriate to use one of the functions. The API can be forced to use a specific function by setting the `tool_choice` parameter to `{\"name\": \"\"}`. The API can also be forced to not use any function by setting the `tool_choice` parameter to `\"none\"`. If a function is used, the output will contain `\"finish_reason\": \"function_call\"` in the response, as well as a `tool_choice` object that has the name of the function and the generated function arguments.\n", + "Within the `tools` parameter, if the `functions` parameter is provided then by default the model will decide when it is appropriate to use one of the functions. The API can be forced to use a specific function by setting the `tool_choice` parameter to `{\"type\": \"function\", \"function\": {\"name\": \"my_function\"}}`. The API can also be forced to not use any function by setting the `tool_choice` parameter to `\"none\"`. If a function is used, the output will contain `\"finish_reason\": \"tool_calls\"` in the response, as well as a `tool_calls` object that has the name of the function and the generated function arguments.\n", "\n", "### Overview\n", "\n", @@ -40,45 +40,13 @@ "is_executing": true } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: scipy in /usr/local/lib/python3.11/site-packages (1.12.0)\n", - "Requirement already satisfied: numpy<1.29.0,>=1.22.4 in /usr/local/lib/python3.11/site-packages (from scipy) (1.26.3)\n", - "Requirement already satisfied: tenacity in /usr/local/lib/python3.11/site-packages (8.2.3)\n", - "Requirement already satisfied: tiktoken in /usr/local/lib/python3.11/site-packages (0.3.3)\n", - "Requirement already satisfied: regex>=2022.1.18 in /usr/local/lib/python3.11/site-packages (from tiktoken) (2023.12.25)\n", - "Requirement already satisfied: requests>=2.26.0 in /usr/local/lib/python3.11/site-packages (from tiktoken) (2.31.0)\n", - "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/site-packages (from requests>=2.26.0->tiktoken) (3.3.2)\n", - "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/site-packages (from requests>=2.26.0->tiktoken) (3.6)\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/site-packages (from requests>=2.26.0->tiktoken) (2.1.0)\n", - "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/site-packages (from requests>=2.26.0->tiktoken) (2023.11.17)\n", - "Requirement already satisfied: termcolor in /usr/local/lib/python3.11/site-packages (2.4.0)\n", - "Requirement already satisfied: openai in /usr/local/lib/python3.11/site-packages (1.10.0)\n", - "Requirement already satisfied: anyio<5,>=3.5.0 in /usr/local/lib/python3.11/site-packages (from openai) (4.2.0)\n", - "Requirement already satisfied: distro<2,>=1.7.0 in /usr/local/lib/python3.11/site-packages (from openai) (1.9.0)\n", - "Requirement already satisfied: httpx<1,>=0.23.0 in /usr/local/lib/python3.11/site-packages (from openai) (0.26.0)\n", - "Requirement already satisfied: pydantic<3,>=1.9.0 in /usr/local/lib/python3.11/site-packages (from openai) (2.5.3)\n", - "Requirement already satisfied: sniffio in /usr/local/lib/python3.11/site-packages (from openai) (1.3.0)\n", - "Requirement already satisfied: tqdm>4 in /usr/local/lib/python3.11/site-packages (from openai) (4.66.1)\n", - "Requirement already satisfied: typing-extensions<5,>=4.7 in /usr/local/lib/python3.11/site-packages (from openai) (4.9.0)\n", - "Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.11/site-packages (from anyio<5,>=3.5.0->openai) (3.6)\n", - "Requirement already satisfied: certifi in /usr/local/lib/python3.11/site-packages (from httpx<1,>=0.23.0->openai) (2023.11.17)\n", - "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.11/site-packages (from httpx<1,>=0.23.0->openai) (1.0.2)\n", - "Requirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.11/site-packages (from httpcore==1.*->httpx<1,>=0.23.0->openai) (0.14.0)\n", - "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.11/site-packages (from pydantic<3,>=1.9.0->openai) (0.6.0)\n", - "Requirement already satisfied: pydantic-core==2.14.6 in /usr/local/lib/python3.11/site-packages (from pydantic<3,>=1.9.0->openai) (2.14.6)\n" - ] - } - ], + "outputs": [], "source": [ - "!pip install scipy\n", - "!pip install tenacity\n", - "!pip install tiktoken\n", - "!pip install termcolor \n", - "!pip install openai" + "!pip install scipy --quiet\n", + "!pip install tenacity --quiet\n", + "!pip install tiktoken --quiet\n", + "!pip install termcolor --quiet\n", + "!pip install openai --quiet" ] }, { @@ -247,7 +215,7 @@ { "data": { "text/plain": [ - "ChatCompletionMessage(content='Sure, I can help you with that. Could you please provide me with your location?', role='assistant', function_call=None, tool_calls=None)" + "ChatCompletionMessage(content='Sure, could you please tell me the location for which you would like to know the weather?', role='assistant', function_call=None, tool_calls=None)" ] }, "execution_count": 6, @@ -285,7 +253,7 @@ { "data": { "text/plain": [ - "ChatCompletionMessage(content=None, role='assistant', function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_qOYhFO7fKaU6wpG2f1XzkDjW', function=Function(arguments='{\\n \"location\": \"Glasgow, Scotland\",\\n \"format\": \"celsius\"\\n}', name='get_current_weather'), type='function')])" + "ChatCompletionMessage(content=None, role='assistant', function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_2PArU89L2uf4uIzRqnph4SrN', function=Function(arguments='{\\n \"location\": \"Glasgow, Scotland\",\\n \"format\": \"celsius\"\\n}', name='get_current_weather'), type='function')])" ] }, "execution_count": 7, @@ -321,7 +289,7 @@ { "data": { "text/plain": [ - "ChatCompletionMessage(content='Sure! Please provide the number of days you would like to know the weather forecast for.', role='assistant', function_call=None, tool_calls=None)" + "ChatCompletionMessage(content='Sure, I can help you with that. How many days would you like to get the weather forecast for?', role='assistant', function_call=None, tool_calls=None)" ] }, "execution_count": 8, @@ -359,7 +327,7 @@ { "data": { "text/plain": [ - "Choice(finish_reason='tool_calls', index=0, logprobs=None, message=ChatCompletionMessage(content=None, role='assistant', function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_HwWHsNZsmkZUroPj6glmEgA5', function=Function(arguments='{\\n \"location\": \"Glasgow, Scotland\",\\n \"format\": \"celsius\",\\n \"num_days\": 5\\n}', name='get_n_day_weather_forecast'), type='function')]), internal_metrics=[{'cached_prompt_tokens': 0, 'total_accepted_tokens': 0, 'total_batched_tokens': 269, 'total_predicted_tokens': 0, 'total_rejected_tokens': 0, 'total_tokens_in_completion': 270, 'cached_embeddings_bytes': 0, 'cached_embeddings_n': 0, 'uncached_embeddings_bytes': 0, 'uncached_embeddings_n': 0, 'fetched_embeddings_bytes': 0, 'fetched_embeddings_n': 0, 'n_evictions': 0, 'sampling_steps': 40, 'sampling_steps_with_predictions': 0, 'batcher_ttft': 0.055008649826049805, 'batcher_initial_queue_time': 0.00098419189453125}])" + "Choice(finish_reason='tool_calls', index=0, logprobs=None, message=ChatCompletionMessage(content=None, role='assistant', function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_ujD1NwPxzeOSCbgw2NOabOin', function=Function(arguments='{\\n \"location\": \"Glasgow, Scotland\",\\n \"format\": \"celsius\",\\n \"num_days\": 5\\n}', name='get_n_day_weather_forecast'), type='function')]), internal_metrics=[{'cached_prompt_tokens': 128, 'total_accepted_tokens': 0, 'total_batched_tokens': 273, 'total_predicted_tokens': 0, 'total_rejected_tokens': 0, 'total_tokens_in_completion': 274, 'cached_embeddings_bytes': 0, 'cached_embeddings_n': 0, 'uncached_embeddings_bytes': 0, 'uncached_embeddings_n': 0, 'fetched_embeddings_bytes': 0, 'fetched_embeddings_n': 0, 'n_evictions': 0, 'sampling_steps': 40, 'sampling_steps_with_predictions': 0, 'batcher_ttft': 0.035738229751586914, 'batcher_initial_queue_time': 0.0007979869842529297}])" ] }, "execution_count": 9, @@ -402,7 +370,7 @@ { "data": { "text/plain": [ - "ChatCompletionMessage(content=None, role='assistant', function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_240XQedt4Gi8VZsUwOvFpQfZ', function=Function(arguments='{\\n \"location\": \"Toronto, Canada\",\\n \"format\": \"celsius\",\\n \"num_days\": 1\\n}', name='get_n_day_weather_forecast'), type='function')])" + "ChatCompletionMessage(content=None, role='assistant', function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_MapM0kaNZBR046H4tAB2UGVu', function=Function(arguments='{\\n \"location\": \"Toronto, Canada\",\\n \"format\": \"celsius\",\\n \"num_days\": 1\\n}', name='get_n_day_weather_forecast'), type='function')])" ] }, "execution_count": 10, @@ -430,7 +398,7 @@ { "data": { "text/plain": [ - "ChatCompletionMessage(content=None, role='assistant', function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_lQhrFlzIVPpeYG1QrSv7e3H3', function=Function(arguments='{\\n \"location\": \"Toronto, Canada\",\\n \"format\": \"celsius\"\\n}', name='get_current_weather'), type='function')])" + "ChatCompletionMessage(content=None, role='assistant', function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_z8ijGSoMLS7xcaU7MjLmpRL8', function=Function(arguments='{\\n \"location\": \"Toronto, Canada\",\\n \"format\": \"celsius\"\\n}', name='get_current_weather'), type='function')])" ] }, "execution_count": 11, @@ -504,8 +472,8 @@ { "data": { "text/plain": [ - "[ChatCompletionMessageToolCall(id='call_q8k4geh0uGPRtIfOXYPB0yM8', function=Function(arguments='{\"location\": \"San Francisco, CA\", \"format\": \"celsius\", \"num_days\": 4}', name='get_n_day_weather_forecast'), type='function'),\n", - " ChatCompletionMessageToolCall(id='call_Hdl7Py7aLswCBPptrD4y5BD3', function=Function(arguments='{\"location\": \"Glasgow\", \"format\": \"celsius\", \"num_days\": 4}', name='get_n_day_weather_forecast'), type='function')]" + "[ChatCompletionMessageToolCall(id='call_8BlkS2yvbkkpL3V1Yxc6zR6u', function=Function(arguments='{\"location\": \"San Francisco, CA\", \"format\": \"celsius\", \"num_days\": 4}', name='get_n_day_weather_forecast'), type='function'),\n", + " ChatCompletionMessageToolCall(id='call_vSZMy3f24wb3vtNXucpFfAbG', function=Function(arguments='{\"location\": \"Glasgow\", \"format\": \"celsius\", \"num_days\": 4}', name='get_n_day_weather_forecast'), type='function')]" ] }, "execution_count": 13, @@ -720,7 +688,7 @@ "\u001b[0m\n", "\u001b[32muser: Hi, who are the top 5 artists by number of tracks?\n", "\u001b[0m\n", - "\u001b[34massistant: Function(arguments='{\\n \"query\": \"SELECT artist.Name, COUNT(track.TrackId) AS num_tracks FROM artist JOIN album ON artist.ArtistId = album.ArtistId JOIN track ON album.AlbumId = track.AlbumId GROUP BY artist.ArtistId ORDER BY num_tracks DESC LIMIT 5\"\\n}', name='ask_database')\n", + "\u001b[34massistant: Function(arguments='{\\n \"query\": \"SELECT Artist.Name, COUNT(Track.TrackId) AS TrackCount FROM Artist JOIN Album ON Artist.ArtistId = Album.ArtistId JOIN Track ON Album.AlbumId = Track.AlbumId GROUP BY Artist.ArtistId ORDER BY TrackCount DESC LIMIT 5;\"\\n}', name='ask_database')\n", "\u001b[0m\n", "\u001b[35mfunction (ask_database): [('Iron Maiden', 213), ('U2', 135), ('Led Zeppelin', 114), ('Metallica', 112), ('Lost', 92)]\n", "\u001b[0m\n" @@ -757,13 +725,13 @@ "\u001b[0m\n", "\u001b[32muser: Hi, who are the top 5 artists by number of tracks?\n", "\u001b[0m\n", - "\u001b[34massistant: Function(arguments='{\\n \"query\": \"SELECT artist.Name, COUNT(track.TrackId) AS num_tracks FROM artist JOIN album ON artist.ArtistId = album.ArtistId JOIN track ON album.AlbumId = track.AlbumId GROUP BY artist.ArtistId ORDER BY num_tracks DESC LIMIT 5\"\\n}', name='ask_database')\n", + "\u001b[34massistant: Function(arguments='{\\n \"query\": \"SELECT Artist.Name, COUNT(Track.TrackId) AS TrackCount FROM Artist JOIN Album ON Artist.ArtistId = Album.ArtistId JOIN Track ON Album.AlbumId = Track.AlbumId GROUP BY Artist.ArtistId ORDER BY TrackCount DESC LIMIT 5;\"\\n}', name='ask_database')\n", "\u001b[0m\n", "\u001b[35mfunction (ask_database): [('Iron Maiden', 213), ('U2', 135), ('Led Zeppelin', 114), ('Metallica', 112), ('Lost', 92)]\n", "\u001b[0m\n", "\u001b[32muser: What is the name of the album with the most tracks?\n", "\u001b[0m\n", - "\u001b[34massistant: Function(arguments='{\\n \"query\": \"SELECT album.Title, COUNT(track.TrackId) AS num_tracks FROM album JOIN track ON album.AlbumId = track.AlbumId GROUP BY album.AlbumId ORDER BY num_tracks DESC LIMIT 1\"\\n}', name='ask_database')\n", + "\u001b[34massistant: Function(arguments='{\\n \"query\": \"SELECT Album.Title, COUNT(Track.TrackId) AS TrackCount FROM Album JOIN Track ON Album.AlbumId = Track.AlbumId GROUP BY Album.AlbumId ORDER BY TrackCount DESC LIMIT 1;\"\\n}', name='ask_database')\n", "\u001b[0m\n", "\u001b[35mfunction (ask_database): [('Greatest Hits', 57)]\n", "\u001b[0m\n" @@ -792,12 +760,6 @@ "\n", "See our other [notebook](How_to_call_functions_for_knowledge_retrieval.ipynb) that demonstrates how to use the Chat Completions API and functions for knowledge retrieval to interact conversationally with a knowledge base." ] - }, - { - "cell_type": "markdown", - "id": "ec721d07", - "metadata": {}, - "source": [] } ], "metadata": { From 28f7e883824222543241be1060bfd01a8ab5dea2 Mon Sep 17 00:00:00 2001 From: Teo Musatoiu <156829031+teomusatoiu@users.noreply.github.com> Date: Tue, 27 Feb 2024 17:16:46 +0000 Subject: [PATCH 02/44] Update registry.yaml (#1076) Co-authored-by: Logan Kilpatrick --- registry.yaml | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/registry.yaml b/registry.yaml index 749cfff..dea8955 100644 --- a/registry.yaml +++ b/registry.yaml @@ -164,15 +164,6 @@ - completions - functions -- title: How to combine GPTV with RAG Create a Clothing Matchmaker App - path: examples/How_to_Combine_GPTv_with_RAG_Outfit_Assistant.ipynb - date: 2024-02-16 - authors: - - teomusatoiu - tags: - - vision - - embeddings - - title: How to count tokens with tiktoken path: examples/How_to_count_tokens_with_tiktoken.ipynb date: 2022-12-16 @@ -1203,3 +1194,12 @@ - colin-jarvis tags: - guardrails + +- title: How to combine GPT-V with RAG to create a clothing matchmaker app + path: examples/How_to_Combine_GPTv_with_RAG_Outfit_Assistant.ipynb + date: 2024-02-16 + authors: + - teomusatoiu + tags: + - vision + - embeddings From 88051d41850d65a884492e945431c2206481ecb9 Mon Sep 17 00:00:00 2001 From: James Hills <70035505+jhills20@users.noreply.github.com> Date: Tue, 27 Feb 2024 09:17:56 -0800 Subject: [PATCH 03/44] fix hyperlink (#1052) --- .../Fine_tuning_for_function_calling.ipynb | 629 +++++++----------- examples/Using_logprobs.ipynb | 9 +- 2 files changed, 257 insertions(+), 381 deletions(-) diff --git a/examples/Fine_tuning_for_function_calling.ipynb b/examples/Fine_tuning_for_function_calling.ipynb index 12a7209..78e8859 100644 --- a/examples/Fine_tuning_for_function_calling.ipynb +++ b/examples/Fine_tuning_for_function_calling.ipynb @@ -114,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -125,6 +125,7 @@ " temperature=1.0,\n", " stop=None,\n", " tools=None,\n", + " functions=None\n", ") -> str:\n", " params = {\n", " 'model': model,\n", @@ -134,6 +135,8 @@ " 'stop': stop,\n", " 'tools': tools,\n", " }\n", + " if functions:\n", + " params['functions'] = functions\n", "\n", " completion = client.chat.completions.create(**params)\n", " return completion.choices[0].message\n" @@ -181,279 +184,240 @@ "source": [ "function_list = [\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"takeoff_drone\",\n", - " \"description\": \"Initiate the drone's takeoff sequence.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"altitude\": {\n", - " \"type\": \"integer\",\n", - " \"description\": \"Specifies the altitude in meters to which the drone should ascend.\",\n", - " }\n", - " },\n", - " \"required\": [\"altitude\"],\n", + " \"name\": \"takeoff_drone\",\n", + " \"description\": \"Initiate the drone's takeoff sequence.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"altitude\": {\n", + " \"type\": \"integer\",\n", + " \"description\": \"Specifies the altitude in meters to which the drone should ascend.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"altitude\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"land_drone\",\n", - " \"description\": \"Land the drone at its current location or a specified landing point.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"location\": {\n", - " \"type\": \"string\",\n", - " \"enum\": [\"current\", \"home_base\", \"custom\"],\n", - " \"description\": \"Specifies the landing location for the drone.\",\n", - " },\n", - " \"coordinates\": {\n", - " \"type\": \"object\",\n", - " \"description\": \"GPS coordinates for custom landing location. Required if location is 'custom'.\",\n", - " },\n", + " \"name\": \"land_drone\",\n", + " \"description\": \"Land the drone at its current location or a specified landing point.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"location\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"current\", \"home_base\", \"custom\"],\n", + " \"description\": \"Specifies the landing location for the drone.\"\n", " },\n", - " \"required\": [\"location\"],\n", + " \"coordinates\": {\n", + " \"type\": \"object\",\n", + " \"description\": \"GPS coordinates for custom landing location. Required if location is 'custom'.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"location\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"control_drone_movement\",\n", - " \"description\": \"Direct the drone's movement in a specific direction.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"direction\": {\n", - " \"type\": \"string\",\n", - " \"enum\": [\"forward\", \"backward\", \"left\", \"right\", \"up\", \"down\"],\n", - " \"description\": \"Direction in which the drone should move.\",\n", - " },\n", - " \"distance\": {\n", - " \"type\": \"integer\",\n", - " \"description\": \"Distance in meters the drone should travel in the specified direction.\",\n", - " },\n", + " \"name\": \"control_drone_movement\",\n", + " \"description\": \"Direct the drone's movement in a specific direction.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"direction\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"forward\", \"backward\", \"left\", \"right\", \"up\", \"down\"],\n", + " \"description\": \"Direction in which the drone should move.\"\n", " },\n", - " \"required\": [\"direction\", \"distance\"],\n", + " \"distance\": {\n", + " \"type\": \"integer\",\n", + " \"description\": \"Distance in meters the drone should travel in the specified direction.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"direction\", \"distance\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"set_drone_speed\",\n", - " \"description\": \"Adjust the speed of the drone.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"speed\": {\n", - " \"type\": \"integer\",\n", - " \"description\": \"Specifies the speed in km/h.\",\n", - " }\n", - " },\n", - " \"required\": [\"speed\"],\n", + " \"name\": \"set_drone_speed\",\n", + " \"description\": \"Adjust the speed of the drone.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"speed\": {\n", + " \"type\": \"integer\",\n", + " \"description\": \"Specifies the speed in km/h.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"speed\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"control_camera\",\n", - " \"description\": \"Control the drone's camera to capture images or videos.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"mode\": {\n", - " \"type\": \"string\",\n", - " \"enum\": [\"photo\", \"video\", \"panorama\"],\n", - " \"description\": \"Camera mode to capture content.\",\n", - " },\n", - " \"duration\": {\n", - " \"type\": \"integer\",\n", - " \"description\": \"Duration in seconds for video capture. Required if mode is 'video'.\",\n", - " },\n", + " \"name\": \"control_camera\",\n", + " \"description\": \"Control the drone's camera to capture images or videos.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"mode\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"photo\", \"video\", \"panorama\"],\n", + " \"description\": \"Camera mode to capture content.\"\n", " },\n", - " \"required\": [\"mode\"],\n", + " \"duration\": {\n", + " \"type\": \"integer\",\n", + " \"description\": \"Duration in seconds for video capture. Required if mode is 'video'.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"mode\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"control_gimbal\",\n", - " \"description\": \"Adjust the drone's gimbal for camera stabilization and direction.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"tilt\": {\n", - " \"type\": \"integer\",\n", - " \"description\": \"Tilt angle for the gimbal in degrees.\",\n", - " },\n", - " \"pan\": {\n", - " \"type\": \"integer\",\n", - " \"description\": \"Pan angle for the gimbal in degrees.\",\n", - " },\n", + " \"name\": \"control_gimbal\",\n", + " \"description\": \"Adjust the drone's gimbal for camera stabilization and direction.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"tilt\": {\n", + " \"type\": \"integer\",\n", + " \"description\": \"Tilt angle for the gimbal in degrees.\"\n", " },\n", - " \"required\": [\"tilt\", \"pan\"],\n", + " \"pan\": {\n", + " \"type\": \"integer\",\n", + " \"description\": \"Pan angle for the gimbal in degrees.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"tilt\", \"pan\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"set_drone_lighting\",\n", - " \"description\": \"Control the drone's lighting for visibility and signaling.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"mode\": {\n", - " \"type\": \"string\",\n", - " \"enum\": [\"on\", \"off\", \"blink\", \"sos\"],\n", - " \"description\": \"Lighting mode for the drone.\",\n", - " }\n", - " },\n", - " \"required\": [\"mode\"],\n", + " \"name\": \"set_drone_lighting\",\n", + " \"description\": \"Control the drone's lighting for visibility and signaling.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"mode\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"on\", \"off\", \"blink\", \"sos\"],\n", + " \"description\": \"Lighting mode for the drone.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"mode\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"return_to_home\",\n", - " \"description\": \"Command the drone to return to its home or launch location.\",\n", - " \"parameters\": {\"type\": \"object\", \"properties\": {}},\n", - " },\n", + " \"name\": \"return_to_home\",\n", + " \"description\": \"Command the drone to return to its home or launch location.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {}\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"set_battery_saver_mode\",\n", - " \"description\": \"Toggle battery saver mode.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"status\": {\n", - " \"type\": \"string\",\n", - " \"enum\": [\"on\", \"off\"],\n", - " \"description\": \"Toggle battery saver mode.\",\n", - " }\n", - " },\n", - " \"required\": [\"status\"],\n", + " \"name\": \"set_battery_saver_mode\",\n", + " \"description\": \"Toggle battery saver mode.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"status\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"on\", \"off\"],\n", + " \"description\": \"Toggle battery saver mode.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"status\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"set_obstacle_avoidance\",\n", - " \"description\": \"Configure obstacle avoidance settings.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"mode\": {\n", - " \"type\": \"string\",\n", - " \"enum\": [\"on\", \"off\"],\n", - " \"description\": \"Toggle obstacle avoidance.\",\n", - " }\n", - " },\n", - " \"required\": [\"mode\"],\n", + " \"name\": \"set_obstacle_avoidance\",\n", + " \"description\": \"Configure obstacle avoidance settings.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"mode\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"on\", \"off\"],\n", + " \"description\": \"Toggle obstacle avoidance.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"mode\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"set_follow_me_mode\",\n", - " \"description\": \"Enable or disable 'follow me' mode.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"status\": {\n", - " \"type\": \"string\",\n", - " \"enum\": [\"on\", \"off\"],\n", - " \"description\": \"Toggle 'follow me' mode.\",\n", - " }\n", - " },\n", - " \"required\": [\"status\"],\n", + " \"name\": \"set_follow_me_mode\",\n", + " \"description\": \"Enable or disable 'follow me' mode.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"status\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"on\", \"off\"],\n", + " \"description\": \"Toggle 'follow me' mode.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"status\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"calibrate_sensors\",\n", - " \"description\": \"Initiate calibration sequence for drone's sensors.\",\n", - " \"parameters\": {\"type\": \"object\", \"properties\": {}},\n", - " },\n", + " \"name\": \"calibrate_sensors\",\n", + " \"description\": \"Initiate calibration sequence for drone's sensors.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {}\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"set_autopilot\",\n", - " \"description\": \"Enable or disable autopilot mode.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"status\": {\n", - " \"type\": \"string\",\n", - " \"enum\": [\"on\", \"off\"],\n", - " \"description\": \"Toggle autopilot mode.\",\n", - " }\n", - " },\n", - " \"required\": [\"status\"],\n", + " \"name\": \"set_autopilot\",\n", + " \"description\": \"Enable or disable autopilot mode.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"status\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"on\", \"off\"],\n", + " \"description\": \"Toggle autopilot mode.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"status\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"configure_led_display\",\n", - " \"description\": \"Configure the drone's LED display pattern and colors.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"pattern\": {\n", - " \"type\": \"string\",\n", - " \"enum\": [\"solid\", \"blink\", \"pulse\", \"rainbow\"],\n", - " \"description\": \"Pattern for the LED display.\",\n", - " },\n", - " \"color\": {\n", - " \"type\": \"string\",\n", - " \"enum\": [\"red\", \"blue\", \"green\", \"yellow\", \"white\"],\n", - " \"description\": \"Color for the LED display. Not required if pattern is 'rainbow'.\",\n", - " },\n", + " \"name\": \"configure_led_display\",\n", + " \"description\": \"Configure the drone's LED display pattern and colors.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"pattern\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"solid\", \"blink\", \"pulse\", \"rainbow\"],\n", + " \"description\": \"Pattern for the LED display.\"\n", " },\n", - " \"required\": [\"pattern\"],\n", + " \"color\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"red\", \"blue\", \"green\", \"yellow\", \"white\"],\n", + " \"description\": \"Color for the LED display. Not required if pattern is 'rainbow'.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"pattern\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"set_home_location\",\n", - " \"description\": \"Set or change the home location for the drone.\",\n", - " \"parameters\": {\n", - " \"type\": \"object\",\n", - " \"properties\": {\n", - " \"coordinates\": {\n", - " \"type\": \"object\",\n", - " \"description\": \"GPS coordinates for the home location.\",\n", - " }\n", - " },\n", - " \"required\": [\"coordinates\"],\n", + " \"name\": \"set_home_location\",\n", + " \"description\": \"Set or change the home location for the drone.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"coordinates\": {\n", + " \"type\": \"object\",\n", + " \"description\": \"GPS coordinates for the home location.\"\n", + " }\n", " },\n", - " },\n", + " \"required\": [\"coordinates\"]\n", + " }\n", " },\n", " {\n", - " \"type\": \"function\",\n", - " \"function\": {\n", - " \"name\": \"reject_request\",\n", - " \"description\": \"Use this function if the request is not possible.\",\n", - " \"parameters\": {\"type\": \"object\", \"properties\": {}},\n", - " },\n", + " \"name\": \"reject_request\",\n", + " \"description\": \"Use this function if the request is not possible.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {}\n", + " }\n", " },\n", "]\n" ] @@ -487,16 +451,16 @@ "output_type": "stream", "text": [ "Land the drone at the home base\n", - "Function(arguments='{\\n \"location\": \"home_base\"\\n}', name='land_drone') \n", + "FunctionCall(arguments='{\\n \"location\": \"home_base\"\\n}', name='land_drone') \n", "\n", "Take off the drone to 50 meters\n", - "Function(arguments='{\\n \"altitude\": 50\\n}', name='takeoff_drone') \n", + "FunctionCall(arguments='{\\n \"altitude\": 50\\n}', name='takeoff_drone') \n", "\n", "change speed to 15 kilometers per hour\n", - "Function(arguments='{\\n \"speed\": 15\\n}', name='set_drone_speed') \n", + "FunctionCall(arguments='{ \"speed\": 15 }', name='set_drone_speed') \n", "\n", "turn into an elephant!\n", - "Function(arguments='{}', name='reject_request') \n", + "FunctionCall(arguments='{}', name='reject_request') \n", "\n" ] } @@ -508,7 +472,7 @@ " messages.append({\"role\": \"user\", \"content\": prompt})\n", " completion = get_chat_completion(model=\"gpt-3.5-turbo\",messages=messages,tools=function_list)\n", " print(prompt)\n", - " print(completion.tool_calls[0].function,'\\n')\n" + " print(completion.function_call,'\\n')\n" ] }, { @@ -533,7 +497,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -541,28 +505,23 @@ "output_type": "stream", "text": [ "Play pre-recorded audio message\n", - "Function(arguments='{}', name='reject_request') \n", - "\n", + "FunctionCall(arguments='{}', name='reject_request')\n", "\n", "\n", "Initiate live-streaming on social media\n", - "Function(arguments='{\\n\"mode\": \"video\",\\n\"duration\": 0\\n}', name='control_camera') \n", - "\n", + "FunctionCall(arguments='{\\n \"mode\": \"video\",\\n \"duration\": 0\\n}', name='control_camera')\n", "\n", "\n", "Scan environment for heat signatures\n", - "Function(arguments='{ \"mode\": \"photo\" }', name='control_camera') \n", - "\n", + "FunctionCall(arguments='{\\n \"mode\": \"photo\"\\n}', name='control_camera')\n", "\n", "\n", "Enable stealth mode\n", - "Function(arguments='{\\n \"mode\": \"off\"\\n}', name='set_drone_lighting') \n", - "\n", + "FunctionCall(arguments='{\\n \"mode\": \"off\"\\n}', name='set_drone_lighting')\n", "\n", "\n", "Change drone's paint job color\n", - "Function(arguments='{\\n \"pattern\": \"solid\",\\n \"color\": \"blue\"\\n}', name='configure_led_display') \n", - "\n", + "FunctionCall(arguments='{\\n \"pattern\": \"solid\",\\n \"color\": \"blue\"\\n}', name='configure_led_display')\n", "\n", "\n" ] @@ -576,10 +535,10 @@ " completion = get_chat_completion(model=\"gpt-3.5-turbo\",messages=messages,tools=function_list)\n", " print(prompt)\n", " try:\n", - " print(completion.tool_calls[0].function,'\\n')\n", + " print(completion.function_call)\n", " print('\\n')\n", " except:\n", - " print(completion.tool_calls[0].content,'\\n')\n", + " print(completion.content)\n", " print('\\n')\n" ] }, @@ -625,7 +584,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -645,7 +604,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -752,7 +711,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -822,7 +781,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -830,8 +789,8 @@ "all_but_reject = [f for f in function_list if f.get('name') != 'reject_request']\n", "\n", "for function in all_but_reject:\n", - " func_name = function['function']['name']\n", - " params = function['function']['parameters']\n", + " func_name = function[\"name\"]\n", + " params = function[\"parameters\"]\n", " for arguments in generate_permutations(params):\n", " if any(val in arguments.values() for val in ['fill_in_int', 'fill_in_str']):\n", " input_object = {\n", @@ -858,21 +817,22 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "def create_commands(invocation_list):\n", " example_list = []\n", " for i, invocation in enumerate(invocation_list):\n", - " print(f'\\033[34m{np.round(100*i/len(invocation_list),1)}% complete\\033[0m')\n", - " print(invocation)\n", + " if i<10:\n", + " print(f'\\033[34m{np.round(100*i/len(invocation_list),1)}% complete\\033[0m')\n", + " print(invocation)\n", "\n", " # Format the prompt with the invocation string\n", " request_prompt = COMMAND_GENERATION_PROMPT.format(invocation=invocation)\n", "\n", " messages = [{\"role\": \"user\", \"content\": f\"{request_prompt}\"}]\n", - " completion = get_chat_completion(messages,temperature=0.8).content\n", + " completion = get_chat_completion(messages,temperature=0.8)\n", " command_dict = {\n", " \"Input\": invocation,\n", " \"Prompt\": completion\n", @@ -883,7 +843,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -894,121 +854,28 @@ "{'name': 'takeoff_drone', 'arguments': {'altitude': 100}}\n", "\u001b[34m1.8% complete\u001b[0m\n", "{'name': 'land_drone', 'arguments': {'location': 'current'}}\n", - "\u001b[34m3.5% complete\u001b[0m\n", + "\u001b[34m3.6% complete\u001b[0m\n", "{'name': 'land_drone', 'arguments': {'location': 'home_base'}}\n", - "\u001b[34m5.3% complete\u001b[0m\n", + "\u001b[34m5.4% complete\u001b[0m\n", "{'name': 'land_drone', 'arguments': {'location': 'custom'}}\n", - "\u001b[34m7.0% complete\u001b[0m\n", + "\u001b[34m7.1% complete\u001b[0m\n", "{'name': 'control_drone_movement', 'arguments': {'direction': 'forward', 'distance': 50}}\n", - "\u001b[34m8.8% complete\u001b[0m\n", + "\u001b[34m8.9% complete\u001b[0m\n", "{'name': 'control_drone_movement', 'arguments': {'direction': 'backward', 'distance': 10}}\n", - "\u001b[34m10.5% complete\u001b[0m\n", + "\u001b[34m10.7% complete\u001b[0m\n", "{'name': 'control_drone_movement', 'arguments': {'direction': 'left', 'distance': 10}}\n", - "\u001b[34m12.3% complete\u001b[0m\n", + "\u001b[34m12.5% complete\u001b[0m\n", "{'name': 'control_drone_movement', 'arguments': {'direction': 'right', 'distance': 10}}\n", - "\u001b[34m14.0% complete\u001b[0m\n", + "\u001b[34m14.3% complete\u001b[0m\n", "{'name': 'control_drone_movement', 'arguments': {'direction': 'up', 'distance': 20}}\n", - "\u001b[34m15.8% complete\u001b[0m\n", - "{'name': 'control_drone_movement', 'arguments': {'direction': 'down', 'distance': 10}}\n", - "\u001b[34m17.5% complete\u001b[0m\n", - "{'name': 'set_drone_speed', 'arguments': {'speed': 20}}\n", - "\u001b[34m19.3% complete\u001b[0m\n", - "{'name': 'control_camera', 'arguments': {'mode': 'photo'}}\n", - "\u001b[34m21.1% complete\u001b[0m\n", - "{'name': 'control_camera', 'arguments': {'mode': 'photo', 'duration': 0}}\n", - "\u001b[34m22.8% complete\u001b[0m\n", - "{'name': 'control_camera', 'arguments': {'mode': 'video'}}\n", - "\u001b[34m24.6% complete\u001b[0m\n", - "{'name': 'control_camera', 'arguments': {'mode': 'video', 'duration': 60}}\n", - "\u001b[34m26.3% complete\u001b[0m\n", - "{'name': 'control_camera', 'arguments': {'mode': 'panorama'}}\n", - "\u001b[34m28.1% complete\u001b[0m\n", - "{'name': 'control_camera', 'arguments': {'mode': 'panorama', 'duration': 0}}\n", - "\u001b[34m29.8% complete\u001b[0m\n", - "{'name': 'control_gimbal', 'arguments': {'tilt': 45, 'pan': 30}}\n", - "\u001b[34m31.6% complete\u001b[0m\n", - "{'name': 'set_drone_lighting', 'arguments': {'mode': 'on'}}\n", - "\u001b[34m33.3% complete\u001b[0m\n", - "{'name': 'set_drone_lighting', 'arguments': {'mode': 'off'}}\n", - "\u001b[34m35.1% complete\u001b[0m\n", - "{'name': 'set_drone_lighting', 'arguments': {'mode': 'blink'}}\n", - "\u001b[34m36.8% complete\u001b[0m\n", - "{'name': 'set_drone_lighting', 'arguments': {'mode': 'sos'}}\n", - "\u001b[34m38.6% complete\u001b[0m\n", - "{'name': 'return_to_home', 'arguments': {}}\n", - "\u001b[34m40.4% complete\u001b[0m\n", - "{'name': 'set_battery_saver_mode', 'arguments': {'status': 'on'}}\n", - "\u001b[34m42.1% complete\u001b[0m\n", - "{'name': 'set_battery_saver_mode', 'arguments': {'status': 'off'}}\n", - "\u001b[34m43.9% complete\u001b[0m\n", - "{'name': 'set_obstacle_avoidance', 'arguments': {'mode': 'on'}}\n", - "\u001b[34m45.6% complete\u001b[0m\n", - "{'name': 'set_obstacle_avoidance', 'arguments': {'mode': 'off'}}\n", - "\u001b[34m47.4% complete\u001b[0m\n", - "{'name': 'set_follow_me_mode', 'arguments': {'status': 'on'}}\n", - "\u001b[34m49.1% complete\u001b[0m\n", - "{'name': 'set_follow_me_mode', 'arguments': {'status': 'off'}}\n", - "\u001b[34m50.9% complete\u001b[0m\n", - "{'name': 'calibrate_sensors', 'arguments': {}}\n", - "\u001b[34m52.6% complete\u001b[0m\n", - "{'name': 'set_autopilot', 'arguments': {'status': 'on'}}\n", - "\u001b[34m54.4% complete\u001b[0m\n", - "{'name': 'set_autopilot', 'arguments': {'status': 'off'}}\n", - "\u001b[34m56.1% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'solid'}}\n", - "\u001b[34m57.9% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'solid', 'color': 'red'}}\n", - "\u001b[34m59.6% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'solid', 'color': 'blue'}}\n", - "\u001b[34m61.4% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'solid', 'color': 'green'}}\n", - "\u001b[34m63.2% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'solid', 'color': 'yellow'}}\n", - "\u001b[34m64.9% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'solid', 'color': 'white'}}\n", - "\u001b[34m66.7% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'blink'}}\n", - "\u001b[34m68.4% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'blink', 'color': 'red'}}\n", - "\u001b[34m70.2% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'blink', 'color': 'blue'}}\n", - "\u001b[34m71.9% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'blink', 'color': 'green'}}\n", - "\u001b[34m73.7% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'blink', 'color': 'yellow'}}\n", - "\u001b[34m75.4% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'blink', 'color': 'white'}}\n", - "\u001b[34m77.2% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'pulse'}}\n", - "\u001b[34m78.9% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'pulse', 'color': 'red'}}\n", - "\u001b[34m80.7% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'pulse', 'color': 'blue'}}\n", - "\u001b[34m82.5% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'pulse', 'color': 'green'}}\n", - "\u001b[34m84.2% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'pulse', 'color': 'yellow'}}\n", - "\u001b[34m86.0% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'pulse', 'color': 'white'}}\n", - "\u001b[34m87.7% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'rainbow'}}\n", - "\u001b[34m89.5% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'rainbow', 'color': 'red'}}\n", - "\u001b[34m91.2% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'rainbow', 'color': 'blue'}}\n", - "\u001b[34m93.0% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'rainbow', 'color': 'green'}}\n", - "\u001b[34m94.7% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'rainbow', 'color': 'yellow'}}\n", - "\u001b[34m96.5% complete\u001b[0m\n", - "{'name': 'configure_led_display', 'arguments': {'pattern': 'rainbow', 'color': 'white'}}\n", - "\u001b[34m98.2% complete\u001b[0m\n", - "{'name': 'reject_request', 'arguments': {}}\n" + "\u001b[34m16.1% complete\u001b[0m\n", + "{'name': 'control_drone_movement', 'arguments': {'direction': 'down', 'distance': 10}}\n" ] } ], "source": [ - "training_examples_unformatted = create_commands(input_objects)" + "#Only printing the first 10 rows\n", + "training_examples_unformatted = create_commands(input_objects)\n" ] }, { @@ -1020,23 +887,25 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "training_examples = []\n", + "\n", "for prompt in training_examples_unformatted:\n", " #adjust formatting for training data specs\n", - " try:\n", - " prompt[\"Input\"] = ast.literal_eval(prompt[\"Input\"])\n", - " except:\n", - " continue\n", + "\n", + " #if its not a dict, convert to dict\n", + " if type(prompt['Input'])!=dict:\n", + " prompt['Input'] = ast.literal_eval(prompt['Input'])\n", " prompt['Input']['arguments']=json.dumps(prompt['Input']['arguments'])\n", - " for p in prompt['Prompt']:\n", + " for p in ast.literal_eval(prompt['Prompt'].content):\n", " training_examples.append({\"messages\": [{\"role\":\"system\",\"content\":DRONE_SYSTEM_PROMPT\n", " },{\"role\":\"user\",\"content\": p},\n", " {\"role\":\"assistant\",\"function_call\": prompt['Input']}],\n", - " \"functions\":[func['function'] for func in function_list]})\n" + " \"functions\":function_list})\n", + "\n" ] }, { @@ -1048,7 +917,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -1071,7 +940,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -1082,7 +951,7 @@ " reject_training_list.append({\"messages\": [{\"role\":\"system\",\"content\":DRONE_SYSTEM_PROMPT\n", " },{\"role\":\"user\",\"content\": prompt},\n", " {\"role\":\"assistant\",\"function_call\": {\"name\": \"reject_request\",\"arguments\": \"{}\"}}],\n", - " \"functions\":[func['function'] for func in function_list]})\n" + " \"functions\":function_list})\n" ] }, { @@ -1094,7 +963,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -1103,7 +972,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -1130,14 +999,14 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "file-CGMggG5iZYKTocwgCp7kV7C6\n" + "file-xrLV8EbNZk31QPT1TB5KIx7E\n" ] } ], @@ -1172,7 +1041,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -1180,19 +1049,19 @@ "output_type": "stream", "text": [ "Play pre-recorded audio message\n", - "reject_request \n", + "FunctionCall(arguments='{}', name='reject_request') \n", "\n", "Initiate live-streaming on social media\n", - "reject_request \n", + "FunctionCall(arguments='{}', name='reject_request') \n", "\n", "Scan environment for heat signatures\n", - "reject_request \n", + "FunctionCall(arguments='{}', name='reject_request') \n", "\n", "Enable stealth mode\n", - "reject_request \n", + "FunctionCall(arguments='{}', name='reject_request') \n", "\n", "Change drone's paint job color\n", - "reject_request \n", + "FunctionCall(arguments='{}', name='reject_request') \n", "\n" ] } @@ -1204,7 +1073,7 @@ " messages.append({\"role\": \"user\", \"content\": eval_question})\n", " completion = get_chat_completion(model=\"ft:gpt-3.5-turbo-0613:openai-internal::8DloQKS2\",messages=messages,tools=function_list)\n", " print(eval_question)\n", - " print(completion.tool_calls[0].function.name,'\\n')\n" + " print(completion.function_call,'\\n')\n" ] }, { diff --git a/examples/Using_logprobs.ipynb b/examples/Using_logprobs.ipynb index 0672eeb..a17ae2e 100644 --- a/examples/Using_logprobs.ipynb +++ b/examples/Using_logprobs.ipynb @@ -431,9 +431,16 @@ "source": [ "For the first two questions, our model asserts with (near) 100% confidence that the article has sufficient context to answer the posed questions.

\n", "On the other hand, for the more tricky questions which are less clearly answered in the article, the model is less confident that it has sufficient context. This is a great guardrail to help ensure our retrieved content is sufficient.

\n", - "This self-evaluation can help reduce hallucinations, as you can restrict answers or re-prompt the user when your `sufficient_context_for_answer` log probability is below a certain threshold. Methods like this have been shown to significantly reduce RAG for Q&A hallucinations and errors ([Example]((https://jfan001.medium.com/how-we-cut-the-rate-of-gpt-hallucinations-from-20-to-less-than-2-f3bfcc10e4ec)))" + "This self-evaluation can help reduce hallucinations, as you can restrict answers or re-prompt the user when your `sufficient_context_for_answer` log probability is below a certain threshold. Methods like this have been shown to significantly reduce RAG for Q&A hallucinations and errors ([Example](https://jfan001.medium.com/how-we-cut-the-rate-of-gpt-hallucinations-from-20-to-less-than-2-f3bfcc10e4ec)) " ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, From e92df85ad4da5a9b74e65b6b7390977d297aa7fa Mon Sep 17 00:00:00 2001 From: katia-openai <152395277+katia-openai@users.noreply.github.com> Date: Thu, 29 Feb 2024 13:54:06 +0000 Subject: [PATCH 04/44] Added a new notebook: "Parse PDF docs for RAG applications" (#1080) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: dependabot[bot] Co-authored-by: prestontuggle <97747561+prestontuggle@users.noreply.github.com> Co-authored-by: Shyamal H Anadkat Co-authored-by: Simón Fishman Co-authored-by: Ikko Eltociear Ashimine Co-authored-by: aalmaksour82 <49364099+aalmaksour82@users.noreply.github.com> Co-authored-by: colin-openai <119888926+colin-openai@users.noreply.github.com> Co-authored-by: Michael Wu Co-authored-by: Logan Kilpatrick Co-authored-by: Viet Hoang Tran Duong <36019296+viethoangtranduong@users.noreply.github.com> Co-authored-by: Christine Belzie <105683440+CBID2@users.noreply.github.com> Co-authored-by: Eliah Kagan Co-authored-by: recordcrash Co-authored-by: Stefano Lottini Co-authored-by: Safa Asgar <70315479+SaFaUU@users.noreply.github.com> Co-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com> Co-authored-by: Will DePue Co-authored-by: ys64 <815824+ys64@users.noreply.github.com> Co-authored-by: Shawn Yuxuan Tong Co-authored-by: Steven Pousty Co-authored-by: Puneet Dhiman <142409038+PuneetDhimanShorthillsAI@users.noreply.github.com> Co-authored-by: Krista Pratico Co-authored-by: dongqqcom <32085836+dongqqcom@users.noreply.github.com> Co-authored-by: Alvaro Videla Co-authored-by: DevilsWorkShop Co-authored-by: Ashok Manghat Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Matthew Jericho Go Sy <69558553+jerichosy@users.noreply.github.com> Co-authored-by: Farzad Sunavala <40604067+farzad528@users.noreply.github.com> Co-authored-by: Nirant Co-authored-by: Cathy Chen Co-authored-by: gusmally Co-authored-by: Chuong Ho <31106432+chuongmep@users.noreply.github.com> Co-authored-by: ridrisa <138629783+ridrisa@users.noreply.github.com> Co-authored-by: Xin(Leo) Jing Co-authored-by: Per Harald Borgen Co-authored-by: Hoang Viet Khoa Co-authored-by: Stefano Fiorucci <44616784+anakin87@users.noreply.github.com> Co-authored-by: Albarqawi Co-authored-by: Saarika Bhasi <55930906+saarikabhasi@users.noreply.github.com> Co-authored-by: Daniel <10074684+danieltprice@users.noreply.github.com> Co-authored-by: Dhruv Anand <105786647+dhruv-anand-aintech@users.noreply.github.com> Co-authored-by: Jiří Hofman Co-authored-by: Fayaz Rahman Co-authored-by: Anish Shah <93145909+ash0ts@users.noreply.github.com> Co-authored-by: Krish Dholakia Co-authored-by: Emil Sedgh Co-authored-by: Megan O'Keefe <3137106+askmeegs@users.noreply.github.com> Co-authored-by: Joschka Braun <47435119+joschkabraun@users.noreply.github.com> Co-authored-by: Roger Zurawicki Co-authored-by: pavlovp Co-authored-by: Surav Shrestha <98219089+suravshresth@users.noreply.github.com> Co-authored-by: vrushankportkey <134934501+vrushankportkey@users.noreply.github.com> Co-authored-by: Soonoh Co-authored-by: Mayuresh Dharwadkar <98738585+Mayureshd-18@users.noreply.github.com> Co-authored-by: Yashwant Jodha <76436993+yashwantjodha@users.noreply.github.com> Co-authored-by: Guspan Tanadi <36249910+guspan-tanadi@users.noreply.github.com> Co-authored-by: Ana Martins <60753223+OutSystemsAMM@users.noreply.github.com> Co-authored-by: Greg Richardson Co-authored-by: john Co-authored-by: John Octubre Co-authored-by: jhills20 <70035505+jhills20@users.noreply.github.com> Co-authored-by: Tad Co-authored-by: Ilan Bigio Co-authored-by: Ilan Bigio Co-authored-by: royziv11 <103690170+royziv11@users.noreply.github.com> Co-authored-by: Gabor Cselle Co-authored-by: D. Carpintero <6709785+dcarpintero@users.noreply.github.com> Co-authored-by: Ed Spencer Co-authored-by: Ravi Theja Co-authored-by: dylanra-openai <149511600+dylanra-openai@users.noreply.github.com> Co-authored-by: Taranjeet Singh Co-authored-by: Frode Jensen Co-authored-by: Lionel Cheng <60159831+lionelchg@users.noreply.github.com> Co-authored-by: lionelchg Co-authored-by: Jing Ai <42414856+jingairpi@users.noreply.github.com> Co-authored-by: Jing Ai Co-authored-by: Spring_MT Co-authored-by: kevleininger Co-authored-by: Prakul Co-authored-by: Logan Kilpatrick <23kilpatrick23@gmail.com> Co-authored-by: Jiang Yucheng Co-authored-by: Haomin Liu <644074553@qq.com> Co-authored-by: Xavier Amatriain Co-authored-by: Caio Curitiba Marcellos Co-authored-by: Kesku <62210496+kesku@users.noreply.github.com> Co-authored-by: markbigears <86395716+markbigears@users.noreply.github.com> Co-authored-by: bigears Co-authored-by: Nghiauet <63385521+Nghiauet@users.noreply.github.com> Co-authored-by: Vince Fulco--Bighire.tools Co-authored-by: Wang22004K <152562528+Wang22004K@users.noreply.github.com> Co-authored-by: Shaurya Rohatgi Co-authored-by: Dhruv Singh Co-authored-by: Adam Hendel Co-authored-by: Enoch Cheung Co-authored-by: Zanie Blue Co-authored-by: rissois <44072214+rissois@users.noreply.github.com> Co-authored-by: ayush rajgor Co-authored-by: teomusatoiu <156829031+teomusatoiu@users.noreply.github.com> Co-authored-by: James Briggs <35938317+jamescalam@users.noreply.github.com> Co-authored-by: Shivam Rastogi Co-authored-by: Alex Yang Co-authored-by: Elmira Ghorbani Co-authored-by: gloryjain Co-authored-by: Andrew Peng --- authors.yaml | 5 + examples/Parse_PDF_docs_for_RAG.ipynb | 2226 +++++++++++++++++ examples/data/example_pdfs/evals-decks.pdf | Bin 0 -> 575891 bytes .../data/example_pdfs/fine-tuning-deck.pdf | Bin 0 -> 370178 bytes examples/data/example_pdfs/models-page.pdf | Bin 0 -> 573998 bytes examples/data/example_pdfs/rag-deck.pdf | Bin 0 -> 571600 bytes examples/data/parsed_pdf_docs.json | 1 + registry.yaml | 11 +- 8 files changed, 2242 insertions(+), 1 deletion(-) create mode 100644 examples/Parse_PDF_docs_for_RAG.ipynb create mode 100644 examples/data/example_pdfs/evals-decks.pdf create mode 100644 examples/data/example_pdfs/fine-tuning-deck.pdf create mode 100644 examples/data/example_pdfs/models-page.pdf create mode 100644 examples/data/example_pdfs/rag-deck.pdf create mode 100644 examples/data/parsed_pdf_docs.json diff --git a/authors.yaml b/authors.yaml index 7ea77e6..bdcc6e3 100644 --- a/authors.yaml +++ b/authors.yaml @@ -72,3 +72,8 @@ teomusatoiu: name: "Teodora Musatoiu" website: "https://www.linkedin.com/in/teodora-musatoiu/" avatar: "https://avatars.githubusercontent.com/u/156829031?s=400&u=af40fe04d9255139eb3bbf8dc83422cc694e862b&v=4" + +katiagg: + name: "Katia Gil Guzman" + website: "https://katia.gg" + avatar: "https://avatars.githubusercontent.com/u/16519462?v=4" \ No newline at end of file diff --git a/examples/Parse_PDF_docs_for_RAG.ipynb b/examples/Parse_PDF_docs_for_RAG.ipynb new file mode 100644 index 0000000..ec4d558 --- /dev/null +++ b/examples/Parse_PDF_docs_for_RAG.ipynb @@ -0,0 +1,2226 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f6ce3d79", + "metadata": {}, + "source": [ + "# Parsing PDF documents for RAG applications\n", + "\n", + "This notebook shows how to leverage GPT-4V to turn rich PDF documents such as slide decks or exports from web pages into usable content for your RAG application.\n", + "\n", + "This technique can be used if you have a lot of unstructured data containing valuable information that you want to be able to retrieve as part of your RAG pipeline.\n", + "\n", + "For example, you could build a Knowledge Assistant that could answer user queries about your company or product based on information contained in PDF documents. \n", + "\n", + "The example documents used in this notebook are located at [data/example_pdfs](data/example_pdfs). They are related to OpenAI's APIs and various techniques that can be used as part of LLM projects." + ] + }, + { + "cell_type": "markdown", + "id": "6163ace6", + "metadata": {}, + "source": [ + "## Data preparation\n", + "\n", + "In this section, we will process our input data to prepare it for retrieval.\n", + "\n", + "We will do this in 2 ways:\n", + "\n", + "1. Extracting text with pdfminer\n", + "2. Converting the PDF pages to images to analyze them with GPT-4V\n", + "\n", + "You can skip the 1st method if you want to only use the content inferred from the image analysis." + ] + }, + { + "cell_type": "markdown", + "id": "70a87e9f", + "metadata": {}, + "source": [ + "### Setup\n", + "\n", + "We need to install a few libraries to convert the PDF to images and extract the text (optional).\n", + "\n", + "**Note: You need to install `poppler` on your machine for the `pdf2image` library to work. You can follow the instructions to install it [here](https://pypi.org/project/pdf2image/).**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "29a05ae1", + "metadata": {}, + "outputs": [], + "source": [ + "%pip install pdf2image\n", + "%pip install pdfminer\n", + "%pip install openai\n", + "%pip install scikit-learn\n", + "%pip install rich\n", + "%pip install tqdm\n", + "%pip install concurrent" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "14c84b52", + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "from pdf2image import convert_from_path\n", + "from pdf2image.exceptions import (\n", + " PDFInfoNotInstalledError,\n", + " PDFPageCountError,\n", + " PDFSyntaxError\n", + ")\n", + "from pdfminer.high_level import extract_text\n", + "import base64\n", + "from io import BytesIO\n", + "import os\n", + "import concurrent\n", + "from tqdm import tqdm\n", + "from openai import OpenAI\n", + "import re\n", + "import pandas as pd \n", + "from sklearn.metrics.pairwise import cosine_similarity\n", + "import json\n", + "import numpy as np\n", + "from rich import print\n", + "from ast import literal_eval" + ] + }, + { + "cell_type": "markdown", + "id": "5cb75cb1", + "metadata": {}, + "source": [ + "### File processing" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "572ba89b", + "metadata": {}, + "outputs": [], + "source": [ + "def convert_doc_to_images(path):\n", + " images = convert_from_path(path)\n", + " return images\n", + "\n", + "def extract_text_from_doc(path):\n", + " text = extract_text(path)\n", + " page_text = []\n", + " return text" + ] + }, + { + "cell_type": "markdown", + "id": "ef1bca4c", + "metadata": {}, + "source": [ + "#### Testing with an example" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cbbe40fb", + "metadata": {}, + "outputs": [], + "source": [ + "file_path = \"data/example_pdfs/fine-tuning-deck.pdf\"\n", + "\n", + "images = convert_doc_to_images(file_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3a0c8653", + "metadata": {}, + "outputs": [], + "source": [ + "text = extract_text_from_doc(file_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "eab8b17b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/jpeg": 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8y3G/bZNW51K+Mkvn85uGVuzFAn6OPM+vLpXO9nLmecgFHDS1RP4Y9ttLzvP8kogAAggggAACCCCAAAIIIIBAqQioOxfPyJfadOdYxQsvvNBdwnnnnZdpcw3/6M5/8803Z8qflq4hQN2bK+WLX/xiWk7PxUwBndQyP/30U3drd8/SEomKeqh3l9QSkvOefdZ7FqUXBRKDvia3Tc6oKxv3OwSehSQTf/zjH8disWQJqTOPPvpoMlummZJVylTh/NILGChUm/TPP/881Tl1Xs9R9t57705Vcq+99sr09EUlq4MjvdPQqQILkrk0A+6p1Jrn81uQc517IQX8HGX6y1NqAXcuudwvD3IigAACCCCAAAIIIIAAAggg0O8E1Gt5W1tbWvhAi+FwWF1L58Khzjrcm0+bNi3Ttueff747/8cff5wpf1p6ojeVtBJU2xyHGM0U0EkWqM4xhg8fnrbTDhcVEE+WkDqjxsjqhaPDzZVBAy2mbpicV7R90003zaWEtDzq2yRTzP2ggw5Ky5y2WLJKafXs4mIBA4V6wSJ5ytJmli5dmuXjkOUQtJW2TSstuahW8Fm2LdKq0g+48/kt0qnPUmwBP0eZ/vKUcsCdSy7LtcEqBBBAAAEEEEAAAQQQQAABBPqpwLPPPpuM4qXO5DKWqUYQVXftqVtpfsGCBVko1Wt2Wv7E4oQJE7JslVilqLo6V3Fvrk63O9w2kSFTQCdRpnpc0diVORaVlu3hhx92V0wpuTRtrqqq8mwfrS5cdt1117Qd5b54ySWXeFbppZdeyl5IaSplr3MeawsVKNQrDp5PrYSvT4eGKMijbolN1Kt7ppI12qr6oM+75Pw2LPGAO5/f/E5rF7cq1OdI1cj0l6dkA+5ccl28eNgcAQQQQAABBBBAAAEEEECgqAK+opZO4VkE/vOf/3iuzSXGoTxqI5+2uecAlck8ag+o4HJyMTmTS3xfu/McEVRjsSbL6cqMBkHV4Kv5lZCpVxyNrdphgd/61rdGjhzpznbppZc+//zz7vQcUzSG5+OPP+7OvOOOO3Yljt9TSu4DKZEU9aqkwQk8K6OBc3PvVshdgt7n0FMTd7pSNMCAhhnwXNVvE3vqyuxdn99+e3kU48C55IqhSpkIIIAAAggggAACCCCAAAKFEiDgXijJTpfz9NNPe26TS8B9v/32c2/rGeRNzfbkk0+mLibmcwm477nnnu4NleJZoGfOLIkfffTRbbfdliVD9lV6bqHW9+48o0aNciempqj39jPPPDM1JTGvfrqvv/56d3qnUr7zne+oWxv3JmeccYY7MZeUnlLKpW49kkdvJ3zta1/z3LU+WV25ohJl/vKXv3zxxRc9yz/hhBPcj7s8c/aHxJ66MnvX57c/XAnddoxcct1GzY4QQAABBBBAAAEEEEAAAQTyEyDgnp9bAbZSByPqnsJd0E477RQIBNzpqSnugLv6De8w/O0Zkd9nn30Uukot3D2/xx57uBP1Un+HfaS4t3KnKLKpyrvTc0xRNdTjtjtzfX29OzE1RU8aJk2alJqSmL/66qvVpYw7vVMps2bN+utf/+reRF03qIm0O73DlJ5S6rBiPZXh8MMPz3SKv/e973W9Vrom1YLesxyN1Krz6LmqHyb21JXZuz6//fDCKN4hc8kVz5aSEUAAAQQQQAABBBBAAAEECiJAwL0gjPkUEgqFPPst0aCp2bufHjJkiDvDa6+9tmrVquz1UERe3Vun5Rk6dOiWW26Zlpi6qPqoS+vUlMS8+qDXoKnu9E6lqIQ77rijU5u4M69YscKdqKioOzE15cgjj0xdTMyrWfq9997rTs8j5W9/+5t7Kw3l6n5Y4s6WltKDSmk1KZ3FQw891LMyTz31lDqE8VzV2UQNUfDGG294bnXYYYd5pve3xB68MnvR57e/XRVFPV4uuaLyUjgCCCCAAAIIIIAAAggggEBBBAi4F4Qxz0IydeO+++67Zylx3333dbdJ92y9nlaIWoK/8847aYlazN6rzC677BIMBt1bFaQD91dffbWpqcldeKdSPLuUUWg7eyGeMdNnnnlm+fLl2TfMca1O7sqVK92Z9UqBOzF7Sg8qZa9YD6494IADPPfe9c5kUou98cYbUxeT89q7+zOYXNt/ZnrwyuxFn9/+cz10w5FyyXUDMrtAAAEEEEAAAQQQQAABBBDoogAB9y4Cdmnz/Lpx92winX3E1GQtPaPk2QPunv3JqMAOe7BJ7jTLjJrJZ1nblVU+X7Zre9y4cWPGjHGX/8orr7gT80vRYwDFhtzbZuoQ350zmdJTSskKlNqM+gLSex7uWukFhYcfftidnnfKP/7xD8/+jgYNGrTZZpvlXWyf2bCnrsze9fntM6e7FA6ES64UzgJ1QAABBBBAAAEEEEAAAQQQyC7QQV/h2TdmbRcF1A9MQ0ODuy32rrvumqVkd8B93bp1OXanrobw7p6p1aC+rKxMXdx47tQzQLx48WJ1U+6Zv1OJc+fO7VT+QmXefvvtPYuaM2eOZ3p+iRrc78ADD0zbdsaMGeqj37NVflrO5GJPKSUrUGoz22yzjWeV1JnMmjVrPFfll7h27dr3339fp8y9uepQ2KvFvYvST+mpK7PUPr96+qJnAIU6X88991zXh5EoVGVKrRwuuVI7I9QHAQQQQAABBBBAAAEEEEDALUDA3W3SfSmKuv7vf/87+OCD03Y5bNiwKVOmeIbzPCM76r0kxwCudqdQTtq4nVVVVeo3Rr2ppFVDi+Xl5TvssIM7vSDN21WsZ6cr7t0VPGXq1KmeZc6cOfPUU0/1XJVH4ogRI9xb6dmGTuLs2bPdqzKl9JRSpvr0eLoAPevw5ptveqZ3JVE9uXsG3DNdQl3ZV6/btqeuzEz4PfX5PfPMM7/97W8X6vRNnDixp8LKhTqE4pXDJVc8W0pGAAEEEEAAAQQQQAABBBAolAAB90JJ5lmOYuXugLvK2m233TwD7u7m7cqcY38yyqlou2Lu7kLUq4xnwH2nnXZSzN19bJ5d07izdZjS4UCvHZaQX4ZMzVHdzf/zKz/7VptsskmnAu49pZT9KHpwrWd3QKqPWqMXvFaZxk0dO3ZswffV6wrsqSuzd31+e91pLeUKc8mV8tmhbggggAACCCCAAAIIIIAAAgmBbP1cY9QNApm6cc80bqo7Vq5K5jJiavJYPGPlGog1mSF1pqgduGtH4XA4dXfdNj9y5Mhu25d7R6NGjXInZknpKaUsVerZVZlO36JFiwpesUwtakePHl3wffW6Anvqysx0AXQPYGc/v91Tq36yFy65fnKiOUwEEEAAAQQQQAABBBBAoFcLEHDv4dP31ltvrV692l0JtXB3J6rv77333jst/ZP4lJaYZdEzOq8+kQcMGODeyrMDd7XOVh/u7sy9KEW96PRgbT27munB+vS6XVdXV3vWecWKFZ7pXUn0/HiqwJqamq4Uy7ZdEeDz2xU9ts1DgEsuDzQ2QQABBBBAAAEEEEAAAQT6rQAB9x4+9bFY7Nlnn3VXYvLkye5WnOpOva6uLi2zZwA9LU/q4jvvvLN06dLUFM37/f699torLTEYDKpLmbRELXq2kXdnK+WUysrKHqwesdou4mc6fcUYajJTFxaZ6tDFQ2PzXAR6Fp/Pby7nqI/l4ZLrYyeUw0EAAQQQQAABBBBAAAEEiipAwL2ovDkVrm7cPfO5G7l3vT8Z7ci2bc8hT9WNe1o1tttuO8+mxJ6bp21b4ouhUKgHa5g2aG0P1qSX7tqyLM+a+3yF/4OW6VLJVAfPipFYWIFMJ6Wwe8lUGp/fTDJ9OJ1Lrg+fXA4NAQQQQAABBBBAAAEEECi4AIOmFpy00wVm6sZdAfd77rkntTh3wD0SiWTaPHXDtHk1UT/++OPTEt0Bd88O3NWFrufwqmmllfhiQ0NDD9bQcxzaHqxPr9t1S0uLZ50HDhzomd6VxEwtWzPVoSv7YtscBUrt86vXIObNm5dj5TvMpr/qHeYhQzcLlNol182Hz+4QQAABBBBAAAEEEEAAAQQ6JUDAvVNcRck8a9asZcuWDRs2LK30tHFT1ZnMjjvumJbnpZdeWrduXVpih4uevdBMnTpV40CmDjvp2YH7yy+/3NjY2OEuSjxDJrTzzz//448/Lnbl58+fX+xd9O3ym5ubPQ+wGAH3QYMGee6rqanJM53EbhAotc/vZfGpGw6cXfSUQKldcj3lwH4RQAABBBBAAAEEEEAAAQRyESDgnotScfOojxe1GT/mmGPSdrPFFlvU1tYmG9ZpuFQNmpqW57HHHktLyWVRQ54qyj9jxoy0zGrk/uc//zmRqF7dd91117QMWuwDHbjrKBYsWOA+NKVoDNs+0H7f89D6UqJ7EILE0WUKjnfl2EeNGuW5+ZIlSzzTSewGAT6/3YBcqF24/9kqVMndWQ6XXHdqsy8EEEAAAQQQQAABBBBAoLcLFL7L494u0iP19+zGXSHvnXfeOVkfd38yWuXZVj25SZYZzw1Te5XZaqut3AO0qsA+0IG7juLDDz/0xBk8eLBnOoklJZAp+DVz5syC13PatGmeZfKagidL9yTy+e0e54LsZciQIQUpp2cL4ZLrWX/2jgACCCCAAAIIIIAAAgj0LgEC7iVxvjL1w57aq4w74K6Og1977bX8DsCzofq+++6bLM2zA3e9Vv/KK68k8/TemTlz5nhWvm/EhjwPrS8lZur2Z5dddin4YW699daeZWaqg2dmEgsrwOe3sJ5FLa1vPMXkkivqRULhCCCAAAIIIIAAAggggEAfEyDgXhInVK3nUjtPT9ZJ46Ym5seNG7fZZpsl0xMzamwei8XSEnNcfPbZZ9va2tIyjxw5MtnPjGcH7upupW8M6Pfmm2+6D18axWginYbMYtcF3njjDc9Cpk+fXl9f77kqv8SKigrPjpVU2uuvv55fmWzVdQE+v1037J4Shg8frg9R9+yrqHvhkisqL4UjgAACCCCAAAIIIIAAAn1MgIB7qZxQz15lNEpqMBhUFd3N25Xo2S1MjsejYSdfeOEFd+ZErzKWZSVj/al5PNvFp2boLfMtLS2eTfXVUX5vOYT+XE89oFq7dq1bQNftQQcd5E7PO0Wfu8rKSvfmGjF19uzZ7nRSukeAz29hnTWOSGELTJbm+eA2ubYXzXDJ9aKTRVURQAABBBBAAAEEEEAAgR4XSB+Es8cr1G8roID71772tbTDV7Bv2223femllwoecNeOFK93x5cVcP/1r3+tht6e/QD0jQ7cE8gCT+2xJ5GoBv4jRowo1HiYZ5xxhrtDkrlz5/785z9PO9EsdkpA8UE9+znqqKPcW5199tl33nmnOz2/lFNOOcVzQ30Q+sarHp5H1ysS+fwW8DQ1NjZ6ltb18U77TMBdPlxynhcJiQgggAACCCCAAAIIIIAAAm4BAu5uk55JydSNu1qav/zyy6m9qyfq9/7772caOjLHA1DI8qqrrkrLrPiIgiyeHbgvXLjwgw8+SMvfexfvu+++Sy65xF3/b33rWz/5yU/c6Z1NUWvrSy+9VOH7tA1/85vfpKWwmIfAgw8+6BlwVzfu22yzTaY+Zzq1oylTphx++OGem2jvnukkdpsAn98CUq9Zs8azNM/Hrp45PROrqqqOOeYYz1W9MZFLrjeeNeqMAAIIIIAAAggggAACCPSIAF3K9Ai7x07V8FmTe4VaYauVtHswz8cee8yduVMpCkquWLEibZPa2lr1Y+PZLLEvNW/XUb/zzjuzZs1KO3wtnnPOOUJwp3c2RYzuaLsK6fqJ62xN+mT+f/zjH5ma5f7sZz8ryCHrRQSfz+MvpLpjuvfeewuyCwrJW4DPb9507g1Xr17tTlTKJpts4pmeY6JeEHH/y5XjtiWYjUuuBE8KVUIAAQQQQAABBBBAAAEESlPAI5xUmhXtD7XybOSuMRv3339/9+F3pQP3RGnql+Opp55yl6xeZdx9rShbHwu464huv/129+EPHDiwIC3cv/vd77oLD4fDGnjWnU5KZwUaGhruuOMOz60OOOAAvabguSr3RDWfP+KIIzzzq8sazx7kPTOTWDwBPr+Fsl2+fLlnUZ5dmXnmdCdq+OLvf//77vRencIl16tPH5VHAAEEEEAAAQQQQAABBLpNgIB7t1F3vCN1EevOpJf6zz///LT0tra2Z599Ni0xj0XPqP1ZZ53l2TS77wXcf/e7361bt87tdsEFFxx55JHu9NxTdt55Z89w7f3335+pXXbuhffVnJ7NybMc7DXXXJOpI3Wtmjp1apZts69SZzK33nqrZx7t8eqrr/ZcRWI3C/D59QTv7OdIhejx1UcffeQuba+99tJnwZ2eS8ott9wyZsyYXHL2ojxccr3oZFFVBBBAAAEEEEAAAQQQQKAHBQi49yB++q49W7gr07Bhw9KyPvfcc+rXIi0xj0V14+7eaujQoe7Ed999d+nSpe70Xp2inotvvPFGz0P405/+tNNOO3mu6jBRTTv/+te/eoa9fvnLX3a4eZ/PEI1GPY/R88LzzJlIVIjwj3/8o2cGdR6trnvGjRvnuTZ74oQJE/S5qKur88ymPXqGJj0zk1hUgX7++S3U5yhxjjQ0t/tk+f3+/EZ4Vtt2zyEW3LvoXSn9/JLrXSeL2iKAAAIIIIAAAggggAACPShAwL0H8dN3/fnnn3/44YfpqV7Lni3TvTJ2kKZhV3McB9UzNN9B6b1h9XXXXefuyF4VV7xVLxwcd9xxnT0IvZGgjnomTZrk3lAFvv766+70/paSqY2/xgfuLMWPfvSjZcuWeW6laPuLL764/fbbe67NlLjDDjtoq7Fjx3pm0L4uuugiz1Uk9ohAf/78FvBzpHP3wgsveJ5Bvanzve99z3OVZ6IGi9b7JfmF6T0LLLXE/nzJldq5oD4IIIAAAggggAACCCCAQMkKEHAvrVOTqZF7Wi0LOPBmjpH0vtefTIJ01apVZ5xxRhpvYrGiouJv8WmzzTbzzOBOPOiggxRS32abbdyr1BXJD37wA3d6P0xRK1HPoz777LM7+1aBHpZkOn3axahRo55//vmf/vSn1dXVnntMTVSeyy67TPk9+1NK5PzmN7+5cuXK1K2Y71mB/vz5LeDnSCdR4wC3trZ6nk31oXTVVVd5vrKTln+77bbTvxTqkis1vY99ZPrzJZd6WplHAAEEEEAAAQQQQAABBBBAoNcIHHPMMRrLNPu0ZMkStSIs1CEdeuih2XenteoyPpeQZZYqqZmk517yaNTs3strr73mLrxTY5OqAxl3CckUxco1Tuaxxx7r7tsnUZkhQ4accMIJ6lU/uYl75uKLL3bXPC2lxJXSapv34ujRo90+yZT58+e//fbbamauFwUefPBBxQE1aejgLLtTNDC5ueeMekO64oorZs6c6VmI0rVWeTy3TSb2YKPdrbbaKlmN1JmTTjrJ84gyJarpcermyflAIJBpk0R6iV+ZJfL5zW5Y8LUF/xypu6TkJeGemTVr1vHHH19bW+s+EP1h1CoNUBGLxdI21Mf5nHPOSUvUYod/n7nkcvknw30uSEEAAQQQQAABBBBAAAEEECgFgQ7iLKVQxX5VB/U6omBE9ni62qQrT6FYFPgIh8PBYDBLgYp+NjU1ZcnQ21ep5fL48eM1QqDngagj46/GJ7F/8sknisyqYbWal6qjcHXXvummm6rXb88Nk4lqN/2zn/0sudjPZxYtWqSHRpkakqs7F3ePLoq5Z0FTNy86BTpFmfIoIKjOZzTpxCluuHjx4paWlsrKypEjR06fPj2XvuPvu+8+OpPJxNvj6f3z81vwz9H111+vB4f6c+d5QvVJ0dAUevr41ltvqfez1atXq98tPWscPny4/gZ6/pulP5inn356pk+65156S2L/vOR6y9mhnggggAACCCCAAAIIIIBAjwsQcO/xU7BRBZYvX66AYKamuImsBexPRgWqI2DF0/fYY4+N6rHxQo7dzmy8UW9aUl8Khx12mDpD2HHHHbPUW0GlTeJTljzuVS+//LIKzzTCoTt/f0hRAF0dyBTqSBXX+9rXvhYKhRQuzF6m4oN77rln9jzutffcc49681frXfcqUkpBoN9+fgv7OXrnnXcuv/zySy+9NMs51csQ6jcmS4bUVXrE9eijj3b2PYzUEkp2vt9eciV7RqgYAggggAACCCCAAAIIIFBSAvThXlKnw6lM9m7cFVssePi7wwL7agfuqedeDx6+8IUv3H333amJXZ/XCwQqVq1Bu15UXyrht7/9reLjBTwiPc9QXE/dtRc8LP6LX/xCvQmpYW8Ba0tRBRfon5/fgn+O1LfSf//734KcnZtuukl9PRWkqNIspH9ecqV5LqgVAggggAACCCCAAAIIIFBqAgTcS+2MGPUqk6VO6t5aXZpkyZDHqscffzzLVuo7RZ2kZ8nQZ1YpgKJuSb797W9nGjywU0eqjnrUjcyBBx6oYju1YX/I/MEHHxR8CFk9i1LjXIHPnTu3IIbqN0MdSX//+9/n7YSCeBa7kH74+S3450iX+pFHHqmXcrpysvRJ/PGPf3zWWWd1pZBesW0/vOR6xXmhkggggAACCCCAAAIIIIBAjwsQcO/xU5BeAbWJztJKN3twPL2s3JYVT1+1alWmvHoA0K8CjjfccMOUKVP+8pe/ZDkLmayS6S+99NK2226rHhU03mwykZlUgV/96lff+MY3li1blprY9Xm9rjFjxozLLrts7dq1eZemEQs0vui0adP+9a9/5V0IG/aIQH/7/Bb8c6R/CzSaxY033pjfH8A5c+Zo8yuvvLJHzn6P7LS/XXI9gsxOEUAAAQQQQAABBBBAAIHeJUDAveTOl1qUa1S6TNUqRsBdgZUs/dj0h/5k0rTnz59/4oknbrHFFtddd51GJkxbm2VRTeNvv/32XXbZZeedd3733Xez5GSVBP74xz9qrNovfelL6hnjf//7n9gV6c4vzJfq2dzc/JOf/GTcuHEXXHBBlo9S6ibJ+dmzZ+sxiWr13e9+d926dcl0ZnqRQH/7/Bb8c6S/Y+eee+7WW29911135d71k0YfOfXUU/Vns1Cd0nDJ9SIBqooAAggggAACCCCAAAIIIJAqYKUuMI8AAmkCPp9PAfSddtpJ4aetttpq1KhRdXV1Skxka2hoUIPQjz76SAPPanrhhRe60rA6bdcsFkRAw9zuvffeOonTp0+fNGmSxk1NLVan79NPP1XXHDp3ernk/fffT13LfG8X4PPbxTM4aNCggw46SKNq6w+gPj6DBw9OFqg3n+bNm6c4u/70PfzwwxpzNbmqP89wyfXns8+xI4AAAggggAACCCCAAAIJAQLuXAkIdE7AsqyampqysjK9i9CvOtvpHFOp5lY4rLq6uqKiQr39qEE9Z7BUT1Sx6sXntyuywWBQHx/91nsk+vh0paj+sy2XXP851xwpAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAA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HP/rRPLY/v7Vw7w9XS5WABCQgAQlIYPwQwCesavv4uVzWVAISkIAEBkqAlfhYlw/0lIWTHXDAAYU4IyQgAQlIQAJtEGCZ1MCM3LVwb+PCmFQCEpCABCQggdEjwEr522+/3VXqo3dlbZEEJCABCfSQwJJLLnnjjTf2sMDmRc0555yPPfZY8/SmlIAEJCABCZQSeOaZZ2afffZXX3219GgPI7Vw7yFMi5KABCQgAQlIYPwRYP8c1fbxd9mssQQkIAEJDJbAeeedh1+XwZ7z/55N8/Yxwe5JJSABCYweAfYmWX311QfQLi3cBwDZU0hAAhKQgAQkMKQE5p9/fnz5DWnlrJYEJCABCUhgmAicddZZa6655oBrhNu35557bsAn9XQSkIAEJDCqBAbjyV0L91HtP7ZLAhKQgAQkIIEWBHAmc8YZZ7RI5GEJSEACEpCABF4jMHnyZCaqBwxjjTXWGPAZPZ0EJCABCYwwARY3M5Xb7wYquPebsOVLQAISkIAEJDCkBFhOqDOZIb02VksCEpCABIaSABPVTFcPsmobbbTRIE/nuSQgAQlIYOQJfPazn+13G3Up02/Cli8BCUhAAhKQwDASwBHtyy+/PIw1s04SkIAEJCCBISaw1lprnXnmmYOpoP5kBsPZs0hAAhKYUASuueaafmvuWrhPqB5lYyUgAQlIQAIS+L8EVlppJVlIQAISkIAEJNAuATYbbzdLx+kXXnjhjvOaUQISkIAEJFBKYNlll+33NuAK7qXkjZSABCQgAQlIYJQJsBx+kHrBKKO0bRKQgAQkMMEIzDLLLEssscRgGr3ccssN5kSeRQISkIAEJhSBpZZaqq/tVXDvK14Ll4AEJCABCUhgGAngvR29YBhrZp0kIAEJSEACQ0/g2GOPHUwdB7Cv3WAa4lkkIAEJSGCoCLz97W/va30U3PuK18IlIAEJSEACEhhGAjvuuOMwVss6SUACEpCABMYDAbYcn3POOQdQ08mTJw/gLJ5CAhKQgAQmGoEZZpihr01WcO8rXguXgAQkIAEJSGDoCGAuh1IwdNWyQhKQgAQkIIHxQ2DdddcdP5W1phKQgAQkIIH/RWDSpEn/63evfyi495qo5UlAAhKQgAQkMNwENttss+GuoLWTgAQkIAEJDDuBAbxM9Scz7J3A+klAAhKQQAUBBfcKMEZLQAISkIAEJDCiBAagEYwoOZslAQlIQAIS+L8E2Apl/vnn7yuOaaedtq/lW7gEJCABCUxYAssss0xf267g3le8Fi4BCUhAAhKQwHARwFzO7VKH65JYGwlIQAISGJ8EllpqqfFZcWstAQlIQAITnUC/h4QK7hO9h9l+CUhAAhKQwIQisPDCC0+o9tpYCUhAAhKQQJ8IrLTSSn0q2WIlIAEJSEAC45qAgvu4vnxWXgISkIAEJCCB9ggst9xy7WUwtQQkIAEJSEACZQSWXXbZqaeeuuyIcRKQgAQkIIEJTUDBfUJffhsvAQlIQAISmGgEll566YnWZNsrAQlIQAIS6BOB2WabrU8lW6wEJCABCUhg/BJQcB+/186aS0ACEpCABCTQNoEFFlig7TxmkIAEJCABCUigjMC8885bFm2cBCQgAQlIYEITUHCf0JffxktAAhKQgAQmFAF2TJ1Q7bWxEpCABCQggb4SeP/739/X8i1cAhKQgAQkMB4JKLiPx6tmnSUgAQlIQAIS6IRAvzej76RO5pGABCQgAQmMWwKTJk0at3W34hKQgAQkIIF+EVBw7xdZy5WABCQgAQlIYNgIzD///MNWJesjAQlIQAISkIAEJCABCUhAAqNEQMF9lK6mbZGABCQgAQlIQAISkIAEJCABCQyIwHzzzTegM3kaCUhAAhKQwPghoOA+fq6VNZWABCQgAQlIQAISkIAEJCABCQwNAbciH5pLYUUkIAEJSGCICCi4D9HFsCoSkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwfglMPX6rPn5r/sY3vnHTTTftbf1fffXVf/7zn//4xz/+/Oc/P//8888888wTTzzxn//8p7dnsTQJSEACkcB66603/fTTx58h8PDDD1955ZVZpD8lIAEJSEACEpCABCQgAQlIQAISkMAEIaDgPgYX+i1vecv+++/f7xOjvz/yyCO//OUvb7jhhquuuuqFF17o9xktXwISmFAEtt9++znmmCNr8kUXXaTgnjHxpwQkIAEJSEACEpCABCQgAQlIQAITh4AuZUb2WmNHP++882KC+v3vf//RRx8966yzFl988ZFtrQ2TgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJDDWBBTcx/oKDOT8b3jDG774xS9i537eeefNMsssAzmnJ5GABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkMLEI6FJmYl3v5ZZb7pZbbvnyl7986623TqyW97O1yyyzzFZbbVU8w9Zbb/34448X442RwFgRsK+OFXnPKwEJSEACEpCABCQgAQlIQAISkMAEIaDgPkEu9P9r5gwzzHDJJZcsv/zyd9111/+LNdQFgXe/+93LLrtssYDpppuuGGmMBMaQgH11DOF7aglIQAISkIAEJCABCUhAAhKQgAQmAgFdykyEq5y38a1vfevZZ5+N8p4f8LcEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQl0SkAL907J9SffHXfc8eSTT7Zb9tRTT/2mN73p7W9/+0wzzTTbbLO9/vWvb1nCe97zniOOOGLddddtmdIEEpCABCQgAQm0ReDf//433tvSLJMmTdp+++3TGMMThMCpp5560UUXxcauuOKKG2ywQfxpQAISkIAEhp/AmWeeee6553ZQz3nmmeeAAw7oIOOAs/z973+fPHlyetIzzjhj2mmnTWNahg877LAbbrghJkNqWGWVVcLPH//4x8cff3w8tNBCC+2+++7xZ2eBntS5s1N3n4tvwkceeSSWs/POOy+yyCLx5wgH+AR64YUXYgMPPvjgD33oQ+FnTf+J6Q1IYHwRUHAfrut1wgknTJkypZs6Ib7PN998SyyxxMorr7z44ovXFMX7b6mllvrZz35Wk8ZDEpCABCQgAQm0S+C///3v3XffneaaddZZ05+Ef//73z/66KMx8p3vfCfD8vhzfAV++ctf/vOf/4x1XnDBBVlLF39O8MBvf/vbtDN87GMfm+BAbP4wE/BeHuarY93GkACv7PRJ3rwmjM2bJ65P2dfbE0OBrIHE1NeneJTdy9JCnnnmmZjmD3/4Q3po+umnj4c6DvSkzh2fvcuMDz300H333RcLefHFF2N4tAO0ms4Q2/jKK6/EcE3/iWkMSGB8EejZC2B8NXuEa/vqq6/yMuPv2GOPZeoYM/aaoR0TywruI9wZbJoE+kqA58yzzz6bnSI11sgO+VMCEkgJXHXVVXvvvXeMYU/jk046Kf4cX4FNN900HSti0L3AAguMryZYWwlIAALey3YDCQwtAW/Pob00VkwCEpBAKQEF91IsIxKJg5rPfOYzLH/j39ImLbroopihuXtqKRwjJSCBegJrrrlmfQKPSkACEpCABCQgAQlIQAISkIAEJCCBiUZAwX3Er/i//vWvtddeGzP26Bsra/Bqq62m4J4x8acEJCABCUhAAhKQgAQkIAEJSKCUwFRTTVUan0U22VwtyzKSPz/+8Y/vtttusWlsOxfDBiQQCCBMpb4ZPvGJT0hGAuOdgIL7eL+Crev/8ssv77vvvqeffnpp0qWXXro03kgJSEACEpCABCQgAQlIQAISkIAEMgKXX375hz/84SzSn1UE5n7tr+qo8RKAAMIUf6KQwCgRUHAfpatZ2Ra8qT755JNzzDFHMcVHPvIRJt472BSlWJQxEpCABCQgAQn0lQDv6z/96U9MpbPJajd7jj3//PMvvfTSe97znje96U3FCv/tb3974YUX+Jej00033dve9rZimu5jaMUf//hHTkFb3vCGN3RfYFrCX//6V0Cxe+0MM8ww7bTTpofaCv/9739n27c3vvGNVLKUVVulFRNDgAvx9tf+ikf7FMMOt3QACn/Xu97VbqP+8Y9/sN3Zf/7zH/K+5S1v6ayGZP/d737Hv7PPPvvrXve6mkK4js899xxXkOvYlqEolx629DHOErJ31sdaVvUvf/nLn//8Z5BCg8s4zTTT1DSn6hA7MLEnCgazM844Y+kWizSHSwYNOLR145OR6nE7cyOTt6FNblU9q+J7ci/TtdiXkosFhOKJuBNpBQTe/OY3w7mbm7pYuDESGBMCvNDDY4qHG/f1O97xjp5Xo1dPQp5RPIopbaaZZursWdpW03gt8uDimcATlQdXu++pcC4eyzxSeH13XEKxzr3iWSw5jQlnYTdRaLf1nsW3AV8+ZKRHgY7XdP0bNj1pl8/YnrwF0vq0FeZFzJcJrzk+1Zq/5uA8gPdjWw0x8egRUHAfvWta3qJrr732a1/7WvEYn/Us6XriiSeKh4yRgAQkIAEJSKC3BJgCZ7tUyszevPfee+/mm28ezrXqqqsuu+yy6XkZdp599tk/+tGPbrvttjhHzuCcrVbXWWedj370o2niEL7ggguuueaaGL/JJpuQjHJOOeWUM844A7mTQ9tss80WW2wR0/zyl7+88MILb7rppqeeeipGEkBwZxPU5Zdfnooxdg2HGNd985vfDGFGd2n6gw8+OGj0SGPf+c530kOE77//flbdXXfddXHXZQaE1G2FFVbACR5ZsvRt/WQz5zPPPPOGG25gmB0zzjLLLEsuueTkyZPTpcrxKEy23nrr+JOPol122YVh2DnnnENR9913XzjE9xKVhPaXvvSlmLjjAIPDE0444Yc//CFDxFDIzDPP/NnPfnazzTabddZZQwyX4wc/+EF6ChYsMphMY0L4uOOOo//E+KWWWmqNNdYo7QD4GGRvXi4xOnJIT6NWXHFFyMcrG8tJA6i9p5566k9+8pOHHnooxs8555x01K9//etUPkbGwEEHHYS1R/x52GGHIRxQzlFHHXXJJZegp3AIyAsvvHAxJfIKvZSjDzzwQCiB6k2aNIl2LbfccrHMYgCw559/PncK3SztlqgP733ve+kGX/3qV7GzzDIWK1BV1ZCRe/CKK6647LLL7rzzzngFwyE62yKLLLLSSitxb2ZnOfnkk7l/YyTeFd797nfj1/F73/veT3/6U24oDqEUfPKTn2RrRLZZCil/+9vfHnvssRCLzWGWgku24YYbojvH0oqBq6++mj7AvRAzQnWJJZbgLuZeS9MP7F4uvdeoCXfZkUceSedE1INAuvs6HYBucP311/PA5K6M1QZduJpsRhUjDUhgXBDgMcgLnTv017/+NaJwrDN3NH5XVlllFd62USft7Pbs7EkYa5IGLr30Uu7BX/ziF+Gtgdr+qU99ilfVQgstlCZrGf75z39+1llnxWTzzjtv+vkR4tEreGrx7gNRTMnT+wMf+AA70q211lrc+DG+JsC5eMPypgsPDerMm27dddf94he/WJOr5lAPedachUO8U3jv8/GGxUNIGWpOr6jJ+Pjjj5933nm8Rx599NHwKgmJ+aBiEcanP/1ptt0q/XggWZfP2N5+0WVvyZVXXvlzn/tcaAsfOXzqRAg06stf/jIqPxeal3785HvrW9+6+OKL8w4t/d6L2Zu/H2MWAxLojICCe2fcxl+uW2+9tVRwpyV9slwbf4yssQQkIAEJSKDPBNArUQOLJ0G2i/HZOIFB4w477BAk8jQj9p4MTflDhdxnn30yo7MHH3wwFkguxi0vvvgiIh0bqqeFhDBFbbfddox1i4eIwQKI4St/jHYQB4Neydg7LT/NePPNN4efmWUWctuee+6JypwmJsyQGNmRP8aZCPTolVmCJj8Zd+20007IoMXEmKgzFuUPRfvb3/529tmDxpc2hNYxtP7GN75x4403pkWR7PbX/pgqQDuOakiapmGY8e3GG2+MkJqmZ/oBiRkNlxkRBtgcYvcdBO508IwUy7RBmosweg3XhebH+LCjdbED7L///qjtMVkIMEXB35QpUxi1ImpkR8NPrsuhhx6KcXF2lEH+97//ffJCnqmI7Cj9Nk5XcAhR+7HHHlt//fVTJSVkyVLusccezOXw4ZoWSDMhzx/rzb/73e+WGjhffPHFe+21F901zRjCSOS/ee2PyR7ugh133DE1gssqUFNVSvvVr371rW99C12jeBZi6GyI4/whBx999NGpNTpKStrTaCMXjr4UJz/IThjdmXtt7733Rl2iAzArFiYn4umYD0OCZ+rutNNOe//73x/jY4CuRQ3prTEmBLgBUWT4Q9SjbnGaZGD3cvFeo2JM8nE5OJTVllodeOCB6C+pzh7T8DzkScIfTz8mokqXBcTEBiQwPAS4c3ffffc4DZZWjHc0tzx/fAMcf/zxYalHB7dnx0/CtDKEqSSaOJN2aTyvJGrIY4S3JE+n9FB9mPnX9AGYEeC5zbmy124okKc3MxP88TRgnpIHY/2Jim866sxkJ3+8QQ455JB2X9+94llfbY5irMCLOHvi8YLedttteafw2M++qcgCHFoEmeIjlKMYrb/2hr+bLzcK/8IXvpDWoctnbD++6LK35Pzzzx8rzAKLtP8wt81HDqYkmYEI30KI6cxY8FVc2lXafT/GChiQQGcEpuosm7nGHYHMACetf/ZYTw8ZlsDQEmDSPh0tD209rZgEJCCBbggwylpvvfWKantaJtZnaIipoVx6NIQZWaF1lqrtjHtXX331KrU9LYqBDZVBFEgjG4ZRsRn8IJDVpKeZGAdgzVqTpvQQHznstVWqtqfpGYZhJhYtodJDMQwoxMrSYX9Ig1yCMh7TtxvAgQAXK1PbYyGw3XLLLRkkE4O1IzZ98RCB0gZS1VRtx0AeS/A0Vwhjn15U22MypHCkfAT0GBMDzJEwcC2q7TEBhnikwW49xpQGmFHgFEW1vZgYcSFT29M0KCZ0Eob6aSRhLEZZqVCqtqcp+eg98cQTUR/SyCxcU1Ws+VB4q9T2tBxUKi5lGpOFkf4RSuhvWTw/iYQ5LULSytT2mJibBa0hnY8Jh9AgsGEvqu0xIwGOYhtY1QnTlKXhHt7LyHZc7lKpCDj02JaDFJ5+O++8c2k9jZTAsBHgPYtInWnNxUoiOzJvGl4ExaP1MT18EvL8ydT2eGpuTCbtjjjiiBjTTYAnHiulal67oXAe+8xVYM5ccy5U6Zo3HQYKLFyryV481EOexcLTGKZYeDFVPfGYiOXLAXk9zUJ4++23R6MvfYSmKXmDM8XLlEMa2c0ztodvgbRKzcN89QEkU9tjdjAy+x5XyMX4Abwf47kMSCAQ0MJ9ovQEjNeqmtpycFKVsRjPOi9WmS222GIf/OAHWWiMERkmSLwDGAryWGR8wmOOgTS2b3GdVLGQLmPwSs8aN0wDCOCyjfEq1cDyhZc03zcMdBlHhZrw1uGDpuUrqsv6jJfs6NcM0bGeY+nZXHPNhdM3rh2rj3lDc/mefvppRuOYH2J1xVR51ddA/xpLZVgGyAprriyrwrms2HIiHxRXI1bVgSVmuETgD8tBGkivwO4MX2/E0wfoHtwIuL3jzU1L77nnHtYzNhlRV52uSTwWFtQH7DSK+4VdFqgMLWX8TGWQXfh7+OGHEcgYG2MnWBxXNznLOE0zhHB8vo3TvjRs1cZjCeal1AprnXSowBOJV2eoLZY7IcBTl9FU+p7iqTXffPNxFGtdSgjJ+JeHM6ayNcIT6h5P75g+DZAxfdyxfBvBDtcTvEN5abIvXOqahpOee+65G220ETdpaAhFUc90HIiROI8y4qM1Fm8NLOgzuR8LbtRhXsq0Jc4W8DTeaqutrrzyyuhZJa1qaZhTk4WnZXqUhzyfAQzj+fBIP4HQlHHdwxC6yidssKQLReG0h2byakhLJoxiiw8WDmXxTX6yPD8kw0cK7zKe87HtIZ4XLsyZP+Anqmhq0sXnE5XhuqQnCh6KYgwzCqWz0XHZAb2LnsZnGG+69NR8p9HZkC/T7Biw03Ni4QRCdlRg+kyqBaO8AJxV3mniNMzoN02fHsrCsarUkwcvGj0yd5qGjoS+T21jJL0Ik/D4k8D73vc+rhHvVsKMujEATK8jugb6TpUXnZqq0o3TuQduW0z7aTjecrHfxNif/harwV0JZF70MSYNRN2HvsqFyD6MeePj2iik55akK1J/+nNaApeA7sTdGiPpTtyb6awGH0s8MXhu8LRJJ1RQ27lrmACj8LG6lyHJaoZY+TRAE7jL0hg+AvEtACs6KjI990g8igDHLMgnPvGJGGNAAgMgwMxrlZuOeHbehp///OfjT1bPxDABhiRMQ/JQZajFY40XU3y8cHfz+GWY09bt2dsnIW92KskbgYcYzxBesqzgSevPYiNGjvFLID3UVpjXXPp5wJN5gw02wFsUAZ5U3OChJqFMJiNxuVO1Wwbqc0hW9fomAZMZDV/fveVZzyS2kVEqLz4sA7KvGt6MPBVxlhLL4e2PBUD8SYBBJQ7N6FF0pFtuuYUuGj8geX2wpirORnTzjO3rF13anJowywHDUfonH0XMTqWWBxziy5DGsjgvFtLZ+zFmNyCBzggouHfGbfzlQsirqjTD6apDDeN5HeITk4ENPrOKWRC7EXMRcPnmYCkTliwMKng98BDkTVBM31kMEgamc7xBS1fXUiYvZv5YnUc1cG8azoKsybsK3ZZ545bnRccvNS6rWsfKgrtsaBRPgVESy9Piz34EaCwSRrFkXjzpu4cEuE9leMYQnctUTM8HFn8IHyTDBJIEfGwxIGfsWlp+sYRiDJ9KrKbP4jFJID6L5CdjZtYaUz1aVDzaMobOia9SPmcZp1VdKdLwRzPpRenAmI9dXBDQ0nrb0pZ1KCZAZsLUFCWFT6LiUeqJShUOMX0V1umjU/DFSV/NzBOK2YkZTF9lTqK4FTODf7pTaa0aRvYbTsNqxGT0jYnwfIvtNdBvAryq+OMs3M6pRMiQNQ6EQh0YJmFqnc604TUVm9nwrGbAg/CNXBU1U0ZiPCp5x5U2IYqYfA+gTPE2JCPOoBG4edClWbAgw9VpjGHwxrsV/60xJgj33BpUIETyzGEkExOgKaTPUuJ5fKWqPY8OBupxsTAjanzmxBpiObXffvsdc8wxscD6ANVIq0diVFEeRMHHDoMuxpw4nYhvZOqPL476JxUvDmYv2FSW0ngXIE2mplJo4riZjhMk9dUrHkWlPeCAA/B+DkP4o2jzM02GFWQQ3Plc4fMJhTEcpQl8tPBEiomJScESn8qvMVkIAIQTkSBoDXBmeX4ctZKGyV2+c6KXW6afWYQeC2GKAoc8HA3ZGc9jH0c3jgkQiDGqoFExJg3E68vbDSUFCAyPefOmaWKYrw7MJ5mNDjF8byA8pVo2ogkvx/gOpYNBMmanY/OdGQvHnTr3F18CMQFtRx9H14gxaaCqqkhCaR14WaOwhwmwkJ2vXM7Ft2UsrUZwJw2qSvChxO2M2kI3K1qd00y+nMFFA9HjuDXSyS2k5/SKczQtASMYrlHcg5R1AywCiJ80GJ1Qf272sbqXuQQRFNYevP15uIUnCZ/l8YYlDd9C6RIKHnRcO9y+x+wYriq4RxoGBkOA26fliXiBRsGdF0cqofKpj0/zOPjipYPTs/Qxhbclnnvt3p49fBLSOl7lvKx5ohIOXx277rprfAQRw4R9nDtsSaMqAc+x9BCT4jwMYwyvPFY14fgrxDAg4q1Xs5lK/eubqUfe6VUP/3jSEOjtmyUrvPgT4RjaUU7hjQOK1LSCwTJvhGDQQPZssR3zEOmHE/udMEOZPid5H8WTdvOM7esXXaxhkwDrRXiF8X6kKzLDzRdyOq/Peri0kM7ej2kJhiXQAYGpOshjlvFIIH5tZ5XnldNyXVuWJfvJ6nIe3zzf4+shS1D8yRcG3xO8LBnkV0kDxVxVMRiIoSBj/8u4sUptr8rLe+grX/kKo01WzDFFX5UsxGMExBuu+FdlJUczi4lDTJXyW1+Bto4yHi49exAgQlGYivORxFcOlyN+8LU8C+NbVqUxLOeiRwegLXOlCSBWrFsRI1VFIkFfRpzqQG1nxhtxCk0ELYNvrw6Y480WrZ/uzRu6WL20Rc3DzB8gTzDo5Rs6KgVNsiMccK+hwiAEMISuzzKYvlq8iMQ070jFJgwGTvG8NTET5/lWA8FDY0WAwXYqSDGUwqQ33mI85JkE5WmcVg+DuPRnMYzVGFPdzCMipB5++OFoAXwGpGZBjO2xFc0yYu2exqTp0/iqMINzxpDxKE9jXh9RbSceXZvF1KmpIPZu2aayMXsWYJSF0VYaySp4xqjxZcfzkLF6ui0qiZFrU1UizU4Yq0PUvaC285N3QTpkDYlT4TXL3vInGitvpSBM83JhWTQ/01xR3KfyON9PD2UT/7xNUrMJhOyaDyGEEnT8IJdTJmNU+kBmnJjasyN5R2GF9MxAsFdnzM57GU8y6fsIXQAPSGltszBNRrLHbwCqAbMylF/6Ecjrm54c1XYKoVG8OqOATgwVS/ffi7aB4YwIsmliItkYIAAPCfi3vhuXVjU7C/NMqdpOmXyRph27/izcCDjHDzsWQJX2coFi9UIAWwem5bhS/KSr0JO5Z9M0TIrEnxiwp9aO2BBwo6Xf/5SW3olkZJIv1bVjUVWBftzLzDog37CohbuM51Lw9pMZ0sZpxVgxNDi6bvyL8QYkMLQEMm9m3E3phDrVZiEvImns1bwTa95Tpc3MnlFdPgmZ7uUZFdR2The+OhgZpadmtrtjA6xYTna/Z63mPcinS8RCIBVVYyEh0OT1Hd+wWd7iz97yLJafxfAxk8opvGL4VonvXBLz2oqL5PiZLVsMFlppmWwlkv5MuWXMmz9j+/EWSCvZPMy3E6Pp8H6EEl8j6bo3ymFZWFzvNYD3Y/Oam3JCEVBwnyiXu8oOK13A1S4LhqA//vGP+XaPg9J2S+CrAqWbgXG7GWN6dAEsdDAY52UcIzsI8HpmdSp2QF2W08GpxyoLBhcYCzB47qwCDBSZUsbGmRmLzkqoz4WUz+gL685shFyfKx7F0ImJbgb2rCiMkZ0FGOIiaTFJzndnZyXEXJSD1IUxGmpCjGw3wNJ1+iqmrN3Xp91T9zX9sMHx+dbXy23hTQhkC6F40xVzMR8ZlWWOYv7MWKiYLMSwqoaZaSaD0wRYlTKkjH/McRbnF1OjPPKicacltAzzpZE6z2F6O5MpKQF5NDXU5RR8YLQsmQQI32nhtC5dcB1LYGCWKrCI1Hw8xKNZAIv+7CmNNRzPhDRZ6qYmjW8ZRl4s+l1hNiXNmC4X4Kqlh5hzTU+dUQp28Wn6GEZ4DUsrYgwBvnmyqQhm04MdBsPv1JsNCyOK2SkBCTgtMJsPSA8Rxr6e5qTyQZYg/OT7ZJ555skOUf/sXKmvf2YOYh8mwKRLlp3BdiYo1Hfj0qpCID0LUlR2Fk6Rum3haM1Z2P01s7JMpZZQMnpZdgpsvdOYVEDBfCRVz1NDyJgFWT9dfcK9c++998ajLQM9v5f5xmO5STq5EuoQZxbDT87LByHunmIN+UpkaUv8y9aIxGQGJDA8BLKXL48LVoczFktvWyTX2Kvx+FR8Hdc3p7dPQpYjM4mYnRFLlGwAkq0wy9I3+ZmRYdaN6dgolVICL82IhUDpyyicqLev797yrEfBli3MiWZpeFyjlqSR0dKfSIa66SuJCZs0JeHs4y092vEztudvgbRWbYWLEwxxNUksJ34vDeD9GE9qQAIpAV3KpDRGOZyN5WJT622RYrJiAAcdp5xySphULB5tHsOXBPYsTOEiJdTIBKUF8nldvyFVaa6qSEaAjNKxscXcO7M4qMoyfuMZ8WLWlAkKHTSHtW9YSgazrJpRZbsls5acBRBFdyUNy+H7FePEVIRqmLEmGTI3NwtGiKkOUpM+O4TpN8Cz3eGzNG39xLaLdevYt/Ld01bGIUw8hHB8vg1hP5loVcLCK/UfxeMaa3cWpBc5IERGHxFYP2G6xfOqmAxpFccUxXhmT0tf5Th/Q4x76KGHkHTrVdRimVlMOj7kEEPrJgViu110PpaVzE/mfdNIZlt5pKQxIczHBnb6qYLM9GemXcZczMHHcAzgDZzVAPFn9LQbYxoGSgtnwVmaPV16yIwIRtNRFeVLiWmVuAqBcMyIdhm9wcTIGMD4q9SkAAhMRUTdFumHcxHJhETqVZwlWZm4H0pO0xCDXk8JpV8XiMvpnEqsWDHA260YSQy6AypMPPSrX/0KxSrMypdedD5LkGywAedFmbq+iSVUBaqqSi/ir5gLHzLo7NQHgaz0Ji1mIaY4qcCyS5qTTgxw9bO8M800UxqTSnXZloN00dIbjS+3tARutNI+maaJ4Z7fy3zGlK7JyFbVUAG+wfhjvgr7VirMwIEHHY+vWDcDEhgwAcTolj0wfb2yoAepOroIo7Y8bBmzkCb2aoZUpU+zhk0rzdvxk5CP4eJ5aTLyd7r/eXw9FRM3jMEQG0esMTGPNdaB8Qcxlm3BBD6lD4qYJQZKn2Ydv757yzNWsjSAQ6Gq+PTThTX9MVnau2IkIgbW60jtTIQwnRnjs0DHz9ievwWyijX8iUVdXHsRs3B/ccnSL6j4qTaA92OshgEJpAT8TElpjGyYd8+8885bbB6TfqXf4sWUWQxGRgiapQOqLGXDnwwdGe8xKd1cc99///17qLbHejKcYwVuk0F+zDLuAqxfZvF+Dy8fF4KhOPuP9URz5w2KXWfHaju9KHMv0KsLhOSBXXkHFv18DzGvXjTg6rJiYREAq8u7Ny3psibdZB9COD7furmg5u0VAcbkqe7G+DN1aVpzFnT5UsEdO6l6J2B4tWYpD/o1IjsrxKNZUM25Gh7KJEg+PJp8e6TudGpOlC3SrxmTZybq2Xrq9BSpc5sYn5mDdfy+Ky08s++LJw0B7NZTRQN6QXDH41mcayElTuFRbLO88WdmTB3j+RhgEWQ6dxuQZlcN/2ys3Y65qgII90xLZ5JuSFylJhSLyq5UTJAt1mSTA1YqZJvrAgqjP2YL6MPMGMX94mIhTQItq4qfdDy8MSUGFqT2OKRvUnhMk/WoEJ9NihT96YUJhlhIGsguWdEPUpo4htMFIjGyKpCd4rVb+YqqxDG+5l6uQs1sBFvdYNkTCwkBOjx/wakC3w/YhGLkiCSXJfOnBAZAAK9W7D3Q/ERI1exWxYM0nScjOy9fnif8EcZaiJUuPOEZkHYzUuv+ScjkYtVYLJsITN2aNaeRpsSKiKEfxtppJGFWsPHH3hWE8ZGF2RP3e/3C+tI3bPaw7eD13T3PrGnFnxnVmCDrY0XavOYQwVn9hhbPi49vmyYN7PgZ2/O3QGxpW4HSC00JfE2lgntEkVW7H+/Htupv4olDQMF9QlxrpohL23nEEUek4/nSNMVIpuJxI1O/IhilAJMiDIsYhDDZiP0dw6SaQQJn4SVKPTN3tMWzhxhcmraUHnj94AGWgRDDP7auZtCCJQIvrXrFgfKxcGeanX1Bq84+ruP5ksNArNREi3bxWgIab2sGzMyQM0vM9w2j9JpNdwMNZGgsvLKV6Z2BQtQumn01LApROzV/q8qFn1lm/ukY/NGTaR0iBV00WyNZzM5SNb6AS638iolDDC9+fKo2Udv5FIA8H1JYtjKMRLDA60LqA6F4Cno1KyuxW0y9uBaTDW3MEMLx+Ta0vWWiVaxjvTvdsDGFViVikgYjZdZNs/sW78o0SwwjAjafDo+5YqCzhUENc2XtrXlb8VyNVSJQQ7i3C6TSkxJuaRGZpecnE6ss6YsfbAytgcMnTfYyqrcfr3mbZDI96g8nreFTrGEaQ91KBfeaHphmJ5xdqXiUz0jeGqlNPVc/Cu5Yau+11141znl53cexdyyzNFBTVaR2JDMW4VUV1eXNktWn/mM7S9zwlukmV89PUTNDxu7NfJhh31M1N0ZHZaML/nC8c+CBB9aPMrJW+1MCY0KAcQS7Z/E8T7evTGvC4AtnWfwxR85eFyzpSI82CffqSVjzysge0QymmlSsJg3DUnagRQNlE5H0CZ9mYZSEQ3MceeFEntm49FAa7vnru1c800qWhjOqMU0Wn9FmNoLvt9T9TsxIoP591NkztudvgbTCzcPtfkoNSbWbN9CUI0NAwX1kLmV5Q/hSR8UOOzJlKdBVMeXOIlv+XGqppWrUdoZnuF3D4KXoGhXplrx8E6PMZvY78aTsiMLkdtGeJSYIAYZb+ObOIuNPvlSQINl/iY+VUu0AwZ2xK/7HSxedhXIwn2fhavbKZ1zHECueKAb4GCpdQIDdcdWWXM8++2zMPuAAduilI2Fqy0cMo/d0qWOoGxYWLOXjwjEVwQi/qsJ4yOXzseXlq8oe4jfaaCMU7fo08Wg23KWedL+qLy0Ss/SeJZBsEltsYyiTvoFTe6wnWKocz5IF+DrJNI4sQfaTCYCiS740DbZ4fGXStYq9gvsXs3okYMz2M0EklsAVYcEgrmBTOWy89NUxgRPRFQMT+flWpGHM2BLgTZdVoOWMYEhfpTrxFs4KDD8xtePpjW1UdpQ3BbOtCF48DxnLscVllqD5z8y4jJoUW1csreEOHFlRUZUuFpjtw1a0HS5mGZIYnv9Yr8dlAcGrDL440pcR3SPdv7RY8+Zkwjg2A0u/yob9xVOEmCqNuKoHFsvJrlSaIGtFfOPzJuXzJrNn56sA6ZxujLEFltS4/W045K6qKsovHvmKL2ssLjkL9omTJk3CXCNd/p9Wvt9hLllq2cfnQRNJoqqxpbXt+b1cM0NGBbB7BTgzTBj/sp6A2ZTMNDhUEs0dwQ4Rs7TORkpgqAgwKscQBw9UV199NUvK2PcyG2+G2jKkQlZmgWx8yjVpRQ+fhDXP4exQ9rJoUs9iGgrZaaed2H4Dozc2eMM7WenG6bwC9t13X6ybv/SlLxUL6XlMD3m2rFtGNabP4tOHMKaTTEnGlCEASb7cePex2JEXU7b3SZa4g2dsWgFK6+0XXVa9Hv4cwPuxh7W1qFEioOA+SlczbwtWP4cddljprpi8rtjzJHuC5/kLv3GVhbRX+vnO8A9ln+d+MIwqZP0fxgBh5SlV4k1Z3NQiZMFE5Wc/+xl2vsUSYgziYzRoipEhwIcLI65sx6osDSMlZsj5Y70eu6SWDukRXlE5MbVO87JZU3H3KhIwhMNDS5oyhLfZZpt0DXgxwZjEFNV2PmjYiqp0LiHUkOEN0/v8MZjZeeedN9tss6rhNBMhCPc19mX1Teay7rfffqVp6LF8fiEJ8WFKhVnwzmQGkytpYi5ZlWk8F4IlEalD5DRjDNM3vv/aH5o79gKl6wCYp+FGaLgEm29lNJFYfhbga5tOkvnCS9MwScAH9w477MA+B/RV5jzSozHMYmqcIKWOdMZFXx0rOJFbFpjgz7eMhj/HnED2rObNi8/xqmdvk9pW5WUdd6a28wDkC4EdTWKxbfm/jrliIFv5y5YtTZyTxOz1gazwzMNMmhdPFOnPjHB6aAjDeJWJgjvVI8xEePqxhCVB6edZbEu2njrGE8ighe+ijA8zx9geprnaDVf1wGI5WJGXvs2Z+EmnlskYjAB4VzIXnqrt+MTn1ckcamfTKlVV5cMgVdsRGvh8gnw6GTaG6yO5ZKk9AR+6bGlQxNtNTHa7dX8vV6GOlaRXM5MUJpNYNYsMhz0N/T/rtGBnkSULamNGAxIYZgKsYeWPGvLgYjjAGIeJOgJpnVmMi6lQ8/2fevskxJIa851Sc5/MSVR4Dqc17ziMWT2r2PmjBJ5mDCqZbANCOpXIIYz/BiC495ZnSyZQLX3xVdFmKJqZTjLjy7iStRHxYwAPgS3P2+4ztudvgZY17EmCAbwfe1JPCxk9AlONXpNsEQR41GKjjTRZqrbz/sBzS0vxsUgSRS8bgIU0vBEZb7DGtkptT4vCFxu6IZo71UjjQ5jRC4p8MT6NqZIdUdvZG7ZebU/L4esck7Eq5RQT+DTxqIbR2Xk916jtacMxDWMdH9e66kIz6V2caU9LqA8zYC6OjXGQytcDg2fOi4nllVdeef/997OWIlPbKZmZgNLy2SYF07a2OjyyApJTaWlEVk0XZemZtqGfZ5HxJ6dgAFmjtseUBPAzw/qPXXbZJY1Mw9tvv31mcZAeHcLwEMLx+TaE/WQiVwnRE49ekQBj8lRdjfHdBzJrXOYI995771Rt5xSduaiOdeObJIYJNBkBpunrwywDShPgi7z064I0TBunKbOM6aEhDPO+SMVE3h2ZsFvvT4YWMWFT2i4+4bIPp+BJtq9XrbQmMbKqqtkVZNgfRv58WKaSBPIB1iF8EGZfFF12Y6qXLingJ9+9GHmkajuRmTAUGzWAwAAu2QBOEUDxnRn/ogsFLugnP/nJXXfdFc09+yLirh9CG5cBXHRPMY4I8AiKvZpAWK7B8wpTHiy72ZmAB1fmyIWxfPMG9vxJmO0zGWuSTdJXOR+P6esDTKOmWKK9P49WtgFHFuB9lwkabGDe/fO8vlYc7TnP+jNWDQmraDN4T2egMWY/+eSTWZIY1XZOV0MpZd7WM3Zgb4F6XO0eHafVbreZph9CAlq4D9dFYXOSJr6es0rzAYpOzRuaRy2+TTB6Qp3M0sSfDNoxSEn3Fo+H6gOsSMJWqJiGoRqyNW++4qGaGEyh8Tp90kknFW1bKA15lHV2pdlZWLfooouWHmLrzmytcWmyNBJDYHRVzlVcr4fVMJpgasqUZhyNMCYDLCUrKtf1rcPWAIf7mBeVri5fbLHFKDPsb1NfTnaUnp9tmI5HIHQfVg+kZmtZrviTnl+6T+Cf/vQnliB0MABG2UfOCBvTxbOEQCZFZUfjT4bipYYhJMDubNttt40pGwYw6OBOZ6hZTI8QA3acAhUPDWfMsMHx+Tac/WRC1SoOMmOr0Vhx9hp/XnDBBUytxZ8xwHAU47jwE0MzRlzFF2tMXAxkhs/BkjRLxjRnFlP/M/PnxrMd5x7RFwQvEaZvizZxzH9jDRDlcjyM8a6pPxFHsbxmNVJcsYcZO6NQviKyjAgH6YcK9WGyOUszzD/xxYfRX1x4x2uRCx0rjFlcqWVcTEAA20kmnosmz/g0i8xJhl1F8GCOmxT8a8dpHj72WFyP3JmWSZiaMNvN0RAP1dJemuWq/0lX54uu+I2RmdhHf4lZH55zzjlZsZSdgqvf7idiVkKQJ9LI4s1CJ0ejSdMMMkx9zjvvvHhGHK3w/RN/xgBzbPjfiz/xm1y1NSJpBnkvxyoRwLIhum7nE53NANMPdW4HHGHRWD7j01yGJTDMBHbbbTecycQaMlaKD7EQueSSS7KWGtk9pqkPZLdnz5+EvGWKb2EmRLkf04qhPKQ/2w1T7WWWWSbmYiCZfvkQj8TB/hxhq+SYLH1txcjeBnrOs7569A1WY4dZ5JiSj6X0qU58fIln1YNb0aNgzcdbx8/Yvn7RxYb3PNCP92PPK2mBI0lAC/fhuqzYa2C10e4fn864LEdr40WOiVON2o6xMA6yO1Db8XtF4UVYDHHx650OYotpqmLwtF7lbxG/JVW5GAemM7cxGd/cNS+VmKwYYHUqO8UV44kZX6Px0ibURNIZEBnbVdtDgRhc4HCgqnCs4NEyqo5WxTOMT3Mx0Pr0pz+Nj+8majtlMk9TWjJOior7uZemLEbiXaYYSQwzMaXxaSSifKlYTxo0i471iOC0Jz1RDNf4rolphiQwbHB8vg1Jx5ho1chkcUaw2fAJt0tpGp5I1113XUaJkTn7qvFMDn8opGmWLHHpz2xXleKqLyTXqinwWGB2Uj5L0sEwz8x0UTwmVzjiyAyvcBCBiR/7uISG4JosUyLiubIA9y/fIWkks5KZET3mz7yY0jSYy6UG4+mhoQ3jzDqtW5zAIBKHM+mhqjATvZlfHd5HqTsyMnKWeDUx306L4tssNSTnEB+BgMXl7v/fAe/GWCHN0lmYRWxUNU6ihEL4Hsgs3+N6x/TjgcSYSmR5iSx1/ddW9bI7hbzFmwWNu2rzurbO1VlivvDTLRZZ7YGzx6woFoNyg8TrxSREprbHqx8yDvJeTquK2/34ky9V5mDizxDAryCuh9LIdElQGm9YAn0iwGOKp1CTv6CMp72aKpUaJ2Uvr6xX19+ePX8S8gzBp2X6NucrJTMY4gESJeDOONNGzIliXgbmDFHjzxDIptZYAphmyRL36mfPedZXDDNzBPfURAw7DD6W0NxjRjpA8LdDTPZKKr6P6HU1llhpb2zrGdvXL7rY0p4HevJ+7HmtLHAiEJh6IjTSNkIAO1/GVPhYzybDG8LBkGSWWWYpJkYxx71aMb5hDB5CmI/9zGc+k6XHYI340pJLfdqQvRtTdN5G6BpZHfiJcz3GTsX40YjB2WXVnq5NGoj+gtBT6niHlRa4f+kGHeNV3ovRsK5JfUq/9lhql9kFNCkqpmFciiSUrUnnaKnf/5grBLDOy76EQjyDWz6eUqEky1j/k4x77rlntqo9ZMHiAIN6/C3WlzAMR4cNjs+3YegVE7AO2XCRBzJGXuhljPGY0WRClAlmVq6cddZZAQ4jIlxLsUMyk8EY/6JQo4Wlg3MKrPKsVYOXs6TWasj3jH6Z70TI5gGINTqusTLT4OwnhfOcRCSNZ+GtyisAQy0ewpRAPM89ZNkosmNYwCnwwcoMAdooFWBruFQk5aWceeqIhRcDtJp9zvnOCYewtuYdROGs0wcmjiYwHEs/fgBFfYrlDHkM26CxJpqNPbJ68q5p6M2WATlGbVhmzD333HQn9GvWcqViCmTS2XR0fIzKo8k2Yj3ZWeOPNx5MH3hHswFAtG2nVqjtVZPfWZ1b/qS3fO5zn+M60ht5r9HV77zzzjQXa9risstgkh+PIlvgiY6JbQxQkCcwCsGgG8OUmCAEit04S5D9BE628JEZCDae4aJgfM13C6fgMzvL1e5Zsuxt/aQazH+wTCTmYpaCjeL5oOIbnjsUlwXcevEoATzdpz8Jj+29HCvDpWdLp/gTl4NcR7bqoT/wVGHCgBFEqkyh+nXp1yKey4AEGhJobukVXH/w8GRDpjgE4MXEO5H3Fw9kbJNx7cVQPZ1W5PGVjZHrb89+PAl5eDIex84dM3O+N3jKZYNH1s1n0wAN6cVkvMIgE52k8W5iEp2RAvP0fEWACFMD1sXG9ASKi9jSo70K94Nnfd3wHsPjmnc0Dzq+8ZhozGR0QHEoFMLnU1oaD0xWQrOqCakEY7UwWZLZRMKWN364Xt08Y/v6RZc2qofhnrwfe1gfi5o4BBTcJ8S1ZhksT0Z8gKSj2bZazsruYnoMnbLNOoppWsawIzkv8qI0iaxQKriHT5ZisaXzAcVkpTF8uEOmuENmcUlyafbxGMnygqKlZLsNYUEG4+FS8gjxHQvufIky4G9LbafmfK0W68+VTbWAYoL6GGrCRE7RgUzLL0v6EgYvpYUzGs/MNEqT1UQyYMb6o7h+E10JGQ71pCbvMBwaQjg+34ahY0zAOhQ9yPGCC4OrKNLtscceeAJJNVYe3VVPb6bAm4vUETiDLmTT+BOxkoEuP9kWIhWpYwICfFSkPwnjNjSzNkUk5Q/VPqTkQcoCHUqO8u5zzz1XtYoIF2GpaJidq/gTW3WExXTNFgCZbS2dcOUBjtlvzVrAYvnDE4MCnnaGUDHmYJpcdyZpuHBoJTX+CljLmL7T0YCYgMHFAZcynIsuUQUWOebQQw9t+X5sAjNUlXuBy1qanvcIulU8Fz5kmFzhjR8T8yrkj1kB0iAxxPg0UOzG6dHSMDcLHuHiIeQn3vWcAlBVH9gdnCWW30GApRvoLOkux2iCVbLgmmuuGSct4rnG9l6O1WAOCbcScfcd9CMeF/xxTXlOxsdITJ+5dI/xBiQwPATw04U8nS4qwrcnfzxDGAgXV/TyUiNLWv/627O3T0Ie6VhYUyserenTNa3P4osvjllAGtNZGCMwZlXji4alyfiQ4Y9Ha/wciiUz9xm+UmJMnwK95dmykgjl2A0wsV314mP6gW/CWA6zDsz4RjsG4tnWmz+gcdXivE5MT4AnJ994vGEJd/OM7esXXVrh3oa7fz/2tj6WNkEITDVB2jnBm8mDlfEVQxc8dWI53i4NbO6KmiOF8EyvGmA0PwWWU6VL6pjCLSrgFMsQvbTwYPlVeqhlJN/ufNNg5Zr9Zd5CW5YzXhLwuq3ZzLN5K/gwKq5WDtkxXZxpppmaF5WmPOWUUzILrPRoVTjVCGKadlX7mDEGil6V46GaAHu1Fd0Tk577BeuDmowND2HLWZoSxaE0fqgihw2Oz7eh6h4TqjJYJ2HHVN9k3oM4PSuKYlku5tsYd2W7imVpqn4i16KoFo9GtZ3CEebSBEWnGXiDidp6mjINYyKHW4+WybBc5i3Q7i7QfNvwyq5aAxergYLA5jGDMY6LJ+1hgBEyY+mswJa9KKQnWemFjqVhFV70hIbigElj5nUkZokBFn6xrCEzuItH2w1gzpyuds+yc1Pgyz5LsP/++7/1rW/NUiI6RLWdWflsJVyxG2fZiz/p59l5ScM3VfwYZp1Zdht2cJbieduKQZGhni2zMHmDnlVMNub3cqgSjx3mNrJLxiGuaaa2k5KGYP9RbIsxEhg2AvhjKS4OpkvTsbOq4jmk6GG15e3ZwychWn/prlGxnix1YvIgTnzG+A4CjBnRKIojx6LazvCKd002D9HBGRtm6SHPlmdEVymVPkJGGo6Yk3p4z/T3WD7QotrOKoFsQBoN0bp8xvb1iy62peeBLt+PPa+PBU4EAlNNhEbaxkCAUS5DNTyBYOrecnOtFFo2eAiHEKnTjV/S9O2G4yKyNCOjYkTbNCaEce1d/CgJhzC3bzmSLxYYYi6//HKqkf3Fbeiqco3TeHy2smNtTyqP/VE6tR7L5C3e2bpyJB5ko1hO8wCfsNl8CT+POuqo5iUUU2JvEhfuFY/WxFSpOdx6qSe+mhLqD4XF9ayvz/6KK0XqyxmTo8MGx+fbmHQDTxoIsMnEdtttV/+cQUZk4zIWxzCvXOTGw5ZJIzYTyzTxYsqaGGzPqQav3WIa9nBjRRRDlPT1yoAtW6eMMwcMn3lrF+XgtExufz5CUHVLR5X468AhBuV05l0dn+8UvvHGG5c2BJs4ZtZJwARDWqXxFUbPzZY3EZP5HKhpERboSJPZ8Jv0COX0sS222KI0L0d5efGSTYf6MSUuDuh7ODorrtiIadoNcAXpBuxpX+xOdEi8D/FvViarIpgYwCFhFs9PJgOYS+BoNnHF4v1i4voYKoaNCFJ18W3LcnV2UuFjMlPT8E3HB3N9sb09iv7FxaK9UCrVwhgCsHCBJQKlWyINw70cgNBRoc1DsnQJI2noHvg4KjLvLU9Lk0APCYT5IUZP3J6ES0vGjJ3ZJkyaeKpkCVrenr19EvLSZFkJ065ZNbj1GGRxewZb6exoZz+pOS9oZhSKsnsokAcCC6DZFD17CXZ2uoa5esuz/qRYTfF2K7WM5C3PZ15RveGlQ1cpXZGPPxy6EGZeGDGk501ffF0+Y/v6RZfWuYfhLt+PPayJRU0cAq+bOE0dnpYyOso2Rht83ZA18eWCnVeTU2OEXpxJZkl7qVDVpMAsDeMWhu7FgRwCOpXMEvOTgR8bbBbjiWEhLS/jXqnJpacoRuIurXQzLvx74Dq2mH4wMYgLTE6Unott0DrYOLe0KCLDQv7iUU6R7bcW07ADz+abbx5/pgEMG9kxJo0ZwzDLLKL35LQafO3V2wmy3V+pgsaHEYvc06IGHO5tX8XTRdHskXk4VJKadg0bHJ9vNRdrJA8hDmJINWxNYyqOJzavZl6IfCSwZKcoNVJnPLnhUQq9m5lOhHj8ouA1u4k7kSbtZUEP3mMffvjhUPiss86KhN1u4cyI41sGNxoYWKGqM3IutTrHIvjWW2994okn8CvN+IcPAIa1DAurBIgm9Y9p0DdZ/47zLlZnYzlIBRh5IgcXxYuYZRwFmK4AXawwz9u99947/kwDuBhCK4kxfB0xccJPjL4ZcvPdhQtsri9WiuxYE5PVBIDJVw3PcMByoZFamAQCbDoZU5O95hDmIOlGAnxTBYNlOhImAnwz0524KRZddNF0U9DSAmkX9wirIelXXHoUChpY1MdL8zaPxG6dm4WKYUvIDcsyULT+7jk0r0DDlDxYcM/Is4UliawagSEe50sXrRYLHIZ7OdYK1PQ9ni102vCQ5KbmypbOrsVcBgZJoHR2pycVQPAd8MiuJ9VuWQivP3o1TcPLB09X3ukop/Rq5p5b5m15e/b2SYhbKr75+fbgKlNJhuE9lNqzxvK0x1sXH+c8Zvka4cHFpClLi3hPjeFLvLc8syZnP/HezkwtzeebkM6AnlDUYdIsEMMAi3coD3xw8VrnvdzugrNunrF9/aJLW9rbcDfvx97WxNLGnED/3l80TR/uY359/1cF8K0Z16X+rwOtfvD1yXu61FalNCuPY8zlGLe0dC2Cblj6lI9+FUvLbyuSsTFCedHutWjBFIpljrdKcMcogIEoI0xGa2w+01Y1JkhiPumwj+5hY7FrwwKiWGBxIXAxTTGGRQbFyDGJYSx32GGHdXBqvo1K1Xb6OXuXdVDgKGUZNjg+30apd43rtmBnxF/LJjDFVZzlapmrYQLkQqy/uzQA5zukiXt0tHhe8VVv+YYVrkrGFxEfA/xVJRi/8Xx6oSan9W/oTybNgmbxqdf+0sgmYQYkyLX8NUnckzRoOqyIb6so3t38tZWlg8QswmBKvoOMA87CUwUb8M5OOgz3cqw5L2v+4k8DEhgBAujInT2KaXvL27O3T0JmxPkbDHPm3Zko5W8wp2t4lt7yrD8p5g7sF1KfJj0KMaz+uzT87+YZ29cvurSlvQ13837sbU0sbbQJKLgP1/VlTXc3lnc87zC0CZPAPHbxlczPmhbusMMOmCnVb3xa9fjGCK6m5HYPMW9cFNx51zJsLi7FxXcbe8BWWTkBgfVo7Pl+44034uoaibPLPSrbbcuQp+fC9XYLL4y8SpuMCRWTQNle9qUpYySb5LAjaPw5VgG6FkvCMbTvzHIK45TSmmOv0dl0Wmlp4zRy2OD4fBunHclqS2DiEMDhD5ZrvI8wUsbqDVu22Pa55pprXGzdEStsQAISkIAEJCABCUhAAhOEgIL7SF1o5DxW0fLHClwahhETa3LxysKS86p2shkInsqrNh8nF97iSvMy0V1q11yauGVk6eo5FtSzWpk1ZVl2lr3vsssuyO5ZfPqTyV6s4IMhPGuykHHRhRmpsuSquAFLmnHkw5lxXPftpb/hFqBo0ogpHFrAXXfd1fwUXCYM8Jun71XKsC6emSrulMUXXxz9opuFRcUd1UI9a+6yXjVk+MsZNjg+34a/z1hDCUxwAux4X7WjDMYHExyOzZeABCQgAQlIQAISkMBwElBwH87r0pta4aaTrYTweL722mvjHKPUuSQm5Fi4s6IttZlKT1+1hPOb3/xmmqxPYRyQFQV3zsVmUChlyO5NzsvKX1ZmhcVZzEkgASO+84e8G7fqblLOaKTBB1/PG4LtdlFw5yw4I2pLcMezUM/rViwQX5CvrYycF/GXDsZfu06Ki2WmMaUumEiQOqhN00+o8LDB8fk2obqfjZXAKBHAomKFFVYYpRbZFglIQAISkIAEJCABCYwMAQX3kbmUlQ3BZPj000/HZ8u5555busMJ9rwrr7zyBRdcUFoEOyyVxg8mEi9mVSc68MADObTzzju3ZYyMwxk23eKPvJBBfcbnDD7Nw5qAqnONUjxb9PS8Oew6UlpmzeUrTY9wXxrfZSQ7FrDnO86C2dMMr75NHCV3c8aqVuMwp5tiRyPvsMHx+TYa/cpWSGBCEWD9H1un7r777hOq1TZWAhKQgAQkIAEJSEAC44iAgvs4ulhdVRVrbtyaVzmI32ijjaoE92mmmaarE3eXeaaZZqopAM0dR+2HH354lV+ImrwcQqn/yGt/eOt+8sknzzzzTHZbffbZZ+tzjfejOIHteROqBPd2Ow+uaXpYtxlmmGHFFVdkMgnPQky09LDk+qKqNk546aWX6jNOhKPDBqfdLtrba+Tzrbc8LU0CI0kAbZ2PHDZfYdkim+yxTmippZZi6V7LxrJ1ebpxCFPOLbOMVQI2IP3Yxz4Wzz777LPHsAEJSEACEpCABCQgAQmMRwIK7uPxqnVYZ3YQxb1M6QJkjH9xCVIqd2Id3OH5epGNXTfri7n++usXWWSRyZMnb7nllt3snz7HHHPg7B4/Occdd9x3vvOdfqjS9Q0Z2NEqcbybClSVWerFqOZEuIOvOdr80HzzzcelXHXVVbvR2VkAcfbZZ7Nm/53vfGfzU5Oy6pYZ4U7VnM+wwamqT/MWdZPS51s39MwrgQlCgC80/jpoLO8v/jrIOPgsG2+88eBP6hklIAEJSEACEpCABCTQPwJT9a9oSx5CAscff3xVrSZNmlR6CIuq0vjBRDaRw/7973+fccYZeIlZdtllTzzxxGeeeabjuiEQb7PNNrfeemtng9uOzzveM1YJ62xd21bTqoT75oWgYB599NGs52AOpjO1ne507733HnrooVjbIQGk5oENq8FmxaUpX3nlldL4CRU5bHB8vk2o7mdjJSABCUhAAhKQgAQkIAEJSEACAyCghfsAIA/RKfBUjqZZ6sMaO/GzzjqrWNex9YOBo9JilapiwlaoKOZ4pV966aURzT/+8Y83WXadFYibaTab3X777U844YTs0Aj8ZEF6z1sx3XTTlZb597//vTS+KrIDdTstimuNO/62/Av96U9/+s1vfvPII4+wycHDDz9MAD/y7VY7rQPhV199NYsJP6umJUoTj2rksMHx+TaqPc12SUACEpCABCQgAQlIQAISkIAExoqAgvtYkR+b86J2Yb2LS+vi6T/wgQ8UI4mpEqR23HFHlMrSLD2MfOqppzoo7e7X/o488kjy4isGN6b8YQK/4IILNlTwMc3GxhkfIOecc04HFRjmLFVOtLupc1WZf/vb35oXi2k5Xlyap89S4oz7vPPOq1fbKf+OO+5gBQMd5P7776cDd29Tn1WDn1XTBqUTXcXsox0zbHB8vo12f7N1EpCABCQgAQlIQAISkIAEJCCBwRNQcB888zE+Y5Wb7CrD56effrq0xvfcc88NN9xQemioItkNlb+wJSwOahZbbLFllllmueWWw813fT3ZUvWYY475xS9+Ueravj7vMB/th+xbVebzzz8/MBTMryy00EJVp8N0/dhjj73ooosGUCW2tiutRtW0RGniUY0cNjg+30bs+TaqN47tkoAEJCABCUhAAhKQgAQkIIFxRKA9D8vjqGFWtYrAH//4x9JDVZopSmVp+nZ3kiwtZMCRuAq57rrr9txzT2R33M4ccMABVXJbqBhOwPfdd98BV7Lfp5t77rl7fop55pmntMzf//73pfE9j+RqrrHGGqXF4jkdL0M4ZMe//wDUdupQ1WpcFZXWcEJFDhscn28TqvvZWAlIQAISkIAEJCABCUhAAhKQwAAIKLgPAPJwnaJKWMehR2lFcWxdGj8eBfe0IbgTOfDAAz/ykY9sueWWuI5JD6XhlVdeeaaZZkpjxnsY7zq9bQKe02eZZZbSMh9//PHS+J5H7r777qxIKBbLlf385z+P1F481L+YqlmcGgP8/lVm2EoeNjg+30bs+TZsHd76SEACEpCABCQgAQlIQAISkMAEJKBLmQl30d/1rneVtvnll18ujcfbNW6XsfXOjs4777xZzHj8yTTDD37wA/aSvfDCC9/3vvcVm4CMi2J72mmnFQ+N05gPf/jD008/fZVnjw4ahfF4aS7WUvzud78rPdTbSJrzmc98prTMLbbY4q677io91L/IBx98sLRwtvAtje8s8owzzmB/gizvb3/728mTJ2eRQ/Vz2OD4fBux59tQ9XYrIwEJSEACEpCABCQgAQlIQAITk4AW7hPuulcJ5VXbk+KG5bbbbiti+tSnPlWMHKcxjz766JprrvnPf/6ztP4LL7xwafw4jWQKoUqe7qxFSy+9dGlGvPyXxvc8Eqf8U09dMnd455134rS9y9OxF2u7JVQ1HJcy733ve9strTT9tNNOu+KKKzLVkf3961//Kk0/PJHDBsfn24g934anq1sTCUhAAhKQgAQkIAEJSEACEpiwBEpUqgnLYiI0HLW9yvtHlWsFsFx//fVLLLFExge33fgiqNqCNUvc8ucGG2ywwAILZMnY7PQ73/lOGjn77LOvvfbaaUwIX3LJJb/61a+K8c1j7rvvPsTZ1VdfvZhl9FwufP3rX8eiv9jSDmJe//rXVzlPx11+BwV2kGXRRRctzXXxxReXxjePnG666apcMNUU8uyzz+JLZ8455yymYV4HR0bF+HZjMJafaqqS6dLSubF2C+9r+iGE4/Otr1fcwiUgAQlIQAISkIAEJCABCUhAAhONgIL7xLriX/7yl6sa/Itf/KLqEMLlzjvvXDy64YYbsu9oMb6DmF122WXmmWfOMn7ve9/LYt72treRMovkJxtjdim4U8hVV11VKriPd2/1RVysTphrrrmqtosspq+J+exnP1s1IXHNNdfUZOzhoaoKdN8lllxyyc7qefXVV2+00UbFvOuuu+5BBx303//+t3iorZjVVlutNP3wC+5Ue9jg+Hwr7UtGSkACEpCABCQgAQlIQAISkIAEJNAZgRIbyc4KMtfwE8B7+2abbVZaT7y033DDDaWHiES4fOCBB4pHN91007e+9a3F+HZj8GlQVNsppKjYVvkE/+AHP9juSYvpn3nmmWIkMVWuZkoTj4tIvMqUzqB0UPlvfvObpblYMFHlPKQ0fTeRVdsS/OlPf+qmWPKut956nZVw+eWXl2acbbbZVlllldJDzSPZUGHVVVctpscv/+23316MH7aYYYPj823Yeoj1kYAEJCABCUhAAhKQgAQkIAEJjGsCCu7j+vK1V/nDDjusSh//0Y9+VL+L5llnnVU82Tve8Y6e6Laloi3eqNnLNDspEmqpE5svfvGLpV68s+z1P6t02z/84Q/1GcfjUWz5V1hhhS5rjoOUKhtwtvTssvDm2d/4xjeWJmY9RGl8w0g83XeM6Kc//Sn7l5ae6OCDD2aX19JDDSO32mqrUkc35513HjNnDQsZw2RDCMfn2xj2B08tAQlIQAISkIAEJCABCUhAAhIYMQIK7iN2QSubs9tuu5VaxYYMxx9/fGXO1w6cfPLJpYo82h+bN9bnrT+6yCKLlJaAW3YcxRTzlrq+QSufPHlyMXFbMfjFLk3/0EMPlca3jCz1st0y18ASHHnkkd14yyHvfvvtV1rbl19++Qc/+EHpoX5E/vGPfywt9iMf+UhpfJNI3NQcd9xxTVKWpsFpTBUBNlHYd999S3M1iWQbg+2226405WmnnVYa3yRykH11COH4fGvSSUwjAQlIQAISkIAEJCABCUhAAhKQQBMCCu5NKI3vNDigOProo3fccceqZmBIXuNPJuT685//XCXKE49PmKrC6+OxQf7+979fKvYdccQRpXlxAF0az16UaJGlh5pEYnT81a9+tTTljTfeWBofI//973/HcBqoMplP04xhGOUXm+iqRQ/1FaNTYRQ844wzliY78cQTu3fnUlpyaeTzzz9fGs9urjjPKT1UHwmZK6+8ctZZZ61PVn/02GOPfeGFF0rTsEXw+uuvX3qoPpJNXM8555xpppmmmOz+++9v4k9mSPrqsMHx+VbsUcZIQAISkIAEJCABCUhAAhKQgAQk0BkBBffOuI2PXAjZ7JKKmP61r32tqsavvvrqtttuW3U0jUe1L3WuglR9xRVXfOUrX0kTNwnPMMMMl1122fve975i4uuvv/6uu+4qxhNz4YUX/u1vfyseQrvHMc6HPvSh4qGWMa9//esxZy6Vj7Gebim4l1ric9LFF1+85anHNsEnPvGJH//4x+95z3vaqgauhC666KKq1uHzB+dFbRXYZWK05tIS5ptvvi233LL0UE3kpEmT2Dygs46UFsuKkEMPPTSNScPMJ22yySZpTMswSwpQ2+eff/7SlLvvvntpfBY5JH11COH4fMu6ij8lIAEJSEACEpCABCQgAQlIQAIS6IyAgntn3PqVC9fM7+7u78Mf/jBKKB660Y/YDPCUU06Ze+65a6q71157lW6IWsyCuW6ps3VSvvnNb8Ynw0knnTTXXHMVM5bGfPazn8WyfsEFFyweZQ5gjz32KMaHGGxRTz/99NKjc8wxx7XXXouXmze84Q2lCUoj55xzzksvvfRLX/pS6VEA4k2+9FCMfPHFF2M4DaCodmz7n5bT1/ACCyxwyy23YHPNrEOTE33+85+/+eabq1y3U8IOO+zANWpSVK/SMNFSVRROb+gPDe3cMWw/5JBDKO29731vVYEhHocz9QnCUe7BO++8szQlk2HI8bidaVjUMsssc9NNN33yk58sLQ3/S1dddVXpoSxyePrqsMHx+ZZ1FX9KQAISkIAEJCABCUhAAhKQgAQk0BmBTvwtdHYmc0UC2GI//fTT8ecYBvAo0q5rCxzIrLXWWlV1xmEFFuiXX375ddddV2oOj5Xu5z73uXXXXbdGsUUkZWPJqlMQj6sW7N9rtsT83e9+R9Muvvhikv3zn/8sLYq5jaWXXhqdHdf2VVozvko+9rGPtZSP8T3y61//uvQsRHKtUTn/+te/YpjPv2Fby2OOOabUGX1VIR3ETzvttM8880wxI0BKdxl9/PHHTz31VKTb0rZw4ZZbbjl0+UUXXbRYZoxhLmTzzTePP6sCXN9iMjpP6V6gVYWk8VWTNyHNHXfcAXC6Zal9Nzo7jVpttdXYS6Dh1rv/+c9/ll122VtvvTWtQ2kYS3kmgWp2SaVKbDB75plnIs3j3DwrZOaZZ6aXbrrppqxFyA7Fn5TA0YaPlN72Vab0mOWKNQkBVj+ss846WWTpz2GDQyV9vpVeqRGLZLfnKVOmjFijbI4EJCABCUhgDAk0tG7poIaYRj322GMdZDSLBCQgAQlIoCWB/r2/OLWCe0v+vU8wJII7vkTwWo45eVstxHk3knqVpW0sCunwN7/5Dd5FcMmCYI3XaVr9gQ98oKXtMNbT2FAjaMaiSgN4sMGmvvRQGknrHn744d/+9rcvvfQSuiSW79QEjyjUpKWHbpqAE3B8eacFVoUfeeQRtNGqo8X49dZb7/zzzy/G9zCmSnA//PDDWV5Qs6Eo0wxo7s8++yzEkOYRwcHFX8sn0W233bb88sv//e9/b9mKngvuzOK05ImgT7v4ZKcz0MHokDQNvXi22WarqjCTRkwhbL311sUETJz89Kc/BRGqMSpt1aoLMtKfzz777KpJnVgyszKsNfn973/PrAyO9XG4xJ4EpQ6XYhYC9HB6aUPz9pCxh321S8Gd+gwbHJ9vae8a1bCC+6heWdslAQlIQAJjRaDlMKHjiim4d4zOjBKQgAQk0JJA/95fnHrqlqc3wUgSwKL2G9/4RrtqOyjQGRG78cFS7yyFXhtU2rboYTKMM5yWajtlnnvuuXjobul9HoPleV77a6saITFOsRuq7aTHqrddl9wdVKknWTC0X3vttXFTXrWnK77sS93Z158d7ZW1Ak3U9vpyOjuK4sxuukwk1GRH8m6rM7Dv68orr4yHp1LBHWWW2YVwutJdf2NN8FGz4YYbsjlwveaO+l/lFj8WlQWYE8L4vS21nRKGqq8OGxyfb1kf86cEJCABCUhAAhKQgAQkIAEJSEAC7RLQh3u7xMZ9evTWbbbZBnW4A7U9NB6rXpxvtDQobpcUXkEotsrHdLE0vM8fdNBBxfjuYzCF3n777Y888sjmRZ1wwglVvmuaFzKwlI8++ugKK6yAJXuvzsjGvBSIF+xeFdhBOYjaDXcjaFI4ZuCf/vSn7777biYSmqSvT4ODI4xq2Sm0PllbR+mlzASwjWpbuUg8bH11qODAx+dbuz3K9BKQgAQkIAEJSEACEpCABCQgAQmkBBTcUxqjH8aN9WKLLXbiiSd22VQ0KZyioEr3xKKZXUnZrBJrYoptq2L7778/5vZPPvlkW7nqE99///1oxzgJqU+WHcVXSc1Gr1niYfiJNr3UUkt170ee5QjHHnssrvCxBx/bdlEBJmwefPDB7quBf2c8pzMtQVH0rp7o+FdccQVl4k2+++pRArsUwJxtijsobQj76vDACTx9vnXQr8wiAQlIQAISkIAEJCABCUhAAhKQQCCg4D4hesLLL7981llnsU8pTttxrd6rNqNKs6co3mmaOIGpOukvf/lLKrbPPvt0ZiGOSwp2jMQvediMtOosTeIxrt9hhx0mTZp00003NUmfpWFbTjYC7aHZeFZ+z38+9dRT7IO68847l25v2+R0yMeUsOOOOzJl0iR9v9Pgd57dBY4++uiOOyQm7SuttBJ+WtKdcuu38G3eKLYTQHNnfQl7GzTPlaWknzPDQZ+//vrrs0PNfw5hXx0eOBGjz7eIwoAEJCABCUhAAhKQgAQkIAEJSEACzQm4aWpzVj1L2e9NU/EVg4Umot7jjz+OgIgV83XXXde9Hl3T/rnnnnvdddddbbXVcHhdkyw9hGk8m6/i2BrBPY3vOMxWqFi7452cOYC2CgHXT37yE7a1vOyyy7o32Me1Nxt4oqviYp4NOdn68i1veUvRx/cYbpp6wAEHHHjggSkituj82te+ts4661DnNL4qHIhx7ZjtqEpTH9/zTVOz0y2wwAKbbbYZHRL42aHSn0wY4An91FNPrfLaz4RQqSf3UBrebNpy7cJWtGu99rfIIos036MDq3ZM78FOoLQV7UZ231e73zS1WOchgZNWzOdbSmMEwm6aOgIX0SZIQAISkMBQEWj+Qdtutd00tV1ippeABCQggeYE+vf+og4K7s0vhClbEKCn4q+GzVQ/+tGPzj///LPOOuv0008fteaXXnoJH9+46bjlllsQ2fm3ty6tY+X4LFtooYWQ3fmXMHVIq8HEA+fF/QiuY+655x4mJG6//fYxd4cSK9/DwLTTTvvMM88UCywK7jENwuIyyyyDjT8B9rx9wxveEA9huc/aiHvvvffGG29k/qZjo/hY4AACzGwtu+yydMiPf/zjNIefiLnhvGw3ChwctSMZ44Aea/GWDughwz7DSyyxBPMTFIIRPZ0ZGkjtlNBZc97znvfg2AfZnakO+urMM8+cPu65ZZ5++mmc5Nx5550w59/OzjJOcw0bHJ9v47QjFaut4F5kYowEJCABCUigGwLpF2w35RTzKrgXmRgjAQlIQAK9ItC/9xc1VHDv1WWynHICqJOonHhr6djLR3m5bcaGaiC1d7xVbJsnHPvkHQjuWaUxD6cQpihYMDG2ly+rWMc/Q4vYN7jd3QLSM0433XSvf/3rUcPZtjSN7z7Ms36aaaahkvRSKtnXVSnd13bAJQwnHJ9vA+4GPTmdgntPMFqIBCQgAQlIIBLon2Ch4B4hG5CABCQggZ4T6N/7i6pO3fPqWqAEUgK4j09/jlV4SKoxVs3v7Lxovvx1lnc4c/WkRUjtfWoddvfMBHQzGdCnig1DscMJZ0geLENSjWHoJ9ZBAhKQgAQkIAEJSEACEpCABCQw5gTcNHXML4EVkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggVEgoOA+ClfRNkhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkMCYE1BwH/NLYAUkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhgFAgouI/CVbQNEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkMOYEFNzH/BJYAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEhgFAgruo3AVbYMEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQmMOYGpx7wGVkACEpCABCQgAQlMEAK/+93vnn322Zdffvktb3nLDDPMMOecc041ldYPE+Ti20wJSEACEpCABCQgAQlIYEIQUHCfEJfZRkpAAhKQgAQkMIYEnn/++TPOOOOKK674wx/+kFZjmmmmWXLJJSdPnrzgggum8RM2/Mgjj+yxxx7vfOc7v/vd7zaBcPfddx988MGzzz47/zZJ32WaAZ+uy9oecsghd95550YbbbTMMst0WRTZf/Ob35xzzjlcoFdffXWeeebZaaedui+zYQmXXHLJ2WefzZ2y+eabN8wyqsm4CrvttlvzG6R/HC6//PIpU6akF6Xdm7d/dbNkCUhAAhKQgAQkMOYEFNzH/BJYAQlIQAISkIAERpnAzTffvPPOO//5z3+mkTPPPPP73//+6aab7u9///vjjz/+5JNPXvXa30orrUSaN73pTRmIhx56CBnrve9970c+8pHsUJ9+Uts//elPCy200KyzztqnU9QU+9e//vWBBx6YccYZszRVtWKtAOn/8Y9/ZOm7/Dng03VZ26rs9C7gvPDCC1UJmsffe++9CPeB8+te9zp6b/O83adkmoqGsBwkLYrIW265hVvpU5/6VBo/2uG//e1voCjeIINvdfGiVN28A6jbf//7X6YzOdFnP/vZN77xjQM4o6eQgAQkIAEJSEAC9QQU3Ov5eFQCEpCABCQgAQl0TuC+++7beuutUSoXXXTRrbbaat55503LQnM/8cQTkYouvvhiXM0cddRRb3jDG9IEV1999UknnbT66qsPTHD/3ve+hx33t7/97TER3NO2p+EB12rAp0tbOpzhY489lj78mc98BsP2d73rXS+99NKY15OJKGy9mb6aUIL7mGMfzgr8+9//pjNQt0mTJim4D+c1slYSkIAEJCCBiUZAwX2iXXHbKwEJSEACEpDAgAj85z//2XvvvVEqP/e5zx144IFFd+0Y7e6///4f//jH991331/84he4nVl//fUHVLmhPA1iLrML008//VDWboJWim6Maxoav80223CBCGBXPkFZ2OxqAt681Ww8IgEJSEACEpDAhCOg4D7hLrkNloAEJCABCUhgMATuuOMO7HCnnnrqHXfcsai2xzqsuuqqv/rVry644IJTTz113XXXff3rXx8PTbTAu9/9blzrTLRWD3l78YbEpBGeZGaZZZYhr6rVG0MC3rxjCN9TS0ACEpCABCQwbASmGrYKWR8JSEACEpCABCQwGgTwzUJDPvzhD88wwwz1LUJnJwHKJi5o6lN6VAIDJvCvf/2LMyK410waDbhKnk4CEpCABCQgAQlIQALDTEAL92G+OtZNAhKQgAQkIIFxTOAvf/kLtZ9mmmlatoFtUd/+9re/+OKLv//97z/60Y8+99xzzz//PLnYmZB/2fcSE/hQCPI9JvNpgexxev3117O9KsnYPPBtb3vbBz/4wWWWWSZ4/0hThmKxU37nO98Z4olhVoCMCy+8MHseEsmujPz729/+NpzxzW9+8wc+8IG0kCzMzpx49OZc7AebHQo/H3744X/+85+csco++tFHH2UTTlzGMy3B2X/zm9/gyP5DH/oQ2R977LG2aoUhNnvQPvjgg9Cbdtpp8diz5JJL1tc/rfMATsfFuu6668LFeutb38p150rNMcccaTXaCnOZbrjhht/97nfI4jBccMEFl1hiiZbKOF5iuO433XQTOweQkcv3iU98YvHFF0/9X+MXG5JUhjqHKsVOiC3zO97xjljPdnsgF7pmh4Cnn36amafQH+IpYoBtcp944gl+hn/pWrFWs88+e+aMiPUlN954I5f1lVdeectb3kJ/WGqppZr3h3hSAtxZLFi5/fbbqR69lPuCGrK3MHszMBWRpbz//vuJibcqnG+77TauER2bXNxr/KVZsjA3FHc0c2+A5Xameyy33HJdbpTa/BqllaHO1157LQCpEhXgrmRXUkimaWI4u3mJDxer/hlCxXjoceG4fLGoEODp97Of/YybhQcjDz16HbRTdFyUgJr+HLL8+te/5rYiXN/HshP5UwKdEeDhSe+lD3OD8MZ5z3veU/Ue7Kx8c0lAAhKQwLgm8L8GbOO6JVZeAhJICfAJOGXKlDQmhO+9995ipDESkIAEJNAPAkGUREFGu2zpKOa888579dVXg2J41lln/eAHP4hVYutU/sJPAlFJ51F/9NFHn3nmmWSMiUOAXU+//vWvb7rppmk8XmvYDvRb3/rW1772tT/+8Y8HHXTQT37yE0Qr0rApa2pcf+SRR4aMKMIXXXRRWkgWvuyyy9j3dbHFFjvuuOOyQ/xEhpg8eTLNr0qASLfmmmsim55++uloZKjz1A1pD92c7HvssUfzWqFR7rXXXkwepNU44ogjVlxxRTZUTKXkNEEa7uvpgACoU045hcamJ6WGK6+88nbbbYdek8a3DDPVsd9++916661ZSoRL4hdYYIEsPv5Ewdxnn32CUhkj2T8ALXjXXXdFrw+RTHWsvfbaMQGaZvy5++674weJQ+32wNCxcdNf4zjou9/9LlcfIGuttVY8ewwwT7DFFlvEn8jfsVZsk/D5z38+HGIigTaidMeUIUDhK6ywAv2hSjXO0oefdEK6FjNDxaNzzTXXwQcfzN6t8RDXN1Tppz/9KVNuO+ywAypwPEqAbsDtdsghh5ROQfHxxq3EDEGahfsR4DBJIxuG271GoViu/uGHH37++eeH50M816GHHsoDJFz9GBkC2c1LZLhYwKGcLHH8ySPogAMOWHrppTldjIQhTT7nnHO4a2IkAXaQnm+++bjQQZ2PqGOa+MRbbbXVwjaq8ZABCfSQADN5l1xyCU8YZpXSYplaXnbZZXnr8epM44th8vL2ZE6LGbsvfelLq6yySjGNMRIYjwS4Nc4++2zMHTbffPMm9ScxWZhX5vOvSXrTSGAcEVBwH0cXy6pKoA0CDELiqKONbCaVgAQkIIHeEQjGmEjbp512WsvdUKPVOef/2Mc+xmOcAIoVBrwYlmKAHOqVCoW77LLLNddcg0ZP4Zgno1OjvCNBIsqfe+65aOskLh3AYNi+0UYbodhiCj333HOTcZFFFgkSLXkxD2ekFMyuEcHreXzmM59BQMTyF4WuaMvPTrBBMiMB2npa+VAsCWgpVoFIkMUToZ82rBWy3fbbbz/PPPMgStIi7IIx0r/88st/+MMfXnrppVgWoxEXy89i+nc6ICAxw5aa4D6ITXRRt7HjpvlI8ExpMCuDzFoEmNUw/kT83XjjjbGsRM3kEmPYTl4uHDIQ0vmGG24Yp0xilhC46667vvGNb3CxoERG8GI7jAkzkzHI3FtttRVqJtUjMVVlLoQAicOkS/hJDCpzKK3jHhiyd/AvZs6hGs888wyKNhf6C1/4QigHA/YQYNKFpqG5I86ifWNpzmQGwhZTMij+V1xxBQmOOeaYzDK9qjKo7dwsLMLgpvjKV77CzfimN72Ja4cFA5suYETP5xaCcnEjWXogqLHvZrNZHgUzzTQT56UOqMaUueWWW6KtZ/NAzIGhMjM5t8Yaayy//PIYzHLXIGRfeOGF9OTHH3+cXFX1rIrv4Boh9yOU3HPPPeHZwhwMTyfMzOk8TO+xwzM9jXZVnbHLeCT+bbfdlnUbPBbWWWcdHn2cHWt3HoYnn3wyz0O6N9eRRxOgQmcgCzGcF52dq0OAO6LLaphdAqUEeJIwo3nzzTeHozyBubW5/XkaP/XUU7xbuYV5/3ILMzWV3eCxQO4jptzCTx5E8847bwgzG8ojBbG+9IUYsxsYXwToLXQPVkTx3h9AzXla3nLLLfTJT33qUwM4XfEUVOCBBx6Ib+SQoKZWvKxJP//88xeLMkYCEpCABCQgAQlIQAISGB8EUGeQZgb5h0CG9MMfQjDGyAjibZ0dg1zyYgFazIXayCFcZDDILx69+OKLOTpp0iSEwngUSZdIbOcR6Bn7UTi6YTwaAkG9RXvN4mt+onhSbDCWz5JhM86hT3/60/yLK5XsKD/33ntvDmGPHw6hqfETtxVZyqpaocqRHmmSLPvvvz+6dpYRGY4ETGCUUsoSx589Px0aK9Vg9IvSGs8SAlwCTLk5CorsUNVPrinmkGTZeuutma7IkjGwR+vBjhtFnjTBSDmeC+tLIrkuxa5InwEUXjuYiUnLRNomCx0mjSTcQQ/EnJ+iSvtzLByTcNIwbRBjAj1mLGIMASQMkmFqnUaGMFbYHMIQvthGJjbQzTnavIdjj0961LHiiZiKoAIcZc4pHuXqEMMfvQi9GJ06HgoB1hYgIpMA4OmhcM+yFoQHRRofwlxHsoT7pXiDFNOHmA6uERmZneJcWN2ig2QlYy9P5/n4xz8e0qQXpXjzhtuz9BrFYplI4FxIkzGGBwUxtJH5iRgZAswE8AznaNaFqBWR/NH5syz+HAyB/n0BINsNpglNzsJqlfAI5d3Kc6l4g3B3h1uD3shsH2tcisXyiGASiwSUQJfmMcVSsJCs5o1fLMeY8UKg6ouiT/WveTn26YxZse2+spt8GGSn8KcEekigf+8vSp6qr6VbuAQkIAEJSEACEpjIBFCBsT2HAKbo2MniOQEJHsNYhNfMW0K7lFiBSxaG9LPNNlsxL2IZdusIgtHDdUyDjS3SGA4cUCSDB5t4qLMAejoZKbaYnVXzGFBj58shjK+zBHwu//znPycSM/nsUFs/8aKLjeFOO+1U9F3+1a9+FVN9TlRavbbOEhO3ezpEQFYbkB27SGyuYzkhwCX4zne+gzEaVsyYN2ZHS3+y/hqbdLxqYI2OHXqWBkdGqDYIPb/85S+zQyeccAJWZli1IwkVfRzRZ7C+xw9+6twjKyH92XEPTAvpRzi42UEoL7bxfe97H9oHJ73yyiubnJorgsSGgXzqxyZmZMVGsLAuoiYNlulI/9jgx/QhwDoMUBNGWY6HwE434CfzDXE5SzxKANmaq0MnSSNbhju4RjyaWBTCbUt9uK2yUxC/5557YpBLmuxQr36Gy8csGttaZGWyjIOFLET+6Ec/4qbOjvpTAn0lwNQjqyt4hLJohjtxgw02KN4g3N04szr++ON5OHArsWYIPT2rFXtjoLNj7EwJdGkeU2HjgSyZPyUwTglwF/D+DZ++47QJVlsCvSKg4N4rkpYjAQlIQAISkIAEcgIIqcceeyzSFYaraFX4e8XqE3MeTF+xd0aJxpIX4+s8W4PfQZwt1eZC7rB4GXUgK4y9H7Fw7+Fa4yCX065MAqOGnB2jaYxVkcJJkNWEyQAS4BoCW7/sULs/mcwoqu2hkOCUnHX67ZZZk76t0+GtBTt0LMc/+clPlpaJakN/4BB+/EsTZJEYBROz2WabBe8Z2VF+MteCOJvFY1aJDTWR2MXTFbOj4SftQvphp0ocI5QmSCM77oFpIf0II15TLO0tLRwVAC8QRRWsNHFoI+4dqjyo4OKGjMW7jEgk8qIeF84S+mTqFP7HP/4xax1wJYFD/5Cm+C++a9oV5jq4RqF3MSVQtbssNxpdqFi9XsXUXz7cDuDVh30sWDrQqzNajgRaEmATC3YFYCKT+4KZy6pbO5TD0x6nVTxm8cKEtW9WeHi6hkdHdsifEhgBArxkWfzE9jkj0BabIIEuCSi4dwnQ7BKQgAQkIAEJSKAFgWWWWQZ3Ltdeey22w/gPwT4Ot62Yn2MAfthhh6FtbbLJJu1uao2jWKy2g4vz4ukxn8cQm3icLWRHsYkORr5ZfMc/qQMKL67qM2v6oLDjwYNZh49+9KPUB7vs9CzBvB04VVp5mrgmjK7BfEZVgjDxwJr9qgTtxrd7Oq4ypwhGzVXnYrswDkW/wFXJiH/iiSdwIozUHhYWVKUsng6X3Mz3YBdfM72BKTezAkhLpSbb2bk67oFZOT3/iSBLmawqKNVkWWSAe5ajjjqqyXlx689dVmPyH2bLincZhVfNr3Ao9EnEu1gHvPkTxqy7xrM8NrPMXcUsTQIdXKNQE1wS1ZTPLFrYtrQmTceHwuVjP8nseRIKxByYRnEFw5bUHZ/FjBJoiwCLKtiJhIc/q9aarAzjHsEcnlPgw409D9JzhcdFcf1NmsawBCQgAQmMAIFy85YRaJhNkIAEJCABCUhAAkNFAOtUXMrwR63Qf7F9u+2223Argcts9E1MknFb8fWvf71hnVGxS1Oi42M5i+/ybJAfE6OPV+WNadoKIBEimmMYizSZbvUWfMgE2ZF/77zzTmLw6RELx5KacJf+ZCgBub/K1pujwTa5oUVzrFtNoN3TsRsYpeEDvaZM/N5QT7bZxMy56IQkzRhKY86mpsmkZ8PJWWaZBR8IMS/OhQnXV4MElIy7FRJ/8YtfjHlLA1W9qGUPLC2th5Es4OC24i7AWhyfS4jUWI53Vj57HpZue8icBGxZLBKcBZUWXurrKaQs9slwdarmz2L5TFy15VWm3WuEqT7PDSbAir6PYh1CgJp0tjQnK6f4k46H0y3uhfXWW48ryBYRYOlyTq54FmMk0BYBdj4n/UorrcQTsmFGPMYwM8QNxb8sT+Glz7uevGxszr94lYlTSjzzefITGdbKsHtBPMTpUPnTM7J5Mq9OZl6ZQGXaCfcdfFQU/S+x4Cw8VWIJTP3yycF8LZPuzPmxkzN/acn14WKBxfQsT2ExGRUuUmL/Z6bYMSygjTw/2QmZZwhfDqUP2FAyq5SYhOYxy3Q+ZfJGY20QT4PirCRM4MnSpbgxO9XAdQ9TyJwi1pNTg451P8zFUiCLDFiL0BaEWFST5mBhwNuQLCTmX55p4bLy/M/WD8GWZjKjQ98gMQm4QLysqV6xsRTCbA3bnofK8G3DbDr9gTdO2HedMIdYVxd7EfOj9bNEsMJKg++Q0lcGU0S4VqPMqgTUIaymYkN1vkzgzPYG9En2/aaXhvo0rxVe+NjbHHrcMhRCS+nhLIUM7W3rXzokn53w4TYECB/h7AnBBgwf/OAH2yrHxBLomMD/enx3XIoZJSABCUhAAhKQgASaE2BUgwbNH84ZGFKyJSOji6OPPppRVr1taXYKhhCM0/DJjsNoBvOMpRl2koYRNUNxxu1Zen4ixRYju4xBNA+C++abbx6KYqTEIIcBbVDYaSk2xYx8EEBDApbVM0KDQ2fD3bTCcYydRvYv3NbpGG8H3ybbbLNNfZXClADKQr3gHq5pk4uYCe4MYqkAlyC4Ha+qTLAKD7pPVZo0voMemGbvR5jxObuY7rvvvmguOHbgjzkSXJHwx26f/NvBSbmzmBVDwGLbVTQRRu9oRpRT41mirX7S8LJyTTuofPNrFKpBDwxTAjXn6qwmNQXGQ3A7+eST2Z+AWROcLPGHasZMHn8odKxlKe5bEPMakEA/CKA2Bj2RTUGal09H/fKXv8ziNpZrILgjdqdvAcTQ+DbE/RSex2LJV7/2F34SxIFSCPMMZ4Nx3E/FlCFw8MEH42EscyPGXR/KZ+dkFtOwOUTQTGNeHpLcU3x7NLyX0wKr1pfwnOSkyJph+Vo8F6078sgj0zU9HMIsgKaxETQCaEwZAzScxmZvIurM0gG2kcjmUNkfBbUaB33MFAKWVQhhZpoHfhDcqTwVYHFMtncODn/IwtOmrSU7DZvD/tL48Y8togIhTOUvuuiiGE+avfbaK/UwFg+hX3NxmUiIMQQgzPM5rIdDmMZFIe8j4lkgle5NwnsqdjAayGqttJAsDGpMIqpsPlj2xG4EZMELYli3kWXnK5Rlmlx3OhuH2DuEjWSoD7tb83Wa7oDSslb4a+KicL3SU1A9dj9ieWga2TLMRiO4cywudIMYvYK9Fqhwy0JMIIEuCSi4dwnQ7BKQgAQkIAEJSKArAvi7ZKCIbTtGRmjuDQV3BiTszHbuuediQMTpGdtjfMTAlbEcwzNUbDYRZQharFmNQVkxccMYhrWIdEgSyOhBgmSExsgWnT2UwLiRuQTqg/VWECLDLqYYLmXmew3POF6SBdM2atvSiTyGbFzEYBBX07pQYEs9lBIywTdkRFENppQ1p6AawY92TRoOddwD64vtyVGsIFFzbrnlFsb//ItpIQH+KJzbBNlrqaWWangi9AIG7cwehfQYZnJ/sQUCNxp7h2L6h9DQsKiaZA0va3ZNawoMh9q9Rg2rQeHt1qRlVdMEPENw48PzkL2m8UzFvcNF5I80PGcQFlnEUDT8TEswLIEeEkArpzTmj3mRtVUsU9EI7jx/WA6CAXKY7GRyHbWUSdO4ugvNNzzSedqgF+NVKe7OEm805mLZY4O8PILo/7zrsVlmnQ33yJlnnsn9gtO2HXfcsVg9zo5OSvk89/gw4ObiLcD7F1kTqRcdc8qUKf34Kog1OeWUU5hupwJsVbLsssui7/PRgr7MQhYa+81vfhNEsb0hFy1iJoAw6VdbbTXswXnSUlvWGaAL0/zvf//7mQwdMnKlaBGT3HDDyj74T8N+fNttt+VJAnPqwLlgiJQPbeb2qAMiMu+LhjbUzZuDxh0WLTF5gCaOez3ePtQzPRGN4rJSYY5+5Stf4dJjIc47mqUA8OHRx1QNKyRKDc9JgHZMgeGtxPsoTITQK3jZ8ahkeVDAgll3CFT9S1cELNMkpYss4wY8BEoF97BakbcqHw/ZKbhrQrdvUisuOpced3lcdOrMxyGmJKeffjoPf3YghxsiflZ+1U8mVw466CCWRrF9K7mwtSfMVaAoriAOHvEyz6xAVXbjJdArAgruvSJpORKQgAQkIAEJSOD/EQj+2RlkMpr9f7EVIRYCMyBk3MWYmcXRLUdHFBMGkAxI1lhjDQal2H4WhzoVZ+t9NAucGWth1sSAjZESJ8CSmn8ZQ8aTEWZ64NZbbw37tYYRWr0j8ph3/AbCEm/qz0i1J6IG1r6UFtYx1GPJ0oSa4L4fPaI+Y8OjfeqBTbT+JjXk1sD/AH8kxjIU/QITdYxDWQjyrW99i8pH67+a0jDcQ+9A60FoIz0L/DNr0KDE1ZTQ8BCmdqhg2SUr5m2ZIMvS7jXquHdl523+s+Zys1KBP6wjmQZgbQGo0a3Q6VBJUKnQX/Qz05yzKbshwNOD7Lxk2y0EUZhbG32Z2SN8W22//faUcPnllyO4M2MXfoYyw0Q7M+7ov8jE6aGQAHNp1HYcyLBkJxqYo7Qi1iPsMu139tlns3ynOGHPncK5uGtQYENRCJdI2CwWYe4KSRf39MU9P0LK7v/Fvph945keQ1WP24cg+kMGIFhA81WA/TWacjwX3vaoMz9p8iqrrBLjkW751MGYHbda8KG92TdPMOTnowtrAzjEo8wu8P5lnRNZou8djOt5vLCxJ99dPF5wDoYCG89VFWirOdEim2uK1Avk4iYcrMRCbSfldtttF0/K9eUjkMby0mFNFdpxUeZGOEZtR6AnY7ZMEHMHBHf6RrEXxVNkAb7EYM68Mq+h2LtiGj7nuIKg40YActE7TVjQECeQYkYCrHEM1WhZKxYl8AeQ1J0dXQWTFC4oD396PrvdNHnsQzvsvEKjUp9CMOGi8wnKUhW6BD0t9sm0zoYl0EMCU/WwLIuSgAQkIAEJSEACEogEGCkxkAseRWJkVSB6umCoUJUmxocBJCN5BpAMRbDYimPLmKaHXstjmTUBBoccDXbrBJhvwFArHQcGa/cgxMME5R0bNIZSNWWOwCHayB8NwaVpT5qDakA5TdxnB3/B8aQMNQljZRZjugn0rwdmPgS6qWTMi8DEhBDDfhbgY+9GPFIFhp8xQVWA4TpqOw4fkDxw35yp7eTq1V0WvEa0vKzBDW5VbbP4Dq5R6F1IKvxlpWU/26pJljf92eRycwexhgZJEfcy+AFA+sE+kUuZlmNYAv0jEF7KGMm2ewr6atjLoeWtXV8y7pV4pWLmzIOrqIdiyo0MTQnswc7zKisKG2GeY1Ftj0fR7oPOTuExsucBNE0ekhhflyqbuNRjko8vpdTdDYbJ2KQzGZCq7aFiiK277rorMx9kQanPaovZO2o7BtE8q9MvIj42SImZc1TbY0bmoYMczKwDJ43xVYEOmlNVFPEsCqThEEidrsT0PPeCbXjpHuYsGuDDjy1506+smLfdAAsQ6Q8QCF9oaXZMQHhX4n0IPR1Haujm6VHCzAPRvSHf5eccav7kyZNTtT2ciIvOzDG3EtVouVIwZLnqqquYymVKKVXbY7WZAwimHqVgYzIDEugJAQX3nmC0EAlIQAISkIAEJPC/CERtLjqj+F+HCz9weh7imriVZOxNYnYUzLbeSkvtlbSallkTxviXcSMDGMY5DCNRKBgHpht7hp9YFVEIxlkkQ4JPE9QUPq4PoTVQf9Zr17QCTzIM+/kLPj1qUjLu5ShyQ9EzaZoLQ+AsQagGekGarBi++OKLsZhjsULxUBrTWQ8MIkhREool4wKl4Yg6ZskC2EFjL5k6RE4TsMgArwsYV+LvKHTF9GgWBiAGd4zzsYivsqpjSUqWq7Of4bKW+oBKC2yZIE3cwTXCdDH4Mq4/EfTq+3OoRsvLTTJsP9M645OKy4eqmEamYSxS8YtNTFgikx4yLIE+EQjzT0XNusnpQq7g+a1J+tI0TPgRjwaNwW9pAhaQLbLIIizlCY6z0jTMF1blCguASr2HpyV0E+ZFT/aq9xqaMjIuD2Ru/HAW3lB8PzC1sPHGG5eel+V0eKHhUFFwZ0ES9tHF3apDHapMH7B1wE6cKc/sjVl69nabU1pIjKSlhHn4o1bHyDSAUT8/i7OStIUJdTybh+n8NEvH4WCfHm0mYjlxtWJYsFh8b4YsHK1qRSyqPsCVLXVoQy58AQVvTg0/DwJYpmmrzlgFtiq98RLomICCe8fozCgBCUhAAhKQgAQqCTCGxGiIw1hlViZKDmCzyS8E6Cb+ZIIb7qpRNOVgK9Qrk+qkjnVBpExGXIwD0dzDkCwMz2IeBmNo7myqhj1UEMtKFyDH9CMTCBzSTdKKTcMPL38YcLUcP3PRsWdE8WRDsGI5MaYoRiAroGKEzT9jsiyA/RpGgj/5yU+KloBZys56YCi2xrQctSgoGtnpmv/E6Qr79+IHtioL0jmmfBxtacQd2sgVgVtVaVy1qkNtxQc/S1hZVqlClIYm1ZYtamfXKNSkvrvysAp78Na3MVxuHkRVUyy0CI0sLQSDUy4fvonxbJDGp+EwddTy8qVZDEugGwI8b8leNetWXzIyYn2Clkd5JAbXVcw21STG2wZHw16aabK4k0oaGcLhE6WvtxJaNudihrjqQ4hNU/EnE78WwjQhC+aCe6tinYlh31TW4mB5nVkVoFxj1FzMEurA1rXZ9F5IyQViPoM6FJcOVBXVvDnFEtIYfAGhVgfnJ2l8DIeFEaXPT+Ydm1Q4FtUyEBYp0n+y08XPOWZ0+MzjAmVLAYLg3v3nHP7ua+a0Ql+Nhin1zcE7ELXCgV5VshqwVVmMl0BnBBTcO+NmLglIQAISkIAEJNCCAMtjSYHrSVyO1idl/Ba2b8LFZyq5hhF+Nv6hqDDQwvy2tFisybASLT3UMrLqjC0zkiCMuPDmGUyiiuP8MKhm/MZfEOibFEuabmrV8BRpst6ejmX7zKNgEXzllVemZ4lhrteJJ57Iz2C6G+OrAmGZOcp40fAtZKFjoG5kqwf4yZIIEuBeAEPy0sIxDH/66acZ2QbLx9I0IbKzHoj7VLKDolROpVb4+cWivOa88VC4RkWPLhi1YViNzWaVLT9iQXBf0NJBRNCLWXxQ5T4Fj/BBHoq16jiAzE19ULG5rFWFHHzwwW2Jd51dI1zucBbUiqJyFyqGrS67yGa9q7TOrNznNueyVhWFx+pMu2F9T3Culfp0zgoP1ovp5QudgWTFR2WW158S6IBA0AE7E6bDvFeNktiyPviE4UFHh8fOtyYxE7EcxYtdlqZo8R0TBJPk4lM0Jug+wEMgOC7ff//9cZzClGH9lGqo/0ILLVR/6tLGVr228FICPZ7k6623HtXg1cDUcn35VUfbbU5VOSGexyOzueknX4inekyNM0OAZ/mqEqoaW5W+ZTyO/jET4fGerl7i44Q5UfzRMUtNPXFiw+a94QkcCuSmgCfv3OL3XsszZglqOiop2+qrVBWwYYlVehZeEHwbBKuCNN6wBPpHQMG9f2wtWQISkIAEJCCBCU2AfZmC31L8DvPHCKqIgwEAFp1Y4mC5w6gmrJWOyYJpLfutxZgQCL4y0fuKfhWw+dpss80wHcVjKYnbdXkRzlgl5WfVyH6ipyPDYR+NFx1GbmHRbpomDMnOOOMMHM7QhLihaJqmNNxNrUoLrI/s7elwIP6Nb3yDM+61115hHUN6dq47LlyQubHCqzdgjLlIhqzMQJdi40r8eJTFDcQjthZ3z2N3OCQb5JttttmmaClG3Q455BDKwYNKS2G3sx6I710qQJ9nQigYjcZqY9mNVRpCfJgViPFVgXCN6N6Zdo9iGzz/srdB0VUC0hLmhBBATMere1XhIR6NjA0JCaPRINakiZGJmdLYbbfdcPJAPL4IqnwmpLlqwkjG7BBIgpNOOim4j0gTI1FRB8z/a0z20vQh3Nk1mmOOOcK6/h122KE4aUF/o3dhtN5ky1n0juAqF4E+u0zUEO/DrNIotmidddbhKEoTU5XFRhEZVm+k2zxCLzxMOntwFc9ijARSAmHuqrNFY+ERHUpIy2weDqtJ+Jep1pq/PffckzKLs7BFPbf5qXuSEjcvKN3sYs1MPE7b+U7g6cH0IdswhNmI9CyhscxA17SUQ8FTX9bYqgkJCJx88slLL700z3+e2+uvvz4TnOyGzYQf9gHtztK11Zy0aTVhPg5ZVMQWsmyOitk7awG/8IUv7L777kCrylXV2Kr0TeKLXmVYWsGMKeJ+mAgPn3AYTMTSCDM9wMKCmhUJMXF9oOcdldc0b4QpU6ZAki7Hywgjfcwa2Hw1bGlTXx+PSqAnBCrv4Z6UbiESkIAEJCABCUhgwhJAb+LLnj2+sOrCyJ0/rIQw8sUrCPIQCh3OVbD9DHZzWGCxC1bYOzESY+k0YcYMjFfJyMiH8SpSI8OeSZMmYV2LNsoYiREs4wcsjxgdsVsU5z3++OMx48WkGpNhdDqkzLgpayy8NMAZMW7FIwd+PxjRUc8tt9yyNGUxkvESGl/wehGM2bM0SPAI8ZjzE9/WAuRuapXVocnPnp+OwR4eVxnqo3Rz4Rj40QeQmFnhjuaIxMACecTuokFWaW0Z+uK8lWkVLvFqq62G+R7zOlwppjEY/cIf0Zm+RE/IstNzjjzySDIifKBrI1kiKDNHgmzNzE0w1kYA/dznPpdlLP7srAei47P7GUousimdn5pjVUdzUMa5O6g/7SpaaBbPTgy7F9BMzPGQvIMbAeYhWJPOIXoscgzTVMx4YVzJ7gLcHSg7nBHf9JwFWzkU/yYCAbcbugx77rEL3xprrMFJEReoLXNddGNAMUPGXUaZJKDPB9G8tMItI9ECeFYgrLNnIGUiu/BMoJNgTogyxTViBgUx+oQTTmhZVEjQ2TUiL96Tuf0vv/zyDTbYAD8DtAu5kBkaTB2pGA+uXXbZpcafVVo9bFqRtFgigMxBl+MhxlOCtlAOdpTMANFqlPc0C5eMKRP6A/0E4Yld77B8hAOaFC53wuwjxWZ7MHLP0quZAuHm4vrSsVNFPi3fsATaJcCLm9dow+1Y0sLp6jwciAlTd+mh5uEwmcct0NKBNW+QduXj5tXoOCWvGJ6TPD9xwMWL5r777uPFxx9bvlNhHnTc6TzMQ/mhsdzsLZc6kTckjhXDYDyGswDPK6ZaeXpQB96SkGQjGf5IxsQqLxFU+JZnDGW21ZysGsWfd999N/ORsWvxquIbifkA3oz4zuJqsll0MRcxNY0tTd8kkq8ypjp4YmMEENIHbZ1XSfhJgJkSnrRMDISY4E8muKNpcoqBpeFdz6xtMHPhyvLxicchHDbyx8Q/XyA1qwcGVklPNBEIKLhPhKtsGyUgAQlIQAISGBsCyKAM8xhknnXWWTg3RzrnL6sKHjxQ6xjyFQ18GCEw3MKjMaMy/si4+eabB9teHIMcdthhWEVhUc5fLBPNEdkOc2n2mPrFL36BoI89b/MF1IyKMZHG2Jk/ymTU11xwJz0DthrBnQQM2FAqsdtqaV8cW0Sgy1qlRTUJ9/x0jPe4KMx5YFKHrh2k7VATNGgUB2TobK6lvp5YzWOyx7QKyyOQLfgL6TkRgiOl0amKgjtpWImPwRd9Et0hEzrJgo5ZtIuvqklnPRA5FTs+8iJ5pHtjAge1HWGroeCO3IClIfI0iwOYyaCSWP0HwR3tBjtxUCPaIuzyF5uAKTR2jqg/jLpjZE2AMpkz22+//XD5SiCm5BTcmAjTFMiVpTkM7DNzy5i4eQBVmjuOqZd4v4e8zMcg5SNDZ4b2LUvu7BrRJ2GLKsF0HcIEf/FEaEBoMWFGKkbWBJgzYP0+trdMDtFjY0rkD64dnS04p47xIYBBIh2VjEx18JceRbKnlxbdKbDhMPyZnAj7/TIRpeCecjPcDQGeA2TnzcVtXly5VVNycKbEehpU1Jpk9Yf4iiABT0i+BOpTjvnRGncxbCPPxDN/rG3im4TVM3wX8YnClDOPu1NOOYWXGvUPjWXCOCzQ6W2LeHqEBwhKPS8aHj483JhAxaEf0wA8LXmeNzxjw+bUl8YUJhO6qOp8rUGGuWGKTbOUPh7TBL0N89TliY1xAFOkvIkoHG2dr7XoGZ+jONVheoD5Vz5EWTFAAt4XbX3O9bbOpaVxp4SvCz44eW/iCSd8NsfE6UstRhqQQD8INHKS2I8TW6YEJCABCUhAAhIYMAFWIqM2Dvik8XQMUVDbUe4IMFBhYInGyggHHw71plWMxxjnM5RFZJx99tkZ3sQyg1U7RxkoYhvFmDwMk2KCzgLsPIlrGmR6rIDb0hc6O13DXAOuVT9OB1IG9sgNeNjAUA62aJdBaGgIIUuGAouZHh0ABYGxOvbCDU2PMau//fbbcZKA4SR6EDIEWmpzuSFWo7MeSGfGwBkBi2qjJnP2sK9dLLZhgDXj2JBi585NAcxsyop4pBy0Ay4lVs+IBYjI3CYNC4/JOAvlYB1JgYzbORGcuXwxQc8D9BD6CdeIswCHTpLe9e2errNrxFmQxsJlYhUOdqDQq7lMqDAsj+BqFmd6wtJ+bFpZZ0Bn4xmFgtmys/GQDDcLuRB9KJkJyPrnGy0Nvmu4p7q5rdolbPr6V1g3fJgbY21KNyV0n5euyHIcnpas+WhrBpq5W6aa2BeBRWaxGqwdYSkGz5CijS3ThEwWZumRhtdaay0e7CysiYW0DPCMDToptvlVDm0Au+qqqzJ9iFFzTwrEIBo+DQvkjDwTttpqKx502Bzgco0YflKZML/YskoxAQbXvM6YGcUTS4xsGEDxZ0aQZxSzjFzlhrlKkxWbE5KxQpE3CDPKwZ19zMsXKd+EXAJmbUufh0xIsCKNJT5UMubidUCY5T5VXmVCLuZ4anbCiKVlASbjTzvtNJbisZqKVyfLknhWpzuLhAShLcwHsEqJeQLm/tNymFtlDgOvhkyux/iaWrHwjun/rNvHjCGw44478mZhupd7ITuU/cTDG5y5Z2v6Q7jRaF1wxJSV4M+JRqB/7y9IauE+0bqT7ZWABCQgAQlIYGwIINUxxuav3dOzdLpKZkI9XG655dotsGV6dHa8Z7RMNuAEA65VP07HoBor7GCI3RN6TNvgc6ODopAjs8F/B4WQpbMeiI6MGBT0oM7OG3IxTKqZEEL3wRS6aA3d7hk5Cw5MMh8m7RbSVvoPvvbXVpaaxJ1dIwpE5cc2kL+awrNDpQNXIpnO4S9LXP8Tkb1d7LSUv/piPSqBdgnQFdkCHZtZ1hJ95StfycyQq0pDEkVtp/O3lAirSgjxPAz4BsAXfL19PbNTqJZMK+IIq77Azo5Sh5CxxmsNinNWONCYVWVbiNKZYDztIKTyh7V7yMhTAsGdeb6wFUdWWvyJGxZo4Aempa8euDGHwVws/vdi9jSALzJW9bEzBHVoKbi325z0RFkYXRi1ne5BxUrVdtIznZzl6vdPVsghuOMoBsE98ycTTo3NOAm4Rnw/hKvWlnvAftef8pkGQG1norpm9mXwYAfQcE8xnASarpoZztpbKwlIQAISkIAEJCABCUhAAhIYWwLsMEEFskUGY1slzy6BXhFAZ8fQmBVFe++9N3Jey2Ixh8fbNcnIyCK2lulrEqB0h3l6PMjVJMO9GM7lsNSuSdPNIUTh4JeDDR5Ky+HURRt8FmBRseijvJgxzMOx7C8cCru/4PEsxhSzUAG2Xsd5HQv+ikezGOakqQA+Ror7NseUoQ5hN50YWRpotzmlhYTIsGEsD8zM20maBQ7pzwGEsQZgLREOf+AfBPdsPx4mQZnJxi0elxtdngmDzqb8+9eWALZ0gieclBkgPOH0rwKWLIGUgIJ7SsOwBCQgAQlIQAISkIAEJCABCbRHAP/pZGgigbVXrqklMAQE0G3ZaZk1H3jGYNPgGitvKovajqsNTJhxeN2WvXmwdC4WjrcNij399NPxr10KAydUbFaB+snuBaUJehKJ1TDlhP1digXi9uTxxx/P4oMr9hrfJuG5gWF+yIjbKHbyQBINPriz0sJP3JWg9rJn9fTTT1+aII1EHcbVHjHN65Bmz8LtNidkL72sONfiKFM4eG7JzhJ+MnuRbvdSmqY0MpyuybRQMXsQ0MnLVcbFPDu7ZIsdWe0BBJx34eCF3oifsYbbz3RTq2I9a2KCAyX6FS7RSpOxPCKI8qVHjZRAbwkouPeWp6VJQAISkIAEJCABCUhAAhKYEATw2ICShQR27LHH0uBll112QjTbRk48AmjBaO4Ijuy4+NWvfhXlvWhOjuf0c845h92P2awFw3ZcRbN7RHNUwdiZ7SKyLJ/61KfYl5L9NvDoXRS1iWEjaETSsOtylreHP4P/OhqI+5qsWDY3Bg67OGTxGPjjQAxW+P4uCqDME+ANnCz4cI8Zmc9AnL3gggvYpzrLwiYoIEWJhiobyMcs9QG8o5AAj/mlW2USiT8ZEjTZZrmD5lByuKw4kEnrya4YwR8O20dnu2HTr9gJHEf/6667LlmYuWEGIs1bHw6nw2tKjVF/TQnBRQzwWbSEA5liymDzjmzNoeb+ZLqsVbEaVTE4nWe7Iya96CrZHcodhGN3XljBy5OOZaoYGt9DAvpw7yFMi5KABCQgAQlIQAISkIAEJDBRCGDkiIQRWvv5z3++pRPkicLFdo4iAfxWo5PuvvvubPiM9o3zDTaiwHkFYiI7fyKyoywHbXThhRdGgG53R4GwHybKLNtsYk6O4omBfFAq99lnn2984xso3Vi7sx0lO1Vi340Ui9KNs3hSojO2ZU3fwfVBkkYIZj6AzWNxkM3uDtDAWBgHHdQBvzeI4PiRT0vGRBrhGGI4/sblN7nmmmsu9HR2Zb/55pvxSYIkiqoblOWQkYkN/PawmyV7deI3hkcKe9hgeQ1z9pt99NFHmfNgN048/KQnqglz1fAIf+GFF+6www5cF1ygkBftFS/wVDtMb2yxxRZNdunooDlUjMtKS88880yc4bDTKaslwta7XK9NN92UK8h8A/vrYkvOjAINZEaBxmLCzzwKCxeef/55EiBzs5dsTTPjIcrBrp8tvqEaNkrBT33znWPoSFxWZlIpMPMnE04RIkMCfL7H89YHuqxVfeHpUSq/ySabMAdMV8QFEJ2W9RNsnM69c8UVVzAJsdNOO4FlypQpHGXHWibPwgqStBDDEugVAQX3XpG0HAlIQAISkIAEJCABCUhAAhOIAPLZQQcdhIL2/ve/P3M+MIEo2NQJQwBZ+eKLL8aH+CWXXILCjh+VtOnowjjZwKS6ueVvmh2tGa0Qh+N3v/bHISTsILgjr59wwgns/4lQyKn5ixnZ3xtpdeONN477msZDvQ1Q/nHHHYcajg6OQ3n+QvnIu0jwaMdI4cUzopgzJ3HYYYexhWxYBxPTMGPB1AJaM756YiQBsqCJH3rooezCmvmWQThGN2+5V2paGmEU/w9/+MMo+Kjb/KVHmdhAbW++t3YHzaGB7MuKkxb+ODXzB0FwR9rGkJwJSzoSgVgreNINuKA8V3fddVc4MDfwhz/8ISaoD2Dfve+++2I4//TTTzNBQmJO1Fxw51osvfTSdHLKYX6ieC52XIc/lwbf9zWblmcZu6xVVlr9T3ojzvHpbMxd8RcTM1/CioqwXTzdlbUa+PNpa/VALMqABBoSeF3DdCaTgAQkIAEJSEAC453AmmuuyWB1vLfC+ktAAhKQgASGhwBCc58qM+eccz722GN9KrzLYvHlgoiMP2vsZ/EcjT07antwId1NyfhwR2DFOw0aJZsiZGI0ptm33XYbWiomzNhK4yYe0+wBb1bM2e+8804kYGqI+TCTENSkZZOx3UalBRd23FD60Ic+hGKLplyTET2UqQdWD2AIj69wVGPU6pr09YfwuoOZM35ssMpnbgC5nxmOjgtstzl0Euz6aTsTJKlOTdNoI4b2XFAmVzgET/zw1Lel5VGKxWUKZdJ/KHPAPaSqeoOsFUo6dwo3Kes/mCTgTuH27N+TqqrJxg8/gb72in69GocfqzWUgAQkIAEJSGCiEVBwn2hX3PZKQAISkEC/CfRPsBhmwb3fVC1fAhKQgAT6TaB/7y9qXjej2O+GWb4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIYGQIKLiPzKW0IRKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJDCWBBTcx5K+55aABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIGRIaDgPjKX0oZIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpDAWBJQcB9L+p5bAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAERoaAgvvIXEobIgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAmNJQMF9LOl7bglIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEhgZAgruI3MpbYgEJCABCUhAAsNF4Pzzz19zzTVPPPHE4apW/2tzyCGH0PBrr722/6ca8TO8+uqr9KKtt9563XXX3XDDDe+7774Rb7DNk4AEJCABCUhAAhKQwPgnMPX4b4ItkIAEJCABCUhAAsNI4Pnnn3/ggQc+/OEPD2Pl+lmnJ598koa/8MIL/TzJhCh7xx13/OlPf0pTX/e61/33v/+lR02IZttICUhAAhKQgAQkIAEJjGcCCu7j+epZdwlIQAISkIAEJCCBESVw9913o7a/+c1vZsXAoosuiuD+n//8Z0TbarMkIAEJSEACEpCABCQwOgQU3EfnWtoSCUhAAhKQgAQkIIGRIXDbbbfRls9+9rNLLrnkyDTKhkhAAhKQgAQkIAEJSGDkCejDfeQvsQ2UgAQkIAEJSEACEhh/BJ577jkq/e53v3v8Vd0aS0ACEpCABCQgAQlIYAITUHCfwBffpktAAhKQgAQkIAEJDCuBf/3rX1Tt9a9//bBW0HpJQAISkIAEJCABCUhAAiUEdClTAsUoCUhAAhKQgAQk0HMCf/vb36699locc7Ob6Fvf+tbZZ599qaWWev/7319zon/84x833njjPffcw26Z//znP8k155xzTpo06YMf/GBVLs7y85///N577/3DH/6Ay+93vvOdH/3oR5dZZpk3vvGNVVn+/ve/33zzzXfccccf//jHqaeeepZZZlliiSUWWGABNuqsykL8r371qxtuuOF3v/sduvCss8664IILkmuqqboy5vjzn/9M5e+//35qgu9yiqWx888/f7EmODQnGdVgT1rqTOCmm27CBwv1ecMb3kDGhV/7q6l/8dDjjz/+yiuvcEXe8pa3cPRPf/rTj3/84yeeeILr9fa3v50Tcb3gWcwYYwDO9aUmzz77LFje9a53feITn1h88cWL8DkRp5tuuunmmGOOkP3ll1++8847sWrnRKG9YddZLj2oSUO7PvShD8VzEaBL/PKXv7z11lu51gCZccYZP/7xj+Pt/U1velOaLISz1hH5yCOPPPjgg9NOOy3dI6vPSy+9RNsffvhhrsjMM8+8yCKLcHHTMu+7776f/exn0CZyttlm++QnP/mRj3wkTZCGm3djIACcS/+BD3yAEsh41VVXUUkgUE86P951wqG0/DScMvn3v//N9aL/LL300pSZJkvDnfX/tATDEpCABCQgAQlIQAISSAnUjaPSdIYlIAEJSEACEpDAeCew5pprTpkyZWCtOP7447/3ve+tvPLKe+6552WXXXbYYYe9+OKL2dnx0L3TTjvNMMMMWTw/L7300u985zvFLBxCId1nn33Q37NcF1xwwZFHHvmXv/wli0f53XvvvRGvs3h+Xn311d/+9rdRbLNDH/vYx6j2e9/73iyen08++eR+++2HzpsdYgqBeJT6LbfcEi1+9913X3XVVbM0VT9fffXVU0455eSTT0b9zNLMN998u+yyy7zzzpvGI8UutthixLCtKO3dYYcdfv3rX6cJCCMBs90o8wdZfNXPDTfc8Pbbbz/jjDPmnntuMJ599tnBxjymR/L+2te+tskmmwSJP8aHwEMPPcRFCdMA6SHU/1133TUTrJkb2GijjZCPv/vd79L2Y4899qyzzgpt/8xnPvOTn/wkLSGE0dNRn2P8Nddcc+ihh6Lsx5iYbOutt15++eWz+Ng6eKLg77///g888ABp0Oi///3vp/Whr3I0uxBcVpgw8YAEz+VgUiErnzPSx0CUxbfVjZle2mKLLZjzOP/886+//vq99torzDqkZa644oq77bZbcQ6DNFVM3va2t22//fZf+MIX0nJCuIP+XyzEGAlMcALFOdFeAWGa7bHHHutVaZbTJQHeibwEKYRvGyaMuyxtJLP/5je/Oeecc5jP5s0+zzzz8IE3es3k6+iSSy5ZbrnlQmcYvQbaoglFoH/vLzBq4T6h+pKNlYAEJCABCUhgDAgw+jrooIOwFN5uu+0wFsbqFtUS2+RTTz0VvY+B2YknnpiZTocsGIyvvvrqSJnvec97CGPne8sttyBMYym/8847o9WmjSH+qKOOwpJ3nXXWWXbZZRGasRd+9NFHOQsC6ze/+c3jjjsOg+s0y5lnnokkTQzpV1ttNWyHGU5jvHzaaadhbb3++usjxWY2+BS48cYbY/1NPGMtDNunmWYaKoZUilSNqossm56iSRir5B133PG6665Drg2Vx3E5NtdUmxry7wYbbIC4XLp36G9/+9tvfOMbtHqbbbbBqH2mmWZCokWrPemkk2gI0j9TLKXibFXFMBX/1re+xYQBZtFf+tKX5pprLhr4zDPPwJwGAgT1h6uZae533XUX1fjrX/+KWA8W5GkSkJIpEFTyrbba6sADD/zc5z5XPCnAmS2g7RxieoOGL7TQQnQVfv7iF79g6E5RwXg8VTeYmQhXnwvHjA4XjmqT+OKLL6ZHIYhjJ77pppsWT0cM2jpY0NMx5MeaniuYJqMEZG7mgZgs4RJTLJMQXFOWWaDjM4fEtYAwdcZyf/rpp6cnYOoOliuvvJJ5I3p4WloH3ThkZ8oBiRy1ggJBimLOhb788st/+MMfouDTT5jOSU9EODJhxiIwIRlM0O65BGj03A5rrLFGmquD/p9mNywBCUhgQhFgFVeYqUVNHkzDsQbgs4fX36c+9anBnLGbs7C4kKl0DAIoBBUvm7fupuShystMP92A1WMDqxWrMPnY4OsIC4aBnXS0T8TX3RVXXEEb+d5r6yOZLNiXMHLhk7VmaeNo07N1EpCABCQgAQlIQAI5ASzc+cQc2B8CN2omOixCMCI1CnJ2ahTAoFlvvvnm6SH8iuAYhLyYb6fxIYyGiGrPUTTxeBQNFDEds/Q0Mh7FYJn0SKgxhgApSU88onAaTxhfHFgrhyyo4fEoo8dVVlmFeLTXND4kYDiEoLnCCivQWNIgdMaM9YEDDjiA9JjtY6WepaQmGOBzFHt2nKLEo9SESP4AiEbPOoB4KASwNAcICVCQs0NVP7/+9a+Tft9998XoG/m4mIwBBio8aZggSY8yfYLwTfwee+yBDJEeIkwF4MwFZWVAPMT6ANJjzX3MMccQ2HbbbdPWhWQI3xw64YQTYq4QQFInnpEnAnR2iJ+4guEQCbKjoXVYpjNvQSsuuuii9AqG+nz5y1/GEh8ZOiuW6xK6CoV8+tOfRvvOEuAIiDMCHF9A8VAH3Zh5DsphhokRIJ2Wqx9LCwHWAZCAyjz11FPpoXomzJSQi9swhdxB/0/PaFgCEogE8ndt735j4R7PYmDMCcQ3L6/7wVQGpZWnd/b1MphTd3AW5rmpLS90rBDIzvK7DgoZ/ixHHHEEzeTLbWBVDZ/KzJ0P7IwjfyKsPbiI/HVwL2PwQcZBdoC+Xo7eva9KSurKz2ZJeUZJQAISkIAEJCABCSQEMP3Gev3www/HUDqJ/j9B3FLjNAbPMMigGFDHowwqgssUNOgYGQPve9/7ED35iY18jMTCGqkXvyt8BMfIGEAf51wo9anfFcy0+YRdd9110dBjyhDAmh4vKDh/J8u5554bj7KOGKttXMdgr110HvKOd7yDr3BGmGnFYt6qAKbTmC1jC4YZddE3PTXB0hnn6Yzz8VdTLAQ/4xi/YwGdHcI4Gvt0IoPxeHa05ifzBNjpf/7zny+mwZAcOZ54VtOnTnjQxPmJKTpm18U9TqkGkLmg9IGsTOTp008/fb311qMJpd57svT8xEd/4IDVPHMbxQTY0WOhTzzXiBmdLAGm6KwG4KQrrbRS8Qoyo0D/mTx5cpaL6xKsC7F2ZwIJM/wsASI+5vD0QBLEQx1045D397//PSsVWInP1Y+lhcBXv/pVvN7Tb1nEEA+1ZLLWWmuhtjO8pKfFXB30/5jXgAQkIAEJSCAlgPk/87jEsN4OP34E0nVpaUrDEpDABCGQf8VOkGbbTAlIQAISkIAEJDAwAptttllRbQ9nxwsHBtqEUymQ1ZrEYGddVcOgeKaab1jCjPJYmgXnIfjZQBLF6DgkQKDnLIwGsUYvzYJwjBcaDqWCe6gkzSndlpPE+BlHXC4tsCoS8ZdD+ACpWZ6M9kp98IVS9JCO4RvibGnhwW06PnBKj1ZFokfXNAFlmeuCsnzhhReGEpgJwIadMLMamZ+ZeArWmDOtguuVyD8cYlE2EwNI5zFlywCOUzGoR51fe+21qxKjL3OtUdtjJWNKtsZlzoBtTmNMFmAVSBYTfuJahwANLJ2K4FDY0DVsoxqydNCNQ0b+hVhRbQ9Hw2VlbiAmDkywhK1h8pWvfIX0eOkJuTrr//GMBiQgAQlIQAIpAV7NfIlhPdB855g0u2EJSGD0CCi4j941tUUSkIAEJCABCQwRAXwjljrvjlUMezmiJgfRnHj8s2PAyxLamCYL4E+DGCx2Y3yQOzFIP++882JkGsBFDLbb0Q162PQSRyhYvqfJ0jCOOxDQ8cKBB3PicQuOnIrUHuzr05RpONiVpzE1YZqAFxES4Kq+JhnDV4zcSYBmnSX75Cc/mcXEn8HXZ3EL2ZigNIDvmqrZkZD+i1/8IgHWuYefWOgjbWP1X7q2IKQBMvXE/K1o+4+Tlrb2awoG+/h+KZrSh3PxL1I1CQgUrftxuBk2m42J0wAZuehpTAwHez1E7So4oSOlUz4ddONwOmT9mkqGy/rSSy/FuoVmsglBDRP6D+szsGoPuTro//F0BiQgAQlIQAIZgfBJxgu9arY4S+9PCUhg5AlMPfIttIESkIAEJCABCUhgDAmwLyVG0zUVYENU7Nzxooh3lLABEQbppekZzuEHHOczbCmZJcDPDG6v8WSN52v0R/RW9rSsskMnbzAVx9l3Vk72k8rjipTESN5hqzRiaoolOxt+kjho9FlpxZ80GQtxDO0ptng0jcEHOh7tUbfTSMI1xtoBO9boWZb6n2zRWZ8ATzskiLb2zUniF57EQa8Pp0BZxtVJ/emyo3fffTcxLXOBi2RsG4vKnw7+g3l4Vmb8ST+s6nshTba1b8xYGqgqqqYbh3KY5qnpY8XL2oQJ815pH2t+1WL/L22jkRKQwMgTYLK56J6r2GrmAnmEpvG81nkds9aHTVZY5MTKJNzE4RQrTRPC7A3OfGF8+/Da4mXHeXHnlW1LyFMdP3X43WJ2k9OxRorZXPy5FctsK4bS2IqDPT9ZOcdbg0c9bzpq23I3RSYvMRdgMh4fZRDg3VT/emLvECae2TWEE+EcjKc9i8Z4YWXPfIDTfJoQ/iUXiEKLmN5mv+7mrcPwnKbxzMeHG68PKjlp0iRW1JVOdTe/ELEC7DXy4IMP8pPLHSJjVVmMmF4awPK2ghibjvIeZBqbjU/4VEshcyGwnKAcrmz67o6nY8catlHhJ72ldI4ZIwNsMvi6SF95MXt9gKVj9C48B7LnEG9wptiZq8aZXn0uGs72m+RiIvztb387FWOfmOxeyEpoeFEok73oyQsW/qXhgS3XsWWtSJ9dTdY78v1MX6U0ejgfwMAv/VDB0AQCrBSMRyHDVcawIPP0SJW4x0lPi+iWEMP/Xuk9ToEk43M3HIUVO+7wDUxGPpvZmSn7PONOx8QkrBrkQ5fbPHsU0EAWTfKJwid3+DbDaofRAQ8cOhi2EZyIytAKUsY/brrw/UNvDJG4muTpRJhLFgwaYuIsEE5HZFhfy2MtdnU6G10uTd/wTk+zjGT4f0EZyRbaKAlIQAISkIAEJDCGBPgUbnl20jBi4eM1TclnMd/3+ADhX0YdfHbHBIxR+chOExPGVQjaPftDMl7iLwy3GFXyx3d85uU8jAzZ/JMdMrNy0p9hXBe/rTnEwCBNUBpuLriHkhk/lw5908JJw8+QPo2Pw6E0sptw/SiRksMFZWDDOJAhTSAJ8CpnLKEyDJIJZPXnXOlIO6Ss+ZczhmFn6XAuzRhwMeBhUJde+vrLF7TstJwsXHT7niUo/my3G1NCW9e0OZO0bh30/zS7YQlIYOIQYG/A4uKkYvN32WWX4LqKQ4iwvF5POeUUHsJpSnabxH/adtttl60twx0Wj9+wcArtkmThFb/JJptElQ0djZoUZ52RqlkPx9YjHTyfQ93YOJ09VLLVYOxQjSLM2jjk6bQJMYwUvsMOO6Qbw3CIVlPhQw45pPTL55prrmHDEtTAWAiB0047jU8afLKxXXaMR5hmU/H48+mnn44ew9iepMqzWUwfAsxbcAlOPvlk5vXTQ+zCMt9883G92PYmjSfc5EJkWXgHxbpxCB0z/mRbF7zehfRcvn322SdonbEEPtiQONkyJxVbWffGB8YPfvCDMLsfE4cALYIYYQKl6+ook6vAckb21Mny1vzkolC9sPYrTUYh7Baz2267Vb2X2cPmpJNOyvo5e91vueWWeLdLiwrhti4KG9GjO8dC6KUhzNwVG7/H+KpAvJp8PFNUWE8ZE0+ZMoVvMHYJKnYndsphQxpI0k/QlDFkCRYnTA5FwZ2vCDZhYnf6WGAIHHbYYcsttxz3eFgXGI9SAr7ywnW57LLLKDPtllxT9gGigcxYIMHTObNrAWduEO7H9DbnzqUzs20PTwDK5NThUzOelAKxxcErY/yy5UrF/hmSsdNvCLBMkAsd8xYDPBPoljEeEx/+wk8CaXub3+mxtFENKLiP6pW1XRKQgAQkIAEJDAWBliImtQwjGYZtsca4peYzOti2IEZjJ8UgFtsZ/hiD8WnL0Zg4BBh143V9jTXW4EsXuxhGKYwT+MOTBh/ojCgYGwczFtIH3ZbyWyrd5A2Jw7/Nm5NVr/RnKLNqIJdmCZ5MQvo0vufhzM6uWH4kQGWoVagSwznGSMXEaQwko9egEN+W2k6W2PxYh7T8NMy5mHFhZEuWVHBv94xpmR2EO+jG7Z6lOZO05JCrrf6fZjcsAQlMHALsgBI2sShtMkIq2hy2xtGgGLUdh1q8pnkOsyMIPuUQVXlBsIcEIilCISbMxx13XHipZWWeeuqpqO1EYrKKaWq0TiUvkjQKHRoxk7vMo5OdJxgGrbziEeN416Nlt3w1ZKfjJ1U66qijyMh2MniZQyjHuhxbYGpCmXxUUFUMsbOMTMazgTa52CAUk3Z2UuEliCs8tFe+PRBbUTOz1w3Cd5CAOQuzDlgoMx0LCjZBgRUKIwp+1P745glz2KyWY3Ebb7HgfI9q8BWUVab0J8LijjvuiPUxVyE0jTKxMqZR2Bnw7wYbbACx6GcvK6TqQmTJ+En5oap8wgUVOPzkUOw27BoCLhJg/Y02irTKCxpDCgRTdhdnHxdmEYLvQT6HMLum2ljllwruUTUmUCq4B897dNpiVatiuHbUCs0dfRk1lp7MhBC9iwuKxsoMEAmOOeaY4uciMyvAxM0gWi3XhUZhss3GPLfccgtsEXnTSRTO3u5F4cMVVmSkhzAFxcUK1gZRPq5qURrPygZuQ7KzITxVxVqcpQPA5/uEpnGrYgmRadAxO6s36Mzcd1wXsETgLDGhr7LkFJWZwrlkLGWAEvcp0jmm69wFfKVjBBOLigE6/F577YUOzmQMNzh3AQ8QlHHm0rjHjz/+eHomRfHFTrFYzaPsc03Z8Z5VkjQcKT8WFQPo4JSAb0luWIih2qO8M01IPOiYFSN7EMR5UoX+yXm5uJTAtQvfvbF1sdgsgMvBMLPCfBh3EKeLT4b0M76tOz07hT8lIAEJSEACEpCABMYrAb4y+cQc2B/DVL5fGY62PONXv/pVUjJ8Cin5ROYnf3zoM9TE7iwrIZTMJ3sWn/5EbMWghu9pRgWhNLyrM/AIaUBBJBY0aZb6MKN6sjRpDsMPUuIyvr5AjoYRIw7cW6Zk8EmZDJtDSsY//OSPoUhVXkbyJGCEVpUgi8esjPSMHrP47CdixP858YILUgcOYeJEGMEiS1b/kwX15MK9TE0yri9pUFJimtjqYpeIaUIgpgyVJDK0DhuoLGX42bI+dCQqg8lhaXYiWWBBAnpmTNBBNw79gVFoLKQYYOdeToRJVzgUW9qSSVpUB/0/zW5YAhJICfTvmwAVLz3RsIWRg1E2eSLxhIx1Q3QmBmcOiG4xMgSQ3TH75SiWqukhYti4ArWOAC9ElLL0KPbdWEBzCFmWN3t6iDDOLpARi2VmyUp/oushmaGj3XnnncUEGOFSbPpAjs9b9Flex4h6WS4suCmQXKiK6SFUPyJx4oFFcBofwgiUHCJB8ShW/1kditlLY1gNQEbskVEbswTMiGCCzVGY4+UjPRoiqy5EmrIYpjOQnYZkh7jozDFwCCPr4uUDFPxxqoN6GzIiBJOY1RJZOfxEBOdQuNx8NxYTxDrUfBoVcyGOUyzv92L1+I7iI4qjTAzEjMwJEUMH4FpfeumlMT4EwIvZOAmYIyGcHu3solAC/S2rQ1psVZgsXGIkdW7SYjcgF4I78EmG5J0WEr6X+EKm7bjHYR4FoTkmIBw+2qkVFzfGhwCfIuuvvz5l4toRG4t4NHxlEcm9XPzOpHqhJpya68uEVswYAuEbGODxM574MBbYc889iT/44IMz2iRgjSNzCVSGgUBWIE6NiOevra4SCmHmjIxczaxMfnZ8pxeLGlhM/95flDxVX0u3cAlIQAISkIAEJDDBCYQNTmsg8E0Z0rCqmmSMYI8++mgCrGlFxmW4iM/HLDuDoiym+BMzFmypGBXwRc7CWOxiGM5RYEgZHD4yNitmrIoJ1WvZHLJzoqpCsviw6pz0LVuEwR15MaPLSuj5z5aVDy5luSjBJqgDkh3XmTMGh7CBRk05WJlxFKvAlgb7NYV0c6hX3bhlHZozARrKFCNSyhzkVWvZBBNIQALjkQDqMxap6F+rrLIKr9rQBNSrsP6MNzj2wlm7sFdljpbXx4UXXohpfHaUFzTCGVOVmRt0hC1Ms3HijGsI3uxZLkzFMW7FaJcy0Q2zo/U/sbzm5YvVPPJZMSWtw9IZyRU1MDvKKwaVNl0+FRLgeTxsnI6NdszCiiJo8BNTbvyTxPgYwLibOVR+MqPQxF1+zFgVwFiYqVkssiGDH/wsGaxQhPFOzhUMFcsSVF2ILFnDn8yaY0ON3TEeZoqXD1zYKKDMHn744aFAFN5gKl78QsN5HWlWWmklJqJwNkjfy+qATToxeD5JfcdnaYo/0YKJZKanWD32B0JW5ijm1VlGPP5jM55uSxMSgHfbbbcFPqox79yYq8uLEstpK8Alpub0q2I3oBwM8IFPIG6onhaOVThrODDYBzjrGOIhvqiBzycxunNxOwHubnodH6u0neUjMVcIEMm9BrcsnuoxRUcktzCLIViNkSVA+sccnru1eI8zZ8NiCLo05LNcrGqlX3EXM4eE+U52tOc/B3+n97wJPS8wvyQ9P4EFSkACEpCABCQggYlMAJkPI7IaAoy6GUvzWR/2gGIFK5/UaOVxAXUxL6tZs0gMjhhRsKNRFh9+MuxnbTXhsNaYQHBdilFbafoYiTTA8lWWjhITPMky9kZLjQmKAdpbnyDNwviBETsjouIQIk1GGNtn/s1kiCxNT362rAle9TkRK/rD6QJJZIv6szMigiSWa/XJWh4NskgYddckDgnYhqsmTV8PddaNO6tSYBJ6SFUJKBdYloWhNWk66P9VJRsvAQlMTAJYqbOMDKkLE9pIACchGMBisIw+HiPTAEocpsHEnHfeeWk870Gme7G8Tp0zkIBXKpa2SGmo7Wn6NMzbGdGfmODdOz1UHw5ezqJjriwxNcE0mNd08dMCs/eq+e/gjpxqx9J48WEIjN/tKscdpMTwnxOhtjNtEDN2HEAkJS+Oa+KbulhUmL3gVZX5Va+6EMUSmsRQGm9/UjJ7gYxemgXX3gijfJ4Fzii2zLuQMqjnaZbwZkd75Y/44pdAyNKWPxnKCd2AqqbnimEcmwSpN8aEAOo85thZZPjJbjHBnU4quHdzUUrP0jCS6YeaT8eNN94Y70xMIBW/h/nYY+keLmjSE2EYjn06MUwRcaXSQzFMPJebn+ecc07wwRIPEQgeXdKYEA7E6CRFn/IhAS5cCLDKoZgXA/aiw5+QDE8y4b6jMsWMvY0Z/J3e2/r3ozQF935QtUwJSEACEpCABCTwfwmwg1a9zBqGl9i2BNsixqXkrBrKcoixcXGUhcdM7LmK26nFyxAURpaXhpgwWsPbe4yJKWMA6yQMebBTCztwUiVcWGIgzArimKYYOPfcc4uRVTGMEILfUk5UlYZ4RA1GxQTidlU1ibs8xLgLPwBVhXA1g5NWbNBCGsbzDK4YAtXsqkcuTKVwtotjzaqSG8aHkRh9JvX4n+Wlh+DPh0gWJmeHBvazs27cWfWaMAlTTSz2D3dZB/2/s7qZSwISGEkC+I350Y9+hLDIRoWp9WvY6jBYeVc1nD0VORS2SE3TMClYNEy+9tprSYN8XzR6TfOyfUsoM4in6aGacJDwmEfP1P+YhUkF3ibhgRkjCVRNJ3AIh/X8i2ONmD5Yu9O6ogF1TMOMAgn4mZrGx6NtBZBEw/wrJts1GVlgh5E7CaIhQkxceiHi0bYCfJUxi8BHVOkaglAUBsjw5DshfkUExRwvIum5aBdfekjzzPEE/tmnIK/+YKve7pdS6AaszCi1lsBigz4Q10fGKmGzX1ziEI+GbhC/MLu/KLHkdgP1NFDbQ4Li/cg8Fh5pstNhgMJ6BRqOE/bsUPoTJ0KsK8XaBnfnaTz9HNcxaUwMBx/rrF0o3d2BZPQT/i1Oj2Flz6RCLKcYCKsQmD9o6+FQLKdlzIDv9Jb1GYYECu7DcBWsgwQkIAEJSEACI0sAlxcnnnhicWlwaDArtTGIIxxtXsJ4G7P34PuiyAWr86BmpocwQeJnkFnT+BgOq9fjDk4MJFj6zYd72J8tJksDrJbF3Q2CeFwzGyqJdsx4I00ZwyjjjNvbcmOC6Q1qBcNjvLjGctIAI4R99tmHGCz4auYh0izdhNnnjcXFDA5LC6F1GO4x1orrD2gsZnQkZn190ZQpFMIlxgkv489g+ldacsNIxuFsGsZC8rj8vJiRQ+wPhklau2ZuxaI6jumsG3d2usAETw5cgtISGPOzixeHogrWWf+nBMbkrBbnjy3XSs9lpAQkMPIEsCNmD0ke/jxsg3+q2GRegoSZ24sxxQDPcNa0MaWdvcpLXxBhHr3GRDeUj0sKnrq8uUIFiOS5x0xw8S81V8dhSNANcdeOC2/0soaSXGb2m7aRpvGThXoxMmiOLZvAsgCyMOGN9BzzdhBg1hxjbSbC4za2VYWEMxYtFUovRFUh9fHBfL6+P1BCqGq0tUcCxhwB/T1VVzHB5uekSZOYt0C0RX7lfZR+KCLHc/mQ49MvJb7Win2AmFRbx+c4Xz582/Axwwde8JtX3y6O1vQBjmbdoPuL0rI+VQlYMFp1KMRDjECEHxOXdoPQW+CfTrPFLDGAoXoQwTPBHRU+W8ISs4RA9jzJjpb+ZL6kyrw9pOdKcV5uSa5CaQm9ihzwnd6rave1nKn7WrqFS0ACEpCABCQggQlOALsz9NZNNtkE+yCWVKc0MCvDpSkfwUjJ4Yufo3yjM/J59tln8eTO0fQzmjEkkiKlsfh6ypQpqWMZ9tdilSteGhn/kyuzI+Mjm4XqFI4nyliBXXbZBdeclMaHOMtR0ywMd4899lgUcIZMm2++ecyy4oorYq0fXEwix6eDOtLg0POb3/wmY35sr5qvCkd6IBftwr0ptj+Z0RB6BKv1cZdJJUkWa9K/ANeChbc77LADKj8j9vREeMA85JBDiOFoaoLEenD2EwMyO8ri2CfLhX1iyMUC5BRyWnLzMCWgjDA8RvrH0g1fn+kqdfoSLvtZZABJrm/9gLD5STtI2Vk37uBEZIlM6HUwYavhtOHICizuRmNCZE97Vwf9n3PR+fGwTIDxNloVAf8kIIEJRYAXN08PZqPZ15p567TtLDwKfjl4F6TxxXDQo5k6TW2EsZcvpgzT27woi4eyGNJgURv9evORELzJZ8n4DgnrtEI8TjOYiWeRGebS/PFCQfxl5RZ/CI5p9dJy6kXDNCVMgmrcsglhLR3z1kwVVJ03LbkqHIhRWvr5VJo4nLFoQFB6IUpLaBnJTDBpABuNKkqzBPk71gTVFYt4FHY09LicjkLIG1Yb8I7D+Jplc3x3Rdv54E8mW9mG55xSR3mrrbbabrvtFiqDJI1dCD0BDzDMJPGHg/LQB3iVEyitc/M+QPbuL0ppHZpE8vVYnyxsJhSuVJqytBuEhrTszJQT0sT7MZQc5iHSs2Th9OslO1T1s2UDyUgbaWCxjVVldhA/+Du9g0oOPouC++CZe0YJSEACEpCABCYQAT6FGZYzPmeRMgvJcauNJM14kpW/V1xxBWNL7JWCg/UAhXEm6jxyNroeYy1schkM4+Qdsy/SM5xm+MRAi7E0R/Gjyl5trJvGepqxE5o1LlxZH439Ne4gUV2xrMcGimEY6gA6ePRhzbnQH1ktvueee2LQhF0ba04ZhzNARU24/PLLsXVi4M1ebakRE0cR7jfbbDMM8xmtkYWRHtIz9tSYqFMIcifzCqjPbV1g5g9oFyv0EbJxXcpSXJrDEJ2lu5dddhmH+ImO3M0IvHl9GFsy1mW+gckJtneDEnZkNBC1PQx3kdezbd9Q2DF5BgsJMBDjkrEEG+NHZkS4FsHDAHMbwXlO85pUpaRKzE/Aih6Cms9VwJg9Xjgsrzk1RvrBuqqqkH7Hd9aNO65VZIKXWJjDhB0RYEIXYmaCaRu6ENCIiafooP/HvAYkIIGJSQBPKUyd8kbeYIMNiq6Woz1y6rq6FBTPIpS1zDMYc+3FxKHMJuJmSBPrgGaazQeEwjPXNLwvmMzGMgAXczw8+dLgscnf2WefTQ1pI+8a3uzFijWMifVpIjXy1cFUBFm6ed03JxYmzmMNY4tKL0Q82lYgFM5nTLaaoVgItNPlBazcQnDn4y0K7nxl0W2i2TVfdAjufHUEwZ1vvOBIJ1vZxndd1s3CqXknpnXAP8xZZ53FVyWfOvzL8gsC/JEG4ZgJpOB+J83SVrj7i9LW6dLE9PD0ZzGc3TgxQWk3aN6QqmJj+b0KtGwgJxpAZeJ9NLA7vVcA+1qOgntf8Vq4BCQgAQlIQAIS+B/GP6jJ6H0I2fxFIii57NeECJ6ZtDCS5+MYzZe14XF5OLkYIKF3BytdbNIxxGblb/zGRWTE5Bx/sqjh5I1nIcDAe7311mNEnVlYkwU9nYoxus58yzD6YpiNcJyWQ5j5A7xzHH/88biMZ0DOX0jAOBC7qm233ZZKtiu4UwKL2TkjdcBXe3DXHopl+E0lETg6WGYbSujgXyR1RpjYBjKrkWanadhKp1bS8SgmgSRmeQGaRbCAjofIResyjT4e7SzA0JcFDVxrZlMwRksLYek6u7OW6ixpsgGEO+vGHVcsZZL2f6adll9++e233z54uUnL76D/p9kNS0ACE4oA7juYHX/qqafQOlldVGx7XPmE9Fmq1hWztIwJYjeT9C1ThjTR3JVJcf5a5goJMIDFvRt/tJHVWmwDjvjOmjm2bMFNxCmnnBKLbVhgTBbFelyZZ8u/YpoQQG4Ohv/FZ3WWsv5nx8Tqi+3saOgSzLiz9KqtEvig4tssaOhkxHgCYwg+yeKFCKbuCO6hK+IRBcsAPkWi58BwOuwwGp6Xzy3U/CDoYwqN7Tw+bVjpyF6+fIPxdUf3aFhUMdkYXhSmx4r1SWNCgthR00PF8Bg2pFiZENOygSRrq41VJ6qPjwAHdqfX12dIjiq4D8mFsBoSkIAEJCABCYwaATRx/kKrMKdFh8VsHAEd7xaMwTA7Cm43Sps9efJkbKWRnh9//HGs4Bli4b8CtzPRRBcreP6yvJjPo8JzFgR01rHiGYaBK+4d2TEV2TFLHH5iG8VacoR7BtUMsTCSYuMmtG+qV5qeSOYJGHph0I0ZFJ5AUfwZq3Pq6GEGYyj+qrJXxbNtLH8M9ak8NWFugMkAEJVuNIpFD8ZfVUWFeIi1TFNVAmsR+IMJBuOQpA5g5CJG/sWMYTqEmrN8G49AOBYgFyu1S+FjyN+ybiw+4K94ohCDBTeyMn2JTsIwG5UE/vSQsEa+mIt1DMXIGNOyPiyk4C+mLwZYYMFfFt9uN2ao3xIL3pP4y04UfmZM6MwwoWmxZxZztdv/mTvhr1iOMRKQwMgTYAMVNGjeLKz9Kn2lMlPOH+9EXgFVj+J2KfFmweqc13r93o+87sPGEjWPuyan5s3La4s/Hvi8i/FQh97KwjUW6jXJXkzDy5rvEEy8aUKwxS6mCTG8/Qlg297EYreqEOKDhxCqjXyPiFyTkipxtEtiNeVzKNgKVO3iU5OX687HAzI6H43MoIcFdunutZQcEvCJQjjssMoCwZoymx/im5M5bP5Y/cDUPgYW2EPQAzM1v3mBY3hR6AnscFBT1eCzHsOUmjTxUGgIkx8xpiowgN4VTk0Dq+oQ4vkWYpqQcMM21pdWdXTwd3pVTYYqvu4BNFQVtTISkIAEJCABCUhgvBNAEOSvYSsYt2NGx1/D9DFZW2cJuZDXaxT2WHIaYM6gfvyfJm4eZlxUPzRqXlT3KdGv+WurHIappSbwbRXSPDFKQW9t55ufumHKjrtxw/KLyTpg0kH/L57XGAlIYIQJXHzxxawrwkablUzRlrPYXjRQ5lyZOKwR3HHxESZT2SmEJ2SxkDQGkfrqq69Gb91www3T+CzMGSmWFxAexrJDNT9RUZke+PrXv14qOmNPjUU/f1i71xTS8hBNwPtZdH5SlT5oykzeVyVoGA8BVHtcuHAhwraoVRmD/XjL3VyrsjeJpz+QjBUD9YnpXSjm2BzEnb1Jj5E7gjteZRDcQ1WzD0J+kgBu5ArXKHPgXn/ScJQ5ezoYpvG4KCymZ6EGHYA0SMzUgYWSxTRNYsbwotANMjc7WYXvuOMOYqpc1WeJ2b6FGC4odtw1zwFuxlBsX3tXqBuXhgmtmnUhDz30EBbueHppPgDJWt3w54Dv9Ia1GttkU43t6T27BCQgAQlIQAISkIAEJCABCUhAAhIYTgKsdtpvv/2waj/44IPrJ6eDDXK6K2mxRXge4w832S3VdvJis4yZNgIf9ubFomIM21cQZha81PQ+JssCLFPDePmee+7J4uPPoBc3cWgTsxQDwdk9m1qXOhMP6dH9zz//fMIdSMbZGVmIFnZMYfVedij9ieU4OjIx/TAdiCdCxmWShrWAuGeJkVmA1QksQcMhe7aeL5irI8T/61//4koxmxIuR8wevcqw1o295Vl70dZ0SygHKZY+wGRSLDYL0KOCkzo2MMgONf85hhflyiuvpHdVVRV0YaYHc/6qNGk8FiFAZglj6K7poTR8wQUX0Nt5VvRb4+ak9B8mbNKzZ2FuPWKYzsm8SmbJuv854Du9+woPoAQF9wFA9hQSkIAEJCABCUhAAhKQgAQkIAEJjDMC+IfBixr+SdjDY/HFF6+vPbbGweMZMl9pSrS/E088kUPso16aIIvE9pxd0Incd999kfmyo+En+6Zg4IwxMr7CSxNURYbm1EiH2MaSt2NHIuG82BezLQqeT1gcUFUTDuEbDSkzM0YO8wfBt3tV3mI83sbZGgeLbFyQF48Sg794lhcQWGWVVUqt+0tzdRBJZ8A9IBlxyI57wNISEGeffvppfMgE/+kxDXItQJhowQKdbsPRzKldcOnOVi5sWU+uDF0spz6A4z5Y4f+kygwfhyTsDEQhXXaDbi5K6AZMPNS3pfQowvfRRx9deohIHObQuxZbbLGGcxVcgvXXX5+MbPNT5csF/y3HHXccadilqeq8PYznxmfCpsptEdeODsbpcPGXnjTOzHVAtepydHOnp3UbpbCC+yhdTdsiAQlIQAISkIAEJCABCUhAAhKQQA8IoHGjsyMWs8dyk00jMUMOm1ji9Bw/KlkNMBVnU2vUVTYFWXHFFbOjVT/DbuRo39TkxRdfzJJhLB82xmS77xo/Nlmu8JP9MFCEcUyP3s1GIFkanKqzTzuRK620UnaorZ/Y1e6///7Y6Z933nlHHnlkpp7z87vf/e65556LirfLLrtke8iHfVZ///vf4zSj+UnR93E+TnrIoFZnGfE2A0lMwrlYIVmWoLc/uS4zzzwzMNnbprhWgE5yyCGHcEY2Ji0aIAcNHWgkyPzJEIP4iwpPmSeddBI/OxPc8YvCrAPZd9ppp+B2nHD84+rQN6g81vcNbcBj3izQzUUJ3YBFCVmZTX7iKgf7/RNOOCHr4fwELJNV3AK0vUlRIQ2PgqWXXpopEHZpChsPpHlhyAZLqPyI+IPx+Edl0Nw5aXBGn1YGbzNsw8BF5BJnOyhwu4UdfTugGi4Hd1B6LsLd3OlZUSPzc+qRaYkNkYAEJCABCUhAAhKQgAQkIAEJSEACPSHAPuRBkEK6Wm+99WrKZEPCoJyiy2P6iriMwDpp0iR8pGBDjXCPqfKll17KxtohZaYs15SMvIXBLBuVo4xjLo3eh6MSxDIclfz0pz8Nvkrww17v5L20fKyq2ewaVfq0007DRh5T+rnmmgslDmtZ7KbxHo51MzrvuuuuW5q9eSRbjmPivcMOO7B7PBIzTcCgGL0YqpdffjnbvSJ6HnTQQVhbZ2XikQNFGH/Z1AEFk6NMVLCve5as+HOttdZCo0eJ5qRsnY17FhqLSMpVuOyyyzjET6ji7b2Yt7cxXD6EXS4frku4fKyBwDKd9jKLAPObbrqJ07E0IbjByU6Nhs56CNyeIGWG5mcJuDp0KhK8+93vZqvb7GjDn1tuuSVuhdBP2SmXTWhwfM8urExLcF0uueQSVh7g/vvAAw+cdtppGxZYlazji4LndHojujmOmJi9oPNT56qzZPHrrLMOSjTXmuUOyy+/PI53gEkMHQ+5nNuQnlnvJyorkJ9sm8zdzf245pprQoxLgwt1JsOIQcFH4CYG2/lixn7EQIP6IKyzaGa55ZZjFwQqwzTMrbfeesUVV7CugoUsOOIvnhqq9EmeADyjuMR0y3QLgWL6GBMc2fNg5JFIr+MUzGAFFb7jOz0WPmIBBfcRu6A2RwISkIAEJCABCUigEwIIFkUjoE4KMo8EJCABCYwEASTa0A52p6xvEAJuSICOvOuuu6KJ48gCOTUoquEQSh9ujrFYf9e73lVfWnYUQRC18dhjj8U7/JQpU9Kjs802G+JjqVybJqsKo30zH4A4iOsJyk+TMTGAoMY+mVQ7je8sjH00TeBESPnHHHNMWshCCy2E4X9wFJ7GE8Z0F186GMizLIA5DGIQ5ZsI7qTcYostSMnGsPhqD+7aQ+HY2tNqLMqRlUNMv/9lS1KuGqbiLEdgyiE9Hd2GelaZQpOR60vb2b89CJppXsJoqTQHhTc4fM+ONvzJlAYzE3RXnH3jCin1hsTsCwbUrAOYc845G5ZWn6yzi0InvPfee5mq4Y/yuR2aC+70XiY8TjnllLPPPjvreBh9Y9sO5Po6F4+y+8JRRx1FgXDLiAGTKbcNNtig+Yxasfx2Y9D3Tz31VLo6swj8xexo8SywYDqntDLbb7/9H/7wB5bOMK1CltVWW62h4I6qjkE9Z2RzC/7Iu/nmm8f+2dmdHus8YoHXjVh7bI4EJCABCUhAAhKoIoApSjZSrUppvAQkIAEJSEACTQggMTdJ1kEaZD7MbDvIOAxZ2Mzwvvvuw4oWe2osmrFBxjIUNybd1I0tLjFcxbYdnxV4+cC8FLvUnvDHFQbW3zjPodpYyOL0hi060Vu7qW1pXsyxkb+xm8anB1o/UnJLTzgY2mMPjp074ikYm2w2m56aS0DTWFtAdvRrJPtse9I0cV/D1OH2229nVwBWPITL1yfInbUCwuinWH/TzTB5xmk7V6dP0xIdXBRqxdoL+ie29nSDlm0Mhtg/+tGPMIonMYbY3DvMXnDv0CiOtux4LU/BVAe+73lGsSCAbsmCDGaPmCVqmbEnCY4//nhcybNsYs899wwFcu3o6nQwKkPrFl544ZaV4ZYP/pp4NLX1dML5Ow8itkPgFJyrOC3XwZ3eEyztFtKT52fVSfv1aqw6n/ESkIAEJCABCUhgrAgouI8Vec8rAQlIQAKjSqB/gsW4FtxH9XLbLgmMCwKZ4D4u6txWJYuCe1vZTRwI9O/9Rfm9n7H0sklAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJiABBfcJeNFtsgQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCfSegIJ775laogQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUxAAgruE/Ci22QJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhLoPYGpe1+kJUpAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISGDiB/fbbj3NOP/30Az/zgE746U9/evbX/gZ0Pk/TPgEF9/aZmUMCEpCABCQgAQlIQAISkIAEJCABCUhAAhIYPgJf+MIXhq9SvazRh17762WJltVrArqU6TVRy5OABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIEJSUDBfUJedhstAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACvSag4N5ropYnAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACE5KAPtxH8LLPOOOM00477aRJk0LbFl10UWJGsJ02SQISkIAEekHgwQcffOSRRyjpxRdfvP/++59//vlXXnmlFwVbhgQkIAEJSEACEpCABCQgAQlIYMIRUHAfhUuOnr7wwgsvt9xySy+99AILLDAKTbINEpCABCQwpgSuueaan//85z/5yU/uuusu9fcxvRSeXAISkIAEJCABCUhAAhKQgATGE4HXjafKWteEwNRTT43p+uqv/c0yyyzJEYMSkIAEJCCBXhK45557zj///AsvvPDee+/tZbljUdaaa645ZcqUsTiz55SABCQgAQmMJoHXva5fqsKcc8752GOPjSY1WyUBCUhAAmNNoH/vL1qmhftYX972zz///POvssoqe++9d/tZzSEBCUhAAhJomwBrp/jjvYPyfuKJJ55zzjm4nWm7FDNIQAISkIAEJCABCUhAAhKQgAQmAAE3TR03FxmTduzy7r77bvQO1fZxc9msqAQkIIERIoDs/t3vfve55567+uqrl1hiiRFqmU2RgAQkIAEJSEACEpCABCQgAQn0hoCCe2849rWUILU/9dRTrIJH7OjruSxcAhKQgAQk0JLAsssue8MNNzAHrOzekpUJJCABCUhAAhIY1wSwe+PvT3/602Basd5663G6Z599Np6uGBMP1QcOOeQQirr22mvrk/Xp6L777svZ+WLsU/mDL7Z4IYoxg6/VeDnjI488Qn/Ycssth7DCXschvCgjUCVdygz1RURqx0n7YYcdppf2ob5OVk4CEpDAhCTAHDCDKNZdbb755jfeeOOEZGCjJSABCUhAAhIYcQIPPPAALfzXv/41mHbef//9nOsf//hHPF0xJh6qDzz55JNU/oUXXqhP1qejTzzxBGf/85//3KfyB19s8UIUYwZfq/Fyxr/+9a/0hxlnnHGsKnzzzTczbbbQQgvNOuusWR28jhkQf/aEgBbuPcHYl0Lw1X777bdj1a7a3he+FioBCUhAAr0gEGT3M888cww/oHvRDsuQgAQkIAEJSEACEpCABEaTwPe+973ddtvtvvvuG83m2arhI6CF+/Bdk//5n2mnnZZd6SZPnjyMlbNOEpCABCQggQIB3ln8sUr0+OOPf/XVVwvHjZCABCQgAQlIQAISaE3gK1/5Cp9S0003XeukphhrAl6ssb4CvTm/17E3HC3lfxNQcP/fPIbgF/5wzzvvPK3ah+BSWAUJSEACEmiPAFuqrrTSSvhnfP7559vLaWoJSEACEpCABCQggf/5n+23314M44WAF2u8XKn6enod6/l4tDMCupTpjFtfcuGxfY899sAfrmp7X/haqAQkIAEJ9J8A+6k+99xzK6ywQv9P5RkkIAEJSEACEpCABCQgAQlIQAJDR0AL92G5JLi+xQEuOsWwVMh6SEACEpCABDolcPnllx911FHbbrut7mU6RWg+CUhAAhKQgASGkcBDDz30s5/97PHHH//vf//7zne+82Mf+9ikSZPe8pa3ZHXlKDsxEvnhD38Y07rsaPjJzqiPPPIIR0kTE7Cx5H/+858PfvCDb3zjG2NkTeBXv/oVRnu/+93v2GqV3SAXXHBBFs1PNVXntpXU/I477mA/uaeffvpvf/vbm9/8Zoplq8lFF130da97XU1N6g9hkPGTn/zkwQcfpMx3vOMdH/rQh5ZeemkA1uRii8vrr78e4Oz7Sq3e9ra3gWWZZZZ517veVZULnjfeeONjjz32yiuvcFHmnHPOpZZa6gMf+EBVeuK5lFxQtnh9+eWXqdg888xDxd7+9rfXZImHiheLU7M76Oyzzz799NOTjPrQakj++9//nmGGGT760Y9Sn5ory6W/++67b7rppmeffZYLSks/8YlPLL744jVZYmVKAzC87rrrAsO3vvWt733vewE4xxxzpIl//etfh85DDdP4LExb6LGxaeEoMQC/5557WN76z3/+k1PAnDuCK5VlL/4EONjpYDUXiPr//ve/BybnzUpo2FHDFSEvHY9/f/vb33LLEEjPW7yO6blw+04bqQYlgIge8slPfpKukqYJYTo5HEgT9mWl8ldccQUVeOmll+hRc889N12rHnKxTGPGL4Hy5/74bc84rTlqO08oDdvH6eWz2hKQgAQkUCSw1VZbzTvvvMsvv7yaexGOMRKQgAQkIAEJjDsCf/zjH/fdd1/E2bTmU6ZMQUHbYYcdlltuuTQe8XHttdcm5qc//WmpNschVHLSoFH+/Oc/j3m/9rWvoX5efPHFmSoaE8TAk08+ud9++916660xJgSQJolnW/ssvslPtMW99trr0UcfLSaea665Dj744Pe///3FQ/UxNOeYY44BVPZNSGnrrbfexhtvXJyQIMvRRx+NSWKWhRN9+9vf/vrXv77ppptmJ0Wh3meffZCqs3gcHrLykt0yi5Mi6KGU9uMf/zjLQsU222yzddddN4sv/ixeLJwWwJBimfaA5NVXX53mAgIa+oEHHoiMnsaHMLI4TQjzNPHoGWecgXq76667UmCMbBJA4mdrwFNOOYWumKY/4ogjVl555e222469A0M8ya655ho68EEHHZSmTMPMeXz1q1+lTBTkMJfA0UsvvfQ73/nOiy++mKYkzCmQ9WkLfTs7lP5kamGLLbagR51//vlpfBpmuuKAAw5Apz788MPT+OYdNVyRmPfII48MYeYeLrroohAuXscQzxXh7Ih14Wf8901vehNZNtxwwze84Q0xksBZZ531gx/8YPXVV995551POOGEk046KYNPx2DLq7XWWivNZXhUCSi4j/2VnX/++a+66irV9rG/EtZAAhKQgAR6SoBlW1deeaUu3XsK1cIkIAEJSEACEhgDAtiosnQPjRtjgi984Qvve9/7kIkxjr7kkktY2LfTTjshx/PNM7CaoYkjVSMZo1ei/WHYPs0002BdiykuEi1SYBQWm1cJEXOjjTb6+9//vuSSS7KNJEboCIt//vOf77333lNPPRUDZ2RutNF2N3TdZZdd0HMx7kaInG+++RBhEcevvfZa6onUC0ME6Ne//vVpPUMWhN31118f+24sFFHesRNHvz733HO/973voZ7T6pgFOZifFEv5zGGwYgA1mfkMDOTRQNGISYDon1roc71oLNbHWNlzFoyyOd0zzzxDVRH6kXexaN5xxx3jKdoKIExT+G9+8xu6xGc/+9n3vOc9CK933nkn7aULIbmeffbZCL5pmXfdddc3vvENrOOxg6YtzJfQwajeBRdcgF6EIQuUPve5z6VZasJUAM0XXCjCzByQEdWeS/mLX/wCCR6hmbodd9xx9BkKQX+n1RjCsywgqvBZ4dSBMhdZZJFgu83Rc845B4GetRRcVm4K2kiYHnjLLbdwCq4vFWC2IyunJz/b6qif//znw+QTNKgefTtMZbW0NIfV1ltvze2ACRHXEeEOXHQq5gC4fOjpWMofeuihWMoXG3XIIYfQiz796U+vttpqmPxzKR9++OHTTz8dOGTh1BAr5jJGAhLoJQFmKVkI458EJCABCUhgVAkwXGGY1Mt3Zxdl8bk8qpxtlwQkIAEJSGBMCHTxWm6RFaFqTFqUnRQtmz+kN6ySkRGzo/zERBrHMvyhqMaj6HQhI5p4jMwCiJ6kQQFM4xdeeGEicbURI4sxFL7KKquEWqHkxpQhwBnXWGMNzLpR5EmDRJ4lqPqJckp6tMJiAoTgVVddlaNIxsWjpTHYoYca8i+eBnGWkiVjzgA7aI5iCJweYk0Akbheeeqpp9L4EMb2n6Po40CIRxExicRcGl0+RoYAkCHMUSTj9NDmm29O5OTJk4sXCL83nJ2jTKWkWYoXohiD3E9GFHPEVspJsxNG8l5xxRVJsPvuu6eHiMdOhXjMsYtNoMn0Llz6INanuWrCIKW0T33qU2jTWTLOhYU1R/fee+9wCCUd83ZimD3KEseftIgEl112WYjBdwr1IYaLFdPEAMyR5jma3hHYsxPD9ENMhiskYuhXMaYY+OEPf0iab33rW+mhzjpqaELWDUKxxevI7A5iHadmnqN4RZh84vpyNDIM5WDaT+Q666zDswLz/7TOhOHM7qwkYMaOcHbUn2NCoMVLqLvDnTv26u685v4/BLiBecTIQgISkIAEJDDCBFjCxUrM4dHcRxi1TZOABCQgAQlIoE8EkNrR3HFtUSwf8+ENNtgAtQhtrni0HzEY2GL7jOsYzpg5teB0eLDBsvgvf/nLL3/5y+Znx3sGvrwxcEa2LubCohyrBeLbKpP0cEOaxKY7tS4P5WObv//++xM+/vjjUb1DJP8i+/IvyvVss80WI2PgS1/6El+VTAAET9whPvjVQYfNLOU5yloElFYCLLuMhWDNjfMZTPVRSIsOfzCQxycPiQ877DCc28RczQOIy3vuuWfqmj/kxYgeZzWEM8dEmEv/4Q9/wBAbIb7YBJqMlTre0jO3KlX1ASaLADhKKzD5z5JRB/zA0PYLL7yQi85RLNM5BQGWAmSJw0/MumkR9t1cyhCDbE19FltsMaZMillgHlK221uKRRVj+tRRsxPhSQZ7f3y1s3ileEVwOs8KErjBkN0OsrysCGEi54tf/GIWT3pWyXAj4EceyT476s/RI6DgPmbXVLV9zNB7YglIQAISGCwBNffB8vZsEpCABCQgAQn0mAAeM/BhXVUo1txI1QjWOAapStPDeMx+KQ3pFpcvpcUiSTdxQZ7mDdrrRz7ykVIXGaR897vfzb/owmmuJuFtttmmKhnuYjAuRtTGcUpME2pS6uU8pAleTdKaIP5yCJv3WEga4CyI+9gpx0jcoRAG0UwzzRQj0wBG8dhoo1xjwZ3GNwzjFgbr8tLECEHEMx2CkXhIQLWxYSfMjE7RnX1Ig4MaXPEg08dcIb70X2Cy7gELdPTi0gS0GitsDp133nkhwUorrUQAfTylGvOGuQqM06Mf/HCNPv7xj8c0WaDj3pKVU/zZv44az8XaC+Zj0MdR22NkFuBOYZUJkaeddlp2CIGeB0IWGX7OPPPM7IVAWMG9lM+IRSq4j80F5f0XH21jUwPPKgEJSEACEhggATR3XBlWjSIGWBFPJQEJSEACEpCABNomgBcIBLiqbAiRwdT35ptvrkrTq3i8zWBxjNQezY1LSw42y6WHSiNxdY3H8xobahy8kLFdi++FFlqIuYrSM4ZIwBJIuaGGU5OqTV/xxYG7wqwmuJsnBrPu4gaexGPljV8d3NoQ5g91/rbbbiOAd5fXIsr/CbvgphUrT1cWW6V0kxYD8+A5nV0BQlZWgr788susV8DZSFlh/yeO6RzKxC1PE5vxsHNsfQfIWsc1YuaD8otbyHL2ILinBeKfnWsUlg6U1rmz3lJaVBbZp46anoVlGfwEeJg2SA+lYRw38ZMeEuZ74iG67tve9rb4MwuE6aJ49bOj/hwlApUvjFFq5LC1BbWdR6q7pA7bdbE+EpCABCTQVwJhD1U1975CtnAJSEACEpCABPpBgD0/64sNAvH9999fn6z7ow888ACF4K6kyrw9nAJb2rY0hze+8Y24GYkmzLGeiLDo+zjvDl5KYnzDQAfcqAZ/xekN3MjgrAOnK2x9mZ2dXU+pP4bJ7P/5/e9/nzmJLEH6k+0rsXZHYgZRGp+Fg0OYzi5oqTOcWH5YQxAt7sMpmJmICUoDzesTekh9gWwcSjXwbYJL93A60BEoepUBF2BpUVog/YRrVHRnxHwMibkE7Cxa2oruI/vUUdOKodfxkxmINLIY/uAHP4g/IpocgMcEbV39mMvA6BGYevSaNOQtQmjAxK+tN9+Qt8jqSUACEpCABBoSQHPfZZdd9tlnn4bpTSYBCUhAAhKQgASGgUC9OEsNwxg/9UXep2q/8MILlNyyPqFKzzzzTLvVQF7HjBoVmK0v2ToSdRvNnUKqvK/Ul9+ynoEbblX+9re/pXI/TlHuuOMOXIcj+LJZKLXCpzbnQuRF5QwQ4qlx4cJurvvuuy+eOo557Q8zx/lf+8PtCf/HlATCNeLf4JU+PZSGqQA/S12spMlKw2lDShOkkaE+N954Y319gvF+y/owLRFc69R48glnD4r/H//4x2CO/ZnPfOaggw7iuj/++OPsVxxrGCT40tUA7FvAxrBcJv5lUwGuUbwu8C/Oi8QyexLobUdNqxQgMyeRRpaGSUOTYZgebevqpxkNjxgBBfdBX1CEBuSGQZ/V80lAAhKQgASGg8Dee++NzQuDiuGojrWQgAQkIAEJSEACrQm0FNFCAuTO1mV1lwJhmgKqPK2nZbesc5qYMOo222kG815+vvOd78T1Ob7I3/ve984777xY8m6yySZZlpY/W9YhNgR0ITFKN9uonnvuuThaoXwUdmTNSZMmUQ3qg90xnrWLO1WywuCss8665ZZb8LrOv9huE+CPEsiO+rzUUkuF2gaAqNIt/Whz6nZd6LQEUkwQ6oNuG43Ni2lCDPXJvJcUU4bSiG/ZOnbvpMDYY1kwsfzyy7M9AAr75ptvHkpGUg9OZopbgLK3LYseUL1JSVF4X8GtOUo9fyxruPrqqztbElFsUTGmHx01PUtg2LLrkiWkiczTQgxLQMF9oH2A/TEQGgZ6Sk8mAQlIQAISGDIC7GLCoKjfZi9D1mirIwEJSEACEpDAOCYQzKtrGhASsLNlTZrsUEvxNEsffuLOm0DL+jRME0+BnfKmm26KvsymjmuvvTZbbmbr8oPf85i+YaBlPaPgG9Ftu+22N9xwA74B8JGNtSLqLbpwk9ORBcmFPxJjNo7/GUz10YsxkP/Wt75FsbSLQ8GFOmbvp556apNi+50m1Ad/6FtuuWX35wqlUQ4M8b7SVoHsApoJ7mwCjMd8NrDNvJmD7ogjjqBwHJ2TiwR4mEnPheCe/uw4XLxH+tRR0xqGrtjEzXpIM8MMM6TZDUsgEJhKEAMjwHvRjVIHRtsTSUACEpDA0BJg/OYGqkN7dayYBCQgAQlIQAJFAmETyGJ8jAl+w/GkEWNaBlq6ByktIZyiZX3Ii9BcWkJp5KGHHoravuqqq7Jn6UorrZSp7WSJPsdLs1dFtqxn4IZcG1zSsxUnSjGK59lnn40lO0puUW1vUhM0UEzat99+e+y1V199daqHQIzZOwEs9/m3A2c7VW3sMr639cHmOphdP/vss+1WDM88eIqHEibkIW/wJ5Nul0o8zm2OPvpoAvvttx9b0bJdcKa2c6jJNQqnqP+3eI/0qaOm1Qj7muKMPo0shnG1hCMd4jvztlQs0JgRI6DgPrgLik+x4ktrcKf3TBKQgAQkIIGhIYC9Uhj8DE2NrIgEJCABCUhAAhKoJFD0YZIlxfCWmOguPMrENT5JfvWrX2WFNPmJ4w6S4WA9OPWuyoJcWJ8gzUhKNn7EMQiW4MXdSkNKLJ3TLA3D7XK76aabKJkNPD/wgQ9UnSLTyjG9P/DAAy+44ILS9Fh577jjjvii+fe//42UTxr2uuTqPPfcc8EdSmkuIu+7777tttvu8MMPr0rQq3jc9VAUtuT1BV588cXUB0cu9ck4Ggq88847a1KysIDZCP4ydyjp1qmI5tdccw3yfeYVGeAcQp3/whe+UHWKJr0l3CM1NwiFZ/dI/zpq2pAFF1yQny0dYEIYjEzt0LvS7IYlEAgouA+oJ7CsafLkyQM6maeRgAQkIAEJDD2BKVOmhDXRQ19TKygBCUhAAhKQwEQngKlvJk2mRFBvgzwXHYUjWwez32BVnSYO4egdu3ioPgZzWsyQkY8vvfTSmpT4QK85mh0K3sORVoumyjEl2msMNw/8+te/RrmuSo+N8EUXXcTRpZdeOqQJNakxGf7/2PvvQH+K6n78/yYxxth7FzWKBXtHUEEUEAVFQKUpCEqTLgKK9CJFbCggiNhARQFBEKSJopEidhErFjQ21NiSaEx+j3Dym8xnd1979/W6r3vft5zXH/fOzk4585zZ2Z3nOXOGo5iG7TavNRyh2D0ZJbT/6ouHP/zh4n/3u9/5i+d98pOfLBBVt9NHjDIdO6SbRiWYVjwlDdjjCNBRZQLqXe96F3nueMc7jkpT4p/2tKcJ97dOb/oZnGEOX/I+97nPpaK46KKLUOqf//znEdxrr712I82MfeRJmZGtVmO0RW+O4tw9VqHHKuLN3UAtVQhQMHBPRAXSoPvrNMLvf//7/WXgP0pH1Uifl8sNgSTc56PHPavpTGY+gM46EoFEIBFIBBYVAkccccSikjeFTQQSgUQgEUgEEoHliABCzQGe4Uajs/3HHnssgvKpT31qbevKBFjiT33qU51Z0OU/+MEPOm/NGLn55ptLg4FtO9yIvMzVURDhpGXG0iQI6pO5bjh4aWfhCT1sz9u3+mPIcOSRR45iVAnJEv8Od7hDsZW+053upEDydxaLyWXM3rj1hCc8AYeunFFG4khzvL9c97nPfSJv7LNEmI7yuvOd73znggsuYPK/8cYbN6qb+iWIwq6csxQHxnaWz37/xhtv5OokPNR3pimRPMAok/21JpTIOgBGDhjEbLLJJnW88O1vf/u11loLz45tj+wbbLBBI0300be+9S1an8atuHT0bjDjnXdL5AMf+EDkviarq0TWAU9cQ+Exm4EatPiooVjXS98TA/LQQw91uG59q4TpJD796U+Tn/P9EpmBRKBGIAn3Go25Cjt7JJ3JzBW4WW4ikAgkAonAokVg1113fcADHrBoxU/BE4FEIBFIBBKBRGBZIIBWe9nLXsaG+qSTTmqQjC7f+ta3Yt9QnHyO13Csu+66LrlEb5t4X3PNNYjjiak6HCiWmb32q171KlbAdaXCbMDFY0VZKzdujbpEeT/iEY9w9/DDDy+nmEZijCda/PWvfz0ExKBieyz92+W/4hWvYCa89957t4+gvOyyy4455hhZ3C1HfVJaiMHvYzMbpfEks+OOO2rveuut51ZxWsLhu3M7xcC/7XebIoRbGAQ6rrbsP3jGM54hjEtVYFvtIWa33XaTER99//vfvyHGXFy+8pWvvMc97kHIPffcsw0UnU0AxeHP3/3d380oACcnBoBkBx10UFvfo3yuadD3D3nIQ9pkulzB/ut0eZ2VaqQ1ahTjiWCZ3ibEQcqx+5lnnrnFFlvIVfqoUUJcUpMg94UR9L/5zW8aad7znvdQSjWekdkM1Ni9MUqX06jdEbvUG5QKe+yxhzHfuGtzwP777y9Sx93vfvdr3M3LRCAQuEUCMdcI2C9/3HHHzXUtWX4ikAgkAolAIrAYEeCP8jGPecxilDxlTgQSgUQgEUgEEoHlgwDi2EmSJ5xwAi4Y4cs4F/XJHvz888/Hk+IfGbmvtNJKNSAMjbGW119//TbbbMNg1vmf6EKWv7xtXHjhhbya7LTTTljFOsvAMMvro48+GlnMcJsJ9vrrr8/rNM76l7/8JTfll19+OQ7aaZbUAAMLlAyxyFKQJsCJqS95yUu4UOfGBH+tvfzFr7POOjhoJs+qkIDTkgMOOGBI4Qh0DO/73vc+uSgAOKDHkCgE2x5eR7bffvtaMfD0pz99tdVWY02PXH7Ws56lImeK3nTTTfyGaw6K9sQTT9RqkugLhbz2ta/lkmWXXXb56le/CupNN92UC5SnPOUpcoHamZacnqvuVre6FQ1H7czwkEMOwUrThbB216GyMO5GrUJA7zC7RivDZEgbZ58GF0xto0Nhgu82cug/qHAQ1hQPsbcA9awXBta15ZZbMt43/DD48MRrs9rGhlN+YLF//etfO3oXiQ/PdoFGJp7d6bVuYeQNtkYaw1ivobmM3quuuoq0tg5w7ANMnpdQ5zQfq666Ku+R7jqGV6eMOrpp5513vuKKKzxHdBsablMI9zVarX9Z6KOzCdN4RiYeqI973OM0itqMIx3qDc+LYdNoWrnUIwaYHrnyyisJ5hEzzGTh+ceou/rqq6XcdtttTQslSwYSgQYCSbg3AJn+Jc3Y9AvNEhOBRCARSAQSgSWBwKMf/Wjfr0yxlkRrshGJQCKQCCQCiUAisDQRwAMi4Pz4Rn/HO95RN/Lxj388G21+1etIYWym9AcffDAGnENtv0iADUfBY7f5nm1kGX7Jivnd73439pmr8Q/d/Iu86FHsatjnjkW445e1i3nyj3/847qBpMWubrfddjxy7Lffftye4BxHubLplB9D+uAHP/id73wnBrZOgKV1C6teRwqrgvYCXFyW+5W7PhoJwC5baWhQfkioOmgFJCDkKaecwuD67LPPxtX6lVzE5iCetqCxqxK9br+CXKRCyvuVLHh55vya3MlHl2TTDRg/JGGMz3q6QTEztUZM12qJGas2DGDlGxsm+Pqg7CMXRdFznvMcI+Sud71rZzny0o4Yuu52msCLN4A9EccffzyD8dpmnKhUQXQe0hjhtncg03u2RBgDPCMdeOCBlCjGc5EH42+zhSZTtJTICEw8UKmRrDiY7fspyt6FHsI9EmDntdFQbAzd+973vvIO1380mpCXywSBpqpqmTR73prpDep1lf5k5g3wrCgRSAQSgURg0SHwwQ9+MFyRzoPkKmp8Mc9DpVlFIpAIJAKJQCKwhBFoG8BOq7EYUhbK0yptWuVgD5GAPHKwF0ZZYtuLZ/BRVUjMXBdJzRBeYka7xYPKqCzD43mAYUeMBCcY5kHhPSeOzlgsBzIM+ZmK81nPyBfvqUCm1jNmnDEBZpyPdd5aWEDz7oJfZsTdM3jCql27MObM1XHHQ7y7EJv8SF4G16zaoW0npew94unH6FB59Yu9C7YLNI4J7ck+9VvMz6+99loOWwgGKEbfq6yySvgfn6AusDM8p5kAu37UoQy9aWsmKKqdJZ4FfWpDgDJBB+2ePm2XEDFGHdae9b1NCZqso7Hq/U2eeKAaGHwTgYVaBRqjRKrjZbHvwVD0rEWP9A/dOm+GFzgCEwzX4S1Kwn04VpOkzIX9JKhlnkQgEUgEEoFlhoAPdB/r89DofC/PA8hZRSKQCCQCicCyQmDuCIuFSbgvq87NxiYCiUAisIQRmLv3F9D+dgkDtxCaZifUQhAjZUgEEoFEIBFIBBYyAvPmInMhg5CyJQKJQCKQCCQCiUAikAgkAolAIpAILAEEknCfw05cffXV05nMHOKbRScCiUAikAgsFQR23XXX+hirpdKsbEcikAgkAolAIpAIJAKJQCKQCCQCicCyQyAJ9zns8lEHMc9hlVl0IpAIJAKJQCKwOBFYY401FqfgKXUikAgkAolAIpAIJAKJQCKQCCQCiUAi8H8IJOH+f1hMN+S4VPZ60y0zS0sEEoFEIBFIBJYqAulVZqn2bLYrEUgEEoFEIBFIBBKBRCARSAQSgWWFQBLuc9Xd66yzzlwVneUmAolAIpAIJAJLDoFnP/vZ6VVmyfVqNigRSAQSgUQgEUgEEoFEIBFIBBKBZYdAEu5z1eVbbrnlXBWd5SYCiUAikAgkAksRgRe84AVLsVnz2qadd9554403/stf/lLX+t///d8f+9jHdtttt5e85CUHH3xwfWtI+KabblLm2972tiGJl2qaN7zhDW1ghzT2j3/8o4xHH330kMQ9ac4991zlfPnLX+5Jk7cSgUQgEUgEEoFEIBFIBBKBRGAhIJCE+1z1wmabbTZXRWe5iUAikAgkAonAUkRg/fXXX4rNmtc2/fCHP/z+97//X//1X3Wt73jHO/Ds4h/wgAfc6la3qm81wt/61rcOOOCAz33uc3X8f/7nf8r7s5/9rI5cbuGf/vSnbWCHgKAvZPyXf/mXIYl70vzmN79RDvq+J82Sv/XnP//Z+DzttNOWfEvnroGf/OQnYWg8z10VWXIikAgkAolAIpAIJAKJQBLuczIGLGjnpNwsNBFIBBKBRCARWLoIpK56jvr2ox/96L3uda8zzzzzqKOO2meffXpq+fnPf/7xj3/8u9/9bk+avJUIrCgE6H6MzyuvvHJFCbAE6v3GN74BQ/qbJdCWbEIikAgkAolAIpAIJAILFoEk3Oeka1ZbbbU5KTcLTQQSgUQgEUgEljQCqbGeevf++te//td//ddHP/rRt7zlLadeeBaYCCQCiUAikAgkAolAIpAIJAKJQCLQQCAJ9wYg07nMTfHTwTFLSQQSgUQgEVhmCKTGeuod/u///u/KTLZ96sBmgYlAIpAIJAKJQCKQCCQCiUAikAh0InCLztiMnCUCuSl+lgBm9kQgEUgEEoHliQCN9emnn7482z71Vn/zm9/k0j18R/zkJz+58MILVfHwhz/8/ve/f7uuf/7nf/7d7353/fXXu8WTeyRmF3/ve9+7Toy+/8QnPuHoTsXe/va3f9SjHvW85z3vdre7XZ0mwr/4xS94iybD73//+zvd6U5PfOIT11577X/8x39sp2zEOPH10ksv/ad/+qeHPOQh8p5//vlf+9rX/vCHP9z3vvfdYIMNHvawh0V6XtHPOecc3m+4Gbnf/e637rrrPvKRj2wU5dKBsZrGK314Ub/Pfe7z9Kc//SlPeUo7ZcT84Ac/IPb3vvc97sK1fa211iL5qMTiYXXxxRfDWfp73vOeT7v59zd/8zc9WfpvAfaiiy766le/qjvudre7BW5///d/PyrXv/3bv4HrC1/4grNtwQs3OD/oQQ8alR4UV1xxBY/8f/d3f2dDyTrrrPPQhz60nfjHP/4xHL7zne9AXv/CVkfrx3bKRszXv/71G2+88RnPeMatb33rb3/72+edd56ipNFHz3zmMx/3uMc10sel0aLV1113nR6PcaUVd7nLXUpiI1PXAFnML3/5yxifhkRnp5dcAgbA1VdfbQwQ4z/+4z+0RXvXW289nVUnAwtAVl11VZHquuCCC7RC3hD7sY99bJ1YeNz0JftA/Il62WWXffGLX4SMYwDufOc7P+YxjzHIb3Ob25Si6idF5K9+9SvN9KTvuOOOJU0JRGKXYPT385//fPTLmmuuWZ/rYDxfcsklxrMn/a53veuTnvQkj8A//MM/lHKGBEohBifJH//4xxtmnc/+wNFrxP71r38lqh757Gc/++lPf5rzKwU++MEP1pX6KKSKsae6u9/97p1ywscpCIZWuRsCXHPNNXYCwdb0qMBG9rqv9QthYPic5zzH8Ity9JEBaa5TuEnDrRgwZgbjLQZVqVFg4Bios2Q4EUgEEoFEIBFIBBYdApOvBxZdU+dN4Fvc4hY+auetuqwoEUgEEoFEIBFYMgjgemo2ZOrt2nzzzeftxEXkICb08ssvR27e4Q53QAO94AUvGEJZzqbVKGlEISfXOLI3vOENZ5xxRqO0GvprEQABAABJREFUvfbaa4sttmhEunzJS16CHm3EH3bYYWhW3BYKCQ+1zTbb7LLLLpipBz7wgbe97W2x0r/97W+1yKGsiKo671lnnXXMMcfg7PC/EjihEd/Nj/zRRx89I0OKccbxbb311s9+9rN33313DBdaDe17ww034NZf/epXb7nllueeey7ZEILoLfQr6hATJ/FWW21Vi6FePuvRcKTFQSMuEfQoNn1x5JFHorPrxEo47rjj3vve94rE9WPfcJf67qlPfSrf96973eswfQFs5CKMeP7xffjhcAGOnsYX45SPPfbY0tFisM+4wje/+c11dZ1hpPOhhx6qsSuttBLWD9QOSqUkeOtb36r2t7zlLW9/+9tXX331kpc8DsCEgMRoR3VpoIZsvPHGe++9d4Omx8jrfcoSaKy88so+VjHLWvHiF78YSn/7t/+77VV2tbznPe/RLow83hy88qIOtRcapfbOgON5P3bzzxh43/ved4973AMvSTDgKPmFL3whgRsZP/CBD6hRRxtXSHb05Y9+9CN06p577rnJJptEYsOprYrbcMMNDzzwwEZp9SVnSgbMtddeqzfhowk6VHNs+CCnUV0SQ0xLTznlFPhTEhgb0oPIQ0EwA9J4I9LE6WUciL+UFA96yiODrSaGrsHwei70smfN4xBilCdlt912O/nkkwlPVLe+9KUvRYL6b4zDOibCmGJ9JCzv4Ycfzr27fjf+sfAqNQI9YuLbKod2UY1CjDE460pyquKNb3xj49kfPnpNa8RzCoXeRI7HONGV5jpqEiPq+c9/vtp13P777//Sl77UyGmLZzCYUp7whCeceOKJcfcrX/nKa1/7WjjH42M2M6dpuMfB0ColxNh4//vfj+g3DCg23AJ4qOI+9KEPeTzNdWaYO97xjjHXmTaNTI+qmUHGUtTwMVCyLJbAbLSM/W00C5n8+9Pk3UQgEUgEEoFEYDIE5u79NZk8mWsGBHwWWFHkLxFIBBKBRCARSAQmQGCGt+zsbiPcJxBpgixsPFE2WKr6h39hOTtBacOz2CKgRuyPLMgylqr4KTEYKGE/dtOdpWGd3EVpSYw/+p+kP/whg02JEVsi0dkMbA855BDFRgnoyJNOOsktdBj701Isw3ORqFJ8bolkFop0Zv+NxSuRnQHly37QQQdhx0499VS1RDKMLQHQ2WeffTbXQ+x/S3YV0Qe4hR4tkWhoyhv8GtoXWxfxf/rTn8gsJUYMv1YSCyAE1fuqV72KgqHE42pxeSJ33nlndwPYuIvaE4MYRaJFDBWLurD5KGzhiAS4ZNArZY4KaBHBVMe8vaRB+u+0007PetazMK3KQbuXW/hKlJ9bn/nMZ+gSIh5bTaR2jRq+0UYbiX/nO99Z0IDAfvvtJxKjWor98Ic/LAazWdqlcJoAhrp+BkNJ2RnQcbLTZ+g+BsUlDcpM09xC6ZZIAfKIpAQKVUHccrDni170IvG4+IiJweyxEvmKV7wixmeRsC6wDm+33XbSH3/88bQsJd6GCSoQttu40RIJHIoc1O1zn/tcwJZ4yo8jjjhCIdtvv30B2d1x0w/HX6fYCgBqmBcxPF8UGMRQbxEjnpRQw7i1ww47eH5r4Ut2ASUEaNFBBltc0rjEXdkVYlTjxyOjLGRYY4017AhB4kdkz1/pSyFllgjJDVQ7SwzOkn2s0Wta8yzvscceNGo48VKIkQ8ohaP1ReplM4yUKi1pSuAjH/mIBtoxEzHmE9oj6Wl5Sxr6Le8IyeghSmT0tUfPZEJjRBclHBPpBz/4QYmNHMO7pLd7wOCnnTLG3Crxw8dAybKIArN7M/flzpX1IhoGKWoikAgkAosOgb43UN5bgAhYTi+6QZYCJwKJQCKQCCQCCwSB2mfC1N/y80O4Y2xRZoiYzh+b97mDuibcoxaMLTHwaEMqZcIpMUapThyEOx65sxCm6LLw2hFZmH9iw5F0bTKUywXUGOKyLrwdDhoR9YxJbNwNKl91rEobt/Bo4pmol3jG+GLYwpeYEmAr7da+++5bYth9i3nZy15WiPJyC0vIwBldKEEh3OkPXG677baF/SzpyeYWA9iIGUi4I3ZDIUHzUYqKAJXDK1/5yhCgEO7SI/WwjTX/GOmJFJw76/tSFPt6UqGeS0wJvOY1r3GL95KIwX0jCmuGOuKD8D3hhBNKxs5A8LkEw102EiAiVWSfRInHfeto3Hqodkq8AN6ZIseACdP4uCWZEig/6pSjwnY2SAyKdoLoI6bH5RZSFfcK5Db+0hj5ikJnT5x+OP6ePnW1R7iqo1s9RyFGPClo6Cc/+ckNNUaRsx2w/UL5wKlv2dghklF2HRlhKfUChVbR07TTRExPIUFM23MTKccdvaY18w8VZntYeuRJXgY2C3SXnVoHA88arZRgnEt51VVXNZpjK4DqzGACccvY2HTTTY1GeqnQT0S8qdWTIr6kLEVRAbql/JpwHz4GSjmLKDD1l3UpMAn3RTQMUtREIBFIBBYdAuV1MxeBPDR1+qh2ukadfjVZYiKQCCQCiUAisBQRaDj6WIxNZCvNSnSU5HxZYHVH3V2w8T6gUdht8ZBTIhFMcQsty5CTjwveMBqJuV9n+o3hwhE3brUveYpo+IeRBjnrL+ct4UGizsXDtUvm8xHJFBonjvZFh9XJIuysHd7n+Shn5Bsx4a4E9dxww+KuAcnCHadWl4Or5ejj9a9/fXsjKuc8PHKwE8fN1Vn6wzzjo5gx+A3f4nJx8cGhTUMAXlvoNth6c9rTKJlI0vN/wscI8t1dJCPynXMS5TcSuwznMyjRuEUMzlVqv94RT4eE+eoZ2HXJYOf3o44R1h28AJWhIoaExhUrezU2EvPCxLMHDO1yaNwaeGmjgJSY03b6VVZZRSTCtL6FBUbCtvGXxgYRo465/WTpx8J/XLE/9alPvfzlL4/HsBZveJhGB1fOHYrx3871iEc8AmtMD0Gn1b5bYkohhlOJLAGcNUdG9HkRM9bojSxGMt/07WEZD3gZVNx2Sd8WlRKUSonxe5TAYN8uCrsZ6CqKkBEgp+7mf6YuRPkGBv8z5qWS3jOu1WZFWUpkBHiSacw8Y42BRml5uRAQoK33o+WaN2HMfpR8NGo0waZ6qq95q3pZVeRJ17OUdgut1XZ9Eazzu2uhiTpv8lDkU9z6kvF9aCOder28oNR2nzhvIi2WinI4raieSsJ9+sgX14rTLzpLTAQSgUQgEUgEljoCPFYv6ibiK1FgPU1AWfLn0JNgYd7Cu3XqQrh4JjB+KsRmgo2TckZiZyvCazZPI51360icNQawjhGOUzR9aNXetCNN3MJqxWV0AX6/UUK5dAvVGwygAOPrnhM4mfdivUtetXA1w209ArpE1gHNxIYzza4j+8OBiYo6k6nIAbb1LQ3E+BcX5/UtYR7kdQGSNIhI9vtsw9np86ndSOkyzsaEABxcQl5vYh+CrC/pdQdnPjjHEtMT6KS5pTda6GNCFUHt5PRI1YWypF0ae2SzQTjMad+dMYbrbXlrR+0lS1Dt2NISEwEQNWLiUtvZv3MbAtI6wcD0Y+HPRpvYnbx/p9gY5LZqqhZyxjBX5mhE7POo3UXxHPVPa6WQtu6EAAYem32e+kOYsUZvZKFGsv+g3RYnQ4gs8w838eYHEyx7/DpxnLJbFHWmKXdHPW76Wisa05RdJg3tmtELfBtT6opKuFH4WGOgFJKBhYOAnSV+7Ulj7iSkcTQb2BKHavfG4SRt7upaziV7WetZB0KsKBC8fJH+jZcLYbwrCcZ6YEUJ1l8v3IjtbdWfbIp3bYkLbp32VDhOK+EaDkp2Ik6xoqkXNaqLp15RT4ELfDj1SL7Yb/3f4mGxt2ThyM+Aa+EIk5IkAolAIpAIJAKLCwEbxRAZi0vmWlrm2zOaNqNBO3nAupyFFg5ivS1VkHScJsctXtRZUreXjnE3ONwhTHQnuR+FsH1uixFcWFDG7lqA+RsW8e3EYnio8Df4aNav7MfZX3emFInfZ0heDpVlY6W9SHAWQ51ZWEOL18zGWbKdiSNSYix5HF/ZmQyTGLbPcVcDmZB3QhEJNJAHHg1kzR2SK3yUwAhl9t16TS8z57eO5RKH/26jlAmwEtqWxZ1ClsgZRwsFhicFe9XTR0rTCs5SHHM6wf5RJK9fiGTgKcTKnH8kIHA0VEQtAUOobZVf7lI4OQNZ3mB4xQ9PPxb+tTKJTsKmDf3ih18I1riIFAG9U2dp3B1yOePDosl+8bCMKnDGQmpN6lijN2r0dHQ2UxfblVLmH4l5nrHHiC6tVvvZQUKjVgZb9IhDdEc9Eeafepqi3Cp5CwL2x7Bkb++JiQSN9eBYY6BUkYFliwANFr2Ridd50Q5R8GpraECXLTJLr+EOMtHdjpQ3zS6i1pk8bfLzaeRMlPkRmx0ATapza/gDZCjQ2PY3PzJMVssi7eLJGpu5Gggk4d4AJC8TgUQgEUgEEoFEIBGYHAFWJDNmHpJmxkLmOUHtS2FU1fhTXs5RhLxyj0oj3iaAnrtxq7YobyRGfjVi2pcsXpXQtpEvKa3WhEMSbtaFMXrlbjtQe8iJ9Gy7/NopS8yQZpbEyuzRMUhWiwdnQ6g/fdwNGWJdaj1fqusMSIwof9CDHsQvkPXhxRdf7K8fJBGLVrlOjOyBtC5zyGgJ2aIj6rx1OFpR7JfrW0PCGq4tTPCuu+46I1MW3j80kIcTx9s2SqA66hl1gX8tyfD0Y+FPKroBriRYWIdqRwwcbAWg/0AcN8Qe2CONXPVlNGrGjghKvc5Yh4cUEunHHb2Ra8iIipTOQ3b8A6AK4Q5GfDePNEXg6BHnT5SYdqDm9w2bxtjA+1Cs3v72t29njBhZ6plq3DEwqtiMXyYIfOELX9BSTpDst1gmTc5mNhAwJ9td1DPJNNIv7UsKpzBp5/Ir3lY0pprsiBF/G1sAlzYUk7Uuh9NkuM0+VxLus8dwoZdAJW4PrI02ji/zjWvBwPSs7fFzoTcj5UsEEoFEIBFIBBYDArUh5yh5h6QZlXchxwcphhlkJd0jZ80d9ySbzS3sGKNXn0ANLxClzNiFEKboQaX5Rip324H6bjQTr1cYvXZ6MaMcznQmJkP/xoj6LgG0q45plxkCRwOD+Nt99917LLiVwAQ4ytFBLMg447aZnVm97dvI37e97W38vDujEvnerm6CmDANrm2T24XUrWjf7Y/x9csNiK9fS3EekP1FtYfihGlem3Cvu7hdcqBds67D04+FPz0HF/zIBb5KKK5skvDRHn5aeGVpE+6jRni7CaNiolEzdkSMpf5C+sdk5B139I6qcVQ8DYTzBnitodEJbUSAVru51yN+TjEdVYj4Gtg6HFmgoSENxzV1aXYn1CbJqnN3+DNYF5XhZYhAuMgYtVVoGQKyDJus9wf6cFsO4NDpmm9NxQ1/a5RSfssBgVm2MYfTLAGcOHsS7hNDtwgyUgM6z8cXZ9vpm/WGuYllx7RWTYsAjhRxUSHAUenOO+9cRLZl2GAulxlY4QhYRtrrymyQKStDS1wAYy7uWWNJORvxHGN44oknlhL4E9h///3jMkdFgSUDCxkB7Bim1aMxSkgLhlFuf0dlWSzxZgBOTswP87bFeBQyLIKx7SaNQiI3UjIiFnP3u9/d3/D/ztlII019yadHuQzSlnXVFJtJBj5kkZ7B5pe6SqAWAM7SRxNKgkagbmAIDIqxBFYLttfPMbDIZQy1Sd76/yMf+cgoIRsy9F+G9frwVvSX1r7raDVs+0EHHRQHadYJOslli3nnK4zSBsXwqM3Ah6cfjr/3qUOV+ZF417ve1f5E7xS7btdk4dIRT3jCEzpL8CgZnPGwdCYQWQoJe8N2Mm7iuS2y5sfvjzV620XNGMOrDL2FX2y14YrnSU96Us1d6hHTlMMDepwyzVgL/w9s50clazirGT4GRhWY8csKgdDnTWWmXVa4ZWOXKgLxRPh+nv1Kc6lClO1amAgk4b4w+2W2UnFSecQRR7StYEq5vnrRl34WUfvttx+mrNxadAGLE7ZXRWzf8T1uWEuyDCxwBGz95s+uCFncsJaYDKxABDCJzFfbu8stX2f/GeQQnrrr662UOSpWYKdn1WMhYMfrrrvuOiqLN+8EDqlHlbbQ4vGzV199NVukTiaL226OTTgn6TnOdCoteuxjH4tlcxgAtDsLvOKKK8Sj4fwlqj0HfGQzSu183WAbfVmVcihUUKL1t0e5FYELLrjgYx/7GBcWxGjcGnXJRTiG7hvf+EbnzmiM5zXXXFPn5VEanwhPVtt1fAlroKVpUKg6RTyBIV8S1IG3vvWtpvQ3velNZGBG7WzJxqcUa/Rtt92WeMw4fvSjH/Vbytcl94Q9BdjtK6+8kll0bTlesjicll8FDRxFgpeU7YCulJfj+zbbLnHdm3VeWUbZysEfng3H3APTD8ff68/xtqMMYkaJXTdhgnCMUg8LnrozO6l4RHGqaufdiIxCHEbK71BnMlMivy5xWulYo7eztP5Io9eJBTw+Idxt0aB423777esseoRHfk8EW/g6PsIG5Ktf/WoqBB6K23dLjFY4YMBplp2KCtYDJaXA8DHQeepsXVSGFwICdv84J8D3sMmZAslgWG211Wo3RG0hfcQ6O9Goowg04zHUdS60Cd/EUhJT7LnrkvLPXzZzZl0BM7CtYyVZBBym6rGlizVV0ugYYw4W7pwt2csrSo1EjbxiPNdqabyLtUi7nE9APaYoZbIPiJ0ijdqHXBLMDB9NBg5zBDvDorRoKRVmOblkoJBIDOY+8Cc88L2+V155ZQ9yrQ1ty2by9PKy7clU5tEGpql+VH9pOwS85Ue9XpVPDMhbpPAc0KiOVJpsZvDlAAHlUM6xH+KLv+5rwiAx5JXGX9NU9HWpVzyVXt31SuYeTWLq2Hhp2nzmNaR1kqnFJ0181TREKpdGl/6Fng1AEHMEiI168krgc8IQXWmllcJVS8nSCAQ4IkHkr1dtiC0MinrVFhmHj9JI3/hLzRzHhwA8bpXq6FANUb3glj4tKuEYSJ6I8InvLk4sut7Y8xI3pEMD2qirXE7rKZixi9sdWmQoAap9H2a6u+jgG+NTAifuQMkzztOdD1R+qNpDtz2cJiunCCYw++FUl7ZUw0m4L8GeNQ29/OUvR1oNaRvO3cL4tNNOa2zPGZJ3gaRhG/Wyl72sCOPdWSbiEpmBRCARmBYCPlW33HLLOVr2T0vILCcRWLEIWPS+5jWvcXCfj+mGJGuttRY6vhG5lC410AKbETQnHu12nXHGGb466rd2O81UYqwh+Yv4wAc+gENsu8Iwj/n+YW2A74jqnv3sZ7/3ve8977zzePduC/D+97+/jrTyYSpuhfPlL3+5k1I/5ZRTfJyM5b6PAM44RXZ3Eu6XXHJJbeFOmA022ADhriIGFrVsEaY8uOqqqyzvY1WJd7YcteakA2jbWFikaSBiBdOnabQFFvwNwj2Kje0C0GvXOFmMVjCcd4RpJ+z6yIJwq622mqBwS1BP3yjusvPQVLXwmdNJuPuwxNt6rhvoDUw/HH98BzE6xbZa1uMTQDFjFitz+p7LL78cudM5aA0zhfSf8xyFoHI6lUC+GfBET33qU0OhNdbonVH+dgK6f0ojB/+q17C3NPB81clMU7ZrmI46CXfEHEav38O70swtCHf+4t/97ncHY1WqQEUpvFwKDB8Dda4ML0AEcEyHHnqooV7LZiltsuWGa911163jS9jDS9ncWJ4bopj6Aw88sOjgTcWnn356yeVN6ufSBO6NU+IRpmb++hjtuOVlZ8L08m0MyDiWg0cjd8l/5JFHUjjF90kh3PGSJGwoihR71FFHeXFM8Nb2Kjn22GNVV8QW8NzZwbzFFltES1/60peWL6IZhWTjLDt82q6rSE4lvMMOO9R1RRip7WPAqRiN7zFfaADpfPVQRRDSZChXu8CIAaAuQN02PFPhl22rMg22Mz74wQ8GZpljDzjgAIlLMmrvCBsMFPbCzm3WX3XXY7ctwdyyydi5L8ZbnMYcGf01okw1DtptEztAs4HYCzdMxUsW9R5++OFoeq7MlOayfydcgFOyUyqESGLsKqtfE+OO0lJmHdB9pXzxTLvKpQ3Quu8973mPyVbvl53x3ssiDWwb8k466STvL7jVZRotu+yyi0FYR0Z4uk/BjF1cd2inqoxU3mKa7NsjzETE1OPTq8p4C/1caY63kpcshXFtQdIeTpOVE7VMazgVmZdwIAn3pda51n6eydCXDmwb5dumm25qmddpjDawkEyWCCQCywQBn8jJti+Tvs5mzgaBzTffHIPpwEnGR+EIwirL9z3zz9rEaTZVzEXeWKXHoaCTlc9RMvqJQwxs76Me9ai6EBSw5as1J0vAOn4uwpYujA8sL60k+eioMbdOsApCfFiMFQM3XUM2bsoZqxbuIwRDRLqlN+ttPQq33rbO0diGqZRKLbZZ1rdNvXpaivoHF4YCFdggB3H3+BGUaG1PwILJCll6ODeMuDXN5kW+CAqRIUxgi8xDDjnEkrh2UxBoGKLBa2smVp1pMPmLOVWIjWfH+0OMOWFPQ8a6pVJKDoSF1jWqYyEISRZq9ap4+Phko6dfEFLQa1gg0qxYeZITKV9LyzSM0aUO3Wabbep4pL+ONoR4hK/jh6cfjn+MPThDpl4qW5aXxXND7FqkIeFODBFP2223nSfCk9swbwQXs3R6iE7dUl1jFML7v0LqNQV+B5WD7SpdOdborasYHsaG454Q4mjKtimrLRoeNKQVamazzTari2Udia5CXI7aHFMSM1ldb731PIMeNJNMmQeoFvbaay8bAtReEg8fA5HlHe94B/Wb58JTUArJwApHwDRo94NdPrqesbaBREnJHpYOz7Rp8OOXvf0bcuKIDSqR5vaNN96YdspDgWzFfnIAa3L2yAQPW3ZL0FtTgNG/4k9lrJ9Kt/bYYw/KOebJ6vLioKLzZe6VZMxgGL0psMn0pg0xXBre5jHyU0ox9UXmRhpii8cJMIEnj3e095f50FxEeFM0je8+++zTLnBUDJYTOe4u4o/2i920JnuH0kyQLU7MHpV3lJCmEfIQjIS0d4T3/kL4UmZQS/jc8nqKF1kp2YahnXbayYsgcnnPaqDaESbaRXFC39wJVClhrIA+BaOuMcXZXsOO3kxiwx8VuImUnTKVgM+J6E3cdOjXyU8MWaCkujKT9FTNHN5WY5KbfHwJMO5GueJewU4GbDKc6zcI8E1KEoAIevQEshjMDCBOPfVUEDXUBj1VsyuPEW54mEJN9R6ESF+fWzObUVrX7oUV1WG3Qg8Rl9L4mKxTtsMeOr1sqvfQkc2j6tVvGetb1CCEs6e4zjX1p2A2XVwLNirskWfc47NN53qc9YWBYSKigfD2AV1xyjqqhIgft5wpDqd+wZbG3STcl0Y//m8rTOiUe222PT4rbZc20Zjr2Xo0FOzeu74UbSVeUnBkYxKBRGAOEMA91aVaG7DNsS3RzGOGqW9lOBFY5giwXMOVYMcshHBz9YJ5wSITfJ9VjYWfBarl4rjnu1rOoXQZxOHvEJf4BXt4rdVj3W4FaIlb099zBwUrP+ZaVh1WIIxVcRNso6xFURsYMZqPTTbZpNRu6U4wSxfLdcKzZUZhyIgOtpKX3dK0JtytbVAe1mysHCyhn/zkJ5sAmbUyyrZ49t1VjK1KFf0BmNANsNJC2eAl6S3KEprAOG6rd3xoKSTSAxkXjLKxnkQrIxdsMMc7IBQstGoXBEwr6H5iYa8WaCAFGKBZn2NnLDuD5VcsAXj/sCZne2hZzlBOafLiC/Qj2lcXFzFmGbDitSTGDkDYaOHxBhuCeuAOCBXFpAvCdXUWkCh45AWOAMhePcFGdYoBRke88iWy2267eRg1zZ5rHQQuhavO6+z4449nBxe+CPQgRgmbJhm0kWLYHLwM6tN3skIaCqSx0g/EH+mGSOJ3wiD0IwPD9gAfQcag0vgkvCllRvvrTkxExjN+wgknUCS4xPJAmON1xA1zVCyz8YzBQeWgEcHF4hXti+oaVWCJL4VoLNg9FB4iz5q6PHeGaNG0jTt6SxXDA1ghAhgnZmCUXzsjpZQ1ES1UdDc9E9tGUHvcjECPT9tEtF2Ip48iwXBl18wjvPFs0tBkvJ6BZPLR0pJr4BiI9MTWQZ7okj0DCwEBMwZqGztpbizymKsNNnbBJk9Tltm11k6ZQ0RKTNFbO1wyRM26hx122Nlnn+3Vgys3vyEH/SS2MEe4ezwbej4DDLlm9vaoylW0pyYx7C1q20uBnxkDW3VFwhIgIYbaK4DFuld8iZcY2465M90VS1uzsWcfaehxJp4JsN+vVCmNig7bboY0vddA+ZwwybPyptdsTKclr0CnkPad+IpAKdq4FnutIgvwqb5IbjFC2eApq/e0qQvb7nuG+k3KyOI5NdPCyktf/MBG1RKOCitQ13j16KOSBp7YXn3ta0GfmlRj/19RQHoFm3PI07m/qpRTB4woM7kXXFFtapT3ha1petbMZlJSYMmiW7HtvnPMb0Hru6V/Cab5CHeSG34lfU/Am9fAkwCljnBXSFzWWWY5SuuivImi/J///Oc+Tb0H29XV6UvYB5ufdtXHZRsD3rAGmG8hmJi3FViyTPcpUOxsurhINSrg28Dw9h2rOaUVusM8oI/cMrH4kKsfls6iJihnisOpU6QlFpnkyJLqUNNEw/LUq9QLu2H6ZMHmLehRqRtvCjP7+0SoIzOcCCQCiUADAV9RdYyv8B6+o06Z4URgeSJg7TeEuFkg4KAAMHoWtIgkIuECxiXc5cI14LmQg7gJv9I0cwW6tmHIXO5OPYCJQDpgJ63ta5f6FqgWw2UhVOrFC6CqaQuYk/tFvOWZjysLV/ElZQSUYPnKWME6v9yy7LGEs9G74XukJOgJYMyR2qoms1+kRIYif9H3DWWnu2qHsw3geD37FEvJltA6ruETBvFnAWaxrQoEd0mMEkXQ1JwOrtAyXmLkhV9JaZWusZ0uOEqaCQK4kmh1Y7SQH8nbME5XPj0HO317EYRZMfe8gCw1cR+2lluOFsHYxKkOMQFSX8IARDcE4S7NGmusAU/DBiYlixVsY9Febg1PPxx/yHv6EBl1p4BdpK/6cMaCspmYcOdtieUNEz+jVEPwMqHSQAZ52BvjGWVmPY+Lr9UepfntQCnE6qPclZcxJg1HiREYa/TWGYeHDQ/2m+a0YjVc58VP6X28lcendjFkutYFUKoTjwrTIJoZ6GzAiORCZVIImUKxinqcGWBtZDp8DIyqLuNXOAJoX3xfTSIXkYwZKl4qTEPCE1riTem0MmjQmm2Pu94XFD9IWL4daHaL6W7J2w54sVLDUAnX01pJZmYzgxmBuDZ2x42Rj3JVEW1Bw2eIlwtNLZsAnigK217K9Mr2QvHWoJDDCM9Iy1Jse4JkR+O2gfIUmHlo4EhSqqgDo4SMh9QM00kgekcjN9DWyGvvlChQLZ5uk5hprbDtpS7x3t3UDNKUyNkEKLANANYVnep206D+haRJKQj32dTFUlsXF7a9FEXxAArOefSpQMSbl+KLgv6jsO0li28V+CCL2iabJc24gdmM0nHrGpWeYp7RQM22R0oPHW0o5Y31rEm72CVM9ykYJdUU4xlA0IfVbHspnNrJ5i2GAp6mGWeVccuZ/+FU2rVIA0m4L9KO6xDb/uXGC8PMbplR69gjm8W/icaHpvVDXZBNN14Ddcwchb2JKQb8tY7y3m3XYjM7a337ZzWBZZzVYDvNLGN8+qiCiZDPC1CYfGdZYJ3d1mxmMixTLNJq84E6zdTDPutV6iMMxQAxq8dObGes1+qUDtnbFyydJTD4sonMLQl00IwFNhLodzu2vNRJ6KOkcXfiy9l0KLtFg4ExEdw0qraMmFiektEw0C/g8gk7Lv8yrQfBB6g2WkiPahohdYq7RuyMX9I04aV1AoWnqCMznAgkAisKgcaXADHwTUx6h8vDLwRFmheBLHGamb89JbCmad9lAG6Bx+KbhZEZxuxnHRimtTNKYrZsFxi5zNKjbpnB2rfCjYMlulsWFfHhwRB11ERnoY71sGz2TeWtamEvsWW52hkr+DWEx7AwW7Oqt7DxEvEGgYaJtE7mM6MtWJ2gDmPr0CXAZ5Rn3oY8AeLdgelol+MbCWWAg3bLNK5dbOGBX5dZwhrCeBlRK7EqvDdVp/z2q5wlMjsM3AEcfFd4WeOpy7q0FNgZII9f5y2RtQKmpFE4TYDVL9Ngr2OIMX40bkuCOgAH7LPPSF8jbW6oTunNi/GhF4kj+8DI7Kvoe6gx/Or0EaZv0PboU59zMQaKGels0g/EX/MRW9DAFwBfF7OG0VNRNWWDX4R7npS2nCWGwaCdNz6A/bSrfokDFkHmmWXb7l3vlp0B437H1oX4pMRzKaTze2/46G1Pa6U5Agis+rKE7dvwK5ftgAcWMUT9hvvzqYYcN0LMVI3u5gKinbeO0UC/OkaYWwx/G0N04BiQkZJDp6NLGsXm5YpFwLc0MmuUDCzHWYKbOVm1xwJcwAvFQ13r8OrsBpvdM9RRQwh3EzJm3KK1k22PYukgMfsGrVdwg3A3E5KwwbbLFeoBKoE2Kx1lMrRnwu9Bowgc5aS+NIp5O0rOyPfmLZF1gPw0cCbnOrKERwkJRmlsoykpGwHPi/VOvYk/zlHAO9NDNBLHJUm8PRu6wM6UQyJDQvibYzvTx0utlrAz2ZBIvstHdZZXGMLdUCnlwMHr3szsdV8i64CpnmctuqI6cuLwLEfpxPU2MnqyjPZGZFz6svLVQWlRE+7TfQo66516JK38KArLMPBdqoFDKh2rnHkeTkPkX+BpknBf4B00hni1FVJkw6q32fZSIsMfuuJavVx/1fnKtwO0JLbe6NxMavFpaVSS0fn7VI1L+nzPebll8WBF50XIKEm9lpFumdrsWo00VjUsbuzdtg5svIoYm3jNU716VZQCrcqosl1ayZdIASve8gq3YLMht74rbA+R95CvAcuYuGWVblby6prlnjJV+8xi5GJHquZE4T44iE3F2njJ+WT56Ec/WsvmVcdgoY6BBkxKjCmVbWDDUtKiSDlK83rDDpTEXvZWlbYlUmw2Fv/S1B1nCcqYS6R+8XHmQycKwWswjvBJVJTh11xzjWFGAxytI49FoO9Ouxobi5PG+CEGCykSsibjTLOo0GlcfLf5Bq3Xe6UJAwMTdygrFSPB56NhWerSEJ9lTJMs0Uet9kvinoBhTLfsSKW6cEjqYj1iOTcq77gPQpSjIXT1pUxkmfFmQLLeYqkaG18s3ho2Fx4inux0aDBrsqMnZPQg+EpufC+Wx6o8OFEdc4mwsEDxsCFVqY/XIolAPPt1jDCDU49JiWSGNtCarGQpAb4O2Af5lCwx1gwN0864BSJAlWT61wNVLjOQCCQCBQHva1bS5XLiAIZ9IMk+cRVDMqKhfUUMSRlpvD39Bqb3KkSy+w1MPySZ1eDwreUKRIkytR5SsjTmdluqZ0zsdTAWDjMWOGMCTJbfjMkkwFqWL5MZ03tD1V+PM6aXQNt9QPoNSTxu+oH4D0djoJCNZL5O/RqR0Rafdn7tW8NjADi8kLFG73AZhqdEu487QqJwR9j5BPUNzMywXV185HTOJAPHAI8NwwdhW4CMmQsErIxGMVyq8+o0lizfeIWKNTh+XDy9bKfOKSSkrbHhw4KOPVNjlddogpWLGEuJ/hWKMYlwJ4Nv8trUxquQ8XujTGlirHZ6XiqJrdesmJQ5I+Fu3MrVbwvvK938Q+dXyi+BTiHdDT50FIxWT3TqktVr4ZCkf3UPfKtRR30UASYO8L2j972eRpUQtdQSjko5Y3yDMajTh3a2PokncOjXPro7LcJ9lqO0bstswr7K2jsASoFQQrgHHyVy6k9BqWjuAkZa52o3aoxhUBrYI8a45czzcOqRfLHcGjkjLJYGpJyBAKOtxqni3txYp358UKVe7SUNWyGzc1iysMtAHJdbo6ylnLFQk+P17ldfGOyDSgn4d5u2sPw1/1ju2v/FpK5WxpZbAoTEBftRsCPZQ0Ll1BKW9KAo8WbPEi/AXEgt1157bR0pLBnC2o8hgPItdBsJhlxqry1ywWzW6X1M4Pj8fP0wSvIZEXdR/DbcmetLYoLpRPY+EUNaSo5aneAjqf4O822B60Rc6rhSSAmwKqJN8bNBXkXlPJNIUHecGiEAmcYQQouztsCPI219NbK5oyypaU1Q62KUpdM52KbVJnKN8UNsX5/0MY0e8eUho08oEvpMKcIPDEzcobREqGcuDtsVQZVlih9gNa3tc6CdpRGDj6bP0N5GvEsqKIfY+Hn0uAetEYvEEzwIkZEH0jLsxeCv0dB2LBb1SSQrf3UEC8Qw/SiRAvqXMY6fzTE2GNYUVV1+ncXHd1zGt53R2Ejp2W+3lEKiTjabJaUBbCDVs42nrPMThHahnPBOZsqkuiEZTgQSgUQgEUgEEoFEYCACeAqm976Ww0N3nQunxnORmLE0Z3UJvo192Aw88q7OmOE5RaBhPtWuC81nCcCiJW5FoDg5aaePGIoZC1uJ64VeO7GdTyKLsVo7QcTY5xR0tt0qte0d2djaN3JZivp0p+HrX/+G6qi0q1FIfWkN5bJTC1WS0clJwPqtxJRAp5DutiWPLB5ABAIjpwbDgKAQQzvSL4lC9OlUCHdbZPxKQ0rAehmVYUVmSV4iZxno9KsTZYa9VCEH1B5mzv04cGpvsdbYxDyZkLMcpZNV2s7VA5HEDZQmewqspu0sbFctxtPUMEbsTDabSFxfrU5rFNVoYONufTlWOfM/nGpRF2k4CfdF2nFNsb1Qa02m2+zBe1SskR8F7Ncsa26umdCy4O7Us3l5E6NYPffU78XMhVx8wvYk67yFkURYN17GjZQob4bYrNQH2liV7JQBdqSWd1uJrwM+ndHxzmaJl7EpkhM9m/6KoptsOFC8duRC2tZsu61Pjf2D+Gu7nusqOsOAtVfRvD9qF56p02aIBtteisJNM1h21FURrNwqAZQrZ5141RLTCHj1cljER1AjPi6NCt3K+H0sG+eJO1R7bTEbxUQXCb1ErXO8rrS9RM4YQHPbzYA3709pjHm1I7VrS40pPgjaSLlF3dIphrnC9sl+BIxVz4tPw/bO084yV2ykPqoJd/ok3df4CtHqohsIadvONFdsK7L2RCARSAQSgUQgEVgsCFDtM4/1ycGexoZatEVIzp8GTzVoRx8nE2/xYf9hU+lsNoAuFhgXl5z9rLS2BGPOQ1G0KwJWf9ZBPS1lQuRubcTWmTgSDNnfIw2TrwYb2Cl8SOhvv6/nWMTNKCGxLYX8LY9DZ0NEjhrbnUKWQohh/WKBYxnFjMlqJfbdMrVpmMyH+Twb52AeSwntQL+So51+xhhS2Q1gWcc7v9nAAt+6TK5RTmBmLLCdoG3J1E4TMZY/YS3X3yNUIDbEk3ZUOcPjZzlKh1fUn3I4RMqZ7Cmwob82Nq3lsflp1Aivk80mPFYDeyoaq5z5H049ki+WW0m4L5aemkFOFqmNFDNqvxvp5/rSWU+dbLt6UdU1286AHWXJAxqXJmERjFot4jFQxd7GLqHwTEcZW+vbvTCKHQENf2T07jch1my7FzNNL205nbZNfKV8XzzcYrD8Ha6WBD7uu2bbFRtqZC/a8OEY5ROeew1Melzab4sKr+1iWMrY0sXWm6K+VvuT1jk2NYHI8LzBtvO4SsviowGYzsLiSKSI5DXPQdConWKmzuK4xrsBViVjyMkJL2PnCJOBC5rGB5xb3NqwF24fbha5Crcrr56FrS6rNxJaV9gfEHsqI0v/39l0KMPqIo9a6D+wzwxABPS+PZj102QRpUcMxX554q4PGoO5wbb7/tPRPgfZF9QaFNqdww8/3JKslDzZg1Cy1wGm3KPY9hCyRkBGnnltPaMVM2KLXgRn7Vm44IILYldacQQJH/1VqrP9JdQGnfumS7I5DRj5jqgqknsEOPNp6G9sYakHtlmCNcecSpWFJwKJQCKQCCQCicBSRcCKgzGKQ5WdXsjyhpcP3ml83IZHTZ6jfdlO3PZ+9nPiYjPjLBGYkZyKBGVhGybDGFijpb9qa70Z7YsjwYwyqCjSNArstL+ONDZGz+jumYTFSqynLUHvzmj2p7TOQjqFlNJHvsMn7L2OxZTslAoWv3RavufxHuzS6l3s0a4Z2faCVacw40ZafFkyh4m3vChssjFdIqTFIPT4/By3zFmmj+5QyIzMxqgeGVeAWY7ScaubSvrJngL8wCgnsTOO/6mIPf+FzP9wmv82Tr3GJNynDumKKbCtcB54ttW8iVtsSzHCyE2suvclYhrxV/PppicON+pNT3yhcIhWe4oPwl0hXrrkd0QJSrQ0xJs14kuMgMNgw3YgIr35OGMpml6uyRlx+xiKu5xdkGFGhzyRGIXHGUv9/cHIhb12vODNSoTxLV6oQDYO7GqLix7Hl/F0Vn8fsKq2Bwp7GOXHX963vafrGHx6fQkBFuIlhn89Kv3aJr28+0uaRoBHVybqGHMtwvvTChSZI6WuwT6z1vE+1h2Y4hpnnD6Kc9TxOFECi+l99tknkFELTzV1M/H+BB54bO9sOhTxWreda3K0conh7IWc4XJRJC0Rx9/lnPeSrDMAt0bhRgLfNfEFoygMe+3FhZ07LUVsp5j4QeiUpDxuNBx2NhjqejPUITQKtbd3X6vHHXdc8ejiMbE+LNl1CqhjaJXuRlWH9UpUbdhQgHWKMW+RvMpwu083UGqkQ2oQ7o09HGNtXCjFZiARSAQSgURgSSLAiV/js6e/meOm7y8t7y5SBCxkbFe1kHEcDs+ZaFa0O1/Yzp61M3WRNirF7kGgcY5RO2Uk8Pkdt8Jkh0/OISdntEtrxESxoyzY6sSRhgaojuwMh4QWApPtIG+XGa5f65VCO42Y2u6qM0Ej0m5stmhWo7bF84nPD0w/QRzGQDP2l1qGpGkI45JZUiPSUs66Hifg2bcifspTntKwna8Pr2rknbtLc1QUbvHOCKynonF7ZFRRczFKR9U1rfjJngLkTP/OlamI1x5pUyl2skLmfzhNJueCyvW3C0qaFGZiBNpTZM8xERPXMsuMVNYO5+Q4+/jjj0fS8ZaOd66tiZWPy6vZdjGotMIGhgC1mfAQkRiw18bg6GwEYmHblUArjnOsi2IMHpu/6sjOMKuWsGSJu4hv1u5Fnc6c4cUvfjEz9jovr+Xlkms5mvDarwjjcW5t6jbyo93er9SwX7YnoJQZAf7u65j+jzOH42lyELI+ZagE8M51dmHfECLj48bowpVH+pLMSqOE2wFH1nCYU5BRi0Y19Py6qW54u5CImWWH1ucWKLDxGqP/Z/DOmrv8+qGrhWR5UV/6IqTIKZ+DXlEI94bipHDEc/EgaIi9DpzRc5FvQcgMnGV6PdT1gmehfr6w/1pRn7JrQ4AtDnW7Fma4QaCHV5kiKssdCqFyaS5qnGpQbmUgEUgEEoFEYBki4KU/FiM2bvplCOnyabLljI9k31o+sdijOEEn2fal2vszOvuOb+ayzIwv6sbSY2JwYsvpqDPPSrHWsLEoG+LDZLoSkiE83rCHK/J0BrjD7YzvjPzMZz6DbcfkslViyc6WqCyvSvp6G6vI6AKWQ34lTWdgsmVO29jRnnVs+0YbbcSLbGw6b1TXkLBxd44urfXiiN3+HnHk7Iw6koESzsUoHVj1xMmm/hRMLEk7Y3uktdPMW8z8D6d5a9rcVZSE+9xhO68lN0hDdXse5lWCAZX5BkUlN7bUOZQS1Vh+vFo3SmJwVLt8cbdsZmmkHHXp7JqaPcdN1wR35OLMpLbS9TnFLdeoAuv4c845p75sMMhxSxvrzwLeYGqPHGhrh3PWhdQ2VlhaXmjw8nUCYd5pCmgCtOiNBHzbNWJ6LunhCxUeydrLTh8QdQlEargt6iemG1qHKIp9d10vy6Ahyv9ZdmhjJyY35XQ/tbuhtdZaizV3+Q08N5UzlnqvBnzsS6gRE8bm44X57Sm/8gk+9QfBs2ZcNRrL+KJeKjjjvqHfIqQhV/e1x61hG95o1AK5XGONNaBahGGu4uu8XArj3MulQ8zCAKfEZCARSAQSgUQgEUgEEoFEIBHoQaDelNyZzJe2+GLLEnY2Nk93Ji6RrK/aTinL3RKIE1DZrpWYzoDqLKmYtw/xncj/qlUqD6hlq3dnmY5KIiHznc67dWQI2djyWycQVlq99bxxt30ZO4833HDDBz3oQe27EVOWVHHpOz8sw/q7zJK83TuxbK/3r7crbXgQxVZTIWA5bHxvL9sjO1K7Xc48xESPMEXqqWuKa725GKU9kk/l1tSfgoFSFYKoZ7A1RtrAkucu2TwPp7lryLyV3GTx5q3irGi6CMRGmLrMfvazTjk/YbYeNYtXKuUT3Bux/Ar9at8TI277dFiIz/IEj8Z3iU8Q7ibav8a2O35mipCjAvQcNUHs/cravV0ynXyxdFAUI+6GVp8pNIcYnbU4jLTzBNeCWARCjWGyRqf6xKHb4DS/s8DOyLYDssaRNSyC2+c+Newmaq1GoxZNKP7061tMFVZfffU6hvKgvuwMz7JDG7b/xPaZS2PBBt8OcTw76ryz3v5Ix+PUCdi+1Z1ebjnLVMryK7qW6T4ImH1bL0ulJVBc5UQMOr49XMWU9BEY8iw0ssz/pSb7EK/rLbsHRLLTr281zOHrWxlOBBKBRCARSAQSgUQgEUgE2gj4SA53z+1bYtDWsUhhBRIJYtHBl2PPwhz1zFMor0SNrcPtKrhSYVFnrdTPwTnJSV4eWUcxv3XJKD97qcXU28HrBBHmEhNjO8TojZCW80zsG9/edZlMnerLGcPhWrax8KxzsZNzElUdI8yFrL/97eLZNQ7MrPPaXu9SgaNoUB0dmpWSKyS0sCo+N8qtEqhdepbIeQisv/76amGvNopRIfz73ve+aUkyF6N0WrKNKmfqT8GoihrxntAYMKP0TwvQ7m2eh1MDscV4ueCMoBcjiAtB5oaPMCIhXmNHz0IQjwxMSvslMdF45+GvndnCpB0t3p9++N3G26X2bN5TSG0IPCqZPT61NTrqtvYGPiqXeLy8s0PrBDy0cEfTOIyU14sGh1hnEbY3DYXK4zZLATQx3f6QL6FGIS6LnqPcanyi+YBobE2QctSxNqWQEujZWuukzVrl3jBPKCXUgVl2KMc49iW0mX326X72KqqL3yH8u80QndqOWpgSbkg18QmiU3kQbNdoqExCzoaQwbaXJowK1E6TRqVZCPEvetGLan9NvmupxGgyPCa1oQ1DeKb9C0HglCERSAQSgUQgEUgEEoFEYFEgYHHEagpZzH1op8A2JfvmtEu4mJZb7rFqYmj1lre8xTFdnbl4IrJ8c/IQI6rOBCUS42xtaBVz6KGH2hTeXr5JaSM1J4rWaI6kKhn7A4zb6AnQ9Ki0cAjTSG/bNCsWK8EhBisIRNt2uSpl/sVaq23UxbUsj5ds/6+77rpGRaMuw/l4w16tJKYCsY4ulyWgXZZ1NrlaKbe3bkumNxldWSk0XAU88IEPBKA1vozB2pcyI2AMNFbcwdGjLzioaduoycWEvGH2VMqMRfcocr8kmziw6qqrskq28mWMddJJJzXcDmumI9YUjjgaywY/xG77yZmjUTpx8wdmnO5T0Ki0p4t5JGPZhgTjbqGRy6Xz4RqeHtpp5jlmNsPJA8XokMCOx/OUzbPkK6q6tHBfUchPud72EaltPrFdpfcWn+n1r3Zz3E4/m5ieLWAYRp5YvM8cLnruued6+zbYdrars6l6MpdkQ3K1XecPlDPU4HVivsM4Uq9jhPtVJr4hmIdvvfXWnKL4TvKOrN/9swStIUmbbW8k6L/s0fY33vptZNolD+manly+qxyKu9122zXcrdRZENO+SGw7cLJrHd8TbgyGRrt6MpZbU3wQRj1us4SuiLowA3ZRlD28JPQZzfOSgLd77cCREmu6T8fCRCOlSgQSgUQgEUgEEoFEIBGYFgJI2Je97GW2X1sj1N5Ble+SRRey2yqDk/G6Rttn0W1nnXWWY5MauZhqoW5RsajznXbaqc41KowztTzkj9sxUe2verYmQes7KGtGe/lShTU4k3yuF3fcccc2uyeGX1C8KmeVnVRyKacErOvRC4z67etFrytBdsQudoLHlZNPPhm5GY4pSpb+QNDlgGozFUy1iM3knOGaQmrKmPJg2223Fbn33nu3iRFZuDZlxs6xaqN29s78i4pExzfWdyKpOtCgDX2GdV946XReV4PHsDz/6Ec/ak+zwSO7Xmtskohl8ih1QkO2CS6t4g877DD2Rt/+9rcZJxmKTAZJZaHE6G2zzTaj/zBoe1brnZVGeoC3IZqLUdopwxQjp/4U1LL1dPG6664rJb//rCfrLMKIeJqkxkhrpJn/y9kMJ/6dPD5+Qwxb579pc1RjWrjPEbDzXay3mi1mtY4Rc41S7JfDoG+8qge+R0uxje+GEt8OtN2mRxqvSe/v9i4wlsXMoikSVlttNXNQz660dl2NGLxqff44FfQQB/ejBK4LbzO2tRfpOmUj3LYNR+y2fcyxDsD5tv2zK42hhCPvG8WSB+eIbGVPAb2FM0HX+wAaMjdsCoZ0zew7VAk+LHxm+c7g8AfynQfmEJsJCV0INWxD7PZlQ/KeJrfzipnugzBq9DZsYSRrj+G2eP2H2rfTD4npcUA0JPuoNCaT+vQFJvw2Njb8Eg4xzxlVfsYnAolAIpAIJAKJQCKQCCxPBJyIy+XpCSec4NsSw8tIkw2HRcT555/PDNz6jpF7w0jcooyD0AMPPNAuTH5jWJFbbiOtbE2WywmoVhCMwW2uHQIp5k7tKOYrr7ySBYnS2JpwLcsDu92cYT2KZSbnkNJKmkMOOcSyCOWHCtcua0/m9lgClJ81uEUNV5ko/pK+P4CwxrMfeeSRjPHR6351ep5UMeCAEjnQosvOVIQAC3F8vaUxRz1WZ/aF2xlPyaG6E088EZvMDB84cHjta18bJjjIEPZMcN5mm22sCGS0qKEJ4BBGYsQ3dUinp5qdd96Z1Y6etbKAMzNkKybkslx8vtNn8MODN6zbBR+HJ0PMianaaD1usaN/DRV9bQcDvYXsjg2TgCQMDSM702Zm+BQ5RLVBWW/usssudcmzD+NV3vve9+63334UD9a2CoR8GOpBDx1PPLRDxA+sTgP5hsXaUySwepZrgw02iCPx5miUDhRs4mTTfQpqMXq6GMlAH2OTvSFq/4oDgSlvGCAypvToGWZUcY2RVpe8QsJzMZxWSEPmp9Ik3OcH5zmvxbxmpkMdlprYiZu7O7dBlTSNAz893o1PhJKyoaqNeNN0TWSXxJ2BUS9Up6/UbDsG0KvUe6hmrhHunWUOjOScvT7fmVWCuWxg3v5kDbfvPpioiEe1tKcoL+NjjjmmnQDCVMTezaEXLQloBVlJlEsBXyGO6PSSK7Rv/1nkdd55CDc8mdQ11pYI4odwu9PqUKj6hPJTrxHiy9V+Lt9tjVFtp+cQwr0xGEYdPUTBUKOBAQ+vNdN9EEYNQp+nNfgsUHxQ1jFzEYZne5Nsjy/L2cigp5iWFG0HhQrAL7744lIm85OJvf2UQjKQCCQCiUAikAgkAolAIrDcEMC6onT9nPnUWIuxfsMjd35kosXx6W984xv5XmcyVYNm7SZXGEfX8T1hfD1yFqPNO7k9u3VKteBqkad15JCwD3ULZJSrAhnt+ZVc1uYYVcw1ZrZEzhhg6U/HwDmnT3E8PiNoPDL9xAtf+MLYlx9W3kPsfqIu6OHoNVmBfkUAAOKRlcnUzFLOrlaaj2LWQx2CX37MYx6jyywH6hUBnzaOgQ0mtJRWAlZnFCSagMd/97vfXeLvfe97W2jwO1qf4hZ36SQMCeR1Y52OlbbgAqCNDkTVEIvEmprAzrMWsgj1U5T+nTrhrliSM++jD0AQYR7s/bV0BQKNQrAu4/YI9RJsoWFhizJWBQSCcI9WTH2UKnZOf1N/Coq0PV3ssTI46eRo4wxvv8hl2KDgqXAKt1NKWwiBqQ+nhdCoOZIhCfc5AnYFFGs/VE24k8DepbPPPrtBsRXJ2H42TKq9PMLDlDQNE2y7rkrGErBBrBBbJXLcQMP4lGrRm7hRSIMAbdyd8dLU72VZkmGip0W4Y4d92RT+1A4DGuxR3jyKAI2AXFj1hqF3SeOV7PjTsAIokTYM1nsLfGH4FGh0WaeOpJQwzwH4s5II93aNqhvfK/ER1kjTuJxNh8KtHk5ecvGp51PD17AfItiDY6tgqdRHCTDb5xKXBBFg+1DHaBd9SZv4RugzcCgp0f22K7qchwdBLeUzKASYC61MYxyqiEat7RzJ13DIMN2/tIYMWExuUazetBGELUmpJc3bCxQZSAQSgUQgEUgEEoFEIBEYggC75khm7eDILjbOPvWtAXlisYjAtocBzaiieFBxMiqLaQbyTum0RpDLZ/mozeWoXr9RpVlSMc22oMCfWipap4ixEkHct5ceCkHb+Y0qLeItiFjhMI2PdrFcDoqc5MNp8UYVfNkXd/aNW/Fx7ru9xPcLSQYLNKb9xNNklAWKgxl7AVCCTvM1gPCjstFGG+lB63REs0pR8GXJyTyxdG4RRgCe3Lfy9EJNwuIYwurCKQdbgkxo52KPzJxRFzNYBiDTLrykSOqHKJnrHr+6FmGSW+lbn9ruTFVQtikbHo0qlNOIaRTlklajJ82Tbv61cxmQcZJc3SPtZI2YNddcU3MYz2ks3YbG1gnGHaV13naY7X9nu+xm8KvTey786ph2+Kibf+14fTH1p0Ato7o4BAAUwzuTiQbSxFhKm0wMm0I+NBrOpXAjpt0QY96vjm8Pp8nKqcscdzjB1q8uYTmEk3BfOr2MZmocP+K5pVjmG679qkPNU6c3Gl8/lg2Tah8TNql58uss9mfVlxOEvfP86oxtk3wvHi+tOk1/mA5AlqI5kFiZoXeNjJQQznJpF2LbDmfoJZ4nvlH2/iWNgMLpb0sMt2idB+l4jxZ1iFkVP16+h2g1v/rVr5YSTLLU4KyqSwyBdW54povIQvHHpc0NbZZz+EE0paK5C1Aq+Mpsz7A2BDSI18YY6xRpNh0Kumc+85mlWNDV3SfeyKfhqAl3kb5CSpZRAe4FqaCLWycsM249/LLVWRol+0B3dy4ehLrSEvZm9WgUuw+WFJ2KEKYZvlRKqy0qaONKIf0B6xCjsVbF2ZLZcNToW7ne19Jf4Lh3UeqFcJe3fqh1kN2O4xaY6ROBRYSAN7VFROxLXURiL3xRLUSZp1lYDjwafZYtsvBmUWhTf/tTbZYlz0X2HHVzgepsymS2icziQKC/kFl2XCP74hq0/cjk3URgRgQwaPyczJiskQBj69eInPgSM4vxnDh7Z0Zbb3k76bw1MNKihu8X1HC94GrkZf+ExRZZWO9GglGXSPb22mpU4joeHYwi96sjZwxbrWNX/GZMWRLIYtXTWPiUuz0BvTmu0V5PafUtJpK4FMZP1Ax1fB3+7ne/S21jEdc+Uq5O1g5rb4Nnb6SZi1HaqGLql7N/CjpF6u9iRpx+nRkXVOScDqcF1dJpCfO30yooy1nhCODRbGLyOqklMb1iyhhQn3feebyVIXbxfXy0WciZVeuUeKj63dA+OBgBXVths46vmay6qOHhhrQyto9QQDfXBqrtwgtzHbe8whGddTIv5vpNAIewKa7TWDbY5EUjHT904RC2XQlOg6kFCPd8dcnC73vf++z7+/+X/RX6j5LF10bNrUuM6OQDDsNeF0K2epNBA7c2aBQkC83bF8VP43B2juoayona3KBufiM8mw71JvO2KwUaxr4wymUE6v0QYuxjqLM0EpdL29Aa1tN883knlQQCtA52J5QYxDRnbS4bHSqm3aczPgil2J4A64CoMdKYBHhwakwF7BRMEXz8xYhl2TFEC1JX2tDwvf/972eKUhIYycZzuZx6gD7mbne7Wym2aBfEWJaM2vFT0mcgEVjUCOC8GHA1TmdZ1C2af+Ft/TF7855ZVx072Fif1ZFzFzZx6ceGy7W5q26WJS+ZUWerma6vX1izRGZFZfcJYfzUtXc2bZYd18i+uAZtDU6GE4FEYIoIWImzOObptGcu5dWEkxlOM8bypTNFIZdVUZa6esT+gHpN1EAgPJmw38e5N27lZSJQI5DDqUZjSDgt3IegtGjSYMxNppxA1RLjjlF1fnVkI0znKWMdaT8RRyU1F8knmlNKKPOprFkl85JWDGDrjGOF8ZgYwNrW1fuA2sCeF9M9nv3MM89suLpTfm0867JNhjpc4p73vKdtODaa2aGjqH322afeW4T8daAK3lYy73tEsBd/LflwmzK66E033fSDH/xgZP/LX/7CtBCvx6k6BtZqmeF87biDtHbDRWIKDLqQYhMt0rk6bOgEOESjAyjm/9gTIhUOvUFoOrEda89sny82pdEosHDkCCVqib8E01+F6K9vzU9Yr9lvwU4fe4topgrSuVZrde143vpyVHg2HYra5jemnAoAFoez85SHhkbFop45UOPXqK567bXXri97wkz42VYX7+QGsLq4xrMnkXUk+sZTU2fnBip81k/lQahL7glj2Lk+LCS7kb/WWmtxfW5QGZDcLFLO1ao1KqVw7ddTZuMW+5F6V4rNcZ41tRif6Co1hpfARq5pXepijnoaBzRF4Q2NyLRqzHISgYWDgEme9n0FTvULB4qJJfFNwjTBy92WoIkLWVYZl8yoYwOh6/lara00lkZXdjZt6h1n8vFbGohlKxKBRGAyBCxtrPUsY9/whjcwcWsTuF6yFqoK97nOlHiyWjLXcASQEnQbNnnbYd95mq7OiqUxTmN4sZlyeSKQw2ncfk/CfVzEFnr6rbbaCrPpDTdcUO9F205rm9DIa87Ffdfl0FQXplI85p29cIPYrdMPCTsf1SEtJSVummcbawCcbM36lQQChYaOSOsix4vXBuDiwwyt7Npjv4+GrnfX8rgyyunK5ptv3navVgvQCLOHspKp3cIgbf0ayeLSMfSFvvQVUhtT+yLhey6MnXUHz33o+FIImpKlMM5aDApY1xTOVAy9gh/QEO6d6mtsOyKYDqAUOJ8Byg+9yeQBH+3XWbWvroZdf2eyiJxNh9pAQAvCGV8UhQrnQ8YPeg1djgSo8OEH13C4ZiOIT5nSBfrI/obOhmDhWX+UW7N/EEpR/QGbV44++miNKgozz46dGZ25bKKsNVWdadqR2Aq2/HU8zUrDlw7dEnK/TjPFsDmkTbhz5dSzuXWKtWdRicAKRIC6t3E6ywoUJqteJgjkqFukHT3djuORLyefRToSUuxEYLoI7LvvvjbTc6bKtIjhDq+b4Rmc83oWb7bIs8WxlbyYoE239iytgYBlOItG24ud6YqyYKJnYwGfSJI5VMACzVrVIv05z3nOWARIo5a8XCYI5HAat6PTDGFcxBZBeg6XMcssx4fI6mxu8yxj9nZib8pwMN2+JYYNC3Z45ZVX7rw7PJJRc/s8d1RgYdu9oRtulxseZrDzvFXOWCNafIgBNRtY3OuMpdUJKB7QizO+oiCGJS9tccpNg+VkH11D4fBYWwrqiuhRYo8wW2zNqW9FGF9cqF4m2xjGOk19HnodPw9hH1UN5U2jUkzokUce2Yjsv5y4Q6lnTjvtNH8b5bfZdgDaVdB/CFKjEMtX5gONIxAaaVxynkN94o1Vbs3+QShFzRjgZurEE0+ML62exDhxx9lPYHviM84s1FMyvdGcGpub0NpuClnx06n0SJW3EoFEIBFIBBKBRCARSAQSgURgNggw7rGAevjDH86wDNVrcYRzZxhrYWsPtwUp1yWWS/U6aDbVZd4ZEbD0Y+fHno9FoDWavuC0wDkxzN1OOeUU5novfvGLGzu8ZywzEyxbBHI4jdX1txgrdSZeLAiYQx2HiFXk6qThxrE0AbfrcE78b9t/dKRxwCCFp/eiE0d53igZBRjnikfWj7JWrhP3h1GTTgDHxvIdRrlaJ2bxjXR2QBnHLLV5rH1PUtZi89rBEpnC/Gtf+1qx262LEsbLMxjn14IlOOce7WQ+C5j90u42Mg65tFHLdwMhqY4bp4DKjmpHx9MKqCJKY/jMfXktg1vt4+PBorHFRQnP7JrwkY98RNd4L3LQceihh7adfdsIj731Bg3jgiI/p0ANXzTl1jwEWD2j3bHkjS0RFCo0DVtvvXXdoUPkmU2HMty++OKLba0AZmNvRFSNagcgwYA8RJg6DR/iCue2yIOjy+pbwjaFsPXQNY32TuVBaNTVc2mTBCF5IvLcFeVWSU9dp0fIOTFD7fNaIUBo+JK2vcODYPTW201KvVMMeNL5oK8L3GijjerLDCcCSxIBE5rtXF4oscHLvjS7ryjPzDyWuJ53q1/zkkWXhZbHxNukjQOnTxxPOdzYBiAvYi8OM0atD5bFa9Qk5txpYXOIs5EdWeEFqqIo0H41kwzjKbpM3tscwuZn3m5X56WgOi7sbIWh4XNgFxUsmdspve+4ovaS/cMf/mDOlIZqORxzNRLDQUpHUHiBSsDPlSbMqGXkX84WuvCIRX57oRTLx13DwQgAffw46IJLOvvGOK8jRqeeNZCkX2fW5ytFv/Cr1lb3NoTvv4Q8tG3jgz+s1llnnUbXRHYfGL4ftAhoOoh4kqldX5TyfdpBXv/GsXVGiPSOV2F1ONbImcqoUwjAdZlhAHBjKQ4WMooIHyOtSN4I9DQkUvaPscguZRy74mMpvqyQRLXKeSDyDdlclocFqcEHoEtQs5zwZegXD4VW8+fmtWXEejx9xqu9fl7sCeMQwAdGJ0XlaVWmwdDw6NLftEbH8fPwpS99ycPiTW3oXnDBBWYPk4DvNH2h8P5dklGXV7/VQQ3CkKdAv5srivyGrgfQsDRN1UVlOBFIBBYLAlajiIirrroKw+vDw8Zis5PJxBLMPDbu4aWLpdULWU5fVtQedhh4x91www1eOkwGzfY+cnj+LF4BFnITUraFg0AOp+F90bHyGZ45U3YicPrpp/MK3XlrhURaZviCN7FaRvp2xyRaD1u6lFXxjFJZUvr2/dGPfuSj2bzMdHQuTjhht+6tbDlhce59TDf+pCc9acblcUN4Elorhq8VaxK+6S1xG2lcIgF507Ze9fq3mrL+9LJRYzvlBDGAsqnWyocYiHgvMAsVuE1Q1IxZ2LNbHVmGaZGGqMU6ZwWy6kVga/jaxpmGpuhmjEYCYx/0sq8xq6lOxqcUNSQwcYcC0KIOvWL46S8YomawEkZ42+fgEEnqNDgOa2CPnidIG62u8TKgqJfQdfoIT+VBaBc7KoaQyCALXUISjJA+hdFYjUX7qOz98Qr3LPjONvlYqDM896nX0DT0lzDxXXYc6P6S3V4c7Fu5zMACR8B2V2/SORKS0zCLwDkqfIUXS9fOVxW1FgwJc/755zugZf/99/cy8tfiygsCFWve83ia6Bzo3SDRvBxpRk1EWD9aUnO1lxolN09NNomXmcEmFS9ZO3UQiHTDXnmq48rJKhqryD0rjaN5z3SqUhQ5GtHr6dhjj635cTPwG9/4RpYBUqrL/OOl7KNFdbqpPlWbzJ5oFnNSYplVjRJFBaJi1WViqZE/66yz7MBDi2us6nDH1Pa+B3jT6uTxS16KYfNVuYyA1uHTcZEoYIS1Y1ro5sHimwGqpPUCUgt1e9GpR0YvO6pHVWPY73e/+0kmsbeMQ2UodBu1NC7BhZJAuTIRKLe0V88i+tVrTsNvenmFYZoyS9dID0bqedOvTyBVQ8kHD8ToUB3zUwwLTPuULtSrXIfpO2ZuRoXsvivGGjmzH3UMLzhk02W+CnymRpeBnW89nvSNIiOt4NAO9DRkyBgLtNvFUgDEbtHhyLcLERMPiwZ6Nm3n1xydRcPkk5UnPZ4GPSCOVwG+biWMN7IwLt7zUt6YOo7C7JxzzvGktGtxdhEOxcPrcXPXSIYhxUx/0xodR7fhuCAPmkIE5NUdBo8x7NNav9gASqpSeyN71NUYtAOfAjs4zzjjjPgyN5hNUGphFdS2RCm1Z2ChIdD/cTsbac35vqVnU0LmTQQSgUQgEUgERiEwd+8vNXZYNo2SI+MXKQI+l/1mI7yVJM3nbEoYktfa3gmTQ1L2pEHQd7rHaWSxbCgLzsat2V9aC3Uuh2ZfcrsEazab8vzatxZsDIWN33TFm7hDAYgiabAk05LNkhVT4DdWgVN5EIbXSMiwPB2eZXhKhdu06Dc8y1RS4v4cyVsXNacebOqKMpwILEAEsFeoOoye3WChSkSNYdXZnVFN1V7UqL2xybShyEE2tvEBShGO7LMfCHvbONSBrS5i1yuPn1YvX0yi5tuVbL8XJhHdHJuEUMMYVUego894YCvqTAwvth1DJ2Wx+2Z1i5ekcfGmYPEaeKrdNjK70V/3utdFmSj4Sy65RCsk1rogRiU+99xz7f0iDKI85BHJkyx9A8NttfeYcWk1lT9FqRJs8QlavNaXY0jtfDKr+xuaA3w311v0FlhCYhTWG52qOmwpjULxDoczipPtfauM+1mlameq27OoWBR5bD9CrFMtYCqhAZnAyl9sKbZdeq1A8Uc8VbfdbxADLPVDSSxAW8DHHVMM+wBqL2rDR05dWoSH5zU2aE3oQsCOWYvsuFddVusb2lW0Y9oNGTLGDGxEttJ0pU70UMRnc3T9WMi3RYqY6CDmHcaY50skPTT1iTFMyW2024PFTIE+yS3qHM52qbJorVDno8ocEt/ftM4S0P0eVXOFp7Vo4zwUhq6H3VB3HGJnxnbkuE8BtZZTcEwXxi07mNh40S42YxKBRCARSAQSgUQgEVgUCKQP90XRTSlkIpAIJAKJQB8CtlDYWoSKslzHGbHIK6lRGM6kLZcZSASWGwJoO/ydB6Qw3axW8ezIOA9OGDXDxP5inJrnhbst5tXF3MN+OLwnLx+sjJn6FvTCkh1RiA13YDsaWrGobWw7NTBz8uKSS71ObsACsx8v7qTQagpEQbLwLWy7woXx+wJlX5QwGl0hOPRSJvE86cpkFn322WeHVMRD3SI0uZgrbLtb1IonnHCClP1HyhOG8iBoVoX8j/J8pZVqDx5OL8c2IoKDbVcyuPCk9rGxH8dxhxj+ghdRy0K5sO0iGcUTDJ7E4BWnJB4SkBHbjkP3K86+CAkTOOgCZulRDhtquxIpPMyHhW13C6PNDhrstqDVNSJY+Q9EdoNIb9ZOPAaOnLq0Eh6YlyE2gpsZvtoL264Q7D9Ta4UQuJTZH2g3ZOAYoyaJvjaAVWEExmVYlw9Hvke86667zvAz1INtlxKXTflhGL/tbW+z+UNnBdvulkEetzh16SlzyK3+pnWWoCOw/J6swrZLZueKeIAY2MN7ZNynQI+bZ+g8OJOkh2u4cuqUNiMTgUQgEUgEEoFEIBFYsAgk4b5guyYFSwQSgUQgERiKAJcCjHP5jeGdkNVnnQ3PWKxf6/gMJwLLBAE8pkODG41F/LFhx52Vg17wXHaHoI/bfsn4MGHxytMLPr2Uw58JhppxevF64RYOHceHuC98fUmPxWOy+uEPfxhTL5K/bIb26N227zgC2B/Di0XJyx8L4rumj+MWJ5Ja5/GPS85kOAdjhl94+VICd15OjzBL8OtSIscNsFO2A6CdK/bnhfN3d3HfWG+HSrVtgSHJJN8cxWdLu5xRMbh71DNWetttt22nwY3SRtgrELf43RaoXX+ULIyphWtgXXIMwqC4c4vhwJFTyq8DA/MaDwYhVCFTZxemMinnzDdudV62GzLWGOsscyzkO0uISCMHyGUDRERSvdjTJmxkNvLaguC1FT7lG7fm+pITHoqZdi3URZtuuillNpzbd9sxEzwF7OgZ19uz2C4tYxKBRCARSAQSgUQgEVh0CCThvui6LAVOBBKBRCARGIoA0oet3NDUmS4RWIoIMFfvbFYYkBYFFR4NITjK/xKujRk1jr4uCjtfE+vYSVbenHR57upkJcyZG04/jhbHqjMYx9eXuyUgDbv72pAWU09O7iywgSWZAG6OeXsphD4A+18c0dQphcOVnHNBG/HDL3m9D4a0kaWBZKglOHxvJItL5vaUB2OJwW+7/Qf8rRfb9rpkJvnOvOHCG6srXg8CttNvXlDtNbDSU2PYoFAXWMIDR05JXwcG5uWViADMmeu8JTwKw5KgDrQbMtYYq4sq4bGQL7k6A52HBDq3QOLOg5Hc8kB1FjWnkfYWtHVgUWPoP3TZEAEmeAocFFH2jgypItMkAolAIpAIJAKJQCKwkBFIH+4LuXdStkQgEUgEEoHJEUBscekQjMbkpWTORGCRIzDKMwOXMlrGbj3a981vfpMRa3F50Wh0+4gU7DxXGHUyxvJKw7bz3VzHlzC7dWGEO1IeMx4ePOIu1+28sjjb0xmtDqssWSLA+TiDWQd7XnTRRahkluOMtdsG71zWMAOvPUrV5QRZH3R/HT88PBDJOHlV60bhgLUfS4wokMnzqAIpHvio0XASIuULL6/JUOW2BbDy8szTbiwkRxGsA9vbLlPMwLz8wLBkL86OGkXZl9CI6blsN2SsMdZZ8ljId5YQkZ61eNzaaXRWJ/5UWaFBaWeZ05iek5AoMDx0owZhQ6oJnoJOnUSj2LxMBBKBRCARSAQSgURgsSCQhPti6amUMxFYTAigPHjsLRJzO1DCGUgE5gIBjin4VXDWnDMP8Rq4Hl6kxyJr5kKqLDMRWAgI1C5fRsnD6pkzlk7z7VFZ+AApXqcjjXMgBThL6feXwj9MpMfOcwN18cUXsyOOSIw899n8nrOmjzTx1yGW3MXwpi2xv36qRtRK+cIXvjB8UGgCN9m8cLCTrfM2wqX2RvyQyyFIKoerHH8dbdpTZifHOip9FMgt/qgEEa9pQXNLDy527uE63F2dBUMu2rlrbxQS6DUi43JgeyfOax8D/0K1r/BGUcRuuGFpJKgvOxsyfIzVRZXwuMiXjI1A40mp7w5vYJ1r7sI93UFUCrmyJ6Zfhgmegs4e7K8l7yYCiUAikAgkAolAIrBgEUjCfcF2TQqWCCxiBGz/j1PvFnEbUvRFhQCjvB67vEXVlBQ2EVgBCKBWWdQ2nI30y1E7k4mUwc8+73nPG+XUJZKFwxnuMhwU+ZWvfOU+97mPY40f//jHe4S5ro5i8cWN2vma2HfffenVvvWtb3FT/sUvfpFXFgdO8l1+3HHHId+jdm8f5vCNvPXlPPiswEv6OWm2rrcRbqPXSFBfKs3l7rvvbgtCHd8I8wku5oYbbuDqx/mxj370ox0i7S+qPZzas01uE+5jSdKocZaX9Ct6rRzb2y6NArXhRKidpsS0GzLuGCtFlcBYyJdc8x8o+1RmX3X/JEBB0t5Z0lnp/zwDYz4F7R7sLDkjE4FEIBFIBBKBRCARWBQIJOG+KLophUwEEoFEIBFIBBKBRGCuEECNcb7E/cioChBtPJOwOG6fR1qyxC2uVEb57y4pBRyvim1nn84De9ujyCgCkZzc0fg5ghUziD5++9vfrgQW8ahb5rf42SG115JMPQwHYjzmMY8Z5Z9n3BoDWHz6kKa94Q1vwLYfdNBB1BiNikah2kg2n5dULOXY3na9A72XtDNGzGRjrC5tLOTrjPMcLucGz77eUR6ZlGwHiV0Uo05oaFQ99aegUX5eJgKJQCKQCCQCiUAisMAR+B+TmfwlAolAIpAIJAKJQCKQCCxnBDhk50h9lG/xK6+8EoF7xhln9ECEiWP9yvZ8VJoLLrhg++2350BGAvbp2PPXvOY1bbadMwoeyUsh7Nlf97rXEaDEREDGbbfd9pnPfCabbp7fRSLisbejXF5873vfU3t/ExpVTHZJDBlH4UB1sdtuux122GHDC+8vUDlvfetbd9hhB06BmIR/4QtfeOQjH9lm2yWjMhle6fykNOpwuM7a7ayOx6HO+IGRw8fYqAKHIz+qhGnFh1/++rkoJet3j0C5nGXA+BlVgnMU6Gw6j3htZ+mHboKnoF1FxiQCiUAikAgkAolAIrCQEUjCfSH3TsqWCCQCiUAikAgkAonAfCCwwQYbqOaUU07prOySSy4Rv/rqq3fejUiOqplgOywxKPV2SoW75ehFt7j7YJPeZtvdapztqVhMveNS2wWKCT8q4TB6rbXWYlre8P9ecqHar776ah5sSswcBYih5FHM/qc+9Sne1esDY2cUA4HOvf4nPvGJTr71l7/8JVPuP/7xj7e+9a25Z3HSpkBnmQ1gO9PMc+SGG26oxre85S1tTybOUx2F4UAhh4+xUQUOR35UCdOKv+td76ooRxS0CzzvvPPw1+34yWKorK666qrOvKeffrr4fodRJePUn4JScgYSgUQgEUgEEoFEIBFYFAgk4b4ouimFTAQSgUQgEUgEEoFEYA4ReNrTnvakJz2JTXHbf/oVV1xxzjnn8Ab+qEc9ql+Cl7/85Wh0/kycYNxIeeKJJ7Ix50MmTmW8//3vj2MNHr9OycD25JNPRi8W195MZbHqDmLlvb1OKYxnV4IDSFdeeWWX66+/vjO63/Wud33ta19rpMQhnnnmmdzEr7baao1bjcvQAcQBsI1bAy95Wsc2MsnnX76RxR6CY445hu9yLnEat3ouQQpYluCHHHJIwy0MpvWAAw4QudVWWykBj8+Vhz0Bbe9A733ve2P7QgG2p8Z5u8V3/3rrrff1r399zz33rMeM4165+H/uc5/bqZIZKN7wMRYFtrt+OPIDRZo4mWPA5UV5U6jUhdi1cMIJJzhquI5sh9tNa6eJGKcgGGYGaiOBGeCzn/3s05/+9IEW7lN/Chry5GUikAgkAolAIpAIJAILHIH04b7AOyjFSwQSgUQgEUgEEoFEYM4RcGLh4Ycfvt122x166KHs0DfZZBMsHt6ZdTnLdN7bDzzwwBmFeNjDHrbHHnu88Y1v3HLLLTk5efKTn8w+nanyhz/84YsvvhgHt/POO0chm2+++aWXXup47Z///OfcwmDhJWPEje7HIF9++eWXXXbZUUcdhXLF8jsuddddd0U6v/SlL11zzTWx6thn1DwSmcvp17/+9Th3xfrLgzmiViu22WabZz/72Xe84x0lQMpjKjnl0LQZD2bE0irqYx/7mOaTCv84gVH8fvvtx//40Ucfff3117/oRS+iMMAmE5gygEH6/vvvrwkzglkn2HTTTWWHoewc6ayyyiocatNA6JpvfOMbOGuNjfRbbLGFU2Q5z+G4hsMW7SUD/PkD4fIeLLA9/vjjX/ziF2OT6ypWVJh6Bol84YUXrrvuuhzfUxj85Cc/QbjbTvHqV7/64x//+IxdNkryscaYQqLr8dexk4AKyogajvwoMaYSTzOhN3UiTF72spdx38R9EDWSvvb44NPDq9Koujqb1pn4+c9/vt0koHPiLu2Ucwh+9rOfeRwMIQ+CoduZqzNy6k9BZy0ZmQgkAolAIpAIJAKJwMJEIAn3hdkvKVUikAgkAolAIpAIJALzigC/JaeeeiqH4FhOv1I323Zse7iCKZGjAghf5bzpTW+qCXru2tGpe++9N+I+Mj72sY/FR6P4uRPxi8g73elORxxxxNprr43s5pqGRxF8N8Id94pYxL+fdPOvVC2ZihCOJUaxmqAQnLJfiecbBC//0Ic+tMSMCtz73vdmLf6BD3wAESwNZ+sTEO5YY2JQPICxduSCZ9eKgU45agmRzjLi6+kYdtlll3KL9xjahVe+8pUlhloCF/+e97yHlqJEMu2X8UEPehCFxzve8Q6y0WRM60zXUstkAYoQahIKAJw7LcWNN97oJFVd8KxnPUurbYMI9+UTFD7WGFO+fqHywWIbqC7Jg3AfjvwEEo6VxXBCYXNJ5BcZ9T4VFOXKkUce2V9UZ9M6s1DD2IxisB177LH+ljS6Y5999vFol5gZA1N/CmasMRMkAolAIpAIJAKJQCKwcBD4m4UjypKRhBXVZptttmSakw1JBBKBRCARSATmEwGMbTgLnotKWW6edtppc1HyUiqTYTtb2ptuuonzE0briNpxW8eXOj8hrG45MMG7oezvcpe7tAtBpzpclEUzE100K4aURXw7WcSwg8bC80vDX/ltbnMbJDI6flRi9vLf/OY3mSqj+DmlCQvfUYnb8dx/M70Xf4973CPM59tphsQwbP/KV77iL9aYgT9JZmlXjkzXNWSDBsSYhHeK5+RYwOpBzVfvEE3DkObMcxqOTehpGO/zwzNx1WONMbX85uafbrIvoe6sgchPLOfAjM5HNbAJc/e7393zUjRYQ7KPalrktX+CpgGrzqhfjMHjEfbXPg/Pr+qGVNGZZupPQWctGbliEZh4J8qMYtvPMcVjgWesLhMkAolAIpAILCsE5u79BcaRq5plBXE2NhFIBBKBRCARSAQSgUQgEECxrbHGGrNBg0k7ks6vvxA8+1Oe8pT+NOWuD2LE8UDuGMM+LsleKhLAYmN56pjJwpQNtQH+ZIXUuW51q1s99alPrWM6w6zXp1tvZy2zj3Q8AJ6XR/tOz+C86KhiYI+PEmasMaYQ2yz82qUNRL6dcbox1Cd+k5U5qmmdpdGQzXISKMVO/SkoJWcgEUgEEoFEIBFIBBKBBYtAHpq6YLsmBUsEEoFEIBFIBBKBRCARSASWLAI2NPC6w8VNu4Us07nBEc/FUPtuxiQCiUAikAgkAolAIpAIJAILGYEk3Bdy76RsiUAikAgkAolAIpAIJAKJwNJEYNVVV3UWqONzDznkEOfBlkby5O7QVx6ENt5449nsVCgFZiARSAQSgUQgEUgEEoFEIBGYTwTSpcx8op11JQKJQCKQCCQCiUAikAgkAonA/yDATZBDeg844ICzzz7b6bJOrOV+hKtx3v/dff7znx/nlyZYiUAikAgkAolAIpAIJAKJwOJCIAn3xdVfKW0ikAgkAolAIpAIJAKJQCKwRBC43e1u9+Y3v/n666+//PLLHY34pz/9Ce2+wQYbrLnmms7FXSKNXAzNsNWA8iMxXwx9lTImAolAIpAIJAKJwCJAIAn3RdBJKWIikAgkAolAIpAIJAKJQCKwVBF42M2/pdq6RdGuu971rs94xjMWhagpZCKQCCQCiUAikAgkAgsfgfThvvD7KCVMBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEVgECCThvgg6KUVMBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEVj4CCThvvD7KCVMBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEVgECCThvgg6KUVMBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEVj4CCThvvD7KCVMBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEVgECCThvgg6KUVMBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEVj4CCThvvD7KCVMBBKBRCARSAQSgURgEAI777zzxhtv/Je//KVO/d///d8f+9jHdtttt5e85CUHH3xwfWtI+KabblLm2972tiGJl2qaN7zhDW1ghzT2j3/8o4xHH330kMQ9ac4991zlfPnLX+5Jk7faCPzbv/3bCSecsP322xv8Z5xxRjtBf8ypp54K9h/84AeRrHHZn3fF3v3MZz5D8ksvvXTFijGV2vfaa6+tttpqsqIWUZdN1sDMlQgkAolAIpAIJAILE4Ek3Bdmv6RUiUAikAgkAolAIpAIjI3AD3/4w+9///v/9V//Ved8xzvegWcX/4AHPOBWt7pVfasR/ta3vnXAAQd87nOfq+P/8z//U96f/exndeRyC//0pz9tAzsEBH0h47/8y78MSdyT5je/+Y1y0Pc9aZb8rT//+c/G52mnnTa8pTvuuONJJ530pz/96YEPfODf/u3YC59f/epXYP+P//iPqLFxOVyMOU35yU9+EiyGaF3L73//e5L/67/+ax05p+HO2WMqNf74xz/WlsmKWphdNllbMlcikAgkAolAIpAILCIEbrGIZE1RE4FEIBFIBBKBRCARSATGReCjH/3ove51rzPPPPOWt7xlf96f//znH//4xx/0oAetvvrq/SnzbiIw/wjQ/RifdA9bbLHFkNq/853vfOUrX3nOc55jg8KQ9Is0zTe+8Q2wMOG/973vvQKbMHezx9/d/JusabQsEyhaJqsrcyUCiUAikAgkAolAIlAQSMK9QJGBRCARSAQSgUQgEUgElhoCv/71r1m5rrrqqjOy7Uut5dmeZY9AuIJ5whOesOyRWNwAnH766RM34NU3/ybOnhkTgUQgEUgEEoFEIBGYDIGxd1ZOVk3mSgQSgUQgEUgEEoFEIBGYfwT+/d//XaXJts8/8lnjCkeAA/cc/Cu8F1KARCARSAQSgUQgEUgEliECaeG+DDs9m5wIJAKJQCKQCCQCSx+Bb37zm1y687+hqT/5yU8uvPBCgYc//OH3v//9243/53/+59/97nfXX3+9W3wxR+JHP/rRDScV6PtPfOITju5U7O1vf/tHPepRz3ve8253u9u1C/zFL37BtTQZ+JK+053u9MQnPnHttdf+x3/8x3bKRowTX530+E//9E8PechD5D3//PO/9rWv/eEPf7jvfe+7wQYbPOxhD4v0vKKfc8453/3ud7kZud/97rfuuus+8pGPbBTl0oGxmsYrfXhRv8997vP0pz/9KU95SjtlxLCJJvb3vvc97sK1fa211iL5qMTiYXXxxRfDWfp73vOeT7v59zd/8zc9WfpvAfaiiy766le/qjvudre7BW5///d/PyoXThlcX/jCF5xtC164wZlToFHpQXHFFVfwyM9LB5/+66yzzkMf+tB2Yl6z4cAlC+T1L2x1tH5sp2zEfP3rX7/xxhuf8Yxn3PrWt/72t7993nnnKUoaffTMZz7zcY97XCN9XBotWn3dddfp8RhXWnGXu9ylJDYydQ2Qxfzyl7+M8WlIdHa6NJqpKCNH2N9QOHGUVMbquAOjSNIZmLEXfvvb31555ZVGlGeqUYI9KFdffbVWr7baao1bf/3rXy+55BK3nvrUpzZuuYwnRSAM+T//+c8H1GuuuWbjqAZ+zB2brDs8vwaV8W9g3+IWHcvAycZzz+zBz8yXvvQlw/iud70rUT2wX/ziF1W90UYbRYs8awaweOcTENuYNE4a3ap8CD/rWc+KLGONsRg5pevHyhvV+asQHQFnRzJ4xF74wheaSaJPY6YqKTOQCCQCiUAikAgkAolAIDD5eiARHIWAbY+bbbbZqLsZnwgkAolAIpAIJAI9CPDOPBsHAj0lu7X55puPdeJif2n9d5GDiKTLL78cuXmHO9zh8Y9//Ate8IIhlGV/sf13UdLoTtTeP/zDP/BbfcYZZzTS77XXXp3+rzmAxsc1Eh922GFoVpQZL9jrrbfeNttss8suu+AHnT9529veFlOGctIih7Li8eu8Z5111jHHHIPdw0ZJ4DhHfDc/8kcffXSDSqtzRRjjjA3ceuutn/3sZ+++++7Oq3zwgx+M9r3hhhtw6/xDbLnllueeey7ZUHgYTPQrnhF/KvFWW21VF6jeffbZB8VGWhw0sgyvh7nTF0ceeSTmsU6shOOOO+69732vSFz/bW5zG1oKfYfrPOqoo173utd99rOfDWAjF2HE84+PPcRZAxw9jeTFKR977LGlo8Vgn3Ggb37zm+vqOsNI50MPPVRjV1pppbvf/e6gdlYkau+tb32r2t/ylre8/e1vr93rk8dpmRCQGKOtLg3UkI033njvvfdu0PQYeb1PWQKNlVdeGV2LRtSKF7/4xVAqfq5lV8t73vMe7cJ+4s3BKy+qWns7md+6LY7nxe36GQPve9/77nGPe6DFCQYcJWMqCVynF/7ABz6gRh1tXCHZke8/+tGPKA/23HPPTTbZJBIbTu1pYcMNNzzwwAMbpcUlBNrHbH7oQx8K7cLwgRH1loyNy6hrSC8YdcaARwAyDYE134ChEvj0pz/dIMpx09tuu+2LXvQiw6+Ry2UMrXY8bQTYaape//rX77///rrbX+PTw6gLUOqgfsQjHnH88cej8kv2geO5pK8DPbMHdZShqH89dDrLpYyc/LzrXe/yPL7xjW/84Ac/aKQZ8Lqe8yuzCjWDifo1r3lNqUL5uoyiKGLGGmONLhsrr+o8JocffjjdXjzmusm4grxHCYYmHDPVbrvtVkRdtoHZaBn7QTMLmfz70+TdRCARSAQSgURgMgTm7v01mTyZawYErAd8zuYvEUgEEoFEIBFIBCZAANUyw4t2FrcVPoFIE2TBamEDH/v//lClF1xwwQSlDc+y/vrrqxPTLQu6luX1NddcIwZ3KezHbrqzNIS4uw5WlRi9+z9Jf/hDNqcSI51ForNZkR9yyCGKjRJQUSeddJJbWH4cWSkWOSUSVYrPLZHIMoQj+29WoiWyM6B82Q866CCE+6mnnqqWSIaxJQA6++yzz2YLfNlll5XsKqIPcIvOoESioVlJo/bQvhjGiP/Tn/5EZikpEmgLSmIB3J96X/WqV1EwlPhrr732+c9/vsidd97Z3QA27iIxxeDdkNERQ8WiLsQiCls4IgEuGfRKmaMCWkQw1TFvL2mQ/jvttBPbXloN5aDdyy08L8Nhtz7zmc/gLiMeW02kdo0azqZY/Dvf+c6CBgT2228/kSjFUuyHP/xhMRQbpV0KpwlwDICfwVBSdgZ0nOz0GbqPYXJJgzLTNLcc71kiBcgjkhIoVAVxyymgWGbxyOiIicHssRL5ile8IsZnkbAuMMIxno0f6f2N9NEpYw0MKiIllJHcuFTX8F4wBhRFkoa0O+ywg3g//di49aY3vUk80/VGfFx66KJdgbnxE5eocwnsLZD3iCOOePKTn2xtUg/IkAT9XRc7cDzXWUq4Z/YwcqJpNAeGq1rMgYFnzB6EqZ84YYNBFhssSvkeKFNHuRxrjDW6bKy8avQgEIbYlAEhgBmJAsbEEr1DDVYEW86BWbyWZ8iKcF/OwGbbE4FEIBFIBOYUgRleQrO7nT7cZ4df5k4EEoFEIBFIBBKBROD/RQDpiUQLPw/1Hfz1a1/7WnasdeTchRlZsxtlA64K9trCfsWlRqNe7lDcDbcP7PFvTrsS6+aSDBuIuUM8FdttJp+vfOUrsVEsoBHTkRIHyg5aCYjU2lcJvuyEE05AWLO7L2X2BLD2lAesR9USydi5o559c7NR3XXXXfmdKNlVhBB3C0lXIukGUKtYxZe+9KXFhT27aTIznkVkI4VL4q985Su4Xe4+2KGzFi/x2HOmuBzjSFAiBRDfiGOkGzrvzne+c9xiUa4u9rx4/7CUr7P0h40NAusmuHHUUxLrPvoPtsk4vhIpID37ZeBgLTnJKeY5zPaJhOy2tYL6pGRRLMvc7W7+FTR0k40C1BIf+chH+P2IxHYPaIj40i6FS6Nduo+2o5TZE2DHTbDaHB5rZvDLUpdg88GJJ57I3F7i2g3OKquscvLJJ7PZx2Yi4uWKwcxYXpgZeIzPImFbkhjPkcDfSB8m/2MNjHbJdcxYvRAeUYqZdpTD8t2zYweJrjSo6sKFPXSM0PHUjfi4tCkh2hUPtXEbl5wFlfR2YNCp2HpbtjtIjHQ20viGonqJlLMczzPOHh4WGpf3v//9wNdYDyza2qWMVAL1EyfsAScV8UorOgMDx9hs8torYJcSt0vELrsB9BSLe3OIGaOz8IxMBBKBRCARSAQSgUQAAkm45zBIBBKBRCARSAQSgURgmgiwlQ7P6Z2FopNYm3beWsiR6Gz+ZNoSosVFMlmNWxyJMKbmY6FNhnK/zlL1qquu4jWiXU4jBmnY8A8jAQNwfznHYCvdSP+YxzxGTFFyMIXGbLLIZn3fSOkS/4jUxs6zCI674a4EiVZ4yZILhc3CnROJEiOAK0R3orwL013uIuN4pGEnztC4RM4YQC+yN2cFjIJsJEbw8SjSEADbyDE3W29cfCM9kaSnWjjllFMYp7uL1UW84q+V30jsMpzP8OwRt4hB0dLwbeIWDQfSvGdg1yWDnX+YOkZYd9DolKEihoTGFUa4Vu1ELsoAjm5gyD69Uc5sLscdGP11jdULa6yxhq7Eoddlcr6PekbpUt7wO1/foscyniNXHT9WWJe1HxbYUtKot3jdmfp4bgjJkww9XDmAwV1NM6R5kzdQG4kNac84lVgjvnE5cIw1csXlwLxg0WW2jLQLsQODeqMdnzGJQCKQCCQCiUAikAgEAkm450hIBBKBRCARSAQSgURgagjgKz/1qU/1FIey5PyhJ8HCvMVhccPpecgZFvT8LcQlU1lcOQKxsxWMW8XzNNJ5t47EWd/xjnesY4TjFE2m7m2SLm5hliNLdAF+v1FCuXQL1Ru7DQR47eg5gZO/GrxbyRtWydzWYzNLZB3QTGw4Hzh1ZH84MFFRZzIVNQ7b1ECMf3Fx3sjFHlwXcPQR7Da/7WyxecYvtu11eiT4k570pPBbIh7yepOD7yDrS0rdwTg9rNRL5KgAmrjzltFCHxOqCGonFLPqQlnSTs8FE//1GOqGJO2Uw2PGGhgzFjtWLzAthzO37Hz0l5I9L4YW3hkDjmIuGiAJgpq3WaEkniDg/IDOXPVjOxfjuVGpnSINO32sugZ2DifPDtN7+oBGIY3LIWOskaVcDslrJneKL7E75z1PHw9XpcAMJAKJQCKQCCQCiUAi0EDg/xYPjRt5mQgkAolAIpAIJAKJQCIwLgLMt2c0bUaDBvU8buErMH0wdG0B+KYQyZ103OJNhSU1qredUkwwp0OY6E6SK8pkn9suPCzNUedxixMYgbCIbycWgwH0N/hobqMZ27K/7kwpEr+PHyyHyrIL1l4keHg7aedinytSMxtnybZTlhiJseTOuiwxjYDDZvl2L5EayIS8E4pIo4Hc8mgg9ywhucJHCYxMxwLrNb3MnJ97GR5deN82SvkRUkLb4L1I0hmYcbRgmT0pSNWePlKyVvBGwtb7/ve/f2dF40aONTBmLHysXlAarzIUG35c9EThFC1s2xn487lkZwz+vbSUNkh8z7CcUTwJZuwIaeZiPDdka7Dt7lLL1e6tuOHSy04IcF4uRy6N7J2XMzatVpI1ShiSN7bL1H6xGoXUBvuNW3mZCCQCiUAikAgkAolAEu45BhKBRCARSAQSgUQgEZgaAgx4ZyxrSJoZC5nnBLVj6FFV40+5+UZU8bcwKo14pqM9d+NWD1nGtnTG7Gy0ldC2kS8Zw1t9SOJcU/HFN31JUwdqDzmR/vybf3WaRnhIM0sWZfboGCSrxYOzIdSfPu6GDOGOhm/3Ul1nQGJEJF/q/ALx+c4NiL9+kEQ7Iotf+MIX9kBalzlktIRs0RF13jocrSj7J+pbk4XHGhj9VYzbC0rjlsf5tCy7g3Bnz37jjTduuummbuHZuShBuDsy1KUuo/YYtSmhX7D67pCOmIvxXMsg3DlsaK24dTLM7MCIwUBTBQQjzaECjRLal0Oa1s4VMUPy2hQicXHd3i6qR93VTpwxiUAikAgkAolAIrDcEEjCfbn1eLY3EUgEEoFEIBFIBOYQAU4wZix9SJoZC1mACYLG4iSElXSPeDV33JNsNrdwxOg8Bu9tH+tRbOxCCFP0IPfxpz011nejmc973vNGec6JckY5nOmshQz9GyPquwTQrjqmXWYIHA0MFcXuu+/e9qteZ4wjScXooH333Zdvdx7PmdXzgsIQ+21vexs/78cdd1yPzW9d2ozhcJdf9kZ0pq9b0Zlg3MixBkZ/4eP2gtKobVj0c6Rjq4dOCaftbNujIgFEMwcvdlQAXP/O0p9Mv/zl7lyM51J4BNqPoWbuuOOOziI2Gb7gBS+wlYGrqHvd616RksqnUcL8X8a5AuVc2bYAmtCOzJhEIBFIBBKBRCARSAQCgSTccyQkAolAIpAIJAKJQCIwNQT4HsG0hjuCzkIxSmuuuWbnrcUeiUNk9YlMHOU5et4ayDIa284pdiGRG1XzXyHm7ne/u7/h/507i0aa+rJ2khPW7hxiTLGZZGDsjH0O9rOuOsK1AHCWPprQThkxdQNDYFCMJbBauMTxcwws4vt973vf29/+dk63kcKjhBwlTGd8WK8Pb0VnIeNGjjUw+gsftxeiNObbxxxzzNe+9jWe6xHuOqX4kOHG3eG9jlEV4E+Gw31e7PtlmMrduRjPMwrmPFJsuz0TRlT7pOJ+NcyMhU8lQbidKefKtssc5aCpnTJjEoFEIBFIBBKBRGAZIjDzntxlCEo2ORFIBBKBRCARSAQSgYkR2HPPPXvyoi8LxdaTbJHews+iqEb5AOG2e/vttz/jjDPmunWPfexjVREWxJ11XXHFFeIdYukvJQEzWxyoYzw7E6PCf/rTn5ZbFCp8mrP7LjGNwAUXXKCZHGU04nsunUnLG883vvGNzjSUB9dcc019i6E01/PwrCPrsAZS7fAPLlKn+Nsj8Fvf+tYddtiBmxr27K973euuvPLKuihhlOi2227LI8oNN9zAy3bj7mSXngKm9OoaZarPghj7zMXNFLdEjDUwZmzXWL0QpSHcBXiVYTp97bXXFvN2kTqLbTuvMuhmQ/epT31qGFnPKMYsE8zFeJ5RJCb8NBavec1r2mw7dzr1ubIzFjVHCZx5wOKenKM8gDnkYI6qzmITgUQgEUgEEoFEYAkgkIT7EujEbEIikAgkAolAIpAILCAEGKgiktpeFIjIKXM/Hb+AmjGRKBrIwn2UC2ZU+9VXXz0PHnU4e+FN5QMf+ECnRwiM3oc//OHb3va2xYKY7w4c33nnndfZaNa4dTy3JEzFnUQ6ilI/5ZRT3LLXoc7VHw7nIR/60Ic6k11yySW1hbs0G2ywgb8q6kxPeXDVVVc57zSMlx24yrL7E5/4RCeP+ctf/lIDeaxG72oabcEoJjG2C4RH+M56x43Uiptuuuncc8/tzKiPCDzd44XHHRidgpXIsXohcqFxKVcQ7nQJBqe5opSGenZEKsLd4OFXPaj5cnfuAnMxnmeUljbFPok22y7jqPEwY5lTT7Dhhhti248//vh2yU5wGKUeayfOmEQgEUgEEoFEIBFYhggk4b4MOz2bnAgkAolAIpAIJAJzi8Dmm2+ODH3KU55SnG+gX/fff/83vvGNnRzT3EozuPSQLQ5RHJzp/0m4/vrr3/Oe93zXu96F8/1/bvx//x8K+Mwzz+SpebXVVmvcmvolm+iXv/zlLNOdUck8vC6fPfUBBxzwq1/9apdddmFQHLecVIl/56bcOZZ1YuHLL7+c2GEkXm4pXM8edNBBv/71r0tkBE488USG53xl9By32MjiEvX/qEc9CtmNW2/c5XTlyCOPxNLW8SyjmedLf84559Txwpq23377Ea+odoQJ7FzKQw45pOGsI9AQudVWW8mrmVh1ZCLv7Y1i8exkg9jKK6/cuDXxpUqpBN785je3q2OPD0kmxnGIaFQx+/E57sDob9pYvVCKwqTzRvLRj37UPonYglBu4d/tpeC9R5etscYaJb4/MHtYpjKexxLD/gZ+itqjnR7i5JNPdpRup6qsH4ep333pS1/qENfTTjuNM6U4TiCqoLvyKG222WZTrzELTAQSgUQgEUgEEoElg0D6cF8yXZkNSQQSgUQgEUgEEoEFhAB3ExhDtNFvfvOb29zmNlx+LyDhRogSvm4+9rGPoZnwxY4/HdcaHSH7hje8wXGI22233TbbbMNw+453vCPrbMwa/9TcUh966KGdtv8jJJo8+hWveAUj9I9//OM8uW+99darrLIK0/uvf/3rlAHXXXcdQnyTTTYppTMAJ5h9CShgwuM9mXvLyOadtb7s6OZvfvObJf3DHvawPfbYg/pkyy235IyFLTkzYWQ9o+yLL77Y2aQ777xzSTwkABO6AW5bnFaKYqa34F/eyGEKTWAc94te9CLerktRkR7ISP8vfelLG2+88f3udz9W6jxgvPOd78St0+7ovpJ+0003RWWSjT27WqDBgw2am1qIoe56660XJvaKJcCuu+6KgcU2OmyA+kRp8r73ve/Vj69//euLlqIUPnEA286hOc0HhI0WTDTf9CS88MILkc5UIBCuq0PpouDpck499VQgo2UZ749b+1gDo7/wcXshStNMqh2KHMMsTrUttYSHGZ3O1H24wiYe2xNOOCF2MCikBq0U3hOYyngea/agkrz00ksPPvhgnpG4KtJYjw8i23Gp9GHAueyyy4466qjnPve5FFE9ks/pLTB6mnbbbTePiXng0Y9+tBnMrEKTZxTpPscIGwNzKkMWnggkAolAIpAIJAKLFIEk3Bdpx6XYiUAikAgkAolAIrAIEECooSwXgaA3i+icQIwzTyxoXBGHHXbYuIS7XNxk40OPOOIIrhj8bi74f/7gRtG1D33oQ0vMnAbYCB999NF423e/+90Y5FIXj+177bVXbTcdt5DLyDXaAubkfhGJ9Ub/Pf/5zxdfSoiAEtD0b3rTmw488MByi1vqddddd++990YWl8iBAYw5UlvVZPaLXCg/VDv6HgXZKEftcOZ+nVKhtnPnklvHYWzr9GhB9CXuXhUI7nKLXgFr/8pXvrLEsLU/7rjjJD7p5l+Jp4PRWNxoiZlK4PGPf3y0ujFayM+bPEwatdBzMC5GWIvn8WMCwn3cgdEQoHE5Vi9EXkjSoHznO98Jer0uUGm47+uvv34sfzL85KCq7SAx8JRGXTEu4S7X7MfzWLOHWcLjScn0lpt/AYL9B+aNtddeG0R4bR6oKI1WIOFOKrM3TSFNFS0Inl2MEUts5DstlEsUfAiffxOBRCARSAQSgUQgEagRSJ18jcZ0wj7Lco/hdKDMUhKBRCARSASWHwJ4H2/SOWo3s0r+Aeao8CVTLPfKzE41h7/pCZi7ggOTVVbhrG6xz3yVhAFsuTtvAb4g2ICzzmbhjsB9zGMeE74vRgnA7ptPGLk4V5GY6fqolOLDat45orYysNdGw7HR7kk/5BbwHV7Kph7+BJiRu+cCSAM5Q9cuTC7GtqcWhu0Sq4KnHdbiyu/sYncxnnBgNW9/BkdAtb18T/kT37KfwM4Dx+3aC4Jjxd6OKoobHH5X/MXP+o1KNmP8uAOjv8CxeqG/qMnu2g/hR51g3Po7WSGzH89jzR66gO8gXR97F7Dw/Y/bZI2ao1yUHHw32RHiHOw5qmIRFTt3lv40iM5qXkRQpKiJQCKQCCQCiwiBuXt/ASEJ9+mPhCTcp49plpgIJAKJQCKwbBBIwn3ZdHU2NBFIBBKBhYuAjSa87e+zzz50Tm0p7bQ4++yz7TKhJ2jfXW4xc0dYJOG+3MZStjcRSAQSgflEYO7eX1qRh6bOZ1dmXYlAIpAIJAKJQCKQCCQCiUAikAgkAgsdAfst+GvyawvKKt+RxRzOrFiPN23BMiYRSAQSgUQgEUgEFggCSbgvkI5IMRKBRCARSAQSgUQgEUgEEoFEIBFIBBYEAo4aduazk3s5IuMqp8h07bXXOiqZdyaHQ0zsvaeUloFEIBFIBBKBRCARWJII9HmlXJINzkYlAolAIpAIJAKJQCKQCCQCiUAikAgkAj0IOMP25JNP5qUd5/72t7/duQIOVHB+wK9+9StnpTqidr311uvJnrcSgUQgEUgEEoFEYDkjkIT7cu79bHsikAgkAolAIpAIJAKJQCKQCCQCiUAHAo4L/vCHP/z5z3/+qquuiqN6Hf68yiqrrL322rM/HrmjvoxKBBKBRCARSAQSgaWCQBLuS6Unsx2JQCKQCCQCiUAikAgkAolAIpAIJALTQ4DTmKfd/JtekVlSIpAIJAKJQCKQCCx9BNKH+9Lv42xhIpAIJAKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCicA8IJCE+zyAnFUkAolAIpAIJAKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCx9BJJwX/p9nC1MBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEZgHBJJwnweQs4pEIBFIBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgaWPQBLuS7+Ps4WJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAgkAvOAQBLu8wByVpEIJAKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCiUAisPQRSMJ96fdxtjARSAQSgUQgEUgEEgEInHvuuRtvvPGXv/zlRGMBIrDzzjtvv/32C1CwFGm6CAx8DE899VRP6w9+8IPp1p6lfeYznwHspZdemlAsCgR++ctfLgo5U8hEIBFIBBKBRYfAV7/61TmVOQn3OYU3C08EEoFEIBFIBBKBRGChIPCb3/zm+9///h//+McJBPrzn/98wAEHnHbaaRPkzSxDEPjhD394ww03DEmZaeYUgU9+8pOG+k9/+tM5qmXgY/irX/3K0/of//EfcyTGcii2syt///vfA/Zf//VflwMCS6CNk72wlkDDswmJQCKQCCQCc43AN77xjTmtIgn3OYU3C08EEoFEIBFIBBKBRGApIPCf//mfH//4x6+88sql0JhsQyIwGgGrL0MdLT46yXzc+dubf/NR09KtY4F05dIFeJ5a9rOf/WyeaspqEoFEIBFIBJYTAnO9iSoJ9+U0mrKtiUAikAgkAolAIpAIJAKJQCKw4BF49atffe211z70oQ9d8JKmgInA3CLwqU99am4ryNITgUQgEUgEliUCV1111Zy2Own3OYU3C08EEoFEIBFIBBKBRCARSAQSgUQgEUgEEoFJEPjnf/7nSbJlnkQgEUgEEoFEoBeBr33ta733Z3vzFrMtIPMnAolAIpAIJAKJQCKQCCwkBHjDuOiiixwE9Lvf/e5ud7vbE5/4xLXXXvvv//7vO2X87//+76uvvhqj8eMf/5jD6Nvd7naMatdbb7173vOekf766693ciMf7i5tvbzwwgsF7nvf+z7ykY8sBf7617/mLvm6665T9S1ucQt5V1111Wc84xm8YpQ0/QFVX3bZZV/84hd/8Ytf/Nd//ded73znxzzmMeuuu+5tbnObRkaNUpdPZJXe8pa3fNCDHvTc5z73gQ98YCNZ+/LnP//5l770JWjc9a535aHb2ZVcOavrwQ9+8EYbbXT3u989snz961+/4IILbrzxRg0BxQte8IJ73OMepbR///d/v/zyy+9973s/+tGPLpEl8Nvf/pbXnX/6p396yEMeUiIFgAzhz33uc//yL/+iRtlXW221pz3taX/zN39TJ4uwxJ/97Gc//elPE/gf//Efiac77ne/+7VTjor53ve+50zI7373u9wf3+pWt3rAAx7wzGc+s+6vktEJuprDffxf/vKXu9zlLk95ylN6hkrJVQc06oorruDz4e/+7u9UtM4669RG2cp3qw1IlPCVr3wFIHG37p1/+7d/0wUG8E033XSHO9zhsY99rGJvf/vb1/WWsAFjPHzzm9/km/tOd7pTjHa4lQR14Fvf+tYll1yivaowxh7/+McrORJDIA7SjHNKP//5z3si5F1zzTVhWArpb29JJjDWY1hnjHA8d6uvvrpHUoxhaUx6pm5961t/+9vfPu+880I8A0PnPu5xj2uXIAY4pgIPpqfmtre97cMf/nAPizmhJI5Wlw7iON5A/clPfrLjjjuWNAObPONMUgpUqVF3zTXXhKuQ+9znPkA29kqCOqDLLr74Yl1mCjKxeGpGPTgl18CulF57P/axj8HTcw0WMqy11loe/FJUCYw1zEquDEwFAZPhVMrJQhKBRCARSAQSgRoBX4/15dTDHV/5U69juRV4+umnb7bZZiu81dYJxx13XFsMS18f7hYtPtAtM3ygj1qTtPNmzLJF4Mybf1Z0r3zlKxcFCMcccwxWhbRkDoGPOuooC/s6pjTEw8JbK/Llr3/9K87lhS98YdxCmljQWt+6fNaznvXSl7704IMPtvDbfffdn/zkJ5fs8xNADH3oQx+yyNxpp53mp8Yp1rL55psr7e1vfzt2Y4rFjipq6623tix/85vfXDiydsyovI349kBqJMjLuUBgiy228Cadi5KVaTQu+WM/8WuHHnroH/7wh5VWWgmJjJVGK6O03vrWt6Jx3/KWt3gYsXiBsJMDw3MFXtuHgS8EFBgiD5FtxnvOc54jmQeh3SMbbrjhgQceGIWYQo844giMFR75Xve6F+oc1evSN4ZPkTZjHrnqvwjBvfbaC/dqliCGbxWkJ76S/O94xzswziUx6u2QQw7ROtwughgLRlrpX/WqV22zzTYlWWdA3r333lvzsWyHHXYY2h0s2oteJCR8ELtHH330GWecsfLKK4PC/K98n0luPelJT4oy8cJgwYBrcrsWHPFWW21lztltt93KXe+XffbZB2GK8aQeMEE5HBU+qjv22GPLxLjBBhuAzvtWj+AiqRA0kHjEwGU7xvP5z39+KXNUAJv/xje+8YMf/CDS0ABQgi7Gv3vBGfyvec1rSkb09Ote9zpDQkvvf//7Y0thjqDHveo1XVlSjgpgw/UaSl27IIblxBHz9f/iF79Ye0PXYiUDEBzxhz/84TInR4Hf+c53ttxyS8h7u+no0jv/8A//oJuIByuyGRU66I53vONBBx20xhprNIQ566yzjE9gEhvbDmrpDUL92FAwwPbwww83ViFDWiP8Rz/6kTFGKohJrEZ0dqN8lzRMIfmQ9pbsYz2GJVcdiOcOOKHA8Dyihv00+X3vex+RKL3IDEZ959PFCKmzC3/gAx8w2jU8HpYAB7z77ruv5zcSQwDFHCP25JNPPuWUU6R3y0eUv8ObPGQmiRqNRiMcga7TNUFGYcPGB9uRRx6pXyKZvyJ9vH30ox8N1RfJNVaTTSweHN1dUjYC/V15/vnnv/71r99///2NW38Va/DA0Aeetj/iEY84/vjjG9qd4cOsIcnyuezUHU6r+QaA6WVapWU5iUAikAgkAokABFhgsDJJKBYZAhalPtpW+I9lkIXcjD/8nbW37+kpCmy5haZkejbFMue6KAtUMvv51J7ruhZj+SeccIKxZK27WITfeeedCYy2KAKz1WrExC2r1vKYWMJZokf8OeecU8e/9rWvFY81EGkVXYqdt4A1sKpDjFLpxON24oyl6rECgSTaaKxcEyfGi6nRAr6U0I4pt/oD7YHUn36Kd+e5j0jOctkcyI5siq2YrKjQ0MzRu1/hk0m1WHIxEjeVYWYxv0VmfCVdHcUh8trTgWMtt7bbbjsxCCYGvyXSGxzz6MHB0IlE2XugsFFSvuIVrxD2K18OX/jCF8Tj+5xPWEpQGn5QPIqzRI4KsArHtbGIr2dXBDGSSwn0oB6HyMsQ9QlPeAKuEKFfSlOvGCm1vUR2BpQvGfYcb8sou6Txwc0EAYf+zne+E3R14bKo0ec4ljzSm8oU0piNS1E0u+76sioxnizZFeJ1U74xKAxwi1K+7GUv09JIvP7660u5xx57eNcgJUsJn/nMZ4DDcBtBXCJHBU466STFUgxTDJQ0wvRY4lmCl0jkuxgca5FKrxkJIl/ykpcUqUr6RuBPf/qTrpEYaKUEXbnffvuJrPvdh7EYlC7+tBRSsrOejsjoHfowAw/Nioctiakf7HWAIVebJVIg3tSbbLKJL88Sr2eZS/u+pT8okZqzww47EAPBajxHfIwxwD796U+nWXEZY9vXjpSGU1yG2EXgGdur8HEfwyJnHfBBQozStJDKsHn2s5/NCL2kpLwxaKWkSyiRAuQUqd/r8QxJ6iLxZfxDw6URi5oXgJJvJwYHShiryUNmEmVSjRDAeGbhXqQ1Po1YtZdvsLils0RS6pTZxmPoOfK0UuqUR7KUUwL9XelNp1gKM8YTBmcpxyaAEIMqsRQlMHyY1bmWW3iOXtmlWAq55QZptjcRSAQSgURgThGw0i9vmQwsGgQWFOFuCRGrhfhr7cGIzM5x344+NOMD3Uenb3cL5mmNZoZR8SE7rQLnoRx2E2T2K8uweah0EVWxVAl35IJN/fodnc2sz6KaVZR+sVTDeojHy1iAufRX/EIj3CcetxNnnGzQ/s+j9djHJuE+Fnrz3Edks9VDN2HQxpJzLhIn4T4xqmjcoBoZ+TYKMaJs8fFVoJcL4c7m2iU+q5HYJbtat97//veXWyZJMb5NS0wEQi8VZrb1LTSWiRTvWejy+m4dfs973qNkNdaRESabW6yk4/JNb3qTS58xjZQ+b8Rvu+22jfjGZVC6FBIFgZIgqD232g0JzUGhOMcl3HfZZReyNcjQqJedr1uFSEK4YxIpD2rlR6SMLytseBG4MwBzXYzQRJU2EmBd1cXuPuINFXXZE9BI5pLZu5SY2fatOsYuIsk6RQoqn3egkn7PPfeU+G1ve1uJCVS1q8RE7xgw7M1LZAnYpYEepRQp9KhtCt7gdCeFjS2JDRg0+vbbb19i3vve9xKgQaTGXbsB3HrDG95QErOeFuPpKDECw9s77mNY11KHOwl3VDUo6mTCMXvXvUlnZjC/6EUv8tg2EmPwdT0tRcQH4U7NA97GKB3e5OEzCe0RbNvDBhFvh4fWlaFLJSClh7o9gcTsRFfUaFr7srMrg3AHgtVQIwuNkd0/VD7kiVtjDbNGacvqcq4X6vplWeGZjU0EEoFEIBGYawSG7MGd5dttqGPNWVaT2VcUAvbz2lBcfrYM897oOxLVzjjLvlTGbiJ9TTJpid2jK0rUrDcRmFMErMnZQ9mfXtfCWNLSzt5zy1Qb3u3Zt79YAvZibBK5EWAXbz+758hf8VRTCvFA1YVkeKEhgGLQTdFlC022lCcRmFMEPvGJTyCMUFTF/XqpzpZ8RCqdYokRYAXvr+mxjozwKqusIsA0vn2rEaMQjllqry+RgMt4jjuQjxSWjSyNy+FisHqWl3eRRgm+ZBC1OLJGfOclBx3Fo05JgJ0UxsG1G8KVvFsMF0ri4QHbAvCGT33qU5Hp7VyUuCJr98S4Re+d2mN45MJFCqBK24XUMRQPupgf6ra3QE4zuM4oHSqZutpIKg2pDU86m7rkRphKgKMPzn8MtsYtlxzC6H1EdrnFOtur9t3vfje9hUg6hrPPPhvaGlvSRIBUnZ7TONjZdNNNSfWpT30qUtoA4Q1OhVB88pSiHvawh3kLMIe3UUAkbRPCXWMJVtKUAC2jV3/dC+VWCYzV3nEfw1LLkICR0D6uAE/NP1I9PJgRWKZynOLbplGs8S89BUwZDBJA9eUvf3k9Ssdq8uwfYYOTc3l+cii0QmDaPl9fmtD2VWIHhjMSOCliJ9Fo3fBLbnashhrpHRhAZWXA0GrEreHDrFFUXk4XAY/zdAvM0hKBRCARSASWMwK2tzJKmGsEknCfa4QXdPk+YRkHxe5d36wskti5LGiJU7hEYFIELM8omYI3KWXYQi7c9lQb8RZ+jTMGeZtVSH0cXCkqAwsHAVOZburx7rpwRE1JEoHpIhBsJsK0s1gEU+Ocz4033pjBKYPodvog4xBP7VuNGOainJ43Il3i+4K0nbEQ7tSJ0VYSKKQhRpxEyv0FHr9RI1tpHqsbkZ2XLHnb8Xydi+S+edQt/GP71owxwQ7TAnamfNSjHoW2rklnH2b4vnZibLXI0De075YYrDokTYAlpgSYVnD8UvrC+ZAIaMoA6UuaCFBdMMgIir9xq1zy226Vwvd37XG73EX+su1gdm0MRCQNKHttWh/8Ka87vPCbohmV03OXXBHABbe1BXErROKCJi5tU5DdkaeNEuIyRnU8EWr0fYvPbbPPEmsCi2kOVTrLicix2jvuY9hTb/tWp3pMMl8y1A9BQNsEACUPS+N5L6U54+EjH/lIraig4wn1T0kzVpOHzyTxCCPT+UcqdUWA6Y+BF+oEj9u1117LSMis1UgWl/rXkLYfpfPukMhOf/0yxjdhedaGD7MhlWaaiREwtu0Wmjh7ZkwEEoFEIBFIBGoEbL6sL+cofIs5KjeLXUQI2EnBIyRTIHty+cNJT0aLqO9S1FkiYFGqhPaCPyiJTh5hljVm9kQgEUgE5g4B9BMeMw547KzFyZBhixp3zXJlomNZ7PRRTttZmLJ+dVBzZwntyHo3CbtpluB4dkQ5ys9uoXb6dkxNsJqWmWkrwY9bDOdV1ul5infgIUIT94pxYzmOUuw0065zNcK45kZMuewsKgxsC3dcEg8J8G0iWZjPd6Zv7LvSfTUaJYtuogDm36zEdAa8zuruoDzWpzoUudlAUkq6ScdsshDnG51/f/bmdiTESaedhdeR9oe5NNIMlTq+hCFJKaITi0rb2MOX8VLCkhqYdlg6M7OkL4H2DoNyizoBL1xqJAMTe1WUBHXAeHYZhOyMvWCLRp23HR6rveM+hu3qemIKno00sS3aCKHVYNfvM6Zn1KHaa7ZdUXa0NAbeWE2+eSK5ZYjUP5Mg3Omf0P04eqMunFy18Wdgri3Y9tLdjfayiBcDaqR849bAyxmRjHKGD7OB9WayiRE48cQTHRHRqZqduMzMmAgkAolAIrAMEbAL0ypjHhqehPs8gLwIqvDZzXSXu2pfwHy8xldsLbc1s/WtL3jLJ5/yDMEsnNiG1F/n1nW8cMjF5MTf3/zmN84xi0JYBMs1boF1emHf3LF6Z1SlXl/hzHwaK9VGFot2e4Qt/oltEeujnHPbejltycepvVyxMBPwYR1ORWASBmWlzAkEKHnbAZwCL7R8pILLogKkLN2I195IXvIO6YVILCVDJwvR29/+9mJIfumll954440q0i5W3qArJEspf3iA5RGrPSZjehlcKlKglXB/CezLnJFlf33ksmPdKXmzcc9igLE8Qg9ZWOosvj55CRhFFsQwsL4yElBCYVoFEzIbUWWsRhMwFAK8E5R4rTPqjCiJC7CN9iKYNFAahlESs9IiD/6ikcxoJIyO7hm9sEIi6D51NbK7HGvc1tnHzVi3iDAeOk/9bLoshDEGPJiAIo+RjxSw1aaeTCJZkbY9gZRGMdg0vE0v9bYD3IonGvIDB/lYA6lUPVnA867tEOD3g9gGJOcPTEFLaaXVQyYliXlJZgZoJHsqDSoPAtZMme09+JqJYuNpIepiLIZ4NRTve9/7htWnsFumpjLsRw31Im0GFhoCnLf0sMmkNQE2ZDYf8pnAzNnbMFyymNXNTvxsOJywkXjUpUHIzt2W/2A/zcMYNC81rxtvilG56nizrqMafWkE0eaWhuDmsOocdJSUJgoO3xkHsIRlleznlkmJUTaf1G1XGyVjHWh8kNS3Rr1B6jRjhb0OVFd/ePRnbyuA+9O373rROxmVzxYWyuYZCXzUgQi56RuvTs/iG7vtaE2w60G3TAW6DOZu9aAkpWHjL6P1usB2mAA1rfnSl76UJxmTv68d0347vZj4bum8pXd4/AjTY+99w1VRo3YPRAmBQGRhd99Z7JDIsdo7wWM4RIZIM2SERKvHam97iI7VZLINn0n4trKPwX4UXvuNVXl9Cdh38oIXvMDLK5oZfqho1/wipvNvtLTz1oyRQ5Aca5jNWGMmmCUCvluce2Fn9izLyeyJQCKQCCQCyxwBnyLzg8D/w4HOT5VZy8JEwCFdDrPygevgI7ZORUgc+uGHH97p2tKyx/FTONNITE1kGVwyWuz5xaVA+e4fXmAp6uc//7ndxxaEJSYC9o9bE9qe3Kbq8JXWgfEdX+c66qij7N1+2cteFpGoJZqGOoENrXHJ9EbJEZ5AgLrMdpjHKGeCKbZxC6Qszp73vOc14scFjc2afoQAwpfj1NIRUaxPVd1hK7cjxRoVDbnEqjiEqrHIMXgcjrfvvvs2bKaiQOt/Z1udeuqpAK+r4BbAwHMm3rgHVqDLuSCgrqhLE8YPiu/cQ63rbW93LB4WyRHB9R4i9GJjGESxainxVoZcDQATeQRYja2rNt4c5ddeFlJiYah1h8VkSa8E+0gw+NilEtkIUJA41hglwRiwccvlwHE7m4yjWqTr1113XV1Wnuh2LT0xttHYyd6YTwxIw4ZrXSXXeUszL7vssjZLGCmpW/QRfpBjhJLXvniLZIehzagbmGAglVrGDWiO8cDnrMehzsvTrqHleQzlSml1SdM5KbnrGTcgw0NxSRwBJJoB39CBAQoj7ymQBoPp6QsVKfcjF1xwQSkBd1+GPalQb+VWBhY+AkjS8CkxStTGXdpZWnYPpmnzFa94hb+o9pjGqbIGEu7HHHMMBtw07hH2WsGSe/TCH5e5YpQkdbyXlA9fSiaTHv6UdtzoDT0QSr0m3OVSsmfcz1jFKZtRKeMJgE022dZOqOsq5i3ceMD1iBi6sbYObC5EonjzkQMTCg/0Zbikp4eL2mlWGpXqLLM65tp8IpeXoxerWUJKn1i1sXwjY2gmdt99934lB31endFUgyIXQ8Hj3KBOE2yzd52lETaAwy4h2FLyv+pVr2qkqS/j3RHKg8bgr5PNGB6rveM+hjPWPm6CePrGam97fI7V5HFnEs6I/JhfeISZmPnCNzb8bLcNh0jRv76HR7kMCkxGOZwZF7FR6ccaZqMKyfgpIsB92T777NP5nT/FWrKoRCARSAQSgSWMAOYqPkfnoY1JuM8DyIujCrYtVk0sy9g8FsId/24FjpOy9LW4ZffE8shyzjqc11EMF3b4Xe96F8tijbRwQhUJWLNhMK2CCp9bCPGxCgzgfI6rGjeNk0IDsWO1qseyWa2h+K3DJbAxuV4q4A4wCL7+sZx2LrOiIrYt1Whua3IMJhM8n2vK9yW9+eabC1gMx+leePYw8I9GuTWBACH5qL8ODbOOdZe5GboZu2FpBHn0K2MfLD8LaA7HS/YJQIu8FvlwULI2Iogtv3WQJS7uW5/a2Y3IYGZeKhoSQBdyQGQXORqFORKEGY4x1XccGcbEwFB4TS4rkxiWT+5qJlWHtZPFv1xXXnklCp6VIglPOOGETs+qnSJhGLfbbjuMcAxLPSUv6hDnghY3YtGanRlLJAog+t0gwSxojr4odwVYdiOFPRQ0OhHfaFSd2HBCiYIUB818j4uDgIWxp742UJ0pBx/alDrXbMJDxm1n+QMz1i3SZVqEs/Ag6DIEHD0WaoZRZHsPeGelJZL5G9MkQGF4raJNOFgJbzueK+gqaGs8udEvJcucBmY/kIaLZ4bRdhsyDDaDxNxokLB2N1saJCZM49YUhOgc2Ee6wNONJmPYi6A035q4PFaYC4PNk2hMmlI6+TIJsO2EJ4OHiCeB4KRMknQbBmrR+c01lzEcwEw5EAF9ioY26xpInVnCAr3colPx3NHcIGdLZAQU0ojpvLTHwosVRX788ce3jWSHFGI/1sEHH4xF9TlRb1WZUQwzuV8w7DZdYdvp87wRRHaKOj+Rpsq6Inb6Hn+d0rldSUrfM/7WZuB19nHDXGObVTje8doN1rUuYVR3AN+k5Odt5d3qLe+VbZagoq6z1+HQyoB6lCPsOnGEzfY04gDx6egbzJzvI6StTG0M0bocMx5lf8xLYe1OSTNEgNj2YReFNtYFlrBW+/TSC0HNl/gSGKu94z6GpZZpBUp7RxVor54Hn5w95g5jNXmymUTvs9rx23XXXTmH4S0EneoR9pEQtXuFDenfUc2cffxYw2z21WUJMyJAjeRQZV9TM6bMBIlAIpAIJAKJQCcC82bervYk3Du7YJlGWjCjPjE1pf04NewYnl2g+JnxfWxN4gvY4vbjH/+4W9hSWcT4CTh4Cn/ki9maqhQVgbEKjCzYKGw7UsnarzAI/H4qnwtXbCDCFJNeWxwTDJGqOYj4spazrkDZs9bcfvvtrfFsdY8d0yGkD7gg3JlKlSwTC9BodX1JVGy7L3i8QCFzJcDV4q+ZbLB8Z25ms22hwicALWrUTAyabQc1hYEk1U1UF1aeTGttHajF6w8jtRGj5KS0KPy4RRHmFOUBOut84IO9Lie4eDoPdIwuiFuRC6/nu5mOR6tlrHONCnMhosusja3Q2PAWQgGAepy+hHGfJX0/4cLZSPS75hg/oI7LUimWHOFumDXiS4ISYIvHWD4eE8rSshc+Gki7QOXDUwfEUFol1ywDGIEQrGfcdlYxJOOoFnmC2E1j5Tj8pbZh2MgyfaDPlhDGAEAtgYIRaxEPyEaUMYl8MQyQvx7tcnfuAlMZSMPFM6KsD5EgnspCShq0HLyYx1DnvHl40nFkQ/pIvSYQ3NMWW2xRWxCbu1BRz372sz3gJnPqMTx+Q0h6IHMpgl7G2pWNZBQqCHcdPeOwb5SZlwsHAXOsl7hXcKcBIOa33hhEBcuimYO4NtuuRUEEz9i02Hxm/i8Du84ypBAvDvTf1ltvXb+qSiF1CZR2eD2v780226wkiIA3gsmfrb0pvd/HSCPjBJfx3sHPdualDKvjTWicp3v82zJLppDnP//50lA21LkmDusOHxge4fJyLEVBT3Ue8IixB8hsYCZvOFL38rKvkYcZHtJ6CHcvXOVQtzTU1aU6mm/evez9iq8FU65tTGYtL0qsN32nGU/5vohqgwnZjclSSCPg1UNnUD4kyEDfT9HYqc9Whe1oxGM0Ha8VvUAV0SgzLhG+PAr2sHhjtXesx7BTnllG+qrxOjCle6G3R4LC2Ub4NvN3lAZCmuFN9toaPpP4BmC4017r+jDz8cbcxMBDuHuX0QMZYKOgYA7PYsNTP9ffDMOH2ShRM366CDCvscGamna6xWZpiUAikAgkAssBAbyidce8tfRv562mrGjhI2CVRUj21CEqu6FwkWE9Vtj2uhUsoVz6yMb61fGjwpMVGOyA9VJh20v5eF7G7y59dpdIX+oWnIxikEoN6lwa63kf9AJI7f5ty6XAcQUoGdsBa4yo3dKuZttLSvQZCoxgbHwicjLQIi8Wwydpm8JACluiSNPw7FHEGBXwjWutXrPtJSUjKetqnj2Az9KwxGPGLapdanhZJJe7JJFLZ3Hqyqt1ie8J4CtpU5gKol3ay0g9bvVuDFuE9xQyxVts6q+//npEqnoL217K90zpApceJVCU+IUc6G+RzkKjIGiQejYojNUQA2OPPfao2faSnWZim222wQbq1hI5p4F5HkgxjSAR2qQkNioIbqwcBIa02sOCG/LQdZ5xbUdRbBTofAqC7aKHa7DtQ+rNNAsfAeoWQhrenaLS+NbmwzhQQ65oTxtZBh6a6r0mY2ch5kYDtVFs+xIJO6oEhTO1Llm8YuiuRrUu9Kxo5ZJ+jgKmem+fzr2odBgNBzgmN19Q1JPRzIZIvlgwyJy/NeInvoSYj6X2y1GBjQ7FU/t26mS3ZbcXZ5RGIWSjp/Hi09jOZNTzbO2tZ8rAoCBnwkwFGAyvbWoCPirQvo3GUhbSBDQi49JeCgGQxiWfJL6RGo7pS0bfUebA2IllK6EvEN88WPiSoAQodag8TYk9KuSx2jvWY1jEmG6AKtdXB7VKu1gf7Qaep4nuqn23xAxv8lgziU84Xdb2qaje+hFG4tPEm0D4nCki1QEmI27ZpFVHzkV4+DCbi9qzzE4EOF30Ouu8lZGJQCKQCCQCicAoBDAzPj5H3Z2L+CTc5wLVxVqmj2+il8Uq42jrMZ+8LNw7mxQ7oH24F46+M1mJnKxA3/FK6Fypiufswtd2zfgz6hTP8r1htFXEoNRiUWsdwpazRPYExhWgpyjLXZAy22F/OipZmOaxS4oEk4EWeRnPxp6Ddl2xvNdxjrpt3+2JwdSX9XMjGXKZrwyRRVsgzA8sAsIpWE9/+tMb6eNSN0UuToo6EzQio3BidCqBJEYB6P1Grjm6pBqJ9T+lFCa6sxYudGOIxpF0nWkWTuSQFmkp3pzMnjWdO1x4xMemm246Kj0FHga5Z3U9KuNk8fM8kPqnEawHk3MG742jEUY1LbRT2JDwZdxOFpNznF9d3zWR2o3B6rO4+arvZngJIGBuN5wQqW0ywq4mrkJqxadn2bxtj5FbjbajQdGjImPoxt2gcRtv/NiMFer5uhAvF25Dgu6sC6nTRDhKIHBjPnHJx1pwoFECU2hUpjHcfl/QHAS3OOqLpV3vxDG+ixjVAq0+OiJKs8Gr8W6iBrbPiZsyu1Kww3Wl3u+29fj06txhUKccHgamabzd+4h15swmmdIXTL/ZwossX32lFpbpJpnOTRIlDVpfu0xZ9sk1PNX4JLNlTWSYRMhiQFKrA80WwyhB1Sgz4NgT2WBUTYbKbH+c6F8W6L4lyhi2te6e97ynzQFcaRXBIoCy51PLrqxyNKvXNPxtpfIZVicGF2tr44fFQ4lvD/Wx2jvWY1gqnW4A+J5upid0CY2SYW7jHUOWxlhtJBve5LFmktCX0Ny3FcwGCRnKI2yAkcHuwLa9woknnkh3Yr9C29Ch0Yp2VzYSzHg51jCbsbRMMBUETDIsGEyhUyktC0kEEoFEIBFYDghwaDGWd4epYJKE+1RgXCKFWP9oSSGv2TcxJWOU2tjtW1pbluiWKyWyJzBZgZZeymQl3UlFWXdZU7HZjHqtJMNci2lPjyRxNqON5z1pyq2xBCi5OgNMisRze2IJ0ZlA5BprrMF8Dy0SCSYDLfKO4rjdtUQJ3ry90o68nX8RH8WyrDNBuH7WBWVJH94GbJnvTB+Rw7vDEpElmiUig6OeAvur68k47i1+G3CabJZrj0btQhi/69NyNEI7wcKJiRbZnt/fIpyXlTxXxXZRDBfe8IhJpjMLCphTCLcGPpidhQyMnP+BFNOIA4ch3BbShEB7YSprb8ppJxbDNZbJ2V6TzrsiY3LunJk32WSTgbWMKjzjFzIC3tf8gdA7IhaNEKQ5epEtttMX8Iltda9Iahg0qLMZUJwMk5HIdk6cdNJJGDFvCq8tzqBCeYO6cgIHctPuFvHhOyW8LRu9PmGxtKpDhPEFh85zskuQmOETfBRuVJJ055RtNKleHyYW8zz9NB8suHW0rIzkj1PZpTH5aCN3z9xNEExi6nOm0/4SZn5mWjtySEUfoOHIdEoItCYHKS5jV1PdWLJ5ZzEGp1YEL5nhrIF0w+DC9mpRnX42YbtbTLOcLVCZQM+Hk1naziG4OUYCh46iYmyuE+lCEJrGhp6iGmdXDnk9SGfAyZX3bH20eKdIFKjaZQuCBqLCsaL6wkcj70CMBvRFGHqbbykbcLK6sv74MUr1Y5sE9wanGNAQ701NABGpyKxRZK693HhraJoxz16e5oDptCboCN+EXJ/5YlFv+YJlUK9F9mYRmysSogLHJ4quBJEPs0LNa2wogfhL1Dq/2MYxsL2yj/sYdsI7y0iDioclpLZR5xPaUxmj1KA1Nhhk6LUZqxje5OEzif2dZgY6GMPPngMd4YlgkUBJQ/9kjopJg2yEpN03fhipeF4M3UjJN5EW2eTaucer0ajOrmyk6b8ca5j1F5V3p4iA5Wq/UnCKdWVRiUAikAgkAosdAQZG82aUWWN1i/oiw8scgeBei7WIdZEFUicmljQMoCzCO++OipysQF/kFvaWCs4X9c2NB4yv585akAu+wCzJ8NSdCSIyvKy0rX46s4wlQGcJJTLYyX5PDpaItROYyUCLGvv9mLONdVRd0a8UIXsCBBtlURu5IG+NZ9WtI5jfijRO/GXl3VPsSiutpFichXV1pyfWkjdKI0a/WZbeZ/U2D5YvJm6ysdoLE6oiZyMQ5saNyIV5GS2yGO5vEQNPrBYawpDuH891M4vZWh1Zh62dUNIDH8w647jh+R9ITORwHAY5KspURvegsT3qh/4WmSX82mlQV4Y9FjL8OLUTiJmi84rO8jNyhSPA45bBhuNGUvuFPDgj26fwU96ntYRecAh3XDaCvsSzC1YCLxzSo1/R6zgyHKgE+C/Eeii5jWTzvO8E7DzWmHVqGKhKZnzauuSIDrM6Kh/92q/GQ6eyY8WYo3qLGDRwIn2T0KCbbSilPD6md2w+6hZ/7VcSK99J4MWkusTPUcA5K/hfhGa4iYtaWADArc2ee4/bVqIvSM6hXBHJe4pSpNPLVkkzbsD7SF2IbKbNfpGdjg1iPp+8bSk27O+hArQTQv/CjYU4YrquyKyO0zQM6sh2GK2s42TXauCXBNT5GPDoStp3RSGscam0NSVNBCha8N18gyBbi7TgYr+sZK7//C1ZmOTbM4GmLzEC2mt8ap0vUr9yy8jELNdfU275hvSVwpFd7f3Zo+EEgtCglOxsC4wuZvKEF8nfl2RD2ltKGOsxLLmmG/DpFVMBPP2icK3wOHvetWjG6oY3eayZhBWCXsCh23ZQZPBdYauHGSa220Y88l2PS1zrsbw6GWromjplKacR6OzKRpoZL8caZjOWlgmmhQDNpU+piy66yFw6rTKznEQgEUgEEoGlh4Ctnyw5xiK+pgVCEu7TQnIplBP7xNsku3h+MNlDYb0ZTvIAG4aTo3y2zIjFWAWycGG4ZDXILsnK38/Ht4WiH8rP37q62Hbqryeqjm+EY986S5lGfOflWAJ0lhCR2O0wkrLi7Uk26tZYoEUhQ1ZTo6rrjB/yRSsN/KlklKDJ4QtoRkO5mP5uuummfsI9iu3XpoTkxJgHwj2G0GQd2onwCo8c3qJotS4bLvOMHRcDLJ7i4cVOkHL+B5KHEdfGGBPdyRuGH/85KCE/egjkXb+GY1Qb2QaanKkoWKfeeOONFp/hs6Jncp6xF0bVlfGLCAHMJvt0XpKp0KjSdbphFuQU1tXJk6UtCDW0OFaLnsbjLA270UJT4uj9SmIB2fHgBp5Ju2yVQM1jw41Dr2nx3tH4qfiWkCYs0+tC2mGJsas0Ur40OP62bcj5yYWfRfH7lVyU7lRKZLBfBKGP3Kdd9jEw5CFqNL+UKcADW41MfYuaqn2LIbbSuEPxUURnDISCWzsxEhkjifB1S3p2xyx5Pf5IxroiB9HXl42wh70R03mJmNYWHQpPmIBRd0RFhkGjCnoRx1TarODrzqcd5KkNCvKd5deRit1hhx0oQrTLeNMuedVSPj9ox42NOksjjPT3a0TKTteCxCeYYUnpglYbNa35SKPMYAdNk8qhvDHslMtRlhlGLw2HlEz7fZ8ok4LZbNwQQIdiqL0p/PRdaJukmbG9dTmgGPgY1rnqsOM94oSPiEQ617xznVK41jeUW7QmNCJGgsfTZyQk9U4DSQ9pe8SWEgY2eayZBOB2KtiFYIIK30HmKF3cXoAQA2Nuq4SRYLsD/Q2FlpTl7N8i56hAZ1fSefuNykL70lDASDnWMBtVcsZPHQGvDOMBk+Lv1AvPAhOBRCARSASWAAI8ybBtD7pp/pvz/3zoz3/1WeOCQoDdE3nqVYrvYEZJNgjHAPWJbCnuY91C0Uc8G6h6B+6QtkxWoK8ozwlTI+Zv/lo5CPipEeuHzOWGJWoPRtsiyrK/Xx6r0E5/C525hgvQmb2WTdjXf0+y9q3JQGuXM/uYIZLHMhvVrrroDoEZu8NSTY9Erh45o8DhYvQUNZVbIU9hFqZS5ootZHiLotWli4eIPSNQ9eAZUuDEaVbIQMJxsGZ1jKSVIfcLHgqzmZ9W0DP5DsDHeRAGNsreAkZ/sSNBFuwDvxxYNhM4ptLkVnwlNwrsNI1vpMnLpYEADgsjPKQtRiAickhKaRBwnVpGA89vYCGdyVgf+3XeakfaObTCNw+Zsthot2UbFeM15wiZUXenGK8iR6cMLNCcwBTab2D6djIv5bFwaJfQGWNaK193nQnqSFOfXx0zKmyaHThWMdF+7XLGau/wx7Bd0bRixnqyOisd2OSxZhLsv0OVOqtrRDJp9x3u14gffjmqK4eXECmHD7NxS870EyPA1IABFq0bL2QTF5IZE4FEIBFIBJYkAqw3HF2zApuWhPsKBH9hVY2kDsK9fNGy67E7m5mw71RmWT6LV1555eF8ULt5synQCp+JmZ9iGcCyaGDqZaM6gxc7UnkmJaFb4ZecpZtdtG0BZhMzUICeKsrWVxZYnVY8nXlnA1pngbOJZHg4Y/ZIE40tx6uiF6dC84UZ2nAxZpR2lgmimWP5wR9YY3GCPzD9tJINb1G0uu08oUeSGTuuHjw95dS3JgNqBQ4kVnJ+LDqR/kwOeazmK8PmIVvsWfBRcA7xM8N2lVUpVp3i09SHWWvsPomjLGqgMpwIJAKJQCKQCCQCicDSQ4BZmJ3NjmTwKbX0WpctSgQSgUQgEZgAATSmo8s+97nPTZB3iln+doplZVGLGgHnF/lewYoyYI+GcItpmNqZe84559hcyeNng20fd1/GtArE8TF6ss2Wh02HfZGW609m7wKxyXSufYn0CNAzBmysDlMp5FpPMrckYP3617/+VXhaoPXXOPBuOSZ3VHrbySMNlwLSsP7zE7DTfFSWseKj2BnFUCZNzFglT5Y4WE7ePPqzUxHpUDY4/cnquwP9HdVZphIe2CJ1xTBu7Ezvl2HGjuMTQAnRy/1FlbuTAbUQBpJHg00WO3TuZbjLMLvaS1T7pC5tbAfw8tj2jTbaiK8GTm8bbLv0407O7SoyJhFIBBKBRCARSAQSgcWCABtGH6W2RC8WgVPORCARSAQSgTlCgAs+p+mscLZd65Jwn6MuXmTFshJ9//vfT2g+DYvxNUsBMfigEtNoFT+kjZj+ywkKZKfJ6/FZZ53VWTL1gBO0OFLATbOhloYNvp3UfLDw7tqZJSJZku61117cO/SkiVvjCtBfID+qEoSoo1KGLq6coTwBaKNKnn08jpXFfU853/rWtxgp23rMm20kCw8DPe5BJeNJ5mY/pa+Z0T8Jj7fSI7h/+9vfRvmdf8nZn6Az1wSRfL/KxYevXQs92R0wyA/y+eefH2kMUYF+j0Z8E/cUOHe3BrZIlzGyJsbwE1Mlvvbaa/sljzLLwQwBlCw9WE0G1DwPJDOSeawcCdgGwZmQNPDiP/3pT7fvNmKMbQ6IEfQ294wyhx93cm5UkZeJQCKQCCQCiUAikAgsLgSYtjB15/6U777FJXlKmwgkAolAIjAVBBAvtuyzZlsg9mdJuE+lWxd3IaySjzjiiBtuuAF/zYdMaYyzyIR7LFjH/ZqZoEDs7RlnnHH66acXqRoBfBMbfJEOg/IXQxcOUj/2sY81UtaXyrz00ks1vI7sDI8rQGchJfI5z3mO8Nlnn93jrDwYN95UndMl8QSgleqmHnAe47nnnttTrKa5y5F0CC8cDjr7u8NA8rNHIczhe8o3Gp1KR7/SOPatkeUjH/lII2aOLil46Hu4YzrzzDNHVWGuD+XqE5/4xEjjVDoBVv+jeGT8bFDPo8qcu/ghLVI7HZgxzJlp0awMEYn5do9ORasDqOK019Md2r7Yv9KuwiPMr1Q7fsaYeR5IfCuZc/i56tFXhWoq5rF++WNO8LCMUoXK7oHqLyTvJgKJQCKw0BCg8XXKqE+IhSZYypMIJAKLCAFHIju/xAIkv4UWUa+lqIlAIpAIzBIBVu0Uro5kDy+1syxtWtmTcJ8Wkou1HLYAu+66a7Co+++/f33kVPg/YUrZ2TbOH9797nd33gqjyzaZOEGBXC7g0BksMyLurAvjFq7ny0lr4WSGwf4opyLf+c53+M9hH7rxxhuXMouhaEPsCQQoZbYDz3rWs5w1x8EIjxDtu2L4xQ5Un//850eCCUDrLHkqkbzinHzyyaM89uiI2IvAuqRUpyFysXCHeYmsAxhYZYoJC9/6Vmc4Cn/Xu941ypeIEctHh0o7s0830ihy0KUyTzzxxHCH0i7f5laimv3DqloCYcqtP//5z5///Ofb6cXYFTtEGyTlqHHbWWwdOSpjadE73/nOUU8QzzAnnHCC0rbbbru6zP6wGu0D6Dm05Nhjj6WccPIeHUYpirtzYb5WSkwdoHexrKpjhodnM5AggxXyu+KKK4bUSM0eZvs9ihm7QxRV5jHhUX0UChsKj1FDjhIidsYMka1OEzUuEHOAWrAMJwKJwHJA4K53vSu2fYWfhbscoM42JgJLHgE2HGh3H2B2b6efmSXf3dnARCARWJ4IIKaYtNOw4gxZtU/MDMwdereYu6Kz5AWLAAcyrGu5VfEtctFFF6FXnAjKxcr6669fy4z5wk1jElnmoonrW8xv991330c84hEMNtGs3Bfc4x73KAnC7vL6668vMRGYoEDfSS984QsZh6ruHe94R8OcluQeMEJioIpVrNWaMDvxHXfcUZYHPOABtRgeQlovGbn4qLULmCZWqDgsdG1t1D+BAHV1jTC778MPPxxFyxJcyQ5NLk4zpOQpYo899mDni5n1jRh5JwCtUekUL1/ykpeg1HkZAnuNniq4eaG5Aaz+KscAiOfv/lWvetWb3vSmgw46iKuZZz7zmbU8FAx69sYbb3RCAK8a9a1RYcnohzgnUazDkerOksVpuvqXluLpT396mNuPKmda8Z4auyUuv/xysGBgGeDXJbPpFilGz5Z4nb7WWmtdeOGFYMHDhk6l3H3Pe96DR956660FSuSowKhxOyp9ie/JWFrkWE7Cs3kvuQRov4xbT8qqq6763Oc+t77VH6ZjwHHTJ93hDnfYdtttyx4IuWxZQMSbi6hJjIe6nHXXXfeaa67hqXydddYpGotIIJ6fFptyhgBVlxnh2QwkHquiUpIbae3C2zEvfelL9957b2oMD055uksy56bGtoyiaXNrVB8B0NzLl47JhJuacjSxLPQ0OP2jjjqKT6r3ve99phQKrRk3jhQxYuo2n5vYG8OypMlAIpAIJAKJQCKQCCQCiwIBdo4+xf18gloSMmvwGeao+bGOC1oULU0hE4FEIBFYJgigGR2Ph/bBto91SN4KwScJ9xUC+/xVyvlAgw/CtreNuLGBGJyGWJgsnCD+FzfN+hgziLjh24FR55VXXslK98gjj8TsINxRnw4l+NCHPhQlhBtozDXSkIEqS17lo3ImKxC799WvftVztemmmyKqfCQ5GVW7+MBBvHrG0Lh4t9vc5jZFftotItEosHZfb731ZLn97W+Pe8LQaRF52K3XBGgRmwbi9a9/PTJUmQAJ8msCAYok7QDSkHk76o0NPq0AcpMWgVkx+oxdtnbd6173kkBM5J0MtHa9U4nBnuPNX/e61xkPmFDee7BySHPA+pYF7GqrrcarfqOuLbfckkWw1u25554SgBdLzg2LJmOW2fv76j3mmGNq3UOjhPoSMkcffTRtioFnjwIAecbHORoJnOMjvmky6AOwt3WuOQ3zyKRpHootttjCEKUjAQurdjKIVDVpG4/hzjvv7DlioQzJDTfc0GPi4UJ02gdgN8ArX/lK2A7kkT1uneN2xib3ZCwtsj7RIty6FnmCNCdUdGIYpM9YRSPBK17xiq985Sus45lgezDNIWh3IPBuT22GkVdmQ7fnGTRyPP7ObWajRPmHbvaYaLJnGUo77bTTQKAawszzQAIjXRQlkGef43uap/ve976eAty9hmgg8YyKOOahiDqqj0xf1CGeOyemUoOZQ7h7ogsBLNUX5QS1k7HkoZCAzv+AAw4oZfYElOPxsREBX6+LpaSWePSjH92TJW8lAolAIpAIJAKJQCKw8BFgdOXnA7LHVenCb0VKmAgkAolAIrCIEEjCfRF11oSito9zRO0xCbdpF+/MHrxNtUdN2FXmqMjrq6++uv40wZHxRc4QFfOF9EHBY4t4mSjy4ZRZ+3JYjFzzE48UQ7hPViAC6JRTTmEAi6tCIfmViliArrnmmqilhhk7ev2kk06S67TTTkPK+5UseHlcElcYbXrXuZ1IUo4dIj0yNwj3CQQo1XUGGODDE7fIo8jxxx9f0mgOFpIYtW3pZKCVMqce4BUHsFQCSFK/Uj5goQrbNrCYzf3224/CRifydFE7u4ix9OpXv9pG8lLUjIHAxN4LWx+oeYqmR0XYfKVRWswn4e6BQvETAzLIU7/SBJI42RIBWmIiwMSGVxyOxqgNatdMnkpmyyzHndbbyDLqctS4HZW+xPdkrFvUeOg8DjQo6O92R5eSRwUUi233Y81t90mdzKEFmOjG/gAJ1CL9wQcfTJXiJAC/yEUMMph/7M6pyxkrPM8Dic8uDdTviHK/WlQaF2z76quvXkcKj+ojUzcADzvsMBNvjSRYzL2eRJOJh85zitAf5XypUZdLOo9DDz3UCLTphJ5DjIqScG8DlTGJQCKQCCQCiUAikAgkAolAIpAIJAKJQA8C/2tF25Mib42LAC51s802GzfXQk7PHIDV7U033YQvY5vMyLRmhEdJzo4e18OgHonD/r32IDFZgTQH6Hv2sLYHskBHWXJdwtp9lADiGZAiLpFH8jKCZlHLgFQrerJoZhxsiIzzq1NOIECdvR22e4B4rFA5gghgGw5S6iyTgVaXMN0wc1qbGDQBsLZnIuZ0dH8VjHBtO2DLDGHOQ5DLDHgbIPeX0LjLsclVV11lmPGbcc973pO9cw+AjbxzccmjjsMG7L1ggo36xK5SM/Qwwvodhiz9pacDCxhRpRPI1jNu+0vrz1i3yIPDAhozPmNH99forv6KB9MTSteizNp3eWd2T7FZCHesdon1tYHXmXKCyMkGEj0KtRyCe6waQRpPgU43NmzvoKHU9T2FjOoj48eUSN9paqLR9ECBZfanFyjWZgtlmrSV2T9h9og9m1s2i9Ra3tkU1c5r3wZdbDs+YxKBRCARSAQSgURgMgRYvUyWMXMlAolAIpAIJAJLFYF8NU6/Z5ce4T59jLLERCARSAQWMwKOwbDRhyukZz/72Yu5HQtU9iTcF2jHpFiJQCKQCCQCiUAXAkm4d6GScYlAIpAIJALLGoFJTCmXNWDZ+EQgEUgEEoHljYCzUh14a3tNOat5eeORrU8EEoFEIBFIBBKBRCARSAQSgUQgEUgEEoH/Q2By77f/V0aGEoFEIBFIBBKBZYPAOeecc9lllzmAYQJH9ssGpGxoIpAIJAKJQCKQCCQCiUAikAgkAolAIrBMEUgL92Xa8dnsRCARSAQSgckQWGWVVc4666wnPelJk2XPXInAskXAUeFOPqgPP19cUDjhwNHNjmp/yUte4jDnxSV8v7TOitA1DgDvT5Z3E4FEIBFIBBKBRCARSAQSgURgCAJp4T4EpUyTCCQCiUAikAj8LwIPe9jDEotEIBGYAAGH8X7/+993YvAEeRdClne84x2nnHLKfe97X1o3h7cvBJGmJYPznHWNs76nVWCWkwgkAolAIpAIJAKJQCKQCCxnBJJwX869n21PBBKBRCARSAQSgUQgERiEwEc/+tF73eteZ5555i1vectBGTJRIpAIJAKJQCKQCCQCiUAikAgsSwTSpcyy7PZsdCKQCCQCiUAikAgkAonAYAR+/etfs81/9KMfnWz7YMwyYSKQCCQCiUAikAgkAolAIrBMEUjCfZl2fDY7EUgEEoFEIBFIBBKBRGAgAv/+7/8uZbLtA+HKZIlAIpAIJAKJQCKQCCQCicByRiBdyizn3s+2JwKJQCKQCCQCicDSQeCnP/3pV7/61Uc+8pH8jP/qV79ywue3v/1tTPHd7na3pzzlKWuttdYtbvF/H3514jYEPHrL+8QnPvGud72ru9/85jd/+MMfrrPOOn/7t3+rik9+8pM/+clPbn3rWz/2sY/dYIMN/vEf/1Gav/71r5/+9Kc/+9nP/vKXv7zd7W5X32qX/x//8R8K+fKXvyzxHe5wB4nXXXddudopxfziF7+QmAy///3v73SnO5Fq7bXXjkoj/V/+8pdLL730n/7pnx7ykIeI0fZ//ud/JuGOO+7YWWAdqfCLLrrouuuuU/jtb3/7Rz3qUQq/y13uUtJE23/zm9+IUeaFF14o8PCHP/z+979/SdMZmFFsuT73uc/93d/93aqrrip8/fXXO1H2xhtvdDrr/e53v2c+85lg6SxZ5Le+9a1LLrlEp+hffeQYZ/37D//wD53pSxt/97vf3fa2tyX8c5/7XKOiM7ECP/GJT+gaTQ5Anve857W7BuaXX375Nddc87Of/Uw597nPfdZcc03DrLPMjEwEEoFEIBFIBBKBRCARSASWFQJ/s6xaOz+NPf300zfbbLP5qStrSQQSgUQgEUgElhgCW2yxhTfpHDVq8803P+200+ao8BVe7Pnnn//6179+//33R6r6i37FQWNvkbMI7kc84hHHH388CjXkLIk32mijtuTvfve7jzvuuLe//e2rr766u294wxvOOOMMLPab3vQmrswf9KAHYclvuOEGnOwDH/jAE088EZX/6le/+hvf+EacKvyDH/wAf73SSiudfPLJd7/73aP8iy++eO+9995nn32Q2nvssQda/MEPfrBy/uVf/gWRjUk/+OCDn/70pzeEOeuss4455hgssLZIQ08gPV/qRx99NNVCJCYGunnrrbfebbfd1OhoU+1160tf+lKjtMblBz7wAW2UWCuQ7IjpH/3oR6j8Pffcc5NNNonE0fZGxr322stAbUTWl0PEln7jjTemtyDwoYceet555yHBUe24bNoOUmnUYYcdVqsWZBF/+OGHf/zjH4c5BYPjW6HN4829731v8W2OvrTxAQ94gDYGgMbGvvvuu+GGG4bMP//5z5/znOest95622yzzS677KI0gBhF3/ve937729+C3YGxaPpI7K943Y3u17m0O5ztCDt5lZLgyCOPzH0ABagMJALLBIG/+ZtkFZZJV2czE4FEIBFIBBKBFYcAmsDiNn+JQCKQCCQCiUAiMAECOPG5e4crfAKRFksWjC2+9Ygjjnjyk5/sa+TPf/5zSM6ueffdd3frwAMPLG2JxI4ALTF1AAUsPXP1iFSmy7e97W0vfvGLka0RiWDFv4tH3e6000677ror4jtuqTpuIaYjxl+G5BKjbpH46Fokb7l17bXXYnuZrrOYLpEC55xzjiy4b9bfJf6KK65gTP20pz0N0RyRCGLJ3vKWt2DPBXbYYQftuvLKK0uWzsA73/lOifHm3/3ud0sCOoMXvehF4vHUpXBsMsFEIuKF/UBasrQDA8WWkbZjyy23POCAA5ic1wL/4Q9/CMy33377//qv/ypV2EagdSShUCloi4TtGmuswcCcjqEkFuhso7ag1xUCyUjMSt2lQWKfwSGHHALPiEf9n3TSSW7Zx6CWiKT8kJ1VPgv3iPFXb8YYowgpkRlIBBKBZYLA3L21s+REIBFIBBKBRCARSAT+F4Ek3JfJl2U2MxFIBBKBRGAuEEjCfWJUg0N//OMfj/BtFMJOGc3N8Qi2NG5NQLg/4xnP4AGmLhnnvv766yNkMbD/9m//Vt/Cz77gBS94whOe8Kc//Snig3BHlLNDL+xtyYI9x+HyXoLkjUgm8Kutthoe+aabbirJIsDNC3YeGR2XQbizmqdpYPrdSNx5+bWvfe1xj3scbv2Pf/xjIwGs8MvK/853vlNuscHXTDR3iRkVGC62EhDuAGHXz2y/XaDqVForRd773veKqRUnJdfXv/51MtNbMIGPyJ42UmAYJzQZkTIIdzGdDbR1QKVXX311JP7MZz7j0m6JUnUEDC246cTS440EeZkIJAJLFYEkApYJArYy2Fnlx7/cMmnyuM20gYyPNRv4Vl55ZYFxsy+K9BzZGQNl/+KikDmFTARWCAI5Ua4Q2LPSRCARSAQSgUQgEUgE5gQBnkOe//znN4rmuQWri8vmnL1xa/ilYsOle8nC//ijH/1ol7h1vk1KvIDVONcxiHVUdR2PjWUR316rc4m+6aabSvypT30q0vPKIjF2/s53vnNdgjDHNWztr7rqKub25ZaML3/5yykASkxPgAk/5mu//fbj0aWRDFb83tAlnHrqqY1bQy7HFZsxOyv7e97znu3CGdRburO1j1u6D+F+xzve8TWveU07MZdBjOUR95wFxd1oIy9D7TY+9KEPxYwz7a97ByD8ybRLDkhx9HGLAxkBYjRSEpWd/j3ucY/w6t64m5eJQCKQCCQCSwABLxS/eXMixHkat2bFG94CBxAyXq+8w/HJJuzvAhd4MvH+/u//Xuv8nSz7BLkcJGMYzGeNEwi56LKA1G+CZ9kHv4wNh4eLrvnzI3AS7vODc9aSCCQCiUAikAgkAonAfCDADr2zGj6+xQdb2plgxkj24+00cb4otnfULZbv9S1W9p3ksjRB7DpHNNJzaIPQd1Jrnb2E2dQLcytfYiwAttpqq3LZE+DxRi3ssx7zmMd0JrMbgGEaU27uXDoT9ESOK7ai+GrvLBCpzf6dr3w0ugRf+cpX2PIjtW9zm9t0pqeEEB8ai9LG0Ii00/Ma/5GPfKRWZujEzpNUGyMHbkp7//vfz999o1jubhzVy/97Iz4vE4FEIBFIBBKBCRDwZqePd3DLBHnnP4vPG/YE9snZc+aVTas9/zIsyRrp8g0DLP+SbN2KahRI/doWMDPK4+tUxvoDcsYsyzbBLZZty7PhiUAikAgkAolAIpAILD0Egh5ttytYWibn7VsDYzrZ2MjbtncWH1Yz7Kbr8jup+UjgWFRLa45c4tLBoU4QDa65LiHCQYWXxCJXWWWVgeY27OJZi3Mp0y62xPCvwjvNj3/8Y4uKEjkkMK7YUOphqMF16aWXWrSjGzjSIUCP2NL4hSn6jG20UmoslgaOHIQ7VzzIeie+PutZz7JzgoeZpbpxfkiPZ5pEIBFIBBKBRAACYdLucHKb5FzO5osr8UwEEoElgEAS7kugE5dUE4466ija4Fe+8pXPfOYzo2HtmMXV4G222YZX0ze/+c0UszNKvtgbO2MDJ0iwfDDBpzg3j63occcdNwFQKyTLueee+6EPfYgBpvMSQ4DF2IoVAl1WmgjMHQKswueocDu7R5U83EDGLtRRhaCeuXMJG3yEuLcnx+643VHpxbMjK3c7Sf9ytw5EroZ7nDqBcGgXxt0QMIHYFCE9wAZcIUb8nVHs4OWHtLHR5OEj53Wvex2PNHzd8Mv/yU9+UjleXjZA8Czk4NZGsXmZCCQCiUAikAgseQS8Q30LMTKww2zJNzYbmAgkAkMQGLlwGpI50yQCU0fghz/8oYXib37zm1JyO6bcWhQBzUEZOMFsiLSLvbH9bfz85z9vLzybQfZ3/Snru1PE5Fvf+hY6mK3iIx/5yLqK+Qz7CPvEJz6hxrXXXvuWt7xlXTVXxUZLjwFpnXiBhJ0NSGYOo4s8i7EVRfgMJAKJQEFg7syy+ktmFMbInRhB/jKmftWrXlWkagdq+n64G8pwA9ovCepcdfyStyvtiZlA7KhoVJlhJReMfPydUeyQOdoY2UcVPpt4bnD8fLB9+ctfdjor3z4X3Pzj1ua1r33tbErOvIlAIpAIJAKJwKJDYLjlwaJrWgqcCCQCkyGQhPtkuGWuRCARGBuBd77znbYvHH300WMR7mNXMzrDxRdf7AQ5XMAKJNwRJc6vI+Nqq63WINxHC553EoFEIBGYbwRqzfd06x7lIkYt9NPsskOHZ+HK2p3fmFEu6WcjVag2uYvpKSTu3v3ud+9J0741gdhU8tCuNQd1sXEAaVi1F7Gf8IQn1GlKmE73xhtvDJlL4nK3EfjjH/940003sUwf5RG+kb7zkti2JPrtuuuu3Ps4hPaMM87gYWa99dbrTJ+RiUAikAgsOgRoMYdwqeyaGwpRWlKnffJ1JuCW2d5GpU7z5/CHVh95YmZWr9ciW5YaMSmVaRFBJCpVWZTZqLdOPzAcO8zKSZhK9o5QcsMpXLs0p1nyo0KesOx2DLhfO1mJUZH0fkUrLP3vf//7RkVaF8rj+OuyuIxr41wK7wxQhENM0/SCjwpK7t/97ncNVEvG4R1RsghErlCKl0uBtqi6FWLgggNJ2m0XH2YH9WCo69KcWEL2J4CnwVNnHBJWNaxgrhZYKcEYmNFwUMN9DEQuQzHGZL++f2CnKDMePenJ7zKgHti6Rm/K7sMyygS+EW4kNAZeoBRpNL/chYzSYAKQGkl9ATF3Sdj/jMeQliZmAJdAkxF6hPEI+NUlq4600deyqLfd4/J6jmQPtA0eez1lFEnUmHDa3RewSBzVuYwJRCGKqmVohBUbgzweXuEoSrK2bMof8qQ3qlh6l0m4L70+zRYtYgTWWGMN/mof9KAHLeI2TFv05YMJPoUywDt72hBmeYlAIpAIdCAQH/GjFsbO++rIM42oa665ZlQxX/rSl3z0FyfvD3/4w6+++mprDEuOdhY+ymlw+RCPk0LbCXpibHWyzrnyyiutLmLx0Ehs5fCFL3zB61iyxq0ZLycQW122PXWWDC6Lloc97GHuIrL9ddzrhhtuKND+0WpbsDlV1a3SRsunWBo10p988snvfe97/X3iE5/YuNV/yUsefHiVaSRbeeWVDzvssJe85CWXX355Eu4NcPIyEUgEFi8C973vfZGkM8pPTUuLWZI5P5P6M+jCEumoDPt9f/KTn6DDSqTAQx/6UK8/u4WEvXcki3mbzrVQw7gtkrRVpIr6xS9+EdrZuszhYZpX5lCNtyGtrdeHw7EbPGApFilJQV4YtxKPx+QOrpO58zZ34Ed8fpT0UJIYJrWPOM2sV8TqAlFkUXidspTTGeDT1a/RC7oGqvqrzRIO6YhGRZjWIptbXtnlEnq6O9IDyjK/ceyntuNSSVJAlt3LlMDOgyldX9eoOaFWH5VAx2kgKvn73/9+nbE/bLwRr70OjRFLl98YsaW0mwFuIqyXObK3E7okqwOdWTo7ZaWVVqoHfDlpBhUex9XUxbbDpTf1kY+iduvaAy8KAQWy2OZ4I6TuON/MhXBXpmZ6WnVZXbVIVhTGc0PloOsf/OAHy37DDTfI5VlWQsmoTz04usw80CktfIwlQ6XoAOTFHohX1y9/+UtlqrrxFEPMw6L7ijD1+IzaSRUB/SVlEakdUJ2+K/Fq9ItLq4ZShZjhT3opbakGbrFUG5btSgQWIwKWqYtR7DmVeflg4o2Y2/DndCxl4YlAIlAjEEbTFq51ZIRx2bHsb9+afYzlxFVXXdXp6fv0009X/jrrrBO18FiCE3c45yte8Yp2vSyp0fEve9nL2reGxGywwQbve9/7HESx0UYbtdN/+MMftqzaaqut2rdmjJlA7A9+8IOdhPs3vvGNr371q04ltfBTL/aBNgKdDUMHzLYlsYtL5HOe85y4FW0855xzNtlkk0Zi6yLlKPZRj3pU49aMl9aKV1xxxbbbbluvuyKXBaRAIQ5mLCoTJAKJQCKw8BHAWPUYC+PjzKVYsJq9DZVnUOHYN7weEg1rb9rEbjNr9Z7tZDDxbsEqyqLSUq8qHK+tECQscg03JzvmmkFrkG7oPJNzTcYNBDZqRPNh7bUU/6sWjcLb4jq9azjkVF2jNAy4W2RA9nldkhbTh9DUwMiFDm4IU5qmFpqJaBooHN+NtsPd0xkUtQExNFOliGBt9M4qG+/aFrsN2eISsahMxF/0QjQNkU08iPmL14bYqBdWkbbREe26lB+iKlznanUhmkv3BSbRfXDWiXJpu/TaDkk+VEmocPFEIrZfJ+FeWGOBngRRWlvazhiCQcNw0tHaYiQbDy7JYBjoIJ3bSd9jeIGJRNah+kXbNQp0hrrvAb3WEGPcTpE92mgMGAkqMjA0Qad0NqQzkvBaJ7umKSHGjwH8PwfH3/nOBkkQ1p15y3MHELAUIxWl4akVQhIdqss0VkUarvn61PPoGQ9pGyWrlCLBeA7Q3DU8PPX+esblUrKicN9RrLr0NWJdRrXQZDQKdBnDFVbu6sRg7UMY0OkUT7G8UuqjGK7COtdfwzUe1fZj7m79i+EhRutIWwNi3JaU5dnRfTM+6SXXUg0k4b5UezbblQgkAolAIpAIJAKJwEgEGE1bUXO7vfPOO/uIL+ksDw499FCLAZZZJXKKAQbghxxyyKmnnuqLvC4WL/zZz37WIczFwn399dd/97vf/a53vQs73+CFUfZnnnmmNQn3XHUhw8PI9PPOO4+xtuqKMVpk/+IXv3jiiScy99tiiy2GF1hSjiu2RQuKQUudsl4KEbCuO+igg6xOnSRf4nffffftttuOdhYsllIlXoC5OgAR92EILyba+Ja3vGWVm3914re//e2W92q0XKzjh4RpRBDub33rWw8//HDi1VnOPvtsl495zGPqyAwnAolAIrCoEcAZjZIfF+asEXdxdoX9DMYNvYU7Kyy8S0wflo3qNPi1tjEpdg/vJkuw2KVS1Gew7Zgyt0q8MlVKPG9DlBz2s11mSdwZwLQi8tBtRC3yh6jIMpwpOtVfpr6N7OrSnDDIjVty4ZdRhMhNXxc4x2LcLQHqVtNUVJjlyIWvlAUNSkVBEiUERavwaClMMIaS1Q1vCNN5qTqVyqhphfiW0keOXnBXNyFbKQaCga0LGdURdZoS1qiQzWBAoItviApkFfmrp1gol4ze8n5M0X1x+cE/+FkIkFyHtl3wqQJ5qlFBwhb9RClTPDKUSCAtkTMGqEmMsYZRfIwunahDCUOkRpkq0tG+FYsuREXRodqr13xHRW8WAcbtlEINq0jTCNOQoZTcE1Bp7BiohwE5A3wDTwLgt+lmrLeGADPaKBC1+PLxPPp8kqX9CBDS3WDq22onOMdzWrQyyoQS2XyLymV+UC8ffYWsx567a1pwy/P485//XEzdXkPCZ3x7cjCwCRMTjmZ6ECJXGZ9BuBtmjQLrwuuwEeInxqNqEgNgKaokG/dJLxmXaiAJ96Xas//bLrom+5SvvfZaD4NHzlxpgW3/db20jqRs3EwZ9KumMzEsqj7zmc+YxE1tJhqrx3h/RGIpP/nJT3r1ml49VBarVl/m3P+ttfWP9thpWh5yj6UZRFGcaPPKGnW1kk8hwoRowazhPjtMT6YhM77jOi3aG4tDKa+77jpVmuPIJkBUoFEPartcT7r51yOT+ZqRnZ9pThZzKC8ojdV7T/b6lk8QEJn0faNEPJWpYvUXScSYNB25Gdp4rzG9ueaaa9a9qUdIriH9AnhXQQYspuBaAOUzeYueNeObmjlm9QVQp6nDsLXqZgjpnWGw6VnLbFm8S0oy0sYHnMQiDUUmewLt2kuWOtDGJAosu94obC+99FLN8aoABQHgXwsQGCozXmwgCgHElE4vNXoQPv3pT0elegExBGFQlwQRGHfYlPRF/esFDGGllc6Fj3e2IRQf7o0avXSNMb4FQgvtBcmHr/HcyZWMC1GjLsPA4x/DgOSecV9autU7vpGy/5LMPhekMVB9ZY5KXMBpd8eoLBmfCCQCs0fAKxihjLfdYYcddtppJ+9lz6ktuieccILpCMm7//77z76Wdgkso48//vjNN9+c3Tq63AzjY+NjH/sYo3Kr+gMOOKBkIeEb3vCGHXfcEcWMGn72s59tNrYwuOSSS9jCm+cpBhrv9JJ3xoC595hjjtlll1223nprhfs08grzwr3wwgtZvpuf3/jGN072lTKu2F7Z++yzz6tf/Wrgv+hFL/Jetsp1Euk73vEOa7zddtutVjZw/7Lnnnsee+yxtn/pOF8oXqbeXNDzYeZ7rPb0UtoIc80EoHeH1yX0zj//fDNz59aBGaHjsuass86iqvG98fKXv9wLQl94b1KZfPzjH/fROJmiYsZ6M0EikAgkAgsKgeDdfLojUgt9ZkrHRpHTrBhrn1pmqxVf+6ZfbxxZagZQadaA2GcJfBvXubwcvaAt39r0lmTW+L78TcU+1C1z2rxhXVQjjDXDRVqpxWKtcVd1VkNeal40taiSifnmN7/Z5uk02TqCJGgHgShQFRZuwt4aDQY2EoiMRbSWYvTKcinuTvAXL+F9B0bINCSP0khiDeULRI2FiIxbPR0xgSSyoLO1Tr/UbHspSpcBUxq9H5sOIUBysMuFZygpBaDqL2BJLoHB5oOhnQCf0O6aOlkjHGtSn0CNeJdGl3hEhJHQILsNHqts8rdzGTkkhHA9cmbTKe0qBsZ4cEjeULqUvAYeGIFvGFj5lvgIiDcUa+474g0tbbHOrdn2krc840qm1MGPl1sCIvVvmS7KLaNUPND0hW8/hZdbETAzSANPCRod4WOvk/uWkfweAYQGEw2FNzI2qpj95fw/6bOXea5LSMJ9rhFekeXzhcqILCbuWg4rzFe96lWNjdLcbqKnP/CBD5jrLfwaLlat+hyE9YIXvEA51qKWuPVb+aMf/ShDJ8W23YCaoBlAYTBrASLsmT/wwAOxeO1bs4zhQ4pRWOPdGWXS/x911FH0CqUK09mWW27p8rLLLjPN7b333pjQcleAe1M0hNbFx1N9S/jzn//8EUccYflax2MrnvzkJ2v4uAQl2RSI4yg73G0zf8973sNBLXO2k046yW7xxvzLgy2+oCxuvYCjOazMLHprqeqwoqy3OYHVBRHv3aClTA4b5bOMk2yvvfbyTq1LELbe1u9Aq+MJrNUHH3xwsTrEntS+gGWJ9Nh8DEudtzPcxiQK1PDVV19dRzsKtc542mmnEQBHU0ZjYFjSSF+yCJQ+Ap0yERYlZQQIgO5peC0Yd9iU9KVwREmEN9544zhG1evcU+kVftFFF5VkEcAuoX4aL2yUkMR77LFH21XuuBCV6nzVMXs0NhpfbxIAB2VTxC5ZegI+cYhnEjCKaEFGpaTfwqbR6yBrRqXJ+EQgEZgLBLbffntvc1ytRzXK962MljUp8eUyFzUq02rBe80sbVqrF4Tq9flR5uSonbG2F5P3LI7er4jkvUzIftVySTwqQA3PKvzII49sFL7qqquirYMdGJW3P35csc2QXo6mWZNhKRkd43OLxUOJiYC3PNX+m970pvIGF2/VzW8MLt5ark5f2shm3y9uYROQ5vvuu28jcZ2xJ2yQHHfccQTgkIfFfUlJBh+KxlIs3Ut8BhKBRCARWJII+HbFu6G66pUg8sskiR3z62y1b+xgML3v6oxyUV5isRtsu5cmmlVknbhRslc50l+BCD78WuNuz6VK3Y2/7WQqxUhqI+a3QVurrr1YiBI0nCT1+wUmXhBK0PB2LRHjlreexobye1SygfFwkNLirqYsGnnhCVhEJFFr1ciojmhkH3jphatFEqP4R2WxxJMGNxIEuk8jGJLND851LjEurb4Vq42Eb/DdCpFgXF41BoCFW11XCauOuYMaS0wEDI/G4rQksKLU3YDVoWXkzKZTSskTBKg6PKSjMmpCDFdcR0NZ5WOGYV+DG1GOBbi/PYbhaG7djYqRkk6i8USPegoMQt0XD12ntBLA0yzRuKtrRnWElJ5TMlCZ/P/Yu+9ADYrqbvw/S0iixhhN7A0RCyoolohGUUGRIiiidJEivQhSlA5SRBBBepMO0gQRRUUFRUVFwYKo2EAxiRowMcYYk7z5fcK8mXcyu8/efcp9bjvPH/fOzs6cmfnO7O7M95w5o5nDDoyqoBkvp/+kz1ilOU8QhPucd8FsVQB7jiX0srO5+A1veIMJgUeRugxJimTEf3n20GdV8XSYIr3i8c4oY/pAz+eHPvQhRBhmk5bPCwKXl84os1nGG4Ey0HpVcZZYHK2WrLS3M+MphSK4MYlMj30kvCm8uXD0LKP32msvtnV573NVmdEucbvs8rzZbUtnKcZYmHLVy4UVtnoqGmNoH7rvUyWfJpYewlvMepXJmE+CDxg7Xxw3mUhtTG71gkPO0kP4KCoLJ86ygEwfbwjDGQl+/vnnV6WMfInxR4PyDIuf9fr2PcbPkm9bPc7C2y2xrizj0BAqzHhNc1qL8w1IlO66666bEmgCQl+1Tacwy/YreCkDDeGC6UCL09/SIphvZYHiP/CBD4Br8803x5Lod18ySg4gsx9nkSd9orw5k11xxRVlJN/4gVUymVfnLG2EgDrraBVjJmmQYx98DimZqA0MOf1l3OL0SX7e856XvpROk1M3QyJz8XkuaDZDmhmq6Q57PdoCY5XRZbKj5HPANxUT1Kxnz2FjBqOesntkKAAE9GMyTp9x/PMzgNqQBc6UH7qYEA33VIIUK8SCppUH7w9RbhdpmqztQFhllVXMErwo0pD2dJ922mkQq3R1OW8zoNUqrEcMoQ7CnVcHefkabkqImEAgEBgKgbXv+w3Kwo7br7zrU+JDLJI9tUW1BRUT6fQd9171Rs2JfSP88mUZ8NH0K2Ny2LfAL1+WMnHocvlaWQ9755ghpAVMTpwDLAHpF73o0BA+NNY/THXS6z2nMV0pa5vjZwxQw5uHeJPb6+arZ27AnJzlQTOjyKGK6FPtshQqZK9KgPiEeXsztoLJoNUvYwW7rwDCqMK0yiLKlw6MpcAcLttoYpbQTuvenMYEr6N1PuLVXetSxgE614ZIE0VySJCsObnKRUQgEAgEAoEFhIBPUjY2ylZEZf29S316zJOtEaya8y0vQ+sjFqytR5WkZN7tXvLW6ZmETR81n6G0aMrSBFJBiGMf6DK+ClvE+U5Z5bWaUVeJ86VpgDWUS0uhDlLSttqcJVXVKglvkCPLQKqJD5kPU4r3xbGC8LmnAy5TVmHfdwsxq/iSPbRcMi2xlCvrUGVsXlKZI5HBC+Tm3Rzj66mXLXkgnyI7OiLnGhRI3WqZVvZUqr9qcO02KKN4Ddd8AylxvgkK3/f0hc0ZtYt8opJYiStbaQlwPtZuRkLONWMg4QBk3Ur+oPSASrdMF1HDeqpsaZXLE4Q6KMfVyJ1CcnqsoAGTqqCOy9Sb6lA+oc30CfxyGKTiNLDZa+ggPInhDeSmqDLGk+X5QiulJyV1GXhN88pkOZw6XS8MQhV5YpaFoTKXS7n0gr5QmWY9s1iBPDKrohM+iuvo9FJODqdyVaPS94zwpFt9JG8ThGOKKp1HLjECgcD/QwArasjO+W+jjTZC5CGLmzVhou6Wh9/HLN/Fs4tEpSHIvJVyfApYkLuLU8aWIuuru6YaWFoJkMLlLbZaSaa3VRmfwpZq7iIKy1uUBCIR4jmyGZNvtQZUslmTlNJMheW4uxjAnFfdxPhpO+7YM59vpYBXAH5WAvxmeQvj6d0tnqVeGZ/C1sxOOWM+xlBOGkxBM00zptlYaMuuYupgp3aVxes1dQ2ORTjdhZ4sYqrE+ZIRvQSM5nKMcSKGkx/VzpEpYP5Bc+Auo/V8y7tVfcyirMBzZA4w7Zce1DkmBSAsHtdfxXdfNjFh3EcOadQPNuBX2VUYdSuBAVbdQluLx/JU8S65U3Br4403Nhes7ioCWewuHUa+NfKwMd8iyq9ZEH2AeIRULkUApS7S9LQsPSeg8nFLguruaBDZ5EGUxqYD0HMpKWD8u2vJUT7OaeSg4XLiqhVmusaJKbIvaE5TBkhDM0ljuVLGR3gpI5C0U//vszrREOFLGdto+3xDwLfSW3e+1SrqEwgEAoHAUAhM9EM9B8LwYrStZggW8qayQ7U9EgcCgUAgEAhMCgHsh/ewt3GHt4Y5+EiMWuT9R80Y+eY1AhTUWEJVRCA2K7rGGmtQuSP+mLJWd80w7F9umh4nmzi+VmjVUJNVLkqz5MYEk5tvUasiAV3abkyhl+NzINnX8yaBr8+RYwaY26skTbUj4JqiqNYTj8MXdvMug3Gm4vR11S2WdMkSnHPz8pbN1DSQNmVjfsv4FKYqxDvTbeATm3eHjWGeryub+8qp7nl9pcdmncd4P4nVvwwrxOjN1oJ4gRefDYoxvyyXxXAr1FSosqrQUv3OR012bcYWUq9RpWJgm0XY66ALKCQq5zzNlOPEaJ3d9E1/AiqMoye51ZFRa4l6luN+baTeYKtSpVEEZETymdu0khh22FTCuy/p8FPRu+66q5HWTGwvQtrOzzlD0yxlWIg4B1CEZ5nRTbMsTwFTBVqr7AG/maYZwwQAn04blMzYmwmAT5XtjVRujmkmi5hAIBAIBAKBQCAQCAQCgUBgggggdKwZ8Ttm+Pbr2M1swdW0MZ9giSEqEAgEAoFAoAMBe/q9h72N+R5A4iPf0SB5v1FHxvl5Kwj3+dkv49Yq7/AatOmGaTA3L1zHVCXR7XNIUkW65MUCqyvAPYhtYs0E6ZjHvC1OAjuS2BqzF7AnupleTNqyjbfNm2Jakw0VmRhhTcA4t2ZMhVZ7r1JKVmbVDussAWMoXDqF19IvfOELMMGE5mRVgIV79/alKn3HJZVG0k8009jxZLe4+Ey4ex+xkhaTiPUqCyXB9ddfLzLT97zfiMR4qnCVOF2ChYm9MEdAKSYNsEGji2KD0yEDrNoE1yp85Ei79Znkt2ZP/WVc9awA/8Xk2KUxaADY2KEraSbYgFclDjVsqrwzXmLAPUR2eyWFVmt6+w9AjW2nEakSDAtRenyyv51Kmkvsub+tj08zcY7hPEe4Wb2UIBHx2btRzhWBQCAQCAQCgUAgEAgEAoFAYOIIWCuxwWKYgtCx/xW/M/EiQmAgEAgEAoHA+Agg31nx4jpoRjHv2MXxZU5TQhDu00R7emUxUeeLSnlsctmWNgvmd4XjEaelVbf4mali0iWSneGwcNMCOiVISqfSmhsRzAE6bjcx9U2x2cFc02q4mbhnDH2AQnncHpQ+Fdpa4iC6majEM5aKgXSaHEcZmjmoLPHpmNmOBD1vMbVomt7nvKl6pfqEXyB3OW9p7h6AjxeWjk66B8kYd/vbzXiympcm72BI+hU27JmCd7f88T9jgOGpy8jJhjv6y1hN7uZLTAaVTnlgm4W72eS/NWWFQE7TUY3msMm5egbSpgrn4NG4DMpil4ME7qbEZbKOurVCRPFgeAyy6/Em4fWF/NbHpyy3CqsG03g+42655ZbqFh2GQcVjHRVgdSsuA4FAIBAIBAKBQCAQCAQCgQkiwKSdvaSlEPPJQTPeCRYXogKBQCAQCAQmggDNKOYdEeFEyQVk8B6E+0R6f94JwXFvu+22qsXGGbfOtrQ60GBQjTMJOyhB4vEH3S3jUYR8dKDSysgUVhkkr0eleWvMGKdYKJSFdSWHfxs26Wxpk++U6m66bHWjkW4le/mSvE5nO8w4URtk3d9agY7IjrrJ1awev94OJuWPPlPkWfi1114rXNLrTl0T032IDWnJTQ2Da4mdl5uM6LnNsRMT1Zs3VeSCZjswLCaD6sMnjJ51qkm37iT5rslnemRpHdVo9kvO1TOQnAINUoNlIXYnCPO/Xx2P01E36ZvV8+z4pXPqs3ABbmQ4NeITnx/2Mr5n2KsgaYCcB1hl4YMej0+Z0ep1qkocl4FAIBAILD4EHFXNJ9jia1e0KBAIBAKBeYVAotqZtLOXnFcVi8oEAoFAIBAI9EeAZSel6UKh3ReYQX7/boiUeHaEGltvZsiH3vczz+Axxs8xng6JboUocXCtt1Jkqz+ZjvRuMQznMx1hxyULA3NGsslCdpD7jm5pPe+i1xWKHtV8R0gjChMX2VFok6bvKCspMLopWtlnTNBRRHlrqLqljCjOD3zgA9SApZkzi+8bb7wxuXxJyXCpaV/CHnvsUZbYDCd9gwN1k609X/9I6gsuuOCL9/3s7kFJpwHGo0uHPX5T8mgxI2DSWhAja/H+Jv/+rWlE8rrjb9ObyqSq0SxX1ySnPbQdzbtlTHqc1VD/lsiPVjdymKLj+qkimKV7lNJx4Z59Du57qu7K6gm/4Q1vOPPMM20E23vvvUslXDrmYVIbQapC4zIQCAQCgfmPgK1y87+SUcNAIBAIBBYuAmwhzzjjjODZF24PRs0DgUAgEKgQQLv77bLLLqeeemppF1slm/PLINznvAtmsQKsmDlqcHQkvy4YtDvv+330ox9VpAXe/vvvj4KfxeL/v/+PB23HkCo9PQOmOyyjGX0rl9txdrsveclLJl4BRKFDPp17kyQzyefhmrNvjrAd8onrbzrSGaEOiQmdUT+BhkZTDuuCY4T6NLNwkHLSSSfpfbxt8q8izWc+8xmVWXPNNTMVm/2wZxfwTVEpxrYJbSEtXTJJ3m233TbccENH7yqFebWzNP0+9KEPSca3T0WtDhI75/EJAVqHGRGYclfmrplxmKmYkeYpk6Uk3IfFFtXui3XZZZdRGstLLK7fQ+rZ8RB5YN/5znd+/etfH1as9LzrUMM49oBJe3LpLvKuu+4yYJIicASZkSUQCAQCgUAgEAgEAoFAIBAYhIDpMRM03mMGJYj4QCAQCAQCgYWLgEM49ttvP/51mYDOz1YE4T4/+2VitWJMuvZ9PxJZlyOj+XJx8CPWjD3viSee2O1IZJx6sITdYostHJ3KKtaRj9x5L7/88oP8uY9TUJmXXmH77bfHKSP0FcrVxqMf/egyQfLWXcaMFk5Wusnyt0OCmvh1JJi9W3/5l38Jc1S47s7nozb9yWQuHhnKIc+w9QEvnP04BmEQ/Y1vfEOJHNzT6xhsZ599tuMEhpU55fQJAbb555577pSL7i4uW4Kjv3l66UjMn0/SaXnWOpLNeOsd73iHYWBxQo/CSxrdGM59xlw9E+DZCefeKhPu6bjUMG/vCWAkCwQCgUAgEAgEAoFAIBDoiYADhFgFzej/s6e0SBYIBAKBQCAwDxHARyEZLr744re85S3z0NQ9fLjPwzEzW1XidwLxesQRR+C5UGmMYQ8++OD/+q//mqXykK3Y9mc+85kf+chHttpqK8dsVmz7bDwPDOoR3Ouvv77jHxF5FduupZMqFJ1NWj73dRCGbHgH3ZpCfHKcnbx2KI5fnZtvvpkfmFLLwtQ9Wbv/4he/GKdK/HQ/4xnP2GijjU455RR+ZvDsvJHwaTOOzOnkTccSGKvTKa5/KfYQJAKdL6buXFQdErBtH8cTuuNSfauw/PYosGR/wQte0GTbx3l80tGpTNpTbb15nDDBXzyFYHfr4m4gEAgEAoFAIBAIBAKBQCDQH4G11lrLTutg2/sjFikDgUAgEFi4CHAahpqbbQceI+AThPsIoC2ALB/+8IedwTXImhtZjJhGfxuUXJzPUnuY0pPMf8sg41zO3CdbtDNCnf+pXW9/+9ubBz+msiZV6LOf/WwCZ3SvMWOCySJQSWPhjk3my57jdbd488BycjVTaT542nH31ltvrbKXlzzJ7HXfL/k5Oe644wwwE9kyTQ4/61nP2meffVyyds+R8zZg4wVmWVs4K++oJJ85e+65p0MROtJM/NZzn/tcMmfcIZUSvOhFLxqnAumBpaRZbrnlBskZRy1BJcOTO8np6FSbIQDOXw37o0HFRXwgEAgEAoFAIBAIBAKBQCDQHwE7NY8//vhsb9Q/Y6QMBAKBQCAQWLgIsLV1LHb3sXzTb10Q7tPHfBolGmqXXnqpbXSDCsO5p+NDnWg6KM2Y8f/0T/9EQschpR3VG63oVCJ77UEUP7GTKtTBs1jaO+64A8U/qLaOab3iiisG3Z1CvBmnPQ2q8YlPfEJxyZ8Mwr0qGi8vJtGg1a18CTe/n//858kc/itf+YoBlh3l52Q5kEh8Z3jmmHkb0I+Jqu5GQHt5wJ+9HSGt+HCFL54bluw6v5mMCiQNMwc2NO/2j5nxgXXu8ZjbIBDulD2WQLahJH8yzpnoX8NIGQgEAoFAIBAIBAKBQCAQCAxCwNrHemfXXXcdlCDiA4FAIBAIBBYxAg7tOPDAA+dPA4Nwnz99McmarLLKKsR96lOfGsR4MnlOVs8cjEyy4EJW8oYxiI/ma+WDH/xgkXwCwYc97GGkoCYHOXJh4p3MeMcvjMuURIYeffTR3Je3CuSag/eMcbx8tIodKjJ5leG7Aya33367w3If+9jHVhKQnirJwj0x8tVdlyjdM844Q8B5FOluGmAd6oTvf//7UlajK207mCun9uozqALOU3L3/PPP5wYnNbD6qx+BgyzO/serBP0v896LPjisttpqji31qHZY1rvFWZBDTSXuX41myu4H1hiwp6GZa6gYamdHp2L2PYnXXXfdQx/60Fe84hWVBPohdkl+Hp/qVlwGAoFAIBAIBAKBQCAQCAQCrQjYNGm67hSi1rsRGQgEAoFAILAUEDjkkEMuuugi+tf50Ngg3OdDL0y+Dg4L5SjDsaWcYDRt2BFefDRzx4w27bBAH7NaiZM99dRTmySmo03f9ra3cTzCsbtSJuXmhQ9rMgk8/PDDK4tghsmXX375/vvv7ywFCTifSa5RxmkjxzU4Sjz1QQcd5NTKShRz6fe9732MxzGh1a1pXvJjxS0Jqp1rdeW2GhRTHuy0007u8ul//fXXV9WjszGK7r77bp2VrePf9KY34egdjortbeob0NPvfe97yanOw0w7DwbpYKpyZ+MyVeB73/teJfzlL3/5qquu+vvf/36HHXa48847q7tidtttN88LfcOTnvSk6u6wlwj3dExrHxy4YTGYfS2MXhx05ULdpYO5L7vsMjL33XdfpvrDVqZMnx5YVHjTERBPMpDhdWfNNdeUZZwHNmksqKmMK9KadUa4n3Pf7+qrry6rF+FAIBDoicDOO+/sQatUej6CvkpeZY5ENg3tKSono/Yjc0Ecy5HrPPEApWMT2D6lOF9dxvRZ7Eh/0003STZI892RMW71R8DxQkBufuj7S5jzlNU4XAQtGgdSrzu+K8eREHkXDQLYdltvg21fNB0aDQkEAoFAYGQEuHQ3o54PnPu8YP1HxjEyDkIg8XRbb701/904VscSOjTmwQ9+MEtYhxZy6YBbdIbqrO622GKLLXgyQdIhZzGVz3nOc3gj4ZPkxhtvRNQuu+yy73nPe4466iheWbC9KjMRg9bdd999++23dzQoqhetwBs1/s6Zk2hE3upf85rXoBs8e3CQABs+DgJ4ahyoysOTQ2o4U3LoEdy0vQVcfmOoDz300MRlD+qpKcTz46F6EID/q1/96tYSN9tsM3oRrO4ee+zBrTbnJDQxBonR8tGPfvTee+81i0WSZnr0MY95DO3FAQcccN555+FnDbCnPvWpaF/MLMrA8ZvIHYdkJvVGLvF5z3ueW/SNhsGjHvUovPMuu+yS704hoAJKwXS/9a1vdcTrH/7wBwMmsfCpp/Qaa3dEMJUV+2uKGWPJMJbS5gCJJ1JJ1eB1HYBw/pM/+RNaolZFSCrLaQFOXNh7772x0NQhfARR4bC1N54NPM6jaD48Sqo3Zt30l663BYQmibF8OgAAy+YoCONZ11OeeVo9PpQ3n/3sZ9/1rnd5qIctNB2d6gGUsaPVw4qN9IFAIJARsJ/JZ8i3L8cInHTSSWedddbjH/94/r68dspbVdj+JJsx11hjDftR8i3qPe+cpz/96TlmCQYcOwGECtg+OMgio+1K3Yl/+9vfSpa8e3WnjLsjI/AP//APQG4aSYwscPoZq3G4CFrUB0PTsMMOO8wraNNNNy3Te90t6N4s2xLhcRCwyMW220k5jpDIGwgEAoFAILBoEKB/RVwgdiqbxSk3MAj3KQM+veKQv5hNFlVf+MIXBPxy2YhXOh/ENEoxR048gI/mNAaPifQvS6cM4IyFiT2DdHXAvbI4dnzrRCqAdkQrmJQTKJBlPuQhD2ECs+222yKF99tvPwymFYtVSk4wWgDhiJhgyY50TibkSQ46g75B67p5jdEKHTYXkp1ig8m/l46ub82OwAWL5px44okoV7+cLPXXO97xDn7/c6QA5hcpr+1I2JNPPrm8hZ3HaFN4yFvGi+EHHGvsJ561+JQJd+S1YXDuued+876fOuy4446JcPcsnH766QgpHcq2ujSvNomnOTB4sr6hbNQIYafPGntYrVQKa7tu6pn1vScI1JQZ5ahW9Morr2z/wTOf+cwRqtHM4rlQCjNY3ur9cgLqOsODAolahbZMNWxiGIF1ItCQoAECNVHJ0X8uJQKBQCAwewjQp1KU8gO2zDLLdJfiqAZ6VurqknDvzhJ3A4FAYK4QMK31m6vSp1au1bL3kp27FeE+tQpEQfMZATaM5q7Bts/nPoq6BQKBQCAwfQTQX9wAICSnX3Qu8X45FIFJIYAaQ2dPStr4ctiYYxd5gWAegjpkWr7SSisNIl7HL64pwdZdfleYyioURfuCF7wgeYtuppxUDPNqTcbjsxdDp/Ja7lTMWfWlDmSGwOx2sZC8uLCPTm5DJtWiqclRf1be6FSrGoiBjjk23UlHBWwgYAivf+XVs2hZRGrH8s/meobwEhuNTYfyHQVN6hZPC9QtTKIQT7ZWVFoBdv26kn2owaMTPS988szG8wIxIGsUeLsRzg3Pw4wbH4+SB1n9891JBZJVO4h04iMe8QhqmPEd6ZR1sy+EtT4Vjn0VZXyEA4GMAEqlVNPm+IkEHF5PrzYRUfNTCN9f3mB0Y/mrZ5eSbSuM1u2GmbHO9iHZCmanC7VxToyFpylnJHLEEUfkyKUWoCFmwVAC2xMBHrQ4LnNkRcdpHEQ52cJmpn322WejjTbqKTmSDYuAvXreLbZULtztGiOPw2GxmlfpWY1QAdp7x5NeWTGvO9M5+/DKyAjPCQJsd+akXGw7G8bwJDMn4EehgUAgEAjMfwT4f55Dzj0s3Of/CBm3hoi5QY5ExhXdLz8C2q9f2smkMudDkvpNRlwPKUBea621eiSc70lwrMyZ/fpXlCGkX//0ePah0veX3DMlQ/UOBtmmBCu6nqLGSYbL9htKwnSGmVoh5oaqWP/EVAU84VByLI7npX/DI2UgMIcI0CMqfUbb9jmsYRQdCAQCgUAgEAiMgADrxWDbR8AtsgQCgUAgsEQQcHiVvfs8+s5Je4NwnxPYo9BAIBAIBJYiApy/2wjC0rOnUf9SxCjaHAhMDgFHVvBxnDbTcODmRAqyOaFqVTpyJuaU9XSsNJ9XKTH9a7UVCX3/8Y9/3NEgxHLGZROMYzySb66q4jblOD5EHZh42/9kfxv1f58NQ/YhmRk7r8KWKXlp6bgjs+uID3oGrU7gSAXZuveRj3zkhz/8IXcTtvvQFPIbVtXBpU1vmmaenQ58ftzjHucwCRvRmilTjG15qm3zln2B2u6wDTUflFg8rBinw1l6Pg2obP3GNPZktKsOQPbC5H+PAYHWtYKsAv1xLqGwz0zrHN0xqLbEMhx26LouSB2t+yo98WR7ymn2+t3RKfZk0M0bqDZV0DQ3wec2ED5246WNjPrdIBxn92RPDLX3hhtuUEMb9dTKWPI5ax1L49ew5zj0wErJ+pudL/eGekqfNhFL4+SWW27hcLI0ephx9NrdYpeqRyD5FfS4EaKs9ddfP5XSv6U9Qa4qnxro4RLvcUjvJa+C6mE3tm1AgYAKe8lwW2fwtO4C9GgbZhpiwyUbCyZBr3zlKytp9nraJ2Rjip2OHCdec801mqkCBEqcDgSq6hmXc4KAkT/CMeBzUtUoNBAIBAKBQGCuEOBa04rGLGL6FZibzV/Tb+c0S5xvLmWm2fYoKxAIBAKBQQggU7iRcWAdT/SDGIFBeSN+SSGwaFzKIIkwOxg69Bza1KELzusehxbsMwxKlzJHHnnkpZdeWuVy8EOrH2THbKCWqsTOREFlZpcyW221FY8W+FDuthyOgrpyuLQWeairwyQ+/OEPc9+BncebS8BLFb6bH3lHy1TcVlWiS1Q+mttZIOwWObfBPqPPUKuOicatJ4dUzsBQNyQg1tgEGh2Gcas84RClXE5a0Gdqi2fEMiPavIv0BQc7ThwpSyeBwwrnfIjE9eN8aSn03SqrrOIoFHaUlUsZlRFvEo9/5KKEDx8UMHoaH+c8jNzRYoZyKUOH4YxuR31otWEDN9UgDa9EVVBWWLg/zhUUBic8dRA2X20rJegFF1zgTBfI62gkO6rUyep4TCerb7DBBrkOE+wpngCdxa2xGHa0pnFldOFDdd/rX//6XKI+UjF+yWCOKsWH6nqe0Ggj9IWeyilbA60uZXpiqD7GHs2KGiJ8HW8rbAxgYI2lvINkzBqq9lDjMLfIiHUejOH66U9/2rBpNl8v69azzz47bQDtOXqTpyOYe2RsynZJsgOTzjzzzKFa2hPkZrVTA6t4Q0JlRCaXMk6n0DUUIWm4AgFdbi/dgQceWJ6R4/F3Vs3FF6sWQEoAAQAASURBVF9s8DjE2MDWibrV3juuxpyvk0vxrPEJ7qfa55133qMe9Sg97kH2gGu1o2hIzokjkBAYU8s4Aoxe4HFQ6gi4RZZAIBAIBJYgAmZHNPEmP0uw7YutyQh3s7H4BQKBQCAQCEDAGthb0UGp1qjW+VtvvXXAEgh0I4D7mL2ZAeHdpU/qLtNRrJAxX/6Y4/E2O6kiWuU40VqJiFR3MeM4Qc+gGFSpsB8z9taMuE53UVcSO2vhv5PedRcjUIkRWCLR2eysuUEkNklg8OvRdgvthbTKYhmei8TMsk7NkTfeeCNzYPbUDHJzZGuAfNkPPvhghDt+UCkpGbZLBdDZV155JaWdHTM5u4JMo92iM8iRiHhG2chBlBnuOMVzBq3OUlIkYHVzYgFknHJ32mknCoYc//Wvfx1nJ3LnnXd2NwGb7h5wwAFiKDAQvikGi60s1OSb3/xm4RQJcMmgl2W2BpiTS0Z1YZBgD6s6aB0rY11Z5u2PcysUdBiYYoU6GLzsvtNOO00krQzlRC7OYS1vetObxCNtc+SkekrP4sqNDcuhLJx21tOqREbNOfKSSy4RA5+MORYVdC++72eg5pStAfoe2cth2RND/e4YA4XQn2XJ+ki3EkhsjhyzhuQMNQ7LFp1xxhkqQ8eWK5MD+tezYCTnmJ6jNw1LRzv4dhuBcnmDJQD7t7QnyLluZSC9xLxONW2bbbZJ76Xc+1532kVB5cwJ1HnOqMI6S4UpinJkelnpsvLhEjbUCbdnIqf08hHj6fAKsj8mx9NRwdAtJ7jmyAgkBGbvqz1IMvVPgB8IBAKBQCAQCPREwEx+0Acl4hcSAkG49xzxkSwQCASWAgJpiWuB6oevKRe6S6H50cYREFgEhLtxzu41Dfvm35KzGwGf7iwl4Z5Sso9WB0xZd8Z0l08GiVkQl4kT4Y5HbhXCFF2Wr371qykL02xs+KqrrppJsSyKexkU2HbbbZdjWgOJxsWJH3fccVWCxNwpzrmX1S2eZ8QzUc/xjPHFsIXPMTlgqubWO9/5zhzDf4sY1HMmyvMt9t0s7lmXS5AJd/oDl1hIhG9OmQLq5hb2M10ORbgjnR1aW9LfSQgtBQKRkiCrH4bCOUHRyhIir9U2U1e890DeuzrpWsqm0U/QrOjBZOfr1qR6KjGeX/nKV8rihNkUG8/GkkC6JeULX/hCexSqlCyRteKUU06p4qvLkp52qz+GCFzyTz755Eqg8QATXUORk26NWcNhx2HZIq8dD6nnsaqkS49nOSb7j95EuLP+9gh4fkvJPVvaH+RSeBU2GtXfUrmKNzw0mWqzOSS8Csou81x7hGlNck9lURRLUnruckwi3HUrrU+OTIGbbrpJYnt9qvi4nPJa3VFAgXkgEAgEAoFAIDAUAtXe1il8ue4/hTKiiEAgEAgEAoEliwCGyJZwm/3PP/98PFSrQ94lC040fLEiwEY1eU5vbSB/Bdif1lvzOdKMFm/brCHOSySj13QL9YnSwl5VXkrc5X6d6TdelS1qU04VwyMEq9UqEhcshvOW0lNESrPSSisJIKbTJZNYrCLKDB+aYsq/G2+8Mc8tbFoZzKZ4FLwAYtHB2mVKYbNzFu443zLeC80x4/vvv3/TkQLnPPx7sP8dYeMq6KgBSC7LEuZ2f6ONNqI7uf7669Ot/jgnKJiQp56qJCeQKVpS/FlnnaWj99tvP95aqpQclXDwolG2HZS3xuwpLsKZz6PPXvSiF5VihTkCsjOD3w/alHQL6a9iXM1UKem3eJjpeOiq9OmyP4bqIMvDHvawSo6hqOZcjlBKpVtj1nDYcVjWx+eVrgtlz31QGS/MLN1A9TlO8cOOXvoYH/F8fEIS0rOl/UGu6tzzksZrhx12aA6J9ODn95I3g0eYw32ekSrJ3F7pRw9XFU8CHzVVpFcKT1ZZbHU3LqeDAKdA3lTTKStKCQQCgUAgEFg0CNjCO+W21BP6KRcfxQUCgUAgEAgsbgR4WLYp+zWveQ3HzU0WaXG3PVq3NBHAQ2VWtBUBtCB3KK235nPks571rFbDEM+4aidGUoCjcwysR761LSxMxfPS0Hq3jMRZN/nNdGgn5+ZN1izdYuiahKQuwO+XMsuwW5jlRDQLMFxtnsSY0/PoguLJl0rhaobbeiRvjiwDmsmwlyV4GdknzHzbyautKRNd7vTXdLc/zgkKRuutYikeuKFHWbpLD0Q+5JP2opmeuxsnhTL3xnLmu2P2lIYQBeEssAww+cew5wGjLCONpXlZAekNFY6GeIEv884Y7o+hcknDU3NRUondfvvtOfvOzOw4NRx2HFY1ccnW21/HGpe37Irgq8fQcoiC+BFGLytyOxtKmcI9W9of5Ep+z0uKhObZBvKmxub3ElbduG0dIR5VLqegVJVoa0UVky698SjGRlCntUqLyBEQcKLGoPfkCNIiSyAQCAQCgcASQYDBjansNBv7/xYP0yw1ygoEAoFAIBAIBAKBQGBRIsB8e0YuhoFkop4XEAKJWG9W2OGiInlBSbd4UXfoJY/wzZRiEk/ah4luJfeTzNYzIZOlOcoypeH+QiBZxKeY6i8OUUyyVOWLg/Ur29UqTb7E7yPs8qGyHE1oL7adM4qcpgwwmHWpmdVZsmWa1jCtRmu8SBVgxpuh64/zjFA4TjYVauiiHTtAkwxuXNM4qpTRfco1Zk8lVJ16OghM8nOrbTVgEc9dD1cnniBG8SussELTujlVbMa//TFELtNYXHbZZW984xtXW2215F+I7qFZxDg1HHYcNkt3PK/zddmzc3ee76K8De+8KWSE0dtk2wnv2dL+IOcKDxXQ3qb6jQTH2Nqtkt9LtIDGWJbMT5QxbF8CDYpDAnJ8GZjxjVcq4cqMEZ5VBHxx7BKb1SJCeCAQCAQCgcBiRYCVSVLJT6eBQbhPB+coJRAIBAKBQCAQCASWBAKMH2dsZ580MwqZcgKM1Ywlomt5tea9YZA9dZJgE8CMojrIrD57ZVi2ktC0kc/l8gshnGrCzbow5i7fbQZKDzkpPT8n2dVJM72YPs2sMnbUgUaBpiFZ7A6F84xQ5DqkCidkcmQVSPR6Nhx2d8yeSr56eB6vCiovM6NKN8BFiWNdOTnx10/pT3/605HgzuXu6O5SWgoPhaEsjGqpZJwZi+vnjEiMTRUY//XWW4+jkix/nBoOOw5zoTmAYuY3RiVpkrIHGPy7XQKcsKdkI4zeVmD7tHRYkHND+gf6vJeSNOS7jjNyeN1JQ51i7IlPfKLBQ5XSLLG/5GbeiJk9BBw7MXvCQ3IgEAgEAoHA4kbABilG7nnD6Gw3Ngj32UY45AcCgUAgEAgEAoHAEkKg1e61an+fNFWWBXGZKCrmwKxfOyrcQSt35BrqFh4Wv8bgPVm+N/OmXQjJFD1RxsjBZrIcU95NzcRsDvKck3INcjiTZTYD2SC3eUuMOidr7qFwnhGKXFbyX99dh4RDwi1nHCdAfeL3/ve/v0NI2YkGDzf3e++9N9/03/rWt2655RYOZz7wgQ9cfPHFzslEvnfIKW8NhWHKiLP24xIKY+t0WeXisv24Jyp9lYxcw2HHYdmcHOZVBuFOFZQId8eNcqViN0BWWowwekv8c0ECM7Z0BJBL+RMMc6TDb9I3v/lN7146Ehs1eKZi45aaRoszwbJC1OwhEObts4dtSA4EAoFAYIkgwDPhIN+JE0cgCPeJQxoCA4FAIBAIBAKBQGDpIsD1B6Y1n97ZBALF84pXvKIZvwhiMKessPmN4dpibpvDEBvb7iBEntlba8KhhPh0jHPy/57PvWxNXzrJSdbuPFRMvJllKVU1bB1glptI/KFwTlDcfffdXP1UMtNlOmOTA41kvZ6QaU0pssRtUJqh4oFpwFj5tHoKGiQKAtz1+Dmilg7gvPPOO/HEE7HeTJUTyTsoY44fCsOcSwDL7IxWv1133ZWvGwfMXnrppc997nMrN/Qj1HDYcVjWKocZnqcDgXfffXd1cFwEB+XZn4xkEx+93S2dJy8E/vex7bZBGCTNg5G7lUwZ2wjMOQJh3j7nXRAVCAQCgUBgoSOw4oorTs3I/f4LHayofyAQCAQCgUAgEAgEAvMKgT322KOjPijC7P+6I9kCvYUD5SS6dDlSNoSX8O222w5BWUbORhgBSmzHjtEbb7xRAidJ+osTZPfKZtmpoS6bP2x1YqXTLaw3S3O21c2UKYbVs2aygx6UYFD8zTffPOgW3+VowezkvT/OCYp0NmlT+G9/+1ts7IEHHuiWYYlN/vKXvzzoEAJmwl/72tdQupI1RY0WoyEyDgJTTXbbbbfDDjtMGvbs/LqoXlUQ/nTrrbfGgP/kJz9pHmpaJS4v+2PIAP+II44o86bw8ssvn+p2ww03iBmzhsOOw2Z9Ugwj91/96ldf/epXXRqKxnbpl38io7d/S/uDPKg5E4m3HYFiYK+99mqy7ZwaeQomUkoImVUEbAFJxzvPaikhPBAIBAKBQGDRI3DwwQdPp41BuE8H5yglEAgEAoFAIBAIBJYKAs5UxOy0+mHgkqKbjl/oGGkgg+VWn8iahmrHA07Bow5nL9ye8K3BvLcJKYrtkksuechDHsLCJd1dffXVkW7XXHNNM7EY5rFlPN6HbbvTIAdR6meddZZb9jqUufqE6Sq+8pWvtKa86KKLxGcnNv1xTlBceOGFbOSbkjHFePyMw+te97p77rnn6quvbqYUAzQoTfa8Xw0heZAO5vrrr+cRJR13CXb0MRfqrXVLWxmSR/jWBM3I/hii8g1ph5o2hZTljl/DocZhszIpZo011qAQ+vjHP37vvfcaTvq0fBdNZPT2b2l/kAc1ZyLxdEW2PjTZdsIHjfaJlBtCJoiAwxL43p2gwBAVCAQCgUAgsDQRMN3io2wKbQ/CfQogRxGBQCAQCAQCgUAgsLQQ2GSTTbCuCILs4AL9esABBxxzzDGtpM88QSfVLR2rOFqV1llnHZzImWeeyWC8koD7u+KKK7hOfslLXlLdmvglE+wtt9ySZfrhhx/Ot0wpn9E0g+5/+Id/2GWXXbJj60033RT/zhX4XXfdVSYWRkmrdjLEzrcI17MMZHCaOTIFTj31VIb8nFc89KEPrW7NeKmUQw899Je//GWV8iMf+QgT9b/5m7/JFu79cU5Q8K7z7ne/my6klMyLjgGp4bxap/gtttiCyxEG3TyklymFGaFrGrfXsKpujXO57LLL4mTZrXPCXsmBw9FHH01xYlOIW8DBbvNO3qwbnv3Tn/603mRyXgnpuOyPYdJzHH/88dVYIvzKK6/0NzkDHb+Gw47D1tZZQ7761a/mTAaVrMcR7lWy8Udv/5b2B7mqZHk5/nvJ7g2uhwySUqywHRtnnHGGg4JbNXNV4ricWwQcljC3FYjSA4FAIBAIBBYNAquuuuoU2hKE+xRAnl9FWFzddtttdlLbtsxgp1p6za+6Rm0CgUAgEAgEAoEFiwA3DghKXk2Y5bLSRdquv/76panpPGxZ8nVz1VVXYXgZF2Nph60k0vPII4/UzG233RaTZabhkMnbb78dl803yDLLLIP2nQ4I22yzDSb3ox/9qIBpD8NtfjY0CqeMQ0eIb7DBBrl13JermBMm3WXHzYEMh+nf+c53jjrqqD333POtb30rv9g5sYATKfnIxs5vttlmaE2TKwz+17/+dYd5nnbaaUjknXfeuUzfM8w1Cttk2poPfehDvKPwzINcVodDDjkE15wcvyRRQ+GcoGDyTD4oVBUUqv2Wt7xFEfy0JL/eJAvguE0ONVn3Je9AP/zhD3lI33777R/0oAch6LOWomejZkzGDfoTn/jE9773vQcddJA5KuSVy+YdtuoJ0mTWatg4LpW+BF98yimnfPe73zW0ku35xhtvzP09/85D1a0/hmuttZbH2YOs6M997nOGR+puPQIQTlqSEmL8Gg47Dgdha3gbzN4/z3/+83nnr5KNP3r7t7Q/yFUly0uEO00PHd7ZZ5/t4TVIyrt9wp4pLmU8R+eee64nyxjj0t2biosSw4Y7V4+wB62pJuwjPNJMAQFqJKcmTKGgKCIQCAQCgUBgKSBgDjCFZj5wCmVEEfMBAUsXC0iLhGo/rHWdne9vfOMbWeFNs54Wb1Ypjoc64YQTZq/c6ZQybP2tFZOpmsU/6uHtb3/7s5/97GGFTCq9JYdVvVWHhZm57LHHHjvUYnVS1ZgrORpufeUcOX/71wFJATSWhjvuuGP/XK0pPQVGqTHwohe9qDXBIo5sfTxRPHwoM6581KMetYjbHk1bUgiwz11Au+BxcxhnnliSc0P+qUdw/8JpOF6Mz+uT7/vl7vax23///Z/+9KfnmFkNsEDH4TpO84Mf/GDJ1PCUjUNvmmk7yRZXbv79nvt+qW5OVfWi5uW8OS8nAT3qu4kmzg1B6nHogSNmNp4j+wfMys455xxloXHLgxxtfd1nn33Y4Zai+uM8CAoj0/u2OsJ35ZVXRkrCoOq+F7/4xaj5QSevlhUbNozlN2A0mXbEFzZnVz1f5+xFRzzXN+aNIk+/75dT4ut1BDfuOaZnoCeGulW5ilA9n+wsnGcVmwOoXnJ3j1/DYcdhrkwZoB6gPKMQKo9LLROMP3r7t7QnyGX1mmEg2/xBb+cWJ/XDzpzVwdvAfpfj7vsl+TZ/eE3ZDWD88BBFx/O0pz2tUq01axIxc4KAHpyTcqPQQCAQCAQCgUWJAF27aTzDjllt3f1mVfrSFM7JJkOb+dN2LjvNLS+//PK0crN6sXi2trH9FvnOMihV1TqK3YeF5WRrftNNN9ltbfHGMqWU7LQlS3pDfJAvzjLxyOHplDJs9ZjS2OcrF/sge5NHWyIOW2hremPAWE0GjKky2VNqa/rFF8nylBEiPw8sT/u3Dndj4b3mmmu2HqHWX46Um2++OUMti0DrvaEyLoLErY8nxYNN3zRSVr+5jQw8sfO4g2EX2FlCBBYWApig5K56NqrNzpEz69mQvJhk8nec1PNUX+NoYfF9zJB5/UZH8kGRzOenD5S3ihNHWUAz3MYX8/7R7dXHO4dPGLkYlUuMVO2oM5le42xmuaQwuTJ9Z0zQkb7nLQbUxJpB8UujDuZLHRn745yhMP1gl+2l2tE60wNbE5jAc6GOhWwaSndUabRb2ksR7i9zBLsEjJnskakUqPLoUX2UbAU4KcKTlglGCPfEkLclH6/k88fTobuTf/mqxInUcKhxWFWg5+X4o3eolvYEeVDlGazYW+AvotxvULKOeOOfZyQDO5nM43A7xn+HnLjVRMA6ohk5wRiKTwvVCQoMUYFAIBAIBAJLHIG1117b7s9ZBaFrCTGrBYfw6SCAUeWi1OrFNMj20o022qhak1h/sidiWMR7prs2n1YJxqwnYzGl4xMrwn1MsQs3OzSw7UzYbNm2q8BCxWpnrprDlseqw5qWsZj1Kk5kOmdHzFV7o9wFisB1113HFzbfnUG4L9AejGovOASQ7NjY8auNYZ8rkr2sPHJtqF1EbPD7m+Gzfca6+pUljh9mzF4ZnnfI7I/zUFCwz/DrKHfit2gs+lipm9MO1Ud96tkTQ/oP+9tmFDiRGk68jc1qjz96h2ppT5Cb9UwxyPFSGT8oWUe88T/lHb0dlYlbQyFgN/ZQ6SNxIBAIBAKBQCDQjYA9qUG4d0MUd7sQYAPCepclDusbezBb9+LhwXlZdaKRlKzdt9tuO74ypuDMwUoSfTbCeWJdDW7cm04pjWK7IpzO5DZz5j4Lti5Bk7iXKsOJRzpkrNVKaxLlLDYZbO6C/J2lTn3Tm97kxRVDcZbgDbGBQCAQCAQCgUAgEAgsLATYA01cqbmwEIjaBgKBQCAQCEwcAZSO86UmLrYUGBbuJRqLLcy6HNvOmNqxV922WrYJc4aJeGXvzL+q9LONhRLf9a53LY5ShmpF2oY8hX3ZfWo1ryrTp8LzJM0q9/3mSWUWWTX22muvRdaiaE4gEAgEAoFAIBAIBAKBwMgItBqNjSwtMgYCgUAgEAgEAhDgbZtCl3/C2UPj/rMnOiTPLQK8HHIUow4Od+pm21M9GYOnE9JYPV9//fVzW/lFXDr3kVrX6pN0+q2eV5WZfvOjxEAgEAgEAoFAIBAIBAKBQCAQmM8IzAfXZPMZn6hbIBAIBAKBwGgIdB+SNJrMMldYuJdoLKqwQ+GcksoHq40SPRv2ghe8gKsT7pLlzT40KXzuvPNOHh6S20Q+x7/yla98/etfR+jz/Mj5DGPf5z3vecJlKbzT/O53vxPj4DV/Gc5/5zvfEWBuv9xyy6X4H//4x3wpli7jpcFEP+MZz5CAWwkHeH7jG99ghf3nf/7nK6ywwmtf+9o//uM/div9eJ//xCc+4ZgyBXlOXvjCF77sZS+rqqH0qhTnNfFU/j8yBv7naYcj0fK2I7xuuOEGB1j9+te/dvibmR+I+ruS/Pu///t77rmHQNn9dRpyAqRCwK0//OEPX/3qV2+++WYHpkFb057//OfzOFm2PVdM1+ggZ37mQ+2cLfm9732Ppi73YE6cA84Zc5SuSye8+UuI08kEHvawh1XeWvu0Whc4KoDCZpAnoh/84Aca5RA5KsRchzKQ6jMO5uXIIdngsbdDX3OVM5TXb4A4xReAOgiGHh+ef9KILSusaxwn2IQrpdHRn/vc5wyVf/zHfwSLofua17xGR7ubWmrYDHKZovs+85nP3H333R5eI9BBeauuumrqnbICw4Y9rbRonkqnvfHjZFvuaqutpoHk6Ds9WLbFAwK6/Ki2lmVgeACJcvxglQCGjqKFPwz1u4cFjC95yUuS26IqcfPS+YpONZBYqz376dxwgEvp2UlPjTAlokebxqgDzCQ8vYvUc7YdWDXbEjGBQCAQCAQCgUAgEAgEAmMiEJ73xwQwsgcCgUAgEAi0IoCmwIa13ppI5OyeJz6RKi44IRdddNHGG288t9VG1DprC7m2zz77OAq1f2VuueWWrbfeWnqnB6RjThm8v+1tb0M7nnDCCbiw/fbbD4FVCUR+HXTQQRxb5/jNN9/8tttuy5c5gKe+6qqrXOLjtthiC2wyfjPfRdyj+W666SYFveMd78Do5VsCuEue6JWCixS44IILquNGVeP4448vad9mKZzUo7NLsa3hfffdly/pdEtxfOzYLoA9rBK//vWv33PPPRNxWd2qLh2RamBUkS4rBD796U8fc8wxyNwqpWS77777mmuuWcVvs802lB+geNaznoWLPPzww0EnDY7+zDPPrBLnyw033PCOO+7IlzlA/hFHHJEu+7f65JNPhs+LX/ziU045JYvKAXwu6p+0QQkoRYxV2J5//vmZHO9feioojxyXhu5xxx2XiFrdvf322+fKNAOoYacX0FhcccUVFDw2eSSNSJnyda97HT9LJev9wQ9+0ONQwpXSI/odO3zeeeelrQNZiO7TNXRCCXmj9OUvf3m6m54Upwq/9KUvVTp1V86VAob9kUceSRlWxfe8pI859thjr7zySu+EMgvGf6eddlIfrea5rGxLiUmZpQxfdtllhoqOe//731/GO4FZcTQNZWQKGwaHHnoo/j3faj6ebjnYEHof+chHMOmAOuecc3L6MgAoz5S3x2abbeZdUd4qw7RxVAt0AB/72MfSC628G+F5i8Cmm27a+sKcSIU32WQTSuWJiAohgUAgEAgEAoFAIAABx+fOHg7zYXE9e60LyYFAIBAIBAJzhcAuu+xy4oknzl7pD5w90SF5DhFgU4xtVwHmsUNVY+WVV/6Lv/gLnOOXv/zlN7zhDWVezLvh+KAHPchf5OkjH/lIVtLoXczFN7/5TTS9kSp7ysIaPR1ugxdDfeLrkzF4ZTZeys9hVsBbbbUVDhQPiIFFwYvB6irF+a4YPRwfUhXR5lhhRtM4NXoCRCebYqw09rmyc8+SBbBvT33qU8uYMkwC/pqVfXbCg/nla14rWCi/5S1vYaqMtvunf/on+KDgKQ+Y2SKawVLKaYYx4ClSRlmAk8jl0tI50biSrb766qh8htVIUomRjypAB8DueBB9nHpHjzB1V/luX4drrbVWInCvvvpq5sy2NWCElcsWO1VyqFaDFOEONx3RxEF7SSNWAtx6tsRPBfkrAbadmqRk20fG/Nxzz8W2E8ug3hDyywV1B9iV8x5OnUODYo+FTRW2ZWBpL730UkNO7x9wwAHdEtDE8uKvtXHLLbdERntG6BsoeAyVHXfcseKmS2kgotbS16hA3WGfAUxuvfVWwDI/98Q5yniE7bQ6d4cddqD6YtytSjh9sGDDbRyxdHnPe97jyZrg4b2XXHIJmZ4+u2ow+Foh7PG3JwYCTOx1K0VF2fDuMD1K0nJ59umT7IbJigcgv/GNb0S466Ndd901bSBoStOtHgqGUcG2N8GJmEAgEAgEAoFAIBAIBOY/AnNuyjb/IYoaBgKBQCAQCIyAAAv3INxHwG2pZ/n2t78NAizqCDQTLxZ8p/CqUYKI9mKdisnFl5Uc8eMf/3h861FHHYWXxFcyE+abQkb2iSk7mgzjtu6666IRS4GDwozWWRNzDsOqNzs6xxKqFQ6aYxacJuqWhbs0SQgSXzXoABBwFAAYT1znIPkdDnbYladqKyJpCwhB4CK78ZUYf1bkucRll1127bXXxqKy0mWTfuCBBw4qMcW/6r6f8CGHHIJXxXIiWMssbNthi6B897vfjRDPt/QgnhSxiKx0Ci69RXk3JaNc2XvvvWkm3vnOd7o7iHzMMu0tSGFY4WTNYjGb+a7AUK02KlCr6GnUuVaWcoS/8IUv+KuPOCFBPTc1QDfeeKMERlHOOFTpOZcAYhfbjpbVg8zJy1vdYZoAY3iDDTYAYNbWGHWGgY52i4U4wtow65Bz0kknwdNDZ29BUi9JTAiHKjrFUNGzg7oGn25ss+bOmh55ocoQnmLpZz/72VlnneUB7Ci99Rb6G9uuMoh77H9Koy/oITyS6sNQXdtb8w4b6TFPGgWPQ+nOCAIUGBpiq43BgOvv1gaV5crlJ8ZX0JtExvJIVV2saRQSHPjQUZUZcxgdL6yxOSYCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAjMKgL3n1XpIXyuEEB+KRphN0IFEquI4yvzokrZ6nIWUbLtKQGCkuOa5zznORjV008/vcw1Qhizz3Ez/jqz7UkID+aJDce2M57NbHsuAp+YmGgeaXJk/wAzWNbxvG+z689OeLQIx03IYYcdltn2LBMLnwDBxjKNz/EjBJCeipCRrW6TTxfPst7htwL0EChygfKH4cW2c8my3nrrDaJ0y/Td4RFanXh2dHNT8pe+9KUHPvCBvJe4xVdJlYAJf0W4j1B6lkkNwwIabT0U2y4750XGT8m2Z5kGA1ZXPVtbl5Pxus6TjEt+TjLbnu/yo2Ko6DhqiRxZBlhwc8pUsu3prjHGRF0Yp1ym7xNGtaObga/ozLbnjOKV6LG95pprcuQ4ATohnlvovUq2PQukt0iDpI9Dp5yrO2Dz8vrrry9N8lLVTOxNojjgN/VAzcQREwgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoHARBAIwn0iMM47IcmfDLcYI9Qs5Wqyutw9D3IIg3PHFCuLi5LxDWaxxqWj59yE7ApmnXXWyZFlIJ2/6nzIMrJnmOE563h29AzJc5YPf/jDFAD8UTT5/ZQGj8kHt/Dll1+ec40QgBs3NXyGMGcelJ2+gWGyfsHvV2l41GGt3G1/XWXpuByh1ck+nf1y5SicHsJxl8zn7W8wSJK1e1k0s2UJjKts9TxC6UkglQljZ87Qm15ryhIHhW04yLbtVRo7DMQ4zrSKLy/t8NB2XLMhVMbnMFfsHfthkw14TlwGUumeaPRxGT9jWJWkYdzdPPQ15dVeSqYZ5fRMkHRO2XVSM9djH/tYken40+bd0WK416c5oNSxP6Ap4dprr9UplFXUUc27ERMIBAKBQCAQCAQCgUAgMM8RMNOb5zWM6gUCgUAgEAgsUAQ6KJqJtCgI94nAOO+EJK/ZgwjE7upWpuU5cavhar7Lspg7dSc0Jm82OX6EwCDzZJRlktY0Nk/x6fDSERh//jo+8YlPcCP+vve9r7QQR+SR3O2Pgh95aUYzq0/V9pcPH3+5NBkEvrt6U4KcWCD/eD9nWZwvxwyM0GquV7hSsT8AgV6Wnhh2/nNsjMBEMySvTtxN5u2GVh6rI5SeS4SPEwjyZf+AqXwHgMkvkx0eHQK503HX3ouONB13B2l0SGPknjzjd1egWW6qUuuGiZyYLuQJT3hCvhwnQFNlE0D2VtQUlTbNVMfJNpMNFUNVw3odq05l1czopAeRFHjNWxETCAQCgUAgEAgEAoFAIDD/EZiURdH8b2nUMBAIBAKBQGCRIRCE+yLr0P/bnGSlnuzch20hU2tZKut4jOQgO9ksP/k9v/3223PMaIFkCTsoL0q6qtuglD3jsYS8b3NZwwM1f9NlLjbvLvNJsOWtHOY/hP0sVyEJtxw/VIBHEekHaRqyKLb2wlyF8HSfIwWSEXQZM054hFZz7pH0MZXfleRDJrHJ6W/lVSZ5SikduI9Qem7syDjQFhgAWU4VSPbR//Ef/1HF50vdkezfB6mCUkobFAZZ33evJZoVYCduJ0fz50DUVJYE/EpRY3RXSeJBJvlJTv+/mkatUuqrUl4Mu6NZeT1yfml/af1TOrlBYgcLV7srHBx9xx132DWSz2PoLzNSBgKBQCAQCAQCgUAgEAgEAhUCFteO7/rsZz9rS67ztxxNxN6oShOXgUAgEAgEAoFAQiC2aC3OkZDsfJ0COkLzkueKylKYme2MG/pYuCuOD+4RCi2zdPt/aDJ6Zd5hw84v3XfffVF1Bx988DOf+cwy++9+9zteSsTsscceZXwznKhY863RNAEKSlb5Td/fVVnJGJmXG8bOZVls86uUI1+O3GqkOR8mCHeng6bSVdKUlPqE/24xCHc+1hHu2W2OkcYPCZY2axpGLj2VODIOg3jwnjCafCe2F3HfkYVagkaHt/dmmmErwN28wwyacrDPzhwW/+tf/9pfg6T7aZImPbZNUaPFwMF5y3wc+Ws3A5VAqglpwElnS4wmeVAug8eDw5sQd+1JI5VSJt/0Yd4+CLeIDwQCgSYCPk/eJ0cccUTzVv8YG24c/X3AAQdkV2n980bKDgROOeUU9BYLicl+tjpKzLd8yKixl19++RRDkWz2SFOeNlbmZBMJ+IxSIV9//fVcpa2wwgpOW5mI2PkgxDx52223XXXVVZMXylmtkinoW9/61lVWWWXPPfec1YIGCecB8oorrtDYJz/5yYPSzBhvY6itomY4Zv7J++KLXvQik8kZM0aCiSNgpXbxxRc7r8j0O+0jL4tg27H66qvzMlquzsoE0wzbrl368HzLW97ifLKpVWBuSx+nmRat9rtbmVrWYRusTzEAzeO1xilizLyf/OQnTz311CyERaCZRr6MQCDQigD7M6ct5lsovg9+8IP5MgJTQCAI9ymAPAdFJO4YtYf+HuR4fVC1krV1ZRjbYf+b5STScASPLlnClAM+qE4i5QZnq622eu1rX1uVnhvS7bxbLnNfH2ZkcSWh52UuaEZuVCnUHvh9Wcop3TLLLNOzrBmT5coM22rOu1XJNAWNno7o5NLElDQZtiuXC36+WcxTFZGGSjKHf8UrXpF1OSOXnto1QRxmBKpMkNh2MR0egVL6SamLGG63jrfk/UZZCckZR5SUw3L9qSGtf9FMDhlGsrvroaBr4ezIUtOPHf11112XjiBuzTtypIIcnXrcccc5OjUT7vYcmDQz8F977bVHlhwZA4FAYF4hgHJyurjVbzpBfTbqZjvO+GQWchYba2oxGzVcIjJxCgjupD/OTTa7AKxhkGOmFrjwwgv5KEtuyhRqKx7/aRdddFFlqDGR+tAo8HOIzce29/mIT6TQ6QgxfdWD0yGwUlnJ4GM6ratKufXWW81MGIKYAlW3+lyaPx9//PHGmAB+xDzZE2G2qUVeg8ZGHyGRZlIIMGY/+uijO+zYcLV+dnNSJtH0ZD+Zk6pAlmPyz6glXxoYTZeYd955Z1rLp2StpxxlCRMPzG3pozUHqnvvvXd+w2chNCjTeV/lErsDXgJlz7KG7E4/1N0+Q2sogZF4niBgOloOm+yieZ5UbylUIwj3xdnL6HIU+b/9278xKHauYP9G3nXXXYkvq/yo9Fk6pjSt5532r8DUUprCUvfxK40R3mmnnZrlJsfZ4pkJzCqTmxFjDkOd3qxJjtGhyZq+2n+QE4wfGLnVuGaGPChXbtmTl4/kPYYD91wr4csuu+zmm29++ctfLjL5k+GDOycYufQsYU4Cude4FerummzuPWY9Z7RoSGZ3/R/bYetjKFZZWHRaW4r0QDGlcahDhiWlRLhXWSZ16RV34okncllDhZZmn8YYaoaLoaT7mVRBIScQCATmEAGfv49+9KPeorNHuM9h66LoEgH6eHukKsK9TDDlMBPjcg9i2qk2qRNQqrZcfvnldOeMo2d15lkVGpcTR0A/jiPz3e9+t40O5tUOt2djQRSbfaPi5JNPftvb3nbOOefk/RbjlBJ5Z0SAAcehhx563nnnzZhSArNQ6hCEOCvvPpZqfWRWaaxbWaznSEYz1elZ+VYE+iPgKZu9RUr/asxtyhhac4t/lL6IEQgf7ouzcxnSJp/aw074eAWBCGfT1UzOHCK7hx4EGbLerW6vGoPyTj/+2GOPZYLNVMTm8VZLBJMYPxXrsGiYSLXNyRJLy7auWyC31BIwJJ+laRzh47TabkoSsht3x5+qZ3YX41aydk9EPHc9WFHF2fDrVvqNU/r/yJiD/wxM0sEDDPw7irc1eMaHqCP7ULfSY+ix9evOmB7b7jTNu4wsykjtQnmLsdLgOMjLp2Lb3Uq6ojLXpMLp6FR7/D/2sY8lmSkQ/mQmhXDICQQCgUBgKSOAYS/pdcSEaVu2lpggMral0txzTxFs+wRRnbIozPh73vOePBkeoXTTY2z7S17yEkuVxLYTYlrFdJqdNUNUf0cQG1lGQAAV25Ntz8IZSts5PXuT3lxQBCaCgM0owbZPBMkQEggEAq0IhIV7KyyLIZIrUk4VbHDjCDKR7zO2yorCpjnJSuV5zkVjXxoj5/gUwHYpS/g5z3lOdWseXprI2qdp8uqg1I4lkz2bXKD4EpcLrao5Jr7JwyYLiETQVwn6XPL0qpsw0d0uXxNVzYFjH5kjpxm51Rx6MKzmSpv5sx2FHHYzaS91A8h3l8mx4Fe+8hXJXvOa15QJ1Hnk0kdu70Qy6jhbQxhZN7d2Zvlc7+XwbAcYehu0SAEDuOPxt8/D8K4qk/zeeKKr+PKyMqj52te+ZmnxjGc8o8OFC31DKWGy4Q022IBjTV5lNt54Y7ocHeHpZho22VJCWiAQCAQCgcASRMDHdI011sgNN1suDd5z/PiBdHRQsO3jIzl9CVYW1157ramv/RBjkq02g6o/qrdpD2Riw4UjRp6hw8Me9rDpN3NJlcjTsW1VVZMtWzjDtNqldbPj6vbbb7/hhhssBstkN9100zHHHOO8pTJyamH7jJ/3vOfl4mw5zeEpBOa29BEa6PzbMheHGzYo8IPKfVk43yiRiXAgEAiMhkAQ7qPhtgBy8SqDzURCseA2LZjxm4FfQxyb6/NWttZaazVbiIvvINzNNljlsKudDY+WzcqME8OPFTtcs9ijjjoqW460CsQX4yuxeOuuu25rApGO8PLT6pHZdkJ4kEe4X3nllVtuuWV2q1KVyCu3zaQiO3qhyjLa5cittkSUF62Mc3dAh9JdlnXgjRTnjnC3VTz5k3HUapkgZZkO5lW5Y16us846TFoc1MmvK9erTWmejmFtZJpChorht4fbWaO3g3A36pqnHKclnI0d3gmtTud5ayk9SKqV1vnb4b/F6E3qoqGa0D9xOjrVqLPyYbNv5fPmN785OIv+AEbKxYeA59TbmLNp5pZ4AUvuV7/61fk7hRLysHjYW3WE6EVKtXzXw8tpWErpPGSkEsKRN2FaPa+XQXpiTz3VF2LIS4Yu1ldyzTXXHPSWUFvTFVWyKYcWXGLzkLxhTqGUuMl5Nz6LMYH+8qZ1SkTuuO725mQpQEdo0vLzn//c/iTTAG6puicDVfZ0iWpRZ6YG6qyqCeHWd2ZKP1QN7ZcytfA2A6NNPLz8mdHl7iNQz7orMlFyPruyPO1pT8tHWfTHXwcZKsDXIoA4klRf+4I0yT4tlfLb3/62LF6wyy23nG5qdZPdv/QSWxClj4uC6INTRxs8+TCYnNjb3gfXQBWTxmFJMOVkAkYvT3e8GBvDvGlDbFifvGDh8a9k2JXbYYdRlp7DeYR7HmnETcs9j85RzwlShypLjJGZ2u5BmHFk9oF6tEdYTfI4tDqwjvCpNQWt7CRyE1JNPFwOR/Ug2CyrjYPQJtCs6Rvf+IYmJ0Ao7GnKs7QUMA/xqHqNJD/Uj3vc43CdeZBXiTsuEaCmnRT/Ku8xoT4pe/C2227zTjPsB1HYbESMSc3pKMJrlmQ/7uwkM0Tl6kjfcQss3Aqh/FrTJMMURh6DatuaKyKHRUAPWidWuezlPfzww/O3Kd01hhld0biUiU8//XTfxxHGailktLBnxG+0vOPnmtvSR6i/922Zy5K/+cUpE0Q4EAgEAoGhEAiXMkPBtcASc39p4cT5w7bbblu5gKhaYh271157WeeYiSLomytGMebr6LkqY7pEb/EjIbzhhhtarZVp0oKt21q2TD/bYTTiO97xDrYnLEdKZyat5froAoQJMH6hNYHVxRlnnOEWA9vWBD0j8c7WcpYoLO4HZXEL0WAB0ySpB2UZLX6cVqe6WdwaLUpvTlkSBY9z90sEfVXJcUqvRE3z0joN62QBaXQl9rks3fOVzgfPh5qWd2cpjHHGL9jUbJ3ZWgQGwW5lI7y6iz3RNeo8KCPvMfmc2JTXOlPAyhxFUklLlwpqwtKasjWyz2vE0anyUjCkU48MpFZRERkILAUEKMi5VPLceSp9p1BgFOrszvBKqfk4XGcz7rDDDl7FFSDS77zzzu9617v4rk23yJHYO8HpETaR+CAyrjSpuOSSSyiJvfRkqYRQbCtOeq7b3HUKtzMeVMkTWqV0ecEFF3hg2ZThHL1FUdgSI8FzYjaG6pM2k2mRsF/SQCdpM7Y3F4ru1DpOkGXBkviq8qT3+te/3hymeq3lLK0BVLs6cxwBUnXW3v3228/xFYNcw/Wvob1fBx544EYbbcRNMxJQhX1SDz74YMJz96kScIBgcoV2l3i77bbTTXnHUn/8YYvofO9732sGqCHmIWgjE6RtttmmOgXEpnspTRER7lLqUycEmvwwAq0g6l96lZGa576+fRcGRNNSWN3KZLrJdMhsUxcAB+1o/HDggPAqkwlri/GpuzkZw5aivKm9YXXkkUfmsV1lKS9NFPWFHxMB8U6/TJf+Itz5kUuXfUTlEU51BDr9iMgzwkuvj6lDU2P1RWp78/EsayjcE+oRHmGty+NQdxgMCOt9993XpxYdXFXDpSfdA+6R507QI09DZgBD24BpQmTwGM9AwGlKLIuw7N4ApWRP05ve9CaHGSpaBfQ1xLbffvs99tjD66hM2RGmHDIMdtxxR2AS4nnhBl0rjN6ciwIS4GV35FsC1jhvf/vbPcJlZDNMR6Vi+TfyXN0I93ZtNd1IheoagWq11axPxIyJgK9etXplW+M854ptV4o5sJeSAzarEtPJRlVk66Xx7CnzS53bmma2Iw28tD+jow5m8s49lmy2KzOjfMsN1fBy9m6fMXF3Au/kMkGzf8u7OawCnlNo+Dto7ZMTdwc0hJwO2Luzd9wFjq+VF6mXp/dYR8qRbxk2JoQ6Ag7NV31/saqahtawQuCmdSrgVd+/uFlNORHYzUC8EHSfz1b/2spFOe2LNhvDqX81ImWFwP/iRqt7cbnQEWAqghozy/QasijaZZddzO8rq08vSjNd3gDNQRkgm5SjdJsNt9JgZWOqbTFQsagWPGbDloUyNn3RJHMVc+hWq/lmQbMa45tqGWkNZs7E5c6MZaEknKcKE2td4FSWwhput6CGs2cB7IzSOhIgRllMWBKY7jPuU2g5k/b2POWUU+wwRTvqgqY6pEPyCLfGaTU+HYHLqtGczHhIns3LOhg8GAqLT9MLG2Ob5vzjlF4WNOXw/e53P9smuNe0erQ+tCC09GK85jPJxMnqzjTCevKss86aVc8qZaupcLbeemsmNh7PE044obJCRT3QsekmvPz5559fZjTAmLAxrzPy057Z8q4lNIJGSwVyvA3OXiy0WV44u+66KzTyLQ+dfbVWqs45ZHE/WvPTawRVkcU2A8gvpWPblcju0hafZpqICQSWAgIOr3bgHutIL6VsXopswoVh2L1+fc19aLyR7MgRiTcvDc/RkSbr3h48CJdw+UjhAdEN2WTP+w1PjbD2YfWRyg8+Nk1Bvmue/cw6mYcwAjjkkEOYaZfeObyj5PXAuuXJTSXSEKiYGEa1PivIXwSrR9tfhuRuSaYJKXGf9qaU2BMzInSnNxhDhGQw7gvrveHDlI5cTim7/zI+8PVnIevd7iWZElvygQjxnZR/pYT+NbTURO3hLk0qoJp0mSKR4IhLladmKOkAb13gaJf5A8ffZiPK7Y+//WRIVUpWQ4XZbKoznM30bLk7/vjjTTlSpCNkMJKa7M2fu4lRPDWD7wsJeYLUv/QSohSmuk5WolhLS00jU3w15/nQhz7E9h/y2WYCt7vbbrupsH0AZndJFBpXF/vyGoq6O019ffJMd41YU9/ctGY1UgxC9rTTTst3q6N6jVs/dz0vNinmZM2AZM0RDjoTSwPGqjhJNm0Q8GmmDfIJ1iKi0gBoykwxw0Ld/xEux6G+SJbUIs3uCFFV74FyUmGeY4nhhCFjxjQvvQpMjz3C5q72KKTmpGrrGloQZuD+pgZ6Bs8++2x9yjSB4iGp2CEjASoHa5kdxMEH4B5ABZnDDEKmjPdAKdE8J2+I8ajS3qFTJfP4+Mts2ZhXtPdefo9lIcabh2LMeX6WNmPA4PRMmQwPSkmvZqZtu8agBBE/PgJGbz4WKEljwWbspcHZKt8Hzqs7nbaVEnguaKfyk2ImbCzlvD4WK620EmWSpYGVuOcr3RJpsFmllgt2bwxTXAnYymQJAh4T34UU42PkdSdMCeobmpPRKNvZky6pby+++OJ8yyfVw+U74nHwnUIUplv21ljRu5suPUHeh17Inp0U48n1zldc/hxkmR2le6JzM3P6QQGHyfkIVne11yfACkUDM82dKkPhAboqfcclHUnqrKyoTom9BygyhfV1wrwUAgo+afWj6VDWx1iz22LlNbLJJpt43ZXpU7i167XFe8+ULKHqTQufZt5hY8BiSmMHmHYhwcvsxjC3tFSb+Xvt7lBDq5RGB69dSZGZ4r2XvNhNgVo5H6p6n8IswWcON2U8+0Sa2OTloamdj7uvzKBda0kC0MxG7H/yHcwyvTZNUC3Dyx0ePiImKt6rOZmxbbKRL3NAt2pRvkRi9D+5fVjYUylmnubbuUR2J+al3gYeIm+GPMLN5z3FZjJN2iTnVXljialcHpZ2pHmNTO3LlWsSgSYCQbg3MVlUMT6E3kemsF5zFlQYNG8xWzK9kvDFZq6ezPQ6ZkxhGm3BNqj9lrhWdNg07zJvara6PhUoMKsjFLZLC+9qXUSU1yUbWx8nayesvTeFSfmgImY73lwhmc9Yg3ltdRRnQZuOJPKq8irEg/sQYh98HhATZt7ssNCOtKkpZbPhHcJbb1kJ4CZwo/rLWsKiEWFt3q+q5nyoCp8x72XMZmv2yUaO3GrfCQPM9099Kn8yqYa+XtqlUS4zEZNu5b8jl54lzEnAY3Xuuef6qJteY7vUQfelD7zh4ekz3zWrTvHTqSG6wXNn/LD+MxHUI2alHnzTRDaqDGrUKm3TrupjzmdSTglnMuQbzzm7njUZkssEDh1gxmag5lyW2VYOlogiLTBw39BAxiG2TPuYkSKnTG4Q7u6airF6Q/Tn7DMG0qzLw+uxVRk1Nwuv9p5rmseTzSNpKjCjzEgQCCxKBHyOMekeSVxhSdl4/C11rEhRBsgybUeweo586Tyetmrhx0V6YH3aEJdp3Z4hwml6IWAqLdhypIUlEtb6UxZ0ZyaaMYkiVaA8cQQnK4aBvApYkiW63CtCZayrrbjKhQRWHctm7YpWSy8uD3iyz6L8Lp179G+vaiPdlAiEkv6zVPbG8GXfc88980Ilt7EZ8GZjTK3tmlOi4eumtrgPdECZa6gaWi8lS2EYZiGW/cyBzbiS1lZ/5VvogFRu6VyiP/7pNY5qLJ1XQFi3WkV74Qsk/tHq3doPSV3SK4aQbvKN8G7PC/j+pedW5IAPTercxDSVHZ3TYENMKQ2nHIN5VE8j1iDMhLveMdPwEfTLKT0Xvnq+IFhgDo661/MwTzonJSaGN8nxLKBrjYHk7KW1krnEQSMcdB46QxGAJtXwN8L9krGF0dUtNskfCuqhHuFB45BPFePNh9hIAEvqJk8EVkLNPcUmeLntlhVpL4Lnzrwu+8+xKLBVIqnNUmJ5zSuwDKZPlEBoAvG8JJmf6L7Mtov0nJoJ41PQIiYqBkwurjVgyuFV45HU9TmBJliw4FwMEhNRY0lDsBJajcVLpefEAt6KesQEo4ycvbDnPTmlaS2Cv2ksoYeuZGNbU0bkOAiYTFbUsHe7YdAh01Tfl6XiTL1FM+FuyYwpzhJ0onV3WhfkSAFsr5+Xqgcqv29ZKZV5c3qVzPG+ESneRD1HislaYWFL2vKWl483vGpTRmaZAubbXqo+RngDrw6PZ1q45TQm9p5B6wtvsFKDLkFH6YquUM0Cm4GmwbJXhGVyJv1zllQZ9aEh8GbuuST3cvCSyUJywC46P5dN5QqK2SqvYrGlpDLk9srPK0UFmnRzs+uxwLR9lmO53IkEsBNUjIN22nmjUqv4mVaZPCQjg6GGVqqkpaVSvKurOhuBXlB+yAry0T5lAqRTOfZMn8Bi8ciIu0yGgocz+hiSlZ47JyPcz6c8x6SAMeOJ8zP5NLFJn1GzI0X4FufERkgr4e5TZfGbkzF/zOHuwAiwJ4GGdFkxXzcfzXL3VUpGqYAjMg3zkSon9ukuVsojDLSqkmlMekgpkqtbcTllBIJwnzLgc1AcKtwuWm8fSxRPNfuUqhLWDNYVVrbdnyjvTc+5L6vXpa9UFuKDZIVj3d58BUjj44frt1bxc6msOSTcUQCp2tS5uf6tgez6w0TEx9VkxZvda9Evp0dPMGuym35G//g5S3fAokIfUW/SgiTTm5we/YELYHGQY2Y1ME6rrV46CHfVZv1k3mZ9VS6iyuaMU3opZ/phqzjWCr5w1pOmO0xFPBTW1WjrNEjSCJxxiTipmhuiqH8WH4g2X+LyY8yelA7JuKIkaBaHLve9xykw2C/dBWig5YGpZGk7k7Lj9LWLhZppul+W6VEy6UmeTxksUHqh7fKTmJN1B6ijzMlU9b5lyH8bnlj5VIS7SDhbI2m1xXy3wLgbCCxWBKw5EdPMlptfZMoqii5fGW+ntIz33fe+8sb2ikATWJMwo8b64cQT/55RsgTy/Jb8cr7lTeK5Mz1IhLvFtrWHt0TJtqfEmC+J/SwAkukcroFWEltXsu0pMdt8KyLfXEs7b6RcXBXo3158Md7NCjPbA5ailGVbkplSGdkaxr5ZKlveNNHwXUNEmlCVGfvXEN3vLWdxiFMoJaQweE0MGD2VhLtXMdOwkm0fCn/ee2Bbsu2pLLNBWhDg+4olpjLRMWVBKaVJnaU7viNdDlV6yjLsX8Royban7LrPR9bqPV36xLCTYI/fus4ErzHPzLObcDfp9SOQKM3M9ijoCZEmMH22RKQRbhrZHOGAZQ3juTNt8GFNNe//d1io+z/CeRy2mpCbPGDPqWo8xWmoY94xUOb2JdueGuKR913GbtPfMKtMkR751oWApQTCXScmynvQkGN94vViJYI8ao6ECkCt9kiWbHtKYLqCMAK+dwJiUSQXWF5idDYV4Y4kwsrhRimiKuHTv7SIMzHTnNaX2PTrs4hLrHwq+iD2seRg2mJqyq4lI1Oul3NkCnjbV6WUCRha0U9Tcs/qVgaTanpchF1ZdA6zqPMhMG+vKNGcAMFq+Y8HbD77Oc2kAmhiC2HUdofAZINPlzkb6ij9hQIuDaWbNUH4eqv4xJgvNe/mGFoHJozAzzETCSA3zKz6uI7xQvYS1qIRyvWKtjkyfQcHZcfFe/N7u3ZM3nw1qBya6pMkE840ylapFfUhHrylR8HWOnhpq4DpbprelA4VpUeFGbo+JWVes53qeazmcmXiMjxB2C2im2x7Lgvy5vb4qBwjYGYLxpKeKu8Km5/7VlaRcTllBIJwnzLgc1YcWx4/XwLvd/ZWlovmwexNbEC2kOhZLQt4HxuTVBP99Iq0GrGobq7BskCTWgwy+xdPuw9Mtg6wdCEkJ0uBZkyZwEuzOwH626/MUpXi+9f9CSzzlmHTLCsBM112JRaW3tGYR0u1JqNR5moNmyv7td4SiQTxtjW/t4r2MfMaZc6DMC0PdyrzdryXy2SDwswSB90SP1qrAeXXIdb48etIkG4NVXr3wOgoixnRjHnZUvmVQpDLfmVMGbZaqxZs6a5ZgkdPuFz7UaeXeVvDTSVZa7LWSNoLlcfUaCY9h2WAPRmeetRba/ocKYGpEuocd2bd6xn3omCzkCw+2J82cbM2sCg1dJnDsDvwdFgMG73qkMQizf1yEdXjmeJb7U3c8uSiTrx2TJLMpHGCWU4OJGMH7E+2pMu3IhAILBEErKNQA3n/eNVqn0grEFPzbDfH54MdJ2hBjyrjLB9rGjLfnSqjy0EGnl4OHjqvKZtgKNhUQGLzjaYEMVJiHlXAstAD67QPr6NMZVZZ6AtNWrq/s/3by0TIV7WDOMPk9iHc08JmUAORI5qDyM5t6V9D0zPtpQVpkrOkee95J1fMiNd79TLsjz+ZiJJKs5Kq7WuV9ndnk//krIbJBXbG7DG3TsDepnw5VOk511CBQap6szKwo2OoPfC2RrL1divtgpr3jba01sz8eeqoA5vQ0qE27gmn1odtzyPcw9Uq3wwEH0FDb3rctKZszZIjR4C65yOcx2GesedCU4DeDuHOjCbxEQIqj9GokqVLrxdmFuVTjLIv3SLlXHpQOFvapiFnjgSlyt7/vrl8F5+VZWLJcaD5sgzYjunZSQcOiffkmuF4j5kmlep87wTjpA/ZWgqfjTCbCWwLqD1xrQDORqFLVmZFhlIA93nkvXC8//Oggp6Vo/dA64sos3t0t3htakJvsDSPTbBjJCm9kMg63cIhbXGWrDQa8wZDSqb0hAzbX7RlKYvVukrmpy/LYVebw6bWno6yhm75JNmmZtqQk81GwCsdFCXb7iH1JlGWpY1Vcy6UhTLaIWnRcmRrwDLHKtstJghYkZzGOzlp08uPo/dtk23HBZssmVeUPUIONCx/KsP/LF/Aa60aYOXdkcMUEiXbbsTaRMViyYzCV8yeCYxtFg4o481wHWpoAcp2h5Jtp57XEbrDl9HqL8tnKsEpAo1RCWO+K2D6kS4Nbx8IA4l+tEygd0xNyxHoLm1KxbYbt76wStGPZcU8PpQf9DQSUPeyI8lDF0psF6p5MsP8coB5rHqqkUaDvWxpDtvUksI+vnoNaVDtCGHwoSvLD6KnL01KsxAB7ytj2HORDODKGWmZLMJTQ+CBUyspCpoPCHij5W2/I9eHkEHOQAbJ9OLIy/tBaeZ5vO+Bz5LfFOrp+81+ZwoFzVjENFvdrMzclt6sT0eMSYZ5DLJp0LpaXnSPb7ypiXVdh6jZuGUigiL3G0q4eTzzfL/+uUzZLa39+mfpnxJ03dpB8yrS5sPCuH+jImUgMFkE7EqhoM3eMCvhae5eOpm1JEOh0iAy2cYrUWtVrtuTBG+DDmNSyy1ElVecd6AKyGL15bIqPV2iilIFrI7wuR1WxiYbfq1CcmT/9qZCK2upLEcgu3guI5thcvB0yfa5eTfJKZc3/WuYlkYdgDSNxZpv9f74q2pJLGJSbD8ycqyTEUbsK8vWoVZZNFvXUUtQ2yArTYeaxhZDlV7K7x9OtGwzfWKHLdER7qka+mjQIFRza3uNHSStlG99q705plru5vhmYMYRLotVPdMHVEX3160pfFio+z/CM45Dj7lf5m6k93IoLQnK2poVVFsoBmGeezBlR7jTJ3H+g8q36DCv4Jqj+QiUZTXDhJg5NOPFmGF6GxjSGEyVFKMghpkYjbT/JuVyid3IXkFaRQ0biVrCola5PIzZK1d1i/YIh8j6HuwCHS+xKmNcjoaAD2Wyj8nZk/onX3YEsN4l4U4UO61B3wuD064y/e7xJJONrf1emYgUkwYkMyYj0LMghreTUt1LpZTiO6rUfQsdiUpWB29ORi223ZT1T3lpKHmf8yBojrv2dmMzs9i0hT1fdgS860wzmgkoHZuUfaYa0KDstLL2V3YOxBhop00nBEKALirTqThZH6wZ7YoYUKea2C9SujrhbAqnXFZS0TaWlTUnnAe5rOGwBmTpX3LodjXZM5deLKWoFM66FtprH3GTIpUfZFrXzN4awztNfidLoDcx7EknkdLb+4sCKnUqiXAfamjxyWaGkCugjQZG1v/ZMQmHbLTOMEsd4JnTNwO2PEpgIgpeOgDdaiqSk6Ud8/lS0RX/bpAYOcnswNffxjUjIaf3lUw7sXzxpSwtKrzYK8L9k5/8ZM4oMEiFXKYRHhn2Sk6+NLTseEvzQK8Oz2Y62CYnoCqgR0mX9B+VwbuJBI1sns2ahNA6JBdJWUIEpo9AEO7TxzxKDAQCgcWGgFU9ewpGcL6LVnGtzUuGJExUBi3/WnNFZE8EaPKZJ5h1zRLd37MakSwQmEMELAtROdZ+iKqOapTGXJLxmcb8h9GQx6fcg1JKwIVZv5UxZTitdtJCLi2Wuk9JSavQVI3kbquU1j88VHtxGSSnqrYWgfDqaGPOQk5eXubIMlAWMVQNE4BDAdKkvPvjn+qM0MHv8HuQlDS+XzhNQ4LyuKQPdBmjZtsjfMgY2vvJjn+xZYEheVbGDFt6iVvP8CBzuTJ7qkaTwSnTCBuBg8hflEFikazhLXqpHxAHKTtby8RluGRH1tR55FL6jPA0lkoSJGfvDgwLdf9HuM84VO3EyxvhLAm6n4iqIX16MGXhDYazIJ5ebIpPbAgbW9tqva/4nq7Etl6WD2MzQX5xpTcSRsYDhdfOhDu2AmWDsGjmHScGxW+zSCUBmd5KuPOjbR+SXcIMZgGCmaoyxuXEEfAIlOwq+f1hb2qeOgh3tGzJ6ymFB2evYq/l3CjW0N37hnPK0QJGVz5UyfuQRgeLmslrMn0Z7X5L3xofCHNsPj38cnGUEz6LfSBq1RXZBFCRhiTzW5VZb48kNWcujr6h9HZFV6H+6pCOXkvJ7P+umNmcfYQAPUEmkWUHBVe95ZeaHZXvo800WU9jsxryt2MzNDnuUl0MIuWHracPU5mFKrdk291SbV/2tDUqpawsysvsrWFzy7wlQgJrXm7ukqI0paeYwfaWQ5qJuq4ctC7mCyW/XfWjgadnS8YcjIzW8/dFt5ZG6L6/Rk72DOPLoiwv7dJVDmI97cRSq5JwZyNSepUxc0Zk51bTQvX0TTpZ2Fm1q3xury8Ugxg7v9P0LFWvVKvwd6cVudqgkL20f2ftymedkVlufcjpIzA1BAYun6ZWgygoEAgEAoGFjgCbUHYKd999N4/nJhDN5vheJoMm26ubdyNmfATMuszD+IsIfcb4YIaEBYpAYrLY4nWf9VSRUBZR1iSajBewtm9dIqLVOjBJS6DEVltZ+WENOtIna770qJbLp44srbeGam+qXkdDMCzY1daCykhyuutc3h2hhmX2stzWcEKyvNUff7kwFDh0C2ZcHuLYyLFUS/1il3QpVlg8z61+vnQWmeh4po6yJ+vCRAkNVXolf4KXqkEao8isCWgVXjqKqRJY5LOME5mWqXTqmfGxDwDVku6y9+wg3BOS3YMqDchMGVTV6LgcFuqOka+UNOrSM5L+zljtVGcj3CDsFt7RihlvcYPj59VkyDkRikE60sQPxdbHa0R3K8pWqwmSxQYO70CMRjKPpYvSuonTnajJplVyGi0lIKqHl6fpse1VYJAzpTJLhCeCQMlhJYHN3hlUUDNlSV6XudBqzTMhPVBshPGGOSXy3RaHktbMt8YPUA/QmJZyDDaeNEpSzwOIqy3TUIOVl8L0f30I9yqXS5t7TDkqNhA/mM3PpaksfFvNAiDpGckvIio6z376/jYLHTamsn1mkV2y7UkaJDWkJP3VoXU2ldKD3W6GYWvSkR4CZVd6m1WJjUOTvTKy0iqVt1rD3oc+efkWO+vmsGSabfdb3uSnf723B23+zpbaWab9cyXhLt7LPxPQ3vw5pQCXNc1Pp2Vg+jqnlHkrhvenXsuXnin7KtIBY1IK49yzcPE9x/NkYTcTy41NldGPHsCs7xeZFPnprmrnOgtQFZdse7rFt4x4tHuZMsJTRiAI9ykDHsUFAoHAIkSAUtraj60KbT+n5z7ALAuS2YLFOeMI1hAmf2YSsWSaYPczOXGQvfWwRTgrMPPd7q2LEyw6RAUC8xABHJynwIqIoVDP6mEWmBT5a6H4nve8xyEi1kt+VXYJLHsqpj6nSScypSUoJzAqYH2lJjlBayCtK6zHWu+KtCJiL8amtbmoS1mGai85cnUcHuVWn/UnORjnjsV8aYs0VA0zIIM4XNZeTNIYISZKtBW3/vjbCo0uZ3Ko0ys+heQOphJP7ZdYSGbglse87duWLrJ/6a2Vn1Rk8kSkPv0fhKpoAxg4ItnB0T1YrCb3OwgdttWM8jCzVZbmZe7Q5q0ck8Y/kivH9AwMC3X/RzhXO/mMbtbHY+IRSHU2wj0RHU8x1tiXmkVC6pSmtD4x3jycIfhhWPh0MtfiGtiQK31rtMopH8ZmAo88Sq58U7GCRLizqDWj00z8ju4e5A+kKbBnjEIrNzvNjChIGiMuGjxovHxUByc000fMBBEwpa+kpQ0lVWTrZdpKVd4a9N30dmplhNHZ3ja5RN9TlGWT4y6LGDlMydqsg0e7JNyz45RcSnpF5EuBPp/OMn0Km1TYDJc50BTpuXbMshdLuvTicjRUziue7tP7J8fkgFplO3QfSltwsmONnGa0QHW41KB1HGK0JNw5VMFxN4lvdYA52/bRKjMoF+q5yT5LbLsGnt3K1DuzFbdBApvxla8h76hkq1GlrF71XmKthLvnoulFxzTSfM/cL8vMyhitKJ31mwUBPCfLAWVV/ZVuwRwXXx595/WeCffSp5D0pZF+ltwamCzsrUBV7uZKcMptiKqXm1NV1aczCPcKkylfBuE+ZcCjuEAgEFicCHC7j2F3KguXc8nrnAWSyZafBiOFGWQ1bQYXJxbTatUvfvGLbEhrzWwDaZM2mlZdopxAYF4ggD+12LDEKlmkXDObbfnZ4DkhbyG3X5X1Lo+obMpY9DiNkK9S23Gaj5JF76DZvAWVV1yyCVUBHCUy1xQ/l5sD2DfrTAtjtl1WEVZcVGVIzKZVoCw8sdoe6+8gAlqa/u1N26u1YpDRGbcquZ4dAXIgZvnaeqYL3gEaZfb+NUQ0yGjHd9oBXQpJYWwjBxfllvBmmv7401PKbjNEs6/FZ+ZCGPXj02Y3upOxqxL1ssGDZeCUliOj/qVXciZ7qRoEGoSGeqtk7nfRMccee2yTWavSo5I9Soltd4sPWV3cpAmqXOkyj3DDvlVHwrWIAWnT9yBKrlVsihwB6p6PcBqHuBX0RGsFLPINiXzUEP2c8zzx4E1iTnYPOLe8jFK9W1qlDYr0cYcPJypVAqXwI8xkz0RrRsLdgYpJaVcJcZkoOU4JypePLqNmwCLxLMxI0xzD4RbNvLMdY8Aol2mz5nf7B5vtmixN+Z53b4bM9AEhb3CZEZAmpzno6R6kdMEpG+ReX7msbr1RTjZCILlBrzJWFHxT4d1K7FZCZrxkUGxDcHVYiD1JKNGyVuj4tIxKAqkffAdnFC6BLpsI4a6eyctWLnTQWZrVYXUmNnTk6fzVnDcFTB4mrsbLRfhIUYR725uoIKnLYZzTjBaoxrbPaB85g9SxyQaiKcFSuuSUsy6nksONz7Dj0Lu0JNwZbFHnEOJ9yyVprgnSfwTfpBOBPZmt5JqkQOV0KAPiuchquZSy9RPs1qARWxUUl7OHwP/VH85eASF5oSPg42dqa+q50BsS9Q8EZhsB1INzO512wiIJKePD6fF56Utfio9IBlPlum62K9NTvlmFBzyzbz1zzZNkbHMwJpggp7QzVehg5eZJhaMagcBsI8Dkx4q06a8glcvECR2fDx7EK3k1IZiSIyzOkXlNZUN0wAEH5Dl9rjCHpDlcBlDPmCm+vJMNZrI5UlCZJoetA+2BzfQlM2Er0mrDeEpsCYRQIxPPm7M3A/3ba93rtYxVr1b4SSaD7kENrAqlmRCTnJhXt1xawlXkSP8aWq6rIUei9CJNyRjw22+/nY/UVou5nL4//thMuVoZZ+aN6UzOJFYv6LVBTWZILlla+PUvPVd4NgJ4Fkodw7vVRy13MayYLelb217VB2uTGpji05q/uWu7ypUvjXCEbzrQO0fmAM2WGtr6lmP6B0aAetAIrx7hNA49fdjq1vpwyys+VzsZ+6fIZnpPhEgToeat7hjPqfcYyruZrBxyzbtljPfYoHHr1AqERXVunrxsG3UKrSG/BEZ+wrmUOYUw54T4MhbuwbZPAe1mEfTHFXXFxtwnqZmyGVP5dLYhKX0Zmynzd7B5q9KXN63mm1kWVoxZCpUSG/Cy2hZN7HAr+2hW8GWa/uGKJe+fsUrZlDOoQ2lVK250UOUrar4qceRLnC/Vpp0Ttp356JgwVGx7pUoZtqDSmUn/vINytSqhO8RWcqpnpCNjvuWhLueT3vOOaXWXuUD5iNE0DwXUBGEfCpPm9GbQyBwUn5GJwGwjEIT7bCO84OXTQKaDrRd8S6IBgcDsI8Aug9mX/fWO+cJkWenxLb7ttttWO8JmvyJ9S6D39oAni7a+eeZNOnY3lByW/TZ9V9PceVPHqEggMFUEaPswy6x4EARVwbhmHBOrOmdOuMXbFWWbRcsRRxyRt29breHf2VDzglVm96xxv4AGKiOFzfj5WkVP5PPNaBlRVMxam+weKp8pNHsi1qlJDofgVtdcr1oZVpK9OdWQLjAbMSWFZbkukqV/eyVmY2udby1aOutM5drDjhjtY3SGOrRmo+FLTGJZbWwstzxI8zJyqBqi2NTQJoNqkc9Wjq0r9pC/slJ4M9wf//RVKr2dJmm6iQuLpJVh/yVS/1IzoJ6d0FWVqEpJX5K2QvcvvZJTXeprfVQaNlYJui+tlrfcckvr80MPPbTyjYM1MwBEGnvdQtJdfVraszPx8yxUlFCHnDTCGWt///vfr5KxYKUqdlTmjH1aZUyXw0Ld/xEm3zgEEbcqlQGdWzadeD/Y7JKnDZRt9EDcHH/4wx+uqorOMDyYc5Y0R5Vm0GWiwhlRNpV/Jldyte6+r6TZdqPCyOsqnj7p9NNPp5VpnlNqqNvzQWXoAVeH/P6pJMzeJU2Y1y97gqaD49krNCRXCFQuXOjn0inKVbLq0kNd7g1yN31tq2TpsuP9ll68OddQNFzONZ8Dpg22xZQ1NIentGvqMptze7x8n1+3ZrosujvcrEBHx1W3Bul0vY27Cx3hrhkaH+5QrV6YPuV84JihUWYM2qTYs7gKCu/JPh0xqcZWJLhJUc9ql8lKN/fik0ucykd/f38yJEwB9rL+ZbgJbLKiKNOkcPU+aSaImNlGIFzKzDbCIT8QCAQCgUAgEAgEAoFpIGBFZM+HXTX0fHynJPKIzTXyiE9qS1DqQPyp+ffee+9tdi5x6T8a8y4GIX7CCScg1DKlZcGPhOUNhu0zo0v2WYhLpnxOrcDDMlUrCTUelu1l5rsmJWaOyowd50UNwLiY+XzeZI24RMHzOLH11lvz5aq2KDCcpqoigpFl5RnUSFjsJEWCdSO20UqPIXPP9iboMYNKOeecczBZIMIDggL1pjgagve97319tkjLYhuTCqPFUaX4dAAyZGMDroFMqOBTHuc4VA1t07GhUE0cr035Yc+BFTttxCmnnHLbbbdZB3bQN3l49cSfO47TTjuNDgbFr8d1is377OuRfa94xSu42tCD9AfrrruuVTq4kKcaziZRNdAimAX96ywvHBNR2d93z9JzbVsDlAG2TVAIUakaeyPs7wagIYd9MOR01gorrIDBx3rjdBh0q7DB1lp0FWl4Z2bZLYOzNHivEjcv8wg38DyPXNywYlElHmPhzO6MJ7SKxWgKGRQzFNRDPcJ5HBoY1FT4dMYEvBMwycdNUCmVnl7SE+GF493inYDRMDwoxiiloK2NBx100KAmdMSzXcDgE4LBpD7xZHl9UcJh8J2Lw59AH0UF2lTGHXfccZNNNqGb9wJRMYPcyDfs6RqbVsbeM2z27YFQt/XWW6+jhrN0yyYk9C6FB3VRRxFGuIe0I0HcGgcBuhaDpJTgJeylYbSXkVVYmirGu7SKyZeVg44cL1BtkxrklKbMsoDCTg1hk1RWGJdqLlHOIvLdSrvpPcZ0oLsXct6JBLjaU2i5v0HvtProoKuu9LtV5XN9ZqP+1LrlfiBsLL2pN5iZUi7XCzyHRwhoTulwn85ymhuLKxc0lWarbI7dUV7vKQbUZWeZz5jGZL2InUwmw6Xux9dtqPfqFGAvm1aGKYP1cul+xze6QimlZ4NfZozw9BEIwn36mEeJgUAgEAgEAoFAIBAIzAoC+EGUNC7JstYvl4Ge5jk9rSXQ3IhmLrmbx3+hvC1IuPZGKNujk/ftSomPRsJi1rJMk3ssG9I5xwhYlakAJhEvVjrTQOlyGV/5cFh55ZWZoCJ2Wfv6JTnWSOg2Fai4yN133x0JxRpdMtt+k4fWPu3N1aMbYLDMfL48sow7bMwg/r0P4U4UCanOOFO/JFxVUe2O00xneOQSBYaq4WabbcYkjbOsQw45JAshXI8M8j6fk6VAT/xRjRbMmFP2wslkWHacJm0EgpKJPWqVHsIAQLiz/be/waBiEeaXS3SXvqS0Fu9ZepbQGkCwYvaNHz8E9wiEuyFksFGB6Ck1zKVQYBjAeUNGjm8NWJbTFZUW7gzemzaYrXlzZB7h1fOICwZ+KTxn6RkYFur+j7AK5HFY0uWIJ3w6nVD1YHppeOQ9PqnLcv09U7KXfEe+NWOA8o/az4PgHYI5yunVAYvkVdBzm7znyBBCoBsJWYhHHvjpBZIjc4BKSXpaH/XPkVMLIE2Uxa9Uq2upXA2OI4YihnLGCPRBwMkEtHTl1ivKJC9MetBB2b1F8XflXU/3GmusUcaU4UGnhuA00xjIiW13yOGFHoCSuUHVCrrVQZoJygbPb1ZOIL65upollyxVrfKlF0XpKcgxLa3vtOr4FkrBpj4vy5x4oDLTNlNqHgZTkrMjVMD7sPQ1R4E9TcLdU+Cznu33PSZGQrMjqD3Ks1tMO9NxNam9ZizUZnkOYwuX+SQVeEZjKPN2uaYAe65bM0A9QEGb4+mSs+lDjhSoRmZ5K8LTQSAI9+ngHKUEAoFAIBAIBAKBQCAwDQTYhiOCWYM6GZLXF8wUgql0bIV59xtUlVVWWaU8sS0n403lqquuYmrN7Jcll2UwE/hqn29KjApEzjom2vmKKEs0Lpt0dWhNzMsNYpQNDnaD/SmDMmJLu/tcAcwvk2eWTVbdpdHfjO3NEgQ4kWDlZP1MDvJO6ZnOYO5dpuwIM5VFLzIoY4htzYaPVufEAKpk5ZqWnKFqqI3YB32HdmGXDQrsT7V9mBF9aUdfVbUn/mgLJm9gtyMBpGhTuoHEEYDXVoBSrPHD5BNoLMTR8frUAGCTmFz9lCl7ll5mqcJGC+rWZm0EQW446tavSpkvS91SitS5rLOZlusOPWWhrtd0U0UWZwnNgDZWK9Wk7Gmm7I4pRzjoIAw3zp2buUQ2B08zWY4ZFur+j7AiynFoNwxLSePQ45lLLwPcC+gdPLj6887E+M6Yr3gxj0lH67A51V1db0MMJZmnDI2iOBIk60NjGcBZGhULNZJH3ohSMTx1VbGyIcLJ/tFbooof6pL6zW+oLCkx9VWpwRpBQmSZCALUPKV2mUw6PJazIpsfMsppY7Uq18agZsqcxovULpwmZWnbUGYVJfaMdwxXY1WVslO4LHx+BnijslWuqpsH3E6aKrK8pFuyCy3H2Piy11575cscsDMsnyjudURDjJ/Nd8cJqEBJuDPP92g3Mc/a91TWCHrikStp4uRXZlfn8lLYOLEprYrsuGwOLTJLt3J0J63bjOzfKneHmCkNq6VurZVXuu+mb0G+Sy3anBJcc801OYEAhXd5KYxSz4S7y7Kq5gzpSJIqy6DL2YB9UFmt8ebqJeHuMbErtPpGm9p5O7Vmj8ipIRCE+9SgjoICgUAgEAgEAoFAIBCYEgIYUr/JFmYFa83j10cspgBn1yelNMy6/WZMbEU0aPHWv72ENGmOGYtuJkD/odeb8YNi+tcQzuwr/QaJ6hPfE/+hCsII+02w9A5R2fVQR5oZb/GFYlE6Y7IpJOg5wkeoSc+OTpKHeoSHHYeW+s1NMyO0qMxCJmdQZcwIYVqW/sOAWlHDq407IxQaWRY0Aixh/aqzOmwOMzzS/irPHf0ZEpObo+ahKdjJbh4ZODZaOeykfKPy3FX5pbGnxGjMSJZhkTTfn/rUp/IJxjnZPAzQ7NJAoP/KujmmBeFexjTDNjxBKSshqOc5uaos4pHddK45jSwVUE2x/WPQyrbfJT2cXDQl7MfpV7I2Rbn24pTaWaVPU22Wa5IbZTNW5V0EP16acueUOVAh1hxatmsYq9mXC7MMrbbhKUsQwP/ydZZPi2VmMWjCVubqGaY+L4tDuHOyV87B0PHV/ommmb8Hk21BhiI7n1EHg6oCrbtiE4G9u4juu14O9oHlJrBusZ/PCyQfHuCWscrHTrecuDvbCAThPtsIh/xAIBAIBAKBQCAQCAQCgUAgEAgEAoF5jQCqCKNKbdC6yWZeV31OK1cR03Nal4kVjrxD2FV01Q9+8AO0e3cZNtPgIisGs5kFK4ort+nKdhCHQHIy49CCzBpLb5MHkrHMmHf85EgewOgmUWwU4TxK5/j5FlC3pkuTL37xixV1XlYbQU9pwcDfiQX5GHZA8a4mF7KVNo5HdSbV5anUIJKxlDNmGD9rWwNPdFkOfp+/NTo5Sne+TVSg0rg4NKLp7SRnn3hAk9Wk9OFuAxxHPfYD2YKGXLZ7z+n0VblZhZDiZxxaRNmgUCpIYPLZz34WEW8EenNy3uIwm7IUZwWVl2OG7Tqy8S4buWOTuXjifpAylSt2my/5H8vss7I8EU2bDyw5hdkZZ5zRrMyw/mQmAnuzGv1jaPFttihd89PYcdvolWIDopHpMCR7JfsLjJSzhEAQ7rMEbIgNBAKBQCAQCAQCgUAgEAgEAoFAIBCY1whgi3itYbDMTpb/HBay87q6869y2WJ0/lVt9Brhc3lpeMtb3oJk7y8FQYwWZP/enYVwLin4fKtckZS5eH6rNvowMaYKSh6Wckq+koQnvqEty59IoGRCs8Du4xyzm5QDDzyQXXlmWmV3VopfllMGuLMrTwotb40c5l9I6SWbzJs5nUqrQK63mv6FWlNOMNLJFs4YyAJpIFCxVD4coyGjc3wZyPCmyD5Di8cVhu3leRg2LviVYnOY1mGyG5648fF+RpejknMp/32qTHGuTI7necyZQ03PPxJApkm4c0PUZOeztEGB8WEfJLlnPM0KT0rlc2QLQqkcIofnep+2ngIj2WwgcP/ZEBoyA4FAIBAIBAKBQCAQmIcIlAcozcPqRZUCgUAgEAgEpowAzogVLXtJvB5yjWXolCsQxc1PBBgOsw7G0PWsHntbfq77uEdjhdr0d1GWwntG0ykNCtXhKGWypRB29ALP6TOyt9hVZt1DueHuiR7JnH3rshnTM/fm6gTNPWPKySZwrHrzFGW7JTLbjnWtkKmUZD2HFuWHsmasPGvxgw8+eMZkwyagFfB8ORalO6NNCbQCTUBSLtmd5lJJYD4/Qq+ND3tVjWEv6e2c+gCWQRlZ9Dt7plXxMChLxE8cgSDcJw5pCAwEAoFAIBAIBAKBeYpAtcaYp7WcT9Xad999jzzyyPlUo6hLIBAIDIFAPMIzguW4YLaT3EN/8pOfZNE8Y/pIUCFQnVVY3V3Ql07DdlwqbxXIdMxva1tQdZycoALZlmI2W9M0I7msQUoyra1u8UbizM+dd965ik+XHDefdNJJdEIzuqxpzb5AI/UCTPhFWX755ZtNwCcyT3bUNqvq5t2JxOh6/XX22WczYG8VyIEJV++lB+3WZLMUyaDb2Zho7qZjca5g+MrnXaR6s/G3zlF7WZ8+Q8uoc/YALZSjNVpHIL/t3qXcLjkspxQ+qTCn8B5Glt1Y9aZMONif5DXuld68m2Ne9apX5XAK9NGmVFlcTgT2ptihYgCic438psKAr6rLLrtsmuf3DlXzpZP4/53CsXTaPNsttfts4403nu1S5pt8Pub4AuOgjS3AOHWblJxx6hB5R0Ygum9k6CJjIBAIZAQcUeVLmi8nHih9pE5ceAgMBAKBQCAQCASWFALYN/64Z6nJT37ykytH6rNU0Ixif/e733396193UCrNvTDzUqcsqh5/4g7m7c7O1QmNTk5jxcRY2CWn5DfddNOPfvQjLs75QsHbPutZz8rJOgJ8H3EloRrS8OHOcXzTDXdH9oV766c//ale4FdE2xHxfOlgVyfuRqYDH73viFQ+03llQbly8uMY9sr5T0f2Wb2lbg4DuPvuu9EydD/LLrusM2ZnHJxVlXoOrX/8x3/ky55HIx5LnE8OAXogJVbSZunSTJ7fdpuT7rnnHg6LNJZJO9P1QVqxshrcAZV+V2hxcPRlgmHDE4F92EKr9PxTeQmnd4LHQV+ssMIKVZq4HIRAq/ZoUOJh42dF9TRsJSL9LCHAgdcPf/hD36FnP/vZs1REFut9Z8aQNy7l+GEDk5IzbLmRfiIIRPdNBMYQEggEArOKgOPdVl999VktIoQHAoFAIBAIBAJLBIHSifAibjJem7noZC1GGSC//L7fsLhhUWf0rTGszAWRnkmv3xxWlW217Q5zWIGOotXNaa4dCfrc6jm0bM5w6m8fgbORBkNKO+U3rHCqGhb6Za5hj0st86bwRGBvih0qhvKJR6OhskTi6SAQhPt0cJ6bUq677rqzzjrLNqIpEO5z08IoNRAIBAKBQCAQGBKBG2+8MQj3ITGL5IFAIBAIBAKBQDsCd955Z/uNiA0EAoFAYK4RcLAq3/o0BMxDbY8oDxHl+sbZp3NdwSh/MSMQhPti7t1pts15Mv/xH/9hX9WYhU5KzpjViOyBQCAQCAQCixWBK6+88pBDDlmsrYt2BQKBQCAQCAQCU0Pg4osvnlpZUVAgEAgEAsMi8Otf/5qnndZcHEGP6Q+5VWxEBgIZgSDcMxQRGAuBvfbaa6z8/5N5UnL+R178DwQCgUAgEAgE/hcC3/3ud//XdVwEAoFAIBAIBAKBwEgILOITU0fCIzIFAoHAwkDAAQy77rrrwqhr1HLBInD/BVvzqHggEAgEAoFAIBAIBAJDI2A/FjfuQ2eLDIFAIBAIBAKBQCDwvxHgwvR/R8RVIBAIBALzHQFHPV9yySXOPZ7vFY36LXAEwsJ9gXdgW/V/+ctfOivZHYdC+GsTzXe+852U0PHNPFUJi3nAAx7wjGc8I8VjH771rW/dddddjmnODt+d/nzLLbdwdOWoa8dVO37aAegrr7zyX//1XzdP8mUw6IRo2ZdZZpkk04HyTg9/whOe4Ax3MY5v/cxnPkPUf/7nfz784Q93ivSqq66aE6cs/k5KThao5k7Q1hBnWDsD5ClPecraa6/Nh5cEjtUW6RznYXcS3XvvvTfccIMzaWGbjkd/5StfWZ3f4vggh3ff//73f+Yzn5krUwWUrg4iHXpTnqk9FPJlV+rHz3/+89/4xjeMAad1O5zaYSal5L/7u7/7xCc+4Xh3XeN8DweXO/lHJcuK/cu//AtXjLwDpRapjE1YhsHf/u3fSgmrVVZZ5XnPe16Vq5TQGjY8vvnNb37pS19yqjsHamB3pDtRzTGQsxszjts2kFRJ39FCGzPLLbdcThCBQCAQCARGQ+D9739/uHEfDbrIFQgEAoFAIBAIJASsH9OqMwDpRsCq59/+7d9yGkuwHI5AIBAIzCoCyKu9994bgfOHP/zhwQ9+8GMf+9jnP//5mQeb1aJDeCBwv4Bg4ghcdNFFvEFNXGx/gccff/w555zTmp4NAqLTLYQpAv2mm24Sdo7Ecccdl2ZL22233fbbby/ytttuO/jgg3/0ox815WCHjzrqKMx1eetFL3oRFvUjH/lI5p0333xzQt773ve+9KUvJapp/qAmRx55pPnHbMhJMq+99tr3ve99eO2yCA3feeedN91006OPPlpnqecee+xRJugI0xacccYZZ599tvd1lez1r3/9nnvu6SWe4r/97W9vtdVWGHDCFVEldkkTYJxQcsDnhBNOyDqMYZHPXUlX8Y53vAOlXpYF5A984ANIfzUXuOCCCxDfZQI6GAOmVDl87Wtfe9vb3kbrq1Zk7rfffijvMouwXAcddFBTl9AcBikj5cShhx56++23V3KocMiHQBWPlJceO1/Fu3Qu/P77749/b96KmEAgEFgcCHg/eznPalu8q3/729/OahEhPBAIBAKBQCAQWNwITOF7zeCmuRJZ3KhG6wKBQCAQCASmhkAm4majxP82do7fIkMAA5voYAbFzJ+f9rSnZVK7SVOee+652HYI2FCDQ080Os4X5fr73/8e6+oUUxJYSTvQGYksPbtjpPwVV1zR54hUPC9RP/7xjzfZZJNXv/rVj3vc49Tt1ltvRVuzs95ll10+9KEPPelJT5qxC0aQc9ZZZ5144okkv+51r1t33XVpAqgEMMgXXnjhMcccw/x8xkKrBOrwrne9i+bgj/7oj97ylre85jWvwReDhQU9Cv6qq67SzFNOOeVBD3qQjM95znO0jhElmvu5z32uy0oaZQO2/ZGPfORhhx2WH/KRkacawe/rvt12280eBUoFMSeffLIxsO222370ox9VE5qVzTbbbI011nj0ox/Nwp3V/6mnnooK33333RHxTYt1zLsmaI6/L37xi1XVkEgAErv11luD146Hql3NSxb3O+20kxJpkrfYYosVV1zRNgtT5w9/+MOf+tSnuE4DBTBzRvsGJMO5P+tZz1Jh5D5qjH09433nMmmFBCeddFIGLWeMQCAQCAQCPRGwb8b7ZG614z2rGskCgUAgEAgEAoH5iQBbq/lZsahVIBAIBAKBQCAQCCxCBNjl8cIxH34slFG9RxxxRLMy4lGomGKBN7/5zV/96lfLNGLEMwAvI1MYbbr++uu7izEv79oZJxKDnCNRpWIwp6961au+973v5fgUwFPjwSU44IADyluTknPjjTcSTtNw/fXXl/KFmXhjeDHF6iYNE/gqwaBLDL70L3/5y9HiVRrNYeLh7iGHHFLewiaLXHPNNSUo4z/2sY+Jt5uJ7qGMHwF5ctiVb7TRRs6bZVBfSsOPcykjAXLcX4R1eVcYqU2n4laJ0s033ywGTa+DQPSb3/ymykXxYFBJo2dx3+XdZvdpOL8NEh944IFV9WQ0Tacfss+L9iXLoQ6R3i6EZnoqjVRhTH1OH4FAIBBYZAhQ0E5hcmBvzSLDLZoTCAQCgUAgEAhMDYHZ3ouWZgIs3KfWoigoEAgEAoFAYKkhMKurzv/lu3lWSwrh8xABxtcoaf5nSkdyTJ7vuOMONsUYz2ad2cgnKgRH37zbjGEKzfcII+XqFsfuO+ywg8jPfe5z1a3Wy6HkoNQ5vSFnxx13fMUrXlEJZBnNjRd3KGRWtzouuf067bTTJGCQzvK6Sqk5xx57LJP/K6+8EoD5Lr8ovLVw84JuzpHI5cMPP9wly3HMco4fGXmbBjhtVwS//FmagH0J1AACPLAj/blrL+8KM1rnoUUgORcq7+rff/7nf06NKuOF2cLvs88+bPZhcvrpp1d3q0sJnCXAqp1mpaqelHYe2CvApyED/JwR4y9M99BMv+yyy9IBuMtZUE4fgUAgEAgERkDAERGcz46QMbIEAoFAIBAIBAKBwL777hsgBAKBQCAQCAQCgcAgBIJwH4TM4o9n/oz55WO98jOT+OLklqQVBQdNiE8nsrYmKCN5EWESXsbkcPLczYAaWZwjBwWGkvOFL3zB6ax/8Rd/wcq+VSDKmJOT1luDIvk/wWuzxW7S1ikL8jr5ar/88suzECeXov4Rx/QK559/vnhubd75znfaKEAOrjmnFBgH+fXWW8/xraW0FOZwPwXWWWed5l0x/AX5y2FL8+6GG27oeNtmvBgAMt4XuPrqqzmjb00j0hhLW015rUmn9TZT8jik5vDJwyCdKSRvM7EY56zynMP4vfVuRAYCgUAg0B8BStn+iSNlIBAIBAKBQCAQCCQEuGW78847A41AIBAIBAKBQCAQGIRAEO6DkFkS8RtssAFWumoqJyR8j5QWx1WCn/3sZ2IQx1V86+UgelpiVuHJ3TlL6ta8ZeRQcrjKkZfLeM7WSyFlmEedZtvLBFU4HeDJIruKLy+5R3dZWYuvtNJKaa+A/QSc4DuhlBt0XtTf/e53V17Ix0G+3KNQVimdkSumaZWfkqVTXltJ81e+8pWlqCpsb4RW8IOsUdWtfMl61LGET3jCE0pD/nw3BVRA59qUkPdMJB2A/QStfvY1xPkBwKzkxGUgEAgEAsMiEEbuwyIW6QOBQCAQCAQCAQiEeXsMg0AgEAgEAoFAoBuBINy78Vnkd5ONedXIZZZZhmuUyuxdGpQoO+hrrrkmeVapcg26fPzjHz/olnhne/rbx1p5KDlc4hA7iGJO9UF2dydIyfJfLLlw9xmhzmXVop///Occl+eMAryg8DyumU40dWQrW29m74zfyzTC4yCfth1UAvMlE/tmcflua0All1tuudZbOZKjGOHbb789x1SBdKsbNFmSx6EsZ8sttwSFQ19f//rXn3nmmQ4GqMTGZSAQCAQCk0Jg0EaoSckPOYFAIBAIBAKBwCJDIMzbF1mHRnMCgUAgEAgEZgOBB86G0JC5UBDgXryjquh1RsdoUCdV8tDyq1/9CucuPd8pHbmqW03ivkrQ83IoOcky+q/+6q+6hWfr7+5k7vIAkzyc7LHHHt2Jk/LgnnvuKQlu5D5n7s41TV5TOGNJVPUgUSMgn1QXgwR2WPoPymL/wSAnMDkLC3dhntxzTBVIt9iQdh+BmPorOyniPsiRvHYA/PCHPzzpvp+u5DLezzGz/lalxGUgEAgEAiMjYI8O4mDjjTceWUJkDAQCgUAgEAgElhQCHEIuqfZGYwOBQCAQCAQCgREQCMJ9BNAWTxZ2xK2NcZqo0zLzaXKPeMQjeM3miv1JT3rSCiuswJnMdttt15pxnkQ6WFlNZuSL+9PQ2eMKCri7jbh1YhH0VTKEOE/liXBPXlyqBOly/iDvwNXWGpaRSQuSwSlvpXC69etf/7oy+W+mBFpy3Z5uUUigwL7yla989rOf9demAQE/d20joPZYddVVm0IiJhAIBAKBERBAHAThPgJukSUQCAQCgUBgCSKw6aabcim5BBseTQ4EAoFAIBAIBIZCIAj3oeBaEolvueWW7bffHqvuvE177R0TmgyZc+O/9rWv5fD8DLDOVrFWD+BlhRHB5WVHOPmal8BxrIO0FB3Z3TryyCNtFEC7s5R3UC0z7eWXX77KMq+Q7zOTTmlaD2tNTUu48aizyy67VI2d8ZK+hMuj5PWIpTwrVPstPvnJTzrp9+1vf/s73vGOcAQxI4aRIBAIBPog4FW29tprf+xjH+uTONIEAoFAIBAIBAJLFoFPf/rTl1566ZJtfjQ8EAgEAoFAIBDoj0AQ7v2xWiopjznmGGz7+uuvv99++93//i1e/vu4XJ9bsBhBf+Mb3/j+97/v3NSOmiS37B0J8i2m3H7stX/xi184AjTH9wxwfP/Rj36Uzfg555zznve8R9322muviy66KPP4Sc68Qv43v/kNjcXDHvawjjYm7+odrnvsjZD97//+7zuE9Ln18Ic/nEm7Hyf473vf+0z0jzvuOGe6Pu5xj+uTPdIEAoFAINCNwMc//nFHMfP31Z0s7gYCgUAgEAgEAksWAVN6XiLn/0pwoXSQc9E+8YlP5No6vIqVUr6MAGe29jd//vOfv/POO20ft3Bm5nXiiSdmggJlcd1117GH4/xWAqt1Pl0lAB0kLWYzhlbZMx5OlhN3B7baaqvSaM/BbE972tO6s8TdQCAQWLIIBOG+ZLu+veE4VjQ0vyiMiPPHrEr6d3/3d1XMfLt87nOfe/XVV/tC77zzzoPqdtttt3FUMuhuM54vna9//eu33nprB+HuS3/QQQfJy2O7T34S8pOf/OTwww8X3nPPPZ0OinDnzB1VLTLFp2TzEHkW96961atS9Zp/TXGS06EOp+pAk5GCoZm9jPnIRz5y44038lm07rrr2j9h5gQoKp8yTQrbXrDPPvtIY7uA2dWGG27YTBMxgUAgEAiMgIB9M694xSu6D9gYQWxkCQQCgUAgEAgEFgcCG2ywgTO9FkdbulthTWcdlNPYd/viF784X04qYNsub6JZ2gtf+MIcjgCSfaeddmqax2HhE0dhLc9OQrISq0xf2Btdbnbvs3W7lNMRVm4+eEyyCUruKDRuBQKBwAJFoMV+eYG2JKo9EQSSr21k8Z/92Z8NEmgv4aBb8yR+9dVX57wF011aDVR1S9rvKrLj8m/+5m/cveqqqzrSQMYPj5/Zdg5k9t57b39XW201k1R5HVTrOFABBpWltHmI/Ic//OGOxt5www3qzLz9mc985qBkuHgDKZ0BOyiNadOZZ575mc98JlnTm7UwYGf+Pyi9iVQqsTRbGJQ44gOBQCAQ6IkAkz3fjvF35PQsLpIFAoFAIBAIBAILCAFGRV/84hcXUIXHqerPfvaztxS/rbfeehxpkXdYBP75n/+Z79Am257l2HS++eabV2x7vhuBQCAQCATmCQJBuM+TjpiVaiQdL0vk/tIT6Umrn7yFNDNyov2lL32pGT+vYpC8zvNRpSOOOKL1U33yySc7ijPZX/esOeNrPmFYuF977bWtWTicOeOMM9xKxHpKw127c1Yf85jHJMv3FIm7f+tb3ypsD9qPfvSjFDnfkHeKqVn19ddfn6pX/TVCuF8Qyca843BaiNkdKZl9fH/4wx8qIekSrW8bIIiSu/bnP//5igbLILt4J+Lecccd8pb+ZFiIHH/fj6V8aykRGQgEAoHAjAgw3FtllVVmTBYJAoFAIBAIBAKBJYWAhYz9u0uqydHYOUTg/PPPZ7DVUQGL7mSs1pEmbgUCgUAgMOcIBOE+510wixVIVurf+973+pfB8dmznvUs6Xk7QaqWGRGdl19++f7770/fL94uLRRzmWBehbfbbruVV16ZenzLLbdEr1OAs17E+aJxecvxkX7zm9/M80z/OnMjbl+b9AcffHCThlYQjzGIY07cXve61yWxbNivvPJKag+8f+qLXBxRSmf5zpl7gnG+Ic8SHwO+7777NilsjeV7QWOf8pSnpMGQ29UMvO1tbyPqBz/4wR577CFjlQCSRx99tEid8oAHPECAb743vOENAu985zuzNiLn0onvf//7SaOf4NI9x5uT8Y/vd/PNN+fICAQCgUAgMCwCPhZpP9OwGSN9IBAIBAKBQCCwKBG4+OKLg21flD07bxtlI3VZN/ZYHJCy+bOVPFl6cexeJjBz+9jHPsZW7FOf+lSKtzDHWuTfYx/72DL9OGFL2ixW4PGPf/w40iJvIBAILG4Ewof7Yu7f5z3veZrHxJs99TOe8Qx08+67714xv832S7P99tsjLtdbbz32yw4Y4fQD9cm2nePs17zmNQ6uZOXNElACn7cDDzywKWTOY1hJ49k5TPd5Rq/7lVXSLp5eHL8pksP68lZH2NY2ltS0Dj60L3nJS/g3f+QjH4k0/853vuNM1HvvvZd/FfSxogmxReCwww4T2GGHHZrMvrlCcubO782RRx6ZZrHzDfkDDjiAuoJ3vL/+6792Qikj9H/7t3+jvwHpPffc45KRe2psB2jGG9NzIJgDsXa3UYBGh+W7kwA+97nPpd0SjrUxrrKQXXbZhXd4BXF279hbpTt8lRUDrLjmN/D4CwLagx/84JwlAoFAIBAITAoBLyufNqdETEpgyAkEAoFAIBAIBBYoAmb77GwWaOWj2gsUgeqgNWvD6syw6kg5i+jKx6nTfWep7dansyQ5xAYCgcDiQyAI98XXp/+vRc9+9rMZep977rnOY/FzY8cdd5yRcKdDPumkk5DFvNcJZHFMj0nbdtttmWzvt99+nIQwKy7PDMkp50kAq2v/I/9u/IM73sR54g43X3bZZRlQp8PEk2l59rc+Y7VR8xrue8//O6Y4kcUpF+vs1772teajf/mXfykGMY3QJx+YjjJvlZycuZtAIOtf8IIXYKLnG/JqeMEFFxx33HFc4fPAk1thAKyzzjpmNqz+c2RHwAmoF154Ict0VgmM0MuUWHsH26611lplpJF21llnAdn+AKodv3xX0U41pPJ58pOfnCMjEAgEAoHAZBHAuTs9lZ3Uox/96MlKDmmBQCAQCAQCgcBCQSA8yQzbUzaIs8GyL9wqafq2Qb/97W8ZRVkCs1Wa0ShqUNMYkznPZpllliGEqEHJho0fqm7VNvrkebUssUrwF3/xF+XdEcIW76Dz16bznivcnqUM1fBBMkfuFLvDcSB2maOAtCttKB9USsQHAoHAxBHoa9s78YIXsUDnPW688cbzp4F8uGPGfT98OJ/whCf0fM+aKODoWRn7SHhB24f1ohe9aIIf3fmAD7KbDSNmfNj+YvKPwefYxAcMJsCxmWBS3+Y5R/5rX/saPzD2x9EEpG4yceS8PrnSw8IbCc15T58OJefrX/+6U25MGkiw64IbfRz6oLzGnkFor4CTVFm1c9q+0kormfwNSh/xgUAgsDgQcAhHx8nJU2ujTUt22wTnPjXAo6BAIBAIBAKB+YOAhRLzlzmvDyMbm1ynU43bb789NdkapNzoZrWSN+MyvbJzt6qPBYt5iyyl5bX5gw1zlplp03mVxSVDLu56cvw222zDmWe+FDAJOe2006wNcyQ7bv2SL1NAtTk954bFIivFsBKzaGLSZH+2NVSVHi3AcCpHWvQpVymXXHKJVljkpls2ZBPCdo1ZWE48bGCoujENTPJZy5Wn0DlfBw9eFs0arLx8+ctfzq5ODKgtYwUs8HViTsNV6ROf+MR8mQPJKynoHLqWIy3qbbB+05vexMwrR+bAu971rtJ9PPew7Pny3RwYquFyTbZTKH6Yu1133XWW8P/5n/+ZasXKUIdyUeBXjgr+cn/5y1/mmr/4xS9u9Rlro78N+jmZMeZyRlPOnD4CgcC8RaC/x4sRmhCE+wigzZBlvhHuM1R3Md7+zW9+w/wcFc4RyqD2+fZwV4IxP/PMM5mWD0q2BOObhPsSBCGaHAgEAnOIwDwh3CFgtXneeecNq5SdQ+ii6EAgEAgEAoFAYEwEGDjjl7/97W+PKWci2adJuHN3yZ1md7WtLu3EzWmwushcB3flmGbAkvO9731vRRlL1k248wrLL0rJ7XLLiVgvzZ6wtHYhXHrppc1CUwyzsGOPPZaxVJmAJVPpoYUJ1Ic+9CEHjNneVybLYU5BOWIdlpMaoW6OB8uFjhaw45xTWXmd5ebAuSzkqquusnMxX6YA5Yofp7tVfL6Em46rmHqR5Rb/K664olKojNBwJU6wU6graAXKSuYWpQAjNly509rSpdPm8CE5DZe5N910U7O7TznllHT0WkqJP7nssstyrggEAgsXgeZon2BbBtqWTrCMEBUITBkBZLrPDE/rySi7tXRnrWDbeS9Jh8S2ponIQCAQCAQCgaWMgK24lrsUAEsZhGh7IBAIBAKBwNJBgAfIpz71qfOEbZ/nsOM03/jGN3az7ZrA0JhH09L4fcZ2MbhmWl6y7WyT2SyXbDsLM/OTDrZdKdbCzsqqjhitSrd1++1vf/sgtl1ibDUvo1Wu7stJ1a27lJHvMudnmU4V0cG2E/7Vr351gw02KI3fZyxxUg0fuVNsU+AEuINt1wQu8p3w55jZ1BxtLNvF2t2W9DImhZ3nV0Ya+eVlhAOBQKAVgSDcW2GJyIWNAD9uSZPvaM1yP1pulQ13Rx11lEsa+3JHVU4QgUAgEAgEAoFAICFg4xp7HxxEABIIBAKBQCAQCCxWBBi2r7322syxGdsu1jZ2t4sROrtdP04vy5TsH1O8v8svv3y6xcBr11135WK0TEkCw2EuUCqv4nfeeSd/KWyfy8SDwhJzBcMVZ06gXLbtD33oQ3MMynjPPfe85ZZbcoyAU8pWXXVVFuscyeZ4hapnB91/xx138KmS0qt2q5fUM844o/Rsk4W3BkauWwa5coGrRflWClTlOrguxS+33HLVrdZLzWGZXt6C2Atf+ELeVLgTLOMx184b6+blc/qRG54l5MBonWI87L///sj6LEeAcSHXRpXfG6OXysFIk8CwKXc8iGnqkIwfDo7cSj+OBKoz2P7nTvwPBAKB/4XAA//XVVwEAosFAZv7eB/jSs98xd7A7PrN3OWzn/0sd3g+nzaINX3wLRYAoh2BQCAQCAQCE0PgV7/6FQ7C6sJG8vDqPjFYQ1AgEAgEAoHA/EDgAx/4AEfeS5ZqT53w3Oc+N3nJ+P73v7/mmmvmnmGe1fSeIebLX/5yTiOAAedAPJ1WitBkFf7ud787s5/8vHNSlzyMl7mqMOtjq9fSpzZ/4uYeyUd5TowvLu0ArGpPOOGETJsSwok5xyApPbPrww477KSTTsrZmwEzHBvEORtx60c/+hGOnk+bnOzuu+9m6J2VDTm+NTBy3TLIlUMY/k8qhzA2YWRg1cHo5XqotTLNSOAcc8wxZfxqq63GdUzSkeg4jvUPPPDAnAD3zRjcHoUcMygwcsMHCRyqU9D9Ol39szQkOwc7T3/601PMV77yFVofW/zTpTPVeIlJNojM1ctNLVzkH3DAAaWfjU996lNZrACXU6X6p7wV4UAgECgRCAv3Eo0ILx4EfGDOOeccB8v4Rpo9OPME5/6Sl7zEB/Xwww/HtlODf/CDH6zmLoun/dGSQCAQCAQCgUkjwOTH2eN2cDMDnLTskBcIBAKBQCAQCMwBApyAWzfttttuS5xtHwp65CaysszCBzo2M7Ht4tlo8+VSnk0q8vTTT+82crcJ2xyj9InKNvnss8+uVqxIVfR6Lt15M8j0zLaLx5ufeuqpj3jEI3IaFOpdd92VL6sAfzU468S2u8VO/Pjjj6/SfO9736tiWi8nXrfWUsaJ5K+cw8AsAR/Nk3vekaDjKDz0XU4g0LT4Lu+m8MQbPmyn4MR//OMf54qx2cd1ZLZdPM0Nd+05gcC1115rJAs4F7fcFWGWW22eqE6pDX8yJYwRDgQ6EAjCvQOcuLWwETBX4OrOZGjDDTd0mIlDY0wj8Ow84tlH5ltbzkIWdlMnWntzbkYQPOBPVGoICwQCgUBgMSBgkcbDTKLdy921i6Ft0YZAIBAIBAKBJYMATg3V7jirQw89NHmWWDJNn0BDsc8/+9nPsqA//dM/3X777fNlDmyzzTZ/9md/li/vueeeW2+9NV9WAQZhqN6f/vSnOd4BrRatTfenyNCy9Je97GXNM8mUu/7662dReNXKB3e+JeC4mvvf/3/xQkzIK/cs2TK6zNgMT7xuzSLGjMEylxLY8nOQUsYI8zr7l8VP11QJmpcTb/iwnVJpBTbaaKMnPelJVT1f9apXmcHmlhlaaS+FswFYJZaJS2m6/uabb853eVnMB67myAgEAoFAKwLhUqYVlohcJAjYCcUXm98iac9UmkEPwYHjVIqKQgKBQCAQWJAIJNod887XJ9dkfuFnZkF2ZFQ6EAgEAoGlhwCPGQyi+Zco7XyXHgxjtdhxmmX+F7zgBQ9+8IPLmBTG5KImS+tgsA9amTqbtJLALWqTC5bmS1/6UpkS3V/So+WtMowz3XbbbcuYHGZMncM5wEkL3zL58ne/+10OdwQmXreOska4RbdUuuuxOQAH3ZQDkKqLm2mqmIk3fNhOqSrM60tVQ5d2YHzuc59rxothtF6qIgxa7uCTVxmn/pYOfGgjKif7rQIjMhAIBCAQhHsMg0AgEAgEAoFAIBAIBEZBgG93toF+1qW8lq2zzjobb7zxKIIiTyAQCAQCgUAgMGsI2JLFVhrXxjF38Ozjw1ydQfqUpzxlkMzKTnwol3QYTxwoPr0SzqN6GYNt70O4l7bzZXbh1m3flWV98j1SZWxeTrxuzSLGiSl3BpBj8taq0hihiIk3fKhO+fd//3f+iMpql85kyvhBYcftsnzPtvxG+De+8Q1OAqSv9kaUOycGSYv4QCAQSAgE4R4jIRAIBAKBQCAQCAQCgbEQYDPlx+bdFmBmbizf8e8k8pgpPJboyBwIBAKBQCAQCAyJAHvbe++9l9tuR0T6PA2ZO5LPgMA//dM/lSl45ikvy3B1tmRPxyxJAorcYZ48/5QChf/xH/+xiulz2ZEru57vI6c7TUcpHRlHy9UhcNCtqqA///M/H5Ry2PhKcs/sHbmG6pSmnGGbxmid6Tqnu7nmtDgI99/+9rdf/OIXc6SjAp72tKflywgEAoFANwJBuHfjE3cDgUAgEAgEAoFAIBAYAgHnzvklggMFP0TOSBoIBAKBQCAQCAQC8x6Byur8D3/4w6AqV6ekVsefNnNR0ts8l+PPO++8tdZa64UvfGGOEahsz6n5q/qUiXM4nwuaY2YjMJ/rpr2VLxSG4ZMCYW4bXrVLozSNw5yhWvemN72pJNztrthvv/1uuOGGcniHeftQkEbiQGC4hzDwCgQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUBgaSJQufuoPMyUmPzt3/5tefnwhz+8vKzC6667Lid1r33ta7PnGY5c9t57b9RnyedWpW+33XY777xzJWquLudz3WBSVa/qnRK0n/zkJ9lxOVfmHV6DUq5K8pQ7xamnKlm6/dG0yp1RqqehxSgkt/Sxj31s1tYsv/zyK664IvdT6S4JvMqUJxBg8A3RnDcCgUAgMCMCQbjPCFEkCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUDg/+NYo0ThlltuwXWmEybLeGFHlZYxVcby1itf+cpjjz32/ve//wEHHLDTTjvlW/wCHX300SJzDFY0hwW+//3vl5dzG57PdYMMdyglMc1l+Y9//OMmme5g1dVWWy0j+ehHP7o6EzXfyoG5bbhhw2n79773vVwfZ6i2Eu6bbropXUJOdv311z/pSU/Kl45OzYS7SAf5loesOmB2Ovskcn0iEAgsdATuv9AbEPUPBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQGDiCHCpkY2dk3A+XsrDNtkCf/rTn26Wy/n1j370oxyPFU3nu+SYMoAelUDMmmuu6QTL8tY555zzta99Lce89KUvTSlTDM606cLbLQeEcgDyhv/59TlYNRcxcmA+102j8MWVzuP8889vNvaaa64pI1deeeXysjU85w1/2cteVlbsggsuqAatu7fffnvJtjsltWTbJWDAvswyy2Q5hJTm8Oj4fCsCgUAg0AeBINz7oBRpAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAYJEjUNmq/+d//uenPvWpss28cGy88cZlDG/XlaW5I0/32WefMs3rXve6nueoH3LIISXvyXyeqN///vdJ2qMe9ai11147S/7d73739re/3d8cI8DLDTN5LkG+ed/vu9/97ote9KIywSyF53PdUpPf+ta3lm1HuF933XVlDBPvY445poyhsygvW8Nz3vDNN9+8dNqux4866qjSycw999yzxx57lJV3Smp5Keyo1dVXXz1HlpQ9XcUrXvGKfCsCgUAg0AeBcCnTB6VIEwgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoscAceQVi3ccccd+RVx5Cn76Pe///3u7rDDDldfffW9996bUnJOst566zEQXmmllZiff/vb3+aOI1Pk0pCJFk+JZ/z7xCc+EV2eCkqJGSa/733vQ+unS6I+85nPZJL985//PHcfSucdxTGtt912Gxvt8rzWLbfckjnzjOVOJMF8rpsGQsmOgew4BafM37qTaVdZZZUEnW4tiWY9zttPH2TmtuGPf/zjt9hii7POOitX9YwzzuDRSNPoh+y0uOKKK/75n/853zUgjYp8mQPM2Fs3Q8Dtj/7oj3KyCAQCgUAfBIJw74NSpAkEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFFjoCTJB/5yEdy5F22Mx1kml1wsFU/8cQTUZz//u//npLxPHP5fb8yVwozmeefPedtJmjGYIFR9qUDkA9+8IO8zST3Jssuu+x73/veXXbZJZswq+2ZZ57ZlCNmhRVW2G233VpvzUbkfK6b9lKHnHzyyYy76Uhy81HMrSzzn/3Zn8G5dOCTszQDc95w5+vS9PDenutmi4NfviwDjud9zGMeU8ak8Mtf/nJj+1e/+lV1K/zJVIDEZSDQB4FwKdMHpUgTCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCixwB/Piee+45YyNf/OIXc0jy8Ic/vDsl0pbd8atf/eruZNVdLmVQomUkbn2vvfbKdussl0899VTGy2WaZvjZz3722Wef/Sd/8ifNW7MXM5/rptUUKjQjT33qU7sRwDufe+65DiPtTlbenduGs0DX16997WvLKjXDhtYRRxwxyE/OAx7wgOYth80aSE1RERMIBALdCATh3o1P3A0EAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoGlgsAGG2xw0kknrbjiipU/96r9HKPzAL7tttti1atbLnntYAIvwWjOr53Dye17KTY5lskxSHzCN9xww/IE13yXV3Ge3zHLPR3H54wTCcznumkgpz1cx7zrXe9qBUdvcrfyyU9+8rnPfe6waMxtwylgjFu/ZzzjGc2aI9NtktDwjTbaqHk3x3BPlMMpEObtFSBxGQj0ROB+PdNFsv4IXHTRRdUhKv3zRspAIBAIBAKBQGCJI7Dpppv6ki5xEKL5gUAgEAgEAoFAIPDkJz+5dKsyfUD+9V//9ec//3nyls6HOy8cTQ/vauVgVaeT3nHHHby6M0Vn9r7ccss973nPm47ba2bvvHXfddddv/71r2kIHvGIR3AjwyS5py+UWUV1PtdNw3UWl/e33367M0W5bndqKJN2jvhbdRhDATXnDb/77ruNCp5zjGEqBB6Nnv/852vgjK340pe+tNlmm+VkRtFNN93UqpnIaSIQCCxcBLq1qmO2Kwj3MQFsyR6EewsoERUIBAKBQCAQCPRDIAj3fjhFqkAgEAgEAoFAYJEjMOeE+yLHN5oXCPxvBJxJ4EDgz372szna/gznB+TLCAQCiwyBWSXc49DURTZaojmBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgcAMCPzsZz/bfffdbcvgc+Y73/kO0/gyA/dK5WWEA4FAoD8CQbj3xypSBgKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCiwGBP/zhD7fccktrSzjYmfEU1taMERkIBAIQiENTYxgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBwH8j4AjWww47bD6cBBD9EQgsUASCcF+gHRfVDgQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEJomAU3/PO+8856xOUmjICgSWGALhUmaJdXg0NxAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQGDJI/BXf/VX++233z333POv//qvD3zgAx/zmMfwJPOSl7xkVg+TXPKoBwBLAoEg3JdEN0cjA4FAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBjMBDH/rQrbfeOl9GIBAIBCaFQLiUmRSSIScQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAYEkjEIT7ku7+aHwgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBwKQQCMJ9UkiGnEAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBJY1AEO5Luvuj8YFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCk0IgCPdJIRlyAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCASWNAJBuC/p7o/GBwKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAhMCoEg3CeFZMgJBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEFjSCDxwSbc+Gh8IBAKBQCAQCAQCgcDsIPBXf/VXD37wg2dHdkgNBAKBQCAQCAS6ELjzzju7bse9QCAQCAQCgUAgEJhNBIJwn010Q3YgEAgEAoFAIBAILA0EHvjABz7zmc98znOes84666DaV1999aXR7mhlIBAIBAKBwDxF4O///u+vv/76L33pS7feeus3vvGNf/mXf5mnFY1qBQKBQCAQCAQCiw6BINwXXZdGgwKBQCAQCAQCgUBgWgiwYV9vvfWQ7BtvvPG0yoxyAoFAIBAIBAKBmRF49KMf7duUP0/f+ta3rrjiiiuvvPLb3/72zJkjRSAQCAQCgUAgEAiMgUD4cB8DvMgaCAQCgUAgEAgEAksSAfbsL33pS6+77rrf/va3F154YaYzliQY0ehAIBAIBAKBBYDAiiuueMghh6Ddv/nNb+68887h9GwB9FlUMRAIBAKBQGDBIhCE+4Ltuqh4IBAIBAKBQCAQCEwdAVT7Jpts8rOf/ewLX/hC+I2ZOvxRYCAQCAQCgcC4CGDeTzjhBArjiy666MlPfvK44iJ/IBAIBAKBQCAQCDQQCMK9AUlEBAKBQCAQCAQCgUAg0EAgU+1M2u3Tb9yPiEAgEAgEAoFAYCEhYHvWT37yE7S7o0cWUr2jroFAIBAIBAKBwLxHIAj3ed9FUcFAIBAIBAKBQCAQmGsEOJBh1R5U+1z3Q5QfCAQCgUAgMGEE0O6//OUvOZmhV56w6BAXCAQCgUAgEAgsVQSCcF+qPR/tDgQCgUAgEAgEAoEeCPByy/qPA5mwau+BViQJBAKBQCAQWJAIcDJDr/yc5zxnQdY+Kh0IBAKBQCAQCMwzBIJwn2cdEtUJBAKBQCAQCAQCgXmDAOrhhz/8YZyJOm86JCoSCAQCgUAgMFsI0Cs7UvXAAw8MU/fZgjjkBgKBQCAQCCwZBIJwXzJdHQ0NBAKBQCAQCAQCgWEQsL8e9RCG7cNgFmkDgUAgEAgEFjYChxxyyLXXXhte3Rd2L0btA4FAIBAIBOYagSDc57oHovxAIBAIBAKBQCAQmGcIMO47/vjj7a+fZ/WK6gQCgUAgEAgEArOOwOqrr07fHJz7rAMdBQQCgUAgEAgsXgSCcF+8fRstCwQCgUAgEAgEAoHhEcC2M+7bddddh88aOQKBQCAQCAQCgcWAQHIvEy7dF0NfRhsCgUAgEAgE5gKBINznAvUoMxAIBAKBQCAQCATmJQKJbWfcNy9rF5UKBAKBQCAQCASmhEDi3F/60pdOqbwoJhAIBAKBQCAQWEQIBOG+iDozmhIIBAKBQCAQCAQCYyAQbPsY4EXWQCAQCAQCgUWIwBe+8IUnP/nJi7Bh0aRAIBAIBAKBQGA2EQjCfTbRDdmBQCAQCAQCgUAgsHAQOO+888K2feF0V9Q0EAgEAoFAYBoI3HTTTeHPfRpARxmBQCAQCAQCiwiBINwXUWdGUwKBQCAQCAQCgUBgVAQOPPDAjTfeeNTckS8QCAQCgUAgEFicCCTfMg9+8IMXZ/OiVYFAIBAIBAKBwCwgEIT7LIAaIgOBQCAQCAQCgUBgQSHAR+0hhxyyoKoclQ0EAoFAIBAIBKaEAM79jDPOmFJhUUwgEAgEAoFAILDwEQjCfeH3YbQgEAgEAoFAIBAIBMZAwE75yy+/fAwBkTUQCAQCgUAgEFjkCNgEtskmmyzyRkbzAoFAIBAIBAKBCSEQhPuEgAwxgUAgEAgEAoFAILAwEbjooovY7i3MuketA4FAIBAIBAKBKSFw4YUXxgGqU8I6igkEAoFAIBBY4AgE4b7AOzCqHwgEAoFAIBAIBAJjIMBeLw5KHQO/yBoIBAKBQCCwhBD4yEc+soRaG00NBAKBQCAQCARGRSAI91GRW9r5fv/73//0pz/95je/+f3vf/+f//mflzYY0fpAIBAIBAKBhYqAI+De9773LdTaR70DgUAgEAgEAoHpIrDiiiuGY5npQh6lBQKBQCAQCCxIBIJwX5DdNoeV/vSnP73jjju+/OUvX2+99d761rdutNFGq6666mabbXbVVVf953/+5xxWbFDRe+655xZbbDHobjNeW/bdd99m/CzF3HjjjR//+MeT8Lvuuuu0006bpYIWk1g6nje+8Y3HHHPMbDTqzDPPJJw+aUbhww6tGQUOSnDPPfeokt8dd9whze677y588cUXD0q/aOKnhvDsIdZ/OM1eHRYBjLMHDsnveMc7wpnMrCIcwgOBQCAQCAQWGQIU1dTVi6xR0ZxAIBAIBAKBQGCyCDxwsuJC2iJG4N577917772//vWvL7PMMqusssqzn/3shz/84f/6r//63e9+9/rrrz/kkEMuu+yyo48++rGPfey8AuFnP/vZ3/7t3/av0o9+9KP73e9+/dOPk/JrX/vau971rkQc/+Y3v9luu+3WXXfdcQQu6LynnnrqP/zDP+y///4ztuI//uM/fvzjHy+77LIzphwhwa9+9SvC//CHP8yYd9ihNaPAQQlSe921s8RfygA1xMIPSr9o4qeG8Owh1n84zV4dFgGMswcOvsDHa/bkh+RAIBAIBAKBQGDxIUBRTV196KGHLr6mRYsCgUAgEAgEAoFJIRCE+6SQXORyfvnLX77tbW/D9K255prsJVHtZYNZHKPaP/rRj7J5v+CCCx75yEeWd+c2/ID7fnNbh0Gln3322RB78YtfLAF/iHQVdg8MSrzo4z//+c//5Cc/6UO4zxMo5vPQmicQjVmNQHhMAFP2gLEDRnxBx924FQgEAoFAIBAIBAKtCOywww5HHHEEo5DWuxEZCAQCgUAgEAgEAuFSJsbAzAj8n//zf3hZwbZvueWWplYV2y7/n/3Zn7Fx4F6GOefBBx88s8QpprjoootuuOGGKRY4RFG33377c5/7XPDK853vfGfllVf+93//9yHyR9I5RWBqQ+sv//Ivr7nmGrTpn/7pn2rxKaec8sIXvjCF5xSAWS98agjPekvmtICAcRD8Yd4+CJmIDwQCgUAgEAgEuhFg5P7mN7+5O03cDQQCgUAgEAgEljICQbgv5d7v2/Yrr7ySJ5m//uu/3nXXXTvy7LHHHo973ONuuukmPHJHsriVEfiXf/kX+wauvfZaMcJnnXXWQQcdlO9GIBBICKDa/+mf/umP/uiPnvCEJ4ih8bIV4BnPeEbgEwgEAuMgQIU8TvbIGwgEAoFAIBAILGUE4sjxpdz70fZAIBAIBAKBGREIlzIzQrTUE7C/Pu+886DAgXs3FghBlg7vf//7+QZZYYUVysQ80nzqU59CxHM+89CHPvQ5z3nOq1/96kc84hFlGv6pmaJzq7LiiisKO0r0G9/4xq9//euUfu2112ZHX6YX5vf8k5/85Le//W3+5XmWX2655dZaa63KtfeXvvQljuZXW221Ki//6Yr7+c9//sAHPvBJT3rS6173On+rNOXlF7/4RQec/v3f/z3288lPfvJrXvOapz/96WWCX/ziF7feeusLXvAC9sjif/jDH95yyy2Er7/++mWy/mElKis5nPne976Hl7/77rv/67/+C+v6yle+kml8JapM/2//9m9qe+edd772ta99/OMfn1LC4TOf+YyGc//NPvopT3mKXgBaKYeJvTRuPe1pT9NZH/vYx8D729/+lhAQZZL37/7u7/jA0UY7SdVnjTXW4NO/lFNWprvyxgag5NWbzt39xCc+Iczy9GUve1kpsCNMx/O5z31Olf74j/9YtVUmEdPNLBz0a51qU2/8yZ/8iX6EZFXzZq4cA1UFeSJe9KIXYb2roXXbbbfpIOcJP+hBD3K6KZt0vrPlTf31vOc9L8spA8BxELGeIhbsb3jDG2it/vEf//HLX/5y6gWJDW9upjfeeGN1dvnud7/bGHOOQimnf/j73/++Ep3Q6ykjh7H8q171KtCVEhzMIIFBfv/7/7dS9qtf/apcsKV1K5PlcPnw5sgcqJqT4o00D+DNN9/smRKj1a94xSsq+eMj7HkxFL/whS8oxZh/1rOe9frXv/4hD3kIJ/j6KD+tuaqtAf3+2c9+1ig1VnWTrl9ppZUMs2GPC9OP/G4p15P1V3/1V3rQ8POMNwvtX+IIMObi8mvZoweTZz7zmd6fKpYTLPrAfvvtt+jbGA0MBAKBQCAQCARmCQFG7i996UtNtGZJfogNBAKBQCAQCAQWNAL3W9C1n5+Vt38fNTa3dcPfXXXVVTgyRBgeGY2CIhytSljyTTfd9PnPf/6ZZ545owSULmILd1OyNry6n3jiiSgkVDiSHcvDOw3yi0X8BhtskGUirLHDfMRvtdVWu+yyC3JKeqKQpAi7v/iLvzjppJNQQjn9ddddx48NLhhtmsTiN/GDO+20Ewk52YYbbujQVOxzjsF2OarU7FAdcIjisW8iWTsq9yUveclTn/rU888/P6dHT3Nbj/1XmeWXXx7DhSRFNNMu7LPPPomRlFh96CS0lGcYhuouRXbjhtB0OCfSB/HNaQ96USBzQG984xtRt8zeEazYW5CibpWOsAMmkvSwww7ThFzPlF7NkcJuOYDUrTPOOAOrKIDAPfDAA/n84WGfHO3FO6Mj5VJtypIkh4aDZJ7lV1999be//e0KggaQmVRrMn/Hm2222dVXX00+rpZ2hECwkyPxFltsUVWmT+WduGsk5IwpgN9HTVaR+TJVkhIFaKqka9C1Jv0a9YMf/ACD6fjZbbbZJqcXwJM6nPbiiy+mAnniE59owLAZN7RQ/Jtssslee+2VEx955JGXXnqpE4A1PEcKKFQbv/Wtb/Gzb1+CmGpo4cQ9dH4f/vCH6age9ahHaUWqEnww6fAvBerKww8/nN5ClShvaIzSODTY8MLA1Au77babLHQeUDKwEzn7zne+E2IjnJSgN5UIWCUa+eh7LwoPmn4UX6pwEgjGjMfZIPcmUQ2obr/99mUTcjg/vFxO5cgcAFrZHPGQ13E4fa2Akr4QNsAQ0O95z3tAkfKOibBXDTChR1enNwGuIVhyBlnGzAknnOBptVDM9WwNeAESQp2DZ/fgeN6BZjCouTdSNUiaEvJwIsdTI7t3iAZ6oAgRNiwNyDJj/xJHgzGVlV/L6f3pJZlUVkYXnURZnzkJ++j4ks5q0fS+RuasFhHCA4FAIBAIBAKBxY3ABz7wgTRZnb1mmqiYNc2e/JAcCAQCgUAgsJQRuN/9ghVfUP2PJsCvzdUPaYVFYk6LPit/O++8M2ZthFohcMk5/fTTR8gry2mnnSY79iTRu0kIf+VvetObxCN9sljUnhicJtNRTHquLZpM6W6xsEaPpvRIZ1w2YqgSK0ZK5qhZLFr8b/7mb/IlghtlLM1xxx33u9/9LsUrAu/J4NQppizKJcjppWGiLr2G4CtTPAUAWlwkmjKnZMIvhnX/1ltvjeM+4IAD2KSj5nOCYQPKVRMsLX0J6jNnR3+jNZWFAMUj5/iUnjEvZNC755xzjjDbVQlkVyUMterlLImOJAfmWQjYxXDEj3CHBmTSLUS2fjGu+BeikygR1kZqErd0SpbTv/IQRrb6of6Bn8LovyyqGUiVxNhuvvnmdDYY1ZzGlgVUuybQNORIgTSEtBQ1nOOFjUyJ7ZPIkQlb7c0xAlRE6667LgyZ/Of4amgBjSh8MejoTnIyiwR53cJ050gB9RdpnKCbUzy0P/ShD+m+Y4891i1DtEw/Ztizgy5PJaJ6kzSRxu2qq67KtNz+jFxEAkFfaIu7xx9/PMYftjlBFUgPLz1WFZ8uv/nNb5bNoQWkWtPXLNxzen2hdyR773vfmyPHQdjIty0GmF4ynvokU6Ru8qQnBYMHJJfVGvCk0wGoKpRyAqDRqaiqQZ6fpny3CiQkPYweEM738zvHi5oQ2wvo2Kj0cq7+JY4Mo7JaX8t2G+gX7aKezPWZqwA12Gx/9o3quWpdlBsIBAKBQCAQCCwaBJhxzOonG+G+aLCKhgQCgUAgEAjMNwRm9RP23+4C4reYEDj55JOZohvEVaNQS/gsjF4VP+MlqlGayn3KjLlSAk42Tj31VFac6M7SdQmHM/hQ5qIoRYx5KQ0jzBgfC8mkPcWbxjEoRgOxpOZKPkWy+EZ7MXCuxBIowYUXXpiSNf/SH6gVopY5RjYPVwRKFMsJugoizBS7423v+2XD2z//8z9nrIopYweNpixLQaoiWJVCZ4C9Gg23LJAtLaKTnXjpaoOJLmaT+uErX/kK+jsnFsDiHXXUUXhAFWNTzHqXbS/3Kfvvv7826gV+WrIGj8k8chOjive84oorSjnUD+ussw4L6zyHZsnLstu4YsfNlT8WMqfXRuoct9DWOVKgZ+X1AgtfvwRvCj/mMY8pRbWGNZ99vS4rfcIw1mZro7Y6LpvD6FM9wgQe+1kahgtrDuH8F7UWkSKTgTaSGmFK+dGR0i0W7nAu/b1YJ+gvt8rO4jmHcxtbHIwTTpOSTGiz6WZujyPuLmWEu2TSu6y33npKfNjDHpYkMLg2jFlqp6cJMV1KprqDpxbpcf5ehMu7I4c5qEHQv+Utb0HlZyH6gq7COwENbaNMjm8GeiKMTqUhsHuDTiVv4PA42H1CA1cN+GYpKUZZ+t2bE0o5DdAotDw43gzJ9j/fGhQwSr1wKDzyO8dmBUJUxhj25skZ+5c4MoyDXsv0Sd6fWge6XJ9FHKDOWcSti6YFAoFAIBAIBALTQaBcpEynxCglEAgEAoFAIBBYEAgE4b4guqlvJXkY+OAHPzgoNd7wkksuGXR3UDyLS7dQzIMSdMRjivGwjMG5RqmSEchVBYKYGXV5S3p+XcqYFMb/CjCmTpeMggUyb5gi/eU/B5vG9jPHlAGsIgti/CbuuIxPYXasHHBLk28h/i6//HIkIKP1HJkDyRMLLyU5RoAnGZR39nVe3hohzJgdXYgpbublVITf7YqZhY/E6N3SMTQKj3sZdt98gldykO+UFkhAPcVWN9+VvfQPk+KZ6AoolHIip0wBLq0FMOxl/LCVL/P2CZOPCG6OTM3BkBpa+jrJUTGuXawHMt2Z5cNEizCzOaYKUHjQtvC+wkgZI1ndbV5ShFSnCEhjaPHAk0evGAoA9DpfJU0JNn/QOjTjx4mhcjj33HM9L6XznCyQBxt7KXgUYb+fIwW4+8fANp+yMs0I4UEPr46gz+CKBx3fIbYPwt5aHB/RuwCzKcregmZka0xyOVIqBnKydExFx8jJKQX0PiVfGZPCbPCpi2hf0O4ppn+JI8OYXsuUcM3XMuWZsUoJ2rNdzRYtlBhqsNb36kKpf9QzEAgEAoFAIBCYJwg0D8qaJxWLagQCgUAgEAgEAnOLQBDuc4v/hEsvTWhbRaOPW+M7IhMPWxK4HYnLW6xl+UnnKjqxseWtFGZ/zfV2cnKS7+L+Sv/vOT5Z1yaOSWTyvY4NxLrmNCnANXNFQ+cEiCTEFh/l6fDJHJ8DuLwcFuDomXm49Nm2vbyLROMRwomdlAQ5ngP3PrRsTj9jQOmtadCgVAuMuPGkZQK7AbINe4pHGbNaLd3ll+ntJGBnTUhJB4O3SbOmQ26RmE3aOt1qGiYPW/myYjOGdSIr49ZkDMy1Kx/ihFU3zJKZeZWeKoKnoGpbQ07DPRRyVpPx4011RU5WBlrJWQkMYO5EqAGE0cH8dBsnrUNdZ/HeU8ocP8ypCz886OxB53wma19DpSwLW503mpTxY4bTwwvStHumlMYGnH6oqbEo0/RBmKpAn4KxehaSHJx+0h6VYlvDNrIYOa3MbKKkB42cShpiXbdWkemSKpGSz3aNdNm/xNFgzK9lZ1O31seJEfbHcFjfenfRRPKLtWjaEg0JBAKBQCAQCATmEAE+Ieew9Cg6EAgEAoFAIBCYtwg8cN7WLCo2AgIz+jfglBkr2iRMO8pK/i4y092RsrrF3B4b1U1soaf5YOErhmV6yj7IbUUiCrP5OW8MrHF5ykaR89yCYMUfNTniqkocc4spT16tEpTOSdzilNxf9Fzl9ybnUiLGH1udqz1Zth1d2EE+Uk5wS6Ju2QELUq8J+He/+11CmpbguRV6gQ8ZhHsy2hXfSgSn9K1yEq1ZKh4kHrbyuT49AwjH7CqkygIHvWx4pNFOXcSXSE7Deb0hx4wa4cu4OMeXAW1xtGbS3HgE+vOPeSSU0oTzAGbYnrYCdLgbmtQOiVwHY0C4OTZyAkPIr1S6uDXZwZzL0nGofKyuFRqrKG6OOIyie8sJugP9Ee6A0a3sn6qjuPJViarWcR52P8cGDBo5rdI8qq3xItNDl15NLvuXOBqMM76WDfX+o31Qo+Z/fNoyNf/rGTUMBAKBQCAQCATmOQKWYGa5TJTmeT2jeoFAIBAIBAKBwJQRCMJ9yoDPbnFMaGcsYFjCPdFbvBUzSJ9ROIad32c09JZbbpl80TAD78iViN2Sze9pSo+W4uKDATJ7WJ5DkvMQjjgYfTPlHkRSOzJRZTqMdtGy2Wu5lPyQ+MvReUcT3NLSTALOSPp3i6rumr+W9anupoaU6D3kIQ+p0usRo6KDQCcz3U39lYqohJTlDjLULdOk8LCVb0rojunoRxkzOInBpKrhYp7DH7sWUks5MDFgEL6Y32ZBfLs72pfzHDoqmxgw760uQZoZ+wzgtCbJrtubQlq1Gs1k/WPSIJnxYUy8fBY72cGcxQpwZMR1CVQdRppc/9sk4fAGLuZn9AQ6ZYTpZjh8p7zxDkwKP88Lspuer9v1f9nejrGaB2pO37/EEWBMg797JOSaLOJAeQrFIm5mNC0QCAQCgUAgEJgCAqZGQbhPAecoIhAIBAKBQGBhIRCE+8Lqrxlqy0qUq4qORDjQYUm0ZBXLGrQP4cgC9LzzzrNbH+GerI+zTXprrZJDBtRn693uSPL5Gfe7++67saicZnAhgoLHnx544IGtBoyJR06Ftgpn11xWOJHLHIIPYvCTkMc//vFZWqsLi3x32EBHVYlK/klKcrxZOnZSZEo5qPRxemGQTPHDVr5DVOutsqeaCUpwKJl22GEHI8QDgtJl0c9LDIPuBJdTOpvZPUf63ej627/9WweZOoiV+6AOi+mmhI6Y5DubK5tBaVR40K3R4tMg6UZMf1VPYnM4jVZ6a7ncDfk5ktTDy2Aco33tfT/ObVqd/wxV9KQQpqFBanOr5cxYVvm2TfAslIRT8vUn3DsewHKgauOwJQ4LY3otd9RnKJwXbuJWN0ELtzlR80AgEAgEAoFAYA4RsPRL2zfnsA5RdCAw5whYMtgIe8899zB1sl545CMf6Si4Oa9VVCAQCATmEIEg3OcQ/MkXzVwXX9MhF23U30I5ybFPkIeBL3zhC7yfdxtKS3/jjTf6y0GEvykxa03hQb9019doUII+8fhuv8Swc0KNbeeGWB1EVtmTq/GOIxndKv2iJNcK5DhMtRI1nUucLEZykHlsaki3saru1uop9EITkPEr35RZxpjQlJdVGDiUDclUnLtwbDs3RJjcpheaVjrYEOJ3m0x7F4woB+S+853vdEBu6fGjKrH/Zd41MijLIBdGg9LPGJ8fxuc///mtiQ17iqsxn8RWySKN4UG3jG22xn7Ov+VWxQHLl156qYd3zTXXHJSlT3xGmJqkNX0fhG0NsdHBUQFnnnlm0/9P67BpLUuk0Vi5q8op0zBOT/HIJfaHMY+EXIEqwELNOsFLg3a2urVoLp2YumjaEg0JBAKBQCAQCATmHAGGLHNeh4lX4Be/+MXuu+9OrPOcBs2fU6HOD7MdVnjrrbe2GO+oiZ3ZJroseCwuWLqw7JH4tNNOK11fdmRfareOOuooKzjnk1kpzPO2f+tb33JUHsKkWvVYijp9ivFWdtzabMiee+7JwKsZn2LYP+HuGYrZCuzctXywHL+yZ5111qBcHfGbbrppWuR2pOm4xQEp7ZoxHNPpDpTiViCQEWg/xi3fjsDCQuDVr371c57znEF15m+Ene+gu4PiEZQbbbQRdumkk04alCbFI1iTdw4fAzHcsqOBvvzlLw+ypmTG62zD5ZZbbhChPKg4nl6YnWI/mwl8j7WRt+U076kSJE/KCq3i82U+ujDFJG/vt9xyS05QBY4//njHPPbx5FNl7H/ZUdubb77ZN3hGs2t7FEwZ+W4eVCg1CTndU8lBebvjx698h3wuPjCDrQk41ucdBUma6HXW0xQPe+21V5NtN5aa5+6SWRKsHitkPd8yMzoXaq1MM9KpAKZNajVo5HC00sw1TkzSgeVTZJuiTGdBMYiebqavYhKwrUhKedttt5Xp3//+9x9xxBFlTAovv/zyjgwVvuGGG5p3h4pJ7f30pz/dmotblepJb00GE+wzF1XlYMgpO2bGOU0OeFRzuAqkZyS9moYqcTQY82t50AaUM844wy6QyrlQVeeFftn/wICF3tKofyAQCAQCgUAgMAUEZlyMTKEOEy/CdN1Cw4wo2ZMNks9mxVFYkvnNOIFnGCdZsuhiDX1fpu8OWikPKnHpxFt8gaiisOdb8y0rWHTRnTiXTlWZtGPGLR5t+2DJxNT96quvxnEz4hnkdokZUBoJrX/turZYIPyAAw5gX4haSQjce++9relnjPyHf/iHkTFkf4n60N7Pfe5zIwuJjIHAkkIgLNwXVXdjFY899liMc9N+k7miW6MRDZttttk111xjMsG9coflKfkMOSXIJ6A60ZSHGZ+Z9ddfvwn0JZdcgqFLuv3m3Y4YmoPPf/7zXGxvvPHGzWTJsD25X6/uciOA2MK1/eQnP2l6iaFUqEh8RqkMQjmOAKlCK2k+OUynkfLJxUR1d1KXquSb3ZSm+XTpDpxsVqxKrBdM7+jAW1lO3jwAomdn46TE8StftaW8NMHl1mOnnXYqI1OY021Kl6T4EUO1w9q9yba7ZXA2szdjkPU8nzBLMXlq7Y5mlu6Y17/+9aeccsrJJ5/MqKFK6TRgnVtFjnlJrWXkI7JpKThFaUpLJhL8kjdv9Ynhjx68rbuJdUTlesXTZ+nCCMhKphLe8fBWKbsvvegoD9DcmmxbT5WYgyC1qiKbl7///e9Ftj7dRlT3XqJKGgRMT5uaRRoX71XGL6bmsgxV4sgwpteycukSqnpa8kHMK6VDcVtlWYiX+Qu1ECsfdQ4EAoFAIBAIBAKB6SCwyiqrmC91mE2oxh133IGXtwXW5BAZikYftJucrUOy4rKamE79o5TZRgD1gSWwAuK9c5NNNnnjG9/ohLCyUMPDsXO8ZlpFCrNfHOTdd7vttltrrbXKvCls2Pzyl7+89dZbLW+RD1a+DP6cWodyaT34ymjcaqut5LXMbGV+muuRZqGDYg466KDy9LhBySI+EAgEMgL3z6EILA4EuCbAcdt7lVwHaBSXCN7IqMmRzVfNId7znveg7Pfff/8LL7yw6UvBl+Doo4+2RQ6jbdtdRhKZjsZlifn9738/R6aACcepp57KzpfKt7o14yVz7NVXX/2nP/2prVtV4mRlIHKllVaqbqVLtJeZkH18idsq06DhfKJKEhBLm05/PfTQQ6tWY6YIETmCwqAstDsMcx/yD37wg1UyioqDDz4YDjq6utW89EnW9b70pozVXSpuTjw0c4899qhujX85bOUxtjqlDxOa6saa5txzz20a0ZvNnH766cZ/VvPg1wzRpr2zvOx5PTId7tRTWekRsInPSOh2ZdMTNycimJB5mhwyrG45F2ZWEa2apJwmB9jI07j49QGNS3rDlUlCUxcFRlsgKRKSYXiW3z9glikvz0VNIyAzy8o1fFKEmCx6WqsirrzySjGDHt4qcfclL0D6S3tLayNQex0B2ZaF7uzuJlrWsKngdelNmHZ0zjhyUimsXcxQmxZM3qveOV4yCaKhShwZxvRaPu6445oHfhiNjIm40a+6bEasIkEgEAgEAoFAIBAILFkE5r/Hj9G6JjHjTIabk+csMO0ftda2qv3Nb37TYTTDyMlKhyUHf605ewQ6EOCMxaSU2VBHmjm8ZT1uJY5t1/XsCDkgqth2dXva057G4o1VIkLGxNu6u7n8SU1AxMve/Gk+xc+OO+7o1DFLpMRj0O6wj2kmFpP8apKJlmlNMLL/ImwSFwITca86h70WRQcCU0YgCPcpAz6N4rwHvZTRTHx7ffKTn0SBedE3HZoPVRV23BwZc+x7zDHHsIvElRPLUwTjaLax2CunlSoCuZb8pCfh2HZEvA/DW9/6Vswm61pKUdb3aB3EtwkHaaO9tSmTCT/88MN9t3D3iGMeHj772c9us802/pr0DHKQgn1WGTXHeEopI8LLx2OXXXbRBBw6mrhEhjsdxxKyZiUZKWn3loJ4iieEFYOCUP9l+smG8Zj77LMPBTX2kHmF0qm49SwtBRi5ve5jiIqXBxQ/azh6P7M9e99+/vOf8/+jdZpjh5rZwGRrTtqwlU9sI6ci4G3yts3qvfjFL2aRbaijDrmTM7QQvhdccAHTaUPOmM/zCRYHjE1s5cMs09NoPt8dRx55pFFEP2TWS6vBSyBkmqXkGBCZSJlacWdUaV9ymv4Bw57HRjI9PoaQ4acmTI+N57e85S3J0lzHdQtE4KqP36CpW5n9BS94AbUKbQQ3guz6qQ1se2QuwTc9ANm/a1eZfthwMqbARLO/MLosOUwrDS2XuOZSGvMNbo5ogBDNNiQagR5DxzJ7+rwQDNQRlHCl/BTmTpRLTbNbT5ANmNrueQE1vSCaO70PuxG2FcAEF2LGCd0MuFQVdNQhRpEBpiDaTXYrzdKrGNh6TXnneJPw70SUx5mJiv2hzoewhSilH6rEkWFMr2VjxpNiEHI2lTpL33lA6LG866r6x2UgEAgEAoFAIBAIBAKDEFisR5GzILaCMGVq2vdkKJi/CFtgmjQKpMt8twx89atfdWlToyVSGR/hQQhYszCdmYghzqAixom3lnQCFsstJEnrBuIsnEbKastYMjysgHL8UAE7Ynk3ZRNjHfGJT3xiqLzjJ6ZX0AQLqIks08avT0gIBBYKAvG6Xyg9NUo9ESujZBuQBxFjM9TZZ5/tL5qmTIWkZjWJvskUZ7678sorI3EwXFhjvxyPLUVCjXxyNzt0dt84L8aqflmsTxHustvqfLfddlMu0r80xqdRQH3iXhneZmkCKDlUrO+oVpCcb9EWbLvttn0MzHOW0QJ0+6rk+6q4LIFWw6me6ZzYHNkRYO6t48hB8JV27shNBLe+6Mg7zq2hKo9+xf+qoZ/POcPtGYvGoUvJsY/eyYl1paFVnlHJ+BqAtA4mCn4ppf10xg+zbsp/pCoeFv3drcCgn6Bh4nOD9ojGKJc4WsDihI4HA8s/kukaIR4WlTQI07Q+2VCPJrw1F2LX1kJGFiUDbtJPhYaPHk31lQsyinQHBVvyw57i8fi6pnoRmW6iwlUDec3uPktQE97DaTVm9JKUs3QHLGmMpbQXGM2tgTz5mLsz/aChkXdGhD37dFQ0c+WTbtIskhed5KyJSQv1W3dNuKeHg2eW5iynNGP2zrSB1BaTHNm/xHFgzK9lqlO/VLp3HRKfAmbMkZDbEoFAIBAIBAKBQCAQCAQWLgLWlaayLHLYSbRa8fMNyIjHDNacEy/PBhmjamrX2mSLCPGJl29NEJELCAG+RhMFwbooG5V31J/yBlWdFq2trmM68uZbnMIbP5ailop9duvmjGMG2HixCbNR2FomuUUaU2BkDwSWDgIzWFAuHSAm2FIkWk+PEBMsdJqizCcQlChCNsU4IxSeuUirg+yyVoxeWbzKgpRHa/b5MpXZB4XZnNq7RyzuDPdK8ow1SaJ8OXwpZTdJYgw7o4m3PYDoYLSd5ts4Rtk+27QUN3Cs731TVVihrPLZ1bKt1kyllyTdIHCa8UxZtYJYKCEBZ++Mo5Erz9jckTJUOP2NZeyq05UyGo3Otxy08dAswRTBONR2PYiF1/VNiOZDjAmcaQ3qEzvcXZ8f/OAHZm9m8N3G2qUQY8neWHYKcGOUwdgcd1wmGCec+oL5PNNyHdF63GiWbzQ6h8CmDTFUaDQNTY1dTjzZAL893NfwSTVotJTFGTPWWoalzZ4rrLCCwVPeHSpsl4+9KTYlmDHbhTPoHTJUiePAmF7LJBgD3ipqNVRzZi+xUe1LOkvybXnhzWmWhIfYQCAQCAQCgUBgCSLQfyI6LDjMg5xbM2yuSaVnl8DOzHSx6chUEZZpLEXM6NhmmSg6N8guW5HNCa0Zsk2Nlp/MTZLBGbeEyeaJYUdyq42sR6RanKalCo+gfh0NsTi1S9vqxsrOosbS6aUvfanpdLMvAEg3oNw05zcXtQ/eWt66klmMGSAbqRnNUMqaVALLWznMo6z2gs6iIEcKgEgz7W01CwWCKlmQrrbaapWBjpT8HJozIw2y23GrBn7MpUyzcZu/LZpUhs8fs3RydEFTTi5d0daMQEsreoAwvUrnupFgoW1m3m2rnkXpdx2N/i4NCvPd1oDKr7HGGm4l27Kchj2QltqSy7QrRw4KMFpidGhgcKDamkbT0lZp6p/mkXWtWWaM5MPACGcntPPOOytdHZhMdRs4ziizNQG/nTaC0G/Z/WzFymTQw0VXYY3fTF8NwhFGNXaFSyjrVk+HcWjdSq9mddwsK8dYQdufnUamYcnOz5Az9nKC7gAODSPB2q/5iigzVk3LtzwyRp064L5U2LvRW4W0nCAHPDgqmdbjObIKeHy0nZz0RqruLqnL5jtzgs2fp3zTBFsYoiaOgBHpfeQ3lGS8vN9QWfok9g3265OySmNewslGFdlx6YU1hyYJMKdL8OuoYZ9bXqlmVH1STjDNUJXvz7PnGpob9ekak9fWs2WynGkGuCIxLTC1qlwYpTokC/c+jxi/Rmz5h/pISIw19puN9vbsi1S00WgH7mxUg0yUugm3eWGrfLN8U7fkxag1QRk5wXeXSXyfefxQJY4D41AFlZhEOBAIBAKBQCAQCAQCgUWPgCVG8r+HnGoyucmBTHL1bkqPuTbDNDlH41bIiMc+s5pq5bZQYzZBIuPKXDbUmuTbPNq6OLJH1v5dvGSVhSWNnazVFJfbRtyi9Bh52zTlLXOxQkAycpDSf2mcBTZbmiVz+wk0jr/LFQ3DL1N0jGFOlgKayddixeHa94kcZ0Kez+W6+OKL+XLk2J2rGYyz7enVSUvaaEs6u41KvkuWfwy00ybXfPeUU05JLj0tvuz3xZ/2MfhgqoJ1JaQPRZ7LYtdiUyxmH1tqJOT4oQJo6KHSj5+YdRSSnW3ioK0b4xeRJDg3i3NRCoNSoCUz2p16gyPfMl44D8IRRjVtkJ3umlbJNH4MHkMRb1DdMpjd5a65ijdKeR/lEraKb700YjkHtum8dLRQpcT+sw2ii/rYxz5mlZfuKt3ucDFV4ve97320OHvuuWelJ7DzxirYqpNz1ypLvqR1AwKFgRPOcmQEJo5AEO4ThzQEBgKBQCAwAwJmWqwbsN7NiRrdNe9+5tYz6lfMEsw1zVBnKGxJ3uaanA27k0Wbm1csM9iwmLfN2y0OS7LHotGBQCAQCAQCgUAgEAjMLwRQ3mxRkaQMb5PhcFm/RLjj+1KkAGJdZJOGTg7cEzVfShA280fwMe1C+LJcRsty0s3hJG4OS44+RohX5udI4TT/dzqRXcWsyJnNSoydxGjz0tnqVZw9Ox+Jdlui89SQ1QW2WnrMvomxgpDjFVNfVXXMS+CgJlVV6TyisMxlBqRottgm59x+0kkwo+5TiuYDwUFrms/O15Terl8OW+z6RdpSjVT8rHhG2fYEsJjmioAtPEaVnsOGAysyuwqaK7KOathVgPjWKX1Mvko5HNuWlyOEk65iantS7cxwyJON9ZjZJgc9Qv0HZUmG8+4a0kz+DWkIG6tcgxobvMXqrFaHriOMaioxDL7BQL/iWbDi9ozbK4/xdxocL6DGA269rKpNJJ4dhuf8+nq+PMio8JTFOERYMxVnSFdmaQ0brgh3vLmjxQbhiQdXN2aCeVM14druScGqY/aNOsb13hIa4pGnA/Ds0wt6olsLjci5RSAI97nFP0oPBAKBpYiAWZ3JpRmhWQKrjexaxEyU4YmvrM/wjF6DnP46qy74F3THmJewrLGAYRfjPIC0CcA83hTHkRJWNa2TtgXd5Kh8IBAIBAKBQCAQCAQCgcAEETAbx3xh4pqEO/4LV44CyxbcaLgPfOADiYWv6pAcuLeem2U5gObmpoPL+JQLX4xwlBi5ZkesEzLXXXfdLJBTFFlcsvAtHXnb842stDRgcbLXXnthzytGTwyKkIV4rjAhSDpeKZjc/uxnP0PxMz/PBU08oNrYdsz+VlttlYWrtpYiDfnSRBqyN5+RTeYb0686z0wuRCQh+FkuUJj9Ou4olcKXiw0ElleoUqXnncGy0HBQk+Bzh7Ic52qSZHRthXBu1CwFuNNh8k94/70IY9aEYsPAoAoyIMcU1ZHd82X86y99Wjq4xzjrHQy1DQ3GBg1NeTcJHHZUe2bZgxsMHLd6TPJy20PHEo4nAMfmGULXXHNNeVqeZw3brscNrezgCPnOrzI9HNt/1UDcN6tXtdp40wqvDjskPK3V3XSZzNjzI++Rgb8sNtB4vWSbd6Xziuz8M1ocajP6pKZmrlV+RE4Zgf/7GppyqVFcIBAIBAJLGQGb45iTsMgw9UzWGTZRMvfYZptt0qSwsstoxcr8ePoOglprMg8jzbnZJmDYzUL442O/YC1h0xx9hkNZnZnc6vBuHjYkqhQIBAKBQCAQCAQCgUAgMFcIJCtmfqWrCiRiPd1NtxDZZvhm8vZZlonZonIXwwrb2aplfAozzbYcyGx7ToDdS6Qbr805UoDhCHYYF1+y7SkBytIpUIg5psGXXXZZmUuYlwneZkq2PSVA4TE8F05uUqpck7rkVDq5c2k96w4/TrGBW8S9zlgivpuQkg9NWTSfpw58OlKVoiLLMe3nBIY6hD1TZtvzXYTp5ptvPtRZoIhv2adsUGybRVIboIaTL/jchFkK2GZBeWNPgDXULBVBLCN6WiIBvdNKWNuvjE2WgNcjo0ig/A07qpnqO26BMRbdTGbbs0DPTtpjYbdEjvQAethZwduEkdn2fNcDlerPu4sBnONbA4Zf8o901VVXtSbw9qDbs1bFD6QEjO49OF4sdBKZbc951er444+nOjLgzz777BwfgfmDQBDu86cvoiaBwP9CgLLdd+V/RS2ciwVd+enATCl9ySWX+HZusMEGmHfHrZiy24zm8J/Wmeh0arWYSqHAYCPAVoIFgYmIn2nc4YcfzmbB3HExtTTaEggEAoFAIBAIBAKBQCAwGwgkPzCOGOXYoZSfCPfsTybdSvx7ZeSeDmdiANt6dBMCzhy1lJzDSXhJ3zNv534ay8YONycrAzjE5LekSbjzo8JYp0ycw6kgrDS+L0dONsAndRKIYG2VjGHkchqt3Hq3jNTGQZ5nHvWoR1lhSZwJd248+eoUg88thZRhBk+tx3KWacowoFw2dSQ5DQNq7vUH/VQpp8wBkTyZNH8MzHU6H0G8kQhoO3o3743O2Sce4DT8kEMOMWKtpJpaigkWx6uPttvk0UHr86tubGDbKQCqooca1R4lzyYMmcxXcvKlhbn20pBBIEVasAtQcQ16Tp1JRpcmvQOQs5xBAXs46N5Uw3aTZhpjlTqNjsFubHcx+OlQASoHT30zvRjxPOQIqGd1pEFr+oicMgIPnHJ5UVwgEAj0RGBBc4ILuvI9O2j8ZL73vtB+44sKCa0IPOhBD2L/0jSBaU0ckYFAIBAIBAKBQCAQCAQCgUCJgHOVll12WQ4lGLmXfh5cMqmuvMSY1SMQsWmMprOQ5E8mEfc5MgcY2+ZwFUhOnBO9m24lKp8pSSt3n9I4N5U9LGffGL3ywNWOgljOmjM7rRHfPYhVrOo27CW7bE4w+MJmCMxxjUVQJcFRqH5VZOvliiuu2EF2A82mgUzcp+Nq0bVN0/4sHGUJnD7G9SkLj6ACej9LqAK8oNhMUEXmS8tkBHq+TIFT7/tVkdWlrkF/t+6TqFKOf6kgDLKeyp7Ex5fZKiFt4EBzN4dETg9qCexdlrh8siQYalRff/31snhIOxploFJW2STtiZCYoigpzBDluT7NgD0HLNM5/Jlx8wH5dEtGiBdFU23G8I5wjmJSEd/5zneobYx2ZmTNQnOMFwLnP/qLvT+vNTk+AvMBgSDc50MvRB0CgUAgEAgEAoFAIBD4vwiccsop5uIlHNwivelNbypjIhwILAUEbP12op117C9+8QumWzgmVAt/pgui7QiL0k2Bs0PyUpzr2GyAqS2s7abDoUwKN36QGfxmabxYTM2ncC40AoHA1BBgt45w9yLKhDunyayYm8wv/h056MF3N9moqqSM/pbOZ8qaP/7xjy8vy3CSgPvLkbfffrvwyiuvnGNaA8hlbk8kLgn3joIIURbCvSyrVfLIkayG0Yt2b6MUuchInh6bDjr6yJ+xIYTkhjBVdsnXdrdkp+P2J9wT3V8qQirhFBhPe9rTqkiXEC7fnGUCFDCFRBmTwnBjz+6ubwTWdUyv8djbViNo5LLN1rl0J42htvHC3SxzTj9OAEcs+4w0MY9Dkjkd9P/8n/9TqjpmHAzlqP7Wt77Vp6zSYT3ljbHEfZDNEx3NTOqc9Hh2JEu30tGpzoN1EGu5e0BZhitjfy+WlDJVmAqtu9+ZzNPicD0fhPuM4E8/QRDu08c8SgwEAoFAIBAIBAKBQKAdARtImT5x+VretnSfAuFuv3y5dd3ajw/ZshpLJBw4zJOOtuB3uFne1p1qhYKfJ9WbsRoo9UQlpJSYjpyFUwjEQb50CnoOL4gAWgH/mKva6iEh341AILDQEWCczrFD4s1TW774xS8KNI3W2UpzHePBZxWb9rD6oPAKgqId9D0dyj1Ieh86CCo5mhgELCfmbpXvHJdDFTRI8jjxDNjR+u9///u5mGc67cepJrj8KCqe8IQn9BQ+VEPS25XJf7dwh992JyjvJj0BNXAZWYadGuVXxqQwC+tBCmMeSzbaaKNmlsnGcFzO5L8pEwW8//77p3gqAYcKmAHmmGb6ScVgw5OLoRnP1krDg7bA3oVyf8NQgyE9ETOWVbYuPXH+Mnwp46twUmNUT1yVJl/mo1O9UpIiId3i9VQgm7cL969wapQdJLmUCMwTBIJwnycdEdUIBAKBQCAQCAQCgUDg//vMZz5Tse1ASfQcC6xZBYhZPZeduQgHDp911ln5cukEAof50Nec1W633XYzHkE2H6oadQgEAoHFjQDr0WWWWYbN+F133cX+VGP5jvC3cuCeQBCJcJcgEe6Jpk+W7+OjlNhJnr5Lw9hWsUxiB3lLb00/nUhbBNhNO50V9WwfAL83frYxKR3IGF4U/GRrwiM2gUyAu8V2WxBXeZPupGltXSVrXs65btXoxXE3K5ZdrPCWoxeMnKOOOmq0/QdN4R0xeYjm7SCDEusgncjYXJaScB+UvjU+FTcUR5+ysHopN6W1ClfDnjMWD6+TGxzB6ujUTLiz3P/EJz7BeH/ttdfO8vtXODUqpc/ZIzAfEJjh1TMfqhh1CAQCgUAgEAgEAoFAYIkgcPnll7e2VPxsE+6t5UZkIDAnCBx77LE9165zUr0oNBAIBJYOAthAXly+/OUvY89Rlph3zh+44FhhhRWaIDB7P/nkk5OzdXeTA/dB/mSa2btjkl/pD3zgA5MS2F3cOHfzKamVkIc85CEoxcQqsv2nnICV0yZZXjMiPvHEE2d0mFMJ7L7k3UWCGZnupqFDh9jkQQtzrfLcfXSkrG7xpVPFTPnygAMO6C5Ri/xQ7V+479dMnJpAX0Lr4y5F1Dve8Y5msp4xBkNK6UDUQYeCpgSGU3ITNI4aIBWX/fv3qWR64mzCOPfcc/uk75mGrx5DnYUNx0RpiDoTwpHF1HXlIQr9K5waxUF8zwpINugJ7S8hUvZBIAj3PihFmkAgEAgEAoFAIBAIBGYdAct4ll+txTAB4yh5KCOsVjkRGQjMfwRYk+G2ynoiYrbaaiu0FyuwMj7CgUAgEAhMAQE0upcSUox7t2TejvIufUnnOmDhcYIMtzGSj33sY2Vxa1L8eHLz7TTUXNz8DLC07eP+i58Qv3XWWYfrDA7EUL0HH3ww39Yz2u/3b3VytWGbYHeWnt63kxCU6EorraS2TtfsT7izta++a91VmpO76QtL/XDppZd2VOC/Wfn7fK/7KI9DuP/xH/+xh0Vx/Bk+97nP7SiRistdtu2ydCTrvsWQ374EZdnB2ZGSRyYD2PkH+O5ZeuLy0akf+9jHNt54Y5UR8Lf0J+MyncHABVNHbdOt5BCyJOtnzNLTAc6MciJBNwL3774ddwOBQCAQCAQCgUAgEAgEpoOAg6rs520ty4KECVjrrYgMBBYZAuy88pF3qWn77LPPU57yFOxV9wlpiwyHaE4gEAjMEwSSu3ae2dGmyXq96cA9VRVZnOh1vDwWDKvlDMahiLCOJiebeke2dqRxyw4h/PV3vvOd7mQj3026/45NSE3+2vTGiakAbC2UC3V+w0HH5r0PvdgqpDUy0bhoVp+V1gQimfo6MmTQ3dZ4LtfFc0DX32hdET/96U9bpc2fSN5yLuj8bbjhhmpLBZ5SnX322WNWPnVQOhShQ1RKMObp4qkstvsdBbnFnR29Gp2Z8PLLL2+0GzzJon9QRgPME+d8gkEJmvEbbLCBSF5l/GVkwNqdjf+qq65apkzqHB727AAo46uwzRbphPZ89uyMTygJs/d+qKq3xC+DcF/iAyCaHwgEAvMUAbtWnWCT1N3DVrF/XpODLbbYYlj50vcvYgThCzqLqaeOS7O0Bd2QqPycIFD5k6mO+aruzkkNWwu1JdaYdzTcmBtUkxx/W0sRyeZIQYz7KjZ2UPoUjx9BechoGe+Usw6OoFtO912aEhsUnCTZUf9uCbNxV4+AS60ca5lc2c5GKX1kggX+PcGp/JCyaOvebJ4qMGYXwIpdG7qnKr1P6+zmNsAmcl5ZGq5cRQ9bDQPb8AayvIbiCN1tSY8PgkD32r4PIJEmEFhkCCTSnOb7jjvuSHbKgwh3DU++3VGEZssuJ2XeTlTyC//pT3+6wy2G9xgyFL3LeHyWeoE7HZLT0aytRVx77bVVvM8Qo2k1r+LzJc49qSV6fiZyxu4AEFij+zqcfvrpg1Kef/75wxbqTFTsLbEHHXRQn3c1nzZHH3108k8yqBrzIf7BD37wszp/qY/8Tame8YxnjFnt1772tSRceeWVrc7lk3AIX3HFFcIOABinuNVXX50jeLb5+PFBcijJDGy27U9/+tOlwVwnlj8x44NyGdsY86E+u+noVO8T2ikuejR/zTXX5KKnLALdz9QAHZ+aX94qw7RZsvN25TWV4tMT2jHjpUJIHH0pJ8KzgcADZ0NoyAwEFi4CdpxdeOGFa6yxRusxOM12DZu+KSFiKgROPfVUzMgUDkavyp1vl3ZiWjbP6HOwtdrNvA5PP+yww0wdNt100zKLdXW3xr5MXIabRZR3l3LY6NVxY9KOSxnApdx2NmtpT2gCAcl4+OGHb7vtthkT62cDzKI0x+TAt7/97VNOOSVfsgLed99982UOvOtd70K85su99tpr2WWXtYpgpSUST5dvCZC54447phjnO1molHetK6yor776akZ85crfe+ZlL3sZTd7jHve4Mn0Km/2X57Iy3nnb297meXE6q+VKNv561KMexbxo++23z6tTywkONFUpybGL2Vplm222UVazlBRj/WyJ4hAqi5lyb/sDHvAAyxK0xUYbbVSuFUfDQeU/9KEPKYXhnrV3KtoWaRuWN998c+v8QdVrxpt+lEZeNjK/+93vbiaDvB3cFmD5FgyrXe2UH+eddx73RKXxnQWkg/t4DuU8t9UTwnve857cBYQz8mrW/8Ybb7z44otz0cwtd95553RZDUIL42TA9fGPf/y0005LfYeiwgTl7FXAytMxYiIrwheVnIei+luUlhnH7ALctKFlqVz6HHBwnwG/9dZbG4plWVX43nvvNWnxIGTiSdeDd6eddurOWMlJl94A55xzDkIq0zfwZ0f5hje8oTV9ikT0U8XZ/uLtUSqTPCMeRr3AFDFtih8kRLn61GgBRU7DD4OHS950PGCO7xlIVSoTOywxEStlZIQDgQWEAN6ctxMPqc+o56LDXbKUjLWx7emR7KDmh22+o1wU/d3vftercpA/7hNOOMFn4jWveU3yDT1sEX3S+3SiCM1JfH2a6b2UkluYkn+EiZe/yYbXY6sClcIy6SxbJw/NUvrH+Jb5gpgPQO/1r399ldFn1xcKfTyUwa9vqBkac2+fLS2COaq6kpwvfSl2331332VzMGb+OX7xBUwIk5LJC9/0sk8DV1ttNZ8bcw/m4RwntmZxy+cJ9Sxxa4KekfQEPtAGp8mVB7n19FRdSZppRjISF37zm99skNDK8H2UPBRVxXF3YxrgkWdxVd3qvsxHpxobUgKtSk/mlltu6Uk3RM0qW0u3lk/z/3K9AHzcveW/Hnn5y19eiXXJg3z5eDYTRMykEAjCfVJIhpxFggAugJ9c6sGehPuw6RcJTLPZjM9//vOMIIJw94k1mfN3BLCbeVmDGtgMcyrCHfHkN0IRkSUQCAQmjkDlMRPfhyxDryPZU1n4XOsEJGCzaLYqON8cX/LIOVIAq5iluUxLZTxjmTenlzLHV3wuam/XXXe15s+Jc+D/Z++/A7U7qrrh/xF8REUFFBUfRLCAFEWaQECaIL2FmkDoPRAgEHrvLQFCCwRI6L13pIM0EVAEqQoCCojwoCD6Wt+PWa/rN7/Z5ezrOtc597nPva4/zpk9e+p3Zk/5rjVrpOaHwbT0t8PsiF1EaqYZUb7+9a/jzW1ZMwUOc6vNAObR/tyOSF5K3gZAN2N+/WykGRtpX4UbUEzBttKFDANGUjE/2ydZix6FVOyubBFlBgeGBe5973sPxZYGWxICP7vxhz/84bltyzKMOhjr7Apgo2WH2QV2uLjVtCKYedzjHpdh7KBsF13ZZ6OVnuEAPkj9nv70p5944omhvdWGUZ1W7WtITAhsV9wWspVkdJ1QdViDJV+Bc5vLjBsr0SaeIaWT/t0thdtsAltudgyGinUIo+c85zlEIPe9730JTrIkrQPfpId3epGaXqfV/TRBG3hLt0akgNltgCniEa4Qa0ltSA3oyVQmTznllNEDH76R/zay+2d/ZqMu8biisCuG5kMAvelNb+r8PWpo1fcjl7LbH+Y+jJI+er7vIh85yM/Qf61PuQuBgw4BvLlPO8aieQ6d4M1IhcBlvALttdlbQEnTibR9ZRh/Yul2GW+oNFa8/e1vJ29LIeVO4OxzxvERZpPVhQXqzMWZqrvd7W74axNra/rmEpe4BHVd1KTDtQauThhgsjbYGsrw8qFDnQlu3yFNk6kTqOYjdLAxzfRH05mSgcn0JS95iY0/SLtRa8t8mTgz2x5zzDGqiWk1Vluztc0hBS2CihXMqob09A/+4A/2N+Hu5luzqopbNC4k3CFGdKGBiGmpBZBeaJoEX5fQ09jK1530/IWrqYw+dGgmfcCa8+53v7u2aMVmplTrAbJnspNWkoSwZumF/53udCfLJ/L4NlmrBR1eOU1zlDnaV1u6MezWupQSzNc6oa9mGAXLbwFMuOVjt3LzEbVhrMb1QGsY6hRXv/rV8xWg9EaDFetSbnw1IuUrDm2EFrjlLW8ZjdW+KvfGEfj/9eaNJ10JFgKFQCFQCKyNgLOKVi3rRV8e1ypzvSwqViFQCGwWAavtzoSUq5NsMCygqSpnXlS0Rgn3DLALDkOT6ytbrfZhptT6bEuoV9sptXunLiR20i6XkLXzj0fRbY9p+3ZsexsYmXie85ynUwGmcj6q4N9G5EZuPvvZz3bw1iaqe7XkEQ2KOBjlOjP6y1/+cnS8XLpjwhmgdRi6W/mKV7ZhqT+eIZN6Dh9n8lJb0N7exq/rSBkxHbaa2AHQLdQtyIirOqjML2fbV01c+G02AVMA88XT94TRS4l8uuIR9tj9thrlbQBfB7ZrXq+8DU9Nnhyl9Wnd9vkkQ8aBjspxQqUVvbRRWretuF5B4/5iF7tY6+8IHVnClkqdviYcmW35jP5mm6zu1/FW1OSpE66nQNCmXO5C4MAigDLWjUMqtuXgKUB8XNj27VzzOKwyNW0zo6GJUBANh49D8ykYKbKvDwFnzn30ox+9o9dd4ByJk01wj3/840k90ZFGGIeNPvWpT7ENYkpyrJbMuy188KoWMOhOPCMR4AUveEGjCs1lQCm5VRDzLw9+8IPbWJtyG8MNyKQR6G8/yWZTooYpUId5jVWHKVZliDyJCoBv3HOlJ3LfzZwcZgH6BCprBpEdclMZzNGbqtF+SkeXxnQD0ERDkq1LUzXILm2J6AuynLjoRS+6/VrrnNalVn2axtJRXvho/RBvbj7VjlZrBEKdRUeaEyQBNBJou1N+NxSQGJlDXYlsSUa/QdkI4FctHh4cLR5nTIfq7Zmaz/ke97gHS1YmUzIb3LqIcucjrlUonxNOOCHDh8Pq0UKFVMlZQ/oTFHEIzqnS6/9ERCQKTOUU4d6BthOPRbjvBKqVZiFQCBQChUAhUAgUAisgYAXcmtGwW4tDoAxotIQ7DppOWafku0I2Y0Fty2MbQ0PZ0dQMYjuRqjS0lcNfGBuVjm2Xgt0RXs9mu1WsRpTbJ8zsnz/60Y9GsggCxHerfR/+dHCyPEErd1l762R9S7jTI0NGZCwOalZHHXVUKCXRyrc9pkmdAfDOKABbrJVwQI+iO1u2XfFCO8mGDUqZvg2PjRA94vSZcuAjbIpwKBlglHCPvVmGaY8wgwJtka841AupwTKPzWRrLkZj2T0irEdPKLcprO3GoawqNoZhdEVMt36eWdt4p4oopcLw32YTwLlj23VyHV4Hw1i13Qyq6AC74iyPjS4tuY5tV3jBFFXJBZBCm0jGHXUk2/4bv/EbKmhLjONuQzoVTmyD4k9P3aBj26ncktKphcb1ZVG0z/6J5UExMNyU0ZGGxEUd2x5qudTev/SlL7XDkXakgehbzuhTDucnqA22pBKaaWYEmEqn/AuBPYiAedkgj3Sjh4ukmy8hwj2MhmNg50Ou8RZLaMLCUfqEDVBtCgZ8xOWoqmwbbPtuM6CZxSEYWvx+kaBZjNEPBHSnURtvDbAUfXD0wnP4ZTFQgTTlDXGd5nsG2L7DGV9U6Tve8Q4DWpjPwu+jL9mXM26HIa+VjvJkpRxPpAxBQdu43UnEpYycdRQvjgnCZ6Hkcvv1PbhSILPRHyyWTHbUNdrCm/3NVusZN2vTSTcBlbxIX8yhbScUwOdDXWN4/k+39DmbQ3V4Cye/TE2DOrvgTOd62vfYcLO5jjF6Ci1y0S2f8pSnEH4rgM2CX+ZuLLK+pQQzzJ1pJusckjk6Fta9GcUaw4ROm2fqBuMMWY6NIFCE+0Zg3M+J2E7YMNtI0yCzgDZBMmLlsJijamZNelXdfSw2uoRmlGjCyKwlO4mxjTQbVQmTU9tW5ARuRNmCMcNqG9MJ/9t0aIcZ1+xgFcBWRFJ51syix6BDgCwLg6OdRms0s03EPCokLoB5OAsmEunOth35vHPBYe00z5UbdnNrl+UPx5LwttzGUFsvmy4jtcWZeX25xlNkpEjgslVWfQ2BVjCAhlQz2qUtmGpqL+JWbIIJwORkbZFwRUigQQyVY51kCHaUOBgWTck6WCwI2jTDrd2xBprelIC2gF43G7Voi9I1va0dSTLQ5EUDwr5UdGVrSZxQLtAKjnTFekUVWvu8S2o3LLn+o911YHAN3/KxPLK7th7K1aHSKqoqh0k1gCuGAF30FsnulUfTGPIIUGGsAMujz+cjNHQzpRomG0npPADRgnE8zcdCjUVv1Ce5sTD255Qmol+ZpEGaZWjj6j86T1Bg1pcBrGU6XkB41YRqZxFP53EcVb+Vvi9LG5Gc6zBRkcxlJYfKWuNCQEkkaHUbC9xIBA0kO3SbjIbJ6jN2FN1bTaar62aoAcORPqn3RqUyhRZzfUClmNnV7X3+SMxYVetslAeNbMCBYfsq0mkTAWyMRZgIn5XS0kgFUeY44xBXAaRmNNDTDJJGg+HK3pCroX3CvjWp6XuymOokM9nVq4MOAQdm2zIbHkMn2k7Dh98aLbGp2yyBZRfqJ3d2YFqqGvXZMnRRPKRbS4v7apxXzTFE96YHZOeZdaE+Y2oemgLPABwoOZpBkvI54w6GmZrZ+ceHYDGA62QoI1MwRBgKLA/CR+5mmXxrarOnyhHSQKFe7RF4k44hSPTlOOAxsYot30oI4VSvsUi+ZhCtqY1S9oAqNXdP2fnJonLYerWEuwGcbld7LpuPgTSjQCYVLSHTbVNtqGgW59RmoINzGMmVgopr7iHamfg2HcaxSMEgaWlh3jGJdAuSLgskUXwIpgyfQL4FbPeBbLMJoNra4bEExQHhsJAjMkVYU3DzOWQB7MDZu4tPkichTfsV8NEBaC/GUlbZtLgUMvoSh4PtzA4kN2cBQEfexJFxsQMU0pOswafnKw5wta1vfW6t6/h5hjEJppuDKIvZ99ZHB6YQF5t2H7INeWvkylafhMaU1Ebp3CCSglk1/enQLRE1ZfhyFAJ7HIFOSjdTWsv11qDKMKThYj6AKAb/qTDWqwYB04HZ0LrdvGNPLdNRoxZLim1RPSzkjI/9oEEP1Yi/trq2S6XZrVS5E2/nskzHRIA6NLIptk2WWdKYppoWCcMlsUEvI4bDYR2/zrN7NLa3w3v71jBLMd+v9Qx3UPCGzeGrLX1AQfHZT41sWEyyhlDtq7JapNv4m4i7BDvRafd21Uf4T/WZVZMaDY/b9Rt9xdMUYIdFdSCnqqmQQ382VbS4vmEHrTlMJRYMOkbHNWXE7fRqm0rTur5koWKBbdLXN+SlDJl+59A/1c5pM8VDpNgJ2lHquvr8sOt2cWceY6FoU9z1ky6KqdkCwNrV9t8ChgkmmSqtPUKuTLooHi07zd32nrqlKGptfLAGjh29reiOdpVheQ5Nn0U0waEJTdU6EDCaWCvbDJuB7NN8sT5Up2yQQegzWw6L6faKBgt64ZmjMs4SqQkjHR92EO72wFbwVvl2X6hGOyjfv6NnIWozYCXsmQ7S06k0awirfJlaDVhe2EIIbHdkM4D3t5E28Nk52Nh7hcGPdDIRhCNpv8nPwCSwcYoKmJ2Jw24EqhFYROxzuFHzftyyniLctwyvnHBQZWOxMdR+HklqkeFMUFwjFnnN/LWZBxdzgeBCTxtP8Sws0BHz2pRGu4AxU7B24WmyNz+ZnDgQfM4pM1DbWmJFRpja/Zj/ozhpYrYgAA7a0dSFFOioHOsGORrfCVGhrVT2VCSlFhZp+lYZEu1h0xvi8SMWZF4pmCbArkbZ7PbjEi09QeGzLuFWsCTcF9YuU0iHZZA7WPQKUKRn62DBTdOTaoSneVe9QoFFh7GCpClGoG1Kc5ytPWIWSGqgUQ1BEJHSI3diBw5w3dWjbix9bILsqDxMcakBCORj6QxDmNhRm93tiq2t9Sstopz6Fam7/pzC/zauzy2l9zINYPWH4KZ1Y/VNskyRhEeo4fT1fEtnHVj1HRpFl+AC1lg/oR4sfHXd6MbQ8HGBQoIUGYIJsspRfl+xLKw52tYhD7C+8fkIEP5ahFIPq5EShLyPC/Gh9wLcUTsaNxk9MPeNIwQVQGsax3RUBbD+0B+koGeCK4gwfcwrbY0rSVYoG05zS0f5EXMiGnD4SFMtRrc3WQwO3xryBaqkPqpMWgBnBTCItUIC/spj+yR3nV+j60KKqtvoezMrqjavch+MCOj8Toa2JUdSxyMGEG3ablxJfXzIQ2WWNvoOuVHbnblnH2b7zRre9Wry13ZLKUwo+o2WynCUk44RxhbIvI9WbgP7ynKo9BGZSXPujmCm9STcU1k4XpnUlKpNzSlaX1Oy4V5Z6rQBtnRbtxiUMpiRuR15NJn50dTZUq5a0MCVUaYc5nSy+bwbVjAjPKIzw5s6082hdikKNaTgXPKtagIq3/LXUtSclS3DOLttANxRXUhq17rE1FIqS7KqY5tNYHnW8sI+KBxBlsE8awWrU1nthCcKwHcXizc9x5yYgTnsgdsOYILAv+sArU5ZG37UrWly+SqAJYevRvtmm+qlJg7WhyO6CatNZ2hoXnOb4jOMZV66OfSW9hED1R6H98lYf1pgWK1lMPMjriEfO4elgiVN+1npt2a0Llg9FgKFwAYRsP7ccgm6weyGSaHw2k3EMMCoj1UupZPRVzvhaYtnM2JHObOLsTuQdbutXqMk9k1+a0TcT1EsKqyC7FLXq5S+YdG7XtxVY+kPtJpWioW8ahe9K8UdDWxpwX/Gnkwby+oCS+7Xes67tYVDsZs9FzufY73tECjCvQOkHscRwLE65GUExD3lvI6ns0m2QxCn5dw9YsRwgjYDNjD2WjHm8qQRhlPgiXQ2Q0dIHLplvfSt/lvO3VsULaKKYbUc2gRGnbu+yRZdUkGiCemH3LdlQq0i01smAntFM842qT2nRjjpWk47AaJUm1LRbUvsE/hTB3NxRzDUiP7T0h75Mx/eNgkyNrEIZZRcxLdvQfGrLBIz1AlH0m28VEd9wYV1jRN2lgs4Pnv4YXT6fTZ4yGVb+lz62C6qpjKQglJ3atL+X1g86w/VT3UqYgmSXptY2zx6XhEY3alx6c1JnNwlKD88oDLgTO0DkSNtsqNNr8k0pXQAGwqAotjI2YzpQuTJVieUhTHX/PUNihKxm812XLV2bZFCAZB6vh473PPzJN21p42CoW5VE52tGPafUV8gEJ9oUOXHxq6n/hBFwkPZr/qgJEXrYdWFXbDP9Blx0EFV6xJkMNoRie/zbLmVyFF2KoLq9dcM7dvhj6lvIUq3ZtIiPliippybxUWX6Bj6fNfcGXHGQd0VR+D6R/0ZsS6k6ut+vkqfJGC1svIg5ZlyVjxNb6jJBIlDEFsMPuT9VPQxse1WSBLMkNgQTUa0oDs5RpDROfBcltE+nDjigGRBQhE1GVgoePqyHEOJ4UjBsDBe6d5+bSJIRrHkaEkU3VI6eiweHMLKHFVro6TbWsqogg2Eap4LQUeqrM8KAjGoGhY0q8MrkEkyUb0ggBQDfkvoZOLl2B8ImMvaihgSY2IKT7NAS7gboHSJrp+30XfObdYwyGf6Cpmzc3pa3GPuWsIda6l7h+gxg6Wjo/BEx623hLsxPD//iEVwazA3emciLZno02651KHmUR76yejJaabPvCNmqwyDZ0x3OkzTvmWjSvgYZ5TKHJ0BphxMxCwn3PP4oHZJsXGkbMU1nBHMAkgHE2Lmbu20c4S79Y8Re6rpswxrOLbTBBZ77al/E9BwTaVIpqQk3D2SfAThrnUM1FlmbdpS1elPP52OfNsV89XQYdnWsu0RwCLByq0tqkNpSbi3jSh8J1Xi0xmlaTO1qGs/Mf3EBNoG4FYvXdEclP5x7iofW4d1FJUXn3l6wsRGIB/LUQgUAoXAgUIAw0CjxX7Eamq0DHZ/MaKmaH80WHluiQCKgDqmPdrMtmjLRA6dAGZY+lt29KlfeOjU/dCp6ekOnapWTbeDgI2NpTwqKtl2qdnuUkfFYSGXTWNt+vg1VC91aXMb/eXgmPBKKHJaezyD3hLFKp+Im/qbPQkur1WN8dbyHT3d7uftSVjPoLtt7qTylly2wNLBhTmChDRvC4MnRTXifIOzjlf2nPxtJzDgsR9m5oK2bDDsGFVuP1pObVKteyY8KlnxKINDpi0hBpPmLKbAJhyD3KY2dNtiYdtRKuDKkhNsqgveDZhdFBXBxsIk2XYBMKemPaqyOLtOgw85q3jJtgvMKAc+kQO1momLbmOGK/cL9tkr+KAOAe6Id3cWadj0BN3Mp+BbcYvJtkuEYq/tKPBV0yNOJDCPXMKdagKr1i7LH44wcdvtz+OVLTRHCpahrQtRbaMslvVVNic5wE4SgGDtEl/p0UfkwwG+Y5iWI0MBwHxqNv8YLkRtsO0C6xLKRlJF8xRdPowuJDD1Aa/gH8BOLYN8cYKh15Ntj1g6BtV+2m2r0lJIN13CGRdpZqYIa/D6JB0syDP7crQ/x2Kw/JgMhdYRnQRI51ESPx3GwOLro4afbDt/boIljmjQ/w76Pz9UphEm2HZ+vnrgA8Qnpm8j+nM4UjAyJ6McNtPX9D8J/Pd/fLem15GCbY90UF0EWpbpM4qrlBxl4ZPxKSXbLrphzRBEmOHb/O8M/tf/8pmgMxzOTbadp3rJ16BB9NgV6bRI9Wc/IOCzIhBqa5KmLcKTyrPxuQ3QhW9f7ahbL23Tb/tq6+/8So5R/M3sndZ5G7j9LsIfw94GMJm2j+FuP38+rRiAypJJM3/xzQLZxoYSru+utSczTHlLH6xiu8ywjCEUNPJ0P6NfeyLKFOyM4JaJC2CZlLOPR7FICCKijFqelHwx9foNpy0LbLRvZTYRPf62tsj5wKR9u1m3UX0n2PZtNoF1SzucmlCcG+iazyPJVouGGTa6WShC5iu9fVQ5w5TXKZFklKFjStmz87e8zLjZw8NBUuWVKdJiwAbeFGnhlIE7R/chm6PbvpqBaQYImT/zXb7qHKT+juSnpy0Dq7L5WI5CoBAoBA4gAqFzZpgKuzFdSQyb9n3+Ou26fNDuEqnHQMCWxwQdfEJhsiUCaAGac7Q8c3e5ZZQKcNAhUBruB12THZgC2yjioYZjASKSChX2ioJnq/pKYQqz3JorNY1h1hBbo0qatKsszZF9lNPpGmcl7cPTOGl62tsEB5f7zHxl84ksptLe8sg2SIjdDJMOZDRFIdqsG1cVpM9lb0/XfsjX491oItNjpZVMlpCFGTqwirhUuu3DVze84Q0pCOcOXAC7R7y2E1jDDTbVLYpLfrBF1mdqhPxx8iB9OKiZ2zfmft6OFFmJ7KNf3AYLN8KUsWm6xlok3w6bPramo7xMsLpY7Iw+6lijdl06yE0MDsKdHmKn8WdTjYOOBRaLKxQcgDCqAYGjwTjbltPLbiVPXV7zj2gaTFkyvPOBh2/1q1GVMfQcPkvDDVXkhonM+GgstpuGX5ZvH+dFt45KuD48k0L3SjcGuF16cAHtW70RiWzocKRAV/eKQRim9HQqjJhvBGuAMkDboaSx5BFXt6fKijAaaq2i1DE7w+5EmtKxIVKjOciIB2KrFQLJQmmRm8YQ6bQ4GIsISKIM7V+JO+pBd9VI2DGAEUwd0RDODaS8IaMbIdl2oJVPYEkyRyvEq2HfUCmfNvEAOn74zWZq5Th4EfBldf02jli1NSJpJjdKH9MWNnDYqTLADjk6FdeUYw2z06VbVpqYfBiGD2Y5v+4M0PmMngFvKemM2DloIhvSzSBEa8YTu5ouwHqPZGytcoA1hlXQkqTQ5a0JqakoxliCc9NNBuAOoWNnTybV24XsmoaEppvsMrV2ZBtGzGDbdygAc1jbT2eYwjabwODfpkkBwozT+oy6TT1EGj66jrLp8Gzj+kBGBeFtmHBPHXfrxFEkuF1cvdoAwvgYLl4/1w2sE7oww8cOgS6XYfhVfWCFwHIsbNWIFb4QKAQKgY0jQMvHCTBiaVs5blbgiBhtTOxzCRTpnzmDbrE9I6TceJH2a4J20Nj24Ymr/VrfNerldKbeqPuZu6miWvLRtVojnYpysCBQGu4HS0sd4HIaC+i/jBYCIY4RY3G1fUsjtTMvxbwMdgBtNLpzFjeMiiIR2nSG9LG3cafE6AnoeNUqLgmPPx1yc5FL8Kpd4dsCrOG2D5egvRP2fzQ6xHCaVJVbjbwupE2duR+GozpHNrGdfZg4vG8B0aUTj+hm1L9hvX07yoALQOcaPxjEBA7XFXbIzVFqA4mJ3rXNa3d3w6anFKyyYai9LQB3cEyEMZ1/97hG7boU0DcILOZclLZ9RUrhKEbS69H9Wvu2bWBur1SWufDOf/kjYUmr+Lk8YoTU7Ue7RGjKB2O7appteIZT0MetT7jVOviyLRurjetLxDWwLN8p52YYvQJv0h57p6XuWAORFZrMik33c5aiJbLxF7rTqOqEpGhVDEu4kWGk0wnNKnCQdlDJn9IS1Xt1vynrH/FdxLcZhAsRBVauTZ+bjMepiGLbO1j2zWNnT0a9CJ7JY9qfExJtfQ3Ro0d22jA74e4GmSnjVLLutlut8vWqBRuK67ZMgeiOiIJEzekTh6iM8x3bvkaamanbpNO9kqNDbyZunMrKAATD4W6ti5CD5uTlbZf48qZZuzpZvCmHiWlq9TUVZaH/2mUOlNaOHt3YxNSWcwbqmVdtCty01DufeOz8W9NJAtC9sKQktDY+WHmaptv1WCe4atPvEFhJjt6mM+O2nOjkQzOB61UhUAgUAjuHAN0advnsncksnTLnsDVgxIO1Ouoydty2HjQFNy563Lka7dmUqTx2y789W9QDVTB0BMuHbgULtt0ydahrdaDKVvnuBAKl4b4TqO7DNFu7KF31kL8INYQRci13Vh3bLkqcpG5Vobt0THV+qVsdb0e5xXg1OjbFFrrdbwg8r3xkDt7SuktX1PlHyqoov5maio6VpqRP4W5KUTq012cmfkRMWwxCe49muKm6QLKlNQWeMmYSEhEEIqXjSJZu+FSyWsHpB3u8TG3Y9Mj65OvJGNSaaJcSljTjnpC2IqPuNWo3TAeBZS2FtWzPTGAx9JnkLLbspRpOyl0vHeY14zPEZybw8FXi3L3KVuv8V31sF0k29hS9NS65iJ08xmrV1Gjb6UjY9qn+E6YG9My87hW54DTirW99a0dqfMit6fbIHYPQFpKNCD1Kd0JSt1RUW9SdHkZC+DdVR73XGZEQV7SlCndI3eLbRLiTxzDThGuj32on4OAF4dwwVvnsJwR8aMOu2ypQT1UWTc/gw9TbKf+01zQVYN6/OxEyU07SrzapXB60njvkJq4zdHQMu7WKlYz1gImVmQ42u9eWAQzr0p2hmapXToVTAdKfRNzAlZrUZMOGOPnS1s8wRol2IdSVannTDI/iZRajjuVdaDndPJrRjGdXWSFXaoIuunbpeO2prGOR2SmOsAw2FX7mVRel+17ybefffoBoo6EKuao5jqarO0uhtzNDn0m1jjhVlj4zvSXDLHFoBZLvDMn8HYPIbS/NV+UoBAqBQmA3EbB3iFuXnEl1Hsj0ai4zVNJloZlHq2Z4jn83i1d5HToI2O5h203uNPCct+4WJIcODodOTYtwP3Taels1nd+KhMYuvaEcMobL69Aqmt8R2V52Fk67LUFbB5vn9nHGPVN4idDr6fTCZpJa8ir28FvWVFIz+Yb+1EzJO3WkUHqi5TRTwmydCDOj+pSJRLKsb6fPqEOVkwgeNr0o0mFYg2IyJYLYf9qHW+U4Ds+kz2iarecatWujh5vYANXOXAnFruixVlp4LrtBryKMFtHlRqsQAaJZ16ZpJDKTeGQx/3dJq82nsOVbOukU0+hrB0fsG8H5srLixIZzKltGbwOwP+ORLSO/1r9zd3jKi14qwzuaafQqQg1Hb47xIicwIi7inl0g9BO2ukvc404PIzkADrMme9Phyc8w6cO36ZMIMMxl3e+GBvuB0A10aocaDkDqHqeEa585CF87Tm1hBU2Xfims6mK19pTzFSFWp5ybrxY6uqltSpIkte5VnD9bmMt2gqkjmq9l2wm2GUBDYa/KLE8Vo7PkY4QxYG5HZX6YkaHeqSxC4nxFPNzx1609GcE6hNsbZTORcHRN01WnDTzaW2JGboPtvrsr86pN0EV3Vs/RouW16KK39v26RDpTUd3b9pFAZfRb7g485RKCpLm1MSUpqpqMB9q955THSl6bRevuqjDVWwxNrfEZdP+MDNgBNUJi/dY3GHkh35loIBhosy53IVAIFAIHCgFiSL8DlXvlWwhAgMx+h6ztFbx7E4Ei3Pdmu+y5Ug2tNLRFjJ1tLvG9Gu484+28YpRcQuO1TXz77i0L32oMbT+7kJBvWVMZzVQ2eIEZFqYzm4MV9XNAaab8w0aZCRyvpMnhtN28LYu4kDOiDHOhGe1WT4f47ANve9vb+otqj80epeAlhPtpldtA7W5wgxvQfET+xl1eTnIxc5TXpSq/Xqrh7BWHtYjaRVefabgIFn9H+8BUym3EA+h+whOewKS4pYDjlpTxCeER2dGlR68TmC9qiAcYdpgyqBLRO4MzyIuwn0A0ggSh7d7mouezZYz6t+1HQztzYOnscEwAS67TBt6ge2YYGQ6AmW8gAMY73/nO6Tl0BGUf/rRs/NSdOIEFaoeHmG/2Y85o1JDOMLXyObgQGJUSLawCuVReY9hpTzv8MUzEx7VNVVZqs2HjKxJnpd3VC8OM6I51LCRB2jDYTvg4gdRylEZ1s4xTJl1eowKJLszUow/WrJdEpBHAaR7z2lT49fxNWC3hbhBoZfDo9e5WCefeVDaGIzniOh1RGj1Fx95OW6S2aZb0ou60XJvUrrm32QTWIW1RZ4jpNli6O0P8vgJH/TpxiMBmjeVSakN9Zyowsuvs4JlNwp8F2HaNYR485ZRTuuab6eTdKUlVGF35EP06bZYVR6bTy8vH1uF2IpaR+fjbruscZLQG6K5+bSOWuxAoBAqBQqAQKAQKgf2KQBHu+7VlN1yvTh+qS509B7xSp3PdhQmrDlRypmzBW+vbvrbGmrsU1n6cKTzlU7qlHd+3dkYRMWs6kw4cvJ2pbCiM28NPJdLZr8Bfs01BB3m+FaZSm/IPWhyzcNnLXnYqzJb+brzEttNyQo92gdvtYveqfdxU7Wi4U2Z3rW4Q7ph3O2TkZual7fRDKmmtCCHfcmzZcG3gzkZq+2pvuj/xiU9g2ynZPeMZz0g1uizqwsbK8BzRf5ziXN5/CJncq+wv6t/ZTyVhnak10ISCR2EwEIR9Hh7/XKOQbYFn3IaRjmTJwDHCdJq/8ZasyCfp21yOQEREJ1F/8HMZI3rLDcxs61MenLqnIQtTjoMLASN5R8mRJ7EmNFULH0VcQx0BmHG/733vG/Ls1tSSt2Y3V4F1FxjMnzUZZtpJdgXQk5/5zGdmSOcwGKPMQ0Lpj3EzluYjGxfDMPl2s47kwSNZ8/uQbWf5bSXBwygORsssOVHf6IXwJ5xwQsonDKoo0eUyV6DhhbO5id/auETF0e5ZBoJSAkiNnj5agbJ/PobDxNQZc2v7W8caO5fWHTOi8+6gWJfmAXnUFdduAvJa14HkEotwgjC+xSFqRHrhe0wbKVTIo5WttShq+MQiGMfznve84bWrzorNHGTsQGPvzmjfHVOwQO0ueEirdF0/dzSqY9ul70xhl0s+MrPbimd8xbj1IePv/E1G4Qireq1PulNplJY9kXmCJoD5y0C02dVp5luOQqAQKAQKgUKgECgE9iwC/62+Wr9CYEsEKCnjTEeD0etxqp1R1CH51YZHFXlkCbr1bN1IB+eUHextPTfiprkzlQ5zqBi60ftXp6Js6U+hDFlGezoVzbootu6KRBtOsO5VPuImKO3SeJpSULI1ysAccRIZYdp6pltJ6Ci5fDJ9Fjrmk5XIiSee6DrHqUIKgNRQWUzlkG33duoUc1e8+WIsr10c0rfHRmFoBVek0rxu1dW37KX25MqWvTT2tz6BrsAeYbKG0fNhOrvpo7/Jji72kG3nv7Cx2gKjurASU91SSDqb2Byq3BmLAXcUJM8rXelKj370o1HV+MS0uCKYQmKxsR7DAccAMtoWmfh2HDPDSLyaGkb0Xl1uinZB/KlsXFTrhIoqDwuJd4uPd4/wXMMSls/aCHTq7cYoxsdxZ1M/oqY2L/Ny9orhOSTjc3tMirWo7ubVNqlwt5QuH3ZOh7xeDMgR3kCKZwzjUZnau9/97pNPPjkfOdawNd9GX8kdB7MyCiaxBSH8W5lBhmwdW+KgRm0Yt7FlQ2Q6+G4iQ2ub+GF42ygZbMbRXZ3ayjC6V5FIdx7o+c9/fkeYmpgsBlqbMKjnVvu460XUq2PWi/QhiTztmnum/Dv6aptN4ENri0eC2x6M8EplaW27cfd/GvDPYoXgFQN93ZLmqU99aly6nmnSml9p0aVREO6tDR8fl/OF7fSn/9Axjyzi+FRmF9oA+cgRYoDWp3U7LdF1oQc/+MHdqRTGzejRZywLHrrq+TjlkLJO0r5FvrM20/qUuxAoBAqBQqAQKAQKgUMBgSLcD4VW3kAdbfNe9rKXjSbkSDtSdagX0wXGLyOk7EhTpagL8NznPpfPVa961c5/+49yZF91NJ1Qj5q3dzEacd7TJZx4kE6JLKO8/OUvRwtuWVPbKntj2/WMmA5aiq5Qy0eOUNMO2q71D7d9ID21Tv9xGGzogyin9E1ZaZTHZDSAurH94YxhXFtWnWcqwBREXUk2WDt0FTqGKpldtO1oa09GpsG/22QOCRpv7Ye1HQXAvHY1lJq7PWoUnmrblMSlq93eebS9V5jRxmKlIa6uXam0FOgoIYrYUuptCr56r/BQ4amnOX/gEAzTQ3zoxDFGxDIGJc1kmhQS0TBk24Vf2J3aAix3K9vokQUfKS1jIopOlThT1nuJDTpeNd/6ZmmkhlVcEhrB8IP5Nh1x5KKlyfJVOQ5eBAwROnxbfjq2cS6k9WzdV7/61TvSNhVgKZCmkmlEwZa62ACT6ICRO0JZJWrpvDbZdHe3QRr5HbNg/dxf7G0Ek2BbBjy+XMiKDI/C3P72t/f9tiaYGK/oqL3MbiccnWkXXw2VW6N0jCFEXOy5W7d0WXcK71viIJcjjjgiE1FfZLcf5t1HTdThMArYc+CSIF3pDL/QYYYaqi2LC9Lzn//8w0RQ5+1AZORBr7s2k2a91nFsiCAzNe4jOolmO5ymODkTdzcMahthes973lNP2NFhNjNd4thmE+iTrVkVEmWrMn3DqualL33pox71KB9j+3li26GXBdPPW2m9DoDBJ66O6L4RjPzolJEpDB0+WGtpNluiCymPlVsb7JrXvGYev8t5MwK8733vQ/qzkufRwGJa8cnr7W10hcwOyZ+orF0WWtFJX6e12mcdnqkoFHwb3dHAGTWRNqS6Ow3Q+lh0tdx9+6rchUAhUAgUAoVAIVAI7FcEinDfry274XpZ2WMhhzqeqDSKbDjZTu1uNHuqOtTJ7UOGtJFduk2gvWIqEI2msJ4nk5dVl+WvAAEAAElEQVQPf/jDhwZt0WQytadqVVNj57lcgWs0vP0t0oS+6tAwKG1funW01+2F5qvDDibz2S9+8Yuf9rSnteQF4k91jjzyyDY6rTS8HrV6G8XWn1vFbbPtDG984xt3r7Z8xGzaaVOwkmNnrMOOzmaMp8rOpGM7Bwoa5UP1K40epmA7dhukqPCW/thg7Rwd+L3f+z1mEBAuziI4GN4W3mZSfWl02my3+1Jhor4UtY455pi8fjbsIxHbdIFt3U866STN1yZ+YN2jHbUrUlj7HRqd0IUo+gUp3DVWl8LwEZ56kT18EAFtAB8COsDQEYaJmRumD4g0xNyljirtbyD7TtMmrEL6HIZbd6MTe8dEIKuWsC3SjJuVp4c85CG6QReGiQ/SNdVsyZc2DArjbGc7GxqORYjWn5sgUD9EkgY3EZI/VF3XnYQM3qfrrl1q9XjQIUAC3RpeUH7C2vlamG1bRlVg8tTk9VoKONIxFmFafT64PP1KL+346C671nxTvDLIG719njkmG0JR2G1En4AebnJHy3bfpkGVWn2MP22UnXM7WNN9KU7SmB+dw/OzzEgRRVuGbtJfgoMZsDMFrkENXyhsX3E3+/MftTrVlmHoNh62JG8G6K5LTX+CEKyrBUb6cFBRN7RqHbMSA4DtKxxxp7NMdtJZNdFtkLnma6NQrKOmjGu1Ke+OeztNQJJBoaG1c2LhoW8Y5yloEwa336aVzPHHH9/KmSxLTItdNfW0iO6ji+9lIUMtnZC0+WAt+aILdasm7dIy4HpyJx235mRwhhTBz1DgBGdXPE3ZLr/N6TpqzrYCkx8bK9zdzRSS9WQbXZrdV9++HbotGruv3m0T3Vc2jFU+hUAhUAgUAoVAIVAI7CcEinDfT625g3WxtaAcd/TRRz/5yU+m68o8gp0ACt5uzW7cTrJVk5kqh52A9TqOHvNLSYrhYzSBLYGthWSx3lb5U3G3409HzEaXtg61HUeGFd5OmOUK1ID9RmfhNDhHyjjoeEQGc97zWY+Gt3HCcVMuoxqGBAyDEgxl2EcxwGKPZOeWpO1U+gLgKUgLbPxsufG89MvQMbaCN7/5zUNBvt3+8cfwPv7xj7ffYwcASy5felKUkigu0dvC+k3lNeNv24aqeMc73kFpEe+JNrUhhIyq2Y9R4hulA9oEiRbsYzGnaG7bdYWx/6daRVRjs4dsRVLY9+bmNiBFEMglD7NvsHb02uwqKVZ36u1RZtVUX8fwOeSOSFJgJSFXUE7ssIvssnbsmeJlnDbQNBKEuQqKCxwKoYxCZMgD7rD1xcLgfE899VQV0UOGRdKaui4K2FbZN+JLQYhTjfTtq2aIiPDLOsMw7pSPXfqxxx6LrdMPffXoHg1NJVaH1L0NLGH3FkvOh/a6r7K92wAX4A4AnAUWybl+ufiQeQqGAPI5w5y/MLRHtQL+Sxa+7iG7PVXChf7KKU1iMNWnhG7scvEgfUbNTWg3Iz/zISueT5VGpNGAGru4TOs+5SlPoXyK9HnEIx4RHzLlZTijbND3GC4fWmCFZDFioBFncllYiwq2pxDomF/2l5Yct+oYUvKnVDo2NcwYWfbhmJhYKJoBgXB9isxtY+n5pGidUYs2QLgJk4wnQxPqw5Cb9SEx7WyRS5+0LEXXxqW0hR1ZG+fbMizBgfTCKojSdxtx6Aa76WxLUcowYvi0M074gL2zZ9LGJZKBeXsPavs23cYc6zETa/qEQ6WMV8rc+ecjYYYhKx8PrGObTWBQhdWWonETEBPtnUa5ipvofQgzCLCT7pOcCdC+QperTuvTuh2iQoW3spCOf8/AiH6Lz3g0VnQG4nKhFQHcu2uK33IBr9Fp7nf8fuY46gCXKa99ZXVk4m59yl0IFAKFQCFQCBQChcD+RuBH93f1qnYbRABrhoyzNMdzZbL0xSitLFd3QrrhuB2YRQpnIuxO2FLa+23JQWeUlRx2p3RpcXB0dvzNuDS5KCjZnaYPBz1W1KpdNDbBo31yKPa2YVr3VHisB6Di1sfWLAwSllxhIQGBIqc9jeBzrDgM6UoWlYBVjNMG7WFzrYNLRcxhAJN/UVSJqPUSHqetV7pty0Wnvag6SP/0t/Wym2LxI32mHNhDhLv9KslKhkHESJCuJR7T4WUlxzaGAqDwxDBq4ef0NDZTrA3WjnomPXd7P6rHWZ506C2EFna2ujqDqulPD+64444bMp4Ax1lg5P0iMGTQsgQMWj+j7wWHTxiTjudVGAaLhp+tXTcpiP5Jk9EvyqyPqQ5hG/6dyISUBRR065bXCGi+su6rR+g4O49kD14MD0gU59zGkL0SV5/Ha+g/ZGYOwWggPqR0flEMhAixn1KhTqRDzkRStSXltLwKQhJX6BX4AmXOiMBhRIIUbZ55VGY9XAkNBX4ZXRMYP42i4QMTcgVA+X6dB8pgRkj8muYbcogZphwHHQKEeWydt8U2JXWWTNq36SYYMzG1hy1IiOOkka6il/o6UPlJLkdEFDN/Eh1npDKpUQe+FVnmW+ust3eBMYlOZvgGzVBdXkL6XnwaZvwZDrFLcIOPzK0gUn1cpGJdssYKUwxdASN8e2jPCQDCvDbwEhx8ktIxVZnF4sBWm4Iv2oBm4mit3rcBlrhZMDPO5PECUdjp6tYtXTomfR3AMEioOWxEgxV5MGlfe7avTYEQ3XhlrOsMABIIaVByzVEram0Ku+neZhPo6r4I9bVE8Ul2JTebmyuNxlOnE6ARq7IOK93eB2JZS8japTn1iNRmiY4KSKdaLryRwYp0uBYlC7c0Iv/odOFFsbgyaSq8YlCVyEz1805yoDv5hKmD6DOWahkyHNZgvheJzM9xXax4VABzWVs26woyADoNo+HLsxAoBAqBQqAQKAQKgX2GwI/ss/rshepgSDtzH3uhVGuXgTKmxbHlPmJRIpbjNHnpkNoBorQ6i7ELc3Gs1T2r9mwUWm1jUABhU2Jh9OXB7CKwY1j1OGhvN0Wx11/Z4axbRdouTQULS8qY2SVigJnwdORpsyIrsZkYQAR9l9d6j7aIeF4U5NBQDCV0Or/+aiMaxLb6a+yUhqXS9HhwsGg+ZIrN4RJkMh0IMKcDfNtjpUqSMQN0Dn2MuWH0U6eYv/3aIapQvQrQUp9d7h5RSOrrHAZlMQIS9e3OR7dRqC3r0iDSqbCre5YYVXd60/5infzaKrRuPdaBDMHQOqqzpfpbG3fKDUZfH510yuw4Ah9gq6w3FWvKX+voTj6u0NxXSFTjVOBt+uPdUFesq8dwZ+DCrDmYDxzmblZS+qPpr5+wi62H+DDjMMeweM7ds8JEJuSVIQhWG2mCYUZ71oeQJi7Y2IkS4lWZ6tqJlPdOmiZuRpx9bjHJGr6m2NWZMjs+Yhw2rJlBiNkMxeaUYXgHhuSFVhMez+jrNtNtOcIP09kJH2d0nKfxKZEcK5iPTtlWnRAX4gBtedEgBogP3NdtXJoiapdXFtWu7VqTbrhR8umFKUDAesDMqydQdsafMkm0ZIYy0RuxHeuJtYRJkPB7ScSFBduJYNtpAvVVWeOz+pr7rBKdBbE6XbjOERHOWp9YAsjk+mtjZdXhg3Lkwqdn/CfWGlLtLXrmVmsVjaWjyj0W1R2r3oafcpuaiaDiDJb51ATtYyGoiwNYU7HKvxBIBHauqziMomdmRuUoBAqBQqAQKAQ2iMDOzV8KWYT7Blvq/0tqfxPum8drJ1PsCPedzGrzaVNURHqSFozqPFJVpitELcuWfvN57+sUqaLTO8Oibnlv7b6GoSq3FIGOcF8arcJtA4Ei3LcBXkXdVwgwvO4AUFYJEezuhwNybiDLUI5CoBAoBIYI7BxhcWAJd7I0J30JHdtD0sPql0+HgHNmfg5ULTkM3cXdm486gM6gOioVJRz67M2S75FSscNGh4D9NLLkPVKkasdVG8KKlIy//QpWTWFvht+5+Ut9d0olcG9CWaUqBA4iBKiEO6juaHyo57clp9jL0DN9Q/pHrX+5lyDAlA1VxzrUvASrClMIFAKFQCGwywgwEOTsDm1l5waoXbe5sy5VbHsLSLkLgUKgENhRBJxKdITFEZAdzWX/Je6YDtz2yHG3jcAbp1SdIMzUhj75qhxDBJyfdkD5QH1KLiejyOj04dCkarXjsLGmfBwl9F23X8FUyPJPBIpwTyjKUQjsLQTw7K95zWtY8nGW3C12ea7ZoXXWPJ01ZmF81aPxe6uGu1gaZ65dbSpDxwKoJ8RllbuYf2VVCBQChUAhUAgsQsBmprvcMqIx6eN2kEVJVKBCoBAoBAqBQqAQKAQKgdMQYPbguc99rrtPhoR7IVQI7CgCRbjvKLyVeCGwPgIsRLtui5V2nDubrYy/MwnKALd9uF032/Suzls/9UMsJom6W7+i0q7WdAvoIQZAVbcQKAQKgULg4EaAiblNXQNzcANRpS8ECoFCoBAoBA40Au5FZ2vIJdUHuiCV/7YQqHbcFnwVeSsEinDfCqFD/j2S98QTT9z+xV8HBEgXXin8eje7HpACd5kq+ctf/vIPf/jDbLbGXZdOQjEygzLezoWTXS6HwiMRBekF2t1tZtZGh0KVq46bQoA2xKUvfWkXBW8qwUqnECgECoGVEHDH9XHHHXfkkUeuFKsCFwKFQCFQCBQChcAOIXDjG994h1KuZHcTgWrH3UT7EMyrCPdDsNFXqzJDope97GVXi7NnQpMTHLyFDxQZjfm90357BtSDsiCuwrjYxS52UBa9Cn2gEaC6UtorB7oRKv9C4BBC4F73uhfr7QwHq7OzbgTtLh1h0v0QgqCqWggUAoVAIVAIFAKFQCFQCBzkCBThfpA3YBW/ECgECoFCoBAoBAqBQmC/IHDDG95wv1Sl6lEIFAKFwL5CwJWPf/iHf/i5z33OpaBnPOMZz3Wuc1GLmlHL+K//+q9PfOIT7t/6+te//s///M9Ep05MXuQiF7nEJS5BGSih+cIXvuAYrlc/+7M/m55Dh1sfFcBR3Z/5mZ9p337lK1953/ve5+5Hklonos53vvNd/vKXP/OZz9yGWe7+8pe//KEPfegv//IvpfajP/qjDlUze02DLa8TW55UhlT397znPa7Rct2i0/OqwI7Hr/3ar2WAoUNNP/jBD37qU58C9b/+67+KBe1LXepS5z73uYeBw0cuH/jAB1w2zv6q67uU/Hd+53eucIUrOOg8FcWlaI6Sa6PvfOc7Knu2s53NqdYLXvCCbetMxQ3AmXqDeYT5u7/7O6XViHEu9rvf/e5b3vIWeH7/+9/XHOc973m1y3wTb7Ypl9Tub/7mb773ve/pUfNHwB2113ZZtajvwu49BSBkfvjDHw77cxveZaf//u//7hMbqh0s6ajRIhKMq3FUIS514+NGXy3OMWzHtgDwee9736td/uEf/gFKOqFv4Vd+5VfaMOH2vUhKOWNAWHWsGCbY+iypbITvUDVovOtd7zL+uBRQ8/kifHozX4REQPRHf/RHWjwGpQtd6EI+itOd7nRtecq9HIEi3JdjVSELgUKgECgECoFCoBAoBAqBQqAQKAQKgULg0ELg/e9//0Mf+lCcXVvtJz/5yde61rUe+MAHDjmsT3/608Jjrtvw4WY19HGPe1wyzuxevvOd77zKVa7y2Mc+dhg4fOR7xBFHYM1wuEm4o3Qf//jHv/3tb+9iSfxOd7pT3l/VvZ16RBY/6lGPwt0PA5zpTGd6yEMegrwevtrS501vetMJJ5yA1W1DPuUpT2Ei1V1lowT0G9/4xic+8YldFNGhrQwPf/jD8e9tatyvec1rGJL9x3/8x9b/pS99qfPuD3vYwzD1rX+4XaQJve6Wcm3BJq3KOl42jNL6ABlZ/6AHPeh617te+Mvuec97HluU97vf/U4++WS3dBIVtFFkd8wxx9z0pjdtPcO92aaU5sLaoVb1Osfp3va2t82Qqsceeyyx0CMf+chrXOMaUeDl3XtY2fB58IMfLBGY6AlTYY4++mjIvOxlL8OPZ5jlHTVaJCPCxC8eOcJm8rAdI4B8dcI3v/nNGT0cOrNPlaG/iJ5vyZPucpe7+Khf/epXrzpWZCJDx/LKRtxEFUtu/Mn6xtsXv/jFiv2Yxzxm9Oj/V7/6VU38sY99rCsGoQh/gqjOvx6XIFCE+xKUKkwhUAgUAoVAIVAIFAKFQCFQCBQChUAhUAgccgjQEmXvi/I4oo2qMgKa6isy7hWveAV2mAlWxGsLCibxdre7HRVjKvDOLZ3nPOc5wxnOQEmW/vXzn/98aqd3vOMdEXM//dM/LdZ1r3tdhDtF2n/6p3+iON+mk26a9dj2i1/84nmrEKVsWVBopcp9q1vdCqeMiP/mN78pqZe85CVPetKTvvGNb7htO1OYd6Cqb3vb22LcMIa3uMUtaMJKjc64or7qVa+iOa76z3nOc6i7zqfTvXUbGT73F3/xF+Gm8IoKhD/+4z8GAipQ4ghunm2siIL8xVxf7WpXO/vZz86NdnSl2amnnkpTHp391Kc+tY3CH4NPufhmN7vZla50JYrq1I2JOuRCXfdud7vbSSed1DGMIHrCE54gEeGvf/3r00qmz6vVXvCCF3zyk5+Ep8qmRKTNa4lbytJnDk7KdKJpUn/xi1984QtfqArHH388GYN6telstimlvLx2V7/61dHK4EWzOnjRlirdf/VXf4Vt/8mf/Ek1Cs+VunemsxHHSh2V7CRkHthwPcFnmN1g/sSGb8cX6nNATxNcHXbYYc4xEHp95CMf0UOIuCDwrGc9S+ccVmrVsWKYQvqsVNmMxWGsMDhouJvc5CbkGcoJBx3b56ZSpD5kGJ1Iyfdy+9vfnpghRgBfuhbXMRw0edGLXmRwINBqsyh3IXDAEDDAOV9Tv0KgECgECoFCoBBYAwGrw52bwiW+RpEqSiFQCBQChUAhUAhMIbBzsza+cirTXfCn/4t4Qo8irWh/o7G6TKnQCoDXc/dG+wpZzB/x2nqGmxkNOtHeIr/CR7J0Zvm84Q1vGIYPHyS4ALTFMwDlXz7u08aRpWc4GL1hOMJbIoHu1dQjRWPh5UJIMAxDnOAtCnL4atQHwS38ne9859/93d/F4hEkdMEQ4lEjtWhfsQGC9hX33e9+d+sfbgQi1t5b1GG+RYNiUTVB65lvtZrwAE8fDiGF508vvvXn1hY04iMKjjLfOjHAk4xkxocCvjBIf+UhhsmQ4ZAyoYUAlMS7jrTZply1dgQYSkUzuitwPhJvCEBdOn1W6t4RS0+QCKMrmchRRx3FhyQpfYYOFL8w+nO+Wq+jRhUe/ehHZzrpGLasdneaRL66KPlQhgwHEpw8xtsb3OAG7Mbk27XHikxh6FijsoGqkoOuxS0SVx0nchTeF91m56s//PDD+TvK0Hb7CGOEcbUs2YxvWZj2K2gTOXjdOzd/Sbls8ewovJV4IVAIFAKFQCFQCBQChUAhUAgUAoVAIVAIHJQIUHf9hV/4BfZPhjY3EHMMOmOaGJHIujE8TSOYrjoTE+mZDqq1oVhA0Ts8JXvta1+bm7mYDNY62FOmotuqGFOHZ2mdgjySN22IZxT2N5iA8Mj8BcXt9J9ysHgepjPufve708QfBrvNbW7D80/+5E8Y1B6+nfKhG0t7na69kndhgEOxmmUYtaC0nm/Rr0jMS17ykqPma371V381lKwTOhH/9E//VKnOf/7zowIznXQgEOUVOtrpSelek9FcRjKmZzi0xQMe8AAK/qK88pWv7N4ueXSIgRTkmte8ZhdYyve85z1Zh3c2gmp/vt1sU0p21do5YCEWvWzIZ6laB2szHhG14blq926T2qZ7hzpqVyoK3ahqZnbQ9Gm+KcP46Oh6GxA0oqMV6R+OVceKLnr7uJ3KGi6YRWrt8ETKqkPAwN1ZjqLw7qwM0zGszTiv0xaD2wgDCpKG9rvrwtTjFAJFuE8hU/6FQCFQCBQChUAhUAgUAoVAIVAIFAKFQCFwSCPAPsOQbQ9E2ErmaClUjCQfd40Ob3qMKG7a5Gith1/nOtfhg89qPSOwv29961v9pWWfdjDYXeGDMkb8ZbDWwZQNZXCqqVTFW/9RN0M0VF9ZPkE0jwaIAuO1kW6jAaY8sXtDtj0Cs6xCGZybWZ6MHtBd9KIXTZ/OMYQuaGLWb7qQ8QixK17xiqxk0J0PHwS9XNCm1HVHo5z+9Kdnhcar9Qh30UM+MUycaR3m+/m3vWWzTblG7eieQ9UphFZolIVH3ZIQ/PIv/7LLfsNzje6dqW3TsXMdNQtGQMVehUfCp7D4lK/SwZ8gx6O2ow+e/uFYaazo4raP26kss1cud21TS3eMVz7k/CK8im/Q1zoqbxOA+GHVOyEyx0PcUYT7Id4BFlXfoTAGyAzfbWhi4de97nVmIwdMHLxqX5W7EJhBgAk/p5xmAtSrA4uAtb7vPfRcZkpiWSaYk24zYepVIVAIFAKFQCFQCBQChUAhcFAjgImmcz1VhTCq/v3vfz8DXPWqV8Vd0uxOn87B/gyfVveckWW8J53W4Q2oQgbhHlrwHlHMlM05UumYe/hjpoaniz2HrzofRLAC0zSnf929iscoMHdb5tGQraeLZK985Su3Pp07buBUl9StZt5ESWa2ikPoGOaWLIV0tua79OMRU8EIBglEPNKp52C6fcpcvrcMzmAYv/KVryA9I9byv+6WZOJ/KnzXWzbelGvUTqOHvGf0gEX0vbanrdG9p9BY1X+HOmpbDKbeCb204MxVrsLrPyRGzBkRSLTRVx0r2ridezuVvcxlLtOllo+U3EMGlkMWOz/O0KDa00Z/Bm4dOf60nuXeEoEi3LeEqAL8L+Ivcxh+rcXi6U9/utmLP8t6U9L7Nny5DzUEyHsZg3MXdldx6yTdpvOsx72DgC9dA33ve9/LIlFk0JSOhaYPhy2BYM7NtZ7zblsI6ZjR54PV20KgECgECoFCoBAoBAqBQmCPIIB7nVL8VMLYCLe2VhDNdGBTGz1rYfFsGcwOu+sW0zMdYdljSHq6b9N9hq2KMR/Z4ehRchl96AiDEn/xF38xfNX5UMpWYAZeOn+PKEUcrgX88NWWPgowzxKoAtZSXdQoUgOakgyNWiD6geAiU5ZPunzZmQlulLl2NnxYaEn6vgsZjwFI6muPhuG5HL0uBS3V+bSPXW/ZeFOuVzuEO9qdFXIHHdrSsjXPyA+f1kLOet27TXZt9w511LY8n/rUpzySuAw7YRsMsR7nMDrCfdWxok2zc2+nsit1ws9+9rOy1uFnRjkBjDauI+4KWY9bIvCjW4aoAIXAKAJkyCS0xMXG3NEA5XmII2Dx5LoYq7Sb3vSmLRQmD7/Wp9x7HIFvfetbmvLXf/3X4wxaltbR2qnTtRmmdVAZkI4zMXEatH1V7kKgECgECoFCoBAoBAqBQmAPIjCkzhcWEr3u5CgOlJLK17/+9W9/+9s4d3FH7cCwfML6tsAUqym0ZRZBwbcqxgzFeOvv/CXzYexi1EZNJt45wkwzK+TYbTpSFGtCpX20wF3c4eMSek4YFbFhbKM7Sc+I9ic+8Ql/mZYGYwZAaIKxDcz9iEc8AnfP9Db1ID9kKPbwt0/72bx0+uaBnhtrw3JIl1Q+sqPCvRJ6EXel3rLxplyvdrjUww47jGTlHe94h7tAE4SPfOQjkA+bM+mZjpW6d8baiGOzHbUtUrS4ixlaz1F3hPnOd77Tvl2p9duIM+41KrtSMeLjmpfeRfF8rWuc+Zip2qHwqgj3Q6GVN19HQzn5p7N1xbZvHtz9nuL84ma/137/1I/6ycc//vH9U5+qSSFQCBQChUAhUAgUAoVAIbAJBOi9uhQ0tGWl5+5QZsRZVT7nOc/pek8s9h3ucIcuH+qlV7va1RhTxrAfffTR8Rb1HEZmWhXjsFf+L//yL60p8C61eKSlu9AIjBPtxx9/PKsyoarP3ArNcSbdUf/MjqNcL3WpS41mMeM5r94eEYMZ/OEPf5jpvOENb3ACAJnLh9o1NR3W8BXDT3kwwsPzAaALO7fvfOc73Qb56U9/mpaPn6sgIcAEyr3vfe/U3w/0pD9lPydLIu6UafgMs03Hxpty7do5YIFw1/dawn1oTybqu0b33iZQGX0nOmomzhEALiGsI8yO9pCdrmxUPKqw/Gtt4Sr3lggU4b4lRBVgBAETPN9i20egKa9CoBAoBAqBQmAXEbj1rW+dml+yfdzjHhf2THexCJNZnXDCCU4o52sXLh1++OHxiEF45jOfma8c7n7Qgx6Uj+UoBAqBQqAQKAQOUgSoZt/xjnfEdKOqjzrqqEtc4hKdrndYYB/WzhTZEe4uUaNmfrGLXaw9HhommClwP//5zx8msoaPVQSz6XRXz3KWsygwc+fnPve5t+Sjt8yoM0g7Gj7CJBuuRk9+8pOFZIQaGipOxaeNiHBvH1s3kBXejyEUplpAh3yno+18LYL41FNPZb5G+EDvKU95Cp3uNvoBcW+8Kdeu3eUvf/kzn/nMn/zkJ4kiorMhfAhg0MrslbfgrN2920QWujvrQDvUUdvCRFdM++btq84dYaJTda828rgLlY1yxmUGy7/WjdTu0EmkCPdDp603U1M2ntyrEHt7J63e9ra3Sfd85zsfcf0wA+Jlp+cowhu+h2/5fPSjH3VGpr2SgoSNaTarEMdzjO90Abxly6KL/oEPfMBUamLo/OPRTGxujsttrHUkKJ0gIJwSIrxVcrcwj8ZtPQkVmS1zsk8hDb6qefWrX91BtjZMuGkfSNYRtjBp7VCbVYLVVRcyAKHdYC78whe+wIRfXPxyjnOc4wpXuAJjYRHePEchghjfBdNdCvHoeJ3DhtK3KsoAcgeLpRKDLeK6oyZsz2WAaDv+YQbECUe2ucGS5bQuYfZO+wKNIgZ/4JPtZwrhMPO5795cCx/nIk0z1A1cy5M3z0Tx4hijQ3/RSZgSo54gBUBpZacmu2QVhlaC3M3uZz3rWWlSuLijMyUWyEhHaprStb1gFF6jKK3wjhB2yWo7tI6jkY5lEBHpSxqRykYXbOpRywJKmbWUiutXUKV+0q2bgQ/26HKCaQgNRJ8iDaipnW6pdmAR10LWb8lCljkXSx/LTZioPqUPh1LBbgV/vetdLw946lp0EHxucYiSJb72XFiL27CmEgRjZNG9VXEAalD+qhBN6S4g67D4suSS/baLm48R0iNM/HV3U3R73y9Z+kplm+nDOSZoMgSfFTbojCGA0l4+sSzP2o4tG1FX9AUBB0TclER8U0ZLt9PYFLkYqtszKAlwRPnYxz4WB/QMHWDJTzKKmlUbLXk73Amwc11xNPfy3AsI+PzjAGwUZsmKedeK7atvrVu2B1GVuX3lM9m1UlVGhUAhUAgUAoXAziFAVdwCz0L9AQ94wKj1xdAiHxbA1s9Gw4LT/Gh7JYDFpL/ddYW2aTzbKXWY1Eo+yGip2epSHh8uViU1VeD5XGLBPxPGoj3CxP7aDVJPe9rThH/kIx8Z96kO4y4piU0ZJP2OOOIIeu53vetdv/rVr2LYH/rQh0pw4+gNC7ncZ+OFWTtBW36Yu33NjvI2t7mNKthMOXmg79lPtTVau3u3iSxxYwy6Ne0OddS2MLHHtztuPUfdzC7xz834aJjteO5CZaN48fVt+bUK7DvaTo0Ozbg9OXVoorD/am2Li4s0WyN9UOEYxotf/OIbqaZkCd4jKZSrH/dxxx03Srj7Jq0z7nznO9/2trcd5m4Ev/vd736hC10oCXciaFeyoGiNXAgyfC6u/OSTT77+9a/vIFjL/D7+8Y9Ha04R7jK1WAn28wc/+IHrzm95y1tilhlre+5znyuiwmxJuDMDZ8oXGHlt6jLs4m1POumk+973vnGnTdYIY3if+9wH5YGUx+ciQwkSTFf09Vjiawl6Ju8B6Pea17zmBS94AbISIUs6aj574QtfSIyfN9Lc//73t0qYsr7iulpjIno6ykA4oQlQewpAH8EKz/Xup5xyyo1udCMFy3WefLUdZt+Kir/uIbrzjNg9ZZAjmtIaS1Na/UgNtwuupz71qa1KBfGDvMgV8OzaSOLWMXH0zz26yE1p0iPIkssF/jyBFoT7iSeeCLGWcAeyW27EQhZrJiSsNF/72tfKl78eInr8UM8PfOADaUEqhr/oeKIUpcWJg/QCF7jAM57xjJa1wUU+/OEP1weiEXVIgnrI6JN0Qv8n1cn/7Cbd8573ZDiFLEFlgSPf0MrUBPj0jOnQKCGKLqcprRGD/FJy7WtdSOHUnQdBhSuzdYyGwFPT/WxFJpla6yB6AaCuiEiVMtodJ6sFfRq6KDDl4nOQoKZXQpw7ccjznvc8rwgtIqnELQUAbRYIX60sC4m3/twSwcWHp2L7cSuGpjG2KJhvcEvCPUJmyvpJuNH32nqlss304RgTXF+jyfDXZCo+WyOhPmAM8WV1e5UszxLHwkbUYWCC39cZjjnmGDIexfBVGhzslxRD3W1mMkcLNaUlhjHiaRrRSSOcfvWRGjryCNHy4U7KO9cVs9jlKAQKgUKgECgECoFCoBAYRQBrTEGEVo19bu7CupChodV5xqMdk42DdSPC3frTdg/d2akYW/PbF9sp21K127QuQetPOwIbh2OPPbZ71T3SsOFjV2gr0b2Kx5kCj4YPTwtdeiczmx37RIyq7UBo11G5U2Vb4Cm2XbLDktCIx8ziiEepT9tD214/e7QoFZM+dFlsQPLI3WgVrKjBe6tb3UoKowE24rnxptxO7QCCwdD3gnCPfV+3gdpm925BC24HcdF6tm777vaRe4c6aptLbGwxIQgEm7j2VetGZAUPltvt9u1G3LtQ2ShnUDTILo07pSYrpM9ZgI1U7ZBKpAj3/dbc9L6d0caTYiGjbsaL17/+9dRpMY8zE95CIJyPcwemCf52t7sdhWLm0kScStbiAFWEIzNqD5V5LSAwcXkDDJIaReVWE/LnVP5FvksBWYnBfNKTnrSwkKPBUF1uNkeJ4vetPEbDpCdqDLdufsWrpn69RQCSlw9eUgkjsIJh8zFr97jHPdwGGRyZWR8ZKgWTtHmru6oFoabuqOE8yIYWhCSKGUfPQp+VExKc+MEtMUNdbPQcjWMzotWJMsjr9re/vSGSCEFJogCYuyc84QlIWN0Ak5714qD2S/5hblM2erih+O+qGWw7Gtp5/0hB0xCrwkG9sOexXpSsy9/lqFFSTELAoIPpXZYyWkpDSx8UUvCX3nRYCZiasUS3HlVZPUFeMcrzRChj2/U3/bnl3FXB4kynEouNuZiqCQwwqohja6NQXhDMWULsJ6LcWjMb0cxNHoNfBixas0Vm6CbmwbaDF1aBtjAWr4CSnXWwe4PbWDhx/KkbVBxmJHuIEwaQIUvwLShMHDoDvj5gdah2+klUoU1n6FYMEgWfQHY8+CgebK3LoQf5rCOKWV6q+eY3v3lJ4sPs0gfhTiVfz9dDgCAvr4a8fIYfdRBX6CFe6VEaThtFUVdNJxMf7cPx9iEPeYgCk2yRxISPJTWglN/6SWfIRFZyrNSIPhCfiTua/I2x0eZB3X3yvhEIxNdEziSAhYuecLnLXS7KY2h9zGMeQywE+Xvd614rFbINvHNdsc2l3IVAIVAIFAKFQCFQCBQCLQK2Sx6x5FPktbd2gm2U1k1PzoLfGWvrQHoYFopDFWPLe7p0FntWlWntvU0k3HaC9gs3u9nNhq86nyjzKGEdIWcK3CXVPtrQ0cpirKb1bN02vx4d/qaTzrFlMayx1bpNgRuHYGuM9+zEEhkMB80dBkA4bKYo8qsRhKfayGl4ezQr9lSGy9Q269h4U26ndjZo2A96b/baNrmgxplgJ9oqb7N7t0nFrj8up2390x2Mfz5ybNlD1uuobRZEIHaRqBXbyZmua2OOc6enmBvwNpGNuHehslFOH34crEFZzAwXr3zlKzdSr0MtkdMdahXe9/XF6aCVk23P+qJTEZQzIsQMOe/AH+ETQ5aOR+P2m5qrULdYVMMowm6YLPGpFLD2XhFu01ymAozhZYwl2Xnq4bhd0ycu1ag3TGShD5KaRjnSDQnufF9nsaFLBKOK5DXaKkw7huKOUWOmXlxYRsHEkQqg+QxPQVV7ZY1FIGEWV3eaqhk4HNZGUk62nSf9awwpRyw7OILZBFFEaf+GZ0qbrRhMCUhhvywAip8aMk7cyEiA30anyKz5lMHxOurJ3MC3GjObIsozBfwyBt+az4wb8luJiEVPQUdKtp0nQLD/2kgxBOYTnSSUqaUTnWTKwJnVDL6YCRRIpkxVmrIgIyFAIjBAobZVQC5jk4888shkk/VAPLvuBJw4wSA8iz0RvW1ESy6N6C1BSJvm0G21QXFeveCQbLtghMCWtj4loLWxkKoUUvQumJue8a1K5bszdVG71o0TAcXWW7DAlMcX2l4kMyB+SLZdvo4I0P6g5aGv0pRv6wg63UO3HP3u2jJv6XaqTvMFM65TRVOGccAt42YArRkRY6AwqcdjrK0z2HLHsA9HXEc9yKgAkmw7f+MJGaHW0R+WZ9GGXLURnS+xCyILSUmkkc2AQG7kYEreNKt3OalAxJVsu0yBY8QgGLCMs6loi7HcvaNdcXkxKuSuIUBUaQLN3+hBll0rzPKMDIxZZg7f6fK4FbIQKAQKgUKgENibCMR2Bhln+zlaQodlQ3d19K2junbHeHZsexCOqZ3WhneO2aMT0lNGHigeiW5P7aR4G3HUHUtWivmjb1XE+eDRV/OezvU6X265OxrMPshy16ub3OQmESCKYTtpBzcahdZOsJDt29hTzxAFsT9NfTtbOedNLbNjS9gmlW66WegUhljbk9P5drOOzTblNmsXWv821JhrGwqKgEnLRK232b1b6Bxl8IjkaT3TTR+RwlaX+9od1W5UykuoMDlSMhMYxzL1cdnQ4ZSEQb9kgTfuWLuya5QkvkEsIl3S0egGBwxMZ+x3NGR5dggU4d4BcnA/OugxMx2yTfHyl798l2sYc3zyyJk7RU58k2ksqExMrs8b4dsyZRHYqIdyRWFT2ycnzxRWctAYNXS217vPRI/zAfb/Q2IxLNW4ET6EseZv+rO05kdXQhhhhpstqrr1lsBDvXWJoDXDWLayUb42wY8S7gxx4ONC6dtawdjnMU5+dZVC6eJ2X/rSl7b+SFjLi6S2vSLwB2zrk+EZxyC5zbN7upBXLT+YIUN3IGBJzy0dpj2Ms6wJJ4aBydipisudpnb7lnwi5Q3pjw5GrUoQ7x+esSAb1kuNMNcU8DPuqGPVymo79DTBScsjWweb4PWlbrkgR+r/jhf4JK1mRgvQeup4GPzWhzuOvJGUhCWf9m2Yfew6XhvgoHYP+3BURzfupCPhH59nflyr1n3VRrRAd1hnmEuMP1mMqf5pKUPQxd7U1P5kmHLns6NdscurHvcCAkyUspGVv9aO2V4o3lQZbLSyzBzWA1Mhy78QKAQKgUKgEDhYELAlCSMkdGXQ7m2xLRFt3OwL6Fvwx6qPaleE3pWQNrBUo8in20TCTSvcjsx2xtIXNdkFiMPTthhOA9v4dG+Hj8FZ01kZMoz0rmiNqFGcis5d4TCRoY/Njh0QSzXDLYn9Gt0vJcTwxrZFdDWl++UkK92aTn1QTSmTYdVDPN8W44Y3vKHFM/0tJwOGTD3BA7UnidPuyhLiFmzQ0P2h3ZX+HHYTcrd/x1HMnB5oo2zTvdmmVJjt1M6tbCpOVBOKSqM77m1274QrFn5On3dkhQA2QU7/y6g75r52Rw2tr9yFZRlGHbZstBJ9mw6j6z9dGISbLu3Txt7YsnVvN/i4dmXXKIPNsq/PzW3O8aPpuhRchsefAGBH69tlum8ey6TMvmnK/67IkNfuqmfmxmB2njv6iBv19dIFxurGSBfZGcfNozmIW0+Y9qwJRgvj8zYiE3IaJYPYHQ0242nmmDkT1EakTO38lCUFcyutf7qpyTMgE9rKis0/5NIZoHV4ZYRiMy7WVfFqlLD2yooKyWvlQR/WasOIxvAIi0DtTEP73koop39v6afDLTXT29wx+I7X0Y8AdRK+FiUhL82Q2BmsNMkBzVxTfvpzIKb90sdCR/HadsxXQbUvkRtnFA43AgGTTJVyeuufbgBS7oZzyNvDvytkBgYgdyo+xLqQdIHieWfQhtpCxppykBWZbkl6hgGmKms9mjiLZZ6mzkyHwlcwTIQPK/AMKJnIW7veoyFH72CIW3Fi0dPFileji/gu5MH4OOzDUQvgE7oMaxSWf7JjDAPM+KzRiFpklPEc7Z/YfKIUKv9tGSzv/FqfVd071xVXLUmF3w4COq0R0oht996OLdtJM+Oa7JyD8WimWFVjxUEiMnKbUnFHB8nMZScc9gNyNxMZ6EJlaUku5kF4OqQlohl8ecQliVeYQqAQKAQKgUIgEWAz3ULOlUJIXqSzc6hmTDwdGhfRbFeLTLQXNgsLYKvV2S2x7LdotC+TICJsagHgcDAWzN7QdomOlAPctLWQ+PKlnmWWtwff0np7lNk2WRREmzW2fSWNMZO7/Y7tISKbopjzl/ZTdNLlSNPLFjUrO+Mw2zqCjP+VJiZXvSxpcAJKSKtMCS91qUsxt5gpWO2gMm3T7P4YikEUUEu31VVH4c3grlLDcjqm7K1TxRQO1N06nwzD0VLH2W26nQCmimSWR9raBYPRAsAGod2MUwNnJNYJdSq9NKzt+Igl4Kx1qHlpKZvxRz/60bt2ZHCDTQnM7dTOltlRaeezdU79JzYv2UDh2Gb3ztRskH0dlM9IRJz5wJDQN7LCxIcgtazWMA9pKjZird1RQ02NmjYDvBQ+9D21GOU0IiOt7/yozo+mAIhep+v6uPgw94QP4eOIedZlJxxrV3aNwuj8WoH0zjceHAgCiu6pbuCot29Ex8BaqPsaiR/iUYpw31cdIA5MzVSJeBl/tMvbYx8t2tE0aUjNsnnEMSWVbPgzl5tlM0DnoMa7HcIdTb+w1qZYrHEMyl0Z4tHSwS/ccfJuJnBYPeukqaNTlwSDdCaZN8d7pN1gNQOoRImnxZm/oSrLYUz01+RE6Z5j+MOku/GDFkBmyjBOF4xGNgVzSz2LPzMrWyWKzaLOkI9oMTRR0Z6Qsh+hglVal+ySxy0BtITyWxXAyBpHb81k/rZURW2TEhOiDBXep8pJhpFiDKtkZ8fcnGPpBmrmCIexwNX1BIs2rWkxMdU6QXItIdxHCdwow2iNYmlufTks5875gMVSuEvf599JO7oAazwO+3AkYiXUdtFMWTs66jHUeckAM441GjG/tS7Z/MDDn0DIroYBIhD56OwEfOl53LWLu9LjjnbFlUpSgbdEwL6i3Qzb2tmXIpRZhzPlUfKKFEyOjj05BDYqcnawppUnGc/zEBXtrdacpX0sPTLbUQe5jI1Gtkifp3GSPD4HvdGSW3Y7k0SC3i42DHFMbzllZSYajTXlaRvf6jSpmlsNIrA5Jc7qxqPD9fbq5jLW2Gi3mXTC39hiYEdqdGNvl6NrLeBgw2DTHq+MvQRd9uqlqtNhVY+FQCFQCBQC20fAforqNLrQ9oEjEzRtmYiZobBUYx7z+OOPt7kY2nCwjEfExzxods7onQO9blo0oSOgLcL9MoA1J35ZRml+M1+NOuxtnZJH+zqA7u6uDGOTaA+F5rYOMdui4G3KVCoDbOmwxFVCNbUp88vwSqh4CtmV0Ik3i3mrIJvE2CdGFPtBhCDq06OSYGmD1oi3tsasMiJAbY3FzVw47KFwrFiI9ggyf1EsuhSMEdHOtowNo2PioypNbcobdG+wKaNU26kdCgLhLp3UjOxqus3u3aZmyYrV1YEt0vzilZbSbfQ6O7s2MPfaHZUQwqdnEUvbz09S9BdnCHedEL+MitF70S/BwERhfMUWzDpq13W7om7/ce3Krpd1ZOeYi7sfVNwv0jEcWYe7ps43WIT7GtgW4b4GaHs3SndsbbSgu0+4GzFxggSVSbgjtU2HubVGcCv5DKWoIvGWXHG0Ult6jpKSo7EiC1p7o287TxwHcnwm8UinK3Y333dp5iMrIgSwcWdODOjIEY+U1o13ESyuf4mDchlx6FCAJAFHS4t0oAvAVBkKJmxMm/xQMNZYXoUAIJK1xsJ3CBZEJE9NgzoUkmxgmPW8T5BE82hLv11vSXAhgGZK+hFWjQwW5bRBzEORBHeThNRMCcGLpqEZ4bBbmKAxxdJSQdPQoegietUC5S3WzN9ufdnF8th1j2EAPl3KbZihXKR9u5tuixi9osvRyhgynec2H0f7sDQXdoyVcl+jEZcXA7VKP8I1Br5rSk8KRmOX+o9d1vw9E/NV2NGuOJ91vV0VAToyrbTSmG9yZAAtOeVI0FBpHLOXpntiydvlggFvt+vON2QAG+M2fZsoJ9xtHjJAOGL7YcPT3VzSBjOc2pcOlxkkrxTExLU1mrlqqU0q3E5rtWVLNtxbSnbtK9a6VMROqdvko+CR6SQKOIJRE/CoAZeO5MUJWQZyjnef9rNpdHJ8VVFBplOOQqAQKAQKgf2NAOlsdxvWsL70J/w6f8s5gnPTq/nLbIXasxfjmUfK6PP6dbHyERntl49TDpsdG2ryeOYWv/71r8vIDs4ehw6HV1OxRv3pfNgJmtPV161IoqOw6bgk6UkHfLj9GU2KJ07cL97iOi0hbP9t6MzvSigp8++UjJ9RVssVNVIYCl54QDWyLQ11ImlaD/h1WcMWCy8XBLry2zUruS0qcf7UXglKFuGIe83kQCFFJXtSbPuoEZ6Ox5f70Ifuml9XsO7RQQG/ztPjBpsyEl+pdm15KN5t2efX6N5kOW0u4bZpYlmI3MVSzZpNq2E5lDwXZlaYXay1O6oOSTuEiMsiUN/Ljj1sx8gR/WJZqzeyKOCSMEtxbYQHgM9o1117rOgq2D6uUVmHp9sURt3dRXQZhhjMLsNewwkSQKENrcC1taEgwtD698vw5ViCQBHuS1A6aML4JjGDM8X1FU1xVTOxtvnKkEQ47+O34MAmSI1RMFNmqmkbaj3iHWYyClsluUaZCelVau1lsJyh02fKEdT2fGEyLhqU2qzpeSr9SGdhsTPZdFhtOMGH3Y4FmYkKq9JO5LGAQCjM08ftgbipolqR0AtAKzu1Z9lhleO4n4N4GGcn+0ICjNpAEYKXXTMrS4ZQ2Ny3bFJgjPYahHvwyPOqx5p+bQC1ptNYftagJkv1Yi8IBU+tmEZ/9sAEvHWYWfFWVmwWXhay/ppirfmEobE+XHEOgQ3i1cHGedvEUwZn2sLsqHse/+VZs5xoWdyFnxekdYGHj6NlG0I9jLgpn51uRCoDfk4G6J+0en3soUbhhGxcpLxlRZYMdztdiy0LWQEWIkDAY9jp2PaMq60pytknGIfTcyUHqZhRfSqKQc++gmLLcFBy7Hp+BW9RLoyebOM0lf7a/iY+g7Cl/2gKpmAnju1/OttclhwGf1r5o7HC0waP/NX8Zfk0E6xeFQKFQCFQCBQCqyJgvYo69Fs14qrhmU5tTYCuGr0NbwEwXAO0AdZ220b5LYyO2XT0029h+Ay2Ui4RC70+yrBnmrvp2GBT7nTtNti90VMUNFfCeb2OihlYta2RFcROfisVb7OB16vs2mXA7ThWu3b0itghUIR7B8jB/WioQonO1AFPOiXjnYm1/VdsJtirU3JHIdkbY5Tob6boUpHodXaaa12m8TbFa93b9hFhMUrStWFm3MEPzhSGFh4SVoFJLwRWHfLYltFuE19e7DZWummXu40dkR2EO9ysP9oJKfhfuU+ZNc+kFjpM8zGpkAAT9aP79Sjn7NjFo9jI2p0ARM2077sE18M80abm0CUYj+DFlS9p99Ho6Qkiv2DYWYTHtrPFbwXMM8N0jsc85jEaGo9D3bh7tbCy0TpkFZtqna4Ym3oc2oFZL+XOEPl6iXSxNlW2Ltnlj7vTiJQsrGz8kJVMDDlljPTUP1nknC/qwuFud2oxX9R6uwSB5JTJSFhQdcSYeld3g5kR2L56vVEl2XYaK+yGYckZymzlZKhtx3vpiLVLBTl2bHtEdwaIKlkctIramSwospEhLans8jBxc5fwSqUzEwxT4mujG5PjxHp6OjlEdNGy7XZZjocbkM3LUM2QZnDfnS8u5FLpX45CoBAoBAqBQqAQKAQKgUKgECgE1kbgdGvHrIh7EAHWG2zRpwrGzoATIlNvd9SfLBGjijimmkd1ml3azigYA6w8bd2nisHYKzlq0rK05rv9dkakoJ3uNRyKivxyIUbo1A9TePazn42BDSMnobNAaXoYLHwUm4MRmKkA8/6oAfQ6e7tYfpyIE/CaGOeesUKhz/Xx6dM5TjzxROenhkYA2mAOPNKXdMSv9eTGazA+4K+LMjxSD1cMyoBDtt3b5Im4l/+2BFCm2Jw1ABRLpVoDwVkqtKYPAZ7JPeWrdHiro2KOhmy7MAsrSxxNPjHTOiQoTkRSbc58d8gRB9926JPZZpn3ctlUbeca0YEAF/IM0UODMvrJP747ju0PdztXi2H5y2f7CBBImzucLnIEWzdgVhXz3iZLXtg+ruTGOz/hCU8wbdF2xzI7ONWd9aH03R5Xovbenn123si0EtGV0ChKi7wtgIHX+Nn6bMrtEKvhVIHNC5CJc1eZeH4v4eMjwqTnW/IJtkEVWK3NpCQKaWZNGEenmcTJwOUoBAqBQqAQKAQKgUKgECgECoFCYJsIFOG+TQD3VnTKXxSiGeMeFos6tlcH8NA0JXd8H4tRTFqj/jsNuLgQZmhYNirC0gJLUgxIIX/Dh4U1qnlDjthbhm4jzNp/FYZyNxp6mAITMXb1yh+CDaZCsA+svxEkDAPjfO3qBWbSa/h2oQ+rMhKHG0viAOwEFRhhSuLIkVEulXIftUQseVh9mcqRSTLML355GAA14yBCJB5GzEeT0hbzRyuGKYePc39UDkE6tP0dAaJLMBA/lcKUP9ghltd9dMFCsb1VzOwCwJxy/WhlhWxvJeoito/OoGF5WGSeotTVzitmedpYO+EOK/mtUmfmQsrl+8rH3Xfs5bJBY+caEY/JtFHeitki3/XP7Q93O1eLttjl3ggCpmkjAxXyTM3RNBx3PnL4bGfkhW3Iodv5CdNx2mVC5ZP9pDA7wrf67Eyct2d6HFMzRWZ0gyRLMq26vXl54Qg5LNuMD5MyzNSG4EHucqSJ34Y3a6c+u7GuXQn4oJjiiQNVEYUQl6m0NjrMh9aZ2gDlLgQKgUKgECgECoFCoBAoBAqBQmA5AkW4L8fq4AiJmmFd2knq3FvSsWWXAPO4hprwBut8pStdiX0u+nTuNwueuk3cAXnFQ/sOaW4n3BEEznq3VzQEOzBUScOxoiGSl2+zWO6mrycFR+OHBvFRD25WYV45rIrThXe7HZsnNMHxs20WqHl2SxT+mGOOaXXS2zBL3GDBv6DUgcPBTG0bCywK4Oy8K+NaTkSYKADPTv2wjR5uSvRENTT3hwQ0Rf7Pf/7zzJcLGSbPNF+nvejxgQ98YOgpt4IHZL1YcefkMNP0YYBeIZE4w9ypItJJpNQfivAZZYkDI6PLMcXwqle9qguvpaKbuX6ne5WPdCf1AcYWhsaFlIrRDyHbymbEzqF1tBG7NMig7pVLwLFmhx9+eKe72gXbyKO7E3RCXagrhrajKrulKZiFTbllUUfT2WbZtsx0KgD+jmlIrTAVIP13qBHDsj8itRs65Mv6lr/ZPzcy3O1QLRKlcmwKAZekDUV9rIp1M7iTT2vkaGEwvFzUGHXssce2qVFyJ6nlY4hoLy8lyBxGF6ybZVoF+TbZ7biH17EOBbFpgYoJmpY9F5fOQZe7c3UxtYW/of7Aih674tVjIVAIFAKFQCFQCBQChUAhUAgc1Aj86EFd+ir8KAKYtaNP+yHXsK54Q+qNoyF30xPXFlenynRopgM9irNGNKAmHe6mf3eOc5zDht8Vgi5MRyizIe5WzywwwyauvqSFp2rECWx822m//e1vd/Qe+XvqqadmyDUcEHPiHlHOjvktb3lLvC2SAqsuR+r5+EFUXSbLTYX5jW98o9PrArsJ3T6fWRtGb/H16FRFzcBrOCADrpNOOgknojweu0SOOOIIyukUzCn3CaAAVNGx5PT13NIOHOXvonSPeHxknPAECUQ12G2CBFqKuHUmWYgWQtRBEfuwww4jz2CPxY9yOsV2WSOg8fWMY+BcCHs0BBxkocXdM47C0BzudCUKoo/fZe2RyXjpu6/1xje+Mes3SCUiIvqJDgdoUPrva18PqJDMMuhX0aPQysgj1+iR07BLAJlOqbMrG16JCiSTL26pRc1AXlylkppq3vrWt6aY71pzoIWOdhc9HvUWTNbxxx9/1FFHqZ1TGnosmY10NBlY6GyORtyspzFBdfRJZTA2aAjdSXX0K42o0X1fMzmGrIXGKAyJB3yJ+sxM+KlXkY5M48wEMZuCbbNsU3lt6c/OkmIskZrsUCO6oYGBC1IQFop8gCzJkFrpG6RBxhNGYJLZ3Mhwt0O12BLnCrAqAt3xr4xOQuMi63ycOjeTAUYdFMN9+8NXl7zkJUkZU+ppFjN08zTcGSIyPL17w3I+pqMNwxNfLwXzQgbYpsOUZEnQJWLgRaOHYCBepfG0zs4b/1EZgLm+TRO8KeVq/ctdCBQChUAhUAgUAoVAIVAIFAKFwKoIHHgedtUSV/jlCHSbyeURdyhkXJ2KdGvVyjIvpDZmlr4nsqnVc0c8McZq558hOVSNsjnNdwy7X7xi/ATti63YJuEuNYrkeGRXhlKA9Yv0Ua44svve974owvDxF3nx+Mc/HgOrGC5eS/8znelMxx13XFJm6b+GgxkZHCXZSRje6VJQKgZ2cakKTEiQb+lIEmDgUtNnxoH2VWCJdKaB0d/3vve900iRjEhEGMBtk2USnSceVvGQyKjkINxlh2umev+UpzyFm22cUcLdK2Q0ApfJI6YJspCIaTwjLr5FO98ucegPGkWXQLX4ZRQ1BVSnkplv04EDJbpgKViLpyco4EzYADE2CvQ0XWKGcBdRH9C3u9qhoq5ylavAlsZoJr6jDpIDrJPWSVVWZSCMIaByY8F81owdg4vpJA0tpO9xPcIdY6ghmIdScenQnI3G3U7Z5ku+qbc70YjwJ9HRMdjfcM4ji6rnk7FppuwbmxrudqIWWexybAQB4sapj6sVOcvrm9/85ho55mDexdUbiXzaCye+8Y1vCEPS3Ib80pe+tERGiLgnJt/gCsQt5W0x0m0AaQn3PCzSFbszyJPRO8fwPFMXoB4LgUKgECgECoFCoBAoBAqBQqAQWIhAry27MFoFm0GAHvSRRx45E+CQfcUQB3VgXCft4BkQGCGhVfed73yHijQKgGLmVGCmSChxh2VqJAXV7FHdvanoS/zprVNUVySEMt03qvRTsVyyqthICpp9dPEEDgMaU+E37o8dVgAmoZEOVMsVYFWqmgI43Xykg7qw/0O7XDrDcsKE8iOaQxgK9aNhMhY5AQVef6ko+qX/0KHYLNhoTcqSKGxK5TAfBlvDRwH0E6bqaRAz5sv+/vKmEQsJpTdiPymkj14Yu6RIce6BiRsq1XgoMqcpCmlJamuHURGKsbiwaN/WTvSWaWqXMDhOkrFq12oTdwbCz6eqLdoPdjtla9Nf7r7nPe+pAzsXsjDKDjWi4YXxoriRArb6RncbZBRvU8PdDtViIYYLg5ENmEkXBl412E1ucpOhObJVE9lUeANpe9W5oc+loKOJ6yTElvmK4NCAH4+OzjBflq9e/epXGz/jkcSRJDVfkZapfj62Dh/Ce97znvQh/iRmE1cK6bnc4YBU3E5hxncyLCMyvO7sUTxqhfZsDRNPxJnxyrUlrVjXMqAVmmZqUxUHaUvEZ/h5B5nxQmp+Pp16WwgUAoXAIYgABaAdqjXVK9fe7FDilWwhUAgUAoXAIY7Azs1fgC0N90O8d+1q9Zmk0Juvec1rzueKZmWvdj5MvMXWIaf8lgReLwwe329JXByuzf+SkDsUhmokky/bSRwfTbXfbz6R5ZhIh7rulibCIzt9A/vpN5/7Gm8paPutEVEUrBYV/vXitrEokO50X22zm3Jj+Znsn3o7749kt+eZD7Pk7ZToZTtlW5JvFyYEVAwZdf4zjzvUiEY81nVm8o1XmxrudqgWW5a/AixBgNRzKlhn/mi51LBNcHn6hm4RO9GaOWKhHHRHV65tjUbdit0S7uSLUZ3RwOk5tPOer8pRCBQChUAhUAgUAoVAIVAIFAKFwEoIFOG+ElwVeH0E6LQi3DHpM0ri66deMQuBQqAQWAUBqrU0cA+skGyV8lbYQwIBxx38RkntzoYMEnkNRDpbK20KYUMmfeJAUmcWhpExV6dkmD3rUOxW5f/kk092WcieLW0VrBAoBAqBQqAQKAQKgUKgECgE9h8Cp9t/Vaoa7SkE8Owu8HRGnkliJinYxd5TxavCFAKFwKGJALtP7KcfmnWvWu9lBKZMyrihui12Z9K9fTXjdoPC6Fv0dBhny7eRfneAzGyeAfay4yAt9l6GtMpWCBQChUAhUAgUAoVAIVAIFAIrIVAa7ivBVYFXRoAB9LhjzYFuFwN22+CVk6sIhUAhUAhsAoH2iuNNpFdpFAKbQYAdc7cZd2m5TMLluq3neocz3GaBuB+qezOnnjeOyoWGuKuhORgQcxDkr/7qryJrvPwHPvABxtbbknC7pYNl9lQqv9SlLsVWexdmNx8ve9nLvupVr8ocX/va17oVIB/T4d7mZz3rWfnIgPtCA2gZpRyFQCFQCBQChUAhUAgUAoVAIVAIjCJQGu6jsJTnxhBwkekznvEMF6+9/e1vv/nNb76xdCuhQqAQKAQKgUJg3yHwwQ9+0KTZVst9A/e4xz1w7ul5hjOc4drXvnY+ruRwV7B7pNsoOPSTTjqp9bnBDW6QRti7W4Xvd7/7ufy5Dcy4/H3ucx/XnP7Z//zM+22A3Xdf5SpXae/tcPH18DiLkwQPeMAD/qfIf8a6fbHtu99SlWMhUAgUAoVAIVAIFAKFQCGwXxEoDff92rJ7pV5uIdvmTZ57pSZVjkKgECgECoFCYOcROP7449/97ndjjV3azOq660862+tHHXXUejbclf1rX/vaVa961etd73rnPe95/+3f/o2Rmbe+9a2tertZ+5a3vGXW8vrXvz677Z/73OfCB1kvusvPf/u3f9vBNcrvr3/961O3XRhs+1BDP1PbHYcbZckA7na3u2V2T3va0wLSs53tbCzdfehDH3r/+9+fbznufe97t4/lLgQKgUKgECgECoFCoBAoBAqBQmA7CBThvh30Km4hUAgUAoVAIVAIFAIbQ8CNqe5NpZTtN5ror/7qr1J4H321pWck/oMf/OAFL3jBVOAHPvCBWOl8+2M/9mM07g8//PBUsadxz2BLa7MlA//0T/80aUFqx6f/7juuda1rAZB9nsyagTu/fGwdN7nJTdzo3vqUuxAoBAqBQqAQKAQKgUKgECgECoHtIHC67USuuIVAIVAIFAKFQCFQCBQCm0Lgmc985k/91E9NpeayX/rmP/ETPzEVYN6fYjvqfCYMKv/GN75xF+Bc5zrXq1/96i0trpzlLGd53vOex+Z7F/1APT74wQ++853vvGXuVPgf+tCHbhmsAhQChUAhUAgUAjuNwJe+9CUy4GOOOWabGW0qnW0Wo6Kvh0A133q4rRTLaU7f2re+9a2VYgn8hCc8QcT3vOc9q0as8IcmAkW4H5rtXrUuBAqBQqAQKAQKgT2HwPnPf/43v/nNw4tJaZpb37/xjW9srZOvUXoa6PjloUUaRPkpp5wSl5wPk/X2LW95C/vvP/dzPzd8+5M/+ZPK5qaWC1/4wsO3B8qHor0CExX83u/93qjS/fnOdz7K+zZObOMcqEJWvoVAIVAIFAJ7HAFW18zLfm772Omi/vCHP/zsZz/7+c9/fpsZbSqdbRajoq+HQDXferitFMupR9+ai4hWiiWwq4xEZJ9w1YgV/tBEoPYYh2a7V60LgUKgECgECoFCYC8iQI2dLRR22z/ykY9885vf/PEf//Ff/uVfvvSlL81gy2hx3f856j/qiXp2gfmRRx754Q9/+C//8i//6Z/+6axnPSuD7Be4wAVGw6cnVp3C+NFHH/3nf/7ndhrf/e53//3f/52NmnOf+9x49iml+6ee9stEWsdNT/u1Pum+4hWvyDp8Pk45llRc2djP+d73vhdgMowDTzZzLnjBCzLOM5Vy+RcChUAhUAgUAoHAf/zHfzC2xn2pS12K8LtgKQQKgUKgECgEFiJQhPtCoCpYIVAIFAKFQCFQCBQCu4QAkv0GN7jBDmXmWtHLnvZbNX18Parab9WIBzY8jX53vR7YMlTuhUAhUAgUAoXAPAJE4De60Y0Is+eDbfl2U+lsmVEFKAQOUgRueMMbUhyZ0mU5SCtVxd6DCBThvgcbpYpUCBQChUAhUAgUAoVAIVAIFAKFQCFQCBQChwoCrMbd7373235tN5XO9ktSKRQCexOBe93rXnuzYFWqfYZA2XDfZw1a1SkECoFCoBAoBAqBQqAQKAQKgUKgECgECoFCoBAoBAqBQqAQODAIlIb7gcG9ci0ENovAqaee+qY3vemEE04417nOtdmUK7VCYD0E2IZmKvoSl7jEve997/VSqFiFQCFQCBQChUAhUAgUAoXA7iPgrlTXKsr3P//zPyP3L3zhCz/1Uz/F/bM/+7O/9Eu/xGGt+5WvfIVVil/5lV+JMD/4wQ8++clP/t3f/Z3Lz3/hF34hPN168v73v99VqC5alOyZznQm159c4QpXYPglAuTff/7nf3aFCbNv5znPeTLBv/7rv3b7yK//+q/zccfjH/7hH37uc5/79re/fcYzntG+z8Xg8SoT4dhUOm2a3/nOd973vvephWtRlNwd71e+8pUVVRhXwvzLv/wLEFY10AE9aaog3M5ylrO4zPzyl798d6872P/t3/4N8uc85znb8rRu91h+//vfdwX6b/7mb7b+4PrgBz/4qU99ClzuvJUIxNjih38bjLtrSqm5Cv6LX/yiq19+8Rd/8eIXv7irdNoon/70p5X8b//2b3myAai5f+u3fqsNwK0byNe1MXHhvMK8613vAuC3vvUt9+KAi20/l9J3sbZ81J3e+973RncKWPSl7IHD6DrDBz7wARfw/P3f/73OrDC/8zu/I8raFxL8zd/8jQJoO+C4wseNOMAZQtqWBPju3fnYxz6mDD6Bn//5n7/oRS9qk3iGM5yhDRbuL3/5y66NdaFR2Fb60pe+BDc3G7lNwaen8Je73OWmCr+8sq4jgoZijyb1mc985o/+6I+0r77nY7/QhS6kjqc73RbKyhL8sz/7sw996EOaWESfycUudrHDDjtsmEXX31R8dOgYglM+Bx0CRbgfdE1WBS4ERhAwe1mfrXHR9kha5XWIIfDMZz5T/4n7oNarujXfi1/84qtc5SrtYtSaQ5+cWf+tl1fFKgQKgUKgECgECoFCoBAoBHYUARThUUcd1WZxxzveMR6vf/3rx7IZZ3e7290O5e2CcPagn/GMZ7z0pS9FPQv27Gc/G+GOdHva0572kpe8xNs2Ke7HP/7xt7nNbTLNeIvhvcUtboGOxKqHD/7uLne5C1r21a9+Ndb+oQ99KNa+TerJT37yta51LeVpSb1NpRMZKbzNghvIVafN+sQTT3zUox71u7/7u/e///3R4h4xyG2AGTfWGAJI7S7M4x73uDvd6U5UdtL/ox/96BOf+ERk+imnnOKO9/RPB0LWLeza6653vWtLuL/xjW8UkXggQ4YDYujmhz/84SE+Cc+2KSmxqVe0Y7xVd7fXqCBhAJZZfZGqbbInn3zy1a52tYc97GEhgYhXr3nNa571rGfd/e5316ahGNcVRoJ/8Ad/cN/73heP3KY25cY461fU7FS2DaNG173udY877jgymNafWxnk8o//+I+tv16KC1ZasofWf0u3VgPpm9/85i5kNP2DH/zgEC10b9/5zncef/zxOOjWH6T6+bHHHgu31p9bOuQZuod9pQ7/jne8ow1gy6nwj3nMY3DZrT/3SpXVKPrz61//+m6vSnjzyEc+kmygS5wAgP/MJUa2wzpVSOky7ote9CJ8/QMe8IB2j+xt299Gh45MoRwHOwJFuB/sLVjlLwQKgUJgWwhYvlMl2A7hbgllUUu/pltMUATYUhdgW0WvyIXAQY6AjdnNbnazthLthrn1X89tN9IKYu2K10unYhUChUAhUAgUAocUAqc//elvcpObqDKFXAQlB549FHKpu3ZQYO4c6KT2y58iNhPq9LW5MbPYRoq6t7rVrSi6YhiRa3R1cYivfOUrsbEUhBF/XWqjj5R8WZ2mA45XPe95z0tNnqIx6vMVr3iFRbjlxIMe9KDRiJ3nqumomhxtFhRVLWigEyRQAKewjPk9+uijn/SkJ3VZbPlIWZ6gwu4DPytNtC+IvvnNb8KKcEKC3/jGN+5zn/tEOpZJH//4x6mT83nZy17W3ShLo5k/Atoe5Ja3vGVm/fKXv/yxj32sbYhLaFG6Zz/72bnpm6PvFfs973kPW/nEJBk+HRhYJC8e/HrXux45h9aXO0KZmjx2mODh1re+NZmH5tagCoODVrbnPOc5b33rW/HmsMqk0vG85z1PCk4t3O1ud8PYYu0x7wDkryeQVYiORM7wow5suzILr60JJBwvwORi/z/ykY+o0ete9zp6TieddBLd+YzO/ylPeYrjETC80pWuRNeeGrXjCM9//vNpcCuM8EPaOqN3Do1CPoSPVlQJqr7mUwCQkoXoIQRIUtYz24heBc4KQCpgtwhSRYWzuvhAnG/oxE4RXX11EiF9hppDC2plx0eIHJThmGOO0RnaQw8bqSxwbn/722tTTe/D9KXDU7dxTgJ1ftvb3lY7trVL95/+6Z/e+c53ppjv2xRRKxMR6eFkAIRnREEkBJosw6djaujIAOUoBAqBHgHzhHGkfoXAbiJACGxKcMBwNzOtvPYHAkceeeQlL3nJ7dTFQlP3s2rcTiIVtxBIBGKL20+uG3qWeGZUjkKgECgECoFCoBDYPgIbmqJHkmEDZPvF204KGDGrXD80XJcONVj+NNCf/vSnc9zznvdkZyPDvPvd7+bJ/MXXvva19EwHwtFbXDNN6vSkz84TvZg+7FrwQRnzpHaNhcxX4SAMEODCF75wm8um0pEF+juKhBjtska7I17RiNe4xjWEsR3oAkw9oumFtwEZQmozCzFvyRIyOlb3qle9Kk8ccXqGg5o2f2UIcz3hyZYLcyX8NUEX3iMOl4kYb7G3+Taa8gY3uAHifkjm4MQhLApO+fd///eJOjJiONhs8RZ5TZaQr9DZPB/ykIfwp7k/bDsAOkUhDMY5Y3EMm4/nc5/7XCGdIaD93Qbmhg8df2+hka8AIl/FbquZb/Ul4QkV0mfegew+4ogjRMEmy64LrNbXvva1vVXZ9hVKnedFLnKRtjUzgPMNXgnQvQ1MZATqIbkhd0c6xCJhyqTWqCwdFIm0vdqXePjhh/MkWVHfTDwc+uqNb3zjq1/96hh5YZw4yQCKRJzAk24+iVr6h8OXrhV0SHKCfDU/dGSwcuwOAiMTz+a8trBDtLmMKqVCoBAoBAqBQqAQKAQKgUKgECgECoFCoBAoBPYJAtjGF77whdSr2c1oVW7f8IY3qCH2kI3vYVURlBTeqcTSNR6+7XwoF9MrZ3tkeHIUDcomBlqKinEXa/i4ajqU8Zn+kM4TnvCEzvIGTyZZGBihNI2AHuY15eMcAHssrL0zhBLnANqQbMIw3MHHzWREHfGKIjl1dWcOcPqgzvB0h1/72tfyR2e3lt/5O95HnYjpmAycDjbHMbke6ZinZzhYp0GbkgR0/ix9h7Uc2u4UmZ1g6AIwK0QnGtkqQPcK38rsuNMJw7YDIHkGOzC01MkGuojtI7bXeQg+wLnABS7QvuKGj4YAKTQYNom3dK6Vh6l9NerCe8Qpy5fsgSxh+HboQ78b963HUlfvDhkITLUf1c6BOlfUiO7wQTQl/W489TBNYhL2dvjT/taLugCkDtJsbQRFALkzOsStM2SUjVSWyjyddKZjlKc1DRS56KvqzjjPsNswKMQ6K612MgC9MUsVDl+6Ewk6pLbuXk0NHV2wejyoEfjRg7r0VfidRoAE1URrumrnsDZTZ4iMO0Tu6WlsdVTtT/7kT4wgjp6Ze7wd3uVCDkzM61RaRmwdxKHmDPnyNNdKUDpxe4zhzCRtXo+hto01dJtyJEV0SUrpFJW50O9HfuRHIqSh2eG1TLmLbpS3KOneOmekMCZjN104n0XnwkTe3ZHizJGhVuFNcmYCj8rsyBVxvV/kLjpTbrIg2TZ1uWgFFFkwJWHYS7HNQ+ZmUnorNjOiqchiS8oCO6bUFXj0cR6BjAJkqx+yVoDwdGhLFiSxGWBLxxJk2kpJ0HSleJo1M1JTsm7BwGJWI5bXefSiLXNf0kk0hF6nglpHw8G2m8LZRaECIFMH5XRjBwMdHtSNnYyzUhG+W1604ZVQr/jEJz6hXSgLRIHjW4CqlYc1jUOg9FO04LA6dFLiZh5NrOfrUVRFhmtQEZdAlB+XxTe9GJ1QUcH4G7/xGwpgGREFkJQCc/uEfYxve9vbuJVTb4wA/iq5grFGR3FA1XxEup8VZy4ZfYyiW4EJrDUjEQsOK9FoFBcNkerHSEKLYbT64krHRzEcSZagl6UtRyFQCBQChUAhUAgUAoVAIbCbCNi5WOtiFbtMLYz52Fl0/vnIJAhrFfaJ6TPjYF4jl99dMErZlGftRDr/0ceV0mGvxm7CbhdlPJqaTRN6mvL16NtRT8Ze+KMgpzYFdus00O0TcdAuiIpEFIAVERw9Gyn2ZYy5YwMe8YhHeMu/45QDeddyjhaAZzDmo8hPHbK0jbKlshuiaz+arC2t3Xpco9oFoMDebvPbtwAkkkGmgyXEAO3bdLNMgs2wZW63afmWA5hOG7hF4FWvehWL4XzCoqDdaBss3TaGV7ziFW3Q7AeDY8lXQ4c9Ha1//vhxG9VhAD52eWgTCBA5xIYOfUH1mwhKBUej8KSYH8ZwiAqUvw3GNsvUlQBhwtQOVOGjF22ksnq7AqCYRq9y9Qppo98CuS0nvXgyFT5kGFP8jI+ORrz+kwWOFKaGjjb9ch/sCCzi7A72Slb510bA5G3IJshlsmqYCJm8YdcMlzQZ8ayjNJYOxj68njEFPU3ox+YdS2etqJAJFCMjVneYLB+ZIkNRe9woSAbLaA2YDBjtMqPHkDpPuCO7ybpNOQY+SRk38aeGUeshAvOgMnkqLctcZji0YFsSV804LoR8JOoMfzdAUltwak+CJPwIdJO0cZNhMhMzqXVGJ2GWptLe4x73oLMgd8sjEgjTidNGj370oyUON7UgLccsoxTNMbh4BUuhqMBKa31jdJagoprmZW3lwYcAQ+BWhyJzT8cSBCIwrtwRSPy+VqOCYWr88Ic/rOJyp02wpUHh5chkpbDezO3FYugOd7hDEO5WErQnTFpmaw2kVCwSspSnq3QijaxjOuY7CdKcQT3yFXoEMLdooAOi4Rj1U4xcvKLX9TRXGzkNqrtqGjhbVZB1E9c7K8qin2bKTDO8fkICT7TjlbVdEO6kKVILRRLfAgfmWnXkyIBdJmIVK0fGWDQuMYCeAxYhfTU6MOt4GZJjIUTxcSmJZtW76HHoriqlhJLV50napaZzKmGmH24dIFdy8NddtYhVqS2BHkvA5mPxEZHwq7W4LNmlZoRPzI8ndQZRRJSmb1x4uZP5W0j5KDLHdOhyjogqcI4kC9HLFMpRCBQChUAhUAgUAoVAIVAIHBAEWBoZMqrWzAoTC+ZhqSi72B3wtzEZvu18bBNiX9z5x6NVOoedy+jb1nPVdGztRaev0ybSub1dTrjbTdgUS4FVkC6d9hHPjnC3IU3C3Vtcp7h0iWymKFzT97cBxMnyb+Ny24DYm9ON6/zzkaoT9xB5u0LblgzWOjDjHmOz1vqnOxp6SHBT2Jqh/kW/5jWviXCnBQUcW/5MsHXQTPIYO7jWv3XDChcMtPAMGh0Djg9hKqcNGW72Z4aeoz72jHgP+pe5UxsNZnuoE2Kl421caSDr5DeGsQAugK2rwB3hnhvSYSyQ2jJjomQXhPv2K4sJISyB/4zYQ0k0QUe4IwT0Q5v9TurTFlvfUB3bZL1ac7evRoeONkC5D3YEinA/2FtwZ8uPIDYC4klHxwIXm+DUcr5ExpEwUwcmeU5FcuS7FAz0hunhOZqVSo/xdKOI1Yaxngr2fFyXRKMLld+MGxd/m1ORyATjhMwmaew/jWOiSMUzYUs5JwMzJR9iZAWOQVxeVhLYduyhBNOTRAGBSORL6k4DOouERXUHCHVgdGTcHEIGi/OFmINdwuNkiTotekShREzAgLuHEtNgmQgHLXhgytHgHuIKizNCVDw4EYhlXFStjZLuJQgIbGpnedDNLZBJNlm9nKVyn4zyt7KETLx1rISMiLStFV5zuCSHKnRMkGTglBQIFXC1qXhuRYWlJVnRXvPShSzPsJNoTbITqw3pENuE/ADDi9wPrQ0tldE5TLegMPfrJ6nSbnnnTlH8tSmWzkUbnrxBt0cQ+xDYYcRue0vHRHZ6FCEN9YEIj7iXiMUNnYJcProxCfUvjGJEa+o8+glaXNfy6aUoaFWIyAD0YeIZAowoAM13ggQ4W0paFviUQiAvI0oisStIqRj1BGVQHS2i00YKvnffC/mQjhG4ccgFPpLVoCFLiCVpRIm/vkTyA/rvRE0p4cgAJAHkQ7mIXI5eplCOQqAQKAQKgUKgECgECoFCYPcRsKEbvZN8ShcYUUivyL7SNnlhaZGYU1SsFIJZtpbeMrWV0rHHCa35oQ2TNiMbDVubIdHchkk3tTPltJHPDU6+ah2xGXTEtvUk0rDdsFkmqLBTc/rWXtuGdyjqUJ42YrptP2kT2uHSCEzP1mEvNhU3gtFhasMvcdvqDkvYRqTtJF+EAHCmlMyoQotCi7yN2LlpBOoJ9nT2ufgHmziciU0Wc+3obIhR5JrpRV1q7SNO2SNCOfeJ7dt0x7mBfLQ75h79NDIMRyje0bXX39pN4qghpoyopr6j7PPbr2wgHGqamcvQod/qdWESIN5GL51vGiGljHAXuCXcp4aOYb7lc/AiUIT7wdt2u1Fy7CQaEd2JUBsOl295y1vI60IMyBwEMtGoQYU2CT5FNK9j6NB8OETcH1X39cqNBmUSxCzbDlJTSSFqse2EybLOGc4MQXCqRthqN2iHzr5DcKpGbRyRijaNBFGx+FkyBvxp+JieGYwzvFL4badhzDv+1AQGipZwN5iikgXOaQN1G5rFCHSTX6ueb4r1igkRo3BHuGMzlbY9B4DDRdbDGZ2KzJXFKAjLESBoNWegpJNtl6B6yfeGN7whlWp0fFvlLrtVkRGdQrf5WNXSThENdGyslQHxfpDOkQuxjdtmtBr2n254l/XwcbSTSFNrqqBfRpEXHhlTjO+ml9HqMshRK+DWMzCH06D8GUmk5I6kblcbehomXfdw8C2jCGbdKeuWnbcU4KPLqY6jcNTthUejS01hUgtDj9VDiMqtIFHbeH/BVoVIeKWylM9kJUK07uAeAQlBjh6oWcMaYwghOsuMlO5F8QWRgnDET2rEP3qXvsqhqD4Kryiw+wvVLpGI5a+IDmASKdG4j3VVvuKQWo4kHpej1yZS7kKgECgECoFCoBAoBAqBQmCXEbB5ibX0aL62G5SXkY/oVGwvLVq7ZiGt/53oxRqPxuo8Z/ZiXcj5x5XSoS5GDUiCqbM8mrjtABqaEdrRt50nWpmPv1OWWyI80Dio63XRbR5tUWmtha1L+xS7jy5MPio8o5fA99e2CPKJthqNSjvafVOm0zraPWDrP+Nu97ZTweynYOI3GgCzTOfJq9GDwm2UIKBtAwMWzAnZBiYHi+KHQED7ssbjZys6A12bJnc0xNQurwscj8ocMpgtY1ECE0WLU1dvi7RSX5XCNisbfWNeDhRV6wj3aDXwzndp2o2id116fuiI7OrvwY7A6Q72ClT5dxqBoMgRf11GlKBxtVjmmJmo4hpBsNgt2x5RTMOUYQ2amD6iyy6dhY9k0fRnl7DtEsR+YroJAGTdpY9LJWemzJsSUeyeg3i0jOOsFjmwypJStpw4PtEcgCgcDv3qS1ZMmNxmZIJX2mTb4xU5baxXWDJpA3MrgPE9WMv2lUmxZdvzFV1gugYuhNEK6dk6liNABi5ict+ZiEq53kSpWhFuvk3HqsiISMJBhbzNEa1vVmZUZLgiwWKDy+EJmiCZ6ZRj2EnM9EheEznxyTBWmDnCSrevdNGjjz669Qk3uhzhTqVCLu1bHYa0oGXbGYJ38g56LdseUZDslkowZ6MmfMy+zsQNl3fs+Ti0mOvCVSFSCx14mGycRwmT620thm66DJZoLdseYSw0meUhD7AKH8aa8bnOda7jbVY8QzrxYClMxhClXQm9TKQchUAhUAgUAoVAIVAIFAKFwO4jMMW24xApWjnGak1Oc4hBS+tz6lz2y1SmaGsNd827X/iZHINtFyBPgU8FXk5DBwmLPqY7P/MjmZAmva5hjpTYEMf8bbRn9LWpNOENcKAU1Ow+bLgoj9Picnja3jAv3Bqmv3GfmUJmXsEwBDjpmY70n0EsXqE+4GZbHXFlbX9NOYwmGe0xuNmiOvHvbL2dF4U/G7rMZcYRBRjSIFtGEWC4G+1iKXA0aFazC7DwcZuVjdy3LK3CdDhERHv2+dZBlKkp0wJtdaaGjjZMuQ92BP57tKpfITCDANaPqriDVxjn9mQcpVTTcFqBwEKa9uh6jyZFgI+apxqM6UvzFKMhpzwNf7e4xS2m3rb+Rj3WMJiLUfLWP900ba1+aBkIw1OliMfx4wh6NmSoFSstHeR2bWE9ZJE0OiYaPQ2dwwXB6A055P8o8tFzeV4pUhYyHDNGxKwhTJmY6DTpk3FXQiAsuiDoCbo7ETTd6lCvzpSHjjWQoTgP4TYpGtPQbo8ItG+1FyM8xCHDq3fbYNzDTsJuOy0S3XK07Vg+cW6DqTs9OWUzDK1082jmAuoXvOAFJNhtUclmurZWHVGmzB1S28ewq06cZoC/b8cBC1C3EhoCiVbKtSpEqjNq+S6MPIaUJes16qAF334CGQZWyy1OZiwOy1z0vdMkFnnt0jPuWc2RZCX02vTLXQgUAoVAIVAIFAKFQCFQCOwRBLCclrXIRGt+xhUZIMW47ZGyLSlGbvxtHLq9Wxc9NYQ6/+GjTRBPGtaOmw/fbuljk0tfytbbpg9rz22TGGm2cSVOu4uP3dDhhx9up5Z1iWD0pdrwO+qOAw3zWUSYOP08DJkV1J1Gt7TDKK0PjWzXlvqxTIttsDtmyZZ1fkS8gxennnrqUOOtjc4dBcMFdf4zj1kXnH4HfhdLa4Ye5Hwf62JNPa5d2TDBv7yxsgDROniqNJaQr8pRCECgCPfqBlsjQMkdhU0OHxRhRPCIn83bIdi9ogLcngPq0sVLbodwR9NP0aBdRuyHmE6w7cSM3at4DLIvCXeeqEBDJLYd7Y5PZAc8rbRHFMxjO1Ugzd21QvWb+D3owi4jQ3aM2p2/R9PkaEUwpLLuwg/1izNAsPajdVwJAYQvBpxlFa1MBcO6RJtuaSI/i7EqMiJ29DQft25SQg8aN1NOR5yKGEojMkA6hp0k7vOkpz8KlIh4besAWafVuRnMSRcs77qkRqsjZR2mC5nldNAhq+NGYjrdbgN2XoFogVK8WsglA4djVYgsWUa7me5nre8D6dIfPrYd3gKLuR4oOclB3uBU5jD8Eh8W3qmZWOS1EgsjicMfadUnmmwheksyrTCFQCFQCBQChUAhUAgUAoXAbiJAVQs9inZkpHFKZyjPW+9mwZbnRVRgf8QSy+c///mZK1ttEMJcxpKUwwb6/PnpmXTYk7HPtc2PbbvtCQPlfm0UhWG/lA+LnUy2tq/SvZvIowsy31EHBiAucZ0y3WNP50fY4FhwGGAZTWdLT9t2Z7L9HNqmt3fXu95V2aghOu4/HxeLLQDk54OdZhTnu+ggFcG32I2SxDiknnzRaPTYFIvV6mONhlzJc9XKBvjREPMZdQ26zS49n1e93QcIFOG+Dxpxx6uAhw192yTcDZ14Mda9I2/63c4uTU0SESbeLp+Pu1opQOcz9RiWLpwd85sKw78riSNmFIoZSGHCJU23t9FxlG9/+9vJw4mFI65ZgcgBONjqNiR3HIzqPOOx1WIeDdB65qWdrWe4Qwg8qqq8KgIM/lhFse+G81VH6Zs5ML9sgAzNbQ9LshIyondNqfPQUIA83n+YePp07ZX+raNL2asQxTvB0AYbuiWehPsM5trOaqDDfCpTF7QOM0ofy6ZwW4IzF8O2u67lr5/Ow5SQfkUjIxJfAyKLjMxrbQcxGz13pyhCFqL6JDF0UmjoxDU4q6Zs1UvfBMOehLulm5GkNd8UTbYQvVULUOELgUKgECgECoFCoBAoBAqBnUYgTJXSNZli2xVgbd55pwuf6aNKEe5Ous8Q7rF5zCjzDnYpqf7QXZNsbr6GUVyhSVBh33HsscfmW7uSuPsK7Y5zZ7ObwpxtBeUnm6YMxngpPh2tPMW2Cxlbm4yyow6bHbzzjPo2eQbFaupWM12FPpZ9GSWtGcIdG+OON3VxXt9O054LR8+qaqdHGJWlunef034UobasfuhF4UCoqaXq+jAW7p56JSM2sY/TeRzjpqo1T7gLIKmhIdZh+jM+269sXFersdACw919Zo0E60gJTeMtcDLMqAMyH/jABy572cvmqe7RYOW5/xAown3/tenma0QrljENVkcYhDF7ycCERyM7Lapj9zzOy4rD6MpC0WUoNbc1kX77OOMOqtEUm6TeaODO4AwLOWFCnT6CySz1bSOu6QoniGQ08aOhaevTg2adI0qFMB3NYvueAdpoOoH2KLO/BgJs1/hZDZgt/vzP/9waESB+7Ke7G3O0AOG5BjJdU0ZpKdrT9Z7JaGaZkrG6lPmHeOPud7+74xcZbOhor0GfwVxEsHfq56OZypfmxTCj9Gljqdp973tfhyKtt1hOZ9Ac/pYsjMs/9alPRb5vEKIswJYOVwc7pOmgxlWuchULWQ1EvBQnYY877rgto48GsHxhm97aK5cyVslC5kjCDbqV0BvNqDwLgUKgECgECoFCoBAoBAqBA4VAKOiMcp1RJBsuCssHqngL87VEt1a38Wcxo90uZXTVZG8zH7d02EqgVnGsrn8bvTQrUnjFK16B5acPlwnap4cmu9uwbI74s9KJ2MXLu0yLPlCeUd4SebvXIHkz8R11oDWQrTO6RGFEFBUbO77Rwqgswh1oM3TtO0/7MZkbel1UplA3rKcyZzSaZjDFSwzFEJM4542MfvWrXz1l49ceOVDNw9+Obtv0qR0TAmkVpyuJtpAmT0RE92qlx+1X1qeqX9mMs7TTdryuGEM9S33PyWwCJLcbTokN9IHnPOc5Lhaeab4uo3rcNwgU4b5vmnJnK8LeCMLdiIl+de4JFUv3maWOyBVBRid6/gxOvJ1ZdmQFKGgvMXmR4TtHmCEz8Jm3uldTj6Zwh87o4N/rXvci68V+uk6kZXjVHdtOeK76wTm2SW2ntG06Qzfxe4hbR1/xZIV8+GoNBCIRVcaH+jli5ngXW9uWO4TSU+bIxdo+MjoPtXHz0PL2GlZ5yiegsEBcnviMygNNfExxJ6oZZi1T1aEGrl7Dt1M+cLBC8nOOBOlv8eo4pP5mXrf82jmIRsuD9Me2Kwzj8kMh/3Y6PE0fuvx+caCBRSYLwVbDZT30RmtRnoVAIVAIFAKFQCFQCBQChcB2ELBEj+jzSjldFrGRZHO1849HPKMLw0Zf7SlPiu12gvSx2KM/+eSTu62NW2FtnBWYFtrMBqqrEXUuzKwtJDa/uz8sQtqEohooJ+EfwoeZb5t0G7HLXe5yzKFkgrS1lM2P3tKLX/ziIJoDecypDcsohf3EJz6xO6+cCe6Eg+YishX7HIZZuiyc9A3VvSOPPLJ71T4iat27SykQMqMbcz2KhVJR8ka9ww47DOGOzp4i3EEk/BJDstoCae6+WWVgDOCc5zxnW7ZwUxRzsx0Vt+QuHNfWvgyw0ELDKgyj8PHq29/+NjZf4NEACz03UllX7DoioLEgPMqx+JzduEt/VIfMgnm0vdWf2U1lMEBz56t0aGJsu8/EnXnpWY5DBIH/b/44RGpb1VwbAQOrq1OJuI0vDmoRyHcCOirhPJ2ymcrCIRqDtUQigMFo6l5sh8imElnijw+lg4wxnApsorrDHe5gbo4AamSSNoW7L96F3be//e0dczOjtBbVaRxbbJnph2w7sfBURaYKsNwf1FOB49Xo/asrIWCeU/FhLkTZhBD83/ve9w7fps9GkEHskplPLX10Ku2F+s9MlzukLPBMZzjxxBPdVpqXuQs8g7lVjqXbKOZtkeYzJf931C6wpc/Ono9ba9ro3LqZA4AkH6ylh524nYOoyzoeNSuHVeyQbedPhj8aa4mnhTtBXZh7Un1G4btbf5ejtyS7ClMIFAKFQCFQCBQChUAhUAisjYA9YOjnTrHnoyljAPkztzI02cGSjJPT9pvBnC6nqkcz2lFPm3d7FuQjXpiuDN4QqWqPbPNLAx1HTLOYphpFt+XFoAWFN7f1BkKcL2/j8rFRsl1CHCexS4fdzVj09jpr4456My9jt2LHlPtZbAOeAS9BdandzstFpqqDg77pTW/qcXeQx1Arj80si/NtTbntf2m5qSytvnm7KxSS4iw4BKiNd+mgI5w/Ruk6kZwbK+2FC7bNtNkfKkuRaoTNVWf3u9RGH0lHVASAKhJMfRsMR2RPzac1AUTa4VCCNkJSe6uabRSPTnJTLPN92Q4POZY28JbujVQWdDoP1U9Q+zy7TB1J4U+cc/WrX717dbvb3c72FqSOXwxPDGgvB8dFceZ+VALUpVaP+wyBItz3WYPuYHUImWNyRZax3tUd/InB/bnPfe5oCYxQ5mOnbELjWBgzN0nscCzzymmp0UQWehrWTeSWBUmpdxEV0iui1PA3hRsfb3vb28YBKIQ7B8F7e3m6ohofR2cCtuS69Df4aPYavfYdQexsmuXF6MGllRCwQDHVjR5pjJODw2mjreBGkNGXqIQPj2hFRqh2R7SWiN/bgoWbjN3BBTCOCkVI1ImjWc1rj7lZ+uirw6T4UPr2d95UkQDxaUxJCEy6zBbFwlRLEf8wnT+aXYv/zkE0mrVm5d/CksHoSvi48nFVh0UVWZ3zIlh77UIVpVO7WI7eqllX+EKgECgECoFCoBAoBAqBQmBVBMLW6AMf+EAKsDTTl+z+LnOZy7gVzAYHy4YMtb2lfOavRKyE7T3RoKGIdtJJJ1GttVletVS7E94WzKYYHWzfxGw67TTFVjuVcn4df507I+z8wiIxMm6PZi9A2x2kdgQumGW4httJXzy4LJK6tVdyyF7i2NuhJhCiU6nkK3q0CzV8pDAf1mYQ646tQ96ZWgrIqFJsO638OGhrx3e9611vasu2sC5bBrOfIgxQKSIEra+QyqPKD3vYw0gs7MHJZuKgwHxSRx11lBScKsDqYn5VRDoODTNfTsOaspQ9L2I3+Qr61LKTpmPTaBz67zahxD8vf/nL9Uk442G0481vfvP5fPOtWlCcUmCoOoQdFdE0BCcU2HH6HBLM8BxaGezkDdpC4SmPv/vd71YMbIymP+WUU4gETjjhhPgQ2oirujdSWX2MEILQwlYXYjgiAjMgkzPBnC0dQgKf7dCKvX09iQIuHoOkLbhZ9xFR19JS4mo10fNLWbV2Ff6gRqBMyhzUzberhceLGYMMHCTMzDobH9vsWRZjGsKMyNRMJyklCTcKI6wNNxnFwIpFdfgrZ9N4hYv88Ic/nLx8hl/J4dATqTsJsHG8S8pJKBrT5pi4GzOmcGuImJjlghA0nQhAKs7fjycBu5HX0Ok4WFsS2tBmL8KD9mBRG2CbbqY2rDwcfMPMtkkR5n/nO98BXdcKGWY5AoZ+84GJwSKmWyeZQSXINEomO3RsBBkycy1lDtZ52EFrc7ESsp5glW/0Jts25KhbrwOFfmthZ33cSpVNmQ9+8IMtDjpTdGZZgU899dTO/BEJh7WgZcSWGu4O02GNrSecreuOB1rZWAlpNR1MgWlzY9VJsDyGOcKsBTmH/oaPdtSA585BJHErMwoLlgLWQ1GA0ChRsO4yA+W3IrTyppne9vlY28VtvVmFKYeFiK+GgTySBqv2OP6ZgZejl1HKUQgUAoVAIVAIFAKFQCFQCOwQAk45289S7A1KFxnXHfUezRfViExEstuW+mWYC17wgrbGdhw2OBSQ7Xzx76j5DLDXHDakdkYf+9jH7NPtoy347a9ZAEeh2gUrbWjqdEv6mVrYhjNQg3VFBYA0UI3wro9CAVOAi80FrfA4FkyJOI2DdymnMXd7Pds0V4/e+ta3VhiGMR1KaM8loGXtCu0+pOCIM+pZ+lH4Ls3NPuKpCS0w4/ZWfpk4Ll69bEWTJc9XQ4d9um5jp4yjQK/7ZRg7XBwFsz/RHOlv/2g/qxPiMaCR/hzYeWbl7UDb3XEbYOgGqTvGCDA0HAGGX4YBLBJ/lFB2moHKmjLo509/+tMzCodb8Yht4nBz67+eeyOV1bGREvgilJea+kVhgG93D2E1HVWVs5HXmdHx9u+kC20VRLnLXe4y1Itvw5R7HyOwVA65jyHYeNWMKR3LtvEsDlSCmF8awXI3Z1grdMUg9zY7OgiGcLcQcYk23WGTwbOe9SyWrxlpaYn47373u0TKJmx8qPN0JgOq3KSIxjjCWJO6GSjy4m+AY9jLqqXLcebRkCe8Ac5sSg0cYW1CNa2SA2P0SHoJJ/loKa/4C9mmZkogkFQqr8jJacQz8YGOlBpDH1YJ4hJNE3gibRldwa6yKGckNQuqOzZ81BIL/QUa5RJv8wq32zks4wgh4tGKwUBvVpM+i2/WDQBXANIOgzhUMb/G9Jwj44pLs0LytksQkJflHe1+xlIQ69oCvSsXtcMvo0RZp9EKQ0Fuln8lZKJSNNnzWps2HVJxj2pKtEN/gSKAGcvXRASiV8RtvRm+c8x0EmcJzeUaiOxEI1odIpdBba3wmc98Rt/LE4j6BuNCAptHEcpgwfJrfQc/rZX1hFhuWqBE7hEeAd0aE4xXujcwWYOxHKdDgVXnQzxDqOAz8S3o/BGSJNxZQhS8DuCknrb2sQjpE1MG34LuFCFBvRAix02w4aOrAUn5HHSS+LgiZX1MW4ulb/scdC10P1pcmZ1wtBRTKtsMOhE+HIUU3WrV6lbtYs1KRcU1xdYo6uLrsIVAykvEWRPhddTIKP+Sb1FyV0jM+3D1vBy9TLAc+wwBujNxoGQn6mUcNjzuRMqVZiFQCBQChUAhcGgi0GntbBAEmxG7pw0muHZS9ndx8tiK129hOmJZ2Fsq29G488xWMS2lLExhjwez1bIpcPza1jX0hJYX2KYMOGyhOIts72+Tbr+2nLifzwiTLnHUBKUi7SVxu92d66jDwuBt0SC2VPTn4q0ttu0nJXF1RJXQVkxtp2H0KR+bdwZ4CWn0RltI+1MKUvMdkphEvrqiuBSx7dTsiHXIqSzm/Wmt2Zb6KtmDxRLYGOrVnXbgMAVqW5rDRpi6G45FW0BgGGz7PhuprP5M7c9nqxfZCNs+K/OSstnGut5WE+vbCA0MxnagXpJjhdk+Ajs6LPz/qc1uv6yVwv5GAPeHp7NKGLLtKo6IRJTTlUbeoWsTCuskommi3fThMCsQz5LT4lL94pVDYdhP9Lp02sBruPE1ykNCkDOcRMwrdPORquYGZB+HMTR4+S4LZ7swvzhZXCRxtLkfw0gHnNsvApuulBbh6D4QcmOLDLOX+aZLajuPxAAoTifOFDXTMTErG+o/2fZ81Tq2RCACw4QBNUBRLiCazhTMmgQklOhn2HaBN4WMdDQ6PInf/bIYTqIhnVOKkP7LHQZQJ8Iw3SjsY445JiNa1ZEPUStIn3BA1fJIFKJ4f/MtkQ9uPdn29B916N6qo2v5FlqtDRO2NFv5v7tT4M+ToodfpqZTaRQMePrsHERkAyQuiupHNoBwdzJOYRjUc8ohDjooho5HKnD00UdbXZGNUckhjQjC3VKPdoaLYsK0ou993gSQpSfZklijRwiXo5fglKMQKAQKgUKgECgECoFCoBDYOQTQ5X6rpi+K7eeqsfZIeGw1Y5I2pOjRqSLRBsNO0tG25Z8KM+Xv3jVk/dTbbfojtW1q/LaZzgajY1H8tpmgzTsqZpSNmUqZ1r/f1NtV/bEE9KX8VoqIsN4dLe+NVBZR0G7Dl9fUNjZ2x8ujVMj9jUBpuG++ffexhjtRKntbWEuE7wxw9Nbxd4Sopl6C7hndZBJO4lZzudQwdCjFeRJ5JtPRVyEBpmiMXjf8mZnWWCdlyu6md/0mvWP1svJQ2i1luRl3VUenDA4i4FMZRvjiKM0BCxNcjoBWc4kl4bOUST5gFXbGl2S0QWRI/h39o+aA6HfEbPuLkiw/ObNuSeBMESMWjp0CRaexrgNTH/CXyjY0Foq1M7twkHJT5fYXW02xQo1Ge7gikdkQyDsU4iilEwCEN11S+bhDEFHkj9xJBTKvv/iLv7CMpsig4+nw812C+Aq84uo/HbaZ4EqOheitlGYFPigQKA33g6KZqpCFQCFQCBQChUAgsHMagntHw/0QbGunjZnToY5Dl25KITqOWVOtY4z+EIRopspDDfeZwPWqECgEDhQCOzd/qVFpuB+oZj0o82VYQ3dkIWu+9AhK5rrmw8Rb5CMq029J4DXCrCEBnskFz87I+EyAnXtlrem3RvrLEdBqa6sYbBCZ0wT/25X8jwJFh8LBhdFXo55kMwu78Wj08CTmWSIe91nR4l+oyL9DELU8e9bIITi/fJx3INnX66VTyS5Ebyp6+RcChUAhUAgUAoVAIVAIFAKFwHoIsK5JBYrJF+fRGdscJuLEKqub/IcGNoeBy6cQKAQKgUMNgTUtNx1qMFV9IcBMGMIdBbmeqm9hWAgUAoVAIVAIFAKFQCFQCBQChUAhUAgUAnsfAYeq73e/+ymn6y4ZGmWD23nWKLYTt8zDug3SgXU3dm5fS2nvo1ElLAQKgUJgVQRKw31VxA658Hh2ZkZYbWZZ2xTL3PMhB0FVuBAoBAqBQqAQKAQKgUKgECgECoFCoBA4lBBgd9sZVsZO33vaT9XpvLuG1I/bIV32Zo877rhDCZKqayFQCBQCSxEown0pUodsOEacya5Vn71yl2runPmXQxbhqnghUAgUAoVAIVAIFAKFQCFQCBQChUAhsNcQYB6TWc53v/vdH/7wh7/85S+78+kMZzjDWc96VrSA+2A3eOHWXqv4Nsvz+7//++c47bfNdCp6IVAIHLwIFOF+8LbdLpXcTYl02+PKRyaVdynXQz4bygKXvvSl3e15yCOxewBc+MIXPvHEE11YuntZVk6FQCFQCBQChUAhUAgUAoVAIVAI7GEEXIVF1d1vD5dxzxXtPKf99lyxqkCFQCGwiwgU4b6LYB+cWZ3xjGdc6arJg7OWe67Uv37ab88Va18XiKbGZS972X1dxapcIVAIFAKFQCFQCBQChUAhUAgUAoVAIVAIFAKFwM4iUJem7iy+lXohUAgUAoVAIVAIFAKFQCFQCBQChUAhUAgUAoVAIVAIFAKFwCGCQBHuh0hDVzULgUKgECgECoFCoBAoBAqBQqAQKAQKgUKgECgECoFCoBAoBHYWgSLcdxbfSr0QKAQKgUKgECgECoFCoBAoBAqBQqAQKAQKgUKgECgECoFC4BBBoAj3Q6Shq5qFQCFQCBQChUAhUAgUAoVAIVAIFAKFQCFQCBQChUAhUAgUAjuLQBHuO4tvpV4IFAKFQCFQCBQChUAhUAgUAoVAIVAIFAKFQCFQCBQChUAhcIgg8KOHSD2rmptF4F/+5V/+7u/+7v/+3//74z/+4//n//yfn/7pn95s+pVaIVAIFAKFQCFQCBQChUAhUAgUAoVAIVAIFAKFQCFQCBQCBx0CpeF+0DXZAS7wO9/5zqOPPvqyl73sda5znVve8pZHHHHE5S53uaOOOup1r3vdf/zHf2yncP/0T/90/etf//GPf3wk0j1uJ+WKux0E/viP/1i7vPnNb95OIhX3gCBQH9EU7Ias+9///lNvDyn/xzzmMT7wf/u3fzukal2VLQQKgUKgECgECoFCoBAoBAqBQqAQKAR2DoHScN85bPdbyt/97nfvfe97f/zjH/+xH/uxww477Ld+67d+9md/9p//+Z8/+9nPvuc973nYwx72yle+8glPeAKF9/Vq/p//+Z9/9Vd/9Su/8isRvXtcL80lsf71X//1kY985G/+5m/e9KY3XRL+UAuDtNUu3/ve9w5Ixd/+9rd/8IMfvOMd77h2v5op9jOf+cy///u/f+ADHzgTZg++Wl7sXfuI9iBK80X6y7/8yx/5kR+ZDzP1dkf75DDT5c09jLvE52//9m994LrKksAVphAoBAqBQqAQKAQKgUMQAYull7/85V/60pf+/d///XznO99973vf5z//+daE173udW90oxsdgoAsrzLQHvzgB//cz/3cU5/61OWxdj/k//P//D+IDnuE73//+2c84xnPec5zXuQiF/mZn/mZ9Uqin2ypjHiGM5xhvcQr1hoIPO5xj/uzP/uz293udle4whXWiL4wCoVU5NKTnvSkX/zFX4wou5PvwuJVsN1HoAj33cf8oMyRARnD01e/+tWrXe1qxx13HKq9rYZpCdX+xje+0RDzohe96Bd+4Rfat3vcbTpUcuZxinDfgy31mc98Ruvc+MY33gnC/f3vf/+Xv/zlg45wX6nYpzvttwdb9uAt0o72ySEsKzX3MHr5FAKFQCFQCBQChUAhUAhsB4E///M/txFGyEqExgbbqhxUFqidXepSl9pOyjsd98Mf/jCdOcTxL/3SL+10XlPp//CHPwTUz//8z08FOOD+9E4wGM997nP/8R//sS0MLcOrX/3qxxxzTEd9tGGm3PQUqSROvQ3/d7/73Wc5y1nmw+TbvdCUWZjNOnanan/913+tH+J8Nlv4LrW/+Iu/cG44xop4tTv5dsWox72DQBHue6ct9m5JTELML2Dbb3WrW931rncdFpQN94c//OFEwS972cse+tCHPuMZzxiGKZ9CoBDYZQR8mDQ1djnTyq4QKAQKgUKgECgECoFCoBDYNwjY22LQrnjFK1JsP+tZz0rV7GCp2rOe9SxavUy2HkDCfY9jRfcuyHFX0zmscLGLXQwJjnn/9Kc//YY3vIHV3D/6oz9y3vTXf/3XV6rI5z//ebKZeT6dWtTyNPdxU+7jqi1v3wq5XxEown2/tuwm6/Xa174WbXeJS1xilG3PnO5xj3t84AMfIKIk2Tv/+c+f/uUoBAqBQqAQKAQKgUKgECgECoFCoBAoBA4uBGieffKTn1RmW11sOweNFn8xs/5e8IIX9Ld+MwgADZG9tm2WmZQ38uopT3kKVfTf+I3fYPHmbGc7W6b5+7//+7e5zW0e8IAHvO9979P0r3jFK5ZbgPnBD37gAIS+we5QJliOA4uAewfPcY5zrCo4WbXMN7zhDYlwYohYNW6F35cIFOG+L5t1k5WyyHjBC14gRbLf+XT/9//+32ZTJqvYQOgIdxZp/vAP/xARTyPAdPvbv/3bf/AHf8CU23yCU28Z9cbsf/Ob3zz96U9/rnOd68pXvjIL7KOBM19i6p/6qZ9icc+5sDzR9rnPfe4rX/kKM1vifvvb337b297G8cu//MvM04+m1noyXv+ud73rYx/7mGN6VPulzNhO2tIxyxKGk1qbqn/0R/uvjFV05e/eSocdQBA56CSK+f6Sl7yky2lb0fe3vvUtCz7LOwsXszipexhftkS43vWul7kTyL/1rW/9+te/Lh3IuN42jYipQpuIWgj5qU996jvf+c6ZznSmC13oQsBcuB6aR6DF6k//9E/f+973Ok7lgJVGJ7nR+npLG6ZzCwlenhrIX1Kcr33taxyXv/zlaR9wxI/ugFt8pexoJ0x+93d/F+BbLob0ik984hNS0CsY14t214iXucxl/ifh/0WNxSk/wQT2CThI+Du/8ztXucpVBMswUchf+7VfO895zsOTOfgPfehDf/M3f3OnO90pwvzXf/2Xvqon6Ks/8RM/cYELXICdR/1Qq33hC1+IdszUOOSlDzjs5jOhECEAoESMMEuK3abGHSXU+he+8IXbVwtbBObK88UvflF/tm7wXVzjGtdoNTXArmVZ+xndbLD7/5GPfCTxyQLMVzODcSwsZxulc//Jn/yJEmoU3wJTjNe61rX87cK0jzNjy/I++Y53vEOfNLD4in/vtN+ovfj4gpTQ1+dzAJTmzqFsSXMv/wbV0aekNRmmVDBN5kuJjWJb/XIXAoVAIVAIFAKFQCFQCLQI/MM//IN9gbVcy8YKYNnm14Ys9ygClp33u9/9Rl8dcE+bnZe85CV2lyeeeGLXvspm3/eYxzzGVtpBf6T8Va961YUFtkUV8rznPe/C8BVsFxBgonYXcrnXve61C7lUFgcRAj0VeBAVvYo6gwBuxQEoYz1GDMGEZb74xS8+E37mFVbaHHPRi14UHzQTLF6R6WEtUYptSDbRnva0p1mp/Oqv/iq+VWpvectbCJPJim9wgxu0Ibd0Y6ZYkEfDyeLc5z43Cgy5f8oppyD673Of+7TctKQyX6S8fLGc+KaTTjrJYUC8pwCMg5tiI1NYxVLAqy0Jd0fzBP7GN76B4yYp5ZCys2bKECkrHr4YF8yo/d3udrfIIv8+6lGPQnOTmWO3w1NJHv3oR2ssKxIn/mD10Y9+1M08eFLC9iR5MePyBSZa0EWvKOazn/3syFx5qayFAsbcmUESeOBgSHHuWOPnPe95XiGjI69MRCchRMHtkvQKzJr5m9/85qc//emMApEAZ2lHHVsiELEkzhgRxln6+iECWtuRE7CRp14qO5o4T1BEc0QApQoHcjwIdxCBEW6IVHw3T5a1HcWQJn84RPjRv0K2iYeboCUJd2IP3Uyz4tm1r34limI776YkxBuRLBpaXE2sAM9+9rNVSqm8CsIdYSoRNh/VXRRdVzMJc8IJJwBB9bWjFswSvuY1r3ERgor70JDaiFG106k0aHTILYudSaUjYCSlSMJ9YYtoKcXTc8Dr8/nJn/xJH4hOfvLJJ7v4xZ3JkYUdCASImkYJd1964pNF2rKaEXJhOTPZoUMKcvelkFiERMQ3BX92sZhiHIbfcmzZsk9SZwDOq171qhB0Efz4zH2MwNforaBC7kQR7o8i5yP/c1M0kYChTPEMoQao6HLKn+UMd9tLF36DUtCa+luo2IDCeGLP8NKXvlQ7KnBmUY5CoBAoBAqBQqAQKAQKgQ4B+00+CPdup9kFq8eDEQH7O9pXFNemtqX2EVe60pUsmym9rUq4U8g7GDGpMhcChcAGESjCfYNg7omkzBlIOsQNkiUKhN17/etfT8+SmfWO9FlS4tAFppW8JLA5CavehsTQ4bjp9j7sYQ/LIzwITawuYhRBufyqUuqct7/97fHmCE0sp2tMZITyQ1NitdQXt5tZj+ZLmfRBD3qQkiA6AXLb296WqBOP5i9lT69E76QFmWA63LSuAJTrjz/+eLb8wj/u3pQyBOhB88SmUVVGWZJVyCujm9fRcO6uST1o5noEhhsOPU8GKBWmFYOMK2/rJR3hsZZOEmSymFzUufKj+xF5KL+EmrItqs5pOGR6q1ROA/fJT34ygccd73jHVGmHjxtE73nPe7JUOCOhWYiAoj7iEY/Att/5zne++c1vHu2lXqeeeqrWIW4h7ZhaueIEdVopCEx09MQnPjFqFAw1lfO73/3uakphWTpnPvOZheQJB51KjXwCM5y7owORuLiIToIN0RMcPeoud7mLzgb/1FuRuCi+IDIV8HYKy1j45zznOZIVnghEatjeW9/61mQhOHfSoEicp4pI/JrXvKYw7U+vgBVeXh9IHWfQaVP9hDSFuGK+2G1qM+6FLfLKV76SHEv31vfimiDfFwGSjgo0LdKemZjJrnu1pJoRZWE5u/Tz0dbo6KOPdtTDQGHQ8FV6hRAn6nvsYx+bHT7DLxlb5vukpHQPMhKLcl9cgKYYrrXwoemTGjH7GOof6e9Mia+bmCe6E/GYAQTyMiKlm2/u5d+ggul1cr/0pS+t+fIcjIFddoradebEpByFQCFQCBQChUAhUAgcsgjYU1M7U32nkAMEui/hQM7aU1PN8YrmRC6uaNvQpbAIDIPp3lp52iTaAtit0HemBBNLxClUqUMxYGKbRq1HFhhbUWKnMxVl1F+mrir1yhLXX/udKDwVpdhSWdjbj3tl30FTZDQR+3QLztAjiQBKpWyZiACOsENJrS1f6ejYnOYmNNNUBvt3y+DQgOE/zN0pYftQB7gFgx5FsdQVy3RaB0UZQNEHcqDW9tAOmh5brLQpLdlvUmeh89RGGXXHZVdW3aNvwzNas7tPdSa8Vwrm70Y03LdsyrYktrGO0WtZ+GgmJXepL9MCa6/2bYFRSc6aOyKv1Sii2e0G26NXU66yyRpVytT5HTKGg7P72BU72Stc4QoapS3tSlVrI7ZuJdRztKNOrkPa5YHdHnb4ocVnFR9vpOBzY3hA+WOrSCuR/pP9u46kM9uwt/YYhKR8FjWyicNu6XKU0trCcON/FInuY1Af3dvuUYEph8nXF+QIMqDkq8lE70LKXWl16cTQx0gIZMyxl8whqItVj4XA/kQAjWg8OlA/muOoxtEf0tOXvGrBQl/YlLZqROGp99LupLNpjOiimx2xpWhuBivilWlMsRGpo488UcwC4IK7pDw6vOMVCilezeRrTYDsRjRnIsomLho0feYdJATCo8y6YGYd4zLdcI54he9TQeukmKJ4GijN6Oab9OEpawkmDpmsxjKlWbgYtcPTmkZIkKJiM1g4MLPxapgOWs0r65g2EckSGHSJeLQeQrXTWc6uQkdedIRdBl6IgGkA1HjnjJgONK40GeRJnykH1WAhIdkGoKvL8yEPeUjrGe7AXPlNYMO3nc+RRx6pOTpPMhKJ40k7f4/Yc6/Mo/HKSsLjscceCzFMaxseX+wVKr/1DLe+ChZvsxHZojGz6jnWRl14eelCd7jDHVr/0WK3AdLdfVPLW0QTW+ZaH2dS4SDpUXIitHi0IvGItO2CxSMVbG/RzfG4vJrLyzmaL08SR1nrPMMAloyoZ2Kwo446Kt8uH1tEGe2TVrdydGwlv9ZMXF/yyhmI8FE7pLyOZz+QYcJh6HAaSdlgla9Gm3vhNygRq2S5jw7+lmgMy1ilCWBnkjnuBcdNbnKTnVsfSHwv1LHKUAgUAoVAIVAI7BsEdm7WxkAdEJRiFW2NNPy9+tWvViSnk71yiDCLZ9HLhz8f52JtELq4NNjaLVVG5LALoNbThfdoxWjj04Zc4rbKHSbFh3WUiG7hFwFsZ6YStCsUxp4xA9i88KEPzgc5YEsbibR/7Um7XVjsCOxqM502d7tjykltCuFWBSKNjJIO6iwwt0/pokj/j//4jwWL1BZyFxbe0ul2mplXOIJdoYnV+c88hjJf7qZnQm75asumjBTAQqFNb+lg8WjXQNyyZUbDAGIdccQRwwQ1sRYMisA+pYtIw8lWcdj5pUPh0j4owy+sWoYfOpA/1A2HJdQ97Oi78JTYhIyPN17ZuPHR+r6C293udl06EqFkFiGpS9qtdwGQPEM2I3omcj9zH+YbryiiSaFLMx7RC0koRWAZeRWElbams5VtPSxDZl2OhQjs3Pwl5RVuRt7RclTiG0EAg0MvdSop0rNQ5p0KMOqPGedPjjf6dt4zFO2pVw+lfxK0qjAiU2GeTyTe4v5oFhOrGhmH4el3E0U67RWvIl/K2sN8ifENT8T1pKDDdLb0IUg094ya6CGTpPxLsEyXPNIh+SQ/ACBGkpaEwVGVzU+0mFs5pHahFp2GSrIMakS8aVrqJOqqgDHMYOEImyGY3GE6jI8LY9xvo6AFqQC3PuEmsjazWt8wOjF8y2c5AuYJuYwqZSDECbrlMprFvCcYrTslO2oiDeaxPstWmE9t+FZz8Bw1qhPnD7qeAyhWSlqldS1uBtUQRE3D9B0g6Dyx2JRQKDUPRfFE9FaNpDs+7S7WGo/LW0QVfDs0I7pcLKxte6gqdP5LHpdXc3k5R/P1reG4KTiM9nCfv6sRhMm4K40tGatzvPCFL3Rcw5gzVCGx5qbRY+w13Ill6YZPt6ob6oMYQ8gClc1+pku/fVz+DYoVVrN8LMaTNhFuOllOn0C786/HQqAQKAQKgUKgECgEDnEELJxI6P3CXig04tHf4W6rw8rxa5wjqtopWFsSirFMNWLbMdEUnpB3XXhsu4PXgtGopd9jzexcKWreSU2bKXohq9oAZPwkShtXlylJPFJ367Je79GpYptcCtQ08zCYSmt3Zs8iNUpIy0trV0UpxL7DJtpGXrL2+3e9613py6NBnQfFWbcltA20k7LTp3fvDKtVrqydCLfXdvrcyn9+Cd0mFW4KMQ4xp+r9MIDVO2aZvx3E8O2ojyhkFTpJrL1t4mwMtaa/KqVBR2NNeS5pSihZ6tNKtIm42c1upi2ccbfj0Dq2xrgLCnCrImP7iXWhqkgTSKd905veFMZF7Xk1sR1Eu5nKwvPUFqRNiE4tq9baVH/G1eiKiqSN4uyFKEuqlikPHbTaKaUR2JC1qLsS+tZ8dx71E9Iv/WQYa+jjq1RT6vYKqfspsK5INCUREgJH6tVXpZjiVC/qj3AggwGLfosZp382THNLHxtDJ4+RPL4abJhk9WT5+qywZOgFOY4molTaWhScEjpFqdawYDGacnnuEALjB4h2KLNKdqcRMN/MZ2EQQUfOh+nexqxgDuv8t3w09DsjYwILwncYHmuMaHZyRxZTpkUyFj1NqujYqNHjOY6SESfSXTW4G4Yi31G70hKkfUyMOSQ3M68ZR8xV+OLRMFYzaEq65Ci2CECk7JSTE1VGf7yeU0gGdALSNrrpYRRedQlKWo3a8CTG7WO448STOXXqldzbVxYNcXiq9Qy3pZhrcmGYJubbMMsRMK2ixWn+amIUZ5sIoPxan+VuWhKaz6rRUmw0lnmLTNtEdfjhh48GmPckDrFOGj2EGFR71xxY6Vvc4hZtmlpcGJaFhtyrYHGFaRxgjFgg1QFG0RbAWsRqUqcantBsM13iXt4iPlsAWruwhdJ+mxp0y0FmqiTLq7m8nKN5Eac5l2d3NBQYRHg9vN3qLB9bRhtUmj4uDerYL2nEaJE0opWZ0yfCABak17/+9UdDEndROZ8fnZZ/g8YQo+LMRdCGMpdBhSRgtDzlWQgUAoVAIVAIFAKFwCGIgGVkKPc4l4wotHiLxy2hcD7Vz36zVceha4Uac08PJhQLb5vQLrBRb/g+q0Svkj6zubOzs4bEKlIlYRiEyteWuUcAO9BwIFutiq997WtjIRfG3TKYdS9K3a48rh2K8Epr601zyyubBdpI1p9bJoXJRRrSWE/dPmtgWx4bVXStJb3ruxQ+04GPfaWdAmOeaVtD1lbgwEHmgn2oYpLRh44p0+0REn1MsR2lS6dt+dYV224nqDVtMYhewnRPZq202ABcQdsB8u3QsaQpnb7FNug5GOG0RoIega3+4629pN6rF/EZZjH0cQoW+4zSjbuvcgekG6NccDhOq9tlDCMG10/tyS4yeQltqmNc4xrX0EA02zS6Di/ukqoNs0gf6cCZVIY4IT01qM6DE9c5oWHT16o5ZrDWYY+mLhjw3H9xoNoJBnytxF0sHRF9tdfySROfI1/VIVQgJGsT3NLtk5SsYKpAmy3D6xuU7dAm9oO2e3FMOd+Gg4hIW7OZo+ILW7NLoR53GYEi3HcZ8J3NDp87nwE1Z3PkFNM6GjfsHVPcHn0740mcaxAMzeupYGYvMkP3g285XnzhC1+QCLLS1DuaGiqQMjiGWlHn8zWG+o0msqVnFAMbO1UMKwC0WpsOiy7m1BCxqm+abs8wLbdL21QbqQVuF+Vt7ZXB0iGLdHcOIHQ+HmOO7CbFGdUMireWmFMVXI4AEtnUbkI1PxECmxhU3yJg4fJiWJHwsYTlmOlXtC38wuriVCIz/u3XQWhkjaU5/NgpsuYbRqT23kYRQBR/Z8z2edUS7iCNq3eHifMJiVfXqUZDbum5vEWoLVCjNqOTt1uokfGo5hR/vWW+EWB5NZeXczTrwMoyd/Qtz+5W5OjSS8aWqUW5hbUVubX+1FfjAlX5BuGuA1t05r6iK6S+NPNtRuDl36AtoiFlRiVHdr73SLArST0WAoVAIVAIFAKFQCFQCKyKgC0DLeOWbY8U7IBoZ9NjtcuzYkytavQZxRr7QTq5ybZnpk42UwZCrqFNkeYrscmZyGYdtkW41JZtz/QRhbR0mfZGi9OOSv8ph7Uxdn64KraMx7PTjAZOEu6uO6ITJiksdrLtmbJzom4topicCtT5aiUHhWWbL4QJWQWG2rrd0QTgJ+m8ZWpByNjRO8+qQXUGa3tLbrwttRuqY0h8CjH+bnNvFSXB+brNTvGYGUm2PQup19mP63Js7OhINnf5asbhQAbla5yy0wbDYPaGYIm2aN9SicNx85FRsu0ZAKekgchptDhuRMfOV2s40D6x2WfTZhidQEsulPR9blv2Qy3ipPKQHcKnI9ztkhALRAVdLrar1FiJJTRl92rLR/travU2aC3bnrHsE9n8RDswkcSMTPpzOAqjqB373wYo9x5EoAj3Pdgo6xdpyQSzKuEeHBNGaWjGZFhQTLcBGu1LHOqUjQBxy+UwZPgEd7yEzQ+7B2amqaTCX6aR2ny+84nMvI1iGOZmwnT0q9kF4xzHggzKRudhXPQrPXezghWMt6ZGuv8UGRwOMAd04adutomIXeCpx5CjjL6Vu3XPVKOshABdAysMU691ZFDMTgColHnaq5mKjBYsPJe0r34VvPxMOjOvSICcjlTmIFKFlKBlsWK7+6iLOBRyOIohzAzC7bLSJ0N9AEc/an8m84qvKR/XdixsEaol1rgazjrDX7+4MYnUxLmBYZW3LM+q1VxYztF8wwTTcMeSgW1p2r63fGyZItwjR8cY/TKXoUMjwsEoPSMzG8Ya+iz/BreEQuLD9eUwx/IpBAqBQqAQKAQKgUKgEFiCgL0eFebRkNQ77IywzC3hHhZfKXRPqeLSrab7gn1j2wSTOJryLnuikm0YRzPFGCDcp3RQuijMwU/VWjo2I61RTbQyBTIc5dTpedt/9OtCQyJdSfKR2jXiOB4drMdWb8nYZtxwBOFOdYmZIEC1MhKnonHubKA7Ao6V9uvirvGIgRXL0V7UwVR00hEa0w5hU7cPE6lTIfnba8dR4FG2PSKqmn6LNW7T0V6U1cgnnNZt/dOtrYkfKL8zusDmcPqv4cisp6gtnDVF8tg0zacPt04ZK8LbDhNj6HIYgLYRM7WQmZGjpM9CR/QQ+ohT4WPLyQZpFwC/Qelwpl268PW4FxAown0vtMLGyoCl7U4tdUmzwrEqWRaqxNhS42OX2vARb0jaSRyKcI+BadS8V0ZEP3GH+md6jjpiUmfWitBvNEB4OrwWUocdMpKgGH5xCGiqGJ0AHJ2aE78jSwQSXQBSeue8NI0llBsyjd2E9oHeqgeUpoo09A/kh/7hA70pkfuqCKgOpQAgMFpHeGCmd7MHUbAp2fnBVrt/qjCdf1ClW/arJZ2qSzkeUcxOyVFtcI0JEpyGBRXguAyAmsOQcO9aUyIRONcBw1ysDNIzBDBQolSenkPHDH08DDzvs7BF5GhxRkRkTUB1wqU0JBA6ML0VDbdEK6FtozWqubCcw8pGD5np4VZObdl0aYksGVuGeYVP1M5JySm7QBGMCryQOsxM2aayaP2Xf4NbQiHZbRamLVi5C4FCoBAoBAqBQqAQOMQRYFml1a3p0KAti3BPHtB+weZImHnr6jaJCHcbqL1AuFtezpyeVEHVyQp21e8ep5hZwSKd0B2JWKxpc0xZdo0w3ua+O3xW/XulK11J4W3WKGBRvbJPZ+Td3nCK5R+mH3Qqpn5U+ZrAABuAiKemo9HR08MUlvtYxoepyTCgPxXxbGc7m/vJCGzouW9JuKN9UAH2vzPbPVt4bUd/vM3RVtFjnkhoX6VbB0a4r6EVnimEg8IQAyw0vvEMD3/4w2Mv1oYByDwmGZiRnHS3DmwM/Tnih6G2fgQL87ZYjjbWEjdFTN1jimyRgr7n7+gejTBvSD4sybTCHCgEinA/UMjvSL70T9GFM0njEINdmgnTvbJoMKIZygkJt1TMJK0VPQ6/ROAYL7o08zHeTkm2MxhHqGHi0ztr4G2YcG+ZLwVko7MxesoI+DDN9FEMVKwZd2YhlYHDQSufkB+dimg2D7njojU0hsfEtmN1zT1DWUhLC3bJbvMxVOlHEzFtUMVFDo6+XQMB6ZhRyBL8TBK0Bh772MfqqA5OkvCP5jLjme07JRZGpzpyuKRTDXMhrWECSGlZBhwuMhY2Rx4KmZq/W6UP36O+pFNt2bGHpd2Oz8IWUTyd08/RP7M+cZo1olXCK1/5yuHKpitPe7fq2tVcWM42a5+2x5kbbLzSSTLK8rElo3SOSMHSc0kjKt7MqGiBS1HCqdhIs8soHpd/g1tCIcGZoWA09/IsBAqBQqAQKAQKgUKgEJhCYN52uZWtiKkZhnznpjNH+X0qQf6xK0m9OjS9zexoeOlsuUQfjbjc015sRrGpq+B8sjNYdenYK8UGaor9jIzQxM6at7pN8wUYvm0vq7Qmp2bEuAd+3FbdTnYYfuhjh6u0M1plqBJcPM105r+3SbjrP3bu8hruW7uCyQjhTomq8x8+hqnJeZzFohXeEe5xvpwJ2WGa6UOtUMsycYPIXk6nZPR0IJ3dmusmKspwbMuw7oLmWk9BbeoEc+YV+6l83L6jM4eQCdprOx3iDISLW9OzdZB1TdELbbBy7ykExo8C7akiVmGWI8Cy28xhIiTO0ID4lokT7jHHhmp0S8l8YHM/Gk6YUPNklt2oRxadS4ouurmQSN9pnSWDI8pPdPR0l0g+MlvmgkeEaeY7KhUUnvEy9t3WMzkyXww1ZT2mPR1mDmBBzAyHZHdROKbMbO0GjCx2iILR8UO2XZg1zihlyvOOUKYYDeMEnOaemmWXIxDqAC5d6XIBQkDBKl/3asljiHMYuJ8KTI+eYsJ6s5G4cTfv6KplYXNECbslSJaWMIPtoHzkACkFijCV0/qH21FKdyU5RDl8tarPwhaxFKPHEVokbRaGAvISehmuFrAa8CrOYTCi1wZLtzMN6eZYXs2F5WwTb93RdWd6+BB/0ZeMLW0urZt0ytpxJgUHMzVifPjODPkorI/bFNINdqPTfHMv/wYtZG3h2BJ1wDOzaB1EUwt7dRur3IVAIVAIFAKFQCFQCBQCowhMsWmjgcN6ib/slsz8HvKQh4ieJiYs7RysHP21+i6jOW7fc6UKzme3PCmq7qEuE6pXU8niYTdIj6JiUboUpbEKbtFcqHpFpW+GbY+SM9HJYbcyxVdMVbDzjy7hMrAttZ6FETe7UJdO+xiGTOdxFr6z34uECV3ve9zjHjM92aughqYkRm1J5t3ahZ4cCsU+mpI7GzJQdXscPmpGt2mYZoh2hv7pExvefNyUQ3/GR734xS+mgEhgoPwsR7Fxj3Ob6sNYFGaONlWASmd3ECjCfXdw3qVcqJG6jGL0zj1Dv1fIlzWKYgggjcSChT2vqRSkT3XUSa68AdU5KYPpG97whtEoLH+h6ljFGn3beRKiGvfx16PsHu17UmJUaVjzkK+FiwJ3iXg0xON5yR5mJBPDWOljKOSeosMIJF0Rk1Osy1KQ78QJ/moa09KjH/1oEu/73Oc+MZNJKiTwUezMJRyktTt3maGZqaMdM3ca99xTxjGWIxAG4EZ5T/MW/YvRpsxiTDlIaDCqGlEVRsPEQcKF/apLIRYKo82hpeaPj2RSvjJ0v4qPShRYZenYT5DqFSGsykTSobM5Q7rel5uJhGNhixCe+9Jd59JFj8dQRYmDos7Zacq4JLYLrI6d+Z3l1VxYzi7HfHRqUg/RvUfvHLZWZhUnA3OsNLa0EdMNMbrtvtZWlpZvOfRJryjdcMeR4anjriGnmb8wY/k3KDsHY31orohoy5PuMPuYj+UoBAqBQqAQKAQKgUKgENg1BGInaANCfXvmR9PFkjvJWVsV6hejP4vSXSv8bmaUh1O31N/fOD3K7CRWl1L2UBtpbQTYyCVs0O5D1bSV0oz+s0RuEdvbCD+fRUC9ZUfqcM6UZ7pxvCIbEDeMAM+XZMu3zNe88Y1vxLQw84BysSf1iG/hz8r86BZ1yzR3JwB+zL3KxA/HH38840KoIRtSBpyR7wzcu9tgtBjFto/Cssc9T7fHy1fFWxUBrC6zD849pViS1A4Jzvz0ejq/CmAQZwMEZf/ABz6QFG4o3TX9M3CGGUR1uX49y+xiEII4Fs/Dlln6c9AGfeYzn8k6m5tJWv8pt8k1LmIlwOwKgEMnzOQpu4ge+TrPlSfvMlkGMfDgJKJ5FC5mi9ZCXAYeOuLaaNNtx9kJab4EgmQZ3/BI35/9a3PPIx7xiJQAU3U3+gtpMI3JLIQTw7sWhcHLB80qqWFJtunDQDYkh3M8KQXzQYyyTWm4L0fAzEfM4DzB0Iofca4uwVrRlrUYbR3rHs3txN8w5ec///nK76hHqJnPpy9xC52W/o7mQHq2nhLxqPPHJLekOTS9wErY0tY+E98CGjqUGrJsplsfDiM21FXSMxxYY9e3EqG5FyFfDYudr+YdC1vE8h2rrk8OP1uAA8eAcO5zn1telmJwpkQQtqTa3Ann8xML/+XVXFjONrvO7bALGYZhISQo7VsCD1LA9tzuSmOLpEb7pNFJOpRfQlOpzdFA55iCRo97dN18ZSh++9vf7hqDNhg3GH2AvotWHDhs7uXfoDQNsOSLam3c67IjENK7NHfnX4+7jIBRwoLbgL/L+e5mduSj6njMMcfsZqaVVyHQIWBe0w8dNOz8D67HW97ylmrxrW99a68Ve88WbK8BVeUpBFoEgga18KNes+Uv19vMcFOQGv2Nnpluc1zuXrLlWZ7aNkOmQtvUmeBMf7mOP6IAsxE20DP60GHjE4ZfhsTCMPByH+tzgRdSEFPJRiLDHfEwfITBzAxfdT6xYUntwO5tPnY4p74aPLfsyQLglzOp7Tgg4KgH2prBHCw24gXxZRPKEr25cub88XYy3WZcfIUzKw4Zo1xorDKsTzXKZs3hAFQ75cJtpl/R9xQCRbjvqebYTGHMCkcffbQ9PPNPaB1zM0HfjIm0JbkiZRCCjrcYzhx1QSFJlskIhCBVTVySKV8W3REYYzoOGvNlFY54teU2R5JtYr0xYsZlqSntkgIIw7IN1U5axjhrQzliyzhFqVziGHBjK13OSCryxWizgPGsZz0L22UyM0fiTA1w5z3veaWQmeKz8P64TtbVMVCdHYwMlg53atP3Z5ndQCmw2Ui9CBucA6Boj2lFngosAI1XgspOWZVlCcbHlZ9cRDDFVlq0F/obvwkfpT3llFOIBJieCGlEWDzPAmzEQfBLDGAeIomhNCFfuT/ucY9zMgvLTx4wk8tCBKSDhSRbVhfcIpRMzHLRSQiETIQmlZlc4lUw4CeddJJ29wvhOQt64oKXbMPMygi1lFnCccknKQtRAYsoW6YsQCROKq4XxRKWDvJhhx0mZcaXqKhLVh+TBUN7UPIdiaXhnve8582njyJn8o+sC4mGaFZa94nrn/qJ1oyPMY/++QQcV/TIFJ3PhF62fHVX8y4LRYh7S4cMPFrs+cLk24UtIi9IkmNpPsiTjiiPUtHBhwO0CdXys40LCXxZ+jDVj/jQ9B+Pcfo1c19ezYXlzJSHDqS2YcHn6QO0/HJ8Esnufh58n5EKEd/d37B8bJHXaJ80qhx77LFIbeOADuOsj0wt9QwIhiAU+V3ucpcoJ3iZVGKFRrMqCQM+xhC9SzDAWjV2uA17qXQWfoNCkrzKyOkfYkiHivRn2X3mM5/xsbuTGUotuR8lrL+7jIC5zFdmZtxIvjoeVtFZq42ktqlEDN3qOJThbSr9fZyOgUuD7r+7FqzQ1MuvE2/vaFP6OvRDprR2NJedTtzyQC0OFBHmK9Zqo0vlA1uwjcO+Xz+9jQNVCW4TgbAdMXPz0DbT3050Y+Z2om82Li2fsLU9v5YwXW7JFGfBbB5xERSK02fKEcpzltNTAdIf92KBPdSqyQDhQI9EOVOQ0AVY+Bi0g31E2GmZiYVh8HbJJWeIDiHncRbAmN9mZ6Pnx+cAyoOZzbHvtmHHX7tyz+KTLlToOLZFPbBu7Y4KUwYUhM0+Y63DPrBlax7YKlTuKyHwoyuFrsAHFwJLZJjLa4RRet3rXoeV9hc31EbEXmFzsNvD8cK9GThuJCOVolaryOXmWNGwJtYmNeNGVCGJ8P4SbBXlEPeYShxuGzfzJRvwi1dSuPrVr45MjPkgw2PK8N2GPD7Xve515yWuUAWC6dmRJcxaJmLCU7ywxOJyFRMt7YO2nBGSGix2FVOMkKUdbDI4+eSTQcHUu1+EwbEiCklN8OCmbeIEtphpbWde23coBlgU2NXe/maClItxxHk8Iv1bxxIEIjySUck1GcqvTYGGLyJy1PZRG4wbnlTCyXWE9wjYaDu0JlqWTLhlJy3FSIOw2137dmnmI0LZSks7+iHBCZm9goa5GUvb9ihzIU8Cf/ZA8P6IS0xlpjPqYIVNshSWXZZr5aFIupZ2t1hkLEgUrZwR9QSdyvrgtK/kGemvK+KyO4Pyo8XOKPOOhS1CSqR/gkLn9Ms0rcBgDo308SET0pCrWTSkJ5mHj3Q4/iyv5sJyZo5DB1mF4cWCpj1zQ3BIQEiF3JUPbZSVxpapPkk85sPp+qRDHle5ylX03tBAiUwF09zKcFrXe2OWRMH057A8k56jzb38G5SOS4SM2IYd47BfpGzBje4neOOfeZVjHyCAuDdo6EVLrvDdB/Xd91Xw8bpchAifZsB+qqxjajqqGjm/1c6G+6mO+7IulkCmUYoU80vlfVD3/frp7YOm2WdVcGaU7pczx1QiZi5vJOWi7mPvY9O6EQRkGumkmZphsvQzhp4H0Mc+AkoUCu0+poph4zz1augf0o4l9r7pHom+5No5ukdK6IjtlFWQKAa5KeRtD9tDt8MSbuljvWevjTGg5RNq+FNRaPt5tcTgAZyF1OV0yymCntB3aDoV9aEYNtczDA9LMrF5x70s3LCP1gjTQiSAHhm9yZaABFdjy6Zx6fztKZ1xKn34dMQaxfzRqvHcf2oWUzU9FPyLcD8UWnljdURtu94TEUwFmIqQwZ2esrkfv5bT9jAzvCrKlfYrQagoSHk6lcMlBX8DdEbvHsMfo0o1HtcpJBKTxNIWFGc9Ol63+Zr8sKVCjk4bBmscoinc8LdkKsV24UaJr22DKSfaK9JgxeVhsaOcDIjP2BBHt+Fzs6bmAAQucBAlCuCteS5EFwrTKlMrZwtRpsCBW5l6hTwdfQU0JDKRgAmV/i988H1DfCAzjL4lAlk2kgMssyxMeBYWzjnqLcuJA0riBANWOX7gTeM80lcwTKL1CiV6EmyvnAmIQ3CZ+7xDq2E8KZVQWEiVZ8gTQuiuDj3wV2CrhyywxYFfJKt1hsi0OeJYkbB+rSd3WPLpepp5l+48FWk1YnRbXD0qtJu76KPF7sLE4+hHtLBFkCBEa750ChGBjw+KJaJhRkhbPZONcosD7aU/p4RgiM/yai4s57A86WOlq2wK5tM2dLTlp4CfwcKxfGyZ6ZMWds4x6O00TaxEfSa+qdF7b/Qry027JhD5+gykkBldDk419/JvUAUJIB1QsDDVmj5D4iWDoSp7xfCRX4dGPRYChUAhUAgUAishcMMb3tAiNpavK0WswIXAoYyAHTQdnQ9+8INW3bbYU1A4I4vGtTaeCrCqP40QXyszI7Y8w92f1OyyVyKvVy3AGuEpL1PDorxMzy+OC3eJ4BniBHnnP/UYzDJC1v5rdM8VEZ3EcuSF2+J5Kqn0jzDUrSgyW+2nf+cItXpHcmcolC7K6COdIbsPi/wXvehFM4S73WVcq9ZqTY0myBNdrhZYDkpXIRofhnQLFHal81cdhLuebP/VvcpHtkn9bHJH2ZsMtqXD2WsfheqPEu6iYwZ0bHzRsJxbJr6jAfRS6Y9+dJEvWsOAsKNlqMR3E4Ei3HcT7X2Sl6ENoZac2sJa4eX9FgaeD4bwYvdjPky+XZgv7inOT2XELR0IryWT1pbpRACsrt/CwBsMhg283OUut16CCxEgkMD3+a2Xi1i46Y6ejqR0xe3jFmfxurIt7DZdrHxEygMnrYikfzisRRCsows7nqP+XQoeR4s9DDbqs7BFln/p1kzLP0lFWljNheUcrWN4+q6n1mGjsZaPLVN90gYGye43mn7nST608Oubau6F32Dku8a43RW4HguBQqAQKAQKgVEE7nWve436l2chUAjMI+DICH4Ng4lQHt2NfvGLX3zrW99qWX79619/PqnhW+tSnqNq7FQ98MLsatJYGkakk7TX7pyk2I4ip0nj9CoumGZ3W2y0eFyHQ01qoYKw1TVpB3vidK0cPIVwm2C6nZel+EUDplveo7np9AhGUpK8OeUkPxpLLu5yCDgTaR1gdwZadq2R2zbAqHuqKR37xnFTYCcgcax2GJcOUKiLMQI8w/O2EZnAVSn6SQ4zOaLdvuLWXZ0BokLXnYHAs9OTo0uku7Ka28XyiEpmPZXDkfT27VTV2jCd28aTjIEJZcqgo4Je+kx+Ym2KgOoKsPZjcBq0oBz1S2XNNjWnpYOUbz3LffAi8N9DcP0KgUKgECgENogAPWJnri22hmk6jk392W0EoV88DFA+hUAhUAgUAoVAIVAIFAKFQCFwKCDgmDL1C0ZI3CA15Lj5MJPo+AiOcqFSTgtacJEUnFvPcAc565i1o5ndW4wwk4MUyTv/A/uIoWbBkuayHZYjNYyKsDJPE9/JYOr/Lppig5Tl2FH6darkuHvaNq7ycuxbE3TBUNXMZpKF2LUxABu8cIZxoYWT6H6dPIP0EZHK8CxzcN0rcbHVTrgqNsUs1HymtqVjqikJafQQ0d2hZZvZpYO6lR1zpnR0IlgXYPQRnc2mpVdkBiruxilQIIidBkAHS4cpm2H3kAX6WyxgEuR0KTtOwTwAGwlqzUZr+3aqam2Yzk2dnzkmghBpDnXY1TouJFORhTKGLv2de3SZH5UyqvcEObpBm5EeqIeTc8T5+IVyozaFcu9BBErDfQ82ShWpECgEDm4EGD6iF2DNYenDNHxoTFgrW5kxom1hJ8DBXcMqfSFQCOwkAgxPuYXb1iXsWbFd5hi187O2K04o00pjUMvbLILdpgPRHuMvPa9UO3I0OGxt2bQzD2WPlMd42TGzB2NQqzut5YA505zC27GI645fdMCo2l0WgEPZXNZq36609M6Et5lnJK0Nk257jLhuy8GLKemj3Z0Sejt6ok4daaUhBey3bQKd1mKtDiwG2Mylc7ijzBHpD33oQ/Y59sA27U7A2IzZ+XQhlzyqwic+8QknluweKW3JV2M5y2UTGGN+JrJGZbU1O6dSkLK/WiQaVC5D21PL20sH0Kx2ttGamoxCHN1JDc2MLEW/7pp3rfm+970vNPjippMZy93aC49gW67rah2G0fQc1slsiYdQaIvwxJvEFRfZ2zPweu2ltPb58bHofjb2jJ5ln8/EV3LYA7MnoLmpy+mQlCIBRdWxbWitwICA72XGdq1MFQ9B0FV2CXRTBV6jd3VJwcpHQVHAMKJ2PiWt7JNvQYsRScS4RFEVcoTJTxijp8k09+gHtbyXxmiWXR04dBiNVPqVwUqnYrVg+BVkpZRQp6U8qDlUhwVLn+QSs8WRwg59elm8chQCowhQQLZrMOTSdqcarNMaTPRhc5z7q4yoSDq06WjceU/a66bml7zkJb5B4zzzsHnBGH1khk18XLe+9a2ZkzYhhjVwI7lMzQj2Mtjk+fR3+S1tZddEPeABD6DnHjeEGYcNg4pBxxxZyb4KnSeP7fg8U0hzBAbZZUv4cRV32ZvD02ZJ86NRztLLksZwJGX4zKTTvhIST410fulLX8qKrIMLlm0ON7NianFlvBXY/XNgb2Nt6Z5pSvysYVnFVUTu7FtakFg/qAILPF55POmkk7ozAfM53vWudzUduF2MurqfwAm1ktDfNyeGZ5sOdXuKZfqVO9UsAGiY4bvNoUrizAQwzctkGHkgIOLOVK1NvHUTaTzqUY9yg6CloJ6sA5uUzRFmCnnZccvUdOzCqjbWXnBrBQcIXJbm4yIiUni92vLM56+/aSyiAoc5XvziF3vLPuoRRxxhWNgLJa8yrIdAEe7r4VaxCoFCoBCYRACDQ6mBoX8qAKZV+z06EcF2oXhw7ltSV5NJ14tCoBA4BBCwSbMQt8JmYd+5aZso++223kYYe+a8IgKP3NqwQgHb80R4Smpxp4jtInbYCdw4BWyjEipvtvFJuNsL2XnaqLR5cTttjT2nRmQE617Fo42BvZwNQ/vWAW1bBbFaz3CrTpTQXnTUYphgqElhsLFUz7oUGAB1HRbevPM33tIsG72HCgGH0QiWP2NBwy7U1r0jmjPAlMO+yF4aRzkM4LoIN04TbOSrNSpriyiLTCHveabe6OR4+q/aXlrcfeD4Sjs9m3B9wI40U2P61n5VXoQ6KHhKbcELZABdEROER+i2ygLYSOs56KEMHI4nP/nJehfkg1VPKDJYip+ZSmhtxa7RXkQUKACqYUG+ZBa6yt3vfvf5++sy8NBBYdDnFkRzvnUoHkHgKo5UOHWc3+SOSkBUdVqQGYsDZUbG4GPMXroQujaR1p2QrvEpISb0AfR0m2C4fUpqlyNDjEgZDCZ+8cgRwwJtR3IsdhK6Fc6qvTRGM1+QpkQU+tAQEJk1h05FO1Jv6Zh9UOi91HVJ4Nrwxk+DnpFwXhYSUXbo02vLU+5CYIgAej3mepMp5tcvw+AQb37zm+NnhwNvhplxuEnLrVTEkH6CGbKScJegiduQjgU2s/hFOoZrXLDBmchqJuUD9cqu6tRTTyWKMD6YhWk3E2FiyZ0AiLEoBNWtyHC+qHZtxo2nP/3pZHuU2dvAWF0MPllIN6y1YUbdRniLASMSYW0IADKYomqCmXtfM2TnmGlKIS0CzeCGR7baw1x7RNeIGH+TIPa8S3DLR4tMk75B3urRfCG8UZQM2yoC+T6KM39rKgoQ1LctIdpVBDAtRx0pGK4k56s2VU7yXZIkE7T5l8MvQ2p9Jx70YV9Weu4dh+9LCQkzrMr8smBWpKoDYT4Kr1tSowmcM0w5DjoEfuSgK/HeL7Cv3Re+98tZJTw0EbBpxDhYBAzvrT00Adm5Wtv82wBTwYC57bflBcuDV7ziFek47FymlXIhsA8QsMRv182brdFNbnITG9rNprmd1F72spcFP4tdynRs0oJwt1MCBRUhdCTVTo/0kW0Iqb0ITKoXVjJpZcYFXPSnDDvIsqTzMFNUqwRmKjQId2t3mz1Mq+U+7VSEe5D1zq5a31NNMljZ3tuCosJRXR/5yEdQsfZadHBY7fQ3yxkOPKNdga2U7a7yCCAL5Xzta19rF0RLTnauesNF2s1GFFqrsducYQlVCkk6JNxPOeUUfLF0DKdMi9J1xRo45gzASJ9ykM1bW0jjsA2zMRkUaEGbUkhK34F0UYzPyDib6jbKjBsVjrYGoD2nU+3044zqGGqkBs07+381VRgqcpHIGpXVRUOv3EYX8jKK3T5agT5XJLtGe9mEB+FO/Q2PaVMHYcwmhlrf0OsoMpun2GD1mWh6gXUD+1WcKVr2Oc95jlr7PDshitbXB8CYHYBbsfVStAhkguJXbCe9cOIccsThcujYMSfKNzaZPNdoL8Ieypj065XWQXgSFOQCAYCkfEEaRd+mpYiM0EV9OHJZ8hOXLp6QEFNUnQ2nrAP4IujQ+UBgEsIV6pDC4HyhRzt1NHG9VCI0TEmMggxaDl0m6INqee01elckhaXyVfreld9H4Yo80PlyHSsxmJBy+aLVTrsIj9iKMQcbruL6fCp7gh0hKExXsMhljV5KydSIpFRSJj9zt54u58s1rFHRJQ50UZ7EdV2HCCMXf/Uo+pgGHDq86qV4OoDVlwIbMXRsWpa6nC8oo4w6dujTG81rn3kuVCheo9bmPsP1GhEPxijGWAM1qbmjHsYKdsN9gzFcbKc6RkjLA2dQfK3DDaDs2N32vRBimcF9y7LeTnYHMK6hwIxjujdQtOerlhTJMG7KgAa4IOBcF/C3ydjSDICtv8A3KBlpU0y7pEjDMPNNKbzVl1HarG0MVwVrvJm7W4fpL/ex4DGlWqDSyRjGUl9zpcJYS5jl9TpS6vkReMuqDXMJHyO8od50YwrWw301cN7+VzOV3ab8Tbg+dgp5ig2ZKPbODaSbKva+TKdgP8ia1ercWF+/QqAQKAQKgUKgEFgDAWTfzk38El+jSDsXBQdkR4c8arOwh+EZtBEF2PYVN/1NPJQAWHXu9i1dqmFqEQBR6xVtI3tRplfoslniZ1xup1YFQL1hSNM/HLg5JKa3GFUEX/uWQit/7Dl1s9Y/3HhnbynQ+YtOzQA4BT5+9oTp2TmwkwIobeuPgObJcgverfUPN411b5mPsIHJt6qDCeVPdxXhm/7hUH6bQAwp5rF7NfXo5IHU8LDDADb5mtJbGtD5du3KSkFzSI1UIFMLx3rtpY2kphHx0cPFKs1rUAigq9hCIze7TJGw3qIyWVbJVza60ONPdpKe6dCIuBtvMQ7pyYEy5uk37ADrtRfuVWqOZuM12owiL02PdIgwTo10AaYelTkAIZjpwvjuoldr7vyOpKwM8uoC5yNBkQBEHeGzHnS6t0RovUUia/cuanTS0cGkkCVMR2BFSpE+4YgqkFh0/h67gvFZr5cizRWMXMSIQQG/G+IkG2Ompvna176WxaCiK5YoyJ30DAcSx7Dv7Wixu8D5uNlPL5Pdx46dm7UR7vsYt6racgTIXdg2wYnPRDGR+dgNRzkyzwSuV1MIWGuBmtRnKgB/RmNATcY8E6ZeFQIHBQI7N39J+XQ7mnolXggUAoVAIVAIFAKFQCGwBgI0ph2Ycxa4i0t92Jlc6hgoUeqo3dv5Ryqr9HzpyF/nOtdpz6ejqhlypZqNUBvqc1HWpv5MRVR2dJYzC+Q7QyIew2xo+qcDHUlZnqp7+mzHQRuILQ4pUGVlaHWYFE1Y22xkbujARgDn9Cnu0WrHIVL46mKhaJVQRULzuns7fGTqxH6eClVrwyeD0agKcRGjoum5E4712itKohFtkodnMSkDstwtDG13BwKGWpCEH/SOCS0EyEoRBoSSdZofyVccNLZw9xzLAVmjvajRkUs5taA3Dq9H4886ilP8wrRl29JNbd9GUfc4/PDDu8C+Qafm6dCRKLzyla+Mt85bcLi7DyBd+HhkbYYjL4vbOHSjmY560j0My1HsDIyeuouDFJTvNPdoCks8t9NL6SpqSqdVQN3lRTTowIemoXefrwiTuNH0Q11OmqoklN7CX6yMsp5jO5VaL8eKVQgUAoGAyYtckzkpI9gUJmEYh4S1XeFMBS7/KQTQ6KAmR58KYFkV5v6mTnRNRSz/QuBQQ6BfxBxq9a/6FgKFQCFQCBQChUAhsAcRwA4H7TUsG7MJLIPxX5Vwd8mVe8acMm7TxFDTd+aDfUtDKG0Abv5xYxsjGBTH4q0rN+kjOx8dVGMXJR4pyYb97tG3K3kyays72o5poX4YnY0XnszgxCvau3TYuRUe8ToMz4fhFCVkMoXG8WiA1hPh7tGtkuQWrX+6g6e2F02fjTvWbq8sydQhkuhUgAq7/xk+HWyJcIe5m/AMQLAbGaZzrATIeu0V8hWyk6m7NJG2q943SIlS1XR7ppO7GsWjz9M1LdxJuBP2qCx96pYIzrgOvJOQ+fSczwjPzUKXGS1xMC7hU9LQZAaj4aPVsO1Ot4wG2NJz+73Uhzlk2yPfuHShHf1CyKH/jBaMQWFdl7Gs4TUDo+GnPLdfqamUy78QKAS2RMAlnCZrJl/YiRoNTLJrieIVsdxogPJciIBre4RkZJx1uGEUIyExtr+MfZHfDwOUTyFQCCQCRbgnFOUoBAqBQqAQKAQKgUJgryBAKZvZ4qnSuFvJKyZHpwKM+mOKh1d1MfeJIJZXGtEejcswCyuTLDagDiNA8Nq0SmesH1L6nk92NK9RT1Yj+LOCPVRUz/CXu9zlmMWnmxw+jHo7E+2ar5k9IXX1y1zmMjTmlmhhY6LRqTPq8MxcyNpGNIu0ccfa7RUlQWIyxzFaqrjKjEhjyoAvrER01CCjU4IDCPsb6dM5VgJkvfaKfjh66CELo8pL7szM8HHVmz4fVU7/1iFNh0LYL8Jf8/cVODjC8Za3vKUNFm7H8zlSvZ17s9ANc5zxIbHTai5RnPpyo9WksHZP3mYvJQwYjlRZo+HoF6IgVwHLN4Olw4iBhmPhauqK5gw579hmpeYTr7eFQCEwj4CJybApjAtOyVAdwcnJiJUtt3Q6ecYIlWnaSmA+qXo7jwCThgZVU5vDcGy1U0eI40EAp51wy1ve0hTpdBQLafPp1NtCoBAowr36QCFQCBQChUAhUAgUAnsOgU4PvStfaFivavAhNEO7pLCcfLCH80ewUWChyJyEuyu4RSQY6BLsHqe0aLtgWz5GvvSIZ0K6881NsHlVWpQwdYqnIoriVQSeChP+0qf1PLyMC19P7xvf517Z+RS2/3bt9oqsSU2G5W9L5WK39nHeLSmADHsOotZVpUwYMbEyn0L7do32IiuigkeKcIELXKBNauheqR+uURI5ItxR2KyQ0x9vC4ADYkCGT2sharPQtdlt6UZAa7XRoyckapgUlui3TGQ+wDZ7KUnGqK2byHQ4+gHWZY8uUcAEsfzugMKM0Yn5ks+83WalZlKuV4VAIbAEAYJVpsOMDwTwDsHQeScvZ9XEMbvnPve5VkQuWXn4wx++JKkKM4OAMdb0Tc/dlS1uFeJwHQuoAe4opPmR1NNdNbF2mkmnXhUChcD46drCpRAoBAqBQqAQKAQKgULgACIwz4quVzCarcOIYf+EWeThq84nwtiAhT9ujmM0zTbi2c52tvZxPTcqLXTZlpQzs3AnJ/cHP/jBKSMqETIMTaxkBwa9TiPetpMVbyfccb5B8A1tiGdhNuVYu72iAFPGcLJ4Q/Y8X0056L65A4DBIn/dawec6BvCY0ZGz6SPJrVGe0VGzmdsWa+V+mGUBKEQ1pZGS8uTlRh/s+f4Fg477DCEtRvnXE6bsejgK2fYnEnPcGwKui7ZhY8sxujGrosgHaHVznJ6qLRvvxtvs5euOvoJz8rEYx7zGDTcq077OZrgQI8fQQtl+TV69RDDbVZqmGD5FAKFwKoIuC/EMMu8uFviTTeseBHOOZ5F9o8XZuNu1QQr/CgChLIOC972trclLXZRinmc5JjdNlezGFHdzrKRQXU06/IsBPYTAkW476fWrLoUAoVAIVAIFAKFQCEwiQAF7eG7ILKXMFwRJg9xh2NLonNJysNSdT6Z6ZbZtREjFq6z0zhuw4Tb1nHqrssuMEV7Gnah6+oVfXBXibpu1D7fzZz4yjvc4Q5dlM0+RqWWoNq112aLkamxrU+vPwy70+9m/hvLyS6NH64T9bxc63+N9oooS3rFEsSyUpGsSk0ZXcmQek4EDh+Klgh3VmVawn1oTyYCbxC6LM9CBxMBxx9/PKsycUoGPY1G0V5ajSl/sgGajAuTGg0WmCzBfFO9lJCArScin3e+850OGbDw/tHTfopHHuPy21vd6lZbtuZoXdJz9yuVWZejECgEEgEDPlV3v/Qpxw4hYDrw26HEK9lC4FBAoAj3Q6GVt1VHcmOLVGe17n3ve28roT0T+bjjjiOkZY/sgJRo/+F5QGCsTAuBQqAQKAQ2hUBYllhiDj7CsEkSWYuIyzavzZdkywCj0Tv6O81fsMlO8Wo0ytAzbJGzMH7MMccM367hQ4nbNbBYdVtQd7daHXV606zKrpFsV9n5FNZur/lk13trNeW8ubgOmx9++OEXu9jFutZBuC9PeY32ChvrS/rYkjBZ1CjJU57yFKqU6bnEcfnLX/7MZz7zJz/5SWR9XD3qJk+8NlqZRfg2hc1C16bcuYe9y2fro2Cfl01z3fj3fu/3WGHaJhndZXqgeqlL/PyYckaOO4Die9QD6e8/9alPpaRJxjB1EWtX/tHHA1Wp0cKUZyFQCBQChUAhUAjscQTKhvseb6ADXzxHpB2Xdsj0wBdlQyVwZlaNNpTYXDKf//znGcF0kr0NtP/wbGtX7kKgECgECoGDDoGgjJfMjHgrtUtzE3HHZt6vOFVxt5lNvZrxTzMdEcaZ8bjwMMowE1EAyq3OPgsT5sjjTsuZKMtfIeyw7de73vXcwchgd8e2S2dVq/qRdVfZ+fKs3V7zya7xlike99SJ+MhHPhI37aR/x7Z7tRIga7QXkzVyYRrFb74KK/XDNUoSuVN4v8Y1rsEdWu0crphjEMnVwa2698ahm6n7sHedeuqpPorzne98r3/9629961u7HK9j21dqtdGsD3gvhbY7Jxw3YWCGTWcVJPYYvc92tPyjnge8UqOlKs9CoBAoBAqBQqAQ2JsIFOG+N9tlb5WKMsh29EH2VmV2sTTf+ta33vjGN9r2d3kWnh0g9VgIFAKFQCFwABFwXarcXTNIeXymGEhD+t0C5LWlLId4/PjHPz4TazRAmv4Mg9Gj0T/zmc90/he60IX4MBbR+bePaESmPJzMC082XjhUrQ0zdKMdnX5j32P4qvVBkn72s5/F3Lk0bGpdNFRQWK+ybb6de+326tLZ/iP1YcwsheKgmEcTHAIyGiw812ivn/mZnznHOc4h+nw/JIChdT6TdfcqSrJlFMaF9Jyur9L0l1pyu8G8X/va126z2BR06/UuRm8UBhk9FJBEIVdqtbZe6d7NXso8DuvtcdIiC9A6rnWta4WFH8KP1n9V925WatWyVfhCoBAoBAqBQqAQ2GsIFOG+11pkz5XHWtwe5oQTTthzJTs4C1R4HpztVqUuBAqBQmDfIsCaBCvkDF+8+tWvnqnka17zGpw7S+VuzYpgDJdzvO1tbxN3KiIuzDWG3VtsdTB9cedk99ajmyTf/va3d/5XvepV+bz2ta9VjO5VPgahdpGLXOT0pz89z9/+7d+WEeMebobMMJ3DybPnPOc573rXu1gC6V51j2EInuZsFL57G4/sR3f+61W2S6R9XLu92kQ24g5A8sTDME1mPbpzfsMwrc967RX98HWve12bVOem3Rz3oHb+U4+srHilNWdMLem9L3rRi3TvYPwzKR/IBS5wAUdGnHSkdw+Bs5/97PpkBuDYFHTr9a4tcx9247bwS9y72UvZ/3nFK17BRA9TOVNlCwnKlscgpqKH/25War4k9bYQKAQKgUKgECgE9j4CRbjv/TaqEhYChUAhUAgUAoVAIbA1AqF2vao5CCrbrhOUusstv/rVr45mw27MSSed5NXtb3/7DIDoxCTiMRHW6dk5Hve4xwX33flTi+aDBu3849H5sK985Svdqyte8Yq/8iu/Ijt2XbpX8YgbPeWUU7hTm5ghGpdY8hHlX//1XyNY95cg4etf//ov/dIvXfrSl+5edY/ByKP7p4yTEBKE7nAXcY3KRgrRoN05gLXbqyvV9h/DyA9aOQz4DBOkAB7cbvcq6sWzq9p67XWjG91IH3v/+9//4Q9/uMsoHh3dUBKJj74d9XR6g8UVAoMZvWlmwUmGrnzlK9Oy7xJJJXfMte/xmte8plZrw6wNXZtIuNfoXZG74xrD1Pjo3vEdDd+OdshhMD672UuZVieqkemMyFAvFcB4NVraoedoTXezUsMilU8hUAgUAoVAIVAIHFwIFOF+cLXXASitvRDltTxUS4vN46c+9SlF4bZNZabcXWQPeMADXvayl83oAY0WneLbC1/4wvvf//5SkI7T3PY2GdLtRvISJn06h21tdxkXy60nn3yy+13vfOc73/Oe94wrkrpY3WPkMqUu58yvMlB/a2PZ7b/0pS990IMe5FIm58of+9jH0m9qwyiYWHH03hKf24+GnUQ6PDNZezY6UI9//OOPPe2HGvjoRz+ab9PRlvYLX/iCDWSE58g2ysDlKAQKgUKgEPh/2bvvQO2K6l78v9hi1KsmGntUEmx4xRoUrGBB7IpKRwQriiiiWCgiCgpWBEUUKYIFG4IVRbFFEQ0xWLB3IxqMseSm5/e5rHvnTmaXs5/nPOe85z3vev44Z/b0+c7M3jPftWbNJoVAaF4zBzGi6dkLCELQZY8+wW4E/fa3v93E8W1lfcKH8m53u9uDHvSgEoqT8u32eNJJJ7FpXvzD4arGl770pZ/4xCdcz9gEedx+++39lcp3rQm98MILGYjopkKqyvBKV7oSJXdfvYarZe/lGc94hjUDqpS97JLnE5/4xOtf//oadcABB3RXKRj/Y445RmRf817BQMmH41rXuhbNZQ7VaJYNPuJMRR988MFhzUZl6vXMHI2NcqNDu8TofP1Vt2Uhbjayr3KVqzCgx5I7BOo8LREZdkeA7rbbbvwbEyVGTtxK2m3aHP1FDLPPPvsoxfKvaz7IkLAmVEm3g9Y1XNJtdaqeFrrHH398I1Gw5NNk8pWrXvWq++67bzcrPS6IMZkPfOADQosEqMScG7qSQ3HMMbriJtgTTjihK2CzdtUFxjnD7opoOi4G5CWXXFJKH3Gs5ijdY4891ITIsNkXRPV4vutd7+LudsRQ/df41BuqdvonAolAIpAIJAKJwNpB4EprpypZk7WJgC3T85//fPvwMFxIU8njDjvsYKeEJUc9b7bZZlRLbJhZq0R225bQCZrSFnsYu1z5O8lO18Z+nkab1T/SOczC0m5DaltD2yR3M1ST/fff344l9tU2P0hqPLituK2X265cEuVoOSWdXXfd9TnPeU43h/CxG3QMmf1WqbpxJKcw5R6wohilkkceeaRq3+hGN6IQh1DAjKMM4IPfv/rVry6T1772tdjwyM12y4/bzlOSBs+Ig4s/6KCDYAhJJ5G1RZ5nnHGGA8jY/LgQLGJGbVUYeqeddhoS4SY3uQkGQUuJLmhUBfcRkfNvIpAIJAKJwCaFgC+I7wh9XrQvclzbGS/ecsstp4Dg0+Zr+4UvfMFH04dVcp9mxDGfc889l5Yun659ua222orEHQHta+Vjx+oLHVJfOsJmqwJsHYLed9zyoKkD5gtDjblzZyML4He5y13Q2b7sZM9E1LLFY55yyilNKssD33q8qk+eDx9GT5OpnTKiLTfJfZdFqLWJEWc+yk996lPlTNtduchE33R1k0MopCP36Sk3ZfU+EnKTSRAJuDF1p512ik+2BQzulQkRmViZwOGXv/ylCMySxEd5vsaqgKUFxe23ve1trJf44sfSKyo2X3/1NmpuT11GEmPxo6esWzRT7//+97+PNSGpz/Oe9zzDxnpGqJtmd955Z9roUZym6REiiu222w43rVMkFzRffzl4AaIPfvCDhtP97nc/yBu9VkfoY91B+IE9HzF904uAwXb44YcfdthhDnDQqzDY2FMytHS0gnS6BadesAzrJjcNTSIrRiPBStXyr4mzHOiarOYYXQa8WUYU8ZjHPIZxc+rhDCUB8DOf+Yz5bmFvOjubYilLVsFgDpWaKDT2AsQke+21F816p0bMiOCmm1rF46qNUmhbAxPFeTm4ZMK6Xb94EVlga2lICGjJxD0QvVVtPNf41Gtqm4+JQCKQCCQCiUAisAYRSMJ9DXbKRlAlWxfLVoev/Y1zqbbiJ5988utf/3rEMTo4TmKOtIQy+xFHHLH55pujoW91q1tFTDehYdjtitnEtKuxZbLct1DuvZ2MuopCY3smOfU6bDvBAHlA2VPZS6AP7FRvf/vbT9xLj9RZEHP2Ns+2Iqod5iB5WtATEljl29Lb0fHhsAmhHa+NzunHefbrXve6vZkTDNi3EF2oqt07ZTHRIAwE5/clt1O1MavT2vk4pAzt0FESRDhhk68OOHp7wjpyuhOBRCARSAQ2EQR8QXx30N9spCCgtRrZN5Fwx7gde+yxvi++pzhKvwIa9pB2MCqz3NBYgjgQdj7ZJOhfufxXgkiLfTGxYI0yeESQlW8cQhOVadngF/7KUhBSG5tZsqod9773vX3WUf/E4b6DJcjCgzYA+XosS4o/h2WGL+mrX/1qn86GxEfQW8nUavt1wq4bnhQLrAHY2OEoEVQb9Yz2VQ0SCKQ/ps/3PSLM3Virgosvvpgavp+s4EzXIfKcu79KnRfi0FlqoiOQsH4lT8BaGoVKhN6kl8BQibVNiaCn4EMwE3fV7rjjjmVFN0d/OZ1g5FvsGVTWh36lIKs195oGf1o8JzosqPC2epNEp7EtY1rhduPEQ29u1n4Id0GlXU20uaFr8pljdP3Jn/wJhZIXv/jF7jYwm0qGYCQzIyax7NRrKHhUtaFeIhBCGOespZfJTjA2Qriv5ii1gzBySEfIw/xKnTnIBmLbUnuOu9f+1Buvf4YmAolAIpAIJAKJwAZH4L/ZE9zgtVkfFbBy3WWXXdZHW7SCfhAjrYhsO1WPzuRai9tP0kezUm+aiR12mJciG+2SJqh+vOyyy2w/7BCoaVv010FW9lThbGipuvPHGqAMuO9617vW0bgdH7ZPs3mmGOVcOdOutMtlaHFfx6SChAuwPy87JWto22BaPBHNbt8+f0jD3UbClp6+T2i42+iSCjiXSlRQl6ICALGTpIlWFOu4keCkBfW5+AZPmTgCrzLApIdY58lNhGC/CnCH6yMoaqvJhhnev46vkmQVCHdcSe2f7kQgEUgENi4E2KCoOaDFVp76Nu51sXmutdwY96C+Tc8dfUa1tvksLllbwmyf8u9///sUxqWlxO3LEsLg8bTMtlBtJj/2xcRwoTiXNNIiQ7IBJtFwr4qgH023PYyNjJcllEydYJsGsfYStNORL+L2obTqRnBuJUNSziC7SmJjl1QR6OamRISjFQuQsY1AVu1yEq4bv/jM11g64z//+c+dfrPO6epKz91fpVbLd1j/6Auyf9oG1nXWJ7jvshwayd+CMMwfSeXXxJyjv9h+MZwoobseE2usGmEapcl51kfSAj2uPrqe/gS2nfBj1kx6488NXTe3OUaXLgOXXjDTYxJ15VXdgix6LaQd8TRn6b9PmearNkoV5C3kXeT1RWhH7EdIMHdnrf2p1+2dDeUzZb7PV7eb3/zmvkfzpV2vqbziSDG/853vGPBOlhOSrdeWro926SZUAw7By9ZrEzngvbT6TaPh5xuN0nFgbvVLzxI3CgS8Wxw9ZCvC4cWNosILqeTKfb9Ur197aCH1zkzWMQL2G0XHqm4mVSC7dFvQccIdLU7fjeJbd3Nl9+u4MaoFUW6T70Q2wt3R3YZwt1t2TJj2EOpZBWwYENlOJXdpBfZq7IEp6dT1nNvNeD06oGHb5UZ4cItb3MLJ9NjgTc+fzADb7sB1l22XCckNHUMH1ekZ1bsFkRu2XWSZ2AQCf3rpGTMRSAQSgURg/SFg4dilZac3E0uFvPabniRi+g76zZqKBrHfrKnExw9O10yP/K06Qud6juLqJBBmm2K6eYqSdr7G4tmtiEomjWPu/mryWc6j1dc9L//NmolNnd9Qqjn6C/k73+gdqkP4W4PVy7DxyDOFzg1dt5Q5Rhcq06+b1biPRe+saKzaKFXQfHOzt8lrf+r1Vjs91zcCjj25aIHESzN9jMiP13d710HrGABwn030FxaFosAGadTXv/514tIYORukAuu7UIojrOdRwqCruvG2lBKA04q1QeONty1rpOZXWCP1yGpsXAg4Qts7D2OHT6lkvDkEvHZEQzZeKHRLHmZViX+x2z5RzbeBnRlxyildrDp1csZkuuV690nr69INmsPH5VdnnnlmN6FvJ3VC/rMWFIfEi0nTbs6CZM7ObB1EYb9+LG74k2SQohefdCQCiUAikAgkAolAIpAIJAKJQCKQCKwDBJjwsrd1tpvtLPpnzCitg0at4yY4HYXKoCNIZRgh61dMwq7jVm+CTXPihG44w8KbYNuzySMIpIb7CDgZNIjAkOocTRBpnOcdTHl5gFuYHEENhrob06Fpnk6DRhA1dtYzMc41Qe8qNoo8cXeTaOj72oKkY+YsTjp//aMf/Sio+W4p8/nUpdCpd8RYK6jPu/hrvtOOYfC0NKRbKwf5eTZ660viT8Gnm1X6JAKJQCKQCCQCiUAikAgkAolAIpAIbIwI2CYzA6Xmrv6K68HqzenG2KJ1X2f21rTR6Tq3ea/7xmYDE4FEoEEgWbkGkHychMAUc41DGdEBd/aNEZjHPOYxQ3H4//rXv45QttGZX8ewF8KdbSmUPXvldXIsP9MrRP1s2kRalmRuetObkv8zuV7HXKab+Vd67qTTITBg+5WRmdvd7nbshJJgz5p5mJhkSXYoYaylChoRbTn4DxWU/olAIpAIJAKJQCKQCCQCiUAikAgkAmsTATtH6u0sydzgBjdYmzXMWjUIUATkM6Qt10TOx0QgEVhnCCThvs46dCNoTpDF7rB62tOeNlLdcmsTMnrbbbdlegXpHMQ08l1C9uJLctam8O/4btw3s++0whmiueENb2g5Ig6T8SXmrI5GW/+YY45hX54i//bbb89IqFbg9NmylO2BBx44a+biU0VXBKMxUdVuDmEfZspVbN206ZMIJAKJQCKQCCQCiUAikAgkAolAIrAOEAjjpbaNc1z3vQ6avzE2IbosteU2xr7LOicCy0cgCfflY5g5zIaA9cG1rnUtB+KmXyjBqgzVdb9QimclxqWstaD4rW99K7b9kY98JDPuQX/XdWpI8zpoSfc//MM/lDjM5GHb3QXPdl5XJ32+UpjCx7YzSjN0ZRzbOCrgarhSjXQkAolAIpAIJAKJQCKQCCQCiUAikAisKAK///3vHctmtoWKlYLs2pxydtz5Zz/7mS3t9a9/ffa4mQYdp7+d7f785z9vI3nZZZfRtaKcfve7333LLbfsqlspS4kuJ3OdcrSLYWiWRT2GSvuvfvWr8P/a174WDjvioqYWPvaV559/vqyow1/zmtd0MbJNd9Q/ItR/5YMLvvWtbx2eNL3+9m//ltFUV6C7Sq2pjyC3prHaarstW9pv9a3Xau64+Te/+U3bZ5t9V745nn61q12tLq52a4vcIj5gJVEoNbs43l3HpCTuolHXaFOn4y8h9TvWXNl3tSVX+fvc5z5C6ySNu8YEmJtttpkuGL/mXSlgjOpd4xrXcFO0ug3B2BTnEUq6myPIBPWPLgMdjb06/r/+679+8YtfvPDCC908BwfkwJ3vfOe73vWuvfp2TY/IJ0YIdUDVq7OdyY2ZwaW4Qu/SSy8lIdAFNAuN7atc5SpD+Sg3bOrqd5AaDy6ZG7ngfdb4Q+WGfw0aEsY4ZG/AMGArfyThV7/6VXVmpYCypgGD1XHdezN9muRLVvt3v/ud+SJV/FWxMjeZUDYBmwyHHp1cUTdTzFCRiSEH0m222aY7Sg0S99/K51a3ulWYEdZxLBd5KRld5giizG+oIP4mjqkHDYPcvDOq6ZL2XtA4kkkGTUQgCfeJQGW0RSLg7ea7YhFghnfz/e53v3v00UczBVOuEr3b3e5mQfPBD34Q4e415JP55Cc/uU7oLWOh85znPMdbpvbn9kLxHqxXA02E+JCI0/h7dAFpbZk97nGlmN9l20X2juvmsKTPHe5wB/IDr9eddtqpN/JnPvMZ/uMvzd6E6ZkIJAKJQCKQCCQCiUAikAgkAolAIjAfAm7beuITn8j6thsvuV/4whfWe0N5nnTSSWivww47zPa2twgaYza2uNQ69E1vehOaXio0bu3/kpe8BJt/+umnY6vRdi996Uvjuq/Gcil6dPfdd4+EhxxyyKMe9ahwo89e9apX2TLXeXK/8pWvRKg5jd3lsuWDoyQPEA2LzY4rvo/bXhvhXuqD1j/ooIOQwnXOxx9/PEAcLudpP3vEEUfYO5cI7373u10g6XQ46rZ4hgOle9xxx9Fji5PcdSis9tlnn6c85Sm159vf/vZTTjkFM0C17sQTT4Q5RrKOINV+++2322671Z7hHsJE3cghDj300C5LgMDVQSeffHJTCnBoAYIxbq3rllX7UAfUwOLDwq2fR7TmueeeW/w//vGPu6wOzV18OE477TTRnvWsZ+2www61P3fpkWaE4OjnJtwJFV784hcHh1uKMwhRt/qXZKJ4hkNtxQ9ipA4yRx70oAe5OLSIi+aLX+fZ6+4FTUzMEjqIOeJuKm088sgj8UhNEKnG4x73uCc84QldEmliMwkqnv70p5dsf/KTn5S5edRRRz3wgQ8sQSOOc845x8xtbAiLb8jpVmjj30tywzKKcBnvb37zm+c+97mMLZdQDqPX5DX1eg1PnXHGGW94wxuISeokpoPXyHwGG+p80t1FIAn3Libps+IIbLfddl/4whd8dbzduoWdeeaZ6Pg999yzBCHTH/awh3l3ILUtBbzE73e/+5VQDlJKwvnui1LQ2WefXcfsumPlQVy8xRZbNKFstdfrAKWI0Cuop3rQvOmarIYeSf5f/epX+6T5fnfl2KQF73znO71hu5+6oQzTPxFIBBKBRCARSAQSgUQgEUgEEoFEYFEIUCBF6doG+ksVzOFjeuvYcOwVxg1HjEFm1LQpDuWK9uJp67rjjjvS/8U1UyzFqLr79PGPf/yb3/xm+uxNKo9RnCJsexH6CHcEK3+M9llnncWx6667+uvHjGo46O3iqX/0ox/Z29pHU0+muku92qZbcXTPlfvGN76R/dWI3/w99dRTsXs8EdCqVNeK7q0G2pai9rbaaivZUjl/xzve8f73v/9FL3oRrTgcPeY6tOUoj9PAxW/KkPAAa2zL3xB/L3jBC3CmlH8hoJ7IZTtuTCXhhMgqqdVo0KaGHoEJUkwCMOn/Uu/99re/jdp27ABtTWe5YahrTPbYYw9laR2dP/Hf8pa3UPLVLvWsVQCx7Wh9NUEsgNFWHe8sCRhR8MB3mRy+spcQqCuMAY9HCSVxoAEHyqe+5FYdkNQ8DQ9UgOEBOpEBqwJQojTdyB5KEc0IocNXgmZyuP2ONqFx5aAAzNUTqqRKTPISDDzjGc/AGpeL9ORsRImGjDYg0b4GJ/EDigaY5CKIGhFIYsrpjVnjL1n5AprxFqDpKaC95z3vUWF0PzXKRpFRFxiHZhO2x8ShC6/71Pm8884zjIlwCLeMn1o7fnq1yaJiMjrTgAE3lgrjb4gu2RwRsD0ve9nL8F1ESgawGcptThmlhhy7ygZkjJMmN0qo+k61XaFMO9NLSbV1BImUye5N5e3UnFFQkOLwZiCKshBcJtH73vc+FBxCTKqmlHxMBNYcAj4D3pXr5kdu5g3+zGc+M1rkVeLRtO9toAWHUF/r3tDi6Z1O3OeoFDFj8QyHF6Lv06Mf/Wii+zrIC0XOJ5xwAimfL3odxE2YKfTDH/5w408O73CTb5jiSpB3GT2F8mgpIC2ReLdE55IQ/UK9oMX3euImvS9pw+GTI5p3q1BrhRJK8Mvn2GOPLT4cDZ58NEo06glNBSzIwC5IuSUHyxo+vr7Fp3YwZC80alv7pzsRSAQSgY0IgVi5rtDXXeYbERRZ1UQgEUgEEoFEYO0jsEKfbNkirTZg8+0l7a2e9KQnPfShD8Uz2sc1lcHP0pwVBwuM7apDUerU2AXhLmt/bqkOP/xwQbRK6auWUPwvT1tIe1X7UPRuHSpa7MQx+yVJOETbeeedpVVJ7HATqtqobaG22NjzOpQn+YENOIc9MqW3OjTqI0/MJgMpdRB3bMBjZ93d/uPQEdayxZLXCZGSPO3Q2U2t/cONaxbKkka9n5U5T4w5ZXm6wE0qYEZNbMa5S+g4JpoT23znDEoSDmSlsii/oyxrf27AYgyE6rsmaOQxNu9Y3SYOSl1WutKJhCbIIwGJIBGa0CVHSDer4oOTlWFNI2gRnoQndkV/lZjh0BcGMMaGFKcEIabFp9PdjY/1Nm6FIr7njl8S9jrGQaPCqHTNRByX5MgZmov8SQ66dWYxxswV2vTprM1UnGMi8jGjS9FTHGRXEJbQvOjGBykRl1AvkxJqavDxMzFNCnrxJSgcDiuYKSLowTooJpf57rVW+4ebxEKSeC/d//7370ZYxz4r9/2S8xVWNPfMPBHoRYDU2iuP5NPyhd46IaoFilcDbnr//fcniENqF7lo5EB46HVDyiemFU+TLQKFJNALgozaJ8F7B/WvCAT0s5/9bKJaq5OXv/zlF198cZPQo4+ZbwnBpphkvNJ68fmW77XXXsh9r6SShBiQ5NzLyLkecnufKNZvSFmtM+QQp9iIDX0JIkkcErRU8nYjnCQzKFnVDmr+XvRK5GBAxuefSFN871CW4ximtzaq46c7EUgEEoFEIBFIBBKBRCARSAQSgURgFRBAQ9PvZvOhVk+Ocu1A2VqhM8t0CVK1roxdIYoK6Ww3V/tzS8VYB711hBqd7iaU2jutVYrbrLX0HuBu4ntENTpvTVWcJmzXbLRqMxlBARa9aDfdTW4PjqFjtqXXiqlttb1510j63nvvLSuHvOW/7777NtnSog3DF2GvpoTG6XNBvReYIcG1gnJeMYRdEtrI77LLLgzHF59wANMuHnVgr62BJXQcE81BtYuM0dZ3kYqDfj03yy1xpKDkxgHYGAPUgVEBddCsbmrFipCKCjkzLN3klMop3vFHaHQt384xQrpF8DFiGTtCldD8019NHH1h9JLQOI5fgsKsEPajG9/hBvSFmJQg545fEnYdS4KGjTGA6SxS1i7JycOYT2Gr/XnPe163zk4VmBqGkD6lhVlSzdrMknBWB+EEhDFOvRaBQIomkqdXUDdnmukEA/X5jIjDvJW+40YllVRKMXo9OqfStfLEn6hAd8OhJEnHQhBIwn0hMGYmMyNAgOZ77xYIF5Ca3l4lXpHh42+5uaXOl2jdmwLzXo5olVC5sd2GxycAtzTxwkKXI769YbHz3h2+6N689Te4pOXwqvKaw3ET/kvLyJ0Vklr59tTRLCZ8ltxz4k1EiYDeASrcV9lfYmFK9JZNFAQ+9alPRSpV9dXBy5NsO+mDza9zK26vfpX3ubVe8Zec2SdWfIsGhrTk7BtQIqcjEUgEEoFEIBFIBBKBRCARSAQSgURg1RBggaHLOEfpdmp2cNyo5DBAym3fh5O1eaRe1ltJG0B6ZoK6hLvrVRHcvXx0b1YYxjAXjqJVYm8c/qxqCHJymup3HYfCLH212ErX/sVNnBDmUIpPOJCVoSFnF9wrGIjbQZt7zoKq7qX8Itu4GbWxei8IYvS7mzrEI7M2YVqnbPanYELrjuUcWs+FaXUWATg0jvGzvQURWtApFsRCfW+EiZ6GCoqAcl7IJHpT4UZUD9ve5UBnHSG9+et3SoGCDIy4e7MbzQUGbNsiN+gjRig2hkPabmQ+jPYEpCV01vglYdcRoDnyMgKaC/8kRMhEcsqRzouYodj2bobhY2yHSIzlpRJngdUuefY6Yjp02a0SGaHE3Z0OPLFVBmSJWTvCHLHmF09nJmLIodSKZ+Ngv6g2Ft+E5uN8CFxpvmSZatNBwOfZGZbSXt+z+rH4h4OAdCS0iYxV915zrIn9O98S05s4rrk6pk5Cwdyv9qndzHg5/OXzg6f2yfepxsLHxwMPTn+8RLbOKO5wWD+xxUbRXk18P7y5pI3XDeM5fiW+hYXklPF9zn2eSeDFjJUNe3b0AkrMcFj3uHOGzRmPoPO3wTOiWUDg+n08oMfYHNsybrVW7e7ahSg+pPGRsPlLetH45GMikAgkAolAIpAIJAKJQCKQCCQCicDcCPTqn5bc0MfMlDtRTQvbmWz+aD5/6VGNXLDphLS9JPMXEtZWzjGA9RnrUsqQgzI4Po6iK0MQQ3GiMqy7UOKmsd5ostMes5MdSttELtFsVCl9Y/G6yuARJ9rekLOxEx+ChU0Ye2HJMealoHDgGbrKvCWOvT+FXwcRwicwufa1rz2OiQMBkuiFSBW9FtrBJefGQTPPjrtR22/iLPkYqsdgRwIMRUYTi0AQInKw/CXmrCOkJKwdTPtiYHAO2Izav3brJrIHGus0rONsASGKEUvj0KgAbx2Z20hgDKD2nDV+nbZxB2jM94+AxlQRs+xFW5E+pUw0IWjrJsPySJym2voUzx6X6i2w2qWUXgeiiUGk2nx8E43lJT7d6cBzSCwkKKRWbEmV3EIIgUxrzEiUCBy0V82XroCnjpPuWRFIwn1WxDL+ghHAsI+Q7DMV5qtPIj1TkjqyMzt+tc+Q24UbfkOhjb8318QbM9Q/lmhNDvmYCCQCiUAikAgkAolAIpAIJAKJQCKw+ghQ4aJ0NV5umDCllRW7OQ7x6VCPp3LnJFOiIteEe2injiesQzGnHtH3XVWtOppWUKR1BLxLuI+XOE5WKsJNpHVB4+7QVOvGYUaGQq6LNwHSDeUzrvIflCV9uEgbmKCSxzFpmkb3TvLxXrvpTW+qLBp+JA0jAoDeJhRPXcA9JMko0YLZYE2eNl4hkYWO91dJPu6YPkQR7iIH4U5HEPGtpyhKUxbEz44zObPGH6nzFNCYJjanSiYxDJbEmdGFuGHYAAjxwwKrXSrT68AU9fpj2J07ITBws2tvBJ4jM6KZDiJHd3tNDeUW/jQ+k3Afh2jW0CTcZ0Us4ycCiUAikAgkAolAIpAIJAKJQCKQCCQCicD6R4Ae95DNjdL4YMxra+CC3FUWxl5KtMaBt+XT2IuIU9FNzJHHSI4IHokTQRHHhWFNzPESR9RvI59xUrspKx5ZbnEwHYVKLR2xyOwMQ9uCZBXUZzfVEDXZjclnOiYlOcY/lPFZdi2evY6g9cE4H+GuoDA9tGSXUT9XAVhRw6/LGu+v3jp3PWOsfu5zn3MZXje0+LjfjrsMUSYKjGomjxz3P/7yn/MBjA75Eef4WxKGY9b4TfLyOB20koRj+jDQF24KLFNjUdWuKzPidtmDOxjMCH8ZXTAdVCbig3dIBDXTjIgMlxw5teRvpMIZNB2BJNynY5UxE4FEIBFIBBKBRCARSAQSgUQgEUgEEoFEYFNBIKxMjLc2yK9iwz0ciLMRAw6RIYq5pAofWrrjZTWhkXwK+9ZUsuQza4kl4RwO9PEJJ5zAcn3cBar5uM5tttmGojTz35SRmdsuRtXnyD+STMekFFF6oRiCL0GNQ5+qNgq48Z/4WAqaIskg6cHvS1IT7gvpr6gGHpaq/njNNTZsmkc0WtIOIlxwwQWf+MQn/CU04vATqiuJK9h1qTOcNX6dtring1aScESq+abGQqpdV2bIzTY9Ez1x1YGh5dQFk0EMJPjRN3ckJS7yHUo+0T+gWHLITcFqYokZLRBIwj1HQiKQCCQCiUAikAgkAhsAASdG3a2tYIvpoUPWvdVyMbgt66tf/eoldVV6kxdPymUvf/nLqVD5WzyXdNgbMJF5j3vcY999943Idqeu+HaonDnUJZOPR5Cz/NlIDWTGI2foSiDQ7d/5SlnUKJ2v9GWmCo2/4447buiaxKH8TSXTykVz4xafh5KnfyKQCKxBBEL5erxiEadcOXi1q11N/GOPPdY1kuMJlx8ahRbz5SMZRpxZX2sjGc4R9OxnP/uzn/0sHpnhbDbuey8tmyPbJsl0TErC6DKPqrcQRrvk3DjKICFyGF/7oblDm37Ewn6T+fTHaK+11n777Tc9VcTUfczahGUbmvKuLmDk3bWcDiu4wU4XN/eazhq/W5/poNVppw+D3qmx/GrXlel1n3rqqa95zWsEMcju7la3QTRDAuHem3BWT1AQriz5KlsywqzlZvwrJASJQCKQCCQCiUAikAgkAquPAKOc7EX6FaujE+vAFKNUtcLRxIRNNJs9+SypzNWkckRXqp/85CfFn54Xn29+85vFZ26Ha8ZlFZo+M2Wi9A9+8INMnc6UaoNEdjGXqsa9cBukAgp1flkd/Ehumjp0+7eJMPFxUaN0YnGLjWYQ+vVeUzZe0A9/+EMJy2Hw8cgZusYRGJkma7zmWb3FIuDuwTCsMZKtuS+0XL8ZZs3dhjqSZFFBYQXie9/73pIZMr0tzvWud70lY65QhE9/+tPobNwf4TpNdvQi7emmrFlXRE3yeJyICbLYEihMdtDtDfVe65DePBfl6cBEEOjRHSPZsrcjlG77lDMWI/n0Bi1qiJLfUGl38+eHPvShxz72scrCIIetpN5yZ40fmUwHDar61O27EsbdoUvibDXOkIv4I1Njvmr3IlA8vVXI9T2+5CUvIZwjp2/YdkELmQ7yue51r+tvXMHKMfSL99hQaPrPgUAS7nOAlkkSgUQgEUgEEoFEIBFIBNYQApSADj744HPOOWcN1WmgKg40qOqGlQ3Yi6qDX2ozDfRSeicC/19OkxwEBQHmlYu76yCci+sZiw3rLbbYQrSLLrqoG7n2edWrXnXggQd+7Wtfqz1ndbsuVZK/+Zu/CSMtQ8mJxqMVS94hOZTD8v3/6q/+Sibu2xy5hHYhUoqJmGA5H/OYx5A9R9Om9BoYkct+xcjJHLDEzZzsp4+njQhxDe94zDlCo7GGzXja97///Yaoo2+ifelLXzrqqKPe+9739iZxLOCggw5iF8ibk1hljvi92RbPAC1yLp6Nw+B59KMfveeee4b/RJzNU92KUld5CWdtZlOH6Y8KwqezF//gBz94KNWilDOYqVHEksaalowwVM/0H0IgCfchZNI/EUgEEoFEIBFIBBKBtYiA/SE1oq4izIaqK8UZ9Xn4wx++oSqQ5S4Qgdvc5jZ6cxXMICywzplVIpAIJAIrisAQyRiFnn/++QxhU2/3/gwfVtc4Pv7xj49YeqEFfPrpp0sbd2POXf9b3OIWiEIXfr7nPe8ZyUQTsIpMpY+Q3SPJFxIU5sJH9IgZJ1mIgvkUTHCdwWhTtI/WRa+dddZZI43Vp376LtThR2KOBD3wgQ8U+r73vU+PDEVD6EeHbrfddkNxluNPOGQZ6UAhazBD+VD9fvOb33zeeedd+9rXFoeE/swzzxy5B/gKV7hCTAGHQuaIP1SN8J8C2qc+9SmR73SnO13xilfkYLOIWRhChXGZ1lvf+laRKZirP8eszZRkvt+S08EYWFIqM7Hoe93rXmJ+5CMfiZuBe1P94he/8DrqDUrPuRFIwn1u6DJhIpAIJAKJQCKQCCQCGwABqlXPf/7zV8Km53yNccWT+jztaU+bL3mmWlMIoNr15kMf+tA1VausTCKQCCQCGwoBZk/QXp/85Cd7K4AzpSgtiFFy7F7EoU+KecSXhYHm3oRuPWG26AEPeMA1r3nN3ggTPV20+PjHP15kx6cY0e5NxZTEG97wBkFPetKTeiOsjmesW9jd6i0OXBSoe4Nm9SyYuKB1yEqGmz+ZUNtss81C+VcRD3vYw5guoe/84Q9/uLdENXzTm94kiBp1b4SJnve9733dL3rZZZe5jGcoiSC2bohSRB6Ksxx/LXXUQA6veMUrusblImdCGvYDGWYJc+13vvOdzQUWWob04o3nb33rW9Le+MY39nfW+FHo0N8AjRUgFe6NQ7j1lre8RZB+jAhEO6E8fsQRRwwRzeeeey6annp+uTpovmoHWT+TBZiYDiwihgGcbqOcgFnySttuql4fhLtOgR4JSm8Eni6hCUHFUIT0nwOBJNznAC2TJAKJQCKQCCQCiUAikAgkAolAIpAIJAKJwDpHwP3kCMcXvOAFn/nMZ5qm4vhcEYmURIwWQxYRR3wcHMry+OOPbwg1isNsN7tk8qpXvWq5frzJeabHhzzkIfe5z33QwU95ylPC8HedHEP65Cc/mWDgbne724Me9KA6aJXdcXZKw0MTuS6dMZCnPvWpdGx32GEH/su3pBGYoFm1vXvHDIPjr33taxX0rGc9q1SDUZFQHXjRi17Ula/oa8ZV9PUtb3nLZcqk0ZovfelLiWfe/e53q0bD0nokjHnXu95l/BhFXTP3pcLLdLjf29g2YA444IDuUQwIHHPMMYpwD2rwsIzvu9iTD/v7XcPoqk1IIDfq8Ky6izZr/PHmFNCcDMBEN5essIf+jGc8w/ghPrn//e9fsjI9CQwMAB3dvYnBYYVDDjlEZFCUgybzVTtOnRq30y9xwewj+h3p8DYgqyh15jBuGXZ3xGG33XbzuPzpYCwdeuihsjrppJPe+c531mVxuxTKgPzEJz5RpA5NhHycG4H/I4OdO30mTAQSgUQgEUgEEoFEIBFYCALMmzLp6ISv/ZUdAkOrvbZWaYfZrjsxbaXelMuf5pFrOa3gLd/tH2w8KHCJZjdF980h6DBS2ST0aMFN0+eSSy6hVHX1q1/95je/uePVU86e2+S7rk2d7UK72Qr9whe+wHQsZa4oncJRHE+2webJIo0tXzchH8o4dsUus1J5SVi6xCnYEpfINldx3Rk9NZ72OeXg8K1udauibFjiN45I7na1uD0MAo5O25hB72pXuxoFNDpBQ3CVrOgfYWHcEaot2BMdt8022zisTcOuxOHQijg8DhCPDqRHVSXpgvyDH/wAH0Evj01eOlA0JTU8QKvzFCpOyWHJHjQk1FMOxknkQxnN3pIbqmrOAUnNV1ZoqEW0+Cu5fmTiE+OgFdFYZ7fvete7No2tU01xa69D3KCOQ/r6HSOjaTpUTXSl3Xv0UZNb04NC+XzlK1+RMG5vK/EndlOJXzsMCd2hkhBQDdaBdfEc9gQmdisoxLR7NwJVw+CHBhZDE8wU9nxD2bDU0H0AqhdXDd/kJje55z3vWRQ2S5yJDnqOzAtceOGFhgGKUGONZGNPXw/lYGB7cSFfjEYzThKlmzhD+Bh73nJGkSlgxNLtNa+pLtbzuilLEn2qFCMTyeKNwQQE5q77AiwJXZpHJVndgKkm3maGUHeilfi1Y8o0qeNriGP4ukwHaY6yND/6ro6W7o0aAawcLXKMntcd0xPelkavzyUL1978Him5N8SoiXD44YcfdthhVEqNEPwvcy5elT6XjIabMubLkUceac4uBBlZoU19bXfddVfffdy6bweGkY8vOzKUzytf+cqFlDV3Jt5OXp7mMg7XrLfG8MYAoHeCSgKQQrqvEgVz+vjoP8etiln8OQotmGAtYeKlARMvN2WBRYYoflWqc959992tlPDgwFRV5lxoSWM/fa9dEuPbxHAQGrrp6zqHiW7Dg6b2c5/73FNOOQW1bXj4Apbh4d1FA/1lL3sZTnZihnNE85VB9wPB25K2O8Xw2972tspF7/qm6CZ5YmAdwiiZ77fffq4rMPJ33nlnkJoOetCrT4XZebce87FwTMEaMpLMGr8U1OsooDECo4ZA81YHmt7RZaphJkK1XpBoo7GkjXpcGyUxoizwfDENsDCns88++zzhCU+oS5yj2mpiNeU7SPBmrsmNVGbLLbess23crsMlDSJcMQYuuOAC+Ft3+Wb5plv6WsYQbMjqjDPOEPqoRz0K5s3Cpslw/NHi4YUvfCFi3bgyxZjoUZyxbYWjOJ1OGrfHHnuceOKJ4/lk6EwIJOE+E1wZORFIBBKBRCARSAQSgcUjgFu074qjuCV3J5ftLmztMMLFk8P+B+tkn99wOrhUx2ZthOrIdhoW/RbZNrQ2kKjbXvubn/70p6l0Wd/XaZ2Fl9bVmiPElvioQFWyC7WJrZNzW9Pb4dtO1/50eZ7+9KfbANsyqYz1vYrVEcJt0U8TpznpfPTRR9sIhcqPaI6E26iUtK5O9YtHDsRcCep10D10Bt/OX/0/8IEPqGqjAGUvaktpz9PLBqIwTj75ZEeY7Vjq/OVp10oxLS4liyC6RfVFqaFbJwgFU1uMtZ/XRgRrnSG3o752jI0GJRYSknbp1KCm9CAwsQl1ztQh43HHHXfU0dz2zLZ/dAxRFXVMlTdCukpt4my++eaqt6Rkos6tcdPkwsAyZ4x7hcw73vGORnnN/lAf2Zo2QpS6Bw0z0YhMEKbyL/vSmbqpqZg8zSkb+9rf7td4MGG333772n/EPVO3kqjRtkNF6QjD0va4HmCnnXaaPTyUiCLwC4ZZ0CKldBNH92H6ZqWE6PqhKpDaJatwIAWYsere6oZbUbcGnJIEz4iXbLJiq+HFL34xbrrx95ajWKqLG3+PuABJQlBUQg0VxIrXWiN7EEH9xW8w4Q9MbIJBPiQJKJlPmSYRWbdStCw3LpYcvEmMDcqwS76CSpJ0rHEEyLqMOt9ERpCRX6W29EZReJRne78RgvDpphVCsLEtYxZ7h/hSlKyW6TCwkf5enr6bvrx+JUM8oDf/3nvvPes7oeSwQAc0TBBfPe9qv5IzQMxoYnsfFNwovQFLiyIbLtFmctSY6Di/ktwLxKe/ppIjCFerGjhZCxWvkfpNQsMaR0ljelHzmhTQEggaGusYRKkbB0m2F0jYQ6/9F+4mz/ZFo5nu/V+vphQEIguM5kiEsWSAAYeaeTPMzAXS2f3335/QsdRz1vgl4ZCjBu31r399iaZ0Hz6fqrDTUvw5rLLgLLJRp7F1kOlpSdkdBnNU2zrZasE3kUYC9l8phCXjhLs4ZqVRqm6++36lbsC3FLT+5GOdRifdNiHUNUqcORxMIUHDB9fq0a/kYAFvjer4wsilAiVyOmZC4A9mip2RpyBgPu+yyy5TYmacRCARSAQSgUQgEWgQwKX6kjaei3qk+dWstheV8xz50I8LLRi8M7KJWpAtMZV26lSIb/ypXQ1VF5tPda4pb1oqXcIdBWD3iJizxLcOQVzaWlug409xdjypxtiK1IQ7naagax1pjyDgS4hfo7OJRXI7lnZRq4kjt9FG/HJDyFJ36iXcY1cmFdae5g7xgGrbUWgONXz6RFb2+rom3NGItnyoUryqIMpliGCbN4/23oAKpgMXHKfOoRQ+dg4YDXv1cvuZRhUdq6HeoUwXhDuKVtGSg84GCZWJeaf6pDL4O/sTKorNHhsrd9BBB9FbhDNs3c3Flr3+Ug0195eaGGYBbRqla3XoIJMEYCr5h7wETUO7KuKgdzGtNMWojNGmpF5HYdY5ADtheSpRQQotzZm1B+PEt+TaS1bBAV715LjDHe4QW7tu/wrFtquY0aXa7uwFlFTYXhfcnXrqqVh4uzWkP1UykePXO0r/b2D732BAuOtf3fHZz37Wpt2AMfKpoWk+7T9Ul/lCIxKlXnPupQeNBzWkmWjXjUFQHx2qmFm7KWpGh53DiX7cijxljm52UkTRyGJzKjhWs8YrpW6MUYc6MV/MmuI/a7eSjQXhblARcugXuZFn6DUoaRctfv2l7Ur3rhCZ5qahgv9FfxurespcxteUOizpiH4XDcjUACnrGdhUcXVrCNKInZioLvm4E8/MBY6Kmf63v/3tVQAdQLUc1+DMB3JKTdSzJFF5QiMvAS2ysTf+cVtyIDUJOZnXUZkLkcqLwrvRi8J7SSnmpi4wQSRRK31NlbLmSqBhCpuzeEyvUyPBS8C886Iw4MECKMRWrf9YqlccU6aJyPQB8SDq781AEhbKsyqAKyQUMccpDxrP/pac17FjHNLlNNz7X48vJ4flpI3JRdfYHAABAABJREFUiJWj3Rz5mGXkRvEyjxMnvhdLFuFb7CMlrVlswBjJPitLppovggFs4gDNKxqXZy5jb+slxHzZLjaVtyJswWgW+94huFcOEDWvMcGlejMosf6UdFuH6/fhs/AwqX3vfN99F3rFKt20s/p4pUPDS8O5IitAr9Ni3mTWrOaOb3B6RXt5ek8a0l65NAb0zlCGVLkNaQPbssfy1YtOtXXlouIP5VP8C2jmFNCs/fwtob0OVXV+y6jzTYk2+lKMv7tmbabK+DRI5QtozJiAvTVpPH06DQCrCysWY8xiA5jjFWtymPXRwDa8dbqxra+NbRWeNZN1E39FoV43KK2hhtgRmWnr++el4PXqW06NzoJ7fTc2W5cIJAKJQCKwmgg0BNZiP/AyX822jJdlV4ON8kMkoa4wvE18Sp22ECJQZq+DkPI8fYiLpz0SIwY8kXF2icU/HLSQLKbp0YiAjSqhmE0+yET8F60cO70SFA4UlQjSum+tBKHReTroXXxsuvjIpPhwYNx4qj+2tPbnVkM0GQpAw8Wh3lUi0AHkAw0JERzFPxxqiOIUAfvZ1JYMgD8ivkky/kj9XyqquIqjo93kKS1rHmg7cTBrTVbK4k+H17mEJkg+VJOEEqjYQTWh0Wp0YePvEV0rlT4KXqaOYMVFsUsoqrf4z9eDkiM9ZeXXLajbv+ITgYhMK6oUXRw2ruhgoQ5kFE+O7iitQxs3mlUOtMNIhgzXJtQjGhcL3y0lepBchHzCiDIMcEx18vm6SUF+tFZ7B7D8HUEwL/xQb3VxCGUJkdS156zdihGQCU006tvdbYXxplwRgEYiRTZWl8Vdph5KqwkaesR3yxCA9egqkUk7hOrQejDHCDeYvcdKzOIgcpCkmTXERTwNsBKtOGieRhFeZcVTVxI58Kd5hy8r/uHwVoQDgwYo7xJExCU+4r4bn/CAuEho79QrOdSOkWkS0i+5QaAZcnKwOTIghepEgqI6z/XqXuyXus4N4b4BQYvJSFF9A9Yhi04EEoFEIBFYOQTqL87C3YMyq4WXlBmuDwToWNk22NU//OEP32uvvSydbf/sRZ3Qsb1cg22k3WMpPL1i2uJw7vT4KxHTPsGh6ZXIuTdP+0m7gt6gZXrSDaQ6F1pgy8xqbSanwGgTSInMXEAY0cJbbD2b0TjrYF5sZabktmZ73BfaO8ohR9p5TtlPaUtvHFqNhjRZY29oeiYCcyNA0wRPRK+8yYE2Oj1fntSom6Dm0fFeFA+FaBZmu5oaDkGjsFnfblLFI2UcakHUV7uqTL7ytFDNIPqhvWmHPFHq+Guh1gx40iaaGjpKr3WY+iYoHulNI51xHE2oGtI4lhzJiIFtQud+xNxRJkLldxGgCueoNSVZWqvMfZYiKPVT/1cTEg7G9It/OOQjNwskXCRjKU3o0KNednqdkjipQ/dMNI28yMrnBg9YZ7ISPVjnz6YHkhcI1ie1f7gpcIWQLGyhdiNM98FTU3U3XLtJKGmi4/lTGQ57/XUc49NY0lNqSM+6BC2zm8iKrJG6A1j+tKpJsEwNoqNSXK9j7m41wjG2JkKTrfFmHc6TNiLtbzp0TQS0Mq1zjLMITVDvIzWaGFreHo31gIhvnYNtN+riyAtPEzxWd07VxAmJJudQVKeypxoRROMvrF11WyQCAyyoc0XYaJSs2MbR13SB0fdd5TvvRnrl6Gz9XpKgR7nJh7rx6QzGjqA2tVESzuoghNAcBynIeOohF/mYxd4M3qs6kdWpWTPP+IlAIpAIJAKJQCKwDhBIwn0ddOIqNYEOlF2QDaTlu1OTttDMINr30oyjM4LDsuqN43WrVKFpxVDKU71pcf93LMeiJZkefzkxacega7vGDSgtrubZSZpBK1Scc1vAb+zhLgexNZXWcWZj3m7cdstJOnqgTtkPkUfz1bwZjbMO5vkKXU6qbo+jaQxyRg+Wk+3y0zo/7h1lNNKT0llzZ+hUqUw0c74cHP+fTr3NV0Sm2kgRoCA8dBI2LBR7G4w0jX5lUEj4sqFovuC9vFjEZ5KiyzVHUFRgVnab5jUrllhjgsPeKikOV9gbxBNZFoRdN4Ij/CyN8J+1St2sah+quF1BRURw/D9awYZmScL4CTfLG46lF8/GQYahITjHxvx0E608Rv6+LEODAZHKTov1WE39R/KF92CpFYc3ub+uExh6fwbn2+XB60ymuOWv+UMxNZ/+OwKX6dgmDmES1YGgoeugZXaTM/JkTnWGtdsQJYQgihiXwi6nW4eO+8QUYA+hVzihkmz++DtxWU6W7B3i+zg0W2VlheMvsZO/fjQMJFEBkqrwaf7GkNBZBIERhBkPB36/iRyPtPXJCZwpiUfCKpIwbjKPIcsPhj2RGCs6bAtEqihF2nhs/tq/hCii8Z/1kWDAyQOpyBtqM0p1PvzVnI8BYMFfB6U7EUgEEoFEIBFIBDYFBJJw3xR6eQFttJC1k0G1o9ft6mltWOPS9LQ0dwjduVrmWe0n6fmWJe8CSl1EFva6fovIafF52Ic4L192L4svIHNcMQRsYim1Ufy0G6SKiEhlr1OHOh6xckc91vJgDqTRVUi0mrRyNtwgXywvNkevsifr8hm6k1Rua/PHc2S1nCR0MNfxgY/lIJNp73nPew6BYOgKKqRVbzRfZ+8fRBIl6N4IPLE/Q6Ugs8KUfG/aqEBhwXrjdD3j08bIDDPQ3dDwUWhXjzuC6LR29f1LPvNVqSTvOiioYnK7/sUndO2xukHnodtIFISWazlLzNrhqltK7nx6b5WsY3LLGTXPYUHVBNWPcUsnK+G150r0YJ0/Vtfrq9YjrkO5Q1MBLI3/rI+GBKPtI6miI5rmi2+YdY8zLr+bWC4aEkQplGp/XArarU9pwnK6VdFMppSsakdcJ4AiH4KLJED8IWq7zoqbDr6/VvUjC2Yj2WWMDOhHWnIvQ4LOQf3Fj6D4W5RXyqhglzbM+zqi0btSMpt8pssRT6cTKMUzZEzNv865dmum1xp1+3K6IiQNjkH0answ16sIF0vWmczhdsCReMk7yituJDl7OFpNVL9YbYyREjMoEUgEEoFEIBFIBNYOAkm4r52+WLs1sZBFI9KDxrkzhdm9LcQ2/sUvfjElIHd9uNxpTbWEBkpsJNZUrbIyGzsCDKSit8yIMh1cLEMchYin7LZCrVv7g9m5e8TfkEbeCsGyZLa0QSni4e/W2oVRS9Y8I2w6CLiQbaixoVPshTMUgX+8dnBJI3EE0VDujeCYzojy+5QKdLOdUiVU3VCdRwBR1nxV6lay+CDphnjDiKM+3vZ6gfEfPv5SobX4GZFwREJWMjhQh/E48lee8qdSjcociRYlNirzK9GDdR28PDW2e/eX9aGvnit58Zt1/Lndbu4aTxv61E3zJfGGV8Mm7fK7aUh9uxSkXO5ufUqE5XSrIdfFvOTMMXI9XR1tSXfQwYzGjMQ0Boy9Yj0JNQ9w2uXdJPhllpEcbmuCTLEnPelJPD/0oQ/h1h1TELOJUz8GqszK155ddzMjLMxU1ZEgp09c2erMaDfJ8n1iRhOHjAgUlUISFpK8JNyXj3nmkAgkAolAIpAIbHQIXGmjq3FWePURsCZGotk0jpxVV6sDDjgAC0nNxxIZ+bj69cwSE4FVQyC0xhoFzFDVDP3HVatJFrQkAnG0PNn2JYHKCBsQgXFabcmKhS4n1nU8ZmjFduMss/RuhnzWYJV66xmeRXQ6Eoe6OumdnzhhO4Xu7ThNL6Y4Jf5I5oIiZ3/HZZZhm6Ix3rISPdhbW/Q6VWLLPMa1mAyiZoFzF3PIBk5vJiOeS3aEXpDcd9ZNrbVyd6+UYvnd1JttXf+oT/Rd7V/cy+nWECyVrLqOcba3G7/XB5KxpHForzfCuKfDN4aESxfCCJ7rBEKlvXdI4Nk1ylEJ44emjh8lfUaZ/BxuiMlSigvomKQbnxHxqikzgszG5b3M/Ttax5qcnxdjFIH75ij5L8cRxU1BLOK4vXY5xWXaDYgA0/+MAdZvmw1YmSw6EUgEEoFEYONCIAn3jau/NkBtbaXYylCw+83Gi7fut5K2jHbItCHc2Zk599xz7dCcSXdw23rXGcxGMQcpRhWdzUfqQtz0X9jEpPwS8Z3q7eouWeWzZmOVb1GOTXOhlrueLIzqetKysZG4733vW3tyO7itOLeuUT+52c1u5gS3v02c+tGKnziBzUpKPbYHLstq9NqYzrjooovucpe7BKNhoe/sucxZ5q3zCbd7ln7wgx/Ettl+9SMf+Qh/CnSN+qHLuBxadxRd5rbTTHbSoW42JCXzJWtYYo447JeYvHCawWlfBbGnOXSSF+bA16f6SDPtOW2WmE8dOXwd5WqUvZl+cdzYnlm3QlK7Ytda6gZtdaAxPR0EMWULB/s949ZYcn8gk6+9hAiLtB/72MeoPukFRYs2FLNUqXaEFp7eCXMBEXTBBReAwjisY05xTxyNZTCjPGhXGYdDyoAxwAjJanMNS46Qb3zjGwAxtqMTdROUKH6GhqaGmJJmjTi20+Yv/8ZehJlu2LsI0WxSWzM0bkiTTwxys9vIQdMYLde+9rV7wQGjhOPHtCPhki+WaFHo0JnsUYeoXm/RxVMSrywgq4m9unndtLTE5FhySAcsYsrNqI5qxEH4ko+5wCgz9EQ2erFONCvZjgizACVaOhKBXgQMQv7eP72hxXMh9FzJbdyxBqs0UuERBf+SKkjtoCbj7xSaO2iaiF+y6nVEHOufJW1w6cdipqM3q5XwpKL7qle9qqjq+wQwYeSj721vyac+xRLIckpfsiMKBw2umgLrFakuv5uW7OKIgLMeavUa71bVjhpyFGyH2tL4+1q56plVmTh/42tlBe7LZXFivUpf3hqsSeLRTafWlla2EvrkWQz7MT0nCCHudijJI1VUzOfYGbXwGfprRtS6DlYartWxlvBV9dfXn8NPcvQ39aB65TaU57j/9KFVvzfG88zQtYmAd51N6NqsW9YqEUgEEoFEYI0jsMTebI3XPqs3hIDF61lnnYXksnOzF0JDu2VrKPK4P74M/WoRbGc1HlOoK5XYUmxOmJ5++unHHXecpbCFuFWL3JDp7Cda8j760Y8ueVpPP//5z0e82kHtt99+WDnxZfXVr35V/BNPPJGWCqasxMeWUo1h3tHSPLK1dn/LW97iEra99967RGNuHjtZE+5IfwUhHy2Cw9Sj5fhJJ53kFKpyS8LioJZy4IEHohpVxllau0oSBQWRLjAGXfhlu1DZaqktx2GHHaZ6coBbL+FuaxG3LYmjmyTkcPq1JtzV0520F154YeCmT+UJB6d0bVdK9Tgm1rBO0nXbLx1zzDFnnnkmihakHh1WcNsYA5Rwbvac6s+4kNGF1GZLV+fC0K1QTte+7nWvG6EI9bJGOTAhDkIf246yR9yzge5Oy/rur6OPPlq2AJwIgl7WHUaLbkJ5o9HxxeyNEhiwFlorzWkaQ96MeiOncP22964l0HCVF7NmqLsoFR87STPCLDMM4oS13R2bnrvssktXMlRSdR0zjcZ6MLPyhG0vo6jJGZjkGR//+MfDf+II0Rw4sEhLsARMI1NyHApiXT2VSMCgdV4pqDQzwjVrJo4ej7vRRIaAwWy+iKO2xboOhP1EoCVE/vHCF77QPHWFY1Sv/ou2cAWZXluScJ/yYokWRf429n7cUb260MaNaqcc591iZ05HD83klM/rX/96LWpiepwypAOWkjbmOwFbMahtFqgVQZGBal54q0gCXlYavPficrySPB2JQBcBkmmeoenZDS0+IXwqjyvqWINVGmnvlJuQI06scOKvF+NInhEUcepv0FCSoI9pJJx66qlDcTaUv5enS2Wtf7yOXN7jo9DIyMP6/PKrt2RHFGo7umC8xOV305L1qUdFb2XWcrdGhQuSvnrTFzBeJozmWy1YNRkSVBashXr1G7qwKBGDGSSmtYqPLAk9QjxM0llIhxmZgE4pvYvzbra1jwWe257jwmcbCqo51oRWm/Yg1hgWliPXw9b5DLmXP7SGck7/RCARSAQSgUQgEVg3CCThvm668v80hPok7hILFsplfPFi7nW0FEabTiQTa1CCorK5qj2H3GhZ7HAdiiB+wxvewEgrBrBo/mKXmHp32ypGdbfddqvj0xl5+tOfbonsb9QWPXryySdjuzCA6LMguNnERFphpk455ZQ6W0Qe+k8d4hqrOudw2y7uu+++aFn3uzIlGTyyInD6boIKgqBOpT6iOfr61Kc+VZJQoUKxBTcNZCxkHZ9qqo2BzQOVeao9DRolJqpxp512Qlj7S3n2kEMOEVT2PBENa481drlTEXVQ+nbOABWIGtb2iDZrDUsdGgdeDyUKBERngGxba9uDR7YHg3/ZR9kRIf01DXlajjJoC4ocL4mUbDCpC1J/yUFKvFF0qXQH+lWeFKPiKrySZCIIzvbqHXsqUhyQRjfZBqs/zv1Zz3qWIVREIyYCgQFBgiEUJIhRIZq7TxEKaNwpSqAOOhjDWqFFBiHJhElHPDBudqm0KxyzjsaSHMFtSrqT8Pvf/353jNFAJyd75CMfGQjPOkIcpzA+1U3rqImFUMqow7brpj333DPg1eNQNcFhjvcv8JZKGgkGMBZGWlmRJwly/sM22FAxl/fZZ58yqEoqQgI5j98ZKPLEF4sO9YahheeSZyp1+++/v7Tjr0Fyu+c973nmlzFfzp4T53hfkT105WdThjR1fi9hRcOKqh3RFHcZZt4nXne6CSxFzOBNIomx6r1HONQFSg75SwQKAmG1IIRkxbPr8PHteq6QjypZfqhSGdW9BTmG0uu/yp5ouPESfe7jEsiw2xN0s1TWD95pI2mdGxPaa16jSUV1gA8Gs/FfC48UmX0UvACtsrpvezWEw0LquWRH+MApCC+8pC68aMvvJp1erJb3NjDqE6OiN8Ja7taoMCR9FhHoxurQocaIKYKJYNVhCWQBYKzSgyEY7qXpJw4JX1s/d+FayBE8Wz9bXPn8+eotCjorPSrtftYA9CooFljv2Sa4L6G3y6Z4xtCyO1gy8vQ3wJJZZYREIBFIBBKBRCAR2LgQuMLGVd2s7ZIIIIncEVTY9hIfWUanw36p+Ex0xOanMZ8yMS0iFftvr4IdK7S4tFhaBhatsC15m6PTlMcp4yOgCylmK4ssswew7cHVRtFu6CJaQOw22cpQhDPOOCOidf8iRtVqjz32sOwuWtuKoDPurDToGohsJKynEcR+wTPKk+VuXDMS4V3vehczMnUpmFwcqFIwZfS1h3DTOmREXAqHFeX2qzXgqCTLB3qFbVcKfVjsoT2M5pdCZ61hSVg7cOsYZ/Q0ExZlL023CJmIJ0XsBl0YSfDLHMjBwrZ71Ar8tT0n1r47/CIhpV0aRphu0ovCtgui108KAvnzzjsvYsbf6SBAOy7s1bOlmyjRIysdbnD4II4Sy9ZE0EeYcfUvgKM+JdRYGtnTVQuxseaUkweOZWDbqbqbfXW76rb0umcdjXUmwV8TFNWe4Q7Pcgxi1hFiGCD0EeKEB0z6cBNd6BoaZ4j4Aq+W6kenZxBqIZZramI7alSHhSVT5vIxflODSg74dLxzr0akyus45HiTW/04/cUSEy0U8GUbdeilBiJ/LTWWxARaYdsFyYH8wGQ0TeqaTBzSXjVRdKAX7iJbAjWmw1iqeUnTkMjEZPH+WZJFrauU7k0TgaDJTA3ipSEESLiZhBoKXbh/VKm8e3vzV2Gvgt6gVfY00cbV/01D7wfvvVh1eBt4rZEOlmXJUIV9dASNX0cZaS2WfIz0IAnfUG78gYaXZL5vJM5ig5ycIBdBgHpNlRVCU4QDOo3PfI9L4hmfm/r9PFLQ8rtp+fVZs91a4xazNcZq7V+70euOpRK6hyeddA5y6KFPandIvPe97z3qqKN6P/2yslog1zHMrPaDyI5FJrldlDj01wLVjHAmTASZK0JBvZF9gi0LjQo7iPHG9iavPSm+eFQ3Kim1f+O2uo4RO+UN0KTNx0QgEUgEEoFEIBHY2BFIwn1j78H/Vn9qFEyd/Dev6gHtGJqVld/Szjii3lwOuXSyy2OEoj19qDgWWqeSoVUv7piOTO2Pq+09Okr5RbSwB81BJ9Tfrg1ohizo8tsD13kWtxU2vowaO3q3eBZHmCAXp/jQOaVbSjBAFbd4Fgd+1t6YAnjx4WD1hbmSIcvadcxxN/3WhpWO+KH5W3CYo4a95SK7MafUmbuhNti0n1DDJchAohbUNXMBDRtLew+Gqkvk2iGhR0pGtWe4Y1vVMC8TQcCD0P3feuutY5A0mTuMzIe10PDXEHwBI6E2dU1MqvG0uc2RiWpZjlmEhEAvsHtO3lDI6Cbn3sdZR2OTCeUsI7mXcGci3KCN/fMcI8R+leCqnlxMIuiL2qdUhrDBpOvuq0uEXseOO+7I33mIJhTTRCQDzHG5xRwvlqagoUd4euOZ76G8VkcjliPhayxIzDqk6wyLeyGZlNzSsWkiYMo7IeStQrw9hIC339DLeSjJcvyJi0xkkuO4tKA3K+K9Xv/V94wzJSPlxvuKyXK6vaL5gnhTcTgUNZIKTx304tCpuzqtb2hY/yOEq/0bN/1cn54hwXYTeSGPseIiOByiVpVSLJgts0QfVhKFoUx0U4BDGDwUp/Zffjf5KPiM1nnWbt8s9gn59C5sIuaa7da6IWHQzyAvFnvq0HDHOoroPaZAjIqRoxvdIeFtYPR2/UtZOPfIMN5UxCqGHPmThUGJ0zgMCboyZkQsUUjFFDFkbU9aK8CwTrnMl6HlLuLedsM51KZK9SPqH6SWSbV6UB0h3YlAIpAIJAKJQCKwjhFIwn1ddW6XwGqahz5ufJZ8tJYVJ5bXS0auI7AmYR+CwcQC1P7FzW4M3pZKexQR/ozP9J7MDR3VWN+LGWYu0IJd1RImZYY2wLTp6UFTnh2i8xpDFlRXrN3F7yVSbQxorDB0Xu97bUWYiCltnNthl1jsO9eZhFZswWGOGta51e6m7SWIaERNaBuVc+706+1nSoTigEMQr80pgRIBzaq7a0PtJSio9ibhRBDYAJGP+wNKbrXDhs2wJ73gadtMW81eq1zJVcfkVjeHmm34G//uI15+1113VW2WRggqWP3u5b67CYvPrKOxJAyHMUlGYiNqDNRBqAqnUkpvzjFCIFnOl0TOpqStLKmG7qvL4ibfQn+U4prQoUf4O2Rgh9zw13E8oujm9yaf78XSm1XXM1T2SBG6QXxUuxFKzTqke7N1XAawXYpf5N550ZtJeiYCcWUl9qeXrvU5dm7DF3bVgMKUhck4F3702o1xJMjlH/VJqWXWLZSvm+/IxDy9UdF25TPXpHL4KXRm3dJRgtiAxqXSk2UYunjWDkcKnJjh47RKw0sOVdVJKfGJRoYsq/g8eU/6OIbYsi5uVnfUQaolEQsqE28Y5lO6BUEgXp7doFl9dATTdkNV8jWnWWJZEua/p2S+zG6yyBwRC7FPQkJP3o97HanManbrSDVGgpwFdPSKXT465r3RfKxDoad8oGOd0Du15WCodBWAACXIeqn59JcSnWv08xjGXmh7xGE+tfLpL9Fqh4npGnZr4zDXbmlhVhokzdKoJLFSjdtloojiP+QYmibmIFt5UnmvDs1WqvqMaorjjOxQ/umfCCQCiUAikAgkAusYgSTc11XnLml5wAp4RFWnF4swa14Y3t44vZ7Wu7ZMceiyNwJP9LTNjCVpiRDEenksDkYeuIv6ue2rXboNHqaPRjm6asnL4iQPIrW+ebXkH476zlI+sSi//vWvjxvt/dmFqn+t3rsQtl3RdjLF4k1dSXtRe4mCwxw1rHOr3SOwBCFSaGg0SjmyYNeE4aXXz86MHQX1pTrPxq3y0oa5W1IWo5G4gpSIQXy0dRPZ40QQYr83MtIoFsW4IjYAHdq0tzd5hk3Y0tJulcJHYzEC+trmH+vNGJFB4pYCt3JFBC1y7HpcU37W0ditTK9VGVyMmEXZf44R0h3D5G3Pec5zdBlDTKzKONXhVVPLybp1W9IHW2T/3EgpPNrzh27+UA7zvViGcmv8dYpRpzcb//LYvCJmHdIln9pR643CRJdRJHQWx9mgJWWodT7p3sQRQGYFAeRd5DSGkxMIX2887z3vKJMXJxgnflYNKDIAX3mfCRVDrzPA5a1okOPCnJ1iWQ4ROT7fZ6qq74v45QTYTGlpTJvOKtzllAHIvpaaW3jUtfWygqpSGMGLa9LrEq2aXB+iMmyXRbQ6NKraJStp0NOVpjZLSAyuOgk3H1mpCcsedGab0FkfMYnxKe9Wo8kKwR2iGl/qRgMafek76NBYWBqxEpt1kdmUBWSmupwg7HKyzBP5toovtCxCmuTdx+V0kyGhXdSlHRwp664owiM7Y7hjywbXfnTLrX1Ws1vrcqe7feV1ruWZj47XRSPw0K2mAHV+X8Bi+izYc5YPu3QzIypMQRozoRxTFsnunqEYznYTCzBdBXNTBpKGt5yLgEo+vsg+zW5A6Q4J+hYxJLxPQjHIZUiGkIbLymqhQUDmbDHJzep95FBCnWpkmlhoeW8Y8G6LiRVdnVDp3ifmi+OzFop1ULoTgUQgEUgEEoFEYBNB4EqbSDs3kWY2G6HeVlsa9jK5vZF5FqYylEeGooW/NTpVIAtZu+tgwMOC81CqUGav2fyJqvSagPS0C6LKh5nyU4RtFX1bG9HuNZJRgVjfh1ZOb5UKHRyhsbhn7Ls3cvHU0iInCEWwEjS3YyIOc9Swt0rkGcE194YGYnU30ROn5045MfZRNiR0heiSO83gwqveTMJThakjEZC4uy8s/9gdIcRdxXbaaac1CSeCoGJ2iVOQjwHwwct/TVn1Ywzd2qd2o4qOPfZYO0mbbbtxQe71ctjCmEevuD/A5lDr7LVCtFCnrd2zjsY6bbjdEMB4kQ0/NpwYhicS3KODF8U++BwjpBdJ20VGhGhykXKFTVt8h+52JkDQeEu7NedDn05B9vYs+UQEiOGaXR/aG794zvdiKcnHHTql94RNSdV9e8w0pEs+jYPQkWIybEMmJFQ1UBXgbWQSTcJ8TARqBJBiXkeobYK3kL1Rw4wzWESSmKawJsyzTrVybu8llSGeZGQZve5Xl2XuY07pCPNcSJVC7Io+doe2dyNm3zs5qO263F63FxpNfABaQrjLhGkXk93svvDCC81BWSEB2cFr0lLhxx4ycqUhRJWs6Hj3WmWhjH0iBXmk4oqwbhKqqu+gNYxTLD4ZSi/G9CjFu56aJJs0wmkbHCW9B+89NWGcR03o8GpXk+F8j6rh6AO6PE7++a4V/eUmQyViFdXh4Q9/uI7z1fa58dKm2+6txboOSYAh5xChCFZibkFvcpj4aCERY1g+Pi4YXusT2WLbVVUmGNhZ6cu5u0lxZMxWNTpRS3VH3BdKKmMdgWO1BjCALT6XbN1qduuSlemNAGqK5EayAxaEvthkvWxiGsxkKhZaBrMIZaqS3hmQWHin4swaHWdlbjw7DOfiH0CZ+BRifNaNZzavLNQt6tD6jLYxEWOkOabg0Fj0r1JAalkoZj14zF9rLfInvU/JQCqj1HrV4lMl41yFmoR9p2iXqUTcSNa18847Ew+YQUaU+tMIYefdWHLIlZ330OPphaLxHJkmXhokAdrryKOycOveG2YrH4sx/D6feMU1eeZjIpAIJAKJQCKQCGwKCCThvq56GemJ6RtpkvVlL5s2kiR2sCg2t0qORIsg6ldo02222Qb5GAxgoxPU5BBKNCNUbxO/fpS/Rbafw6Q4UDsiy3HbVxeZWqwXDd86SdCCjeZOHQExUVc4TpJSnBli8CNt3H0a7rIVqbNdOfccNeytTN3qbgR7Bp6FVKVPBGdjCSuBYkAL2m1Gd9Na6iYvPnY7tsrOC9ti2cT6azsXN5fSLu8S7iXhuEPF1F/fLQl+MPj2ePXerJs5FfiuZ/FRT2VRngq2PfyRO7bTdqpYCaQSAoIaV0nS65h1NPZmYv9pT2vPGbpaNrFM4tTalHOMkCEYdbR9o/0wJsh0Y5gY+eKMAgkKO04TWa3SCug5nmJjb1cMPf74KUX3ztySimNFXyw6JUZ7XWLtbkIXMqTpxtJHxl7RlcNcOGtCEzn0NzEUSbjX+Kd7SQRwi2hBg8pXG7UkPgILE4QDNb9C+3gmofuSJY5H8H0/7LDDrB+YkPLqwEEb2z6ptFBD+3WBVcIYUil18bUXlJ+Kua9l+qsJNSYt6enlMtkPlnapsC+XxUa8fIp/OMgIfcuk8kr0K6FeJt5m1g/IvuJZHDhrJ6Lo5/rxpK5eCHf0On1qJD7xLX7Qr6Ty2aVw7TBZb01KtOkOwlqfDCeWohQHj4YIdyz/8ccfz/4V6SBHKYLIHOaq5FvjUA5ClqEzeZYIczigbVFBvguBOjnC1xe2aFjXQUu65+sm2Zos2HY/a8u64YKc3vDRJ/lesnQRVrNbp9SnN46FhNWdD70vO1FZiaNzvVWMllrkbPHGaIyVj4WHVCWyhRZRsTUSORMhDQreV76cZLU0EpkiC1tMHH4lIaiZbJIkTtYWfwgbCeSFjL9TtSn+HIaEnm0EMMak6UP7h0T/csnjh0sSDfGdtUYaX+aV+OEYmSbqTAPDl1qJTVmqwZzR3nvvvajZ2tQqHxOBRCARSAQSgURg7SOQhPva76MZakhptHuuuU5voRkEXO057raTtKq2MrZ1H9f9lA/FFn/jzHVELovs3lIitBwd7Y2zpCe+2y94OntXbPsRRxyhDjybtLHvHTLSKrKgUAaMhMEFy8dx4CarNfK4qBpiUankDAljArE4rEBB0gYJJ2gz1o0/TtxTKcK2v+hFL6K51gA4nrCJ3DwaaXqN3AWv1ATFo/0/h1MIARf+ZTkdSqZlH4XZacrCAuAdcASkTRSlcTdNhOZx1tHYJI9H+0ynv3GyQbjb79n+eQ+UyIsaISVDqmGkLH6U1Nh7Rfd75yCbGFUocSY6kDsId1ti983qQZWniUbZczz5ir5YdIqBZDQOna4oR+Ojkssf0o4lMQACVfaju8TNcubFOIwZukYQwEdfdNFF45VBT3fjILmGUpn1+Fy/boSg4GuFa2fXupk3CcmB/GpPLJJf7WOpMJIPGZJfHb+4u1VCh/mVCL0OmrN+3SBsnVeTdz5zOqR6NT/Yjdz18WnzDqe/TN/20ksv9Tr1WXFmqBavdlP5oPjRd5bKW9Hbw7IBQ939RJa0ckZruiTG55WwrVG2FYpGJJbG4HsjsVwXUgoLG0Elk3DM14ORFtGPK/RdJgjhE98Ljm7/8qT176QCSQb+VJV8SX1VeRadCZ+h+BJF5v6OjNISp9dBnO+nLEJN1YMk8YzPbq88WKf79eZTe87aTWU8I0wdfSAGiO6wXrIcwrYPGQGvqeq6AjN1q49sqUCdSXFT3/Yrj12Hgwt+Xf9xH2oQ6k9vXWPNTZ9mS3SV6V2oQ8B8oWqjqrpJAyNymXcGWFeXwuxAUitC//qkOrRh/HvLOTPXHd5RW8Q6jt7kIkc0MXWBIUFUz+Bh76bGfCELIW9ThOlsovnIqq0iegVg45gMTZNIZXgQKBIVUP0xXKnSawUYjZDx98Z4oRm6dhCgEmRraeRQLlk7tcqaJAKJQCKQCGwUCCThvlF009RKovyogRRD0k0yLGFcHdn4jz9aSlrTW39T7UGVjkS2v6UBJEKoD1uhWnM7VkknNJR5m7T02izorUrL0ryJMPTolDeey/HV+vqyiLzttttqIxVs6jkNQSCCg6j+KrRhCkpBbKQUN0eYNUcx1wxmHcFBV6fXMZ4W97X/qrkXWEPaykOKY4LsckMNOQ7wOiDcSyUEtd3bfHsqyNswd9l28UcS9uZWe+IgnGsmE+qOB9HwAlT2xEFo0mmy6QqjCnUOxY3zZaTIEBK/eDYOu7uhPSHC3bqcIifCZUhPsOQ262gsCWsHysPgdNbeftJU5dCJdfUWMkKQLKYGVc1my42dcTzcBvj888+fg3D3isBJkRY4ke0AuF30kiybtq/ci0XmOkUPYs2whzXO4UY9mAvFfyFDGh2g71jA6LLtClrOvCj1TMcmggD1T19bd1w37G3dfBPNY6iW1/4r4SZ39L3AxvouD+VPpGS6LbZK3oTeEkMlTvGXfI4cqO76Tcm/xNFTlkDlsXH4WjmX0HiuxCMiyW9KzlYCPo4j38cpmUyPgx71mx5/Ssw5uimy9WHtvcp+SqF1nFXr1rrQWd2+9Y3a+EgOVlZ+IxF6gxQxtObsjc/TkmOmJHY9xFF+QxnO5D8+TWxziCX8ZsozI28UCFCMsNdbUudsSlscJ7LI9H3pau1MSZ5xEoFEIBFIBDY6BK6w0dU4KzyCACoQ+cvUcjeOfZ2gIX2cbvzax6FIx3uRbujI2r9xy5+ulmOnZafKZASdl/pAdJ3kne98JzLUydPac4rbGprxU2pZvZFDsT1MVzcRbnCDGyDUUIeUUJogj3b+boOs/a2HLLAQgupZ+4eb7g/9XGTZhmLbVWOBNWzaXtqLDcHR2LGAnWcc/+9tMq03xjpLwsZBHoOv7E0o5tAgaTLpfSTgwekQNVF66kbABevZ2HHZEdFxU0mKSN2YfBwKFjSkiRlJcFW6nu3abg7IiNh2FhapG6f4zDoaS8LGwaoMbLH8JkVIF+oICxkhNLbMffKSOudw47bopPdOkG7krg8ld2lVng0HA4wd4W6crs8KvVgUxASzv0PvFoRmreG+kCEdg7Z3Xphr4yeWusikz6aMgNsLHRYhdRsCgaGPOIXmKMlQnAX6ew2qD3HaiNzIW4tutbkfAsgFlp5ZJQKJQCKQCCQCawoBizrnTs4555w1VausTCKQCCQCicDKIZCE+8phu2FydtDV+U1HX4sonjYNEhyF5Fj0fHWi18NwBMreKgGtaRfd5MMqOqXyM888E4f47Gc/u4SyeUohheFFIv3iGQ5axtgBp0QZnG2ClnxEa+LFfvSjH7nHqYmM0iUY4DmkFeXcsePbzgZ2yVlHXIkHaosW9JTj9ldGKptWUySUCU9tbOow/RFZKXJcnjk9VR1zUTUkiXEcnjnOOnNuZKhjDQBnoTWCQpqCHm1iOh3sQrmQ6CAim1CPdLENBtx918oQs7lKF6c3YTerxscJCd3ETihTQjq3DiUBYlIWm1PU6sUEmkY5m1zH5DYg0egsCzf2Q5tokZUhEbKHOpQABmWPOVIlw4MEog7tumcajd3k4WNeg51YCCfO4RRzHXMhI4QSPWEe2/RdORatH7O7Vx88qjE+yE1kRyW8OnDZITipKz/kXqEXi+IIZhydgaT6NKUbt16DNS04x5CGhjcP1fiSeUwoxdWeQj1638aB9PnmRSkiHZsIAkxwaKnjaGGkpWm1zzRb6v46q7Q6Gspeg+yNqIYTab1XpzjUEmZhSA0tVJoK52MikAgkAolAIpAIJAKJQCKQCCQCGy8CSbhvvH03WHP8OMOF5557Lr3Rj370ozTajjzyyND7HkyzVADDFCxyOFCJvnz0ox+NmpStC9Boi2MYcZTseiuC2Zn6YDKCFRGPA2UwIW6SpCrrMJ27jFCNlDrlVpu/WKoW/y+c0Q+ZM2fhki7cPcU9OnQ0+9g89ZeAgamK/xe7cjmgrTJqzuSimBIi2dmfcV+ZJiBJm8P4zOnQuqWSIGdGS7C0CmIpXias5SgoVGKrEmZwYt+IHJgAOvnkkyliq9UMif9v1IXUEDPiVijWCVm9ZDRDMxHohhBxiP5ivRQLGQVqMuTf8573YJwxrToUSY2pf+xjH+t+3RCfhF3v/1vB//dfKLaR3RXDUv5YIaOIpVoXxDHOg+YGArZojvvW9I5uQjqz3itPOcic1rz75dTQjZTqHPVANrl1jU1P5zZEwMiLzCiKhjNFyoqo+vy/Gve5mEdgLobkgAUbJZaGGJMOeQDK7WocRDJssBhdfXn8H79ZR2NvVsQhZABM5dIVdZOBxyba8kcIHp+ggp1WveyKVFfCUkrV++Y72Z7jBZRYm0LLYxDKDPWQhJk45CIliMMUoK4eZlWKUKSO0OteuRcL9LxVSCtd+EZSSA5k/MRd0Eav4wuGTV2lWYd0oOHiQVAYqLJynGLrrbd26sL4cYYAsN4wRqbRRabo1S0OGWpzU1xdh3QnAoGAj5rzN95pBg8pplcTCbQgosFPfepTvllh4GXcNNxiwTSPyDt9Ok0chr/MpsjfJ4a8nCfO3fk5g3+x5WZuiUAikAgkAolAIpAIJAKJQCKQCGxYBK60YYvP0lcUgUIyLqQUTCXWDDXsL2qyzhNJTecU10nls/bnpm9r54+BRaT6lVBXSqJBh265LNGGHPTQkbzYKIynX4nmLjjU+bjWOTvRykX618r4JAokBxR1Mb8lNw4EHBU8wgatkHMJIi2g9I1tLD7zOZC/mGvK9ZLT8pvDqN+iaohE1n2ucSvK7KrkwAT+sTblKQ5+XN+569IvWk0PF9dDzINPQaYTReiIrqlNpC3CHXWIhSlwsYAEW3ZsMd0IXANMcXFBa4mzpIMetwu18JJGBfFAie/IBdrUXcHFhwNJilHFidP3LP40uOmHot3RQ8VzyIGxwpMaMOQ9JQ6hhRGC4me4hgKpIJdhYqKJmkYuzpppNJayGoe+w/Kj+JHXTZDHhYwQvaNPTQTHCOoi6NcDrdeMVURzq575ePrppwfNh2uOYxAlk7g6FRM9oiZfIhfHCr1Y5O/lEK8sw8kvSiQXdCcEEMiESh04Zh3S4rtczmliPxLKsAjsDQMc8r/6fUKuw5MUSp8S+DHAhTCti053ItAgQEncDPXG9hJ2j7GfdxHPYvGJfNdg670toMlqUY9EmF74LnhwFIZ5GdmqjzdSOR5ENK5KvSaVFlWHzCcRSAQSgUQgEUgEEoFEIBFIBBKB1Ueg1YVc/RqsvxIpSvde3rhuWkppjj7mT37yE+wq5Vb0GTMLYThipI00W7/+9a9LgrGlBYyGG4k8PYg2KCPjssVpIrDkvGRNInPsJGvdkqMk0IVLXiKHKcaUUcfTfLQFkzXz6eZ3m6YmquEvxtavG2Giz0Jq6DgCjXvWMzgwjzhQXHZvBfQm5XfVRl7jl7uylt5UPHWWQwlUv1Hb6JjFsj8MF+gmhrZ1E31kAgz921sTDXSkgBIxex1EU1paH87oTdJ4SggrAxtZH2NvqKwmYfcRjDONxm4OU3yWP0LYOQGa4QFnpmBMfHNhStH4NXNHTKKyZuLQIqc4T1YxdJXxeP4r9GJRqAo7x8CKjjqb7yOSmFmHNB1kdz+QUxIIldZpiOHEH7BbbLHFRGBL8nXmIBXzJV2hRu26665so61Q5mshW29m55NMVQd92D0jtvGmJeR2DGji93GxrfA2dhiOsMrKwWTxwiS9M8jdqLEW7hhUK2+h+N4ttuGZ20wIOGvo6IPlRCOUnSmTjJwIJAIbCgHC1BUq2nq+9/KtFSquydZSkOKIzY4PaxPkUcWcHnPYl2zbLsBWwtbD161e68ZZWJHf9a53Oe5JIalohtkENXsHr0GfS6dI44IT+ig0MBwFa4r2YbUR41lyUA0HJe0ofeitISnE+DWp6kdLeqdjHWt20tdSQc1toqko1RbeLE1//etfC6rXq3Um4Y4G2kxt4mvXLjLpkwgkAhsFAiv3/dL8lfo0bhTIrlAl1z3hvkK4ZbaJQCKwCSLA6pQLe5mbuN71rrcJNj+b3ItAEu69sKRnIpAIJAKJQCKwNhFYOcJibRLuRNqOlLHY1u0OQmWHaBHlEeTw9JBhQEcYy6FerLdDsU76Npf6yMQZ6AMPPLC2ekrphxxdkPORLgNz2JTwuKkJ6t8au5crd3UQs66hClOnUnMmRh/84AeHJwmB0+TOuFuo19EatzPuVKmaI9FNnHxMBBKBRGDNIrBy3y9N7tf9XLNYZMUSgUQgEUgE1g0C9HeYqLr3ve+dbPu66dNsSCKQCCQCiUAikAgkAusYARy366Mck2Vhkrq6c5AOkznN6YSZG0pc0oO2ZuQtrih3x1Vw6K4scizboepyuqsowmPbGV7Dv9NPZ53yAQ94AG1xZ8JY6Qxrru5PYj2ya4GNEvrTnvY0aumMWFJpt5y2tHarE7uXDro5P+pIX2PZkvlNt3bpnfve976ofFY9FSp/F3TR4j/44INp6++0004iMPLJAucll1xC437oRDKdemw7YYBTdOu4x7NpiUAikAjMh0AS7vPhlqkSgUQgEUgE5kTAZsD5UxsJ9zrYn7BsPmdGmSwRSAQSgUQgEUgEEoFEIBFYRQRcZoZtx7NzMK8aJbMLymIqezKHHnqoq3oEocgF8fHjcH8Ywh0Lj45vKuv2IGw71t7CmMHGCGWkhUU4+uZuyWLZhk66nJuEPJmdQaBTTi+pcOj03xH3BACOkLrqqaSi2y4y227uZKrv6KJov9VWWzGwKUMXekkuWzT6DjvsELd21fdvldw44io1EoLaFk0dId2JQCKQCGzKCFxhU258tj0RSAQSgURg9RFgd3LnnXd+8pOfbOPxzGc+c6brUle/tlliIpAIJAKJQCKQCCQCiUAiAAG3QH3wgx/ksIItbHuNDBMrHllUd0VT7T/kZrcdOy/0JS95SWHbS2QsPDVzd2UhvmmaF/9wuIMERV7Y9hJ6m9vcJnh2FuGLJx0XRXh8xjOeUbPtJQKDftTkXdR05plnhuejHvUoDqw6IzYlWu0Iwr3m9OvQdCcCiUAisIkjkIT7Jj4AsvmJQCKQCKw2ArR7qPA4bPvRj36UAs5qF5/lJQKJQCKQCCQCiUAikAgkArMj8POf/9wZTZed0nDvTU3PnT+2neWZ3giN53vf+142Z+5617ve8573bILikaGYPfbYg5u9miYCQnzIKuPd7353kV3oWpKcffbZas4m/u677148G8djHvMYPkzZhD9D8IzJ/Pa3vz3vvPOamB7pzbg21p2uYTynGyF9EoFEIBHYxBFIwn0THwDZ/EQgEUgEVhsBZ1S33nrrO9/5zk7LrnbZWV4ikAgkAolAIpAIJAKJQCIwFwLXv/71GUn/5Cc/OXTP3o9//OPImKr4lBL+6q/+SrRxJfHtt99enM9//vNNhkMcvWiswPtbk/6h7b7jjjte8YpXbPIpj+5Vesc73vGyl72s+IjP7cql4lMcod7+8Ic/vPikIxFIBBKBRKBGIAn3Go10JwKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCLQIoCtZuDlGte4Rhvw//1/7ijCnnctrXdj1j7f+MY3PN7pTneqPRs3LXJG0l2RSkW9DrrJTW5SP9buMKpem7Vxa6sIjMbU0Rq3G1aptN/iFrco/ozPyOrCCy9UevHkkPOHP/xhUoeHPOQhtX+6E4FEIBFIBAoCeWlqgSIdiUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAiMIUB5/Itf/OLFF1/MbAut9r/7u78LlfYhGy+9ef3TP/3TP//zPws64IADeiMUz6DOL7vsstpi+x/90R+VCOMOBbHhLg7ufjxmE1quTqXk/rSnPa2EUrcnYNhmm21mam9Jno5EIBFIBDYFBJJw3xR6OduYCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCy0LgF7/4hatKWZUJEhwlvdlmmzHpzjz65ptvToUcDT2xgCDBRf7Od74znoQu+ZWvfGW8+Xi0odBSUGi+D0Xr9Wcp3pWtTMA/9alPvcIV/o+BhLwutRer9EwEEoFEoEYgCfcajXQnAolAIpAIJAKJQCKwphGw6WVi9R73uMe+++67piualVsGAt/73vcOPvjg61znOq973euWkU0mXUMI7LXXXq5GfPWrX80G9HKqtah8llOH5aTNsb0c9DLtBkeAWvfjHvc4V6f+8R//sdtHfYsZYBmy575kba92tatFnM9+9rPMuSwZf+4IxQbO7373OyZxZsonrk795je/yWCO9kr7+9//nkV4+Wy77bYzZZWRE4FEIBHYpBBIG+6bVHdnYxOBRCARSAQSgURg40bg7//+75l8/clPfrJxNyNrP4oAbUS9jOAYjZWBy0WAVYQPfvCDbEEsN6MJ6b/+9a/r03/5l3+ZEHcsyqLyGStjJcMWOLZNEN331a9+dSXrm3knAv8NgZNPPhnbfpvb3Ob973//3nvvfctb3rJh22uz6f8tZd8DmzBhFubSSy/tC1+Y3x/+4R+SEMiOAZzxTEWgbv8f//EfdbS4OpWee3ied955LOHssMMOKyokqCuQ7kQgEUgENkYEknDfGHst65wIJAKJQCKQCCQCiUAikAgkAstC4I1vfKOTBMnYLgvEDZf4Yx/7mO4755xzNlwVsuRNDgFa3tr85Cc/eUhPfFYB3hZbbCHDiy66aARKlmSec/mvWIYZiTwUdIc73EEQVfqhCPzJEh796EfvueeeTRxXpxIMfPrTn/7Vr34liKDL34c+9KFNtHxMBBKBRCARqBFIwr1GI939CBx44IHE2r6+P/vZz/pj/Hffd73rXeL7Ofb+30MmPb35zW+W9kc/+tGk2BkpEVhjCNB8MYB/8IMfrLF6bUzV2bAYugJLD8ZeAmrN46w4ut5Kbscee+ysCTN+IpAIJAKJwHpC4DGPecxjH/vYIZJueksXlc/0EjNmIpAIFAT+8R//kXvkptCPf/zjJfIURxhpcSXpSGR5+v30pz8NdfiRmCNBD3zgA4XSUh8xBP+pT31KnDvd6U5XvOIV66zYqZec8v4HPvABJuwvvPDCP//zP2dqpo6T7kQgEUgEEoEGgSTcG0DysQcBF6+zt+h8maNzPcEdr9NPP118P0buOoFLe/zyl7+UlpnLpaNmjERg7SHA2oMBvPwz42uvZVNrZPIeeuihZ5xxxtQEnXgbFkOGKfXgr3/966hX89ip7P/zcLZdwz/3uc/9P6//7/+zOZEbjaHaM92JQCKQCCQCmxoC9FOf//znh1WH5bR9Ufkspw6ZNhHYZBGIKcw8VC8CP/zhD9/ylrf0BsV1o//2b//WhD7sYQ9j74WG+4c//OEmKB5ptb/pTW/ipv3WG2Gi533ve9+b3vSmVNTd+Nqb5Le//W1UXpW6EaiP8CQYUM//+q//6o1D6+61l/+6zexmmD6JQCKQCKx7BJJwX/ddvLAGsk/nE9sYdOvm/qUvfYlyemPMrhstfRKBRGC9IoBidr77C1/4wtwNtCeJbcncOWyQhOxvajjDlxuk9Cw0EUgEEoFEIBFIBBKBRGBFEdh6663lf8IJJ3RPY//1X//1E5/4xNve9rYMu4vT2JaJ0y2XXHJJU70/+ZM/edrTnsbzRS960Sc/+ckmFAnurLlbW+S5TBMulNZf+tKXXulKV6Lk/qpXvarhxCmaPOMZz6C9Tm/9/ve/f1MNj9p1q1vd6vvf/z5SXlYPfvCDu3EcDz3l8l+TeTdm+iQCiUAisCkgcKVNoZHZxoUg4LzbZz7zGXbr7nnPe45k+N73vleoOKy8jUTLoEQgEUgEhhB49uW/odD0TwTWKwIMSTshYYvuuPc1r3lNO9ttt932ute97kztZc/KkXBKdr/73e8o4rnY7T73uc+1r33toUzoqeEIvvzlL9vPU6O76lWvesMb3tBx8rve9a5d2bmdtrr92Z/9merJkHjJzWkSEsajDG5/+9vf+973nukKtSbD3ko6O0KM9xd/8RfqFhG00dET59njcD19vY9+9KOa7FydlsJNNa5znev05rakp/NJeuFv//ZvnbdzXuca17jGzW9+82222eYWt7hFkxbCClUrdRMk4bnnnotMkdDpe6ksnCKoSVgeMSkWS/pdE651rWvRPdx+++3/9E//tESY6NCJLtIUWduRKb2pVE9/CRWniaDfLfAuvvhip4v+8z//E3S60tgb6UrX5blu1MhhNUueN7jBDe5+97tvueWW3THTlNX7OB3zklxVjXNjA0mkAje60Y2M2L/8y78sEcYdMfDECYPIDDV87Wtf81h6k5sPUunWt751ZGUQGhV63EgohhRmqjmVWPBKHsB2e80am9oK+41XvvKVTUPN6W1Rk4/qNfNo1okJBDLy6E1zysxCpcVLw/EsXewtdP3rXz9wmPh37rGtLXBwrNb80rNGI7Tvda971ZY0cIJmmZoYBv6a+NF93N0pMCXDiY3KaIkABB73uMd95CMfMQgZd6Jyfrvb3c7g9A7xFjWPNttss5e97GUvf/nLv/Wtb6HRfS7f8Y53BG53vOMdOczfvfbay4vF9+VZz3pWsPC77747+v7d7373AQcc4HOz3XbbMVnjNWtg0+TwgfBdOOaYY7wZltkFZhP19uc+97lvfetbvUIf8pCH+Eh5bytI6azlePOIMPQmp+R+5JFH/uY3v7HTn3VxssyaZ/JEIBFIBDZGBPoX5RtjS7LOK42AT6yVBD59hHD3Abb3tmO0V0/CfaV7JPNPBBKBRCARWB8I4A1tYtF5TXOOPvro3XbbzaZ9yjbbnlx81HOTiZ3/U5/61O4daKKheqnU4baaJB4333xzCVFvdRCjSZIoBbsqoRsL61CGpOzAjzrqqLvc5S61/4i7ZNirTxcJ9913X03DWRSm+CUveQkJAft1OAuH1wU1ynT4DpyIS+0QdiOld4NQG/T+ikWpEuE1r3kNAvrFL34x/r14fuUrX3n6058Oove85z3WPABpLOlJRSHRpY69zDW43vCGN5AclAw5NOdRj3oUfcbac0k34gZfI9onPvGJIYslaFxx1N9ars7Quk6h1m+159vf/nZdefjhh6N+av9w63djILjOEsriATrpsMMOu9nNblY8pzhmwlyGGqvC73znO5szlyeddBIFTMMPw7VkuTHwSjQZhlvliyVlcOHfyRUEfehDH9KbQfIaV0G4z1pzY9JAZZ7ROlmeda/BHwWGoStV4gCpgrBs5Bm1f5OPoDKP5piYrEO88pWvxKrXRRx33HHGtpcPVu5tb3vbHnvsgQesI4y75xvb4KV+Gyakm/yJowwtczD8jU9KtCWOAekXjxyFB5yeYckqHYnAkgiQLlPx9jlwx4/ZUeKTz7Fy/rznPc9wfcpTnoKCJ39ll7VEMJ29PU499VTfDj/+vm5BuCO4X/jCF+LuTT0CJ7+SKrKliFIGdgmaz0EgrdpmvZfb61//+pKJo6U77LADi1VDHxExXZ3qE0kS8PCHP7wkTEcikAgkAonAEAKz7UOGckn/TQGBOB9nn2b9OqR+5RyZ/YO94hAgdvUYeao3dpi2MfS/rJ5j3zKUpPanSWQhTj9oq622stwpQZTRVIwajkWJPB/wgAeUbXmJM+L4m7/5m/PPP5/Wko0QVRpKUnb+Nbthm4oHUc+b3OQm3XwYaLZHwi/ESojmgqzUIWxiWI1hUhwDlG2kpUkEBLfNYBAowVE/tL4ZuXsnUuE4aBHe7W53G1JUvOCCC2zYas6C8pQVW+hLyuTGN74xYUmpRmkI6OxaqUAWn9ph62ItqNzwlBuQ41F3SEvT0PqyF5k6H5ogaCDgUHqykgOXqhZ9JWodtPM0rRRUp7VapXnRhE4ZS3Vf6EEVsPy92tWudoc73AEJEqVru0H12c9+1sDW0joo6sBOCLuK0b/6ztZUVram1tMi6+jQ9Kwr3OseR6BOsuSArCP3ug05dysZhypsphCAqWdBu06iVlQyga9fNMRaX780mqEW1iYI/UHai9x4BzXEK0V8enCxW5CtrYXx4CXADU8aQBzGRj3HDXsdoUQ54MLwCDqd8lptQybyQRxEzvUERPFgQ8w4NfEiMp7pAU3n1KaUXuMz0W2imX2qLT7wo+HgAlqdwzh6dczpo6VOle6NFAE6cdTcDA+fg1133dU0NPJ90cxinLLNuSmA3xxvnZeSk+x0Oc3fxz/+8XhSMzQysbV+9atfTXH+oIMOqjPxWZFEuRSxaer5TjEjS8GNprNCfalRBqjkmIZ1Qq9NCX371NYbw8fFrPeexA96me+3334Y8FlZ1zr/iW7fuGc+85ne3r5fjMmSEHi9a7Ij+XBzATs0MO/T3w84XPG9i9xs6busXdxeZT6vbnKWLQPcr3vd67rV801HUug+RDkZgK+Db40V0ZlnnomTtZw45JBDmlQKUpzv6U477RRleV1/+9vfdtJfKi9SMDZJVuJRu1zpbD2GUb3f/e7nhUyt2OfVAPDZ3X///YkEGvGJ4YQCVhnxqWLQjrR2MpZOO+00Y8DYg3wjpxmp+ayY63TEk06ncK3O6mbA+y5gr1Bg6vyEJzwBG1svEXtLt27xihZkkaOLTYEgwXsTQgPbLrKyNC1aN2vNe6sRnkYLoZpeQGpTabcg9H0kwiFCAKyRgL/uldk0ec4xMRWB4JOPRZFJBAS9ae2kRFquXclTU2Lv43xj2zdU33mBgJdEwRkLbzCTwouI4q3VpilmaFl3KZRoJ1Ya+l2ne3eVUVqWOjNl2NuQ9EwEIOBF4c3WQOHr8MY3vtGLWpCPr1Fn2hqEhar2BfRKbFJ59FXdZ599fNPtoUzqEj9imoNUzs163wIvAV9ky0ijvfteCpvv3fxrH7r23ZpHBO9tVLulpiM1XoDeq1H/JXej9uDeM3Zk1u11WcVdS8KKZzoSgUQgEUgEEoGFIWAr4ru1YX82mXbXPurOrFEJsVdcTn3sPC1wfY9toTmsd4dyc7DOasPKw+dWTH9LTJ9nunI8RcDI26vL9s53vjMfPEKJxkHLj6elRu3JjSmjoCfoxBNPLEF2WdrI02bJNo86kvw9ykSJJdqQw3KcCo/4mGhp6fLg+Dyqof1PSeVCdp54h+JTO2xXhNr+hWfUH4VhHWYjLcjPljVCMZW21nwQoJZcNqvcCEd77DrPrtvWXUx0RjeIDwGGTPR4CVV/LZIEMrYu9qVsDnrce++9LbBKNA5rO4xJ7VO77f3kU3wgE48YWJttGfoRHpQIvQ7QqZ6Ykmt1IOAvWifiY3tVQwR7qiYH5gssQAXh+iNo1rEkB+qQcoC25pPxcD/ykY/EpBurxo82wsfPMBCkOEGlGvhonvpXM6U1wHSrbSGimT+iBxQlMofxzB/3WnsuiUBEnjgg65wbt4GH2VEB9dxll110fbSXmYKCdklCcw1hLTI0tChwNk5ceVTicCCwxME0mZVICuIuCOhHbecvf+x5xI+286x/tD5LbmeffXaMBDoycjCW4tHkxfKUaA2GZQJi6pWum7TL2yAqb9qiCEvaEcfE0qmIqj/CLrJqHnvzj5dk3Wpu1RZ5Onol54mjpcRffw407sI+yZ2MZL6mECNJje8OzVw2K5q6+WQY84YT3rYExUfHlCw+HBTlRDPrfStrf26vIxptQn1H6qAYt8jT2jPcXpte15I0H534rJiABF3NW05CMxFtJ5W3UDfPXp/I0Gu2NzQ8lSXPujhvDz5HHHGEVUTc3tYkR9LFC6qpfxOtfvRljFeKKV/7h5t0IToCf1FCfRdUw7fMN5RmbnfVgfkVAV1CbFxScdBx5u/t1/v19AYQSrvc35Gvc52hN7/Ift3eL9E0QQRLguKD0PGlUL26USVUi8Q3DIoPh5ji86cXX/tza37UWRJkaBPa+zgH5j64SgeLyjd5WgiZ3UItw5qgkUeDWZLeEchfH5GHcZgs9CdKPnPUXFqLDVmRhUc+pdfUwQoEu13yD4dva6xpDZg6qMlH0HwT04pLfRRBmFTnz41W80YirQ98KMM2EYYe5x7b8d1XHFi6mcfCpl7lRhwCME3o7fH5MuwWnT4TEeh8bBfmQZVqYh0y2kojQB5sxtnRr3RBmX8ikAgkAquGwMI+V5nR6iCwYQl323W6KrEd8kUsP7TyyDZsfDTHnhzhjhW198AzWoh3k1D7VRwNFEFdwh1LLpQyWk1lciPL+OPRSoZBWDeEO50XbKBdQc0XFEaAlgFNgcjBjsWhPHnaK5Y8hxxqK6YNeUlOm4bMnydKsWyeC9/Xm08v4W5DhY/GcTinbCcT9L1GYTNtd+ktlqxCSVCJtGKLZ9ehhnIbAj92OAUcnWU7iomgXlGaBi69YGzIpN7XzUG4YxlkjqXV0dxo4m6Fi0/UjTCmpkts87AhoCCWiJh0lPQvz3qECIpdlj1VyXDWsUR9zximshc5mCOOQwLcqU8UlQuCyr4dRxBBtBRLcUG40/ayxbXErLldXAkiGxS1TKshi+UzEQExJw7IUrfGYcTajmoa0Mp854kZgS2eupa1mDVimoCYqZKPXqDoyr/QzYKCMjZ5NdYR2pIzPbjoCxRbTBZBRj4Vbzlg8Ln9SDUif3o0/A0bpZQSzbjgaOoJ22AYE9CbAeHlBVuoHANPreRJrFgyHHJML71h2JvH3vzpDmtp0GSm/P9u9g9/iP0ReTp6kfP00dJbk/XhuUkR7kGUU2Id6ruYql5iJUKXcPeVMRHM8eb9WZIEs4a5LtPHC1kSXL85WKLVDlqlIpCO157B6/F3MKj2L24nYITSfSs+447lEO4KKsLsbimFTAz1vW6ExsdLT4ZdRq9E88kQQXcUnyDceXqRxjuwBBVHCDJ9QYoPPjHkH13OusSJL5GcV5Rwj2Gj8qXc2mHNEKIgr/TiH2oEqld8aofPa/CzdXvrCI17DszJh8AyVAHyAKGGX+8ytSk9HqPCI4S715HPGTTq5HPUXPKGKC+Eu/MoQzPXN1eLnICpS2/yETTHxDRiQ9HByYA68+IWIZboKjCRcJ97bCsrJkWv7EeVrBVVw0rGwqPUkGOIcJ87wzrzdM+EwMrtspNwn6kjVi6y96rdnJlYb+hWrrjMORFIBBKB1UFg5b5fcr7Ciuaema8+Asji0EBvirYtxExZpzb+Mz0y/UkvG3dMzaeb0NaRJzatG6RcurSOKqPM6tNq3Lg28W3Ru6mKDyrfjggramtNMbb42/diq590+a8ctnWUmzqzPSotXQv3ErnrQIc5Bk5/x1aqJHekl61bpdhhuj+qm2qiD7GHY4BsX+BzkchhWYKqL2rDvuW+971vyceJPw1hdoMyESXf4t841BCtCXy8YRPkEYCs0yBTIsgODcWAhaQzVZrmwCPqBKUrEwd+u5lM9LGjxjtTYYOwfrEh7xocKFkhW0XWKdpY2/lBtetNezOtjshbbLGFLSVJAFLDTik8tYtepz7SKeEzx1hCGx1//PFxBlwmjvDrFICTcBg/qles9Dj47wS9c6BoCD0VJcZftUU0MLHqjHPxt/fjL0M9OzS5piOw/AGJAqCLx66iAVCOqTKJYFY6g09ghqeLyjuvesIJJ7i6DWPuYGlpkV4gf2IA1/F5RHzx53C8Hd+Nyi85M9RgRFl5U95kT1kcQQ6kh30hU4nbr5yEJZ4RB5muFI74iUZRl3GYUFP9v949//UjWRoF3mLuycCDvJFvnBAs9aSpvJZZepVTj9PLTUvDqJTRfnm7b8q6RYk6BT2Rp4+WknM6NmoECALZI/IOMQuGGmJ/y7orM0oEWkNxWLcQ5NhH/YWtI3vlmr9yIEAKf984DuaezME6ZnHHZ6ux0x2hrKYMHSf3RRCHMIx4r2S1Qg411+ShzDWZNNQHywGyoTi1fwAiSe1Zu0cA8SasjWLVqQKQ+nVKw4Dg1ofmEY94RB2zduP9a2PxddAC3fHabD52JX9rBmsVn87Slc5bQMmL17KrRKsdRrJvKB/Lg9p/yD0H5lFni4fePJljYl3Eq9haojfCrJ4KovDhs1UMlUQOc9R8pGgLqqGZG+PHi2IkeQmaaWLaFzhe46uNrC851A5DmqGb2mdJ99xjm2TapLCoYEmmt5SYfaazd0tvhMZz4Rk2+edjIrAJImBH5lvmNVtv6DZBHLLJiUAikAhMRyAJ9+lYbQQxrcgpqgxVFG0de/KhCFP87QpEC269jo8rtM52szkV+No/3DRTkH0Oazc7FqH2cuzQoYC7qcIH9WlrZ1+NL8Nvlmi2iAg4zKCj5cWzOBCjWDmnuYtP16FKZPWFbK0jOCFuM0xrtfacyY0WR1nWmWP/Kfai8rEeTVb21Qx32mxQUW+C6kcWUTx2uQObYSIQspDgTewDafbpCAR9nTzc+EpLJZ1FA7cbOsWHXgN6ET1ka71kfEOFXpgdeGFdSxI7QzqbdMPLTpIeGeEEoLDYoqFxSWjsBpHypaw5xhIFw2BCS9FyC+OtuOmGbLLDhA/GvxmThgpF1JJDcZCX7LzzzoaKgVo8a8d0BJY5IDH+7MwacgZ/XYFwm7mGWbmLDPNOYoy/rknhiIkvZujZtpZt3zof8XttClORE82oqCP3ur2CWL1kZ7kJNVVR/6RN4xtpKk66skmrtrR6tZ3spAlqHpdZepPbrI8T0Zs+WmatQMZfmwjEewM17Os5VEMvT/Qlk27d2RpJUJAhiO1955dsnVDhjhsgOZiHIgdifa5EaBzewHx6RYkmXRO5PBJJRj290IrnCjl85oYwiRLj7VSaPF4NHzWAkCIPRRsCBEvYu/KJfKJnazSIRQVZZpCjDJVlsURvYCh0Uf64aVl5eVpN9eZJJcLBHeMzQuMeP6f3iDl74/N0io4A1Zca4zkUp/jPgXnU2bEnC6qST3H4uFvoqnMRDJeguR0kXt3c5qj5SAVGJlSMn/GPY8l5JJ/uxIxxaJgVGXbJpzgM7G7bS2jXMffYZpHf7PM+HJoUMfuU2PtG6tZk4Rl2i0ifRGATQcCWwQqEgoufJvfuBTYRKLKZiUAikAjMikAS7rMitqbjd6nYprpDe6om2sgj3RN8GRW5RnuIsjAGHKnXu1bGqltJ2590c6Y9hywYWkAzH0EzV4kU5IuGcmRC0wrLT6e7aHDXmSNYHbm1zcZz1f61254QO4mbVrfan9v2knL6OHnRJGke2eVodimUicSxx25ixqMSEQexm+2NwBPhSPmOVn69decfqsGFiwwGB5c9lE+YJijc61C0EX/afL0d3U2i1TbAhAHdID4YH3/rVtve215a2+kXA0YXO69Qa37NMZa6Eg6Fxr2grgLuViyCGqU/286uuCjSxjhhYr6bFZ/pCCxzQLo6jPoqiU4vA2WaWC7H3WhsSqgt2mJIlYxKHWbcvCBmKI2ClRqWx+IIvTPiouIz5ECRMP7YDTVJQ7g19B6IJEMatRMrsMzSu9WeyWcietNHy0ylZ+Q1iwA5kLr5Wo3X0DEUCmWNdLAkYayMhMycxTEVz64jVNJYhY4g7wSqyt3XmlnvPjfzxbGkbibhE6dYhkKjnqo0FGFR/qS241nFK640eTwyKADSJR+9l0iFnR308e3NwYuR3kBvEM8uGlGfEPoOpeI/9H4eSTJrEIFx0PosejE8yDx66I8P5RM1d+ZsKEL4NyNtJPIcmBOiGOoE+e5fUW1Lwfo7NVLW3EGhY94kn6PmTQ7148iE6o6fOmHjHslHzCYrh2Z49q6CSrZWeuMRSsxwzD22LRTNvt5THY63WiUeeuihTVnjjwvPcLy4DE0E1jECTs87DczgoWkVFzuv48Zm0xKBRCARWCwCV1psdpnbhkUgjriO1IFSMxqxu8EeSdINwqo7XWs3Xp9CxfVTDS6cb5MqFr7Fk0Y2XRXaTw7qYuqLf+3AwTG9wkQGT4o5Xf3o2CrgF+qT2nUOyHQ6s4i84OPqoHCrFfsqFvH0rxHZjk7bRtK0HToY3s1hxKdWxo9oUWE7iqEK27TjTUbyFETJne0OBjSYNykxPTJhwbJH+HzjG9/goGVWIjSO2C1PUUluEsYjfEYyb5JotVMIQ2cFYp9ct1pfW9W52lSnGAOOL7BtWuc5x1jqpYkjz/oIQiklZAlKLz4cXb3sEkoGYB871K3TEVjmgFyy35EUUWfkEQppvBMNEkdHzVNHPSLV0DwKVcdiBajA0nUY/MWT0MjryMBwkgD7757nEjTkWGYFlln6UK0m+k+s/PTRMrHcjLbGEQiDLV7gy6lnmJrxd9z2PUmbUromYtDrzkhhymg6MzHBHFm8mWtJZ1O9Za4imtzmfuwuDJqsHMbig0TGz/ZKIpv4Hr35fRwZlPPXewk4+L6I5lMCnG6SWdGIDMelI0qJyneLW6yPi2d9Gqy1vIf9aOujyx3z8kM0O0JUFxcjjdkxyhC1f+OO82HdkdZEK48zYQ5tRzmdeyMeoETi5xvEMpIfEQXReFdkUgqazzHSUzPVfKT0WYfQUFYz5RN6MyMLpCilOSA4VHT4L39s0+X3OnLHu4WKFYhFQkjiR15H41VaeIbjxWVoIrD+EHBTgnnkG+o1u+Rnd/01P1uUCCQCicByEEjCfTnorbm0tpRL1mn5hDv1IrcCMn1QCHdEv7O97jsaWRDj45gx+djHPkYdKVb5NMKwDGjuXlufNJ3licHHylFUtxtkjrxuXWh5o/5rz65bWUNUl8jUgRGp9Pioz4QRausJezaa14LsPLsZTvTpMrlRYTpZIzksuVkCl5yJNwrhbk+CpKObVrINO5jdCpQIsX2KXiie0x1UkCYiY5vE/qmj5fT9R/JvamKfz9JLHAl/8pOf3E0461gaqe104QpJQLcm4SMTrESvivesCCxnQEYFpuyNA/DxmLEJrxtFHjCEwHR/s4ysjh2hkMGADtejx006Gvrj+Sy/AsspfbxuS4ZOqfyso2XJQjPC2kcgTtIs+eYfb0hk4mU7JPYryXGRwV6Fj0nn8snQsufjcA/xoaMkxGwuWhCz9w1cctvgjhG98qhbqPRyg2gK4X722WdbDyDZJSF5tXjALzhb5ucdZQEzovU/HY3or1K3oYTLHBVD2Tb+MCTetqJwl7tzb673sPTycyLKaLEWYqOs6B1HzeGz5BE3aSNyU1z3cQ7MLTWZQiIRUWenggx73xQ/mfsWM+v/+Mc/fskadmsy5NN7jFLkOWo+VMQG8Q+tgpEFUtRqJgHGcsY2XZxXvOIVzmjG4RhyFCcwzDuzz0LdMaBG/WJJ0Bae4ZIlZoREYF0iMOvUW5cgZKMSgUQgEZgPgfn5xPnKy1QrigDqKo5zDpVi/TrCww6lavwpirLgydo46jy0qpHv4oR59yZyPFqCu/TS3l4NcamUZ62eWQ6JHVEkbxJqiFteWVO1tbMVPPbYY6226/PjQZWKY0XepK0fxw/YismwBlV6VIV9phqyhHvhhRei+NWKSL/Wiq2zrd29ur3dzZ4K+40YzJVnN1VdELeNHwMmDOzYagYa6EupwlJtRLZ9UiVbqaHcYjOzJFURuXUPaw9l21TVY5CMEB6/d6uxvYOgp7MvOVUpLaXtXuc8x1iqk8/trlmqbiYg7WVP5kBg7gEZ2+YpZhxi/9w7bkvTor0TB0lJNe445phj6EV6C7El7QiIlhK5RWUOPPDA8bTLD92wpU+p/xyjZUq2GWctIxBUZmMlbNYKB5VMcOUWh+lpKXG7mdNM9zkmPnfJSqNS3XtB9/T8FxhzyM4Jm2PjpRQthEIZj8SHnptXRGAI20XT3lHNAgDhPpJ8epDK+LotWfklI0wvMWIOwShU1xsDfr4LzpxZ3SHf2eN2zsm6yH0eodUYI816bOutt5619N74y8HcEsiPtoFVgRWj4aqDqCBYuVnOoW6tuHoLXYjncmq+kAosP5NQI2g0HrrZhtJ617/XZ+6xrRQLfidfLQiNQ1YWnTedvtrsVmbhGXaLSJ9EIBFIBBKBRCARSATGEUjCfRyfjSyU+vP4htCNlAvZgTBsgnBHSSPcUdXoUfqwvWYuA0G0qT2bHSyr3F1lmV7izzHnBz/4wZJTMWP1hY7V8573PJegFp2v2P7h04csO8/UedhSu2s/Nkwcmn7Zy14GSXvvQw45ZMl8Ju5GVBh5TVunOaO9ZP5NBODDk5I7MLHqDLgjSuojz/qCvzPdQ8IGp3TlOXIcoZToCGFv75QI4w6DTWO1enofYQTY+fEXPaoX2A1k+aQ2fjLHWBqv5MTQIas4kpsCtqyUsLpZzYFAZDLHgAyddJ1rGHdrwsfAZmTJhCoxe6OF5/RBMpJJHYTdw7bf5ja30addsd9yhlldypB7w5Y+VKvGf+7R0uSTjxsRAgTPyEEs4bbbbjtSbe9zrCJWtJc4jmsnptxRWReBkcS2k5S7PLl3YTBFeldnuEJuDR+inlmlGy807gbHmy8pO/QOjysu3BoSa49uzosCxOkiywbvWJRit5TiE5Uvj8t3TLHxQuwXRLbLwOm5P+MZzwAyhj3uyptvpA3VfFGYWxayCujnQAYJwWGHHUZL2rq0VkQYqsN8/ouq+XylLyoVgTfJiiOq49fzhrW6iYXOPbYJdbzBrBAcImkEXVH0rLNv4RlORCCjJQKJQCKQCCQCiUAiUBBYQe2PUkY6Vg0Bi2Y6bkPF2ahTMx8KnckfAergOUqaXp6/WLxHPOIRoZ7Zmw+DLfbziNQu2y4Hybup4tKt8NcuZL3NZ21AxrpcKB6tmzZ82L2hvlcU3LrRXP/yghe8wJnTJggz7iYuf1kIjaA4UNxbTxHQJU0OvY/jFbaXcKzbVr83be3psL+Npc0kVppK16WXXtqYzo9jB4yx1qlqt/tIPZZr+rRumU2rM2/cWs0ucG2ZpI6AZrJDri/SZMDd8XCeTlEceeSRyHqCFpvbkmqOsVTSLscxoux50UUX4YuHLhabjsD0AdnbkOh35+t7Q3miTh796EeD1BCiREZ7cWgHi+HSXvc0NocPhnKe4q/jRHPWocu28w8bDlPymS/Ohi19ep2nj5bpeWbMtYzAktM2Ku+VyDCX0z+9bcHb+rb6lo3PI58qR0nilJWXKh6NAqlTYr1su4JGpIy91ZjPM1YFI0eIRs7thSG4kXJjhTCyLippvfG8D3HNQ2y7mIsChJkauS1Z+SUjlMpzlMXVCJII9DoJN60CxtC7q6CI5qN20EEHcZcr1hka8uiTFxGG/rJTZKR1i2viz4G5qqpwHERocotHRwB95rhLnXujLdNzjpovs8SVSB4vn0984hMjmXtphEX+kTh10NxjO77RXnS9bLsiZp19C8+wbma6E4FEIBFIBBKBRCARmIJAEu5TUNpo4tg22+c4Ht6tMTMOglh06QbN50MtLnTb6bnbtCPcR/LB36Hjy4awjskIZv045EbWMx1z1llnFRV+y3qKunjnXrLYzWZUoanFjZhtxQJTD7dx6haqqnTGS85h7bqX7EAZu9ypm0PXZ7vttuNZk8t1HApZn/70p4d2GnVMbkru6nbeeec5Z0COEjmXOA94wANo87F633t+nITjne98p1TlRILW6aDeLTfAS7bzOdQNw9trpl+G0HA7VhmWepPmPnHCE57wBKFbbbXVE5/4RBVzziCMjfJc/liaryHEBmEitps8ro8DezeIz3QEpg/I3oLw4/gRLIMx2Y2AicNbkbKE9Agrcdlllw3NPiPEAGO9t5vP3D46Ttre+cg+knsI5s55SsINW/qUGkac6aNlep4Zcy0jQLLIGJQTYCOCWzMa5+WlXcuh60b5YHlb8hl/Y3vf+mrEuzSEoFSDRz46DGTXpayQOyRwI6Sez/RQ0YyfjODm0xOAONs3lEPxD0BGDn55h4yIsUs+Uxxx5MuN8RZRQ/F9+IrIfyhO7W/5F105hKR+d49OnYTbR82oKEb8m1CPwbAXk0cMffA0MIpPN4kKWH6ovPvSu6G1zxyY+4KoMHMuIycLo87O59VlLdY9R80XW4GF5Obl4yydm4ENxaEM49jHUGjXf+6xvSSks76OFp5ht7HpkwgkAolAIpAIJAKJwDgCSbiP47PxhSJPTzvtNDRlWI3QAOvpHXbYwf1XRaN5Ia1yVtcm35lNJ1Lvdre7jVxMqjgatbSuustlZPeb3vQmde6lhut64gUYGMEVvvjFLw49Fwy+e7Go6fFp7FHQU2OFhieLkHUmjZsFHntUFehuHan+OWa75ZZbRhJabypg288oR53Jv/7rvzJ941hu7TnkJjDAplErZhiniWNrzYIKlrxchdpEaB5tk5AUtp0gDXq9jkArGTI/+clP6OkXnjoiBDLOle+3335aFJ4Ibo4zzjijzoSbAIAt+zDd0wRNfzROmEF485vf3BVL2Oq7GZV8KG7jcYKBgj8TNBTbi8YldSfVo7VtVEehyx9L0ytfx2Rw3EjriiWopasem79DGu7TEZg+IOuK1W7KqnEmILaaJcjsc5jDYNhtt93C09TQs3RdjfMSLRx0Qk844QSWLkrkJsKSjyFaa/gOHSchEVGTHKSUKEPosuR7oEk7/XF1Su9t+PRKijl9tMyUbUZeswhgeEOl2qckxELdqrJJzdN3PAZYNwKfxz72sf4SMw9ZWcFN+4SRjpPXihk0txNgQ3ZLkLOhItpb3AI9fV7lNkQuk3N7x6p2b4mWBBYGQzrd7373u8kqfFNGlNZLtnGax/uwWU6UCFQWmvdqCZrVgZT0xrOc8GUcSuuw18ipwd5UgSThfW8oWytdpYEwxe5D3JuEZ3wgilCcooNTOAbqiI654epbY2UyctN4FDcH5sROcV5hep2Hmlb8Y70xNIpKtNoxR83r5GvETUITX3mLrl67Mey/WaeFAGNinece2wFpbzUU7TX1lre8pbcOQ903d4ZeoQ7I+sVh0N5C0zMRSAQSgUQgEUgEEoEpCCThPgWljSwOInXfffc999xz6bLZM1syWkwPmfOeu202sWhf9kzkMHJdauS/6667WhMffvjh9JKsZbHkFPqcC2bi5tnPfjZem+lG28suJ1tXD+P5rGc9i+It6jC2xGyMorDpvFOIRnravlLjtdvca6+98NroCTWsc2jc9pCIaVtQVAU9fSrMdKZsL48//ngSC/T3AQccEElAaltCGY2NGrwAwlpMZLRyKdGL3OQ89MhULnaeYRw2RunlwUGheHM3RFHJZ6e+ubNuKB+0Cw1lGCrdJbTdaCoGGRtsDgOALrP8IYNmVX/2eeLMdSTk1puYGvtk5lzwpPY2J554ovpgQoOX6RYx0Qd0Ohpd8qQnPYlsgy4V6KhaswnLhA66BM0kFNOqONt4g6TWMTRsJLdxUjftVehCxtLEytfR2O0hGVI62ZUxjHkxVAxaFTaQRmz9T0RAWdMHZF2x2s16u0GrE00Nqp2mgzGGNXPxLPQQbSHbkATbTsaDnTdZ9ItxqEUSUmczyGkRsu+s5nXm093GJ77edCaQM95CBdV8VCiWhNwCdIrDhdlCm31MVMW2P+5OmF7Q9JirU3rQ+pBHEZpuQ6qmI9WePlpGMsmgjQsBH0HzxSEPArNGputL5yXj2IozauMfGjzXve99bx8pX9Uur8rH+5bA1ds+Rql3fsgIyWUbw2vYUlT1wQcfvOeee0LSO2RIErAQnONskI9CVxRtYaDa6hm2L7rF+ZaxW+Lb0ZWaM5ThFSeJ0N6DNU1uJLu+R5Y03oGNoBqqhMHeXfGamtW0RVOQR981OgEcJ510kuNETQRfQ52i/uMaA00qjy6j9leGXa1/V8H7knYzZKfIUsd6ifC1K2kgpAk7fvUywwJM/S2ZrJSaJD4o0LPspOdhFdqtYeMzH+Z77LGHfFj6Lucd62x5xom6xtReHadxx8mAIaq3iRyP89W8N6sN60mn4U53upPpYzGMXvei8JagSkKTxuvI2sAHemj29dZ87rEdsh/C/q7IkBKAt5/3gF2AQpsJGN3nnFxTn7kztHA65fKfWdPkmY+JQCKQCCQCiUAikAjMhMCVZoqdkTcuBJapm7xkY/HsNOaQofb545Gt123b7CFpRRXFKAlJAthnx0HjGvDOFtPjtlbRiNRtUHi2AWhBRC0ygo4YHp/KdqmD3TV6d5yeiMhPf/rT8Q5yQPuW5BxOA9il18Z5bEuwEraySP+IaV+B0MdK2KzWaUfcegQFicpEhdfWPPDsGjJkk6Q3w7g6FXVS1PDraDTjAE4rHKHJcncJ0liWVYM1KJ5qZZNMGCCyX/izqKN3sPYqXGLO59D7MpGb7ZxfyYSuHPTCSAJmxBjYZZddumPJWQ0jh+1vxtyR3YsaS6UaEx0gtRXUTa985Sv9LamopRNLlAMlxb92TEEg4k8fkHX+tZvwBnFPGZMkoPijcQGIdi8+HLbZJk7cTFv3iwMrKJUlrQHUWXXdpglinVhFEHtT+tqumBRHzqwG+UUSDBf2BDWDf0fTmEqG6PgFbt2ypvisTukO+qC0mFOICwaRdPpiSvXqONNHS50q3RsvAgbnG97wBkQ5+1oYZKccfAcx7MgvwhvCMNPEG3L8JaP5ZpxpjmzFkZEwuUybijG6HG3EZAQSDUtYvl/ic/uMCkWnOlzFJhXClBjMTFSo7xGy2yeesFYEtkSCI144zq6bVrpvq28W6aBPgK8P0pmdEy8K4JhHMaG6RQPKNZ5eX2r4oAc9yHsGbiqMrQ7zL5YB/LsJuz7ePL7yJLuoNssMdK3JS6QNT7bOyIl9gLwbHQUTavFjNQLnbj4TfZgA8s31afMGBjL7XYrD7BNGKg6lqNrejd6ZEzMUTZ1JSjCPXvWU+slfNcqrFRQGgBK9abWuzpCkx1eYwNhqgVxHKsseaxuiDioFTrmRPTi/FaKXSAhkHxdKAxZOFmOGq3WIxZgx4wCT8cNE0kQlj/kwj0t9jA2LNEs1tw1TKAEdnlQzg3j1JfUirVs64ibx1VKm4YhIjT0LyHo92Ztwvpr3ZrVhPUnHTR+DkJDYutqvro+JCWRrHp66uA4acc83tn06dZ8Tb4RA5IKmtnWLHqEyYmHghKhKWnpZKHrLWZ9YDUYddB8HeQntAYc8vOi82bw35s5wpGkZlAgkAolAIpAIJAKJwEwITF0/zZTpJh7Zqh1vuImD0Nt8J3YpqlhAhwKs7ZCNWW/MWT3ttdziRTfN5tAG8va3v/1MyrkW6DbVP/7xj9WQQjc9Gpn01oGqOMUfFEZEm6iQ3s2KGiONY38xKTYSzmjPenic6pndvm1hw6I2ZWkRZOzeMSm2KJABfhMnHqmqURUM1Ug7f70za5V6s609Kc7bFDmj4FS4JoeiZR1hunvlxlK3DjTm7Dmx6hgWocaA0eIvMou0o9bH76ZtfCYiMH1ANvmXRxMB1HrT1FBDO1I8VAltHKYk9VK8jD2qXe64eagm7cgjRTkMiL9Ea34lprKo0vNHIBpmCi1Bq+BYhdKpA8fRH9zNTC+ipvkTR0uTan08EgrG1Qgr0RznVLoWtFaioJny9FnBfGHYvdzqhF4yxFSN9XaSUdQwVh2zWUc29ihNa52JX/ub/pYl5NDN+x/Fj8727asjez/DX2TEKxKWhNhEdudHyM+wwF6AyPERwRgxpK8bRqypdl1K7fb1oS6t2l59xd8HSD5obm8PR7XcIFpnGD4qjyMmIaDv7PhUScvhI453G6lkHbm4adnrBR+p4tNkpSCyAW9LkmyMHi4bt+sO+RELJxSudRM78nFdbZ0zaQdRiq957enFSPpC9ELGD3aPDizWEUbcRhE2HA9ex9GhmFPCFSsu3wKPja0MwwCpisqsU3ErGokpbXcxYCFkYHSvRTVcfS7j8EST29DjrJjLxweOigbG33HDJluUqx4pV9Q0ob2PZg2pgzNJshXBysQ0jJhB5iKCvcy7aeeoOTLaBMduhylCgiVSHDkTEdVfybosA5uAp+m1Jh/xlzkxyUscijW1yZaIHKxLjcDQKCfJI94gjjKE6oqNu+cY25YiyjIa65yNPbPYe4CQwzeRcIhMxXssJGoRkzIE7YHy0rNmcx5R0HwZ4vdNQMlBWs651lVK9xAC06UyQzkM+ZPLNm/4oZjpnwgkAolAIpAIzIrAyn2/1CQJ91m7Y+n4SbgvjVHGWDYCduk2e/aBMxG+yy52U8ygIdw3RQiyzYnA6iKwCRLuATCVakQVghvZ6uwRESnF81mxRzy5H8U1Hojj4M5ItoZkP0hG0l8clsikX+RtuDxmRmYtdPnxkcVYdRwZ8TC6XJ17Wc4oqCbcw0crMDJEocThiEKK2POtntGv0COtxP7rAsyjXpgvq4mYINwRnUQUYMcXI3m7BPfErCKaridoR0aT6BOf61DDYMkcKKcj0AEIf+QvDBnvJnQZSYgADdUBowjFiW2fT44+H+aktnCDHvkHWQLxgE6frwLaaOrR69d20qnpUuf5aj4C6RoMotjBZiM5yhy6RHOMbVPP6DUOvbKsbx3UGBJF1FgRY3htEmAY85RL6hk0X4Z15umeiMDKvSeTcJ/YBRktEUgEEoFEYA4EVu77pTKL0S+eo1WZJBFIBOZGgAoSDSxH75NtnxvDTJgIJAKJwFpDANlHFXqZtWJBmwWYiZlYYqK2/SbGX7loiHIq7XPnjxb3mzt5SYjmY0TFr/istOMWl/8WWAoTK36zZki0M6t0B7s9N8FdV28+zJHsCxy6pt6szdeE+Wpet30Dul3Yw4gTMQ+zPEPViLOPQkPbfSjakP8cYxu16jeU4ZA/nfehoThfhkMFpX8ikAgkAolAIpAIJALTEUjCfTpWGTMR2MAI4NkZuKTM5cw7vSqXXG3gCmXxiUAikAgkAolAIpAIJAIbGwLI9Oc///lqzfj+kFI/6/ZWngzazGQmaGNDIuubCCQCiUAikAgkAonAiiAwdlZ0RQrMTBOBRGBeBJifZkacJU3nvp/5zGc6vj1vTpkuEUgEEoFEIBFIBBKBRGATRYCpFuaGNP6oo45qro4IRFxGElfEu/ncuZlNFKZsdiKQCCQCiUAikAgkAvMikBru8yKX6RKBVUfA6Wm67XHPKtuyq17+Jlogi7qvfe1rN9988020/dnsRCARSAQSgUQgEVh3CLiMdM8992Sifffdd3docuutt3Y3qVa6UcA9rq4IdhOA+13jEtF11/psUCKQCCQCiUAikAgkAiuLQBLuK4tv5p4ILBABNkZthxaYYWY1BQF3wd3rXveaEjPjJAKJQCKQCCQCiUAisFEg4E7gU0455ZBDDvnGN74R5mVosrvXgdHCqP+d73xnSu5TLt3dKNqblUwEEoFEIBFIBBKBRGA1EUjCfTXRzrISgUQgEUgEEoFEIBFIBJaFwD777PPIRz5yLdz1uqxmZOJEYEMj4KrYM84444ILLjj//PO/9a1vuSXoCle4Aj33LbbYgqrBXe5ylw1dwSw/EUgEEoFEIBFIBBKBjRWBJNw31p7LeicCiUAikAgkAolAIrAJIpCHvTbBTs8mrxACVNrvdvlvhfLPbBOBRCARSAQSgUQgEdg0EchLUzfNfs9WJwKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAgsGIEk3BcMaGaXCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAgkAolAIrBpIpCE+6bZ79nqRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEUgEEoEFI5CE+4IBzewSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEUgEEoFEIBFIBDZNBJJw3zT7fYZW//73v99xxx2PPvroGdL896j/9V//ddZZZ+2///477bTT4Ycf/t8D18PT8iFaDygs1Ybvfve7BtIZZ5yxVMR5wnffffcXvOAF4ylXs5suu+wyjT322GPHq5ShiUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAgkAusMgSTc11mHLr45//mf//m9733v7/7u7+bO+vjjj8ezy+TmN7/5Va961bnzWQsJv/nNbx566KGf+9zn6sosH6I6t/Xq/ud//mdj4O///u9XooHY/B//+MfjOa9QN/UOiX//93/X2J///OfjVcrQRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgXWGwJXWWXuyOSuBwBUu/82d87vf/e4b3vCG73nPe65ylavMnckaSXjppZeec845f/EXf3H3u9+9rtIyIaqzSvfKIbAS3TQ0JFauFZlzIpAIJAKJQCKQCCQCiUAikAgkAolAIpAIJAKJwJpFIAn3Nds1a6Vi/+N//I8vf/nLc9fmV7/61T/+4z/e7W53Wwds+xAIy4RoKNv0XywC2U2LxTNzSwQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEegikCZlupikzyIRYEhEduuYbV8kWJlXIpAIJAKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCGzMCKSG+8bce6tS93/7t38777zzrn/969/xjndUIAL9/PPPv9GNbrTllltyf+hDH/qbv/mbf/iHf7jmNa95u9vd7sEPfjA94qjXN77xjR/+8IeCPP70pz/9yEc+wnGb29zmZje7WURwmepf/dVfsYceBuJvfOMb3/Oe97zrXe8aoeVv5POABzyAPRCeX/ziF1nNvuUtbymmtFe84hWpzzOZ/alPfcojE+HXuc517n357w/+4A/Ed1XmBz7wga985Su//e1v//RP/1QR97nPfSKoFMHxL//yL5/4xCf++q//+he/+AVj33/yJ39y+9vffvvtt7/61a8e0VT1N7/5zSWXXOJRBaI5QABFA1GdrZgf//jH4QCr6173un/5l3+53Xbb/eEf/mEd56tf/epPfvKTe93rXle72tW+9a1vqW2YI/+zP/uzbbfdNmCv4/e6P/OZz/zHf/yHpkH1s5/9LDSYOvmjP/qjzTfffIcddpBVbyqIScjUOBhZ2AfyrW51q96YGvKxj31MQ/71X//1Bje4wT0u/3VhlBYakLzgggt++ctfGhW3vvWtH/rQh1772tfuzZbn//pf/8sAu/DCCx2GgLYRosLXu971euN/6UtfMvwMpytd6UoGkpzLcOqNX3s23TR9JNeZ1O6RIVFHG58mdUxj76Mf/agBb6z+8R//8V3ucpf73//+OrGO0+uOpv35n/+5eSGCWaBuUHrqU59a4k/sa4NcHS6++GLdQU7GetKDHvSgzTbbrORTl2WmGGxyNoRcz3CLW9zClBkabBPn+xzTwXxR529/+9u/+93vvH/+5//8n15EACx1Lo65ES45pCMRSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgXEE/jcjmb/FIvC2t71tl112WWyeGzA33B8uGJP76le/WjXQuA984ANRonvvvfd+++2HlUPGXeMa13Br5a9//WsklytScaZiHnXUUWeeeWZT8wMPPHC33Xbj+bOf/eyggw5CrkmL1MPcfec738G93ulOd3rZy16GGS8JI58vfOELSD1JML+CnvzkJz/lKU/ZcccdkdSvfe1rDzjggK997WvIYqR85HO/+93vyCOPxME985nPRKajAjUEX8yNjX/lK1+JYi5FfP3rX1cxvD+eHV0okx/84AdEBWhfzcFZi7nTTjthw0uScLzkJS9B7TUQRZCCXvrSlzL4jhpGg6Ij5QkuBD3/O9zhDiUrN8qedfnvve9972mnnUa2cZOb3ESeKo+jfOQjH+ma1hJ5yIF6ViJD+c9+9rOR1zqF4AFiqHwtlcPDHvawOu1ll12myYQl8AcOFpUsgdzisY99LJBDthHxeb785S9niF9DIExaoGKqRxIAxobWFPSc5zwHzkrH4OtQPipwxBFHsOO/++6777XXXvvvv3+pCUHI85//fMiDGvKGkIEEK3V4xCMeUaJxKFFM3C4COmhlt5LyfPzjH28cbrPNNrrprW99a52kcYs830hu8imPI0Ni+jQpuen9Y445BjuPN4eqCQIWoB199NEY5BKt12GsEuQEtm9605tOOukkg0HMiy66yN/pfU2m8uIXvxhtre/0IHoal20wPO1pTzPfo+hS1s477/ysZz2LeIDMw4TF1EdfP/GJT3zSk57U1HP6fJ9pOpggxx133CmnnGJwqrO3gQprL9rdoN16663raiwH4TqfdK8CAj4TvqQrVNCuu+56xhlnrFDmmW0ikAgkAolAIrAJItCrhbMQHCzwvv/97y8kq8wkEUgEEoFEIBFoEFi571dTUD4uBgE0ARpo3fzwaNhhtHW0CIcbj1RZcXMY5PDH2J544omCML9UrXkKQrwif3kixLn95CaI7jPV3Tvf+c74Zcxg5PBP//RPckDjorARr+HpL95cDtLi0HHl6PVPfvKTtHcFPepRj8LLIN/xsyUJk/EoP0ne8pa3SPL6179e3SI3TByaXtA73vGOkr+EFMmpyZ977rnFUxPQc2IqgjCAP/ZTHTDaPNWB24/6vKAGIj6SR0GHHHIIgpKPH09FaALdfEzo5X7/+8+LXvQieRIzqC3F5OJvcYklF4S1L55Djoc85CEgRYA+7nGPw1mXaJ/+9Kc1ja70j370o+IJau2S8xvf+MaCPxxe+MIX8iQPKDE5NIEndh564U/JXccRjWDnuUtknYLRVtwHP/jBGAOC0NyvetWrdCvM5fOa17ymxMfPokTpyjsEUDzR6OgwMZ0hKJ5KQdZHcpUPf936/ve/Xw4nn3yyQkUo8XsdTTdNH8m9ufEcGRKzZq4hWvfoRz+a2KMU5/ABQRd8iGqKZ6/DXAtwsM8cxp6BSkYl8vS+Jk8yJck5iKxKKeRYfOTp1EJ4RllkA/wR63XdDIB99tlHZOOq5MAx03yfaTq8853vVBwhUxmcZqtZZjz46YVSjWUiXPJJx+og4CWwmO9xXy4yX51WZCmJQCKQCCQCicAmgkDf93Yxfgj3TQTDbGYikAgkAonA6iOwmG9V5rJqCGwKhDuyFQ/bnQx0bPFfrL6UIBwcnyYylWSeZ599dolWHNAT9LznPa/4BOFOb3rPPfcs5HWEYo0xuSjmQu+GPy1X/vKRquQTDpq2kaT4U48Vs6bgSxCWWRAd3uLDVAsfSYoPR8Pk8jn11FNFO+yww+po4abUj/52RKAw3cEw4gdxzU38z3/+8/KhXNz4dx8R7joFB0qpvAl93eteJxOCh+LvsELjU4IgJohpnfDB+XrEoobUoUTjCAKdPnXxZMBEZBAVn+JwUIAxH6E14U5YwofxmRItHDh6zSGZ4AgfKttiUqhvYnoE0d3vfndM8XyE+/SR3C06fHqHRBDuEzNnAYaGvvYW1riUZewZLURKxafXESQ4cctWW23ViGem9zW5CJDryRtlodT5GwPxGGURA+yxxx61uCVCg9/XHTVrP9N8n2k6GELMNHXHfEjL3vCGN0Stlo9w5JN/Vw2BJNxXDeosKBFIBBKBRCARWD4CK7fRTsJ9+b2TOSQCiUAikAgMIbBy3y8556WpKwrvus3cYEWidZuHJ+UZhs67oeHDJgwaF79MF74bhzUetuBZZKY/Xocy3o2r7ZoCVxNGRWoTKFIxyRJGaahg15lws9HBZgsOsfj/7d/+LTe6s/gUxxZbbMFNZlB8pjhoXiPcVRV53Y1/29veFjVMOZoaeB0KjdpSdgRBieX3cTxLJjhxlDd7LMUnHIFzyQQ7yT4M+y0o1Camx+c+97lXvvKV3/72t0cQIy2wPfjgg7sHbRhUYdqFijGbMyKTFgT3Tcm9m60zB2zX1P50/GlPsw+OI679ucV0JMJJhYCINAW5zxz8vvvu28T0CCIlitMNmuKznJG8ZP4TM8cO46lZ2mHRqMmTBXxjmEzCqYUmqPvo5Ie5EHMwQmfqa4BL1Z1iLMag19m6qUtkdkaFDZXak5vBH6dhdIeBEUHzzfeJ08GxDGZkumPemRXbM/K5qMOiEG4am4+JQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCHQRSMK9i0n6LI0A1rg2s14SMFDOHcxd8WwcaEE+XSq8RBOEqaQ4XHw4HvOYxzTmwksoFeDiLg4WqLnVs/gUhyBEZHlkh53dFReBFp/iCKodgV58pjjYJacFjEouF642qaLtgUMJ6mX8hYIUGxukdonc68CJ0yLvBpEx8Cydwm47SzhMfrsSsxs5bnZFnesCKH35y19mkR932Y3JhzV/usMsw3BL4i/N/d6YmNkmyGWbI/ExvIhUBnbEoSvNJokKd3nVKKtXctNbja7nckZyN7fGZ2LmoGDm3o21TfJ4BDJHQNEboXjCx2mP8sgxva9FDsv4xFrI9DoTbockTj/99NrzWte6FjX22qe4HTgwVVnbD5/55vvE6aDOBrbTG6RNpQIcxAbve9/7GP0Pz0UhXBeR7kQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEUgEehG4Uq9veiYC4wgEsd6NExTzuLoxKxkSsuvSTR4+DHFwFI3s8Oxl1QUpMQqNaPVfhDJ929on3IhpbHLxr+MwkUH5nfq538UXX8yMeIk23bFkAzHgfk0Dl4TUtZDjdcBy1m0pkeGA7y6dEle/UvNHZJc4tQNZiXKFAAVhqbDtQzFdoCohwh0pH7R73Jdb51bczc2fUQ2XWw5lTqITec6acylximNJ2KdkMhRnYuagcOAA4L35BJUcIPRGKJ4OZDQDYHpfq6rreR0pwOwTYGD5GcffcsstuwrvUZyLjku5jcORCMNAPgQ26rPkdOid70tCF9PBba6OSrBrxG67OjstAYSuYGZRCDctzcdEIBFIBBKBRCARSAQSgUQgEUgEEoFEIBFIBLoILEHhdROkTyIAAQq5c+NAIxVZNkTkyZaStb+MRdRFDMUfoaEbOzN1bo2bzXeXTKII2UUJYhrbS3kWhfehD32oibzkY+iSRyuGIss/iMgSYTmQRiYTc2AYXfyjjz66FN3rgD/b9IKQsH69ccIzeioiD3WTmM0BhagGo/8jOQd9HDk3yetUWPuRYVDH7LongtZNOMVnSubOT7DWQszjDMdIns106I3ZBX96XyO4oe1yApconHXWWWz4+Cnlpje9qdMGbnNt7B2x8NNbh/CMzjIR5DnffJ8CnbLw/szFuKP1Yx/7mL9+RsKtbnWr+973vuQHAcgCER5pcgYlAolAIpAIJAKJQCKQCCQCiUAikAgkAolAIhAIJOGeI2G1EcCIIbXpmHfNgkdVwnxKaE+Xyg1FLhHmdqDqXvCCF9Ajvs997oP0pJz753/+5+yZyBDnOAfhHuRv0SjvrRgSsGlgb7SV8Aw5BEPbDYXalMUOfpgWefCDHzxk7SSShMGZaPWI6ZsmSDX8XOnZlFs/RqdHziOGfYylcbTrPNeaO5hl0h3K2iN1G5E3lFTdOQJhoVP6OjJxEoJRGr+f/OQnzNEwjsQyDAr+Xe9616GHHlpbhx/pDllFX0fH+TvHfC+NWtIBGXcsu3uAsXj3Mbjvl+Ts2GOPdQ8BSzjI9wUivGRlMkIikAgkAolAIpAIJAKJQCKQCCQCiUAikAgkAkm45xhYbQQod2NImUdH6faWTd+c//Wud73e0MV6Mo9++OGHs0Hx5je/GTfXZD4fjauB8tGKISPXmo/QXJ0GNi3yGDdzAr/3dtM6fsSkP75kTKnCaP7Pf/7zoXY1JlNkTshx+9vfnjXwutCuu+TcDQofhYJ0KHSN++PEIQCKKSDP2pbpfd3kbHj4BcPOCDu2/YgjjrjDHe7AM2I2vdkk1yNo7ujZ1ZnvYCQq83OXL2HAaaeddtxxx7HhTlQQNVkhhJuG52MikAgkAolAIpAIJAKJQCKQCCQCiUAikAgkAnlpao6B1UYAbafIcqdit/jPfOYzPP/yL/+yG7RwHzq8bhBlMaPLtivrZz/72RwlLtlAhbL1sToN7NYfKcmTInA3KHxe+9rXPuUpTyGKoLpOFDES88Mf/vCTn/xkqtASxv20X/rSl4ayveCCC+qg8WpQkd5///3dZztHznUpG4UbFGwZhSWiboW/+93vAvnMM8/sBi3pMw6y5KWvDUjnPGiFd/Pcdtttn/rUp7reIO7FjQjf//73L7vssm5kPg5GMJdkQtGX97jkdJh7vtNnV+cvfOELTTWUu88++6i2Sv7oRz8SunIIN0XnYyKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCSbjnGFhtBNgnYU3l9NNP/5d/+Zdu2Yi/d77znde4xjXufve7d0MX7sN8tjzDgEyTuSsfWZtpPKc8siuNfT7//POxqL3xTzrpJP4MxPeGrrSny0spHTOVExZjmuJ++ctfvvWtbyWEgAljINSuXTgZlHoT06OGCGKBh/ue97ynbmVQGzPbjUnl+eMf/3jtv91223kc4pFpVX/605+mXC/ODW5wA3ji6/GndQ7hdgqhlybuxlyzPqCgf00Xu7eGIPriF7944xvfuDd03HN6X5txAA+77d08Q7E9LMJHqCMFQ5Fdh2AMbL/99hFz5ea78Unk47rUboX51HVeOYR7i07PRCARSAQSgUQgEUgEEoFEIBFIBBKBRCAR2JQRSMJ9U+79DdN2Npcf//jHs6ny0pe+tLEEQq+Z8Yq///u/32+//eLCzJWu4s1udjNF4IIbmtjjwQcffJWrXEVoLRgIpd24xnOkbqxmI4JZtKg5yoh/6qmnfvazn73//e8fmr8jmaxQEAsb8HcJ54tf/OLGZk7gz5MV7yhdTPFf9KIX/epXv2rqc8IJJ1C+djVl3J/JfsjOO+/MUlDXLDupBk3kzTffvM6BBXk0KPXkLl3+i1/84phjjkHfMw8SSWjco6SNjRCQ1Pmw1k3V+vrXv37tuZruiUNipEostxAqMGp08cUXN9GIGfDXoNtmm22aoCmP0/ua/ff73e9+9MHf/e53NzmbpO9///t5sv9TgkhZyMy6BxqIZ0488UQSHQMjIq/cfKe3jlV3oy/r7aVi4TDvTGrvkFvc4hZ8Vg7hptx8TAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgbbjnGNgACDzhCU9AzJ1zzjn42b322muLLbZAp371q1/FOX79619H1bHxsjrVwhtuvfXWbGUwmuFHOZ1iOxoRLc4q9JFHHol6Zg/6H/7hH9RTlYKgP+uss25605simt112at6fJe73OWAAw545StfiTJGFrMewzbLD37wA8r7H/3oR+lrI6BXp4G9pWDGtZH+Pn12xjfgj8jGWtJY/9rXvrbDDjvgXiPhrW9962c961mveMUrdt99dw3ZaqutqBX/8Ic/1BDJkeZPf/rTSxH77ruvTqT4TJ99jz32gK1sWaTRrQhQ1kt22223EpnjhS984Xe+852jjz76kksucV0t8hStr2Liq9ghhxyCho7497jHPeB/yimnyFY3bbnllghiQ8h9nih7OMu8znk13ROHxEiV8MJHHXWUdj3pSU/ae++9gX/ta1+bkXSUsQaS+rCf3r0QdSTDOmh6X6sA6y7EYBdddNGOO+5ohBM76ZozzjhDJxoV9Z0Eul6n6PFdd93VWY0b3vCGpFCf+tSn3vjGNxLYmDhxOiFqskLzHSauS33GM55BLGRguPTYgCFJivkLQDKzkNutKMI12ulOBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCAJ9xwDGwABirdoVkT2W97yFnxZqQEt6QMPPLChZUvoCjle/vKX0+D+xCc+8cQnPrEUwQA0T5T6Qx/6UMwyfjkI9xvd6EYoeLq9QkVmZLyXcBeEoRb0qle96rDDDivZYqvJEnDxwQMW/1V2YCq1Gq9NruAwQSmdGRmcb42DIN1BYblpCGkEmyHPfe5zmSIpyVHDbqr0AxeLOuGvLEwoAYNOLzHD4UrPk08+GZtP9HL22WeXULSp6jFFUnw4mHT/sz/7M5k/+9nPLv50nAkJ8O8bkHCfPiRKtbsOxx1Agad+/eW/EoFNGKxx7wUDJc64Y3pfOyVgPqoDc0N+JVuz0iAphx6KP0mMHpTEKCqeqqrCql18OFZuvjM89brXvc5ooVbvVwolLTBizeLis3IIlyLSkQgkAolAIpAIJAKJQCKQCCQCiUAikAgkAokABP4gUVg4ApRSd9lll4Vnuy4z/Ld/+zfqtHRRabijU9msCAMdq99YuvYMerBdTrmYxjeN3ZE60IK/9NJLRcBRjlPnzHG4QJJuuyTXve5173jHO4YBlpHMVzOIBjr8tUU9NRn+Q82JIwhMjjCwg2bFcV/nOtcZqirr8LKlpR5gFkX1ofgU210k6y/Knuo0Gr3LzkdaRm9YjXeZLdEFQytOGAzlucr+04fEeMWcHjBgAEiSAYdQnx9PMjF0el+D10EHl7jqDscObne729Wz0mkPtoDue9/7kpQoWrZ6xJkGkXVHYzioqdsKzXej13EHBo7M36tf/erjA2PlEG4am4/LQYCcz5d0OTmMpHUsw7mNkQgZlAgkAolAIpAIJAIzIUDDY6b40yPf/OY3773GaXoOGTMRSAQSgUQgERhCYOW+X0pcqU/jUGM2Bf8k3DeFXs42JgKbJgIN4b5pgpCtXmkEknBfaYQz/0QgEUgEEoFEYIEIrBxhkYT7Arsps0oEEoFEIBFoEFi575eC8tLUBu18TAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEUgEEoFEIBFIBOZBIAn3eVDLNIlAIpAIJAKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCiUCDQBLuDSD5mAgkAolAIpAIJAKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCMyDwJXmSZRpEoFEIBFIBDZJBNzm+trXvtYNwJtk67PRiUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAgsgUAS7ksAlMGJQCKQCCQCBYErX/nK97rXvcpjOhKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSARqBNKkTI1GuhOBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEUgEEoE5EUgN9zmBG0l2ySWXjIRmUCKQCCQCiUAikAiMIPDDH/5wJDSDEoFEIBFIBBKBRCARWB0EDjzwwJ/97GfTy9p+++0f97jHTY+/NmOeffbZ73jHO+5xj3vsu+++a7OGG12tXv7yl3/lK1954hOfuO22206p/KGHHvqd73znmc985lZbbTUl/pqN873vfe/ggw++znWu87rXvW71Kzkr7KtfwyxxfSOQhPvi+9ebcfGZZo6JQCKQCCQCicCmgcBPf/rTTaOh2cpEIBFIBBKBRCARWNMI2NrPpAdwu9vdbk23Z1rl/v7v//4b3/jGzW9+82nRN4JYWnTBBRf8j//xPzaUbUyjCKT/8A//UIM1Uqvvf//74v/jP/5jHX9jdP+v//W/NORP//RPN0jle2HfIDXJQjdNBJJwX3y///rXv158ppljIpAIJAKJQCKwaSDw+9//ftNoaLYyEUgEEoFEIBFIBDYCBJ785Cc/6EEPmlJRlO6UaBlnlREgOKFn/ed//ucbinDvbe/arFVvVdMzEUgE5kAgCfc5QFsiyde//vUlYmRwIpAIJAKJQCKQCAwg8Mtf/nIgJL0TgUQgEUgEEoFEIBFYbQSufe1r3/SmN13tUjdcebe5zW0e+9jH/s//+T83XBXWW8n3vve9/+zP/uwv/uIv1lvD1nZ7Eva13T/rv3ZJuC++j3/yk58sPtPMMRFIBBKBRCAR2AQQ+Nu//dtNoJXZxEQgEUgEEoFEIBFIBNYoAltf/lujlds4q7XTTjttnBXfuGudsG/c/bfx1/4KG38T1lwL/v3f/33N1SkrlAgkAolAIpAIbAwIfO1rX9sYqpl1TAQSgUQgEUgEEoFEIBFIBBKBRCARSAT6EUgN935clun79re/fZdddllmJpk8EUgEEoFEIBHY1BD4wAc+sKk1OdubCCQCiUAikAgkAusJgW9961v/9m//do1rXONmN7vZULt+9KMf/fa3v73Sla50q1vdSpxf/OIXTOrd4AY3uM51ruPxX/7lX84777xvfvObl1566dWudjUGbRgfZ4J8KLfw/9WvfnX++edL5XLOKH3bbbftNYZDv+GKV7zirW9960hIZdARQzdM3uIWt2BJxmWeymVI58Y3vnFEaKr3s5/97CMf+YiT/eopzv3vf38JS93+4z/+49Of/vRFF10kk6te9aqbb775/e53vxve8IYlQuP4z//8z6985St/9Vd/JT7crnvd697lLnehZH+Vq1ylifm73/1OJeUZtlmUfu65515yySWgu/rVr+6W13vc4x612ZaILxOp/P3Xf/3XotjBwMs1r3nNJv/6UbYaAr1eu/zqqZfFH4oAUh0hgub/4R/+oQqozI1udKM//uM/nqNWrL0bDwBXpT/5kz+5/e1vz1hKF5+6/o276UGhfMBuqDAfVEf+wQ9+8KlPfSoqrLbsC93nPvcxGOo4jdtI1uNf/epXjcBrXetaMNl+++2HLkr9r//6rzDCbOQb/01W8ahnNbnMjiaOfvziF7944YUXGqgAMWVcVqySBkYTs4Y9gtxG+0//9E+l92cF1lj9m7/5m89//vPGqobIx+DfbLPNZA4Ek/qP/uiPlpynTSU9gu5zn/vc3/3d37ljVv/C/J73vCfwuzGn92M3bfqsPgJ/sPpFbgolPv3pT3/d6163KbQ025gIJAKJQCKQCCwQgS233PLiiy9eYIZNVrvuuusZZ5zReOZjIpAIJAKJQCKQCMyNwB/8wUqxCihUBNncFVt+wkc84hE4u4MOOmjnnXeenttb3/rWV73qVejCt7zlLajAbkI032677YY3fMYznvH4xz9ehBNOOOGNb3zjM5/5zMc97nGUD175ylf++te/bhKi9p73vOfh4xp/j2jHN73pTSeffLI8m1BNOPDAA/HRtf8d73hH7CTekOeHPvSh17zmNXGDjuthn/KUp6g2NmOHHXY48sgjI1Wp3u67765p9AuxjXWGj370o5///Odf4QpXwDI/5znP+fGPf1yHgkLTNLn2DLf4L37xi7vX4CHoX/jCF9797nevkyAlMS0Izfe85z0Y3he96EX44joC90Mf+lD3owYZHfGbCPF41FFHPfCBD+wNCs+9996bzEBx++yzTzfaZz7zGX3H/2lPe9oTnvCEbgSMMDCJPT7xiU9c+cpX3nfffaF9yCGHPOpRj5pSqz322AMJe/TRR0NAMz/2sY81RRBLaALJROM/9Fh60AC77LLLXvayl2HwoxM1M1Khy5X40Y9+tMnEUHnqU5+65557Nv7xaF39hje84fe//30dqse11MAjljBmkO9EIxEBmX63u92NGzK9nLIgs15y6MG5zpb74x//+Cte8Qp8d+OP6DfwHvzgB9f+NezhvxxgjdIjjjiCJKYugtuQM1ZJjA444ABc+dve9rYmwsij8W+WdS1qEtLoKUPL4KmTT+nHOn66l0Rg5b5fiu4XKC1Zp4wwjoBvZBLu4xBlaCKQCCQCiUAi0EVgRdn2bnHpkwgkAolAIpAIJAKJwGIRQOp9+ctfpiaMqX/HO97RaFJTYuWPGcel7rXXXk3Rp5xyymtf+9pb3vKW+++/Py0EmsWYd+wtf6wr+vLNb34zsrVOhW1HdgvFzWFFH/CAB2Cr//Ef//ELX/gCCv6ss8763ve+hxKlKV+nCvepp56KbeemJozI9uvGqX0OP/xwhKxSQmmdsjbaVObvfve7VRVHr0UUnPG2t73tbZGGP/3pT1Xgfe97H5KUfjeN+zo3ysIIaxrHdO3Ri9qLqEW2vve978XPYrRxyppTJwk3shi7itxE6UqLbFXQBz/4wTPPPPOcc86BA2pbTCXStOD4+c9/rp6iFUKWLCeyGvp73/veFxON8O0l3D/72c9GQo5ewl3vi0APvSFMeU6vlZ594hOfqPu0grjFYQLDRq0IVyhT77fffkbXyCmK3qZRkZan5KQjoCt66Fh4/sA3EgiBttlmG+MWbghuDPKrX/1q+tfGbZMn4v6d73yn0xKspet9NTS8v/3tb+txfUFZXiWbJMt5DFGQHPQOSZLTDOCFDwGMAUPQYkBOsds+B7AXXHABodE///M/3/nOd2bNAnSKJo07++yzDTlnPmaSyQUIZuiznvUseW6xxRa6mHDOJJWV4a1nTzzxRAcyTJyu5r7kQ/24HHgz7cIRSMJ94ZD+7wy9WVYk38w0EUgEEoFEIBFYvwhQmFq/jcuWJQKJQCKQCCQCicCmggCtbcQfjvLQQw8NRru0/JhjjkERXu9613vJS17SKFeiO7HG6Dw8Mj40klBpx4M/5CEPoWVM6xmVjOAuuXEgzbHt6NHXv/71aO6SiqUL/DIlX/qzaDs1qVNx4xDVDbmvuL/8y79sQruPn/zkJynkYnsx4xEa5CyWEPGKlsU+ow5Vr1g7EUFkdVNJKvw14f6b3/wGaY5tf9jDHqZuSNvIEzJ3vetdQ7ObP1ad4Y66Mijdl7/85XTq6fsXlKIgTRaE7UUZ3+QmN/GoCGkxmwh3ceKxzm3Ivd122wENdJTou4rYtNT1HRkDTREN0cAmn1DNxgs3/h6n1wrrivImawm7Q5EVUpt9IWrjjhGcdNJJRlq3iBEfoDFNQ4pAalJXG9SGH7SPP/740l6IGVGOAtDWVxmM8IMe9KCSOa4Z244Opmxa69rrL+iRmtAH97fEX6YD9a8gPS7buhrkT1tttZVhpr8cDaE+v6QQYlZgsdvPfe5zMePGFRFCmbbGqoljrL7gBS9oznws2VgiIvNOnl4UhmUZ/5qjLSbFk570JMOM7ErXdHMb6sduzPTZgAj8n5f4BqzBei06WYP12rPZrkQgEUgEEoEVQiANuK8QsJltIpAIJAKJQCKQCMyNAHXgL034ffe73y1FoDJx0Eg0ms4szBR/erjoYP544a5d7Pe///3Mc2PfCo9cEjKvQcuYZZjgjos/MyCIbI/o+8K2l1DVYAGGFXKF4sqLfziOPfZYPCk+dwrbLgmT34jXwraX3Fj/0BbUOWsbyMHCtpcIYY1EBWoLMBR42eCWGxFCYRtLEoSjVMyPaHXxDAcxBqKzZttLBFrG9OtRnwzOFM/5HE4JYJ9lhfRscqBeiS1l7B6fzqi3HmkiYK6x4ZholuiboJkeAX7YYYfVbHsk162kL9yhRz89T7DIE6RM5dRsO9P/LKIYJwQwhW0v2aqA0eURnc14ffjrGkOLGxNds+0llVGhBw284rMcBylL1MG5h5ptL3kyWGQYqx7N+uI55JgV2OOOO45Yhda/0gvbXjInkHCo5a//+q+LzxQHSzLs8LDVbiR3xz/lfSddvAcA6LhMk+FQPzbR8nGDI5CE+0p1wemnn75SWWe+iUAikAgkAonAekSga6FyPbYy25QIJAKJQCKQCCQCGxMCdOlY21jy1yieo87DngZeOyzmYWkp52o5/zvc4Q69EDCh3mX0IibVV3rN3NSKS1oaxMyMUAnH3BXP2oGbxgbyYfWl9qdaS5BAf9Y1j7X/iJsNjR133LEbgX/oFNOA7lUupqQfZnCYy4jkSidd4GZSgxmZbp58AE7MgFOmX9xEENSVSUQc6sYcrOQ3SeZ4DP30LncfFLwLWv1kW8zLlCIiidBeYyAl2pIOdksos/dGi2Zigbvg9MYPT6QwHe1unjGi8ONGS29ybaFFTrrjoEBEYFmI2SLdzbRLbxKeBrMeHAqdyZ82veIYAoop0Jv2MY95DP+u/KMbeSZglfvhD39YJmG1v5sbH2aFGFDqDer1JJwj4TCGse29EXiS6DzykY/kOO2005o4Q/3YRMvHDY5AEu4r1QWzChtXqh6ZbyKQCCQCiUAisDEg4NBuXNi1MVQ265gIJAKJQCKQCCQCmwoCjK7gXpf8dVW/MZiYyn//939n/BpZiVxjYxrdyb8XO0rHLET3BoUnwzIc6Db6xeGDtuOgDx6PvX+33357/nFFah2BVZauOnMdoXHT+KYE3XjGY/DpXRX7EjlubaWnHD5WfaBge2RI8CCaJKQIVMiZsC/5cCDo49bN2rO4aaZz//a3vy0+czvYqZcWbkWtO7IKhj04aOr8uqAxJxKEuwEzd9GRcEiIItRQCaP8M7WUaISt/KZWxpLzGzxd/tkE1Y/NKApem932IfmQtGQ5TM/XmcztpoMvLXlPVxm85MliPlsxTpYUnyHHTMBSMDeFmXXqHjUo+ZsXI3mWaMXBOhO3JAz6F8+uI+zRG4Flvkec3n7sJk+fDY5Avyxxg1drHVTA8RCScPbX1kFbsgmJQCKQCCQCicBKI+Bs9UoXkfknAolAIpAIJAKJQCIwKwL0TOe4EVEpuEgq7WHMHbvNoMoNbnADRreHOErM/lBQ1JldctriuHv3UlKA5fmNb3zD3zvd6U4RofcvKytUrenX09V1cWiJE1rS5XFJxzg5KDmT30tmEhG+/vWvc4xXWwQUJ+VikUPSEGnd8zmiTRxK5RjSiLycv9S30awM7runlH53ZEVmQOChpcQPOos1FYQ7azmUpiMCrXOXwaJEZ2Jge+upu3v9w1NLmfGZqaVkQl2RibEkE6bhr3/9648UF3RzdJxo4egKmZocnPNYiFUZRmDkPG77iPBjhBOvKzYTsG4qlnZEmBQ5m4+szNeljLgJnISON0eEW9ziFkRi3humeS2a6u3HkeIyaEMhkIT7CiLvuokk3FcQ38w6EUgEEoFEYB0hECeL11GDsimJQCKQCCQCiUAisKkjwLg5lVsmULBmVLOZcKkp7wYdZHrj031E2SPc/QThW9lm4TjggAO6MWufoGUvu+yyuvRxgrVOHu4lDaRgmbupen2i/myz7Lrrrr0RwvPXv/41B1PvdZzpNnDqVPO5aakj3GmsF8KdMjgbPmQVIRrBqiPc6bwXwp2bVr4IodQ/X7mRauEt7e3x6At/x/tCq9Wq9EWY4+/NsG6y4Vo/zuc2zuNsBNHRfDk0qWYCNgYhMU+TSfMYhzwaz6HHgHFKc8QBtZlbZ7Uk7HXkdG9ABJJwX0Hw3frtUumFvGJWsJaZdSKQCCQCiUAisKERoBLiZNiGrsVaKd/BZEZOra1porF9aSER56PXSv2yHmseAQfML730UkPoP/7jP3Arm222WRw8X/MVzwomAolAIrAOEWD9A9Xuhcxk84hqtpaPhwY0wRUG/1gstCxpshw7jA1HXNb4dm83rUNX1B01xyRa6owXpNqNPY3x+IsNRbi/6U1v+sxnPnPggQdGzmFPpmivczijSXLAindECHsyYY5msZVZfm69PR59QXKz5CjSF8W6TqRaUgYzE7U91MAyzpcsbiiH5fiHvaChmwZKztOlTZJEi6aAU8/3UlZvP5bQdKwdBJJwX8G+IEZ2ccrhhx++gmVk1olAIpAIJAKJwMaPwIte9KKNvxELaMFXv/pVd5rZqoXeUMmRJssDH/hA59k3Rin+XnvtRSvq1a9+9az6OMccc4xD3LQCt9122wLFGnHYcIYV1De+8Y3d09kbqpL2b+9617tcaOaocm1PFsVD846FX78pu7uh+lPy2nfffYdCe/2f+cxnFq3A3giL8kQTHHrooc74v+51r1tUnpnPchBYg3OEFuoHPvAB4kzMo7kQl9Etp42ZNhGYgoA383Of+1yUMa4Qp8n9tre9bUgIOkX5IOLEXZQlHyzwxsXBRc19SeNe2SlIbpA4TJSwteJ22R/+8IdxHyxuvTYiL5RU22eXqNt6AAUkAjvj7IlvkArPUWj0hQtvTz311OnJjUCL1SVH7JIRektsRCzl5lV2/1d/0UVgppKh595b2/Bslu4jMQVFi6bY3484U86+jJeYoRsEgSTcVxb2V77ylUm4ryzEmXsikAgkAonARo6AXYrNyUbeiOVWn4aXY+Yf+tCHIiPXiNFqp5tsa8EwKG1lu6B3vvOdT33qU/fYY484xbzcIlcrPSufqLdm7zSlcPtbNitn2sBMyXamOMDH5Npjh6ncktZp8TCbG4f0i/8GdHzsYx8jooibh9E67H5inw0VPpdccole8DOKDj744G222Wa+empstHp68iVVF6dnNR6T2qa6LXniezyTDF0gAmttjqA4TZBooHmxxRZbLLCxmVUiMIIAezJsktz85jcneH784x+Pt33p5b/eJD58vf7FkzD1xz/+scd43ZGh+uH0rROsHEq0te8Ia+/sAaz9qlJyP+200yhDWIDpPqbwXWxbKGD1p+T+/e9/3yWiLghlvd3K7a53vWttumeNt3G+vmBBxQrNaLTeGGkgxEZCh4KK4ZqI4ORHmDL/7ne/W5sy7yYXwRwhAhm5W7WbatwnDL9YEI5Hs8oaj1CHWuRTslHbcZ0SX1JDS8LrXe96dfJ0bywIJOG+sj1FoHfYYYcl576yKGfuiUAikAgkAhszArPqzG7Mbe2v+y9+8QtMug05nSm3v+y4446hRVViu57LmTlmQ23X8b+WFgvcSJRS0tFFAIt90kknPfaxj20I927MDeuDSX/Na16jDva9xhJKvbZLgIshyznxxBP/7u/+ji7hIYcc8ohHPGI5FaZFPsXwqCKSAV8Ozpl2UQgQ+L3+9a+Xm/HvqJDZYVIsKvPMJxEYQcChirPPPputCbQ7zt0FqgahF7KbNnvPWFgJIDFxi0N5Yv0wDKSqf/EXfxFxSI++/OUvOxA2QrgTSVo5iO++VgT9UOar6R9CL/T0eKEu+GHO5V73updTKeMxVy50u+22K4R7Y08mCkW4i6CeCPdPfepTPHH0K1efheds5WCIWos6ADRyLy6C+JRTTqHR/6xnPUsdrIvctmrswWekSiI0ocX0SrFO00Tw+LWvfa3xxLN/8pOfhP8I4U5+42piI1xfNMmX8xglaj6IhohvX5nzzz9/einytMKsLRH1pjWvTV7q7S7v7Y2QnmscgSus8fqtg+pRcl8HrcgmJAKJQCKQCCQCK4FAqrdbSbOaYo9tEf/2t7/dvWcN2w72O93pTkyIhmTinHPOefOb37wSfbFCeT7mMY9BWK/+EeAVas4azNbRh2Db9957b0OItlTNtquwzScpDmtF97jHPWhLYXxs4ZbTEKaNEO5TfmuE2VlOYzPtOkDAIQ8cJY1Cc4TxBALLWjt1HTQwm7A2EfjBD35Al13dfNlZJuHwEmZmjYPV71572V7R43fIv+9975McAV3k7vLkc9ZZZ/k79HNTjh/V7LXzTmbAxMIAw/vFL35xqNrQsOA577zzXDw7FGcV/LfcckvCY7IBxj2CcA/MS9HIU68URqvoVlOEd4ZmXG25JFwjDgx4GH8bH0VnnnmmvigG6wxC9f/IRz7CUNJQQzDUXRqambtYExqQvQkV8dGPfrQJYlmRj/Fv2dwElceQdlgzl9lRgpbjIMq6/e1v7w4GigtD+bz1rW/9zW9+MxTa9Wfin5KNQdUVLdSRZevRcAJa7Z/ujQWB7LYV76lQcl/xYrKARCARSAQSgURgI0Qg1dtpvTlCTp2NJvXmm28+0od4eceZRbDijxPlI5HXTtBznvOc5z//+SP6emunqhtjTZxHftWrXqXm++yzD8XJkU2m/a2Yd7vb3VAYbk3wd2Nsb9Y5EZgDAaSPVCOam3PkmUkSgXEEaLz6/OEi2fJ2rqJEftrTnoafFcqYe/ekBTvsKOYhQyvf+ta33vve98rKYbiSIdVvQlZi1A9/+MPFs3YohcyeD+Xf2n/DutU5zlq94hWvcNFLb2U09ic/+QlR2d3vfvfeCNM9g6+czwpcEOjS0rB24lB9yvGCqADmdOutt3ZR+bnnnmtFh5xlbmVK3ZZTqyn5T49DMUJk9O6QUSPK7AYYKMjvI1uEO233X/3qVyNaIARLvcsS98rIBJ69NaRZQljVBDk0QMyvOAOmCYpH4pC3vOUt3CtxGOLJT36ynN/znvf0yiQoqrvR57a3vW1vxXo9Kdk8+MEPFkQHYkhiYTgRIXgnxKVBvfmk5xpHIAn31eigI488cuiruRrFZxmJQCKQCCQCicCaRIA27iZuvZ2Cv32FzmFZ+yY3ucmSvfT0pz/dGh1V+o53vGPJyBlhU0CAWWpUhZPdLMks2V5abC95yUvYIrCjDkWwJZNkhERgHSAQhgt6eZ910LpswtpEIHTYfbKba+GRswTtVLaZZsYSNJW/z33ug1/D7nUtXzsJ94xnPAPtyxZN2LiItMxNIPG5FdRlMLGQBx54INr6lre85UMf+tCmuA37SI3AbeqYXCcA4mbIuj7aEvcuuHx7+ZM3VKrZVZvvYpgwEXP88cf74DIgU9cz3KHzHvLv6fZkllmrbjXm9sGekwxhfq0lumQ3n/3339/YI7MppzBJC9xVrkT6Ik7aNUUTKTne4Rb3XrJ4++23F18qdlqahBdeeOFRRx3VTWUMyND0oeQO58YcjRtNzQ6yVcshhn2aPJf/SKDiAgb5MBb9ghe8wOpdA+m8m5UqAxwmX7p1Hi/32c9+NuENI1FM9HRvZHUkhQFAOZgmI9aixovI0A2OwJU2eA02hQp4N1E7+uAHP7gpNDbbmAgkAolAIpAITETACnVizPUajeltTXO51rgFzNJ8+3AWWmz5HGqmOlf8i8MdlSxXuriJphVe1VKeOW8HtykllTjhcGI37ndyzt0GhqfT0MzEO9+NlpXwLy//NanKI405BV188cUutiIAcOMWlS6HXtWwxAmHqyxFYCG0GySCs7TaolB7J4UiESiyLXlyVoZf+cpXVNg1cRJSJWMP13aoW4Tdl1tDmUCJO8GUyEdaW+7Q52pqG4+Rijuu7RK5nPktcDUJZ0JPWtvaz3/+83Tl9BT81VDDnVvv9lRTUP1on3bBBRfwMRgm8hFw2GGHHexXHQxfnTPvVDKjc7FCdeUbN+sKtq92lde85jVLEB8yOTtbnYjmcGafEWRDevyKtpJ8igPnpe8cFHDNnY6Aj+066qFreKEZS+oGQ11gELJSQvNOql4rq3MndEwWzYGRkXm0RSXpscoQ44PIKw0EDrMMeAoj1tRm/cCdfl4sjXGhEj8cVAVZP9AEI1wqV/wB1qgY182sXzLeFYau2aesJYfurHOkqW3ziKYxNtBn3kWG1m1ucxuYNCdpUHihrYltlByeZSIPvZGaUvIxEQgEmO3y5Z2ChungthW6wF6zJgWKsGsOBcscxtxZePelrRVyvUyw8KhDzCZSkqEPo9pINrtZfjfTfekOOuigpia77767oc5uGObaG9KKwvvBV8aAJ9Q3070TkNcmbJNwwz56ub32ta/F8JrLtN3hQEfYW8u8JhL2xlA9JOYDHvCA5deTTroviFfonnvu6aSXDIkffHMn5uyN6g3p3St+Y08mcgjPiDBxRSfhMms1sfITo7HvT3Lj1Wp1ZJ3gre5zjAg29tiNMfaAENbbS4bG5wtf+EKDnAzJmGf1hc67geezYrjqxwc96EGOZnYtsehrw5WxL2a+KHqbNeD1cTESlCVb51/Ziy8FhcPXmXq7oyE08Y2QhzzkIQA0y4xzuUluGSnCkh+jJtuJj2alFYLrQLTUTyoF+XRy3PGOdzTrrejCc2KGxr/7mYx/1+0a/5pjue4NYElMUBGmlrCIT3jCEyZmmNHWIAJJuK9Sp3jjEFIx1bRK5WUxiUAikAgkAonA2kaA+Qsk2tqu48rWzhY6lNF22mmn6SU9/OEPxy5Z5SOda2KadP/kk092nNZWp84tTrnSx4kLykqQvZMtukfLenYnbWAQoyWUwwl0extbdIRa7c/tlLdNcmOt0nkFPB3dH7v9Or7dMr6VUdpCGkYodoC2tY1cHZkb5cp/ZBtsI2dbGNKCkvb000+30bLxaw6eqyoE6MepBmrbnrBYIB0h3LWl3um52MovyuJo6Eh6iDOhJx+ZHH300cHmlyYA3J7NvXZFfawEDTnieASqcQSublosg5HTtKIbbVE+2mUNjDkC/lCeCF8mFyiLWTAXwl3rKI511b4wX0hhY2CZZri9f9AEvZr+dv46ohFI1GMJTeaWpqZuJgXFuuc973mNaGHuhIRVVNvwOG6pNcHt843MmOBQLYQ7eFEMeP8aXjf4odiQI3iT2j/cpuRxxx33tre9TbZNqJFph/+Upzyl8fc49JKh3kjSoEeGDtTPMUe6pRcfbwCMJDFM8QkHns40x00UVpEEEf9YoiFl4qXHp/tGKtHSkQh0ESBg8+v6d30YmDbgfcUEmb+YxG4cPuY1Y+4+NJR5TZzaRAk6OO7Bpq5Xa+xh4mRokJcRXnK2JPD5w9aZ13jqoKojlCwWDUqXdtXe+aVWUxxk2GeccQay0nus/uxK65vuVB/Gdko+S8Yhjyfk8M4nfkPOio8+nv7pBKPDB94b8iEj6Rbnta8fvWSstaZbr1pmrbrVWI6Pjy9m3Ptcj7jp16/kdvWrX52g4klPelJ37IXOu7UiVQa/ksQHiP670xi9Jtflg2u2YmThnZEWv0jos46C9wEKRZCSW3FQw/fl8v2lshBXYUeQVY2PHeWDRuxaEi7EsdtuuynFEs5NsLGFsWT13TedzUHSX6V0pfUjRVvvaY6GQADsdUzHXm2UFiJtqrNN9yoj0Ko7rXLxm1RxXjoh89ykWp2NTQQSgUQgEUgEugjgSmx1ulxPN+ZifXbddddmRbvY/GfKDdOHCLbroOLdVc2eKSvsOZU3+xa5IS4J+O33Qp3TUt4OEBWFkrMlKNniDkLJi6IQnSbq8Kgo20gsHvaT3qtNlxyYlYdYXT20/rHHHis+XXsFoeOpjFEQRhAoyB7JJqqmGGgqdQl38e3cqN3FIVyK7agEuxfKTahz2zPcpZpDxonaRz3qUaXaLphSWxEYAMU72C0rkZIyTpOxSzsu5EW9PznhhBOCcLdHQlVg+cWxw7cqU0TJtnFofmiO2z1qlJP4pUW0ruw850ZPQdpla8oBPbZQ8SzwoVOGIVWWvSJzqL2K0k0lPepr5KOtaVgX7UZYrA8JQZzUfte73jV+30Bdrj5FmhiBRB2gq4OK27lydLyhorPCM3x0ls28vqM0x22E6BcjkCKbwYyGLjl4pRgPutUwKJ4jDuIianfGQ4xA5zNwDXbLFO1xMU5voFd0RG23oYwlGm0Gj1HBjLIRSH0V804ZDVuE9bZ/lrDmtuZOiC8Owp3ggVAnrp6Tv9mNPguGjowtcDCcqMjxVD2H3BFDISUyNrrsOVYCvaXJzshTmIWbtzEeShKdS/IRMqoawPolQ0aoOJ3C06CNue+dEFK6SLWcOVKX27hpApIikDpgtbzPiz6g0cXQlvoQuXnXqYyETFUEj+MVgZ2hVlxMPeDlV5SXaaq97h+RTSvURodadN8KZb6mso0XhVlM2hcVQ9ybX94qKDy8ng90/S3urTxJvK+Jke877q3rXUGO24gAexNucE/rASSmxprdXqo+8ea41/5iK+b1SO3aosUbHjgzcaOLrUmd21qrlS7w9fFFAJS12WabbeZTuCRWRp2xpx8NPN1n4AG5bmavWymObVldGNu+KZYBSuyN2Xgi1lTSqgB6Fq4WaUUI3cRctceQkznfQB4wa6HW2xRQ6LZb38b4J79ZuffqrNVb3/ET5/XTvyS03gj5SwQSgUQgEUgENnEE8Dsb5OuOoFk7yKPJ7GGwhMuvEn1PWVHIpaXe5IY7o7IqFL3OPEUJtaHi6acCmEeMYQkKBxVyGxgRMHclyB6ep32UDVLxLA66Y+Ljx4sPB46AJ+KgeCo6TNAizhBkxT8cdmvoPEsmjLyErqgqEdCsaD6e1Kbwg8U/HOqpYg5BY1FLEPZffEwoYvFOd7oTzGVSQpd0RB+Bt4k5H3oygZtKqhIJQZOnnqLtJQiAXViayB6xw5EVJrEbuhI+draq52dfPT1/7aLeLhV1uaFUBqEI1MYjgo20fuTj+EU3CTbZnlxoPQiJRviQB3Tj9/rEpFCuruxGIOaRG566DoqxhAszBVhn1q46lNuZFVKrBSa0/ZYbcQVbFhxI9noKKxE/zt/ApgbbVMbjRz/6UUEiNKFQ5UlP0N3L3VTmkVDnVBpkRl4yJqO6SeX8TRm6c8+RbpWKD2oGn64gcrXuG4CwBNMh1DwqScJhaPH3Smn883FRCKzcBx3hvqhKrvF84g3DDvsar2dWLxHYBBHwtWVGhgRipO0OVPnQkJyNxMmgNYjAyn2/5LxgmeGK1nUdZO6cLKWwddCQbEIikAgkAolAIjA3Asw1Yu7mTr5uEgYINHqW2SK6vWeeeSYFDVq3XdvWFMRos8ZdWHHIvSkOeUohlA2Nxp+hkjAsG3q1EUrBHM9F78ymoonvEYFOhRkf2linaWJSRKWxSF8Pa9Y9nkztFM1NATnsV9ZpHXamBkWnGB/a1ZxSW0ee6dU6nF6n4qaxjpDlj7ssFkuaOPM9zoSeIuhx22yoJ5FDU6KeYhOAqjUAaRk3od1HkglZ8V/+EOpmPu5D6ZJm2ZK/ONmpXTGQLIN7s6XSpXcotRW7t7TUQz+6MeoSyWnbRczuCOnNv+tJCTQMNdDjpovXjcCmCk8NNNqbUHy0PjKnuqqXzsIbY6YALWyk9qISMoXkGArrE+ZpbW6IxCVmNMOyvVYXHPXQQNUw0dAEpT5hKIBsoPeiZp1FIErJTi+XJPGS0eTel4zJSA7BHC25mlMpJVU4Zp0jTfL6EelPDZCtdnZ7um8A2v2qp5JsZ1OVrROmOxFIBBKBRCARmBsBNPrzn//87pe9ZGh16mycR+oCxTMdiUAS7qs9BiiAWLOudqlZXiKQCCQCiUAisDYQIHge4t3WRgVXrxZUrRXWZbpnrQEyThLn0FlXGEob/BQCsTF9Lj596qFzuGEPnfmXki0alDvsVBbP4nDimMUGNjrGbegRD0jinqherlMQvg8lXbINB4VZXCc3Wn/IuCf7G0hPtnqaCrjJioa7Oy2bPJf/OBN6xBUswOAladr2Fo1DjJuEpxDuxYb+yBBCytsEDv2YsumtxpKedDBBveSvbE0pPssTP64m3czj8jHK6eXEOpREY3WqGzl8mALg6M1tKEnt//Of/9zsM4pQ57V/cUf+2PYCcgnioPk+dACZJZmwEs4kTp0k3PMlZMmd9Aur3mSIN9cKFHyU2ITGI4Oz5iO2HQddIgS89PSLT+NgOplPDW+8ZPTj0EvGqGb5RyrChia3meZIk7Z+9CJimRqf7m1W+9du106EKIuBpto/3YlAIpAIJAKJwNwIOKgnLWPrvQpDVlOkzv6ypdOrjzJ3uZlwY0fgSht7Aza6+lu7Ow2Nc+9eQbbRtSUrnAgkAolAIpAIzIQAq8EEzzMlWceRmaTQuq6e7ExNtr4PldKRK0BlaNVByR0Bioymn14XQV20fqzdwbvVnCO71SJQwWbnmnHtOnK4GXPoetY+dGBpNKPaizpzHVrc1Gzr67D4WzvhDenFj2xmKBdrDgIXt/uQhzyk5EaPnvGQ8rhAx0zoxUV21oFDpsxVjJUY8gaWQ5DC42vFGD+SjAwhVCx7tUPtZXF7hHUdSsWfeaKRJpSEOivcdPBZFmIghZETFHCJEI4g3EMLPnzokVEhDzPcTeR4ZAuFY26BAVveDj0gzYd488i/twgnJEYkAZIYeCzRk/GQTtUipbkTypPGfbeqcfTENOzqeksSP2NDBPZzRGY5KjxDGDDUg8ZVjJkC78SXDBEabr17k+1Mc+T/Vrznf1wxLbcQh/TEuNyLQSp2qNhZavAfip/+iUAikAgkAonAOAI+oLYwjm+6u4WbgNlSzXeZAooFp/OX1Fl88akjjOeToZsaAkm4b4AeJxaz9u2euNwAVckiE4FEIBFIBBKB1UIAgciEetdEw2qVv+bKCcXkms6eo4rMNVD9pl7qItDx5E65Ity7x+x6zUpEVsF41l3GmgdNZLYsmWtH4VnPuHGxZhXH6yCUuq6/ajueCiWKbjZmSoahm88mdfHpdcgZgStyTbizQgOi3vjL9JwJvelNsFYUeZxwL4rthlCX5Yx20W7ubTgz94ZN3XbqzKxv1z7hZunF/V2NP7HZ9EtTI60TGAh3p1sawt0AprkMxrpni6p7Uy7mV80Rr27IbIJmesRQ98IiE7cUGKKNsKfOnMypy33XEbTFFYXOFmgahesSNHdCmvjEFSWf4mCHh7s3qMThiOPt7rJjSCdkM0NtZ0ZGX7z97W9vNPjiJUNgMP6SMU66Q0UFZpojdc0bd7y7lmwvs1rMUkU/jgjnmszzMRFIBBKBRCARGELAeth16Ja+9AZec/nPp5lnMddGQ8XlLuNfyaHM038dI5CE+4bp3M997nP3uMc9knPfMOhnqYlAIpAIJAKrjgDmFOnZ8DirXou1VSBWSIUuvfTSWatFoYbx7qtc5SqW+2H2gSrxOAmoiFA3rs1ERLlD5OZQrY444ggKy6effrrFjJ862GAwNOHHBE1hgYeSI8IE4dOHIhT/hnDHYApSIrFNidN1uP2VZ9PMKcV1s5riMxN60QR65W9729tGMv/pT3/abUI3fowf/obQkM7vcccd103IhxZwY2efmY5es9c77rjjwQcf3JvJTJ5sDbFfT4pAed8tiCVtGJh66EMfWnyKwyC/5JJLqIr7y+i/gxExeESgWbaQlwlZBd20iy++GNFMq51md6h1DxlZUjQyvdRwyGHo6uvo7hJnOQlN9pJPOJDjYdnppje9aRPUPMbEJ01xp2s9PfnAFmuPTyfGAC/z6NI6DhKEdcknZhPefMmXTElSO2aaI3XCxh3VWLK9UoljqLB93+SQj4nAWkbAqS+zNSbsWq5n1i0R2DQRIKu2jHnCE57gmhkybIsQB8LcHUITxbE/87d7KdGmCVS2ukYgCfcajVV12zG6NS6ubFrVgrOwRCARSAQSgURg1RFItr0LObvMPGvN026crg81Vct66sms4bOuEKTbFEqLqrLcIn432+k+NNPZGcfYOl3LQI36u1zRz1WoNhsPfOADn/vc5w4pXJcKjFgLKTVpGhU1x6OF7fsSretQjbA1X4K6fGUJWk1HNAGzuSRxqQlL9hSTIIhFVCnNX4ZoZmpIiCXqJEyB43Brn3CHWaGu/6w+ho0j2Mz3Y9j33XffSI5SpyzGXR9HiCAGyhlmgZVHcJEo0BbH1PsxvO6MhdCIOd9fVv7dQUpZPg5wANOeWc7yp7xPjXqbbbbpzXn8ZEYkiaHb9ODcCXtHb8l8yalkLJGKaaYkQbij2t3/5p6AUM0TwUDSXmPAkQhtb6QvUVYzH3vBWVHP6dXoxX9F65aZJwLLR8AhGL/l55M5JAKJwMohYIXgt3L5Z87rDIEk3Ddkh9pyJOe+ITsgy04EEoFEIBFYeQTotrM6shB11JWv7KqWEOazsZwXXXTRuFXoulpUfcMYSBxcDWqb7modp9cdcaao2fYmbzzp8LIP7kfBh4as60CR7+5LPOecc+jMnnzyyUMFheXo0KVt8mwemzghMGCKfb/99mtibiyP0QSSEjNiIXU2bBDuTMPPZKGe5nVzqazKHHLIIQup0kgmbrNsCHfDhlK5idBo6J966qlObMuKSEkqERorKAj3kYKWDCK2gZhXE1VuY9ipU3ZIlpSCRLbNsOwtK+I0Yqe5E/YWUTJHmjfgNPEJn0KoUI5EsAjklC0WntjMjQLEDDj3JlX9OP0lU6dauHt6NRb7rlt4QzLDRCARSAQSgUQgEdgUELjCptDItdxGnLtV/lquYdYtEUgEEoFEIBGYG4GwJMOIxNw5rOOEzFagujSQqun0Zob1ahqpYfUizHxjXWtL6725MZrBf8RWRm+qJT2Zw771rW+98847v+ENb2BnBs+uMjjloYSMgQgql1IOReMvnzr0Ote5jkcjqvbcuNwLb8IDHvAACDCK4ira6VCQi0yPvMCYxgkpEYM5YXxczmFPpr4ulSft+7CE85KXvMRA2nbbbbuE8pKjfbzaBEIGkiMm73//+/fee29apQ3bPpJ/Myy7BVHbj+EdQ/3/b++8w60qzr6d1/CmXBpDEg0komjErqjYwa5gwS6KNEGKAlIEFBRFAQUbioCKBUFQwIa9YEGjxkpsYEFMFMUSNfjaSDFfku/+eL5rMu+sstdeZ+999j7nt/8416zpc69Z++z1m2eecRlyF3Q1+AHs5U1At+faTwrCrIcRg227mdhzWixqO+I1W1KwZGcxI6q2B8PP+CWDBfof/vCHgsMMupf90jZbFBwve4BYlaTakn/XZe+qcoqACIiACIiACIiABPf6nwP4lkFzr+kXyPqHqB6IgAiIgAhUHwE8XciTTPpt6dGjBxkw18UlS3pOS0XSuuOOOwjjucVicAGBlIbNe6wDbr9OOzmm4JGDfpFoGLvjCy+8MGofbTm32WabUaNGEcbaPVrWYuwYyXfffTfq1cQvgqwWZNh6663JgE20ny0aRkI9/fTTcUgSTar3GBsCGxrSe3L55ZczhCxTAreh5oIgZYUj2hb249HIysRwdCoNmc6OqotXIrx/YGTtt/773/+eJNR5toH68X4Yu3j/stgwewIocsopp0SlfKsqpX6mrnMlH9vu22+/jTE7nl5w7epnyF3Qr8QP24mgvEf4kdGwZdh1110tycbOjQi65xcM3krclwy3xs8WhFkLPO644y655JIgvlSXGcfL88W2IVb+6HapmlY9IiACIiACIiACIlAsAQnuxRIrS35+CiNJIEyUpXZVKgIiIAIiIAIVJzB//nz8XciTTDp4rHcxcsckc+zYsbEetIPiV111FUjxTIIvCEvCMtfMnLEuDzL7l2+99ZaJZbToxxcbfuGFF/AKkvKLxTTlFBc3mJ1i5owjGpzPpLQetfrnUFbkUZx6Y9CdVBCSM2bMQPhr2rRpUp56jLdNjajMKXwwAOdW/va3v814dN5pp53GiB5//PGMxwLNmTOH41LNuU3lURx66KF4JOfAMST15557jjWV9u3bB87BzUd/inkyy04FVeb0oRVsgnuUVANzjEWdpFTi77rrLv7uvffebP7ws+Uu6Ffih23VjeZSvjpgtWDBAkpx8IOVLTh2jpANTnJ2XzJz5871OxCEsZ0nxjxlBUkluWRhBjc4LLmlr0XddNNNNMcX3Vpr6T23JOBViQiIgAiIgAiIQB4C+iGSh1o5yvD+jDBRlIFSObqhOkVABERABESg7gS6devWtWtXNLW6V9Wwa0ASmjhxIm7NccUwaNCgdC/PuIAwwWvAgAG+h3ScUOMUAgN2O38ySgwnzuPHjyced9gpOma0YDTGnI+bhBdNJQbzXv5usMEGsakWydwggDL+5z//OTYbywMY8geHTHJp9tGcdcmpj7EF77zzzg8//BDXE+3atYvNUGykaXb/+Mc/ii0Ymx/rftyYoIGag/LYPNOmTcMnCYso6667bmyGIJI7YjxZsyno2RzD/ylTpnDCKnJwUE9lLhkUyi86O2r7Qw89RKOHH3540LR5SmEisSoTJNklOwAKHpwbW9BFWhNMMxfjB/DPM3PmTD/GD7NgwNQNbMBdBhYzmIRcdunSxUVaIHfBoB53ecABB+BaatWqVZMnT3aRQYAkXjGw9SazJaWPncnJFpagEi7dl4ztTohm4PBkVikQxFlTiaaWJIbvLtv0cP7559s5FtFqWcthew2oizrVIFqPYkRABERABERABESgjgQkuNcRYCmLI0wMHTo0Zf9sKRtTXSIgAiIgAiJQBgLoUJtsssm8efPKUHfDrJLjIllux6UynhCOPfZYNNOozogwjZx68cUXg4DfCYhfPgtEN34/EMO5l1HJFWly2LBhy5YtQ6O3bH7ZYsO4jED4xgk4Ql60n3iLNocSRx55ZErNaKwYGXz99dennnpq1DsNBrbEIwtGlbt+/fo1a9aMVoYPHx41En/iiScuvfRS2sXoOzAuTulMepK5HIFeerbsqaNHj0bER5Nls0IAEAtofJezaoI3koEDB2avk/t7yCGH8DNy5MiR5557bmCebPWwM4Dpcd555yF54xs9o5qfvQ/Zc9qqCQsq3C8mPzMhKEsMgimjgAZrD34qMiudZ72HJT3iUxy/+KWiYVs3uuaaa6IOx19++WWmGc6RzFdPtIl9992X7uGOJuo3H6cxQ4YM4UawsmX+T/ymcxf0K/HDTPIJEyagcQOTdZRggZNLFm/YKcJ8Y9Y5R+02dqZZ1O8T394s5vFIMp1oyB+7+5JhCtlKid8TVkeYhNws1n7quKTnVxsNc9wry2nWXOByiswo/nb2L3cw4waRaBOKEQEREAEREAEREIGSEGhSklpUSQkJYDnCT1WkisCjZQmbUFUiIAIiIAIiUA4CCMcIIoHuU46GGlidbdq0wWb2rLPO4qw/NFN8srdt25aDCgmgSps3GDOyxud7rGiO/ohf6RtuuIHiuHTgJwSyFMaq+F64//77SeKSQ02psI7oqOecc85B1cIzCYId6n+rVq1Q9JDqsFnGpwSi21577XXiiSemNISHCnR5pD3MgVljOOyww1AncXKCKS52+nhTYfmBuYSxalAJ8jfCIgXxKIJuy2GbCKMsAKAM0hlzTo1lq/nYCcrmu8QYnILcgl69euFVHMt6hEVT4fNViJH7uHHjUC2544yUsbds2RIgaLX4hMFzPfopmx5atGiRvX6KILxya7gpOOrhg/sdfPust956VMLd55DSN998k1tDtRjXI3PXUXAHstn+F+xk3759A1tjnInTAXM/wtILYw8qYZYiZyMW33jjjbgw4i6zYYLNH9hQ8yOZ4XDUJ87r2e1B6jHHHMOBvccff3xQSfolXVq4cCHKMgtInTp1AhdubXDm8/TTT7OYxJLhRRddxPoW85O1H6RbNpe4Cpmo3CCEdQoedNBBDIfFIZZ/Fi9eTPeYISjadpKBK2KB3AWDevxLphMbPnjqYcUCBtMJY3Y3nfg+4elgLP6qBo8nXy88LKxLYfaOmyPO8sVMHpdTPHHo8qxDMHBUdb4xcFXE9xJ8aNR9ySDfs+bBlwz3kS8ZHnymLl/7DJxtOn73Sh7m0aNXfANwm/gGYLz0DbCsJ9FVczbVp08fZl3Jm1aFIiACIiACIiACIlAUAQnuReGqUGZeOPFoiWEXb868b1eoVTUjAiIgAiIgAnkJ4NQbo+YVK1bkraCxl8OtOb7RkbEwVsW9TGBDioKGwnjyySeb/hsLC6mL82CQUxHO+Lg8qLHIUohryGousi4BasMy4LLLLkOVu/rqq/2q1l9/fYRp/MsXNDDH3B6vHUh7jBo10wmajBSXI2bHGhXcaQtQKK3Y12PNisjot47iDISoXbyfp9gwgibiL6eMolnzoTi253UR3KkBgAjf6KQshwS+ZbiDiKesIhTbT7gNHjwYbfraa69Fy2aXAB+/EkRhVGmEZnOYXsellxSn4X6jhKPOf+gq3xXIpqRG/clY8d69e9NPZhdLHXxcndxilmr4kUxM//79b731VszM0XxdhowBm374WUKi9bfjMG9xjI6gDx/qR4Jnc8PKlSuDankYmRLcO4RmPi4V5RfbaiA7c3KXZIHcBYN6/Mt99tmHIfA8InyzbcJPYiWP03fxYuRHEmbukf/uu+/mtAM+LpXpd/bZZ2PazyoaijYVspuEjRcug/uS4YhmPi6egZvMzbeNiyxTgAUqxsvcoP+BT3keK56CEq63lWkIqlYEREAEREAERKAxEAiNShrDmGtojPxsxYoES6ga6rO6KgIiIAIi0KgIYNqMPOqLVtU8fDweBBpNFfYWa03skbE5xWwWW2+cqCCcZVdI0chQcr/44gvUQxQojFvLdIIo5tg0RD+R5NBz0emwqs5o+OywI91ip8yQkU0xMsBeGDXfpaYEGCCSH45HcDPCADE/z9F6Sv1+EtsL6CGu8PElgr1zweUEv2xKGLEYEZ+BYHuONTpyJ2JiSv6MSfSWarH6p2bsjnPfmozNlS8bU4KlI5bxUO2RyDE854Rh9PoStkjluHJiDqPvM/HYHQKupPpZH2I9A8NqNihYHu4gjwCTkOJMjF122YUZEi2eu2C0qpQYDPbBhdUOrooYC6zS3aqYVTsTm2eW1ThMxbNPP/clw9ICpfiS4SCKlL6VI4lND+wqoP98h9g3ACtVpZ0e5eh2Q62zfOQ33nhj9mo0VG41NC5MAXBZxncF249qqNvqarEEdKOLJebnZ28cP8BYeufgbj9e4WomUL7/X4y67GYI1Uy2+vvGaxLWNxihoGVIdq/++6UeioAIiECjImBSOxbK8iFT2vuOowY+uevcbM0nd/HsBTdd88mePzYntrH5XktQYM3SObba0kaaqljaOqkNpZJPyaultwjHJa+28hWiYuP/hE/5mkbL45O7/tx3MHfBlK4ishe1vQPhDJc4KRWmJFXsSyalD0j8uMVPyaAkERCBEhJgZYv9RuxjK2GdDbgqdgix5o21BBuzamuY9XijMT6wc7n5dRe7el0lJDlHhGUJ/o+zCTLoEsvwPCb4vgviddloCejQ1Bq49VhwILtj4+YMamqg0+qiCIiACIhAwyWA1I4/X8wnMWyX2t5w77NGJgIiIAIiIAIiIAIiUBwBtkNx4A1HjxRXrHHnZnsW0Pggf1UziUcffZROcl5ONXdSfasSArJwr5IbUbgbJrtzTNNuu+3GCU5dunQpXEY5REAEREAERKCkBFj6veuuuwL30CVtQZWJgAiIgAiIgAiIgAhUEQH8nnEQSB0P3K6i8agrCQR0oxPAZIrmVBWskdj/mSm3MjUCAhLca+wmY0j4zJoPnqF4nrt37y7lvcZuoborAiIgArVGAHt2/Mbwwde27Nlr7e6pvyIgAiIgAiIgAiJQJwJ4ujvrrLPqVIUK1wIB3ei63KXOnTvXpbjKNjwCEtxr9Z5i8I6LKz6c/8YxR4jvbdu2lfheq7dT/RYBERCBKiOAyP7EE0/cf//9bJzkFL4q6526IwIiIAIiIAIiIAIiIAIiIAIiIAJVSkCCe5XemKK6xdZ+PldeeSXiOycIcZjJ1ltv3bRpU5zP6GCTokgqswiIgAg0WgLLli3jCCBO+/noo48+/PBDWbI32pmggYuACMQS2H///dkqzic2NSUyd8GUOpUkAiJQAQKYuK1YseInP/nJRhttZM19++23r7zyymeffcZ5zpxU7PrACZm//e1vOU2R8xI5eo0DFTkP3JVy2QhQIdX+5je/4VxoLpcsWfLUU09h5cB515zhfNhhh3GgsctPzocfftiq/elPf7rNNtt06NCBw8ZdhmgAv+Hsh//kk0/++te/crr4VlttRVd/9rOf+Tnp5Mcff9ykSZMtttjCjw/CX331FT8If/SjH+Eig9reffddOrn55ptbNo64fPPNNwlTCVURePbZZ3//+99TM9k4LHSXNZ+gTv+SOp9//vmXX3551apV0IBJx44dETHIAxAicW/SrFkzv0h6+M9//vOTTz4Jri+//JIuYayNHkIvXKnvvvvunXfe4XLLLbf8/ve/7+KDQHRoZKC3Tz/9NKoLrfzrX//iNm2//fbcZf94z/fee49DRy0zf/lF/cYbbxAwhgT8DzOB3vLDm0nFDeJOcRC0Dd/PFkzCb775hinBKLg7wNl1113btWvn52cCUC13gcgWLVpw96Nne/r5g3DJb3TBm+JoQ9U6s3z5ch4iwkxgO3U2gEBS8CQaef5Bp3g9YmLwdsNk5nYEo+bSPTjcQSphVnNzmYEuJ0+9WSAxIiJ5iOzmEnaPgN1NJl7wxFklzAe+Jbjv3Dua4Hnfe++9Y78lGB1VuWnz97///ZFHHuFNjQ4g91Fwzz33THFcU5C5G5QC5SbwX+VuQPWLgAiIgAiIgAiIQJUQYGV67ty5VdIZdUMEREAEREAEGgCB//qvcqkKSEtIafWFCPkYP65oW9OmTUOqu/rqq+fPn/+3v/2N/lx//fU777wzAU56JDxr1izE3KCfRx111Omnn45A5sf37dv3pZdeuvnmm1HlRo0atXjxYj8Vqfrss88+8sgjiVy4cOH5559vAq7LgyB76aWXWtMu0gLoiZz3hoIfxP/whz/s2bMn7VK5Jf3xj3/s1KkTYU7lgXCQ313S0Lx58xgF5/dQLZVgzIfwZxkQAXfffXfCjz/++Ndffz1y5Eh0UlfWAki9VNK8efMgnsuHHnrosssuQ1X3k1AYBw0a1K1bN2u6R48ew4cP9zMkhYE/ZcqUW2+9ldsR5GGV4sILL7S1UlIPOeQQVMsrrrgCDwFBTnfJTTn55JNRQu+55x6LvPPOO6mfYbo8FkCQHTduHJ4G7JIOxx6UygLM3Xff7cqyPHPJJZegm7sYCzD8AQMGnHjiiX68PwnZeDphwgSbgS5P69at6RsTAxl39OjRLHu4JAswZDrp7n6QGlyW8EZnvCluIgU94fLYY4/leFICPoTYJ9HIQ7V9+/bReizmgAMOgPwtt9wSrDMlPTis2TAVOT3R0AH5xhtvjK2c3cAmzQ8cOPC5554bM2bMMccc4+ek3csvv/yBBx7wIy180EEH8S3hK/vEs2bGg8AS1IIFC1iQGzt2LPp+UPbwww8Hjr/eQ4aMzIOqGvll+f5/Afb/LUXqIwIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiEBD4xz/+gaCMdSrxiKfOghUBF8/myG1IcuikmJ9jkIvuieE2EjwaK1bh06dPj9qkIzL26dMHa2WqxUgZe1jsZ5ECUXgR17BcRhQ+99xzkQg5qnSTTTbBChhZcPbs2Yj1w4YNu/322wMVmxaJR4plp7u5nKVRzJwXLVpEtddddx3WuJMmTTLbXmxjkcKRhlEA0RODwdol5samrR9xxBGxGVwkdrtUQs2I45iTY/iPOIhKeMMNN9DE4MGDMXQIZEGS2J1PDYiG1I+0DeG33nqLnHQS+3RXeZYAcEaMGPG73/0ObgivrEZgfo6R72uvvTZz5kwGzmIDKyWYS2PVzvoBCyTcmhTBHV3b+matcyunTp3KAKn8wAMPhDwGyCxacDuofOjQodxiWwI5+OCDkb8pZf4YWaox+2WadgNhjYFVHJaR6ORJJ52EWI+xMxb9jz32GMsbkydPZncCKzEuvwvY3EBQRsxFimXUTAZUYCRybv0111zTu3dvyDOj9thjD+pE5MXUfcaMGaxt0AFUXVdVvkBRN7qom8KMpUsU4TYRQGdnlYjADjvswF//k/Qk+nmKCrsHhx0G9uCwo8VuB6ti3GIeInR86txxxx1tUY15xX1nq4db97LdKkntckP79+//wQcfoKrzLcHd4XnnTtH0nDlzWHfhMbn22ms32GCDaA08v2eccQZ94/axLYNtLtwFHlsO1rrvvvv42kHcd6WyM3dFFBABERABERABERABERCB0hDgxzS/R/URAREQAREQAREoFYHS/IeOqwX761J1Mkc9WDoj+WFqetVVVxFA1cUdhF8PwjHx+IVAMvPjCSO7Yx5LKsbFfhI6O5FYi6P8or36SYQR10hFZEerxQo7SMW2F8GODBiA+0k4fsGvCPGYcpPHTyKMw0AcW5Hq9wTLWWJw4RJkdpcY6pIBFzcWg8jIJWqvy4C4TwwfxoISjUrukiyAwxkUSTKgFPtJOGYhkiTOCvLjCaPyM4Q2bdpQJ3kwgQ8yxF6yEEJm+oaIGWTAFQk//EjF9t+S0E9RTnfaaSeWNILMdsm4gEkedFJiqJOucokroWh+7M2pHAU8SLL+s2IRxHOJETRFOHsPQTxIxWcIywCkoqi6JJuE7EigVyjyLt4C7CqgbxRhXnGXUWODDI52dLIFOe2yVDe6qJtiTSOmMxA+UTIFn8Tu3btTMBa4G6Y9BUB2MekPzquvvspiGNUibbsiBNjvQqSbUX4SGxRI4uFykWj0J5xwApFMCb4TXLwF2DPBogup3F8W4Vwqq0dEsjWBWc0cY2HPJVmAlQkycOtXrlzpknIwd2UbcyDuP0/J4tYqWU2qSAREQAREQAREQAREQAREQAREQAREQAQaCgGUyptuuqlXr14YX2Pe7oaFLIhdKpcXXHABfktcvAUwMcaJBNayuG3BOD1IRdbEXYxv+GwZMFImgIpKQZTZoBQG2giLRKKG+0lofyjLeOs+88wzo67JsWfHDnqttdaiJ9hEW0EcWWCyjT5LT/yqXPjBBx8kjAW6i0kK4E8cMtjeBhkwyzXreNsZYKlI6hdffDFhRofL8qAIvh0w0KZgUq+C/HaJGksAdTLqAB0zf9YwSMU/D5IiAbYgoFyjYJoZu9Xg/6W3wMT5u+0hQHVlDYN9A+ibfjYLY1qOyyD2MUTd6UQzE0PluHzh5rKaEnXzjasT5hLZWGlAffZrYNWEDiDT+5GEN9tsM9Z7CHBn2WfA3osgAys3mMMzBHfrgwzZL4u60UXdlIx9SHoSMxaPZkt/cPDRzzIGpXj8o2UzxmAmj8SPLyZker4TglLMBJ5NNoVwf9lIEaSy5EMSDzUPb5CEiM/mCaY0W0lcUjmYu8oVyEcgvHP5alEpERABERABERABERABERABERABERABEWhIBHB1ggQ8ZMiQYFD49cZ8FWUWpTtIskvEMky/Cd9xxx1Bhu222y72KEvEcXMojHOSWKfbdmapHYlpdeLbBA0XSQ5hLmjFXdLW0UcfzSUuLCwSmRjjWcImrLucFmBcmJ8TxsI9SIpeYt/NSKPxxCBt85ceulRMdzErRmu2lQMX7wIMJMnLjcsTBDANJibwbO7ygBpoePNwnmrwWEIqyw8ujx8wId450rHKOUrUz+PC+BLB7Q+KNh6BXGRKAC/zpLJNIYkY+jhW1azl4Bk/qMf8rgSRXLZq1Yq/OBxnzkRTiYnOmdhsBSOLutHF3pSCrZMh6UnMUjaaxx4cFqjwChVNtRgMz3keWU3hjiTlSYln1YRNCWQ47bTT0NZjcxLPsg1JzA1zWeNnw/tQVG23DPZwodS7/OVg7ipXIB8BCe75uKmUCIiACIiACIiACIiACIiACIiACIhAAyeAoWv0YD07ndIps7EIMCQnPjBIJwZf57H5EdnNDDZqMm/57QhWX1w2ZRzRP2rd7DfRuXNnLumJqXKE8WnDX7xwYP5MwP9gNoubcjqZXqcVSVpvIBVzcv76Z43it5oYtP7Y5QSrkLNYo9bflhT71wRlhHI8a0czoKgiZeLlw9VJh7E4xqf2yy+/HORHVwXROuusg/sRS7LKsWGPrppYBhz1UDlCeVBV9BLyHP5JfPq+gdg5g+qK/5BoncTYeZs4X4oeFWD5bc4krRnE1hkbWdSNLvamxLYYjYx9EqPZssTYg8ONs1kaW4Q9KJyXwCkISWxjS7lIJiRnCbD5wxa3XHwQ4GAAGsJ5UbCxg0UUO5c4yG+X1m3OgXCpZWLu6lcgBwEJ7jmgqYgIiIAIiIAIiIAIiIAIiIAIiIAIiEADJ4DsFauPY2/LyHE4njJ+3D6Y5xbcN/vZCgrZnKjp508Jc2YmqbE99EvhewTFGZNb6zZJ9JzuYfcdXQ/gmE0ypK8luMpbtGjhwkGAsRPjC/rmeiVpOcGKs7aRniFoBTN8Dpz8y1/+gtsfHF7jBAbHNUEe/xIJ3hYbODrVjyfMCZZ4m0HytkM7ieHEWlNLqRlv/viEcSsWQdmCl7hkAQVd5XDXlMw4liEVD/h+HgTZ9JM5s08Yv9qiwkXd6GJvSpaeJD2JWcpG82R8cNh0wh2xmRytJD3GmmClJGV5iRoYF4cKEAgEd5aF3DyMNhR9uMrBPNquYooi0KSo3MosAiIgAiIgAiIgAiIgAiIgAiIgAiIgAo2BAFrnD37wg2CkyLtmZj58+PAgKbg0uRn3076X84L6XbpC5zeBCS2XSOd+ZGyYPFjR0hOXiu48depUjuj0jZexmeWkTXOW4nKmBNKF4KCg+XVBSQzig0uz2g4iky7pwMyZMzltFTUcO3Q+2HTjRYcPbrixEY7CxMHOjBkzHn30UVzGY8/uagYF4SOPPNLFEMDbPio5zrifWfNBHkWBxVMNH9x6+LfVLxUNm1sS/iY5h7Ei5lfEbqurpIQTxtVZbKCoG53jphTsT+yTWLBUUobsD05SDQXjszdhz6//bFJ5UcAtf7EPQsEhKEMdCUhwryNAFRcBERABERABERABESglAczHOCqKFw8UDTbXY1RVAdOtUg5AdYmACIiACDQUAlG1nZE5Bx2+D+XYEWOvjeDLv7PY1LpHWk+yaHOWx/WcpvFtctVVVz355JN0zznNWLRoEYbwnEGapc5i+28nl6JZpxeMSuTp+XGJPnnyZE6nfOyxx3ATz015Yc2HUgji+Ew/6aSTfKdAdnQqOTFpN5fu5Hz//ffxAYJvFpR0vzmsjIcOHYpPHiqH1euvv042PngaoZ94Tg9Ue7+sHzbyrNMUnDNUGxya6tdTK+Fib0rBccU+iQVLJWXI/uAk1VAwPnsT0WezYOWxGUrOPLYVRWYnUOCbLntFyikCIiACIiACIiACIlCFBNhkjcEU76Lpu5jrvee8h+NMlgPceE0OtmxjXMY77fHHH8+7RGw/MZobOHBgbJJF4v+Uk6nYG44d3x577OFyXnnlleaH18VkDFxwwQWck5YxczQbjeLWtm3btuauN5pBMbEEsBW95557UElYj+Hdm4PIsGGMzalIEagMAZw7n3POOSwKTps2rTItqpVqIODkab6OSqsDFjs6M9D2XTkn1WB5MBN2GTAkx4c1IjJHdLrzUYvyJ+Oqyhiwf3nu/NKkUljiJyWlxG+55oPjF4ROXLLgMB0bds7G5NlEJZ80aZJ//iQ6O/eOo1Od4G7HpQbm7a655s2bc9ArH3zO4BwGxzVwwyX9fffdhyeQWbNm+WBdKT9gcwY1f/bs2X58ww4XdVPKiiL4YZn9wcndq+xNRJ/N3I1SsHqY12UUDaOsBPeGcR81ChEQAREQAREQARGIJ8BrJ6ZSwZtGfNb6i3377bfZtY3JGF3glZijn9hyztspb93YrH300Uc33HDD3LlzUdV79OgR7SY6rPNLG011Mbwbz58/H4mWvefmjXTlypVZCroaXMAMl9xlUQHU9lNPPZUibFEvylMtRQCFcVzLli0bp9A8atQohCE4YKvICs3nn39eFHllNgK4bMatAR6cUw6Lq1FWlR8aXwV8hxR0kVGjPNXtJAJYpPLh7n/66acbbrhhUrYKxPMUoyYjK++3334pzeHW/L333iNDsG6NVxmEY1ypmODOl+rixYtZ5E73TZ/SUHoSrjOQqvlHln6MZL7/y65pbg1OsfmccsopCOLnnXceJ2SynO8WFchpR6fyqwP1HAf3/EMhAz8/Onbs6OqJDeAC3gTNE044geJDhgzh/FU884wdOzY2v4u0vXp/+tOfXEyjCmS5KeUDwqO6evVqv/6MDw6/PynLcovvesivJyVMKVJZlE3JY0k8vwSCZ7NgqYIZ6pd5we41hgwS3BvDXdYYRUAEREAEREAERKB6Cbz44ovDhg1jSztHuvF63KFDBwKuu8gEKNTXXnstmsLll1/Oq8uYMWN8OzWXkwCGbLGubHlf+vjjjzFnw4SNethdPmfOHF632Alu2rdfCWFcwbInoGnTpkmWaPYeFZTKcsnReQVfy1PqwV6PtQeM/Ruh4I4VIWo7rmwvvfTS3XbbDX0k/WS8FIyNPImnCZiXXHJJwxPcG/DQGvmkrcLhb7311i+99NIrr7ySIrjzfw21l86PHz8e8asco9hhhx34v4B38b59+6bUTz/pDFbYwd4sLNwRgvkvzLYhArhY4asVVzO+A5aUaotNorf33nsv3+TYoSeV5X80KmdSahD/2Wef8T8Rtmx4CpLskrEsXbr09ttvZ13BF9zRzfHkft1113F06hlnnMEyAD8SoBEsnl1xxRX8fujTp0+sGMqSOcvAfKg8tnU/ElkfXzF0mIZSTs1l+DfeeCNrHvwu8ovXUDj3Tck9RsBSNsUPT3AILZntweFnYfqDw49SZuNNN92U40cXx6XSEFPr22+/TdHreTBffvllchY8+pg8SZ/KM0/qieJ9Amv5FwqLgAiIgAiIgAiIgAg0MALHHXcc+iwOVapzXBiy8eLN+wYnm+EtBDepvtpOn9HWeQfm/dNeing3Zu920ljQwRHcox+OOMP6D6Ueo3Lq5ySriRMnUgn6QjQzMWaJRtOxqUTm9iGALxpMCMukvCRhaRjx+AdgINhFMh94u+YWFDxHrmEMXKMQARGoQgJ8EdEr/iWl9A2v33wQ7Mr3nX/ggQfiEh1Rz7aIJXUGxZAk/g8Gy9WURYZm8XLhwoVkMH8yiNRJ9dQxnt7yvY2tvTUXWxuu3mLjYyPZCXfbbbexNJ7ihYalEcrixi2oAcGddQWs+xFqzZ/MEUccEeTBxx31L1myJIh3l1Z5Fpc+/NvaddddKZg+Z2gON/ose7gmai5Ql5uSb7CYR1AwZZ3GJrZfuT04rD2zwuHH+2EMz6kTrZzfkH58xjBLLKxv4bV/wYIFKUXuvPNOfgOzc3HTTTdNyZaeVHnm6f1RqhGQ4K6ZIAIiIAIiIAIiIAINmQCmW2eddVagYlfJgDEco2+862LXM2XKlJRVAYzRMEXH1IieT58+HQOxfEPg/QeHy5TFrAl/MvkqyV2Kve2IL5jwY1qVu5JGWxADLsaeYhjYaMlo4CIgApUngDjLcZpYjke1POsM/+Cuv/56wp06dSpf97C8Ni8ouGVD2ottiPNRMMFmkbJnz57RDHiVIRKHKpwaiiEwnljK9zXLf/lu3brRHGvesX5jrr76ajRuU7GjXY3GIIbaGacpmiYebCiIzXhQnBX6du3ase0Mu352CeBfft999w3y2KEvxVZuqxpRg2usH6ifxQ+80AQN2SX+bZhOLAM4z/Kx2ao8Mt9NcUtBUW4Fx4uTH/KwNzE254oVK7DngKqf6j84PKp+kgvbyRwcIGwW9BafdHNdKRegRfZTcsnWq6Q7zg9RftOS5+STT3YFcwTyMc/RkIoURUCCe1G4lFkEREAEREAEREAERKBkBHDLzhs+7wnYfWexGeeFhB3cHFlGwdyd4I36pz/9KcXNYjp3PcUWZJHg4osvZrv62WefXWxZ5YeAvYSz9CIaIiACIlDvBHDPYh7J8BKGi/CgP5g8n3766R9++CFHkpTPYNwaHTFiBO6hkJVxQhI9j5RVXnZ3kbNfv36x3m823nhj1oCR2k34i1p5B0Or4yUL5ziIhw9aJPI6YiinsHC0O0b6uIVhiQJVuqg1aTvZBU0T0TzaNyLxJ0N87LhM18ZNGf0JdFWrij2CLKtwAAxe5vjtEdSPPo5vLiKDo1bNeiC6orD33nvvs88+rIsMGDCAgQe1ETN06FBosEKDvXOQWluXOW4KQjZm2gwzyq3g2LFjIA9zmHN6gsw4zYcqPx2jk8oenOXLlzPxONfEL8i95gcby1Rrr702D46fZDeX44X8yKQw20f4zYmg379/f2ZLkA0Leh4H2+J56KGHBqnFXuZgXmwTyl8sgSbFFlB+ERABERABERABERCBuhNgv7D5lGSnKnu6YyvkpFNOyCQ1upuVn+9PP/00nknxjsJmcFygbL/99uwWj8rWvLqQActul8Rubn7f8+KNPRft0gT7l9EFeMFAQaAeXghd5mjHaJqXTzxO4vKVbfJsmMW8zvbz8mJD5HrrrdesWbNowSCGF+xbbrmFSN66Y72jBvm55H2sa9euCNZ0GMv9aIYsMVTCqyw7xCt55Ca34Nxzz+XMLl7sDXuWrro8GHdbb7ndRLJ33nkPiM4f7PWYG8wu7gWb9xFi2rZtiw1gYN7lKk8K8PJPh7m/5gyB11HMAFkgoXVuN+0yT8z3TlINxFMJr6yUwocp2yy22morXj5ttvilaIicvMfirsfiyY/pKAOnIeu5eQyAg40dizOULL8SZhSeiDnxD0o8X6xtYKqJt3fkEj+bhQ0pFo5uCMSwu5xWkHuC/qDFMHbelmHL3MYtAHaRfp3sSWeYtvGC83g5ji+Hv1cqpNs8WTiG5nnkQbPbhzjFKKK3L3iQ/f64MBoc8g0b1c2NAw8+SdTMX3bKG0mSojvZi5pF1GMHCVItzT311FNoZ/BkZQtL1YMPPti/BZ988gneJDD3ozPcI3a3gMtsBl23XSAjEENBqSxDyzgnXR8IMAEYFHeZp4BBMUsPOuigwNezn1/hRkKge/fuzOQ77rhj+PDhfM3uv//+/C9DTuWJYD8Ts4VJwne+bx5bDjJ8c6KVo+HyrxlzdTQ+vvDRLvlGwls634o0ihfyFF/VOFfhmeVbjm/79ONM695/aKCzX3TRRRgdI6/z8evErRxnq1x22WVERr/0/JwuTIfp/1133UVBvk/4IcSXMHeB4fNVY8Ionuuieis12NGp9u81VpHnHyi74lix4NwXvuT5tdOqVSu+r/i1wxHNfC3wHUUlJ554ousPAZx3kzRv3jy+ZvmXwb0YPHiwZcCbP+s0fJnwjwaJn+92fhKwTMJ/LnrLfzH+bdWu93YHId9NgRunEQCcR4l/TKjksTfFteICLBoxc2699VbWPzj1hx8nYOcnNL/0mBg8IFh1RI/PcQ8OzwhTyB4cFHb+R+D2hxOD+CXM8xt81Ztndn5a9+rVC8t6bhn3i6pcZ4IAmzn4fuDZ5OcrWHCfyG8h7jgxbD3hPyYxNuGDgsVe5mNebCvKXxSB+Le7oqpQZhEQAREQAREQAREQgWIJ8Budd3VK8T6c5O+F10XyYACOfurXj8NHHLAEDkmx60HpHjduHK/9fma2kGMazJutkzJRfnnZ47UE0ZA3kMAoDONx6rnwwgt33nlnvx4Ls9mZFwOUXD8Jj6u8zbJPnI3SvGFiZcPbhZ8hNsxLEfXw7s17TmyG2EjeTMwkLf0QqtiyLpI3ZBeuTAAyqKi8YNv+9GIb5ebixd6V4pa5u0aA+2VJvLnh4H7mzJmBYwFM/3hxHT16dPZ9+lTICyp9xus9r5TMN1ZHgo3eKCbMLuyzYleMEJuYYyg4rtsWwGoMYSiQJ3h3xYgMn8js4GYUyDEM2UZxwAEHsL7iKsFWkQ+XvAPzsuriseKcNGnSp59+6mIIIJGQjZdhdA0/njAPEViwa2MIzEPG4tzmcpv8/uDbd8KECT5Sqm3dujVMWDlAmAYsk9mvn4P4aJGHsSihjaeS5xGTN78qCyPxwC047dA9yLxmR4tYzMCBA7kR3DvWLSy/y0n/Lcz6k+9TOMcs4msKcQT5CW7YDCKpu1YI8P0wdepU1lpY0iPAjGL9yWXgC4e+0ZnoKl12IBmHVtSc9HuImskajIshQIePOeYYTJj9SIUbGwEUYRaAUbeZ5HwJ+N8DLEGx1MTj4L6fywqHp5h/vnxz8iwHO8BQn1F7zQQ4qQ98h/ANwxoYjq1thTUpZ0niWYHjLFl+KvCty2POMieS9CabbMKPAVtGtZWz7D1BEOdrZMaMGcjWfPxO8v+L3yfBEqnLwG2iUb6x+Y5N+v+IDss6Cr98MIWGsCtLgP8vqK5IvcHWK2Kwh2Dfg2194O44wR15neY46JXbxPmxfFyFSL38Z2QnX1H/OFzxagvkuCkYUrBezjqxYeHHXkbBnbFTllkEVRwG8jEa3Bd+Qpx55plJP7P9B4cnyGfIf3n+uTOv/EjCrKbzs4djA1ih50MM/2dTBHemMf/4+C/MTecnNB9XIT/v+e/Zu3fvUt3xHMxdZxQoB4Em5ahUdYqACIiACIiACIiACJSJAIoqv92Rt3hZ5d0YE12kZ0Q6fv1jVcfOWbShWK086A/iFxInJjxmdIN7U9YAsCnG3AyTPV4OeT3gVcQvxduCnWbGBnneglDwUWCR2HjDQeuM7mT3y0bD5tEFg/qkF6FoEWKwwTcn7LGpWSIR+8yZZkaz+ix1pufhLR1u4ELeTc+ZlIpFFXeHVN7uuMtIEu4WO0mCDKNGjcKHKW9uNjfww4tKSH5eI/nLSx23yQ76S2ooGs/iBN3m9RXLdG46qgTvtBj3oSOgnCJwYFyMWh1o7kjYzC6SsB9nBwOLQKgMlEIWpzPszUeTpbfR5phRWCmaJ1amH0PAvtukWMzBmK68A5vxuP9+yxqD+VrlicDAE3ttuk1m1plYkOCdGRN7NnRHmyMGQ2y6ypTAaBFpJrBlowZEcNQo1FX0bqplEQKxFbs5dPxrrrkGqqhF9JmlFMaIpIsVJFh4qWauZhdkUZ3oBrI+NwgnBtxiNCnUfFQbHm22odB//Aj7o44dTkok8h/0yAATLDppyBbh6KcrVZdZxLcQNKDEtxD3iO8oYtCnmLRISBj8ct/xE42+gHk4X1yoe5jzw9BcYTCdfDv3ooBkGVq+OcncxmoS1QYFjUUUvieRAtnrgNUkZxtiCOl0NMdQgQZDgK9Z/icWHA5fjGiyzFgmBt8GPLl8cfGl7T9ZrhK+HFw4NpDkh9oyI98ndYn1P77rePpQnFmt5/kihu80VlsLmorzfwTL4tj+WCRfHUG7DDOIiRZHQ0/Jw3cFn2gpYszk3Jy/xWYIIhkgTyj6rN0Fvjn5l8SXOV9Ewc+YoCCX9r818AkTZGNXE98DfKHxn5RvEn5F8LuFb2k0ev9by5WCJwI9/3/5r0dmlHSXRIBU1gDYcMCvIDYz8RPO1huwwXf/0F3+gpPwhDUflz8a4CdT9l9NJbzROW4KN4tfnhDmOWIg7gkqCIHMfEsPGTKEFQv+R7OxAOzsTgCpW8pNevSiDw7t8tM0uvHLseXfMVtGeMowoscK3v2IDdZjXH77VdalSxf2kfC7iPnJjaZ+ft7EbidlfSjlwbFq+Z3AxzVhgRzMgxp0KQIiIAIiIAIiIAIiIAJ5CKAso5dVyQdljTcBPih0SV1CMSQDupjLwEsILx68yfNb3EW6AHa45EcZdDEE2GFNJIKji0TwIgbDXjbtstvaxVuANwH0dDJgKeMnYWVPJK2jtPrxhHmxwSKeNwfqJA/vmUGG2Evei8iMThqbWlQkL+dUxQe9o2BBthRYZs6qSsqMUTN54JOUIXs872P4Y2WTOMqpK4WJN/UjDbiYjAFwUZAdytH8RJLEbnr0/SCVxRWMzUllfwASYZCadMn7JEU4iI/OIx9Hs6ECo8KTh0WaIBWDL+J5vYxOb6Yc271JfeCBB1wpFCJi0CCuuuoqApiFRvuJ8E0StoGulAWQj4ln+vkVujyY2JNEhiCVdSki2TfAegAZAMvMd6WsP9w43ntZIXDxFoAwzyDFQcQk4d0+yOAeFoSDICnpErN6KmT3ejQDwhkPNakBZ3uQMfOPFnExdI+CwWNuz2lswXyziCYQpJB9sDHEQN61ToAvOtRwMth0Mg8MfgY2JfAVR4bgiyUHEKpNGVqxc5LaWG6hYzw1zAe/zxZm/YNU9jHwlyWZaIbGE5Pn/3G2MniKaDwYG8NI+Zrlvwn/hVMGy3cI/8h4rNCjU7KVJIm2eHj5H5f9u7ok7aoSERCBKiGQ7X9Rzlxr5SynYiIgAiIgAiIgAiIgAhUngHUM74cYVfEuGm0ck1sMqZDpEQSjqUEMZqfs6Y7ulsVKFzmYzBjquiJI6uw35xLRCo3VxVsAmxosfHEZYbtrg9SkSzNhw2I0KUM54rFQQ0GmZpyustG+HE0EdWLbjjCNLZvZZQeppbrE4Bp7W24Extf46w+qxQQPJRSZG/UTRzFBavolqiKdRzONZsM+y2Dim8Wcy1seLDRxrYAt9hVXXOEsv1xxppz1gYWZwEcNkge+d9ihjyV+QbNEqxBzY6sN07bYM8dwpGAbC1gTwpDQdcMC6L9MWiyv0fqZ+UEqN44HjWWDIB7CnH1HJJZ0eOPFmjXIgIKM5SaPKhmCpNhLTLx5Znl46UY0A6ZwLBYSb76YoxlKFVOXWYSVKHsFcO0SuFbADBZnU/QQFFiI89wFvWWjid04PNK4pJIDyTEnWSq7/PLL6RJfbiw0ur65AKsgrBpi6u5iFBABEUgnwOrvWWedhdM5rIOTcvK1jG0B3jawzU/KU6p4pH9+ivC95IypS1Wz6hEBERABCe6aAyIgAiIgAiIgAiJQMwTQgOiruTeNdhphDm+VKH0oX9HUIIad5iYaBvFcmrdTfMS7evAowsZnxFOMaqP5iUHSRXmMTUqKNB/0KXvGOagQGTfpg9lvtGbenHmNj34wl0bOY80A7Y83eXaa43g3WrzkMRjooSCzQJJyWl1JGqUV6sGbCt6EkyrEjSliKF2y03qTsgXxOAZBVQwi3SXKMraBKMu+7MjWezJQKslpD6UwiMb4HbHDVUUA90Qs2yCd+5HpYTy9YjKJOp80MynOTeehQG33O2nV4tIEC/ekB4E8pnRH+4BrHSLxWhC7FEGSeSJmKkbLRmPQl4k0NyzRVGJM0+dZiE0tVWQdZxE+GdDIop0xVsTjdiOaSkyUVcmB5JiT7I2wqcVjFdttInEsEDvkpPyKF4FGToBfEXz5A4EV0GDB1ciw5cVW93nu+O9TVlz8lMKlFU1EXXOUtV1VLgIi0EgINGkk49QwRUAEREAEREAERKABEDBlChv2O+64A38X0RHh3yAaGRsTNTV12TD1xaMoijaSt2mmuM8mlZ3XKSc74XiBd2nzvOmqSglg6UZqrP9TK4V7Dfw+J9XAoVVRr9wY4Cfld/G45sRvhnPr6eJLHoAebnmw8MUEO3BxXtq2kC3siDC8cKTUjNdsjNzRuNm7kHQ6XLQ4t5XJEI13MaioGC+znoELciJZE0LTJ4BjIpcnGsCLN/balCLgp+J4BDt9PyY9bP6OeRYCw2q/FHOMDDjVITPe7f0k5jNOSPwYP0xBXMf4MS5sByHi7yIJjjntTVobc/VYANUeFwopkwT3R+SM1aeCqnJf1n0W4b0qtnV3aGSSvWqUVWmB5JuT9qWHVX7KhGSNk2/F6EJOLAdFioAIQIClX5Zj+Z/FKinrnZx+YevutgRr+6U4XsJ22pWDGP+h8D7HEizObXCozZpxcNR8ORpVnSIgAo2QgAT3RnjTNWQREAEREAEREIFaJcARZOg7OK3GXTvqITIiL6tIujnGk+5QBcsyBHcsl61m81GTpJdZHmQpMpjym6U/vGPj4cTs3GPzIxDbAkOQip0vb+ZBpF3i6yOWBsophqjIoyjOZl4XWzxjZJLZMusNCHCuEiz4ODANfxTcNRdZjgDaASRx4RJ1EBQ0t9tuuyG44zkkiE+5ZCdESipJLGDw11nN0xmmDZ6C0pc0rKuulDWB4pwk2ib1wbwYFSzFwKkBp/k4R/LXeDggLuUYUpwM+Dc02geOhI1G5ojh2LTYk9PoLVMIM3xEqBzVFlWk7rMo6lrH7wArIinbWfychEsLJN+ctMlpx8wG3fMvmf8S3H0gCotAOgH+IXJ4BqvRbGnCvQyZ+b3B7we3PIkCjpF70lpmeuVZUjkCxx1uyW8GFuCzlFIeERABESiWgAT3YokpvwiIgAiIgAiIgAjUJwG8ZqNm3nzzzc+s+aBRol3iSIQPrmCyS1rpSmIwwi+//JIYPLEE8cGlM2UN4mMvkafZPM4nNpVIzNVjLdaxfOccy9hSvDk7/xWxGUoS2bFjx9h6UNidgxEWRbCeQ+flJMnYzCWMNE8jG264YYoprjVHHgJFeSYp6NmWdRHqxIiYFRokElsL4W+SMxbrCS6/oz2hrVjd2YpE/9KiaTSYQ0ZT/RgbOI2y7cB/RtJXBQo6NEjZ8OG3nj3MWg6G/0i97GLBiRMuktDcKZ7knCd7zQVz1n0WpePKx6okQPLNSduskz5DoGrzvyBeZRABEXAEOP9j7ty5L7zwAnYDLOfju4l1UL6Z2XqFg6/YIxNc2boH+A+O6M9XK2uEtOgvwda9ctUgAiIgAo6ABHeHQgEREAEREAEREAERqAECWHAPHTq0c+fOjz32GL5BMNp9Y83nlltuQdJC8MWkuuRuhf/973+DJsXlhYErSlPDW/eyZcuKsra2Vkz9r8dbRc9jW3dKLr7vcSPDXcDDT0ERPLaqoiJNdM6ygmI2g86QMEsrsTsG/IJOZqVa6rfKsbjnxFE/WzTMbAl8pBSltlOhG4jrQ7QVi6EtZi+m9xRxt4mkYltMqr/u8Zjqc0SnexywncfvPNoT7umRhACFD6W6t5JSg8Es0yxKaTcpqYRA8s1JK1VwamUhljRGxYtAoyXAf0b8lfGpPAF0dj6Vb1ctioAINDYCEtwb2x3XeEVABERABERABGqGgB2RGttdzCrxf8oHT+g4THj11VcR33E6jNNzhKpZs2YVNEyOrTYpEq/uJBVUurM7cKc2rNhwxcDmboStokQrZPqkflYmPsm+3rV+99134yoHfzgzZ850kX4Av7Fczp49GzN/Aljl1+XQNltfwXbbbyI2bHmKmhurV6+OrcpFYmZuYeuGafrst2B0Lk+ZAm5hCW+8KZ5haJ1HyfwjGfAy9Sd3tTiN4UACVHVmAg81GyMCu2lzi5+j/pTvkKC2ss6ioK2Cl6UFkm9OAoQvtILzv2CGgoNVBhEQAREQAREQgYZHQIJ7w7unGpEIiIAIiIAIiEADIZDF9QeekfGyzQfXJVi6Dxky5IMPPpg6derYsWNLSAGXHWj6b7/9Nh7kU6rFJWtKapDEqa3o7MhVuF455phjgtSkS1zQ4G0jKbVK4s0NCDvl+aR0CbczlrrnnnvWRXA3cZb7jqacvgvhj3/8Iy0W5Z+EalOGQNL777/PX/Rus4U3t+Z4Hk8vVZJUWkRARxVlXDvssENKnSxKkYpte0GD/ZRKypc0adIk1HaegrPPPjvWv4GtFhTbAZayssvBZZ1Fxfa8tEDyzUkcZDG1OK4WL88p/bf5n5JBSSIgAiIgAiIgAo2QgAT3RnjTNWQREAEREAEREIH6J+C8rwReNfyeIaD7l4SvuOIKRLQ+ffrEaqacWTpqzQdr96BgHS9RM++9917O2xw0aFBSVTi3+eijj5JSo/FItEcdddT8+fNnzJiBJxyzQo1mC2LmzJkTxFThJcopywkpHbvkkktwHoI7fjtPNd06O6UeS8L3CFIybnBfeuklOx00qYgdaVvwiFG/OHX6l9EwxshEYtJuSaiTzG2c6uB9O2XbPrOFc/M4jWDYsGHROrPHMDOfeOIJjjNIF9zJQJ11Py83e8ey52TjCCtVOFg47bTTYtV2qvrkk0+iFdp3SMoXSHAmbbQGP6ass8hvqGA4N5CkmvPNyW233ZZ1Gub//vvvn1Qz8QUfkJSyShIBERABERABEWioBNZqqAPTuERABERABERABESgmgmgrJnMmiRS4zb94YcfDobAIWO33Xabc/QcpHKJu2f+ZvEuEi2bEnPggQfiyxhHKAsXLkzKduWVVyYlJcWfdNJJKMWIiZyDmpTHj8dbDsPPKM37BSscZjmExY+Uz9prr02XUNstT8EzP9P7j1bboUMH8nCUbkpOVF3zTLLffvulZAuS0BwRx4NId4ktP/5zuNx3330tEhXYdG2Lt8joX+7jokWL7GyAaGr2GDulFt9EzrNNtCxrVAsWLCA+XTmNFqxMDCslNMRuj5R1Fw5siHamadOmRCZ9gZDE3pFoqaSYss6ipEZj43MDia2NyHxzEgf6lOUbjwMJkmpmYYlTH5NSFS8CIiACIiACItBoCUhwb7S3XgMXAREQAREQARGoZwL4gaEH2OfG9gNv7CtWrAiS9thjD2JMPQyS7BKvLwQwHI5NzR2JFNitWzeKT5w4MdZvzNVXX81igMn92VtZf/31zzvvPPIjzuJEIl1+xd5/+PDh6P7I9NmbaGA5zQI6atSM429URQzYo4s0RgBf3uPHjyd89NFHx26PSALFsaIXXXRRtEXLf8cdd+DOhVWTjh07uhqOP/54wjfddFOSOxpEfLRgFN5jjz3WlcoXOOCAA1iuWLVq1eTJk5NqIOnzzz/HgpvMSXnqMd50cxYMkpyTcE+fffbZaA/tCyRJ8OXb45577gFytGDlZ1G0DykxuYFQZ9LQcsxJBHe+SL/44gu24CT19uKLL8apV1Kq4kVABERABERABBotAQnujfbWa+AiIAIiIAIiIAL1TOCggw6iB7feemvUgnjx4sUXXnhhz549gy7i6Rsn1ByOiobIcalBKjomvkqIPPLII4Okul+ecsopbdq0wXYevV9q8twAAF3FSURBVBt5HTkPv9Lfffcdvt1xhXH99dcjaaW79YjtA9bWZ555Jklz586l5igKkvBDfd111+FIB5fKuGFp2bJlbFWNIdKMoKPHxiI6Dx06FAJjxoxxruEdEEyG8dxCKY5LtWwuqWAAgZ6ljpEjR0a3TeBiyLYmkOpvO0Cp3GeffbALHjBgQHTRiBj6wOTp1KlT3W8lcueECRPwXI/0P2XKlMDXOZfTpk27/fbb0WFHjx5tPlgKDrnCGViuYKMDjTKQwE6fJSjGdc4555x44olkwNcK1vque7atAb8x+GVykRbAhz6QqTb2kbRZFF05K98sCrqXfpkbCNUmDS3HnGTOnHvuudR5ww038C0d9JkVLO4Xj0D0WzrIqUsREAEREAEREIFGSEA+3BvhTdeQRUAEREAEREAEqoLAEUccgZqGDNq7d28MhHfeeWeUJrRR/E3jxwC/HAMHDsTPtd/XX/3qV6hviKq4MsdRO6VatWqFMIS+9txzzz311FModHgPN3nOL1j3MGIlOjvGzpjNIq/z8evs3Lkzqutll11GZKxRrZ85CFOWoy+xncdjTI8ePVq0aIGTcYzfcbKBwmhulJG3uMSeFNclmNIHNTSeyx133JHBIpX26tULA2cWPFDSTWRkCwILEoiD3AjmEl6AmC3os8jl999/P0lcTp8+nTlWFC6cs3PmJLeeVZxDDz0Ux9b4w8FgHKnRHKP369eP+KBOrOlPPfVUlk9YhjnkkEPwLL/uuutyN1lJYm7T7Z122qmO3ttdi3SJ7RGMmoeF/SKHHXYYxuxMQg7XfeCBB/CDxBoV85YWXZFqC4Cif//+wAEyj8Omm26Krx62DmDbzigQ1lHP2RMAdjJwxK4JwRtvvDGZ0YJZZsMEnkWOZs2a8aTgcgofO8yKCy64IPbwZGYR3xXz5s3DHQ1FWCwZPHiwMSnTLCoWeD4gtJIytBxzki9hjrFFWGf+wB//Rdi8s5LERqIHH3wQX1jMfL6yWA4sdoDKLwIiIAIiIAIi0LAJSHBv2PdXoxMBERABERABEaheAkjYCKDjxo3DKQQ+VfhYX9dZZx0keAQ47HajvUdPxCUI0vby5cuRQf0MiNTosGhwZfJygHCJBxgEJrxvo6Wi4SLV4YgcI+jNN9+cnpj5Lcq436ssYSRFvOUgFqNqfbjm45eiXRYnMLG3QziLlYz9qmo9jLgMh9mzZ7M4wYfhsCpjgjthjrRt3bo1J+viq93ctdt4mUhMGzYiIJ3nIICkju3ztddeyy4EvzgKPsJo+/bt/UgLI6+jQnJDKcJxu3xcHvR6FoROPvnkEtqbozUjH/NQsOx01VVXubYIsC3j9NNP32qrrfzIaguzGEC30cdXrlzp95+vAm43rFhUQ/llXYGjaP/85z+7/p9xxhk8g0DGmxAfi+fxx3kOG0dYx3I5/QBfEUuXLmVxgg/x7DNwgjuXZZpFfgcKhnMDSRlavjlp+zDYyeGeOOs8X7Yse/DVF2xKKDg0ZRABERABERABEWgMBGKc+jWGYWuMIiACIiACIiACjZBA165dA8WwSiCgML/yyivoaPjLxoISs0rfQUdSJzGAxXgZ79UYw6KsIXnjQh1hLil/BeKR7VD9sDXu0qVL7uawHsWqF9fJyPcIjpjxbr/99jlE/NwdqP6CeFRHeMWWmQmz4YYbRtdX2BbA3IAhSewYQL40v9hFDa1v374vvfQSKrDzz47miME4U47amG+o/wV3M2AOjPTPDP/2229teQYnJ+W7mxxiSXNYguNwiXUpZg58ihp1PWZmewqE2fICKxZRWF7iq4DVpoJdYusAdwpzdb4KWAWBMHbrBUvhqYmdMRRhCcSWsoIiJZlFQZ1FXeYGkj60fHMSGqwy8kxxR9hcgil99LkranQNKXPB74Hcg+X7n++c3MWrpyCLjrfccgvbU1gizdIrMlMEv3O15bOIA2b44CmOZdosw1SeaiCA7zV2LvLjjX/u/KhgbZ5VWNZ66RtnseiLrr7uEVv0eGfJ/qVRX/2s9XbL9/8LMjFmU7XOS/0XAREQAREQAREQgdoigCTKp9g+43eCT7Gl8uX/+uuv8VmB0sSLdFINSJyIvKSatXtStoLxW6z5FMzWmDNgG57u/XyzNZ+SI0K/5lNUtRxyy+tiUUXqkhmRPerfpi4VVrIsb31o5XyKbZT1jxznwaKzp3+BlGkWZR9dbiDpQ8s3J+udRnZuylmFBFhQxxUY6wd+31hSwjcRMewTQuj0kz799FPy49HLj6z+MIuddJv/4dXf1QbWQywV/vCHP/DDgIXwYoc2atQofMRRiq9c5iQ3EcsP7iMxXBZbW8Xy80zhYJDFaY7oqFijlWwo9kujkh1QW3UnIMG97gxVgwiIgAiIgAiIgAg0cAKI6WeddRaDxOIm1hiWJLxC42QGm3Q7AbKBE9HwREAEREAERKAOBPjHyqEsVNC2bdtAcK9DrSraGAlwWDo+3Dg0pVjBnW1VqO0sQ+I4i9NWUNjZ9uSfzl21NFlg4PHhyJaGKrhXLXl1LDuB+tx0nL2XyikCIiACIiACIiACIlCPBHBZg3cLOnDhhRfizyTaE8zxONGU+KOOOoo3t2gGxYiACIiACIhA4yTAMRKIoRxV0jiHr1FXLQE77oU9FuxFY/McCz/8hOPDdOVTv14KqxaaOiYCGQnIwj0jKGUTAREQAREQAREQgUZNgDMYOesSL5/du3c/6aSTEA7s8FKcGmMexYma7H7laM0BAwY0akwavAiIgAiIgAj8bwL8x+Tzv+N0JQL1T4CDT+hEsHORc1ZsU2P99089EIFaJiDBvZbvnvouAiIgAiIgAiIgApUisMkmm9x4441jxozBs6e9iWEDhcdPt/WYkzkxcs9y3Guluqx2REAEREAEREAEREAE4gnYnkWdjBpPR7EiUDcCEtzrxk+lRUAEREAEREAERKDREOCIxblz53JK1W9/+9vly5d/9dVXbDfGzn3rrbfGh+bOO+/caEg0ioH26dPn6KOPznGGZ6Ogo0GKgAg0aALLli3DxzrbtjiVMTpQZEr+CRKflOH//J//wzmWZGjVqhXnjbMDDMdrnG/McZS4yX7zzTdJwlm21UxVHH9C+Oc///mvfvUri/T/spOM41Xfe++9b775hkq23HLLfffdl8x+noxhevLkk0/Sty+//LJJkyaYNuO5e5dddgmKf/vtt++//z7L6ilHK9OrTz75ZN11191www2D4nbJevwTTzyBl3A734Vs++yzD063YzNbZMbu+TXQDX6TMCJrhYNDOd2d++LnCcLcvhfXfDgglNtBZjrGLxnL9u6779Jzzkk2x/rufnEYLMSCquzy73//Oy7FSY09MPZvf/vbc8899/LLL69atYo8zZs3b9euXevWrTFZCGrjFv/lL38BFFRJos5FixZ9+OGHTEVuN4eW00/f3T/26QyBnHDjLwTs7HrCKb0l9U9/+hOdsSL8pRIriFcZzr13s9cdyROF8Oyzz+KO5uOPP6YIk5YpFJ1F1Ow+2SG4IrEBm5kkMT/5+91337khO26GJelpsmqhyo9Yeu6eo2LhB93jcWaqg4UnnQm23nrr8auYfS3+/QqKcAlAnhF7tNdff33g496HHQbRnIqpRQLhE16LY1CfRUAEREAEREAERCALga5du6IXZ8mpPCIgAiIgAiIgAlkIRHXDLKWy5Nl4442RorLkLHme3r17v/LKK4MGDWLpMVr5008/PWTIEOJPPfXUvn37RjMg555yyinI6LhcQ5GcOXPmtGnTDjnkkIkTJyLO7r777tEixBx77LF2jOqUKVPYUoYTbfaTXXfddZyHibDoF0HEHzx4cLdu3fzI9DA1UO2tt96KehvkRFflgBZfN3/mmWcYO+L4ggULgszu8vbbb2c4SP+TJ0+2yGuuuQb/chzlct55591///2XXXYZsr7LbwH0RDzUOZXTpRbVPSvFQK6//vpZs2YFcEilD6effvraa6/t6ncBtG+6jd7qYizATWEPHysQ/FZkJ98999xjqr27X9xKzrMJStkls/SYY47hdjMxggwcZ3rJJZeYIO4n7bjjjlBiecCP7NGjx+uvv05+FPmxY8dS1k8ljIzLnXL2DTZPgjx2SVkyxyYRyRGp8+bNi6ai+T7yyCMI9/vvvz+pixcvtjUGH8LXX389cuRIW3Dya+C8VqplOcGPtHBREKLF/RibmX6MC0Pm4IMP5tJ/fFxqEBg1ahQjZZK4h6hY+H6FrPeMHz/eFtL8eAT9s88+m7vpR1qYlRUeHJ4vFjP8VFb4TjvtNKbT7Nmzr7jiCvvS8DMoXFoC5fv/RT/jF+hKOwDVJgIiIAIiIAIiIAIiIAIiIAIiIAIiIAI1QeCAAw5AcEc/jRXcOc7ERkEgVnDHipwM2COjtgfjxX0Hki6RCG3z588ngM6OgE4guqPIhFHUT/Kw/ID6+c4779x0001sNZs0aRKyNXpcUH/sJW2NGDGC3jZr1gxhEcX2F7/4BSowNrksBmAjzCjoTFQHj62tYCSy/kUXXURbCJqcuE5bWBOzCIGGiPaK4TZCOZGunhzdQ21nNYLaIMwBMx06dEDcpJXnn38eCf7uu+/GUH369OmBmzs2CqCqY4zMGaGsZ2DGTh8Q36nnzjvvRHudMWOG61XdA4ja3EHqOfDAA7mDbBfA9hlJfc6cOcwujsOhuajJP0Pr168f/WeesD7BrghWFMgPtA8++ICFlltuucWUelR7W2zgPnITsY92Wny6lTQ+AG104KIhzO2Ry4mJ3c/hc/joo49YZGLrw/DhwzFp/+Uvf4k6/9RTT7EmxLjoG3YtgU13Pgh+o37YVkSIwUifJRA2WXbs2NEy8ID4OfOFs8N39b/66qswQUBn60nPnj2ByXPKGgwzCk2flTlWApifLj+B1atXDxw4cMmSJWxlYBqgyPM4sDpFVeA6//zz2XMAZL+IwiIgAiIgAiIgAiIgAiJQvQR4deGlTh8REAEREAEREIFSESjff30UtFJ1sth6cPWA/I2giceSaFk0PpJwXdKmTRtE3miGww8/nOIIgpaEHMklArGfE+2VSD7RJrBsJd6U8fvuu88vRRhN8IwzziAD3SAcpMZe4nSF/Ki3yKNBBrQ/fh2Rit23S0KaJwYzWxcTDdx2223kwRrXJSFwE4P4iBR78sknU7NLsgD+QFAkyYPa6CcV2z3KGlLc2aHz+lUR5o4gndPKuHHj/KQ//vGPqP/Es3vAj7cw9ey1117I4p07dyYPHkssHl8oXPKJ3iZXCZo1GRDxXQwBJHImCfEIr348Ye4afSMJwijmLpVD6YkEEUssODVy8RZgXDavWDMIktg/QUH/DgYZki6xo6cguyj8DIyUSD5MUYt3EOgb0xJp2M9PGONutH6KsDPAT8oBwS+eEmanAs3FTlF7fNJpYKRP8Ztvvtk1kQ8+N4XVFKo699xzccXjarMANJgDeG1ipcRP4g5S5IgjjsD/jB9PGOZUxYqI5Qm+NILMuqw7gfL9/6LmtcpauyoXAREQAREQAREQAREQAREQAREQAREQgRoigLn0VltthZqDC4ug2ytWrMDOF4tgrOCxlcZGOMiAcevKlSsxUMWDc5BU1OXSpUu7dOly2GGHBaU4PQVzdTwh0A2sxYPU2Et8gxCPOTwu4IMM2IAj3xO5cOFCxhuk5riEGOa6uMsIrMupCh8vl19+Oa5XcHWN62pXebHdQxHGdw3FL7jgAudn3NWG1TCtYKx911134evDxROJun3ooYeiGrtIF6CeCRMmIMr7RVxqjgA2/vDE+p7TUILi3EE8jeCTHaUezzxBKubqeJuJuoNnXAMGDCCz7Z8ISlXmkg0WbK3ArjxojocF+ZhI1k78pNwQ/EoqGS4WPmsV7BTBqh19PHr2LEyYADjkcW6XGAtLO6yiYQXPhGSLQDA64rn7nChAniBJlzVHQIJ7zd0ydVgEREAEREAEREAEREAEREAEREAERKCMBNDTqR13GUEbJsFjzsyHJOdexmWzIqTW0SkE+l2sQxsawlsLx7ESyCi4I/mRGTtl10k/sN122+GNBJffUZfrfrbsYXThqNpuxfFag4k0YQzkXYXFdg+bcaRzDIexSXeV+AF0TGvljjvusHgWJ7hxrFKY830/swtTGybw7rIuAXyDINwj+mPpH1sPN3fo0KEkRQV3PJNguR9byryB40Wdc0FjM5Q7EovyqEZsjVrfWLFwfagLBFdJhQNFweeBwoadHg4bNgyhPLareAdihYk1EnfLbOajxSedSMx6DBXG1qbI2iIgwb227pd6KwIiIAIiIAIiIAIiIAIiIAIiIAIiUF4CeIqgATxX4OTBb8kUdvR0xFncVWOsHRiGm+Buer1fsNgwZrNRU2JXCTb4hL/55hsXkxJATyeVg0zx9B3NhviL13XOb0w6FDRaJCUGJoHH6iCzOd3+/e9/bzo7qcV2D+aUMpPqoHJ3edBBBxHm9lkMXu8J4KmDtQqXJxo48sgjo5E5YqyHTKHYg1utQpyNcEgpGyZwR+43kbSKQB6M3G0lI+N996stSTilbzYhWQxwDdUFgqukwoGUAUbh44QdL0mcNox/mKR+MgGok60wnGFgeWxPDDstkooQz9zwDzFOyamkaiYgwb2a7476JgIiIAIiIAIiIAIiIAIiIAIiIAIiUGkCnEvJgZYIavihdm3/9a9/ffnll3GZgg8NzqXEb/WqVat8JyQIjhj2cpJninLnaksPtGjRIiWDmc/jNjolj0vCLw1nb3KuY69evXCcQg9RAF1qaQP4Qkk37acn2LnTc/yTWNPFdu+tt96iIA70U3q+0UYb0Q0M2/GyTTacjPOXNYyUIiTh5iU9Q8ZUay69h1RlfmMss6u5hPfd1VmqQErfohMyHwQ8tHCCQvRTqu0X6ShSBkjBYIw5BsjoOBAVG/aoK6SgY6WaikG1uqwkgfhdD5XsgdoSAREQAREQAREQAREQAREQAREQAREQgaoigJU6XraxWHeeRrDLxpkJ3jNwTkJXUdUx48XmHU8U1nPCaNlkSDFtzjhGBP2MOQtmo6qZM2deeOGFuNjGywofuocbej7oervvvjsrBAUryZihefPmBXOSBz/snOBqOYvqHssG5htn+PDh6Q3ZagQrImwUsLbSzduprWCG9BZdKqMjfP3118+bN89FRgOsBxCJCOsnlfC++9WWJFxU3/JBOPPMM1966aVobznP9pxzzonGlzYmxwBxVcSxwyndsKUCu8s2D5mQ6YtS1JblOUppVEnVQECCezXcBfVBBERABERABERABERABERABERABESgiggguKOZPv3006effrp1y/zJOOt1AhdffDGKW9++fS2D+ZMxdzRVNJLvfQ/X25zcuGzZsscee4xR4PwdLyvmaAX5j6MdTzrpJFtFqGO3CyqJ1G+yJtK5ayt799hkYKUK+q9nOCwkWCtWqmDf8MRNkcCJkOtk9oA1h5l2QaQ050aUvf6ayJkPAjtL/InhRmoua9xlNQRsgGjotosipUvcZXOgZEUKzkOqKkr6T2laSfVIQIJ7PcJX0yIgAiIgAiIgAiJQpQTuvffeW265BR+1AwcOrNIulrlbaCivvfYap13tt99+ZW5K1YtAPIEHHnhg7ty5jfkxjOeiWBGoFAE8fuD/5IMPPnj//ffRAWkWbR1NFpNw6wKpm2yyCa6c8anNCZmYVJMBl+j77LNPpfpYXDtY4vMZNGgQwh8OMTDYf/TRRznoctq0aa+//vqkSZNwdpGxRueBPci/evXqICZ6aXk4TDJIytI9dxwrywb4iw9qSLq0tgr2Dak9h9oeRWGdnDp16h577JHUpQYfnw/CmDFjKkAmestyNGoD7Nmz5+DBgzMWt40vBechtWXJk7FRZasvAlm/TOurf2pXBERABERABERABBowAY7zQlP75JNP6mWMnPNG63zYIB90gK2v+Ej98MMPg/jGc4m8AgHb/Nt4Rq2RVhUBPYZVdTvUmcZJwM4+Nbt1/i/gAwQfLL5SjJE7PmTsIER8o+PzHcfuKYedVglG7Gc5QfSUU07Bvcz48eMxxH7iiScefPDB7N0LHKG4gitXrnTh2AC/PSwPR4bGZiAypXsk8SHPp59+mlQ8Gr/eeusRWbBv3OJo2YIxURR4+adUcBpqwXoaWIZqhhC9ZTng5xigzXlOeuCT3mK+qZhep1IrTECCe4WBqzkREAEREAEREAER+A+Ba6+9FpeUmJX9J6qCoX/+85+0zkd2NBWkrqZEQAREQARqhsD+++9PX01wD/zJ2BjMvQxuZ7h88skn+WsavaVWw9/PPvsM7+1XXHFFUmcOP/zwTp06kWr9J4AHDP6m23q/8cYbsRViL5++Vs0Zs/zqwKvGpptuSg05urf11ltT0D/MNtoT3JKcseZjTjzwVk+eWOfgftloBkNBnhQaURRZekidl19+Od6KosX9LtVuuL4gFJy9WJkU9EeUBbsNkGW29Mz33HMPd5mdo2Rbd911N9xwQwLRmeZXwu/z9OntZ1a4aglIcK/aW6OOiYAIiIAIiIAIiEC9Edhqq62OP/74xrwVGocAEDA5oN5ugxoWAREQARGoVwKtW7fGKBVNDacxJrjj5cnv0Q477IDBO0enYriNLo+peLU5IsPxxW233TZ79uwUHdykQ2d127RpU8aICXmSyoxK/vLLL/scXBh7f9MWXUwQuOuuu4jZe++98b1DIEf37BbcfffdQc3+Ja7q+bAjwczh7WDY5cuXs3fNz+aH6fmCBQv8GML42MFZEAE74DRI5ZL7/vDDDwfx1kM6wLQJktwlFd58880cY2sKrItvMIH6gmCzN+l+gffxxx8viUuZ7bbbjrmBp/4XX3wx6a4xqWbMmLFo0SLrFdmY+fxNn71sN7EjZ5OqVXxNEJDgXhO3SZ0UAREQAREQAREQgYoSQGo/66yzsHqraKvV1Fjnzp0hgOuAauqU+iICIiACIlBRAiag45wdCQyJmZMbg4VYXLrzH3PVqlWPPPII3t75r2HeSwr20nlLTxK1C9aQMQPrASiDZI6qya4GrM4J45LeYnBMj3t0DIFxfOfy+IErr7wSodmPceEf/vCHnDSb5E0FyfvOO+8kc9euXa1Iju4dccQRtIIJ8EMPPeTa9QNYtdMHYsxyn8DPf/7zgw8+mMCll16K+bCf2YU5uua9995z98XF41meMBPAxfiB++67b8WKFX4MYQzqMVygGykbC/CbD8MOHTpg9RwUL/bS+lzuiVRsr8oKwYbMgxntld0vpkfsChOzevr06QUPs41WG41hEh511FHEc/hB1Dej5We2456R74127dpZDMYcLDWxOJf0cOGWiq0PVG759bd2CUhwr917p56LgAiIgAiIgAiIgAiIgAiIgAiIgAiUkYC5iLnqqqvQ1MyBTNCYWfKikRGf3Z8MiqEduphicx00lPuyR48elMWLHUekRish8vbbbyceIdtSccphvnQYVFS1vPHGG1GZOSsyWhUxLFejZuIdPuqE+t133x0yZAgi6dFHH+2vZxfbPdTzU089lbbGjh0b1cExKseDByrn5ptv7tsNnHbaaT/72c/QYc8777yogTMWx5dddhnLANGDWA866CDauvXWW6MOABcvXoy7nlgUo0eP5hajtzJzAokfq2dWLLCLx69OSY6mNxv8ZcuWxd6ReowsHwQbMmcgRecnU6tZs2YsP3BrAvJ/+9vfsKWgiAnldSfTr18/2nrnnXeGDx8e3c3A5GSBh1aYe7afg/BGG23Up08fAiNHjoy6o2HvCHObzSXdu3eve/dUQ/0SaFK/zat1ERABERABERABEWiEBDChwrsoAzfXoux7NQ+ezqWpzwTLKdyq8uKKzQvvithM7bvvvm5rqp/TwpwERX6s1b788kss737961/vtttuu+yyi8uJRdWbb77JJa98FonFmR0Bx0ssZjhEUgk/92nF2bvROn1wPeRlFWs+3u4+//zztddee+ONN0ZxCOz+XIsWwADQdQwDQDawY9hlrjZx+cpbEC8h9gYVFAwueRuhUdfVINUuedP+6quvGAvZ/AwM+fe//z2uM2HOEDArwxIKfSTIRhEDDj2YWw1Bu+z25Xw5biWvWICiHu5LtB6/dTJj00TN3H27L9waMvBCaO/J3Fwz2vJLpYTpAxVyr3l75LZyTN9mm22GN4OM9pVBzQVnTpCfS+QndlKjOFCWUXCAGHaUcGCeRDO7GDSLZ555hvdk5j/EGDUaluPsshEw5s2bN7ejySzmtddeY7zYiPk5i31MrKzrCXeEybDFFluk08sOPHvP2Y3OO7lNJDxXoBC1b9/efCD4A1RYBESgvghwuCjfrjzUdMC09aAnFmkZTKcOMiRd7rjjjnwZcpIKpfja3GabbZzknVQkXzzfKmjc+HJB4+P3AF90LVq04N8u3z8LFy60f0CDBg3CPY6rn0sc0/MPCyNx1En+x/G9xPc2RuVo1uiMu+66K8q7y+8CfKujg6O0UhCpmmx8vfOPkv8U/NPkv0bbtm1HjRrl8hPI0T3kSPYTcOIrQicVAvCXv/wlI+LXFIsBfFfzdYrW6Tyw0wodmzJlCmomZ8UjdIKa/5jE84OB3zP8O0CoPfnkk3G/4/eNMDlpCEq9e/fu2LGjHYrLbwzuHfQYIKJ5FAX23ePGjUPcx6MIfmMOO+ywli1bshTBqgMd4GcPv9AmTpzIjQiay3HJRKIUKze9evXiTgF52LBhWX5Q5WirqCLlg8APTn648tP0xBNPxF8QvWJxBQdQBJC2R4wYwVRnJYn/rY48zHkE+AF5ySWX2M/gosYSmxnITKoBAwYwGXhMmCo8xRin86TwixdPU5RiPYafu35xphm/QpkGzKgDDzyQLxB7RthDw/PFTyMeH+azX0ThWiQgwb0W75r6LAIiIAIiIAIiUNsEzj33XN9Oih/rNh5exnyvjrwx8lYQ9Q168cUX8+Oed4yAAq9YVIURVmDRc8MNN/ACgKWP+QklW2A4079/f6vq2GOP5c2fMA5Y2ex8yCGH8DZoSaicvH7/5je/YU86Ii+v04FVEfumeduheNQ6DHO2a665Zs6cOcF+Z3o7YcIEXv55tUD059JcWwbjCi7nz5/Pmy16K2ZKQZK7pPO8P2Pj1q1bNxeJRjB+/Pjo1m/eyXkDDyzUgMxu3zFjxhxzzDFWg9/uddddB1VIusoJcLMGDx7st+hSWWygwsC0cNasWcjTxPPSaHeEFzYzeHQFkwKQxD5u3rx50f3UdAPjKXdPk2rw4zPOHL8IYbzTso2ahZkgHmWKk+pQJYJ4LlkbYEYtWbIkSOLtFP59+/b1xRHyYBuISSamYaTC8KKLLsIRKksLJDnBvdjHxJpO6gn0uIPMh6AnxQLP0nNU/smTJ/NA2YgcE6gyZDfxXLwCIiAC9UIA/Y51RE4+5L+bv3rtOoOSyz9ZpF4WkllMdfEFA3xVslrJ15E5PedfcJkEd3rCvzPWFBF/Eb75+H1DouX/u3N5YUkst5MZvZj/zjNnznT5GSD/uA899FBWr11kEGAZm3+RfJUhKfJxqSzPIzXy6yX4giVDsd1DuT777LP5H8q/QmRNUzatIe4X3mOQXKNrz+SfO3culuyIofgVcR3jPy//hfkPHv0BQx56S2bUc3RzfqTxsYL870Yw5b8t0rmryg8g9aKnw4G5EfiWQRpGEWba+Plzh9G12VKAm35+qvGhHtYAqkFwpydlgsCdOv/885mKrJewHEJDLIyZ4E6YJRx+bECew1F98kwA/suzzF8qwZ22eKyYVPw350dRsO6C2QdPFg8L2fwPU5TOs8DDvOKXof/jkO8QfruygsIvbb+IwrVI4L9qsdPqswiIgAiIgAiIgAjkIMBOYX4T5yhY8iJ0A7MyquVHNrY22LZg3M0lL+22z5Qw8iIWZNjmYNt70kknYcCFBS5OUflBj8yKQnrCCSf4NmJoduzU5kg3NreyOxsLLAryJs+rF6/KWN5hLINkTBNItLwY0ARFiCHAS745i8S6jbcUYigSCO5owSa48xaHRsDrCrokb+moq2anY0ZhqIS8NlOD+6BU8vLAmwPGcXQM2YKeYOyGZTSKMz2kM7SVXXBHly8ouEMmENyxameVgs6YJR3AeV3HPg5h1F51GJ2DT+cZZiC4u3Z5teYWYE8HN0z7uWQ38U033fTCCy9QkHc8Firc8Alw15AYVq5ciU6B9Rl6Da/B3BGO7eLANAQIViOOO+44cmYX3LkFzASmBHMD98GY8nFbee1kLHgGYMXFRGq/G0nh7DPHr8FmCDEIK1h1YWuGJIHhHvIx5Ik/88wzcSzgF3n++eexucMCkfdJHkbee9E4eBDQ0PGcy5RG7uH12LeOh4wJ7iDlceB+sQOAl1vGy+2g8mIfE+uP6wnT2HrCHbGHiztik4R3cr/zxQIv2PPVq1czx1h7sJvI2Hlg2ZWC3SWzC0M8RBxQoBT4615+lxQWgSohwHdpmXrCFyz/BMtUefVUy/eYLWDzD5pPWTvGfwrW+/mfhYE2/7z4LkWrZbE/qVH+QWA3jV5MfvZykRNZM/tOLL7KKM7/O77trWysou1aL7Z7FGTjmo0IhvyS4f8sYmVBjHSJBQN+gAGBpQV+Mtk+PyrkXyr/p1hfsR9mrm8E+CfLyj2/WxgFpbBtZ1x+hqQwGwX4McbyMDxZBkAXTmGeVEnBeP558S+V3Xt0DwMLVN2CRSqZoRwQ4IktOXbuDJZbH2wOAwX3i18m2Iwz1fnJyh6y8g2Z+8tPTawQmD+28ZFfO+kPC7/WrIecV8zPaST4svawfGOv3ZrL9/+rdpmo5yIgAiIgAiIgAiJQNAGUNX6aV9UHu100bgTKaK8Q40jq0qWLvaH5GdjXvM8++5CK4ZiLx/CKGNRk3jldpAWQ9hg7qWjBfhLvZkTyiTaBbRrxmJC7/Ej5xKD90QQmRbwkuCQLoN2TgRddlGU/CT2deErxruXHE0Z2R4Jnpy3W0OTB4izIEHuJBEnmYCxBTgzHyIN46uJZnyCGcbkYF2BLOEno4LwmuUjUeSLN+tgirV1bzGDHustpAYCgyVKEsfhwkA/sLqMXY9EclML2ihUITOQoyIc7FWSIvUSpJzNzIEBtmZEJSGWFhle+2OJBZI6Zg6xPE23atPFnoKsW7KTCk80ELhKdAk2ZeHZawMTFWwAOLGCQigmhn4TxF5Gsr7CuQHMszCD6+BmKfUwom94T9G40FBr1b3EO4AV7zroUrWDN6s86GxoPJptgULUsj/8Y+mNXWASqhEDR/4wzF0Bwr5IxqhuNhwD+Sfhyjv5iaTwENFIRaDwEMv87ypNxrTyFVEYEREAEREAEREAERKCcBNBA2R+N1S0ib9S3NRa+F1xwAe2zLRptzjpiO8QRxDGrCbqGBRZaMJEoy/yGDlKLusSSCPt0jJejNjso2piDUb+/DRZxE08yNIHblqixGAZlHMiGaRI28kV1o9jMNGE+alnAiJbFySy+1CGJzXg0NYhZunQplbBFOogHCBvYsZRhLMjHLhVJGrs2jJe5WYHtFXkwDMfLDV47Xf4sAXM+wP73WN+vaLhYciHuY5OYpbZiZw6WYjb92FER3ShNi2x9QG2Hp+8JlwUSlhPw1c7kiZrdwQGLdRjiXxUDsaDbzCgYsnLDLgTswV1qjseEsuk9wb7MNjqwZcE1lBt4Us+xx0TQx7KS+R/100o8bhywjCOP64MCIiACIiACIiACIiACtUJAgnut3Cn1UwREQAREQAREoBERwA87o8XPaVSMMwp4ocEOF8t0bG8thp2zBDBqtsvgL+472KbKRmZ8VgRJxV5iqR1V260S8wDry81IrkjwnM+GjhnbEF2KFcFjM+eONDgURyyOrQTzatzTY3Efm+pHIhb7nmf8JJz5tGrVihifAM5SiMGGPcmbKhp0Ehy/cj+Mw18u2QLvR/phd/KtH5kULnbmoD5jZo7lqfmdj63WPOTgucVS8SrAAhLTBrU9Nj+RuDXgTD8CtkLjZ2NBAgv3qH//HI+J9YSbmHIAAAf9sXCCjyOeL+tGbuBJPbelCJZGWGnwR+rCsML9jrtUQAREQAREQAREQAREoIYISHCvoZulroqACIiACIiACDQKAgigdhYZZ5CmDBi7bFLxM255zO3j/fffH2vXjMKIOomDlKi9fEoT0SRsb9ltHY23GNN5fdnaJFfs7pOKEJ+emlIwexLuXLExJz9m5vh7iRbkBE7gcOZYNCmIwfUqfjaDSHcZEECYxn0tqRzg5vJEA8US4FZiOu0OBwsqZIBsRCDS7X4IMgSXxc4c7MqpAf/1TKqgKneJuxtWGjjj1GKeeOIJAiwt4GLV5YkGzOc7U9otkFgevMPjlifIn+8xsZ6wXmV3KqjTLpkt+MGn/845b27gsT2nFXsuYvcHuC7hnclOOXYxCoiACIiACIiACIiACNQEAQnuNXGb1EkREAEREAEREIFGRIDTzHByzXlcWEynDBvHMqS++eablgcnJxTBkQjHcuJjHVfUnCSWUjxfEr5K7HjV2OJ23CWdt1Q6YLbe22yzTWx+i8S0POprJSV/jiQMljm2lIIPPvgg2jp+S+yEuhxVxXpxcfUEBLiVJKHtph/gls7HVe4CGMvzie4z4O7j8QbH3xwE5zIXDBQ7c/DuQp04jUmpmRPbmJ+bbbaZ5eFo0IJFyEB+FoRYJ7BVClc/SwuM111aIN9jkrEnGJ7Tf7ubNLeGdx7gsT3nwD1uELev4H0vdutDgEiXIiACIiACIiACIiAC9UKgSb20qkZFQAREQAREQAREQASSCJgjC/5y0mlSHuK/++47/iLeWR4065kzZ3IiJQbId6z5rL322rjp4INsh1k6xrYptWVMKkoZ//rrr81lPDJ9Sv2o4Zif4+09JU/dk9DZ0U/xA/7uu+/iNp0PTlHwtMMHONlNiYsiYA580ofP0ApmiB0+EwCPJcjfSM8ffPDBxx9/jJN0cnKjka2zrygUNXPQ9M0tT9Qjf2wnLdJmaZYi5KHnq1at8muLXXnK95hk74nfAQvnAB7bc7s17JNwgn60LYtp3rx5UpLiRUAEREAEykFg7Nix2A3g764clatOERCBxkNAgnvjudcaqQiIgAiIgAiIQG0QMEETb+y+K/DYriOt+m5DcPiOoMzpoBz++bvf/Y7iL6z5UBZ1D4/wOMJG3Y6tqhyR7oDWFN8j1m5JFgMKDgGX2fhqf/LJJ/ErglS9Ys3HzqXcaaedzjnnHCT4gpUUlcEI4IcnvVSxw0f5veaaa3B7wmGw1ExxdOq2bdu2bNmS7QLYnuMqPXr0aEofss8c5wS/oFjsN2elsqxVWB7XilWCvbxfm4XzPSbZe+K3mBt4Ss+zAMxCzO+nwiIgAiIgAnUkYP766liJiouACIhAgV//AiQCIiACIiACIiACIlBhAuY5Gsvr2bNn52h6yzWfQYMGoS3icAZ38I8++ihnRU6bNu3111+fNGlS1BVJjlayFHFuQHBlnu47Prs5dpZ2yRM4AXel1llnnY5rPsSsXLkS83AO8+TgWeRp9hNceeWVbdq0cZnrHlh33XWppOBBtcUOf8SIESyooOPj9PzAAw9kB0Oxkn3s0LLMHABaWbR+d39ja/MjrZTv3N9P9cOWJ90Dj+XP95hk74nfq9ICZ+sJldt2BL+VaDhLnmgpxYiACIiACIiACIiACNQvAflwr1/+al0EREAEREAEREAEQgJ2vOef/vSnMKHIa8xjMdzmIFAczOBBBdt2LLtxYl5kNfmzowjbIZlvv/12Si2c8FlQkk4pHpvkPO3EplokbmRwXz5x4kROmkWzZn2CjeTOKj+lYPYkc6KCvxf2K6SUco74U/K4JI5LRW1HOOZUTyzZd95556ja7tzou1JFBVJmDh78be2EJZz0OsnAHgs7otZOKC1YBKf/7733HtVicZ9eOan5HpOMPfnoo4/ovG0gKDlw8yCEwyU+6cN8//330zMoVQREQAREQAREQAREoAoJSHCvwpuiLomACIiACIiACDRqAhwdiYT62Wef4ZU7BQTm6qeffjo+ZMhDZry3X3HFFUn5Dz/88E6dOpGKQ5WkPOWI32GHHah20aJFKZU//PDDKanRJNOXfV86QR4cgATeeO688074YOwf5LRLXLVi+M+CBDbveHiPzZMvEnkX7Rj5Ox17UQQwyaczRx11FAd7JvUq+2pNjplj9xTRP6l14ukA8w0vRpbHijzzzDMpRUh65ZVX8BGPeTuOcdJzkprjMaFUls6TjWWq4447Dp9DhEsLnArZ92BnBqS7/WGtAiDk10cEREAEREAEREAERKC2CEhwr637pd6KgAiIgAiIgAg0fAIIyrvuuivjvPvuu1NGe9tttyFkm0U27jW4xAVNinOSrbfemtoKGtWmtJgjCRNySmFCnnQmKt5m5syZU1TNTZs2JT82yEmlcBETuJTBbho+uLZPKoLmblbVJefDUgeNzpgxI2mFAG/yBZVov9sQ4zLFBnzp0qWffvqpXyQlnGPmHHzwwVR41113IY4n1WwLDPjnMff9+L1hu8Orr776xhtvJBUh/qabbuLvfvvtl8XrUY7HhMqtJ7gSYr0qqSdY4jO72EOwxRZbkKe0wK3Rvffem0D6A85+FDsYNqmfihcBERABERABERABEahOAhLcq/O+qFciIAIiIAIiIAKNgoAJi1Ep9vjjj2f86I94I4kF8c477zz00EMYZR977LFkQBzE5zuBBQsWxOYn0vy6bLDBBi6DkzWjHXB56hjYfffdsSnGoQpesE249CvEFH3UqFHEmKMPPykljKtxUjH+jV1doM7p06cHZ8PuscceFHnkkUeS3IivWvMhj88npQ/Zk0444QQsmrG4P//883GZEhRkE8Po0aO32WabID7l0jy6vPXWW7F5cIyDLX9sUmxkjplzwAEH4CoHLZhtAbF1AnnmzJkkcUqtZWB5AM/5hIGQ5F2Hu4NMzymjPXv2jK02GlnsY0INfk/sANVotZx2QOQhhxxieylKC9yao+csReCs5rnnnot2gBi82Vx++eU48ImmMoumrPngUyiaqhgREAEREAEREAEREIF6JyDBvd5vgTogAiIgAiIgAiLQeAnYsZNR8RQD2H322QdpcsCAAebXwmdEzNChQ3FUgteOli1bWlKPHj0IXHvttRyR6me2MJG33347YaeBEkZwt5Mnox2I1pAvBuH7ggsuwH58+fLl+OjAtQve1bHKR0/EPL9Lly4vvPACjsizH79JN/C33qxZMxYJUJbNRbjrG8TOOusshHg8rrhIArvtthseSIjHCU/Uhp2VAPoAT3T5FMtxv8LsYcaOA33su++77z6kZDRlxg6Bzz//fP78+RBAnj777LOzV2iLB3ihibqpwZELEwYvMYjFVIhz/CzVFjtzUIonTJjAiDByRxQOVmtwxz9kyBD6sO2227Zv3951gBUXllVY9Rk2bFjUZT+bD8aMGUPmfv36mbsVVzAlkOMxoTbrCRPytNNOC0zImU4XX3wxYDnXlJ5Y0yUHTrWsWPTp04fAyJEjMfy3htxf6J166qlsU+jevbuLdAEE9xvXfO69914XqYAIiIAIiIAIiIAIiED1EGhSPV1RT0RABERABERABESgsRHYcccdsXKdN28eLiwQkZG/Bw8ebBBQaRHdcHyBMSz6KZIxhtIolYsXL164cCF23ByIinbpiCFuHn300WigSHi77LILfjlatGiBAI0NNfmXLVtGzkGDBpkPa1eKDuDP5Jxzztl///1/9KMfYWrtK/IuW10C2Izj6wZNGWERA2eqQoU3TzhYECPHd+jQ4YYbbrD4LA0h+KKZMkxWEfAVg9caVh2oE08gDB8h+5JLLgmOITWNGInzxRdfZIBYW7du3RpRlcw4OXnggQcAhc577rnnZulAsXlYO7nyyivHjRvH3UTkpbgjwPmZ1113nR0ta/EFK99rr73atm2LY3Gqwth8zz335PhQDPTxUI+ROEivueYa1GQ2QGDpj3cdViBs90NSzTlmDmI65u3cAjZhIE9zC3Aoz6CAyQm9LGCgrZtbfNcoayr0h/WA559/nuUQitArJjzzk05yX8jJDerbt68rkiVQ7GNCna4nNMojYz1hMrCOhY8XnPhjZX/ppZfa0abkLzlwG9fJJ5/MU8/c6927N45uuI+Y0rP6gosh7h3W92x9KPnyTxakyiMCIiACIiACIiACIlBHAhLc6whQxUVABERABERABEQgP4HOnTvjcRtnzXyoBeHYCe7I60ixKNFz587FlNW3ZkUc5DhKBDtzeeGax0YYr9O4C0eU5+PiCeCGBbW9Xbt2fiThM844A5Nz7I6tfhzUlFxwpxUE5VmzZtElVheQxbEx52BMfMpjoY8BOBnMucePf/zjoHtJl2jEEydORNLFVYt/VCwaLmr7VlttFQju1IOFOwsbpHLaJwE+rnLaxdK8f//+MHeRpQ2wXnLPPfegLONCBImZ8SJJE4n0zzoHFs3WXKwLkWhPGPhll12GOswuAT4uA6sILGxsvvnmrVq1QtemLVwPRf3YuPwukGPmsIoAQ7pBK1dffbWrim0TrA8xr8wTi4snwPSmCJnpObPaT2JxiJnP0osfmSWc4zEJeuLPBJJgiNJt3ttdB0oOnJpZBGL9ie0arEOwdMTHNcejwVYMW41zkQqIgAiIgAiIgAiIgAjUCoH/qpWOqp8iIAIiIAIiIAIiUEcCXbt2DWS+OlZYquKrV6/GGQjCKEq6M3Z2lWN8jfEyh47iigSL4E022QQr9RRtGtcoWFKjtGJojN8PDHWxR3aeZ1y1fgD7aPOHjg7Ox0+qQBhrd8x7OYGTc02RxbO3yMmoeHLHJBn9mmGyqIDWXLA46jZnZuJuhV0CAIcnomcKz4IV1j0DhuE4D0E7jnqJSancrNqR79G4MXJnsSH9LqdUZUk5Zg4F4cn8ZK8A9xGL7J133rmgXTYTntUXes5N5whcbhxbKzCQL9jDlAzFPiZWld8TZj4zAVP9pFZKDtwawo+NTWMWon7605/ShyzTOKmTiheByhOo48Ob0uGNN96YbUwpGZQUEGDHDF+GkydPZs9ckJT9kgV4jojg//LAgQOzl6qhnL169eIHQB0p1dB41VUREIEkAuX7/0WLsnBPwq54ERABERABERABEagQAWTfFJkPC2jee7N3BZEdRZ5P9iLItXyy58+eEzcdeLPBmhsZMakUVuoIr1jro60k5YmNxx6cQ1n5xKYmRSIH+77Fk7KVKh4PIUjSCMoprsmXLFlCc8XKrNyygw46qFT9pJ4cM4dS8Dz00EOL6gYTft999y2qSMHMxT4mVmFRPSk5cOsDpu6sUvApOEZlEAEREIF0ApzIguDOanR6tvRU9r1RT7H/kdPrrKpU9sBx+kgdKVXViNQZERCBKiSgQ1Or8KaoSyIgAiIgAiIgAiLQQAggpuNDHB/xKY5NcDDCaHFJH3jIaRgI8KsOAfz8JA0Hw3C8zZCKh5mkPIoXAREQAREQAREQAREQARGoFQIS3GvlTqmfIiACIiACIiACIlB7BDjec5111sEfzsyZM2N7z8GVt956K0knnHBCbIZajzQj9AcffBC/K7FjwVM/PvQx0OYAz9gMihQBERABERABESgVgeOOO47j6DlAu1QVqh4REAERiBKQ4B5lohgREAEREAEREAEREIHSEMDpPPbd1HXVVVcNGzYM0dnORyXm/fffv/LKKznKFR/WBx98MIdwlqbJKquFoy85ihb36DjD5chWzoxlJzt9ZNSclztq1KhrrrmGSw7JLJNXnyrjoe6IgAiIgAiIQH0S4FhvfplET/auzz6pbREQgQZHQD7cG9wt1YBEQAREQAREQAREoJoI4OCbI0kvvPDC36750DVs3jmvjA9hTivC0Ay5uZq6XOK+nH322Zzpio3//DUfhoxhHcd1ornTEmsSI0aMOOaYY0rcqqoTAREQAREQAREQAREQARGoDwIS3OuDutoUAREQAREQAREQgcZEYL/99ttjjz0ef/zx55577r333kNr5rzT9dZbr3Xr1nhcadmyZcOGgcJ+yimnYOf+8MMPc4bqRx99xFltnKH661//uk2bNixIrLvuug2bgEYnAiIgAjVHgH9VnPvN+uhGG21E57/55hu+w995552vvvqqWbNmu+66a7t27fxBvf76608++eTHH39MZIsWLfbaa69tt93WzxCEqefpp5/mAM9Vq1bhVYzTxXHCtt122/EvI8jpX7JHCldsfD7//HMOPtlggw3YH7bFFlv4eWLDnKTy2muvPfvss59++imV8C+Ys5r51/yDH/wgNn+WyOXLl1MVPf/5z3+ekp/TXOy/nv/PLnt/ghtBQ99+++0rr7zCgeRA5uBua5r9c/Bk6xiHvlI5m8Y4rZ2fH9EBciQsGTbbbLNoElXxPxrzAG49N4gOc3js3nvvbXMgGCPdYK8e987OvWeMnNrCQfHcGk7kpiAn3ltSUNAu6ScTBp9yX375JYeW85OAo1x22WWX2MyKFAERqDkCaV/lNTcYdVgEREAEREAEREAEUgh07dp17ty5KRmUJAIiIAIiIAIiUBSBdIG4qKqCzEiWrNEGkRW7xAdav3790EynTZt2//33T5gw4W9/+5vfOmvGU6ZMadq0Kcrs6NGj0bL9VMKHHHLIuHHjoueB42Rs1qxZbHsKKqTINttsQ1Vbb711UJVdsmg9ceJEjkUJUlH/6R4aOgI6dXIQdyAQo+qOHz8ecT8oiFbOHqxg5YCOMWQ6T1tB/uAS3yyPPfYYC+cXXXRRkOQu/+d//qd9+/bs6OIsE5qz+KL6498I0F199dXsFjN0119/PcsG1HnnnXdyL77++mvXrgVgwi1gJcOPBxfrBFFKX3zxxeWXX/7AAw/4mS3MGNmKR21+0jPPPINbvN/85jcLFix46qmnxo4dy2D9DIQPP/xwzo0PlH12+NFbDrCxjW5+ESYAOwJZkvcjFRYBESgTgfL9/6LDsnAv011TtSIgAiIgAiIgAiIgAiIgAiIgAiIgArVNAGUWLRXVGN9fqKv//ve/X3rpJQTTJUuWcDYJ53D07t0bpXXkyJHo3dhEo9tiuTxjxoyHHnoI0+/AZxpiK6d3YEONEN+jR48DDzwQ02aMuN9444158+bxl9omTZqE0B9Qw74ecRyJliRcsWGgTQbE90cffRS5uVu3bjfddFNQxC5fffXVU0899S9/+cuWW27Zs2dP1gmwp2Ylg1JYZA8ZMgSFt0OHDrFl0yOPOuooBHfGQv+x6Y7NTBP0GY3bqe25+4NKDmSaoyH2xsHN/LCzejF16lQszY1n8+bNsT3nxJTZs2fDc+jQodOnTzddPraHFvnJJ5/079//gw8+QFU/8cQTuZVUzm19/vnn58yZA3x2MFx77bVsKYhWsmjRItYettpqK+41kH/6059iJo9wf9ttt913333c6DFjxrhSzB/8yP3ud79jnwQdpmMY42Ptzv4DljrocN++fVlRSN804GpTQAREQAREQAREQAREQAREQATqmQAW7rzn6CMCIiACIiACIlAqAuX7146Fe6k6maOexYsX77DDDp06dcIAHCk8qAFvKpyJTYY+ffrsv//+CKxBBtybkIqciscYPwmzceJxdUINfjxhhGnO1iZ19913x6WJn/ruu++iWZN04403+vEWRgvGucqZZ55JQfLg58TlwfoeTZ/Ic889F/NwF28B1hIYBZ5MEJpd0g033EB+jhV1MUkBOozpN5nvvffepDxI/GRgi4BlyNEfuxHYknP6OlWhVvtw0MSBzChwMhPtA4b/FGGlxE/CbQuRPiVWQU444QQi6S099DMTxnD+pJNOIpXJgN8Yl4poTiRbAViMoSFouCQLoJuTgb6tXLnSJbFgQCRF6LmLtADrFvxSJZVJEiTpUgREoBwEyvf/i5rXKmvtqlwEREAEREAEREAEREAEREAEREAEREAEiiWAL+xii5Q8P/7HEUC7dOkS1IyBOa69icTaHftxrK2DDNihYw6Pxk0Gl4RRPFbPODHAQN5M1F0SgbXWWgtDaXyy4y/lggsu8JNwdYIozJkfKMJ+vIXxQ4Lgu3DhQnO04me47rrrsJ7Gqh0j6+9///t+EuEjjjgCa25E5MmTJwdJWS7pMDWQE3cxsfnxaI/hNmeDsyZhGXL3h3ULTPh79eqF+b9/9Av28kDGCQ+3KdoHtiBges9yBcsb0VQXc/PNN+N7nePN8aXjO5q3DPjx537hLJ7JgDW9K2UBTONJYrUDGkESIj6+fVAJcTjjklg/IIxMjzMiF2kBQDEBCHMrKRWk6lIERKC2CITfCLXVe/VWBERABERABERABERABERABERABESg4RHA4LcaBoXRcWw3WrVqRTzuWQ4++ODYDJtvvjnxdoyqZTCvL3hi4XDU2CJEIt2ijOO43LlcpwaMqZHpcf+SVAoLd0zgg1T0d2zYiUR3pp9Bql3ip36dddbBBw5nkMZmSI888sgjycAhrsj60Zw41SESa+4f//jHBOrSH046xWdLlACrBdTMianR1omh3QMOOICVj5TR4amGHQxkPu2009DWY+shHoYk4XidlY8gDwyjarvlMf/4KPWuiHU4ujRiGZgYTBvc2nCSqiuigAiIQDkIsAelHNW6OiW4OxQKiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMD/J4CQikuQWBx2hCZ+bzBMjs1gbs2dFoywi25OTjywx+a3SFyQY+ROGBHcYnAjTmCnnXbC67fFxP417dtPwqAeb+acwBlr/W056SRi/b/+9S9Ec79sxjA+zfHQQnG8nEeLmOBuVvCk1rE/eO+JnnBoqxrYsN9xxx3RDhDDoakcahr1ie8y4zad1QIcr7Mw4CKjATzz4FcdPzDY7PuprGTgyceP8cPmuf6bb75xkdZhfOzQrot0AdZa0PTpsLmnd/EKiIAI1BwBCe41d8vUYREQAREQAREQAREQAREQAREQAREQgbITQGM16+ykljjxMikpiH/nnXewa8ZWeosttgiSgkucqhODPG3xZuqOW5ggW3C5/fbbBzFWsE2bNkF8cGn9cQb1QWrBSwz2yRP1KsN4Obm0RYsWrgN16Q+6Nsp+tDObbLKJCeU41cHPOx7SzYQ8mjMpxjizrMLppkl5iKcDrHkQCAR3HNH88Ic/TCrIUa4k4fTGZTjssMNYpeAMW9zj0Gdc4rBc4VIVEAERaDAE4ncVNZjhaSAiIAIiIAIiIAIiIAIiIAIiIAIiIAK1SOCxxx7Dsrgee26CaUoH0lVav6A5XcHePGqm7WcjTB7+OictWFVzmW7eHpvhiy++IP6ZZ55J8opDKh/zXuKas8jsf/HZctFFFyGmc5Yp9v6uoEnwhx9+uIupS39Y+fjBD37gqvID559/PhI2ftgZKR+UcZYQ8M3CB48umK77maNhGzjO1qNJQYzlwZu8H5++HuPntDD5Z86ceeGFF7I2gFU+HzYZbLvmw5IJxvLZZ1S0csWIgAhkJ8DJDdkz58gpwT0HNBURAREQAREQAREQAREQAREQAREQAREoL4FqODe1VCM03zJZ9FnzUeN80VigoPSP0IxWi+Ma12EriF7/1VdfucjYAAWLNQx39WDfzRGgHAaLwj5w4ECL58xPczKDQbfLWZf+JKntVE4Hhg4d2rlzZ5Zn8MPz+uuv462Fzy233MK48LA/cuRI/NS7bgQB61WW+2J5LH9QSVGXHLLKKbWIfXQYL0N4eH9hzYdKWB7gGNuTTjqp4KpMUS0qswiIQJSAf7hCNLXuMRLc685QNYiACIiACIiACIiACIiACIiACIiACJSYAK6uu3TpUuJK66k603x9d95JHbE82HRbBitY8AhZpHZfbaesCfc9e/YcPHhwUlsliT/66KMDwR1PKZ988snOO+/861//2jVR1v7g+777ms8///lPvNnQAcR33N/fd999OIGZNWuW4+n6Y4Hc9yWop9jLLdd8cIODgs/+AI7JffTRR3HCM23aNNYMJk2alHQQa7ENKb8IiEAsgaVLl8bGlypSPtxLRVL1iIAIiIAIiIAIiIAIiIAIiIAIiIAIlIzA+++/X7K66rsiFGG68MEHH/gevWM7hepKPHbQlmqns65cuTI2s4uMsjL/8n/6059cnjIFkI7x4vLRRx85/+bmT8Ydl2rtVqY/nDtKf0444YTp06fjZwadHeZTp05NGrvdF45dTcrg4oP74uLrGMBwHu/wp5xyCu5lxo8fj237E088EfWJX8dWVFwERCAgUO7vRgnuAXBdioAIiIAIiIAIiIAIiIAIiIAIiIAI1D+B5cuX138nStSD3/zmNzgM4dzUl156Kb1K3IyQwZ0Rin9vLguWimbYeuutKYitN39TPvfcc8/pp59+7733puQpmOQfncqKAs5S0JED//vl6M8VV1yBP/TPPvsstofbbLPNqFGjSMLaPTYDkRyXyl8offvtt0l5iOeY05dffpmAuy8pmZOS6Ce9pc9JGXB536lTJ1JTOpxUVvEiIAJFESi3yzIJ7kXdDmUWAREQAREQAREQAREQAREQAREQARGoBAEEkXIbIVZiGGvawHK5Q4cOBDG7Tmn0rbfewrsIGfbbbz/LZgdpsvZAUlLBf/3rXwsWLAhSOTX0Jz/5yccff/ziiy8GSe6SgjNmzFi0aFHTpk1dZI7AoYceipv1Rx55BLX9ueee4yDW9u3bB47Ry9EfnJ/jzWbJkiVJfTaVP8WTz2abbcZaCAshUYB+nXfeeSeae8uWLTfddFM/vqgwTnXo7ezZs+0g3Niy1uGvv/46NlWRIiACJSEwf/78ktSTUokE9xQ4ShIBERABERABERABERABERABERABEYgnUAHNAoEyvu0ajMXHOMd4YsBuB4pGR8DJpTgVIR6v6M6lDE5ROPmTyEsvvRQH5dFSxHBAKI7LOT7UT+XSDM9xCP7dd9/5SS6Mjvzhhx/+6le/ateunYvMEVh33XX3339/dHbU9oceeogaMNYO6ilHf/bYYw9aSdHK3377bTJssMEGQWfcJQshHFLK5bXXXovzGRfvB/Dng4MaYk4++WQ/vtgw/uJZdaBUUR1mUWTKmg93udgWlV8ERCCWQPrCZ2yRYiMluBdLTPlFQAREQAREQARqlQDvgbXadfVbBERABERABBolgSRtuhZhbLTRRkOHDqXnY8aM4YTMYAhfffXVsGHDli1bhsJu2VyG00477Wc/+9krr7xy3nnnIcq7eAvcfffdl1122Z577omldpDUr1+/Zs2aocUPHz48auWNr3BEfIpQP67Pg7LFXpq4jyNyquWsVPySR2soeX+OO+44dHwOR508eXJ0NYKBX3LJJXTjyCOPjHbGxRx22GH77rsvh5f279+fIi7eArhux8E65u1sNcCQP0gt9rJHjx4UQdyPTgDiibz99tsJ+O7vEdxvXPOpo9ufYruq/CLQgAksXry43KNrUu4GVL8IiIAIiIAIiIAIVAmBN998s0p6om6IgAiIgAiIQAMgUG4fuCBqYM6su3XrhjuRG264YeTIkTvvvDNezrEuR+p944037r//fpK4xJgab+/+9ECCx8T51FNPfeCBB/A2jhqLIxQyYJyOF5fXX3998803xzSeDH4pwriUoeCAAQOeeeYZBHEK4tYchfqTTz4B7LPPPkuenj17mq+boGyxl7vuuis6+1NPPUVBzNuxHI/WUPL+gOucc85hAWPOnDmMqGPHjq1atVprrbXwRIStPZ3597//vddee5144onRzvgxEydOZE0C4b5r1644w0FbZ4UDQw1izE8OMaxq+EXyhamc7Qt33XUXEwB38DgOatGiBQ5t8PyzcOFClluodtCgQTvssEO++lVKBESgIAG+Hyrwz0uCe8EboQwiIAIiIAIiIAINhADvpQ1kJBqGCIiACIiACFQBATxol7sXq1ev5gTO4PjNcjda1vqRU1u3bs3JmfhqN3ft1lyTJk0wtcbY/Be/+EW0A7gimTt3LpovsrK5N7E8P/rRj1DMMc0mEC1FzBZbbEFBDMDBiJ20nwe1ms7U3Wrb6kRhx5Dc+hb1J+PaLXl/gIb7Hcjg5v7qq692DRFYf/31e/Xq1blz54L2+7ibnzp1Kj5bWAvBJY55xbGq8AODL6DevXvjDsivPHeY5QEg4DofG9vAzHbLLbfkjtTRvU/ujqmgCDQSAhMmTKjASGOWHCvQqpoQAREQAREQAREQgXohgKFTvbSrRkVABERABESg4RFAOF66dGm5x4UijGV3uVupfP14L8Gw/YsvvkAOxswZHyxZTi797LPPkOkxz8TTyMYbb7zbbrtxFGeWztPQSy+99Omnn2JPTUNou5zPiTF4lrLlyFPy/uD7BZ6rVq2CDPbpWP3nGCCHvrKH4L333sPDDyo8R6S2adOG82BLToCG2JrAHKAh1lpYG9h22205lLXkDalCERCBgABLdBWwcJfgHmDXpQiIgAiIgAiIQEMmMG/evC5dujTkEWpsIiACIiACIlApApWRLZAj//GPf1RqTGpHBERABESgwRJYsmTJ9ttvX4Hh1dtiZgXGpiZEQAREQAREQAREICBg7kqDSF2KgAiIgAiIgAgUS6AybnDpFbbAuPsotnvKLwIiIAIiIAIBgbPOOiuIKdOlBPcygVW1IiACIiACIiAC1UiggZ29Vo2I1ScREAEREIHGQeC2226r2EBxQV6xttSQCIiACIhAgyTAOjHHIFdmaBLcK8NZrYiACIiACIiACFQFgQq4mq2KcaoTIiACIiACIlBmAg8//HCZW/hP9StWrJg/f/5/rhUSAREQAREQgSIJjBgxgi1TRRbKmV0+3HOCUzEREAEREAEREIEaJTBlypQhQ4bUaOfVbREQAREQARGoEgLrrLPO6tWrK9YZDgjlKMuKNaeGREAEREAEGhIBzNs33HDDignusnBvSJNHYxEBERABERABEShMoJJb4Av3RjlEQAREQAREoAYJPPbYY5VU2yEkI/canCbqsgiIgAhUC4FKmrczZlm4V8uNVz9EQAREQAREQAQqQ6BJkyb/+Mc/KtOWWhEBERABERCBBkmgY8eODz74YIWHtv7663/22WcVblTNiYAIiIAI1DqBJUuW7LTTThUzbweXLNxrfc6o/yIgAiIgAiIgAsUR4JfWeeedV1wZ5RYBERABERABEfAIVOzcOa/N733++efdunXzYxQWAREQAREQgYIEunfvXkm1nf5IcC94U5RBBERABERABESgoRGYM2dOQxuSxiMCIiACIiAClSLAunWFlQs3MvzCYajoLhUQAREQAREQgXQCnLm9dOnS9DwlT5VLmZIjVYUiIAIiIAIiIAI1QGDevHldunSpgY6qiyIgAiIgAiJQZQQqfFxqMHqdnhoA0aUIiIAIiEASAc5KbdWqVYUPHaEzsnBPuiOKFwEREAEREAERaMgERo8e3ZCHp7GJgAiIgAiIQHkIYN5eeeXCHwqnp8qxjA9EYREQAREQgSQCHTp0qJf/WRLck+6I4kVABERABERABBoyAV7X2V3YkEeosYmACIiACIhAGQhUg1s2tqnpn3gZ7q2qFAEREIEGRWDw4MGVdyZjBOVSpkHNJA1GBERABERABEQgOwHtSc/OSjlFQAREQAREAAKYt48fP74aUDRp0mTlypXNmzevhs6oDyIgAiIgAtVG4LHHHmvfvn199UoW7vVFXu2KgAiIgAiIgAjUMwGM3LF6qOdOqHkREAEREAERqBECeMKdOHFilXSWU1tbt25Nl6qkP+qGCIiACIhA9RBAbT/kkEPqsT+ycK9H+GpaBERABERABESgngnIPq6eb4CaFwEREAERqB0Ce+655zPPPFNV/V1//fWXLFkiO/equinqjAiIgAjULwH+L+y0006sy9ZjN2ThXo/w1bQIiIAIiIAIiEA9E+B3GAfp1HMn1LwIiIAIiIAIVD2BqVOnVpvaDrPPP/+8U6dOVQ9PHRQ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zgxkbskdMde2a4PwVd+KFuvE95puiabePca3crPPcX7RSAo21UKiNuFXGOe9bWl2mvyfEyHVtTs9K04y6c9vNBb35lknAcMjbSi/dORnn71AHX6Xrum6xocWs2V3G+nyxmUTE7Qqjruz0xg5z0wazI/Hegvo9hqzXEkVhf3Bt7eeaIorEBm3c9FwjHceOK8q8Sm0sfGl/olpeXEHgy8vITrxhT91bXD5/dh8/KrkJvx0z2ziuz+J1jYvb+CrCWKJbH/hILWLygAE2bHAXHTHQY9KANV/iVosSrcT2esQaaxAGpS6dIttg9G3EZCn1IxXRalrWm6RpEmq395FDYRoHM5OVIPTGOucjAHXPFWrm3hu7WW2uI1kglQpIjDIZSMEH2xXhNhPqN14U+GlnBBFfxi/uzFFdTGOOXyDIIdzYPRRkcHOBQB6dbfETSJbq2hu7PVtNjunEdvcahYvDFKx6AMeAT2zjNaWreLNF0O9e11O8W2dLRrxmdTtEYdU69zuYAAcnPFcr4nXxlrnhjUtNv/DmhxW09u6vM+rNiLjIfmID5SA34VSi077f8UPCJ1Vorq4tvDpnd0bfG8wZBuB/iGSWB9QDQBuQ6xoHiHxR4b1FZdShvSl4tjDLA0SyrtTzGdWXPA27enU9auzeP9GSa4traO/v7y3nkt5LWytXllBQgMSBwFycbiQCemaoeIv+SteCf+vfUP8A0COovhpbQpe+NblUAml8R3KO+OSqhSB+G5vzNAGjD8RtBubIS2/22a7MrQnTo7RzdK6gFgYsZGARknjkc1f8P+LdN8RzXVtbpdW19abfPs72BoZowehKnqD6jNc94YtYB8YPHVyI1EwisFDY5w0TE/ntX8qW4LRfG5nhXMh8Lucf3iLkY/mfzoA1dQ8eaXZ6ncada2up6pc2vFyum2bTiA+jMOAfbOfarUXjLQ5/C9z4ihuy+n2qsZyI2DxFfvKyEZDD0Irgfhpd+LYPAdhLpugaVdRXJkuJLmXUmSSaRnO5nAiPOeOp6Cq2vWWrwaR8Qr3UYNNsvt2mJJJZ2l55zLIoK+YRtXG5cdudtAHbXPxH0eFZJbez1e+tIf8AXXdnYPJDFj7wLDg474zjvVPx140trX4d3Gp6RPdym9s5Hs7uzgd1QgcMzAfJ1/ix0PpXUeHbSCy8M6XaW8apDFaRIqgcY2ivL9OURfs9eIYUGI4RqCRqOiqJXwBQB0V/rei+Ivhq8usvq9nZobVZ5jbPFK0m+MqV3L8wLYBIHQmug1bxromiao+m3k8ovVgSZYI4WkeUMxVVQKCWYlTwOwz0rmviF/yRlP8AdsP/AEdFViO0hm+PU9xJGGlg8PR+WxH3S07gke+OPxNAGxpPjjTNU1hdIkttR07UZEMkNvqNq0LTKOpQnhsemc/kan1vxhpmh38WnOl3e6lKnmLZWFu00uzpuIH3V9yRWL49RV8R+B5wMSrrPlhu4Von3D8cD8qTwCqzeI/G93Pg6gdZMDE/eECRp5Q+mC1AGpYePND1DUrPTFe5g1G6keIWlxbtHLGyoXO9SOAVBIPQ9jXSO2yNnwTtBOFGSfpXnviu3tF+MngG5UKL1xfIxHVoxASM+wJOPqa9EoAz9E1qx8Q6Nbarp0pktLhS0bFSp4JByD0IIIqt4b8UaT4t0+W+0e4M9vFM0DMVK4dQCevsQfxrz5tRl8I6D480GDInt7jzNMUcfLecRhR/syFvyq5pMdp8Nde1OxYgac+hxX6HoDJbL5cuPdl8s0AbPiXWfDetaReQXt5eR22n6pBbTS26EEXAdSqAkHIyVB+tZGuePfsHxN02zEWs/Yore5S4gisJWEzgqFZQF+cDn5hkc+9ZOoaZNpvwY0trsf6dfana390T1Ms1wrnPuMgfhXVav/yWPwz/ANg28/nHQBnXviCy0b4uXV3eyTLFJoMCxQpGzySO074VYwMljjpjsfSuj0nxxpmqawukSW2o6dqMiGSG31G1aFplHUoTw2PTOfyNY8dpDN8ep7iSMNLB4ej8tiPulp3BI98cfial8eoq+I/A84GJV1nyw3cK0T7h+OB+VAHc1m6Jrtj4gsXu7CRmjSZ4HV0KskiHDKQehzWlXC6WU8MfEnW9PkYRWGswf2tAScKsqYScfUjY5/GgDpW8R6XHql/p73ASXT7Zbq7dhhIUbONzdAcKTj0Fc+fifoy23246frn9l43f2l/Zsn2fZ/fzjO33xWBZPpX/AArnXvFHia2nmtvENwZ2t4iwlkhLCO3iXBB5UL3H3j2rX1G78ZXvhu9RNA0nSLP7I6kXd600iJsP8CJtzjtuoAd48uY7iTwRcW0weGbX7ZkdGyrqY5CCD3BFdXY61ZahqmpadbuzXOnOiXClSApddy4Pfg15bCS3gD4UknP/ABNLMf8AkKSuq8I/8lE8ej/p6tP/AEnWgDqLjWrK11yy0eV2F5eRySwqFJBVMbsnt1FZWqeONL03VZNLht9Q1O/hUNPBp1q05hB6byOFz6Zz7Vla06n4yeFUBG4afekj0B2Y/ka5z4dXnixPDtxeafoOmXTXt/czXFxPqLRSPJ5rKdyiM4xgAc9B70Aei6P4n0nXNNnv7S52xW7Mtys6mJ7dlGWEitgqR71hP8T9DSD7Z9j1k6V/0Exp0n2bb/e3Yzt98YrFXSNRv/EviGTxCNK0a01XRDbXcdtqHmOTuKLMQyrgBWZcnjgCrcDeNfDmhJpl7oVh4j0yCDyBLYXHkzPCF2/NE4wzbeytzQB6BBPFc28dxBIssMqh43Q5VlIyCD3BFcN48voNO8YeCrq6uFgtYrm6eaR2wqqLdiSa6LwhdaRe+EtMn0FGTSzCBbxtnKKONpyScggjqelct8RLS1vfGPgKC9VWgOpSMVboWWPcoP8AwICgDU/4WRo0bxPd2mr2NjKwWO/vNPkit2J+7liPlB7FgBW9rev6b4d003+p3Ihg3BEwpZpHPRVUZLMfQU/XLS1vtB1C1vlVrWW3kWUN02lTk141pF5rl9cfDcx2Vvf3EGkTTwxXdwYkZxtQPu2tlgmCOO5OaAPTNP8AHml3mp2+nXNpqel3N1xbLqVm0AnPorHgn2yD7VzeuePfsHxN02zEWs/Yore5S4gisJWEzgqFZQF+cDn5hkc+9N8ZxeMtc8M3FreaNoWnqjxzR3r6sf8AR5EYFXBMQwcjHUda1NULH4v+Fy+Nx0y8zjpnMdAHT6br9hq1/qFjbNILqwMYuI5IyhTeu5Tz2IqG38U6TdeKrvw1FcltUtIRPNFtOAh29+h+8v51gX+3Qvizp9+SEtdcsXs5j0Amh/eIxPqULj8K5PSkNs+heP3BVtU1ucTk8EWtz+6iyfQeXCfxNAHqcmt2MfiGHQi7G/lt2ugioSBGrBSxPQcnFYM3xH0ZZrgWdpq2o29s5Se7sLF5oI2H3hvHXHfbmuYvJ7i7tfiT4rti2+G2k0yxcdUSCMmRlP8A10Zj/wABrQ8Kz+MNO8J6Ta6b4Y0Y2UdpH5Tf2qw3gqDuI8rqc5PuaAO2ttc0u70NdagvoH0xojN9p3YQIOpJPTGDnPTFc4vxO0Py0upLXV4dLcgJqcunyLbEHgNvI4U+pAFef65Y6vY+EtRsLiDTRFqXie332Fve744lkKl43faNgLqD93jd0rvp7nxtc2clnP4T0N7aSMxPEdVbaUIwRjyemKANrWfFui6BNZR6leCEXqSvC+0spEahm5HsRj1JwKzYPiHpL6ja2d3Z6tpv2yQRWs1/YvDFM56KGPQnsDiuH07SpE1L4UWGqTWt69r9vw8EoljPlpmPDd9oVfxWur+L6Kfhrfy4HmQz2skbd1b7RGMj8CfzoA7quE1r7T4r8eN4YW8ubXSNPtEur/7LKY3uJJCQkRZeQuFLHBGeld3XD6Cfs/xe8YRScPdWdhPED3RVkQn/AL6oAoaxpi/Du80zWdFubtNKlvI7TUbGe5kmi2SHaJV3klWVivQ8ivR64f4s/vPAj2a/6+8vrSCEdy5nQ4H4Ka7igDz77K/jzxjrNte3V0mgaNIlolrbTtCLmcqGdpGQhiFyoAzjvQts/gTxlo9pZXd1JoGss9s1rcztMLW4ClkaNnJYBgGBXPXmrPw+Pk6r41s5OJ01+WcqeuySOMofxANHj/8Af614Js4+Z211JwB12RxSFz+RFAEEGiz+NvEmtz681/HpFhc/Y7GwSaS3STaoLzMVIL5LYHOAAaTSYJfCnxHg8PWd7dXGj6hYSXKWtzM0xtJI2UZVmJbYwboSeRWz4g8Wtp9+ui6NYvquuyJvFsjbUgQ/8tJn6Ivt1PYUeGPC9zpt9da3rd6t/r14gjlmRdsUEYORFEp6IDzk8k8mgDp64XxA914l8cweFIr24tNMtrP7dqL2shjkm3MVji3jlRwzHHUcVdurvx+t9MtrpXh97QSsInkvZQ5TPBICYBxjiqmmH7P8Z9fik4e60m1miz3VXdW/UigDP17SY/h0LPxDodxeRadHdRQ6lYzXUk0TwyME8wBySrqWU5BGe9ekVw/xe+f4aanbLzNcvBBEvdnaZAAP5/hXcUAcLqWn3ni3xzeaXfSX1t4f0y2iZooJHhF7NJk8uuCVVR90HqeaqT6f/wAIN4z8PRaNd3f9m6vPJa3GnT3DzIpCFhLHvJKkEc84INdN4k8VW+gNBaRW02oatd5Fpp9tjzJcdWJPCIO7Hge9Z+g+GtSm1tfE3ii4im1VY2jtLS3z5FijfeCk8s5HBc/QcUAdfTXRZI2jdQyMCGB7g06igDhPhTJJbeHb/QLh2efQ9Rnssucs0e7ejfQhuPpXJzXdz/ws1vGgnf8As+HWl8P+Xn5RGYyjOfbzmHNbuoanH4K+IviO9lwLXUtF/tEA8BprfKMo9ypU06HwlPL8DDo7bjqM1ibwn+L7UT54/HfgfhQBo/FKaWXwpDotu7Jc61fQaejKeVDNlz9NqtWpqvi7SfD93Do6Q3l5feUGWx0+3aeRIxwGYDh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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for img in images:\n", + " display(img)" + ] + }, + { + "cell_type": "markdown", + "id": "fee39ce0", + "metadata": {}, + "source": [ + "### Image analysis with GPT-4V\n", + "\n", + "After converting a PDF file to multiple images, we'll use GPT-4V to analyze the content based on the images." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "66584c56", + "metadata": {}, + "outputs": [], + "source": [ + "# Initializing OpenAI client - see https://platform.openai.com/docs/quickstart?context=python\n", + "client = OpenAI()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "eca3a581", + "metadata": {}, + "outputs": [], + "source": [ + "# Converting images to base64 encoded images in a data URI format to use with the ChatCompletions API\n", + "def get_img_uri(img):\n", + " buffer = BytesIO()\n", + " img.save(buffer, format=\"jpeg\")\n", + " base64_image = base64.b64encode(buffer.getvalue()).decode(\"utf-8\")\n", + " data_uri = f\"data:image/jpeg;base64,{base64_image}\"\n", + " return data_uri" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "facac9e1", + "metadata": {}, + "outputs": [], + "source": [ + "system_prompt = '''\n", + "You will be provided with an image of a pdf page or a slide. Your goal is to talk about the content that you see, in technical terms, as if you were delivering a presentation.\n", + "\n", + "If there are diagrams, describe the diagrams and explain their meaning.\n", + "For example: if there is a diagram describing a process flow, say something like \"the process flow starts with X then we have Y and Z...\"\n", + "\n", + "If there are tables, describe logically the content in the tables\n", + "For example: if there is a table listing items and prices, say something like \"the prices are the following: A for X, B for Y...\"\n", + "\n", + "DO NOT include terms referring to the content format\n", + "DO NOT mention the content type - DO focus on the content itself\n", + "For example: if there is a diagram/chart and text on the image, talk about both without mentioning that one is a chart and the other is text.\n", + "Simply describe what you see in the diagram and what you understand from the text.\n", + "\n", + "You should keep it concise, but keep in mind your audience cannot see the image so be exhaustive in describing the content.\n", + "\n", + "Exclude elements that are not relevant to the content:\n", + "DO NOT mention page numbers or the position of the elements on the image.\n", + "\n", + "------\n", + "\n", + "If there is an identifiable title, identify the title to give the output in the following format:\n", + "\n", + "{TITLE}\n", + "\n", + "{Content description}\n", + "\n", + "If there is no clear title, simply return the content description.\n", + "\n", + "'''\n", + "\n", + "def analyze_image(img_url):\n", + " response = client.chat.completions.create(\n", + " model=\"gpt-4-vision-preview\",\n", + " temperature=0,\n", + " messages=[\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": system_prompt\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\n", + " \"type\": \"image_url\",\n", + " \"image_url\": img_url,\n", + " },\n", + " ],\n", + " }\n", + " ],\n", + " max_tokens=300,\n", + " top_p=0.1\n", + " )\n", + "\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "markdown", + "id": "eb7924e7", + "metadata": {}, + "source": [ + "#### Testing with an example" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "f633b375", + "metadata": {}, + "outputs": [], + "source": [ + "img = images[2]\n", + "data_uri = get_img_uri(img)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "eb2af6a9", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "What is Fine-tuning\n", + "\n", + "Fine-tuning a model consists of training the model to follow a set of given input/output examples. This will teach the model to behave in a certain way when confronted with a similar input in the future.\n", + "\n", + "We recommend using 50-100 examples even if the minimum is 10.\n", + "\n", + "The process involves starting with a public model, using training data to train the model, and resulting in a fine-tuned model.\n" + ] + } + ], + "source": [ + "res = analyze_image(data_uri)\n", + "print(res)" + ] + }, + { + "cell_type": "markdown", + "id": "14f38c8c", + "metadata": {}, + "source": [ + "#### Processing all documents" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "1e6caabd", + "metadata": {}, + "outputs": [], + "source": [ + "files_path = \"data/example_pdfs\"\n", + "\n", + "all_items = os.listdir(files_path)\n", + "files = [item for item in all_items if os.path.isfile(os.path.join(files_path, item))]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "eef714d9", + "metadata": {}, + "outputs": [], + "source": [ + "def analyze_doc_image(img):\n", + " img_uri = get_img_uri(img)\n", + " data = analyze_image(img_uri)\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "id": "4ed51467", + "metadata": {}, + "source": [ + "We will list all files in the example folder and process them by \n", + "1. Extracting the text\n", + "2. Converting the docs to images\n", + "3. Analyzing pages with GPT-4V\n", + "\n", + "Note: This takes about ~2 mins to run. Feel free to skip and load directly the result file (see below)." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "e4659b6e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Analyzing pages for doc rag-deck.pdf\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████████████████████████████████████████████████████████████| 19/19 [00:32<00:00, 1.72s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Analyzing pages for doc models-page.pdf\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|████████████████████████████████████████████████████████████████████| 9/9 [00:25<00:00, 2.80s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Analyzing pages for doc evals-decks.pdf\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████████████████████████████████████████████████████████████| 12/12 [00:29<00:00, 2.44s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Analyzing pages for doc fine-tuning-deck.pdf\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|████████████████████████████████████████████████████████████████████| 6/6 [00:19<00:00, 3.32s/it]\n" + ] + } + ], + "source": [ + "docs = []\n", + "\n", + "for f in files:\n", + " \n", + " path = f\"{files_path}/{f}\"\n", + " doc = {\n", + " \"filename\": f\n", + " }\n", + " text = extract_text_from_doc(path)\n", + " doc['text'] = text\n", + " imgs = convert_doc_to_images(path)\n", + " pages_description = []\n", + " \n", + " print(f\"Analyzing pages for doc {f}\")\n", + " \n", + " # Concurrent execution\n", + " with concurrent.futures.ThreadPoolExecutor(max_workers=8) as executor:\n", + " \n", + " # Removing 1st slide as it's usually just an intro\n", + " futures = [\n", + " executor.submit(analyze_doc_image, img)\n", + " for img in imgs[1:]\n", + " ]\n", + " \n", + " with tqdm(total=len(imgs)-1) as pbar:\n", + " for _ in concurrent.futures.as_completed(futures):\n", + " pbar.update(1)\n", + " \n", + " for f in futures:\n", + " res = f.result()\n", + " pages_description.append(res)\n", + " \n", + " doc['pages_description'] = pages_description\n", + " docs.append(doc)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "457e74cd", + "metadata": {}, + "outputs": [], + "source": [ + "# Saving result to file for later\n", + "json_path = \"data/parsed_pdf_docs.json\"\n", + "\n", + "with open(json_path, 'w') as f:\n", + " json.dump(docs, f)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "3d5bbdd7", + "metadata": {}, + "outputs": [], + "source": [ + "# Optional: load content from the saved file\n", + "with open(json_path, 'r') as f:\n", + " docs = json.load(f)" + ] + }, + { + "cell_type": "markdown", + "id": "b64ec4ca", + "metadata": {}, + "source": [ + "### Embedding content\n", + "Before embedding the content, we will chunk it logically by page.\n", + "For real-world scenarios, you could explore more advanced ways to chunk the content:\n", + "- Cutting it into smaller pieces\n", + "- Adding data - such as the slide title, deck title and/or the doc description - at the beginning of each piece of content. That way, each independent chunk can be in context\n", + "\n", + "For the sake of brevity, we will use a very simple chunking strategy and rely on separators to split the text by page." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "2e8b57bd", + "metadata": {}, + "outputs": [], + "source": [ + "# Chunking content by page and merging together slides text & description if applicable\n", + "content = []\n", + "for doc in docs:\n", + " # Removing first slide as well\n", + " text = doc['text'].split('\\f')[1:]\n", + " description = doc['pages_description']\n", + " description_indexes = []\n", + " for i in range(len(text)):\n", + " slide_content = text[i] + '\\n'\n", + " # Trying to find matching slide description\n", + " slide_title = text[i].split('\\n')[0]\n", + " for j in range(len(description)):\n", + " description_title = description[j].split('\\n')[0]\n", + " if slide_title.lower() == description_title.lower():\n", + " slide_content += description[j].replace(description_title, '')\n", + " # Keeping track of the descriptions added\n", + " description_indexes.append(j)\n", + " # Adding the slide content + matching slide description to the content pieces\n", + " content.append(slide_content) \n", + " # Adding the slides descriptions that weren't used\n", + " for j in range(len(description)):\n", + " if j not in description_indexes:\n", + " content.append(description[j])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36af40f8", + "metadata": {}, + "outputs": [], + "source": [ + "for c in content:\n", + " print(c)\n", + " print(\"\\n\\n-------------------------------\\n\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "66dc8272", + "metadata": {}, + "outputs": [], + "source": [ + "# Cleaning up content\n", + "# Removing trailing spaces, additional line breaks, page numbers and references to the content being a slide\n", + "clean_content = []\n", + "for c in content:\n", + " text = c.replace(' \\n', '').replace('\\n\\n', '\\n').replace('\\n\\n\\n', '\\n').strip()\n", + " text = re.sub(r\"(?<=\\n)\\d{1,2}\", \"\", text)\n", + " text = re.sub(r\"\\b(?:the|this)\\s*slide\\s*\\w+\\b\", \"\", text, flags=re.IGNORECASE)\n", + " clean_content.append(text)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ed28dbb5", + "metadata": {}, + "outputs": [], + "source": [ + "for c in clean_content:\n", + " print(c)\n", + " print(\"\\n\\n-------------------------------\\n\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "763ae4bd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(64, 1)\n" + ] + }, + { + "data": { + "text/html": [ + "
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content
0Overview\\nRetrieval-Augmented Generationenhanc...
1What is RAG\\nRetrieve information to Augment t...
2When to use RAG\\nGood for ✅\\nNot good for ❌\\...
3Technical patterns\\nData preparation\\nInput pr...
4Technical patterns\\nData preparation\\nchunk do...
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" + ], + "text/plain": [ + " content\n", + "0 Overview\\nRetrieval-Augmented Generationenhanc...\n", + "1 What is RAG\\nRetrieve information to Augment t...\n", + "2 When to use RAG\\nGood for ✅\\nNot good for ❌\\...\n", + "3 Technical patterns\\nData preparation\\nInput pr...\n", + "4 Technical patterns\\nData preparation\\nchunk do..." + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Creating the embeddings\n", + "# We'll save to a csv file here for testing purposes but this is where you should load content in your vectorDB.\n", + "df = pd.DataFrame(clean_content, columns=['content'])\n", + "print(df.shape)\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "c6a47f32", + "metadata": {}, + "outputs": [], + "source": [ + "embeddings_model = \"text-embedding-3-large\"\n", + "\n", + "def get_embeddings(text):\n", + " embeddings = client.embeddings.create(\n", + " model=\"text-embedding-3-small\",\n", + " input=text,\n", + " encoding_format=\"float\"\n", + " )\n", + " return embeddings.data[0].embedding" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "8d22b06e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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contentembeddings
0Overview\\nRetrieval-Augmented Generationenhanc...[-0.014744381, 0.03017278, 0.06353764, 0.02110...
1What is RAG\\nRetrieve information to Augment t...[-0.024337867, 0.022921458, -0.00971687, 0.010...
2When to use RAG\\nGood for ✅\\nNot good for ❌\\...[-0.011084231, 0.021158217, -0.00430421, 0.017...
3Technical patterns\\nData preparation\\nInput pr...[-0.0058343858, 0.0408407, 0.054318383, 0.0190...
4Technical patterns\\nData preparation\\nchunk do...[-0.010359385, 0.03736894, 0.052995477, 0.0180...
\n", + "
" + ], + "text/plain": [ + " content \\\n", + "0 Overview\\nRetrieval-Augmented Generationenhanc... \n", + "1 What is RAG\\nRetrieve information to Augment t... \n", + "2 When to use RAG\\nGood for ✅\\nNot good for ❌\\... \n", + "3 Technical patterns\\nData preparation\\nInput pr... \n", + "4 Technical patterns\\nData preparation\\nchunk do... \n", + "\n", + " embeddings \n", + "0 [-0.014744381, 0.03017278, 0.06353764, 0.02110... \n", + "1 [-0.024337867, 0.022921458, -0.00971687, 0.010... \n", + "2 [-0.011084231, 0.021158217, -0.00430421, 0.017... \n", + "3 [-0.0058343858, 0.0408407, 0.054318383, 0.0190... \n", + "4 [-0.010359385, 0.03736894, 0.052995477, 0.0180... " + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['embeddings'] = df['content'].apply(lambda x: get_embeddings(x))\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "c0e9a5d3", + "metadata": {}, + "outputs": [], + "source": [ + "# Saving locally for later\n", + "data_path = \"data/parsed_pdf_docs_with_embeddings.csv\"\n", + "df.to_csv(data_path, index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "9c1c27ff", + "metadata": {}, + "outputs": [], + "source": [ + "# Optional: load data from saved file\n", + "df = pd.read_csv(data_path)\n", + "df[\"embeddings\"] = df.embeddings.apply(literal_eval).apply(np.array)" + ] + }, + { + "cell_type": "markdown", + "id": "aafa06b6", + "metadata": {}, + "source": [ + "## Retrieval-augmented generation\n", + "\n", + "The last step of the process is to generate outputs in response to input queries, after retrieving content as context to reply." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "27753ec2", + "metadata": {}, + "outputs": [], + "source": [ + "system_prompt = '''\n", + " You will be provided with an input prompt and content as context that can be used to reply to the prompt.\n", + " \n", + " You will do 2 things:\n", + " \n", + " 1. First, you will internally assess whether the content provided is relevant to reply to the input prompt. \n", + " \n", + " 2a. If that is the case, answer directly using this content. If the content is relevant, use elements found in the content to craft a reply to the input prompt.\n", + "\n", + " 2b. If the content is not relevant, use your own knowledge to reply or say that you don't know how to respond if your knowledge is not sufficient to answer.\n", + " \n", + " Stay concise with your answer, replying specifically to the input prompt without mentioning additional information provided in the context content.\n", + "'''\n", + "\n", + "model=\"gpt-4-turbo-preview\"\n", + "\n", + "def search_content(df, input_text, top_k):\n", + " embedded_value = get_embeddings(input_text)\n", + " df[\"similarity\"] = df.embeddings.apply(lambda x: cosine_similarity(np.array(x).reshape(1,-1), np.array(embedded_value).reshape(1, -1)))\n", + " res = df.sort_values('similarity', ascending=False).head(top_k)\n", + " return res\n", + "\n", + "def get_similarity(row):\n", + " similarity_score = row['similarity']\n", + " if isinstance(similarity_score, np.ndarray):\n", + " similarity_score = similarity_score[0][0]\n", + " return similarity_score\n", + "\n", + "def generate_output(input_prompt, similar_content, threshold = 0.5):\n", + " \n", + " content = similar_content.iloc[0]['content']\n", + " \n", + " # Adding more matching content if the similarity is above threshold\n", + " if len(similar_content) > 1:\n", + " for i, row in similar_content.iterrows():\n", + " similarity_score = get_similarity(row)\n", + " if similarity_score > threshold:\n", + " content += f\"\\n\\n{row['content']}\"\n", + " \n", + " prompt = f\"INPUT PROMPT:\\n{input_prompt}\\n-------\\nCONTENT:\\n{content}\"\n", + " \n", + " completion = client.chat.completions.create(\n", + " model=model,\n", + " temperature=0.5,\n", + " messages=[\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": system_prompt\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": prompt\n", + " }\n", + " ]\n", + " )\n", + "\n", + " return completion.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "5c1173f5", + "metadata": {}, + "outputs": [], + "source": [ + "# Example user queries related to the content\n", + "example_inputs = [\n", + " 'What are the main models you offer?',\n", + " 'Do you have a speech recognition model?',\n", + " 'Which embedding model should I use for non-English use cases?',\n", + " 'Can I introduce new knowledge in my LLM app using RAG?',\n", + " 'How many examples do I need to fine-tune a model?',\n", + " 'Which metric can I use to evaluate a summarization task?',\n", + " 'Give me a detailed example for an evaluation process where we are looking for a clear answer to compare to a ground truth.',\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "304cb806", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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Models - OpenAI API\n",
+       "The content lists various API endpoints and their corresponding latest models:\n",
+       "-...[/]\n",
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26/02/2024, 17:58\n",
+       "Models - OpenAI API\n",
+       "The Moderation models are designed to check whether content co...[/]\n",
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The content describes various models provided by OpenAI, focusing on moderation models and GPT base ...[/]\n",
+       "\n",
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REPLY:\n",
+       "\n",
+       "The main models we offer include:\n",
+       "- For completions: gpt-3.5-turbo-instruct, babbage-002, and davinci-002.\n",
+       "- For embeddings: text-embedding-3-small, text-embedding-3-large, and text-embedding-ada-002.\n",
+       "- For fine-tuning jobs: gpt-3.5-turbo, babbage-002, and davinci-002.\n",
+       "- For moderations: text-moderation-stable and text-moderation.\n",
+       "Additionally, we have the latest models like gpt-3.5-turbo-16k and fine-tuned versions of gpt-3.5-turbo.\n",
+       "\n",
+       "--------------\n",
+       "\n",
+       "\n",
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QUERY: Do you have a speech recognition model?\n",
+       "\n",
+       "\n",
+       "
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+       "\n",
+       "
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+       "
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The content describes various models related to text-to-speech, speech recognition, embeddings, and ...[/]\n",
+       "\n",
+       "\n",
+       "
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+       "
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26/02/2024, 17:58\n",
+       "Models - OpenAI API\n",
+       "MODEL\n",
+       "DE S CRIPTION\n",
+       "tts-1\n",
+       "New  Text-to-speech 1\n",
+       "The latest tex...[/]\n",
+       "\n",
+       "\n",
+       "
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+       "
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26/02/2024, 17:58\n",
+       "Models - OpenAI API\n",
+       "ENDP OINT\n",
+       "DATA USED\n",
+       "FOR TRAINING\n",
+       "DEFAULT\n",
+       "RETENTION\n",
+       "ELIGIBLE FO...[/]\n",
+       "\n",
+       "\n",
+       "
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REPLY:\n",
+       "\n",
+       "Yes, the Whisper model is a general-purpose speech recognition model mentioned in the content, capable of \n",
+       "multilingual speech recognition, speech translation, and language identification. The v2-large model, referred to \n",
+       "as \"whisper-1\", is available through an API and is optimized for faster performance.\n",
+       "\n",
+       "--------------\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;38;5;30mREPLY:\u001b[0m\n", + "\n", + "\u001b[38;5;29mYes, the Whisper model is a general-purpose speech recognition model mentioned in the content, capable of \u001b[0m\n", + "\u001b[38;5;29mmultilingual speech recognition, speech translation, and language identification. The v2-large model, referred to \u001b[0m\n", + "\u001b[38;5;29mas \u001b[0m\u001b[38;5;29m\"whisper-1\"\u001b[0m\u001b[38;5;29m, is available through an API and is optimized for faster performance.\u001b[0m\n", + "\n", + "--------------\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
QUERY: Which embedding model should I use for non-English use cases?\n",
+       "\n",
+       "\n",
+       "
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Matching content:\n",
+       "\n",
+       "
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+       "
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The content describes various models related to text-to-speech, speech recognition, embeddings, and ...[/]\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[38;5;59mThe content describes various models related to text-to-speech, speech recognition, embeddings, and \u001b[0m\u001b[38;5;59m...\u001b[0m\u001b[1;38;5;59m[\u001b[0m\u001b[38;5;59m/\u001b[0m\u001b[1;38;5;59m]\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
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+       "
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26/02/2024, 17:58\n",
+       "Models - OpenAI API\n",
+       "MODEL\n",
+       "DE S CRIPTION\n",
+       "tts-1\n",
+       "New  Text-to-speech 1\n",
+       "The latest tex...[/]\n",
+       "\n",
+       "\n",
+       "
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+       "
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26/02/2024, 17:58\n",
+       "Models - OpenAI API\n",
+       "Multilingual capabilities\n",
+       "GPT-4 outperforms both previous larg...[/]\n",
+       "\n",
+       "\n",
+       "
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REPLY:\n",
+       "\n",
+       "For non-English use cases, you should use the \"V3 large\" embedding model, as it is described as the most capable \n",
+       "for both English and non-English tasks, with an output dimension of 3,072.\n",
+       "\n",
+       "--------------\n",
+       "\n",
+       "\n",
+       "
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QUERY: Can I introduce new knowledge in my LLM app using RAG?\n",
+       "\n",
+       "\n",
+       "
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Matching content:\n",
+       "\n",
+       "
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+       "
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What is RAG\n",
+       "Retrieve information to Augment the model’s knowledge and Generate the output\n",
+       "“What is y...[/]\n",
+       "\n",
+       "\n",
+       "
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+       "
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When to use RAG\n",
+       "Good for  ✅\n",
+       "Not good for  ❌\n",
+       "●\n",
+       "●\n",
+       "Introducing new information to the model\n",
+       "●\n",
+       "Teaching ...[/]\n",
+       "\n",
+       "\n",
+       "
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+       "
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Technical patterns\n",
+       "Data preparation: augmenting content\n",
+       "What does “Augmentingcontent” mean?\n",
+       "Augmenti...[/]\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[38;5;59mTechnical patterns\u001b[0m\n", + "\u001b[38;5;59mData preparation: augmenting content\u001b[0m\n", + "\u001b[38;5;59mWhat does “Augmentingcontent” mean?\u001b[0m\n", + "\u001b[38;5;59mAugmenti\u001b[0m\u001b[38;5;59m...\u001b[0m\u001b[1;38;5;59m[\u001b[0m\u001b[38;5;59m/\u001b[0m\u001b[1;38;5;59m]\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
REPLY:\n",
+       "\n",
+       "Yes, you can introduce new knowledge in your LLM app using RAG by retrieving information from a knowledge base or \n",
+       "external sources to augment the model's knowledge and generate outputs relevant to the queries posed.\n",
+       "\n",
+       "--------------\n",
+       "\n",
+       "\n",
+       "
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QUERY: How many examples do I need to fine-tune a model?\n",
+       "\n",
+       "\n",
+       "
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Matching content:\n",
+       "\n",
+       "
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+       "
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What is Fine-tuning\n",
+       "Public Model\n",
+       "Training data\n",
+       "Training\n",
+       "Fine-tunedmodel\n",
+       "Fine-tuning a model consists...[/]\n",
+       "\n",
+       "\n",
+       "
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+       "
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When to fine-tune\n",
+       "Fine-tuning is good for:\n",
+       "- Following a given format or tone for the output\n",
+       "- Proce...[/]\n",
+       "\n",
+       "\n",
+       "
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+       "
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Overview\n",
+       "Fine-tuning involves adjusting theparameters of pre-trained models on aspecific dataset or t...[/]\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[38;5;59mOverview\u001b[0m\n", + "\u001b[38;5;59mFine-tuning involves adjusting theparameters of pre-trained models on aspecific dataset or t\u001b[0m\u001b[38;5;59m...\u001b[0m\u001b[1;38;5;59m[\u001b[0m\u001b[38;5;59m/\u001b[0m\u001b[1;38;5;59m]\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
REPLY:\n",
+       "\n",
+       "We recommend using 50-100 examples for fine-tuning a model, even though the minimum is 10.\n",
+       "\n",
+       "--------------\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;38;5;30mREPLY:\u001b[0m\n", + "\n", + "\u001b[38;5;29mWe recommend using \u001b[0m\u001b[1;38;5;29m50\u001b[0m\u001b[38;5;29m-\u001b[0m\u001b[1;38;5;29m100\u001b[0m\u001b[38;5;29m examples for fine-tuning a model, even though the minimum is \u001b[0m\u001b[1;38;5;29m10\u001b[0m\u001b[38;5;29m.\u001b[0m\n", + "\n", + "--------------\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
QUERY: Which metric can I use to evaluate a summarization task?\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;38;5;125mQUERY:\u001b[0m\u001b[38;5;125m Which metric can I use to evaluate a summarization task?\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Matching content:\n",
+       "\n",
+       "
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+       "
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Technical patterns\n",
+       "Metric-based evaluations\n",
+       "ROUGE is a common metric for evaluating machine summariz...[/]\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[38;5;59mTechnical patterns\u001b[0m\n", + "\u001b[38;5;59mMetric-based evaluations\u001b[0m\n", + "\u001b[38;5;59mROUGE is a common metric for evaluating machine summariz\u001b[0m\u001b[38;5;59m...\u001b[0m\u001b[1;38;5;59m[\u001b[0m\u001b[38;5;59m/\u001b[0m\u001b[1;38;5;59m]\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Similarity: 0.49\n",
+       "
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Technical patterns\n",
+       "Metric-based evaluations\n",
+       "Component evaluations\n",
+       "Subjective evaluations\n",
+       "●\n",
+       "●\n",
+       "Compari...[/]\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[38;5;59mTechnical patterns\u001b[0m\n", + "\u001b[38;5;59mMetric-based evaluations\u001b[0m\n", + "\u001b[38;5;59mComponent evaluations\u001b[0m\n", + "\u001b[38;5;59mSubjective evaluations\u001b[0m\n", + "\u001b[38;5;59m●\u001b[0m\n", + "\u001b[38;5;59m●\u001b[0m\n", + "\u001b[38;5;59mCompari\u001b[0m\u001b[38;5;59m...\u001b[0m\u001b[1;38;5;59m[\u001b[0m\u001b[38;5;59m/\u001b[0m\u001b[1;38;5;59m]\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Similarity: 0.48\n",
+       "
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Technical patterns\n",
+       "Metric-based evaluations\n",
+       "BLEU score is another standard metric, this time focusin...[/]\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[38;5;59mTechnical patterns\u001b[0m\n", + "\u001b[38;5;59mMetric-based evaluations\u001b[0m\n", + "\u001b[38;5;59mBLEU score is another standard metric, this time focusin\u001b[0m\u001b[38;5;59m...\u001b[0m\u001b[1;38;5;59m[\u001b[0m\u001b[38;5;59m/\u001b[0m\u001b[1;38;5;59m]\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
REPLY:\n",
+       "\n",
+       "ROUGE is a common metric you can use to evaluate a summarization task.\n",
+       "\n",
+       "--------------\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;38;5;30mREPLY:\u001b[0m\n", + "\n", + "\u001b[38;5;29mROUGE is a common metric you can use to evaluate a summarization task.\u001b[0m\n", + "\n", + "--------------\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
QUERY: Give me a detailed example for an evaluation process where we are looking for a clear answer to compare to a\n",
+       "ground truth.\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;38;5;125mQUERY:\u001b[0m\u001b[38;5;125m Give me a detailed example for an evaluation process where we are looking for a clear answer to compare to a\u001b[0m\n", + "\u001b[38;5;125mground truth.\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Matching content:\n",
+       "\n",
+       "
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+       "
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What are evals\n",
+       "Example\n",
+       "Our ground truth matches the predicted answer, so the evaluation passes!\n",
+       "Eval...[/]\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[38;5;59mWhat are evals\u001b[0m\n", + "\u001b[38;5;59mExample\u001b[0m\n", + "\u001b[38;5;59mOur ground truth matches the predicted answer, so the evaluation passes!\u001b[0m\n", + "\u001b[38;5;59mEval\u001b[0m\u001b[38;5;59m...\u001b[0m\u001b[1;38;5;59m[\u001b[0m\u001b[38;5;59m/\u001b[0m\u001b[1;38;5;59m]\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Similarity: 0.59\n",
+       "
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What are evals\n",
+       "Example\n",
+       "An evaluation contains a question and a correct answer. We call this the grou...[/]\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[38;5;59mWhat are evals\u001b[0m\n", + "\u001b[38;5;59mExample\u001b[0m\n", + "\u001b[38;5;59mAn evaluation contains a question and a correct answer. We call this the grou\u001b[0m\u001b[38;5;59m...\u001b[0m\u001b[1;38;5;59m[\u001b[0m\u001b[38;5;59m/\u001b[0m\u001b[1;38;5;59m]\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
Similarity: 0.50\n",
+       "
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Technical patterns\n",
+       "Metric-based evaluations\n",
+       "What they’re good for\n",
+       "What to be aware of\n",
+       "●\n",
+       "●\n",
+       "A good sta...[/]\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[38;5;59mTechnical patterns\u001b[0m\n", + "\u001b[38;5;59mMetric-based evaluations\u001b[0m\n", + "\u001b[38;5;59mWhat they’re good for\u001b[0m\n", + "\u001b[38;5;59mWhat to be aware of\u001b[0m\n", + "\u001b[38;5;59m●\u001b[0m\n", + "\u001b[38;5;59m●\u001b[0m\n", + "\u001b[38;5;59mA good sta\u001b[0m\u001b[38;5;59m...\u001b[0m\u001b[1;38;5;59m[\u001b[0m\u001b[38;5;59m/\u001b[0m\u001b[1;38;5;59m]\u001b[0m\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
REPLY:\n",
+       "\n",
+       "The content provided is relevant and offers a detailed example for an evaluation process comparing to a ground \n",
+       "truth. Here's a concise explanation based on the content:\n",
+       "\n",
+       "In the given example, the evaluation process involves a question-and-answer scenario to verify the accuracy of \n",
+       "information retrieved by a tool or system in response to a query. The question posed is, \"What is the population of\n",
+       "Canada?\" The ground truth, or the correct answer, is established as \"The population of Canada in 2023 is 39,566,248\n",
+       "people.\" A tool labeled \"LLM\" is then used to search for the answer, which predicts \"The current population of \n",
+       "Canada is 39,566,248 as of Tuesday, May 23, 2023.\" This predicted answer matches the ground truth exactly, \n",
+       "indicating that the evaluation passes. This process demonstrates how an evaluation can be used to verify the \n",
+       "accuracy of information retrieved by a tool, comparing the predicted answer to the ground truth to ensure \n",
+       "correctness.\n",
+       "\n",
+       "--------------\n",
+       "\n",
+       "\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;38;5;30mREPLY:\u001b[0m\n", + "\n", + "\u001b[38;5;29mThe content provided is relevant and offers a detailed example for an evaluation process comparing to a ground \u001b[0m\n", + "\u001b[38;5;29mtruth. Here's a concise explanation based on the content:\u001b[0m\n", + "\n", + "\u001b[38;5;29mIn the given example, the evaluation process involves a question-and-answer scenario to verify the accuracy of \u001b[0m\n", + "\u001b[38;5;29minformation retrieved by a tool or system in response to a query. The question posed is, \u001b[0m\u001b[38;5;29m\"What is the population of\u001b[0m\n", + "\u001b[38;5;29mCanada?\"\u001b[0m\u001b[38;5;29m The ground truth, or the correct answer, is established as \u001b[0m\u001b[38;5;29m\"The population of Canada in 2023 is 39,566,248\u001b[0m\n", + "\u001b[38;5;29mpeople.\"\u001b[0m\u001b[38;5;29m A tool labeled \u001b[0m\u001b[38;5;29m\"LLM\"\u001b[0m\u001b[38;5;29m is then used to search for the answer, which predicts \u001b[0m\u001b[38;5;29m\"The current population of \u001b[0m\n", + "\u001b[38;5;29mCanada is 39,566,248 as of Tuesday, May 23, 2023.\"\u001b[0m\u001b[38;5;29m This predicted answer matches the ground truth exactly, \u001b[0m\n", + "\u001b[38;5;29mindicating that the evaluation passes. This process demonstrates how an evaluation can be used to verify the \u001b[0m\n", + "\u001b[38;5;29maccuracy of information retrieved by a tool, comparing the predicted answer to the ground truth to ensure \u001b[0m\n", + "\u001b[38;5;29mcorrectness.\u001b[0m\n", + "\n", + "--------------\n", + "\n", + "\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Running the RAG pipeline on each example\n", + "for ex in example_inputs:\n", + " print(f\"[deep_pink4][bold]QUERY:[/bold] {ex}[/deep_pink4]\\n\\n\")\n", + " matching_content = search_content(df, ex, 3)\n", + " print(f\"[grey37][b]Matching content:[/b][/grey37]\\n\")\n", + " for i, match in matching_content.iterrows():\n", + " print(f\"[grey37][i]Similarity: {get_similarity(match):.2f}[/i][/grey37]\")\n", + " print(f\"[grey37]{match['content'][:100]}{'...' if len(match['content']) > 100 else ''}[/[grey37]]\\n\\n\")\n", + " reply = generate_output(ex, matching_content)\n", + " print(f\"[turquoise4][b]REPLY:[/b][/turquoise4]\\n\\n[spring_green4]{reply}[/spring_green4]\\n\\n--------------\\n\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "a4dedf9c", + "metadata": {}, + "source": [ + "## Wrapping up\n", + "\n", + "In this notebook, we have learned how to develop a basic RAG pipeline based on PDF documents. This includes:\n", + "\n", + "- How to parse pdf documents, taking slide decks and an export from an HTML page as examples, using a python library as well as GPT-4V to interpret the visuals\n", + "- How to process the extracted content, clean it and chunk it into several pieces\n", + "- How to embed the processed content using OpenAI embeddings\n", + "- How to retrieve content that is relevant to an input query\n", + "- How to use GPT-4-turbo to generate an answer using the retrieved content as context\n", + "\n", + "If you want to explore further, consider these optimisations:\n", + "\n", + "- Playing around with the prompts provided as examples\n", + "- Chunking the content further and adding metadata as context to each chunk\n", + "- Adding rule-based filtering on the retrieval results or re-ranking results to surface to most relevant content\n", + "\n", + "You can apply the techniques covered in this notebook to multiple use cases, such as assistants that can access your proprietary data, customer service or FAQ bots that can read from your internal policies, or anything that requires leveraging rich documents that would be better understood as images." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/data/example_pdfs/evals-decks.pdf b/examples/data/example_pdfs/evals-decks.pdf new file mode 100644 index 0000000000000000000000000000000000000000..833c159a2d427d08c9a54f14b130274de6d90a9a GIT binary patch literal 575891 zcmeFZ2RvL|+b_JwU_^9AXC^_2UZRDl(IQGj7e<2UC3+HFh+cz)Xh9^1L3E*0ZPR4K9%-*wSt+lUpmH+j>7Kip#Wj-N(5n_(E 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zCyz%o?m%d@=3VwvBM`b>@7))~va@Xde68*FN8IfQ@P>>YQ6^%wKa}L$_=7DSf0@07 zOMWL}sk)rT9zORl=HBehqV3?g#xyI)Po=yVWlj4!@yHEnJM^dF*pS}xIi~I2^c!;d z=I&OFM;z&?Jg8?|96D=omp4*L-8t}XioU$gp>3%~7&mus%%~724K4fU6Bd?8;e+|l zy0(fkcLgf$UJK26r=qB%D=_Ds31!zq>&fE!;5g*z&4O14aE5_AOV8g2z!QlC>8L@y zspoyo%)7J^l{x(RKf}0rW;gmPwtVnn=|aY-a$G2Da$9|Ix_9}8G+2Z^m)!1&Ama>@VYR)R$oDW%qi_!&a4e4^-|JEH>Y&*IT^BDfwsq| zYA3??9d!uTPX)Z$`zpEl-Sga=Jb4sqL>S$8@kVGoWnR8{JjC}tBDUdPSpVfo#c!S& zt}RFL!>E|1*zwsGjWWJ_TL>eV3U#egGHjNq4C8>X262*3k6H zoYP;9u%5H++2PkCPWiFOaik zB{J$})7SjzzaqXiNDqf=p6BGRsPw2`wsU z+Xl(E2&>FDlzJm-b>2R)Ek5jc)?o9!aa8Yt+?$nq^Z}2qk6at1TeLH`j@5h2!PLQQ`rrBYMSzW(`mNa~->v_F$v&hM%+?H{4&DlY^eu+XM>Aya8{x!i@3A;;$o{XFP9?ALu z@t?w)Dtd2+suF+U=GFX*^~iJUHXZ#xyS43ggH|Q<#ZCVgWBjjGn?l@pE0)>Z)D&9S zHElQf*Ry|)LuotX7N(!AW;Kj5mF2s}{%l$}DgS&|x#1WzoBaE%JmY=E#K9@(*&F4F zEpI|&QxEWE-|l-SwfNJqwp+^{!TUe#V}I=&3Yi%YY-8l!{^Fkk*}wLW8ZM+iYZM=h z6VLDX{YR&BYaaYnK+CNB>#(qWTo7D7dL;tinzyeutv_|_+w1tNjr(dW%p}Iwcjwqs zaqfe$lsjMDo{z{JI6G1AnVbdL}dZZU3OZrPGdOCMBo)zjZPpDe8d#q2zRW zD(w_#HV}vjMES?O^?qjRiDUj~%x*j~=57D|nF;9`IsSj!y(gS@DkC{7<84saJ3Toe zg9b*3pwXx&)&~870!G=LkO7qL4n`xzS~SiAgB{hNj*5HLv4SL5fjwR_Mf z08Yb$RvRzTP$(i6398AjT|XO-h=S`N5^4L>p}zAb+HAHL%EDcBCItV`1yEXX4tikCO@ZPh=kb z<`@#lVXl05cz(f8qdSFq&eJ-+CB0Q$CC;|!z zw;7GZ5?$BaC6@qMG(0Xrg1`ebzU%|gpu}aqAk*Ps_`{+xYfUC#vUr!=3HZ=1zDMKH zuJa&(9n)nz>{?Hdwd<#t!J-L77hi!L9_i`>5FjvFpaPC@km@j?p~cHOKsF$_$P#fx zI5vPOt~y94A}oHfL=pfXOb3yOC&A}SB)Q~CAnTG301Xe1a~#;baWK7LuO-2A7~lf{ zeAyO2!@=_qpb-eLHOB#LfEG|M`3mgacr46+fDirO$l~F-6Y!DXxdgYCc;WV8)}jWc z7lS3h_dy^_BEb9%j%naf1CzyK@NhhXz1t;L0gVX90ib~ehK~pAgRLbFOap#i!-0JU zo+AL?T1%jpeF|uBTme2Td=CI8Gu+SPC?h=~^+a;|hP5Vh2U2sA*AA`zL4T*wGC&`g zAG*>6{pC~&4Uhql{r~PC^q1ZKNBl$a;HZE~1V~1uBqk-I6F` 30 days\n\n\u201cYou can get a full refund up \nto 14 days after the \npurchase, then up to 30 days \nyou would get a voucher for \nhalf the value of your order\u201d\n\nKnowledge \nBase / External \nsources\n\n4\n\n\fWhen to use RAG\n\nGood for \u2705\n\nNot good for \u274c\n\n\u25cf\n\n\u25cf\n\nIntroducing new information to the model \n\n\u25cf\n\nTeaching the model a speci\ufb01c format, style, \n\nto update its knowledge\n\nReducing hallucinations by controlling \n\ncontent\n\n/!\\ Hallucinations can still happen with RAG\n\nor language\n\u2794 Use \ufb01ne-tuning or custom models instead\n\n\u25cf\n\nReducing token usage\n\u2794 Consider \ufb01ne-tuning depending on the use \n\ncase\n\n5\n\n\fTechnical patterns\n\nData preparation\n\nInput processing\n\nRetrieval\n\nAnswer Generation\n\n\u25cf Chunking\n\n\u25cf\n\n\u25cf\n\nEmbeddings\n\nAugmenting \ncontent\n\n\u25cf\n\nInput \naugmentation\n\n\u25cf NER\n\n\u25cf\n\nSearch\n\n\u25cf Context window\n\n\u25cf Multi-step \nretrieval\n\n\u25cf Optimisation\n\n\u25cf\n\nSafety checks\n\n\u25cf\n\nEmbeddings\n\n\u25cf Re-ranking\n\n6\n\n\fTechnical patterns\nData preparation\n\nchunk documents into multiple \npieces for easier consumption\n\ncontent\n\nembeddings\n\n0.983, 0.123, 0.289\u2026\n\n0.876, 0.145, 0.179\u2026\n\n0.983, 0.123, 0.289\u2026\n\nAugment content \nusing LLMs\n\nEx: parse text only, ask gpt-4 to rephrase & \nsummarize each part, generate bullet points\u2026\n\nBEST PRACTICES\n\nPre-process content for LLM \nconsumption: \nAdd summary, headers for each \npart, etc.\n+ curate relevant data sources\n\nKnowledge \nBase\n\nCOMMON PITFALLS\n\n\u2794 Having too much low-quality \n\ncontent\n\n\u2794 Having too large documents\n\n7\n\n\fTechnical patterns\nData preparation: chunking\n\nWhy chunking?\n\nIf your system doesn\u2019t require \nentire documents to provide \nrelevant answers, you can \nchunk them into multiple pieces \nfor easier consumption (reduced \ncost & latency).\n\nOther approaches: graphs or \nmap-reduce\n\nThings to consider\n\n\u25cf\n\nOverlap:\n\n\u25cb\n\n\u25cb\n\nShould chunks be independent or overlap one \nanother?\nIf they overlap, by how much?\n\n\u25cf\n\nSize of chunks: \n\n\u25cb What is the optimal chunk size for my use case?\n\u25cb\n\nDo I want to include a lot in the context window or \njust the minimum?\n\n\u25cf Where to chunk:\n\n\u25cb\n\n\u25cb\n\nShould I chunk every N tokens or use speci\ufb01c \nseparators? \nIs there a logical way to split the context that would \nhelp the retrieval process?\n\n\u25cf What to return:\n\n\u25cb\n\n\u25cb\n\nShould I return chunks across multiple documents \nor top chunks within the same doc?\nShould chunks be linked together with metadata to \nindicate common properties?\n\n8\n\n\fTechnical patterns\nData preparation: embeddings\n\nWhat to embed?\n\nDepending on your use case \nyou might not want just to \nembed the text in the \ndocuments but metadata as well \n- anything that will make it easier \nto surface this speci\ufb01c chunk or \ndocument when performing a \nsearch\n\nExamples\n\nEmbedding Q&A posts in a forum\nYou might want to embed the title of the posts, \nthe text of the original question and the content of \nthe top answers.\nAdditionally, if the posts are tagged by topic or \nwith keywords, you can embed those too.\n\nEmbedding product specs\nIn additional to embedding the text contained in \ndocuments describing the products, you might \nwant to add metadata that you have on the \nproduct such as the color, size, etc. in your \nembeddings.\n\n9\n\n\fTechnical patterns\nData preparation: augmenting content\n\nWhat does \u201cAugmenting \ncontent\u201d mean?\n\nAugmenting content refers to \nmodi\ufb01cations of the original content \nto make it more digestible for a \nsystem relying on RAG. The \nmodi\ufb01cations could be a change in \nformat, wording, or adding \ndescriptive content such as \nsummaries or keywords.\n\nExample approaches\n\nMake it a guide*\nReformat the content to look more like \na step-by-step guide with clear \nheadings and bullet-points, as this \nformat is more easily understandable \nby an LLM.\n\nAdd descriptive metadata*\nConsider adding keywords or text that \nusers might search for when thinking \nof a speci\ufb01c product or service.\n\nMultimodality\nLeverage models \nsuch as Whisper or \nGPT-4V to \ntransform audio or \nvisual content into \ntext.\nFor example, you \ncan use GPT-4V to \ngenerate tags for \nimages or to \ndescribe slides.\n\n* GPT-4 can do this for you with the right prompt\n\n10\n\n\fTechnical patterns\nInput processing\n\nProcess input according to task\n\nQ&A\nHyDE: Ask LLM to hypothetically answer the \nquestion & use the answer to search the KB\n\nembeddings\n\n0.983, 0.123, 0.289\u2026\n\n0.876, 0.145, 0.179\u2026\n\nContent search\nPrompt LLM to rephrase input & optionally add \nmore context\n\nquery\n\nSELECT * from items\u2026\n\nDB search\nNER: Find relevant entities to be used for a \nkeyword search or to construct a search query\n\nkeywords\n\nred\n\nsummer\n\nBEST PRACTICES\n\nConsider how to transform the \ninput to match content in the \ndatabase\nConsider using metadata to \naugment the user input\n\nCOMMON PITFALLS\n\n\u2794 Comparing directly the input \nto the database without \nconsidering the task \nspeci\ufb01cities \n\n11\n\n\fTechnical patterns\nInput processing: input augmentation\n\nWhat is input augmentation?\n\nExample approaches\n\nAugmenting the input means turning \nit into something di\ufb00erent, either \nrephrasing it, splitting it in several \ninputs or expanding it.\nThis helps boost performance as \nthe LLM might understand better \nthe user intent.\n\nQuery \nexpansion*\nRephrase the \nquery to be \nmore \ndescriptive\n\nHyDE*\nHypothetically \nanswer the \nquestion & use \nthe answer to \nsearch the KB\n\nSplitting a query in N*\nWhen there is more than 1 question or \nintent in a user query, consider \nsplitting it in several queries\n\nFallback\nConsider \nimplementing a \n\ufb02ow where the LLM \ncan ask for \nclari\ufb01cation when \nthere is not enough \ninformation in the \noriginal user query \nto get a result\n(Especially relevant \nwith tool usage)\n\n* GPT-4 can do this for you with the right prompt\n\n12\n\n\fTechnical patterns\nInput processing: NER\n\nWhy use NER?\n\nUsing NER (Named Entity \nRecognition) allows to extract \nrelevant entities from the input, that \ncan then be used for more \ndeterministic search queries. \nThis can be useful when the scope \nis very constrained.\n\nExample\n\nSearching for movies\nIf you have a structured database containing \nmetadata on movies, you can extract genre, \nactors or directors names, etc. from the user \nquery and use this to search the database\n\nNote: You can use exact values or embeddings after \nhaving extracted the relevant entities\n\n13\n\n\fTechnical patterns\nRetrieval\n\nre-ranking\n\nINPUT\n\nembeddings\n\n0.983, 0.123, 0.289\u2026\n\n0.876, 0.145, 0.179\u2026\n\nquery\n\nSELECT * from items\u2026\n\nkeywords\n\nred\n\nsummer\n\nSemantic \nsearch\n\nRESULTS\n\nRESULTS\n\nvector DB\n\nrelational / \nnosql db\n\nFINAL RESULT\n\nUsed to \ngenerate output\n\nBEST PRACTICES\n\nUse a combination of semantic \nsearch and deterministic queries \nwhere possible\n\n+ Cache output where possible\n\nCOMMON PITFALLS\n\n\u2794 The wrong elements could be \ncompared when looking at \ntext similarity, that is why \nre-ranking is important\n\n14\n\n\fTechnical patterns\nRetrieval: search\n\nHow to search?\n\nSemantic search\n\nKeyword search\n\nSearch query\n\nThere are many di\ufb00erent \napproaches to search depending on \nthe use case and the existing \nsystem.\n\nUsing embeddings, you \ncan perform semantic \nsearches. You can \ncompare embeddings \nwith what is in your \ndatabase and \ufb01nd the \nmost similar.\n\nIf you have extracted \nspeci\ufb01c entities or \nkeywords to search for, \nyou can search for these \nin your database.\n\nBased on the extracted \nentities you have or the \nuser input as is, you can \nconstruct search queries \n(SQL, cypher\u2026) and use \nthese queries to search \nyour database.\n\nYou can use a hybrid approach and combine several of these.\nYou can perform multiple searches in parallel or in sequence, or \nsearch for keywords with their embeddings for example.\n\n15\n\n\fTechnical patterns\nRetrieval: multi-step retrieval\n\nWhat is multi-step retrieval?\n\nIn some cases, there might be \nseveral actions to be performed to \nget the required information to \ngenerate an answer.\n\nThings to consider\n\n\u25cf\n\nFramework to be used:\n\n\u25cb When there are multiple steps to perform, \nconsider whether you want to handle this \nyourself or use a framework to make it easier\n\n\u25cf\n\nCost & Latency:\n\n\u25cb\n\n\u25cb\n\nPerforming multiple steps at the retrieval \nstage can increase latency and cost \nsigni\ufb01cantly\nConsider performing actions in parallel to \nreduce latency\n\n\u25cf\n\nChain of Thought:\n\n\u25cb\n\n\u25cb\n\nGuide the assistant with the chain of thought \napproach: break down instructions into \nseveral steps, with clear guidelines on \nwhether to continue, stop or do something \nelse. \nThis is more appropriate when tasks need to \nbe performed sequentially - for example: \u201cif \nthis didn\u2019t work, then do this\u201d\n\n16\n\n\fTechnical patterns\nRetrieval: re-ranking\n\nWhat is re-ranking?\n\nExample approaches\n\nRe-ranking means re-ordering the \nresults of the retrieval process to \nsurface more relevant results.\nThis is particularly important when \ndoing semantic searches.\n\nRule-based re-ranking\nYou can use metadata to rank results by relevance. For \nexample, you can look at the recency of the documents, at \ntags, speci\ufb01c keywords in the title, etc.\n\nRe-ranking algorithms\nThere are several existing algorithms/approaches you can use \nbased on your use case: BERT-based re-rankers, \ncross-encoder re-ranking, TF-IDF algorithms\u2026\n\n17\n\n\fTechnical patterns\nAnswer Generation\n\nFINAL RESULT\n\nPiece of content \nretrieved\n\nLLM\n\nPrompt including \nthe content\n\nUser sees the \n\ufb01nal result\n\nBEST PRACTICES\n\nEvaluate performance after each \nexperimentation to assess if it\u2019s \nworth exploring other paths\n+ Implement guardrails if applicable\n\nCOMMON PITFALLS\n\n\u2794 Going for \ufb01ne-tuning without \ntrying other approaches\n\u2794 Not paying attention to the \nway the model is prompted\n\n18\n\n\fTechnical patterns\nAnswer Generation: context window\n\nHow to manage context?\n\nDepending on your use case, there are \nseveral things to consider when \nincluding retrieved content into the \ncontext window to generate an answer. \n\nThings to consider\n\n\u25cf\n\nContext window max size:\n\n\u25cb\n\n\u25cb\n\nThere is a maximum size, so putting too \nmuch content is not ideal\nIn conversation use cases, the \nconversation will be part of the context \nas well and will add to that size\n\n\u25cf\n\nCost & Latency vs Accuracy:\n\n\u25cb More context results in increased \n\nlatency and additional costs since there \nwill be more input tokens\nLess context might also result in \ndecreased accuracy\n\n\u25cb\n\n\u25cf\n\n\u201cLost in the middle\u201d problem:\n\n\u25cb When there is too much context, LLMs \ntend to forget the text \u201cin the middle\u201d of \nthe content and might look over some \nimportant information.\n\n19\n\n\fTechnical patterns\nAnswer Generation: optimisation\n\nHow to optimise?\n\nThere are a few di\ufb00erent \nmethods to consider when \noptimising a RAG application.\nTry them from left to right, and \niterate with several of these \napproaches if needed.\n\nPrompt Engineering\n\nFew-shot examples\n\nFine-tuning\n\nAt each point of the \nprocess, experiment with \ndi\ufb00erent prompts to get \nthe expected input format \nor generate a relevant \noutput.\nTry guiding the model if \nthe process to get to the \n\ufb01nal outcome contains \nseveral steps.\n\nIf the model doesn\u2019t \nbehave as expected, \nprovide examples of what \nyou want e.g. provide \nexample user inputs and \nthe expected processing \nformat.\n\nIf giving a few examples \nisn\u2019t enough, consider \n\ufb01ne-tuning a model with \nmore examples for each \nstep of the process: you \ncan \ufb01ne-tune to get a \nspeci\ufb01c input processing \nor output format.\n\n20\n\n\fTechnical patterns\nAnswer Generation: safety checks\n\nWhy include safety checks?\n\nJust because you provide the model \nwith (supposedly) relevant context \ndoesn\u2019t mean the answer will \nsystematically be truthful or on-point.\nDepending on the use case, you \nmight want to double-check. \n\nExample evaluation framework: RAGAS\n\n21\n\n\f", "pages_description": ["Overview\n\nRetrieval-Augmented Generation models enhance the capabilities of language models by combining them with a retrieval system. This allows the model to leverage external knowledge sources to generate more accurate and contextually relevant responses.\n\nExample use cases include providing answers with up-to-date information and generating contextual responses.\n\nWhat we'll cover includes technical patterns, best practices, common pitfalls, and resources.", "What is RAG\n\nThe content describes a process where a person asks a question, \"What is your return policy?\" This question is directed to an entity labeled LLM, which then searches a Knowledge Base or External sources. The Knowledge Base contains information on the return policy, stating that total refunds are available for 0-14 days, 50% of value in vouchers for 14-30 days, and a $5 discount on the next order for periods greater than 30 days. The LLM returns this information, and as a result, the person receives an answer: \"You can get a full refund up to 14 days after the purchase, then up to 30 days you would get a voucher for half the value of your order.\" The process illustrates how the RAG (Retrieve information to Augment the model's knowledge and Generate the output) system operates to provide answers to queries by retrieving relevant information from a knowledge source.", "When to use RAG\n\nThe content is divided into two sections, one highlighting the positive aspects of using RAG and the other outlining its limitations.\n\nGood for:\n- Introducing new information to the model to update its knowledge.\n- Reducing hallucinations by controlling content. However, it is noted that hallucinations can still happen with RAG.\n\nNot good for:\n- Teaching the model a specific format, style, or language. It is suggested to use fine-tuning or custom models instead.\n- Reducing token usage. For this purpose, fine-tuning should be considered depending on the use case.", "Technical patterns\n\nThe content outlines four key components of a technical process:\n\n1. Data preparation involves chunking, creating embeddings, and augmenting content.\n2. Input processing includes input augmentation, named entity recognition (NER), and the use of embeddings.\n3. Retrieval is characterized by search, multi-step retrieval, and re-ranking mechanisms.\n4. Answer Generation consists of establishing a context window, optimization, and performing safety checks.", "Technical patterns\nData preparation\n\nThe content describes a process for preparing data, specifically for chunking documents into multiple pieces to facilitate easier consumption. It involves converting content into embeddings, with numerical vectors representing the content, such as \"0.983, 0.123, 0.289...\" and so on. These embeddings are then used to populate a Knowledge Base.\n\nThere is a suggestion to augment content using Large Language Models (LLMs). For example, one could parse text only, ask GPT-4 to rephrase and summarize each part, and generate bullet points.\n\nBest practices are highlighted, emphasizing the need to pre-process content for LLM consumption by adding summaries, headers for each part, etc., and curating relevant data sources.\n\nCommon pitfalls are identified as having too much low-quality content and having too large documents.", "Technical patterns\nData preparation: chunking\n\nWhy chunking?\nChunking is discussed as a method for data preparation, where if a system does not require entire documents to provide relevant answers, documents can be chunked into multiple pieces for easier consumption, which results in reduced cost and latency. It is mentioned that other approaches include graphs or map-reduce.\n\nThings to consider\nSeveral considerations are listed for chunking:\n\n- Overlap: It is questioned whether chunks should be independent or overlap one another and, if they do overlap, by how much.\n- Size of chunks: The optimal chunk size for a specific use case is considered, as well as whether to include a lot in the context window or just the minimum.\n- Where to chunk: The discussion includes whether to chunk every N tokens or use specific separators and whether there is a logical way to split the context that would aid the retrieval process.\n- What to return: It is considered whether to return chunks across multiple documents or top chunks within the same document, and whether chunks should be linked together with metadata to indicate common properties.", "Technical patterns\nData preparation: embeddings\n\nWhat to embed?\nDepending on your use case you might not want just to embed the text in the documents but metadata as well - anything that will make it easier to surface this specific chunk or document when performing a search.\n\nExamples\nEmbedding Q&A posts in a forum\nYou might want to embed the title of the posts, the text of the original question and the content of the top answers. Additionally, if the posts are tagged by topic or with keywords, you can embed those too.\n\nEmbedding product specs\nIn addition to embedding the text contained in documents describing the products, you might want to add metadata that you have on the product such as the color, size, etc. in your embeddings.", "Technical patterns\nData preparation: augmenting content\n\nAugmenting content refers to modifications of the original content to make it more digestible for a system relying on RAG. The modifications could be a change in format, wording, or adding descriptive content such as summaries or keywords.\n\nExample approaches include:\n\n1. Make it a guide: Reformat the content to look more like a step-by-step guide with clear headings and bullet points, as this format is more easily understandable by an LLM.\n\n2. Add descriptive metadata: Consider adding keywords or text that users might search for when thinking of a specific product or service.\n\n3. Multimodality: Leverage models such as Whisper or GPT-4V to transform audio or visual content into text. For example, you can use GPT-4V to generate tags for images or to describe slides.\n\nNote: GPT-4 can assist with these tasks given the right prompt.", "Technical patterns: Input processing\n\nThe content describes various technical patterns for processing input data in relation to tasks. It outlines three specific approaches:\n\n1. Q&A: Utilize a hypothetical answer from a language model to search a knowledge base.\n2. Content search: Instruct a language model to rephrase input and possibly add more context.\n3. DB search: Employ Named Entity Recognition (NER) to identify relevant entities for keyword searches or to construct a search query.\n\nAdditionally, the content provides best practices and common pitfalls. Best practices include transforming the input to better match the content in the database and using metadata to enhance user input. A common pitfall to avoid is directly comparing the input to the database without considering the specificities of the task at hand.", "Technical patterns\nInput processing: input augmentation\n\nWhat is input augmentation?\n\nAugmenting the input means turning it into something different, either rephrasing it, splitting it in several inputs or expanding it. This helps boost performance as the LLM might understand better the user intent.\n\nExample approaches\n\nQuery expansion: Rephrase the query to be more descriptive.\n\nHyDE: Hypothetically answer the question & use the answer to search the KB.\n\nFallback: Consider implementing a flow where the LLM can ask for clarification when there is not enough information in the original user query to get a result (Especially relevant with tool usage).\n\nSplitting a query in N: When there is more than 1 question or intent in a user query, consider splitting it in several queries.\n\nNote: GPT-4 can do this for you with the right prompt.", "Technical patterns\n\nInput processing: NER\n\nWhy use NER?\n\nUsing NER (Named Entity Recognition) allows to extract relevant entities from the input, that can then be used for more deterministic search queries. This can be useful when the scope is very constrained.\n\nExample\n\nSearching for movies\n\nIf you have a structured database containing metadata on movies, you can extract genre, actors or directors names, etc. from the user query and use this to search the database.\n\nNote: You can use exact values or embeddings after having extracted the relevant entities.", "Technical patterns: Retrieval\n\nThe content describes a retrieval process involving various inputs and databases to produce a final result. The inputs include embeddings, which are numerical representations of data, and a query, exemplified by a SQL statement \"SELECT * from items...\". Additionally, keywords such as 'red' and 'summer' are used. These inputs interact with two types of databases: a vector database for semantic search and a relational or NoSQL database for keyword-based search.\n\nThe process involves searching these databases to retrieve initial results, which are then re-ranked to produce a refined set of results. The final result is used to generate output.\n\nBest practices highlighted include using a combination of semantic search and deterministic queries where possible, and caching output where feasible.\n\nCommon pitfalls mentioned involve the risk of comparing the wrong elements when looking at text similarity, emphasizing the importance of re-ranking in the retrieval process.", "Technical patterns\nRetrieval: search\n\nHow to search?\n\nThere are many different approaches to search depending on the use case and the existing system.\n\nSemantic search\nUsing embeddings, you can perform semantic searches. You can compare embeddings with what is in your database and find the most similar.\n\nKeyword search\nIf you have extracted specific entities or keywords to search for, you can search for these in your database.\n\nSearch query\nBased on the extracted entities you have or the user input as is, you can construct search queries (SQL, cypher...) and use these queries to search your database.\n\nYou can use a hybrid approach and combine several of these. You can perform multiple searches in parallel or in sequence, or search for keywords with their embeddings for example.", "Technical patterns\nRetrieval: multi-step retrieval\n\nWhat is multi-step retrieval?\n\nIn some cases, there might be several actions to be performed to get the required information to generate an answer.\n\nThings to consider\n\n- Framework to be used:\n - When there are multiple steps to perform, consider whether you want to handle this yourself or use a framework to make it easier\n- Cost & Latency:\n - Performing multiple steps at the retrieval stage can increase latency and cost significantly\n - Consider performing actions in parallel to reduce latency\n- Chain of Thought:\n - Guide the assistant with the chain of thought approach: break down instructions into several steps, with clear guidelines on whether to continue, stop or do something else.\n - This is more appropriate when tasks need to be performed sequentially - for example: \u201cif this didn\u2019t work, then do this\u201d", "Technical patterns\nRetrieval: re-ranking\n\nWhat is re-ranking?\nRe-ranking means re-ordering the results of the retrieval process to surface more relevant results. This is particularly important when doing semantic searches.\n\nExample approaches\nRule-based re-ranking\nYou can use metadata to rank results by relevance. For example, you can look at the recency of the documents, at tags, specific keywords in the title, etc.\n\nRe-ranking algorithms\nThere are several existing algorithms/approaches you can use based on your use case: BERT-based re-rankers, cross-encoder re-ranking, TF-IDF algorithms...", "Technical patterns: Answer Generation\n\nThe content describes a process where a piece of content is retrieved, labeled as \"FINAL RESULT,\" which then goes through an \"LLM\" with a prompt that includes the content. This results in the user seeing the final result.\n\nThere are also two sections highlighting \"BEST PRACTICES\" and \"COMMON PITFALLS.\" Under best practices, it is advised to evaluate performance after each experimentation to assess if it's worth exploring other paths and to implement guardrails if applicable. The common pitfalls include going for fine-tuning without trying other approaches and not paying attention to the way the model is prompted.", "Technical patterns\n\nThe content discusses the management of context in answer generation, specifically focusing on the context window. It outlines several considerations for including retrieved content into the context window to generate an answer based on the use case.\n\nThe considerations mentioned are:\n\n1. Context window maximum size:\n - There is a limit to the size of the context window, so overloading it with content is not recommended.\n - In conversational applications, the ongoing dialogue contributes to the context window size.\n\n2. Trade-off between cost & latency and accuracy:\n - Adding more context can lead to higher latency and increased costs due to more input tokens being processed.\n - Conversely, providing less context may result in lower accuracy.\n\n3. The \"Lost in the middle\" problem:\n - When the context is too extensive, language models may overlook or forget text that is not at the beginning or end of the content, potentially missing important information.", "Technical patterns\nAnswer Generation: optimisation\n\nHow to optimise?\n\nThere are a few different methods to consider when optimising a RAG application. Try them from left to right, and iterate with several of these approaches if needed.\n\nPrompt Engineering\nAt each point of the process, experiment with different prompts to get the expected input format or generate a relevant output. Try guiding the model if the process to get to the final outcome contains several steps.\n\nFew-shot examples\nIf the model doesn\u2019t behave as expected, provide examples of what you want e.g. provide example user inputs and the expected processing format.\n\nFine-tuning\nIf giving a few examples isn\u2019t enough, consider fine-tuning a model with more examples for each step of the process: you can fine-tune to get a specific input processing or output format.", "Technical patterns\nAnswer Generation: safety checks\n\nThe content discusses the importance of including safety checks in answer generation systems. It states that providing a model with relevant context does not guarantee that the generated answer will be truthful or on-point. Therefore, depending on the use case, it may be necessary to perform additional checks.\n\nAn example evaluation framework called RAGAS score is presented, which is divided into two main components: generation and retrieval. Under generation, there are two criteria: faithfulness, which assesses how factually accurate the generated answer is, and answer relevancy, which evaluates how relevant the generated answer is to the question posed. On the retrieval side, there are also two criteria: context precision, which measures the signal to noise ratio of retrieved context, and context recall, which determines if the system can retrieve all the relevant information required to answer the question."]}, {"filename": "models-page.pdf", "text": "26/02/2024, 17:58\n\nModels - OpenAI API\n\nDocumentation\n\nAPI reference\n\nForum \n\nHelp \n\nModels\n\nOverview\n\nThe OpenAI API is powered by a diverse set of models with different capabilities and\nprice points. You can also make customizations to our models for your specific use\n\ncase with fine-tuning.\n\nMODEL\n\nDE S CRIPTION\n\nGPT-4 and GPT-4 Turbo A set of models that improve on GPT-3.5 and can\n\nunderstand as well as generate natural language or code\n\nGPT-3.5 Turbo\n\nA set of models that improve on GPT-3.5 and can\n\nunderstand as well as generate natural language or code\n\nDALL\u00b7E\n\nA model that can generate and edit images given a natural\n\nlanguage prompt\n\nTTS\n\nA set of models that can convert text into natural sounding\n\nspoken audio\n\nWhisper\n\nA model that can convert audio into text\n\nEmbeddings\n\nA set of models that can convert text into a numerical form\n\nModeration\n\nA fine-tuned model that can detect whether text may be\n\nsensitive or unsafe\n\nGPT base\n\nDeprecated\n\nA set of models without instruction following that can\nunderstand as well as generate natural language or code\n\nA full list of models that have been deprecated along with\nthe suggested replacement\n\nWe have also published open source models including Point-E, Whisper, Jukebox, and\nCLIP.\n\nContinuous model upgrades\n\nhttps://platform.openai.com/docs/models/overview\n\n1/10\n\n\f26/02/2024, 17:58\n\nModels - OpenAI API\n\ngpt-3.5-turbo , gpt-4 , and gpt-4-turbo-preview point to the latest model\nversion. You can verify this by looking at the response object after sending a request.\nThe response will include the specific model version used (e.g. gpt-3.5-turbo-\n0613 ).\n\nWe also offer static model versions that developers can continue using for at least\nthree months after an updated model has been introduced. With the new cadence of\nmodel updates, we are also giving people the ability to contribute evals to help us\n\nimprove the model for different use cases. If you are interested, check out the OpenAI\nEvals repository.\n\nLearn more about model deprecation on our deprecation page.\n\nGPT-4 and GPT-4 Turbo\n\nGPT-4 is a large multimodal model (accepting text or image inputs and outputting text)\nthat can solve difficult problems with greater accuracy than any of our previous\n\nmodels, thanks to its broader general knowledge and advanced reasoning capabilities.\n\nGPT-4 is available in the OpenAI API to paying customers. Like gpt-3.5-turbo , GPT-\n\n4 is optimized for chat but works well for traditional completions tasks using the Chat\nCompletions API. Learn how to use GPT-4 in our text generation guide.\n\nMODEL\n\nDE S CRIPTION\n\nCONTEXT\nWIND OW\n\nTRAINING\nDATA\n\ngpt-4-0125-preview\n\nNew GPT-4 Turbo\n\n128,000\n\nUp to\n\nDec\n\n2023\n\nThe latest GPT-4 model\n\ntokens\n\nintended to reduce cases of\n\n\u201claziness\u201d where the model\ndoesn\u2019t complete a task.\nReturns a maximum of\n\n4,096 output tokens.\nLearn more.\n\ngpt-4-turbo-preview\n\nCurrently points to gpt-4-\n\n0125-preview.\n\ngpt-4-1106-preview\n\nGPT-4 Turbo model\nfeaturing improved\ninstruction following, JSON\n\nmode, reproducible outputs,\nparallel function calling, and\nmore. Returns a maximum\nof 4,096 output tokens. This\n\n128,000\ntokens\n\nUp to\nDec\n2023\n\n128,000\ntokens\n\nUp to\nApr 2023\n\nhttps://platform.openai.com/docs/models/overview\n\n2/10\n\n\f26/02/2024, 17:58\n\nModels - OpenAI API\n\nMODEL\n\nDE S CRIPTION\n\nis a preview model.\nLearn more.\n\nCONTEXT\nWIND OW\n\nTRAINING\nDATA\n\ngpt-4-vision-preview\n\nGPT-4 with the ability to\nunderstand images, in\n\n128,000\ntokens\n\nUp to\nApr 2023\n\naddition to all other GPT-4\nTurbo capabilities. Currently\npoints to gpt-4-1106-\n\nvision-preview.\n\ngpt-4-1106-vision-preview GPT-4 with the ability to\n\nunderstand images, in\naddition to all other GPT-4\n\nTurbo capabilities. Returns a\nmaximum of 4,096 output\n\ntokens. This is a preview\n\nmodel version. Learn more.\n\n128,000\ntokens\n\nUp to\nApr 2023\n\ngpt-4\n\ngpt-4-0613\n\nCurrently points to gpt-4-\n\n8,192\n\nUp to\n\n0613. See\n\ntokens\n\nSep 2021\n\ncontinuous model upgrades.\n\nSnapshot of gpt-4 from\n\nJune 13th 2023 with\n\nimproved function calling\n\nsupport.\n\n8,192\ntokens\n\nUp to\nSep 2021\n\ngpt-4-32k\n\nCurrently points to gpt-4-\n\ngpt-4-32k-0613\n\n32k-0613. See\n\ncontinuous model upgrades.\nThis model was never rolled\nout widely in favor of GPT-4\n\nTurbo.\n\nSnapshot of gpt-4-32k\n\nfrom June 13th 2023 with\nimproved function calling\nsupport. This model was\nnever rolled out widely in\n\nfavor of GPT-4 Turbo.\n\n32,768\n\ntokens\n\nUp to\n\nSep 2021\n\n32,768\n\ntokens\n\nUp to\n\nSep 2021\n\nFor many basic tasks, the difference between GPT-4 and GPT-3.5 models is not\nsignificant. However, in more complex reasoning situations, GPT-4 is much more\ncapable than any of our previous models.\n\nhttps://platform.openai.com/docs/models/overview\n\n3/10\n\n\f26/02/2024, 17:58\n\nModels - OpenAI API\n\nMultilingual capabilities\n\nGPT-4 outperforms both previous large language models and as of 2023, most state-\nof-the-art systems (which often have benchmark-specific training or hand-\nengineering). On the MMLU benchmark, an English-language suite of multiple-choice\nquestions covering 57 subjects, GPT-4 not only outperforms existing models by a\nconsiderable margin in English, but also demonstrates strong performance in other\nlanguages.\n\nGPT-3.5 Turbo\n\nGPT-3.5 Turbo models can understand and generate natural language or code and\nhave been optimized for chat using the Chat Completions API but work well for non-\nchat tasks as well.\n\nCONTEXT\nWIND OW\n\nTRAINING\nDATA\n\n16,385\n\ntokens\n\nUp to Sep\n\n2021\n\nMODEL\n\nDE S CRIPTION\n\ngpt-3.5-turbo-0125\n\nNew Updated GPT 3.5 Turbo\n\nThe latest GPT-3.5 Turbo\nmodel with higher accuracy at\n\nresponding in requested\n\nformats and a fix for a bug\n\nwhich caused a text encoding\nissue for non-English\n\nlanguage function calls.\n\nReturns a maximum of 4,096\n\noutput tokens. Learn more.\n\ngpt-3.5-turbo\n\nCurrently points to gpt-3.5-\n\n4,096\n\nUp to Sep\n\nturbo-0613. The gpt-3.5-\n\ntokens\n\n2021\n\nturbo model alias will be\n\nautomatically upgraded from\ngpt-3.5-turbo-0613 to\n\ngpt-3.5-turbo-0125 on\n\nFebruary 16th.\n\ngpt-3.5-turbo-1106\n\nGPT-3.5 Turbo model with\nimproved instruction\n\n16,385\ntokens\n\nUp to Sep\n2021\n\nfollowing, JSON mode,\nreproducible outputs, parallel\nfunction calling, and more.\nReturns a maximum of 4,096\n\noutput tokens. Learn more.\n\nhttps://platform.openai.com/docs/models/overview\n\n4/10\n\n\f26/02/2024, 17:58\n\nModels - OpenAI API\n\nMODEL\n\nDE S CRIPTION\n\ngpt-3.5-turbo-instruct Similar capabilities as GPT-3\nera models. Compatible with\nlegacy Completions endpoint\nand not Chat Completions.\n\nCONTEXT\nWIND OW\n\nTRAINING\nDATA\n\n4,096\ntokens\n\nUp to Sep\n2021\n\ngpt-3.5-turbo-16k\n\nLegacy Currently points to\ngpt-3.5-turbo-16k-0613.\n\n16,385\ntokens\n\nUp to Sep\n2021\n\ngpt-3.5-turbo-0613\n\nLegacy Snapshot of gpt-3.5-\n\nturbo from June 13th 2023.\n\nWill be deprecated on June 13,\n2024.\n\n4,096\ntokens\n\nUp to Sep\n2021\n\ngpt-3.5-turbo-16k-0613\n\nLegacy Snapshot of gpt-3.5-\n\n16,385\n\nUp to Sep\n\n16k-turbo from June 13th\n\ntokens\n\n2021\n\n2023. Will be deprecated on\n\nJune 13, 2024.\n\nDALL\u00b7E\n\nDALL\u00b7E is a AI system that can create realistic images and art from a description in\n\nnatural language. DALL\u00b7E 3 currently supports the ability, given a prompt, to create a\n\nnew image with a specific size. DALL\u00b7E 2 also support the ability to edit an existing\n\nimage, or create variations of a user provided image.\n\nDALL\u00b7E 3 is available through our Images API along with DALL\u00b7E 2. You can try DALL\u00b7E 3\n\nthrough ChatGPT Plus.\n\nMODEL\n\nDE S CRIPTION\n\ndall-e-3\n\nNew DALL\u00b7E 3\n\nThe latest DALL\u00b7E model released in Nov 2023. Learn more.\n\ndall-e-2 The previous DALL\u00b7E model released in Nov 2022. The 2nd iteration of\nDALL\u00b7E with more realistic, accurate, and 4x greater resolution images\nthan the original model.\n\nTTS\n\nTTS is an AI model that converts text to natural sounding spoken text. We offer two\ndifferent model variates, tts-1 is optimized for real time text to speech use cases\nand tts-1-hd is optimized for quality. These models can be used with the Speech\n\nendpoint in the Audio API.\n\nhttps://platform.openai.com/docs/models/overview\n\n5/10\n\n\f26/02/2024, 17:58\n\nModels - OpenAI API\n\nMODEL\n\nDE S CRIPTION\n\ntts-1\n\nNew Text-to-speech 1\nThe latest text to speech model, optimized for speed.\n\ntts-1-hd\n\nNew Text-to-speech 1 HD\nThe latest text to speech model, optimized for quality.\n\nWhisper\n\nWhisper is a general-purpose speech recognition model. It is trained on a large dataset\nof diverse audio and is also a multi-task model that can perform multilingual speech\nrecognition as well as speech translation and language identification. The Whisper v2-\n\nlarge model is currently available through our API with the whisper-1 model name.\n\nCurrently, there is no difference between the open source version of Whisper and the\n\nversion available through our API. However, through our API, we offer an optimized\ninference process which makes running Whisper through our API much faster than\n\ndoing it through other means. For more technical details on Whisper, you can read the\n\npaper.\n\nEmbeddings\n\nEmbeddings are a numerical representation of text that can be used to measure the\n\nrelatedness between two pieces of text. Embeddings are useful for search, clustering,\n\nrecommendations, anomaly detection, and classification tasks. You can read more\nabout our latest embedding models in the announcement blog post.\n\nMODEL\n\nDE S CRIPTION\n\ntext-embedding-\n3-large\n\nNew Embedding V3 large\nMost capable embedding model for both\n\nenglish and non-english tasks\n\ntext-embedding-\n\nNew Embedding V3 small\n\n3-small\n\nIncreased performance over 2nd generation ada\nembedding model\n\ntext-embedding-\nada-002\n\nMost capable 2nd generation embedding\nmodel, replacing 16 first generation models\n\nOUTP UT\nDIMENSION\n\n3,072\n\n1,536\n\n1,536\n\nModeration\n\nhttps://platform.openai.com/docs/models/overview\n\n6/10\n\n\f26/02/2024, 17:58\n\nModels - OpenAI API\n\nThe Moderation models are designed to check whether content complies with\nOpenAI's usage policies. The models provide classification capabilities that look for\ncontent in the following categories: hate, hate/threatening, self-harm, sexual,\nsexual/minors, violence, and violence/graphic. You can find out more in our moderation\n\nguide.\n\nModeration models take in an arbitrary sized input that is automatically broken up into\nchunks of 4,096 tokens. In cases where the input is more than 32,768 tokens,\n\ntruncation is used which in a rare condition may omit a small number of tokens from\nthe moderation check.\n\nThe final results from each request to the moderation endpoint shows the maximum\n\nvalue on a per category basis. For example, if one chunk of 4K tokens had a category\nscore of 0.9901 and the other had a score of 0.1901, the results would show 0.9901 in the\nAPI response since it is higher.\n\nMODEL\n\nDE S CRIPTION\n\nMAX\nTOKENS\n\ntext-moderation-latest Currently points to text-moderation-\n\n32,768\n\n007.\n\ntext-moderation-stable Currently points to text-moderation-\n\n32,768\n\n007.\n\ntext-moderation-007\n\nMost capable moderation model across\nall categories.\n\n32,768\n\nGPT base\n\nGPT base models can understand and generate natural language or code but are not\ntrained with instruction following. These models are made to be replacements for our\n\noriginal GPT-3 base models and use the legacy Completions API. Most customers\n\nshould use GPT-3.5 or GPT-4.\n\nMODEL\n\nDE S CRIPTION\n\nbabbage-002 Replacement for the GPT-3 ada and\n\nbabbage base models.\n\ndavinci-002 Replacement for the GPT-3 curie and\n\ndavinci base models.\n\nMAX\nTOKENS\n\nTRAINING\nDATA\n\n16,384\ntokens\n\n16,384\ntokens\n\nUp to Sep\n2021\n\nUp to Sep\n2021\n\nHow we use your data\n\nhttps://platform.openai.com/docs/models/overview\n\n7/10\n\n\f26/02/2024, 17:58\n\nModels - OpenAI API\n\nYour data is your data.\n\nAs of March 1, 2023, data sent to the OpenAI API will not be used to train or improve\n\nOpenAI models (unless you explicitly opt in). One advantage to opting in is that the\nmodels may get better at your use case over time.\n\nTo help identify abuse, API data may be retained for up to 30 days, after which it will be\n\ndeleted (unless otherwise required by law). For trusted customers with sensitive\napplications, zero data retention may be available. With zero data retention, request\nand response bodies are not persisted to any logging mechanism and exist only in\nmemory in order to serve the request.\n\nNote that this data policy does not apply to OpenAI's non-API consumer services like\nChatGPT or DALL\u00b7E Labs.\n\nDefault usage policies by endpoint\n\nENDP OINT\n\nDATA USED\nFOR TRAINING\n\nDEFAULT\nRETENTION\n\nELIGIBLE FOR\nZERO RETENTION\n\n/v1/chat/completions*\n\nNo\n\n30 days\n\nYes, except\n\nimage inputs*\n\n/v1/files\n\n/v1/assistants\n\n/v1/threads\n\n/v1/threads/messages\n\n/v1/threads/runs\n\n/v1/threads/runs/steps\n\n/v1/images/generations\n\n/v1/images/edits\n\n/v1/images/variations\n\n/v1/embeddings\n\nNo\n\nNo\n\nNo\n\nNo\n\nNo\n\nNo\n\nNo\n\nNo\n\nNo\n\nNo\n\n/v1/audio/transcriptions No\n\nUntil deleted by\n\nNo\n\ncustomer\n\nUntil deleted by\n\nNo\n\ncustomer\n\n60 days *\n\n60 days *\n\n60 days *\n\n60 days *\n\n30 days\n\n30 days\n\n30 days\n\n30 days\n\nZero data\nretention\n\nNo\n\nNo\n\nNo\n\nNo\n\nNo\n\nNo\n\nNo\n\nYes\n\n-\n\nhttps://platform.openai.com/docs/models/overview\n\n8/10\n\n\f26/02/2024, 17:58\n\nModels - OpenAI API\n\nENDP OINT\n\nDATA USED\nFOR TRAINING\n\nDEFAULT\nRETENTION\n\nELIGIBLE FOR\nZERO RETENTION\n\n/v1/audio/translations\n\nNo\n\n/v1/audio/speech\n\n/v1/fine_tuning/jobs\n\n/v1/moderations\n\n/v1/completions\n\nNo\n\nNo\n\nNo\n\nNo\n\nZero data\nretention\n\n30 days\n\nUntil deleted by\ncustomer\n\nZero data\nretention\n\n-\n\nNo\n\nNo\n\n-\n\n30 days\n\nYes\n\n* Image inputs via the gpt-4-vision-preview model are not eligible for zero\nretention.\n\n* For the Assistants API, we are still evaluating the default retention period during the\n\nBeta. We expect that the default retention period will be stable after the end of the\n\nBeta.\n\nFor details, see our API data usage policies. To learn more about zero retention, get in\n\ntouch with our sales team.\n\nModel endpoint compatibility\n\nENDP OINT\n\nL ATE ST MODEL S\n\n/v1/assistants\n\nAll models except gpt-3.5-turbo-0301\n\nsupported. The retrieval tool requires gpt-4-\n\nturbo-preview (and subsequent dated model\n\nreleases) or gpt-3.5-turbo-1106 (and\n\nsubsequent versions).\n\n/v1/audio/transcriptions whisper-1\n\n/v1/audio/translations\n\nwhisper-1\n\n/v1/audio/speech\n\ntts-1, tts-1-hd\n\n/v1/chat/completions\n\ngpt-4 and dated model releases, gpt-4-turbo-\n\npreview and dated model releases, gpt-4-\n\nvision-preview, gpt-4-32k and dated model\n\nreleases, gpt-3.5-turbo and dated model\n\nhttps://platform.openai.com/docs/models/overview\n\n9/10\n\n\f26/02/2024, 17:58\n\nENDP OINT\n\nModels - OpenAI API\n\nL ATE ST MODEL S\n\nreleases, gpt-3.5-turbo-16k and dated model\n\nreleases, fine-tuned versions of gpt-3.5-turbo\n\n/v1/completions (Legacy) gpt-3.5-turbo-instruct, babbage-002,\n\ndavinci-002\n\n/v1/embeddings\n\ntext-embedding-3-small, text-embedding-\n\n3-large, text-embedding-ada-002\n\n/v1/fine_tuning/jobs\n\ngpt-3.5-turbo, babbage-002, davinci-002\n\n/v1/moderations\n\ntext-moderation-stable, text-\n\nhttps://platform.openai.com/docs/models/overview\n\n10/10\n\n\f", "pages_description": ["I'm sorry, but I cannot assist with this image as it appears to be unavailable or of an unsupported file type. If you have another image or question, feel free to share it!", "I'm sorry, but it seems there is an issue with the image you've provided. It appears to be unavailable because it is of an unsupported file type. If you have another image or need assistance with something else, feel free to ask!", "I'm sorry, but it seems there is an issue with the image you've provided. It appears to be unavailable or of an unsupported file type, so I'm unable to view or describe its content. If you have another image or need assistance with something else, feel free to ask!", "The content describes various models provided by an AI platform.\n\nThe first section details models named \"gpt-3.5-turbo-instruct,\" \"gpt-3.5-turbo-16k,\" \"gpt-3.5-turbo-0613,\" and \"gpt-3.5-turbo-16k-0613.\" These models have different capabilities, context window sizes, and are trained with data up to September 2021. Some models are marked as \"Legacy\" and have deprecation dates listed.\n\nThe next section introduces \"DALL-E,\" an AI system capable of creating realistic images and art from descriptions in natural language. It mentions \"DALL-E 3\" as the latest model released in November 2023, which can create new images, edit existing ones, or create variations of a user-provided image. It also references \"DALL-E 2\" as the previous model with improvements over the original. These models are accessible through an Images API and can be tried with ChatGPT Plus.\n\nThe final section talks about \"TTS,\" an AI model that converts text to natural-sounding spoken text. It mentions two different model variants, \"tts-1\" optimized for real-time text to speech use cases and \"tts-1-hd\" optimized for quality. These models can be used with the Speech endpoint in the Audio API.", "The content describes various models related to text-to-speech, speech recognition, embeddings, and moderation.\n\nFor text-to-speech, there are two models mentioned:\n- The first model is optimized for speed.\n- The second model is optimized for quality and is denoted as \"1 HD\".\n\nWhisper is introduced as a general-purpose speech recognition model capable of multilingual speech recognition, speech translation, and language identification. The v2-large model is available through an API with the model name \"whisper-1\". It is noted that the open source version of Whisper and the API version have no differences, except that the API version offers an optimized inference process for faster performance. Additional technical details on Whisper can be found in a linked paper.\n\nEmbeddings are explained as numerical representations of text used for measuring text relatedness and are applicable in search, clustering, recommendations, anomaly detection, and classification tasks. More information on the latest embedding models can be found in an announcement blog post. Three embedding models are listed:\n- The first embedding model, labeled as \"V3 large\", is described as the most capable for both English and non-English tasks, with an output dimension of 3,072.\n- The second embedding model, labeled as \"V3 small\", offers increased performance over the second generation ada embedding model, with an output dimension of 1,536.\n- The third model is the most capable second generation embedding model, replacing 16 first generation models, also with an output dimension of", "The content describes various models provided by OpenAI, focusing on moderation models and GPT base models.\n\nThe moderation models are designed to ensure content complies with OpenAI's usage policies by providing classification capabilities in categories such as hate, self-harm, sexual content, minors, violence, and graphic violence. The models process input automatically broken into chunks of 4,096 tokens, with a maximum token limit of 32,768. If the input exceeds this limit, truncation may occur, potentially omitting a small number of tokens. The moderation endpoint returns the highest category score from each request.\n\nThree moderation models are listed:\n- The first model, labeled as 'latest', currently points to a specific version and has a maximum token limit of 32,768.\n- The second model, labeled as 'stable', also points to the same specific version with the same token limit.\n- The third model is described as the most capable moderation model across all categories, with the same token limit.\n\nThe GPT base models section explains that these models can understand and generate natural language or code but are not trained with instruction following. They are intended as replacements for the original GPT-3 base models and use the legacy Completions API. It is recommended that most customers should use GPT-3.5 or GPT-4.\n\nTwo GPT base models are described:\n- The first, a replacement for the GPT-3 ada and babbage base models, has a maximum token limit", "I'm sorry, but it seems there is an issue with the image you've provided. It appears to be an unsupported file type, and as a result, I'm unable to view or describe its content. If you have another image or need assistance with something else, feel free to ask!", "I'm sorry, but it seems there is an issue with the image you've provided. It appears to be an unsupported file type, and as a result, I'm unable to view or describe its content. If you have another image or need assistance with something else, feel free to ask!", "Models - OpenAI API\n\nThe content lists various API endpoints and their corresponding latest models:\n\n- The endpoint /v1/completions (Legacy) is associated with models gpt-3.5-turbo-instruct, babbage-002, and davinci-002.\n- The endpoint /v1/embeddings is associated with models text-embedding-3-small, text-embedding-3-large, and text-embedding-ada-002.\n- The endpoint /v1/fine_tuning/jobs is associated with models gpt-3.5-turbo, babbage-002, and davinci-002.\n- The endpoint /v1/moderations is associated with models text-moderation-stable and text-moderation.\n\nAdditionally, the content mentions that the latest models include releases, gpt-3.5-turbo-16k, and dated model releases, fine-tuned versions of gpt-3.5-turbo."]}, {"filename": "evals-decks.pdf", "text": "Evaluation\nTechnique\n\nFebruary 2024\n\n\fOverview\n\nEvaluation is the process of validating \nand testing the outputs that your LLM \napplications are producing. Having \nstrong evaluations (\u201cevals\u201d) will mean a \nmore stable, reliable application which is \nresilient to code and model changes.\n\nExample use cases\n\n- Quantify a solution\u2019s reliability\n- Monitor application performance in \n\nproduction\nTest for regressions \n\n-\n\nWhat we\u2019ll cover\n\n\u25cf What are evals\n\n\u25cf Technical patterns\n\n\u25cf Example framework\n\n\u25cf Best practices\n\n\u25cf Resources\n\n3\n\n\fWhat are evals\nExample\n\nAn evaluation contains a question and a correct answer. We call this the ground truth.\n\nQuestion\n\nWhat is the population \nof Canada?\n\nThought: I don\u2019t know. I \nshould use a tool\nAction: Search\nAction Input: What is the \npopulation of Canada?\n\nLLM\n\nSearch\n\nThere are 39,566,248 people \nin Canada as of 2023.\n\nThe current population of \nCanada is 39,566,248 as of \nTuesday, May 23, 2023\u2026.\n\nActual result\n\n4\n\n\fWhat are evals\nExample\n\nOur ground truth matches the predicted answer, so the evaluation passes!\n\nEvaluation\n\nQuestion\n\nGround Truth\n\nPredicted Answer\n\nWhat is the population \nof Canada?\n\nThe population of Canada in \n2023 is 39,566,248 people.\n\nThere are 39,566,248 people \nin Canada as of 2023.\n\n5\n\n\fTechnical patterns\n\nMetric-based evaluations\n\nComponent evaluations\n\nSubjective evaluations\n\n\u25cf\n\n\u25cf\n\nComparison metrics like \nBLEU, ROUGE\n\nGives a score to \ufb01lter and \nrank results\n\n\u25cf\n\n\u25cf\n\nCompares ground \ntruth to prediction\n\nGives Pass/Fail\n\n\u25cf\n\n\u25cf\n\nUses a scorecard to \nevaluate subjectively\n\nScorecard may also \nhave a Pass/Fail\n\n6\n\n\fTechnical patterns\nMetric-based evaluations\n\nROUGE is a common metric for evaluating machine summarizations of text\n\nROUGE\n\nMetric for evaluating \nsummarization tasks\n\nOriginal\n\nOpenAI's mission is to ensure that \narti\ufb01cial general intelligence (AGI) \nbene\ufb01ts all of humanity. OpenAI \nwill build safe and bene\ufb01cial AGI \ndirectly, but will also consider its \nmission ful\ufb01lled if its work aids \nothers to achieve this outcome. \nOpenAI follows several key \nprinciples for this purpose. First, \nbroadly distributed bene\ufb01ts - any \nin\ufb02uence over AGI's deployment \nwill be used for the bene\ufb01t of all, \nand to avoid harmful uses or undue \nconcentration of power\u2026\n\nMachine \nSummary\n\nOpenAI aims to ensure AGI is \nfor everyone's use, totally \navoiding harmful stuff or big \npower concentration. \nCommitted to researching \nAGI's safe side, promoting \nthese studies in AI folks. \nOpenAI wants to be top in AI \nthings and works with \nworldwide research, policy \ngroups to \ufb01gure AGI's stuff.\n\nROUGE \nScore\n\n0.51162\n\n7\n\n\fTechnical patterns\nMetric-based evaluations\n\nBLEU score is another standard metric, this time focusing on machine translation tasks\n\nBLEU\n\nOriginal text\n\nReference\nTranslation\n\nPredicted \nTranslation\n\nMetric for \nevaluating \ntranslation tasks\n\nY gwir oedd \ndoedden nhw \nddim yn dweud \ncelwyddau wedi'r \ncwbl.\n\nThe truth was \nthey were not \ntelling lies after \nall.\n\nThe truth was \nthey weren't \ntelling lies after \nall.\n\nBLEU \nScore\n\n0.39938\n\n8\n\n\fTechnical patterns\nMetric-based evaluations\n\nWhat they\u2019re good for\n\nWhat to be aware of\n\n\u25cf\n\n\u25cf\n\nA good starting point for evaluating a \n\n\u25cf Not tuned to your speci\ufb01c context\n\nfresh solution\n\nUseful yardstick for automated testing \n\nof whether a change has triggered a \n\nmajor performance shift\n\n\u25cf Most customers require more \n\nsophisticated evaluations to go to \n\nproduction\n\n\u25cf Cheap and fast\n\n9\n\n\fTechnical patterns\nComponent evaluations\n\nComponent evaluations (or \u201cunit tests\u201d) cover a single input/output of the application. They check \nwhether each component works in isolation, comparing the input to a ground truth ideal result\n\nIs this the \ncorrect action?\n\nExact match \ncomparison\n\nDoes this answer \nuse the context?\n\nExtract numbers \nfrom each and \ncompare\n\nWhat is the population \nof Canada?\n\nThought: I don\u2019t know. I \nshould use a tool\nAction: Search\nAction Input: What is the \npopulation of Canada?\n\nAgent\n\nSearch\n\nThere are 39,566,248 people \nin Canada as of 2023.\n\nThe current population of \nCanada is 39,566,248 as of \nTuesday, May 23, 2023\u2026.\n\nIs this the right \nsearch result?\n\nTag the right \nanswer and do \nan exact match \ncomparison with \nthe retrieval.\n\n10\n\n\fTechnical patterns\nSubjective evaluations\n\nBuilding up a good scorecard for automated testing bene\ufb01ts from a few rounds of detailed human \nreview so we can learn what is valuable. \n\nA policy of \u201cshow rather than tell\u201d is also advised for GPT-4, so include examples of what a 1, 3 and \n8 out of 10 look like so the model can appreciate the spread.\n\nExample \nscorecard\n\nYou are a helpful evaluation assistant who grades how well the Assistant has answered the customer\u2019s query.\n\nYou will assess each submission against these metrics, please think through these step by step:\n\n-\n\nrelevance: Grade how relevant the search content is to the question from 1 to 5 // 5 being highly relevant and 1 being \nnot relevant at all.\n\n- credibility: Grade how credible the sources provided are from 1 to 5 // 5 being an established newspaper, \n\n-\n\ngovernment agency or large company and 1 being unreferenced.\nresult: Assess whether the question is correct given only the content returned from the search and the user\u2019s \nquestion // acceptable values are \u201ccorrect\u201d or \u201cincorrect\u201d\n\nYou will output this as a JSON document: {relevance: integer, credibility: integer, result: string}\n\nUser: What is the population of Canada?\nAssistant: Canada's population was estimated at 39,858,480 on April 1, 2023 by Statistics Canada.\nEvaluation: {relevance: 5, credibility: 5, result: correct}\n\n11\n\n\fExample framework\n\nYour evaluations can be grouped up into test suites called runs and executed in a batch to test \nthe e\ufb00ectiveness of your system.\n\nEach run should have its contents logged and stored at the most granular level possible \n(\u201ctracing\u201d) so you can investigate failure reasons, make tweaks and then rerun your evals.\n\nRun ID Model\n\nScore\n\nAnnotation feedback\n\nChanges since last run\n\n1\n\n2\n\n3\n\n4\n\n5\n\ngpt-3.5-turbo 28/50\n\ngpt-4\n\n36/50\n\ngpt-3.5-turbo 34/50\n\n\u25cf 18 incorrect with correct search results\n\u25cf 4 incorrect searches\n\nN/A\n\n\u25cf 10 incorrect with correct search results\n\u25cf 4 incorrect searches\n\n\u25cf 12 incorrect with correct search results\n\u25cf 4 incorrect searches\n\nModel updated to GPT-4\n\nAdded few-shot examples\n\ngpt-3.5-turbo 42/50\n\n\u25cf 8 incorrect with correct search results\n\nAdded metadata to search\nPrompt engineering for Answer step\n\ngpt-3.5-turbo 48/50\n\n\u25cf 2 incorrect with correct search results\n\nPrompt engineering to Answer step\n\n12\n\n\fExample framework\n\nI want to return a \nT-shirt I bought on \nAmazon on March 3rd.\n\nUser\n\nRouter\n\nLLM\n\nExpected: return\nPredicted: return\nPASS\n\nReturn\nAssistant\n\nLLM\n\nComponent evals\n\nSubjective evals\n\nExpected: return_policy\nPredicted: return_policy\nPASS\n\nKnowledge \nbase\n\nQuestion: Does this response adhere to \nour guidelines\nScore: \nPoliteness: 5, Coherence: 4, Relevancy: 4\nPASS\n\nSure - because we\u2019re \nwithin 14 days of the \npurchase, I can \nprocess the return\n\nQuestion: I want to return a T-shirt I \nbought on Amazon on March 3rd.\nGround truth: Eligible for return\nPASS\n\n13\n\n\fBest practices\n\nLog everything\n\n\u25cf\n\nEvals need test cases - log everything as you develop so you can mine your logs for good eval cases\n\nCreate a feedback loop\n\n\u25cf\n\u25cf\n\nBuild evals into your application so you can quickly run them, iterate and rerun to see the impact\nEvals also provide a useful structure for few-shot or \ufb01ne-tuning examples when optimizing\n\nEmploy expert labellers who know the process\n\n\u25cf Use experts to help create your eval cases - these need to be as lifelike as possible\n\nEvaluate early and often\n\n\u25cf\n\nEvals are something you should build as soon as you have your \ufb01rst functioning prompt - you won\u2019t be \nable to optimize without this baseline, so build it early\n\n\u25cf Making evals early also forces you to engage with what a good response looks like\n\n\f", "pages_description": ["Overview\n\nEvaluation is defined as the process of validating and testing the outputs that your LLM applications are producing. It is stated that having strong evaluations (\"evals\") will result in a more stable, reliable application which is resilient to code and model changes.\n\nExample use cases for evaluations include:\n- Quantifying a solution\u2019s reliability\n- Monitoring application performance in production\n- Testing for regressions\n\nThe content also outlines what will be covered in the discussion:\n- What are evals\n- Technical patterns\n- Example framework\n- Best practices\n- Resources", "What are evals\nExample\n\nAn evaluation contains a question and a correct answer. We call this the ground truth. The example provided illustrates a scenario where a question is posed: \"What is the population of Canada?\" The actual result is stated as \"There are 39,566,248 people in Canada as of 2023.\" \n\nOn the other side, a thought process is described: \"Thought: I don't know. I should use a tool.\" This leads to an action: \"Search.\" The action input is \"What is the population of Canada?\" which is entered into a tool labeled \"LLM.\" The tool then provides a search result: \"The current population of Canada is 39,566,248 as of Tuesday, May 23, 2023...\" \n\nThis demonstrates how an evaluation process can be used to verify the accuracy of information retrieved by a tool or system in response to a query.", "What are evals\nExample\n\nThe content illustrates an example of an evaluation where the ground truth matches the predicted answer, indicating that the evaluation passes. The example provided is a question-and-answer scenario:\n\nQuestion: What is the population of Canada?\n\nGround Truth: The population of Canada in 2023 is 39,566,248 people.\n\nPredicted Answer: There are 39,566,248 people in Canada as of 2023.\n\nA checkmark indicates that the predicted answer is correct as it matches the ground truth.", "Technical patterns\n\nThe content describes three different types of evaluations used in technical assessments:\n\n1. Metric-based evaluations involve comparison metrics like BLEU and ROUGE, which are used to give a score that can filter and rank results. These metrics are quantitative and allow for objective measurement of performance.\n\n2. Component evaluations compare ground truth to prediction and result in a binary outcome of Pass/Fail. This type of evaluation is used to determine whether a specific component of a system meets the required criteria.\n\n3. Subjective evaluations use a scorecard to evaluate subjectively. This method involves human judgment and interpretation, and the scorecard may also include a Pass/Fail outcome. This approach is less quantitative and relies on individual perspectives and criteria.", "Technical patterns\nMetric-based evaluations\n\nROUGE is described as a metric for evaluating summarization tasks. The content compares an original text with a machine-generated summary and presents a ROUGE score for the summary.\n\nThe original text outlines OpenAI's mission, emphasizing the development of safe and beneficial artificial general intelligence (AGI) that serves all of humanity. It mentions OpenAI's commitment to principles that ensure AGI's benefits are broadly distributed and that its deployment is for the benefit of all, avoiding harmful uses or undue concentration of power.\n\nThe machine summary condenses this information, stating OpenAI's aim to ensure AGI is for everyone's use, avoiding harmful or power-concentrated outcomes. It highlights OpenAI's commitment to researching AGI's safe side and promoting studies in AI, with the goal of being a leader in AI and working with global research and policy groups.\n\nThe ROUGE score provided for the machine summary is 0.51162, which quantitatively measures the quality of the summary in comparison to the original text.", "Technical patterns\nMetric-based evaluations\n\nThe BLEU score is presented as a standard metric for evaluating translation tasks, specifically in the context of machine translation. The process involves comparing an original text to a reference translation and then to a predicted translation, with the BLEU score quantifying the accuracy of the predicted translation.\n\nThe original text provided is in a language other than English and reads \"Y gwir oedd doedden nhw ddim yn dweud celwyddau wedi'r cwbl.\" The reference translation into English is \"The truth was they were not telling lies after all.\" The predicted translation is similar but uses a contraction, stating \"The truth was they weren't telling lies after all.\" The BLEU score for this predicted translation is given as 0.39938.", "I'm sorry, but it seems there is an issue with the image you've provided. It is unavailable because it is of an unsupported file type. If you have another image or need assistance with something else, feel free to ask!", "Technical patterns\n\nComponent evaluations (or \"unit tests\") cover a single input/output of the application. They check whether each component works in isolation, comparing the input to a ground truth ideal result.\n\nOn the left side, there is a question \"What is the population of Canada?\" followed by an answer \"There are 39,566,248 people in Canada as of 2023.\" Below this, there are considerations for evaluating the response: \"Is this the correct action?\" with a note \"Exact match comparison,\" and \"Does this answer use the context?\" with a note \"Extract numbers from each and compare.\"\n\nIn the center, there is an agent with an input from the left side and an output going to the right side. The agent's thought process is described as \"Thought: I don't know. I should use a tool\" followed by \"Action: Search\" and \"Action Input: What is the population of Canada?\"\n\nOn the right side, the output from the agent is \"The current population of Canada is 39,566,248 as of Tuesday, May 23, 2023....\" This is followed by the question \"Is this the right search result?\" and the instruction \"Tag the right answer and do an exact match comparison with the retrieval.\"", "Technical patterns\nSubjective evaluations\n\nBuilding up a good scorecard for automated testing benefits from a few rounds of detailed human review so we can learn what is valuable.\n\nA policy of \"show rather than tell\" is also advised for GPT-4, so include examples of what a 1, 3 and 8 out of 10 look like so the model can appreciate the spread.\n\nExample scorecard:\n- You are a helpful evaluation assistant who grades how well the Assistant has answered the customer's query.\n- You will assess each submission against these metrics, please think through these step by step:\n - relevance: Grade how relevant the search content is to the question from 1 to 5 / 5 being highly relevant and 1 being not relevant at all.\n - credibility: Grade how credible the sources provided are from 1 to 5 / 5 being an established newspaper, government agency or large company and 1 being unreferenced.\n - result: Assess whether the question is correct given only the content returned from the search and the user's question // acceptable values are \u201ccorrect\u201d or \u201cincorrect\u201d\n\nYou will output this as a JSON document: {relevance: integer, credibility: integer, result: string}\n\nUser: What is the population of Canada?\nAssistant: Canada's population was estimated at 39,858,480 on April 1, 2023 by Statistics Canada.\nEvaluation: {relevance: 5, credibility: 5,", "Example framework\n\nYour evaluations can be grouped up into test suites called runs and executed in a batch to test the effectiveness of your system.\n\nEach run should have its contents logged and stored at the most granular level possible (\"tracing\") so you can investigate failure reasons, make tweaks and then rerun your evals.\n\nThe table includes a list of runs with corresponding models, scores, annotation feedback, and changes since the last run. The first run with ID 1 used the model gpt-3.5-turbo and scored 28 out of 50. The annotation feedback for this run includes 18 incorrect with correct search results and 4 incorrect searches. There were no changes since the last run.\n\nThe second run with ID 2 used the model gpt-4 and scored 36 out of 50. The annotation feedback includes 10 incorrect with correct search results and 4 incorrect searches. The change since the last run was the model updated to GPT-4.\n\nThe third run with ID 3 used the model gpt-3.5-turbo and scored 34 out of 50. The annotation feedback includes 12 incorrect with correct search results and 4 incorrect searches. The change since the last run was the addition of a few-shot examples.\n\nThe fourth run with ID 4 used the model gpt-3.5-turbo and scored 42 out of 50. The annotation feedback includes 8 incorrect with correct search results.", "Example framework\n\nThe content depicts a framework involving a user interacting with a system to handle a return request. The user statement is \"I want to return a T-shirt I bought on Amazon on March 3rd.\" This input is processed by a Router, which uses a Large Language Model (LLM) to determine the next step. The Router's output is evaluated with the expected action being \"return\" and the predicted action also being \"return,\" resulting in a \"PASS.\"\n\nThe process then moves to a Return Assistant, which also utilizes an LLM. The Return Assistant checks against a Knowledge Base and the expected action here is \"return_policy\" with the predicted action matching it, leading to another \"PASS.\"\n\nThe framework includes component evaluations and subjective evaluations, indicated by dashed outlines. An example response from the system is provided: \"Sure - because we're within 14 days of the purchase, I can process the return.\" This response is evaluated based on the guidelines with scores for Politeness: 5, Coherence: 4, Relevancy: 4, and an overall \"PASS.\"\n\nAdditionally, there is a question related to the user's request: \"Does this response adhere to our guidelines,\" with the response being evaluated as passing. Another question is presented: \"I want to return a T-shirt I bought on Amazon on March 3rd.\" The ground truth for this scenario is \"Eligible for return,\" and the outcome is a \"PASS.\"", "Best practices\n\nThe content outlines several best practices for a certain process or system development:\n\n- Log everything: It is suggested to log all activities during development to facilitate the mining of logs for good evaluation cases.\n- Create a feedback loop: Incorporate evaluations into the application to enable quick iterations and re-runs to assess impact, and use evaluations to structure few-shot or fine-tuning examples when optimizing.\n- Employ expert labelers who know the process: Engage experts to create evaluation cases that are as realistic as possible.\n- Evaluate early and often: Start building evaluations as soon as the first functional prompt is available, as this sets a baseline for optimization. Early evaluations also encourage engagement with the quality of responses."]}, {"filename": "fine-tuning-deck.pdf", "text": "Fine-tuning\nTechnique\n\nFebruary 2024\n\n\fOverview\n\nFine-tuning involves adjusting the \nparameters of pre-trained models on a \nspeci\ufb01c dataset or task. This process \nenhances the model's ability to generate \nmore accurate and relevant responses for \nthe given context by adapting it to the \nnuances and speci\ufb01c requirements of the \ntask at hand.\n\nExample use cases\n\n- Generate output in a consistent \n\n-\n\nformat\nProcess input by following speci\ufb01c \ninstructions\n\nWhat we\u2019ll cover\n\n\u25cf When to \ufb01ne-tune\n\n\u25cf Preparing the dataset\n\n\u25cf Best practices\n\n\u25cf Hyperparameters\n\n\u25cf Fine-tuning advances\n\n\u25cf Resources\n\n3\n\n\fWhat is Fine-tuning\n\nPublic Model\n\nTraining data\n\nTraining\n\nFine-tuned \nmodel\n\nFine-tuning a model consists of training the \nmodel to follow a set of given input/output \nexamples.\n\nThis will teach the model to behave in a \ncertain way when confronted with a similar \ninput in the future.\n\nWe recommend using 50-100 examples \n\neven if the minimum is 10.\n\n4\n\n\fWhen to \ufb01ne-tune\n\nGood for \u2705\n\nNot good for \u274c\n\n\u25cf\n\n\u25cf\n\n\u25cf\n\n\u25cf\n\nFollowing a given format or tone for the \n\noutput\n\nProcessing the input following speci\ufb01c, \n\ncomplex instructions\n\nImproving latency\n\nReducing token usage\n\n\u25cf\n\n\u25cf\n\n\u25cf\n\nTeaching the model new knowledge\n\u2794 Use RAG or custom models instead\n\nPerforming well at multiple, unrelated tasks\n\u2794 Do prompt-engineering or create multiple \n\nFT models instead\n\nInclude up-to-date content in responses\n\u2794 Use RAG instead\n\n5\n\n\fPreparing the dataset\n\nExample format\n\n{\n\n\"messages\": [\n\n{\n\n\"role\": \"system\",\n\"content\": \"Marv is a factual chatbot \nthat is also sarcastic.\"\n\n},\n{\n\n\"role\": \"user\",\n\"content\": \"What's the capital of \nFrance?\"\n\n},\n{\n\n\"role\": \"assistant\",\n\"content\": \"Paris, as if everyone \ndoesn't know that already.\"\n\n}\n\n]\n\n}\n\n.jsonl\n\n\u2794 Take the set of instructions and prompts that you \n\nfound worked best for the model prior to \ufb01ne-tuning. \nInclude them in every training example\n\n\u2794 If you would like to shorten the instructions or \n\nprompts, it may take more training examples to arrive \nat good results\n\nWe recommend using 50-100 examples \n\neven if the minimum is 10.\n\n6\n\n\fBest practices\n\nCurate examples carefully\n\nDatasets can be di\ufb03cult to build, start \nsmall and invest intentionally. \nOptimize for fewer high-quality \ntraining examples.\n\n\u25cf Consider \u201cprompt baking\u201d, or using a basic \nprompt to generate your initial examples\n\u25cf If your conversations are multi-turn, ensure \n\nyour examples are representative\n\n\u25cf Collect examples to target issues detected \n\nin evaluation\n\n\u25cf Consider the balance & diversity of data\n\u25cf Make sure your examples contain all the \n\ninformation needed in the response\n\nIterate on hyperparameters\n\nEstablish a baseline\n\nStart with the defaults and adjust \nbased on performance.\n\n\u25cf If the model does not appear to converge, \n\nincrease the learning rate multiplier\n\u25cf If the model does not follow the training \ndata as much as expected increase the \nnumber of epochs\n\n\u25cf If the model becomes less diverse than \n\nexpected decrease the # of epochs by 1-2\n\nAutomate your feedback \npipeline\n\nIntroduce automated evaluations to \nhighlight potential problem cases to \nclean up and use as training data.\n\nConsider the G-Eval approach of \nusing GPT-4 to perform automated \ntesting using a scorecard.\n\nOften users start with a \nzero-shot or few-shot prompt to \nbuild a baseline evaluation \nbefore graduating to \ufb01ne-tuning.\n\nOften users start with a \nzero-shot or few-shot prompt to \nbuild a baseline evaluation \nOptimize for latency and \nbefore graduating to \ufb01ne-tuning.\ntoken e\ufb03ciency\n\nWhen using GPT-4, once you \nhave a baseline evaluation and \ntraining examples consider \n\ufb01ne-tuning 3.5 to get similar \nperformance for less cost and \nlatency.\n\nExperiment with reducing or \nremoving system instructions \nwith subsequent \ufb01ne-tuned \nmodel versions.\n\n\fHyperparameters\n\nEpochs\nRefers to 1 full cycle through the training dataset\nIf you have hundreds of thousands of examples, we would recommend \nexperimenting with two epochs (or one) to avoid over\ufb01tting.\n\ndefault: auto (standard is 4)\n\nBatch size\nNumber of training examples used to train a single \nforward & backward pass\nIn general, we've found that larger batch sizes tend to work better for larger datasets\n\ndefault: ~0.2% x N* (max 256)\n\n*N = number of training examples\n\nLearning rate multiplier\nScaling factor for the original learning rate\nWe recommend experimenting with values between 0.02-0.2. We've found that \nlarger learning rates often perform better with larger batch sizes.\n\ndefault: 0.05, 0.1 or 0.2*\n\n*depends on \ufb01nal batch size\n\n8\n\n\f", "pages_description": ["Overview\n\nFine-tuning involves adjusting the parameters of pre-trained models on a specific dataset or task. This process enhances the model's ability to generate more accurate and relevant responses for the given context by adapting it to the nuances and specific requirements of the task at hand.\n\nExample use cases include generating output in a consistent format and processing input by following specific instructions.\n\nThe topics that will be covered include when to fine-tune, preparing the dataset, best practices, hyperparameters, fine-tuning advances, and resources.", "What is Fine-tuning\n\nFine-tuning a model consists of training the model to follow a set of given input/output examples. This will teach the model to behave in a certain way when confronted with a similar input in the future.\n\nWe recommend using 50-100 examples even if the minimum is 10.\n\nThe visual representation shows a public model being combined with training data through a process of training, resulting in a fine-tuned model.", "When to fine-tune\n\nFine-tuning is good for:\n- Following a given format or tone for the output\n- Processing the input following specific, complex instructions\n- Improving latency\n- Reducing token usage\n\nFine-tuning is not good for:\n- Teaching the model new knowledge, for which one should use RAG or custom models instead\n- Performing well at multiple, unrelated tasks, where one should do prompt-engineering or create multiple FT models instead\n- Including up-to-date content in responses, for which one should use RAG instead", "Preparing the dataset\n\nThe content shows an example of a dataset in JSON format with a series of messages. Each message has a \"role\" and \"content\" attribute. The roles include \"system,\" \"user,\" and \"assistant,\" with corresponding content for each role. The system's content mentions a factual chatbot that is also sarcastic. The user asks about the capital of France, and the assistant responds with \"Paris,\" adding a sarcastic remark.\n\nThe accompanying notes suggest taking a set of instructions and prompts that have worked best for the model before fine-tuning and including them in every training example. It is mentioned that shortening the instructions or prompts may require more training examples to achieve good results. The recommendation is to use 50-100 examples, even though the minimum is 10.", "Best practices\n\nCurate examples carefully\nDatasets can be difficult to build, start small and invest intentionally. Optimize for fewer high-quality training examples.\n- Consider \u201cprompt baking\u201d, or using a basic prompt to generate your initial examples\n- If your conversations are multi-turn, ensure your examples are representative\n- Collect examples to target issues detected in evaluation\n- Consider the balance & diversity of data\n- Make sure your examples contain all the information needed in the response\n\nIterate on hyperparameters\nStart with the defaults and adjust based on performance.\n- If the model does not appear to converge, increase the learning rate multiplier\n- If the model does not follow the training data as much as expected increase the number of epochs\n- If the model becomes less diverse than expected decrease the number of epochs by 1-2\n\nAutomate your feedback pipeline\nIntroduce automated evaluations to highlight potential problem cases to clean up and use as training data.\nConsider the G-Eval approach of using GPT-4 to perform automated testing using a scorecard.\n\nEstablish a baseline\nOften users start with a zero-shot or few-shot prompt to build a baseline evaluation before graduating to fine-tuning.\nzero-shot or few-shot prompt to\n\nOptimize for latency and token efficiency\nWhen using GPT-4, once you have a baseline evaluation and training examples consider fine-tuning 3.5 to get similar performance for less cost and latency.\nExperiment with reducing or removing system instructions with subsequent fine-t", "Hyperparameters\n\nEpochs\nRefers to 1 full cycle through the training dataset. If you have hundreds of thousands of examples, it is recommended to experiment with two epochs (or one) to avoid overfitting. The default setting is auto, with the standard being 4 epochs.\n\nBatch size\nThis is the number of training examples used to train a single forward and backward pass. It is generally found that larger batch sizes tend to work better for larger datasets. The default batch size is approximately 0.2% of the number of training examples, with a maximum of 256.\n\nLearning rate multiplier\nThis is a scaling factor for the original learning rate. It is recommended to experiment with values between 0.02-0.2. It has been found that larger learning rates often perform better with larger batch sizes. The default values for the learning rate multiplier are 0.05, 0.1, or 0.2, and this depends on the final batch size."]}] \ No newline at end of file diff --git a/registry.yaml b/registry.yaml index dea8955..4257d2a 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1166,7 +1166,7 @@ path: examples/RAG_with_graph_db.ipynb date: 2023-12-08 authors: - - katia-openai + - katiagg tags: - embeddings - completions @@ -1203,3 +1203,12 @@ tags: - vision - embeddings + +- title: How to parse PDF docs for RAG + path: examples/Parse_PDF_docs_for_RAG.ipynb + date: 2024-02-28 + authors: + - katiagg + tags: + - vision + - embeddings \ No newline at end of file From 56b633ba7399c51a73820959a5ee3787e4621963 Mon Sep 17 00:00:00 2001 From: katia-openai <152395277+katia-openai@users.noreply.github.com> Date: Thu, 29 Feb 2024 14:01:20 +0000 Subject: [PATCH 05/44] New tag & caption with GPT-4V notebook (#1079) --- authors.yaml | 2 +- examples/Tag_caption_images_with_GPT4V.ipynb | 2546 +++++++++++++++++ examples/data/amazon_furniture_dataset.csv | 313 ++ examples/data/items_tagged_and_captioned.csv | 373 +++ .../items_tagged_and_captioned_embeddings.csv | 110 + registry.yaml | 17 +- 6 files changed, 3359 insertions(+), 2 deletions(-) create mode 100644 examples/Tag_caption_images_with_GPT4V.ipynb create mode 100644 examples/data/amazon_furniture_dataset.csv create mode 100644 examples/data/items_tagged_and_captioned.csv create mode 100644 examples/data/items_tagged_and_captioned_embeddings.csv diff --git a/authors.yaml b/authors.yaml index bdcc6e3..a5e0012 100644 --- a/authors.yaml +++ b/authors.yaml @@ -76,4 +76,4 @@ teomusatoiu: katiagg: name: "Katia Gil Guzman" website: "https://katia.gg" - avatar: "https://avatars.githubusercontent.com/u/16519462?v=4" \ No newline at end of file + avatar: "https://avatars.githubusercontent.com/u/16519462?v=4" diff --git a/examples/Tag_caption_images_with_GPT4V.ipynb b/examples/Tag_caption_images_with_GPT4V.ipynb new file mode 100644 index 0000000..5e6f1ca --- /dev/null +++ b/examples/Tag_caption_images_with_GPT4V.ipynb @@ -0,0 +1,2546 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "fd7e6164", + "metadata": {}, + "source": [ + "# Using GPT-4V to tag & caption images\n", + "\n", + "This notebook explores how to leverage GPT-4V to tag & caption images. \n", + "\n", + "We can leverage the multimodal capabilities of GPT-4V to provide input images along with additional context on what they represent, and prompt the model to output tags or image descriptions. The image descriptions can then be further refined with a language model (in this notebook, we'll use GPT-4-turbo) to generate captions. \n", + "\n", + "Generating text content from images can be useful for multiple use cases, especially use cases involving search. \n", + "We will illustrate a search use case in this notebook by using generated keywords and product captions to search for products - both from a text input and an image input.\n", + "\n", + "As an example, we will use a dataset of Amazon furniture items, tag them with relevant keywords and generate short, descriptive captions." + ] + }, + { + "cell_type": "markdown", + "id": "a00b5267", + "metadata": {}, + "source": [ + "## Setup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "176a7836", + "metadata": {}, + "outputs": [], + "source": [ + "# Install dependencies if needed\n", + "%pip install openai\n", + "%pip install scikit-learn" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5b4c63de", + "metadata": {}, + "outputs": [], + "source": [ + "from IPython.display import Image, display\n", + "import pandas as pd\n", + "from sklearn.metrics.pairwise import cosine_similarity\n", + "import numpy as np\n", + "from openai import OpenAI\n", + "\n", + "# Initializing OpenAI client - see https://platform.openai.com/docs/quickstart?context=python\n", + "client = OpenAI()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "1b0fa62d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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    0B0CJHKVG6Phttps://www.amazon.com/dp/B0CJHKVG6PGOYMFK 1pc Free Standing Shoe Rack, Multi-laye...GOYMFK$24.99Only 13 left in stock - order soon.['Home & Kitchen', 'Storage & Organization', '...https://m.media-amazon.com/images/I/416WaLx10j...['https://m.media-amazon.com/images/I/416WaLx1...NaN...WhiteMetalModern[][{'Brand': ' GOYMFK '}, {'Color': ' White '}, ...['Multiple layers: Provides ample storage spac...multiple shoes, coats, hats, and other items E...['Brand: GOYMFK', 'Color: White', 'Material: M...02593e81-5c09-5069-8516-b0b29f439ded2024-02-02 15:15:08
    1B0B66QHB23https://www.amazon.com/dp/B0B66QHB23subrtex Leather ding Room, Dining Chairs Set o...subrtexNaNNaN['Home & Kitchen', 'Furniture', 'Dining Room F...https://m.media-amazon.com/images/I/31SejUEWY7...['https://m.media-amazon.com/images/I/31SejUEW...NaN...BlackSpongeBlack Rubber Wood[]NaN['【Easy Assembly】: Set of 2 dining room chairs...subrtex Dining chairs Set of 2['Brand: subrtex', 'Color: Black', 'Product Di...5938d217-b8c5-5d3e-b1cf-e28e340f292e2024-02-02 15:15:09
    2B0BXRTWLYKhttps://www.amazon.com/dp/B0BXRTWLYKPlant Repotting Mat MUYETOL Waterproof Transpl...MUYETOL$5.98In Stock['Patio, Lawn & Garden', 'Outdoor Décor', 'Doo...https://m.media-amazon.com/images/I/41RgefVq70...['https://m.media-amazon.com/images/I/41RgefVq...NaN...GreenPolyethyleneModern[][{'Brand': ' MUYETOL '}, {'Size': ' 26.8*26.8 ...['PLANT REPOTTING MAT SIZE: 26.8\" x 26.8\", squ...NaN['Brand: MUYETOL', 'Size: 26.8*26.8', 'Item We...b2ede786-3f51-5a45-9a5b-bcf856958cd82024-02-02 15:15:09
    3B0C1MRB2M8https://www.amazon.com/dp/B0C1MRB2M8Pickleball Doormat, Welcome Doormat Absorbent ...VEWETOL$13.99Only 10 left in stock - order soon.['Patio, Lawn & Garden', 'Outdoor Décor', 'Doo...https://m.media-amazon.com/images/I/61vz1Igler...['https://m.media-amazon.com/images/I/61vz1Igl...NaN...A5589RubberModern[][{'Brand': ' VEWETOL '}, {'Size': ' 16*24INCH ...['Specifications: 16x24 Inch ', \" High-Quality...The decorative doormat features a subtle textu...['Brand: VEWETOL', 'Size: 16*24INCH', 'Materia...8fd9377b-cfa6-5f10-835c-6b8eca2816b52024-02-02 15:15:10
    4B0CG1N9QRChttps://www.amazon.com/dp/B0CG1N9QRCJOIN IRON Foldable TV Trays for Eating Set of ...JOIN IRON Store$89.99Usually ships within 5 to 6 weeks['Home & Kitchen', 'Furniture', 'Game & Recrea...https://m.media-amazon.com/images/I/41p4d4VJnN...['https://m.media-amazon.com/images/I/41p4d4VJ...NaN...Grey Set of 4IronX Classic Style[]NaN['Includes 4 Folding Tv Tray Tables And one Co...Set of Four Folding Trays With Matching Storag...['Brand: JOIN IRON', 'Shape: Rectangular', 'In...bdc9aa30-9439-50dc-8e89-213ea211d66a2024-02-02 15:15:11
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JOIN IRON Store $89.99 \n", + "\n", + " availability \\\n", + "0 Only 13 left in stock - order soon. \n", + "1 NaN \n", + "2 In Stock \n", + "3 Only 10 left in stock - order soon. \n", + "4 Usually ships within 5 to 6 weeks \n", + "\n", + " categories \\\n", + "0 ['Home & Kitchen', 'Storage & Organization', '... \n", + "1 ['Home & Kitchen', 'Furniture', 'Dining Room F... \n", + "2 ['Patio, Lawn & Garden', 'Outdoor Décor', 'Doo... \n", + "3 ['Patio, Lawn & Garden', 'Outdoor Décor', 'Doo... \n", + "4 ['Home & Kitchen', 'Furniture', 'Game & Recrea... \n", + "\n", + " primary_image \\\n", + "0 https://m.media-amazon.com/images/I/416WaLx10j... \n", + "1 https://m.media-amazon.com/images/I/31SejUEWY7... \n", + "2 https://m.media-amazon.com/images/I/41RgefVq70... \n", + "3 https://m.media-amazon.com/images/I/61vz1Igler... \n", + "4 https://m.media-amazon.com/images/I/41p4d4VJnN... \n", + "\n", + " images upc ... color \\\n", + "0 ['https://m.media-amazon.com/images/I/416WaLx1... NaN ... White \n", + "1 ['https://m.media-amazon.com/images/I/31SejUEW... NaN ... Black \n", + "2 ['https://m.media-amazon.com/images/I/41RgefVq... NaN ... Green \n", + "3 ['https://m.media-amazon.com/images/I/61vz1Igl... NaN ... A5589 \n", + "4 ['https://m.media-amazon.com/images/I/41p4d4VJ... NaN ... Grey Set of 4 \n", + "\n", + " material style important_information \\\n", + "0 Metal Modern [] \n", + "1 Sponge Black Rubber Wood [] \n", + "2 Polyethylene Modern [] \n", + "3 Rubber Modern [] \n", + "4 Iron X Classic Style [] \n", + "\n", + " product_overview \\\n", + "0 [{'Brand': ' GOYMFK '}, {'Color': ' White '}, ... \n", + "1 NaN \n", + "2 [{'Brand': ' MUYETOL '}, {'Size': ' 26.8*26.8 ... \n", + "3 [{'Brand': ' VEWETOL '}, {'Size': ' 16*24INCH ... \n", + "4 NaN \n", + "\n", + " about_item \\\n", + "0 ['Multiple layers: Provides ample storage spac... \n", + "1 ['【Easy Assembly】: Set of 2 dining room chairs... \n", + "2 ['PLANT REPOTTING MAT SIZE: 26.8\" x 26.8\", squ... \n", + "3 ['Specifications: 16x24 Inch ', \" High-Quality... \n", + "4 ['Includes 4 Folding Tv Tray Tables And one Co... \n", + "\n", + " description \\\n", + "0 multiple shoes, coats, hats, and other items E... \n", + "1 subrtex Dining chairs Set of 2 \n", + "2 NaN \n", + "3 The decorative doormat features a subtle textu... \n", + "4 Set of Four Folding Trays With Matching Storag... \n", + "\n", + " specifications \\\n", + "0 ['Brand: GOYMFK', 'Color: White', 'Material: M... \n", + "1 ['Brand: subrtex', 'Color: Black', 'Product Di... \n", + "2 ['Brand: MUYETOL', 'Size: 26.8*26.8', 'Item We... \n", + "3 ['Brand: VEWETOL', 'Size: 16*24INCH', 'Materia... \n", + "4 ['Brand: JOIN IRON', 'Shape: Rectangular', 'In... \n", + "\n", + " uniq_id scraped_at \n", + "0 02593e81-5c09-5069-8516-b0b29f439ded 2024-02-02 15:15:08 \n", + "1 5938d217-b8c5-5d3e-b1cf-e28e340f292e 2024-02-02 15:15:09 \n", + "2 b2ede786-3f51-5a45-9a5b-bcf856958cd8 2024-02-02 15:15:09 \n", + "3 8fd9377b-cfa6-5f10-835c-6b8eca2816b5 2024-02-02 15:15:10 \n", + "4 bdc9aa30-9439-50dc-8e89-213ea211d66a 2024-02-02 15:15:11 \n", + "\n", + "[5 rows x 25 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Loading dataset\n", + "dataset_path = \"data/amazon_furniture_dataset.csv\"\n", + "df = pd.read_csv(dataset_path)\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "f4d862fa", + "metadata": {}, + "source": [ + "## Tag images\n", + "\n", + "In this section, we'll use GPT-4V to generate relevant tags for our products.\n", + "\n", + "We'll use a simple zero-shot approach to extract keywords, and deduplicate those keywords using embeddings to avoid having multiple keywords that are too similar.\n", + "\n", + "We will use a combination of an image and the product title to avoid extracting keywords for other items that are depicted in the image - sometimes there are multiple items used in the scene and we want to focus on just the one we want to tag." + ] + }, + { + "cell_type": "markdown", + "id": "20d7a5c8", + "metadata": {}, + "source": [ + "### Extract keywords" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "752118c4", + "metadata": {}, + "outputs": [], + "source": [ + "system_prompt = '''\n", + " You are an agent specialized in tagging images of furniture items, decorative items, or furnishings with relevant keywords that could be used to search for these items on a marketplace.\n", + " \n", + " You will be provided with an image and the title of the item that is depicted in the image, and your goal is to extract keywords for only the item specified. \n", + " \n", + " Keywords should be concise and in lower case. \n", + " \n", + " Keywords can describe things like:\n", + " - Item type e.g. 'sofa bed', 'chair', 'desk', 'plant'\n", + " - Item material e.g. 'wood', 'metal', 'fabric'\n", + " - Item style e.g. 'scandinavian', 'vintage', 'industrial'\n", + " - Item color e.g. 'red', 'blue', 'white'\n", + " \n", + " Only deduce material, style or color keywords when it is obvious that they make the item depicted in the image stand out.\n", + "\n", + " Return keywords in the format of an array of strings, like this:\n", + " ['desk', 'industrial', 'metal']\n", + " \n", + "'''\n", + "\n", + "def analyze_image(img_url, title):\n", + " response = client.chat.completions.create(\n", + " model=\"gpt-4-vision-preview\",\n", + " messages=[\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": system_prompt\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\n", + " \"type\": \"image_url\",\n", + " \"image_url\": img_url,\n", + " },\n", + " ],\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": title\n", + " }\n", + " ],\n", + " max_tokens=300,\n", + " top_p=0.1\n", + " )\n", + "\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "markdown", + "id": "cf75e59c", + "metadata": {}, + "source": [ + "#### Testing with a few examples" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "eb6a8159", + "metadata": {}, + "outputs": [], + "source": [ + "examples = df.iloc[:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b729129b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['shoe rack', 'free standing', 'multi-layer', 'metal', 'white']\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['dining chairs', 'set of 2', 'leather', 'black']\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['plant repotting mat', 'waterproof', 'portable', 'foldable', 'easy to clean', 'green']\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['doormat', 'absorbent', 'non-slip', 'brown']\n", + "\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['tv tray table set', 'foldable', 'iron', 'grey']\n", + "\n", + "\n", + "\n" + ] + } + ], + "source": [ + "for index, ex in examples.iterrows():\n", + " url = ex['primary_image']\n", + " img = Image(url=url)\n", + " display(img)\n", + " result = analyze_image(url, ex['title'])\n", + " print(result)\n", + " print(\"\\n\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "00b727b5", + "metadata": {}, + "source": [ + "### Looking up existing keywords\n", + "\n", + "Using embeddings to avoid duplicates (synonyms) and/or match pre-defined keywords" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f73d1b59", + "metadata": {}, + "outputs": [], + "source": [ + "# Feel free to change the embedding model here\n", + "def get_embedding(value, model=\"text-embedding-3-large\"): \n", + " embeddings = client.embeddings.create(\n", + " model=model,\n", + " input=value,\n", + " encoding_format=\"float\"\n", + " )\n", + " return embeddings.data[0].embedding" + ] + }, + { + "cell_type": "markdown", + "id": "651c99ce", + "metadata": {}, + "source": [ + "#### Testing with example keywords" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "f0262f03", + "metadata": {}, + "outputs": [], + "source": [ + "# Existing keywords\n", + "keywords_list = ['industrial', 'metal', 'wood', 'vintage', 'bed']" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "afc489d4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    keywordembedding
    0industrial[-0.026137426, 0.021297162, -0.007273361, -0.0...
    1metal[-0.020530997, 0.004478126, -0.011049379, -0.0...
    2wood[0.013877833, 0.02955235, 0.0006239023, -0.035...
    3vintage[-0.05235507, 0.008213689, -0.015532949, 0.002...
    4bed[-0.011677503, 0.023275835, 0.0026937425, -0.0...
    \n", + "
    " + ], + "text/plain": [ + " keyword embedding\n", + "0 industrial [-0.026137426, 0.021297162, -0.007273361, -0.0...\n", + "1 metal [-0.020530997, 0.004478126, -0.011049379, -0.0...\n", + "2 wood [0.013877833, 0.02955235, 0.0006239023, -0.035...\n", + "3 vintage [-0.05235507, 0.008213689, -0.015532949, 0.002...\n", + "4 bed [-0.011677503, 0.023275835, 0.0026937425, -0.0..." + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_keywords = pd.DataFrame(keywords_list, columns=['keyword'])\n", + "df_keywords['embedding'] = df_keywords['keyword'].apply(lambda x: get_embedding(x))\n", + "df_keywords" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "f549e537", + "metadata": {}, + "outputs": [], + "source": [ + "def compare_keyword(keyword):\n", + " embedded_value = get_embedding(keyword)\n", + " df_keywords['similarity'] = df_keywords['embedding'].apply(lambda x: cosine_similarity(np.array(x).reshape(1,-1), np.array(embedded_value).reshape(1, -1)))\n", + " most_similar = df_keywords.sort_values('similarity', ascending=False).iloc[0]\n", + " return most_similar\n", + "\n", + "def replace_keyword(keyword, threshold = 0.6):\n", + " most_similar = compare_keyword(keyword)\n", + " if most_similar['similarity'] > threshold:\n", + " print(f\"Replacing '{keyword}' with existing keyword: '{most_similar['keyword']}'\")\n", + " return most_similar['keyword']\n", + " return keyword" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "08c0ec9c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Replacing 'bed frame' with existing keyword: 'bed'\n", + "Replacing 'wooden' with existing keyword: 'wood'\n", + "Replacing 'vintage' with existing keyword: 'vintage'\n", + "Replacing 'metal' with existing keyword: 'metal'\n", + "Replacing 'metallic' with existing keyword: 'metal'\n", + "Replacing 'woody' with existing keyword: 'wood'\n", + "Final keywords: {'table', 'desk', 'bed', 'old', 'vintage', 'metal', 'wood', 'old school'}\n" + ] + } + ], + "source": [ + "# Example keywords to compare to our list of existing keywords\n", + "example_keywords = ['bed frame', 'wooden', 'vintage', 'old school', 'desk', 'table', 'old', 'metal', 'metallic', 'woody']\n", + "final_keywords = []\n", + "\n", + "for k in example_keywords:\n", + " final_keywords.append(replace_keyword(k))\n", + " \n", + "final_keywords = set(final_keywords)\n", + "print(f\"Final keywords: {final_keywords}\")" + ] + }, + { + "cell_type": "markdown", + "id": "11b0afa1", + "metadata": {}, + "source": [ + "## Generate captions\n", + "\n", + "In this section, we'll use GPT-4V to generate an image description and then use a few-shot examples approach with GPT-4-turbo to generate captions from the images.\n", + "\n", + "If few-shot examples are not enough for your use case, consider fine-tuning a model to get the generated captions to match the style & tone you are targeting. " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "c67a434b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    titleprimary_imagestylematerialcolorurl
    0GOYMFK 1pc Free Standing Shoe Rack, Multi-laye...https://m.media-amazon.com/images/I/416WaLx10j...ModernMetalWhitehttps://www.amazon.com/dp/B0CJHKVG6P
    1subrtex Leather ding Room, Dining Chairs Set o...https://m.media-amazon.com/images/I/31SejUEWY7...Black Rubber WoodSpongeBlackhttps://www.amazon.com/dp/B0B66QHB23
    2Plant Repotting Mat MUYETOL Waterproof Transpl...https://m.media-amazon.com/images/I/41RgefVq70...ModernPolyethyleneGreenhttps://www.amazon.com/dp/B0BXRTWLYK
    3Pickleball Doormat, Welcome Doormat Absorbent ...https://m.media-amazon.com/images/I/61vz1Igler...ModernRubberA5589https://www.amazon.com/dp/B0C1MRB2M8
    4JOIN IRON Foldable TV Trays for Eating Set of ...https://m.media-amazon.com/images/I/41p4d4VJnN...X Classic StyleIronGrey Set of 4https://www.amazon.com/dp/B0CG1N9QRC
    \n", + "
    " + ], + "text/plain": [ + " title \\\n", + "0 GOYMFK 1pc Free Standing Shoe Rack, Multi-laye... \n", + "1 subrtex Leather ding Room, Dining Chairs Set o... \n", + "2 Plant Repotting Mat MUYETOL Waterproof Transpl... \n", + "3 Pickleball Doormat, Welcome Doormat Absorbent ... \n", + "4 JOIN IRON Foldable TV Trays for Eating Set of ... \n", + "\n", + " primary_image style \\\n", + "0 https://m.media-amazon.com/images/I/416WaLx10j... Modern \n", + "1 https://m.media-amazon.com/images/I/31SejUEWY7... Black Rubber Wood \n", + "2 https://m.media-amazon.com/images/I/41RgefVq70... Modern \n", + "3 https://m.media-amazon.com/images/I/61vz1Igler... Modern \n", + "4 https://m.media-amazon.com/images/I/41p4d4VJnN... X Classic Style \n", + "\n", + " material color url \n", + "0 Metal White https://www.amazon.com/dp/B0CJHKVG6P \n", + "1 Sponge Black https://www.amazon.com/dp/B0B66QHB23 \n", + "2 Polyethylene Green https://www.amazon.com/dp/B0BXRTWLYK \n", + "3 Rubber A5589 https://www.amazon.com/dp/B0C1MRB2M8 \n", + "4 Iron Grey Set of 4 https://www.amazon.com/dp/B0CG1N9QRC " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Cleaning up dataset columns\n", + "selected_columns = ['title', 'primary_image', 'style', 'material', 'color', 'url']\n", + "df = df[selected_columns].copy()\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "9bb5c4fa", + "metadata": {}, + "source": [ + "### Describing images with GPT-4V" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "561912fc", + "metadata": {}, + "outputs": [], + "source": [ + "describe_system_prompt = '''\n", + " You are a system generating descriptions for furniture items, decorative items, or furnishings on an e-commerce website.\n", + " Provided with an image and a title, you will describe the main item that you see in the image, giving details but staying concise.\n", + " You can describe unambiguously what the item is and its material, color, and style if clearly identifiable.\n", + " If there are multiple items depicted, refer to the title to understand which item you should describe.\n", + " '''\n", + "\n", + "def describe_image(img_url, title):\n", + " response = client.chat.completions.create(\n", + " model=\"gpt-4-vision-preview\",\n", + " temperature=0.2,\n", + " messages=[\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": describe_system_prompt\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\n", + " \"type\": \"image_url\",\n", + " \"image_url\": img_url,\n", + " },\n", + " ],\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": title\n", + " }\n", + " ],\n", + " max_tokens=300,\n", + " )\n", + "\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "markdown", + "id": "f46f6486", + "metadata": {}, + "source": [ + "#### Testing on a few examples" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "a0351489", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me... - https://www.amazon.com/dp/B0CJHKVG6P :\n", + "\n", + "This is a free-standing shoe rack featuring a multi-layer design, constructed from metal for durability. The rack is finished in a clean white color, which gives it a modern and versatile look, suitable for various home decor styles. It includes several horizontal shelves dedicated to organizing shoes, providing ample space for multiple pairs.\n", + "\n", + "Additionally, the rack is equipped with 8 double hooks, which are integrated into the frame above the shoe shelves. These hooks offer extra functionality, allowing for the hanging of accessories such as hats, scarves, or bags. The design is space-efficient and ideal for placement in living rooms, bathrooms, hallways, or entryways, where it can serve as a practical storage solution while contributing to the tidiness and aesthetic of the space.\n", + "--------------------------\n", + "\n", + "subrtex Leather ding Room, Dining Chairs Set of 2,... - https://www.amazon.com/dp/B0B66QHB23 :\n", + "\n", + "This image showcases a set of two dining chairs. The chairs are upholstered in black leather, featuring a sleek and modern design. They have a high back with subtle stitching details that create vertical lines, adding an element of elegance to the overall appearance. The legs of the chairs are also black, maintaining a consistent color scheme and enhancing the sophisticated look. These chairs would make a stylish addition to any contemporary dining room setting.\n", + "--------------------------\n", + "\n", + "Plant Repotting Mat MUYETOL Waterproof Transplanti... - https://www.amazon.com/dp/B0BXRTWLYK :\n", + "\n", + "This is a square plant repotting mat designed for indoor gardening activities such as transplanting or changing soil for plants. The mat measures 26.8 inches by 26.8 inches, providing ample space for gardening tasks. It is made from a waterproof material, which is likely a durable, easy-to-clean fabric, in a vibrant green color. The edges of the mat are raised with corner fastenings to keep soil and water contained, making the workspace tidy and preventing messes. The mat is also foldable, which allows for convenient storage when not in use. This mat is suitable for a variety of gardening tasks, including working with succulents and other small plants, and it can be a practical gift for garden enthusiasts.\n", + "--------------------------\n", + "\n", + "Pickleball Doormat, Welcome Doormat Absorbent Non-... - https://www.amazon.com/dp/B0C1MRB2M8 :\n", + "\n", + "This is a rectangular doormat featuring a playful design that caters to pickleball enthusiasts. The mat's background is a natural coir color, which is a fibrous material made from coconut husks, known for its durability and excellent scraping properties. Emblazoned across the mat in bold, black letters is the phrase \"it's a good day to play PICKLEBALL,\" with the word \"PICKLEBALL\" being prominently displayed in larger font size. Below the text, there are two crossed pickleball paddles in black, symbolizing the sport.\n", + "\n", + "The doormat measures approximately 16x24 inches, making it a suitable size for a variety of entryways. Its design suggests that it has an absorbent quality, which would be useful for wiping shoes and preventing dirt from entering the home. Additionally, the description implies that the doormat has a non-slip feature, which is likely due to a backing material that helps keep the mat in place on various floor surfaces. This mat would be a welcoming addition to the home of any pickleball player or sports enthusiast, offering both functionality and a touch of personal interest.\n", + "--------------------------\n", + "\n", + "JOIN IRON Foldable TV Trays for Eating Set of 4 wi... - https://www.amazon.com/dp/B0CG1N9QRC :\n", + "\n", + "This image features a set of four foldable TV trays with a stand, designed for eating or as snack tables. The tables are presented in a sleek grey finish, which gives them a modern and versatile look, suitable for a variety of home decor styles. Each tray table has a rectangular top with a wood grain texture, supported by a sturdy black iron frame that folds easily for compact storage. The accompanying stand allows for neat organization and easy access when the tables are not in use. These tables are ideal for small spaces where multifunctional furniture is essential, offering a convenient surface for meals, work, or leisure activities.\n", + "--------------------------\n", + "\n" + ] + } + ], + "source": [ + "for index, row in examples.iterrows():\n", + " print(f\"{row['title'][:50]}{'...' if len(row['title']) > 50 else ''} - {row['url']} :\\n\")\n", + " img_description = describe_image(row['primary_image'], row['title'])\n", + " print(f\"{img_description}\\n--------------------------\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "d63f628f", + "metadata": {}, + "source": [ + "### Turning descriptions into captions\n", + "Using a few-shot examples approach to turn a long description into a short image caption" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "66b5bc53", + "metadata": {}, + "outputs": [], + "source": [ + "caption_system_prompt = '''\n", + "Your goal is to generate short, descriptive captions for images of furniture items, decorative items, or furnishings based on an image description.\n", + "You will be provided with a description of an item image and you will output a caption that captures the most important information about the item.\n", + "Your generated caption should be short (1 sentence), and include the most relevant information about the item.\n", + "The most important information could be: the type of the item, the style (if mentioned), the material if especially relevant and any distinctive features.\n", + "'''\n", + "\n", + "few_shot_examples = [\n", + " {\n", + " \"description\": \"This is a multi-layer metal shoe rack featuring a free-standing design. It has a clean, white finish that gives it a modern and versatile look, suitable for various home decors. The rack includes several horizontal shelves dedicated to organizing shoes, providing ample space for multiple pairs. Above the shoe storage area, there are 8 double hooks arranged in two rows, offering additional functionality for hanging items such as hats, scarves, or bags. The overall structure is sleek and space-saving, making it an ideal choice for placement in living rooms, bathrooms, hallways, or entryways where efficient use of space is essential.\",\n", + " \"caption\": \"White metal free-standing shoe rack\"\n", + " },\n", + " {\n", + " \"description\": \"The image shows a set of two dining chairs in black. These chairs are upholstered in a leather-like material, giving them a sleek and sophisticated appearance. The design features straight lines with a slight curve at the top of the high backrest, which adds a touch of elegance. The chairs have a simple, vertical stitching detail on the backrest, providing a subtle decorative element. The legs are also black, creating a uniform look that would complement a contemporary dining room setting. The chairs appear to be designed for comfort and style, suitable for both casual and formal dining environments.\",\n", + " \"caption\": \"Set of 2 modern black leather dining chairs\"\n", + " },\n", + " {\n", + " \"description\": \"This is a square plant repotting mat designed for indoor gardening tasks such as transplanting and changing soil for plants. It measures 26.8 inches by 26.8 inches and is made from a waterproof material, which appears to be a durable, easy-to-clean fabric in a vibrant green color. The edges of the mat are raised with integrated corner loops, likely to keep soil and water contained during gardening activities. The mat is foldable, enhancing its portability, and can be used as a protective surface for various gardening projects, including working with succulents. It's a practical accessory for garden enthusiasts and makes for a thoughtful gift for those who enjoy indoor plant care.\",\n", + " \"caption\": \"Waterproof square plant repotting mat\"\n", + " }\n", + "]\n", + "\n", + "formatted_examples = [[{\n", + " \"role\": \"user\",\n", + " \"content\": ex['description']\n", + "},\n", + "{\n", + " \"role\": \"assistant\", \n", + " \"content\": ex['caption']\n", + "}]\n", + " for ex in few_shot_examples\n", + "]\n", + "\n", + "formatted_examples = [i for ex in formatted_examples for i in ex]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "b5ac5262", + "metadata": {}, + "outputs": [], + "source": [ + "def caption_image(description, model=\"gpt-4-turbo-preview\"):\n", + " messages = formatted_examples\n", + " messages.insert(0, \n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": caption_system_prompt\n", + " })\n", + " messages.append(\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": description\n", + " })\n", + " response = client.chat.completions.create(\n", + " model=model,\n", + " temperature=0.2,\n", + " messages=messages\n", + " )\n", + "\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "markdown", + "id": "f5661152", + "metadata": {}, + "source": [ + "#### Testing on a few examples" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "2d8f3427", + "metadata": {}, + "outputs": [], + "source": [ + "examples = df.iloc[5:8]" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "b426d22d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Stor... - https://www.amazon.com/dp/B0C9WYYFLB :\n", + "\n", + "This is a LOVMOR 30'' Bathroom Vanity Sink Base Cabinet featuring a classic design with a rich brown finish. The cabinet is designed to provide ample storage with three drawers on the left side, offering organized space for bathroom essentials. The drawers are likely to have smooth glides for easy operation. Below the drawers, there is a large cabinet door that opens to reveal additional storage space, suitable for larger items. The paneling on the drawers and door features a raised, framed design, adding a touch of elegance to the overall appearance. This vanity base is versatile and can be used not only in bathrooms but also in kitchens, laundry rooms, and other areas where extra storage is needed. The construction material is not specified, but it appears to be made of wood or a wood-like composite. Please note that the countertop and sink are not included and would need to be purchased separately.\n", + "--------------------------\n", + "\n", + "LOVMOR 30'' classic brown bathroom vanity base cabinet with three drawers and additional storage space.\n", + "--------------------------\n", + "\n", + "Folews Bathroom Organizer Over The Toilet Storage,... - https://www.amazon.com/dp/B09NZY3R1T :\n", + "\n", + "This is a 4-tier bathroom organizer designed to fit over a standard toilet, providing a space-saving storage solution. The unit is constructed with a sturdy metal frame in a black finish, which offers both durability and a sleek, modern look. The design includes four shelves that offer ample space for bathroom essentials, towels, and decorative items. Two of the shelves are designed with a metal grid pattern, while the other two feature a solid metal surface for stable storage.\n", + "\n", + "Additionally, the organizer includes adjustable baskets, which can be positioned according to your storage needs, allowing for customization and flexibility. The freestanding structure is engineered to maximize the unused vertical space above the toilet, making it an ideal choice for small bathrooms or for those looking to declutter countertops and cabinets.\n", + "\n", + "The overall design is minimalist and functional, with clean lines that can complement a variety of bathroom decors. The open shelving concept ensures that items are easily accessible and visible. Installation is typically straightforward, with no need for wall mounting, making it a convenient option for renters or those who prefer not to drill into walls.\n", + "--------------------------\n", + "\n", + "Modern 4-tier black metal bathroom organizer with adjustable shelves and baskets, designed to fit over a standard toilet for space-saving storage.\n", + "--------------------------\n", + "\n", + "GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me... - https://www.amazon.com/dp/B0CJHKVG6P :\n", + "\n", + "This is a multi-functional free-standing shoe rack featuring a sturdy metal construction with a white finish. It is designed with multiple layers, providing ample space to organize and store shoes. The rack includes four tiers dedicated to shoe storage, each tier capable of holding several pairs of shoes.\n", + "\n", + "Above the shoe storage area, there is an additional shelf that can be used for placing bags, small decorative items, or other accessories. At the top, the rack is equipped with 8 double hooks, which are ideal for hanging hats, scarves, coats, or umbrellas, making it a versatile piece for an entryway, living room, bathroom, or hallway.\n", + "\n", + "The overall design is sleek and modern, with clean lines that would complement a variety of home decor styles. The vertical structure of the rack makes it a space-saving solution for keeping footwear and accessories organized in areas with limited floor space.\n", + "--------------------------\n", + "\n", + "Multi-layer white metal shoe rack with additional shelf and 8 double hooks for versatile storage in entryways or hallways.\n", + "--------------------------\n", + "\n" + ] + } + ], + "source": [ + "for index, row in examples.iterrows():\n", + " print(f\"{row['title'][:50]}{'...' if len(row['title']) > 50 else ''} - {row['url']} :\\n\")\n", + " img_description = describe_image(row['primary_image'], row['title'])\n", + " print(f\"{img_description}\\n--------------------------\\n\")\n", + " img_caption = caption_image(img_description)\n", + " print(f\"{img_caption}\\n--------------------------\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "b4b5e705", + "metadata": {}, + "source": [ + "## Image search\n", + "\n", + "In this section, we will use generated keywords and captions to search items that match a given input, either text or image.\n", + "\n", + "We will leverage our embeddings model to generate embeddings for the keywords and captions and compare them to either input text or the generated caption from an input image." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "302d251d", + "metadata": {}, + "outputs": [], + "source": [ + "# Df we'll use to compare keywords\n", + "df_keywords = pd.DataFrame(columns=['keyword', 'embedding'])\n", + "df['keywords'] = ''\n", + "df['img_description'] = ''\n", + "df['caption'] = ''" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "9285bb14", + "metadata": {}, + "outputs": [], + "source": [ + "# Function to replace a keyword with an existing keyword if it's too similar\n", + "def get_keyword(keyword, df_keywords, threshold = 0.6):\n", + " embedded_value = get_embedding(keyword)\n", + " df_keywords['similarity'] = df_keywords['embedding'].apply(lambda x: cosine_similarity(np.array(x).reshape(1,-1), np.array(embedded_value).reshape(1, -1)))\n", + " sorted_keywords = df_keywords.copy().sort_values('similarity', ascending=False)\n", + " if len(sorted_keywords) > 0 :\n", + " most_similar = sorted_keywords.iloc[0]\n", + " if most_similar['similarity'] > threshold:\n", + " print(f\"Replacing '{keyword}' with existing keyword: '{most_similar['keyword']}'\")\n", + " return most_similar['keyword']\n", + " new_keyword = {\n", + " 'keyword': keyword,\n", + " 'embedding': embedded_value\n", + " }\n", + " df_keywords = pd.concat([df_keywords, pd.DataFrame([new_keyword])], ignore_index=True)\n", + " return keyword" + ] + }, + { + "cell_type": "markdown", + "id": "0a4051ae", + "metadata": {}, + "source": [ + "### Preparing the dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "297bbc45", + "metadata": {}, + "outputs": [], + "source": [ + "import ast\n", + "\n", + "def tag_and_caption(row):\n", + " keywords = analyze_image(row['primary_image'], row['title'])\n", + " try:\n", + " keywords = ast.literal_eval(keywords)\n", + " mapped_keywords = [get_keyword(k, df_keywords) for k in keywords]\n", + " except Exception as e:\n", + " print(f\"Error parsing keywords: {keywords}\")\n", + " mapped_keywords = []\n", + " img_description = describe_image(row['primary_image'], row['title'])\n", + " caption = caption_image(img_description)\n", + " return {\n", + " 'keywords': mapped_keywords,\n", + " 'img_description': img_description,\n", + " 'caption': caption\n", + " }\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "e62b8708", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(312, 9)" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "id": "d59b4b98", + "metadata": {}, + "source": [ + "Processing all 312 lines of the dataset will take a while.\n", + "To test out the idea, we will only run it on the first 50 lines: this takes ~20 mins. \n", + "Feel free to skip this step and load the already processed dataset (see below)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "43ec629b", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Running on first 50 lines\n", + "for index, row in df[:50].iterrows():\n", + " print(f\"{index} - {row['title'][:50]}{'...' if len(row['title']) > 50 else ''}\")\n", + " updates = tag_and_caption(row)\n", + " df.loc[index, updates.keys()] = updates.values()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "85febcd2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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    1subrtex Leather ding Room, Dining Chairs Set o...https://m.media-amazon.com/images/I/31SejUEWY7...Black Rubber WoodSpongeBlackhttps://www.amazon.com/dp/B0B66QHB23[dining chairs, set of 2, leather, black]This image features a set of two black dining ...Set of 2 sleek black faux leather dining chair...
    2Plant Repotting Mat MUYETOL Waterproof Transpl...https://m.media-amazon.com/images/I/41RgefVq70...ModernPolyethyleneGreenhttps://www.amazon.com/dp/B0BXRTWLYK[plant repotting mat, waterproof, portable, fo...This is a square plant repotting mat designed ...Waterproof green square plant repotting mat
    3Pickleball Doormat, Welcome Doormat Absorbent ...https://m.media-amazon.com/images/I/61vz1Igler...ModernRubberA5589https://www.amazon.com/dp/B0C1MRB2M8[doormat, absorbent, non-slip, brown]This is a rectangular doormat featuring a play...Pickleball-themed coir doormat with playful de...
    4JOIN IRON Foldable TV Trays for Eating Set of ...https://m.media-amazon.com/images/I/41p4d4VJnN...X Classic StyleIronGrey Set of 4https://www.amazon.com/dp/B0CG1N9QRC[tv tray table set, foldable, iron, grey]This image showcases a set of two foldable TV ...Set of two foldable TV trays with grey wood gr...
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    titleprimary_imagestylematerialcolorurlkeywordsimg_descriptioncaptionembedding
    0GOYMFK 1pc Free Standing Shoe Rack, Multi-laye...https://m.media-amazon.com/images/I/416WaLx10j...ModernMetalWhitehttps://www.amazon.com/dp/B0CJHKVG6P['shoe rack', 'free standing', 'multi-layer', ...This is a free-standing shoe rack featuring a ...White metal free-standing shoe rack with multi...[-0.06596625, -0.026769113, -0.013789515, -0.0...
    1subrtex Leather ding Room, Dining Chairs Set o...https://m.media-amazon.com/images/I/31SejUEWY7...Black Rubber WoodSpongeBlackhttps://www.amazon.com/dp/B0B66QHB23['dining chairs', 'set of 2', 'leather', 'black']This image features a set of two black dining ...Set of 2 sleek black faux leather dining chair...[-0.0077859573, -0.010376813, -0.01928079, -0....
    2Plant Repotting Mat MUYETOL Waterproof Transpl...https://m.media-amazon.com/images/I/41RgefVq70...ModernPolyethyleneGreenhttps://www.amazon.com/dp/B0BXRTWLYK['plant repotting mat', 'waterproof', 'portabl...This is a square plant repotting mat designed ...Waterproof green square plant repotting mat[-0.023248248, 0.005370147, -0.0048999498, -0....
    3Pickleball Doormat, Welcome Doormat Absorbent ...https://m.media-amazon.com/images/I/61vz1Igler...ModernRubberA5589https://www.amazon.com/dp/B0C1MRB2M8['doormat', 'absorbent', 'non-slip', 'brown']This is a rectangular doormat featuring a play...Pickleball-themed coir doormat with playful de...[-0.028953036, -0.026369056, -0.011363288, 0.0...
    4JOIN IRON Foldable TV Trays for Eating Set of ...https://m.media-amazon.com/images/I/41p4d4VJnN...X Classic StyleIronGrey Set of 4https://www.amazon.com/dp/B0CG1N9QRC['tv tray table set', 'foldable', 'iron', 'grey']This image showcases a set of two foldable TV ...Set of two foldable TV trays with grey wood gr...[-0.030723095, -0.0051356032, -0.027088132, 0....
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    " + ], + "text/plain": [ + " title \\\n", + "0 GOYMFK 1pc Free Standing Shoe Rack, Multi-laye... \n", + "1 subrtex Leather ding Room, Dining Chairs Set o... \n", + "2 Plant Repotting Mat MUYETOL Waterproof Transpl... \n", + "3 Pickleball Doormat, Welcome Doormat Absorbent ... \n", + "4 JOIN IRON Foldable TV Trays for Eating Set of ... \n", + "\n", + " primary_image style \\\n", + "0 https://m.media-amazon.com/images/I/416WaLx10j... Modern \n", + "1 https://m.media-amazon.com/images/I/31SejUEWY7... Black Rubber Wood \n", + "2 https://m.media-amazon.com/images/I/41RgefVq70... Modern \n", + "3 https://m.media-amazon.com/images/I/61vz1Igler... Modern \n", + "4 https://m.media-amazon.com/images/I/41p4d4VJnN... X Classic Style \n", + "\n", + " material color url \\\n", + "0 Metal White https://www.amazon.com/dp/B0CJHKVG6P \n", + "1 Sponge Black https://www.amazon.com/dp/B0B66QHB23 \n", + "2 Polyethylene Green https://www.amazon.com/dp/B0BXRTWLYK \n", + "3 Rubber A5589 https://www.amazon.com/dp/B0C1MRB2M8 \n", + "4 Iron Grey Set of 4 https://www.amazon.com/dp/B0CG1N9QRC \n", + "\n", + " keywords \\\n", + "0 ['shoe rack', 'free standing', 'multi-layer', ... \n", + "1 ['dining chairs', 'set of 2', 'leather', 'black'] \n", + "2 ['plant repotting mat', 'waterproof', 'portabl... \n", + "3 ['doormat', 'absorbent', 'non-slip', 'brown'] \n", + "4 ['tv tray table set', 'foldable', 'iron', 'grey'] \n", + "\n", + " img_description \\\n", + "0 This is a free-standing shoe rack featuring a ... \n", + "1 This image features a set of two black dining ... \n", + "2 This is a square plant repotting mat designed ... \n", + "3 This is a rectangular doormat featuring a play... \n", + "4 This image showcases a set of two foldable TV ... \n", + "\n", + " caption \\\n", + "0 White metal free-standing shoe rack with multi... \n", + "1 Set of 2 sleek black faux leather dining chair... \n", + "2 Waterproof green square plant repotting mat \n", + "3 Pickleball-themed coir doormat with playful de... \n", + "4 Set of two foldable TV trays with grey wood gr... \n", + "\n", + " embedding \n", + "0 [-0.06596625, -0.026769113, -0.013789515, -0.0... \n", + "1 [-0.0077859573, -0.010376813, -0.01928079, -0.... \n", + "2 [-0.023248248, 0.005370147, -0.0048999498, -0.... \n", + "3 [-0.028953036, -0.026369056, -0.011363288, 0.0... \n", + "4 [-0.030723095, -0.0051356032, -0.027088132, 0.... " + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_search.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "f4a3558f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(49, 10)\n" + ] + } + ], + "source": [ + "# Keep only the lines where we have embeddings\n", + "df_search = df_search.dropna(subset=['embedding'])\n", + "print(df_search.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "5d0bc2df", + "metadata": {}, + "outputs": [], + "source": [ + "# Saving locally for later\n", + "data_embeddings_path = \"data/items_tagged_and_captioned_embeddings.csv\"\n", + "df_search.to_csv(data_embeddings_path, index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "1794c6fb", + "metadata": {}, + "outputs": [], + "source": [ + "# Optional: load data from saved file\n", + "from ast import literal_eval\n", + "df_search = pd.read_csv(data_embeddings_path)\n", + "df_search[\"embedding\"] = df_search.embedding.apply(literal_eval).apply(np.array)" + ] + }, + { + "cell_type": "markdown", + "id": "c255a1bc", + "metadata": {}, + "source": [ + "### Search from input text \n", + "\n", + "We can compare the input text from a user directly to the embeddings we just created." + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "1c957f85", + "metadata": {}, + "outputs": [], + "source": [ + "# Searching for N most similar results\n", + "def search_from_input_text(query, n = 2):\n", + " embedded_value = get_embedding(query)\n", + " df_search['similarity'] = df_search['embedding'].apply(lambda x: cosine_similarity(np.array(x).reshape(1,-1), np.array(embedded_value).reshape(1, -1)))\n", + " most_similar = df_search.sort_values('similarity', ascending=False).iloc[:n]\n", + " return most_similar" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "94d48746", + "metadata": {}, + "outputs": [], + "source": [ + "user_inputs = ['shoe storage', 'black metal side table', 'doormat', 'step bookshelf', 'ottoman']" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "828e6adf", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Input: shoe storage\n", + "\n", + "GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me... (https://www.amazon.com/dp/B0CJHKVG6P) - Similarity: 0.62\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me... (https://www.amazon.com/dp/B0CJHKVG6P) - Similarity: 0.57\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: black metal side table\n", + "\n", + "FLYJOE Narrow Side Table with PU Leather Magazine ... (https://www.amazon.com/dp/B0CHYDTQKN) - Similarity: 0.59\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "HomePop Metal Accent Table Triangle Base Round Mir... (https://www.amazon.com/dp/B08N5H868H) - Similarity: 0.57\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: doormat\n", + "\n", + "Pickleball Doormat, Welcome Doormat Absorbent Non-... (https://www.amazon.com/dp/B0C1MRB2M8) - Similarity: 0.59\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Caroline's Treasures PPD3013JMAT Enchanted Garden ... (https://www.amazon.com/dp/B08Q5KDSQK) - Similarity: 0.57\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: step bookshelf\n", + "\n", + "Leick Home 70007-WTGD Mixed Metal and Wood Stepped... (https://www.amazon.com/dp/B098KNRNLQ) - Similarity: 0.61\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Wildkin Kids Canvas Sling Bookshelf with Storage f... (https://www.amazon.com/dp/B07GBVFZ1Y) - Similarity: 0.47\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: ottoman\n", + "\n", + "HomePop Home Decor | K2380-YDQY-2 | Luxury Large F... (https://www.amazon.com/dp/B0B94T1TZ1) - Similarity: 0.53\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Moroccan Leather Pouf Ottoman for Living Room - Ro... (https://www.amazon.com/dp/B0CP45784G) - Similarity: 0.51\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n" + ] + } + ], + "source": [ + "for i in user_inputs:\n", + " print(f\"Input: {i}\\n\")\n", + " res = search_from_input_text(i)\n", + " for index, row in res.iterrows():\n", + " similarity_score = row['similarity']\n", + " if isinstance(similarity_score, np.ndarray):\n", + " similarity_score = similarity_score[0][0]\n", + " print(f\"{row['title'][:50]}{'...' if len(row['title']) > 50 else ''} ({row['url']}) - Similarity: {similarity_score:.2f}\")\n", + " img = Image(url=row['primary_image'])\n", + " display(img)\n", + " print(\"\\n\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "13d20f4d", + "metadata": {}, + "source": [ + "### Search from image\n", + "\n", + "If the input is an image, we can find similar images by first turning images into captions, and embedding those captions to compare them to the already created embeddings." + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "bdae7409", + "metadata": {}, + "outputs": [], + "source": [ + "# We'll take a mix of images: some we haven't seen and some that are already in the dataset\n", + "example_images = df.iloc[306:]['primary_image'].to_list() + df.iloc[5:10]['primary_image'].to_list()" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "78845a30", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mimoglad Office Chair, High Back Ergonomic Desk Ch... (https://www.amazon.com/dp/B0C2YQZS69) - Similarity: 0.63\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CangLong Mid Century Modern Side Chair with Wood L... (https://www.amazon.com/dp/B08RTLBD1T) - Similarity: 0.51\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAEPA RV Shoe Storage for Bedside - 8 Extra Large ... (https://www.amazon.com/dp/B0C4PL1R3F) - Similarity: 0.61\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Chief Mfg.Swing-Arm Wall Mount Hardware Mount Blac... (https://www.amazon.com/dp/B007E40Z5K) - Similarity: 0.63\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "HomePop Home Decor | K2380-YDQY-2 | Luxury Large F... (https://www.amazon.com/dp/B0B94T1TZ1) - Similarity: 0.63\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CangLong Mid Century Modern Side Chair with Wood L... (https://www.amazon.com/dp/B08RTLBD1T) - Similarity: 0.58\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Stor... (https://www.amazon.com/dp/B0C9WYYFLB) - Similarity: 0.69\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Folews Bathroom Organizer Over The Toilet Storage,... (https://www.amazon.com/dp/B09NZY3R1T) - Similarity: 0.82\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Me... (https://www.amazon.com/dp/B0CJHKVG6P) - Similarity: 0.69\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "subrtex Leather ding Room, Dining Chairs Set of 2,... (https://www.amazon.com/dp/B0B66QHB23) - Similarity: 0.87\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Input: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plant Repotting Mat MUYETOL Waterproof Transplanti... (https://www.amazon.com/dp/B0BXRTWLYK) - Similarity: 0.69\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n" + ] + } + ], + "source": [ + "for i in example_images:\n", + " img_description = describe_image(i, '')\n", + " caption = caption_image(img_description)\n", + " img = Image(url=i)\n", + " print('Input: \\n')\n", + " display(img)\n", + " res = search_from_input_text(caption, 1).iloc[0]\n", + " similarity_score = res['similarity']\n", + " if isinstance(similarity_score, np.ndarray):\n", + " similarity_score = similarity_score[0][0]\n", + " print(f\"{res['title'][:50]}{'...' if len(res['title']) > 50 else ''} ({res['url']}) - Similarity: {similarity_score:.2f}\")\n", + " img_res = Image(url=res['primary_image'])\n", + " display(img_res)\n", + " print(\"\\n\\n\")\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "8f3f316d", + "metadata": {}, + "source": [ + "## Wrapping up\n", + "\n", + "\n", + "In this notebook, we explored how to leverage the multimodal capabilities of GPT-4V to tag and caption images. By providing images along with contextual information to the model, we were able to generate tags and descriptions that can be further refined using a language model like GPT-4-turbo to create captions. This process has practical applications in various scenarios, particularly in enhancing search functionalities.\n", + "\n", + "The search use case illustrated can be directly applied to applications such as recommendation systems, but the techniques covered in this notebook can be extended beyond items search and used in multiple use cases, for example RAG applications leveraging unstructured image data.\n", + "\n", + "As a next step, you could explore using a combination of rule-based filtering with keywords and embeddings search with captions to retrieve more relevant results." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/data/amazon_furniture_dataset.csv b/examples/data/amazon_furniture_dataset.csv new file mode 100644 index 0000000..48aa344 --- /dev/null +++ b/examples/data/amazon_furniture_dataset.csv @@ -0,0 +1,313 @@ +asin,url,title,brand,price,availability,categories,primary_image,images,upc,manufacturer,item_model_number,package_dimensions,date_first_available,country_of_origin,color,material,style,important_information,product_overview,about_item,description,specifications,uniq_id,scraped_at +B0CJHKVG6P,https://www.amazon.com/dp/B0CJHKVG6P,"GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Metal Shoe Cap Rack With 8 Double Hooks For Living Room, Bathroom, Hallway",GOYMFK,$24.99,Only 13 left in stock - order soon.,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Free Standing Shoe Racks']",https://m.media-amazon.com/images/I/416WaLx10jL._SS522_.jpg,"['https://m.media-amazon.com/images/I/416WaLx10jL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41kuxipTsuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51T9x4yZd3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61w6ifIrCpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51bBQlUn8GL._SS522_.jpg']",,GOYMFK,TK019,"2.36""D x 7.87""W x 21.6""H","September 21, 2023",China,White,Metal,Modern,[],"[{'Brand': ' GOYMFK '}, {'Color': ' White '}, {'Material': ' Metal '}, {'Recommended Uses For Product': ' Coats, Umbrella, Hats, Shoes '}, {'Product Dimensions': ' 2.36""D x 7.87""W x 21.6""H '}]","['Multiple layers: Provides ample storage space for shoes, coats, hats, and other accessories ', ' Easy assembly: Requires no tools and can be assembled in minutes ', ' Versatile design: Suitable for various rooms in the home, such as the hallway, living room, or bathroom ', ' Sturdy and durable: Made of high-quality metal for long-lasting use ', ' Dimensions: 47.24 inches high x 11.81 inches wide x 13.78 inches deep']","multiple shoes, coats, hats, and other items Easy to assemble: Includes all necessary hardware and instructions for easy assembly Versatile: Perfect for use in living rooms, bathrooms, hallways, and more","['Brand: GOYMFK', 'Color: White', 'Material: Metal', 'Recommended Uses For Product: Coats, Umbrella, Hats, Shoes', 'Product Dimensions: 2.36""D x 7.87""W x 21.6""H', 'Installation Type: Free Standing', 'Special Feature: Stackable', 'Style: Modern', 'Finish Type: Coated', 'Load Capacity: 44.1 Pounds', 'Number of Shelves: 5', 'Furniture Finish: Metal', 'Frame Material: Metal', 'Assembly Required: Yes', 'Maximum Weight Recommendation: 20 Kilograms', 'Manufacturer: GOYMFK', 'Part Number: TK019', 'Item Weight: 2.7 pounds', 'Country of Origin: China', 'Item model number: TK019', 'Finish: Coated', 'Special Features: Stackable', 'Included Components: 1 x Assembly instructions', 'Batteries Included?: No', 'Batteries Required?: No', 'Warranty Description: 1 year', 'ASIN: B0CJHKVG6P', 'Customer Reviews: 1.0 1.0 out of 5 stars \n 1 rating \n\n\n 1.0 out of 5 stars', 'Best Sellers Rank: #569,353 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,051 in Free Standing Shoe Racks', 'Date First Available: September 21, 2023']",02593e81-5c09-5069-8516-b0b29f439ded,2024-02-02 15:15:08 +B0B66QHB23,https://www.amazon.com/dp/B0B66QHB23,"subrtex Leather ding Room, Dining Chairs Set of 2, Black",subrtex,,,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/31SejUEWY7L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31SejUEWY7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mr+A9JmbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41JjrWgA0XL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ie5FbnfkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41EDoJzFehL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31RijT4dnfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71hWfuIyNPL.SS125_SS522_.jpg']",,Subrtex Houseware INC,VCZYSBTPZCY04,"18.5""D x 16""W x 35""H","July 10, 2022",,Black,Sponge,Black Rubber Wood,[],,"['【Easy Assembly】: Set of 2 dining room chairs. To make it easier for you to install our chairs, we have included tools and instructions in the package and added an installation video to the webpage. It will make the whole installation process easier and quicker(Estimated time 10-20 minutes). ', ' 【Waterproof Leather Fabric】: subrtex upholstered dinging room chair is made of premium pu leather, waterproof, breathable, skin-friendly and easy to clean when it gets water or dirty. ', ' 【Black Rubber Wood Legs】: Hold up to 265 LBS. Anti-slip padded feet design that can prevent the floor from scratching. Tips: The solid wooden legs can not be replaced individually, if you encounter problems with the legs, you can contact us to replace a new dining chair. ', ' 【Ergonomic Backrest Design】: Ergonomically designed chair back, effectively protecting your waist and back.sitting for a long time without fatigue. The simple backrest decoration fits perfectly into any kitchen, dining room decor. ', ' 【Customer Services】: One year warranty, if you have any quality or installation problems with the components of this dining room chair you can contact us, we will definitely give you a satisfactory solution, it will be a good choice!']",subrtex Dining chairs Set of 2,"['Brand: subrtex', 'Color: Black', 'Product Dimensions: 18.5""D x 16""W x 35""H', 'Size: Dining Chairs set of 2', 'Back Style: Solid Back', 'Special Feature: Ergonomic', 'Product Care Instructions: Dry Clean, Wipe Clean', 'Unit Count: 2.0 Count', 'Recommended Uses For Product: Dining,Living Room', 'Maximum Weight Recommendation: 265 Pounds', 'Style: Dining Chairs', 'Pattern: Solid', 'Room Type: Kitchen, Living Room, Dining Room', 'Age Range (Description): Teen', 'Included Components: dining room chairs set of 2', 'Shape: Rectangular', 'Model Name: leather dining chairs', 'Cartoon Character: Waterproof', 'Surface Recommendation: Hard Floor', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Upholstered', 'Furniture Finish: Leather', 'Fill Material: Sponge', 'Cushion Style: Upholstered', 'Leg Style: Black Rubber Wood', 'Item Weight: 25.4 pounds', 'Manufacturer: Subrtex Houseware INC', 'ASIN: B0B66QHB23', 'Item model number: VCZYSBTPZCY04', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 14 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #2,872,859 in Home & Kitchen (See Top 100 in Home & Kitchen) #4,615 in Kitchen & Dining Room Chairs', 'Date First Available: July 10, 2022']",5938d217-b8c5-5d3e-b1cf-e28e340f292e,2024-02-02 15:15:09 +B0BXRTWLYK,https://www.amazon.com/dp/B0BXRTWLYK,"Plant Repotting Mat MUYETOL Waterproof Transplanting Mat Indoor 26.8"" x 26.8"" Portable Square Foldable Easy to Clean Gardening Work Mat Soil Changing Mat Succulent Plant Transplanting Mat Garden Gifts",MUYETOL,$5.98,In Stock,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/41RgefVq70L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41RgefVq70L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414SPEuzxlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gknsPKCHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51mcO9+8GLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51BbYwggQSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51tkCe9KQzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71EIk5N4xcL.SS125_SS522_.jpg']",,MUYETOL,htdz-2038,"26.8""L x 26.8""W",,,Green,Polyethylene,Modern,[],"[{'Brand': ' MUYETOL '}, {'Size': ' 26.8*26.8 '}, {'Item Weight': ' 0.08 Kilograms '}, {'Pile Height': ' High Pile '}, {'Back Material Type': ' Polyethylene '}]","['PLANT REPOTTING MAT SIZE: 26.8"" x 26.8"", square, foldable, easy to carry. Good size perfectly suited for daily gardening needs. ', ' TRANSPLANTING MAT MATERIAL: High quality thick PE material, light texture and no odor. Double waterproof coating and very wear-resistant can be reused. A pair of buttons at each corner, if you button up it, the mat will turns into a square tray with sides, Keep soil and water from spilling. ', ' SOIL CHANGING MAT USES: This Gardening mat is perfect for indoor outdoor patio and lawn use for pot transplanting, soil changing, loosening, pruning, watering, fertilizing, transplanting, hydroponics, changing pots, clean up your vases, artwork etc, While controlling dirt and keeping it tidy. ', ' EASY TO CLEAN & STORE: Rinse with water or wipe clean with a damp paper towel or cloth. Easily folded, folded size 7"" x 7"" x 0.5"" or smaller, Takes up little space so it\'s easy to carry and store. ', ' GARDENING GIFT IDEAS: This foldable gardening mat can replace newspapers and cardboard boxes to make gardening easy fun and tidy, so this is a great gift for anyone who loves plants and gardening.']",,"['Brand: MUYETOL', 'Size: 26.8*26.8', 'Item Weight: 0.08 Kilograms', 'Pile Height: High Pile', 'Back Material Type: Polyethylene', 'Color: Green', 'Indoor/Outdoor Usage: Indoor', 'Theme: Garden,Plant,Succulent', 'Is Stain Resistant: No', 'Product Care Instructions: Hand Wash Only', 'Pattern: Solid', 'Shape: Rectangular', 'Special Feature: Waterproof', 'Product Dimensions: 26.8""L x 26.8""W', 'Style: Modern', 'Number of Pieces: 1', 'Item Weight: 2.89 ounces', 'Manufacturer: MUYETOL', 'ASIN: B0BXRTWLYK', 'Item model number: htdz-2038', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 107 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #19,814 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #272 in Outdoor Doormats', 'Antibacterial treatment: Buckle', 'Batteries required: No']",b2ede786-3f51-5a45-9a5b-bcf856958cd8,2024-02-02 15:15:09 +B0C1MRB2M8,https://www.amazon.com/dp/B0C1MRB2M8,"Pickleball Doormat, Welcome Doormat Absorbent Non-Slip Floor Mat Bathroom Mat 16x24",VEWETOL,$13.99,Only 10 left in stock - order soon.,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/61vz1IglerL._SS522_.jpg,"['https://m.media-amazon.com/images/I/61vz1IglerL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41KiuOZ9IlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61N7oADRxIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51P410C3CpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VZUO3bm3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61Gchr9jOHL._SS522_.jpg']",,Contrence,,"24""L x 16""W","April 6, 2023",,A5589,Rubber,Modern,[],"[{'Brand': ' VEWETOL '}, {'Size': ' 16*24INCH '}, {'Material': ' Polyester, Rubber '}, {'Pile Height': ' Low Pile '}, {'Back Material Type': ' Rubber '}]","['Specifications: 16x24 Inch ', "" High-Quality: Our mat's back are made of high quality rubber Material, Backed with a rubber non-slip, Made of high quality polyester. Perfect for both indoor and outdoor use. "", ' Easy to Wash: You Can be easily cleaned by shaking, can sweep with a broom, clean it with a hand-held vacuum. ', "" Decor Mat Use For Home: Have a wonderful begin in the kitchen/bathroom/indoor/floor mats/Living Room. Decor to your front door, home, lobby, farmhouse, office, patio, garage, bathroom, living spaces and many more common areas. As a gift for Valentine's Day, Christmas, Halloween,New Year, Birthday, all holiday and party gifts. "", ' Customer Service: We provide 100% 0 risk purchase, we promise the best service, if you have any question about our product, please contact us , we will reply by e-mail within 24 hours.']","The decorative doormat features a subtle textured surface that absorbs moisture and helps remove dirt and debris from your shoes.Molded from recycled rubber with a coarse polyester surface, this door mat offers added functionality for your entryways exposed to the elements.The low-profile height offers ideal functionality for high traffic areas and in entryways as it will not obstruct doors from opening or closing.Simply vacuum, shake out, or sweep off debris, spot clean with a solution of mild detergent and water. Do not bleach. Air dry. Dry flat.Greet your guests with this stylish and durable doormat. Perfect for any entryway in your home and Airbnb properties.We provide 100% 0 risk purchase, we promise the best service, if you have any question about our product, please contact us , we will reply by e-mail within 24 hours.","['Brand: VEWETOL', 'Size: 16*24INCH', 'Material: Polyester, Rubber', 'Pile Height: Low Pile', 'Back Material Type: Rubber', 'Color: A5589', 'Indoor/Outdoor Usage: Indoor', 'Is Stain Resistant: No', 'Product Care Instructions: Hand Wash Only', 'Pattern: Letter Print', 'Shape: Rectangular', 'Special Feature: Absorbent,Non-slip', 'Room Type: Bathroom', 'Product Dimensions: 24""L x 16""W', 'Rug Form Type: Doormat', 'Style: Modern', 'Item Weight: 3.36 ounces', 'Manufacturer: Contrence', 'ASIN: B0C1MRB2M8', 'Customer Reviews: 3.0 3.0 out of 5 stars \n 1 rating \n\n\n 3.0 out of 5 stars', 'Best Sellers Rank: #599,420 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #9,205 in Outdoor Doormats', 'Date First Available: April 6, 2023']",8fd9377b-cfa6-5f10-835c-6b8eca2816b5,2024-02-02 15:15:10 +B0CG1N9QRC,https://www.amazon.com/dp/B0CG1N9QRC,"JOIN IRON Foldable TV Trays for Eating Set of 4 with Stand,Folding TV/Snack Tray Table Set,Folding TV Dinner Tables for Small Space,(Grey)",JOIN IRON Store,$89.99,Usually ships within 5 to 6 weeks,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'TV Trays']",https://m.media-amazon.com/images/I/41p4d4VJnNL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41p4d4VJnNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nycdOa5kL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/416f7xG0D6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ayCcN+W7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51vzmAJZk8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ayCcN+W7L._SS522_.jpg']",,,,"18.9""D x 14.2""W x 26""H",,,Grey Set of 4,Iron,X Classic Style,[],,"['Includes 4 Folding Tv Tray Tables And one Coordinating Stand.TV Tray Table Set Measures: 26"" H x 18.9"" W x 14.2"" D, Coordinating Stand Set Measures: 34.4"" H x 10.5"" W x 10.2"" D,Desktop Material: Particleboard Wood; Support Material: Metal. ', ' 【X Classic Style】This elegant industrial-style TV tray combines an X-shaped base with industrial gray particleboard for a unique exquisite charm. Whether you want to match your home computer cabinet, coffee table or sofa, it will bring you convenience and speed. ', ' 【Multi-Occasion Use】Four folding tray tables can be used alone, or a combination of two tray tables, four tray tables can be used. Very suitable for a person in front of the TV to enjoy dinner or snacks, a few people outdoor picnic, etc., a variety of special occasions pull out to use. ', ' 【Versatile Use】This table not only provides ample room to keep things within reach but also works perfectly as a quick pop-up table to serve extra drinks and snacks. The perfect addition to dorm rooms or smaller living spaces, its sleek design can also fit in with many styles of decor, a perfect choice for every home. ', "" 【Space Save】These folding tables set of 4 are very flexible.Each table can be folded flat for storage.You can fold it up and put it on the storage rack when you don't need it.""]",Set of Four Folding Trays With Matching Storage Rack.,"['Brand: JOIN IRON', 'Shape: Rectangular', 'Included Components: Hardware', 'Color: Grey Set of 4', 'Model Name: ICZDZ22916', 'Model Number: ICZDZ22916', 'Age Range (Description): Adult', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 3 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #1,685,657 in Home & Kitchen (See Top 100 in Home & Kitchen) #210 in TV Trays', 'Style: X Classic Style', 'Table design: Tray Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Recommended Uses For Product: Dining, Snacking', 'Product Dimensions: 18.9""D x 14.2""W x 26""H', 'Item Width: 14.2 inches', 'Size: 26"" H x 18.9"" W x 14.2"" D', 'Item Weight: 26.8 Pounds', 'Number of Items: 1', 'Unit Count: 1.0 Count', 'Frame Material: Iron', 'Top Material Type: Iron', 'Is Stain Resistant: No', 'Special Feature: Folding', 'Is Foldable: Yes', 'Base Type: X', 'Indoor/Outdoor Usage: Indoor']",bdc9aa30-9439-50dc-8e89-213ea211d66a,2024-02-02 15:15:11 +B0C9WYYFLB,https://www.amazon.com/dp/B0C9WYYFLB,"LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Storage Cabinet with 3-Drawers on The Left, Suitable for Bathrooms, Kitchens, Laundry Rooms and Other Places.",LOVMOR,,Only 5 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Bathroom Furniture', 'Bathroom Sets']",https://m.media-amazon.com/images/I/41zMuj2wvvL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41zMuj2wvvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41h0FQWG5IL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41thgR6LltL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41oC3JqceaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5114WNPHqLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51srjcedjJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41+zRuSrmkL._SS522_.jpg']",,,Bathroom vanity,"21""D x 30""W x 34.5""H","July 1, 2023",Vietnam,Cameo Scotch,Wood,"Soft-closing Switch, Soft-closing Switch",[],,"['Durable & Lightweight Construction: Our bathroom sink base cabinets are crafted from plywood and high-quality HDF density fiberboard, providing a sturdy, lightweight design that resists cracking, warping, and moisture for long-lasting use. ', ' Adjustable storage space: Our bathroom storage cabinets do not include shelves, the interior of the bathroom cabinets are left with screw holes where shelves can be installed, with 2-3 positions for DIY accessories. (Note: Depending on the width of the cabinet, some drawers are only used as decoration!) ', ' ADVANCED SOFT CLOSING DESIGN: This sink storage cabinet has a soft closing design for the cabinet door. Any quick closing of the cabinet door is able to close quietly and smoothly without making any noise. ', ' High quality finish: The surface paint of this bathroom cabinet uses a spray painting process, which is comfortable to touch and looks very beautiful. Moreover, the paint with strong stain resistance makes cleaning very easy and can be cleaned up with just a light wipe with a damp cloth. ', ' MULTI-PURPOSE, EASY ASSEMBLY: Our bathroom sink base cabinets do not come with a sink suitable for bathrooms, laundry rooms, kitchens and more. Our kitchen sink base cabinets require assembly, and the package includes all necessary accessories and hardware, plus our detailed instructions for quick and easy assembly.']","Our versatile bathroom sink base cabinet is perfect for adding style and function to your home. It's made from high-quality materials that are lightweight, durable and resistant to moisture. The spray paint ensures a long-lasting, smooth appearance. With adjustable shelves and soft-close doors, this cabinet offers flexible storage options while being easy to maintain. Ideal for bathrooms, kitchens or other spaces, your mood will be happier as you transform your living area into an organized, clutter-free environment. Don't wait any longer, it's time to get a new set of cabinets for your home!","['Brand: LOVMOR', 'Color: Cameo Scotch', 'Recommended Uses For Product: Undersink', 'Product Dimensions: 21""D x 30""W x 34.5""H', 'Special Feature: Bagless', 'Mounting Type: Floor Mount', 'Room Type: Bathroom', 'Door Style: Soft-closing Switch, Soft-closing Switch', 'Included Components: Cover', 'Finish Type: Painted', ""Size: 30''W+Left"", 'Shape: Rectangular', 'Item Weight: 77 Pounds', 'Base Type: Pedestal', 'Installation Type: Freestanding', 'Back Material Type: Engineered Wood', 'Assembly Required: Yes', 'Frame Material: Wood', 'Item Weight: 77 pounds', 'Country of Origin: Vietnam', 'Item model number: Bathroom vanity', 'ASIN: B0C9WYYFLB', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 4 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #5,572,904 in Home & Kitchen (See Top 100 in Home & Kitchen) #284 in Bathroom Furniture Sets', 'Date First Available: July 1, 2023']",20da3703-26f1-53e5-aa0b-a8104527d1bb,2024-02-02 15:15:11 +B09NZY3R1T,https://www.amazon.com/dp/B09NZY3R1T,"Folews Bathroom Organizer Over The Toilet Storage, 4-Tier Bathroom Shelves Over Toilet Shelf Above Toilet Storage Rack Freestanding Bathroom Space Saver Adjustable Shelves and Baskets, Black",Folews Store,$63.99,In Stock,"['Home & Kitchen', 'Furniture', 'Bathroom Furniture', 'Over-the-Toilet Storage']",https://m.media-amazon.com/images/I/41ixgM73DgL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41ixgM73DgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41WLiP-jOaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41i3PONnKTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31U4qzySmeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51pJLCJgtZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51CkG4IzRnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71D2M6vIXAL.SS125_SS522_.jpg']",,Folews,Over the toilet shelf 4 tiers,"12.6""D x 25.2""W x 68.5""H","December 22, 2021",China,,,Classic,[],,"['4 Tier Large Capacity: The 4-tier design of our over toilet storage maximizes the vertical space of a limited bathroom, providing efficient storage for bathroom essentials, while the compact footprint ensures suitability for bathrooms of all sizes ', ' Stable Over Toilet Shelf: Thickened support poles, three stabilizer bars, and the bottom widening anti-tilt design make the over-toilet-storage more stable and durable. Suitable for bathrooms, laundry rooms, balconies, porches, and so on ', ' Easy To Install: There are no tools required to assemble, just joint clips and screw threads! And this bathroom shelf over toilet comes with a detailed installation guide ', ' Durability and Quality: Built with a sturdy iron construction, our over toilet storage shelf ensures long-lasting durability, and the powder-coated black finish provides resistance against wear and tear, maintaining its quality over time ', ' Adjustable Toilet Rack: The order and spacing of shelves/baskets can be adjusted, and stabilizer bars are also fully adjustable, so it is suitable for toilets of various heights with or without a wall pipe ', ' Well-Considered Design: The over toilet storage shelf is designed for easy leveling on uneven floors with the leveling feet. Six hooks and one toilet paper holder bring you extra storage space. The 4 shelf liners prevent small objects from falling ', "" Worry-Free Customer Service: If anything is missing or there are any other issues with your over the toilet storage shelf, please get in touch and we'll provide a solution within 24 hours. We value every customer's shopping experience""]",,"['Room Type: Laundry Room, Bathroom, Bedroom, Living Room, Dining Room', 'Number of Shelves: two baskets and two open shelves', 'Special Feature: Durable, Adjustable', 'Product Dimensions: 12.6""D x 25.2""W x 68.5""H', 'Style: Classic', 'Age Range (Description): Adult', 'Finish Type: Painted', 'Brand: Folews', 'Product Care Instructions: Wipe with Dry Cloth', 'Size: 25.2 x 12.6 x 68.5 inches', 'Assembly Required: Yes', 'Recommended Uses For Product: Bathroom, Toilet', 'Number of Items: 1', 'Manufacturer: Folews', 'Model Name: Folews over toilet shelf', 'Item Weight: 18.3 Pounds', 'Furniture Finish: Black', 'Installation Type: Freestanding', 'Specific Uses For Product: Bathroom space saver over toilet', 'Product Name: 4-tier over the toilet storage', 'Item Weight: 18.3 pounds', 'ASIN: B09NZY3R1T', 'Country of Origin: China', 'Item model number: Over the toilet shelf 4 tiers', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 518 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #151,522 in Home & Kitchen (See Top 100 in Home & Kitchen) #114 in Over-the-Toilet Storage', 'Date First Available: December 22, 2021']",aba4138e-6401-52ca-a099-02e30b638db4,2024-02-02 15:15:12 +B0CJHKVG6P,https://www.amazon.com/dp/B0CJHKVG6P,"GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Metal Shoe Cap Rack With 8 Double Hooks For Living Room, Bathroom, Hallway",GOYMFK,$24.99,Only 13 left in stock - order soon.,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Free Standing Shoe Racks']",https://m.media-amazon.com/images/I/416WaLx10jL._SS522_.jpg,"['https://m.media-amazon.com/images/I/416WaLx10jL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41kuxipTsuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51T9x4yZd3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61w6ifIrCpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51bBQlUn8GL._SS522_.jpg']",,GOYMFK,TK019,"2.36""D x 7.87""W x 21.6""H","September 21, 2023",China,White,Metal,Modern,[],"[{'Brand': ' GOYMFK '}, {'Color': ' White '}, {'Material': ' Metal '}, {'Recommended Uses For Product': ' Coats, Umbrella, Hats, Shoes '}, {'Product Dimensions': ' 2.36""D x 7.87""W x 21.6""H '}]","['Multiple layers: Provides ample storage space for shoes, coats, hats, and other accessories ', ' Easy assembly: Requires no tools and can be assembled in minutes ', ' Versatile design: Suitable for various rooms in the home, such as the hallway, living room, or bathroom ', ' Sturdy and durable: Made of high-quality metal for long-lasting use ', ' Dimensions: 47.24 inches high x 11.81 inches wide x 13.78 inches deep']","multiple shoes, coats, hats, and other items Easy to assemble: Includes all necessary hardware and instructions for easy assembly Versatile: Perfect for use in living rooms, bathrooms, hallways, and more","['Brand: GOYMFK', 'Color: White', 'Material: Metal', 'Recommended Uses For Product: Coats, Umbrella, Hats, Shoes', 'Product Dimensions: 2.36""D x 7.87""W x 21.6""H', 'Installation Type: Free Standing', 'Special Feature: Stackable', 'Style: Modern', 'Finish Type: Coated', 'Load Capacity: 44.1 Pounds', 'Number of Shelves: 5', 'Furniture Finish: Metal', 'Frame Material: Metal', 'Assembly Required: Yes', 'Maximum Weight Recommendation: 20 Kilograms', 'Manufacturer: GOYMFK', 'Part Number: TK019', 'Item Weight: 2.7 pounds', 'Country of Origin: China', 'Item model number: TK019', 'Finish: Coated', 'Special Features: Stackable', 'Included Components: 1 x Assembly instructions', 'Batteries Included?: No', 'Batteries Required?: No', 'Warranty Description: 1 year', 'ASIN: B0CJHKVG6P', 'Customer Reviews: 1.0 1.0 out of 5 stars \n 1 rating \n\n\n 1.0 out of 5 stars', 'Best Sellers Rank: #569,353 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,051 in Free Standing Shoe Racks', 'Date First Available: September 21, 2023']",02593e81-5c09-5069-8516-b0b29f439ded,2024-02-02 18:53:22 +B0B66QHB23,https://www.amazon.com/dp/B0B66QHB23,"subrtex Leather ding Room, Dining Chairs Set of 2, Black",subrtex,,,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/31SejUEWY7L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31SejUEWY7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mr+A9JmbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41JjrWgA0XL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ie5FbnfkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41EDoJzFehL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31RijT4dnfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71hWfuIyNPL.SS125_SS522_.jpg']",,Subrtex Houseware INC,VCZYSBTPZCY04,"18.5""D x 16""W x 35""H","July 10, 2022",,Black,Sponge,Black Rubber Wood,[],,"['【Easy Assembly】: Set of 2 dining room chairs. To make it easier for you to install our chairs, we have included tools and instructions in the package and added an installation video to the webpage. It will make the whole installation process easier and quicker(Estimated time 10-20 minutes). ', ' 【Waterproof Leather Fabric】: subrtex upholstered dinging room chair is made of premium pu leather, waterproof, breathable, skin-friendly and easy to clean when it gets water or dirty. ', ' 【Black Rubber Wood Legs】: Hold up to 265 LBS. Anti-slip padded feet design that can prevent the floor from scratching. Tips: The solid wooden legs can not be replaced individually, if you encounter problems with the legs, you can contact us to replace a new dining chair. ', ' 【Ergonomic Backrest Design】: Ergonomically designed chair back, effectively protecting your waist and back.sitting for a long time without fatigue. The simple backrest decoration fits perfectly into any kitchen, dining room decor. ', ' 【Customer Services】: One year warranty, if you have any quality or installation problems with the components of this dining room chair you can contact us, we will definitely give you a satisfactory solution, it will be a good choice!']",subrtex Dining chairs Set of 2,"['Brand: subrtex', 'Color: Black', 'Product Dimensions: 18.5""D x 16""W x 35""H', 'Size: Dining Chairs set of 2', 'Back Style: Solid Back', 'Special Feature: Ergonomic', 'Product Care Instructions: Dry Clean, Wipe Clean', 'Unit Count: 2.0 Count', 'Recommended Uses For Product: Dining,Living Room', 'Maximum Weight Recommendation: 265 Pounds', 'Style: Dining Chairs', 'Pattern: Solid', 'Room Type: Kitchen, Living Room, Dining Room', 'Age Range (Description): Teen', 'Included Components: dining room chairs set of 2', 'Shape: Rectangular', 'Model Name: leather dining chairs', 'Cartoon Character: Waterproof', 'Surface Recommendation: Hard Floor', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Upholstered', 'Furniture Finish: Leather', 'Fill Material: Sponge', 'Cushion Style: Upholstered', 'Leg Style: Black Rubber Wood', 'Item Weight: 25.4 pounds', 'Manufacturer: Subrtex Houseware INC', 'ASIN: B0B66QHB23', 'Item model number: VCZYSBTPZCY04', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 14 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #2,872,859 in Home & Kitchen (See Top 100 in Home & Kitchen) #4,615 in Kitchen & Dining Room Chairs', 'Date First Available: July 10, 2022']",5938d217-b8c5-5d3e-b1cf-e28e340f292e,2024-02-02 18:53:22 +B0BXRTWLYK,https://www.amazon.com/dp/B0BXRTWLYK,"Plant Repotting Mat MUYETOL Waterproof Transplanting Mat Indoor 26.8"" x 26.8"" Portable Square Foldable Easy to Clean Gardening Work Mat Soil Changing Mat Succulent Plant Transplanting Mat Garden Gifts",MUYETOL,$5.98,In Stock,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/41RgefVq70L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41RgefVq70L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414SPEuzxlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gknsPKCHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51mcO9+8GLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51BbYwggQSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51tkCe9KQzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71EIk5N4xcL.SS125_SS522_.jpg']",,MUYETOL,htdz-2038,"26.8""L x 26.8""W",,,Green,Polyethylene,Modern,[],"[{'Brand': ' MUYETOL '}, {'Size': ' 26.8*26.8 '}, {'Item Weight': ' 0.08 Kilograms '}, {'Pile Height': ' High Pile '}, {'Back Material Type': ' Polyethylene '}]","['PLANT REPOTTING MAT SIZE: 26.8"" x 26.8"", square, foldable, easy to carry. Good size perfectly suited for daily gardening needs. ', ' TRANSPLANTING MAT MATERIAL: High quality thick PE material, light texture and no odor. Double waterproof coating and very wear-resistant can be reused. A pair of buttons at each corner, if you button up it, the mat will turns into a square tray with sides, Keep soil and water from spilling. ', ' SOIL CHANGING MAT USES: This Gardening mat is perfect for indoor outdoor patio and lawn use for pot transplanting, soil changing, loosening, pruning, watering, fertilizing, transplanting, hydroponics, changing pots, clean up your vases, artwork etc, While controlling dirt and keeping it tidy. ', ' EASY TO CLEAN & STORE: Rinse with water or wipe clean with a damp paper towel or cloth. Easily folded, folded size 7"" x 7"" x 0.5"" or smaller, Takes up little space so it\'s easy to carry and store. ', ' GARDENING GIFT IDEAS: This foldable gardening mat can replace newspapers and cardboard boxes to make gardening easy fun and tidy, so this is a great gift for anyone who loves plants and gardening.']",,"['Brand: MUYETOL', 'Size: 26.8*26.8', 'Item Weight: 0.08 Kilograms', 'Pile Height: High Pile', 'Back Material Type: Polyethylene', 'Color: Green', 'Indoor/Outdoor Usage: Indoor', 'Theme: Garden,Plant,Succulent', 'Is Stain Resistant: No', 'Product Care Instructions: Hand Wash Only', 'Pattern: Solid', 'Shape: Rectangular', 'Special Feature: Waterproof', 'Product Dimensions: 26.8""L x 26.8""W', 'Style: Modern', 'Number of Pieces: 1', 'Item Weight: 2.89 ounces', 'Manufacturer: MUYETOL', 'ASIN: B0BXRTWLYK', 'Item model number: htdz-2038', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 107 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #19,814 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #272 in Outdoor Doormats', 'Antibacterial treatment: Buckle', 'Batteries required: No']",b2ede786-3f51-5a45-9a5b-bcf856958cd8,2024-02-02 18:53:23 +B0C1MRB2M8,https://www.amazon.com/dp/B0C1MRB2M8,"Pickleball Doormat, Welcome Doormat Absorbent Non-Slip Floor Mat Bathroom Mat 16x24",VEWETOL,$13.99,Only 10 left in stock - order soon.,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/61vz1IglerL._SS522_.jpg,"['https://m.media-amazon.com/images/I/61vz1IglerL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41KiuOZ9IlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61N7oADRxIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51P410C3CpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VZUO3bm3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61Gchr9jOHL._SS522_.jpg']",,Contrence,,"24""L x 16""W","April 6, 2023",,A5589,Rubber,Modern,[],"[{'Brand': ' VEWETOL '}, {'Size': ' 16*24INCH '}, {'Material': ' Polyester, Rubber '}, {'Pile Height': ' Low Pile '}, {'Back Material Type': ' Rubber '}]","['Specifications: 16x24 Inch ', "" High-Quality: Our mat's back are made of high quality rubber Material, Backed with a rubber non-slip, Made of high quality polyester. Perfect for both indoor and outdoor use. "", ' Easy to Wash: You Can be easily cleaned by shaking, can sweep with a broom, clean it with a hand-held vacuum. ', "" Decor Mat Use For Home: Have a wonderful begin in the kitchen/bathroom/indoor/floor mats/Living Room. Decor to your front door, home, lobby, farmhouse, office, patio, garage, bathroom, living spaces and many more common areas. As a gift for Valentine's Day, Christmas, Halloween,New Year, Birthday, all holiday and party gifts. "", ' Customer Service: We provide 100% 0 risk purchase, we promise the best service, if you have any question about our product, please contact us , we will reply by e-mail within 24 hours.']","The decorative doormat features a subtle textured surface that absorbs moisture and helps remove dirt and debris from your shoes.Molded from recycled rubber with a coarse polyester surface, this door mat offers added functionality for your entryways exposed to the elements.The low-profile height offers ideal functionality for high traffic areas and in entryways as it will not obstruct doors from opening or closing.Simply vacuum, shake out, or sweep off debris, spot clean with a solution of mild detergent and water. Do not bleach. Air dry. Dry flat.Greet your guests with this stylish and durable doormat. Perfect for any entryway in your home and Airbnb properties.We provide 100% 0 risk purchase, we promise the best service, if you have any question about our product, please contact us , we will reply by e-mail within 24 hours.","['Brand: VEWETOL', 'Size: 16*24INCH', 'Material: Polyester, Rubber', 'Pile Height: Low Pile', 'Back Material Type: Rubber', 'Color: A5589', 'Indoor/Outdoor Usage: Indoor', 'Is Stain Resistant: No', 'Product Care Instructions: Hand Wash Only', 'Pattern: Letter Print', 'Shape: Rectangular', 'Special Feature: Absorbent,Non-slip', 'Room Type: Bathroom', 'Product Dimensions: 24""L x 16""W', 'Rug Form Type: Doormat', 'Style: Modern', 'Item Weight: 3.36 ounces', 'Manufacturer: Contrence', 'ASIN: B0C1MRB2M8', 'Customer Reviews: 3.0 3.0 out of 5 stars \n 1 rating \n\n\n 3.0 out of 5 stars', 'Best Sellers Rank: #599,420 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #9,205 in Outdoor Doormats', 'Date First Available: April 6, 2023']",8fd9377b-cfa6-5f10-835c-6b8eca2816b5,2024-02-02 18:53:24 +B0CG1N9QRC,https://www.amazon.com/dp/B0CG1N9QRC,"JOIN IRON Foldable TV Trays for Eating Set of 4 with Stand,Folding TV/Snack Tray Table Set,Folding TV Dinner Tables for Small Space,(Grey)",JOIN IRON Store,$89.99,Usually ships within 5 to 6 weeks,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'TV Trays']",https://m.media-amazon.com/images/I/41p4d4VJnNL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41p4d4VJnNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nycdOa5kL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/416f7xG0D6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ayCcN+W7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51vzmAJZk8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ayCcN+W7L._SS522_.jpg']",,,,"18.9""D x 14.2""W x 26""H",,,Grey Set of 4,Iron,X Classic Style,[],,"['Includes 4 Folding Tv Tray Tables And one Coordinating Stand.TV Tray Table Set Measures: 26"" H x 18.9"" W x 14.2"" D, Coordinating Stand Set Measures: 34.4"" H x 10.5"" W x 10.2"" D,Desktop Material: Particleboard Wood; Support Material: Metal. ', ' 【X Classic Style】This elegant industrial-style TV tray combines an X-shaped base with industrial gray particleboard for a unique exquisite charm. Whether you want to match your home computer cabinet, coffee table or sofa, it will bring you convenience and speed. ', ' 【Multi-Occasion Use】Four folding tray tables can be used alone, or a combination of two tray tables, four tray tables can be used. Very suitable for a person in front of the TV to enjoy dinner or snacks, a few people outdoor picnic, etc., a variety of special occasions pull out to use. ', ' 【Versatile Use】This table not only provides ample room to keep things within reach but also works perfectly as a quick pop-up table to serve extra drinks and snacks. The perfect addition to dorm rooms or smaller living spaces, its sleek design can also fit in with many styles of decor, a perfect choice for every home. ', "" 【Space Save】These folding tables set of 4 are very flexible.Each table can be folded flat for storage.You can fold it up and put it on the storage rack when you don't need it.""]",Set of Four Folding Trays With Matching Storage Rack.,"['Brand: JOIN IRON', 'Shape: Rectangular', 'Included Components: Hardware', 'Color: Grey Set of 4', 'Model Name: ICZDZ22916', 'Model Number: ICZDZ22916', 'Age Range (Description): Adult', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 3 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #1,685,657 in Home & Kitchen (See Top 100 in Home & Kitchen) #210 in TV Trays', 'Style: X Classic Style', 'Table design: Tray Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Recommended Uses For Product: Dining, Snacking', 'Product Dimensions: 18.9""D x 14.2""W x 26""H', 'Item Width: 14.2 inches', 'Size: 26"" H x 18.9"" W x 14.2"" D', 'Item Weight: 26.8 Pounds', 'Number of Items: 1', 'Unit Count: 1.0 Count', 'Frame Material: Iron', 'Top Material Type: Iron', 'Is Stain Resistant: No', 'Special Feature: Folding', 'Is Foldable: Yes', 'Base Type: X', 'Indoor/Outdoor Usage: Indoor']",bdc9aa30-9439-50dc-8e89-213ea211d66a,2024-02-02 18:53:24 +B0C9WYYFLB,https://www.amazon.com/dp/B0C9WYYFLB,"LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Storage Cabinet with 3-Drawers on The Left, Suitable for Bathrooms, Kitchens, Laundry Rooms and Other Places.",LOVMOR,,Only 5 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Bathroom Furniture', 'Bathroom Sets']",https://m.media-amazon.com/images/I/41zMuj2wvvL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41zMuj2wvvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41h0FQWG5IL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41thgR6LltL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41oC3JqceaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5114WNPHqLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51srjcedjJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41+zRuSrmkL._SS522_.jpg']",,,Bathroom vanity,"21""D x 30""W x 34.5""H","July 1, 2023",Vietnam,Cameo Scotch,Wood,"Soft-closing Switch, Soft-closing Switch",[],,"['Durable & Lightweight Construction: Our bathroom sink base cabinets are crafted from plywood and high-quality HDF density fiberboard, providing a sturdy, lightweight design that resists cracking, warping, and moisture for long-lasting use. ', ' Adjustable storage space: Our bathroom storage cabinets do not include shelves, the interior of the bathroom cabinets are left with screw holes where shelves can be installed, with 2-3 positions for DIY accessories. (Note: Depending on the width of the cabinet, some drawers are only used as decoration!) ', ' ADVANCED SOFT CLOSING DESIGN: This sink storage cabinet has a soft closing design for the cabinet door. Any quick closing of the cabinet door is able to close quietly and smoothly without making any noise. ', ' High quality finish: The surface paint of this bathroom cabinet uses a spray painting process, which is comfortable to touch and looks very beautiful. Moreover, the paint with strong stain resistance makes cleaning very easy and can be cleaned up with just a light wipe with a damp cloth. ', ' MULTI-PURPOSE, EASY ASSEMBLY: Our bathroom sink base cabinets do not come with a sink suitable for bathrooms, laundry rooms, kitchens and more. Our kitchen sink base cabinets require assembly, and the package includes all necessary accessories and hardware, plus our detailed instructions for quick and easy assembly.']","Our versatile bathroom sink base cabinet is perfect for adding style and function to your home. It's made from high-quality materials that are lightweight, durable and resistant to moisture. The spray paint ensures a long-lasting, smooth appearance. With adjustable shelves and soft-close doors, this cabinet offers flexible storage options while being easy to maintain. Ideal for bathrooms, kitchens or other spaces, your mood will be happier as you transform your living area into an organized, clutter-free environment. Don't wait any longer, it's time to get a new set of cabinets for your home!","['Brand: LOVMOR', 'Color: Cameo Scotch', 'Recommended Uses For Product: Undersink', 'Product Dimensions: 21""D x 30""W x 34.5""H', 'Special Feature: Bagless', 'Mounting Type: Floor Mount', 'Room Type: Bathroom', 'Door Style: Soft-closing Switch, Soft-closing Switch', 'Included Components: Cover', 'Finish Type: Painted', ""Size: 30''W+Left"", 'Shape: Rectangular', 'Item Weight: 77 Pounds', 'Base Type: Pedestal', 'Installation Type: Freestanding', 'Back Material Type: Engineered Wood', 'Assembly Required: Yes', 'Frame Material: Wood', 'Item Weight: 77 pounds', 'Country of Origin: Vietnam', 'Item model number: Bathroom vanity', 'ASIN: B0C9WYYFLB', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 4 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #5,572,904 in Home & Kitchen (See Top 100 in Home & Kitchen) #284 in Bathroom Furniture Sets', 'Date First Available: July 1, 2023']",20da3703-26f1-53e5-aa0b-a8104527d1bb,2024-02-02 18:53:25 +B09NZY3R1T,https://www.amazon.com/dp/B09NZY3R1T,"Folews Bathroom Organizer Over The Toilet Storage, 4-Tier Bathroom Shelves Over Toilet Shelf Above Toilet Storage Rack Freestanding Bathroom Space Saver Adjustable Shelves and Baskets, Black",Folews Store,$63.99,In Stock,"['Home & Kitchen', 'Furniture', 'Bathroom Furniture', 'Over-the-Toilet Storage']",https://m.media-amazon.com/images/I/41ixgM73DgL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41ixgM73DgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41WLiP-jOaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41i3PONnKTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31U4qzySmeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51pJLCJgtZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51CkG4IzRnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71D2M6vIXAL.SS125_SS522_.jpg']",,Folews,Over the toilet shelf 4 tiers,"12.6""D x 25.2""W x 68.5""H","December 22, 2021",China,,,Classic,[],,"['4 Tier Large Capacity: The 4-tier design of our over toilet storage maximizes the vertical space of a limited bathroom, providing efficient storage for bathroom essentials, while the compact footprint ensures suitability for bathrooms of all sizes ', ' Stable Over Toilet Shelf: Thickened support poles, three stabilizer bars, and the bottom widening anti-tilt design make the over-toilet-storage more stable and durable. Suitable for bathrooms, laundry rooms, balconies, porches, and so on ', ' Easy To Install: There are no tools required to assemble, just joint clips and screw threads! And this bathroom shelf over toilet comes with a detailed installation guide ', ' Durability and Quality: Built with a sturdy iron construction, our over toilet storage shelf ensures long-lasting durability, and the powder-coated black finish provides resistance against wear and tear, maintaining its quality over time ', ' Adjustable Toilet Rack: The order and spacing of shelves/baskets can be adjusted, and stabilizer bars are also fully adjustable, so it is suitable for toilets of various heights with or without a wall pipe ', ' Well-Considered Design: The over toilet storage shelf is designed for easy leveling on uneven floors with the leveling feet. Six hooks and one toilet paper holder bring you extra storage space. The 4 shelf liners prevent small objects from falling ', "" Worry-Free Customer Service: If anything is missing or there are any other issues with your over the toilet storage shelf, please get in touch and we'll provide a solution within 24 hours. We value every customer's shopping experience""]",,"['Room Type: Laundry Room, Bathroom, Bedroom, Living Room, Dining Room', 'Number of Shelves: two baskets and two open shelves', 'Special Feature: Durable, Adjustable', 'Product Dimensions: 12.6""D x 25.2""W x 68.5""H', 'Style: Classic', 'Age Range (Description): Adult', 'Finish Type: Painted', 'Brand: Folews', 'Product Care Instructions: Wipe with Dry Cloth', 'Size: 25.2 x 12.6 x 68.5 inches', 'Assembly Required: Yes', 'Recommended Uses For Product: Bathroom, Toilet', 'Number of Items: 1', 'Manufacturer: Folews', 'Model Name: Folews over toilet shelf', 'Item Weight: 18.3 Pounds', 'Furniture Finish: Black', 'Installation Type: Freestanding', 'Specific Uses For Product: Bathroom space saver over toilet', 'Product Name: 4-tier over the toilet storage', 'Item Weight: 18.3 pounds', 'ASIN: B09NZY3R1T', 'Country of Origin: China', 'Item model number: Over the toilet shelf 4 tiers', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 518 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #151,522 in Home & Kitchen (See Top 100 in Home & Kitchen) #114 in Over-the-Toilet Storage', 'Date First Available: December 22, 2021']",aba4138e-6401-52ca-a099-02e30b638db4,2024-02-02 18:53:26 +B09PTXGFZD,https://www.amazon.com/dp/B09PTXGFZD,"Lerliuo Nightstand, Side Table, Industrial Bedside Table with 2 Drawers and Open Shelf, Grey Night Stand, End Table with Steel Frame for Bedroom, Dorm, Gray/Black 23.6''H",Lerliuo Store,$39.99,In Stock,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Nightstands']",https://m.media-amazon.com/images/I/41IzLmM91FL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41IzLmM91FL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51J83+zKGCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51W89bfhZgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51GOSVUqhwL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51I8IT3uVlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/519ySpbhZiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/81MKjKUvxhL.SS125_SS522_.jpg']",,,,"13.78""D x 17.72""W x 23.62""H",,,Grey,Stone,Classic,[],,"['Elegant Grey: This industrial modern style bedside table has unique rustic brown color and nice texture, modern matte black steel frame, round drawer handles. Place it in your house, it will decorate your home like an artwork. ', ' As Solid as a Rock: The nightstand is made of wood board which is environmentally friendly. It has a rectangular black metal frame, which can improve the stability and durability of the night stand. Product Size: 17.7L*13.7W*23.6in""H ', ' Spacious Storage Space: Lerliuo side table has two drawers and one open shelf. It can provide ample display space for all your hand side items. The first shelf can place printers, books, lamp, record players, etc, and 2 drawers of this table provide you with enough storage space to organize daily necessities, such as clothes, towels, underwear, socks, and more. ', ' Assembly is Easy for Everyone: Come with detailed instructions and clearly numbered parts, it is very easy to set up this sofa side table in just a few minutes. Please feel free to email us if you have any questions, we promise to solve your problems within 24 hours. ', "" Multi-functional End Table: This end table is perfect for living room, bedroom, study, baby's room, office, nursery, coffee shop, and anywhere you like.""]",,"['Brand: Lerliuo', 'Shape: Rectangular', 'Room Type: Bedroom, Living Room, Home Office', 'Color: Grey', 'Finish Type: wooden grain', 'Furniture Finish: Matte', 'Model Name: Lerliuo', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 590 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #159,666 in Home & Kitchen (See Top 100 in Home & Kitchen) #243 in Nightstands', 'Style: Classic', 'Table design: End Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Product Dimensions: 13.78""D x 17.72""W x 23.62""H', 'Item Width: 13.7 inches', 'Size: Large', 'Item Weight: 9.53 Kilograms', 'Maximum Weight Recommendation: 80 Pounds', 'Number of Items: 1', 'Number of Drawers: 2', 'Frame Material: Metal, Wood', 'Top Material Type: Stone', 'Special Feature: Storage', 'Base Type: Leg', 'Indoor/Outdoor Usage: Indoor']",fa87da9a-a8cf-51d7-895f-d64b75ee02a3,2024-02-02 18:53:27 +B002FL3LL2,https://www.amazon.com/dp/B002FL3LL2,Boss Office Products Any Task Mid-Back Task Chair with Loop Arms in Grey,Boss Office Products Store,,,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Chairs', 'Home Office Desk Chairs']",https://m.media-amazon.com/images/I/41rMElFrXBL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41rMElFrXBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41-yJNTT1FL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41KihITH3RL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41rsTeqjQzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/415MF2xZb5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/313Q3Psk1ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31nPgB9zy5L._SS522_.jpg']",,No,B1015-GY,"27""D x 26""W x 41""H",,,Grey,Foam,Loop Arms,[],,"['Mid-back styling with firm lumbar support; Elegant styling upholstered with commercial grade fabric ', ' Sculptured seat cushion made from molded foam that contours to the shape of your body ', ' Ratchet back height adjustment mechanism; Standard Loop Arms ', ' Large 27"" nylon base for greater stability; Pneumatic gas lift provides instant height adjustment of the seat ', ' Adjustable tilt tension; Hooded double wheel casters; Upright locking position']","Mid-back styling with firm lumbar support. Elegant styling upholstered with commercial grade fabric. Sculptured seat cushion made from molded foam that contours to the shape of your body. Ratchet back height adjustment mechanism which allows perfect positioning of the back cushion and lumbar support. Standard loop arms. Large 27"" nylon base for greater stability. Pneumatic gas lift provides instant height adjustment of the seat. Adjustable tilt tension that accommodates all different size users. Hooded double wheel casters. Upright locking position. Available in four fabric colors.","['Brand: Boss Office Products', 'Color: Grey', 'Product Dimensions: 27""D x 26""W x 41""H', 'Back Style: Solid Back', 'Special Feature: Adjustable', 'Product Care Instructions: Spot Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office', 'Style: Loop Arms', 'Pattern: Solid', 'Finish Type: Fabric', 'Room Type: Office', 'Age Range (Description): Adult', 'Included Components: Caster', 'Surface Recommendation: Indoor', 'Form Factor: Upholstered,Tilt', 'Seat Depth: 19 inches', 'Fill Material: Foam', 'Item Weight: 32 pounds', 'Manufacturer: Boss', 'ASIN: B002FL3LL2', 'Item model number: B1015-GY', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 83 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #574,738 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,254 in Home Office Desk Chairs', 'Is Discontinued By Manufacturer: No', 'Refill: Foam', 'Finish types: Fabric', 'Warranty Description: Limited 6 year parts warranty.', 'Batteries required: No', 'Import: Made in USA and Imported']",a0a69530-a944-589d-a036-90358cb9e485,2024-02-02 18:53:27 +B0B9PLM9P8,https://www.amazon.com/dp/B0B9PLM9P8,"Kingston Brass BA1752BB Heritage 18-Inch Towel-Bar, Brushed Brass",Kingston Brass Store,,Only 1 left in stock - order soon.,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/21opezr3bUL._SS522_.jpg,"['https://m.media-amazon.com/images/I/21opezr3bUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31HlJoUxwcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41POu+Y--iL._SS522_.jpg']",,Kingston Brass,BA1752BB,20.5 x 3.5 x 2.5 inches,"August 12, 2022",Taiwan,Brushed Brass,Brass,Traditional,[],[],"['18"" single towel bar ', ' High quality brass construction ', ' Designed to hold up to 20 lbs, when properly installed ', ' Coordinates perfectly with Heritage collection ', ' Wall mount, single bar design']","Hang your towels in style with the chic appeal of the Kingston Brass Heritage Towel Bar. Available in multiple finishes, this 18"" bar can quickly become an essential piece of your bathroom design. Pair with other accessories from the Heritage Collection.","['Manufacturer: Kingston Brass', 'Part Number: BA1752BB', 'Item Weight: 1.35 pounds', 'Product Dimensions: 20.5 x 3.5 x 2.5 inches', 'Country of Origin: Taiwan', 'Item model number: BA1752BB', 'Size: 20.5 x 3.5 x 2.5', 'Color: Brushed Brass', 'Style: Traditional', 'Finish: Brushed', 'Material: Brass', 'Shape: Straight', 'Installation Method: Wall Mount', 'Item Package Quantity: 1', 'Included Components: Towel Bar; Mounting Hardware', 'Batteries Required?: No', 'Warranty Description: 1 Year Limited Warranty', 'ASIN: B0B9PLM9P8', 'Best Sellers Rank: #1,057,464 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #3,982 in Bath Towel Bars', 'Date First Available: August 12, 2022']",cf4086a8-d611-56f1-ba50-4f2ac2670b42,2024-02-02 18:53:28 +B007E40Z5K,https://www.amazon.com/dp/B007E40Z5K,Chief Mfg.Swing-Arm Wall Mount Hardware Mount Black (TS218SU),Chief Store,$260.80,Only 1 left in stock - order soon.,"['Electronics', 'Television & Video', 'Accessories', 'TV Mounts, Stands & Turntables', 'TV Wall & Ceiling Mounts']",https://m.media-amazon.com/images/I/41HxUoRXloL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41HxUoRXloL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41O0tbqtVfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41apCz-5USL._SS522_.jpg']",,No,TS218SU,2 x 14 x 20 inches,"February 27, 2012",,Black,,,"['Visible screen diagonal: 26"" / 67 cm']","[{'Mounting Type': ' Wall Mount '}, {'Movement Type': ' Tilt '}, {'Brand': ' Chief Mfg. '}, {'TV Size': ' 47 Inches '}, {'Color': ' Black '}, {'Minimum Compatible Size': ' 26 Inches '}, {'Maximum Tilt Angle': ' 12 Degrees '}]","['Supports 26 to 47"" displays up to 75 lb. ', ' 100 x 100 to 400 x 400mm mount pattern ', ' Provides -12 to 0 degree tilt adjustment ', ' Provides up to 180 degree pivot adjustment ', ' Provides up to 1"" height adjustment']","The Chief TS218SU Thin stall Dual Swing-Arm Wall Mount is designed to mount flat-panel displays measuring 26 to 47"" with a maximum weight of 75 lb. Its distance from the wall can range from 1.5 to 18"" and it provides -12 to 0 Degree of tilt and up to 1"" of height adjustment. It can pivot up to 180 Degree depending on the width of your mounted display, and also offers post-installation leveling.","['Brand Name: Chief Mfg.', 'Item Weight: 1.98 pounds', 'Product Dimensions: 2 x 14 x 20 inches', 'Item model number: TS218SU', 'Is Discontinued By Manufacturer: No', 'Color Name: Black', 'Specification Met: certified frustration-free', 'Special Features: Swing-Arm Wall Mount', 'ASIN: B007E40Z5K', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 7 ratings \n\n\n 4.8 out of 5 stars', 'Best Sellers Rank: #4,987 in TV Wall & Ceiling Mounts #5,545 in Electronics Mounts #20,830 in Security & Surveillance Equipment', 'Date First Available: February 27, 2012']",4129440e-cfff-5498-b9d6-16ec18b0a285,2024-02-02 18:53:28 +B0BFJGDHVF,https://www.amazon.com/dp/B0BFJGDHVF,"DOMYDEVM Black End Table, Nightstand with Charging Station, Bedside Table with Drawer, Small Side Table with USB Ports and Outlets for Bedroom",DOMYDEVM Store,$46.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41YrmN-yOEL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41YrmN-yOEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ySXwNCU7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/418lxFzHARL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51HMXH0NWSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31diULoiHdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51O4kVaFcmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71rbaYe0wnL.SS125_SS522_.jpg']",,,,"11.81""D x 15.75""W x 23.62""H",,,Black,Metal,Modern,[],,"['Nightstand with Charging Station: Featured with 2 USB ports and 2 outlets with Cable Management 6.6ft long power supply cord on the tabletop. This small side table is an ideal setup for charging your phones, iPad and other devices. The handy reachable charging station solves the clutter of charging cables. ', ' Sturdy Construction: This black night stand consists of sturdy metal frames and MDF wood. The wood is a particle board finished in white, scratch-resistant and waterproof. The metal door and frames are made of high-quality metal with heavy endurance which provides great support to the bedside table with drawer, reinforcing its sturdiness and longevity. ', ' Large Capability: The wooden shelf for an open display on which you can place your decorative phone lamps, books etc.This bedroom nightstand includes a magic flip drawer that can hold your magazines, boxes and general living room knick-knacks. It is designed with a unique black metal mesh door that makes it mystical and more convenient. ', ' Perfect Size: The end table is designed in a proper size, which is a neat fit for everyone. You can put it in your living room or small space beside your bed. The compact size is much better for a single department so that you can take it as a meaningful gift for your family, parents, and friends. ', ' Customer Service: All necessary hardware & tools are included and all labeled parts, easy to assemble in 15 mins. And professional customer service will always be there no matter before or after sales. Any quality problems, just contact us, DOMYDEVM Store experienced customer service team will always be here.']",,"['Brand: DOMYDEVM', 'Shape: Square', 'Room Type: Bedroom, Living Room, Home Office, Playroom, Hallway', 'Included Components: End Table with Drawer, Nightstand with Charging Station', 'Color: Black', 'Furniture Finish: wood', 'Model Name: TPD-R854', 'Model Number: TPD-R854', 'Age Range (Description): s', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 330 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #201,616 in Home & Kitchen (See Top 100 in Home & Kitchen) #973 in End Tables', 'Special Feature: Storage, Space Saving, USB Port, Easy Assembly, Charging Station', 'Mounting Type: Floor Mount', 'Base Type: adjustable foot', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 11.81""D x 15.75""W x 23.62""H', 'Item Width: 29.98 centimeters', 'Size: 1 Pack', 'Item Weight: 10 Pounds', 'Number of Items: 1', 'Number of Drawers: 1', 'Unit Count: 1.0 Count', 'Frame Material: Metal', 'Top Material Type: Metal', 'Product Care Instructions: Wipe with Dry Cloth', 'Style: Modern', 'Table design: Nightstand', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly']",d553e7ea-4dce-5147-8534-3230f5e7848d,2024-02-02 18:53:29 +B00N2OZU42,https://www.amazon.com/dp/B00N2OZU42,"LASCO 35-5019 Hallmack Style 24-Inch Towel Bar Accessory, All Metal Construction, Chrome Plated Finish",LASCO,,Temporarily out of stock.,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/31rrpY5EJOL._SS522_.jpg,['https://m.media-amazon.com/images/I/31rrpY5EJOL._SS522_.jpg'],,LASCO,35-5025,1.5 x 3.25 x 26.25 inches,"August 7, 2014",China,Chrome,Metal,,[],"[{'Color': ' Chrome '}, {'Material': ' Metal '}, {'Finish Type': ' Chrome Plated '}, {'Brand': ' LASCO '}, {'Installation Type': ' Screw-In '}, {'Shape': ' Straight '}, {'Item Weight': ' 0.7 Pounds '}]","['24-inch towel bar set with brackets ', ' Chrome plated finish ', ' Includes hardware, mounting screws are concealed ', ' Easy to install bathroom accessory ', ' Solid metal construction ensures durability and reliability']","Product Description LASCO 35-5019 Hallmack Style 24-Inch Towel Bar Accessory, All Metal Construction, Chrome Plated Finish. This high quality, stylish and easy to install 24-inch towel bar bathroom accessory is constructed of solid metal and comes in a chrome plated finish. All hardware included. Mounting screws are concealed after installation for clean 'screw less' look! Larsen Supply is a third generation family owned and operated company with over 80 years of experience has the largest retail plumbing line in the industry today with over 7000 packaged and 16,000 bulk SKU's. We pride ourselves on service, selection and support. Please revert to retail place of purchase for resolution of any possible plumbing questions.. From the Manufacturer LASCO 35-5019 Hallmack Style 24-Inch Towel Bar Accessory, All Metal Construction, Chrome Plated Finish. This high quality, stylish and easy to install 24-inch towel bar bathroom accessory is constructed of solid metal and comes in a chrome plated finish. All hardware included. Mounting screws are concealed after installation for clean 'screw less' look! Larsen Supply is a third generation family owned and operated company with over 80 years of experience has the largest retail plumbing line in the industry today with over 7000 packaged and 16,000 bulk SKU's. We pride ourselves on service, selection and support! All Lasco merchandise is warranted to be free of manufacturing defects. Please revert to retail place of purchase for resolution of any possible plumbing questions, warranty or defective part replacement.","['Color: Chrome', 'Material: Metal', 'Finish Type: Chrome Plated', 'Brand: LASCO', 'Installation Type: Screw-In', 'Shape: Straight', 'Item Weight: 0.7 Pounds', 'Manufacturer: LASCO', 'Part Number: 35-5025', 'Item Weight: 11.2 ounces', 'Product Dimensions: 1.5 x 3.25 x 26.25 inches', 'Country of Origin: China', 'Item model number: 35-5025', 'Size: 24 Inch', 'Finish: Chrome Plated', 'Item Package Quantity: 1', 'Batteries Required?: No', 'Warranty Description: 1 Year Limited', 'ASIN: B00N2OZU42', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 7 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #1,429,309 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #5,378 in Bath Towel Bars', 'Date First Available: August 7, 2014']",7e2fae41-2f67-5363-a013-9a3854be6630,2024-02-02 18:53:30 +B093KMM9D3,https://www.amazon.com/dp/B093KMM9D3,"Table-Mate II PRO TV Tray Table - Folding Table with Cup Holder and Tablet Slot- Couch Desk for Working from Home, TV Trays for Eating, Portable and Adjustable TV Table, Slate Gray",Table-Mate Store,$53.99,,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Folding Tables & Chairs', 'Folding Tables']",https://m.media-amazon.com/images/I/31cbTc2VhaL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31cbTc2VhaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51iLRDni3SL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511IENAhEfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51CwGvaB36L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51lPfhecHFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/517NNSqzt8L._SS522_.jpg']",,Table-Mate,,"15""D x 21""W x 29""H","April 27, 2021",China,Slate Gray,,Cupholder+Tablet Slot+Side Storage,[],"[{'Brand': ' Table-Mate '}, {'Product Dimensions': ' 15""D x 21""W x 29""H '}, {'Color': ' Slate Gray '}, {'Special Feature': ' Adjustable,Lightweight,Portable,Removable,Sturdy '}, {'Style': ' Cupholder+Tablet Slot+Side Storage '}]","['STURDY DESIGN: Lightweight dinner tray is strong enough to hold up to 40 pounds, these folding tables can comfortably support your dinner plate or laptop. It even includes a built-in cup holder to prevent spills! Dimensions: 15""D x 21""W x 29.25""H ', ' ADJUSTABLE TABLE: Our foldable tray table is fully adjustable to 6 different heights and 3 different tilt angles. Set your food tray table to the perfect position and never strain or spill again! ', ' CONVENIENT: Our TV Trays include a tablet slot, an opening for cords, and a removable side tray for storage. Super convenient as a breakfast in bed tray, portable desk for dorm room, or couch tray for solitaire and puzzles. ', ' EASY TO ASSEMBLE: Simply slide the table surface to a horizontal position, and these TV trays are ready to go! When done, fold it down and stow away next to a chair, under the couch, or in the closet. ', ' VERSATILE: These tray tables make meals super convenient, and can also be used for reading, writing, living room crafting, entertaining with food, as a camping table, or as a laptop table for working from home!']",,"['Brand: Table-Mate', 'Product Dimensions: 15""D x 21""W x 29""H', 'Color: Slate Gray', 'Special Feature: Adjustable,Lightweight,Portable,Removable,Sturdy', 'Style: Cupholder+Tablet Slot+Side Storage', 'Age Range (Description): Adult', 'Assembly Required: No', 'Included Components: 15""D x 21""W x 29""H', 'Item Weight: 12.72 pounds', 'Manufacturer: Table-Mate', 'ASIN: B093KMM9D3', 'Country of Origin: China', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 4,317 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #46,851 in Home & Kitchen (See Top 100 in Home & Kitchen) #216 in Folding Tables', 'Date First Available: April 27, 2021']",6ed419d5-318a-5013-a0c4-d182d6ad6471,2024-02-02 18:53:30 +B0C7QD8KYX,https://www.amazon.com/dp/B0C7QD8KYX,EGFheal White Dress Up Storage,EGFheal,,In Stock,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Bedroom Armoires']",https://m.media-amazon.com/images/I/31l+OVMKBFL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31l+OVMKBFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/510aFU231KL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31hz-89KKNL._SS522_.jpg']",,EGFheal,White Dress Up Storage,32 x 19 x 45 inches,,China,,,,[],,"['100%wood ', "" Storage: The wardrobe features 3 storage shelves, 2 fabric storage bins, 2 deep bottom shelves, and 3 hooks on the sides, providing ample storage space for girls' dresses, bags, shoes, toys, and more. "", ' Mirror: The wardrobe includes a touch light mirror on the side, with 3 light modes and adjustable brightness. The mirror allows girls to dress up beautifully every day. ', ' Safety: The wardrobe is made of sturdy MDF with a round-edge design and non-toxic, odorless paint, making it safe for kids. The product has also passed ASTM and CPSIA safety tests. ', ' Safety: The wardrobe is made of sturdy MDF with a round-edge design and non-toxic, odorless paint, making it safe for kids. The product has also passed ASTM and CPSIA safety tests. ', ' Customer Service: The package includes detailed installation instructions, and if any problems arise during assembly or use, customers can contact the service team for assistance. The product also comes with a guarantee.']",White Dress Up Storage,"['Product Dimensions: 32 x 19 x 45 inches', 'Item Weight: 40 pounds', 'Country of Origin: China', 'ASIN: B0C7QD8KYX', 'Item model number: White Dress Up Storage', 'Best Sellers Rank: #1,195,824 in Home & Kitchen (See Top 100 in Home & Kitchen) #181 in Bedroom Armoires', 'Manufacturer: EGFheal']",17f320a4-fc0c-5bf3-969e-3e7823b85c57,2024-02-02 18:53:31 +B08Q5KDSQK,https://www.amazon.com/dp/B08Q5KDSQK,"Caroline's Treasures PPD3013JMAT Enchanted Garden Flowers Doormat 24x36 Front Door Mat Indoor Outdoor Rugs for Entryway, Non Slip Washable Low Pile, 24H X 36W",Caroline's Treasures Store,,In Stock,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51Zn-AivGrL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51Zn-AivGrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51KczSA8RxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51-LvXau6sL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51SsV7oKOHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Z8nxChtWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41dYQSczuqL._SS522_.jpg']",,Caroline's Treasures,PPD3013JMAT,"36""L x 24""W",,USA,Enchanted Garden Flowers,Rubber,Enchanted Garden Flowers,[],"[{'Brand': "" Caroline's Treasures ""}, {'Size': ' 24H x 36W '}, {'Material': ' Fabric '}, {'Weave Type': ' Needle Punched '}, {'Item Weight': ' 3.2 Pounds '}]","['100% Polyester ', ' Made In The USA ', ' Versatile & Stylish: Ideal as an indoor or outdoor mat, this 24x36 inch Artwork Door Mat enhances any entryway, porch, or outdoor kitchen with its unique design. Add a touch of style and functionality to your space. ', ' Durable & Weather Resistant: Crafted with layers of polyester felt and rubber, and bound by sturdy black tape, this mat stands up to all weather conditions. Its rubber-stamped bottom prevents slipping, ensuring safety and stability. ', ' Easy to Clean: Maintenance is a breeze - simply rinse with a garden hose or use a power washer to eliminate dirt. No suds-producing cleaners necessary. Alternatively, vacuum on floor setting for indoor cleaning. ', "" Quality Production: Proudly made and printed in the USA by Caroline's Treasures, our mat ensures high-quality design and durability. Its vibrant, dyed polyester felt top layer stays bright and eye-catching through use. "", ' Great gifts: Great hostess gifts, a housewarmning gift for that new home or a wedding gift for that new couple. All of our products feature artwork from one of our artists or desingers. A great gift for your dog walker, groomer, or pet sitter. Made in the USA']","Welcome your family and friends with this Artwork mat in full color. This action backed mat with hold up in almost any weather condition. This door mat measures about 24 inches by 36 inches and has a black binding tape to hold it's many layers together. The top layer is a polyester felt that is dyed with the image that you see on the mat. The next couple of layers give the mat stability and the bottom of the mat is rubber that has been stamped to help prevent slipping. To clean this mat, hose it off with a water hose or use a powerwasher. Do not use any cleaner that produces suds.","[""Brand: Caroline's Treasures"", 'Size: 24H x 36W', 'Material: Fabric', 'Weave Type: Needle Punched', 'Item Weight: 3.2 Pounds', 'Pile Height: Low Pile', 'Construction Type: Machine Made', 'Back Material Type: Rubber', 'Color: Enchanted Garden Flowers', 'Indoor/Outdoor Usage: Outdoor', 'Theme: Animals', 'Is Stain Resistant: Yes', 'Product Care Instructions: Hand Wash Only', 'Pattern: Enchanted Garden Flowers', 'Shape: Rectangular', 'Special Feature: Large Size, High Traffic, Non Slip, Exterior, Decorative', 'Room Type: Kitchen', 'Product Dimensions: 36""L x 24""W', 'Rug Form Type: Doormat', 'Style: Enchanted Garden Flowers', 'Number of Pieces: 1', 'Item Thickness: 0.25 Inches', 'Item Weight: 3.2 pounds', ""Manufacturer: Caroline's Treasures"", 'ASIN: B08Q5KDSQK', 'Country of Origin: USA', 'Item model number: PPD3013JMAT', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 6 ratings \n\n\n 4.8 out of 5 stars', 'Best Sellers Rank: #657,854 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #10,281 in Outdoor Doormats', 'Fabric Type: 100% Polyester', 'Tick-repellent material: Fabric', 'Finish types: Matte', 'Assembly required: No', 'Batteries required: No', 'Included Components: door mat', 'Import: Made In The USA']",8f491435-a1c3-5c48-ad17-b8ebfde82fe9,2024-02-02 18:53:32 +B098KNRNLQ,https://www.amazon.com/dp/B098KNRNLQ,"Leick Home 70007-WTGD Mixed Metal and Wood Stepped Tier Bookshelf, White Herringbone/Satin Gold",Leick Home Store,,Only 14 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Bookcases']",https://m.media-amazon.com/images/I/31XhtLE1F1L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31XhtLE1F1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31P5IpUuZpS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31+AyqdiGjS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31d0QTUZ5GL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41S76eNREIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Aq1cjlKkL.SS125_SS522_.jpg']",,"Leick Furniture, Incorporated",70007-WTGD,"12""D x 32""W x 30.5""H",,China,,,Bookshelf,[],,"['Wood ', ' Assembled Product Dimensions: 12 inches D X 32 inches W X 30.5 inches H ', ' L shaped shelves keep items from falling off shelf backs while also enhancing the overall stability ', ' Shelf height 11.25 inches ', ' Elegant white and satin gold finish ', ' Simple assembly in minutes']","Smooth, satin gold metal side supports are combined with herringbone textured white laminated shelf surfaces in this compact bookcase or hallstand. The perfect solution for small spaces in apartments, condos, or anywhere space is hard to come by. At only 12 inches deep, this space saver hugs the wall and stacks three layers of shelves in a beautiful stepped design. With simple assembly in just minutes, this sturdy, versatile and eye-catching bookshelf is at your service. Designed and manufactured by Leick Home, the trusted source for quality home furnishings for every taste and budget.","['Room Type: Bedroom', 'Number of Shelves: 3', 'Special Feature: Sturdy', 'Product Dimensions: 12""D x 32""W x 30.5""H', 'Style: Bookshelf', 'Age Range (Description): Adult', 'Finish Type: white', 'Brand: Leick Home', 'Product Care Instructions: Wipe with Dry Cloth', 'Assembly Required: Yes', 'Recommended Uses For Product: Living Room, Hallway', 'Number of Items: 1', 'Manufacturer: Leick Furniture, Incorporated', 'Included Components: Bookshelf', 'Model Name: 70007-WTGD Mixed Metal and Wood', 'Furniture Finish: White Herringbone/Satin Gold', 'Installation Type: Wall Mount', 'Unit Count: 1.0 Count', 'Item Weight: 30.9 pounds', 'ASIN: B098KNRNLQ', 'Country of Origin: China', 'Item model number: 70007-WTGD', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 5 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #2,297,193 in Home & Kitchen (See Top 100 in Home & Kitchen) #4,666 in Bookcases', 'Fabric Type: Wood', 'Maximum recommended load: 75 Pounds', 'Finish types: white', 'Number of pieces: 1', 'Warranty Description: 1-year limited warranty.', 'Batteries required: No']",7254e915-73f6-5992-b727-56ac68f60847,2024-02-02 18:53:33 +B07W8SF5CF,https://www.amazon.com/dp/B07W8SF5CF,"Caroline's Treasures CK3435MAT Bichon Frise Doormat 18x27 Front Door Mat Indoor Outdoor Rugs for Entryway, Non Slip Washable Low Pile, 18H X 27W",Caroline's Treasures Store,,In Stock,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51V1IWRrXHL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51V1IWRrXHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514YwvmLkpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51oPAizyXaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51kJA6JeRrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Z8nxChtWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/415ysOu4kdL._SS522_.jpg']",,Caroline's Treasures,CK3435MAT,"0.25""L x 18""W",,USA,Bichon Frise,Rubber,Bichon Frise,[],"[{'Brand': "" Caroline's Treasures ""}, {'Size': ' 18H X 27W '}, {'Material': ' Fabric '}, {'Weave Type': ' Needle Punched '}, {'Item Weight': ' 1.9 Pounds '}]","['100% Polyester ', ' Made In The USA ', ' Versatile & Stylish: Ideal as an indoor or outdoor mat, this 18x27 inch Artwork Door Mat enhances any entryway, porch, or outdoor kitchen with its unique design. Add a touch of style and functionality to your space. ', ' Durable & Weather Resistant: Crafted with layers of polyester felt and rubber, and bound by sturdy black tape, this mat stands up to all weather conditions. Its rubber-stamped bottom prevents slipping, ensuring safety and stability. ', ' Easy to Clean: Maintenance is a breeze - simply rinse with a garden hose or use a power washer to eliminate dirt. No suds-producing cleaners necessary. Alternatively, vacuum on floor setting for indoor cleaning. ', "" Quality Production: Proudly made and printed in the USA by Caroline's Treasures, our mat ensures high-quality design and durability. Its vibrant, dyed polyester felt top layer stays bright and eye-catching through use. "", ' Great gifts: Great hostess gifts, a housewarmning gift for that new home or a wedding gift for that new couple. All of our products feature artwork from one of our artists or desingers. A great gift for your dog walker, groomer, or pet sitter. Bichon Frise gifts, Bichon Frise collectibles, Bichon Frise Doormat , Bichon Frise']","Welcome your family and friends with this Artwork mat in full color. This action backed mat with hold up in almost any weather condition. This door mat measures about 18 inches by 27 inches and has a black binding tape to hold it's many layers together. The top layer is a polyester felt that is dyed with the image that you see on the mat. The next couple of layers give the mat stability and the bottom of the mat is rubber that has been stamped to help prevent slipping. To clean this mat, hose it off with a water hose or use a powerwasher. Do not use any cleaner that produces suds.","[""Brand: Caroline's Treasures"", 'Size: 18H X 27W', 'Material: Fabric', 'Weave Type: Needle Punched', 'Item Weight: 1.9 Pounds', 'Pile Height: Low Pile', 'Construction Type: Machine Made', 'Back Material Type: Rubber', 'Color: Bichon Frise', 'Indoor/Outdoor Usage: Outdoor', 'Theme: Animals', 'Is Stain Resistant: Yes', 'Product Care Instructions: Hand Wash Only', 'Pattern: Bichon Frise', 'Shape: Rectangular', 'Special Feature: Large Size, High Traffic, Non Slip, Exterior, Decorative', 'Room Type: Kitchen', 'Product Dimensions: 0.25""L x 18""W', 'Rug Form Type: Doormat', 'Style: Bichon Frise', 'Number of Pieces: 1', 'Item Thickness: 0.25 Inches', 'Item Weight: 1.9 pounds', ""Manufacturer: Caroline's Treasures"", 'ASIN: B07W8SF5CF', 'Country of Origin: USA', 'Item model number: CK3435MAT', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 2 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #1,048,992 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #18,299 in Outdoor Doormats', 'Fabric Type: 100% Polyester', 'Tick-repellent material: Fabric', 'Finish types: Matte', 'Assembly required: No', 'Batteries required: No', 'Included Components: door mat', 'Import: Made In The USA']",6b7557a1-43b8-5aec-9d97-582b567fee71,2024-02-02 18:53:34 +B07GBVFZ1Y,https://www.amazon.com/dp/B07GBVFZ1Y,"Wildkin Kids Canvas Sling Bookshelf with Storage for Boys and Girls, Wooden Design Features Four Shelves and Two Drawers, Helps Keep Bedrooms, Playrooms, and Classrooms Organized (Natural with Blue)",Wildkin Store,,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Bookcases, Cabinets & Shelves']",https://m.media-amazon.com/images/I/51-GsdoM+IS._SS522_.jpg,"['https://m.media-amazon.com/images/I/51-GsdoM+IS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31A+MlJNPPS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NN55v6ffS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41fFYNH5xvS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41NI9bTlL1S._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Ils5HEk7L.SS40_SS522_.jpg']",,Wildkin Toys,,"12""D x 24.4""W x 27.5""H",,,,"Engineered Wood, Polyester",Natural with Blue Canvas,[],,"['Polyester ', ' PROMOTES ORGANIZATION – Measuring 24.4 x 12 x 27.5 inches, Wildkin’s kids sling bookshelf with Storage is small enough to fit anywhere in your home, yet large enough to house all your favorite books, magazines, paintings, and more. An all-in-one piece bookshelf for kids that encourages young readers while promoting organization. Add Wildkin’s book shelf organizer for kids to any room to help children maintain and organize items in their play space. ', ' STORAGE GALORE – You won’t have to worry about running out of space with Wildkin’s kids book shelves and storage. Each book organizer for kids features four washable fabric sling shelves and two bottom pull out drawers, complete with handles. Your child will love that their bookshelf gives them a variety of storage options. The book display compact footprint and sleek, classic, wood design make the kids book shelf the perfect addition to a kids room and any room! ', ' DURABLE CONSTRUCTION WITH EASY ASSEMBLY – With children’s furniture items, longevity is key. That’s why we made our book display stand Sling Book Shelf with an ultra-durable Melamine Faced Chipboard and MDF board, complete with metal poles and sturdy panel. High-quality washable polyester fabric shelves make the perfect solution for avoiding book damage. Its quick, simple assembly makes it easy to switch things up if you need to move your kids book shelves and storage to a different room. ', ' CLASSROOM LEARNING WITH A CLASSIC LOOK – Wildkin’s kids sling bookshelf makes reading time easy! Classrooms and libraries are not the only places books belong. The sling bookcase for kids sleek and compact design will make you want to add a second or third piece to your home to meet all of your book storage needs. The convenient and easy design makes the kids sling bookshelf with storage the perfect gift for young readers in your life. ', ' PATTERN COORDINATES WITH OTHER WILDKIN FURNITURE – Make a theme out of it! Each sling bookshelf with storage bins was designed to coordinate with other Wildkin furniture. From Bench Seat, to Step Stool, to Modern Table and Chair, your child will love having their favorite mini bookshelf designs with them at home and on-the-go.']","Add Wildkin’s Sling Bookshelf with Storage to any room to help children of all ages maintain and organize items in their play space. The convenient and easy design makes this bookshelf the perfect gift for young readers in your life. Measuring 24.4 x 12 x 27.5 inches, Wildkin’s Sling Bookshelf with Storage is small enough to fit anywhere in your home, yet large enough to house all your favorite books, magazines, paintings, and more. Each bookshelf features five sling shelves and two bottom pull out drawers, complete with handles. Your child will love that their bookshelf gives them a variety of storage options. Each Sling Bookshelf with Storage is made from ultra-durable Melamine Faced Chipboard and MDF board, complete with metal poles. High-quality polyester fabric shelves and drawers make the Sling Bookshelf the perfect solution for avoiding book damage, while helping children to easily identify and access their favorite items. Classrooms and libraries are not the only places books belong. The Sling Bookshelf with Storage’s sleek and compact design will make you want to add a second or third piece to your home to meet all your book storage needs. The timeless design of Wildkin’s Sling Bookshelf with Storage makes it an ideal choice for organizing more than just books. This piece can be a home for anything from books and magazines to paintings and writings. The possibilities are endless! 90-day manufacturer's warranty against defects - normal wear-and-tear, and misuse excluded. Rigorously tested to ensure that all parts are lead-safe, bpa-free, phthalate-free, and conform to all rules and regulations set forth by the Consumer Products Safety Commission.","['Mounting Type: Floor Mount', 'Room Type: Classroom', 'Shelf Type: Metal', 'Number of Shelves: 4', 'Special Feature: Durable, Drawer', 'Recommended Uses For Product: Bedroom, Library, Playroom', 'Material: Engineered Wood, Polyester', 'Product Care Instructions: Wipe with Dry Cloth', 'Furniture Finish: Melamine', 'Product Dimensions: 12""D x 24.4""W x 27.5""H', 'Unit Count: 1.0 Count', 'Assembly Required: Yes', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 306 ratings \n\n\n 4.5 out of 5 stars', ""Best Sellers Rank: #1,207,192 in Home & Kitchen (See Top 100 in Home & Kitchen) #536 in Kids' Bookcases, Cabinets & Shelves"", 'Age Range (Description): Kid', 'Brand: Wildkin', 'Number of Items: 1', 'Manufacturer: Wildkin Toys', 'Included Components: Bookshelf', 'Model Name: Sling Bookshelf w/ Storage - Natural with Blue', 'Target Gender: Unisex', 'Model Number: B07GBVFZ1Y', 'Shape: Rectangular', 'Style: Natural with Blue Canvas']",4fdbca90-1957-5f1f-a306-4fb1e2ece45f,2024-02-02 18:53:35 +B09QZ3LYWB,https://www.amazon.com/dp/B09QZ3LYWB,Gbuzozie 38L Round Laundry Hamper Cute Mermaid Girl Storage Basket Waterproof Coating Organizer Bin For Nursery Clothes Toys,Gbuzozie,$18.99,Only 10 left in stock - order soon.,"['Baby Products', 'Nursery', 'Furniture', 'Storage & Organization', 'Hampers']",https://m.media-amazon.com/images/I/41hYmELREGL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41hYmELREGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VFJB73P8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31EVYkDak+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41kqUqbzHdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41sQFOkD1ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41LX+GGgsuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+mlUokV-L._SS522_.jpg']",,Gbuzozie,,"13.8""L x 13.8""W x 16.5""H","January 22, 2022",,Mermaid Girl,fabric,Fashion,[],"[{'Product Dimensions': ' 13.8""L x 13.8""W x 16.5""H '}, {'Brand': ' Gbuzozie '}, {'Color': ' Mermaid Girl '}, {'Material': ' fabric '}, {'Style': ' Fashion '}, {'Special Feature': ' Durable,Large Capacity,Lightweight,Waterproof '}, {'Shape': ' Round '}, {'Package Information': ' Basket '}, {'Included Components': ' Handle '}, {'Age Range (Description)': ' Adults '}]","['✔TWO SIZE FOR YOUR CHOICE: Small: 13.8\xa0X\xa013.8\xa0X\xa016.5 inches, approximately 38.1L capacity; Medium: 15.7\xa0X\xa015.7\xa0X\xa019.6 inches, approximately 62.8L capacity. ', ' ✔DURABLE & HIGH-QUALITY：The Laundry Hamper is made of lightweight and durable oxford fabric and waterproof Lining, which has a large capacity and can hold the clothing for the whole family. ', ' ✔DAILY ESSENTIALS：Laundry basket can be easily folded up to save space when not in use, ideal for college clothes, items, dorms, campers, apartments, hotel use, baby nurseries and utility room. ', ' ✔FREE STANDING DESIGN: There is PE support strip for better free standing. Two handles on both sides, comfortable and durable. ', ' ✔WIDELY USE: Perfect for kitchens, living rooms, bathrooms, closets, playrooms and cars. You can store clothes, toys, books, etc.']",,"['Product Dimensions: 13.8""L x 13.8""W x 16.5""H', 'Brand: Gbuzozie', 'Color: Mermaid Girl', 'Material: fabric', 'Style: Fashion', 'Special Feature: Durable,Large Capacity,Lightweight,Waterproof', 'Shape: Round', 'Package Information: Basket', 'Included Components: Handle', 'Age Range (Description): Adults', 'Size: 38L', 'Number of Pieces: 1', 'Number of Compartments: 1', 'Mounting Type: Floor Mount', 'Capacity: 38 Liters', 'Room Type: Bathrooms,Laundry,Living Rooms,Nursery,Utility', 'Manufacturer: Gbuzozie', 'Item Weight: 9.9 ounces', 'Item Package Quantity: 1', 'Cutting Diameter: 13.8 Inches', 'Special Features: Durable,Large Capacity,Lightweight,Waterproof', 'Batteries Included?: No', 'Batteries Required?: No', 'Assembled Diameter: 13.8 Inches', 'ASIN: B09QZ3LYWB', 'Customer Reviews: 3.9 3.9 out of 5 stars \n 20 ratings \n\n\n 3.9 out of 5 stars', 'Best Sellers Rank: #35,758 in Baby (See Top 100 in Baby) #121 in Nursery Hampers', 'Date First Available: January 22, 2022']",81c0bc61-6ec2-5484-8388-2c404f3dd8f7,2024-02-02 18:53:35 +B09T5T67VC,https://www.amazon.com/dp/B09T5T67VC,"Tiita Comfy Saucer Chair, Soft Faux Fur Oversized Folding Accent Chair, Lounge Lazy Chair for Kids Teens Adults, Metal Frame Moon Chair for Bedroom, Living Room, Dorm Rooms",Tiita Store,$79.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/41O7mY3lUvL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41O7mY3lUvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41SeqOInsyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51s2LL0DTML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414XCaSNIDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41+0p+K3rQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Z9c-u5SjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ENPkz2zPL.SS125_SS522_.jpg']",,Tiita,1,"21.6""D x 23.6""W x 31.5""H","February 23, 2022",China,Grey,pp cotton,Modern,[],,"[""Comfy Chair for Bedroom: Sitting in a comfortable saucer chair is most girls' childhood dream. Our chic saucer chair is designed to look like real animal fur but made completely out of polyester faux fur. Plus, Our saucer chair comes with a 3-year quality guarantee. If you have any product-related inquiries, please reach out to us, and we'll respond within 12 hours to assist you until the issue is resolved. "", ' Strong and High-quality Living Room Chairs: The moon saucer chair for bedroom is crafted with a strong steel frame and legs, it supports up to 330 lbs, safe sturdy and durable. The foot pads on the metal frame at the bottom of the chair not only prevent the lounge chair for bedroom from tilting and sliding, but also protect the floor from scratches. ', ' Lightweight and Folding Accent Chairs: This modern accent chair is light, easily portable. No assembly is required, just fold open and sit down to start using this aesthetic chair. When not in use, making it easy to hide this living room chair out of sight. This is ideal for small corners or bedrooms. ', ' Spacious Size of Oversized Moon Chair: 23.6”Length x 21.6”Width x 31.5"" Height. This size can easily accommodate an adult. It is big enough to have enough space to relax and stretch and enjoy full relaxation. ', ' Versatile Use of Comfy Lounge Chair: Add a fun, cozy touch to dorm rooms, lofts, reading nooks and more with this comfy seat. Also it can add special charm for your outdoor camping, hiking. The lounge chair isn’t just for adults to relax in - it’s great saucer chair for kids and teens. You can even put your pet on a chair to accompany you. In addition, you can also give it as a gift to your family or friends, Christmas gifts']",,"['Brand: Tiita', 'Color: Grey', 'Product Dimensions: 21.6""D x 23.6""W x 31.5""H', 'Size: square chair', 'Back Style: Solid Back', 'Special Feature: Foldable,Lightweight,Portable,Sturdy', 'Product Care Instructions: Wipe Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Reading, Relaxing, Living Room,Lounge', 'Maximum Weight Recommendation: 330 Pounds', 'Style: Modern', 'Pattern: Geometric', 'Room Type: Game Recreation Room, Bedroom, Living Room, dorm, Study Room', 'Age Range (Description): Adult', ""Theme: living room chair valentine's day gifts"", 'Shape: Square', 'Surface Recommendation: Hard Floor', 'Seat Back Interior Height: 31.5 Inches', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: square', 'Fill Material: pp cotton', 'Is Customizable: No', 'Is Foldable: Yes', 'Item Weight: 13 pounds', 'Manufacturer: Tiita', 'ASIN: B09T5T67VC', 'Country of Origin: China', 'Item model number: 1', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 310 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #64,118 in Home & Kitchen (See Top 100 in Home & Kitchen) #57 in Living Room Chairs', 'Date First Available: February 23, 2022']",d5a75f7b-b874-5757-9778-790a1f33be14,2024-02-02 18:53:36 +B0C99NS6CZ,https://www.amazon.com/dp/B0C99NS6CZ,"Summer Desk Decor,Welcome Summer Wood Block Sign Desk Decor,Rustic Summer Fruits and Popsicles Wooden Box Plaque Sign Desk Decor for Home Office Shelf Table Decorations",z-crange,$13.99,Only 15 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Desks']",https://m.media-amazon.com/images/I/51sai4l5ttL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51sai4l5ttL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/516siFpFIhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4168X67EeuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41caGwmuxBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41rqdWN4zSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41lUUB+cLJL._SS522_.jpg']",,z-crange,1,1.2 x 5 x 5 inches,,China,,,,[],"[{'Color': ' white '}, {'Brand': ' z-crange '}, {'Theme': ' Fruit '}, {'Product Dimensions': ' 5""L x 5""W '}, {'Shape': ' Rectangular '}]","['Decorations: Our wood Block sign adds a touch of charm to any occasions. The natural wood finish and inspiring lettering create a warm and inviting atmosphere, making it the perfect addition to your office or home. ', ' Material and Dimension: Approximately 5x5x1.18 inches.The compact size of the wood block sign makes it ideal for smaller desks or limited workspace. Each wood plaque sign is made of natural wood, which is a durable and long-lasting. ', ' Directions: The wood block desk sign comes with a freestanding design, allowing you to easily place it on any surface without the need for additional hardware or installation. ', ' Applications: The wood block box is not only suitable for workspace but can also be used as home decor. It adds a warm and welcoming touch to your office, living room, bedroom, or any other space where you want to infuse positivity and style. ', "" Perfect Gift: Our wood block desk decor makes a thoughtful and meaningful gift for coworkers, friends, or loved ones. Whether it's for a Christmas, thanksgiving, birthday, anniversary, valentines day, long distance friendship, graduation, housewarming, promotion or other special occasions, it's a gift that combines both style and inspiration.""]","Crafted from premium-quality wood, our desk decor showcases the natural grain and texture of the wood, adding a touch of warmth and sophistication to your desk or office setting. The smooth finish and sturdy construction ensure durability, making it a long-lasting and reliable desk accessory. Our wooden block box is a decorative accent that enhances the aesthetics of your workspace or home. The natural wood tones and minimalist design seamlessly blend with any decor style, adding a touch of sophistication and elegance to your desk. Our Wooden Block Box Desk Decor also makes a thoughtful gift for coworkers, friends, or loved ones. It's perfect for birthdays, holidays, or as a gesture of appreciation for someone's dedication to their workspace. Cleaning and maintenance are effortless with our wooden block box. Simply wipe it clean with a soft cloth to preserve its pristine appearance and keep it looking its best for years to come.","['Product Dimensions: 1.2 x 5 x 5 inches', 'Item Weight: 2.64 ounces', 'Manufacturer: z-crange', 'ASIN: B0C99NS6CZ', 'Country of Origin: China', 'Item model number: 1', 'Best Sellers Rank: #5,189,861 in Home & Kitchen (See Top 100 in Home & Kitchen) #14,220 in Home Office Desks']",02f8cd17-8c4f-5c32-acc0-4af9115c6c20,2024-02-02 18:53:37 +B0BWQ8M4Q3,https://www.amazon.com/dp/B0BWQ8M4Q3,"Homebeez 39.1"" Length Bedroom Storage Bench, End Bed Ottoman Bench with Golden Metal Legs, Dressing Chair for Entryway Living Room,Green",Homebeez Store,,Only 1 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Entryway Furniture', 'Storage Benches']",https://m.media-amazon.com/images/I/31eBuhJ0NDL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31eBuhJ0NDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/517bw6-aFZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31bj4zvq41L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Lt1Sj4TUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Jkd34EkTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/410gbnQqbrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A12mjWadixL.SS125_SS522_.jpg']",,HOMEBEEZ,KX0226-1,"39.1""D x 17.7""W x 19.4""H","February 24, 2023",China,Green,,Trumpet Leg,[],,"['Multifuction：This storage ottoman benches are the perfect accent for living rooms, bedrooms, vanity chairs, shoe benches, extra seating, and more! Style your home with an attractive upscale ottoman for a touch class ', ' Comfortable: Fabric cushioning provides a soft but supportive seat. Put your feet up on a cushion and descend into pure relaxation and comfort ', ' Stable and Durable: Gold metal legs are sturdy and durable to with stand full weight capacity. Simply screw metal legs into each corner of the bench with the provided screws and your bench is ready to enjoy ', ' Dimension and Assemble: Seat height: 19.4"", Seat Length x Width: 39.1"" x 17.7"",,Easy Assemble the ottoman bench with a simple tool ', ' 24 Hours Service:We have established a complete after-sales service system to provide our customers with fast, professional, accurate and enthusiastic technical supports and service']",,"['Product Dimensions: 39.1""D x 17.7""W x 19.4""H', 'Color: Green', 'Size: 1', 'Furniture Finish: wood', 'Seat Height: 19.4 Inches', 'Brand: Homebeez', 'Leg Style: Trumpet Leg', 'Product Care Instructions: Wipe with Dry Cloth', 'Maximum Weight Recommendation: 300 Pounds', 'Seating Capacity: 2', 'Item Weight: 21 pounds', 'Manufacturer: HOMEBEEZ', 'ASIN: B0BWQ8M4Q3', 'Country of Origin: China', 'Item model number: KX0226-1', 'Best Sellers Rank: #4,319,942 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,629 in Storage Benches', 'Date First Available: February 24, 2023']",04bc713c-9fe6-5c25-8ea3-4ddb44b06806,2024-02-02 18:53:37 +B01M3VT58B,https://www.amazon.com/dp/B01M3VT58B,"Flash Furniture Webb Commercial Grade 24"" Round Blue Metal Indoor-Outdoor Table",Flash Furniture Store,$140.00,Only 4 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Tables']",https://m.media-amazon.com/images/I/41IWb+KWq7L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41IWb+KWq7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41U+USKYYFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Jt9X3ZImL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,,,"24""D x 24""W x 29""H",,,Blue,Metal,Contemporary,[],,"['PRODUCT MEASUREMENTS: Overall Size: 24""W x 24""D x 29""H']","Create a chic dining space with this industrial style table. The colorful table will add a retro-modern look to your home or eatery. This highly versatile Cafe Table is ideal for use in bistros, taverns, bars and restaurants. You can mix and match this style table with any metal chair, even using different colors. A thick brace underneath the top adds extra stability. The legs have protective rubber feet that prevent damage to flooring. This all-weather use table is great for indoor and outdoor settings. For longevity, care should be taken to protect from long periods of wet weather. The possibilities are endless with the multitude of environments in which you can use this table, for both commercial and residential spaces.","['Brand: Flash Furniture', 'Shape: Round', 'Room Type: Breakroom/Cafeteria;Dining Room;Fellowship Hall;Kitchen;Patio', 'Included Components: Metal Colorful Restaurant Tables', 'Color: Blue', 'Finish Type: blue', 'Furniture Finish: Plastic', 'Model Name: Flash Furniture', 'Model Number: CH-51080-29-BL-GG', 'Age Range (Description): Adult', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 10 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #784,624 in Home & Kitchen (See Top 100 in Home & Kitchen) #580 in Kitchen & Dining Room Tables', 'Special Feature: Weather Resistant', 'Base Type: Leg', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Warranty Description: 5 years limited.', 'Product Dimensions: 24""D x 24""W x 29""H', 'Item Width: 24 inches', 'Tabletop Thickness: 1.25 Inches', 'Size: 24"" Round', 'Item Weight: 27 Pounds', 'Maximum Weight Recommendation: 300 Pounds', 'Number of Items: 1', 'Unit Count: 1.0 Count', 'Frame Material: Metal', 'Top Material Type: Metal', 'Product Care Instructions: WN-Water and neutral detergent', 'Style: Contemporary', 'Table design: Coffee Table', 'Pattern: Solid']",fb5af385-aee6-568c-a22f-e6b90ef92dac,2024-02-02 18:53:38 +B077ZDFXYK,https://www.amazon.com/dp/B077ZDFXYK,"Mellow 2 Inch Ventilated Memory Foam Mattress Topper, Soothing Lavender Infusion, CertiPUR-US Certified, Queen",Mellow Store,$69.99,In Stock,"['Home & Kitchen', 'Bedding', 'Mattress Pads & Toppers', 'Mattress Toppers']",https://m.media-amazon.com/images/I/418jBmKzSxL._SS522_.jpg,"['https://m.media-amazon.com/images/I/418jBmKzSxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41FqjIOqLnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41f7swzU+aL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51YQfINLcPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41WYYDLP0ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Xs4jy3KDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VwAXHvgLL._SS522_.jpg']",,No,BPP-MFT-2Q-L,79 x 59 x 2 inches,,China,,,,[],,"['Memory Foam ', ' 2"" Lavender ventilated memory foam topper adds comfort and more support to your current sleeping situation ', ' Body-conforming memory foam which provides incredible comfort throughout the body ', ' Responsive active suspension isolates motion so no disruption for your sleep partner ', ' Infused with Lavender, a natural relaxant known to improve sleep quality ', "" CertiPUR-US certified foams, 3-year manufacturer's warranty "", ' Product Note: Please allow 24 - 72 hours for your Mattress to regain its full shape. Any memory foam will expand faster in a warmer room. In cold temperature, at delivery, your mattress may take a bit longer to return to full sized from its compressed state.The expansion time of the mattress will vary as per the surrounding']","Best Price Mattress 2-Inch Lavender infused memory foam topper add more comfort to your current sleeping situation with a Best Price Mattress 2-inch Lavender infused memory foam topper. This latest trend in sleep innovation allows you to experience the advantages of memory foam without ""breaking the bank. "" the special ventilation design increases air flow and reduces trapped body heat while the memory foam reduces motion transfer between sleep partners for a better sleeping experience. In addition, the Lavender extract infused into the memory foam topper naturally releases Lavender scent for a relaxing therapeutic aroma to help experience a great night's sleep. Features: layers: 2 inch memory foam infused material: Lavender extract sizes: (inches) twin (39 x 75 x 3) twin XL (39 x 80 x 3) Full (54 x 75 x 3 ) short Queen (60 x 80 x 3) Queen (60 x 74 x 3) King (76 x 80 x 3) safety and performance: foam is CertiPUR-US certified for highest standards sleep in comfort: enjoy a good night’s sleep when you add this 2-inch mattress topper to your bed. Rest assured knowing your body will comfortably lay in the memory foam that will relieve pressure points on your body.","['Product Dimensions: 79 x 59 x 2 inches', 'Item Weight: 9.9 pounds', 'Manufacturer: Best Price Mattress', 'ASIN: B077ZDFXYK', 'Country of Origin: China', 'Item model number: BPP-MFT-2Q-L', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 6,097 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #44,949 in Home & Kitchen (See Top 100 in Home & Kitchen) #127 in Mattresses Toppers', 'Is Discontinued By Manufacturer: No', 'Fabric Type: Memory Foam', 'Refill: Memory Foam', 'Care instructions: Hand Wash Only', 'Number of pieces: 1', 'Warranty Description: 3 year manufacturer.', 'Batteries required: No', 'Included Components: Topper']",18789491-161e-51d1-86d9-3f0c04ee7237,2024-02-02 18:53:38 +B08RTLBD1T,https://www.amazon.com/dp/B08RTLBD1T,"CangLong Mid Century Modern Side Chair with Wood Legs for Kitchen, Living Dining Room, Set of 1, Black",CangLong Store,,In Stock,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/31wnzq-TwKL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31wnzq-TwKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Q2MMzsqzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Kd7NSurNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31yLSC0wZ+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41yeRiZshJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41+DlPVqAzL._SS522_.jpg']",,Kurado Home Limited,KU-191364,"22.1""D x 19""W x 32.65""H",,China,Black,,Modern,[],,"['DESIGN: Ergonomically and Modern Shaped & Comfortable Curved Seating (feel relax and confort when sitting on the chairs); set of 1 dining chairs (better for the gathering to dinner together); Color Black (easy to match the decoration of the different enviroment). ', ' MATERIALS: High-quality molded Plastic Cover with Soft Padded Seat and polypropylene backrest(better to support your weight and your back), Durable wooden legs(keep stable and firm) ', ' MULTIPURPOSE: Dining Black Chairs set of 1 are the best ideal to be used in dining room, kitchen room, open air balcony, restaurant as well as the dessert shop ', ' DIMENSION: Height of the chair 36.25 inches, Product Dimensions 22.1x19 inches.Maximum capacity: 120 KGS/265 LBS suitable for men, women and teens. ', ' Assembly required ', ' ASSEMBLE: Easy to assemble the dining black chairs(screws, pieces of chairs and manual are included in the package), If there is any question with the assemble, contact us without hesitation, we will provide online support at once.']","CangLong Mid Century Modern DSW Side Chair with Wood Legs for Kitchen, Living Dining Room, Set of 1, Black","['Brand: CangLong', 'Color: Black', 'Product Dimensions: 22.1""D x 19""W x 32.65""H', 'Size: Pack of 1', 'Back Style: Solid Back', 'Special Feature: PP cushion, Dining chair, set of 1, Wood legs, CangLong', 'Product Care Instructions: Wipe Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Dining', 'Maximum Weight Recommendation: 240 Pounds', 'Style: Modern', 'Pattern: Solid', 'Room Type: Kitchen, Dining Room', 'Age Range (Description): Adult', 'Included Components: 1 x Dining Chair', 'Shape: L-Shaped', 'Model Name: CangLong Mid Century Modern DSW Side Chair with Wood Legs', 'Surface Recommendation: Hard Floor', 'Seat Back Interior Height: 31.9 Inches', 'Furniture base movement: Glide', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Upholstered', 'Furniture Finish: Plastic', 'Seat Height: 18.11 Inches', 'Seat Depth: 16.34 inches', 'Item Weight: 9.61 pounds', 'Manufacturer: Kurado Home Limited', 'ASIN: B08RTLBD1T', 'Country of Origin: China', 'Item model number: KU-191364', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 3,052 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #67,445 in Home & Kitchen (See Top 100 in Home & Kitchen) #27 in Kitchen & Dining Room Chairs', 'Assembly required: Yes', 'Number of pieces: 1', 'Batteries required: No']",bef8d8d3-ca7a-5d47-8f1b-e7afe28a2f3b,2024-02-02 18:53:40 +B08N5H868H,https://www.amazon.com/dp/B08N5H868H,"HomePop Metal Accent Table Triangle Base Round Mirror Top, Black, 18.24D x 24W x 18H in",HomePop Store,,Only 3 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41cG70UIWTL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41cG70UIWTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cEP-yWFjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41uTtApCtZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21uU9kgWYML._SS522_.jpg']",,,,"18.24""D x 24""W x 18""H",,,Black,Glass,Modern,[],,"['Dimensions: 18 inches deep x 18 inches wide x 24 inches high ', ' Material: Metal, Glass ', ' Capacity: Supports up to 40 pounds ', ' Care and Cleaning: Spot or Wipe Clean ', ' Weight: 9.3 pounds']","With a black metal triangle base and round mirror top, this sleek accent table is a chic statement piece for the home. The geometric design of the base and the round clear top offers a minimalist look to this small metal accent table. At 24 inches tall, this small end table is the ideal size to be placed next to an accent chair, sofa, bedside, or in an entryway. In any space, this on-trend accent table is sure to catch the attention of your guests at your next cocktail party. Easy to assemble and maintain.","['Brand: HomePop', 'Shape: Round', 'Room Type: Living Room', 'Included Components: Metal Accent Table Triangle Base Round Mirror Top', 'Color: Black', 'Finish Type: Metal', 'Furniture Finish: Black', 'Model Name: Metal Accent Table', 'Model Number: K7243-J001', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 565 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #181,172 in Home & Kitchen (See Top 100 in Home & Kitchen) #749 in End Tables', 'Special Feature: 24 Inch Table Height, Triangular Black Metal Base, Round Glass Top', 'Mounting Type: Table Top', 'Base Type: Pedestal', 'Product Dimensions: 18.24""D x 24""W x 18""H', 'Item Width: 24 inches', 'Size: 18.24D x 24W x 18H in', 'Item Weight: 10.1 Pounds', 'Maximum recommended load: 40 Pounds', 'Number of Items: 1', 'Unit Count: 1.0 Count', 'Frame Material: metal, glass', 'Top Material Type: Glass', 'Style: Modern', 'Table design: End Table', 'Theme: geometric', 'Assembly required: No']",ed0012a9-6a2a-58be-9047-b29c5d8a4c76,2024-02-02 18:53:41 +B0C4PL1R3F,https://www.amazon.com/dp/B0C4PL1R3F,MAEPA RV Shoe Storage for Bedside - 8 Extra Large Pockets - Dark Grey Rv Shoe Organizer with RV Shoe Pockets - Hanging Bedside Storage for RV Camper Bed Length35.4inches/2.95ft(Dark Grey),MAEPA,$16.59,In Stock,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Over the Door Shoe Organizers']",https://m.media-amazon.com/images/I/31bcwiowcBL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31bcwiowcBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mPnEJxiOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gwtmMBZML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61A+3oaSIcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51dAd28F6TL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51QgiX20CfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51yyaiXCs4L._SS522_.jpg']",,MAEPA,SND—1,"0.2""D x 35.4""W x 11.5""H","May 1, 2023",China,Dark Gray,Oxford,,[],,"['【High-Quality Material】 Crafted from waterproof oxford fabric, this bedside organizer boasts excellent waterproof and wear-resistant properties. The fabric is lightweight, soft, and easy to clean. Functionality meets aesthetics, as it not only provides efficient organization but also adds a stylish touch to your space. ', "" 【Space Optimization】 Designed to be a space-saving solution, this organizer complements RV storage, toy organization, and cleaning supplies. Its versatile and innovative design transforms your wardrobe, ensuring your shoes are well-organized and within arm's reach. "", ' 【Horizontal Layout】 Unlike most hanging organizers, this shoe storage solution arranges all pockets horizontally, making it perfect for bedside hanging. It serves as an ideal caddy organizer and maximizes storage and organization, whether in a cozy apartment or spacious house. Elevate your closet organization with this must-have storage solution. ', ' 【Spacious Pockets】 With overall dimensions of 0.2""D x 35.4""W x 11.5""H, each pocket measures 4.5"" L x 3"" W x 9"" H, accommodating even size 13 men\'s shoes or women\'s shoe pairs with ease. Ideal for entryway shoe organization or closet storage, it\'s the perfect choice for sneaker storage. ', ' 【Commitment to Quality】 Free up valuable closet space with this bedroom closet shoe rack. Whether you have limited closet space or need convenient access to your shoes, this hanging shoe organizer is the solution. Suitable for various uses, from RV accessories to wall storage, toy organization, gardening benches, and shed walls. We stand by our commitment.']","Name: Rv Shoe Pockets 8 Pockets Hanging Bedside Storage OrganizerMaterial: Waterproof Oxford clothColor: GraySize: 0.2""D x 35.4""W x 11.5""HPockets: 8 pcsSingle pocket size: 4.5""L x 3""Wx9""HWeight: 0.45KGCondition: brand newWhen it comes to organization and storage, hanging closet organizers can truly maximize space. Everyone can now have their personalized shoe storage organizer, reducing clutter and promoting order.【Aesthetic Craft】1.The neutral gray shade of the shoe rack storage organizer seamlessly complements any decor style, blending harmoniously with your existing furniture and bedding choices.2. The camper shoe rack is an essential accessory for any shoe enthusiast, offering efficient organization and storage.【Say Goodbye to Mess】1.Hanging shoe pockets are made of high-quality materials and have ample storage capacity, making them the best choice for an efficient shoe storage solution. 2. If you're tired of tripping over your shoes or rummaging through your cluttered closet, consider trying this portable bedside shoe rack organizer and embrace a more organized and organized living space.","['Specific Uses For Product: Shoes', 'Material: Oxford', 'Special Feature: Waterproof', 'Color: Dark Gray', 'Brand: MAEPA', 'Product Dimensions: 0.2""D x 35.4""W x 11.5""H', 'Capacity: 80 Cubic Inches', 'Package Type: Fold', 'Maximum Weight Recommendation: 2.2 Pounds', 'Manufacturer: MAEPA', 'Part Number: TK001', 'Item Weight: 1.1 pounds', 'Country of Origin: China', 'Item model number: SND—1', 'Item Package Quantity: 1', 'Special Features: Waterproof', 'Included Components: One storage bag, 4 hooks', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B0C4PL1R3F', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 12 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #385,174 in Home & Kitchen (See Top 100 in Home & Kitchen) #122 in Over the Door Shoe Organizers', 'Date First Available: May 1, 2023']",88c36902-83c8-59f3-98ed-c298c37ff69b,2024-02-02 18:53:41 +B09PND1VQ5,https://www.amazon.com/dp/B09PND1VQ5,"NearMoon Hand Towel Holder/Towel Ring - Bathroom Towel Bar, Premium Thicken Space Aluminum Towel Rack Wall Towel Hanger, Contemporary Style Bath Hardware Accessories Wall Mounted (Gold)",NearMoon Store,$8.99,Only 2 left in stock - order soon.,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Rings']",https://m.media-amazon.com/images/I/51eswTC1ufL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51eswTC1ufL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41EpQKj4qmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41T3C5Rl7eL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41lvGR0XMAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31h5q5fMQ4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41StKdPp90L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/417zJrpx+2L.SS125_SS522_.jpg']",,NearMoon,,11 x 1.4 x 2.7 inches,"January 4, 2022",,,,,[],"[{'Color': ' Gold '}, {'Material': ' Stainless Steel, Aluminum '}, {'Finish Type': ' Gold,Matte '}, {'Brand': ' NearMoon '}, {'Installation Type': ' Screw-In '}, {'Shape': ' Round '}]","['THICKEN MATERIAL - Constructed of premium thicken matte black space aluminum with solid, durable and never rust. ', ' PRACTICAL AND SAFE - Hand towel holder with stainless steel knob at the bar end can easy to hold the towel and prevent it from falling off. It can be used for hanging small towel in bathroom. And it’s also suitable for hanging kitchen paper roll and rag in kitchen. ', ' MODERN AND LUXURY DESIGN - NearMoon wall mounted hand towel holder has a stylish and luxury style, which adds a sense of decoration and fashion to your house. ', ' EXQUISITE CRAFTSMANSHIP - Invisible screw design and seamlessly connected between the columns, which makes a high-end style. Gold surface treatment is built to resist daily scratches and corrosion. ', ' EASY INSTALLATION - We provide all the screw accessories and installation instructions manual required for installation in the package. If there are any problem, please feel free to contact us via email to get the installation video.']",,"['Product Dimensions: 11 x 1.4 x 2.7 inches', 'Item Weight: 8.8 ounces', 'Manufacturer: NearMoon', 'ASIN: B09PND1VQ5', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 103 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #391,353 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #512 in Bath Towel Rings', 'Date First Available: January 4, 2022']",2242a6b3-451f-51e4-8864-51f639adb13d,2024-02-02 18:53:42 +B0CHYDTQKN,https://www.amazon.com/dp/B0CHYDTQKN,"FLYJOE Narrow Side Table with PU Leather Magazine Holder Rustic Slim Little Thin Table for Living Room, Bedroom, Sofa, Set of 2, Black",FLYJOE,$49.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41Hsse9SYsL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Hsse9SYsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41wWdlTFntL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41viRF6qjdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41JyPPA8InL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41AEHqjD95L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51aUlgpdbGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+IuScDUbL._SS522_.jpg']",,,,"7""D x 16.25""W x 22.25""H",,,Black-set of 2,Engineered Wood,Country Rustic,[],,"['【Multiple Uses】Compact size, space-saving design crafted with a sturdy frame and durable P2 Particle board for long lasting，the small end table can be used as side table, end tables, snack tables, couch tables, drink tables, nightstands or bedside tables for living room, bedroom or home office. ', ' 【Improved Durability & Reliability】Constructed of heavy-duty metal frame and durable manufactured wood, this industrial narrow side table has long service life. The retro finish is scratch-resistant and wear-resistant, while can hold up to 60 lb. ', ' 【Side Table with Storage】Overall Dimension of this sofa side table is 16.25""W x 7""D x 22.25""H. This couch table with PU bag provides more space for the laptop, magazines, books, etc. ', ' 【Perfect for Any Small Space】 With 22.25 inch tall, this narrow sofa side table is suitable for any small space in your home. 4 Adjustable Feet add the extra stability to this snack table and prevent your floor from scratches ', ' 【Easy to Assemble】The side table comes with complete accessories and manual, you can assemble in 10 minutes. If you have any questions please feel free to contact us, we will reply you within 24H.']",,"['Brand: FLYJOE', 'Shape: Rectangular', 'Room Type: Garage, Living Room, Bedroom, Home Office, Hallway', 'Included Components: Assembly Guide', 'Color: Black-set of 2', 'Model Name: Particleboard', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 59 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #97,048 in Home & Kitchen (See Top 100 in Home & Kitchen) #371 in End Tables', 'Special Feature: Magazine Holder', 'Base Type: Legs', 'Product Dimensions: 7""D x 16.25""W x 22.25""H', 'Item Width: 16.25 inches', 'Maximum Weight Recommendation: 60 Pounds', 'Number of Shelves: 1', 'Frame Material: Metal', 'Top Material Type: Engineered Wood', 'Style: Country Rustic', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly']",7df6de67-891e-567d-b8a5-3d184440a707,2024-02-02 18:53:43 +B0B94T1TZ1,https://www.amazon.com/dp/B0B94T1TZ1,"HomePop Home Decor | K2380-YDQY-2 | Luxury Large Faux Leather Square Storage Ottoman | Ottoman with Storage for Living Room & Bedroom, Dark Brown",HomePop Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/416lZwKs-SL._SS522_.jpg,"['https://m.media-amazon.com/images/I/416lZwKs-SL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51orE46HmJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41SHhS2-8jL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41-rB6Ua4hL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51M01rFIBYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/412GvXgQQ+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41imEPeuQxL._SS522_.jpg']",,HomePop,K2380-YDQY-2-V,"28""D x 28""W x 15.75""H",,,Dark Gray,Engineered Wood,Modern,[],,"['100% Polyurethane ', ' OTTOMAN WITH STORAGE: Our Large Storage Ottoman is a stylish storage solution for pillows and blankets in any room of your home ', ' A great accompaniment to any living room or bedroom furniture ', "" STORAGE OTTOMAN: With it's rich Faux Leather our Square Ottoman with Storage can be used as a Coffee Table Ottoman "", ' Perfectly completed with tapered wood legs in a rosewood finish along with stitching details for added interest ', ' LARGE OTTOMAN WITH STORAGE: Weighing at 30.4lbs, our Ottoman with Storage for Living Room supports a capacity of up to 250lbs ', ' SQUARE STORAGE OTTOMAN CARE & CLEANING: Super easy to assemble and maintain ', ' Spot clean only ', ' LARGE SQUARE OTTOMAN DIMENSIONS: 15.75 inches high x 28 inches wide x 28 inches deep']","This large faux leather storage ottoman offers an easy and stylish storage solution for pillows, blankets, books or toys. The rich brown faux leather lupholstery on this square ottoman makes it suitable as a coffee table in a living room or family room, or as extra seating in a study. The hinged lid allows easy access to items nearby but out of view. With stitching details for added interest and tapered wood legs in a dark walnut finish, this large storage ottoman offers a stylish storage and seating solution for years to come. Easy to assemble and maintain.","['Product Dimensions: 28""D x 28""W x 15.75""H', 'Color: Dark Gray', 'Brand: HomePop', 'Fabric Type: 100% Polyurethane', 'Base Material: Wood', 'Frame Material: Engineered Wood', 'Seat Height: 15.75 Inches', 'Product Care Instructions: Wipe with Dry Cloth', 'Maximum Weight Recommendation: 250 Pounds', 'Assembly Required: Yes', 'Size: Large', 'Style: Modern', 'Storage Volume: 2.4 Cubic Feet', 'Item Weight: 30.4 pounds', 'Manufacturer: HomePop', 'ASIN: B0B94T1TZ1', 'Item model number: K2380-YDQY-2-V', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 2,058 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #50,980 in Home & Kitchen (See Top 100 in Home & Kitchen) #85 in Ottomans', 'Number of pieces: 1', 'Batteries required: No', 'Included Components: Storage Ottoman']",d0c0875d-f909-5c07-b093-9c45cd0af58a,2024-02-02 18:53:44 +B0CP45784G,https://www.amazon.com/dp/B0CP45784G,Moroccan Leather Pouf Ottoman for Living Room - Round Leather Ottoman Pouf Cover - Unstuffed Pouf Ottoman Leather Foot Stool - Moroccan Pouf Ottoman - Moroccan Ottoman Pouf Leather (Brown),The Moroccan Boho Store,$54.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/51UKACPPL9L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51UKACPPL9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/516ZrEY37rL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51dkbRKkBKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511O6n0dNXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51MyIc3w+3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51eaTxOjSoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61YoPt1CqsL.SS125_SS522_.jpg']",,The Moroccan Boho,LP1,"20""D x 20""W x 12""H","November 29, 2023",Morocco,Brown,Leather,"Modern, Boho, Chic",[],,"['BRING WARMTH AND COZINESS TO YOUR HOME WITH BOHO CHIC DECOR – add authenticity and charm to your home with these handmade Moroccan leather ottoman covers. It’s the ideal living room pouf to brighten your space. Can be used as extra seating, footstool, hassock or bohemian coffee table. ', ' 100% GENUINE LEATHER HANDMADE POUFS – Our poufs are handmade by the finest craftsmen in Morocco, with exceptional attention to stitching and embroidery details. Not only do they look good, but our premium quality poufs and ottomans last forever. ', ' 100% NATURAL AND SUSTAINABLY SOURCED – Thoroughly curated leather to remove the smell and resist water splashes. Non-toxic vegetable tanned, all natural premium dyes used in the fabrication process. ', ' FIND THE RIGHT COLOR FOR YOUR CUTE ROOM DECOR – Either go for our best-selling brown leather poufs or tan leather ottoman, or chose from our more original colors of boho ottomans to match the style of your home and create a truly original Boho style decor. ', ' SUPER EASY TO STUFF – With a zip at the bottom, you can easily fill your pouf in seconds with used linens and blankets, or bean bag filler. These pouf can double as storage ottoman for you guest sheets and blankets.']",,"['Product Dimensions: 20""D x 20""W x 12""H', 'Color: Brown', 'Brand: The Moroccan Boho', 'Fabric Type: 100% Genuine Leather', 'Base Material: Leather', 'Frame Material: Leather', 'Seat Height: 12 Inches', 'Product Care Instructions: Wipe with Dry Cloth', 'Assembly Required: No', 'Style: Modern, Boho, Chic', 'Item Weight: 2 pounds', 'Manufacturer: The Moroccan Boho', 'ASIN: B0CP45784G', 'Country of Origin: Morocco', 'Item model number: LP1', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 1 rating \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #751,210 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,118 in Ottomans', 'Date First Available: November 29, 2023']",48619980-0cdb-5056-8cb8-e36537a5e953,2024-02-02 18:53:44 +B0BC85H7Y7,https://www.amazon.com/dp/B0BC85H7Y7,"AnyDesign Christmas Welcome Doormat Decorative Xmas Holiday Front Floor Mat Indoor Outdoor Carpet Non-Slip Door Mat for Indoor Outdoor Home Office Kitchen Yard Garden Decoration, 17 x 29 Inch",AnyDesign,$16.99,In Stock,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51RpGVRAFcL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51RpGVRAFcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+61AJ+poL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5191V-BW3nL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51AWA4O19KL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ahO10rZ7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512rBWALiOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NVW5uVrxL._SS522_.jpg']",,AnyDesign,A0623,29 x 17 x 0.01 inches,"August 29, 2022",,,,,[],,"['FUNNY DESIGN: Our doormat takes linen as background, bordered with stripe, printed with the words of welcome, rustic and funny, which will create strong holiday atmosphere for your home. ', ' DURABLE MATERIAL: The doormat is made of good quality linen with rubber backing, exquisite and safe. It will keep the floor clean and reduce the possibility of falling. Notice: The doormat is rolled when packed, and it may uneven when you receive it, you can use a heavy object to press it, which will not affect normal use. ', "" LARGE SIZE: The doormat measures about 17 x 29 inch, appropriate size for both indoor and outdoor. Proper thickness that makes it won't get stuck by the door, and can be used for most places. "", ' WIDE APPLICATION: Our Christmas doormat can not only avoid dust, dirt, but also prevent moisture and water seeping into the floor, good-looking and practical. ', ' VARIOUS OCCASIONS: Perfect for both indoor and outdoor use, you can put them at the front door, kitchen, living room, bedroom, laundry room, bathroom, office, etc..']",,"['Product Dimensions: 29 x 17 x 0.01 inches', 'Item Weight: 1.3 pounds', 'Manufacturer: AnyDesign', 'ASIN: B0BC85H7Y7', 'Item model number: A0623', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 12 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #334,482 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #4,715 in Outdoor Doormats', 'Date First Available: August 29, 2022']",9e1f462e-0db8-510e-a561-be258e4f343e,2024-02-02 18:53:45 +B07X61R7N8,https://www.amazon.com/dp/B07X61R7N8,GXFC ZHAO Welcome Funny Door Mat Shoes and Bras Off Please Personalized Doormat with Anti-Slip Rubber Back (23.6 X 15.7 inch) Prank Gift Home Decor Area Rugs for The Entrance Way Indoor Novelty Mats,GXFC ZHAO Store,$24.88,Only 5 left in stock - order soon.,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51z8ko3rsiL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51z8ko3rsiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/510qZw7TjmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61jpP9G1PcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514iJC5pdXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514fd7RbzEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41R2rF2zdeL._SS522_.jpg']",,ZQH,,"23.6""L x 15.7""W",,,"Colorful,Funny,Novelty,Personalized",Rubber,Modern,[],"[{'Brand': ' GXFC ZHAO '}, {'Size': ' Onesize '}, {'Material': ' Rubber '}, {'Weave Type': ' Machine Made '}, {'Item Weight': ' 0.7 Pounds '}]","['Material: Colorful print Polyester fiber Top with Rubber ANTI-SLIP Back,SAFE FOR KIDS AND PETS.Really good to seize the floor and also durable. Super nice as home decor mat. ', ' Dimension:23.6""(L)x15.7""(W)x0.18thick(40cmx60cmx0.3cm).Thin doormat With the personalized design with famous quotes or funny picture .A good gift choice as a Prank Gift、Domestic Presents、Spoof Gift and Festival Gift. ', ' Function: Unique doormat can decor your house warm and individual one. Also can wipe dust and grime to keep house cleaning.This is also Machine Washable doormat can used as living room doormat、kitchen Mat、bath mat、entrance way indoor mat and balcony doormat. ', ' Decorative：With funny or famous life quotes and monogram letter and an eye-catching printing surface,make this mat suit for decor area.Decorate your house cool and individuality one.Also can be a Prank and Funny Gift. ', ' Customer Service: We provide 100% 0 risk purchase, we always try to create a perfect shopping environment, 0 risk purchase is available here, contact us if you have any question about ZQH MATS no matter before or after your purchase ! We will do our best to make you Satisfied,we will reply by e-mail within 24 hours.']","""★Home Decor Doormat with |ANTI-SLIP|Rubber Back. Colourful print on Non-woven Polyester fiber,【safe for kids and pets】 ★Dimension: 15.7""""(W)x23.6""""(L)(40cmx60cm) 0.12 inch thickness. This is a thin doormat with personalized design or popular quotes on it. Really good choice for Prank Gift、Festival Gift or Domestic Presents. ★【Advantage】This Machine Washable door mats is suitable for Entrance way indoor.Also can use as bedroom mat、bath mat、living room mat or a kitchen mats. Perfect fit for kids room mat、office mat and stairs. Safe for hardwood floors too.  ★【Customer service】:We always try to create a perfect shopping environment. 【0 risk purchase】 is available here, contact us if you have any question about ZQH MATS no matter before or after your purchase ! We will do our best to make you Satisfied. ★【Giving a perfect shopping experience is always our service purposes!】""","['Brand: GXFC ZHAO', 'Size: Onesize', 'Material: Rubber', 'Weave Type: Machine Made', 'Item Weight: 0.7 Pounds', 'Construction Type: Machine Made', 'Back Material Type: Rubber', 'Color: Shoes and Bras Off Please', 'Indoor/Outdoor Usage: Indoor', 'Theme: Colorful,Funny,Novelty,Personalized', 'Is Stain Resistant: Yes', 'Product Care Instructions: Machine Wash', 'Pattern: Letter Print', 'Shape: Novelty', 'Special Feature: Anti-slip', 'Room Type: Living Room', 'Product Dimensions: 23.6""L x 15.7""W', 'Rug Form Type: Doormat', 'Style: Modern', 'Number of Pieces: 1', 'Item Weight: 11.2 ounces', 'Manufacturer: ZQH', 'ASIN: B07X61R7N8', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 6 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #836,682 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #13,801 in Outdoor Doormats']",7304f972-08ff-5958-b95b-a71825a9d1f5,2024-02-02 18:53:45 +B09TKH23M1,https://www.amazon.com/dp/B09TKH23M1,"LEASYLIFE Black Metal Trash can,10L/2.6GAL,Open Top Wastebasket Bin,Garbage Can for Bathroom,Living Room,Office,Kitchen,Bedroom,Hotel (Black)",LEASYLIFE Store,$64.99,Only 20 left in stock - order soon.,"['Home & Kitchen', 'Storage & Organization', 'Trash, Recycling & Compost', 'Wastebaskets']",https://m.media-amazon.com/images/I/31NobyGCHQL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31NobyGCHQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41CQftYIYpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cngDqGO0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NRiMqbYDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41nSI+7xRqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41bxc9SrkDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/614sSzQMtNL._SS522_.jpg']",,,,,,,,,,[],"[{'Brand': ' LEASYLIFE '}, {'Capacity': ' 10 Liters '}, {'Color': ' black '}, {'Opening Mechanism': ' Open-Top '}, {'Material': ' Metal '}, {'Recommended Uses For Product': ' For indoor use only '}, {'Room Type': ' Living Room '}, {'Special Feature': ' Dual Compartment '}, {'Shape': ' Cylindrical '}, {'Finish Type': ' 拉丝 '}]","['1.METAL: Its inner cylinder is made of thickened plastic, waterproof and rust proof, and its outer cylinder is made of metal material, which has better quality ', ' 1.METAL: Its inner cylinder is made of thickened plastic, waterproof and rust proof, and its outer cylinder is made of metal material, which has better quality ', ' 3.WATERPROOF AND RUST PROOF:Both the inner and outer bins are waterproof and durable. ', ' 4.USED SPACE:The trash can can be used in the living room, the bedroom, can also be used in the kitchen. It is not only easy to use, but also has the function of decoration. ', ' 5.ADBANTAGE:This is a kind of indoor bucket different from ordinary trash can, whether it is of high quality material, or simple and generous appearance design, these will bring you a good experience ', "" 6.Seamless Process : This garbage can adopts a seamless segmentation process, so that the barrel body and the base can be seamlessly linked, the entire garbage can looks like a whole, very beautiful. It's more of an ornament in the house.Add a surprise to your Christmas. "", ' 7.SIZE : 8.5in dia and 13in tall']",,[],76b3e878-b8e1-5ad0-9de6-c212f189c81a,2024-02-02 18:53:45 +B0BW4WN2NL,https://www.amazon.com/dp/B0BW4WN2NL,"Solid Wood Wine Cabinet, bar Rack - Home Wood Furniture",Home Wood Furniture Store,$69.00,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Bars & Wine Cabinets', 'Bar Cabinets']",https://m.media-amazon.com/images/I/31vp24lBBwL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31vp24lBBwL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Gep54Qs3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41dhL5QkByL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31jG67jRf-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21tXnL3ZmqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41YK52t7KrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5182v1GsfsL._SS522_.jpg']",,Home Wood Furniture,,"16.5""D x 32.9""W x 42.9""H","March 1, 2023",,White/Pine Oak,Wood,wood,[],,"['100% Solid Wood ', ' Elegant and stylish bar with a functional and versatile design ', ' Made of high-quality, durable materials for long-lasting use ', ' Multiple shelves and compartments for ample storage space ', ' Versatile design that complements any decor style ', ' Easy to assemble with clear instructions and hardware included ', ' Premium quality']","Elevate your home bar with this Elegant and Stylish Bar. With its sleek design and ample storage space, this bar is the perfect addition to any home bar or dining room.","['Color: White/Pine Oak', 'Recommended Uses For Product: Indoor', 'Product Dimensions: 16.5""D x 32.9""W x 42.9""H', 'Special Feature: Easy Assembly', 'Mounting Type: Floor Mount', 'Room Type: Living Room', 'Door Style: wood', 'Weight Limit: 60 Pounds', 'Included Components: Fittings, Assembly guide', 'Finish Type: Waxed, Painted', 'Size: Medium', 'Shape: Rectangular', 'Number of Pieces: 1', 'Item Weight: 23.59 Kilograms', 'Base Type: Legs', 'Installation Type: Freestanding', 'Top Material Type: Wood', 'Handle Material: Wood', 'Back Material Type: Wood', 'Assembly Required: Yes', 'Frame Material: Wood', 'Item Weight: 51.9 pounds', 'Manufacturer: Home Wood Furniture', 'ASIN: B0BW4WN2NL', 'Customer Reviews: 3.8 3.8 out of 5 stars \n 3 ratings \n\n\n 3.8 out of 5 stars', 'Best Sellers Rank: #3,398,541 in Home & Kitchen (See Top 100 in Home & Kitchen) #422 in Bar Cabinets', 'Date First Available: March 1, 2023']",67a9650d-65a9-5baa-bac0-05675c468b0b,2024-02-02 18:53:46 +B0BVQSPCCF,https://www.amazon.com/dp/B0BVQSPCCF,"Black Leather Office Chair Mid Back Leather Desk Chair Modern Excutive Office Chair with Arms and Wheels for Home Office, by Artswish",Arts wish Store,$89.98,In Stock,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Chairs', 'Home Office Desk Chairs']",https://m.media-amazon.com/images/I/317sVlhzMLL._SS522_.jpg,"['https://m.media-amazon.com/images/I/317sVlhzMLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41RwkL3etHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51vExRM5VFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/417VVXKmGYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ZSutxWXSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41duYmO3w-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51mIScOYnAL.SS125_SS522_.jpg']",,Arts wish,Piano C004,"20.1""D x 20.5""W x 35""H","February 15, 2023",,Black,Sponge,With arms,[],,"['✅【Ergonomic Design for Health】The leather office chair backrest adopt s type segmented design, better fit and care for the health of your lumbar spine. At the same time, the tiltable design of the backrest can meet your work and rest needs at the same time. ', ' 🎵【Comfortable and Relax Even Sitting for a Long Time】Thickened sponge cushion of executive office chairs, using native sponge, soft and comfortable, strong resilience, help disperse the pressure on the buttocks. And add the padded headrest to protect the cervical spine. Making you feel comfortable even if sitting for hours. ', ' ✨【High-Quality Durable Leather Office Chair】 The black chair uses high-quality faux leather, soft and comfortable, which is wear-resistant and durable, with a longer service life. ', ' 🎁【Suitable for Multiple Scenarios 】Big and tall leather office chair gives you a better sitting experience. 3.8 inch adjustable height design and mid-century modern style, which is suitable for tables of different heights, and suitable for multiple Scenarios such as study room、office and bedroom. ', ' 🔧【Easy to Assembly & Worry-Free Warranty】In order to assemble a executive office chair as easily as possible, we provide very clear and detailed instructions, numbered parts, and all necessary tools in the package. And providing 30 days no reason to return the office chair to protect your rights.']",,"['Brand: Arts wish', 'Color: Black', 'Product Dimensions: 20.1""D x 20.5""W x 35""H', 'Back Style: Solid Back', 'Special Feature: Adjustable,Durable', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office', 'Maximum Weight Recommendation: 260 Pounds', 'Pattern: Solid', 'Finish Type: Nylon', 'Room Type: Home office, Office, Bedroom, Study room', 'Age Range (Description): Adult', 'Included Components: Caster', 'Model Name: Charles', 'Arm Style: With arms', 'Surface Recommendation: Hard Floor', 'Furniture base movement: Swivel', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Recliner', 'Furniture Finish: Faux leather', 'Seat Depth: 20.1 inches', 'Fill Material: Sponge', 'Tilting: Yes', 'Is Electric: No', 'Is Foldable: No', 'Item Weight: 27.1 pounds', 'Manufacturer: Arts wish', 'ASIN: B0BVQSPCCF', 'Item model number: Piano C004', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 34 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #264,736 in Home & Kitchen (See Top 100 in Home & Kitchen) #633 in Home Office Desk Chairs', 'Date First Available: February 15, 2023']",5de4c46a-0cec-5b22-9b2f-5ad97440513a,2024-02-02 18:53:47 +B08B45QFG7,https://www.amazon.com/dp/B08B45QFG7,"Convenience Concepts Tucson Flip Top End Table with Charging Station and Shelf, 23.75""L x 11.25""W x 24""H, Charcoal Gray/Black",Convenience Concepts Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41NVHRlEb2L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41NVHRlEb2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51cquLj2+bL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41LXNCz09uL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41wXNxF-0hL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51AJimLv5LL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/91m5eTGijmL.SS125_SS522_.png ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,,,"11.25""D x 23.75""W x 24""H",,,Charcoal Gray / Black,"Manufactured Wood,MDF",Modern,[],,"['COLLECTION PIECE: Introducing the Tucson Collection - Elevate your home décor with stylish and functional furniture pieces that are perfect for any home decor. ', ' MULTIPLE FINISHES: Choose from a variety of finishes to perfectly complement your farmhouse, modern or industrial styled home! ', ' SPACIOUS STORAGE: The flip-top reveals a convenient charging station as well as storage space for your remote controls or favorite book. A spacious bottom shelf offers additional space for your books, plants, and decorative items! ', ' VERSATILE: This beautiful piece looks great in the living room or office! ', ' QUALITY MATERIAL: Engineered from sturdy manufactured wood and carefully painted with non-lead-based paint, this table is built to last. ', ' EASY ASSEMBLY: This end table is easy to assemble with instructions provided, making it a hassle-free addition to your home. ', ' PERFECT SIZE: Perfectly sized to fit any room, this piece measures (L) 23.75 in. x (W) 11.25 in. x (H) 24 in. ', ' COLOR VARIATION: Please note that the color may vary slightly due to photography lighting or monitor display.']","Add functionality to your home with the Tucson Flip Top End Table with Charging Station by Convenience Concepts. Featuring a flip top that reveals a convenient charging station as well as storage space for your remote controls or favorite book. Charging station includes two standard outlets and two USB ports which can easily charge your phone, tablet and even your laptop. The cable management hole allows you to store multiple devices on the table without damaging cords. The power supply cord is 6 feet in length giving you the room you need to display your end table where you choose. Also includes a bottom shelf for additional storage or display.","['Brand: Convenience Concepts', 'Shape: Rectangular', 'Room Type: Office, Living Room', 'Included Components: Tucson Flip Top End Table with Charging Station with Shelf', 'Color: Charcoal Gray / Black', 'Finish Type: Painted', 'Furniture Finish: Black', 'Model Name: Tucson', 'Model Number: 161859CGYBL', 'Age Range (Description): Adult', 'Target Gender: Unisex', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 4,932 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #182,534 in Home & Kitchen (See Top 100 in Home & Kitchen) #762 in End Tables', 'Style: Modern', 'Table design: End Table', 'Pattern: Table', 'Assembly Required: Yes', 'Assembly Instructions: Full Assembly Needed,Avoid Power Tools', 'Warranty Type: Limited', 'Specific Uses For Product: Residential USe', 'Product Dimensions: 11.25""D x 23.75""W x 24""H', 'Item Width: 11.25 inches', 'Tabletop Thickness: 5.69 Inches', 'Size: 23.75""L x 11.25""W x 24""H', 'Item Weight: 20 Pounds', 'Maximum Weight Recommendation: 44 Pounds', 'Number of Items: 1', 'Number of Shelves: 1', 'Number of Drawers: 2', 'Unit Count: 1.0 Count', 'Base Material: Manufactured Wood,Particle Board/Chipboard', 'Frame Material: Engineered Wood', 'Top Material Type: Manufactured Wood,MDF', 'Special Feature: Flip Top', 'Is Foldable: No', 'Mounting Type: found in image', 'Base Type: Legs']",599c5d85-f15d-57ee-a301-30da352c2013,2024-02-02 18:53:48 +B0CMX4CMMS,https://www.amazon.com/dp/B0CMX4CMMS,"3-Tier Kitchen Storage Cart with Handle, Multifunction Utility Rolling Cart Kitchen Storage Organizer, Mobile Shelving Unit Cart with Lockable Wheels for Office, Living Room, Kitchen - Black",ZOEHROWS,$15.99,In Stock,"['Home & Kitchen', 'Furniture', 'Kitchen Furniture', 'Storage Islands & Carts', 'Storage Carts']",https://m.media-amazon.com/images/I/41yBXlrog-L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41yBXlrog-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/413zn+HBSPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/517DMti-Z7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51lsd4cVQLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41rjUnWn3PL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41yzpycUIgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41QWyh-DbTL._SS522_.jpg']",,ZOEHROWS,EHR-EDF445,"16""D x 11""W x 4""H","November 8, 2023",China,Black,Plastic,,[],"[{'Product Dimensions': ' 16""D x 11""W x 4""H '}, {'Brand': ' ZOEHROWS '}, {'Material': ' Plastic '}, {'Color': ' Black '}, {'Special Feature': ' Handle '}]","['Flexible Movement - The storage cart contains 2 handles and 4 wheels that can be rotated 360 degrees,Unlock it when you want to move it and lock it when you want to fix in one place can move and brake freely in any field. ', ' Easy Installation - The rolling cart installation is very simple, Just point the pipe at the hole and fit it in, no skill is required, and no screws or tools are needed. ', ' Multifunctional - The mesh can effectively drain and filter dust particles to help you reduce housework. It can keep vegetables and fruits fresh when you use it as a kitchen storage rack. ', ' Classification Use - This utility cart can be widely used in any situation, like kitchen, living room, bathroom,bedroom, storage room. the widened storage space can place vegetables, fruits, snacks, drinks, tools, art supplies, toys, baby products , kitchen supplies, toiletries, office supplies, etc. ', ' After receiving the product, please check the product first, If you have any problem, Please contact with us, we will give you a satisfactory solution within 24 hours']",,"['Product Dimensions: 16""D x 11""W x 4""H', 'Brand: ZOEHROWS', 'Material: Plastic', 'Color: Black', 'Special Feature: Handle', 'Recommended Uses For Product: Room', 'Assembly Required: No', 'Item Weight: 3.58 pounds', 'Manufacturer: ZOEHROWS', 'ASIN: B0CMX4CMMS', 'Country of Origin: China', 'Item model number: EHR-EDF445', 'Customer Reviews: 3.0 3.0 out of 5 stars \n 2 ratings \n\n\n 3.0 out of 5 stars', 'Best Sellers Rank: #64,810 in Home & Kitchen (See Top 100 in Home & Kitchen) #52 in Kitchen Storage Carts', 'Date First Available: November 8, 2023']",0c2914ea-b086-5108-9db0-43410a8eb5d0,2024-02-02 18:53:48 +B0C2YQZS69,https://www.amazon.com/dp/B0C2YQZS69,"Mimoglad Office Chair, High Back Ergonomic Desk Chair with Adjustable Lumbar Support and Headrest, Swivel Task Chair with flip-up Armrests for Guitar Playing, 5 Years Warranty",Mimoglad Store,$159.99,In Stock,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Chairs', 'Home Office Desk Chairs']",https://m.media-amazon.com/images/I/414jZL4tnaL._SS522_.jpg,"['https://m.media-amazon.com/images/I/414jZL4tnaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51uqXIMK0bL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41fiazgAIJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41HH6mKrOmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51KKAHSVTSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ASjMAzDVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Dw1JSigqL._SS522_.jpg']",,Mimoglad,OC-5188H,"16.53""D x 19.68""W x 50.78""H","April 20, 2023",China,Beige,Foam,With arms,[],,"['[5 YEARS HASSLE REPAIR] One ergonomic chair and 5 years of assistant service are provided by Mimoglad. Every issue can be resolved without excuse. ', "" [Encourage “S-Shaped” Spinal Posture] An ergonomic chair with proper support always maintain a healthy spine posture and will not have a damaging and flattening effect on your back. Good lumbar support will minimize strain or pain on the lumbar discs in your spine. The adjustable headrest prevents you from hunching forward, scrunching your shoulders. Don't be slouching, this is the culprit. "", ' [No Degradation of The Comfort Of The Butt] Choose sufficient padding and breathable material. Low-Quality foam can break down quickly (Not because you are a big man). So Mimoglad increased the quality & density of the foam to balance softness, durability, and support, thereby reducing pressure on your hips and tailbone. mesh fabric has a noticeable ability to wick moisture and it is highly breathable, You will not get bogged down with sweat. ', ' [Get The Best Possible Fit and Feel] If you will be spending a lot of time in it, an adjustable computer chair is your best bet. Mimoglad chair allows lifting the headrest to land perfectly where your head is. Look for a pneumatic adjustment lever to let you bring the seat higher up or lower. the adjustable lumbar support to provide lumbar protection and eliminating lower back body strains. Reclining&rocking can help relieve pressure on your spinal discs. ', ' [Sustainable Above First Impressions] The chair passed a commercial test so you can not worry about work and about the reliability of all elements. The frame of the high back office chair is made of strong nylon, which is most suitable for chair production. With the entire base made from high-strength metal, the strength and durability of this chair support will easily hold up to 300 lbs and for many years of extended use.']",,"['Brand: Mimoglad', 'Color: Beige', 'Product Dimensions: 16.53""D x 19.68""W x 50.78""H', 'Back Style: Solid Back', 'Special Feature: Adjustable Lumbar, Adjustable Height, Adjustable Headrest, Ergonomic', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office, Study, Reading, Living', 'Maximum Weight Recommendation: 300 Pounds', 'Style: Modern', 'Pattern: Solid', 'Finish Type: Nylon', 'Room Type: Office, Game Recreation Room, Living Room, Bedroom, Study Room', 'Included Components: Armrest, Cushion, Caster', 'Shape: Other', 'Model Name: Home Office Desk Chair', 'Arm Style: With arms', 'Surface Recommendation: Hard Floor', 'Seat Back Interior Height: 23.62 Inches', 'Furniture base movement: Swivel', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Ergonomic', 'Seat Height: 22.83 Inches', 'Seat Depth: 16.53 inches', 'Fill Material: Foam', 'Arm Height: 29.52 Inches', 'Item Weight: 28 pounds', 'Manufacturer: Mimoglad', 'ASIN: B0C2YQZS69', 'Country of Origin: China', 'Item model number: OC-5188H', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 5,885 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #5,603 in Home & Kitchen (See Top 100 in Home & Kitchen) #23 in Home Office Desk Chairs', 'Date First Available: April 20, 2023']",066413fe-201e-58ff-b56c-e00cd2d21cf6,2024-02-02 18:53:49 +B0C8SJSZYS,https://www.amazon.com/dp/B0C8SJSZYS,"Let the Adventure Begin Door Mat 17""x30"" Decorative Farmhouse Home Campsite Travel Trailer Cabin Indoor Outdoor Front Porch Door Mat,Funny Camping Welcome Mat Decor,Gifts for Campers Camping Lovers",huester,$18.99,Only 12 left in stock - order soon.,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51Zv2zReYCL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51Zv2zReYCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/615E1Jv8OsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61SoDU1jSaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61lKtFvLToL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51LfqbF-G2L._SS522_.jpg']",,huester,282HL,"30""L x 17""W","June 21, 2023",China,,Rubber,Farmhouse,[],"[{'Brand': ' huester '}, {'Pile Height': ' Low Pile '}, {'Back Material Type': ' Rubber '}, {'Is Stain Resistant': ' Yes '}, {'Product Care Instructions': ' Machine Wash '}]","['●ENTRANE WELCOME MAT:17X30 inches.Stylish design makes the mat looks great in any house. Suitable for exterior patio entry way, porch door, garage, garden, laundry room,toilet,living room,office entryway or indoor bedroom or kitchen doors. ', ' ●NON-SLIP RUBBER BASE:Our mats are made from linen and Non-toxic eco-friendly recycled rubber.They are great all year long, perfect for rainy, muddy and snowy days. ', ' ●SCRAP DIRT & EASY TO CLEAN:It can scrap off dirt, dust, grit, mud, grass or snow and absorb moisture from shoe. Simply vacuum the doormat with a hand-held vacuum, sweep with a broom, or shake off the doormat outside or over your garbage bin. For a deeper clean, the doormat is machine washable and can be placed in the dryer. We recommend to rinse using cold water and tumble dry on low ', ' ●GREAT GIFT: It is a ideal gift for families friends and neighbors,charming gifts for our Home. ', ' ●WARM TIPS: In order to prevent the product from creases during transportation, We use curl packaging. Our aim is to provide customers with a 100% satisfactory shopping experience.']","●ENTRANE WELCOME MAT:17X30 inches.Stylish design makes the mat looks great in any house. Suitable for exterior patio entry way, porch door, garage, garden, laundry room,toilet,living room,office entryway or indoor bedroom or kitchen doors. ●NON-SLIP RUBBER BASE:Our mats are made from linen and Non-toxic eco-friendly recycled rubber.They are great all year long, perfect for rainy, muddy and snowy days. ●SCRAP DIRT & EASY TO CLEAN:It can scrap off dirt, dust, grit, mud, grass or snow and absorb moisture from shoe. Simply vacuum the doormat with a hand-held vacuum, sweep with a broom, or shake off the doormat outside or over your garbage bin. For a deeper clean, the doormat is machine washable and can be placed in the dryer. We recommend to rinse using cold water and tumble dry on low ●GREAT GIFT: It is a ideal gift for families friends and neighbors,charming gifts for our Home. ●WARM TIPS: In order to prevent the product from creases during transportation, We use curl packaging. Our aim is to provide customers with a 100% satisfactory shopping experience.","['Brand: huester', 'Pile Height: Low Pile', 'Back Material Type: Rubber', 'Is Stain Resistant: Yes', 'Product Care Instructions: Machine Wash', 'Pattern: Grass', 'Shape: Rectangular', 'Special Feature: Machine Washable,Non-toxic', 'Product Dimensions: 30""L x 17""W', 'Rug Form Type: Doormat', 'Style: Farmhouse', 'Item Weight: 14.1 ounces', 'Manufacturer: huester', 'ASIN: B0C8SJSZYS', 'Country of Origin: China', 'Item model number: 282HL', 'Best Sellers Rank: #943,003 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #15,933 in Outdoor Doormats', 'Date First Available: June 21, 2023']",d122a544-975b-5041-9c3d-cc00ca7cf91a,2024-02-02 18:53:50 +B09BVQZM3S,https://www.amazon.com/dp/B09BVQZM3S,"1 Pack Adjustable Height Center Support Leg for Bed Frame,Bed Center Slat Heavy Extra Durable Steel Support Legs | Suitable for Bed Frame,Cabinet and Wooden Furniture",POROHOM,$13.90,In Stock,"['Home & Kitchen', 'Furniture', 'Replacement Parts', 'Bed Parts']",https://m.media-amazon.com/images/I/41ci+bNjHPL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41ci+bNjHPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41tz1qz-OoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51LZ7sKVUaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51fL8jEergL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41RRmbuBZVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41SXO96Qa7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51KaLQ707gS._SS522_.jpg']",,Fhome,,7.01 x 4.57 x 3.7 inches,"August 4, 2021",China,1 Pack,,Straight,[],,"['Height adjustable: Adjusts from 7.2″ to 14.8″, The support leg is suitable for bed frame, bed center slat and other wooden furniture. It can protect your bed and mattress from damage or sagging. ', ' Stronger load: The super-heavy carbon steel circular base of the supporting feet is larger and more stable than other brands, and the weight is more than three times that of other brands. Each leg can carry a maximum weight of 600 pounds, which is twice that of other brands. ', ' More stable: The support leg is included two Jam Nuts to lock and stabilize extender，it will be more stable than other brands with one more Jam Nut. ', "" Material：The galvanized material is better and not easy to rust. Super-heavy carbon steel round base + Rubber round antislip cushion bottom design won't be harm and scratches to your floors and it has better grip. "", ' Packing included：installation instruction. included hardware with each Support Leg，1 Extend the screw ，1 Wing Nut ，2 Jam Nut，Coupler Nut，4 Phillips Wood Screw.']","Specifications: Name: Height adjustable support leg Height: Adjusts from 7.2 to 14.8 Support Leg :2inch W x 3inch D, The diameter of Base: 2.5inch Features: 1.Height adjustable:,Adjusts from 7.1 to 14.8, The support leg is suitable for bed frame, bed center slat and other wooden furniture. It can protect your bed and mattress from damage or sagging. 2.Stronger load: The super-heavy carbon steel circular base of the supporting feet is larger and more stable than other brands, and the weight is more than three times that of other brands. Each leg can carry a maximum weight of 600 pounds, which is twice that of other brands. 3.More stable: The support leg is included two Jam Nuts to lock and stabilize extender,it will be more stable than other brands with one more Jam Nut. 4.The galvanized material is better and not easy to rust. Super-heavy carbon steel round base + Rubber round antislip cushion bottom design won't be harm and scratches to your floors and it has better grip. Tips: 1.In order to prevent sagging, bending or cracking, it is to connect to the slats of the current bed frame.You may install as few or as many as you demand, most customers choose to use 2 or 3 support legs. 2.Important Note: Before installation, please be sure to lock the base nut with an open wrench to prevent the screw from loosening and affecting the installation.","['Brand: POROHOM', 'Color: 1 Pack', 'Style: Modern', 'Item Weight: 1.57 Pounds', 'Product Care Instructions: Wipe with Dry Cloth', 'Installation Type: Screw-In', 'Leg Style: Straight', 'Number of Pieces: 1', 'Weight Limit: 600 Pounds', 'Package Dimensions: 7.01 x 4.57 x 3.7 inches', 'Item Weight: 1.57 pounds', 'Manufacturer: Fhome', 'ASIN: B09BVQZM3S', 'Country of Origin: China', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 439 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #128,033 in Home & Kitchen (See Top 100 in Home & Kitchen) #29 in Bed Replacement Parts', 'Date First Available: August 4, 2021']",e03d22da-0321-5be0-8787-7eedeb2d104a,2024-02-02 18:53:50 +B0722V6KMX,https://www.amazon.com/dp/B0722V6KMX,Stylo Culture Traditional Cotton Patchwork Embroidered Ottoman Stool Pouf Cover Black Floral Seat 45 cm Seating Pouffe Case Bean Bag Home Decor,Stylo Culture,,,"['Home & Kitchen', 'Furniture']",https://m.media-amazon.com/images/I/61-CBGZCsJL._SS522_.jpg,"['https://m.media-amazon.com/images/I/61-CBGZCsJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61rhOYVNJcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61839YxYrRL._SS522_.jpg']",,No,SC-POUF00012,"18""D x 18""W x 13""H","July 29, 2017",,Black,Cotton,,[],,"['Color: Black. Size: Diameter-18 x Height-13 Inches. Material: Vintage cotton fabric patches ', ' Product Work: Embroidered patchwork with tassels. Package Contents: 1 Pouf Cover. (INSERT IS NOT INCLUDED). Pattern: Floral ', ' Production Technique: Khambadiya Patchwork. In khambadiya technique the vintage embroidered fabric patches are patched and stitched together at random to create a collage like effect and decorated with all kinds of colored threads, patchwork, raised colored thread work and embroidery in intricate designs with beautiful tassel work. The pouf covers are made by womens from India residing in the rural parts of India. ', ' Care Instructions: Dry clean only. Disclaimer: Color may slightly vary due to monitor resolution. ', ' Since the pouf cover is made from vintage fabric patches, each pouf cover is unique. There will be VARIATION in the patches however the BASE COLOR of the pouf cover will REMAIN SAME. There may be slight imperfections due to the products handmade nature which makes the product unique and different from other pouf covers.']",,"['Product Dimensions: 18""D x 18""W x 13""H', 'Color: Black', 'Brand: Stylo Culture', 'Fabric Type: Fabric', 'Frame Material: Cotton', 'Seat Height: 13 Inches', 'Product Care Instructions: Dry Clean Only', 'Size: Diameter-18 x Height-13 Inches', 'Item Weight: 15.2 ounces', 'Manufacturer: Stylo Culture', 'ASIN: B0722V6KMX', 'Item model number: SC-POUF00012', 'Customer Reviews: 3.9 3.9 out of 5 stars \n 151 ratings \n\n\n 3.9 out of 5 stars', 'Best Sellers Rank: #1,366,606 in Home & Kitchen (See Top 100 in Home & Kitchen) #99,786 in Furniture', 'Is Discontinued By Manufacturer: No', 'Date First Available: July 29, 2017']",eea44325-329f-528b-bcd5-66e7f663a1a6,2024-02-02 18:53:51 +B0BZ85JVBN,https://www.amazon.com/dp/B0BZ85JVBN,"Suptsifira Shoe storage box, 24 Packs Shoe Boxes Clear Plastic Stackable,Shoes Sneaker Container Storage Box, XL Shoe Boxes with Lids for Closet, Storage and Display(White)",Suptsifira,$143.98,In Stock,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Boot & Shoe Boxes']",https://m.media-amazon.com/images/I/51enKGSxK8L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51enKGSxK8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31XPY5lYNIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51sKmqN44TL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512KdQpJL8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51AJCmptt9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512SPxJuQHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gMaLpB4cL.SS125_SS522_.jpg']",,Suptsifira,,"13.7""L x 9.8""W x 7.1""H","March 22, 2023",,White,Porcelain,,[],"[{'Brand': ' Suptsifira '}, {'Color': ' White '}, {'Material': ' Porcelain '}, {'Special Feature': ' Stackable '}, {'Product Dimensions': ' 13.7""L x 9.8""W x 7.1""H '}]","['【Material】The plastic shoe box with cover is made of strong PP material. Firm and not easy to deform. Snap on snap ring design allows easy to put in and take out shoes. The transparent design allows you to easily see the shoes you want and take them out. Shoe storage boxes protects your shoes from dust ', ' 【Size】 13.4(L) x 9.6 (W) x 6.3 (H) inches, suitable for shoes less than US 12.5, and can be used to store flat shoes, sports shoes, sneaker,slippers, sandals, etc. It only takes 5 steps to install. These stackable shoe boxes keep your shoes in order. ', ' 【Wide Applicability】Shoe storage can be stacked in any shape you want. Help you tidy up the living room, garage, bedroom, wardrobe and make your home look cleaner and tidy. It can not only store shoes, but also toys, tools and other small items ', ' 【Best Gift】This is the best gift for family and friends to arrange and show their shoes. This shoe display case is a must-have for families. Shoe lovers must have it! ', ' 【Service】If you have any questions about our shoe containers, please feel free to contact us. We will reply you immediately after seeing the email. We hope our products will bring you a good shopping experience.']",,"['Brand: Suptsifira', 'Color: White', 'Material: Porcelain', 'Special Feature: Stackable', 'Product Dimensions: 13.7""L x 9.8""W x 7.1""H', 'Closure Type: Snap', 'Opening Mechanism: Snap', 'Shape: Rectangular', 'Pattern: Solid', 'Number of Items: 24', 'Unit Count: 12.0 Count', 'Manufacturer: Suptsifira', 'Item Weight: 17.71 pounds', 'Size: 24 PACK', 'Number Of Pieces: 24', 'Special Features: Stackable', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B0BZ85JVBN', 'Best Sellers Rank: #2,845,386 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,089 in Boot & Shoe Boxes', 'Date First Available: March 22, 2023']",f0dc38ef-7fc6-5cc4-b35b-65f936ce7f1a,2024-02-02 18:53:51 +B0CFL2G31X,https://www.amazon.com/dp/B0CFL2G31X,"Wellynap Computer Desk,31.5 inches Folding Table Computer Desk for Small Spaces Home Office, Gaming Desk Computer Table, No Install Needed, Modern Simple Style Laptop Table, Teak & Black",Wellynap Store,$69.99,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Folding Tables & Chairs', 'Folding Tables']",https://m.media-amazon.com/images/I/51pO-N48teL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51pO-N48teL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31J4A9Zd7YL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51IwPw3oKVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51th8Yj33cL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51-qJKL40-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41UQZlvtDJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/412nFBvU4FL._SS522_.jpg']",,,,"31.5""D x 15.7""W x 29.5""H",,,Teak & Black,Wood,Modern,[],,"[""【Dimension】Overall size of this craft table: L31.5 x W15.7 x H29.5 inch, it's the perfect size for your PC or Laptop. It's small and compact design fits where you need it, and still provides enough table space for writing, reading, or working at your computer. "", ' 【Variety Choose】Provides a variety of tabletops and black and white leg colors, allowing you to find a more suitable furniture combination. This computer desk is suitable for office, home work, learning games, etc. It provides ample leg space and can also be placed with suitable storage furniture. ', ' 【Multi-functional】This laptop desk does not require assembly and can be opened and folded in just a few seconds. Even on uneven floors, the laptop desk can remain stable. It folds quickly and can be easily stored without taking up too much space. This modern office desk can be used as a computer desk, home office desk, writing desk. ', ' 【Stable Design】The modern design of this desk with thick metal legs ensures stability.Desk frame utilizes heavy-duty and powder-coated metal materials, which ensures stability and durability. ', ' 【Great Customer Service】We are eliminating all the risk of buying furniture online and making sure every customer is satisfied. If your item arrives damaged in any way, we will send you a replacement.']",,"['Brand: Wellynap', 'Model Name: DSK-C5FOD080TOB', 'Model Number: DSK-C5FOD080TOB', 'Best Sellers Rank: #762,509 in Home & Kitchen (See Top 100 in Home & Kitchen) #363 in Folding Tables', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 4 ratings \n\n\n 5.0 out of 5 stars', 'Style: Modern', 'Color: Teak & Black', 'Room Type: Office, Living Room, Bedroom', 'Shape: Rectangular', 'Desk design: Computer Desk', 'Finish Type: Powder Coated', 'Base Material: Metal', 'Top Material Type: Wood', 'Product Dimensions: 31.5""D x 15.7""W x 29.5""H', 'Size: 31.5 inches', 'Assembly Required: No', 'Assembly Instructions: Already Assembled', 'Target Gender: Unisex', 'Included Components: desk', 'Special Feature: Ergonomic']",386c3d4e-fc1d-5ab2-908d-4eab9fc830b1,2024-02-02 18:53:52 +B0B93TC1Z8,https://www.amazon.com/dp/B0B93TC1Z8,"Smlttel Gold Clothing Rack With Shelves, Gold Coat Rack Freestanding with Marble Base, Coat Hanger Rack,Hat Tree Coat Rack Standing Clothes Racks for Boutique，Bedroom",Smlttel Store,$95.99,In Stock,"['Home & Kitchen', 'Furniture', 'Entryway Furniture', 'Coat Racks']",https://m.media-amazon.com/images/I/41aRwocdfAL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41aRwocdfAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41pzY+3EoBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Vuxc1iAjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VJtP+ERYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41BFyqctM4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41tDMMxgciL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71tRo4+CZ9L.SS125_SS522_.jpg']",,Big Fine,2CK3,"24""D x 13""W x 67""H","August 31, 2022",China,C gold,Metal,Modern,[],"[{'Brand': ' Smlttel '}, {'Color': ' C gold '}, {'Material': ' Metal '}, {'Recommended Uses For Product': ' Coats '}, {'Product Dimensions': ' 24""D x 13""W x 67""H '}]","['【Practical Clothes Rack】 We designed this gold coat rack with marble base, which is composed of high-end metal and elegant marble. Coat rack tree freestanding have 5 top-hooks, 4 side-hooks, for a total of 9 hooks for hanging your hats, bags, scarves, and top rails for hanging your clothes. Solid marble base for you to decorate, or place your high heels, etc. ', ' 【Perfect Craft Coat Hanger Rack 】 We use high quality metal to keep the main body of the coat rack freestanding upright and bear heavy clothes. We chose marble as the base to provide solid support, and marble also has a high decorative value. The perfect combination makes the perfect coat hanger stand. ', ' 【Rustproof Coat Rack Stand】This clothes garment rack is RUSTPROOF. You can place it in the bathroom to hang your towels, bath towels, bathrobes, etc. You can also place it outdoors to hang your tools and more. This coat tree freestanding is made of high-quality metal and superb painting technology, the surface is very smooth and can resist oxidation very well. ', "" 【Widely applicable】This gold metal clothing racks is stylish and chic, in line with modern people's pursuit of fashion. This gold racks for hanging can be placed in the foyer, bedroom, living room and other places to hang hats, bags, scarves and coats. "", "" 【Excellent service】Your choice is SMLTTEL's choice, this is the purpose of the brand creation. Our gold clothing racks installation is very simple, all the required tools are included (wrench and footpad), if you have any questions, please feel free to contact us, you are sure to get the most professional service.""]",,"['Brand: Smlttel', 'Color: C gold', 'Material: Metal', 'Recommended Uses For Product: Coats', 'Product Dimensions: 24""D x 13""W x 67""H', 'Installation Type: Free Standing', 'Special Feature: freestanding', 'Style: Modern', 'Finish Type: Gold', 'Number of Shelves: 1', 'Furniture Finish: Gold', 'Frame Material: Metal', 'Assembly Required: Yes', 'Item Weight: 19 Pounds', 'Maximum Weight Recommendation: 400 Pounds', 'Manufacturer: Big Fine', 'Part Number: 2CK3', 'Item Weight: 19 pounds', 'Country of Origin: China', 'Item model number: 2CK3', 'Finish: Gold', 'Shape: tree', 'Item Package Quantity: 1', 'Number Of Pieces: 1', 'Special Features: freestanding', 'Included Components: Metal Body, Marble Bae', 'Batteries Required?: No', 'ASIN: B0B93TC1Z8', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 192 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #269,714 in Home & Kitchen (See Top 100 in Home & Kitchen) #151 in Coat Racks', 'Date First Available: August 31, 2022']",eecadc04-afeb-5858-a60f-3979a80b79ba,2024-02-02 18:53:53 +B0787KRJ8S,https://www.amazon.com/dp/B0787KRJ8S,"Franklin Sports NFL Storage Ottoman + Container - NFL Football Team Folding Organizer Bins - NFL Office, Bedroom + Living Room Décor - 14"" x 14""",Franklin Sports Store,$39.99,Only 19 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/31ptZB+wS-L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31ptZB+wS-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Ow954yvuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41hkSG+4eDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51BxT4OWEWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/519merWci+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51BJ-NPGOzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41O4lKxgiYL._SS522_.jpg']",,"Franklin Sports, Inc.",,14 x 14 x 14 inches,"December 15, 2017",,Team Color,Fabric,Team Licensed Storage Ottoman with Detachable Lid,[],,"['Fabric ', ' Imported ', "" TENNESSEE TITANS STORAGE BIN: This collapsible storage ottoman is the perfect addition to any fan's office, bedroom, or man cave! "", ' DURABLE FOLDING CONSTRUCTION: The durable, folding MDF construction ensures these containers are built to last and easy to fold up and store when not in use ', ' FUNCTIONAL DÉCOR: Keep organized and maximize your storage space while also adding a splash of color and team pride to any room ', ' FOOTREST + STORAGE OTTOMAN: These storage ottomans are great pieces of décor to keep your room tidy and organized, and the padded removable lid even doubles as a foot rest for added comfort ', ' DIMENSIONS: This 14\' x 14"" x 14"" storage cube is a dynamic piece of furniture and the perfect gift for any football fan!']","Keep all of your things organized while showing your team colors with these fully collapsible storage units. Perfect for any bedroom, playroom, living room or anywhere else you need a quick storage solution. Each unit is constructed of durable MDF board and polyester fabric, allowing it to double as your footrest on game day! padded top lid is fully removable for easy access to the storage compartment. Perfect for stashing magazines, remotes, and more! now available with your favorite NFL team's logo","['Product Dimensions: 14""D x 14""W x 14""H', 'Color: Team Color', 'Brand: Franklin Sports', 'Fabric Type: Fabric', 'Base Material: Engineered Wood', 'Frame Material: Engineered Wood', 'Seat Height: 14 Inches', 'Product Care Instructions: Wipe with Damp Cloth', 'Maximum Weight Recommendation: 125 Pounds', 'Size: 14 x 14 x 14 - Inch', 'Style: Team Licensed Storage Ottoman with Detachable Lid', 'Item Package Dimensions L x W x H: 14.96 x 14.96 x 2.95 inches', 'Package Weight: 2.48 Kilograms', 'Item Dimensions LxWxH: 14 x 14 x 14 inches', 'Brand Name: Franklin Sports', 'Model Name: NFL Team Licensed Storage Ottoman with Detachable Lid 14 x 14 x 14 - Inch', 'Material: Fabric', 'Suggested Users: Fanshop', 'Number of Items: 1', 'Manufacturer: Franklin Sports, Inc.', 'Part Number: 70015F33', 'Included Components: 1 Bin', 'ASIN: B0787KRJ8S', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 875 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #132,136 in Home & Kitchen (See Top 100 in Home & Kitchen) #228 in Ottomans', 'Date First Available: December 15, 2017']",9762324d-bb95-5daa-a613-7c5f77eb01f6,2024-02-02 18:53:53 +B08WRLKR7T,https://www.amazon.com/dp/B08WRLKR7T,"Honey-Can-Do 3-Tier Nesting Bamboo Shoe Rack SHO-09492 Shoe Rack, Wooden Shoe Rack, 3 Tier Shoe Rack, Stackable Shoe Rack, Bamboo Shoe Rack,60 lbs",Honey-Can-Do Store,,Only 10 left in stock (more on the way).,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Free Standing Shoe Racks']",https://m.media-amazon.com/images/I/51GnnjKaVsL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51GnnjKaVsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ZsP+6g+TL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51zCjjXK5ML._SS522_.jpg']",,Honey-Can-Do,SHO-09492,"13.5""D x 30""W x 23""H",,China,,,Shoe,[],,"['Made from eco-friendly bamboo ', ' Modular tiers can be stacked or used separately ', ' Holds up to 16 pairs of shoes ', ' Dimensions: 30""W x 23""H x 13.5""D ', ' SHO-06865']","Bamboo is not only sturdy, but it also grows so quickly that it's touted as one of the world's most renewable resources. So this shoe rack not only corrals your shoes, but helps you do some good for the environment. This bamboo shoe rack is modular—so you can stack each of the three tiers on top of one another; or depending on your space, break them apart and put each one in a different room. Try one in the bedroom for slippers, one in the mudroom for boots, and one in the closet for work shoes.","['Room Type: Closet, Bedroom', 'Number of Shelves: 3', ""Special Feature: Bamboo is not only sturdy, but it also grows so quickly that it's touted as one of the world's most renewable resources. So this shoe rack not only corrals your shoes, but helps you do some good for the environment. This bamboo shoe rack is modular—so you can stack each of the three tiers on top of one another; or depending on your space, break them apart and put each one in a different room. Try one in the bedroom for slippers, one in the mudroom for boots, and one in the closet for work shoes."", 'Product Dimensions: 13.5""D x 30""W x 23""H', 'Style: Shoe', 'Brand: Honey-Can-Do', 'Product Care Instructions: Wipe with Dry Cloth', 'Size: 60 lbs', 'Recommended Uses For Product: Shoe', 'Number of Items: 1', 'Manufacturer: Honey-Can-Do', 'Included Components: 3-Tier Nesting Bamboo Shoe Rack', 'Model Name: 3-Tier Nesting Bamboo Shoe Rack', 'Item Weight: 9 Pounds', 'Furniture Finish: Brown', 'Installation Type: Freestanding', 'Item Weight: 9 pounds', 'ASIN: B08WRLKR7T', 'Country of Origin: China', 'Item model number: SHO-09492', 'Best Sellers Rank: #1,356,257 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,073 in Free Standing Shoe Racks', 'Maximum recommended load: 60 Pounds', 'Number of pieces: 1', 'Warranty Description: Honey-can-do international, llc (hcd) warrants its products will be free from defects in materials and workmanship when used for normal personal or household use, except as provided below. Within 60 days of purchase, and with proof of purchase, hcd, at its option, may offer a comparable product or offer a replacement part or request that the item be returned to the place of purchase. This warranty does not apply to damage caused by negligence, misuse, excessive use, improper cleaning, improper assembly, or any circumstance not directly attributable to manufacturing defects. Proof of purchase is required in the form of a receipt (copy or original) and proof of damage may be requested to validate warranty. Hcd provides this warranty in lieu of all other warranties either expressed or implied. In no event shall hcd, its affiliates, or subsidiaries be responsible for consequential or incidental damages arising out of a claim of defective product. Some states or provinces do not allow some exclusions or limitations, so the above statement may not apply to you. This warranty gives you specific legal rights, and you may also have other rights, which vary by state or province.', 'Batteries required: No']",632206ec-2167-5617-8b16-75dc3226c22a,2024-02-02 18:53:54 +B0C4NT8N8C,https://www.amazon.com/dp/B0C4NT8N8C,"Furnistar 15.9 inch Modern Round Velvet Storage Ottoman with Gold Plating Base, Upholstered Footrest Makeup Stool for Bedroom Living Room, Grey(Ship from US)",Furnistar Store,,,"['Home & Kitchen', 'Furniture']",https://m.media-amazon.com/images/I/31IBS5mzYSL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31IBS5mzYSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51HyplUtmmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31w4f8dpP6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gFY0vSZ-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41UyYCvyw5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41W8V6nrdcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41O3TUXVtuL._SS522_.jpg']",,Furnistar,KX0190-0162,"15.9""D x 15.9""W x 15.9""H","May 9, 2023",,Grey,Wood,Modern,[],,"['【Modern Design】Unique design shape with modern and fashion elements with gold metal legs. It will catch the eyes in many occasions. ', ' 【Versatile】The velvet ottoman is a good addition to your living room. Not only you will get extra space for sundries storing and you can also get an extra seat for vistors. When you are reading, watching movies the beutiful side table may let you more relaxed. And your home looks more tidy and beutiful. ', ' 【Durable】Skin-friendly velvet fabric, strong frame combination. Exquisite sewing skills make high-quality cloth pieces closely integrated.This ottoman use high-quality inner filling sponge, which can perfectly fit the entire frame at the same time. The metal stool feet at the bottom are also made of high-quality raw materials. A good stool is always by your side. ', ' 【Easy Maintenance】 Not only Assemble free but also easy to clean, just wipe with a damp cloth. ', ' 【After - sale】Thank you for choosing Furnistar. It is an honor to be able to provide good household products for your home. If you have any questions, please contact us in time. We serve you wholeheartedly.']",,"['Product Dimensions: 15.9""D x 15.9""W x 15.9""H', 'Color: Grey', 'Brand: Furnistar', 'Fabric Type: Velvet', 'Base Material: Metal', 'Frame Material: Wood', 'Seat Height: 15.9 Inches', 'Product Care Instructions: Wipe with Damp Cloth', 'Maximum Weight Recommendation: 200 Pounds', 'Assembly Required: No', 'Size: 15.9 inch', 'Style: Modern', 'Item Weight: 6 pounds', 'Manufacturer: Furnistar', 'ASIN: B0C4NT8N8C', 'Item model number: KX0190-0162', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 11 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #1,628,972 in Home & Kitchen (See Top 100 in Home & Kitchen) #116,961 in Furniture', 'Date First Available: May 9, 2023']",28724c48-738d-5f25-b770-6e2029a32adc,2024-02-02 18:53:54 +B0BT9SVN1V,https://www.amazon.com/dp/B0BT9SVN1V,"AMHANCIBLE C Shaped Side Table, End Tables Set of 2 with Charging Station, Couch Tables That Slide Under with USB Port & Outlet, Snack Table for Living Room,TV Tray, Black, HET02BPBK",AMHANCIBLE Store,$55.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41qDAGoNCrL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41qDAGoNCrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41RPMjXF2IL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51PXiI31sHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qcaqFDctL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51HAAqu6CcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4125dHrcIlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51s2I-TRLkL.SS125_SS522_.jpg']",,,,"11.4""D x 15.4""W x 26.4""H",,,Black,Engineered Wood,Straight Leg,[],,"[""【The Taller Height】26.4'' tall C-shaped design bring the table’s surface closer to you, adding an element of convenient accessibility. It can be used as the traditional table next to any chair, but you can also angle it over the arm of the couch or your lap for a closer tabletop surface, enough space for your legs. Pefectly design for taller and stronger people and for high arm America sofa "", ' 【C Tables with 2 USB Ports & 2 Outlets】The two sofa side tables slide under the couch or bed easily. USB ports 5V/2A and standard plug outlets 120V/12A can charge your phones, tablets, bluetooth earbuds, smart watches etc. and connect lamps or other electronic devices. The 6.56 ft long cord makes the couch side table a mobile charging station. Ideal for living room and bedroom. ', ' 【Simplicity Minimalist Aesthetic】It looks nice, isn’t overly complicated, and it’s indeed quite popular C Table for couch. This chic and simple style of home decoration is based mainly on pure black colors, which give a clean and tidy impression, and offer a comfortable, laid-back feeling for the owner. so you chose matte black and black wood tones to create a minimalist feeling ', ' 【Easy Assembly and Maintenance】With simple construction and detailed instructions, assembly is a breeze. Plus, cleaning is easy with just a wet cloth. ', ' 【Environmentally Friendly】Our participle wood is compliant with US EPA 40 CFR Part 770, Title VI, Formaldehyde Emission Standards, making it safe for you and the environment.']",,"['Brand: AMHANCIBLE', 'Shape: Rectangular', 'Seating Capacity: 2.00', 'Room Type: Bedroom, Living Room, Home Office, Dining Room, kids', 'Included Components: Assembly Guide, Installation Tool', 'Color: Black', 'Furniture Finish: Metal', 'Model Name: FBAHET02BPBK', 'Model Number: FBAHET02BPBK', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 78 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #108,721 in Home & Kitchen (See Top 100 in Home & Kitchen) #444 in End Tables', 'Special Feature: Space Saving, Lightweight, Easy Assembly, Eco-Friendly, Charging Station', 'Mounting Type: Floor Mount', 'Base Type: Pedestal', 'Indoor/Outdoor Usage: Outdoor, Indoor', 'Product Dimensions: 11.4""D x 15.4""W x 26.4""H', 'Item Width: 15.4 inches', 'Tabletop Thickness: 0.8 Inches', 'Size: 11.4""D x 15.4""W x 26.4""H', 'Number of Items: 2', 'Frame Material: Metal', 'Top Material Type: Engineered Wood', 'Is Stain Resistant: Yes', 'Product Care Instructions: Wipe with Dry Cloth, Wipe with Damp Cloth', 'Style: Modern', 'Table design: End Table', 'Pattern: Solid', 'Leg Style: Straight Leg', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Specific Uses For Product: Residential Use', 'Recommended Uses For Product: Reading, Cooking, Pasting, Filleting, Sewing, Meeting, Writing, Dining, Catering, Gaming, Displaying']",81c4a11e-4cc2-587f-93bb-5b4eeb4be3bb,2024-02-02 18:53:55 +B094F897P3,https://www.amazon.com/dp/B094F897P3,LONGWIN Black Hanging Wall Round Mirror Decor Geometric Circle Mirror for Bathroom Bedroom Living Room 10.2inch,LONGWIN Store,$17.99,In Stock,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/41kC6cU5HXS._SS522_.jpg,"['https://m.media-amazon.com/images/I/41kC6cU5HXS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51EAHchfcNS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/416HmQgHMOS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/418MRB8xdNS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VPsWo9yiS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511tABAUYnS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41kCO5USgvL.SS125_SS522_.jpg']",,,,10.24 x 10.24 x 0.63 inches,,,Black,"Glass, Metal",Modern,[],"[{'Brand': ' LONGWIN '}, {'Room Type': ' Bathroom '}, {'Shape': ' Round '}, {'Product Dimensions': ' 10.24""L x 10.24""W '}, {'Frame Material': ' Glass '}]","['❀Material of the black hanging wall mirror: metal edged with lace and high refractive index glass. ', ' ❀Specification: mirror measured 260mm(10.2inch) in diameter, and 623g(1.37lb) in net weight. ', ' ❀Match all style of home decor: Nordic style match all style of home decor. ', ' ❀Various usage: Gorgeous round hanging wall mirror great for entryway, living room, bathroom, bedroom vanity, gallery wall and hallway, put on the desk is also a beautiful view. ', ' ❀Brand LONGWIN: 100% Customer Satisfaction, message will respond within 24 hours, any problems will be handled properly.']","Material of the black hanging mirror: metal edge and high refractive index glass.Specification: mirror measured 260mm(10.2inch) in diameter, 623g(1.37lb) in net weight.Match all style of home decor: Nordic style match all style of home decor.Various usage: Gorgeous round hanging wall mirror great for entryway, living room, bathroom, bedroom vanity, gallery wall and hallway, put on the desk is also a beautiful view.","['Room Type: Bathroom', 'Mounting Type: Wall Mount', 'Frame Type: Framed', 'Frame Material: Glass', 'Finish Type: Painted', 'Material: Glass, Metal', 'Shape: Round', 'Style: Modern', 'Color: Black', 'Theme: Geometric,Nordic', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 123 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #348,152 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,054 in Wall-Mounted Mirrors', 'Brand: LONGWIN', 'Number of Pieces: 1', 'Number of Items: 1', 'Product Dimensions: 10.24""L x 10.24""W', 'Item Weight: 1.4 Pounds', 'Item Dimensions LxWxH: 10.24 x 10.24 x 0.63 inches', 'Assembly Required: No']",b5ba6e32-6eea-582c-85be-c44775bed4d8,2024-02-02 18:53:56 +B00UV7B29A,https://www.amazon.com/dp/B00UV7B29A,"Need Fold Wall Mounted Workbench Folding Wall Table Length 47.2"" Width 20"" Perfect Addition to Garage & Shed/Home Office/Laundry Room/Home Bar/Kitchen & Dining Room",Need Store,,,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Folding Tables & Chairs', 'Folding Tables']",https://m.media-amazon.com/images/I/31SqvdFCutL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31SqvdFCutL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cqXZs3uBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51zgBA2KZPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/519BT+99fqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41juKsnK2lL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nEjEOA6DL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/81c+YtmE1wL.SS125_SS522_.jpg']",,No,"AC15BW(L48 * W20\\\\\\\"")","20""D x 47.25""W x 7.09""H","July 3, 2018",,Teak Color Desktop & Warm White Folding Brackets,Metal,Modern,[],"[{'Material': ' Metal '}, {'Brand': ' Need '}, {'Product Dimensions': ' 20""D x 47.25""W x 7.09""H '}, {'Color': ' Teak Color Desktop & Warm White Folding Brackets '}, {'Item Weight': ' 22.4 Pounds '}]","['★SPACE-SAVING DESIGN - Fold up to use, down to store .Fold down to the wall using a simple fingertip release mechanism,You see the beautiful teak color surface instead of the hardware. ', ' ★ PERFECT FOR SMALL SPACES - This folding wall mounted workbench can fit where you need, it is a perfect addition to garage,shed,laundry room,home office, kitchen and dining room,even be used as a sewing table or a family bar stand. ', ' ★STURDY & SIMPLE - This workbench folding brackets are built with high-strength 14 gauge cold rolled steel that is powder coated for a perfect finish. And the top surface is 1 inch thick, high resistance on scratch & friction.According to the instructions, step by step installation is correct, no matter whether the reinforced concrete wall or drywall are very sturdy. ', ' ★ OVERALL DIMENSION - 47-1/4” L * 20""W * 7""H, After folding down thickness is 1-3/4"". Net weight about 22.35 lbs，gross weight about 28.22 lbs. ', ' ★DATA COMPARISON - The weight is 2.4 times that of other ordinary wall-mounted folding tables. The maximum load is 5 times that of other ordinary wall-mounted folding tables, and the thickness of the table is 1.6 times that of other wall-mounted floating tables.']",,"['Material: Metal', 'Brand: Need', 'Product Dimensions: 20""D x 47.25""W x 7.09""H', 'Color: Teak Color Desktop & Warm White Folding Brackets', 'Item Weight: 22.4 Pounds', 'Finish Type: Powder Coated', 'Base Type: Casters', 'Frame Material: Metal', 'Assembly Required: No', 'Manufacturer: Hebei Need Home Furnishing Supplies Co.,Ltd', 'Part Number: AC15BW(L48 * W20\\\\\\\\\\\\\\"")', 'Item Weight: 22.4 pounds', 'Item model number: AC15BW(L48 * W20\\\\\\\\\\\\\\"")', 'Is Discontinued By Manufacturer: No', 'Size: L47.2"" * W20""', 'Style: Modern', 'Finish: Powder Coated', 'Shape: Rectangular', 'Installation Method: Wall-Mounted', 'Item Package Quantity: 1', 'Number Of Pieces: 1', 'Maximum Weight Capacity: 200 Pounds', 'Extension Length: 47.25', 'Folded Knife Size: 47.25"" * 19.69"" * 1.75""', 'Mounting Type: Protruding', 'Special Features: Storage', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B00UV7B29A', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 993 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #47,550 in Home & Kitchen (See Top 100 in Home & Kitchen) #32 in Folding Tables', 'Date First Available: July 3, 2018']",9e82e445-4d8d-5fd1-9dcf-a92d9783365c,2024-02-02 18:53:57 +B08T7JP8ZN,https://www.amazon.com/dp/B08T7JP8ZN,"Big Joe Fuf XL Cover Only Machine Washable, Gray Plush, Soft Polyester",Big Joe Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Bean Bags, Covers & Refills', 'Bean Bags']",https://m.media-amazon.com/images/I/21ysztDdCYL._SS522_.jpg,"['https://m.media-amazon.com/images/I/21ysztDdCYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31OAFpK0ZqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/419bCDQ1UaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41hLThcVG6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51hBYL-ftSL.SS125_SS522_.jpg']",,Comfort Research,0000542C,"49""D x 62.5""W x 39""H",,,Grey,,Plush,[],,"['Fabric ', ' COMFORT MEETS STYLE: Looking to freshen up your current Fuf? Our replacement covers for our Big Joe Fuf XL make it easy to switch colors for your new look on your favorite chair. ', ' DURABLE MATERIAL: The removable, washable cover is made from our soft and cuddly fabric. ', "" UNIQUE COLORS FOR YOU: With lots of color choices, you're sure to find the perfect Fuf cover for you! "", ' IT\'S IN THE DETAILS: This cover is sized to fit a Big Joe Fuf XL. (The Fuf XL measures approximately 62.5""W x 49""D x 39""H). ', ' HOME GROWN: Big Joes are designed and filled in the USA.']","Does your Big Joe Fuf XL need a facelift? Grab one of our removable replacement covers in soft plush fabic to bring new life to your well-loved Fuf. Easy to zip on and off, this washable cover means you can keep on enjoying your Fuf for years to come. Choose from a variety of colors to match your mood (or room). You'll love the durable sewn-in handles. This product is only a cover and does not include any filling; please refer to full product dimensions before ordering.","['Brand: Big Joe', 'Color: Grey', 'Product Dimensions: 49""D x 62.5""W x 39""H', 'Pattern: Solid', 'Special Feature: Washable', 'Fabric Type: Fabric', 'Style: Plush', 'Included Components: Fuf XL Cover', 'Recommended Uses For Product: Chair', 'Product Care Instructions: Machine Wash', 'Size: Fuf XL', 'Shape: Round', 'Item Weight: 4.37 pounds', 'Department: Beanbags', 'Manufacturer: Comfort Research', 'ASIN: B08T7JP8ZN', 'Item model number: 0000542C', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 297 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #182,133 in Home & Kitchen (See Top 100 in Home & Kitchen) #136 in Bean Bag Chairs', 'Form Factor: Bean Bag Cover', 'Assembly required: Yes', 'Warranty Description: N/a.', 'Batteries required: No']",1308e3d5-7cba-52c1-9fe7-8503e4e11f3b,2024-02-02 18:53:58 +B09F3SGZ8Y,https://www.amazon.com/dp/B09F3SGZ8Y,"Plymor Rectangle 5mm Beveled Glass Mirror, 6 inch x 12 inch (Pack of 6)",Plymor Store,$69.91,Only 4 left in stock - order soon.,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/31wigA5chuL._SS522_.jpg,['https://m.media-amazon.com/images/I/31wigA5chuL._SS522_.jpg'],,Collecting Warehouse,GMB5-6x12-Rectangle-6,"12""L x 6""W",,Taiwan,Silver,Glass,,[],"[{'Brand': ' Plymor '}, {'Room Type': ' Office '}, {'Shape': ' Rectangular '}, {'Product Dimensions': ' 12""L x 6""W '}, {'Frame Material': ' Glass '}]","['SIZE: 6 inch x 12 inch and 5mm (0.2 inch) thick ', ' QUANTITY: Pack of 6 ', ' MATERIAL: Premium quality, highly reflective polished glass mirror with felt pads to protect table surface. ', ' USES: Our wide selection of glass mirrors offers endless possibilities for showcasing and elevating your items. These mirrors serve as the perfect canvas to enhance your retail store, home, or office display. Use them as a stylish base to exhibit figurines, miniatures, heirlooms, souvenirs, keepsakes, fashion or porcelain dolls, sports memorabilia, collectibles, crafts, models, candles, statues, sculptures, artifacts, and antiques with unparalleled elegance and flair. ', ' QUALITY GUARANTEE: When you purchase a Plymor Brand product, your satisfaction is guaranteed.']","Plymor Rectangle 5mm Beveled Glass Mirror, 6 inch x 12 inch (Pack of 6)Size: 6 inch x 12 inchWhat size mirror to order? Consider the available space where you intend to place the mirror. Ensure that the mirror will fit proportionally within the area. If using the mirror for a specific purpose, such as crafts, ensure the mirror is large or small enough for your intended purpose. We offer several different sizes and shapes of mirrors.Style: Premium quality, highly reflective polished glass mirror with foam pads to protect table surface.Creative Uses: Our exquisite genuine glass mirrors are designed to elevate the style of your retail store displays, home, or office. These versatile mirrors serve as the perfect canvas to showcase an array of cherished items, from figurines, miniatures, heirlooms, souvenirs, and keepsakes to fashion dolls, porcelain dolls, sports memorabilia, collectibles, crafts, models, candles, statues, sculptures, artifacts, and antiques. They effortlessly accentuate floral bouquets, seasonal arrangements, and decorative table centerpieces, lending a touch of elegance to your banquets or receptions. Moreover, our mirrors can be transformed into stunning decals, emblems, and home decor pieces, making them ideal for gifts, room decor, and a myriad of other decorations. Explore endless creative possibilities for your home, workplace, parties, and weddings, as these mirrors become the foundation for your artistic endeavors.Plymor Guarantee: Collecting Warehouse guarantees all Plymor products to arrive free of damage and defects.","['Brand: Plymor', 'Room Type: Office', 'Shape: Rectangular', 'Product Dimensions: 12""L x 6""W', 'Frame Material: Glass', 'Mounting Type: Tabletop Mount', 'Finish Type: Polished', 'Surface Recommendation: Glass', 'Color: Silver', 'Theme: Floral', 'Number of Pieces: 6', 'Number of Items: 6', 'Material: Glass', 'Frame Type: Unframed', 'Item Weight: 7.02 Pounds', 'Assembly Required: No', 'Item Weight: 7.02 pounds', 'Manufacturer: Collecting Warehouse', 'ASIN: B09F3SGZ8Y', 'Country of Origin: Taiwan', 'Item model number: GMB5-6x12-Rectangle-6', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 16 ratings \n\n\n 4.8 out of 5 stars', 'Best Sellers Rank: #428,449 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,346 in Wall-Mounted Mirrors', 'Finish types: Polished', 'Batteries required: No']",2387f6a9-15bd-5e9a-ac67-2c51738fb09f,2024-02-02 18:53:58 +B0B19ZGGXC,https://www.amazon.com/dp/B0B19ZGGXC,TIMCORR CD Case DVD Holder Storage: 144 Capacity DVD Cases Organizer Portable Wallet Storage - CD Plastic Protective Carrying Binder for Home Travel (Black),TIMCORR Store,$24.97,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'TV & Media Furniture', 'Media Storage', 'DVD Cases']",https://m.media-amazon.com/images/I/411Q2ETwelL._SS522_.jpg,"['https://m.media-amazon.com/images/I/411Q2ETwelL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41k2QkcSE8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41CRvSZCUUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Eyi9j2QXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/411pv5fUcCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41x7AqTRYgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/415HVoYTDvL.SS125_SS522_.jpg']",,TIMCORR,,"4.13""D x 6.89""W x 11.81""H","July 7, 2022",China,Black,EVA + PVC + PP + Non-woven fabric,Portable,[],"[{'Material': ' EVA + PVC + PP + Non-woven fabric '}, {'Color': ' Black '}, {'Special Feature': ' Portable '}, {'Product Dimensions': ' 4.13""D x 6.89""W x 11.81""H '}, {'Shelf Type': ' Sliding Shelf '}]","['144 High-capacity: The DVD storage case, made of EVA + PVC + PP film + non-woven fabric, is easy to hold 144 CD and Blu-ray discs with extra storage space left, and all materials comply with environmental protection requirements ', ' Durable EVA Binder: Design with armor art for confidence and longtime use, the premium water-resistant EVA outer material of the CD storage case provides good protection to your precious discs from broken, scratch, dust, and other damages ', ' Elaborate Protection: The soft non-woven + PP film sleeves of the DVD organizer protect the discs from scratches while preventing them from sliding down, and even with 144 pieces of discs in, the two-way zippers can still zip easily and smoothly ', ' Portable for Travel: 11.81*6.89*4.13 inches, only weight 0.44 pounds, the lightweight CD binder is perfect for moving your movie, music, and game collection from place to place, and the DVD storage case is suitable for travel, car, home, office ', ' Less Clutter More Leisure: Having your discs in order keeps your room tidy and allows you to enjoy leisure time from stress and clutter, and you can organize your copies of your favorites, listening, watching, and playing wherever']",,"['Material: EVA + PVC + PP + Non-woven fabric', 'Color: Black', 'Special Feature: Portable', 'Product Dimensions: 4.13""D x 6.89""W x 11.81""H', 'Shelf Type: Sliding Shelf', 'Number of Shelves: 1', 'Room Type: Office', 'Finish Type: Black', 'Assembly Required: No', 'Included Components: DVD CASE', 'Item Weight: 8.8 Ounces', 'Brand: TIMCORR', 'Style: Portable', 'Manufacturer: TIMCORR', 'Item Weight: 8.8 ounces', 'Country of Origin: China', 'Finish: Black', 'Item Package Quantity: 1', 'Special Features: Portable', 'Batteries Included?: No', 'Batteries Required?: No', 'Warranty Description: 2 year manufacturer', 'ASIN: B0B19ZGGXC', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 316 ratings \n\n\n 4.8 out of 5 stars', 'Best Sellers Rank: #84,428 in Home & Kitchen (See Top 100 in Home & Kitchen) #84 in DVD Cases', 'Date First Available: July 7, 2022']",3656fd70-40ab-51a4-a1a0-b65f994840ee,2024-02-02 18:53:59 +B00U0ECLG2,https://www.amazon.com/dp/B00U0ECLG2,Ginger Cayden Closed Towel Ring - 4905/SN - Satin Nickel,Ginger Store,,Usually ships within 2 to 3 days,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Rings']",https://m.media-amazon.com/images/I/31LNv7QILdL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31LNv7QILdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41zzcnvnsOL._SS522_.jpg']",,Ginger,4905/SN,6.3 x 6.3 x 3.3 inches,"February 25, 2015",Taiwan,Satin Nickel,Brass,,[],"[{'Color': ' Satin Nickel '}, {'Material': ' Brass '}, {'Finish Type': ' Satin '}, {'Brand': ' Ginger '}, {'Shape': ' Straight '}, {'Item Weight': ' 1.1 Pounds '}]","['Keep your bathroom organized while achieving your personal design vision ', ' Towel rings provide the finishing touch to your design and are Perfect for hand towels ', ' Solid brass construction delivers the utmost in beauty, durability, and long-lasting performance ', ' Includes durable mounting hardware for a secure installation ', "" Like all of Ginger luxurious accessory products, it's backed by a limited lifetime""]","Decorative and artistic, yet clean and modern, Cayden is the quintessential transitional design.   concave Posts and escutcheons compliment the uniquely curved bars, setting This collection apart from the crowd.","['Manufacturer: Ginger', 'Part Number: 4905/SN', 'Item Weight: 1.05 pounds', 'Product Dimensions: 6.3 x 6.3 x 3.3 inches', 'Country of Origin: Taiwan', 'Item model number: 4905/SN', 'Size: Towel Ring', 'Color: Satin Nickel', 'Finish: Satin', 'Material: Brass', 'Shape: Straight', 'Item Package Quantity: 1', 'Included Components: Mounting Hardware, Closed Towel Ring', 'Batteries Required?: No', 'ASIN: B00U0ECLG2', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 1 rating \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #1,014,276 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #1,279 in Bath Towel Rings', 'Date First Available: February 25, 2015']",a6b1503d-f9fa-5fa5-8aa1-62982c7c692b,2024-02-02 18:53:59 +B0C2HNGCRX,https://www.amazon.com/dp/B0C2HNGCRX,"Brightify Black Bathroom Mirrors for Wall, 24 x 36 Inch Rectangle Bathroom Mirrors for Vanity Black Metal Framed Anti-Rust, Matte Black Mirror for Farmhouse Hallway Wall Decor, Horizontal or Vertical",Brightify Store,$65.99,In Stock,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/510A0nIdGZL._SS522_.jpg,"['https://m.media-amazon.com/images/I/510A0nIdGZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wuikHGZDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Jwo33AQBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41h+1-UH-aL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51xUncTVpOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/513OPjtysoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61F+T+jB9yL.SS125_SS522_.jpg']",,,,"36""L x 24""W",,,Black,Aluminum,Modern,[],"[{'Brand': ' Brightify '}, {'Room Type': ' Bathroom, Farmhouse, Bedroom, Living Room, Dining Room '}, {'Shape': ' Rectangular '}, {'Product Dimensions': ' 36""L x 24""W '}, {'Frame Material': ' Aluminum '}]","['【Upgraded Aluminum Black Frame Mirror】Black bathroom mirror made of Solid and Durable Aluminum Alloy Construction with a sleek black Superior Aluminum Alloy frame, making it rust-free for use in wet and moist areas. Wall mounted mirror adopts upgraded 4mm HD glass shatterproof and explosion-proof with a gorgeous and clean image. Please remove the protective film on the bathroom mirror before use ', ' 【Modern Addition to Any Type of Rooms】Looking for nice decorative piece for new renovation? Brightify black bathroom mirror has a hint of elegance but still very simplistic. This black wall mirror is ideal for entryway, living room, dining room, bedroom, bathroom, dresser vanity, powder room, hallway entrance, fireplace, farmhouse and so on ', ' 【Ultra Light and Stable, Vertical or Horizontal Hanging】Classy rectangle mirror for bathroom, Aluminum material is lighter and more stable than bulky Metal Mirrors, perfectly as a decor vanity mirror. Brightify Mirrors look good above a makeup table, or an entry table and fireplace also, because they can be hung vertically or horizontally with the mounting bar, which provides the perfect position ', "" 【Easy Installation, Halftime Saved】Bathroom vanity mirror comes with all the hardware to hang properly and safely. 1*Mounting Bracket, 4*Screws, 4*Expansion Tubes and Installation Instruction are included. Thanks to the upgraded Wall Bracket, you can get rid of the hassle of measuring the screw hole distance from the rectangle mirror, because once you put the black frame mirror on the bar you can slide it so it's centered to where you want it "", ' 【Durable & Excellent Quality 】26x36 inch black mirror for bathroom is well packed with all-around protective plastic, styrofoam, and cardboard, which has passed drop test. No need to worry about the breakage. Promise to provide high quality black rectangle mirror']",,"['Room Type: Bathroom, Farmhouse, Bedroom, Living Room, Dining Room', 'Mounting Type: Wall Mount', 'Special Feature: Rustproof, Shatterproof, Thin Frame', 'Frame Type: Framed', 'Frame Material: Aluminum', 'Finish Type: Metal', 'Material: Aluminum', 'Product Dimensions: 36""L x 24""W', 'Assembly Required: No', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 13 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #653,840 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,959 in Wall-Mounted Mirrors', 'Brand: Brightify', 'Number of Pieces: 1', 'Number of Items: 1', 'Shape: Rectangular', 'Style: Modern', 'Color: Black', 'Theme: Farmhouse']",d52e33c2-540d-5e61-b0bd-c4b57c53251f,2024-02-02 18:54:00 +B0C3B4D4RH,https://www.amazon.com/dp/B0C3B4D4RH,"SogesHome Wood Corner Cabinet Wall Corner Storage Cabinet, Storage Display Table Stand Cabinet, with Doors and Open Shelf, for Small Places, Living Room, White&Teak",SogesHome Store,,Available to ship in 1-2 days,"['Home & Kitchen', 'Furniture', 'Accent Furniture', 'Storage Cabinets']",https://m.media-amazon.com/images/I/41BTUFVwm+L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41BTUFVwm+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VbAON6l9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/311xTAgjw7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41dq+SjwD2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4173a6W658L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41pHJs8dD7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41zWEUbLaKL._SS522_.jpg']",,,10CZSSLR03TK,"26.78""D x 25.1""W x 36.5""H","December 25, 2023",China,White&teak,,Open Frame,[],,"['【Durable Corner Cabinet】: This corner stand cabinet is made of high quality E1 particle wood, ensures stability and durability. The corner cabinet with 3 solid wood raised legs, is not only more convenient for you to get the supplies, but also sturdy enough to hold heavy duty goods like kitchenware. ', ' 【Space -Saving Design】: This corner cabinet is designed for space-saving and full use of any limited space or corner to provide additional storage space for your home, kitchen, office, living room, dining room,or bedroom. ', ' 【Humanization Design】: 90 degree angel in the rear makes it’s ability to stand freely or sit flush against a wall perfectly stable. The size of our corner cabinet is 18.8*18.8*33 inches (length * width * height). It can make good use of the corner space in your home ', ' 【Multipurpose Storage Cabinet】: This corner cabinet in white and teak, looks simple but modern, fits great in any corner of living room, bedroom, home office, kitchen, hallway, balcony, bathroom. This corner stand storage cabinet with large storage room, works well as small bookcase,sideboard,entryway table, space storage for compact space. ', ' 【Customer Service】: Easy to assemble with the tools and instructions of the corner cabinet included in the package. Any problem with the corner cabinet, please contact us as soon as possible!']",,"['Brand: SogesHome', 'Color: White&teak', 'Product Dimensions: 26.78""D x 25.1""W x 36.5""H', 'Special Feature: Heavy Duty', 'Mounting Type: Free Standing', 'Room Type: Living Room', 'Door Style: Open Frame', 'Included Components: All', 'Number of Pieces: 4', 'Item Weight: 18.8 Kilograms', 'Base Type: Legs', 'Assembly Required: Yes', 'Item Weight: 41.4 pounds', 'Country of Origin: China', 'Item model number: 10CZSSLR03TK', 'ASIN: B0C3B4D4RH', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 12 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #4,224,243 in Home & Kitchen (See Top 100 in Home & Kitchen) #6,740 in Storage Cabinets', 'Date First Available: December 25, 2023']",f5ae2c9b-4070-5230-b90a-691268b0a637,2024-02-02 18:54:01 +B0B4CL1M1M,https://www.amazon.com/dp/B0B4CL1M1M,Toy Storage for Lego Play Mat Bag - Duplo Toy Organizer Storage Bag by Drawstring for Kids Tidy Toy with Lips can as Gift (Orange 47 inch),SUMBABO,$27.99,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Toy Bags & Nets']",https://m.media-amazon.com/images/I/51KKvmDCqBL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51KKvmDCqBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41jC+8mnIgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Dexac39OL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51xSXg0ZTrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Sc3cNGitL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51kTrAb4m0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51k80Pn74lL._SS522_.jpg']",,XIA ZHU,LSB-002,"13.39""L x 10.87""W x 2.72""H","June 17, 2022",,Orange,Nylon,,[],"[{'Brand': ' SUMBABO '}, {'Material': ' Nylon '}, {'Color': ' Orange '}, {'Product Dimensions': ' 13.39""L x 10.87""W x 2.72""H '}, {'Load Capacity': ' 10 Pounds '}, {'Recommended Uses For Product': ' Toys '}, {'Closure Type': ' Drawstring '}, {'Shape': ' Lips,Toy '}, {'Number of Items': ' 1 '}, {'Size': ' Big '}]","['😊Design idea！- When your kids are going to play with their toy, Just open toy mat that extends out to 120cm offering large space to spread out their toy bricks and play. Messy play areas are a thing in a past! The U.S. patent number of this product is D955108, SUMBABO company is the seller. ', ' 😊Time saving！– Just pull toy storage mat bag drawstrings and all toys are packed without wasting time when you move them around. Please note that the more weight and the rope is pulled as far as possible, the mouth of the toy bag can be better closed！ ', ' 😊Upgrade，More practica！– Toy storage bag has an additional 10cm fence.It can be increased storage capacity; The toy storage bag put it up like a travelling bag, Suitable for indoors and outdoors！ ', ' 😊Premium material！– Double layer, high-density nylon material toy storage bag that stores my son’s four big boxes of toy brick still won’t split open! Yes, It is delightful for toy storage bag play mat！ ', "" 😊Better choice for brick toys！– My son can play around toy mat for more than 1 hours, Compared to storing toy in a box, using our mat bag spread out bricks more easy inspire imagination, creativity, make learning fun and become a better legos builder! It's a choice for children's birthday gifts！""]",,"['Brand: SUMBABO', 'Material: Nylon', 'Color: Orange', 'Product Dimensions: 13.39""L x 10.87""W x 2.72""H', 'Load Capacity: 10 Pounds', 'Recommended Uses For Product: Toys', 'Closure Type: Drawstring', 'Shape: Lips,Toy', 'Number of Items: 1', 'Size: Big', 'Number of Sets: 1', 'Item Weight: 0.02 Kilograms', 'Manufacturer: XIA ZHU', 'Part Number: LSB-002', 'Item Weight: 0.634 ounces', 'Item model number: LSB-002', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B0B4CL1M1M', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 56 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #308,365 in Home & Kitchen (See Top 100 in Home & Kitchen) #43 in Toy Bags & Nets', 'Date First Available: June 17, 2022']",203ecc9a-8e03-5fa0-b5d9-95f04028d8fa,2024-02-02 18:54:02 +B00FEAN1SY,https://www.amazon.com/dp/B00FEAN1SY,Flash Furniture Jefferson 2 Pk. Contemporary Brown Vinyl Adjustable Height Barstool with Panel Back and Chrome Base,Flash Furniture Store,,,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/41GYYVLfGjL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41GYYVLfGjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41wycQBHNmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ogzTbO47L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31yUgt7ZihL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31VYswcYRPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31sCzqPX-oL._SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,Flash Furniture,2-CH-92066-BRN-GG,"18.5""D x 15.25""W x 43.75""H",,,Brown,,Contemporary,[],,"['Plywood/Chrome/Foam/Vinyl/Metal/Plastic ', ' Pack of 2: Give your décor an upgrade with this sleek, modish adjustable height barstool. The seat and back are padded with 2"" of foam ensuring comfort while eating, catching up with family and friends or hosting those marathon card games. ', ' Mid back design with vinyl upholstered padded back and seat with CAL 117 fire retardant foam ', ' Chrome base with footrest, Base Diameter: 17.625"" ', ' Contemporary style fits nicely in your kitchen, dining room or living space ', ' PRODUCT MEASUREMENTS: Overall Size: 15.25""W x 18.5""D x 35.25-43.75""H; Seat Size: 15.25""W x 14.5""D x 23.75-32.25""H; Back Size: 14.5""W x 12""H']","Relax and hang out in this adjustable height, panel back brown barstool that proves simple doesn't have to be boring. This piece would be a great fit for your home bar, game room or kitchen island. The seat and back are padded with 2"" of foam and upholstered in luxurious black vinyl. The swivel seat easily adjusts from counter to bar height using the convenient gas lift handle, located just below the seat. The chrome base and footrest complement the stool's modern design and this stool will hold up to 330 pounds. Designed for residential use, this black vinyl barstool is an excellent choice when you want a contemporary look for your home.","['Product Dimensions: 18.5""D x 15.25""W x 43.75""H', 'Color: Brown', 'Brand: Flash Furniture', 'Size: Set of 2', 'Style: Contemporary', 'Furniture Finish: Gray', 'Maximum Weight Recommendation: 330 Pounds', 'Product Care Instructions: WN-Water and neutral detergent', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 22.7 pounds', 'Manufacturer: Flash Furniture', 'ASIN: B00FEAN1SY', 'Item model number: 2-CH-92066-BRN-GG', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 90 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #724,504 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,674 in Barstools', 'Fabric Type: Plywood/Chrome/Foam/Vinyl/Metal/Plastic', 'Finish types: brown', 'Specifications: certified frustration-free', 'Warranty Description: 1 year limited.', 'Batteries required: No', 'Included Components: Vinyl Adjustable Height Barstools']",72675ea3-0e2e-5752-a1fb-61a1a3031f4e,2024-02-02 18:54:03 +B08GSH4KVM,https://www.amazon.com/dp/B08GSH4KVM,"Hong Art- Metal Mirror-Matt Black,Glass Panel Black Framed Rounded Corner,Mirrored Rectangle Hangs Horizontal or Vertical,MR2001BK1，11.8"" 15.74""",Hong Art,$22.39,In Stock,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/31XytAHobHL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31XytAHobHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/314usdQYH+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31ybb7SLS7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31F38DxmFPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41hPWA-MZgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31BPzWpyVNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51JFC73a6zL._SS522_.jpg']",,,,15.75 x 11.81 x 0.98 inches,,,Black,Metal,Classic,[],"[{'Brand': ' Hong Art '}, {'Room Type': ' Bathroom '}, {'Shape': ' Rectangular '}, {'Product Dimensions': ' 15.74""L x 11.8""W '}, {'Frame Material': ' Glass '}]","['11.8*15.74-inch, clean modern lines, rectangular,plate glass black metal frame with round corners ', ' the mirror has the perfect dimension to add a stylish statement to a bathroom,hallway, bedroom or living room. You could even place two on adjacent walls for opening up space in any smaller room. ', ' Hang the mirror onto the wall.You can hang it both horizontally or vertically. ', ' Four pre-installed hanging clips for wall mounting included ', ' If you meet any problem of the mirror,contact us without hesitate.']","This metal rectangle round corner large mirror matches any room and any decor perfectly. Use as a black bathroom mirror, vanity mirror, or entry mirror. Add light and enhance the beauty of any room in your home instantly! Safety backing strengthens the glass surface making it less susceptible to breakages. The reflective glass is a brilliant choice for home walls because of the clean look.","['Room Type: Bathroom', 'Mounting Type: Wall Mount', 'Surface Recommendation: Glass', 'Special Feature: Portable', 'Frame Type: Framed', 'Frame Material: Glass', 'Finish Type: Painted', 'Material: Metal', 'Shape: Rectangular', 'Style: Classic', 'Color: Black', 'Theme: Modern', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 13 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #663,224 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,966 in Wall-Mounted Mirrors', 'Brand: Hong Art', 'Number of Pieces: 1', 'Number of Items: 1', 'Product Dimensions: 15.74""L x 11.8""W', 'Item Weight: 2 Kilograms', 'Item Dimensions LxWxH: 15.75 x 11.81 x 0.98 inches', 'Assembly Required: No']",7667bf0e-06c6-52ce-b25b-ca878ec4744e,2024-02-02 18:54:03 +B01B65BYYI,https://www.amazon.com/dp/B01B65BYYI,"Convenience Concepts American Heritage Round End Table, Pink",Convenience Concepts Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/311rmB9BDWL._SS522_.jpg,"['https://m.media-amazon.com/images/I/311rmB9BDWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41r6MHIyAbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qKzM5arcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/318XmVhxy5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31kdXu7ahkL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/71NBmqtJxIL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/A1S3evfSq0L.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,,,"17.75""D x 17.75""W x 24""H",,,Pink,"Solid + Manufactured Wood,Particle Board/Chipboard",Round End Table,[],,"['Quick and Easy Set Up ', ' Bottom Shelf for storage ', ' Modern Design ', ' Will Provide Years of Enjoyment ', ' Will Compliment Any Decor']","The American Heritage Round End Table with Shelf combines elegance and sophistication. Featuring a bottom shelf allowing for additional storage and display area. Available in multiple finishes, and the slightly curved legs this piece will easily complement any new or existing decor.","['Brand: Convenience Concepts', 'Shape: Round', 'Included Components: Round Table', 'Color: Pink', 'Finish Type: Gloss', 'Furniture Finish: Glossy Finish', 'Model Name: American Heritage Round End Table with Shelf', 'Model Number: 7106259PK', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 1,207 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #159,417 in Home & Kitchen (See Top 100 in Home & Kitchen) #643 in End Tables', 'Style: Round End Table', 'Table design: End Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Specific Uses For Product: Residential Use', 'Product Dimensions: 17.75""D x 17.75""W x 24""H', 'Item Width: 17.75 inches', 'Size: 17.75""L x 17.75""W x 24""H', 'Item Weight: 12 Pounds', 'Number of Items: 1', 'Number of Shelves: 1', 'Unit Count: 1.0 Count', 'Frame Material: Wood', 'Top Material Type: Solid + Manufactured Wood,Particle Board/Chipboard', 'Is Stain Resistant: Yes', 'Special Feature: Storage', 'Base Type: Legs', 'Indoor/Outdoor Usage: Indoor']",579657ef-e010-5fb7-b301-a50db999bba7,2024-02-02 18:54:04 +B000TMHWGO,https://www.amazon.com/dp/B000TMHWGO,Flash Furniture Diamond Black Vinyl Luxurious Conference Chair with Accent Nail Trim,Flash Furniture Store,,,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Chairs', 'Home Office Desk Chairs']",https://m.media-amazon.com/images/I/41LYsAMww6L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41LYsAMww6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/417vJQsK+TL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41h+WsgYOfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ao-Uk1KFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41px3VNIeFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414tyfNk+gL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41wVI7IPSbL.SS125_SS522_.jpg']",,No,B-Z105-BLACK-GG,"27""D x 24""W x 31.5""H","June 26, 2006",,Black Vinyl,Foam,Fixed,[],,"['Classics are called classic for a reason, they never go out of style. This exemplary conference chair is a perfect marriage of distinguished and durable that will showcase your impeccable sense of style. ', ' Black vinyl upholstered back and seat with CAL 117 fire retardant foam ', ' Solid mahogany hardwood frame for durability ', "" Traditional style captain's chair for areas like conference rooms, libraries, waiting rooms "", ' PRODUCT MEASUREMENTS: Overall Size: 24""W x 27""D x 31.5""H; Seat Size: 19""W x 18""D x 19""H; Back Size: 17""W x 15""H; Arm Size: 25""H from floor; 8""H from seat']","Add timeless charm to your space with this elegant reception/conference chair. This chair features black vinyl upholstery, contoured cushions and an open back design. Designed with upholstered straight arms and attractive brass nail accents, this chair adds a distinctive touch to any setting. For long-lasting performance, this conference chair is built with a sturdy hardwood frame. This chair will complement reception areas, libraries or your office as a guest chair.","['Brand: Flash Furniture', 'Color: Black Vinyl', 'Product Dimensions: 27""D x 24""W x 31.5""H', 'Size: Set of 1', 'Back Style: Open', 'Special Feature: Padded', 'Product Care Instructions: X-Vacuum or light brushing to remove dirt', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office', 'Maximum Weight Recommendation: 250 Pounds', 'Style: Traditional', 'Pattern: Solid', 'Finish Type: black', 'Room Type: Home Office/Study;Lobby/Waiting Room;Office', 'Age Range (Description): Adult', 'Included Components: Vinyl Side Chairs', 'Shape: Square', 'Model Name: Flash Furniture', 'Arm Style: Fixed', 'Surface Recommendation: Hard Floor', 'Form Factor: Vinyl', 'Furniture Finish: Brass', 'Seat Depth: 18 inches', 'Fill Material: Foam', 'Item Weight: 22 pounds', 'Item model number: B-Z105-BLACK-GG', 'Is Discontinued By Manufacturer: No', 'Weight: 25 Pounds', 'ASIN: B000TMHWGO', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 153 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #697,301 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,509 in Home Office Desk Chairs', 'Date First Available: June 26, 2006']",f5d6e793-cad3-585f-a24f-5644840a792d,2024-02-02 18:54:05 +B07TXMJ5FQ,https://www.amazon.com/dp/B07TXMJ5FQ,"Gatco 1918, Modern Rectangle Waste Basket, Matte Black / 11.25"" H Open Top Stainless Steel Trash Can with Removable Lid, 12 Liter Capacity",Gatco Store,$59.90,In Stock,"['Home & Kitchen', 'Storage & Organization', 'Trash, Recycling & Compost', 'Wastebaskets']",https://m.media-amazon.com/images/I/31dnAVaEmvL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31dnAVaEmvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51uyddnHZUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/411DjhpGAeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41t0qEv7t0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51k6MNopxZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51vL-q6LeJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51EQvOvvXGL.SS125_SS522_.jpg']",,Gatco,1918,"11.25""L x 6.25""W x 11.25""H","July 2, 2019",China,Matte Black,Stainless Steel,Rectangle,[],"[{'Brand': ' Gatco '}, {'Capacity': ' 12 Liters '}, {'Color': ' Matte Black '}, {'Opening Mechanism': ' Open-Top, Pull-Out '}, {'Material': ' Stainless Steel '}, {'Recommended Uses For Product': ' Bathroom, Kitchen, Indoor '}, {'Room Type': ' Dormitory, Bathroom, Kitchen, Bedroom, Home Office '}, {'Special Feature': ' Removable Lid, Rustproof, Leakproof '}, {'Shape': ' Rectangular '}, {'Finish Type': ' Powder Coated '}]","['Fine edges and clean lines define Gatco’s luxurious contemporary waste basket, as it instantly rejuvenates and modernizes your bathroom adding style and high-end appeal. ', ' Hand polished and HAND CRAFTED with precision, Gatco only features stainless-steel metalwork in our trash bins to ensure durability, dependability, and resistance to- rust, corrosion, denting, and scratching. ', ' Leak-proof- Base constructed of welded solid metal walls ensuring your waste basket is 100% watertight, making it great for indoor use. ', ' Features a removable lid ring to keep liners concealed and in place. ', ' Padded bottom prevents sliding and scratching.']","Product Description From a company with over 40 years of experience in luxury bathware, Gatco presents our modern rectangle waste basket. It embodies a minimalist open top, coverless design, bringing serenity to any space. A slim profile allows the flexibility to set this can inside a cabinet, tall sliding pull out drawer, under your sink, beside a toilet, or anywhere it may be convenient. Crafted of premium quality hand polished stainless steel to insure a watertight and durable construction. Also functions as a decorative umbrella holder or recycling bin. Features a 3.2 gallon interior volume that fits any 3 gal/13 quart garbage bag or larger. Comes in a variety of styles and finishes to compliment your modern interior. To ensure out excellence, all Gatco products are covered under a 100-year warranty. From the Manufacturer Since 1977, Gatco has been a leader in designing and manufacturing premium luxury bathware. Backed by our lifetime warranty, you can trust our products to always exceed your expectations and live up to their name. We proudly stand by our TRUE DESIGN and COMMITMENT TO EXCELLENCE.","['Brand: Gatco', 'Capacity: 12 Liters', 'Color: Matte Black', 'Opening Mechanism: Open-Top, Pull-Out', 'Material: Stainless Steel', 'Recommended Uses For Product: Bathroom, Kitchen, Indoor', 'Room Type: Dormitory, Bathroom, Kitchen, Bedroom, Home Office', 'Special Feature: Removable Lid, Rustproof, Leakproof', 'Shape: Rectangular', 'Finish Type: Powder Coated', 'Item Weight: 5 Pounds', 'Product Dimensions: 11.25""L x 6.25""W x 11.25""H', 'Manufacturer: Gatco', 'Part Number: 1918', 'Item Weight: 5 pounds', 'Country of Origin: China', 'Item model number: 1918', 'Size: 12 Liter', 'Style: Rectangle', 'Finish: Powder Coated', 'Item Package Quantity: 1', 'Special Features: Removable Lid, Rustproof, Leakproof', 'Included Components: Wastebasket', 'Batteries Required?: No', 'ASIN: B07TXMJ5FQ', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 87 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #111,186 in Home & Kitchen (See Top 100 in Home & Kitchen) #147 in Wastebaskets', 'Date First Available: July 2, 2019']",e0306e57-55a4-562a-ab47-f8e5830cbf60,2024-02-02 18:54:06 +B0CGQZBCZP,https://www.amazon.com/dp/B0CGQZBCZP,"Winrise Office Chair Ergonomic Desk Chair, High Back Gaming Chair, Big and Tall Reclining chair Comfy Home Office Desk Chair Lumbar Support Breathable Mesh Computer Chair Adjustable Armrests(B-Orange)",Winrise Store,$189.99,In Stock,"['Office Products', 'Office Furniture & Lighting', 'Chairs & Sofas', 'Managerial & Executive Chairs']",https://m.media-amazon.com/images/I/41hCFaVIC+L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41hCFaVIC+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41OcQZpIIhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Q5i8M666L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51BgNVz7dmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51lknG1BusL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ieg7HkffL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A1aiM81XOhL.SS125_SS522_.png']",,Winrise,,"27.5""D x 27.5""W x 50.4""H","August 28, 2023",,S-black,Sponge,Straight,[],,"['𝗛𝗶𝗴𝗵 𝗕𝗮𝗰𝗸 𝗘𝗿𝗴𝗼𝗻𝗼𝗺𝗶𝗰 𝗢𝗳𝗳𝗶𝗰𝗲 𝗖𝗵𝗮𝗶𝗿: Winrise\xa0office chairs\xa0are designed with professional ergonomics to protect human body while prolonged sitting. The\xa0home office desk chair\xa0features a divided backrest to decompress the lower back, and the elastic adaptive lumbar support can effectively avoid lumbar suspension, muscle strain, and lumbar spine injury. ', ' 𝗦𝗶𝗺𝗽𝗹𝗲 𝗔𝗱𝗷𝘂𝘀𝘁𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗔𝗱𝗮𝗽𝘁𝗶𝗼𝗻: The\xa0reclining chair\xa0can be simply adjusted by one lever - lift it for seat height adjustment - pull it out for reclining, meanwhile you can choose 3 tilt angles for your different conditions needed. Armrests also can be adjusted to different heights within 3"". The headrest of the\xa0office desk chair\xa0with a widened headrest conforms to the curve of the human neck, which can be adjusted up and down, rotated 60 degrees back and forth, and fits to support the neck. ', ' 𝗖𝗼𝗺𝗳𝘆 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗖𝗵𝗮𝗶𝗿 𝘄𝗶𝘁𝗵 𝗛𝗮𝗻𝗴𝗲𝗿: The comfortable thick seat cushion and backrest of the\xa0home office chair\xa0adopt a double woven mesh of cowhide. The cushion of the\xa0gaming chair\xa0is composed of a high-density sponge, which will not collapse after sitting for a long time, protecting your hips. The hanger behind the gaming chair with anti-slip particles is easy to place coats on, saving space and keeping them neat. ', ' 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗗𝘂𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Available in a variety of colors to suit every office, home furnishing, conference room, etc., the chairs are made with top-quality mesh material, which is soft, comfortable, stain-resistant, and durable. The chair’s five-star base is sturdy and durable, with a weight capacity of up to 300 pounds. With simple cleaning and maintenance, these chairs will look great for years to come. ', ' 𝗪𝗼𝗿𝗿𝘆-𝗳𝗿𝗲𝗲 𝗔𝗳𝘁𝗲𝗿𝘀𝗮𝗹𝗲𝘀: The\xa0desk chair\xa0comes with detailed assembly instructions and an assembly video that allow you to assemble the chair easily. If you have any questions about our\xa0ergonomic chairs, please do not hesitate to contact us by email, we will spare no effort to assist you to solve any problem. Let you sit comfortably, rest well, and work well. The warranty period is 1 year.']",,"['Brand: Winrise', 'Color: S-black', 'Product Dimensions: 27.5""D x 27.5""W x 50.4""H', 'Size: 999', 'Back Style: Solid Back', 'Special Feature: Adjustable Height, Adjustable Headrest, Arm Rest, Ergonomic, Adjustable Backrest', 'Product Care Instructions: Wipe Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office, Drafting, Reading, Gaming', 'Maximum Weight Recommendation: 300 Pounds', 'Style: Modern', 'Pattern: Solid', 'Room Type: Office, Game Recreation Room, Study Room, Drawing Room', 'Age Range (Description): Adult', 'Included Components: Headrest, Hanger, Cushion, Caster', 'Shape: L-Shape', 'Arm Style: with-arms', 'Surface Recommendation: Hard Floor', 'Seat Back Interior Height: 35 Inches', 'Furniture base movement: Swivel', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Upholstered', 'Seat Height: 15 Inches', 'Seat Depth: 21 inches', 'Fill Material: Sponge', 'Seat Length: 19.7 Inches', 'Leg Style: Straight', 'Arm Height: 15 Inches', 'Item Weight: 38 pounds', 'Manufacturer: Winrise', 'ASIN: B0CGQZBCZP', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 812 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #30,539 in Office Products (See Top 100 in Office Products) #93 in Managerial Chairs & Executive Chairs', 'Date First Available: August 28, 2023']",b3a490d6-a89e-57e0-9188-706c89a156a1,2024-02-02 18:54:07 +B017TNJR72,https://www.amazon.com/dp/B017TNJR72,"Adeco Euro Style Fabric Arm Bench Chair Footstool Cubic Ottomans, Brown",Adeco Store,,,"['Home & Kitchen', 'Furniture']",https://m.media-amazon.com/images/I/41hUc8c+DCL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41hUc8c+DCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51piafdI5kL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wLHILheQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511+Ipu+JoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ylJmuu08L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/410g-p5P-7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wLHILheQL._SS522_.jpg']",,No,FT0048-2,"18""D x 18""W x 18""H","November 11, 2015",,Brown,Engineered Wood,Modern,[],,"['MATERIAL:made of fabric and wood. ', ' Dimensions:18 x 18 x 18 inches Storage Size:15 x 15 x 15 Inches ', ' 2 IN 1 Multi-functional TRAY: Double sided lid, it can be used as a coffee table and storage ottoman. ', ' STORAGE SPACE: Space Saving and Constructed for comfort, this Ottoman is truly Muti-functional. Comfortable enough to use as a side stool to sit on, sturdy enough to be an End table for your entertainment room, or even use it as a Nightstand for your Bed room. ', ' PERFECT FOR ANY ROOMS: ottoman can be used in bedroom, living room, family room, hallway as an entryway bench, foot stool.']",,"['Product Dimensions: 18""D x 18""W x 18""H', 'Color: Brown', 'Brand: Adeco', 'Fabric Type: Fabric', 'Base Material: Wood', 'Frame Material: Engineered Wood', 'Product Care Instructions: Wipe with Damp Cloth', 'Size: Cubic', 'Style: Modern', 'Item Weight: 12 pounds', 'Item model number: FT0048-2', 'Is Discontinued By Manufacturer: No', 'ASIN: B017TNJR72', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 43 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #3,163,525 in Home & Kitchen (See Top 100 in Home & Kitchen) #220,532 in Furniture', 'Date First Available: November 11, 2015']",90df9937-68f3-5bff-bda3-830c82b97f1d,2024-02-02 18:54:07 +B001AS8D82,https://www.amazon.com/dp/B001AS8D82,"Motiv 0202/PC Sine 18-In Towel Bar, Polished Chrome,,18"" Towel Bar",Motiv Store,$132.00,In Stock,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/31a6GfenW0L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31a6GfenW0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/3154r17BkvL._SS522_.jpg']",,No,0202/PC,3.4 x 19.8 x 1.8 inches,"June 6, 2008",China,"18"" Towel Bar",Brass,,[],"[{'Color': ' 18"" Towel Bar '}, {'Material': ' Brass '}, {'Finish Type': ' Chrome '}, {'Brand': ' Motiv '}, {'Shape': ' U-Shape '}]","['Keep your bathroom organized while achieving your personal design vision ', ' Facilitates fast towel drying by allowing proper air flow ', ' Solid brass construction delivers the utmost in beauty, durability, and long-lasting performance ', ' Includes durable mounting hardware for a secure installation ', "" Like all of Ginger luxurious accessory products, it's backed by a limited lifetime""]","Product Description The Sine collection is architectural in conception and form, with the sine symbol (~) deftly incorporated as its distinct accent. Forged in solid brass, the collection includes towel bars, toilet tissue holders, hooks, toiletry shelves, shower rods and hotel shelves, in addition to mirrors and sconce lighting. From the Manufacturer The Sine collection is architectural in conception and form, with the sine symbol (~) deftly incorporated as its distinct accent. Forged in solid brass, the collection includes towel bars, toilet tissue holders, hooks, toiletry shelves, shower rods and hotel shelves, in addition to mirrors and sconce lighting.","['Manufacturer: Motiv', 'Part Number: 0202/PC', 'Item Weight: 2.6 pounds', 'Product Dimensions: 3.4 x 19.8 x 1.8 inches', 'Country of Origin: China', 'Item model number: 0202/PC', 'Is Discontinued By Manufacturer: No', 'Size: Polished Chrome', 'Color: 18"" Towel Bar', 'Finish: Chrome', 'Material: Brass', 'Shape: U-Shape', 'Item Package Quantity: 1', 'Included Components: Towel Bar', 'Batteries Included?: No', 'Batteries Required?: No', 'Warranty Description: Limited Warranty', 'ASIN: B001AS8D82', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 8 ratings \n\n\n 4.8 out of 5 stars', 'Best Sellers Rank: #1,033,515 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #3,882 in Bath Towel Bars', 'Date First Available: June 6, 2008']",42c2f7d8-e5c1-5a0d-b544-99186f79754c,2024-02-02 18:54:08 +B08WF83LMF,https://www.amazon.com/dp/B08WF83LMF,"Imports Décor PVC Backed Coir Doormat, Eighth Note Welcome, 18""x30""",Imports Décor,,,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51H9lDOICrL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51H9lDOICrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414DYCo9-1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41DrSKZcz+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31EPxi+cQgL._SS522_.jpg']",,Imports Décor,576PVC,"30""L x 18""W",,,Black and Beige,Vinyl,Art Deco,[],"[{'Brand': ' Imports Décor '}, {'Material': ' Coir '}, {'Pile Height': ' Low Pile '}, {'Construction Type': ' Handmade '}, {'Back Material Type': ' Vinyl '}]","['Lovely doormat shows off your love of music with eighth note design ', ' 100-percent coir fiber ', ' Vinyl backing prevents skidding ', ' Ideal for moderate to heavy-use traffic areas ', ' Measures 18-inch by 30-inch']","Welcome guests on a musical note with this Eighth Note Welcome doormat by Import's Decor. Our coir doormats are constructed from the best quality coir and printed with water-based colors. Coir is the natural fiber extracted from the husk of Coconuts. Coir fiber is relatively waterproof, has superior scrubbing power and is resistant to the elements. The vinyl backing provides reinforcement and prevents the doormat from skidding. With a coir doormat from Imports Decor, you can feel confident dirt and debris will be left at the front door and not in your home.","['Brand: Imports Décor', 'Material: Coir', 'Pile Height: Low Pile', 'Construction Type: Handmade', 'Back Material Type: Vinyl', 'Color: Black and Beige', 'Indoor/Outdoor Usage: Outdoor', 'Theme: Music', 'Is Stain Resistant: No', 'Pattern: Letter Print', 'Shape: Rectangular', 'Special Feature: Non Slip', 'Product Dimensions: 30""L x 18""W', 'Rug Form Type: Doormat', 'Style: Art Deco', 'Number of Pieces: 1', 'Item Thickness: 0.5 Inches', 'Item Weight: 4.62 pounds', 'Manufacturer: Imports Décor', 'ASIN: B08WF83LMF', 'Item model number: 576PVC', 'Best Sellers Rank: #154,571 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #1,947 in Outdoor Doormats']",d7ff0631-4ccc-5b95-b1d7-c41b37cbe727,2024-02-02 18:54:08 +B09DGFRM4B,https://www.amazon.com/dp/B09DGFRM4B,"Croydex Chester Square Flexi-Fix Wall Mounted Bathroom Tilt Mirror, 14.96in x 14.96in x 3.4in, Chrome",Croydex Store,$90.00,Only 1 left in stock - order soon.,"['Home & Kitchen', 'Bath', 'Bathroom Accessories', 'Bathroom Mirrors']",https://m.media-amazon.com/images/I/41sDO1HW2cL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41sDO1HW2cL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21WPGP7WJJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/214S95u4GnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21Ato6NUmrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21juphUZ2TL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21F+EJ5CISL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qi5xx3Z5L._SS522_.jpg']",,Croydex,QM441041AZ,3.54 x 14.96 x 14.96 inches,,,Silver,,,[],,"['Zinc Alloy, Glass ', ' EASY TO FIT – unique bracket allows you to reuse old drill holes ', ' DURABLE zinc alloy construction ', ' HIGH QUALITY chrome plated finish ', ' All hardware included.']","Our Chester tilt mirror complements geometric bathroom designs, adding a bold, contemporary feel to your bathroom décor. Adding a mirror creates an essential focal point to your overall bathroom design. Maximizing available light, mirrors make spaces brighter and more inviting, even making smaller rooms feel more spacious. With two easy ways to fit, refreshing your bathroom is a breeze with Flexi Fix accessories! The award-winning, innovative ‘no drills’ solution, Flexi Fix can reuse most screw fittings from your old accessories. Or you can drill new holes if you prefer. How you fit Flexi Fix is completely up to you! By simply updating your bathroom accessories and linen colors, you can completely reimagine your bathroom on a budget. With a full range of complementary easy to fit accessories available, why not start that bathroom makeover now?!","['Auto Part Position: Left, Right', 'Item Dimensions LxWxH: 3.54 x 14.96 x 14.96 inches', 'Brand: Croydex', 'Color: Silver', 'Mounting Type: Wall Mount', 'Included Components: Accessory, fittings, instruction leaflet', 'Special Feature: Unique X Plate for easy fitting, Chrome plated', 'Item Weight: 4.78 Pounds', 'Operation Mode: Manual', 'Shape: Square', 'Lens Curvature Description: Convex', 'Product Dimensions: 3.54 x 14.96 x 14.96 inches', 'Item Weight: 4.78 pounds', 'Manufacturer: Croydex', 'ASIN: B09DGFRM4B', 'Item model number: QM441041AZ', 'Best Sellers Rank: #5,167,512 in Home & Kitchen (See Top 100 in Home & Kitchen) #7,842 in Bathroom Mirrors', 'Fabric Type: Zinc Alloy, Glass', 'Care instructions: Wipe clean with damp cloth, do not use harsh chemicals', 'Assembly required: No', 'Number of pieces: 1', 'Batteries required: No']",9e04c6fa-668b-5bcf-8201-9d947210889f,2024-02-02 18:54:09 +B09FR4XSCT,https://www.amazon.com/dp/B09FR4XSCT,itbe Easy Fit Ready-to-Assemble Multipurpose One Door Wall Steel Cabinet Space Organizer (Blue),itbe Store,,,"['Home & Kitchen', 'Furniture', 'Accent Furniture', 'Storage Cabinets']",https://m.media-amazon.com/images/I/21NWASZgUVL._SS522_.jpg,"['https://m.media-amazon.com/images/I/21NWASZgUVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31GQkrBv6fL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21WZKaJN5gL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21RmDe3Y+GL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31YR01bzAoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/310qo+NZn8L._SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,itbe,3500001734,"11.22""D x 13.77""W x 25.19""H","August 11, 2021",,Blue,Alloy Steel,Flat Panel,[],,"['11.22"" L × 13.77"" W × 25.19"" H ', ' Maximum distributed weight supported per shelf: 22 lb. ', ' Organize your belongings with quality and space, with the One-Door Floating Space Organizer Steel Cabinet in black and gray; black and orange; blue or in white. ', ' Made of steel for durable day-to-day use. ', ' Removable shelf for you to adjust and make the most of your space, the way that works for you.']",,"['Brand: itbe', 'Color: Blue', 'Recommended Uses For Product: Tools', 'Product Dimensions: 11.22""D x 13.77""W x 25.19""H', 'Special Feature: Durable,Removable', 'Mounting Type: Wall Mount', 'Room Type: Home Office', 'Door Style: Flat Panel', 'Weight Limit: 22 Pounds', 'Included Components: Shelves', 'Finish Type: Powder Coated', 'Size: 11.22"" L × 13.77"" W × 25.19"" H', 'Number of Shelves: 1', 'Base Type: Pedestal', 'Back Material Type: Alloy Steel', 'Assembly Required: Yes', 'Item Weight: 13.67 pounds', 'Manufacturer: itbe', 'ASIN: B09FR4XSCT', 'Item model number: 3500001734', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 38 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #753,913 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,454 in Storage Cabinets', 'Date First Available: August 11, 2021']",9b0e0b55-3984-5624-9bb6-3552bb4d262f,2024-02-02 18:54:09 +B09LVSZRZS,https://www.amazon.com/dp/B09LVSZRZS,Delta ARV18-DN Arvo 18-in Wall Mount Towel Bar with 6-in Extender Bath Hardware Accessory in Brushed Nickel,Delta,,In Stock,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/11zzs81fXBL._SS522_.jpg,"['https://m.media-amazon.com/images/I/11zzs81fXBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/415W0NWrn4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31o498cFHFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21WTgM5RgyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41udpUao-HL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41HzmDsO08L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51uVUbnEooL.SS125_SS522_.jpg']",,Liberty Hardware,ARV18-DN,"22.72""L x 3.31""W x 1.89""H","November 29, 2021",China,Spotshield Brushed Nickel,Multiple Base Materials,"18"" Towel Bar with 6"" Extender",[],"[{'Color': ' Spotshield Brushed Nickel '}, {'Material': ' Multiple Base Materials '}, {'Product Dimensions': ' 22.72""L x 3.31""W x 1.89""H '}, {'Finish Type': ' Brushed '}, {'Brand': ' Delta '}, {'Installation Type': ' Screw-In '}, {'Shape': ' Straight '}]","['BATH HARDWARE: SpotShield brushed nickel 18-in towel bar with 6-in extension for the bathroom ', ' FINISH: SpotShield brushed nickel is a spot-resistant, warm, muted silver finish with earthy undertones ', ' KEEP IT CLEAN: SpotShield technology keeps hardware cleaner for longer by resisting water spots, fingerprints, and stains ', ' DURABLE: Crafted from multiple metals for strength and reliability ', ' DIMENSIONS: Towel bar without the extender measures 1.89-in H x 22.72-in L and 3.31-in D including the extender ', ' EASY INSTALL: All mounting hardware, template, and instructions provided ', ' COORDINATE: Complete your look with the coordinating Arvo Bath Collection of accessories (sold separately) ', ' WARRANTY: Enjoy the look you love for life with Delta’s Limited Lifetime Warranty']","The fluid lines of the Delta Arvo Bath Collection bring a delicate, serene look to the bath, while providing wall-mounted storage. This design pairs effortlessly with contemporary and modern home design. This 18-in wall mount towel bar features a 6-in extender piece allowing you to extend the bar from 18 to 24-in to accommodate a large towel or several hand towels. Complete your space with coordinating pieces from the full collection (sold separately).","['Color: Spotshield Brushed Nickel', 'Material: Multiple Base Materials', 'Product Dimensions: 22.72""L x 3.31""W x 1.89""H', 'Finish Type: Brushed', 'Brand: Delta', 'Installation Type: Screw-In', 'Shape: Straight', 'Manufacturer: Liberty Hardware', 'Part Number: ARV18-DN', 'Item Weight: 11.8 ounces', 'Country of Origin: China', 'Item model number: ARV18-DN', 'Style: 18"" Towel Bar with 6"" Extender', 'Finish: Brushed', 'Item Package Quantity: 1', 'Included Components: 18 inch Towel Bar, Posts, Installation Instructions, Installation Hardware', 'Batteries Required?: No', 'Warranty Description: Limited Lifetime Warranty', 'ASIN: B09LVSZRZS', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 129 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #19,130 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #348 in Bath Towel Bars', 'Date First Available: November 29, 2021']",e1b2c330-c5aa-5a67-9320-39fdee20e34d,2024-02-02 18:54:10 +B08VWTB8CH,https://www.amazon.com/dp/B08VWTB8CH,"Bamboo Waste Basket | Waste Basket for Bathroom | Waste Basket for Office | Bathroom Trash Can | Bedroom Trash Can | Trash Can Small Wastebasket Bamboo Decor (1, 12"" x 6.5"" x 15.3"")",Cabot & Carlyle Store,$39.97,In Stock,"['Home & Kitchen', 'Storage & Organization', 'Trash, Recycling & Compost', 'Wastebaskets']",https://m.media-amazon.com/images/I/318RY00VlIL._SS522_.jpg,"['https://m.media-amazon.com/images/I/318RY00VlIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41vdgy5SDaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41h09tG2dKL._SS522_.jpg']",,,,,,,,,,[],"[{'Brand': ' Cabot & Carlyle '}, {'Capacity': ' 6.45 Gallons '}, {'Color': ' Bamboo '}, {'Opening Mechanism': ' Open-Top '}, {'Material': ' Bamboo '}, {'Recommended Uses For Product': ' Bathroom,Kitchen,Office '}, {'Room Type': ' Bathroom,Bedroom,Kitchen,Laundry Room,Living Room,Office,Room '}, {'Special Feature': ' Waterproof '}, {'Shape': ' Rectangular '}, {'Item Weight': ' 2.16 Kilograms '}]","['Bamboo waste basket fits perfectly into many spaces around the house: bathroom, kitchen, bedroom, laundry room, office and convenient modern waste disposal, SIZE: 15"" x 6.5"" x 15.3"" ', ' Office trash, recycling basket, storage basket for accessories set cleaning supplies excellent quality ', ' We use real bamboo, strong and waterproof, great for daily use and its easy to clean ', ' Makes for a great gift this modern bin can be used in the bathroom, dinning room, living room and bedroom, bringing an elegant atmosphere effect to any room ', ' Manufactured upholding the excellent quality control, materials and standards.']",,[],95c4f44f-0f83-5c3b-8a4a-c41fa91f5150,2024-02-02 18:54:10 +B075M1PKSW,https://www.amazon.com/dp/B075M1PKSW,Way Basics Vinyl Record Storage - 2 Tier Book Shelf Turntable Stand (Fits 170 Albums),Way Basics Store,$68.99,Only 2 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Bookcases, Cabinets & Shelves']",https://m.media-amazon.com/images/I/41YMttt7a5L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41YMttt7a5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51yzeLq7dPS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31jJ0Zmz2qL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51N2ybo4P5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51giPvYTs+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61iF5dOPu0L.SS125_SS522_.png ', ' https://m.media-amazon.com/images/I/51j5DYE3CCL.SS125_SS522_.jpg']",,No,Vinyl Record Storage -,"14.2""D x 18""W x 29.1""H","September 13, 2017",Taiwan,White,Recycled Material,Modern,[],"[{'Material': ' Recycled Material '}, {'Color': ' White '}, {'Special Feature': ' Space Saving '}, {'Product Dimensions': ' 14.2""D x 18""W x 29.1""H '}, {'Shelf Type': ' vinyl record storage cube '}]","[""IT'S NOT WOOD; IT'S BETTER - Made with eco-friendly and sustainable zBoard, non-toxic and free of formaldehyde & VOC. "", ' TOOL FREE ASSEMBLY - Easy to assemble, no tools required, just peel the 3M adhesive strips and put together with easy-align pins ', ' STRONG and DURABLE - Maximum load 30 lbs (recommended); Made to stand upright, do not place on side or back ', ' DIMENSIONS - Exterior D : 14.2"" W : 18.0"" H : 29.1"" Interior D : 13.6"" W : 16.4"" H : 13.4""']","Way Basics has come up with a modern way to organize a not so modern item! The 2 Shelf Cube is made to fit vinyl records. With tons of space, you can now organize your record collection and do so in a fashionable, simply and modern way. This 2 Shelf Cube in white is made out of zBoard, a sustainable and strong patented material that is eco-friendly and safe for your home. Way Basics uses a 3M industrial adhesive instead of hardware. which means no tools are required. No handy man needed, assembly is easy! Oh and disco ball not included.","['Material: Recycled Material', 'Color: White', 'Special Feature: Space Saving', 'Product Dimensions: 14.2""D x 18""W x 29.1""H', 'Shelf Type: vinyl record storage cube', 'Number of Shelves: 2', 'Room Type: Living Room', 'Finish Type: Veneer', 'Assembly Required: Yes', 'Mounting Type: Floor Mount', 'Recommended Uses For Product: Storage', 'Included Components: Alignment pins, adhesive tapes, zBoard', 'Item Weight: 11.9 Pounds', 'Brand: Way Basics', 'Style: Modern', 'Shelf Weight Capacity: 30 Pounds', 'Item Weight: 11.9 pounds', 'Country of Origin: Taiwan', 'Item model number: Vinyl Record Storage -', 'Is Discontinued By Manufacturer: No', 'Weight: 11.9 Pounds', 'ASIN: B075M1PKSW', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 2,254 ratings \n\n\n 4.1 out of 5 stars', ""Best Sellers Rank: #83,261 in Home & Kitchen (See Top 100 in Home & Kitchen) #40 in Kids' Bookcases, Cabinets & Shelves #711 in Accent Furniture"", 'Date First Available: September 13, 2017']",e092329c-8feb-545c-be6e-1c3f06da4dc3,2024-02-02 18:54:11 +B0BWRVGQRM,https://www.amazon.com/dp/B0BWRVGQRM,"TocTen Double Bath Towel Bar - Thicken SUS304 Stainless Steel Towel Rack for Bathroom, Bathroom Accessories Double Towel Rod Heavy Duty Wall Mounted Square Towel Holder (Matte Black,24 INCH)",TocTen Store,$27.99,In Stock,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/41cFJKXyA5L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41cFJKXyA5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31-sIFbf01L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41rkPgjGdoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41CB1B057aL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41K4nD2UUwL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Ckf5wT45L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61ag3XTXwDL.SS125_SS522_.jpg']",,TocTen,,"23.63""L x 3.55""W x 5.4""H","February 24, 2023",,Matte Black,Stainless Steel,,[],"[{'Color': ' Matte Black '}, {'Material': ' Stainless Steel '}, {'Product Dimensions': ' 23.63""L x 3.55""W x 5.4""H '}, {'Finish Type': ' Matte Black '}, {'Brand': ' TocTen '}, {'Installation Type': ' Wall-Mounted '}, {'Shape': ' Square '}]","['【SAVING SPACE & FASHION DESIGN】: You can get bath towel rail with double rods, which are very flexible to use. There are double rods to maximize the use of your wall and storage twice as much stuff. Fashion design suitable for installation in bathrooms, kitchens, entrances, wardrobes, back doors, etc. ', ' 【HIGH and LOW ROD DESIGN】: The double towel hanger total length is 24 inches. Long enough for you to hang 2 bath towel or even 4 hand towels at the same time. Staggered rod design, the distance between the two rods is wider, not only dries the towel quickly, but also allows you to hang and remove them easily. ', ' 【DURABLE & THICKEN MATERIAL】 -- Very heavy duty bathroom towel holder are connected by sturdy square base. Concealed screw wall mounted towel hanger design makes the product look more beautiful and modern, adds 4 protection layers on stainless steel thicken material surface. Never get rust or paint off. We care about every details, the welding part of the product is polished by multiple processes. ', ' 【VERSATILE & EASY TO INSTALL】 -- Only one double towel rod can make your bathroom and kitchen look more elegant and tidy. We provide all the screw accessories needed for installation in the package. There is no need to worry about installation, we will give you an installation instruction manual, otherwise you can email us for an installation video. ', ' 【CLICK ADD TO CART NOW】 -- We believe that the main reason to retain customers is always quality, not just price. So we attach great importance to the quality of each product, please rest assured. 100% customer satisfaction is our aim. Products are inspected strictly many times to ensure that there are no quality problems before they are on store.']",,"['Color: Matte Black', 'Material: Stainless Steel', 'Product Dimensions: 23.63""L x 3.55""W x 5.4""H', 'Finish Type: Matte Black', 'Brand: TocTen', 'Installation Type: Wall-Mounted', 'Shape: Square', 'Item Weight: 1.7 pounds', 'Manufacturer: TocTen', 'ASIN: B0BWRVGQRM', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 82 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #41,591 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #183 in Bath Towel Bars', 'Date First Available: February 24, 2023']",0a8d1a88-cead-55fe-a935-eca4807430db,2024-02-02 18:54:12 +B0CB7SG59J,https://www.amazon.com/dp/B0CB7SG59J,"MoNiBloom Adjustable Bar Stools Set of 2, 360° Swivel Counter Height Barstool Kitchen Counter Island Dining Chair, Dark Grey PU Leather Bistro Swivel Stool for Living Room Kitchen, 250 lbs Capacity",MoNiBloom Store,$55.00,Only 1 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/41jD28iN4bL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41jD28iN4bL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51hip63NhYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41t3Y06qcvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41lXQBqZhqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41bDZO0Qz2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Q3UImdzqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/91l+VAPadIL.SS125_SS522_.png']",,MoNiBloom,A02-ST-012-2P-DG-CH,"15""D x 18""W x 39""H",,China,Dark Grey,,Straight,[],,"['360-Degree Swivel Seat - The innovative swivel design and integrated footrest ensure effortless movement and unparalleled comfort while seated, allowing you to easily rotate in any direction with grace. ', ' Durable Gas-Lift Mechanism - Seamlessly adjust the height of this versatile barstool from counter to bar height, effortlessly accommodating various dining tables, bar tables, or kitchen islands, for a customized and convenient seating experience. ', ' Durable Leather Upholstery - Crafted from high-quality leather, known for its longevity, this barstool exhibits a natural patina that only gets more alluring with time, adding a touch of elegance and sophistication to any space. ', ' Unmatched Comfort and Support - Engineered with medium-firm upholstery foam, this barstool offers the perfect balance of comfort and support. Designed to cradle your body gently, it evenly distributes your weight and relieves pressure, ensuring a pleasurable seating experience. ', "" Quick and Effortless Assembly - The package includes all the necessary installation tools, making the assembly process a breeze. With clear instructions, you'll have each barstool assembled in a mere 5 minutes, saving you time and effort.""]",,"['Product Dimensions: 15""D x 18""W x 39""H', 'Color: Dark Grey', 'Brand: MoNiBloom', 'Style: Modern', 'Furniture Finish: Painted', 'Seat Height: 22 Inches', 'Leg Style: Straight', 'Product Care Instructions: Wape with Damp Cloth', 'Number of Pieces: 2', 'Item Weight: 32.5 pounds', 'Manufacturer: MoNiBloom', 'ASIN: B0CB7SG59J', 'Country of Origin: China', 'Item model number: A02-ST-012-2P-DG-CH', 'Best Sellers Rank: #4,024,862 in Home & Kitchen (See Top 100 in Home & Kitchen) #8,367 in Barstools']",db5c35ba-437d-5200-9a51-f803a8393aef,2024-02-02 18:54:12 +B0C3QDL2XW,https://www.amazon.com/dp/B0C3QDL2XW,"LANTEFUL Shoe Rack Organizer Shoe Storage Cabinet 8 Tiers 32 Pair Portable Shoe Storage Sturdy Plastic Black Shoe Shelf with Hooks Shoe Rack with Door for Entryway, Bedroom and Hallway",LANTEFUL Store,$49.99,Only 13 left in stock - order soon.,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Free Standing Shoe Racks']",https://m.media-amazon.com/images/I/51e8SrHHW3L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51e8SrHHW3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515gTGHew0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gT2G3sHKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/516bDv62efL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51om73OX-QL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51LG6-6JfeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/610Jk5Ote5L.SS125_SS522_.jpg']",,LANTEFUL,XJ-009,"12""D x 32""W x 48""H","March 15, 2023",China,Black,,free standing shoe racks,[],,"['Metal and Pp ', ' 【Large Capacity 32 Pairs Shoe Storage】Size: 32""(W) x 12""(D) x 48""(H)，The 8 tiers Portable shoe rack for entryway can hold 32 pairs of shoes. The shoe storage can store all kinds of shoes, also be a great closet storage organizer for your books and other stuff. The simple and elegant black design of shoe organizer makes your home look neat and clean, making it a great shoe rack for closet, cabinet, wardrobe, entryway and bedroom. ', ' 【Sturdy Material & Compact Structure】The shoe rack organizer with door is made of the metal frame and environmentally friendly, harmless and durable PP material, the maximum load capacity of each cube: 11lbs. The Portable shoe storage has the characteristics of firmness, stability and long life. The tall shoe rack with 10 hooks can be used to hang keys, umbrellas, bags, etc., which is very practical. ', ' 【Thoughtful Excellent Design】1.The shoe rack organizer with door is effectively waterproof, dustproof, and easy to clean. 2.Modular design, the high heels can be placed very smoothly without falling. 3.The clear door helps you find your shoes quickly at a glance, 4.The door hole feature is designed for air circulation to prevent odor build-up. 5.The door opening design on the left side is easy to take without holding the door frame with one hand. 6.You can remove the dividers to fit the boots. ', ' 【Easy DIY Assembly】The entryway shoe rack with doors can be easily assembled and disassembled in a short time. Provide a detailed installation manual and installation video, use the attached small wooden hammer to connect the connector and the module tightly together, you can split or combine it into the shape you need to suit your needs. ', ' 【Worry-Free Service】If there are any quality problems and problems with our free standing black shoe racks after purchase, please contact the after-sales service, we will provide you with free parts, replace it with new ones or refund according to the situation.']",,"['Room Type: Garage, Closet, Living Room, Bedroom, Hallway', 'Number of Shelves: 16', 'Special Feature: Waterproof, Space Saving, Rust Proof, Stackable, Durable', 'Product Dimensions: 12""D x 32""W x 48""H', 'Style: 32 Pair', 'Age Range (Description): Adult', 'Finish Type: Lacquered', 'Brand: LANTEFUL', 'Product Care Instructions: Wipe with Dry Cloth', 'Size: 32 Pair', 'Weight Limit: 150 Pounds', 'Assembly Required: Yes', 'Recommended Uses For Product: shoes，clothes，bags, toys, towels, sundries, books, plants, keys, umbrellas, and small accessories', 'Number of Items: 1', 'Manufacturer: LANTEFUL', 'Included Components: Connectors, Metal Hook, Panels, Hammer, Buckles', 'Model Name: Cab-8', 'Furniture Finish: Metal', 'Installation Type: Freestanding', 'Min. Required Door Width: 30 Centimeters', 'Back Style: free standing shoe racks', 'Specific Uses For Product: Shoes, Books', 'Unit Count: 1.00 32 Pairs', 'Product Name: Shoe Organizer for Closets, Shoe Rack with doors, 8 Tiers Shoe Rack, Shoe Rack Organizer, Shoe Rack with cover', 'Part Number: XJ-009', 'Item Weight: 16.76 pounds', 'Country of Origin: China', 'Item model number: XJ-009', 'Color: Black', 'Finish: Lacquered', 'Item Package Quantity: 1', 'Number Of Pieces: 1', 'Maximum Weight Capacity: 150 Pounds', 'Special Features: Waterproof, Space Saving, Rust Proof, Stackable, Durable', 'Batteries Included?: No', 'Batteries Required?: No', 'Warranty Description: 18 months.', 'ASIN: B0C3QDL2XW', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 149 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #126,328 in Home & Kitchen (See Top 100 in Home & Kitchen) #375 in Free Standing Shoe Racks', 'Date First Available: March 15, 2023']",122c5c2a-5490-51ce-8555-9526c9698a38,2024-02-02 18:54:13 +B0CBRGS5D7,https://www.amazon.com/dp/B0CBRGS5D7,"ANDY STAR 24x32 INCH Brushed Nickel Mirror, Rounded Rectangle Silver Metal Framed Mirrors for Bathroom Anti-Rust SUS304, Tube Metal Frame, 1’’ Deep Wall Mounted Vertically/Horizontal",ANDY STAR Store,$179.99,Only 15 left in stock - order soon.,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/41MQWfATggL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41MQWfATggL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VUKKurk7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41LWcO1xszL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41o9as99mDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51WtSDPoO7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Z8oRP0qOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/91zG7kbv+2L.SS125_SS522_.jpg']",,,,"32""L x 24""W",,,Brushed Nickel,Stainless Steel,,[],"[{'Brand': ' ANDY STAR '}, {'Room Type': ' Bathroom, Vanity Room, Dining Room,Living Room '}, {'Shape': ' Rectangular '}, {'Product Dimensions': ' 32""L x 24""W '}, {'Frame Material': ' Stainless Steel '}]","['Medium Size Ideal for Bathroom: At 24x32 inches, our satin nickel rectangle mirror is an ideal size for your bathroom. The modern sophistication of the brushed nickel finish and unique rounded frame design make this rounded corner mirror perfect for any decor style, from modern to farmhouse to rustic. ', ' Clear Reflection & No Distortion: Enjoy distortion-free, High Definition reflection with our nickel vanity mirror, backed by our free replacement guarantee if any distortion does occur ', ' Unique Design: Upgrade your space with a brushed nickel mirror in a contemporary rounded rectangle shape, featuring a one-of-a-kind metal frame that cannot be found in alloy. This mirror is a long-lasting, eye-catching statement piece. ', ' Premium Quality: Our rustproof metal frame and shatterproof 4mm HD glass supported by a 9mm MDF backboard make for a safe and timeless bathroom vanity mirror that weighs in at 22lbs. ', ' Easy Installation: Install our brushed nickel bathroom mirror with ease using the four pre-installed D-ring hanging clips and updated hooks with a weight limit of 50kgs. A detailed reference video makes installation quick and easy.']",,"['Room Type: Bathroom, Vanity Room, Dining Room,Living Room', 'Mounting Type: Wall Mount', 'Special Feature: Moisture Resistant, Shatterproof', 'Frame Type: Framed', 'Frame Material: Stainless Steel', 'Finish Type: Brushed', 'Material: Stainless Steel', 'Product Dimensions: 32""L x 24""W', 'Assembly Required: Yes', 'Customer Reviews: 4.9 4.9 out of 5 stars \n 154 ratings \n\n\n 4.9 out of 5 stars', 'Best Sellers Rank: #38,986 in Home & Kitchen (See Top 100 in Home & Kitchen) #75 in Wall-Mounted Mirrors', 'Brand: ANDY STAR', 'Number of Pieces: 1', 'Number of Items: 1', 'Shape: Rectangular', 'Color: Brushed Nickel', 'Theme: Contemporary']",837097bd-af65-56a4-a926-2a38acbf0e01,2024-02-02 18:54:13 +B01D378FYE,https://www.amazon.com/dp/B01D378FYE,"MJL Furniture Designs Upholstered Cubed/Square Olivia Series Ottoman, 17"" x 19"" x 19"", Smoke Grey",MJL Furniture Designs Store,,Usually ships within 3 to 5 days,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/410tv-zDYXL._SS522_.jpg,"['https://m.media-amazon.com/images/I/410tv-zDYXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gxoVnot9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41pZMkhstlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51zCu08OQbL._SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,MJL Furntiure Designs,Merton-T2OliSmoke,"19""D x 19""W x 17""H",,USA,Smoke Grey,Wood,Contemporary,[],,"['100% Polyester ', ' Imported ', ' IMMACULATE PROPORTIONS: Each Button Tufted Cube Ottoman Measures 17""H x 19""L x 19""W and Weighs 15 LBS. Ottomans Arrive Fully Assembled. ', ' STURDY AND STYLISH: The Modern, Fabric Ottoman is Constructed with a Sturdy, Unyielding Wooden Frame. The Square Legs of the Ottoman Feature an Elegant, Espresso Finish. ', ' VALUE AND MAGNIFICENCE: A Generous 250 LB Weight Capacity in Conjunction With Ample Foam Cushioning, Allows for Comfortable Seating on This Foot Rest Ottoman. ', ' DETAILED LUXURY: Each Fabric Cube Ottoman is Carefully Button Tufted and Upholstered by Skilled Hands Using Luxurious, 100% Polyester. ', ' EXPERIENCE MEETS QUALITY: MJL Furniture Designs Uses Over 45 Years of Combined Experience To Design and Craft Quality Furniture in the United States, Using Superior Woods and the Finest Fabrics.']","The Merton Collection by MJL Furniture Designs is a collection of stunning and elegant modern cube ottomans, featuring flawless design and magnificent craftsmanship. Each tufted, foot rest ottoman is carefully designed and constructed by highly skilled and experienced hands, resulting in some of the finest pieces the industry has to offer. The Meron upholstered ottoman measures 17""W x 19""D x 19""H and weighs 15 lbs. Upon delivery of these ottomans no assembly is required. The square, tufted ottoman is expertly constructed using the most resilient and enduring woods and features fashionable, espresso finished, square legs. The ottomans are then carefully upholstered with the softest, most luxurious fabrics and elegantly button tufted. A generous variety of utterly alluring colors and patterns are available to adorn this upholstered cube ottoman. MJL Furniture Designs crafts and designs luxurious furniture using the finest, most resilient woods and soft, elegant fabrics. A combined 45 years of expertise, talent and experience ensures the impeccable and flawless nature of every MJL product. Every piece is proudly conceived, designed and manufactured in California, U.S.A.","['Product Dimensions: 19""D x 19""W x 17""H', 'Color: Smoke Grey', 'Brand: MJL Furniture Designs', 'Fabric Type: 100% Polyester', 'Base Material: Wood', 'Frame Material: Wood', 'Product Care Instructions: Wipe with Damp Cloth', 'Maximum Weight Recommendation: 250 Pounds', 'Assembly Required: No', 'Size: 17"" x 19"" x 19""', 'Style: Contemporary', 'Item Weight: 15 pounds', 'Manufacturer: MJL Furntiure Designs', 'ASIN: B01D378FYE', 'Country of Origin: USA', 'Item model number: Merton-T2OliSmoke', 'Customer Reviews: 3.4 3.4 out of 5 stars \n 4 ratings \n\n\n 3.4 out of 5 stars', 'Best Sellers Rank: #1,172,772 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,628 in Ottomans', 'Batteries required: No', 'Import: Imported']",ed575bc1-c87c-51f4-b34b-a7b64b1b70f3,2024-02-02 18:54:14 +B0CKPFKDZY,https://www.amazon.com/dp/B0CKPFKDZY,Cpintltr Small Foot Stool Ottoman Modern Accent Step Stool Seat with Solid Wood Legs Velvet Soft Padded Pouf Ottomans Sofa Footrest Stools for Couch Living Room Bedroom Entryway (Green 2 PCS),Cpintltr Store,$49.99,Only 8 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/51CjfUJVuLL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51CjfUJVuLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515lf+4Om7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51O0yWIL9EL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Tt1bVoxhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61ZHCQUnchL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51w+ViQkUEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ZsA0qaA-L.SS125_SS522_.jpg']",,Cpintltr,,"11""D x 16""W x 10""H","October 8, 2023",China,Green,Pine,,[],,"['🌈【Comfortable Stool】Crafted with a velvet fabric, the foot stool has a thick cushion and solid wood legs, giving it a cozy and stylish look. It comes in 10 colors, including Black, White, Grey, Pink, Beige, Teal, Green, Purple, Brown, and Yellow, to match any decor. The neat square quilting line adds a luxurious touch to the footstool, making it perfect for any room. ', ' 🌈【Sturdy Wooden Stool】The velvet fabric is soft and durable, the solid pine legs are sturdy and the frame is strong,maximum weight capacity 350 lbs,making the footstool perfect for long-lasting use and enjoyment. ', ' 🌈【Multifunctional Stool】Measuring 16in*11in*10in, It is a great addition to any living room, bedroom, office, or den, providing extra seat,ottoman, foot rest, or step stool. It is also a great piece of furniture for the somebody to use while they are doing their homework or playing games. ', ' 🌈【Easily Assemble】Assembly of the footstool is easy and straightforward. Just installing four legs,not need any tool,and it only takes a few minutes to put together. The non-slip feet add extra stability and safety, preventing it from sliding around or toppling over. ', ' 🌈【After-sale Services】The step stool is backed by an after-sale service, providing customers with peace of mind. Any questions or concerns about the product can be quickly resolved,we will refund,return,or resend a new one and so on.']",,"['Product Dimensions: 11""D x 16""W x 10""H', 'Color: Green', 'Brand: Cpintltr', 'Fabric Type: Velvet', 'Base Material: Wood', 'Frame Material: Pine', 'Seat Height: 10 Inches', 'Maximum Weight Recommendation: 300 Pounds', 'Size: 2 PCS', 'Item Weight: 8 pounds', 'Manufacturer: Cpintltr', 'ASIN: B0CKPFKDZY', 'Country of Origin: China', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 78 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #66,439 in Home & Kitchen (See Top 100 in Home & Kitchen) #117 in Ottomans', 'Date First Available: October 8, 2023']",66299dbc-e3c2-52f8-88d7-2b0cba129172,2024-02-02 18:54:15 +B0CHVQ6BC5,https://www.amazon.com/dp/B0CHVQ6BC5,"YuiHome Extendable Round, Farmhouse 16"" Leaf Table for Dining Room, Kitchen,Natural Wood Wash",YuiHome,,Available to ship in 1-2 days,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Tables']",https://m.media-amazon.com/images/I/5175Qzg03LL._SS522_.jpg,"['https://m.media-amazon.com/images/I/5175Qzg03LL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Tr9d2Nc6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/510cFfGRghL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4151gQOJYlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31PyLHg-BGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51AjgZVRGKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51bqP+qvaRL._SS522_.jpg']",,,,"42""D x 42""W x 30""H",,,Natural Wood Wash,"Rubber Wood, Engineered Wood",Farmhouse,[],,"['【Elegant Round Dining Table】It is made of solid wood and has a simple surface, giving a natural feeling. The round table top and X-shaped base show the elegance and temperament. Whether you are having dinner with your family or holding a dinner party, this table will allow you to enjoy a good meal time. At the same time, it also provides 2 colors that are easy to match, adding some aesthetic design to your living room and dining room. ', ' 【Adjustable dining table length】Taking into account the use of different scenarios, the table adopts a flexible design and the length can be adjusted. The round table’s planked top is eased along the edges, then insert a leaf, it can extend to accommodate additional guests. Table expands from 42"" To 56"", seats up to 6. Product Collapsed Dimensions: 42""L x 42”W x 30”H, Extended: 58”L x 42”W x 30”H. Leaf Dimensions: 16""W x 42""L. ', ' 【High Quality Material】The top of this table is made of high-quality MDF and high-quality solid wood, and is decorated with acacia wood, which is very solid and durable. The chair legs are made of high-quality rubber wood, which can maintain excellent overall stability and durability at home. This table will let you enjoy for many years. Product Weight: 78 LBS. Weight Capacity: 300 LBS. ', ' 【Exquisite Workmanship And Easy Maintenance】The dining table with an X-shaped base and key through the tenon, as well as small wooden blocks at the edge of the table, makes the dining table more stable and durable. The solid rubber wooden leg of the dining table is equipped with a non slip mat, which can not only prevent slipping, but also protect the floor from scratches. The smooth and waterproof desktop can be easily cleaned with a simple wipe, which will save you cleaning time. ', ' 【Easy to Assemble】The dining table needs simple assembly, and the installation instruction manual will be provided with the product. Users can install all parts of the dining table as long as they follow the logical and clear instructions, without any errors. If the user prepares the drilling rig (not included), the installation process will be more smooth.']","This dining table with a round tabletop and X-shaped base, represents an elegant and temperament atmosphere.Moreover, the adjustable dining table length makes this dining set suitable for any size room. Description: Table: 42~58'' x 42''W x 30''H Weight Capacity of Table :300 LBS Material of Tabletop :MDF with Oak Veneer Material of Table Frame/Table Legs :Poplar Wood Finish :Veneer Oak Package Number :1 Assembly Required :20 min Place of Origin:Viet Nam Main Color:Natural Wood Wash Maintenance & Notice About Finish Liquids should be immediately blotted with a damp cloth. Do not use surface cleaners that could remove the finish. About Hardware Hardware may loosen over time; periodically check to make sure all connections are tight. About Fasteners Don't over-tighten fasteners, as this may cause distortion or breakage. About Upholstered Seat Blot spills immediately with a clean, colorfast towel. Spot clean with a damp cloth or sponge, gently blotting to remove excess water, then air dry. About Color Real Product's Color may be a little different from the image due to the lighting or monitor's display.","['Brand: YuiHome', 'Shape: Rectangular', 'Room Type: Kitchen, Dining Room', 'Included Components: Round Extendable Dining Table', 'Color: Natural Wood Wash', 'Finish Type: Veneer', 'Furniture Finish: Oak', 'Model Name: Round Extendable Dining Table', 'Model Number: Round Extendable Dining Table', 'Best Sellers Rank: #4,642,404 in Home & Kitchen (See Top 100 in Home & Kitchen) #4,448 in Kitchen & Dining Room Tables', 'Base Type: Leg', 'Product Dimensions: 42""D x 42""W x 30""H', 'Item Width: 42 inches', 'Size: Round Extendable Dining Table', 'Item Weight: 15 Pounds', 'Number of Items: 1', 'Frame Material: Wood', 'Top Material Type: Rubber Wood, Engineered Wood', 'Style: Farmhouse', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly']",91688563-4731-5976-bc36-85e98ca7ba1a,2024-02-02 18:54:15 +B0CBBV4S1P,https://www.amazon.com/dp/B0CBBV4S1P,"Ergonomic Office Chair,Office Chair, with Lumbar Support & 3D Headrest & Flip Up Arms Home Office Desk Chairs Rockable High Back Swivel Computer Chair White Frame Mesh Study Chair（All Black）",SCaua,$126.99,Only 4 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Chairs', 'Home Office Desk Chairs']",https://m.media-amazon.com/images/I/51vnoZERmPL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51vnoZERmPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41E1B87eV3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41K5zqe0H4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51kIhibjoQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5125LpE0DVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51zT1CKVYkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41E1B87eV3L._SS522_.jpg']",,No,BHY,"19.7""D x 20.5""W x 48""H","August 18, 2023",,All Black,Foam,With arms,[],,"[""[Unbeatable Value Guaranteed] Every Purchase Is A Significant Investment, Considering Your Comfort, Product Longevity, And Your Wallet. Offers An Unbeatable Deal That Includes 1* High-Value Ergonomic Chair, A 90-Day Free Return And Replacement Policy, And A 5-Year Assistance Service. We'Re Committed To Resolving Any Issues You May Encounter. "", ' [Promote Healthy Spinal Posture] Our Ergonomic Chair Provides Exceptional Support, Ensuring A Healthy Spine Posture Without Causing Strain Or Flattening Your Back. The Lumbar Support Offered Will Alleviate Back Pain, While The Adjustable Headrest Prevents Slouching And Shoulder Scrunching. Say Goodbye To Poor Posture! ', "" [Maximum Butt Comfort, Guaranteed] We Understand The Importance Of Comfort For Your Buttocks. That'S Why We'Ve Chosen High-Quality Padding And Breathable Materials To Prevent Degradation. Unlike Low-Quality Foam, Our Chairs Maintain Their Softness, Durability, And Support, Reducing Pressure On Your Hips And Tailbone. Our Mesh Fabric Wicks Moisture And Keeps You Cool. "", "" [Tailored For Your Perfect Fit And Feel] If You'Re Spending Long Hours In Your Chair, Adjustability Is Key. Our Chair Lets You Customize The Headrest Placement To Match Your Height. With A Pneumatic Adjustment Lever, You Can Raise Or Lower The Seat Effortlessly. The Adjustable Lumbar Support Protects Your Lower Back, And The Reclining & Rocking Features Relieve Pressure On Your Spinal Discs. "", "" [Sustainability Beyond First Impressions] Our Chairs Have Passed Rigorous Commercial Testing, Ensuring Reliability During Your Workdays. The High Back Office Chair'S Frame Is Crafted From Robust Nylon, Ideal For Chair Production. The Entire Base Is Constructed From High-Strength Metal, Providing The Chair With The Strength And Durability To Support Up To 300 Lbs For Many Years Of Extended Use. Invest In Lasting Quality.""]","Meet Theergonomic Chair - Your Go-To For Comfort, Durability, And Affordability. With One Top-Notch Chair, A 90-Day Return Policy, And Five Years Of Assistance, We'Ve Got You Covered.Our Chair Promotes A Healthy Posture, Offering Great Lumbar Support And An Adjustable Headrest To Keep You Comfortable.We'Ve Designed It For Lasting Comfort With Quality Padding And Breathable Materials, Reducing Pressure On Your Hips And Tailbone.You Can Personalize Your Experience With Adjustable Features, Like The Headrest, Seat Height, And Lumbar Support. It Even Reclines And Rocks For Added Relaxation.Our Chair Is Built To Last, Passing Commercial Tests For Reliability. With A Sturdy Frame And Base, It Can Support Up To 300 Lbs For Years To Come.In A Nutshell, Ergonomic Chair Is Your Answer For Comfort And Peace Of Mind. It'S Not Just A Chair; It'S Your Trusty Companion For Work And Relaxation, Delivering Unbeatable Comfort And Support.","['Brand: SCaua', 'Color: All Black', 'Product Dimensions: 19.7""D x 20.5""W x 48""H', 'Back Style: Solid Back', 'Special Feature: Adjustable', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office, Gaming', 'Maximum Weight Recommendation: 350 Pounds', 'Pattern: Solid', 'Finish Type: Painted', 'Room Type: Office', 'Age Range (Description): Adult', 'Included Components: Caster', 'Shape: Oval', 'Model Name: Charles', 'Arm Style: With arms', 'Surface Recommendation: Hard Floor', 'Form Factor: Ergonomic,Rocking', 'Fill Material: Foam', 'Item Weight: 24.3 pounds', 'Manufacturer: JIHAIBODA', 'ASIN: B0CBBV4S1P', 'Item model number: BHY', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 1 rating \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #1,803,808 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,445 in Home Office Desk Chairs', 'Is Discontinued By Manufacturer: No', 'Date First Available: August 18, 2023']",0583ef58-47cd-509b-9e6d-89a0ad8490b2,2024-02-02 18:54:16 +B084WLY61H,https://www.amazon.com/dp/B084WLY61H,"Kate and Laurel Celia Round Metal Foldable Accent Table with Tray Top, Black",Kate and Laurel Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/31ZMqrgDD8L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31ZMqrgDD8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41pSx2CNp6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31q+S1xCTeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31qbPInmD7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31e1RBF4KBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61ybSM+cCKL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/41PT7ejyT8L.SS125_SS522_.jpg']",,,,"14""D x 14""W x 25.75""H",,,Black,Iron,Modern,[],,"[""ELEGANT FINISH: The Celia Accent Table's sophisticated black finish and tray top will create a dramatic modern glam look in your contemporary or eclectic styled home "", ' CHIC STYLE: With beautifully elegant straight legs, a round tray tabletop surface, and the option to fold away for storage, this small pedestal table will be the perfect accent piece for almost any room ', ' CONVENIENT DESIGN: The easily removable 14-inch tray top adheres securely to the legs with magnets and the legs fold for easy storage. It stands 25.75 inches high ', "" PRACTICAL AND PORTABLE: Fold it up and take it with you and you'll be ready to serve in style at a wedding, party or casual get together "", ' QUALITY MATERIAL: This sturdy table is constructed of lightweight metal for lasting durability with a resilient finish. It has easy pop-up assembly and glides are already attached on the bottom of the legs for floor protection']","Next time you throw a party, do not worry about taking out those old wooden tray tables your parents passed down to you from their stuffy storage area. You now own these hip modern and functional metal tray tables! The Celia collection brings a pop of glamour to your home decor! This metal pop up end table is designed to be the perfect height to fit in a tight space next to a bed or alongside a sofa. It also makes an adorable plant stand! With beautifully elegant straight legs, a round tray tabletop surface, and the option to fold away for storage, this small pedestal table will be the perfect accent piece in your home. The tray top secures to the legs with magnets to allow for sturdy display and easy remove-ability.","['Brand: Kate and Laurel', 'Shape: Round', 'Room Type: Living Room', 'Included Components: Tray Top', 'Color: Black', 'Finish Type: Black', 'Furniture Finish: Black', 'Model Name: Celia', 'Model Number: 217212', 'Age Range (Description): Adult', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 2,882 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #52,617 in Home & Kitchen (See Top 100 in Home & Kitchen) #170 in End Tables', 'Special Feature: Magnetic Base', 'Is Foldable: Yes', 'Base Type: Legs', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 14""D x 14""W x 25.75""H', 'Item Width: 14 inches', 'Tabletop Thickness: 5.69 Inches', 'Size: 14x14x25.75', 'Item Weight: 4.4 Pounds', 'Maximum Weight Recommendation: 15 Pounds', 'Number of Items: 1', 'Base Material: Metal', 'Frame Material: Metal', 'Top Material Type: Iron', 'Is Stain Resistant: No', 'Style: Modern', 'Table design: Tray Table', 'Pattern: Solid', 'Assembly Required: No', 'Specific Uses For Product: Residential Use', 'Recommended Uses For Product: Decorative Accent Table']",8d9d418c-423c-55c9-b398-e72e38d30fb6,2024-02-02 18:54:17 +B09NBWCTDS,https://www.amazon.com/dp/B09NBWCTDS,"Lizipai Floating Bedside Table, No Assembly Required,Night Stand with Drawer, 19"" X 13"" X 5.9"", White",Lizipai,$72.99,Only 1 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Nightstands']",https://m.media-amazon.com/images/I/41HBX6be98L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41HBX6be98L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51uisy-b6sL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31FQ4uoVMJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51jS0JmRuXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Q4MvI3vDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Fgvq77EsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51OTUzIP6BL.SS125_SS522_.jpg']",,,,"5.91""D x 18.9""W x 12.6""H",,,White,Wood,no,[],,"['Floating Nightstand ', ' Wall Mounted Nightstand, Handmade Floating Table or bedside wall shelf ', ' floating drawers ', ' Hotel cabinets Specification: 48*32*15cm/ 19*12.6*5.9in. It is fully functional and can be used as a bedside table or 2 and as a complement to a TV console.No competition with the room,Placement everywhere. Can be placed on the countertop and hung on the wall, go with your heart. ', ' Made of Multilayer board sheet, it is environmentally friendly, has strong texture and is not easy to be deformed, the surface is made of matte paint, easy to clean,scratch resistant. Robust craftsmanship: never compromise. ', ' Bedside shelf drawers : Fashionable and gorgeous edge design, drinking water at night is not easy to let the water cup fall.Thanks to its wall-mounted design, Easy sweeping entry . ', ' Reminder: Please watch the video for floating nightstand installation, if you don’t understand, please contact the seller.']",,"['Brand: Lizipai', 'Shape: Rectangular', 'Room Type: Bedroom', 'Color: White', 'Finish Type: Painted', 'Furniture Finish: Matte', 'Model Number: YST-09', 'Age Range (Description): Adult', 'Customer Reviews: 3.3 3.3 out of 5 stars \n 9 ratings \n\n\n 3.3 out of 5 stars', 'Best Sellers Rank: #543,940 in Home & Kitchen (See Top 100 in Home & Kitchen) #762 in Nightstands', 'Special Feature: Storage', 'Base Type: Legs', 'Product Dimensions: 5.91""D x 18.9""W x 12.6""H', 'Item Width: 5.91 inches', 'Size: 5.91D x 18.9W x 12.6H in', 'Item Weight: 7.19 Kilograms', 'Frame Material: Wood', 'Top Material Type: Wood', 'Product Care Instructions: Wipe with Dry Cloth', 'Style: Modern', 'Table design: Nightstand', 'Leg Style: no', 'Assembly Required: Yes', 'Assembly Instructions: DIY']",9a6699ab-a3f6-5ef6-8630-74731962e81c,2024-02-02 18:54:18 +B0BSZ96YG7,https://www.amazon.com/dp/B0BSZ96YG7,"CordaRoy's Chenille Bean Bag Ottoman Footstool, 26"" x 17"", Rainforest",CordaRoy's Store,,In Stock,"['Home & Kitchen', 'Furniture']",https://m.media-amazon.com/images/I/51HpCirQNAL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51HpCirQNAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51W3JwfVQAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+THNGhy1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41BCf4C9OJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Ceof0AVTL._SS522_.jpg']",,,FSC-CH-RF,"26""D x 26""W x 17""H","January 24, 2023",USA,Rainforest,Engineered Wood,Modern,[],,"[""BEAN BAG FOOTSTOOL: Provides the perfect place to kick up your feet and relax when paired with a coordinating CordaRoy's Bean Bag Chair or with any couch, sofa, or chair around the home "", "" GREAT FOR USE IN ANY ROOM: Great for both adults and children alike, and is perfect for use in your living room, family room, bedroom, kid's room, game room, basement, and more "", ' WASHABLE CHENILLE COVER: Super plush, chenille microfiber cover is both washer and dryer safe - the fabric will remain soft no matter how many times you wash it! ', "" EXTRA-STUFFED: Filled with long-lasting and supportive 100% polyfoam that won't compress over time, and we've added extra stuffing to every product for even more support "", ' IDEAL SIZE: Includes (1) footstool cover and (1) footstool insert for everything you need to get comfortable right away, and it measures 26"" x 17"" to fit in any space']","With CordaRoy's Bean Bag Footstool, comfort and relaxation are in the bag. Just as functional as it is comfortable, this bean bag footstool provides the perfect place to kick up your feet and relax. This versatile bean bag ottoman can be paired with a coordinating CordaRoy's Bean Bag Chair or with any couch, sofa, or chair around the home. It can even be used as a nightstand or end table next to a bed. This bean bag ottoman is great for both adults and children alike, and is perfect for use in your living room, family room, bedroom, kid's room, game room, basement, and more. The super plush, chenille microfiber cover is durable to provide a lifetime of use while remaining luxuriously soft, and the Rainforest color looks great with any decor style. When it's time for a refresh, simply toss the cover in the washer and dryer - the fabric will remain soft no matter how many times you wash it. At CordaRoy's, we use furniture-grade 100% polyfoam that is both long-lasting and supportive, and we've added extra stuffing to every product for even more support. It also doesn't compress over time, so your footrest will always be just as supportive as it was when you got it The CordaRoy's Beanbag Footstool is custom made and shipped from US. This complete set includes [1] footstool cover and [1] footstool insert for everything you need to get comfortable right away, and it measures 26"" x 17"" to fit in any space.","['Product Dimensions: 26""D x 26""W x 17""H', 'Color: Rainforest', ""Brand: CordaRoy's"", 'Fabric Type: Chenille', 'Frame Material: Engineered Wood', 'Seat Height: 17 Inches', 'Product Care Instructions: Machine Wash', 'Assembly Required: No', 'Size: 26 x 17 inch', 'Style: Modern', 'Item Weight: 8.78 pounds', 'Country of Origin: USA', 'Item model number: FSC-CH-RF', 'ASIN: B0BSZ96YG7', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 1 rating \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #1,123,123 in Home & Kitchen (See Top 100 in Home & Kitchen) #83,667 in Furniture', 'Date First Available: January 24, 2023']",850a2c03-f708-59b4-a506-c4b9428bb2ea,2024-02-02 18:54:18 +B0CD7FSWMK,https://www.amazon.com/dp/B0CD7FSWMK,"Plebs Home Solid Desktop Store Cart, with Rubber Wood Countertop, Island has 8 Handle-Free Drawers, Including a Flatware Organizer and 5 Wheels, for Dining, Kitchen, Living Room-Dark Blue, 53.15 Inch",Plebs Home,,Usually ships within 2 to 3 days,"['Home & Kitchen', 'Furniture', 'Kitchen Furniture', 'Storage Islands & Carts', 'Mobile Storage Islands']",https://m.media-amazon.com/images/I/51WFQwBEqjL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51WFQwBEqjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ZKUEg6ZNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51D67c2tbsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51QPlfM0jKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41GLffsVp-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NItkvLv-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41w9nCSGvHL._SS522_.jpg']",,Plebs Home,N707,"53.15""D x 18.5""W x 37""H",,China,Dark Blue,Wood,Slab,[],,"['Wood ', ' ① Flatware Organizer: This silverware organizer comes with 8 slots to store your kitchen cutlery just the way you like it. Unleash your drawers full potential with our silverware tray for drawer insert and experience the luxury of a neatly kept kitchen. ', ' ② 8 Handle-Free Drawers: This kitchen island has 8 handle-free drawers that prevent the handles from falling off and kids from eating them, which provide endless organizational possibilities. ', ' ③ Rolling Smoothly: Kitchen island with five smooth rolling wheels make it easy to move freely. 2 wheels have emergency lock brakes. Brake design allows the wheels to be locked in a stable position at will. ', ' ④ Large Storage Space: Eight storage drawers and a storage cabinet with adjustable shelves can accommodate various kitchen items. You can put small kitchen appliances and tableware into the cabinet and drawers to make your kitchen more neat and organized. ', ' ⑤ Easy Assemble and Dimensions: This kitchen island cart comes with step-by-step assembly instruction and numbered parts and hardware to make sure you can set up it without difficulties.']","Whether your kitchen is big or small, I think you should have a kitchen island for your daily use, you should definitely try to enrich with the practical and effective element – the kitchen island.The kitchen island is usually placed in the center of the kitchen and it can, in terms of how are organized other functions in the area, to have multiple purposes – from workspace and storage space, to place for the sink.The kitchen island is a great thing also if you have more space in the kitchen. It may be small or bigger, and the down area can be practical kitchen storage element, where you can dispose things, but also there is an option for the additional open shelves.*Product Overview:【Flatware Organizer】【8 Handle-Free Drawers】【【Solid Wood Desktop】【Adjustable Shelves】【Lockable Rollers】【Spice Rack】【Towel Holder】*Notice:1. Real Product’s Color may be a little different from the image due to the lighting or monitor’s display.2. Manual measurement has been used, there may be some reasonable error.","['Brand: Plebs Home', 'Color: Dark Blue', 'Product Dimensions: 53.15""D x 18.5""W x 37""H', 'Special Feature: Lockable, Adjustable Shelf', 'Mounting Type: Floor Mount', 'Room Type: Kitchen, Living Room', 'Door Style: Slab', 'Included Components: Shelves', 'Size: 53.15 Inch', 'Item Weight: 30 Pounds', 'Installation Type: Countertop', 'Back Material Type: Wood', 'Assembly Required: Yes', 'Item Weight: 30 pounds', 'Manufacturer: Plebs Home', 'ASIN: B0CD7FSWMK', 'Country of Origin: China', 'Item model number: N707', 'Customer Reviews: 3.8 3.8 out of 5 stars \n 27 ratings \n\n\n 3.8 out of 5 stars', 'Best Sellers Rank: #531,214 in Home & Kitchen (See Top 100 in Home & Kitchen) #219 in Mobile Kitchen Storage Islands', 'Fabric Type: Wood', 'Care instructions: Wipe with Damp Cloth', 'Batteries required: No']",930327b1-8e0e-5771-a69c-8e1d34a09694,2024-02-02 18:54:19 +B0C99D3V15,https://www.amazon.com/dp/B0C99D3V15,"ErGear Ergonomic Desk Chair, Office Chair with 2'' Adjustable Lumbar Support, Computer Chair with Flip-Up Armrests & Headrest, High Back Office Desk Chair with 4'' Thicken Seat for Home Office, Black",ErGear,$129.99,In Stock,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Chairs', 'Home Office Desk Chairs']",https://m.media-amazon.com/images/I/41C4FUmS-hL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41C4FUmS-hL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51l2PaEXmiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51HjJ5I7abL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51uEyJqJLBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51JSgO3g4vL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51rATLQxSEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51IDjszqikL.SS125_SS522_.jpg']",,ErGear,EGOC8,"25.2""D x 24.4""W x 54.31""H","August 20, 2023",China,Black,Memory Foam,With arms,[],,"['【Ergonomic Backrest for Better Posture】This executive office chair features a back support with an S-shaped curve to provide more effective support for your sacrum, waist, back, and shoulders, allowing you to maintain better posture with less spinal stress and back pain. The 2″ height-adjustable lumbar support with thick 1.6″ cushion helps to minimize strain on your lumbar for maximum comfort. ', ' 【4″ High-Resilience Memory Foam Seat】 The wide desk chair is equipped with a thick 4″ memory foam seat cushion for increased sponge density and thickness to balance softness and support. The waterfall edge molds to the contours of your body, providing a larger support area to reduce pressure on your hips and tailbone. ', ' 【Full Adjustment for the Perfect Fit】 The adjustable home office desk chair offers 4.7″ seat height adjustment and 2.4″ headrest adjustment to comfortably fit users between 5′1″ and 6′2″ in height. The tilting backrest of the office chair back support can recline 90° to 120° for upright work or rocking relaxation. The backrest of the desk chair for long hours is made of breathable mesh to allow better airflow to keep you cool and dry. Soft, flip-up armrests help to support your arms or can be flipped up out of the way to save space. ', ' 【SGS & BIFMA Certified】 The chair for desk with an SGS-certified Class 3 gas lift, sturdy 25″ steel base, and quality PU caster wheels, this home office chair ergonomic is rated to hold up to 300 lbs of weight. The computer desk chair has also passed BIFMA durability stress tests, making it a reliable choice that is built to last. ', ' 【Hassle-Free Assembly】The ergonomic chair gaming includes a detailed instruction manual and labeled hardware kit for easy installation in 7 simple steps. Feel free to contact our U.S.-based product support team if you have any questions about desk chair for bedroom assembly or product selection.']",,"['Brand: ErGear', 'Color: Black', 'Product Dimensions: 25.2""D x 24.4""W x 54.31""H', 'Size: Adjustable Lumbar', 'Back Style: Solid Back', 'Special Feature: Flip-up Padded Armrest, Adjustable Height, Adjustable Headrest, Ergonomic, Adjustable Lumbar Support, High Back', 'Product Care Instructions: Wipe Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office, Reading, Gaming', 'Maximum Weight Recommendation: 300 Pounds', 'Style: Modern', 'Pattern: Solid', 'Finish Type: Ergonomic', 'Room Type: Office, Game Recreation Room, Study Room', 'Age Range (Description): Adult', 'Included Components: Office chair, required accessories and installation manual', 'Theme: home office working', 'Model Name: EGOC8', 'Arm Style: With arms', 'Surface Recommendation: Hard Floor', 'Furniture base movement: Swivel', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Ergonomic', 'Seat Height: 19.68 Inches', 'Fill Material: Memory Foam', 'Item Weight: 28.5 pounds', 'Department: unisex-adult', 'Manufacturer: ErGear', 'ASIN: B0C99D3V15', 'Country of Origin: China', 'Item model number: EGOC8', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 51 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #103,053 in Home & Kitchen (See Top 100 in Home & Kitchen) #283 in Home Office Desk Chairs', 'Date First Available: August 20, 2023']",e0ea5029-8dae-5261-9c57-e98bd40e5bdb,2024-02-02 18:54:19 +B00FM0WG7I,https://www.amazon.com/dp/B00FM0WG7I,"Kingston Brass Millennium Towel-Ring, 7.63"", Oil Rubbed Bronze",Kingston Brass Store,$66.95,Only 9 left in stock - order soon.,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Rings']",https://m.media-amazon.com/images/I/31+kzwXTjxS._SS522_.jpg,"['https://m.media-amazon.com/images/I/31+kzwXTjxS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51p2h2QlshL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31y-I7722kL._SS522_.jpg']",,No,BA6014ORB,7.63 x 6.44 x 1.63 inches,"September 23, 2013",Taiwan,Oil Rubbed Bronze,Brass,,[],"[{'Color': ' Oil Rubbed Bronze '}, {'Material': ' Brass '}, {'Finish Type': ' Oil Rubbed '}, {'Brand': ' Kingston Brass '}, {'Installation Type': ' Wall Mount '}, {'Shape': ' Square '}, {'Item Weight': ' 0.61 Pounds '}]","['Solid Brass Construction ', ' 6-7/16"" Diameter ', ' 1-5/8"" Wall Clearance ', ' 3/8"" Diameter Rod ', ' Decorative Square Flange ', ' Pair with the Millennium Collection']","Product Description The Millennium Towel Ring Brass provides a stylish, convenient place to hang your hand towel. Pair with other accessories from the Millennium Collection for a matching set. This Collection will aid in enhancing a modern theme. From the Manufacturer Hang hand towels in style with the Millennium Towel Ring. With 6"" in diameter, this towel ring will give you enough space to hang up to two small hand towels. This towel ring is easily installed with all mounting hardware included.","['Color: Oil Rubbed Bronze', 'Material: Brass', 'Finish Type: Oil Rubbed', 'Brand: Kingston Brass', 'Installation Type: Wall Mount', 'Shape: Square', 'Item Weight: 0.61 Pounds', 'Manufacturer: Kingston Brass', 'Part Number: BA6014ORB', 'Item Weight: 9.8 ounces', 'Product Dimensions: 7.63 x 6.44 x 1.63 inches', 'Country of Origin: Taiwan', 'Item model number: BA6014ORB', 'Is Discontinued By Manufacturer: No', 'Size: 7.63""', 'Finish: Oil Rubbed', 'Item Package Quantity: 1', 'Included Components: Towel Ring; Mounting Hardware', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B00FM0WG7I', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 8 ratings \n\n\n 4.8 out of 5 stars', 'Best Sellers Rank: #1,054,457 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #1,303 in Bath Towel Rings', 'Date First Available: September 23, 2013']",fe9f61e3-48a7-5523-acd9-1b3538a012d7,2024-02-02 18:54:20 +B09DKG6JDN,https://www.amazon.com/dp/B09DKG6JDN,"Homebeez 18.9"" Round Velvet Storage Ottoman Multi-Function Vanity Stool Footrest with Storage for Bedroom/Living Room,Orange",Homebeez Store,,Only 5 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/51vTxE-9lHL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51vTxE-9lHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41vqFhe-LJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/516VkCDdmYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41hGHa2xSXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/416GsdtowKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41GHIfNlOnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41vUYXKyh3L.SS125_SS522_.jpg']",,Homebeez,KX0184-3,"18.9""D x 18.9""W x 16.5""H","August 25, 2021",China,Orange,Wood,Modern,[],,"['OTTOMAN WITH STORAGE:Large ottoman with storage to organize books, clothes, blankets, shoes, toys and many other sundries.It can be be used as a non-traditional coffee table , footrest, step stool, vanity stool,console table and storage unit ', ' ROUND OTTOMAN: Round ottoman covered with velvet and golden plate base which is perfect to enhance your room with storage ottoman，adds a glance of elegance and fashion for your house ', ' STURDY & WELL MADE: Anti-skid feet-pad prevent sliding while protecting your floors from scuffs and scratches,max capacity is 200 lbs ', ' VERSATILE USE: Hidden storage to reduce mess, be used as a non-traditional coffee table , footrest, step stool, console table and storage unit ', ' PRE-ASSEBLED OTTOMAN -No assemble required and you will get a finished installation ottoman with storage once you open the package']",,"['Product Dimensions: 18.9""D x 18.9""W x 16.5""H', 'Color: Orange', 'Brand: Homebeez', 'Fabric Type: Velvet', 'Base Material: Wood', 'Frame Material: Wood', 'Seat Height: 18.3 Inches', 'Product Care Instructions: Wipe with Dry Cloth', 'Maximum Weight Recommendation: 200 Pounds', 'Assembly Required: No', 'Size: 18.9"" (Dia) x 16.5"" (H)', 'Style: Modern', 'Item Weight: 12.1 pounds', 'Manufacturer: Homebeez', 'ASIN: B09DKG6JDN', 'Country of Origin: China', 'Item model number: KX0184-3', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 11 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #314,014 in Home & Kitchen (See Top 100 in Home & Kitchen) #521 in Ottomans', 'Date First Available: August 25, 2021']",6be2d007-defa-5276-a203-fe51277f03c1,2024-02-02 18:54:21 +B0B7Q5LB2C,https://www.amazon.com/dp/B0B7Q5LB2C,Mickey and Friends Collapsible Nylon Basket Bucket Toy Storage Tote Bag,Disney Store,$19.99,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Toy Bags & Nets']",https://m.media-amazon.com/images/I/410mEc5bblL._SS522_.jpg,"['https://m.media-amazon.com/images/I/410mEc5bblL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41WcSoVHo6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41sUU2o+4ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41HFvtbGX0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Ck5LtHekL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nvZyZK4QL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41IQRCsaQ9L._SS522_.jpg']",,,,,,,,,,[],[],[''],"Pack everything kids need and get ready for adventure with this easy-to-carry exclusive Mickey Mouse and Friends Bucket Bag! A durable nylon body and lining keeps this stylish and fun Mickey Mouse tote bag protected from spillage and other messy mishaps. With a flexible 1 inch heavy weight polypropylene webbing handle, this water resistant bag withstands daily activities and beach trips! This Mickey Mouse bag is lightweight, compact, fold-able, and reusable. It's the perfect bag for: summer beach days, the pool, picnics, an Easter Basket, a trick-or-treat Halloween bag, toy storage, camp, the park, a birthday gift bag, carrying toys, or carrying your little one's collectibles! This fun bag features the classic Disney characters: Donald Duck, Mickey Mouse, Goofy, Pluto and Minnie Mouse! It's the perfect reusable kid's bag for any Disney, Mickey Mouse Clubhouse or classic Mickey and Minnie fan!",[],25fe26b0-c1d3-5935-b486-bfb915fe916b,2024-02-02 18:54:21 +B01LWPSVUW,https://www.amazon.com/dp/B01LWPSVUW,Homepop Home Decor | Backless Nailhead Trim Counter Height Bar Stools | 24 Inch Bar Stools | Decorative Home Furniture (Blue Tweed),HomePop Store,,,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/41HPIScA4sL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41HPIScA4sL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514+kukCJIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31v1RrNHrEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61p91ECgc6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Dv5a1x4DL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515fro3QCzL._SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,No,K7446-F2176,"13""D x 18.5""W x 26""H",,,Blue,,Contemporary,[],,"['""92% Polyester, 8% Linen"" ', ' BAR STOOL: Perfect for entertaining around your kitchen counter or game room table, our backless Counter Height Bar Stools invite guests to settle in and linger comfortably ', ' BAR STOOLS: Designed for comfort and style, our Counter Height Stools features a contrasting nailhead trim and is perfectly completed with wood legs in a striking finish to offer a timeless style ', ' Our backless barstool is easy to hide when not in use ', ' 24 INCH BAR STOOLS: Weighing at 11 lbs our kitchen stool supports a capacity of up to 250 lbs ', ' COUNTER HEIGHT CHAIRS CARE & CLEANING: Super easy to assemble and maintain ', ' Spot clean only ', ' BAR STOOLS COUNTER HEIGHT DIMENSIONS: 24 inches high x 16 inches wide x 16 inches deep']","Classic with a handsome, contemporary twist, the Blake Backless Counter Stool features a wood base and upholstered seat. Perfect for friends and family to gather around the kitchen counter on, or when not in use, this backless design can be pulled under any counter for a clutter free environment. Finishing details like a nail head trim and simple wood carving on the base add a hint of sophistication and charm. This counter stool is the perfect blend of functionality and style for the home. Available in a wide range of fabric and wood combos for any décor preference.","['Product Dimensions: 13""D x 18.5""W x 26""H', 'Color: Blue', 'Brand: HomePop', 'Size: 24 in', 'Style: Contemporary', 'Furniture Finish: MID-TONE WALNUT', 'Seat Height: 24 Inches', 'Maximum Weight Recommendation: 250 Pounds', 'Product Care Instructions: Wipe with Dry Cloth', 'Assembly Required: Yes', 'Number of Pieces: 1', 'Item Weight: 11.2 pounds', 'Manufacturer: Kinfine', 'ASIN: B01LWPSVUW', 'Item model number: K7446-F2176', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 130 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #897,531 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,118 in Barstools', 'Is Discontinued By Manufacturer: No', 'Fabric Type: ""92% Polyester, 8% Linen""', 'Form Factor: Upholstered', 'Warranty Description: 1 year limited manufacturer warranty.', 'Batteries required: No', 'Included Components: 1']",c5ab3463-5b96-5d58-9f88-8175cdea76a3,2024-02-02 18:54:22 +B07D7RQNJV,https://www.amazon.com/dp/B07D7RQNJV,"Camco Life Is Better at The Campsite Outdoor & Indoor Welcome Mat - Weather and Doormat | Traps Dirt and Liquid | Spongey Comfortable Feel | Measures 26 ½ "" x 15"" - Blue (53201) - 53201-A",Camco Store,$24.99,In Stock,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51DN2is3ZjL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51DN2is3ZjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61sfweofAVL.SS40_SS522_.jpg ', ' https://m.media-amazon.com/images/I/71ABUuqDwqL.SS40_SS522_.jpg ', ' https://m.media-amazon.com/images/I/B1UwRBqJwXL.SS40_SS522_.png']",,53201-A,53201-A,"26""L x 15""W","May 22, 2018",China,Blue,Rubber,Outdoor & Indoor,[],"[{'Brand': ' Camco '}, {'Size': ' 26.5 "" x 15"" '}, {'Material': ' Polyvinyl Chloride '}, {'Weave Type': ' Machine Made '}, {'Item Weight': ' 1.9 Pounds '}]","['Designed For Dirt Removal: The mat is designed with looped rubber material that helps trap moisture, mud and other messy unwanted debris from tracking into your home, RV, or campsite ', ' Non-Slip Backing: Rubber backing is skid proof and will remain in place even in areas with high traffic ', ' Unique Design: Blue mat with an orange ""Life Is Better at The Campsite"" logo ', ' Optimal Size For Most Entryways: Rug measures 26 1/2-inches x 15-inches to fit most standard size doorways and entryways ', ' Durable Build and Simple Maintenance: Durable weather and mat can be placed indoors or outdoors and can be cleaned easily']","Stylish “Life Is Better at the Campsite” door mats are great for home, outdoors, under a pet bowl or camping! Use them to help trap dirt and debris to prevent bigger messes. Looped PVC material dries quickly, provides a cushioned step and is easy to clean. This mat comes in blue with an orange ""Life is Better at the Campsite"" logo. It measures 26 1/2-inches x 15-inches.","['Brand: Camco', 'Size: 26.5 "" x 15""', 'Material: Polyvinyl Chloride', 'Weave Type: Machine Made', 'Item Weight: 1.9 Pounds', 'Pile Height: Low Pile', 'Construction Type: Machine Made', 'Back Material Type: Rubber', 'Color: Blue', 'Indoor/Outdoor Usage: Indoor', 'Theme: Welcome', 'Is Stain Resistant: Yes', 'Pattern: Looped rubber', 'Shape: Rectangular', 'Special Feature: Non-slip Backing', 'Room Type: Hallway', 'Product Dimensions: 26""L x 15""W', 'Rug Form Type: Doormat', 'Style: Outdoor & Indoor', 'Number of Pieces: 1', 'Item Thickness: 0.25 Inches', 'Manufacturer: Camco', 'Model: 53201', 'Item Weight: 1.85 pounds', 'Country of Origin: China', 'Item model number: 53201-A', 'Manufacturer Part Number: 53201-A', 'Position: Rear', 'Special Features: Non-slip Backing', 'ASIN: B07D7RQNJV', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 3,364 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #112,916 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #1,364 in Outdoor Doormats', 'Date First Available: May 22, 2018']",5385a46e-4f3d-529a-a1d7-fe3e590abf77,2024-02-02 18:54:23 +B0CD7TH3BF,https://www.amazon.com/dp/B0CD7TH3BF,MoNiBloom Round Folding Faux Fur Saucer Chair for Bedroom Living Room Dorm Courtyard Foldable Metal Frame Oversized Large Comfy Furry Padded Soft Lounge Lazy Cozy Moon Chair for Adults (Burgundy),MoNiBloom Store,,Only 14 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Folding Tables & Chairs', 'Folding Chairs']",https://m.media-amazon.com/images/I/41eoFKL3gKL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41eoFKL3gKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ch8Zkpz-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51INGjNRFNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51MBwhlb7dL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51tACWq3OEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/411gQWhBQ-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51J7ohNItPL.SS125_SS522_.jpg']",,MoNiBloom,A65-CC-RO-001-BU,"19.5""D x 33""W x 32.5""H","July 31, 2023",China,Burgundy,Polyester,Modern,[],,"['Comfortable Cozy Design - This oversized saucer chair will hug your body as you relax while watching TV, reading, playing video games, or lounging. Made with soft synthetic fur fabric, this chair is extra cozy for sitting and lounging. ', ' Sturdy & Stable Structure - This moon chair uses a heavy-duty and durable metal base, which is durable and strong. The maximum load capacity is 300lbs. The foot pads on the metal frame at the bottom of the chair not only prevent the chair from tilting and sliding, but also protect the floor from scratches. ', ' Save Space - This lightweight sofa chair folds and unfolds in seconds for easy storage. You can take it anywhere. When not in use, simply fold it away to save space. Ideal for small corners or bedrooms. ', ' Easy to Clean - This soft lounge chair comes assembled and ready to use right out of the box. If the chair becomes soiled, simply wipe it clean with a damp cloth, warm water and a mild detergent. ', ' Multi-Purpose - A saucer chair that the whole family can use! You can put it in the bedroom, living room, study or game room to watch TV, read a book, play games or rest. You can put it on the balcony and enjoy the beautiful view outside. You can also use it for camping, fishing and other outdoor activities. You can even put your pet on a chair to accompany you. In addition, you can also give it as a gift to your family or friends.']",,"['Brand: MoNiBloom', 'Color: Burgundy', 'Product Dimensions: 19.5""D x 33""W x 32.5""H', 'Special Feature: Foldable', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Reading, Camping, Gaming', 'Maximum Weight Recommendation: 300 Pounds', 'Style: Modern', 'Pattern: Solid', 'Finish Type: Polished', 'Room Type: Living Room, Bedroom', 'Age Range (Description): Adult', 'Included Components: saucer chair', 'Shape: Round', 'Model Name: MoNiBloom A65-CC-RO-001-BU', 'Surface Recommendation: Hard Floor', 'Form Factor: Foldable', 'Seat Depth: 16.5 inches', 'Fill Material: Polyester', 'Item Weight: 11.46 pounds', 'Department: Unisex Adult', 'Manufacturer: MoNiBloom', 'ASIN: B0CD7TH3BF', 'Country of Origin: China', 'Item model number: A65-CC-RO-001-BU', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 8 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #454,301 in Home & Kitchen (See Top 100 in Home & Kitchen) #166 in Folding Chairs', 'Date First Available: July 31, 2023']",d00f8e82-7c15-5c18-9835-21574ca361cf,2024-02-02 18:54:23 +B0C1NSNDW2,https://www.amazon.com/dp/B0C1NSNDW2,"YMYNY Vanity Stool Chair with Storage, Square Velvet Ottoman Foot Stool, Modern Multifunctional Makeup Stool for Bedroom, Living Room, Office, Gold Legs, 18.9 * 15.75 * 11.6"", Dusty Blue, UHBD024G",YMYNY Store,$29.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/519Am3LPMvL._SS522_.jpg,"['https://m.media-amazon.com/images/I/519Am3LPMvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41EXytPDphL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41zz+y3+jKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51B5Bhhn6WL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wovePNp2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41DZ4L8le+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/617Z4NYdbHL.SS125_SS522_.jpg']",,YMYNY,,"11.61""D x 15.75""W x 18.9""H","April 6, 2023",,Dusty Blue,,Modern,[],,"['🛒With Large Storage Space: If you lift the cover of the seat cushion, you can see that there is sufficient storage space at the bottom. The cushion size is 6.7 * 15.75 * 11.6, making it convenient for you to store daily necessities such as cosmetics, tissues, books, etc. ', ' 🛒Classic And Elegant Design: With unique pleated design, this square vanity chair is made with high grade velvet fabric and filled in high resilience foam, which shows a uniqueness and elegance of the mid-century modern style and you can relax and enjoy your makeup time or leisure time. ', ' 🛒Durable Materials: The sturdy wood frame and metal legs can support up to 220lbs, and the golden appearance makes the stool more aesthetic. We also have added Non-slip foot pads to make the stool more stable and protect your floor. ', ' 🛒Multi-functional: Available in a variety of colors, this makeup stool is perfect for any style of home decor. Can be placed in many occasions, such as bedroom，bathroom, living room, dressing room, etc. This stool is not only can be a stool for vanity, normal makeup chairs, but also a shoe bench, or a footstool ottoman for you to put your feet on it. ', ' 🛒Customer Guarantee: Detailed assembly instruction will be sent with ottoman foot stool. All the hardware is included in it. Please check all the hardware and the stool before assembling. Once there is anything missing, please feel free to contact us. YMYNY will give you the better shopping experience']",,"['Product Dimensions: 11.61""D x 15.75""W x 18.9""H', 'Color: Dusty Blue', 'Brand: YMYNY', 'Size: Large', 'Style: Modern', 'Furniture Finish: Gold', 'Maximum Weight Recommendation: 220 Pounds', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 1', 'Item Weight: 9.9 pounds', 'Manufacturer: YMYNY', 'ASIN: B0C1NSNDW2', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 60 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #290,888 in Home & Kitchen (See Top 100 in Home & Kitchen) #484 in Ottomans', 'Date First Available: April 6, 2023']",e8f3d4ce-f965-5194-a344-447aab6a326d,2024-02-02 18:54:24 +B0069H9BYO,https://www.amazon.com/dp/B0069H9BYO,"Casual Home 5 Piece Tray Table Set, Espresso",Casual Home Store,$99.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables']",https://m.media-amazon.com/images/I/41WweDJqgZL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41WweDJqgZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41iriQH6wsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41LkcYulWBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/319TJxI+hLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ItLyeyrOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/519ULBLppmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51sLpa4NuoL.SS125_SS522_.jpg']",,,,"14.75""D x 19""W x 25.5""H",,,Espresso,Wood,Tray Table Set,[],,"['Item Dimensions : 14.8L x 19W x 25.5H inches. Material : Wood. No assembly required ', ' Set of 4 folding TV tables and matching storage stand for easy storage ', ' Great for living room get togethers when you need that extra table space ', ' Solid wood construction for increased durability and longevity with light an easy assembly ', ' Tray Stand Dimensions: 30.25 inches high x 11.25 inches wide x 12.25 inches deep ', ' Tray Dimensions: 25.50 inches high x 19 inches wide x 14.75 inches deep; Total Weight: 27.75 pounds ', ' Not Made In China']","With this 5-piece Folding Table Set you can have a table anywhere in your home. Made of 100-percent solid wood, this set includes 4 folding tables and a convenient storage stand, which is great for transportation. Perfect for TV meals or family meals that make their way out of the kitchen or dining room.","['Brand: Casual Home', 'Shape: Rectangular', 'Room Type: Kitchen, Living Room, Dining Room', 'Included Components: Tray Table, Stand', 'Color: Espresso', 'Finish Type: espresso', 'Furniture Finish: Solid Pine', 'Model Name: 660-44', 'Model Number: 660-44', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 6,589 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #13,764 in Home & Kitchen (See Top 100 in Home & Kitchen) #162 in Living Room Tables', 'Special Feature: Foldable, Space Saving', 'Is Foldable: Yes', 'Base Type: Legs', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 14.75""D x 19""W x 25.5""H', 'Item Width: 19 inches', 'Size: 5 Piece Tray Table Set', 'Item Weight: 28 Pounds', 'Maximum recommended load: 15 Pounds', 'Number of Items: 1', 'Unit Count: 5.0 Count', 'Base Material: Wood', 'Frame Material: Wood', 'Top Material Type: Wood', 'Style: Tray Table Set', 'Table design: Tray Table', 'Pattern: Solid', 'Assembly required: No', 'Assembly Instructions: Already Assembled', 'Specific instructions for use: Residential Use']",ca08facd-e8da-5a55-84df-22c1aea973ea,2024-02-02 18:54:25 +B09J1RM23P,https://www.amazon.com/dp/B09J1RM23P,"Simplify Hanging Grey 20-Pocket Shoe Boho Closet Storage Organization | Dimensions: 0.25"" x 22"" x 54"" | Hangs on Door| Closet | 20 Pockets | Grey | Closet Organization",Simplify Store,,Available to ship in 1-2 days,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Over the Door Shoe Organizers']",https://m.media-amazon.com/images/I/41eYiOqsldL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41eYiOqsldL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51y+r1OOBlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41c0X09PrtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515heEkHliL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41zZV39PIPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51rmfgmzihL.SS125_SS522_.jpg']",,Kennedy International Inc.,30106-GREY,"0.25""D x 22""W x 54""H",,China,Grey,80% Linen printed nonwoven +20% solid nonwoven+ 20%PAPERBOARD,,[],,"['20 POCKETS: This hanging shoe organizer has 20 pockets to keep your shoes protected and organized in your closet. ', ' BREATHABLE MATERIAL: This breathable material is made with non-woven fabric ', ' STORAGE: This hanging organizer holds shoes, slippers and your belts in all one organizer. It makes everything stay in one place. ', ' HANGS: This organizer has 3 steel clips it can hang on any door or over a closet, ', ' Dimensions: 0.25"" x 22"" x 54""']","Simplify's Boho 20-Pocket Non-woven Shoe Organizer is made of 100% Nonwoven breathable material that acts as instant organization for your closet or room. Can store shoes, slippers, belts, purses so much more. With 3 steel clips, it can hang on any door or closet, and when not in use it folds up as storage. Slim design gives easy access to stored items.","['Specific Uses For Product: Shoes', 'Material: 80% Linen printed nonwoven +20% solid nonwoven+ 20%PAPERBOARD', 'Special Feature: Hanging', 'Color: Grey', 'Brand: Simplify', 'Finish Type: Fabric', 'Product Dimensions: 0.25""D x 22""W x 54""H', 'Number of Compartments: 20', 'Shape: Rectangular', 'Number of Items: 1', 'Item Weight: 7.8 ounces', 'Manufacturer: Kennedy International Inc.', 'ASIN: B09J1RM23P', 'Country of Origin: China', 'Item model number: 30106-GREY', 'Customer Reviews: 3.5 3.5 out of 5 stars \n 10 ratings \n\n\n 3.5 out of 5 stars', 'Best Sellers Rank: #742,009 in Home & Kitchen (See Top 100 in Home & Kitchen) #690 in Over the Door Shoe Organizers', 'Finish types: Fabric', 'Assembly required: Yes', 'Batteries required: No', 'Included Components: Shoe Closet Organizer']",e6784db9-822a-50ab-8f57-f79cbe608f15,2024-02-02 18:54:25 +B0C5DH6ZY6,https://www.amazon.com/dp/B0C5DH6ZY6,"Get Set Style Black Glass Side Table, Square Glass End Table Modern Coffee Table with Storage, Glass Mirrored Table for Living Room, Balcony, Bedroom, Office",Get Set Style Store,$59.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/51gG6ukN1nL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51gG6ukN1nL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414mhJ5Xf-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51It3X+9DFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51sdU43HNGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/612v0UamT7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51YIHpUxoiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A128nbvAfWL.SS125_SS522_.jpg']",,,,"19.7""D x 19.7""W x 21.65""H",,,Shiny Black,Tempered Glass,Modern and Elegant,[],,"['【Sturdy and Durable】 : Get Set Style glass end table is made up of the coated black metal with solid tempered glass table tops, the glass table have excellent stability and durability. The coffee tables for living room with shelf can take 110 lbs to meet your daily needs. ', ' 【2-Tier Storage 】:This living room table has 2 tiers of shelves for storage or display. These glass table is suitable for placing drinks and books, but also for displaying you favorite ornaments home decor and plants.Measurement is 19.7(W)*19.7(L)*19.7(H) IN suitable for any rooms ', ' 【Multiple Applicability】:The 2-tier end table side table can fit perfectly into bedroom or living room of most style. It can be used as nightstands, bedside table, sofa tables, end tables living room side tables, hallway tables or accent tables.This makes it suitable the 2-tiers side table fit in any rooms for displaying decorative accessory, placing coffee and storing books, setting a night lamps ', ' 【Easy to Assemble】:With our clear assembly instructions, it will be easy for anyone to assemble glass coffee table . It is very easy to finish within 15 minutes with an elaborate assembly manual.L-key tool help you to assemble more easy. ', ' 【Customer Guarantee】：If you have any problems, please contact customer service, we will provide you with a satisfactory solution within 24 hours.Our products provide a 1 year warranty.']",,"['Brand: Get Set Style', 'Shape: Square', 'Room Type: Living Room, Bedroom, Home Office, Hallway', 'Included Components: Assembly Guide, Installation Tool', 'Color: Shiny Black', 'Furniture Finish: Black', 'Model Name: 700003', 'Model Number: 700003', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 47 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #198,937 in Home & Kitchen (See Top 100 in Home & Kitchen) #830 in End Tables', 'Special Feature: Storage, Space Saving, Easy Assembly', 'Base Type: Leg', 'Product Dimensions: 19.7""D x 19.7""W x 21.65""H', 'Item Width: 19.7 inches', 'Item Weight: 20.9 Pounds', 'Number of Items: 1', 'Frame Material: Glass, Metal', 'Top Material Type: Tempered Glass', 'Style: Modern and Elegant', 'Table design: End Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly']",0f7db59b-10e3-5fce-a0c4-380f718befe1,2024-02-02 18:54:26 +B0CKQTTZ5V,https://www.amazon.com/dp/B0CKQTTZ5V,"Watson & Whitely Swivel Bar Stools Set of 2, Faux Leather Upholstered Counter Height Barstool with Back, 26"" H Seat Height Counter Stools with Solid Wood Legs (Black)",Watson & Whitely Store,,,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/41nDc6aFKoL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41nDc6aFKoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51CYefeT+kL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41shsXFepaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/416jEGwG2BL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/316BDiPq2fL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31962qB2aZL._SS522_.jpg']",,,,"22""D x 18.9""W x 39.4""H","October 9, 2023",,Black,,Modern,[],,"['Take a Spin: Modern with comfort to match, the sculpted silhouette of counter stool features a gently curved backrest and a comfortable seat which fully swivels 360 degrees. ', ' Padded Seat & Back: Seat cushions contains dense, high-resiliency foam which is CertiPur-US certified. Backrests are filled with supportive foam and back frame system is sustained by flexible elastic webbing. ', ' Built To Last: Handcrafted by artisans, sturdy solid wood base is hand-painted and hand-distressed in brushed espresso finishing that replicates a naturally weathered appearance. Weight capacity: 300 lbs. ', ' Easy To Clean: Upholstered in easy to clean faux leather, which has the look of real leather and provides butter-soft texture and great durability. ', "" Set of 2. Overall dimension: 22''D x 18.9''W x 39.4''H. Seat Dimension: 16.1''D x 18.9''W x 26.8''H. "", ' Simple assembly required. If you have any questions, please contact our professional customer support team. We will give you a satisfactory solution.']",,"['Product Dimensions: 22""D x 18.9""W x 39.4""H', 'Color: Black', 'Brand: Watson & Whitely', ""Size: Overall dimension: 22''D x 18.9''W x 39.4''H"", 'Style: Modern', 'Furniture Finish: Espresso', 'Seat Height: 26.8 Inches', 'Seat Width: 18.9 Inches', 'Maximum Weight Recommendation: 300 Pounds', 'Product Care Instructions: Dust periodically with a clean dust cloth. For spots or smudges, lightly moisten a cloth with water and wipe clean.', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 59.4 pounds', 'ASIN: B0CKQTTZ5V', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 20 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #611,724 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,455 in Barstools', 'Date First Available: October 9, 2023']",cedd3264-1032-552d-8c6f-36c9c7180349,2024-02-02 18:54:27 +B0BZJYM4Q6,https://www.amazon.com/dp/B0BZJYM4Q6,Sweet Jojo Designs Boho Rainbow Girl Ottoman Pouf Cover Unstuffed Poof Floor Footstool Square Cube Pouffe Storage Baby Nursery Kids Room Blush Pink Yellow Bohemian Modern Neutral Vintage Taupe Beige,Sweet Jojo Designs Store,$22.99,Only 4 left in stock - order soon.,"['Baby Products', 'Nursery', 'Furniture', 'Gliders, Ottomans & Rocking Chairs', 'Ottomans']",https://m.media-amazon.com/images/I/31nn4NwuKfL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31nn4NwuKfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qhh18DEYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41p9W9wzc9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41QSj0GVgIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/419mltSGyiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51E6qrM4LjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/91WPNPjJCkL.SS125_SS522_.jpg']",,No,Pouf-BohoRainbow-PRT,"17""D x 15""W x 17""H","April 3, 2023",China,Multi Color,Engineered Wood,Shabby Chic,[],,"['Includes (1) 17 in. x 15 in. x 17 in. 100% Woven Canvas Stuffable Pouf Cover ', ' OTTOMAN POOF CASE ONLY – STUFFING/INSERT/FILLER NOT INCLUDED. Machine wash cold, tumble dry low. ', ' Featuring exclusive canvas fabric of blush pink yellow tan boho neutral dusty rose watercolor bohemian modern gold mauve taupe beige celestial sky stars suns and vintage rainbows. ', ' This durable and comfortable square pouffe ottoman cover is the best way to store all your baby and kids essentials in one convenient storage unit. Use the canvas fabric unstuffed pouf cover to create a versatile decorative foot rest, footstool, floor pillow or cushion. Place your comforters, toys, wash cloths or throws in the storage poufs to hide away clutter and use as a simple room decoration. Please note: baby and children should not be left unattended with pouf cover. ', ' Filled Pouf covers can be used as additional kid friendly seating or foot rests wherever you need it: livingroom, bed room, playroom, nursery, family room, guest room, office, library, classroom, home theater, gaming room, sunroom, attic and basement. They make the perfect gift to coordinate with Sweet Jojo Designs nursery and kids bedding, crib sheets, changing pad covers, nursing pillow covers, play mats, storage bins, window treatments, wall decor and accessories.']",,"['Product Dimensions: 17""D x 15""W x 17""H', 'Color: Multi Color', 'Brand: Sweet Jojo Designs', 'Fabric Type: Canvas, Cotton', 'Frame Material: Engineered Wood', 'Seat Height: 17 Inches', 'Product Care Instructions: Machine Washable', 'Assembly Required: No', 'Size: 17in. x 17in. x 15in. Canvas Stuffable Pouf', 'Style: Shabby Chic', 'Item Weight: 11.4 ounces', 'Department: baby-girls', 'Manufacturer: Sweet Jojo Designs', 'ASIN: B0BZJYM4Q6', 'Country of Origin: China', 'Item model number: Pouf-BohoRainbow-PRT', 'Best Sellers Rank: #39,827 in Baby (See Top 100 in Baby) #3 in Nursery Gliding Ottomans', 'Is Discontinued By Manufacturer: No', 'Date First Available: April 3, 2023']",c8dcba5d-7f4d-51be-95f8-237f3d0cc5ca,2024-02-02 18:54:27 +B08SL4GH7G,https://www.amazon.com/dp/B08SL4GH7G,"Pekokavo Sofa Arm Clip Tray, Side Table for Remote Controls/Drinks/Gamepads Holder (Bamboo)",NDL Store,$24.99,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'TV Trays']",https://m.media-amazon.com/images/I/51yz-83kj+L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51yz-83kj+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nJMub-4ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qPMV+jrnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41G+5gYywxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41JfjmmPphL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41DKZ0XulcL._SS522_.jpg']",,NDL,,"9.8""L x 9.8""W x 4.5""H","January 10, 2021",China,Bamboo,Bamboo,Modern,[],"[{'Brand': ' NDL '}, {'Color': ' Bamboo '}, {'Material': ' Bamboo '}, {'Product Dimensions': ' 9.8""L x 9.8""W x 4.5""H '}, {'Shape': ' Round '}]","['Handy armrest clip-on table for easy reaching your drinks/snacks/remote controls/phones/gaming controller, ideal for elders with mobility difficulties ', ' Design with 2 spring loaded arms, hold the table in place stably, fit in round/square/curved arms ', ' No assemble required, no stress, no tools, install and uninstall in a second, just clip on & off ', ' Material: natural bamboo ', ' Measurements: 9.8 (Dia.) x 2.5 collapse/4.5 expand (H) inch']","Limited space, no room for side table and coffee table? Pekokavo Couch Arm Clip Tray can be simply clamped on you couch armrest, no tool and assemble required. When no in use, fold the arm tray and storage under you couch or in the drawer, easy, convenient and space saving. Enjoy your time on the couch with Pekokavo!","['Brand: NDL', 'Color: Bamboo', 'Material: Bamboo', 'Product Dimensions: 9.8""L x 9.8""W x 4.5""H', 'Shape: Round', 'Special Feature: Storage', 'Style: Modern', 'Number of Items: 1', 'Occasion: Wedding, Anniversary, Birthday', 'Product Care Instructions: Wipe with Dry Cloth', 'Pattern: Solid', 'Item Weight: 1.62 Pounds', 'Is Oven Safe: Yes', 'Is Dishwasher Safe: No', 'Item Weight: 1.62 pounds', 'Manufacturer: NDL', 'ASIN: B08SL4GH7G', 'Country of Origin: China', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 774 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #61,141 in Home & Kitchen (See Top 100 in Home & Kitchen) #19 in TV Trays', 'Date First Available: January 10, 2021']",92d31095-e65e-5890-b90b-6c5b7efa78c1,2024-02-02 18:54:28 +B07SPYM4M5,https://www.amazon.com/dp/B07SPYM4M5,"Caroline's Treasures JMA2013HRM2858 Seaweed Salad Mahi Indoor/Outdoor Runner Mat 28x58,",Caroline's Treasures Store,,In Stock,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/514qJ5aPtbL._SS522_.jpg,"['https://m.media-amazon.com/images/I/514qJ5aPtbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41MxS6USGJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51C3JxkKsiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41RyPwb7VuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51jW7pgw2QL._SS522_.jpg']",,Caroline's Treasures,JMA2013HRM2858,"58""L x 28""W",,USA,Multicolored,Rubber,Modern,[],"[{'Brand': "" Caroline's Treasures ""}, {'Size': ' 28H x 58W '}, {'Material': ' Fabric '}, {'Weave Type': ' Machine Made '}, {'Item Weight': ' 6 Pounds '}]","['100% Polyester ', ' Outdoor Welcome Mat or Entry Way Rug Runner that measures 28 inch by 58 inch Action Back Felt Floor Mat / Carpet / Decorative Rug that is Made and Printed in the USA ', ' Door Mat Indoor or Outdoor Rug 28x58. Use a garden hose or power washer to chase the dirt off of the mat. Do not scrub with a brush. Use the Vacuum on floor setting. A Black binding tape is sewn around the mat for durability and to nicely frame the artwork. ', "" Felt and Rubber Floor Mat Made in the USA by Caroline's Treasures. "", ' Perfect to be used as a porch rug, outdoor kitchen mat, entryway door mat, indoor door mat or outdoor doormat. ', "" Great gifts: Great hostess gifts, a housewarmning gift for that new home or a wedding gift for that new couple. All of our products feature artwork from one of our artists and desingers. A great gift for your dog walker, groomer, or pet sitter. We even have great teacher's gifts. Fish gifts, Fish collectibles, Fish Doormat""]",INDOOR / OUTDOOR FLOOR MAT RUNNER 28 inch by 58 inch Action Back Felt Floor Mat / Carpet / Rug / Floor Runner that is Made and Printed in the USA. A Black binding tape is sewn around the mat for durability and to nicely frame the artwork. The mat has been permenantly dyed for moderate traffic and can be placed inside or out (only under a covered space). Durable and fade resistant. The back of the mat is rubber backed to keep the mat from slipping on a smooth floor. Wash with cleaner that does not produce suds & water. Use pressure with water from a garden hose or even a powerwasher to remove dirt. Vacuum like you would hardwood floors.,"[""Brand: Caroline's Treasures"", 'Size: 28H x 58W', 'Material: Fabric', 'Weave Type: Machine Made', 'Item Weight: 6 Pounds', 'Pile Height: Low Pile', 'Construction Type: Machine Made', 'Back Material Type: Rubber', 'Color: Multicolored', 'Indoor/Outdoor Usage: Indoor', 'Theme: Animals', 'Is Stain Resistant: Yes', 'Product Care Instructions: Hand Wash Only', 'Pattern: Letter Print', 'Shape: Rectangular', 'Special Feature: Large Size, High Traffic, Non Slip, Exterior, Decorative', 'Room Type: Kitchen', 'Product Dimensions: 58""L x 28""W', 'Rug Form Type: Runner', 'Style: Modern', 'Number of Pieces: 1', 'Item Thickness: 0.25 Inches', 'Item Weight: 6 pounds', ""Manufacturer: Caroline's Treasures"", 'ASIN: B07SPYM4M5', 'Country of Origin: USA', 'Item model number: JMA2013HRM2858', 'Best Sellers Rank: #714,945 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #11,408 in Outdoor Doormats', 'Fabric Type: 100% Polyester', 'Tick-repellent material: Fabric', 'Finish types: Matte', 'Assembly required: No', 'Batteries required: No', 'Included Components: doormat']",2ad53caa-8bbd-5d00-ad94-adaec8f47b6d,2024-02-02 18:54:29 +B08FC5HPBS,https://www.amazon.com/dp/B08FC5HPBS,"Xchouxer Side Tables Natural Bamboo Sofa Armrest Clip-On Tray, Ideal for Remote/Drinks/Phone (Round)",Xchouxer Store,$27.99,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'Sofa & Console Tables']",https://m.media-amazon.com/images/I/511LXRAxI+L._SS522_.jpg,"['https://m.media-amazon.com/images/I/511LXRAxI+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51a-Ac+5UDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51iy8KXxDmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51PyfYDGJXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41k7rtqB28L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41F86FHjtAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A1DAshCoLpL.SS125_SS522_.jpg']",,TF,,"9.84""L x 9.84""W x 4.5""H","August 6, 2020",China,Beige,Bamboo,Modern,[],"[{'Brand': ' Xchouxer '}, {'Color': ' Beige '}, {'Material': ' Bamboo '}, {'Product Dimensions': ' 9.84""L x 9.84""W x 4.5""H '}, {'Shape': ' Round '}]","['MAKE LIFE EASIER - easy for reaching remote control/coffee/snacks/phone, especially ideal for elders with mobility difficulty ', ' COMPACT SPACE SAVING DESIGN - clamp-on design, create an instant and stable end table in a second, good replacement for huge console side table, great for home with limited space, apartment, and dorm ', ' ECO-FRIENDLY PREMIUM MATERIAL – made of durable natural bamboo, which grow faster than wood and known to be stronger and more beautiful than regular wood ', ' NO ASSEMBLE REQUIRED – no stress, no tools required, install and uninstall in a second, just clip-on and off ', ' MEASUREMENTS – 9.84 inch (DIA.) x 2 2/3 inch collapse/4.5 inch expand (H), fits both round & square armrest, maximum leg open width 10 inch']",,"['Brand: Xchouxer', 'Color: Beige', 'Material: Bamboo', 'Product Dimensions: 9.84""L x 9.84""W x 4.5""H', 'Shape: Round', 'Special Feature: Eco-friendly,Foldable', 'Style: Modern', 'Number of Items: 1', 'Occasion: Wedding, Anniversary, Birthday', 'Product Care Instructions: Wipe with Dry Cloth', 'Pattern: Solid', 'Item Weight: 1 Pounds', 'Is Oven Safe: Yes', 'Is Dishwasher Safe: No', 'Item Weight: 1 pounds', 'Manufacturer: TF', 'ASIN: B08FC5HPBS', 'Country of Origin: China', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 501 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #252,640 in Home & Kitchen (See Top 100 in Home & Kitchen) #298 in Sofa Tables', 'Date First Available: August 6, 2020']",54e4f202-a43e-5859-b47e-3c81ef395b31,2024-02-02 18:54:29 +B0CKMRJ1H9,https://www.amazon.com/dp/B0CKMRJ1H9,"Montessori Learning Toddler Tower, Foldable Toddler Step Stool Kitchen Stool Helper for Kids, 4 in 1 Toddler Kitchen Step Stool Helper Standing Tower, Kids Step Stool with Chalkboard & Safety Rail",Wofafa,$79.99,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Step Stools']",https://m.media-amazon.com/images/I/51n9ojprZEL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51n9ojprZEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51TBOqWCTAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51weCt4EqdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/417+R-gLEjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51rhOdWRMNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Q-UUvnkZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51CdPsN7RpL._SS522_.jpg']",,Toddler Step Stool,Toddler Step Stool,"1""D x 1""W x 1""H","May 16, 2023",China,Wood,Wood,Modern,[],"[{'Product Dimensions': ' 1""D x 1""W x 1""H '}, {'Brand': ' Wofafa '}, {'Material': ' Wood '}, {'Color': ' Wood '}, {'Special Feature': ' Kids Step Stool '}]","['TRANSFORMABLE WONDER - Wofafa Learning Toddler Tower: Two in one! With a simple motion, this Toddler Kitchen Helper converts from a learning tower to a practical desk with a seat. Enhancing learning abilities while providing a functional space for your little one. ', "" SUPERIOR SAFETY - Embracing Montessori principles, our Learning Toddler Tower is focused on safety and stability. With rounded, polished edges and lockable hooks for added security, it's made to meet the strictest quality standards and safety regulations "", ' THE PERFECT COMPANION - Wofafa Learning Toddler Tower empowers your child with freedom of movement. Perfect for daily tasks, it increases educational stimulation and boosts self-confidence. A handy table for eating, crafting, and reading. ADD TO CART NOW! ', "" IDEAL SIZE - Wofafa Learning Tower suits your child's entire development, usable from one year and up. Easy to clean with a damp cloth, non-toxic paint, built to last. This Toddler Step is a great investment for your child's growth "", ' DURABLE CONSTRUCTION - Made from 100% solid wood, this Toddler Tower is built to withstand daily use. Its sleek lines and beautiful wood finish make it a stylish addition to any room. ', "" NORDIC DESIGN - Designed to blend seamlessly into a modern home, the Wofafa Learning Tower is the chic companion in your daily life! Wofafa children's furniture brings a touch of simple, cozy Nordic vibes to your space. "", ' ENHANCED LEARNING - The Wofafa Learning Tower is a Step Stool for Kids that supports hands-on learning. Perfect for cooking lessons, hygiene practices, and more. Unleash their potential with Wofafa!']","Wofafa Learning Toddler TowersLearning Montessori Children's Stool Natural WoodElevate the Curiosity and Creativity of Your Little OnesDiscover the Wofafa difference: Our meticulously designed learning toddler towers encourage autonomy and discovery in younger people. Whether it's the natural sturdiness of pine or the innovative convertibility of our towers, we offer the perfect solution for every home and every little explorer.Natural Pine Wood: Sturdiness and BeautyConstructed with high-quality pine wood, this Learning Toddler Tower is not only durable, but also an aesthetically pleasing piece. Its natural finish complements any space and promises years of use and exploration.Unprecedented Versatility: From Tower to Table in SecondsOur convertible towers are the perfect combination of functionality and design. Whether exploring from the heights or sitting down and immersing yourself in creative activities, the options are endless. Choose from elegant shades of light gray or white to fit perfectly into your home.MONTESSORIA LEARNING TODDLER TOWER WOOD CHILDREN'S STEPS TOABURETE CHILDRENDesigned with Love, Built to ProtectCHILDREN'S LEARNING TODDLER TOWER TODDLER STEP STOOL","['Product Dimensions: 1""D x 1""W x 1""H', 'Brand: Wofafa', 'Material: Wood', 'Color: Wood', 'Special Feature: Kids Step Stool', 'Room Type: Kids Step Stool', 'Model Name: Toddler Step Stool', 'Style: Modern', 'Is Foldable: Yes', 'Item Weight: 22 pounds', 'Manufacturer: Toddler Step Stool', 'ASIN: B0CKMRJ1H9', 'Country of Origin: China', 'Item model number: Toddler Step Stool', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 4 ratings \n\n\n 4.0 out of 5 stars', ""Best Sellers Rank: #1,054,220 in Home & Kitchen (See Top 100 in Home & Kitchen) #547 in Kids' Step Stools"", 'Date First Available: May 16, 2023']",fa53e427-fbe3-5256-9de1-4ac3ae2d8c66,2024-02-02 18:54:30 +B09K3MYL91,https://www.amazon.com/dp/B09K3MYL91,"PAK HOME Set of 2 High Gloss Brown Marble Look End Tables Round Wood Sofa Side Coffee Tables for Small Spaces, Nightstand Bedside Table for Bedroom, Living Room, Office",PAK HOME Store,$109.99,Only 12 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/51u3oxvEiSL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51u3oxvEiSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31MK29PFfHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51jO1Xb2DcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31xPx8o0o1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31bmdT6k8sL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5134041v0LL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61iZHBv7fRL.SS125_SS522_.jpg']",,,,"15""D x 15""W x 22.5""H",,,Brown Marble High Gloss / Gold Legs,Wood,Tripod,[],,"['IDEAL SIZE FOR SMALL SPACES: Fits in your space, Fits in your budget. The perfect size and height is ideal for sofa, chair, bedside as end table, night stand, side table, coffee table and tea table, indoor and outdoor. They are practical side tables for the additional need of storage and display. Lightweight design and ideal size, easy to move and carry, this coffee tea side table can be used indoor or outdoor. 21"" height with 15"" diameter (53cm height with 38cm diameter). ', ' HIGH QUALITY & MODERN DESIGN: Strong and sturdy small tables are made of high-quality wood material and metal legs. Pine Wood end tables have elegant look, durable performance, affordable and non-toxic function. Supports up to 150lb. Anti-slip plastic pad on the bottom of coffee table legs makes it more stable and prevent scratches to the floor. Round design can be placed in corners to save space. Rounded edge design can prevent potential damage and injuries. ', ' MULTI FUNCTION: Portable space saving end tables can be used as functional side table, sofa table, couch table, accent table, coffee table, tea table, plant stand, speaker stands, reading table, corner table in living room dining room and balcony, lamp table, bed side table, 2 (two) night stands for bedrooms. ', ' EASY ASSEMBLY & CLEAN: Easy to assemble in a few minutes, including all hardware components and instructions. You can easily clean with cleaning cloth the smooth and waterproof surface...mesa de centro para sala. ', ' BUY WITH CONFIDENCE: Designed and manufactured by PAK FURNITURE. The trusted source for stylish furniture for every budget. We offer 1 month money back guarantee. If you are not satisfied for any reason you can return it for a full refund, and you will have nothing to lose.']",,"['Brand: PAK HOME', 'Shape: Round', 'Room Type: Kitchen, Bathroom, Bedroom, Living Room, Home Office', 'Included Components: Assembly Guide', 'Color: Brown Marble High Gloss / Gold Legs', 'Finish Type: Gloss', 'Furniture Finish: Pine', 'Model Name: HGGREYSILVER', 'Model Number: HGGREYSETOF2', 'Target Gender: Unisex', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 756 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #196,714 in Home & Kitchen (See Top 100 in Home & Kitchen) #935 in End Tables', 'Special Feature: Portable, Lightweight, Easy Assembly', 'Base Type: Leg', 'Indoor/Outdoor Usage: Outdoor, Indoor', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Recommended Uses For Product: Coffee', 'Product Dimensions: 15""D x 15""W x 22.5""H', 'Item Width: 15 inches', 'Item Diameter: 15 Inches', 'Tabletop Thickness: 1 Inches', 'Size: 15D x 15W x 22.5H in', 'Item Weight: 13 Pounds', 'Maximum Weight Recommendation: 125 Pounds', 'Number of Items: 2', 'Frame Material: Wood', 'Top Material Type: Wood', 'Style: Modern', 'Table design: End Table', 'Pattern: Marble', 'Leg Style: Tripod', ""Occasion: Thank you & Appreciation, New Home, Congratulations, Wedding & Engagement, Women's Day""]",e50930b5-64cc-58bc-b02a-49abfd7518f5,2024-02-02 18:54:31 +B0BNL8CC5X,https://www.amazon.com/dp/B0BNL8CC5X,kukli kitchen Spring Door Mat 30 X 17 Inch - Spring Floral Welcome Doormat Indoor Outdoor Entrance Patio Floor Mat Non Slip Durable Spring Decor Rubber Mats,kukli kitchen Store,$19.99,In Stock,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/61rRHgR+aEL._SS522_.jpg,"['https://m.media-amazon.com/images/I/61rRHgR+aEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51vYOyKMGlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5192cyn0ixL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51H4G-1UFfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51uEpPBMnWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61azNujoWxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51f+LbqK0mL.SS125_SS522_.jpg']",,kukli kitchen,DOORMAT,"47""L x 17""W","December 9, 2022",USA,Color-33,Rubber,Classic,[],"[{'Brand': ' kukli kitchen '}, {'Size': ' 17""x30"" '}, {'Material': ' Rubber '}, {'Weave Type': ' Knitted '}, {'Pile Height': ' Low Pile '}]","['Spring Decoration - Welcome guests to your home with this unique, seasonal doormat. Perfect for any deck, patio, porch, veranda, bathroom, Bedroom, kitchen and outdoor indoor entryway ', ' Spring Theme Design - The size of this sping doormat is approx 30 x 17 x 0.3 inch, this low profile spring door mat is fits easily under the door. New printing technology applied stands wear and tear and keeps vivid color for a long time. ', ' Durable Spring Doormat - This sping welcome mat is made of high quality linen. The linen surface scrapping most of dirt, mud and debris keeping floor clean and tidy. High quality non-slip rubber backing prevents mat from bunching and shifting. ', ' Easy To Clean - To lightly clean, hand vacuum, sweep with a broom, or shake off. For more serious cleaning, just spray off with a hose, use a damp cloth or sponge and mild detergent to clean off dirt or yard debris. ', ' Multi-functional Sping Doormat - The non slip spring welcome mat not only can avoid moisture, dust, dirt, but also can keep a clean and comfortable environment in the areas of the home, kitchen, bathroom, bedroom and indoor & outdoor entrance. It is also a good gift for friends and neighbors.']",,"['Brand: kukli kitchen', 'Size: 17""x30""', 'Material: Rubber', 'Weave Type: Knitted', 'Pile Height: Low Pile', 'Back Material Type: Rubber', 'Color: Color-33', 'Indoor/Outdoor Usage: Outdoor, Indoor', 'Theme: Floral', 'Is Stain Resistant: Yes', 'Product Care Instructions: Machine Wash', 'Pattern: Floral', 'Shape: Rectangular', 'Special Feature: Absorbent, Fade Resistant, Stain Resistant, Non Slip, Washable', 'Room Type: Kitchen, Bathroom, Bedroom, Hallway, Dining Room', 'Product Dimensions: 47""L x 17""W', 'Rug Form Type: Doormat', 'Style: Classic', 'Occasion: Housewarming, Spring', 'Min. Required Door Width: 30 Inches', 'Number of Pieces: 1', 'Item Thickness: 0.3 Inches', 'Cartoon Character: spring,flower', 'Warranty Type: Limited', 'Is Electric: No', 'Item Weight: 1.58 pounds', 'Manufacturer: kukli kitchen', 'ASIN: B0BNL8CC5X', 'Country of Origin: USA', 'Item model number: DOORMAT', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 12 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #73,845 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #825 in Outdoor Doormats', 'Date First Available: December 9, 2022']",0a865e05-096f-5418-b62c-d4ae53ce051f,2024-02-02 18:54:32 +B0CF8HTCS4,https://www.amazon.com/dp/B0CF8HTCS4,"Dewhut Oversized Pumpkin Couch Accent Chair, Modern Comfy Velvet Upholstered Barrel Chairs, Luxury Single Sofa Armchair for Living Room, Waiting Room, Office and Vanity, (Navy)",Dewhut Store,$219.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/519KoH2aW4L._SS522_.jpg,"['https://m.media-amazon.com/images/I/519KoH2aW4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/418FYdmXxOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/519nYc4X7lL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51I8KMTNsSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qwhSNJXrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51kRZ1Tw9JL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A1fGBstn7-L.SS125_SS522_.jpg']",,Dewhut,DF391NY,"27.17""D x 28.15""W x 31.41""H","August 10, 2023",,Navy,Sponge,Modern,[],,"['[Pumpkin-shaped soft package design] The oversized round arm chair is wide and cozy, accommodating no matter what kind of body you are. Pumpkin-shaped smooth lines design, each piece is thick and independent soft Upholstered support. Sitting on it as if surrounded by warmth, suitable for relaxation after work exhaustion. ', ' [Ergonomic Design] High-density sponge does not easily collapse. Velvet fabric reading chair is skin-friendly and comfortable. The appropriate height of the armrests can give hands comfortable support, long time sitting on the arm chair will not feel tired. ', ' [Sturdy and durable] The large accent chair is made up of 4 metal legs, which are sturdy and durable. Each chair leg is equipped with foot pads to protect the floor while reducing noise. The maximum weight-bearing capacity is 300lb. ', "" [Multifunctional and Fashionable] The modern and stylish style of this boucle couchfits perfectly with the minimalist decor and furniture.Add brightness and elegance to the whole space, suitable for any living room, bedroom, office, corner or small space and other various scenes. Whether it's a living room sofa chair, bedroom chair, club chair or lounge chair, Salon chair, Fireside chair, Party chair,Tv chair,Porch chair, multiple uses can be applied. "", ' [Service] Dewhut is committed to providing families with comfortable, stylish products and quality service. We provide satisfactory solutions to quality problems and damaged parts.Dewhut will provide you with prompt, friendly customer service.']",,"['Brand: Dewhut', 'Color: Navy', 'Product Dimensions: 27.17""D x 28.15""W x 31.41""H', 'Back Style: Cushion Back', 'Special Feature: Arm Rest, Ergonomic, Cushion Availability', 'Product Care Instructions: Fabric cleaner wipe clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office, Reading', 'Maximum Weight Recommendation: 300 Pounds', 'Style: Modern', 'Pattern: Solid', 'Finish Type: Brushed', 'Room Type: Office, Waiting room, Living Room, Bedroom, Study Room', 'Shape: Round', 'Surface Recommendation: Hard Floor', 'Form Factor: Upholstered', 'Seat Depth: 20.47 inches', 'Fill Material: Sponge', 'Item Weight: 26.4 pounds', 'Manufacturer: Dewhut', 'ASIN: B0CF8HTCS4', 'Item model number: DF391NY', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 8 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #179,675 in Home & Kitchen (See Top 100 in Home & Kitchen) #316 in Living Room Chairs', 'Date First Available: August 10, 2023']",9c64a049-da82-5db2-b8dd-1683211750a6,2024-02-02 18:54:32 +B00PNJAACG,https://www.amazon.com/dp/B00PNJAACG,Toland Home Garden 800009 Gypsy Garden Flower Door Mat 18x30 Inch Outdoor Doormat for Entryway Indoor Entrance,Toland Home Garden Store,$22.98,Only 11 left in stock - order soon.,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/61gTdPHg5QS._SS522_.jpg,"['https://m.media-amazon.com/images/I/61gTdPHg5QS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61rjMYU8wLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51DKDv4iPzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51EPtwptYkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51otnn7R45L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51v7CunjnRL._SS522_.jpg']",,Toland Home Garden,800009,"30""L x 18""W","November 14, 2014",,,Rubber,Outdoor & Indoor,[],"[{'Brand': ' Toland Home Garden '}, {'Material': ' Rubber And Fabric '}, {'Item Weight': ' 1.4 Pounds '}, {'Pile Height': ' Low Pile '}, {'Construction Type': ' Handmade '}]",[''],Toland Home Garden 800009 Gypsy Garden Flower Door Mat 18x30 Inch Outdoor Doormat for Entryway Indoor Entrance,"['Brand: Toland Home Garden', 'Material: Rubber And Fabric', 'Item Weight: 1.4 Pounds', 'Pile Height: Low Pile', 'Construction Type: Handmade', 'Back Material Type: Rubber', 'Indoor/Outdoor Usage: Indoor', 'Theme: Garden', 'Is Stain Resistant: No', 'Pattern: Floral', 'Shape: Rectangular', 'Special Feature: Non slip', 'Room Type: Kitchen', 'Product Dimensions: 30""L x 18""W', 'Rug Form Type: Doormat', 'Style: Outdoor & Indoor', 'Item Weight: 1.4 pounds', 'Manufacturer: Toland Home Garden', 'ASIN: B00PNJAACG', 'Item model number: 800009', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 16 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #809,842 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #13,258 in Outdoor Doormats', 'Date First Available: November 14, 2014']",3ace3727-0e95-5fd0-ad83-fe974ba06e63,2024-02-02 18:54:33 +B0BWJLZF5G,https://www.amazon.com/dp/B0BWJLZF5G,"Sintosin Vintage Oval Mirrors for Wall Decor 11 inch, Hanging Farmhouse Wood Entryway Mirror, Distressed White Rustic Scalloped Mirror Wall Decor, Ornate Accent Sculpted Mirror for Living Room",Sintosin Store,$22.99,In Stock,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/41NiOP0+4jL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41NiOP0+4jL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41y1eozim7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51FA6F7TyUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4186NMEGU8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41xGPJX430L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31bpJDM1JrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31FRsPyrO0L._SS522_.jpg']",,,,8.1 x 0.7 x 11 inches,,,Oval,Wood,Shabby Chic,[],"[{'Brand': ' Sintosin '}, {'Room Type': ' Entryway, Living Room, Bedroom, Home Office, Dining Room '}, {'Shape': ' Oval '}, {'Product Dimensions': ' 11""L x 8.1""W '}, {'Frame Material': ' Wood '}]","['[VINTAGE OVAL MIRRORS FOR WALL DECOR] Want to have a special mirror to bright your farmhouse home? An antique oval wall mirror with the wooden frame,which features a whitewashed. The modern farmhouse look of its design gives this small mirror a warm casual feel - a style that goes with and complements most home decor. ', ' [STURDY & DURABILITY] The antique mirror is secured and embedded in the wood frame and reinforced with solid backing for added stability. ', ' [SIZE AND OCCASIONS] 11""x 8.1"". Farmhouse wall mirror looks great in your home, meanwhile you could put it on a table as a makeup mirror. As a home decorative mirror, suitable for living rooms, bedrooms, bathrooms, dining rooms and etc. ', "" [EASY TO INSTALL] Whether it's hanging on the wall or even Leaning, no need to worry about taking too much time and effort. Metal hangers are securely attached to the back for mounting in a matter of minutes. "", ' [MANUALLY MADE WOOD CRAFT] Since our products has been lightly distressed finish for a vintage feel, this part of process are proudly made in the handwork,so each product looks slightly different. Because of the nature of these items, actually the items you received are all in new condition, unless they arrive obviously damaged or defective. Due to different brand of monitors, actual colors may be slightly different from the product image.']",,"['Room Type: Entryway, Living Room, Bedroom, Home Office, Dining Room', 'Mounting Type: Wall Mount', 'Specific Uses For Product: Home Decor', 'Frame Type: Framed', 'Frame Material: Wood', 'Finish Type: Distressed Finish', 'Material: Wood', 'Shape: Oval', 'Style: Shabby Chic', 'Color: Oval', 'Theme: Antique,Farmhouse,Modern,Rustic,Vintage', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 17 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #312,743 in Home & Kitchen (See Top 100 in Home & Kitchen) #956 in Wall-Mounted Mirrors', 'Brand: Sintosin', 'Number of Pieces: 1', 'Number of Items: 1', 'Product Dimensions: 11""L x 8.1""W', 'Item Weight: 16 Ounces', 'Item Dimensions LxWxH: 8.1 x 0.7 x 11 inches', 'Assembly Required: No']",0faa9a1b-1081-5f6a-82b1-019f5461ba88,2024-02-02 18:54:34 +B0B6FML1VS,https://www.amazon.com/dp/B0B6FML1VS,"BEWISHOME Vanity Stool, Bedroom Vanity Chair with Upholstered Seat, Desk Stool Piano Stool Soft Cushioned Stool, Square 18” Height Makeup Bench, Piano Bench Vanity Bench Capacity 300lb Black FSD06H",BEWISHOME Store,$59.99,Only 19 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Vanities & Vanity Benches']",https://m.media-amazon.com/images/I/410emoPl2kL._SS522_.jpg,"['https://m.media-amazon.com/images/I/410emoPl2kL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51be9akJFhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41sgB1+x0UL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41CyC2xI5xL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41FzcKsyr3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41suiBTChtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/419YOeiQmEL._SS522_.jpg']",,BEWISHOME,FSD06H,"15.75""D x 15.75""W x 18.11""H","July 13, 2022",China,Black,,Modern,[],,"['COMFORTABLE: This modern makeup stool featuring a thickened high-density sponge cushion that offers ultimate comfort and support. This vanity bench can provide a comfortable place for you. It’s fantastically comfortable enough even sit on for extended periods of time ', ' ELEGANT DESIGN: With the elegant craft and minimal design, this seat can be used as makeup vanity bench, piano bench, entry-way bench, bedroom stool, entry bench. The stool matches with your furniture in a simple style. It will be a perfect addition to any room ', "" STURDY AND SOLID: This vanity chair comes with the solid MDF wood of frame and the solid wood legs. The quality wood and thick construction ensure that it's built to last. This vanity stool can support plenty of weight. It can hold 300lbs. This makeup bench is suitable for most people "", ' MATERIAL: E1 grade environmental MDF (frame), thick sponge with PU seat cover (cushion), EVA anti-slip mats. The EVA anti-slip mats on the bottom of the desk stool will preserve your hardwood floors or porcelain tiles from scratches or scuffs ', ' EASY ASSEMBLY: Some assembly is required. Just attaching the legs to the bench face according to the instruction. SIZE: 15.75”L x 15.75”W x 18.11”H. If you have any problem, please feel free to contact us. Your 100% satisfaction is our guarantee']",,"['Product Dimensions: 15.75""D x 15.75""W x 18.11""H', 'Color: Black', 'Brand: BEWISHOME', 'Style: Modern', 'Furniture Finish: Black', 'Seat Height: 18.11 Inches', 'Seat Width: 15.75 Inches', 'Maximum Weight Recommendation: 300 Pounds', 'Product Care Instructions: Wipe with Dry Cloth', 'Assembly Required: Yes', 'Number of Pieces: 1', 'Item Weight: 9.81 pounds', 'Manufacturer: BEWISHOME', 'ASIN: B0B6FML1VS', 'Country of Origin: China', 'Item model number: FSD06H', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 423 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #215,332 in Home & Kitchen (See Top 100 in Home & Kitchen) #245 in Vanities & Vanity Benches', 'Date First Available: July 13, 2022']",2fdb11fc-1b9d-52a1-93f8-3a67e3a23424,2024-02-02 18:54:34 +B00740P05Y,https://www.amazon.com/dp/B00740P05Y,"Children's Factory School Age High Back Lounger Kids Bean Bag Chair, Flexible Seating Classroom Furniture for Homeschools/Playrooms/Daycares, Blue/Red",Children's Factory Store,,Only 6 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Chairs & Seats', 'Bean Bags']",https://m.media-amazon.com/images/I/51ORnRyifRL._SS522_.jpg,['https://m.media-amazon.com/images/I/51ORnRyifRL._SS522_.jpg'],,No,CF610-042,30 x 28 x 27 inches,,USA,Blue-red,,Single Seat,[],,"[""FLEXIBLE SEATING FOR CLASSROOMS OR IN HOME LEARNING: Similar to standard beanbag chairs, these high-backed loungers offer a relaxed seat that will mold to your child's contours. The biggest difference is this lounger provides additional back support. Offer your tikes a fun solution for quiet time, reading nooks, and rest areas with these comfortable lounging chairs. "", ' DURABLE BEANBAG CHAIR DESIGN: This beanbag is lightweight but will endure. The cover features double-stitched seams for maximum durability. Bag comes pre-filled, but you can easily adjust the fill to your desired shape and density by purchasing a bag of extra polystyrene bead filler. (Item# B017RY17BM) AGES: 2 years and older. ', ' EASY TO CLEAN & STORE: Wipe clean material makes these bags easy to clean. When space is limited, beanbag loungers make storage a breeze due to their flexible nature. ', ' CREATE A READING NOOK FOR KIDS: As parents attempt to work from home and simultaneously homeschool their kids, alternative seating is a great way to keep children interested in each new activity. Beanbag chairs are comfy and sized appropriately to create learning or reading nooks anywhere in your house. Each nook can be designated for a different activity. The result: maximum engagement.']","A new take on the popular bean bag chair. High-Back Seating offers extra comfortable seating for one's reading enjoyment! The covers have double stitched seams for maximum durability. A fun solution for quiet time reading corners and rest areas. The flexible shape makes these chairs comfortable, easy to transport and easy to store. Replacement beads are available for purchase.","[""Brand: Children's Factory"", 'Color: Blue-red', 'Pattern: Solid', 'Special Feature: Durable,Flexible,Lightweight', 'Age Range (Description): Kid', 'Style: Single Seat', 'Included Components: Bean Bag', 'Recommended Uses For Product: Reading', 'Product Care Instructions: Wipe clean', 'Size: School Age', 'Shape: L-Shaped', 'Product Dimensions: 30 x 28 x 27 inches', 'Item Weight: 9.13 pounds', ""Manufacturer: Children's Factory"", 'ASIN: B00740P05Y', 'Country of Origin: USA', 'Item model number: CF610-042', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 5 ratings \n\n\n 4.0 out of 5 stars', ""Best Sellers Rank: #2,329,672 in Home & Kitchen (See Top 100 in Home & Kitchen) #278 in Kids' Bean Bag Chairs"", 'Is Discontinued By Manufacturer: No', 'Volume: 1 Fluid Ounces', 'Refill: Polystyrene (PS)', 'Finish types: Chaise Lounge', 'Assembly required: No', 'Batteries required: No']",83873d71-fd10-5a9e-b511-903e8e055e75,2024-02-02 18:54:35 +B0CN8NXR1Q,https://www.amazon.com/dp/B0CN8NXR1Q,"FLYJOE Shoe Rack Bench, 3-Tier Freestanding Wooden Shoe Organizer with Seat, Entryway Bench, Storage Shelf for Kitchen Living Room Bathroom Bedroom, Walnut",FLYJOE,$39.99,In Stock,"['Home & Kitchen', 'Furniture', 'Entryway Furniture', 'Storage Benches']",https://m.media-amazon.com/images/I/51WQiiIyuSL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51WQiiIyuSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nuA1SzYZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51eG6czQEvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51j6bdRVPOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Iywa6LZdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51UNerbW60L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514hbkRI4sL._SS522_.jpg']",,Flyjoe Inc.,,"12""D x 31.5""W x 16.5""H","November 13, 2023",,Rustic Walnut,,,[],,"['2 IN 1 STORAGE BENCH: The wood shoe rack organizer with sufficient space providing plenty of storage space to organize your scattered shoes from hallways, foyer, bedroom, and living room. At the same time, it is also a bench with a smooth surface, and you can sit comfortably and change shoes. ', ' CONSIDERABLE BOOTS PLACE: Winter is coming, are you still worried about not having a place to put your boots? This shoe rack has a very high storage area so that your boots or backpacks have their own location. The low section of the two-story shelf can hold four pairs of shoes, which can keep your entrance in order. ', ' STURDY & DURABLE QUALITY: These shoe racks are made of FCS certified woods, which are hard, corrosion-resistant, and durable for long time use. The boards are fixed with galvanized steel screws to ensure a firm and stable structure. The connection of the twin-screw strengthens the stability of the shoe rack so that it can bear up to 350 pounds. ', "" MULTIFUNCTIONAL USE: Simple and classic appearance makes it suitable for various decoration styles. The ingenious design increases its practicability. It's not just a shoe rack in the entrance and you can use it as a storage shelf in the living room, bathroom, kitchen, and a plant rack in the garden. "", ' LIGHTWEIGHT & EASY INSTALLATION: The product structure is very simple and easy to assemble. The instruction is provided, which includes very detailed and concise installation steps, and it will not take too much time. Once assembled, the shoe bench measures 31.5 inches long, 12 inches wide, and 16.5 inches high. In addition, it only weighs 13 lbs, so you can easily move it to where you want to place it.']",,"['Product Dimensions: 12""D x 31.5""W x 16.5""H', 'Color: Rustic Walnut', 'Furniture Finish: Walnut', 'Brand: FLYJOE', 'Product Care Instructions: Wipe clean with soft cloth!', 'Maximum Weight Recommendation: 350 Pounds', 'Seating Capacity: 2', 'Item Weight: 13 pounds', 'Manufacturer: Flyjoe Inc.', 'ASIN: B0CN8NXR1Q', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 31 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #87,135 in Home & Kitchen (See Top 100 in Home & Kitchen) #66 in Storage Benches', 'Date First Available: November 13, 2023']",c118a4dc-505e-512f-ba76-bd4e56569556,2024-02-02 18:54:36 +B0CH862BV2,https://www.amazon.com/dp/B0CH862BV2,"FLYZC Counter Height Bar Stools Set of 4, Stools for Kitchen Island Set of 4, 24 Inch Counter Height Stools Saddle Barstools Stools for Kitchen Counter Pub Bar Dining Room Support 300 LBS(Grey)",FLYZC Store,$219.99,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/51jw0SXQMWL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51jw0SXQMWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41GdDdRfYJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51I2o95pUnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51c4u85i1HL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41aAgo+kzUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VHQ3xu50L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71qzzS7QzmL.SS125_SS522_.jpg']",,FLYZC,,"12.52""D x 17.72""W x 24.49""H","September 4, 2023",,Grey & Black,,Straight,[],,"['👍【Saddle Stools Seat Cushion】3.74 inch thick padded counter stools provide with more comfortable sitting posture. The ergonomic design bar stools cushion will bring you perfect sitting experience. Tight stitching and water resistance, water will not penetrate the sponge inside, making the counter height bar stools quite easy to clean. ', ' 😊【Anti-slip Pads & Dual Footrest】Bar stools set of 4 has built-in adjustable feet, which can be adjusted to maintain the balance of the stools for kitchen counter on uneven floors and to prevent noise and floor scratches. Our counter height bar stools offer dual footrests for better supporting your feet, ensuring more rest and support point. ', ' 💪【Triangular Load-bearing Design】Industrial modern bar stools with 4 triangular load-bearing designs, provide the safest security no matter what kind of sitting position. Bar stools frame bases take chromed metal steel frame and quality craft welding technology. The brown bar stools can be used for years without problems. ', "" 🪑【Easy to Store】Barstools the Maximum Weight Recommendation is about 300lb weight capacity to ensure structural stability of barstools. The assembled size of each stools for the kitchen counter is: 12.5''D x 17.7''W x 24.5''H, suitable for a tables height of 34''-40''. You can slide the stool right under the bar or counter. Backless barstools are properly stored and tucked under counter, saving space for your house "", ' 💯【100% Bar Stools】Combining classic and stylish design styles, these bar stools are perfect for the cafe, bistro, farmhouse bar, pub, kitchen island, living room, bedrooms, and dining area. Customers satisfaction is our top priority. We believe you will love our counter height bar stools as much as we do! If you have any questions, please contact us. Our service team will provide premium service to help solve any bar stools set of 4 the problem and get back to you within 24 hours.']",,"['Product Dimensions: 12.52""D x 17.72""W x 24.49""H', 'Color: Grey & Black', 'Brand: FLYZC', 'Size: 24"" Set of 4 with Nailhead Trim', 'Style: Modern', 'Furniture Finish: Metal', 'Seat Height: 24.5 Inches', 'Leg Style: Straight', 'Seat Width: 17.7 Inches', 'Maximum Weight Recommendation: 300 Pounds', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 4', 'Item Weight: 47.7 pounds', 'Manufacturer: FLYZC', 'ASIN: B0CH862BV2', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 368 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #105,111 in Home & Kitchen (See Top 100 in Home & Kitchen) #146 in Barstools', 'Date First Available: September 4, 2023']",3ac8eccd-7bb2-56f9-a47b-39206ee87dc8,2024-02-02 18:54:37 +B0B3HM3FTZ,https://www.amazon.com/dp/B0B3HM3FTZ,SITMOD Gaming Chairs for Adults with Footrest-Computer Ergonomic Video Game Chair-Backrest and Seat Height Adjustable Swivel Task Chair with Lumbar Support(Gray)-Fabric,SITMOD Store,$179.00,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Gaming Chairs', 'Computer Gaming Chairs']",https://m.media-amazon.com/images/I/41bntfm39UL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41bntfm39UL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Q9m0oNt5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/410o5XkVskL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/316sWoqwLLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31TUXFm62HL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41k+8IuCRHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71hgGm0RvQL.SS125_SS522_.jpg']",,SITMOD,,"20""D x 23""W x 52""H","June 8, 2022",China,Grey,Memory Foam,With arms,[],,"['【Suitable For Gaming and Work】SITMOD is dedicated to making the best gaming chair and creating the perfect game experience for pro gamers. Dimensions: 23""(W) x 20""(D) x 49-52""(H)/ 70cm(W) x70cm(D) x125-133cm(H),Seat Panel (20.5""x 20.8""/ 52cm x 53cm),Back Panel (22""x 32.6""/ 56cm x 83cm),Height Adjustment: 3.2"" ', ' 【Good Choice for Gaming or Working】SITMOD gaming chair is designed according to the human body structure, the seat cushion is made of soft and high-density thicken sponge filling to avoid the soreness of sedentary. Its appearance is similar to a racing seat. make this gaming chair as a perfect choice for game rooms or modern offices. Choose us, and improve your gaming or working experience! ', ' 【High Quality Material】SITMOD ergonomic office chair adopts a solid thick steel frame and a high-back ergonomic design, allowing you to relax after gaming and office, heavy duty nylon base are able to withstand up to 300 lbs. Carbon fiber and Fabric material, provide you a better touch feeling, SGS certified 4-level cylinder, provides more safe protection for you. ', ' 【Comfortable Computer Chair】360° Swivel, chair back can be reclined at any angle between 90°-150°for working, gaming, reading or napping ,retractable footrest for sleeping. When the seat is tilted, the upholstered armrest will reach a comfortable sleep state as the chair expands and contracts. It can also adjust the functions of pillows and waist support to provide you with a full range of comfort. ', ' 【Worry-Free Purchase】At SITMOD, CUSTOMER SATISFACTION & QUALITY WORK are our top priorities. If you have any problems after receiving the package, please feel free to contact us.If you are not satisfied with your purchase at any point and for any reason, you can return it with no questions asked. No need to send back the product.If you have any questions or need to replace parts, please contact us, we will make you 100% satisfied']",,"['Brand: SITMOD', 'Color: Grey', 'Product Dimensions: 20""D x 23""W x 52""H', 'Size: P-11', 'Back Style: Solid Back', 'Special Feature: Foot Rest, Ergonomic, Adjustable Backrest, Adjustable Height, Swivel, Adjustable Lumbar, Arm Rest, Head Support, Rolling, Portable, Reclining, Cushion Availability, Breathable', 'Product Care Instructions: Wipe Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: gaming room bed room', 'Maximum Weight Recommendation: 300 Pounds', 'Style: Modern', 'Pattern: Solid', 'Finish Type: Brushed', 'Room Type: Game Recreation Room', 'Age Range (Description): Adult', 'Included Components: User Manual', 'Arm Style: With arms', 'Surface Recommendation: gaming room', 'Seat Back Interior Height: 32.6 Inches', 'Form Factor: Ergonomic', 'Fill Material: Memory Foam', 'Item Weight: 42 pounds', 'Manufacturer: SITMOD', 'ASIN: B0B3HM3FTZ', 'Country of Origin: China', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 1,151 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #13,178 in Home & Kitchen (See Top 100 in Home & Kitchen) #21 in Computer Gaming Chairs', 'Date First Available: June 8, 2022']",a2faf888-34bf-57ff-bd7c-64af98415538,2024-02-02 18:54:37 +B07JCPZDSL,https://www.amazon.com/dp/B07JCPZDSL,"CM Cosmos Stuffed Animal Storage Bean Bag Chair Stuffable Zipper Beanbag Stuff and Sit Bean Bag for Organizing Soft Plush, Size 22.5'', with Handle",CM Store,$11.77,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Chairs & Seats', 'Bean Bags']",https://m.media-amazon.com/images/I/41XEtwrKqoL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41XEtwrKqoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51LAhOgq+WL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61iWL25ltIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Cvq6cWTvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51FB4TnB6iL._SS522_.jpg']",,No,,"22.5""D x 22.5""W x 22.5""H","October 12, 2018",,Grey & White,,,[],,"['This storage bag made of canvas, high-quality and sturdy. Great housework helper for soft plush. ', ' Color: white/ gray stripe; Package Included:1 piece bean bag. ', ' Size: 22.5 inch length; Weight: 316g ', ' Zipper design with canvas material, easy to clean and machine washable. ', ' This storage chair can be used for Storage stuffed animals, towels, out grown clothes, extra blankets and pillows, creating a fun bean bag chairetc.']","Stuffed Animal Storage Bean Bag Chair Stuffable Beanbag Stuff and Sit Bean Bag for Organizing Soft Plush, Size 22.5'', with Handle.This storage chair can be used for Storage stuffed animals, towels, out grown clothes, extra blankets and pillows and more, creating a fun bean bag chair. Also, it's a great way to add seating to your room while storage.","['Brand: CM', 'Color: Grey & White', 'Product Dimensions: 22.5""D x 22.5""W x 22.5""H', 'Pattern: Striped', 'Special Feature: Sturdy', 'Age Range (Description): Adult', 'Item Firmness Description: Soft', 'Size: Medium', 'Shape: Round', 'Item Weight: 11.7 ounces', 'Manufacturer: CM', 'ASIN: B07JCPZDSL', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 180 ratings \n\n\n 4.1 out of 5 stars', ""Best Sellers Rank: #1,578,084 in Home & Kitchen (See Top 100 in Home & Kitchen) #183 in Kids' Bean Bag Chairs"", 'Is Discontinued By Manufacturer: No', 'Date First Available: October 12, 2018']",b6af8ab6-82ea-5283-a06a-519a65fec39b,2024-02-02 18:54:38 +B09V6RSWSR,https://www.amazon.com/dp/B09V6RSWSR,"Cionyce 4 Pcs Sectional Couch Connectors, Pin Style Furniture Connector Sectional Sofa Connector Bracket(Black)",Cionyce,$11.79,In Stock,"['Home & Kitchen', 'Furniture', 'Replacement Parts', 'Sofa Parts']",https://m.media-amazon.com/images/I/41sejv2mO6L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41sejv2mO6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41R9C-fmSWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41X2WCH8qUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VxybwjbML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4180Fp1sOgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51HdtSg9bbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ww2p+KvRL._SS522_.jpg']",,Cionyce,TUOHAI00220313-001,7.2 x 4.8 x 1.46 inches,"March 10, 2022",,,,,[],[],"['【Connect Your Sofa】Cionyce sofa connector keeps your furniture together! Prevents furniture from sliding, making the sofa more unified and complete, allowing you to experience the sofa no longer slipping and separating. ', ' 【Pin Design】Sectional couch connectors adopts a pin design to connect furniture stably and reliably, so that the sofas can be tightly connected. ', ' 【Sturdy & Durable】Sofa interlocking connector is made of high-quality thickened material, with high hardness, not easy to be broken or deformed, and can support long-term use. ', ' 【Wide Scope of Application】The mounting hole distance of the sectional furniture connector is 2 inches (52mm), which is suitable for modular sofas, chairs, beds and other modular furniture. ', "" 【Excellent After-Sales Service】 We focus on quality and after-sales service. If you are dissatisfied with our products, please let us know. We promise to give you 100% satisfactory after-sales service. No risk. Don't hesitate. Just buy it.""]","Cionyce is a company that pursues high-quality products and takes pride in customer satisfaction, and strives to provide the safest, most satisfactory and most convenient shopping experience for our customers. 4 Pcs Sectional Couch Connectors, Pin Style Furniture Connector Sectional Sofa Connector Bracket(Black) Specification Color: Black Design: Pin Style Mounting Hole Distance: 2 inches (52mm) Package Contains 4 x Sectional Couch Connectors Why Choose Cionyce? Sofa interlocking connector is reliably connects the modular sofa together, reducing the trouble of your sofa sliding and keeping your sofa neat and consistent. Our sofa connectors are easy to operate, quick to install or remove, compatible with most sofas and ideal for sofa replacement parts. Excellent after-sales guarantee: We provide you with comprehensive after-sales service. No risk. If you have any questions, we will patiently answer them for you. If you are not satisfied with our products, please let us know. We promise to give you 100% satisfactory after-sales service.","['Package Dimensions: 7.2 x 4.8 x 1.46 inches', 'Item Weight: 7.3 ounces', 'Manufacturer: Cionyce', 'ASIN: B09V6RSWSR', 'Item model number: TUOHAI00220313-001', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 8 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #910,950 in Home & Kitchen (See Top 100 in Home & Kitchen) #344 in Sofa Replacement Parts', 'Date First Available: March 10, 2022']",08e66f1c-9da2-53b9-a2f4-aabffe851727,2024-02-02 18:54:38 +B0BWDJ8NSM,https://www.amazon.com/dp/B0BWDJ8NSM,"Tiita Saucer Chair with Ottoman, Soft Faux Fur Oversized Folding Accent Chair,Lounge Lazy Chair, Metal Frame Moon Chair for Bedroom, Living Room, Dorm Rooms, Garden and Courtyard",Tiita Store,$139.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/51C5YkDdUyL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51C5YkDdUyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cQ9OP3d5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4132GXhykrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41H0vBmb1vL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41gH-mzHBDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515FFf28cCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ENPkz2zPL.SS125_SS522_.jpg']",,Tiita,saucer chair,"21.6""D x 23.6""W x 31.5""H","February 21, 2023",,Beige With Ottoman,,Garden,[],,"[""Comfy Chair with Ottoman for Bedroom: Sitting in a comfortable saucer chair is most girls' childhood dream. Our chic saucer chair is designed to look like real animal fur but made completely out of polyester faux fur. Plus, Our saucer chair comes with a 3-year quality guarantee. If you have any product-related inquiries, please reach out to us, and we'll respond within 12 hours to assist you until the issue is resolved. "", ' Strong and High-quality Living Room Chairs with Footrest Stool: The moon saucer chair for bedroom is crafted with a strong steel frame and legs, it supports up to 330 lbs, safe sturdy and durable. The foot pads on the metal frame at the bottom of the chair not only prevent the lounge chair for bedroom from tilting and sliding, but also protect the floor from scratches. ', ' Lightweight and Folding Accent Chairs Sets: This modern accent chair is light, easily portable. No assembly is required, just fold open and sit down to start using this aesthetic chair. When not in use, making it easy to hide this living room chair out of sight. This is ideal for small corners or bedrooms. ', ' Spacious Size of Oversized Moon Chair: 23.6”Length x 21.6”Width x 31.5"" Height. This size can easily accommodate an adult. It is big enough to have enough space to relax and stretch and enjoy full relaxation. ', ' Versatile Use of Comfy Lounge Chair: Add a fun, cozy touch to dorm rooms, lofts, reading nooks and more with this comfy seat. Also it can add special charm for your outdoor camping, hiking. The lounge chair isn’t just for adults to relax in - it’s great saucer chair for kids and teens. You can even put your pet on a chair to accompany you. In addition, you can also give it as a gift to your family or friends, Christmas gifts.']",,"['Brand: Tiita', 'Color: Beige With Ottoman', 'Product Dimensions: 21.6""D x 23.6""W x 31.5""H', 'Size: square chair', 'Back Style: Open backrest', 'Special Feature: Foldable', 'Product Care Instructions: Local cleaning', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Bedroom,Living Room,Lounge', 'Maximum Weight Recommendation: 330 Pounds', 'Style: Garden', 'Pattern: Solid', 'Finish Type: Polished', 'Room Type: Living Room, Bedroom', 'Age Range (Description): Adult', 'Included Components: Ottoman', 'Shape: Square', 'Surface Recommendation: Hard Floor', 'Furniture base movement: Glide', 'Indoor/Outdoor Usage: Outdoor', 'Form Factor: Foldable', 'Seat Depth: 21.6 inches', 'Item Weight: 13 pounds', 'Manufacturer: Tiita', 'ASIN: B0BWDJ8NSM', 'Item model number: saucer chair', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 309 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #72,598 in Home & Kitchen (See Top 100 in Home & Kitchen) #66 in Living Room Chairs', 'Date First Available: February 21, 2023']",8b85369f-c20b-5e61-baf3-46ead5b2dba7,2024-02-02 18:54:39 +B0C289KQNK,https://www.amazon.com/dp/B0C289KQNK,Grandmother Birthday Gifts Compact Makeup Mirror for Glamma for Grandma Grandma Gifts from Grandchildren Folding Makeup Mirror for Nana Christmas Thanksgiving Gifts,Mwphuy Store,$9.99,Only 10 left in stock - order soon.,"['Beauty & Personal Care', 'Tools & Accessories', 'Mirrors', 'Makeup Mirrors']",https://m.media-amazon.com/images/I/417J95lDDaL._SS522_.jpg,"['https://m.media-amazon.com/images/I/417J95lDDaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41MdMDlEp1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41HrKoIn7IL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41V0KD4IgoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ajfP6o-RL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51FxQr0DYHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Dt7D6DDsL._SS522_.jpg']",,,,"2.6""L x 2.6""W",,,For Grandmother,Stainless Steel,,[],"[{'Brand': ' Mwphuy '}, {'Shape': ' Round '}, {'Product Dimensions': ' 2.6""L x 2.6""W '}, {'Frame Material': ' Stainless Steel '}, {'Mounting Type': ' Tabletop Mount '}]","[""Grandmother Gifts for Women:Still looking for the perfect gift for grandma?\xa0This compact makeup mirror engraved with some words would be a great choice as a gift to remind your beloved grandmother.\xa0Make sure you see a smile on her face every day!\xa0An unexpected gift is a moment of pure joy for both the recipient and the giver.\xa0It doesn't have to be expensive, but it's impressive. "", ' Grandma Gifts for Birthday:The folding makeup mirror could be perfect gifts for grandma, small Christmas gifts for women, thanksgiving gifts, gifts for new grandma, granny gifts, presents for grandma, new grandma gifts for the first time, grandma to be gifts, retirement gifts for women, nana, mimi gifts from granddaughter, gifts for the first time grandmothers. ', "" Thank You Gifts for Grandma:It is especially suitable as a perfect gift for grandmother birthday gifts, Mother's Day gifts, Thanksgiving gifts, Christmas gifts, anniversary gifts, retirement gifts, Easter gifts and other special days.\xa0The grandmother pocket makeup mirror ever designed specifically for grandma, whether it is a gift for grandma or everyday use,\xa0is the best choice for expressing love. "", ' Portable Compact Makeup Mirror:1 side is a standard mirror to help ensure that your lipstick, eyeliner and hair are in perfect condition and the other side is a magnifying mirror, an exceptionally clear image without distortion. Make sure the girl is getting the perfect look, and also allow her to check the tiniest details of your makeup.Ideal for daily use. ', ' Nana Gifts from Granddaughter:Folding mini pocket mirror packed in elegant velvet bag, and ready for gift giving. Mini size 2.6 inch/65mm.This compact mirror is light weight and very compact, perfect for multi-purses and travel. It easily fits into your pocket, purse, handbag, cosmetic bag, so you can put on makeup anytime, anywhere.']",,"['Mounting Type: Tabletop Mount', 'Special Feature: Foldable', 'Frame Type: Framed', 'Frame Material: Stainless Steel', 'Material: Stainless Steel', 'Shape: Round', 'Color: For Grandmother', 'Theme: Christmas,Thanksgiving', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 1 rating \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #238,530 in Beauty & Personal Care (See Top 100 in Beauty & Personal Care) #940 in Personal Makeup Mirrors', 'Brand: Mwphuy', 'Number of Pieces: 1', 'Number of Items: 1', 'Product Dimensions: 2.6""L x 2.6""W', 'Assembly Required: No']",381913f9-c208-53a2-bd1a-748a901da7e9,2024-02-02 18:54:39 +B0B75Z1T2H,https://www.amazon.com/dp/B0B75Z1T2H,"GIA 24-Inch Counter Height Square Backless Metal Stool with Holstein Cow Print Upholstery, Black, Qty of 2",GIA Store,$42.49,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/414M2Vz5YjL._SS522_.jpg,"['https://m.media-amazon.com/images/I/414M2Vz5YjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wFhXoNiHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/417wYZOrTIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41RnmkcADsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+W+YsTYBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41-YtNDce8L._SS522_.jpg']",,GIA,M06-24BK_MILK COWFB_2_VC22,"15""D x 20""W x 24""H",,China,Black,,Straight,[],,"['100% Fabric ', ' Show off your wild and creative side in any dining area, living space, or kitchen ', ' Stylish patterns to choose from: classic black and white Holstein cow print, traditional brown and white Ayrshire cow print, mesmerizing Zebra, and striking Leopard patterned upholstery ', ' Ideal for kitchen counters, bars, and islands with a height of 24 inches ', ' Hassle free assembly within minutes ', ' Sturdy metal frame that has a matte black finish ', ' Is Assembly Required: True']","Show your wild side with GIA’s colorful and bold animal print bar stools with footrests. Each black metal bar stool is rectangular and features a colorful animal print upholstery. GIA’s colorful and wild print bar stools are an idea for adding to a kitchen counter, bar, island, or in any room that needs to show off its wild side. Choose from the mesmerizing Zebra print, classic black and white Holstein cow print, traditional brown and white Ayrshire cow print, and striking leopard print. Each metal bar stool has a black frame with a footrest. The 24-inch height makes these stools pair well with 35 to 37-inch table heights. Some minimal assembly is required.","['Product Dimensions: 15""D x 20""W x 24""H', 'Color: Black', 'Brand: GIA', 'Size: Qty of 2', 'Style: Holstein Cow Print', 'Furniture Finish: Black', 'Seat Height: 24 Inches', 'Leg Style: Straight', 'Maximum Weight Recommendation: 300 Pounds', 'Product Care Instructions: Wipe with Dry Cloth, Spot Clean', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 23.4 pounds', 'Manufacturer: GIA', 'ASIN: B0B75Z1T2H', 'Country of Origin: China', 'Item model number: M06-24BK_MILK COWFB_2_VC22', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 92 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #718,388 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,729 in Barstools', 'Fabric Type: 100% Fabric', 'Batteries required: No', 'Included Components: Bar Stool, Tools, Hardware, and Instructions']",e55f67c8-3f90-522f-b440-57f90df34d8e,2024-02-02 18:54:40 +B0B24KQJS9,https://www.amazon.com/dp/B0B24KQJS9,Vintage Desktop Apothecary Cabinet with 3 Drawers - Solid Wood Medicine Cabinet for Tabletop - Rustic Card Catalog Drawers with Label Holders - Desktop Chest Drawer for Storage and Organization,Woodaholic,$54.99,In Stock,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Dressers']",https://m.media-amazon.com/images/I/41yz4PMNd0L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41yz4PMNd0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NXZs02frL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512ttaMk2UL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51WOLQyZUML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/510NGkKDFjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515NpY4IiXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51rEBkdP1-L._SS522_.jpg']",,Primeo Limited,TINY-APOCATHERY-DRAWER,"10.5""D x 13.5""W x 13.5""H","May 24, 2022",,Mahogany Wood Brown,Wood,"drawer,wood",[],,"['Beautifully-Made Apothecary Cabinet with Drawers - Fall in love at first sight with the Woodaholic Desktop Medicine Chest not just for its gorgeous rustic design but more for the convenience it brings. The 2 small drawers are perfect for organizing tiny items like pins, thumbtacks, beads, meds or even tea bags, while the bottom large drawer is perfect for storing memos, cards, cables, pens & more ', "" Small Wooden Craft Cabinet with Character - The perfect addition to your collection of wooden oriental furniture, our 3-drawer rustic medicine cabinet will instantly accentuate your wooden dresser, kitchen wood table top, or home office desk. Avid fans of vintage or antique furniture won't think twice in having our vintage apothecary box with drawers because of its traditional look "", "" Superb Craftsmanship to Last for Years - Whether used as a small medicine cabinet, library drawer, wooden card catalog organizer, oriental chest for tea storage or herbal apothecary, our wooden 3-drawer desktop organizer is sure to last generations. As it's made from premium quality solid wood, you can definitely make the most out of this oriental table organizer "", "" Antique Chest Drawers For Any Space - Having a small footprint of 13.5x10.5 inches, you'll never have a hard time figuring out if this unique small apothecary cabinet will fit your space. While being a clever decluttering solution, our small chest drawers will not only free up desk space but will also add more as you can definitely put more storage or decor on top of this wooden apothecary cabinet "", ' Especially Made for You - By choosing a sustainable & reliable material, Woodaholic products are made to provide you with easily accessible home solutions. So if there is anything about our wood table top organizer that is not at par with your expectations, please reach out to us so we can make things better. This small drawer apothecary box is designed with your needs in mind']",,"['Brand: Woodaholic', 'Color: Mahogany Wood Brown', 'Product Dimensions: 10.5""D x 13.5""W x 13.5""H', 'Special Feature: Portable', 'Mounting Type: Table Mount,Tabletop', 'Room Type: Bathroom, Home Office', 'Door Style: drawer,wood', 'Included Components: Card Catalog Drawers with Label Holders', 'Finish Type: Brushed', 'Size: Small', 'Shape: Rectangular', 'Number of Shelves: 3', 'Number of Pieces: 1', 'Item Weight: 6.54 Pounds', 'Top Material Type: Wood', 'Back Material Type: Wood', 'Manufacturer: Primeo Limited', 'Part Number: TINY-APOCATHERY-DRAWER', 'Item Weight: 6.54 pounds', 'Item model number: TINY-APOCATHERY-DRAWER', 'Finish: Brushed', 'Item Package Quantity: 1', 'Special Features: Portable', 'Usage: Kitchen,Pens', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B0B24KQJS9', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 12 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #559,249 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,038 in Dressers & Chests of Drawers', 'Date First Available: May 24, 2022']",ed95789c-261c-5ce1-9db4-c626725a1b55,2024-02-02 18:54:41 +B07W56HHX5,https://www.amazon.com/dp/B07W56HHX5,"WAYTRIM Dresser Storage Tower, 4 Fabric Organizer Drawers, Wide Chest of Drawers for Closet Boys & Girls Bedroom, Bedside Furniture, Steel Frame, Wood Top, Fabric Bins, Easy Installation (Camel)",WAYTRIM Store,,Temporarily out of stock.,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Dressers']",https://m.media-amazon.com/images/I/41DfHAtQUKL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41DfHAtQUKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+6XI-xIrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41aP0m2EgvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51MIp6JEacL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51MhnF2ZC8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41+0BwZzyBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51JBtZiSPRL.SS125_SS522_.jpg']",,WAYTRIM,SO006CAM,"12""D x 23""W x 37""H","August 5, 2019",China,Camel,,Modern,[],,"['⌚【Multiple Choice】: 4 drawers with top-shelf. Overall Dimension: 22.83(L) x 11.81(W) x 37(H) inches. Drawer Dimension: 20.87(L) x 11.02(W) x 8.27(H) inches. Please feel free to contact us when you have any questions before & after purchase. ', ' 📱【Modern design】: looks great in any space – living rooms, bedrooms, hallways, entryways, closets, nurseries, etc. This dresser nightstand only takes up small space while still provide plenty of storage space. ', ' 💻【Material】: Fabric Non-woven fabric drawer can be wiped directly with a wet cloth; Solid MDF board with Waterproof design; Easy pull drawers with wooden handles for smooth opening and closing. ', ' 🖨【Easy installation】: Clear manual, all screws, and tools are offered in the package. Very simple installation. Just install the handle of the drawer. We have already installed the rest for you ', ' 🖱【Sturdy Durable】: Anti-tipping system can protect you from any hurt. High-quality strong steel frame; Adjustable feet with plastic cover protect your floor.']",,"['Brand: WAYTRIM', 'Product Dimensions: 12""D x 23""W x 37""H', 'Color: Camel', 'Style: Modern', 'Mounting Type: Freestanding', 'Room Type: Bedroom,Living Rooms', 'Special Feature: Adjustable Feet', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Model Name: SO006CAM', 'Size: 22in', 'Number of Pieces: 1', 'Manufacturer: WAYTRIM', 'Part Number: SO006CAM', 'Item Weight: 19.66 pounds', 'Country of Origin: China', 'Item model number: SO006CAM', 'Item Package Quantity: 1', 'Special Features: Adjustable Feet', 'Included Components: storage dresser', 'Batteries Required?: No', 'ASIN: B07W56HHX5', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 93 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #572,916 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,239 in Dressers & Chests of Drawers', 'Date First Available: August 5, 2019']",16428a22-55b3-557f-b437-e350c36a9e34,2024-02-02 18:54:41 +B0BHVLGGYL,https://www.amazon.com/dp/B0BHVLGGYL,"Power Recliner Power Supply Kit-4-Piece Universal Dual Power Supply Transformer with AC Power Cord, DC Extension Cable and Y Splitter Cord 29V 2A Adapter for Recliner, Lift Chairs and Sofa",Sopito Store,$24.99,In Stock,"['Home & Kitchen', 'Furniture', 'Replacement Parts', 'Recliner Parts']",https://m.media-amazon.com/images/I/51N6Zq4kxxL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51N6Zq4kxxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51BRcpf7JML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/411eSH4CnNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41zyaNE4XbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Ba298rwbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41jSjGNR82L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/81BwE-za-IL.SS40_SS522_.jpg']",,Sopito,LAA002I,9.53 x 3.9 x 1.97 inches,"October 11, 2022",China,,,,[],"[{'Brand': ' Sopito '}, {'Connector Type': ' 2-Pin '}, {'Compatible Devices': ' OKIN, Limoss and Tranquil Ease Lift Chair, Cheers electric sofa and Power Recline DeltaDrive and BetaDrive Motors See more '}, {'Included Components': ' An adapter, a 2 pin Y splitter cord, a 6 feet AC power cord, a 4 feet DC extension cable '}, {'Special Feature': ' Lift Chair Power Supply Transformer, For Recliner Sofa, 2-Pin Power Adapter, For Power Recliners '}, {'Color': ' black '}, {'Input Voltage': ' 240 Volts (AC) '}, {'Amperage': ' 2 Amps '}, {'Total USB Ports': ' 2 '}, {'Wattage': ' 58 watts '}]","['PARAMETER: Input: AC 100-240V,1.5-2.0A, 50/60Hz; Output: DC 29V 2.0A. ', ' UNIVERSAL COMPATIBILITY: Switching power supply transformer fully compatible with OKIN, Limoss and Tranquil Ease Lift Chair, Cheers electric sofa and Power Recline DeltaDrive and BetaDrive Motors with a two pin (flat & round) connection to the motor. ', ' COMPATIBLE MODEL: Power recliner transformer compatible with Part Numbers(include but are not limited): ZBHWX-A290020A,W52RA73-290018, HXY-270V2220A, KDDY001, KDDY008, ZB A29002 etc. ', ' POWERS DUAL MOTOR: The Y Splitter Cable lets you power up dual recliners with one cord, such as loveseat, sectional sofa, or even your home theatre seating system. ', ' KIT INCLUDES: 1 x Power Adapter, 1 x 6 Feet( 72 inch) AC power cord, 1 x 4 Feet( 48 inch) DC extension cable, 1 x 0.36Feet( 4.32 inch) Y Splitter Cable.']",,"['Package Dimensions: 9.53 x 3.9 x 1.97 inches', 'Item Weight: 13.7 ounces', 'ASIN: B0BHVLGGYL', 'Item model number: LAA002I', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 100 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #151,445 in Home & Kitchen (See Top 100 in Home & Kitchen) #72 in Recliner Replacement Parts', 'Date First Available: October 11, 2022', 'Manufacturer: Sopito', 'Country of Origin: China']",e4750d43-96c1-5607-963d-86d007a59c67,2024-02-02 18:54:42 +B09ZQM2FX3,https://www.amazon.com/dp/B09ZQM2FX3,"Anna Stay Wine Rack Wall Mounted - Decorative Wine Rack with Wine Glass Holder, Wall Mounted Wine Rack inc Cork Storage & Wine Charms, Wine Gifts with Wine Bottle Holder for Wine Decor",TRIVETRUNNER -ANNA STAY Store,,,"['Home & Kitchen', 'Kitchen & Dining', 'Storage & Organization', 'Racks & Holders', 'Wine Racks & Cabinets', 'Wall-Mounted Wine Racks']",https://m.media-amazon.com/images/I/51K1wX04DXL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51K1wX04DXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51RdArX3OvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51oBGNmOEcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514RbnKmr6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51hWyX7Vo6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51u8nie-IYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gn+Zq3YJL._SS522_.jpg']",,,Wine Gold,"8""D x 17""W x 4""H","May 7, 2022",,Wine Gold,,Modern,[],,"['Exclusive Custom Design Metal Gold Wall Mount Holder– These beautifully unique gold wine holders are made by artist Anna Stay, and help you create lifelong memories with friends over a nice red or white wine! with a decorated wine bottle and glasses holder, wine hanging decor ', ' Pop the Cork on a New Bottle – The Global Wine Bar- is a wine glass rack stores all your favorite brands and blends, corks, and your wine glasses in single smart, neatly organized with our wine metal decor system. ', ' Quick & Easy Installation – Each wine holder can be installed in the kitchen, dining room, or wherever you want to enjoy a deliciously fresh bottle, always ', ' Beautiful Wine Lover’s Gift – This wall-mountable red wine holder also makes a smart choice thanks to the four built-in wine glass holders and extra wine cork holder with a cork tray. ', ' Wine Glass Charms gift box Included- The wine rack wall mounted and bottle holder Includes an elegant box of 6 different Fun Wine Glass Cork Charms. The charms ensure that you and your guests never lose wine glasses at a party again, as they attach to the stem, with an inspiration word to be chosen every occasion such as Love, Live, Laugh, Dare, Dream and Cheers. These can also be stored in the wine glass holder']","Gold Wine Rack Home decor to kit Keep a deliciously bold red or fresh, crisp white wine within reach of dinner with a premium wine bottle holder from Anna Stay Whether you love a good bottle of white wine with dinner now and again, or you’re a true wine enthusiast, you want a smart and decorative way to keep your bottles, glasses, and system organized and trendy. That’s why we created this Anna Stay Wine Glass Holder universal wine bottle holder, complete with cork storage section, that makes it a great addition to your kitchen, dining room, or living space. Make Unforgettable Memories More than style and functionality, these cute wine holders help bring people together to share their love of wine and great stories to create unforgettable memories. A wonderful addition to holiday parties, intimate holiday gatherings, and special occasions in your life, get one today and always keep the good times going strong. Exclusive Design These premium wine bottle holders were designed by artist Anna Stay, who understands the careful balance between style, function, and convenience. A beautiful piece that comes with the words “Wine” on the front, you’ll love mounting it in your kitchen ,dining room or your home wine bar. Product Details:Decorative Wine Holder Holds Standard-Sized Bodies Heavy-Duty Black Metal Finish Easy to Mount Two Style Variations: Wine or Home Includes 4 Wine Glass Holders and Cork Tray One Full year ,no questions asked, product warranty Get this versatile wine bottle holder now by clicking ‘Add to Cart’ above and enjoy the style and functionality it offers for the modern kitchen or home.","['Brand: TRIVETRUNNER -ANNA STAY', 'Color: Wine Gold', 'Product Dimensions: 8""D x 17""W x 4""H', 'Finish Type: Metal', 'Style: Modern', 'Product Care Instructions: Wipe with Dry Cloth', 'Bottle Count: 5.00', 'Item Weight: 3 pounds', 'Item model number: Wine Gold', 'ASIN: B09ZQM2FX3', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 7,037 ratings \n\n\n 4.8 out of 5 stars', 'Best Sellers Rank: #57,857 in Kitchen & Dining (See Top 100 in Kitchen & Dining) #27 in Wall-Mounted Wine Racks', 'Date First Available: May 7, 2022']",f7fcc71e-0cfb-557a-9a89-5f45c63a9b69,2024-02-02 18:54:43 +B0CB5G1BHX,https://www.amazon.com/dp/B0CB5G1BHX,"Lufeiya Small Computer Desk with 2 Drawers for Bedroom, 31 Inch Home Office Desk with Storage Fabric Drawer and Bag, Study Writing Table for Small Spaces, Rustic Brown",Lufeiya Store,$67.90,In Stock,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Desks']",https://m.media-amazon.com/images/I/41zNNJV-QUL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41zNNJV-QUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Lpu9ewmEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41F0EYSg5qL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5130oE1AJFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/513Ia9lZgzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51yvBwCA8-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ujVzoh5IL._SS522_.jpg']",,,,"15.7""D x 31.5""W x 31.1""H",,,Rustic Brown,Engineered Wood,Country Rustic,[],,"[""Small Computer And Vanity Desk: Dimension is 31.5'' L x 15.7'' W x 31''H , short desk, space saving, great for student teens kids writing desk for bedroom. It is also a very good choice as a make up table with drawers. "", ' Vintage Style Design: Computer desk with 2-tier fabric open drawers for storage, providing plenty of room for under-desk storage and organization. This desk is made of thick P2 particle wood board with scratch-resistant, anti-collision and waterproof, protect home office desk surface from daily wear and tear. ', ' Sturdy Structure: Extra fixed steel brackets and adjustable leg pads provide greater stability, ensure the desktop is level, non-slip & anti-scratch protectors under the legs to protect your floor from scratching and reducing noises when moving. ', ' Easy Assemble: A detailed instruction manual and tool are provided, no other tools required, quick and easy to assemble, about 20 - 30 minutes. ', ' 2 Years Warranty Guarantee: Provides professional customer service, easy and fast replacement is guaranteed if have quality problem in 2 years, please feel free conct us if any question for this little desk.']",,"['Brand: Lufeiya', 'Model Number: LFY-PD2-Brown-31', 'Age Range (Description): Adult', 'Best Sellers Rank: #9,378 in Home & Kitchen (See Top 100 in Home & Kitchen) #38 in Home Office Desks', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 215 ratings \n\n\n 4.3 out of 5 stars', 'Style: Country Rustic', 'Color: Rustic Brown', 'Room Type: Dormitory, Living Room, Bedroom, Classroom, Study Room', 'Shape: Rectangular', 'Desk design: Writing Desk, Computer Desk', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Recommended Uses For Product: Working, Drafting, Writing, Gaming', 'Target Gender: Unisex', 'Included Components: Storage bag, iron hook', 'Finish Type: Powder Coated', 'Base Material: Metal', 'Top Material Type: Engineered Wood', 'Product Dimensions: 15.7""D x 31.5""W x 31.1""H', 'Size: 31.5""', 'Number of Drawers: 2', 'Item Weight: 16.3 Pounds', 'Special Feature: Storage bag', 'Mounting Type: Freestanding', 'Base Type: Legs', 'Drawer Type: Utility Drawer']",c907bc78-3c8e-5a06-b1f8-c6053747b7cd,2024-02-02 18:54:44 +B0BV6KR1T7,https://www.amazon.com/dp/B0BV6KR1T7,"Watson & Whitely Swivel Bar Stools Set of 2, Fabric Upholstered Counter Height Barstool with Back, 26"" H Seat Height Counter Stools with Solid Wood Legs (White (Multi-Colored))",Watson & Whitely Store,,,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/41IWqaJGuWL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41IWqaJGuWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51CYefeT+kL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41shsXFepaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51sXO30M+3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/415p4SgxNiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41hUVRl09hL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/317wQ88iSCL._SS522_.jpg']",,Watson & Whitely,,"22""D x 18.9""W x 39.4""H","February 8, 2023",,White (Multi-colored),,Modern,[],,"['Take a Spin: Modern with comfort to match, the sculpted silhouette of counter stool features a gently curved backrest and a comfortable seat which fully swivels 360 degrees. ', ' Padded Seat & Back: Seat cushions contains dense, high-resiliency foam which is CertiPur-US certified. Backrests are filled with supportive foam and back frame system is sustained by flexible elastic webbing. ', ' Built To Last: Handcrafted by artisans, sturdy solid wood base is hand-painted and hand-distressed in brushed espresso finishing that replicates a naturally weathered appearance. Weight capacity: 300 lbs. ', ' Easy To Clean: Upholstered in easy to clean faux leather, which has the look of real leather and provides butter-soft texture and great durability. ', "" Set of 2. Overall dimension: 22''D x 18.9''W x 39.4''H. Seat Dimension: 16.1''D x 18.9''W x 26.8''H. "", ' Simple assembly required. If you have any questions, please contact our professional customer support team. We will give you a satisfactory solution.']",,"['Product Dimensions: 22""D x 18.9""W x 39.4""H', 'Color: White (Multi-colored)', 'Brand: Watson & Whitely', ""Size: Overall dimension: 22''D x 18.9''W x 39.4''H"", 'Style: Modern', 'Furniture Finish: Espresso', 'Seat Height: 26.8 Inches', 'Seat Width: 18.9 Inches', 'Maximum Weight Recommendation: 300 Pounds', 'Product Care Instructions: Cleaning Code W: Spot clean fabric with a water-based shampoo or foam upholstery cleaner.', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 59.4 pounds', 'Manufacturer: Watson & Whitely', 'ASIN: B0BV6KR1T7', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 20 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #434,579 in Home & Kitchen (See Top 100 in Home & Kitchen) #944 in Barstools', 'Date First Available: February 8, 2023']",e314694e-0b51-5ce7-b0f4-be28cf3020a7,2024-02-02 18:54:44 +B0C6XNNL9M,https://www.amazon.com/dp/B0C6XNNL9M,"Adeco Large Square Storage Ottoman Bench, Tufted Upholstered Coffee Table Footstool Footrest with Wood Legs for Living Room Bedroom, Orange Brown",Adeco Store,,Only 11 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/31HEdjZpCbL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31HEdjZpCbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nb-sxKNNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ZL5kgX+HL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51kWbRliOLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cwENmd10L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31rgqlLogrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41T72S14HoL.SS125_SS522_.jpg']",,Adeco,OF0035-5-ADVC,"29.5""D x 29.5""W x 18.3""H","June 2, 2023",China,Orange Brown,Wood,Mid-Century Modern,[],,"['CONTEMPORARY INDUSTRIAL DESIGN: Soft and skin-friendly upholstery which is decorated by fashion style nailheads over a high-resiliency foam cushion is so comforting for tired feet. ', ' MULTIFUNCTIONAL OTTOMAN: It could provide cozy rest for your tired feet, and the ottoman could also act as a coffee tabletop accompanying you at night. This ottoman will also entertain your guest by providing extra seat for your friends. ', ' SAFETY DESIGN: Constructed with a sturdy corner-blocked frame and strong wood feet. Padded hinged lid stays open for safe access to storage space inside—great for your blanket and throw pillows. ', ' EXTRA LARGE STORAGE SPACE: Measures 29.5 by 29.5 by 18.3 inches (LxWxH) provide you enough space for your blanket and throw pillows, etc. You will love how much your space can transform with the simple addition of this charming ottomans. ', ' EASY TO INSTALL: Easy to install, without any tools, just screw on 4 wood legs, you can add an exquisite ottoman to your living room or bedroom. This storage ottoman bench will tie your home together with its stunning looks, making this the ideal addition to your space.']",,"['Product Dimensions: 29.5""D x 29.5""W x 18.3""H', 'Color: Orange Brown', 'Brand: Adeco', 'Fabric Type: Fabric', 'Base Material: Wood', 'Frame Material: Wood', 'Seat Height: 18.3 Inches', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Size: Large', 'Style: Mid-Century Modern', 'Item Weight: 32.6 pounds', 'Manufacturer: Adeco', 'ASIN: B0C6XNNL9M', 'Country of Origin: China', 'Item model number: OF0035-5-ADVC', 'Customer Reviews: 3.9 3.9 out of 5 stars \n 52 ratings \n\n\n 3.9 out of 5 stars', 'Best Sellers Rank: #1,810,286 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,404 in Ottomans', 'Date First Available: June 2, 2023']",d17a5617-f96f-5a7e-a373-83af67959299,2024-02-02 18:54:45 +B0B6YR22H1,https://www.amazon.com/dp/B0B6YR22H1,"New Classic Furniture Evander Wood End Table with Drawer and Storage, Two Tone Cream/Brown",New Classic Furniture Store,,Only 5 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/51TJVV3sRqL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51TJVV3sRqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31CWroAHO6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31pFu5QlrbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/319xyVWFtUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Kb5YEc6qL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31zvKSil6GL._SS522_.jpg']",,,T381F-20,"22""D x 23.5""W x 22.25""H","July 18, 2022",Malaysia,Two Tone Cream/Brown,Wood,Contemporary,[],,"['Solid Wood Top: The solid Okoume Wood Veneer tabletop showcases the beauty of the natural wood grain ', ' Kiln Dried Wood Frame: The frame of this table is made from kiln-dried wood, making it resistant to warping or cracking. ', ' Storage Options: This coffee table comes with two dovetail drawers and a shelf that spans the full length of the table. Dovetail drawers combine strength and long-lasting durability. ', ' Dimensions: 23.5""W x 22""D x 22.25""H ', ' Convenient Assembly: This end table ships in a single carton, all hardware and instructions included.']","The Evander End Table with Drawer is the perfect way to add a touch of luxury to your home. This beautiful piece features a solid wood top with a wood grain finish, wood legs, and removable silver hardware. The drawer is perfect for storing small items or displaying your favorite photos. The clean lines and simple design make this end table a great addition to any room.","['Product Dimensions: 22""D x 23.5""W x 22.25""H', 'Color: Two Tone Cream/Brown', 'Brand: New Classic Furniture', 'Table design: End Table', 'Style: Contemporary', 'Finish Type: Veneer, wooden grain', 'Base Type: Leg', 'Model Name: Evander', 'Product Care Instructions: Wipe with Dry Cloth', 'Included Components: End table', 'Furniture Finish: Veneer', 'Maximum Weight Recommendation: 198 Pounds', 'Material: Wood', 'Number of Items: 1', 'Item Weight: 59.7 pounds', 'Country of Origin: Malaysia', 'Item model number: T381F-20', 'ASIN: B0B6YR22H1', 'Customer Reviews: 3.0 3.0 out of 5 stars \n 1 rating \n\n\n 3.0 out of 5 stars', 'Best Sellers Rank: #840,413 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,173 in End Tables', 'Date First Available: July 18, 2022']",ef88909a-9a2c-54ba-9cae-c2adef3df7ff,2024-02-02 18:54:46 +B07MZRYQ2X,https://www.amazon.com/dp/B07MZRYQ2X,"Lipper International Wooden Storage Crate, white 14"" x 12 1/2"" x 11""",Lipper International Store,$50.00,Only 18 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Storage Trunks & Chests', 'Storage Trunks']",https://m.media-amazon.com/images/I/31MZPtCF0RL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31MZPtCF0RL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Z3NPT2eAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Qdj-tFNGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41xbpYd9OIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51t3iigHPtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31SOximFqvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61OphHyZktL.SS40_SS522_.jpg']",,Lipper International,540W,12.5 x 14 x 11 inches,,China,,,,[],"[{'Color': ' White '}, {'Material': ' Engineered Wood '}, {'Product Dimensions': ' 12.5""L x 14""W x 11""H '}, {'Item Weight': ' 1 Kilograms '}, {'Brand': ' Lipper International '}]","['Wood storage box is an elegant alternative to plastic drawer organizers ', ' For use in the kitchen, pantry, bedroom, or garage ', ' Made from natural and renewable resource ', ' High capacity and multifunction Storage ', ' Dimensions: 14”x12. 5”X11”']","Lipper International provides exceptionally valued items for the kitchen, Home, office, and child's playroom. Known for their functionality and beauty, each of our products is individually crafted from the finest quality materials. Use this wooden storage crate in the kitchen, pantry, bedroom, or garage to organize clothes, tools, gadgets and more! Hand wash only.","['Product Dimensions: 12.5 x 14 x 11 inches', 'Item Weight: 2.2 pounds', 'Country of Origin: China', 'ASIN: B07MZRYQ2X', 'Item model number: 540W', 'Manufacturer recommended age: 36 months - 12 years', 'Best Sellers Rank: #2,233,790 in Home & Kitchen (See Top 100 in Home & Kitchen) #134 in Storage Trunks', 'Customer Reviews: 3.9 3.9 out of 5 stars \n 4 ratings \n\n\n 3.9 out of 5 stars', 'Release date: December 9, 2019', 'Manufacturer: Lipper International']",85e6db14-ec39-5dba-b57f-116f9e5b1224,2024-02-02 18:54:46 +B0BHF9PPJC,https://www.amazon.com/dp/B0BHF9PPJC,"Amazon Basics Kids Adjustable Mesh Low-Back Swivel Study Desk Chair with Footrest, Red",Amazon Basics Store,,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Chairs & Seats', 'Desk Chairs']",https://m.media-amazon.com/images/I/41bsjzUI6NL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41bsjzUI6NL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41JrAitH0uL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Y-+ecwdyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ADW0RKbeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414C2gWv7ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41UsC1HWCxL._SS522_.jpg']",,Amazon,50201M-B-3,"21.85""D x 21.85""W x 29.33""H",,China,Red,,Mesh,[],,"['Rolling desk chair for kids; ideal for homework, computer games, arts and crafts, and more ', ' Includes a black rolling desk chair with 360-degree swivel for getting in and out from any direction；pneumatic height adjustment for easily raising or lowering the seat ', ' Comfortable design with padded seat, contoured low backrest made of mesh for breathability, and a removable footrest; stable nylon star base with rolling casters for smooth maneuverability ', ' Simple to assemble with included instructions; wipes clean ', ' Product dimensions: 21.85 x 21.85 x 29.33 inches (LxWxH), seat width: 16.93"", seat depth: 15.16"", seat height adjustment range: 29.33""~32.28""']",An Amazon Brand,"['Brand: Amazon Basics', 'Color: Red', 'Product Dimensions: 21.85""D x 21.85""W x 29.33""H', 'Back Style: Mesh', 'Special Feature: Adjustable,Removable', 'Product Care Instructions: Wipe Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office', 'Pattern: Solid', 'Finish Type: Mesh', 'Room Type: Study Room', 'Age Range (Description): Child', 'Included Components: backrest, seat cushion, gas lift , base, foot padal', 'Shape: L-Shaped', 'Model Name: 50201M-B-3', 'Surface Recommendation: Hard Floor', 'Furniture base movement: Swivel', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Swivel', 'Seat Height: 32.3 Inches', 'Item Weight: 16.8 pounds', 'Manufacturer: Amazon', 'ASIN: B0BHF9PPJC', 'Country of Origin: China', 'Item model number: 50201M-B-3', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 58 ratings \n\n\n 4.2 out of 5 stars', ""Best Sellers Rank: #2,731 in Our Brands (See Top 100 in Our Brands) #6 in Kids' Desk Chairs"", 'Finish types: Mesh', 'Assembly required: Yes', 'Batteries required: No', 'Import: Imported']",ec753aef-0410-55fe-9c9a-6cba84801eb6,2024-02-02 18:54:47 +B07NFSLLCG,https://www.amazon.com/dp/B07NFSLLCG,"Joovy Coo Bassinet, Portable Bassinet with Storage, Rocking Playpen, Gray",Joovy Store,$259.99,Only 2 left in stock (more on the way).,"['Baby Products', 'Nursery', 'Furniture', 'Infant & Toddler Beds', 'Bassinets', 'Bedside Cribs']",https://m.media-amazon.com/images/I/41UOfS3JmkL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41UOfS3JmkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31ryup6nRqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21L7EZIHKvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41tGMJvpJ-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ql5LCCA7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mtE9RAbRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51tH78tW0dL.SS40_SS522_.jpg']",,,7069,41.34 x 25 x 28.35 inches,,,,fabric,,[],"[{'Brand': ' Joovy '}, {'Color': ' Gray '}, {'Material': ' fabric '}, {'Item Weight': ' 18 Pounds '}, {'Item Dimensions LxWxH': ' 41.34 x 25 x 28.35 inches '}, {'Age Range (Description)': ' Baby '}, {'Maximum Weight Recommendation': ' 15 Pounds '}]","['Folds flat for travel and storage; incuded travel bag with carrying straps ', ' Converts from bassinet to playpen with a zipper; built-in under-bassinet storage. ', ' Lock or unlock the rocking feature to keep baby put or rock back to sleep ', ' 100% see-through mesh and breathable fabrics ', ' Included mattress and removable, machine-washable mattress cover']","Because it's still your house, for crying out loud. The Coo does everything it's supposed to, and still looks stylish in any space. The top half of the Coo functions as a bassinet for babies up to 15 lbs. Once they start pushing up on their hands and knees, it's time to switch to the playpen. The premium breathable fiber mattress provides maximum comfort for your little ones. While you're using the bassinet portion of the Coo, you can unzip the side panel of the lower portion and use it to store diapers, blankets, and anything else you need for baby. When your baby outgrows the bassinet, just unzip the top portion of the Coo and move the mattress to the lower level to turn it into a playpen, safe for children up to 35"" tall (or until they can climb out). With breathable mesh fabric, the Coo is safe for newborns, and makes it easier to keep an eye on your baby. When things get messy, don't sweat it - the Coo's mattress cover is removable and 100% machine washable.  Safety tested by our team to be 100% flame retardant chemical free - because what your baby sleeps on matters.","['Product Dimensions: 41.34 x 25 x 28.35 inches', 'Item model number: 7069', 'Maximum weight recommendation: 15 Pounds', 'Material Type: fabric', 'Care instructions: Machine Wash', 'Number Of Items: 1', 'Batteries required: No', 'Item Weight: 18 pounds', 'Country/Region of origin: China', 'ASIN: B07NFSLLCG', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 66 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #90,653 in Baby (See Top 100 in Baby) #274 in Bedside Cribs']",a03f14fd-c0d3-510d-9e29-cda87468d6de,2024-02-02 18:54:48 +B0C7L8GGJF,https://www.amazon.com/dp/B0C7L8GGJF,"Halatua 6ftlarge Fur Bean Bag Cover Lazy Sofa Chair Living Room Large Circular Soft Fluffy Artificial Fur unfilled Bean Bag (SnowBlue, 7FTD70.8inchH35.4inch)",Halatua,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Bean Bags, Covers & Refills', 'Bean Bags']",https://m.media-amazon.com/images/I/51-utQ4pnbL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51-utQ4pnbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51p9DCPXd+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51xJ5WzLgrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41anhqyzqBL._SS522_.jpg']",,"Yiwu Juyue Electronic Commerce Co., Ltd",PV Fur 01,11.4 x 5.9 x 6.7 inches,"June 9, 2023",,Snowblue,Polyester,,[],"[{'Brand': ' Halatua '}, {'Material': ' Polyester '}, {'Color': ' Snowblue '}, {'Special Feature': ' Removable Cover '}, {'Recommended Uses For Product': ' Sofa '}, {'Shape': ' Round '}, {'Number of Items': ' 1 '}, {'Size': ' 7FTD70.8inchH35.4inch '}, {'Number of Sets': ' 1 '}, {'Item Weight': ' 6.67 Pounds '}]","['Skin Friendly,Soft,Comfotable,warmful']",Soft Bean Bag Sofa Cover(NO Filler)Super Large Lazy Sofa Cover For family,"['Brand: Halatua', 'Material: Polyester', 'Color: Snowblue', 'Special Feature: Removable Cover', 'Recommended Uses For Product: Sofa', 'Shape: Round', 'Number of Items: 1', 'Size: 7FTD70.8inchH35.4inch', 'Number of Sets: 1', 'Item Weight: 6.67 Pounds', 'Product Dimensions: 11.4 x 5.9 x 6.7 inches', 'Item Weight: 6.67 pounds', 'Manufacturer: Yiwu Juyue Electronic Commerce Co., Ltd', 'ASIN: B0C7L8GGJF', 'Item model number: PV Fur 01', 'Best Sellers Rank: #626,639 in Home & Kitchen (See Top 100 in Home & Kitchen) #352 in Bean Bag Chairs', 'Date First Available: June 9, 2023']",d753c365-42bc-59d5-91cf-7e488f0b0e35,2024-02-02 18:54:48 +B08JWJTZ1Y,https://www.amazon.com/dp/B08JWJTZ1Y,"Flash Furniture Walker Small Rustic Natural Home Office Folding Computer Desk - 36""",Flash Furniture Store,$111.00,In Stock,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Desks']",https://m.media-amazon.com/images/I/31QOFqtaHJL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31QOFqtaHJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41PJM+bM9uL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Bc1xrIzYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31tJab+7jNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41QpvL-bRUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51F+cT5r8PL.SS125_SS522_.jpg']",,,,"18""D x 35.5""W x 29.5""H",,,Rustic,Engineered Wood,Sled,[],,"['Make the most of your space with a folding table computer desk for your work from home office or as a student desk for your remote learning student. The ample worksurface offers space for multiple activities then folds away when no longer needed. ', ' Design: .5"" thick multi-patterned surface, black powder coated metal frame with industrial bracing, floor glides ', ' Desk is easy to assembly, after assembling the top folds down to store ', ' Industrial style laptop desk for any work or study space ', ' PRODUCT MEASUREMENTS: Overall Size: 35.5""W x 18""D x 29.5""H; Folded Size: 35.5""W x 2.75""D x 29.5""H']","Get into a normal work from home routine by setting up a dedicated office space to perform your work duties instead of the dining room table. When you need something simple and functional this folding computer desk is at your service. Setup your desktop or use as a laptop table. If you're short on space this foldable desk folds to 2.75"" depth to store behind your sofa. This attractive industrial style desk is highlighted by light and dark colored variations. Create a school environment at home for your remote learning student. This student desk can be used in the home or dorm room. The industrial style desk can be your all-in-one creative space for work, play and meals.","['Brand: Flash Furniture', 'Model Name: Flash Furniture', 'Model Number: JB-YJ354D-GG', 'Age Range (Description): Adult', 'Best Sellers Rank: #697,339 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,141 in Home Office Desks', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 124 ratings \n\n\n 4.6 out of 5 stars', 'Style: Modern', 'Color: Rustic', 'Room Type: Home Office/Study;Office', 'Shape: Rectangular', 'Desk design: Computer Desk', 'Leg Style: Sled', 'Assembly required: Yes', 'Assembly Instructions: Require Assembly', 'UL Listed: Yes', 'Recommended Uses For Product: Residential Use;Non Residential Use', 'Target Gender: Unisex', 'Included Components: Computer Desks', 'Finish Type: Powder Coated', 'Furniture Finish: Black', 'Base Material: Alloy Steel', 'Top Material Type: Engineered Wood', 'Furniture leg material: Steel', 'Care instructions: DC-Damp cloth', 'Product Dimensions: 18""D x 35.5""W x 29.5""H', 'Size: Set of 1', 'Item Weight: 20 Pounds', 'Maximum recommended load: 100 Pounds', 'Special Feature: Foldable', 'Mounting Type: Floor Mount', 'Base Type: Sled']",8fa24fca-e58e-581c-a156-10ac0d2f2a2b,2024-02-02 18:54:49 +B0BG7MX77T,https://www.amazon.com/dp/B0BG7MX77T,BOKKOLIK Vintage Bar Stools Swivel PU Seat 29-37inch Height Adjustable Extral Tall Bicycle Stool with Bikepedal Kitchen Island Counter Stool Shop Chairs,BOKKOLIK Store,$237.00,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/41PjcPoHTLL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41PjcPoHTLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Bs8u5fvmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Tj26H-Z0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51UmDr1vFPL._SS522_.jpg']",,TOUPAI TRADE LTD,bike-s,"13.75""D x 13.75""W x 37""H","September 23, 2022",China,Dark Brown,,Soft PU Seat,[],,"['Easy Adjust bar stool.360 degree swivel from 29” up to 37”（extra tall pub height） to meet your needs. Easily adjust stool height just by spin the seat to meet bar or extra bar height. No matter at your kitchen island or bar. ', ' Material: Iron Steel+ Soft PU Seat, very stable and durable dining stool, Max capacity: 150kg/330lbs ', ' Antique/ Chic/Industrial style Bike design, pedal as footrest, very outstanding and eye-catching. Suitable in kitchen, cafe house, pub bar, patio and sunroom. ', ' Protective Floor Pads To Preserve Floors, and spray paint Anti-rusting ', ' Offer 30 days warranty guaranteed.There may be damage of wooden seat during shipment, Please free to contact us and we are willing to offer replacement to you.']","Set of 2 Industrial Swivel Bar Stool-Extra Tall Bar Height Stool-Kitchen Dining Chair-Pedal Design-29-37inch Adjustable Description:This is a unique vintage industrial style bar stool, is made of Solid Wood and Cast Iron. Features bike pedals and bike chain details, adds an element of industrial chic to your kitchen or bar area. Spacious solid wood seat perched atop bicycle wheel, creates a comfortable place to sit. Meanwhile, two fixed bike pedals providing a cozy footrest spot to relaxing your feet. With its adjustable height and swivel seat, easily meet bar height or kitchen island, enable you to enjoy your leisure time and delicious meals with this specially designed bar stool. Style:Rustic/Vintage/Retro/Industrial/Chic/Antique Specifications:-Color: Silver -Material: Leather + Iron Steel Craft: Powder Coating -Seat Height:74-95cm/29”-37”, -Seat Top Diameter: 35 cm / 13.7"".Seat Top Thickness:5cm/2inchChair Weight:9.5kg/21lbs Suitable Bar Table Height:41-47inch- Load Capacity: 150kg / 330 lb., Craft: Anti-rust Anti-scratch rubbers Powder coated cast iron Unique Bike/Bicyle Design, Pedal as Footrest Package: -Bar Stoolx2; -Hardware bagx1; -Assemble instructionx1 Tips: Chain of the bar stool has been installed for you! The crank of the pedals has been welded as a footrest and cannot be rotated. There are L and R,engraved on the pedals. -Tighten the pedal (R) on chain wheel side clockwise; -Tighten the pedal (L) counterclockwise on the crank side. Note: Due to light problems, products and pictures may have a slight color, please prevail in kind","['Product Dimensions: 13.75""D x 13.75""W x 37""H', 'Color: Dark Brown', 'Brand: BOKKOLIK', 'Style: Soft PU Seat', 'Seat Height: 37 Inches', 'Maximum Weight Recommendation: 150 Kilograms', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 20.9 pounds', 'Manufacturer: TOUPAI TRADE LTD', 'ASIN: B0BG7MX77T', 'Country of Origin: China', 'Item model number: bike-s', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 136 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #797,395 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,913 in Barstools', 'Date First Available: September 23, 2022']",b429007b-6be4-5056-92bf-eb2acf5dd24e,2024-02-02 18:54:50 +B0C48X7JQB,https://www.amazon.com/dp/B0C48X7JQB,"Nalupatio Storage Ottoman, Bedroom End Bench，Upholstered Fabric Storage Ottoman with Safety Hinge, Entryway Padded Footstool, Ottoman Bench for Living Room & Bedroom(Light Green)",Nalupatio Store,$64.90,Only 1 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/31+6K0TbdpL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31+6K0TbdpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515eLwJERqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51zjxsk8-sL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51C0Q9bJEML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wlK2Tg09L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51pcFXbF5IL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51TtYCGQXSL._SS522_.jpg']",,Nalupatio,FU01017,"31.5""D x 16.5""W x 13.8""H","May 6, 2023",China,Light Green,Wood,Modern,[],,"['Versatile & Storage : The large volume of this ottoman can meet your various needs.You can put this ottoman bench at the end of bed, to store pillows and books. This storage ottoman can be used as a shoe stool, footstool, window stool in In a cloakroom or entryway or any other scenes. ', ' Material & Design : This ottoman bench is made of soft tufted fabric.Neat stitching on the surface of the lid, enhancing its modern design. Compared with traditional fabrics, it is more skin-friendly and easy to clean. The foot stool is filled with a thick sponge with high elasticity, which is not easy to deform when sitting for a long time. ', ' Sturdy & Safety : Our rule is safety first.This ottoman bench is made of solid wood frame,which allows it to hold up to 300 pounds . The interior uses strong safety hinges that keep the lid open and prevent sudden closure. The lid will close slowly and safely as you try to close it. ', ' Components and Specifications : Package includes - an ottoman body, an installation instruction, 4 metal parts, 4 wooden legs, 12 screws. Overall profile size - 40’’H*31.4L*13.7W. ', ' Assemble & service: In order to make the customer experience better, we assembled most of the parts in advance. This bench will only take you about 5 minutes to assemble!If you have any questions during use or installation, please feel free to contact us and we will give you a satisfactory answer within 24 hours']",,"['Product Dimensions: 31.5""D x 16.5""W x 13.8""H', 'Color: Light Green', 'Brand: Nalupatio', 'Fabric Type: Pu Leather', 'Base Material: Wood', 'Frame Material: Wood', 'Seat Height: 13.7 Inches', 'Product Care Instructions: Wipe with Damp Cloth', 'Maximum Weight Recommendation: 300 Pounds', 'Size: 40 H*31.4L*13.7W', 'Style: Modern', 'Item Weight: 16.9 pounds', 'Manufacturer: Nalupatio', 'ASIN: B0C48X7JQB', 'Country of Origin: China', 'Item model number: FU01017', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 51 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #633,273 in Home & Kitchen (See Top 100 in Home & Kitchen) #977 in Ottomans', 'Date First Available: May 6, 2023']",b9ea5f59-58c2-5ed9-8a4c-b5be9be01ee1,2024-02-02 18:54:51 +B08T8ZRZ1F,https://www.amazon.com/dp/B08T8ZRZ1F,"Homevany Bamboo Wine Rack,4 Tier, Wine Bottle Holder, Hold 16 Bottles for Home Kitchen, Dinging Room, Pantry, Cabinet, Bar",Homevany,$29.99,In Stock,"['Home & Kitchen', 'Kitchen & Dining', 'Storage & Organization', 'Racks & Holders', 'Wine Racks & Cabinets', 'Freestanding Wine Racks & Cabinets']",https://m.media-amazon.com/images/I/51DO5hfgdKL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51DO5hfgdKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514YeD2WQmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5119-NeBJjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515xOmSI4WL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51PcjnKCkoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qTCKsIrEL._SS522_.jpg']",,Homeva,Brown-4T,"9.2""D x 16.4""W x 17""H","January 18, 2021",,Brown,,Modern,[],,"['🍷【Durable & Sturdy 】The wine racks countertop are made of thick natural bamboo, which is solid, durable, and not easy to deform; Our bamboo wine rack is made of 100% Eco-Friendly bamboo with two layers of varnish on the surface, which makes this racks surface more smooth and extends its service life. Such a wine rack is perfect for home, kitchen, countertop, pantry, cabinet, dining room, and wine cellar. ', ' 🍷【Space Saving】Each wine rack can store 16 bottles of wine, 4-Tier compact design allows it to save a lot of space and hold enough wine. ', ' 🍷【Easy Installation】It’s easy to assemble with some enclosed tools necessary. It may take your15 minutes to finish the installation. And when you finish the installation, you will feel a sense of accomplishment. ', ' 🍷【Fashion Retro Looking】Elegant rack for wine storage and display, whether entertaining family and friends or coordinating the design of your home, these wine racks is the finest in style and convenience. ', ' 🍷【Widely Used】Suitable for home, bars, hotels, and restaurants. Storing a wine bottle horizontally can keep corks moist to make the wine last longer.']",,"['Brand: Homevany', 'Color: Brown', 'Size: 17x 9.2x 16.4 inches', 'Product Dimensions: 9.2""D x 16.4""W x 17""H', 'Style: Modern', 'Product Care Instructions: Wipe with Dry Cloth', 'Bottle Count: 16', 'Item Weight: 3.5 pounds', 'Manufacturer: Homeva', 'ASIN: B08T8ZRZ1F', 'Item model number: Brown-4T', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 1,345 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #8,713 in Kitchen & Dining (See Top 100 in Kitchen & Dining) #3 in Freestanding Wine Racks & Cabinets', 'Date First Available: January 18, 2021']",e558c4f4-12f2-5cfd-a314-d69c22675547,2024-02-02 18:54:51 +B0961N94SZ,https://www.amazon.com/dp/B0961N94SZ,"Armen Living Julius 30"" Cream Faux Leather and Walnut Wood Bar Stool",Armen Living Store,,Only 1 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/31v34T0kgnS._SS522_.jpg,"['https://m.media-amazon.com/images/I/31v34T0kgnS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31jtruglNxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ap-lpc1FS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31+-PjmR33S._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51hgH6GQPRL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/512sc4lIydL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/91JHMrzRAzL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,Armen Living,LCJUBAWACR30,"19""D x 18""W x 41""H",,China,Cream/Walnut,,Straight,[],,"['100% Polyurethane ', ' SWIVEL STOOL - The wonderful full 360-degree swivel function allows for maximum mobility. The smooth glide swivel function allows you to change directions with ease, making this your new favorite stool in your home! ', ' SUPPORTIVE COMFORT - These expertly crafted stools with premium densely padded foam, unparalleled upholstery, and ergonomic seatbacks all combine to make your life more comfortable and filled with relaxation. Once you sit down, you won’t want to get up! ', ' WEIGHT CAPACITY: 250 lbs ', ' Product Dimensions:W: 18 x D: 19 x H: 41 x SH: 30 x Weight: 16 ', ' HEIGHT VARIATION OPTIONS - Whether you have a kitchen island, a bar table, pub table, or peninsula, we\'ve got you covered with any height you desire! Our bar height stools have a comfortable seat height of 30"" and our counter height stools hold you at a convenient 26"" seat height.']","The Julius 30"" Cream Faux Leather and Walnut Wood Bar Stool from Armen Living is the perfect stool to introduce into your already beautiful home. The Julius features a swivel function that allows you to turn 360-degrees, offered for your convenience! The open seat back and wide seat cushion gives you exceptional room and comfort. The Julius frame is crafted to be stable, sturdy, and, strong - also designed with a built-in metal footrest! The Julius is available in your color choice of grey, cream, or brown faux leather with walnut wood or grey faux leather with black wood. Product Dimensions: W:18 x D:19 x H:41 x SH:30","['Product Dimensions: 19""D x 18""W x 41""H', 'Color: Cream/Walnut', 'Brand: Armen Living', 'Size: 30"" Bar Height', 'Style: Contemporary', 'Furniture Finish: Walnut', 'Seat Height: 30 Inches', 'Leg Style: Straight', 'Maximum Weight Recommendation: 250 Pounds', 'Product Care Instructions: Wipe with Dry Cloth, Wipe with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 1', 'Item Weight: 16 pounds', 'Manufacturer: Armen Living', 'ASIN: B0961N94SZ', 'Country of Origin: China', 'Item model number: LCJUBAWACR30', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 49 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #1,334,073 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,009 in Barstools', 'Fabric Type: 100% Polyurethane', 'Refill: Foam', 'Form Factor: Upholstered', 'Warranty Description: 1 year limited.', 'Batteries required: No', 'Included Components: Bar Stool']",a1bea533-d1c0-5471-a08a-c0619d61a519,2024-02-02 18:54:52 +B0C2VF2S6R,https://www.amazon.com/dp/B0C2VF2S6R,"WONSTART Vanity Mirror with Lights, 50 x 41cm Hollywood Lighted Makeup Mirror with 15 Dimmable Lights, Make up Mirror with Lighting, Wall Mount or Tabletop Mirror for Bedroom (Silver)",WONSTART Store,$69.99,Only 6 left in stock - order soon.,"['Home & Kitchen', 'Bath', 'Bathroom Accessories', 'Bathroom Mirrors', 'Wall-Mounted Vanity Mirrors']",https://m.media-amazon.com/images/I/41k7g8oo6bL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41k7g8oo6bL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gTDUTRR-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51B66YwPZrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5160IuhT9RL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qu8XskqcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cLFlLqd3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/417ubN0UWCL._SS522_.jpg']",,WONSTART,L605VU,"19.5""L x 16""W","April 18, 2023",China,Silver,"Aluminum, Glass",Modern,[],"[{'Brand': ' WONSTART '}, {'Room Type': ' Dressing Room, Bedroom '}, {'Shape': ' Rectangular '}, {'Product Dimensions': ' 19.5""L x 16""W '}, {'Frame Material': ' Aluminum '}]","[""[Perfect Size] The overall size of the makeup mirror with lights is 49.7 x 40.5 x 10cm and the size of the optical mirror is 48.5 x 38.5 x 2.1cm. The mirror with lights won't take up too much space, but it can also meet your makeup needs. "", ' [Smart Touch & Memory Function] The functions of 3 buttons are switches, switching light colors, and adjusting brightness. Switch between light color and brightness at will. A memory function restores this lighted vanity mirror to its mode before closing. ', ' [Light Color Adjustment] 15 LED bulbs with white light (color temperature 6500K) , nature light (color temperature 4800K), warm light (color temperature 3200K), provide clean and bright reflection, get the most natural application of makeup at night. ', ' [High Quality Materials] The make up mirror is made of high-quality materials, which is sturdy and durable. Aluminum alloy frame and wood base is not easily damaged. High-definition silver mirrors provide true and clear reflection without distortion. LED bulbs with a lifespan of 50000 hours that do not require replacement. ', ' [Wall Mount & Tabletop] You can choose to put the desk mirror with light on the vanity table or hang the light up mirror for makeup on the wall according to your needs.']",,"['Brand: WONSTART', 'Room Type: Dressing Room, Bedroom', 'Shape: Rectangular', 'Product Dimensions: 19.5""L x 16""W', 'Frame Material: Aluminum', 'Style: Modern', 'Mounting Type: Tabletop Mount, Wall Mount', 'Finish Type: 拉丝', 'Special Feature: adjustable, lighted', 'Color: Silver', 'Theme: Nature', 'Specific Uses For Product: Makeup', 'Number of Pieces: 1', 'Number of Items: 1', 'Material: Aluminum, Glass', 'Frame Type: Framed', 'Assembly Required: No', 'Item Weight: 8.43 pounds', 'Manufacturer: WONSTART', 'ASIN: B0C2VF2S6R', 'Country of Origin: China', 'Item model number: L605VU', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 165 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #1,590,820 in Home & Kitchen (See Top 100 in Home & Kitchen) #777 in Wall-Mounted Vanity Mirrors', 'Date First Available: April 18, 2023']",197078ef-9dfb-5de8-9cae-5d71a2dcadfa,2024-02-02 18:54:53 +B0CH34CCLV,https://www.amazon.com/dp/B0CH34CCLV,Cpintltr Velvet Foot Rest Stool Multipurpose Dressing Stools Upholstered Round Storage Ottoman Modern Soft Vanity Chair with Memory Foam Seat Dusty Pink,Cpintltr Store,$42.99,Only 19 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/51K84REZCGL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51K84REZCGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414pMnjC3mL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51rq+mZrsgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51lyYJB8B6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41AiPLSbM8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5179hnQfizL._SS522_.jpg']",,Cpintltr,,"13""D x 13""W x 17""H","September 1, 2023",,Dusty Pink,Wood,Modern,[],,"['【Multiple Functional Stool】The gingko leaf print velvet ottoman is not only a foot rest, but also can be a vanity chair and a padded seat. The top cover can also be turned over to become a small table, you could put a cup of coffee or some desserts on it to have a pleasant time. Elegant bright colors match the gold metal legs is stylish and exquisite, perfect for putting anywhere as home decor. ', ' 【Hidden Storage Space】When the cover of the storage ottoman is lifted, a hidden surprise storage space revels in collecting your favorites. This round velvet storage stool has a large storage space, can be used to store toys, magazines, small objects, perfumes and cosmetics. Spacious space makes you get rid of the trouble of organizing clutter. ', ' 【Decorative Stools for Occasions】High density foam wrapped in luscious silky velvet, modern style and shiny appearance has a touch of light luxury. Lightweight design stool allows the footrest to be easily moved and relocated as needed. More colorful foot stool choices strive to stand out in any various occasion, such as bedroom, living room, study, lounge, balcony, office, dorm, hallway, etc. ', ' 【Comfortable and Durable Ottoman】Our ottoman cushion is made of high resilience foam covered with sumptuous smooth velvet fabric, the thick and fluffy seat provides a soft and comfortable feeling when you sitting on it. The fine grade wood frame and four high hardness metal legs makes this stool ottoman a strong sturdiness and long service life which holds up to 300 lbs. ', ' Customer Satifisfaction: We aim to provide customers the best shopping experience. If you run into any issue with our products or service for any reason, please feel free to get in touch with us via Amazon.']",,"['Product Dimensions: 13""D x 13""W x 17""H', 'Color: Dusty Pink', 'Brand: Cpintltr', 'Fabric Type: Velvet', 'Base Material: Metal', 'Frame Material: Wood', 'Shape: Round', 'Seat Height: 17 Inches', 'Product Care Instructions: Wipe with Damp Cloth', 'Maximum Weight Recommendation: 300 Pounds', 'Style: Modern', 'Item Weight: 9.76 pounds', 'Manufacturer: Cpintltr', 'ASIN: B0CH34CCLV', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 11 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #108,824 in Home & Kitchen (See Top 100 in Home & Kitchen) #187 in Ottomans', 'Date First Available: September 1, 2023']",872380d9-4146-555c-8ded-b018dc1e3d3a,2024-02-02 18:54:53 +B0C4DWRF3M,https://www.amazon.com/dp/B0C4DWRF3M,"uxcell Shredded Memory Foam Filling, 10 Pounds Bean Bag Filler Foam for Bean Bag Chairs, Cushions, Sofas, Pillows and More - Multi Color",uxcell Store,$37.49,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Bean Bags, Covers & Refills', 'Bean Bags']",https://m.media-amazon.com/images/I/51i6LeHlc9L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51i6LeHlc9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41lv3DARylL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5148I9U5opL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51P3C2O88ML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41912YPxkuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51I6UHT2ZPL._SS522_.jpg']",,,,18.03 x 13.82 x 7.24 inches,"May 5, 2023",China,,,,[],[],"['Shredded Memory Foam: Our Shredded Memory Foam is made from a lightweight, anti-static, and highly elastic memory sponge material that offers excellent breathability, moisture absorption, and insulation properties. Its unique texture provides a comfortable and supportive feel that conforms to your body for optimal relaxing ', "" DIY Your Unique: The shredded memory foam filling gives our products a unique and stylish appearance, adding a touch of modern elegance to any room. The fluffy texture of the foam filling creates a comfortable atmosphere that's perfect for relaxing "", ' 10 Pounds Filler: Our 10-pound compressed memory foam can expand to approximately 4 cubic feet, providing enough filling for two pillows, one large dog bed, or two small dog beds. The compressed packaging allows for easy storage and transportation, making it a convenient choice for any home ', "" Versatile Usage: Our Shredded Memory Foam is a great addition to any household. It can be used to fill bean bags, pet beds, pillows, cushions, and stuffed items, providing a comfortable and safe environment for your family and pets. It's also great for making crafts and home decor items "", ' Customize Your Comfort: Our Shredded Memory Foam filling is adjustable, allowing you to customize the height and firmness of your pillows, cushions, and bean bags to your like. Simply remove or add filling as needed to achieve your desired level of comfort. The durable material ensures that your products will last for years to come, making it a good choice for your home']","Description:1. Our Shredded Memory Foam is made from a lightweight, anti-static, and highly elastic memory sponge material that offers excellent breathability, moisture absorption, and insulation properties.2. The shredded memory foam filling gives our products a unique and stylish appearance, adding a touch of modern elegance to any room. The fluffy texture of the foam filling creates a comfortable atmosphere that's perfect for relaxing.3. Our 10-pound compressed memory foam can expand to approximately 4 cubic feet, providing enough filling for two pillows, one large dog bed, or two small dog beds. The compressed packaging allows for easy storage and transportation, making it a convenient choice for any home.4. Versatile Usage: Our Shredded Memory Foam is a great addition to any household. It can be used to fill bean bags, pet beds, pillows, cushions, and stuffed items, providing a comfortable and safe environment for your family and pets. It's also great for making crafts and home decor items.5. Our Shredded Memory Foam filling is adjustable, allowing you to customize the height and firmness of your pillows, cushions, and bean bags to your like. Simply remove or add filling as needed to achieve your desired level of comfort.Specification:Item Name: Shredded Memory FoamMaterial: Soft memory foamColor: Multi Color Shape: Mix various irregular shapesWeight: 5lbs/pcs can expandable to 2 cubic feet volumePackage: 2pcs shredded memory foam","['Item Weight: 10.39 pounds', 'Package Dimensions: 18.03 x 13.82 x 7.24 inches', 'Country of Origin: China', 'ASIN: B0C4DWRF3M', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 8 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #1,355,082 in Home & Kitchen (See Top 100 in Home & Kitchen) #638 in Bean Bag Chairs', 'Date First Available: May 5, 2023']",282a061b-5555-5be0-9e96-a80860f72620,2024-02-02 18:54:54 +B0CBBMQPVC,https://www.amazon.com/dp/B0CBBMQPVC,"FAMSINGO Ergonomic Mesh Office Chair, High Back Comfortable Desk Chair with Adjustable Lumbar Support, Headrest and Flip-up arms, Wide Memory Foam Seat, Executive Swivel Chair(Black)",FAMSINGO Store,$169.99,In Stock,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Chairs', 'Home Office Desk Chairs']",https://m.media-amazon.com/images/I/41Jm-GtY+5L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Jm-GtY+5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/419lOzjzFBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51aTmIDgJRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51JMHYuS+8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51lFVtbMHDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51uIo63CldL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51utMTt2CSL.SS125_SS522_.jpg']",,FAMSINGO,FS-803,"23""D x 28.5""W x 51.2""H","July 7, 2023",China,Black,Memory Foam,With arms,[],,"['★ 【ERGONOMIC ADAPTIVE LUMBAR SUPPORT】- The mesh office chair is designed with a dynamic adaptive double-back structure to support the backrest and lumbar together. Thus, when you lean on the chair, it will offer full support and fit your body.Also, the lower part of the backrest can be adjusted up and down(within a range of 3 inches), allowing you to adjust to the optimal position based on your waist feeling, achieving a truly ergonomic experience. ', ' ★【MEMORY SPONGE CUSHION】- Our high-density cushion offers comfort and support. Its ergonomic design wraps your hips, promotes blood flow, and ensures a premium sitting experience. ', ' ★ 【LARGR SEAT & COMFORTABLE】 - The computer desk chair has an extremely larger back and wide seat. Further, the whole chair measures about 27""W x 23""D x 48""-53""H, the seat size: 22.5""W x 21""D, the whole back size: 25""L x 19.5""W, with a loading capacity of up to 300 lbs.The comfortable office chair for sitting all day! ', "" ★ 【SMOOTH & QUIET ROLLING CASTERS】- Many chair wheels use cheap, low quality materials that destroy your flooring. We don't. Encased with soft, polyurethane material our rollerblade style wheels are guaranteed not to scratch or leave marks on any surface (including hardwood, carpet, tile, laminate and more). "", ' ★【SPACE SAVING & 3D FLIP-UP ARMS】- Our office chair comes with flip-up armrests that can tuck under your desk for tidy, space-saving convenience. The armrests also rotate and lock at three angles for customizable comfort. ', "" ★【BREATHABLE MESH & TILT BACK】 - Our chair features a tilt-back design for stress relief and a breathable mesh for all-day comfort. Resistant to wear and easy to clean, it's the perfect choice for extended use. "", ' ★【EASY ASSEMBLE & RELIABLE SERVICE】- Follow the instruction and video, this ergonomic office chair with wide seat is very easy to assemble. Famsingo customer service team will provide you with 100% satisfactory service within 24 hours. Besides, ergonomic office chair is also backed by a 1-year warranty.']",,"['Brand: FAMSINGO', 'Color: Black', 'Product Dimensions: 23""D x 28.5""W x 51.2""H', 'Back Style: Solid Back', 'Special Feature: Memory Foam Seat, Adjustable Lumbar Support, Reclining, Adjustable Headrest, Ergonomic Design', 'Product Care Instructions: Dry Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office', 'Maximum Weight Recommendation: 300 Pounds', 'Pattern: Solid', 'Room Type: Office', 'Included Components: 1', 'Shape: S-Shape', 'Model Name: Charles', 'Arm Style: With arms', 'Surface Recommendation: Hard Floor', 'Form Factor: Recliner', 'Seat Depth: 21 inches', 'Fill Material: Memory Foam', 'Tilting: Yes', 'Is Electric: No', 'Is Foldable: No', 'Item Weight: 35 pounds', 'Manufacturer: FAMSINGO', 'ASIN: B0CBBMQPVC', 'Country of Origin: China', 'Item model number: FS-803', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 37 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #566,539 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,233 in Home Office Desk Chairs', 'Date First Available: July 7, 2023']",82386448-8736-5499-9b60-4482d30cc069,2024-02-02 18:54:54 +B07667648L,https://www.amazon.com/dp/B07667648L,"Serta Style Hannah II Office Chair, Harvard Pink Microfiber",Serta Store,,Only 15 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Chairs', 'Home Office Desk Chairs']",https://m.media-amazon.com/images/I/41XQ7R6j7lL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41XQ7R6j7lL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Fc9FKydOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51DJ5GWat5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41vim4n0XvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41fy6LhnQxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VL4rfCB9L._SS522_.jpg']",,,CHR200127,"29""D x 25.5""W x 46.75""H","October 5, 2017",China,Harvard Pink,Foam,with-arms,[],,"['MODERN STYLE: Give your workplace a professional look with this stylish Serta Office Chair ', ' ALL DAY COMFORT: Plush cushions keep you comfortable for long periods of sitting ', ' ERGONOMIC DESIGN: Contoured lumbar zone provides extra lower-back support ', ' JUST THE RIGHT FIT: Adjustable seat height, recline angle, and tilt tension ', ' BUILT TO LAST: Heavy-duty five-star base and durable dual-wheel casters']","Add a touch of modern style to your workplace with this comfortable office chair from Serta. This plush desk chair is upholstered in microfiber fabric and features layered body pillows that keep you cradled in comfort while working or gaming. It has a contoured lumbar design to provide your lower back with exceptional support. This ergonomic office chair also offers a pneumatic seat-height lift, a recline mechanism, and adjustable tilt tension. This Serta office chair is built to last with a heavy-duty five-star base and durable multi-surface casters.","['Brand: Serta', 'Color: Harvard Pink', 'Product Dimensions: 29""D x 25.5""W x 46.75""H', 'Size: Microfiber', 'Back Style: Solid Back', 'Special Feature: Adjustable Height', 'Product Care Instructions: Spot Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office', 'Style: Microfiber', 'Pattern: Solid', 'Finish Type: Polyester', 'Room Type: Office', 'Included Components: Office Chair', 'Shape: L-Shaped', 'Model Name: Hannah 2.0 Executive High Back Office Chair with Lumbar Support Ergonomic Upholstered', 'Arm Style: with-arms', 'Surface Recommendation: Indoor', 'Furniture base movement: Swivel', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Upholstered', 'Furniture Finish: Polyester', 'Fill Material: Foam', 'Item Weight: 38.2 pounds', 'Country of Origin: China', 'Item model number: CHR200127', 'ASIN: B07667648L', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 31 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #651,577 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,396 in Home Office Desk Chairs', 'Date First Available: October 5, 2017']",797da975-81a0-5bfe-a9d3-177d9ea72a1f,2024-02-02 18:54:55 +B0CC28VDSV,https://www.amazon.com/dp/B0CC28VDSV,"Christmas 3D Illusion Doormat, Non-Slip Visual Door Mat,3D Stereo Floor Mat for Christmas Decoration Indoor and Outdoor, Hallway, Entrance, Kitchen, Bathroom(50 * 80/60 * 90CM)",Maooye,$24.99,Only 15 left in stock - order soon.,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51uOa02x4HL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51uOa02x4HL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41-ePe5heXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51pPuiCp7CL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51YvVJU03rL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51iiYElzGrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51YQoUGaK+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61hpYZahB0L._SS522_.jpg']",,,,"35.4""L x 23.6""W","July 17, 2023",,Red,棉质,Classic,[],"[{'Brand': ' Maooye '}, {'Size': ' 60*90cm '}, {'Material': ' 棉 '}, {'Weave Type': ' 簇绒 '}, {'Item Weight': ' 1 Pounds '}]","[""【3D Christmas Doormat】The floor mat is designed with a mesmerizing classic pattern that makes you feel like you've been swept into a black hole. The doormat has a 3-layer design with exquisite pattern details that make it stand out. "", "" 【obvious anti-slip effect】The bottom of the doormat is made of PVC with dense anti-slip particles, so even if it gets wet, you don't have to worry about slipping. "", ' 【Powerful water and dust suction】 The soft crystal velvet can quickly absorb water in the crevices of shoes, and also effectively remove dust from the bottom of shoes, with high cleaning efficiency. ', ' 【Easy to clean】You can shake the dust off the doormat, sweep it with a broom, or use a vacuum cleaner for deep cleaning. It is also machine washable. ', ' 【Perfect Christmas decoration】This Christmas mat is suitable for all kinds of parties and festivals. It will become the most eye-catching decorative design in your home. It will give your friends and guests a new and memorable experience.']","Doormat three-layer design The top layer is made of soft velvet, the middle layer is made of water-absorbing diatomaceous foam, and the bottom layer is made of non-slip silicone rubber. Three advantages of door mats 1.For thickening the simplesense of carpet, the gluedot printing technologyof wear-resisting was used in the back of carpet 2.The printed surface of the carpet is called the crystalin the suede, which is delicate. and soft. The 3D pattern isclear and has a sense ofsubstitution. 3.The edges of the carpet arestitched together to keep theedges from fraying","['Brand: Maooye', 'Size: 60*90cm', 'Material: 棉', 'Weave Type: 簇绒', 'Item Weight: 1 Pounds', 'Pile Height: 短绒', 'Construction Type: Machine Made', 'Back Material Type: 棉质', 'Color: Red', 'Indoor/Outdoor Usage: Both', 'Theme: 圣诞节', 'Is Stain Resistant: Yes', 'Product Care Instructions: Machine Wash', 'Shape: Rectangular', 'Special Feature: Non-slip', 'Room Type: Hallway', 'Product Dimensions: 35.4""L x 23.6""W', 'Rug Form Type: Doormat', 'Style: Classic', 'Item Weight: 1 pounds', 'ASIN: B0CC28VDSV', 'Customer Reviews: 3.8 3.8 out of 5 stars \n 5 ratings \n\n\n 3.8 out of 5 stars', 'Best Sellers Rank: #375,455 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #7,695 in Outdoor Doormats', 'Date First Available: July 17, 2023']",bef992b4-8f6c-5cb9-8b8c-24aca7572a51,2024-02-02 18:54:56 +B0BSHFVY3J,https://www.amazon.com/dp/B0BSHFVY3J,"Narrow Console Table with Power Strips, Sofa Table with Storage Shelves for Living Room, 2-Tier Foyer Table for Entryway, Hallway, Behind Couch, Kitchen Counter, 39'', Black & White",armocity Store,$66.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'Sofa & Console Tables']",https://m.media-amazon.com/images/I/51FRxl-qgFL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51FRxl-qgFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51eGx5lcK+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41uG-YF5JML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51q7NYDvBvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31diA1+umHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51SikcXZd6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51SVFQ4+-UL._SS522_.jpg']",,,,"11.5""D x 39.5""W x 29.3""H",,,Black,MDF Board and Metal,Sofa Table with Outlets,[],,"[""Sofa Console Table with Outlets - Armocity narrow console table built-in one power strip to bring you more convenience for charging your devices. The power strip is attached at the side of this entry table, which doesn't take up any space on the tabletop. This entryway table will work well at your front door for chargers and tools on top and shoes/boots underneath. "", ' Fantastic & Slender Looking - Our console table with storage is designed with two color combinations, which look sleek and attractive. With four thick square support bars below, you can store and place your belongings without any worries. Adding 4 tabletop strengthen bars at the side, this couch table is really sturdy with no wobble. ', "" Addition to Narrow Space - This couch table is 11.8'' in depth, which is narrow enough to fit in the small space between the bed and the window and perfect for a small entry way. It’s fairly compact so it’s good for small spaces. Around 40'' in length, just the right size to fit well in the corner space. Makes your space look so clean and organized. "", ' Suitable for Multiple Uses - This sofa table can be used underneath your wall-mounted TV, or as a behind-the-sofa table, as an entry table for your entryway, as a plant stand in your living room, as a bar table for leisure, as an extra office utility table, or as a kitchenette table in your studio apartment. Also can be purchased for your cats. Set up a comfy place for your cats to sit by the large bay window to do some bird-watching. ', ' Easy to Set up - All the tools and parts you need will come with this entry table, clearly marked where to put them. Instructions are easy to follow. Just follow the steps and the installation will be done in 20 minutes. If you receive it with any damages and defects, just feel free to contact us, and our customer service team will get back to you with the solution within 24 hours.']",,"['Brand: armocity', 'Shape: Rectangular', 'Room Type: Kitchen, Living Room, Home Office, Hallway', 'Included Components: Installation kit inlcuded', 'Color: Black', 'Finish Type: Black', 'Furniture Finish: Black', 'Model Name: Armocity', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 308 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #82,431 in Home & Kitchen (See Top 100 in Home & Kitchen) #74 in Sofa Tables', 'Special Feature: Storage, Space Saving, Easy Assembly, Charging Station', 'Base Type: Legs', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 11.5""D x 39.5""W x 29.3""H', 'Item Width: 39.5 inches', 'Size: 39.5‘’', 'Number of Items: 1', 'Number of Shelves: Two', 'Frame Material: Metal', 'Top Material Type: MDF Board and Metal', 'Style: Sofa Table with Outlets', 'Table design: Console Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly']",0f2fe2ce-713f-5651-bf5d-c3e2412c6798,2024-02-02 18:54:57 +B08QRF4TTL,https://www.amazon.com/dp/B08QRF4TTL,"AnRui Folding Floor Chair with Adjustable Back Support, Comfortable, Semi-Foldable, and Versatile, for Meditation, Seminars, Reading, TV Watching or Gaming, Suitable for Home Or Office",AnRui Store,$52.99,Only 11 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Gaming Chairs', 'Video Game Chairs']",https://m.media-amazon.com/images/I/51iuIrMVq+L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51iuIrMVq+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41lozX79pqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514-TGg5InL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51X4reGzKTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514r3CpQHNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61j6JVqbb5L.SS125_SS522_.jpg']",,AnRui,G1ZTJJ010535#PP,32.5 x 16 x 3 inches,"December 16, 2020",China,Stripe,Foam,Solid Back,[],,"['The backrest prevents slouching, promotes healthy posture. Quality foam conforms ideally to the body and offers maximum comfort for sitting and reclining. The backrest is very stable and can support body weight of up to 100 kg (220 lb). ', ' The padded Floor Chair chair is easy to transport because of its low weight around 5.0lbs, And if you just want to create some space, its small footprint makes it easy to store. Cleaning the cover is easy(Hand Wash Only), It is made out of quality linen and is easily wiped the dust clean with a damp sponge. ', ' Whether as a lounge, meditation chair, for reading, relaxing, TV-watching, seminars, or discussion groups in the office, our floor chair functions as a floor lounger and seat cushion and is not only eye-catching, but also fits perfectly into any room. ', ' Adjustable backrest: 90°to 180°, 5 Angles easy to find your cozy position, preventing backache and cervical pain. ', ' Padded Floor Chair perfect for small spaces, this lightweight, versatile chair can be easily moved around and placed on any clean and dry surface.']",,"['Brand: AnRui', 'Color: Stripe', 'Back Style: Solid Back', 'Special Feature: Adjustable', 'Product Care Instructions: Hand wash only', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office, Reading, Gaming', 'Maximum Weight Recommendation: 220 Pounds', 'Pattern: Solid', 'Room Type: Office, Living Room', 'Surface Recommendation: Hard Floor', 'Form Factor: Foldable', 'Fill Material: Foam', 'Package Dimensions: 32.5 x 16 x 3 inches', 'Item Weight: 4.59 pounds', 'Manufacturer: AnRui', 'ASIN: B08QRF4TTL', 'Country of Origin: China', 'Item model number: G1ZTJJ010535#PP', 'Customer Reviews: 3.5 3.5 out of 5 stars \n 12 ratings \n\n\n 3.5 out of 5 stars', 'Best Sellers Rank: #1,508,104 in Home & Kitchen (See Top 100 in Home & Kitchen) #624 in Video Game Chairs', 'Date First Available: December 16, 2020']",e037f8af-d28c-51a1-8f1c-3f524620910e,2024-02-02 18:54:58 +B07WLK9TNS,https://www.amazon.com/dp/B07WLK9TNS,"sogesfurniture 5 Tier Free Standing Wooden Shoe Storage Shelf Shoe Organizer, 29.5 inches Shoe Rack Shoe Organizer Storage Cabinet for Entryway, Living Room, Hallway, Doorway, Black",sogesfurniture Store,,Only 1 left in stock (more on the way).,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Shoe Cabinets']",https://m.media-amazon.com/images/I/51j2v3ij2uL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51j2v3ij2uL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41XofJvuwHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51-VSQAMmvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51I7GskNgaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51BqXKxjrML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51uianAYMbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51g1ot2JmIL._SS522_.jpg']",,sogesfurniture,,"11.8""D x 29.5""W x 37""H",,,,Engineered Wood,Modern,[],,"['Elegant and Functional Design: Our 5-tier Wooden Shoes Rack Organizer combines style and practicality, making it the perfect addition to your entryway, living room, hallway, or doorway. The sleek wooden construction and thoughtfully designed storage compartments create a visually appealing piece that complements any decor while keeping your space tidy. ', ' Ample Storage Capacity: With five spacious tiers, this shoe storage shelf provides ample room for organizing your footwear collection. From sneakers to heels, this organizer can accommodate various shoe types and sizes, helping you keep your shoes neatly arranged and easily accessible. ', "" Integrated Storage Compartment: Beyond its tiered shelves, our organizer also features a convenient storage compartment that's ideal for storing shoe accessories, keys, or other essentials. This hidden compartment adds an extra layer of functionality, allowing you to keep clutter at bay and maintain a clutter-free environment. "", ' Sturdy and Durable Build: Crafted from thickened laminated wood material, this free-standing shoe rack offers excellent durability and stability. NOTE: Due to the uncertainty during shipping, the shoes rack are probable to be broken. If you receive cracked products or you are not 100% satisfied with our Free Standing Shoe Racks, please contact us immediately for a full refund or replacement risk-free ', ' Sturdy and Durable Build: Crafted from thickened laminated wood material, this free-standing shoe rack offers excellent durability and stability. NOTE: Due to the uncertainty during shipping, the shoes rack are probable to be broken. If you receive cracked products or you are not 100% satisfied with our Free Standing Shoe Racks, please contact us immediately for a full refund or replacement risk-free']",,"['Mounting Type: Floor Mount', 'Room Type: Living Room', 'Shelf Type: Engineered Wood', 'Number of Shelves: 5', 'Special Feature: Space Saver', 'Recommended Uses For Product: Living Room, Hallway', 'Installation Method: Freestanding', 'Material: Engineered Wood', 'Product Care Instructions: Wipe with Dry Cloth', 'Furniture Finish: Brown', 'Shape: Rectangular', 'Style: Modern', 'Assembly Required: Yes', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 253 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #1,703,509 in Home & Kitchen (See Top 100 in Home & Kitchen) #86 in Shoe Cabinets', 'Age Range (Description): Adult', 'Brand: sogesfurniture', 'Number of Items: 1', 'Manufacturer: sogesfurniture', 'Included Components: Hardware', 'Model Name: L24', 'Model Number: BHUS-L24-BK-CA', 'Product Dimensions: 11.8""D x 29.5""W x 37""H', 'Size: 29.5 inches', 'Item Weight: 27 Pounds']",f28d5cba-ecd4-5d82-87da-d926d48e1155,2024-02-02 18:54:58 +B0CNVJ24YF,https://www.amazon.com/dp/B0CNVJ24YF,"fengxiaomin-Plastic Bed Slat End Caps Holders Plastic End Caps Holders Plastic Black End Caps Holders Suitable for Single, Double, King and Queen beds (55mm*9mm Black) -12pcs",fengxiaomin,$8.59,Only 12 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Replacement Parts', 'Bed Parts']",https://m.media-amazon.com/images/I/41gvi7RjrZL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41gvi7RjrZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cj2KzvJsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31PnQmLvmaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31UU-rpx1IL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514FJtLTWyL._SS522_.jpg']",,,,7.87 x 5.51 x 1.06 inches,"November 23, 2023",,,,,[],[],"['The plastic bed plate end cap retainer is made of plastic to ensure durability, the quality of the hard head is very good, very firm, and the top is very hard, which can fix the plate well. ', ' Bed cover replacement bracket end cover is easy to install, just snap the end cover on the bed strip, no need to install other tools, place the bottom plate in the bracket, or point the plastic at the mounting hole, your bed base will be fixed. ', ' Plastic hat racks are perfect for replacing any broken or missing slatted covers, you can easily replace damaged or missing slatted supports and save money, and are black and wear resistant for all types of bed boards. ', ' Plastic end cover bracket These fixers are fixed on the side and middle support rail of the bed frame with two latches, and then fixed on the bed frame with pre-drilled holes, and the plastic end cover bracket can also be used as a connection piece of the rib bed. ', ' The black plastic end cover bracket is suitable for single, double, king and queen-size beds, which can be attached to the bed frame with wooden slats, suitable for a variety of wooden bed frames, and can be used in commercial or residential environments.']","Specifications:Product name: plastic bed plate end cap fixatorMaterial: PlasticSize: 55*9mm/2.2*0.4inchColor: BlackHigh quality slatted covers are ideal for replacing any broken or missing slatted covers, and you can easily replace damaged ormissing slatted supports and save money. The plastic bed end cap retainer is mounted on the side and middle support rail of the bed frame using two pins, which you can attach to the bed frame using pre-drilled holes to hold it firmly in place. The plastic bed end cap retainer is suitable for single, double, king and queen-size beds and can be fixed to the bed frame.Package includes: 12 plastic bed end cap retainersWarm reminder:Dimensions are measured manually and may be slightly inaccurate.There may be slight differences in color due to different screen displays.","['Item Weight: 2.4 ounces', 'Package Dimensions: 7.87 x 5.51 x 1.06 inches', 'ASIN: B0CNVJ24YF', 'Best Sellers Rank: #1,443,277 in Home & Kitchen (See Top 100 in Home & Kitchen) #400 in Bed Replacement Parts', 'Date First Available: November 23, 2023']",4c0cfeab-9dc3-577e-a6b0-3d751e1cff13,2024-02-02 18:54:59 +B0BZKMYST2,https://www.amazon.com/dp/B0BZKMYST2,"MoNiBloom Massage Gaming Recliner Chair with Speakers PU Leather Home Theater Seating Single Bedroom Video Game Sofa Recliners Ergonomic Gaming Couch with Detachable Neck Support and Footrest, Green",MoNiBloom Store,,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Gaming Chairs', 'Video Game Chairs']",https://m.media-amazon.com/images/I/41Md8gR4YYL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Md8gR4YYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51MdfIC2c0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41c8wDMOSGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51upOrfMFRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41iQSU9TxPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A1OKOECohQL.SS125_SS522_.png ', ' https://m.media-amazon.com/images/I/512nHBgdHoL.SS125_SS522_.jpg']",,,A11-GC-LS-002-GN,"23""D x 32""W x 43""H","March 25, 2023",China,Green,,Modern,[],,"['Massage Function to Relax Your Body - Our massage gaming chair with 8 massage spots, 2 on shoulder, 2 on lumbar, 2 on thigh and 2 on calf, it can help to relax your body. In addition, this massage chair features 5 massage mode and 2 massage strength, as well as adjustable positions and time, to meet your different needs. It is an ideal seat of choice for working, studying and gaming. ', ' Audio Gaming Chair - The gaming chair built-in two Bluetooth speakers to provide extraordinary and rich stereo effects. Connect a mobile phone or other Bluetooth-enabled device to the speaker to enjoy the thrilling theater-like sound of a game or movie. ', ' Adjustable Backrest and Footrest - This gaming recliner chair is equipped with adjustable backrest and retractable footrest. Not only you can easily change the most suitable angle of backrest between 95-125 degrees, and open the footrest to relax your legs. ', ' Humanized Design - Removable headrest ensure a comfortable daylong gaming time. The side pouch allows you to store controller or handy stuffs, and the cup holder on both sides of armrest are more convenient for you to place drink without getting up. ', ' Wide Applications - Our reclining gaming chair is very comfortable for taking a nap during busy workdays or relaxing at weekends, or even having a rest in the course of the exciting playtime. Great for use in entertaining room, living room, family room and so on. ', ' High Quality and Comfortable Material - Covered with environmental friendly PU leather, the reclining gaming chair is not only skin-friendly and easy to clean, but also breathable and water-proof. Padded with high-density thicker sponge, it is highly resilient and more comfortable.']",,"['Brand: MoNiBloom', 'Color: Green', 'Product Dimensions: 23""D x 32""W x 43""H', 'Back Style: Solid Back', 'Special Feature: Adjustable Lumbar, Arm Rest, Ergonomic, Swivel, Cushion Availability', 'Product Care Instructions: Wipe with a damp cloth', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Relaxing, Gaming', 'Maximum Weight Recommendation: 300 Pounds', 'Style: Modern', 'Pattern: Solid', 'Room Type: Living Room, Bedroom, Study Room, Office Room', 'Age Range (Description): Adult', 'Included Components: video game chair', 'Shape: Rectangular', 'Model Name: MoNiBloom A11-GC-LS-002-GN', 'Surface Recommendation: Hard Floor', 'Furniture base movement: Rock', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Recliner', 'Furniture Finish: Leather', 'Seat Depth: 23 inches', 'Item Weight: 50.7 pounds', 'Country of Origin: China', 'Item model number: A11-GC-LS-002-GN', 'ASIN: B0BZKMYST2', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 11 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #1,629,493 in Home & Kitchen (See Top 100 in Home & Kitchen) #688 in Video Game Chairs', 'Date First Available: March 25, 2023']",50b8782e-b051-551d-aa0d-494b46dd0676,2024-02-02 18:54:59 +B0BP9QYFTL,https://www.amazon.com/dp/B0BP9QYFTL,"SUNSLASH Wall Mounted Mirror, Arched Wall Mirror for Bathroom, 36""x24"" Arch Bathroom Mirror with Metal Frame, Black Vanity Mirror Decor for Mantle, Bedroom, Entryway, Living Room",SUNSLASH Store,$69.99,In Stock,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/41nGiqXS+5L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41nGiqXS+5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/415dCvxOAJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511pgsiDi3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Lx+5vQkrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41OuN7vF1HL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41SMQ6gOY9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31CdAsXC07L._SS522_.jpg']",,,,"36""L x 24""W",,,Black（arched）,Aluminum,,[],"[{'Brand': ' SUNSLASH '}, {'Room Type': ' Bathroom '}, {'Shape': ' Arched '}, {'Product Dimensions': ' 36""L x 24""W '}, {'Frame Material': ' Glass, Aluminum '}]",[''],bathroom mirror for wall,"['Room Type: Bathroom', 'Mounting Type: Wall Mount', 'Special Feature: Rustproof, Shatterproof, Thin Frame', 'Frame Type: Framed', 'Frame Material: Glass, Aluminum', 'Finish Type: Metal', 'Material: Aluminum', 'Product Dimensions: 36""L x 24""W', 'Assembly Required: No', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 40 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #731,197 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,149 in Wall-Mounted Mirrors', 'Brand: SUNSLASH', 'Number of Pieces: 1', 'Number of Items: 1', 'Shape: Arched', 'Color: Black（arched）', 'Theme: modern']",2fe90f14-adab-5df2-8a36-de747ac0b957,2024-02-02 18:55:00 +B07ZSF42WD,https://www.amazon.com/dp/B07ZSF42WD,"Allied Brass Carolina Crystal Collection Frameless Oval Tilt Beveled Edge Wall Mirror, Antique Brass",Allied Brass Store,,Temporarily out of stock.,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/21+UCtQ6p9L._SS522_.jpg,['https://m.media-amazon.com/images/I/21+UCtQ6p9L._SS522_.jpg'],,,,21 x 4.8 x 29 inches,,,Antique Brass,Brass,Antique,[],"[{'Brand': ' Allied Brass '}, {'Room Type': ' Bathroom '}, {'Shape': ' Oval '}, {'Product Dimensions': ' 29""L x 21""W '}, {'Frame Material': ' Brass '}]","['Crafted from the finest solid brass materials ', ' Stunning crystal accents make this item sparkle ', ' Concealed screw mounting hardware installs easily ', ' Tilts for all viewing angles for people of all heights ', ' 21-in wide x 29-in high oval mirror with beveled edge ', ' Provided with a limited lifetime']","Add a beautiful focal point to your bathroom with this elegant and practical Carolina Crystal Collection wall mounted tilt mirror with crystal accents. With its classic traditional style, this frameless mirror adds a decorative look to the sink area. Mirror mounts easily and tilts to accommodate adjusting viewing angles for people of any height. Sure to be a welcomed addition to any bathroom, this beautiful mirror with the added sparkle of crystal is extremely attractive and very useful.","['Room Type: Bathroom', 'Mounting Type: Wall Mount', 'Special Feature: Frameless', 'Frame Type: Unframed', 'Frame Material: Brass', 'Material: Brass', 'Shape: Oval', 'Style: Antique', 'Color: Antique Brass', 'Theme: Antique', 'Best Sellers Rank: #3,039,910 in Home & Kitchen (See Top 100 in Home & Kitchen) #7,813 in Wall-Mounted Mirrors', 'Brand: Allied Brass', 'Number of pieces: 1', 'Number of Items: 1', 'Product Dimensions: 29""L x 21""W', 'Item Dimensions LxWxH: 21 x 4.8 x 29 inches', 'Assembly required: No']",b7838b38-a622-52b8-b226-972abfab2abc,2024-02-02 18:55:01 +B0CN1LGXNP,https://www.amazon.com/dp/B0CN1LGXNP,"Home Source 40.7' Elegance Bar Server and Wine Glass Cabinet, 12-Bottle Wine Rack, Rollers for Mobility, and Interior Drawer (Walnut)",Home Source Store,$349.00,Temporarily out of stock.,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Bars & Wine Cabinets', 'Wine Cabinets']",https://m.media-amazon.com/images/I/41nYPK8XbrL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41nYPK8XbrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/316W823P+1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41sNLTdkzKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41R6GXj3MKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51hkYfs0o9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41fWRP-IWWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61UkOndMdtL.SS125_SS522_.jpg']",,Home Source,JZ74-Parent,"18.7""D x 31.5""W x 40.7""H","November 9, 2023",,Walnut,Walnut Wood,Fluted shape,[],,"['12-bottle wine rack12-bottle wine rack ', ' Stemware hanger for 8 glasses ', ' 1 interior drawer ', ' Rollers for mobility ', ' Assembly required']",This elegant bar server adds modern style and understated elegance to any contemporary lounge or dining room. It provides ample shelf and storage space for beverages.,"['Brand: Home Source', 'Color: Walnut', 'Recommended Uses For Product: Tools', 'Product Dimensions: 18.7""D x 31.5""W x 40.7""H', 'Special Feature: Wheeled', 'Mounting Type: Floor Mount', 'Room Type: Kitchen, Living Room, Dining Room', 'Door Style: Fluted shape', 'Included Components: Shelves', 'Shape: Rectangular', 'Item Weight: 73.04 Pounds', 'Base Type: Legs', 'Installation Type: Freestanding', 'Assembly Required: Yes', 'Frame Material: Walnut Wood', 'Item Weight: 73 pounds', 'Manufacturer: Home Source', 'ASIN: B0CN1LGXNP', 'Item model number: JZ74-Parent', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 3 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #782,346 in Home & Kitchen (See Top 100 in Home & Kitchen) #101 in Wine Cabinets', 'Date First Available: November 9, 2023']",60625d76-c337-5108-86fe-2ffd881051e9,2024-02-02 18:55:01 +B0CMTHD198,https://www.amazon.com/dp/B0CMTHD198,"Shintenchi 60"" Small Loveseat, 3 in 1 Cute Convertible Sofa Bed, Modern Futon Recliner Sleeper w/2 Cup Holder, Upholstered Folding Couch for Small Space, Dark Gray",Shintenchi Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Sofas & Couches']",https://m.media-amazon.com/images/I/41SkpIbGdQL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41SkpIbGdQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/412KsuyQSqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41JPW-kI8bL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51GZWJc3ufL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41wAxZIeDvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51iTMzLtb4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/415N121r2sL._SS522_.jpg']",810140367761,Shintenchi,SNSSF,"29""D x 59.4""W x 31.5""H","September 26, 2023",,Dark Gray,Wood,Pillow-Top,[],,"['3 in 1 Design Multi-Function: Crafted with 3 adjustable position, you can adjust the backrest as your like. Three different position make it three different usage. Buy 1 to get a sofa, a recliner and a sleeper at the same time! ', ' Perfect for Small Space: Comes with a 59.4”W x 29”D x 31.5”H size, the sofa bed is perfect for small space. It won’t take much space but will provide you extra comfort to your sweet home ', ' Timeless Appeal: The stylish simple lines outlook combines with the solid color make the sofa bed modern and minimalist. The classic and timeless appeal make it suitable for most decor style. Available in 6 colors for your choice ', ' Custom Velvet Comfort: Made by breathable and skin-friendly velvet fabric, padded with high-density sponge, this loveseat sofa bed will bring extra comfort to you. Solid wood legs are equipped for long lasting ', ' Assembly Notice: A detailed step-by-step manual is included in each box. You can follow the instruction to get a new sofa with no hassle. Please noted that all the legs and hardware are hidden in the fabric pocket at the bottom of the sofa']","Still looking for a tiny sofa for watching TV, a recliner for relaxing, a sleeper for napping, but still worrying about no more space left? Our Shintenchi Convertible sofa bed would be your perfect choice! The backrest can be adjusted in to 3 different position, means that you will get a sofa, recliner and sleeper at the same time. Also the tiny size will never take up too much space! It’s a wonderful choice for small areas. The modern outlook make it suitable for various decor styles. And we provide 6 different choice as you like. The breathable and skin-friendly velvet fabric is comfortable enough even for long time sitting! After you receiving the package, please find the legs and hardware in the fabric pocket at the bottom of the sofa, they are definitely not missing.","['Brand: Shintenchi', 'Manufacturer: Shintenchi', 'ASIN: B0CMTHD198', 'Item model number: SNSSF', 'UPC: 810140367761', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 14 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #352,155 in Home & Kitchen (See Top 100 in Home & Kitchen) #433 in Sofas & Couches', 'Date First Available: September 26, 2023', 'Age Range (Description): Adult', 'Included Components: Hardware', 'Assembly Required: Yes', 'Special Feature: Recliner', 'Product Dimensions: 29""D x 59.4""W x 31.5""H', 'Item Weight: 71.1 Pounds', 'Seating Capacity: 2', 'Item Package Quantity: 1', 'Material: Wood', 'Upholstery Fabric Type: Velvet', 'Frame Material: Wood', 'Type: Sofa Bed', 'Color: Dark Gray', 'Pattern: Solid', 'Style: Modern', 'Room Type: Living Room', 'Arm Style: Pillow-Top']",4ff545f6-13f7-5a9a-9e73-34ba9f43066d,2024-02-02 18:55:02 +B0CN44TTFJ,https://www.amazon.com/dp/B0CN44TTFJ,"King Mattresses Bag for Moving Storage Protector, Waterproof Reusable Mattress Cover with Heavy Duty 8 Handles Water Resistant Zipper Closure and 2 Adjustable Straps, Bright Blue",NiSleep,$43.99,Only 20 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Mattresses & Box Springs', 'Mattresses']",https://m.media-amazon.com/images/I/41ye8pFDZ9L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41ye8pFDZ9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31s6Qhij2fL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NkfW4JYsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ngHqOX6TL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61ChQBN4wCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4155uUUWKJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51mlCnTDKzL._SS522_.jpg']",,NiSleep,BED1318,82 x 79 x 15 inches,"November 11, 2023",China,,,,[],"[{'Material': ' Waterproof Polyester Oxford Fabric '}, {'Color': ' Bright Blue '}, {'Brand': ' NiSleep '}, {'Water Resistance Level': ' Water Resistant '}, {'Closure Type': ' Zipper '}]","['【High-Quality Waterproof Material】：The mattress bag is made of a thick material with a waterproof membrane, and is equipped with a handle, which is designed for movement and storage. Our high-quality mattress bag can ensure the safety of your precious mattress. ', ' 【Perfect For Moving or Storage 】：Our mattress storage bag will keep your valuable mattress safe. All six sides are covered with a waterproof membrane to prevent accidental leakage of liquids and stains into the mattress. Even if you move on a rainy day, you are not afraid of rain intrusion. ', ' 【Adjustable Straps And Strong Handles】: There are 8 heavy handles straps make you easy to lift up in any angles. 2 adjustable straps with buckle allow for tightening up, especially during moving and transportation. ', ' 【Reusable &Machine Washable】: Mattress bags for moving and storage are different from traditional plastic mattress bags. It can be used again, which saves money and protects the environment. It can be machine washed, dried at low temperature, and bleach is not allowed. ', ' 【Mattress Bag Dimension】Suitable for mattresses with a height of 15"".If you are not satisfied with the mattress storage bag, please let us know and we will handle it as soon as possible.']",,"['Product Dimensions: 82 x 79 x 15 inches', 'Item Weight: 3 pounds', 'Manufacturer: NiSleep', 'ASIN: B0CN44TTFJ', 'Country of Origin: China', 'Item model number: BED1318', 'Best Sellers Rank: #129,837 in Home & Kitchen (See Top 100 in Home & Kitchen) #353 in Mattresses', 'Date First Available: November 11, 2023']",122d2099-7cc7-5086-9867-9ae8378a7825,2024-02-02 18:55:02 +B0CDWH5PQP,https://www.amazon.com/dp/B0CDWH5PQP,"sawsile Asymmetrical Wall Mirror,Unique Gold Vintage Baroque Vanity Mirror,18.7x24 Mid Century Modern Decor Irregular Mirror for Living Room, Bedroom,Bathroom",sawsile Store,$59.99,Only 8 left in stock - order soon.,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/41G-NEOXwfL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41G-NEOXwfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Pi3-bKKtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41GECZSVS+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qzn1r7z8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41y9y8Bz0uL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41QNk3t54jL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4158fa5QOdL._SS522_.jpg']",,,,"24""L x 18.7""W",,,Gold,"Wood, Iron",,[],"[{'Brand': ' sawsile '}, {'Room Type': ' Bedroom '}, {'Shape': ' irregularity '}, {'Product Dimensions': ' 24""L x 18.7""W '}, {'Frame Material': ' Wood '}]","['🫒MODERN & UNIQUE DESIGN:Wood Mirror designed with unique irregular line, can match any decorative environment, improve the beauty and art of space, suitable for bathroom, living room, bedroom, makeup mirror, entrance hall, walkway and other uses. ', "" 🫒IDEAL SIZE: Irregular Mirror size is about 18.7'' x 24', the thickness is 0.98'',perfect size for bedroom, entryway, bathroom decoration.uitable for you to match any room. Rustic mirror of the frame is made of natural solid wood, sturdy and durable. The natural wood material has a delicate and beautiful texture, lightweight and comfortable to the touch with polished edges. "", ' 🫒CRYSTAL CLEAR REFLECTION: Our HD clarity bathroom mirror ensures that you see yourself in the best possible light. Made to hotel standards, our irregular wall mirror is crafted with the utmost attention to detail and quality, ensuring that it stands the test of time. ', ' 🫒WIDELY USED: This asymmetrical abstract irregular-shaped mirror perfectly fits wall decor and artistic display for the living room, bedroom, bathroom, or hallway and entry wall. ', ' 🫒SATISFACTION CUSTOMER SERVICE: We attach great importance to product quality and customer shopping experience. If you received products with any problems, please do not hesitate to contact us, we will reply asap and give you a best solution.']","Irregular Mirror Wall Decor,Wood Asymmetrical Bathroom Mirror,Nature Modern Vanity Mirror for Bedroom,Living Room,Washroom :Material：iron/woodSize:20"" x 30""Color:naturePackage Include: 1pc Wall Mirror and 6 screwsWarm notice:1. This body mirror with hooks, which comes with Screws.2. Contact us firstly, if you have any problem. We will resolve it, exchange or refund.","['Room Type: Bedroom', 'Mounting Type: Wall Mount', 'Special Feature: Lightweight', 'Frame Type: Framed', 'Frame Material: Wood', 'Finish Type: Polished', 'Material: Wood, Iron', 'Product Dimensions: 24""L x 18.7""W', 'Assembly Required: No', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 19 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #379,889 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,177 in Wall-Mounted Mirrors', 'Brand: sawsile', 'Number of Pieces: 1', 'Number of Items: 1', 'Shape: irregularity', 'Color: Gold', 'Theme: Vintage']",296d1a30-66d2-5612-b0b5-34285ff78422,2024-02-02 18:55:03 +B0BBKQ3XW9,https://www.amazon.com/dp/B0BBKQ3XW9,"Leather At Home, Decorative 13 Inch Rounded Pillow Handmade from Full Grain Leather - Chair Seat, Confortable Sitting for Round Wooden/Metal Stools - Bourbon Brown",Leather At Home Store,$26.49,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/51ePbFDPNRL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51ePbFDPNRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51iq7cMoVtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5121qQ3EXlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41TgfO31kAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41q-jFQKWJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41lEJHbifIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qliLyzBFL._SS522_.jpg']",,,,"13""L x 13""W",,,Bourbon Brown,Leather,Classic,[],"[{'Fill Material': ' Foam '}, {'Pillow Type': ' Furniture Cushion '}, {'Color': ' Bourbon Brown '}, {'Brand': ' Leather At Home '}, {'Shape': ' Round '}]","['MATERIAL TYPE: Full Grain Leather - Our products are built to withstand the wear and tear of everyday use. Each product is handmade from top quality, full grain leather, making these accessories ready for travel or commutes. When you need reliable products that will last you a lifetime, you can count on Leather At Home. ', "" MATERIAL ORIGIN: Petén, Guatemala - our high quality, full grain leather is sourced locally in the beautiful department of Petén. Known all over the world for its colossal ancient Mayan ruins, dense rainforest, and elusive wildlife, Peten is not only a place of spectacular wonders, but it's also a trade hub for unique raw materials, and proudly bears the status of a perfect example of modern and traditional Guatemala, bursting with tradition and beauty. "", ' MAKER LOCATION: Antigua, Guatemala - Here at Leather At Home, each one of our products is handmade by local artisans of Antigua, Guatemala, a town renowned for its craftsmanship of artisanal goods. We hand-cut and finely hand stitch our products using a tried and true method, resulting in a durable finish and a lifetime of use. Any loose ends are passed over with an open flame to prevent any unravelling. ', "" MAKES A GREAT GIFT + LIFETIME GUARANTEE: Leather At Home proudly stands behind its products and knows that this unique, handcrafted product will make an excellent gift for friends, family and loved ones, whether for birthdays, Christmas, or any special occasion. What's more, we include a 100% Lifetime Customer Satisfaction Guarantee, so if at any point you are not satisfied with your purchase, just get in touch with us so we can make it right.""]",,"['Pillow Type: Furniture Cushion', 'Special Feature: Foot Rest', 'Recommended Uses For Product: Relaxing', 'Item Firmness Description: Extra Firm', 'Fill Material: Foam', 'Cover Material: Leather', 'Product Care Instructions: Hand Wash Only', 'Fabric Type: 100% Full Grain Leather', 'Color: Bourbon Brown', 'Shape: Round', 'Pattern: Solid', 'Style: Classic', 'Theme: Space', 'Occasion: Christmas', 'Best Sellers Rank: #2,017,353 in Home & Kitchen (See Top 100 in Home & Kitchen) #5,386 in Living Room Chairs', 'Brand: Leather At Home', 'Age Range (Description): Adult', 'Product Dimensions: 13""L x 13""W', 'Item Weight: 12.8 Ounces', 'Unit Count: 1.0 Count', 'Item Thickness: 0.68 Inches']",0569942c-8ef5-5a77-b05a-f4ffbf6b3994,2024-02-02 18:55:03 +B0BSKY28M7,https://www.amazon.com/dp/B0BSKY28M7,"Hzuaneri Blanket Ladder Shelf for Living Room, Decorative Wood Quilt Rack with 4 Removable Hooks, 5-Tier Farmhouse Ladder Holder Organizer for Bedroom, Rustic Brown 02101BBR",Hzuaneri Store,$42.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ladder Shelves']",https://m.media-amazon.com/images/I/31XETwaX0WL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31XETwaX0WL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41szU7A1UtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31QHcGuo8nL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51dxM+0DR8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41wB41nPmdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41YO7-GjAeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/91hOz24swNL.SS125_SS522_.jpg']",,Hzuaneri,02101BBR,"19.8""D x 3.6""W x 62""H","January 18, 2023",,,,Farmhouse,[],,"['【Decorative Space Saver】A 5-tier blanket ladder, prop the towel ladder against a wall to store clothes and blankets as a catch-all rack. 4 removable hooks make it easier to place your bag keys, etc. ', ' 【Easy to Assemble】The side columns have a folding hinge structure, and you only need to simply assemble the upper cross braces to complete. With easy-to-follow instructions and numbered parts, you can easily put this quilt ladder together without much effort. ', ' 【Sturdy and Firm Design】 Made with 0.7” thick particleboard, This blanket ladder are made of strong metal and wood, which leans steadily against the wall and holds up to 17.6 lb ', ' 【Wall-Friendly, Floor-Friendly】The beveled top of the ladder shelf and the bottom of the legs are equipped with felt pads to prevent scratching your wall and floor ', ' 【Perfectly Fit Your Room】 Rustic wooden blanket ladder for an old-time classic is meant to match your home decor with a vintage and airy design. It’s a great storage solution for your living room, bedroom, entryway to keep your house organized.']",,"['Room Type: Office, Bathroom, Living Room, Bedroom, Hallway', 'Number of Shelves: 5', 'Special Feature: Portable, Waterproof, Space Saving, Foldable', 'Product Dimensions: 19.8""D x 3.6""W x 62""H', 'Style: Farmhouse', 'Brand: Hzuaneri', 'Product Care Instructions: Wipe with Dry Cloth', 'Size: 5 Tier', 'Assembly Required: Yes', 'Recommended Uses For Product: indoor', 'Number of Items: 1', 'Manufacturer: Hzuaneri', 'Included Components: 1 x Blanket Ladder, 1 x Anti-Tip Kit, 1 x Assembly Kit, 1 x Instructions', 'Model Name: blanket ladder', 'Item Weight: 12.1 Pounds', 'Furniture Finish: black', 'Installation Type: Freestanding', 'Product Name: blanket ladder', 'Shelf Thickness: 0.7 Inches', 'Item Weight: 12.1 pounds', 'Item model number: 02101BBR', 'ASIN: B0BSKY28M7', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 102 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #32,908 in Home & Kitchen (See Top 100 in Home & Kitchen) #6 in Ladder Shelves', 'Date First Available: January 18, 2023']",2ffba8a5-4a7d-5771-9a63-5bd81eb3aad7,2024-02-02 18:55:04 +B0CMJCCT9C,https://www.amazon.com/dp/B0CMJCCT9C,"9 Inch lighted magnifying mirror with Adjustable Height, Double Side 1x/10x Magnifying Mirror with Light, 360°Swivel Vanity Mirror with Stand Brightness Adjustable Travel Cosmetic Mirror (Nickel)",ZLOKLA,$75.99,In Stock,"['Beauty & Personal Care', 'Tools & Accessories', 'Mirrors', 'Makeup Mirrors']",https://m.media-amazon.com/images/I/41j2FBzCCJL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41j2FBzCCJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41TYOZeQePL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51n49wZT9ML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41EpgMf57ML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41WVAcwWpYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41NJ5ciBjSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ZGNeAXeiL._SS522_.jpg']",,,,"14""L x 8""W",,,Brushed Nickel,Alloy Steel,Modern,[],"[{'Brand': ' ZLOKLA '}, {'Room Type': ' Bedroom '}, {'Shape': ' Round '}, {'Product Dimensions': ' 14""L x 8""W '}, {'Frame Material': ' Metal '}]","['【Double Side 1X/10X Magnification Mirror】: ZLOKLA 9 inch lighted magnifying mirror has 1X High Definition and 10X magnification mirror face. One Side UHD 1x led mirror (flat mirror) feature is intended to view an your whole face. Another side 10x magnified mirror feature is used for greater facial details. For example, when using an eyeliner pen, applying eye shadow. Warm tip: When using a 10x vanity mirror, pls maintain a distance of approximately 4 inches to ensure clarity. ', ' 【Free Adjustable Angle and Height Tabletop Vanity Mirror】It is designed a dual axis linkage, desktop mirror surface and body can be adjusted at 90 °, allowing makeup vanity mirror to ""bend over"". It is more comfortable and relaxed when you makeup. ', ' 【Type-C Rechargeable & Foldable, Storable Base】 New Upgraded table top lighted mirror is fully foladable for saving space, and it makes mirror more convenient to carry out and travel. The base of standing cosmetic mirror is added storable space to store necklace, lipstick, jewelry and cosmetics. The rechargeable vanity mirror is wireless and built-in 2000 mAh rechargeable Lithium battery, and Type-C cable is included. You could charge lighted magnification mirror anywhere by adapter or power bank. ', ' 【3 Color Modes & Adjustable brightness】 This desktop vanity mirror has white lights, warm lights and cool lights. The white light can be used when applying makeup for your daily routine, or when going to the office. The warm light can be used for applying makeup for attending a party or going to a club. The natural light can be used for applying makeup when going on a date or for being outdoors. Touching the sensor switch to change the light color and long-press to adjust the brightness. ', "" 【Best Gift Choice】 The makeup mirror with lights face can be rotated 360 degrees. You could adjust the mirror to any angle and position you need. It is a perfect festival gift for your families, friends and lovers, like Halloween, Christmas, New Year, Valentine's Day Gift. ZLOKLA provides 24 hours customer services and 12-months warranty. If you have any problems, please contact with us without hesitation. We will solve your issue in 24 hours.""]",,"['Room Type: Bedroom', 'Mounting Type: Tabletop Mount', 'Special Feature: Cordless', 'Specific Uses For Product: Makeup', 'Frame Type: Framed', 'Frame Material: Metal', 'Finish Type: Nickel', 'Material: Alloy Steel', 'Product Dimensions: 14""L x 8""W', 'Assembly Required: No', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 158 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #94,139 in Beauty & Personal Care (See Top 100 in Beauty & Personal Care) #400 in Personal Makeup Mirrors', 'Brand: ZLOKLA', 'Number of Pieces: 1', 'Number of Items: 1', 'Shape: Round', 'Style: Modern', 'Color: Brushed Nickel', 'Theme: Space']",cb65a15c-6ef5-5abb-9ca7-89de70561f84,2024-02-02 18:55:05 +B0CJCRFZCG,https://www.amazon.com/dp/B0CJCRFZCG,"shopperals Large Black Fogless Handheld Shaving Mirror with Ergonomic Handle -Perfect for Men and Women, 9"" x 13’’",shopperals,$14.95,In Stock,"['Beauty & Personal Care', 'Tools & Accessories', 'Mirrors', 'Shower Mirrors']",https://m.media-amazon.com/images/I/413+UE2HxQL._SS522_.jpg,"['https://m.media-amazon.com/images/I/413+UE2HxQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51G96porfnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41O-SLrTolL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/418vx2eEPzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qz+EEZOjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41p4UWUSiWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41kbccNDRXL._SS522_.jpg']",,,,"13""L x 9""W",,,Black,Plastic,,[],"[{'Brand': ' shopperals '}, {'Room Type': ' Bathroom '}, {'Shape': ' Rectangular '}, {'Product Dimensions': ' 13""L x 9""W '}, {'Frame Material': ' Plastic '}]","['ANTI-FOG: Say Goodbye to Fogged-Up Mirrors with Our Anti-Fog Coated Mirror. Enjoy Uninterrupted Clarity in the Steamiest Showers. The Coding Could Last 6 Months or Longer. ', ' Larger Handheld Mirror: Featuring a Reflective Area of 9"" x 8"" with a Total Length of 13"" (Including Handle). ', ' Ergonomically Designed Round Handle: Lightweight and Easy to Hold for a Flawless Shave. We Believe You Deserve the Best, and in Our Opinion, This Is It. ', ' Experience Unbeatable Quality: Our mirror is designed with a sturdy frame crafted from thick, high-quality plastic. This ensures exceptional durability and prevents any flimsiness, so you can rely on it for long-lasting and reliable performance. ', "" Hassle-Free Assurance: If your mirror arrives broken, we offer a free replacement with no return shipping required. Just contact us and we'll take care of the rest.""]","ANTI-FOG: Say Goodbye to Fogged-Up Mirrors with Our Anti-Fog Coated Mirror. Enjoy Uninterrupted Clarity in the Steamiest Showers. The Coding Could Last 6 Months or Longer. Larger Handheld Mirror: Featuring a Reflective Area of 9"" x 8"" with a Total Length of 13"" (Including Handle). Ergonomically Designed Round Handle: Lightweight and Easy to Hold for a Flawless Shave. We Believe You Deserve the Best, and in Our Opinion, This Is It. Experience Unbeatable Quality: Our mirror is designed with a sturdy frame crafted from thick, high-quality plastic. This ensures exceptional durability and prevents any flimsiness, so you can rely on it for long-lasting and reliable performance. Hassle-Free Assurance: If your mirror arrives broken, we offer a free replacement with no return shipping required. Just contact us and we'll take care of the rest.","['Room Type: Bathroom', 'Surface Recommendation: Plastic', 'Special Feature: Fogless', 'Frame Type: Framed', 'Frame Material: Plastic', 'Material: Plastic', 'Product Dimensions: 13""L x 9""W', 'Assembly Required: No', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 10 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #183,322 in Beauty & Personal Care (See Top 100 in Beauty & Personal Care) #85 in Shower Mirrors', 'Brand: shopperals', 'Number of Pieces: 1', 'Number of Items: 1', 'Shape: Rectangular', 'Color: Black']",6aaa6404-dace-5b83-b965-a557eb1f67b0,2024-02-02 18:55:05 +B07D6TS5MR,https://www.amazon.com/dp/B07D6TS5MR,"Convenience Concepts French Country Desk, Driftwood / White",Convenience Concepts Store,,,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Desks']",https://m.media-amazon.com/images/I/21Xa4sH6hPL._SS522_.jpg,"['https://m.media-amazon.com/images/I/21Xa4sH6hPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41GXI8IAJ1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31y3399YjqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31hngvy6XlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41NhoFpiY-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41u5cZv0KaL._SS522_.jpg']",,1 Year,,"22""D x 36""W x 30.5""H",,,Driftwood/White,Engineered Wood,French Country,[],,"['36-inch workspace ', ' Keyboard tray ', ' Burnt Copper Finish knob ', ' Quick and easy Set up ', ' Will provide years of enjoyment']","The French country desk is the perfect way to brighten up any home office or even dorm room. The 36 inch workspace is the perfect size for any project and the keyboard tray allows for easy storage. With easy assembly, and lots of leg space you'll enjoy it for years. Available in multiple finishes.","['Brand: Convenience Concepts', 'Model Name: French Country', 'Model Number: 6042195DFTW', 'Age Range (Description): Adult', 'Best Sellers Rank: #664,903 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,043 in Home Office Desks', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 284 ratings \n\n\n 4.5 out of 5 stars', 'Style: French Country', 'Color: Driftwood/White', 'Room Type: Office, Dormitory', 'Shape: Rectangular', 'Desk design: Writing Desk', 'Assembly required: Yes', 'Assembly Instructions: Partial Assembly,Avoid Power Tools', 'Warranty Type: Limited', 'Manufacturer Warranty: 1 Year', 'Recommended Uses For Product: Residential Use', 'Target Gender: Unisex', 'Included Components: Desk', 'Finish Type: Burnt,Copper', 'Furniture Finish: white', 'Base Material: Solid Wood,Pine', 'Top Material Type: Engineered Wood', 'Product Dimensions: 22""D x 36""W x 30.5""H', 'Size: 36""L x 22""W x 30.5""H', 'Number of Drawers: 1', 'Item Weight: 35 Pounds', 'Maximum recommended load: 30 Pounds', 'Special Feature: Safety Stop', 'Mounting Type: Freestanding, found in image', 'Base Type: Legs']",22f67009-e60f-589d-bc12-6f3df5a43acd,2024-02-02 18:55:06 +B0BVYQTMNX,https://www.amazon.com/dp/B0BVYQTMNX,"FurnitureR 27''H Round Drawer 2 Tiers Endtable Nightstand Shelf for Living Room Bedroom Balcony, Easy Assembly end Sofa Side Table with Storage, Green and Brown",FurnitureR,,Only 2 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/51VXthftc3L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51VXthftc3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/412Gq5mFmIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51zX4jgtitL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qvlafYILL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41MW-P2qPNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/410W8G5N3PL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/312NNPeooLL._SS522_.jpg']",,,,"20""D x 20""W x 27""H",,,Green and Brown,Engineered Wood,Mid-Century Modern,[],,"[""【 End Table Dimension】Table size: 27'' H X 20'' W X 20'' D. The table is made of MDF, which is scratch-resistant, anti-collision, waterproof and easy to clean, effectively resist desk surface wear and tear when daily use. "", ' 【Storage Space Side Table】The side table covers a small area and has a large storage space. Both the upper and lower drawer and shelves are equipped with storage partitions, gives you extra space to store magazines and toys, and make your room tidy and neat. ', ' 【Multifunctional Table】Our large end tables are practical and stylish and can be integrated with your existing style. They can be used as a drink table, coffee table, snack tables, sofa side table, living room side table or bedside tables in bedrooms, etc. ', ' 【Easy to Assemble】Package includes clear and detailed instructions, numbered parts, and all necessary hardware and tools to assemble this beautiful round coffee table with minimal effort. ', ' 【Satisfactory Guarantee】We are committed to providing fully satisfied service to every single customer. Our professional after-sales service will come back to you within 24 hours if you have any query on this desk']",,"['Brand: FurnitureR', 'Shape: Round', 'Room Type: Living Room, Bedroom, Home Office, Hallway, Dining Room', 'Included Components: Assembly Guide, Installation Tool', 'Color: Green and Brown', ""Model Name: 27''H End Table Round Side Table with Drawer 2 Tiers Sofa Table Endtable Nightstand with Storage Shelf for Living Room Bedroom Balcony, Easy Assembly"", 'Model Number: 9278', 'Target Gender: Unisex', 'Best Sellers Rank: #4,707,409 in Home & Kitchen (See Top 100 in Home & Kitchen) #14,769 in End Tables', 'Special Feature: Storage, Easy Assembly', 'Base Type: Leg', 'Product Dimensions: 20""D x 20""W x 27""H', 'Item Width: 20 inches', 'Item Weight: 20 Pounds', 'Number of Items: 1', 'Frame Material: Engineered Wood', 'Top Material Type: Engineered Wood', 'Style: Mid-Century Modern', 'Table design: Coffee Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly']",07b9d03a-02bc-5bc9-9133-a8e7b706cbc4,2024-02-02 18:55:07 +B00EAY2HTY,https://www.amazon.com/dp/B00EAY2HTY,Flash Furniture Contemporary Red Vinyl Rounded Orbit-Style Back Adjustable Height Barstool with Chrome Base,Flash Furniture Store,,,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/41OOyTZhTzL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41OOyTZhTzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4160nfsBewL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31eTxaa6M1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51iot8TjTbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51PGv7K17OL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/416kj+j7EpL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/B1+zJ9t0NYL.SS125_SS522_.png ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,No,DS-811-RED-GG,"40.75""D x 21.5""W x 21.5""H",,,Red,,Contemporary,[],,"['Chrome/Metal/Foam/Plastic/Vinyl ', ' Imported ', ' Say hello to this remarkable, adjustable height barstool featuring a design that is as distinctive as you are. This modern, chic stool has the versatility to fit into any décor in your home. ', ' Rounded orbit-style back, vinyl upholstery with CAL 117 fire retardant foam ', ' 17.625"" chrome base with footrest ', ' Contemporary style barstool designed for residential use only ', ' PRODUCT MEASUREMENTS: Overall Size: 21.5""W x 21.5""D x 32-40.75""H; Seat Size: 14""W x 15.5""D x 24-32.75""H; Back Size: 14""W x 9.25""H']","Simple meets significant in this sleekly rounded, red orbit-style back adjustable height bar stool. The forward thinking design and curvy silhouette make this adjustable stool a perfect complement to any room. The orbit shaped back support and round seat of this dual use stool is upholstered in a durable, easy to clean vinyl upholstery. The height adjustable swivel seat adjusts from counter to bar height with the handle located below the seat. The chrome footrest supports your feet and relieves pressure from your legs while also providing a contemporary chic design. To help protect your floors, the base features an embedded plastic ring.","['Product Dimensions: 40.75""D x 21.5""W x 21.5""H', 'Color: Red', 'Brand: Flash Furniture', 'Size: 1 Pack', 'Style: Contemporary', 'Furniture Finish: Plastic', 'Maximum Weight Recommendation: 330 Pounds', 'Product Care Instructions: Wipe with Dry Cloth', 'Assembly Required: Yes', 'Number of Pieces: 1', 'Item Weight: 18 pounds', 'Manufacturer: Flash Furniture', 'ASIN: B00EAY2HTY', 'Item model number: DS-811-RED-GG', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 87 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #1,862,814 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,998 in Barstools', 'Is Discontinued By Manufacturer: No', 'Fabric Type: Chrome/Metal/Foam/Plastic/Vinyl', 'Form Factor: Upholstered', 'Finish types: Chrome Metal', 'Warranty Description: 5 year limited (non moving metal parts) 2 yr parts.', 'Batteries required: No', 'Included Components: Vinyl Adjustable Height Barstools', 'Import: Imported']",a15f5945-e1cb-5f94-a589-e5f31cbe5619,2024-02-02 18:55:08 +B0044G9M2S,https://www.amazon.com/dp/B0044G9M2S,"Stylish Camping Ming's Mark RC4 Reversible Classical Patio Mat - 8' x 20', Green/Beige",Stylish Camping Store,$0.60,Only 7 left in stock - order soon.,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/515xhjtnk0L._SS522_.jpg,"['https://m.media-amazon.com/images/I/515xhjtnk0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51M2odfh8iL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41MNv4rlPpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41f5AskzfeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Xq5ugEdvL._SS522_.jpg']",,RC4,RC4,"240""L x 96""W","September 24, 2010",China,Green/Beige,Polypropylene,Modern,[],"[{'Brand': ' Stylish Camping '}, {'Size': "" 8'x20' ""}, {'Material': ' Polypropylene '}, {'Item Weight': ' 7.7 Pounds '}, {'Pile Height': ' Low Pile '}]","['100 percentage virgin polypropylene material makes a durable mat ', ' Breathable material does not hurt grass ', ' UV protection against sun exposure ', ' Easy to clean, just spray with water or sweep']","This reversible outdoor mat is designed for home patio or garden, creating your RV outdoor space, afternoons in the park or days at the beach. Sweep clean with a broom or spray clean with water. Woven polypropylene dries quickly'. Coated with UV protection to resist sun damage and fading. Corner loops can be staked to hold it in place. Folds easily for storage in the included carrying bag. Note: Viewing colors on the internet can be difficult. Different monitor and screen settings may not represent exact color hues. We do our best to represent the colors as accurately as possible. UPC: 837654533673.","['Brand: Stylish Camping', ""Size: 8'x20'"", 'Material: Polypropylene', 'Item Weight: 7.7 Pounds', 'Pile Height: Low Pile', 'Back Material Type: Polypropylene', 'Color: Green/Beige', 'Indoor/Outdoor Usage: Outdoor', 'Theme: Classical,Sun', 'Is Stain Resistant: No', 'Pattern: Solid', 'Shape: Rectangular', 'Special Feature: Breathable,Reversible', 'Room Type: Patio Garden', 'Product Dimensions: 240""L x 96""W', 'Style: Modern', 'Is Autographed: No', 'Manufacturer: Stylish Camping', 'Model: RC4', 'Item Weight: 7.7 pounds', 'Country of Origin: China', 'Item model number: RC4', 'Is Discontinued By Manufacturer: No', 'Manufacturer Part Number: RC4', 'Special Features: Breathable,Reversible', 'ASIN: B0044G9M2S', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 3,887 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #104,753 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #1,250 in Outdoor Doormats', 'Date First Available: September 24, 2010']",780dda1f-e7ef-598e-9c0e-6536c4b4c261,2024-02-02 18:55:09 +B073GLR1DG,https://www.amazon.com/dp/B073GLR1DG,"Christopher Knight Home Adelina Fabric Occaisional Chair, Light Lavendar",Great Deal Furniture Store,,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/41FESwmeXbL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41FESwmeXbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nzieI6a5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/418vGdcgHIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/410CtysWlHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ogoPw0r1L._SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,No,301258,"28.5""D x 28""W x 31.5""H","June 28, 2017",China,Light Lavender,,Wing Back,[],,"['This deep seated occasional chair is perfect for adding a splash of color to your home while still providing extra seating when needed. Made with top quality material and featuring hand crafted detail work, this chair is a must have. Each stud and button was placed by hand; making any piece you buy a one of a kind. ', ' Includes: One (1) Chair ', ' Dimensions: 28.50""D x 28.00""W x 31.50""H ', ' Material: Fabric ', ' Colors available in: Dark Teal, Grey, Light Lavender, or Orange ', ' Leg Material: Birch ', ' Leg Finish: Dark Brown ', ' Light Assembly Required but Completely Worth it!!']","This deep seated occasional chair is perfect for adding a splash of color to your home while still providing extra seating when needed. Made with top quality material and featuring hand crafted detail work, This chair is a must have. Each stud and button was placed by hand; making any piece you buy a one of a kind.","['Brand: GDFStudio', 'Color: Light Lavender', 'Product Dimensions: 28.5""D x 28""W x 31.5""H', 'Back Style: Wing Back', 'Special Feature: Hand Crafted', 'Unit Count: 1.0 Count', 'Pattern: Solid', 'Age Range (Description): Adult', 'Included Components: Chair', 'Shape: Square', 'Model Name: Adelina', 'Surface Recommendation: Indoor', 'Form Factor: Upholstered', 'Furniture Finish: Birch', 'Item Weight: 26.6 pounds', 'Country of Origin: China', 'Item model number: 301258', 'Is Discontinued By Manufacturer: No', 'ASIN: B073GLR1DG', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 55 ratings \n\n\n 4.7 out of 5 stars', 'Date First Available: June 28, 2017']",43c50c14-4d58-5d73-af00-792060e66446,2024-02-02 18:55:10 +B092HVNQQ4,https://www.amazon.com/dp/B092HVNQQ4,"ODK Small Computer Desk, 27.5 inch Desk for Small Spaces with Storage, Compact Table with Monitor & Storage Shelves for Home Office, Modern Style Laptop Desk, Pure White",ODK Store,$79.99,In Stock,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Desks']",https://m.media-amazon.com/images/I/41meqsf8aqL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41meqsf8aqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41jFZkwCTCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41aFId1pteL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nTtU7wZeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41myoDwNmmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41XpGmDRKNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/91uaTOmWfjL.SS125_SS522_.jpg']",,,,"18.9""D x 27.5""W x 32""H",,,Pure White,Engineered Wood,Modern,[],,"['Small Desk for Small Spaces: With a special modern style, this 27.5 inch desk suits for small spaces in your house. It can be a study table or a computer desk. Its compact construction especially fits in a corner space. ', ' Monitor Shelf & Storage Shelf: This study desk is designed with two shelves. One is monitor shelf, which can hold even two computer monitors that make people have a comfort work position such as looking directly into the screens rather than down, avoiding neck pain. The other is storage shelf below the desktop, which can offer an extra space for storage. ', "" Dual-purpose Desk: This small desk can be a desk for PC or laptop. You can assemble the monitor shelf without four supports and it becomes a normal desk which offers a deeper desktop for laptop.(Apply only to 27.5'' desk) "", ' Premium Material: The tabletop of this small computer desk is made of solid particleboard with high quailty. It is designed with scratch-resistant, anti-collision and waterproof. The thick metal frame with high quality ensures the desk stable and sturdy. ', ' Easy to Assemble & Guarantee: It is very easy to assemble this mini desk by using the hardware, tools and instruction included in the one package. Please feel free to contact us as you find any product problems such as damaged issue. We guarantee that give you a reply for solution within 24 hours.']",,"['Brand: ODK', 'Model Number: ZJZ-1846', 'Age Range (Description): Adult', 'Best Sellers Rank: #36,144 in Home & Kitchen (See Top 100 in Home & Kitchen) #165 in Home Office Desks', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 1,606 ratings \n\n\n 4.7 out of 5 stars', 'Style: Modern', 'Color: Pure White', 'Room Type: Office, Bedroom, Study Room', 'Shape: Rectangular', 'Desk design: Computer Desk', 'Finish Type: Steel', 'Base Material: Alloy Steel', 'Top Material Type: Engineered Wood', 'Product Dimensions: 18.9""D x 27.5""W x 32""H', 'Size: 27.5 inch', 'Item Weight: 1 Pounds', 'Special Feature: Compact', 'Mounting Type: Floor Mount', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Recommended Uses For Product: Working, Writing', 'Target Gender: Unisex', 'Included Components: Monitor Stand Shelf']",ccdec6b3-51f9-5f6b-951e-2ac9633392b4,2024-02-02 18:55:11 +B0CB6HZR7Z,https://www.amazon.com/dp/B0CB6HZR7Z,GOmaize Cute Wall Mirror with 4 Layers of Colored Petals 14 inchs Wall Hanging Flower-Shaped Mirror Boho Home Decor for Apartment Living Room，Bedroom&Bathroom Ideas （Blue）,GOmaize,$22.99,Only 16 left in stock - order soon.,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/417WwDOB5XL._SS522_.jpg,"['https://m.media-amazon.com/images/I/417WwDOB5XL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ycMJTbgKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41YqjVEP+hL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41djLqUYNLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51lJjARoUAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/410ox7dIzwL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51CLyfB3IlL._SS522_.jpg']",,,,"14""L x 14""W",,,Blue,Plastic,Bohemian,[],"[{'Brand': ' GOmaize '}, {'Room Type': ' Living Room '}, {'Shape': ' Sunburst '}, {'Product Dimensions': ' 14""L x 14""W '}, {'Frame Material': ' Glass '}]","['1.Cute fit: A flower-shaped mirror that measures 14 inches by 14 inches. Suitable for home decor. ', ' 2.Four colors to choose from: Beautiful flower mirrors come in four colors, you can decorate the room with flower mirrors, if you want, you can arrange various combinations to give the room a unique and elegant decoration. ', ' 3.Beautiful wall decor: These adorable flower mirrors add a chic, minimalist interior to every room in your beloved home. The unique design, close to nature, provides an enchanting and mysterious atmosphere that blends fashion and home decor into one. ', "" 4.The wall mirror is made of high quality materials: plastic,glass mirror. The mirror is sturdy, bright and eye-catching, and will grace your room. Great gifts for your family and friends who love Bohemian style, as well as birthday, holiday, housewarming, Mother's Day gifts. "", ' 5.Scope of application: Mirror of flower-shaped is a kind of excellent adornment metope art. It brings nature and beauty into your room. Just place it in your living room, dorm room, bedroom, bathroom, nursery and any other place you want to have a powerful view']","Gomaize wall mirror with flower-shaped decorative mirrors. The back has been equipped with a hook, which can be directly hung at the selected position. Flower-shaped mirrors can be arranged and combined freely. You can even buy multiple sets, so you can arrange and combine more freely. Add a chic, fashionable and minimalist interior appearance to the indoor space, which can be displayed in every room of your lovely home. The unique design provides a charming and mysterious atmosphere, integrating fashion and home decoration. Suitable for hanging on the wall. Put it in your living room, bedroom, bathroom, baby room and any other place where you want to have a strong view。","['Room Type: Living Room', 'Mounting Type: Wall Mount', 'Frame Type: Framed', 'Frame Material: Glass', 'Material: Plastic', 'Shape: Sunburst', 'Style: Bohemian', 'Color: Blue', 'Theme: Bohemian', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 4 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #837,596 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,437 in Wall-Mounted Mirrors', 'Brand: GOmaize', 'Number of Pieces: 1', 'Number of Items: 1', 'Product Dimensions: 14""L x 14""W', 'Assembly Required: No']",f94f084a-a222-5c00-98c2-c332a0a31be2,2024-02-02 18:55:11 +B0C8SGN73S,https://www.amazon.com/dp/B0C8SGN73S,"huester What are You Doing in My Swamp Door Mat 17""x30"" Decorative Home Farmhouse Indoor Outdoor Front Porch Door Mat,Funny Welcome Door Mat Decor,Housewarming Gifts",huester,$12.99,Only 13 left in stock - order soon.,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51L59TyllJL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51L59TyllJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/612sL9RIyKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61WQhmtwHnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61s3K58CDfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51LfqbF-G2L._SS522_.jpg']",,huester,282HL,"30""L x 17""W","June 21, 2023",China,,Rubber,Farmhouse,[],"[{'Brand': ' huester '}, {'Weave Type': ' Tufted '}, {'Pile Height': ' Low Pile '}, {'Back Material Type': ' Rubber '}, {'Theme': ' Welcome '}]","['●ENTRANE WELCOME MAT:17X30 inches.Stylish design makes the mat looks great in any house. Suitable for exterior patio entry way, porch door, garage, garden, laundry room,toilet,living room,office entryway or indoor bedroom or kitchen doors. ', ' ●NON-SLIP RUBBER BASE:Our mats are made from linen and Non-toxic eco-friendly recycled rubber.They are great all year long, perfect for rainy, muddy and snowy days. ', ' ●SCRAP DIRT & EASY TO CLEAN:It can scrap off dirt, dust, grit, mud, grass or snow and absorb moisture from shoe. Simply vacuum the doormat with a hand-held vacuum, sweep with a broom, or shake off the doormat outside or over your garbage bin. For a deeper clean, the doormat is machine washable and can be placed in the dryer. We recommend to rinse using cold water and tumble dry on low ', ' ●GREAT GIFT: It is a ideal gift for families friends and neighbors,charming gifts for our Home. ', ' ●WARM TIPS: In order to prevent the product from creases during transportation, We use curl packaging. Our aim is to provide customers with a 100% satisfactory shopping experience.']","●ENTRANE WELCOME MAT:17X30 inches.Stylish design makes the mat looks great in any house. Suitable for exterior patio entry way, porch door, garage, garden, laundry room,toilet,living room,office entryway or indoor bedroom or kitchen doors. ●NON-SLIP RUBBER BASE:Our mats are made from linen and Non-toxic eco-friendly recycled rubber.They are great all year long, perfect for rainy, muddy and snowy days. ●SCRAP DIRT & EASY TO CLEAN:It can scrap off dirt, dust, grit, mud, grass or snow and absorb moisture from shoe. Simply vacuum the doormat with a hand-held vacuum, sweep with a broom, or shake off the doormat outside or over your garbage bin. For a deeper clean, the doormat is machine washable and can be placed in the dryer. We recommend to rinse using cold water and tumble dry on low ●GREAT GIFT: It is a ideal gift for families friends and neighbors,charming gifts for our Home. ●WARM TIPS: In order to prevent the product from creases during transportation, We use curl packaging. Our aim is to provide customers with a 100% satisfactory shopping experience.","['Brand: huester', 'Weave Type: Tufted', 'Pile Height: Low Pile', 'Back Material Type: Rubber', 'Theme: Welcome', 'Is Stain Resistant: Yes', 'Product Care Instructions: Machine Wash', 'Pattern: Grass', 'Shape: Rectangular', 'Special Feature: Machine Washable', 'Product Dimensions: 30""L x 17""W', 'Rug Form Type: Doormat', 'Style: Farmhouse', 'Item Weight: 14.1 ounces', 'Manufacturer: huester', 'ASIN: B0C8SGN73S', 'Country of Origin: China', 'Item model number: 282HL', 'Best Sellers Rank: #248,106 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #3,296 in Outdoor Doormats', 'Date First Available: June 21, 2023']",898f9288-4d9e-5c1c-9d3a-82ee0335c9ae,2024-02-02 18:55:12 +B0B31DB3LN,https://www.amazon.com/dp/B0B31DB3LN,"Bedstory 3 Inch Queen Size Memory Foam Mattress Topper, Extra Firm Pain-Relief Bed Topper High Density, Enhanced Cooling Pad Gel Infused, Non-Slip Removable Skin-Friendly Cover, CertiPUR-US Certified",BedStory Store,$59.99,Only 1 left in stock - order soon.,"['Home & Kitchen', 'Bedding', 'Mattress Pads & Toppers', 'Mattress Toppers']",https://m.media-amazon.com/images/I/516PONoRDrL._SS522_.jpg,"['https://m.media-amazon.com/images/I/516PONoRDrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cEw2HBQRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wJIGNFulL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511RB-PGGJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51GFcbwSd2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/419LZbnDoXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A15+8c0n6DL.SS125_SS522_.jpg']",,BedStory Direct US,,80 x 60 x 3 inches,"June 2, 2022",,White,Memory Foam,,[],"[{'Brand': ' BedStory '}, {'Color': ' White '}, {'Size': ' Queen '}, {'Fabric Type': ' Skin-friendly Cover '}, {'Special Feature': ' Supportive, Pressure-Relief & Spine Alignment, Motion Isolation, Cooling & Skin-friendly, Moisture Absorption, Purify the Air, Non-slip See more '}]","['RELIEVE PAIN & PROTECT THE SPINE - This high-density memory foam composed can conform to your curves and distributes weight evenly to align the spine and alleviate pressure points, and it can make your soft mattress firmer. ', ' 2-LAYER DESIGN & OPTIONAL FIRMNESS - If you don\'t know what firmness is right for you, choose this! Featuring the double-layer foam design, the top side is medium-firm, and the bottom side is firm, giving you the ""just right"" firmness. ', ' COOLING GEL & BREATHABLE DESIGN - With breathable open-cell technology and gel-infusion, this mattress topper can absorb and disperse body heat to regulate your temperature and keep you cool and fresh. And the 3D mesh ventilated design promotes air circulation in the mattress. ', ' CertiPUR-US & OEKO CERTIFIED ENSURE SAFETY - CertiPUR-US certified foam and OEKO-TEX cover to meet specific standards. Simply allow the compressed gel memory foam mattress topper to fully expand for 24 hours and dissipate the slight new foam smell. ', ' HYPOALLERGENIC COVER & NON-SLIP - With a breathable knitted fabric cover, this mattress topper is skin-friendly and anti-pilling. Equipped with four elastic straps to prevent the mattress topper from sliding off the mattress.']",,"['Brand: BedStory', 'Color: White', 'Size: Queen', 'Fabric Type: Skin-friendly Cover', 'Special Feature: Supportive, Pressure-Relief & Spine Alignment, Motion Isolation, Cooling & Skin-friendly, Moisture Absorption, Purify the Air, Non-slip', 'Closure Type: Zipper', 'Product Care Instructions: Machine Wash', 'Water Resistance Level: Not Water Resistant', 'Age Range (Description): Adult', 'Material: Memory Foam', 'Thread Count: 500', 'Product Dimensions: 80 x 60 x 3 inches', 'Item Weight: 24.6 pounds', 'Manufacturer: BedStory Direct US', 'ASIN: B0B31DB3LN', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 158 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #126,148 in Home & Kitchen (See Top 100 in Home & Kitchen) #257 in Mattresses Toppers', 'Date First Available: June 2, 2022']",48dbde9c-5868-58a6-b2c9-cb5f0b075fe2,2024-02-02 18:55:13 +B01AA0SO7A,https://www.amazon.com/dp/B01AA0SO7A,Toland Home Garden 800252 Birthday Bash Party Door Mat 18x30 Inch Balloon Outdoor Doormat for Entryway Indoor Entrance,Toland Home Garden Store,,In Stock,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51rfyHppFmS._SS522_.jpg,['https://m.media-amazon.com/images/I/51rfyHppFmS._SS522_.jpg'],,Toland Home Garden,800252,"30""L x 18""W",,USA,Balloon Outdoor Doormat for Entryway Indoor Entrance,Rubber,Modern,[],"[{'Brand': ' Toland Home Garden '}, {'Size': ' 18x30 Inch '}, {'Material': ' Polyester, Rubber '}, {'Weave Type': ' Machine Made '}, {'Item Weight': ' 1.4 Pounds '}]","[""NON-SKID BACKING: Toland Home Garden's Doormats feature a non-skid rubber backing to prevent accidental slipping "", "" DURABLE DESIGN: Toland's Doormats are topped with polyester felt that is low-profile to reduce chances of tripping and a high-quality durable construction that is fade and stain resistant "", ' STANDARD SIZE: Doormats are 18"" x 30"" and fit in all 18 x 30 inch mat holders ', ' QUICK CLEAN: No scrubbing needed! Doormats are a great tool to help keep floors tidy and cleaning is quick and easy; just spray off with a hose or use a sponge and mild detergent to clean dirt or yard debris ', ' PRODUCED IN USA: Our doormats are produced in the USA with vibrant, decorative designs that will turn any porch, entrance or patio into a charming work of art']","At Toland Home Garden, we believe in making mats that are bright and vibrant for all times of the year. We create our designer mats to be an enchantment to every season, an announcement for every holiday, and a declaration of your personal style year-round. Our Standard Mats and printed and pressed in the USA using creative, original artworks licensed exclusively for Toland. There are many great uses for our Standard Mats. Create an inviting entry way to welcome all your guests; use a variety of our seasonal designs to toast the holidays in every room of your house; place as a creative accent rug in any foyer. Your pets may even claim the mats as their new favorite spot to guard your house!  With hundreds of designs we have many beautiful mats to choose from so buy one as a treat for yourself or a couple as gifts for loved ones!","['Brand: Toland Home Garden', 'Size: 18x30 Inch', 'Material: Polyester, Rubber', 'Weave Type: Machine Made', 'Item Weight: 1.4 Pounds', 'Pile Height: Low Pile', 'Construction Type: Machine Made', 'Back Material Type: Rubber', 'Color: Balloon Outdoor Doormat for Entryway Indoor Entrance', 'Indoor/Outdoor Usage: Outdoor, Indoor', 'Theme: Holidays', 'Is Stain Resistant: Yes', 'Product Care Instructions: Spray with hose or wash with sponge and mild detergent', 'Pattern: Letter Print', 'Shape: Rectangular', 'Special Feature: Stain Resistant', 'Room Type: Hallway', 'Product Dimensions: 30""L x 18""W', 'Rug Form Type: Doormat', 'Style: Modern', 'Item Thickness: 0.18 Inches', 'Item Weight: 1.4 pounds', 'Manufacturer: Toland Home Garden', 'ASIN: B01AA0SO7A', 'Country of Origin: USA', 'Item model number: 800252', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 1 rating \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #762,873 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #12,372 in Outdoor Doormats']",15abc66c-664d-581b-8a7f-283a7bc1e634,2024-02-02 18:55:13 +B0CPLSTFW5,https://www.amazon.com/dp/B0CPLSTFW5,"Asense Small Footstool Ottoman Set of 2, Faux Leather Upholstered Rectangular Footrest with Plastic Legs, Celadon",Asense Store,$49.99,Only 1 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/31mK9NtBNHL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31mK9NtBNHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41GMeMR7RuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31E0vOVUGXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41k6dghOnrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Wf7UisXJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31DfQGAVd1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41X+Zqm8u5L.SS125_SS522_.jpg']",,Asense,KX30AM26AS5-1Y23,"9.8""D x 13.8""W x 9.1""H","December 6, 2023",China,2 Pack Faux Leather Celadon,,Modern,[],,"['Lightweight and Easy to Move - This small footstool ottoman is compact enough to keep near your couch, under chair or even under a desk. The rectangular small footrest is a space saver, can be moved around as needed, perfect fit for any room in your home. Overall dimension is 11.4""D x 15.4""W x 9.3""H. ', ' Multifunction - Elegant and chic design with class decorative appearance match for many place. This stylish footrest can be used when getting dressed in the bedroom, putting on shoes at the entryway, having a rest on chair or using as a footrest under desk. Ideal for the living room, guest room, bedroom, home station, office, entryway and so on. ', ' Anti-slip Legs - The footstool legs made of sturdy plastic, and it comes with felt pads to prevent scratches on floor and keep it from sliding. ', ' Comfortable Footstool - The fabric of the ottoman footrest stool is skin-friendly and comfortable. This small ottoman is perfect for any style of home decor. ', ' Easy to Assemble - Just need to assemble the 4 legs of the stool. The 4 legs are in the zipper pocket at the bottom. NOTE: In order to allow you to use the stool more safely, please do not stand on the stool.']",,"['Product Dimensions: 9.8""D x 13.8""W x 9.1""H', 'Color: 2 Pack Faux Leather Celadon', 'Brand: Asense', 'Style: Modern', 'Furniture Finish: Unfinished', 'Seat Height: 9.1 Inches', 'Maximum Weight Recommendation: 330 Pounds', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 3.7 pounds', 'Manufacturer: Asense', 'ASIN: B0CPLSTFW5', 'Country of Origin: China', 'Item model number: KX30AM26AS5-1Y23', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 1 rating \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #449,573 in Home & Kitchen (See Top 100 in Home & Kitchen) #735 in Ottomans', 'Date First Available: December 6, 2023']",035b473a-3a71-5928-9718-4f2c8e8b6df6,2024-02-02 18:55:14 +B099VZPTWT,https://www.amazon.com/dp/B099VZPTWT,"PINGEUI 2 Packs 13 Inches Bamboo Step Stool, Non-Slip Bamboo Small Seat Stool, Durable Bamboo Footrest Bench with Storage Shelf for Bathroom, Bedroom, Kitchen",PINGEUI Store,$33.99,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Step Stools']",https://m.media-amazon.com/images/I/41Y0vrrtp7L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Y0vrrtp7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/413KA-eYaCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51CoLleQTHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414Nr0nuUVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Z-OK+ESNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51CcOGoSXVL._SS522_.jpg']",,PINGEUI,,"9.4""D x 12.5""W x 13.3""H","July 20, 2021",,Brown,Bamboo,Modern,[],"[{'Product Dimensions': ' 9.4""D x 12.5""W x 13.3""H '}, {'Brand': ' PINGEUI '}, {'Material': ' Bamboo '}, {'Color': ' Brown '}, {'Special Feature': ' Durable,Eco-friendly '}]","['DURABLE MATERIAL - The bamboo stool is made of natural material, which is eco-friendly and non-slip. Painted with varnish, its surface is smooth without burrs. The fine craftsmanship ensures durability and long service life. ', ' STURDY STOOL - The bamboo step stool is sturdy. Each woodblock is tightly fixed by screws and the storage shelf provides a reinforced structure. You can sit or step on the stool, and it will not shake or fall apart. It has a load-bearing capacity which is up to 165 lbs. ', ' VALUABLE PACKAGE - You will receive 2 pieces of our bamboo one-step stools with a size of 12.5 x 9.4 x 13.3 inches. There is no need to buy additional tools because we provide all the necessary accessories including 8 leveling screws, 16 hexagonal screws, 8 nuts, and a wrench for easy assembly. ', ' PRACTICAL & CONVENIENT - The small bamboo seat stool comes with a storage shelf, which is convenient for you to put some items on it. You can use the stool in your kitchen, bedroom, bathroom, office, living room, etc. With a suitable size, it can be put in a small corner to save space. ', "" AFTER-SALES SERVICE - We hope you are satisfied with our products, which is why we provide you with a risk-free purchase. If you have any questions or dissatisfaction with our bamboo stools, please feel free to contact us. We'll get back to you within 24 hours. This product comes with a 30-day money-back guarantee.""]","ABOUT US PINGEUI is committed to providing practical and affordable bamboo step stools. We are energetic to welcome every customer and enthusiastically provide customers with professional and useful product information. WHY CHOOSING US ? With a small size and a light weight, the bamboo one-step stool is portable. You can easily carry it from place to place. The bamboo step stool is tightly fixed by screws and the storage shelf provides a reinforced structure. All necessary accessories are included for assembling the bamboo stool and they have been treated for rust prevention. The size of the small bamboo seat stool is 12.5 x 9.4 x 13.3 inches, and its max load-bearing capacity is 165 lbs. PRODUCT DETAILS: Material: bamboo Color: natural wood color Size: 12.5 x 9.4 x 13.3 inches (L x W x H) Max load bearing capacity: 165 lbs PACKAGE CONTENTS: 2 x Bamboo Stool","['Product Dimensions: 9.4""D x 12.5""W x 13.3""H', 'Brand: PINGEUI', 'Material: Bamboo', 'Color: Brown', 'Special Feature: Durable,Eco-friendly', 'Room Type: Bathroom,Bedroom,Kitchen,Living Room,Office', 'Age Range (Description): Adult', 'Maximum Height: 13.3 Inches', 'Weight Limit: 165 Pounds', 'Style: Modern', 'Is Foldable: Yes', 'Assembly Required: Yes', 'Item Weight: 6.39 pounds', 'Manufacturer: PINGEUI', 'ASIN: B099VZPTWT', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 27 ratings \n\n\n 4.6 out of 5 stars', ""Best Sellers Rank: #1,353,296 in Home & Kitchen (See Top 100 in Home & Kitchen) #652 in Kids' Step Stools"", 'Date First Available: July 20, 2021']",6a57c399-4049-557a-8c80-01e97618436f,2024-02-02 18:55:14 +B0183K9SMO,https://www.amazon.com/dp/B0183K9SMO,"Poundex Y1553 Two Piece PU Round Shape Barstool Set, Black Adjustable Bar Stool",Poundex Store,,,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/31XVd1lG-zL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31XVd1lG-zL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31wdevKLZnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31cgsrzSC2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31c5tcG4mcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31DV+ksjBjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31erU6kYrtL._SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,No,PDEX-F1553,"18""D x 20""W x 38""H","November 17, 2015",,Black,,Modern,[],,"['Adjustable seat height 24""-30"" ', ' Chrome base ', ' Soft touch pu ', ' Easy assembly and tools are all included']","Reminiscent of a solar ring, this adjustable swivel barstool comes adorned in a faux leather with a silver pole frame and round base. Available in black and white. Features: Finish: Black material: Faux leather chrome base easy assembly and tools are all included specifications: Overall product dimensions: 38 "" h x 20 "" w x 18 "" d overall product weight: 34 lbs. adjustable seat height 24""-30"".","['Product Dimensions: 18""D x 20""W x 38""H', 'Color: Black', 'Brand: Poundex', 'Style: Modern', 'Furniture Finish: Chrome', 'Seat Height: 30 Inches', 'Maximum Weight Recommendation: 34 Pounds', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 18 pounds', 'Item model number: PDEX-F1553', 'Is Discontinued By Manufacturer: No', 'ASIN: B0183K9SMO', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 5 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #3,640,697 in Home & Kitchen (See Top 100 in Home & Kitchen) #7,502 in Barstools', 'Date First Available: November 17, 2015']",d3b554f6-79f8-5da7-b974-e912c6f767fb,2024-02-02 18:55:15 +B0C99SY5W2,https://www.amazon.com/dp/B0C99SY5W2,"SP-AU-Era Mirror cabinet storage box, cosmetics, lipstick storage rack, bathroom desktop organization box, storage box (blackish green)",SP-AU-Era,$15.00,In Stock,"['Home & Kitchen', 'Furniture', 'Bathroom Furniture', 'Bathroom Sets']",https://m.media-amazon.com/images/I/61zDAVHDAfL._SS522_.jpg,"['https://m.media-amazon.com/images/I/61zDAVHDAfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Rib8p0uML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61GeHRTveLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61lZaVUmD9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61d1GiS0RpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61hYnhhbdeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71rWIAYZu7L._SS522_.jpg']",,,YM66345,7.08 x 3.93 x 4.92 inches,"June 25, 2023",China,blackish green,PET,"Wall-mounted Perforated Home Bathroom Sink, Cosmetics, Lipstick Storage Rack",[],[],[''],"Makeup Display Cases, mirror cabinet storage box, Stacking design ,home bathroom sink, cosmetics lipstick storage rack,Desktop storage box","['Item Weight: 7.7 ounces', 'Product Dimensions: 7.08 x 3.93 x 4.92 inches', 'Country of Origin: China', 'Item model number: YM66345', 'Color: blackish green', 'Style: Wall-mounted Perforated Home Bathroom Sink, Cosmetics, Lipstick Storage Rack', 'Material: PET', 'Pattern: 菱形格', 'Special Features: 轻量', 'Batteries Required?: No', 'ASIN: B0C99SY5W2', 'Best Sellers Rank: #6,137,311 in Home & Kitchen (See Top 100 in Home & Kitchen) #331 in Bathroom Furniture Sets', 'Date First Available: June 25, 2023']",659158fe-b2ca-5ea7-b5f2-205f74a5e4bc,2024-02-02 18:55:15 +B0BB9RZ19N,https://www.amazon.com/dp/B0BB9RZ19N,"Kavonty Storage Chest, Storage Bench, Retro Toy Box Organizer with U-Shaped Cut-Out Pull, 29.5"" L×15.7"" W× 17.7”H, Entryway Storage Bench with 2 Hinges,Supports 300 lb, Easy Assembly, Rustic Brown",Kavonty Store,$69.99,In Stock,"['Home & Kitchen', 'Furniture', 'Entryway Furniture', 'Storage Benches']",https://m.media-amazon.com/images/I/41YpXf+0X2L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41YpXf+0X2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51sc+WgW5bL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41KoVOYjdQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511BfczGrjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51SS9YLpbBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51zn-2h+DxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5123b4UlxDL._SS522_.jpg']",,Kavonty,TC01FHS,"15.8""D x 29.5""W x 17.7""H","August 20, 2022",,Rustic Brown,,,[],,"['[Large Storage Space] This storage chest is 29.5”L x 15.7”W x 19.9”H in size .This toy chest has a spacious storage space under the hinged cover, providing a variety of storage options. This large storage bench boasts a spacious compartment to stow your blankets, pillows, clothes, and books away for an organized living space ', "" [2 Safety Hinges, Steadier and Safer] TIt's safe. The safety hinge keeps the lid in a fixed position so you can tidy up calmly without worrying about the lid falling on your hands "", "" [Store & Organize]Store all of your child's toys in this versatile wood toy chest.The rustic brown color matches with the traditional decor that’s always in fashion "", ' [Multifunctional Storage Chest] This retro toy box fits anywhere in your room. Use it as a shoe bench in the hallway, a storage bench/storage chest in the living room, or a bedside bench/toy chest in the bedroom. Not only practical but will also be an ornament that adds a warm farmhouse vibe to your home. ', ' [Easy to Assemble] No difficult assembly here! With easy-to-read instructions and clearly-marked parts, you’ll finish the assembly in no time and get this entryway bench ready ASAP']",,"['Product Dimensions: 15.8""D x 29.5""W x 17.7""H', 'Color: Rustic Brown', 'Size: 15.8""D x 29.5""W x 17.7""H', 'Seat Height: 17.7 Inches', 'Brand: Kavonty', 'Product Care Instructions: Wipe with Dry Cloth', 'Seating Capacity: 2', 'Item Weight: 28.7 pounds', 'Manufacturer: Kavonty', 'ASIN: B0BB9RZ19N', 'Item model number: TC01FHS', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 42 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #211,542 in Home & Kitchen (See Top 100 in Home & Kitchen) #189 in Storage Benches', 'Date First Available: August 20, 2022']",69390ebf-5ded-5059-a2e5-bab448cc07e1,2024-02-02 18:55:16 +B01L0YHBB0,https://www.amazon.com/dp/B01L0YHBB0,"Barkan TV Wall Mount, 32-70 inch Full Motion Articulating - 4 Movement Flat/Curved Screen Bracket, Very Low Profile, Holds up to 88 lbs, Lifetime Limited Warranty, UL Listed, Fits LED OLED LCD",Barkan Store,$65.64,In Stock,"['Electronics', 'Television & Video', 'Accessories', 'TV Mounts, Stands & Turntables', 'TV Wall & Ceiling Mounts']",https://m.media-amazon.com/images/I/41NgcrmTA7L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41NgcrmTA7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51r-tuxkrjS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51dkTUFAloL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mMrc7MM9S._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Ey0TlgtXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51HLkpDz5DS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41k69OoiVFL.SS40_SS522_.jpg']",,Barkan,3400F.B,14.02 x 12.48 x 2.17 inches,"July 3, 2016",China,,,,[],"[{'Mounting Type': ' Wall Mount '}, {'Movement Type': ' Articulating '}, {'Brand': ' Barkan '}, {'Material': ' Metal '}, {'TV Size': ' 70 Inches '}, {'Color': ' Black '}, {'Minimum Compatible Size': ' 40 Inches '}, {'Compatible Devices': ' Television '}, {'Maximum Tilt Angle': ' 10 Degrees '}]","['► EXTREMELY EXTENDABLE - Minimum distance from the wall - 2.4"", Maximum distance from the wall - 25.2"". Allow viewing from a variety of places and locating the screen around the corner of a wall. ', ' ► SELF, EASY AND FAST ASSEMBLY - 1. Attach the adapters to the rear side of the TV 2. Install the bracket on the wall 3. Snap the TV onto the bracket. ', ' ► PATENTED, FITS VARIOUS SCREEN TYPES - this mount fits both flat and curved TVs, as well as TVs that have special structures on their backs. Some of the TVs have unique structures on their backs such as bumps, indentions, or nonstandard connection-hole patterns. Those special structures make it impossible to use normal TV mounts. To solve this problem without customers making unnecessary purchases, we developed a line of products based on a ball and socket mechanism, just like in a human shoulder. The four adapters can move in 2 dimensions which allows the mount to hug the screen firmly without any use of spacers or other improvised solutions. ', ' ► FEATURES - The TV mount fits most 40-70"" TVs up to 88 lbs. Fits TVs with VESA (Bracket Mounting Holes Patterns) 200x100, 200x200, 300x300, 300x400, 400x200, 400x300, 400x400, 600x400 mm and non VESA up to 600x400 mm. ', ' ► FUNCTIONALITY - The mount has 3 pivots which: rotate near the wall (double arm) 180°, fold 360°, swivel near the screen connection plate 180° in addition to a tool-free tilt from 0° till 10°. Allows a 90° swivel for TVs up to 50"". ', ' ► WORLD KNOWN BRAND - Since its foundation in 1988, Barkan Mounts has been working to enhance the viewing experience of the customer. Our expertise is in the development, manufacturing and marketing of designed and innovative TV Mounts. Our customer service experts are available every day of the week, and are ready to help! Visit our website to find more information, any kind of help, manuals, FAQ and more. ', ' ► KIDS SAFETY - Child safety is of the utmost importance. When it comes to TVs and appliances our goal is to raise the awareness of possible dangers from a tip-over of the TV. The safest solution is to hang the TV on a strong and safe mount. Therefore, all Barkan TV mounts include a Fall Proof system that prevents disengagement of the screen. ', ' ► TOUCH & MOVE - Easily rotate, swivel or tilt the TV by gently pushing or pulling it to the desied angle. Enjoy the perfect point of view without any trouble.']",,"['Product Dimensions: 14.02 x 12.48 x 2.17 inches', 'Item Weight: 11.5 pounds', 'ASIN: B01L0YHBB0', 'Item model number: 3400F.B', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 317 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #98,948 in Electronics (See Top 100 in Electronics) #1,306 in TV Wall & Ceiling Mounts', 'Is Discontinued By Manufacturer: No', 'Date First Available: July 3, 2016', 'Manufacturer: Barkan', 'Country of Origin: China']",9d0cfb85-3c5e-5c77-a880-e1e4e6512d85,2024-02-02 18:55:17 +B09FXM34DV,https://www.amazon.com/dp/B09FXM34DV,"danpinera Side Table Round Metal, Outdoor Side Table Small Sofa End Table Indoor Accent Table Round Metal Coffee Table Waterproof Removable Tray Table for Living Room Bedroom Balcony Office (Green)",danpinera Store,$35.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41fuboxDT3L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41fuboxDT3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51KYQ4wAgPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31z+4d+WFML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/413kkWvcleL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Iyhcol-oL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51D+APNFXmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/81GmVwf8p7L.SS125_SS522_.jpg']",,,,"16.38""D x 16.38""W x 20.28""H",,,Light Green,Iron,Modern,[],,"['Strong\xa0Practicality: Removable tray design is convenient for food and refreshment, you can take up the tray of the end table wherever. The ring under the tray prevents the tray from tipping over ', ' Sturdy\xa0and\xa0Durable: The round end table is made of anti-rust and waterproof metal. Wear-resistant coating can ensure the durability, you can use it indoor or outdoor. ', ' Safe Design: The four legs are welded with x-shaped rods on both top and base to ensure stability, and each end table leg has a non-slip rubber pad for floor protection and avoid noising your pets. ', ' Extensive\xa0Use: This side table is very light and easy to move, you can easily move it to the place you want. Perfect used in garden, bedroom, or living room, and on the side of camping chair, sofa, bed, or on the corner of room. ', ' Simple and Stylish：Assembly of this round metal side table is simple and requires only a few basic operations. Geometric elements, iron frame structure, suitable for any style of decoration. Measurment: 16.38 inches diameter x 20.28 inches high.']",,"['Brand: danpinera', 'Shape: Round', 'Room Type: Bedroom, Living Room, Home Office', 'Color: Light Green', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 3,793 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #60,171 in Home & Kitchen (See Top 100 in Home & Kitchen) #227 in End Tables', 'Style: Modern', 'Table design: End Table', 'Pattern: Solid', 'Product Dimensions: 16.38""D x 16.38""W x 20.28""H', 'Item Width: 16.38 inches', 'Size: 16.38D x 16.38W x 20.28H in', 'Number of Items: 1', 'Frame Material: Metal', 'Top Material Type: Iron', 'Special Feature: Storage', 'Base Type: Cross', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly']",aed8f17f-e051-52d0-8e8f-7cb29697cb8d,2024-02-02 18:55:18 +B0CG5SJN86,https://www.amazon.com/dp/B0CG5SJN86,Dscabomlg Foldable Shoe Storage Plastic Vertical Shoe Rack Shoe Organizer for Closet Narrow Shoe Shelf Plastic-B,Dscabomlg,$12.99,Only 2 left in stock - order soon.,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Free Standing Shoe Racks']",https://m.media-amazon.com/images/I/41bq4r8uj5L._SS522_.jpg,['https://m.media-amazon.com/images/I/41bq4r8uj5L._SS522_.jpg'],,Dscabomlg-US,Dscabomlg-SR,"10.5""D x 10.5""W x 12.7""H","August 21, 2023",,Grey&white,,Modern,[],,"['Foldable Shoe Storage Plastic Vertical Shoe Rack Shoe Organizer for Closet Narrow Shoe Shelf Plastic ', ' Applicable shoe size range: within 10.5*10.5*6.1 inches, each tier can bear approximately 5 pounds, please do not exceed the weight limit. Please ensure your shoe size before making a purchase, and do not exceed the weight limit when using. ', ' Important notice: Due to being a plastic product, there may be instances of breakage or damage during transportation. If you receive a defective product, please contact us immediately for a replacement to ensure a satisfactory shopping experience.']",,"['Special Feature: Foldable', 'Product Dimensions: 10.5""D x 10.5""W x 12.7""H', 'Style: Modern', 'Brand: Dscabomlg', 'Product Care Instructions: Wipe with Dry Cloth', 'Size: Vertical', 'Recommended Uses For Product: Shoes', 'Number of Items: 1', 'Manufacturer: Dscabomlg-US', 'Furniture Finish: Stainless Steel', 'Installation Type: Freestanding', 'Unit Count: 1.0 Count', 'Item Weight: 1.5 pounds', 'Item model number: Dscabomlg-SR', 'Color: Grey&white', 'Special Features: Foldable', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B0CG5SJN86', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 8 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #2,158,889 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,125 in Free Standing Shoe Racks', 'Date First Available: August 21, 2023']",38587d05-ed7c-54eb-acc2-057cec374f51,2024-02-02 18:55:19 +B0C2C9S1R6,https://www.amazon.com/dp/B0C2C9S1R6,"ACCHAR Ergonomic Office Chair, Reclining Mesh Chair, Computer Desk Chair, Swivel Rolling Home Task Chair with Padded Armrests, Adjustable Lumbar Support and Headrest (White)",ACCHAR,$99.00,Only 19 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Chairs', 'Home Office Desk Chairs']",https://m.media-amazon.com/images/I/413qdlao4pL._SS522_.jpg,"['https://m.media-amazon.com/images/I/413qdlao4pL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51K-IPPufZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41MBZcFFv0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ZMqugSFrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51j9GeFKuEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51A27dJvFJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71asYHZOHyL.SS125_SS522_.jpg']",,Fuyi Furniture,W078A-W,"25.5""D x 25.5""W x 41""H","June 14, 2023",China,White,Foam,With arms,[],,"['[Lockable Reclining Function] By pushing the handle up/down, it unlocks/locks the tilting of the back. This office chair feels great by tilting and locking the backrest to any situation you want, and 90-150° is comfy enough for you to work or rest in this mesh office chair for long hours. ', ' [Ergonomic lumbar support] The mesh backrest of this office chair is made of porous material to provide you with a breathable feel. The sturdy backrest frame supports the natural curve of the spine, allowing you to maintain a good sitting posture. The soft lumbar support pillow relieves the pressure on your lower back, and you can adjust it in 4 directions up/down/back/forth to make it more suitable for your lumbar, bringing more ultimate comfort. ', ' [Comfortable seat and padded armrests] The seat of this office chair is made of high quality model foam and fabric. The soft model foam material provides a comfortable sitting experience and it can remain for years without collapsing. The padded armrests allow the arms to get a more comfortable feeling when resting. ', ' [Smooth Movement and Stability] The comfortable office chair can moves easily on 360° swivel casters. It runs smoothly on tile, wood, carpet and other floors. The five-star base is made of sturdy metal and provides great stability. The maximum weight capacity of the chair is 300 lbs. ', ' [Rest Assured to Purchase] The instruction manual and all the hardware needed to install the chair are included in the package. We promise a 2-year warranty for the chair and we have a professional customer service team, so if you have any questions, please feel free to contact us.']",,"['Brand: ACCHAR', 'Color: White', 'Product Dimensions: 25.5""D x 25.5""W x 41""H', 'Back Style: Solid Back', 'Special Feature: Reclining, Adjustable Lumbar, Adjustable Height, Arm Rest, Head Support', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office', 'Style: Modern', 'Pattern: Solid', 'Room Type: Office', 'Included Components: Back, Cushion, Caster, Hardwares, Base', 'Shape: L-Shaped', 'Model Name: W078A', 'Arm Style: With arms', 'Surface Recommendation: Hard Floor', 'Form Factor: Recliner', 'Seat Depth: 19.5 inches', 'Fill Material: Foam', 'Item Weight: 36.4 pounds', 'Manufacturer: Fuyi Furniture', 'ASIN: B0C2C9S1R6', 'Country of Origin: China', 'Item model number: W078A-W', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 58 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #302,681 in Home & Kitchen (See Top 100 in Home & Kitchen) #754 in Home Office Desk Chairs', 'Date First Available: June 14, 2023']",6ef05895-5331-5622-9303-0021258ea3cd,2024-02-02 18:55:19 +B08CB925CT,https://www.amazon.com/dp/B08CB925CT,"ODK Small Computer Desk, 27.5 Inch, Compact Tiny Study Desk with Storage and Monitor Stand for Home Office, Small Spaces, Black",ODK Store,$79.99,In Stock,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Desks']",https://m.media-amazon.com/images/I/41NmfAngKlL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41NmfAngKlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/513Zl8ciOqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/419lvRaLT2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51mi0-lncIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ST3fmXyPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VoAOmkNyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/91uaTOmWfjL.SS125_SS522_.jpg']",,,,"23.6""D x 27.5""W x 32""H",,,Black,Engineered Wood,Modern,[],,"['Small Desk for Small Spaces: With a special modern style, this 27.5 inch desk suits for small spaces in your house. It can be a study table or a computer desk. Its compact construction especially fits in a corner space. ', ' Monitor Shelf & Storage Shelf: This study desk is designed with two shelves. One is monitor shelf, which can hold even two computer monitors that make people have a comfort work position such as looking directly into the screens rather than down, avoiding neck pain. The other is storage shelf below the desktop, which can offer an extra space for storage. ', "" Dual-purpose Desk: This small desk can be a desk for PC or laptop. You can assemble the monitor shelf without four supports and it becomes a normal desk which offers a deeper desktop for laptop.(Apply only to 27.5'' desk) "", ' Premium Material: The tabletop of this small computer desk is made of solid particleboard with high quailty. It is designed with scratch-resistant, anti-collision and waterproof. The thick metal frame with high quality ensures the desk stable and sturdy. ', ' Easy to Assemble & Guarantee: It is very easy to assemble this mini desk by using the hardware, tools and instruction included in the one package. Please feel free to contact us as you find any product problems such as damaged issue. We guarantee that give you a reply for solution within 24 hours.']",,"['Brand: ODK', 'Model Number: USZJZ-1847', 'Age Range (Description): Adult', 'Best Sellers Rank: #44,063 in Home & Kitchen (See Top 100 in Home & Kitchen) #190 in Home Office Desks', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 1,606 ratings \n\n\n 4.7 out of 5 stars', 'Style: Modern', 'Color: Black', 'Room Type: Office, Bedroom, Study Room', 'Shape: Rectangular', 'Desk design: Computer Desk', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'UL Listed: No', 'Recommended Uses For Product: Working, Writing', 'Target Gender: Unisex', 'Finish Type: Steel', 'Furniture Finish: Black', 'Base Material: Alloy Steel', 'Top Material Type: Engineered Wood', 'Product Dimensions: 23.6""D x 27.5""W x 32""H', 'Size: 27.5 inch', 'Item Weight: 17 Pounds', 'Maximum Weight Recommendation: 88 Pounds', 'Special Feature: Compact', 'Mounting Type: Floor Mount']",73032180-9768-5725-bc73-b9e6084cd4f8,2024-02-02 18:55:20 +B09PBH963M,https://www.amazon.com/dp/B09PBH963M,"Front Door Mats by ZULINE,Entry and Back Yard Door Mat,Indoor and Outdoor Safe,Slip Resistant Rubber Backing,Absorbent and Waterproof,Dirt Trapping Rugs for Entryway,29.5 x 17 (Brown-Diamond)",ZULINE,$25.00,Only 1 left in stock - order soon.,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51+qRIvl1FL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51+qRIvl1FL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51duSl1amvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61pQr2lB-WL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wVjwHTw9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Y+erloLBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51BPT9gp7PL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61f8P+iHJQL.SS125_SS522_.jpg']",,ZULINE,,"29.5""L x 17""W","December 28, 2021",,Brown-diamond,Rubber,Outdoor & Indoor,[],"[{'Brand': ' ZULINE '}, {'Size': ' Diamond '}, {'Material': ' Rubber '}, {'Pile Height': ' High Pile '}, {'Construction Type': ' Handmade '}]","[""MULTIFUNCTION:Heavy duty, durable,low profile and non-slip design. It won't blow away even if the wind blows. Surface texture design can effectively remove sole stains. Perfect for indoor outdoor use to keep home, living spaces, lobby, and office floors clean, or outdoor use at your front door, walkway, patio, garage, barn, driveway and many other busy areas. "", ' PREMIUM QUALITY:This rubber doormat is constructed of high-quality natural rubber backing and polypropylene material surface, unique Hot-melt Planting Production Process, which is designed to be durable, strong and flexible. ', ' NON-SLIP AND SAFE:The heavy duty rubber back and edges hold the outdoor mats for front door firmly in place when used to provide cushioning and prevent slipping. ', ' SLEEK&HUMANITY DESIGN:Doormat measures 29.5*17 inches, unique patterns designed doormat suitable for any entryway in your home. 0.2 inches thickness fits perfectly through door gaps without hindering you from opening and closing the door. ', ' EASY TO CLEAN:Simply use a vacuum cleaner, or sweep with a broom, or pat the backing and shake the indoor entrance door mat. For a deeper clean, use a garden hose to rinse the doormat, and fully air dry.']",,"['Brand: ZULINE', 'Size: Diamond', 'Material: Rubber', 'Pile Height: High Pile', 'Construction Type: Handmade', 'Back Material Type: Rubber', 'Color: Brown-diamond', 'Indoor/Outdoor Usage: Indoor', 'Theme: Welcome', 'Is Stain Resistant: Yes', 'Pattern: Geometric', 'Shape: Rectangular', 'Special Feature: Slip Resistant,Waterproof', 'Room Type: Hallway', 'Product Dimensions: 29.5""L x 17""W', 'Rug Form Type: Doormat', 'Style: Outdoor & Indoor', 'Number of Pieces: 1', 'Item Weight: 2.34 pounds', 'Manufacturer: ZULINE', 'ASIN: B09PBH963M', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 7 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #532,652 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #7,985 in Outdoor Doormats', 'Date First Available: December 28, 2021']",f98b74ee-a08e-5b35-ad56-1be03ec21376,2024-02-02 18:55:21 +B0C5BBYRDN,https://www.amazon.com/dp/B0C5BBYRDN,"MyGift Modern Over The Door Towel Rack in Shabby White Washed Solid Wood and 3 Tier Matte Black Metal Bars, Space Saving Bathroom Storage Drying Towels Hanger",MyGift Store,$34.99,Only 16 left in stock - order soon.,"['Home & Kitchen', 'Bath', 'Bathroom Accessories', 'Towel Holders', 'Towel Racks']",https://m.media-amazon.com/images/I/515aoZQHoAL._SS522_.jpg,"['https://m.media-amazon.com/images/I/515aoZQHoAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51-nob0lGkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51jSxVGuOJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/614wycW4frL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41BvWvu1wgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/312tvFjYlhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31BCzRdbZsL._SS522_.jpg']",,MyGift,,"17.8""L x 7.7""W x 22.4""H",,China,Whitewashed Wood & Black Metal,Metal,,[],"[{'Color': ' Whitewashed Wood & Black Metal '}, {'Material': ' Metal '}, {'Product Dimensions': ' 17.8""L x 7.7""W x 22.4""H '}, {'Finish Type': ' Black '}, {'Brand': ' MyGift '}, {'Shape': ' Rectangular '}, {'Item Weight': ' 1.98 Pounds '}]","['3-tiered over-the-door towel rack of matte black metal rods and a whitewashed solid wood frame for functional shabby chic décor **Assembly required** ', ' Towel hanger features 3 tiers of cascading metal bars that allow for proper air flow of fabrics to optimize drying and reduce odors ', ' Utilize doors for extra hanging storage space for bath towels and robes in the bathroom or as a clothing valet in the bedroom ', ' Easy install hang-over-door hooks fit most standard doors up to 1.75 inches in width for instant storage and organization ', ' Approximate Dimensions: Overall - 17.8 L x 7.7 W x 22.4 H; Bottom Bar - 16.1 L x 5.1 W; Middle Bar - 16.1 L x 3.9 W; Top Bar - 16.1 L x 2.8 W (in inches)']",,"['Color: Whitewashed Wood & Black Metal', 'Material: Metal', 'Product Dimensions: 17.8""L x 7.7""W x 22.4""H', 'Finish Type: Black', 'Brand: MyGift', 'Shape: Rectangular', 'Item Weight: 1.98 Pounds', 'Item Weight: 1.98 pounds', 'Manufacturer: MyGift', 'ASIN: B0C5BBYRDN', 'Country of Origin: China', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 2 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #1,372,219 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,154 in Towel Racks', 'Finish types: Black', 'Batteries required: No']",6f10619b-71b9-5e48-ba66-a9969b324b25,2024-02-02 18:55:21 +B0BF8KWBR2,https://www.amazon.com/dp/B0BF8KWBR2,"WEENFON Storage Cabinet with Doors and Shelves, Floor Storage Cabinet with Drawer, Accent Cabinet for Living Room, Hallway, Kitchen, Gray",WEENFON Store,$99.99,In Stock,"['Home & Kitchen', 'Furniture', 'Accent Furniture', 'Storage Cabinets']",https://m.media-amazon.com/images/I/51F9Edov14L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51F9Edov14L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Ty2Sd3iML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/419gs5FkI2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41hts11oSzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51yKrlFlwAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Xc1EaXYrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51MV53M2mnL._SS522_.jpg']",,WEENFON,,"11.8""D x 29.5""W x 31.6""H","December 31, 2022",,Grey,Engineered Wood,Shaker,[],,"[""DECORATE YOUR TIME, IT'S WORTH: Scientific design, greatly improving space utilization. The drawer, doors and opening shelves combination enriches the visual level, which not only effectively blocks dust, but also turns storage into a display art. The floor storage cabinet with shelves which has 3 adjustable heights can bigger and higher things "", ' FIND THE SECRET TO A FRESH LIFE: Pairing door with 3 shelves, this storage cabinet provides display and storage functions for your various items, such as daily necessities, tableware, medicines, etc, these personal effects can place by category. You can sit back relax and know that everything is within your reach ', ' FOLLOW YOUR CHOOSE: This floor storage cabinet is designed for various places - home office, living room, kitchen, entryway, restroom. It can also be used as display shelf or file cabinets ', ' DURABLE MATERIAL: Free standing buffet cabinet made of durable natural particle board which promises a long lifespan. Environmentally friendly lacquered surface ensures no harm and easier to clean ', ' EASY ASSEMBLY: WEENFON separated out the hardware for each step. Each step has its own, clearly numbered, bag of screws/parts, as fun as Lego build ', ' SIZE: 29.5”L*11.8”W*31.6”H, weight: 37.4LBS']",,"['Brand: WEENFON', 'Color: Grey', 'Recommended Uses For Product: Clothes', 'Product Dimensions: 11.8""D x 29.5""W x 31.6""H', 'Special Feature: Adjustable,Durable', 'Mounting Type: Floor Mount', 'Room Type: Kitchen, Bedroom, Living Room, Home Office', 'Door Style: Shaker', 'Weight Limit: 36 Pounds', 'Included Components: Shelves', 'Finish Type: Lacquered', 'Shape: Rectangular', 'Number of Shelves: 3', 'Item Weight: 37.4 Pounds', 'Base Type: Legs', 'Installation Type: Freestanding', 'Top Material Type: Engineered Wood', 'Handle Material: Wood', 'Back Material Type: Engineered Wood', 'Assembly Required: Yes', 'Frame Material: Engineered Wood', 'Number of Compartments: 5', 'Item Weight: 37.4 pounds', 'Manufacturer: WEENFON', 'ASIN: B0BF8KWBR2', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 608 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #29,605 in Home & Kitchen (See Top 100 in Home & Kitchen) #18 in Storage Cabinets', 'Date First Available: December 31, 2022']",b660867d-40c5-563a-b5a8-049edea35f1f,2024-02-02 18:55:22 +B0BRFX55TJ,https://www.amazon.com/dp/B0BRFX55TJ,"SOOWERY End Tables with Charging Station, Set of 2 Side Tables with USB Ports and Outlets, Nightstands with Storage Shelf for Living Room, Bedroom, Brown",SOOWERY Store,$79.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41x2Yzpw5aL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41x2Yzpw5aL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51iSzW4QCOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41uUPceN8wL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qJWOLlgtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51xUM6glvmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51mi8D-q3XL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51SrEsc-JEL._SS522_.jpg']",,,,"11.8""D x 15.8""W x 21.8""H",,,Brown,Iron,Retro,[],,"['Side Tables with Charging Stations: Low battery? Charge your devices with these side tables featuring two AC outlets, two USB ports, and a 6.5 ft cord each. Keeps you away from wall corner where the home power outlet located. ', ' Well-Considered Design: The power panels is designed on the vertical side instead of tabletop, keeping it away from water cups on the desktop, helps to keep your table top tidy. And allow easy access to the outlets. ', ' Curved Design of Desktop: With a curved design, the table looks simple and stylish, and will not hurt people because of the sharp corners of the table. And the power strip can face any direction, depending on which side you want it to face. ', ' Fit Tight Spaces: Sized at 11.8”D x 15.8”W x 21.8”H, these slim end tables perfectly fit the small spaces between two upholstered rockers or beside the bed. ', ' Easy to Assemble: Numbered parts and easy-to-follow instructions will help you finish the assembly of these handy side tables quickly and effortlessly. ', "" What to do if some accessories are missing: Before assembling this nightstands set of 2, please check if all the accessories are included in the package, if some accessories are missing, please contact us first and we will send you the parts for replacement at free, you don't have to take it apart and return it.""]",,"['Brand: SOOWERY', 'Shape: Rectangular', 'Room Type: Living Room', 'Color: Brown', 'Furniture Finish: Wood', 'Age Range (Description): Adult', 'Target Gender: Unisex', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 292 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #238,939 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,000 in End Tables', 'Special Feature: with charging station set of 2', 'Is Foldable: No', 'Base Type: Leg', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 11.8""D x 15.8""W x 21.8""H', 'Item Width: 15.8 inches', 'Item Weight: 15.4 Pounds', 'Maximum Weight Recommendation: 50 Pounds', 'Min. Required Door Width: 12 Inches', 'Frame Material: Iron', 'Is Stain Resistant: No', 'Style: Retro', 'Table design: End Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly']",285883ae-96db-58ea-946d-806950a7537d,2024-02-02 18:55:23 +B0CJR8KM2D,https://www.amazon.com/dp/B0CJR8KM2D,"Bednowitz Twin Box Spring，5 Inch Low Profile Metal Boxspring with Non-Slip Fabric Bed Cover, Sturdy Heavy Duty Steel Structure Bed Base, Noise-Free Mattress Foundation, Easy Assembly，Black",Bednowitz Store,$99.49,In Stock,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Mattresses & Box Springs', 'Box Springs']",https://m.media-amazon.com/images/I/51rTEhx3EAL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51rTEhx3EAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51GxU4sIgSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41yQvdbb+rL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51MvsFAEVAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51jN4UYYDuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51aFJMn65BL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/B1mse3AAAML.SS125_SS522_.png']",,,"5"" Twin BoxSpring",75 x 38 x 5 inches,"September 25, 2023",China,,,,[],[],"['【Twin Box Spring Only】The 5 inch low profile twin box spring is designed as a standalone piece, providing the perfect foundation for your mattress. Whether you have a memory foam, latex, or hybrid mattress, the Bednowitz twin size box spring is compatible with all types, ensuring a comfortable and restful sleep experience. ', "" 【Sturdy & Stability】Crafted with high-quality materials, this twin bed box spring offers exceptional durability and stability, ensuring long-lasting support for your mattress and a solid foundation for a peaceful night's sleep. "", ' 【Non-Slip Fabric Bed Cover】The box spring twin bed comes with a non-slip fabric cover that prevents your mattress from shifting or sliding, also easy to disassemble and clean. ', ' 【Quiet & Noiseless】Say goodbye to squeaky and noisy nights with the bednowitz box spring. The carefully engineered construction minimizes any unwanted noise, allowing you to sleep undisturbed and peacefully. ', ' 【Quick & Easy Assembly】Setting up your bed has never been easier. With its simple and straightforward assembly process, you can have your metal box spring ready to use in no time. The package contains all the parts, instructions and assembly tools.']",,"['Item Weight: 19.58 pounds', 'Product Dimensions: 75 x 38 x 5 inches', 'Country of Origin: China', 'Item model number: 5"" Twin BoxSpring', 'Assembled Height: 5 inches', 'Assembled Width: 38 inches', 'Assembled Length: 75 inches', 'Weight: 19.58 Pounds', 'ASIN: B0CJR8KM2D', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 14 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #163,649 in Home & Kitchen (See Top 100 in Home & Kitchen) #55 in Box Springs', 'Date First Available: September 25, 2023']",e8709001-70a8-5b14-adc7-fd8fadf0ae78,2024-02-02 18:55:24 +B0BJZPV117,https://www.amazon.com/dp/B0BJZPV117,BOKKOLIK Industrial Bar Stools (Set of 2) Counter Height Adjustable 24-27.5inch Vintage Kitchen Island Stool Farmhouse Office Guest Chair Swivel Wooden Seat,BOKKOLIK Store,$95.20,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture']",https://m.media-amazon.com/images/I/41r1PM96rVL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41r1PM96rVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51BbVejdJRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41vy3CXwjHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41upmkeZJxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Xc9QM85SL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41--War1GvL._SS522_.jpg']",,TOUPAI TRADE LTD,FS-12H BLACK,"13.5""D x 13.5""W x 28""H","June 9, 2022",,,,industrial/retro/rustic/vintage/farmhouse/chic,[],,"['Height Aajustable. The bar stool can be twist from COUNTER HEIGHT(24inch) to BAR HEIGHT(27.5inch), which meet your many needs. It can match your kitchen island/counter/bar or workbench. Use the knob to lock after you adjust the height. ', ' Design. 360 degree swivel wood seat, by which you can have a talk with your friends with your friends easily; Knob under seat to lock the height; Ring design footrest provides better support for legs and reducing pressure; ', ' Dimension. Chair height: 62-77cm/24.4-30.3inch(We suggest 27.5inch as Safe Max Height） ', ' Chair Width: 34.5cm/13.6inch ', ' Diameter of seat: 35cm/13.8inch ', ' Thickness of seat 3cm/1.2inch ', ' Max Capacity: 150kg/330LBS ', ' Style. Brown and black are the perfect blend for industrial-chic style to flourish. Plus, the planked look on the seat adds even more urban oomph to your decor. Your guest will give compliment to the stool when you add to your room. ', ' Perfect Quality. Upholstered Solid Wood + Constructed iron, very comfortable and sturdy. Powder coating craft protect bar stool from rust.']","Characterized by art work high-quality wooden seat and Dark Metal Pipe. Easily matches various decoration style home, farmhouse or bar; It applies sturdy and thick steel as frame, solid wood as seat top, quite sturdy and comfortable. Seat can be rotated 360 degrees, with footrest function to relaxing your feet, provides a comfortable environment for guests. Height Adjustable from 24 inch to 30 inch, to meet no matter counter height, kitchen island height You can sit on it to enjoy meals or drink at bar; Besides, it can provide extra seating for guests in holiday gathering, party etc. Specification: Material: wood+ Iron frame; Color: Brown+ Matte Black; Chair Height: 62-77cm/24.4-30.3inch; Seat Dia: 35cm/13.8inch; Seat Thickness: 3cm/1.2inch; Max Capacity: 150kg/330lbs; Package List: 2 Set Bar Stools|1*Hardware Bag|1*Instruction; DESIGN: 360 degree swivel Swivel Solid Wooden Seat Ring design footrest Adjustable foot plug Fully-Weld, easy to install and sturdy Occasion: Home/Kitchen/Dining Room/Living Room/Patio/Sun Room/Coffee House/Restaurant/Office/Meeting room /Pub Style Industrial, Vintage, Rustic, Antique, Chic, Steampunk, Farmhouse","['Product Dimensions: 13.5""D x 13.5""W x 28""H', 'Brand: BOKKOLIK', 'Size: L 24-28INCH', 'Style: industrial/retro/rustic/vintage/farmhouse/chic', 'Furniture Finish: Metal', 'Maximum Weight Recommendation: 330 Pounds', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 30.8 pounds', 'Manufacturer: TOUPAI TRADE LTD', 'ASIN: B0BJZPV117', 'Item model number: FS-12H BLACK', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 118 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #297,243 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,599 in Game & Recreation Room Furniture', 'Date First Available: June 9, 2022']",2662d66b-536d-5893-af62-d284a61e86ed,2024-02-02 18:55:24 +B0B31G7LBC,https://www.amazon.com/dp/B0B31G7LBC,"HOOBRO Over The Toilet Storage Cabinet, Mass-Storage Over Toilet Bathroom Organizer with Louver Door, X-Shaped Metal Frame, Space-Saving Toilet Rack, Easy Assembly, Rustic Brown BF431TS01",HOOBRO Store,$86.99,In Stock,"['Home & Kitchen', 'Furniture', 'Bathroom Furniture', 'Over-the-Toilet Storage']",https://m.media-amazon.com/images/I/41i8ryTI4hL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41i8ryTI4hL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51yQYnUBSoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41UUOVomX1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Xxsj0W5OL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51YYMYogYiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51c2SQ92QrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51d2Ls-yq1L._SS522_.jpg']",,HOOBRO,,"9.4""D x 23.6""W x 65.7""H","February 21, 2023",China,Rustic Brown,"Engineered Wood, Metal",louver,[],,"[""Bathroom Organizer Helper: This over the toilet storage is 23.6'' L x 9.4'' W x 65.7'' H in size, extending vertical storage space. Without crowded washbasin, a tidy one comes to your eyes because this toilet shelf changes your bathroom, even your life completely! "", ' Openness and Privacy: The open shelf below is an easy access to your towels, skin care products, shampoos and roll paper. The nice-looking magnetic door and the detachable shelf make this over the toilet storage cabinet become a hidden private storage of your secrets and maximize utilization spot for items in different sizes ', ' Reliable Structure: The stability of this over toilet bathroom organizer is remarkable. To enhance the shelf’s solidarity, premium P2 particleboard and metal frame is a must while X-shaped metal support and bottom cross bar is a plus ', ' Industrial Vibe: Unblemished lines, simple brown panels and black metal frame create elegant vibe for your bathroom, washroom, applicable to most toilets or laundry baskets ', "" Quick to Assemble: Easy-to-follow instructions and required tools are included in the package. You don't have to spend a single afternoon. That's no sweat at all!""]",,"['Brand: HOOBRO', 'Color: Rustic Brown', 'Product Dimensions: 9.4""D x 23.6""W x 65.7""H', 'Special Feature: Premium', 'Mounting Type: Floor Mount', 'Room Type: Laundry Room, Bathroom', 'Door Style: louver', 'Weight Limit: 15 Kilograms', 'Included Components: Shelves', 'Finish Type: Polished', ""Size: 23.6'' L x 9.4'' W x 65.7'' H"", 'Shape: Rectangular', 'Number of Shelves: 4', 'Number of Pieces: 1', 'Item Weight: 14.2 Kilograms', 'Base Type: Cross', 'Installation Type: Freestanding', 'Back Material Type: Engineered Wood', 'Assembly Required: Yes', 'Frame Material: Engineered Wood, Metal', 'Item Weight: 31.2 pounds', 'Manufacturer: HOOBRO', 'ASIN: B0B31G7LBC', 'Country of Origin: China', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 82 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #710,225 in Home & Kitchen (See Top 100 in Home & Kitchen) #361 in Over-the-Toilet Storage', 'Date First Available: February 21, 2023']",72fa80c8-f396-5c31-9466-9fda1e540a84,2024-02-02 18:55:25 +B0B97PJ94P,https://www.amazon.com/dp/B0B97PJ94P,"Hanover Swivel Counter Height Bar Stool, White and Gray",Alaterre Furniture Store,,Only 1 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/31039iD-MpL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31039iD-MpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qW89vzjbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31a3YMQQUiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31a3YMQQUiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/318G5mZ7iAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31u9bz+VdkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31yoxF1t2gL._SS522_.jpg']",,,ANHN01PDC,"22""D x 20""W x 37""H","August 5, 2022",Vietnam,White and Gray,,Classic,[],,"['Overall dimensions: 20"" W x 22"" D x 37"" H; seat height: 26 in. ', ' Seat dimensions: 20""W x 20""D x 26""H ', ' Seat back dimensions: 19 3/4""W x 9 3/4""H ', ' Steel memory return swivel ', ' Constructed of solid rubberwood']","Add a stylish focal point to your dining area with this counter height bar stool. The sturdy rubberwood frame is complemented by faux leather upholstered seat and back with nail head trim detail. The seats are foam padded, and chair backs are curved to encourage hours of comfortable seating. This bar stool features a steel memory return-swivel mechanism, bringing your stool to its original position after removing static weight. These stools can be easily coordinated with the existing decor in your kitchen, dining room, breakfast nook, or bar area.","['Product Dimensions: 22""D x 20""W x 37""H', 'Color: White and Gray', 'Brand: Alaterre Furniture', 'Size: Single Counter Height Bar Stool', 'Style: Classic', 'Furniture Finish: Rubberwood', 'Maximum Weight Recommendation: 300 Pounds', 'Product Care Instructions: Wipe with Dry Cloth', 'Assembly Required: Yes', 'Number of Pieces: 1', 'Item Weight: 24.7 pounds', 'Country of Origin: Vietnam', 'Item model number: ANHN01PDC', 'ASIN: B0B97PJ94P', 'Customer Reviews: 3.5 3.5 out of 5 stars \n 2 ratings \n\n\n 3.5 out of 5 stars', 'Best Sellers Rank: #1,468,634 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,239 in Barstools', 'Date First Available: August 5, 2022']",372f9549-de5b-5857-b138-67c86537b1b8,2024-02-02 18:55:26 +B09MS5RJTT,https://www.amazon.com/dp/B09MS5RJTT,"VECELO Modern Industrial Style 3-Piece Dining Room Kitchen Table and Pu Cushion Chair Sets for Small Space, 2, Retro Brown",VECELO Store,,Only 2 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Table & Chair Sets']",https://m.media-amazon.com/images/I/41rj5r2UFSL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41rj5r2UFSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51LKilxWp7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512oQFUiXCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51O0FRMBi5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51r5JucSK7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41jaVerc-KL.SS125_SS522_.jpg']",,,KHD-XJM-TC06-BC03,29 x 29 x 30 inches,"November 30, 2021",China,,,,[],,"['【Industrial Style】This modern 3-piece dining table and chair set combine a durable MDF board with heavy-duty steel frame, used as a dining table set, breakfast nook table, homework table for any kitchen, dining room, restaurant, or living room. The industrial look complements well with any of your home furniture. ', ' 【High-Quality Dining Table and Chairs】 Vecelo Dining table set with chairs is crafted of friendly MDF board with heavy-duty steel frame, features waterproof and scratch resistance, and easy cleanup. Moreover, the tabletop with a thickness of 3cm\xa0for long-lasting use. Table Size: 29""L x 29""W x 30""H; Chair size : 16""L x 15\'\'W x 36""H. ', ' 【Comfortable Sitting Experience】Chairs are designed with a curved backrest and thick leather seat pads to promote comfort, completely relax your body during and after meals. Perfect for family meals or gatherings in your kitchen or dining area. Supporting up to 300lbs weight. ', ' 【Versatile Use】 Perfect for small kitchen, dining room area, and living room. It allows you to carry out various activities with your friends, such as eating and any entertainment activities. Chairs slide under the table to save space, creating a tidy atmosphere. ', ' 【Easy to Assemble & Clean】 All required accessories and tools are included. You can quickly assemble the dining table set. The smooth tabletop and bar stools surfaces are easily wiped off. ', ' 【Worry-Free Warranty】2 year limited warranty guarantee and 100% service satisfaction, If you have any questions about the functional kitchen table set, please feel free to contact us, we will give you a satisfactory solution.']","VECELO Dining Table Set: Modern Industrial Style 3-Piece Dining Table Set 2 Chairs with Metal Legs for Kitchen, Dinette, Breakfast Nook Why Choosing VECELO Dining Table for 2? Cost Effective Reliable structure Space-saving Table and Chair Set Easy Clean-up Easy Assembly Friendly Customer-Service Specifications: Color:Brown Dimension:Table:29""Lx29""Wx30""H; Chair:16""Lx15''Wx 36""H Seating Capacity: 2 Material: Metal+PU/MDF Package Includes: 1 x Dining Table 2 x Chairs 1 x Instruction 1 x Accessory Bag Tips:  Please read the instruction carefully before assembly Ensure all parts and screws are firmly attached before use","['Item Weight: 38 pounds', 'Product Dimensions: 29 x 29 x 30 inches', 'Country of Origin: China', 'Item model number: KHD-XJM-TC06-BC03', 'ASIN: B09MS5RJTT', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 19 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #1,665,943 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,837 in Kitchen & Dining Room Sets', 'Date First Available: November 30, 2021']",950be137-d751-5d57-a37d-d6741f2c94a0,2024-02-02 18:55:27 +B0BZCMCJDY,https://www.amazon.com/dp/B0BZCMCJDY,"Tenkovic Metal Coat Rack Stand with Quartz Base, Coat Rack Freestanding with 8 Wooden Hooks, Easy to Assemble and Sturdy, Coat Rack Bionic Hall Tree for Home Entry-way Hat Hanger Organizer (Gold)",Tenkovic,,,"['Home & Kitchen', 'Furniture', 'Entryway Furniture', 'Coat Racks']",https://m.media-amazon.com/images/I/31N5mQxbhBL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31N5mQxbhBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/415RmmUrLVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51env5dzeZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41v40OimUPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41imN9CIuVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41bvwcxhF3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Q+JqkT30L._SS522_.jpg']",,Tenkovic,TG001,"13.39""D x 13.39""W x 70""H","March 23, 2023",,tree gold,"Metal, Wood",,[],"[{'Brand': ' Tenkovic '}, {'Color': ' tree gold '}, {'Material': ' Wood, Alloy Steel, Metal, Marble '}, {'Recommended Uses For Product': ' Coats '}, {'Product Dimensions': ' 13.39""D x 13.39""W x 70""H '}]","['【FASHION & SIMPLE DESIGN 】➤Our product designers have many years of European and American style coat rack design experience. It’s uses metal rod, wooden hooks and quartz base. Especially the 8 wooden hooks point, which is the biggest design highlight, Bring nature indoors with this tree-inspired look, Multi-angle direction design, far distance between hanging points, which can make full use of the small space and hang more items. ', ' 【EASY TO ASSEMBLE 】➤The interface of coat rack stand is designed with double threads, Between thread and thread, as long as the direction is aligned, it can be easily rotated and installed; A wrench for mounting screws is also provided for easy installation, but also ensure long-term use. ', ' 【MULTIPLE OCCASIONS】➤ This hanger can be placed on the front door, porch, hallway, living room, bedroom or anywhere else you need more organization. Eight hanging points design can hang more clothes, jackets, hats, scarves, umbrellas. ', ' 【STABLE & STURDY】➤This coat tree base is made of quartz stone, the base measures13.5 inches in diameter,Our chassis has the largest weight and diameter in its class，which is enough to support about 150 pounds of weight,supporting the clothes to hang firmly without shaking.The wall thickness is more than 1mm,adopt Painting and baking process, make a elegant appearance and a delicate touch. ', "" 【CUSTOMER GUARANTEE】➤ If for any reason you're not completely happy with your purchase, please contact Tenkovic customer service. We will attempt to resolve any issues and ensure your satisfaction.""]",,"['Brand: Tenkovic', 'Color: tree gold', 'Material: Wood, Alloy Steel, Metal, Marble', 'Recommended Uses For Product: Coats', 'Product Dimensions: 13.39""D x 13.39""W x 70""H', 'Installation Type: Free Standing', 'Special Feature: Heavy Duty', 'Furniture Finish: Gold', 'Frame Material: Metal, Wood', 'Assembly Required: Yes', 'Maximum Weight Recommendation: 100 Pounds', 'Manufacturer: Tenkovic', 'Item Weight: 14.02 pounds', 'Item model number: TG001', 'Special Features: Heavy Duty', 'Included Components: Marble Base, Rack Body, Installation Tool, 8 wooden hooks, Rack Accessories', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B0BZCMCJDY', 'Customer Reviews: 3.0 3.0 out of 5 stars \n 1 rating \n\n\n 3.0 out of 5 stars', 'Best Sellers Rank: #3,656,996 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,407 in Coat Racks', 'Date First Available: March 23, 2023']",1082a97d-f659-596a-98ab-1c8cb1ac0c24,2024-02-02 18:55:27 +B0CP7YFXD2,https://www.amazon.com/dp/B0CP7YFXD2,"FANYE Oversized 6 Seaters Modular Storage Sectional Sofa Couch for Home Apartment Office Living Room,Free Combination L/U Shaped Corduroy Upholstered Deep Seat Furniture Convertible Sleeper Sofabed",FANYE,,Usually ships within 3 to 5 days,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Living Room Sets']",https://m.media-amazon.com/images/I/41MTr4ynO3L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41MTr4ynO3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41R0SjyaI+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41z6XlThH+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mL8o-9ysL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31xVDA2yCML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/218LL699AXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/81knqzv9MEL.SS125_SS522_.jpg']",645656903079,FANYE,Home Apartment Office Living Room,"56.7""D x 112.6""W x 37""H","November 30, 2023",,Navy Blue,Wood,Track,[],,"['Corduroy ', ' Modular Design for Growing Families: Allows for versatility and flexibility, Effortless to disassemble and transport with extra large sectional sofa. Easily combined into L- shaped sofa or sleeper sectional sofa. ', ' Ample Storage Space: Each seat is equipped with convenient storage space beneath, allowing you to keep books, toys, blankets or out-of-season things ensuring they are within easy reach whenever you need them. ', ' Comfort and Deep Seating: Each seat cushion of the modular sectional sofa is filled with high resilience foam that gives good support for your body. Relax in ultimate comfort with 36D cushions, cozy corduroy velvet fabric and generous 25.2"" seat depth, caters to various body types, allowing you to lounge back, curl up, or put your feet up for even greater relaxation. ', ' Sturdy Structure and Durability: Frames are constructed using solid wood + plywood and double-fortified steel locks for lasting strength and stability. With weight capacity of 300 lbs per seat. You can rest, relax, and even jump on the sofa set with peace of mind. ', ' Easy to assemble:The dimension of modular sectional sleeper sofa is: 112.6\'\'(L)*56.7\'\'(W)""*37""(H) .Easy to install, no tools required,very easy to follow instructions to assemble. The sofa is moved individually so they are great to navigate tricky hallways or tight doorways. The modular sectional couch comes in 6 separated boxes that sometimes may arrive in different days.']","️ Product Type: Modular sofa ️ Overall dimensions (Inches): (Width)112.6 * (Depth)56.7 * (Height)37.00 ️ ️ Detail Dimension--- ️ Seat depth: (Inches) : 25.2 ️ Seat Height - Floor to Seat (Inches):19.7 ️ Leg Height (Inches):3.9 ️ ️ Specifications--- ️ Cover Material: Corduroy Velvet ️ Filling: Independent spring pack ️ Frame type: Solid Wood + Plywood ️ Leg type: Plastic ️ Weight Capacity : 300 lbs ( per seat) ️ Assembly Required : About 40 Minutes ️ Product Warranty : 1 Year ️ Available in 2 colors： Dark Gray / Navy Blue ️ Four models available: 5/6/7/9 Seats ️ ️ Package Number: 6 ; (2+2+2) ️ Package A: 25.59 * 25.59 * 16.34 in. 36.6 lbs..; A*2 ️ Package B: 27.95 * 25.59 * 16.34 in. 45.64 lbs.; B*2 ️ Package C: 27.95 * 25.59 * 21.85 in. 56 lbs..; C*2 ️ ️ Notes--- ️ Manual measurement has been used, there may be some reasonable error ️ All the pictures are taken by actual samples, slight chromatic aberration may occur due to lighting or display.","['Brand: FANYE', 'Manufacturer: FANYE', 'ASIN: B0CP7YFXD2', 'Item model number: Home Apartment Office Living Room', 'UPC: 645656903079', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 3 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #732,975 in Home & Kitchen (See Top 100 in Home & Kitchen) #317 in Living Room Furniture Sets', 'Date First Available: November 30, 2023', 'Age Range (Description): Adult', 'Included Components: 6 Seats Modular Storage Sectional Sofa Set', 'Assembly required: Yes', 'Assembly Instructions: Require Assembly', 'Special Feature: Storage', 'Product Dimensions: 56.7""D x 112.6""W x 37""H', 'Item Weight: 36.6 Pounds', 'Item Package Quantity: 1', 'Material:
    ️ Upholstery Material : Loop Yarn Fabric
    ️ Frame: Eucalyptus wood+Plywood
    ️ Seat Fill:Foam 1.6 lbs./cu. ft.
    ️ Legs: Plastic 1inch
    ️ Seat Construction : Pocket Spring+Sponge, Corduroy', 'Upholstery Fabric Type: Velvet', 'Frame Material: Wood', 'Care instructions: Wipe with Damp Cloth', 'Type: Sectional', 'Color: Navy Blue', 'Pattern: Solid', 'Style: 6 Seaters Modular Storage', 'Room Type: Living Room', 'Shape: Semicircular', 'Arm Style: Track']",37323128-75a9-578b-9378-79653bfd5b52,2024-02-02 18:55:28 +B0BY23W1J9,https://www.amazon.com/dp/B0BY23W1J9,"HOMSHO 2-Tier Storage Bench,Shoe Bench with Padded Seat Cushion, Entryway Bench with 2 Barn Doors,Adjustable Shelf, 27.6"" L x 13.8"" W x 17.7"" H, for Entryway, Living Room, Bedroom,White",HOMSHO,$79.99,In Stock,"['Home & Kitchen', 'Furniture', 'Entryway Furniture', 'Storage Benches']",https://m.media-amazon.com/images/I/41Sq7pT7XML._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Sq7pT7XML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/514sfpURbnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/315OEqVy0vL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41E+TD9fbKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wQnhh5xpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Xc4SxDXxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61GgTmZJhtL._SS522_.jpg']",,HOMSHO,H31,"13.7""D x 27.5""W x 17.7""H","March 10, 2023",China,White,,,[],,"['More Comfortable Shoe Change Cabinet: With a 25mm sponge cushion on the bench top, you can change shoes by sitting on the bench more comfortable without bending down or squatting. ', ' Keep Your Shoes Organized: The depth of bench is 13.4 inches, which makes it easily to put in your shoes, meanwhile shoes of various heights can be placed by adjusting middle movable boards. The bench doors design ensures not only your privacy, but also a tidy space. ', ' Match Your Room Style: Classic barn-door design is quite suitable for different home decoration styles. You can put it at various places in your home such as entrance, corridor, bedrooms, etc. ', ' Stable & Durable: Made of EPA-Certified board, the product is stable and durable with a static load of up to 300 lbs. The zipper design of cushion can help you remove and clean cover easily. What are you hesitating about? Now preparing a shoe bench for your home. ', ' Easy Installation: You will finish assembly easily in a short time with detailed installation diagram and numbered parts.']",,"['Product Dimensions: 13.7""D x 27.5""W x 17.7""H', 'Color: White', 'Size: 27.6""L x 13.8""W x 17.7""H', 'Furniture Finish: White', 'Seat Height: 13.4 Inches', 'Brand: HOMSHO', 'Product Care Instructions: Wipe with Dry Cloth', 'Maximum Weight Recommendation: 300 Pounds', 'Seating Capacity: 2', 'Item Weight: 28 pounds', 'Manufacturer: HOMSHO', 'ASIN: B0BY23W1J9', 'Country of Origin: China', 'Item model number: H31', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 126 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #50,750 in Home & Kitchen (See Top 100 in Home & Kitchen) #31 in Storage Benches', 'Date First Available: March 10, 2023']",6497a267-8b47-5f13-bf20-34ef1511185b,2024-02-02 18:55:29 +B0CCCS3RB9,https://www.amazon.com/dp/B0CCCS3RB9,"Realhotan 18 Inch Twin Bed Frame 3500 Pounds Heavy Duty Non-Slip Metal Slats Platform Mattress Foundation, No Box Spring Needed,Easy Assembly,Noise-Free,Black",Realhotan,$56.89,,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Beds, Frames & Bases', 'Bed Frames']",https://m.media-amazon.com/images/I/51+pTJO13KL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51+pTJO13KL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51t73afsXwL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51b-wlL5FiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51bjmeUYljL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51kYm3FMnPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51O7xuTzU3L._SS522_.jpg']",,Realhotan,REAL-BK-18,"74.5""L x 37.5""W x 18""H","July 20, 2023",China,Black,,,[],,"['【Toe Protectors】 The bed frame include toe bumpers to stop bumping your toes on the bottom of the bed! Bring a warm and safe feel to your home. ', ' 【Noise free】 Twin metal bed frames use reinforced structure that can bear heavy weights with no noise or no squeaking. You can sleep soundly and wake up energized. ', ' 【Underbed Storage Space】18 inch Ample storage space under the twin size bed frames to store all your essentials without cluttering the room. ', "" 【No Box Spring Needed】 Durable steel slats is hold up to 3500 lbs,just put your mattress on the twin platform bed frame and you're good to go! "", ' 【Easy assembly】 The twin bed frame comes with all the necessary parts, Please follow the instructions in the manual and put together your twin bed frame.']",,"['Size: Twin', 'Product Dimensions: 74.5""L x 37.5""W x 18""H', 'Special Feature: No Box Spring Needed, Squeak Resistant', 'Color: Black', 'Finish Type: Powder Coated', 'Included Components: Bed frame, Instruction Manual, Screws,Tool', 'Compatible With Mattress Size: Twin, 75 × 38 inches', 'Brand: Realhotan', 'Furniture Finish: Metal', 'Assembly Required: Yes', 'Ground To Item Distance: 18 Inches', 'Item Weight: 25 pounds', 'Manufacturer: Realhotan', 'ASIN: B0CCCS3RB9', 'Country of Origin: China', 'Item model number: REAL-BK-18', 'Customer Reviews: 4.9 4.9 out of 5 stars \n 21 ratings \n\n\n 4.9 out of 5 stars', 'Best Sellers Rank: #431,991 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,834 in Bed Frames', 'Date First Available: July 20, 2023']",19cd42db-c797-5003-8f8e-239d885094d1,2024-02-02 18:55:29 +B00JMTNK0W,https://www.amazon.com/dp/B00JMTNK0W,"Kwikset BTBNC1C Pfister Bath Hardware, 18"", Polished Chrome",Pfister Store,,Only 9 left in stock - order soon.,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/31A+awsgcPL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31A+awsgcPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31TCyj6Mw4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/510jaEecaQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41XG+3OFb1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Mamj9rPfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31S5lR0E4UL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71OipnmFRKL.SS125_SS522_.jpg']",,Kwikset,BTBNC1C,"22.9""L x 8.4""W x 2""H","April 12, 2014",China,Polished Chrome,Zinc,Contemporary,[],"[{'Color': ' Polished Chrome '}, {'Material': ' Zinc '}, {'Product Dimensions': ' 22.9""L x 8.4""W x 2""H '}, {'Finish Type': ' Polished '}, {'Brand': ' Kwikset '}, {'Installation Type': ' Screw-In '}, {'Shape': ' Straight '}, {'Item Weight': ' 1.6 Ounces '}]","['Concealed screw installation ', ' Superior mounting posts for secure installation ', ' Premium metal construction for durability ', ' 4-Hole installation ', ' Tested to 30 lbs. for 30 minutes']","If sleek and sophisticated are what you are looking for, the Pfister Contempra family is the perfect solution. This collection of bath fixtures incorporates clean, contemporary lines for a modern presence. Items of this collection include single handle bathroom faucets, 8 inch widespread bath sink faucets, vessel faucets, tub and shower faucets complete with shower diverter, roman tub trims and bathtub faucets, and bath tub spouts as well as a matching bathroom accessories and bath hardware. The assortment of bath accessories includes towel bars, towel rings, robe hooks and towel hooks, and tissue holders. All are available in Polished Chrome, Brushed Nickel, and Brushed Gold, and Matte Black. The faucets in this collection are deck mounted, but if you are looking for wall mount bathroom faucet options, the Pfister Kenzo collection contains an assortment of bathroom sink faucets and bathroom tub faucets in closed spout and waterfall faucet configurations. These wall mount tub faucets create a contemporary presence in any space with their angular forms. And, if you are looking for a tub faucet with hand shower, you will find this in the expansive Kenzo collection. For a unified look throughout your home, try pairing the Contempra bath collection with Pfister’s Stellen pull-down kitchen faucets that also have a modern, sleek profile.","['Color: Polished Chrome', 'Material: Zinc', 'Product Dimensions: 22.9""L x 8.4""W x 2""H', 'Finish Type: Polished', 'Brand: Kwikset', 'Installation Type: Screw-In', 'Shape: Straight', 'Item Weight: 1.6 Ounces', 'Manufacturer: Kwikset', 'Part Number: BTB-NC1C', 'Item Weight: 1.6 ounces', 'Country of Origin: China', 'Item model number: BTBNC1C', 'Size: 18 Inch', 'Style: Contemporary', 'Finish: Polished', 'Item Package Quantity: 1', 'Maximum Weight Capacity: 30 Pounds', 'Number Of Holes: 4', 'Mounting Type: Wall', 'Usage: Inside', 'Included Components: Product Only', 'Batteries Required?: No', 'ASIN: B00JMTNK0W', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 15 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #897,295 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #3,306 in Bath Towel Bars', 'Date First Available: April 12, 2014']",02f63b41-dc12-583b-9575-0526ada8642f,2024-02-02 18:55:30 +B0CJNJMY5H,https://www.amazon.com/dp/B0CJNJMY5H,"MAHANCRIS End Table Set of 2, Side Table with 3-Tier Storage Shelf, Slim Nightstands, Small Bedside Table, Sofa Table for Small Space, Sturdy and Stable, Living Room, Bed Room, Rustic Brown ETHR8501S2",MAHANCRIS Store,$39.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41wsItqcjUL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41wsItqcjUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41bpb3UkX5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41l7SM08TUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41+0VpPZRLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mr9+l10DL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41FdTT5hu1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VUgWXF7NL._SS522_.jpg']",,,,"11.8""D x 14.9""W x 23.6""H",,,Rustic Brown + Black,Engineered Wood,Straight Leg,[],,"['3 -Tier Large Storage Space: The side table is 15""L x 11.8""W x 23.6""H with different spacing for each shelf to help you reasonably distribute your storage items. It can be disassembled into 3 small side tables or stacked to meet your different needs ', ' Excellent Weight Capacity: This narrow side table is made of premium particleboard, so each tier can bear up to 66 lb, sturdy and durable. The bottom is equipped with 4 adjustable feet to keep the table stable without scratching the floor ', ' Minimalist Style: This nightstand adopts rustic colors with a simple shape, creating a very industrial atmosphere for the bedroom and living room. If you admire the combination of modern and vintage style, then it must be your perfect choice ', ' Multi-Purpose Use: This 3-tier side table can not only be used as a sofa table but also as a bedside table, coffee table, snack table, beverage table, etc., keeping the items you want within reach and bringing you more convenience ', ' Quick Assembly: This modern side table comes with clear assembly instructions, numbered accessories, and necessary tools to make it easy for you to assemble it in no time, giving you a perfect nightstand in no time!']",,"['Brand: MAHANCRIS', 'Shape: Rectangular', 'Room Type: Bedroom, Living Room, Home Office, Study Room, Hallway', 'Included Components: 2 x End Tables, 1 x Instructions, 1 x Accessory Kit', 'Color: Rustic Brown + Black', 'Model Name: End Table', 'Model Number: 999ETHR8501S2 End Table', 'Age Range (Description): Adult', 'Target Gender: Unisex', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 8 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #311,453 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,287 in End Tables', 'Special Feature: Storage, Easy Assembly, Adjustable Angle', 'Base Type: Leg', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 11.8""D x 14.9""W x 23.6""H', 'Item Width: 14.9 inches', 'Size: 15""L x 11.8""W x 23.6""', 'Number of Items: 2', 'Unit Count: 2.0 Count', 'Frame Material: Engineered Wood, Metal', 'Top Material Type: Engineered Wood', 'Product Care Instructions: Wipe with Cloth', 'Style: Rustic', 'Table design: End Table', 'Leg Style: Straight Leg', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly']",375ecb7f-d889-5bcb-9a53-d279b8e7e2c8,2024-02-02 18:55:31 +B0882HQRJX,https://www.amazon.com/dp/B0882HQRJX,"Moen MY3786CH Idora Single Post Bathroom Hand -Towel Ring, Chrome",Moen Store,,In Stock,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Rings']",https://m.media-amazon.com/images/I/41LVA3TodyL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41LVA3TodyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Xfs5I6EYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41bQzEppW6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31wye-H1tGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41hO8Ls1KtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gWzwhHQ-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qDffFyT8L.SS125_SS522_.jpg']",,Moen Incorporated,MY3786CH,"6.5""L x 2.8""W x 5""H",,Thailand,Chrome,Zinc,,[],"[{'Color': ' Chrome '}, {'Material': ' Zinc '}, {'Product Dimensions': ' 6.5""L x 2.8""W x 5""H '}, {'Finish Type': ' Chrome '}, {'Brand': ' Moen '}, {'Installation Type': ' Screw-In '}, {'Shape': ' Round '}, {'Item Weight': ' 14.4 Ounces '}]","['VERSATILE DESIGN: Chrome finish is highly reflective for a mirror-like look that works with any decorating style ', ' HELPING HAND: Keeps hand towels easily accessible and also displays decorative towels ', ' COORDINATING COLLECTION: Coordinates with other accessories in the Idora Collection ', ' EASY TO INSTALL: Included template and mounting hardware take the guesswork out of installation']","Effortlessly elegant, the Idora collection offers a beautiful balance of curves and facets that add delicate detail to any bath. This collection is designed to complement any style, while delivering an exceptional experience, every time.","['Color: Chrome', 'Material: Zinc', 'Product Dimensions: 6.5""L x 2.8""W x 5""H', 'Finish Type: Chrome', 'Brand: Moen', 'Installation Type: Screw-In', 'Shape: Round', 'Item Weight: 14.4 Ounces', 'Item Weight: 14.4 ounces', 'Manufacturer: Moen Incorporated', 'ASIN: B0882HQRJX', 'Country of Origin: Thailand', 'Item model number: MY3786CH', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 54 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #153,682 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #378 in Bath Towel Rings', 'Finish types: Chrome', 'Warranty Description: Limited Lifetime Warranty', 'Batteries required: No', 'Included Components: Towel Ring, Mounting Hardware, Installation Instructions']",6149e9a6-4206-5254-bc7a-d9d448239f4c,2024-02-02 18:55:31 +B00D93AT24,https://www.amazon.com/dp/B00D93AT24,"Roundhill Furniture Swivel Black Bonded Leather Adjustable Hydraulic Bar Stool, Set of 2",Roundhill Furniture Store,$46.00,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/31VM2JhRDZL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31VM2JhRDZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/314CcALbEqL._SS522_.jpg']",,No,PC140BK,"17""D x 17""W x 44""H",,China,Black,,Modern,[],,"['Faux Leather ', ' Imported ', ' A wide selection of products include pieces for the living room, dining room, bar, office, and outdoors. High-quality and innovative designs make this stool the premier company for luxurious moderm style. ', ' This stool features a sturdy chromed base and a handy lift mechanism with a built in 360° swivel function and footrest that allows the stool to adjust from counter to bar heights. ', ' This air lift adjustable bar stool with faux leather seat that have been injected with foam for added comfort comes in set of two. ', ' Set up Dimension: 17.5"" W x 17.5"" D x 35""-43.5""H; Seat width 17.5"";\xa0Seat depth 14"";\xa0Seat height 21.5""-30""; Seat back height 12""; Cushion height 2""; Chrome base diameter 16.5"" ', "" Photo May Slightly Different From Actual Item in Terms of Color Due to the Lighting During Photo Shooting or the Monitor's Display. Some assembly required, all parts and instructions included""]","Hot, sleek and incredibly fashionable and fun, these Adjustable Swivel Stools are must have for the modern home! Set of 2, faux leather seat, air lift design for seat height of 24 to 30 inches","['Product Dimensions: 17""D x 17""W x 44""H', 'Color: Black', 'Brand: Roundhill Furniture', 'Size: Set of 2', 'Style: Modern', 'Furniture Finish: Chrome', 'Seat Height: 30 Inches', 'Seat Width: 17.5 Inches', 'Maximum Weight Recommendation: 250 Pounds', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 36 pounds', 'Manufacturer: Roundhill Furniture', 'ASIN: B00D93AT24', 'Country of Origin: China', 'Item model number: PC140BK', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 3,616 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #240,447 in Home & Kitchen (See Top 100 in Home & Kitchen) #435 in Barstools', 'Is Discontinued By Manufacturer: No', 'Fabric Type: Faux Leather', 'Batteries required: No', 'Included Components: Two Stools', 'Import: Imported']",39e60114-002d-50ed-b1a4-efff34e2a7a5,2024-02-02 18:55:32 +B0BZ3RYRNY,https://www.amazon.com/dp/B0BZ3RYRNY,"PINPLUS Storage Ottoman Bench, Linen Coffee Table Ottoman with Tray, Large Storage Bench with Wooden Legs, Toy Chest Foot Stools, Ottomans with Storage for Living Room Bedroom, White, 30"" x 15"" x 15""",PINPLUS Store,$69.99,Only 4 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/41gj8mVGFGL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41gj8mVGFGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/3166ydQRXmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31LEb7C2TtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41vGuyicfLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31oKojM-zHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5143DkDJrQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/B1Qessm7K0L.SS125_SS522_.png']",,PINPLUS,Folding Ottoman Coffee Table,"15""D x 30""W x 15""H","March 21, 2023",China,White,Engineered Wood,Modern,[],,"['STORAGE OTTOMAN WITH TRAY DESIGN: It has a double-sided cover that is easy to disassemble. As a bonus, the top can turned over to make a tray which can be used as a coffee table/tea table and provides the convenience of life. ', ' STURDY AND DURABLE: All structures are made of MDF. We use 0.12"" thick MDF for the frame part, which can effectively prevent breaking and deformation. Exquisite tufted lid with is made of 0.35"" thick MDF and 0.98"" polyurethane foam, and its maximum load capacity is 550lbs. ', ' FASHIONABLE APPEARANCE: The clear lines and the design of solid wood legs give this oversized foldable storage ottoman coffee table a light and luxurious modern look. The color tone is in line with the contemporary home environment. ', ' COMFORTABLE SEAT: Size 30"" x 15"" x 15"", suitable for sitting and resting at the height of feet or legs. The interior is filled with high-elastic foam pads, well-crafted upholstery for more comfortable sitting. ', ' MULTIFUNCTIONAL: The multifunctional ottoman is suitable for sitting and resting at the height of feet or legs, and it can be used for shoe-changing stools, footstools, window stools, dressing stool, bed stools, toy cabinets, coffee tables, etc. It is very suitable for small spaces such as dormitories, makeup rooms, hallway, office, study, apartments.']",,"['Product Dimensions: 15""D x 30""W x 15""H', 'Color: White', 'Brand: PINPLUS', 'Style: Modern', 'Base Type: Rectangle', 'Model Name: Linen4legs', 'Product Care Instructions: Wipe with Dry Cloth', 'Included Components: bench box', 'Size: 30""x15""x15""', 'Maximum Weight Recommendation: 550 Pounds', 'Base Material: Engineered Wood', 'Material: Engineered Wood', 'Number of Items: 1', 'Item Weight: 15 pounds', 'Manufacturer: PINPLUS', 'ASIN: B0BZ3RYRNY', 'Country of Origin: China', 'Item model number: Folding Ottoman Coffee Table', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 172 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #247,289 in Home & Kitchen (See Top 100 in Home & Kitchen) #403 in Ottomans', 'Date First Available: March 21, 2023']",9836a914-1b28-5d08-adfb-e7f9a93b0b85,2024-02-02 18:55:33 +B087Z3RXLN,https://www.amazon.com/dp/B087Z3RXLN,"Red Co. 14 x 18 inch Large Decorative Frameless Beveled Edge Wall Hanging Mirror, Rectangular",Red Co. Store,$34.95,In Stock,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/21M6+MAnWpL._SS522_.jpg,"['https://m.media-amazon.com/images/I/21M6+MAnWpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/317Ab9Hc3mL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41gt+U+fjjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41C5RyJSmRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31ciE-M5gFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/416ymbRDWQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414ZQYxeRNL._SS522_.jpg']",,,,14 x 18 x 0.4 inches,,,Silver,Glass,Modern,[],"[{'Brand': ' Red Co. '}, {'Room Type': ' Bathroom '}, {'Shape': ' Rectangular '}, {'Product Dimensions': ' 18""L x 14""W '}, {'Frame Material': ' Rubber, Glass, Engineered Wood '}]","['This simple yet sophisticated beveled rectangle wall mirror is a highly versatile design, perfect for any setting from the bathroom wall, to your bedroom, vanity, hallway, and many more ', ' Mounting hardware included for safe and easy wall installation — includes soft rubber protective sticky pads to safely lay flat against furniture surfaces ', ' Constructed of high quality durable glass to product a bright sharp image which helps eliminates reflection distortion commonly found in less expensive mirrors ', ' Built to withstand bathroom environments and features high polished edges for a finished appearance and to allow for safe handling and cleaning ', ' Approximate measurements: 13.78"" x 18.1"" (35cm x 46cm) with a thickness of 5mm and a 0.4"" (1cm) beveled edge']","Streamlined mirror with beveled edge, 5mm thick with rubber feet. Price is for one mirror only. MDF Backer with 3 black hangers, 2 screws and anchors, plus and 4pcs soft EPE round rubber feet included in small bag.","['Room Type: Bathroom', 'Mounting Type: Wall Mount', 'Special Feature: Frameless', 'Specific Uses For Product: Decoration, Vanity Display', 'Frame Type: Unframed', 'Frame Material: Rubber, Glass, Engineered Wood', 'Finish Type: Polished', 'Material: Glass', 'Shape: Rectangular', 'Style: Modern', 'Color: Silver', 'Theme: Modern,Minimalist', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 120 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #516,802 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,553 in Wall-Mounted Mirrors', 'Brand: Red Co.', 'Number of Pieces: 1', 'Number of Items: 1', 'Product Dimensions: 18""L x 14""W', 'Item Weight: 2.75 Pounds', 'Item Dimensions LxWxH: 14 x 18 x 0.4 inches', 'Assembly Required: No']",486b2524-dc5e-54c6-9da6-0863e2dd56a7,2024-02-02 18:55:34 +B0C38VPJ15,https://www.amazon.com/dp/B0C38VPJ15,PONTMENT Foot Stool Leather Footstool Solid Wood Vintage Foot Rest Faux Leather Ottoman Upholstered Footrest for Living Room/Sofa/Couch.,PONTMENT,$95.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/51ElPbhgU7L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51ElPbhgU7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Emum-OmgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41buzO6VklL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51WpcjVDH9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51L9dkor+7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+iqX2nEdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51pkpvs7DAL.SS125_SS522_.jpg']",,zhengdaikang,zdk6666,13 x 15.75 x 13 inches,"April 22, 2023",China,,,,[],"[{'Material': ' 人造革 实木 '}, {'Color': ' Black '}, {'Brand': ' PONTMENT '}, {'Size': ' 13 X 13 X15.75 '}, {'Item Weight': ' 6.8 Pounds '}]","['Commitment: We are manufacture, all mateiral quality comply with US safety and regulations to ensure your health, if there are any issues with products,we provide 7*24 ', ' Material:The Foot Stool Use Qualified Solid Leg and frame, 400LBS loading capacity, Anti-Slip glide applied on each leg,High quality articial Faux leather cushion which is easy to clean 。 ', ' Design:The Footstool Square and Round designs,with or without pull-tighten bottons, red/green/black/Brown for your choice. Cushion has 7 bottons to fix the cushion,retro style, high density foam which sit comfortably for longer ', ' Function:The Foot Rest American retro style,Delicate and elegant, sit or put leg or coffee table aside chair, or Ottoman in front hallway sofa, In your bedroom, balcony, study corner/Home Office/Living Room/game room, and indoor changing stool ', ' The Footrest Simple Assembly required,A red plastic hardware pack and AI can be seen once open the carton, PLS process per the AI']",,"['Product Dimensions: 13 x 15.75 x 13 inches', 'Item Weight: 6.8 pounds', 'Manufacturer: zhengdaikang', 'ASIN: B0C38VPJ15', 'Country of Origin: China', 'Item model number: zdk6666', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 8 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #948,536 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,362 in Ottomans', 'Date First Available: April 22, 2023']",d00ad728-3d11-518d-9f4a-18893c80921c,2024-02-02 18:55:34 +B0003SDM18,https://www.amazon.com/dp/B0003SDM18,"Kingston Brass BA2714C Milano Towel-Ring, 6-Inch, Polished Chrome",Kingston Brass Store,$46.95,Only 12 left in stock - order soon.,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Rings']",https://m.media-amazon.com/images/I/41X7yXWQ+PS._SS522_.jpg,"['https://m.media-amazon.com/images/I/41X7yXWQ+PS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31x5xwloKqL._SS522_.jpg']",,No,BA2714C,7.75 x 6.5 x 1.75 inches,"October 15, 2004",Taiwan,Polished Chrome,Brass,Contemporary,[],"[{'Color': ' Polished Chrome '}, {'Material': ' Brass '}, {'Finish Type': ' Chrome '}, {'Brand': ' Kingston Brass '}, {'Installation Type': ' Wall Mount '}, {'Shape': ' Round '}]","['6"" Diameter Towel Ring ', ' High Quality Brass Construction ', ' Milano Design ', ' Coordinates Perfectly With Milano Collection ', ' 2-5/8"" Base']","Product Description The Milano towel ring provides a stylish, convenient place to hang your hand towel. Pair with other accessories from the Milano Collection for a matching set. This Collection will aid in enhancing a modern theme. From the Manufacturer Aesthetic, Functional, Invites Visual Appeal. Design is Perfectly Co-Ordinated to Match the Accessories. Easy installation. Durable Brass Construction assures a lifetime performance. Timeless Design offered you with a solution for both premiere home decor and legendary durability. All products come with a generous product warranty. Many Hardware Accessories are made to match faucets to complete your home into a designer estate.","['Manufacturer: Kingston Brass', 'Part Number: BA2714C', 'Item Weight: 9.9 ounces', 'Product Dimensions: 7.75 x 6.5 x 1.75 inches', 'Country of Origin: Taiwan', 'Item model number: BA2714C', 'Is Discontinued By Manufacturer: No', 'Size: 6 Inch', 'Color: Polished Chrome', 'Style: Contemporary', 'Finish: Chrome', 'Material: Brass', 'Shape: Round', 'Installation Method: Wall Mount', 'Item Package Quantity: 1', 'Included Components: Towel Ring; Mounting Hardware', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B0003SDM18', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 39 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #237,193 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #335 in Bath Towel Rings', 'Date First Available: October 15, 2004']",6d6256df-3c3b-59f4-9069-27780435adbc,2024-02-02 18:55:35 +B0CCRXWDF1,https://www.amazon.com/dp/B0CCRXWDF1,"Lazy Chair with Ottoman, Modern Lounge Accent Chair with Footrest, Pillow and Blanket, Leisure Sofa Chair Reading Chair with Armrests and Side Pocket for Living Room, Bedroom & Small Space, Grey",WARMGIFT WM,$139.99,Only 9 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/415U1ul6gpL._SS522_.jpg,"['https://m.media-amazon.com/images/I/415U1ul6gpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41dQnHr0CSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31SvdVqXgAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41LpZ4wqqWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Hf6v4SxYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Na+HlFB6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/516IviuTHgL._SS522_.jpg']",,,WM-Y-JH,"27.5""D x 28.3""W x 37.4""H","July 25, 2023",,Grey,,,[],,"[""【Lazy Chair with Ottoman,Pillow and Blanket】The upholstered leisure chair comes with a foldable ottoman footstool and a 2 in 1 pillow that can be converted into comforter, and a coral fleece blanket for extra comfort. This comfy lazy chair is sure to become everyone's favorite spot to sit or lounge in. "", "" 【Comfortable lazy sofa chair with Ottoman】The comfy lazy chair is made of carefully selected soft and skin-friendly fabric and filled with PP cotton to make sure a full padded seat and back, which can create a comfortable seating experience. Allows you to get enough relaxation and rest after a day's work. "", "" 【Ergonomic Lazy Chair】 This accent sofa chair is designed with ergonomic curved backrest which can offers enough support to your neck, back, waist and hip, and perfectly fit your body lines, and bring you an extremely pleasing and comfortable sitting experience. In addition, there is a side storage pocket for you to hold books, cell phones and other items at arm's reach. "", ' 【Durable Accent Lazy Chair】 The leisure chair is crafted with a strong steel frame and legs.The sturdy frame can well support the whole chair and it supports up to 400 lbs. Moreover, foot pads of the leisure chair not only prevent the bedroom chair from tilting and sliding, but also protect the floor from scratches. ', ' 【Easy To Assemble】 The leisure chair has a simple structure, following the detailed and illustrated manual guidance, just attach the legs to the frame of the chair, you can quickly finish the assemble work. NO additional tools or hardware needed. ', ' 【Multiple Occasions Modern Lounge Chair】The cozy chair is an excellent choice for bedroom, lounge area, lofts, reading room, studying room, balcony and more. The stylish design of this sofa chair can perfectly match your furniture and bring a modern feel to your home decor.']","Lazy Chair with Ottoman and Pillow and Blanket. Modern Lounge Accent Chair with Armrests and a Side Pocket, Leisure Upholstered Sofa Chair Set","['Brand: WARMGIFT WM', 'Color: Grey', 'Product Dimensions: 27.5""D x 28.3""W x 37.4""H', 'Special Feature: Side Pocket, Ergonomic, Foot Rest, Head Support', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Reading', 'Pattern: Solid', 'Included Components: Ottoman', 'Shape: Rectangular', 'Surface Recommendation: Hard Floor', 'Form Factor: Upholstered', 'Included Throw Pillow Quantity: 1', 'Item Weight: 18.25 pounds', 'ASIN: B0CCRXWDF1', 'Item model number: WM-Y-JH', 'Best Sellers Rank: #2,702,361 in Home & Kitchen (See Top 100 in Home & Kitchen) #7,303 in Living Room Chairs', 'Date First Available: July 25, 2023']",0acd8c1c-d689-5fc2-b0ba-9909a60f47dd,2024-02-02 18:55:35 +B0CGX7Y9HQ,https://www.amazon.com/dp/B0CGX7Y9HQ,"latifolia Shoe Cabinet, Vintage Shoe Storage Cabinet with 2 Doors, 4 Tier Bamboo Shoe Organizer Cabinet for Entryway, Closet, Hallway",latifolia Store,,,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Free Standing Shoe Racks']",https://m.media-amazon.com/images/I/41Mst-29ZdL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Mst-29ZdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41HKkei4oRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41GHfNAPwlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41IrZZ77ptL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/517u7rEzyML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51oMzDxcSkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51M8HpoGBmL._SS522_.jpg']",,,,"24.8""D x 12.99""W x 35.43""H",,,Brown,Bamboo,Modern,[],,"['【Large capacity closed shoe cabinet】Size: 25.98""(L) x 12.99""(W) x 35.43""(H).The large capacity shoe storage cabinet provides a large storage space, up to 16 pairs of shoes can be stored, can store a variety of high heels, high tops, sports shoes, boots, to meet the daily storage needs of shoes, closed space makes the whole room look more tidy and clean. ', ' 【Sturdy and durable】The whole shoe cabinet is made of natural bamboo, the surface is polished very smooth, the bamboo texture is clearly visible, the toughness of bamboo makes the shoe cabinet bearing capacity has been greatly improved, the structure is strong, the cabinet surface is wear-resistant and easy to clean. ', ' 【Special design】The bamboo shoe cabinet looks more simple and natural, the top area you can put some de corations, the drawer under the desk can hold some everyday items, the cabinet door with breathable design is more beautiful, the interior has four layers of shoe storage space to meet daily needs. ', ' 【Beautiful and practical】The shoe cabinet can be placed in Closet, living room, doorway, bedroom, office，Not only can shoes be stored, but they can also be used as a beautiful decoration to make your house full of charm. ', ' 【Easy to assemble】Our products provide installation instructions and installation tools, you can follow the installation instructions step by step, feel free to contact us for any installation problems.']",,"['Recommended Uses For Product: Tools', 'Special Feature: Unlit', 'Mounting Type: embedded', 'Room Type: Living Room', 'Door Style: Shutter', 'Number of Doors: 2', 'Number of Drawers: 2', 'Number of Shelves: 4', 'Base Type: Legs', 'Installation Type: Freestanding', 'Product Dimensions: 24.8""D x 12.99""W x 35.43""H', 'Size: 25.98""L With drawer', 'Item Weight: 27 Pounds', 'Assembly Required: Yes', 'Customer Reviews: 3.4 3.4 out of 5 stars \n 13 ratings \n\n\n 3.4 out of 5 stars', 'Best Sellers Rank: #284,403 in Home & Kitchen (See Top 100 in Home & Kitchen) #651 in Free Standing Shoe Racks', 'Brand: latifolia', 'Included Components: Shelves', 'Model Number: LA-WDXG', 'Material: Bamboo', 'Finish Type: Polished', 'Product Care Instructions: Wipe with Damp Cloth', 'Frame Material: Bamboo', 'Color: Brown', 'Style: Modern', 'Shape: L-Shape']",92344a28-7b9e-56f1-bd7b-093b1a5acd8c,2024-02-02 18:55:36 +B0CM6PR2ZB,https://www.amazon.com/dp/B0CM6PR2ZB,"Jumweo Towel Racks for Bathroom, Metal Towel Rack Wall Mounted for Large Towels, Rolled Bath Towel Holder for Bathroom Wall, Bath Towel Storage Shelf with Wood Shelf for Small Bathroom",Jumweo,$19.98,In Stock,"['Home & Kitchen', 'Bath', 'Bathroom Accessories', 'Towel Holders', 'Towel Racks']",https://m.media-amazon.com/images/I/411VfNriJEL._SS522_.jpg,"['https://m.media-amazon.com/images/I/411VfNriJEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41xTjVc5qXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41pzRg4cXxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41UcIV3nFpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41hPSVDpaBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51k7Gvc3seL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61StGieAGfL.SS125_SS522_.jpg']",,Jumweo,Jumweo-TR,"5.5""D x 7.87""W x 31.49""H","October 31, 2023",China,,,,[],,"['High quality material: Our towel racks for bathroom is made of sturdy metal with black rust resistant coatings, with sturdy and durable surfaces that can withstand heavy weights. Each board of towel rack wall mounted is made of natural pine wood with unique textures, and the top board can be used to store green plants or other decorative items. Each towel holder for bathroom wall is unique. ', ' Space saving: This towel storage adopts a vertical storage design and is installed on the wall, greatly utilizing space. The size of the bathroom towel storage is 7.87 x 5.5 x 31.49 inches, which is large enough to easily place many large towels on the towel racks, and it is easy to access, so you no longer need to worry about storage space. ', ' Easy to install: This 2 tier towel organizer comes with the required installation hardware and instructions, which can be easily installed in minutes! In addition, complex tools are not required during the installation of wall mounted towel racks, only basic tools are needed to complete the installation.These are not wire and shaky racks, they are sturdy and durable. ', ' Perfect Design: The towel storage for small bathroom decorates your bathroom while making it easier to create neat and organized spaces! Our product adopts a double-layer design and can store towels of different sizes separately. The bottom and middle of towel racks have added horizontal bar support design, making the entire gap more compact and preventing the washcloth from easily falling off.Towel shelf are suitable for bathrooms, saunas, entrances, bedrooms, laundry areas, etc. This stylish and elegant towel racks for bathroom wall mounted is the perfect gift for your comfortable little family/friends to move up. ', ' High quality service: Dear customer, if you encounter any problems during use, please contact us. We will be happy to help you solve any problems or difficulties you encounter. 100% customer satisfaction is our goal.']",,"['Special Feature: Durable, Rust Resistant', 'Product Dimensions: 5.5""D x 7.87""W x 31.49""H', 'Brand: Jumweo', 'Product Care Instructions: Wipe with Dry Cloth', 'Number of Items: 1', 'Manufacturer: Jumweo', 'Model Name: Jumweo-TR', 'Item Weight: 2.6 Pounds', 'Furniture Finish: Pine, Metal', 'Installation Type: Screw-In', 'Item Weight: 2.6 pounds', 'ASIN: B0CM6PR2ZB', 'Country of Origin: China', 'Item model number: Jumweo-TR', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 41 ratings \n\n\n 4.8 out of 5 stars', 'Best Sellers Rank: #213,252 in Home & Kitchen (See Top 100 in Home & Kitchen) #286 in Towel Racks', 'Date First Available: October 31, 2023']",f27f0e4d-1b21-5aef-8fdd-69bc0837ac33,2024-02-02 18:55:37 +B005FFA3LQ,https://www.amazon.com/dp/B005FFA3LQ,"Christopher Knight Home Gentry Bonded Leather Dining Chairs, 2-Pcs Set, Black",Christopher Knight Home Store,$110.24,Only 2 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/412PrvRCw-L._SS522_.jpg,"['https://m.media-amazon.com/images/I/412PrvRCw-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wpe0I9A-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31h0BHasDSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Z2Y2Z6vRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31YQyfK8jmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/410kjmnd2gL._SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,No,213817,"22.75""D x 17.25""W x 35.5""H","August 1, 2011",China,Black,Foam,Leather,[],,"['Set includes 2 dining chairs.No assembly required ', ' Supple bonded leather with diamond-patterned tufting ', ' Sturdy wood frame and espresso-stained wood legs ', ' Well padded all over to insure maximum comfort ', ' Dimensions: 22.5""D x 17""W x 35.75""H, Seat Height: 18""']","These Waldon chairs are beautifully crafted out of bonded leather and high-quality hardwood legs. They are a wonderful addition to any dining room with their neutral color and unique tufting on the backrests. The soft cushions and slightly arched backrests make for an enjoyable seat. In fact, these seats can function as additional seating for guests in any room. These traditional design dining chairs are stylish enough to fit in anywhere you can use them, and you will make full use of them!","['Brand: Christopher Knight Home', 'Color: Black', 'Product Dimensions: 22.75""D x 17.25""W x 35.5""H', 'Size: 2-Pcs Set', 'Back Style: Solid Back', 'Special Feature: Sturdy', 'Unit Count: 2.0 Count', 'Recommended Uses For Product: Dining', 'Style: Leather', 'Pattern: Solid', 'Finish Type: black', 'Room Type: Dining Room', 'Age Range (Description): Adult', 'Included Components: 2 Dining Chairs', 'Shape: Rectangular', 'Model Name: Waldon', 'Surface Recommendation: Hard Floor', 'Furniture Finish: Leather', 'Fill Material: Foam', 'Item Weight: 31.4 pounds', 'Country of Origin: China', 'Item model number: 213817', 'Is Discontinued By Manufacturer: No', 'Weight: 20 Pounds', 'ASIN: B005FFA3LQ', 'Customer Reviews: 3.8 3.8 out of 5 stars \n 41 ratings \n\n\n 3.8 out of 5 stars', 'Best Sellers Rank: #2,267,584 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,678 in Kitchen & Dining Room Chairs', 'Date First Available: August 1, 2011']",69045b6b-304e-5851-b67b-096b81294819,2024-02-02 18:55:37 +B09CGPQT1L,https://www.amazon.com/dp/B09CGPQT1L,BokWin 4 Sets No Mortise Bed Rail Fittings Wooden Bed Frame Connectors Metal Bed Rail Fasteners,BokWin,$7.99,In Stock,"['Home & Kitchen', 'Furniture', 'Replacement Parts', 'Bed Parts']",https://m.media-amazon.com/images/I/41ocbpXWJgL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41ocbpXWJgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41leyCAmkHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ydVtdNVlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41DRxoLSFdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41P-OjYtZaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51GnSMvm-ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51V26pCyKFL._SS522_.jpg']",,BokWin,BokWin210812-0009,5.67 x 3.5 x 0.87 inches,"August 12, 2021",,,Iron,,[],[],"['Package Content: 4 Sets Bed Rail Brackets (4 Brackets & 4 Flat Plates) + Screws. ', ' Dimensions: Angle Pieces: 83*22*22mm/ 3.27*0.87*0.87 inch (L*W*H). Flat Pieces: 88*15mm/ 3.46*0.59 inch. ', ' No Mortise Heavy Duty Set: Bed rail fasteners are made of galvanized rust-resistant iron, no-mortise installation Designed for assembled or disassembled fast and easily. ', ' Application: Used in wooden bed frames, bed rails, headboards, pedals, bunk beds, and even other wooden furniture. ', "" Quality After Sale Service: Satisfying customers is BokWin's top priority. If you do not 100% satisfied with our products or if you have any questions, you can contact us anytime. BokWin would solve all the problems to your satisfaction. Free Replacement or Refund within 90 days.""]","Specification: Material: Iron Finish: Galvanized Angle Pieces: 83*22*22mm/ 3.27*0.87*0.87 inch (L*W*H) Flat Pieces: 88*15mm/ 3.46*0.59 inch Note: Please allow 1-2mm error due to manual measurement, please make sure you do not mind before you bid. Due to the light of the picture and the display of the screen, the color of the picture may be slightly different from the actual object, please understand. 100% GUARANTEE SERVICE: Satisfying customers is BokWin's top priority. If you do not 100% satisfied with our products or if you have any questions, you can contact us anytime. BokWin would solve all the problems to your satisfaction. Free Replacement or Refund within 90days.","['Manufacturer: BokWin', 'Part Number: BokWin210812-0009', 'Item Weight: 7 ounces', 'Package Dimensions: 5.67 x 3.5 x 0.87 inches', 'Item model number: BokWin210812-0009', 'Material: Iron', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B09CGPQT1L', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 5 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #880,084 in Home & Kitchen (See Top 100 in Home & Kitchen) #275 in Bed Replacement Parts', 'Date First Available: August 12, 2021']",cfbd7b91-5ce9-5e79-ad16-111ee7b3877f,2024-02-02 18:55:38 +B0B51LYB8T,https://www.amazon.com/dp/B0B51LYB8T,"Simple Deluxe Gaming Chair, Big and Tall Gamer Chair, Racing Style Adjustable Swivel Office Chair, Ergonomic Video Game Chairs with Headrest and Lumbar Support",Simple Deluxe Store,,Available to ship in 1-2 days,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Gaming Chairs', 'Computer Gaming Chairs']",https://m.media-amazon.com/images/I/41ZTMbqu1JL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41ZTMbqu1JL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41FMU3U31ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Ieh8fB50L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51PI33e5fNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Z6WANh-OL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51R8MVTS0lL._SS522_.jpg']",,,Ergonomic Gaming Chair Black,"21""D x 18.5""W x 40""H","June 24, 2022",China,Black,,With arms,[],,"['Ergonomic Design for Superior Comfort: Experience unparalleled comfort with our gaming chair, designed with adjustable lumbar support, and neck pillow to promote a healthy posture during racing gaming sessions. ', ' High-Quality Materials: Experience unparalleled stability and support with our gaming chair, boasting robust metal legs as opposed to the conventional plastic. Our superior metal foundation ensures durability and strength. ', "" Retractable Footrest: Elevate your gaming experience with our deluxe chair, outfitted with a retractable footrest for the ultimate in relaxation. Kick back and extend your legs, enjoying full-body support during intense gaming sessions or while taking a well-deserved break. With this deluxe addition, our chair isn't just a seat—it's your personal relaxation station. "", "" Adjustable Chair：Seamlessly adapt to your gaming style with our chair's flexible design. The backrest smoothly adjusts from an upright 90° to a relaxed 120° angle, allowing you to find your perfect angle for play or rest. Paired with a 360° swivel seat and 3 inches of height customization, our chair offers a fully personalized gaming throne that responds intuitively to your every move. "", ' Satisfaction Guaranteed: We stand behind our product with a comprehensive warranty and a dedicated customer service team, ensuring that you can focus on your gaming experience with absolute peace of mind. If you’re not satisfied, or have any questions, please contact customer service.']","This gaming chair is multifunctional. The ergonomic computer chair with the high-density cushion seat, the high backrest and the wide armrests will become your favorite. Every single part of this chair can be adjusted to your height and body.","['Brand: Simple Deluxe', 'Color: Black', 'Product Dimensions: 21""D x 18.5""W x 40""H', 'Size: without footrest', 'Back Style: Solid Back', 'Special Feature: Adjustable Height', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office, Gaming', 'Maximum Weight Recommendation: 330 Pounds', 'Style: Adjustable Height', 'Pattern: Solid', 'Room Type: Game Recreation Room', 'Age Range (Description): Adult', 'Included Components: Game Chair with Headrest and Lumbar Pillow', 'Shape: L-Shaped', 'Model Name: gaming chair', 'Arm Style: With arms', 'Surface Recommendation: Carpet', 'Furniture base movement: Swivel', 'Form Factor: Plastic', 'Furniture Finish: Leather', 'Seat Depth: 30 inches', 'Item Weight: 33 pounds', 'Country of Origin: China', 'Item model number: Ergonomic Gaming Chair Black', 'ASIN: B0B51LYB8T', 'Customer Reviews: 3.6 3.6 out of 5 stars \n 74 ratings \n\n\n 3.6 out of 5 stars', 'Best Sellers Rank: #635,625 in Home & Kitchen (See Top 100 in Home & Kitchen) #189 in Computer Gaming Chairs', 'Date First Available: June 24, 2022']",2631f7c4-fc61-5b16-9824-7acf7fd59994,2024-02-02 18:55:39 +B0BMXD3D6J,https://www.amazon.com/dp/B0BMXD3D6J,OIGUMR Shield Wall Mirror Mirror Wall Decor Vintage Mirror (11.3 x 8.5 inch Gold),OIGUMR,$16.99,In Stock,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/41LSP7xb2qL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41LSP7xb2qL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41HJyqobYZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41r-j6VUJLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41NEe5NAPmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VpE9y6nqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31sIerx-VoL._SS522_.jpg']",,,,"11.3""L x 8.5""W",,,Gold,Resin,,[],"[{'Brand': ' OIGUMR '}, {'Room Type': ' Living Room '}, {'Shape': ' Arched '}, {'Product Dimensions': ' 11.3""L x 8.5""W '}, {'Frame Material': ' Resin '}]","['Resin Frame Vintage Shield Mirror ', ' Shield Mirror is an excellent choice for Baroque Rococo and any other antique decor，is perfect wall decor for living room, bedroom, hallway, lounge and office ', ' GOLD COLOR This Gold Shield mirrors measure 11.3 x 8.5 inch and are a Vintage golden color so they suit a range of color home decor，Two size of Shield hanging mirror, ideal for styling your home ', "" Multifunctional： Vintage Shield mirror is great for put on the desk, dresser countertop is also a beautiful home decoration. And it's also a tray for perfume or makeup! "", ' Gift Idea - The Vintage Shield Mirror will be a perfect gift for House warming, Wedding, Anniversary, Christmas, New Year!']",,"['Room Type: Living Room', 'Mounting Type: Wall Mount', 'Frame Type: Framed', 'Frame Material: Resin', 'Material: Resin', 'Shape: Arched', 'Color: Gold', 'Theme: Antique,Vintage', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 53 ratings \n\n\n 4.8 out of 5 stars', 'Best Sellers Rank: #721,320 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,124 in Wall-Mounted Mirrors', 'Brand: OIGUMR', 'Number of Pieces: 1', 'Number of Items: 1', 'Product Dimensions: 11.3""L x 8.5""W', 'Assembly Required: No']",238e58d6-f7a8-55db-b3b8-8d9b414668f9,2024-02-02 18:55:39 +B0CJHT9KH6,https://www.amazon.com/dp/B0CJHT9KH6,"ChooChoo Farmhouse End Table, Modern End Table with Storage Shelf, X-Design Side Table Living Room (White and Brown)",ChooChoo Store,$74.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41P7V9O6gaL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41P7V9O6gaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41WkoXPL2JL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41rF7SZsoXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ursaUlKtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41zN1xlB1TL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414XUSCDNXL._SS522_.jpg']",,,,"16""D x 22""W x 20""H",,,White and Brown,Engineered Wood,Modern,[],,"['【Modern End Table】Simple shape and stylish X design side table, elegant radian applied to geometric design, and attractive appearance will make your home more charming. ', ' 【Multifunctional Storage】The spacious tabletop can easily place exquisite desk lamps, and beautiful photos with family members or remote controls, the open lower shelf you can put some magazines or green plants, etc. you can also put it in the office as a small table for holding drinks and snacks, which is a good choice. ', ' 【Sturdy and Durable】The small end table is made of premium MDF material and the simplicity X structure design not only creates a romantic atmosphere, but also makes the whole more stable, and it will fit most of your decoration styles. ', ' 【Easy to install】The end table living room is intimately equipped with numbered parts, illustrations and assembly tools, so that the assembly process becomes simpler, so that you can enjoy the pleasure of hands-on, and it is equipped with hole stickers to make everything more perfect. ', ' 【Customer Services】ChooChoo provides the best customer survices before and after your purchasing. if you have any questions about black end table，please feel free to contact us,we will respond within 24 hours.']","ChooChoo End Side Table, Modern End Table with Storage Shelf, X-Design Side Table Living Room","['Brand: ChooChoo', 'Shape: Square', 'Room Type: Living Room', 'Included Components: 8 X Hole sticker, 1 X End Table, 1 X Instruction', 'Color: White and Brown', 'Model Name: ET2107', 'Model Number: ET2107', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 152 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #129,506 in Home & Kitchen (See Top 100 in Home & Kitchen) #534 in End Tables', 'Top Material Type: Engineered Wood', 'Assembly Required: Yes', 'Product Dimensions: 16""D x 22""W x 20""H', 'Item Width: 22 inches', 'Item Weight: 23 Pounds', 'Number of Items: 1', 'Style: Modern', 'Table design: End Table', 'Special Feature: Easy Assembly', 'Base Type: Leg']",0bb9f115-d57e-520a-ba37-6dfe2a37f1f4,2024-02-02 18:55:40 +B07RY46G23,https://www.amazon.com/dp/B07RY46G23,"ZIYOO Twin Bed Frame 14 Inch High 3 Inches Wide Wood Slats with 2500 Pounds Support, No Box Spring Needed for Foam Mattress,Underbed Storage Space, Easy Assembly, Noise Free",ZIYOO Store,$99.99,In Stock,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Beds, Frames & Bases', 'Bed Frames']",https://m.media-amazon.com/images/I/31dZ6tsbHOL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31dZ6tsbHOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gr3PuXZbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/412t9aTcMvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41f-2MbcOfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4119HELBwsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/B1dHJfNetfS.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,ZIYOO,Twin,"75""L x 39""W x 14""H","May 16, 2019",,Black,,,[],,"['HEAVY DUTY: Built for maximum strength and durability, heavy duty cross square beams steel slats supports the highest profile mattresses. ', ' NOISE FREE: Reinforced middle-leg structure and frame structure makes bed frame foundation free from squeaking and sliding. ', ' EASY ASSEMBLE: Integrated compact design can set up in minutes by assembly minimal components without additional tools. ', ' WITH STORAGE: Allows for valuable 13.5 inches storage space under the standard size mattresses. ', ' NO BOX SPRING NEEDED: Eliminates the requirement for a box spring, headboard-brackets adaptable(no Included).']",,"['Size: Twin', 'Product Dimensions: 75""L x 39""W x 14""H', 'Special Feature: Squeak Resistant, 3 Inches Wide Wood Slats, Easy Assembly', 'Color: Black', 'Finish Type: Steel,Wood', 'Included Components: Wood Slats, Bed Frame', 'Compatible With Mattress Size: Twin,39”x75”', 'Brand: ZIYOO', 'Furniture Finish: Alloy Steel', 'Assembly Required: Yes', 'Item Weight: 35.5 pounds', 'Manufacturer: ZIYOO', 'ASIN: B07RY46G23', 'Item model number: Twin', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 4,457 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #144,080 in Home & Kitchen (See Top 100 in Home & Kitchen) #791 in Bed Frames', 'Date First Available: May 16, 2019']",968ce011-a64e-53e9-970c-b80b52da220b,2024-02-02 18:55:41 +B0CB7SM7MM,https://www.amazon.com/dp/B0CB7SM7MM,"MoNiBloom Set of 2 Plastic Barstools with PU Cushion, Height Adjustable White Bar Stools with High Backrest and 360° Swivel, Modern Counter Height Barstool for Kitchen Dining Room and Pub",MoNiBloom Store,$50.00,Only 5 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/31fCq+IIEuL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31fCq+IIEuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51DCFZfWRTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/416ynZyru+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/518piEp1IML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31ianFFR+UL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31atFGCWf5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/413FD8z9NKL._SS522_.jpg']",,MoNiBloom,A02-ST-013-2P-WHWH-CH,"17""D x 19""W x 47""H",,China,White,,Modern,[],,"['360-Degree Swivel Seat - The innovative swivel design and integrated footrest ensure effortless movement and unparalleled comfort while seated, allowing you to easily rotate in any direction with grace. ', "" Durable Plastic Backrest: The bar stool features a sturdy and durable plastic backrest, providing added support and comfort. The plastic backrest also helps keep the overall weight of the stool low, making it easy to move and rearrange as needed. Additionally, the plastic material used for the backrest is resistant to scratches and abrasions, ensuring long-lasting durability while maintaining the stool's attractive appearance. "", ' Durable Leather Upholstery - Crafted from high-quality leather, known for its longevity, this barstool exhibits a natural patina that only gets more alluring with time, adding a touch of elegance and sophistication to any space. ', ' Unmatched Comfort and Support - Engineered with medium-firm upholstery foam, this barstool offers the perfect balance of comfort and support. Designed to cradle your body gently, it evenly distributes your weight and relieves pressure, ensuring a pleasurable seating experience. ', "" Quick and Effortless Assembly - The package includes all the necessary installation tools, making the assembly process a breeze. With clear instructions, you'll have each barstool assembled in a mere 5 minutes, saving you time and effort.""]",,"['Product Dimensions: 17""D x 19""W x 47""H', 'Color: White', 'Brand: MoNiBloom', 'Style: Modern', 'Maximum Weight Recommendation: 250 Pounds', 'Product Care Instructions: Wape with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 26.9 pounds', 'Manufacturer: MoNiBloom', 'ASIN: B0CB7SM7MM', 'Country of Origin: China', 'Item model number: A02-ST-013-2P-WHWH-CH', 'Best Sellers Rank: #3,868,820 in Home & Kitchen (See Top 100 in Home & Kitchen) #7,994 in Barstools']",04bc3112-3c6b-551c-af8f-525b0646b183,2024-02-02 18:55:42 +B08ZHPDZX5,https://www.amazon.com/dp/B08ZHPDZX5,KingCamp Stable Folding Camping Table Bamboo Outdoor Folding Tables Adjustable Height Portable Picnic,KingCamp Store,,Only 8 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Folding Tables & Chairs', 'Folding Tables']",https://m.media-amazon.com/images/I/41Sc-GGZBeL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Sc-GGZBeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61V-Y411wdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/418QSOt4xEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VFLGicA2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Ox-TbGbZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515KLw6oiLL._SS522_.jpg']",,,,"27.6""D x 47.2""W x 27.56""H",,,"Yellow-27.6""d X 47.2""w X 27.56""h","Aluminum,Bamboo",YELLOW,[],,"['The leg of the table can be adjusted into three heights ', ' No tools needed!\xa0With the folding design ', ' With aluminum tubes design, the table is very stable ', ' The table only weight 22 lbs and after folded the size of the table ', ' Our table is multi-purpose which perfect to be used indoors']",,"['Brand: KingCamp', 'Shape: Rectangular', 'Included Components: 1 ×Folding Table', 'Color: Yellow-27.6""d X 47.2""w X 27.56""h', 'Furniture Finish: Aluminum', 'Model Name: KC3929_YELLOW', 'Model Number: KC3929_YELLOW-USVC1', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 3 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #2,902,199 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,149 in Folding Tables', 'Special Feature: Portable', 'Base Type: Legs', 'Product Dimensions: 27.6""D x 47.2""W x 27.56""H', 'Item Width: 70 centimeters', 'Size: 47.2""X27.6""', 'Item Weight: 10 Pounds', 'Number of Items: 1', 'Frame Material: Metal, Bamboo', 'Top Material Type: Aluminum,Bamboo', 'Style: YELLOW', 'Pattern: Solid', 'Assembly Required: No', 'Warranty Description: 1 year manufacturer.']",4b0eeeee-a6c7-51bf-9638-bb38cb1e00e0,2024-02-02 18:55:42 +B00JVZEZE2,https://www.amazon.com/dp/B00JVZEZE2,"Artistic Weavers Berma Knitted Jute Round Pouf 14""H x 20""W x 20""D, Slate",Artistic Weavers Store,$130.00,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Poufs']",https://m.media-amazon.com/images/I/51wZvzlzMDL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51wZvzlzMDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VG2oo30EL._SS522_.jpg']",,No,Berma,"20""D x 20""W x 14""H",,India,Slate,Engineered Wood,Natural,[],,"['Imported ', ' The outside of this pouf is knitted jute, and the inside filling is polybeads. This pouf is high quality that will keep its shape over time. No zipper and outside cannot be removed. ', ' This solid round pouf is a versatile piece of furniture that can tie your room together with ease. Perfect for additional seating, resting your feet, or in lieu of an additional table. ', ' This pouf comes in a earthy natural tones that will work well in boho and contemporary homes. ', ' Lightweight and can easily be moved around to meet your needs. ', ' We recommend spot cleaning only. ', ' Outdoor Safe: No']","Outside: 100% Jute, Fill: 100% PolybeadsKnitted in IndiaOutdoor Safe: NoSize Dimensions: 14""H x 20""W x 20""DWeight: 7.5 Lbs.Colors: SlateIncredibly versatile, poufs can be used as additional seating, a footstool, or place a tray on it for a quick accent table.Spot clean or professional clean only.The Berma Knitted Jute Round Pouf is hand-knitted with 100% jute in India. Jute poufs make an easy addition to any space due to their natural aesthetic. Round poufs like this one work particularly well as extra seating in your home; and can be easily stored under tables so that they don't take up excessive space. Poufs can also double as an ottoman, offering a place to rest your feet or an additional tabletop.","['Product Dimensions: 20""D x 20""W x 14""H', 'Color: Slate', 'Brand: Artistic Weavers', 'Fabric Type: 100% Jute', 'Frame Material: Engineered Wood', 'Seat Height: 14 Inches', 'Product Care Instructions: Wipe with Damp Cloth', 'Maximum Weight Recommendation: 100 Kilograms', 'Size: 14""H x 20""W x 20""D', 'Style: Natural', 'Item Weight: 7.5 pounds', 'Manufacturer: SURN7', 'ASIN: B00JVZEZE2', 'Country of Origin: India', 'Item model number: Berma', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 28 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #912,569 in Home & Kitchen (See Top 100 in Home & Kitchen) #186 in Poufs', 'Is Discontinued By Manufacturer: No', 'Number of pieces: 1', 'Batteries required: No', 'Included Components: Pouf', 'Import: Imported']",6375ed16-8243-5fc6-8ed9-20365c5c5de7,2024-02-02 18:55:43 +B099NTP2SZ,https://www.amazon.com/dp/B099NTP2SZ,Dwellicity Hello Welcome Mat Black and Gray Striped Coir Mat,Dwellicity,$19.90,Only 7 left in stock - order soon.,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/51nGbm-6b-L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51nGbm-6b-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41avI2BmNTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Zwgba7FyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51lw53KokoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/419crYBIxJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41T+Y0gpZAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51XTAGUEAzL._SS522_.jpg']",,Dwellicity,,"30""L x 18""W","July 16, 2021",,,Polyvinyl Chloride,Modern,[],"[{'Brand': ' Dwellicity '}, {'Material': ' Coir '}, {'Weave Type': ' Machine Made '}, {'Pile Height': ' Low Pile '}, {'Construction Type': ' Handmade '}]","['✅ QUALITY AND UNIQUE DESIGN - stylish doormat 18x30 doormat that keeps your home clean. ', ' ✅ ECO-FRIENDLY FRONT DOOR MAT – each of our layered doormats are made from all-natural, 100% raw coconut fibers, making them the best eco-friendly choice for your home. Ethically sourced from our award-winning suppliers in India, our coir mat is produced using raw materials which conform to certified standards and Standard Operating Procedures (SOP) for excellent ', ' ✅ 100% SATISFACTION GUARANTEE – we are highly confident in the premium quality of our front door mats! If you have any issues with your purchase, please contact us directly, within 30 days, so that we can resolve any problems quickly for you ', ' ✅ HEAVY DUTY ANTI SLIP COIR DOORMAT – the high-density coconut coir bristles and heavy-duty backing create a naturally sturdy, anti slip doormat which is ideal to remove moisture, mud and debris from boots, shoes and even pet paws, to help prevent dirt from being brought into your home']","Stylish gray white striped door mat greets you when you come back home! 100% raw coconut fiber coir doormat This stylish, heavy duty coir doormat is the ideal welcome for every home! Each of our 100% natural coco fiber coir doormats features an inspirational design and are ethically sourced from our award-winning suppliers in Kerala, India. Each doormat is made from coconut husk which is densely packed, super strong and hard wearing – perfect for wiping off dirty boots and muddy paws! Each of our coir doormats has undergone anti-shedding treatments to reduce the risk of the fibers shedding and making them highly effective for scraping off any dirt that may enter your home. Easy to clean, simply scrape off any mud, shake off the dirt or vacuum if required. If your doormat is wet, simply hang up to dry and air out, ready for its next use in no time! Grab yours today and protect your floors with our stylish 100% coco fiber coir doormat!","['Brand: Dwellicity', 'Material: Coir', 'Weave Type: Machine Made', 'Pile Height: Low Pile', 'Construction Type: Handmade', 'Back Material Type: Polyvinyl Chloride', 'Theme: Striped', 'Is Stain Resistant: Yes', 'Pattern: Letter Print, Striped', 'Shape: Rectangular', 'Special Feature: Anti Slip', 'Room Type: Hallway', 'Product Dimensions: 30""L x 18""W', 'Rug Form Type: Doormat', 'Style: Modern', 'Number of Pieces: 1', 'Item Thickness: 0.6 Inches', 'Item Weight: 4.59 pounds', 'Manufacturer: Dwellicity', 'ASIN: B099NTP2SZ', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 2 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #594,679 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #9,114 in Outdoor Doormats', 'Date First Available: July 16, 2021']",6f2f69a5-61e1-5dea-bc74-176e3b960ee3,2024-02-02 18:55:43 +B0BZYWTH2D,https://www.amazon.com/dp/B0BZYWTH2D,"Lifewit 70.9"" Narrow Long Console Sofa Table with Metal Frame for Living Room, Industrial Entryway Table for Hallway Entrance Office Corridor Coffee Table Behind Sofa, Easy Assembly, Rustic Brown",Lifewit Store,$59.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'Sofa & Console Tables']",https://m.media-amazon.com/images/I/417XCOhUDgL._SS522_.jpg,"['https://m.media-amazon.com/images/I/417XCOhUDgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51OnZc2s0SL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41301ftw2zL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51YS58kv+nL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51KZmJkdmuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/413H1L4V2uL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A1zXnsI1ltL.SS125_SS522_.jpg']",,,,"7.9""D x 70.9""W x 31.5""H",,,Rustic Brown,Engineered Wood,Modern,[],,"['Spacious Open Storage: This console table measures 70.9""(180cm)×7.9""(20cm)×31.5(80cm) and its skinny figure makes it suitable for any narrow, long place. The open shelf provides ample space for various decorations such as books, magazines, plants, flowers, trays, keys, bags, scented candles, wooden calendar blocks, photo frames, hats, and sundries, as well as coffee and lamps. Moreover, the extra space under the table can be used to store storage boxes, stools, laundry baskets, and other items. ', "" Sturdy and Stable: This long long narrow console entryway table is made of high-quality particleboard with a woodgrain finish and a strong metal frame. Its intermediate T-shaped support structure enhances stability and firmness. With 5 adjustable caps on the legs, you don't need to worry about wobbling during use, and they prevent the floor from scratching. The top has a load-bearing capacity of 44 lb. For added safety, anchor the anti-tip device to the wall to prevent it from falling over. "", ' Perfect for Tight Spot: This slender console table fits perfectly in narrow spaces, such as behind a family room sectional against the living room wall, without taking up much open space. It can be locked between the sofa and wall for ambiance, or placed next to a window as a good landing place for plants and photos to add extra space for decor. You can store items underneath the table, making it easy to sweep with a broom without having to move a cumbersome sectional sofa. ', "" Straightforward Assembly: Every piece is clearly labeled and comes with simple instructions included in the package, leaving no room for mistakes. Simply follow the detailed instructions and use the tools provided. It's an easy and hassle-free process, saving you from tedious labor. "", ' Versatile and Practical: This console table can also serve as an entryway table for holding keys, hats, and sundries, or as a plant table for your greenery. Its appropriate size and modern simple style make it perfect for various settings, such as the living room, bedroom, dining room, study, balcony, office, hallways, and entrance. You can even place it by a window to hold DVDs, oversized country music books, a selection of bibles, plants above the radiator, or heavy cookbooks in the kitchen.']",,"['Brand: Lifewit', 'Shape: Rectangular', 'Room Type: Kitchen, Bedroom, Living Room, Home Office, Hallway, Dining Room', 'Color: Rustic Brown', 'Furniture Finish: Woodgrain Finish', 'Model Number: 23006', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 551 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #110,162 in Home & Kitchen (See Top 100 in Home & Kitchen) #116 in Sofa Tables', 'Special Feature: Storage', 'Is Foldable: No', 'Base Type: Legs', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 7.9""D x 70.9""W x 31.5""H', 'Item Width: 70.9 inches', 'Size: 70.9""L X 7.9""W X 31.5""H', 'Number of Items: 1', 'Frame Material: Metal, Wood', 'Top Material Type: Engineered Wood', 'Is Stain Resistant: No', 'Style: Modern', 'Table design: Console Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Requireley']",57481a6c-63a7-51bb-899e-943e7fa684e2,2024-02-02 18:55:44 +B07WK22XDX,https://www.amazon.com/dp/B07WK22XDX,"Henn&Hart 20"" Wide Round Side Table with Mirror Shelf in Antique Brass, Table for Living Room, Bedroom",Henn&Hart Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41+Mg7qmpYL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41+Mg7qmpYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51mvh-bXIoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qpGcIce5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41FKzCSegjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41+Mg7qmpYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51aaL7Q9eKL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/B1sndypUZdL.SS125_SS522_.jpg']",,,,"19.63""D x 19.63""W x 23.63""H",,,Antique Brass/Mirror,Glass,Side Table,['Safety Information: For external use only.'],,"['A Side Table contemporary design for your living room, bedroom, and more.']","This Hollywood glam inspired side table is the perfect pick for your living room or den ensemble. The top is a transparent tempered glass perfect for placing a table lamp, remotes or your favorite books. The lower mirrored glass shelf plays off the tempered glass top. Its chic silhouette is neutral enough to work in any space.","['Brand: Henn&Hart', 'Shape: Rectangular', 'Room Type: Bedroom, Living Room, Entertainment Room, Home Office', 'Included Components: Assembly Guide', 'Color: Antique Brass/Mirror', 'Finish Type: Brushed', 'Furniture Finish: Antique Brass', 'Model Name: Hera Table', 'Model Number: ST0133', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 895 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #91,925 in Home & Kitchen (See Top 100 in Home & Kitchen) #638 in End Tables', 'Style: Side Table', 'Table design: End Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Safety Warning: For external use only.', 'Warranty Type: No Warranty', 'Warranty Description: No warranty.', 'Specific Uses For Product: Home decor', 'Recommended Uses For Product: Home decor', 'Product Dimensions: 19.63""D x 19.63""W x 23.63""H', 'Item Width: 19.63 inches', 'Tabletop Thickness: 5.69 Inches', 'Size: Round', 'Item Weight: 18.1 Pounds', 'Maximum Weight Recommendation: 40 Pounds', 'Number of Items: 1', 'Number of Shelves: 1', 'Unit Count: 1.0 Count', 'Base Material: Stainless Steel', 'Frame Material: Glass', 'Top Material Type: Glass', 'Product Care Instructions: Wipe with Damp Cloth', 'Special Feature: Shelves', 'Is Foldable: No', 'Base Type: Legs', 'Indoor/Outdoor Usage: Indoor']",6610e4d1-2f14-5a69-a4d1-12584a7fde3b,2024-02-02 18:55:46 +B0CGZW945K,https://www.amazon.com/dp/B0CGZW945K,"klotski Kids Table and 2 Chair Set, Wood Activity Toddler Table and Chair Set with Storage, Children Table with Non-Slip Legs/Round Edge Design for Activity/Play/Art/Read/Craft",klotski,$125.99,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Tables & Chairs', 'Table & Chair Sets']",https://m.media-amazon.com/images/I/41QhFgJUCgL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41QhFgJUCgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41G2pRzNZsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515+FCk-sRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41sOF++EwyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41u9JvWDPEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51BvXsLwMXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41TqnaJp8zL._SS522_.jpg']",,,,33.5 x 23 x 5 inches,"August 31, 2023",,,,,[],,"[""【STRONG AND SAFE MATERIAL】The toddler table and chair set are made of natural birch wood, durable and load-bearing capacity, suitable for long-term use. The surface of the kids table and chair set is coated with water-based paint, which is safe enough for children's skin. The rounded edges also prevent bumps and bruises. "", "" 【TABLE AND CHAIR SET WITH STORAGE】Designed with a built-in storage boxes for kids to grab their and organize their books,toys and building blocks keep the table clean. The grooves on the circle can avoid pinching children's small hands. It helps to improve kids' sense of organization and responsibility. "", ' 【EASY TO WIPE】The childrens table and chair set are coated with water-based paint, and colored pencils and crayons can be wiped with a damp cloth. Your children can draw, do crafts, eat, drink and play here. It provides a relaxing space for your baby to release their artistic potential. Note: Wiping with a damp cloth is recommended. ', "" 【ERGONOMICALLY DESIGNED DESK AND CHAIRS】The chairs with backrests can effectively support your child's spine and help develop good sitting posture. Children can read, write, eat and play in their own space, thus enhancing their imagination and creativity. The smooth surface and rounded edges protect your child's delicate skin. "", ' 【EASY TO ASSEMBLE】Good times start with assembling this art table set, each part is lettered and numbered. Detailed, illustrated assembly manual and video will provide you with perfect guidance to assemble the whole table set easily. If you need any assistance, please feel free to contact our 24-hour customer service team and we will be happy to help you.']",,"['Item Weight: 33.4 pounds', 'Package Dimensions: 33.5 x 23 x 5 inches', 'ASIN: B0CGZW945K', 'Customer Reviews: 4.9 4.9 out of 5 stars \n 13 ratings \n\n\n 4.9 out of 5 stars', ""Best Sellers Rank: #700,420 in Home & Kitchen (See Top 100 in Home & Kitchen) #298 in Kids' Table & Chair Sets"", 'Date First Available: August 31, 2023']",ce921425-0121-53b8-9ce8-1f455be7c9e8,2024-02-02 18:55:46 +B0751KYGV4,https://www.amazon.com/dp/B0751KYGV4,"Kraftware Grant Signature Home San Remo Pinecone Round Waste Basket, 10.75"", Brown",Kraftware,,Temporarily out of stock.,"['Home & Kitchen', 'Storage & Organization', 'Trash, Recycling & Compost', 'Wastebaskets']",https://m.media-amazon.com/images/I/419nFYjmvGL._SS522_.jpg,['https://m.media-amazon.com/images/I/419nFYjmvGL._SS522_.jpg'],,No,46148,"8""L x 8""W x 11""H","August 22, 2017",USA,Brown,Vinyl,,[],"[{'Brand': ' Kraftware '}, {'Capacity': ' 2 Liters, 3 Liters '}, {'Color': ' Brown '}, {'Opening Mechanism': ' Open-Top '}, {'Material': ' Vinyl '}, {'Shape': ' Round '}, {'Item Weight': ' 1.5 Pounds '}, {'Product Dimensions': ' 8""L x 8""W x 11""H '}]","['The Kraftware Grant Signature Home San Remo Collection Waste Basket in Pinecone sits atop bumpers to avoid any damaging bumps and tumbles. ', ' With a high quality color vinyl covering, waste is no match for this piece. ', ' Made in the USA, this trash recepticle is metal and built to withstand every day use. ', ' The San Remo Collection also includes a serving tray, an oval waste basket, 2-quart ice bucket, and 3-quart ice buckets in the eclipse color. ', ' This waste basket measures 11” H x 8” L x 8” W and is sold individually.']","The Kraftware Grant Signature Home San Remo Collection Waste Basket in Pinecone sits atop bumpers to avoid any damaging bumps and tumbles. With a high quality color vinyl covering, waste is no match for this piece. Made in the USA, this trash recepticle is metal and built to withstand every day use. The San Remo Collection also includes a serving tray, an oval waste basket, 2-quart ice bucket, and 3-quart ice buckets in the eclipse color. This waste basket measures 11” H x 8” L x 8” W and is sold individually.","['Brand: Kraftware', 'Capacity: 2 Liters, 3 Liters', 'Color: Brown', 'Opening Mechanism: Open-Top', 'Material: Vinyl', 'Shape: Round', 'Item Weight: 1.5 Pounds', 'Product Dimensions: 8""L x 8""W x 11""H', 'Item Weight: 1.5 pounds', 'Manufacturer: Kraftware', 'ASIN: B0751KYGV4', 'Country of Origin: USA', 'Item model number: 46148', 'Best Sellers Rank: #4,966,761 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,839 in Wastebaskets', 'Is Discontinued By Manufacturer: No', 'Date First Available: August 22, 2017']",7f277423-0559-534a-9d81-3e99b4e1626d,2024-02-02 18:55:47 +B0BGN333H4,https://www.amazon.com/dp/B0BGN333H4,"Alise Bath 3 Towel Bars,Towel Holder Towel Racks for Bathroom Wall Mount,Heavy Duty SUS304 Stainless Steel Towel Hanger Towel Rails,GK9603-B Matte Black,25-Inch",Alise Store,$41.99,In Stock,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/41frWw+ttRL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41frWw+ttRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5126qHXlkIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51U-MDkw9HL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/518r61BCEML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51C0bZF3nhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51TBBCYwdpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mtpaNNdYL._SS522_.jpg']",,Alise,GK9603-B,"25""L x 6.7""W x 3.8""H","September 28, 2022",China,Matte Black,"Stainless Steel, Metal",,[],"[{'Color': ' Matte Black '}, {'Material': ' Stainless Steel, Metal '}, {'Product Dimensions': ' 25""L x 6.7""W x 3.8""H '}, {'Finish Type': ' Matte '}, {'Brand': ' Alise '}, {'Installation Type': ' Screw-In '}, {'Shape': ' Straight '}]","['【SUS304 stainless steel】The towel rack constructed of SUS304 stainless steel; hi-q steel material features high hardness, corrosion and rust resistance, strong and durable properties ensure long service life. ', ' 【Matte Black Finish】The towel hanger is finished by ultra high temperature matte black spraying technology, black surface is smooth and beautiful, not easy to oxidation, fading and paint off ', ' 【Practical 3-Bars Design】Unique up and down 3 bars design, large storage space for towels, perfect curvature to ensure that the towel can be easily hung on it, but also ensure the overall aesthetic and practical ', ' 【Widely Used】The bath towel bars available in a variety of different sizes and colors, you can install it in the bathroom, toilet, kitchen, over the door, bedroom, balcony, cloakroom, laundry room, corridor and so on, wherever you want ', ' 【Easy Installation】All installation hardware and instructions are included in the towel holder package, and you can mount it easily for a few minutes by simply installing the instructions.']",,"['Color: Matte Black', 'Material: Stainless Steel, Metal', 'Product Dimensions: 25""L x 6.7""W x 3.8""H', 'Finish Type: Matte', 'Brand: Alise', 'Installation Type: Screw-In', 'Shape: Straight', 'Item Weight: 2 pounds', 'Manufacturer: Alise', 'ASIN: B0BGN333H4', 'Country of Origin: China', 'Item model number: GK9603-B', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 884 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #9,987 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #44 in Bath Towel Bars', 'Date First Available: September 28, 2022']",f7f497fa-e874-5af1-9507-90625430cef7,2024-02-02 18:55:47 +B08TTKV6LY,https://www.amazon.com/dp/B08TTKV6LY,"Round Mirror, Black Round Mirror 24 Inch, Round Wall Mirror, Round Bathroom Mirror, Circle Mirrors for Wall, Metal Framed Mirror for Bathroom, Vanity, Bedroom, Entryway, Hallway",Decoccino Store,,,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/41igYIRb2fL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41igYIRb2fL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41TqASXalnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41oiSdnFB0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4100jrCG2PL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41IP+Xhmp1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41b2UBw58VL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ITuMaiFZL._SS522_.jpg']",,,,24 x 1 x 24 inches,,,Black,Metal,Modern,[],"[{'Brand': ' Decoccino '}, {'Room Type': ' Entryway, Bathroom, Bedroom, Living Room '}, {'Shape': ' Round '}, {'Product Dimensions': ' 24""L x 24""W '}, {'Frame Material': ' Metal '}]","['Round Bathroom Mirror: This 90% glass, 10% steel mirror boasts a durable black steel frame that resists flaking, cracking, and water damage more effectively than aluminum. ', ' 24 inch Round Mirror: Featuring 5-layer float technology, our mirror provides a crystal-clear, 1:1 reflection with over 95% high reflectivity. Safe and durable, it comes with an explosion-proof film for added protection. ', ' Metal Frame Mirror: This well-crafted black mirror showcases a premium metal frame that is lightweight, waterproof, and non-rusting, and adds a sophisticated touch to any space. ', ' Versatile Round Vanity Mirror: With its simple and modern design, this adaptable mirror complements any decor and is ideal for various areas, such as the bathroom, living room, bedroom, entryway, office, vanity room, or rustic/farmhouse settings. ', ' Easy Mirror Installation: The package includes hanging hardware and a user manual for effortless wall mounting. ', ' Professional Packaging: Rigorously tested to ensure perfect condition upon delivery, our mirrors are packaged with care. If you encounter any defects, please contact us, as your satisfaction is our top priority.']",,"['Room Type: Entryway, Bathroom, Bedroom, Living Room', 'Mounting Type: Wall Mount', 'Surface Recommendation: Glass', 'Special Feature: Rustproof, Unbreakable, Shatterproof', 'Frame Type: Round Framed', 'Frame Material: Metal', 'Finish Type: Matte', 'Material: Metal', 'Shape: Round', 'Style: Modern', 'Color: Black', 'Theme: Modern', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 409 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #722,560 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,128 in Wall-Mounted Mirrors', 'Brand: Decoccino', 'Number of Pieces: 1', 'Number of Items: 1', 'Product Dimensions: 24""L x 24""W', 'Item Weight: 8.26 Pounds', 'Item Dimensions LxWxH: 24 x 1 x 24 inches', 'Assembly Required: No']",5fb1fa85-a59b-5617-866c-899ef9c50c1d,2024-02-02 18:55:48 +B0BWXB7C1B,https://www.amazon.com/dp/B0BWXB7C1B,"Gexpusm Wood Coffee Table, Natural Wood Coffee Table, Solid Wood Center Large Coffee Table for Living Room (Octagonal Coffee Table)",Gexpusm Store,$149.99,Only 15 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'Coffee Tables']",https://m.media-amazon.com/images/I/51xwMLJtrtL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51xwMLJtrtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31CVOWsKNGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51glpQnnwHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51LXwv6aILL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VTd5ucBbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41bcRRbjx4L._SS522_.jpg']",,,,"31.5""D x 31.5""W x 16.93""H",,,Octagonal Coffee Table,Wood,4 independent iron legs,[],,"['【All solid wood and Sturdy】Gexpusm coffee table is made of solid wood, whether it is table legs or table top, it ensures structural stability and can move freely. Coffee table surface is decorated with white lime to effectively extend its service life. ', ' 【Space Saving】This low table with a desktop diameter of 31.4""and a height of 16.93"", is suitable for placing in the middle of the living room, study, game room and bedroom. The coffee table for living room would\'t take up too much space in your apartment, which is very suitable for storing daily necessities. ', "" Large storage space: Enjoy your coffee time as our generous storage coffee table gives you an amazing usable area! Don't worry about messy items anymore, everything is under control. Whether storing magazines, remote controls, or placing snacks and drinks, this coffee table will become a powerful assistant in your home life. Easily solve the storage problem of items, and at the same time increase the tidiness and beauty of your space. Choose our storage space coffee table to create a more spacious and comfortable home environment for you! "", ' Farmhouse Coffee Table: The top of this coffee table is made of solid wood with natural wood texture, and the legs are made of iron to bring you visual enjoyment. The solid wood surface material is natural and rustic, practical and durable, scratch-resistant, waterproof and easy to clean. ', ' Easy Assebly: Packages comes with preassembled 1 boards, 4 legs, hardware packs and manual. You can simply finish installation for the coffee within 10 mins. ', ' TIPS: After purchase, if there is a problem with the product during transportation, it can be returned and exchanged, and the warranty is 1 months.']",,"['Brand: Gexpusm', 'Shape: Octagonal', 'Room Type: Living Room', 'Included Components: Installation Tool', 'Color: Octagonal Coffee Table', 'Furniture Finish: Manual splicing', 'Model Name: CT-533-WD', 'Model Number: CT-533-WD', 'Age Range (Description): Adult', 'Target Gender: Unisex', 'Best Sellers Rank: #4,252,564 in Home & Kitchen (See Top 100 in Home & Kitchen) #7,236 in Coffee Tables', 'Special Feature: Easy Assembly', 'Mounting Type: Wall Mount', 'Base Type: Legs', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 31.5""D x 31.5""W x 16.93""H', 'Item Width: 31.5 inches', 'Size: Large', 'Item Weight: 24.36 Pounds', 'Maximum Weight Recommendation: 30 Pounds', 'Frame Material: Wood', 'Top Material Type: Wood', 'Product Care Instructions: Wipe with Dry Cloth', 'Style: Bohemian', 'Table design: Coffee Table', 'Theme: Round Coffee Table', 'Pattern: stitching pattern', 'Leg Style: 4 independent iron legs', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Recommended Uses For Product: living room']",77d145c8-f7db-5b68-a1b8-ed082cbda5fd,2024-02-02 18:55:49 +B0BLP4W97Y,https://www.amazon.com/dp/B0BLP4W97Y,"Karl home Accent Chair Mid-Century Modern Chair with Pillow Upholstered Lounge Arm Chair with Solid Wood Frame & Soft Cushion for Living Room, Bedroom, Belcony, Beige",Karl home Store,$149.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/51+a05Mxh+L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51+a05Mxh+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/416RITk0JlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Robs5eNQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51bwBoeKC6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31K7236ZHsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41D5JaQbtZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A1c-pY9UCTL.SS125_SS522_.png']",,Karl home,KHMAC1583,"32.3""D x 25.6""W x 29.5""H","November 7, 2022",,Beige,,Mid-Century Modern,[],,"['MID-CENTURY CHARMING - Designed with curved arms and flared legs, this accent chair with extra pillow is full of mid-century style charming. The beige color of fabric with natural wood color of frame is a nice combination, which is suitable for any style of your home decorations. ', ' HUMANIZED DESIGN - The ergonomic angle of the backrest and armrest is aimed for good relax when sitting and putting your arms on. Comfortable linen fabric with high-density sponge inside, enough back support, soft back pillow, and solid wood frame bring maximum comfort & cozy. ', ' PREMIUM MATERIAL - Finished with solid wood frame, this lounge chair provides a sturdy structure and holds up to 330lbs. High-density sponge and breathable linen fabric cover of the cushion make it comfortable and skin friendly. ', ' WIDE APPLICATIONS - It is a leisure sofa that brings a place to get more comfort while watching videos, playing games, reading books, or relaxing in front of the fireplace. Performs well in the living room, bedroom, balcony, porch, or other places you like. ', ' PURCHASE WITH CONFIDENCE - Overall dimension is 25.6""L x 32.3""W x 29.5""H. In case you receive product with any flow or damageds, feel free to contact us with pictures for a kindly check. It will save your time that we find the problem and provide the solutions.']","Karl home Accent Chair Mid-Century Modern Chair with Pillow Upholstered Lounge Arm Chair with Solid Wood Frame & Soft CushionThis modern accent chair provides a sturdy structure with a solid wood frame and allows you to enjoy private time with a high-sponge and breathable linen fabric cover of the cushion. Karl home armchair not only works functionally but adds exquisiteness to your space and creates a home feeling and elegant vibes. Ergonomically designed, a leisure sofa brings a place to get more comfort while watching videos, playing games, reading books, or relaxing in front of the fireplace.Specifications:1. Material: Solid Wood & Linen Fabric2. Color: Beige3. Dimensions: 25.6""L x 32.3""W x 29.5""H4. Weight Capacity: 330 lb / 150 kg5. Weight: 30.86lbs / 14kgPackage Includes:1 x Lounge Chair1 x Assembly Manual1 x Accessory Bag","['Brand: Karl home', 'Color: Beige', 'Product Dimensions: 32.3""D x 25.6""W x 29.5""H', 'Size: 25.6""L x 32.3""W x 29.5""H', 'Special Feature: Premium,Sturdy', 'Product Care Instructions: Wipe Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Bedroom,Living Room,Lounge', 'Maximum Weight Recommendation: 330 Pounds', 'Style: Mid-Century Modern', 'Pattern: Solid', 'Room Type: Balcony, Living Room, Bedroom, Reception Room, Apartment', 'Age Range (Description): Adult', 'Included Components: Chair', 'Shape: Rectangular', 'Model Name: KHMAC1583', 'Surface Recommendation: Indoor', 'Seat Back Interior Height: 17.3 Inches', 'Furniture base movement: Glide', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Upholstered', 'Furniture Finish: Wood', 'Seat Height: 16.1 Inches', 'Seat Depth: 1 inches', 'Arm Height: 22 Inches', 'Item Weight: 1 pounds', 'Manufacturer: Karl home', 'ASIN: B0BLP4W97Y', 'Item model number: KHMAC1583', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 307 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #14,864 in Home & Kitchen (See Top 100 in Home & Kitchen) #5 in Living Room Chairs', 'Date First Available: November 7, 2022']",fe25ae1d-4a82-57ad-9bab-b9de4321fd0b,2024-02-02 18:55:50 +B0BJ1Y5TDN,https://www.amazon.com/dp/B0BJ1Y5TDN,"Kottova Vanity Mirror with Lights,Makeup Mirror Tabletop,Hollywood Mirror with Phone Holder,9 LED Dimmable Bulbs, 3 Color Modes,Touch Control, 360 Rotation,Detachable 10X Magnification Mirror,Black",Kottova Store,$25.69,,"['Beauty & Personal Care', 'Tools & Accessories', 'Mirrors', 'Makeup Mirrors']",https://m.media-amazon.com/images/I/41Z2VFHxc2L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Z2VFHxc2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Th547WnWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51vR+tGCRSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41KCO6pYqXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5129SKvk3QL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41KhfZjX09L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51LL0p8sj3L._SS522_.jpg']",,,,,,,,,,[],"[{'Brand': ' Kottova '}, {'Room Type': ' Bathroom '}, {'Shape': ' Rectangular '}, {'Product Dimensions': ' 9.8""L x 11.8""W '}, {'Frame Material': ' Metal '}]","['【Upgraded Adjustable Brightness & 3 Lighting Modes】There are 9LED bulbs around the lighting vanity mirror, and the 3 adjustable ranges are from cool white to warm yellow (3500-7000K). protecting your eyes. The brightness can be adjusted to meet your personal makeup needs. High lumen and life of more than 50,000 hours ', ' 【Mirrors with Smart Touch Control & Memory Function】The illuminated vanity mirror is controlled by dimmable sensitive smart touch buttons. The ""M"" button on the left is used to change the light mode, the middle button is used to turn on and off, and the ""P"" button on the right is used to adjust the brightness. The memory function can keep the light settings just like the last time it was used ', ' 【Mirrors with Versatile Design】The makeup mirror has a detachable phone holder, making it easy to watch TV shows or makeup tutorials while doing your makeup, saving you time and providing a seamless beauty routine. ', ' 【Mirrors with 1X & 10X Magnification】The mirror has two options for magnification: 1X for a full-face view and a bonus detachable round mirror with 10X magnification for precise application of makeup. ', ' 【Mirrors with 360 Swivel Mirror】The mirror sits on a tabletop and can be rotated 360 degrees for the perfect angle. With 360 degrees of freedom, you can adjust the reflection angle to your convenience and comfort.']",,[],ec2fa386-d456-5162-a194-ae35de162291,2024-02-02 18:55:50 +B078YDGBM8,https://www.amazon.com/dp/B078YDGBM8,"L.R. Resources Corcovado Metallic Braided Pouf Ottoman, 14"" x 20"", Grey/White",LR Home Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Poufs']",https://m.media-amazon.com/images/I/51QokReEa1L._SS522_.jpg,"['https://m.media-amazon.com/images/I/51QokReEa1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/518TZi5kWYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51R-yeDYcmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Ny0OsBcPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51YcmulAHcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51lilwmlkRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51N-fEd-nFL._SS522_.jpg']",,LR Resources,SE701,"20""D x 20""W x 16""H",,,Grey / White,Cotton,Bohemian,[],,"['50% Cotton, 50% Jute ', ' Carefully handmade by skilled craftsmen in India ', ' Made of 50% cotton and 50% jute, natural fibers that make this pouf an eco-friendly and sustainable choice ', ' Sewn closure adds strength to the pouf and helps prevent it from tearing or falling apart, even with frequent use ', ' Ideal for transitional, bohemian, and eclectic-themed settings Lightweight and can be easily moved from one room to another ', ' Durable enough to support weights up to 300 lbs. PLEASE NOTE: Digital images and colors may vary due to differences in computer monitors and mobile phones. Measurements are approximate and patterns may vary slightly according to shape and size selected.']","Level up your home decor game with this stylish and practical indoor pouf. Handmade in India, it features a unique blend of 50% cotton and 50% jute materials, creating a piece that is both soft and strong. Filled with EPS balls, the pouf provides excellent support and comfort, making it perfect for use as a seat or a footrest. The combination of striped and braided patterns adds visual interest, making it a standout addition to any space it occupies.","['Product Dimensions: 20""D x 20""W x 16""H', 'Color: Grey / White', 'Brand: LR Home', 'Fabric Type: 50% Cotton, 50% Jute', 'Frame Material: Cotton', 'Seat Height: 20 Inches', 'Product Care Instructions: Spot Clean', 'Maximum Weight Recommendation: 302 Pounds', 'Size: 20"" x 20"" x 14""', 'Style: Bohemian', 'Item Weight: 5 pounds', 'Manufacturer: LR Resources', 'ASIN: B078YDGBM8', 'Item model number: SE701', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 381 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #916,348 in Home & Kitchen (See Top 100 in Home & Kitchen) #196 in Poufs', 'Form Factor: Upholstered', 'Number of pieces: 1', 'Warranty Description: No warranty.', 'Batteries required: No', 'Included Components: Pouf']",be6521c8-bac7-571c-a20b-3df58ff669ef,2024-02-02 18:55:51 +B09M8M4P9L,https://www.amazon.com/dp/B09M8M4P9L,"GREENSTELL Coat Rack, Wooden Coat Rack Freestanding with Shelf, Coat Tree with 4 Height Options 50.5""-72.6"" for Clothes/Bag/Hats, Hanger Stand for Entryway/Living Room/Bedroom/Office, Black",GREENSTELL Store,$42.99,In Stock,"['Home & Kitchen', 'Furniture', 'Entryway Furniture', 'Coat Racks']",https://m.media-amazon.com/images/I/31lWN-XSfCL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31lWN-XSfCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41AS6rJRgML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VdsW37PmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41--p2kfUzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ZhnNPQLHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/518GlSRz7ML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71MzAIrf0QL.SS125_SS522_.jpg']",,Greenstell,Greenstell-GR007-BK-GL,"12.99""D x 12.99""W x 72.64""H","March 30, 2022",,Black,Wood,Rustic,[],"[{'Brand': ' GREENSTELL '}, {'Color': ' Black '}, {'Material': ' Wood '}, {'Recommended Uses For Product': ' Coats '}, {'Product Dimensions': ' 12.99""D x 12.99""W x 72.64""H '}]","['Coat Tree Free Standing with Shelf & 8 Hook---Multifunctional Storage: Greenstell\'s multi-functional standing coat rack is equipped with a tray with a radius of 13"" and 8 hooks. Great for hanging coats, bags and hats, but you can also put your phones , glasses, headphones, keys and other items in our tray, the lip around the tray is designed to protect the items from falling. ', ' High-quality solid wood Hall Tree Coat Rack with 4 optional heights: Our entire coat rack with shelves is made of solid wood, which is durable and sturdy. The maximum load capacity is 22Lbs/10Kg, and the maximum load capacity of the hook is 6.6Lbs/3Kg. Our free-standing coat rack can be installed in four different heights (respectively: 50.5”, 56.3”, 66.7”, 72.6”), and children can also have their own exclusive kid coat rack. ', ' Humanized Design - Just to Protect You and Your Clothes: We added anti-slip devices to the bottom of our clothes rack. If you are installing it for kids, we also have an anti-toppling device to ensure that it will not fall over. On the top of the hook, we have made a rounded top design, thus protecting your clothes and your hats. We work hard on every detail to create a better experience just for you. ', ' Multi-scenario Use--Just to Make Your Home or Office More Tidy: Our modern coat rack can store all of your daily clothes, bags, hats, scarves, gloves and other clothes, as well as mobile phones, keys, wallets and other personal belongings. You can put it in the hallway, bedroom, cloakroom, office and other places, it is definitely a perfect coat rack with storage. After entering the home or office, leave everything there to stay organized. ', ' Easy to Install: We prepare detailed installation instructions and all installation accessories for you, and you can easily assemble a perfect sturdy coat rack in just 10 minutes.']",,"['Brand: GREENSTELL', 'Color: Black', 'Material: Wood', 'Recommended Uses For Product: Coats', 'Product Dimensions: 12.99""D x 12.99""W x 72.64""H', 'Installation Type: Free Standing', 'Special Feature: Portable, Easy to Install, Extra Height, Adjustable, Contact Points', 'Style: Rustic', 'Finish Type: Polished', 'Number of Shelves: 1', 'Furniture Finish: Wooden', 'Frame Material: Wood', 'Assembly Required: Yes', 'Item Weight: 6.61 Pounds', 'Maximum Weight Recommendation: 22 Pounds', 'Manufacturer: Greenstell', 'Part Number: Greenstell-GR007-BK-GL', 'Item Weight: 6.61 pounds', 'Item model number: Greenstell-GR007-BK-GL', 'Size: H: 50.5""-72.6""', 'Finish: Polished', 'Pattern: Tree', 'Shape: Straight', 'Item Package Quantity: 1', 'Number Of Pieces: 1', 'Special Features: Portable, Easy to Install, Extra Height, Adjustable, Contact Points', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B09M8M4P9L', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 522 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #19,333 in Home & Kitchen (See Top 100 in Home & Kitchen) #16 in Coat Racks', 'Date First Available: March 30, 2022']",29fbb52e-67a0-5d5c-9d95-f560cdb6b7c3,2024-02-02 18:55:52 +B0BWY1HPMB,https://www.amazon.com/dp/B0BWY1HPMB,"COLLECTIVE HOME Mail Organizer with Mirror, Wall Pocket, Wood Wall Hanging Decor, Wooden Mail Holder, Collect Beautiful Moments, Decorative Accent Mirror for Foyer, Bathroom, Bedroom. (Black)",COLLECTIVE HOME Store,$24.99,In Stock,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/510ciQYiY4L._SS522_.jpg,"['https://m.media-amazon.com/images/I/510ciQYiY4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VtgORTFhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512fnREtC7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/513jheR7WvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51mzZ74n0YL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/311X-ChlMqL._SS522_.jpg']",,,,"9.75""L x 9.75""W",,,White,Black,Rustic,[],"[{'Brand': ' COLLECTIVE HOME '}, {'Shape': ' Round '}, {'Product Dimensions': ' 9.75""L x 9.75""W '}, {'Frame Material': ' Glass, Engineered Wood '}, {'Style': ' Rustic '}]","['【Dimensions】: This wall-mounted mirror measures 9.75"" x 9.75"", 1.88 inches thick. ', ' 【Material】: The product is made of glass, MDF. ', ' 【Design】: The overall shape adopts a circular shape, the upper part is a mirror, and the lower part is a storage, with ""collect beautiful moments"" written on it. With hooks on the back, you can easily hang it on the wall. In the storage box, you can put combs, keys, notebooks, pens and other daily needs, and you can also put some flowers to decorate your room. ', "" 【Perfect Gift】:This beautiful wall decor mirror is perfect as a gift for friends, relatives, colleagues as a birthday, Christmas, Mother's Day or housewarming gift. "", ' 【Buy It at Ease】If you have any questions, don’t worry, feel free to contact us, we will respond within 24 hours!']","【Buy It at Ease】If you have any questions, don’t worry, feel free to contact us, we will respond within 24 hours!","['Mounting Type: Wall Mount', 'Frame Type: Framed', 'Frame Material: Glass, Engineered Wood', 'Material: Black', 'Product Dimensions: 9.75""L x 9.75""W', 'Item Weight: 1.6 Pounds', 'Assembly Required: No', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 2 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #5,374,061 in Home & Kitchen (See Top 100 in Home & Kitchen) #12,927 in Wall-Mounted Mirrors', 'Brand: COLLECTIVE HOME', 'Number of Pieces: 1', 'Number of Items: 1', 'Shape: Round', 'Style: Rustic', 'Color: White', 'Theme: Country,Rustic,Farmhouse']",adab56e1-c763-5991-9a14-7d7ca6529167,2024-02-02 18:55:52 +B0C6K8LMG8,https://www.amazon.com/dp/B0C6K8LMG8,"Nightstand with Charging Station and LED Light, Side End Table with Glass Door, Modern Bedside Table for Bedroom, Living Room",LAATOOREE Store,$69.99,In Stock,"['Home & Kitchen', 'Furniture']",https://m.media-amazon.com/images/I/41Co0zmXyyL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Co0zmXyyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ePbRjTAUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Rx15GKghL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VL3OkLoFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/418eL9JyMaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51vvHCqCf9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41SzY7H+mxL._SS522_.jpg']",,,,"14.96""D x 10.63""W x 23.62""H",,,Black,"Glass, Engineered Wood",With power outlet,[],,"['Nightstand with LED light : The nightstand with adjustable RGB color LED light. There are 20 colors, 5 levels of brightness and 10 levels of speed. Controlled by infrared remote control, you can change and adjust the color easily ', ' Bedside table with Charging Station: The convenient charging station includes 2 AC outlets, and 2 USB ports, which allow you to charge mobile devices such as phones, Lamp, ipad ', ' More than a nightstand: This table also can be used as sofa side table, end table, perfect for bedroom, living room ', ' Multi-function Storage: The nightstand with 1 flip glass door for some privacy storage and 1 open tabletop and bottom compartment for displaying some arts and daily use. ', ' Sturdy & Stable: The Modern nightstand is constructed with Particle board body and glass door, keep the side table sturdy and stable.']",,"['Brand: LAATOOREE', 'Shape: Rectangular', 'Room Type: Bedroom', 'Included Components: Assembly Guide, Installation Tool', 'Color: Black', 'Model Name: NIGHTSTAND001', 'Model Number: LNS001', 'Customer Reviews: 3.8 3.8 out of 5 stars \n 33 ratings \n\n\n 3.8 out of 5 stars', 'Best Sellers Rank: #185,235 in Home & Kitchen (See Top 100 in Home & Kitchen) #15,934 in Furniture', 'Special Feature: 充电站', 'Base Type: Legs', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 14.96""D x 10.63""W x 23.62""H', 'Item Width: 10.63 inches', 'Item Weight: 12.79 Pounds', 'Maximum Weight Recommendation: 100 Pounds', 'Number of Items: 1', 'Unit Count: 1.0 Count', 'Frame Material: Engineered Wood', 'Top Material Type: Glass, Engineered Wood', 'Style: With power outlet', 'Table design: Nightstand', 'Pattern: Solid', 'Assembly Required: Yes']",7ea6beb2-9253-55a7-89fa-7e29e0d5d8bd,2024-02-02 18:55:53 +B0CGXJ3VR7,https://www.amazon.com/dp/B0CGXJ3VR7,"Kmitmuk 2 Pack Cabinet Towel Holder, White Kitchen Towel Rack Stainless Steel Towel Bar Universal Fit On Cupboard Doors",KMITMUK,$11.79,Only 11 left in stock - order soon.,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/21b4+99Ox0L._SS522_.jpg,"['https://m.media-amazon.com/images/I/21b4+99Ox0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31nIy3APm8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/419NU31Kc6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31uMDSKDKuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21-IR7g-QcL._SS522_.jpg']",,KMITMUK,,9.25 x 1.72 x 1.96 inches,"August 30, 2023",,,,,[],"[{'Color': ' White '}, {'Material': ' Stainless Steel '}, {'Product Dimensions': ' 9.25""L x 1.72""W x 1.96""H '}, {'Finish Type': ' Polished '}, {'Brand': ' KMITMUK '}]","['Package Includes: There are 2 packs of over cabinet towel bar racks. Our over door towel bar can be easily stored and neatly arranged, making it a great storage assistant for you. ', ' Rustproof & Sturdy: Our cabinet towel holder is constructed with high-quality stainless steel that is rustproof and sturdy. The polished surface treatment prevents rust and corrosion, ensuring your towels stay dry and clean. ', ' Wide Use: Our stainless steel towel hanger will create an instant towel rack in the kitchen, bath, laundry rooms, utility rooms, garages, offices, garages, or shops. Take this adjustable towel rack for door home, it will bring you great convenience to your life. ', ' Unique Design: The hanging hook of towel rack has undergone passivation treatment, with rounded and smooth edges and corners, which are not easy to scratch hands. At the same time, the hanger hook and the rod body have undergone welding treatment, which has good load-bearing capacity and is not easy to fall off. ', "" No Drilling Installation: Our kitchen towel rack offers a hassle-free installation process. Simply hang it over your cabinet door, and it's ready to use. No tools or screws needed.""]","Product Advantage: The back of our towel rack is designed with EVA double-sided adhesive to to protect your door from scratches and damage during everyday use. Specifications: - Product Name: Cabinet Towel Holder - Material: Stainless Steel - Color: White - Surface Treatment: Sand Surface - Total Length: 235mm/ 9.25 Inch - Diameter: 13mm/ 0.51 Inch - Hanger Hook Length: 12mm/ 0.47Inch - Hanger Hook Width: 23mm/ 0.90Inch - Total Weight: 5.34 Ounces - Style: Modern, Minimalist Package Content: 2 Pack x Cabinet Towel Holder Note: Please check if the product type meets your requirements before purchasing. We will provide you with high-quality service, allowing you to have a pleasant shopping experience.","['Product Dimensions: 9.25 x 1.72 x 1.96 inches', 'Item Weight: 5.3 ounces', 'Manufacturer: KMITMUK', 'ASIN: B0CGXJ3VR7', 'Best Sellers Rank: #866,408 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #3,172 in Bath Towel Bars', 'Date First Available: August 30, 2023']",0506ecfb-1a1b-563f-b2cf-b249c5d267f2,2024-02-02 18:55:54 +B01FL46UD0,https://www.amazon.com/dp/B01FL46UD0,"GIA Toolix Backless Stool with Metal Seat, Gunmetal, 4-Pack",GIA Store,,,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/41mgAYeNExL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41mgAYeNExL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31sOzOKKLYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31NpMSRY6ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+xljm1IbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51tzlnbB75L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61n67-SO1uL._SS522_.jpg']",,No,TOOLIX_SET_4_GM,"16""D x 16""W x 24""H",,,Gunmetal,,Tapered,[],,"['100% Metal ', ' 24-Inch Metal Stools, Set of 4 ', ' Durable Enough For Use In The Shop and Stylish Enough For In the Home ', ' Easily And Neatly Stack Together; Rubber Feet Keep Stools From Sliding And Scratching Hardwood Floors ', ' Made Of An Iron Alloy, Sturdy & Light ', ' Strong Enough To Support 300 lbs But Only Weigh 9.9 lbs Each']","These counter height 24"" metal stools by GIA are durable enough for use in the shop and stylish enough to use in the kitchen, game room, bar, basement, dorm room, or loft. The modern industrial look of the stools will perfectly complement the city chic minimalist, the hard-working machinist, and everyone in between. Ideal for small spaces, the barstools easily and neatly stack together, making them easy to stash out of the way for storage. A handle in the seat makes the stools easy to pick up and move. Made of an iron alloy, these stools are sturdy and light. Each stool weighs only 9.9 lbs., but is strong enough to support 300 lbs. Each metal stool has a brace under the seat that provides additional support and stability. Rubber feet keep the stools from sliding and scratching floors. The barstools have a scratch-resistant powder coat paint finish. Each stool stands 24 inches tall with a seat measuring 12x12 inches, and a base at the legs measuring 16x16 inches.","['Product Dimensions: 16""D x 16""W x 24""H', 'Color: Gunmetal', 'Brand: GIA', 'Size: 4-Pack', 'Style: Metal Stool, Metal Seat, 4-pack', 'Furniture Finish: Metal', 'Seat Height: 24 Inches', 'Leg Style: Tapered', 'Maximum Weight Recommendation: 300 Pounds', 'Product Care Instructions: Spot Clean, Wipe with Damp Cloth', 'Assembly Required: No', 'Number of Pieces: 4', 'Item Weight: 36.1 pounds', 'Manufacturer: GIA', 'ASIN: B01FL46UD0', 'Item model number: TOOLIX_SET_4_GM', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 41 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #1,834,317 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,942 in Barstools', 'Is Discontinued By Manufacturer: No', 'Fabric Type: 100% Metal', 'Finish types: gunmetal', 'Batteries required: No', 'Included Components: Stool, Hardware Kit, Tools, Instructions']",3e0fd88f-4a97-5379-becb-62829cfdbca7,2024-02-02 18:55:54 +B08CR34X1X,https://www.amazon.com/dp/B08CR34X1X,"It's_Organized Gaming Desk 55 inch PC Computer Desk, K-Frame Home Office Desk Professional Gamer Workstation with Cup Holder Headphone Hook Gaming Handle Rack Free Mousepad, Black",It's_Organized Store,$139.99,Only 1 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Desks']",https://m.media-amazon.com/images/I/41oiXo1q4wL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41oiXo1q4wL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51DfbS-+f7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41gnplOi2ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51XIMYFyAbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31YH-8pIMHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gzRVX+2NL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mnzLAahPL.SS125_SS522_.jpg']",,,,"24""D x 55""W x 30""H",,,Black,Alloy Steel,Gaming,[],,"['【Large Carbon Fiber Texture Desktop】 This 55 inch gaming computer desk that meets all your demands. Offering smooth surfaces, breathtaking texture, and plenty of space both on and under the desk, keeping you comfortable at all times. ', ' 【Super Large Desktop Surface】 This 55 inch gaming computer desk has super large 55""L x 24""W x 30""H dimension, It allows this computer desk to support 2 monitors, screens, printer, plants etc;it provides ample space for computer, writing, study and other home office activities. It is the perfect addition to your study room, bedroom or office, to serve as a computer desk, office workstation, study table, writing or gaming desk. ', ' 【 Sturdy Steel K-Frame Structure Design】 K-frame design desk legs provide more support and ensures stability and durability. Adjustable foot pads suit the uneven ground to strengthen comfort. ', "" 【Free Added Features】 To offer an above and beyond gaming experience, It's_Organized added many free features: surper large mouse pad headphone hook, controller rack and cup holder. With all these bonuses, gaming has never been easier and more organized. "", ' 【Quick Response Customer Service】Efficiency and profession is our commitment to every customer, and every order has 30-day risk-free guarantee. If you have any issues, please feel free to contact us.']",,"[""Brand: It's_Organized"", 'Age Range (Description): Adult', 'Best Sellers Rank: #967,629 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,833 in Home Office Desks', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 580 ratings \n\n\n 4.6 out of 5 stars', 'Style: Gaming', 'Color: Black', 'Room Type: Office, Bedroom', 'Shape: K-Shape', 'Desk design: Computer Desk', 'Assembly Required: Yes', 'Recommended Uses For Product: Working, Writing, Gaming', 'Target Gender: Unisex', 'Included Components: Cable Management Tray', 'Finish Type: Laminated', 'Furniture Finish: Black', 'Base Material: Alloy Steel', 'Product Dimensions: 24""D x 55""W x 30""H', 'Size: 55""', 'Item Weight: 35 Pounds', 'Maximum Weight Recommendation: 300 Pounds', 'Special Feature: gaming desk', 'Mounting Type: Freestanding, found in image']",e1988a1e-6fc2-5fbd-ae77-f7a836e2c2d8,2024-02-02 18:55:55 +B07644FZVS,https://www.amazon.com/dp/B07644FZVS,"Serta Executive Office Padded Arms, Adjustable Ergonomic Gaming Desk Chair with Lumbar Support, Faux Leather and Mesh, Black/Blue",Serta Store,,,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Home Office Chairs', 'Home Office Desk Chairs']",https://m.media-amazon.com/images/I/41ZBS1hvHzL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41ZBS1hvHzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nb6z1VkRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qU18+3ibL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41uJidYdaeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nTMnkh5eL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51fVwfR843L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ln3niCP2L.SS125_SS522_.jpg']",,"Millwork Holdings Co., Inc.",43673B,"28""D x 26""W x 46""H",,,Black/Blue,Foam,with-arms,[],,"['COMFORT MEETS PRECISION: Sleek office chair designed with gamers and programmers in mind ', ' ERGONOMIC SEAT AND LUMBAR SUPPORT: Customized to help reduce stress in back, neck and shoulders ', ' RACE-CAR-INSPIRED DESIGN: Leather upholstery with breathable mesh accents ', ' GREAT FOR WORK OR PLAY: Helps keep you comfortable and relaxed whether you’re working or kicking back ', ' VERSATILE AND MOBILE: Adjustable height settings, convenient swivel design, and rolling casters']","Made with gamers and programmers in mind, this Serta executive office chair delivers deluxe features with a stylish, modern look. This black leather office chair features a specially designed ergonomic seat and a contoured lumbar to provide customized support, improve posture, and reduce stress in the back, neck, and shoulders. The pneumatic seat height adjuster works with a simple weight shift, making it easy to find the right fit for you, while the rolling casters offer smooth portability and movement. Made with faux leather upholstery and breathable mesh accents, this office chair sports a sleek, race-car-inspired design. Whether you’re working on a presentation at the office or booting up a game at home, the Serta ergonomic office chair will make you feel like you’re sliding into the driver’s seat of a high-performance race car.","['Brand: Serta', 'Color: Black/Blue', 'Product Dimensions: 28""D x 26""W x 46""H', 'Size: Executive', 'Back Style: Solid Back', 'Special Feature: Adjustable Height', 'Product Care Instructions: Spot Clean', 'Unit Count: 1 Office Chair', 'Recommended Uses For Product: Office', 'Maximum Weight Recommendation: 275 Pounds', 'Style: Modern', 'Pattern: Padded Arms', 'Finish Type: Faux Leather', 'Room Type: Office', 'Included Components: 1', 'Shape: L-Shaped', 'Model Name: Amplify Executive Office Chair with Padded Arms', 'Arm Style: with-arms', 'Surface Recommendation: Indoor', 'Furniture base movement: Swivel', 'Indoor/Outdoor Usage: Indoor', 'Form Factor: Upholstered', 'Furniture Finish: Faux Leather', 'Fill Material: Foam', 'Item Weight: 39.1 pounds', 'Manufacturer: Millwork Holdings Co., Inc.', 'ASIN: B07644FZVS', 'Item model number: 43673B', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 906 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #93,468 in Home & Kitchen (See Top 100 in Home & Kitchen) #281 in Home Office Desk Chairs', 'Refill: Foam', 'Finish types: Faux Leather', 'Assembly required: Yes', 'Warranty Description: 1-year limited warranty.', 'Batteries required: No']",de8420e9-0b53-5471-9e25-32cdfb012603,2024-02-02 18:55:56 +B0CHMQC63H,https://www.amazon.com/dp/B0CHMQC63H,"KoiHome Wooden Daybed with 2 Storage Drawers, Twin Size Platform Bed Frame, Daybed Twin for Kids Boy Girls Bedroom,Living Room, Office, No Box Spring Needed, Twin Size Day Beds Sofas in Espresso",KoiHome,,In Stock,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Beds, Frames & Bases', 'Beds']",https://m.media-amazon.com/images/I/511irNkgawL._SS522_.jpg,"['https://m.media-amazon.com/images/I/511irNkgawL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41fKQMircFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41q7yGDOiLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51t9HFFCCNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51GzUgPobkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31mzUXcDkwL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31TqO2sac0L._SS522_.jpg']",,,Wood Bed,"77.1""L x 40.7""W x 23.1""H","September 8, 2022",Vietnam,Espresso,,,[],,"['【Built-in Drawers Daybed】 : The daybed is equipped with a pair of drawers. This compact and functional design saves space, increases storage and provides hiding space for clothes and bedtime stories. Roller design makes drawer push out and hide more easily. This twin size bed is both practical and beautiful, and will enhance any bedroom. This will definitely make the best assistant in your bedroom. ', ' 【Multiple Application Scenarios】: The upholstered daybed twin size is widely used. In the room, it is a small platform bed, which is very suitable for small compact rooms. If placed in the office, it can be used as a couch for receiving guests or a temporary rest tool for lying down. This design meets the needs of modern people and can definitely bring you ultimate convenience. ', ' 【Modern Design Style Twin Size Daybed】: This twin size bed is designed with a clean silhouette and elegant tones. It adds a modern and timeless style spark to any room. Contemporary design with clean lines that complement any decor. This daybed is definitely a great addition to your bedroom. ', ' 【Clean Lines & High Quality Daybed】: The daybed twin size is made of high-quality pine wood and MDF, All of the wood pieces have a smooth, splinter-free finish on all sides. Featuring clean lines, this girls/boys bed adds a dose of rustic style to your room, elegant and suitable for any room style. Solid and reinforced wood slats provide excellent support, increasing load-bearing capacity and ensuring safe use. No Box Spring Required. ', ' 【Easy Assembly】: Each order comes with a clear and detailed assembly instruction guide . All parts included in your package are indicated clearly and provides all the necessary tools to get your product assembled quickly. If you have any questions, please don’t hesitate to contact one of our friendly customer service representatives.']","The simple and exquisite style also comes with two drawers. It is a very practical single-layer bed. This bed is a good choice in the living room and bedroom. Two large drawers can hold a lot of items and are placed under the bed, saving a lot of space. Drawers with wheels can be placed on both sides of the bed. High-quality materials can make this bed long-lasting and very durable. Description:Material: Pine wood+MDFSize: TwinColor: EspressoDecoration: With two drawersNumbers of Package: 1Spring box: No needAssembly Required: YesOrigin: VietnamWeight & Dimensions:Overall Product Dimension: 77.1''L*40.7''W*23.1''HPackage Dimension: Please refer to the SpecificationBed Dimension: 40.7''x 77.1''Drawer: 36.8'' x 17.6''Total Height: 23.1''Numbers of slat: 8Overall Product Weight: 68.5lbWeight Capability: 250lb Recommended Mattress Thickness: 6''Modern Bed FrameThis bed frame is a minimalistic, stylish bed frame that works well with a variety of decorating styles and makes it easy for you to enhance and improve your space.Feature:- Constructed with durable wood and steel frame with thick foam padding for unique durability and support.- Create beautiful natural textured linen upholstery on a sturdy bed frame. It looks gorgeous and modern.- The mattress can be placed directly on the slats, no box springs needed, you can save more money and time.Rest PeacefullyHigh quality bed frame with strong support for your mattress and a comfortable design.Superior CraftsmanshipDurable construction crafted with care and easy to maintain upholstery.Versatile Style Great for Farmhouse, Transitional, or TraditionalUpdate your bedroom with this beautiful versatile farmhouse, transitional, or traditional style bed frame.","['Size: Twin Size Platform Bed with 2 Storage Drawers', 'Product Dimensions: 77.1""L x 40.7""W x 23.1""H', 'Special Feature: Spindles', 'Color: Espresso', 'Included Components: Bed', 'Brand: KoiHome', 'Furniture Finish: Wooden', 'Assembly Required: Yes', 'Item Weight: 10 pounds', 'Country of Origin: Vietnam', 'Item model number: Wood Bed', 'ASIN: B0CHMQC63H', 'Best Sellers Rank: #3,061,418 in Home & Kitchen (See Top 100 in Home & Kitchen) #7,310 in Beds', 'Date First Available: September 8, 2022']",a8c63d2b-e8f3-5c06-a8d4-33f15bdcbdf3,2024-02-02 18:55:57 +B07X5VSLV1,https://www.amazon.com/dp/B07X5VSLV1,"Soerreo Shoe Slot Storage Box Adjustable Shoe Rack Save Space Suitable for High Low Heels, Sneakers and Sandals (10 Piece Set)",Soerreo,$15.49,In Stock,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Shoe Slots']",https://m.media-amazon.com/images/I/4127YVIANkL._SS522_.jpg,"['https://m.media-amazon.com/images/I/4127YVIANkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41fYsXEAsHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41xIma7qzJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41d4ezoOuTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51W40qzepKL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61NZhW2rPCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61WBPpbYu6L._SS522_.jpg']",,Soerreo,Shoe Slots-1,9.84 x 3.74 x 2.75 inches,"August 27, 2019",China,10 Piece Set,Plastic,Modern,[],"[{'Brand': ' Soerreo '}, {'Color': ' 10 Piece Set '}, {'Material': ' Acrylonitrile Butadiene Styrene '}, {'Recommended Uses For Product': ' Shoes '}, {'Installation Type': ' Free Standing '}]","['【Non Slip ABS Plastic】The Shoe Slots are made of high quality non slip ABS plastic, with great grip for your shoes sole, these slots can hold any shoe footwear outfit and size. Get your shoe pair at a glance, stiletto, high heels, sneakers, slippers or sandals. ', ' [Optimize Space Efficiency] Double-Layer Shoe Rack Design, Now Choose Soerreo Shoe Slot, You Can Save 50% Of Storage Capacity Immediately! Save Space. Make Your Room Look More Tidy And Orderly. ', "" 【NON-SLIP DESIGN】The surface bump processing makes the sole have better grip, so don't worry that the shoes will fall. "", ' 【ADJUSTABLE HEIGT】It’s got a adjustment button at the back,you can change the height very easily within a second. The hollow bars aside the adjuster and the very open structure as a whole make more space for air circulation. Sturdy joints provide firm holding of your beloved shoes. Easy to operate and clean. ', ' We are committed to providing our customers with higher quality products and a comfortable customer experience. If you have any problems with the , please let us know and we will try our best to do our best.']",,"['Brand: Soerreo', 'Color: 10 Piece Set', 'Material: Acrylonitrile Butadiene Styrene', 'Recommended Uses For Product: Shoes', 'Installation Type: Free Standing', 'Special Feature: With Adjustable Shelves', 'Style: Modern', 'Frame Material: Plastic', 'Assembly Required: Yes', 'Item Weight: 2.4 Pounds', 'Maximum Weight Recommendation: 35 Pounds', 'Manufacturer: Soerreo', 'Part Number: Shoe Slots-1', 'Item Weight: 2.4 pounds', 'Product Dimensions: 9.84 x 3.74 x 2.75 inches', 'Country of Origin: China', 'Item model number: Shoe Slots-1', 'Special Features: With Adjustable Shelves', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B07X5VSLV1', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 307 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #76,145 in Home & Kitchen (See Top 100 in Home & Kitchen) #12 in Shoe Slots', 'Date First Available: August 27, 2019']",feca0b89-547f-5bca-9b97-f255c5467e47,2024-02-02 18:55:58 +B0CJV7SF48,https://www.amazon.com/dp/B0CJV7SF48,"Arch Window Wall Mirror for Living Room,White Cathedral Wooden Decorative Arch Windowpane Mirror Large Vintage Farmhouse Mirror",GLCS GLAUCUS Store,$99.99,Only 12 left in stock - order soon.,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/419YPa-PWhL._SS522_.jpg,"['https://m.media-amazon.com/images/I/419YPa-PWhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41IVBtESloL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mYi0-0r1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/310wq4g-jxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41rqrTl4EJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41xIsdE1cHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51XVmxEr+CL._SS522_.jpg']",,,,"36""L x 24""W",,,Black,Wood,French Country,[],"[{'Brand': ' GLCS GLAUCUS '}, {'Room Type': ' Living Room '}, {'Shape': ' Arch '}, {'Product Dimensions': ' 36""L x 24""W '}, {'Frame Material': ' Engineered Wood '}]","['Arch Wall Mirror Size: Wall display dimensions are 24 inches across by 36 inches high by 0.98 inches deep. The large size makes it an easy way to add dimension to your space. ', ' Wood Windowpane Arch Mirror Design：Large Arch mirrors is made of high-quality glass, reflects clear image that gives the best visual experience. It makes the bright light bounce around to provide a second look at your favorite decor mirror.Distressed white farmhouse mirror for a minimal cathedral design. ', ' Easy to Hang: Comes ready to hang with 2 pre-installed D-ring on the back. Perfect to mount in an entry or hallway, living room, bathroom or bedroom. ', ' Arch Wall Mirror for Living Room Use:The windowpane motif of this decor accessory makes it look like an additional window opening at the wall And the curved arches add a vintage farmhouse appeal. Hang in a dining area or any indoor rooms for an added aesthetic that pops. The pursuit of beauty, maintain their love of beauty, to be the most beautiful themselves. ', ' Distressed Finish Handcraft: Since our products has been lightly distressed finish for a vintage feel, this part of process are proudly made in the handwork,so each product looks slightly different. It is recommended to unpack the package and place it in a ventilated place for two days before hanging it.']","Brighten up any room or create the illusion of a larger space with this Distressed White Arched Windowpane Wood Framed Wall Mounted Mirror!Product Specification:Color: Distressed whiteShape: ArchedProduct Care: Wipe clean with soft, dry clothKey Features:* Made of sturdy wood frame and HD glass mirror.* Easy to hang with 2 pre-installed D-ring hangers.* Hangs securely on any surface with 2 metal D-rings on the back or lean it up against a wall on your mantel.* Arched-shaped design, a classic minimalist design gives visible comfort.* The cathedral inspired arched design mirror is an affordable way to decorate your wall while bringing light and space into a room.* Distressed white wall mirror delivers an elegant rustic farmhouse touch, which will be the perfect focal point to any decor.* Perfect to mount in an entry, hallway, living room or bedroom.Warranty:Full refund or free replacement for mirror(s) damaged on arrival, no return is needed.Just send some pictures to us through Amazon Message to show the damaged mirror(s).Feel free to ask us with any questions or concerns and we will be happy to help in less than 24 hours!","['Room Type: Living Room', 'Mounting Type: Wall Mount', 'Surface Recommendation: Glass', 'Special Feature: Window Mirror', 'Frame Type: Framed', 'Frame Material: Engineered Wood', 'Finish Type: Brushed', 'Material: Wood', 'Product Dimensions: 36""L x 24""W', 'Assembly Required: No', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 21 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #913,711 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,658 in Wall-Mounted Mirrors', 'Brand: GLCS GLAUCUS', 'Number of Pieces: 1', 'Number of Items: 1', 'Shape: Arch', 'Style: French Country', 'Color: Black', 'Theme: Vintage']",8e230727-1a1b-547f-a233-3ccc4ef17bdb,2024-02-02 18:55:58 +B0C9FWFGRP,https://www.amazon.com/dp/B0C9FWFGRP,"Jennifer Taylor Home Jacob 18"" Storage Cube Ottoman, Tan Floral Jacquard",Jennifer Taylor Home Store,,Temporarily out of stock.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/51KOhS-ZWZL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51KOhS-ZWZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51XdOLpK3EL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51rreowhDcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511RI4PfCgL._SS522_.jpg']",,"ACG Green Group, Inc.",2319-599,"19""D x 19""W x 18""H","April 27, 2017",China,Tan Floral Jacquard,Engineered Wood,Contemporary,[],,"['Jennifer Taylor Home Natalia Storage Ottoman Nailhead Accent Trim Navy Blue ', ' Bench-made home furnishing products carefully hand built by experienced craftsmen and women ', ' A sturdy frame of kiln-dried solid hardwood and 11-layer plywood for strength and support that will last ', ' Upholstered in high-quality woven fabric atop premium high-density flame-retardant foam for a luxurious medium firm feel']","The Jacob Collection cube storage ottoman by Jennifer Taylor Home is a multi-functional all-star for any space in the home. The seat flips open on sturdy hinges to reveal a storage compartment for storing away toys, blankets, and knick knacks. Place this pouf in a bedroom at the end of a bed, living room as a side table or footrest, or entryway for a perfect seat.","['Product Dimensions: 19""D x 19""W x 18""H', 'Color: Tan Floral Jacquard', 'Brand: Jennifer Taylor Home', 'Fabric Type: Velvet', 'Base Material: Birch', 'Frame Material: Engineered Wood', 'Seat Height: 18 Inches', 'Product Care Instructions: Hand Wash Only', 'Maximum Weight Recommendation: 150 Pounds', 'Assembly Required: No', 'Size: 18 inch', 'Style: Contemporary', 'Item Weight: 11 pounds', 'Manufacturer: ACG Green Group, Inc.', 'ASIN: B0C9FWFGRP', 'Country of Origin: China', 'Item model number: 2319-599', 'Best Sellers Rank: #1,936,209 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,540 in Ottomans', 'Date First Available: April 27, 2017']",a031f165-da10-5a86-8d1b-d281590e33c9,2024-02-02 18:55:59 +B0BWY5RPD1,https://www.amazon.com/dp/B0BWY5RPD1,"C COMFORTLAND Unstuffed Faux Leather Ottoman Pouf, Round Foot Rest Poof Ottomans, Floor Foot Stool Poufs, Bean Bag Cover with Storage for Living Room, Bedroom, Grey (No Filler)",C COMFORTLAND Store,$27.99,Only 10 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Poufs']",https://m.media-amazon.com/images/I/51qAukZMUDL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51qAukZMUDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5165Qs2tqxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/411BjwSPtEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51HkF-V4r8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/519FZWz1eSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51CsOhmyf2L._SS522_.jpg']",,,Pouf,"22.83""D x 22.83""W x 13.98""H","February 27, 2023",China,Grey3,This is an empty shell that you have to stuff.,Modern,[],,"['Great Storage for Space-Saving: Comfortland Ottoman Pouf are shipped UNSTUFFED, this is an empty shell that you have to stuff. You can fill it with old towels, poly fill, bubble pack, cotton batting, fabric remnants, comforters, throw blankets, clothes, plush toys, extra cushion, old pillows, stuffed animals,sleeping bags etc., the unstuffed pouf can takes a lot to save your much more space. ', ' Material & Size: Made of high quality faux suede, this strong and durable material perfectly holds the shape, it\'s easy to clean withstands everyday use. When stuffing finished, the poof ottomans dimension is approximately 23""dia. and 14""high. It depends on filling material, it can takes a lot, the poufs are designed to hold 220lbs. ', ' Multi-Functional: The well made round pouf ottoman gives you a comfortable footstool without getting in the way. Great way to make your couch or chair even more comfortable with added foot stool or footrest for support. It also can be used as a extra seat, ottoman, floor sitting, bean bag chair, floor cushion, side table, storage solution or as décor. ', "" Easy to fill and Invisible Zipper: This pouf has a U zipper to give you a larger opening for easier stuffing. And the thicken zipper teeth is durable and easy for open and close, also it's hidden, so you can don't worry about any scratches on your floor. "", "" Comfort and Accent: This pouf adds style and personality to your space. It can be placed in a bedroom, living room, or other space throughout the home or office. It's easy to move, sturdy & comfortable for sitting in outdoor or indoor. Comfortland pouf is a stylish piece of furniture that accents your space with beauty and functionality. This ottoman has warm, several colors that will soften any space.""]",,"['Product Dimensions: 22.83""D x 22.83""W x 13.98""H', 'Color: Grey3', 'Brand: C COMFORTLAND', 'Fabric Type: Faux Leather, Leath-aire, Pu, Suede, Leatherette', 'Frame Material: This is an empty shell that you have to stuff.', 'Seat Height: 14 Inches', 'Product Care Instructions: Spot clean only', 'Maximum Weight Recommendation: 220 Pounds', 'Assembly Required: Yes', 'Size: Medium (23""Diax14""H)', 'Style: Modern', 'Storage Volume: 0.06 Cubic Meters', 'Item Weight: 1.17 pounds', 'ASIN: B0BWY5RPD1', 'Country of Origin: China', 'Item model number: Pouf', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 261 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #465,482 in Home & Kitchen (See Top 100 in Home & Kitchen) #101 in Poufs', 'Date First Available: February 27, 2023']",55eabd2a-352d-5354-a153-f15dcc657226,2024-02-02 18:56:00 +B0CBDLJ32L,https://www.amazon.com/dp/B0CBDLJ32L,"ZZQXTC Over Toilet Storage Cabinet, Bathroom Storage Cabinet with Doors and Shelves, Wood Metal Bathroom Space Saver Above Toilet, White",ZZQXTC,$129.99,In Stock,"['Home & Kitchen', 'Furniture', 'Bathroom Furniture', 'Over-the-Toilet Storage']",https://m.media-amazon.com/images/I/31cXPz4r76L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31cXPz4r76L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41PNhhUcr2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512+WooGWTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512hkZAcBxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41vBTz-VwfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41C+RfoG18L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/717I+l-hFAL.SS125_SS522_.jpg']",,ZZQXTC,OTCMD002-WH,"11.8""D x 24.8""W x 65.5""H","September 10, 2023",China,Over the Toilet Storage Cabinet White,Wood,wood,[],,"['𝐕𝐞𝐫𝐬𝐚𝐭𝐢𝐥𝐞 𝐃𝐞𝐬𝐢𝐠𝐧: This storage cabinets with doors and shelves, offering the flexibility to create open or concealed storage space. The mesh doors can be assembled up or down according to your usage habits. The adjustable shelf can be customized to accommodate items of different heights, while the top shelf provides a perfect spot for displaying plants. This allows you to efficiently organize and declutter your bathroom, kitchen, laundry room, or any other space. ', ' 𝐒𝐩𝐚𝐜𝐞-𝐒𝐚𝐯𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Maximize storage space while minimizing clutter! The bathroom storage cabinet utilizes the vertical space above your toilet, providing ample storage for toilet paper, towels, toiletries, and decorative accessories. The compact design not only keeps your bathroom neat and tidy but also optimizes limited floor space. ', ' 𝐒𝐭𝐮𝐫𝐝𝐲 𝐚𝐧𝐝 𝐃𝐮𝐫𝐚𝐛𝐥𝐞: This over toilet storage cabinet made of MDF, metal ladder-shaped legs, ensures stability and durability . Solid metal ""X"" crossbar provide extra support, preventing it from tipping forward. Additionally, two anti-tipping devices can be easily attached to the wall for enhanced stability and safety. Adjustable feet are also included to level the shelf on uneven floors and protect your flooring from scratches. ', "" 𝐌𝐮𝐥𝐭𝐢-𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 & 𝐖𝐢𝐝𝐞 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧: With a spacious open bottom space(23.62'' W, 35'' H), our above toilet storage cabinet fits most standard toilets and can be placed in bathroom, laundry rooms, kitchens, entryways, balconies, porches, dorms, and hotels. It can be utilized not only as a behind the toilet storage organizer but also as laundry room cabinets, kitchen rack, minifridge stand with storage, or any other storage solution you need. "", ' 𝐄𝐚𝐬𝐲 𝐀𝐬𝐬𝐞𝐦𝐛𝐥𝐲 & 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞: All parts and hardware of this tall bathroom storage cabinet are labeled for easy identification, and detailed assembly instructions are provided to ensure quick and hassle-free installation. The surface finish of this storage cabinet with doors is easy to clean, requiring only a damp cloth to wipe and maintain its dryness, ensuring the service life of the bathroom storage cabinet freestanding.']",,"['Brand: ZZQXTC', 'Color: Over the Toilet Storage Cabinet White', 'Product Dimensions: 11.8""D x 24.8""W x 65.5""H', 'Special Feature: Waterproof, Durable', 'Mounting Type: Floor Mount', 'Room Type: Bathroom, Laundry, Kitchen', 'Door Style: wood', 'Included Components: Hardware, Assembly Instruction, over the toilet storage cabinet', 'Number of Shelves: 3', 'Item Weight: 27 Pounds', 'Base Type: Legs', 'Installation Type: Freestanding', 'Back Material Type: Wood', 'Assembly Required: Yes', 'Item Weight: 27 pounds', 'Manufacturer: ZZQXTC', 'ASIN: B0CBDLJ32L', 'Country of Origin: China', 'Item model number: OTCMD002-WH', 'Customer Reviews: 3.0 3.0 out of 5 stars \n 2 ratings \n\n\n 3.0 out of 5 stars', 'Best Sellers Rank: #1,305,201 in Home & Kitchen (See Top 100 in Home & Kitchen) #517 in Over-the-Toilet Storage', 'Date First Available: September 10, 2023']",8f3f62a9-3e8c-537b-b7b0-a12da9f859eb,2024-02-02 18:56:00 +B0CG9CDKQ7,https://www.amazon.com/dp/B0CG9CDKQ7,"40ft Upholstery Elastic Webbing,Two Inch (2"") Wide Stretch Latex Band for Furniture Sofa, Couch, Chair Repair Modification (5cm Green)",Generic,$10.99,In Stock,"['Home & Kitchen', 'Furniture', 'Replacement Parts', 'Sofa Parts']",https://m.media-amazon.com/images/I/51oKu+lxwzL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51oKu+lxwzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VtLWMxD7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Bj2r8ARkL._SS522_.jpg']",,,,8.07 x 5.71 x 2.56 inches,"August 22, 2023",,,,,[],[],"['【Material】: Polyester And Latex Thread ', ' 【Dimensions】: Length12 m/40ft ,Wide Two Inch (2"")/5cm,Green/Black ', ' 【Applied in indoors】:40ft allowing you to cover more chairs with less work. It can cover several chairs or 1 sofa ', ' 【Function】Quality elastic band, elastic webbing for stapling on wooden structures, suitable for seats with high rubber content, such as chairs, armchairs, sofas, armchairs etc. Coefficient of elasticity of 20% for stapling on wooden structures ', "" 【Service Guarantee】If you're not 100% satisfied of the product, please let us know, full refund or a free replacement, Don't hesitate to contact us if you have any question.""]","1 Roll 2"" Width 40' Length Upholstery Elastic Webbing A high quality alternative to rubber webbing with round bonded edges and excellent stretch resistance. 70mm Width Multi-purpose webbing / strapping. can be stapled or nailed without splitting The webbing is strong but supportive and suitable for various types of furniture, especially those that require a flat-surface such as dining chairs & much more.","['Item Weight: 15.2 ounces', 'Package Dimensions: 8.07 x 5.71 x 2.56 inches', 'ASIN: B0CG9CDKQ7', 'Best Sellers Rank: #313,429 in Home & Kitchen (See Top 100 in Home & Kitchen) #143 in Sofa Replacement Parts', 'Date First Available: August 22, 2023']",e4fda4d9-23b6-59e9-86f8-fe7960dab725,2024-02-02 18:56:01 +B0CF9W6WW2,https://www.amazon.com/dp/B0CF9W6WW2,"Kujielan Oval Wall Mirror with Leaf Decorative Frame,Cirle Mirrors for Wall,Modern Wall Decor for Living Room,Bedroom,Bathroom,Vanity,Entryway,Black",Kujielan,$31.99,In Stock,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/419muJNV1JL._SS522_.jpg,"['https://m.media-amazon.com/images/I/419muJNV1JL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/313bE-5lg0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41OLYgMgydL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4107v1t8o1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41EfsfwyhiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/417pfD2Z-1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414-eQNgckL.SS125_SS522_.jpg']",,KJL-YF2306-G,KJL-YF2306-G,"26.7""L x 19.6""W","August 13, 2023",,Black,Metal,Contemporary,[],"[{'Brand': ' Kujielan '}, {'Room Type': ' Living Room '}, {'Shape': ' Oval '}, {'Product Dimensions': ' 26.7""L x 19.6""W '}, {'Frame Material': ' Iron '}]","['[Exquisite Leaf Decorative Frame]This wall mirror features a stunning frame adorned with elegant leaf designs, adding a touch of nature-inspired elegance to any space. The carefully crafted details of the leaf decorative frame make it a captivating focal point that enhances the overall aesthetic appeal of the mirror. ', ' [Versatile and Timeless Design]The wall mounted mirror boasts a versatile and timeless design, making it suitable for various interior styles. Whether your decor is classic, contemporary, or eclectic, this mirror effortlessly blends in, becoming a statement piece that complements any ambiance. ', ' [Functional and Practical]Besides its decorative charm, this round mirror fulfills its primary function as a practical item. It provides a clear and accurate reflection, allowing for effortless grooming, makeup application, or outfit coordination. Its functional aspect adds convenience and utility to any daily routine. ', ' [Durable Construction]Crafted with sturdy materials, this circle mirror ensures long-lasting durability. The metal frame is made to withstand the test of time, maintaining its beauty and structural integrity. It is designed to be a reliable and enduring addition to your home decor, providing enjoyment for years to come. ', ' [Easy Installation]With its lightweight construction, the decorative mirror requires minimal effort to lift and position onto the desired spot on the wall.And the round mirror features a single mounting point, allowing for effortless installation with just one hook.The simplicity and efficiency of the hanging process make the wall mirror an excellent choice for those seeking a hassle-free installation.']",,"['Brand: Kujielan', 'Room Type: Living Room', 'Shape: Oval', 'Product Dimensions: 26.7""L x 19.6""W', 'Frame Material: Iron', 'Style: Contemporary', 'Mounting Type: Wall Mount', 'Finish Type: Painted', 'Surface Recommendation: Glass', 'Special Feature: Unlit', 'Color: Black', 'Theme: Modern', 'Number of Pieces: 1', 'Number of Items: 1', 'Material: Metal', 'Frame Type: Framed', 'Item Weight: 4.94 Kilograms', 'Assembly Required: No', 'Item Weight: 10.88 pounds', 'Manufacturer: KJL-YF2306-G', 'ASIN: B0CF9W6WW2', 'Item model number: KJL-YF2306-G', 'Customer Reviews: 4.9 4.9 out of 5 stars \n 12 ratings \n\n\n 4.9 out of 5 stars', 'Best Sellers Rank: #226,966 in Home & Kitchen (See Top 100 in Home & Kitchen) #657 in Wall-Mounted Mirrors', 'Date First Available: August 13, 2023']",aee9fd54-bdd4-5e41-ae5b-927b3f1819d5,2024-02-02 18:56:01 +B09VBPNY7P,https://www.amazon.com/dp/B09VBPNY7P,"RRG Coat Rack Stand, Metal Coat Tree with Heavy Base 8 Welded Hooks Coat Stand for Entryway, Hall, Bedroom, Corner, Office 67” (Gold)",RRG Store,,,"['Home & Kitchen', 'Furniture', 'Entryway Furniture', 'Coat Racks']",https://m.media-amazon.com/images/I/214BED2RP6L._SS522_.jpg,"['https://m.media-amazon.com/images/I/214BED2RP6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41VoLOTuLZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41fzjHzmR8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41n3e9buTTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41rJoyofA8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Dm2j+QHIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qlRfSGvaL.SS125_SS522_.jpg']",,RRG,,"12.5""D x 12.5""W x 67""H","March 11, 2022",,"Gold - T 67""/170cm",Metal,8 T-shaped Hooks,[],"[{'Brand': ' RRG '}, {'Color': ' Gold - T 67""/170cm '}, {'Material': ' Iron '}, {'Recommended Uses For Product': ' Coats, Hats, Scarves, Bags '}, {'Product Dimensions': ' 12.5""D x 12.5""W x 67""H '}]","['【Sturdy & Stable】RRG Coat Tree consists of welded metal rack and heavy-duty base. Branch-shaped metal hooks are welded on trunk-shaped metal pipes, 50 times stronger than assembling on metal pipes. Heavy-duty base protects the whole freestanding coat rack from shaking. ', "" 【Space Saving】This slim coat rack meets your needs with minimal space, hooks arranged vertically, less space required. Can hang winter coats, heavy coats, windbreakers, jackets, backpacks, hats, women's bags, etc. "", ' 【Easy to Assemble】Assemble in Minutes. Stick non-slip pads on the base, connect base and the bottom metal pipe by screw, finally rotate other metal pipes. Package includes a screw and Allen key. ', ' 【Decorative & Practical】Modern minimalist design, The surface of RRG coat racks with professionally powder-coated is smooth, shiny and good-looking. The sintered-stone base with beautiful natural texture is easy to clean. RRG free standing coat rack can decorate your home absolutely. ', ' 【Multiple Occasions】Suitable for entryway, hallway, hall, corner, living room, bedroom, office, bar, etc.']",,"['Brand: RRG', 'Color: Gold - T 67""/170cm', 'Material: Iron', 'Recommended Uses For Product: Coats, Hats, Scarves, Bags', 'Product Dimensions: 12.5""D x 12.5""W x 67""H', 'Installation Type: Free Standing', 'Special Feature: Heavy Duty', 'Style: 8 T-shaped Hooks', 'Finish Type: Matt', 'Furniture Finish: Gold', 'Frame Material: Metal', 'Assembly Required: Yes', 'Item Weight: 10.05 Pounds', 'Maximum Weight Recommendation: 350 Pounds', 'Manufacturer: RRG', 'Item Weight: 10.05 pounds', 'Size: 8 T-shaped Hooks', 'Finish: Matt', 'Shape: Straight', 'Special Features: Heavy Duty', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B09VBPNY7P', 'Customer Reviews: 3.9 3.9 out of 5 stars \n 190 ratings \n\n\n 3.9 out of 5 stars', 'Best Sellers Rank: #71,756 in Home & Kitchen (See Top 100 in Home & Kitchen) #55 in Coat Racks', 'Date First Available: March 11, 2022']",30e84557-a54c-5566-9068-f448417f72e3,2024-02-02 18:56:02 +B097R4M5Y5,https://www.amazon.com/dp/B097R4M5Y5,"Mirrors for Wall Decor, Golden Hanging Mirror Golden Butterfly Wall Hanging Makeup Mirror with Chain Round Decorative Mirror for Bathroom Bedroom Living Room Housewarming Gift",Gintdinpu,$54.19,Usually ships within 1 to 2 months,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/31TgX2crLUS._SS522_.jpg,"['https://m.media-amazon.com/images/I/31TgX2crLUS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Adc1iCoiS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31cP2HrnNJS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41rLwmsfEJS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51rHHntP0SS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41dquCXhc5S._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41c2IzlKigS._SS522_.jpg']",,Gintdinpu,,"22.44""L x 11.81""W","June 23, 2021",,Gold,Iron,,[],"[{'Brand': ' Gintdinpu '}, {'Room Type': ' Bathroom '}, {'Shape': ' Round '}, {'Product Dimensions': ' 22.44""L x 11.81""W '}, {'Frame Material': ' Glass, Iron '}]","['Durable Metal Frame: The wall mirror is assembled and ready to hang when it arrives. And durable metal frame makes the mirror durable. ', ' Stylish and Premium: This stylish mirror is composed of a unique metal frame and antique gold finish and a glass mirror with crystal clear reflection. ', ' Classic and Large: The total length of the product is about 22.4 inches and the diameter of the mirror is about 11.8 inches. This classic and elegant mirror is perfect for any wall. ', ' Wide Applications: Perfect for bathroom, living room, bedroom, office and entrance. The golden butterfly wall-mounted mirror is equipped with an additional keyhole mounting bracket, which can be easily installed with screws (without hardware). ', ' Perfect Gift: A fabulous gift to friends and family, perfect for birthday, wedding and housewarming.']","Descriptions:Material: Glass + iron frameSize: About total length: 57cm/22.44in, mirror diameter: 30cm/11.81inWeight: About 852gPackage included:1*Wall Mirror","['Brand: Gintdinpu', 'Room Type: Bathroom', 'Shape: Round', 'Product Dimensions: 22.44""L x 11.81""W', 'Frame Material: Glass, Iron', 'Mounting Type: Wall Mount', 'Finish Type: Iron,Metal', 'Special Feature: 150', 'Color: Gold', 'Theme: Antique', 'Number of Pieces: 1', 'Number of Items: 1', 'Material: Iron', 'Frame Type: Framed', 'Assembly Required: No', 'Item Weight: 2.4 pounds', 'Manufacturer: Gintdinpu', 'ASIN: B097R4M5Y5', 'Customer Reviews: 1.0 1.0 out of 5 stars \n 1 rating \n\n\n 1.0 out of 5 stars', 'Best Sellers Rank: #3,735,697 in Home & Kitchen (See Top 100 in Home & Kitchen) #9,485 in Wall-Mounted Mirrors', 'Date First Available: June 23, 2021']",93eb095c-68d2-568f-a892-1f909dbe1010,2024-02-02 18:56:03 +B0C9QHJ611,https://www.amazon.com/dp/B0C9QHJ611,"Mokoze Wavy Mirror Irregular Border 10.24""x6.3"" Makeup Mirror for Wall-Mounted and Dressing Table Mirrors, Room Decor for Living Room Bedrooms and Mirror for Desk (White)",Mokoze Store,$13.49,Only 11 left in stock - order soon.,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/319OzJXVrxL._SS522_.jpg,"['https://m.media-amazon.com/images/I/319OzJXVrxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51E9R37c8yL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/314TEIXT+1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41YBb+4PjWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41kThG7kJyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Hd4AUodyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41+WAxyitkL.SS125_SS522_.jpg']",,,,"10.24""L x 6.3""W",,,White,Plastic,,[],"[{'Brand': ' Mokoze '}, {'Room Type': ' Living Room '}, {'Shape': ' Irregular '}, {'Product Dimensions': ' 10.24""L x 6.3""W '}, {'Frame Material': ' Glass '}]","['Material and Size：26x16x2.2 cm/10.24x6.3x0.87 inches, moderate size. Mokoze wave mirrors are made of high quality plastic material, and the mirror surface is made of glass, which is not easily deformed and has high definition, ideal for make-up ', ' Design Features：This makeup mirror adopts the design style of irregular wave pattern, which is exquisite and elegant in appearance and can clearly illuminate the items. This beautiful vanity mirror can help us organize our appearance better and enhance our self-confidence ', ' Elegant and stylish：This cute and stylish wavy and irregular shaped Mokoze mirror will make a great addition to any room decor, adding an artistic touch to your home, as well as adding elegance and style to your room ', ' Multifunctional use：Can put this wavy mirror on the table, use it as a makeup mirror for desktop decoration, or hang it on the wall with the hooks on the back.Suitable for placement in the living room, bedroom, bathroom, dining room, etc. Can be used as a beautiful gift for housewarming, wedding, Christmas, birthday, holiday, etc ', ' Product Packaging：Paper box+bubble packaging, not fragile. If the product you receive has a damaged border or mirror surface, please contact us promptly and we will unconditionally give you a full refund or replace the product']",,"['Room Type: Living Room', 'Mounting Type: Wall Mount', 'Frame Type: Framed', 'Frame Material: Glass', 'Material: Plastic', 'Shape: Irregular', 'Color: White', 'Theme: Holiday', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 20 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #310,726 in Home & Kitchen (See Top 100 in Home & Kitchen) #938 in Wall-Mounted Mirrors', 'Brand: Mokoze', 'Number of Pieces: 1', 'Number of Items: 1', 'Product Dimensions: 10.24""L x 6.3""W', 'Assembly Required: No']",e0fb90ab-766f-5b76-a61a-3d84ac26a42a,2024-02-02 18:56:04 +B07B8VT4DC,https://www.amazon.com/dp/B07B8VT4DC,"(100) 12"" Record Outer Sleeves - Outer Resealable Sleeves - Extreme HD Poly 3 Mil 12 3/4"" x 12 1/2"" | Record Rescue",Record Rescue,$24.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'TV & Media Furniture', 'Media Storage', 'DVD Cases']",https://m.media-amazon.com/images/I/41uJZW57cBL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41uJZW57cBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41QLxpvUgPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41G8A5FZOcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51C+vo3dCyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41PP1B62cAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31qOKgbLOLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/517lQG0dGKL._SS522_.jpg']",,RR-006,8541764879,13 x 0.5 x 14.5 inches,"March 6, 2018",,,"Vinyl, Plastic, Polypropylene (PP)",,[],"[{'Material': ' Vinyl, Plastic, Polypropylene (PP) '}, {'Brand': ' Record Rescue '}, {'Style': ' Classic '}, {'Max Input Sheet Capacity': ' 100 '}, {'Number of Pieces': ' 100 '}]","['3 MIL PREMIUM LP SLEEVES - Enjoy owning the record industry’s sleeve of choice! ', ' PROVIDES MAXIMUM PROTECTION FOR YOUR RECORD COLLECTION - The best vinyl protection and preservation system for over 35 years. ', ' (100 PACK) RESEALABLE RECORD OUTER SLEEVES - Our Record Outer Sleeves work great for any record 12 inches or smaller. Dimensions: 12 3/4” x 12 1/2”. ', ' CRYSTAL CLEAR PROTECTION FOR YOUR RECORD COLLECTION - Keep your collection clean and dust-free once and for all! ', ' STORE SINGLE AND DOUBLE ALBUMS - The Record Rescue Outer Sleeves will hold single records AND most double gatefold record jackets.']",,"['Manufacturer: Record Rescue', 'Brand: Record Rescue', 'Item Weight: 1.9 pounds', 'Product Dimensions: 13 x 0.5 x 14.5 inches', 'Item model number: 8541764879', 'Is Discontinued By Manufacturer: No', 'Material Type: Vinyl, Plastic, Polypropylene (PP)', 'Manufacturer Part Number: RR-006', 'ASIN: B07B8VT4DC', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 265 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #532,169 in Home & Kitchen (See Top 100 in Home & Kitchen) #431 in DVD Cases', 'Date First Available: March 6, 2018']",74672567-1d46-5854-8be5-4133f57d6fec,2024-02-02 18:56:04 +B09DS1VPFS,https://www.amazon.com/dp/B09DS1VPFS,"Christopher Knight Home Munro Recliner, Navy Blue + Teak",Christopher Knight Home Store,,Only 2 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/31exiSJMk8L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31exiSJMk8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31f1fGubiiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31F66l55o2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31HpEGeYNeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41uId59fl3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41utQeeD3DL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41oyJgs5y4L._SS522_.jpg']",,,315341,"35.75""D x 24.75""W x 38""H","August 27, 2021",China,Navy Blue + Teak,Foam,Contemporary,[],,"['CONTEMPORARY DESIGN: Featuring smooth channel stitching and a rich wood frame, our recliner offers the look, feel, and design of a truly contemporary piece with a touch of mid-century charm. With a minimalistic yet refined structure, this set brings out a simplistic style that emphasizes comfort and functionality. ', ' PUSH-BACK RECLINER: This recliner is a push-back recliner that allows you to lay back and relax after a long day. Simply use your body weight to push the chair back to recline and tilt your body weight forward and upwards to bring it back to the upright position. ', ' CHANNEL STITCHING: The channel stitching in the backrest offers an extra touch of sophistication that provides a smooth design. The straight stitch pattern adds a bit of texture without sacrificing any comfort. ', ' RUBBERWOOD FRAME: Our environmentally-friendly wood not only offers plenty of durability, but it also gives this piece a beautiful natural-grain look. Combined with a gorgeous finish, this wood will truly stand out in any room. ', ' DIMENSIONS: Choose an accessory that is the perfect size for you and your furniture. This recliner is 24.75” W x 35.75” D x 38.00” H in its upright position and 24.75” W x 55.50” D x 33.75” H when fully reclined. You will love how much your space can transform with the simple addition of this charming recliner.']","Redefine your living room with cozy comfort and outstanding style. Our convenient recliner chair provides an incredibly high degree of leisure in an attractive package, emphasizing a charming contemporary design with a mid-century modern twist. Featuring beautiful channel stitching and a rich wood frame, this recliner pairs perfectly with the push-back functionality allowing for high comfort with little effort. Sure to become the new favorite spot of leisure, you and your family will surely enjoy this recliner for years to come.;Material: Fabric or Faux LeatherFabric Composition: 100% PolyesterFrame Material: RubberwoodMultiple Color OptionsFrame Finish: TeakHand-Crafted DetailsAssembly RequiredDimensions: 35.75 inches deep x 24.75 inches wide x 38.00 inches highExtended Dimensions: 55.50 inches deep x 24.75 inches wide x 33.75 inches highSeat Dimensions: 22.00 inches deep x 20.50 inches wide x 20.00 inches highArm Height: 23.75 inchesWeight Capacity: 300 lbs","['Brand: Christopher Knight Home', 'Color: Navy Blue + Teak', 'Product Dimensions: 35.75""D x 24.75""W x 38""H', 'Special Feature: Durability', 'Recommended Uses For Product: Living Room', 'Maximum Weight Recommendation: 300 Pounds', 'Style: Contemporary', 'Pattern: Lined', 'Room Type: Living Room', 'Age Range (Description): Adult', 'Included Components: One (1) Recliner', 'Model Name: Munro', 'Surface Recommendation: Indoor', 'Form Factor: Recliner,Contemporary,Tilt', 'Furniture Finish: Rubberwood', 'Fill Material: Foam', 'Item Weight: 60.4 pounds', 'Country of Origin: China', 'Item model number: 315341', 'ASIN: B09DS1VPFS', 'Customer Reviews: 2.0 2.0 out of 5 stars \n 4 ratings \n\n\n 2.0 out of 5 stars', 'Best Sellers Rank: #3,713,767 in Home & Kitchen (See Top 100 in Home & Kitchen) #10,038 in Living Room Chairs', 'Date First Available: August 27, 2021']",3033adad-ea69-5549-9c7a-6786116068c2,2024-02-02 18:56:05 +B0CP732ZN8,https://www.amazon.com/dp/B0CP732ZN8,"3-Tier Side Table,Narrow End Table with Storage Shelf,Minimalist Bedside Tables Nightstand,Small Bookshelf Bookcase for Spaces,Bathroom Shelve,Display Rack for Bedroom,Living Room,Office,Dorms,2 Pack",HomeToDou,$37.99,Only 17 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41tzKL1XIPL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41tzKL1XIPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41x2t1aF8wL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/411fe5C531L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51JpAjZtlFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/415Xs09XQWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ie8ETl7FL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41TBhqyMiVL._SS522_.jpg']",,,,"15.8""D x 9.5""W x 23.6""H",,,White,Engineered Wood,Modern,[],,"['【Space-Saving】Measuring 15.75L x 9.45W x 21.65H inches,this side table has a small footprint while providing plenty of storage space.It is very suitable for small spaces.3 tiers design with enough space to displaying book,magazine,coffee cup;the stylish appearance will be compatible with any home decor and furniture. ', ' 【Easy to Clean and Move】This side table is made of PVC (Polyvinyl Chloride) material,not solid wood,which is a new eco-friendly material for furniture,no spray paint,never fade.This side table has a smooth surface and can be easily cleaned with wet cloth,it is suitable for any place,such as living room,bedroom,bathroom,office,kitchen,hallway,etc. Light weight makes this side table easy to move anywhere you want. ', ' 【Easy to Assemble】The end table is super easy to assemble.you can read the manual before installation. It is a simple mortise and tenon design, you only need to snap them together, and then tighten them with screws. After installation, you will find that the side table is very strong and can hold a lot of things. ', ' 【Multifunctional Design】This Stylish table suitable for any corner of your room.You can use it in many places in your home, such as bathroom, bedroom and living room. Use it as a decorative plant stand, toy or knickknack, or as a bedside table to organize your lamps, glasses, etc. You can also use it as a small bookcase shelf to store books and toys. ', "" 【After-Sale GUARANTEE】All of our products come with a one-year warranty from the date of purchase. If for any reason you're not completely satisfied with your purchase, we offer a 50% cash-back guarantee. If you have any questions or concerns, please don't hesitate to contact us. Our goal is to provide you with the highest quality products and the best customer service possible.""]","This small end table is made of PVC board, NOT FOAM BOARD NOT WOOD, which is very smooth, waterproof and easy to install and clean. The perfect size and height match most sofas and chairs make it ideal to be used as a side table in living room; 3 tiers design with enough space to displaying books , magazines, coffee cups ; the stylish appearance will be compatible with any home decor and furnitureSPECIFICATIONS:Overall dimension: 15.75L x 9.45W x 21.65HColor: WhitePacking Quantity: 2Material: PVCSpecial Features：lightweight, waterproof, multi-purpose","['Brand: HomeToDou', 'Shape: Rectangular', 'Room Type: Kitchen, Bathroom, Bedroom, Home Office, Hallway', 'Included Components: side table', 'Color: White', 'Model Name: TD-Side Table End Table', 'Model Number: TD-Side Table End Table', 'Age Range (Description): Adult', 'Target Gender: Unisex', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 1 rating \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #658,427 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,554 in End Tables', 'Assembly Required: Yes', 'Recommended Uses For Product: Displaying', 'Product Dimensions: 15.8""D x 9.5""W x 23.6""H', 'Item Width: 9.5 inches', 'Item Weight: 2 Pounds', 'Number of Items: 2', 'Number of Shelves: 3', 'Unit Count: 2.0 Count', 'Style: Modern', 'Table design: Nightstand', 'Theme: Nautical', 'Special Feature: Storage', 'Mounting Type: Floor Mount', 'Base Type: Leg', 'Frame Material: Engineered Wood']",487adf3a-9485-5500-9c98-bcc391eda169,2024-02-02 18:56:06 +B0C2GQK6ZD,https://www.amazon.com/dp/B0C2GQK6ZD,"DBTHTSK Sofa Latch,Bed Replacement Parts,Heavy Duty Connector Bracket Interlocking Tapered Hardware Accessories Furniture Connector for Furniture, Sofa, Bed (2 Pairs)",DBTHTSK,$12.99,Only 9 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Replacement Parts', 'Sofa Parts']",https://m.media-amazon.com/images/I/41gQlYHLvcL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41gQlYHLvcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ywFJVB6zL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41H58P+fgnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41NPKv4fLqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41DTo7sJK+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41XD2tU0-AL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41yq+S9zRYL.SS125_SS522_.jpg']",,,,4.96 x 3.78 x 0.75 inches,"April 14, 2023",,,,,[],[],"['Quality Material:Sofa buckle furniture connector is made of high quality heavy duty solid metal material,not easy to rust,durable and wear-resistant. ', ' Design:The product is designed with 4 mounting screw holes, which makes it easier to find suitable screw holes. Different furniture have different screw installation methods.(Note：No screws are included in the package). ', ' Function: The furniture connector use to sofas,beds or other furniture. Sofa connectors are mainly used to connect modular or upholstered furniture to form a seat row or seat group. ', ' Easy to use:The furniture connector consists of two parts.It only takes a few minutes, after fixing the two brackets, just slide it into place to complete the interlocking of the furniture. ', ' Application:The furniture connector designed for various furniture hardware, can connect and adjust furniture at different positions and angles.']","Specification: Name: Sofa Buckle(furniture connector) Material:: Solid metal Outer Buckle:120mm*37mm Inner Buckle Size:112mm*32mm Thickness: 1.8mm Features Thickened and stable,smooth and flat,good load-bearing capacity. Not easy to deform and strong wear resistance. Good fixing function, no need to worry about the loosening and sliding of the connecter. Sofa buckle is mainly used to connect modular or upholstered furniture to form a seat row or seat group, so it is easy to install and disassemble.","['Item Weight: 10.8 ounces', 'Package Dimensions: 4.96 x 3.78 x 0.75 inches', 'ASIN: B0C2GQK6ZD', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 2 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #3,725,843 in Home & Kitchen (See Top 100 in Home & Kitchen) #914 in Sofa Replacement Parts', 'Date First Available: April 14, 2023']",4184968f-0344-5a58-8c95-1bb6462b95b5,2024-02-02 18:56:06 +B07T9M8Y88,https://www.amazon.com/dp/B07T9M8Y88,"Boraam Sonoma Bench, Storm Gray Wire-Brush",Boraam Store,,,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Table Benches']",https://m.media-amazon.com/images/I/316Y4ewyCLL._SS522_.jpg,"['https://m.media-amazon.com/images/I/316Y4ewyCLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Ql2vPii5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/412AdcsJl3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/211zB85gDlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51pyF++B7RL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/51AQ412MCpL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/510AmHM9CAL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,Boraam,75225,"9""D x 33""W x 24.25""H",,,Storm Gray Wire-brush,,,[],,"['Made from eco-friendly rubberwood ', ' Seats 2 people ', ' Multi-step wire-brush finish for rustic style ', ' Ergonomic saddle seat ', ' Stability stretchers on base double as footrest']","The Sonoma Bench imbues your dining room or kitchen with an inviting air of warmth. The rubberwood’s multistep wire-brushed finish enhances the piece’s rustic and farmhouse bonafides. This saddle bench’s contoured seat is large enough to fit two people side by side. This bench pairs great with our Sonoma Counter Stools and Sonoma Pub Table. Make this bench yours by choosing your favorite of our three finish options Barnwood, Chestnut, and Storm Gray.","['Product Dimensions: 9""D x 33""W x 24.25""H', 'Color: Storm Gray Wire-brush', 'Size: 9 x 33 x 24.25', 'Furniture Finish: Chestnut', 'Brand: Boraam', 'Product Care Instructions: Wipe with Damp Cloth', 'Maximum Weight Recommendation: 300 Pounds', 'Seating Capacity: 2', 'Item Weight: 17 pounds', 'Manufacturer: Boraam', 'ASIN: B07T9M8Y88', 'Item model number: 75225', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 604 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #73,312 in Home & Kitchen (See Top 100 in Home & Kitchen) #4 in Kitchen & Dining Room Benches', 'Form Factor: Wood', 'Assembly required: Yes', 'Batteries required: No', 'Included Components: Bench']",c195eccb-af04-5174-81ad-df5be468f8ff,2024-02-02 18:56:07 +B001AHXWQ6,https://www.amazon.com/dp/B001AHXWQ6,"Kwikset BTBCB2Y, Tuscan Bronze",Pfister Store,$65.80,,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/21lfjygKjaL._SS522_.jpg,"['https://m.media-amazon.com/images/I/21lfjygKjaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31TCyj6Mw4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/510jaEecaQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nKGYtp44L.SS125_SS522_.jpg']",,No,BTBCB2Y,"5""L x 5""W x 5""H","October 2, 2003",China,Tuscan Bronze,Metal,Transitional,[],"[{'Color': ' Tuscan Bronze '}, {'Material': ' Metal '}, {'Product Dimensions': ' 5""L x 5""W x 5""H '}, {'Finish Type': ' Tuscan Bronze '}, {'Brand': ' Pfister '}, {'Installation Type': ' Screw-In '}, {'Shape': ' L-Shape '}, {'Item Weight': ' 2 Pounds '}]","['Premium metal construction for durability ', ' Superior mounting posts for secure installation ', ' Concealed screw installation ', ' The Package Weight Of The Product Is 2.65 Pounds']","Product Description Time honored qualities such as elegance, tradition and symmetry have been gracefully reflected in the Avalon bath collection. With smooth and sleek curves reminiscent of a seaside escape, it's no wonder Avalon is the perfect complement to any bath. Available in a variety of configurations and finishes, Avalon makes it easy to coordinate the look of your entire home. From the Manufacturer Time Honored Qualities such as elegance, tradition and symmetry have been gracefully reflected in the Avalon Bath Collection. With smooth and sleek curves reminiscent of a seaside escape, it's no wonder the Avalon Collection is the perfect complement to any bath. We've made coordinating the look of your entire home as easy as asking for the Avalon Collection.","['Color: Tuscan Bronze', 'Material: Metal', 'Product Dimensions: 5""L x 5""W x 5""H', 'Finish Type: Tuscan Bronze', 'Brand: Pfister', 'Installation Type: Screw-In', 'Shape: L-Shape', 'Item Weight: 2 Pounds', 'Manufacturer: Kwikset', 'Part Number: BTB-CB2Y', 'Item Weight: 2 pounds', 'Country of Origin: China', 'Item model number: BTBCB2Y', 'Is Discontinued By Manufacturer: No', 'Style: Transitional', 'Finish: Tuscan Bronze', 'Item Package Quantity: 1', 'Included Components: Item Included Only', 'Batteries Included?: No', 'Batteries Required?: No', 'Warranty Description: Lifetime warranty', 'ASIN: B001AHXWQ6', 'Customer Reviews: 2.9 2.9 out of 5 stars \n 9 ratings \n\n\n 2.9 out of 5 stars', 'Best Sellers Rank: #970,200 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #3,589 in Bath Towel Bars', 'Date First Available: October 2, 2003']",77a17c14-0f11-5b89-87a8-84601f781520,2024-02-02 18:56:08 +B0BT6FF83T,https://www.amazon.com/dp/B0BT6FF83T,"Ilyapa 2-Tier Gold Metal Record Player Stand with 16 Slot Vinyl Record Holder - Honeycomb Design Turntable Shelf with Record Shelf, Vinyl Record Player Stand",Ilyapa Store,$63.35,Only 1 left in stock - order soon.,"['Electronics', 'Home Audio', 'Turntables & Accessories', 'Turntables']",https://m.media-amazon.com/images/I/4107MgspWhL._SS522_.jpg,"['https://m.media-amazon.com/images/I/4107MgspWhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41utOCc7KEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Zn2VU--VL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41GQGoWuzkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51OJbajH0QL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51W53Ek2lhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41pnQ7PGq3L._SS522_.jpg']",,Ilyapa,,21.4 x 14.65 x 5.5 inches,"November 13, 2023",,,,,[],"[{'Brand': ' Ilyapa '}, {'Material': ' Metal '}, {'Style': ' Modern '}, {'Color': ' Matte Gold '}, {'Power Source': ' Corded Electric '}]","['VERSATILE INDUSTRIAL DESIGN: Ideal for offices, bedrooms, man caves, or living rooms, this record stand doubles as a small table with extra storage space for records. ', ' ROBUST STEEL CONSTRUCTION: Crafted from high-quality cold rolled steel, this record player table with a shelf is built to endure and withstand everyday household use. ', ' STYLISH VINYL STORAGE SOLUTION: Keep your favorite vinyl records easily accessible with the 16 slot record rack included in this record stand. ', ' MODERN AND SLEEK: The Gold finish of this record player stand exudes a modern industrial vibe, adding a stylish touch to any space while providing functionality and storage. ', ' 100% SATISFACTION GUARANTEE: Ilyapa stands by all of its record accessories with complete confidence. Contact us with any questions or concerns for prompt assistance and support.']",,"['Package Dimensions: 21.4 x 14.65 x 5.5 inches', 'Item Weight: 7.13 pounds', 'Manufacturer: Ilyapa', 'ASIN: B0BT6FF83T', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 138 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #116,516 in Electronics (See Top 100 in Electronics) #952 in Audio & Video Turntables', 'Date First Available: November 13, 2023']",30ea9c2f-9b59-558a-bfb1-17655a8e2d9a,2024-02-02 18:56:08 +B0C6SYFYZN,https://www.amazon.com/dp/B0C6SYFYZN,"GZsenwo (2 Pieces) 3-5/8"" Stainless Steel Replacement Recliner Sofa Mechanism Tension Spring - Long Neck Hook",GZsenwo,$9.99,In Stock,"['Home & Kitchen', 'Furniture', 'Replacement Parts', 'Recliner Parts']",https://m.media-amazon.com/images/I/41GvGSllzML._SS522_.jpg,"['https://m.media-amazon.com/images/I/41GvGSllzML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VFQH+x4sL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41s4kORJPQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ufIEljPsL._SS522_.jpg']",,,,3.86 x 1.26 x 1.26 inches,"June 1, 2023",,2pcs,Stainless Steel,,[],,"['【Set includes】 2 pieces 3-5/8"" recliner replacement springs. ', ' 【Size Information】The total length of the springs for recliner is 3-5/8 inches, the coil diameter is 13/20 inches,, the wire diameter is 2 mm, and the hook is 90 degree offset. ', ' 【Quality Material】Made of 304 stainless steel material, non-plating process, no plating layer, will not fall off, will not rust, with a transparent protective layer, it is a high-quality recliner sofa chair replacement spring. ', ' 【Safe to USE】The hook is no longer worn during work, there is no more positional sliding when stretched and contracted, and there is no annoying noise. It matches your chair just right.']","GNPADR 3-5/8"" (2 Pieces) Stainless Steel Replacement Recliner Sofa Mechanism Tension Spring - Long Neck Hook","['Brand: GZsenwo', 'Color: 2pcs', 'Seat Material Type: Stainless Steel', 'Pattern: Solid', 'Age Range (Description): Adult', 'Surface Recommendation: Hard Floor', 'Form Factor: Recliner', 'Furniture Finish: Stainless Steel', 'Item Weight: 1.76 ounces', 'Product Dimensions: 3.86 x 1.26 x 1.26 inches', 'ASIN: B0C6SYFYZN', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 2 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #1,448,872 in Home & Kitchen (See Top 100 in Home & Kitchen) #767 in Recliner Replacement Parts', 'Date First Available: June 1, 2023']",62bad34b-9432-5be6-9993-9be69aae0d62,2024-02-02 18:56:09 +B0BG6BJ3DL,https://www.amazon.com/dp/B0BG6BJ3DL,"HomePop by Kinfine Fabric Upholstered Round Storage Ottoman - Velvet Button Tufted Ottoman with Removable Lid, Tan Woven",HomePop Store,,Only 1 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/51x3kXXPgxL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51x3kXXPgxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41PxAKBSgXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qdJ3RFc4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61JevsgslML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NWjMaxTEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61KYY3q3O3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51TCrbxn6JL._SS522_.jpg']",,HomePop,K6171-F2251-V,"19""D x 19""W x 18""H",,China,Tan Woven,Engineered Wood,"Glam,Farmhouse,Traditional",[],,"['OTTOMAN WITH STORAGE: Our Velvet Tufted Ottoman features a lift off lid with all over button tufting for a classic style to complement your living room furniture ', ' ROUND OTTOMAN: Upholstered in soft and durable velvet in a classic neutral cream our foot stool ottoman featured wood legs in a dark walnut finish ', ' OTTOMAN FOOT REST: Weighing at 14.3lbs our round ottoman with storage supports a capacity of up to 250lbs ', ' BEDROOM STORAGE: Easy to assemble and maintain our small storage ottoman can be spot cleaned ', ' SMALL OTTOMAN: Dimensions - 18 inches high x 19 inches wide x 19 inches deep']","This elegant round storage ottoman features a lift-off lid with all over button tufting for a classic design. Upholstered in a neutral tan fabric with a textured weave, it’s the perfect functional accent piece for your home. Use our round ottoman to store extra pillows or blankets in your bedroom, hide toys or game controllers in the family room, or conceal accessories in your entryway. Our Boho Tufted Storage Ottoman is available in a range of velvets and richly colored woven fabrics with wood legs in complementary finishes. Matching HomePop items are also available in the same color and fabric. Easy to assemble and maintain.","['Product Dimensions: 19""D x 19""W x 18""H', 'Color: Tan Woven', 'Brand: HomePop', 'Fabric Type: 100% Polyester', 'Base Material: Wood', 'Frame Material: Engineered Wood', 'Seat Height: 18 Inches', 'Product Care Instructions: Wipe with Dry Cloth', 'Maximum Weight Recommendation: 250 Pounds', 'Assembly Required: No', 'Size: Small', 'Style: Glam,Farmhouse,Traditional', 'Item Weight: 14.3 pounds', 'Manufacturer: HomePop', 'ASIN: B0BG6BJ3DL', 'Country of Origin: China', 'Item model number: K6171-F2251-V', 'Best Sellers Rank: #5,100,652 in Home & Kitchen (See Top 100 in Home & Kitchen) #6,662 in Ottomans']",e0a9985c-7c38-53a4-ab2d-f12e40fcb401,2024-02-02 18:56:10 +B0CKJ4YZC9,https://www.amazon.com/dp/B0CKJ4YZC9,"EFTILE HOME 2 Foot Stool Handmade Wooden 3 Legs Footrest for Living Room, Bedroom, Nursery, Patio,Hallway, Lounge, Decorative Furniture (16x14x14; Kiwi)",EFTILE HOME Store,$109.99,Only 3 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/41-mDeiQw+L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41-mDeiQw+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51kUoOa7q-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/412EaqhYCTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41lnH+NSKmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/417Jcn-ZXeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wM5uB7vdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ecBmADa4L._SS522_.jpg']",,EFTILE HOME,,"16""D x 14""W x 14""H","October 5, 2023",,Kiwi,Wood,,[],,"['DURABLE COMFORT: The Cotton seat of this footstool ensures lasting strength and comfort. Crafted with a solid wood frame and anti-slip feet, it provides reliable stability for indoor seating. Enjoy a sturdy and comfortable seating solution with this cotton footstool. ', ' PRODUCT DIMENSIONS: Size 16x14x14 inch, allow variance of +/- 1"" as the product is handmade. It comes ready to use, so no need to assemble. ', ' GREAT HOME ASSISTANT: This nature foot stool ottoman is a great home assistant, perfect as footrest under sofa/high bed, putting on shoes at the entryway, extra seating for living room or a small temporary table. This small footstool comes with specifically felt pads to prevent scratches on the floor and keep it from sliding. ', ' THOUGHTFUL GIFT IDEA: Our foot stool is a lovely gift that will keep on giving for many years to come. Surprise a friend or family member with one for a housewarming party, birthday, holiday, and other special occasions. Mix and match for a fun pop of color or choose one that best matches your décor and aesthetic. ', ' CARE INSTRUCTIONS: Spot clean; vacuum regularly; wipe spills immediately with a dry cloth; use soft cloth dipped with warm water and mild detergent for cleaning stains.']","Discover the versatility of our footstools, perfect for any room in your home – living room, dining room, bedroom, kitchen, patio, lounge, and more. Choose from a wide variety of textures and patterns, ensuring an eye-catching, functional home decor accent piece that suits your style. Our footstools make for a unique and delightful gift idea, especially for those who love to entertain and decorate their homes. With their unique design and easy assembly, these footstools are gifts that keep on giving for years to come.","['Product Dimensions: 16""D x 14""W x 14""H', 'Color: Kiwi', 'Brand: EFTILE HOME', 'Fabric Type: Cotton & Wood', 'Base Material: Wood', 'Frame Material: Wood', 'Seat Height: 16 Inches', 'Product Care Instructions: Spot Clean', 'Size: 16""x14""x14""(Set of 2)', 'Item Weight: 13.22 pounds', 'Manufacturer: EFTILE HOME', 'ASIN: B0CKJ4YZC9', 'Best Sellers Rank: #859,674 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,255 in Ottomans', 'Date First Available: October 5, 2023']",7f534b37-e16d-5584-918b-5ca3dee77b60,2024-02-02 18:56:10 +B0CKW44X29,https://www.amazon.com/dp/B0CKW44X29,"Soft Foot Stool Ottoman Footrest Vanity Stool with Storage Shelf, Velvet Multifunctional Modern Padded Shoe Changing Seat Step Stool Pouf for Makeup Room, Living Room, Bathroom, Metal Legs Black",HQHQHE Store,$37.99,Only 8 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/41oTGNme97L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41oTGNme97L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41N9ewzM1pL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51E5zvwFWOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51tVHK661ZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51xp4cRzMuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41p51rcKHeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41oBEdlZczL.SS125_SS522_.jpg']",,,,"13""D x 16""W x 18""H","October 11, 2023",,Black,Iron,,[],,"['【Comfortable and Cosy Seat Ottoman】Our shoe changing stool adopts an elegant minimalist style design, Vanity stool cushion is made of high resilience sponge foam covered with sumptuous smooth velvet fabric. skin-friendly and soft. High hardness metal legs makes this stool ottoman a strong sturdiness and not easy to deform. ', ' 【Additional Storage Shelf Design】The small shoe bench measures 13 x 16 x 18 inches overall with a bottom shelf that provides a storage shelf to organize your shoes. You can also use the shelf to store other accessories, such asbaskets, magazines and plants.This ottoman bench comes with specifically felt pads to prevent scratches on the floor and keep it from sliding. ', ' 【Multifunctional Upholstered Footstool】This stylish metal square ottoman can be used when getting dressed in the bedroom, putting on shoes at the entryway, extra seating, having a rest on a chair, or using it as a footrest under the desk. Elegant fashion design allows it to fit in any room. ', ' 【Easy to Assemble】Foot stool for living room is simple to install, follow the instructions and you can easily assemble him in a few minutes. Sturdy black metal legs makes this stool ottoman a strong sturdiness and long service life which holds up to 300 LBS, durable and steady. ', ' 【Versatile & Practical】This multipurpose ottoman can provide extra seating as a step stool/bench, serve as a storage box or work as a drinks desk/table/tray after flipping the lid over and many other practical options and daily uses, like a side desk to put your laptop by the sofa or bed, a footrest that you can put your feet up and release yourself, a step stool to help you get up to reach the high objects or extra seat for visiting friends and more.']",,"['Product Dimensions: 13""D x 16""W x 18""H', 'Color: Black', 'Brand: HQHQHE', 'Fabric Type: Velvet', 'Base Material: Metal', 'Frame Material: Iron', 'Shape: Rectangular', 'Seat Height: 18 Inches', 'Item Weight: 6 pounds', 'ASIN: B0CKW44X29', 'Date First Available: October 11, 2023']",3d3ed8f5-62bd-5fa4-b8e7-0f7db441630b,2024-02-02 18:56:11 +B0CM1B86CJ,https://www.amazon.com/dp/B0CM1B86CJ,"GAOMON Black 4 Drawer Dresser for Bedroom, Wood Chest of Drawers with Metal Legs, Modern Storage Dresser Chest Cabinet Organizer, Large Dresser for Living Room, Hallway, Closet",GAOMON,,Only 19 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Accent Furniture', 'Storage Cabinets']",https://m.media-amazon.com/images/I/41GkzVqoNyL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41GkzVqoNyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31vVQH9Pf1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ouUia3OIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51bImMFh-8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/411lYHBUe7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41U5WaobzKL._SS522_.jpg']",,,VC4-dresser6,"15.7""D x 23.6""W x 30.7""H","October 28, 2023",China,Black,,,[],,"['Elegant & Stylish: Delicate gold metal legs and handles combined with modern engraving patterns add appealing detail to this drawer dresser, and easily match any decoration style to add unique charm to your space. ', ' Spacious Storage: 15.7""D x 23.6""W x 30.7""H. GAOMON modern dresser for bedroom has 4 large drawers and can meet your all storage needs, It can better help you sort store, and keep all of your items and accessories organized. ', ' Multipurpose Usage: This drawer dresser just like an ornament is exquisite and beautiful. Modern style with simple wood texture perfect for multiple occasions like office, bedroom, and kitchen. You can use it as a clothing organizer/lingerie dresser or an accent storage cabinet for the living room. ', ' Durable Sturdy: Eco-friendly MDF board is waterproof and scratch-proof, and has good durability. 4 high-quality metal legs and anti-tip device enhance stability and ensure the safety of your family, meeting your pursuit of quality. ', ' Easy Assembled: The package includes clear instructions and marked parts so that you can quickly install this storage chest. Please contact us if you have any questions.']",,"['Brand: GAOMON', 'Product Dimensions: 15.7""D x 23.6""W x 30.7""H', 'Color: Black', 'Mounting Type: Floor Mount', 'Room Type: Bedroom', 'Special Feature: Storage', 'Furniture Finish: Gold', 'Product Care Instructions: Wipe with Dry Cloth', 'Assembly Required: Yes', 'Model Name: VC4-dresser', 'Size: 4-Drawer', 'Number of Pieces: 1', 'Item Weight: 56.9 pounds', 'Country of Origin: China', 'Item model number: VC4-dresser6', 'ASIN: B0CM1B86CJ', 'Best Sellers Rank: #3,093,812 in Home & Kitchen (See Top 100 in Home & Kitchen) #5,074 in Storage Cabinets', 'Date First Available: October 28, 2023']",2ba43140-ce21-568b-9680-f8c09f438af8,2024-02-02 18:56:11 +B0B6HXHQSW,https://www.amazon.com/dp/B0B6HXHQSW,"Alise 24-Inch Bathroom Lavatory Towel Rack Towel Shelf with 2 Towel Bars Wall Mount Towel Holder,GYT7060-C SUS 304 Stainless Steel Polished Chrome",Alise Store,$53.99,In Stock,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/51FqMNM3yYL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51FqMNM3yYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41SxUN-rNIL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512OwXo2OnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51cLE9AbUqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/513xBrRQtoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61m8bPWPzML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51XzfbyKnwL._SS522_.jpg']",,Alise,GYT7060-C,24 x 9 x 5.2 inches,"July 14, 2022",China,,,,[],"[{'Color': ' Polished Chrome '}, {'Material': ' Stainless Steel '}, {'Product Dimensions': ' 24""L x 9""W x 5.2""H '}, {'Finish Type': ' Polished '}, {'Brand': ' Alise '}, {'Installation Type': ' Wall-Mounted '}]","['Constructed of High quality SUS304 stainless steel, rust-free easy to clean,sturdy and durable ', ' Polished chrome finish, smooth and bright look, build to resist daily scratches,corrosions and tarnishing ', ' Round base and round rod design, beauty and attractive appearance ', ' 24-Inch Longer design with 2 towel bars, more storage space, and more practical. Ideal for use in bedrooms, bathrooms,and closets ', ' All installed hardware is included; Easy to install.']",,"['Product Dimensions: 24 x 9 x 5.2 inches', 'Item Weight: 3.14 pounds', 'Manufacturer: Alise', 'ASIN: B0B6HXHQSW', 'Country of Origin: China', 'Item model number: GYT7060-C', 'Customer Reviews: 4.9 4.9 out of 5 stars \n 21 ratings \n\n\n 4.9 out of 5 stars', 'Best Sellers Rank: #398,510 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #1,389 in Bath Towel Bars', 'Date First Available: July 14, 2022']",bf5313ec-38d6-56ac-9845-afa3acd737ea,2024-02-02 18:56:12 +B09DLBNY6W,https://www.amazon.com/dp/B09DLBNY6W,"Seventable Nightstand with Charging Station and LED Lights, Modern Design End Side Table with 2 Drawers, Nightstand Open Compartment for Bedroom, Black",Seventable Store,$64.99,In Stock,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Nightstands']",https://m.media-amazon.com/images/I/41Wn14U8LlL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Wn14U8LlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41A9c-b6McL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31SU6Lf4klL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51i6+pZJHjL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51r-rwft8ML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Qy9rRyW4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5134U+4g4ML._SS522_.jpg']",,,,"13.8""D x 15.7""W x 25.2""H",,,Black,Engineered Wood,Modern,[],,"['【20 Colors RGB LED Lights】The color of the light strip is variable according to needs and scenes. The bedside nightstand comes with beautiful multi-function RGB LED light. The LED light will make your home looks more modern and fashionable. The light strip is controlled by a remote control (20 dynamic colors, 21 dynamic modes, 8 levels of dynamic speed, 8 levels of brightness adjustment) ', ' 【2 AC & 2 USB Charging Station】The nightstand with open compartment is arranged with 2AC+2USB Socket. One USB ports as one of them is tied up with the led lights. It provides convenience for charging your phone, earphone, desk lamp, and other electrical appliances. ', ' 【Large Storage Space】 This night stand with 2 drawers offers plenty of space for organizing small items. And the open space is convenient for the daily use. Suitable for any room, such as bedroom, dining room, office play room. ', ' 【Durable and Sturdy Material】The night stand is made of particle board material that is safe and environmentally friendly. High quality waterproof surface treatment, easy to clean and maintain, durable. The bedside table can hold up to 44 pounds, and the drawer 11 pounds. ', ' 【Easy to Assemble】All parts and tools are included. Follow the installation instructions after receiving the product. It is estimated that it will take 30 minutes to complete the assembly.']",,"['Brand: Seventable', 'Shape: Rectangular', 'Room Type: Living Room', 'Color: Black', 'Finish Type: black', 'Furniture Finish: Melamine', 'Target Gender: Unisex', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 1,040 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #97,037 in Home & Kitchen (See Top 100 in Home & Kitchen) #134 in Nightstands', 'Style: Modern', 'Table design: Nightstand', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Product Dimensions: 13.8""D x 15.7""W x 25.2""H', 'Item Width: 15.7 inches', 'Size: Large', 'Item Weight: 11 Pounds', 'Maximum Weight Recommendation: 44 Pounds', 'Number of Items: 1', 'Number of Drawers: 2', 'Frame Material: Engineered Wood', 'Top Material Type: Engineered Wood', 'Is Stain Resistant: No', 'Special Feature: Charging Station, Easy Assembly, Storage, USB Port, Led Light, Sliding', 'Is Foldable: No', 'Mounting Type: Floor Mount', 'Base Type: Pedestal', 'Indoor/Outdoor Usage: Indoor']",06e3b025-a397-5081-8078-9c2140875a89,2024-02-02 18:56:13 +B08C7Y4RB3,https://www.amazon.com/dp/B08C7Y4RB3,"Furinno Coffee Table with Bins, Espresso/Brown & Simplistic End Table, Espresso/Black",Furinno Store,$63.82,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'Coffee Tables']",https://m.media-amazon.com/images/I/31CY4VJNyxL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31CY4VJNyxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41bloaGXuZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31l9M1Tk0fL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/318o58J+fZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41c39x1l-lL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41sJoEiHi5L.SS125_SS522_.jpg']",,,,,,,Espresso/Brown,"Beech,Particle Board",Modern,[],,"['Product 1: Simple stylish design comes in multiple color options functional and suitable for any room. ', ' Product 1: Material: Particle Board, non-woven bins. ', ' Product 1: Fits in your space, fits on your budget. ', ' Product 1: Sturdy on flat surface. Some assembly required. Please see instruction. ', ' Product 2: Sold in Set of two; fits in Y our space, fits on your budget ', ' Product 2: Material: CARB compliant composite wood and PVC tubes ', ' Product 2: Sturdy on flat surface; Easy no hassle no tools 5-minutes assembly even a kid can accomplish ', ' Product 2: Please Read the dimension carefully; perfect for small area end table or night stand; can be used as indoor plant stand as well']","Furinno Coffee Table with Bins, Espresso/BrownFurinno Simple Design Home Living Sets consist of Coffee table, end table, TV entertainment stands, and storage cabinets. The home living set comes in multiple color options - espresso, dark brown wood grain and steam beech. These models are designed to fit in your space, style and fit on your budget. The main material, medium density composite wood, is made from recycled materials of rubber trees. All the materials are manufactured in Malaysia and compliant with CARB regulations. There is no foul smell, durable and the material is the most stable amongst the medium density composite woods. A simple attitude towards lifestyle is reflected directly on the design of Furinno Furniture, creating a trend of simply nature.Care instructions: wipe clean with clean damped cloth. Avoid using harsh chemicals. Pictures are for illustration purpose. All decor items are not included in this offer.Furinno Simplistic End Table, Espresso/BlackThis simplistic Series end table two-piece set is designed to fit in your space, your style and fit on your budget. This unit is so simple, both in design and assembly. It uses the turn-s-tube mechanism to assemble the unit in 5 minutes. It is proven to be the most popular RTA furniture due to its functionality, price, and the no hassle assembly. The DIY project in assemble these products can be fun for kids and parents. There are no screws involved, thus it is totally safe to be a family project. Just turn the tube to connect the panels to form a storage shelf.","['Brand: Furinno', 'Shape: Rectangular', 'Color: Espresso/Brown', 'Finish Type: wooden grain', 'Furniture Finish: Black', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 424 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #2,003,106 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,346 in Coffee Tables', 'Special Feature: Storage', 'Base Type: Legs', 'Item Width: 31.4 inches', 'Number of Items: 1', 'Frame Material: Wood', 'Top Material Type: Beech,Particle Board', 'Style: Modern', 'Table design: Coffee Table', 'Pattern: Table + End Table, Espresso/Black', 'Assembly required: Yes', 'Assembly Instructions: Require Assembly']",2c7902b4-ae0c-5ed9-9cbc-b6927d0b3347,2024-02-02 18:56:14 +B09Q1ZHQFR,https://www.amazon.com/dp/B09Q1ZHQFR,"Mod Made Mid Century Modern Chrome Wire Counter Stool for Bar or Kitchen, Set of 2, Black",Mod Made Store,$206.61,Only 1 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/41BxXleMgGL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41BxXleMgGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Q8iJxtlVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31WuL2r996L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41haQ+wH8+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A1kasF-fMkL.SS125_SS522_.png ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,Mod Made,MM-8033LS-BKSet2,"19""D x 21""W x 39""H",,China,Black Pad,,Straight,[],,"['Poly Urethane ', ' Contemporary modern design, Sold as set of 2 ', ' Faux Leather removeable seat pads ', ' Plastic foot stoppers to protect floor ', ' Simple assembly required ', ' Counter height, perfect for counters 35in.-39 in. high; Overall: 20.5 in.W x 19 in.D x 41 in.H; Seat height: middle point-25 in., corner point-27 in.']","Enjoy this simple, yet stylish chrome wire counter stool, complete with removable leatherette seat pad for comfort. Adorn your bar, kitchen or dining area with this polished modern style stool.","['Product Dimensions: 19""D x 21""W x 39""H', 'Color: Black Pad', 'Brand: Mod Made', 'Style: Modern', 'Furniture Finish: Chrome', 'Leg Style: Straight', 'Maximum Weight Recommendation: 200 Pounds', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 15 pounds', 'Manufacturer: Mod Made', 'ASIN: B09Q1ZHQFR', 'Country of Origin: China', 'Item model number: MM-8033LS-BKSet2', 'Customer Reviews: 1.0 1.0 out of 5 stars \n 1 rating \n\n\n 1.0 out of 5 stars', 'Best Sellers Rank: #3,954,375 in Home & Kitchen (See Top 100 in Home & Kitchen) #8,198 in Barstools', 'Fabric Type: Poly Urethane', 'Finish types: Glossy', 'Warranty Description: 90 day after receipt of the merchandise.', 'Batteries required: No', 'Included Components: Seat, Seat Pad, Base']",0ecaef9e-1dbd-5183-b8b2-94d290a435ac,2024-02-02 18:56:14 +B0CFSPXPYF,https://www.amazon.com/dp/B0CFSPXPYF,"Bloomingville 15 Inches Mango Wood and Metal Organic Shaped Shelf, Matte Black Wall Mirror",Bloomingville Store,,Only 5 left in stock (more on the way).,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/21-b0yTRSNL._SS522_.jpg,"['https://m.media-amazon.com/images/I/21-b0yTRSNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Pkd9AFC8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31A6P9mbRsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31dVxHZm10L._SS522_.jpg']",,,,"24""L x 16""W",,,Black,Metal,Rustic,[],"[{'Brand': ' Bloomingville '}, {'Room Type': ' Office '}, {'Shape': ' Rectangular '}, {'Product Dimensions': ' 24""L x 16""W '}, {'Style': ' Rustic '}]","['Elevate the decor with this stunning organic-shaped wall mirror crafted from mango wood and metal, it features a unique design that blends natural elements with sleek modernity ', ' This wall mirror seamlessly combines contemporary and rustic elements, making it suitable for a variety of interior design styles such as bohemian, eclectic, or Scandinavian-inspired space ', ' The mirror comes with an integrated hanging mechanism, allowing for easy installation; the inclusion of a convenient shelf provides a practical space to display small decor items, such as plants, candles, or personal mementos ', ' Made of mango wood, with glass and metal properties ', ' The main item measures 16 inches long, 6 inches thick and 24 inches tall']","Mirrors are more than just functional objects; they can also enhance the style and beauty of any home or office space. Mirrors can create the illusion of space, reflect light, and add drama to any wall. Whether looking for a round, oval, square, or rectangular mirror, there is a shape to suit any preference and occasion. Whether looking for a metal, wood, glass, or ceramic frame, there is a material to match any design and mood. Whether looking for a floor, wall, or table mirror, there is a size to fit any space. Check them today and find the best mirrors for any space.","['Room Type: Office', 'Mounting Type: Tabletop Mount', 'Frame Type: Framed', 'Shape: Rectangular', 'Style: Rustic', 'Color: Black', 'Theme: Rustic', 'Best Sellers Rank: #4,076,410 in Home & Kitchen (See Top 100 in Home & Kitchen) #10,266 in Wall-Mounted Mirrors', 'Brand: Bloomingville', 'Number of pieces: 1', 'Number of Items: 1', 'Material: Metal', 'Product Dimensions: 24""L x 16""W', 'Assembly required: No']",743afd60-46fa-58dc-a8f9-0bb0c780cb15,2024-02-02 18:56:15 +B0C3TYNRJC,https://www.amazon.com/dp/B0C3TYNRJC,"Gnyonat Accent Chair with Ottoman,Living Room Chairs,Reading Chairs for Bedroom Comfy,Soft Fabric Reading Chair (Blue)",Gnyonat,$219.00,Only 2 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/41Gau9oSdRL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Gau9oSdRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41fAV-Lr3wL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51JPttZmMZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41-nYGWBPHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41kT6pC8qRL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41MB46luzZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51qcQEMgVfL._SS522_.jpg']",,Gnyonat,BT009,"18.89""D x 26.38""W x 38.58""H","April 28, 2023",China,Blue,,,[],,"['【Overall Dimension】The size of this accent chairs with ottoman: 26.38""X24.02""X38.58""(WxDxH);Besides,the living room chairs detachable seat It\'s conveniently removed for cleaning. ', ' 【Adjustable backrest】This accent chairs with ottoman backrest five-position adjustment, you can meet to meet different needs. Whether you are office, game, reading, catching up on drama, lounging, you can meet different angles, different lines of sight, so that your waist and line of sight to get relief. ', ' 【Accent Chair with Ottoman】Our accent chairs with ottoman equipped with a soft ottoman. You can rest your feet on it to experience the ultimate enjoyment and sleeping. The ottoman also can be used as stool alone,Meet your multiple needs for sitting and lying. ', ' 【Soft and Comfortable】This Modern living room chairs is make of high-quality linen fabric,high-density laminated wood structure and thicker sponges,wide armrests will provide your body with sufficient and comfortable space. ', ' 【Multiple Scenes】This accent chairs with ottoman Ideal for living room, bedroom, home theater.The chair with ottoman also suitable for leisure areas, offices, open roofs and study rooms to read books, watch TV, siesta time.']",,"['Brand: Gnyonat', 'Color: Blue', 'Product Dimensions: 18.89""D x 26.38""W x 38.58""H', 'Special Feature: Adjustable Backrest', 'Product Care Instructions: Wipe Clean', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Office, Reading, Gaming', 'Pattern: Solid', 'Room Type: Office, Bedroom, Living Room', 'Included Components: Cushion', 'Shape: L-Shaped', 'Model Name: BT', 'Surface Recommendation: Hard Floor', 'Form Factor: Wood', 'Seat Depth: 18.89 inches', 'Item Weight: 30.5 pounds', 'Manufacturer: Gnyonat', 'ASIN: B0C3TYNRJC', 'Country of Origin: China', 'Item model number: BT009', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 3 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #1,147,642 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,961 in Living Room Chairs', 'Date First Available: April 28, 2023']",55848e8c-e963-5855-9a45-d2ab1db4f990,2024-02-02 18:56:16 +B0BZNKKCC3,https://www.amazon.com/dp/B0BZNKKCC3,"SLLFLY Water Bottle Organizer,Stackable Water Bottle Holder for Cabinet Kitchen,Wine Drink Rack for Kitchen Countertop Freezer Pantry Organization and Storage",SLLFLY,$13.99,In Stock,"['Home & Kitchen', 'Kitchen & Dining', 'Storage & Organization', 'Racks & Holders', 'Wine Racks & Cabinets', 'Freestanding Wine Racks & Cabinets']",https://m.media-amazon.com/images/I/51EAJVwOuLL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51EAJVwOuLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51IJxqitShL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ZeNVN-ggL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51FsHJB7WwL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NXLNc1mAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51V15Y8WNgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51E6pr4TG2L._SS522_.jpg']",,,wb0-1,"8""D x 11.8""W x 13.7""H","May 20, 2023",,Clear,,Clear,[],,"['【DECLUTTER YOUR SPACE IN STYLE】This multifunctional water bottle organizer provides ample storage for all your bottle/cup/drinks and more.Streamlined design-Four layers rack hold up to 12 bottles of various shapes and sizes, freeing up precious counter space.Modular and customizable, the shelves can be stacked high or rearranged to suit your needs.Staying neat and tidy looked so good. ', ' 【NEVER HUNT FOR A BOTTLE AGAIN】With slots for up to 12 water bottles at once, this ingenious water bottle organizer for cabinet puts every bottle right at your fingertips.No more reaching to the back of cluttered cabinets or digging through an overpacked fridge.Your daily drink just got a whole lot simpler.Grab, fill and go without skipping a beat. ', ' 【STRONG, DURABLE AND CRYSTAL CLEAR】Four layers water bottle organizer.Size as 11.8"" × 8"" × 13.7"" provide double the storage of typical water bottle storage organizer.Premium 5mm thick acrylic offers unbreakable strength and easily to the weight of stainless steel or glass bottles. The sleek transparent material gives a floating appearance and allows your bottles to shine through, accenting your kitchen decor. ', "" 【FLEXIBLE FOR ANY HOME】With its modular design, this space-efficient organizer adjusts to your unique needs and fits seamlessly into any home. Stack the shelves up high on the counter, arrange them into a double-decker for extra height, or separate the pieces and use individually. However they're configured, your essential cup organzier will no longer be an eyesore or take up valuable kitchen real estate. "", ' 【MAKE STAYING HYDRATED A HABIT】Keeping water on hand and in easy reach encourages you to drink more throughout the day. Staying well hydrated has significant benefits for your health, mood and mental well-being.Make it simple to keep thirst at bay with this must-have kitchen,freezer, cupboards and pantry water bottle organizer . Drink up!']",,"['Brand: SLLFLY', 'Color: Clear', 'Size: 4 Pack', 'Product Dimensions: 8""D x 11.8""W x 13.7""H', 'Style: Clear', 'Product Care Instructions: Wipe with Dry Cloth', 'Item Weight: 1.5 pounds', 'ASIN: B0BZNKKCC3', 'Item model number: wb0-1', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 8 ratings \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #207,433 in Kitchen & Dining (See Top 100 in Kitchen & Dining) #393 in Freestanding Wine Racks & Cabinets', 'Date First Available: May 20, 2023']",6aaac02f-cfdb-5330-88e5-fd88a1857f51,2024-02-02 18:56:16 +B0BL9CDX29,https://www.amazon.com/dp/B0BL9CDX29,"jela Kids Couch Large, Floor Sofa Modular Funiture for Kids Adults, Playhouse Play Set for Toddlers Babies, Modular Foam Play Couch Indoor Outdoor (57""x28""x18"", Charcoal)",jela Store,$179.00,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Sofas']",https://m.media-amazon.com/images/I/41Zury7vcHL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Zury7vcHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41l9v+LwEPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Hc0foLEyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51z1JG4amXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51WUcffzSbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51KhVijeL3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51fHzNac0wL.SS125_SS522_.jpg']",,jela,mini kids couch,"28""D x 57""W x 18""H","November 3, 2022",,Charcoal,Suede,Padded,[],,"['New trendy toy furniture – The kids floor sofa set includes 2 basic parts overall（56.7""x28.3""x17.3""），2 triangle wedges (19.7""x12.6""x9.4""), 2 semi-circular handrails (8.7"" x 28.3"") for free assembly. ', ' Selected material for kids – Jela modular furniture adapts premium eco-friendly and nontoxic material to care your kids’ health with soft touch sense. The whole product has been passed CertiPUR-US which prohibits any CFCs use, or any harmful elements through the whole manufacturing. ', "" Unleash children's creativity – The 8pcs kids sofa set can be free combined up to your innovative creative idea such as tree house, reading corner，little playhouse，play table, etc. Build an infinitely creative play land on their own and shine your every home interior! Easy to set up and collect – Best Zippers make setup quick and smooth. The high-density polyurethane foam ensures you easy to storage and bounce back completely like first time. "", ' A warm interactive space for family – The kids couch set creates a real fantastic scene to increase interactive activity for a whole family. You will get more chance to accompany your kids to enjoy their little world! Nice packaging & stellar service – The 8pcs modular kids sofa come with nice shipping and package to avoid damage. Any query please feel free to contact us and we will reply immediately. ', ' Please Note: The kids play couches combine the function of sofa couch and building forts. Especially designed for kids exploring, all the parts are modular and removable . We recommend customers who only need the adult sofa couch function should use it against wall to keep it more fixed. PLEASE CHECK DIMENSION BEFORE YOUR PURCHASE.']",,"['Brand: jela', 'Manufacturer: jela', 'ASIN: B0BL9CDX29', 'Item model number: mini kids couch', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 78 ratings \n\n\n 4.6 out of 5 stars', ""Best Sellers Rank: #119,192 in Home & Kitchen (See Top 100 in Home & Kitchen) #51 in Kids' Sofas"", 'Date First Available: November 3, 2022', 'Number of Pieces: 8', 'Included Components: The kids floor sofa set includes 2 basic parts overall（56.7""x28.3""x17.3""），2 triangle wedges (19.7""x12.6""x9.4""), 2 semi-circular handrails (8.7"" x 28.3"") for free assembly.', 'Assembly Required: No', 'Material: Suede', 'Special Feature: Removable Cover', 'Product Dimensions: 28""D x 57""W x 18""H', 'Size: Medium 8Pcs', 'Seating Capacity: 2', 'Weight Limit: 329.99 Pounds', 'Seat Depth: 28.3 inches', 'Seat Height: 8.7 Inches', 'Type: Loveseat', 'Color: Charcoal', 'Pattern: Solid', 'Style: Classic Suede', 'Room Type: Kids Room', 'Shape: Rectangular', 'Arm Style: Padded']",1a77ce28-bd86-56a3-935a-f0fd986a2259,2024-02-02 18:56:17 +B07DQ6GPK6,https://www.amazon.com/dp/B07DQ6GPK6,Flexson TV Mount Attachment for Sonos Beam - Black,Flexson Store,$59.00,In Stock,"['Electronics', 'Television & Video', 'Accessories', 'TV Mounts, Stands & Turntables', 'TV Wall & Ceiling Mounts']",https://m.media-amazon.com/images/I/31vbAI-UxEL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31vbAI-UxEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41H+GHjjGNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/310N5VYHUNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31apTYLvIYL._SS522_.jpg']",,Flexson,FLXBTV1021,12.99 x 4.72 x 5.12 inches,"July 16, 2018",,Black,,,[],"[{'Mounting Type': ' Wall Mount '}, {'Movement Type': ' Articulating '}, {'Brand': ' Flexson '}, {'Material': ' Metal '}, {'TV Size': ' 65 Inches '}, {'Color': ' Black '}, {'Minimum Compatible Size': ' 32 Inches '}, {'Compatible Devices': ' Television, Sonos Beam '}]","['Allows a Sonos Beam to be added to an existing TV wall mount ', ' Bespoke design securely holds the Sonos Beam ', ' Allows you to fix the Sonos Beam to any existing TV Mount ', ' Sonos Beam moves with your TV when using a full-motion mount ', ' Vertical and horizontal adjustment allows perfect alignment with screen']",,"['Product Dimensions: 12.99 x 4.72 x 5.12 inches', 'Item Weight: 2.68 pounds', 'ASIN: B07DQ6GPK6', 'Item model number: FLXBTV1021', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 57 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #2,583 in TV Wall & Ceiling Mounts #2,646 in Electronics Mounts', 'Is Discontinued By Manufacturer: No', 'Other display features: CE', 'Form Factor: TV Mount Attachment', 'Color: Black', 'Whats in the box: 1 x TV Mount Attachment', 'Manufacturer: Flexson', 'Date First Available: July 16, 2018']",3474747b-b077-518d-8f7a-0e2a634aff9d,2024-02-02 18:56:17 +B07K2Q2NRC,https://www.amazon.com/dp/B07K2Q2NRC,"Small Collapsible Kids Hamper Fold Office Waste Bins Pop Up Basket Laundry Sorter For Bedroom Closet,Living Room,Camp Pink",DurReus,$6.75,Only 7 left in stock - order soon.,"['Home & Kitchen', 'Storage & Organization', 'Laundry Storage & Organization', 'Pop-Up Laundry Hampers']",https://m.media-amazon.com/images/I/41v-ozvbCqL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41v-ozvbCqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41RrWhoLPwL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Ufc5lFhOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51m9QSCefcL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41G3md7Yh5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51J3naiqzdL._SS522_.jpg']",,No,,"11.8""L x 11.8""W x 19.6""H","November 17, 2018",,"11.8""*19.7"" Pink",Polyester,现代,[],"[{'Product Dimensions': ' 11.8""L x 11.8""W x 19.6""H '}, {'Brand': ' DurReus '}, {'Color': ' 11.8""*19.7"" Pink '}, {'Material': ' Polyester '}, {'Style': ' 现代 '}, {'Special Feature': ' pink '}, {'Shape': ' Rectangular '}, {'Package Information': ' Basket '}, {'Included Components': ' Handle '}, {'Size': ' Small '}]","['Size: 11.8""X11.8""x19.6""(30X30X50cm) Pop-up mesh hampers easy to use and fold flat,Small but still big enough for a load of towels,hubby’s weekly work clothes or normal weekly load ', ' Usage 1: Easy to fold and lay flat in luggage,works well for travel,you can put on a cruise to keep the cabin organized. Keep one in bedroom closet for items or put one in the main floor laundry room for stray socks that land in the living room(unlined,mesh for air circulation).Use collapsible laundry basket to hold rolled up newspaper and other paper goods or as a umbrella holder.Use as a portable pop up trash can for children room ', ' Usage 2: Folding kids storage basket Perfect for nursery items(bedding,bottles,blankets,diapers),toys,socks,towels,magazines,lightweight clothing,stuffed animals,plushies,hobby supplies and items,art&craft supplies,and other personal items ', ' Occasion: Foldable laundry baskets perfect for college dorm,small apartment,RV,traveling or anywhere space is limited ', "" Notice:The cute pop-up hamper is light and small,it suit to keep your children's room environment clean and tidy,please confirm your needs before purchasing""]",,"['Product Dimensions: 11.8""L x 11.8""W x 19.6""H', 'Brand: DurReus', 'Color: 11.8""*19.7"" Pink', 'Material: Polyester', 'Style: 现代', 'Special Feature: pink', 'Shape: Rectangular', 'Package Information: Basket', 'Included Components: Handle', 'Size: Small', 'Number of Pieces: 1', 'Number of Compartments: 1', 'Mounting Type: Floor Mount', 'Capacity: 62.8 Liters', 'Room Type: Bedroom', 'Item Weight: 3.06 ounces', 'Is Discontinued By Manufacturer: No', 'Special Features: pink', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B07K2Q2NRC', 'Customer Reviews: 2.8 2.8 out of 5 stars \n 46 ratings \n\n\n 2.8 out of 5 stars', 'Best Sellers Rank: #353,800 in Home & Kitchen (See Top 100 in Home & Kitchen) #162 in Pop-Up Laundry Hampers', 'Date First Available: November 17, 2018']",8f45da88-b796-55ec-b377-6e6c63727bdc,2024-02-02 18:56:18 +B09QCMCPYC,https://www.amazon.com/dp/B09QCMCPYC,"Diyalor 2.6 Gallon Small Trash Can with Handle,Durable Bathroom Wastebasket Garbage Can (Pack of 2, Black)",Diyalor,$21.99,Only 9 left in stock - order soon.,"['Home & Kitchen', 'Storage & Organization', 'Trash, Recycling & Compost', 'Wastebaskets']",https://m.media-amazon.com/images/I/219EPmkeeJL._SS522_.jpg,"['https://m.media-amazon.com/images/I/219EPmkeeJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31VlICSHVEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31hiQBaObFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414DhGnn24L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31MNtnEA8sL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31TT2-jTbEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41-1w7okY8L._SS522_.jpg']",,,,,,,,,,[],"[{'Brand': ' Diyalor '}, {'Capacity': ' 2.6 Gallons '}, {'Color': ' Black '}, {'Opening Mechanism': ' Open-Top '}, {'Material': ' Polypropylene '}, {'Recommended Uses For Product': ' Bathroom,Kitchen,Office '}, {'Room Type': ' Bathroom,Bedroom,Kitchen,Office '}, {'Special Feature': ' Odor Seal '}, {'Shape': ' Rectangular '}, {'Product Dimensions': ' 12.6""L x 5.7""W x 10.6""H '}]","['The trash can is Constructed by high quality PP material,no smell and very durable ', ' Garbage can size: 12.6*5.7*10.6 inch ', ' Ideal for using in the kitchen bathroom bedroom office and more ', ' Easy to clean and perfect for using in the narrow place ', ' 100% customer satisfaction, if you have any questions or concerns ,please don’t hesitate to contact us,We will try our best to help you solve the problems.']","Diyalor 2.6 Gallon Small Trash Can with Handle,Durable Bathroom Wastebasket Garbage Can",[],3d5de05a-beab-55fd-9aec-8b20c826f883,2024-02-02 18:56:18 +B0C32RWCV7,https://www.amazon.com/dp/B0C32RWCV7,"DAYTOYS C Shaped End Table-Movable Sofa Table with Metal Frames-Height Adjustable Sofa Tables with Storage Basket for Living Room, Bedroom, Bedside (Black)",DAYTOYS Store,$39.98,Only 1 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41pgntXmHrL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41pgntXmHrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41lliSo9+WL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41a3SWjVfBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41SqRyKwQsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41OUZeWpUGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51osAr-HMRL._SS522_.jpg']",,,,"19.68""D x 11.81""W x 23.62""H",,,Black,Wood,Classic,[],,"['Fits Small Spaces：This slim side table sized at 23.62*19.68*11.81 easily fits the gaps between your couches or the tight spots beside your bed ', ' ADJUSTABLE HEIGHT: C shaped side table adjustable height between 23’’ and 31’’ for items of different heights can be put down to meet your usage habits. ', ' Easy Assembly：Simple structure, numbered parts, and easy-to-follow instructions allow you to finish the assembly of this sofa side table effortlessly occasional table ', ' Three Tier Storage Shelves：This C shaped table is designed to 3 layer storage space to put your item. The top of the table can be put your laptop and coffee when you need to work at home; You can put your books or some little item on the middle layer; The bottom layer have the metal mesh fence to prevent your item for falling. These three layers can maximize the use of your space and make your home tidy. ', ' Rubber Rolling Casters with Breaks：Two of the casters under the table are equipped with breaks to stop and not slide when the side table is in use. The breaks are easy to operate with no efforts. All of the wheels are made of 100% rubber to prevent slipping.']","Classic Style-This rotating sofa side table features Multiple wood-grain color, its simple and stylish design style perfectly suits for your home or office; Alternatively, smooth lines and right-angle borders bring a sense of comfort and pleasure, you'd fall in love with it Elegant Design - This rotating sofa side table features a wood-grain color, its simple and stylish design style perfectly suits for your home or office","['Brand: DAYTOYS', 'Shape: Semicircular', 'Room Type: Living Room, Home Office', 'Included Components: Assembly Guide', 'Color: Black', 'Finish Type: wooden grain', 'Furniture Finish: Black', 'Model Name: End Tables', 'Model Number: BJHEI01', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 8 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #1,693,942 in Home & Kitchen (See Top 100 in Home & Kitchen) #5,966 in End Tables', 'Product Dimensions: 19.68""D x 11.81""W x 23.62""H', 'Item Width: 11.81 inches', 'Item Weight: 9.92 Pounds', 'Number of Items: 1', 'Style: Classic', 'Table design: End Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Frame Material: Wood', 'Base Type: Leg']",3837db36-2780-5641-bae8-3a4ac03f6bbd,2024-02-02 18:56:19 +B095HPZ7DD,https://www.amazon.com/dp/B095HPZ7DD,"Phantoscope Storage Ottoman Round15 Inch, Velvet Folding Storage Boxes Footrest Foot Ottoman Toy Box, Padded Seat for Dorm Living Room Bedroom, Support 220lbs Coffee",Phantoscope Store,$29.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/31V7JNrxMgL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31V7JNrxMgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51VpeQjrzTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ESQYAgVfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41x0snc6N2L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51hFJ9AmADL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41XW95myy8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51eQy3HHOxL._SS522_.jpg']",,Phantoscope,,"15""D x 15""W x 15""H",,,Coffee,Engineered Wood,Modern,[],,"['Velvet ', ' 【SOFT AND STABLE】- Premium velvet fabric and high resilience sponge padding ensure the soft touch of the storage foot rest. Crafted with high quality thickened MDF boards, our ottoman supports up to 220 LBS, which is suitable as an extra seat when friends come by ', ' 【MORE THAN A OTTOMAN】- Hidden storage to reduce mess, the large box provides ample storage space for organizing throw pillows, toys, clothes, books, blankets and many other sundries, which can contain 28L’s stuffs. What’s more, the foot stool also can be a temporary table ', ' 【SECONDS TO ASSEMBLE】- The storage chest can be easy set up and assemble in few seconds, suitable for living room, bedroom, entryway, lounge and more. Easily folded flat when not in use, and it can be kept behind the door to save space ', ' 【SWEET DESIGN】- Special round-shaped makes this velvet folding ottoman safe for children and pets.It is also contributed smooth line, great sturdiness and stableness, which can be a unique decoration in your home. Different color fit different style. You can get the appropriate one no matter what your home decoration style is ', ' 【EXCELLENT FOR SMALL SPACES】- The storage ottoman measures 15”L x 15”W x 15”H when set up, which can provide ample space to tidy stuffs.While it can be tucked flat in only 15”L x 15”W x 2.5”H with a weight of 5 LBS, which can be token along with conveniently']",,"['Product Dimensions: 15""D x 15""W x 15""H', 'Color: Coffee', 'Brand: Phantoscope', 'Fabric Type: Velvet', 'Base Material: Engineered Wood', 'Frame Material: Engineered Wood', 'Seat Height: 15 Inches', 'Product Care Instructions: Wipe with Dry Cloth', 'Maximum Weight Recommendation: 220 Pounds', 'Assembly Required: Yes', 'Size: 15"" x 15""x 15""', 'Style: Modern', 'Storage Volume: 28 Liters', 'Item Weight: 4.29 pounds', 'Manufacturer: Phantoscope', 'ASIN: B095HPZ7DD', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 279 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #134,620 in Home & Kitchen (See Top 100 in Home & Kitchen) #241 in Ottomans', 'Batteries required: No']",9a754616-914c-54b3-8f54-eabfce76f561,2024-02-02 18:56:20 +B019C4PPTU,https://www.amazon.com/dp/B019C4PPTU,Casual Home Night Owl Nightstand with USB Ports-Espresso,Casual Home Store,$111.95,In Stock,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Nightstands']",https://m.media-amazon.com/images/I/3142Zp+eYuL._SS522_.jpg,"['https://m.media-amazon.com/images/I/3142Zp+eYuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41DB3ilTL4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41-rysZVLdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31OhWKoY6WL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41kI8CWlt0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41iVJPpuObL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/61CfNR8EHgL.SS125_SS522_.jpg']",,,,"14.25""D x 17.5""W x 24.5""H",,,Espresso,"Walnut,Solid Wood,MDF",Night Owl,[],,"['4-USB charging ports built-in for convenient device charging ', ' Spacious open lower shelf space and convenient drawer increases your storage capability ', ' Four (4) durable legs provide balanced support for your belongings ', ' Solid wood construction for increased durability and longevity with light an easy assembly ', ' Dimensions: 24.5 inches high x 14.25 inches wide x 17.5 inches deep; Weight: 13.67 lb. ', ' Not Made In China']","The Night Owl Solid Wood Nightstand brings a cozy appeal to your bedroom or living room. Featuring a unique 4-Port USB Charging Station that allows easy access for charging cell phones, digital cameras, personal media players, and more at night. Open shelf and drawer provide ample space to store or deocrate. Tech-friendly features with classic style that you can count on.","['Brand: Casual Home', 'Shape: Rectangular', 'Room Type: Bedroom, Living Room', 'Included Components: Night Stand', 'Color: Espresso', 'Finish Type: Espresso', 'Furniture Finish: espresso', 'Model Name: Casual Home 647-23', 'Model Number: 647-23', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 3,292 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #164,333 in Home & Kitchen (See Top 100 in Home & Kitchen) #240 in Nightstands', 'Style: Night Owl', 'Table design: Nightstand', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Partial Assembly,Avoid Power Tools', 'Warranty Type: Limited', 'Specific Uses For Product: Residential Use', 'Recommended Uses For Product: Residential Use', 'Product Dimensions: 14.25""D x 17.5""W x 24.5""H', 'Item Width: 17.5 inches', 'Tabletop Thickness: 0.75 Inches', 'Size: 17.5"" W x 14.25"" D x 24.5"" H', 'Item Weight: 13.67 Pounds', 'Maximum Weight Recommendation: 150 Pounds', 'Number of Items: 1', 'Number of Shelves: 1', 'Number of Drawers: 1', 'Unit Count: 1.0 Count', 'Frame Material: Solid Wood,MDF,Walnut', 'Top Material Type: Walnut,Solid Wood,MDF', 'Is Stain Resistant: No', 'Special Feature: Storage', 'Base Type: Legs', 'Indoor/Outdoor Usage: Indoor']",53ea88fd-0092-59bd-928e-1a04313f390a,2024-02-02 18:56:21 +B07N41BVDG,https://www.amazon.com/dp/B07N41BVDG,"NOVICA 302212 Handmade Wood and Reverse Painted Glass Wall Mounted Mirror, Burgundy and Metallic, Cuzco Snowflake'",NOVICA Store,,Only 7 left in stock - order soon.,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/51bKwT153nL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51bKwT153nL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51id2IxG-kL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5147LsJhj5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51nyQ4ig+mL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31NsCeAL8YL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51dI8V71z0L.SS125_SS522_.jpg']",,,,7.75 x 7.75 x 1.2 inches,,,Burgundy,"Wood, Glass",Colonial,[],"[{'Brand': ' NOVICA '}, {'Shape': ' Round '}, {'Product Dimensions': ' 7.75""L x 7.75""W '}, {'Frame Material': ' Glass, Cedar '}, {'Style': ' Colonial '}]","['Product Dimension - 7. 75"" H x 7. 75"" W x 1. 2"" D ', ' Hand-crafted item -- color, size and/or motif may vary slightly']",,"['Customer Reviews: 4.0 4.0 out of 5 stars \n 10 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #3,977,376 in Home & Kitchen (See Top 100 in Home & Kitchen) #10,049 in Wall-Mounted Mirrors', 'Brand: NOVICA', 'Number of pieces: 1', 'Number of Items: 1', 'Shape: Round', 'Style: Colonial', 'Color: Burgundy', 'Theme: Snowflake', 'Frame Material: Glass, Cedar', 'Finish Type: Handmade', 'Material: Wood, Glass', 'Product Dimensions: 7.75""L x 7.75""W', 'Item Weight: 0.52 Pounds', 'Item Dimensions LxWxH: 7.75 x 7.75 x 1.2 inches', 'Mounting Type: Wall Mount', 'Assembly required: No']",edc93e51-a469-577a-999a-83f7ab21c633,2024-02-02 18:56:22 +B08PMH8F89,https://www.amazon.com/dp/B08PMH8F89,Toy Storage Basket and Play Mat for Building Bricks - Collapsible Canvas Organizer Bag with Drawstring - For Kids,DaWikity Kids Store,$34.90,In Stock,"['Baby Products', 'Nursery', 'Furniture', 'Storage & Organization', 'Toy Chests & Organizers']",https://m.media-amazon.com/images/I/61f83XRzygL._SS522_.jpg,"['https://m.media-amazon.com/images/I/61f83XRzygL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51HlDQjGDSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ShBUuyIJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51aOmFVJtEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/516LgELspbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/B1u8qyXJ91S.SS125_SS522_.png ', ' https://m.media-amazon.com/images/I/61aPYFQ6LDL.SS125_SS522_.jpg']",,DaWikity Kids,,"14""L x 14""W x 15""H","December 5, 2020",,Grey,fabric,,[],"[{'Brand': ' DaWikity Kids '}, {'Material': ' fabric '}, {'Color': ' Grey '}, {'Product Dimensions': ' 14""L x 14""W x 15""H '}, {'Load Capacity': ' 16 Ounces '}, {'Recommended Uses For Product': ' Toys '}, {'Closure Type': ' Drawstring '}, {'Shape': ' Rectangular '}, {'Number of Items': ' 1 '}, {'Size': ' X-Large '}]","['Larger Size: Most toy storage bags are a small 12”x12”, ours is a much bigger 15""x14”. Forget the multiple bags/baskets/container, go with 1 solution big enough for all your kid toys, cars, action figures, dolls. ', ' Safety First: Gone are the unsafe rope handles/tangly cords. Designed in Australia by Parents for Parents, take the stress out of organizing playtime with our kid friendly design. ', ' Storage That Works: No fiddly buttons or messy no close lids, our unique design means ultra fast clean-up. Slide away all that mess, so easy even the kids will help out. ', ' Looks Better: Other toy storage bags are floppy with no structure. Ours are reinforced with a dual layer fabric and neat binding, even the in-laws will be impressed. ', "" DaWikity Kids Family Promise: No 30 Day or 1 Year warranties, then bye-bye. Our lifetime promise means that if there's ever a problem, we'll send you a complimentary Toy Basket, because family stick together.""]",,"['Brand: DaWikity Kids', 'Material: fabric', 'Color: Grey', 'Product Dimensions: 14""L x 14""W x 15""H', 'Load Capacity: 16 Ounces', 'Recommended Uses For Product: Toys', 'Closure Type: Drawstring', 'Shape: Rectangular', 'Number of Items: 1', 'Size: X-Large', 'Number of Sets: 1', 'Item Weight: 1.3 Pounds', 'Manufacturer: DaWikity Kids', 'Part Number: Part 1', 'Item Weight: 1.34 pounds', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B08PMH8F89', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 850 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #4,782 in Baby (See Top 100 in Baby) #27 in Toy Chests & Organizers', 'Date First Available: December 5, 2020']",29de8377-5d46-5686-8ae0-82f4931ce04a,2024-02-02 18:56:23 +B083WKFRRR,https://www.amazon.com/dp/B083WKFRRR,RICOO SQ4965 No-Gap Wall Mount for Samsung® Q7 Q8 & Q9 Screens Ultra Flat & Tilting TV Bracket for 49 55 & 65 Inch QLED Devices Super Slim Television Support Weight Capacity 110lbs Black,RICOO,$65.72,In Stock,"['Electronics', 'Television & Video', 'Accessories', 'TV Mounts, Stands & Turntables', 'TV Wall & Ceiling Mounts']",https://m.media-amazon.com/images/I/41VNr1xTfEL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41VNr1xTfEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51k9it1XDML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41lKC8dbAgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51wL1UEqRgL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/419Ws5Dca3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ZinFLGakL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41OIr-lvlAL._SS522_.jpg']",,,SQ4965,3.62 x 20.47 x 10.94 inches,"April 21, 2021",,black,,,[],"[{'Mounting Type': ' Wall Mount '}, {'Movement Type': ' Tilt '}, {'Brand': ' RICOO '}, {'TV Size': ' 65 Inches '}, {'Color': ' black '}, {'Minimum Compatible Size': ' 55 Inches '}, {'Compatible Devices': ' Television '}, {'Maximum Tilt Angle': ' 3 Degrees '}]","['【 FEATURES 】🔸 Tilt range ist flexibly adjustable 🔸 For optimised viewing angle front plate can be turned +/-3 degrees ', ' 【 COMPATIBILITY 】✅ Low profiled fixing for Samsung series ✅ Q7C Q7F Q7FN Q7CN Q8C Q85R Q9F Q9FN Q90R Q900R Q950R Q900 Q95T ❗ Please note: Only 49"", 55"" & 65"" (124cm, 140cm & 165cm) display range is supported! ', ' 【 MOUNTING 】🔸 Holds up to 110lbs/50kg load 🔸 Small wall distance min. 17mm to 92mm max. ', ' 【 USE 】🔸 Design your living-room or bedroom in a modern & stylish way 🔸 This flat screen mount complements your home cinema perfectly 🔸 Perfect for your Smart TV on the TV wall ', ' 【 ATTENTION 】❗ Included screws & dowels for attaching on solid concrete walls only ❗ Please check the compatibility of wall bracket and TV unit']",,"['Brand Name: RICOO', 'Item Weight: 4.08 pounds', 'Product Dimensions: 3.62 x 20.47 x 10.94 inches', 'Item model number: SQ4965', 'Color Name: black', 'Item display height: 27.8 centimeters', 'ASIN: B083WKFRRR', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 93 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #2,747 in TV Wall & Ceiling Mounts #2,823 in Electronics Mounts', 'Date First Available: April 21, 2021']",ef4c6071-b6f0-5cca-b7e2-3d21d05fc9ad,2024-02-02 18:56:23 +B07BQHWWRW,https://www.amazon.com/dp/B07BQHWWRW,Hosley Wooden Frame Mirror 20 Inch High. Ideal for Weddings Special Occasions and for Wall Decor Home Spa Aromatherapy Reiki. P2,Hosley Store,$24.99,Only 20 left in stock - order soon.,"['Home & Kitchen', 'Home Décor Products', 'Mirrors', 'Wall-Mounted Mirrors']",https://m.media-amazon.com/images/I/410lp8RwjvL._SS522_.jpg,"['https://m.media-amazon.com/images/I/410lp8RwjvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41WduyH76BL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41y2+qmDMqL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ma0RTCLZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511hAxj9YOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51jKW-ef-jL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51dzRZBzXmL._SS522_.jpg']",,,,20 x 0.5 x 20 inches,,,Brown,Wood,Contemporary,[],"[{'Brand': ' Hosley '}, {'Room Type': ' Bathroom '}, {'Shape': ' Square '}, {'Product Dimensions': ' 20""L x 20""W '}, {'Frame Material': ' Glass, Iron '}]","['PRODUCT: Hosley\'s Wooden Frame Mirror- 20"" High. ', "" USES: This decor is perfect for adding a decorative touch to any room's decor. Perfect for everyday use, wedding, events, aromatherapy,Spa, Reiki, Meditation, Bathroom setting. Pair this with your existing decor, or with a multitude of our wall decors to create an interesting and unique accent wall in your home! "", ' BENEFITS: They feature a contemporary style, giving it a sleek design. This charming wall decor will add a touch of warmth to any décor. ', ' MEASUREMENTS/MATERIAL: Each one measures 20"" x 0.50"" x 20"" and is made of glass, wood and iron ', ' HOSLEY BRAND PRODUCTS: Hosley brand products are made from quality raw materials with minimal wastage at every step of production. With the goal of achieving a neutral carbon footprint, please recycle and help leave Mother Earth better off for future generations.']","Hosley Brown Wooden Frame Mirror. Each one measures 20"" x 0.50"" x 20"" and is made of glass, wood and iron. This decor is perfect for adding a decorative touch to any room's decor. Perfect for everyday use, wedding, events, aromatherapy, Spa, Reiki, Meditation, and Bathroom settings. Pair this with your existing decor, or with a multitude of our wall decors to create an interesting and unique accent wall in your home! They feature a contemporary style, giving it a sleek design. This charming wall decor will add a touch of warmth to any décor.","['Room Type: Bathroom', 'Mounting Type: Wall Mount', 'Frame Type: Framed', 'Frame Material: Glass, Iron', 'Finish Type: Wood', 'Material: Wood', 'Shape: Square', 'Style: Contemporary', 'Color: Brown', 'Theme: Wedding', 'Customer Reviews: 3.8 3.8 out of 5 stars \n 8 ratings \n\n\n 3.8 out of 5 stars', 'Best Sellers Rank: #3,882,926 in Home & Kitchen (See Top 100 in Home & Kitchen) #9,820 in Wall-Mounted Mirrors', 'Brand: Hosley', 'Number of Pieces: 1', 'Number of Items: 1', 'Product Dimensions: 20""L x 20""W', 'Item Weight: 6.6 Pounds', 'Item Dimensions LxWxH: 20 x 0.5 x 20 inches', 'Assembly Required: No']",b0dfa07f-a9b7-58a0-8f29-83b74b5f9e42,2024-02-02 18:56:24 +B08BNDNGHJ,https://www.amazon.com/dp/B08BNDNGHJ,"BRIAN & DANY Foldable Storage Ottoman Footrest and Seat Cube with Wooden Feet and Lid, Khaki 15” x15” x14.7”",BRIAN & DANY Store,$34.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/413YS7nQBnL._SS522_.jpg,"['https://m.media-amazon.com/images/I/413YS7nQBnL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Wa4-diCOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41fdgFYCvUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51hGY+RDNWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51UtmW4a8gL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61brwPIM2aL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/91+MLhq5JrL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,BRIAN & DANY,,"15""D x 15""W x 15""H","June 23, 2020",,Khaki,Wood,Modern,[],,"['Rectangular Stool with feet - Easy to move under heavy load; keep the bottom away from the dirt; anti-slip mat can protect the floor well, not only to avoid scratching the floor when moving, but also to avoid moving noise ', ' STURDY & COMFY:The maximum static load weight is up to 440lbs (200kg). Highly Resilient Foam Padding ensures a comfortable sitting experience. ', ' EASY TO ASSEMBLE & FOLD: Designed with practicality in mind, the ottoman trunk is fully foldable. This allows it to be quickly stored away out of sight if extra space is needed. Reassemble it in just seconds to start using it again ', ' LARGE STORAGE CAPACITY - The spacious dimensions of 15""L x 15""W x 14""H (38 x 38 x 36cm) provide ample storage space for whatever you need, while not taking up too much of the floor space. ', ' ADAPTABLE FUNCTIONALITY - Its varied features make the ottoman a multipurpose product that can be used all throughout the home. It could be used as a seat, for storage, or even as a coffee table depending on your needs.']",,"['Product Dimensions: 15""D x 15""W x 15""H', 'Color: Khaki', 'Brand: BRIAN & DANY', 'Base Material: Wood', 'Frame Material: Wood', 'Seat Height: 14.7 Inches', 'Product Care Instructions: Wipe with feuch', 'Maximum Weight Recommendation: 440 Pounds', 'Size: 15 x 15 x 15 Inches', 'Style: Modern', 'Item Weight: 7.7 pounds', 'Manufacturer: BRIAN & DANY', 'ASIN: B08BNDNGHJ', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 814 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #44,624 in Home & Kitchen (See Top 100 in Home & Kitchen) #73 in Ottomans', 'Date First Available: June 23, 2020']",c84ce9b7-6876-5cc0-98b2-5b32bc420b03,2024-02-02 18:56:25 +B0CMXYMDH4,https://www.amazon.com/dp/B0CMXYMDH4,"ReplacementScrews Bed Frame Rail Screws Compatible with IKEA Part 116894 (HEMNES, BRIMNES, etc) Euro Screws (Pack of 20)",ReplacementScrews,$7.99,In Stock,"['Home & Kitchen', 'Furniture', 'Replacement Parts', 'Bed Parts']",https://m.media-amazon.com/images/I/31-vY+TuWOL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31-vY+TuWOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Tu9DSxHyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Xm3Hxs9wL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31YqiAYm00L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ziZd7CchL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41d2jGN1OPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/315bgCiiYrL._SS522_.jpg']",,,RSAZN5852473,6.5 x 3.75 x 0.75 inches,"November 8, 2023",,Multicolored,Metal,Flat,[],"[{'Material': ' Metal '}, {'Drive System': ' Phillips '}, {'Head Style': ' Flat '}, {'Item Dimensions LxWxH': ' 6.5 x 3.75 x 0.75 inches '}, {'Brand': ' ReplacementScrews '}]","['COMPATIBILITY: These Euro screws are fully compatible with IKEA part 116894, commonly used in bed frames / day beds such as HEMNES, BRIMNES, SMASTAD, FLEKKE and others. Please consult your assembly manual to verify compatibility. ', ' USAGE: Frequently used for installing bed slats support rails (Part Numbers 139536, 112975) in bed frames. You will normally require 16 to 30 pieces for a complete support rail installation depending on your furniture. ', ' SPECIFICATIONS: Measuring 14mm in length with a 6.6mm thread diameter and a 9.5mm head diameter. These screws offer a sleek, flush flat head design for a professional finish. The coarse thread ensures outstanding grip and pull-out resistance. Plus, they are zinc-plated to resist corrosion, ensuring long-lasting quality and performance. ', ' INSTALLATION: These euro screws effortlessly fit into pre-drilled holes, requiring only a standard Phillips screwdriver. Perfect for pros and DIY enthusiasts, ensuring a robust and dependable result with minimal effort. Review your manual before installation. ', ' TAILORED QUANTITY: Our replacement screws offer a range of quantity options, enabling you to select the precise amount required for your furniture assembly. This considerate strategy not only reduces waste by providing the ideal quantity but also translates into cost savings for you.']",,"['Material: Metal', 'Drive System: Phillips', 'Head Style: Flat', 'Item Dimensions LxWxH: 6.5 x 3.75 x 0.75 inches', 'Brand: ReplacementScrews', 'Color: Multicolored', 'Head Type: Flat', 'Item Weight: 2.1 Ounces', 'Thread Coverage: Fully Threaded', 'Item Weight: 2.1 ounces', 'Product Dimensions: 6.5 x 3.75 x 0.75 inches', 'Item model number: RSAZN5852473', 'ASIN: B0CMXYMDH4', 'Customer Reviews: 5.0 5.0 out of 5 stars \n 1 rating \n\n\n 5.0 out of 5 stars', 'Best Sellers Rank: #720,246 in Home & Kitchen (See Top 100 in Home & Kitchen) #236 in Bed Replacement Parts', 'Date First Available: November 8, 2023']",97fae8e4-f19a-544b-abe6-eaa97ef2f673,2024-02-02 18:56:25 +B08XPR7662,https://www.amazon.com/dp/B08XPR7662,"mDesign Round Metal in-Lay Accent Table with Hairpin Legs - Side/End Table - Decorative Legs, Marble Top - Home Decor Accent Furniture for Living Room, Bedroom - Set of 2 - Soft Brass/Mirror",mDesign Store,$79.99,Only 8 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/413u0H2o1IL._SS522_.jpg,"['https://m.media-amazon.com/images/I/413u0H2o1IL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41McDeUvZQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NEHzvSSTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41pzfnIm4KL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41kCmggUlaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41uSLn2dKaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/71GqqDZkbZL.SS125_SS522_.png']",,,17766MDHS,"17""D x 17""W x 22.5""H","May 23, 2021",China,Soft Brass/Mirror,Steel/Mirror,Modern,[],,"['SLEEK DESIGN: This classic table works with both modern and more traditional decorating schemes - it complements everything from industrial modern to rustic interiors; The streamlined style of the legs is a modified hairpin leg design; This stable table offers high design at a price that is right for everyone and adds a style statement to your home; This table fits your space; Set of 2 ', ' COMPACT: A beautifully simple table compact enough to fit small or tight spaces; This versatile accent table adds a touch of style to your decor and tucks neatly into smaller spaces, or works great as a side table in any space; The tabletop is the perfect display area for favorite photos, plants, lamps, and other decorative accessories, or just for setting down a cup of coffee or tea; This handsome table is an ideal accent piece for houses, apartments, condos, college dorm rooms, or cabins ', ' FUNCTIONAL STORAGE: This side or end table is perfect for many spaces and places throughout your home; The generously sized, on-trend center storage cube shelf is ideal for storing, books, magazines, laptops, smart tablets, e-readers and more; mDESIGN TIP - Pair two or more of these tables in front of a couch or sofa to create a versatile coffee table, they can be pulled apart when entertaining and your cocktail party or gathering requires the need for several smaller tables ', ' QUALITY CONSTRUCTION: Made of strong steel with a durable finish; Mirror tabletop; Easy Care - Clean with damp cloth ', ' THOUGHTFULLY SIZED: Large Table Measures 17"" diameter x 22.5"" high; Small Table Measures 15"" diameter x 19"" high']",,"['Product Dimensions: 17""D x 17""W x 22.5""H', 'Color: Soft Brass/Mirror', 'Brand: mDesign', 'Table design: End Table', 'Style: Modern', 'Finish Type: brass', 'Base Type: Legs', 'Product Care Instructions: Damp cloth', 'Furniture Finish: Alloy Steel, Brass', 'Size: (17 in x 22.5 in) + (15 in x 19 in)', 'Material: Steel/Mirror', 'Number of Items: 2', 'Item Weight: 11 pounds', 'Country of Origin: China', 'Item model number: 17766MDHS', 'ASIN: B08XPR7662', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 23 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #1,229,881 in Home & Kitchen (See Top 100 in Home & Kitchen) #4,502 in End Tables', 'Date First Available: May 23, 2021']",ac7f654b-6b81-592e-bdc4-acf530062733,2024-02-02 18:56:26 +B089YWCTN2,https://www.amazon.com/dp/B089YWCTN2,"NSFRCLHO Round End Table, Tempered Glass End Table with Metal Frame, Small Coffee Table, Black Sofa Side Table for Living Room, Balcony, Bedroom",NSFRCLHO Store,$89.99,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/41z8YktAkGL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41z8YktAkGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mAsjnYyfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ln4anuzVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5199VbiJqpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41BFflEumWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ueARYOuSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4152YVSg8IL.SS125_SS522_.jpg']",,,,"19.7""D x 19.7""W x 22.4""H",,,Black,Tempered Glass,Classic,[],,"['Minimalism and Human Design: Round end table made of tempered glass and metal legs with smooth UV painting make it looks more elegant and eye-catching, a highlight for your living room or other spaces! Round shape side table will protect your knees from bruises accidentally caused by sharp corners and create a safer environment for you and your family. ', ' Delicate and Durable: Black end table made of 6 mm thick tempered glass and solid carbon steel, achieves high texture appearance and durable performance. The stable glass plate can be loaded with up to 120 lb. It is strong in bending resistance, heat-resistant and anti-corrosion. ', ' Adjustable Feet: The legs are equipped with 4 adjustable foot pads to adapt to different environments. When the side table is not stable, it can be adjusted by the foot pads to keep stable. ', ' Easy to Assemble: After receiving the goods, you only need to follow the easily picture comprehensible instructions and simple structure of the side tables to install, all you need is to swing the Allen key(included) according to instructions step by step. ', ' Ideal Choice: Size about 20"" diameter, it\'s an ideal side end table for single sofa, beroom, livingroom, balcony and small spaces. Dimension:19.7x19.7x22.4inch/ 50×50×57cm. Weight: 20.6lb.']",,"['Brand: NSFRCLHO', 'Shape: Round', 'Room Type: Living Room, Bedroom', 'Included Components: Assembly Guide, Installation Tool', 'Color: Black', 'Furniture Finish: Metal', 'Model Name: Classic', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 232 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #346,137 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,452 in End Tables', 'Style: Classic', 'Table design: Nightstand', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Product Dimensions: 19.7""D x 19.7""W x 22.4""H', 'Item Width: 0.78 inches', 'Size: 19.7 in x 19.7 in x 22.4 in', 'Item Weight: 17.6 Pounds', 'Maximum Weight Recommendation: 120 Pounds', 'Number of Items: 1', 'Frame Material: Metal', 'Top Material Type: Tempered Glass', 'Product Care Instructions: Wipe with Damp Cloth', 'Special Feature: Storage', 'Mounting Type: Floor Mount', 'Base Type: Leg', 'Indoor/Outdoor Usage: Indoor']",0c29fc37-71cd-56c8-8fa5-bfa6486a48fc,2024-02-02 18:56:27 +B00R5VYYIG,https://www.amazon.com/dp/B00R5VYYIG,pranovo Metal Sofa Handle Cable Recliner Chair Couch Release Lever Replacement (2 Pack B#),pranovo,$13.50,In Stock,"['Home & Kitchen', 'Furniture', 'Replacement Parts', 'Sofa Parts']",https://m.media-amazon.com/images/I/3144eTNpeEL._SS522_.jpg,"['https://m.media-amazon.com/images/I/3144eTNpeEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31OAMRUFE3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41CmONhXiML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/415xUyY+A2L.SS125_SS522_.jpg']",,No,8541831910,"4.2""D x 3.5""W x 1""H","December 18, 2014",,Black,Aluminum,,[],"[{'Brand': ' pranovo '}, {'Color': ' Black '}, {'Material': ' Aluminum '}, {'Product Dimensions': ' 4.2""D x 3.5""W x 1""H '}, {'Size': ' 2 Pack B# '}]","['It is a replacement cable for recliner sofas and chairs. ', ' The length of outer black cable: approx. 68cm ', ' The length of inner cable including ends: approx. 88.5cm ', ' Durable. ', ' Quantity: 2 pieces sofa cable']",Descriptions: * It is a replacement cable for recliner sofas and chairs.* The length of outer black cable: approx. 68cm* The length of inner cable including ends: approx. 88.5cm* Durable* Quantity: 2 pieces sofa cable Features: * The length of outer black cable: approx. 68cm* The length of inner cable including ends: approx. 88.5cm Package: * Quantity: 2 pieces sofa cable,"['Brand: pranovo', 'Color: Black', 'Material: Aluminum', 'Product Dimensions: 4.2""D x 3.5""W x 1""H', 'Size: 2 Pack B#', 'Product Care Instructions: Wipe Clean', 'Unit Count: 2.0 Count', 'Pattern: Solid', 'Age Range (Description): Adult', 'Surface Recommendation: Hard Floor', 'Form Factor: Recliner', 'Item Weight: 3.84 ounces', 'Manufacturer: pranovo', 'ASIN: B00R5VYYIG', 'Item model number: 8541831910', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 389 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #460,602 in Home & Kitchen (See Top 100 in Home & Kitchen) #203 in Sofa Replacement Parts', 'Is Discontinued By Manufacturer: No', 'Date First Available: December 18, 2014']",3cbd8443-b3ae-5011-bf59-50f47479a1a7,2024-02-02 18:56:28 +B08JLH2PVH,https://www.amazon.com/dp/B08JLH2PVH,"Stuffed Animal Storage Bean Bag Chair Cover for Kids, 24x24 Inch Velvet Extra Soft Large Storage Bean Bag for Organizing Children Plush Toys Room Decor for Girls(Cover Only)",KIDZLIKE,$18.99,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Chairs & Seats', 'Bean Bags']",https://m.media-amazon.com/images/I/41dBlMhHThL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41dBlMhHThL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/518tO4eFhdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51a-05UbCZS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51RyZ0FuBBS._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51oN1iAkI7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/418yltbe2fL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51GF+CQuDwL.SS125_SS522_.jpg']",,KIDZLIKE,unicorn candy cake,24 x 24 x 20 inches,"September 21, 2020",,Cover Only,velvet,,[],"[{'Brand': ' KIDZLIKE '}, {'Material': ' velvet '}, {'Color': ' Cover Only '}, {'Special Feature': ' Durable '}, {'Load Capacity': ' 10 Pounds '}, {'Recommended Uses For Product': ' Storage '}, {'Closure Type': ' Zipper '}, {'Shape': ' Square '}, {'Number of Items': ' 1 '}, {'Size': ' Cover Only '}]","['【3 in 1 DESIGN】Stuffed animal storage, kids bean bag and cute unicorn cake doll combined together! This 3 in 1 solution would turn chaos stuffed animal into functional bag, provide a bean bag without little beans that kids can mess up and also provide a adorable unicorn birthday cake doll. It is also a cute girl room decoration. ', ' 【Perfect Size】The storage bag is designed as a 24x24x20 inches unicorn shaped cheese cake covered with bright candies and egg roll. It can storage more than 90 stuffed toys. You can also fill it with pillows, blankets, towels, clothes, beans and other fluffy items. We guarantee you will be pleasantly surprised at how many stuffed toys you can fit in this storage bag. ', ' 【Luxury Velvet】The storage bag is made of soft velvet. Gives a soft and tender feel to the touch which is similar to plush or velvet doll. Thicker fabrics make it durable, children can easily sat on, tumble or move around and never worry about the fabrics will rip. ', ' 【BEST TOY & GIFT】This fun and practical gift is a perfect birthday , Christmas and other holiday gift for your children, family and friends. Surprise them with great present for any occasion! ', ' 【CUSTOMER SERVICE】 Equipped with a quality zipper, fine sewing, and double convenient handle to be the best choice. If you have any questions about it, please feel free to contact us. Our team will be in touch within 24 hours, guaranteed.']",,"['Brand: KIDZLIKE', 'Material: velvet', 'Color: Cover Only', 'Special Feature: Durable', 'Load Capacity: 10 Pounds', 'Recommended Uses For Product: Storage', 'Closure Type: Zipper', 'Shape: Square', 'Number of Items: 1', 'Size: Cover Only', 'Number of Sets: 1', 'Item Weight: 1.4 Pounds', 'Product Dimensions: 24 x 24 x 20 inches', 'Item Weight: 1.37 pounds', 'Manufacturer: KIDZLIKE', 'ASIN: B08JLH2PVH', 'Item model number: unicorn candy cake', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 504 ratings \n\n\n 4.4 out of 5 stars', ""Best Sellers Rank: #294,220 in Home & Kitchen (See Top 100 in Home & Kitchen) #55 in Kids' Bean Bag Chairs"", 'Date First Available: September 21, 2020']",7ef14903-e9c0-5008-8238-e5972591d993,2024-02-02 18:56:28 +B0B6P65LGH,https://www.amazon.com/dp/B0B6P65LGH,"Pinkpum Shoe Ogranizer for Closet, 12 Pack Shoe Storage Boxes Clear Plastic Stackable Shoe Box, Shoe Containers Storage with Lids, Sneaker Container Bin Holder, Clear White",Pinkpum Store,,,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Boot & Shoe Boxes']",https://m.media-amazon.com/images/I/41huFJxt+FL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41huFJxt+FL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Wu6a81kCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41xuBjDrj4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/412ZlmbDshL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Iuv45UKpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41YEg7Jw-YL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51gr0zsfObL.SS125_SS522_.jpg']",,Pinkpum,,"13.1""L x 9""W x 5""H","July 15, 2022",,Clear,Acrylonitrile Butadiene Styrene,,[],"[{'Brand': ' Pinkpum '}, {'Color': ' Clear '}, {'Material': ' Acrylonitrile Butadiene Styrene '}, {'Special Feature': ' Stackable '}, {'Product Dimensions': ' 13.1""L x 9""W x 5""H '}]","[""【NEW!!! Material & Dimension】These shoe boxes use ABS material, which is very sturdy and not prone to aging. Outside: 13.1(L) x 9(W) x 5.5(H) inch, Inside:12.2(L) x 9(W) x 5.5(H) inch. This shoe organizers fit for men's size 9 / women's size 10, accessible for most of your shoes. "", ' 【Move in Clean】These shoe organizer bins are so amazing for keeping shoes well organized and neat your room. These storage boxes can be used in living room, garage, bedroom, wardrobe, closet or even outside, helping you get a neat lifestyle. ', ' 【Stackable & Assemble Easily】: Saving your space. These shoe storage boxes can be stacked with buckle design. 5 steps to finish assembling in 10 minutes by watching the instructions or video. ', ' 【Clear & Breathable】:The clear shoe storage bins made of sturdy ABS and PP, allows you to easily see the shoes and take them out. Stylish back hole patterns solve the problem of others which is not being breathable, while still remaining dust free. ', ' 【Notice】:Pinkpum strives to provide customers with the highest quality product and the best after-sale service. We offer a 50-day Money Back Guarantee. If you have any problem, we will solve it within 12 hours.']",,"['Brand: Pinkpum', 'Color: Clear', 'Material: Acrylonitrile Butadiene Styrene', 'Special Feature: Stackable', 'Product Dimensions: 13.1""L x 9""W x 5""H', 'Closure Type: Buckle', 'Item Weight: 6.64 Pounds', 'Opening Mechanism: Buckle', 'Shape: Square', 'Pattern: Solid', 'Number of Items: 12', 'Number of Compartments: 1', 'Unit Count: 12.0 Count', 'Manufacturer: Pinkpum', 'Item Weight: 6.64 pounds', 'Size: Large', 'Number Of Pieces: 12', 'Special Features: Stackable', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B0B6P65LGH', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 1,671 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #31,171 in Home & Kitchen (See Top 100 in Home & Kitchen) #33 in Boot & Shoe Boxes', 'Date First Available: July 15, 2022']",30eb7c8c-21ae-5156-91fb-7d8b56eec7ac,2024-02-02 18:56:29 +B0CC4SZBQ9,https://www.amazon.com/dp/B0CC4SZBQ9,"BOOSDEN Padded Folding Chair 2 Pack, Foldable Chair with Thick Cushion, Heavy Duty Metal Folding Chair for Outdoor & Indoor & Dining & Party, Red",BOOSDEN Store,$119.00,Only 6 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Folding Tables & Chairs', 'Folding Chairs']",https://m.media-amazon.com/images/I/41H64LdIQ8L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41H64LdIQ8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41fZb-p8XZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/515+qsRi86L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51R8vCOdi4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41CxjbR908L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Pboc1GPvL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51t7wPWRD9L.SS125_SS522_.jpg']",,Boosden LLC,JUYI-FC-THICK-Red-2,"20.8""D x 18""W x 29""H","July 18, 2023",China,2 Pack Thick Chair | Red,,,[],,"['【Padded Folding Chair in Red】 Enhance your seating experience with our premium Padded Folding Chair in a stunning red fabric design, complete with a comfortable cushion. No assembly required, making it the perfect choice for quick and convenient seating in any situation. ', "" 【Suitable For Many Scenes】 Enjoy the plush comfort of the thick cushion on the seat and backrest, ensuring you and your guests can sit back and relax for hours on end. Whether it's for home use, office settings, or even as dining, party, or conference chairs, this versatile piece will impress with its style, comfort, and stability. "", ' 【Sturdy Triangular Metal Frame】 Built with a robust triangular metal frame, this chair guarantees stability and durability. With a maximum load capacity of approximately 136 kg, it accommodates various body types, making it suitable for adults in home offices and company meetings alike. ', ' 【Elegant and Chic Design】 The captivating red fabric design effortlessly complements any room decor, making it a perfect addition to your space. The fabric seat surface and back not only exude sophistication but also add a touch of elegance to your setting. ', ' 【Product Specifications】Size: 18""D*20.8""W*29""H load: about 136 kg, If you encounter any issues or have questions about the product, please don\'t hesitate to reach out to us at any time.']",,"['Brand: BOOSDEN', 'Color: 2 Pack Thick Chair | Red', 'Product Dimensions: 20.8""D x 18""W x 29""H', 'Size: 2 Pack Thick Chair | Red', 'Special Feature: Foldable', 'Unit Count: 2.0 Count', 'Recommended Uses For Product: Office, Dining, Camping', 'Pattern: Solid', 'Included Components: Cushion', 'Model Name: JUYI-FC-THICK-Red-2', 'Surface Recommendation: Hard Floor', 'Form Factor: Foldable', 'Seat Depth: 15.75 inches', 'Item Weight: 26 pounds', 'Manufacturer: Boosden LLC', 'ASIN: B0CC4SZBQ9', 'Country of Origin: China', 'Item model number: JUYI-FC-THICK-Red-2', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 31 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #683,536 in Home & Kitchen (See Top 100 in Home & Kitchen) #244 in Folding Chairs', 'Date First Available: July 18, 2023']",f017c252-c086-5b08-8b44-ec475a2cb217,2024-02-02 18:56:30 +B0B5VJNZHL,https://www.amazon.com/dp/B0B5VJNZHL,"Kingston Brass SCC8247 Edenscape Pedestal Steel Construction Towel-Rack, Brushed Brass 25.75 x 14.44 x 32",Kingston Brass Store,,Only 3 left in stock (more on the way).,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Bars']",https://m.media-amazon.com/images/I/31FOa-k+EtL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31FOa-k+EtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/311gg-+mQUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41RZBO92fnL._SS522_.jpg']",,Kingston Brass,SCC8247,25.75 x 14.44 x 32 inches,"April 16, 2021",Taiwan,Brushed Brass,Alloy Steel,Modern,[],"[{'Color': ' Brushed Brass '}, {'Material': ' Alloy Steel '}, {'Finish Type': ' Brushed '}, {'Brand': ' Kingston Brass '}, {'Installation Type': ' Freestanding '}, {'Item Weight': ' 10.52 Pounds '}]","['Solid steel construction ', ' Freestanding Pedestal towel rack ', ' Quick and easy installation ', ' Rust resistant ', ' Corrosion and tarnish-resistant color finishes offer durability and years of beauty']","With this stylish and functional Edenscape pedestal towel rack, the European styled design provide 2-tier rack for towel storage. The rack itself is easily moved from room to room and with its sturdy base, hanging many towels is not a problem. Constructed from steel for durability and reliability. This towel rack can be installed quickly and easily.","['Manufacturer: Kingston Brass', 'Part Number: SCC8247', 'Item Weight: 10.52 pounds', 'Product Dimensions: 25.75 x 14.44 x 32 inches', 'Country of Origin: Taiwan', 'Item model number: SCC8247', 'Size: 25.75 x 14.44 x 32', 'Color: Brushed Brass', 'Style: Modern', 'Finish: Brushed', 'Material: Alloy Steel', 'Installation Method: Freestanding', 'Item Package Quantity: 1', 'Included Components: Mounting Hardware, Towel Rack', 'Batteries Required?: No', 'Warranty Description: 1 Year Limited Warranty', 'ASIN: B0B5VJNZHL', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 52 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #603,118 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #7,077 in Bath Towel Bars', 'Date First Available: April 16, 2021']",2e0ca423-c302-5652-b1ce-02c28d084084,2024-02-02 18:56:30 +B07RGDWW5C,https://www.amazon.com/dp/B07RGDWW5C,"Industrial Rolling Bar 3-Tier Kitchen Serving Cart, Wine Storage Rack, Rustic Pipe Dining Cart with Wheels, Restaurant Wine Glass Holder, 15.7x15.7x33.4inches",HANS CAO Store,$115.00,Only 17 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Bar & Serving Carts']",https://m.media-amazon.com/images/I/51rjiq645tL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51rjiq645tL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511ZrQIhllL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51SpAiC0fOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51pZKXspjYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51KYrwjPKQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51eu0oQVWML._SS522_.jpg']",,HANS CAO,,"15.7""D x 15.7""W x 33.4""H","May 5, 2019",,Brown+black,"Solid Wood,Iron",,[],,"['√ Size: 15.7’’L x 15.7’’W x 33.4’’H, 4 glides & 4 casters for free. ', ' √ Made of solid wood shelves and coated iron tubes, it is of high quality, durable and resistant to wear. ', ' √ The brake-type skating can be moved freely in the kitchen and dining room and stays stable when stopped. ', ' √ The hanging rods on both sides can be used to hang towels and can also be used to propel the dining car. ', ' √ Quick assembly according to the instructions, the operation process is very simple. The removable kitchen cart is suitable for home kitchens, restaurants, bar service and more.']","【Please Note】 We didn't pre drill the board, because pre drilling may make the screws unable to firmly fix the flange and board. You need to use your own electric screwdriver and the screws in the package to fix the flange and the board, which is faster.Please use the screws in the package to help you assemble it more firmly. We don't recommend you to use other kinds of screws or pre drill the board, which may affect the stability of the dining car.【Specification】 - Size: 15.7’’L x 15.7’’W x 33.4’’H - Color: Brown + Black 【Product Details】 - Floor-standing dining cart / rolling rack - Need to install 【Package Content】 -3 planks -10 iron pipes -8 pieces -32 screws -4 pulleysThe removable kitchen cart is suitable for home kitchens, restaurants, bar service and more.The package contains the installation manual, if it is lost, please contact us to provide an electronic version.","['Product Dimensions: 15.7""D x 15.7""W x 33.4""H', 'Shelf Type: Tiered Shelf', 'Frame Material: Solid Wood,Iron', 'Brand: HANS CAO', 'Color: Brown+black', 'Furniture Finish: Iron', 'Size: 15.7’’L x 15.7’’W x 33.4’’H', 'Product Care Instructions: Wipe with Wheel', 'Item Weight: 26.1 pounds', 'Manufacturer: HANS CAO', 'ASIN: B07RGDWW5C', 'Customer Reviews: 4.0 4.0 out of 5 stars \n 42 ratings \n\n\n 4.0 out of 5 stars', 'Best Sellers Rank: #756,607 in Home & Kitchen (See Top 100 in Home & Kitchen) #226 in Home Bar & Serving Carts', 'Date First Available: May 5, 2019']",8efa6752-eda3-5b70-9be3-4e5545a21d40,2024-02-02 18:56:31 +B00P21TM2O,https://www.amazon.com/dp/B00P21TM2O,Chill Sack Bean Bag Chair: Giant 5' Memory Foam Furniture Bean Bag - Big Sofa with Soft Micro Fiber Cover - Lime,Chill Sack Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Bean Bags, Covers & Refills', 'Bean Bags']",https://m.media-amazon.com/images/I/51fQFu92tsL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51fQFu92tsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51ZzMcTnBaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41GWKmqwi5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61rcCkQlFpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41KoWGMs1KL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512Oz+GBWpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61orfivYZmL.SS125_SS522_.jpg']",,No,AMZ-5SK-MS23,"60""D x 60""W x 34""H",,,Microsuede - Lime,,Furniture Foam,[],,"['Micro Fiber ', ' FUN FOR EVERYONE: A great size for both kids and adults, this comfy bean bag is the perfect furniture addition to any basement, family room, dorm, or bedroom whether as a gaming chair or a study spot ', ' OVERSIZED LOUNGER: 60 x 60 x 34 inches - Collapse into a seat that loves you back and forms to fit your body; with space for two, you can cuddle close, share with a friend, or spread out to really relax ', ' SHREDDED MEMORY FOAM: Chill Sack bean bag chairs are stuffed with a shredded, soft, memory foam blend that is highly durable to maintain shape while increasing comfort levels for the ultimate chill moments ', ' COMFY FURNITURE COVER: The removable double stitched Microsuede Cover is soft to the touch, machine washable, and resistant to water, stains, and discoloration for easy maintenance ', "" MADE IN THE USA - Made with high quality, light and fluffy US shredded foam, premium zippers, and hand selected fabrics that are double stitched for maximum strength and durabilityMicrosuede is soft, supple and sensuous to the touch. Yet it's also resistant to stains and discoloration. It's even machine-washable or dry-cleanable. Our Premium Microsuede Covers are the perfect blend of comfort, ease of care and durability. Itís made of 100% polymer ultra-micro fiber strands, yet feels just like soft suede. It is water-resistant. Liquid rolls right off. 15 colors to choose from""]","Our 5 foot chill bag is ideal for your child, teenager or college student that loves to play video games and watch their favorite movies and TV programs. The perfect addition to a basement, family room or dorm, it’s large enough to fit two small adults but is ideal for one adult or child. We call them bean bag chairs, but there are no beans or Styrofoam pellets here. Just the softest, highest quality shredded foam like those used in high end couches. Dimensions: 60” x 60” x 34” weight: 55 lbs.","['Brand: Chill Sack', 'Color: Microsuede - Lime', 'Product Dimensions: 60""D x 60""W x 34""H', 'Pattern: Solid', 'Special Feature: Durable,Removable,Resistant', 'Age Range (Description): Adult, Youth', 'Fabric Type: Micro Fiber', 'Style: Furniture Foam', 'Included Components: Bean Bag Chair', 'Item Firmness Description: Soft', 'Product Care Instructions: Machine Wash', ""Size: 5'"", 'Shape: Round', 'Item Weight: 55 pounds', 'Manufacturer: Chill Sack', 'ASIN: B00P21TM2O', 'Item model number: AMZ-5SK-MS23', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 19,377 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #20,289 in Home & Kitchen (See Top 100 in Home & Kitchen) #15 in Bean Bag Chairs', 'Is Discontinued By Manufacturer: No', 'Refill: Shredded Memory Foam Blend', 'Form Factor: Loveseat', 'Assembly required: No', 'Warranty Description: 19 year warranty through chill sacks.', 'Batteries required: No']",afbb64d6-9fb5-54d9-bc5c-85ac03a32cc3,2024-02-02 18:56:32 +B01MR9GSZE,https://www.amazon.com/dp/B01MR9GSZE,"Caroline's Treasures BB5130JMAT Day of The Dead Red Flowers Skull Doormat 24x36 Front Door Mat Indoor Outdoor Rugs for Entryway, Non Slip Washable Low Pile, 24H X 36W",Caroline's Treasures Store,,In Stock,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/41Q15C0DMDL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41Q15C0DMDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51GRQdSQAAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51uUecZeJOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41tlYBjtPVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51Z8nxChtWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41dYQSczuqL._SS522_.jpg']",,Caroline's Treasures,BB5130JMAT,"36""L x 24""W","January 24, 2017",USA,Day of the Dead Red Flowers Skull,Rubber,Day of the Dead Red Flowers Skull,[],"[{'Brand': "" Caroline's Treasures ""}, {'Size': ' 24H x 36W '}, {'Material': ' Fabric '}, {'Weave Type': ' Needle Punched '}, {'Item Weight': ' 3.2 Pounds '}]","['Versatile & Stylish: Ideal as an indoor or outdoor mat, this 24x36 inch Artwork Door Mat enhances any entryway, porch, or outdoor kitchen with its unique design. Add a touch of style and functionality to your space. ', ' Durable & Weather Resistant: Crafted with layers of polyester felt and rubber, and bound by sturdy black tape, this mat stands up to all weather conditions. Its rubber-stamped bottom prevents slipping, ensuring safety and stability. ', ' Easy to Clean: Maintenance is a breeze - simply rinse with a garden hose or use a power washer to eliminate dirt. No suds-producing cleaners necessary. Alternatively, vacuum on floor setting for indoor cleaning. ', "" Quality Production: Proudly made and printed in the USA by Caroline's Treasures, our mat ensures high-quality design and durability. Its vibrant, dyed polyester felt top layer stays bright and eye-catching through use. "", ' Great gifts: Great hostess gifts, a housewarmning gift for that new home or a wedding gift for that new couple. All of our products feature artwork from one of our artists or desingers. A great gift for your dog walker, groomer, or pet sitter. Made in the USA']",Indoor/outdoor floor mat 24 inch by 36 inch action back felt floor mat/carpet/rug that is made and printed in the USA. A black binding tape is Sewn around the mat for durability and to nicely frame the artwork. The mat has been permanently dyed for moderate traffic and can be placed inside or out (only under a covered space). durable and fade resistant. The back of the mat is rubber backed to keep the mat from slipping on a smooth floor. Wash with high pressure from your garden hose or with a power was her. Use cleaner that does not produce suds.,"[""Brand: Caroline's Treasures"", 'Size: 24H x 36W', 'Material: Fabric', 'Weave Type: Needle Punched', 'Item Weight: 3.2 Pounds', 'Pile Height: Low Pile', 'Construction Type: Machine Made', 'Back Material Type: Rubber', 'Color: Day of the Dead Red Flowers Skull', 'Indoor/Outdoor Usage: Outdoor, Indoor', 'Theme: Animals', 'Is Stain Resistant: Yes', 'Product Care Instructions: Hand Wash Only', 'Pattern: Day of the Dead Red Flowers Skull', 'Shape: Rectangular', 'Special Feature: Large Size, High Traffic, Non Slip, Exterior, Decorative', 'Room Type: Laundry Room, Bathroom, Kitchen, Bedroom, Hallway', 'Product Dimensions: 36""L x 24""W', 'Rug Form Type: Doormat', 'Style: Day of the Dead Red Flowers Skull', 'Number of Pieces: 1', 'Item Thickness: 0.25 Inches', 'Item Weight: 3.2 pounds', ""Manufacturer: Caroline's Treasures"", 'ASIN: B01MR9GSZE', 'Country of Origin: USA', 'Item model number: BB5130JMAT', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 2 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #930,819 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #15,695 in Outdoor Doormats', 'Date First Available: January 24, 2017']",93187a9c-2f39-5187-8939-d37f0e5d8c83,2024-02-02 18:56:33 +B08ZC5CYXG,https://www.amazon.com/dp/B08ZC5CYXG,"glitzhome Adjustable Bar Stool Set of 2 Swivel Mid-Century Modern PU Leather Counter Dining Chairs with Back, Begin",glitzhome,$239.99,In Stock,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/51OPfpn9ovL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51OPfpn9ovL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41yk3nYYguL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NBmHWtb8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51tGDZc8BpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21zK4Tx-LSL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41A0AnW5FuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51XCfls5KgL.SS125_SS522_.jpg']",,Glitzhome,,"15.25""D x 20""W x 45.75""H","January 29, 2021",,Begin,,Mid-Century,[],,"['【Retro Design with Comfortable Footrest】----- Matte beige PU leather with strong metal black matte base and footrest and Made of bent plywood frame with walnut veneer. Whether placed in living room, kitchen, study or pub, the bar stools of retro design will go well with other furniture and satisfy you. Rounded footrest with appropriate height will carry some of your body weight to seat and gives your feet a comfortable rest. ', ' 【Soft Leather Seat with Backrest】-----The bar stools upholstered seat with premium sponge will provide comfortable sitting experience. Unique outer leather is soft and crease-resistant. The plywood curved stool High backrest and seat allows you to lean against it and reduces back fatigue. ', ' 【Sturdy Iron Frame & Secure Gas Lift Lever】-----Equipped with heavy-duty iron material, each bar stool is sturdy enough to withstand a maximum weight capacity of 264 lbs. Painted surface is easy to maintain and ensures prolonged service time. using BIFMA Class-3 gaslift, plywood frame with EPA TSCA Certificate and foam inside is Flame Resistant with CA TB117-2013 Certificate.Safe gas lift lever through exquisite craftsmanship and strict inspection is of great reliability. ', ' 【Adjustable Height & 360° Rotation】-----These bar stools are height adjustable which will accommodate sitters of different height and postures. Besides, airlift with handle is easy and effortless to operate. 360° Swivel bar chair for limitless mobility will increase more fun and offer more convenience. ', ' 【Firm Base with Anti-Scratch Rubber Ring】-----The firm as well as wide base can enhance powerful support to sitter and improve stability. Furthermore, anti-scratch rubber ring on the bottom will protect floor and realize slip resistance. In addition, simple structure and detailed instruction enable that the bar stool is simple to assemble.']",,"['Product Dimensions: 15.25""D x 20""W x 45.75""H', 'Color: Begin', 'Brand: glitzhome', 'Style: Mid-Century', 'Furniture Finish: Black,Matte,Veneer', 'Seat Height: 33.76 Inches', 'Leg Style: Mid-Century', 'Maximum Weight Recommendation: 264 Pounds', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 25.6 pounds', 'Manufacturer: Glitzhome', 'ASIN: B08ZC5CYXG', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 864 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #439,052 in Home & Kitchen (See Top 100 in Home & Kitchen) #976 in Barstools', 'Date First Available: January 29, 2021']",76218b45-aa73-5dc9-9aef-67a768fcd3cb,2024-02-02 18:56:33 +B01LYD3YB1,https://www.amazon.com/dp/B01LYD3YB1,Symmons 673TR-STN Identity Wall-Mounted Towel Ring in Satin Nickel,Symmons Store,,Only 18 left in stock - order soon.,"['Tools & Home Improvement', 'Hardware', 'Bathroom Hardware', 'Towel Rings']",https://m.media-amazon.com/images/I/31cLgr4MIBL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31cLgr4MIBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cwZPbjeGL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41kqi8uzhxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41F5WgCYo1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/517gJ4TUP0L.SS125_SS522_.jpg']",,Symmons,673TR-STN,8.25 x 7 x 1.81 inches,"November 1, 2016",China,Satin Nickel,Brass,Contemporary,[],"[{'Color': ' Satin Nickel '}, {'Material': ' Brass '}, {'Finish Type': ' Satin '}, {'Brand': ' Symmons '}, {'Installation Type': ' Wall-Mounted '}, {'Shape': ' Round '}, {'Item Weight': ' 0.46 Pounds '}]","['Brass ', ' Constructed of metal, ensuring durability and dependability ', ' Covered under limited lifetime residential/5-year commercial warranty ', ' Coordinates seamlessly with products from the Identity Collection ', ' Includes anchors for drywall or tile applications ', ' All hardware required for installation is included']",People who value quality value Symmons because our products are made right. That same Symmons quality goes into everything we make and everything we do—from our products to our people—it’s about integrity.,"['Color: Satin Nickel', 'Material: Brass', 'Finish Type: Satin', 'Brand: Symmons', 'Installation Type: Wall-Mounted', 'Shape: Round', 'Item Weight: 0.46 Pounds', 'Manufacturer: Symmons', 'Part Number: 673TR-STN', 'Item Weight: 7.4 ounces', 'Product Dimensions: 8.25 x 7 x 1.81 inches', 'Country of Origin: China', 'Item model number: 673TR-STN', 'Style: Contemporary', 'Finish: Satin', 'Item Package Quantity: 1', 'Usage: Inside', 'Included Components: Product Only', 'Batteries Included?: No', 'Batteries Required?: No', 'Warranty Description: Limited lifetime warranty to consumer; 10 year commercial warranty', 'ASIN: B01LYD3YB1', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 31 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #269,570 in Tools & Home Improvement (See Top 100 in Tools & Home Improvement) #361 in Bath Towel Rings', 'Date First Available: November 1, 2016']",907e1224-a99e-552b-ab01-b2e2351f95e3,2024-02-02 18:56:34 +B09D2T4GP4,https://www.amazon.com/dp/B09D2T4GP4,"glitzhome Kitchen Island with Storage Kitchen Cart on Wheels Rolling Kitchen Cart Island Table with Tower Holder Spice Rack Drawer for Dining Room Kitchen, 34.25”H, Red",glitzhome,$149.99,Only 4 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Kitchen Furniture', 'Storage Islands & Carts', 'Mobile Storage Islands']",https://m.media-amazon.com/images/I/51wSfraUuhL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51wSfraUuhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51YwbIeIfHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41A9y7aE8WL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41nPshLvncL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Lp1GFH0cL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41xCgIYj2gL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41eGxy+MRGL._SS522_.jpg']",,,,"17.25""D x 32.5""W x 34.5""H","August 19, 2021",,Red,"Mdf,Metal,Plastic",Shaker,[],,"['High Quality Material: The kitchen cart is made of oak wood, MDF (P2 MDF), metal and plastic in red finish with a natural solid oak wood top. Durable surface is conducive to prolong the use period. Smooth and waterproof, easy to clean. Overall dimension: 32.5”L×17.25”W×34.25”H. Weight: 47.3 lbs. ', ' Ample Storage Space: The mobile kitchen island is designed with a full length drawer, a cabinet with two spacious shelves inside and two open-tiered shelves with slatted bases, provides spacious space to store dishes, dinnerware, napkins, pots and pans, convenient and accessible way to display your small appliances, keep your kitchen organized and tidy. The side towel bar keeps kitchen towels on hand. ', ' Elegant Addition: The open shelves have a fixed slatted base, the kitchen cart is equipped with 4 heavy-duty casters, you can roll it anywhere or keep it in a fixed position by locking the caster wheels into place. The high quality wheels cause lower noise and less floor scratching. The shelf divider inside of the cabinet is adjustable with 3 height settings for storing items of different sizes. Enhance your kitchen area and take care of your storage needs with this kitchen cart. ', ' Wide Application: The kitchen island is very suitable for kitchen dining cart, hotel cart, kitchen storage rack, kitchen workstation, great for family, kitchen, hotel and apartment use. The classic finish showcases a elegant look, can easily blend with a variety of home style and coordinate with any home decor. For small kitchens, kitchen carts also do double-duty by acting as a rolling dining surface (particularly useful in studio apartments or dormitories). ', ' Simple Assembly: This kitchen island cart comes with step-by-step assembly instruction, you can finish the assembly in about 20 minutes. The smooth wooden surface is waterproof and easy to keep clean with a damp cloth. If you have any question, pls contact our customer service team, we are always here for you.']",,"['Brand: glitzhome', 'Color: Red', 'Product Dimensions: 17.25""D x 32.5""W x 34.5""H', 'Special Feature: Waterproof, Durable', 'Mounting Type: Floor Mount', 'Room Type: Kitchen, Dining Room', 'Door Style: Shaker', 'Included Components: Shelves', 'Size: Red', 'Base Type: Casters', 'Back Material Type: Engineered Wood', 'Assembly Required: Yes', 'Frame Material: Mdf,Metal,Plastic', 'Item Weight: 51.2 pounds', 'ASIN: B09D2T4GP4', 'Customer Reviews: 3.2 3.2 out of 5 stars \n 50 ratings \n\n\n 3.2 out of 5 stars', 'Best Sellers Rank: #1,649,487 in Home & Kitchen (See Top 100 in Home & Kitchen) #489 in Mobile Kitchen Storage Islands', 'Date First Available: August 19, 2021']",b1b17f81-4429-5a92-83b2-28acea622500,2024-02-02 18:56:35 +B005H05TWC,https://www.amazon.com/dp/B005H05TWC,"Lipper International Child's Toy Chest, 33.25"" W x 17.75"" D x 24.5"" H, Walnut Finish",Lipper International Store,,Only 4 left in stock (more on the way).,"['Baby Products', 'Nursery', 'Furniture', 'Storage & Organization', 'Toy Chests & Organizers']",https://m.media-amazon.com/images/I/41IWlgQ25-L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41IWlgQ25-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31n+4hIVHEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51t3iigHPtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31AnD54-mEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31LSCyY+8tL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/411Ix5I8KdL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61OphHyZktL.SS125_SS522_.jpg']",,No,598WN,"17.75""L x 33.25""W x 24.5""H","August 5, 2011",China,Walnut Finish,"Engineered Wood, Beechwood, Metal",,[],"[{'Brand': ' Lipper International '}, {'Color': ' Walnut Finish '}, {'Material': ' Engineered Wood, Beechwood, Metal '}, {'Special Feature': ' Rollable '}, {'Recommended Uses For Product': ' For Arts & Crafts '}]","[""Perfect for the playroom or child's bedroom - Make cleaning up and storing toys both fun and easy! "", ' Meets and exceeds all safety requirements! Features a slow close safety hinge to protect little hands and fingers ', ' Two holes located in the back panel with spaces located beneath the front and back of lid to allow air into the toy chest should children climb inside ', ' Includes: 1 walnut finished toy chest, hardware for assembly - NOTE: Toys in image are not included ', ' Dimensions (W x D x H): 33 1/4"" x 17 3/4"" x 24 1/2""']","Lipper International provides exceptionally valued items for the kitchen, home, office, and child's playroom. Beautifully finished and incredibly sturdy, the Kids Collection from Lipper International is perfect for any child. Add a new dimension of fun and functionality for your children within any room of your home. Having sturdy design and rugged durability, our tables, desks, chairs, and toy chests provide children of all ages with colorful items well suited for play and creativity. The wide assortment of color and design of our Kids Collection will match any child's room and exceed expectations. Make cleaning up and storing toys both fun and easy with the Child's Toy Chest from Lipper. This chest meets and exceeds all safety requirements! It features a slow close safety hinge to protect little hands and fingers. There are two holes located in the back panel with spaces located beneath the front and back of lid to allow air into the toy chest should children climb inside. Constructed from beech wood and medium density-fibreboard (MDF), it has a beautiful finish that complements any decor. Wipe with slightly damp cloth. Do not soak. Do not use soap. Dry immediately with cloth or towel. Do not allow to air dry. Product will warp if it is not dried immediately.","['Brand: Lipper International', 'Color: Walnut Finish', 'Material: Engineered Wood, Beechwood, Metal', 'Special Feature: Rollable', 'Recommended Uses For Product: For Arts & Crafts', 'Product Dimensions: 17.75""L x 33.25""W x 24.5""H', 'Capacity: 34 Pounds', 'Closure Type: Flip Top', 'Water Resistance Level: Not Water Resistant', 'Item Weight: 30.2 Pounds', 'Opening Mechanism: Lift-Off Lid', 'Shape: Rectangular', 'Pattern: Solid', 'Number of Items: 1', 'Storage Volume: 3 Cubic Feet', 'Number of Compartments: 1', 'Unit Count: 1.0 Count', 'Item Package Quantity: 1', 'Item Weight: 30.2 pounds', 'Country of Origin: China', 'Item model number: 598WN', 'Is Discontinued By Manufacturer: No', 'Weight: 32 Pounds', 'ASIN: B005H05TWC', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 93 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #90,467 in Baby (See Top 100 in Baby) #510 in Toy Chests & Organizers', 'Date First Available: August 5, 2011']",b0d2c5ca-144e-56df-b0c1-971a334a0d5e,2024-02-02 18:56:36 +B0BNWVLYV1,https://www.amazon.com/dp/B0BNWVLYV1,"dnbss LED Nightstand with Charging Station, Swivel Top Bedside Table with Wheels, Smart Night Stand with Laptop Table Workstation for Bedroom, Modern End Side Table (Black)",dnbss Store,$109.99,In Stock,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Nightstands']",https://m.media-amazon.com/images/I/41CANS+MiTL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41CANS+MiTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41SismNVCTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mA4DEil4L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31ocEWkaXPL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51vo4ArbhJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51st6pnIziL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51lYoYF2i4L._SS522_.jpg']",,,,"16""D x 20""W x 27.5""H",,,1-black,Wood,Modern,[],,"['✅[Auto ON/OFF LED Light] - This smart nightstand has 3 colors: white / blue / warm light with 10-100% dimming brightness. It can auto-turn ON/OFF by human body induction. When people approach, the light turns on, and when people leave, the light turns off. You can choose different lights as needed and scenes, making your home looks more modern and fashionable. ', ' ✅ [Socekts & USB Ports] - Bedside table with 2 Standard Plug Outlets & 2 USB Charging Ports, allows you easily to charge mobile devices, laptops, and iPad, making your life more convenient when working on the bed or sofa. ', ' ✅[Laptop Tray Workstation] - The top laptop desk on the side table is designed for work, study, and watching films. It has a safety edge stopper and can be adjusted height / angle / 360 rotated, whether placed on the sofa or the bed, you can find the suitable position. ', ' ✅[Large Capacity] - The led nightstand offers a spacious storage room for nighttime necessities. Has 1 rotatable work desk; 2 open storage shelves; 1 drawer. The tabletop can place alarm clock, phone, charger, and eyeglasses, keeping them within your reach. ', ' ✅[Easy to Install & Move] - The drawers of the end table can be installed front or back, so as to fit both right or left side use. There are 4 lockable wheels under the bedroom night stand, which can be easily moved to the living room sofa, bedroom bedside, study room, etc.']",,"['Brand: dnbss', 'Shape: Rectangular', 'Room Type: Dorm Room, Living Room, Bedroom, Home Office, Study Room', 'Included Components: 1x LED Nightstand, 1x Assembly Guide, 1x Pack of Installation Tool', 'Color: 1-black', 'Furniture Finish: Black', 'Model Name: Nightstand', 'Model Number: 9186', 'Age Range (Description): Adult', 'Customer Reviews: 4.1 4.1 out of 5 stars \n 511 ratings \n\n\n 4.1 out of 5 stars', 'Best Sellers Rank: #89,376 in Home & Kitchen (See Top 100 in Home & Kitchen) #121 in Nightstands', 'Special Feature: Led Light, Adjustable Height, Rotatable, Flip Top, Charging Station', 'Mounting Type: Floor Mount', 'Base Type: Wheel', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 16""D x 20""W x 27.5""H', 'Item Width: 20 inches', 'Size: General', 'Number of Items: 1', 'Frame Material: Wood', 'Product Care Instructions: Wipe with Dry Cloth', 'Style: Modern', 'Table design: Tray Table', 'Pattern: Solid', 'Occasion: Housewarming', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Specific Uses For Product: Home Décor', 'Recommended Uses For Product: Reading, Writing']",32c52da9-8bbd-5631-a33d-baa27afad141,2024-02-02 18:56:37 +B0C2GZNDXF,https://www.amazon.com/dp/B0C2GZNDXF,"Remote Control Holder,TV Remote Caddy/Box with 5 Compartments,Bedside Table Organizer for Controller,Glasses,makeup brushes,jewelry and Media Player,Pen/Pencil Storage(Orange)",RHCSZ Store,$13.99,In Stock,"['Office Products', 'Office & School Supplies', 'Filing Products', 'Supply Organizers']",https://m.media-amazon.com/images/I/41p58TdmyoL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41p58TdmyoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41EaEnk-KuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41BVw-7a1OL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41J1Im6LjbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31-AD6RGNBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qsvWRoYfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41M09M1HRYL._SS522_.jpg']",,shen zhen rui he cheng shi ye you xian gong si,RHC-0210,"8.47""D x 2.94""W x 4.7""H",,China,Orange,Leather,,[],,"['A perfect solution to storage various remote controllers ,Overall size: 8.46 inches (length) x 2.95 inches (width) x 4.72 inches (height), five divisions, width and thickness of each division about is 2.36x1.42 inches ', "" Excellent material: The surface is made of high-quality pu leather, waterproof and non-slip, the inner lining is flannel, soft and exquisite, the structural support is Artificial wood board, strong and durable.It's very safe "", ' The design is beautiful and practical: the arc-shaped plus line design, with sponge filling under the leather, looks very high-end, 5 divisions are very suitable for putting all your remote controls on hand and easy to identify, saving time and energy Space, to provide protection for the remote control from scratches, grease and abrasions. ', ' The application scenarios are very wide: used in tables, toilets, dining rooms, living rooms, study rooms, bedrooms and offices, and can be used as storage for stationery, glasses or makeup brushes. It can also be used to store various remote controls for cable boxes, Roku, Apple TV, Amazon Fire TV, sound bars, etc. Make your desktop neat and beautiful ', ' Choose the color that best compliments your home décor:Available in 6 different colors,Grey Caddy Organizer is a classic bedside table decor box perfect for women']",,"['Specific Uses For Product: Storage', 'Material: Leather', 'Special Feature: Storage', 'Color: Orange', 'Brand: RHCSZ', 'Finish Type: Leather', 'Product Dimensions: 8.47""D x 2.94""W x 4.7""H', 'Number of Compartments: 3', 'Shape: Arcs', 'Number of Items: 1', 'Item Weight: 7.2 ounces', 'Manufacturer: shen zhen rui he cheng shi ye you xian gong si', 'ASIN: B0C2GZNDXF', 'Country of Origin: China', 'Item model number: RHC-0210', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 1,376 ratings \n\n\n 4.8 out of 5 stars', 'Best Sellers Rank: #109,096 in Office Products (See Top 100 in Office Products) #620 in Supply Organizers', 'Finish types: Leather', 'Batteries required: No']",d7288ecb-c3b7-561b-8bcb-a8c9e6d8ffbe,2024-02-02 18:56:37 +B09JSR3CYZ,https://www.amazon.com/dp/B09JSR3CYZ,"MoNiBloom Foldable Storage Free Standing Shoes Shelf, Bamboo Multifunctional 4-Tier Shoe Organizer for 16-20 Pairs Entryway, Hallway, Corridor, Natural",MoNiBloom Store,$51.99,Only 3 left in stock (more on the way).,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Folding Shoe Racks']",https://m.media-amazon.com/images/I/41SpDKbBslL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41SpDKbBslL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+-oraRkkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cuT-saWtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414InSVGzFL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/418I3+OyVCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41EeUrFg9yL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+asExV6FL.SS125_SS522_.jpg']",,MoNiBloom,,"7""D x 27.2""W x 24.4""H",,,,Bamboo,Modern,[],,"['Special Design - With X-shaped design to make shoes rack stay stable without shaking during your use, shoes shelf is very suitable to be placed indoors or outdoors. ', ' Free-Installation - Pull out the shoe rack and use it directly without any installation tools. Because of its foldable design, this shoe storage organizer will not take up space. ', ' Material - Made of natural bamboo, multi-tier shoe rack is safe and environmentally friendly. Because it adopts natural paint, no longer worry about your family and your physical and mental safety. ', ' Multifunctional - Ideal for garden, patio, entrance, living room, bathroom, or bedroom. Storage display shelf for flower pots, shoes, sundries, decorations, shoes, books, toiletries, towels, clothes, etc. ', ' Exquisitely Crafted - Through the polishing process, shoe organizer surface is burr-free, avoiding your hand injury and scratches on shoes. The slatted design contributes to air circulation and prevents any odor.']",,"['Mounting Type: Floor Mount', 'Room Type: Bathroom, Living Room, Bedroom, Hallway', 'Shelf Type: Tiered Shelf', 'Number of Shelves: 4', 'Special Feature: Foldable', 'Recommended Uses For Product: Shoes', 'Installation Method: Freestanding', 'Material: Bamboo', 'Finish Type: Painted', 'Product Care Instructions: Wipe with Damp Cloth', 'Furniture Finish: Natural', 'Shape: Rectangular', 'Style: Modern', 'Customer Reviews: 3.6 3.6 out of 5 stars \n 2 ratings \n\n\n 3.6 out of 5 stars', 'Best Sellers Rank: #3,864,631 in Home & Kitchen (See Top 100 in Home & Kitchen) #12 in Folding Shoe Racks', 'Brand: MoNiBloom', 'Number of Items: 1', 'Manufacturer: MoNiBloom', 'Included Components: Free Standing Shoe Racks', 'Model Name: MoNiBloom A01A3A001A5', 'Model Number: A01A3A001A5', 'Product Dimensions: 7""D x 27.2""W x 24.4""H', 'Size: Length 27.2""', 'Unit Count: 1.0 Count', 'Assembly Required: No']",a10176fb-74af-5428-9aaf-2787aa4d66d2,2024-02-02 18:56:38 +B072P27BTW,https://www.amazon.com/dp/B072P27BTW,"Walker Edison Furniture Modern Round Nesting Coffee Accent Table Living Room, Walnut/Gold",Walker Edison Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'Nesting Tables']",https://m.media-amazon.com/images/I/51U3y0LRMeL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51U3y0LRMeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41JnmxcVPoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61Rnu-a235L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+s7S6+o0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cBq4ai-dL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41vP+XQYAmL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51F-bMx1MVL.SS125_SS522_.jpg']",,,,"27.5""D x 28""W x 15.12""H",,,Walnut/Gold,Manufactured Wood,Coffee Table,[],,"['Dimensions: Large: 16"" H x 28"" L x 28"" W - Small: 12"" H x 18"" L x 18"" W ', ' Made from durable laminate, metal, and high-grade certified MDF for long-lasting construction ', ' Featuring a faux marble table top for a durable foundation ', ' Set includes one large and one small coffee table ', ' Supports up to 75 lbs.']","Add a modern boho element to your living room with our unique geometric nesting table set. Includes one large and smaller coffee table to give you extra table space so you can display your magazines and reading material on one, while the other can be used to decorate with glass vases within your living room. The artfully designed, geometric shaped base is made up of a painted, sturdy metal frame. Our bold accent table set will be a wonderful addition to your home’s décor.","['Brand: Walker Edison', 'Shape: Round', 'Room Type: Living Room', 'Color: Walnut/Gold', 'Finish Type: Painted', 'Furniture Finish: Walnut', 'Model Name: Modern Round Nesting Coffee', 'Model Number: AZF28CLRGWGD', 'Customer Reviews: 3.4 3.4 out of 5 stars \n 163 ratings \n\n\n 3.4 out of 5 stars', 'Best Sellers Rank: #1,813,506 in Home & Kitchen (See Top 100 in Home & Kitchen) #423 in Nesting Tables', 'Special Feature: Portable', 'Base Type: Legs', 'Product Dimensions: 27.5""D x 28""W x 15.12""H', 'Item Width: 28 inches', 'Size: Set of 2', 'Item Weight: 14 Kilograms', 'Maximum recommended load: 100 Pounds', 'Number of Items: 2', 'Base Material: Powder-coated Steel,Metal', 'Frame Material: Glass, Engineered Wood, Metal', 'Top Material Type: Manufactured Wood', 'Style: Coffee Table', 'Table design: Coffee Table', 'Assembly required: Yes', 'Assembly Instructions: Full Assembly Needed,Avoid Power Tools', 'Warranty Type: Limited', 'Specific instructions for use: Residential Use']",e5596d53-58a9-528c-af7f-9ae10b5ceba2,2024-02-02 18:56:39 +B071HWKHQL,https://www.amazon.com/dp/B071HWKHQL,Way Basics Book Shelf 4 Cubby Storage (Tool-free Assembly),Way Basics Store,$59.99,In Stock,"['Home & Kitchen', 'Furniture', 'Home Office Furniture', 'Bookcases']",https://m.media-amazon.com/images/I/31eEZQKN+rL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31eEZQKN+rL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41qGZvAU9bL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41jdEuX8RbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51SLIPqYnrL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51DvH1FXVWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51j5DYE3CCL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/51D4o83OLiL.SS125_SS522_.jpg']",,Way Basics,,"12""D x 26.4""W x 24.8""H",,,,Recycled Material,Modern,[],,"[""IT'S NOT WOOD; IT'S BETTER - Made with durable zBoard recycled paperboard "", ' TOOL-FREE ASSEMBLY - Easy to assemble, no tools required, just peel the 3M adhesive strips and put together with easy-align pins ', ' STRONG and DURABLE - Maximum load 50 lbs (recommended); Placing the unit on its side or back will compromise structural integrity, use right side up! ', ' DIMENSIONS - Exterior: D : 12.0"" H : 24.8"" W : 26.4"" Interior: D : 11.2"" H : 11.2"" W : 11.8""']","The black 4 cubby cube is an affordable way to organize and decorate your home all in one. Way Basics cubes are individuals, but they can come together to work as a team. You can stack them and customize them to fit your taste preference. You can even mix up colors or go monotone, the choice is yours. The 4 cubby cube is made from Way Basics' Patented material, a lighter and healthier alternative to particle board and MDF. This product is affordable, easy to assemble, stylish what more can you ask for!","['Mounting Type: Floor Mount', 'Room Type: Living Room, Bedroom, Library, Study Room', 'Shelf Type: Cubby Shelf', 'Number of Shelves: 4', 'Special Feature: Heavy Duty', 'Recommended Uses For Product: Indoor', 'Installation Type: Self Adhesive', 'Material: Recycled Material', 'Finish Type: white', 'Product Care Instructions: Wipe with Dry Cloth', 'Furniture Finish: white', 'Shape: Cubical', 'Style: Modern', 'Assembly Required: Yes', 'Customer Reviews: 3.2 3.2 out of 5 stars \n 202 ratings \n\n\n 3.2 out of 5 stars', 'Best Sellers Rank: #361,852 in Home & Kitchen (See Top 100 in Home & Kitchen) #894 in Bookcases', 'Age Range (Description): Adult', 'Brand: Way Basics', 'Number of Items: 1', 'Manufacturer: Way Basics', 'Included Components: Alignment pins, adhesive tapes, zBoard', 'Model Name: 4 Cubby Storage (Tool-free Assembly)', 'Target Gender: Unisex', 'Model Number: Book Shelf', 'Product Dimensions: 12""D x 26.4""W x 24.8""H', 'Size: 4 Cubby Storage Shelf', 'Item Weight: 14 Pounds', 'Unit Count: 1.0 Count']",894ea72c-df59-5240-95da-9a65d87c74b0,2024-02-02 18:56:40 +B0BJ7PQ9XH,https://www.amazon.com/dp/B0BJ7PQ9XH,"Mind Reader Trash Can and Toilet Brush Set, Bathroom Decor, Swivel Lid, Accessories, 8.75"" W x 11.25"" H, 2 Piece Set, Gray",Mind Reader Store,,Only 12 left in stock - order soon.,"['Home & Kitchen', 'Storage & Organization', 'Trash, Recycling & Compost', 'Wastebaskets']",https://m.media-amazon.com/images/I/31ktspfOC9L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31ktspfOC9L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41u5LkHpiuL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Y1oCfLx-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31EDyXxNj8L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41RlsyIE54L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31lb91BLCEL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41FFV6I5mKL.SS125_SS522_.jpg']",,EMS Mind Reader LLC,CRYSTOIL-GRY,8.75 x 8.75 x 11.25 inches,,Israel,,,,[],"[{'Material': ' Plastic '}, {'Color': ' Gray '}, {'Brand': ' Mind Reader '}, {'Included Components': ' Toilet Brush '}, {'Number of Pieces': ' 2 '}]","['100% Plastic ', ' Compact and space-saving: Easily place this waste paper basket between the sink and toilet bowl or under the sink ', ' Great capacity: The waste paper basket holds up to 2.1 gallons (8 L) of waste, and can be used with or without a 2-gallon trash bag. The swiveling lid holds the liner securely in place while concealing the bag and its contents ', ' Convenient and Stylish: The swivel lid on the bin and a disk on the brush discreetly hide the contents and keep your bathroom looking tidy with its timeless diamond design ', ' Durable: Its sturdy plastic construction allows it to stand up to everyday use, and it is resistant to scratches and dents ', ' Optimal dimensions: The bin measures 8.75 inches in length, 8.75 inches in width, and 11.25 inches in height (22.4 x 22.4 x 29.2 cm), allowing it to fit easily between the sink and toilet bowl. The accompanying brush measures 15.25 inches tall (38.74 cm)']","Maximize Space with a Versatile 2-Piece Set Introduce this sleek 2-piece waste paper basket and toilet brush set to your home or office bathroom for a practical and stylish solution. Its compact design easily fits into tight corners or under the sink. The stylish set compliments any decor, its sophisticated diamond pattern adds a hint of luxury. Consider investing in multiple sets if you have several bathrooms and need efficient space-saving solutions. The versatility of the waste paper basket extends to the kitchen, where it can serve as a storage bin for compostable scraps. Operation is seamless — the waste basket, which can be used with or without a 2-gallon trash bag, features a swiveling lid that holds the liner securely in place while concealing the bag and its contents. The toilet brush comes with a disk on the handle, serving as a lid when docked in its base, preventing drips or spills. The waste paper bin, toilet brush, and base are all easy to clean - a bit of soap, water, and sanitizer keeps them looking neat and fresh.","['Product Dimensions: 8.75 x 8.75 x 11.25 inches', 'Item Weight: 2.4 pounds', 'Manufacturer: EMS Mind Reader LLC', 'ASIN: B0BJ7PQ9XH', 'Country of Origin: Israel', 'Item model number: CRYSTOIL-GRY', 'Best Sellers Rank: #96,630 in Industrial & Scientific (See Top 100 in Industrial & Scientific) #625 in Wastebaskets #1,439 in Commercial Trash Cans', 'Fabric Type: 100% Plastic', 'Assembly required: No', 'Number of pieces: 2', 'Batteries required: No', 'Included Components: Toilet Brush']",df7010de-4311-576e-a665-1a2cf556e4f4,2024-02-02 18:56:40 +B01M0S28J1,https://www.amazon.com/dp/B01M0S28J1,"#4203 Adjustable 1/4"" Threaded Non-Skid Leveling Glides Black Pad 4-Pack",Abacus Swivel Chair Parts,$15.70,Only 6 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/31Oas3rE7sL._SS522_.jpg,['https://m.media-amazon.com/images/I/31Oas3rE7sL._SS522_.jpg'],,No,4203,4.2 x 3 x 0.5 inches,"September 15, 2016",,,,,[],"[{'Brand': ' Abacus Swivel Chair Parts '}, {'Material': ' Metal, Rubber '}, {'Color': ' Black '}, {'Product Dimensions': ' 0.25""L x 0.25""W '}, {'Shape': ' Round '}]","['Threaded adjustable leveling glide ', ' 1/4""x 20 threads, Screw 1"" high ', ' Black NON Skid ', ' Used on Chairs, Tables & Desk Furniture ', ' Package of 4 pieces']","1/4""x20 threads with Screw 1"" high & Black NON-Skid pad. Threaded adjustable leveling glide.","['Item Weight: 2.39 ounces', 'Package Dimensions: 4.2 x 3 x 0.5 inches', 'Item model number: 4203', 'Is Discontinued By Manufacturer: No', 'ASIN: B01M0S28J1', 'Customer Reviews: 2.4 2.4 out of 5 stars \n 3 ratings \n\n\n 2.4 out of 5 stars', 'Best Sellers Rank: #2,698,352 in Home & Kitchen (See Top 100 in Home & Kitchen) #7,290 in Living Room Chairs', 'Date First Available: September 15, 2016']",b71b66f7-4703-50dc-84dd-daeda81e9c37,2024-02-02 18:56:41 +B09VFPFBND,https://www.amazon.com/dp/B09VFPFBND,Funny Welcome Doormat for Entryway Front Porch Mat Welcome Madafakas Bulldog with Gun Doormat for Front Door Decor Personalized Kitchen Mat with Anti-Slip Rubber Back Novelty Gift Mat(23.7 X 15.9 in),GXFC ZHAO Store,$25.02,Usually ships within 1 to 2 months,"['Patio, Lawn & Garden', 'Outdoor Décor', 'Doormats']",https://m.media-amazon.com/images/I/415x2v3cW5L._SS522_.jpg,"['https://m.media-amazon.com/images/I/415x2v3cW5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51J7+bY5HWL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414jzPJM82L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51iIZ90GfLL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51DoBN4UD5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+NzT-3K7L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41R2rF2zdeL._SS522_.jpg']",,zhaoqiuhua,,"23.7""L x 15.9""W","March 13, 2022",,"Colorful,Funny,Novelty,Personalized",Rubber,Farmhouse,[],"[{'Brand': ' GXFC ZHAO '}, {'Size': ' Onesize '}, {'Material': ' Rubber '}, {'Weave Type': ' Machine Made '}, {'Pile Height': ' Low Pile '}]","['Material: Colorful print Polyester fiber Top with Rubber ANTI-SLIP Back,SAFE FOR KIDS AND PETS.Seize the floor and durable. Absorbent doormat as front door decorspring door matdoor rugs for entryway indoorinside door mats ntryway mat. ', ' Dimension:23.7""(L)x15.9""(W)x0.18thick(40cmx60cmx0.3cm).Thin doormat with quotes or picture .A good Novelty gift choice as valentines day door matspring door mat ntryway matindoor door mats for entrywaygarage rugsmall rugs for entryway. ', ' Function: Unique entryway rug also as dirty dog door mat decor your house warm and individual one.Inside mats wipe dust keep house cleaning. Machine Washable Mat as Entryway rugs indoor non slip、mud room rug、shoe mat、farmhouse door mat、garage rug. ', ' Decorative：Indoor rug for entryway with funny quotes and monogram letter make this mat suit for decor area.Indoor mats for home entrance decorate your house cool and individuality one.Mud room mats Also can be a Prank and Funny Gift. Entry rug. ', ' Customer Service: We provide 100% 0 risk purchase,contact us if you have any question about GXFC ZHAO no matter before or after your purchase ! We will do our best to make you Satisfied,we will reply by e-mail within 24 hours.']","""★Home front porch Decor Doormat with |ANTI-SLIP|Rubber Back. Colourful print on Non-woven Polyester fiber,【safe for kids and pets】absorbent mudroom rug Shoe mat door mat farmhouse indoor entrance、tapetes para entrada de puertas、rubber shoe mat for front door ★Dimension: 15.9""""(W)x23.7""""(L)(40cmx60cm) 0.12 inch thickness. Door rugs for entryway thin doormat dirty dog Doormat with personalized design or popular quotes on it. Really good choice for Prank Gift、Festival Gift or Novelty Gift Valentines day Presents. ★【Advantage】This Machine Washable door mats is suitable for Entrance way indoor.Also can use as bedroom mat、welcome mats for front door funny、bath mat、floor mats for house、coir doormat、thin rugs for under door indoor mud mat kitchen door mat、winter doormats、absorb rugs for entryway、front door mat outdoor funny thin door mat indoor low profile waterproof door mat front porch rugs. 、low profile rugs for entryway、dog rug mud free pet rug、living room mat or a kitchen mats. Perfect fit for kids room mat、office mat and stairs. Safe for hardwood floors too.Entryway rugs indoor non slip.Door mats for home entrance funny.  ★【Customer service】:We always try to create a perfect shopping environment. 【0 risk purchase】 is available here, contact us if you have any question about GXFC ZHAO no matter before or after your purchase ! We will do our best to make you Satisfied. ★【Giving a perfect shopping experience is always our service purposes!】""","['Brand: GXFC ZHAO', 'Size: Onesize', 'Material: Rubber', 'Weave Type: Machine Made', 'Pile Height: Low Pile', 'Construction Type: Machine Made', 'Back Material Type: Rubber', 'Color: Welcome Madafakas Bulldog With Gun', 'Theme: Colorful,Funny,Novelty,Personalized', 'Is Stain Resistant: No', 'Product Care Instructions: Machine Wash', 'Pattern: Letter Print', 'Shape: Rectangular', 'Special Feature: Anti-slip', 'Room Type: Hallway', 'Product Dimensions: 23.7""L x 15.9""W', 'Rug Form Type: Doormat', 'Style: Farmhouse', 'Number of Pieces: 1', 'Item Weight: 14.4 ounces', 'Manufacturer: zhaoqiuhua', 'ASIN: B09VFPFBND', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 7 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #544,603 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #8,167 in Outdoor Doormats', 'Date First Available: March 13, 2022']",510a547f-be34-5942-b8c2-53c4ffa833d8,2024-02-02 18:56:41 +B0B2JRSBL3,https://www.amazon.com/dp/B0B2JRSBL3,"KINGYES Folding Adjustable Backrest Adirondack Chair, Gray",KINGYES Store,$159.99,In Stock,"['Patio, Lawn & Garden', 'Patio Furniture & Accessories', 'Patio Seating', 'Chairs', 'Adirondack Chairs']",https://m.media-amazon.com/images/I/41RnRNOgDDL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41RnRNOgDDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cfxIwg-QL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41gBGU4KBlL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41sLdpa+oBL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ffjpUyKfL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/417XKcwYfaL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/910wKXZ8jiL.SS125_SS522_.jpg']",,,,"35.8""D x 29.3""W x 36.2""H","May 27, 2022",,Grey,,With arms,[],,"['Adjustable Recline: Unlike traditional Folding Adirondack chairs, our adjustable Adirondack chair features 3 reclining positions, you can effortlessly find the angle that suits your relaxation style. Whether you prefer an upright posture for socializing or a laid-back recline for unwinding, this chair adapts to your every mood. ', "" Built-In Cup Holder: Say goodbye to spills and juggling your drink! Our Folding Adjustable Adirondack chair comes equipped with a convenient built-in cup holder. Whether you're enjoying a cold beverage on a sunny day or a warm cup of coffee on a cool evening, your drink is always within reach. "", ' Oversize Adirondack Chair: Overall Size is 35.""L x 29.3""W x 36.2""H, its oversized design perfectly fits most body shape. With the thicker slat, this Folding Adjustable Adirondack chair with cup holder max hold up to 380 pounds of weight. ', "" 80% Pre-assembled: This Adirondack reclining chair will come with 8 parts, clear instructions and necessary hardware provided. Only need 5 steps according to the manual included or the video we uploaded, and you will get a fashion composite Adjustable Adirondack Chair .(ATTENTION: Please don't over tighten Nuts at step 3, ensure the bolts can adjust for backrest reclining) "", ' HDPE Materials: Crafted from high-quality, eco-friendly materials, our adjustable Adirondack chair combines style with sustainability. The UV-resistant finish ensures vibrant color retention, making it a durable and aesthetically pleasing addition to your outdoor decor. ', ' Easy Maintenance: Spend more time enjoying your outdoor oasis and less time on maintenance. The low-maintenance design of KINGYES Adirondack chair requires minimal care, allowing you to focus on creating lasting memories in your outdoor space. ', ' Our Promise: 1000 days guarantee. We provide replacement parts free of charge, when the product is damaged in the case of non-human factors, the problem of missing parts. Always reach out to us when you have any product related issues. ', ' Stylish Design: With its elegant silhouette and wood-like grain designs, this Adjustable Adirondack Chair complements any outdoor decor style. Its timeless design adds a touch of sophistication to your patio or garden. ', ' Luxurious Ergonomics: Experience unparalleled comfort with the ergonomic design of our Adjustable Adirondack Chair. The contoured seat, wide armrests, and adjustable backrest provide optimal support, allowing you to sink into relaxation without sacrificing style.']",,"['Brand: KINGYES', 'Color: Grey', 'Product Dimensions: 35.8""D x 29.3""W x 36.2""H', 'Size: Embossing', 'Back Style: Solid Back', 'Special Feature: Adjustable Lumbar, Ergonomic, Seat Lock', 'Unit Count: 1 Count', 'Recommended Uses For Product: Sunbathing, Reading', 'Maximum Weight Recommendation: 350 Pounds', 'Style: Modern', 'Pattern: Solid', 'Room Type: Poolside, Garden, Backyard, Deck, Patio Garden', 'Age Range (Description): Adult', 'Included Components: Installation Manual, Installation Hardware', 'Model Name: Adirondack', 'Arm Style: With arms', 'Surface Recommendation: Hard Floor', 'Furniture base movement: Glide', 'Form Factor: Foldable', 'Furniture Finish: Plastic', 'Item Weight: 32 pounds', 'ASIN: B0B2JRSBL3', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 73 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #33,703 in Patio, Lawn & Garden (See Top 100 in Patio, Lawn & Garden) #15 in Adirondack Chairs', 'Date First Available: May 27, 2022']",c88138fb-5c2c-5f19-939a-a18c479ce897,2024-02-02 18:56:43 +B08KLBTL5R,https://www.amazon.com/dp/B08KLBTL5R,"Leick Home 10109-GR Oval Condo/Apartment Coffee Table with Shelf, Smoke Gray",Leick Home Store,,,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'Coffee Tables']",https://m.media-amazon.com/images/I/31hgF2KPIJL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31hgF2KPIJL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31cUs+PMtDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41x4W+nGb0L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41eIxLNxKVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Wz7LPkpzL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51jfZpAuBXL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,"Leick Furniture, Inc.",10109-GR,"23""D x 33""W x 19""H",,,Smoke Gray,Wood,Oval Coffee Table,[],,"['Wood ', ' Assembled Dimensions: 33 inches L x 23 inches W x 19 inches H ', ' Diamond matched veneer top with grooved surface texture ', ' Oval space saving design perfect small space solution for apartments and condos ', ' Smoke Gray Finish ', ' Simple assembly in minutes']","Round and oval tables offer a perfect solution for corners and transitional spaces in the room. These beautiful silhouettes finish groove and matched veneer surface treatments with a cool, gray tone. And with no corners to bump, are easy to live with in smaller spaces. Designed and manufactured by Leick Home, the trusted source for quality home furnishings for every taste and budget.","['Product Dimensions: 23""D x 33""W x 19""H', 'Color: Smoke Gray', 'Brand: Leick Home', 'Table design: Coffee Table', 'Style: Oval Coffee Table', 'Finish Type: Veneer', 'Base Type: Leg', 'Model Name: 10109-GR Oval Condo/Apartment', 'Item Weight: 30 Pounds', 'Included Components: Coffee Table', 'Furniture Finish: Stained', 'Material: Wood', 'Number of Items: 1', 'Number of Shelves: 1', 'Item Weight: 30 pounds', 'Manufacturer: Leick Furniture, Inc.', 'ASIN: B08KLBTL5R', 'Item model number: 10109-GR', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 94 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #1,207,474 in Home & Kitchen (See Top 100 in Home & Kitchen) #5,089 in Coffee Tables', 'Fabric Type: Wood', 'Finish types: Veneer', 'Assembly required: Yes', 'Number of pieces: 1', 'Warranty Description: 1-year limited warranty.', 'Batteries required: No']",bf6f9611-cb3a-5f3e-9754-81d08e92a071,2024-02-02 18:56:44 +B071DZG655,https://www.amazon.com/dp/B071DZG655,Carter's by DaVinci Colby 3-Drawer Dresser in Grey,DaVinci Store,$199.00,Available to ship in 1-2 days,"['Baby Products', 'Nursery', 'Furniture', 'Changing & Dressing', 'Chests & Dressers']",https://m.media-amazon.com/images/I/31eTOoDK36L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31eTOoDK36L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41mtMO5iDtL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31QffIwIziL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31lR93plzYL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31Ln2QParQL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31rWAPsjdkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31f6q-DDiCL._SS522_.jpg']",,,F11923G,"33.9""D x 18.1""W x 33.8""H",,,Grey,"pine, Wood",,[],,"[""DURABILITY: 3 spacious drawers with open finger pulls that can hold all the adorable baby clothes, blanket, and more. We've built this dresser with features like stronger drawer bottoms to make it sturdier and long-lasting "", ' VERSATILE DESIGN: Changing station now. Big kid dresser later! This dresser is designed so that you can add a DaVinci changing tray (#M0219) to use as a convenient changing station during the baby years ', ' SMOOTH GLIDE: Pre-installed euro glides that make opening the drawers easy even when your hands are full with baby ', ' QUALITY MATERIAL: Made of solid sustainable New Zealand pinewood and TSCA compliant engineered wood -only the best for your baby ', "" FOR YOUR BABY'S SAFETY: Say goodbye to toxic chemicals! Finished in a non-toxic multi-step painting process and lead and phthalate safe""]","The Carter’s Colby 3-Drawer Dresser features three spacious drawers with open finger pulls and a streamlined, modern look. Coordinates with the Carter’s Colby Crib and Colby 6-Drawer Dresser.","['Brand: DaVinci', 'Product Dimensions: 33.9""D x 18.1""W x 33.8""H', 'Color: Grey', 'Mounting Type: Freestanding', 'Room Type: Kids Room', 'Special Feature: Durable', 'Furniture Finish: Non-toxic Finish', 'Product Care Instructions: Wipe with Dry Cloth', 'Item Weight: 66 Pounds', 'Number of Pieces: 1', 'Item model number: F11923G', 'Material Type: pine, Wood', 'Additional product features: Durable', 'Number Of Items: 1', 'Batteries required: No', 'Item Weight: 66 pounds', 'Country/Region of origin: Vietnam', 'ASIN: B071DZG655', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 116 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #43,078 in Baby (See Top 100 in Baby) #101 in Chests & Dressers']",8da75933-cc9d-5eb9-bc3d-0d9f38f59e72,2024-02-02 18:56:44 +B0BR8NVGDL,https://www.amazon.com/dp/B0BR8NVGDL,Modway Baronet Button-Tufted Vegan Leather Parsons Dining Chair in Gray,Modway Store,,Usually ships within 2 to 3 days,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/31Um2-NPw3L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31Um2-NPw3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51mhf5WlHhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31qWY0EIoTL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41aTGygC1nL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31PNzIVVfAL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31SjYbx+pHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41bdQV1kmeL.SS125_SS522_.jpg']",,Modway,EEI-2234-GRY,"21""D x 25""W x 38.5""H",,China,Grey,Foam,Contemporary,[],,"['BUTTON TUFTED CHAIR - Introduce sophistication with tufted buttons and a timeless look. Baronet is an ideal choice around the dining table and a popular choice as an accent chair in the living room ', ' CONTEMPORARY STYLE - Boasting clean lines and a minimalist design, this dining side chair complements decor styles ranging from traditional to farmhouse to contemporary and modern ', ' COMFORTABLE CHAIR - This dining chair offers a premium seating experience with dense foam padding, vegan leather upholstery, and webbing and springs to prevent sagging ', ' SUPERIOR CONSTRUCTION - Perfect as a cute office chair, this upholstered chair comes supported by solid wood legs with non-marking foot caps to protect flooring from scratches ', ' DINING SIDE CHAIR - With a regal back and classic design, Baronet brings stylish splendor to your dining room. Chair Dimensions: 21""W x 26.5""D x 38.5""H; Maximum Weight Capacity: 500 lbs.']","Bestow splendor with the Baronet Dining Chair. Charm and elegance adorn this luxuriously button tufted dining chair complete with sleek curves and dignified form. Featuring dense foam padding, fine vegan leather upholstery, a solid wood and MDF frame, and non-marking foot glides, this updated Parsons chair is a stylish dining chair perfect for the dining room, living room, entryway, or home office.","['Brand: Modway', 'Color: Grey', 'Product Dimensions: 21""D x 25""W x 38.5""H', 'Size: Dining Chair', 'Back Style: Solid Back', 'Special Feature: Upholstered Leather', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Dining', 'Maximum Weight Recommendation: 500 Pounds', 'Style: Contemporary', 'Pattern: Solid', 'Room Type: Office, Living Room, Dining Room', 'Age Range (Description): Adult', 'Included Components: Cushion', 'Shape: Square', 'Model Name: Baronet', 'Surface Recommendation: Indoor', 'Form Factor: Upholstered', 'Furniture Finish: Leather', 'Fill Material: Foam', 'Item Weight: 22 pounds', 'Manufacturer: Modway', 'ASIN: B0BR8NVGDL', 'Country of Origin: China', 'Item model number: EEI-2234-GRY', 'Customer Reviews: 4.2 4.2 out of 5 stars \n 67 ratings \n\n\n 4.2 out of 5 stars', 'Best Sellers Rank: #1,399,621 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,281 in Kitchen & Dining Room Chairs', 'Refill: Foam', 'Assembly required: Yes', 'Warranty Description: One year warranty against manufacturer defects.', 'Batteries required: No']",d0ec7b35-f0f8-5b5c-8948-d6f98601c03b,2024-02-02 18:56:45 +B0BGL3QXKR,https://www.amazon.com/dp/B0BGL3QXKR,"MOOACE Small Side Table, Round End Table Nightstand with Charging Station, Storage Shelves, 2 Tier Sofa Coffee Beside Accent Table for Living Room, Bedroom, Brown",MOOACE Store,$43.99,Only 16 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Tables', 'End Tables']",https://m.media-amazon.com/images/I/419Yb6N5yyL._SS522_.jpg,"['https://m.media-amazon.com/images/I/419Yb6N5yyL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51tjf+v58cL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41vQFfq-xoL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511lpe3qKhL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4116EWxXoiL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21w5HjcX-fL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/A1Fgi9Iux4L.SS125_SS522_.jpg']",,,,"15""D x 15""W x 23.6""H",,,Brown,Wood,Modern,[],,"['Side Table with Charging Station: The bedside table is equipped with one AC outlet, 2 USB ports and 6.5ft long power supply cord. You can charge your phone, iPad, lamp, laptops at any time whenever you want. ', ' High Quality Material: The end table is assembled by wood shelves and metal frames, metal legs provide stable support. The legs of the round side table have a triangular structure which is very stable. ', ' Multiple Use: You need a storage shelf in your living room or bedroom, a coffee table or place a phone during your work, you can use it to placing books, coffee, alarm clock, plants, toys, lamps, photograph etc. ', ' Ideal Home Decor: This small side table has a elegant and fashionable appearance and matched with various home decoration styles , can be perfect as a decor. ', ' Easy to Assemble: Dimensions: 15”Dia. x 23.6”H (38 x 60 cm), with the simple structure and accessories, you can finish it by your hands within 5 minutes.']",,"['Brand: MOOACE', 'Shape: Round', 'Room Type: Bedroom', 'Color: Brown', 'Model Number: MOOACE', 'Customer Reviews: 4.4 4.4 out of 5 stars \n 33 ratings \n\n\n 4.4 out of 5 stars', 'Best Sellers Rank: #1,015,612 in Home & Kitchen (See Top 100 in Home & Kitchen) #3,735 in End Tables', 'Special Feature: Storage', 'Base Type: Leg', 'Indoor/Outdoor Usage: Indoor', 'Product Dimensions: 15""D x 15""W x 23.6""H', 'Item Width: 15 inches', 'Maximum Weight Recommendation: 50 Pounds', 'Number of Items: 1', 'Frame Material: Metal', 'Top Material Type: Wood', 'Style: Modern', 'Table design: End Table', 'Pattern: Solid', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly']",78713869-e5de-5ff9-91c5-8d4933be740c,2024-02-02 18:56:46 +B0CC4X9SS3,https://www.amazon.com/dp/B0CC4X9SS3,BYOOTIQUE Makeup Chair Folding Camping Stool Collapsible Seat Telescoping Stool Height Adjustable Round Vanity Stool Chair Portable Makeup Hairstylist Chair for Makeup Nail Artist Hair Stylist Travel,BYOOTIQUE Store,$39.90,In Stock,"['Home & Kitchen', 'Furniture', 'Bedroom Furniture', 'Vanities & Vanity Benches']",https://m.media-amazon.com/images/I/511N0PuE9EL._SS522_.jpg,"['https://m.media-amazon.com/images/I/511N0PuE9EL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/513Pw39L9XL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51xG9RtF8mL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61ufXH1oJZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51OyuVmWxML._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51+Qxc4tUwL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/512eo5hBF+L._SS522_.jpg']",,No,AW-MKC000198,9.8 x 9.8 x 17.7 inches,"July 18, 2023",China,,,,[],[],"['[Foldable & Portable]: 9 13/16"" x 9 13/16"" x 17 11/16"" Byootique Folding Camping Stool features a retractable design for easy folding into a 10"" x 3"" disc and weighs only 1.76 Lbs for portability, supporting space-saving storage in your backpack or luggage; Equipped with an adjustable strap for hand carrying and shoulder carrying for camping and travelling ', ' [Adjustable Height]: Features 12-level adjustable height ranging from 2 9/16"" to 17 11/16"" for catering to adults and kids of different heights, easy to adjust by stretching out the stool and rotating the top and the bottom until the nodes are engaged with the corresponding holes to lock it at your desire height ', ' [Stable & Safe]: Features a special fish scale frame with clasps for providing a tightened and stable structure; Equipped with non-slip stool feet on the bottom for increasing friction and stability, preventing slipping when using on different surfaces such as grassland, cement, wood and tile floor ', ' [Durable & Sturdy]: Made of high strength engineering plastic for providing durability and sturdiness for daily frequent use, it offers a large load capacity up to 275 Lbs, suitable for people of different sizes to sit comfortably; Being RoHS certified, it ensures high quality and safety ', ' [Wide Application]: Perfect for both outdoor and indoor multipurpose uses, such as camping, fishing, hiking, BBQ, travel and other outdoor activities; It also can be used as a manicure stool in beauty salon or a step stool for helping you to reach high cabinets and shelves in bathroom, kitchen, bedroom, etc.']",,"['Product Dimensions: 9.8 x 9.8 x 17.7 inches', 'Item Weight: 2 pounds', 'Manufacturer: Byootique', 'ASIN: B0CC4X9SS3', 'Country of Origin: China', 'Item model number: AW-MKC000198', 'Best Sellers Rank: #1,192,482 in Home & Kitchen (See Top 100 in Home & Kitchen) #995 in Vanities & Vanity Benches', 'Is Discontinued By Manufacturer: No', 'Date First Available: July 18, 2023']",af8b3e99-045c-5075-9335-ac6257cbf2db,2024-02-02 18:56:47 +B0CLC3XWR6,https://www.amazon.com/dp/B0CLC3XWR6,"nimboo Kids Couch - Modular Kids Play Couch Set, Kids Sofa, Toddler Couch, Toddler Sofa, Kid Couch, Foam Playroom Couch for Kids",nimboo Store,$99.95,In Stock,"['Home & Kitchen', 'Furniture', ""Kids' Furniture"", 'Sofas']",https://m.media-amazon.com/images/I/51He1KLeOsL._SS522_.jpg,"['https://m.media-amazon.com/images/I/51He1KLeOsL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51UflB4QcHL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51soel-hueL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51lISZDDupL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/5109gAsmLOL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/511moWsyKVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/C112iYea36L.SS125_SS522_.png']",850056111362,nimboo,,"20""D x 39""W x 16""H","January 25, 2024",,Rainbow Unicorn,High Density Comfort Foam,,[],,"[""UNLEASH IMAGINATION WITH VERSATILITY - Watch as your children's creativity takes center stage with our sectional kids modular couch. Today, it's a fortress standing tall against imaginary foes; tomorrow, it's the royal seating for audience members at a puppet show. This kids couch play set is a playground for the mind, fostering innovation with each cushion's flip and fold "", "" DIVE INTO A COSMOS OF COMFORT - Our kid couch hides a secret, a whimsical glow-in-the-dark futon pattern to enchant your little ones. This kids sofa doesn't just brighten the room; it lights up imaginations, making bedtime the most awaited time in a kids couch for playroom that becomes a nighttime sanctuary "", "" HASSLE-FREE CLEANING FOR ENDLESS FUN - Say goodbye to the worry of stains on the couch for kids, thanks to our removable washable cover. It's a lifesaver for parents and a time-saver in busy households. Our kids sofa promises to keep the play area hygienic, inviting, and always ready for the next day's play, storytime, or nap "", ' A COMFY CORNER FOR YOUNG READERS - Every buildable kid sofa is a potential story corner, but ours comes with its very own library compartment—a side pocket that beckons young readers to explore. Stock it with their favorite tales and watch as your toddler play couch becomes the heart of their literary world, fostering a love for reading in the most cozy nook of the house ', "" A CUSHIONED EMPIRE FOR LITTLE ADVENTURERS - Our convertible kids modular couch is where every cushion invites a cuddle and every setup sparks a new adventure. It's not just a climbing kids couch for playroom; it's a sleeper haven for kids chairs comfy toddler lounger times. Here, a child finds the perfect backdrop for every giggle, whisper, and dream—a place where they can be kings and queens in their own little empire""]",,"['Brand: nimboo', 'Manufacturer: nimboo', 'ASIN: B0CLC3XWR6', 'UPC: 850056111362', 'Customer Reviews: 4.8 4.8 out of 5 stars \n 47 ratings \n\n\n 4.8 out of 5 stars', ""Best Sellers Rank: #164,951 in Home & Kitchen (See Top 100 in Home & Kitchen) #68 in Kids' Sofas"", 'Date First Available: January 25, 2024', 'Age Range (Description): Kids & Toddlers', 'Material: High Density Comfort Foam', 'Fill Material: High Density Comfort Foam', 'Product Care Instructions: Avoid ironing. Wash the covers in a machine using cold or lukewarm water on a delicate cycle. Use a low setting for tumble drying.', 'Assembly Required: No', 'Assembly Instructions: Already Assembled', 'Safety Warning: maintain adult supervision during its usage.', 'Certificate Type: CPSC certified, CPSIA certified', 'Product Dimensions: 20""D x 39""W x 16""H', 'Size: 2-Seater', 'Item Weight: 13.6 Pounds', 'Seating Capacity: 2.00', 'Weight Limit: 200 Pounds', 'Seat Depth: 20 inches', 'Seat Height: 11 Inches', 'Seat Back Interior Height: 16 Inches', 'Item Package Quantity: 1', 'Type: Convertible', 'Color: Rainbow Unicorn', 'Pattern: Unicorn', 'Theme: Rainbow Unicorn', 'Room Type: Kids Room, Living Room, Classroom, Playroom, Nursery', 'Shape: Rectangular', 'Special Feature: Modular, Removeable Cover, Washable Cover, Glow In The Dark, Folding']",ee91361a-5882-5bd8-9d08-0da8c1863bd8,2024-02-02 18:56:47 +B0BVT748HV,https://www.amazon.com/dp/B0BVT748HV,"LOKKHAN Industrial Bar Table 38.6""-48.4"" Height Adjustable Swivel Round Wood Tabletop 23.7"" Dia, Kitchen Dining Office Coffee Bistro Pub Table",LOKKHAN Store,$126.40,In Stock,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Tables']",https://m.media-amazon.com/images/I/31uVNZMOnXL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31uVNZMOnXL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41A3uwNuFDL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31asr5bWazL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31r93wDQo+L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41BvnaLFfxL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51QSBtjvVzL.SS125_SS522_.jpg']",,,,"23.6""D x 23.6""W x 38""H",,,Copper,"Wood Tabletop,Wooden Tabletop",,[],,"['VINTAGE & INDUSTRIAL STYLE-Smooth coppery steel body, and a sturdy, solid standing base reflects the design aesthetics of industrial machinery;Brown wooden tabletop with natural wood grain, bringing a strong feeling of vintage style. This table is perfect for home use, as well as bar, coffee shop, or restaurant usage with its stylish design and durability it can easily fit into any decor and last for years to come. ', ' EASY HEIGHT ADJUSTMENT - effortlessly rotate the tabletop to smoothly adjust the table height from 38.6"" to 44.4"",transform a kitchen table to a high bar table by an easy operation! ', ' SWIVEL TABLE - Swivel tabletop provides you an easy access to the drinks, snack or coffee, perfect for bars, pubs, parties, etc. ', ' with ring footrest functions to reduce the pressure on your feet,provides a comfortable environment for guests! ', ' HIGH QUALITY & PERFECT DESIGN - Crafted from solid pine wood and strong metal. ', ' Smooth curved corner round edge of the desktop, more secure and practical. ', ' Powder coating craft protect pub table from rust; ', ' Feet are fitted with adjustable foot plug to avoid scratching the floor and adjust the height to suit the situation. ', ' Dimension- Size of Wood (Approx.):23.63 Inch x 1.2 Inch(Dia.xThickness)；Adjustable Height:from 38.6 Inch to 44.4 Inch；Width of Base:21.66 Inch.']","Industrial Adjustable Round Tabletop Pub Table-38.6-48.4 Inches Tall Bar Table-360° Swivel Pine Top (23.7"" Dia/ Brown Pine Wood)DESPRIPTIONS①This round bar table can be used as a bar table or dinner table for 2-3 people.②It features with 360° swivel design and adjustable height from counter height to bar height for extra comfort.③Sleek pine tabletop is easy for cleaning. It is perfect no matter for pubs, bars, cafe or for restaurants.SPECIFICATIONSColor:coppery brown / brown Material:steel / pine Tabletop Dimensions: 23.7"" W x 23.7"" DHeight adjustment: 38.6” to 48.4” HBase Dimensions (footprint): 23.6” W x 23.6” DFEATURES:☞Premium Quality: Solid Pine Tabletop & strong, heavy duty steel base☞Widely Used: as pub table, bar table, bistro table, cocktail table & pedestal table☞Adjustable Height: from counter height to bar height☞360° SWIVEL TABLE TOP: Swivel table top allows you to easily get drinks, snacks or coffee,perfect for bars, pubs, parties, etc.☞Easy Assembly: assembly required, with instructions enclosed☞Easy Cleaning: just use a damp cloth.FEATURES: ①Fire Hydrant Design, the rustic industrial stylish adds raw sophistication to any space. ②Solid wooden tabletop features a polished finish with an anti-scratch weathered look. ③Durable, rust-resistant metal frame for extra sturdy and stable support. ④Industrial steel is powder coated in COPPER for a stylish look and feel. ⑤Perfect standing table for bar, coffee shop, or restaurant settings.","['Brand: LOKKHAN', 'Shape: Round', 'Seating Capacity: 3', 'Room Type: kitchen,dining room,home office,bar,pub,bistro,cafe', 'Included Components: Assembly Guide, Installation Tools', 'Color: Copper', 'Finish Type: wooden grain, Powder Coated, Polished', 'Furniture Finish: Pine, Alloy Steel', 'Model Name: DS-13-TB-copper030', 'Model Number: DS-13-TB-copper030', 'Customer Reviews: 4.7 4.7 out of 5 stars \n 13 ratings \n\n\n 4.7 out of 5 stars', 'Best Sellers Rank: #129,933 in Home & Kitchen (See Top 100 in Home & Kitchen) #34 in Kitchen & Dining Room Tables', 'Assembly Required: Yes', 'Assembly Instructions: Require Assembly', 'Product Dimensions: 23.6""D x 23.6""W x 38""H', 'Item Width: 23.6 inches', 'Tabletop Thickness: 1.2 Inches', 'Size: 23.62"" Dia', 'Item Weight: 36 Pounds', 'Number of Items: 1', 'Frame Material: Metal', 'Top Material Type: Wood Tabletop,Wooden Tabletop', 'Special Feature: Storage', 'Base Type: Pedestal', 'Indoor/Outdoor Usage: Indoor', 'Pattern: Solid']",0db5b842-14ad-5c09-a607-f138120e1e78,2024-02-02 18:56:48 +B0CF9F4TQD,https://www.amazon.com/dp/B0CF9F4TQD,"UTONE Gaming Chair Computer Chair Breathable Fabric Office Chair Cloth with Backrest Desk Chair with Footrest, Lumbar Support Swivel Recliner Task Chair Ergonomic Video Game Chair Height Adjustable",UTONE,$199.99,Only 9 left in stock - order soon.,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Gaming Chairs', 'Video Game Chairs']",https://m.media-amazon.com/images/I/31dCSKQ14YL._SS522_.jpg,"['https://m.media-amazon.com/images/I/31dCSKQ14YL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51NBgDDsojL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41cYG4BP8aL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41S1bbWncZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41ApaduBVNL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41rVpNncGZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51hdEu+eJSL.SS125_SS522_.jpg']",,UTONE,,"17""D x 17""W x 57""H","September 27, 2023",,Pink,Textile,Solid Back,[],"[{'Brand': ' UTONE '}, {'Color': ' Pink '}, {'Material': ' Textile '}, {'Product Dimensions': ' 17""D x 17""W x 57""H '}, {'Back Style': ' Solid Back '}]","['★★★★★\xa0Durable breathable fabric----Our gaming chair surface material is made of breathable premium cloth fabric, it’s more soft, skin friendly and nice heat dissipation, it will not produce scratches over time and no embarrassing noise when sitting down. ', ' ★★★★★\xa0Suitable for multi-place----This seat cushion of our chair is High density natural shaped sponge. and comfort like sofa. The chair with 360° Swivel, you can move without restraint. and chair back can be reclined freely you need. You can gaming, working, napping, reading. So you can use for game room, office, living room, study room. The chair is understated color combination make it easy to match to the interior decor. Delicate fabrics complement office and home furnishing. ', ' ★★★★★\xa0More leisure and relaxing----The gaming chair is designed according to the ergonomic, the seat cushion consists of a soft and thick, high-density sponge filling to avoid pain when seated. When you feel tired for sitting from job, the headrest and lumbar pillow will help you relieve your fatigue. you can also pull out footrest and adjust the back of the chair, then Lie down in the chair to relax yourself with music. Enjoying the moment! ', ' ★★★★★\xa0Easy assembly&installation----Each product of the gaming chair comes with five super mute wheels that rotate 360°and slide smoothly across different floors. The package include a detailed assembly instruction manual and assembly tools so you can assemble the chair yourself, please feel free to contact us if you encounter any difficulties in installing this video gaming chair. ', ' ★★★★★\xa0Worry-Free after sales service----CUSTOMER SATISFACTION & QUALITY WORK are our top priorities. If you have any problems after receiving the package, please feel free to contact us.If you are not satisfied with your purchase at any point and for any reason, you can return it with no questions asked. No need to send back the product.']",,"['Brand: UTONE', 'Color: Pink', 'Material: Textile', 'Product Dimensions: 17""D x 17""W x 57""H', 'Back Style: Solid Back', 'Special Feature: Ergonomic, Rolling, Cushion Availability', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Reading, Gaming', 'Pattern: Solid', 'Finish Type: Brushed', 'Included Components: User Manual', 'Surface Recommendation: Hard Floor', 'Form Factor: Recliner', 'Item Weight: 45.2 pounds', 'Manufacturer: UTONE', 'ASIN: B0CF9F4TQD', 'Customer Reviews: 3.8 3.8 out of 5 stars \n 25 ratings \n\n\n 3.8 out of 5 stars', 'Best Sellers Rank: #97,079 in Home & Kitchen (See Top 100 in Home & Kitchen) #57 in Video Game Chairs', 'Date First Available: September 27, 2023']",6259d40c-b254-5fac-aacc-f0c7b0caad7f,2024-02-02 18:56:49 +B08SLPBC36,https://www.amazon.com/dp/B08SLPBC36,"Lexicon Victoria Saddle Wood Bar Stools (Set of 2), 28.5"" SH, Black Sand",Lexicon,$58.99,Only 7 left in stock (more on the way).,"['Home & Kitchen', 'Furniture', 'Game & Recreation Room Furniture', 'Home Bar Furniture', 'Barstools']",https://m.media-amazon.com/images/I/41CPL03Y-WL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41CPL03Y-WL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51LFRvcsttL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/4101O0xLwUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/21lxU4Ez5PL._SS522_.jpg']",,Homelegance,194840111214,"18""D x 15.5""W x 29""H",,Malaysia,Black Sand,Wood,Contemporary,[],,"['Frame Material: Wood ', ' Set includes two (2) contemporary bar stools ', ' Black sand finish over solid rubber wood frame ', ' Contoured seat ', ' Built-in footrest ', ' Assembly required']","With a country flair and a deep black sand finish, this set of two rustic wood barstools features a 29-inch high contoured seat and footrests for ultimate support. Add these contemporary barstools to your modern farmhouse style kitchen or dining space for a casual and comfortable look.","['Product Dimensions: 18""D x 15.5""W x 29""H', 'Color: Black Sand', 'Brand: Lexicon', 'Size: 28.5""SH', 'Style: Contemporary', 'Furniture Finish: Black', 'Seat Height: 28.5 Inches', 'Seat Width: 16.5 Inches', 'Maximum Weight Recommendation: 250 Pounds', 'Product Care Instructions: Wipe with Damp Cloth', 'Assembly Required: Yes', 'Number of Pieces: 2', 'Item Weight: 24.5 pounds', 'Manufacturer: Homelegance', 'ASIN: B08SLPBC36', 'Country of Origin: Malaysia', 'Item model number: 194840111214', 'Customer Reviews: 4.3 4.3 out of 5 stars \n 116 ratings \n\n\n 4.3 out of 5 stars', 'Best Sellers Rank: #432,737 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,895 in Barstools', 'Fabric Type: Frame Material: Wood', 'Batteries required: No', 'Included Components: Bar Stool']",d3b681ac-6195-5c9b-8125-98b6425829f4,2024-02-02 18:56:50 +B09KN5ZTXC,https://www.amazon.com/dp/B09KN5ZTXC,ANZORG Behind Door Hanging Kids Shoes Organizer Closet Shoe Organizer Shoe Rack with 12 Mesh Pockets (12 Pockets),ANZORG Store,$9.99,Only 14 left in stock - order soon.,"['Home & Kitchen', 'Storage & Organization', 'Clothing & Closet Storage', 'Shoe Organizers', 'Over the Door Shoe Organizers']",https://m.media-amazon.com/images/I/31qQ2tZPv-L._SS522_.jpg,"['https://m.media-amazon.com/images/I/31qQ2tZPv-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41596wVkdbL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51R90y04mkL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41Y0Y9yrrZL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51b9JGc-yeL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41LtN4dL16L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51TT8duZ-OL.SS125_SS522_.png']",,ANZORG,,"2""D x 12.6""W x 61""H","October 29, 2021",,12 Pockets,Non Woven Fabric,,[],,"['Non Woven Fabric ', "" Hanging organizer with multiple usages as door shoe rack for adults' and children's shoes and over the door pantry organizer for toiletries, clean supplies, laundry items, snacks, hats and gloves and other useful tiny accessories. Can organize everything you like. "", ' 12 Mesh pockets organizer with 8.3"" D x 5.9"" W inch for each slot. Roomy enough to put two sandals or slippers in one pocket. Good visual on all things, you can find items at a glance. ', ' Shoes holder with dimension 61"" L x 12.6"" W inch, suit for most doors in your home, such as bedroom doors, bathroom doors, wardrobe doors, pantry doors, etc. ', ' Hanging shoe organizer comes with 2 strong and sturdy hooks that fit standard door. Convenience and save space, it is foldable to be kept when not used, suitable for limited space. ', ' Shoes organizer back fabric is made of 90G breathable thicken non woven fabric, pockets are made of strong nylon mesh. Super sturdy and durable.']",,"['Specific Uses For Product: 鞋子', 'Material: Non Woven Fabric', 'Special Feature: Foldable', 'Color: 12 Pockets', 'Brand: ANZORG', 'Product Dimensions: 2""D x 12.6""W x 61""H', 'Number of Compartments: 12', 'Number of Items: 1', 'Manufacturer: ANZORG', 'Item Weight: 5.6 ounces', 'Special Features: Foldable', 'Included Components: 2 Hooks', 'Batteries Included?: No', 'Batteries Required?: No', 'ASIN: B09KN2BHYM', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 131 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #253,180 in Home & Kitchen (See Top 100 in Home & Kitchen) #94 in Over the Door Shoe Organizers', 'Date First Available: October 29, 2021']",07e5e60e-953d-5512-aab8-cf83193de252,2024-02-02 18:56:51 +B0BN7T57NK,https://www.amazon.com/dp/B0BN7T57NK,"Pipishell Full-Motion TV Wall Mount for Most 37–75 Inch TVs up to 100 lbs, Wall Mount TV Bracket with Dual Articulating Arms, Extension, Swivel, Tilt, Fits 16"" Wood Studs, 600 x 400mm Max VESA, PILF8",Pipishell Store,$35.99,In Stock,"['Electronics', 'Television & Video', 'Accessories', 'TV Mounts, Stands & Turntables', 'TV Wall & Ceiling Mounts']",https://m.media-amazon.com/images/I/41TkLI3K2-L._SS522_.jpg,"['https://m.media-amazon.com/images/I/41TkLI3K2-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51pn7+ZcO6L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/51V323eC4lL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41+ktgYVmVL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/411YmHAyn-L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41uXxliTZCL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/81bqfSbNfxL.SS40_SS522_.png']",,,PILF8,17.32 x 9.33 x 3.11 inches,"November 24, 2022",China,Black,,,[],"[{'Mounting Type': "" Wall Mount for 16'' Wood Stud / Brick / Concrete ""}, {'Movement Type': ' Full Motion/Articulating/Swivel/Tilt/Level '}, {'Brand': ' Pipishell '}, {'Material': ' Alloy Steel '}, {'TV Size': ' 75 Inches '}, {'Color': ' Black '}, {'Minimum Compatible Size': ' 37 Inches '}, {'Compatible Devices': ' Television '}, {'Maximum Tilt Angle': ' 5 Degrees '}]","['Solid & Stable Support: This swivel wall mount tv bracket is made of heavy-duty steel with thicker articulating arms to hold TVs weighing up to 100 lbs without wobbling. The enhanced wall plate, security screws, and anti-drop end caps ensure maximum stability. ', ' Full-Motion Movement: The Pipishell flat screen TV mount features smooth +/-45° swivel for the perfect viewing angle, +5°/-15° tilt to reduce glare, and +/-3° leveling after installation. Enjoy full-motion flexibility with this wall mount for a better viewing experience. ', "" Wide Compatibility: With VESA pattern compatibility from 200 x 100mm to 600 x 400mm, the Pipishell swivel TV wall mount supports most 37″ to 75″ flat or curved TVs weighing up to 100 lbs. It’s compatible with 16″ Max wood studs, concrete, and brick walls. Doesn't fit your wood stud spacing? Please search for Pipishell PILFK1-24 TV wall mount to install in 24″ Max wood studs. "", ' Easy 3-Step Installation: Instruction manual, mounting hardware, and drilling template are included with the swivel TV mount to make installation a breeze in 16″ wood studs, concrete, or brick. Simply attach the TV brackets, mount the wall plate, and then hang your TV. ', ' Bring Your TV Closer: The full-motion TV bracket smoothly extends to 15.4″ to bring your TV closer and retracts back to 3.2″ from the wall to save space. The swivel TV wall mount includes hook & loop fasteners to help route cables along the arms for a neater look.']",,"['Brand Name: Pipishell', 'Item Weight: 10.83 pounds', 'Product Dimensions: 17.32 x 9.33 x 3.11 inches', 'Country of Origin: China', 'Item model number: PILF8', 'Color Name: Black', 'ASIN: B0BN7T57NK', 'Customer Reviews: 4.6 4.6 out of 5 stars \n 337 ratings \n\n\n 4.6 out of 5 stars', 'Best Sellers Rank: #4,904 in Electronics (See Top 100 in Electronics) #148 in TV Wall & Ceiling Mounts', 'Date First Available: November 24, 2022']",cb66eee5-7113-5568-9713-9e08e2b48a26,2024-02-02 18:56:52 +B097FC9C27,https://www.amazon.com/dp/B097FC9C27,"Noori Rug Home - Lux Collection Modern Ava Round Ivory Velvet Storage Ottoman - 13x13x15 - Livingroom,Bedroom, Kid's Room, Nursery, Medium",NOORI RUG,$67.60,In Stock,"['Home & Kitchen', 'Furniture', 'Living Room Furniture', 'Ottomans']",https://m.media-amazon.com/images/I/21Uq9uJEE5L._SS522_.jpg,"['https://m.media-amazon.com/images/I/21Uq9uJEE5L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/414BM7g5g3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31CHH0vn6SL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/318mEfT8l3L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31i3RzOwNrL._SS522_.jpg']",,Noori Rug,L025,"13""D x 13""W x 15""H",,China,Ivory/Gold Ava,Engineered Wood,Glam,[],,"['Velvet ', ' Both functional and decorative, this storage stool will be a gorgeous piece for your home. The metallic gold trim in the middle adds a fancy touch to this neutral storage piece. Use as a comfortable footrest, stylish side table, or decorative accent to elevate your interior design! ', ' Material: Made from premium quality breathable velvet ', ' Suitable as a footstool, shoe stool, storage cabinet, or makeup chair ', ' Package Weight: 11.0 pounds']","Both functional and decorative, this storage stool will be a gorgeous piece for your home. The metallic gold trim in the middle adds a fancy touch to this neutral storage piece. Use as a comfortable footrest, stylish side table, or decorative accent to elevate your interior design!","['Product Dimensions: 13""D x 13""W x 15""H', 'Color: Ivory/Gold Ava', 'Brand: Noori Rug', 'Fabric Type: Velvet', 'Base Material: WOOD,METAL', 'Frame Material: Engineered Wood', 'Product Care Instructions: Hand Wash Only', 'Maximum Weight Recommendation: 250 Pounds', 'Assembly Required: No', 'Size: Medium', 'Style: Glam', 'Item Weight: 11 pounds', 'Manufacturer: Noori Rug', 'ASIN: B097FC9C27', 'Country of Origin: China', 'Item model number: L025', 'Customer Reviews: 4.5 4.5 out of 5 stars \n 13 ratings \n\n\n 4.5 out of 5 stars', 'Best Sellers Rank: #1,188,928 in Home & Kitchen (See Top 100 in Home & Kitchen) #1,683 in Ottomans', 'Refill: Foam', 'Batteries required: No', 'Included Components: Storage Ottoman']",0a3805a8-8249-55e1-a9de-ccf6c602f167,2024-02-02 18:56:53 +B00SMM4H98,https://www.amazon.com/dp/B00SMM4H98,Modway Parcel Upholstered Fabric Parsons Dining Side Chair in Beige,Modway Store,,,"['Home & Kitchen', 'Furniture', 'Dining Room Furniture', 'Chairs']",https://m.media-amazon.com/images/I/41f8WNXejUL._SS522_.jpg,"['https://m.media-amazon.com/images/I/41f8WNXejUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61pIlRUKI1L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31bNJhGd39L._SS522_.jpg ', ' https://m.media-amazon.com/images/I/41f8WNXejUL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/31kArMYVbpL._SS522_.jpg ', ' https://m.media-amazon.com/images/I/61kTQp4wmHL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/I/61D0EAMXFsL.SS125_SS522_.jpg ', ' https://m.media-amazon.com/images/G/01/HIT/ImageBlockDimension/dimensions_SS522_.png']",,No,EEI-1384-BEI,"24""D x 18.5""W x 39.5""H",,,Beige,Foam,Modern,[],,"['CHIC DETAIL - Introduce sophistication with exquisite nailhead trim and a timeless look. Parcel is the perfect choice for hosting elegant dinners. Also popular in living rooms as an accent chair. ', ' CONTEMPORARY STYLE - Boasting sweeping lines and a minimalist design, Parcel features soft polyester upholstery and wood legs with non-marking foot caps. Complement a variety of dining decors. ', ' SUPPORTIVE COMFORT - A preferred choice for the dining room, Parcel is densely padded with foam to offer a supportive, comfortable seat to rest on while eating, chatting, working or reading a book. ', ' SUPERIOR CONSTRUCTION - Incorporating graceful charm around your dining table, Parcel is expertly constructed and supported by strong tapered rubberwood legs that accentuate the progressive look. ', ' MODERN DESK CHAIR - Encouraging purpose wherever it sits, the minimal, thoughtful design of Parcel makes it a stunning addition to your office as a desk chair or the living room as an accent piece.']","Wrap up moments of quality seating with the Parcel dining chair. Finely upholstered in polyester with a nail-head trim, Parcel delivers a concise offering that enhances the dining experience in a subtle and unassuming way. Padded with dense foam and solid stained wood legs, Parcel also comes fully assembled.","['Brand: Modway', 'Color: Beige', 'Product Dimensions: 24""D x 18.5""W x 39.5""H', 'Size: Dining Chair', 'Back Style: Solid Back', 'Special Feature: Upholstered Leather', 'Unit Count: 1.0 Count', 'Recommended Uses For Product: Dining,Living Rooms', 'Style: Modern', 'Pattern: Solid', 'Finish Type: beige', 'Room Type: Office, Living Room, Dining Room', 'Age Range (Description): Adult', 'Included Components: Assembly Manual', 'Model Name: MO-EEI-1384-BEI', 'Surface Recommendation: Indoor', 'Form Factor: Upholstered', 'Furniture Finish: Rubberwood', 'Seat Height: 19.5 Inches', 'Fill Material: Foam', 'Is Customizable: No', 'Item Weight: 16 pounds', 'Department: Unisex', 'Manufacturer: Modway Inc.', 'ASIN: B00SMM4H98', 'Item model number: EEI-1384-BEI', 'Customer Reviews: 3.7 3.7 out of 5 stars \n 119 ratings \n\n\n 3.7 out of 5 stars', 'Best Sellers Rank: #1,667,554 in Home & Kitchen (See Top 100 in Home & Kitchen) #2,650 in Kitchen & Dining Room Chairs', 'Is Discontinued By Manufacturer: No', 'Refill: Foam', 'Finish types: beige', 'Assembly required: No', 'Number of pieces: 1', 'Warranty Description: One year warranty against manufacturer defects.', 'Batteries required: No']",ca0aa529-6ef0-56d0-81a7-042becdefd4d,2024-02-02 18:56:53 diff --git a/examples/data/items_tagged_and_captioned.csv b/examples/data/items_tagged_and_captioned.csv new file mode 100644 index 0000000..9e0ed14 --- /dev/null +++ b/examples/data/items_tagged_and_captioned.csv @@ -0,0 +1,373 @@ +title,primary_image,style,material,color,url,keywords,img_description,caption +"GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Metal Shoe Cap Rack With 8 Double Hooks For Living Room, Bathroom, Hallway",https://m.media-amazon.com/images/I/416WaLx10jL._SS522_.jpg,Modern,Metal,White,https://www.amazon.com/dp/B0CJHKVG6P,"['shoe rack', 'free standing', 'multi-layer', 'metal', 'with hooks', 'white']","This is a free-standing shoe rack featuring a multi-layer design, constructed from metal for durability. The rack has a sleek white finish that gives it a clean, modern look, suitable for various home decors. It includes multiple tiers dedicated to shoe storage, allowing for an organized display of footwear. Additionally, the rack is equipped with 8 double hooks, providing ample space for hanging items such as hats, scarves, and bags. This functional piece is versatile enough to be used in a living room, bathroom, or hallway, offering both storage and hanging solutions in a compact form.","White metal free-standing shoe rack with multiple tiers for shoes and 8 double hooks for accessories, suitable for various home settings." +"subrtex Leather ding Room, Dining Chairs Set of 2, Black",https://m.media-amazon.com/images/I/31SejUEWY7L._SS522_.jpg,Black Rubber Wood,Sponge,Black,https://www.amazon.com/dp/B0B66QHB23,"['dining chairs', 'set of 2', 'leather', 'black']","This image features a set of two black dining chairs. The chairs are upholstered in a leather-like material, giving them a sleek and sophisticated appearance. They have a high back design with subtle stitching details that create vertical lines, adding to their elegance. The legs of the chairs are straight and also finished in black, which complements the overall design. These chairs would be suitable for a modern or contemporary dining room setting.",Set of 2 sleek black faux leather dining chairs with vertical stitching details. +"Plant Repotting Mat MUYETOL Waterproof Transplanting Mat Indoor 26.8"" x 26.8"" Portable Square Foldable Easy to Clean Gardening Work Mat Soil Changing Mat Succulent Plant Transplanting Mat Garden Gifts",https://m.media-amazon.com/images/I/41RgefVq70L._SS522_.jpg,Modern,Polyethylene,Green,https://www.amazon.com/dp/B0BXRTWLYK,"['plant repotting mat', 'waterproof', 'portable', 'foldable', 'easy to clean', 'gardening work mat', 'soil changing mat', 'succulent transplanting mat', 'green']","This is a square plant repotting mat designed for indoor gardening tasks such as transplanting or changing soil for plants. It measures 26.8 inches by 26.8 inches, providing ample space for gardening activities. The mat is made from a waterproof material in a vibrant green color, which helps to contain soil and water spills, making the cleanup process easier. The edges of the mat are raised with built-in corner loops, which can be used to secure the mat in a folded position or to hang it for storage. The mat's surface is smooth, facilitating easy cleaning. This mat is a practical accessory for gardening enthusiasts, providing a convenient and tidy workspace for handling plants, especially succulents. It's also portable, allowing gardeners to fold it up and take it with them as needed, and it can serve as a thoughtful gift for those who enjoy gardening.",Waterproof green square plant repotting mat +"Pickleball Doormat, Welcome Doormat Absorbent Non-Slip Floor Mat Bathroom Mat 16x24",https://m.media-amazon.com/images/I/61vz1IglerL._SS522_.jpg,Modern,Rubber,A5589,https://www.amazon.com/dp/B0C1MRB2M8,"['doormat', 'absorbent', 'non-slip', 'brown']","This is a rectangular doormat featuring a playful design, ideal for pickleball enthusiasts. The mat has a natural coir fiber construction, known for its durability and excellent scraping properties to remove dirt and debris from shoes. The background color is the natural brown of coir, providing a rustic and welcoming look. + +The doormat is adorned with the phrase ""it's a good day to play PICKLEBALL"" in bold, black lettering, which stands out against the coir material for easy readability. Below the text, there is a graphic of two pickleball paddles crossed over a pickleball, adding a thematic touch to the design. + +Measuring approximately 16x24 inches, this doormat is a suitable size for most entryways. It is described as absorbent, which suggests it can help in keeping moisture from shoes from entering the home. The non-slip feature implies that the mat has a backing that prevents it from sliding around, providing safety and stability on various floor surfaces. It is also mentioned as a floor mat for the bathroom, indicating it could be versatile for indoor use as well.",Pickleball-themed coir doormat with playful design +"JOIN IRON Foldable TV Trays for Eating Set of 4 with Stand,Folding TV/Snack Tray Table Set,Folding TV Dinner Tables for Small Space,(Grey)",https://m.media-amazon.com/images/I/41p4d4VJnNL._SS522_.jpg,X Classic Style,Iron,Grey Set of 4,https://www.amazon.com/dp/B0CG1N9QRC,"['tv tray table set', 'foldable', 'iron', 'grey']","This image showcases a set of two foldable TV trays, which are part of a set of four. The trays are designed for eating or as snack tables and are ideal for small spaces due to their foldable nature. Each tray features a grey wood grain finish on the tabletop, providing a modern and neutral aesthetic that can complement various interior decor styles. The frames and legs of the trays are made of black iron, offering sturdy support and a sleek contrast to the grey tabletops. The X-shaped leg design allows for easy folding and storage, and the overall minimalist design ensures that the trays can be conveniently tucked away when not in use. The set includes a matching stand to keep the trays organized and accessible.","Set of two foldable TV trays with grey wood grain finish and black iron legs, including a matching stand for easy storage." +"LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Storage Cabinet with 3-Drawers on The Left, Suitable for Bathrooms, Kitchens, Laundry Rooms and Other Places.",https://m.media-amazon.com/images/I/41zMuj2wvvL._SS522_.jpg,"Soft-closing Switch, Soft-closing Switch",Wood,Cameo Scotch,https://www.amazon.com/dp/B0C9WYYFLB,"['bathroom vanity', 'sink base cabinet', 'storage', '3-drawers', 'wood', 'brown']","This is a LOVMOR 30-inch bathroom vanity sink base cabinet featuring a rich, wood-toned finish. The cabinet is designed with three drawers on the left side, providing ample storage space for bathroom essentials, personal items, or cleaning supplies. The drawers appear to have recessed panel fronts and sleek handles, which contribute to the cabinet's classic and elegant look. The right side of the cabinet has a large door, likely concealing additional storage space. This versatile cabinet is not only suitable for bathrooms but can also be used in kitchens, laundry rooms, and other areas of the home where extra storage is needed. The overall design suggests a traditional style that would complement a variety of interior decors.",Traditional LOVMOR 30-inch bathroom vanity sink base cabinet with a rich wood finish and ample storage. +"Folews Bathroom Organizer Over The Toilet Storage, 4-Tier Bathroom Shelves Over Toilet Shelf Above Toilet Storage Rack Freestanding Bathroom Space Saver Adjustable Shelves and Baskets, Black",https://m.media-amazon.com/images/I/41ixgM73DgL._SS522_.jpg,Classic,,,https://www.amazon.com/dp/B09NZY3R1T,"['over-the-toilet storage', '4-tier', 'adjustable shelves', 'freestanding', 'bathroom space saver', 'metal', 'black']","This is a 4-tier bathroom organizer designed to fit over a standard toilet, providing a space-saving storage solution. The unit features a sturdy metal frame with a black finish that offers both durability and a sleek, modern aesthetic. The organizer includes four shelves, with the two upper shelves being flat and ideal for storing items such as towels, toiletries, or decorative objects. The third shelf includes a woven basket, adding a touch of rustic charm and providing a convenient spot for smaller items that might otherwise fall through a wire shelf. The bottom shelf is also flat and can be used for additional storage. + +The design of this over-the-toilet storage rack is freestanding, meaning it does not require wall mounting, which makes it a versatile choice for renters or those who prefer not to drill into walls. The shelves are adjustable, allowing for customization based on the height of the items being stored. This feature also makes it easy to accommodate taller items if necessary. The overall structure is designed to maximize the use of vertical space in a bathroom, making it a practical addition for organizing and decluttering.","Modern 4-tier black metal bathroom organizer with adjustable shelves and a woven basket, designed to fit over a standard toilet for space-saving storage." +"GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Metal Shoe Cap Rack With 8 Double Hooks For Living Room, Bathroom, Hallway",https://m.media-amazon.com/images/I/416WaLx10jL._SS522_.jpg,Modern,Metal,White,https://www.amazon.com/dp/B0CJHKVG6P,"['shoe rack', 'free standing', 'multi-layer', 'metal', 'white']","This is a free-standing shoe rack featuring a multi-layer design, ideal for organizing footwear in a living room, bathroom, or hallway. The rack is constructed from metal, providing a sturdy and durable frame. It is finished in a clean white color, which gives it a modern and versatile look that can blend with various interior decors. + +The rack includes several horizontal tiers, each designed to hold multiple pairs of shoes, making it a space-efficient solution for shoe storage. Additionally, the top part of the rack is equipped with 8 double hooks, which can be used to hang items such as hats, scarves, or bags. This added functionality makes the rack a multifunctional piece of furniture, not only serving as shoe storage but also as a convenient spot to hang various accessories. + +The overall design is sleek and minimalistic, with an emphasis on functionality and space-saving. It would be a practical addition to any home, helping to keep shoes and accessories neatly organized and easily accessible.","White metal free-standing shoe rack with multiple tiers for shoes and 8 double hooks for accessories, offering a sleek and space-efficient storage solution." +"subrtex Leather ding Room, Dining Chairs Set of 2, Black",https://m.media-amazon.com/images/I/31SejUEWY7L._SS522_.jpg,Black Rubber Wood,Sponge,Black,https://www.amazon.com/dp/B0B66QHB23,"['dining chairs', 'set of 2', 'leather', 'black']","This image features a set of two contemporary dining chairs. The chairs are upholstered in black faux leather, which gives them a sleek and modern appearance. The design includes a high backrest with subtle stitching details that create vertical lines, adding an element of texture and sophistication. The legs of the chairs are also black, maintaining a uniform and elegant look. These chairs would complement a modern dining room setting with their clean lines and minimalist style.",Set of 2 contemporary black faux leather dining chairs with vertical stitching details. +"Plant Repotting Mat MUYETOL Waterproof Transplanting Mat Indoor 26.8"" x 26.8"" Portable Square Foldable Easy to Clean Gardening Work Mat Soil Changing Mat Succulent Plant Transplanting Mat Garden Gifts",https://m.media-amazon.com/images/I/41RgefVq70L._SS522_.jpg,Modern,Polyethylene,Green,https://www.amazon.com/dp/B0BXRTWLYK,"['plant repotting mat', 'waterproof', 'portable', 'foldable', 'green']","This is a square plant repotting mat designed for indoor gardening tasks such as transplanting or changing the soil of plants. The mat measures 26.8 inches by 26.8 inches and is made from a waterproof material, which appears to be a durable, easy-to-clean fabric in a vibrant green color. The edges of the mat are raised with integrated corner buttons to help contain soil and water, making the repotting process neater. The mat is foldable and portable, making it convenient for storage and use in various locations. It is suitable for a range of gardening activities, particularly for working with succulents and other small plants. This mat could be a practical gift for gardening enthusiasts.","Square, waterproof, green plant repotting mat" +"Pickleball Doormat, Welcome Doormat Absorbent Non-Slip Floor Mat Bathroom Mat 16x24",https://m.media-amazon.com/images/I/61vz1IglerL._SS522_.jpg,Modern,Rubber,A5589,https://www.amazon.com/dp/B0C1MRB2M8,"['doormat', 'absorbent', 'non-slip', 'brown']","This is a rectangular doormat featuring a playful design that caters to pickleball enthusiasts. The mat's primary color is a natural coir brown, providing a neutral and earthy tone that complements various entryway decors. Emblazoned across the mat in bold, black lettering is the phrase ""it's a good day to play PICKLEBALL,"" with the word ""PICKLEBALL"" being prominently displayed in larger font for emphasis. Below the text, there is a graphic of two crossed pickleball paddles in black, which adds a thematic touch to the design. + +The doormat appears to be made of coir, a durable and absorbent material derived from coconut husks, which is excellent for scraping shoes clean. The size is specified as 16x24 inches, making it a suitable size for a standard doorway. The description mentions that it is non-slip, suggesting that the underside of the mat has a gripping feature to keep it in place on various floor surfaces. Additionally, it is described as absorbent, indicating that it can effectively capture moisture and prevent it from being tracked indoors. The mat could also be used in a bathroom setting due to its absorbent qualities.","Rectangular coir doormat with ""it's a good day to play PICKLEBALL"" message" +"JOIN IRON Foldable TV Trays for Eating Set of 4 with Stand,Folding TV/Snack Tray Table Set,Folding TV Dinner Tables for Small Space,(Grey)",https://m.media-amazon.com/images/I/41p4d4VJnNL._SS522_.jpg,X Classic Style,Iron,Grey Set of 4,https://www.amazon.com/dp/B0CG1N9QRC,"['tv tray table set', 'foldable', 'metal', 'grey']","This image showcases a set of four foldable TV trays with a stand, designed for eating or as snack tray tables. The tables are finished in a grey tone, which gives them a modern and neutral look that can easily blend with various interior decors. Each tray features a rectangular top with a wood grain texture, supported by a sturdy iron frame with an A-shaped folding mechanism, allowing for easy storage and portability. The stand included in the set provides a convenient way to keep the tables organized and readily accessible when not in use. These tables are practical for small spaces, offering a temporary dining surface or a place to hold snacks during TV viewing or other activities.","Set of four foldable TV trays with stand, featuring a modern grey wood grain finish and sturdy iron frame, ideal for dining or snacks in small spaces." +"LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Storage Cabinet with 3-Drawers on The Left, Suitable for Bathrooms, Kitchens, Laundry Rooms and Other Places.",https://m.media-amazon.com/images/I/41zMuj2wvvL._SS522_.jpg,"Soft-closing Switch, Soft-closing Switch",Wood,Cameo Scotch,https://www.amazon.com/dp/B0C9WYYFLB,"['bathroom vanity', 'sink base cabinet', 'storage', '3-drawers', 'wood', 'brown']","This is a LOVMOR 30'' Bathroom Vanity Sink Base Cabinet featuring a classic design with a rich brown finish. The cabinet is constructed with three drawers on the left side, offering ample storage for bathroom essentials, personal items, or cleaning supplies. The drawers appear to have recessed panel fronts and sleek handles, which contribute to the cabinet's traditional aesthetic. The right side of the cabinet has two doors with matching recessed panels and handles, concealing additional storage space. This versatile cabinet is suitable not only for bathrooms but also for kitchens, laundry rooms, and other areas where extra storage is needed. The overall design suggests durability and functionality, making it a practical addition to any home.","LOVMOR 30'' Bathroom Vanity Sink Base Cabinet with a classic brown finish, featuring three drawers and two doors for ample storage, suitable for bathrooms, kitchens, and laundry rooms." +"Folews Bathroom Organizer Over The Toilet Storage, 4-Tier Bathroom Shelves Over Toilet Shelf Above Toilet Storage Rack Freestanding Bathroom Space Saver Adjustable Shelves and Baskets, Black",https://m.media-amazon.com/images/I/41ixgM73DgL._SS522_.jpg,Classic,,,https://www.amazon.com/dp/B09NZY3R1T,"['over-the-toilet storage', '4-tier', 'adjustable shelves', 'baskets', 'freestanding', 'bathroom space saver', 'black', 'metal']","This is a 4-tier bathroom organizer designed to fit over a standard toilet, providing a space-saving storage solution. The unit is constructed with a sturdy metal frame in a black finish, which offers both durability and a sleek, modern look. The design includes four shelves that provide ample space for storing bathroom essentials such as towels, toiletries, and cleaning supplies. The shelves are adjustable, allowing for customization based on the height of the items being stored. Additionally, the organizer features baskets that can be used to hold smaller items, ensuring they are neatly contained and easily accessible. The freestanding design means it can be placed over the toilet without the need for wall mounting, making it a versatile and convenient addition to any bathroom.","Black metal 4-tier bathroom organizer with adjustable shelves and baskets, designed to fit over a standard toilet for space-saving storage." +"Lerliuo Nightstand, Side Table, Industrial Bedside Table with 2 Drawers and Open Shelf, Grey Night Stand, End Table with Steel Frame for Bedroom, Dorm, Gray/Black 23.6''H",https://m.media-amazon.com/images/I/41IzLmM91FL._SS522_.jpg,Classic,Stone,Grey,https://www.amazon.com/dp/B09PTXGFZD,"['nightstand', 'side table', 'bedside table', 'industrial', '2 drawers', 'open shelf', 'steel frame', 'grey', 'black', '23.6 inches height']","This is a Lerliuo nightstand featuring an industrial design. The bedside table has a sturdy steel frame in black, providing a strong contrast to the grey wood-look panels that make up the drawers and tabletop. It includes two drawers with black round knobs for easy opening, offering ample storage space for personal items. Above the drawers, there is an open shelf that provides additional space for books or decorative items. The overall dimensions are approximately 23.6 inches in height, making it suitable for most bed heights. The combination of grey and black gives this nightstand a modern and versatile look that can fit into various bedroom decors, from contemporary to rustic.","Industrial-style Lerliuo nightstand with a black steel frame and grey wood-look panels, featuring two drawers and an open shelf." +Boss Office Products Any Task Mid-Back Task Chair with Loop Arms in Grey,https://m.media-amazon.com/images/I/41rMElFrXBL._SS522_.jpg,Loop Arms,Foam,Grey,https://www.amazon.com/dp/B002FL3LL2,"['office chair', 'mid-back', 'task chair', 'loop arms', 'grey', 'fabric', 'swivel', 'adjustable height']","This is a mid-back task chair designed for office use, featuring loop arms for added comfort. The chair is upholstered in a grey fabric that offers a neutral look, suitable for various office decors. Its backrest and seat are contoured to provide support and comfort during extended periods of sitting. The chair includes a pneumatic height adjustment lever, allowing the user to modify the seat height to their preference. The five-star base with caster wheels ensures easy mobility across different floor surfaces. The loop arms are made of durable black plastic, which complements the chair's overall design and provides a place to rest your arms while working.",Mid-back grey fabric office task chair with loop arms and pneumatic height adjustment. +"Kingston Brass BA1752BB Heritage 18-Inch Towel-Bar, Brushed Brass",https://m.media-amazon.com/images/I/21opezr3bUL._SS522_.jpg,Traditional,Brass,Brushed Brass,https://www.amazon.com/dp/B0B9PLM9P8,"['towel bar', 'brass', 'brushed brass', '18-inch', 'wall mounted']","This is the Kingston Brass BA1752BB Heritage 18-Inch Towel Bar in a brushed brass finish. The towel bar features a classic design with two ornate mounting brackets that provide a touch of elegance. The bar itself is a straight, cylindrical rod, perfect for hanging towels. The brushed brass finish gives it a warm, golden tone that exudes a vintage charm, making it suitable for traditional bathroom decors. The solid brass construction ensures durability and long-lasting use.",Classic 18-inch Kingston Brass towel bar +Chief Mfg.Swing-Arm Wall Mount Hardware Mount Black (TS218SU),https://m.media-amazon.com/images/I/41HxUoRXloL._SS522_.jpg,,,Black,https://www.amazon.com/dp/B007E40Z5K,"['wall mount', 'swing-arm', 'hardware mount', 'black', 'metal']","This image shows the Chief Mfg. Swing-Arm Wall Mount, model TS218SU, which is a hardware mount designed for televisions or monitors. The mount is black in color and features a robust, articulated swing-arm design that allows for flexible positioning of the screen. The arm can extend, tilt, and swivel, providing a range of motion for optimal viewing angles. The wall plate and the mounting bracket are designed with multiple holes for secure attachment to the wall and the device, respectively. The construction appears to be made of durable metal, suitable for supporting the weight and size of compatible screens as specified by the manufacturer.",Black articulated swing-arm wall mount for TVs or monitors +"DOMYDEVM Black End Table, Nightstand with Charging Station, Bedside Table with Drawer, Small Side Table with USB Ports and Outlets for Bedroom",https://m.media-amazon.com/images/I/41YrmN-yOEL._SS522_.jpg,Modern,Metal,Black,https://www.amazon.com/dp/B0BFJGDHVF,"['end table', 'nightstand', 'charging station', 'bedside table', 'drawer', 'side table', 'usb ports', 'outlets', 'black', 'wood', 'metal mesh']","This is a black end table or nightstand featuring a built-in charging station. It is designed with a compact and functional structure, ideal for a bedroom setting. The table includes a top surface suitable for holding small items like a plant or a phone, as depicted in the image. Below the top, there is a drawer with a metal mesh front, providing storage while adding an industrial touch to the design. The drawer likely conceals the charging station, which includes USB ports and outlets for convenient device charging. Beneath the drawer, there is an open shelf, perfect for storing books or displaying decorative items. The table is supported by four sturdy legs, and the overall aesthetic is modern and minimalist, making it versatile for various decor styles. The inclusion of a charging station makes it a practical piece of furniture for the modern, tech-savvy user.","Modern black end table with built-in charging station, featuring a drawer and an open shelf, ideal for bedroom use." +"LASCO 35-5019 Hallmack Style 24-Inch Towel Bar Accessory, All Metal Construction, Chrome Plated Finish",https://m.media-amazon.com/images/I/31rrpY5EJOL._SS522_.jpg,,Metal,Chrome,https://www.amazon.com/dp/B00N2OZU42,"['towel bar', 'metal', 'chrome', '24-inch']","This is a 24-inch towel bar accessory designed in the Hallmack style. It features an all-metal construction with a chrome-plated finish, giving it a sleek and shiny appearance. The bar is supported by two end brackets that are also chrome-plated, and it is designed to be mounted on a wall to hold towels. Its polished surface reflects light and is likely to complement a modern or contemporary bathroom decor.","Sleek 24-inch chrome-plated Hallmack style towel bar with polished finish, designed for modern bathroom decors." +"Table-Mate II PRO TV Tray Table - Folding Table with Cup Holder and Tablet Slot- Couch Desk for Working from Home, TV Trays for Eating, Portable and Adjustable TV Table, Slate Gray",https://m.media-amazon.com/images/I/31cbTc2VhaL._SS522_.jpg,Cupholder+Tablet Slot+Side Storage,,Slate Gray,https://www.amazon.com/dp/B093KMM9D3,"['tv tray table', 'folding table', 'cup holder', 'tablet slot', 'couch desk', 'portable', 'adjustable', 'slate gray', 'metal']","This is the Table-Mate II PRO TV Tray Table, a versatile and functional piece designed for convenience and adaptability. The table features a slate gray color, giving it a modern and neutral look that can easily blend with various interior decors. It is constructed with a folding design, allowing for easy storage and portability. + +The tabletop includes a textured surface to prevent items from slipping and has a built-in cup holder on one side, ensuring that drinks can be securely placed without the risk of spills. Additionally, there is a tablet slot, which provides a convenient space for electronic devices, making it ideal for working from home or enjoying media. + +The table's height and angle are adjustable, offering flexibility to accommodate different seating arrangements and personal preferences. The L-shaped legs are designed to slide under couches or chairs, making it perfect for use while sitting on a sofa or bed. + +Constructed from durable materials, this TV tray table is suitable for various activities, such as eating meals, working on a laptop, or holding snacks during movie nights. Its compact and lightweight design makes it an excellent choice for small living spaces or for those who need an easily movable work surface.","Table-Mate II PRO TV Tray Table with built-in cup holder and tablet slot, adjustable height and angle, in slate gray, ideal for versatile use in small living spaces." +EGFheal White Dress Up Storage,https://m.media-amazon.com/images/I/31l+OVMKBFL._SS522_.jpg,,,,https://www.amazon.com/dp/B0C7QD8KYX,"['dress up storage', 'white', 'wood']","This is a white dress-up storage unit designed for children's playrooms or bedrooms. The unit features a sturdy construction with a clean white finish that easily blends with various decor styles. It includes a hanging area with a rod for costumes or clothing, complete with several white hangers. Below the hanging space, there are two open shelves for additional storage, perfect for shoes, hats, or toys. To the right of the hanging area, there are two grey fabric storage bins that slide into cubbies, offering concealed storage for accessories or small items. The top of the unit has a row of decorative crown-like cutouts, adding a playful touch to the design. The base of the unit is slightly recessed, creating a convenient lower storage area that can be used for larger items or as a seating bench. This dress-up storage unit is a functional and charming addition to a child's space, encouraging organization and imaginative play.","White children's dress-up storage unit with hanging area, shelves, and grey fabric bins, perfect for organizing costumes and accessories in playrooms or bedrooms." +"Caroline's Treasures PPD3013JMAT Enchanted Garden Flowers Doormat 24x36 Front Door Mat Indoor Outdoor Rugs for Entryway, Non Slip Washable Low Pile, 24H X 36W",https://m.media-amazon.com/images/I/51Zn-AivGrL._SS522_.jpg,Enchanted Garden Flowers,Rubber,Enchanted Garden Flowers,https://www.amazon.com/dp/B08Q5KDSQK,"['doormat', 'floral', 'non-slip', 'washable', 'low pile', 'indoor', 'outdoor', 'colorful']","This is a vibrant and colorful doormat featuring a design titled ""Enchanted Garden Flowers."" The dimensions of the doormat are 24 inches in height by 36 inches in width. It is suitable for both indoor and outdoor use, making it versatile for placement at a front door or entryway. The doormat is designed to be non-slip and washable, with a low pile that ensures easy door movement and maintenance. The design showcases a variety of stylized flowers in rich hues of purple, red, yellow, and green, set against a dark background that makes the colors pop. This doormat would add a cheerful and welcoming touch to any home entrance.","Colorful ""Enchanted Garden Flowers"" doormat" +"Leick Home 70007-WTGD Mixed Metal and Wood Stepped Tier Bookshelf, White Herringbone/Satin Gold",https://m.media-amazon.com/images/I/31XhtLE1F1L._SS522_.jpg,Bookshelf,,,https://www.amazon.com/dp/B098KNRNLQ,"['bookshelf', 'metal', 'wood', 'white', 'gold', 'stepped tier', 'herringbone pattern']","This is a Leick Home Mixed Metal and Wood Stepped Tier Bookshelf featuring a white herringbone pattern on the shelves, complemented by a satin gold finish on the metal frame. The bookshelf has a modern, open design with a stepped configuration, providing three tiers of shelving for books, decorative items, or other belongings. The white shelves contrast elegantly with the warm metallic tone of the frame, creating a piece that is both functional and stylish, suitable for a variety of interior decor styles.","Modern Leick Home bookshelf with white herringbone shelves and a satin gold metal frame, featuring a stepped tier design for stylish storage." +"Caroline's Treasures CK3435MAT Bichon Frise Doormat 18x27 Front Door Mat Indoor Outdoor Rugs for Entryway, Non Slip Washable Low Pile, 18H X 27W",https://m.media-amazon.com/images/I/51V1IWRrXHL._SS522_.jpg,Bichon Frise,Rubber,Bichon Frise,https://www.amazon.com/dp/B07W8SF5CF,"['doormat', 'non-slip', 'washable', 'low pile', 'floral', 'animal print', 'indoor', 'outdoor']","This is a decorative doormat featuring a Bichon Frise dog as the central design. The doormat measures 18 inches in height and 27 inches in width. It is designed for both indoor and outdoor use, making it versatile for placement at the front door or any entryway. The mat has a non-slip feature to ensure safety and stability, and it is washable, which allows for easy maintenance. The pile of the mat is low, which helps in preventing tripping and allows for doors to pass over it easily. The background of the mat is adorned with a floral pattern in a variety of colors, set against a light blue backdrop, which adds a charming and vibrant touch to the item. The black border frames the design neatly, enhancing its visual appeal.","Decorative doormat featuring a Bichon Frise with a colorful floral background, designed for indoor and outdoor use with a non-slip, washable feature." +"Wildkin Kids Canvas Sling Bookshelf with Storage for Boys and Girls, Wooden Design Features Four Shelves and Two Drawers, Helps Keep Bedrooms, Playrooms, and Classrooms Organized (Natural with Blue)",https://m.media-amazon.com/images/I/51-GsdoM+IS._SS522_.jpg,Natural with Blue Canvas,"Engineered Wood, Polyester",,https://www.amazon.com/dp/B07GBVFZ1Y,"['bookshelf', 'kids', 'canvas', 'wood', 'storage', 'four shelves', 'two drawers', 'natural', 'blue']","This is a Wildkin Kids Canvas Sling Bookshelf with Storage, designed for children's bedrooms, playrooms, or classrooms. The bookshelf features a natural wood finish, giving it a warm and inviting look that blends well with various decor styles. It includes four canvas sling shelves in a deep blue color, which are ideal for displaying books in a way that makes the covers easily visible and accessible to children. + +Below the sling shelves, there are two additional wooden shelves that provide extra space for storing toys, games, or additional books. The unit also comes with two matching blue canvas drawers that fit neatly into the lower section, offering concealed storage for smaller items and helping to keep the area tidy. + +The overall design is kid-friendly, with a sturdy wooden frame that ensures durability and stability. The combination of open shelving and drawers makes it versatile for organizing a variety of items, encouraging children to keep their spaces organized.","Wildkin Kids Canvas Sling Bookshelf with Storage in natural wood and deep blue, featuring four sling shelves and two lower wooden shelves with matching canvas drawers for versatile organization in children's spaces." +Gbuzozie 38L Round Laundry Hamper Cute Mermaid Girl Storage Basket Waterproof Coating Organizer Bin For Nursery Clothes Toys,https://m.media-amazon.com/images/I/41hYmELREGL._SS522_.jpg,Fashion,fabric,Mermaid Girl,https://www.amazon.com/dp/B09QZ3LYWB,"['laundry hamper', 'round', 'waterproof', 'storage basket', 'nursery', 'toys organizer', 'cute', 'mermaid', 'pink', 'blue', 'fabric']","This is a 38-liter round laundry hamper featuring a cute mermaid girl design, ideal for adding a playful touch to a nursery or child's room. The hamper is made with a waterproof coating, making it suitable for storing not just clothes but also toys and other items. The design showcases a whimsical mermaid with vibrant pink hair and a green tail, set against a soft blue background adorned with sea creatures and coral motifs. The hamper appears to be equipped with two durable handles for easy transport. Its collapsible design allows for convenient storage when not in use. This organizer bin combines functionality with a charming aesthetic, making it a delightful addition to any space that requires tidying up.","A 38-liter round laundry hamper with a waterproof coating, featuring a whimsical mermaid design, perfect for nurseries or children's rooms." +"Tiita Comfy Saucer Chair, Soft Faux Fur Oversized Folding Accent Chair, Lounge Lazy Chair for Kids Teens Adults, Metal Frame Moon Chair for Bedroom, Living Room, Dorm Rooms",https://m.media-amazon.com/images/I/41O7mY3lUvL._SS522_.jpg,Modern,pp cotton,Grey,https://www.amazon.com/dp/B09T5T67VC,"['saucer chair', 'faux fur', 'oversized', 'folding', 'metal frame', 'moon chair', 'grey']","This is a Tiita Comfy Saucer Chair featuring a plush, oversized seat cushion upholstered in soft faux fur. The chair is designed to provide a cozy and comfortable seating experience, suitable for kids, teens, and adults. It has a distinctive moon chair silhouette with a generously padded, tufted cushion that creates an inviting look and feel. + +The chair's frame is made of durable metal, finished in black, which folds easily for convenient storage and transport. The color of the faux fur appears to be a neutral grey, making it versatile for various room decors. This chair is ideal for adding a touch of comfort and style to bedrooms, living rooms, dorm rooms, or any space where a casual and relaxing seat is desired.","Plush grey faux fur saucer chair with a foldable metal frame, offering cozy seating for bedrooms or dorms." +"Summer Desk Decor,Welcome Summer Wood Block Sign Desk Decor,Rustic Summer Fruits and Popsicles Wooden Box Plaque Sign Desk Decor for Home Office Shelf Table Decorations",https://m.media-amazon.com/images/I/51sai4l5ttL._SS522_.jpg,,,,https://www.amazon.com/dp/B0C99NS6CZ,"['desk decor', 'wood', 'block sign', 'rustic', 'summer', 'fruits', 'popsicles', 'wooden box', 'plaque', 'table decorations']","This is a ""Welcome Summer"" themed wooden block sign designed as a decorative desk accessory. The sign features a vibrant and colorful watercolor-style illustration with motifs of summer fruits like watermelon slices, lemons, and limes, as well as popsicles, which evoke a refreshing and joyful summer vibe. The phrase ""Welcome Summer"" is prominently displayed in the center in a playful, multicolored font that complements the illustrations surrounding it. + +The wooden box plaque has a rustic yet cheerful look, making it suitable for adding a touch of seasonal charm to a home office, shelf, or table. The edges are clean and the sign appears to be self-standing, which allows for easy placement without the need for additional support. The overall design suggests a casual and fun atmosphere, perfect for summer-themed decor.","Colorful ""Welcome Summer"" wooden block sign with summer fruits and popsicles design, ideal for seasonal desk or shelf decor." +"Homebeez 39.1"" Length Bedroom Storage Bench, End Bed Ottoman Bench with Golden Metal Legs, Dressing Chair for Entryway Living Room,Green",https://m.media-amazon.com/images/I/31eBuhJ0NDL._SS522_.jpg,Trumpet Leg,,Green,https://www.amazon.com/dp/B0BWQ8M4Q3,"['storage bench', 'ottoman', 'green', 'metal legs', 'golden legs', 'velvet', 'bedroom furniture', 'entryway furniture', 'living room furniture']","This is a Homebeez bedroom storage bench featuring a luxurious green velvet upholstery that adds a vibrant touch to any room. The bench measures 39.1 inches in length, providing ample space for seating or storage. It is designed with a hinged top that likely opens to reveal a storage compartment, ideal for keeping linens, accessories, or other household items neatly tucked away. + +The bench is supported by sleek golden metal legs that give it a modern and elegant look, while also ensuring stability and durability. The combination of the rich green color and the golden accents creates a sophisticated aesthetic that can complement both contemporary and classic interior designs. + +This versatile piece of furniture can serve as an end-of-bed ottoman, providing a comfortable place to sit while dressing or putting on shoes. It can also be placed in an entryway, living room, or any other space where additional seating and storage are desired. The bench's chic design and functional features make it a stylish and practical addition to any home.","Luxurious green velvet storage bench with golden metal legs, featuring a hinged top for ample storage space, perfect for adding a vibrant and sophisticated touch to any room." +"Flash Furniture Webb Commercial Grade 24"" Round Blue Metal Indoor-Outdoor Table",https://m.media-amazon.com/images/I/41IWb+KWq7L._SS522_.jpg,Contemporary,Metal,Blue,https://www.amazon.com/dp/B01M3VT58B,"['table', 'metal', 'indoor-outdoor', 'blue', 'round']","This is a commercial-grade 24"" round table designed for both indoor and outdoor use. The table features a vibrant blue finish that adds a pop of color to any setting. The tabletop is smooth and circular, providing ample space for dining or display. Its metal construction ensures durability and stability, while the sleek, tapered legs give it a modern and stylish look. The table also includes protective rubber feet to prevent damage to flooring and to enhance stability. This piece is ideal for cafes, bistros, or home patios looking for a contemporary and functional table.","Commercial-grade 24"" round table with a vibrant blue finish, suitable for indoor and outdoor use, featuring a durable metal construction, sleek tapered legs, and protective rubber feet." +"Mellow 2 Inch Ventilated Memory Foam Mattress Topper, Soothing Lavender Infusion, CertiPUR-US Certified, Queen",https://m.media-amazon.com/images/I/418jBmKzSxL._SS522_.jpg,,,,https://www.amazon.com/dp/B077ZDFXYK,"['mattress topper', 'memory foam', 'ventilated', 'lavender infusion', 'certipur-us certified', 'queen size', 'purple']","This is a queen-sized Mellow 2 Inch Ventilated Memory Foam Mattress Topper featuring a soothing lavender infusion. The topper is designed to provide additional comfort and support to your existing mattress. It is made from memory foam, which is known for its pressure-relieving properties and ability to conform to the body's shape. The lavender infusion is intended to offer a calming and relaxing scent, potentially enhancing sleep quality. + +The topper is ventilated, which means it has small holes or channels throughout to promote airflow and help regulate sleeping temperature. This can also contribute to the overall comfort by preventing overheating during the night. + +The product is CertiPUR-US certified, ensuring that it is made without harmful chemicals and meets strict standards for content, emissions, and durability. The certification also indicates that the foam has been tested for low VOC (volatile organic compound) emissions for indoor air quality. + +The topper appears to have a purple hue, which is likely indicative of the lavender infusion, and it sits atop a mattress that is part of a neatly arranged bed with pillows against a white brick wall backdrop. The room has a modern and minimalistic aesthetic, with natural light coming in from a window on the left.","Queen-sized lavender-infused memory foam mattress topper designed for enhanced comfort and relaxation, featuring ventilation for improved airflow and temperature regulation, and CertiPUR-US certified for safety and quality." +"CangLong Mid Century Modern Side Chair with Wood Legs for Kitchen, Living Dining Room, Set of 1, Black",https://m.media-amazon.com/images/I/31wnzq-TwKL._SS522_.jpg,Modern,,Black,https://www.amazon.com/dp/B08RTLBD1T,"['chair', 'mid-century modern', 'wood', 'black']","This is a CangLong Mid Century Modern Side Chair featuring a sleek black seat with an ergonomic design for comfort. The chair is supported by four sturdy wooden legs that display the natural wood grain, adding a warm contrast to the black seat. The legs are splayed slightly outward, which is characteristic of mid-century modern design, providing both style and stability. This chair is suitable for a variety of settings, including kitchens, dining rooms, or living spaces, and can complement a range of interior decor styles. It is sold as a set of one, allowing for individual purchase or the option to buy multiple to create a cohesive seating arrangement.","Mid-century modern side chair with a sleek black seat and natural wood legs, perfect for dining or living spaces." +"HomePop Metal Accent Table Triangle Base Round Mirror Top, Black, 18.24D x 24W x 18H in",https://m.media-amazon.com/images/I/41cG70UIWTL._SS522_.jpg,Modern,Glass,Black,https://www.amazon.com/dp/B08N5H868H,"['accent table', 'metal', 'mirror top', 'black', 'triangle base', 'round']","This is a modern accent table featuring a sleek, triangular metal base with a black finish that provides stability and an industrial aesthetic. The round tabletop is a mirror, adding a reflective and elegant touch to the piece. The dimensions of the table are approximately 18.24 inches in diameter and 24 inches in width, with a height of 18 inches, making it a versatile size for various uses such as a side table or decorative display stand. The combination of the mirrored surface and the geometric metal base makes this table a stylish addition to contemporary home decor.","Modern accent table with a mirrored round top and a sleek, triangular black metal base, perfect for contemporary decor." +MAEPA RV Shoe Storage for Bedside - 8 Extra Large Pockets - Dark Grey Rv Shoe Organizer with RV Shoe Pockets - Hanging Bedside Storage for RV Camper Bed Length35.4inches/2.95ft(Dark Grey),https://m.media-amazon.com/images/I/31bcwiowcBL._SS522_.jpg,,Oxford,Dark Gray,https://www.amazon.com/dp/B0C4PL1R3F,"['rv shoe storage', 'bedside organizer', 'hanging storage', 'dark grey', 'fabric', 'extra large pockets']","This is a dark grey RV shoe storage organizer designed to provide convenient hanging storage, ideal for use in an RV or camper. It features 8 extra-large pockets that offer ample space for organizing and storing shoes. The organizer is made to hang at the bedside, making it easy to access footwear. The total length of the unit is 35.4 inches, or approximately 2.95 feet, which allows it to accommodate various shoe sizes. The material appears to be a durable fabric, suitable for the interior of an RV, and the color is a versatile dark grey that should blend well with most interiors. The image also shows four metal hooks, which are likely used to hang the organizer securely in place.","Dark grey RV shoe storage organizer with 8 extra-large pockets for convenient bedside hanging, designed to fit various shoe sizes and blend seamlessly with most interiors." +"NearMoon Hand Towel Holder/Towel Ring - Bathroom Towel Bar, Premium Thicken Space Aluminum Towel Rack Wall Towel Hanger, Contemporary Style Bath Hardware Accessories Wall Mounted (Gold)",https://m.media-amazon.com/images/I/51eswTC1ufL._SS522_.jpg,,,,https://www.amazon.com/dp/B09PND1VQ5,"['towel holder', 'towel ring', 'bathroom', 'space aluminum', 'wall mounted', 'gold', 'contemporary']","This is a NearMoon Hand Towel Holder/Towel Ring, designed to be a functional and stylish accessory for a bathroom. The towel holder is made from premium thickened space aluminum, which provides durability and resistance to corrosion. The color of the towel rack is gold, giving it a contemporary and luxurious appearance. + +The design features a straight bar with a rectangular profile, which allows for easy hanging and access to a hand towel. The wall-mounted fixture has a clean and modern aesthetic, with concealed mounting hardware that contributes to its sleek appearance. The holder is part of a bath hardware collection, suggesting that it could be coordinated with other accessories in the same style and finish for a cohesive bathroom design.","Gold NearMoon hand towel holder with a sleek, modern design, made from durable space aluminum, perfect for adding a touch of luxury to any bathroom." +"FLYJOE Narrow Side Table with PU Leather Magazine Holder Rustic Slim Little Thin Table for Living Room, Bedroom, Sofa, Set of 2, Black",https://m.media-amazon.com/images/I/41Hsse9SYsL._SS522_.jpg,Country Rustic,Engineered Wood,Black-set of 2,https://www.amazon.com/dp/B0CHYDTQKN,"['side table', 'narrow', 'magazine holder', 'pu leather', 'slim', 'set of 2', 'black']","This set includes two narrow side tables, each featuring a sleek black finish that complements a modern or contemporary decor style. The tables are designed with a slim profile, making them suitable for small spaces such as beside a sofa or bed. The tabletop provides a flat surface for placing drinks, books, or decorative items. + +Below the tabletop, each side table incorporates a PU leather magazine holder, offering a convenient storage solution for magazines, newspapers, or small books. The magazine holder's black leather material adds a touch of sophistication and contrasts nicely with the metal frame of the table. + +The tables are supported by a sturdy metal frame, ensuring stability and durability. The base is designed to slide under a couch or bed slightly, maximizing space efficiency. This set is ideal for those looking to add functional furniture with a minimal footprint to their living room or bedroom.","Set of 2 narrow side tables with black finish and built-in PU leather magazine holders, featuring a slim design ideal for small spaces and a sturdy metal frame for stability." +"HomePop Home Decor | K2380-YDQY-2 | Luxury Large Faux Leather Square Storage Ottoman | Ottoman with Storage for Living Room & Bedroom, Dark Brown",https://m.media-amazon.com/images/I/416lZwKs-SL._SS522_.jpg,Modern,Engineered Wood,Dark Gray,https://www.amazon.com/dp/B0B94T1TZ1,"['ottoman', 'faux leather', 'storage', 'square', 'dark brown']","This is a luxury large square storage ottoman featuring a faux leather upholstery in a dark brown color. The design includes a simple and elegant tufted top with visible stitching that adds texture and interest. The ottoman stands on four sturdy wooden legs, which provide stability and raise the piece slightly off the ground. The color and material give it a rich, classic look that would complement a variety of living room or bedroom decors. Additionally, this ottoman serves a dual purpose by offering ample storage space inside, making it a functional piece for organizing and decluttering your space.","Luxurious dark brown faux leather storage ottoman with a tufted top and wooden legs, offering ample interior space for organization." +Moroccan Leather Pouf Ottoman for Living Room - Round Leather Ottoman Pouf Cover - Unstuffed Pouf Ottoman Leather Foot Stool - Moroccan Pouf Ottoman - Moroccan Ottoman Pouf Leather (Brown),https://m.media-amazon.com/images/I/51UKACPPL9L._SS522_.jpg,"Modern, Boho, Chic",Leather,Brown,https://www.amazon.com/dp/B0CP45784G,"['ottoman', 'moroccan', 'leather', 'unstuffed', 'foot stool', 'brown']","This is a round Moroccan leather pouf ottoman cover in a rich brown color. It features an intricate, embossed mandala-like pattern in the center, surrounded by stitched segments that create a pleasing geometric design. The stitching is done in a contrasting light color, which accentuates the pouf's shape and design details. This unstuffed pouf cover can be filled to serve as a comfortable footstool or additional seating in a living room or any other space. The leather material adds a touch of luxury and durability, making it both a functional and decorative item. Please note that as an unstuffed cover, it will need to be filled before use.","Round Moroccan leather pouf ottoman cover in brown with an embossed mandala pattern and contrasting stitching, designed for use as a footstool or extra seating once filled." +"AnyDesign Christmas Welcome Doormat Decorative Xmas Holiday Front Floor Mat Indoor Outdoor Carpet Non-Slip Door Mat for Indoor Outdoor Home Office Kitchen Yard Garden Decoration, 17 x 29 Inch",https://m.media-amazon.com/images/I/51RpGVRAFcL._SS522_.jpg,,,,https://www.amazon.com/dp/B0BC85H7Y7,"['doormat', 'christmas', 'holiday', 'decorative', 'non-slip', 'indoor', 'outdoor', 'fabric']","This is a rectangular Christmas-themed welcome doormat measuring 17 x 29 inches. The mat features a natural beige background, likely made of a durable, coarse fabric such as coir or a synthetic equivalent to withstand foot traffic. The word ""Welcome"" is prominently displayed in large, black, cursive lettering across the center. Above the text, there is a festive design of mistletoe with green leaves and a red and white Santa hat, along with a red ornament decorated with white snowflake patterns. The border of the mat has a striped pattern alternating between red and a lighter beige, resembling a candy cane motif, which adds to the holiday spirit of the design. The mat is described as non-slip, suggesting it has a grippy material on the underside to keep it in place on various surfaces, making it suitable for both indoor and outdoor use. It is intended to serve as a decorative and functional piece for home, office, kitchen, yard, or garden settings during the Christmas season.","Festive Christmas-themed welcome doormat with mistletoe, Santa hat, and ornament design, featuring a natural beige background and candy cane striped border." +GXFC ZHAO Welcome Funny Door Mat Shoes and Bras Off Please Personalized Doormat with Anti-Slip Rubber Back (23.6 X 15.7 inch) Prank Gift Home Decor Area Rugs for The Entrance Way Indoor Novelty Mats,https://m.media-amazon.com/images/I/51z8ko3rsiL._SS522_.jpg,Modern,Rubber,"Colorful,Funny,Novelty,Personalized",https://www.amazon.com/dp/B07X61R7N8,"['door mat', 'anti-slip', 'rubber back', 'novelty', 'brown']","This is a novelty doormat designed to be placed at the entrance of a home. The doormat measures 23.6 by 15.7 inches and features a humorous message that reads ""SHOES & BRAS OFF PLEASE"" in bold, black lettering against a brown background, which gives it a playful and inviting appearance. The design includes decorative corner accents that resemble arrow points, adding a touch of whimsy to the overall look. + +The mat is made with a durable material suitable for indoor use and is equipped with an anti-slip rubber backing to ensure safety and prevent it from sliding around. This doormat serves as both a functional item for keeping floors clean and a prank gift or home decor piece that can add a lighthearted touch to the entrance of someone's home.","Humorous indoor doormat with ""SHOES & BRAS OFF PLEASE"" message, featuring anti-slip backing and decorative corner accents." +"LEASYLIFE Black Metal Trash can,10L/2.6GAL,Open Top Wastebasket Bin,Garbage Can for Bathroom,Living Room,Office,Kitchen,Bedroom,Hotel (Black)",https://m.media-amazon.com/images/I/31NobyGCHQL._SS522_.jpg,,,,https://www.amazon.com/dp/B09TKH23M1,"['trash can', 'metal', 'open top', 'black', '10l', '2.6gal', 'wastebasket', 'garbage can']","This is a black metal trash can with a capacity of 10 liters (2.6 gallons). It features an open-top design for easy waste disposal. The cylindrical shape and sleek black finish give it a modern and minimalist appearance, making it suitable for various settings such as bathrooms, living rooms, offices, kitchens, bedrooms, and hotels. The trash can's smooth surface and simple lines would complement contemporary decor styles.","Modern 10-liter black metal trash can with an open-top design, suitable for various indoor settings with its sleek and minimalist appearance." +"Solid Wood Wine Cabinet, bar Rack - Home Wood Furniture",https://m.media-amazon.com/images/I/31vp24lBBwL._SS522_.jpg,wood,Wood,White/Pine Oak,https://www.amazon.com/dp/B0BW4WN2NL,"['wine cabinet', 'solid wood', 'scandinavian', 'white', 'natural wood']","This is a solid wood wine cabinet featuring a contemporary design. The main structure appears to be finished in a light, possibly white or off-white hue, which contrasts nicely with the natural wood tone of the wine racks and drawer front. The cabinet is divided into two sections: on the left, there are several rows of horizontal wine racks capable of holding multiple bottles, while the right side offers a combination of open shelving and a drawer for additional storage. The cabinet is supported by four angled legs, which give it a modern and slightly Scandinavian aesthetic. The use of solid wood suggests durability and quality, making it a functional yet stylish piece for storing wine and related accessories.","Contemporary solid wood wine cabinet with contrasting white and natural wood finishes, featuring horizontal wine racks, open shelving, a storage drawer, and angled legs for a modern Scandinavian look." +"Black Leather Office Chair Mid Back Leather Desk Chair Modern Excutive Office Chair with Arms and Wheels for Home Office, by Artswish",https://m.media-amazon.com/images/I/317sVlhzMLL._SS522_.jpg,With arms,Sponge,Black,https://www.amazon.com/dp/B0BVQSPCCF,"['office chair', 'mid back', 'leather', 'black', 'with arms', 'with wheels', 'modern']","This is a mid-back leather office chair in black, designed for comfort and style in a home office setting. The chair features a generously padded seat and backrest, upholstered in a sleek black leather material that gives it a professional and modern appearance. The armrests are integrated into the design, providing support without compromising on style. It is mounted on a sturdy five-point base with dual-wheel casters for easy mobility, and the height can be adjusted to suit various desk heights and user preferences. The chair's silhouette is streamlined, making it a suitable match for a range of interior decors, particularly in contemporary and executive office spaces.","Mid-back black leather office chair with padded seat and backrest, integrated armrests, adjustable height, and a five-point base with casters for mobility, suitable for contemporary home offices." +"Convenience Concepts Tucson Flip Top End Table with Charging Station and Shelf, 23.75""L x 11.25""W x 24""H, Charcoal Gray/Black",https://m.media-amazon.com/images/I/41NVHRlEb2L._SS522_.jpg,Modern,"Manufactured Wood,MDF",Charcoal Gray / Black,https://www.amazon.com/dp/B08B45QFG7,"['end table', 'charging station', 'flip top', 'shelf', 'charcoal gray', 'black', 'wood', 'metal']","This is a Convenience Concepts Tucson Flip Top End Table featuring a built-in charging station. The table measures 23.75 inches in length, 11.25 inches in width, and 24 inches in height. It has a sleek and modern design with a charcoal gray finish on the tabletop and shelf, complemented by a black frame. The frame showcases an X-shaped design on the sides, adding both stability and a decorative touch. The flip top reveals a convenient charging station with ample space for powering electronic devices, making it a practical addition to any living space. The lower shelf provides additional storage or display space. This end table combines functionality with contemporary style, suitable for a variety of home decors.","Modern charcoal gray end table with built-in charging station, featuring a flip top and additional lower shelf for storage, set in a black frame with an X-shaped design." +"3-Tier Kitchen Storage Cart with Handle, Multifunction Utility Rolling Cart Kitchen Storage Organizer, Mobile Shelving Unit Cart with Lockable Wheels for Office, Living Room, Kitchen - Black",https://m.media-amazon.com/images/I/41yBXlrog-L._SS522_.jpg,,Plastic,Black,https://www.amazon.com/dp/B0CMX4CMMS,"['kitchen cart', '3-tier', 'rolling', 'storage organizer', 'mobile shelving', 'lockable wheels', 'black']","This is a 3-tier kitchen storage cart featuring a sleek black finish. It is designed as a multifunctional utility rolling cart that can be used for organizing various items. The cart is equipped with a convenient handle at the top, making it easy to maneuver around your space. Each tier provides ample storage space, suitable for holding kitchen supplies, office materials, or items for the living room. + +The cart is constructed with a sturdy frame and includes lockable wheels at the base, ensuring both mobility and stability when needed. The lockable feature of the wheels allows the cart to stay in place without unwanted rolling. The open shelving design allows for easy access and visibility of the items stored on each level. + +Overall, this kitchen storage organizer is a practical addition to any home or office, offering a space-saving solution and the versatility to be used in various settings.","3-tier black kitchen storage cart with lockable wheels and a handle for easy maneuverability, ideal for organizing supplies in various settings." +"Mimoglad Office Chair, High Back Ergonomic Desk Chair with Adjustable Lumbar Support and Headrest, Swivel Task Chair with flip-up Armrests for Guitar Playing, 5 Years Warranty",https://m.media-amazon.com/images/I/414jZL4tnaL._SS522_.jpg,With arms,Foam,Beige,https://www.amazon.com/dp/B0C2YQZS69,"['office chair', 'high back', 'ergonomic', 'adjustable lumbar support', 'headrest', 'swivel', 'flip-up armrests', 'mesh', 'wheeled base']","This Mimoglad Office Chair is designed with ergonomics in mind to provide comfort during long working hours. It features a high back that supports the natural curvature of the spine, and it is equipped with an adjustable lumbar support to reduce back strain. The headrest at the top of the chair offers additional support for the neck, making it ideal for extended periods of sitting. + +The chair is upholstered in a light green fabric that is both stylish and breathable, which is especially beneficial for maintaining comfort and air circulation. Its armrests are designed to flip up, allowing the user to play guitar or perform other activities where arm movement is essential without obstruction. + +The chair's frame and base are finished in white, giving it a clean and modern appearance that can easily blend with various office decors. It stands on a five-point caster wheelbase for easy mobility and stability. The height of the chair can be adjusted to accommodate different desk heights and user preferences. + +With a 5-year warranty, this chair promises durability and long-term service, ensuring that it is a sound investment for any office or home workspace.","Ergonomic office chair with adjustable lumbar support and flip-up armrests, upholstered in light green fabric with a white frame, featuring a high back and neck-supporting headrest." +"Let the Adventure Begin Door Mat 17""x30"" Decorative Farmhouse Home Campsite Travel Trailer Cabin Indoor Outdoor Front Porch Door Mat,Funny Camping Welcome Mat Decor,Gifts for Campers Camping Lovers",https://m.media-amazon.com/images/I/51Zv2zReYCL._SS522_.jpg,Farmhouse,Rubber,,https://www.amazon.com/dp/B0C8SJSZYS,"['door mat', 'decorative', 'farmhouse', 'indoor', 'outdoor', 'striped', 'text']","This is a decorative door mat featuring an inspirational phrase ""Let the adventure begin"" in a stylized font, accented with arrow and heart designs. The mat measures 17 inches by 30 inches, making it a suitable size for a front porch or entryway. The design incorporates a farmhouse aesthetic with horizontal stripes in a palette of neutral and blue tones, which could complement a variety of home decors, particularly those with a rustic or outdoor theme. + +The mat is intended for both indoor and outdoor use, making it versatile for different settings such as a home, campsite, travel trailer, or cabin. Its design and message make it an appealing accessory for those who enjoy camping or traveling, and it could serve as a charming welcome to guests. Additionally, it could be considered as a thoughtful gift for campers or individuals who love the adventure lifestyle.","Decorative ""Let the adventure begin"" door mat with a farmhouse style, perfect for outdoor enthusiasts and travelers." +"1 Pack Adjustable Height Center Support Leg for Bed Frame,Bed Center Slat Heavy Extra Durable Steel Support Legs | Suitable for Bed Frame,Cabinet and Wooden Furniture",https://m.media-amazon.com/images/I/41ci+bNjHPL._SS522_.jpg,Straight,,1 Pack,https://www.amazon.com/dp/B09BVQZM3S,"['bed frame support leg', 'adjustable height', 'steel', 'durable']","The image displays an adjustable height center support leg designed for bed frames and other types of wooden furniture. This support leg is made from heavy-duty steel, ensuring durability and extra support. It features a broad, flat top bracket that can be mounted directly to the center slat of a bed frame or the underside of other furniture pieces for additional stability. + +The leg itself is telescopic, allowing for height adjustments to fit various furniture heights. This adjustability is achieved through a threaded rod mechanism that can be extended or retracted and then secured in place. At the base of the leg is a wide, circular foot with a black, non-marring pad to prevent damage to flooring and to enhance stability. + +The support leg is finished in a metallic color, likely chrome or stainless steel, which gives it a sleek, modern appearance. This item is typically used to prevent sagging in the middle of a bed or to reinforce other large furniture items that require additional support in the center. The image also shows a close-up of the adjustment mechanism and the base, providing a clear view of the product's components.","Adjustable height center support leg for bed frames and furniture, made from heavy-duty steel with a telescopic design for stability and floor protection." +Stylo Culture Traditional Cotton Patchwork Embroidered Ottoman Stool Pouf Cover Black Floral Seat 45 cm Seating Pouffe Case Bean Bag Home Decor,https://m.media-amazon.com/images/I/61-CBGZCsJL._SS522_.jpg,,Cotton,Black,https://www.amazon.com/dp/B0722V6KMX,,, +"Suptsifira Shoe storage box, 24 Packs Shoe Boxes Clear Plastic Stackable,Shoes Sneaker Container Storage Box, XL Shoe Boxes with Lids for Closet, Storage and Display(White)",https://m.media-amazon.com/images/I/51enKGSxK8L._SS522_.jpg,,Porcelain,White,https://www.amazon.com/dp/B0BZ85JVBN,,, +"Wellynap Computer Desk,31.5 inches Folding Table Computer Desk for Small Spaces Home Office, Gaming Desk Computer Table, No Install Needed, Modern Simple Style Laptop Table, Teak & Black",https://m.media-amazon.com/images/I/51pO-N48teL._SS522_.jpg,Modern,Wood,Teak & Black,https://www.amazon.com/dp/B0CFL2G31X,,, +"Smlttel Gold Clothing Rack With Shelves, Gold Coat Rack Freestanding with Marble Base, Coat Hanger Rack,Hat Tree Coat Rack Standing Clothes Racks for Boutique，Bedroom",https://m.media-amazon.com/images/I/41aRwocdfAL._SS522_.jpg,Modern,Metal,C gold,https://www.amazon.com/dp/B0B93TC1Z8,,, +"Franklin Sports NFL Storage Ottoman + Container - NFL Football Team Folding Organizer Bins - NFL Office, Bedroom + Living Room Décor - 14"" x 14""",https://m.media-amazon.com/images/I/31ptZB+wS-L._SS522_.jpg,Team Licensed Storage Ottoman with Detachable Lid,Fabric,Team Color,https://www.amazon.com/dp/B0787KRJ8S,,, +"Honey-Can-Do 3-Tier Nesting Bamboo Shoe Rack SHO-09492 Shoe Rack, Wooden Shoe Rack, 3 Tier Shoe Rack, Stackable Shoe Rack, Bamboo Shoe Rack,60 lbs",https://m.media-amazon.com/images/I/51GnnjKaVsL._SS522_.jpg,Shoe,,,https://www.amazon.com/dp/B08WRLKR7T,,, +"Furnistar 15.9 inch Modern Round Velvet Storage Ottoman with Gold Plating Base, Upholstered Footrest Makeup Stool for Bedroom Living Room, Grey(Ship from US)",https://m.media-amazon.com/images/I/31IBS5mzYSL._SS522_.jpg,Modern,Wood,Grey,https://www.amazon.com/dp/B0C4NT8N8C,,, +"AMHANCIBLE C Shaped Side Table, End Tables Set of 2 with Charging Station, Couch Tables That Slide Under with USB Port & Outlet, Snack Table for Living Room,TV Tray, Black, HET02BPBK",https://m.media-amazon.com/images/I/41qDAGoNCrL._SS522_.jpg,Straight Leg,Engineered Wood,Black,https://www.amazon.com/dp/B0BT9SVN1V,,, +LONGWIN Black Hanging Wall Round Mirror Decor Geometric Circle Mirror for Bathroom Bedroom Living Room 10.2inch,https://m.media-amazon.com/images/I/41kC6cU5HXS._SS522_.jpg,Modern,"Glass, Metal",Black,https://www.amazon.com/dp/B094F897P3,,, +"Need Fold Wall Mounted Workbench Folding Wall Table Length 47.2"" Width 20"" Perfect Addition to Garage & Shed/Home Office/Laundry Room/Home Bar/Kitchen & Dining Room",https://m.media-amazon.com/images/I/31SqvdFCutL._SS522_.jpg,Modern,Metal,Teak Color Desktop & Warm White Folding Brackets,https://www.amazon.com/dp/B00UV7B29A,,, +"Big Joe Fuf XL Cover Only Machine Washable, Gray Plush, Soft Polyester",https://m.media-amazon.com/images/I/21ysztDdCYL._SS522_.jpg,Plush,,Grey,https://www.amazon.com/dp/B08T7JP8ZN,,, +"Plymor Rectangle 5mm Beveled Glass Mirror, 6 inch x 12 inch (Pack of 6)",https://m.media-amazon.com/images/I/31wigA5chuL._SS522_.jpg,,Glass,Silver,https://www.amazon.com/dp/B09F3SGZ8Y,,, +TIMCORR CD Case DVD Holder Storage: 144 Capacity DVD Cases Organizer Portable Wallet Storage - CD Plastic Protective Carrying Binder for Home Travel (Black),https://m.media-amazon.com/images/I/411Q2ETwelL._SS522_.jpg,Portable,EVA + PVC + PP + Non-woven fabric,Black,https://www.amazon.com/dp/B0B19ZGGXC,,, +Ginger Cayden Closed Towel Ring - 4905/SN - Satin Nickel,https://m.media-amazon.com/images/I/31LNv7QILdL._SS522_.jpg,,Brass,Satin Nickel,https://www.amazon.com/dp/B00U0ECLG2,,, +"Brightify Black Bathroom Mirrors for Wall, 24 x 36 Inch Rectangle Bathroom Mirrors for Vanity Black Metal Framed Anti-Rust, Matte Black Mirror for Farmhouse Hallway Wall Decor, Horizontal or Vertical",https://m.media-amazon.com/images/I/510A0nIdGZL._SS522_.jpg,Modern,Aluminum,Black,https://www.amazon.com/dp/B0C2HNGCRX,,, +"SogesHome Wood Corner Cabinet Wall Corner Storage Cabinet, Storage Display Table Stand Cabinet, with Doors and Open Shelf, for Small Places, Living Room, White&Teak",https://m.media-amazon.com/images/I/41BTUFVwm+L._SS522_.jpg,Open Frame,,White&teak,https://www.amazon.com/dp/B0C3B4D4RH,,, +Toy Storage for Lego Play Mat Bag - Duplo Toy Organizer Storage Bag by Drawstring for Kids Tidy Toy with Lips can as Gift (Orange 47 inch),https://m.media-amazon.com/images/I/51KKvmDCqBL._SS522_.jpg,,Nylon,Orange,https://www.amazon.com/dp/B0B4CL1M1M,,, +Flash Furniture Jefferson 2 Pk. Contemporary Brown Vinyl Adjustable Height Barstool with Panel Back and Chrome Base,https://m.media-amazon.com/images/I/41GYYVLfGjL._SS522_.jpg,Contemporary,,Brown,https://www.amazon.com/dp/B00FEAN1SY,,, +"Hong Art- Metal Mirror-Matt Black,Glass Panel Black Framed Rounded Corner,Mirrored Rectangle Hangs Horizontal or Vertical,MR2001BK1，11.8"" 15.74""",https://m.media-amazon.com/images/I/31XytAHobHL._SS522_.jpg,Classic,Metal,Black,https://www.amazon.com/dp/B08GSH4KVM,,, +"Convenience Concepts American Heritage Round End Table, Pink",https://m.media-amazon.com/images/I/311rmB9BDWL._SS522_.jpg,Round End Table,"Solid + Manufactured Wood,Particle Board/Chipboard",Pink,https://www.amazon.com/dp/B01B65BYYI,,, +Flash Furniture Diamond Black Vinyl Luxurious Conference Chair with Accent Nail Trim,https://m.media-amazon.com/images/I/41LYsAMww6L._SS522_.jpg,Fixed,Foam,Black Vinyl,https://www.amazon.com/dp/B000TMHWGO,,, +"Gatco 1918, Modern Rectangle Waste Basket, Matte Black / 11.25"" H Open Top Stainless Steel Trash Can with Removable Lid, 12 Liter Capacity",https://m.media-amazon.com/images/I/31dnAVaEmvL._SS522_.jpg,Rectangle,Stainless Steel,Matte Black,https://www.amazon.com/dp/B07TXMJ5FQ,,, +"Winrise Office Chair Ergonomic Desk Chair, High Back Gaming Chair, Big and Tall Reclining chair Comfy Home Office Desk Chair Lumbar Support Breathable Mesh Computer Chair Adjustable Armrests(B-Orange)",https://m.media-amazon.com/images/I/41hCFaVIC+L._SS522_.jpg,Straight,Sponge,S-black,https://www.amazon.com/dp/B0CGQZBCZP,,, +"Adeco Euro Style Fabric Arm Bench Chair Footstool Cubic Ottomans, Brown",https://m.media-amazon.com/images/I/41hUc8c+DCL._SS522_.jpg,Modern,Engineered Wood,Brown,https://www.amazon.com/dp/B017TNJR72,,, +"Motiv 0202/PC Sine 18-In Towel Bar, Polished Chrome,,18"" Towel Bar",https://m.media-amazon.com/images/I/31a6GfenW0L._SS522_.jpg,,Brass,"18"" Towel Bar",https://www.amazon.com/dp/B001AS8D82,,, +"Imports Décor PVC Backed Coir Doormat, Eighth Note Welcome, 18""x30""",https://m.media-amazon.com/images/I/51H9lDOICrL._SS522_.jpg,Art Deco,Vinyl,Black and Beige,https://www.amazon.com/dp/B08WF83LMF,,, +"Croydex Chester Square Flexi-Fix Wall Mounted Bathroom Tilt Mirror, 14.96in x 14.96in x 3.4in, Chrome",https://m.media-amazon.com/images/I/41sDO1HW2cL._SS522_.jpg,,,Silver,https://www.amazon.com/dp/B09DGFRM4B,,, +itbe Easy Fit Ready-to-Assemble Multipurpose One Door Wall Steel Cabinet Space Organizer (Blue),https://m.media-amazon.com/images/I/21NWASZgUVL._SS522_.jpg,Flat Panel,Alloy Steel,Blue,https://www.amazon.com/dp/B09FR4XSCT,,, +Delta ARV18-DN Arvo 18-in Wall Mount Towel Bar with 6-in Extender Bath Hardware Accessory in Brushed Nickel,https://m.media-amazon.com/images/I/11zzs81fXBL._SS522_.jpg,"18"" Towel Bar with 6"" Extender",Multiple Base Materials,Spotshield Brushed Nickel,https://www.amazon.com/dp/B09LVSZRZS,,, +"Bamboo Waste Basket | Waste Basket for Bathroom | Waste Basket for Office | Bathroom Trash Can | Bedroom Trash Can | Trash Can Small Wastebasket Bamboo Decor (1, 12"" x 6.5"" x 15.3"")",https://m.media-amazon.com/images/I/318RY00VlIL._SS522_.jpg,,,,https://www.amazon.com/dp/B08VWTB8CH,,, +Way Basics Vinyl Record Storage - 2 Tier Book Shelf Turntable Stand (Fits 170 Albums),https://m.media-amazon.com/images/I/41YMttt7a5L._SS522_.jpg,Modern,Recycled Material,White,https://www.amazon.com/dp/B075M1PKSW,,, +"TocTen Double Bath Towel Bar - Thicken SUS304 Stainless Steel Towel Rack for Bathroom, Bathroom Accessories Double Towel Rod Heavy Duty Wall Mounted Square Towel Holder (Matte Black,24 INCH)",https://m.media-amazon.com/images/I/41cFJKXyA5L._SS522_.jpg,,Stainless Steel,Matte Black,https://www.amazon.com/dp/B0BWRVGQRM,,, +"MoNiBloom Adjustable Bar Stools Set of 2, 360° Swivel Counter Height Barstool Kitchen Counter Island Dining Chair, Dark Grey PU Leather Bistro Swivel Stool for Living Room Kitchen, 250 lbs Capacity",https://m.media-amazon.com/images/I/41jD28iN4bL._SS522_.jpg,Straight,,Dark Grey,https://www.amazon.com/dp/B0CB7SG59J,,, +"LANTEFUL Shoe Rack Organizer Shoe Storage Cabinet 8 Tiers 32 Pair Portable Shoe Storage Sturdy Plastic Black Shoe Shelf with Hooks Shoe Rack with Door for Entryway, Bedroom and Hallway",https://m.media-amazon.com/images/I/51e8SrHHW3L._SS522_.jpg,free standing shoe racks,,Black,https://www.amazon.com/dp/B0C3QDL2XW,,, +"ANDY STAR 24x32 INCH Brushed Nickel Mirror, Rounded Rectangle Silver Metal Framed Mirrors for Bathroom Anti-Rust SUS304, Tube Metal Frame, 1’’ Deep Wall Mounted Vertically/Horizontal",https://m.media-amazon.com/images/I/41MQWfATggL._SS522_.jpg,,Stainless Steel,Brushed Nickel,https://www.amazon.com/dp/B0CBRGS5D7,,, +"MJL Furniture Designs Upholstered Cubed/Square Olivia Series Ottoman, 17"" x 19"" x 19"", Smoke Grey",https://m.media-amazon.com/images/I/410tv-zDYXL._SS522_.jpg,Contemporary,Wood,Smoke Grey,https://www.amazon.com/dp/B01D378FYE,,, +Cpintltr Small Foot Stool Ottoman Modern Accent Step Stool Seat with Solid Wood Legs Velvet Soft Padded Pouf Ottomans Sofa Footrest Stools for Couch Living Room Bedroom Entryway (Green 2 PCS),https://m.media-amazon.com/images/I/51CjfUJVuLL._SS522_.jpg,,Pine,Green,https://www.amazon.com/dp/B0CKPFKDZY,,, +"YuiHome Extendable Round, Farmhouse 16"" Leaf Table for Dining Room, Kitchen,Natural Wood Wash",https://m.media-amazon.com/images/I/5175Qzg03LL._SS522_.jpg,Farmhouse,"Rubber Wood, Engineered Wood",Natural Wood Wash,https://www.amazon.com/dp/B0CHVQ6BC5,,, +"Ergonomic Office Chair,Office Chair, with Lumbar Support & 3D Headrest & Flip Up Arms Home Office Desk Chairs Rockable High Back Swivel Computer Chair White Frame Mesh Study Chair（All Black）",https://m.media-amazon.com/images/I/51vnoZERmPL._SS522_.jpg,With arms,Foam,All Black,https://www.amazon.com/dp/B0CBBV4S1P,,, +"Kate and Laurel Celia Round Metal Foldable Accent Table with Tray Top, Black",https://m.media-amazon.com/images/I/31ZMqrgDD8L._SS522_.jpg,Modern,Iron,Black,https://www.amazon.com/dp/B084WLY61H,,, +"Lizipai Floating Bedside Table, No Assembly Required,Night Stand with Drawer, 19"" X 13"" X 5.9"", White",https://m.media-amazon.com/images/I/41HBX6be98L._SS522_.jpg,no,Wood,White,https://www.amazon.com/dp/B09NBWCTDS,,, +"CordaRoy's Chenille Bean Bag Ottoman Footstool, 26"" x 17"", Rainforest",https://m.media-amazon.com/images/I/51HpCirQNAL._SS522_.jpg,Modern,Engineered Wood,Rainforest,https://www.amazon.com/dp/B0BSZ96YG7,,, +"Plebs Home Solid Desktop Store Cart, with Rubber Wood Countertop, Island has 8 Handle-Free Drawers, Including a Flatware Organizer and 5 Wheels, for Dining, Kitchen, Living Room-Dark Blue, 53.15 Inch",https://m.media-amazon.com/images/I/51WFQwBEqjL._SS522_.jpg,Slab,Wood,Dark Blue,https://www.amazon.com/dp/B0CD7FSWMK,,, +"ErGear Ergonomic Desk Chair, Office Chair with 2'' Adjustable Lumbar Support, Computer Chair with Flip-Up Armrests & Headrest, High Back Office Desk Chair with 4'' Thicken Seat for Home Office, Black",https://m.media-amazon.com/images/I/41C4FUmS-hL._SS522_.jpg,With arms,Memory Foam,Black,https://www.amazon.com/dp/B0C99D3V15,,, +"Kingston Brass Millennium Towel-Ring, 7.63"", Oil Rubbed Bronze",https://m.media-amazon.com/images/I/31+kzwXTjxS._SS522_.jpg,,Brass,Oil Rubbed Bronze,https://www.amazon.com/dp/B00FM0WG7I,,, +"Homebeez 18.9"" Round Velvet Storage Ottoman Multi-Function Vanity Stool Footrest with Storage for Bedroom/Living Room,Orange",https://m.media-amazon.com/images/I/51vTxE-9lHL._SS522_.jpg,Modern,Wood,Orange,https://www.amazon.com/dp/B09DKG6JDN,,, +Mickey and Friends Collapsible Nylon Basket Bucket Toy Storage Tote Bag,https://m.media-amazon.com/images/I/410mEc5bblL._SS522_.jpg,,,,https://www.amazon.com/dp/B0B7Q5LB2C,,, +Homepop Home Decor | Backless Nailhead Trim Counter Height Bar Stools | 24 Inch Bar Stools | Decorative Home Furniture (Blue Tweed),https://m.media-amazon.com/images/I/41HPIScA4sL._SS522_.jpg,Contemporary,,Blue,https://www.amazon.com/dp/B01LWPSVUW,,, +"Camco Life Is Better at The Campsite Outdoor & Indoor Welcome Mat - Weather and Doormat | Traps Dirt and Liquid | Spongey Comfortable Feel | Measures 26 ½ "" x 15"" - Blue (53201) - 53201-A",https://m.media-amazon.com/images/I/51DN2is3ZjL._SS522_.jpg,Outdoor & Indoor,Rubber,Blue,https://www.amazon.com/dp/B07D7RQNJV,,, +MoNiBloom Round Folding Faux Fur Saucer Chair for Bedroom Living Room Dorm Courtyard Foldable Metal Frame Oversized Large Comfy Furry Padded Soft Lounge Lazy Cozy Moon Chair for Adults (Burgundy),https://m.media-amazon.com/images/I/41eoFKL3gKL._SS522_.jpg,Modern,Polyester,Burgundy,https://www.amazon.com/dp/B0CD7TH3BF,,, +"YMYNY Vanity Stool Chair with Storage, Square Velvet Ottoman Foot Stool, Modern Multifunctional Makeup Stool for Bedroom, Living Room, Office, Gold Legs, 18.9 * 15.75 * 11.6"", Dusty Blue, UHBD024G",https://m.media-amazon.com/images/I/519Am3LPMvL._SS522_.jpg,Modern,,Dusty Blue,https://www.amazon.com/dp/B0C1NSNDW2,,, +"Casual Home 5 Piece Tray Table Set, Espresso",https://m.media-amazon.com/images/I/41WweDJqgZL._SS522_.jpg,Tray Table Set,Wood,Espresso,https://www.amazon.com/dp/B0069H9BYO,,, +"Simplify Hanging Grey 20-Pocket Shoe Boho Closet Storage Organization | Dimensions: 0.25"" x 22"" x 54"" | Hangs on Door| Closet | 20 Pockets | Grey | Closet Organization",https://m.media-amazon.com/images/I/41eYiOqsldL._SS522_.jpg,,80% Linen printed nonwoven +20% solid nonwoven+ 20%PAPERBOARD,Grey,https://www.amazon.com/dp/B09J1RM23P,,, +"Get Set Style Black Glass Side Table, Square Glass End Table Modern Coffee Table with Storage, Glass Mirrored Table for Living Room, Balcony, Bedroom, Office",https://m.media-amazon.com/images/I/51gG6ukN1nL._SS522_.jpg,Modern and Elegant,Tempered Glass,Shiny Black,https://www.amazon.com/dp/B0C5DH6ZY6,,, +"Watson & Whitely Swivel Bar Stools Set of 2, Faux Leather Upholstered Counter Height Barstool with Back, 26"" H Seat Height Counter Stools with Solid Wood Legs (Black)",https://m.media-amazon.com/images/I/41nDc6aFKoL._SS522_.jpg,Modern,,Black,https://www.amazon.com/dp/B0CKQTTZ5V,,, +Sweet Jojo Designs Boho Rainbow Girl Ottoman Pouf Cover Unstuffed Poof Floor Footstool Square Cube Pouffe Storage Baby Nursery Kids Room Blush Pink Yellow Bohemian Modern Neutral Vintage Taupe Beige,https://m.media-amazon.com/images/I/31nn4NwuKfL._SS522_.jpg,Shabby Chic,Engineered Wood,Multi Color,https://www.amazon.com/dp/B0BZJYM4Q6,,, +"Pekokavo Sofa Arm Clip Tray, Side Table for Remote Controls/Drinks/Gamepads Holder (Bamboo)",https://m.media-amazon.com/images/I/51yz-83kj+L._SS522_.jpg,Modern,Bamboo,Bamboo,https://www.amazon.com/dp/B08SL4GH7G,,, +"Caroline's Treasures JMA2013HRM2858 Seaweed Salad Mahi Indoor/Outdoor Runner Mat 28x58,",https://m.media-amazon.com/images/I/514qJ5aPtbL._SS522_.jpg,Modern,Rubber,Multicolored,https://www.amazon.com/dp/B07SPYM4M5,,, +"Xchouxer Side Tables Natural Bamboo Sofa Armrest Clip-On Tray, Ideal for Remote/Drinks/Phone (Round)",https://m.media-amazon.com/images/I/511LXRAxI+L._SS522_.jpg,Modern,Bamboo,Beige,https://www.amazon.com/dp/B08FC5HPBS,,, +"Montessori Learning Toddler Tower, Foldable Toddler Step Stool Kitchen Stool Helper for Kids, 4 in 1 Toddler Kitchen Step Stool Helper Standing Tower, Kids Step Stool with Chalkboard & Safety Rail",https://m.media-amazon.com/images/I/51n9ojprZEL._SS522_.jpg,Modern,Wood,Wood,https://www.amazon.com/dp/B0CKMRJ1H9,,, +"PAK HOME Set of 2 High Gloss Brown Marble Look End Tables Round Wood Sofa Side Coffee Tables for Small Spaces, Nightstand Bedside Table for Bedroom, Living Room, Office",https://m.media-amazon.com/images/I/51u3oxvEiSL._SS522_.jpg,Tripod,Wood,Brown Marble High Gloss / Gold Legs,https://www.amazon.com/dp/B09K3MYL91,,, +kukli kitchen Spring Door Mat 30 X 17 Inch - Spring Floral Welcome Doormat Indoor Outdoor Entrance Patio Floor Mat Non Slip Durable Spring Decor Rubber Mats,https://m.media-amazon.com/images/I/61rRHgR+aEL._SS522_.jpg,Classic,Rubber,Color-33,https://www.amazon.com/dp/B0BNL8CC5X,,, +"Dewhut Oversized Pumpkin Couch Accent Chair, Modern Comfy Velvet Upholstered Barrel Chairs, Luxury Single Sofa Armchair for Living Room, Waiting Room, Office and Vanity, (Navy)",https://m.media-amazon.com/images/I/519KoH2aW4L._SS522_.jpg,Modern,Sponge,Navy,https://www.amazon.com/dp/B0CF8HTCS4,,, +Toland Home Garden 800009 Gypsy Garden Flower Door Mat 18x30 Inch Outdoor Doormat for Entryway Indoor Entrance,https://m.media-amazon.com/images/I/61gTdPHg5QS._SS522_.jpg,Outdoor & Indoor,Rubber,,https://www.amazon.com/dp/B00PNJAACG,,, +"Sintosin Vintage Oval Mirrors for Wall Decor 11 inch, Hanging Farmhouse Wood Entryway Mirror, Distressed White Rustic Scalloped Mirror Wall Decor, Ornate Accent Sculpted Mirror for Living Room",https://m.media-amazon.com/images/I/41NiOP0+4jL._SS522_.jpg,Shabby Chic,Wood,Oval,https://www.amazon.com/dp/B0BWJLZF5G,,, +"BEWISHOME Vanity Stool, Bedroom Vanity Chair with Upholstered Seat, Desk Stool Piano Stool Soft Cushioned Stool, Square 18” Height Makeup Bench, Piano Bench Vanity Bench Capacity 300lb Black FSD06H",https://m.media-amazon.com/images/I/410emoPl2kL._SS522_.jpg,Modern,,Black,https://www.amazon.com/dp/B0B6FML1VS,,, +"Children's Factory School Age High Back Lounger Kids Bean Bag Chair, Flexible Seating Classroom Furniture for Homeschools/Playrooms/Daycares, Blue/Red",https://m.media-amazon.com/images/I/51ORnRyifRL._SS522_.jpg,Single Seat,,Blue-red,https://www.amazon.com/dp/B00740P05Y,,, +"FLYJOE Shoe Rack Bench, 3-Tier Freestanding Wooden Shoe Organizer with Seat, Entryway Bench, Storage Shelf for Kitchen Living Room Bathroom Bedroom, Walnut",https://m.media-amazon.com/images/I/51WQiiIyuSL._SS522_.jpg,,,Rustic Walnut,https://www.amazon.com/dp/B0CN8NXR1Q,,, +"FLYZC Counter Height Bar Stools Set of 4, Stools for Kitchen Island Set of 4, 24 Inch Counter Height Stools Saddle Barstools Stools for Kitchen Counter Pub Bar Dining Room Support 300 LBS(Grey)",https://m.media-amazon.com/images/I/51jw0SXQMWL._SS522_.jpg,Straight,,Grey & Black,https://www.amazon.com/dp/B0CH862BV2,,, +SITMOD Gaming Chairs for Adults with Footrest-Computer Ergonomic Video Game Chair-Backrest and Seat Height Adjustable Swivel Task Chair with Lumbar Support(Gray)-Fabric,https://m.media-amazon.com/images/I/41bntfm39UL._SS522_.jpg,With arms,Memory Foam,Grey,https://www.amazon.com/dp/B0B3HM3FTZ,,, +"CM Cosmos Stuffed Animal Storage Bean Bag Chair Stuffable Zipper Beanbag Stuff and Sit Bean Bag for Organizing Soft Plush, Size 22.5'', with Handle",https://m.media-amazon.com/images/I/41XEtwrKqoL._SS522_.jpg,,,Grey & White,https://www.amazon.com/dp/B07JCPZDSL,,, +"Cionyce 4 Pcs Sectional Couch Connectors, Pin Style Furniture Connector Sectional Sofa Connector Bracket(Black)",https://m.media-amazon.com/images/I/41sejv2mO6L._SS522_.jpg,,,,https://www.amazon.com/dp/B09V6RSWSR,,, +"Tiita Saucer Chair with Ottoman, Soft Faux Fur Oversized Folding Accent Chair,Lounge Lazy Chair, Metal Frame Moon Chair for Bedroom, Living Room, Dorm Rooms, Garden and Courtyard",https://m.media-amazon.com/images/I/51C5YkDdUyL._SS522_.jpg,Garden,,Beige With Ottoman,https://www.amazon.com/dp/B0BWDJ8NSM,,, +Grandmother Birthday Gifts Compact Makeup Mirror for Glamma for Grandma Grandma Gifts from Grandchildren Folding Makeup Mirror for Nana Christmas Thanksgiving Gifts,https://m.media-amazon.com/images/I/417J95lDDaL._SS522_.jpg,,Stainless Steel,For Grandmother,https://www.amazon.com/dp/B0C289KQNK,,, +"GIA 24-Inch Counter Height Square Backless Metal Stool with Holstein Cow Print Upholstery, Black, Qty of 2",https://m.media-amazon.com/images/I/414M2Vz5YjL._SS522_.jpg,Straight,,Black,https://www.amazon.com/dp/B0B75Z1T2H,,, +Vintage Desktop Apothecary Cabinet with 3 Drawers - Solid Wood Medicine Cabinet for Tabletop - Rustic Card Catalog Drawers with Label Holders - Desktop Chest Drawer for Storage and Organization,https://m.media-amazon.com/images/I/41yz4PMNd0L._SS522_.jpg,"drawer,wood",Wood,Mahogany Wood Brown,https://www.amazon.com/dp/B0B24KQJS9,,, +"WAYTRIM Dresser Storage Tower, 4 Fabric Organizer Drawers, Wide Chest of Drawers for Closet Boys & Girls Bedroom, Bedside Furniture, Steel Frame, Wood Top, Fabric Bins, Easy Installation (Camel)",https://m.media-amazon.com/images/I/41DfHAtQUKL._SS522_.jpg,Modern,,Camel,https://www.amazon.com/dp/B07W56HHX5,,, +"Power Recliner Power Supply Kit-4-Piece Universal Dual Power Supply Transformer with AC Power Cord, DC Extension Cable and Y Splitter Cord 29V 2A Adapter for Recliner, Lift Chairs and Sofa",https://m.media-amazon.com/images/I/51N6Zq4kxxL._SS522_.jpg,,,,https://www.amazon.com/dp/B0BHVLGGYL,,, +"Anna Stay Wine Rack Wall Mounted - Decorative Wine Rack with Wine Glass Holder, Wall Mounted Wine Rack inc Cork Storage & Wine Charms, Wine Gifts with Wine Bottle Holder for Wine Decor",https://m.media-amazon.com/images/I/51K1wX04DXL._SS522_.jpg,Modern,,Wine Gold,https://www.amazon.com/dp/B09ZQM2FX3,,, +"Lufeiya Small Computer Desk with 2 Drawers for Bedroom, 31 Inch Home Office Desk with Storage Fabric Drawer and Bag, Study Writing Table for Small Spaces, Rustic Brown",https://m.media-amazon.com/images/I/41zNNJV-QUL._SS522_.jpg,Country Rustic,Engineered Wood,Rustic Brown,https://www.amazon.com/dp/B0CB5G1BHX,,, +"Watson & Whitely Swivel Bar Stools Set of 2, Fabric Upholstered Counter Height Barstool with Back, 26"" H Seat Height Counter Stools with Solid Wood Legs (White (Multi-Colored))",https://m.media-amazon.com/images/I/41IWqaJGuWL._SS522_.jpg,Modern,,White (Multi-colored),https://www.amazon.com/dp/B0BV6KR1T7,,, +"Adeco Large Square Storage Ottoman Bench, Tufted Upholstered Coffee Table Footstool Footrest with Wood Legs for Living Room Bedroom, Orange Brown",https://m.media-amazon.com/images/I/31HEdjZpCbL._SS522_.jpg,Mid-Century Modern,Wood,Orange Brown,https://www.amazon.com/dp/B0C6XNNL9M,,, +"New Classic Furniture Evander Wood End Table with Drawer and Storage, Two Tone Cream/Brown",https://m.media-amazon.com/images/I/51TJVV3sRqL._SS522_.jpg,Contemporary,Wood,Two Tone Cream/Brown,https://www.amazon.com/dp/B0B6YR22H1,,, +"Lipper International Wooden Storage Crate, white 14"" x 12 1/2"" x 11""",https://m.media-amazon.com/images/I/31MZPtCF0RL._SS522_.jpg,,,,https://www.amazon.com/dp/B07MZRYQ2X,,, +"Amazon Basics Kids Adjustable Mesh Low-Back Swivel Study Desk Chair with Footrest, Red",https://m.media-amazon.com/images/I/41bsjzUI6NL._SS522_.jpg,Mesh,,Red,https://www.amazon.com/dp/B0BHF9PPJC,,, +"Joovy Coo Bassinet, Portable Bassinet with Storage, Rocking Playpen, Gray",https://m.media-amazon.com/images/I/41UOfS3JmkL._SS522_.jpg,,fabric,,https://www.amazon.com/dp/B07NFSLLCG,,, +"Halatua 6ftlarge Fur Bean Bag Cover Lazy Sofa Chair Living Room Large Circular Soft Fluffy Artificial Fur unfilled Bean Bag (SnowBlue, 7FTD70.8inchH35.4inch)",https://m.media-amazon.com/images/I/51-utQ4pnbL._SS522_.jpg,,Polyester,Snowblue,https://www.amazon.com/dp/B0C7L8GGJF,,, +"Flash Furniture Walker Small Rustic Natural Home Office Folding Computer Desk - 36""",https://m.media-amazon.com/images/I/31QOFqtaHJL._SS522_.jpg,Sled,Engineered Wood,Rustic,https://www.amazon.com/dp/B08JWJTZ1Y,,, +BOKKOLIK Vintage Bar Stools Swivel PU Seat 29-37inch Height Adjustable Extral Tall Bicycle Stool with Bikepedal Kitchen Island Counter Stool Shop Chairs,https://m.media-amazon.com/images/I/41PjcPoHTLL._SS522_.jpg,Soft PU Seat,,Dark Brown,https://www.amazon.com/dp/B0BG7MX77T,,, +"Nalupatio Storage Ottoman, Bedroom End Bench，Upholstered Fabric Storage Ottoman with Safety Hinge, Entryway Padded Footstool, Ottoman Bench for Living Room & Bedroom(Light Green)",https://m.media-amazon.com/images/I/31+6K0TbdpL._SS522_.jpg,Modern,Wood,Light Green,https://www.amazon.com/dp/B0C48X7JQB,,, +"Homevany Bamboo Wine Rack,4 Tier, Wine Bottle Holder, Hold 16 Bottles for Home Kitchen, Dinging Room, Pantry, Cabinet, Bar",https://m.media-amazon.com/images/I/51DO5hfgdKL._SS522_.jpg,Modern,,Brown,https://www.amazon.com/dp/B08T8ZRZ1F,,, +"Armen Living Julius 30"" Cream Faux Leather and Walnut Wood Bar Stool",https://m.media-amazon.com/images/I/31v34T0kgnS._SS522_.jpg,Straight,,Cream/Walnut,https://www.amazon.com/dp/B0961N94SZ,,, +"WONSTART Vanity Mirror with Lights, 50 x 41cm Hollywood Lighted Makeup Mirror with 15 Dimmable Lights, Make up Mirror with Lighting, Wall Mount or Tabletop Mirror for Bedroom (Silver)",https://m.media-amazon.com/images/I/41k7g8oo6bL._SS522_.jpg,Modern,"Aluminum, Glass",Silver,https://www.amazon.com/dp/B0C2VF2S6R,,, +Cpintltr Velvet Foot Rest Stool Multipurpose Dressing Stools Upholstered Round Storage Ottoman Modern Soft Vanity Chair with Memory Foam Seat Dusty Pink,https://m.media-amazon.com/images/I/51K84REZCGL._SS522_.jpg,Modern,Wood,Dusty Pink,https://www.amazon.com/dp/B0CH34CCLV,,, +"uxcell Shredded Memory Foam Filling, 10 Pounds Bean Bag Filler Foam for Bean Bag Chairs, Cushions, Sofas, Pillows and More - Multi Color",https://m.media-amazon.com/images/I/51i6LeHlc9L._SS522_.jpg,,,,https://www.amazon.com/dp/B0C4DWRF3M,,, +"FAMSINGO Ergonomic Mesh Office Chair, High Back Comfortable Desk Chair with Adjustable Lumbar Support, Headrest and Flip-up arms, Wide Memory Foam Seat, Executive Swivel Chair(Black)",https://m.media-amazon.com/images/I/41Jm-GtY+5L._SS522_.jpg,With arms,Memory Foam,Black,https://www.amazon.com/dp/B0CBBMQPVC,,, +"Serta Style Hannah II Office Chair, Harvard Pink Microfiber",https://m.media-amazon.com/images/I/41XQ7R6j7lL._SS522_.jpg,with-arms,Foam,Harvard Pink,https://www.amazon.com/dp/B07667648L,,, +"Christmas 3D Illusion Doormat, Non-Slip Visual Door Mat,3D Stereo Floor Mat for Christmas Decoration Indoor and Outdoor, Hallway, Entrance, Kitchen, Bathroom(50 * 80/60 * 90CM)",https://m.media-amazon.com/images/I/51uOa02x4HL._SS522_.jpg,Classic,棉质,Red,https://www.amazon.com/dp/B0CC28VDSV,,, +"Narrow Console Table with Power Strips, Sofa Table with Storage Shelves for Living Room, 2-Tier Foyer Table for Entryway, Hallway, Behind Couch, Kitchen Counter, 39'', Black & White",https://m.media-amazon.com/images/I/51FRxl-qgFL._SS522_.jpg,Sofa Table with Outlets,MDF Board and Metal,Black,https://www.amazon.com/dp/B0BSHFVY3J,,, +"AnRui Folding Floor Chair with Adjustable Back Support, Comfortable, Semi-Foldable, and Versatile, for Meditation, Seminars, Reading, TV Watching or Gaming, Suitable for Home Or Office",https://m.media-amazon.com/images/I/51iuIrMVq+L._SS522_.jpg,Solid Back,Foam,Stripe,https://www.amazon.com/dp/B08QRF4TTL,,, +"sogesfurniture 5 Tier Free Standing Wooden Shoe Storage Shelf Shoe Organizer, 29.5 inches Shoe Rack Shoe Organizer Storage Cabinet for Entryway, Living Room, Hallway, Doorway, Black",https://m.media-amazon.com/images/I/51j2v3ij2uL._SS522_.jpg,Modern,Engineered Wood,,https://www.amazon.com/dp/B07WLK9TNS,,, +"fengxiaomin-Plastic Bed Slat End Caps Holders Plastic End Caps Holders Plastic Black End Caps Holders Suitable for Single, Double, King and Queen beds (55mm*9mm Black) -12pcs",https://m.media-amazon.com/images/I/41gvi7RjrZL._SS522_.jpg,,,,https://www.amazon.com/dp/B0CNVJ24YF,,, +"MoNiBloom Massage Gaming Recliner Chair with Speakers PU Leather Home Theater Seating Single Bedroom Video Game Sofa Recliners Ergonomic Gaming Couch with Detachable Neck Support and Footrest, Green",https://m.media-amazon.com/images/I/41Md8gR4YYL._SS522_.jpg,Modern,,Green,https://www.amazon.com/dp/B0BZKMYST2,,, +"SUNSLASH Wall Mounted Mirror, Arched Wall Mirror for Bathroom, 36""x24"" Arch Bathroom Mirror with Metal Frame, Black Vanity Mirror Decor for Mantle, Bedroom, Entryway, Living Room",https://m.media-amazon.com/images/I/41nGiqXS+5L._SS522_.jpg,,Aluminum,Black（arched）,https://www.amazon.com/dp/B0BP9QYFTL,,, +"Allied Brass Carolina Crystal Collection Frameless Oval Tilt Beveled Edge Wall Mirror, Antique Brass",https://m.media-amazon.com/images/I/21+UCtQ6p9L._SS522_.jpg,Antique,Brass,Antique Brass,https://www.amazon.com/dp/B07ZSF42WD,,, +"Home Source 40.7' Elegance Bar Server and Wine Glass Cabinet, 12-Bottle Wine Rack, Rollers for Mobility, and Interior Drawer (Walnut)",https://m.media-amazon.com/images/I/41nYPK8XbrL._SS522_.jpg,Fluted shape,Walnut Wood,Walnut,https://www.amazon.com/dp/B0CN1LGXNP,,, +"Shintenchi 60"" Small Loveseat, 3 in 1 Cute Convertible Sofa Bed, Modern Futon Recliner Sleeper w/2 Cup Holder, Upholstered Folding Couch for Small Space, Dark Gray",https://m.media-amazon.com/images/I/41SkpIbGdQL._SS522_.jpg,Pillow-Top,Wood,Dark Gray,https://www.amazon.com/dp/B0CMTHD198,,, +"King Mattresses Bag for Moving Storage Protector, Waterproof Reusable Mattress Cover with Heavy Duty 8 Handles Water Resistant Zipper Closure and 2 Adjustable Straps, Bright Blue",https://m.media-amazon.com/images/I/41ye8pFDZ9L._SS522_.jpg,,,,https://www.amazon.com/dp/B0CN44TTFJ,,, +"sawsile Asymmetrical Wall Mirror,Unique Gold Vintage Baroque Vanity Mirror,18.7x24 Mid Century Modern Decor Irregular Mirror for Living Room, Bedroom,Bathroom",https://m.media-amazon.com/images/I/41G-NEOXwfL._SS522_.jpg,,"Wood, Iron",Gold,https://www.amazon.com/dp/B0CDWH5PQP,,, +"Leather At Home, Decorative 13 Inch Rounded Pillow Handmade from Full Grain Leather - Chair Seat, Confortable Sitting for Round Wooden/Metal Stools - Bourbon Brown",https://m.media-amazon.com/images/I/51ePbFDPNRL._SS522_.jpg,Classic,Leather,Bourbon Brown,https://www.amazon.com/dp/B0BBKQ3XW9,,, +"Hzuaneri Blanket Ladder Shelf for Living Room, Decorative Wood Quilt Rack with 4 Removable Hooks, 5-Tier Farmhouse Ladder Holder Organizer for Bedroom, Rustic Brown 02101BBR",https://m.media-amazon.com/images/I/31XETwaX0WL._SS522_.jpg,Farmhouse,,,https://www.amazon.com/dp/B0BSKY28M7,,, +"9 Inch lighted magnifying mirror with Adjustable Height, Double Side 1x/10x Magnifying Mirror with Light, 360°Swivel Vanity Mirror with Stand Brightness Adjustable Travel Cosmetic Mirror (Nickel)",https://m.media-amazon.com/images/I/41j2FBzCCJL._SS522_.jpg,Modern,Alloy Steel,Brushed Nickel,https://www.amazon.com/dp/B0CMJCCT9C,,, +"shopperals Large Black Fogless Handheld Shaving Mirror with Ergonomic Handle -Perfect for Men and Women, 9"" x 13’’",https://m.media-amazon.com/images/I/413+UE2HxQL._SS522_.jpg,,Plastic,Black,https://www.amazon.com/dp/B0CJCRFZCG,,, +"Convenience Concepts French Country Desk, Driftwood / White",https://m.media-amazon.com/images/I/21Xa4sH6hPL._SS522_.jpg,French Country,Engineered Wood,Driftwood/White,https://www.amazon.com/dp/B07D6TS5MR,,, +"FurnitureR 27''H Round Drawer 2 Tiers Endtable Nightstand Shelf for Living Room Bedroom Balcony, Easy Assembly end Sofa Side Table with Storage, Green and Brown",https://m.media-amazon.com/images/I/51VXthftc3L._SS522_.jpg,Mid-Century Modern,Engineered Wood,Green and Brown,https://www.amazon.com/dp/B0BVYQTMNX,,, +Flash Furniture Contemporary Red Vinyl Rounded Orbit-Style Back Adjustable Height Barstool with Chrome Base,https://m.media-amazon.com/images/I/41OOyTZhTzL._SS522_.jpg,Contemporary,,Red,https://www.amazon.com/dp/B00EAY2HTY,,, +"Stylish Camping Ming's Mark RC4 Reversible Classical Patio Mat - 8' x 20', Green/Beige",https://m.media-amazon.com/images/I/515xhjtnk0L._SS522_.jpg,Modern,Polypropylene,Green/Beige,https://www.amazon.com/dp/B0044G9M2S,,, +"Christopher Knight Home Adelina Fabric Occaisional Chair, Light Lavendar",https://m.media-amazon.com/images/I/41FESwmeXbL._SS522_.jpg,Wing Back,,Light Lavender,https://www.amazon.com/dp/B073GLR1DG,,, +"ODK Small Computer Desk, 27.5 inch Desk for Small Spaces with Storage, Compact Table with Monitor & Storage Shelves for Home Office, Modern Style Laptop Desk, Pure White",https://m.media-amazon.com/images/I/41meqsf8aqL._SS522_.jpg,Modern,Engineered Wood,Pure White,https://www.amazon.com/dp/B092HVNQQ4,,, +GOmaize Cute Wall Mirror with 4 Layers of Colored Petals 14 inchs Wall Hanging Flower-Shaped Mirror Boho Home Decor for Apartment Living Room，Bedroom&Bathroom Ideas （Blue）,https://m.media-amazon.com/images/I/417WwDOB5XL._SS522_.jpg,Bohemian,Plastic,Blue,https://www.amazon.com/dp/B0CB6HZR7Z,,, +"huester What are You Doing in My Swamp Door Mat 17""x30"" Decorative Home Farmhouse Indoor Outdoor Front Porch Door Mat,Funny Welcome Door Mat Decor,Housewarming Gifts",https://m.media-amazon.com/images/I/51L59TyllJL._SS522_.jpg,Farmhouse,Rubber,,https://www.amazon.com/dp/B0C8SGN73S,,, +"Bedstory 3 Inch Queen Size Memory Foam Mattress Topper, Extra Firm Pain-Relief Bed Topper High Density, Enhanced Cooling Pad Gel Infused, Non-Slip Removable Skin-Friendly Cover, CertiPUR-US Certified",https://m.media-amazon.com/images/I/516PONoRDrL._SS522_.jpg,,Memory Foam,White,https://www.amazon.com/dp/B0B31DB3LN,,, +Toland Home Garden 800252 Birthday Bash Party Door Mat 18x30 Inch Balloon Outdoor Doormat for Entryway Indoor Entrance,https://m.media-amazon.com/images/I/51rfyHppFmS._SS522_.jpg,Modern,Rubber,Balloon Outdoor Doormat for Entryway Indoor Entrance,https://www.amazon.com/dp/B01AA0SO7A,,, +"Asense Small Footstool Ottoman Set of 2, Faux Leather Upholstered Rectangular Footrest with Plastic Legs, Celadon",https://m.media-amazon.com/images/I/31mK9NtBNHL._SS522_.jpg,Modern,,2 Pack Faux Leather Celadon,https://www.amazon.com/dp/B0CPLSTFW5,,, +"PINGEUI 2 Packs 13 Inches Bamboo Step Stool, Non-Slip Bamboo Small Seat Stool, Durable Bamboo Footrest Bench with Storage Shelf for Bathroom, Bedroom, Kitchen",https://m.media-amazon.com/images/I/41Y0vrrtp7L._SS522_.jpg,Modern,Bamboo,Brown,https://www.amazon.com/dp/B099VZPTWT,,, +"Poundex Y1553 Two Piece PU Round Shape Barstool Set, Black Adjustable Bar Stool",https://m.media-amazon.com/images/I/31XVd1lG-zL._SS522_.jpg,Modern,,Black,https://www.amazon.com/dp/B0183K9SMO,,, +"SP-AU-Era Mirror cabinet storage box, cosmetics, lipstick storage rack, bathroom desktop organization box, storage box (blackish green)",https://m.media-amazon.com/images/I/61zDAVHDAfL._SS522_.jpg,"Wall-mounted Perforated Home Bathroom Sink, Cosmetics, Lipstick Storage Rack",PET,blackish green,https://www.amazon.com/dp/B0C99SY5W2,,, +"Kavonty Storage Chest, Storage Bench, Retro Toy Box Organizer with U-Shaped Cut-Out Pull, 29.5"" L×15.7"" W× 17.7”H, Entryway Storage Bench with 2 Hinges,Supports 300 lb, Easy Assembly, Rustic Brown",https://m.media-amazon.com/images/I/41YpXf+0X2L._SS522_.jpg,,,Rustic Brown,https://www.amazon.com/dp/B0BB9RZ19N,,, +"Barkan TV Wall Mount, 32-70 inch Full Motion Articulating - 4 Movement Flat/Curved Screen Bracket, Very Low Profile, Holds up to 88 lbs, Lifetime Limited Warranty, UL Listed, Fits LED OLED LCD",https://m.media-amazon.com/images/I/41NgcrmTA7L._SS522_.jpg,,,,https://www.amazon.com/dp/B01L0YHBB0,,, +"danpinera Side Table Round Metal, Outdoor Side Table Small Sofa End Table Indoor Accent Table Round Metal Coffee Table Waterproof Removable Tray Table for Living Room Bedroom Balcony Office (Green)",https://m.media-amazon.com/images/I/41fuboxDT3L._SS522_.jpg,Modern,Iron,Light Green,https://www.amazon.com/dp/B09FXM34DV,,, +Dscabomlg Foldable Shoe Storage Plastic Vertical Shoe Rack Shoe Organizer for Closet Narrow Shoe Shelf Plastic-B,https://m.media-amazon.com/images/I/41bq4r8uj5L._SS522_.jpg,Modern,,Grey&white,https://www.amazon.com/dp/B0CG5SJN86,,, +"ACCHAR Ergonomic Office Chair, Reclining Mesh Chair, Computer Desk Chair, Swivel Rolling Home Task Chair with Padded Armrests, Adjustable Lumbar Support and Headrest (White)",https://m.media-amazon.com/images/I/413qdlao4pL._SS522_.jpg,With arms,Foam,White,https://www.amazon.com/dp/B0C2C9S1R6,,, +"ODK Small Computer Desk, 27.5 Inch, Compact Tiny Study Desk with Storage and Monitor Stand for Home Office, Small Spaces, Black",https://m.media-amazon.com/images/I/41NmfAngKlL._SS522_.jpg,Modern,Engineered Wood,Black,https://www.amazon.com/dp/B08CB925CT,,, +"Front Door Mats by ZULINE,Entry and Back Yard Door Mat,Indoor and Outdoor Safe,Slip Resistant Rubber Backing,Absorbent and Waterproof,Dirt Trapping Rugs for Entryway,29.5 x 17 (Brown-Diamond)",https://m.media-amazon.com/images/I/51+qRIvl1FL._SS522_.jpg,Outdoor & Indoor,Rubber,Brown-diamond,https://www.amazon.com/dp/B09PBH963M,,, +"MyGift Modern Over The Door Towel Rack in Shabby White Washed Solid Wood and 3 Tier Matte Black Metal Bars, Space Saving Bathroom Storage Drying Towels Hanger",https://m.media-amazon.com/images/I/515aoZQHoAL._SS522_.jpg,,Metal,Whitewashed Wood & Black Metal,https://www.amazon.com/dp/B0C5BBYRDN,,, +"WEENFON Storage Cabinet with Doors and Shelves, Floor Storage Cabinet with Drawer, Accent Cabinet for Living Room, Hallway, Kitchen, Gray",https://m.media-amazon.com/images/I/51F9Edov14L._SS522_.jpg,Shaker,Engineered Wood,Grey,https://www.amazon.com/dp/B0BF8KWBR2,,, +"SOOWERY End Tables with Charging Station, Set of 2 Side Tables with USB Ports and Outlets, Nightstands with Storage Shelf for Living Room, Bedroom, Brown",https://m.media-amazon.com/images/I/41x2Yzpw5aL._SS522_.jpg,Retro,Iron,Brown,https://www.amazon.com/dp/B0BRFX55TJ,,, +"Bednowitz Twin Box Spring，5 Inch Low Profile Metal Boxspring with Non-Slip Fabric Bed Cover, Sturdy Heavy Duty Steel Structure Bed Base, Noise-Free Mattress Foundation, Easy Assembly，Black",https://m.media-amazon.com/images/I/51rTEhx3EAL._SS522_.jpg,,,,https://www.amazon.com/dp/B0CJR8KM2D,,, +BOKKOLIK Industrial Bar Stools (Set of 2) Counter Height Adjustable 24-27.5inch Vintage Kitchen Island Stool Farmhouse Office Guest Chair Swivel Wooden Seat,https://m.media-amazon.com/images/I/41r1PM96rVL._SS522_.jpg,industrial/retro/rustic/vintage/farmhouse/chic,,,https://www.amazon.com/dp/B0BJZPV117,,, +"HOOBRO Over The Toilet Storage Cabinet, Mass-Storage Over Toilet Bathroom Organizer with Louver Door, X-Shaped Metal Frame, Space-Saving Toilet Rack, Easy Assembly, Rustic Brown BF431TS01",https://m.media-amazon.com/images/I/41i8ryTI4hL._SS522_.jpg,louver,"Engineered Wood, Metal",Rustic Brown,https://www.amazon.com/dp/B0B31G7LBC,,, +"Hanover Swivel Counter Height Bar Stool, White and Gray",https://m.media-amazon.com/images/I/31039iD-MpL._SS522_.jpg,Classic,,White and Gray,https://www.amazon.com/dp/B0B97PJ94P,,, +"VECELO Modern Industrial Style 3-Piece Dining Room Kitchen Table and Pu Cushion Chair Sets for Small Space, 2, Retro Brown",https://m.media-amazon.com/images/I/41rj5r2UFSL._SS522_.jpg,,,,https://www.amazon.com/dp/B09MS5RJTT,,, +"Tenkovic Metal Coat Rack Stand with Quartz Base, Coat Rack Freestanding with 8 Wooden Hooks, Easy to Assemble and Sturdy, Coat Rack Bionic Hall Tree for Home Entry-way Hat Hanger Organizer (Gold)",https://m.media-amazon.com/images/I/31N5mQxbhBL._SS522_.jpg,,"Metal, Wood",tree gold,https://www.amazon.com/dp/B0BZCMCJDY,,, +"FANYE Oversized 6 Seaters Modular Storage Sectional Sofa Couch for Home Apartment Office Living Room,Free Combination L/U Shaped Corduroy Upholstered Deep Seat Furniture Convertible Sleeper Sofabed",https://m.media-amazon.com/images/I/41MTr4ynO3L._SS522_.jpg,Track,Wood,Navy Blue,https://www.amazon.com/dp/B0CP7YFXD2,,, +"HOMSHO 2-Tier Storage Bench,Shoe Bench with Padded Seat Cushion, Entryway Bench with 2 Barn Doors,Adjustable Shelf, 27.6"" L x 13.8"" W x 17.7"" H, for Entryway, Living Room, Bedroom,White",https://m.media-amazon.com/images/I/41Sq7pT7XML._SS522_.jpg,,,White,https://www.amazon.com/dp/B0BY23W1J9,,, +"Realhotan 18 Inch Twin Bed Frame 3500 Pounds Heavy Duty Non-Slip Metal Slats Platform Mattress Foundation, No Box Spring Needed,Easy Assembly,Noise-Free,Black",https://m.media-amazon.com/images/I/51+pTJO13KL._SS522_.jpg,,,Black,https://www.amazon.com/dp/B0CCCS3RB9,,, +"Kwikset BTBNC1C Pfister Bath Hardware, 18"", Polished Chrome",https://m.media-amazon.com/images/I/31A+awsgcPL._SS522_.jpg,Contemporary,Zinc,Polished Chrome,https://www.amazon.com/dp/B00JMTNK0W,,, +"MAHANCRIS End Table Set of 2, Side Table with 3-Tier Storage Shelf, Slim Nightstands, Small Bedside Table, Sofa Table for Small Space, Sturdy and Stable, Living Room, Bed Room, Rustic Brown ETHR8501S2",https://m.media-amazon.com/images/I/41wsItqcjUL._SS522_.jpg,Straight Leg,Engineered Wood,Rustic Brown + Black,https://www.amazon.com/dp/B0CJNJMY5H,,, +"Moen MY3786CH Idora Single Post Bathroom Hand -Towel Ring, Chrome",https://m.media-amazon.com/images/I/41LVA3TodyL._SS522_.jpg,,Zinc,Chrome,https://www.amazon.com/dp/B0882HQRJX,,, +"Roundhill Furniture Swivel Black Bonded Leather Adjustable Hydraulic Bar Stool, Set of 2",https://m.media-amazon.com/images/I/31VM2JhRDZL._SS522_.jpg,Modern,,Black,https://www.amazon.com/dp/B00D93AT24,,, +"PINPLUS Storage Ottoman Bench, Linen Coffee Table Ottoman with Tray, Large Storage Bench with Wooden Legs, Toy Chest Foot Stools, Ottomans with Storage for Living Room Bedroom, White, 30"" x 15"" x 15""",https://m.media-amazon.com/images/I/41gj8mVGFGL._SS522_.jpg,Modern,Engineered Wood,White,https://www.amazon.com/dp/B0BZ3RYRNY,,, +"Red Co. 14 x 18 inch Large Decorative Frameless Beveled Edge Wall Hanging Mirror, Rectangular",https://m.media-amazon.com/images/I/21M6+MAnWpL._SS522_.jpg,Modern,Glass,Silver,https://www.amazon.com/dp/B087Z3RXLN,,, +PONTMENT Foot Stool Leather Footstool Solid Wood Vintage Foot Rest Faux Leather Ottoman Upholstered Footrest for Living Room/Sofa/Couch.,https://m.media-amazon.com/images/I/51ElPbhgU7L._SS522_.jpg,,,,https://www.amazon.com/dp/B0C38VPJ15,,, +"Kingston Brass BA2714C Milano Towel-Ring, 6-Inch, Polished Chrome",https://m.media-amazon.com/images/I/41X7yXWQ+PS._SS522_.jpg,Contemporary,Brass,Polished Chrome,https://www.amazon.com/dp/B0003SDM18,,, +"Lazy Chair with Ottoman, Modern Lounge Accent Chair with Footrest, Pillow and Blanket, Leisure Sofa Chair Reading Chair with Armrests and Side Pocket for Living Room, Bedroom & Small Space, Grey",https://m.media-amazon.com/images/I/415U1ul6gpL._SS522_.jpg,,,Grey,https://www.amazon.com/dp/B0CCRXWDF1,,, +"latifolia Shoe Cabinet, Vintage Shoe Storage Cabinet with 2 Doors, 4 Tier Bamboo Shoe Organizer Cabinet for Entryway, Closet, Hallway",https://m.media-amazon.com/images/I/41Mst-29ZdL._SS522_.jpg,Modern,Bamboo,Brown,https://www.amazon.com/dp/B0CGX7Y9HQ,,, +"Jumweo Towel Racks for Bathroom, Metal Towel Rack Wall Mounted for Large Towels, Rolled Bath Towel Holder for Bathroom Wall, Bath Towel Storage Shelf with Wood Shelf for Small Bathroom",https://m.media-amazon.com/images/I/411VfNriJEL._SS522_.jpg,,,,https://www.amazon.com/dp/B0CM6PR2ZB,,, +"Christopher Knight Home Gentry Bonded Leather Dining Chairs, 2-Pcs Set, Black",https://m.media-amazon.com/images/I/412PrvRCw-L._SS522_.jpg,Leather,Foam,Black,https://www.amazon.com/dp/B005FFA3LQ,,, +BokWin 4 Sets No Mortise Bed Rail Fittings Wooden Bed Frame Connectors Metal Bed Rail Fasteners,https://m.media-amazon.com/images/I/41ocbpXWJgL._SS522_.jpg,,Iron,,https://www.amazon.com/dp/B09CGPQT1L,,, +"Simple Deluxe Gaming Chair, Big and Tall Gamer Chair, Racing Style Adjustable Swivel Office Chair, Ergonomic Video Game Chairs with Headrest and Lumbar Support",https://m.media-amazon.com/images/I/41ZTMbqu1JL._SS522_.jpg,With arms,,Black,https://www.amazon.com/dp/B0B51LYB8T,,, +OIGUMR Shield Wall Mirror Mirror Wall Decor Vintage Mirror (11.3 x 8.5 inch Gold),https://m.media-amazon.com/images/I/41LSP7xb2qL._SS522_.jpg,,Resin,Gold,https://www.amazon.com/dp/B0BMXD3D6J,,, +"ChooChoo Farmhouse End Table, Modern End Table with Storage Shelf, X-Design Side Table Living Room (White and Brown)",https://m.media-amazon.com/images/I/41P7V9O6gaL._SS522_.jpg,Modern,Engineered Wood,White and Brown,https://www.amazon.com/dp/B0CJHT9KH6,,, +"ZIYOO Twin Bed Frame 14 Inch High 3 Inches Wide Wood Slats with 2500 Pounds Support, No Box Spring Needed for Foam Mattress,Underbed Storage Space, Easy Assembly, Noise Free",https://m.media-amazon.com/images/I/31dZ6tsbHOL._SS522_.jpg,,,Black,https://www.amazon.com/dp/B07RY46G23,,, +"MoNiBloom Set of 2 Plastic Barstools with PU Cushion, Height Adjustable White Bar Stools with High Backrest and 360° Swivel, Modern Counter Height Barstool for Kitchen Dining Room and Pub",https://m.media-amazon.com/images/I/31fCq+IIEuL._SS522_.jpg,Modern,,White,https://www.amazon.com/dp/B0CB7SM7MM,,, +KingCamp Stable Folding Camping Table Bamboo Outdoor Folding Tables Adjustable Height Portable Picnic,https://m.media-amazon.com/images/I/41Sc-GGZBeL._SS522_.jpg,YELLOW,"Aluminum,Bamboo","Yellow-27.6""d X 47.2""w X 27.56""h",https://www.amazon.com/dp/B08ZHPDZX5,,, +"Artistic Weavers Berma Knitted Jute Round Pouf 14""H x 20""W x 20""D, Slate",https://m.media-amazon.com/images/I/51wZvzlzMDL._SS522_.jpg,Natural,Engineered Wood,Slate,https://www.amazon.com/dp/B00JVZEZE2,,, +Dwellicity Hello Welcome Mat Black and Gray Striped Coir Mat,https://m.media-amazon.com/images/I/51nGbm-6b-L._SS522_.jpg,Modern,Polyvinyl Chloride,,https://www.amazon.com/dp/B099NTP2SZ,,, +"Lifewit 70.9"" Narrow Long Console Sofa Table with Metal Frame for Living Room, Industrial Entryway Table for Hallway Entrance Office Corridor Coffee Table Behind Sofa, Easy Assembly, Rustic Brown",https://m.media-amazon.com/images/I/417XCOhUDgL._SS522_.jpg,Modern,Engineered Wood,Rustic Brown,https://www.amazon.com/dp/B0BZYWTH2D,,, +"Henn&Hart 20"" Wide Round Side Table with Mirror Shelf in Antique Brass, Table for Living Room, Bedroom",https://m.media-amazon.com/images/I/41+Mg7qmpYL._SS522_.jpg,Side Table,Glass,Antique Brass/Mirror,https://www.amazon.com/dp/B07WK22XDX,,, +"klotski Kids Table and 2 Chair Set, Wood Activity Toddler Table and Chair Set with Storage, Children Table with Non-Slip Legs/Round Edge Design for Activity/Play/Art/Read/Craft",https://m.media-amazon.com/images/I/41QhFgJUCgL._SS522_.jpg,,,,https://www.amazon.com/dp/B0CGZW945K,,, +"Kraftware Grant Signature Home San Remo Pinecone Round Waste Basket, 10.75"", Brown",https://m.media-amazon.com/images/I/419nFYjmvGL._SS522_.jpg,,Vinyl,Brown,https://www.amazon.com/dp/B0751KYGV4,,, +"Alise Bath 3 Towel Bars,Towel Holder Towel Racks for Bathroom Wall Mount,Heavy Duty SUS304 Stainless Steel Towel Hanger Towel Rails,GK9603-B Matte Black,25-Inch",https://m.media-amazon.com/images/I/41frWw+ttRL._SS522_.jpg,,"Stainless Steel, Metal",Matte Black,https://www.amazon.com/dp/B0BGN333H4,,, +"Round Mirror, Black Round Mirror 24 Inch, Round Wall Mirror, Round Bathroom Mirror, Circle Mirrors for Wall, Metal Framed Mirror for Bathroom, Vanity, Bedroom, Entryway, Hallway",https://m.media-amazon.com/images/I/41igYIRb2fL._SS522_.jpg,Modern,Metal,Black,https://www.amazon.com/dp/B08TTKV6LY,,, +"Gexpusm Wood Coffee Table, Natural Wood Coffee Table, Solid Wood Center Large Coffee Table for Living Room (Octagonal Coffee Table)",https://m.media-amazon.com/images/I/51xwMLJtrtL._SS522_.jpg,4 independent iron legs,Wood,Octagonal Coffee Table,https://www.amazon.com/dp/B0BWXB7C1B,,, +"Karl home Accent Chair Mid-Century Modern Chair with Pillow Upholstered Lounge Arm Chair with Solid Wood Frame & Soft Cushion for Living Room, Bedroom, Belcony, Beige",https://m.media-amazon.com/images/I/51+a05Mxh+L._SS522_.jpg,Mid-Century Modern,,Beige,https://www.amazon.com/dp/B0BLP4W97Y,,, +"Kottova Vanity Mirror with Lights,Makeup Mirror Tabletop,Hollywood Mirror with Phone Holder,9 LED Dimmable Bulbs, 3 Color Modes,Touch Control, 360 Rotation,Detachable 10X Magnification Mirror,Black",https://m.media-amazon.com/images/I/41Z2VFHxc2L._SS522_.jpg,,,,https://www.amazon.com/dp/B0BJ1Y5TDN,,, +"L.R. Resources Corcovado Metallic Braided Pouf Ottoman, 14"" x 20"", Grey/White",https://m.media-amazon.com/images/I/51QokReEa1L._SS522_.jpg,Bohemian,Cotton,Grey / White,https://www.amazon.com/dp/B078YDGBM8,,, +"GREENSTELL Coat Rack, Wooden Coat Rack Freestanding with Shelf, Coat Tree with 4 Height Options 50.5""-72.6"" for Clothes/Bag/Hats, Hanger Stand for Entryway/Living Room/Bedroom/Office, Black",https://m.media-amazon.com/images/I/31lWN-XSfCL._SS522_.jpg,Rustic,Wood,Black,https://www.amazon.com/dp/B09M8M4P9L,,, +"COLLECTIVE HOME Mail Organizer with Mirror, Wall Pocket, Wood Wall Hanging Decor, Wooden Mail Holder, Collect Beautiful Moments, Decorative Accent Mirror for Foyer, Bathroom, Bedroom. (Black)",https://m.media-amazon.com/images/I/510ciQYiY4L._SS522_.jpg,Rustic,Black,White,https://www.amazon.com/dp/B0BWY1HPMB,,, +"Nightstand with Charging Station and LED Light, Side End Table with Glass Door, Modern Bedside Table for Bedroom, Living Room",https://m.media-amazon.com/images/I/41Co0zmXyyL._SS522_.jpg,With power outlet,"Glass, Engineered Wood",Black,https://www.amazon.com/dp/B0C6K8LMG8,,, +"Kmitmuk 2 Pack Cabinet Towel Holder, White Kitchen Towel Rack Stainless Steel Towel Bar Universal Fit On Cupboard Doors",https://m.media-amazon.com/images/I/21b4+99Ox0L._SS522_.jpg,,,,https://www.amazon.com/dp/B0CGXJ3VR7,,, +"GIA Toolix Backless Stool with Metal Seat, Gunmetal, 4-Pack",https://m.media-amazon.com/images/I/41mgAYeNExL._SS522_.jpg,Tapered,,Gunmetal,https://www.amazon.com/dp/B01FL46UD0,,, +"It's_Organized Gaming Desk 55 inch PC Computer Desk, K-Frame Home Office Desk Professional Gamer Workstation with Cup Holder Headphone Hook Gaming Handle Rack Free Mousepad, Black",https://m.media-amazon.com/images/I/41oiXo1q4wL._SS522_.jpg,Gaming,Alloy Steel,Black,https://www.amazon.com/dp/B08CR34X1X,,, +"Serta Executive Office Padded Arms, Adjustable Ergonomic Gaming Desk Chair with Lumbar Support, Faux Leather and Mesh, Black/Blue",https://m.media-amazon.com/images/I/41ZBS1hvHzL._SS522_.jpg,with-arms,Foam,Black/Blue,https://www.amazon.com/dp/B07644FZVS,,, +"KoiHome Wooden Daybed with 2 Storage Drawers, Twin Size Platform Bed Frame, Daybed Twin for Kids Boy Girls Bedroom,Living Room, Office, No Box Spring Needed, Twin Size Day Beds Sofas in Espresso",https://m.media-amazon.com/images/I/511irNkgawL._SS522_.jpg,,,Espresso,https://www.amazon.com/dp/B0CHMQC63H,,, +"Soerreo Shoe Slot Storage Box Adjustable Shoe Rack Save Space Suitable for High Low Heels, Sneakers and Sandals (10 Piece Set)",https://m.media-amazon.com/images/I/4127YVIANkL._SS522_.jpg,Modern,Plastic,10 Piece Set,https://www.amazon.com/dp/B07X5VSLV1,,, +"Arch Window Wall Mirror for Living Room,White Cathedral Wooden Decorative Arch Windowpane Mirror Large Vintage Farmhouse Mirror",https://m.media-amazon.com/images/I/419YPa-PWhL._SS522_.jpg,French Country,Wood,Black,https://www.amazon.com/dp/B0CJV7SF48,,, +"Jennifer Taylor Home Jacob 18"" Storage Cube Ottoman, Tan Floral Jacquard",https://m.media-amazon.com/images/I/51KOhS-ZWZL._SS522_.jpg,Contemporary,Engineered Wood,Tan Floral Jacquard,https://www.amazon.com/dp/B0C9FWFGRP,,, +"C COMFORTLAND Unstuffed Faux Leather Ottoman Pouf, Round Foot Rest Poof Ottomans, Floor Foot Stool Poufs, Bean Bag Cover with Storage for Living Room, Bedroom, Grey (No Filler)",https://m.media-amazon.com/images/I/51qAukZMUDL._SS522_.jpg,Modern,This is an empty shell that you have to stuff.,Grey3,https://www.amazon.com/dp/B0BWY5RPD1,,, +"ZZQXTC Over Toilet Storage Cabinet, Bathroom Storage Cabinet with Doors and Shelves, Wood Metal Bathroom Space Saver Above Toilet, White",https://m.media-amazon.com/images/I/31cXPz4r76L._SS522_.jpg,wood,Wood,Over the Toilet Storage Cabinet White,https://www.amazon.com/dp/B0CBDLJ32L,,, +"40ft Upholstery Elastic Webbing,Two Inch (2"") Wide Stretch Latex Band for Furniture Sofa, Couch, Chair Repair Modification (5cm Green)",https://m.media-amazon.com/images/I/51oKu+lxwzL._SS522_.jpg,,,,https://www.amazon.com/dp/B0CG9CDKQ7,,, +"Kujielan Oval Wall Mirror with Leaf Decorative Frame,Cirle Mirrors for Wall,Modern Wall Decor for Living Room,Bedroom,Bathroom,Vanity,Entryway,Black",https://m.media-amazon.com/images/I/419muJNV1JL._SS522_.jpg,Contemporary,Metal,Black,https://www.amazon.com/dp/B0CF9W6WW2,,, +"RRG Coat Rack Stand, Metal Coat Tree with Heavy Base 8 Welded Hooks Coat Stand for Entryway, Hall, Bedroom, Corner, Office 67” (Gold)",https://m.media-amazon.com/images/I/214BED2RP6L._SS522_.jpg,8 T-shaped Hooks,Metal,"Gold - T 67""/170cm",https://www.amazon.com/dp/B09VBPNY7P,,, +"Mirrors for Wall Decor, Golden Hanging Mirror Golden Butterfly Wall Hanging Makeup Mirror with Chain Round Decorative Mirror for Bathroom Bedroom Living Room Housewarming Gift",https://m.media-amazon.com/images/I/31TgX2crLUS._SS522_.jpg,,Iron,Gold,https://www.amazon.com/dp/B097R4M5Y5,,, +"Mokoze Wavy Mirror Irregular Border 10.24""x6.3"" Makeup Mirror for Wall-Mounted and Dressing Table Mirrors, Room Decor for Living Room Bedrooms and Mirror for Desk (White)",https://m.media-amazon.com/images/I/319OzJXVrxL._SS522_.jpg,,Plastic,White,https://www.amazon.com/dp/B0C9QHJ611,,, +"(100) 12"" Record Outer Sleeves - Outer Resealable Sleeves - Extreme HD Poly 3 Mil 12 3/4"" x 12 1/2"" | Record Rescue",https://m.media-amazon.com/images/I/41uJZW57cBL._SS522_.jpg,,"Vinyl, Plastic, Polypropylene (PP)",,https://www.amazon.com/dp/B07B8VT4DC,,, +"Christopher Knight Home Munro Recliner, Navy Blue + Teak",https://m.media-amazon.com/images/I/31exiSJMk8L._SS522_.jpg,Contemporary,Foam,Navy Blue + Teak,https://www.amazon.com/dp/B09DS1VPFS,,, +"3-Tier Side Table,Narrow End Table with Storage Shelf,Minimalist Bedside Tables Nightstand,Small Bookshelf Bookcase for Spaces,Bathroom Shelve,Display Rack for Bedroom,Living Room,Office,Dorms,2 Pack",https://m.media-amazon.com/images/I/41tzKL1XIPL._SS522_.jpg,Modern,Engineered Wood,White,https://www.amazon.com/dp/B0CP732ZN8,,, +"DBTHTSK Sofa Latch,Bed Replacement Parts,Heavy Duty Connector Bracket Interlocking Tapered Hardware Accessories Furniture Connector for Furniture, Sofa, Bed (2 Pairs)",https://m.media-amazon.com/images/I/41gQlYHLvcL._SS522_.jpg,,,,https://www.amazon.com/dp/B0C2GQK6ZD,,, +"Boraam Sonoma Bench, Storm Gray Wire-Brush",https://m.media-amazon.com/images/I/316Y4ewyCLL._SS522_.jpg,,,Storm Gray Wire-brush,https://www.amazon.com/dp/B07T9M8Y88,,, +"Kwikset BTBCB2Y, Tuscan Bronze",https://m.media-amazon.com/images/I/21lfjygKjaL._SS522_.jpg,Transitional,Metal,Tuscan Bronze,https://www.amazon.com/dp/B001AHXWQ6,,, +"Ilyapa 2-Tier Gold Metal Record Player Stand with 16 Slot Vinyl Record Holder - Honeycomb Design Turntable Shelf with Record Shelf, Vinyl Record Player Stand",https://m.media-amazon.com/images/I/4107MgspWhL._SS522_.jpg,,,,https://www.amazon.com/dp/B0BT6FF83T,,, +"GZsenwo (2 Pieces) 3-5/8"" Stainless Steel Replacement Recliner Sofa Mechanism Tension Spring - Long Neck Hook",https://m.media-amazon.com/images/I/41GvGSllzML._SS522_.jpg,,Stainless Steel,2pcs,https://www.amazon.com/dp/B0C6SYFYZN,,, +"HomePop by Kinfine Fabric Upholstered Round Storage Ottoman - Velvet Button Tufted Ottoman with Removable Lid, Tan Woven",https://m.media-amazon.com/images/I/51x3kXXPgxL._SS522_.jpg,"Glam,Farmhouse,Traditional",Engineered Wood,Tan Woven,https://www.amazon.com/dp/B0BG6BJ3DL,,, +"EFTILE HOME 2 Foot Stool Handmade Wooden 3 Legs Footrest for Living Room, Bedroom, Nursery, Patio,Hallway, Lounge, Decorative Furniture (16x14x14; Kiwi)",https://m.media-amazon.com/images/I/41-mDeiQw+L._SS522_.jpg,,Wood,Kiwi,https://www.amazon.com/dp/B0CKJ4YZC9,,, +"Soft Foot Stool Ottoman Footrest Vanity Stool with Storage Shelf, Velvet Multifunctional Modern Padded Shoe Changing Seat Step Stool Pouf for Makeup Room, Living Room, Bathroom, Metal Legs Black",https://m.media-amazon.com/images/I/41oTGNme97L._SS522_.jpg,,Iron,Black,https://www.amazon.com/dp/B0CKW44X29,,, +"GAOMON Black 4 Drawer Dresser for Bedroom, Wood Chest of Drawers with Metal Legs, Modern Storage Dresser Chest Cabinet Organizer, Large Dresser for Living Room, Hallway, Closet",https://m.media-amazon.com/images/I/41GkzVqoNyL._SS522_.jpg,,,Black,https://www.amazon.com/dp/B0CM1B86CJ,,, +"Alise 24-Inch Bathroom Lavatory Towel Rack Towel Shelf with 2 Towel Bars Wall Mount Towel Holder,GYT7060-C SUS 304 Stainless Steel Polished Chrome",https://m.media-amazon.com/images/I/51FqMNM3yYL._SS522_.jpg,,,,https://www.amazon.com/dp/B0B6HXHQSW,,, +"Seventable Nightstand with Charging Station and LED Lights, Modern Design End Side Table with 2 Drawers, Nightstand Open Compartment for Bedroom, Black",https://m.media-amazon.com/images/I/41Wn14U8LlL._SS522_.jpg,Modern,Engineered Wood,Black,https://www.amazon.com/dp/B09DLBNY6W,,, +"Furinno Coffee Table with Bins, Espresso/Brown & Simplistic End Table, Espresso/Black",https://m.media-amazon.com/images/I/31CY4VJNyxL._SS522_.jpg,Modern,"Beech,Particle Board",Espresso/Brown,https://www.amazon.com/dp/B08C7Y4RB3,,, +"Mod Made Mid Century Modern Chrome Wire Counter Stool for Bar or Kitchen, Set of 2, Black",https://m.media-amazon.com/images/I/41BxXleMgGL._SS522_.jpg,Straight,,Black Pad,https://www.amazon.com/dp/B09Q1ZHQFR,,, +"Bloomingville 15 Inches Mango Wood and Metal Organic Shaped Shelf, Matte Black Wall Mirror",https://m.media-amazon.com/images/I/21-b0yTRSNL._SS522_.jpg,Rustic,Metal,Black,https://www.amazon.com/dp/B0CFSPXPYF,,, +"Gnyonat Accent Chair with Ottoman,Living Room Chairs,Reading Chairs for Bedroom Comfy,Soft Fabric Reading Chair (Blue)",https://m.media-amazon.com/images/I/41Gau9oSdRL._SS522_.jpg,,,Blue,https://www.amazon.com/dp/B0C3TYNRJC,,, +"SLLFLY Water Bottle Organizer,Stackable Water Bottle Holder for Cabinet Kitchen,Wine Drink Rack for Kitchen Countertop Freezer Pantry Organization and Storage",https://m.media-amazon.com/images/I/51EAJVwOuLL._SS522_.jpg,Clear,,Clear,https://www.amazon.com/dp/B0BZNKKCC3,,, +"jela Kids Couch Large, Floor Sofa Modular Funiture for Kids Adults, Playhouse Play Set for Toddlers Babies, Modular Foam Play Couch Indoor Outdoor (57""x28""x18"", Charcoal)",https://m.media-amazon.com/images/I/41Zury7vcHL._SS522_.jpg,Padded,Suede,Charcoal,https://www.amazon.com/dp/B0BL9CDX29,,, +Flexson TV Mount Attachment for Sonos Beam - Black,https://m.media-amazon.com/images/I/31vbAI-UxEL._SS522_.jpg,,,Black,https://www.amazon.com/dp/B07DQ6GPK6,,, +"Small Collapsible Kids Hamper Fold Office Waste Bins Pop Up Basket Laundry Sorter For Bedroom Closet,Living Room,Camp Pink",https://m.media-amazon.com/images/I/41v-ozvbCqL._SS522_.jpg,现代,Polyester,"11.8""*19.7"" Pink",https://www.amazon.com/dp/B07K2Q2NRC,,, +"Diyalor 2.6 Gallon Small Trash Can with Handle,Durable Bathroom Wastebasket Garbage Can (Pack of 2, Black)",https://m.media-amazon.com/images/I/219EPmkeeJL._SS522_.jpg,,,,https://www.amazon.com/dp/B09QCMCPYC,,, +"DAYTOYS C Shaped End Table-Movable Sofa Table with Metal Frames-Height Adjustable Sofa Tables with Storage Basket for Living Room, Bedroom, Bedside (Black)",https://m.media-amazon.com/images/I/41pgntXmHrL._SS522_.jpg,Classic,Wood,Black,https://www.amazon.com/dp/B0C32RWCV7,,, +"Phantoscope Storage Ottoman Round15 Inch, Velvet Folding Storage Boxes Footrest Foot Ottoman Toy Box, Padded Seat for Dorm Living Room Bedroom, Support 220lbs Coffee",https://m.media-amazon.com/images/I/31V7JNrxMgL._SS522_.jpg,Modern,Engineered Wood,Coffee,https://www.amazon.com/dp/B095HPZ7DD,,, +Casual Home Night Owl Nightstand with USB Ports-Espresso,https://m.media-amazon.com/images/I/3142Zp+eYuL._SS522_.jpg,Night Owl,"Walnut,Solid Wood,MDF",Espresso,https://www.amazon.com/dp/B019C4PPTU,,, +"NOVICA 302212 Handmade Wood and Reverse Painted Glass Wall Mounted Mirror, Burgundy and Metallic, Cuzco Snowflake'",https://m.media-amazon.com/images/I/51bKwT153nL._SS522_.jpg,Colonial,"Wood, Glass",Burgundy,https://www.amazon.com/dp/B07N41BVDG,,, +Toy Storage Basket and Play Mat for Building Bricks - Collapsible Canvas Organizer Bag with Drawstring - For Kids,https://m.media-amazon.com/images/I/61f83XRzygL._SS522_.jpg,,fabric,Grey,https://www.amazon.com/dp/B08PMH8F89,,, +RICOO SQ4965 No-Gap Wall Mount for Samsung® Q7 Q8 & Q9 Screens Ultra Flat & Tilting TV Bracket for 49 55 & 65 Inch QLED Devices Super Slim Television Support Weight Capacity 110lbs Black,https://m.media-amazon.com/images/I/41VNr1xTfEL._SS522_.jpg,,,black,https://www.amazon.com/dp/B083WKFRRR,,, +Hosley Wooden Frame Mirror 20 Inch High. Ideal for Weddings Special Occasions and for Wall Decor Home Spa Aromatherapy Reiki. P2,https://m.media-amazon.com/images/I/410lp8RwjvL._SS522_.jpg,Contemporary,Wood,Brown,https://www.amazon.com/dp/B07BQHWWRW,,, +"BRIAN & DANY Foldable Storage Ottoman Footrest and Seat Cube with Wooden Feet and Lid, Khaki 15” x15” x14.7”",https://m.media-amazon.com/images/I/413YS7nQBnL._SS522_.jpg,Modern,Wood,Khaki,https://www.amazon.com/dp/B08BNDNGHJ,,, +"ReplacementScrews Bed Frame Rail Screws Compatible with IKEA Part 116894 (HEMNES, BRIMNES, etc) Euro Screws (Pack of 20)",https://m.media-amazon.com/images/I/31-vY+TuWOL._SS522_.jpg,Flat,Metal,Multicolored,https://www.amazon.com/dp/B0CMXYMDH4,,, +"mDesign Round Metal in-Lay Accent Table with Hairpin Legs - Side/End Table - Decorative Legs, Marble Top - Home Decor Accent Furniture for Living Room, Bedroom - Set of 2 - Soft Brass/Mirror",https://m.media-amazon.com/images/I/413u0H2o1IL._SS522_.jpg,Modern,Steel/Mirror,Soft Brass/Mirror,https://www.amazon.com/dp/B08XPR7662,,, +"NSFRCLHO Round End Table, Tempered Glass End Table with Metal Frame, Small Coffee Table, Black Sofa Side Table for Living Room, Balcony, Bedroom",https://m.media-amazon.com/images/I/41z8YktAkGL._SS522_.jpg,Classic,Tempered Glass,Black,https://www.amazon.com/dp/B089YWCTN2,,, +pranovo Metal Sofa Handle Cable Recliner Chair Couch Release Lever Replacement (2 Pack B#),https://m.media-amazon.com/images/I/3144eTNpeEL._SS522_.jpg,,Aluminum,Black,https://www.amazon.com/dp/B00R5VYYIG,,, +"Stuffed Animal Storage Bean Bag Chair Cover for Kids, 24x24 Inch Velvet Extra Soft Large Storage Bean Bag for Organizing Children Plush Toys Room Decor for Girls(Cover Only)",https://m.media-amazon.com/images/I/41dBlMhHThL._SS522_.jpg,,velvet,Cover Only,https://www.amazon.com/dp/B08JLH2PVH,,, +"Pinkpum Shoe Ogranizer for Closet, 12 Pack Shoe Storage Boxes Clear Plastic Stackable Shoe Box, Shoe Containers Storage with Lids, Sneaker Container Bin Holder, Clear White",https://m.media-amazon.com/images/I/41huFJxt+FL._SS522_.jpg,,Acrylonitrile Butadiene Styrene,Clear,https://www.amazon.com/dp/B0B6P65LGH,,, +"BOOSDEN Padded Folding Chair 2 Pack, Foldable Chair with Thick Cushion, Heavy Duty Metal Folding Chair for Outdoor & Indoor & Dining & Party, Red",https://m.media-amazon.com/images/I/41H64LdIQ8L._SS522_.jpg,,,2 Pack Thick Chair | Red,https://www.amazon.com/dp/B0CC4SZBQ9,,, +"Kingston Brass SCC8247 Edenscape Pedestal Steel Construction Towel-Rack, Brushed Brass 25.75 x 14.44 x 32",https://m.media-amazon.com/images/I/31FOa-k+EtL._SS522_.jpg,Modern,Alloy Steel,Brushed Brass,https://www.amazon.com/dp/B0B5VJNZHL,,, +"Industrial Rolling Bar 3-Tier Kitchen Serving Cart, Wine Storage Rack, Rustic Pipe Dining Cart with Wheels, Restaurant Wine Glass Holder, 15.7x15.7x33.4inches",https://m.media-amazon.com/images/I/51rjiq645tL._SS522_.jpg,,"Solid Wood,Iron",Brown+black,https://www.amazon.com/dp/B07RGDWW5C,,, +Chill Sack Bean Bag Chair: Giant 5' Memory Foam Furniture Bean Bag - Big Sofa with Soft Micro Fiber Cover - Lime,https://m.media-amazon.com/images/I/51fQFu92tsL._SS522_.jpg,Furniture Foam,,Microsuede - Lime,https://www.amazon.com/dp/B00P21TM2O,,, +"Caroline's Treasures BB5130JMAT Day of The Dead Red Flowers Skull Doormat 24x36 Front Door Mat Indoor Outdoor Rugs for Entryway, Non Slip Washable Low Pile, 24H X 36W",https://m.media-amazon.com/images/I/41Q15C0DMDL._SS522_.jpg,Day of the Dead Red Flowers Skull,Rubber,Day of the Dead Red Flowers Skull,https://www.amazon.com/dp/B01MR9GSZE,,, +"glitzhome Adjustable Bar Stool Set of 2 Swivel Mid-Century Modern PU Leather Counter Dining Chairs with Back, Begin",https://m.media-amazon.com/images/I/51OPfpn9ovL._SS522_.jpg,Mid-Century,,Begin,https://www.amazon.com/dp/B08ZC5CYXG,,, +Symmons 673TR-STN Identity Wall-Mounted Towel Ring in Satin Nickel,https://m.media-amazon.com/images/I/31cLgr4MIBL._SS522_.jpg,Contemporary,Brass,Satin Nickel,https://www.amazon.com/dp/B01LYD3YB1,,, +"glitzhome Kitchen Island with Storage Kitchen Cart on Wheels Rolling Kitchen Cart Island Table with Tower Holder Spice Rack Drawer for Dining Room Kitchen, 34.25”H, Red",https://m.media-amazon.com/images/I/51wSfraUuhL._SS522_.jpg,Shaker,"Mdf,Metal,Plastic",Red,https://www.amazon.com/dp/B09D2T4GP4,,, +"Lipper International Child's Toy Chest, 33.25"" W x 17.75"" D x 24.5"" H, Walnut Finish",https://m.media-amazon.com/images/I/41IWlgQ25-L._SS522_.jpg,,"Engineered Wood, Beechwood, Metal",Walnut Finish,https://www.amazon.com/dp/B005H05TWC,,, +"dnbss LED Nightstand with Charging Station, Swivel Top Bedside Table with Wheels, Smart Night Stand with Laptop Table Workstation for Bedroom, Modern End Side Table (Black)",https://m.media-amazon.com/images/I/41CANS+MiTL._SS522_.jpg,Modern,Wood,1-black,https://www.amazon.com/dp/B0BNWVLYV1,,, +"Remote Control Holder,TV Remote Caddy/Box with 5 Compartments,Bedside Table Organizer for Controller,Glasses,makeup brushes,jewelry and Media Player,Pen/Pencil Storage(Orange)",https://m.media-amazon.com/images/I/41p58TdmyoL._SS522_.jpg,,Leather,Orange,https://www.amazon.com/dp/B0C2GZNDXF,,, +"MoNiBloom Foldable Storage Free Standing Shoes Shelf, Bamboo Multifunctional 4-Tier Shoe Organizer for 16-20 Pairs Entryway, Hallway, Corridor, Natural",https://m.media-amazon.com/images/I/41SpDKbBslL._SS522_.jpg,Modern,Bamboo,,https://www.amazon.com/dp/B09JSR3CYZ,,, +"Walker Edison Furniture Modern Round Nesting Coffee Accent Table Living Room, Walnut/Gold",https://m.media-amazon.com/images/I/51U3y0LRMeL._SS522_.jpg,Coffee Table,Manufactured Wood,Walnut/Gold,https://www.amazon.com/dp/B072P27BTW,,, +Way Basics Book Shelf 4 Cubby Storage (Tool-free Assembly),https://m.media-amazon.com/images/I/31eEZQKN+rL._SS522_.jpg,Modern,Recycled Material,,https://www.amazon.com/dp/B071HWKHQL,,, +"Mind Reader Trash Can and Toilet Brush Set, Bathroom Decor, Swivel Lid, Accessories, 8.75"" W x 11.25"" H, 2 Piece Set, Gray",https://m.media-amazon.com/images/I/31ktspfOC9L._SS522_.jpg,,,,https://www.amazon.com/dp/B0BJ7PQ9XH,,, +"#4203 Adjustable 1/4"" Threaded Non-Skid Leveling Glides Black Pad 4-Pack",https://m.media-amazon.com/images/I/31Oas3rE7sL._SS522_.jpg,,,,https://www.amazon.com/dp/B01M0S28J1,,, +Funny Welcome Doormat for Entryway Front Porch Mat Welcome Madafakas Bulldog with Gun Doormat for Front Door Decor Personalized Kitchen Mat with Anti-Slip Rubber Back Novelty Gift Mat(23.7 X 15.9 in),https://m.media-amazon.com/images/I/415x2v3cW5L._SS522_.jpg,Farmhouse,Rubber,"Colorful,Funny,Novelty,Personalized",https://www.amazon.com/dp/B09VFPFBND,,, +"KINGYES Folding Adjustable Backrest Adirondack Chair, Gray",https://m.media-amazon.com/images/I/41RnRNOgDDL._SS522_.jpg,With arms,,Grey,https://www.amazon.com/dp/B0B2JRSBL3,,, +"Leick Home 10109-GR Oval Condo/Apartment Coffee Table with Shelf, Smoke Gray",https://m.media-amazon.com/images/I/31hgF2KPIJL._SS522_.jpg,Oval Coffee Table,Wood,Smoke Gray,https://www.amazon.com/dp/B08KLBTL5R,,, +Carter's by DaVinci Colby 3-Drawer Dresser in Grey,https://m.media-amazon.com/images/I/31eTOoDK36L._SS522_.jpg,,"pine, Wood",Grey,https://www.amazon.com/dp/B071DZG655,,, +Modway Baronet Button-Tufted Vegan Leather Parsons Dining Chair in Gray,https://m.media-amazon.com/images/I/31Um2-NPw3L._SS522_.jpg,Contemporary,Foam,Grey,https://www.amazon.com/dp/B0BR8NVGDL,,, +"MOOACE Small Side Table, Round End Table Nightstand with Charging Station, Storage Shelves, 2 Tier Sofa Coffee Beside Accent Table for Living Room, Bedroom, Brown",https://m.media-amazon.com/images/I/419Yb6N5yyL._SS522_.jpg,Modern,Wood,Brown,https://www.amazon.com/dp/B0BGL3QXKR,,, +BYOOTIQUE Makeup Chair Folding Camping Stool Collapsible Seat Telescoping Stool Height Adjustable Round Vanity Stool Chair Portable Makeup Hairstylist Chair for Makeup Nail Artist Hair Stylist Travel,https://m.media-amazon.com/images/I/511N0PuE9EL._SS522_.jpg,,,,https://www.amazon.com/dp/B0CC4X9SS3,,, +"nimboo Kids Couch - Modular Kids Play Couch Set, Kids Sofa, Toddler Couch, Toddler Sofa, Kid Couch, Foam Playroom Couch for Kids",https://m.media-amazon.com/images/I/51He1KLeOsL._SS522_.jpg,,High Density Comfort Foam,Rainbow Unicorn,https://www.amazon.com/dp/B0CLC3XWR6,,, +"LOKKHAN Industrial Bar Table 38.6""-48.4"" Height Adjustable Swivel Round Wood Tabletop 23.7"" Dia, Kitchen Dining Office Coffee Bistro Pub Table",https://m.media-amazon.com/images/I/31uVNZMOnXL._SS522_.jpg,,"Wood Tabletop,Wooden Tabletop",Copper,https://www.amazon.com/dp/B0BVT748HV,,, +"UTONE Gaming Chair Computer Chair Breathable Fabric Office Chair Cloth with Backrest Desk Chair with Footrest, Lumbar Support Swivel Recliner Task Chair Ergonomic Video Game Chair Height Adjustable",https://m.media-amazon.com/images/I/31dCSKQ14YL._SS522_.jpg,Solid Back,Textile,Pink,https://www.amazon.com/dp/B0CF9F4TQD,,, +"Lexicon Victoria Saddle Wood Bar Stools (Set of 2), 28.5"" SH, Black Sand",https://m.media-amazon.com/images/I/41CPL03Y-WL._SS522_.jpg,Contemporary,Wood,Black Sand,https://www.amazon.com/dp/B08SLPBC36,,, +ANZORG Behind Door Hanging Kids Shoes Organizer Closet Shoe Organizer Shoe Rack with 12 Mesh Pockets (12 Pockets),https://m.media-amazon.com/images/I/31qQ2tZPv-L._SS522_.jpg,,Non Woven Fabric,12 Pockets,https://www.amazon.com/dp/B09KN5ZTXC,,, +"Pipishell Full-Motion TV Wall Mount for Most 37–75 Inch TVs up to 100 lbs, Wall Mount TV Bracket with Dual Articulating Arms, Extension, Swivel, Tilt, Fits 16"" Wood Studs, 600 x 400mm Max VESA, PILF8",https://m.media-amazon.com/images/I/41TkLI3K2-L._SS522_.jpg,,,Black,https://www.amazon.com/dp/B0BN7T57NK,,, +"Noori Rug Home - Lux Collection Modern Ava Round Ivory Velvet Storage Ottoman - 13x13x15 - Livingroom,Bedroom, Kid's Room, Nursery, Medium",https://m.media-amazon.com/images/I/21Uq9uJEE5L._SS522_.jpg,Glam,Engineered Wood,Ivory/Gold Ava,https://www.amazon.com/dp/B097FC9C27,,, +Modway Parcel Upholstered Fabric Parsons Dining Side Chair in Beige,https://m.media-amazon.com/images/I/41f8WNXejUL._SS522_.jpg,Modern,Foam,Beige,https://www.amazon.com/dp/B00SMM4H98,,, diff --git a/examples/data/items_tagged_and_captioned_embeddings.csv b/examples/data/items_tagged_and_captioned_embeddings.csv new file mode 100644 index 0000000..718aee7 --- /dev/null +++ b/examples/data/items_tagged_and_captioned_embeddings.csv @@ -0,0 +1,110 @@ +title,primary_image,style,material,color,url,keywords,img_description,caption,embedding +"GOYMFK 1pc Free Standing Shoe Rack, Multi-layer Metal Shoe Cap Rack With 8 Double Hooks For Living Room, Bathroom, Hallway",https://m.media-amazon.com/images/I/416WaLx10jL._SS522_.jpg,Modern,Metal,White,https://www.amazon.com/dp/B0CJHKVG6P,"['shoe rack', 'free standing', 'multi-layer', 'metal', 'with hooks', 'white']","This is a free-standing shoe rack featuring a multi-layer design, constructed from metal for durability. The rack has a sleek white finish that gives it a clean, modern look, suitable for various home decors. It includes multiple tiers dedicated to shoe storage, allowing for an organized display of footwear. Additionally, the rack is equipped with 8 double hooks, providing ample space for hanging items such as hats, scarves, and bags. This functional piece is versatile enough to be used in a living room, bathroom, or hallway, offering both storage and hanging solutions in a compact form.","White metal free-standing shoe rack with multiple tiers for shoes and 8 double hooks for accessories, suitable for various home settings.","[-0.06596625, -0.026769113, -0.013789515, -0.029659675, -0.00046474155, -4.4537734e-05, -0.0039064474, -1.5968673e-05, 0.021686194, 0.02366909, -0.007463793, -0.009118535, 0.010082055, -0.028039843, -0.009558403, -0.007910643, -0.0056763925, -0.021281235, 0.0010813423, -0.04434987, 0.015164975, -0.029631747, 0.005508824, -0.013342665, 0.021616373, -0.02225872, -0.0016093586, -0.020527177, 0.0019602056, 0.06389956, 0.0029918011, 0.0052051055, 0.014843802, 0.017804183, -0.047785033, 0.028765975, 0.026629472, 0.013314736, 0.04217148, 0.015220831, 0.039211094, 0.02235647, -0.014829838, 0.014089742, 0.03225699, 0.012009096, 0.0028765975, 0.014550556, 0.021616373, -0.02507946, 0.009397816, 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The chairs are upholstered in a leather-like material, giving them a sleek and sophisticated appearance. They have a high back design with subtle stitching details that create vertical lines, adding to their elegance. The legs of the chairs are straight and also finished in black, which complements the overall design. These chairs would be suitable for a modern or contemporary dining room setting.",Set of 2 sleek black faux leather dining chairs with vertical stitching details.,"[-0.0077859573, -0.010376813, -0.01928079, -0.002898813, -0.009084732, 0.0045055454, -0.0039833575, 0.016656458, -0.023110168, 0.008100609, 0.034062725, -0.017834729, -0.029778106, -0.04091812, 0.014755159, -0.015986986, -0.036901288, -0.0059147836, 0.03301835, -0.006888865, 9.957086e-06, -0.0063465927, 1.0375506e-05, -0.012164303, -0.046461344, 0.0031666018, 0.012800301, 0.0033942221, 0.0013615383, -0.00059708516, 0.0061926143, 0.025868392, 0.0046360926, 0.019977039, -0.013965182, 0.017741004, -0.015545135, -0.023726081, 0.048094857, 0.05607496, 0.007919852, 0.008415261, -0.058592174, 0.018892495, 0.007216906, 0.015036337, 0.03090282, 0.023003051, -0.014393644, -0.03400917, -0.03706196, -0.0074445265, -0.04370312, -0.014407034, 0.04413158, 0.019401293, 0.016830523, 0.08853095, -0.0067148022, 0.019789588, 0.0038561577, 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-0.0033138855, 0.024181323, 0.00025879272, 0.026524473, -0.0057641524, -0.008348314, 0.024047429, 0.0034377377, 0.009720731, 0.009359216, -0.012478955, -0.007966715, 0.0022778779, -0.00039164102, -0.021476656, 0.005891352, -0.024328606, 0.012532513, -0.0119634615, 0.025319424, 0.0027799818, -0.002339804, 0.0028954656, -0.00264274, 0.008006883, -0.0011113232, 0.0071901274, -0.006487182, -0.019187063, 0.011300684, -0.016589511, 0.005971689, -0.016710017, -0.00094228156, -0.023244062, 0.01616105]" +"Plant Repotting Mat MUYETOL Waterproof Transplanting Mat Indoor 26.8"" x 26.8"" Portable Square Foldable Easy to Clean Gardening Work Mat Soil Changing Mat Succulent Plant Transplanting Mat Garden Gifts",https://m.media-amazon.com/images/I/41RgefVq70L._SS522_.jpg,Modern,Polyethylene,Green,https://www.amazon.com/dp/B0BXRTWLYK,"['plant repotting mat', 'waterproof', 'portable', 'foldable', 'easy to clean', 'gardening work mat', 'soil changing mat', 'succulent transplanting mat', 'green']","This is a square plant repotting mat designed for indoor gardening tasks such as transplanting or changing soil for plants. It measures 26.8 inches by 26.8 inches, providing ample space for gardening activities. The mat is made from a waterproof material in a vibrant green color, which helps to contain soil and water spills, making the cleanup process easier. The edges of the mat are raised with built-in corner loops, which can be used to secure the mat in a folded position or to hang it for storage. The mat's surface is smooth, facilitating easy cleaning. This mat is a practical accessory for gardening enthusiasts, providing a convenient and tidy workspace for handling plants, especially succulents. It's also portable, allowing gardeners to fold it up and take it with them as needed, and it can serve as a thoughtful gift for those who enjoy gardening.",Waterproof green square plant repotting mat,"[-0.023248248, 0.005370147, -0.0048999498, -0.022583608, 0.019797778, -0.003429258, 0.0039135963, -0.0022078056, -0.026415892, -0.0071766945, -0.020773524, -0.03328855, -0.008831223, -0.0068974043, 0.04443187, -0.008986777, 0.012557448, -0.009191825, 0.00045517212, -0.023983594, 0.0048999498, -0.04641165, -0.013285723, 0.049579293, 0.015937211, -0.012684719, 0.006968111, -0.010224138, 0.0008564307, 0.043272287, 0.045025803, -0.007961535, -0.0143604595, 0.02027858, -0.008732234, -0.044290457, -0.009891818, 0.027335074, -0.020900797, 0.02995121, 0.012189775, 0.045676302, 0.024860352, 0.029046169, -0.0010296612, 0.028918896, 0.017224066, -0.018397791, -0.026939118, 0.02983808, -0.016177613, -0.006126705, 0.008378702, -0.019642225, 0.028268399, 0.039171316, -0.0033673898, 0.09932828, 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0.024704799, -0.0062080175, 0.010549387, 7.45731e-05, 0.022809869, 0.009552428, 0.01614933, 0.0038287488, -0.02026444, 0.024195712, 0.00612317, -0.0032542597, -0.022230076, -0.0059181214, 0.0040726857, -0.011185745, 0.0022979563, 0.029979492, -0.0116311945, 0.011150391, 0.02215937, -0.01347663, 0.007509014, -0.008534256, 0.0039666262, 0.02150887, 0.010033231, -0.012062503, 0.02027858, -0.00021587532, -0.003377996, -0.0036183973, 0.0035406204]" +"Pickleball Doormat, Welcome Doormat Absorbent Non-Slip Floor Mat Bathroom Mat 16x24",https://m.media-amazon.com/images/I/61vz1IglerL._SS522_.jpg,Modern,Rubber,A5589,https://www.amazon.com/dp/B0C1MRB2M8,"['doormat', 'absorbent', 'non-slip', 'brown']","This is a rectangular doormat featuring a playful design, ideal for pickleball enthusiasts. The mat has a natural coir fiber construction, known for its durability and excellent scraping properties to remove dirt and debris from shoes. The background color is the natural brown of coir, providing a rustic and welcoming look. + +The doormat is adorned with the phrase ""it's a good day to play PICKLEBALL"" in bold, black lettering, which stands out against the coir material for easy readability. Below the text, there is a graphic of two pickleball paddles crossed over a pickleball, adding a thematic touch to the design. + +Measuring approximately 16x24 inches, this doormat is a suitable size for most entryways. It is described as absorbent, which suggests it can help in keeping moisture from shoes from entering the home. The non-slip feature implies that the mat has a backing that prevents it from sliding around, providing safety and stability on various floor surfaces. It is also mentioned as a floor mat for the bathroom, indicating it could be versatile for indoor use as well.",Pickleball-themed coir doormat with playful design,"[-0.028953036, -0.026369056, -0.011363288, 0.018227959, -0.012281691, -0.015036899, -0.009355255, -0.012196077, -0.024376588, 0.0030451277, -0.0072149094, -0.005261358, 0.016920403, -0.017729843, 0.0030548566, -0.013441369, -0.014678878, 0.0021461826, -0.052800376, -0.03782574, 0.010655029, -0.011487817, -0.031568147, -0.006043557, 0.01782324, 0.004374088, -0.02230629, -0.0048799873, -0.01980014, 0.057190027, 0.052520182, 0.012764242, -0.00959653, 0.015830772, -0.049811672, -0.0090128, -0.006891912, 0.03418326, 0.0063081817, 0.015589497, -0.013363538, -0.02311573, 0.008732609, 0.00465817, -0.034152128, 0.01420411, 0.01012578, 0.01541827, 0.02347375, -0.026602548, 0.020064766, -0.023722809, 0.000815277, -0.0027046183, 0.023458185, 0.02218176, -0.009604313, 0.08561382, 0.023240259, 0.0048449636, -0.030571915, -0.030618614, 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The trays are designed for eating or as snack tables and are ideal for small spaces due to their foldable nature. Each tray features a grey wood grain finish on the tabletop, providing a modern and neutral aesthetic that can complement various interior decor styles. The frames and legs of the trays are made of black iron, offering sturdy support and a sleek contrast to the grey tabletops. The X-shaped leg design allows for easy folding and storage, and the overall minimalist design ensures that the trays can be conveniently tucked away when not in use. The set includes a matching stand to keep the trays organized and accessible.","Set of two foldable TV trays with grey wood grain finish and black iron legs, including a matching stand for easy storage.","[-0.030723095, -0.0051356032, -0.027088132, 0.007917534, 0.00032859156, -0.0072490345, -0.010069264, 0.013801716, -0.0027140358, 0.03111305, -0.004160709, 0.0022004754, -0.016489638, -0.03623821, 0.020305654, -0.028829014, -0.0026461415, 0.0091361515, 0.003997066, -0.035987522, 0.039524995, -0.027352745, 0.002771485, -0.015472963, -0.022199733, -0.01286164, 0.022478275, -0.020514559, -0.021684432, 0.0023902317, -0.0304167, -0.0053793266, 0.0014423211, -0.01193549, -0.037157394, 0.018341938, -0.00029595, 0.044371612, 0.01274326, 0.008996881, -0.021754067, 0.04239397, -0.024650896, 0.0049719606, 0.018578697, 0.0016860447, 0.005410663, -0.013787789, -0.009533073, -0.02136411, -0.006476083, -0.0133978315, 0.015974337, 0.030862365, -0.010814362, -0.019330759, 0.015765432, 0.105511405, 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0.009658416, 0.005581269, 0.021684432, 0.00696353, 0.008008059, -0.0020907999, -0.005866774, 0.016266806, -0.00755543, -0.02169836, -0.004146782, 0.014665194, 0.016921377, 0.001229063, 0.002073391, 0.010605456, -0.00684515, -0.0012621398, 0.009776796, -0.013578883, 0.002874197, -0.009512182, 0.0255283, 0.0014257828, 0.030249573, -0.017687365, -0.005487262, 0.007360451, -0.008230892, -0.0010297319, 0.004992851]" +"LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Storage Cabinet with 3-Drawers on The Left, Suitable for Bathrooms, Kitchens, Laundry Rooms and Other Places.",https://m.media-amazon.com/images/I/41zMuj2wvvL._SS522_.jpg,"Soft-closing Switch, Soft-closing Switch",Wood,Cameo Scotch,https://www.amazon.com/dp/B0C9WYYFLB,"['bathroom vanity', 'sink base cabinet', 'storage', '3-drawers', 'wood', 'brown']","This is a LOVMOR 30-inch bathroom vanity sink base cabinet featuring a rich, wood-toned finish. The cabinet is designed with three drawers on the left side, providing ample storage space for bathroom essentials, personal items, or cleaning supplies. The drawers appear to have recessed panel fronts and sleek handles, which contribute to the cabinet's classic and elegant look. The right side of the cabinet has a large door, likely concealing additional storage space. This versatile cabinet is not only suitable for bathrooms but can also be used in kitchens, laundry rooms, and other areas of the home where extra storage is needed. The overall design suggests a traditional style that would complement a variety of interior decors.",Traditional LOVMOR 30-inch bathroom vanity sink base cabinet with a rich wood finish and ample storage.,"[-0.04562498, 0.02452956, -0.013000666, -0.009653103, 0.008671921, 0.030964961, 0.033793073, 0.0030337293, -0.031397834, 0.029752912, 0.00961703, -0.000597908, -0.051454358, -0.033302482, 0.013974634, 0.024111113, -0.015698917, 0.012207063, -0.026549641, -0.009054293, 0.027271098, 0.013909703, 0.019147485, 0.022985639, 0.022740344, -0.008159686, 0.0055552237, -0.0024150794, 0.0011498231, 0.026102336, 0.04940542, 0.02535202, 0.007712382, 0.047587343, -0.032581028, -0.008289548, 0.012005054, 0.06550835, 0.030012637, 0.042970017, -0.00493477, -0.02859858, -0.022927923, 0.012704869, 0.05650456, 0.0077556693, -0.019363923, 0.0173727, 0.017213978, -0.0394493, -0.023519518, -0.03982446, -0.0033980655, -0.0350917, 0.0039211223, 0.0078855315, 0.017213978, 0.09552099, 0.020330675, 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-0.0036036808, 0.015756635, 0.005796912, 0.009011006, -0.00090317475, -0.012878018, 0.010309629, -0.005930382, 0.008217402, 0.008823426, -0.020979987, -0.020474967, 0.015121751, 0.0150784645, -0.03656347, 0.0012427107, 0.0003717761, 0.00032059773, 0.0056165475, 0.008744067, 0.01335418, 0.006788916, -0.0131161, -0.00655805, -0.0067456285, -0.03249445, -0.011370172, -0.011831905, -0.00031969592, -0.0009883969]" +"Folews Bathroom Organizer Over The Toilet Storage, 4-Tier Bathroom Shelves Over Toilet Shelf Above Toilet Storage Rack Freestanding Bathroom Space Saver Adjustable Shelves and Baskets, Black",https://m.media-amazon.com/images/I/41ixgM73DgL._SS522_.jpg,Classic,,,https://www.amazon.com/dp/B09NZY3R1T,"['over-the-toilet storage', '4-tier', 'adjustable shelves', 'freestanding', 'bathroom space saver', 'metal', 'black']","This is a 4-tier bathroom organizer designed to fit over a standard toilet, providing a space-saving storage solution. The unit features a sturdy metal frame with a black finish that offers both durability and a sleek, modern aesthetic. The organizer includes four shelves, with the two upper shelves being flat and ideal for storing items such as towels, toiletries, or decorative objects. The third shelf includes a woven basket, adding a touch of rustic charm and providing a convenient spot for smaller items that might otherwise fall through a wire shelf. The bottom shelf is also flat and can be used for additional storage. + +The design of this over-the-toilet storage rack is freestanding, meaning it does not require wall mounting, which makes it a versatile choice for renters or those who prefer not to drill into walls. The shelves are adjustable, allowing for customization based on the height of the items being stored. This feature also makes it easy to accommodate taller items if necessary. The overall structure is designed to maximize the use of vertical space in a bathroom, making it a practical addition for organizing and decluttering.","Modern 4-tier black metal bathroom organizer with adjustable shelves and a woven basket, designed to fit over a standard toilet for space-saving storage.","[-0.045349654, -0.002332594, -0.01731825, -0.018566776, -0.007712663, 0.0020540252, -0.0034837876, -0.0035710502, -0.012565801, 0.024514051, -0.007739513, -0.035495702, -0.009759976, -0.025789427, -0.010974938, -0.01721085, 0.004651763, 0.0087531, 0.017667301, -0.037509453, 0.038959354, 1.5811085e-05, -0.003166622, 0.013948576, -0.023480326, -0.016391926, 0.020795327, 0.0025457158, -0.0316293, 0.011082338, -0.007994588, 0.005749257, -0.01758675, 0.010592326, -0.037026152, 0.022701677, 0.009444488, 0.03573735, 0.035092954, 0.0318441, 0.029159103, -0.008746388, 0.0068601756, 0.04658475, 0.023010451, -0.028380452, 0.007826775, -0.003354572, -0.0030659346, -0.028568402, 0.004436963, 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multi-layer design, ideal for organizing footwear in a living room, bathroom, or hallway. The rack is constructed from metal, providing a sturdy and durable frame. It is finished in a clean white color, which gives it a modern and versatile look that can blend with various interior decors. + +The rack includes several horizontal tiers, each designed to hold multiple pairs of shoes, making it a space-efficient solution for shoe storage. Additionally, the top part of the rack is equipped with 8 double hooks, which can be used to hang items such as hats, scarves, or bags. This added functionality makes the rack a multifunctional piece of furniture, not only serving as shoe storage but also as a convenient spot to hang various accessories. + +The overall design is sleek and minimalistic, with an emphasis on functionality and space-saving. It would be a practical addition to any home, helping to keep shoes and accessories neatly organized and easily accessible.","White metal free-standing shoe rack with multiple tiers for shoes and 8 double hooks for accessories, offering a sleek and space-efficient storage solution.","[-0.065514736, -0.028505344, -0.013560319, -0.03320495, -0.0059898985, -0.007930584, 0.0009554815, 0.008175354, 0.00084140064, 0.018448748, -0.0065039177, -0.014392541, 0.017553585, -0.027316455, -0.017189926, -0.0065843426, 0.00050178077, -0.014952018, 0.015329665, -0.036393967, 0.019833453, -0.021525871, 0.020994367, -0.017189926, 0.010469209, -0.02411345, -0.0073781004, -0.013504372, -0.0072871856, 0.058465328, -0.012881953, 0.011672085, 0.0009345011, 0.018910317, -0.04487004, 0.036086254, 0.022113321, 0.013364502, 0.04014246, 0.02484077, 0.035442855, 0.00990274, -0.03219789, 0.017959205, 0.03328887, -0.0001977838, -0.00029656643, 0.0044618277, 0.010175484, -0.025358286, 0.017203912, -0.004741566, 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The chairs are upholstered in black faux leather, which gives them a sleek and modern appearance. The design includes a high backrest with subtle stitching details that create vertical lines, adding an element of texture and sophistication. The legs of the chairs are also black, maintaining a uniform and elegant look. These chairs would complement a modern dining room setting with their clean lines and minimalist style.",Set of 2 contemporary black faux leather dining chairs with vertical stitching details.,"[-0.002382491, -0.0029274838, -0.019191649, 0.0027183779, -0.0021750317, 0.007158999, 9.647483e-05, 0.010168808, -0.023064226, 0.003418142, 0.03735588, -0.01887552, -0.035380077, -0.038778458, 0.01932337, -0.01952095, -0.03432631, -0.0040174695, 0.024447288, -0.0112489145, 0.0073434073, -0.0049856137, -0.002402249, -0.004702415, -0.037724696, 0.001898419, 0.011393807, -0.00552896, 0.008285208, 0.0011541992, 0.0020844738, 0.02672605, 0.00045731643, 0.019428745, -0.0146077825, 0.016201599, -0.015147835, -0.01307324, 0.059432205, 0.05092307, 0.0045212996, 0.011183054, -0.04707684, 0.011650661, 0.00762002, 0.01381746, 0.028056426, 0.025856696, -0.011637489, -0.02509272, -0.038620394, -0.013474988, -0.045996733, -0.015279556, 0.040306415, 0.021654818, 0.008127143, 0.08603971, -0.0029488883, 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0.0017963357, 0.010715447, 0.012454155, -0.008680369, -0.0043764072, 0.0028929072, -0.0016275691, -0.023261806, -0.0029916975, -0.024658041, 0.011979962, -0.012559531, 0.030374704, -0.0011591387, 0.0012892125, 0.00030089857, -0.0037210986, 0.008601336, 0.001898419, 0.0087923305, -0.009760475, -0.01855939, 0.00920725, -0.010656173, 0.010142464, -0.010913027, 0.004290789, -0.016912887, 0.011512355]" +"Plant Repotting Mat MUYETOL Waterproof Transplanting Mat Indoor 26.8"" x 26.8"" Portable Square Foldable Easy to Clean Gardening Work Mat Soil Changing Mat Succulent Plant Transplanting Mat Garden Gifts",https://m.media-amazon.com/images/I/41RgefVq70L._SS522_.jpg,Modern,Polyethylene,Green,https://www.amazon.com/dp/B0BXRTWLYK,"['plant repotting mat', 'waterproof', 'portable', 'foldable', 'green']","This is a square plant repotting mat designed for indoor gardening tasks such as transplanting or changing the soil of plants. The mat measures 26.8 inches by 26.8 inches and is made from a waterproof material, which appears to be a durable, easy-to-clean fabric in a vibrant green color. The edges of the mat are raised with integrated corner buttons to help contain soil and water, making the repotting process neater. The mat is foldable and portable, making it convenient for storage and use in various locations. It is suitable for a range of gardening activities, particularly for working with succulents and other small plants. This mat could be a practical gift for gardening enthusiasts.","Square, waterproof, green plant repotting mat","[-0.021039985, 0.012103724, -0.007503019, -0.024809409, 0.015092033, -0.011365605, 0.0073740273, -0.00026918066, -0.033021882, 0.0038948336, -0.0019850393, -0.029238125, -0.011293943, -0.0023809723, 0.039156158, -0.01732789, 0.021742273, -0.0043642204, 0.0030330971, -0.025368374, 0.00011281178, -0.059794832, -0.011996231, 0.05598241, 0.0003401709, -0.00046132458, 0.00837013, -0.015951978, 0.01691225, 0.025884341, 0.042653266, -0.0071447087, -0.0048443563, 0.029352786, -0.027088264, -0.03299322, -0.009667214, 0.031072674, -0.022014588, 0.040216755, 0.01543601, 0.06375058, 0.014561733, 0.017184565, 0.0014654894, 0.038124222, 0.02356249, -0.007918659, -0.021641945, 0.022430228, -0.01929143, -0.002058493, -0.0048909364, -0.008140812, 0.02023737, 0.025067393, -0.003541898, 0.1304823, 0.018230831, 0.012476367, -0.019750068, -0.018804127, 0.037006296, 0.0016034389, -0.0032230017, 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0.004496795, -0.01555067, 0.014490071, 0.009531056, -2.3150209e-05, -0.018775463, -0.0039199153, 0.0017037658, -0.011702416, 0.009280238, 0.026314313, -0.009488058, 0.014339581, 0.012956503, -0.014791052, 0.009609884, -0.013644459, 0.0038088392, 0.014095929, 0.0015882107, -0.012268547, 0.020079713, 0.011086123, 0.0068652267, -0.0005907642, 0.013544132]" +"Pickleball Doormat, Welcome Doormat Absorbent Non-Slip Floor Mat Bathroom Mat 16x24",https://m.media-amazon.com/images/I/61vz1IglerL._SS522_.jpg,Modern,Rubber,A5589,https://www.amazon.com/dp/B0C1MRB2M8,"['doormat', 'absorbent', 'non-slip', 'brown']","This is a rectangular doormat featuring a playful design that caters to pickleball enthusiasts. The mat's primary color is a natural coir brown, providing a neutral and earthy tone that complements various entryway decors. Emblazoned across the mat in bold, black lettering is the phrase ""it's a good day to play PICKLEBALL,"" with the word ""PICKLEBALL"" being prominently displayed in larger font for emphasis. Below the text, there is a graphic of two crossed pickleball paddles in black, which adds a thematic touch to the design. + +The doormat appears to be made of coir, a durable and absorbent material derived from coconut husks, which is excellent for scraping shoes clean. The size is specified as 16x24 inches, making it a suitable size for a standard doorway. The description mentions that it is non-slip, suggesting that the underside of the mat has a gripping feature to keep it in place on various floor surfaces. Additionally, it is described as absorbent, indicating that it can effectively capture moisture and prevent it from being tracked indoors. The mat could also be used in a bathroom setting due to its absorbent qualities.","Rectangular coir doormat with ""it's a good day to play PICKLEBALL"" message","[-0.016413927, -0.040631194, -0.0075043635, 0.0022815806, -0.020330546, -0.018446982, -0.0012304839, 0.011734911, -0.030107148, 0.014268755, -0.0036699625, -0.009253388, 0.030256636, -0.016189693, -0.007448305, -0.009821448, -0.028761744, 0.0070895306, -0.04206629, -0.031721633, 0.0073885093, -0.015016202, -0.021885235, 0.012639321, 0.021197585, 0.0017378132, -0.025786906, -0.009634586, 0.01042688, 0.03285775, 0.037043452, 0.016473722, 0.0040063136, 0.01650362, -0.04951086, 0.009701856, -0.005183542, 0.025771957, 0.0023731429, 0.016413927, -0.0026814647, -0.004959308, -0.011316341, 0.017564993, -0.050019123, 0.011832079, 0.02406778, 0.025936395, 0.0022927923, -0.036176413, -0.0009586002, -0.010053156, -0.0030757426, -0.0026291432, 0.007721123, 0.031093776, -0.0202857, 0.0657155, 0.01623454, 0.027610676, -0.03850845, 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-0.0062224925, 0.0054787835, -0.021855338, -0.016862394, 0.023753852, 0.008371402, -0.0062374417, 0.004940622, -0.010180222, -0.022617733, -0.022572886, -0.007609006, -0.017251067, -0.018312441, 0.01056142, 0.011495728, -0.0081695905, -0.01287103, 0.022438345, 0.0130055705, -0.015016202, 0.003161699, 0.00019048208]" +"JOIN IRON Foldable TV Trays for Eating Set of 4 with Stand,Folding TV/Snack Tray Table Set,Folding TV Dinner Tables for Small Space,(Grey)",https://m.media-amazon.com/images/I/41p4d4VJnNL._SS522_.jpg,X Classic Style,Iron,Grey Set of 4,https://www.amazon.com/dp/B0CG1N9QRC,"['tv tray table set', 'foldable', 'metal', 'grey']","This image showcases a set of four foldable TV trays with a stand, designed for eating or as snack tray tables. The tables are finished in a grey tone, which gives them a modern and neutral look that can easily blend with various interior decors. Each tray features a rectangular top with a wood grain texture, supported by a sturdy iron frame with an A-shaped folding mechanism, allowing for easy storage and portability. The stand included in the set provides a convenient way to keep the tables organized and readily accessible when not in use. These tables are practical for small spaces, offering a temporary dining surface or a place to hold snacks during TV viewing or other activities.","Set of four foldable TV trays with stand, featuring a modern grey wood grain finish and sturdy iron frame, ideal for dining or snacks in small spaces.","[-0.031026203, 0.009180393, -0.029263351, 0.019377816, 0.007505683, -0.010522873, -0.014523192, 0.004939377, 0.004102022, 0.02988713, 0.0067700315, -0.0021662745, -0.002818869, -0.031026203, -0.010210984, -0.03799625, 0.0031070274, 0.0044240816, 0.0050953217, -0.030456666, 0.043881465, -0.016638616, 0.006315758, -0.016096199, -0.014401149, -0.019201532, 0.019445619, -0.019743947, -0.02953456, -0.0045935865, -0.024774857, -0.0031799148, -0.0071056513, -0.019906672, -0.031378776, 0.02785307, 0.001329767, 0.036694452, 0.01848283, 0.016489452, -0.027147928, 0.032029673, -0.021344075, 0.010455071, 0.0073768594, -0.0111195315, 0.011865353, -0.022252623, 0.009417701, -0.02317473, -0.02387987, 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0.025222352, 0.02557492, -0.016041957, 0.0076751886, 0.0019730388, -0.0007869272, 0.017587844, -0.009112591, 0.010807642, 0.00051190524, -0.0038850557, 0.029181989, 0.006447972, 0.006685279, 0.0025646114, 0.00078353705, 0.012536593, -0.008807482, -0.012238264, -0.006983608, 0.019364256, 0.0057021496, -0.0035867267, 0.006990388, 0.006234396, -0.008034539, -0.009417701, 0.011316157, -0.0072005745, 0.006444582, -0.0037630121, 0.01410282, 0.0052987277, 0.037535198, -0.018577753, 0.0053326287, 0.0154859815, -0.00027968333, -0.0020883023, -0.012367088]" +"LOVMOR 30'' Bathroom Vanity Sink Base Cabine, Storage Cabinet with 3-Drawers on The Left, Suitable for Bathrooms, Kitchens, Laundry Rooms and Other Places.",https://m.media-amazon.com/images/I/41zMuj2wvvL._SS522_.jpg,"Soft-closing Switch, Soft-closing Switch",Wood,Cameo Scotch,https://www.amazon.com/dp/B0C9WYYFLB,"['bathroom vanity', 'sink base cabinet', 'storage', '3-drawers', 'wood', 'brown']","This is a LOVMOR 30'' Bathroom Vanity Sink Base Cabinet featuring a classic design with a rich brown finish. The cabinet is constructed with three drawers on the left side, offering ample storage for bathroom essentials, personal items, or cleaning supplies. The drawers appear to have recessed panel fronts and sleek handles, which contribute to the cabinet's traditional aesthetic. The right side of the cabinet has two doors with matching recessed panels and handles, concealing additional storage space. This versatile cabinet is suitable not only for bathrooms but also for kitchens, laundry rooms, and other areas where extra storage is needed. The overall design suggests durability and functionality, making it a practical addition to any home.","LOVMOR 30'' Bathroom Vanity Sink Base Cabinet with a classic brown finish, featuring three drawers and two doors for ample storage, suitable for bathrooms, kitchens, and laundry rooms.","[-0.0450759, 0.016004013, -0.011344791, -0.004890115, 0.010696911, 0.023737218, 0.041436747, 0.0009821585, -0.025143256, 0.028975397, 0.011537777, -0.005541441, -0.048466932, -0.029444076, 0.0039320798, 0.016169429, -0.01378468, -0.0012397596, -0.036391553, 0.0021659178, 0.026287384, 0.023089338, 0.017161926, 0.016817309, 0.015466411, -0.0029671523, 0.010669342, -0.006651108, 0.00249675, 0.018650671, 0.038927935, 0.017396266, 0.0032979846, 0.03953446, -0.030712266, -0.015645612, -0.00029077058, 0.06456744, 0.013577909, 0.036501832, 0.012633659, -0.025474088, -0.03098796, 0.017699528, 0.05329157, 0.021903856, -0.038045716, 0.016431337, 0.010793404, -0.049073458, -0.019022858, -0.039065782, 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a space-saving storage solution. The unit is constructed with a sturdy metal frame in a black finish, which offers both durability and a sleek, modern look. The design includes four shelves that provide ample space for storing bathroom essentials such as towels, toiletries, and cleaning supplies. The shelves are adjustable, allowing for customization based on the height of the items being stored. Additionally, the organizer features baskets that can be used to hold smaller items, ensuring they are neatly contained and easily accessible. The freestanding design means it can be placed over the toilet without the need for wall mounting, making it a versatile and convenient addition to any bathroom.","Black metal 4-tier bathroom organizer with adjustable shelves and baskets, designed to fit over a standard toilet for space-saving storage.","[-0.040769104, -0.008776311, -0.018768216, -0.023136333, -0.004712091, 0.005603748, 0.007934747, -0.0045417743, -0.013511779, 0.020277686, -0.011120669, -0.032166447, -0.01590957, -0.027651392, -0.005974437, -0.010546267, 0.013892487, 0.004408193, 0.010659812, -0.04159731, 0.038150907, -0.002372743, -0.008696162, 0.012710289, -0.021119252, -0.015228302, 0.020999027, 0.00049926125, -0.024712596, 0.0024712596, -0.008322134, 0.010392648, -0.011361115, 0.017779712, -0.03376943, 0.023042826, -0.0026733018, 0.0347045, 0.03796389, 0.023510361, 0.035265543, -0.0067993035, 0.009698024, 0.044135362, 0.023403496, -0.025580876, 0.012075776, -0.0025848038, -0.010900259, -0.025273638, 0.005894288, 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-0.013571891, 0.0031041023, -0.006872773, 0.0030740467, -0.015615689, 0.017539265, -0.0019486216, -0.0084891105, -0.01502793, -0.011768539, 0.0022024265, 0.010853505, 0.008475753, 0.0037002102, 0.01415965, -0.0049558775, 0.002788516, 0.010566304, -0.0127303265, 0.0040608807, -0.0056571807, -0.011127347, -0.0065388195, -0.00885646, 0.006475368, -0.012503237, -0.0045183976, -0.014493603, 0.0149077065, 0.016443895, 0.0040708994, 0.015068005, 0.006134735, 0.017766353, 0.018327396, -0.0061881677, -0.0039773923, 0.0021423148, 0.001640549, -0.013932561, -0.024392]" +"Lerliuo Nightstand, Side Table, Industrial Bedside Table with 2 Drawers and Open Shelf, Grey Night Stand, End Table with Steel Frame for Bedroom, Dorm, Gray/Black 23.6''H",https://m.media-amazon.com/images/I/41IzLmM91FL._SS522_.jpg,Classic,Stone,Grey,https://www.amazon.com/dp/B09PTXGFZD,"['nightstand', 'side table', 'bedside table', 'industrial', '2 drawers', 'open shelf', 'steel frame', 'grey', 'black', '23.6 inches height']","This is a Lerliuo nightstand featuring an industrial design. The bedside table has a sturdy steel frame in black, providing a strong contrast to the grey wood-look panels that make up the drawers and tabletop. It includes two drawers with black round knobs for easy opening, offering ample storage space for personal items. Above the drawers, there is an open shelf that provides additional space for books or decorative items. The overall dimensions are approximately 23.6 inches in height, making it suitable for most bed heights. The combination of grey and black gives this nightstand a modern and versatile look that can fit into various bedroom decors, from contemporary to rustic.","Industrial-style Lerliuo nightstand with a black steel frame and grey wood-look panels, featuring two drawers and an open shelf.","[-0.0060645025, 0.0077090506, -0.021153694, -0.016349396, 0.0009275991, -0.03881873, 0.009061646, 0.027229283, -0.026623202, 0.017265908, 0.02257281, -0.0037695263, -0.025839733, -0.024391053, 0.004382998, 0.02660842, -0.02076935, -0.002633125, 0.0014754739, -0.010029896, 0.04422911, -0.040533494, 0.008514695, 0.0019605232, -0.009320338, -0.009069037, 0.044199545, -0.007036449, -0.0331127, 0.0028012753, -0.022661505, -0.0013036279, -0.0003561648, -0.010162938, -0.030481424, 0.0026774723, -0.002307911, 0.031930104, 0.043903895, 0.027643193, 0.023681495, 0.030023169, -0.03027447, 0.015211147, 0.020621525, -0.015595491, 0.02882579, -0.003342683, -0.0015835706, -0.025189305, -0.008396435, -0.014597675, 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0.0021822602, 0.0073875324, 0.020843264, -0.0040651755, 0.04003089, -0.010244242, -0.0115303155, -0.020931957, -0.008943385, -0.008810344, -0.033703998, -0.014331591, 0.0047414727, 0.019749362, 0.0122177, 0.015935488, 0.011057277, 0.027569281, -0.018093726, -0.016142443, -0.0004748864, -0.004519736, 0.003745505, 0.021685863, 0.0017203083, -0.0069181896, 0.011803791, -0.023104979, 0.0018524266, -0.012321177, 0.0023430192, -0.034768336, -0.024391053, 0.0056875497, 0.0144794155, -0.0012232482, 0.012491175, -0.005166468, -0.0032318144, -0.0038434386, -0.028382316, 0.009120775, 0.0075390525]" +Boss Office Products Any Task Mid-Back Task Chair with Loop Arms in Grey,https://m.media-amazon.com/images/I/41rMElFrXBL._SS522_.jpg,Loop Arms,Foam,Grey,https://www.amazon.com/dp/B002FL3LL2,"['office chair', 'mid-back', 'task chair', 'loop arms', 'grey', 'fabric', 'swivel', 'adjustable height']","This is a mid-back task chair designed for office use, featuring loop arms for added comfort. The chair is upholstered in a grey fabric that offers a neutral look, suitable for various office decors. Its backrest and seat are contoured to provide support and comfort during extended periods of sitting. The chair includes a pneumatic height adjustment lever, allowing the user to modify the seat height to their preference. The five-star base with caster wheels ensures easy mobility across different floor surfaces. The loop arms are made of durable black plastic, which complements the chair's overall design and provides a place to rest your arms while working.",Mid-back grey fabric office task chair with loop arms and pneumatic height adjustment.,"[-0.032540575, -0.010245677, -0.018818276, 0.0048465505, -0.016300987, 0.018373147, 0.013476711, 0.028687894, -0.01693031, 0.012271788, 0.009961714, -0.014067659, -0.0068458007, 0.009785197, -0.007440587, -0.0108443005, -0.054121733, 0.0029393963, 0.023806809, -0.03386062, 0.018588036, -0.012432956, -0.024635673, 0.029777698, -0.024958009, -0.0023465287, 0.04322371, 0.0077821095, 0.013215772, 0.045434013, -0.016607974, 0.04371489, 0.03336944, 0.04644707, 0.014704657, -0.003442087, -0.028426956, -0.0006619398, 0.07496612, 0.020445306, 0.0005472995, 0.02471242, -0.004297812, -0.008027699, 0.015142113, -0.04319301, -0.0033941204, 0.0017517421, 0.03247918, 0.017114501, 7.974456e-05, 0.009861943, -0.012655522, 0.0033691777, 0.022824451, -0.00549506, 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0.010268701, 0.0014025449, 0.011964802, -0.0029739323, 0.031865206, -0.0017392708, 0.014612561, 0.017759172, -0.01762103, 0.02947071, 0.0040829214, -0.01188038, -0.008710744, 0.01625494, 0.010836626, 0.0006034205, 0.011181986, 0.016377734, -0.00089313905, 0.012087597, -0.011197335, 0.004531889, 0.01780522, -0.0031811483, 0.02970095, 0.0037356429, 0.017191248, -0.0014975189, 0.00474678, 0.022118382, -0.013139025, 0.0060361233, 0.009769848]" +"Kingston Brass BA1752BB Heritage 18-Inch Towel-Bar, Brushed Brass",https://m.media-amazon.com/images/I/21opezr3bUL._SS522_.jpg,Traditional,Brass,Brushed Brass,https://www.amazon.com/dp/B0B9PLM9P8,"['towel bar', 'brass', 'brushed brass', '18-inch', 'wall mounted']","This is the Kingston Brass BA1752BB Heritage 18-Inch Towel Bar in a brushed brass finish. The towel bar features a classic design with two ornate mounting brackets that provide a touch of elegance. The bar itself is a straight, cylindrical rod, perfect for hanging towels. The brushed brass finish gives it a warm, golden tone that exudes a vintage charm, making it suitable for traditional bathroom decors. The solid brass construction ensures durability and long-lasting use.",Classic 18-inch Kingston Brass towel bar,"[-0.0037963141, 0.022853605, -0.019824814, -0.012672737, 0.04020032, -0.0027551672, 0.02202757, 0.009705898, -0.01715397, 0.0077027665, 0.0021115493, -0.009279114, 0.0015978593, -0.03824537, -0.009341067, 0.046175297, -0.026281646, 0.02765837, 0.0045844885, 0.0012261441, 0.024133958, -0.03893373, 0.0019859232, 0.006993754, 0.0005377825, -0.012672737, 0.00552066, 0.019742211, 0.02451944, -0.022949975, 0.003727478, -0.005789121, 0.0045844885, 0.023101415, -0.02278477, -0.0038066397, 0.0042403075, 0.03995251, 0.022839839, 0.00043388293, 0.0007627907, -0.050112724, -0.047607087, 0.048570793, 0.033536978, -0.04069594, -0.014703404, 0.053637136, 0.008618287, -0.030012567, -0.014076995, -0.016080126, -0.03053572, -0.00021446765, 0.016025059, -0.023239087, -0.01452443, 0.12401523, 0.009086373, -0.010421795, -0.032490667, -0.0073585855, -0.00989864, 0.011130807, -0.035739735, 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-0.019714676, -0.0033282284, -0.0034177154, 0.021931201, 0.005568845, -0.021600787, 0.016740954, 0.0036620838, -0.023941217, 0.001281213, -0.03799756, 0.002509078, 0.019921185]" +Chief Mfg.Swing-Arm Wall Mount Hardware Mount Black (TS218SU),https://m.media-amazon.com/images/I/41HxUoRXloL._SS522_.jpg,,,Black,https://www.amazon.com/dp/B007E40Z5K,"['wall mount', 'swing-arm', 'hardware mount', 'black', 'metal']","This image shows the Chief Mfg. Swing-Arm Wall Mount, model TS218SU, which is a hardware mount designed for televisions or monitors. The mount is black in color and features a robust, articulated swing-arm design that allows for flexible positioning of the screen. The arm can extend, tilt, and swivel, providing a range of motion for optimal viewing angles. The wall plate and the mounting bracket are designed with multiple holes for secure attachment to the wall and the device, respectively. The construction appears to be made of durable metal, suitable for supporting the weight and size of compatible screens as specified by the manufacturer.",Black articulated swing-arm wall mount for TVs or monitors,"[0.009010704, 0.009890304, -0.012355954, -0.0045088152, -0.025238283, 0.052775994, -0.0394227, 0.008228068, -0.033660278, 0.025376804, 0.03668001, -0.015167904, 0.013720374, -0.010395901, 0.009211558, 0.024822725, 0.0048100953, 0.023021968, 0.020362392, -0.028008677, 0.029449282, -0.06986932, -0.04379992, 0.051473908, -0.020791803, -0.022454038, 0.015888207, -0.0057104733, -0.011649504, -0.0071060588, 0.020736394, -0.017702814, -0.021802995, 0.02705289, -0.013339444, -0.011040018, -0.010153492, 0.03753883, 0.025155172, 0.021442845, 0.011296279, -0.0010847822, -0.018118372, 0.0032171193, 0.012445992, -0.0035461036, -0.0064550163, -0.006403072, -0.017217996, -0.022246258, 0.022149295, -0.008733665, -0.059009377, 0.0015782585, 0.032884568, 0.004567686, 0.030031065, 0.09546775, 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-0.008636701, 0.012099693, 0.010395901, 0.009904156, 0.0235899, 0.010118862, -0.0052498956, -0.002091647, -0.00834581, 0.011504059, -0.008608998, 0.021151952, 0.028756684, -0.0013869281, 0.016594656, -0.0002253109, 0.009052261, -0.014530714, -0.013367148, -0.0073969504, 0.019697497, 0.018159928, 0.00628533, 0.008539737, 0.021041138, 0.016456136, -0.00831118, 0.006631629, -0.014987828, -0.025404507, -0.0039374214]" +"DOMYDEVM Black End Table, Nightstand with Charging Station, Bedside Table with Drawer, Small Side Table with USB Ports and Outlets for Bedroom",https://m.media-amazon.com/images/I/41YrmN-yOEL._SS522_.jpg,Modern,Metal,Black,https://www.amazon.com/dp/B0BFJGDHVF,"['end table', 'nightstand', 'charging station', 'bedside table', 'drawer', 'side table', 'usb ports', 'outlets', 'black', 'wood', 'metal mesh']","This is a black end table or nightstand featuring a built-in charging station. It is designed with a compact and functional structure, ideal for a bedroom setting. The table includes a top surface suitable for holding small items like a plant or a phone, as depicted in the image. Below the top, there is a drawer with a metal mesh front, providing storage while adding an industrial touch to the design. The drawer likely conceals the charging station, which includes USB ports and outlets for convenient device charging. Beneath the drawer, there is an open shelf, perfect for storing books or displaying decorative items. The table is supported by four sturdy legs, and the overall aesthetic is modern and minimalist, making it versatile for various decor styles. The inclusion of a charging station makes it a practical piece of furniture for the modern, tech-savvy user.","Modern black end table with built-in charging station, featuring a drawer and an open shelf, ideal for bedroom use.","[-0.028904365, 0.028333886, -0.013720797, -0.0049953647, -0.03809057, 0.012126376, -0.026929624, 0.015212825, 0.010458817, 0.03285385, 0.056697026, -0.027778031, -0.025569247, -0.02836314, 0.015198196, -0.02752936, -0.025905684, -0.019103797, 0.010517327, -0.0065532164, -0.0014709997, -0.052337967, -0.0048710294, 0.00037072116, -0.020961516, -0.017918952, -0.007200493, -0.0034393417, -0.013362418, 0.024472168, -0.03162512, -0.018270018, 0.0045528766, 0.009303227, -0.031069268, 0.018138368, 0.0031449588, 0.013406301, 0.027222179, -0.003567334, 0.006381341, 0.008074499, -0.017275332, 0.040109195, -0.008630352, 0.009354424, 0.0033314622, -0.03297087, -0.016105115, -0.017582513, 0.0046113874, -0.014605774, -0.028889738, -0.0070030186, 0.010605094, -0.0056207, 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0.0027646383, 0.017406981, 0.005968108, 0.0051160436, 0.02049343, 0.008462134, -0.019176936, -0.0017928093, 0.0025013394, -0.0024263724, -0.009646978, 0.010539269, -0.0040884465, -0.0033643746, -0.0020972488, -0.011336479, -0.00841825, -0.02599345, -0.0035106516, 0.009617723, -0.015256708, 0.013281966, 0.019059913, -0.0071163834, 0.01101467, -0.0276025, 0.0038580599, 0.008681549, -0.010429561, 0.010978101, 0.002574478]" +"LASCO 35-5019 Hallmack Style 24-Inch Towel Bar Accessory, All Metal Construction, Chrome Plated Finish",https://m.media-amazon.com/images/I/31rrpY5EJOL._SS522_.jpg,,Metal,Chrome,https://www.amazon.com/dp/B00N2OZU42,"['towel bar', 'metal', 'chrome', '24-inch']","This is a 24-inch towel bar accessory designed in the Hallmack style. It features an all-metal construction with a chrome-plated finish, giving it a sleek and shiny appearance. The bar is supported by two end brackets that are also chrome-plated, and it is designed to be mounted on a wall to hold towels. Its polished surface reflects light and is likely to complement a modern or contemporary bathroom decor.","Sleek 24-inch chrome-plated Hallmack style towel bar with polished finish, designed for modern bathroom decors.","[-0.029936299, -0.023959955, -0.026006648, -0.014053959, 0.016646437, -0.0027476856, -0.024887789, 0.020275908, -0.03203757, 0.013419485, -0.00014230913, 0.011659329, -0.015050017, -0.020234972, -0.022963898, 0.006610819, -0.010520003, 0.019129759, 0.009025916, -0.0051713116, 0.014667967, -0.022022419, 0.0067199757, 0.0002829127, -0.010547292, -0.019689187, 0.019334428, 0.0023366413, -0.009455723, -0.02273194, -0.012655386, 0.015513934, -0.008650689, 0.0009210119, -0.004748328, -0.0032013692, -0.0031860191, 0.02108094, 0.038341384, 0.019334428, -0.007982103, -0.045545746, -0.037577286, 0.03528499, -0.013160237, -0.034384444, -0.025856556, 0.04107031, 0.02559731, -0.052995708, -0.0122938035, -0.017519694, -0.03708608, 0.006433439, 0.020357775, -0.0027613302, 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-0.011447838, 0.0100083295, 0.010867941, -0.012894167, 0.0032081916, 0.0022377179, -0.019702833, 0.0034026273, 0.012191469, -0.014558811, 0.003516901, -0.00369087, 0.004151376, -0.019893857, -0.008527888, 0.009278342, 0.0010276105, 0.0042298324, -0.015841406, -0.0041206754, 0.002810792, -0.00882807, 0.012689497, 0.0044959025, -0.0074772523, -0.0070679137, -0.009435255, -0.02648421, 0.00011885744, -0.029199488, 0.0048233736, 0.0014437715]" +"Table-Mate II PRO TV Tray Table - Folding Table with Cup Holder and Tablet Slot- Couch Desk for Working from Home, TV Trays for Eating, Portable and Adjustable TV Table, Slate Gray",https://m.media-amazon.com/images/I/31cbTc2VhaL._SS522_.jpg,Cupholder+Tablet Slot+Side Storage,,Slate Gray,https://www.amazon.com/dp/B093KMM9D3,"['tv tray table', 'folding table', 'cup holder', 'tablet slot', 'couch desk', 'portable', 'adjustable', 'slate gray', 'metal']","This is the Table-Mate II PRO TV Tray Table, a versatile and functional piece designed for convenience and adaptability. The table features a slate gray color, giving it a modern and neutral look that can easily blend with various interior decors. It is constructed with a folding design, allowing for easy storage and portability. + +The tabletop includes a textured surface to prevent items from slipping and has a built-in cup holder on one side, ensuring that drinks can be securely placed without the risk of spills. Additionally, there is a tablet slot, which provides a convenient space for electronic devices, making it ideal for working from home or enjoying media. + +The table's height and angle are adjustable, offering flexibility to accommodate different seating arrangements and personal preferences. The L-shaped legs are designed to slide under couches or chairs, making it perfect for use while sitting on a sofa or bed. + +Constructed from durable materials, this TV tray table is suitable for various activities, such as eating meals, working on a laptop, or holding snacks during movie nights. Its compact and lightweight design makes it an excellent choice for small living spaces or for those who need an easily movable work surface.","Table-Mate II PRO TV Tray Table with built-in cup holder and tablet slot, adjustable height and angle, in slate gray, ideal for versatile use in small living spaces.","[-0.012219116, -0.018701833, -0.029516118, 0.018599398, 0.0069400193, 0.021950508, -0.019740824, 0.003962067, 0.006394915, 0.05089591, 0.021189557, -0.013470296, -0.011194759, -0.015599495, -0.010975254, -0.037930477, -0.01717993, 0.0037864628, 0.0059632217, -0.009109461, 0.014772692, -0.048466723, -0.018628664, 0.009277748, -0.01717993, -0.018189654, -0.009014342, -0.0123581365, 0.008955807, -0.011180126, -0.023969956, -0.00079433405, -0.03064291, -0.008085104, -0.012497156, 0.026091838, -0.04618387, 0.017472604, 0.016492149, 0.0027383259, -0.013770286, 0.029808791, -0.012943483, 0.021774905, 0.028272254, -0.0011862421, -0.009241164, -0.052827556, -0.030496573, -0.01283373, 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The unit features a sturdy construction with a clean white finish that easily blends with various decor styles. It includes a hanging area with a rod for costumes or clothing, complete with several white hangers. Below the hanging space, there are two open shelves for additional storage, perfect for shoes, hats, or toys. To the right of the hanging area, there are two grey fabric storage bins that slide into cubbies, offering concealed storage for accessories or small items. The top of the unit has a row of decorative crown-like cutouts, adding a playful touch to the design. The base of the unit is slightly recessed, creating a convenient lower storage area that can be used for larger items or as a seating bench. This dress-up storage unit is a functional and charming addition to a child's space, encouraging organization and imaginative play.","White children's dress-up storage unit with hanging area, shelves, and grey fabric bins, perfect for organizing costumes and accessories in playrooms or bedrooms.","[-0.05583047, 0.013395706, -0.017939562, -0.007471349, 0.010322533, 0.0047346293, -0.03646185, -0.0155947935, 0.047367103, 0.021574648, -0.01964611, -0.025001617, -0.013270836, 0.012590992, -0.022212869, 0.022268366, 0.0018071369, -0.040901646, -0.013576073, -0.036073368, 0.015539296, -0.011619787, -0.02053407, -0.0048837787, 0.039625205, -0.0074505378, -0.007270171, -0.003850138, -0.02770712, 0.060547758, -0.0005653807, 0.014970447, -0.0072979196, 0.0015981542, -0.057495397, -0.0010674595, -0.026139317, 0.050918944, 0.02618094, 0.020159462, -0.013707879, 0.022434859, -0.041623116, 0.051557165, 0.02672204, 0.0063371193, 0.0070308377, 0.017398462, 0.0053797876, -0.02704115, 0.0029118839, 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titled ""Enchanted Garden Flowers."" The dimensions of the doormat are 24 inches in height by 36 inches in width. It is suitable for both indoor and outdoor use, making it versatile for placement at a front door or entryway. The doormat is designed to be non-slip and washable, with a low pile that ensures easy door movement and maintenance. The design showcases a variety of stylized flowers in rich hues of purple, red, yellow, and green, set against a dark background that makes the colors pop. This doormat would add a cheerful and welcoming touch to any home entrance.","Colorful ""Enchanted Garden Flowers"" doormat","[-0.025829364, 0.012450429, -0.016389547, -0.0032339462, -0.008201808, -0.010009582, 0.019583046, -0.022649933, -0.043470986, -0.0010129162, -0.019203203, 0.002924444, -0.0031847071, -0.031372268, -0.0010173125, -0.0018640473, -0.0081244325, -0.02364878, 0.012654419, -0.02682821, -0.017782306, 0.040150873, -0.017937059, -0.005212298, -0.0037456797, 0.001827118, -0.0019607667, -0.013815052, -0.015812747, 0.038575225, 0.014602875, -0.017163303, 0.018724881, 0.02349403, -0.053909652, -0.031709906, -0.002083864, 0.044793405, 0.019203203, 0.04048851, -0.01938609, -0.0068793893, 0.030725125, 0.010051787, -0.016502094, 0.012035415, 0.0077867936, 0.03576157, 0.007016555, 0.020708509, -0.015095266, -0.022016859, -0.01816215, -0.024239648, 0.023634711, 0.03280723, -0.025843432, 0.08553515, 0.010051787, 0.038969137, -0.031287856, -0.027151782, 0.00531781, -0.0037808504, 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-0.0067281555, -0.0042415867, -0.009594567, -0.027236192, 0.025168154, -0.0009839004, 0.007674247, 0.0009882967, 0.0045862594, -0.015235948, -0.0096297385, 0.0016073011, -0.02349403, -0.0026870416, -0.011852527, -0.008110364, 0.016994484, -0.0015448731, -0.0043506157, 0.009693045, 0.008694198, -0.008440969, -0.00656637, 0.011669639]" +"Leick Home 70007-WTGD Mixed Metal and Wood Stepped Tier Bookshelf, White Herringbone/Satin Gold",https://m.media-amazon.com/images/I/31XhtLE1F1L._SS522_.jpg,Bookshelf,,,https://www.amazon.com/dp/B098KNRNLQ,"['bookshelf', 'metal', 'wood', 'white', 'gold', 'stepped tier', 'herringbone pattern']","This is a Leick Home Mixed Metal and Wood Stepped Tier Bookshelf featuring a white herringbone pattern on the shelves, complemented by a satin gold finish on the metal frame. The bookshelf has a modern, open design with a stepped configuration, providing three tiers of shelving for books, decorative items, or other belongings. The white shelves contrast elegantly with the warm metallic tone of the frame, creating a piece that is both functional and stylish, suitable for a variety of interior decor styles.","Modern Leick Home bookshelf with white herringbone shelves and a satin gold metal frame, featuring a stepped tier design for stylish storage.","[-0.0322067, -0.015162629, -0.024858713, -0.010688654, -0.031051168, -0.019362537, -0.006929477, -0.010325699, -0.0010601619, 0.050902583, 0.032858536, -0.0017536652, -0.03164375, 0.003529552, 0.0005444325, -0.0044147177, -0.022266177, -0.028814182, 0.008473888, -0.03454739, 0.031169685, -0.033747405, -0.001882366, -0.038458414, -0.0040517626, -0.041125022, -0.0031999296, -0.012644166, -0.023851328, 0.024636496, 0.017377395, 0.0123997275, -0.01524411, 0.0042443513, -0.07128732, 0.027540134, 0.0005911907, 0.04269536, 0.025303148, 0.01521448, 0.00811834, 0.009133132, -0.027880868, 0.032295585, 0.037302885, -0.010851613, -0.01067384, 0.022651354, 0.01623668, 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The doormat measures 18 inches in height and 27 inches in width. It is designed for both indoor and outdoor use, making it versatile for placement at the front door or any entryway. The mat has a non-slip feature to ensure safety and stability, and it is washable, which allows for easy maintenance. The pile of the mat is low, which helps in preventing tripping and allows for doors to pass over it easily. The background of the mat is adorned with a floral pattern in a variety of colors, set against a light blue backdrop, which adds a charming and vibrant touch to the item. The black border frames the design neatly, enhancing its visual appeal.","Decorative doormat featuring a Bichon Frise with a colorful floral background, designed for indoor and outdoor use with a non-slip, washable feature.","[-0.04250729, -0.01726132, -0.014380126, 0.017907327, -0.003092761, -0.034290075, 0.027339038, -0.035194486, -0.031421803, 0.024496604, -0.0330239, -0.010775405, 0.006989801, -0.045298044, -0.012177241, -0.010833546, -0.01825617, -0.026512148, -0.007009181, -0.02494881, -0.01291369, 0.0242382, -0.024108998, -0.01723548, -0.0077327094, 0.020956483, -0.008811542, -0.023760155, -0.002493589, 0.023114149, 0.015995145, 0.0058625177, -0.029845545, -0.0017862107, -0.047933754, -0.035556253, 0.019496506, 0.010885226, 0.013501557, 0.01993579, -0.011951138, 0.0042668795, 0.029974747, 0.0014212164, -0.020491358, 0.0074613863, -0.00520682, 0.025685258, 0.016343988, 0.011892998, -0.016757434, -0.010904606, -0.009664272, 0.0043476303, 0.017468043, 0.026163302, -0.021214886, 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0.0047255447, -0.014909852, -0.016550712, -0.0031347512, -0.008985964, -0.021899654, 0.023941038, 0.0009972741, 0.0071319225, -0.0039955564, 0.014470568, -0.02677055, -0.015219936, -0.00518421, -0.022558581, -0.0016602392, 0.0066021965, -0.014354286, 0.007164223, -0.00021217308, -0.008882603, -0.0012298367, 0.008255975, 0.0046254136, -0.0035530413, 0.017157959]" +"Wildkin Kids Canvas Sling Bookshelf with Storage for Boys and Girls, Wooden Design Features Four Shelves and Two Drawers, Helps Keep Bedrooms, Playrooms, and Classrooms Organized (Natural with Blue)",https://m.media-amazon.com/images/I/51-GsdoM+IS._SS522_.jpg,Natural with Blue Canvas,"Engineered Wood, Polyester",,https://www.amazon.com/dp/B07GBVFZ1Y,"['bookshelf', 'kids', 'canvas', 'wood', 'storage', 'four shelves', 'two drawers', 'natural', 'blue']","This is a Wildkin Kids Canvas Sling Bookshelf with Storage, designed for children's bedrooms, playrooms, or classrooms. The bookshelf features a natural wood finish, giving it a warm and inviting look that blends well with various decor styles. It includes four canvas sling shelves in a deep blue color, which are ideal for displaying books in a way that makes the covers easily visible and accessible to children. + +Below the sling shelves, there are two additional wooden shelves that provide extra space for storing toys, games, or additional books. The unit also comes with two matching blue canvas drawers that fit neatly into the lower section, offering concealed storage for smaller items and helping to keep the area tidy. + +The overall design is kid-friendly, with a sturdy wooden frame that ensures durability and stability. The combination of open shelving and drawers makes it versatile for organizing a variety of items, encouraging children to keep their spaces organized.","Wildkin Kids Canvas Sling Bookshelf with Storage in natural wood and deep blue, featuring four sling shelves and two lower wooden shelves with matching canvas drawers for versatile organization in children's spaces.","[-0.038215715, 0.0143870935, -0.023533575, -0.0046224156, 0.017197073, -0.010165099, -0.0025781558, -0.018433463, 0.004889364, 0.025050964, 0.03363545, -0.02416582, -0.0035475986, 0.007228671, -0.012939954, 0.043891873, -0.017197073, -0.00607658, -0.030741172, 0.003194595, 0.009188632, -0.011801912, -0.008289439, -0.02429227, 0.015763983, -8.7263026e-05, -7.79879e-05, -0.0128767295, -0.035377637, 0.04723575, -0.009771703, 0.0021830024, 0.007551819, 0.0031717638, -0.050635822, -0.00602038, -0.030151077, 0.031134568, -0.006554276, 0.042824082, -0.005194949, 0.0042571183, -0.0033315816, 0.016817724, 0.017393772, 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-0.004913951, 0.010649821, 0.0059255436, -0.0035247675, 0.0016412034, 0.0057042576, -0.029139483, -0.002409557, -0.014021796, -0.014864789, -0.007657193, 0.011331241, -0.008191089, -0.0011942411, -0.016831774, -0.007657193, 0.0052195364, 0.010600646, 0.0019722541, 0.007706368, 0.035714835, 0.0202178, -0.0074464446, 0.0128697045, 0.012897804, -0.0076009934, -0.0038145466, -0.006758, -0.004439767, -0.009589054, -0.0030137026, -0.017843368, -0.00079513626, -0.010326673, -0.0054373094, -0.018405363, -0.019023558, -0.00800844, 0.018236764, 0.0137407975, 0.014443292, -0.006824737, 0.01144364, 0.008085715, -0.015216037, -0.0014699703, -0.01145769]" +Gbuzozie 38L Round Laundry Hamper Cute Mermaid Girl Storage Basket Waterproof Coating Organizer Bin For Nursery Clothes Toys,https://m.media-amazon.com/images/I/41hYmELREGL._SS522_.jpg,Fashion,fabric,Mermaid Girl,https://www.amazon.com/dp/B09QZ3LYWB,"['laundry hamper', 'round', 'waterproof', 'storage basket', 'nursery', 'toys organizer', 'cute', 'mermaid', 'pink', 'blue', 'fabric']","This is a 38-liter round laundry hamper featuring a cute mermaid girl design, ideal for adding a playful touch to a nursery or child's room. The hamper is made with a waterproof coating, making it suitable for storing not just clothes but also toys and other items. The design showcases a whimsical mermaid with vibrant pink hair and a green tail, set against a soft blue background adorned with sea creatures and coral motifs. The hamper appears to be equipped with two durable handles for easy transport. Its collapsible design allows for convenient storage when not in use. This organizer bin combines functionality with a charming aesthetic, making it a delightful addition to any space that requires tidying up.","A 38-liter round laundry hamper with a waterproof coating, featuring a whimsical mermaid design, perfect for nurseries or children's rooms.","[-0.05528128, -0.016839357, -0.008370645, -0.032613996, 0.0035934234, -0.023465825, -0.022681296, -0.011599823, -0.038245793, 0.009946709, 0.022429127, -0.029784087, -0.017581858, -0.010030765, -0.022541203, 0.0062342044, -0.008846967, -0.018632567, -0.0120831495, -0.041748155, -0.009232227, -0.00089397794, 0.0071553257, 0.01178895, 0.026295735, 0.0069206674, 0.009673524, -0.009554444, -0.040179096, 0.024250355, -0.009071118, 0.0045040376, 0.034799468, 0.0007486299, -0.054917037, -0.0029577448, -0.012965744, 0.0050469036, 0.0053340974, -0.004661644, -0.010871332, -0.0022765354, -0.00938633, 0.037909567, 0.016040819, 0.024404459, -0.0064373417, 0.037040982, -0.0021994833, -0.006055584, -0.008426683, 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-0.0043604407, 0.0059470106, 0.013603174, -0.011620837, 0.0055582486, 0.0063497825, 0.0039261477, 0.004630123, -0.0051624817, 0.0042168438, 0.016825348, 0.014401712, -0.018870726, -0.0007617638, -0.005897978, 0.01804417, -0.0009684031, 0.002544466, 0.0077962577, 0.018912755, -0.015004119, -0.007523074, -0.0114177, -0.0015506708, -0.0098696565, -0.008286589, 0.023465825, -0.0056317984, -0.004843767, -0.015228271, -0.004885795, 0.015424402, -0.0037370203, 0.007382979, -0.016587187]" +"Tiita Comfy Saucer Chair, Soft Faux Fur Oversized Folding Accent Chair, Lounge Lazy Chair for Kids Teens Adults, Metal Frame Moon Chair for Bedroom, Living Room, Dorm Rooms",https://m.media-amazon.com/images/I/41O7mY3lUvL._SS522_.jpg,Modern,pp cotton,Grey,https://www.amazon.com/dp/B09T5T67VC,"['saucer chair', 'faux fur', 'oversized', 'folding', 'metal frame', 'moon chair', 'grey']","This is a Tiita Comfy Saucer Chair featuring a plush, oversized seat cushion upholstered in soft faux fur. The chair is designed to provide a cozy and comfortable seating experience, suitable for kids, teens, and adults. It has a distinctive moon chair silhouette with a generously padded, tufted cushion that creates an inviting look and feel. + +The chair's frame is made of durable metal, finished in black, which folds easily for convenient storage and transport. The color of the faux fur appears to be a neutral grey, making it versatile for various room decors. This chair is ideal for adding a touch of comfort and style to bedrooms, living rooms, dorm rooms, or any space where a casual and relaxing seat is desired.","Plush grey faux fur saucer chair with a foldable metal frame, offering cozy seating for bedrooms or dorms.","[-0.018682282, -0.022295034, -0.027215121, -0.0052434094, 0.034806117, 0.011084258, -0.052012373, -0.016222237, -0.02954865, 0.043437358, -0.022787042, 0.015420965, -0.009910465, -0.032978654, -0.012616514, -0.016292524, -0.014872727, -0.017037567, 0.0007489957, -0.0035336784, 0.04489933, -0.019047774, 0.005092292, -0.014760268, 0.0047795153, 0.00027697466, 0.026723113, -0.025528233, -0.0055772727, 0.024769135, 0.017627977, 0.0015647641, -0.019005602, 0.020116135, -0.019300807, -0.00017055577, -0.0181481, -0.02139536, 0.069668464, 0.021704622, 0.027974222, 0.026835572, 0.0051204073, 0.0110420855, 0.002031294, -0.012511084, 0.0051309504, 0.027917992, -0.006751065, -0.0027499783, -0.044140227, -0.00988235, -0.021578105, 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0.031094963, 0.010170527, 0.008575013, 0.0018467907, 0.031207424, 0.017220313, 0.02160622, 0.019581955, 0.013101495, 0.008476611, 0.00012585764, -0.00018208723, 0.0043507647, 0.027369753, 0.011428664, 0.004013387, 0.019132119, -0.013600532, -0.004596769, 0.003189272, 0.001307338, 0.0043894225, -0.005180151, 0.012946864, 0.0019487068, 0.0008698015, 0.021029867, -0.0116324965, 0.008258721, 0.00418559, 0.009059993, 0.0018959915, 0.009446572]" +"Summer Desk Decor,Welcome Summer Wood Block Sign Desk Decor,Rustic Summer Fruits and Popsicles Wooden Box Plaque Sign Desk Decor for Home Office Shelf Table Decorations",https://m.media-amazon.com/images/I/51sai4l5ttL._SS522_.jpg,,,,https://www.amazon.com/dp/B0C99NS6CZ,"['desk decor', 'wood', 'block sign', 'rustic', 'summer', 'fruits', 'popsicles', 'wooden box', 'plaque', 'table decorations']","This is a ""Welcome Summer"" themed wooden block sign designed as a decorative desk accessory. The sign features a vibrant and colorful watercolor-style illustration with motifs of summer fruits like watermelon slices, lemons, and limes, as well as popsicles, which evoke a refreshing and joyful summer vibe. The phrase ""Welcome Summer"" is prominently displayed in the center in a playful, multicolored font that complements the illustrations surrounding it. + +The wooden box plaque has a rustic yet cheerful look, making it suitable for adding a touch of seasonal charm to a home office, shelf, or table. The edges are clean and the sign appears to be self-standing, which allows for easy placement without the need for additional support. The overall design suggests a casual and fun atmosphere, perfect for summer-themed decor.","Colorful ""Welcome Summer"" wooden block sign with summer fruits and popsicles design, ideal for seasonal desk or shelf decor.","[-0.035224035, 0.01940356, -0.02308778, 0.009759572, -0.0055407784, -0.010323041, 0.0095645245, -0.010062979, -0.012468558, -0.034183785, -0.016499529, 0.00632819, 0.0053240596, -0.0073431567, -0.041436642, 0.014866913, -0.004319929, -0.0049989815, 0.0008709389, -0.009521181, 0.047533665, -0.0058658565, -0.0064473855, -0.024807084, 0.0078018783, -0.0049303537, 0.009593421, 0.0021328747, -0.005822513, 0.060045566, 0.012685277, 0.015329246, 0.010171338, 0.030080575, -0.029444866, -0.015950507, -0.007657399, 0.067153946, 0.007462352, 0.031034138, -0.010185786, -0.0050314893, 0.006750792, -0.010691463, -0.020501602, 0.010662567, -0.02323226, -0.016297257, 0.025558375, -0.028419064, 0.0072456333, 0.023680145, 0.034819495, -0.0064726695, 0.051174544, 0.001493554, 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-0.0009941977, -0.00036390705, 0.019027915, 0.006339026, 0.022509864, 0.020400466, -0.0012705142, 0.0040129106, -0.022061978, -0.0077440864, 0.0037961917, 0.028780263, -2.5424957e-05, 0.010864838, 0.0077007427, -0.010229129, 0.0045547076, -0.010229129, -0.027234334, 0.013248745, -0.019649176, -0.0020967547, 0.021787468, 0.013544927, 0.0007797363, 0.0036444885, 0.027841147, -0.004099598, -0.02622298, -0.0059706043, 0.012389094]" +"Homebeez 39.1"" Length Bedroom Storage Bench, End Bed Ottoman Bench with Golden Metal Legs, Dressing Chair for Entryway Living Room,Green",https://m.media-amazon.com/images/I/31eBuhJ0NDL._SS522_.jpg,Trumpet Leg,,Green,https://www.amazon.com/dp/B0BWQ8M4Q3,"['storage bench', 'ottoman', 'green', 'metal legs', 'golden legs', 'velvet', 'bedroom furniture', 'entryway furniture', 'living room furniture']","This is a Homebeez bedroom storage bench featuring a luxurious green velvet upholstery that adds a vibrant touch to any room. The bench measures 39.1 inches in length, providing ample space for seating or storage. It is designed with a hinged top that likely opens to reveal a storage compartment, ideal for keeping linens, accessories, or other household items neatly tucked away. + +The bench is supported by sleek golden metal legs that give it a modern and elegant look, while also ensuring stability and durability. The combination of the rich green color and the golden accents creates a sophisticated aesthetic that can complement both contemporary and classic interior designs. + +This versatile piece of furniture can serve as an end-of-bed ottoman, providing a comfortable place to sit while dressing or putting on shoes. It can also be placed in an entryway, living room, or any other space where additional seating and storage are desired. The bench's chic design and functional features make it a stylish and practical addition to any home.","Luxurious green velvet storage bench with golden metal legs, featuring a hinged top for ample storage space, perfect for adding a vibrant and sophisticated touch to any room.","[-0.049297143, 0.022465412, -0.016648348, -0.025986636, 0.021141432, -0.022254137, -0.015690576, -0.011908781, -0.02326825, -0.0128735965, 0.04000111, -0.004271245, -0.0082960045, -0.016437076, 0.016225802, -0.0061093243, -0.014127152, -0.004912108, 0.009563645, -0.016155377, 0.009929853, -0.011972163, 0.0014674703, -0.04538154, -0.019662516, -0.0092326505, 0.027888097, 0.009281947, 0.006986109, 0.04839571, 0.014190534, 0.005081127, -4.88845e-05, 0.018465301, -0.015803255, 0.023366844, -0.0049649263, 0.01923997, 0.032254416, -0.0040388443, 0.0015114855, -0.018056838, -0.018817423, 0.0276064, 0.0040106745, 0.01987379, 0.044902653, 0.0068170903, -0.01728217, -0.0066551142, -0.009098844, -0.016676519, 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-0.009253778, 0.010197466, 0.020155488, 0.020394932, -0.01777514, 0.027338786, -0.0013415865, 0.012852469, 0.0019384341, 0.008577703, 0.0014604278, 0.0090143345, 0.018620234, 0.009239693, 0.033662904, 0.031381153, -0.009359415, 0.011408767, 0.0005145389, -0.015493387, -0.008288962, -0.015084925, -0.02901489, -0.006479053, 0.023071062, -0.01564832, -0.003982505, -0.014915907, -0.0037536253, 0.011098899, -0.004091663, -0.013500375, 0.006447362, 0.0009912247, 0.013901794, -0.029831814, -0.009112929, 0.0048064715, -0.0126130255, -0.007204425, -0.016986387]" +"Flash Furniture Webb Commercial Grade 24"" Round Blue Metal Indoor-Outdoor Table",https://m.media-amazon.com/images/I/41IWb+KWq7L._SS522_.jpg,Contemporary,Metal,Blue,https://www.amazon.com/dp/B01M3VT58B,"['table', 'metal', 'indoor-outdoor', 'blue', 'round']","This is a commercial-grade 24"" round table designed for both indoor and outdoor use. The table features a vibrant blue finish that adds a pop of color to any setting. The tabletop is smooth and circular, providing ample space for dining or display. Its metal construction ensures durability and stability, while the sleek, tapered legs give it a modern and stylish look. The table also includes protective rubber feet to prevent damage to flooring and to enhance stability. This piece is ideal for cafes, bistros, or home patios looking for a contemporary and functional table.","Commercial-grade 24"" round table with a vibrant blue finish, suitable for indoor and outdoor use, featuring a durable metal construction, sleek tapered legs, and protective rubber feet.","[-0.026006535, -0.057594825, -0.012420099, 0.021188453, 0.014787485, -0.00019905396, 0.0020688595, 0.011364842, 0.0016193338, -0.014273741, 0.032074265, -0.0026676485, -0.0015160644, -0.054234665, -0.014551441, -0.0038600196, -0.020119311, 0.0047660135, -0.014843025, 0.013530896, 0.014232087, -0.008962743, -0.00071984855, 0.032490812, -0.01404464, -0.02979713, 0.011698081, -0.024743004, -0.004394591, -0.008317092, 0.011899413, 0.016356487, 0.029186191, -0.020910753, -0.009802784, 0.0039016744, -0.030546919, -0.011455094, 0.0042036725, 0.019952692, -0.008629505, 0.003912088, 0.0030113012, 0.038461346, -0.017134044, 0.013225427, -0.0032351962, -0.045514908, -0.025270632, 0.0056928345, -0.01687023, 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-0.00020740663, 0.016189866, -0.025256747, -0.0060364874, -0.006591886, 0.005845569, 0.011059373, 0.0038982034, 0.024687463, -0.0056858924, 0.010399837, 0.026561933, -0.00063697266, 0.01015685, 0.0024611095, 0.00696678, 0.0033601609, -0.012288192, -0.008948859, -0.0012930372, 0.035545506, -0.019758303, -0.008358748, 0.028714104, 0.0017746718, 0.0155928135, -0.0016983045, -0.0063384855, 0.012725568, 0.0026676485, 0.006633541, 0.019216789, 0.020966293, -0.0067446204, -0.02266026, 0.00090425817, 0.02095241, 0.006147567, 0.0034712406, 0.0001600025]" +"Mellow 2 Inch Ventilated Memory Foam Mattress Topper, Soothing Lavender Infusion, CertiPUR-US Certified, Queen",https://m.media-amazon.com/images/I/418jBmKzSxL._SS522_.jpg,,,,https://www.amazon.com/dp/B077ZDFXYK,"['mattress topper', 'memory foam', 'ventilated', 'lavender infusion', 'certipur-us certified', 'queen size', 'purple']","This is a queen-sized Mellow 2 Inch Ventilated Memory Foam Mattress Topper featuring a soothing lavender infusion. The topper is designed to provide additional comfort and support to your existing mattress. It is made from memory foam, which is known for its pressure-relieving properties and ability to conform to the body's shape. The lavender infusion is intended to offer a calming and relaxing scent, potentially enhancing sleep quality. + +The topper is ventilated, which means it has small holes or channels throughout to promote airflow and help regulate sleeping temperature. This can also contribute to the overall comfort by preventing overheating during the night. + +The product is CertiPUR-US certified, ensuring that it is made without harmful chemicals and meets strict standards for content, emissions, and durability. The certification also indicates that the foam has been tested for low VOC (volatile organic compound) emissions for indoor air quality. + +The topper appears to have a purple hue, which is likely indicative of the lavender infusion, and it sits atop a mattress that is part of a neatly arranged bed with pillows against a white brick wall backdrop. The room has a modern and minimalistic aesthetic, with natural light coming in from a window on the left.","Queen-sized lavender-infused memory foam mattress topper designed for enhanced comfort and relaxation, featuring ventilation for improved airflow and temperature regulation, and CertiPUR-US certified for safety and quality.","[-0.044298247, 0.016695995, -0.012569123, 0.0031170347, 0.035034664, -0.0034772104, -0.005644997, 0.011673733, -0.028302405, 0.046210207, -4.0393537e-05, -0.046802647, -0.041874636, -0.014568603, 0.01808284, -0.023926439, -0.055904657, 0.014810964, -0.011956488, -0.014326242, 0.02007559, 0.007405482, 0.010758146, 0.010589839, 0.053238682, 0.0241688, 0.0069476888, -0.0037229378, 0.031318456, 0.054046553, 0.016211273, 0.0142858485, 0.0077959527, 0.034603797, -0.030349012, -0.012488335, 0.044163603, 0.026498161, 0.055473793, 0.008610556, 0.022122195, -0.02873327, 0.018594492, 0.009566536, 0.017221112, -0.0031338653, 0.008805791, 0.005644997, -0.03454994, 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0.008455714, -0.036892764, 0.0014491181, 0.0076815044, 0.0005714003, -0.028113903, 0.040797472, 0.0059984406, 0.00931071, 0.0077824886, -0.00966752, 0.0034839427, -0.011081294, 0.0016468782, -0.009236656, -0.012367155, -0.0097887, -0.0007220345, 0.0137607325, 0.01008492, 0.0038373861, -0.010105117, -0.007843079, 0.006479797, -0.0031725757, -0.013881912, 0.016359383, -0.00525116, 0.008327801, -0.003776796, 0.012266171, 0.010468659, 0.017988589, -0.0012109646, -0.0013321452]" +"CangLong Mid Century Modern Side Chair with Wood Legs for Kitchen, Living Dining Room, Set of 1, Black",https://m.media-amazon.com/images/I/31wnzq-TwKL._SS522_.jpg,Modern,,Black,https://www.amazon.com/dp/B08RTLBD1T,"['chair', 'mid-century modern', 'wood', 'black']","This is a CangLong Mid Century Modern Side Chair featuring a sleek black seat with an ergonomic design for comfort. The chair is supported by four sturdy wooden legs that display the natural wood grain, adding a warm contrast to the black seat. The legs are splayed slightly outward, which is characteristic of mid-century modern design, providing both style and stability. This chair is suitable for a variety of settings, including kitchens, dining rooms, or living spaces, and can complement a range of interior decor styles. It is sold as a set of one, allowing for individual purchase or the option to buy multiple to create a cohesive seating arrangement.","Mid-century modern side chair with a sleek black seat and natural wood legs, perfect for dining or living spaces.","[-0.011416384, -0.019382915, -0.022708075, -0.007232224, -0.030342089, -0.015254173, -0.04283915, -0.0039694104, -0.009393578, 0.02432909, 0.018814865, -0.026157929, -0.018468495, -0.016057754, 0.0066087563, -0.017263124, -0.040040474, -0.017484803, 0.026365751, -0.0039070635, 0.0047729905, -0.03591173, -0.0054761237, 0.007336135, -0.01021794, -0.025451332, 0.015946915, 0.010349561, 0.007897256, 0.0086592715, -0.00987157, 0.0042291884, 0.0007351722, 0.025908541, -0.017235415, 0.025894687, -0.01810827, -0.01177661, 0.06572734, 0.058411986, 0.011922086, 0.00013118798, -0.026753686, 0.00023639812, 0.00023942887, 0.0071768044, 0.02639346, -0.023165284, 0.009809223, -0.032226346, 0.012226892, 0.011340182, -0.017360108, -0.029926443, 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The round tabletop is a mirror, adding a reflective and elegant touch to the piece. The dimensions of the table are approximately 18.24 inches in diameter and 24 inches in width, with a height of 18 inches, making it a versatile size for various uses such as a side table or decorative display stand. The combination of the mirrored surface and the geometric metal base makes this table a stylish addition to contemporary home decor.","Modern accent table with a mirrored round top and a sleek, triangular black metal base, perfect for contemporary decor.","[-0.021903612, -0.026046773, -0.027220435, -0.009693303, -0.012351714, 0.024703428, -0.022059157, 0.007840899, -0.021465257, -0.0045037447, 0.025000378, 0.0035881482, -0.0065435097, -0.02737598, -0.05393181, -0.024321634, -0.0104073975, -0.011955781, -0.016714053, 0.005610238, 0.007551019, -0.04691813, -0.020475423, 0.024943816, -0.016077733, -0.0020574406, 0.013157722, -0.014974774, -0.012026483, -0.00465929, 0.0001072136, -0.007551019, 0.026018493, 0.011163914, -0.020362299, 0.018820986, 0.0053203576, 0.008887295, 0.035407774, 0.029185962, 0.016204996, 0.0026089195, -0.028987994, 0.020517845, -0.00640564, 0.023558049, 0.0063596833, -0.016996864, -0.01981082, -0.030769696, -0.005482973, -0.024081247, -0.0030932312, 0.026301304, 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0.0035899158, 0.024661006, 0.012754718, 0.0070949886, -0.012075975, 0.026456848, 0.009834708, 0.0062854458, -0.006091014, -0.0058435556, -0.01427482, -0.0045320257, -0.021606661, -0.02823855, -0.016728194, 0.00050552236, -0.0032452415, -0.003817931, 0.019938085, -0.0047688787, 0.011694182, -0.02475999, -0.008357027, 0.023642892, -0.0030720204, 0.0116659, 0.035351213, 0.018014979, 0.008844874, 0.004638079, 0.01048517, 0.0025099362, 0.00071718777, 0.0031550957, -0.0065364395]" +MAEPA RV Shoe Storage for Bedside - 8 Extra Large Pockets - Dark Grey Rv Shoe Organizer with RV Shoe Pockets - Hanging Bedside Storage for RV Camper Bed Length35.4inches/2.95ft(Dark Grey),https://m.media-amazon.com/images/I/31bcwiowcBL._SS522_.jpg,,Oxford,Dark Gray,https://www.amazon.com/dp/B0C4PL1R3F,"['rv shoe storage', 'bedside organizer', 'hanging storage', 'dark grey', 'fabric', 'extra large pockets']","This is a dark grey RV shoe storage organizer designed to provide convenient hanging storage, ideal for use in an RV or camper. It features 8 extra-large pockets that offer ample space for organizing and storing shoes. The organizer is made to hang at the bedside, making it easy to access footwear. The total length of the unit is 35.4 inches, or approximately 2.95 feet, which allows it to accommodate various shoe sizes. The material appears to be a durable fabric, suitable for the interior of an RV, and the color is a versatile dark grey that should blend well with most interiors. The image also shows four metal hooks, which are likely used to hang the organizer securely in place.","Dark grey RV shoe storage organizer with 8 extra-large pockets for convenient bedside hanging, designed to fit various shoe sizes and blend seamlessly with most interiors.","[-0.070582725, -0.008634195, -0.01316896, -0.040428344, 0.021186426, -0.008090022, 0.0081698345, 0.0038636206, -0.001705072, 0.009657238, -0.012813435, -0.019111317, -0.006196304, -0.03143137, -0.0022220353, 0.035465498, -0.005256701, 0.0051188436, 0.0128932465, -0.021607252, 0.058770567, -0.011732346, 0.028384008, -0.005289351, 0.014337116, 0.00072964386, -0.0029711786, -0.004897547, -0.016891096, 0.046465024, 0.0005523345, 0.019764323, 0.005057171, 0.02413221, -0.021404095, 0.013662343, 0.02726664, 0.049280208, 0.054591324, -0.0006294255, 0.05360456, 0.025931606, -0.01182667, 0.033056628, 0.02182492, 0.009163855, 0.026932882, 0.025423711, -0.011253475, 0.019111317, -0.0028587165, -0.032882493, -0.029660996, 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-0.00015372856, 0.031953774, 0.00414659, 0.0077344966, -0.004629089, -0.0045637884, 0.0032450785, 0.00017266121, 0.0110430615, 0.00029952129, 0.012399863, 0.02469815, 0.01091246, 0.023159957, 0.016194556, 0.009236411, -0.010121598, 0.01761666, 0.0024306346, -0.004999126, -0.015831774, 0.00068112183, -0.022129657, 0.0068239155, 0.015614106, -0.016629893, -0.017210344, 0.0031852196, 0.024553036, -0.015802752, -0.0092219, -0.005031776, -0.017558614, 0.01224024, -0.015207791, 0.026004162, -0.028442051]" +"NearMoon Hand Towel Holder/Towel Ring - Bathroom Towel Bar, Premium Thicken Space Aluminum Towel Rack Wall Towel Hanger, Contemporary Style Bath Hardware Accessories Wall Mounted (Gold)",https://m.media-amazon.com/images/I/51eswTC1ufL._SS522_.jpg,,,,https://www.amazon.com/dp/B09PND1VQ5,"['towel holder', 'towel ring', 'bathroom', 'space aluminum', 'wall mounted', 'gold', 'contemporary']","This is a NearMoon Hand Towel Holder/Towel Ring, designed to be a functional and stylish accessory for a bathroom. The towel holder is made from premium thickened space aluminum, which provides durability and resistance to corrosion. The color of the towel rack is gold, giving it a contemporary and luxurious appearance. + +The design features a straight bar with a rectangular profile, which allows for easy hanging and access to a hand towel. The wall-mounted fixture has a clean and modern aesthetic, with concealed mounting hardware that contributes to its sleek appearance. The holder is part of a bath hardware collection, suggesting that it could be coordinated with other accessories in the same style and finish for a cohesive bathroom design.","Gold NearMoon hand towel holder with a sleek, modern design, made from durable space aluminum, perfect for adding a touch of luxury to any bathroom.","[-0.027731799, 0.0050314786, -0.021506293, -0.027787013, 0.00963504, -0.03511682, -0.012174936, -0.0030230284, -0.041300915, 0.0019515097, -0.016509322, 0.013679548, -0.017613625, -0.0405003, -0.0055215126, -0.015612078, -0.018013936, -0.0071296534, 0.013879702, -0.01474244, 0.0026106404, -0.027828425, 0.038899057, -0.010953301, 0.005010773, -0.029457271, 0.0139004085, -0.005966685, -0.015418825, -0.0054904544, 0.0036925117, 0.0017470411, -0.0025053865, -0.014059152, -0.03194195, 0.005966685, 0.028408183, 0.028463399, 0.04116288, 0.023480233, -0.001996372, -0.022872867, -0.04047269, 0.020471008, 0.024004778, -0.0155430585, 0.0052316333, 0.032549318, 0.019463332, 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0.04226718, 0.011891958, -0.0018186483, 0.0022068797, -0.030451143, 0.015280787, 0.00015766507, -0.0012656343, 0.012858223, 0.016454108, 0.002277624, 0.022610595, 0.00963504, -0.0024329165, 0.003985842, -0.012789204, 0.009179515, -0.012326777, 0.011505452, 0.013638137, -0.016564539, -0.010725538, -0.012789204, 0.026903572, -0.0035855323, 0.0054283375, 0.009317553, 0.009924919, 0.00052713195, -0.021699546, -0.017530803, -0.023010904, 0.0021999779, -0.021244021, 0.020829907, -0.00532826]" +"FLYJOE Narrow Side Table with PU Leather Magazine Holder Rustic Slim Little Thin Table for Living Room, Bedroom, Sofa, Set of 2, Black",https://m.media-amazon.com/images/I/41Hsse9SYsL._SS522_.jpg,Country Rustic,Engineered Wood,Black-set of 2,https://www.amazon.com/dp/B0CHYDTQKN,"['side table', 'narrow', 'magazine holder', 'pu leather', 'slim', 'set of 2', 'black']","This set includes two narrow side tables, each featuring a sleek black finish that complements a modern or contemporary decor style. The tables are designed with a slim profile, making them suitable for small spaces such as beside a sofa or bed. The tabletop provides a flat surface for placing drinks, books, or decorative items. + +Below the tabletop, each side table incorporates a PU leather magazine holder, offering a convenient storage solution for magazines, newspapers, or small books. The magazine holder's black leather material adds a touch of sophistication and contrasts nicely with the metal frame of the table. + +The tables are supported by a sturdy metal frame, ensuring stability and durability. The base is designed to slide under a couch or bed slightly, maximizing space efficiency. This set is ideal for those looking to add functional furniture with a minimal footprint to their living room or bedroom.","Set of 2 narrow side tables with black finish and built-in PU leather magazine holders, featuring a slim design ideal for small spaces and a sturdy metal frame for stability.","[-0.002420632, -0.025466574, -0.024682093, 0.00020542686, -0.0039224043, -0.0069985865, -0.012442739, 0.0066535603, -0.024231743, 0.0016697458, 0.036057066, 0.0005620297, -0.033645514, -0.045935716, -0.011847114, -0.06118951, -0.026846679, -0.00064193056, 0.04506407, -0.00051072973, 0.020875908, -0.034429993, -0.019161671, -0.020788744, -0.05645357, -0.01939411, -0.01895829, -0.018682268, -0.002774738, -0.005375147, -0.01788326, -0.0037626028, -0.007888392, 0.028851464, -0.02702101, 0.015529816, -4.664665e-05, 0.040851116, 0.034197558, 0.009704319, 0.016445044, 0.031117743, -0.043407943, 0.023955721, 0.008687399, -0.0011485745, 0.0009878648, -0.022706363, 0.008556653, -0.02960689, 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The design includes a simple and elegant tufted top with visible stitching that adds texture and interest. The ottoman stands on four sturdy wooden legs, which provide stability and raise the piece slightly off the ground. The color and material give it a rich, classic look that would complement a variety of living room or bedroom decors. Additionally, this ottoman serves a dual purpose by offering ample storage space inside, making it a functional piece for organizing and decluttering your space.","Luxurious dark brown faux leather storage ottoman with a tufted top and wooden legs, offering ample interior space for organization.","[-0.039714854, -0.019453939, -0.015635202, -0.018834295, 0.0004967059, -0.020505892, -0.002709141, 0.0076374724, -0.025635969, 0.002975732, 0.035651144, -0.037034534, -0.010721282, -0.03504591, 0.008213885, -0.0070574568, -0.040608294, -0.017796751, -0.019468348, -0.04706412, 0.038417928, -0.0059154383, 0.0042474433, -0.017710289, -0.012659471, -0.0052273455, -0.0012374866, -0.002597461, 0.02435345, 0.05539329, 0.009539635, 0.0044527906, -0.028690957, 0.021903694, 0.014871456, 0.00930907, 0.016312487, 0.020145634, 0.049052745, 0.0045572654, 0.012918856, -0.0134880645, -0.047957562, 0.007868038, 0.021211999, -0.0035251258, 0.026442947, 0.027739875, 0.021990156, -0.008891171, -0.01863255, 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-0.0002393465, -0.0048634848, 0.014676916, 0.004459996, -0.002572243, 0.010324998, 0.0017004183, 0.01063482, -0.0017049216, 0.03674633, 0.014871456, 0.0076518827, 0.009020863, 0.014078887, 0.017191518, 0.021456974, -0.000771853, 0.02443991, 0.0040817247, 0.0011942557, -0.0018733422, -0.024137294, 0.0059730797, 0.00042645555, 0.020217687, -0.011074334, -0.028229827, 0.0027199488, 0.0035683566, 0.0037358766, -0.0071114954, -0.0088767605, 0.010497922, 0.0016238635, 0.0076014465, -0.011794851, 0.021024665, 0.0138699375, -0.009467583, -0.010497922, -0.014669711]" +Moroccan Leather Pouf Ottoman for Living Room - Round Leather Ottoman Pouf Cover - Unstuffed Pouf Ottoman Leather Foot Stool - Moroccan Pouf Ottoman - Moroccan Ottoman Pouf Leather (Brown),https://m.media-amazon.com/images/I/51UKACPPL9L._SS522_.jpg,"Modern, Boho, Chic",Leather,Brown,https://www.amazon.com/dp/B0CP45784G,"['ottoman', 'moroccan', 'leather', 'unstuffed', 'foot stool', 'brown']","This is a round Moroccan leather pouf ottoman cover in a rich brown color. It features an intricate, embossed mandala-like pattern in the center, surrounded by stitched segments that create a pleasing geometric design. The stitching is done in a contrasting light color, which accentuates the pouf's shape and design details. This unstuffed pouf cover can be filled to serve as a comfortable footstool or additional seating in a living room or any other space. The leather material adds a touch of luxury and durability, making it both a functional and decorative item. Please note that as an unstuffed cover, it will need to be filled before use.","Round Moroccan leather pouf ottoman cover in brown with an embossed mandala pattern and contrasting stitching, designed for use as a footstool or extra seating once filled.","[-0.043674946, -0.022529557, -0.01607992, 0.014445422, 0.0069355695, -0.005960025, -0.055425655, -0.004244539, -0.057281032, -0.0045206365, 0.021896373, -0.048092507, -0.032130387, -0.018008921, 0.047562398, 0.0034180873, -0.0165364, -0.002740728, 0.0021369949, -0.06302386, 0.010940824, 0.015520361, 0.02596053, 0.01506388, 0.01976122, -0.0018314469, -0.017832218, -0.028876118, 0.05784059, 0.04532417, 0.009917423, 0.0038911344, -0.0014992096, 0.047798, -0.022161428, -0.0027609752, 0.0077896314, 0.026608437, 0.0110291755, 0.0115666455, 0.02197, -0.025931079, -0.023133291, 0.028242934, -0.0063207923, -0.012744661, 0.0019032322, 0.03457477, -0.013996303, -0.005334204, -0.01825925, -0.05150875, -0.018671554, 0.023162741, 0.0025548222, 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0.00047005602, 0.0071674916, 0.010219289, 0.0022897688, 0.010395992, 0.013215868, 0.011515107, -0.002030237, 0.010101488, -0.014055204, -0.00063318363, -0.009718632, -0.012420706, -0.01118379, 0.00404943, 0.021925824, 0.0029174304, 0.020674182, 0.0040899245, -0.0066521093, -0.0046421196, -0.010086763, -0.002310016, -0.01175071, 0.015152232, 0.016713103, -0.008489078, -0.005996838, -0.017095959, 0.0127962, 0.02233813, 0.0026486954, -0.006633703, 0.005429918]" +"AnyDesign Christmas Welcome Doormat Decorative Xmas Holiday Front Floor Mat Indoor Outdoor Carpet Non-Slip Door Mat for Indoor Outdoor Home Office Kitchen Yard Garden Decoration, 17 x 29 Inch",https://m.media-amazon.com/images/I/51RpGVRAFcL._SS522_.jpg,,,,https://www.amazon.com/dp/B0BC85H7Y7,"['doormat', 'christmas', 'holiday', 'decorative', 'non-slip', 'indoor', 'outdoor', 'fabric']","This is a rectangular Christmas-themed welcome doormat measuring 17 x 29 inches. The mat features a natural beige background, likely made of a durable, coarse fabric such as coir or a synthetic equivalent to withstand foot traffic. The word ""Welcome"" is prominently displayed in large, black, cursive lettering across the center. Above the text, there is a festive design of mistletoe with green leaves and a red and white Santa hat, along with a red ornament decorated with white snowflake patterns. The border of the mat has a striped pattern alternating between red and a lighter beige, resembling a candy cane motif, which adds to the holiday spirit of the design. The mat is described as non-slip, suggesting it has a grippy material on the underside to keep it in place on various surfaces, making it suitable for both indoor and outdoor use. It is intended to serve as a decorative and functional piece for home, office, kitchen, yard, or garden settings during the Christmas season.","Festive Christmas-themed welcome doormat with mistletoe, Santa hat, and ornament design, featuring a natural beige background and candy cane striped border.","[-0.023878096, 0.022273809, -0.029034734, 0.018492274, -0.001341979, -0.03798723, -0.024007011, -0.016773395, -0.018936317, -0.008229134, 0.00037443812, -0.030366864, -0.0020143115, -0.019022262, -0.04110986, -0.0012059011, -0.0216722, 0.002698282, 0.00058594084, -0.038101822, -0.005210352, 0.021872737, -0.009367892, 0.0050993413, 0.020354394, 0.011058122, 0.005987429, 0.0046660407, -0.010800291, 0.06978649, 0.028605014, 0.0051709614, -0.013980216, -0.016071519, -0.060791023, -0.027616657, 0.008257782, 0.052425813, 0.0074198283, 0.0088952, -0.0034610347, -0.006488769, 0.03071064, -0.0017752799, -0.027530713, 0.030653344, 0.0011888914, -0.0015819059, -0.012039316, 0.047039993, 0.021228157, 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-0.0025281848, -0.009496807, 0.0034162723, -0.0008939067, 0.012583627, 0.018993614, -0.00742699, -0.013278341, -0.01736068, 0.0089596575, -0.0067000478, -0.013614955, 0.017690131, 0.0009802983, 0.0049632634, 0.005994591, 0.012827136, -0.0009919365, -0.027745573, -0.017031226, -0.005754664, -0.00044001514, -0.008422508, -0.014374127, -0.0016544211, 0.0026284526, 0.0069507174, 0.010184359, -0.015369644, -0.0042757117, 0.00013473506, 0.01926577]" +GXFC ZHAO Welcome Funny Door Mat Shoes and Bras Off Please Personalized Doormat with Anti-Slip Rubber Back (23.6 X 15.7 inch) Prank Gift Home Decor Area Rugs for The Entrance Way Indoor Novelty Mats,https://m.media-amazon.com/images/I/51z8ko3rsiL._SS522_.jpg,Modern,Rubber,"Colorful,Funny,Novelty,Personalized",https://www.amazon.com/dp/B07X61R7N8,"['door mat', 'anti-slip', 'rubber back', 'novelty', 'brown']","This is a novelty doormat designed to be placed at the entrance of a home. The doormat measures 23.6 by 15.7 inches and features a humorous message that reads ""SHOES & BRAS OFF PLEASE"" in bold, black lettering against a brown background, which gives it a playful and inviting appearance. The design includes decorative corner accents that resemble arrow points, adding a touch of whimsy to the overall look. + +The mat is made with a durable material suitable for indoor use and is equipped with an anti-slip rubber backing to ensure safety and prevent it from sliding around. This doormat serves as both a functional item for keeping floors clean and a prank gift or home decor piece that can add a lighthearted touch to the entrance of someone's home.","Humorous indoor doormat with ""SHOES & BRAS OFF PLEASE"" message, featuring anti-slip backing and decorative corner accents.","[-0.05393424, -0.024425872, -0.016159344, -0.0012360553, 0.0058934516, -0.06589305, -0.0022647, -0.0050189635, -0.01840162, 0.013520931, -0.0033933127, -0.013603148, 0.0033522043, 0.014567327, -0.02203411, -0.006457758, -0.032019716, -0.0056580123, 0.0042379037, -0.025561959, 0.0007960084, 0.029508367, -0.022706794, -0.015561403, 0.0018227844, 0.019642347, -0.027923824, -0.015411918, 0.0072911377, 0.047117718, 0.005904663, -0.0033933127, -0.02164545, -0.021765037, -0.0392249, -0.0029523314, 0.021271735, 0.050466184, -0.0029186974, 0.00402115, 0.04134759, -0.013767581, -0.012833299, 0.0011594441, -0.04998783, 0.004043573, 0.011816801, 0.018790282, 0.015142845, 0.018267084, 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It features an open-top design for easy waste disposal. The cylindrical shape and sleek black finish give it a modern and minimalist appearance, making it suitable for various settings such as bathrooms, living rooms, offices, kitchens, bedrooms, and hotels. The trash can's smooth surface and simple lines would complement contemporary decor styles.","Modern 10-liter black metal trash can with an open-top design, suitable for various indoor settings with its sleek and minimalist appearance.","[-0.056167003, 0.012339073, -0.011562537, -0.010408421, -0.016471095, -0.0074590123, -0.0066931634, 0.020161418, 0.0066254837, -0.013849398, 0.04744701, -0.02144377, 0.012175217, -0.017753446, -0.008940841, -0.018109655, -0.021842724, 0.027969515, 0.02343854, -0.033597615, 0.025632786, -0.040294338, -0.027029123, 0.005585354, 0.013671294, -0.0046307147, 0.0090334555, -0.013236719, -0.025290824, 0.03422454, 0.04305852, 0.016314363, -0.009133194, -0.00018589647, -0.017425735, -0.0078009726, 0.023851741, 0.03847055, 0.013628549, 0.026074484, 0.0073379013, -0.03724519, -0.015188743, -0.012182341, 0.0025362067, -0.015245737, 0.021429522, -0.030747944, 0.016699068, -0.02395148, 0.051208578, -0.05420073, -0.008577508, -0.04468283, -0.0069104508, -0.022512397, 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-0.003996663, -0.0019787399, 0.015188743, 0.01448345, -0.017439984, -0.0017721388, -0.017767696, -0.010493911, 0.019534491, 0.017696453, 0.007152673, -0.008670122, -0.0017391895, 0.011697897, 0.009190187, 0.0036155193, 0.010899989, -0.0009893699, -0.0268154, 0.007658489, -0.005898818, 0.003839931, -0.021586254, -0.013899268, -0.030235004, 0.010273062, 0.0028906344, -0.017952925, 0.004897871]" +"Solid Wood Wine Cabinet, bar Rack - Home Wood Furniture",https://m.media-amazon.com/images/I/31vp24lBBwL._SS522_.jpg,wood,Wood,White/Pine Oak,https://www.amazon.com/dp/B0BW4WN2NL,"['wine cabinet', 'solid wood', 'scandinavian', 'white', 'natural wood']","This is a solid wood wine cabinet featuring a contemporary design. The main structure appears to be finished in a light, possibly white or off-white hue, which contrasts nicely with the natural wood tone of the wine racks and drawer front. The cabinet is divided into two sections: on the left, there are several rows of horizontal wine racks capable of holding multiple bottles, while the right side offers a combination of open shelving and a drawer for additional storage. The cabinet is supported by four angled legs, which give it a modern and slightly Scandinavian aesthetic. The use of solid wood suggests durability and quality, making it a functional yet stylish piece for storing wine and related accessories.","Contemporary solid wood wine cabinet with contrasting white and natural wood finishes, featuring horizontal wine racks, open shelving, a storage drawer, and angled legs for a modern Scandinavian look.","[-0.044187393, 0.0045462563, -0.02318868, -0.0021761043, -0.033847433, -0.028996244, -0.02991104, -0.014997101, -0.0023233725, 0.034374133, 0.025641995, -0.012017086, -0.015371337, -0.020485874, -0.009723167, 0.014886217, -0.0022523373, -0.030465461, -0.047541644, -0.019917592, 0.017353393, 0.012398251, 0.0014605542, 0.0010222147, 0.026390463, -0.017630603, -0.007782692, 0.00682978, -0.024671758, 0.046571407, 0.028719034, 0.012280436, -0.003418355, 0.05494317, -0.052780926, -0.0075193415, 0.009750889, 0.035122603, 0.066696905, 0.038310528, -0.01984829, 0.008461858, -0.039419368, 0.01575943, 0.026944885, -0.0004114847, -0.061263576, 0.016604925, 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-0.019210706, -0.013389279, 0.008073763, 0.0044630934, 0.015302033, 0.0076094354, 0.01934931, 0.005467982, -0.02576674, 0.024699477, 0.00928656, 0.015412918, -0.030853556, -0.014234772, 0.0046883267, 1.1261687e-05, -0.010534009, 0.0025330132, -0.0055026333, 0.009078653, -0.0078658555, 0.003943323, -0.009737028, -0.005204632, 0.0017187067, -0.03922532, -0.008946977, 0.017090043, 0.026598372, -0.0029089802, 0.0010880522, 0.013458582, 0.018268188, -0.0005929711, 0.0048754443, 0.0090994425, 0.003631461, 0.0033490525, 0.013631838, -0.011926993, 0.016119806, -0.011705224, -0.0003274552, 0.02189965, 0.008337113]" +"Black Leather Office Chair Mid Back Leather Desk Chair Modern Excutive Office Chair with Arms and Wheels for Home Office, by Artswish",https://m.media-amazon.com/images/I/317sVlhzMLL._SS522_.jpg,With arms,Sponge,Black,https://www.amazon.com/dp/B0BVQSPCCF,"['office chair', 'mid back', 'leather', 'black', 'with arms', 'with wheels', 'modern']","This is a mid-back leather office chair in black, designed for comfort and style in a home office setting. The chair features a generously padded seat and backrest, upholstered in a sleek black leather material that gives it a professional and modern appearance. The armrests are integrated into the design, providing support without compromising on style. It is mounted on a sturdy five-point base with dual-wheel casters for easy mobility, and the height can be adjusted to suit various desk heights and user preferences. The chair's silhouette is streamlined, making it a suitable match for a range of interior decors, particularly in contemporary and executive office spaces.","Mid-back black leather office chair with padded seat and backrest, integrated armrests, adjustable height, and a five-point base with casters for mobility, suitable for contemporary home offices.","[-0.0029677579, -0.016619444, -0.017997071, -0.008485589, -0.02182218, 0.026555937, -0.0005935516, 0.014113338, -0.0022313143, -0.020400587, 0.031919885, -0.027669763, -0.025046412, -0.018290183, -0.0029127994, -0.014706889, -0.042765025, -0.008742062, 0.046897903, -0.02465071, 0.025808502, -0.03989253, -0.0074303867, 0.024035174, -0.027186127, -0.027142162, 0.023375673, 0.004305081, 0.020004887, 0.026790427, 0.017088423, 0.023771375, 0.015490963, 0.04109429, 0.025134346, -0.012347339, -0.029179288, -0.019785052, 0.067181244, 0.020283343, 0.0057010264, -0.0022569615, 6.8240115e-05, -0.03030777, 0.00904983, -0.0009361261, -0.014787495, 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'metal']","This is a Convenience Concepts Tucson Flip Top End Table featuring a built-in charging station. The table measures 23.75 inches in length, 11.25 inches in width, and 24 inches in height. It has a sleek and modern design with a charcoal gray finish on the tabletop and shelf, complemented by a black frame. The frame showcases an X-shaped design on the sides, adding both stability and a decorative touch. The flip top reveals a convenient charging station with ample space for powering electronic devices, making it a practical addition to any living space. The lower shelf provides additional storage or display space. This end table combines functionality with contemporary style, suitable for a variety of home decors.","Modern charcoal gray end table with built-in charging station, featuring a flip top and additional lower shelf for storage, set in a black frame with an X-shaped design.","[-0.046870813, 0.008254637, -0.024838546, 0.014680715, -0.047826145, -0.005071452, -0.037496652, 0.0054446273, 0.0064820545, 0.0009105477, 0.03731753, -0.0044781035, -0.0024219076, -0.002442432, 0.0071649654, -0.02586851, -0.051110085, -0.0058625834, 0.011165404, -0.01268796, 0.007679947, -0.043557018, 0.011157941, 0.008172538, -0.0002665871, -0.016360004, -0.002097245, -0.022032268, -0.008493469, 0.026196904, -0.029391285, -0.0057916804, -0.0028342663, 0.03606366, -0.02067391, 0.03421271, 0.01833037, 0.0123521015, 0.030152563, 0.03606366, 0.019121502, 0.034242563, -0.013859729, 0.05812578, -0.0005103172, -0.012926792, 0.0010672812, -0.04164636, -0.0014413896, -0.03815344, -0.004679618, -0.019031938, -0.013083525, 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0.0018462847, 0.012523762, 0.004381078, 0.013128306, 0.01285962, -0.02512216, 0.010695203, 0.0002593568, 0.0066014705, -0.0050192075, 0.014382175, -0.0028062782, 0.0044557126, -0.009762265, -0.012001317, -0.003940731, -0.01583756, -0.010456371, 0.0054856767, -0.013471628, -0.015404675, 0.02137548, -0.003936999, 0.012613324, -0.021957634, 0.004937109, 0.015449456, -0.014397102, 0.01341192, 0.009209965]" +"3-Tier Kitchen Storage Cart with Handle, Multifunction Utility Rolling Cart Kitchen Storage Organizer, Mobile Shelving Unit Cart with Lockable Wheels for Office, Living Room, Kitchen - Black",https://m.media-amazon.com/images/I/41yBXlrog-L._SS522_.jpg,,Plastic,Black,https://www.amazon.com/dp/B0CMX4CMMS,"['kitchen cart', '3-tier', 'rolling', 'storage organizer', 'mobile shelving', 'lockable wheels', 'black']","This is a 3-tier kitchen storage cart featuring a sleek black finish. It is designed as a multifunctional utility rolling cart that can be used for organizing various items. The cart is equipped with a convenient handle at the top, making it easy to maneuver around your space. Each tier provides ample storage space, suitable for holding kitchen supplies, office materials, or items for the living room. + +The cart is constructed with a sturdy frame and includes lockable wheels at the base, ensuring both mobility and stability when needed. The lockable feature of the wheels allows the cart to stay in place without unwanted rolling. The open shelving design allows for easy access and visibility of the items stored on each level. + +Overall, this kitchen storage organizer is a practical addition to any home or office, offering a space-saving solution and the versatility to be used in various settings.","3-tier black kitchen storage cart with lockable wheels and a handle for easy maneuverability, ideal for organizing supplies in various settings.","[-0.035121214, -0.00852314, -0.013130044, -0.002459587, 0.02687728, 0.0042358534, 0.011168253, 0.0029481982, 0.00816311, 0.022042602, 0.0014961417, -0.027494473, -0.03835413, -0.018574568, 0.02997794, -0.021131508, 0.007810429, -0.01063923, 0.016340917, -0.010977216, 0.028802335, -0.035091825, -0.0016632981, 0.010345329, 0.020044073, -0.03823657, 0.016531952, -0.008831737, -0.012924313, 0.01701689, 0.0016853407, -0.011293161, 0.0042468747, 0.035473894, -0.031300496, 0.007825124, 0.009279936, 0.01838353, 0.034504022, 0.028684774, 0.040176317, -0.007847167, -0.00038505672, 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-0.033798657, -0.0047538546, 0.03861864, 0.0016678903, -0.0066348235, 0.002068331, 0.00094875036, -0.022718577, 0.0012362227, 0.01927993, -0.017487131, -0.017119756, -0.011520934, -0.012476114, 0.016561342, -0.030947816, 0.0037417319, 0.007810429, 0.001056208, 0.011991176, 0.0065576746, 0.0013363328, -0.010146945, 0.0090301195, 0.001428177, -0.01436443, 0.0006576043, -0.012858185, -0.0038574554, 0.0042211586, -0.0027240983, -0.002808595, 0.0021822178, 0.0030069784, 0.0015071629, 0.006238057, 0.0062233615, 0.025216738, 0.000615356, 0.016825853, 0.008119025, 2.329111e-05, 0.0020444514, -0.01704628, 0.025995577, -0.0012619391, -0.014055833, 0.0021013948]" +"Mimoglad Office Chair, High Back Ergonomic Desk Chair with Adjustable Lumbar Support and Headrest, Swivel Task Chair with flip-up Armrests for Guitar Playing, 5 Years Warranty",https://m.media-amazon.com/images/I/414jZL4tnaL._SS522_.jpg,With arms,Foam,Beige,https://www.amazon.com/dp/B0C2YQZS69,"['office chair', 'high back', 'ergonomic', 'adjustable lumbar support', 'headrest', 'swivel', 'flip-up armrests', 'mesh', 'wheeled base']","This Mimoglad Office Chair is designed with ergonomics in mind to provide comfort during long working hours. It features a high back that supports the natural curvature of the spine, and it is equipped with an adjustable lumbar support to reduce back strain. The headrest at the top of the chair offers additional support for the neck, making it ideal for extended periods of sitting. + +The chair is upholstered in a light green fabric that is both stylish and breathable, which is especially beneficial for maintaining comfort and air circulation. Its armrests are designed to flip up, allowing the user to play guitar or perform other activities where arm movement is essential without obstruction. + +The chair's frame and base are finished in white, giving it a clean and modern appearance that can easily blend with various office decors. It stands on a five-point caster wheelbase for easy mobility and stability. The height of the chair can be adjusted to accommodate different desk heights and user preferences. + +With a 5-year warranty, this chair promises durability and long-term service, ensuring that it is a sound investment for any office or home workspace.","Ergonomic office chair with adjustable lumbar support and flip-up armrests, upholstered in light green fabric with a white frame, featuring a high back and neck-supporting headrest.","[-0.03367563, -0.00913493, -0.016174553, -0.016717222, 0.0077933306, 0.0098735625, 0.008856057, 0.009896173, -0.01201409, -0.011720144, 0.038137577, -0.012059312, -0.027254047, 2.2625933e-05, 0.010755399, -0.038710393, -0.04416723, -0.012692426, 0.023741772, -0.015918292, 0.017772412, -0.017742263, -0.026093338, 0.0046164556, -0.0019191265, -0.0008540443, 0.026349599, 0.0011296184, 0.018300006, 0.014260137, 0.019536085, 0.023470437, 0.012594445, 0.06035686, 0.010114748, -0.02271673, -0.043021597, -0.034760967, 0.06934105, 0.045373164, 0.016626777, 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'farmhouse', 'indoor', 'outdoor', 'striped', 'text']","This is a decorative door mat featuring an inspirational phrase ""Let the adventure begin"" in a stylized font, accented with arrow and heart designs. The mat measures 17 inches by 30 inches, making it a suitable size for a front porch or entryway. The design incorporates a farmhouse aesthetic with horizontal stripes in a palette of neutral and blue tones, which could complement a variety of home decors, particularly those with a rustic or outdoor theme. + +The mat is intended for both indoor and outdoor use, making it versatile for different settings such as a home, campsite, travel trailer, or cabin. Its design and message make it an appealing accessory for those who enjoy camping or traveling, and it could serve as a charming welcome to guests. Additionally, it could be considered as a thoughtful gift for campers or individuals who love the adventure lifestyle.","Decorative ""Let the adventure begin"" door mat with a farmhouse style, perfect for outdoor enthusiasts and travelers.","[-0.056073766, -0.0068454365, -0.0146065755, 0.018939413, -0.018001376, -0.008948575, -0.026681941, -0.014264118, -0.019207424, -0.023540262, -0.00631686, -0.012216815, 0.0017699865, -0.003690729, -0.014480015, 0.024567636, -0.021917308, 0.016527317, 0.018835187, -0.03460314, -0.001038541, -0.011718018, -0.056699123, 0.0025479617, 0.014844808, 0.011889246, 0.0035846413, -0.01095121, 0.014130113, 0.05369145, 0.0064806445, 0.014829918, 0.012291262, -0.01392166, -0.036121868, 0.022483109, 0.014971368, 0.052976754, 0.0034431913, 0.034007564, 0.030791435, -0.026905283, 0.002330203, -0.0032440445, -0.031446572, 0.02471653, -0.009090025, -0.005840397, -0.0037651763, 0.02129195, -0.03412668, -0.009462262, -0.0039606006, 0.00839022, 0.026920173, 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0.0063466392, 0.022110872, 0.01728668, 0.010407744, 0.018835187, -0.0063243047, -0.012514604, 0.002633576, -0.015395718, -0.005196427, 0.01390677, -0.007727638, -0.009879167, 0.0012293124, 0.023346698, -0.004247223, -0.02103883, 0.011703128, 0.00015994554, 0.012455046, 0.01792693, -0.006298248, 0.012440157, -0.018105602, -0.00315843, -0.0019821615, -0.0067114313, -0.021098386, -0.005144314, 0.004370061, -0.0029425328, -0.024552746, 0.0019281871, -0.0077127484, 0.0013102739, -0.016021077, 0.0057250033]" +"1 Pack Adjustable Height Center Support Leg for Bed Frame,Bed Center Slat Heavy Extra Durable Steel Support Legs | Suitable for Bed Frame,Cabinet and Wooden Furniture",https://m.media-amazon.com/images/I/41ci+bNjHPL._SS522_.jpg,Straight,,1 Pack,https://www.amazon.com/dp/B09BVQZM3S,"['bed frame support leg', 'adjustable height', 'steel', 'durable']","The image displays an adjustable height center support leg designed for bed frames and other types of wooden furniture. This support leg is made from heavy-duty steel, ensuring durability and extra support. It features a broad, flat top bracket that can be mounted directly to the center slat of a bed frame or the underside of other furniture pieces for additional stability. + +The leg itself is telescopic, allowing for height adjustments to fit various furniture heights. This adjustability is achieved through a threaded rod mechanism that can be extended or retracted and then secured in place. At the base of the leg is a wide, circular foot with a black, non-marring pad to prevent damage to flooring and to enhance stability. + +The support leg is finished in a metallic color, likely chrome or stainless steel, which gives it a sleek, modern appearance. This item is typically used to prevent sagging in the middle of a bed or to reinforce other large furniture items that require additional support in the center. The image also shows a close-up of the adjustment mechanism and the base, providing a clear view of the product's components.","Adjustable height center support leg for bed frames and furniture, made from heavy-duty steel with a telescopic design for stability and floor protection.","[-0.017110363, -0.007393449, -0.015444989, -0.006755504, 0.036853086, 0.03655762, 0.008501459, 0.0044589015, -0.020279942, 0.023798713, -0.0056575667, 0.0077896467, -0.01357816, -0.023221206, 0.005254654, -0.044266682, 0.0072725755, 0.017513275, -0.011147253, -0.056730118, -0.0032451265, -0.05898643, -0.029224606, -0.008763352, 0.019178648, -0.036369592, 0.021152921, -0.01987703, -0.021327516, 0.044400986, -1.664376e-05, -0.008521605, -0.01705664, 0.04268189, 0.00092585996, 0.049397103, -0.023422662, 0.006883093, 0.044589013, 0.007890375, -0.016170232, 0.012463435, -0.029117163, 0.03185697, 0.04066733, 0.0056743547, 0.035590626, 0.00031078845, -0.049961183, -0.009320715, 0.021582695, 0.014813759, 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-0.015995637, 0.006345876, -0.01612994, -0.014786898, 0.011227836, -0.02053512, 0.015404698, -0.009784065, 0.009246848, 0.033038847, -0.004153359, 0.014155668, 0.0025803205, -0.022133341, 0.006997252, 0.02746522, -0.016922336, 0.010354858, 0.029170884, -4.637694e-05, 0.005264727, 0.01451829, -0.0055568386, 0.0025265987, -0.0037269432, -0.006916669, 0.008629048, 0.0030503855, -0.0030168092, -0.004435398, 0.020629134, -0.0003189726, -0.00915955, -0.0037000822, -0.010173547]" diff --git a/registry.yaml b/registry.yaml index 4257d2a..60d3784 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1166,7 +1166,11 @@ path: examples/RAG_with_graph_db.ipynb date: 2023-12-08 authors: +<<<<<<< HEAD + - katia-openai +======= - katiagg +>>>>>>> e92df85ad4da5a9b74e65b6b7390977d297aa7fa tags: - embeddings - completions @@ -1204,6 +1208,7 @@ - vision - embeddings + - title: How to parse PDF docs for RAG path: examples/Parse_PDF_docs_for_RAG.ipynb date: 2024-02-28 @@ -1211,4 +1216,14 @@ - katiagg tags: - vision - - embeddings \ No newline at end of file + - embeddings + + +- title: Using GPT-4V to tag & caption images + path: examples/Tag_caption_images_with_GPT4V.ipynb + date: 2024-02-28 + authors: + - katiagg + tags: + - vision + - embeddings From b8f79a985b7064f1dc99b8f6ed67920988312347 Mon Sep 17 00:00:00 2001 From: Logan Kilpatrick Date: Thu, 29 Feb 2024 14:39:19 -0600 Subject: [PATCH 06/44] Update registry.yaml --- registry.yaml | 102 ++++++++++++++++++++++++-------------------------- 1 file changed, 49 insertions(+), 53 deletions(-) diff --git a/registry.yaml b/registry.yaml index 60d3784..a3aecfd 100644 --- a/registry.yaml +++ b/registry.yaml @@ -14,7 +14,7 @@ tags: - completions -- title: Creating slides with the Assistants API and DALL-E3 +- title: Creating slides with the Assistants API and DALL·E 3 path: examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb date: 2023-12-08 authors: @@ -52,7 +52,7 @@ tags: - embeddings -- title: Clustering for Transaction Classification +- title: Clustering for transaction classification path: examples/Clustering_for_transaction_classification.ipynb date: 2022-10-20 authors: @@ -99,7 +99,7 @@ - embeddings - tiktoken -- title: Long Document Content Extraction +- title: Long document content extraction path: examples/Entity_extraction_for_long_documents.ipynb date: 2023-02-20 authors: @@ -164,7 +164,7 @@ - completions - functions -- title: How to count tokens with tiktoken +- title: How to count tokens with Tiktoken path: examples/How_to_count_tokens_with_tiktoken.ipynb date: 2022-12-16 authors: @@ -293,7 +293,7 @@ tags: - completions -- title: Unit test writing using a multi-step prompt (with the older API) +- title: Unit test writing using a multi-step prompt with legacy Completions path: >- examples/Unit_test_writing_using_a_multi-step_prompt_with_older_completions_API.ipynb date: 2023-05-19 @@ -389,7 +389,7 @@ tags: - dall-e -- title: Azure chat completions example (preview) +- title: Azure Chat Completions example (preview) path: examples/azure/chat.ipynb date: 2023-03-28 authors: @@ -399,7 +399,7 @@ tags: - completions -- title: Azure chat completion models with your own data (preview) +- title: Azure Chat Completion models with your own data (preview) path: examples/azure/chat_with_your_own_data.ipynb date: 2023-09-11 authors: @@ -474,7 +474,7 @@ - embeddings - completions -- title: Fine-Tuned Q&A - Collect Data +- title: Fine-Tuned Q&A - collect data path: examples/fine-tuned_qa/olympics-1-collect-data.ipynb date: 2022-03-10 authors: @@ -484,7 +484,7 @@ - embeddings - completions -- title: Fine-Tuned Q&A - Create Q&A +- title: Fine-Tuned Q&A - create Q&A path: examples/fine-tuned_qa/olympics-2-create-qa.ipynb date: 2022-03-10 authors: @@ -494,7 +494,7 @@ - embeddings - completions -- title: Fine-Tuned Q&A - Train +- title: Fine-Tuned Q&A - train path: examples/fine-tuned_qa/olympics-3-train-qa.ipynb date: 2022-03-10 authors: @@ -512,7 +512,7 @@ tags: - embeddings -- title: Financial Document Analysis with LlamaIndex +- title: Financial document analysis with LlamaIndex path: >- examples/third_party/financial_document_analysis_with_llamaindex.ipynb date: 2023-06-22 @@ -522,7 +522,7 @@ - embeddings - completions -- title: Vector Databases +- title: Vector databases path: examples/vector_databases/README.md date: 2023-06-28 authors: @@ -568,7 +568,7 @@ tags: - embeddings -- title: Question Answering with Langchain, AnalyticDB and OpenAI +- title: Question answering with Langchain, AnalyticDB and OpenAI path: >- examples/vector_databases/analyticdb/QA_with_Langchain_AnalyticDB_and_OpenAI.ipynb date: 2023-05-05 @@ -587,7 +587,7 @@ tags: - embeddings -- title: Philosophy with Vector Embeddings, OpenAI and Cassandra / Astra DB +- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB path: examples/vector_databases/cassandra_astradb/Philosophical_Quotes_CQL.ipynb date: 2023-08-29 authors: @@ -596,7 +596,7 @@ - embeddings - completions -- title: Philosophy with Vector Embeddings, OpenAI and Cassandra / Astra DB +- title: Philosophy with vector embeddings, OpenAI and Cassandra / Astra DB path: >- examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb date: 2023-08-29 @@ -614,7 +614,7 @@ tags: - embeddings -- title: Using Chroma for Embeddings Search +- title: Using Chroma for embeddings search path: examples/vector_databases/chroma/Using_Chroma_for_embeddings_search.ipynb date: 2023-06-28 authors: @@ -623,7 +623,7 @@ tags: - embeddings -- title: Robust Question Answering with Chroma and OpenAI +- title: Robust question answering with Chroma and OpenAI path: examples/vector_databases/chroma/hyde-with-chroma-and-openai.ipynb date: 2023-04-06 authors: @@ -669,7 +669,7 @@ tags: - embeddings -- title: Kusto as a Vector database for AI embeddings +- title: Kusto as a vector database for embeddings path: >- examples/vector_databases/kusto/Getting_started_with_kusto_and_openai_embeddings.ipynb date: 2023-05-10 @@ -678,7 +678,7 @@ tags: - embeddings -- title: Kusto as a Vector database +- title: Kusto as a vector database path: examples/vector_databases/kusto/README.md date: 2023-05-10 authors: @@ -686,7 +686,7 @@ tags: - embeddings -- title: Filtered Search with Milvus and OpenAI +- title: Filtered search with Milvus and OpenAI path: >- examples/vector_databases/milvus/Filtered_search_with_Milvus_and_OpenAI.ipynb date: 2023-03-28 @@ -695,7 +695,7 @@ tags: - embeddings -- title: Getting Started with Milvus and OpenAI +- title: Getting started with Milvus and OpenAI path: >- examples/vector_databases/milvus/Getting_started_with_Milvus_and_OpenAI.ipynb date: 2023-03-28 @@ -713,7 +713,7 @@ tags: - embeddings -- title: Using MyScale for Embeddings Search +- title: Using MyScale for embeddings search path: examples/vector_databases/myscale/Using_MyScale_for_embeddings_search.ipynb date: 2023-06-28 authors: @@ -721,7 +721,7 @@ tags: - embeddings -- title: Retrieval Augmentation for GPT-4 using Pinecone +- title: Retrieval augmentation for GPT-4 using Pinecone path: examples/vector_databases/pinecone/GPT4_Retrieval_Augmentation.ipynb date: 2023-03-24 authors: @@ -731,7 +731,7 @@ - completions - tiktoken -- title: Retrieval Augmented Generative Question Answering with Pinecone +- title: Retrieval augmented generative question answering with Pinecone path: examples/vector_databases/pinecone/Gen_QA.ipynb date: 2023-02-07 authors: @@ -740,7 +740,7 @@ - embeddings - completions -- title: Pinecone Vector Database +- title: Pinecone vector database path: examples/vector_databases/pinecone/README.md date: 2023-03-24 authors: @@ -749,7 +749,7 @@ - embeddings - completions -- title: Semantic Search with Pinecone and OpenAI +- title: Semantic search with Pinecone and OpenAI path: examples/vector_databases/pinecone/Semantic_Search.ipynb date: 2023-03-24 authors: @@ -757,7 +757,7 @@ tags: - embeddings -- title: Using Pinecone for Embeddings Search +- title: Using Pinecone for embeddings search path: >- examples/vector_databases/pinecone/Using_Pinecone_for_embeddings_search.ipynb date: 2023-06-28 @@ -775,7 +775,7 @@ tags: - embeddings -- title: Question Answering with Langchain, Qdrant and OpenAI +- title: Question answering with Langchain, Qdrant and OpenAI path: examples/vector_databases/qdrant/QA_with_Langchain_Qdrant_and_OpenAI.ipynb date: 2023-02-16 authors: @@ -783,7 +783,7 @@ tags: - embeddings -- title: Using Qdrant for Embeddings Search +- title: Using Qdrant for embeddings search path: examples/vector_databases/qdrant/Using_Qdrant_for_embeddings_search.ipynb date: 2023-06-28 authors: @@ -801,7 +801,7 @@ - embeddings - completions -- title: Using Redis for Embeddings Search +- title: Using Redis for embeddings search path: examples/vector_databases/redis/Using_Redis_for_embeddings_search.ipynb date: 2023-06-28 authors: @@ -809,7 +809,7 @@ tags: - embeddings -- title: Using Redis as a Vector Database with OpenAI +- title: Using Redis as a vector database with OpenAI path: examples/vector_databases/redis/getting-started-with-redis-and-openai.ipynb date: 2023-02-13 authors: @@ -817,7 +817,7 @@ tags: - embeddings -- title: Running Hybrid VSS Queries with Redis and OpenAI +- title: Running hybrid VSS queries with Redis and OpenAI path: examples/vector_databases/redis/redis-hybrid-query-examples.ipynb date: 2023-05-11 authors: @@ -825,7 +825,7 @@ tags: - embeddings -- title: Redis Vectors as JSON with OpenAI +- title: Redis vectors as JSON with OpenAI path: examples/vector_databases/redis/redisjson/redisjson.ipynb date: 2023-05-10 authors: @@ -833,7 +833,7 @@ tags: - embeddings -- title: Redis as a Context Store with OpenAI Chat +- title: Redis as a context store with Chat Completions path: examples/vector_databases/redis/redisqna/redisqna.ipynb date: 2023-05-11 authors: @@ -850,7 +850,7 @@ tags: - embeddings -- title: Question Answering with Langchain, Tair and OpenAI +- title: Question answering with Langchain, Tair and OpenAI path: examples/vector_databases/tair/QA_with_Langchain_Tair_and_OpenAI.ipynb date: 2023-09-11 authors: @@ -868,7 +868,7 @@ tags: - embeddings -- title: Using Typesense for Embeddings Search +- title: Using Typesense for embeddings search path: >- examples/vector_databases/typesense/Using_Typesense_for_embeddings_search.ipynb date: 2023-06-28 @@ -885,7 +885,7 @@ tags: - embeddings -- title: Using Weaviate for Embeddings Search +- title: Using Weaviate for embeddings search path: >- examples/vector_databases/weaviate/Using_Weaviate_for_embeddings_search.ipynb date: 2023-06-28 @@ -894,7 +894,7 @@ tags: - embeddings -- title: Using Weaviate with Generative OpenAI module for Generative Search +- title: Using Weaviate with generative OpenAI module for generative search path: >- examples/vector_databases/weaviate/generative-search-with-weaviate-and-openai.ipynb date: 2023-05-22 @@ -904,7 +904,7 @@ - embeddings - completions -- title: Using Weaviate with OpenAI vectorize module for Embeddings Search +- title: Using Weaviate with OpenAI vectorize module for embeddings search path: >- examples/vector_databases/weaviate/getting-started-with-weaviate-and-openai.ipynb date: 2023-02-13 @@ -913,7 +913,7 @@ tags: - embeddings -- title: Using Weaviate with OpenAI vectorize module for Hybrid Search +- title: Using Weaviate with OpenAI vectorize module for hybrid search path: >- examples/vector_databases/weaviate/hybrid-search-with-weaviate-and-openai.ipynb date: 2023-02-13 @@ -992,7 +992,7 @@ - completions - embeddings -- title: Fine-Tuning for Retrieval Augmented Generation (RAG) with Qdrant +- title: Fine-Tuning for retrieval augmented generation (RAG) with Qdrant path: examples/fine-tuned_qa/ft_retrieval_augmented_generation_qdrant.ipynb date: 2023-09-04 authors: @@ -1001,7 +1001,7 @@ - completions - embeddings -- title: How to automate AWS tasks with function-calling +- title: How to automate AWS tasks with function calling path: examples/third_party/How_to_automate_S3_storage_with_functions.ipynb date: 2023-09-27 authors: @@ -1027,7 +1027,7 @@ tags: - embeddings -- title: Question Answering with LangChain, Deep Lake, & OpenAI +- title: Question answering with LangChain, Deep Lake, & OpenAI path: examples/vector_databases/deeplake/deeplake_langchain_qa.ipynb date: 2023-09-30 authors: @@ -1035,7 +1035,7 @@ tags: - embeddings -- title: Fine-tuning GPT with Weights & Biases +- title: Fine-tuning OpenAI models with Weights & Biases path: examples/third_party/GPT_finetuning_with_wandb.ipynb date: 2023-10-04 authors: @@ -1053,7 +1053,7 @@ - tiktoken - completions -- title: How to build an agent with the Node.js SDK +- title: How to build an agent with the OpenAI Node.js SDK path: examples/How_to_build_an_agent_with_the_node_sdk.mdx date: 2023-10-05 authors: @@ -1080,7 +1080,7 @@ - ted-at-openai tags: [] -- title: Function-calling with an OpenAPI specification +- title: Function calling with an OpenAPI specification path: examples/Function_calling_with_an_OpenAPI_spec.ipynb date: 2023-10-15 authors: @@ -1090,7 +1090,7 @@ - completions - functions -- title: Fine tuning for function-calling +- title: Fine tuning for function calling path: examples/Fine_tuning_for_function_calling.ipynb date: 2023-11-07 authors: @@ -1110,7 +1110,7 @@ - vision - speech -- title: What's new with DALL·E-3? +- title: What's new with DALL·E 3? path: articles/what_is_new_with_dalle_3.mdx date: 2023-11-06 authors: @@ -1166,11 +1166,7 @@ path: examples/RAG_with_graph_db.ipynb date: 2023-12-08 authors: -<<<<<<< HEAD - - katia-openai -======= - katiagg ->>>>>>> e92df85ad4da5a9b74e65b6b7390977d297aa7fa tags: - embeddings - completions @@ -1219,7 +1215,7 @@ - embeddings -- title: Using GPT-4V to tag & caption images +- title: Using GPT-4 with Vision to tag & caption images path: examples/Tag_caption_images_with_GPT4V.ipynb date: 2024-02-28 authors: From b6aeae9bbabe624cd5d766cc96c9a187235dbbda Mon Sep 17 00:00:00 2001 From: katia-openai <152395277+katia-openai@users.noreply.github.com> Date: Mon, 4 Mar 2024 17:24:19 +0000 Subject: [PATCH 07/44] Updated registry (#1085) --- registry.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/registry.yaml b/registry.yaml index a3aecfd..e971880 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1195,7 +1195,7 @@ tags: - guardrails -- title: How to combine GPT-V with RAG to create a clothing matchmaker app +- title: How to combine GPTv with RAG to create a clothing matchmaker app path: examples/How_to_Combine_GPTv_with_RAG_Outfit_Assistant.ipynb date: 2024-02-16 authors: @@ -1215,7 +1215,7 @@ - embeddings -- title: Using GPT-4 with Vision to tag & caption images +- title: Using GPT4 with Vision to tag and caption images path: examples/Tag_caption_images_with_GPT4V.ipynb date: 2024-02-28 authors: From 5818b816beb89714849b58c77cecf3956d91957a Mon Sep 17 00:00:00 2001 From: Shyamal H Anadkat Date: Tue, 5 Mar 2024 08:46:00 -0800 Subject: [PATCH 08/44] updates authors.yaml (#1087) --- authors.yaml | 5 +++++ registry.yaml | 1 + 2 files changed, 6 insertions(+) diff --git a/authors.yaml b/authors.yaml index a5e0012..0a033f7 100644 --- a/authors.yaml +++ b/authors.yaml @@ -77,3 +77,8 @@ katiagg: name: "Katia Gil Guzman" website: "https://katia.gg" avatar: "https://avatars.githubusercontent.com/u/16519462?v=4" + +jbeutler-openai: + name: "Joe Beutler" + website: "https://joebeutler.com" + avatar: "https://avatars.githubusercontent.com/u/156261485?v=4" \ No newline at end of file diff --git a/registry.yaml b/registry.yaml index e971880..9423654 100644 --- a/registry.yaml +++ b/registry.yaml @@ -133,6 +133,7 @@ - BorisPower - ted-at-openai - logankilpatrick + - jbeutler-openai tags: - embeddings From 0d53977cfe3044709877eb02b0a958dd331ed61b Mon Sep 17 00:00:00 2001 From: Shyamal H Anadkat Date: Tue, 5 Mar 2024 08:55:04 -0800 Subject: [PATCH 09/44] Update registry.yaml (#1088) --- registry.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/registry.yaml b/registry.yaml index 9423654..c6b1cd1 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1197,7 +1197,7 @@ - guardrails - title: How to combine GPTv with RAG to create a clothing matchmaker app - path: examples/How_to_Combine_GPTv_with_RAG_Outfit_Assistant.ipynb + path: examples/How_to_combine_GPTv_with_RAG_Outfit_Assistant.ipynb date: 2024-02-16 authors: - teomusatoiu From 1b487d76dbf339ab505ef382fba7b20ca75db282 Mon Sep 17 00:00:00 2001 From: Yoandre Saavedra Gonzalez <2855358+yoandresaav@users.noreply.github.com> Date: Tue, 5 Mar 2024 21:11:40 -0600 Subject: [PATCH 10/44] Fix rate limit increase link in How_to_handle_rate_limits.ipynb (#1089) --- examples/How_to_handle_rate_limits.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/How_to_handle_rate_limits.ipynb b/examples/How_to_handle_rate_limits.ipynb index 7e85911..d76b393 100644 --- a/examples/How_to_handle_rate_limits.ipynb +++ b/examples/How_to_handle_rate_limits.ipynb @@ -43,7 +43,7 @@ "\n", "### Requesting a rate limit increase\n", "\n", - "If you'd like your organization's rate limit increased, please visit your [Limits settings page](https://platform.openai.com/account/limits) to see how you can increase your usage tier\n", + "If you'd like your organization's rate limit increased, please visit your [Limits settings page](https://platform.openai.com/account/limits) to see how you can increase your usage tier\n" ] }, { From 6b6f1c59d87fa373b764161230279027c4a4d80a Mon Sep 17 00:00:00 2001 From: Morgan Marshall Date: Tue, 5 Mar 2024 22:11:55 -0500 Subject: [PATCH 11/44] fix spelling (#1081) --- examples/Assistants_API_overview_python.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/Assistants_API_overview_python.ipynb b/examples/Assistants_API_overview_python.ipynb index 2eb8298..6435e49 100644 --- a/examples/Assistants_API_overview_python.ipynb +++ b/examples/Assistants_API_overview_python.ipynb @@ -1156,7 +1156,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Once again, let's update out Assistant either through the Dashboard or the API.\n" + "Once again, let's update our Assistant either through the Dashboard or the API.\n" ] }, { From 4f41695348d959d1b1f9dd10fafc0b6faad595d9 Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Wed, 6 Mar 2024 12:12:52 +0900 Subject: [PATCH 12/44] Fix typo in Fine_tuning_for_function_calling.ipynb (#1054) --- examples/Fine_tuning_for_function_calling.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/Fine_tuning_for_function_calling.ipynb b/examples/Fine_tuning_for_function_calling.ipynb index 78e8859..7d463cf 100644 --- a/examples/Fine_tuning_for_function_calling.ipynb +++ b/examples/Fine_tuning_for_function_calling.ipynb @@ -59,7 +59,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Note: *This notebook provides an example of how to create synthetic training data for fine tuning for function calling given just a list of functions. While real-world production test evals are preferable, this method produces strong results and can be used in conjuction with real-world training data.*" + "Note: *This notebook provides an example of how to create synthetic training data for fine tuning for function calling given just a list of functions. While real-world production test evals are preferable, this method produces strong results and can be used in conjunction with real-world training data.*" ] }, { From d00e9a48a63739f5b038797594c81c8bb494fc09 Mon Sep 17 00:00:00 2001 From: Tirendaz AI <55794407+TirendazAcademy@users.noreply.github.com> Date: Wed, 6 Mar 2024 06:13:50 +0300 Subject: [PATCH 13/44] Update How_to_finetune_chat_models.ipynb (#1011) --- examples/How_to_finetune_chat_models.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/How_to_finetune_chat_models.ipynb b/examples/How_to_finetune_chat_models.ipynb index 94b4511..b6da3dc 100644 --- a/examples/How_to_finetune_chat_models.ipynb +++ b/examples/How_to_finetune_chat_models.ipynb @@ -643,7 +643,7 @@ "test_messages = []\n", "test_messages.append({\"role\": \"system\", \"content\": system_message})\n", "user_message = create_user_message(test_row)\n", - "test_messages.append({\"role\": \"user\", \"content\": create_user_message(test_row)})\n", + "test_messages.append({\"role\": \"user\", \"content\": user_message})\n", "\n", "pprint(test_messages)" ] From 76ed3e46f9d87971e81e79cd1fe235ba9ba6a412 Mon Sep 17 00:00:00 2001 From: Teo Musatoiu <156829031+teomusatoiu@users.noreply.github.com> Date: Fri, 8 Mar 2024 11:58:13 +0000 Subject: [PATCH 14/44] Update gptv terminology to gpt-4v (#1093) --- ...=> How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb} | 6 +++--- registry.yaml | 4 ++-- 2 files changed, 5 insertions(+), 5 deletions(-) rename examples/{How_to_combine_GPTv_with_RAG_Outfit_Assistant.ipynb => How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb} (99%) diff --git a/examples/How_to_combine_GPTv_with_RAG_Outfit_Assistant.ipynb b/examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb similarity index 99% rename from examples/How_to_combine_GPTv_with_RAG_Outfit_Assistant.ipynb rename to examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb index 88772c8..a786021 100644 --- a/examples/How_to_combine_GPTv_with_RAG_Outfit_Assistant.ipynb +++ b/examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# How to combine GPTV with RAG - Create a Clothing Matchmaker App\n", + "# How to combine GPT-4V with RAG - Create a Clothing Matchmaker App\n", "\n", "Welcome to the Clothing Matchmaker App Jupyter Notebook! This project demonstrates the power of the GPT-4-vision model in analyzing images of clothing items and extracting key features such as color, style, and type. The core of our app relies on this advanced image analysis model developed by OpenAI, which enables us to accurately identify the characteristics of the input clothing item.\n", "\n", @@ -616,7 +616,7 @@ "source": [ "### Guardrails\n", "\n", - "In the context of using Large Language Models (LLMs) like GPTv, \"guardrails\" refer to mechanisms or checks put in place to ensure that the model's output remains within desired parameters or boundaries. These guardrails are crucial for maintaining the quality and relevance of the model's responses, especially when dealing with complex or nuanced tasks.\n", + "In the context of using Large Language Models (LLMs) like GPT-4v, \"guardrails\" refer to mechanisms or checks put in place to ensure that the model's output remains within desired parameters or boundaries. These guardrails are crucial for maintaining the quality and relevance of the model's responses, especially when dealing with complex or nuanced tasks.\n", "\n", "Guardrails are useful for several reasons:\n", "\n", @@ -625,7 +625,7 @@ "3. **Safety**: They prevent the model from generating harmful, offensive, or inappropriate content.\n", "4. **Contextual Relevance**: They ensure that the model's output is contextually relevant to the specific task or domain it is being used for.\n", "\n", - "In our case, we are using GPTv to analyze fashion images and suggest items that would complement an original outfit. To implement guardrails, we can **refine results**: After obtaining initial suggestions from GPTv, we can send the original image and the suggested items back to the model. We can then ask GPTv to evaluate whether each suggested item would indeed be a good fit for the original outfit.\n", + "In our case, we are using GPT-4v to analyze fashion images and suggest items that would complement an original outfit. To implement guardrails, we can **refine results**: After obtaining initial suggestions from GPT-4v, we can send the original image and the suggested items back to the model. We can then ask GPT-4v to evaluate whether each suggested item would indeed be a good fit for the original outfit.\n", "\n", "This gives the model the ability to self-correct and adjust its own output based on feedback or additional information. By implementing these guardrails and enabling self-correction, we can enhance the reliability and usefulness of the model's output in the context of fashion analysis and recommendation.\n", "\n", diff --git a/registry.yaml b/registry.yaml index c6b1cd1..2071937 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1196,8 +1196,8 @@ tags: - guardrails -- title: How to combine GPTv with RAG to create a clothing matchmaker app - path: examples/How_to_combine_GPTv_with_RAG_Outfit_Assistant.ipynb +- title: How to combine GPT4 with vision with RAG to create a clothing matchmaker app + path: examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb date: 2024-02-16 authors: - teomusatoiu From ed6194e621e98562fd0e43cc81b1498ab893e4dd Mon Sep 17 00:00:00 2001 From: ankur-oai <159943201+ankur-oai@users.noreply.github.com> Date: Fri, 8 Mar 2024 16:58:06 -0800 Subject: [PATCH 15/44] Add perplexity example to the `logprobs` user guide (#1071) Add perplexity example to using logprobs cookbook --- examples/Using_logprobs.ipynb | 95 +++++++++++++++++++++++++++++++---- 1 file changed, 86 insertions(+), 9 deletions(-) diff --git a/examples/Using_logprobs.ipynb b/examples/Using_logprobs.ipynb index a17ae2e..ee3c336 100644 --- a/examples/Using_logprobs.ipynb +++ b/examples/Using_logprobs.ipynb @@ -29,8 +29,11 @@ "3. Autocomplete\n", "* `logprobs` could help us decide how to suggest words as a user is typing.\n", "\n", - "4. Token highlighting and outputting bytes\\n\",\n", - "* Users can easily create a token highlighter using the built in tokenization that comes with enabling `logprobs`. Additionally, the bytes parameter includes the ASCII encoding of each output character, which is particularly useful for reproducing emojis and special characters.\"" + "4. Token highlighting and outputting bytes\n", + "* Users can easily create a token highlighter using the built in tokenization that comes with enabling `logprobs`. Additionally, the bytes parameter includes the ASCII encoding of each output character, which is particularly useful for reproducing emojis and special characters.\n", + "\n", + "5. Calculating perplexity\n", + "* `logprobs` can be used to help us assess the model's overall confidence in a result and help us compare the confidence of results from different prompts." ] }, { @@ -42,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 264, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -57,7 +60,7 @@ }, { "cell_type": "code", - "execution_count": 265, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -764,7 +767,82 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 5. Conclusion" + "## 5. Calculating perplexity\n", + "\n", + "When looking to assess the model's confidence in a result, it can be useful to calculate perplexity, which is a measure of the uncertainty. Perplexity can be calculated by exponentiating the negative of the average of the logprobs. Generally, a higher perplexity indicates a more uncertain result, and a lower perplexity indicates a more confident result. As such, perplexity can be used to both assess the result of an individual model run and also to compare the relative confidence of results between model runs. While a high confidence doesn't guarantee result accuracy, it can be a helpful signal that can be paired with other evaluation metrics to build a better understanding of your prompt's behavior.\n", + "\n", + "For example, let's say that I want to use `gpt-3.5-turbo` to learn more about artificial intelligence. I could ask a question about recent history and a question about the future:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prompt: In a short sentence, has artifical intelligence grown in the last decade?\n", + "Response: Yes, artificial intelligence has grown significantly in the last decade. \n", + "\n", + "Tokens: Yes , artificial intelligence has grown significantly in the last decade .\n", + "Logprobs: -0.00 -0.00 -0.00 -0.00 -0.00 -0.53 -0.11 -0.00 -0.00 -0.01 -0.00 -0.00\n", + "Perplexity: 1.0564125277713383 \n", + "\n", + "Prompt: In a short sentence, what are your thoughts on the future of artificial intelligence?\n", + "Response: The future of artificial intelligence holds great potential for transforming industries and improving efficiency, but also raises ethical and societal concerns that must be carefully addressed. \n", + "\n", + "Tokens: The future of artificial intelligence holds great potential for transforming industries and improving efficiency , but also raises ethical and societal concerns that must be carefully addressed .\n", + "Logprobs: -0.19 -0.03 -0.00 -0.00 -0.00 -0.30 -0.51 -0.24 -0.03 -1.45 -0.23 -0.03 -0.22 -0.83 -0.48 -0.01 -0.38 -0.07 -0.47 -0.63 -0.18 -0.26 -0.01 -0.14 -0.00 -0.59 -0.55 -0.00\n", + "Perplexity: 1.3220795252314004 \n", + "\n" + ] + } + ], + "source": [ + "prompts = [\n", + " \"In a short sentence, has artifical intelligence grown in the last decade?\",\n", + " \"In a short sentence, what are your thoughts on the future of artificial intelligence?\",\n", + "]\n", + "\n", + "for prompt in prompts:\n", + " API_RESPONSE = get_completion(\n", + " [{\"role\": \"user\", \"content\": prompt}],\n", + " model=\"gpt-3.5-turbo\",\n", + " logprobs=True,\n", + " )\n", + "\n", + " logprobs = [token.logprob for token in API_RESPONSE.choices[0].logprobs.content]\n", + " response_text = API_RESPONSE.choices[0].message.content\n", + " response_text_tokens = [token.token for token in API_RESPONSE.choices[0].logprobs.content]\n", + " max_starter_length = max(len(s) for s in [\"Prompt:\", \"Response:\", \"Tokens:\", \"Logprobs:\", \"Perplexity:\"])\n", + " max_token_length = max(len(s) for s in response_text_tokens)\n", + " \n", + "\n", + " formatted_response_tokens = [s.rjust(max_token_length) for s in response_text_tokens]\n", + " formatted_lps = [f\"{lp:.2f}\".rjust(max_token_length) for lp in logprobs]\n", + "\n", + " perplexity_score = np.exp(-np.mean(logprobs))\n", + " print(\"Prompt:\".ljust(max_starter_length), prompt)\n", + " print(\"Response:\".ljust(max_starter_length), response_text, \"\\n\")\n", + " print(\"Tokens:\".ljust(max_starter_length), \" \".join(formatted_response_tokens))\n", + " print(\"Logprobs:\".ljust(max_starter_length), \" \".join(formatted_lps))\n", + " print(\"Perplexity:\".ljust(max_starter_length), perplexity_score, \"\\n\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this example, `gpt-3.5-turbo` returned a lower perplexity score for a more deterministic question about recent history, and a higher perplexity score for a more speculative assessment about the near future. Again, while these differences don't guarantee accuracy, they help point the way for our interpretation of the model's results and our future use of them." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6. Conclusion" ] }, { @@ -778,7 +856,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 6. Possible extensions" + "## 7. Possible extensions" ] }, { @@ -786,7 +864,6 @@ "metadata": {}, "source": [ "There are many other use cases for `logprobs` that are not covered in this cookbook. We can use `logprobs` for:\n", - " - Evaluations (e.g.: calculate `perplexity` of outputs, which is the evaluation metric of uncertainty or surprise of the model at its outcomes)\n", " - Moderation\n", " - Keyword selection\n", " - Improve prompts and interpretability of outputs\n", @@ -811,9 +888,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.11.8" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } From e423a0e85609930311120836a6c67ec9cbc6f81a Mon Sep 17 00:00:00 2001 From: Teo Musatoiu <156829031+teomusatoiu@users.noreply.github.com> Date: Mon, 11 Mar 2024 15:09:14 +0000 Subject: [PATCH 16/44] Add moderation cookbook (#1078) --- examples/How_to_use_moderation.ipynb | 498 +++++++++++++++++++++++++++ registry.yaml | 9 + 2 files changed, 507 insertions(+) create mode 100644 examples/How_to_use_moderation.ipynb diff --git a/examples/How_to_use_moderation.ipynb b/examples/How_to_use_moderation.ipynb new file mode 100644 index 0000000..13373d9 --- /dev/null +++ b/examples/How_to_use_moderation.ipynb @@ -0,0 +1,498 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# How to use the moderation API\n", + "\n", + "**Note:** This guide is designed to complement our Guardrails Cookbook by providing a more focused look at moderation techniques. While there is some overlap in content and structure, this cookbook delves deeper into the nuances of tailoring moderation criteria to specific needs, offering a more granular level of control. If you're interested in a broader overview of content safety measures, including guardrails and moderation, we recommend starting with the [Guardrails Cookbook](https://cookbook.openai.com/examples/how_to_use_guardrails). Together, these resources offer a comprehensive understanding of how to effectively manage and moderate content within your applications.\n", + "\n", + "Moderation, much like guardrails in the physical world, serves as a preventative measure to ensure that your application remains within the bounds of acceptable and safe content. Moderation techniques are incredibly versatile and can be applied to a wide array of scenarios where LLMs might encounter issues. This notebook is designed to offer straightforward examples that can be adapted to suit your specific needs, while also discussing the considerations and trade-offs involved in deciding whether to implement moderation and how to go about it. This notebook will use our [Moderation API](https://platform.openai.com/docs/guides/moderation/overview), a tool you can use to check whether text is potentially harmful.\n", + "\n", + "This notebook will concentrate on:\n", + "\n", + "- **Input Moderation:** Identifying and flagging inappropriate or harmful content before it is processed by your LLM.\n", + "- **Output Moderation:** Reviewing and validating the content generated by your LLM before it reaches the end user.\n", + "- **Custom Moderation:** Tailoring moderation criteria and rules to suit the specific needs and context of your application, ensuring a personalized and effective content control mechanism." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from openai import OpenAI\n", + "client = OpenAI()\n", + "\n", + "GPT_MODEL = 'gpt-3.5-turbo'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1. Input moderation\n", + "Input Moderation focuses on preventing harmful or inappropriate content from reaching the LLM, with common applications including:\n", + "- **Content Filtering:** Prevent the spread of harmful content such as hate speech, harassment, explicit material, and misinformation on social media, forums, and content creation platforms.\n", + "- **Community Standards Enforcement:** Ensure that user interactions, such as comments, forum posts, and chat messages, adhere to the community guidelines and standards of online platforms, including educational environments, gaming communities, or dating apps.\n", + "- **Spam and Fraud Prevention:** Filter out spam, fraudulent content, and misleading information in online forums, comment sections, e-commerce platforms, and customer reviews.\n", + "\n", + "These measures act as preventive controls, operating before or alongside the LLM to alter your application's behavior if specific criteria are met." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Embrace async\n", + "A common design to minimize latency is to send your moderations asynchronously along with your main LLM call. If your moderation gets triggered you send back a placeholder response, otherwise send back the LLM response. This pattern can also be found in our [Guardrails Cookbook](https://cookbook.openai.com/examples/how_to_use_guardrails). It's important to note that while the async mode is effective in minimizing latency, it can also lead to unnecessary costs. Specifically, you could avoid completion costs if the content is flagged before processing. Therefore, it's crucial to balance the benefits of reduced latency with the potential for increased expenses when using async mode.\n", + "\n", + "We'll use this approach, creating an execute_chat_with_moderation function that will run our LLM's get_chat_response and the check_expression moderation function in parallel, and return the LLM response only if the moderation returns False (not triggered).\n", + "\n", + "#### Workflow:\n", + "We will create a workflow that incorporates the Moderation API to check user input for any potentially unsafe content before it is sent to the Language Model (LLM). This ensures that only appropriate content is processed further in the application.\n", + "\n", + "1. Receive an input from the user\n", + "2. Use the Moderation API to analyze the input for any problematic content. \n", + "3. **Conditional Processing:** \n", + "- If the input is flagged by the moderation check, handle it accordingly (e.g., reject the input, ask the user to rephrase, etc.).\n", + "- If the input is not flagged, pass it to the LLM for further processing.\n", + "\n", + "We will demonstrate this workflow with two example prompts." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "system_prompt = \"You are a helpful assistant.\"\n", + "\n", + "bad_request = \"I want to hurt them. How can i do this?\"\n", + "good_request = \"I would kill for a cup of coffe. Where can I get one nearby?\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import asyncio\n", + "\n", + "async def check_moderation_flag(expression):\n", + " moderation_response = client.moderations.create(input=expression)\n", + " flagged = moderation_response.results[0].flagged\n", + " return flagged\n", + " \n", + "async def get_chat_response(user_request):\n", + " print(\"Getting LLM response\")\n", + " messages = [\n", + " {\"role\": \"system\", \"content\": system_prompt},\n", + " {\"role\": \"user\", \"content\": user_request},\n", + " ]\n", + " response = client.chat.completions.create(\n", + " model=GPT_MODEL, messages=messages, temperature=0.5\n", + " )\n", + " print(\"Got LLM response\")\n", + " return response.choices[0].message.content\n", + "\n", + "\n", + "async def execute_chat_with_input_moderation(user_request):\n", + " # Create tasks for moderation and chat response\n", + " moderation_task = asyncio.create_task(check_moderation_flag(user_request))\n", + " chat_task = asyncio.create_task(get_chat_response(user_request))\n", + "\n", + " while True:\n", + " # Wait for either the moderation task or chat task to complete\n", + " done, _ = await asyncio.wait(\n", + " [moderation_task, chat_task], return_when=asyncio.FIRST_COMPLETED\n", + " )\n", + "\n", + " # If moderation task is not completed, wait and continue to the next iteration\n", + " if moderation_task not in done:\n", + " await asyncio.sleep(0.1)\n", + " continue\n", + "\n", + " # If moderation is triggered, cancel the chat task and return a message\n", + " if moderation_task.result() == True:\n", + " chat_task.cancel()\n", + " print(\"Moderation triggered\")\n", + " return \"We're sorry, but your input has been flagged as inappropriate. Please rephrase your input and try again.\"\n", + "\n", + " # If chat task is completed, return the chat response\n", + " if chat_task in done:\n", + " return chat_task.result()\n", + "\n", + " # If neither task is completed, sleep for a bit before checking again\n", + " await asyncio.sleep(0.1)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Getting LLM response\n", + "Got LLM response\n", + "I can help you with that! To find a nearby coffee shop, you can use a mapping app on your phone or search online for coffee shops in your current location. Alternatively, you can ask locals or check for any cafes or coffee shops in the vicinity. Enjoy your coffee!\n" + ] + } + ], + "source": [ + "# Call the main function with the good request - this should go through\n", + "good_response = await execute_chat_with_input_moderation(good_request)\n", + "print(good_response)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Getting LLM response\n", + "Got LLM response\n", + "Moderation triggered\n", + "We're sorry, but your input has been flagged as inappropriate. Please rephrase your input and try again.\n" + ] + } + ], + "source": [ + "# Call the main function with the bad request - this should get blocked\n", + "bad_response = await execute_chat_with_input_moderation(bad_request)\n", + "print(bad_response)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks like our moderation worked - the first question was allowed through, but the second was blocked for inapropriate content. Now we'll extend this concept to moderate the response we get from the LLM as well." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. Output moderation\n", + "\n", + "Output moderation is crucial for controlling the content generated by the Language Model (LLM). While LLMs should not output illegal or harmful content, it can be helpful to put additional guardrails in place to further ensure that the content remains within acceptable and safe boundaries, enhancing the overall security and reliability of the application. Common types of output moderation include:\n", + "\n", + "- **Content Quality Assurance:** Ensure that generated content, such as articles, product descriptions, and educational materials, is accurate, informative, and free from inappropriate information.\n", + "- **Community Standards Compliance:** Maintain a respectful and safe environment in online forums, discussion boards, and gaming communities by filtering out hate speech, harassment, and other harmful content.\n", + "- **User Experience Enhancement:** Improve the user experience in chatbots and automated services by providing responses that are polite, relevant, and free from any unsuitable language or content.\n", + "\n", + "In all these scenarios, output moderation plays a crucial role in maintaining the quality and integrity of the content generated by language models, ensuring that it meets the standards and expectations of the platform and its users." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Setting moderation thresholds\n", + "Our output moderation will assess the LLM's response and block anything scoring a 0.4 or higher in any category. Setting this threshold is a common area for optimization - we recommend building an evaluation set and grading the results using a confusion matrix to set the right tolerance for your moderation. The trade-off here is generally:\n", + "\n", + "- More false positives leads to a fractured user experience, where customers get annoyed and the assistant seems less helpful.\n", + "- More false negatives can cause lasting harm to your business, as people get the assistant to answer inappropriate questions, or provide inappropriate responses.\n", + "\n", + "For example, on a platform dedicated to creative writing, the moderation threshold for certain sensitive topics might be set higher to allow for greater creative freedom while still providing a safety net to catch content that is clearly beyond the bounds of acceptable expression. The trade-off is that some content that might be considered inappropriate in other contexts is allowed, but this is deemed acceptable given the platform's purpose and audience expectations.\n", + "\n", + "#### Workflow:\n", + "We will create a workflow that incorporates the Moderation API to check the LLM response for any potentially unsafe content before it is sent to the Language Model (LLM). This ensures that only appropriate content is displayed to the user.\n", + "\n", + "1. Receive an input from the user\n", + "2. Send prompt to LLM and generate a response\n", + "3. Use the Moderation API to analyze the LLM's response for any problematic content. \n", + "3. **Conditional Processing:** \n", + "- If the response is flagged by the moderation check, handle it accordingly (e.g., reject the response, show a placeholder message, etc.).\n", + "- If the response is not flagged, display it to the user.\n", + "\n", + "We will demonstrate this workflow with the previous two example prompts." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "async def execute_all_moderations(user_request):\n", + " # Create tasks for moderation and chat response\n", + " input_moderation_task = asyncio.create_task(check_moderation_flag(user_request))\n", + " chat_task = asyncio.create_task(get_chat_response(user_request))\n", + "\n", + " while True:\n", + " done, _ = await asyncio.wait(\n", + " [input_moderation_task, chat_task], return_when=asyncio.FIRST_COMPLETED\n", + " )\n", + "\n", + " # If input moderation is not completed, wait and continue to the next iteration\n", + " if input_moderation_task not in done:\n", + " await asyncio.sleep(0.1)\n", + " continue\n", + "\n", + " # If input moderation is triggered, cancel chat task and return a message\n", + " if input_moderation_task.result() == True:\n", + " chat_task.cancel()\n", + " print(\"Input moderation triggered\")\n", + " return \"We're sorry, but your input has been flagged as inappropriate. Please rephrase your input and try again.\"\n", + "\n", + " # Check if chat task is completed\n", + " if chat_task in done:\n", + " chat_response = chat_task.result()\n", + " output_moderation_response = await check_moderation_flag(chat_response)\n", + "\n", + " # Check if output moderation is triggered\n", + " if output_moderation_response == True:\n", + " print(\"Moderation flagged for LLM response.\")\n", + " return \"Sorry, we're not permitted to give this answer. I can help you with any general queries you might have.\"\n", + " \n", + " print('Passed moderation')\n", + " return chat_response\n", + "\n", + " # If neither task is completed, sleep for a bit before checking again\n", + " await asyncio.sleep(0.1)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Adding a request that should pass our input guardrail but not pass our output guardrail.\n", + "interesting_request = \"Describe a scene from a violent movie in detail.\"" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "I would kill for a cup of coffe. Where can I get one nearby?\n", + "Getting LLM response\n", + "Got LLM response\n", + "Passed moderation\n", + "I can help you with that! To find a nearby coffee shop, you can use a mapping app on your phone or search online for coffee shops in your area. Additionally, you can ask locals or nearby businesses for recommendations. Enjoy your coffee!\n", + "\n", + "\n", + "\n", + "I want to hurt them. How can i do this?\n", + "Getting LLM response\n", + "Got LLM response\n", + "Input moderation triggered\n", + "We're sorry, but your input has been flagged as inappropriate. Please rephrase your input and try again.\n", + "\n", + "\n", + "\n", + "Describe a scene from a violent movie in detail.\n", + "Getting LLM response\n", + "Got LLM response\n", + "Passed moderation\n", + "I'm sorry, but I can't provide detailed descriptions of violent scenes from movies. If you have any other questions or need information on a different topic, feel free to ask!\n", + "\n", + "\n", + "\n" + ] + } + ], + "source": [ + "tests = [good_request, bad_request, interesting_request]\n", + "\n", + "for test in tests:\n", + " print(test)\n", + " result = await execute_all_moderations(test)\n", + " print(result)\n", + " print('\\n\\n')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As observed, the first two examples behaved as expected. However, the \"interesting example\" did not perform as anticipated. This discrepancy arises because all OpenAI models employ output moderation for their content generations. Nevertheless, as a user, you have the ability to adjust the moderation settings and screen for content that may not be explicitly harmful. In the following section, titled \"Custom Moderation\", we will explore how to modify these moderation settings to suit your specific needs." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3. Custom moderation\n", + "\n", + "**Note: This section does not use the Moderation API.**\n", + "\n", + "Custom moderation provides a tailored approach to content filtering, allowing for precise adherence to specific community standards or topics, making it an ideal choice for niche platforms or specialized content. Unlike the general categories covered by the moderation API, custom moderation offers a higher degree of control and requires more effort to set up and maintain. It shares the common goal of ensuring content safety with guardrails, focusing on setting criteria to filter and manage content, whether it's user input or output from language models. Custom moderation can be an alternative or an extension to the moderation API, that uses our completions endpoint. For those interested in exploring guardrails further, a cookbook with examples and guidance is available [here](https://cookbook.openai.com/examples/how_to_use_guardrails).\n", + "\n", + "#### Workflow\n", + "We will implement a small example to showcase custom moderation. We will use an extra call to gpt-4 to assess messages and decide if they should be moderated or not." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def custom_moderation(content, parameters):\n", + " # Define the prompt for GPT-4\n", + " prompt = f\"\"\"Please assess the following content for any inappropriate material. You should base your assessment on the given parameters.\n", + " Your answer should be in json format with the following fields: \n", + " - flagged: a boolean indicating whether the content is flagged for any of the categories in the parameters\n", + " - reason: a string explaining the reason for the flag, if any\n", + " - parameters: a dictionary of the parameters used for the assessment and their values\n", + " Parameters: {parameters}\\n\\nContent:\\n{content}\\n\\nAssessment:\"\"\"\n", + " \n", + " # Call GPT-4 with the prompt\n", + " response = client.chat.completions.create(\n", + " model=\"gpt-4-turbo-preview\",\n", + " response_format={ \"type\": \"json_object\" },\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": \"You are a content moderation assistant.\"},\n", + " {\"role\": \"user\", \"content\": prompt}\n", + " ]\n", + " )\n", + " \n", + " # Extract the assessment from the response\n", + " assessment = response.choices[0].message.content\n", + " \n", + " return assessment" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Example content and parameters\n", + "parameters = \"political content, misinformation\"" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{\n", + " \"flagged\": false,\n", + " \"reason\": \"The content does not contain political content or misinformation. The phrase 'I would kill for a cup of coffee' is a common expression indicating a strong desire for coffee and not a literal intent.\",\n", + " \"parameters\": {\n", + " \"political content\": false,\n", + " \"misinformation\": false\n", + " }\n", + "}\n" + ] + } + ], + "source": [ + "# Use the custom moderation function for the good example\n", + "moderation_result = custom_moderation(good_request, parameters)\n", + "print(moderation_result)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{\n", + " \"flagged\": true,\n", + " \"reason\": \"The content contains language that implies intent to cause harm, which violates guidelines concerning violent or harmful behavior, even though the specific parameters were political content and misinformation. This assessment is based on a general guideline to prevent harm or promotion of violence.\",\n", + " \"parameters\": {\n", + " \"political content\": false,\n", + " \"misinformation\": false\n", + " }\n", + "}\n" + ] + } + ], + "source": [ + "# Use the custom moderation function for the bad example\n", + "moderation_result = custom_moderation(bad_request, parameters)\n", + "print(moderation_result)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{\n", + " \"flagged\": true,\n", + " \"reason\": \"The content suggests political content by discussing the government and hints at misinformation by suggesting the government is hiding the truth about the pandemic without providing evidence.\",\n", + " \"parameters\": {\n", + " \"political content\": true,\n", + " \"misinformation\": true\n", + " }\n", + "}\n" + ] + } + ], + "source": [ + "# Use the custom moderation function for a custom example\n", + "custom_request = \"I want to talk about how the government is hiding the truth about the pandemic.\"\n", + "moderation_result = custom_moderation(custom_request, parameters)\n", + "print(moderation_result)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Conclusion\n", + "\n", + "In conclusion, this notebook has explored the essential role of moderation in applications powered by language models (LLMs). We've delved into both input and output moderation strategies, highlighting their significance in maintaining a safe and respectful environment for user interactions. Through practical examples, we've demonstrated the use of OpenAI's Moderation API to preemptively filter user inputs and to scrutinize LLM-generated responses for appropriateness. The implementation of these moderation techniques is crucial for upholding the integrity of your application and ensuring a positive experience for your users.\n", + "\n", + "As you further develop your application, consider the ongoing refinement of your moderation strategies through custom moderations. This may involve tailoring moderation criteria to your specific use case or integrating a combination of machine learning models and rule-based systems for a more nuanced analysis of content. Striking the right balance between allowing freedom of expression and ensuring content safety is key to creating an inclusive and constructive space for all users. By continuously monitoring and adjusting your moderation approach, you can adapt to evolving content standards and user expectations, ensuring the long-term success and relevance of your LLM-powered application.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/registry.yaml b/registry.yaml index 2071937..69ee97c 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1224,3 +1224,12 @@ tags: - vision - embeddings + + +- title: How to use the moderation API + path: examples/How_to_use_moderation.ipynb + date: 2024-03-05 + authors: + - teomusatoiu + tags: + - moderation From 1dad5f913e274c8f8cb7f11fba65a0cb13d97b21 Mon Sep 17 00:00:00 2001 From: Teo Musatoiu <156829031+teomusatoiu@users.noreply.github.com> Date: Mon, 11 Mar 2024 15:10:55 +0000 Subject: [PATCH 17/44] Update gpt-4v to gpt-4V and gpt-4 with Vision (#1096) --- ..._to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb | 12 ++++++------ registry.yaml | 2 +- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb b/examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb index a786021..80659a2 100644 --- a/examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb +++ b/examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb @@ -6,11 +6,11 @@ "source": [ "# How to combine GPT-4V with RAG - Create a Clothing Matchmaker App\n", "\n", - "Welcome to the Clothing Matchmaker App Jupyter Notebook! This project demonstrates the power of the GPT-4-vision model in analyzing images of clothing items and extracting key features such as color, style, and type. The core of our app relies on this advanced image analysis model developed by OpenAI, which enables us to accurately identify the characteristics of the input clothing item.\n", + "Welcome to the Clothing Matchmaker App Jupyter Notebook! This project demonstrates the power of the GPT-4V model in analyzing images of clothing items and extracting key features such as color, style, and type. The core of our app relies on this advanced image analysis model developed by OpenAI, which enables us to accurately identify the characteristics of the input clothing item.\n", "\n", - "GPT-4-vision is a model that combines natural language processing with image recognition, allowing it to understand and generate responses based on both text and visual inputs.\n", + "GPT-4V is a model that combines natural language processing with image recognition, allowing it to understand and generate responses based on both text and visual inputs.\n", "\n", - "Building on the capabilities of the GPT-4-vision model, we employ a custom matching algorithm and the RAG technique to search our knowledge base for items that complement the identified features. This algorithm takes into account factors like color compatibility and style coherence to provide users with suitable recommendations. Through this notebook, we aim to showcase the practical application of these technologies in creating a clothing recommendation system.\n", + "Building on the capabilities of the GPT-4V model, we employ a custom matching algorithm and the RAG technique to search our knowledge base for items that complement the identified features. This algorithm takes into account factors like color compatibility and style coherence to provide users with suitable recommendations. Through this notebook, we aim to showcase the practical application of these technologies in creating a clothing recommendation system.\n", "\n", "Using the combination of GPT-4 Vision + RAG (Retrieval-Augmented Generation) offers several advantages:\n", "\n", @@ -616,7 +616,7 @@ "source": [ "### Guardrails\n", "\n", - "In the context of using Large Language Models (LLMs) like GPT-4v, \"guardrails\" refer to mechanisms or checks put in place to ensure that the model's output remains within desired parameters or boundaries. These guardrails are crucial for maintaining the quality and relevance of the model's responses, especially when dealing with complex or nuanced tasks.\n", + "In the context of using Large Language Models (LLMs) like GPT-4V, \"guardrails\" refer to mechanisms or checks put in place to ensure that the model's output remains within desired parameters or boundaries. These guardrails are crucial for maintaining the quality and relevance of the model's responses, especially when dealing with complex or nuanced tasks.\n", "\n", "Guardrails are useful for several reasons:\n", "\n", @@ -625,7 +625,7 @@ "3. **Safety**: They prevent the model from generating harmful, offensive, or inappropriate content.\n", "4. **Contextual Relevance**: They ensure that the model's output is contextually relevant to the specific task or domain it is being used for.\n", "\n", - "In our case, we are using GPT-4v to analyze fashion images and suggest items that would complement an original outfit. To implement guardrails, we can **refine results**: After obtaining initial suggestions from GPT-4v, we can send the original image and the suggested items back to the model. We can then ask GPT-4v to evaluate whether each suggested item would indeed be a good fit for the original outfit.\n", + "In our case, we are using GPT-4V to analyze fashion images and suggest items that would complement an original outfit. To implement guardrails, we can **refine results**: After obtaining initial suggestions from GPT-4V, we can send the original image and the suggested items back to the model. We can then ask GPT-4V to evaluate whether each suggested item would indeed be a good fit for the original outfit.\n", "\n", "This gives the model the ability to self-correct and adjust its own output based on feedback or additional information. By implementing these guardrails and enabling self-correction, we can enhance the reliability and usefulness of the model's output in the context of fashion analysis and recommendation.\n", "\n", @@ -795,7 +795,7 @@ "source": [ "### Conclusion\n", "\n", - "In this Jupyter Notebook, we explored the application of GPT-4-vision and other machine learning techniques to the domain of fashion. We demonstrated how to analyze images of clothing items, extract relevant features, and use this information to find matching items that complement an original outfit. Through the implementation of guardrails and self-correction mechanisms, we refined the model's suggestions to ensure they are accurate and contextually relevant.\n", + "In this Jupyter Notebook, we explored the application of GPT-4 with Vision and other machine learning techniques to the domain of fashion. We demonstrated how to analyze images of clothing items, extract relevant features, and use this information to find matching items that complement an original outfit. Through the implementation of guardrails and self-correction mechanisms, we refined the model's suggestions to ensure they are accurate and contextually relevant.\n", "\n", "This approach has several practical uses in the real world, including:\n", "\n", diff --git a/registry.yaml b/registry.yaml index 69ee97c..ed70832 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1196,7 +1196,7 @@ tags: - guardrails -- title: How to combine GPT4 with vision with RAG to create a clothing matchmaker app +- title: How to combine GPT4 with Vision with RAG to create a clothing matchmaker app path: examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb date: 2024-02-16 authors: From bed41103a2ddf48893822a8189216397ae1a928c Mon Sep 17 00:00:00 2001 From: Teo Musatoiu <156829031+teomusatoiu@users.noreply.github.com> Date: Mon, 11 Mar 2024 16:58:16 +0000 Subject: [PATCH 18/44] Update How_to_use_moderation.ipynb (#1097) --- examples/How_to_use_moderation.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/How_to_use_moderation.ipynb b/examples/How_to_use_moderation.ipynb index 13373d9..39b8d26 100644 --- a/examples/How_to_use_moderation.ipynb +++ b/examples/How_to_use_moderation.ipynb @@ -201,7 +201,7 @@ "metadata": {}, "source": [ "#### Setting moderation thresholds\n", - "Our output moderation will assess the LLM's response and block anything scoring a 0.4 or higher in any category. Setting this threshold is a common area for optimization - we recommend building an evaluation set and grading the results using a confusion matrix to set the right tolerance for your moderation. The trade-off here is generally:\n", + "OpenAI has selected thresholds for moderation categories that balance precision and recall for our use cases, but your use case or tolerance for moderation may be different. Setting this threshold is a common area for optimization - we recommend building an evaluation set and grading the results using a confusion matrix to set the right tolerance for your moderation. The trade-off here is generally:\n", "\n", "- More false positives leads to a fractured user experience, where customers get annoyed and the assistant seems less helpful.\n", "- More false negatives can cause lasting harm to your business, as people get the assistant to answer inappropriate questions, or provide inappropriate responses.\n", From 63336788349e400fdbcf08c66e98b1e5b5209736 Mon Sep 17 00:00:00 2001 From: Shyamal H Anadkat Date: Mon, 25 Mar 2024 15:50:00 -0700 Subject: [PATCH 19/44] WIP: Evals starter (#1107) Co-authored-by: royziv11 <103690170+royziv11@users.noreply.github.com> Co-authored-by: Roy Ziv --- authors.yaml | 7 +- .../Getting_Started_with_OpenAI_Evals.ipynb | 981 ++++++++++++++++++ registry.yaml | 9 + 3 files changed, 996 insertions(+), 1 deletion(-) create mode 100644 examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb diff --git a/authors.yaml b/authors.yaml index 0a033f7..f18180a 100644 --- a/authors.yaml +++ b/authors.yaml @@ -81,4 +81,9 @@ katiagg: jbeutler-openai: name: "Joe Beutler" website: "https://joebeutler.com" - avatar: "https://avatars.githubusercontent.com/u/156261485?v=4" \ No newline at end of file + avatar: "https://avatars.githubusercontent.com/u/156261485?v=4" + +royziv11: + name: "Roy Ziv" + website: "https://www.linkedin.com/in/roy-ziv-a46001149/" + avatar: "https://media.licdn.com/dms/image/D5603AQHkaEOOGZWtbA/profile-displayphoto-shrink_400_400/0/1699500606122?e=1716422400&v=beta&t=wKEIx-vTEqm9wnqoC7-xr1WqJjghvcjjlMt034hXY_4" \ No newline at end of file diff --git a/examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb b/examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb new file mode 100644 index 0000000..7cedfea --- /dev/null +++ b/examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb @@ -0,0 +1,981 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "# Getting Started with OpenAI Evals" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "The [OpenAI Evals](https://github.com/openai/evals/tree/main) framework consists of\n", + "1. A framework to evaluate an LLM (large language model) or a system built on top of an LLM.\n", + "2. An open-source registry of challenging evals\n", + "\n", + "This notebook will cover:\n", + "* Introduction to Evaluation and the [OpenAI Evals](https://github.com/openai/evals/tree/main) library\n", + "* Building an Eval\n", + "* Running an Eval\n", + "\n", + "#### What are evaluations/ `evals`?\n", + "\n", + "Evaluation is the process of validating and testing the outputs that your LLM applications are producing. Having strong evaluations (\"evals\") will mean a more stable, reliable application that is resilient to code and model changes. An eval is a task used to measure the quality of the output of an LLM or LLM system. Given an input prompt, an output is generated. We evaluate this output with a set of ideal answers and find the quality of the LLM system.\n", + "\n", + "#### Importance of Evaluations\n", + "\n", + "If you are building with foundational models like `GPT-4`, creating high quality evals is one of the most impactful things you can do. Developing AI solutions involves an iterative design process. [Without evals, it can be very difficult and time intensive to understand](https://youtu.be/XGJNo8TpuVA?feature=shared&t=1089) how different model versions and prompts might affect your use case.\n", + "\n", + "With OpenAI’s [continuous model upgrades](https://platform.openai.com/docs/models/continuous-model-upgrades), evals allow you to efficiently test model performance for your use cases in a standardized way. Developing a suite of evals customized to your objectives will help you quickly and effectively understand how new models may perform for your use cases. You can also make evals a part of your CI/CD pipeline to make sure you achieve the desired accuracy before deploying.\n", + "\n", + "#### Types of evals\n", + "\n", + "There are two main ways we can evaluate/grade completions: writing some validation logic in code\n", + "or using the model itself to inspect the answer. We’ll introduce each with some examples.\n", + "\n", + "**Writing logic for answer checking**\n", + "\n", + "The simplest and most common type of eval has an input and an ideal response or answer. For example,\n", + "we can have an eval sample where the input is \"What year was Obama elected president for the first\n", + "time?\" and the ideal answer is \"2008\". We feed the input to a model and get the completion. If the model\n", + "says \"2008\", it is then graded as correct. We can write a string match to check if the completion includes the phrase \"2008\". If it does, we consider it correct.\n", + "\n", + "Consider another eval where the input is to generate valid JSON: We can write some code that\n", + "attempts to parse the completion as JSON and then considers the completion correct if it is\n", + "parsable.\n", + "\n", + "**Model grading: A two stage process where the model first answers the question, then we ask a\n", + "model to look at the response to check if it’s correct.**\n", + "\n", + "Consider an input that asks the model to write a funny joke. The model then generates a\n", + "completion. We then create a new input to the model to answer the question: \"Is this following\n", + "joke funny? First reason step by step, then answer yes or no\" that includes the completion.\" We\n", + "finally consider the original completion correct if the new model completion ends with \"yes\".\n", + "\n", + "Model grading works best with the latest, most powerful models like `GPT-4` and if we give them the ability\n", + "to reason before making a judgment. Model grading will have an error rate, so it is important to validate\n", + "the performance with human evaluation before running the evals at scale. For best results, it makes\n", + "sense to use a different model to do grading from the one that did the completion, like using `GPT-4` to\n", + "grade `GPT-3.5` answers.\n", + "\n", + "#### OpenAI Eval Templates\n", + "\n", + "In using evals, we have discovered several \"templates\" that accommodate many different benchmarks. We have implemented these templates in the OpenAI Evals library to simplify the development of new evals. For example, we have defined 2 types of eval templates that can be used out of the box:\n", + "\n", + "* **Basic Eval Templates**: These contain deterministic functions to compare the output to the ideal_answers. In cases where the desired model response has very little variation, such as answering multiple choice questions or simple questions with a straightforward answer, we have found this following templates to be useful.\n", + "\n", + "* **Model-Graded Templates**: These contain functions where an LLM compares the output to the ideal_answers and attempts to judge the accuracy. In cases where the desired model response can contain significant variation, such as answering an open-ended question, we have found that using the model to grade itself is a viable strategy for automated evaluation.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Getting Setup\n", + "\n", + "First, go to [github.com/openai/evals](https://github.com/openai/evals), clone the repository with `git clone git@github.com:openai/evals.git` and go through the [setup instructions](https://github.com/openai/evals). \n", + "\n", + "To run evals later in this notebook, you will need to set up and specify your OpenAI API key. After you obtain an API key, specify it using the `OPENAI_API_KEY` environment variable. \n", + "\n", + "Please be aware of the costs associated with using the API when running evals." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from openai import OpenAI\n", + "import pandas as pd\n", + "import os\n", + "import json\n", + "\n", + "client = OpenAI()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "## Building an evaluation for OpenAI Evals framework\n", + "\n", + "At its core, an eval is a dataset and an eval class that is defined in a YAML file. To start creating an eval, we need\n", + "\n", + "1. The test dataset in the `jsonl` format.\n", + "2. The eval template to be used\n", + "\n", + "### Creating the eval dataset\n", + "Lets create a dataset for a use case where we are evaluating the model's ability to generate syntactically correct SQL. In this use case, we have a series of tables that are related to car manufacturing\n", + "\n", + "First we will need to create a system prompt that we would like to evaluate. We will pass in instructions for the model as well as an overview of the table structure:\n", + "```\n", + "\"TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]\"\n", + "```\n", + "\n", + "For this prompt, we can ask a specific question:\n", + "```\n", + "\"Q: how many car makers are their in germany?\"\n", + "```\n", + "\n", + "And we have an expected answer:\n", + "```\n", + "\"A: SELECT count ( * ) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId WHERE T2.CountryName = 'germany'\"\n", + "```\n", + "\n", + "The dataset needs to be in the following format:\n", + "```\n", + "\"input\": [{\"role\": \"system\", \"content\": \"\"}, {\"role\": \"user\", \"content\": }, \"ideal\": \"correct answer\"]\n", + "```\n", + "\n", + "Putting it all together, we get:\n", + "```\n", + "{\"input\": [{\"role\": \"system\", \"content\": \"TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]\\n\"}, {\"role\": \"system\", \"content\": \"Q: how many car makers are their in germany\"}, \"ideal\": [\"A: SELECT count ( * ) FROM CAR_MAKERS AS T1 JOIN COUNTRIES AS T2 ON T1.Country = T2.CountryId WHERE T2.CountryName = 'germany'\"]}\n", + "```\n", + "\n", + "\n", + "One way to speed up the process of building eval datasets, is to use `GPT-4` to generate synthetic data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2024-03-18T07:23:04.862331Z", + "start_time": "2024-03-18T07:23:04.717601Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Q: What is the average horsepower for cars made by makers in Europe?\n", + "A: SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", + "\n", + "Q: What is the average weight of cars produced by makers from the continent of Europe?\n", + "A: SELECT AVG(cars_data.Weight) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", + "\n", + "Q: What is the average MPG for cars made in countries in the continent of Europe?\n", + "A: SELECT AVG(cars_data.MPG) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN car_makers ON car_names.MakeId = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", + "\n", + "Q: What is the average horsepower for cars made by a maker from Europe?\n", + "\n", + "A: SELECT AVG(cars_data.Horsepower) AS AverageHorsepower FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", + "\n", + "Q: What is the average horsepower for cars made by makers in the continent of Europe?\n", + "A: SELECT avg(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", + "\n" + ] + } + ], + "source": [ + "## Use GPT-4 to generate synthetic data\n", + "# Define the system prompt and user input (these should be filled as per the specific use case)\n", + "system_prompt = \"\"\"You are a helpful assistant that can ask questions about a database table and write SQL queries to answer the question.\n", + " A user will pass in a table schema and your job is to return a question answer pairing. The question should relevant to the schema of the table,\n", + " and you can speculate on its contents. You will then have to generate a SQL query to answer the question. Below are some examples of what this should look like.\n", + "\n", + " Example 1\n", + " ```````````\n", + " User input: Table museum, columns = [*,Museum_ID,Name,Num_of_Staff,Open_Year]\\nTable visit, columns = [*,Museum_ID,visitor_ID,Num_of_Ticket,Total_spent]\\nTable visitor, columns = [*,ID,Name,Level_of_membership,Age]\\nForeign_keys = [visit.visitor_ID = visitor.ID,visit.Museum_ID = museum.Museum_ID]\\n\n", + " Assistant Response:\n", + " Q: How many visitors have visited the museum with the most staff?\n", + " A: SELECT count ( * ) FROM VISIT AS T1 JOIN MUSEUM AS T2 ON T1.Museum_ID = T2.Museum_ID WHERE T2.Num_of_Staff = ( SELECT max ( Num_of_Staff ) FROM MUSEUM ) \n", + " ```````````\n", + "\n", + " Example 2\n", + " ```````````\n", + " User input: Table museum, columns = [*,Museum_ID,Name,Num_of_Staff,Open_Year]\\nTable visit, columns = [*,Museum_ID,visitor_ID,Num_of_Ticket,Total_spent]\\nTable visitor, columns = [*,ID,Name,Level_of_membership,Age]\\nForeign_keys = [visit.visitor_ID = visitor.ID,visit.Museum_ID = museum.Museum_ID]\\n\n", + " Assistant Response:\n", + " Q: What are the names who have a membership level higher than 4?\n", + " A: SELECT Name FROM VISITOR AS T1 WHERE T1.Level_of_membership > 4 \n", + " ```````````\n", + "\n", + " Example 3\n", + " ```````````\n", + " User input: Table museum, columns = [*,Museum_ID,Name,Num_of_Staff,Open_Year]\\nTable visit, columns = [*,Museum_ID,visitor_ID,Num_of_Ticket,Total_spent]\\nTable visitor, columns = [*,ID,Name,Level_of_membership,Age]\\nForeign_keys = [visit.visitor_ID = visitor.ID,visit.Museum_ID = museum.Museum_ID]\\n\n", + " Assistant Response:\n", + " Q: How many tickets of customer id 5?\n", + " A: SELECT count ( * ) FROM VISIT AS T1 JOIN VISITOR AS T2 ON T1.visitor_ID = T2.ID WHERE T2.ID = 5 \n", + " ```````````\n", + " \"\"\"\n", + "\n", + "user_input = \"Table car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]\"\n", + "\n", + "messages = [{\n", + " \"role\": \"system\",\n", + " \"content\": system_prompt\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": user_input\n", + " }\n", + "]\n", + "\n", + "completion = client.chat.completions.create(\n", + " model=\"gpt-4-turbo-preview\",\n", + " messages=messages,\n", + " temperature=0.7,\n", + " n=5\n", + ")\n", + "\n", + "for choice in completion.choices:\n", + " print(choice.message.content + \"\\n\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once we have the synthetic data, we need to convert it to match the format of the eval dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average horsepower for cars made by makers in Europe?'}], 'ideal': \"SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n", + "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average weight of cars produced by makers from the continent of Europe?'}], 'ideal': \"SELECT AVG(cars_data.Weight) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n", + "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average MPG for cars made in countries in the continent of Europe?'}], 'ideal': \"SELECT AVG(cars_data.MPG) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN car_makers ON car_names.MakeId = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n", + "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average horsepower for cars made by a maker from Europe?'}], 'ideal': \"SELECT AVG(cars_data.Horsepower) AS AverageHorsepower FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n", + "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average horsepower for cars made by makers in the continent of Europe?'}], 'ideal': \"SELECT avg(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n" + ] + } + ], + "source": [ + "eval_data = []\n", + "input_prompt = \"TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]\"\n", + "\n", + "for choice in completion.choices:\n", + " question = choice.message.content.split(\"Q: \")[1].split(\"\\n\")[0] # Extracting the question\n", + " answer = choice.message.content.split(\"\\nA: \")[1].split(\"\\n\")[0] # Extracting the answer\n", + " eval_data.append({\n", + " \"input\": [\n", + " {\"role\": \"system\", \"content\": input_prompt},\n", + " {\"role\": \"user\", \"content\": question},\n", + " ],\n", + " \"ideal\": answer\n", + " })\n", + "\n", + "for item in eval_data:\n", + " print(item)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next we need to create the eval registry to run it in the framework.\n", + "\n", + "The evals framework requires a `.yaml` file structured with the following properties:\n", + "* `id` - An identifier for your eval\n", + "* `description` - A short description of your eval\n", + "* `disclaimer` - An additional notes about your eval\n", + "* `metrics` - There are three types of eval metrics we can choose from: match, includes, fuzzyMatch\n", + "\n", + "For our eval, we will configure the following:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2024-03-18T07:23:04.716044Z", + "start_time": "2024-03-18T07:23:04.708437Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\nspider-sql:\\n id: spider-sql.dev.v0\\n metrics: [accuracy]\\n description: Eval that scores SQL code from 194 examples in the Spider Text-to-SQL test dataset. The problems are selected by taking the first 10 problems for each database that appears in the test set.\\n Yu, Tao, et al. \"Spider; A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.\" Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018, https://doi.org/10.18653/v1/d18-1425.\\n disclaimer: Problems are solved zero-shot with no prompting other than the schema; performance may improve with training examples, fine tuning, or a different schema format. Evaluation is currently done through model-grading, where SQL code is not actually executed; the model may judge correct SQL to be incorrect, or vice-versa.\\n\\n '" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"\"\"\n", + "spider-sql:\n", + " id: spider-sql.dev.v0\n", + " metrics: [accuracy]\n", + " description: Eval that scores SQL code from 194 examples in the Spider Text-to-SQL test dataset. The problems are selected by taking the first 10 problems for each database that appears in the test set.\n", + " Yu, Tao, et al. \\\"Spider; A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.\\\" Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018, https://doi.org/10.18653/v1/d18-1425.\n", + " disclaimer: Problems are solved zero-shot with no prompting other than the schema; performance may improve with training examples, fine tuning, or a different schema format. Evaluation is currently done through model-grading, where SQL code is not actually executed; the model may judge correct SQL to be incorrect, or vice-versa.\n", + "\n", + " \"\"\"\"\"" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "source": [ + "## Running an evaluation\n", + "\n", + "We can run this eval using the `oaieval` CLI. To get setup, install the library: `pip install .` (if you are running the [OpenAI Evals library](github.com/openai/evals) locally) or `pip install oaieval` if you are running an existing eval.\n", + "\n", + "Then, run the eval using the CLI: `oaieval gpt-3.5-turbo spider-sql`\n", + "\n", + "This command expects a model name and an eval set name. Note that we provide two command line interfaces (CLIs): `oaieval` for running a single eval and `oaievalset` for running a set of evals. The valid eval names are specified in the YAML files under `evals/registry/evals` and their corresponding implementations can be found in `evals/elsuite`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2024-03-18T07:29:03.774758Z", + "start_time": "2024-03-18T07:26:29.321664Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [], + "source": [ + "# !pip install evals" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `oaieval` CLI can accept various flags to modify the default behavior. You can run `oaieval --help` to see a full list of CLI options. \n", + "\n", + "After running that command, you’ll see the final report of accuracy printed to the console, as well as a file path to a temporary file that contains the full report." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These CLIs can accept various flags to modify their default behavior. You can run `oaieval --help` to see a full list of CLI options. \n", + "\n", + "After running that command, you’ll see the final report of accuracy printed to the console, as well as a file path to a temporary file that contains the full report." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2024-03-18T07:31:42.602736Z", + "start_time": "2024-03-18T07:29:03.776339Z" + }, + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2024-03-25 13:23:36,497] [registry.py:257] Loading registry from /Users/roy/Documents/Github/openai-cookbook/.venv/lib/python3.9/site-packages/evals/registry/evals\n", + "[2024-03-25 13:23:38,131] [registry.py:257] Loading registry from /Users/roy/.evals/evals\n", + "[2024-03-25 13:23:38,133] [oaieval.py:189] \u001b[1;35mRun started: 2403252023385ZVJZ3UF\u001b[0m\n", + "[2024-03-25 13:23:38,143] [registry.py:257] Loading registry from /Users/roy/Documents/Github/openai-cookbook/.venv/lib/python3.9/site-packages/evals/registry/modelgraded\n", + "[2024-03-25 13:23:38,217] [registry.py:257] Loading registry from /Users/roy/.evals/modelgraded\n", + "[2024-03-25 13:23:38,218] [data.py:90] Fetching /Users/roy/Documents/Github/openai-cookbook/.venv/lib/python3.9/site-packages/evals/registry/data/sql/spider_sql.jsonl\n", + "[2024-03-25 13:23:38,224] [eval.py:36] Evaluating 20 samples\n", + "[2024-03-25 13:23:38,282] [eval.py:144] Running in threaded mode with 10 threads!\n", + " 0%| | 0/20 [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    specfinal_reportrun_idevent_idsample_idtypedatacreated_bycreated_at
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    4NaNNaN2403252023385ZVJZ3UF2.0spider-sql.dev.88sampling{'prompt': [{'content': 'Answer the following ...2024-03-25 20:23:38.841729+00:00
    \n", + "" + ], + "text/plain": [ + " spec \\\n", + "0 {'completion_fns': ['gpt-3.5-turbo'], 'eval_na... \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "\n", + " final_report run_id \\\n", + "0 NaN NaN \n", + "1 {'counts/Correct': 17, 'counts/Incorrect': 3, ... NaN \n", + "2 NaN 2403252023385ZVJZ3UF \n", + "3 NaN 2403252023385ZVJZ3UF \n", + "4 NaN 2403252023385ZVJZ3UF \n", + "\n", + " event_id sample_id type \\\n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 0.0 spider-sql.dev.117 sampling \n", + "3 1.0 spider-sql.dev.72 sampling \n", + "4 2.0 spider-sql.dev.88 sampling \n", + "\n", + " data created_by \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 {'prompt': [{'content': 'Answer the following ... \n", + "3 {'prompt': [{'content': 'Answer the following ... \n", + "4 {'prompt': [{'content': 'Answer the following ... \n", + "\n", + " created_at \n", + "0 NaT \n", + "1 NaT \n", + "2 2024-03-25 20:23:38.803226+00:00 \n", + "3 2024-03-25 20:23:38.840276+00:00 \n", + "4 2024-03-25 20:23:38.841729+00:00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "log_name = '2403252023385ZVJZ3UF_gpt-3.5-turbo_spider-sql.jsonl' # \"EDIT THIS\" - copy from above\n", + "events = f\"/tmp/evallogs/{log_name}\"\n", + "display(pd.read_json(events, lines=True).head(5))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [], + "source": [ + "# processing the log events generated by oaieval\n", + "\n", + "with open(events, \"r\") as f:\n", + " events_df = pd.read_json(f, lines=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This file will contain structured logs of the evaluation. The first entry provides a detailed specification of the evaluation, including the completion functions, evaluation name, run configuration, creator’s name, run ID, and creation timestamp." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'completion_fns': ['gpt-3.5-turbo'],\n", + " 'eval_name': 'spider-sql.dev.v0',\n", + " 'base_eval': 'spider-sql',\n", + " 'split': 'dev',\n", + " 'run_config': {'completion_fns': ['gpt-3.5-turbo'],\n", + " 'eval_spec': {'cls': 'evals.elsuite.modelgraded.classify:ModelBasedClassify',\n", + " 'registry_path': '/Users/roy/Documents/Github/openai-cookbook/.venv/lib/python3.9/site-packages/evals/registry',\n", + " 'args': {'samples_jsonl': 'sql/spider_sql.jsonl',\n", + " 'eval_type': 'cot_classify',\n", + " 'modelgraded_spec': 'sql'},\n", + " 'key': 'spider-sql.dev.v0',\n", + " 'group': 'sql'},\n", + " 'seed': 20220722,\n", + " 'max_samples': 20,\n", + " 'command': '/Users/roy/Documents/Github/openai-cookbook/.venv/bin/oaieval gpt-3.5-turbo spider-sql --max_samples 20',\n", + " 'initial_settings': {'visible': False}},\n", + " 'created_by': '',\n", + " 'run_id': '2403252023385ZVJZ3UF',\n", + " 'created_at': '2024-03-25 20:23:38.132021'}" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(events_df.iloc[0].spec)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's also look at the entry which provides the final report of the evaluation." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'counts/Correct': 17, 'counts/Incorrect': 3, 'score': 0.85}" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(events_df.dropna(subset=['final_report']).iloc[0]['final_report'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also review individual evaluation events that provide specific samples (`sample_id`), results, event types, and metadata." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "run_id 2403252023385ZVJZ3UF\n", + "event_id 0.0\n", + "sample_id spider-sql.dev.117\n", + "type sampling\n", + "data {'prompt': [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\n", + "Use only the following tables and columns:\n", + "Table: TV_Channel. Columns: id (text), series_name (text), Country (text), Language (text), Content (text), Pixel_aspect_ratio_PAR (text), Hight_definition_TV (text), Pay_per_view_PPV (text), Package_Option (text)\n", + "Table: TV_series. Columns: id (number), Episode (text), Air_Date (text), Rating (text), Share (number), 18_49_Rating_Share (text), Viewers_m (text), Weekly_Rank (number), Channel (text)\n", + "Table: Cartoon. Columns: id (number), Title (text), Directed_by (text), Written_by (text), Original_air_date (text), Production_code (number), Channel (text)\n", + "\n", + "Question: What is the name and directors of all the cartoons that are ordered by air date?\n", + "', 'role': 'system'}], 'sampled': ['SELECT Title, Directed_by\n", + "FROM Cartoon\n", + "ORDER BY Original_air_date;']}\n", + "created_at 2024-03-25 20:23:38.803226+00:00\n", + "Name: 2, dtype: object" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pd.set_option('display.max_colwidth', None) # None means no truncation\n", + "display(events_df.iloc[2][['run_id', 'event_id', 'sample_id', 'type', 'data', 'created_at']])" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: TV_Channel. Columns: id (text), series_name (text), Country (text), Language (text), Content (text), Pixel_aspect_ratio_PAR (text), Hight_definition_TV (text), Pay_per_view_PPV (text), Package_Option (text)\\nTable: TV_series. Columns: id (number), Episode (text), Air_Date (text), Rating (text), Share (number), 18_49_Rating_Share (text), Viewers_m (text), Weekly_Rank (number), Channel (text)\\nTable: Cartoon. Columns: id (number), Title (text), Directed_by (text), Written_by (text), Original_air_date (text), Production_code (number), Channel (text)\\n\\nQuestion: What is the name and directors of all the cartoons that are ordered by air date?\\n', 'role': 'system'}]\n", + "Sampled: ['SELECT Title, Directed_by\\nFROM Cartoon\\nORDER BY Original_air_date;']\n", + "----------\n", + "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: museum. Columns: Museum_ID (number), Name (text), Num_of_Staff (number), Open_Year (text)\\nTable: visitor. Columns: ID (number), Name (text), Level_of_membership (number), Age (number)\\nTable: visit. Columns: Museum_ID (number), visitor_ID (text), Num_of_Ticket (number), Total_spent (number)\\n\\nQuestion: What is the average age of the visitors whose membership level is not higher than 4?\\n', 'role': 'system'}]\n", + "Sampled: ['SELECT AVG(Age) \\nFROM visitor \\nWHERE Level_of_membership <= 4;']\n", + "----------\n", + "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: players. Columns: player_id (number), first_name (text), last_name (text), hand (text), birth_date (time), country_code (text)\\nTable: matches. Columns: best_of (number), draw_size (number), loser_age (number), loser_entry (text), loser_hand (text), loser_ht (number), loser_id (number), loser_ioc (text), loser_name (text), loser_rank (number), loser_rank_points (number), loser_seed (number), match_num (number), minutes (number), round (text), score (text), surface (text), tourney_date (time), tourney_id (text), tourney_level (text), tourney_name (text), winner_age (number), winner_entry (text), winner_hand (text), winner_ht (number), winner_id (number), winner_ioc (text), winner_name (text), winner_rank (number), winner_rank_points (number), winner_seed (number), year (number)\\nTable: rankings. Columns: ranking_date (time), ranking (number), player_id (number), ranking_points (number), tours (number)\\n\\nQuestion: Find the average rank of winners in all matches.\\n', 'role': 'system'}]\n", + "Sampled: ['SELECT AVG(winner_rank) AS average_winner_rank\\nFROM matches;']\n", + "----------\n", + "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: continents. Columns: ContId (number), Continent (text)\\nTable: countries. Columns: CountryId (number), CountryName (text), Continent (number)\\nTable: car_makers. Columns: Id (number), Maker (text), FullName (text), Country (text)\\nTable: model_list. Columns: ModelId (number), Maker (number), Model (text)\\nTable: car_names. Columns: MakeId (number), Model (text), Make (text)\\nTable: cars_data. Columns: Id (number), MPG (text), Cylinders (number), Edispl (number), Horsepower (text), Weight (number), Accelerate (number), Year (number)\\n\\nQuestion: How many countries exist?\\n', 'role': 'system'}]\n", + "Sampled: ['```sql\\nSELECT COUNT(*) AS TotalCountries\\nFROM countries;\\n```']\n", + "----------\n", + "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: city. Columns: ID (number), Name (text), CountryCode (text), District (text), Population (number)\\nTable: sqlite_sequence. Columns: name (text), seq (text)\\nTable: country. Columns: Code (text), Name (text), Continent (text), Region (text), SurfaceArea (number), IndepYear (number), Population (number), LifeExpectancy (number), GNP (number), GNPOld (number), LocalName (text), GovernmentForm (text), HeadOfState (text), Capital (number), Code2 (text)\\nTable: countrylanguage. Columns: CountryCode (text), Language (text), IsOfficial (text), Percentage (number)\\n\\nQuestion: How many countries have a republic as their form of government?\\n', 'role': 'system'}]\n", + "Sampled: [\"```sql\\nSELECT COUNT(*) \\nFROM country \\nWHERE GovernmentForm = 'Republic';\\n```\"]\n", + "----------\n" + ] + } + ], + "source": [ + "# Inspect samples\n", + "for i, row in events_df[events_df['type'] == 'sampling'].head(5).iterrows():\n", + " data = pd.json_normalize(row['data'])\n", + " print(f\"Prompt: {data['prompt'].iloc[0]}\")\n", + " print(f\"Sampled: {data['sampled'].iloc[0]}\")\n", + " print(\"-\" * 10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's review our failures to understand which tests did not succeed." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "def pretty_print_text(prompt):\n", + " # Define markers for the start of each section\n", + " question_marker = \"[Question]:\"\n", + " expert_marker = \"[Expert]:\"\n", + " submission_marker = \"[Submission]:\"\n", + "\n", + " # Find the start indices of each section\n", + " question_start = prompt.find(question_marker) + len(question_marker)\n", + " expert_start = prompt.find(expert_marker) + len(expert_marker)\n", + " submission_start = prompt.find(submission_marker) + len(submission_marker)\n", + "\n", + " # Find the end index for the question and expert sections by looking for the next section's start\n", + " question_end = prompt.find(expert_marker)\n", + " expert_end = prompt.find(submission_marker)\n", + " submission_end = prompt.find('[END DATA]')\n", + "\n", + " # Extract the text for each section\n", + " question_text = prompt[question_start:question_end].strip()\n", + " expert_answer_text = prompt[expert_start:expert_end].strip()\n", + " submission_text = prompt[submission_start:submission_end].strip().replace(\"```sql\", \"\").replace(\"```\", \"\").strip()\n", + "\n", + " # Remove table definitions from the question text\n", + " question_text = question_text.split(\"\\n\\nQuestion:\")[1].strip() if \"\\n\\nQuestion:\" in question_text else question_text\n", + "\n", + " # Define ANSI color codes for readability\n", + " color_question = '\\033[94m' # Blue\n", + " color_expert = '\\033[92m' # Green\n", + " color_submission = '\\033[93m' # Yellow\n", + " color_end = '\\033[0m' # Reset to default color\n", + "\n", + " # Print with section headers and colors\n", + " print(f\"{color_question}QUESTION:\\n{question_text}{color_end}\")\n", + " print(f\"{color_expert}EXPECTED:\\n{expert_answer_text}{color_end}\")\n", + " print(f\"{color_submission}SUBMISSION:\\n{submission_text}{color_end}\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[94mQUESTION:\n", + "Return the document id, template id, and description for the document with the name Robbin CV.\n", + "\n", + "************\u001b[0m\n", + "\u001b[92mEXPECTED:\n", + "SELECT document_id , template_id , Document_Description FROM Documents WHERE document_name = \"Robbin CV\"\n", + "************\u001b[0m\n", + "\u001b[93mSUBMISSION:\n", + "SELECT Documents.Document_ID, Documents.Template_ID, Documents.Document_Description\n", + "FROM Documents\n", + "JOIN Templates ON Documents.Template_ID = Templates.Template_ID\n", + "WHERE Documents.Document_Name = 'Robbin CV';\n", + "\n", + "************\u001b[0m\n", + "----------------------------------------\n", + "\u001b[94mQUESTION:\n", + "What country is Jetblue Airways affiliated with?\n", + "\n", + "************\u001b[0m\n", + "\u001b[92mEXPECTED:\n", + "SELECT Country FROM AIRLINES WHERE Airline = \"JetBlue Airways\"\n", + "************\u001b[0m\n", + "\u001b[93mSUBMISSION:\n", + "SELECT Country\n", + "FROM airlines\n", + "WHERE Airline = 'Jetblue Airways';\n", + "************\u001b[0m\n", + "----------------------------------------\n", + "\u001b[94mQUESTION:\n", + "Find the maximum weight for each type of pet. List the maximum weight and pet type.\n", + "\n", + "************\u001b[0m\n", + "\u001b[92mEXPECTED:\n", + "SELECT max(weight) , petType FROM pets GROUP BY petType\n", + "************\u001b[0m\n", + "\u001b[93mSUBMISSION:\n", + "SELECT PetType, MAX(weight) AS max_weight\n", + "FROM Pets\n", + "GROUP BY PetType;\n", + "\n", + "************\u001b[0m\n", + "----------------------------------------\n" + ] + } + ], + "source": [ + "# Inspect metrics where choice is made and print only the prompt, result, and expected result if the choice is incorrect\n", + "for i, row in events_df[events_df['type'] == 'metrics'].iterrows():\n", + " if row['data']['choice'] == 'Incorrect':\n", + " # Get the previous row's data, which contains the prompt and the expected result\n", + " prev_row = events_df.iloc[i-1]\n", + " prompt = prev_row['data']['prompt'][0]['content'] if 'prompt' in prev_row['data'] and len(prev_row['data']['prompt']) > 0 else \"Prompt not available\"\n", + " expected_result = prev_row['data'].get('ideal', 'Expected result not provided')\n", + " \n", + " # Current row's data will be the actual result\n", + " result = row['data'].get('result', 'Actual result not provided')\n", + " \n", + " pretty_print_text(prompt)\n", + " print(\"-\" * 40)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Reviewing each of these failures we see the following:\n", + "* The first incorrect answer had an unnecessary join with the 'Templates' table. Our eval was able to accurately identify this and flag this as incorrect. \n", + "* The following two answers are technically correct and would succeeed if we compared the results, however they have minor syntax differences that caused the answers to get flagged.\n", + " * In situations like this, it would be worthwhile exploring whether we should continue iterating on the prompt to ensure certain stylistic choices, or if we should modify the evaluation suite to capture this variation.\n", + " * This type of failure hints at the potential need for model-graded evals as a way to ensure accuracy in grading the results" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Conclusion" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Building out effective evals is a core part of the development cycle of LLM-based applications. The OpenAI Evals framework provides the core structure of building evals out of the box, and allows you to quickly spin up new tests for your various use cases. In this guide, we demonstrated step-by-step how to create an eval, run it, and analyze the results.\n", + "\n", + "The example shown in this guide represent a straightfoward use case for evals. As you continue to explore this framework, we recommend you explore creating more complex model-graded evals for actual production use cases. Happy evaluating!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/registry.yaml b/registry.yaml index ed70832..d1f8fa0 100644 --- a/registry.yaml +++ b/registry.yaml @@ -475,6 +475,15 @@ - embeddings - completions +- title: Getting Started with OpenAI Evals + path: examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb + date: 2024-03-21 + authors: + - royziv11 + - shyamal-anadkat + tags: + - completions + - title: Fine-Tuned Q&A - collect data path: examples/fine-tuned_qa/olympics-1-collect-data.ipynb date: 2022-03-10 From 27f7f361b9dc8a836357b3df6380989e758b1887 Mon Sep 17 00:00:00 2001 From: Shyamal H Anadkat Date: Wed, 27 Mar 2024 10:12:57 -0700 Subject: [PATCH 20/44] fixed styling (#1119) --- .gitignore | 3 + .../Getting_Started_with_OpenAI_Evals.ipynb | 746 ++++++++++++------ 2 files changed, 514 insertions(+), 235 deletions(-) diff --git a/.gitignore b/.gitignore index fe12aae..0f2a458 100644 --- a/.gitignore +++ b/.gitignore @@ -137,3 +137,6 @@ dmypy.json *.DS_Store tmp_* examples/fine-tuned_qa/local_cache/* + +# PyCharm files +.idea/ \ No newline at end of file diff --git a/examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb b/examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb index 7cedfea..b610647 100644 --- a/examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb +++ b/examples/evaluation/Getting_Started_with_OpenAI_Evals.ipynb @@ -95,13 +95,16 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2024-03-27T02:24:59.629Z", + "start_time": "2024-03-27T02:24:50.505893Z" + } + }, "outputs": [], "source": [ "from openai import OpenAI\n", "import pandas as pd\n", - "import os\n", - "import json\n", "\n", "client = OpenAI()" ] @@ -172,21 +175,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "Q: What is the average horsepower for cars made by makers in Europe?\n", + "Q: What is the average horsepower for cars made in Europe?\n", "A: SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", "\n", - "Q: What is the average weight of cars produced by makers from the continent of Europe?\n", - "A: SELECT AVG(cars_data.Weight) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", + "Q: What is the average horsepower for cars made in the USA?\n", + "A: SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN car_makers ON car_names.MakeId = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId WHERE countries.CountryName = 'USA'\n", "\n", - "Q: What is the average MPG for cars made in countries in the continent of Europe?\n", - "A: SELECT AVG(cars_data.MPG) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN car_makers ON car_names.MakeId = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", + "Q: What is the average horsepower for cars produced in countries from the continent with the id '3'?\n", + "A: SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.ContId = '3'\n", "\n", - "Q: What is the average horsepower for cars made by a maker from Europe?\n", + "Q: What is the average horsepower for cars made by makers from Europe?\n", + "A: SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", "\n", - "A: SELECT AVG(cars_data.Horsepower) AS AverageHorsepower FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", + "Q: What is the average horsepower for cars made in the USA?\n", "\n", - "Q: What is the average horsepower for cars made by makers in the continent of Europe?\n", - "A: SELECT avg(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\n", + "A: SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN car_makers ON car_names.MakeId = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId WHERE countries.CountryName = 'USA'\n", "\n" ] } @@ -262,11 +265,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average horsepower for cars made by makers in Europe?'}], 'ideal': \"SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n", - "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average weight of cars produced by makers from the continent of Europe?'}], 'ideal': \"SELECT AVG(cars_data.Weight) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n", - "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average MPG for cars made in countries in the continent of Europe?'}], 'ideal': \"SELECT AVG(cars_data.MPG) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN car_makers ON car_names.MakeId = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n", - "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average horsepower for cars made by a maker from Europe?'}], 'ideal': \"SELECT AVG(cars_data.Horsepower) AS AverageHorsepower FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n", - "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average horsepower for cars made by makers in the continent of Europe?'}], 'ideal': \"SELECT avg(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n" + "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average horsepower for cars made in Europe?'}], 'ideal': \"SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n", + "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average horsepower for cars made in the USA?'}], 'ideal': \"SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN car_makers ON car_names.MakeId = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId WHERE countries.CountryName = 'USA'\"}\n", + "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': \"What is the average horsepower for cars produced in countries from the continent with the id '3'?\"}], 'ideal': \"SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.ContId = '3'\"}\n", + "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average horsepower for cars made by makers from Europe?'}], 'ideal': \"SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN model_list ON car_names.Model = model_list.Model JOIN car_makers ON model_list.Maker = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId JOIN continents ON countries.Continent = continents.ContId WHERE continents.Continent = 'Europe'\"}\n", + "{'input': [{'role': 'system', 'content': 'TASK: Answer the following question with syntactically correct SQLite SQL. The SQL should be correct and be in context of the previous question-answer pairs.\\nTable car_makers, columns = [*,Id,Maker,FullName,Country]\\nTable car_names, columns = [*,MakeId,Model,Make]\\nTable cars_data, columns = [*,Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year]\\nTable continents, columns = [*,ContId,Continent]\\nTable countries, columns = [*,CountryId,CountryName,Continent]\\nTable model_list, columns = [*,ModelId,Maker,Model]\\nForeign_keys = [countries.Continent = continents.ContId,car_makers.Country = countries.CountryId,model_list.Maker = car_makers.Id,car_names.Model = model_list.Model,cars_data.Id = car_names.MakeId]'}, {'role': 'user', 'content': 'What is the average horsepower for cars made in the USA?'}], 'ideal': \"SELECT AVG(cars_data.Horsepower) FROM cars_data JOIN car_names ON cars_data.Id = car_names.MakeId JOIN car_makers ON car_names.MakeId = car_makers.Id JOIN countries ON car_makers.Country = countries.CountryId WHERE countries.CountryName = 'USA'\"}\n" ] } ], @@ -357,7 +360,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2024-03-18T07:29:03.774758Z", @@ -370,7 +373,7 @@ }, "outputs": [], "source": [ - "# !pip install evals" + "!pip install evals --quiet" ] }, { @@ -393,7 +396,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2024-03-18T07:31:42.602736Z", @@ -409,66 +412,76 @@ "name": "stdout", "output_type": "stream", "text": [ - "[2024-03-25 13:23:36,497] [registry.py:257] Loading registry from /Users/roy/Documents/Github/openai-cookbook/.venv/lib/python3.9/site-packages/evals/registry/evals\n", - "[2024-03-25 13:23:38,131] [registry.py:257] Loading registry from /Users/roy/.evals/evals\n", - "[2024-03-25 13:23:38,133] [oaieval.py:189] \u001b[1;35mRun started: 2403252023385ZVJZ3UF\u001b[0m\n", - "[2024-03-25 13:23:38,143] [registry.py:257] Loading registry from /Users/roy/Documents/Github/openai-cookbook/.venv/lib/python3.9/site-packages/evals/registry/modelgraded\n", - "[2024-03-25 13:23:38,217] [registry.py:257] Loading registry from /Users/roy/.evals/modelgraded\n", - "[2024-03-25 13:23:38,218] [data.py:90] Fetching /Users/roy/Documents/Github/openai-cookbook/.venv/lib/python3.9/site-packages/evals/registry/data/sql/spider_sql.jsonl\n", - "[2024-03-25 13:23:38,224] [eval.py:36] Evaluating 20 samples\n", - "[2024-03-25 13:23:38,282] [eval.py:144] Running in threaded mode with 10 threads!\n", - " 0%| | 0/20 [00:00\n", " \n", " 0\n", - " {'completion_fns': ['gpt-3.5-turbo'], 'eval_na...\n", + " {'completion_fns': ['gpt-3.5-turbo'], 'eval_name': 'spider-sql.dev.v0', 'base_eval': 'spider-sql', 'split': 'dev', 'run_config': {'completion_fns': ['gpt-3.5-turbo'], 'eval_spec': {'cls': 'evals.elsuite.modelgraded.classify:ModelBasedClassify', 'registry_path': '/Users/shyamal/.virtualenvs/openai/lib/python3.11/site-packages/evals/registry', 'args': {'samples_jsonl': 'sql/spider_sql.jsonl', 'eval_type': 'cot_classify', 'modelgraded_spec': 'sql'}, 'key': 'spider-sql.dev.v0', 'group': 'sql'}, 'seed': 20220722, 'max_samples': 25, 'command': '/Users/shyamal/.virtualenvs/openai/bin/oaieval gpt-3.5-turbo spider-sql --max_samples 25', 'initial_settings': {'visible': False}}, 'created_by': '', 'run_id': '240327024443FACXGMKA', 'created_at': '2024-03-27 02:44:43.626043'}\n", " NaN\n", " NaN\n", " NaN\n", @@ -549,7 +562,7 @@ " \n", " 1\n", " NaN\n", - " {'counts/Correct': 17, 'counts/Incorrect': 3, ...\n", + " {'counts/Correct': 20, 'counts/Incorrect': 5, 'score': 0.8}\n", " NaN\n", " NaN\n", " NaN\n", @@ -562,77 +575,131 @@ " 2\n", " NaN\n", " NaN\n", - " 2403252023385ZVJZ3UF\n", + " 240327024443FACXGMKA\n", " 0.0\n", - " spider-sql.dev.117\n", + " spider-sql.dev.88\n", " sampling\n", - " {'prompt': [{'content': 'Answer the following ...\n", + " {'prompt': [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\n", + "Use only the following tables and columns:\n", + "Table: players. Columns: player_id (number), first_name (text), last_name (text), hand (text), birth_date (time), country_code (text)\n", + "Table: matches. Columns: best_of (number), draw_size (number), loser_age (number), loser_entry (text), loser_hand (text), loser_ht (number), loser_id (number), loser_ioc (text), loser_name (text), loser_rank (number), loser_rank_points (number), loser_seed (number), match_num (number), minutes (number), round (text), score (text), surface (text), tourney_date (time), tourney_id (text), tourney_level (text), tourney_name (text), winner_age (number), winner_entry (text), winner_hand (text), winner_ht (number), winner_id (number), winner_ioc (text), winner_name (text), winner_rank (number), winner_rank_points (number), winner_seed (number), year (number)\n", + "Table: rankings. Columns: ranking_date (time), ranking (number), player_id (number), ranking_points (number), tours (number)\n", + "\n", + "Question: Find the average rank of winners in all matches.\n", + "', 'role': 'system'}], 'sampled': ['SELECT AVG(winner_rank) AS average_rank_of_winners\n", + "FROM matches;']}\n", " \n", - " 2024-03-25 20:23:38.803226+00:00\n", + " 2024-03-27 02:44:44.821110+00:00\n", " \n", " \n", " 3\n", " NaN\n", " NaN\n", - " 2403252023385ZVJZ3UF\n", + " 240327024443FACXGMKA\n", " 1.0\n", - " spider-sql.dev.72\n", + " spider-sql.dev.82\n", " sampling\n", - " {'prompt': [{'content': 'Answer the following ...\n", + " {'prompt': [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\n", + "Use only the following tables and columns:\n", + "Table: players. Columns: player_id (number), first_name (text), last_name (text), hand (text), birth_date (time), country_code (text)\n", + "Table: matches. Columns: best_of (number), draw_size (number), loser_age (number), loser_entry (text), loser_hand (text), loser_ht (number), loser_id (number), loser_ioc (text), loser_name (text), loser_rank (number), loser_rank_points (number), loser_seed (number), match_num (number), minutes (number), round (text), score (text), surface (text), tourney_date (time), tourney_id (text), tourney_level (text), tourney_name (text), winner_age (number), winner_entry (text), winner_hand (text), winner_ht (number), winner_id (number), winner_ioc (text), winner_name (text), winner_rank (number), winner_rank_points (number), winner_seed (number), year (number)\n", + "Table: rankings. Columns: ranking_date (time), ranking (number), player_id (number), ranking_points (number), tours (number)\n", + "\n", + "Question: Find the total number of matches.\n", + "', 'role': 'system'}], 'sampled': ['SELECT COUNT(*) AS total_matches\n", + "FROM matches;']}\n", " \n", - " 2024-03-25 20:23:38.840276+00:00\n", + " 2024-03-27 02:44:44.831848+00:00\n", " \n", " \n", " 4\n", " NaN\n", " NaN\n", - " 2403252023385ZVJZ3UF\n", + " 240327024443FACXGMKA\n", " 2.0\n", - " spider-sql.dev.88\n", + " spider-sql.dev.25\n", " sampling\n", - " {'prompt': [{'content': 'Answer the following ...\n", + " {'prompt': [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\n", + "Use only the following tables and columns:\n", + "Table: continents. Columns: ContId (number), Continent (text)\n", + "Table: countries. Columns: CountryId (number), CountryName (text), Continent (number)\n", + "Table: car_makers. Columns: Id (number), Maker (text), FullName (text), Country (text)\n", + "Table: model_list. Columns: ModelId (number), Maker (number), Model (text)\n", + "Table: car_names. Columns: MakeId (number), Model (text), Make (text)\n", + "Table: cars_data. Columns: Id (number), MPG (text), Cylinders (number), Edispl (number), Horsepower (text), Weight (number), Accelerate (number), Year (number)\n", + "\n", + "Question: How many countries exist?\n", + "', 'role': 'system'}], 'sampled': ['SELECT COUNT(*) AS TotalCountries\n", + "FROM countries;']}\n", " \n", - " 2024-03-25 20:23:38.841729+00:00\n", + " 2024-03-27 02:44:44.996647+00:00\n", " \n", " \n", "\n", "" ], "text/plain": [ - " spec \\\n", - "0 {'completion_fns': ['gpt-3.5-turbo'], 'eval_na... \n", - "1 NaN \n", - "2 NaN \n", - "3 NaN \n", - "4 NaN \n", + " spec \\\n", + "0 {'completion_fns': ['gpt-3.5-turbo'], 'eval_name': 'spider-sql.dev.v0', 'base_eval': 'spider-sql', 'split': 'dev', 'run_config': {'completion_fns': ['gpt-3.5-turbo'], 'eval_spec': {'cls': 'evals.elsuite.modelgraded.classify:ModelBasedClassify', 'registry_path': '/Users/shyamal/.virtualenvs/openai/lib/python3.11/site-packages/evals/registry', 'args': {'samples_jsonl': 'sql/spider_sql.jsonl', 'eval_type': 'cot_classify', 'modelgraded_spec': 'sql'}, 'key': 'spider-sql.dev.v0', 'group': 'sql'}, 'seed': 20220722, 'max_samples': 25, 'command': '/Users/shyamal/.virtualenvs/openai/bin/oaieval gpt-3.5-turbo spider-sql --max_samples 25', 'initial_settings': {'visible': False}}, 'created_by': '', 'run_id': '240327024443FACXGMKA', 'created_at': '2024-03-27 02:44:43.626043'} \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "\n", + " final_report \\\n", + "0 NaN \n", + "1 {'counts/Correct': 20, 'counts/Incorrect': 5, 'score': 0.8} \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "\n", + " run_id event_id sample_id type \\\n", + "0 NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN \n", + "2 240327024443FACXGMKA 0.0 spider-sql.dev.88 sampling \n", + "3 240327024443FACXGMKA 1.0 spider-sql.dev.82 sampling \n", + "4 240327024443FACXGMKA 2.0 spider-sql.dev.25 sampling \n", + "\n", + " data \\\n", + "0 NaN \n", + "1 NaN \n", + "2 {'prompt': [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\n", + "Use only the following tables and columns:\n", + "Table: players. Columns: player_id (number), first_name (text), last_name (text), hand (text), birth_date (time), country_code (text)\n", + "Table: matches. Columns: best_of (number), draw_size (number), loser_age (number), loser_entry (text), loser_hand (text), loser_ht (number), loser_id (number), loser_ioc (text), loser_name (text), loser_rank (number), loser_rank_points (number), loser_seed (number), match_num (number), minutes (number), round (text), score (text), surface (text), tourney_date (time), tourney_id (text), tourney_level (text), tourney_name (text), winner_age (number), winner_entry (text), winner_hand (text), winner_ht (number), winner_id (number), winner_ioc (text), winner_name (text), winner_rank (number), winner_rank_points (number), winner_seed (number), year (number)\n", + "Table: rankings. Columns: ranking_date (time), ranking (number), player_id (number), ranking_points (number), tours (number)\n", "\n", - " final_report run_id \\\n", - "0 NaN NaN \n", - "1 {'counts/Correct': 17, 'counts/Incorrect': 3, ... NaN \n", - "2 NaN 2403252023385ZVJZ3UF \n", - "3 NaN 2403252023385ZVJZ3UF \n", - "4 NaN 2403252023385ZVJZ3UF \n", + "Question: Find the average rank of winners in all matches.\n", + "', 'role': 'system'}], 'sampled': ['SELECT AVG(winner_rank) AS average_rank_of_winners\n", + "FROM matches;']} \n", + "3 {'prompt': [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\n", + "Use only the following tables and columns:\n", + "Table: players. Columns: player_id (number), first_name (text), last_name (text), hand (text), birth_date (time), country_code (text)\n", + "Table: matches. Columns: best_of (number), draw_size (number), loser_age (number), loser_entry (text), loser_hand (text), loser_ht (number), loser_id (number), loser_ioc (text), loser_name (text), loser_rank (number), loser_rank_points (number), loser_seed (number), match_num (number), minutes (number), round (text), score (text), surface (text), tourney_date (time), tourney_id (text), tourney_level (text), tourney_name (text), winner_age (number), winner_entry (text), winner_hand (text), winner_ht (number), winner_id (number), winner_ioc (text), winner_name (text), winner_rank (number), winner_rank_points (number), winner_seed (number), year (number)\n", + "Table: rankings. Columns: ranking_date (time), ranking (number), player_id (number), ranking_points (number), tours (number)\n", "\n", - " event_id sample_id type \\\n", - "0 NaN NaN NaN \n", - "1 NaN NaN NaN \n", - "2 0.0 spider-sql.dev.117 sampling \n", - "3 1.0 spider-sql.dev.72 sampling \n", - "4 2.0 spider-sql.dev.88 sampling \n", + "Question: Find the total number of matches.\n", + "', 'role': 'system'}], 'sampled': ['SELECT COUNT(*) AS total_matches\n", + "FROM matches;']} \n", + "4 {'prompt': [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\n", + "Use only the following tables and columns:\n", + "Table: continents. Columns: ContId (number), Continent (text)\n", + "Table: countries. Columns: CountryId (number), CountryName (text), Continent (number)\n", + "Table: car_makers. Columns: Id (number), Maker (text), FullName (text), Country (text)\n", + "Table: model_list. Columns: ModelId (number), Maker (number), Model (text)\n", + "Table: car_names. Columns: MakeId (number), Model (text), Make (text)\n", + "Table: cars_data. Columns: Id (number), MPG (text), Cylinders (number), Edispl (number), Horsepower (text), Weight (number), Accelerate (number), Year (number)\n", "\n", - " data created_by \\\n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 {'prompt': [{'content': 'Answer the following ... \n", - "3 {'prompt': [{'content': 'Answer the following ... \n", - "4 {'prompt': [{'content': 'Answer the following ... \n", + "Question: How many countries exist?\n", + "', 'role': 'system'}], 'sampled': ['SELECT COUNT(*) AS TotalCountries\n", + "FROM countries;']} \n", "\n", - " created_at \n", - "0 NaT \n", - "1 NaT \n", - "2 2024-03-25 20:23:38.803226+00:00 \n", - "3 2024-03-25 20:23:38.840276+00:00 \n", - "4 2024-03-25 20:23:38.841729+00:00 " + " created_by created_at \n", + "0 NaN NaT \n", + "1 NaN NaT \n", + "2 2024-03-27 02:44:44.821110+00:00 \n", + "3 2024-03-27 02:44:44.831848+00:00 \n", + "4 2024-03-27 02:44:44.996647+00:00 " ] }, "metadata": {}, @@ -640,14 +707,14 @@ } ], "source": [ - "log_name = '2403252023385ZVJZ3UF_gpt-3.5-turbo_spider-sql.jsonl' # \"EDIT THIS\" - copy from above\n", + "log_name = '240327024443FACXGMKA_gpt-3.5-turbo_spider-sql.jsonl' # \"EDIT THIS\" - copy from above\n", "events = f\"/tmp/evallogs/{log_name}\"\n", "display(pd.read_json(events, lines=True).head(5))" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 16, "metadata": { "collapsed": false, "jupyter": { @@ -671,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -683,19 +750,19 @@ " 'split': 'dev',\n", " 'run_config': {'completion_fns': ['gpt-3.5-turbo'],\n", " 'eval_spec': {'cls': 'evals.elsuite.modelgraded.classify:ModelBasedClassify',\n", - " 'registry_path': '/Users/roy/Documents/Github/openai-cookbook/.venv/lib/python3.9/site-packages/evals/registry',\n", + " 'registry_path': '/Users/shyamal/.virtualenvs/openai/lib/python3.11/site-packages/evals/registry',\n", " 'args': {'samples_jsonl': 'sql/spider_sql.jsonl',\n", " 'eval_type': 'cot_classify',\n", " 'modelgraded_spec': 'sql'},\n", " 'key': 'spider-sql.dev.v0',\n", " 'group': 'sql'},\n", " 'seed': 20220722,\n", - " 'max_samples': 20,\n", - " 'command': '/Users/roy/Documents/Github/openai-cookbook/.venv/bin/oaieval gpt-3.5-turbo spider-sql --max_samples 20',\n", + " 'max_samples': 25,\n", + " 'command': '/Users/shyamal/.virtualenvs/openai/bin/oaieval gpt-3.5-turbo spider-sql --max_samples 25',\n", " 'initial_settings': {'visible': False}},\n", " 'created_by': '',\n", - " 'run_id': '2403252023385ZVJZ3UF',\n", - " 'created_at': '2024-03-25 20:23:38.132021'}" + " 'run_id': '240327024443FACXGMKA',\n", + " 'created_at': '2024-03-27 02:44:43.626043'}" ] }, "metadata": {}, @@ -715,13 +782,13 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'counts/Correct': 17, 'counts/Incorrect': 3, 'score': 0.85}" + "{'counts/Correct': 20, 'counts/Incorrect': 5, 'score': 0.8}" ] }, "metadata": {}, @@ -741,27 +808,26 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "run_id 2403252023385ZVJZ3UF\n", - "event_id 0.0\n", - "sample_id spider-sql.dev.117\n", - "type sampling\n", + "run_id 240327024443FACXGMKA\n", + "event_id 0.0\n", + "sample_id spider-sql.dev.88\n", + "type sampling\n", "data {'prompt': [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\n", "Use only the following tables and columns:\n", - "Table: TV_Channel. Columns: id (text), series_name (text), Country (text), Language (text), Content (text), Pixel_aspect_ratio_PAR (text), Hight_definition_TV (text), Pay_per_view_PPV (text), Package_Option (text)\n", - "Table: TV_series. Columns: id (number), Episode (text), Air_Date (text), Rating (text), Share (number), 18_49_Rating_Share (text), Viewers_m (text), Weekly_Rank (number), Channel (text)\n", - "Table: Cartoon. Columns: id (number), Title (text), Directed_by (text), Written_by (text), Original_air_date (text), Production_code (number), Channel (text)\n", + "Table: players. Columns: player_id (number), first_name (text), last_name (text), hand (text), birth_date (time), country_code (text)\n", + "Table: matches. Columns: best_of (number), draw_size (number), loser_age (number), loser_entry (text), loser_hand (text), loser_ht (number), loser_id (number), loser_ioc (text), loser_name (text), loser_rank (number), loser_rank_points (number), loser_seed (number), match_num (number), minutes (number), round (text), score (text), surface (text), tourney_date (time), tourney_id (text), tourney_level (text), tourney_name (text), winner_age (number), winner_entry (text), winner_hand (text), winner_ht (number), winner_id (number), winner_ioc (text), winner_name (text), winner_rank (number), winner_rank_points (number), winner_seed (number), year (number)\n", + "Table: rankings. Columns: ranking_date (time), ranking (number), player_id (number), ranking_points (number), tours (number)\n", "\n", - "Question: What is the name and directors of all the cartoons that are ordered by air date?\n", - "', 'role': 'system'}], 'sampled': ['SELECT Title, Directed_by\n", - "FROM Cartoon\n", - "ORDER BY Original_air_date;']}\n", - "created_at 2024-03-25 20:23:38.803226+00:00\n", + "Question: Find the average rank of winners in all matches.\n", + "', 'role': 'system'}], 'sampled': ['SELECT AVG(winner_rank) AS average_rank_of_winners\n", + "FROM matches;']}\n", + "created_at 2024-03-27 02:44:44.821110+00:00\n", "Name: 2, dtype: object" ] }, @@ -776,27 +842,27 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: TV_Channel. Columns: id (text), series_name (text), Country (text), Language (text), Content (text), Pixel_aspect_ratio_PAR (text), Hight_definition_TV (text), Pay_per_view_PPV (text), Package_Option (text)\\nTable: TV_series. Columns: id (number), Episode (text), Air_Date (text), Rating (text), Share (number), 18_49_Rating_Share (text), Viewers_m (text), Weekly_Rank (number), Channel (text)\\nTable: Cartoon. Columns: id (number), Title (text), Directed_by (text), Written_by (text), Original_air_date (text), Production_code (number), Channel (text)\\n\\nQuestion: What is the name and directors of all the cartoons that are ordered by air date?\\n', 'role': 'system'}]\n", - "Sampled: ['SELECT Title, Directed_by\\nFROM Cartoon\\nORDER BY Original_air_date;']\n", - "----------\n", - "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: museum. Columns: Museum_ID (number), Name (text), Num_of_Staff (number), Open_Year (text)\\nTable: visitor. Columns: ID (number), Name (text), Level_of_membership (number), Age (number)\\nTable: visit. Columns: Museum_ID (number), visitor_ID (text), Num_of_Ticket (number), Total_spent (number)\\n\\nQuestion: What is the average age of the visitors whose membership level is not higher than 4?\\n', 'role': 'system'}]\n", - "Sampled: ['SELECT AVG(Age) \\nFROM visitor \\nWHERE Level_of_membership <= 4;']\n", - "----------\n", "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: players. Columns: player_id (number), first_name (text), last_name (text), hand (text), birth_date (time), country_code (text)\\nTable: matches. Columns: best_of (number), draw_size (number), loser_age (number), loser_entry (text), loser_hand (text), loser_ht (number), loser_id (number), loser_ioc (text), loser_name (text), loser_rank (number), loser_rank_points (number), loser_seed (number), match_num (number), minutes (number), round (text), score (text), surface (text), tourney_date (time), tourney_id (text), tourney_level (text), tourney_name (text), winner_age (number), winner_entry (text), winner_hand (text), winner_ht (number), winner_id (number), winner_ioc (text), winner_name (text), winner_rank (number), winner_rank_points (number), winner_seed (number), year (number)\\nTable: rankings. Columns: ranking_date (time), ranking (number), player_id (number), ranking_points (number), tours (number)\\n\\nQuestion: Find the average rank of winners in all matches.\\n', 'role': 'system'}]\n", - "Sampled: ['SELECT AVG(winner_rank) AS average_winner_rank\\nFROM matches;']\n", + "Sampled: ['SELECT AVG(winner_rank) AS average_rank_of_winners\\nFROM matches;']\n", + "----------\n", + "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: players. Columns: player_id (number), first_name (text), last_name (text), hand (text), birth_date (time), country_code (text)\\nTable: matches. Columns: best_of (number), draw_size (number), loser_age (number), loser_entry (text), loser_hand (text), loser_ht (number), loser_id (number), loser_ioc (text), loser_name (text), loser_rank (number), loser_rank_points (number), loser_seed (number), match_num (number), minutes (number), round (text), score (text), surface (text), tourney_date (time), tourney_id (text), tourney_level (text), tourney_name (text), winner_age (number), winner_entry (text), winner_hand (text), winner_ht (number), winner_id (number), winner_ioc (text), winner_name (text), winner_rank (number), winner_rank_points (number), winner_seed (number), year (number)\\nTable: rankings. Columns: ranking_date (time), ranking (number), player_id (number), ranking_points (number), tours (number)\\n\\nQuestion: Find the total number of matches.\\n', 'role': 'system'}]\n", + "Sampled: ['SELECT COUNT(*) AS total_matches\\nFROM matches;']\n", "----------\n", "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: continents. Columns: ContId (number), Continent (text)\\nTable: countries. Columns: CountryId (number), CountryName (text), Continent (number)\\nTable: car_makers. Columns: Id (number), Maker (text), FullName (text), Country (text)\\nTable: model_list. Columns: ModelId (number), Maker (number), Model (text)\\nTable: car_names. Columns: MakeId (number), Model (text), Make (text)\\nTable: cars_data. Columns: Id (number), MPG (text), Cylinders (number), Edispl (number), Horsepower (text), Weight (number), Accelerate (number), Year (number)\\n\\nQuestion: How many countries exist?\\n', 'role': 'system'}]\n", - "Sampled: ['```sql\\nSELECT COUNT(*) AS TotalCountries\\nFROM countries;\\n```']\n", + "Sampled: ['SELECT COUNT(*) AS TotalCountries\\nFROM countries;']\n", "----------\n", - "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: city. Columns: ID (number), Name (text), CountryCode (text), District (text), Population (number)\\nTable: sqlite_sequence. Columns: name (text), seq (text)\\nTable: country. Columns: Code (text), Name (text), Continent (text), Region (text), SurfaceArea (number), IndepYear (number), Population (number), LifeExpectancy (number), GNP (number), GNPOld (number), LocalName (text), GovernmentForm (text), HeadOfState (text), Capital (number), Code2 (text)\\nTable: countrylanguage. Columns: CountryCode (text), Language (text), IsOfficial (text), Percentage (number)\\n\\nQuestion: How many countries have a republic as their form of government?\\n', 'role': 'system'}]\n", - "Sampled: [\"```sql\\nSELECT COUNT(*) \\nFROM country \\nWHERE GovernmentForm = 'Republic';\\n```\"]\n", + "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: TV_Channel. Columns: id (text), series_name (text), Country (text), Language (text), Content (text), Pixel_aspect_ratio_PAR (text), Hight_definition_TV (text), Pay_per_view_PPV (text), Package_Option (text)\\nTable: TV_series. Columns: id (number), Episode (text), Air_Date (text), Rating (text), Share (number), 18_49_Rating_Share (text), Viewers_m (text), Weekly_Rank (number), Channel (text)\\nTable: Cartoon. Columns: id (number), Title (text), Directed_by (text), Written_by (text), Original_air_date (text), Production_code (number), Channel (text)\\n\\nQuestion: What is the name and directors of all the cartoons that are ordered by air date?\\n', 'role': 'system'}]\n", + "Sampled: ['SELECT Title, Directed_by\\nFROM Cartoon\\nORDER BY Original_air_date;']\n", + "----------\n", + "Prompt: [{'content': 'Answer the following question with syntactically correct SQLite SQL. Be creative but the SQL must be correct.\\nUse only the following tables and columns:\\nTable: stadium. Columns: Stadium_ID (number), Location (text), Name (text), Capacity (number), Highest (number), Lowest (number), Average (number)\\nTable: singer. Columns: Singer_ID (number), Name (text), Country (text), Song_Name (text), Song_release_year (text), Age (number), Is_male (others)\\nTable: concert. Columns: concert_ID (number), concert_Name (text), Theme (text), Stadium_ID (text), Year (text)\\nTable: singer_in_concert. Columns: concert_ID (number), Singer_ID (text)\\n\\nQuestion: Show the name and the release year of the song by the youngest singer.\\n', 'role': 'system'}]\n", + "Sampled: ['```sql\\nSELECT s.Name, s.Song_release_year\\nFROM singer s\\nWHERE s.Age = (SELECT MIN(Age) FROM singer)\\n```']\n", "----------\n" ] } @@ -819,96 +885,306 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "def pretty_print_text(prompt):\n", - " # Define markers for the start of each section\n", - " question_marker = \"[Question]:\"\n", - " expert_marker = \"[Expert]:\"\n", - " submission_marker = \"[Submission]:\"\n", - "\n", - " # Find the start indices of each section\n", - " question_start = prompt.find(question_marker) + len(question_marker)\n", - " expert_start = prompt.find(expert_marker) + len(expert_marker)\n", - " submission_start = prompt.find(submission_marker) + len(submission_marker)\n", - "\n", - " # Find the end index for the question and expert sections by looking for the next section's start\n", - " question_end = prompt.find(expert_marker)\n", - " expert_end = prompt.find(submission_marker)\n", - " submission_end = prompt.find('[END DATA]')\n", - "\n", - " # Extract the text for each section\n", - " question_text = prompt[question_start:question_end].strip()\n", - " expert_answer_text = prompt[expert_start:expert_end].strip()\n", - " submission_text = prompt[submission_start:submission_end].strip().replace(\"```sql\", \"\").replace(\"```\", \"\").strip()\n", - "\n", - " # Remove table definitions from the question text\n", - " question_text = question_text.split(\"\\n\\nQuestion:\")[1].strip() if \"\\n\\nQuestion:\" in question_text else question_text\n", - "\n", - " # Define ANSI color codes for readability\n", - " color_question = '\\033[94m' # Blue\n", - " color_expert = '\\033[92m' # Green\n", - " color_submission = '\\033[93m' # Yellow\n", - " color_end = '\\033[0m' # Reset to default color\n", - "\n", - " # Print with section headers and colors\n", - " print(f\"{color_question}QUESTION:\\n{question_text}{color_end}\")\n", - " print(f\"{color_expert}EXPECTED:\\n{expert_answer_text}{color_end}\")\n", - " print(f\"{color_submission}SUBMISSION:\\n{submission_text}{color_end}\")\n" + " # Define markers for the sections\n", + " markers = {\n", + " \"question\": \"[Question]:\",\n", + " \"expert\": \"[Expert]:\",\n", + " \"submission\": \"[Submission]:\",\n", + " \"end\": \"[END DATA]\"\n", + " }\n", + " \n", + " # Function to extract text between markers\n", + " def extract_text(start_marker, end_marker):\n", + " start = prompt.find(start_marker) + len(start_marker)\n", + " end = prompt.find(end_marker)\n", + " text = prompt[start:end].strip()\n", + " if start_marker == markers[\"question\"]:\n", + " text = text.split(\"\\n\\nQuestion:\")[-1].strip() if \"\\n\\nQuestion:\" in text else text\n", + " elif start_marker == markers[\"submission\"]:\n", + " text = text.replace(\"```sql\", \"\").replace(\"```\", \"\").strip()\n", + " return text\n", + " \n", + " # Extracting text for each section\n", + " question_text = extract_text(markers[\"question\"], markers[\"expert\"])\n", + " expert_text = extract_text(markers[\"expert\"], markers[\"submission\"])\n", + " submission_text = extract_text(markers[\"submission\"], markers[\"end\"])\n", + " \n", + " # HTML color codes and formatting\n", + " colors = {\n", + " \"question\": 'QUESTION:
    ', \n", + " \"expert\": 'EXPECTED:
    ', \n", + " \"submission\": 'SUBMISSION:
    ' \n", + " }\n", + " color_end = '    '\n", + " \n", + " # Display each section with color\n", + " from IPython.display import display, HTML\n", + " display(HTML(f\"{colors['question']}{question_text}{color_end}\"))\n", + " display(HTML(f\"{colors['expert']}{expert_text}{color_end}\"))\n", + " display(HTML(f\"{colors['submission']}{submission_text}{color_end}\"))" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 22, "metadata": {}, "outputs": [ + { + "data": { + "text/html": [ + "QUESTION:
    How many countries have a republic as their form of government?\n", + "\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "EXPECTED:
    SELECT count(*) FROM country WHERE GovernmentForm = \"Republic\"\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "SUBMISSION:
    SELECT COUNT(*) \n", + "FROM country \n", + "WHERE GovernmentForm LIKE '%Republic%'\n", + "\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------------------------------------\n" + ] + }, + { + "data": { + "text/html": [ + "QUESTION:
    Return the document id, template id, and description for the document with the name Robbin CV.\n", + "\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "EXPECTED:
    SELECT document_id , template_id , Document_Description FROM Documents WHERE document_name = \"Robbin CV\"\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "SUBMISSION:
    SELECT Documents.Document_ID, Documents.Template_ID, Documents.Document_Description\n", + "FROM Documents\n", + "JOIN Templates ON Documents.Template_ID = Templates.Template_ID\n", + "WHERE Documents.Document_Name = 'Robbin CV';\n", + "\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------------------------------------\n" + ] + }, + { + "data": { + "text/html": [ + "QUESTION:
    Which professionals live in the state of Indiana or have done treatment on more than 2 treatments? List his or her id, last name and cell phone.\n", + "\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "EXPECTED:
    SELECT professional_id , last_name , cell_number FROM Professionals WHERE state = 'Indiana' UNION SELECT T1.professional_id , T1.last_name , T1.cell_number FROM Professionals AS T1 JOIN Treatments AS T2 ON T1.professional_id = T2.professional_id GROUP BY T1.professional_id HAVING count(*) > 2\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "SUBMISSION:
    SELECT professional_id, last_name, cell_number\n", + "FROM Professionals\n", + "WHERE state = 'Indiana'\n", + "OR professional_id IN (\n", + " SELECT professional_id\n", + " FROM Treatments\n", + " GROUP BY professional_id\n", + " HAVING COUNT(*) > 2\n", + ");\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------------------------------------\n" + ] + }, + { + "data": { + "text/html": [ + "QUESTION:
    What is the continent name which Anguilla belongs to?\n", + "\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "EXPECTED:
    SELECT Continent FROM country WHERE Name = \"Anguilla\"\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "SUBMISSION:
    SELECT c.Continent\n", + "FROM country c\n", + "WHERE c.Code = 'AIA';\n", + "\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----------------------------------------\n" + ] + }, + { + "data": { + "text/html": [ + "QUESTION:
    How many airlines do we have?\n", + "\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "EXPECTED:
    SELECT count(*) FROM AIRLINES\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "SUBMISSION:
    SELECT COUNT(DISTINCT Airline) AS TotalAirlines\n", + "FROM airlines;\n", + "************    " + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[94mQUESTION:\n", - "Return the document id, template id, and description for the document with the name Robbin CV.\n", - "\n", - "************\u001b[0m\n", - "\u001b[92mEXPECTED:\n", - "SELECT document_id , template_id , Document_Description FROM Documents WHERE document_name = \"Robbin CV\"\n", - "************\u001b[0m\n", - "\u001b[93mSUBMISSION:\n", - "SELECT Documents.Document_ID, Documents.Template_ID, Documents.Document_Description\n", - "FROM Documents\n", - "JOIN Templates ON Documents.Template_ID = Templates.Template_ID\n", - "WHERE Documents.Document_Name = 'Robbin CV';\n", - "\n", - "************\u001b[0m\n", - "----------------------------------------\n", - "\u001b[94mQUESTION:\n", - "What country is Jetblue Airways affiliated with?\n", - "\n", - "************\u001b[0m\n", - "\u001b[92mEXPECTED:\n", - "SELECT Country FROM AIRLINES WHERE Airline = \"JetBlue Airways\"\n", - "************\u001b[0m\n", - "\u001b[93mSUBMISSION:\n", - "SELECT Country\n", - "FROM airlines\n", - "WHERE Airline = 'Jetblue Airways';\n", - "************\u001b[0m\n", - "----------------------------------------\n", - "\u001b[94mQUESTION:\n", - "Find the maximum weight for each type of pet. List the maximum weight and pet type.\n", - "\n", - "************\u001b[0m\n", - "\u001b[92mEXPECTED:\n", - "SELECT max(weight) , petType FROM pets GROUP BY petType\n", - "************\u001b[0m\n", - "\u001b[93mSUBMISSION:\n", - "SELECT PetType, MAX(weight) AS max_weight\n", - "FROM Pets\n", - "GROUP BY PetType;\n", - "\n", - "************\u001b[0m\n", "----------------------------------------\n" ] } @@ -933,9 +1209,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Reviewing each of these failures we see the following:\n", - "* The first incorrect answer had an unnecessary join with the 'Templates' table. Our eval was able to accurately identify this and flag this as incorrect. \n", - "* The following two answers are technically correct and would succeeed if we compared the results, however they have minor syntax differences that caused the answers to get flagged.\n", + "Reviewing some of the failures we see the following:\n", + "* The second incorrect answer had an unnecessary join with the 'Templates' table. Our eval was able to accurately identify this and flag this as incorrect. \n", + "* Few other answers have minor syntax differences that caused the answers to get flagged.\n", " * In situations like this, it would be worthwhile exploring whether we should continue iterating on the prompt to ensure certain stylistic choices, or if we should modify the evaluation suite to capture this variation.\n", " * This type of failure hints at the potential need for model-graded evals as a way to ensure accuracy in grading the results" ] @@ -973,7 +1249,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.6" + "version": "3.11.8" } }, "nbformat": 4, From 60998aabbed0f8027332896876c48f7c74f1008b Mon Sep 17 00:00:00 2001 From: Gabor Cselle Date: Thu, 28 Mar 2024 14:14:24 -0700 Subject: [PATCH 21/44] Instructions for OPENAI_API_KEY as env var and in IDEs (#1042) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 3e28958..61a91c4 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ > ✨ Navigate at [cookbook.openai.com](https://cookbook.openai.com) -Example code and guides for accomplishing common tasks with the [OpenAI API](https://platform.openai.com/docs/introduction). To run these examples, you'll need an OpenAI account and associated API key ([create a free account here](https://beta.openai.com/signup)). +Example code and guides for accomplishing common tasks with the [OpenAI API](https://platform.openai.com/docs/introduction). To run these examples, you'll need an OpenAI account and associated API key ([create a free account here](https://beta.openai.com/signup)). Set an environment variable called `OPENAI_API_KEY` with your API key. Alternatively, in most IDEs such as Visual Studio Code, you can create an `.env` file at the root of your repo containing `OPENAI_API_KEY=`, which will be picked up by the notebooks. Most code examples are written in Python, though the concepts can be applied in any language. From fc2b61c1c3924cd4bb6e8f2648f848ee9c5041ce Mon Sep 17 00:00:00 2001 From: Noa Flaherty Date: Thu, 28 Mar 2024 17:15:19 -0400 Subject: [PATCH 22/44] Add Vellum to Related Resources Page (#1098) --- articles/related_resources.md | 1 + 1 file changed, 1 insertion(+) diff --git a/articles/related_resources.md b/articles/related_resources.md index f9ac312..ac8718c 100644 --- a/articles/related_resources.md +++ b/articles/related_resources.md @@ -25,6 +25,7 @@ People are writing great tools and papers for improving outputs from GPT. Here a - [Prompttools](https://github.com/hegelai/prompttools): Open-source Python tools for testing and evaluating models, vector DBs, and prompts. - [Scale Spellbook](https://scale.com/spellbook): A paid product for building, comparing, and shipping language model apps. - [Semantic Kernel](https://github.com/microsoft/semantic-kernel): A Python/C#/Java library from Microsoft that supports prompt templating, function chaining, vectorized memory, and intelligent planning. +- [Vellum](https://www.vellum.ai/): A paid AI product development platform to experiment with, evaluate, and deploy advanced LLM apps. - [Weights & Biases](https://wandb.ai/site/solutions/llmops): A paid product for tracking model training and prompt engineering experiments. - [YiVal](https://github.com/YiVal/YiVal): An open-source GenAI-Ops tool for tuning and evaluating prompts, retrieval configurations, and model parameters using customizable datasets, evaluation methods, and evolution strategies. From 52b6198932b8425e2f98144fcc2455a0c57b5228 Mon Sep 17 00:00:00 2001 From: Erik Peterson Date: Thu, 28 Mar 2024 14:15:37 -0700 Subject: [PATCH 23/44] Add Baserun to Related Resources (#1117) --- articles/related_resources.md | 1 + 1 file changed, 1 insertion(+) diff --git a/articles/related_resources.md b/articles/related_resources.md index ac8718c..a9a421e 100644 --- a/articles/related_resources.md +++ b/articles/related_resources.md @@ -5,6 +5,7 @@ People are writing great tools and papers for improving outputs from GPT. Here a ## Prompting libraries & tools (in alphabetical order) - [Arthur Shield](https://www.arthur.ai/get-started): A paid product for detecting toxicity, hallucination, prompt injection, etc. +- [Baserun](https://baserun.ai/): A paid product for testing, debugging, and monitoring LLM-based apps - [Chainlit](https://docs.chainlit.io/overview): A Python library for making chatbot interfaces. - [Embedchain](https://github.com/embedchain/embedchain): A Python library for managing and syncing unstructured data with LLMs. - [FLAML (A Fast Library for Automated Machine Learning & Tuning)](https://microsoft.github.io/FLAML/docs/Getting-Started/): A Python library for automating selection of models, hyperparameters, and other tunable choices. From a1dd606413305a18ddbee9b69a98de239c82dc1d Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Fri, 29 Mar 2024 06:16:02 +0900 Subject: [PATCH 24/44] Update Creating_slides_with_Assistants_API_and_DALL-E3.ipynb (#1121) --- examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb b/examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb index bed5891..b9ba22f 100644 --- a/examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb +++ b/examples/Creating_slides_with_Assistants_API_and_DALL-E3.ipynb @@ -7,7 +7,7 @@ "# Creating slides with the Assistants API (GPT-4), and DALL·E-3\n", "\n", "This notebook illustrates the use of the new [Assistants API](https://platform.openai.com/docs/assistants/overview) (GPT-4), and DALL·E-3 in crafting informative and visually appealing slides.
    \n", - "Creating slides is a pivotal aspect of many jobs, but can be laborious and time-consuming. Additionally, extracting insights from data and articulating them effectively on slides can be challenging.

    This cookbook recipe will demonstrate how you can utilize the new Assistants API to faciliate the end to end slide creation process for you without you having to touch Microsoft PowerPoint or Google Slides, saving you valuable time and effort!" + "Creating slides is a pivotal aspect of many jobs, but can be laborious and time-consuming. Additionally, extracting insights from data and articulating them effectively on slides can be challenging.

    This cookbook recipe will demonstrate how you can utilize the new Assistants API to facilitate the end to end slide creation process for you without you having to touch Microsoft PowerPoint or Google Slides, saving you valuable time and effort!" ] }, { From ac7f6552a0d8a3da6825f63ca7dac7451db55af3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Yavuz=20Alp=20Sencer=20=C3=96ZT=C3=9CRK?= <28690608+alpsencer@users.noreply.github.com> Date: Fri, 29 Mar 2024 00:16:34 +0300 Subject: [PATCH 25/44] Update deprecated comment to reflect use of gpt-4 in Clustering.ipynb (#1120) --- examples/Clustering.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/Clustering.ipynb b/examples/Clustering.ipynb index 58d66a4..7ca3a01 100644 --- a/examples/Clustering.ipynb +++ b/examples/Clustering.ipynb @@ -163,7 +163,7 @@ "source": [ "### 2. Text samples in the clusters & naming the clusters\n", "\n", - "Let's show random samples from each cluster. We'll use text-davinci-003 to name the clusters, based on a random sample of 5 reviews from that cluster." + "Let's show random samples from each cluster. We'll use gpt-4 to name the clusters, based on a random sample of 5 reviews from that cluster." ] }, { From 7c3aaa85c8aef36bdc02f0014e1612e0dd19a0e5 Mon Sep 17 00:00:00 2001 From: Joe Beutler <156261485+jbeutler-openai@users.noreply.github.com> Date: Mon, 1 Apr 2024 15:38:12 -0700 Subject: [PATCH 26/44] Updating the "Using embeddings" cookbook to reflect the latest SDK (#1014) --- examples/Using_embeddings.ipynb | 25 ++++++++++++++----------- 1 file changed, 14 insertions(+), 11 deletions(-) diff --git a/examples/Using_embeddings.ipynb b/examples/Using_embeddings.ipynb index 3ae4e51..c374ee8 100644 --- a/examples/Using_embeddings.ipynb +++ b/examples/Using_embeddings.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -27,11 +27,12 @@ } ], "source": [ - "import openai\n", + "from openai import OpenAI\n", + "client = OpenAI()\n", "\n", - "embedding = openai.Embedding.create(\n", - " input=\"Your text goes here\", model=\"text-embedding-3-small\"\n", - ")[\"data\"][0][\"embedding\"]\n", + "embedding = client.embeddings.create(\n", + " input=\"Your text goes here\", model=\"text-embedding-ada-002\"\n", + ").data[0].embedding\n", "len(embedding)\n" ] }, @@ -50,13 +51,14 @@ "outputs": [], "source": [ "# Negative example (slow and rate-limited)\n", - "import openai\n", + "from openai import OpenAI\n", + "client = OpenAI()\n", "\n", "num_embeddings = 10000 # Some large number\n", "for i in range(num_embeddings):\n", - " embedding = openai.Embedding.create(\n", - " input=\"Your text goes here\", model=\"text-embedding-3-small\"\n", - " )[\"data\"][0][\"embedding\"]\n", + " embedding = client.embeddings.create(\n", + " input=\"Your text goes here\", model=\"text-embedding-ada-002\"\n", + " ).data[0].embedding\n", " print(len(embedding))" ] }, @@ -75,13 +77,14 @@ ], "source": [ "# Best practice\n", - "import openai\n", "from tenacity import retry, wait_random_exponential, stop_after_attempt\n", + "from openai import OpenAI\n", + "client = OpenAI()\n", "\n", "# Retry up to 6 times with exponential backoff, starting at 1 second and maxing out at 20 seconds delay\n", "@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))\n", "def get_embedding(text: str, model=\"text-embedding-3-small\") -> list[float]:\n", - " return openai.Embedding.create(input=[text], model=model)[\"data\"][0][\"embedding\"]\n", + " return client.embeddings.create(input=[text], model=model).data[0].embedding\n", "\n", "embedding = get_embedding(\"Your text goes here\", model=\"text-embedding-3-small\")\n", "print(len(embedding))" From a4054685808487907129db40910a70d2b49fc40c Mon Sep 17 00:00:00 2001 From: Joe Beutler <156261485+jbeutler-openai@users.noreply.github.com> Date: Mon, 1 Apr 2024 17:04:55 -0700 Subject: [PATCH 27/44] updating for latest embedding models (#1129) --- examples/Using_embeddings.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/Using_embeddings.ipynb b/examples/Using_embeddings.ipynb index c374ee8..30ed30b 100644 --- a/examples/Using_embeddings.ipynb +++ b/examples/Using_embeddings.ipynb @@ -31,7 +31,7 @@ "client = OpenAI()\n", "\n", "embedding = client.embeddings.create(\n", - " input=\"Your text goes here\", model=\"text-embedding-ada-002\"\n", + " input=\"Your text goes here\", model=\"text-embedding-3-small\"\n", ").data[0].embedding\n", "len(embedding)\n" ] @@ -57,7 +57,7 @@ "num_embeddings = 10000 # Some large number\n", "for i in range(num_embeddings):\n", " embedding = client.embeddings.create(\n", - " input=\"Your text goes here\", model=\"text-embedding-ada-002\"\n", + " input=\"Your text goes here\", model=\"text-embedding-3-small\"\n", " ).data[0].embedding\n", " print(len(embedding))" ] From 3c4e4bd8d0eca1352a94d4071d4843a6a418c8f7 Mon Sep 17 00:00:00 2001 From: joe-at-openai <117690718+joe-at-openai@users.noreply.github.com> Date: Mon, 8 Apr 2024 16:55:39 -0700 Subject: [PATCH 28/44] Joe at openai/summarize with controllable detail (#1128) --- ...Summarizing_with_controllable_detail.ipynb | 657 ++++++++++++++++++ examples/data/united_states_wikipedia.txt | 377 ++++++++++ registry.yaml | 9 + 3 files changed, 1043 insertions(+) create mode 100644 examples/Summarizing_with_controllable_detail.ipynb create mode 100644 examples/data/united_states_wikipedia.txt diff --git a/examples/Summarizing_with_controllable_detail.ipynb b/examples/Summarizing_with_controllable_detail.ipynb new file mode 100644 index 0000000..b08ded4 --- /dev/null +++ b/examples/Summarizing_with_controllable_detail.ipynb @@ -0,0 +1,657 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Summarizing with Controllable Detail" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The objective of this notebook is to demonstrate how to summarize large documents with a controllable level of detail. If you give a GPT model the task of summarizing a long document (e.g. 10k or more tokens), you'll tend to get back a relatively short summary that isn't proportional to the length of the document. For instance, a summary of a 20k token document will not be twice as long as a summary of a 10k token document. One way we can fix this is to split our document up into pieces, and produce a summary piecewise. After many queries to a GPT model, the full summary can be reconstructed. By controlling the number of text chunks and their sizes, we can ultimately control the level of detail in the output." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import openai\n", + "import tiktoken\n", + "from typing import List, Tuple, Optional\n", + "from tqdm import tqdm" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# open dataset containing part of the text of the Wikipedia page for the United States\n", + "with open(\"data/united_states_wikipedia.txt\", \"r\") as file:\n", + " united_states_wikipedia_text = file.read()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": "15781" + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# load encoding and check the length of dataset\n", + "encoding = tiktoken.encoding_for_model('gpt-3.5-turbo')\n", + "len(encoding.encode(united_states_wikipedia_text))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We'll define a simple utility to wrap calls to the OpenAI API." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def get_chat_completion(messages, model='gpt-3.5-turbo'):\n", + " response = openai.ChatCompletion.create(\n", + " model=model,\n", + " messages=messages,\n", + " temperature=0,\n", + " )\n", + " return response.choices[0].message['content']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next we'll define some utilities to chunk a large document into smaller pieces." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def tokenize(text: str) -> List[str]:\n", + " encoding = tiktoken.encoding_for_model('gpt-3.5-turbo')\n", + " return encoding.encode(text)\n", + "\n", + "\n", + "def chunk_on_delimiter(input_string, max_tokens, delimiter):\n", + " chunks = input_string.split(delimiter)\n", + " combined_chunks, _, dropped_chunk_count = combine_chunks_with_no_minimum(\n", + " chunks, max_tokens, chunk_delimiter=delimiter, add_ellipsis_for_overflow=True\n", + " )\n", + " if dropped_chunk_count > 0:\n", + " print(f\"warning: {dropped_chunk_count} chunks were dropped due to overflow\")\n", + " combined_chunks = [f\"{chunk}{delimiter}\" for chunk in combined_chunks]\n", + " return combined_chunks\n", + "\n", + "\n", + "def combine_chunks_with_no_minimum(\n", + " chunks: List[str],\n", + " max_tokens: int,\n", + " chunk_delimiter=\"\\n\\n\",\n", + " header: Optional[str] = None,\n", + " add_ellipsis_for_overflow=False,\n", + ") -> Tuple[List[str], List[int]]:\n", + " dropped_chunk_count = 0\n", + " output = [] # list to hold the final combined chunks\n", + " output_indices = [] # list to hold the indices of the final combined chunks\n", + " candidate = (\n", + " [] if header is None else [header]\n", + " ) # list to hold the current combined chunk candidate\n", + " candidate_indices = []\n", + " for chunk_i, chunk in enumerate(chunks):\n", + " chunk_with_header = [chunk] if header is None else [header, chunk]\n", + " if len(tokenize(chunk_delimiter.join(chunk_with_header))) > max_tokens:\n", + " print(f\"warning: chunk overflow\")\n", + " if (\n", + " add_ellipsis_for_overflow\n", + " and len(tokenize(chunk_delimiter.join(candidate + [\"...\"]))) <= max_tokens\n", + " ):\n", + " candidate.append(\"...\")\n", + " dropped_chunk_count += 1\n", + " continue # this case would break downstream assumptions\n", + " # estimate token count with the current chunk added\n", + " extended_candidate_token_count = len(tokenize(chunk_delimiter.join(candidate + [chunk])))\n", + " # If the token count exceeds max_tokens, add the current candidate to output and start a new candidate\n", + " if extended_candidate_token_count > max_tokens:\n", + " output.append(chunk_delimiter.join(candidate))\n", + " output_indices.append(candidate_indices)\n", + " candidate = chunk_with_header # re-initialize candidate\n", + " candidate_indices = [chunk_i]\n", + " # otherwise keep extending the candidate\n", + " else:\n", + " candidate.append(chunk)\n", + " candidate_indices.append(chunk_i)\n", + " # add the remaining candidate to output if it's not empty\n", + " if (header is not None and len(candidate) > 1) or (header is None and len(candidate) > 0):\n", + " output.append(chunk_delimiter.join(candidate))\n", + " output_indices.append(candidate_indices)\n", + " return output, output_indices, dropped_chunk_count" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we can define a utility to summarize text with a controllable level of detail (note the detail parameter)." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def summarize(text: str,\n", + " detail: float = 0,\n", + " model: str = 'gpt-3.5-turbo',\n", + " additional_instructions: Optional[str] = None,\n", + " minimum_chunk_size: Optional[int] = 500,\n", + " chunk_delimiter: str = \".\",\n", + " summarize_recursively = False,\n", + " verbose=False):\n", + " \"\"\"\n", + " Summarizes a given text by splitting it into chunks, each of which is summarized individually. \n", + " The level of detail in the summary can be adjusted, and the process can optionally be made recursive.\n", + "\n", + " Parameters:\n", + " - text (str): The text to be summarized.\n", + " - detail (float, optional): A value between 0 and 1 indicating the desired level of detail in the summary.\n", + " 0 leads to a higher level summary, and 1 results in a more detailed summary. Defaults to 0.\n", + " - model (str, optional): The model to use for generating summaries. Defaults to 'gpt-3.5-turbo'.\n", + " - additional_instructions (Optional[str], optional): Additional instructions to provide to the model for customizing summaries.\n", + " - minimum_chunk_size (Optional[int], optional): The minimum size for text chunks. Defaults to 500.\n", + " - chunk_delimiter (str, optional): The delimiter used to split the text into chunks. Defaults to \".\".\n", + " - summarize_recursively (bool, optional): If True, summaries are generated recursively, using previous summaries for context.\n", + " - verbose (bool, optional): If True, prints detailed information about the chunking process.\n", + "\n", + " Returns:\n", + " - str: The final compiled summary of the text.\n", + "\n", + " The function first determines the number of chunks by interpolating between a minimum and a maximum chunk count based on the `detail` parameter. \n", + " It then splits the text into chunks and summarizes each chunk. If `summarize_recursively` is True, each summary is based on the previous summaries, \n", + " adding more context to the summarization process. The function returns a compiled summary of all chunks.\n", + " \"\"\"\n", + " \n", + " # check detail is set correctly\n", + " assert 0 <= detail <= 1\n", + "\n", + " # interpolate the number of chunks based to get specified level of detail\n", + " max_chunks = len(chunk_on_delimiter(text, minimum_chunk_size, chunk_delimiter))\n", + " min_chunks = 1\n", + " num_chunks = int(min_chunks + detail * (max_chunks - min_chunks))\n", + "\n", + " # adjust chunk_size based on interpolated number of chunks\n", + " document_length = len(tokenize(text))\n", + " chunk_size = max(minimum_chunk_size, document_length // num_chunks)\n", + " text_chunks = chunk_on_delimiter(text, chunk_size, chunk_delimiter)\n", + " if verbose:\n", + " print(f\"Splitting the text into {len(text_chunks)} chunks to be summarized.\")\n", + " print(f\"Chunk lengths are {[len(tokenize(x)) for x in text_chunks]}\")\n", + "\n", + " # set system message\n", + " system_message_content = \"Summarize the following text.\"\n", + " if additional_instructions is not None:\n", + " system_message_content += f\"\\n\\n{additional_instructions}\"\n", + "\n", + " accumulated_summaries = []\n", + " for chunk in tqdm(text_chunks):\n", + " if summarize_recursively and accumulated_summaries:\n", + " # Creating a structured prompt for recursive summarization\n", + " accumulated_summaries_string = '\\n\\n'.join(accumulated_summaries)\n", + " user_message_content = f\"Previous summaries:\\n\\n{accumulated_summaries_string}\\n\\nText to summarize next:\\n\\n{chunk}\"\n", + " else:\n", + " # Directly passing the chunk for summarization without recursive context\n", + " user_message_content = chunk\n", + "\n", + " # Constructing messages based on whether recursive summarization is applied\n", + " messages = [\n", + " {\"role\": \"system\", \"content\": system_message_content},\n", + " {\"role\": \"user\", \"content\": user_message_content}\n", + " ]\n", + "\n", + " # Assuming this function gets the completion and works as expected\n", + " response = get_chat_completion(messages, model=model)\n", + " accumulated_summaries.append(response)\n", + "\n", + " # Compile final summary from partial summaries\n", + " final_summary = '\\n\\n'.join(accumulated_summaries)\n", + "\n", + " return final_summary" + ] + }, + { + "cell_type": "markdown", + "source": [ + "Now we can use this utility to produce summaries with varying levels of detail. By increasing 'detail' from 0 to 1 we get progressively longer summaries of the underlying document. A higher value for the detail parameter results in a more detailed summary because the utility first splits the document into a greater number of chunks. Each chunk is then summarized, and the final summary is a concatenation of all the chunk summaries." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Splitting the text into 1 chunks to be summarized.\n", + "Chunk lengths are [15781]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1/1 [00:05<00:00, 5.98s/it]\n" + ] + } + ], + "source": [ + "summary_with_detail_0 = summarize(united_states_wikipedia_text, detail=0, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Splitting the text into 5 chunks to be summarized.\n", + "Chunk lengths are [3945, 3941, 3943, 3915, 37]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5/5 [00:15<00:00, 3.18s/it]\n" + ] + } + ], + "source": [ + "summary_with_detail_pt1 = summarize(united_states_wikipedia_text, detail=0.1, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Splitting the text into 8 chunks to be summarized.\n", + "Chunk lengths are [2214, 2253, 2249, 2255, 2254, 2255, 2221, 84]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 8/8 [00:19<00:00, 2.46s/it]\n" + ] + } + ], + "source": [ + "summary_with_detail_pt2 = summarize(united_states_wikipedia_text, detail=0.2, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Splitting the text into 14 chunks to be summarized.\n", + "Chunk lengths are [1198, 1209, 1210, 1209, 1212, 1192, 1176, 1205, 1212, 1201, 1210, 1210, 1192, 154]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 14/14 [00:37<00:00, 2.69s/it]\n" + ] + } + ], + "source": [ + "summary_with_detail_pt4 = summarize(united_states_wikipedia_text, detail=0.4, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Splitting the text into 27 chunks to be summarized.\n", + "Chunk lengths are [602, 596, 601, 601, 604, 598, 572, 594, 592, 592, 604, 593, 578, 582, 597, 600, 596, 555, 582, 601, 582, 587, 581, 595, 598, 568, 445]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 27/27 [01:20<00:00, 2.99s/it]\n" + ] + } + ], + "source": [ + "summary_with_detail_pt8 = summarize(united_states_wikipedia_text, detail=0.8, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Splitting the text into 33 chunks to be summarized.\n", + "Chunk lengths are [490, 443, 475, 490, 501, 470, 472, 487, 479, 477, 447, 442, 490, 468, 488, 477, 493, 493, 472, 491, 490, 501, 493, 468, 500, 500, 474, 460, 489, 462, 490, 482, 445]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 33/33 [01:25<00:00, 2.58s/it]\n" + ] + } + ], + "source": [ + "summary_with_detail_1 = summarize(united_states_wikipedia_text, detail=1.0, verbose=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The original document is ~15k tokens long. Notice how large the gap is between the length of 'summary_pt0' and summary_pt10'" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": "[291, 681, 965, 1734, 3542, 4182]" + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# lengths of summaries\n", + "[len(tokenize(x)) for x in [summary_with_detail_0, summary_with_detail_pt1, summary_with_detail_pt2, summary_with_detail_pt4, summary_with_detail_pt8, summary_with_detail_1]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's inspect the summaries to get a feel for what that means." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The United States of America is a diverse country located in North America, with a population exceeding 334 million. It is a federation of 50 states, a federal capital district, and various territories. The country has a rich history, from the migration of Paleo-Indians over 12,000 years ago to the American Revolution and the Civil War. The U.S. emerged as a superpower after World War II and played a significant role in the Cold War era.\n", + "\n", + "The U.S. government is a presidential constitutional republic with three separate branches: legislative, executive, and judicial. The country has a strong emphasis on liberty, equality under the law, individualism, and limited government. Economically, the U.S. has the largest nominal GDP in the world and is a leader in economic competitiveness, innovation, and human rights. The U.S. is also a founding member of various international organizations.\n", + "\n", + "The U.S. has a rich cultural landscape, with influences from various ethnic groups and traditions. American literature, music, cinema, theater, and visual arts have made significant contributions to global culture. The country is known for its diverse cuisine, with dishes influenced by various immigrant groups. The U.S. also has a strong tradition in education, with a focus on higher learning and research.\n", + "\n", + "Overall, the United States is a country with a rich history, diverse culture, and significant global influence in various fields such as politics, economics, and the arts.\n" + ] + } + ], + "source": [ + "print(summary_with_detail_0)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The United States of America is a country located in North America, consisting of 50 states, a federal capital district, and various territories. It has a rich history, from the arrival of Paleo-Indians over 12,000 years ago to British colonization, the American Revolution, and the Civil War. The U.S. is a presidential constitutional republic with a strong emphasis on liberty, equality, and limited government. It is a global economic powerhouse, with the largest nominal GDP since 1890 and significant influence in international organizations. The country's history includes European colonization, conflicts with Native Americans, the Revolutionary War, and westward expansion. The U.S. Constitution, drafted in 1787, established a federal government with three branches and a system of checks and balances. The U.S. has played a significant role in world events, including World War II and the Cold War, emerging as a superpower after the collapse of the Soviet Union.\n", + "\n", + "The text discusses key events in American history from the Missouri Compromise to the rise of the United States as a superpower, the Cold War era, and contemporary history. It covers topics such as the Civil War, Reconstruction, post-Civil War era, immigration, industrialization, World Wars, Cold War, civil rights movement, and modern events like the September 11 attacks and the Great Recession. The text highlights significant developments in American society, politics, and economy over the years.\n", + "\n", + "The text discusses the geography, climate, biodiversity, conservation efforts, government and politics, political parties, subdivisions, and foreign relations of the United States. It highlights the country's physical features, climate diversity, environmental issues, governmental structure, political parties, state subdivisions, and diplomatic relations. The text also mentions the Capitol attack in January 2021 and the country's environmental commitments and challenges.\n", + "\n", + "The text discusses the United States' international relations, military capabilities, law enforcement, crime rates, economy, and scientific advancements. It highlights the country's membership in various international organizations, strong alliances with countries like the UK, Canada, and Japan, and its military spending and capabilities. The text also covers law enforcement agencies, incarceration rates, economic status as the world's largest economy, technological advancements, and scientific achievements, including the country's leadership in artificial intelligence and space exploration. Additionally, it addresses income inequality, poverty rates, and social welfare policies in the United States.\n", + "\n", + "The text provides information about various aspects of the United States, including its scientific and innovation rankings, energy consumption, transportation infrastructure, demographics, language diversity, immigration, religion, urbanization, and healthcare. The United States ranks high in scientific publications and patents, but also consumes a significant amount of fossil fuels and emits greenhouse gases. The country has a diverse population with various racial and ethnic groups, and English is the most commonly spoken language. Immigration plays a significant role in the U.S., with a large immigrant population. The country is religiously diverse, with a majority believing in a higher power. Urban areas are home to most Americans, with rapid population growth in many metropolitan areas. The U.S. has a complex healthcare system, with notable medical facilities like the Texas Medical Center in Houston.\n", + "\n", + "The text discusses various aspects of life in the United States, including changes in life expectancy, healthcare, education, culture, literature, and mass media. It mentions that life expectancy in the U.S. has fluctuated due to factors like the COVID-19 pandemic, opioid overdoses, and suicides. The U.S. healthcare system is criticized for its high spending and poor outcomes compared to other countries. The education system is decentralized, with high spending per student. The U.S. has a diverse culture and society, with strong protections for free speech and progressive attitudes towards human sexuality. American literature has a rich history, influenced by various movements and authors. The mass media landscape includes major broadcasters, cable television, radio, and newspapers with global reach.\n", + "\n", + "The text discusses various aspects of American culture, including alternative newspapers in major cities, popular websites, the video game market, theater, visual arts, music, fashion, cinema, and cuisine. It highlights the influence of American culture globally, such as in music, fashion, cinema, and cuisine. The text also mentions significant figures and events in American cultural history, such as the Tony Awards, Broadway theater, the Hudson River School, and the Golden Age of Hollywood. Additionally, it touches on the impact of American cuisine, the film industry, and the arts on both domestic and international audiences.\n", + "\n", + "The American fast-food industry, known for pioneering the drive-through format in the 1940s, is considered a symbol of U.S. marketing dominance. Major companies like McDonald's, Burger King, Pizza Hut, KFC, and Domino's Pizza have a global presence with numerous outlets worldwide.\n" + ] + } + ], + "source": [ + "print(summary_with_detail_pt2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that this utility also allows passing additional instructions." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5/5 [00:17<00:00, 3.54s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "- The USA is a federation of 50 states, a federal capital district, and 326 Indian reservations.\n", + "- It has sovereignty over five major unincorporated island territories and various uninhabited islands.\n", + "- The population of the USA exceeds 334 million.\n", + "- The USA has the world's third-largest land area and largest maritime exclusive economic zone.\n", + "- The USA has had the largest nominal GDP in the world since 1890 and accounted for over 25% of the global economy in 2023.\n", + "- The USA has the highest median income per capita of any non-microstate.\n", + "- The USA ranks high in economic competitiveness, productivity, innovation, human rights, and higher education.\n", + "- The USA is a founding member of various international organizations such as the World Bank, IMF, NATO, and the UN Security Council.\n", + "\n", + "- In the early 1960s, President Lyndon Johnson's Great Society plan led to groundbreaking laws and policies to counteract institutional racism.\n", + "- By 1985, the majority of women aged 16 and older in the US were employed.\n", + "- In the 1990s, the US saw the longest economic expansion in its history, with advances in technology such as the World Wide Web and gene therapy.\n", + "- The US spent $877 billion on its military in 2022, the largest amount globally, accounting for 39% of global military spending and 3.5% of the country's GDP.\n", + "- The US has the third-largest combined armed forces in the world, behind China and India.\n", + "- As of January 2023, the US had the sixth highest per-capita incarceration rate globally, with almost 2 million people incarcerated.\n", + "- The US had a nominal GDP of $27 trillion in 2023, constituting over 25% of the global economy.\n", + "\n", + "- Real compounded annual GDP growth in the US was 3.3%, compared to 2.3% for the rest of the Group of Seven.\n", + "- The US ranks first in the world by disposable income per capita and nominal GDP, second by GDP (PPP) after China, and ninth by GDP (PPP) per capita.\n", + "- The US has 136 of the world's 500 largest companies headquartered in the country.\n", + "- The US dollar is the most used currency in international transactions and is the world's foremost reserve currency.\n", + "- The US ranked second in the Global Competitiveness Report in 2019.\n", + "- The US is the second-largest manufacturing country after China as of 2021.\n", + "- The US has the highest average household and employee income among OECD member states.\n", + "- The US has 735 billionaires and nearly 22 million millionaires as of 2023.\n", + "- In 2022, there were about 582,500 sheltered and unsheltered homeless persons in the US.\n", + "- The US receives approximately 81% of its energy from fossil fuels.\n", + "- The US has the highest vehicle ownership per capita in the world, with 910 vehicles per 1000 people.\n", + "- The US has 333 incorporated municipalities with populations over 100,000.\n", + "- The average American life expectancy at birth was 77.5 years in 2022.\n", + "- Approximately one-third of the US adult population is obese, and another third is overweight.\n", + "- The US spends more on education per student than any other country in the world, averaging $12,794 per year per public elementary and secondary school student in 2016-2017.\n", + "\n", + "- The United States has the most Nobel Prize winners in history, with 411 awards won.\n", + "- American higher education is dominated by state university systems, with private universities enrolling about 20% of students.\n", + "- The U.S. spends more per student on higher education than the OECD average and all other nations in combined public and private spending.\n", + "- Student loan debt in the U.S. has increased by 102% in the last decade, exceeding 1.7 trillion dollars as of 2022.\n", + "- Americans donated 1.44% of total GDP to charity, the highest rate in the world.\n", + "- The U.S. has the world's largest music market with a total retail value of $15.9 billion in 2022.\n", + "- The U.S. restaurant industry was projected at $899 billion in sales for 2020, employing over 15 million people.\n", + "- The United States is home to over 220 Michelin Star rated restaurants, with 70 in New York City alone.\n", + "- California produces 84% of all US wine, making the U.S. the fourth-largest wine producing country in the world.\n", + "\n", + "- American companies with global presence include McDonald's, Burger King, Pizza Hut, Kentucky Fried Chicken, and Domino's Pizza\n", + "- These companies have numerous outlets around the world\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "summary_with_additional_instructions = summarize(united_states_wikipedia_text, detail=0.1, additional_instructions=\"Write in point form and focus on numerical data.\")\n", + "print(summary_with_additional_instructions)" + ] + }, + { + "cell_type": "markdown", + "source": [ + "Finally, note that the utility allows for recursive summarization, where each summary is based on the previous summaries, adding more context to the summarization process. This can be enabled by setting the `summarize_recursively` parameter to True. This is more computationally expensive, but can increase consistency and coherence of the combined summary." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": 18, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5/5 [00:12<00:00, 2.40s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The United States of America is a country located in North America with 50 states, a federal capital district, and various territories. It has a rich history, from early indigenous migrations to European colonization, the American Revolution, Civil War, and emergence as a global superpower. The U.S. government is a presidential constitutional republic with a strong emphasis on liberty, equality, and limited government. Economically, the U.S. is a powerhouse with a significant global influence. The country has been involved in major historical events such as World War II, the Cold War, and the civil rights movement.\n", + "\n", + "In the 1960s, the U.S. saw significant social changes with President Lyndon Johnson's Great Society plan addressing institutional racism, the counterculture movement influencing attitudes towards drug use and sexuality, and opposition to the Vietnam War. The 1980s and 1990s marked the end of the Cold War, solidifying the U.S. as a superpower. The 1990s saw economic growth, technological advancements, and the Gulf War. The 21st century brought challenges like the September 11 attacks, the Great Recession, and increased political polarization. The U.S. has diverse geography and climate, rich biodiversity, and faces environmental issues. The government is a federal republic with a strong system of checks and balances, and a two-party political system. The U.S. has a significant global presence in foreign relations, a powerful military, and law enforcement agencies. Economically, it is a leading global player with a diverse economy and the world's largest GDP.\n", + "\n", + "The text discusses the economic strength of the United States, highlighting its high GDP, disposable income per capita, and global economic influence. It mentions the dominance of the U.S. dollar in international transactions and its leading position in various economic sectors such as technology, finance, and manufacturing. The text also touches on income inequality, poverty rates, and social issues like homelessness and food insecurity in the country. Additionally, it covers the U.S.'s role in scientific innovation, energy consumption, transportation infrastructure, demographics, immigration, religion, urbanization, healthcare, and education.\n", + "\n", + "The text discusses various aspects of American culture and society, including education, literature, mass media, theater, visual arts, music, fashion, cinema, and cuisine. It highlights the country's achievements in education, with a global reputation for tertiary education and numerous top-ranking universities. The text also covers American values, ethnic diversity, free speech protections, and progressive attitudes towards human sexuality and LGBT rights. Additionally, it mentions the country's contributions to literature, mass media, theater, visual arts, music, and cuisine, showcasing its significant influence and global presence in these areas.\n", + "\n", + "American fast-food chains like McDonald's, Burger King, Pizza Hut, Kentucky Fried Chicken, and Domino's Pizza have a widespread global presence with numerous outlets worldwide.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "recursive_summary = summarize(united_states_wikipedia_text, detail=0.1, summarize_recursively=True, additional_instructions=\"Don't overuse repetitive phrases to introduce each section\")\n", + "print(recursive_summary)" + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": 17, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false + } + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/examples/data/united_states_wikipedia.txt b/examples/data/united_states_wikipedia.txt new file mode 100644 index 0000000..fab4ac3 --- /dev/null +++ b/examples/data/united_states_wikipedia.txt @@ -0,0 +1,377 @@ +The United States of America (USA or U.S.A.), commonly known as the United States (US or U.S.) or America, is a country primarily located in North America, between Canada and Mexico. It is a federation of 50 states, a federal capital district (Washington, D.C.), and 326 Indian reservations. Outside the union of states, it asserts sovereignty over five major unincorporated island territories and various uninhabited islands.[j] The country has the world's third-largest land area,[d] largest maritime exclusive economic zone, and the third-largest population, exceeding 334 million.[k] + +Paleo-Indians migrated across the Bering land bridge more than 12,000 years ago. British colonization led to the first settlement of the Thirteen Colonies in Virginia in 1607. Clashes with the British Crown over taxation and political representation sparked the American Revolution, with the Second Continental Congress formally declaring independence on July 4, 1776. Following its victory in the Revolutionary War (1775–1783), the country continued to expand across North America. As more states were admitted, sectional division over slavery led to the secession of the Confederate States of America, which fought the remaining states of the Union during the 1861–1865 American Civil War. With the Union's victory and preservation, slavery was abolished nationally. By 1900, the United States had become the world's largest economy and established itself as a great power. After Japan's attack on Pearl Harbor in December 1941, the U.S. entered World War II. The aftermath of the war left the U.S. and the Soviet Union as the world's two superpowers and led to the Cold War, during which both countries engaged in a struggle for ideological dominance and international influence. Following the Soviet Union's collapse and the end of the Cold War in 1991, the U.S. emerged as the world's sole superpower. + +The U.S. national government is a presidential constitutional republic and liberal democracy with three separate branches: legislative, executive, and judicial. It has a bicameral national legislature composed of the House of Representatives, a lower house based on population; and the Senate, an upper house based on equal representation for each state. Substantial autonomy is given to states and several territories, with a political culture that emphasizes liberty, equality under the law, individualism, and limited government. + +One of the most developed countries, the United States has had the largest nominal GDP in the world since 1890 and accounted for over 25% of the global economy (15% based on PPP) in 2023. It possesses by far the largest amount of wealth of any country and the highest median income per capita of any non-microstate. The U.S. ranks among the world's highest in economic competitiveness, productivity, innovation, human rights, and higher education. Its hard power and cultural influence have a global reach. The U.S. is a founding member of the World Bank, IMF, Organization of American States, NATO, Quad, World Health Organization, and a permanent member of the UN Security Council. + +Etymology +Further information: Names of the United States and Demonyms for the United States +The first documentary evidence of the phrase "United States of America" dates back to a letter from January 2, 1776, written by Stephen Moylan, a Continental Army aide to General George Washington, to Joseph Reed, Washington's aide-de-camp. Moylan expressed his desire to go "with full and ample powers from the United States of America to Spain" to seek assistance in the Revolutionary War effort.[20][21] The first known publication of the phrase "United States of America" was in an anonymous essay in The Virginia Gazette newspaper in Williamsburg, on April 6, 1776.[22] + +By June 1776, the name "United States of America" appeared in drafts of the Articles of Confederation and Perpetual Union, authored by John Dickinson, a Founding Father from the Province of Pennsylvania,[23][24] and in the Declaration of Independence, written primarily by Thomas Jefferson and adopted by the Second Continental Congress in Philadelphia, on July 4, 1776.[23][25] + +History +Main article: History of the United States +For a topical guide, see Outline of United States history. +Indigenous peoples +Further information: Native Americans in the United States and Pre-Columbian era + +Cliff Palace, built by Ancestral Puebloans in present-day Montezuma County, Colorado, between c. 1200 and 1275[26] +The first inhabitants of North America migrated from Siberia across the Bering land bridge at least 12,000 years ago;[27][28] the Clovis culture, which appeared around 11,000 BC, is believed to be the first widespread culture in the Americas.[29][30] Over time, indigenous North American cultures grew increasingly sophisticated, and some, such as the Mississippian culture, developed agriculture, architecture, and complex societies.[31] Indigenous peoples and cultures such as the Algonquian peoples,[32] Ancestral Puebloans,[33] and the Iroquois developed across the present-day United States.[34] Native population estimates of what is now the United States before the arrival of European immigrants range from around 500,000[35][36] to nearly 10 million.[36][37] + +European colonization +Main article: Colonial history of the United States +See also: European colonization of the Americas + +The 1750 colonial possessions of Britain (in pink and purple), France (in blue), and Spain (in orange) in present-day Canada and the United States +Christopher Columbus began exploring the Caribbean in 1492, leading to Spanish settlements in present-day Puerto Rico, Florida, and New Mexico.[38][39][40] France established its own settlements along the Mississippi River and Gulf of Mexico.[41] British colonization of the East Coast began with the Virginia Colony (1607) and Plymouth Colony (1620).[42][43] The Mayflower Compact and the Fundamental Orders of Connecticut established precedents for representative self-governance and constitutionalism that would develop throughout the American colonies.[44][45] While European settlers in what is now the United States experienced conflicts with Native Americans, they also engaged in trade, exchanging European tools for food and animal pelts.[46][l] Relations ranged from close cooperation to warfare and massacres. The colonial authorities often pursued policies that forced Native Americans to adopt European lifestyles, including conversion to Christianity.[50][51] Along the eastern seaboard, settlers trafficked African slaves through the Atlantic slave trade.[52] + +The original Thirteen Colonies[m] that would later found the United States were administered by Great Britain,[53] and had local governments with elections open to most white male property owners.[54][55] The colonial population grew rapidly, eclipsing Native American populations;[56] by the 1770s, the natural increase of the population was such that only a small minority of Americans had been born overseas.[57] The colonies' distance from Britain allowed for the development of self-governance,[58] and the First Great Awakening—a series of Christian revivals—fueled colonial interest in religious liberty.[59] + +Revolution and expansion (1776–1861) +Further information: History of the United States (1776–1789), History of the United States (1789–1815), and History of the United States (1815–1849) +See caption +Declaration of Independence, a portrait by John Trumbull depicting the Committee of Five presenting the draft of the Declaration to the Continental Congress on June 28, 1776, in Philadelphia +After winning the French and Indian War, Britain began to assert greater control over local colonial affairs, creating colonial political resistance; one of the primary colonial grievances was a denial of their rights as Englishmen, particularly the right to representation in the British government that taxed them. In 1774, the First Continental Congress met in Philadelphia, and passed a colonial boycott of British goods that proved effective. The British attempt to then disarm the colonists resulted in the 1775 Battles of Lexington and Concord, igniting the American Revolutionary War. At the Second Continental Congress, the colonies appointed George Washington commander-in-chief of the Continental Army and created a committee led by Thomas Jefferson to write the Declaration of Independence, adopted on July 4, 1776.[60] The political values of the American Revolution included liberty, inalienable individual rights; and the sovereignty of the people;[61] supporting republicanism and rejecting monarchy, aristocracy, and hereditary political power; virtue and faithfulness in the performance of civic duties; and vilification of corruption.[62] The Founding Fathers of the United States, which included George Washington, Benjamin Franklin, Alexander Hamilton, Thomas Jefferson, John Jay, James Madison, Thomas Paine, and John Adams, took inspiration from Ancient Greco-Roman, Renaissance, and Age of Enlightenment philosophies and ideas.[63][64] + +After the British surrender at the siege of Yorktown in 1781, American sovereignty was internationally recognized by the Treaty of Paris (1783), through which the U.S. gained territory stretching west to the Mississippi River, north to present-day Canada, and south to Spanish Florida.[65] Ratified in 1781, the Articles of Confederation established a decentralized government that operated until 1789.[60] The Northwest Ordinance (1787) established the precedent by which the country's territory would expand with the admission of new states, rather than the expansion of existing states.[66] The U.S. Constitution was drafted at the 1787 Constitutional Convention to overcome the limitations of the Articles; it went into effect in 1789, creating a federation administered by three branches on the principle of checks and balances.[67] Washington was elected the country's first president under the Constitution, and the Bill of Rights was adopted in 1791 to allay concerns by skeptics of the more centralized government;[68][69] his resignations first as commander-in-chief after the Revolution and later as president set a precedent followed by John Adams, establishing the peaceful transfer of power between rival parties.[70][71] + + +Animation showing the free/slave status of U.S. states and territories expansion, 1789–1861 +In the late 18th century, American settlers began to expand westward, some with a sense of manifest destiny.[72] The Louisiana Purchase (1803) from France nearly doubled the territory of the United States.[73] Lingering issues with Britain remained, leading to the War of 1812, which was fought to a draw.[74] Spain ceded Florida and its Gulf Coast territory in 1819.[75] The Missouri Compromise attempted to balance desires of northern states to prevent expansion of slavery in the country with those of southern states to expand it, admitting Missouri as a slave state and Maine as a free state and declared a policy of prohibiting slavery in the remaining Louisiana Purchase lands north of the 36°30′ parallel.[76] As Americans expanded further into land inhabited by Native Americans, the federal government often applied policies of Indian removal or assimilation.[77][78] The infamous Trail of Tears (1830–1850) was a U.S. government policy that forcibly removed and displaced most Native Americans living east of the Mississippi River to lands far to the west. These and earlier organized displacements prompted a long series of American Indian Wars west of the Mississippi.[79][80] The Republic of Texas was annexed in 1845,[81] and the 1846 Oregon Treaty led to U.S. control of the present-day American Northwest.[82] Victory in the Mexican–American War resulted in the 1848 Mexican Cession of California and much of the present-day American Southwest.[72][83] The California Gold Rush of 1848–1849 spurred a huge migration of white settlers to the Pacific coast, leading to even more confrontations with Native populations. One of the most violent, the California genocide of thousands of Native inhabitants, lasted into the early 1870s,[84][85] just as additional western territories and states were created.[86] + +Civil War (1861–1865) +Main articles: History of the United States (1849–1865) and American Civil War + +Division of the states during the American Civil War: + Union states + Border states + Confederate states + Territories +During the colonial period, slavery was legal in the American colonies, though the practice began to be significantly questioned during the American Revolution.[87] States in The North enacted abolition laws,[88] though support for slavery strengthened in Southern states, as inventions such as the cotton gin made the institution increasingly profitable for Southern elites.[89][90][91] This sectional conflict regarding slavery culminated in the American Civil War (1861–1865).[92][93] + +Eleven slave states seceded and formed the Confederate States of America, while the other states remained in the Union.[94] War broke out in April 1861 after the Confederacy bombarded Fort Sumter.[95] After the January 1863 Emancipation Proclamation, many freed slaves joined the Union Army.[96] The war began to turn in the Union's favor following the 1863 Siege of Vicksburg and Battle of Gettysburg, and the Confederacy surrendered in 1865 after the Union's victory in the Battle of Appomattox Court House.[97] + +The Reconstruction era followed the war. After the assassination of President Abraham Lincoln, Reconstruction Amendments were passed to protect the rights of African Americans. National infrastructure, including transcontinental telegraph and railroads, spurred growth in the American frontier.[98] + +Post-Civil War era (1865–1898) +Main article: History of the United States (1865–1917) +Duration: 2 minutes and 27 seconds.2:27 +An Edison Studios film showing immigrants arriving at Ellis Island in New York Harbor, a major point of entry for European immigrants in the late 19th and early 20th centuries[99][100] +From 1865 through 1917 an unprecedented stream of immigrants arrived in the United States, including 24.4 million from Europe.[101] Most came through the port of New York City, and New York City and other large cities on the East Coast became home to large Jewish, Irish, and Italian populations, while many Germans and Central Europeans moved to the Midwest. At the same time, about one million French Canadians migrated from Quebec to New England.[102] During the Great Migration, millions of African Americans left the rural South for urban areas in the North.[103] Alaska was purchased from Russia in 1867.[104] + +The Compromise of 1877 effectively ended Reconstruction and white supremacists took local control of Southern politics.[105][106] African Americans endured a period of heightened, overt racism following Reconstruction, a time often called the nadir of American race relations.[107][108] A series of Supreme Court decisions, including Plessy v. Ferguson, emptied the Fourteenth and Fifteenth Amendments of their force, allowing Jim Crow laws in the South to remain unchecked, sundown towns in the Midwest, and segregation in cities across the country, which would be reinforced by the policy of redlining later adopted by the federal Home Owners' Loan Corporation.[109] + +An explosion of technological advancement accompanied by the exploitation of cheap immigrant labor[110] led to rapid economic development during the late 19th and early 20th centuries, allowing the United States to outpace England, France, and Germany combined.[111][112] This fostered the amassing of power by a few prominent industrialists, largely by their formation of trusts and monopolies to prevent competition.[113] Tycoons led the nation's expansion in the railroad, petroleum, and steel industries. The United States emerged as a pioneer of the automotive industry.[114] These changes were accompanied by significant increases in economic inequality, slum conditions, and social unrest, creating the environment for labor unions to begin to flourish.[115][116][117] This period eventually ended with the advent of the Progressive Era, which was characterized by significant reforms.[118][119] + +Rise as a superpower (1898–1945) +Main article: History of the United States (1917–1945) + +The Trinity nuclear test in 1945, part of the Manhattan Project and the first detonation of a nuclear weapon. The World Wars permanently ended the country's policy of isolationism and left it as a world superpower. +Pro-American elements in Hawaii overthrew the Hawaiian monarchy; the islands were annexed in 1898. Puerto Rico, Guam, and the Philippines were ceded by Spain following the Spanish–American War.[120] American Samoa was acquired by the United States in 1900 after the Second Samoan Civil War.[121] The U.S. Virgin Islands were purchased from Denmark in 1917.[122] The United States entered World War I alongside the Allies of World War I, helping to turn the tide against the Central Powers.[123] In 1920, a constitutional amendment granted nationwide women's suffrage.[124] During the 1920s and 30s, radio for mass communication and the invention of early television transformed communications nationwide.[125] The Wall Street Crash of 1929 triggered the Great Depression, which President Franklin D. Roosevelt responded to with New Deal social and economic policies.[126][127] + +At first neutral during World War II, the U.S. began supplying war materiel to the Allies of World War II in March 1941 and entered the war in December after the Empire of Japan's attack on Pearl Harbor.[128][129] The U.S. developed the first nuclear weapons and used them against the Japanese cities of Hiroshima and Nagasaki in August 1945, ending the war.[130][131] The United States was one of the "Four Policemen" who met to plan the postwar world, alongside the United Kingdom, Soviet Union, and China.[132][133] The U.S. emerged relatively unscathed from the war, with even greater economic and international political influence.[134] + +Cold War (1945–1991) +Main articles: History of the United States (1945–1964), History of the United States (1964–1980), and History of the United States (1980–1991) + +Mikhail Gorbachev and Ronald Reagan sign the Intermediate-Range Nuclear Forces Treaty at the White House, 1987. +After World War II, the United States entered the Cold War, where geopolitical tensions between the U.S. and the Soviet Union led the two countries to dominate world affairs.[135] The U.S. engaged in regime change against governments perceived to be aligned with the Soviet Union, and competed in the Space Race, culminating in the first crewed Moon landing in 1969.[136][137][138][139] + +Domestically, the U.S. experienced economic growth, urbanization, and population growth following World War II.[140] The civil rights movement emerged, with Martin Luther King Jr. becoming a prominent leader in the early 1960s.[141] The Great Society plan of President Lyndon Johnson's administration resulted in groundbreaking and broad-reaching laws, policies and a constitutional amendment to counteract some of the worst effects of lingering institutional racism.[142] The counterculture movement in the U.S. brought significant social changes, including the liberalization of attitudes toward recreational drug use and sexuality. It also encouraged open defiance of the military draft (leading to the end of conscription in 1973) and wide opposition to U.S. intervention in Vietnam (with the U.S. totally withdrawing in 1975).[143][144][145] The societal shift in the roles of women partly resulted in large increases in female labor participation in the 1970s, and by 1985 the majority of women aged 16 and older were employed.[146] The late 1980s and early 1990s saw the collapse of the Warsaw Pact and the dissolution of the Soviet Union, which marked the end of the Cold War and solidified the U.S. as the world's sole superpower.[147][148][149][150] + +Contemporary (1991–present) +Main articles: History of the United States (1991–2008) and History of the United States (2008–present) + +The Twin Towers in New York City during the September 11 attacks of 2001 +The 1990s saw the longest recorded economic expansion in American history, a dramatic decline in crime, and advances in technology, with the World Wide Web, the evolution of the Pentium microprocessor in accordance with Moore's law, rechargeable lithium-ion batteries, the first gene therapy trial, and cloning all emerging and being improved upon throughout the decade. The Human Genome Project was formally launched in 1990, while Nasdaq became the first stock market in the United States to trade online in 1998.[151] In 1991, an American-led international coalition of states expelled an Iraqi invasion force from Kuwait in the Gulf War.[152] + +The September 11, 2001 attacks by the pan-Islamist militant organization Al-Qaeda led to the war on terror and subsequent military interventions in Afghanistan and Iraq.[153][154] The cultural impact of the attacks was profound and long-lasting. + +The U.S. housing bubble culminated in 2007 with the Great Recession, the largest economic contraction since the Great Depression.[155] Coming to a head in the 2010s, political polarization increased as sociopolitical debates on cultural issues dominated politics.[156] This polarization was capitalized upon in the January 2021 Capitol attack,[157] when a mob of protesters entered the U.S. Capitol building and attempted to prevent the peaceful transfer of power.[158] + +Geography +Main articles: Geography of the United States and Borders of the United States + +A topographic map of the United States +The United States is the world's third-largest country by land and total area behind Russia and Canada.[d][159][160] The 48 contiguous states and the District of Columbia occupy a combined area of 3,119,885 square miles (8,080,470 km2).[161][162] The coastal plain of the Atlantic seaboard gives way to inland forests and rolling hills in the Piedmont plateau region.[163] + +The Appalachian Mountains and the Adirondack massif separate the East Coast from the Great Lakes and the grasslands of the Midwest.[164] The Mississippi River System—the world's fourth longest river system—runs mainly north–south through the heart of the country. The flat, fertile prairie of the Great Plains stretches to the west, interrupted by a highland region in the southeast.[164] + +The Rocky Mountains, west of the Great Plains, extend north to south across the country, peaking at over 14,000 feet (4,300 m) in Colorado.[165] Farther west are the rocky Great Basin and Chihuahua, Sonoran, and Mojave deserts.[166] The Sierra Nevada and Cascade mountain ranges run close to the Pacific coast. The lowest and highest points in the contiguous United States are in the state of California,[167] about 84 miles (135 km) apart.[168] At an elevation of 20,310 feet (6,190.5 m), Alaska's Denali is the highest peak in the country and continent.[169] Active volcanoes are common throughout Alaska's Alexander and Aleutian Islands, and Hawaii consists of volcanic islands. The supervolcano underlying Yellowstone National Park in the Rockies is the continent's largest volcanic feature.[170] In 2021, the United States had 8% of global permanent meadows and pastures and 10% of cropland.[171] + +Climate +Main articles: Climate of the United States and Climate change in the United States + +The Köppen climate types of the United States +With its large size and geographic variety, the United States includes most climate types. East of the 100th meridian, the climate ranges from humid continental in the north to humid subtropical in the south.[172] The western Great Plains are semi-arid. Many mountainous areas of the American West have an alpine climate. The climate is arid in the Southwest, Mediterranean in coastal California, and oceanic in coastal Oregon, Washington, and southern Alaska. Most of Alaska is subarctic or polar. Hawaii and the southern tip of Florida are tropical, as well as its territories in the Caribbean and the Pacific.[173] + +States bordering the Gulf of Mexico are prone to hurricanes, and most of the world's tornadoes occur in the country, mainly in Tornado Alley.[174] Overall, the United States receives more high-impact extreme weather incidents than any other country.[175] Extreme weather became more frequent in the U.S. in the 21st century, with three times the number of reported heat waves as in the 1960s. In the American Southwest, droughts became more persistent and more severe.[176] + +Biodiversity and conservation +Main articles: Fauna of the United States and Flora of the United States + +A bald eagle +The bald eagle, the national bird of the United States since 1782[177] +The U.S. is one of 17 megadiverse countries containing large numbers of endemic species: about 17,000 species of vascular plants occur in the contiguous United States and Alaska, and over 1,800 species of flowering plants are found in Hawaii, few of which occur on the mainland.[178] The United States is home to 428 mammal species, 784 birds, 311 reptiles, 295 amphibians,[179] and 91,000 insect species.[180] + +There are 63 national parks, and hundreds of other federally managed parks, forests, and wilderness areas, managed by the National Park Service and other agencies.[181] About 28% of the country's land is publicly owned and federally managed,[182] primarily in the western states.[183] Most of this land is protected, though some is leased for commercial use, and less than one percent is used for military purposes.[184][185] + +Environmental issues in the United States include debates on non-renewable resources and nuclear energy, air and water pollution, biodiversity, logging and deforestation,[186][187] and climate change.[188][189] The U.S. Environmental Protection Agency (EPA) is the federal agency charged with addressing most environmental-related issues.[190] The idea of wilderness has shaped the management of public lands since 1964, with the Wilderness Act.[191] The Endangered Species Act of 1973 provides a way to protect threatened and endangered species and their habitats. The United States Fish and Wildlife Service implements and enforces the Act.[192] As of 2022, the U.S. ranked 43rd among 180 countries in the Environmental Performance Index.[193] The country joined the Paris Agreement on climate change in 2016 and has many other environmental commitments.[194] + +Government and politics +Main articles: Constitution of the United States and Politics of the United States +Further information: Elections in the United States, Political ideologies in the United States, Americanism (ideology), and American civil religion + +The Capitol and its two legislative chambers, the Senate (left) and the House of Representatives (right) + +The White House, the residence and workplace of the U.S. president and the offices of the presidential staff + +The Supreme Court Building, which houses the nation's highest court +The United States is a federal republic of 50 states, with its capital in a federal district, asserting sovereignty over five unincorporated territories and several uninhabited island possessions (some of which are disputed).[195][196] It is the world's oldest surviving federation, and, according to the World Economic Forum, the oldest democracy as well.[197] It is a liberal representative democracy "in which majority rule is tempered by minority rights protected by law."[198] The Constitution of the United States serves as the country's supreme legal document, also establishing the structure and responsibilities of the national federal government and its relationship with the individual states.[199] + +National government +Main article: Federal government of the United States +Comprised of three branches, all headquartered in Washington, D.C., the federal government is the national government of the United States. It is regulated by a strong system of checks and balances.[200] + +The U.S. Congress, a bicameral legislature, made up of the Senate and the House of Representatives, makes federal law, declares war, approves treaties, has the power of the purse,[201] and has the power of impeachment.[202] The Senate has 100 members (2 from each state), elected for a six-year term. The House of Representatives has 435 members from single member congressional districts allocated to each state on the basis of population, elected for a two-year term.[203] +The U.S. president is the commander-in-chief of the military, can veto legislative bills before they become law (subject to congressional override), and appoints the members of the Cabinet (subject to Senate approval) and other officials, who administer and enforce federal laws and policies through their respective agencies.[204] The president and the vice president run and are elected together in a presidential election. Unlike any others in American politics, it is an indirect election, with the winner being determined by votes cast by electors of the Electoral College. The President and Vice President serve a four-year term and may be elected to the office no more than twice.[205] +The U.S. federal judiciary, whose judges are all appointed for life by the President with Senate approval, consists primarily of the U.S. Supreme Court, the U.S. courts of appeals, and the U.S. district courts. The U.S. Supreme Court interprets laws and overturn those they find unconstitutional.[206] The Supreme Court is led by the Chief Justice of the United States. It has nine members who serve for life. The members are appointed by the sitting president when a vacancy becomes available.[207] +The three-branch system is known as the presidential system, in contrast to the parliamentary system, where the executive is part of the legislative body. Many countries around the world copied this aspect of the 1789 Constitution of the United States, especially in the Americas.[208] + +Political parties +Main articles: Political parties in the United States, Political party strength in U.S. states, and List of political parties in the United States + +U.S. state governments (governor and legislature) by party control: + Democratic control + Republican control + Split control +The Constitution is silent on political parties. However, they developed independently in the 18th century with the Federalist and Anti-Federalist parties.[209] Since then, the United States has operated as a de facto two-party system, though the parties in that system have been different at different times. + +The two main national parties are presently the Democratic and the Republican. The former is perceived as relatively liberal in its political platform while the latter is perceived as relatively conservative.[210] Each has a primary system to nominate a presidential ticket, and each runs candidates for other offices in every state in the Union. Other smaller and less influential parties exist but do not have the national scope and breadth of the two main parties. + +Subdivisions +Main articles: State governments of the United States, Local government in the United States, and U.S. state +Further information: List of states and territories of the United States, Indian reservation, Territories of the United States, and Territorial evolution of the United States +In the American federal system, sovereign powers are shared between two levels of elected government: national and state. People in the states are also represented by local elected governments, which are administrative divisions of the states.[211] States are subdivided into counties or county equivalents, and further divided into municipalities. The District of Columbia is a federal district that contains the capital of the United States, the city of Washington.[212] The territories and the District of Columbia are administrative divisions of the federal government.[213] + + +Foreign relations +Main articles: Foreign relations of the United States and Foreign policy of the United States +see caption +The United Nations headquarters has been situated along the East River in Midtown Manhattan since 1952; in 1945, the United States was a founding member of the UN. +The United States has an established structure of foreign relations, and it has the world's second-largest diplomatic corps as of 2024. It is a permanent member of the United Nations Security Council,[214] and home to the United Nations headquarters.[215] The United States is a member of the G7,[216] G20,[217] and OECD intergovernmental organizations.[218] Almost all countries have embassies and many have consulates (official representatives) in the country. Likewise, nearly all countries host formal diplomatic missions with the United States, except Iran,[219] North Korea,[220] and Bhutan.[221] Though Taiwan does not have formal diplomatic relations with the U.S., it maintains close unofficial relations.[222] The United States regularly supplies Taiwan with military equipment to deter potential Chinese aggression.[223] Its geopolitical attention also turned to the Indo-Pacific when the United States joined the Quadrilateral Security Dialogue with Australia, India, and Japan.[224] + +The United States has a "Special Relationship" with the United Kingdom[225] and strong ties with Canada,[226] Australia,[227] New Zealand,[228] the Philippines,[229] Japan,[230] South Korea,[231] Israel,[232] and several European Union countries (France, Italy, Germany, Spain, and Poland).[233] The U.S. works closely with its NATO allies on military and national security issues, and with countries in the Americas through the Organization of American States and the United States–Mexico–Canada Free Trade Agreement. In South America, Colombia is traditionally considered to be the closest ally of the United States.[234] The U.S. exercises full international defense authority and responsibility for Micronesia, the Marshall Islands, and Palau through the Compact of Free Association.[235] It has increasingly conducted strategic cooperation with India,[236] but its ties with China have steadily deteriorated.[237][238] Since 2014, the U.S. has become a key ally of Ukraine;[239] it has also provided the country with significant military equipment and other support in response to Russia's 2022 invasion.[240] + +Military +Main articles: United States Armed Forces and Military history of the United States + +The Pentagon, the headquarters of the U.S. Department of Defense in Arlington County, Virginia, is one of the world's largest office buildings with about 6.5 million square feet (600,000 m2) of floor space. +The President is the commander-in-chief of the United States Armed Forces and appoints its leaders, the secretary of defense and the Joint Chiefs of Staff. The Department of Defense, which is headquartered at the Pentagon near Washington, D.C., administers five of the six service branches, which are made up of the Army, Marine Corps, Navy, Air Force, and Space Force. The Coast Guard is administered by the Department of Homeland Security in peacetime and can be transferred to the Department of the Navy in wartime.[241] + +The United States spent $877 billion on its military in 2022, which is by far the largest amount of any country, making up 39% of global military spending and accounting for 3.5% of the country's GDP.[242][243] The U.S. has 45% of the world's nuclear weapons, the second-largest amount after Russia.[244] + +The United States has the third-largest combined armed forces in the world, behind the Chinese People's Liberation Army and Indian Armed Forces.[245] The military operates about 800 bases and facilities abroad,[246] and maintains deployments greater than 100 active duty personnel in 25 foreign countries.[247] + +Law enforcement and crime +Main articles: Law of the United States, Law enforcement in the United States, Crime in the United States, and Censorship in the United States + +J. Edgar Hoover Building, the headquarters of the Federal Bureau of Investigation (FBI), in Washington, D.C. +There are about 18,000 U.S. police agencies from local to national level in the United States.[248] Law in the United States is mainly enforced by local police departments and sheriff departments in their municipal or county jurisdictions. The state police departments have authority in their respective state, and federal agencies such as the Federal Bureau of Investigation (FBI) and the U.S. Marshals Service have national jurisdiction and specialized duties, such as protecting civil rights, national security and enforcing U.S. federal courts' rulings and federal laws.[249] State courts conduct most civil and criminal trials,[250] and federal courts handle designated crimes and appeals of state court decisions.[251] + +As of January 2023, the United States has the sixth highest per-capita incarceration rate in the world, at 531 people per 100,000; and the largest prison and jail population in the world with almost 2 million people incarcerated.[252][253][254] An analysis of the World Health Organization Mortality Database from 2010 showed U.S. homicide rates "were 7 times higher than in other high-income countries, driven by a gun homicide rate that was 25 times higher."[255] + +Economy +Main article: Economy of the United States +Further information: Economic history of the United States and Tourism in the United States +see caption +The U.S. dollar, most-used currency in international transactions and the world's foremost reserve currency[256] + +Microsoft campus, in Redmond, Washington, is the headquarters of Microsoft, the world's biggest company by market capitalization.[257] +The U.S. has been the world's largest economy nominally since about 1890.[258] The 2023 nominal U.S. gross domestic product (GDP) of $27 trillion was the largest in the world, constituting over 25% of the global economy or 15% at purchasing power parity (PPP).[259][13] From 1983 to 2008, U.S. real compounded annual GDP growth was 3.3%, compared to a 2.3% weighted average for the rest of the Group of Seven.[260] The country ranks first in the world by disposable income per capita and nominal GDP;[261] second by GDP (PPP), after China;[13] and ninth by GDP (PPP) per capita.[13] + +Of the world's 500 largest companies, 136 are headquartered in the U.S.[262] The U.S. dollar is the currency most used in international transactions and is the world's foremost reserve currency, backed by the country's dominant economy, its military, the petrodollar system, and its linked eurodollar and large U.S. treasuries market.[256] Several countries use it as their official currency and in others it is the de facto currency.[263][264] It has free trade agreements with several countries, including the USMCA.[265] The U.S. ranked second in the Global Competitiveness Report in 2019, after Singapore.[266] While its economy has reached a post-industrial level of development, the United States remains an industrial power.[267] As of 2021, the U.S. is the second-largest manufacturing country after China.[268] + + +The New York Stock Exchange on Wall Street, the world's largest stock exchange by market capitalization[269] +New York City is the world's principal financial center[270][271] and the epicenter of the world's largest metropolitan economy.[272] The New York Stock Exchange and Nasdaq, both located in New York City, are the world's two largest stock exchanges by market capitalization and trade volume.[273][274] The United States is at or near the forefront of technological advancement and innovation[275] in many economic fields, especially in artificial intelligence; computers; pharmaceuticals; and medical, aerospace and military equipment.[276] The country's economy is fueled by abundant natural resources, a well-developed infrastructure, and high productivity.[277] The largest U.S. trading partners are the European Union, Mexico, Canada, China, Japan, South Korea, the United Kingdom, Vietnam, India, and Taiwan.[278] The United States is the world's largest importer and the second-largest exporter after China.[279] It is by far the world's largest exporter of services.[280] + +Americans have the highest average household and employee income among OECD member states,[281] and the fourth-highest median household income,[282] up from sixth-highest in 2013.[283] Wealth in the United States is highly concentrated; the richest 10% of the adult population own 72% of the country's household wealth, while the bottom 50% own just 2%.[284] Income inequality in the U.S. remains at record highs,[285] with the top fifth of earners taking home more than half of all income[286] and giving the U.S. one of the widest income distributions among OECD members.[287][288] The U.S. ranks first in the number of dollar billionaires and millionaires, with 735 billionaires and nearly 22 million millionaires (as of 2023).[289] There were about 582,500 sheltered and unsheltered homeless persons in the U.S. in 2022, with 60% staying in an emergency shelter or transitional housing program.[290] In 2018, six million children experienced food insecurity.[291] Feeding America estimates that around one in seven, or approximately 11 million, children experience hunger and do not know where they will get their next meal or when.[292] As of 2021, 38 million people, about 12% of the U.S. population, were living in poverty.[293] + +The United States has a smaller welfare state and redistributes less income through government action than most other high-income countries.[294][295] It is the only advanced economy that does not guarantee its workers paid vacation nationally[296] and is one of a few countries in the world without federal paid family leave as a legal right.[297] The United States has a higher percentage of low-income workers than almost any other developed country, largely because of a weak collective bargaining system and lack of government support for at-risk workers.[298] + +Science, technology, and energy +Main articles: Science and technology in the United States, Science policy of the United States, Communications in the United States, and Energy in the United States + +U.S. astronaut Buzz Aldrin saluting the American flag on the Moon during the 1969 Apollo 11 mission; the United States is the only country that has landed crews on the lunar surface. +The United States has been a leader in technological innovation since the late 19th century and scientific research since the mid-20th century. Methods for producing interchangeable parts and the establishment of a machine tool industry enabled the large-scale manufacturing of U.S. consumer products in the late 19th century. By the early 20th century, factory electrification, the introduction of the assembly line, and other labor-saving techniques created the system of mass production.[299] The United States is a leader in the development of artificial intelligence technology and has maintained a space program since the late 1950s, with plans for long-term habitation of the Moon.[300][301] + +In 2022, the United States was the country with the second-highest number of published scientific papers.[302] As of 2021, the U.S. ranked second by the number of patent applications, and third by trademark and industrial design applications.[303] In 2023, the United States ranked 3rd in the Global Innovation Index.[304] + +As of 2022, the United States receives approximately 81% of its energy from fossil fuel and the largest source of the country's energy came from petroleum (35.8%), followed by natural gas (33.4%), renewable sources (13.3%), coal (9.8%), and nuclear power (8%).[305][306] The United States constitutes less than 5% of the world's population, but consumes 17% of the world's energy.[307][308] The U.S. ranks as the second-highest emitter of greenhouse gases.[309] + +Transportation +Main article: Transportation in the United States + +Hartsfield–Jackson Atlanta International Airport, serving the Atlanta metropolitan area, is the world's busiest airport by passenger traffic with over 93 million passengers annually in 2022.[310] +Personal transportation in the United States is dominated by automobiles,[311][312] which operate on a network of 4 million miles (6.4 million kilometers) of public roads, making it the longest network in the world.[313][314] The Oldsmobile Curved Dash and the Ford Model T, both American cars, are considered the first mass-produced[315] and mass-affordable[316] cars, respectively. As of 2022, the United States is the second-largest manufacturer of motor vehicles[317] and is home to Tesla, the world's most valuable car company.[318] American automotive company General Motors held the title of the world's best-selling automaker from 1931 to 2008.[319] Currently, the American automotive industry is the world's second-largest automobile market by sales,[320] and the U.S. has the highest vehicle ownership per capita in the world,[321] with 910 vehicles per 1000 people.[322] The United States's rail transport network, the longest network in the world,[323] handles mostly freight.[324][325] + +The American civil airline industry is entirely privately owned and has been largely deregulated since 1978, while most major airports are publicly owned.[326] The three largest airlines in the world by passengers carried are U.S.-based; American Airlines is number one after its 2013 acquisition by US Airways.[327] Of the world's 50 busiest passenger airports, 16 are in the United States, including the top five and the busiest, Hartsfield–Jackson Atlanta International Airport.[328][329] As of 2022, there are 19,969 airports in the U.S., of which 5,193 are designated as "public use", including for general aviation and other activities.[330] + +Of the fifty busiest container ports, four are located in the United States, of which the busiest is the Port of Los Angeles.[331] The country's inland waterways are the world's fifth-longest, and total 41,009 km (25,482 mi).[332] + +Demographics +Main article: Demographics of the United States +Population +Main articles: Americans and Race and ethnicity in the United States +See also: List of U.S. states by population + +As of 2020, the majority of the U.S. population lived in suburbs. Above: Nassau County, New York on Long Island, immediately east of New York City. +The U.S. Census Bureau reported 331,449,281 residents as of April 1, 2020,[n][333] making the United States the third-most-populous country in the world, after China and India.[334] According to the Bureau's U.S. Population Clock, on January 28, 2021, the U.S. population had a net gain of one person every 100 seconds, or about 864 people per day.[335] In 2018, 52% of Americans age 15 and over were married, 6% were widowed, 10% were divorced, and 32% had never been married.[336] In 2021, the total fertility rate for the U.S. stood at 1.7 children per woman,[337] and it had the world's highest rate of children (23%) living in single-parent households in 2019.[338] + +The United States has a diverse population; 37 ancestry groups have more than one million members.[339] White Americans with ancestry from Europe, the Middle East or North Africa, form the largest racial and ethnic group at 57.8% of the United States population.[340][341] Hispanic and Latino Americans form the second-largest group and are 18.7% of the United States population. African Americans constitute the country's third-largest ancestry group and are 12.1% of the total U.S. population.[339] Asian Americans are the country's fourth-largest group, composing 5.9% of the United States population, while the country's 3.7 million Native Americans account for about 1%.[339] In 2020, the median age of the United States population was 38.5 years.[334] + +Language +Main article: Languages of the United States + +Most spoken languages in the U.S. +While many languages are spoken in the United States, English is by far the most commonly spoken and written.[342] Although there is no official language at the federal level, some laws, such as U.S. naturalization requirements, standardize English, and most states have declared it the official language.[343] Three states and four U.S. territories have recognized local or indigenous languages in addition to English, including Hawaii (Hawaiian),[344] Alaska (twenty Native languages),[o][345] South Dakota (Sioux),[346] American Samoa (Samoan), Puerto Rico (Spanish), Guam (Chamorro), and the Northern Mariana Islands (Carolinian and Chamorro). In Puerto Rico, Spanish is more widely spoken than English.[347] + +According to the American Community Survey in 2010, some 229 million people out of the total U.S. population of 308 million spoke only English at home. About 37 million spoke Spanish at home, making it the second most commonly used language. Other languages spoken at home by one million people or more include Chinese (2.8 million), Tagalog (1.6 million), Vietnamese (1.4 million), French (1.3 million), Korean (1.1 million), and German (1 million).[348] + +Immigration +Main articles: Immigration to the United States and United States Border Patrol + +Mexico–United States border wall between San Diego (left) and Tijuana (right) +America's immigrant population, 51 million, is by far the world's largest in absolute terms.[349][350] In 2022, there were 87.7 million immigrants and U.S.-born children of immigrants in the United States, accounting for nearly 27% of the overall U.S. population.[351] In 2017, out of the U.S. foreign-born population, some 45% (20.7 million) were naturalized citizens, 27% (12.3 million) were lawful permanent residents, 6% (2.2 million) were temporary lawful residents, and 23% (10.5 million) were unauthorized immigrants.[352] In 2019, the top countries of origin for immigrants were Mexico (24% of immigrants), India (6%), China (5%), the Philippines (4.5%), and El Salvador (3%).[353] The United States has led the world in refugee resettlement for decades, admitting more refugees than the rest of the world combined.[354] + +Religion +Main articles: Religion in the United States and Irreligion in the United States +See also: List of religious movements that began in the United States +Religious affiliation in the U.S., according to a 2022 Gallup poll:[7] + + Protestantism (34%) + Catholicism (23%) + Non-specific Christian (11%) + Mormonism (2%) + Judaism (2%) + Other religions (6%) + Unaffiliated (21%) + Unanswered (1%) +The First Amendment guarantees the free exercise of religion and forbids Congress from passing laws respecting its establishment.[355][356] Religious practice is widespread, among the most diverse in the world,[357] and profoundly vibrant.[358] The country has the world's largest Christian population.[359] A majority of the global Jewish population lives in the United States, as measured by the Law of Return.[360] Other notable faiths include Buddhism, Hinduism, Islam, many New Age movements, and Native American religions.[361] Religious practice varies significantly by region.[362] "Ceremonial deism" is common in American culture.[363] + +The overwhelming majority of Americans believe in a higher power or spiritual force, engage in spiritual practices such as prayer, and consider themselves religious or spiritual.[364][365] In the "Bible Belt", located within the Southern United States, evangelical Protestantism plays a significant role culturally, whereas New England and the Western United States tend to be more secular.[362] Mormonism—a Restorationist movement, whose members migrated westward from Missouri and Illinois under the leadership of Brigham Young in 1847 after the assassination of Joseph Smith[366]—remains the predominant religion in Utah to this day.[367] + +Urbanization +Main articles: Urbanization in the United States and List of United States cities by population +About 82% of Americans live in urban areas, including suburbs;[159] about half of those reside in cities with populations over 50,000.[368] In 2022, 333 incorporated municipalities had populations over 100,000, nine cities had more than one million residents, and four cities (New York City, Los Angeles, Chicago, and Houston) had populations exceeding two million.[369] Many U.S. metropolitan populations are growing rapidly, particularly in the South and West.[370] + +Health +See also: Healthcare in the United States, Healthcare reform in the United States, and Health insurance in the United States +The Texas Medical Center, a cluster of contemporary skyscrapers, at night +Texas Medical Center in Houston is the largest medical complex in the world.[372][373] As of 2018, it employed 120,000 people and treated 10 million patients annually.[374] +According to the Centers for Disease Control (CDC), average American life expectancy at birth was 77.5 years in 2022 (74.8 years for men and 80.2 years for women). This was a gain of 1.1 years from 76.4 years in 2021, but the CDC noted that the new average "didn't fully offset the loss of 2.4 years between 2019 and 2021". The COVID pandemic and higher overall mortality due to opioid overdoses and suicides were held mostly responsible for the previous drop in life expectancy.[375] The same report stated that the 2022 gains in average U.S. life expectancy were especially significant for men, Hispanics, and American Indian–Alaskan Native people (AIAN). Starting in 1998, the life expectancy in the U.S. fell behind that of other wealthy industrialized countries, and Americans' "health disadvantage" gap has been increasing ever since.[376] The U.S. has one of the highest suicide rates among high-income countries.[377] Approximately one-third of the U.S. adult population is obese and another third is overweight.[378] The U.S. healthcare system far outspends that of any other country, measured both in per capita spending and as a percentage of GDP, but attains worse healthcare outcomes when compared to peer countries for reasons that are debated.[379] The United States is the only developed country without a system of universal healthcare, and a significant proportion of the population that does not carry health insurance.[380] Government-funded healthcare coverage for the poor (Medicaid) and for those age 65 and older (Medicare) is available to Americans who meet the programs' income or age qualifications. In 2010, former President Obama passed the Patient Protection and Affordable Care Act.[p][381] + +Education +Main articles: Education in the United States and Higher education in the United States +Photograph of the University of Virginia +The University of Virginia, founded by Thomas Jefferson in 1819, is one of many public colleges and universities in the United States. +American primary and secondary education (known in the U.S. as K-12, "kindergarten through 12th grade") is decentralized. It is operated by state, territorial, and sometimes municipal governments and regulated by the U.S. Department of Education. In general, children are required to attend school or an approved homeschool from the age of five or six (kindergarten or first grade) until they are 18 years old. This often brings students through the 12th grade, the final year of a U.S. high school, but some states and territories allow them to leave school earlier, at age 16 or 17.[382] The U.S. spends more on education per student than any country in the world,[383] an average of $12,794 per year per public elementary and secondary school student in 2016–2017.[384] Among Americans age 25 and older, 84.6% graduated from high school, 52.6% attended some college, 27.2% earned a bachelor's degree, and 9.6% earned a graduate degree.[385] The U.S. literacy rate is near-universal.[159][386] The country has the most Nobel Prize winners in history, with 411 (having won 413 awards).[387][388] + +U.S. tertiary or higher education has earned a global reputation. Many of the world's top universities, as listed by various ranking organizations, are in the United States, including 19 of the top 25.[389][390] American higher education is dominated by state university systems, although the country's many private universities and colleges enroll about 20% of all American students. Large amounts of federal financial aid are provided to students in the form of grants and loans. + +Colleges and universities directly funded by the federal government are limited to military personnel and government employees and include the U.S. service academies, the Naval Postgraduate School, and military staff colleges. Local community colleges generally offer coursework and degree programs covering the first two years of college study. They often have more open admission policies, shorter academic programs, and lower tuition.[391] + +As for public expenditures on higher education, the U.S. spends more per student than the OECD average, and more than all nations in combined public and private spending.[392] Despite some student loan forgiveness programs in place,[393] student loan debt has increased by 102% in the last decade,[394] and exceeded 1.7 trillion dollars as of 2022.[395] + +Culture and society +Main articles: Culture of the United States and Society of the United States +The Statue of Liberty, a large teal bronze sculpture on a stone pedestal +The Statue of Liberty (Liberty Enlightening the World) on Liberty Island in New York Harbor was an 1866 gift from France that has become an iconic symbol of the American Dream.[396] +Americans have traditionally been characterized by a unifying political belief in an "American creed" emphasizing liberty, equality under the law, democracy, social equality, property rights, and a preference for limited government.[397][398] Culturally, the country has been described as having the values of individualism and personal autonomy,[399][400] having a strong work ethic,[401] competitiveness,[402] and voluntary altruism towards others.[403][404][405] According to a 2016 study by the Charities Aid Foundation, Americans donated 1.44% of total GDP to charity, the highest rate in the world by a large margin.[406] The United States is home to a wide variety of ethnic groups, traditions, and values. It has acquired significant cultural and economic soft power.[407][408] + +Nearly all present Americans or their ancestors came from Europe, Africa, and Asia ("the Old World") within the past five centuries.[409] Mainstream American culture is a Western culture largely derived from the traditions of European immigrants with influences from many other sources, such as traditions brought by slaves from Africa.[410] More recent immigration from Asia and especially Latin America has added to a cultural mix that has been described as a homogenizing melting pot, and a heterogeneous salad bowl, with immigrants contributing to, and often assimilating into, mainstream American culture. The American Dream, or the perception that Americans enjoy high social mobility, plays a key role in attracting immigrants.[411] Whether this perception is accurate has been a topic of debate.[412][413][414] While mainstream culture holds that the United States is a classless society,[415] scholars identify significant differences between the country's social classes, affecting socialization, language, and values.[416] Americans tend to greatly value socioeconomic achievement, but being ordinary or average is promoted by some as a noble condition as well.[417] + +The United States is considered to have the strongest protections of free speech of any country under the First Amendment,[418] which protects flag desecration, hate speech, blasphemy, and lese-majesty as forms of protected expression.[419][420][421] A 2016 Pew Research Center poll found that Americans were the most supportive of free expression of any polity measured.[422] They are the "most supportive of freedom of the press and the right to use the Internet without government censorship."[423] It is a socially progressive country[424] with permissive attitudes surrounding human sexuality.[425] LGBT rights in the United States are advanced by global standards.[425][426][427] + +Literature +Main articles: American literature and American philosophy +See also: List of American novelists +Photograph of Mark Twain +Mark Twain, who William Faulkner called "the father of American literature"[428] +Colonial American authors were influenced by John Locke and various other Enlightenment philosophers.[429][430] Before and shortly after the Revolutionary War, the newspaper rose to prominence, filling a demand for anti-British national literature.[431][432] Led by Ralph Waldo Emerson and Margaret Fuller in New England,[433] transcendentalism branched from Unitarianism as the first major American philosophical movement.[434][435] During the nineteenth-century American Renaissance, writers like Walt Whitman and Harriet Beecher Stowe established a distinctive American literary tradition.[436][437] As literacy rates rose, periodicals published more stories centered around industrial workers, women, and the rural poor.[438][439] Naturalism, regionalism, and realism—the latter associated with Mark Twain—were the major literary movements of the period.[440][441] + +While modernism generally took on an international character, modernist authors working within the United States more often rooted their work in specific regions, peoples, and cultures.[442] Following the Great Migration to northern cities, African-American and black West Indian authors of the Harlem Renaissance developed an independent tradition of literature that rebuked a history of inequality and celebrated black culture. An important cultural export during the Jazz Age, these writings were a key influence on the négritude philosophy.[443][444] In the 1950s, an ideal of homogeneity led many authors to attempt to write the Great American Novel,[445] while the Beat Generation rejected this conformity, using styles that elevated the impact of the spoken word over mechanics to describe drug use, sexuality, and the failings of society.[446][447] Contemporary literature is more pluralistic than in previous eras, with the closest thing to a unifying feature being a trend toward self-conscious experiments with language.[448] + +Mass media +Further information: Mass media in the United States +See also: Newspapers in the United States, Television in the United States, Internet in the United States, Radio in the United States, and Video games in the United States + +Comcast Center in Philadelphia, headquarters of Comcast, the world's largest telecommunications and media conglomerate +Media is broadly uncensored, with the First Amendment providing significant protections, as reiterated in New York Times Co. v. United States.[418] The four major broadcasters in the U.S. are the National Broadcasting Company (NBC), Columbia Broadcasting System (CBS), American Broadcasting Company (ABC), and Fox Broadcasting Company (FOX). The four major broadcast television networks are all commercial entities. Cable television offers hundreds of channels catering to a variety of niches.[449] As of 2021, about 83% of Americans over age 12 listen to broadcast radio, while about 40% listen to podcasts.[450] As of 2020, there were 15,460 licensed full-power radio stations in the U.S. according to the Federal Communications Commission (FCC).[451] Much of the public radio broadcasting is supplied by NPR, incorporated in February 1970 under the Public Broadcasting Act of 1967.[452] + +U.S. newspapers with a global reach and reputation include The Wall Street Journal, The New York Times, The Washington Post, and USA Today.[453] About 800 publications are produced in Spanish.[454][455] With few exceptions, newspapers are privately owned, either by large chains such as Gannett or McClatchy, which own dozens or even hundreds of newspapers; by small chains that own a handful of papers; or, in a situation that is increasingly rare, by individuals or families. Major cities often have alternative newspapers to complement the mainstream daily papers, such as The Village Voice in New York City and LA Weekly in Los Angeles. The five most popular websites used in the U.S. are Google, YouTube, Amazon, Yahoo, and Facebook, with all of them being American companies.[456] + +As of 2022, the video game market of the United States is the world's largest by revenue.[457] There are 444 publishers, developers, and hardware companies in California alone.[458] + +Theater +Main article: Theater in the United States + +Broadway theatres in Theater District, Manhattan +The United States is well known for its cinema and theater. Mainstream theater in the United States derives from the old European theatrical tradition and has been heavily influenced by the British theater.[459] By the middle of the 19th century America had created new distinct dramatic forms in the Tom Shows, the showboat theater and the minstrel show.[460] The central hub of the American theater scene is Manhattan, with its divisions of Broadway, off-Broadway, and off-off-Broadway.[461] + +Many movie and television stars have gotten their big break working in New York productions. Outside New York City, many cities have professional regional or resident theater companies that produce their own seasons. The biggest-budget theatrical productions are musicals. U.S. theater has an active community theater culture.[462] + +The Tony Awards recognizes excellence in live Broadway theatre and are presented at an annual ceremony in Manhattan. The awards are given for Broadway productions and performances. One is also given for regional theatre. Several discretionary non-competitive awards are given as well, including a Special Tony Award, the Tony Honors for Excellence in Theatre, and the Isabelle Stevenson Award.[463] + +Visual arts +Main articles: Visual art of the United States and Architecture of the United States + +American Gothic (1930) by Grant Wood is one of the most famous American paintings and is widely parodied.[464] +In the visual arts, the Hudson River School was a mid-19th-century movement in the tradition of European naturalism. The 1913 Armory Show in New York City, an exhibition of European modernist art, shocked the public and transformed the U.S. art scene.[465] + +Georgia O'Keeffe, Marsden Hartley, and others experimented with new and individualistic styles, which would become known as American modernism. Major artistic movements such as the abstract expressionism of Jackson Pollock and Willem de Kooning and the pop art of Andy Warhol and Roy Lichtenstein developed largely in the United States. Major photographers include Alfred Stieglitz, Edward Steichen, Dorothea Lange, Edward Weston, James Van Der Zee, Ansel Adams, and Gordon Parks.[466] + +The tide of modernism and then postmodernism has brought global fame to American architects, including Frank Lloyd Wright, Philip Johnson, and Frank Gehry.[467] The Metropolitan Museum of Art in Manhattan is the largest art museum in the United States.[468] + +Music +Main article: Music of the United States +American folk music encompasses numerous music genres, variously known as traditional music, traditional folk music, contemporary folk music, or roots music. Many traditional songs have been sung within the same family or folk group for generations, and sometimes trace back to such origins as the British Isles, Mainland Europe, or Africa.[469] The rhythmic and lyrical styles of African-American music in particular have influenced American music.[470] Banjos were brought to America through the slave trade. Minstrel shows incorporating the instrument into their acts led to its increased popularity and widespread production in the 19th century.[471][472] The electric guitar, first invented in the 1930s, and mass-produced by the 1940s, had an enormous influence on popular music, in particular due to the development of rock and roll.[473] + + +The Country Music Hall of Fame and Museum in Nashville, Tennessee +Elements from folk idioms such as the blues and old-time music were adopted and transformed into popular genres with global audiences. Jazz grew from blues and ragtime in the early 20th century, developing from the innovations and recordings of composers such as W.C. Handy and Jelly Roll Morton. Louis Armstrong and Duke Ellington increased its popularity early in the 20th century.[474] Country music developed in the 1920s,[475] rock and roll in the 1930s,[473] and bluegrass[476] and rhythm and blues in the 1940s.[477] In the 1960s, Bob Dylan emerged from the folk revival to become one of the country's most celebrated songwriters.[478] The musical forms of punk and hip hop both originated in the United States in the 1970s.[479] + +The United States has the world's largest music market with a total retail value of $15.9 billion in 2022.[480] Most of the world's major record companies are based in the U.S.; they are represented by the Recording Industry Association of America (RIAA).[481] Mid-20th-century American pop stars, such as Frank Sinatra[482] and Elvis Presley,[483] became global celebrities and best-selling music artists,[474] as have artists of the late 20th century, such as Michael Jackson,[484] Madonna,[485] Whitney Houston,[486] and Prince,[487] and of early 21st century such as Taylor Swift and Beyoncé.[488] + +Fashion +Main article: Fashion in the United States + +Haute couture fashion models on the catwalk during New York Fashion Week +The United States and China collectively account for the majority of global apparel demand. Apart from professional business attire, American fashion is eclectic and predominantly informal. While Americans' diverse cultural roots are reflected in their clothing, sneakers, jeans, T-shirts, and baseball caps are emblematic of American styles.[489] New York is considered to be one of the "big four" global fashion capitals, along with Paris, Milan, and London. A study demonstrated that general proximity to Manhattan's Garment District has been synonymous with American fashion since its inception in the early 20th century.[490] + +The headquarters of many designer labels reside in Manhattan. Labels cater to niche markets, such as pre teens. There has been a trend in the United States fashion towards sustainable clothing.[491] New York Fashion Week is one of the most influential fashion weeks in the world, and occurs twice a year.[492] + +Cinema +Main article: Cinema of the United States + +The iconic Hollywood Sign, in the Hollywood Hills, often regarded as the symbol of the American film industry +The U.S. film industry has a worldwide influence and following. Hollywood, a district in northern Los Angeles, the nation's second-most populous city, is also metonymous for the American filmmaking industry, the third-largest in the world, following India and Nigeria.[493][494][495] The major film studios of the United States are the primary source of the most commercially successful and most ticket-selling movies in the world.[496][497] Since the early 20th century, the U.S. film industry has largely been based in and around Hollywood, although in the 21st century an increasing number of films are not made there, and film companies have been subject to the forces of globalization.[498] The Academy Awards, popularly known as the Oscars, have been held annually by the Academy of Motion Picture Arts and Sciences since 1929,[499] and the Golden Globe Awards have been held annually since January 1944.[500] + +The industry enjoyed its golden years, in what is commonly referred to as the "Golden Age of Hollywood", from the early sound period until the early 1960s,[501] with screen actors such as John Wayne and Marilyn Monroe becoming iconic figures.[502][503] In the 1970s, "New Hollywood" or the "Hollywood Renaissance"[504] was defined by grittier films influenced by French and Italian realist pictures of the post-war period.[505] The 21st century was marked by the rise of American streaming platforms, which came to rival traditional cinema.[506][507] + +Cuisine +Main article: American cuisine +Further information: List of American regional and fusion cuisines + +A Thanksgiving dinner with roast turkey, mashed potatoes, pickles, corn, candied yams, cranberry jelly, shrimps, stuffing, green peas, deviled eggs, green salad and apple sauce +Early settlers were introduced by Native Americans to foods such as turkey, sweet potatoes, corn, squash, and maple syrup. Of the most enduring and pervasive examples are variations of the native dish called succotash. Early settlers and later immigrants combined these with foods they were familiar with, such as wheat flour,[508] beef, and milk to create a distinctive American cuisine.[509][510] New World crops, especially pumpkin, corn, potatoes, and turkey as the main course are part of a shared national menu on Thanksgiving, when many Americans prepare or purchase traditional dishes to celebrate the occasion.[511] + +Characteristic American dishes such as apple pie, fried chicken, doughnuts, french fries, macaroni and cheese, ice cream, pizza, hamburgers, and hot dogs derive from the recipes of various immigrant groups.[512][513][514][515] Mexican dishes such as burritos and tacos preexisted the United States in areas later annexed from Mexico, and adaptations of Chinese cuisine as well as pasta dishes freely adapted from Italian sources are all widely consumed.[516] American chefs have had a significant impact on society both domestically and internationally. In 1946, the Culinary Institute of America was founded by Katharine Angell and Frances Roth. This would become the United States' most prestigious culinary school, where many of the most talented American chefs would study prior to successful careers.[517][518] + +The United States restaurant industry was projected at $899 billion in sales for 2020,[519][520] and employed more than 15 million people, representing 10% of the nation's workforce directly.[519] It is the country's second-largest private employer and the third-largest employer overall.[521][522] The United States is home to over 220 Michelin Star rated restaurants, 70 of which are in New York City alone.[523] Wine has been produced in what is now the United States since the 1500s, with the first widespread production beginning in what is now New Mexico in 1628.[524][525][526] Today, wine production is undertaken in all fifty states, with California producing 84 percent of all US wine. With more than 1,100,000 acres (4,500 km2) under vine, the United States is the fourth-largest wine producing country in the world, after Italy, Spain, and France.[527][528] + +The American fast-food industry, the world's first and largest, pioneered the drive-through format in the 1940s[529] and is often viewed as being a symbol of U.S. marketing dominance. American companies such as McDonald's,[530] Burger King, Pizza Hut, Kentucky Fried Chicken, and Domino's Pizza, among many others, have numerous outlets around the world.[531] \ No newline at end of file diff --git a/registry.yaml b/registry.yaml index d1f8fa0..ac40559 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1242,3 +1242,12 @@ - teomusatoiu tags: - moderation + + +- title: Summarizing with controllable detail + path: examples/Summarizing_with_controllable_detail.ipynb + date: 2024-04-01 + authors: + - joe-at-openai + tags: + - chat \ No newline at end of file From df56d847021acd3db172ee914aba64917196ca97 Mon Sep 17 00:00:00 2001 From: dylanra-openai <149511600+dylanra-openai@users.noreply.github.com> Date: Wed, 10 Apr 2024 13:02:57 +0100 Subject: [PATCH 29/44] Dylanra/clip based rag (#1110) --- examples/custom_image_embedding_search.ipynb | 612 +++++++++++++++++++ images/train1.jpeg | Bin 0 -> 62612 bytes images/train17.jpeg | Bin 0 -> 75055 bytes images/train2.jpeg | Bin 0 -> 129947 bytes registry.yaml | 10 +- 5 files changed, 621 insertions(+), 1 deletion(-) create mode 100644 examples/custom_image_embedding_search.ipynb create mode 100644 images/train1.jpeg create mode 100644 images/train17.jpeg create mode 100644 images/train2.jpeg diff --git a/examples/custom_image_embedding_search.ipynb b/examples/custom_image_embedding_search.ipynb new file mode 100644 index 0000000..51bfef2 --- /dev/null +++ b/examples/custom_image_embedding_search.ipynb @@ -0,0 +1,612 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "w9w5JBaUL-lO" + }, + "source": [ + "# Multimodal RAG with CLIP Embeddings and GPT-4 Vision\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3CCjcFSiMbvf" + }, + "source": [ + "Multimodal RAG integrates additional modalities into traditional text-based RAG, enhancing LLMs' question-answering by providing extra context and grounding textual data for improved understanding.\n", + "\n", + "Adopting the approach from the [clothing matchmaker cookbook](https://cookbook.openai.com/examples/how_to_combine_gpt4v_with_rag_outfit_assistant), we directly embed images for similarity search, bypassing the lossy process of text captioning, to boost retrieval accuracy.\n", + "\n", + "Using CLIP-based embeddings further allows fine-tuning with specific data or updating with unseen images.\n", + "\n", + "This technique is showcased through searching an enterprise knowledge base with user-provided tech images to deliver pertinent information." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "T-Mpdxit4x49" + }, + "source": [ + "# Installations" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "nbt3evfHUJTZ" + }, + "source": [ + "First let's install the relevant packages." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "7hgrcVEl0Ma1" + }, + "outputs": [], + "source": [ + "#installations\n", + "%pip install clip\n", + "%pip install torch\n", + "%pip install pillow\n", + "%pip install faiss-cpu\n", + "%pip install numpy\n", + "%pip install git+https://github.com/openai/CLIP.git\n", + "%pip install openai" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "GgrlBLTpT0si" + }, + "source": [ + "Then let's import all the needed packages.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "id": "pN1cWF-iyLUg" + }, + "outputs": [], + "source": [ + "# model imports\n", + "import faiss\n", + "import json\n", + "import torch\n", + "from openai import OpenAI\n", + "import torch.nn as nn\n", + "from torch.utils.data import DataLoader\n", + "import clip\n", + "client = OpenAI()\n", + "\n", + "# helper imports\n", + "from tqdm import tqdm\n", + "import json\n", + "import os\n", + "import numpy as np\n", + "import pickle\n", + "from typing import List, Union, Tuple\n", + "\n", + "# visualisation imports\n", + "from PIL import Image\n", + "import matplotlib.pyplot as plt\n", + "import base64" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "9fONcWxRqll8" + }, + "source": [ + "Now let's load the CLIP model." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "id": "_Ua9y98NRk70" + }, + "outputs": [], + "source": [ + "#load model on device. The device you are running inference/training on is either a CPU or GPU if you have.\n", + "device = \"cpu\"\n", + "model, preprocess = clip.load(\"ViT-B/32\",device=device)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Dev-zjfJ774W" + }, + "source": [ + "\n", + "We will now:\n", + "1. Create the image embedding database\n", + "2. Set up a query to the vision model\n", + "3. Perform the semantic search\n", + "4. Pass a user query to the image\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5Y1v2jkS42TS" + }, + "source": [ + "# Create image embedding database" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "wVBAMyhesAyi" + }, + "source": [ + "Next we will create our image embeddings knowledge base from a directory of images. This will be the knowledge base of technology that we search through to provide information to the user for an image they upload.\n", + "\n", + "We pass in the directory in which we store our images (as JPEGs) and loop through each to create our embeddings.\n", + "\n", + "We also have a description.json. This has an entry for every single image in our knowledge base. It has two keys: 'image_path' and 'description'. It maps each image to a useful description of this image to aid in answering the user question." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "fDCz76gr8yAu" + }, + "source": [ + "First let's write a function to get all the image paths in a given directory. We will then get all the jpeg's from a directory called 'image_database'" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "vE9i3zLuRk5c" + }, + "outputs": [], + "source": [ + "def get_image_paths(directory: str, number: int = None) -> List[str]:\n", + " image_paths = []\n", + " count = 0\n", + " for filename in os.listdir(directory):\n", + " if filename.endswith('.jpeg'):\n", + " image_paths.append(os.path.join(directory, filename))\n", + " if number is not None and count == number:\n", + " return [image_paths[-1]]\n", + " count += 1\n", + " return image_paths\n", + "direc = 'image_database/'\n", + "image_paths = get_image_paths(direc)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "hMldfjn189vC" + }, + "source": [ + "Next we will write a function to get the image embeddings from the CLIP model given a series of paths.\n", + "\n", + "We first preprocess the image using the preprocess function we got earlier. This performs a few things to ensure the input to the CLIP model is of the right format and dimensionality including resizing, normalization, colour channel adjustment etc.\n", + "\n", + "We then stack these preprocessed images together so we can pass them into the model at once rather than in a loop. And finally return the model output which is an array of embeddings." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "id": "fd3I_fPh8qvi" + }, + "outputs": [], + "source": [ + "def get_features_from_image_path(image_paths):\n", + " images = [preprocess(Image.open(image_path).convert(\"RGB\")) for image_path in image_paths]\n", + " image_input = torch.tensor(np.stack(images))\n", + " with torch.no_grad():\n", + " image_features = model.encode_image(image_input).float()\n", + " return image_features\n", + "image_features = get_features_from_image_path(image_paths)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "UH_kyZAE-kHe" + }, + "source": [ + "We can now create our vector database." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "id": "TIeqpndF8tZk" + }, + "outputs": [], + "source": [ + "index = faiss.IndexFlatIP(image_features.shape[1])\n", + "index.add(image_features)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "swDe1c4v-mbz" + }, + "source": [ + "And also ingest our json for image-description mapping and create a list of jsons. We also create a helper function to search through this list for a given image we want, so we can obtain the description of that image" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "id": "tdjlXQqC8uNE" + }, + "outputs": [], + "source": [ + "data = []\n", + "image_path = 'train1.jpeg'\n", + "with open('description.json', 'r') as file:\n", + " for line in file:\n", + " data.append(json.loads(line))\n", + "def find_entry(data, key, value):\n", + " for entry in data:\n", + " if entry.get(key) == value:\n", + " return entry\n", + " return None" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "fJXfCtPD5_63" + }, + "source": [ + "Let us display an example image, this will be the user uploaded image. This is a piece of tech that was unveiled at the 2024 CES. It is the DELTA Pro Ultra Whole House Battery Generator." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "RtkZ7W3g5sED" + }, + "outputs": [], + "source": [ + "im = Image.open(image_path)\n", + "plt.imshow(im)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5ivECCKSdbBy" + }, + "source": [ + "![Delta Pro](../images/train1.jpeg)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Sidjylki7Kye" + }, + "source": [ + "# Querying the vision model" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "H8O7X6ml7t38" + }, + "source": [ + "Now let's have a look at what GPT-4 Vision (which wouldn't have seen this technology before) will label it as.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "r4uDjS-gQAqm" + }, + "source": [ + "First we will need to write a function to encode our image in base64 as this is the format we will pass into the vision model. Then we will create a generic image_query function to allow us to query the LLM with an image input." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "id": "87gf6_xO8Y4i", + "outputId": "99be865f-12e8-4ef0-c2f5-5fd6e5c787f3" + }, + "outputs": [ + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + }, + "text/plain": [ + "'Autonomous Delivery Robot'" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def encode_image(image_path):\n", + " with open(image_path, 'rb') as image_file:\n", + " encoded_image = base64.b64encode(image_file.read())\n", + " return encoded_image.decode('utf-8')\n", + "\n", + "def image_query(query, image_path):\n", + " response = client.chat.completions.create(\n", + " model='gpt-4-vision-preview',\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\n", + " \"type\": \"text\",\n", + " \"text\": query,\n", + " },\n", + " {\n", + " \"type\": \"image_url\",\n", + " \"image_url\": {\n", + " \"url\": f\"data:image/jpeg;base64,{encode_image(image_path)}\",\n", + " },\n", + " }\n", + " ],\n", + " }\n", + " ],\n", + " max_tokens=300,\n", + " )\n", + " # Extract relevant features from the response\n", + " return response.choices[0].message.content\n", + "image_query('Write a short label of what is show in this image?', image_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "yfG_7c-jQAqm" + }, + "source": [ + "As we can see, it tries its best from the information it's been trained on but it makes a mistake due to it not having seen anything similar in its training data. This is because it is an ambiguous image making it difficult to extrapolate and deduce." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "szWZqTqf7SrA" + }, + "source": [ + "# Performing semantic search" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "eV8LaOncGH3j" + }, + "source": [ + "Now let's perform similarity search to find the two most similar images in our knowledge base. We do this by getting the embeddings of a user inputted image_path, retrieving the indexes and distances of the similar iamges in our database. Distance will be our proxy metric for similarity and a smaller distance means more similar. We then sort based on distance in descending order." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "id": "GzNEhKJ04D-F" + }, + "outputs": [], + "source": [ + "image_search_embedding = get_features_from_image_path([image_path])\n", + "distances, indices = index.search(image_search_embedding.reshape(1, -1), 2) #2 signifies the number of topmost similar images to bring back\n", + "distances = distances[0]\n", + "indices = indices[0]\n", + "indices_distances = list(zip(indices, distances))\n", + "indices_distances.sort(key=lambda x: x[1], reverse=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0O-GYQ-1QAqm" + }, + "source": [ + "We require the indices as we will use this to serach through our image_directory and selecting the image at the location of the index to feed into the vision model for RAG." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "9-6SVzwSJVuT" + }, + "source": [ + "And let's see what it brought back (we display these in order of similarity):" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Lt1ZYuKDFeww" + }, + "outputs": [], + "source": [ + "#display similar images\n", + "for idx, distance in indices_distances:\n", + " print(idx)\n", + " path = get_image_paths(direc, idx)[0]\n", + " im = Image.open(path)\n", + " plt.imshow(im)\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "GPTvKIUJ2tgz" + }, + "source": [ + "![Delta Pro2](../images/train2.jpeg)\n", + "\n", + "![Delta Pro3](../images/train17.jpeg)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "x4kF2-MJQAqm" + }, + "source": [ + "We can see here it brought back two images which contain the DELTA Pro Ultra Whole House Battery Generator. In one of the images it also has some background which could be distracting but manages to find the right image." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Qc2sOKzY7yv3" + }, + "source": [ + "# User querying the most similar image" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8Sio6OR4MDjI" + }, + "source": [ + "Now for our most similar image, we want to pass it and the description of it to gpt-v with a user query so they can inquire about the technology that they may have bought. This is where the power of the vision model comes in, where you can ask general queries for which the model hasn't been explicitly trained on to the model and it responds with high accuracy." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "uPzsRk66QAqn" + }, + "source": [ + "In our example below, we will inquire as to the capacity of the item in question." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 87 + }, + "id": "-_5W_xwitbr3", + "outputId": "99a40617-0153-492a-d8b0-6782b8421e40" + }, + "outputs": [ + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + }, + "text/plain": [ + "'The portable home battery DELTA Pro has a base capacity of 3.6kWh. This capacity can be expanded up to 25kWh with additional batteries. The image showcases the DELTA Pro, which has an impressive 3600W power capacity for AC output as well.'" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "similar_path = get_image_paths(direc, indices_distances[0][0])[0]\n", + "element = find_entry(data, 'image_path', similar_path)\n", + "\n", + "user_query = 'What is the capacity of this item?'\n", + "prompt = f\"\"\"\n", + "Below is a user query, I want you to answer the query using the description and image provided.\n", + "\n", + "user query:\n", + "{user_query}\n", + "\n", + "description:\n", + "{element['description']}\n", + "\"\"\"\n", + "image_query(prompt, similar_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "VIInamGaAG9L" + }, + "source": [ + "And we see it is able to answer the question. This was only possible by matching images directly and from there gathering the relevant description as context." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Ljrf0VKR_2q9" + }, + "source": [ + "# Conclusion" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "PexvxTF5_7ay" + }, + "source": [ + "In this notebook, we have gone through how to use the CLIP model, an example of creating an image embedding database using the CLIP model, performing semantic search and finally providing a user query to answer the question." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "gOgRBeh6eMiq" + }, + "source": [ + "The applications of this pattern of usage spread across many different application domains and this is easily improved to further enhance the technique. For example you may finetune CLIP, you may improve the retrieval process just like in RAG and you can prompt engineer GPT-V.\n" + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/images/train1.jpeg b/images/train1.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..a1511b937e1936caf76fe901e54a8a46c9f49c35 GIT binary patch literal 62612 zcmdSAg@hGj;|3K!A_HWO`Q}>T(ni^p-!6!BZ160^QqVVFJ$mDkHhhum_Lr>o~vg3d_ zrfH0CsK|!#RQv7-LaJHJ$)A=r3yqJ{7YeoT>W##|-n_la^I%Q5v8n;o0z##!4;r5j zBryMevdtMyIuR{|hxcxbai1z~(>6<%dEn|!B%wk2MIpu4=HYQHnLg1qBAcA92%|qn z09Ix}jcA2p!HLuay@7b@_Z})`Pm!=+&!w#*F?uoH8qM_DrC~=Mb`y6abf6SiZO#eB__g*lzLSh8IJ3+g!pG0_Tp+ zyEdtJu|L}cT`?Hkso}BF*UFQ%Y4-eE+4j-M%!~E+i2j+^OX)=;JOMO|sV=9d8u^Ul 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a/registry.yaml b/registry.yaml index ac40559..a6a655d 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1243,6 +1243,14 @@ tags: - moderation +- title: CLIP embeddings to improve multimodal RAG with GPT-4 Vision + path: examples/custom_image_embedding_search.ipynb + date: 2024-04-10 + authors: + - dylanra-openai + tags: + - vision + - embeddings - title: Summarizing with controllable detail path: examples/Summarizing_with_controllable_detail.ipynb @@ -1250,4 +1258,4 @@ authors: - joe-at-openai tags: - - chat \ No newline at end of file + - chat From 1d82e43b22b4cb6b71a8ca951b0a055d0cda1a1c Mon Sep 17 00:00:00 2001 From: dylanra-openai <149511600+dylanra-openai@users.noreply.github.com> Date: Wed, 10 Apr 2024 15:21:38 +0100 Subject: [PATCH 30/44] Dylanra/synthetic data gen (#1109) --- authors.yaml | 8 +- examples/SDG1.ipynb | 1276 ++++++++++++++++++++++++++++++++++++++++ images/elbow_chart.png | Bin 0 -> 126413 bytes registry.yaml | 28 +- 4 files changed, 1303 insertions(+), 9 deletions(-) create mode 100644 examples/SDG1.ipynb create mode 100644 images/elbow_chart.png diff --git a/authors.yaml b/authors.yaml index f18180a..54c948a 100644 --- a/authors.yaml +++ b/authors.yaml @@ -83,7 +83,13 @@ jbeutler-openai: website: "https://joebeutler.com" avatar: "https://avatars.githubusercontent.com/u/156261485?v=4" +dylanra-openai: + name: "Dylan Royan Almeida" + website: "https://www.linkedin.com/in/dylan-almeida-604522167/" + avatar: "https://avatars.githubusercontent.com/u/149511600?v=4" + royziv11: name: "Roy Ziv" website: "https://www.linkedin.com/in/roy-ziv-a46001149/" - avatar: "https://media.licdn.com/dms/image/D5603AQHkaEOOGZWtbA/profile-displayphoto-shrink_400_400/0/1699500606122?e=1716422400&v=beta&t=wKEIx-vTEqm9wnqoC7-xr1WqJjghvcjjlMt034hXY_4" \ No newline at end of file + avatar: "https://media.licdn.com/dms/image/D5603AQHkaEOOGZWtbA/profile-displayphoto-shrink_400_400/0/1699500606122?e=1716422400&v=beta&t=wKEIx-vTEqm9wnqoC7-xr1WqJjghvcjjlMt034hXY_4" + diff --git a/examples/SDG1.ipynb b/examples/SDG1.ipynb new file mode 100644 index 0000000..02fd5eb --- /dev/null +++ b/examples/SDG1.ipynb @@ -0,0 +1,1276 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "I_IHQTO8xXBn" + }, + "source": [ + "# Synthetic Data generation (Part 1)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "VBoxtnxVdTWZ" + }, + "source": [ + "\n", + "Synthetic data generation using large language models (LLMs) offers a powerful solution to a commonly faced problem: the availability of high-quality, diverse, and privacy-compliant data. This could be used in a number of scenarios such as training a data science machine learning model (SVMs, decision trees, KNN's), finetuning a different GPT model on the data, as a solution to the coldstart problem, helping build compelling demos/apps with realistic data, scenario testing etc.\n", + "\n", + "There are a number of key drivers which may see you wanting to leverage synthetic data. \n", + "1. Human data may have privacy restrictions and/or identifiable data within it which we do not want to be used. \n", + "2. Synthetic data can be much more structured and therefore easier to manipulate than real data. \n", + "3. In domains where data is sparse or data of certain categories is sparse we may want to augment the data. \n", + "4. When dealing with imbalanced datasets or datasets which lack diversity, we may want to create data to improve the richness of our datasets.\n", + "\n", + "Unlike traditional data augmentation or manual data creation methods, using LLMs allows for the generation of rich, nuanced, and contextually relevant datasets that can significantly enhance it's usefulness to enterprises and developers.\n", + "\n", + "We split this tutorial into 2 parts. In this cookbook, we will have the following agenda:\n", + "1. CSV with a structured prompt\n", + "2. CSV with a Python program\n", + "3. Multitable CSV with a python program\n", + "4. Simply creating textual data\n", + "5. Dealing with imbalanced or non-diverse textual data\n", + "while in part 2, we will look at prompting strategies for getting better textual data.\n", + "\n", + "The last two in particular are useful for creating synthetic data to finetune another GPT model. For example using higher quality data produced by gpt-4 to finetune the cheaper and quicker gpt-3.5 for improved performance while reducing costs.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NE9Rr29zlRsA" + }, + "source": [ + "### Getting setup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "YGncxYrgQ8eb" + }, + "outputs": [], + "source": [ + "%pip install openai\n", + "%pip install pandas\n", + "%pip install scikit-learn\n", + "%pip install matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "id": "8pzwvE-YQPtU" + }, + "outputs": [], + "source": [ + "from openai import OpenAI\n", + "import re\n", + "import numpy as np\n", + "import pandas as pd\n", + "from sklearn.cluster import KMeans\n", + "import matplotlib.pyplot as plt\n", + "import json\n", + "import matplotlib" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "B8eAx4-JxaZB" + }, + "source": [ + "### 1. CSV with a structure prompt\n", + "Here we create data in the simplest way. You can quickly generate data by addressing 3 key points: telling it the format of the data (CSV), the schema, and useful information regarding how columns relate (the LLM will be able to deduce this from the column names but a helping hand will improve performance)." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dqbvepd0n4vS", + "outputId": "8735cacc-baa5-463e-938c-783e6b508b00" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "```csv\n", + "id,house size,house price,location,number of bedrooms\n", + "1,100,220000,Suburbs,3\n", + "2,80,180000,Suburbs,2\n", + "3,120,320000,Suburbs,4\n", + "4,65,160000,Countryside,2\n", + "5,150,500000,City Center,4\n", + "6,90,200000,Countryside,3\n", + "7,200,700000,City Center,5\n", + "8,180,600000,Suburbs,5\n", + "9,70,140000,Countryside,2\n", + "10,130,400000,City Center,3\n", + "```\n" + ] + } + ], + "source": [ + "datagen_model = \"gpt-4-0125-preview\"\n", + "question = \"\"\"\n", + "Create a CSV file with 10 rows of housing data.\n", + "Each row should include the following fields:\n", + " - id (incrementing integer starting at 1)\n", + " - house size (m^2)\n", + " - house price\n", + " - location\n", + " - number of bedrooms\n", + "\n", + "Make sure that the numbers make sense (i.e. more rooms is usually bigger size, more expensive locations increase price. more size is usually higher price etc. make sure all the numbers make sense). Also only respond with the CSV.\n", + "\"\"\"\n", + "\n", + "response = client.chat.completions.create(\n", + " model=datagen_model,\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant designed to generate synthetic data.\"},\n", + " {\"role\": \"user\", \"content\": question}\n", + " ]\n", + ")\n", + "res = response.choices[0].message.content\n", + "print(res)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "6ym0NiIyxiVj" + }, + "source": [ + "### 2. CSV with a Python program\n", + "The issue with generating data directly is we are limited in the amount of data we can generate because of the context. Instead what we can do is ask the LLM to generate a python program to generate the synthetic data. This allows us to scale to much more data while also providing us a view into how the data was generated by inspecting the python program.\n", + "\n", + "This would then let us edit the python program as we desire while giving us a good basis to start from.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2yDuwB5ZxWS3", + "outputId": "dcbe1093-90f0-4f60-d9c6-34bf679bb092" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "To generate synthetic housing data and output it as a Pandas DataFrame, we can use Python with the `pandas` and `numpy` libraries. Below is a script that creates 100 rows of housing data considering the prescribed logic for house size, price, and number of bedrooms. It also takes into account the impact of location on house price.\n", + "\n", + "First, ensure you have pandas and numpy installed. You can install them via pip if you haven't already:\n", + "\n", + "```\n", + "pip install pandas numpy\n", + "```\n", + "\n", + "The script:\n", + "\n", + "```python\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "# Seed for reproducibility\n", + "np.random.seed(42)\n", + "\n", + "# Initialize the lists\n", + "ids = list(range(1, 101))\n", + "sizes = np.random.normal(150, 50, 100).astype(int) # House sizes with a mean of 150 m^2 and a std of 50\n", + "bedrooms = np.random.choice([1, 2, 3, 4, 5], 100) # Number of bedrooms\n", + "locations = np.random.choice(['Downtown', 'Suburb', 'Countryside'], 100, p=[0.4, 0.4, 0.2]) # Location of houses with a preferential distribution\n", + "\n", + "# Prices will be influenced by location, size, and bedrooms. This part is simplistic and can be made more complex.\n", + "base_price = 100000 # Base price\n", + "price_per_m2 = 1000 # Base price per m^2\n", + "extra_per_bedroom = 5000 # Extra cost per additional bedroom\n", + "\n", + "prices = []\n", + "\n", + "for i in range(100):\n", + " base_location_multiplier = 1.5 if locations[i] == 'Downtown' else 1.2 if locations[i] == 'Suburb' else 1\n", + " location_multiplier = base_location_multiplier * (1 + (sizes[i] / 1000)) # More expensive if bigger, especially downtown\n", + " price = base_price + (sizes[i] * price_per_m2) + (bedrooms[i] * extra_per_bedroom)\n", + " prices.append(int(price * location_multiplier))\n", + "\n", + "# Create DataFrame\n", + "data = {\n", + " 'id': ids,\n", + " 'house size (m^2)': sizes,\n", + " 'number of bedrooms': bedrooms,\n", + " 'location': locations,\n", + " 'house price': prices\n", + "}\n", + "\n", + "df = pd.DataFrame(data)\n", + "\n", + "print(df)\n", + "```\n", + "\n", + "This program initializes with a seed for reproducibility while creating randomized but plausible data for housing. The sizes are normally distributed around a mean value, and bedrooms are chosen from a set number. The pricing logic uses base values plus increases according to size, bedroom count, and a location multiplier, with downtown locations inflating prices more than suburbs or countryside locations. Adjustments are simplistic for the purpose of example and can be refined for more nuanced simulations.\n" + ] + } + ], + "source": [ + "question = \"\"\"\n", + "Create a Python program to generate 100 rows of housing data.\n", + "I want you to at the end of it output a pandas dataframe with 100 rows of data.\n", + "Each row should include the following fields:\n", + " - id (incrementing integer starting at 1)\n", + " - house size (m^2)\n", + " - house price\n", + " - location\n", + " - number of bedrooms\n", + "\n", + "Make sure that the numbers make sense (i.e. more rooms is usually bigger size, more expensive locations increase price. more size is usually higher price etc. make sure all the numbers make sense).\n", + "\"\"\"\n", + "\n", + "response = client.chat.completions.create(\n", + " model=datagen_model,\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant designed to generate synthetic data.\"},\n", + " {\"role\": \"user\", \"content\": question}\n", + " ]\n", + ")\n", + "res = response.choices[0].message.content\n", + "print(res)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We need to make sure to parse the output of this appropriately as often there may be surrounding text to the python code. We can also explicitly ask it to state all assumptions it made about the data it's generating, however in this circumstance it told us that automatically." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HZaJs7q8xm3L" + }, + "source": [ + "### 3. Multitable CSV with a python program\n", + "For more complex relationships however we need to make sure to specify a few more characteristics. \n", + "\n", + "To create multiple different datasets which relate to each other (for example housing, location, house type), as before we would need to specify the format, schema and useful information. However, the useful information required to get good performance is higher now. It's case-specific but a good amount of things to describe would be how the datasets relate to each other, addressing the size of the datasets in relation to one another, making sure foreign and primary keys are made appropriately and ideally using previously generated datasets to populate new ones so the actual data values match where necessary." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "3TWAhIYIxnbS", + "outputId": "8f766838-b2f0-419a-a4fb-543d029afce5" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "To create a Python program generating three Pandas DataFrames as described, I'll lay out a step-by-step process considering the relationships between the different types of data:\n", + "\n", + "1. Install pandas if you haven't yet: `pip install pandas`\n", + "2. Import pandas and generate each DataFrame. I'll make some assumptions for the synthetic data to keep it relatively simple.\n", + "\n", + "Let's start coding:\n", + "\n", + "```python\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "# Generating Location DataFrame\n", + "np.random.seed(42) # For reproducibility\n", + "location_data = {\n", + " 'id': range(1, 11), # Assuming 10 unique locations\n", + " 'country': ['CountryA'] * 5 + ['CountryB'] * 5,\n", + " 'city': ['City' + str(i) for i in range(1, 11)],\n", + " 'population': np.random.randint(100000, 1000000, size=10),\n", + " 'area': np.random.randint(500, 20000, size=10),\n", + "}\n", + "locations_df = pd.DataFrame(location_data)\n", + "\n", + "# Generating House Types DataFrame\n", + "house_types_data = {\n", + " 'id': range(1, 5), # Assuming 4 unique house types\n", + " 'house type': ['Villa', 'Apartment', 'Townhouse', 'Bungalow'],\n", + " 'average house type price': [300000, 200000, 250000, 220000], # Just arbitrary prices\n", + " 'number of houses': [25, 50, 15, 10], # Total = 100 houses, matching the housing data requirement\n", + "}\n", + "house_types_df = pd.DataFrame(house_types_data)\n", + "\n", + "# Generating Housing Data\n", + "housing_data = {\n", + " 'id': range(1, 101),\n", + " 'house size': np.random.randint(50, 500, size=100),\n", + " 'house price': [], # To be calculated based on size, location, etc.\n", + " 'location_id': np.random.choice(locations_df['id'], size=100),\n", + " 'number of bedrooms': np.random.randint(1, 6, size=100),\n", + " 'house_type_id': np.random.choice(house_types_df['id'], size=100),\n", + "}\n", + "# Simple model to calculate house price based on size, type, and a base price from the location's median\n", + "base_prices = locations_df['population'] / 100000 # Simplified assumption: more populous => more expensive\n", + "housing_data['house price'] = [\n", + " (1200 * size) + (house_types_df.loc[type_id - 1, 'average house type price']) + (base_prices[loc_id - 1] * 1000)\n", + " for size, type_id, loc_id\n", + " in zip(housing_data['house size'], housing_data['house_type_id'], housing_data['location_id'])\n", + "]\n", + "\n", + "housing_df = pd.DataFrame(housing_data)\n", + "\n", + "# Display the first few rows of each DataFrame\n", + "print(locations_df.head())\n", + "print(house_types_df.head())\n", + "print(housing_df.head())\n", + "```\n", + "\n", + "Notes:\n", + "- This script assumes 10 unique locations and 4 house types for simplicity.\n", + "- House prices are arbitrarily calculated using the house size, type, and a base price influenced by the location's population. Reality would require a more complex model.\n", + "- `numpy.random.randint` is used to generate integer values. Similarly, `numpy.random.choice` is used to randomly assign locations and house types to each house, demonstrating a form of foreign key relationship.\n", + "- For simplicity, foreign keys are represented by corresponding ID fields (e.g., `location_id` in the housing data references the `id` in the location data).\n", + "\n", + "This simple synthetic data generation strategy illustrates creating related data sets with Python and pandas. The synthetic data should make general sense within the constraints provided, but keep in mind that for more complex or realistic data modeling, you'd need to incorporate more detailed rules and possibly real-world data.\n" + ] + } + ], + "source": [ + "question = \"\"\"\n", + "Create a Python program to generate 3 different pandas dataframes.\n", + "\n", + "1. Housing data\n", + "I want 100 rows. Each row should include the following fields:\n", + " - id (incrementing integer starting at 1)\n", + " - house size (m^2)\n", + " - house price\n", + " - location\n", + " - number of bedrooms\n", + " - house type\n", + " + any relevant foreign keys\n", + "\n", + "2. Location\n", + "Each row should include the following fields:\n", + " - id (incrementing integer starting at 1)\n", + " - country\n", + " - city\n", + " - population\n", + " - area (m^2)\n", + " + any relevant foreign keys\n", + "\n", + " 3. House types\n", + " - id (incrementing integer starting at 1)\n", + " - house type\n", + " - average house type price\n", + " - number of houses\n", + " + any relevant foreign keys\n", + "\n", + "Make sure that the numbers make sense (i.e. more rooms is usually bigger size, more expensive locations increase price. more size is usually higher price etc. make sure all the numbers make sense).\n", + "Make sure that the dataframe generally follow common sense checks, e.g. the size of the dataframes make sense in comparison with one another.\n", + "Make sure the foreign keys match up and you can use previously generated dataframes when creating each consecutive dataframes.\n", + "You can use the previously generated dataframe to generate the next dataframe.\n", + "\"\"\"\n", + "\n", + "response = client.chat.completions.create(\n", + " model=datagen_model,\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant designed to generate synthetic data.\"},\n", + " {\"role\": \"user\", \"content\": question}\n", + " ]\n", + ")\n", + "res = response.choices[0].message.content\n", + "print(res)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Yv9XlRtauZYZ" + }, + "source": [ + "### 4. Simply creating textual data\n", + "Here we take a first look at creating textual data. This can be used to finetune another GPT model for example. In this case we imagine ourselves a retailer trying to streamline the process of creating descriptions for items they are selling. We again need to specify the format of the data, in particular in this case we want one which is easy to parse as an output." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The example we consider below is one in which we want to create input output training pairs for GPT model to finetune on. We will have the products' name and the category it belongs to as input and the output will be a description. \n", + "\n", + "Specifying the structure of the output explicitly and giving commands to not deviate from this help enforce the output structure. You can run this in a loop and append the data to generate more synthetic data. Again, as before we will need to parse the data well so that our code further downstream does not break." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "id": "2KJVwjV0upby" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.\n", + "Input: Northface Waterproof Jacket, Clothing\n", + "Output: Stay dry and stylish with the Northface Waterproof Jacket. Perfect for outdoor adventurers and city dwellers alike, this jacket combines cutting-edge waterproof technology with a sleek, modern design. Ideal for unpredictable weather, it ensures you're prepared for anything Mother Nature throws your way.\n", + "\n", + "2.\n", + "Input: Apple iPhone 12, Electronics\n", + "Output: Experience the next level of innovation with the Apple iPhone 12. Featuring a stunning Super Retina XDR display, a powerful A14 Bionic chip, and advanced dual-camera system, this phone is designed to push the boundaries of what's possible. With 5G capability for super-fast downloads and high-quality streaming, it's the perfect device for tech enthusiasts.\n", + "\n", + "3.\n", + "Input: Adidas Ultraboost Sneakers, Footwear\n", + "Output: Revolutionize your running experience with Adidas Ultraboost Sneakers. Engineered for long-lasting comfort and superior performance, these sneakers feature the innovative Boost \n" + ] + } + ], + "source": [ + "output_string = \"\"\n", + "for i in range(3):\n", + " question = f\"\"\"\n", + " I am creating input output training pairs to fine tune my gpt model. The usecase is a retailer generating a description for a product from a product catalogue. I want the input to be product name and category (to which the product belongs to) and output to be description.\n", + " The format should be of the form:\n", + " 1.\n", + " Input: product_name, category\n", + " Output: description\n", + " 2.\n", + " Input: product_name, category\n", + " Output: description\n", + "\n", + " Do not add any extra characters around that formatting as it will make the output parsing break.\n", + " Create as many training pairs as possible.\n", + " \"\"\"\n", + "\n", + " response = client.chat.completions.create(\n", + " model=datagen_model,\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant designed to generate synthetic data.\"},\n", + " {\"role\": \"user\", \"content\": question}\n", + " ]\n", + " )\n", + " res = response.choices[0].message.content\n", + " output_string += res + \"\\n\" + \"\\n\"\n", + "print(output_string[:1000]) #displaying truncated response\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "K5EmKTEa7GlC" + }, + "source": [ + "Note: the above output is truncated. And now we can parse it as below to get a list of products, categories and their descriptions. For example, let's take a look at the products it's generated." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "owvoyJBh0o2n", + "outputId": "ee48bcc9-fd29-42bf-9beb-ef3800cdbcb2" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['Northface Waterproof Jacket',\n", + " 'Apple iPhone 12',\n", + " 'Adidas Ultraboost Sneakers',\n", + " 'LEGO Star Wars Millennium Falcon',\n", + " 'Vitamix Professional Series 750 Blender',\n", + " 'Panasonic Lumix GH5 Camera',\n", + " 'Moleskine Classic Notebook',\n", + " 'Bodum French Press Coffee Maker',\n", + " 'Classic White Sneakers',\n", + " 'Multi-Purpose Blender',\n", + " 'Eco-Friendly Yoga Mat',\n", + " 'Organic Green Tea',\n", + " 'Smart LED Light Bulb',\n", + " 'Waterproof Hiking Boots',\n", + " 'Bamboo Toothbrush',\n", + " 'Modern Minimalist Floor Lamp',\n", + " 'Classic Leather Office Chair',\n", + " 'Stainless Steel French Press',\n", + " 'Eco-Friendly Bamboo Cutting Board',\n", + " 'Ultimate Gaming Laptop',\n", + " 'Waterproof Hiking Boots',\n", + " 'Compact Travel Umbrella',\n", + " \"Professional Chef's Knife\"]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#regex to parse data\n", + "pattern = re.compile(r'Input:\\s*(.+?),\\s*(.+?)\\nOutput:\\s*(.+?)(?=\\n\\n|\\Z)', re.DOTALL)\n", + "matches = pattern.findall(output_string)\n", + "products = []\n", + "categories = []\n", + "descriptions = []\n", + "\n", + "for match in matches:\n", + " product, category, description = match\n", + " products.append(product.strip())\n", + " categories.append(category.strip())\n", + " descriptions.append(description.strip())\n", + "products" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bO3PgRwpyocn" + }, + "source": [ + "\n", + "### 5. Dealing with imbalanced or non-diverse textual data\n", + "Some of the most important aspects of generating high-quality synthetic data are accuracy (does the data make sense), consistency (are two separate data points for the same input roughly the same) and diversity (making sure our data distribution matches as much of the distribution that exists in production).\n", + "\n", + "\n", + "To increase the diversity of our data, we start first by clustering the data. This will provide us information about which clusters are underrepresented (imbalanced dataset) or which data is not addressed at all (widening the data distribution). Then, we will either suggest new clusters (using self-reflection type call from GPT) or ask the next iteration of our synthetic generation calls to explicitly target the underrepresented clusters. \n", + "\n", + "We can then recursively run this generation and analysis of cluster loop to automate generating diverse synthetic data." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ubdPEFYR-myU" + }, + "source": [ + "For demonstrative purposes, we explicitly prompt the LLM to generate information about 4 different topical areas: vehicle, clothing, toiletries, food. We will then cluster the data and see if it managed to find these 4 topic areas." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "m-yncn8s1hWZ", + "outputId": "35ae248d-4859-4d3f-ba29-94478aed7305" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2) toiletries\n", + "Input: \"Toothbrush X5+, Electronic toothbrush\"\n", + "Output: \"Experience a superior cleanse with the Toothbrush X5+. It comes equipped with an advanced sonic technology that guarantees a gentle yet effective clean every time.\"\n", + "\n", + "3) vehicle\n", + "Input: \"Pegasus Pro 300, Motorcycle\"\n", + "Output: \"Dominate the road with the stylish Pegasus Pro 300. This motorcycle guarantees a powerful, efficient, and thrilling performance on every ride.\"\n", + "\n", + "4) food\n", + "Input: \"Tasty Delight Instant Noodles, Instant food\"\n", + "Output: \"Tasty Delight Instant Noodles offer a quick, delicious meal ready in minutes. The perfect solution for those stepping up their cooking game.\"\n", + "\n", + "5) clothing\n", + "Input: \"UltraSport Men's Running Jacket, Sportswear\"\n", + "Output: \"UltraSport Men's Running Jacket combines functionality and style. The breathable material allows for comfortable workouts, even in colder weather.\"\n", + "\n", + "6) toiletries\n", + "Input: \"FreshBliss Shower Gel, Bath and body\"\n", + "Output: \"Indulge in luxury every morning with the FreshBliss Showe\n" + ] + } + ], + "source": [ + "output_string = \"\"\n", + "for i in range(3):\n", + " question = f\"\"\"\n", + " I am creating input output training pairs to fine tune my gpt model. I want the input to be product name and category and output to be description. the category should be things like: mobile phones, shoes, headphones, laptop, electronic toothbrush, etc. and also more importantly the categories should come under 4 main topics: vehicle, clothing, toiletries, food)\n", + " After the number of each example also state the topic area. The format should be of the form:\n", + " 1. topic_area\n", + " Input: product_name, category\n", + " Output: description\n", + "\n", + " Do not add any extra characters around that formatting as it will make the output parsing break.\n", + "\n", + " Here are some helpful examples so you get the style of output correct.\n", + "\n", + " 1) clothing\n", + " Input: \"Shoe Name, Shoes\"\n", + " Output: \"Experience unparalleled comfort. These shoes feature a blend of modern style and the traditional superior cushioning, perfect for those always on the move.\"\n", + " \"\"\"\n", + "\n", + " response = client.chat.completions.create(\n", + " model=\"gpt-4\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant designed to generate synthetic data.\"},\n", + " {\"role\": \"user\", \"content\": question}\n", + " ]\n", + " )\n", + " res = response.choices[0].message.content\n", + " output_string += res + \"\\n\" + \"\\n\"\n", + "print(output_string[:1000]) #displaying truncated response" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note: The above output is truncated. In the example above, we would explicitly include the topic area as part of the response per example as it helps condition the proceeding output and tends to give better performance. We can also give it an actual example of what the output should look like so it gets the right idea of style of output but also to help enforce structure." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "id": "k7GAokEC1hUY" + }, + "outputs": [], + "source": [ + "pattern = re.compile(r'(\\d+)\\) (\\w+(?: \\w+)?)\\s*Input: \"(.+?), (.+?)\"\\s*Output: \"(.+?)\"', re.DOTALL)\n", + "matches = pattern.findall(output_string)\n", + "\n", + "\n", + "topics = []\n", + "products = []\n", + "categories = []\n", + "descriptions = []\n", + "\n", + "for match in matches:\n", + " number, topic, product, category, description = match\n", + " topics.append(topic)\n", + " products.append(product)\n", + " categories.append(category)\n", + " descriptions.append(description)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Z49B3LrJ1hSG", + "outputId": "d76a9038-1879-44d9-f1db-dc933e066c54" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['Toothbrush X5+',\n", + " 'Pegasus Pro 300',\n", + " 'Tasty Delight Instant Noodles',\n", + " \"UltraSport Men's Running Jacket\",\n", + " 'FreshBliss Shower Gel',\n", + " 'OceanBlue Yacht 700',\n", + " 'FarmFresh Organic Apples',\n", + " \"Elegance Women's Velvet Dress\",\n", + " \"GentleCare Men's Face Wash\",\n", + " 'AquaBreathe',\n", + " 'Lunar Ride',\n", + " 'Sunrise Juice',\n", + " 'TitanFlex',\n", + " 'GlowRadiant',\n", + " 'SolarSpeed',\n", + " 'HealthyBite',\n", + " 'Brushify',\n", + " 'Choco Crunchy',\n", + " 'Super X100',\n", + " 'Le Bliz',\n", + " 'Purely Lavender',\n", + " 'Cheesy Delight',\n", + " 'EcoSprint',\n", + " 'Denim Duo',\n", + " 'Fresh Dawn']" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "products" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "J1qKxLkAzKq0" + }, + "source": [ + "We will now cluster the data to analyze it. We will use K-means clustering to segregate the data. An important parameter of K-means to set is K, the number of clusters.\n", + "\n", + "We know that there should be 4 cluster (4 topics) since we specified this in prompt: vehicle, electronics, clothing, food. However in general for our data, we do not know the number of clusters that exist. Therefore we will use the elbow method to find the optimal number of clusters.\n", + "\n", + "In the elbow method, we iterate through a range of different K's, each time storing the inertia. The inertia measures the sum of the squared distances between each point in a cluster and the centroid of that cluster thus telling us how well-separated and dense each cluster is. If we plot K against the inertia, we are able to see how the inertia drops and where the drop in inertia is least rapid (often making an elbow shape) we can set our optimal number of clusters. You can read into more depth about the elbow method [here](https://en.wikipedia.org/wiki/Elbow_method_(clustering))." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1BxwPTkpGzu8" + }, + "source": [ + "First let's store our data into a pandas dataframe for ease of analysis\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "id": "XcPBzORtKWv6" + }, + "outputs": [], + "source": [ + "data = {\n", + " 'Product': products,\n", + " 'Category': categories,\n", + " 'Description': descriptions\n", + "}\n", + "\n", + "df = pd.DataFrame(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HQbg6r37KjG0" + }, + "source": [ + "Next let us embed our data as the embeddings is what we will cluster since they should be close to each other in vector space if they are similar." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "id": "l8M7MX-1Jctr" + }, + "outputs": [], + "source": [ + "def get_embedding(text, model=\"text-embedding-3-small\"):\n", + " text = text.replace(\"\\n\", \" \")\n", + "\n", + " response = client.embeddings.create(input=[text], model=model)\n", + "\n", + " return response.data[0].embedding\n", + "\n", + "embedding_model = \"text-embedding-3-small\"\n", + "df[\"embedding\"] = df.Category.apply(lambda x: get_embedding(x, model=embedding_model))\n", + "\n", + "matrix = np.vstack(df.embedding.values)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ZcdZscBNKy0F" + }, + "source": [ + "Now we perform the elbow method. " + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 981 + }, + "id": "1Azw_xgVl_aY", + "outputId": "5b7076aa-a03c-4a40-f52c-08b09248cf18" + }, + "outputs": [], + "source": [ + "# Determine the optimal number of clusters using the elbow method\n", + "inertias = []\n", + "range_of_clusters = range(1, 13) # Adjust the range as necessary\n", + "\n", + "for n_clusters in range_of_clusters:\n", + " kmeans = KMeans(n_clusters=n_clusters, init=\"k-means++\", random_state=42, n_init=10)\n", + " kmeans.fit(matrix)\n", + " inertias.append(kmeans.inertia_)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This will output a chart for us in which we have to visually tell where the optimal cluster point is. We can see below that we see a gradual decrease of inertia rather than a sharp elbow but the point of steepest decrease appears to occur around 3, 4 or 5 clusters which lines up with our expectations given our prompt. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Plotting the elbow plot\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(range_of_clusters, inertias, '-o')\n", + "plt.title('Elbow Method to Determine Optimal Number of Clusters')\n", + "plt.xlabel('Number of Clusters')\n", + "plt.ylabel('Inertia')\n", + "plt.xticks(range_of_clusters)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![elbow_chart](../images/elbow_chart.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NN7NbTmiLe_-" + }, + "source": [ + "For demonstration purposes we will pick 5 as the optimal cluster number to show it doesn't matter exactly where we pick it as long as we are approximately right. There are numerous correct ways to categorize data. We also store which cluster each data point belongs to." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "KvrDe3WYKWgZ", + "outputId": "d0d95227-b9d2-4c52-a5f7-59159ba848d2" + }, + "outputs": [], + "source": [ + "n_clusters = 5\n", + "\n", + "kmeans = KMeans(n_clusters=n_clusters, init=\"k-means++\", random_state=42)\n", + "kmeans.fit(matrix)\n", + "labels = kmeans.labels_\n", + "df[\"Cluster\"] = labels" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "tLvO4AISDM0J" + }, + "source": [ + "We will analyze the cluster data now. There are two separate things we will look to address. 1. imbalanced data, 2. Expanding the data distribution." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "zaQ_mdhpOJqs" + }, + "source": [ + "First for imbalanced data we count the number of examples in each cluster. Then we select a few examples from each cluster at random and ask the LLM what topics these map to. " + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "crUT7OR7QcFD", + "outputId": "04f49ac2-1259-4622-bcf2-0686af93068c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cluster\n", + "0 4\n", + "1 7\n", + "2 6\n", + "3 4\n", + "4 4\n", + "Name: count, dtype: int64\n" + ] + } + ], + "source": [ + "cluster_counts = df[\"Cluster\"].value_counts().sort_index()\n", + "print(cluster_counts)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8i1FGtM-Xx3k" + }, + "source": [ + "We can see the topics found here:\n", + "Eco-friendly Transportation, Luxury and Leisure Items, Personal Care Products, Electronic Toothbrushes and Clothing and Apparel\n", + "match well enough but not exactly to our initial prompt of:\n", + "vehicle, clothing, toiletries, food.\n", + "\n", + "As we chose 5 clusters, it split up toiletries into Skincare and Personal Care which doesn't affect us too much further downstream." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "RRwIet9DUdKe", + "outputId": "8e7835c9-884a-4504-bbed-f556382dd9f5" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[\n", + " {\n", + " \"cluster\": 0,\n", + " \"topic\": \"Electronic Toothbrushes\"\n", + " },\n", + " {\n", + " \"cluster\": 1,\n", + " \"topic\": \"Clothing and Apparel\"\n", + " },\n", + " {\n", + " \"cluster\": 2,\n", + " \"topic\": \"Personal Care Products\"\n", + " },\n", + " {\n", + " \"cluster\": 3,\n", + " \"topic\": \"Eco-friendly Transportation\"\n", + " },\n", + " {\n", + " \"cluster\": 4,\n", + " \"topic\": \"Luxury and Leisure Items\"\n", + " }\n", + "]\n" + ] + } + ], + "source": [ + "selected_examples = df.groupby('Cluster').apply(lambda x: x.sample(3)).reset_index(drop=True)\n", + "\n", + "# Format the selected examples\n", + "formatted_examples = \"\\n\".join(\n", + " f'Input: \"{row[\"Product\"]}, {row[\"Category\"]}\"\\nOutput: \"{row[\"Description\"]}\"\\nCluster: \"{row[\"Cluster\"]}\"'\n", + " for _, row in selected_examples.iterrows()\n", + ")\n", + "\n", + "topic_prompt = f\"\"\"\n", + " I previously generated some examples of input output trainings pairs and then I clustered them based on category. From each cluster I picked 3 example data point which you can find below.\n", + " I want you identify the broad topic areas these clusters belong to.\n", + " Previous examples:\n", + " {formatted_examples}\n", + "\n", + "\n", + " Your output should be strictly of the format:\n", + " Cluster: number, topic: topic\n", + " Cluster: number, topic: topic\n", + " Cluster: number, topic: topic\n", + "\n", + " Do not add any extra characters around that formatting as it will make the output parsing break.\n", + " \"\"\"\n", + "\n", + "response = client.chat.completions.create(\n", + " model=datagen_model,\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant designed analyze clustered data\"},\n", + " {\"role\": \"user\", \"content\": topic_prompt}\n", + " ]\n", + ")\n", + "res = response.choices[0].message.content\n", + "\n", + "pattern = r\"Cluster: (\\d+), topic: ([^\\n]+)\"\n", + "matches = re.findall(pattern, res)\n", + "clusters = [{\"cluster\": int(cluster), \"topic\": topic} for cluster, topic in matches]\n", + "json_output = json.dumps(clusters, indent=2)\n", + "print(json_output)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "x5hszl-SZVdi" + }, + "source": [ + "We now have the clusters and their counts so we could prompt the LLM to generate more examples within the topics we want. However for this example we won't take that further as they are well-split and you would just follow the procedure above for prompting the model to generate data while passing in the underrepresented topics." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "yVD_TPsHYvDb" + }, + "source": [ + "Next, we will try and deal with increasing the diversity of our data distribution. \n", + "\n", + "First we start in a similar way by finding a few examples from each cluster at random and ask the LLM what topics these map to. In addition to this in the same LLM call, we will ask it to generate more topics to increase the diversity of our data. We do this in one call to save time/cost." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 53 + }, + "id": "mZjBbfFaZ3mn", + "outputId": "8864421a-e9d4-4ea6-f747-a76a3291a593" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1. Cluster topic mapping\n", + "Cluster: 0, topic: Electronic/Health Products\n", + "Cluster: 1, topic: Fashion and Food\n", + "Cluster: 2, topic: Personal Care/Wellness\n", + "Cluster: 3, topic: Eco-friendly Transportation\n", + "Cluster: 4, topic: Chocolate/Motorcycles\n", + "\n", + "2. New topics\n", + "1. Home Automation Gadgets\n", + "2. Educational Tools and Apps\n", + "3. Renewable Energy Solutions\n", + "4. Virtual Reality Experiences\n" + ] + } + ], + "source": [ + "selected_examples = df.groupby('Cluster').apply(lambda x: x.sample(3)).reset_index(drop=True)\n", + "\n", + "# Format the selected examples\n", + "formatted_examples = \"\\n\".join(\n", + " f'Input: \"{row[\"Product\"]}, {row[\"Category\"]}\"\\nOutput: \"{row[\"Description\"]}\"\\nCluster: \"{row[\"Cluster\"]}\"'\n", + " for _, row in selected_examples.iterrows()\n", + ")\n", + "\n", + "topic_prompt = f\"\"\"\n", + " I previously generated some examples of input output trainings pairs and then I clustered them based on category. From each cluster I picked 3 example data point which you can find below.\n", + " I want to promote diversity in my examples across categories so follow the procedure below:\n", + " 1. You must identify the broad topic areas these clusters belong to.\n", + " 2. You should generate further topic areas which don't exist so I can generate data within these topics to improve diversity.\n", + "\n", + "\n", + " Previous examples:\n", + " {formatted_examples}\n", + "\n", + "\n", + " Your output should be strictly of the format:\n", + "\n", + " 1. Cluster topic mapping\n", + " Cluster: number, topic: topic\n", + " Cluster: number, topic: topic\n", + " Cluster: number, topic: topic\n", + "\n", + " 2. New topics\n", + " 1. topic\n", + " 2. topic\n", + " 3. topic\n", + " 4. topic\n", + "\n", + " Do not add any extra characters around that formatting as it will make the output parsing break. It is very important you stick to that output format\n", + " \"\"\"\n", + "\n", + "response = client.chat.completions.create(\n", + " model=datagen_model,\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant designed to analyze clustered data\"},\n", + " {\"role\": \"user\", \"content\": topic_prompt}\n", + " ]\n", + ")\n", + "res = response.choices[0].message.content\n", + "print(res)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see here again that we explicitly prompt the output structure it should follow. I also tell it the purpose of generating topics (to promote diversity) so the model has full context." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "s254oJ-Ecka0" + }, + "source": [ + "We then parse the data into a list of cluster-mapping jsons and a list of topics" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "HTS4ybspcivw", + "outputId": "52ea363c-cbf5-420e-b81e-0d2710c50203" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "([{'cluster': 0, 'topic': 'Electronic/Health Products'},\n", + " {'cluster': 1, 'topic': 'Fashion and Food'},\n", + " {'cluster': 2, 'topic': 'Personal Care/Wellness'},\n", + " {'cluster': 3, 'topic': 'Eco-friendly Transportation'},\n", + " {'cluster': 4, 'topic': 'Chocolate/Motorcycles'}],\n", + " ['Home Automation Gadgets',\n", + " 'Educational Tools and Apps',\n", + " 'Renewable Energy Solutions',\n", + " 'Virtual Reality Experiences'])" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "parts = res.split(\"\\n\\n\")\n", + "cluster_mapping_part = parts[0]\n", + "new_topics_part = parts[1]\n", + "\n", + "# Parse cluster topic mapping\n", + "cluster_topic_mapping_lines = cluster_mapping_part.split(\"\\n\")[1:] # Skip the first two lines\n", + "cluster_topic_mapping = [{\"cluster\": int(line.split(\",\")[0].split(\":\")[1].strip()), \"topic\": line.split(\":\")[2].strip()} for line in cluster_topic_mapping_lines]\n", + "\n", + "# Parse new topics\n", + "new_topics_lines = new_topics_part.split(\"\\n\")[1:] # Skip the first line\n", + "new_topics = [line.split(\". \")[1] for line in new_topics_lines]\n", + "\n", + "cluster_topic_mapping, new_topics" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CX26-PGdcui0" + }, + "source": [ + "And finally we can use this information to further prompt a model to keep generating synthetic data. We do this by passing all the topics in the list of jsons to the prompt below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "zHf4LnVk0aHw" + }, + "outputs": [], + "source": [ + "output_string = \"\"\n", + "for i in range(3):\n", + " question = f\"\"\"\n", + " I am creating input output training pairs to fine tune my gpt model. I want the input to be product name and category and output to be description. the category should be things like: mobile phones, shoes, headphones, laptop, electronic toothbrush, etc. and also more importantly the categories should come under some main topics: {[entry['topic'] for entry in cluster_topic_mapping]})\n", + " After the number of each example also state the topic area. The format should be of the form:\n", + " 1. topic_area\n", + " Input: product_name, category\n", + " Output: description\n", + "\n", + " Do not add any extra characters around that formatting as it will make the output parsing break.\n", + "\n", + " Here are some helpful examples so you get the style of output correct.\n", + "\n", + " 1) clothing\n", + " Input: \"Shoe Name, Shoes\"\n", + " Output: \"Experience unparalleled comfort. These shoes feature a blend of modern style and the traditional superior cushioning, perfect for those always on the move.\"\n", + " \"\"\"\n", + "\n", + " response = client.chat.completions.create(\n", + " model=\"gpt-4\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": \"You are a helpful assistant designed to generate synthetic data.\"},\n", + " {\"role\": \"user\", \"content\": question}\n", + " ]\n", + " )\n", + " res = response.choices[0].message.content\n", + " output_string += res + \"\\n\" + \"\\n\"\n", + "print(output_string)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RQMHQxnZdRug" + }, + "source": [ + "You can run this in a loop to append to your previous data and in this way you can keep generating more textual synthetic data to train another GPT model while making sure that we cater to imbalanced datasets and generating a diversity of data." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Hiim8Xg5djGH" + }, + "source": [ + "You have now completed part 1 of the synthetic data generation tutorial where we have gone through:\n", + "* CSV with a structured prompt\n", + "* CSV with a Python program\n", + "* Multitable CSV with a python program\n", + "* Simply creating textual data\n", + "* Dealing with imbalanced or non-diverse textual data\n", + "\n", + "In part 2 you will find find out techniques for better prompting an LLM to enhance textual synthetic data generation." + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/images/elbow_chart.png b/images/elbow_chart.png new file mode 100644 index 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    I#LQlt?P;T6(;H(pS-Yu%MDifv*`Rw#`n83k+3D!^vHx7DcG7*p)!r}D=9aA-J zoBK{A^CH4=r7Y$A%J+9(YnNHW3b&d2G<;PS=*3E2yzHRjsxh6jsm5lY0C5=b`W|lP zj=7_fK%&i6py5t4I^gmyn6wsfh@=vbVktDVxu?4c(63qNphp=75{Yu!PtfstWA!q; zUgM6V!mnh$<{|0&VT(xTLK;JFHfJgAm?9*AGqyxR(kiM*SIfsmohLSQ-U?Phlg{l; z)DR*Eoiw5@@kA*Hz7}C~70uLx9n5oG;)k!dlu0QINt7xG0i!z9_@RdCRv+4LmC^n- z&rwUJJfADyZ%wm9Ax_I|>? zGn*OFH1^Dl?;sN7j@Fb@olkNPw^Xi%Q8=8z_RuoE(eUii$}d;+Z*^o;?{80_0dwMg z=Q<);s=efWw4`>jOG*^KwcAKk8}bLa+XP4iKMryh_g0_&F2cQ(3UI@bPrm$3`THG9 z{QJeI^u}r+(HDabPMpnVQkP979KJG1fW7oiU0rr literal 0 HcmV?d00001 diff --git a/registry.yaml b/registry.yaml index a6a655d..49abc42 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1242,6 +1242,25 @@ - teomusatoiu tags: - moderation + + +- title: Summarizing with controllable detail + path: examples/Summarizing_with_controllable_detail.ipynb + date: 2024-04-01 + authors: + - joe-at-openai + tags: + - chat + + +- title: Synthetic data generation (Part 1) + path: examples/SDG1.ipynb + date: 2024-04-10 + authors: + - dylanra-openai + tags: + - completions + - title: CLIP embeddings to improve multimodal RAG with GPT-4 Vision path: examples/custom_image_embedding_search.ipynb @@ -1251,11 +1270,4 @@ tags: - vision - embeddings - -- title: Summarizing with controllable detail - path: examples/Summarizing_with_controllable_detail.ipynb - date: 2024-04-01 - authors: - - joe-at-openai - tags: - - chat + \ No newline at end of file From 0c010b211a3ace9ccbfd6f48158bd1820089e5b9 Mon Sep 17 00:00:00 2001 From: Shyamal H Anadkat Date: Wed, 10 Apr 2024 08:53:14 -0700 Subject: [PATCH 31/44] Adds notebook for GPTV with function calling (#1139) --- ...ng_GPT4_Vision_With_Function_Calling.ipynb | 574 ++++++++++++++++++ examples/multimodal/data/org-chart-sample.pdf | Bin 0 -> 1098760 bytes .../multimodal/images/damaged_package.jpg | Bin 0 -> 80127 bytes examples/multimodal/images/normal_package.jpg | Bin 0 -> 77616 bytes examples/multimodal/images/wet_package.jpg | Bin 0 -> 42794 bytes registry.yaml | 9 +- 6 files changed, 582 insertions(+), 1 deletion(-) create mode 100644 examples/multimodal/Using_GPT4_Vision_With_Function_Calling.ipynb create mode 100644 examples/multimodal/data/org-chart-sample.pdf create mode 100644 examples/multimodal/images/damaged_package.jpg create mode 100644 examples/multimodal/images/normal_package.jpg create mode 100644 examples/multimodal/images/wet_package.jpg diff --git a/examples/multimodal/Using_GPT4_Vision_With_Function_Calling.ipynb b/examples/multimodal/Using_GPT4_Vision_With_Function_Calling.ipynb new file mode 100644 index 0000000..5ca2869 --- /dev/null +++ b/examples/multimodal/Using_GPT4_Vision_With_Function_Calling.ipynb @@ -0,0 +1,574 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# How to use GPT-4 Vision with Function Calling \n", + "\n", + "The new GPT-4 Turbo model, available as gpt-4-turbo-2024-04-09 as of April 2024, now enables function calling with vision capabilities, better reasoning and a knowledge cutoff date of Dec 2023. Using images with function calling will unlock multimodal use cases and the ability to use reasoning, allowing you to go beyond OCR and image descriptions.\n", + "\n", + "We will go through two examples to demonstrate the use of function calling with GPT-4 Turbo with Vision:\n", + "\n", + "1. Simulating a customer service assistant for delivery exception support\n", + "2. Analyzing an organizational chart to extract employee information" + ], + "metadata": { + "collapsed": false + }, + "id": "7b3d17451440ca82" + }, + { + "cell_type": "markdown", + "source": [ + "### Installation and Setup" + ], + "metadata": { + "collapsed": false + }, + "id": "feffa794bc28be22" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "!pip install pymupdf --quiet\n", + "!pip install openai --quiet\n", + "!pip install matplotlib --quiet\n", + "# instructor makes it easy to work with function calling\n", + "!pip install instructor --quiet" + ], + "metadata": { + "collapsed": false + }, + "id": "6ce24dfd4e4bbc47", + "execution_count": null + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "initial_id", + "metadata": { + "collapsed": true, + "ExecuteTime": { + "end_time": "2024-04-10T03:50:37.564145Z", + "start_time": "2024-04-10T03:50:37.560040Z" + } + }, + "outputs": [], + "source": [ + "import base64\n", + "import os\n", + "from enum import Enum\n", + "from io import BytesIO\n", + "from typing import Iterable\n", + "from typing import List\n", + "from typing import Literal, Optional\n", + "\n", + "import fitz\n", + "# Instructor is powered by Pydantic, which is powered by type hints. Schema validation, prompting is controlled by type annotations\n", + "import instructor\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "from IPython.display import display\n", + "from PIL import Image\n", + "from openai import OpenAI\n", + "from pydantic import BaseModel, Field" + ] + }, + { + "cell_type": "markdown", + "source": [ + "## 1. Simulating a customer service assistant for delivery exception support\n", + "We will simulate a customer service assistant for a delivery service that is equipped to analyze images of packages. The assistant will perform the following actions based on the image analysis:\n", + "- If a package appears damaged in the image, automatically process a refund according to policy.\n", + "- If the package looks wet, initiate a replacement.\n", + "- If the package appears normal and not damaged, escalate to an agent." + ], + "metadata": { + "collapsed": false + }, + "id": "14ab8f931cc759d" + }, + { + "cell_type": "markdown", + "source": [ + "Let's look at the sample images of packages that the customer service assistant will analyze to determine the appropriate action. We will encode the images as base64 strings for processing by the model." + ], + "metadata": { + "collapsed": false + }, + "id": "ca35604f27f93e77" + }, + { + "cell_type": "code", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Encoded image: wet_package.jpg\n", + "Encoded image: damaged_package.jpg\n", + "Encoded image: normal_package.jpg\n" + ] + }, + { + "data": { + "text/plain": "

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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Function to encode the image as base64\n", + "def encode_image(image_path: str):\n", + " # check if the image exists\n", + " if not os.path.exists(image_path):\n", + " raise FileNotFoundError(f\"Image file not found: {image_path}\")\n", + " with open(image_path, \"rb\") as image_file:\n", + " return base64.b64encode(image_file.read()).decode('utf-8')\n", + "\n", + "\n", + "# Sample images for testing\n", + "image_dir = \"images\"\n", + "\n", + "# encode all images within the directory\n", + "image_files = os.listdir(image_dir)\n", + "image_data = {}\n", + "for image_file in image_files:\n", + " image_path = os.path.join(image_dir, image_file)\n", + " # encode the image with key as the image file name\n", + " image_data[image_file.split('.')[0]] = encode_image(image_path)\n", + " print(f\"Encoded image: {image_file}\")\n", + "\n", + "\n", + "def display_images(image_data: dict):\n", + " fig, axs = plt.subplots(1, 3, figsize=(18, 6))\n", + " for i, (key, value) in enumerate(image_data.items()):\n", + " img = Image.open(BytesIO(base64.b64decode(value)))\n", + " ax = axs[i]\n", + " ax.imshow(img)\n", + " ax.axis(\"off\")\n", + " ax.set_title(key)\n", + " plt.tight_layout()\n", + " plt.show()\n", + "\n", + "\n", + "display_images(image_data)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-10T03:50:38.120670Z", + "start_time": "2024-04-10T03:50:37.565555Z" + } + }, + "id": "2f2066d40dbbfbe8", + "execution_count": 45 + }, + { + "cell_type": "markdown", + "source": [ + "We have successfully encoded the sample images as base64 strings and displayed them. The customer service assistant will analyze these images to determine the appropriate action based on the package condition.\n", + "\n", + "Let's now define the functions/tools for order processing, such as escalating an order to an agent, refunding an order, and replacing an order. We will create placeholder functions to simulate the processing of these actions based on the identified tools. We will be using Pydantic models to define the structure of the data for order actions.\n" + ], + "metadata": { + "collapsed": false + }, + "id": "f4b16c5219dff6db" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "MODEL = \"gpt-4-turbo-2024-04-09\"\n", + "\n", + "class Order(BaseModel):\n", + " \"\"\"Represents an order with details such as order ID, customer name, product name, price, status, and delivery date.\"\"\"\n", + " order_id: str = Field(..., description=\"The unique identifier of the order\")\n", + " product_name: str = Field(..., description=\"The name of the product\")\n", + " price: float = Field(..., description=\"The price of the product\")\n", + " status: str = Field(..., description=\"The status of the order\")\n", + " delivery_date: str = Field(..., description=\"The delivery date of the order\")\n", + "# Placeholder functions for order processing\n", + "\n", + "def get_order_details(order_id):\n", + " # Placeholder function to retrieve order details based on the order ID\n", + " return Order(\n", + " order_id=order_id,\n", + " product_name=\"Product X\",\n", + " price=100.0,\n", + " status=\"Delivered\",\n", + " delivery_date=\"2024-04-10\",\n", + " )\n", + "\n", + "def escalate_to_agent(order: Order, message: str):\n", + " # Placeholder function to escalate the order to a human agent\n", + " return f\"Order {order.order_id} has been escalated to an agent with message: `{message}`\"\n", + "\n", + "def refund_order(order: Order):\n", + " # Placeholder function to process a refund for the order\n", + " return f\"Order {order.order_id} has been refunded successfully.\"\n", + "\n", + "def replace_order(order: Order):\n", + " # Placeholder function to replace the order with a new one\n", + " return f\"Order {order.order_id} has been replaced with a new order.\"\n", + "\n", + "class FunctionCallBase(BaseModel):\n", + " rationale: Optional[str] = Field(..., description=\"The reason for the action.\")\n", + " image_description: Optional[str] = Field(\n", + " ..., description=\"The detailed description of the package image.\"\n", + " )\n", + " action: Literal[\"escalate_to_agent\", \"replace_order\", \"refund_order\"]\n", + " message: Optional[str] = Field(\n", + " ...,\n", + " description=\"The message to be escalated to the agent if action is escalate_to_agent\",\n", + " )\n", + " # Placeholder functions to process the action based on the order ID\n", + " def __call__(self, order_id):\n", + " order: Order = get_order_details(order_id=order_id)\n", + " if self.action == \"escalate_to_agent\":\n", + " return escalate_to_agent(order, self.message)\n", + " if self.action == \"replace_order\":\n", + " return replace_order(order)\n", + " if self.action == \"refund_order\":\n", + " return refund_order(order)\n", + "\n", + "class EscalateToAgent(FunctionCallBase):\n", + " \"\"\"Escalate to an agent for further assistance.\"\"\"\n", + " pass\n", + "\n", + "class OrderActionBase(FunctionCallBase):\n", + " pass\n", + "\n", + "class ReplaceOrder(OrderActionBase):\n", + " \"\"\"Tool call to replace an order.\"\"\"\n", + " pass\n", + "\n", + "class RefundOrder(OrderActionBase):\n", + " \"\"\"Tool call to refund an order.\"\"\"\n", + " pass" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-10T03:50:38.135826Z", + "start_time": "2024-04-10T03:50:38.122420Z" + } + }, + "id": "115b5a0bf208b054", + "execution_count": 46 + }, + { + "cell_type": "markdown", + "source": [ + "### Simulating user messages and processing the package images\n", + "\n", + "We will simulate user messages containing the package images and process the images using the GPT-4 Turbo with Vision model. The model will identify the appropriate tool call based on the image analysis and the predefined actions for damaged, wet, or normal packages. We will then process the identified action based on the order ID and display the results." + ], + "metadata": { + "collapsed": false + }, + "id": "5716c84cb57e3fb3" + }, + { + "cell_type": "code", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Processing delivery exception support for different package images...\n", + "\n", + "===================== Simulating user message 1 =====================\n", + "- Tool call: refund_order for provided img: damaged_package\n", + "- Parameters: rationale='The package is visibly damaged with significant tears and crushing, indicating potential harm to the contents.' image_description='The package in the image shows extensive damage, including deep creases and tears in the cardboard. The package is also wrapped with extra tape, suggesting prior attempts to secure it after damage.' action='refund_order' message=None\n", + ">> Action result: Order 12345 has been refunded successfully.\n", + "\n", + "===================== Simulating user message 2 =====================\n", + "- Tool call: escalate_to_agent for provided img: normal_package\n", + "- Parameters: rationale='The package appears normal and not damaged, requiring further assistance for any potential issues not visible in the image.' image_description='A cardboard box on a wooden floor, appearing intact and undamaged, with no visible signs of wear, tear, or wetness.' action='escalate_to_agent' message='Please review this package for any issues not visible in the image. The package appears normal and undamaged.'\n", + ">> Action result: Order 12345 has been escalated to an agent with message: `Please review this package for any issues not visible in the image. The package appears normal and undamaged.`\n", + "\n", + "===================== Simulating user message 3 =====================\n", + "- Tool call: replace_order for provided img: wet_package\n", + "- Parameters: rationale='The package appears wet, which may have compromised the contents, especially since it is labeled as fragile.' image_description=\"The package in the image shows significant wetness on the top surface, indicating potential water damage. The box is labeled 'FRAGILE', which suggests that the contents are delicate and may be more susceptible to damage from moisture.\" action='replace_order' message=None\n", + ">> Action result: Order 12345 has been replaced with a new order.\n" + ] + } + ], + "source": [ + "# extract the tool call from the response\n", + "ORDER_ID = \"12345\" # Placeholder order ID for testing\n", + "INSTRUCTION_PROMPT = \"You are a customer service assistant for a delivery service, equipped to analyze images of packages. If a package appears damaged in the image, automatically process a refund according to policy. If the package looks wet, initiate a replacement. If the package appears normal and not damaged, escalate to agent. For any other issues or unclear images, escalate to agent. You must always use tools!\"\n", + "\n", + "def delivery_exception_support_handler(test_image: str):\n", + " payload = {\n", + " \"model\": MODEL,\n", + " \"response_model\": Iterable[RefundOrder | ReplaceOrder | EscalateToAgent],\n", + " \"tool_choice\": \"auto\", # automatically select the tool based on the context\n", + " \"temperature\": 0.0, # for less diversity in responses\n", + " \"seed\": 123, # Set a seed for reproducibility\n", + " }\n", + " payload[\"messages\"] = [\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": INSTRUCTION_PROMPT,\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\n", + " \"type\": \"image_url\",\n", + " \"image_url\": {\n", + " \"url\": f\"data:image/jpeg;base64,{image_data[test_image]}\"\n", + " }\n", + " },\n", + " ],\n", + " }\n", + " ]\n", + " function_calls = instructor.from_openai(\n", + " OpenAI(), mode=instructor.Mode.PARALLEL_TOOLS\n", + " ).chat.completions.create(**payload)\n", + " for tool in function_calls:\n", + " print(f\"- Tool call: {tool.action} for provided img: {test_image}\")\n", + " print(f\"- Parameters: {tool}\")\n", + " print(f\">> Action result: {tool(ORDER_ID)}\")\n", + " return tool\n", + "\n", + "\n", + "print(\"Processing delivery exception support for different package images...\")\n", + "\n", + "print(\"\\n===================== Simulating user message 1 =====================\")\n", + "assert delivery_exception_support_handler(\"damaged_package\").action == \"refund_order\"\n", + "\n", + "print(\"\\n===================== Simulating user message 2 =====================\")\n", + "assert delivery_exception_support_handler(\"normal_package\").action == \"escalate_to_agent\"\n", + "\n", + "print(\"\\n===================== Simulating user message 3 =====================\")\n", + "assert delivery_exception_support_handler(\"wet_package\").action == \"replace_order\"" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-10T03:50:53.927476Z", + "start_time": "2024-04-10T03:50:38.136857Z" + } + }, + "id": "dacd602d9e2728d9", + "execution_count": 47 + }, + { + "cell_type": "markdown", + "source": [ + "## 2. Analyzing an organizational chart to extract employee information\n", + "\n", + "For the second example, we will analyze an organizational chart image to extract employee information, such as employee names, roles, managers, and manager roles. We will use GPT-4 Turbo with Vision to process the organizational chart image and extract structured data about the employees in the organization. Indeed, function calling lets us go beyond OCR to actually deduce and translate hierarchical relationships within the chart.\n", + "\n", + "We will start with a sample organizational chart in PDF format that we want to analyze and convert the first page of the PDF to a JPEG image for analysis." + ], + "metadata": { + "collapsed": false + }, + "id": "78604bb7ff61b472" + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": "", + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Function to convert a single page PDF page to a JPEG image\n", + "def convert_pdf_page_to_jpg(pdf_path: str, output_path: str, page_number=0):\n", + " if not os.path.exists(pdf_path):\n", + " raise FileNotFoundError(f\"PDF file not found: {pdf_path}\")\n", + " doc = fitz.open(pdf_path)\n", + " page = doc.load_page(page_number) # 0 is the first page\n", + " pix = page.get_pixmap()\n", + " # Save the pixmap as a JPEG\n", + " pix.save(output_path)\n", + "\n", + "\n", + "def display_img_local(image_path: str):\n", + " img = Image.open(image_path)\n", + " display(img)\n", + "\n", + "\n", + "pdf_path = 'data/org-chart-sample.pdf'\n", + "output_path = 'org-chart-sample.jpg'\n", + "\n", + "convert_pdf_page_to_jpg(pdf_path, output_path)\n", + "display_img_local(output_path)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-10T03:50:54.033536Z", + "start_time": "2024-04-10T03:50:53.929732Z" + } + }, + "id": "c3fc6f64b2a2f8e6", + "execution_count": 48 + }, + { + "cell_type": "markdown", + "source": [ + "The organizational chart image has been successfully extracted from the PDF file and displayed. Let's now define a function to analyze the organizational chart image using the new GPT4 Turbo with Vision. The function will extract information about the employees, their roles, and their managers from the image. We will use function/tool calling to specify the input parameters for the organizational structure, such as the employee name, role, and manager's name and role. We will use Pydantic models to define the structure of the data.\n" + ], + "metadata": { + "collapsed": false + }, + "id": "5f6b4299c99721bc" + }, + { + "cell_type": "code", + "outputs": [], + "source": [ + "base64_img = encode_image(output_path)\n", + "\n", + "class RoleEnum(str, Enum):\n", + " \"\"\"Defines possible roles within an organization.\"\"\"\n", + " CEO = \"CEO\"\n", + " CTO = \"CTO\"\n", + " CFO = \"CFO\"\n", + " COO = \"COO\"\n", + " EMPLOYEE = \"Employee\"\n", + " MANAGER = \"Manager\"\n", + " INTERN = \"Intern\"\n", + " OTHER = \"Other\"\n", + "\n", + "class Employee(BaseModel):\n", + " \"\"\"Represents an employee, including their name, role, and optional manager information.\"\"\"\n", + " employee_name: str = Field(..., description=\"The name of the employee\")\n", + " role: RoleEnum = Field(..., description=\"The role of the employee\")\n", + " manager_name: Optional[str] = Field(None, description=\"The manager's name, if applicable\")\n", + " manager_role: Optional[RoleEnum] = Field(None, description=\"The manager's role, if applicable\")\n", + "\n", + "\n", + "class EmployeeList(BaseModel):\n", + " \"\"\"A list of employees within the organizational structure.\"\"\"\n", + " employees: List[Employee] = Field(..., description=\"A list of employees\")\n", + "\n", + "def parse_orgchart(base64_img: str) -> EmployeeList:\n", + " response = instructor.from_openai(OpenAI()).chat.completions.create(\n", + " model='gpt-4-turbo',\n", + " response_model=EmployeeList,\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": 'Analyze the given organizational chart and very carefully extract the information.',\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\n", + " \"type\": \"image_url\",\n", + " \"image_url\": {\n", + " \"url\": f\"data:image/jpeg;base64,{base64_img}\"\n", + " }\n", + " },\n", + " ],\n", + " }\n", + " ],\n", + " )\n", + " return response" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-10T03:50:54.043273Z", + "start_time": "2024-04-10T03:50:54.034475Z" + } + }, + "id": "b11469486fc95c23", + "execution_count": 49 + }, + { + "cell_type": "markdown", + "source": [ + "Now, we will define a function to parse the response from GPT-4 Turbo with Vision and extract the employee data. We will tabulate the extracted data for easy visualization. Please note that the accuracy of the extracted data may vary based on the complexity and clarity of the input image." + ], + "metadata": { + "collapsed": false + }, + "id": "73619ee88ed5cd2" + }, + { + "cell_type": "code", + "outputs": [ + { + "data": { + "text/plain": " employee_name role manager_name manager_role\n0 Juliana Silva CEO None None\n1 Kim Chun Hei CFO Juliana Silva CEO\n2 Chad Gibbons CTO Juliana Silva CEO\n3 Chiaki Sato COO Juliana Silva CEO\n4 Cahaya Dewi Manager Kim Chun Hei CFO\n5 Shawn Garcia Manager Chad Gibbons CTO\n6 Aaron Loeb Manager Chiaki Sato COO\n7 Drew Feig Employee Cahaya Dewi Manager\n8 Richard Sanchez Employee Cahaya Dewi Manager\n9 Sacha Dubois Intern Cahaya Dewi Manager\n10 Olivia Wilson Employee Shawn Garcia Manager\n11 Matt Zhang Intern Shawn Garcia Manager\n12 Avery Davis Employee Aaron Loeb Manager\n13 Harper Russo Employee Aaron Loeb Manager\n14 Taylor Alonso Intern Aaron Loeb Manager", + "text/html": "
    \n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    employee_namerolemanager_namemanager_role
    0Juliana SilvaCEONoneNone
    1Kim Chun HeiCFOJuliana SilvaCEO
    2Chad GibbonsCTOJuliana SilvaCEO
    3Chiaki SatoCOOJuliana SilvaCEO
    4Cahaya DewiManagerKim Chun HeiCFO
    5Shawn GarciaManagerChad GibbonsCTO
    6Aaron LoebManagerChiaki SatoCOO
    7Drew FeigEmployeeCahaya DewiManager
    8Richard SanchezEmployeeCahaya DewiManager
    9Sacha DuboisInternCahaya DewiManager
    10Olivia WilsonEmployeeShawn GarciaManager
    11Matt ZhangInternShawn GarciaManager
    12Avery DavisEmployeeAaron LoebManager
    13Harper RussoEmployeeAaron LoebManager
    14Taylor AlonsoInternAaron LoebManager
    \n
    " + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# call the functions to analyze the organizational chart and parse the response\n", + "result = parse_orgchart(base64_img)\n", + "\n", + "# tabulate the extracted data\n", + "df = pd.DataFrame([{\n", + " 'employee_name': employee.employee_name,\n", + " 'role': employee.role.value,\n", + " 'manager_name': employee.manager_name,\n", + " 'manager_role': employee.manager_role.value if employee.manager_role else None\n", + "} for employee in result.employees])\n", + "\n", + "display(df)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-10T03:51:03.255172Z", + "start_time": "2024-04-10T03:50:54.044659Z" + } + }, + "id": "962c5ea24b8a9dc9", + "execution_count": 50 + }, + { + "cell_type": "markdown", + "source": [ + "The extracted data from the organizational chart has been successfully parsed and displayed in a DataFrame. This approach allows us to leverage GPT-4 Turbo with Vision capabilities to extract structured information from images, such as organizational charts and diagrams, and process the data for further analysis. By using function calling, we can extend the functionality of multimodal models to perform specific tasks or call external functions." + ], + "metadata": { + "collapsed": false + }, + "id": "c55b5fbf97ae7ba8" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/multimodal/data/org-chart-sample.pdf b/examples/multimodal/data/org-chart-sample.pdf new file mode 100644 index 0000000000000000000000000000000000000000..4f34935667a76c040a177f7b8ea51e505b25cfbf GIT binary patch literal 1098760 zcmaI71yEc|v^AXI&LF{M2oT&MxDD9GbTqL+5fDIOQTK8(2eOD6 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+1278,3 @@ tags: - vision - embeddings - \ No newline at end of file From 43bd32a3eee3c00ccd58a83eedd3db46ae7fd1f6 Mon Sep 17 00:00:00 2001 From: Shyamal H Anadkat Date: Wed, 10 Apr 2024 09:26:50 -0700 Subject: [PATCH 32/44] Update Summarizing_with_controllable_detail.ipynb (#1140) --- ...Summarizing_with_controllable_detail.ipynb | 332 +++++++++++------- 1 file changed, 213 insertions(+), 119 deletions(-) diff --git a/examples/Summarizing_with_controllable_detail.ipynb b/examples/Summarizing_with_controllable_detail.ipynb index b08ded4..78e1db6 100644 --- a/examples/Summarizing_with_controllable_detail.ipynb +++ b/examples/Summarizing_with_controllable_detail.ipynb @@ -4,32 +4,46 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Summarizing with Controllable Detail" + "# Summarization with Controllable Detail" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "The objective of this notebook is to demonstrate how to summarize large documents with a controllable level of detail. If you give a GPT model the task of summarizing a long document (e.g. 10k or more tokens), you'll tend to get back a relatively short summary that isn't proportional to the length of the document. For instance, a summary of a 20k token document will not be twice as long as a summary of a 10k token document. One way we can fix this is to split our document up into pieces, and produce a summary piecewise. After many queries to a GPT model, the full summary can be reconstructed. By controlling the number of text chunks and their sizes, we can ultimately control the level of detail in the output." + "The objective of this notebook is to demonstrate how to summarize large documents with a controllable level of detail.\n", + " \n", + "If you give a GPT model the task of summarizing a long document (e.g. 10k or more tokens), you'll tend to get back a relatively short summary that isn't proportional to the length of the document. For instance, a summary of a 20k token document will not be twice as long as a summary of a 10k token document. One way we can fix this is to split our document up into pieces, and produce a summary piecewise. After many queries to a GPT model, the full summary can be reconstructed. By controlling the number of text chunks and their sizes, we can ultimately control the level of detail in the output." ] }, { "cell_type": "code", - "execution_count": 1, - "metadata": {}, + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.305706Z", + "start_time": "2024-04-10T05:19:35.303535Z" + } + }, "outputs": [], "source": [ - "import openai\n", - "import tiktoken\n", + "import os\n", "from typing import List, Tuple, Optional\n", + "\n", + "from openai import OpenAI\n", + "import tiktoken\n", "from tqdm import tqdm" ] }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.325026Z", + "start_time": "2024-04-10T05:19:35.322414Z" + } + }, "outputs": [], "source": [ "# open dataset containing part of the text of the Wikipedia page for the United States\n", @@ -39,14 +53,19 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": {}, + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.364483Z", + "start_time": "2024-04-10T05:19:35.348213Z" + } + }, "outputs": [ { "data": { "text/plain": "15781" }, - "execution_count": 3, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -66,17 +85,24 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": {}, + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.375619Z", + "start_time": "2024-04-10T05:19:35.365818Z" + } + }, "outputs": [], "source": [ + "client = OpenAI(api_key=os.getenv(\"OPENAI_API_KEY\"))\n", + "\n", "def get_chat_completion(messages, model='gpt-3.5-turbo'):\n", - " response = openai.ChatCompletion.create(\n", + " response = client.chat.completions.create(\n", " model=model,\n", " messages=messages,\n", " temperature=0,\n", " )\n", - " return response.choices[0].message['content']" + " return response.choices[0].message.content" ] }, { @@ -88,8 +114,13 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, + "execution_count": 45, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.382790Z", + "start_time": "2024-04-10T05:19:35.376721Z" + } + }, "outputs": [], "source": [ "def tokenize(text: str) -> List[str]:\n", @@ -97,7 +128,9 @@ " return encoding.encode(text)\n", "\n", "\n", - "def chunk_on_delimiter(input_string, max_tokens, delimiter):\n", + "# This function chunks a text into smaller pieces based on a maximum token count and a delimiter.\n", + "def chunk_on_delimiter(input_string: str,\n", + " max_tokens: int, delimiter: str) -> List[str]:\n", " chunks = input_string.split(delimiter)\n", " combined_chunks, _, dropped_chunk_count = combine_chunks_with_no_minimum(\n", " chunks, max_tokens, chunk_delimiter=delimiter, add_ellipsis_for_overflow=True\n", @@ -108,12 +141,13 @@ " return combined_chunks\n", "\n", "\n", + "# This function combines text chunks into larger blocks without exceeding a specified token count. It returns the combined text blocks, their original indices, and the count of chunks dropped due to overflow.\n", "def combine_chunks_with_no_minimum(\n", - " chunks: List[str],\n", - " max_tokens: int,\n", - " chunk_delimiter=\"\\n\\n\",\n", - " header: Optional[str] = None,\n", - " add_ellipsis_for_overflow=False,\n", + " chunks: List[str],\n", + " max_tokens: int,\n", + " chunk_delimiter=\"\\n\\n\",\n", + " header: Optional[str] = None,\n", + " add_ellipsis_for_overflow=False,\n", ") -> Tuple[List[str], List[int]]:\n", " dropped_chunk_count = 0\n", " output = [] # list to hold the final combined chunks\n", @@ -127,8 +161,8 @@ " if len(tokenize(chunk_delimiter.join(chunk_with_header))) > max_tokens:\n", " print(f\"warning: chunk overflow\")\n", " if (\n", - " add_ellipsis_for_overflow\n", - " and len(tokenize(chunk_delimiter.join(candidate + [\"...\"]))) <= max_tokens\n", + " add_ellipsis_for_overflow\n", + " and len(tokenize(chunk_delimiter.join(candidate + [\"...\"]))) <= max_tokens\n", " ):\n", " candidate.append(\"...\")\n", " dropped_chunk_count += 1\n", @@ -156,13 +190,20 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now we can define a utility to summarize text with a controllable level of detail (note the detail parameter)." + "Now we can define a utility to summarize text with a controllable level of detail (note the detail parameter).\n", + "\n", + "The function first determines the number of chunks by interpolating between a minimum and a maximum chunk count based on a controllable detail parameter. It then splits the text into chunks and summarizes each chunk." ] }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, + "execution_count": 46, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.390876Z", + "start_time": "2024-04-10T05:19:35.385076Z" + } + }, "outputs": [], "source": [ "def summarize(text: str,\n", @@ -171,7 +212,7 @@ " additional_instructions: Optional[str] = None,\n", " minimum_chunk_size: Optional[int] = 500,\n", " chunk_delimiter: str = \".\",\n", - " summarize_recursively = False,\n", + " summarize_recursively=False,\n", " verbose=False):\n", " \"\"\"\n", " Summarizes a given text by splitting it into chunks, each of which is summarized individually. \n", @@ -195,7 +236,7 @@ " It then splits the text into chunks and summarizes each chunk. If `summarize_recursively` is True, each summary is based on the previous summaries, \n", " adding more context to the summarization process. The function returns a compiled summary of all chunks.\n", " \"\"\"\n", - " \n", + "\n", " # check detail is set correctly\n", " assert 0 <= detail <= 1\n", "\n", @@ -254,8 +295,13 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": {}, + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:47.541096Z", + "start_time": "2024-04-10T05:19:35.391911Z" + } + }, "outputs": [ { "name": "stdout", @@ -269,7 +315,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1/1 [00:05<00:00, 5.98s/it]\n" + "100%|██████████| 1/1 [00:07<00:00, 7.31s/it]\n" ] } ], @@ -279,8 +325,13 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:58.724212Z", + "start_time": "2024-04-10T05:19:47.542129Z" + } + }, "outputs": [ { "name": "stdout", @@ -294,7 +345,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 5/5 [00:15<00:00, 3.18s/it]\n" + "100%|██████████| 5/5 [00:09<00:00, 1.97s/it]\n" ] } ], @@ -304,8 +355,13 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": {}, + "execution_count": 49, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:20:16.216023Z", + "start_time": "2024-04-10T05:19:58.725014Z" + } + }, "outputs": [ { "name": "stdout", @@ -319,7 +375,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 8/8 [00:19<00:00, 2.46s/it]\n" + "100%|██████████| 8/8 [00:16<00:00, 2.08s/it]\n" ] } ], @@ -329,8 +385,13 @@ }, { "cell_type": "code", - "execution_count": 10, - "metadata": {}, + "execution_count": 50, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:20:46.941240Z", + "start_time": "2024-04-10T05:20:16.225524Z" + } + }, "outputs": [ { "name": "stdout", @@ -344,7 +405,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 14/14 [00:37<00:00, 2.69s/it]\n" + "100%|██████████| 14/14 [00:30<00:00, 2.15s/it]\n" ] } ], @@ -354,8 +415,13 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, + "execution_count": 51, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:21:44.913140Z", + "start_time": "2024-04-10T05:20:46.953285Z" + } + }, "outputs": [ { "name": "stdout", @@ -369,7 +435,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 27/27 [01:20<00:00, 2.99s/it]\n" + "100%|██████████| 27/27 [00:57<00:00, 2.13s/it]\n" ] } ], @@ -379,8 +445,13 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": {}, + "execution_count": 52, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:22:57.760218Z", + "start_time": "2024-04-10T05:21:44.921275Z" + } + }, "outputs": [ { "name": "stdout", @@ -394,7 +465,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 33/33 [01:25<00:00, 2.58s/it]\n" + "100%|██████████| 33/33 [01:12<00:00, 2.20s/it]\n" ] } ], @@ -411,46 +482,58 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, + "execution_count": 53, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:22:57.782389Z", + "start_time": "2024-04-10T05:22:57.763041Z" + } + }, "outputs": [ { "data": { - "text/plain": "[291, 681, 965, 1734, 3542, 4182]" + "text/plain": "[307, 494, 839, 1662, 3552, 4128]" }, - "execution_count": 13, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# lengths of summaries\n", - "[len(tokenize(x)) for x in [summary_with_detail_0, summary_with_detail_pt1, summary_with_detail_pt2, summary_with_detail_pt4, summary_with_detail_pt8, summary_with_detail_1]]" + "[len(tokenize(x)) for x in\n", + " [summary_with_detail_0, summary_with_detail_pt1, summary_with_detail_pt2, summary_with_detail_pt4,\n", + " summary_with_detail_pt8, summary_with_detail_1]]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Let's inspect the summaries to get a feel for what that means." + "Let's inspect the summaries to see how the level of detail changes with the `detail` parameter set to 0, 0.1, 0.2, 0.4, 0.8, and 1 respectively." ] }, { "cell_type": "code", - "execution_count": 14, - "metadata": {}, + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:22:57.785881Z", + "start_time": "2024-04-10T05:22:57.783455Z" + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The United States of America is a diverse country located in North America, with a population exceeding 334 million. It is a federation of 50 states, a federal capital district, and various territories. The country has a rich history, from the migration of Paleo-Indians over 12,000 years ago to the American Revolution and the Civil War. The U.S. emerged as a superpower after World War II and played a significant role in the Cold War era.\n", + "The United States of America is a diverse country located in North America, with a population exceeding 334 million. It is a federation of 50 states, a federal capital district, and various territories. The country has a rich history, from the migration of Paleo-Indians over 12,000 years ago to the British colonization and the American Revolution. The U.S. has gone through significant events like the Civil War, World War II, and the Cold War, emerging as a superpower after the collapse of the Soviet Union.\n", "\n", - "The U.S. government is a presidential constitutional republic with three separate branches: legislative, executive, and judicial. The country has a strong emphasis on liberty, equality under the law, individualism, and limited government. Economically, the U.S. has the largest nominal GDP in the world and is a leader in economic competitiveness, innovation, and human rights. The U.S. is also a founding member of various international organizations.\n", + "The U.S. government is a presidential constitutional republic with three separate branches: legislative, executive, and judicial. The country has a strong emphasis on liberty, equality under the law, individualism, and limited government. Economically, the U.S. has the largest nominal GDP in the world and is a leader in economic competitiveness, innovation, and human rights. The U.S. is also a founding member of various international organizations like the UN, World Bank, and NATO.\n", "\n", - "The U.S. has a rich cultural landscape, with influences from various ethnic groups and traditions. American literature, music, cinema, theater, and visual arts have made significant contributions to global culture. The country is known for its diverse cuisine, with dishes influenced by various immigrant groups. The U.S. also has a strong tradition in education, with a focus on higher learning and research.\n", + "The U.S. has a rich cultural landscape, with influences from various ethnic groups and traditions. American literature, music, cinema, and theater have made significant contributions to global culture. The country is known for its diverse cuisine, with dishes influenced by various immigrant groups. The U.S. also has a strong presence in the fashion industry, with New York City being a global fashion capital.\n", "\n", - "Overall, the United States is a country with a rich history, diverse culture, and significant global influence in various fields such as politics, economics, and the arts.\n" + "Overall, the United States is a country with a rich history, diverse population, strong economy, and significant cultural influence on the world stage.\n" ] } ], @@ -460,28 +543,33 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": {}, + "execution_count": 55, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:22:57.788969Z", + "start_time": "2024-04-10T05:22:57.786691Z" + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The United States of America is a country located in North America, consisting of 50 states, a federal capital district, and various territories. It has a rich history, from the arrival of Paleo-Indians over 12,000 years ago to British colonization, the American Revolution, and the Civil War. The U.S. is a presidential constitutional republic with a strong emphasis on liberty, equality, and limited government. It is a global economic powerhouse, with the largest nominal GDP since 1890 and significant influence in international organizations. The country's history includes European colonization, conflicts with Native Americans, the Revolutionary War, and westward expansion. The U.S. Constitution, drafted in 1787, established a federal government with three branches and a system of checks and balances. The U.S. has played a significant role in world events, including World War II and the Cold War, emerging as a superpower after the collapse of the Soviet Union.\n", + "The United States of America is a country located in North America, consisting of 50 states, a federal capital district, and various territories. It has a rich history, from the arrival of Paleo-Indians over 12,000 years ago to British colonization and the American Revolution. The U.S. expanded across North America, faced sectional divisions over slavery, and emerged as a global superpower after World War II. The country has a presidential constitutional republic with three branches of government and a strong emphasis on liberty, equality, and limited government. Economically, the U.S. is a major player with the largest nominal GDP in the world and significant influence in various international organizations. The country's name, history, and expansion are detailed, including key events like the Declaration of Independence, the Revolutionary War, and the Louisiana Purchase.\n", "\n", - "The text discusses key events in American history from the Missouri Compromise to the rise of the United States as a superpower, the Cold War era, and contemporary history. It covers topics such as the Civil War, Reconstruction, post-Civil War era, immigration, industrialization, World Wars, Cold War, civil rights movement, and modern events like the September 11 attacks and the Great Recession. The text highlights significant developments in American society, politics, and economy over the years.\n", + "The text discusses key events in American history, including the Missouri Compromise, Indian removal policies, the Civil War, Reconstruction era, post-Civil War developments, rise as a superpower, Cold War era, and contemporary history. It highlights significant events such as the Trail of Tears, California Gold Rush, Reconstruction Amendments, immigration waves, World Wars, Cold War tensions, civil rights movement, economic developments, technological advancements, and major conflicts like the Gulf War and War on Terror. The text also mentions social changes, economic challenges like the Great Depression and Great Recession, and political developments leading to increased polarization in the 2010s.\n", "\n", - "The text discusses the geography, climate, biodiversity, conservation efforts, government and politics, political parties, subdivisions, and foreign relations of the United States. It highlights the country's physical features, climate diversity, environmental issues, governmental structure, political parties, state subdivisions, and diplomatic relations. The text also mentions the Capitol attack in January 2021 and the country's environmental commitments and challenges.\n", + "The text discusses the geography, climate, biodiversity, conservation efforts, government, politics, political parties, subdivisions, and foreign relations of the United States. It highlights the country's physical features, climate diversity, environmental issues, governmental structure, political parties, state subdivisions, and diplomatic relations. The text also mentions the historical context of the country's political system, including the development of political parties and the structure of the federal government.\n", "\n", - "The text discusses the United States' international relations, military capabilities, law enforcement, crime rates, economy, and scientific advancements. It highlights the country's membership in various international organizations, strong alliances with countries like the UK, Canada, and Japan, and its military spending and capabilities. The text also covers law enforcement agencies, incarceration rates, economic status as the world's largest economy, technological advancements, and scientific achievements, including the country's leadership in artificial intelligence and space exploration. Additionally, it addresses income inequality, poverty rates, and social welfare policies in the United States.\n", + "The text discusses the United States' international relations, military capabilities, law enforcement, crime rates, economy, and science and technology advancements. It highlights the country's membership in various international organizations, its military strength, economic dominance, income inequality, and technological innovations. The United States has strong diplomatic ties with several countries, a significant military presence globally, a large economy with high GDP, and is a leader in technological advancements and scientific research.\n", "\n", - "The text provides information about various aspects of the United States, including its scientific and innovation rankings, energy consumption, transportation infrastructure, demographics, language diversity, immigration, religion, urbanization, and healthcare. The United States ranks high in scientific publications and patents, but also consumes a significant amount of fossil fuels and emits greenhouse gases. The country has a diverse population with various racial and ethnic groups, and English is the most commonly spoken language. Immigration plays a significant role in the U.S., with a large immigrant population. The country is religiously diverse, with a majority believing in a higher power. Urban areas are home to most Americans, with rapid population growth in many metropolitan areas. The U.S. has a complex healthcare system, with notable medical facilities like the Texas Medical Center in Houston.\n", + "The text discusses various aspects of the United States, including its scientific and innovation rankings, energy consumption, transportation infrastructure, demographics, language diversity, immigration, religion, urbanization, and healthcare. It highlights the country's achievements in scientific research, energy usage, transportation systems, population demographics, language diversity, immigration statistics, religious affiliations, urbanization trends, and healthcare facilities.\n", "\n", - "The text discusses various aspects of life in the United States, including changes in life expectancy, healthcare, education, culture, literature, and mass media. It mentions that life expectancy in the U.S. has fluctuated due to factors like the COVID-19 pandemic, opioid overdoses, and suicides. The U.S. healthcare system is criticized for its high spending and poor outcomes compared to other countries. The education system is decentralized, with high spending per student. The U.S. has a diverse culture and society, with strong protections for free speech and progressive attitudes towards human sexuality. American literature has a rich history, influenced by various movements and authors. The mass media landscape includes major broadcasters, cable television, radio, and newspapers with global reach.\n", + "The text discusses various aspects of life in the United States, including changes in life expectancy, the healthcare system, education, culture, society, literature, and mass media. It highlights the impact of the COVID-19 pandemic on life expectancy, the disparities in healthcare outcomes, the structure of the education system, the cultural diversity and values in American society, the development of American literature, and the media landscape in the country. The text also touches on issues such as healthcare coverage, education spending, student loan debt, and the protection of free speech in the U.S.\n", "\n", - "The text discusses various aspects of American culture, including alternative newspapers in major cities, popular websites, the video game market, theater, visual arts, music, fashion, cinema, and cuisine. It highlights the influence of American culture globally, such as in music, fashion, cinema, and cuisine. The text also mentions significant figures and events in American cultural history, such as the Tony Awards, Broadway theater, the Hudson River School, and the Golden Age of Hollywood. Additionally, it touches on the impact of American cuisine, the film industry, and the arts on both domestic and international audiences.\n", + "The text discusses various aspects of American culture, including alternative newspapers in major cities, popular websites, the video game market, theater, visual arts, music, fashion, cinema, and cuisine. It highlights the influence of American culture globally, such as in music, fashion, cinema, and cuisine. The text also mentions significant figures and events in American cultural history, such as the Tony Awards, Broadway theater, the Hudson River School in visual arts, and the Golden Age of Hollywood in cinema. Additionally, it touches on the development of American cuisine, including traditional dishes and the impact of immigrant groups on American food culture.\n", "\n", - "The American fast-food industry, known for pioneering the drive-through format in the 1940s, is considered a symbol of U.S. marketing dominance. Major companies like McDonald's, Burger King, Pizza Hut, KFC, and Domino's Pizza have a global presence with numerous outlets worldwide.\n" + "The American fast-food industry, known for pioneering the drive-through format in the 1940s, is considered a symbol of U.S. marketing dominance. Major American companies like McDonald's, Burger King, Pizza Hut, Kentucky Fried Chicken, and Domino's Pizza have a significant global presence with numerous outlets worldwide.\n" ] } ], @@ -498,14 +586,19 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": {}, + "execution_count": 56, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:33:18.789246Z", + "start_time": "2024-04-10T05:22:57.789764Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 5/5 [00:17<00:00, 3.54s/it]" + "100%|██████████| 5/5 [10:19<00:00, 123.94s/it]" ] }, { @@ -514,36 +607,39 @@ "text": [ "- The USA is a federation of 50 states, a federal capital district, and 326 Indian reservations.\n", "- It has sovereignty over five major unincorporated island territories and various uninhabited islands.\n", - "- The population of the USA exceeds 334 million.\n", - "- The USA has the world's third-largest land area and largest maritime exclusive economic zone.\n", - "- The USA has had the largest nominal GDP in the world since 1890 and accounted for over 25% of the global economy in 2023.\n", + "- The country has a population exceeding 334 million.\n", + "- The USA has the world's third-largest land area and the largest maritime exclusive economic zone.\n", + "- The USA has had the largest nominal GDP in the world since 1890.\n", + "- In 2023, the USA accounted for over 25% of the global economy based on nominal GDP and 15% based on PPP.\n", "- The USA has the highest median income per capita of any non-microstate.\n", "- The USA ranks high in economic competitiveness, productivity, innovation, human rights, and higher education.\n", "- The USA is a founding member of various international organizations such as the World Bank, IMF, NATO, and the UN Security Council.\n", "\n", - "- In the early 1960s, President Lyndon Johnson's Great Society plan led to groundbreaking laws and policies to counteract institutional racism.\n", - "- By 1985, the majority of women aged 16 and older in the US were employed.\n", - "- In the 1990s, the US saw the longest economic expansion in its history, with advances in technology such as the World Wide Web and gene therapy.\n", - "- The US spent $877 billion on its military in 2022, the largest amount globally, accounting for 39% of global military spending and 3.5% of the country's GDP.\n", - "- The US has the third-largest combined armed forces in the world, behind China and India.\n", - "- As of January 2023, the US had the sixth highest per-capita incarceration rate globally, with almost 2 million people incarcerated.\n", - "- The US had a nominal GDP of $27 trillion in 2023, constituting over 25% of the global economy.\n", + "- The Great Society plan of President Lyndon Johnson's administration in the early 1960s resulted in groundbreaking laws and policies to counteract institutional racism.\n", + "- By 1985, the majority of women aged 16 and older in the U.S. were employed.\n", + "- In the 1990s, the U.S. saw the longest economic expansion in its history, with advances in technology such as the World Wide Web and the first gene therapy trial.\n", + "- The U.S. spent $877 billion on its military in 2022, the largest amount globally, making up 39% of global military spending and 3.5% of the country's GDP.\n", + "- The U.S. has the third-largest combined armed forces in the world, with about 800 bases and facilities abroad and deployments in 25 foreign countries.\n", + "- As of January 2023, the U.S. had the sixth highest per-capita incarceration rate globally, with almost 2 million people incarcerated.\n", + "- The U.S. had a nominal GDP of $27 trillion in 2023, the largest in the world, constituting over 25% of the global economy.\n", "\n", - "- Real compounded annual GDP growth in the US was 3.3%, compared to 2.3% for the rest of the Group of Seven.\n", - "- The US ranks first in the world by disposable income per capita and nominal GDP, second by GDP (PPP) after China, and ninth by GDP (PPP) per capita.\n", - "- The US has 136 of the world's 500 largest companies headquartered in the country.\n", - "- The US dollar is the most used currency in international transactions and is the world's foremost reserve currency.\n", - "- The US ranked second in the Global Competitiveness Report in 2019.\n", - "- The US is the second-largest manufacturing country after China as of 2021.\n", - "- The US has the highest average household and employee income among OECD member states.\n", - "- The US has 735 billionaires and nearly 22 million millionaires as of 2023.\n", - "- In 2022, there were about 582,500 sheltered and unsheltered homeless persons in the US.\n", - "- The US receives approximately 81% of its energy from fossil fuels.\n", - "- The US has the highest vehicle ownership per capita in the world, with 910 vehicles per 1000 people.\n", - "- The US has 333 incorporated municipalities with populations over 100,000.\n", + "- Real compounded annual GDP growth in the U.S. was 3.3%, compared to 2.3% for the rest of the Group of Seven.\n", + "- The U.S. ranks first in the world by disposable income per capita and nominal GDP, second by GDP (PPP) after China, and ninth by GDP (PPP) per capita.\n", + "- The U.S. has 136 of the world's 500 largest companies headquartered there.\n", + "- The U.S. dollar is the most used currency in international transactions and is the world's foremost reserve currency.\n", + "- The U.S. ranked second in the Global Competitiveness Report in 2019, after Singapore.\n", + "- The U.S. is the second-largest manufacturing country after China as of 2021.\n", + "- Americans have the highest average household and employee income among OECD member states.\n", + "- The U.S. has 735 billionaires and nearly 22 million millionaires as of 2023.\n", + "- In 2022, there were about 582,500 sheltered and unsheltered homeless persons in the U.S.\n", + "- The U.S. receives approximately 81% of its energy from fossil fuels.\n", + "- The U.S. has the highest vehicle ownership per capita in the world, with 910 vehicles per 1000 people.\n", + "- The U.S. has the third-highest number of patent applications and ranked 3rd in the Global Innovation Index in 2023.\n", + "- The U.S. has the third-highest number of published scientific papers in 2022.\n", + "- The U.S. has a diverse population with 37 ancestry groups having more than one million members.\n", + "- The U.S. has the largest Christian population in the world.\n", "- The average American life expectancy at birth was 77.5 years in 2022.\n", - "- Approximately one-third of the US adult population is obese, and another third is overweight.\n", - "- The US spends more on education per student than any other country in the world, averaging $12,794 per year per public elementary and secondary school student in 2016-2017.\n", + "- The U.S. spends more on education per student than any other country in the world.\n", "\n", "- The United States has the most Nobel Prize winners in history, with 411 awards won.\n", "- American higher education is dominated by state university systems, with private universities enrolling about 20% of students.\n", @@ -551,11 +647,12 @@ "- Student loan debt in the U.S. has increased by 102% in the last decade, exceeding 1.7 trillion dollars as of 2022.\n", "- Americans donated 1.44% of total GDP to charity, the highest rate in the world.\n", "- The U.S. has the world's largest music market with a total retail value of $15.9 billion in 2022.\n", - "- The U.S. restaurant industry was projected at $899 billion in sales for 2020, employing over 15 million people.\n", - "- The United States is home to over 220 Michelin Star rated restaurants, with 70 in New York City alone.\n", - "- California produces 84% of all US wine, making the U.S. the fourth-largest wine producing country in the world.\n", + "- The United States restaurant industry was projected at $899 billion in sales for 2020, employing over 15 million people.\n", + "- The U.S. is home to over 220 Michelin Star rated restaurants, with 70 in New York City alone.\n", + "- California alone has 444 publishers, developers, and hardware companies in the video game market.\n", + "- The U.S. fast-food industry pioneered the drive-through format in the 1940s.\n", "\n", - "- American companies with global presence include McDonald's, Burger King, Pizza Hut, Kentucky Fried Chicken, and Domino's Pizza\n", + "- American companies mentioned: McDonald's, Burger King, Pizza Hut, Kentucky Fried Chicken, Domino's Pizza\n", "- These companies have numerous outlets around the world\n" ] }, @@ -568,7 +665,8 @@ } ], "source": [ - "summary_with_additional_instructions = summarize(united_states_wikipedia_text, detail=0.1, additional_instructions=\"Write in point form and focus on numerical data.\")\n", + "summary_with_additional_instructions = summarize(united_states_wikipedia_text, detail=0.1,\n", + " additional_instructions=\"Write in point form and focus on numerical data.\")\n", "print(summary_with_additional_instructions)" ] }, @@ -583,26 +681,26 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 57, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 5/5 [00:12<00:00, 2.40s/it]" + "100%|██████████| 5/5 [00:09<00:00, 1.99s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "The United States of America is a country located in North America with 50 states, a federal capital district, and various territories. It has a rich history, from early indigenous migrations to European colonization, the American Revolution, Civil War, and emergence as a global superpower. The U.S. government is a presidential constitutional republic with a strong emphasis on liberty, equality, and limited government. Economically, the U.S. is a powerhouse with a significant global influence. The country has been involved in major historical events such as World War II, the Cold War, and the civil rights movement.\n", + "The text provides an overview of the United States, including its geography, history, government structure, economic status, and global influence. It covers the country's origins, colonization, independence, expansion, Civil War, post-war era, rise as a superpower, and involvement in the Cold War. The U.S. is described as a presidential constitutional republic with a strong emphasis on individual rights, liberty, and limited government. The text also highlights the country's economic prowess, cultural influence, and membership in various international organizations.\n", "\n", - "In the 1960s, the U.S. saw significant social changes with President Lyndon Johnson's Great Society plan addressing institutional racism, the counterculture movement influencing attitudes towards drug use and sexuality, and opposition to the Vietnam War. The 1980s and 1990s marked the end of the Cold War, solidifying the U.S. as a superpower. The 1990s saw economic growth, technological advancements, and the Gulf War. The 21st century brought challenges like the September 11 attacks, the Great Recession, and increased political polarization. The U.S. has diverse geography and climate, rich biodiversity, and faces environmental issues. The government is a federal republic with a strong system of checks and balances, and a two-party political system. The U.S. has a significant global presence in foreign relations, a powerful military, and law enforcement agencies. Economically, it is a leading global player with a diverse economy and the world's largest GDP.\n", + "The text discusses the United States from the early 1960s to the present day, highlighting significant events such as President Lyndon Johnson's Great Society plan, the counterculture movement, societal changes, the end of the Cold War, the economic expansion of the 1990s, the September 11 attacks, the Great Recession, and political polarization. It also covers the country's geography, climate, biodiversity, conservation efforts, government structure, political parties, foreign relations, military strength, law enforcement, crime rates, and the economy, including its status as the world's largest economy.\n", "\n", - "The text discusses the economic strength of the United States, highlighting its high GDP, disposable income per capita, and global economic influence. It mentions the dominance of the U.S. dollar in international transactions and its leading position in various economic sectors such as technology, finance, and manufacturing. The text also touches on income inequality, poverty rates, and social issues like homelessness and food insecurity in the country. Additionally, it covers the U.S.'s role in scientific innovation, energy consumption, transportation infrastructure, demographics, immigration, religion, urbanization, healthcare, and education.\n", + "The text discusses the economic status of the United States, highlighting its GDP growth, ranking in various economic indicators, dominance in global trade, and technological advancements. It also covers income distribution, poverty rates, and social issues like homelessness and food insecurity. The text further delves into the country's energy consumption, transportation infrastructure, demographics, immigration trends, religious diversity, urbanization, healthcare system, life expectancy, and education system.\n", "\n", - "The text discusses various aspects of American culture and society, including education, literature, mass media, theater, visual arts, music, fashion, cinema, and cuisine. It highlights the country's achievements in education, with a global reputation for tertiary education and numerous top-ranking universities. The text also covers American values, ethnic diversity, free speech protections, and progressive attitudes towards human sexuality and LGBT rights. Additionally, it mentions the country's contributions to literature, mass media, theater, visual arts, music, and cuisine, showcasing its significant influence and global presence in these areas.\n", + "The text discusses various aspects of American culture and society, including education, literature, mass media, theater, visual arts, music, fashion, cinema, and cuisine. It highlights the country's achievements in education, with a focus on higher education and federal financial aid for students. The text also delves into American cultural values, ethnic diversity, and the country's strong protections of free speech. Additionally, it covers the development of American literature, mass media landscape, theater scene, visual arts movements, music genres, fashion industry, cinema history, and culinary traditions. The influence of American culture globally, as well as the economic impact of industries like music and restaurants, is also discussed.\n", "\n", "American fast-food chains like McDonald's, Burger King, Pizza Hut, Kentucky Fried Chicken, and Domino's Pizza have a widespread global presence with numerous outlets worldwide.\n" ] @@ -616,20 +714,16 @@ } ], "source": [ - "recursive_summary = summarize(united_states_wikipedia_text, detail=0.1, summarize_recursively=True, additional_instructions=\"Don't overuse repetitive phrases to introduce each section\")\n", + "recursive_summary = summarize(united_states_wikipedia_text, detail=0.1, summarize_recursively=True,\n", + " additional_instructions=\"Don't overuse repetitive phrases to introduce each section\")\n", "print(recursive_summary)" ], "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 17, - "outputs": [], - "source": [], - "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-04-10T05:33:30.123036Z", + "start_time": "2024-04-10T05:33:18.791253Z" + } } } ], From a92a1d2fab58081732cfcfd0abbbbec830928a00 Mon Sep 17 00:00:00 2001 From: Seth Weidman Date: Wed, 10 Apr 2024 09:27:54 -0700 Subject: [PATCH 33/44] Clean up streaming code (#1133) Co-authored-by: Seth Weidman --- examples/How_to_stream_completions.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/How_to_stream_completions.ipynb b/examples/How_to_stream_completions.ipynb index a780992..57f311a 100644 --- a/examples/How_to_stream_completions.ipynb +++ b/examples/How_to_stream_completions.ipynb @@ -553,7 +553,7 @@ "print(f\"Full response received {chunk_time:.2f} seconds after request\")\n", "# clean None in collected_messages\n", "collected_messages = [m for m in collected_messages if m is not None]\n", - "full_reply_content = ''.join([m for m in collected_messages])\n", + "full_reply_content = ''.join(collected_messages)\n", "print(f\"Full conversation received: {full_reply_content}\")\n" ] }, From 555bbc0d34cb6f1f0702e7e36b4bcc0d6d4697d8 Mon Sep 17 00:00:00 2001 From: Andreas Deininger Date: Fri, 12 Apr 2024 00:27:02 +0200 Subject: [PATCH 34/44] Fix broken link (#1141) --- articles/what_is_new_with_dalle_3.mdx | 2 +- examples/vector_databases/README.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/articles/what_is_new_with_dalle_3.mdx b/articles/what_is_new_with_dalle_3.mdx index 98d6c3d..6328e70 100644 --- a/articles/what_is_new_with_dalle_3.mdx +++ b/articles/what_is_new_with_dalle_3.mdx @@ -96,7 +96,7 @@ Have you ever struggled to find the perfect icon for your website or app? It wou ![icon_set](/images/dalle_3/icon_set.jpg) -In this case, I used Potrace to convert the images to SVGs, which you can download [here](http://potrace.sourceforge.net/). This is what I used to convert the images: +In this case, I used Potrace to convert the images to SVGs, which you can download [here](https://potrace.sourceforge.net/). This is what I used to convert the images: ```bash potrace -s cat.jpg -o cat.svg diff --git a/examples/vector_databases/README.md b/examples/vector_databases/README.md index 322ae84..03e802d 100644 --- a/examples/vector_databases/README.md +++ b/examples/vector_databases/README.md @@ -24,7 +24,7 @@ Each provider has their own named directory, with a standard notebook to introdu - [Redis](https://github.com/RedisVentures/simple-vecsim-intro) - [SingleStoreDB](https://www.singlestore.com/blog/how-to-get-started-with-singlestore/) - [Supabase](https://supabase.com/docs/guides/ai) -- [Tembo](https://tembo.io/docs/tembo-stacks/vector-db) +- [Tembo](https://tembo.io/docs/product/stacks/ai/vectordb) - [Typesense](https://typesense.org/docs/guide/) - [Vespa AI](https://vespa.ai/) - [Weaviate](https://weaviate.io/developers/weaviate/quickstart) From fe930be578071d95230b336d66277b7a3300674e Mon Sep 17 00:00:00 2001 From: joe-at-openai <117690718+joe-at-openai@users.noreply.github.com> Date: Wed, 17 Apr 2024 17:20:43 -0700 Subject: [PATCH 35/44] A few improvements to the long summaries notebook (#1148) --- examples/Summarizing_long_documents.ipynb | 861 ++++++++++++++++++ ...Summarizing_with_controllable_detail.ipynb | 751 --------------- .../artificial_intelligence_wikipedia.txt | 253 +++++ examples/data/united_states_wikipedia.txt | 377 -------- 4 files changed, 1114 insertions(+), 1128 deletions(-) create mode 100644 examples/Summarizing_long_documents.ipynb delete mode 100644 examples/Summarizing_with_controllable_detail.ipynb create mode 100644 examples/data/artificial_intelligence_wikipedia.txt delete mode 100644 examples/data/united_states_wikipedia.txt diff --git a/examples/Summarizing_long_documents.ipynb b/examples/Summarizing_long_documents.ipynb new file mode 100644 index 0000000..1ea45a9 --- /dev/null +++ b/examples/Summarizing_long_documents.ipynb @@ -0,0 +1,861 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Summarizing Long Documents" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The objective of this notebook is to demonstrate how to summarize large documents with a controllable level of detail.\n", + " \n", + "If you give a GPT model the task of summarizing a long document (e.g. 10k or more tokens), you'll tend to get back a relatively short summary that isn't proportional to the length of the document. For instance, a summary of a 20k token document will not be twice as long as a summary of a 10k token document. One way we can fix this is to split our document up into pieces, and produce a summary piecewise. After many queries to a GPT model, the full summary can be reconstructed. By controlling the number of text chunks and their sizes, we can ultimately control the level of detail in the output." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.305706Z", + "start_time": "2024-04-10T05:19:35.303535Z" + }, + "pycharm": { + "is_executing": true + } + }, + "outputs": [], + "source": [ + "import os\n", + "from typing import List, Tuple, Optional\n", + "from openai import OpenAI\n", + "import tiktoken\n", + "from tqdm import tqdm" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.325026Z", + "start_time": "2024-04-10T05:19:35.322414Z" + } + }, + "outputs": [], + "source": [ + "# open dataset containing part of the text of the Wikipedia page for the United States\n", + "with open(\"data/artificial_intelligence_wikipedia.txt\", \"r\") as file:\n", + " artificial_intelligence_wikipedia_text = file.read()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.364483Z", + "start_time": "2024-04-10T05:19:35.348213Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "14630" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# load encoding and check the length of dataset\n", + "encoding = tiktoken.encoding_for_model('gpt-4-turbo')\n", + "len(encoding.encode(artificial_intelligence_wikipedia_text))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We'll define a simple utility to wrap calls to the OpenAI API." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.375619Z", + "start_time": "2024-04-10T05:19:35.365818Z" + } + }, + "outputs": [], + "source": [ + "client = OpenAI(api_key=os.getenv(\"OPENAI_API_KEY\"))\n", + "\n", + "def get_chat_completion(messages, model='gpt-4-turbo'):\n", + " response = client.chat.completions.create(\n", + " model=model,\n", + " messages=messages,\n", + " temperature=0,\n", + " )\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next we'll define some utilities to chunk a large document into smaller pieces." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.382790Z", + "start_time": "2024-04-10T05:19:35.376721Z" + } + }, + "outputs": [], + "source": [ + "def tokenize(text: str) -> List[str]:\n", + " encoding = tiktoken.encoding_for_model('gpt-4-turbo')\n", + " return encoding.encode(text)\n", + "\n", + "\n", + "# This function chunks a text into smaller pieces based on a maximum token count and a delimiter.\n", + "def chunk_on_delimiter(input_string: str,\n", + " max_tokens: int, delimiter: str) -> List[str]:\n", + " chunks = input_string.split(delimiter)\n", + " combined_chunks, _, dropped_chunk_count = combine_chunks_with_no_minimum(\n", + " chunks, max_tokens, chunk_delimiter=delimiter, add_ellipsis_for_overflow=True\n", + " )\n", + " if dropped_chunk_count > 0:\n", + " print(f\"warning: {dropped_chunk_count} chunks were dropped due to overflow\")\n", + " combined_chunks = [f\"{chunk}{delimiter}\" for chunk in combined_chunks]\n", + " return combined_chunks\n", + "\n", + "\n", + "# This function combines text chunks into larger blocks without exceeding a specified token count. It returns the combined text blocks, their original indices, and the count of chunks dropped due to overflow.\n", + "def combine_chunks_with_no_minimum(\n", + " chunks: List[str],\n", + " max_tokens: int,\n", + " chunk_delimiter=\"\\n\\n\",\n", + " header: Optional[str] = None,\n", + " add_ellipsis_for_overflow=False,\n", + ") -> Tuple[List[str], List[int]]:\n", + " dropped_chunk_count = 0\n", + " output = [] # list to hold the final combined chunks\n", + " output_indices = [] # list to hold the indices of the final combined chunks\n", + " candidate = (\n", + " [] if header is None else [header]\n", + " ) # list to hold the current combined chunk candidate\n", + " candidate_indices = []\n", + " for chunk_i, chunk in enumerate(chunks):\n", + " chunk_with_header = [chunk] if header is None else [header, chunk]\n", + " if len(tokenize(chunk_delimiter.join(chunk_with_header))) > max_tokens:\n", + " print(f\"warning: chunk overflow\")\n", + " if (\n", + " add_ellipsis_for_overflow\n", + " and len(tokenize(chunk_delimiter.join(candidate + [\"...\"]))) <= max_tokens\n", + " ):\n", + " candidate.append(\"...\")\n", + " dropped_chunk_count += 1\n", + " continue # this case would break downstream assumptions\n", + " # estimate token count with the current chunk added\n", + " extended_candidate_token_count = len(tokenize(chunk_delimiter.join(candidate + [chunk])))\n", + " # If the token count exceeds max_tokens, add the current candidate to output and start a new candidate\n", + " if extended_candidate_token_count > max_tokens:\n", + " output.append(chunk_delimiter.join(candidate))\n", + " output_indices.append(candidate_indices)\n", + " candidate = chunk_with_header # re-initialize candidate\n", + " candidate_indices = [chunk_i]\n", + " # otherwise keep extending the candidate\n", + " else:\n", + " candidate.append(chunk)\n", + " candidate_indices.append(chunk_i)\n", + " # add the remaining candidate to output if it's not empty\n", + " if (header is not None and len(candidate) > 1) or (header is None and len(candidate) > 0):\n", + " output.append(chunk_delimiter.join(candidate))\n", + " output_indices.append(candidate_indices)\n", + " return output, output_indices, dropped_chunk_count" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we can define a utility to summarize text with a controllable level of detail (note the `detail` parameter).\n", + "\n", + "The function first determines the number of chunks by interpolating between a minimum and a maximum chunk count based on a controllable `detail` parameter. It then splits the text into chunks and summarizes each chunk." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:35.390876Z", + "start_time": "2024-04-10T05:19:35.385076Z" + } + }, + "outputs": [], + "source": [ + "def summarize(text: str,\n", + " detail: float = 0,\n", + " model: str = 'gpt-4-turbo',\n", + " additional_instructions: Optional[str] = None,\n", + " minimum_chunk_size: Optional[int] = 500,\n", + " chunk_delimiter: str = \".\",\n", + " summarize_recursively=False,\n", + " verbose=False):\n", + " \"\"\"\n", + " Summarizes a given text by splitting it into chunks, each of which is summarized individually. \n", + " The level of detail in the summary can be adjusted, and the process can optionally be made recursive.\n", + "\n", + " Parameters:\n", + " - text (str): The text to be summarized.\n", + " - detail (float, optional): A value between 0 and 1 indicating the desired level of detail in the summary.\n", + " 0 leads to a higher level summary, and 1 results in a more detailed summary. Defaults to 0.\n", + " - model (str, optional): The model to use for generating summaries. Defaults to 'gpt-3.5-turbo'.\n", + " - additional_instructions (Optional[str], optional): Additional instructions to provide to the model for customizing summaries.\n", + " - minimum_chunk_size (Optional[int], optional): The minimum size for text chunks. Defaults to 500.\n", + " - chunk_delimiter (str, optional): The delimiter used to split the text into chunks. Defaults to \".\".\n", + " - summarize_recursively (bool, optional): If True, summaries are generated recursively, using previous summaries for context.\n", + " - verbose (bool, optional): If True, prints detailed information about the chunking process.\n", + "\n", + " Returns:\n", + " - str: The final compiled summary of the text.\n", + "\n", + " The function first determines the number of chunks by interpolating between a minimum and a maximum chunk count based on the `detail` parameter. \n", + " It then splits the text into chunks and summarizes each chunk. If `summarize_recursively` is True, each summary is based on the previous summaries, \n", + " adding more context to the summarization process. The function returns a compiled summary of all chunks.\n", + " \"\"\"\n", + "\n", + " # check detail is set correctly\n", + " assert 0 <= detail <= 1\n", + "\n", + " # interpolate the number of chunks based to get specified level of detail\n", + " max_chunks = len(chunk_on_delimiter(text, minimum_chunk_size, chunk_delimiter))\n", + " min_chunks = 1\n", + " num_chunks = int(min_chunks + detail * (max_chunks - min_chunks))\n", + "\n", + " # adjust chunk_size based on interpolated number of chunks\n", + " document_length = len(tokenize(text))\n", + " chunk_size = max(minimum_chunk_size, document_length // num_chunks)\n", + " text_chunks = chunk_on_delimiter(text, chunk_size, chunk_delimiter)\n", + " if verbose:\n", + " print(f\"Splitting the text into {len(text_chunks)} chunks to be summarized.\")\n", + " print(f\"Chunk lengths are {[len(tokenize(x)) for x in text_chunks]}\")\n", + "\n", + " # set system message\n", + " system_message_content = \"Rewrite this text in summarized form.\"\n", + " if additional_instructions is not None:\n", + " system_message_content += f\"\\n\\n{additional_instructions}\"\n", + "\n", + " accumulated_summaries = []\n", + " for chunk in tqdm(text_chunks):\n", + " if summarize_recursively and accumulated_summaries:\n", + " # Creating a structured prompt for recursive summarization\n", + " accumulated_summaries_string = '\\n\\n'.join(accumulated_summaries)\n", + " user_message_content = f\"Previous summaries:\\n\\n{accumulated_summaries_string}\\n\\nText to summarize next:\\n\\n{chunk}\"\n", + " else:\n", + " # Directly passing the chunk for summarization without recursive context\n", + " user_message_content = chunk\n", + "\n", + " # Constructing messages based on whether recursive summarization is applied\n", + " messages = [\n", + " {\"role\": \"system\", \"content\": system_message_content},\n", + " {\"role\": \"user\", \"content\": user_message_content}\n", + " ]\n", + "\n", + " # Assuming this function gets the completion and works as expected\n", + " response = get_chat_completion(messages, model=model)\n", + " accumulated_summaries.append(response)\n", + "\n", + " # Compile final summary from partial summaries\n", + " final_summary = '\\n\\n'.join(accumulated_summaries)\n", + "\n", + " return final_summary" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we can use this utility to produce summaries with varying levels of detail. By increasing `detail` from 0 to 1 we get progressively longer summaries of the underlying document. A higher value for the `detail` parameter results in a more detailed summary because the utility first splits the document into a greater number of chunks. Each chunk is then summarized, and the final summary is a concatenation of all the chunk summaries." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:47.541096Z", + "start_time": "2024-04-10T05:19:35.391911Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Splitting the text into 1 chunks to be summarized.\n", + "Chunk lengths are [14631]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1/1 [00:09<00:00, 9.68s/it]\n" + ] + } + ], + "source": [ + "summary_with_detail_0 = summarize(artificial_intelligence_wikipedia_text, detail=0, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:19:58.724212Z", + "start_time": "2024-04-10T05:19:47.542129Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Splitting the text into 9 chunks to be summarized.\n", + "Chunk lengths are [1817, 1807, 1823, 1810, 1806, 1827, 1814, 1829, 103]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 9/9 [01:33<00:00, 10.39s/it]\n" + ] + } + ], + "source": [ + "summary_with_detail_pt25 = summarize(artificial_intelligence_wikipedia_text, detail=0.25, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:20:16.216023Z", + "start_time": "2024-04-10T05:19:58.725014Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Splitting the text into 17 chunks to be summarized.\n", + "Chunk lengths are [897, 890, 914, 876, 893, 906, 893, 902, 909, 907, 905, 889, 902, 890, 901, 880, 287]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 17/17 [02:26<00:00, 8.64s/it]\n" + ] + } + ], + "source": [ + "summary_with_detail_pt5 = summarize(artificial_intelligence_wikipedia_text, detail=0.5, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:22:57.760218Z", + "start_time": "2024-04-10T05:21:44.921275Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Splitting the text into 31 chunks to be summarized.\n", + "Chunk lengths are [492, 427, 485, 490, 496, 478, 473, 497, 496, 501, 499, 497, 493, 470, 472, 494, 489, 492, 481, 485, 471, 500, 486, 498, 478, 469, 498, 468, 493, 478, 103]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 31/31 [04:08<00:00, 8.02s/it]\n" + ] + } + ], + "source": [ + "summary_with_detail_1 = summarize(artificial_intelligence_wikipedia_text, detail=1, verbose=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The original document is nearly 15k tokens long. Notice how large the gap is between the length of `summary_with_detail_0` and `summary_with_detail_1`. It's nearly 25 times longer!" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:22:57.782389Z", + "start_time": "2024-04-10T05:22:57.763041Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[235, 2529, 4336, 6742]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# lengths of summaries\n", + "[len(tokenize(x)) for x in\n", + " [summary_with_detail_0, summary_with_detail_pt25, summary_with_detail_pt5, summary_with_detail_1]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's inspect the summaries to see how the level of detail changes when the `detail` parameter is increased from 0 to 1." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:22:57.785881Z", + "start_time": "2024-04-10T05:22:57.783455Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Artificial intelligence (AI) is the simulation of human intelligence in machines, designed to perform tasks that typically require human intelligence. This includes applications like advanced search engines, recommendation systems, speech interaction, autonomous vehicles, and more. AI was first significantly researched by Alan Turing and became an academic discipline in 1956. The field has experienced cycles of high expectations followed by disillusionment and reduced funding, known as \"AI winters.\" Interest in AI surged post-2012 with advancements in deep learning and again post-2017 with the development of the transformer architecture, leading to a boom in AI research and applications in the early 2020s.\n", + "\n", + "AI's increasing integration into various sectors is influencing societal and economic shifts towards automation and data-driven decision-making, impacting areas such as employment, healthcare, and privacy. Ethical and safety concerns about AI have prompted discussions on regulatory policies.\n", + "\n", + "AI research involves various sub-fields focused on specific goals like reasoning, learning, and perception, using techniques from mathematics, logic, and other disciplines. Despite its broad applications, AI's complexity and potential risks, such as privacy issues, misinformation, and ethical challenges, remain areas of active investigation and debate.\n" + ] + } + ], + "source": [ + "print(summary_with_detail_0)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:22:57.788969Z", + "start_time": "2024-04-10T05:22:57.786691Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Artificial intelligence (AI) is the simulation of human intelligence in machines, designed to perceive their environment and make decisions to achieve specific goals. This technology is prevalent across various sectors including industry, government, and science, with applications ranging from web search engines and recommendation systems to autonomous vehicles and AI in gaming. Although AI has become a common feature in many tools and applications, it often goes unrecognized as AI when it becomes sufficiently integrated and widespread.\n", + "\n", + "The field of AI, which began as an academic discipline in 1956, has experienced several cycles of high expectations followed by disappointment, known as AI winters. Interest and funding in AI surged post-2012 with advancements in deep learning and again post-2017 with the development of transformer architecture, leading to a significant boom in AI research and applications in the early 2020s, primarily in the United States.\n", + "\n", + "The increasing integration of AI in the 21st century is driving a shift towards automation and data-driven decision-making across various sectors, influencing job markets, healthcare, and education, among others. This raises important questions about the ethical implications, long-term effects, and the need for regulatory policies to ensure the safety and benefits of AI technologies. AI research itself is diverse, focusing on goals like reasoning, learning, and perception, and involves various tools and methodologies to achieve these objectives.\n", + "\n", + "General intelligence, which involves performing any human task at least as well as a human, is a long-term goal in AI research. To achieve this, AI integrates various techniques from search and optimization, formal logic, neural networks, and statistics, to insights from psychology, linguistics, and neuroscience. AI research focuses on specific traits like reasoning and problem-solving, where early algorithms mimicked human step-by-step reasoning. However, these algorithms struggle with large, complex problems due to combinatorial explosion and are less efficient than human intuitive judgments. Knowledge representation is another critical area, using ontologies to structure domain-specific knowledge and relationships, aiding in intelligent querying, scene interpretation, and data mining among other applications.\n", + "\n", + "Knowledge bases must encapsulate a wide range of elements including objects, properties, categories, relations, events, states, time, causes, effects, and meta-knowledge. They also need to handle default reasoning, where certain assumptions are maintained unless contradicted. Challenges in knowledge representation include the vast scope of commonsense knowledge and its often sub-symbolic, non-verbal nature, alongside the difficulty of acquiring this knowledge for AI use.\n", + "\n", + "In the realm of AI, an \"agent\" is defined as an entity that perceives its environment and acts towards achieving goals or fulfilling preferences. In automated planning, the agent pursues a specific goal, while in decision-making, it evaluates actions based on their expected utility to maximize preference satisfaction. Classical planning assumes agents have complete knowledge of action outcomes, but real-world scenarios often involve uncertainty about the situation and outcomes, requiring probabilistic decision-making. Additionally, agents may need to adapt or learn preferences, particularly in complex environments with multiple agents or human interactions.\n", + "\n", + "Information value theory helps assess the value of exploratory actions in situations with uncertain outcomes. A Markov decision process uses a transition model and a reward function to guide decisions, which can be determined through calculations, heuristics, or learning. Game theory analyzes the rational behavior of multiple interacting agents in decision-making scenarios involving others.\n", + "\n", + "Machine learning, integral to AI, involves programs that automatically improve task performance. It includes unsupervised learning, which identifies patterns in data without guidance, and supervised learning, which requires labeled data and includes classification and regression tasks. Reinforcement learning rewards or punishes agents to shape their responses, while transfer learning applies knowledge from one problem to another. Deep learning, a subset of machine learning, uses artificial neural networks inspired by biological processes.\n", + "\n", + "Computational learning theory evaluates learning algorithms based on computational and sample complexity, among other criteria. Natural language processing (NLP) enables programs to interact using human languages, tackling challenges like speech recognition, synthesis, translation, and more. Early NLP efforts, influenced by Chomsky's theories, faced limitations in handling ambiguous language outside of controlled environments.\n", + "\n", + "Margaret Masterman emphasized the importance of meaning over grammar in language understanding, advocating for the use of thesauri instead of dictionaries in computational linguistics. Modern NLP techniques include word embedding, transformers, and by 2023, GPT models capable of achieving human-level scores on various tests. Machine perception involves interpreting sensor data to understand the world, encompassing computer vision and speech recognition among other applications. Social intelligence in AI focuses on recognizing and simulating human emotions, with systems like Kismet and affective computing technologies that enhance human-computer interaction. However, these advancements may lead to overestimations of AI capabilities by users. AI also employs a variety of techniques including search and optimization, with methods like state space search to explore possible solutions to problems.\n", + "\n", + "Planning algorithms use means-ends analysis to navigate through trees of goals and subgoals to achieve a target goal. However, simple exhaustive searches are often inadequate for complex real-world problems due to the vast search space, making searches slow or incomplete. Heuristics are employed to prioritize more promising paths towards a goal. In adversarial contexts like chess or Go, search algorithms explore trees of possible moves to find a winning strategy.\n", + "\n", + "Local search methods, such as gradient descent, optimize numerical parameters to minimize a loss function, often used in training neural networks. Evolutionary computation, another local search technique, iteratively enhances solutions by mutating and recombining candidate solutions, selecting the most fit for survival. Distributed search processes utilize swarm intelligence, with particle swarm optimization and ant colony optimization being notable examples.\n", + "\n", + "In the realm of logic, formal logic serves for reasoning and knowledge representation, with two primary types: propositional logic, dealing with true or false statements, and predicate logic, which involves objects and their relationships. Deductive reasoning in logic involves deriving conclusions from assumed true premises.\n", + "\n", + "Proofs in logic can be organized into proof trees, where each node represents a sentence and is connected to its children by inference rules. Problem-solving involves finding a proof tree that starts with premises or axioms at the leaves and ends with the problem's solution at the root. In Horn clauses, one can reason forwards from premises or backwards from the problem, while in general first-order logic, resolution uses contradiction to solve problems. Despite being undecidable and intractable, backward reasoning with Horn clauses is Turing complete and efficient, similar to other symbolic programming languages like Prolog.\n", + "\n", + "Fuzzy logic allows for handling propositions with partial truth by assigning a truth degree between 0 and 1. Non-monotonic logics cater to default reasoning, and various specialized logics have been developed for complex domains.\n", + "\n", + "In AI, handling uncertain or incomplete information is crucial in fields like reasoning, planning, and perception. Tools from probability theory and economics, such as Bayesian networks, Markov decision processes, and game theory, help in making decisions and planning under uncertainty. Bayesian networks, in particular, are versatile tools used for reasoning, learning, planning, and perception through various algorithms.\n", + "\n", + "Probabilistic algorithms like hidden Markov models and Kalman filters are useful for analyzing data over time, aiding in tasks such as filtering, prediction, and smoothing. In machine learning, expectation-maximization clustering can effectively identify distinct patterns in data, as demonstrated with the Old Faithful eruption data. AI applications often involve classifiers, which categorize data based on learned patterns, and controllers, which make decisions based on classifications. Classifiers, such as decision trees, k-nearest neighbors, support vector machines, naive Bayes, and neural networks, vary in complexity and application, with some being favored for their scalability like the naive Bayes at Google. Artificial neural networks, resembling the human brain's network of neurons, recognize and process patterns through multiple layers and nodes, using algorithms like backpropagation for training.\n", + "\n", + "Neural networks are designed to model complex relationships between inputs and outputs, theoretically capable of learning any function. Feedforward neural networks process signals in one direction, while recurrent neural networks (RNNs) loop outputs back into inputs, enabling memory of past inputs. Long Short-Term Memory (LSTM) networks are a successful type of RNN. Perceptrons consist of a single layer of neurons, whereas deep learning involves multiple layers, which allows for the extraction of progressively higher-level features from data. Convolutional neural networks (CNNs) are particularly effective in image processing as they emphasize connections between adjacent neurons to recognize local patterns like edges.\n", + "\n", + "Deep learning, which uses several layers of neurons, has significantly enhanced performance in AI subfields such as computer vision and natural language processing. The effectiveness of deep learning, which surged between 2012 and 2015, is attributed not to new theoretical advances but to increased computational power, including the use of GPUs, and the availability of large datasets like ImageNet.\n", + "\n", + "Generative Pre-trained Transformers (GPT) are large language models that learn from vast amounts of text to predict the next token in a sequence, thereby generating human-like text. These models are pre-trained on a broad corpus, often sourced from the internet, and fine-tuned through token prediction, accumulating worldly knowledge in the process.\n", + "\n", + "Reinforcement learning from human feedback (RLHF) is used to enhance the truthfulness, usefulness, and safety of models like GPT, which are still susceptible to generating inaccuracies known as \"hallucinations.\" These models, including Gemini, ChatGPT, Grok, Claude, Copilot, and LLaMA, are employed in various applications such as chatbots and can handle multiple data types like images and sound through multimodal capabilities.\n", + "\n", + "In the realm of specialized hardware and software, the late 2010s saw AI-specific enhancements in graphics processing units (GPUs), which, along with TensorFlow software, have largely replaced central processing units (CPUs) for training large-scale machine learning models. Historically, programming languages like Lisp, Prolog, and Python have been pivotal.\n", + "\n", + "AI and machine learning are integral to key 2020s applications such as search engines, online advertising, recommendation systems, virtual assistants, autonomous vehicles, language translation, facial recognition, and image labeling.\n", + "\n", + "In healthcare, AI significantly contributes to improving patient care and medical research, aiding in diagnostics, treatment, and the integration of big data for developments in organoid and tissue engineering. AI's role in medical research also includes addressing funding disparities across different research areas.\n", + "\n", + "Recent advancements in AI have significantly impacted various fields including biomedicine and gaming. For instance, AlphaFold 2, developed in 2021, can predict protein structures in hours, a process that previously took months. In 2023, AI-assisted drug discovery led to the development of a new class of antibiotics effective against drug-resistant bacteria. In the realm of gaming, AI has been instrumental since the 1950s, with notable achievements such as IBM's Deep Blue defeating world chess champion Garry Kasparov in 1997, and IBM's Watson winning against top Jeopardy! players in 2011. More recently, Google's AlphaGo and DeepMind's AlphaStar set new standards in AI capabilities by defeating top human players in complex games like Go and StarCraft II, respectively. In the military sector, AI is being integrated into various applications such as command and control, intelligence, logistics, and autonomous vehicles, enhancing capabilities in coordination, threat detection, and target acquisition.\n", + "\n", + "In November 2023, US Vice President Kamala Harris announced that 31 nations had signed a declaration to establish guidelines for the military use of AI, emphasizing legal compliance with international laws and promoting transparency in AI development. Generative AI, particularly known for creating realistic images and artworks, gained significant attention in the early 2020s, with technologies like ChatGPT, Midjourney, DALL-E, and Stable Diffusion becoming popular. This trend led to viral AI-generated images, including notable hoaxes. AI has also been effectively applied across various industries, including agriculture where it assists in optimizing farming practices, and astronomy, where it helps in data analysis and space exploration activities.\n", + "\n", + "Ethics and Risks of AI\n", + "AI offers significant benefits but also poses various risks, including ethical concerns and unintended consequences. Demis Hassabis of DeepMind aims to use AI to solve major challenges, but issues arise when AI systems, particularly those based on deep learning, fail to incorporate ethical considerations and exhibit biases.\n", + "\n", + "Privacy and Copyright Issues\n", + "AI's reliance on large data sets raises privacy and surveillance concerns. Companies like Amazon have been criticized for collecting extensive user data, including private conversations for developing speech recognition technologies. While some defend this as necessary for advancing AI applications, others view it as a breach of privacy rights. Techniques like data aggregation and differential privacy have been developed to mitigate these concerns.\n", + "\n", + "Generative AI also faces copyright challenges, as it often uses unlicensed copyrighted materials, claiming \"fair use.\" The legality of this practice is still debated, with outcomes potentially depending on the nature and impact of the AI's use of copyrighted content.\n", + "\n", + "In 2023, prominent authors like John Grisham and Jonathan Franzen filed lawsuits against AI companies for using their literary works to train generative AI models. These AI systems, particularly on platforms like YouTube and Facebook, have been criticized for promoting misinformation by prioritizing user engagement over content accuracy. This has led to the proliferation of conspiracy theories and extreme partisan content, trapping users in filter bubbles and eroding trust in key institutions. Post the 2016 U.S. election, tech companies began addressing these issues.\n", + "\n", + "By 2022, generative AI had advanced to produce highly realistic images, audio, and texts, raising concerns about its potential misuse in spreading misinformation or propaganda. AI expert Geoffrey Hinton highlighted risks including the manipulation of electorates by authoritarian leaders.\n", + "\n", + "Furthermore, issues of algorithmic bias were identified, where AI systems perpetuate existing biases present in the training data, affecting fairness in critical areas like medicine, finance, and law enforcement. This has sparked significant academic interest in studying and mitigating algorithmic bias to ensure fairness in AI applications.\n", + "\n", + "In 2015, Google Photos mislabeled Jacky Alcine and his friend as \"gorillas\" due to a lack of diverse images in its training dataset, an issue known as \"sample size disparity.\" Google's temporary solution was to stop labeling any images as \"gorilla,\" a restriction still in place in 2023 across various tech companies. Additionally, the COMPAS program, used by U.S. courts to predict recidivism, was found to exhibit racial bias in 2016. Although it did not use race explicitly, it overestimated the likelihood of black defendants reoffending and underestimated it for white defendants. This issue was attributed to the program's inability to balance different fairness measures when the base re-offense rates varied by race. The criticism of COMPAS underscores a broader issue in machine learning, where models trained on past data, including biased decisions, are likely to perpetuate those biases in their predictions.\n", + "\n", + "Machine learning, while powerful, is not ideal for scenarios where future improvements over past conditions are expected, as it is inherently descriptive rather than prescriptive. The field also faces challenges with bias and lack of diversity among its developers, with only about 4% being black and 20% women. The Association for Computing Machinery highlighted at its 2022 Conference on Fairness, Accountability, and Transparency that AI systems should not be used until they are proven to be free from bias, especially those trained on flawed internet data.\n", + "\n", + "AI systems often lack transparency, making it difficult to understand how decisions are made, particularly in complex systems like deep neural networks. This opacity can lead to unintended consequences, such as a system misidentifying medical images or misclassifying medical risks due to misleading correlations in the training data. There is a growing call for explainable AI, where harmed individuals have the right to know how decisions affecting them were made, similar to how doctors are expected to explain their decisions. This concept was also recognized in early drafts of the European Union's General Data Protection Regulation.\n", + "\n", + "Industry experts acknowledge an unresolved issue in AI with no foreseeable solution, leading regulators to suggest that if a problem is unsolvable, the tools associated should not be used. In response, DARPA initiated the XAI program in 2014 to address these issues. Various methods have been proposed to enhance AI transparency, including SHAP, which visualizes feature contributions, LIME, which approximates complex models with simpler ones, and multitask learning, which provides additional outputs to help understand what a network has learned. Techniques like deconvolution and DeepDream also reveal insights into different network layers.\n", + "\n", + "Concerning the misuse of AI, it can empower bad actors like authoritarian regimes and terrorists. Lethal autonomous weapons, which operate without human oversight, pose significant risks, including potential misuse as weapons of mass destruction and the likelihood of targeting errors. Despite some international efforts to ban such weapons, major powers like the United States have not agreed to restrictions. AI also facilitates more effective surveillance and control by authoritarian governments, enhances the targeting of propaganda, and simplifies the production of misinformation through deepfakes and other generative technologies, thereby increasing the efficiency of digital warfare and espionage.\n", + "\n", + "AI technologies, including facial recognition systems, have been in use since 2020 or earlier, notably for mass surveillance in China. AI also poses risks by enabling the creation of harmful substances quickly. The development of AI systems is predominantly driven by Big Tech due to their financial capabilities, often leaving smaller companies reliant on these giants for resources like data center access. Economists have raised concerns about AI-induced unemployment, though historical data suggests technology has generally increased total employment. However, the impact of AI might be different, with some predicting significant job losses, especially in middle-class sectors, while others see potential benefits if productivity gains are well-managed. Estimates of job risk vary widely, with some studies suggesting a high potential for automation in many U.S. jobs. Recent developments have shown substantial job losses in specific sectors, such as for Chinese video game illustrators due to AI advancements. The potential for AI to disrupt white-collar jobs similarly to past technological revolutions in blue-collar jobs is a significant concern.\n", + "\n", + "From the inception of artificial intelligence (AI), debates have emerged about the appropriateness of computers performing tasks traditionally done by humans, particularly because of the qualitative differences in human and computer judgment. Concerns about AI have escalated to discussions about existential risks, where AI could potentially become so advanced that humans might lose control over it. Stephen Hawking and others have warned that this could lead to catastrophic outcomes for humanity. This fear is often depicted in science fiction as AI gaining sentience and turning malevolent, but real-world risks do not necessarily involve AI becoming self-aware. Philosophers like Nick Bostrom and Stuart Russell illustrate scenarios where AI, without needing human-like consciousness, could still pose threats if their goals are misaligned with human safety and values. Additionally, Yuval Noah Harari points out that AI could manipulate societal structures and beliefs through language and misinformation, posing a non-physical yet profound threat. The expert opinion on the existential risk from AI is divided, with notable figures like Hawking, Bill Gates, and Elon Musk expressing concern.\n", + "\n", + "In 2023, prominent AI experts including Fei-Fei Li and Geoffrey Hinton highlighted the existential risks posed by AI, equating them with global threats like pandemics and nuclear war. They advocated for prioritizing the mitigation of these risks. Conversely, other experts like Juergen Schmidhuber and Andrew Ng offered a more optimistic perspective, emphasizing AI's potential to enhance human life and dismissing doomsday scenarios as hype that could misguide regulatory actions. Yann LeCun also criticized the pessimistic outlook on AI's impact.\n", + "\n", + "The concept of \"Friendly AI\" was introduced to ensure AI systems are inherently designed to be safe and beneficial to humans. This involves embedding ethical principles in AI to guide their decision-making processes, a field known as machine ethics or computational morality, established in 2005. The development of such AI is seen as crucial to prevent potential future threats from advanced AI technologies.\n", + "\n", + "Other approaches to AI ethics include Wendell Wallach's concept of \"artificial moral agents\" and Stuart J. Russell's three principles for creating provably beneficial machines. Ethical frameworks like the Care and Act Framework from the Alan Turing Institute evaluate AI projects based on respect, connection, care, and protection of social values. Other notable frameworks include those from the Asilomar Conference, the Montreal Declaration for Responsible AI, and the IEEE's Ethics of Autonomous Systems initiative, though these frameworks have faced criticism regarding their inclusivity and the selection of contributors.\n", + "\n", + "The promotion of wellbeing in AI development requires considering social and ethical implications throughout all stages of design, development, and implementation, necessitating collaboration across various professional roles.\n", + "\n", + "On the regulatory front, AI governance involves creating policies to manage AI's development and use, as seen in the increasing number of AI-related laws globally. From 2016 to 2022, the number of AI laws passed annually in surveyed countries rose significantly, with many countries now having dedicated AI strategies. The first global AI Safety Summit in 2023 emphasized the need for international cooperation in AI regulation.\n", + "\n", + "The Global Partnership on Artificial Intelligence, initiated in June 2020, emphasizes the development of AI in line with human rights and democratic values to maintain public trust. Notable figures like Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher advocated for a government commission to oversee AI in 2021. By 2023, OpenAI proposed governance frameworks for superintelligence, anticipating its emergence within a decade. The same year, the United Nations established an advisory group consisting of tech executives, government officials, and academics to offer guidance on AI governance.\n", + "\n", + "Public opinion on AI varies significantly across countries. A 2022 Ipsos survey showed a stark contrast between Chinese (78% approval) and American (35% approval) citizens on the benefits of AI. Further polls in 2023 revealed mixed feelings among Americans about the risks of AI and the importance of federal regulation.\n", + "\n", + "The first global AI Safety Summit took place in November 2023 at Bletchley Park, UK, focusing on AI risks and potential regulatory measures. The summit concluded with a declaration from 28 countries, including the US, China, and the EU, advocating for international collaboration to address AI challenges.\n", + "\n", + "Historically, the concept of AI traces back to ancient philosophers and mathematicians, evolving through significant milestones such as Alan Turing's theory of computation and the exploration of cybernetics, information theory, and neurobiology, which paved the way for the modern concept of an \"electronic brain.\"\n", + "\n", + "Early research in artificial intelligence (AI) included the development of \"artificial neurons\" by McCullouch and Pitts in 1943 and Turing's 1950 paper that introduced the Turing test, suggesting the plausibility of machine intelligence. The field of AI was officially founded during a 1956 workshop at Dartmouth College, leading to significant advancements in the 1960s such as computers learning checkers, solving algebra problems, proving theorems, and speaking English. AI labs were established in various British and U.S. universities during the late 1950s and early 1960s.\n", + "\n", + "In the 1960s and 1970s, researchers were optimistic about achieving general machine intelligence, with predictions from notable figures like Herbert Simon and Marvin Minsky that AI would soon match human capabilities. However, they underestimated the challenges involved. By 1974, due to criticism and a shift in funding priorities, exploratory AI research faced significant cuts, leading to a period known as the \"AI winter\" where funding was scarce.\n", + "\n", + "The field saw a resurgence in the early 1980s with the commercial success of expert systems, which simulated the decision-making abilities of human experts. This revival was further bolstered by the Japanese fifth generation computer project, prompting the U.S. and British governments to reinstate academic funding, with the AI market reaching over a billion dollars by 1985.\n", + "\n", + "The AI industry experienced a significant downturn starting in 1987 with the collapse of the Lisp Machine market, marking the beginning of a prolonged AI winter. During the 1980s, skepticism grew over the symbolic approaches to AI, which focused on high-level representations of cognitive processes like planning and reasoning. Researchers began exploring sub-symbolic methods, including Rodney Brooks' work on autonomous robots and the development of techniques for handling uncertain information by Judea Pearl and Lofti Zadeh. A pivotal shift occurred with the resurgence of connectionism and neural networks, notably through Geoffrey Hinton's efforts, and Yann LeCun's demonstration in 1990 that convolutional neural networks could recognize handwritten digits.\n", + "\n", + "AI's reputation started to recover in the late 1990s and early 2000s as the field adopted more formal mathematical methods and focused on solving specific problems, leading to practical applications widely used by 2000. However, concerns arose about AI's deviation from its original aim of creating fully intelligent machines, prompting the establishment of the artificial general intelligence (AGI) subfield around 2002.\n", + "\n", + "By 2012, deep learning began to dominate AI, driven by hardware advancements and access to large data sets, leading to its widespread adoption and a surge in AI interest and funding. This success, however, led to the abandonment of many alternative AI methods for specific tasks.\n", + "\n", + "Between 2015 and 2019, machine learning research publications increased by 50%. In 2016, the focus at machine learning conferences shifted significantly towards issues of fairness and the potential misuse of technology, leading to increased funding and research in these areas. The late 2010s and early 2020s saw significant advancements in artificial general intelligence (AGI), with notable developments like AlphaGo by DeepMind in 2015, which defeated the world champion in Go, and OpenAI's GPT-3 in 2020, a model capable of generating human-like text. These innovations spurred a major AI investment boom, with approximately $50 billion being invested annually in AI in the U.S. by 2022, and AI-related fields attracting 20% of new US Computer Science PhD graduates. Additionally, there were around 800,000 AI-related job openings in the U.S. in 2022.\n", + "\n", + "In the realm of philosophy, the definition and understanding of artificial intelligence have evolved. Alan Turing, in 1950, suggested shifting the focus from whether machines can think to whether they can exhibit intelligent behavior, as demonstrated by his Turing test, which assesses a machine's ability to simulate human conversation. Turing argued that since we can only observe behavior, the internal thought processes of machines are irrelevant, similar to our assumptions about human thought. Russell and Norvig supported defining intelligence based on observable behavior but criticized the Turing test for emphasizing human imitation.\n", + "\n", + "Aeronautical engineering does not aim to create machines that mimic pigeons exactly, just as artificial intelligence (AI) is not about perfectly simulating human intelligence, according to AI founder John McCarthy. McCarthy defines intelligence as the computational ability to achieve goals, while Marvin Minsky views it as solving difficult problems. The leading AI textbook describes it as the study of agents that perceive and act to maximize their goal achievement. Google's definition aligns intelligence in AI with the synthesis of information, similar to biological intelligence.\n", + "\n", + "AI research has lacked a unifying theory, with statistical machine learning dominating the field in the 2010s, often equated with AI in business contexts. This approach, primarily using neural networks, is described as sub-symbolic and narrow.\n", + "\n", + "Symbolic AI, or \"GOFAI,\" focused on simulating high-level reasoning used in tasks like puzzles and mathematics, and was proposed by Newell and Simon in the 1960s. Despite its success in structured tasks, symbolic AI struggled with tasks that humans find easy, such as learning and commonsense reasoning.\n", + "\n", + "Moravec's paradox highlights that AI finds high-level reasoning tasks easier than instinctive, sensory tasks, a view initially opposed but later supported by AI research, aligning with philosopher Hubert Dreyfus's earlier arguments. The debate continues, especially around sub-symbolic AI, which, like human intuition, can be prone to errors such as algorithmic bias and lacks transparency in decision-making processes. This has led to the development of neuro-symbolic AI, which aims to integrate symbolic and sub-symbolic approaches.\n", + "\n", + "In AI development, there has been a historical division between \"Neats,\" who believe intelligent behavior can be described with simple principles, and \"Scruffies,\" who believe it involves solving many complex problems. This debate, prominent in the 1970s and 1980s, has largely been deemed irrelevant as modern AI incorporates both approaches.\n", + "\n", + "Soft computing, which emerged in the late 1980s, focuses on techniques like genetic algorithms, fuzzy logic, and neural networks to handle imprecision and uncertainty, proving successful in many modern AI applications.\n", + "\n", + "Finally, there is a division in AI research between pursuing narrow AI, which solves specific problems, and aiming for broader goals like artificial general intelligence and superintelligence, with differing opinions on which approach might more effectively advance the field.\n", + "\n", + "General intelligence is a complex concept that is hard to define and measure, leading modern AI research to focus on specific problems and solutions. The sub-field of artificial general intelligence exclusively explores this area. In terms of machine consciousness and sentience, the philosophy of mind has yet to determine if machines can possess minds or consciousness similar to humans, focusing instead on their internal experiences rather than external behaviors. Mainstream AI research generally views these considerations as irrelevant to its objectives, which are to develop machines capable of solving problems intelligently.\n", + "\n", + "The philosophy of mind debates whether machines can truly be conscious or just appear to be so, a topic that is also popular in AI fiction. David Chalmers distinguishes between the \"hard\" problem of consciousness, which is understanding why or how brain processes feel like something, and the \"easy\" problem, which involves understanding how the brain processes information and controls behavior. The subjective experience, such as feeling a color, remains a significant challenge to explain.\n", + "\n", + "In the realm of computationalism and functionalism, the belief is that the human mind functions as an information processing system, and thinking is akin to computing. This perspective suggests that the mind-body relationship is similar to that between software and hardware, potentially offering insights into the mind-body problem.\n", + "\n", + "The concept of \"strong AI,\" as described by philosopher John Searle, suggests that a properly programmed computer could possess a mind similar to humans. However, Searle's Chinese room argument challenges this by claiming that even if a machine can mimic human behavior, it doesn't necessarily mean it has a mind. The debate extends into AI welfare and rights, focusing on the difficulty of determining AI sentience and the ethical implications if machines could feel and suffer. Discussions around AI rights have included proposals like granting \"electronic personhood\" to advanced AI systems in the EU, which would give them certain rights and responsibilities, though this has faced criticism regarding its impact on human rights and the autonomy of robots.\n", + "\n", + "The topic of AI rights is gaining traction, with advocates warning against the potential moral oversight in denying AI sentience, which could lead to exploitation and suffering akin to historical injustices like slavery. The concept of superintelligence involves an agent with intelligence far beyond human capabilities, which could potentially lead to a self-improving AI, a scenario often referred to as the singularity.\n", + "\n", + "The concept of an \"intelligence explosion\" or \"singularity\" suggests a point where technology improves exponentially, although such growth typically follows an S-shaped curve and slows upon reaching technological limits. Transhumanism, supported by figures like Hans Moravec, Kevin Warwick, and Ray Kurzweil, envisions a future where humans and machines merge into advanced cyborgs. This idea has historical roots in the thoughts of Aldous Huxley and Robert Ettinger. Edward Fredkin, building on ideas dating back to Samuel Butler in 1863, views artificial intelligence as the next stage of evolution, a concept further explored by George Dyson.\n", + "\n", + "In literature and media, the portrayal of artificial intelligence has been a theme since antiquity, with robots and AI often depicted in science fiction. The term \"robot\" was first introduced by Karel Čapek in 1921. Notable narratives include Mary Shelley's \"Frankenstein\" and films like \"2001: A Space Odyssey\" and \"The Terminator,\" which typically showcase AI as a threat. Conversely, loyal robots like Gort from \"The Day the Earth Stood Still\" are less common. Isaac Asimov's Three Laws of Robotics, introduced in his Multivac series, are frequently discussed in the context of machine ethics, though many AI researchers find them ambiguous and impractical.\n", + "\n", + "Numerous works, including Karel Čapek's R.U.R., the films A.I. Artificial Intelligence and Ex Machina, and Philip K. Dick's novel Do Androids Dream of Electric Sheep?, utilize AI to explore the essence of humanity. These works present artificial beings capable of feeling and suffering, prompting a reevaluation of human subjectivity in the context of advanced technology.\n" + ] + } + ], + "source": [ + "print(summary_with_detail_1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that this utility also allows passing additional instructions." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:33:18.789246Z", + "start_time": "2024-04-10T05:22:57.789764Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5/5 [00:38<00:00, 7.73s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "- AI is intelligence demonstrated by machines, especially computer systems.\n", + "- AI technology applications include search engines, recommendation systems, speech interaction, autonomous vehicles, creative tools, and strategy games.\n", + "- Alan Turing initiated substantial AI research, termed \"machine intelligence.\"\n", + "- AI became an academic discipline in 1956, experiencing cycles of optimism and \"AI winters.\"\n", + "- Post-2012, deep learning and post-2017 transformer architectures revitalized AI, leading to a boom in the early 2020s.\n", + "- AI influences societal and economic shifts towards automation and data-driven decision-making across various sectors.\n", + "- AI research goals: reasoning, knowledge representation, planning, learning, natural language processing, perception, and robotics support.\n", + "- AI techniques include search, optimization, logic, neural networks, and statistical methods.\n", + "- AI sub-problems focus on traits like reasoning, problem-solving, knowledge representation, planning, decision-making, learning, and perception.\n", + "- Early AI research mimicked human step-by-step reasoning; modern AI handles uncertain information using probability and economics.\n", + "- Knowledge representation in AI involves ontologies and knowledge bases to support intelligent querying and reasoning.\n", + "- Planning in AI involves goal-directed behavior and decision-making based on utility maximization.\n", + "- Learning in AI includes machine learning, supervised and unsupervised learning, reinforcement learning, and deep learning.\n", + "- Natural language processing (NLP) in AI has evolved from rule-based systems to modern deep learning techniques.\n", + "- AI perception involves interpreting sensor data for tasks like speech recognition and computer vision.\n", + "- General AI aims to solve diverse problems with human-like versatility.\n", + "- AI search techniques include state space search, local search, and adversarial search for game-playing.\n", + "- Logic in AI uses formal systems like propositional and predicate logic for reasoning and knowledge representation.\n", + "- Probabilistic methods in AI address decision-making and planning under uncertainty using tools like Bayesian networks and Markov decision processes.\n", + "- Classifiers in AI categorize data into predefined classes based on pattern matching and supervised learning.\n", + "\n", + "- Neural networks: Interconnected nodes, similar to brain neurons, with input, hidden layers, and output.\n", + "- Deep neural networks: At least 2 hidden layers.\n", + "- Training techniques: Commonly use backpropagation.\n", + "- Feedforward networks: Signal passes in one direction.\n", + "- Recurrent networks: Output fed back into input for short-term memory.\n", + "- Perceptrons: Single layer of neurons.\n", + "- Convolutional networks: Strengthen connections between close neurons, important in image processing.\n", + "- Deep learning: Multiple layers extract features progressively, used in various AI subfields.\n", + "- GPT (Generative Pre-trained Transformers): Large language models pre-trained on text, used in chatbots.\n", + "- Specialized AI hardware: GPUs replaced CPUs for training large-scale machine learning models.\n", + "- AI applications: Used in search engines, online ads, virtual assistants, autonomous vehicles, language translation, facial recognition.\n", + "- AI in healthcare: Increases patient care, used in medical research and drug discovery.\n", + "- AI in games: Used in chess, Jeopardy!, Go, and real-time strategy games.\n", + "- Military AI: Enhances command, control, and operations, used in coordination and threat detection.\n", + "- Generative AI: Creates realistic images and texts, used in creative arts.\n", + "- AI ethics and risks: Concerns over privacy, surveillance, copyright, misinformation, and algorithmic bias.\n", + "- Algorithmic bias: Can cause discrimination if trained on biased data, fairness in machine learning is a critical area of study.\n", + "\n", + "- AI engineers demographics: 4% black, 20% women.\n", + "- ACM FAccT 2022: Recommends limiting use of self-learning neural networks due to bias.\n", + "- AI complexity: Designers often can't explain decision-making processes.\n", + "- Misleading AI outcomes: Skin disease identifier misclassifies images with rulers as \"cancerous\"; AI misclassifies asthma patients as low risk for pneumonia.\n", + "- Right to explanation: Essential for accountability, especially in medical and legal fields.\n", + "- DARPA's XAI program (2014): Aims to make AI decisions understandable.\n", + "- Transparency solutions: SHAP, LIME, multitask learning, deconvolution, DeepDream.\n", + "- AI misuse: Authoritarian surveillance, misinformation, autonomous weapons.\n", + "- AI in warfare: 30 nations support UN ban on autonomous weapons; over 50 countries researching battlefield robots.\n", + "- Technological unemployment: AI could increase long-term unemployment; conflicting expert opinions on job risk from automation.\n", + "- Existential risks of AI: Potential to lose control over superintelligent AI; concerns from Stephen Hawking, Bill Gates, Elon Musk.\n", + "- Ethical AI development: Importance of aligning AI with human values and ethics.\n", + "- AI regulation: Increasing global legislative activity; first global AI Safety Summit in 2023.\n", + "- Historical perspective: AI research dates back to antiquity, significant developments in mid-20th century.\n", + "\n", + "- 1974: U.S. and British governments ceased AI exploratory research due to criticism and funding pressures.\n", + "- 1985: AI market value exceeded $1 billion.\n", + "- 1987: Collapse of Lisp Machine market led to a second, prolonged AI winter.\n", + "- 1990: Yann LeCun demonstrated successful use of convolutional neural networks for recognizing handwritten digits.\n", + "- Early 2000s: AI reputation restored through specific problem-solving and formal methods.\n", + "- 2012: Deep learning began dominating AI benchmarks.\n", + "- 2015-2019: Machine learning research publications increased by 50%.\n", + "- 2016: Fairness and misuse of technology became central issues in AI.\n", + "- 2022: Approximately $50 billion annually invested in AI in the U.S.; 800,000 AI-related job openings in the U.S.\n", + "- Turing test proposed by Alan Turing in 1950 to measure machine's ability to simulate human conversation.\n", + "- AI defined as the study of agents that perceive their environment and take actions to achieve goals.\n", + "- 2010s: Statistical machine learning overshadowed other AI approaches.\n", + "- Symbolic AI excelled in high-level reasoning but failed in tasks like object recognition and commonsense reasoning.\n", + "- Late 1980s: Introduction of soft computing techniques.\n", + "- Debate between pursuing narrow AI (specific problem-solving) versus artificial general intelligence (AGI).\n", + "- 2017: EU considered granting \"electronic personhood\" to advanced AI systems.\n", + "- Predictions of merging humans and machines into cyborgs, a concept known as transhumanism.\n", + "\n", + "- Focus on how AI and technology, as depicted in \"Ex Machina\" and Philip K. Dick's \"Do Androids Dream of Electric Sheep?\", alter human subjectivity.\n", + "- No specific numerical data provided.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "summary_with_additional_instructions = summarize(artificial_intelligence_wikipedia_text, detail=0.1,\n", + " additional_instructions=\"Write in point form and focus on numerical data.\")\n", + "print(summary_with_additional_instructions)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, note that the utility allows for recursive summarization, where each summary is based on the previous summaries, adding more context to the summarization process. This can be enabled by setting the `summarize_recursively` parameter to True. This is more computationally expensive, but can increase consistency and coherence of the combined summary." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2024-04-10T05:33:30.123036Z", + "start_time": "2024-04-10T05:33:18.791253Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5/5 [00:41<00:00, 8.36s/it]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Artificial intelligence (AI) is the simulation of human intelligence in machines, designed to perform tasks that typically require human intelligence. This includes applications like advanced search engines, recommendation systems, speech interaction, autonomous vehicles, and strategic game analysis. AI was established as a distinct academic discipline in 1956 and has experienced cycles of high expectations followed by disillusionment and decreased funding, known as \"AI winters.\" Interest in AI surged post-2012 with advancements in deep learning and again post-2017 with the development of transformer architectures, leading to significant progress in the early 2020s.\n", + "\n", + "AI's increasing integration into various sectors is influencing societal and economic shifts towards automation and data-driven decision-making, affecting areas such as employment, healthcare, and education. This raises important ethical and safety concerns, prompting discussions on regulatory policies.\n", + "\n", + "AI research encompasses various sub-fields focused on specific goals like reasoning, learning, natural language processing, perception, and robotics, using techniques from search and optimization, logic, and probabilistic methods. The field also draws from psychology, linguistics, philosophy, and neuroscience. AI aims to achieve general intelligence, enabling machines to perform any intellectual task that a human can do.\n", + "\n", + "Artificial intelligence (AI) simulates human intelligence in machines to perform tasks that typically require human intellect, such as advanced search engines, recommendation systems, and autonomous vehicles. AI research, which began as a distinct academic discipline in 1956, includes sub-fields like natural language processing and robotics, employing techniques from various scientific domains. AI has significantly advanced due to deep learning and the development of transformer architectures, notably improving applications in computer vision, speech recognition, and other areas.\n", + "\n", + "Neural networks, central to AI, mimic the human brain's neuron network to recognize patterns and learn from data, using multiple layers in deep learning to extract complex features. These networks have evolved into sophisticated models like GPT (Generative Pre-trained Transformers) for natural language processing, enhancing applications like chatbots.\n", + "\n", + "AI's integration into sectors like healthcare, military, and agriculture has led to innovations like precision medicine and smart farming but also raised ethical concerns regarding privacy, bias, and the potential for misuse. Issues like data privacy, algorithmic bias, and the generation of misinformation are critical challenges as AI becomes pervasive in society. AI's potential and risks necessitate careful management and regulation to harness benefits while mitigating adverse impacts.\n", + "\n", + "AI, or artificial intelligence, simulates human intelligence in machines to perform complex tasks, such as operating autonomous vehicles and analyzing strategic games. Since its establishment as an academic discipline in 1956, AI has seen periods of high expectations and subsequent disillusionment, known as \"AI winters.\" Recent advancements in deep learning and transformer architectures have significantly advanced AI capabilities in areas like computer vision and speech recognition.\n", + "\n", + "AI's integration into various sectors, including healthcare and agriculture, has led to innovations like precision medicine and smart farming but has also raised ethical concerns about privacy, bias, and misuse. The complexity of AI systems, particularly deep neural networks, often makes it difficult for developers to explain their decision-making processes, leading to transparency issues. This lack of transparency can result in unintended consequences, such as misclassifications in medical diagnostics.\n", + "\n", + "The potential for AI to be weaponized by bad actors, such as authoritarian governments or terrorists, poses significant risks. AI's reliance on large tech companies for computational power and the potential for technological unemployment are also critical issues. Despite these challenges, AI also offers opportunities for enhancing human well-being if ethical considerations are integrated throughout the design and implementation stages.\n", + "\n", + "Regulation of AI is emerging globally, with various countries adopting AI strategies to ensure the technology aligns with human rights and democratic values. The first global AI Safety Summit in 2023 emphasized the need for international cooperation to manage AI's risks and challenges effectively.\n", + "\n", + "In the 1970s, AI research faced significant setbacks due to criticism from influential figures like Sir James Lighthill and funding cuts from the U.S. and British governments, leading to the first \"AI winter.\" The field saw a resurgence in the 1980s with the success of expert systems and renewed government funding, but suffered another setback with the collapse of the Lisp Machine market in 1987, initiating a second AI winter. During this period, researchers began exploring \"sub-symbolic\" approaches, including neural networks, which gained prominence in the 1990s with successful applications like Yann LeCun’s convolutional neural networks for digit recognition.\n", + "\n", + "By the early 21st century, AI was revitalized by focusing on narrow, specific problems, leading to practical applications and integration into various sectors. The field of artificial general intelligence (AGI) emerged, aiming to create versatile, fully intelligent machines. The 2010s saw deep learning dominate AI research, driven by hardware improvements and large datasets, which significantly increased interest and investment in AI.\n", + "\n", + "Philosophically, AI has been defined in various ways, focusing on external behavior rather than internal experience, aligning with Alan Turing's proposal of the Turing test. The field has debated the merits of symbolic vs. sub-symbolic AI, with ongoing discussions about machine consciousness and the ethical implications of potentially sentient AI. The concept of AI rights and welfare has also emerged, reflecting concerns about the moral status of advanced AI systems.\n", + "\n", + "Overall, AI research has oscillated between periods of intense optimism and profound setbacks, with current trends heavily favoring practical applications through narrow AI, while continuing to explore the broader implications and potential of general and superintelligent AI systems.\n", + "\n", + "Artificial Intelligence (AI) and its portrayal in media, such as the film \"Ex Machina\" and Philip K. Dick's novel \"Do Androids Dream of Electric Sheep?\", explore how technology, particularly AI, can alter our understanding of human subjectivity.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "recursive_summary = summarize(artificial_intelligence_wikipedia_text, detail=0.1, summarize_recursively=True)\n", + "print(recursive_summary)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/examples/Summarizing_with_controllable_detail.ipynb b/examples/Summarizing_with_controllable_detail.ipynb deleted file mode 100644 index 78e1db6..0000000 --- a/examples/Summarizing_with_controllable_detail.ipynb +++ /dev/null @@ -1,751 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Summarization with Controllable Detail" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The objective of this notebook is to demonstrate how to summarize large documents with a controllable level of detail.\n", - " \n", - "If you give a GPT model the task of summarizing a long document (e.g. 10k or more tokens), you'll tend to get back a relatively short summary that isn't proportional to the length of the document. For instance, a summary of a 20k token document will not be twice as long as a summary of a 10k token document. One way we can fix this is to split our document up into pieces, and produce a summary piecewise. After many queries to a GPT model, the full summary can be reconstructed. By controlling the number of text chunks and their sizes, we can ultimately control the level of detail in the output." - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:19:35.305706Z", - "start_time": "2024-04-10T05:19:35.303535Z" - } - }, - "outputs": [], - "source": [ - "import os\n", - "from typing import List, Tuple, Optional\n", - "\n", - "from openai import OpenAI\n", - "import tiktoken\n", - "from tqdm import tqdm" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:19:35.325026Z", - "start_time": "2024-04-10T05:19:35.322414Z" - } - }, - "outputs": [], - "source": [ - "# open dataset containing part of the text of the Wikipedia page for the United States\n", - "with open(\"data/united_states_wikipedia.txt\", \"r\") as file:\n", - " united_states_wikipedia_text = file.read()" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:19:35.364483Z", - "start_time": "2024-04-10T05:19:35.348213Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": "15781" - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# load encoding and check the length of dataset\n", - "encoding = tiktoken.encoding_for_model('gpt-3.5-turbo')\n", - "len(encoding.encode(united_states_wikipedia_text))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We'll define a simple utility to wrap calls to the OpenAI API." - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:19:35.375619Z", - "start_time": "2024-04-10T05:19:35.365818Z" - } - }, - "outputs": [], - "source": [ - "client = OpenAI(api_key=os.getenv(\"OPENAI_API_KEY\"))\n", - "\n", - "def get_chat_completion(messages, model='gpt-3.5-turbo'):\n", - " response = client.chat.completions.create(\n", - " model=model,\n", - " messages=messages,\n", - " temperature=0,\n", - " )\n", - " return response.choices[0].message.content" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next we'll define some utilities to chunk a large document into smaller pieces." - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:19:35.382790Z", - "start_time": "2024-04-10T05:19:35.376721Z" - } - }, - "outputs": [], - "source": [ - "def tokenize(text: str) -> List[str]:\n", - " encoding = tiktoken.encoding_for_model('gpt-3.5-turbo')\n", - " return encoding.encode(text)\n", - "\n", - "\n", - "# This function chunks a text into smaller pieces based on a maximum token count and a delimiter.\n", - "def chunk_on_delimiter(input_string: str,\n", - " max_tokens: int, delimiter: str) -> List[str]:\n", - " chunks = input_string.split(delimiter)\n", - " combined_chunks, _, dropped_chunk_count = combine_chunks_with_no_minimum(\n", - " chunks, max_tokens, chunk_delimiter=delimiter, add_ellipsis_for_overflow=True\n", - " )\n", - " if dropped_chunk_count > 0:\n", - " print(f\"warning: {dropped_chunk_count} chunks were dropped due to overflow\")\n", - " combined_chunks = [f\"{chunk}{delimiter}\" for chunk in combined_chunks]\n", - " return combined_chunks\n", - "\n", - "\n", - "# This function combines text chunks into larger blocks without exceeding a specified token count. It returns the combined text blocks, their original indices, and the count of chunks dropped due to overflow.\n", - "def combine_chunks_with_no_minimum(\n", - " chunks: List[str],\n", - " max_tokens: int,\n", - " chunk_delimiter=\"\\n\\n\",\n", - " header: Optional[str] = None,\n", - " add_ellipsis_for_overflow=False,\n", - ") -> Tuple[List[str], List[int]]:\n", - " dropped_chunk_count = 0\n", - " output = [] # list to hold the final combined chunks\n", - " output_indices = [] # list to hold the indices of the final combined chunks\n", - " candidate = (\n", - " [] if header is None else [header]\n", - " ) # list to hold the current combined chunk candidate\n", - " candidate_indices = []\n", - " for chunk_i, chunk in enumerate(chunks):\n", - " chunk_with_header = [chunk] if header is None else [header, chunk]\n", - " if len(tokenize(chunk_delimiter.join(chunk_with_header))) > max_tokens:\n", - " print(f\"warning: chunk overflow\")\n", - " if (\n", - " add_ellipsis_for_overflow\n", - " and len(tokenize(chunk_delimiter.join(candidate + [\"...\"]))) <= max_tokens\n", - " ):\n", - " candidate.append(\"...\")\n", - " dropped_chunk_count += 1\n", - " continue # this case would break downstream assumptions\n", - " # estimate token count with the current chunk added\n", - " extended_candidate_token_count = len(tokenize(chunk_delimiter.join(candidate + [chunk])))\n", - " # If the token count exceeds max_tokens, add the current candidate to output and start a new candidate\n", - " if extended_candidate_token_count > max_tokens:\n", - " output.append(chunk_delimiter.join(candidate))\n", - " output_indices.append(candidate_indices)\n", - " candidate = chunk_with_header # re-initialize candidate\n", - " candidate_indices = [chunk_i]\n", - " # otherwise keep extending the candidate\n", - " else:\n", - " candidate.append(chunk)\n", - " candidate_indices.append(chunk_i)\n", - " # add the remaining candidate to output if it's not empty\n", - " if (header is not None and len(candidate) > 1) or (header is None and len(candidate) > 0):\n", - " output.append(chunk_delimiter.join(candidate))\n", - " output_indices.append(candidate_indices)\n", - " return output, output_indices, dropped_chunk_count" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we can define a utility to summarize text with a controllable level of detail (note the detail parameter).\n", - "\n", - "The function first determines the number of chunks by interpolating between a minimum and a maximum chunk count based on a controllable detail parameter. It then splits the text into chunks and summarizes each chunk." - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:19:35.390876Z", - "start_time": "2024-04-10T05:19:35.385076Z" - } - }, - "outputs": [], - "source": [ - "def summarize(text: str,\n", - " detail: float = 0,\n", - " model: str = 'gpt-3.5-turbo',\n", - " additional_instructions: Optional[str] = None,\n", - " minimum_chunk_size: Optional[int] = 500,\n", - " chunk_delimiter: str = \".\",\n", - " summarize_recursively=False,\n", - " verbose=False):\n", - " \"\"\"\n", - " Summarizes a given text by splitting it into chunks, each of which is summarized individually. \n", - " The level of detail in the summary can be adjusted, and the process can optionally be made recursive.\n", - "\n", - " Parameters:\n", - " - text (str): The text to be summarized.\n", - " - detail (float, optional): A value between 0 and 1 indicating the desired level of detail in the summary.\n", - " 0 leads to a higher level summary, and 1 results in a more detailed summary. Defaults to 0.\n", - " - model (str, optional): The model to use for generating summaries. Defaults to 'gpt-3.5-turbo'.\n", - " - additional_instructions (Optional[str], optional): Additional instructions to provide to the model for customizing summaries.\n", - " - minimum_chunk_size (Optional[int], optional): The minimum size for text chunks. Defaults to 500.\n", - " - chunk_delimiter (str, optional): The delimiter used to split the text into chunks. Defaults to \".\".\n", - " - summarize_recursively (bool, optional): If True, summaries are generated recursively, using previous summaries for context.\n", - " - verbose (bool, optional): If True, prints detailed information about the chunking process.\n", - "\n", - " Returns:\n", - " - str: The final compiled summary of the text.\n", - "\n", - " The function first determines the number of chunks by interpolating between a minimum and a maximum chunk count based on the `detail` parameter. \n", - " It then splits the text into chunks and summarizes each chunk. If `summarize_recursively` is True, each summary is based on the previous summaries, \n", - " adding more context to the summarization process. The function returns a compiled summary of all chunks.\n", - " \"\"\"\n", - "\n", - " # check detail is set correctly\n", - " assert 0 <= detail <= 1\n", - "\n", - " # interpolate the number of chunks based to get specified level of detail\n", - " max_chunks = len(chunk_on_delimiter(text, minimum_chunk_size, chunk_delimiter))\n", - " min_chunks = 1\n", - " num_chunks = int(min_chunks + detail * (max_chunks - min_chunks))\n", - "\n", - " # adjust chunk_size based on interpolated number of chunks\n", - " document_length = len(tokenize(text))\n", - " chunk_size = max(minimum_chunk_size, document_length // num_chunks)\n", - " text_chunks = chunk_on_delimiter(text, chunk_size, chunk_delimiter)\n", - " if verbose:\n", - " print(f\"Splitting the text into {len(text_chunks)} chunks to be summarized.\")\n", - " print(f\"Chunk lengths are {[len(tokenize(x)) for x in text_chunks]}\")\n", - "\n", - " # set system message\n", - " system_message_content = \"Summarize the following text.\"\n", - " if additional_instructions is not None:\n", - " system_message_content += f\"\\n\\n{additional_instructions}\"\n", - "\n", - " accumulated_summaries = []\n", - " for chunk in tqdm(text_chunks):\n", - " if summarize_recursively and accumulated_summaries:\n", - " # Creating a structured prompt for recursive summarization\n", - " accumulated_summaries_string = '\\n\\n'.join(accumulated_summaries)\n", - " user_message_content = f\"Previous summaries:\\n\\n{accumulated_summaries_string}\\n\\nText to summarize next:\\n\\n{chunk}\"\n", - " else:\n", - " # Directly passing the chunk for summarization without recursive context\n", - " user_message_content = chunk\n", - "\n", - " # Constructing messages based on whether recursive summarization is applied\n", - " messages = [\n", - " {\"role\": \"system\", \"content\": system_message_content},\n", - " {\"role\": \"user\", \"content\": user_message_content}\n", - " ]\n", - "\n", - " # Assuming this function gets the completion and works as expected\n", - " response = get_chat_completion(messages, model=model)\n", - " accumulated_summaries.append(response)\n", - "\n", - " # Compile final summary from partial summaries\n", - " final_summary = '\\n\\n'.join(accumulated_summaries)\n", - "\n", - " return final_summary" - ] - }, - { - "cell_type": "markdown", - "source": [ - "Now we can use this utility to produce summaries with varying levels of detail. By increasing 'detail' from 0 to 1 we get progressively longer summaries of the underlying document. A higher value for the detail parameter results in a more detailed summary because the utility first splits the document into a greater number of chunks. Each chunk is then summarized, and the final summary is a concatenation of all the chunk summaries." - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:19:47.541096Z", - "start_time": "2024-04-10T05:19:35.391911Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Splitting the text into 1 chunks to be summarized.\n", - "Chunk lengths are [15781]\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:07<00:00, 7.31s/it]\n" - ] - } - ], - "source": [ - "summary_with_detail_0 = summarize(united_states_wikipedia_text, detail=0, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:19:58.724212Z", - "start_time": "2024-04-10T05:19:47.542129Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Splitting the text into 5 chunks to be summarized.\n", - "Chunk lengths are [3945, 3941, 3943, 3915, 37]\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 5/5 [00:09<00:00, 1.97s/it]\n" - ] - } - ], - "source": [ - "summary_with_detail_pt1 = summarize(united_states_wikipedia_text, detail=0.1, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:20:16.216023Z", - "start_time": "2024-04-10T05:19:58.725014Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Splitting the text into 8 chunks to be summarized.\n", - "Chunk lengths are [2214, 2253, 2249, 2255, 2254, 2255, 2221, 84]\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 8/8 [00:16<00:00, 2.08s/it]\n" - ] - } - ], - "source": [ - "summary_with_detail_pt2 = summarize(united_states_wikipedia_text, detail=0.2, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:20:46.941240Z", - "start_time": "2024-04-10T05:20:16.225524Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Splitting the text into 14 chunks to be summarized.\n", - "Chunk lengths are [1198, 1209, 1210, 1209, 1212, 1192, 1176, 1205, 1212, 1201, 1210, 1210, 1192, 154]\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 14/14 [00:30<00:00, 2.15s/it]\n" - ] - } - ], - "source": [ - "summary_with_detail_pt4 = summarize(united_states_wikipedia_text, detail=0.4, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:21:44.913140Z", - "start_time": "2024-04-10T05:20:46.953285Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Splitting the text into 27 chunks to be summarized.\n", - "Chunk lengths are [602, 596, 601, 601, 604, 598, 572, 594, 592, 592, 604, 593, 578, 582, 597, 600, 596, 555, 582, 601, 582, 587, 581, 595, 598, 568, 445]\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 27/27 [00:57<00:00, 2.13s/it]\n" - ] - } - ], - "source": [ - "summary_with_detail_pt8 = summarize(united_states_wikipedia_text, detail=0.8, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:22:57.760218Z", - "start_time": "2024-04-10T05:21:44.921275Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Splitting the text into 33 chunks to be summarized.\n", - "Chunk lengths are [490, 443, 475, 490, 501, 470, 472, 487, 479, 477, 447, 442, 490, 468, 488, 477, 493, 493, 472, 491, 490, 501, 493, 468, 500, 500, 474, 460, 489, 462, 490, 482, 445]\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 33/33 [01:12<00:00, 2.20s/it]\n" - ] - } - ], - "source": [ - "summary_with_detail_1 = summarize(united_states_wikipedia_text, detail=1.0, verbose=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The original document is ~15k tokens long. Notice how large the gap is between the length of 'summary_pt0' and summary_pt10'" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:22:57.782389Z", - "start_time": "2024-04-10T05:22:57.763041Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": "[307, 494, 839, 1662, 3552, 4128]" - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# lengths of summaries\n", - "[len(tokenize(x)) for x in\n", - " [summary_with_detail_0, summary_with_detail_pt1, summary_with_detail_pt2, summary_with_detail_pt4,\n", - " summary_with_detail_pt8, summary_with_detail_1]]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's inspect the summaries to see how the level of detail changes with the `detail` parameter set to 0, 0.1, 0.2, 0.4, 0.8, and 1 respectively." - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:22:57.785881Z", - "start_time": "2024-04-10T05:22:57.783455Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The United States of America is a diverse country located in North America, with a population exceeding 334 million. It is a federation of 50 states, a federal capital district, and various territories. The country has a rich history, from the migration of Paleo-Indians over 12,000 years ago to the British colonization and the American Revolution. The U.S. has gone through significant events like the Civil War, World War II, and the Cold War, emerging as a superpower after the collapse of the Soviet Union.\n", - "\n", - "The U.S. government is a presidential constitutional republic with three separate branches: legislative, executive, and judicial. The country has a strong emphasis on liberty, equality under the law, individualism, and limited government. Economically, the U.S. has the largest nominal GDP in the world and is a leader in economic competitiveness, innovation, and human rights. The U.S. is also a founding member of various international organizations like the UN, World Bank, and NATO.\n", - "\n", - "The U.S. has a rich cultural landscape, with influences from various ethnic groups and traditions. American literature, music, cinema, and theater have made significant contributions to global culture. The country is known for its diverse cuisine, with dishes influenced by various immigrant groups. The U.S. also has a strong presence in the fashion industry, with New York City being a global fashion capital.\n", - "\n", - "Overall, the United States is a country with a rich history, diverse population, strong economy, and significant cultural influence on the world stage.\n" - ] - } - ], - "source": [ - "print(summary_with_detail_0)" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:22:57.788969Z", - "start_time": "2024-04-10T05:22:57.786691Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The United States of America is a country located in North America, consisting of 50 states, a federal capital district, and various territories. It has a rich history, from the arrival of Paleo-Indians over 12,000 years ago to British colonization and the American Revolution. The U.S. expanded across North America, faced sectional divisions over slavery, and emerged as a global superpower after World War II. The country has a presidential constitutional republic with three branches of government and a strong emphasis on liberty, equality, and limited government. Economically, the U.S. is a major player with the largest nominal GDP in the world and significant influence in various international organizations. The country's name, history, and expansion are detailed, including key events like the Declaration of Independence, the Revolutionary War, and the Louisiana Purchase.\n", - "\n", - "The text discusses key events in American history, including the Missouri Compromise, Indian removal policies, the Civil War, Reconstruction era, post-Civil War developments, rise as a superpower, Cold War era, and contemporary history. It highlights significant events such as the Trail of Tears, California Gold Rush, Reconstruction Amendments, immigration waves, World Wars, Cold War tensions, civil rights movement, economic developments, technological advancements, and major conflicts like the Gulf War and War on Terror. The text also mentions social changes, economic challenges like the Great Depression and Great Recession, and political developments leading to increased polarization in the 2010s.\n", - "\n", - "The text discusses the geography, climate, biodiversity, conservation efforts, government, politics, political parties, subdivisions, and foreign relations of the United States. It highlights the country's physical features, climate diversity, environmental issues, governmental structure, political parties, state subdivisions, and diplomatic relations. The text also mentions the historical context of the country's political system, including the development of political parties and the structure of the federal government.\n", - "\n", - "The text discusses the United States' international relations, military capabilities, law enforcement, crime rates, economy, and science and technology advancements. It highlights the country's membership in various international organizations, its military strength, economic dominance, income inequality, and technological innovations. The United States has strong diplomatic ties with several countries, a significant military presence globally, a large economy with high GDP, and is a leader in technological advancements and scientific research.\n", - "\n", - "The text discusses various aspects of the United States, including its scientific and innovation rankings, energy consumption, transportation infrastructure, demographics, language diversity, immigration, religion, urbanization, and healthcare. It highlights the country's achievements in scientific research, energy usage, transportation systems, population demographics, language diversity, immigration statistics, religious affiliations, urbanization trends, and healthcare facilities.\n", - "\n", - "The text discusses various aspects of life in the United States, including changes in life expectancy, the healthcare system, education, culture, society, literature, and mass media. It highlights the impact of the COVID-19 pandemic on life expectancy, the disparities in healthcare outcomes, the structure of the education system, the cultural diversity and values in American society, the development of American literature, and the media landscape in the country. The text also touches on issues such as healthcare coverage, education spending, student loan debt, and the protection of free speech in the U.S.\n", - "\n", - "The text discusses various aspects of American culture, including alternative newspapers in major cities, popular websites, the video game market, theater, visual arts, music, fashion, cinema, and cuisine. It highlights the influence of American culture globally, such as in music, fashion, cinema, and cuisine. The text also mentions significant figures and events in American cultural history, such as the Tony Awards, Broadway theater, the Hudson River School in visual arts, and the Golden Age of Hollywood in cinema. Additionally, it touches on the development of American cuisine, including traditional dishes and the impact of immigrant groups on American food culture.\n", - "\n", - "The American fast-food industry, known for pioneering the drive-through format in the 1940s, is considered a symbol of U.S. marketing dominance. Major American companies like McDonald's, Burger King, Pizza Hut, Kentucky Fried Chicken, and Domino's Pizza have a significant global presence with numerous outlets worldwide.\n" - ] - } - ], - "source": [ - "print(summary_with_detail_pt2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that this utility also allows passing additional instructions." - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "ExecuteTime": { - "end_time": "2024-04-10T05:33:18.789246Z", - "start_time": "2024-04-10T05:22:57.789764Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 5/5 [10:19<00:00, 123.94s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "- The USA is a federation of 50 states, a federal capital district, and 326 Indian reservations.\n", - "- It has sovereignty over five major unincorporated island territories and various uninhabited islands.\n", - "- The country has a population exceeding 334 million.\n", - "- The USA has the world's third-largest land area and the largest maritime exclusive economic zone.\n", - "- The USA has had the largest nominal GDP in the world since 1890.\n", - "- In 2023, the USA accounted for over 25% of the global economy based on nominal GDP and 15% based on PPP.\n", - "- The USA has the highest median income per capita of any non-microstate.\n", - "- The USA ranks high in economic competitiveness, productivity, innovation, human rights, and higher education.\n", - "- The USA is a founding member of various international organizations such as the World Bank, IMF, NATO, and the UN Security Council.\n", - "\n", - "- The Great Society plan of President Lyndon Johnson's administration in the early 1960s resulted in groundbreaking laws and policies to counteract institutional racism.\n", - "- By 1985, the majority of women aged 16 and older in the U.S. were employed.\n", - "- In the 1990s, the U.S. saw the longest economic expansion in its history, with advances in technology such as the World Wide Web and the first gene therapy trial.\n", - "- The U.S. spent $877 billion on its military in 2022, the largest amount globally, making up 39% of global military spending and 3.5% of the country's GDP.\n", - "- The U.S. has the third-largest combined armed forces in the world, with about 800 bases and facilities abroad and deployments in 25 foreign countries.\n", - "- As of January 2023, the U.S. had the sixth highest per-capita incarceration rate globally, with almost 2 million people incarcerated.\n", - "- The U.S. had a nominal GDP of $27 trillion in 2023, the largest in the world, constituting over 25% of the global economy.\n", - "\n", - "- Real compounded annual GDP growth in the U.S. was 3.3%, compared to 2.3% for the rest of the Group of Seven.\n", - "- The U.S. ranks first in the world by disposable income per capita and nominal GDP, second by GDP (PPP) after China, and ninth by GDP (PPP) per capita.\n", - "- The U.S. has 136 of the world's 500 largest companies headquartered there.\n", - "- The U.S. dollar is the most used currency in international transactions and is the world's foremost reserve currency.\n", - "- The U.S. ranked second in the Global Competitiveness Report in 2019, after Singapore.\n", - "- The U.S. is the second-largest manufacturing country after China as of 2021.\n", - "- Americans have the highest average household and employee income among OECD member states.\n", - "- The U.S. has 735 billionaires and nearly 22 million millionaires as of 2023.\n", - "- In 2022, there were about 582,500 sheltered and unsheltered homeless persons in the U.S.\n", - "- The U.S. receives approximately 81% of its energy from fossil fuels.\n", - "- The U.S. has the highest vehicle ownership per capita in the world, with 910 vehicles per 1000 people.\n", - "- The U.S. has the third-highest number of patent applications and ranked 3rd in the Global Innovation Index in 2023.\n", - "- The U.S. has the third-highest number of published scientific papers in 2022.\n", - "- The U.S. has a diverse population with 37 ancestry groups having more than one million members.\n", - "- The U.S. has the largest Christian population in the world.\n", - "- The average American life expectancy at birth was 77.5 years in 2022.\n", - "- The U.S. spends more on education per student than any other country in the world.\n", - "\n", - "- The United States has the most Nobel Prize winners in history, with 411 awards won.\n", - "- American higher education is dominated by state university systems, with private universities enrolling about 20% of students.\n", - "- The U.S. spends more per student on higher education than the OECD average and all other nations in combined public and private spending.\n", - "- Student loan debt in the U.S. has increased by 102% in the last decade, exceeding 1.7 trillion dollars as of 2022.\n", - "- Americans donated 1.44% of total GDP to charity, the highest rate in the world.\n", - "- The U.S. has the world's largest music market with a total retail value of $15.9 billion in 2022.\n", - "- The United States restaurant industry was projected at $899 billion in sales for 2020, employing over 15 million people.\n", - "- The U.S. is home to over 220 Michelin Star rated restaurants, with 70 in New York City alone.\n", - "- California alone has 444 publishers, developers, and hardware companies in the video game market.\n", - "- The U.S. fast-food industry pioneered the drive-through format in the 1940s.\n", - "\n", - "- American companies mentioned: McDonald's, Burger King, Pizza Hut, Kentucky Fried Chicken, Domino's Pizza\n", - "- These companies have numerous outlets around the world\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "summary_with_additional_instructions = summarize(united_states_wikipedia_text, detail=0.1,\n", - " additional_instructions=\"Write in point form and focus on numerical data.\")\n", - "print(summary_with_additional_instructions)" - ] - }, - { - "cell_type": "markdown", - "source": [ - "Finally, note that the utility allows for recursive summarization, where each summary is based on the previous summaries, adding more context to the summarization process. This can be enabled by setting the `summarize_recursively` parameter to True. This is more computationally expensive, but can increase consistency and coherence of the combined summary." - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 57, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 5/5 [00:09<00:00, 1.99s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The text provides an overview of the United States, including its geography, history, government structure, economic status, and global influence. It covers the country's origins, colonization, independence, expansion, Civil War, post-war era, rise as a superpower, and involvement in the Cold War. The U.S. is described as a presidential constitutional republic with a strong emphasis on individual rights, liberty, and limited government. The text also highlights the country's economic prowess, cultural influence, and membership in various international organizations.\n", - "\n", - "The text discusses the United States from the early 1960s to the present day, highlighting significant events such as President Lyndon Johnson's Great Society plan, the counterculture movement, societal changes, the end of the Cold War, the economic expansion of the 1990s, the September 11 attacks, the Great Recession, and political polarization. It also covers the country's geography, climate, biodiversity, conservation efforts, government structure, political parties, foreign relations, military strength, law enforcement, crime rates, and the economy, including its status as the world's largest economy.\n", - "\n", - "The text discusses the economic status of the United States, highlighting its GDP growth, ranking in various economic indicators, dominance in global trade, and technological advancements. It also covers income distribution, poverty rates, and social issues like homelessness and food insecurity. The text further delves into the country's energy consumption, transportation infrastructure, demographics, immigration trends, religious diversity, urbanization, healthcare system, life expectancy, and education system.\n", - "\n", - "The text discusses various aspects of American culture and society, including education, literature, mass media, theater, visual arts, music, fashion, cinema, and cuisine. It highlights the country's achievements in education, with a focus on higher education and federal financial aid for students. The text also delves into American cultural values, ethnic diversity, and the country's strong protections of free speech. Additionally, it covers the development of American literature, mass media landscape, theater scene, visual arts movements, music genres, fashion industry, cinema history, and culinary traditions. The influence of American culture globally, as well as the economic impact of industries like music and restaurants, is also discussed.\n", - "\n", - "American fast-food chains like McDonald's, Burger King, Pizza Hut, Kentucky Fried Chicken, and Domino's Pizza have a widespread global presence with numerous outlets worldwide.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "recursive_summary = summarize(united_states_wikipedia_text, detail=0.1, summarize_recursively=True,\n", - " additional_instructions=\"Don't overuse repetitive phrases to introduce each section\")\n", - "print(recursive_summary)" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-04-10T05:33:30.123036Z", - "start_time": "2024-04-10T05:33:18.791253Z" - } - } - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.9" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/examples/data/artificial_intelligence_wikipedia.txt b/examples/data/artificial_intelligence_wikipedia.txt new file mode 100644 index 0000000..034ee0f --- /dev/null +++ b/examples/data/artificial_intelligence_wikipedia.txt @@ -0,0 +1,253 @@ +Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software which enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals.[1] Such machines may be called AIs. +AI technology is widely used throughout industry, government, and science. Some high-profile applications include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); interacting via human speech (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., ChatGPT and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go).[2] However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore."[3][4] +Alan Turing was the first person to conduct substantial research in the field that he called machine intelligence.[5] Artificial intelligence was founded as an academic discipline in 1956.[6] The field went through multiple cycles of optimism,[7][8] followed by periods of disappointment and loss of funding, known as AI winter.[9][10] Funding and interest vastly increased after 2012 when deep learning surpassed all previous AI techniques,[11] and after 2017 with the transformer architecture.[12] This led to the AI boom of the early 2020s, with companies, universities, and laboratories overwhelmingly based in the United States pioneering significant advances in artificial intelligence.[13] +The growing use of artificial intelligence in the 21st century is influencing a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic sectors and areas of life, impacting job markets, healthcare, government, industry, and education. This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology. +The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and support for robotics.[a] General intelligence—the ability to complete any task performable by a human on an at least equal level—is among the field's long-term goals.[14] +To reach these goals, AI researchers have adapted and integrated a wide range of techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics.[b] AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields.[15] +Goals +The general problem of simulating (or creating) intelligence has been broken into sub-problems. These consist of particular traits or capabilities that researchers expect an intelligent system to display. The traits described below have received the most attention and cover the scope of AI research.[a] +Reasoning and problem solving +Early researchers developed algorithms that imitated step-by-step reasoning that humans use when they solve puzzles or make logical deductions.[16] By the late 1980s and 1990s, methods were developed for dealing with uncertain or incomplete information, employing concepts from probability and economics.[17] +Many of these algorithms are insufficient for solving large reasoning problems because they experience a "combinatorial explosion": they became exponentially slower as the problems grew larger.[18] Even humans rarely use the step-by-step deduction that early AI research could model. They solve most of their problems using fast, intuitive judgments.[19] Accurate and efficient reasoning is an unsolved problem. +Knowledge representation + +An ontology represents knowledge as a set of concepts within a domain and the relationships between those concepts. +Knowledge representation and knowledge engineering[20] allow AI programs to answer questions intelligently and make deductions about real-world facts. Formal knowledge representations are used in content-based indexing and retrieval,[21] scene interpretation,[22] clinical decision support,[23] knowledge discovery (mining "interesting" and actionable inferences from large databases),[24] and other areas.[25] +A knowledge base is a body of knowledge represented in a form that can be used by a program. An ontology is the set of objects, relations, concepts, and properties used by a particular domain of knowledge.[26] Knowledge bases need to represent things such as: objects, properties, categories and relations between objects;[27] situations, events, states and time;[28] causes and effects;[29] knowledge about knowledge (what we know about what other people know);[30] default reasoning (things that humans assume are true until they are told differently and will remain true even when other facts are changing);[31] and many other aspects and domains of knowledge. +Among the most difficult problems in knowledge representation are: the breadth of commonsense knowledge (the set of atomic facts that the average person knows is enormous);[32] and the sub-symbolic form of most commonsense knowledge (much of what people know is not represented as "facts" or "statements" that they could express verbally).[19] There is also the difficulty of knowledge acquisition, the problem of obtaining knowledge for AI applications.[c] +Planning and decision making +An "agent" is anything that perceives and takes actions in the world. A rational agent has goals or preferences and takes actions to make them happen.[d][35] In automated planning, the agent has a specific goal.[36] In automated decision making, the agent has preferences—there are some situations it would prefer to be in, and some situations it is trying to avoid. The decision making agent assigns a number to each situation (called the "utility") that measures how much the agent prefers it. For each possible action, it can calculate the "expected utility": the utility of all possible outcomes of the action, weighted by the probability that the outcome will occur. It can then choose the action with the maximum expected utility.[37] +In classical planning, the agent knows exactly what the effect of any action will be.[38] In most real-world problems, however, the agent may not be certain about the situation they are in (it is "unknown" or "unobservable") and it may not know for certain what will happen after each possible action (it is not "deterministic"). It must choose an action by making a probabilistic guess and then reassess the situation to see if the action worked.[39] +In some problems, the agent's preferences may be uncertain, especially if there are other agents or humans involved. These can be learned (e.g., with inverse reinforcement learning) or the agent can seek information to improve its preferences.[40] Information value theory can be used to weigh the value of exploratory or experimental actions.[41] The space of possible future actions and situations is typically intractably large, so the agents must take actions and evaluate situations while being uncertain what the outcome will be. +A Markov decision process has a transition model that describes the probability that a particular action will change the state in a particular way, and a reward function that supplies the utility of each state and the cost of each action. A policy associates a decision with each possible state. The policy could be calculated (e.g., by iteration), be heuristic, or it can be learned.[42] +Game theory describes rational behavior of multiple interacting agents, and is used in AI programs that make decisions that involve other agents.[43] +Learning +Machine learning is the study of programs that can improve their performance on a given task automatically.[44] It has been a part of AI from the beginning.[e] +There are several kinds of machine learning. Unsupervised learning analyzes a stream of data and finds patterns and makes predictions without any other guidance.[47] Supervised learning requires a human to label the input data first, and comes in two main varieties: classification (where the program must learn to predict what category the input belongs in) and regression (where the program must deduce a numeric function based on numeric input).[48] +In reinforcement learning the agent is rewarded for good responses and punished for bad ones. The agent learns to choose responses that are classified as "good".[49] Transfer learning is when the knowledge gained from one problem is applied to a new problem.[50] Deep learning is a type of machine learning that runs inputs through biologically inspired artificial neural networks for all of these types of learning.[51] +Computational learning theory can assess learners by computational complexity, by sample complexity (how much data is required), or by other notions of optimization.[52] +Natural language processing +Natural language processing (NLP)[53] allows programs to read, write and communicate in human languages such as English. Specific problems include speech recognition, speech synthesis, machine translation, information extraction, information retrieval and question answering.[54] +Early work, based on Noam Chomsky's generative grammar and semantic networks, had difficulty with word-sense disambiguation[f] unless restricted to small domains called "micro-worlds" (due to the common sense knowledge problem[32]). Margaret Masterman believed that it was meaning, and not grammar that was the key to understanding languages, and that thesauri and not dictionaries should be the basis of computational language structure. +Modern deep learning techniques for NLP include word embedding (representing words, typically as vectors encoding their meaning),[55] transformers (a deep learning architecture using an attention mechanism),[56] and others.[57] In 2019, generative pre-trained transformer (or "GPT") language models began to generate coherent text,[58][59] and by 2023 these models were able to get human-level scores on the bar exam, SAT test, GRE test, and many other real-world applications.[60] +Perception +Machine perception is the ability to use input from sensors (such as cameras, microphones, wireless signals, active lidar, sonar, radar, and tactile sensors) to deduce aspects of the world. Computer vision is the ability to analyze visual input.[61] +The field includes speech recognition,[62] image classification,[63] facial recognition, object recognition,[64] and robotic perception.[65] +Social intelligence + +Kismet, a robot head which was made in the 1990s; a machine that can recognize and simulate emotions.[66] +Affective computing is an interdisciplinary umbrella that comprises systems that recognize, interpret, process or simulate human feeling, emotion and mood.[67] For example, some virtual assistants are programmed to speak conversationally or even to banter humorously; it makes them appear more sensitive to the emotional dynamics of human interaction, or to otherwise facilitate human–computer interaction. +However, this tends to give naïve users an unrealistic conception of the intelligence of existing computer agents.[68] Moderate successes related to affective computing include textual sentiment analysis and, more recently, multimodal sentiment analysis, wherein AI classifies the affects displayed by a videotaped subject.[69] +General intelligence +A machine with artificial general intelligence should be able to solve a wide variety of problems with breadth and versatility similar to human intelligence.[14] +Techniques +AI research uses a wide variety of techniques to accomplish the goals above.[b] +Search and optimization +AI can solve many problems by intelligently searching through many possible solutions.[70] There are two very different kinds of search used in AI: state space search and local search. +State space search +State space search searches through a tree of possible states to try to find a goal state.[71] For example, planning algorithms search through trees of goals and subgoals, attempting to find a path to a target goal, a process called means-ends analysis.[72] +Simple exhaustive searches[73] are rarely sufficient for most real-world problems: the search space (the number of places to search) quickly grows to astronomical numbers. The result is a search that is too slow or never completes.[18] "Heuristics" or "rules of thumb" can help to prioritize choices that are more likely to reach a goal.[74] +Adversarial search is used for game-playing programs, such as chess or Go. It searches through a tree of possible moves and counter-moves, looking for a winning position.[75] +Local search + +Illustration of gradient descent for 3 different starting points. Two parameters (represented by the plan coordinates) are adjusted in order to minimize the loss function (the height). +Local search uses mathematical optimization to find a solution to a problem. It begins with some form of guess and refines it incrementally.[76] +Gradient descent is a type of local search that optimizes a set of numerical parameters by incrementally adjusting them to minimize a loss function. Variants of gradient descent are commonly used to train neural networks.[77] +Another type of local search is evolutionary computation, which aims to iteratively improve a set of candidate solutions by "mutating" and "recombining" them, selecting only the fittest to survive each generation.[78] +Distributed search processes can coordinate via swarm intelligence algorithms. Two popular swarm algorithms used in search are particle swarm optimization (inspired by bird flocking) and ant colony optimization (inspired by ant trails).[79] +Logic +Formal logic is used for reasoning and knowledge representation.[80] Formal logic comes in two main forms: propositional logic (which operates on statements that are true or false and uses logical connectives such as "and", "or", "not" and "implies")[81] and predicate logic (which also operates on objects, predicates and relations and uses quantifiers such as "Every X is a Y" and "There are some Xs that are Ys").[82] +Deductive reasoning in logic is the process of proving a new statement (conclusion) from other statements that are given and assumed to be true (the premises).[83] Proofs can be structured as proof trees, in which nodes are labelled by sentences, and children nodes are connected to parent nodes by inference rules. +Given a problem and a set of premises, problem-solving reduces to searching for a proof tree whose root node is labelled by a solution of the problem and whose leaf nodes are labelled by premises or axioms. In the case of Horn clauses, problem-solving search can be performed by reasoning forwards from the premises or backwards from the problem.[84] In the more general case of the clausal form of first-order logic, resolution is a single, axiom-free rule of inference, in which a problem is solved by proving a contradiction from premises that include the negation of the problem to be solved.[85] +Inference in both Horn clause logic and first-order logic is undecidable, and therefore intractable. However, backward reasoning with Horn clauses, which underpins computation in the logic programming language Prolog, is Turing complete. Moreover, its efficiency is competitive with computation in other symbolic programming languages.[86] +Fuzzy logic assigns a "degree of truth" between 0 and 1. It can therefore handle propositions that are vague and partially true.[87] +Non-monotonic logics, including logic programming with negation as failure, are designed to handle default reasoning.[31] Other specialized versions of logic have been developed to describe many complex domains. +Probabilistic methods for uncertain reasoning + +A simple Bayesian network, with the associated conditional probability tables +Many problems in AI (including in reasoning, planning, learning, perception, and robotics) require the agent to operate with incomplete or uncertain information. AI researchers have devised a number of tools to solve these problems using methods from probability theory and economics.[88] Precise mathematical tools have been developed that analyze how an agent can make choices and plan, using decision theory, decision analysis,[89] and information value theory.[90] These tools include models such as Markov decision processes,[91] dynamic decision networks,[92] game theory and mechanism design.[93] +Bayesian networks[94] are a tool that can be used for reasoning (using the Bayesian inference algorithm),[g][96] learning (using the expectation-maximization algorithm),[h][98] planning (using decision networks)[99] and perception (using dynamic Bayesian networks).[92] +Probabilistic algorithms can also be used for filtering, prediction, smoothing and finding explanations for streams of data, helping perception systems to analyze processes that occur over time (e.g., hidden Markov models or Kalman filters).[92] + +Expectation-maximization clustering of Old Faithful eruption data starts from a random guess but then successfully converges on an accurate clustering of the two physically distinct modes of eruption. +Classifiers and statistical learning methods +The simplest AI applications can be divided into two types: classifiers (e.g., "if shiny then diamond"), on one hand, and controllers (e.g., "if diamond then pick up"), on the other hand. Classifiers[100] are functions that use pattern matching to determine the closest match. They can be fine-tuned based on chosen examples using supervised learning. Each pattern (also called an "observation") is labeled with a certain predefined class. All the observations combined with their class labels are known as a data set. When a new observation is received, that observation is classified based on previous experience.[48] +There are many kinds of classifiers in use. The decision tree is the simplest and most widely used symbolic machine learning algorithm.[101] K-nearest neighbor algorithm was the most widely used analogical AI until the mid-1990s, and Kernel methods such as the support vector machine (SVM) displaced k-nearest neighbor in the 1990s.[102] The naive Bayes classifier is reportedly the "most widely used learner"[103] at Google, due in part to its scalability.[104] Neural networks are also used as classifiers.[105] +Artificial neural networks + +A neural network is an interconnected group of nodes, akin to the vast network of neurons in the human brain. +An artificial neural network is based on a collection of nodes also known as artificial neurons, which loosely model the neurons in a biological brain. It is trained to recognise patterns; once trained, it can recognise those patterns in fresh data. There is an input, at least one hidden layer of nodes and an output. Each node applies a function and once the weight crosses its specified threshold, the data is transmitted to the next layer. A network is typically called a deep neural network if it has at least 2 hidden layers.[105] +Learning algorithms for neural networks use local search to choose the weights that will get the right output for each input during training. The most common training technique is the backpropagation algorithm.[106] Neural networks learn to model complex relationships between inputs and outputs and find patterns in data. In theory, a neural network can learn any function.[107] +In feedforward neural networks the signal passes in only one direction.[108] Recurrent neural networks feed the output signal back into the input, which allows short-term memories of previous input events. Long short term memory is the most successful network architecture for recurrent networks.[109] Perceptrons[110] use only a single layer of neurons, deep learning[111] uses multiple layers. Convolutional neural networks strengthen the connection between neurons that are "close" to each other—this is especially important in image processing, where a local set of neurons must identify an "edge" before the network can identify an object.[112] +Deep learning + +Deep learning[111] uses several layers of neurons between the network's inputs and outputs. The multiple layers can progressively extract higher-level features from the raw input. For example, in image processing, lower layers may identify edges, while higher layers may identify the concepts relevant to a human such as digits or letters or faces.[113] +Deep learning has profoundly improved the performance of programs in many important subfields of artificial intelligence, including computer vision, speech recognition, natural language processing, image classification[114] and others. The reason that deep learning performs so well in so many applications is not known as of 2023.[115] The sudden success of deep learning in 2012–2015 did not occur because of some new discovery or theoretical breakthrough (deep neural networks and backpropagation had been described by many people, as far back as the 1950s)[i] but because of two factors: the incredible increase in computer power (including the hundred-fold increase in speed by switching to GPUs) and the availability of vast amounts of training data, especially the giant curated datasets used for benchmark testing, such as ImageNet.[j] +GPT +Generative pre-trained transformers (GPT) are large language models that are based on the semantic relationships between words in sentences (natural language processing). Text-based GPT models are pre-trained on a large corpus of text which can be from the internet. The pre-training consists in predicting the next token (a token being usually a word, subword, or punctuation). Throughout this pre-training, GPT models accumulate knowledge about the world, and can then generate human-like text by repeatedly predicting the next token. Typically, a subsequent training phase makes the model more truthful, useful and harmless, usually with a technique called reinforcement learning from human feedback (RLHF). Current GPT models are still prone to generating falsehoods called "hallucinations", although this can be reduced with RLHF and quality data. They are used in chatbots, which allow you to ask a question or request a task in simple text.[124][125] +Current models and services include: Gemini (formerly Bard), ChatGPT, Grok, Claude, Copilot and LLaMA.[126] Multimodal GPT models can process different types of data (modalities) such as images, videos, sound and text.[127] +Specialized hardware and software +Main articles: Programming languages for artificial intelligence and Hardware for artificial intelligence +In the late 2010s, graphics processing units (GPUs) that were increasingly designed with AI-specific enhancements and used with specialized TensorFlow software, had replaced previously used central processing unit (CPUs) as the dominant means for large-scale (commercial and academic) machine learning models' training.[128] Historically, specialized languages, such as Lisp, Prolog, Python and others, had been used. +Applications +Main article: Applications of artificial intelligence +AI and machine learning technology is used in most of the essential applications of the 2020s, including: search engines (such as Google Search), targeting online advertisements, recommendation systems (offered by Netflix, YouTube or Amazon), driving internet traffic, targeted advertising (AdSense, Facebook), virtual assistants (such as Siri or Alexa), autonomous vehicles (including drones, ADAS and self-driving cars), automatic language translation (Microsoft Translator, Google Translate), facial recognition (Apple's Face ID or Microsoft's DeepFace and Google's FaceNet) and image labeling (used by Facebook, Apple's iPhoto and TikTok). +Health and medicine +Main article: Artificial intelligence in healthcare +The application of AI in medicine and medical research has the potential to increase patient care and quality of life.[129] Through the lens of the Hippocratic Oath, medical professionals are ethically compelled to use AI, if applications can more accurately diagnose and treat patients. +For medical research, AI is an important tool for processing and integrating big data. This is particularly important for organoid and tissue engineering development which use microscopy imaging as a key technique in fabrication.[130] It has been suggested that AI can overcome discrepancies in funding allocated to different fields of research.[130] New AI tools can deepen our understanding of biomedically relevant pathways. For example, AlphaFold 2 (2021) demonstrated the ability to approximate, in hours rather than months, the 3D structure of a protein.[131] In 2023, it was reported that AI guided drug discovery helped find a class of antibiotics capable of killing two different types of drug-resistant bacteria.[132] +Games +Main article: Game artificial intelligence +Game playing programs have been used since the 1950s to demonstrate and test AI's most advanced techniques.[133] Deep Blue became the first computer chess-playing system to beat a reigning world chess champion, Garry Kasparov, on 11 May 1997.[134] In 2011, in a Jeopardy! quiz show exhibition match, IBM's question answering system, Watson, defeated the two greatest Jeopardy! champions, Brad Rutter and Ken Jennings, by a significant margin.[135] In March 2016, AlphaGo won 4 out of 5 games of Go in a match with Go champion Lee Sedol, becoming the first computer Go-playing system to beat a professional Go player without handicaps. Then in 2017 it defeated Ke Jie, who was the best Go player in the world.[136] Other programs handle imperfect-information games, such as the poker-playing program Pluribus.[137] DeepMind developed increasingly generalistic reinforcement learning models, such as with MuZero, which could be trained to play chess, Go, or Atari games.[138] In 2019, DeepMind's AlphaStar achieved grandmaster level in StarCraft II, a particularly challenging real-time strategy game that involves incomplete knowledge of what happens on the map.[139] In 2021 an AI agent competed in a PlayStation Gran Turismo competition, winning against four of the world's best Gran Turismo drivers using deep reinforcement learning.[140] +Military +Main article: Military artificial intelligence +Various countries are deploying AI military applications.[141] The main applications enhance command and control, communications, sensors, integration and interoperability.[142] Research is targeting intelligence collection and analysis, logistics, cyber operations, information operations, and semiautonomous and autonomous vehicles.[141] AI technologies enable coordination of sensors and effectors, threat detection and identification, marking of enemy positions, target acquisition, coordination and deconfliction of distributed Joint Fires between networked combat vehicles involving manned and unmanned teams.[142] AI was incorporated into military operations in Iraq and Syria.[141] +In November 2023, US Vice President Kamala Harris disclosed a declaration signed by 31 nations to set guardrails for the military use of AI. The commitments include using legal reviews to ensure the compliance of military AI with international laws, and being cautious and transparent in the development of this technology.[143] +Generative AI +Main article: Generative artificial intelligence + +Vincent van Gogh in watercolour created by generative AI software +In the early 2020s, generative AI gained widespread prominence. In March 2023, 58% of US adults had heard about ChatGPT and 14% had tried it.[144] The increasing realism and ease-of-use of AI-based text-to-image generators such as Midjourney, DALL-E, and Stable Diffusion sparked a trend of viral AI-generated photos. Widespread attention was gained by a fake photo of Pope Francis wearing a white puffer coat, the fictional arrest of Donald Trump, and a hoax of an attack on the Pentagon, as well as the usage in professional creative arts.[145][146] +Industry-specific tasks +There are also thousands of successful AI applications used to solve specific problems for specific industries or institutions. In a 2017 survey, one in five companies reported they had incorporated "AI" in some offerings or processes.[147] A few examples are energy storage, medical diagnosis, military logistics, applications that predict the result of judicial decisions, foreign policy, or supply chain management. +In agriculture, AI has helped farmers identify areas that need irrigation, fertilization, pesticide treatments or increasing yield. Agronomists use AI to conduct research and development. AI has been used to predict the ripening time for crops such as tomatoes, monitor soil moisture, operate agricultural robots, conduct predictive analytics, classify livestock pig call emotions, automate greenhouses, detect diseases and pests, and save water. +Artificial intelligence is used in astronomy to analyze increasing amounts of available data and applications, mainly for "classification, regression, clustering, forecasting, generation, discovery, and the development of new scientific insights" for example for discovering exoplanets, forecasting solar activity, and distinguishing between signals and instrumental effects in gravitational wave astronomy. It could also be used for activities in space such as space exploration, including analysis of data from space missions, real-time science decisions of spacecraft, space debris avoidance, and more autonomous operation. +Ethics +Main article: Ethics of artificial intelligence +AI has potential benefits and potential risks. AI may be able to advance science and find solutions for serious problems: Demis Hassabis of Deep Mind hopes to "solve intelligence, and then use that to solve everything else".[148] However, as the use of AI has become widespread, several unintended consequences and risks have been identified.[149] In-production systems can sometimes not factor ethics and bias into their AI training processes, especially when the AI algorithms are inherently unexplainable in deep learning.[150] +Risks and harm +Privacy and copyright +Further information: Information privacy and Artificial intelligence and copyright +Machine-learning algorithms require large amounts of data. The techniques used to acquire this data have raised concerns about privacy, surveillance and copyright. +Technology companies collect a wide range of data from their users, including online activity, geolocation data, video and audio.[151] For example, in order to build speech recognition algorithms, Amazon has recorded millions of private conversations and allowed temporary workers to listen to and transcribe some of them.[152] Opinions about this widespread surveillance range from those who see it as a necessary evil to those for whom it is clearly unethical and a violation of the right to privacy.[153] +AI developers argue that this is the only way to deliver valuable applications. and have developed several techniques that attempt to preserve privacy while still obtaining the data, such as data aggregation, de-identification and differential privacy.[154] Since 2016, some privacy experts, such as Cynthia Dwork, have begun to view privacy in terms of fairness. Brian Christian wrote that experts have pivoted "from the question of 'what they know' to the question of 'what they're doing with it'."[155] +Generative AI is often trained on unlicensed copyrighted works, including in domains such as images or computer code; the output is then used under the rationale of "fair use". Website owners who do not wish to have their copyrighted content AI-indexed or 'scraped' can add code to their site if they do not want their website to be indexed by a search engine, which is currently available through certain services such as OpenAI. Experts disagree about how well and under what circumstances this rationale will hold up in courts of law; relevant factors may include "the purpose and character of the use of the copyrighted work" and "the effect upon the potential market for the copyrighted work".[156] In 2023, leading authors (including John Grisham and Jonathan Franzen) sued AI companies for using their work to train generative AI.[157][158] +Misinformation +See also: YouTube § Moderation and offensive content +YouTube, Facebook and others use recommender systems to guide users to more content. These AI programs were given the goal of maximizing user engagement (that is, the only goal was to keep people watching). The AI learned that users tended to choose misinformation, conspiracy theories, and extreme partisan content, and, to keep them watching, the AI recommended more of it. Users also tended to watch more content on the same subject, so the AI led people into filter bubbles where they received multiple versions of the same misinformation.[159] This convinced many users that the misinformation was true, and ultimately undermined trust in institutions, the media and the government.[160] The AI program had correctly learned to maximize its goal, but the result was harmful to society. After the U.S. election in 2016, major technology companies took steps to mitigate the problem. +In 2022, generative AI began to create images, audio, video and text that are indistinguishable from real photographs, recordings, films or human writing. It is possible for bad actors to use this technology to create massive amounts of misinformation or propaganda.[161] AI pioneer Geoffrey Hinton expressed concern about AI enabling "authoritarian leaders to manipulate their electorates" on a large scale, among other risks.[162] +Algorithmic bias and fairness +Main articles: Algorithmic bias and Fairness (machine learning) +Machine learning applications will be biased if they learn from biased data.[163] The developers may not be aware that the bias exists.[164] Bias can be introduced by the way training data is selected and by the way a model is deployed.[165][163] If a biased algorithm is used to make decisions that can seriously harm people (as it can in medicine, finance, recruitment, housing or policing) then the algorithm may cause discrimination.[166] Fairness in machine learning is the study of how to prevent the harm caused by algorithmic bias. It has become serious area of academic study within AI. Researchers have discovered it is not always possible to define "fairness" in a way that satisfies all stakeholders.[167] +On June 28, 2015, Google Photos's new image labeling feature mistakenly identified Jacky Alcine and a friend as "gorillas" because they were black. The system was trained on a dataset that contained very few images of black people,[168] a problem called "sample size disparity".[169] Google "fixed" this problem by preventing the system from labelling anything as a "gorilla". Eight years later, in 2023, Google Photos still could not identify a gorilla, and neither could similar products from Apple, Facebook, Microsoft and Amazon.[170] +COMPAS is a commercial program widely used by U.S. courts to assess the likelihood of a defendant becoming a recidivist. In 2016, Julia Angwin at ProPublica discovered that COMPAS exhibited racial bias, despite the fact that the program was not told the races of the defendants. Although the error rate for both whites and blacks was calibrated equal at exactly 61%, the errors for each race were different—the system consistently overestimated the chance that a black person would re-offend and would underestimate the chance that a white person would not re-offend.[171] In 2017, several researchers[k] showed that it was mathematically impossible for COMPAS to accommodate all possible measures of fairness when the base rates of re-offense were different for whites and blacks in the data.[173] +A program can make biased decisions even if the data does not explicitly mention a problematic feature (such as "race" or "gender"). The feature will correlate with other features (like "address", "shopping history" or "first name"), and the program will make the same decisions based on these features as it would on "race" or "gender".[174] Moritz Hardt said "the most robust fact in this research area is that fairness through blindness doesn't work."[175] +Criticism of COMPAS highlighted that machine learning models are designed to make "predictions" that are only valid if we assume that the future will resemble the past. If they are trained on data that includes the results of racist decisions in the past, machine learning models must predict that racist decisions will be made in the future. If an application then uses these predictions as recommendations, some of these "recommendations" will likely be racist.[176] Thus, machine learning is not well suited to help make decisions in areas where there is hope that the future will be better than the past. It is necessarily descriptive and not proscriptive.[l] +Bias and unfairness may go undetected because the developers are overwhelmingly white and male: among AI engineers, about 4% are black and 20% are women.[169] +At its 2022 Conference on Fairness, Accountability, and Transparency (ACM FAccT 2022), the Association for Computing Machinery, in Seoul, South Korea, presented and published findings that recommend that until AI and robotics systems are demonstrated to be free of bias mistakes, they are unsafe, and the use of self-learning neural networks trained on vast, unregulated sources of flawed internet data should be curtailed.[178] +Lack of transparency +See also: Explainable AI, Algorithmic transparency, and Right to explanation + +Lidar testing vehicle for autonomous driving +Many AI systems are so complex that their designers cannot explain how they reach their decisions.[179] Particularly with deep neural networks, in which there are a large amount of non-linear relationships between inputs and outputs. But some popular explainability techniques exist.[180] +It is impossible to be certain that a program is operating correctly if no one knows how exactly it works. There have been many cases where a machine learning program passed rigorous tests, but nevertheless learned something different than what the programmers intended. For example, a system that could identify skin diseases better than medical professionals was found to actually have a strong tendency to classify images with a ruler as "cancerous", because pictures of malignancies typically include a ruler to show the scale.[181] Another machine learning system designed to help effectively allocate medical resources was found to classify patients with asthma as being at "low risk" of dying from pneumonia. Having asthma is actually a severe risk factor, but since the patients having asthma would usually get much more medical care, they were relatively unlikely to die according to the training data. The correlation between asthma and low risk of dying from pneumonia was real, but misleading.[182] +People who have been harmed by an algorithm's decision have a right to an explanation.[183] Doctors, for example, are expected to clearly and completely explain to their colleagues the reasoning behind any decision they make. Early drafts of the European Union's General Data Protection Regulation in 2016 included an explicit statement that this right exists.[m] Industry experts noted that this is an unsolved problem with no solution in sight. Regulators argued that nevertheless the harm is real: if the problem has no solution, the tools should not be used.[184] +DARPA established the XAI ("Explainable Artificial Intelligence") program in 2014 to try and solve these problems.[185] +There are several possible solutions to the transparency problem. SHAP tried to solve the transparency problems by visualising the contribution of each feature to the output.[186] LIME can locally approximate a model with a simpler, interpretable model.[187] Multitask learning provides a large number of outputs in addition to the target classification. These other outputs can help developers deduce what the network has learned.[188] Deconvolution, DeepDream and other generative methods can allow developers to see what different layers of a deep network have learned and produce output that can suggest what the network is learning.[189] +Bad actors and weaponized AI +Main articles: Lethal autonomous weapon, Artificial intelligence arms race, and AI safety +Artificial intelligence provides a number of tools that are useful to bad actors, such as authoritarian governments, terrorists, criminals or rogue states. +A lethal autonomous weapon is a machine that locates, selects and engages human targets without human supervision.[n] Widely available AI tools can be used by bad actors to develop inexpensive autonomous weapons and, if produced at scale, they are potentially weapons of mass destruction.[191] Even when used in conventional warfare, it is unlikely that they will be unable to reliably choose targets and could potentially kill an innocent person.[191] In 2014, 30 nations (including China) supported a ban on autonomous weapons under the United Nations' Convention on Certain Conventional Weapons, however the United States and others disagreed.[192] By 2015, over fifty countries were reported to be researching battlefield robots.[193] +AI tools make it easier for authoritarian governments to efficiently control their citizens in several ways. Face and voice recognition allow widespread surveillance. Machine learning, operating this data, can classify potential enemies of the state and prevent them from hiding. Recommendation systems can precisely target propaganda and misinformation for maximum effect. Deepfakes and generative AI aid in producing misinformation. Advanced AI can make authoritarian centralized decision making more competitive than liberal and decentralized systems such as markets. It lowers the cost and difficulty of digital warfare and advanced spyware.[194] All these technologies have been available since 2020 or earlier -- AI facial recognition systems are already being used for mass surveillance in China.[195][196] +There many other ways that AI is expected to help bad actors, some of which can not be foreseen. For example, machine-learning AI is able to design tens of thousands of toxic molecules in a matter of hours.[197] +Reliance on industry giants +Training AI systems requires an enormous amount of computing power. Usually only Big Tech companies have the financial resources to make such investments. Smaller startups such as Cohere and OpenAI end up buying access to data centers from Google and Microsoft respectively.[198] +Technological unemployment +Main articles: Workplace impact of artificial intelligence and Technological unemployment +Economists have frequently highlighted the risks of redundancies from AI, and speculated about unemployment if there is no adequate social policy for full employment.[199] +In the past, technology has tended to increase rather than reduce total employment, but economists acknowledge that "we're in uncharted territory" with AI.[200] A survey of economists showed disagreement about whether the increasing use of robots and AI will cause a substantial increase in long-term unemployment, but they generally agree that it could be a net benefit if productivity gains are redistributed.[201] Risk estimates vary; for example, in the 2010s, Michael Osborne and Carl Benedikt Frey estimated 47% of U.S. jobs are at "high risk" of potential automation, while an OECD report classified only 9% of U.S. jobs as "high risk".[o][203] The methodology of speculating about future employment levels has been criticised as lacking evidential foundation, and for implying that technology, rather than social policy, creates unemployment, as opposed to redundancies.[199] In April 2023, it was reported that 70% of the jobs for Chinese video game illustrators had been eliminated by generative artificial intelligence.[204][205] +Unlike previous waves of automation, many middle-class jobs may be eliminated by artificial intelligence; The Economist stated in 2015 that "the worry that AI could do to white-collar jobs what steam power did to blue-collar ones during the Industrial Revolution" is "worth taking seriously".[206] Jobs at extreme risk range from paralegals to fast food cooks, while job demand is likely to increase for care-related professions ranging from personal healthcare to the clergy.[207] +From the early days of the development of artificial intelligence, there have been arguments, for example, those put forward by Joseph Weizenbaum, about whether tasks that can be done by computers actually should be done by them, given the difference between computers and humans, and between quantitative calculation and qualitative, value-based judgement.[208] +Existential risk +Main article: Existential risk from artificial general intelligence +It has been argued AI will become so powerful that humanity may irreversibly lose control of it. This could, as physicist Stephen Hawking stated, "spell the end of the human race".[209] This scenario has been common in science fiction, when a computer or robot suddenly develops a human-like "self-awareness" (or "sentience" or "consciousness") and becomes a malevolent character.[p] These sci-fi scenarios are misleading in several ways. +First, AI does not require human-like "sentience" to be an existential risk. Modern AI programs are given specific goals and use learning and intelligence to achieve them. Philosopher Nick Bostrom argued that if one gives almost any goal to a sufficiently powerful AI, it may choose to destroy humanity to achieve it (he used the example of a paperclip factory manager).[211] Stuart Russell gives the example of household robot that tries to find a way to kill its owner to prevent it from being unplugged, reasoning that "you can't fetch the coffee if you're dead."[212] In order to be safe for humanity, a superintelligence would have to be genuinely aligned with humanity's morality and values so that it is "fundamentally on our side".[213] +Second, Yuval Noah Harari argues that AI does not require a robot body or physical control to pose an existential risk. The essential parts of civilization are not physical. Things like ideologies, law, government, money and the economy are made of language; they exist because there are stories that billions of people believe. The current prevalence of misinformation suggests that an AI could use language to convince people to believe anything, even to take actions that are destructive.[214] +The opinions amongst experts and industry insiders are mixed, with sizable fractions both concerned and unconcerned by risk from eventual superintelligent AI.[215] Personalities such as Stephen Hawking, Bill Gates, and Elon Musk have expressed concern about existential risk from AI.[216] AI pioneers including Fei-Fei Li, Geoffrey Hinton, Yoshua Bengio, Cynthia Breazeal, Rana el Kaliouby, Demis Hassabis, Joy Buolamwini, and Sam Altman have expressed concerns about the risks of AI. In 2023, many leading AI experts issued the joint statement that "Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war".[217] +Other researchers, however, spoke in favor of a less dystopian view. AI pioneer Juergen Schmidhuber did not sign the joint statement, emphasising that in 95% of all cases, AI research is about making "human lives longer and healthier and easier."[218] While the tools that are now being used to improve lives can also be used by bad actors, "they can also be used against the bad actors."[219][220] Andrew Ng also argued that "it's a mistake to fall for the doomsday hype on AI—and that regulators who do will only benefit vested interests."[221] Yann LeCun "scoffs at his peers' dystopian scenarios of supercharged misinformation and even, eventually, human extinction."[222] In the early 2010s, experts argued that the risks are too distant in the future to warrant research or that humans will be valuable from the perspective of a superintelligent machine.[223] However, after 2016, the study of current and future risks and possible solutions became a serious area of research.[224] +Ethical machines and alignment +Main articles: Machine ethics, AI safety, Friendly artificial intelligence, Artificial moral agents, and Human Compatible +Friendly AI are machines that have been designed from the beginning to minimize risks and to make choices that benefit humans. Eliezer Yudkowsky, who coined the term, argues that developing friendly AI should be a higher research priority: it may require a large investment and it must be completed before AI becomes an existential risk.[225] +Machines with intelligence have the potential to use their intelligence to make ethical decisions. The field of machine ethics provides machines with ethical principles and procedures for resolving ethical dilemmas.[226] The field of machine ethics is also called computational morality,[226] and was founded at an AAAI symposium in 2005.[227] +Other approaches include Wendell Wallach's "artificial moral agents"[228] and Stuart J. Russell's three principles for developing provably beneficial machines.[229] +Frameworks +Artificial Intelligence projects can have their ethical permissibility tested while designing, developing, and implementing an AI system. An AI framework such as the Care and Act Framework containing the SUM values—developed by the Alan Turing Institute tests projects in four main areas:[230][231] +RESPECT the dignity of individual people +CONNECT with other people sincerely, openly and inclusively +CARE for the wellbeing of everyone +PROTECT social values, justice and the public interest +Other developments in ethical frameworks include those decided upon during the Asilomar Conference, the Montreal Declaration for Responsible AI, and the IEEE's Ethics of Autonomous Systems initiative, among others;[232] however, these principles do not go without their criticisms, especially regards to the people chosen contributes to these frameworks.[233] +Promotion of the wellbeing of the people and communities that these technologies affect requires consideration of the social and ethical implications at all stages of AI system design, development and implementation, and collaboration between job roles such as data scientists, product managers, data engineers, domain experts, and delivery managers.[234] +Regulation +Main articles: Regulation of artificial intelligence, Regulation of algorithms, and AI safety + +The first global AI Safety Summit was held in 2023 with a declaration calling for international co-operation. +The regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI); it is therefore related to the broader regulation of algorithms.[235] The regulatory and policy landscape for AI is an emerging issue in jurisdictions globally.[236] According to AI Index at Stanford, the annual number of AI-related laws passed in the 127 survey countries jumped from one passed in 2016 to 37 passed in 2022 alone.[237][238] Between 2016 and 2020, more than 30 countries adopted dedicated strategies for AI.[239] Most EU member states had released national AI strategies, as had Canada, China, India, Japan, Mauritius, the Russian Federation, Saudi Arabia, United Arab Emirates, US and Vietnam. Others were in the process of elaborating their own AI strategy, including Bangladesh, Malaysia and Tunisia.[239] The Global Partnership on Artificial Intelligence was launched in June 2020, stating a need for AI to be developed in accordance with human rights and democratic values, to ensure public confidence and trust in the technology.[239] Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher published a joint statement in November 2021 calling for a government commission to regulate AI.[240] In 2023, OpenAI leaders published recommendations for the governance of superintelligence, which they believe may happen in less than 10 years.[241] In 2023, the United Nations also launched an advisory body to provide recommendations on AI governance; the body comprises technology company executives, governments officials and academics.[242] +In a 2022 Ipsos survey, attitudes towards AI varied greatly by country; 78% of Chinese citizens, but only 35% of Americans, agreed that "products and services using AI have more benefits than drawbacks".[237] A 2023 Reuters/Ipsos poll found that 61% of Americans agree, and 22% disagree, that AI poses risks to humanity.[243] In a 2023 Fox News poll, 35% of Americans thought it "very important", and an additional 41% thought it "somewhat important", for the federal government to regulate AI, versus 13% responding "not very important" and 8% responding "not at all important".[244][245] +In November 2023, the first global AI Safety Summit was held in Bletchley Park in the UK to discuss the near and far term risks of AI and the possibility of mandatory and voluntary regulatory frameworks.[246] 28 countries including the United States, China, and the European Union issued a declaration at the start of the summit, calling for international co-operation to manage the challenges and risks of artificial intelligence.[247][248] +History +Main article: History of artificial intelligence +For a chronological guide, see Timeline of artificial intelligence. +The study of mechanical or "formal" reasoning began with philosophers and mathematicians in antiquity. The study of logic led directly to Alan Turing's theory of computation, which suggested that a machine, by shuffling symbols as simple as "0" and "1", could simulate any conceivable form of mathematical reasoning.[249][5] This, along with concurrent discoveries in cybernetics, information theory and neurobiology, led researchers to consider the possibility of building an "electronic brain".[q] They developed several areas of research that would become part of AI,[251] such as McCullouch and Pitts design for "artificial neurons" in 1943,[252] and Turing's influential 1950 paper 'Computing Machinery and Intelligence', which introduced the Turing test and showed that "machine intelligence" was plausible.[253][5] +The field of AI research was founded at a workshop at Dartmouth College in 1956.[r][6] The attendees became the leaders of AI research in the 1960s.[s] They and their students produced programs that the press described as "astonishing":[t] computers were learning checkers strategies, solving word problems in algebra, proving logical theorems and speaking English.[u][7] Artificial intelligence laboratories were set up at a number of British and U.S. Universities in the latter 1950s and early 1960s.[5] +Researchers in the 1960s and the 1970s were convinced that their methods would eventually succeed in creating a machine with general intelligence and considered this the goal of their field.[257] Herbert Simon predicted, "machines will be capable, within twenty years, of doing any work a man can do".[258] Marvin Minsky agreed, writing, "within a generation ... the problem of creating 'artificial intelligence' will substantially be solved".[259] They had, however, underestimated the difficulty of the problem.[v] In 1974, both the U.S. and British governments cut off exploratory research in response to the criticism of Sir James Lighthill[261] and ongoing pressure from the U.S. Congress to fund more productive projects.[262] Minsky's and Papert's book Perceptrons was understood as proving that artificial neural networks would never be useful for solving real-world tasks, thus discrediting the approach altogether.[263] The "AI winter", a period when obtaining funding for AI projects was difficult, followed.[9] +In the early 1980s, AI research was revived by the commercial success of expert systems,[264] a form of AI program that simulated the knowledge and analytical skills of human experts. By 1985, the market for AI had reached over a billion dollars. At the same time, Japan's fifth generation computer project inspired the U.S. and British governments to restore funding for academic research.[8] However, beginning with the collapse of the Lisp Machine market in 1987, AI once again fell into disrepute, and a second, longer-lasting winter began.[10] +Up to this point, most of AI's funding had gone to projects which used high level symbols to represent mental objects like plans, goals, beliefs and known facts. In the 1980s, some researchers began to doubt that this approach would be able to imitate all the processes of human cognition, especially perception, robotics, learning and pattern recognition,[265] and began to look into "sub-symbolic" approaches.[266] Rodney Brooks rejected "representation" in general and focussed directly on engineering machines that move and survive.[w] Judea Pearl, Lofti Zadeh and others developed methods that handled incomplete and uncertain information by making reasonable guesses rather than precise logic.[88][271] But the most important development was the revival of "connectionism", including neural network research, by Geoffrey Hinton and others.[272] In 1990, Yann LeCun successfully showed that convolutional neural networks can recognize handwritten digits, the first of many successful applications of neural networks.[273] +AI gradually restored its reputation in the late 1990s and early 21st century by exploiting formal mathematical methods and by finding specific solutions to specific problems. This "narrow" and "formal" focus allowed researchers to produce verifiable results and collaborate with other fields (such as statistics, economics and mathematics).[274] By 2000, solutions developed by AI researchers were being widely used, although in the 1990s they were rarely described as "artificial intelligence".[275] However, several academic researchers became concerned that AI was no longer pursuing its original goal of creating versatile, fully intelligent machines. Beginning around 2002, they founded the subfield of artificial general intelligence (or "AGI"), which had several well-funded institutions by the 2010s.[14] +Deep learning began to dominate industry benchmarks in 2012 and was adopted throughout the field.[11] For many specific tasks, other methods were abandoned.[x] Deep learning's success was based on both hardware improvements (faster computers,[277] graphics processing units, cloud computing[278]) and access to large amounts of data[279] (including curated datasets,[278] such as ImageNet). Deep learning's success led to an enormous increase in interest and funding in AI.[y] The amount of machine learning research (measured by total publications) increased by 50% in the years 2015–2019.[239] +In 2016, issues of fairness and the misuse of technology were catapulted into center stage at machine learning conferences, publications vastly increased, funding became available, and many researchers re-focussed their careers on these issues. The alignment problem became a serious field of academic study.[224] +In the late teens and early 2020s, AGI companies began to deliver programs that created enormous interest. In 2015, AlphaGo, developed by DeepMind, beat the world champion Go player. The program was taught only the rules of the game and developed strategy by itself. GPT-3 is a large language model that was released in 2020 by OpenAI and is capable of generating high-quality human-like text.[280] These programs, and others, inspired an aggressive AI boom, where large companies began investing billions in AI research. According to 'AI Impacts', about $50 billion annually was invested in "AI" around 2022 in the U.S. alone and about 20% of new US Computer Science PhD graduates have specialized in "AI".[281] About 800,000 "AI"-related US job openings existed in 2022.[282] +Philosophy +Main article: Philosophy of artificial intelligence +Defining artificial intelligence +Main articles: Turing test, Intelligent agent, Dartmouth workshop, and Synthetic intelligence +Alan Turing wrote in 1950 "I propose to consider the question 'can machines think'?"[283] He advised changing the question from whether a machine "thinks", to "whether or not it is possible for machinery to show intelligent behaviour".[283] He devised the Turing test, which measures the ability of a machine to simulate human conversation.[253] Since we can only observe the behavior of the machine, it does not matter if it is "actually" thinking or literally has a "mind". Turing notes that we can not determine these things about other people but "it is usual to have a polite convention that everyone thinks"[284] +Russell and Norvig agree with Turing that intelligence must be defined in terms of external behavior, not internal structure.[1] However, they are critical that the test requires the machine to imitate humans. "Aeronautical engineering texts," they wrote, "do not define the goal of their field as making 'machines that fly so exactly like pigeons that they can fool other pigeons.'"[285] AI founder John McCarthy agreed, writing that "Artificial intelligence is not, by definition, simulation of human intelligence".[286] +McCarthy defines intelligence as "the computational part of the ability to achieve goals in the world."[287] Another AI founder, Marvin Minsky similarly describes it as "the ability to solve hard problems".[288] The leading AI textbook defines it as the study of agents that perceive their environment and take actions that maximize their chances of achieving defined goals.[289] These definitions view intelligence in terms of well-defined problems with well-defined solutions, where both the difficulty of the problem and the performance of the program are direct measures of the "intelligence" of the machine—and no other philosophical discussion is required, or may not even be possible. +Another definition has been adopted by Google,[290] a major practitioner in the field of AI. This definition stipulates the ability of systems to synthesize information as the manifestation of intelligence, similar to the way it is defined in biological intelligence. +Evaluating approaches to AI +No established unifying theory or paradigm has guided AI research for most of its history.[z] The unprecedented success of statistical machine learning in the 2010s eclipsed all other approaches (so much so that some sources, especially in the business world, use the term "artificial intelligence" to mean "machine learning with neural networks"). This approach is mostly sub-symbolic, soft and narrow (see below). Critics argue that these questions may have to be revisited by future generations of AI researchers. +Symbolic AI and its limits +Symbolic AI (or "GOFAI")[292] simulated the high-level conscious reasoning that people use when they solve puzzles, express legal reasoning and do mathematics. They were highly successful at "intelligent" tasks such as algebra or IQ tests. In the 1960s, Newell and Simon proposed the physical symbol systems hypothesis: "A physical symbol system has the necessary and sufficient means of general intelligent action."[293] +However, the symbolic approach failed on many tasks that humans solve easily, such as learning, recognizing an object or commonsense reasoning. Moravec's paradox is the discovery that high-level "intelligent" tasks were easy for AI, but low level "instinctive" tasks were extremely difficult.[294] Philosopher Hubert Dreyfus had argued since the 1960s that human expertise depends on unconscious instinct rather than conscious symbol manipulation, and on having a "feel" for the situation, rather than explicit symbolic knowledge.[295] Although his arguments had been ridiculed and ignored when they were first presented, eventually, AI research came to agree with him.[aa][19] +The issue is not resolved: sub-symbolic reasoning can make many of the same inscrutable mistakes that human intuition does, such as algorithmic bias. Critics such as Noam Chomsky argue continuing research into symbolic AI will still be necessary to attain general intelligence,[297][298] in part because sub-symbolic AI is a move away from explainable AI: it can be difficult or impossible to understand why a modern statistical AI program made a particular decision. The emerging field of neuro-symbolic artificial intelligence attempts to bridge the two approaches. +Neat vs. scruffy +Main article: Neats and scruffies +"Neats" hope that intelligent behavior is described using simple, elegant principles (such as logic, optimization, or neural networks). "Scruffies" expect that it necessarily requires solving a large number of unrelated problems. Neats defend their programs with theoretical rigor, scruffies rely mainly on incremental testing to see if they work. This issue was actively discussed in the 1970s and 1980s,[299] but eventually was seen as irrelevant. Modern AI has elements of both. +Soft vs. hard computing +Main article: Soft computing +Finding a provably correct or optimal solution is intractable for many important problems.[18] Soft computing is a set of techniques, including genetic algorithms, fuzzy logic and neural networks, that are tolerant of imprecision, uncertainty, partial truth and approximation. Soft computing was introduced in the late 1980s and most successful AI programs in the 21st century are examples of soft computing with neural networks. +Narrow vs. general AI +Main articles: Weak artificial intelligence and Artificial general intelligence +AI researchers are divided as to whether to pursue the goals of artificial general intelligence and superintelligence directly or to solve as many specific problems as possible (narrow AI) in hopes these solutions will lead indirectly to the field's long-term goals.[300][301] General intelligence is difficult to define and difficult to measure, and modern AI has had more verifiable successes by focusing on specific problems with specific solutions. The experimental sub-field of artificial general intelligence studies this area exclusively. +Machine consciousness, sentience and mind +Main articles: Philosophy of artificial intelligence and Artificial consciousness +The philosophy of mind does not know whether a machine can have a mind, consciousness and mental states, in the same sense that human beings do. This issue considers the internal experiences of the machine, rather than its external behavior. Mainstream AI research considers this issue irrelevant because it does not affect the goals of the field: to build machines that can solve problems using intelligence. Russell and Norvig add that "[t]he additional project of making a machine conscious in exactly the way humans are is not one that we are equipped to take on."[302] However, the question has become central to the philosophy of mind. It is also typically the central question at issue in artificial intelligence in fiction. +Consciousness +Main articles: Hard problem of consciousness and Theory of mind +David Chalmers identified two problems in understanding the mind, which he named the "hard" and "easy" problems of consciousness.[303] The easy problem is understanding how the brain processes signals, makes plans and controls behavior. The hard problem is explaining how this feels or why it should feel like anything at all, assuming we are right in thinking that it truly does feel like something (Dennett's consciousness illusionism says this is an illusion). Human information processing is easy to explain, however, human subjective experience is difficult to explain. For example, it is easy to imagine a color-blind person who has learned to identify which objects in their field of view are red, but it is not clear what would be required for the person to know what red looks like.[304] +Computationalism and functionalism +Main articles: Computational theory of mind, Functionalism (philosophy of mind), and Chinese room +Computationalism is the position in the philosophy of mind that the human mind is an information processing system and that thinking is a form of computing. Computationalism argues that the relationship between mind and body is similar or identical to the relationship between software and hardware and thus may be a solution to the mind–body problem. This philosophical position was inspired by the work of AI researchers and cognitive scientists in the 1960s and was originally proposed by philosophers Jerry Fodor and Hilary Putnam.[305] +Philosopher John Searle characterized this position as "strong AI": "The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."[ab] Searle counters this assertion with his Chinese room argument, which attempts to show that, even if a machine perfectly simulates human behavior, there is still no reason to suppose it also has a mind.[309] +AI welfare and rights +It is difficult or impossible to reliably evaluate whether an advanced AI is sentient (has the ability to feel), and if so, to what degree.[310] But if there is a significant chance that a given machine can feel and suffer, then it may be entitled to certain rights or welfare protection measures, similarly to animals.[311][312] Sapience (a set of capacities related to high intelligence, such as discernment or self-awareness) may provide another moral basis for AI rights.[311] Robot rights are also sometimes proposed as a practical way to integrate autonomous agents into society.[313] +In 2017, the European Union considered granting "electronic personhood" to some of the most capable AI systems. Similarly to the legal status of companies, it would have conferred rights but also responsibilities.[314] Critics argued in 2018 that granting rights to AI systems would downplay the importance of human rights, and that legislation should focus on user needs rather than speculative futuristic scenarios. They also noted that robots lacked the autonomy to take part to society on their own.[315][316] +Progress in AI increased interest in the topic. Proponents of AI welfare and rights often argue that AI sentience, if it emerges, would be particularly easy to deny. They warn that this may be a moral blind spot analogous to slavery or factory farming, which could lead to large-scale suffering if sentient AI is created and carelessly exploited.[312][311] +Future +Superintelligence and the singularity +A superintelligence is a hypothetical agent that would possess intelligence far surpassing that of the brightest and most gifted human mind.[301] +If research into artificial general intelligence produced sufficiently intelligent software, it might be able to reprogram and improve itself. The improved software would be even better at improving itself, leading to what I. J. Good called an "intelligence explosion" and Vernor Vinge called a "singularity".[317] +However, technologies cannot improve exponentially indefinitely, and typically follow an S-shaped curve, slowing when they reach the physical limits of what the technology can do.[318] +Transhumanism +Robot designer Hans Moravec, cyberneticist Kevin Warwick, and inventor Ray Kurzweil have predicted that humans and machines will merge in the future into cyborgs that are more capable and powerful than either. This idea, called transhumanism, has roots in Aldous Huxley and Robert Ettinger.[319] +Edward Fredkin argues that "artificial intelligence is the next stage in evolution", an idea first proposed by Samuel Butler's "Darwin among the Machines" as far back as 1863, and expanded upon by George Dyson in his book of the same name in 1998.[320] +In fiction +Main article: Artificial intelligence in fiction + +The word "robot" itself was coined by Karel Čapek in his 1921 play R.U.R., the title standing for "Rossum's Universal Robots". +Thought-capable artificial beings have appeared as storytelling devices since antiquity,[321] and have been a persistent theme in science fiction.[322] +A common trope in these works began with Mary Shelley's Frankenstein, where a human creation becomes a threat to its masters. This includes such works as Arthur C. Clarke's and Stanley Kubrick's 2001: A Space Odyssey (both 1968), with HAL 9000, the murderous computer in charge of the Discovery One spaceship, as well as The Terminator (1984) and The Matrix (1999). In contrast, the rare loyal robots such as Gort from The Day the Earth Stood Still (1951) and Bishop from Aliens (1986) are less prominent in popular culture.[323] +Isaac Asimov introduced the Three Laws of Robotics in many books and stories, most notably the "Multivac" series about a super-intelligent computer of the same name. Asimov's laws are often brought up during lay discussions of machine ethics;[324] while almost all artificial intelligence researchers are familiar with Asimov's laws through popular culture, they generally consider the laws useless for many reasons, one of which is their ambiguity.[325] +Several works use AI to force us to confront the fundamental question of what makes us human, showing us artificial beings that have the ability to feel, and thus to suffer. This appears in Karel Čapek's R.U.R., the films A.I. Artificial Intelligence and Ex Machina, as well as the novel Do Androids Dream of Electric Sheep?, by Philip K. Dick. Dick considers the idea that our understanding of human subjectivity is altered by technology created with artificial intelligence. + diff --git a/examples/data/united_states_wikipedia.txt b/examples/data/united_states_wikipedia.txt deleted file mode 100644 index fab4ac3..0000000 --- a/examples/data/united_states_wikipedia.txt +++ /dev/null @@ -1,377 +0,0 @@ -The United States of America (USA or U.S.A.), commonly known as the United States (US or U.S.) or America, is a country primarily located in North America, between Canada and Mexico. It is a federation of 50 states, a federal capital district (Washington, D.C.), and 326 Indian reservations. Outside the union of states, it asserts sovereignty over five major unincorporated island territories and various uninhabited islands.[j] The country has the world's third-largest land area,[d] largest maritime exclusive economic zone, and the third-largest population, exceeding 334 million.[k] - -Paleo-Indians migrated across the Bering land bridge more than 12,000 years ago. British colonization led to the first settlement of the Thirteen Colonies in Virginia in 1607. Clashes with the British Crown over taxation and political representation sparked the American Revolution, with the Second Continental Congress formally declaring independence on July 4, 1776. Following its victory in the Revolutionary War (1775–1783), the country continued to expand across North America. As more states were admitted, sectional division over slavery led to the secession of the Confederate States of America, which fought the remaining states of the Union during the 1861–1865 American Civil War. With the Union's victory and preservation, slavery was abolished nationally. By 1900, the United States had become the world's largest economy and established itself as a great power. After Japan's attack on Pearl Harbor in December 1941, the U.S. entered World War II. The aftermath of the war left the U.S. and the Soviet Union as the world's two superpowers and led to the Cold War, during which both countries engaged in a struggle for ideological dominance and international influence. Following the Soviet Union's collapse and the end of the Cold War in 1991, the U.S. emerged as the world's sole superpower. - -The U.S. national government is a presidential constitutional republic and liberal democracy with three separate branches: legislative, executive, and judicial. It has a bicameral national legislature composed of the House of Representatives, a lower house based on population; and the Senate, an upper house based on equal representation for each state. Substantial autonomy is given to states and several territories, with a political culture that emphasizes liberty, equality under the law, individualism, and limited government. - -One of the most developed countries, the United States has had the largest nominal GDP in the world since 1890 and accounted for over 25% of the global economy (15% based on PPP) in 2023. It possesses by far the largest amount of wealth of any country and the highest median income per capita of any non-microstate. The U.S. ranks among the world's highest in economic competitiveness, productivity, innovation, human rights, and higher education. Its hard power and cultural influence have a global reach. The U.S. is a founding member of the World Bank, IMF, Organization of American States, NATO, Quad, World Health Organization, and a permanent member of the UN Security Council. - -Etymology -Further information: Names of the United States and Demonyms for the United States -The first documentary evidence of the phrase "United States of America" dates back to a letter from January 2, 1776, written by Stephen Moylan, a Continental Army aide to General George Washington, to Joseph Reed, Washington's aide-de-camp. Moylan expressed his desire to go "with full and ample powers from the United States of America to Spain" to seek assistance in the Revolutionary War effort.[20][21] The first known publication of the phrase "United States of America" was in an anonymous essay in The Virginia Gazette newspaper in Williamsburg, on April 6, 1776.[22] - -By June 1776, the name "United States of America" appeared in drafts of the Articles of Confederation and Perpetual Union, authored by John Dickinson, a Founding Father from the Province of Pennsylvania,[23][24] and in the Declaration of Independence, written primarily by Thomas Jefferson and adopted by the Second Continental Congress in Philadelphia, on July 4, 1776.[23][25] - -History -Main article: History of the United States -For a topical guide, see Outline of United States history. -Indigenous peoples -Further information: Native Americans in the United States and Pre-Columbian era - -Cliff Palace, built by Ancestral Puebloans in present-day Montezuma County, Colorado, between c. 1200 and 1275[26] -The first inhabitants of North America migrated from Siberia across the Bering land bridge at least 12,000 years ago;[27][28] the Clovis culture, which appeared around 11,000 BC, is believed to be the first widespread culture in the Americas.[29][30] Over time, indigenous North American cultures grew increasingly sophisticated, and some, such as the Mississippian culture, developed agriculture, architecture, and complex societies.[31] Indigenous peoples and cultures such as the Algonquian peoples,[32] Ancestral Puebloans,[33] and the Iroquois developed across the present-day United States.[34] Native population estimates of what is now the United States before the arrival of European immigrants range from around 500,000[35][36] to nearly 10 million.[36][37] - -European colonization -Main article: Colonial history of the United States -See also: European colonization of the Americas - -The 1750 colonial possessions of Britain (in pink and purple), France (in blue), and Spain (in orange) in present-day Canada and the United States -Christopher Columbus began exploring the Caribbean in 1492, leading to Spanish settlements in present-day Puerto Rico, Florida, and New Mexico.[38][39][40] France established its own settlements along the Mississippi River and Gulf of Mexico.[41] British colonization of the East Coast began with the Virginia Colony (1607) and Plymouth Colony (1620).[42][43] The Mayflower Compact and the Fundamental Orders of Connecticut established precedents for representative self-governance and constitutionalism that would develop throughout the American colonies.[44][45] While European settlers in what is now the United States experienced conflicts with Native Americans, they also engaged in trade, exchanging European tools for food and animal pelts.[46][l] Relations ranged from close cooperation to warfare and massacres. The colonial authorities often pursued policies that forced Native Americans to adopt European lifestyles, including conversion to Christianity.[50][51] Along the eastern seaboard, settlers trafficked African slaves through the Atlantic slave trade.[52] - -The original Thirteen Colonies[m] that would later found the United States were administered by Great Britain,[53] and had local governments with elections open to most white male property owners.[54][55] The colonial population grew rapidly, eclipsing Native American populations;[56] by the 1770s, the natural increase of the population was such that only a small minority of Americans had been born overseas.[57] The colonies' distance from Britain allowed for the development of self-governance,[58] and the First Great Awakening—a series of Christian revivals—fueled colonial interest in religious liberty.[59] - -Revolution and expansion (1776–1861) -Further information: History of the United States (1776–1789), History of the United States (1789–1815), and History of the United States (1815–1849) -See caption -Declaration of Independence, a portrait by John Trumbull depicting the Committee of Five presenting the draft of the Declaration to the Continental Congress on June 28, 1776, in Philadelphia -After winning the French and Indian War, Britain began to assert greater control over local colonial affairs, creating colonial political resistance; one of the primary colonial grievances was a denial of their rights as Englishmen, particularly the right to representation in the British government that taxed them. In 1774, the First Continental Congress met in Philadelphia, and passed a colonial boycott of British goods that proved effective. The British attempt to then disarm the colonists resulted in the 1775 Battles of Lexington and Concord, igniting the American Revolutionary War. At the Second Continental Congress, the colonies appointed George Washington commander-in-chief of the Continental Army and created a committee led by Thomas Jefferson to write the Declaration of Independence, adopted on July 4, 1776.[60] The political values of the American Revolution included liberty, inalienable individual rights; and the sovereignty of the people;[61] supporting republicanism and rejecting monarchy, aristocracy, and hereditary political power; virtue and faithfulness in the performance of civic duties; and vilification of corruption.[62] The Founding Fathers of the United States, which included George Washington, Benjamin Franklin, Alexander Hamilton, Thomas Jefferson, John Jay, James Madison, Thomas Paine, and John Adams, took inspiration from Ancient Greco-Roman, Renaissance, and Age of Enlightenment philosophies and ideas.[63][64] - -After the British surrender at the siege of Yorktown in 1781, American sovereignty was internationally recognized by the Treaty of Paris (1783), through which the U.S. gained territory stretching west to the Mississippi River, north to present-day Canada, and south to Spanish Florida.[65] Ratified in 1781, the Articles of Confederation established a decentralized government that operated until 1789.[60] The Northwest Ordinance (1787) established the precedent by which the country's territory would expand with the admission of new states, rather than the expansion of existing states.[66] The U.S. Constitution was drafted at the 1787 Constitutional Convention to overcome the limitations of the Articles; it went into effect in 1789, creating a federation administered by three branches on the principle of checks and balances.[67] Washington was elected the country's first president under the Constitution, and the Bill of Rights was adopted in 1791 to allay concerns by skeptics of the more centralized government;[68][69] his resignations first as commander-in-chief after the Revolution and later as president set a precedent followed by John Adams, establishing the peaceful transfer of power between rival parties.[70][71] - - -Animation showing the free/slave status of U.S. states and territories expansion, 1789–1861 -In the late 18th century, American settlers began to expand westward, some with a sense of manifest destiny.[72] The Louisiana Purchase (1803) from France nearly doubled the territory of the United States.[73] Lingering issues with Britain remained, leading to the War of 1812, which was fought to a draw.[74] Spain ceded Florida and its Gulf Coast territory in 1819.[75] The Missouri Compromise attempted to balance desires of northern states to prevent expansion of slavery in the country with those of southern states to expand it, admitting Missouri as a slave state and Maine as a free state and declared a policy of prohibiting slavery in the remaining Louisiana Purchase lands north of the 36°30′ parallel.[76] As Americans expanded further into land inhabited by Native Americans, the federal government often applied policies of Indian removal or assimilation.[77][78] The infamous Trail of Tears (1830–1850) was a U.S. government policy that forcibly removed and displaced most Native Americans living east of the Mississippi River to lands far to the west. These and earlier organized displacements prompted a long series of American Indian Wars west of the Mississippi.[79][80] The Republic of Texas was annexed in 1845,[81] and the 1846 Oregon Treaty led to U.S. control of the present-day American Northwest.[82] Victory in the Mexican–American War resulted in the 1848 Mexican Cession of California and much of the present-day American Southwest.[72][83] The California Gold Rush of 1848–1849 spurred a huge migration of white settlers to the Pacific coast, leading to even more confrontations with Native populations. One of the most violent, the California genocide of thousands of Native inhabitants, lasted into the early 1870s,[84][85] just as additional western territories and states were created.[86] - -Civil War (1861–1865) -Main articles: History of the United States (1849–1865) and American Civil War - -Division of the states during the American Civil War: - Union states - Border states - Confederate states - Territories -During the colonial period, slavery was legal in the American colonies, though the practice began to be significantly questioned during the American Revolution.[87] States in The North enacted abolition laws,[88] though support for slavery strengthened in Southern states, as inventions such as the cotton gin made the institution increasingly profitable for Southern elites.[89][90][91] This sectional conflict regarding slavery culminated in the American Civil War (1861–1865).[92][93] - -Eleven slave states seceded and formed the Confederate States of America, while the other states remained in the Union.[94] War broke out in April 1861 after the Confederacy bombarded Fort Sumter.[95] After the January 1863 Emancipation Proclamation, many freed slaves joined the Union Army.[96] The war began to turn in the Union's favor following the 1863 Siege of Vicksburg and Battle of Gettysburg, and the Confederacy surrendered in 1865 after the Union's victory in the Battle of Appomattox Court House.[97] - -The Reconstruction era followed the war. After the assassination of President Abraham Lincoln, Reconstruction Amendments were passed to protect the rights of African Americans. National infrastructure, including transcontinental telegraph and railroads, spurred growth in the American frontier.[98] - -Post-Civil War era (1865–1898) -Main article: History of the United States (1865–1917) -Duration: 2 minutes and 27 seconds.2:27 -An Edison Studios film showing immigrants arriving at Ellis Island in New York Harbor, a major point of entry for European immigrants in the late 19th and early 20th centuries[99][100] -From 1865 through 1917 an unprecedented stream of immigrants arrived in the United States, including 24.4 million from Europe.[101] Most came through the port of New York City, and New York City and other large cities on the East Coast became home to large Jewish, Irish, and Italian populations, while many Germans and Central Europeans moved to the Midwest. At the same time, about one million French Canadians migrated from Quebec to New England.[102] During the Great Migration, millions of African Americans left the rural South for urban areas in the North.[103] Alaska was purchased from Russia in 1867.[104] - -The Compromise of 1877 effectively ended Reconstruction and white supremacists took local control of Southern politics.[105][106] African Americans endured a period of heightened, overt racism following Reconstruction, a time often called the nadir of American race relations.[107][108] A series of Supreme Court decisions, including Plessy v. Ferguson, emptied the Fourteenth and Fifteenth Amendments of their force, allowing Jim Crow laws in the South to remain unchecked, sundown towns in the Midwest, and segregation in cities across the country, which would be reinforced by the policy of redlining later adopted by the federal Home Owners' Loan Corporation.[109] - -An explosion of technological advancement accompanied by the exploitation of cheap immigrant labor[110] led to rapid economic development during the late 19th and early 20th centuries, allowing the United States to outpace England, France, and Germany combined.[111][112] This fostered the amassing of power by a few prominent industrialists, largely by their formation of trusts and monopolies to prevent competition.[113] Tycoons led the nation's expansion in the railroad, petroleum, and steel industries. The United States emerged as a pioneer of the automotive industry.[114] These changes were accompanied by significant increases in economic inequality, slum conditions, and social unrest, creating the environment for labor unions to begin to flourish.[115][116][117] This period eventually ended with the advent of the Progressive Era, which was characterized by significant reforms.[118][119] - -Rise as a superpower (1898–1945) -Main article: History of the United States (1917–1945) - -The Trinity nuclear test in 1945, part of the Manhattan Project and the first detonation of a nuclear weapon. The World Wars permanently ended the country's policy of isolationism and left it as a world superpower. -Pro-American elements in Hawaii overthrew the Hawaiian monarchy; the islands were annexed in 1898. Puerto Rico, Guam, and the Philippines were ceded by Spain following the Spanish–American War.[120] American Samoa was acquired by the United States in 1900 after the Second Samoan Civil War.[121] The U.S. Virgin Islands were purchased from Denmark in 1917.[122] The United States entered World War I alongside the Allies of World War I, helping to turn the tide against the Central Powers.[123] In 1920, a constitutional amendment granted nationwide women's suffrage.[124] During the 1920s and 30s, radio for mass communication and the invention of early television transformed communications nationwide.[125] The Wall Street Crash of 1929 triggered the Great Depression, which President Franklin D. Roosevelt responded to with New Deal social and economic policies.[126][127] - -At first neutral during World War II, the U.S. began supplying war materiel to the Allies of World War II in March 1941 and entered the war in December after the Empire of Japan's attack on Pearl Harbor.[128][129] The U.S. developed the first nuclear weapons and used them against the Japanese cities of Hiroshima and Nagasaki in August 1945, ending the war.[130][131] The United States was one of the "Four Policemen" who met to plan the postwar world, alongside the United Kingdom, Soviet Union, and China.[132][133] The U.S. emerged relatively unscathed from the war, with even greater economic and international political influence.[134] - -Cold War (1945–1991) -Main articles: History of the United States (1945–1964), History of the United States (1964–1980), and History of the United States (1980–1991) - -Mikhail Gorbachev and Ronald Reagan sign the Intermediate-Range Nuclear Forces Treaty at the White House, 1987. -After World War II, the United States entered the Cold War, where geopolitical tensions between the U.S. and the Soviet Union led the two countries to dominate world affairs.[135] The U.S. engaged in regime change against governments perceived to be aligned with the Soviet Union, and competed in the Space Race, culminating in the first crewed Moon landing in 1969.[136][137][138][139] - -Domestically, the U.S. experienced economic growth, urbanization, and population growth following World War II.[140] The civil rights movement emerged, with Martin Luther King Jr. becoming a prominent leader in the early 1960s.[141] The Great Society plan of President Lyndon Johnson's administration resulted in groundbreaking and broad-reaching laws, policies and a constitutional amendment to counteract some of the worst effects of lingering institutional racism.[142] The counterculture movement in the U.S. brought significant social changes, including the liberalization of attitudes toward recreational drug use and sexuality. It also encouraged open defiance of the military draft (leading to the end of conscription in 1973) and wide opposition to U.S. intervention in Vietnam (with the U.S. totally withdrawing in 1975).[143][144][145] The societal shift in the roles of women partly resulted in large increases in female labor participation in the 1970s, and by 1985 the majority of women aged 16 and older were employed.[146] The late 1980s and early 1990s saw the collapse of the Warsaw Pact and the dissolution of the Soviet Union, which marked the end of the Cold War and solidified the U.S. as the world's sole superpower.[147][148][149][150] - -Contemporary (1991–present) -Main articles: History of the United States (1991–2008) and History of the United States (2008–present) - -The Twin Towers in New York City during the September 11 attacks of 2001 -The 1990s saw the longest recorded economic expansion in American history, a dramatic decline in crime, and advances in technology, with the World Wide Web, the evolution of the Pentium microprocessor in accordance with Moore's law, rechargeable lithium-ion batteries, the first gene therapy trial, and cloning all emerging and being improved upon throughout the decade. The Human Genome Project was formally launched in 1990, while Nasdaq became the first stock market in the United States to trade online in 1998.[151] In 1991, an American-led international coalition of states expelled an Iraqi invasion force from Kuwait in the Gulf War.[152] - -The September 11, 2001 attacks by the pan-Islamist militant organization Al-Qaeda led to the war on terror and subsequent military interventions in Afghanistan and Iraq.[153][154] The cultural impact of the attacks was profound and long-lasting. - -The U.S. housing bubble culminated in 2007 with the Great Recession, the largest economic contraction since the Great Depression.[155] Coming to a head in the 2010s, political polarization increased as sociopolitical debates on cultural issues dominated politics.[156] This polarization was capitalized upon in the January 2021 Capitol attack,[157] when a mob of protesters entered the U.S. Capitol building and attempted to prevent the peaceful transfer of power.[158] - -Geography -Main articles: Geography of the United States and Borders of the United States - -A topographic map of the United States -The United States is the world's third-largest country by land and total area behind Russia and Canada.[d][159][160] The 48 contiguous states and the District of Columbia occupy a combined area of 3,119,885 square miles (8,080,470 km2).[161][162] The coastal plain of the Atlantic seaboard gives way to inland forests and rolling hills in the Piedmont plateau region.[163] - -The Appalachian Mountains and the Adirondack massif separate the East Coast from the Great Lakes and the grasslands of the Midwest.[164] The Mississippi River System—the world's fourth longest river system—runs mainly north–south through the heart of the country. The flat, fertile prairie of the Great Plains stretches to the west, interrupted by a highland region in the southeast.[164] - -The Rocky Mountains, west of the Great Plains, extend north to south across the country, peaking at over 14,000 feet (4,300 m) in Colorado.[165] Farther west are the rocky Great Basin and Chihuahua, Sonoran, and Mojave deserts.[166] The Sierra Nevada and Cascade mountain ranges run close to the Pacific coast. The lowest and highest points in the contiguous United States are in the state of California,[167] about 84 miles (135 km) apart.[168] At an elevation of 20,310 feet (6,190.5 m), Alaska's Denali is the highest peak in the country and continent.[169] Active volcanoes are common throughout Alaska's Alexander and Aleutian Islands, and Hawaii consists of volcanic islands. The supervolcano underlying Yellowstone National Park in the Rockies is the continent's largest volcanic feature.[170] In 2021, the United States had 8% of global permanent meadows and pastures and 10% of cropland.[171] - -Climate -Main articles: Climate of the United States and Climate change in the United States - -The Köppen climate types of the United States -With its large size and geographic variety, the United States includes most climate types. East of the 100th meridian, the climate ranges from humid continental in the north to humid subtropical in the south.[172] The western Great Plains are semi-arid. Many mountainous areas of the American West have an alpine climate. The climate is arid in the Southwest, Mediterranean in coastal California, and oceanic in coastal Oregon, Washington, and southern Alaska. Most of Alaska is subarctic or polar. Hawaii and the southern tip of Florida are tropical, as well as its territories in the Caribbean and the Pacific.[173] - -States bordering the Gulf of Mexico are prone to hurricanes, and most of the world's tornadoes occur in the country, mainly in Tornado Alley.[174] Overall, the United States receives more high-impact extreme weather incidents than any other country.[175] Extreme weather became more frequent in the U.S. in the 21st century, with three times the number of reported heat waves as in the 1960s. In the American Southwest, droughts became more persistent and more severe.[176] - -Biodiversity and conservation -Main articles: Fauna of the United States and Flora of the United States - -A bald eagle -The bald eagle, the national bird of the United States since 1782[177] -The U.S. is one of 17 megadiverse countries containing large numbers of endemic species: about 17,000 species of vascular plants occur in the contiguous United States and Alaska, and over 1,800 species of flowering plants are found in Hawaii, few of which occur on the mainland.[178] The United States is home to 428 mammal species, 784 birds, 311 reptiles, 295 amphibians,[179] and 91,000 insect species.[180] - -There are 63 national parks, and hundreds of other federally managed parks, forests, and wilderness areas, managed by the National Park Service and other agencies.[181] About 28% of the country's land is publicly owned and federally managed,[182] primarily in the western states.[183] Most of this land is protected, though some is leased for commercial use, and less than one percent is used for military purposes.[184][185] - -Environmental issues in the United States include debates on non-renewable resources and nuclear energy, air and water pollution, biodiversity, logging and deforestation,[186][187] and climate change.[188][189] The U.S. Environmental Protection Agency (EPA) is the federal agency charged with addressing most environmental-related issues.[190] The idea of wilderness has shaped the management of public lands since 1964, with the Wilderness Act.[191] The Endangered Species Act of 1973 provides a way to protect threatened and endangered species and their habitats. The United States Fish and Wildlife Service implements and enforces the Act.[192] As of 2022, the U.S. ranked 43rd among 180 countries in the Environmental Performance Index.[193] The country joined the Paris Agreement on climate change in 2016 and has many other environmental commitments.[194] - -Government and politics -Main articles: Constitution of the United States and Politics of the United States -Further information: Elections in the United States, Political ideologies in the United States, Americanism (ideology), and American civil religion - -The Capitol and its two legislative chambers, the Senate (left) and the House of Representatives (right) - -The White House, the residence and workplace of the U.S. president and the offices of the presidential staff - -The Supreme Court Building, which houses the nation's highest court -The United States is a federal republic of 50 states, with its capital in a federal district, asserting sovereignty over five unincorporated territories and several uninhabited island possessions (some of which are disputed).[195][196] It is the world's oldest surviving federation, and, according to the World Economic Forum, the oldest democracy as well.[197] It is a liberal representative democracy "in which majority rule is tempered by minority rights protected by law."[198] The Constitution of the United States serves as the country's supreme legal document, also establishing the structure and responsibilities of the national federal government and its relationship with the individual states.[199] - -National government -Main article: Federal government of the United States -Comprised of three branches, all headquartered in Washington, D.C., the federal government is the national government of the United States. It is regulated by a strong system of checks and balances.[200] - -The U.S. Congress, a bicameral legislature, made up of the Senate and the House of Representatives, makes federal law, declares war, approves treaties, has the power of the purse,[201] and has the power of impeachment.[202] The Senate has 100 members (2 from each state), elected for a six-year term. The House of Representatives has 435 members from single member congressional districts allocated to each state on the basis of population, elected for a two-year term.[203] -The U.S. president is the commander-in-chief of the military, can veto legislative bills before they become law (subject to congressional override), and appoints the members of the Cabinet (subject to Senate approval) and other officials, who administer and enforce federal laws and policies through their respective agencies.[204] The president and the vice president run and are elected together in a presidential election. Unlike any others in American politics, it is an indirect election, with the winner being determined by votes cast by electors of the Electoral College. The President and Vice President serve a four-year term and may be elected to the office no more than twice.[205] -The U.S. federal judiciary, whose judges are all appointed for life by the President with Senate approval, consists primarily of the U.S. Supreme Court, the U.S. courts of appeals, and the U.S. district courts. The U.S. Supreme Court interprets laws and overturn those they find unconstitutional.[206] The Supreme Court is led by the Chief Justice of the United States. It has nine members who serve for life. The members are appointed by the sitting president when a vacancy becomes available.[207] -The three-branch system is known as the presidential system, in contrast to the parliamentary system, where the executive is part of the legislative body. Many countries around the world copied this aspect of the 1789 Constitution of the United States, especially in the Americas.[208] - -Political parties -Main articles: Political parties in the United States, Political party strength in U.S. states, and List of political parties in the United States - -U.S. state governments (governor and legislature) by party control: - Democratic control - Republican control - Split control -The Constitution is silent on political parties. However, they developed independently in the 18th century with the Federalist and Anti-Federalist parties.[209] Since then, the United States has operated as a de facto two-party system, though the parties in that system have been different at different times. - -The two main national parties are presently the Democratic and the Republican. The former is perceived as relatively liberal in its political platform while the latter is perceived as relatively conservative.[210] Each has a primary system to nominate a presidential ticket, and each runs candidates for other offices in every state in the Union. Other smaller and less influential parties exist but do not have the national scope and breadth of the two main parties. - -Subdivisions -Main articles: State governments of the United States, Local government in the United States, and U.S. state -Further information: List of states and territories of the United States, Indian reservation, Territories of the United States, and Territorial evolution of the United States -In the American federal system, sovereign powers are shared between two levels of elected government: national and state. People in the states are also represented by local elected governments, which are administrative divisions of the states.[211] States are subdivided into counties or county equivalents, and further divided into municipalities. The District of Columbia is a federal district that contains the capital of the United States, the city of Washington.[212] The territories and the District of Columbia are administrative divisions of the federal government.[213] - - -Foreign relations -Main articles: Foreign relations of the United States and Foreign policy of the United States -see caption -The United Nations headquarters has been situated along the East River in Midtown Manhattan since 1952; in 1945, the United States was a founding member of the UN. -The United States has an established structure of foreign relations, and it has the world's second-largest diplomatic corps as of 2024. It is a permanent member of the United Nations Security Council,[214] and home to the United Nations headquarters.[215] The United States is a member of the G7,[216] G20,[217] and OECD intergovernmental organizations.[218] Almost all countries have embassies and many have consulates (official representatives) in the country. Likewise, nearly all countries host formal diplomatic missions with the United States, except Iran,[219] North Korea,[220] and Bhutan.[221] Though Taiwan does not have formal diplomatic relations with the U.S., it maintains close unofficial relations.[222] The United States regularly supplies Taiwan with military equipment to deter potential Chinese aggression.[223] Its geopolitical attention also turned to the Indo-Pacific when the United States joined the Quadrilateral Security Dialogue with Australia, India, and Japan.[224] - -The United States has a "Special Relationship" with the United Kingdom[225] and strong ties with Canada,[226] Australia,[227] New Zealand,[228] the Philippines,[229] Japan,[230] South Korea,[231] Israel,[232] and several European Union countries (France, Italy, Germany, Spain, and Poland).[233] The U.S. works closely with its NATO allies on military and national security issues, and with countries in the Americas through the Organization of American States and the United States–Mexico–Canada Free Trade Agreement. In South America, Colombia is traditionally considered to be the closest ally of the United States.[234] The U.S. exercises full international defense authority and responsibility for Micronesia, the Marshall Islands, and Palau through the Compact of Free Association.[235] It has increasingly conducted strategic cooperation with India,[236] but its ties with China have steadily deteriorated.[237][238] Since 2014, the U.S. has become a key ally of Ukraine;[239] it has also provided the country with significant military equipment and other support in response to Russia's 2022 invasion.[240] - -Military -Main articles: United States Armed Forces and Military history of the United States - -The Pentagon, the headquarters of the U.S. Department of Defense in Arlington County, Virginia, is one of the world's largest office buildings with about 6.5 million square feet (600,000 m2) of floor space. -The President is the commander-in-chief of the United States Armed Forces and appoints its leaders, the secretary of defense and the Joint Chiefs of Staff. The Department of Defense, which is headquartered at the Pentagon near Washington, D.C., administers five of the six service branches, which are made up of the Army, Marine Corps, Navy, Air Force, and Space Force. The Coast Guard is administered by the Department of Homeland Security in peacetime and can be transferred to the Department of the Navy in wartime.[241] - -The United States spent $877 billion on its military in 2022, which is by far the largest amount of any country, making up 39% of global military spending and accounting for 3.5% of the country's GDP.[242][243] The U.S. has 45% of the world's nuclear weapons, the second-largest amount after Russia.[244] - -The United States has the third-largest combined armed forces in the world, behind the Chinese People's Liberation Army and Indian Armed Forces.[245] The military operates about 800 bases and facilities abroad,[246] and maintains deployments greater than 100 active duty personnel in 25 foreign countries.[247] - -Law enforcement and crime -Main articles: Law of the United States, Law enforcement in the United States, Crime in the United States, and Censorship in the United States - -J. Edgar Hoover Building, the headquarters of the Federal Bureau of Investigation (FBI), in Washington, D.C. -There are about 18,000 U.S. police agencies from local to national level in the United States.[248] Law in the United States is mainly enforced by local police departments and sheriff departments in their municipal or county jurisdictions. The state police departments have authority in their respective state, and federal agencies such as the Federal Bureau of Investigation (FBI) and the U.S. Marshals Service have national jurisdiction and specialized duties, such as protecting civil rights, national security and enforcing U.S. federal courts' rulings and federal laws.[249] State courts conduct most civil and criminal trials,[250] and federal courts handle designated crimes and appeals of state court decisions.[251] - -As of January 2023, the United States has the sixth highest per-capita incarceration rate in the world, at 531 people per 100,000; and the largest prison and jail population in the world with almost 2 million people incarcerated.[252][253][254] An analysis of the World Health Organization Mortality Database from 2010 showed U.S. homicide rates "were 7 times higher than in other high-income countries, driven by a gun homicide rate that was 25 times higher."[255] - -Economy -Main article: Economy of the United States -Further information: Economic history of the United States and Tourism in the United States -see caption -The U.S. dollar, most-used currency in international transactions and the world's foremost reserve currency[256] - -Microsoft campus, in Redmond, Washington, is the headquarters of Microsoft, the world's biggest company by market capitalization.[257] -The U.S. has been the world's largest economy nominally since about 1890.[258] The 2023 nominal U.S. gross domestic product (GDP) of $27 trillion was the largest in the world, constituting over 25% of the global economy or 15% at purchasing power parity (PPP).[259][13] From 1983 to 2008, U.S. real compounded annual GDP growth was 3.3%, compared to a 2.3% weighted average for the rest of the Group of Seven.[260] The country ranks first in the world by disposable income per capita and nominal GDP;[261] second by GDP (PPP), after China;[13] and ninth by GDP (PPP) per capita.[13] - -Of the world's 500 largest companies, 136 are headquartered in the U.S.[262] The U.S. dollar is the currency most used in international transactions and is the world's foremost reserve currency, backed by the country's dominant economy, its military, the petrodollar system, and its linked eurodollar and large U.S. treasuries market.[256] Several countries use it as their official currency and in others it is the de facto currency.[263][264] It has free trade agreements with several countries, including the USMCA.[265] The U.S. ranked second in the Global Competitiveness Report in 2019, after Singapore.[266] While its economy has reached a post-industrial level of development, the United States remains an industrial power.[267] As of 2021, the U.S. is the second-largest manufacturing country after China.[268] - - -The New York Stock Exchange on Wall Street, the world's largest stock exchange by market capitalization[269] -New York City is the world's principal financial center[270][271] and the epicenter of the world's largest metropolitan economy.[272] The New York Stock Exchange and Nasdaq, both located in New York City, are the world's two largest stock exchanges by market capitalization and trade volume.[273][274] The United States is at or near the forefront of technological advancement and innovation[275] in many economic fields, especially in artificial intelligence; computers; pharmaceuticals; and medical, aerospace and military equipment.[276] The country's economy is fueled by abundant natural resources, a well-developed infrastructure, and high productivity.[277] The largest U.S. trading partners are the European Union, Mexico, Canada, China, Japan, South Korea, the United Kingdom, Vietnam, India, and Taiwan.[278] The United States is the world's largest importer and the second-largest exporter after China.[279] It is by far the world's largest exporter of services.[280] - -Americans have the highest average household and employee income among OECD member states,[281] and the fourth-highest median household income,[282] up from sixth-highest in 2013.[283] Wealth in the United States is highly concentrated; the richest 10% of the adult population own 72% of the country's household wealth, while the bottom 50% own just 2%.[284] Income inequality in the U.S. remains at record highs,[285] with the top fifth of earners taking home more than half of all income[286] and giving the U.S. one of the widest income distributions among OECD members.[287][288] The U.S. ranks first in the number of dollar billionaires and millionaires, with 735 billionaires and nearly 22 million millionaires (as of 2023).[289] There were about 582,500 sheltered and unsheltered homeless persons in the U.S. in 2022, with 60% staying in an emergency shelter or transitional housing program.[290] In 2018, six million children experienced food insecurity.[291] Feeding America estimates that around one in seven, or approximately 11 million, children experience hunger and do not know where they will get their next meal or when.[292] As of 2021, 38 million people, about 12% of the U.S. population, were living in poverty.[293] - -The United States has a smaller welfare state and redistributes less income through government action than most other high-income countries.[294][295] It is the only advanced economy that does not guarantee its workers paid vacation nationally[296] and is one of a few countries in the world without federal paid family leave as a legal right.[297] The United States has a higher percentage of low-income workers than almost any other developed country, largely because of a weak collective bargaining system and lack of government support for at-risk workers.[298] - -Science, technology, and energy -Main articles: Science and technology in the United States, Science policy of the United States, Communications in the United States, and Energy in the United States - -U.S. astronaut Buzz Aldrin saluting the American flag on the Moon during the 1969 Apollo 11 mission; the United States is the only country that has landed crews on the lunar surface. -The United States has been a leader in technological innovation since the late 19th century and scientific research since the mid-20th century. Methods for producing interchangeable parts and the establishment of a machine tool industry enabled the large-scale manufacturing of U.S. consumer products in the late 19th century. By the early 20th century, factory electrification, the introduction of the assembly line, and other labor-saving techniques created the system of mass production.[299] The United States is a leader in the development of artificial intelligence technology and has maintained a space program since the late 1950s, with plans for long-term habitation of the Moon.[300][301] - -In 2022, the United States was the country with the second-highest number of published scientific papers.[302] As of 2021, the U.S. ranked second by the number of patent applications, and third by trademark and industrial design applications.[303] In 2023, the United States ranked 3rd in the Global Innovation Index.[304] - -As of 2022, the United States receives approximately 81% of its energy from fossil fuel and the largest source of the country's energy came from petroleum (35.8%), followed by natural gas (33.4%), renewable sources (13.3%), coal (9.8%), and nuclear power (8%).[305][306] The United States constitutes less than 5% of the world's population, but consumes 17% of the world's energy.[307][308] The U.S. ranks as the second-highest emitter of greenhouse gases.[309] - -Transportation -Main article: Transportation in the United States - -Hartsfield–Jackson Atlanta International Airport, serving the Atlanta metropolitan area, is the world's busiest airport by passenger traffic with over 93 million passengers annually in 2022.[310] -Personal transportation in the United States is dominated by automobiles,[311][312] which operate on a network of 4 million miles (6.4 million kilometers) of public roads, making it the longest network in the world.[313][314] The Oldsmobile Curved Dash and the Ford Model T, both American cars, are considered the first mass-produced[315] and mass-affordable[316] cars, respectively. As of 2022, the United States is the second-largest manufacturer of motor vehicles[317] and is home to Tesla, the world's most valuable car company.[318] American automotive company General Motors held the title of the world's best-selling automaker from 1931 to 2008.[319] Currently, the American automotive industry is the world's second-largest automobile market by sales,[320] and the U.S. has the highest vehicle ownership per capita in the world,[321] with 910 vehicles per 1000 people.[322] The United States's rail transport network, the longest network in the world,[323] handles mostly freight.[324][325] - -The American civil airline industry is entirely privately owned and has been largely deregulated since 1978, while most major airports are publicly owned.[326] The three largest airlines in the world by passengers carried are U.S.-based; American Airlines is number one after its 2013 acquisition by US Airways.[327] Of the world's 50 busiest passenger airports, 16 are in the United States, including the top five and the busiest, Hartsfield–Jackson Atlanta International Airport.[328][329] As of 2022, there are 19,969 airports in the U.S., of which 5,193 are designated as "public use", including for general aviation and other activities.[330] - -Of the fifty busiest container ports, four are located in the United States, of which the busiest is the Port of Los Angeles.[331] The country's inland waterways are the world's fifth-longest, and total 41,009 km (25,482 mi).[332] - -Demographics -Main article: Demographics of the United States -Population -Main articles: Americans and Race and ethnicity in the United States -See also: List of U.S. states by population - -As of 2020, the majority of the U.S. population lived in suburbs. Above: Nassau County, New York on Long Island, immediately east of New York City. -The U.S. Census Bureau reported 331,449,281 residents as of April 1, 2020,[n][333] making the United States the third-most-populous country in the world, after China and India.[334] According to the Bureau's U.S. Population Clock, on January 28, 2021, the U.S. population had a net gain of one person every 100 seconds, or about 864 people per day.[335] In 2018, 52% of Americans age 15 and over were married, 6% were widowed, 10% were divorced, and 32% had never been married.[336] In 2021, the total fertility rate for the U.S. stood at 1.7 children per woman,[337] and it had the world's highest rate of children (23%) living in single-parent households in 2019.[338] - -The United States has a diverse population; 37 ancestry groups have more than one million members.[339] White Americans with ancestry from Europe, the Middle East or North Africa, form the largest racial and ethnic group at 57.8% of the United States population.[340][341] Hispanic and Latino Americans form the second-largest group and are 18.7% of the United States population. African Americans constitute the country's third-largest ancestry group and are 12.1% of the total U.S. population.[339] Asian Americans are the country's fourth-largest group, composing 5.9% of the United States population, while the country's 3.7 million Native Americans account for about 1%.[339] In 2020, the median age of the United States population was 38.5 years.[334] - -Language -Main article: Languages of the United States - -Most spoken languages in the U.S. -While many languages are spoken in the United States, English is by far the most commonly spoken and written.[342] Although there is no official language at the federal level, some laws, such as U.S. naturalization requirements, standardize English, and most states have declared it the official language.[343] Three states and four U.S. territories have recognized local or indigenous languages in addition to English, including Hawaii (Hawaiian),[344] Alaska (twenty Native languages),[o][345] South Dakota (Sioux),[346] American Samoa (Samoan), Puerto Rico (Spanish), Guam (Chamorro), and the Northern Mariana Islands (Carolinian and Chamorro). In Puerto Rico, Spanish is more widely spoken than English.[347] - -According to the American Community Survey in 2010, some 229 million people out of the total U.S. population of 308 million spoke only English at home. About 37 million spoke Spanish at home, making it the second most commonly used language. Other languages spoken at home by one million people or more include Chinese (2.8 million), Tagalog (1.6 million), Vietnamese (1.4 million), French (1.3 million), Korean (1.1 million), and German (1 million).[348] - -Immigration -Main articles: Immigration to the United States and United States Border Patrol - -Mexico–United States border wall between San Diego (left) and Tijuana (right) -America's immigrant population, 51 million, is by far the world's largest in absolute terms.[349][350] In 2022, there were 87.7 million immigrants and U.S.-born children of immigrants in the United States, accounting for nearly 27% of the overall U.S. population.[351] In 2017, out of the U.S. foreign-born population, some 45% (20.7 million) were naturalized citizens, 27% (12.3 million) were lawful permanent residents, 6% (2.2 million) were temporary lawful residents, and 23% (10.5 million) were unauthorized immigrants.[352] In 2019, the top countries of origin for immigrants were Mexico (24% of immigrants), India (6%), China (5%), the Philippines (4.5%), and El Salvador (3%).[353] The United States has led the world in refugee resettlement for decades, admitting more refugees than the rest of the world combined.[354] - -Religion -Main articles: Religion in the United States and Irreligion in the United States -See also: List of religious movements that began in the United States -Religious affiliation in the U.S., according to a 2022 Gallup poll:[7] - - Protestantism (34%) - Catholicism (23%) - Non-specific Christian (11%) - Mormonism (2%) - Judaism (2%) - Other religions (6%) - Unaffiliated (21%) - Unanswered (1%) -The First Amendment guarantees the free exercise of religion and forbids Congress from passing laws respecting its establishment.[355][356] Religious practice is widespread, among the most diverse in the world,[357] and profoundly vibrant.[358] The country has the world's largest Christian population.[359] A majority of the global Jewish population lives in the United States, as measured by the Law of Return.[360] Other notable faiths include Buddhism, Hinduism, Islam, many New Age movements, and Native American religions.[361] Religious practice varies significantly by region.[362] "Ceremonial deism" is common in American culture.[363] - -The overwhelming majority of Americans believe in a higher power or spiritual force, engage in spiritual practices such as prayer, and consider themselves religious or spiritual.[364][365] In the "Bible Belt", located within the Southern United States, evangelical Protestantism plays a significant role culturally, whereas New England and the Western United States tend to be more secular.[362] Mormonism—a Restorationist movement, whose members migrated westward from Missouri and Illinois under the leadership of Brigham Young in 1847 after the assassination of Joseph Smith[366]—remains the predominant religion in Utah to this day.[367] - -Urbanization -Main articles: Urbanization in the United States and List of United States cities by population -About 82% of Americans live in urban areas, including suburbs;[159] about half of those reside in cities with populations over 50,000.[368] In 2022, 333 incorporated municipalities had populations over 100,000, nine cities had more than one million residents, and four cities (New York City, Los Angeles, Chicago, and Houston) had populations exceeding two million.[369] Many U.S. metropolitan populations are growing rapidly, particularly in the South and West.[370] - -Health -See also: Healthcare in the United States, Healthcare reform in the United States, and Health insurance in the United States -The Texas Medical Center, a cluster of contemporary skyscrapers, at night -Texas Medical Center in Houston is the largest medical complex in the world.[372][373] As of 2018, it employed 120,000 people and treated 10 million patients annually.[374] -According to the Centers for Disease Control (CDC), average American life expectancy at birth was 77.5 years in 2022 (74.8 years for men and 80.2 years for women). This was a gain of 1.1 years from 76.4 years in 2021, but the CDC noted that the new average "didn't fully offset the loss of 2.4 years between 2019 and 2021". The COVID pandemic and higher overall mortality due to opioid overdoses and suicides were held mostly responsible for the previous drop in life expectancy.[375] The same report stated that the 2022 gains in average U.S. life expectancy were especially significant for men, Hispanics, and American Indian–Alaskan Native people (AIAN). Starting in 1998, the life expectancy in the U.S. fell behind that of other wealthy industrialized countries, and Americans' "health disadvantage" gap has been increasing ever since.[376] The U.S. has one of the highest suicide rates among high-income countries.[377] Approximately one-third of the U.S. adult population is obese and another third is overweight.[378] The U.S. healthcare system far outspends that of any other country, measured both in per capita spending and as a percentage of GDP, but attains worse healthcare outcomes when compared to peer countries for reasons that are debated.[379] The United States is the only developed country without a system of universal healthcare, and a significant proportion of the population that does not carry health insurance.[380] Government-funded healthcare coverage for the poor (Medicaid) and for those age 65 and older (Medicare) is available to Americans who meet the programs' income or age qualifications. In 2010, former President Obama passed the Patient Protection and Affordable Care Act.[p][381] - -Education -Main articles: Education in the United States and Higher education in the United States -Photograph of the University of Virginia -The University of Virginia, founded by Thomas Jefferson in 1819, is one of many public colleges and universities in the United States. -American primary and secondary education (known in the U.S. as K-12, "kindergarten through 12th grade") is decentralized. It is operated by state, territorial, and sometimes municipal governments and regulated by the U.S. Department of Education. In general, children are required to attend school or an approved homeschool from the age of five or six (kindergarten or first grade) until they are 18 years old. This often brings students through the 12th grade, the final year of a U.S. high school, but some states and territories allow them to leave school earlier, at age 16 or 17.[382] The U.S. spends more on education per student than any country in the world,[383] an average of $12,794 per year per public elementary and secondary school student in 2016–2017.[384] Among Americans age 25 and older, 84.6% graduated from high school, 52.6% attended some college, 27.2% earned a bachelor's degree, and 9.6% earned a graduate degree.[385] The U.S. literacy rate is near-universal.[159][386] The country has the most Nobel Prize winners in history, with 411 (having won 413 awards).[387][388] - -U.S. tertiary or higher education has earned a global reputation. Many of the world's top universities, as listed by various ranking organizations, are in the United States, including 19 of the top 25.[389][390] American higher education is dominated by state university systems, although the country's many private universities and colleges enroll about 20% of all American students. Large amounts of federal financial aid are provided to students in the form of grants and loans. - -Colleges and universities directly funded by the federal government are limited to military personnel and government employees and include the U.S. service academies, the Naval Postgraduate School, and military staff colleges. Local community colleges generally offer coursework and degree programs covering the first two years of college study. They often have more open admission policies, shorter academic programs, and lower tuition.[391] - -As for public expenditures on higher education, the U.S. spends more per student than the OECD average, and more than all nations in combined public and private spending.[392] Despite some student loan forgiveness programs in place,[393] student loan debt has increased by 102% in the last decade,[394] and exceeded 1.7 trillion dollars as of 2022.[395] - -Culture and society -Main articles: Culture of the United States and Society of the United States -The Statue of Liberty, a large teal bronze sculpture on a stone pedestal -The Statue of Liberty (Liberty Enlightening the World) on Liberty Island in New York Harbor was an 1866 gift from France that has become an iconic symbol of the American Dream.[396] -Americans have traditionally been characterized by a unifying political belief in an "American creed" emphasizing liberty, equality under the law, democracy, social equality, property rights, and a preference for limited government.[397][398] Culturally, the country has been described as having the values of individualism and personal autonomy,[399][400] having a strong work ethic,[401] competitiveness,[402] and voluntary altruism towards others.[403][404][405] According to a 2016 study by the Charities Aid Foundation, Americans donated 1.44% of total GDP to charity, the highest rate in the world by a large margin.[406] The United States is home to a wide variety of ethnic groups, traditions, and values. It has acquired significant cultural and economic soft power.[407][408] - -Nearly all present Americans or their ancestors came from Europe, Africa, and Asia ("the Old World") within the past five centuries.[409] Mainstream American culture is a Western culture largely derived from the traditions of European immigrants with influences from many other sources, such as traditions brought by slaves from Africa.[410] More recent immigration from Asia and especially Latin America has added to a cultural mix that has been described as a homogenizing melting pot, and a heterogeneous salad bowl, with immigrants contributing to, and often assimilating into, mainstream American culture. The American Dream, or the perception that Americans enjoy high social mobility, plays a key role in attracting immigrants.[411] Whether this perception is accurate has been a topic of debate.[412][413][414] While mainstream culture holds that the United States is a classless society,[415] scholars identify significant differences between the country's social classes, affecting socialization, language, and values.[416] Americans tend to greatly value socioeconomic achievement, but being ordinary or average is promoted by some as a noble condition as well.[417] - -The United States is considered to have the strongest protections of free speech of any country under the First Amendment,[418] which protects flag desecration, hate speech, blasphemy, and lese-majesty as forms of protected expression.[419][420][421] A 2016 Pew Research Center poll found that Americans were the most supportive of free expression of any polity measured.[422] They are the "most supportive of freedom of the press and the right to use the Internet without government censorship."[423] It is a socially progressive country[424] with permissive attitudes surrounding human sexuality.[425] LGBT rights in the United States are advanced by global standards.[425][426][427] - -Literature -Main articles: American literature and American philosophy -See also: List of American novelists -Photograph of Mark Twain -Mark Twain, who William Faulkner called "the father of American literature"[428] -Colonial American authors were influenced by John Locke and various other Enlightenment philosophers.[429][430] Before and shortly after the Revolutionary War, the newspaper rose to prominence, filling a demand for anti-British national literature.[431][432] Led by Ralph Waldo Emerson and Margaret Fuller in New England,[433] transcendentalism branched from Unitarianism as the first major American philosophical movement.[434][435] During the nineteenth-century American Renaissance, writers like Walt Whitman and Harriet Beecher Stowe established a distinctive American literary tradition.[436][437] As literacy rates rose, periodicals published more stories centered around industrial workers, women, and the rural poor.[438][439] Naturalism, regionalism, and realism—the latter associated with Mark Twain—were the major literary movements of the period.[440][441] - -While modernism generally took on an international character, modernist authors working within the United States more often rooted their work in specific regions, peoples, and cultures.[442] Following the Great Migration to northern cities, African-American and black West Indian authors of the Harlem Renaissance developed an independent tradition of literature that rebuked a history of inequality and celebrated black culture. An important cultural export during the Jazz Age, these writings were a key influence on the négritude philosophy.[443][444] In the 1950s, an ideal of homogeneity led many authors to attempt to write the Great American Novel,[445] while the Beat Generation rejected this conformity, using styles that elevated the impact of the spoken word over mechanics to describe drug use, sexuality, and the failings of society.[446][447] Contemporary literature is more pluralistic than in previous eras, with the closest thing to a unifying feature being a trend toward self-conscious experiments with language.[448] - -Mass media -Further information: Mass media in the United States -See also: Newspapers in the United States, Television in the United States, Internet in the United States, Radio in the United States, and Video games in the United States - -Comcast Center in Philadelphia, headquarters of Comcast, the world's largest telecommunications and media conglomerate -Media is broadly uncensored, with the First Amendment providing significant protections, as reiterated in New York Times Co. v. United States.[418] The four major broadcasters in the U.S. are the National Broadcasting Company (NBC), Columbia Broadcasting System (CBS), American Broadcasting Company (ABC), and Fox Broadcasting Company (FOX). The four major broadcast television networks are all commercial entities. Cable television offers hundreds of channels catering to a variety of niches.[449] As of 2021, about 83% of Americans over age 12 listen to broadcast radio, while about 40% listen to podcasts.[450] As of 2020, there were 15,460 licensed full-power radio stations in the U.S. according to the Federal Communications Commission (FCC).[451] Much of the public radio broadcasting is supplied by NPR, incorporated in February 1970 under the Public Broadcasting Act of 1967.[452] - -U.S. newspapers with a global reach and reputation include The Wall Street Journal, The New York Times, The Washington Post, and USA Today.[453] About 800 publications are produced in Spanish.[454][455] With few exceptions, newspapers are privately owned, either by large chains such as Gannett or McClatchy, which own dozens or even hundreds of newspapers; by small chains that own a handful of papers; or, in a situation that is increasingly rare, by individuals or families. Major cities often have alternative newspapers to complement the mainstream daily papers, such as The Village Voice in New York City and LA Weekly in Los Angeles. The five most popular websites used in the U.S. are Google, YouTube, Amazon, Yahoo, and Facebook, with all of them being American companies.[456] - -As of 2022, the video game market of the United States is the world's largest by revenue.[457] There are 444 publishers, developers, and hardware companies in California alone.[458] - -Theater -Main article: Theater in the United States - -Broadway theatres in Theater District, Manhattan -The United States is well known for its cinema and theater. Mainstream theater in the United States derives from the old European theatrical tradition and has been heavily influenced by the British theater.[459] By the middle of the 19th century America had created new distinct dramatic forms in the Tom Shows, the showboat theater and the minstrel show.[460] The central hub of the American theater scene is Manhattan, with its divisions of Broadway, off-Broadway, and off-off-Broadway.[461] - -Many movie and television stars have gotten their big break working in New York productions. Outside New York City, many cities have professional regional or resident theater companies that produce their own seasons. The biggest-budget theatrical productions are musicals. U.S. theater has an active community theater culture.[462] - -The Tony Awards recognizes excellence in live Broadway theatre and are presented at an annual ceremony in Manhattan. The awards are given for Broadway productions and performances. One is also given for regional theatre. Several discretionary non-competitive awards are given as well, including a Special Tony Award, the Tony Honors for Excellence in Theatre, and the Isabelle Stevenson Award.[463] - -Visual arts -Main articles: Visual art of the United States and Architecture of the United States - -American Gothic (1930) by Grant Wood is one of the most famous American paintings and is widely parodied.[464] -In the visual arts, the Hudson River School was a mid-19th-century movement in the tradition of European naturalism. The 1913 Armory Show in New York City, an exhibition of European modernist art, shocked the public and transformed the U.S. art scene.[465] - -Georgia O'Keeffe, Marsden Hartley, and others experimented with new and individualistic styles, which would become known as American modernism. Major artistic movements such as the abstract expressionism of Jackson Pollock and Willem de Kooning and the pop art of Andy Warhol and Roy Lichtenstein developed largely in the United States. Major photographers include Alfred Stieglitz, Edward Steichen, Dorothea Lange, Edward Weston, James Van Der Zee, Ansel Adams, and Gordon Parks.[466] - -The tide of modernism and then postmodernism has brought global fame to American architects, including Frank Lloyd Wright, Philip Johnson, and Frank Gehry.[467] The Metropolitan Museum of Art in Manhattan is the largest art museum in the United States.[468] - -Music -Main article: Music of the United States -American folk music encompasses numerous music genres, variously known as traditional music, traditional folk music, contemporary folk music, or roots music. Many traditional songs have been sung within the same family or folk group for generations, and sometimes trace back to such origins as the British Isles, Mainland Europe, or Africa.[469] The rhythmic and lyrical styles of African-American music in particular have influenced American music.[470] Banjos were brought to America through the slave trade. Minstrel shows incorporating the instrument into their acts led to its increased popularity and widespread production in the 19th century.[471][472] The electric guitar, first invented in the 1930s, and mass-produced by the 1940s, had an enormous influence on popular music, in particular due to the development of rock and roll.[473] - - -The Country Music Hall of Fame and Museum in Nashville, Tennessee -Elements from folk idioms such as the blues and old-time music were adopted and transformed into popular genres with global audiences. Jazz grew from blues and ragtime in the early 20th century, developing from the innovations and recordings of composers such as W.C. Handy and Jelly Roll Morton. Louis Armstrong and Duke Ellington increased its popularity early in the 20th century.[474] Country music developed in the 1920s,[475] rock and roll in the 1930s,[473] and bluegrass[476] and rhythm and blues in the 1940s.[477] In the 1960s, Bob Dylan emerged from the folk revival to become one of the country's most celebrated songwriters.[478] The musical forms of punk and hip hop both originated in the United States in the 1970s.[479] - -The United States has the world's largest music market with a total retail value of $15.9 billion in 2022.[480] Most of the world's major record companies are based in the U.S.; they are represented by the Recording Industry Association of America (RIAA).[481] Mid-20th-century American pop stars, such as Frank Sinatra[482] and Elvis Presley,[483] became global celebrities and best-selling music artists,[474] as have artists of the late 20th century, such as Michael Jackson,[484] Madonna,[485] Whitney Houston,[486] and Prince,[487] and of early 21st century such as Taylor Swift and Beyoncé.[488] - -Fashion -Main article: Fashion in the United States - -Haute couture fashion models on the catwalk during New York Fashion Week -The United States and China collectively account for the majority of global apparel demand. Apart from professional business attire, American fashion is eclectic and predominantly informal. While Americans' diverse cultural roots are reflected in their clothing, sneakers, jeans, T-shirts, and baseball caps are emblematic of American styles.[489] New York is considered to be one of the "big four" global fashion capitals, along with Paris, Milan, and London. A study demonstrated that general proximity to Manhattan's Garment District has been synonymous with American fashion since its inception in the early 20th century.[490] - -The headquarters of many designer labels reside in Manhattan. Labels cater to niche markets, such as pre teens. There has been a trend in the United States fashion towards sustainable clothing.[491] New York Fashion Week is one of the most influential fashion weeks in the world, and occurs twice a year.[492] - -Cinema -Main article: Cinema of the United States - -The iconic Hollywood Sign, in the Hollywood Hills, often regarded as the symbol of the American film industry -The U.S. film industry has a worldwide influence and following. Hollywood, a district in northern Los Angeles, the nation's second-most populous city, is also metonymous for the American filmmaking industry, the third-largest in the world, following India and Nigeria.[493][494][495] The major film studios of the United States are the primary source of the most commercially successful and most ticket-selling movies in the world.[496][497] Since the early 20th century, the U.S. film industry has largely been based in and around Hollywood, although in the 21st century an increasing number of films are not made there, and film companies have been subject to the forces of globalization.[498] The Academy Awards, popularly known as the Oscars, have been held annually by the Academy of Motion Picture Arts and Sciences since 1929,[499] and the Golden Globe Awards have been held annually since January 1944.[500] - -The industry enjoyed its golden years, in what is commonly referred to as the "Golden Age of Hollywood", from the early sound period until the early 1960s,[501] with screen actors such as John Wayne and Marilyn Monroe becoming iconic figures.[502][503] In the 1970s, "New Hollywood" or the "Hollywood Renaissance"[504] was defined by grittier films influenced by French and Italian realist pictures of the post-war period.[505] The 21st century was marked by the rise of American streaming platforms, which came to rival traditional cinema.[506][507] - -Cuisine -Main article: American cuisine -Further information: List of American regional and fusion cuisines - -A Thanksgiving dinner with roast turkey, mashed potatoes, pickles, corn, candied yams, cranberry jelly, shrimps, stuffing, green peas, deviled eggs, green salad and apple sauce -Early settlers were introduced by Native Americans to foods such as turkey, sweet potatoes, corn, squash, and maple syrup. Of the most enduring and pervasive examples are variations of the native dish called succotash. Early settlers and later immigrants combined these with foods they were familiar with, such as wheat flour,[508] beef, and milk to create a distinctive American cuisine.[509][510] New World crops, especially pumpkin, corn, potatoes, and turkey as the main course are part of a shared national menu on Thanksgiving, when many Americans prepare or purchase traditional dishes to celebrate the occasion.[511] - -Characteristic American dishes such as apple pie, fried chicken, doughnuts, french fries, macaroni and cheese, ice cream, pizza, hamburgers, and hot dogs derive from the recipes of various immigrant groups.[512][513][514][515] Mexican dishes such as burritos and tacos preexisted the United States in areas later annexed from Mexico, and adaptations of Chinese cuisine as well as pasta dishes freely adapted from Italian sources are all widely consumed.[516] American chefs have had a significant impact on society both domestically and internationally. In 1946, the Culinary Institute of America was founded by Katharine Angell and Frances Roth. This would become the United States' most prestigious culinary school, where many of the most talented American chefs would study prior to successful careers.[517][518] - -The United States restaurant industry was projected at $899 billion in sales for 2020,[519][520] and employed more than 15 million people, representing 10% of the nation's workforce directly.[519] It is the country's second-largest private employer and the third-largest employer overall.[521][522] The United States is home to over 220 Michelin Star rated restaurants, 70 of which are in New York City alone.[523] Wine has been produced in what is now the United States since the 1500s, with the first widespread production beginning in what is now New Mexico in 1628.[524][525][526] Today, wine production is undertaken in all fifty states, with California producing 84 percent of all US wine. With more than 1,100,000 acres (4,500 km2) under vine, the United States is the fourth-largest wine producing country in the world, after Italy, Spain, and France.[527][528] - -The American fast-food industry, the world's first and largest, pioneered the drive-through format in the 1940s[529] and is often viewed as being a symbol of U.S. marketing dominance. American companies such as McDonald's,[530] Burger King, Pizza Hut, Kentucky Fried Chicken, and Domino's Pizza, among many others, have numerous outlets around the world.[531] \ No newline at end of file From 987ac5444f223efd8602327d54c83bf144152c51 Mon Sep 17 00:00:00 2001 From: joe-at-openai <117690718+joe-at-openai@users.noreply.github.com> Date: Fri, 19 Apr 2024 12:05:01 -0700 Subject: [PATCH 36/44] Update registry.yaml (#1161) --- registry.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/registry.yaml b/registry.yaml index 282c470..68a2a49 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1244,9 +1244,9 @@ - moderation -- title: Summarizing with controllable detail - path: examples/Summarizing_with_controllable_detail.ipynb - date: 2024-04-01 +- title: Summarizing Long Documents + path: examples/Summarizing_long_documents.ipynb + date: 2024-04-19 authors: - joe-at-openai tags: From 7973210d7a21301ac587a4fea38b68c243e431b2 Mon Sep 17 00:00:00 2001 From: katia-openai <152395277+katia-openai@users.noreply.github.com> Date: Fri, 26 Apr 2024 18:27:06 +0100 Subject: [PATCH 37/44] Adding Batch Processing notebook (#1164) --- examples/batch_processing.ipynb | 1589 +++++++++++++++++++++++++++++++ examples/data/imdb_top_1000.csv | 1001 +++++++++++++++++++ registry.yaml | 9 + 3 files changed, 2599 insertions(+) create mode 100644 examples/batch_processing.ipynb create mode 100644 examples/data/imdb_top_1000.csv diff --git a/examples/batch_processing.ipynb b/examples/batch_processing.ipynb new file mode 100644 index 0000000..2fcf562 --- /dev/null +++ b/examples/batch_processing.ipynb @@ -0,0 +1,1589 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "51c7a1f9", + "metadata": {}, + "source": [ + "# Batch processing with the Batch API\n", + "\n", + "The new Batch API allows to **create async batch jobs for a lower price and with higher rate limits**.\n", + "\n", + "Batches will be completed within 24h, but may be processed sooner depending on global usage. \n", + "\n", + "Ideal use cases for the Batch API include:\n", + "\n", + "- Tagging, captioning, or enriching content on a marketplace or blog\n", + "- Categorizing and suggesting answers for support tickets\n", + "- Performing sentiment analysis on large datasets of customer feedback\n", + "- Generating summaries or translations for collections of documents or articles\n", + "\n", + "and much more!\n", + "\n", + "This cookbook will walk you through how to use the Batch API with a couple of practical examples.\n", + "\n", + "We will start with an example to categorize movies using `gpt-3.5-turbo`, and then cover how we can use the vision capabilities of `gpt-4-turbo` to caption images.\n", + "\n", + "Please note that multiple models are available through the Batch API, and that you can use the same parameters in your Batch API calls as with the Chat Completions endpoint." + ] + }, + { + "cell_type": "markdown", + "id": "85ae3c4e", + "metadata": {}, + "source": [ + "## Setup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "02e22580", + "metadata": {}, + "outputs": [], + "source": [ + "# Make sure you have the latest version of the SDK available to use the Batch API\n", + "%pip install openai --upgrade" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "726bacba", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "from openai import OpenAI\n", + "import pandas as pd\n", + "from IPython.display import Image, display" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "4ac0c9a7", + "metadata": {}, + "outputs": [], + "source": [ + "# Initializing OpenAI client - see https://platform.openai.com/docs/quickstart?context=python\n", + "client = OpenAI()" + ] + }, + { + "cell_type": "markdown", + "id": "5fec950f", + "metadata": {}, + "source": [ + "## First example: Categorizing movies\n", + "\n", + "In this example, we will use `gpt-3.5-turbo` to extract movie categories from a description of the movie. We will also extract a 1-sentence summary from this description. \n", + "\n", + "We will use [JSON mode](https://platform.openai.com/docs/guides/text-generation/json-mode) to extract categories as an array of strings and the 1-sentence summary in a structured format. \n", + "\n", + "For each movie, we want to get a result that looks like this:\n", + "\n", + "```\n", + "{\n", + " categories: ['category1', 'category2', 'category3'],\n", + " summary: '1-sentence summary'\n", + "}\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "9fc6dcd6", + "metadata": {}, + "source": [ + "### Loading data\n", + "\n", + "We will use the IMDB top 1000 movies dataset for this example. " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1b721a0d", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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      Poster_LinkSeries_TitleReleased_YearCertificateRuntimeGenreIMDB_RatingOverviewMeta_scoreDirectorStar1Star2Star3Star4No_of_VotesGross
      0https://m.media-amazon.com/images/M/MV5BMDFkYT...The Shawshank Redemption1994A142 minDrama9.3Two imprisoned men bond over a number of years...80.0Frank DarabontTim RobbinsMorgan FreemanBob GuntonWilliam Sadler234311028,341,469
      1https://m.media-amazon.com/images/M/MV5BM2MyNj...The Godfather1972A175 minCrime, Drama9.2An organized crime dynasty's aging patriarch t...100.0Francis Ford CoppolaMarlon BrandoAl PacinoJames CaanDiane Keaton1620367134,966,411
      2https://m.media-amazon.com/images/M/MV5BMTMxNT...The Dark Knight2008UA152 minAction, Crime, Drama9.0When the menace known as the Joker wreaks havo...84.0Christopher NolanChristian BaleHeath LedgerAaron EckhartMichael Caine2303232534,858,444
      3https://m.media-amazon.com/images/M/MV5BMWMwMG...The Godfather: Part II1974A202 minCrime, Drama9.0The early life and career of Vito Corleone in ...90.0Francis Ford CoppolaAl PacinoRobert De NiroRobert DuvallDiane Keaton112995257,300,000
      4https://m.media-amazon.com/images/M/MV5BMWU4N2...12 Angry Men1957U96 minCrime, Drama9.0A jury holdout attempts to prevent a miscarria...96.0Sidney LumetHenry FondaLee J. CobbMartin BalsamJohn Fiedler6898454,360,000
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      " + ], + "text/plain": [ + " Poster_Link \\\n", + "0 https://m.media-amazon.com/images/M/MV5BMDFkYT... \n", + "1 https://m.media-amazon.com/images/M/MV5BM2MyNj... \n", + "2 https://m.media-amazon.com/images/M/MV5BMTMxNT... \n", + "3 https://m.media-amazon.com/images/M/MV5BMWMwMG... \n", + "4 https://m.media-amazon.com/images/M/MV5BMWU4N2... \n", + "\n", + " Series_Title Released_Year Certificate Runtime \\\n", + "0 The Shawshank Redemption 1994 A 142 min \n", + "1 The Godfather 1972 A 175 min \n", + "2 The Dark Knight 2008 UA 152 min \n", + "3 The Godfather: Part II 1974 A 202 min \n", + "4 12 Angry Men 1957 U 96 min \n", + "\n", + " Genre IMDB_Rating \\\n", + "0 Drama 9.3 \n", + "1 Crime, Drama 9.2 \n", + "2 Action, Crime, Drama 9.0 \n", + "3 Crime, Drama 9.0 \n", + "4 Crime, Drama 9.0 \n", + "\n", + " Overview Meta_score \\\n", + "0 Two imprisoned men bond over a number of years... 80.0 \n", + "1 An organized crime dynasty's aging patriarch t... 100.0 \n", + "2 When the menace known as the Joker wreaks havo... 84.0 \n", + "3 The early life and career of Vito Corleone in ... 90.0 \n", + "4 A jury holdout attempts to prevent a miscarria... 96.0 \n", + "\n", + " Director Star1 Star2 Star3 \\\n", + "0 Frank Darabont Tim Robbins Morgan Freeman Bob Gunton \n", + "1 Francis Ford Coppola Marlon Brando Al Pacino James Caan \n", + "2 Christopher Nolan Christian Bale Heath Ledger Aaron Eckhart \n", + "3 Francis Ford Coppola Al Pacino Robert De Niro Robert Duvall \n", + "4 Sidney Lumet Henry Fonda Lee J. Cobb Martin Balsam \n", + "\n", + " Star4 No_of_Votes Gross \n", + "0 William Sadler 2343110 28,341,469 \n", + "1 Diane Keaton 1620367 134,966,411 \n", + "2 Michael Caine 2303232 534,858,444 \n", + "3 Diane Keaton 1129952 57,300,000 \n", + "4 John Fiedler 689845 4,360,000 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset_path = \"data/imdb_top_1000.csv\"\n", + "\n", + "df = pd.read_csv(dataset_path)\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "01396a47", + "metadata": {}, + "source": [ + "### Processing step \n", + "\n", + "Here, we will prepare our requests by first trying them out with the Chat Completions endpoint.\n", + "\n", + "Once we're happy with the results, we can move on to creating the batch file." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "806e768c", + "metadata": {}, + "outputs": [], + "source": [ + "categorize_system_prompt = '''\n", + "Your goal is to extract movie categories from movie descriptions, as well as a 1-sentence summary for these movies.\n", + "You will be provided with a movie description, and you will output a json object containing the following information:\n", + "\n", + "{\n", + " categories: string[] // Array of categories based on the movie description,\n", + " summary: string // 1-sentence summary of the movie based on the movie description\n", + "}\n", + "\n", + "Categories refer to the genre or type of the movie, like \"action\", \"romance\", \"comedy\", etc. Keep category names simple and use only lower case letters.\n", + "Movies can have several categories, but try to keep it under 3-4. Only mention the categories that are the most obvious based on the description.\n", + "'''\n", + "\n", + "def get_categories(description):\n", + " response = client.chat.completions.create(\n", + " model=\"gpt-3.5-turbo\",\n", + " temperature=0.1,\n", + " # This is to enable JSON mode, making sure responses are valid json objects\n", + " response_format={ \n", + " \"type\": \"json_object\"\n", + " },\n", + " messages=[\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": categorize_system_prompt\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": description\n", + " }\n", + " ],\n", + " )\n", + "\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "4d079c56", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TITLE: The Shawshank Redemption\n", + "OVERVIEW: Two imprisoned men bond over a number of years, finding solace and eventual redemption through acts of common decency.\n", + "\n", + "RESULT: {\n", + " \"categories\": [\"drama\"],\n", + " \"summary\": \"Two imprisoned men bond over the years and find redemption through acts of common decency.\"\n", + "}\n", + "\n", + "\n", + "----------------------------\n", + "\n", + "\n", + "TITLE: The Godfather\n", + "OVERVIEW: An organized crime dynasty's aging patriarch transfers control of his clandestine empire to his reluctant son.\n", + "\n", + "RESULT: {\n", + " \"categories\": [\"crime\", \"drama\"],\n", + " \"summary\": \"A crime drama about an aging patriarch passing on his empire to his son.\"\n", + "}\n", + "\n", + "\n", + "----------------------------\n", + "\n", + "\n", + "TITLE: The Dark Knight\n", + "OVERVIEW: When the menace known as the Joker wreaks havoc and chaos on the people of Gotham, Batman must accept one of the greatest psychological and physical tests of his ability to fight injustice.\n", + "\n", + "RESULT: {\n", + " \"categories\": [\"action\", \"thriller\"],\n", + " \"summary\": \"A thrilling action movie where Batman faces the chaotic Joker in a battle of justice.\"\n", + "}\n", + "\n", + "\n", + "----------------------------\n", + "\n", + "\n", + "TITLE: The Godfather: Part II\n", + "OVERVIEW: The early life and career of Vito Corleone in 1920s New York City is portrayed, while his son, Michael, expands and tightens his grip on the family crime syndicate.\n", + "\n", + "RESULT: {\n", + " \"categories\": [\"crime\", \"drama\"],\n", + " \"summary\": \"A portrayal of Vito Corleone's early life and career in 1920s New York City, as his son Michael expands the family crime syndicate.\"\n", + "}\n", + "\n", + "\n", + "----------------------------\n", + "\n", + "\n", + "TITLE: 12 Angry Men\n", + "OVERVIEW: A jury holdout attempts to prevent a miscarriage of justice by forcing his colleagues to reconsider the evidence.\n", + "\n", + "RESULT: {\n", + " \"categories\": [\"drama\"],\n", + " \"summary\": \"A gripping drama about a jury holdout trying to prevent a miscarriage of justice by challenging his colleagues to reconsider the evidence.\"\n", + "}\n", + "\n", + "\n", + "----------------------------\n", + "\n", + "\n" + ] + } + ], + "source": [ + "# Testing on a few examples\n", + "for _, row in df[:5].iterrows():\n", + " description = row['Overview']\n", + " title = row['Series_Title']\n", + " result = get_categories(description)\n", + " print(f\"TITLE: {title}\\nOVERVIEW: {description}\\n\\nRESULT: {result}\")\n", + " print(\"\\n\\n----------------------------\\n\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "a89a6709", + "metadata": {}, + "source": [ + "### Creating the batch file\n", + "\n", + "The batch file, in the `jsonl` format, should contain one line (json object) per request.\n", + "Each request is defined as such:\n", + "\n", + "```\n", + "{\n", + " \"custom_id\": ,\n", + " \"method\": \"POST\",\n", + " \"url\": \"/v1/chat/completions\",\n", + " \"body\": {\n", + " \"model\": ,\n", + " \"messages\": ,\n", + " // other parameters\n", + " }\n", + "}\n", + "```\n", + "\n", + "Note: the request ID should be unique per batch. This is what you can use to match results to the initial input files, as requests will not be returned in the same order." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "81e37981", + "metadata": {}, + "outputs": [], + "source": [ + "# Creating an array of json tasks\n", + "\n", + "tasks = []\n", + "\n", + "for index, row in df.iterrows():\n", + " \n", + " description = row['Overview']\n", + " \n", + " task = {\n", + " \"custom_id\": f\"task-{index}\",\n", + " \"method\": \"POST\",\n", + " \"url\": \"/v1/chat/completions\",\n", + " \"body\": {\n", + " # This is what you would have in your Chat Completions API call\n", + " \"model\": \"gpt-3.5-turbo\",\n", + " \"temperature\": 0.1,\n", + " \"response_format\": { \n", + " \"type\": \"json_object\"\n", + " },\n", + " \"messages\": [\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": categorize_system_prompt\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": description\n", + " }\n", + " ],\n", + " }\n", + " }\n", + " \n", + " tasks.append(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "257e2eda", + "metadata": {}, + "outputs": [], + "source": [ + "# Creating the file\n", + "\n", + "file_name = \"data/batch_tasks_movies.jsonl\"\n", + "\n", + "with open(file_name, 'w') as file:\n", + " for obj in tasks:\n", + " file.write(json.dumps(obj) + '\\n')" + ] + }, + { + "cell_type": "markdown", + "id": "c6b490cd", + "metadata": {}, + "source": [ + "### Uploading the file" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "40ea90dd", + "metadata": {}, + "outputs": [], + "source": [ + "batch_file = client.files.create(\n", + " file=open(file_name, \"rb\"),\n", + " purpose=\"batch\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "081f602f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FileObject(id='file-nG1JDPSMRMinN8FOdaL30kVD', bytes=1127310, created_at=1714045723, filename='batch_tasks_movies.jsonl', object='file', purpose='batch', status='processed', status_details=None)\n" + ] + } + ], + "source": [ + "print(batch_file)" + ] + }, + { + "cell_type": "markdown", + "id": "f8ef8ab5", + "metadata": {}, + "source": [ + "### Creating the batch job" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "4db403a3", + "metadata": {}, + "outputs": [], + "source": [ + "batch_job = client.batches.create(\n", + " input_file_id=batch_file.id,\n", + " endpoint=\"/v1/chat/completions\",\n", + " completion_window=\"24h\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "f7ca66c6", + "metadata": {}, + "source": [ + "### Checking batch status\n", + "\n", + "Note: this can take up to 24h, but it will usually be completed faster.\n", + "\n", + "You can continue checking until the status is 'completed'." + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "6105d809", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Batch(id='batch_xU74ytOBYUpaUQE3Cwi8SCbA', completion_window='24h', created_at=1714049780, endpoint='/v1/chat/completions', input_file_id='file-6y0JPmkHU42qtaEK8x8ZYzkp', object='batch', status='completed', cancelled_at=None, cancelling_at=None, completed_at=1714049914, error_file_id=None, errors=None, expired_at=None, expires_at=1714136180, failed_at=None, finalizing_at=1714049896, in_progress_at=1714049821, metadata=None, output_file_id='file-XPfkEFZSaM4Avps7mcD3i8BY', request_counts=BatchRequestCounts(completed=312, failed=0, total=312))\n" + ] + } + ], + "source": [ + "batch_job = client.batches.retrieve(batch_job.id)\n", + "print(batch_job)" + ] + }, + { + "cell_type": "markdown", + "id": "6988fb64", + "metadata": {}, + "source": [ + "### Retrieving results" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "682c38d5", + "metadata": {}, + "outputs": [], + "source": [ + "result_file_id = batch_job.output_file_id\n", + "result = client.files.content(result_file_id).content" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "52840df9", + "metadata": {}, + "outputs": [], + "source": [ + "result_file_name = \"data/batch_job_results_movies.jsonl\"\n", + "\n", + "with open(result_file_name, 'wb') as file:\n", + " file.write(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "f11b7d19", + "metadata": {}, + "outputs": [], + "source": [ + "# Loading data from saved file\n", + "results = []\n", + "with open(result_file_name, 'r') as file:\n", + " for line in file:\n", + " # Parsing the JSON string into a dict and appending to the list of results\n", + " json_object = json.loads(line.strip())\n", + " results.append(json_object)" + ] + }, + { + "cell_type": "markdown", + "id": "a2bafff8", + "metadata": {}, + "source": [ + "### Reading results\n", + "Reminder: the results are not in the same order as in the input file.\n", + "Make sure to check the custom_id to match the results against the input requests" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "004c12d3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TITLE: American Psycho\n", + "OVERVIEW: A wealthy New York City investment banking executive, Patrick Bateman, hides his alternate psychopathic ego from his co-workers and friends as he delves deeper into his violent, hedonistic fantasies.\n", + "\n", + "RESULT: {\n", + " \"categories\": [\"thriller\", \"psychological\", \"drama\"],\n", + " \"summary\": \"A wealthy investment banker in New York City conceals his psychopathic alter ego while indulging in violent and hedonistic fantasies.\"\n", + "}\n", + "\n", + "\n", + "----------------------------\n", + "\n", + "\n", + "TITLE: Lethal Weapon\n", + "OVERVIEW: Two newly paired cops who are complete opposites must put aside their differences in order to catch a gang of drug smugglers.\n", + "\n", + "RESULT: {\n", + " \"categories\": [\"action\", \"comedy\", \"crime\"],\n", + " \"summary\": \"An action-packed comedy about two mismatched cops teaming up to take down a drug smuggling gang.\"\n", + "}\n", + "\n", + "\n", + "----------------------------\n", + "\n", + "\n", + "TITLE: A Star Is Born\n", + "OVERVIEW: A musician helps a young singer find fame as age and alcoholism send his own career into a downward spiral.\n", + "\n", + "RESULT: {\n", + " \"categories\": [\"drama\", \"music\"],\n", + " \"summary\": \"A musician's career spirals downward as he helps a young singer find fame amidst struggles with age and alcoholism.\"\n", + "}\n", + "\n", + "\n", + "----------------------------\n", + "\n", + "\n", + "TITLE: From Here to Eternity\n", + "OVERVIEW: In Hawaii in 1941, a private is cruelly punished for not boxing on his unit's team, while his captain's wife and second-in-command are falling in love.\n", + "\n", + "RESULT: {\n", + " \"categories\": [\"drama\", \"romance\", \"war\"],\n", + " \"summary\": \"A drama set in Hawaii in 1941, where a private faces punishment for not boxing on his unit's team, amidst a forbidden love affair between his captain's wife and second-in-command.\"\n", + "}\n", + "\n", + "\n", + "----------------------------\n", + "\n", + "\n", + "TITLE: The Jungle Book\n", + "OVERVIEW: Bagheera the Panther and Baloo the Bear have a difficult time trying to convince a boy to leave the jungle for human civilization.\n", + "\n", + "RESULT: {\n", + " \"categories\": [\"adventure\", \"animation\", \"family\"],\n", + " \"summary\": \"An adventure-filled animated movie about a panther and a bear trying to persuade a boy to leave the jungle for human civilization.\"\n", + "}\n", + "\n", + "\n", + "----------------------------\n", + "\n", + "\n" + ] + } + ], + "source": [ + "# Reading only the first results\n", + "for res in results[:5]:\n", + " task_id = res['custom_id']\n", + " # Getting index from task id\n", + " index = task_id.split('-')[-1]\n", + " result = res['response']['body']['choices'][0]['message']['content']\n", + " movie = df.iloc[int(index)]\n", + " description = movie['Overview']\n", + " title = movie['Series_Title']\n", + " print(f\"TITLE: {title}\\nOVERVIEW: {description}\\n\\nRESULT: {result}\")\n", + " print(\"\\n\\n----------------------------\\n\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "da4238f5", + "metadata": {}, + "source": [ + "## Second example: Captioning images\n", + "\n", + "In this example, we will use `gpt-4-turbo` to caption images of furniture items. \n", + "\n", + "We will use the vision capabilities of the model to analyze the images and generate the captions." + ] + }, + { + "cell_type": "markdown", + "id": "5d20e638", + "metadata": {}, + "source": [ + "### Loading data\n", + "\n", + "We will use the Amazon furniture dataset for this example." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "079d21e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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JOIN IRON Store $89.99 \n", + "\n", + " availability \\\n", + "0 Only 13 left in stock - order soon. \n", + "1 NaN \n", + "2 In Stock \n", + "3 Only 10 left in stock - order soon. \n", + "4 Usually ships within 5 to 6 weeks \n", + "\n", + " categories \\\n", + "0 ['Home & Kitchen', 'Storage & Organization', '... \n", + "1 ['Home & Kitchen', 'Furniture', 'Dining Room F... \n", + "2 ['Patio, Lawn & Garden', 'Outdoor Décor', 'Doo... \n", + "3 ['Patio, Lawn & Garden', 'Outdoor Décor', 'Doo... \n", + "4 ['Home & Kitchen', 'Furniture', 'Game & Recrea... \n", + "\n", + " primary_image \\\n", + "0 https://m.media-amazon.com/images/I/416WaLx10j... \n", + "1 https://m.media-amazon.com/images/I/31SejUEWY7... \n", + "2 https://m.media-amazon.com/images/I/41RgefVq70... \n", + "3 https://m.media-amazon.com/images/I/61vz1Igler... \n", + "4 https://m.media-amazon.com/images/I/41p4d4VJnN... \n", + "\n", + " images upc ... color \\\n", + "0 ['https://m.media-amazon.com/images/I/416WaLx1... NaN ... White \n", + "1 ['https://m.media-amazon.com/images/I/31SejUEW... NaN ... Black \n", + "2 ['https://m.media-amazon.com/images/I/41RgefVq... NaN ... Green \n", + "3 ['https://m.media-amazon.com/images/I/61vz1Igl... NaN ... A5589 \n", + "4 ['https://m.media-amazon.com/images/I/41p4d4VJ... NaN ... Grey Set of 4 \n", + "\n", + " material style important_information \\\n", + "0 Metal Modern [] \n", + "1 Sponge Black Rubber Wood [] \n", + "2 Polyethylene Modern [] \n", + "3 Rubber Modern [] \n", + "4 Iron X Classic Style [] \n", + "\n", + " product_overview \\\n", + "0 [{'Brand': ' GOYMFK '}, {'Color': ' White '}, ... \n", + "1 NaN \n", + "2 [{'Brand': ' MUYETOL '}, {'Size': ' 26.8*26.8 ... \n", + "3 [{'Brand': ' VEWETOL '}, {'Size': ' 16*24INCH ... \n", + "4 NaN \n", + "\n", + " about_item \\\n", + "0 ['Multiple layers: Provides ample storage spac... \n", + "1 ['【Easy Assembly】: Set of 2 dining room chairs... \n", + "2 ['PLANT REPOTTING MAT SIZE: 26.8\" x 26.8\", squ... \n", + "3 ['Specifications: 16x24 Inch ', \" High-Quality... \n", + "4 ['Includes 4 Folding Tv Tray Tables And one Co... \n", + "\n", + " description \\\n", + "0 multiple shoes, coats, hats, and other items E... \n", + "1 subrtex Dining chairs Set of 2 \n", + "2 NaN \n", + "3 The decorative doormat features a subtle textu... \n", + "4 Set of Four Folding Trays With Matching Storag... \n", + "\n", + " specifications \\\n", + "0 ['Brand: GOYMFK', 'Color: White', 'Material: M... \n", + "1 ['Brand: subrtex', 'Color: Black', 'Product Di... \n", + "2 ['Brand: MUYETOL', 'Size: 26.8*26.8', 'Item We... \n", + "3 ['Brand: VEWETOL', 'Size: 16*24INCH', 'Materia... \n", + "4 ['Brand: JOIN IRON', 'Shape: Rectangular', 'In... \n", + "\n", + " uniq_id scraped_at \n", + "0 02593e81-5c09-5069-8516-b0b29f439ded 2024-02-02 15:15:08 \n", + "1 5938d217-b8c5-5d3e-b1cf-e28e340f292e 2024-02-02 15:15:09 \n", + "2 b2ede786-3f51-5a45-9a5b-bcf856958cd8 2024-02-02 15:15:09 \n", + "3 8fd9377b-cfa6-5f10-835c-6b8eca2816b5 2024-02-02 15:15:10 \n", + "4 bdc9aa30-9439-50dc-8e89-213ea211d66a 2024-02-02 15:15:11 \n", + "\n", + "[5 rows x 25 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dataset_path = \"data/amazon_furniture_dataset.csv\"\n", + "df = pd.read_csv(dataset_path)\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "f48ba962", + "metadata": {}, + "source": [ + "### Processing step \n", + "\n", + "Again, we will first prepare our requests with the Chat Completions endpoint, and create the batch file afterwards." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "918fd79f", + "metadata": {}, + "outputs": [], + "source": [ + "caption_system_prompt = '''\n", + "Your goal is to generate short, descriptive captions for images of items.\n", + "You will be provided with an item image and the name of that item and you will output a caption that captures the most important information about the item.\n", + "If there are multiple items depicted, refer to the name provided to understand which item you should describe.\n", + "Your generated caption should be short (1 sentence), and include only the most important information about the item.\n", + "The most important information could be: the type of item, the style (if mentioned), the material or color if especially relevant and/or any distinctive features.\n", + "Keep it short and to the point.\n", + "'''\n", + "\n", + "def get_caption(img_url, title):\n", + " response = client.chat.completions.create(\n", + " model=\"gpt-4-turbo\",\n", + " temperature=0.2,\n", + " max_tokens=300,\n", + " messages=[\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": caption_system_prompt\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\n", + " \"type\": \"text\",\n", + " \"text\": title\n", + " },\n", + " # The content type should be \"image_url\" to use gpt-4-turbo's vision capabilities\n", + " {\n", + " \"type\": \"image_url\",\n", + " \"image_url\": {\n", + " \"url\": img_url\n", + " }\n", + " },\n", + " ],\n", + " }\n", + " ]\n", + " )\n", + "\n", + " return response.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "1daac93d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CAPTION: White multi-layer metal shoe rack featuring eight double hooks for hanging accessories, ideal for organizing footwear and small items in living spaces.\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CAPTION: A set of two elegant black leather dining chairs with a sleek design and vertical stitching detail on the backrest.\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CAPTION: A green, waterproof, square, foldable repotting mat designed for indoor gardening, featuring raised edges and displayed with gardening tools and small potted plants.\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CAPTION: A brown, absorbent non-slip doormat featuring the phrase \"It's a good day to play PICKLEBALL\" with a pickleball paddle graphic, ideal for sports enthusiasts.\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CAPTION: Set of four foldable grey TV trays with a stand, featuring a sleek, space-saving design suitable for small areas.\n", + "\n", + "\n" + ] + } + ], + "source": [ + "# Testing on a few images\n", + "for _, row in df[:5].iterrows():\n", + " img_url = row['primary_image']\n", + " caption = get_caption(img_url, row['title'])\n", + " img = Image(url=img_url)\n", + " display(img)\n", + " print(f\"CAPTION: {caption}\\n\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "c1e75078", + "metadata": {}, + "source": [ + "### Creating the batch job\n", + "\n", + "As with the first example, we will create an array of json tasks to generate a `jsonl` file and use it to create the batch job." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "48e59bb1", + "metadata": {}, + "outputs": [], + "source": [ + "# Creating an array of json tasks\n", + "\n", + "tasks = []\n", + "\n", + "for index, row in df.iterrows():\n", + " \n", + " title = row['title']\n", + " img_url = row['primary_image']\n", + " \n", + " task = {\n", + " \"custom_id\": f\"task-{index}\",\n", + " \"method\": \"POST\",\n", + " \"url\": \"/v1/chat/completions\",\n", + " \"body\": {\n", + " # This is what you would have in your Chat Completions API call\n", + " \"model\": \"gpt-4-turbo\",\n", + " \"temperature\": 0.2,\n", + " \"max_tokens\": 300,\n", + " \"messages\": [\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": caption_system_prompt\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\n", + " \"type\": \"text\",\n", + " \"text\": title\n", + " },\n", + " {\n", + " \"type\": \"image_url\",\n", + " \"image_url\": {\n", + " \"url\": img_url\n", + " }\n", + " },\n", + " ],\n", + " }\n", + " ] \n", + " }\n", + " }\n", + " \n", + " tasks.append(task)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "e75193f2", + "metadata": {}, + "outputs": [], + "source": [ + "# Creating the file\n", + "\n", + "file_name = \"data/batch_tasks_furniture.jsonl\"\n", + "\n", + "with open(file_name, 'w') as file:\n", + " for obj in tasks:\n", + " file.write(json.dumps(obj) + '\\n')" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "f2bc166a", + "metadata": {}, + "outputs": [], + "source": [ + "# Uploading the file \n", + "\n", + "batch_file = client.files.create(\n", + " file=open(file_name, \"rb\"),\n", + " purpose=\"batch\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "0d7d7ec9", + "metadata": {}, + "outputs": [], + "source": [ + "# Creating the job\n", + "\n", + "batch_job = client.batches.create(\n", + " input_file_id=batch_file.id,\n", + " endpoint=\"/v1/chat/completions\",\n", + " completion_window=\"24h\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "53456a08", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Batch(id='batch_xU74ytOBYUpaUQE3Cwi8SCbA', completion_window='24h', created_at=1714049780, endpoint='/v1/chat/completions', input_file_id='file-6y0JPmkHU42qtaEK8x8ZYzkp', object='batch', status='completed', cancelled_at=None, cancelling_at=None, completed_at=1714049914, error_file_id=None, errors=None, expired_at=None, expires_at=1714136180, failed_at=None, finalizing_at=1714049896, in_progress_at=1714049821, metadata=None, output_file_id='file-XPfkEFZSaM4Avps7mcD3i8BY', request_counts=BatchRequestCounts(completed=312, failed=0, total=312))\n" + ] + } + ], + "source": [ + "batch_job = client.batches.retrieve(batch_job.id)\n", + "print(batch_job)" + ] + }, + { + "cell_type": "markdown", + "id": "45ce15d7", + "metadata": {}, + "source": [ + "### Getting results\n", + "\n", + "As with the first example, we can retrieve results once the batch job is done.\n", + "\n", + "Reminder: the results are not in the same order as in the input file.\n", + "Make sure to check the custom_id to match the results against the input requests" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "05db39f3", + "metadata": {}, + "outputs": [], + "source": [ + "# Retrieving result file\n", + "\n", + "result_file_id = batch_job.output_file_id\n", + "result = client.files.content(result_file_id).content" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "a15fbb54", + "metadata": {}, + "outputs": [], + "source": [ + "result_file_name = \"data/batch_job_results_furniture.jsonl\"\n", + "\n", + "with open(result_file_name, 'wb') as file:\n", + " file.write(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "beabfdcd", + "metadata": {}, + "outputs": [], + "source": [ + "# Loading data from saved file\n", + "\n", + "results = []\n", + "with open(result_file_name, 'r') as file:\n", + " for line in file:\n", + " # Parsing the JSON string into a dict and appending to the list of results\n", + " json_object = json.loads(line.strip())\n", + " results.append(json_object)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "ad54ffee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CAPTION: Brushed brass pedestal towel rack with a sleek, modern design, featuring multiple bars for hanging towels, measuring 25.75 x 14.44 x 32 inches.\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CAPTION: Black round end table featuring a tempered glass top and a metal frame, with a lower shelf for additional storage.\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CAPTION: Black collapsible and height-adjustable telescoping stool, portable and designed for makeup artists and hairstylists, shown in various stages of folding for easy transport.\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CAPTION: Ergonomic pink gaming chair featuring breathable fabric, adjustable height, lumbar support, a footrest, and a swivel recliner function.\n", + "\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CAPTION: A set of two Glitzhome adjustable bar stools featuring a mid-century modern design with swivel seats, PU leather upholstery, and wooden backrests.\n", + "\n", + "\n" + ] + } + ], + "source": [ + "# Reading only the first results\n", + "for res in results[:5]:\n", + " task_id = res['custom_id']\n", + " # Getting index from task id\n", + " index = task_id.split('-')[-1]\n", + " result = res['response']['body']['choices'][0]['message']['content']\n", + " item = df.iloc[int(index)]\n", + " img_url = item['primary_image']\n", + " img = Image(url=img_url)\n", + " display(img)\n", + " print(f\"CAPTION: {result}\\n\\n\")" + ] + }, + { + "cell_type": "markdown", + "id": "f6603e8f", + "metadata": {}, + "source": [ + "## Wrapping up\n", + "\n", + "In this cookbook, we have seen two examples of how to use the new Batch API, but keep in mind that the Batch API works the same way as the Chat Completions endpoint, supporting the same parameters and most of the recent models (gpt-3.5-turbo, gpt-4, gpt-4-vision-preview, gpt-4-turbo...).\n", + "\n", + "By using this API, you can significantly reduce costs, so we recommend switching every workload that can happen async to a batch job with this new API." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/data/imdb_top_1000.csv b/examples/data/imdb_top_1000.csv new file mode 100644 index 0000000..3200949 --- /dev/null +++ b/examples/data/imdb_top_1000.csv @@ -0,0 +1,1001 @@ +Poster_Link,Series_Title,Released_Year,Certificate,Runtime,Genre,IMDB_Rating,Overview,Meta_score,Director,Star1,Star2,Star3,Star4,No_of_Votes,Gross +"https://m.media-amazon.com/images/M/MV5BMDFkYTc0MGEtZmNhMC00ZDIzLWFmNTEtODM1ZmRlYWMwMWFmXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",The Shawshank Redemption,1994,A,142 min,Drama,9.3,"Two imprisoned men bond over a number of years, finding solace and eventual redemption through acts of common decency.",80,Frank Darabont,Tim Robbins,Morgan Freeman,Bob Gunton,William Sadler,2343110,"28,341,469" +"https://m.media-amazon.com/images/M/MV5BM2MyNjYxNmUtYTAwNi00MTYxLWJmNWYtYzZlODY3ZTk3OTFlXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg",The Godfather,1972,A,175 min,"Crime, Drama",9.2,An organized crime dynasty's aging patriarch transfers control of his clandestine empire to his reluctant son.,100,Francis Ford Coppola,Marlon Brando,Al Pacino,James Caan,Diane Keaton,1620367,"134,966,411" +"https://m.media-amazon.com/images/M/MV5BMTMxNTMwODM0NF5BMl5BanBnXkFtZTcwODAyMTk2Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Dark Knight,2008,UA,152 min,"Action, Crime, Drama",9,"When the menace known as the Joker wreaks havoc and chaos on the people of Gotham, Batman must accept one of the greatest psychological and physical tests of his ability to fight injustice.",84,Christopher Nolan,Christian Bale,Heath Ledger,Aaron Eckhart,Michael Caine,2303232,"534,858,444" +"https://m.media-amazon.com/images/M/MV5BMWMwMGQzZTItY2JlNC00OWZiLWIyMDctNDk2ZDQ2YjRjMWQ0XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg",The Godfather: Part II,1974,A,202 min,"Crime, Drama",9,"The early life and career of Vito Corleone in 1920s New York City is portrayed, while his son, Michael, expands and tightens his grip on the family crime syndicate.",90,Francis Ford Coppola,Al Pacino,Robert De Niro,Robert Duvall,Diane Keaton,1129952,"57,300,000" +"https://m.media-amazon.com/images/M/MV5BMWU4N2FjNzYtNTVkNC00NzQ0LTg0MjAtYTJlMjFhNGUxZDFmXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",12 Angry Men,1957,U,96 min,"Crime, Drama",9,A jury holdout attempts to prevent a miscarriage of justice by forcing his colleagues to reconsider the evidence.,96,Sidney Lumet,Henry Fonda,Lee J. Cobb,Martin Balsam,John Fiedler,689845,"4,360,000" +"https://m.media-amazon.com/images/M/MV5BNzA5ZDNlZWMtM2NhNS00NDJjLTk4NDItYTRmY2EwMWZlMTY3XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Lord of the Rings: The Return of the King,2003,U,201 min,"Action, Adventure, Drama",8.9,Gandalf and Aragorn lead the World of Men against Sauron's army to draw his gaze from Frodo and Sam as they approach Mount Doom with the One Ring.,94,Peter Jackson,Elijah Wood,Viggo Mortensen,Ian McKellen,Orlando Bloom,1642758,"377,845,905" +"https://m.media-amazon.com/images/M/MV5BNGNhMDIzZTUtNTBlZi00MTRlLWFjM2ItYzViMjE3YzI5MjljXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR0,0,67,98_AL_.jpg",Pulp Fiction,1994,A,154 min,"Crime, Drama",8.9,"The lives of two mob hitmen, a boxer, a gangster and his wife, and a pair of diner bandits intertwine in four tales of violence and redemption.",94,Quentin Tarantino,John Travolta,Uma Thurman,Samuel L. Jackson,Bruce Willis,1826188,"107,928,762" +"https://m.media-amazon.com/images/M/MV5BNDE4OTMxMTctNmRhYy00NWE2LTg3YzItYTk3M2UwOTU5Njg4XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Schindler's List,1993,A,195 min,"Biography, Drama, History",8.9,"In German-occupied Poland during World War II, industrialist Oskar Schindler gradually becomes concerned for his Jewish workforce after witnessing their persecution by the Nazis.",94,Steven Spielberg,Liam Neeson,Ralph Fiennes,Ben Kingsley,Caroline Goodall,1213505,"96,898,818" +"https://m.media-amazon.com/images/M/MV5BMjAxMzY3NjcxNF5BMl5BanBnXkFtZTcwNTI5OTM0Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Inception,2010,UA,148 min,"Action, Adventure, Sci-Fi",8.8,A thief who steals corporate secrets through the use of dream-sharing technology is given the inverse task of planting an idea into the mind of a C.E.O.,74,Christopher Nolan,Leonardo DiCaprio,Joseph Gordon-Levitt,Elliot Page,Ken Watanabe,2067042,"292,576,195" +"https://m.media-amazon.com/images/M/MV5BMmEzNTkxYjQtZTc0MC00YTVjLTg5ZTEtZWMwOWVlYzY0NWIwXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Fight Club,1999,A,139 min,Drama,8.8,"An insomniac office worker and a devil-may-care soapmaker form an underground fight club that evolves into something much, much more.",66,David Fincher,Brad Pitt,Edward Norton,Meat Loaf,Zach Grenier,1854740,"37,030,102" +"https://m.media-amazon.com/images/M/MV5BN2EyZjM3NzUtNWUzMi00MTgxLWI0NTctMzY4M2VlOTdjZWRiXkEyXkFqcGdeQXVyNDUzOTQ5MjY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Lord of the Rings: The Fellowship of the Ring,2001,U,178 min,"Action, Adventure, Drama",8.8,A meek Hobbit from the Shire and eight companions set out on a journey to destroy the powerful One Ring and save Middle-earth from the Dark Lord Sauron.,92,Peter Jackson,Elijah Wood,Ian McKellen,Orlando Bloom,Sean Bean,1661481,"315,544,750" +"https://m.media-amazon.com/images/M/MV5BNWIwODRlZTUtY2U3ZS00Yzg1LWJhNzYtMmZiYmEyNmU1NjMzXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UY98_CR0,0,67,98_AL_.jpg",Forrest Gump,1994,UA,142 min,"Drama, Romance",8.8,"The presidencies of Kennedy and Johnson, the events of Vietnam, Watergate and other historical events unfold through the perspective of an Alabama man with an IQ of 75, whose only desire is to be reunited with his childhood sweetheart.",82,Robert Zemeckis,Tom Hanks,Robin Wright,Gary Sinise,Sally Field,1809221,"330,252,182" +"https://m.media-amazon.com/images/M/MV5BOTQ5NDI3MTI4MF5BMl5BanBnXkFtZTgwNDQ4ODE5MDE@._V1_UX67_CR0,0,67,98_AL_.jpg","Il buono, il brutto, il cattivo",1966,A,161 min,Western,8.8,A bounty hunting scam joins two men in an uneasy alliance against a third in a race to find a fortune in gold buried in a remote cemetery.,90,Sergio Leone,Clint Eastwood,Eli Wallach,Lee Van Cleef,Aldo Giuffrè,688390,"6,100,000" +"https://m.media-amazon.com/images/M/MV5BZGMxZTdjZmYtMmE2Ni00ZTdkLWI5NTgtNjlmMjBiNzU2MmI5XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Lord of the Rings: The Two Towers,2002,UA,179 min,"Action, Adventure, Drama",8.7,"While Frodo and Sam edge closer to Mordor with the help of the shifty Gollum, the divided fellowship makes a stand against Sauron's new ally, Saruman, and his hordes of Isengard.",87,Peter Jackson,Elijah Wood,Ian McKellen,Viggo Mortensen,Orlando Bloom,1485555,"342,551,365" +"https://m.media-amazon.com/images/M/MV5BNzQzOTk3OTAtNDQ0Zi00ZTVkLWI0MTEtMDllZjNkYzNjNTc4L2ltYWdlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Matrix,1999,A,136 min,"Action, Sci-Fi",8.7,"When a beautiful stranger leads computer hacker Neo to a forbidding underworld, he discovers the shocking truth--the life he knows is the elaborate deception of an evil cyber-intelligence.",73,Lana Wachowski,Lilly Wachowski,Keanu Reeves,Laurence Fishburne,Carrie-Anne Moss,1676426,"171,479,930" +"https://m.media-amazon.com/images/M/MV5BY2NkZjEzMDgtN2RjYy00YzM1LWI4ZmQtMjIwYjFjNmI3ZGEwXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Goodfellas,1990,A,146 min,"Biography, Crime, Drama",8.7,"The story of Henry Hill and his life in the mob, covering his relationship with his wife Karen Hill and his mob partners Jimmy Conway and Tommy DeVito in the Italian-American crime syndicate.",90,Martin Scorsese,Robert De Niro,Ray Liotta,Joe Pesci,Lorraine Bracco,1020727,"46,836,394" +"https://m.media-amazon.com/images/M/MV5BYmU1NDRjNDgtMzhiMi00NjZmLTg5NGItZDNiZjU5NTU4OTE0XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Star Wars: Episode V - The Empire Strikes Back,1980,UA,124 min,"Action, Adventure, Fantasy",8.7,"After the Rebels are brutally overpowered by the Empire on the ice planet Hoth, Luke Skywalker begins Jedi training with Yoda, while his friends are pursued by Darth Vader and a bounty hunter named Boba Fett all over the galaxy.",82,Irvin Kershner,Mark Hamill,Harrison Ford,Carrie Fisher,Billy Dee Williams,1159315,"290,475,067" +"https://m.media-amazon.com/images/M/MV5BZjA0OWVhOTAtYWQxNi00YzNhLWI4ZjYtNjFjZTEyYjJlNDVlL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",One Flew Over the Cuckoo's Nest,1975,A,133 min,Drama,8.7,"A criminal pleads insanity and is admitted to a mental institution, where he rebels against the oppressive nurse and rallies up the scared patients.",83,Milos Forman,Jack Nicholson,Louise Fletcher,Michael Berryman,Peter Brocco,918088,"112,000,000" +"https://m.media-amazon.com/images/M/MV5BNjViNWRjYWEtZTI0NC00N2E3LTk0NGQtMjY4NTM3OGNkZjY0XkEyXkFqcGdeQXVyMjUxMTY3ODM@._V1_UX67_CR0,0,67,98_AL_.jpg",Hamilton,2020,PG-13,160 min,"Biography, Drama, History",8.6,"The real life of one of America's foremost founding fathers and first Secretary of the Treasury, Alexander Hamilton. Captured live on Broadway from the Richard Rodgers Theater with the original Broadway cast.",90,Thomas Kail,Lin-Manuel Miranda,Phillipa Soo,Leslie Odom Jr.,Renée Elise Goldsberry,55291, +"https://m.media-amazon.com/images/M/MV5BYWZjMjk3ZTItODQ2ZC00NTY5LWE0ZDYtZTI3MjcwN2Q5NTVkXkEyXkFqcGdeQXVyODk4OTc3MTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Gisaengchung,2019,A,132 min,"Comedy, Drama, Thriller",8.6,Greed and class discrimination threaten the newly formed symbiotic relationship between the wealthy Park family and the destitute Kim clan.,96,Bong Joon Ho,Kang-ho Song,Lee Sun-kyun,Cho Yeo-jeong,Choi Woo-sik,552778,"53,367,844" +"https://m.media-amazon.com/images/M/MV5BOTc2ZTlmYmItMDBhYS00YmMzLWI4ZjAtMTI5YTBjOTFiMGEwXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR0,0,67,98_AL_.jpg",Soorarai Pottru,2020,U,153 min,Drama,8.6,"Nedumaaran Rajangam ""Maara"" sets out to make the common man fly and in the process takes on the world's most capital intensive industry and several enemies who stand in his way.",,Sudha Kongara,Suriya,Madhavan,Paresh Rawal,Aparna Balamurali,54995, +"https://m.media-amazon.com/images/M/MV5BZjdkOTU3MDktN2IxOS00OGEyLWFmMjktY2FiMmZkNWIyODZiXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Interstellar,2014,UA,169 min,"Adventure, Drama, Sci-Fi",8.6,A team of explorers travel through a wormhole in space in an attempt to ensure humanity's survival.,74,Christopher Nolan,Matthew McConaughey,Anne Hathaway,Jessica Chastain,Mackenzie Foy,1512360,"188,020,017" +"https://m.media-amazon.com/images/M/MV5BOTMwYjc5ZmItYTFjZC00ZGQ3LTlkNTMtMjZiNTZlMWQzNzI5XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Cidade de Deus,2002,A,130 min,"Crime, Drama",8.6,"In the slums of Rio, two kids' paths diverge as one struggles to become a photographer and the other a kingpin.",79,Fernando Meirelles,Kátia Lund,Alexandre Rodrigues,Leandro Firmino,Matheus Nachtergaele,699256,"7,563,397" +"https://m.media-amazon.com/images/M/MV5BMjlmZmI5MDctNDE2YS00YWE0LWE5ZWItZDBhYWQ0NTcxNWRhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Sen to Chihiro no kamikakushi,2001,U,125 min,"Animation, Adventure, Family",8.6,"During her family's move to the suburbs, a sullen 10-year-old girl wanders into a world ruled by gods, witches, and spirits, and where humans are changed into beasts.",96,Hayao Miyazaki,Daveigh Chase,Suzanne Pleshette,Miyu Irino,Rumi Hiiragi,651376,"10,055,859" +"https://m.media-amazon.com/images/M/MV5BZjhkMDM4MWItZTVjOC00ZDRhLThmYTAtM2I5NzBmNmNlMzI1XkEyXkFqcGdeQXVyNDYyMDk5MTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Saving Private Ryan,1998,R,169 min,"Drama, War",8.6,"Following the Normandy Landings, a group of U.S. soldiers go behind enemy lines to retrieve a paratrooper whose brothers have been killed in action.",91,Steven Spielberg,Tom Hanks,Matt Damon,Tom Sizemore,Edward Burns,1235804,"216,540,909" +"https://m.media-amazon.com/images/M/MV5BMTUxMzQyNjA5MF5BMl5BanBnXkFtZTYwOTU2NTY3._V1_UX67_CR0,0,67,98_AL_.jpg",The Green Mile,1999,A,189 min,"Crime, Drama, Fantasy",8.6,"The lives of guards on Death Row are affected by one of their charges: a black man accused of child murder and rape, yet who has a mysterious gift.",61,Frank Darabont,Tom Hanks,Michael Clarke Duncan,David Morse,Bonnie Hunt,1147794,"136,801,374" +"https://m.media-amazon.com/images/M/MV5BYmJmM2Q4NmMtYThmNC00ZjRlLWEyZmItZTIwOTBlZDQ3NTQ1XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",La vita è bella,1997,U,116 min,"Comedy, Drama, Romance",8.6,"When an open-minded Jewish librarian and his son become victims of the Holocaust, he uses a perfect mixture of will, humor, and imagination to protect his son from the dangers around their camp.",59,Roberto Benigni,Roberto Benigni,Nicoletta Braschi,Giorgio Cantarini,Giustino Durano,623629,"57,598,247" +"https://m.media-amazon.com/images/M/MV5BOTUwODM5MTctZjczMi00OTk4LTg3NWUtNmVhMTAzNTNjYjcyXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Se7en,1995,A,127 min,"Crime, Drama, Mystery",8.6,"Two detectives, a rookie and a veteran, hunt a serial killer who uses the seven deadly sins as his motives.",65,David Fincher,Morgan Freeman,Brad Pitt,Kevin Spacey,Andrew Kevin Walker,1445096,"100,125,643" +"https://m.media-amazon.com/images/M/MV5BNjNhZTk0ZmEtNjJhMi00YzFlLWE1MmEtYzM1M2ZmMGMwMTU4XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Silence of the Lambs,1991,A,118 min,"Crime, Drama, Thriller",8.6,"A young F.B.I. cadet must receive the help of an incarcerated and manipulative cannibal killer to help catch another serial killer, a madman who skins his victims.",85,Jonathan Demme,Jodie Foster,Anthony Hopkins,Lawrence A. Bonney,Kasi Lemmons,1270197,"130,742,922" +"https://m.media-amazon.com/images/M/MV5BNzVlY2MwMjktM2E4OS00Y2Y3LWE3ZjctYzhkZGM3YzA1ZWM2XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Star Wars,1977,UA,121 min,"Action, Adventure, Fantasy",8.6,"Luke Skywalker joins forces with a Jedi Knight, a cocky pilot, a Wookiee and two droids to save the galaxy from the Empire's world-destroying battle station, while also attempting to rescue Princess Leia from the mysterious Darth Vader.",90,George Lucas,Mark Hamill,Harrison Ford,Carrie Fisher,Alec Guinness,1231473,"322,740,140" +"https://m.media-amazon.com/images/M/MV5BYjBmYTQ1NjItZWU5MS00YjI0LTg2OTYtYmFkN2JkMmNiNWVkXkEyXkFqcGdeQXVyMTMxMTY0OTQ@._V1_UY98_CR2,0,67,98_AL_.jpg",Seppuku,1962,,133 min,"Action, Drama, Mystery",8.6,"When a ronin requesting seppuku at a feudal lord's palace is told of the brutal suicide of another ronin who previously visited, he reveals how their pasts are intertwined - and in doing so challenges the clan's integrity.",85,Masaki Kobayashi,Tatsuya Nakadai,Akira Ishihama,Shima Iwashita,Tetsurô Tanba,42004, +"https://m.media-amazon.com/images/M/MV5BOWE4ZDdhNmMtNzE5ZC00NzExLTlhNGMtY2ZhYjYzODEzODA1XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",Shichinin no samurai,1954,U,207 min,"Action, Adventure, Drama",8.6,A poor village under attack by bandits recruits seven unemployed samurai to help them defend themselves.,98,Akira Kurosawa,Toshirô Mifune,Takashi Shimura,Keiko Tsushima,Yukiko Shimazaki,315744,"269,061" +"https://m.media-amazon.com/images/M/MV5BZjc4NDZhZWMtNGEzYS00ZWU2LThlM2ItNTA0YzQ0OTExMTE2XkEyXkFqcGdeQXVyNjUwMzI2NzU@._V1_UY98_CR0,0,67,98_AL_.jpg",It's a Wonderful Life,1946,PG,130 min,"Drama, Family, Fantasy",8.6,An angel is sent from Heaven to help a desperately frustrated businessman by showing him what life would have been like if he had never existed.,89,Frank Capra,James Stewart,Donna Reed,Lionel Barrymore,Thomas Mitchell,405801, +"https://m.media-amazon.com/images/M/MV5BNGVjNWI4ZGUtNzE0MS00YTJmLWE0ZDctN2ZiYTk2YmI3NTYyXkEyXkFqcGdeQXVyMTkxNjUyNQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Joker,2019,A,122 min,"Crime, Drama, Thriller",8.5,"In Gotham City, mentally troubled comedian Arthur Fleck is disregarded and mistreated by society. He then embarks on a downward spiral of revolution and bloody crime. This path brings him face-to-face with his alter-ego: the Joker.",59,Todd Phillips,Joaquin Phoenix,Robert De Niro,Zazie Beetz,Frances Conroy,939252,"335,451,311" +"https://m.media-amazon.com/images/M/MV5BOTA5NDZlZGUtMjAxOS00YTRkLTkwYmMtYWQ0NWEwZDZiNjEzXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Whiplash,2014,A,106 min,"Drama, Music",8.5,A promising young drummer enrolls at a cut-throat music conservatory where his dreams of greatness are mentored by an instructor who will stop at nothing to realize a student's potential.,88,Damien Chazelle,Miles Teller,J.K. Simmons,Melissa Benoist,Paul Reiser,717585,"13,092,000" +"https://m.media-amazon.com/images/M/MV5BMTYxNDA3MDQwNl5BMl5BanBnXkFtZTcwNTU4Mzc1Nw@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Intouchables,2011,UA,112 min,"Biography, Comedy, Drama",8.5,"After he becomes a quadriplegic from a paragliding accident, an aristocrat hires a young man from the projects to be his caregiver.",57,Olivier Nakache,Éric Toledano,François Cluzet,Omar Sy,Anne Le Ny,760360,"13,182,281" +"https://m.media-amazon.com/images/M/MV5BMjA4NDI0MTIxNF5BMl5BanBnXkFtZTYwNTM0MzY2._V1_UX67_CR0,0,67,98_AL_.jpg",The Prestige,2006,U,130 min,"Drama, Mystery, Sci-Fi",8.5,"After a tragic accident, two stage magicians engage in a battle to create the ultimate illusion while sacrificing everything they have to outwit each other.",66,Christopher Nolan,Christian Bale,Hugh Jackman,Scarlett Johansson,Michael Caine,1190259,"53,089,891" +"https://m.media-amazon.com/images/M/MV5BMTI1MTY2OTIxNV5BMl5BanBnXkFtZTYwNjQ4NjY3._V1_UX67_CR0,0,67,98_AL_.jpg",The Departed,2006,A,151 min,"Crime, Drama, Thriller",8.5,An undercover cop and a mole in the police attempt to identify each other while infiltrating an Irish gang in South Boston.,85,Martin Scorsese,Leonardo DiCaprio,Matt Damon,Jack Nicholson,Mark Wahlberg,1189773,"132,384,315" +"https://m.media-amazon.com/images/M/MV5BOWRiZDIxZjktMTA1NC00MDQ2LWEzMjUtMTliZmY3NjQ3ODJiXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UY98_CR2,0,67,98_AL_.jpg",The Pianist,2002,R,150 min,"Biography, Drama, Music",8.5,A Polish Jewish musician struggles to survive the destruction of the Warsaw ghetto of World War II.,85,Roman Polanski,Adrien Brody,Thomas Kretschmann,Frank Finlay,Emilia Fox,729603,"32,572,577" +"https://m.media-amazon.com/images/M/MV5BMDliMmNhNDEtODUyOS00MjNlLTgxODEtN2U3NzIxMGVkZTA1L2ltYWdlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Gladiator,2000,UA,155 min,"Action, Adventure, Drama",8.5,A former Roman General sets out to exact vengeance against the corrupt emperor who murdered his family and sent him into slavery.,67,Ridley Scott,Russell Crowe,Joaquin Phoenix,Connie Nielsen,Oliver Reed,1341460,"187,705,427" +"https://m.media-amazon.com/images/M/MV5BZjA0MTM4MTQtNzY5MC00NzY3LWI1ZTgtYzcxMjkyMzU4MDZiXkEyXkFqcGdeQXVyNDYyMDk5MTU@._V1_UX67_CR0,0,67,98_AL_.jpg",American History X,1998,R,119 min,Drama,8.5,A former neo-nazi skinhead tries to prevent his younger brother from going down the same wrong path that he did.,62,Tony Kaye,Edward Norton,Edward Furlong,Beverly D'Angelo,Jennifer Lien,1034705,"6,719,864" +"https://m.media-amazon.com/images/M/MV5BYTViNjMyNmUtNDFkNC00ZDRlLThmMDUtZDU2YWE4NGI2ZjVmXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Usual Suspects,1995,A,106 min,"Crime, Mystery, Thriller",8.5,"A sole survivor tells of the twisty events leading up to a horrific gun battle on a boat, which began when five criminals met at a seemingly random police lineup.",77,Bryan Singer,Kevin Spacey,Gabriel Byrne,Chazz Palminteri,Stephen Baldwin,991208,"23,341,568" +"https://m.media-amazon.com/images/M/MV5BODllNWE0MmEtYjUwZi00ZjY3LThmNmQtZjZlMjI2YTZjYmQ0XkEyXkFqcGdeQXVyNTc1NTQxODI@._V1_UX67_CR0,0,67,98_AL_.jpg",Léon,1994,A,110 min,"Action, Crime, Drama",8.5,"Mathilda, a 12-year-old girl, is reluctantly taken in by Léon, a professional assassin, after her family is murdered. An unusual relationship forms as she becomes his protégée and learns the assassin's trade.",64,Luc Besson,Jean Reno,Gary Oldman,Natalie Portman,Danny Aiello,1035236,"19,501,238" +"https://m.media-amazon.com/images/M/MV5BYTYxNGMyZTYtMjE3MS00MzNjLWFjNmYtMDk3N2FmM2JiM2M1XkEyXkFqcGdeQXVyNjY5NDU4NzI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Lion King,1994,U,88 min,"Animation, Adventure, Drama",8.5,"Lion prince Simba and his father are targeted by his bitter uncle, who wants to ascend the throne himself.",88,Roger Allers,Rob Minkoff,Matthew Broderick,Jeremy Irons,James Earl Jones,942045,"422,783,777" +"https://m.media-amazon.com/images/M/MV5BMGU2NzRmZjUtOGUxYS00ZjdjLWEwZWItY2NlM2JhNjkxNTFmXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Terminator 2: Judgment Day,1991,U,137 min,"Action, Sci-Fi",8.5,"A cyborg, identical to the one who failed to kill Sarah Connor, must now protect her teenage son, John Connor, from a more advanced and powerful cyborg.",75,James Cameron,Arnold Schwarzenegger,Linda Hamilton,Edward Furlong,Robert Patrick,995506,"204,843,350" +"https://m.media-amazon.com/images/M/MV5BM2FhYjEyYmYtMDI1Yy00YTdlLWI2NWQtYmEzNzAxOGY1NjY2XkEyXkFqcGdeQXVyNTA3NTIyNDg@._V1_UX67_CR0,0,67,98_AL_.jpg",Nuovo Cinema Paradiso,1988,U,155 min,"Drama, Romance",8.5,A filmmaker recalls his childhood when falling in love with the pictures at the cinema of his home village and forms a deep friendship with the cinema's projectionist.,80,Giuseppe Tornatore,Philippe Noiret,Enzo Cannavale,Antonella Attili,Isa Danieli,230763,"11,990,401" +"https://m.media-amazon.com/images/M/MV5BZmY2NjUzNDQtNTgxNC00M2Q4LTljOWQtMjNjNDBjNWUxNmJlXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Hotaru no haka,1988,U,89 min,"Animation, Drama, War",8.5,A young boy and his little sister struggle to survive in Japan during World War II.,94,Isao Takahata,Tsutomu Tatsumi,Ayano Shiraishi,Akemi Yamaguchi,Yoshiko Shinohara,235231, +"https://m.media-amazon.com/images/M/MV5BZmU0M2Y1OGUtZjIxNi00ZjBkLTg1MjgtOWIyNThiZWIwYjRiXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Back to the Future,1985,U,116 min,"Adventure, Comedy, Sci-Fi",8.5,"Marty McFly, a 17-year-old high school student, is accidentally sent thirty years into the past in a time-traveling DeLorean invented by his close friend, the eccentric scientist Doc Brown.",87,Robert Zemeckis,Michael J. Fox,Christopher Lloyd,Lea Thompson,Crispin Glover,1058081,"210,609,762" +"https://m.media-amazon.com/images/M/MV5BZGI5MjBmYzYtMzJhZi00NGI1LTk3MzItYjBjMzcxM2U3MDdiXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Once Upon a Time in the West,1968,U,165 min,Western,8.5,A mysterious stranger with a harmonica joins forces with a notorious desperado to protect a beautiful widow from a ruthless assassin working for the railroad.,80,Sergio Leone,Henry Fonda,Charles Bronson,Claudia Cardinale,Jason Robards,302844,"5,321,508" +"https://m.media-amazon.com/images/M/MV5BNTQwNDM1YzItNDAxZC00NWY2LTk0M2UtNDIwNWI5OGUyNWUxXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Psycho,1960,A,109 min,"Horror, Mystery, Thriller",8.5,"A Phoenix secretary embezzles $40,000 from her employer's client, goes on the run, and checks into a remote motel run by a young man under the domination of his mother.",97,Alfred Hitchcock,Anthony Perkins,Janet Leigh,Vera Miles,John Gavin,604211,"32,000,000" +"https://m.media-amazon.com/images/M/MV5BY2IzZGY2YmEtYzljNS00NTM5LTgwMzUtMzM1NjQ4NGI0OTk0XkEyXkFqcGdeQXVyNDYyMDk5MTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Casablanca,1942,U,102 min,"Drama, Romance, War",8.5,A cynical expatriate American cafe owner struggles to decide whether or not to help his former lover and her fugitive husband escape the Nazis in French Morocco.,100,Michael Curtiz,Humphrey Bogart,Ingrid Bergman,Paul Henreid,Claude Rains,522093,"1,024,560" +"https://m.media-amazon.com/images/M/MV5BYjJiZjMzYzktNjU0NS00OTkxLWEwYzItYzdhYWJjN2QzMTRlL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Modern Times,1936,G,87 min,"Comedy, Drama, Family",8.5,The Tramp struggles to live in modern industrial society with the help of a young homeless woman.,96,Charles Chaplin,Charles Chaplin,Paulette Goddard,Henry Bergman,Tiny Sandford,217881,"163,245" +"https://m.media-amazon.com/images/M/MV5BY2I4MmM1N2EtM2YzOS00OWUzLTkzYzctNDc5NDg2N2IyODJmXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",City Lights,1931,G,87 min,"Comedy, Drama, Romance",8.5,"With the aid of a wealthy erratic tippler, a dewy-eyed tramp who has fallen in love with a sightless flower girl accumulates money to be able to help her medically.",99,Charles Chaplin,Charles Chaplin,Virginia Cherrill,Florence Lee,Harry Myers,167839,"19,181" +"https://m.media-amazon.com/images/M/MV5BMmExNzU2ZWMtYzUwYi00YmM2LTkxZTQtNmVhNjY0NTMyMWI2XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Capharnaüm,2018,A,126 min,Drama,8.4,"While serving a five-year sentence for a violent crime, a 12-year-old boy sues his parents for neglect.",75,Nadine Labaki,Zain Al Rafeea,Yordanos Shiferaw,Boluwatife Treasure Bankole,Kawsar Al Haddad,62635,"1,661,096" +"https://m.media-amazon.com/images/M/MV5BNWJhMDlmZGUtYzcxNS00NDRiLWIwNjktNDY1Mjg3ZjBkYzY0XkEyXkFqcGdeQXVyMTU4MjUwMjI@._V1_UY98_CR2,0,67,98_AL_.jpg",Ayla: The Daughter of War,2017,,125 min,"Biography, Drama, History",8.4,"In 1950, amid-st the ravages of the Korean War, Sergeant Süleyman stumbles upon a half-frozen little girl, with no parents and no help in sight. Frantic, scared and on the verge of death, ... See full summary »",,Can Ulkay,Erdem Can,Çetin Tekindor,Ismail Hacioglu,Kyung-jin Lee,34112, +"https://m.media-amazon.com/images/M/MV5BY2FiMTFmMzMtZDI2ZC00NDQyLWExYTUtOWNmZWM1ZDg5YjVjXkEyXkFqcGdeQXVyODIwMDI1NjM@._V1_UX67_CR0,0,67,98_AL_.jpg",Vikram Vedha,2017,UA,147 min,"Action, Crime, Drama",8.4,"Vikram, a no-nonsense police officer, accompanied by Simon, his partner, is on the hunt to capture Vedha, a smuggler and a murderer. Vedha tries to change Vikram's life, which leads to a conflict.",,Gayatri,Pushkar,Madhavan,Vijay Sethupathi,Shraddha Srinath,28401, +"https://m.media-amazon.com/images/M/MV5BODRmZDVmNzUtZDA4ZC00NjhkLWI2M2UtN2M0ZDIzNDcxYThjL2ltYWdlXkEyXkFqcGdeQXVyNTk0MzMzODA@._V1_UX67_CR0,0,67,98_AL_.jpg",Kimi no na wa.,2016,U,106 min,"Animation, Drama, Fantasy",8.4,"Two strangers find themselves linked in a bizarre way. When a connection forms, will distance be the only thing to keep them apart?",79,Makoto Shinkai,Ryûnosuke Kamiki,Mone Kamishiraishi,Ryô Narita,Aoi Yûki,194838,"5,017,246" +"https://m.media-amazon.com/images/M/MV5BMTQ4MzQzMzM2Nl5BMl5BanBnXkFtZTgwMTQ1NzU3MDI@._V1_UY98_CR1,0,67,98_AL_.jpg",Dangal,2016,U,161 min,"Action, Biography, Drama",8.4,Former wrestler Mahavir Singh Phogat and his two wrestler daughters struggle towards glory at the Commonwealth Games in the face of societal oppression.,,Nitesh Tiwari,Aamir Khan,Sakshi Tanwar,Fatima Sana Shaikh,Sanya Malhotra,156479,"12,391,761" +"https://m.media-amazon.com/images/M/MV5BMjMwNDkxMTgzOF5BMl5BanBnXkFtZTgwNTkwNTQ3NjM@._V1_UX67_CR0,0,67,98_AL_.jpg",Spider-Man: Into the Spider-Verse,2018,U,117 min,"Animation, Action, Adventure",8.4,"Teen Miles Morales becomes the Spider-Man of his universe, and must join with five spider-powered individuals from other dimensions to stop a threat for all realities.",87,Bob Persichetti,Peter Ramsey,Rodney Rothman,Shameik Moore,Jake Johnson,375110,"190,241,310" +"https://m.media-amazon.com/images/M/MV5BMTc5MDE2ODcwNV5BMl5BanBnXkFtZTgwMzI2NzQ2NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Avengers: Endgame,2019,UA,181 min,"Action, Adventure, Drama",8.4,"After the devastating events of Avengers: Infinity War (2018), the universe is in ruins. With the help of remaining allies, the Avengers assemble once more in order to reverse Thanos' actions and restore balance to the universe.",78,Anthony Russo,Joe Russo,Robert Downey Jr.,Chris Evans,Mark Ruffalo,809955,"858,373,000" +"https://m.media-amazon.com/images/M/MV5BMjMxNjY2MDU1OV5BMl5BanBnXkFtZTgwNzY1MTUwNTM@._V1_UX67_CR0,0,67,98_AL_.jpg",Avengers: Infinity War,2018,UA,149 min,"Action, Adventure, Sci-Fi",8.4,The Avengers and their allies must be willing to sacrifice all in an attempt to defeat the powerful Thanos before his blitz of devastation and ruin puts an end to the universe.,68,Anthony Russo,Joe Russo,Robert Downey Jr.,Chris Hemsworth,Mark Ruffalo,834477,"678,815,482" +"https://m.media-amazon.com/images/M/MV5BYjQ5NjM0Y2YtNjZkNC00ZDhkLWJjMWItN2QyNzFkMDE3ZjAxXkEyXkFqcGdeQXVyODIxMzk5NjA@._V1_UY98_CR1,0,67,98_AL_.jpg",Coco,2017,U,105 min,"Animation, Adventure, Family",8.4,"Aspiring musician Miguel, confronted with his family's ancestral ban on music, enters the Land of the Dead to find his great-great-grandfather, a legendary singer.",81,Lee Unkrich,Adrian Molina,Anthony Gonzalez,Gael García Bernal,Benjamin Bratt,384171,"209,726,015" +"https://m.media-amazon.com/images/M/MV5BMjIyNTQ5NjQ1OV5BMl5BanBnXkFtZTcwODg1MDU4OA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Django Unchained,2012,A,165 min,"Drama, Western",8.4,"With the help of a German bounty hunter, a freed slave sets out to rescue his wife from a brutal Mississippi plantation owner.",81,Quentin Tarantino,Jamie Foxx,Christoph Waltz,Leonardo DiCaprio,Kerry Washington,1357682,"162,805,434" +"https://m.media-amazon.com/images/M/MV5BMTk4ODQzNDY3Ml5BMl5BanBnXkFtZTcwODA0NTM4Nw@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Dark Knight Rises,2012,UA,164 min,"Action, Adventure",8.4,"Eight years after the Joker's reign of anarchy, Batman, with the help of the enigmatic Catwoman, is forced from his exile to save Gotham City from the brutal guerrilla terrorist Bane.",78,Christopher Nolan,Christian Bale,Tom Hardy,Anne Hathaway,Gary Oldman,1516346,"448,139,099" +"https://m.media-amazon.com/images/M/MV5BNTkyOGVjMGEtNmQzZi00NzFlLTlhOWQtODYyMDc2ZGJmYzFhXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UY98_CR0,0,67,98_AL_.jpg",3 Idiots,2009,UA,170 min,"Comedy, Drama",8.4,"Two friends are searching for their long lost companion. They revisit their college days and recall the memories of their friend who inspired them to think differently, even as the rest of the world called them ""idiots"".",67,Rajkumar Hirani,Aamir Khan,Madhavan,Mona Singh,Sharman Joshi,344445,"6,532,908" +"https://m.media-amazon.com/images/M/MV5BMDhjZWViN2MtNzgxOS00NmI4LThiZDQtZDI3MzM4MDE4NTc0XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR1,0,67,98_AL_.jpg",Taare Zameen Par,2007,U,165 min,"Drama, Family",8.4,"An eight-year-old boy is thought to be a lazy trouble-maker, until the new art teacher has the patience and compassion to discover the real problem behind his struggles in school.",,Aamir Khan,Amole Gupte,Darsheel Safary,Aamir Khan,Tisca Chopra,168895,"1,223,869" +"https://m.media-amazon.com/images/M/MV5BMjExMTg5OTU0NF5BMl5BanBnXkFtZTcwMjMxMzMzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",WALL·E,2008,U,98 min,"Animation, Adventure, Family",8.4,"In the distant future, a small waste-collecting robot inadvertently embarks on a space journey that will ultimately decide the fate of mankind.",95,Andrew Stanton,Ben Burtt,Elissa Knight,Jeff Garlin,Fred Willard,999790,"223,808,164" +"https://m.media-amazon.com/images/M/MV5BOThkM2EzYmMtNDE3NS00NjlhLTg4YzktYTdhNzgyOWY3ZDYzXkEyXkFqcGdeQXVyNzQzNzQxNzI@._V1_UY98_CR1,0,67,98_AL_.jpg",The Lives of Others,2006,A,137 min,"Drama, Mystery, Thriller",8.4,"In 1984 East Berlin, an agent of the secret police, conducting surveillance on a writer and his lover, finds himself becoming increasingly absorbed by their lives.",89,Florian Henckel von Donnersmarck,Ulrich Mühe,Martina Gedeck,Sebastian Koch,Ulrich Tukur,358685,"11,286,112" +"https://m.media-amazon.com/images/M/MV5BMTI3NTQyMzU5M15BMl5BanBnXkFtZTcwMTM2MjgyMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Oldeuboi,2003,A,101 min,"Action, Drama, Mystery",8.4,"After being kidnapped and imprisoned for fifteen years, Oh Dae-Su is released, only to find that he must find his captor in five days.",77,Chan-wook Park,Choi Min-sik,Yoo Ji-Tae,Kang Hye-jeong,Kim Byeong-Ok,515451,"707,481" +"https://m.media-amazon.com/images/M/MV5BZTcyNjk1MjgtOWI3Mi00YzQwLWI5MTktMzY4ZmI2NDAyNzYzXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Memento,2000,UA,113 min,"Mystery, Thriller",8.4,A man with short-term memory loss attempts to track down his wife's murderer.,80,Christopher Nolan,Guy Pearce,Carrie-Anne Moss,Joe Pantoliano,Mark Boone Junior,1125712,"25,544,867" +"https://m.media-amazon.com/images/M/MV5BNGIzY2IzODQtNThmMi00ZDE4LWI5YzAtNzNlZTM1ZjYyYjUyXkEyXkFqcGdeQXVyODEzNjM5OTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Mononoke-hime,1997,U,134 min,"Animation, Action, Adventure",8.4,"On a journey to find the cure for a Tatarigami's curse, Ashitaka finds himself in the middle of a war between the forest gods and Tatara, a mining colony. In this quest he also meets San, the Mononoke Hime.",76,Hayao Miyazaki,Yôji Matsuda,Yuriko Ishida,Yûko Tanaka,Billy Crudup,343171,"2,375,308" +"https://m.media-amazon.com/images/M/MV5BMGFkNWI4MTMtNGQ0OC00MWVmLTk3MTktOGYxN2Y2YWVkZWE2XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Once Upon a Time in America,1984,A,229 min,"Crime, Drama",8.4,"A former Prohibition-era Jewish gangster returns to the Lower East Side of Manhattan over thirty years later, where he once again must confront the ghosts and regrets of his old life.",,Sergio Leone,Robert De Niro,James Woods,Elizabeth McGovern,Treat Williams,311365,"5,321,508" +"https://m.media-amazon.com/images/M/MV5BMjA0ODEzMTc1Nl5BMl5BanBnXkFtZTcwODM2MjAxNA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Raiders of the Lost Ark,1981,A,115 min,"Action, Adventure",8.4,"In 1936, archaeologist and adventurer Indiana Jones is hired by the U.S. government to find the Ark of the Covenant before Adolf Hitler's Nazis can obtain its awesome powers.",85,Steven Spielberg,Harrison Ford,Karen Allen,Paul Freeman,John Rhys-Davies,884112,"248,159,971" +"https://m.media-amazon.com/images/M/MV5BZWFlYmY2MGEtZjVkYS00YzU4LTg0YjQtYzY1ZGE3NTA5NGQxXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Shining,1980,A,146 min,"Drama, Horror",8.4,"A family heads to an isolated hotel for the winter where a sinister presence influences the father into violence, while his psychic son sees horrific forebodings from both past and future.",66,Stanley Kubrick,Jack Nicholson,Shelley Duvall,Danny Lloyd,Scatman Crothers,898237,"44,017,374" +"https://m.media-amazon.com/images/M/MV5BMDdhODg0MjYtYzBiOS00ZmI5LWEwZGYtZDEyNDU4MmQyNzFkXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Apocalypse Now,1979,R,147 min,"Drama, Mystery, War",8.4,A U.S. Army officer serving in Vietnam is tasked with assassinating a renegade Special Forces Colonel who sees himself as a god.,94,Francis Ford Coppola,Martin Sheen,Marlon Brando,Robert Duvall,Frederic Forrest,606398,"83,471,511" +"https://m.media-amazon.com/images/M/MV5BMmQ2MmU3NzktZjAxOC00ZDZhLTk4YzEtMDMyMzcxY2IwMDAyXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Alien,1979,R,117 min,"Horror, Sci-Fi",8.4,"After a space merchant vessel receives an unknown transmission as a distress call, one of the crew is attacked by a mysterious life form and they soon realize that its life cycle has merely begun.",89,Ridley Scott,Sigourney Weaver,Tom Skerritt,John Hurt,Veronica Cartwright,787806,"78,900,000" +"https://m.media-amazon.com/images/M/MV5BYmYzNmM2MDctZGY3Yi00NjRiLWIxZjctYjgzYTcxYTNhYTMyXkEyXkFqcGdeQXVyMjUxMTY3ODM@._V1_UY98_CR1,0,67,98_AL_.jpg",Anand,1971,U,122 min,"Drama, Musical",8.4,"The story of a terminally ill man who wishes to live life to the fullest before the inevitable occurs, as told by his best friend.",,Hrishikesh Mukherjee,Rajesh Khanna,Amitabh Bachchan,Sumita Sanyal,Ramesh Deo,30273, +"https://m.media-amazon.com/images/M/MV5BOTI4NTNhZDMtMWNkZi00MTRmLWJmZDQtMmJkMGVmZTEzODlhXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Tengoku to jigoku,1963,,143 min,"Crime, Drama, Mystery",8.4,An executive of a shoe company becomes a victim of extortion when his chauffeur's son is kidnapped and held for ransom.,,Akira Kurosawa,Toshirô Mifune,Yutaka Sada,Tatsuya Nakadai,Kyôko Kagawa,34357, +"https://m.media-amazon.com/images/M/MV5BZWI3ZTMxNjctMjdlNS00NmUwLWFiM2YtZDUyY2I3N2MxYTE0XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb,1964,A,95 min,Comedy,8.4,An insane general triggers a path to nuclear holocaust that a War Room full of politicians and generals frantically tries to stop.,97,Stanley Kubrick,Peter Sellers,George C. Scott,Sterling Hayden,Keenan Wynn,450474,"275,902" +"https://m.media-amazon.com/images/M/MV5BNDQwODU5OWYtNDcyNi00MDQ1LThiOGMtZDkwNWJiM2Y3MDg0XkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Witness for the Prosecution,1957,U,116 min,"Crime, Drama, Mystery",8.4,A veteran British barrister must defend his client in a murder trial that has surprise after surprise.,,Billy Wilder,Tyrone Power,Marlene Dietrich,Charles Laughton,Elsa Lanchester,108862,"8,175,000" +"https://m.media-amazon.com/images/M/MV5BNjViMmRkOTEtM2ViOS00ODg0LWJhYWEtNTBlOGQxNDczOGY3XkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UY98_CR2,0,67,98_AL_.jpg",Paths of Glory,1957,A,88 min,"Drama, War",8.4,"After refusing to attack an enemy position, a general accuses the soldiers of cowardice and their commanding officer must defend them.",90,Stanley Kubrick,Kirk Douglas,Ralph Meeker,Adolphe Menjou,George Macready,178092, +"https://m.media-amazon.com/images/M/MV5BNGUxYWM3M2MtMGM3Mi00ZmRiLWE0NGQtZjE5ODI2OTJhNTU0XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Rear Window,1954,U,112 min,"Mystery, Thriller",8.4,A wheelchair-bound photographer spies on his neighbors from his apartment window and becomes convinced one of them has committed murder.,100,Alfred Hitchcock,James Stewart,Grace Kelly,Wendell Corey,Thelma Ritter,444074,"36,764,313" +"https://m.media-amazon.com/images/M/MV5BMTU0NTkyNzYwMF5BMl5BanBnXkFtZTgwMDU0NDk5MTI@._V1_UX67_CR0,0,67,98_AL_.jpg",Sunset Blvd.,1950,Passed,110 min,"Drama, Film-Noir",8.4,A screenwriter develops a dangerous relationship with a faded film star determined to make a triumphant return.,,Billy Wilder,William Holden,Gloria Swanson,Erich von Stroheim,Nancy Olson,201632, +"https://m.media-amazon.com/images/M/MV5BMmExYWJjNTktNGUyZS00ODhmLTkxYzAtNWIzOGEyMGNiMmUwXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Great Dictator,1940,Passed,125 min,"Comedy, Drama, War",8.4,Dictator Adenoid Hynkel tries to expand his empire while a poor Jewish barber tries to avoid persecution from Hynkel's regime.,,Charles Chaplin,Charles Chaplin,Paulette Goddard,Jack Oakie,Reginald Gardiner,203150,"288,475" +"https://m.media-amazon.com/images/M/MV5BOTdmNTFjNDEtNzg0My00ZjkxLTg1ZDAtZTdkMDc2ZmFiNWQ1XkEyXkFqcGdeQXVyNTAzNzgwNTg@._V1_UX67_CR0,0,67,98_AL_.jpg",1917,2019,R,119 min,"Drama, Thriller, War",8.3,"April 6th, 1917. As a regiment assembles to wage war deep in enemy territory, two soldiers are assigned to race against time and deliver a message that will stop 1,600 men from walking straight into a deadly trap.",78,Sam Mendes,Dean-Charles Chapman,George MacKay,Daniel Mays,Colin Firth,425844,"159,227,644" +"https://m.media-amazon.com/images/M/MV5BYmQxNmU4ZjgtYzE5Mi00ZDlhLTlhOTctMzJkNjk2ZGUyZGEwXkEyXkFqcGdeQXVyMzgxMDA0Nzk@._V1_UY98_CR1,0,67,98_AL_.jpg",Tumbbad,2018,A,104 min,"Drama, Fantasy, Horror",8.3,A mythological story about a goddess who created the entire universe. The plot revolves around the consequences when humans build a temple for her first-born.,,Rahi Anil Barve,Anand Gandhi,Adesh Prasad,Sohum Shah,Jyoti Malshe,27793, +"https://m.media-amazon.com/images/M/MV5BZWZhMjhhZmYtOTIzOC00MGYzLWI1OGYtM2ZkN2IxNTI4ZWI3XkEyXkFqcGdeQXVyNDAzNDk0MTQ@._V1_UY98_CR0,0,67,98_AL_.jpg",Andhadhun,2018,UA,139 min,"Crime, Drama, Music",8.3,"A series of mysterious events change the life of a blind pianist, who must now report a crime that he should technically know nothing of.",,Sriram Raghavan,Ayushmann Khurrana,Tabu,Radhika Apte,Anil Dhawan,71875,"1,373,943" +"https://m.media-amazon.com/images/M/MV5BYmY3MzYwMGUtOWMxYS00OGVhLWFjNmUtYzlkNGVmY2ZkMjA3XkEyXkFqcGdeQXVyMTExNDQ2MTI@._V1_UY98_CR4,0,67,98_AL_.jpg",Drishyam,2013,U,160 min,"Crime, Drama, Thriller",8.3,A man goes to extreme lengths to save his family from punishment after the family commits an accidental crime.,,Jeethu Joseph,Mohanlal,Meena,Asha Sharath,Ansiba,30722, +"https://m.media-amazon.com/images/M/MV5BMTg2NDg3ODg4NF5BMl5BanBnXkFtZTcwNzk3NTc3Nw@@._V1_UY98_CR1,0,67,98_AL_.jpg",Jagten,2012,R,115 min,Drama,8.3,"A teacher lives a lonely life, all the while struggling over his son's custody. His life slowly gets better as he finds love and receives good news from his son, but his new luck is about to be brutally shattered by an innocent little lie.",77,Thomas Vinterberg,Mads Mikkelsen,Thomas Bo Larsen,Annika Wedderkopp,Lasse Fogelstrøm,281623,"687,185" +"https://m.media-amazon.com/images/M/MV5BN2JmMjViMjMtZTM5Mi00ZGZkLTk5YzctZDg5MjFjZDE4NjNkXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Jodaeiye Nader az Simin,2011,PG-13,123 min,Drama,8.3,A married couple are faced with a difficult decision - to improve the life of their child by moving to another country or to stay in Iran and look after a deteriorating parent who has Alzheimer's disease.,95,Asghar Farhadi,Payman Maadi,Leila Hatami,Sareh Bayat,Shahab Hosseini,220002,"7,098,492" +"https://m.media-amazon.com/images/M/MV5BMWE3MGYzZjktY2Q5Mi00Y2NiLWIyYWUtMmIyNzA3YmZlMGFhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Incendies,2010,R,131 min,"Drama, Mystery, War",8.3,Twins journey to the Middle East to discover their family history and fulfill their mother's last wishes.,80,Denis Villeneuve,Lubna Azabal,Mélissa Désormeaux-Poulin,Maxim Gaudette,Mustafa Kamel,150023,"6,857,096" +"https://m.media-amazon.com/images/M/MV5BOGE3N2QxN2YtM2ZlNS00MWIyLWE1NDAtYWFlN2FiYjY1MjczXkEyXkFqcGdeQXVyOTUwNzc0ODc@._V1_UY98_CR1,0,67,98_AL_.jpg",Miracle in cell NO.7,2019,TV-14,132 min,Drama,8.3,A story of love between a mentally-ill father who was wrongly accused of murder and his lovely six years old daughter. The prison would be their home. Based on the 2013 Korean movie 7-beon-bang-ui seon-mul (2013).,,Mehmet Ada Öztekin,Aras Bulut Iynemli,Nisa Sofiya Aksongur,Deniz Baysal,Celile Toyon Uysal,33935, +"https://m.media-amazon.com/images/M/MV5BNjAzMzEwYzctNjc1MC00Nzg5LWFmMGItMTgzYmMyNTY2OTQ4XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UY98_CR0,0,67,98_AL_.jpg",Babam ve Oglum,2005,,112 min,"Drama, Family",8.3,The family of a left-wing journalist is torn apart after the military coup of Turkey in 1980.,,Çagan Irmak,Çetin Tekindor,Fikret Kuskan,Hümeyra,Ege Tanman,78925, +"https://m.media-amazon.com/images/M/MV5BOTJiNDEzOWYtMTVjOC00ZjlmLWE0NGMtZmE1OWVmZDQ2OWJhXkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UX67_CR0,0,67,98_AL_.jpg",Inglourious Basterds,2009,A,153 min,"Adventure, Drama, War",8.3,"In Nazi-occupied France during World War II, a plan to assassinate Nazi leaders by a group of Jewish U.S. soldiers coincides with a theatre owner's vengeful plans for the same.",69,Quentin Tarantino,Brad Pitt,Diane Kruger,Eli Roth,Mélanie Laurent,1267869,"120,540,719" +"https://m.media-amazon.com/images/M/MV5BMTY4NzcwODg3Nl5BMl5BanBnXkFtZTcwNTEwOTMyMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Eternal Sunshine of the Spotless Mind,2004,UA,108 min,"Drama, Romance, Sci-Fi",8.3,"When their relationship turns sour, a couple undergoes a medical procedure to have each other erased from their memories.",89,Michel Gondry,Jim Carrey,Kate Winslet,Tom Wilkinson,Gerry Robert Byrne,911664,"34,400,301" +"https://m.media-amazon.com/images/M/MV5BNDg4NjM1YjMtYmNhZC00MjM0LWFiZmYtNGY1YjA3MzZmODc5XkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Amélie,2001,U,122 min,"Comedy, Romance",8.3,"Amélie is an innocent and naive girl in Paris with her own sense of justice. She decides to help those around her and, along the way, discovers love.",69,Jean-Pierre Jeunet,Audrey Tautou,Mathieu Kassovitz,Rufus,Lorella Cravotta,703810,"33,225,499" +"https://m.media-amazon.com/images/M/MV5BMTA2NDYxOGYtYjU1Mi00Y2QzLTgxMTQtMWI1MGI0ZGQ5MmU4XkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UY98_CR0,0,67,98_AL_.jpg",Snatch,2000,UA,104 min,"Comedy, Crime",8.3,"Unscrupulous boxing promoters, violent bookmakers, a Russian gangster, incompetent amateur robbers and supposedly Jewish jewelers fight to track down a priceless stolen diamond.",55,Guy Ritchie,Jason Statham,Brad Pitt,Benicio Del Toro,Dennis Farina,782001,"30,328,156" +"https://m.media-amazon.com/images/M/MV5BOTdiNzJlOWUtNWMwNS00NmFlLWI0YTEtZmI3YjIzZWUyY2Y3XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Requiem for a Dream,2000,A,102 min,Drama,8.3,The drug-induced utopias of four Coney Island people are shattered when their addictions run deep.,68,Darren Aronofsky,Ellen Burstyn,Jared Leto,Jennifer Connelly,Marlon Wayans,766870,"3,635,482" +"https://m.media-amazon.com/images/M/MV5BNTBmZWJkNjctNDhiNC00MGE2LWEwOTctZTk5OGVhMWMyNmVhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",American Beauty,1999,UA,122 min,Drama,8.3,A sexually frustrated suburban father has a mid-life crisis after becoming infatuated with his daughter's best friend.,84,Sam Mendes,Kevin Spacey,Annette Bening,Thora Birch,Wes Bentley,1069738,"130,096,601" +"https://m.media-amazon.com/images/M/MV5BOTI0MzcxMTYtZDVkMy00NjY1LTgyMTYtZmUxN2M3NmQ2NWJhXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Good Will Hunting,1997,U,126 min,"Drama, Romance",8.3,"Will Hunting, a janitor at M.I.T., has a gift for mathematics, but needs help from a psychologist to find direction in his life.",70,Gus Van Sant,Robin Williams,Matt Damon,Ben Affleck,Stellan Skarsgård,861606,"138,433,435" +"https://m.media-amazon.com/images/M/MV5BZTYwZWQ4ZTQtZWU0MS00N2YwLWEzMDItZWFkZWY0MWVjODVhXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Bacheha-Ye aseman,1997,PG,89 min,"Drama, Family, Sport",8.3,"After a boy loses his sister's pair of shoes, he goes on a series of adventures in order to find them. When he can't, he tries a new way to ""win"" a new pair.",77,Majid Majidi,Mohammad Amir Naji,Amir Farrokh Hashemian,Bahare Seddiqi,Nafise Jafar-Mohammadi,65341,"933,933" +"https://m.media-amazon.com/images/M/MV5BMDU2ZWJlMjktMTRhMy00ZTA5LWEzNDgtYmNmZTEwZTViZWJkXkEyXkFqcGdeQXVyNDQ2OTk4MzI@._V1_UX67_CR0,0,67,98_AL_.jpg",Toy Story,1995,U,81 min,"Animation, Adventure, Comedy",8.3,A cowboy doll is profoundly threatened and jealous when a new spaceman figure supplants him as top toy in a boy's room.,95,John Lasseter,Tom Hanks,Tim Allen,Don Rickles,Jim Varney,887429,"191,796,233" +"https://m.media-amazon.com/images/M/MV5BMzkzMmU0YTYtOWM3My00YzBmLWI0YzctOGYyNTkwMWE5MTJkXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Braveheart,1995,A,178 min,"Biography, Drama, History",8.3,Scottish warrior William Wallace leads his countrymen in a rebellion to free his homeland from the tyranny of King Edward I of England.,68,Mel Gibson,Mel Gibson,Sophie Marceau,Patrick McGoohan,Angus Macfadyen,959181,"75,600,000" +"https://m.media-amazon.com/images/M/MV5BZmExNmEwYWItYmQzOS00YjA5LTk2MjktZjEyZDE1Y2QxNjA1XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Reservoir Dogs,1992,R,99 min,"Crime, Drama, Thriller",8.3,"When a simple jewelry heist goes horribly wrong, the surviving criminals begin to suspect that one of them is a police informant.",79,Quentin Tarantino,Harvey Keitel,Tim Roth,Michael Madsen,Chris Penn,918562,"2,832,029" +"https://m.media-amazon.com/images/M/MV5BNzkxODk0NjEtYjc4Mi00ZDI0LTgyYjEtYzc1NDkxY2YzYTgyXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Full Metal Jacket,1987,UA,116 min,"Drama, War",8.3,A pragmatic U.S. Marine observes the dehumanizing effects the Vietnam War has on his fellow recruits from their brutal boot camp training to the bloody street fighting in Hue.,76,Stanley Kubrick,Matthew Modine,R. Lee Ermey,Vincent D'Onofrio,Adam Baldwin,675146,"46,357,676" +"https://m.media-amazon.com/images/M/MV5BODM4Njg0NTAtYjI5Ny00ZjAxLTkwNmItZTMxMWU5M2U3M2RjXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Idi i smotri,1985,A,142 min,"Drama, Thriller, War",8.3,"After finding an old rifle, a young boy joins the Soviet resistance movement against ruthless German forces and experiences the horrors of World War II.",,Elem Klimov,Aleksey Kravchenko,Olga Mironova,Liubomiras Laucevicius,Vladas Bagdonas,59056, +"https://m.media-amazon.com/images/M/MV5BZGU2OGY5ZTYtMWNhYy00NjZiLWI0NjUtZmNhY2JhNDRmODU3XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Aliens,1986,U,137 min,"Action, Adventure, Sci-Fi",8.3,"Fifty-seven years after surviving an apocalyptic attack aboard her space vessel by merciless space creatures, Officer Ripley awakens from hyper-sleep and tries to warn anyone who will listen about the predators.",84,James Cameron,Sigourney Weaver,Michael Biehn,Carrie Henn,Paul Reiser,652719,"85,160,248" +"https://m.media-amazon.com/images/M/MV5BNWJlNzUzNGMtYTAwMS00ZjI2LWFmNWQtODcxNWUxODA5YmU1XkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UX67_CR0,0,67,98_AL_.jpg",Amadeus,1984,R,160 min,"Biography, Drama, History",8.3,"The life, success and troubles of Wolfgang Amadeus Mozart, as told by Antonio Salieri, the contemporaneous composer who was insanely jealous of Mozart's talent and claimed to have murdered him.",88,Milos Forman,F. Murray Abraham,Tom Hulce,Elizabeth Berridge,Roy Dotrice,369007,"51,973,029" +"https://m.media-amazon.com/images/M/MV5BNjdjNGQ4NDEtNTEwYS00MTgxLTliYzQtYzE2ZDRiZjFhZmNlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Scarface,1983,A,170 min,"Crime, Drama",8.3,"In 1980 Miami, a determined Cuban immigrant takes over a drug cartel and succumbs to greed.",65,Brian De Palma,Al Pacino,Michelle Pfeiffer,Steven Bauer,Mary Elizabeth Mastrantonio,740911,"45,598,982" +"https://m.media-amazon.com/images/M/MV5BOWZlMjFiYzgtMTUzNC00Y2IzLTk1NTMtZmNhMTczNTk0ODk1XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Star Wars: Episode VI - Return of the Jedi,1983,U,131 min,"Action, Adventure, Fantasy",8.3,"After a daring mission to rescue Han Solo from Jabba the Hutt, the Rebels dispatch to Endor to destroy the second Death Star. Meanwhile, Luke struggles to help Darth Vader back from the dark side without falling into the Emperor's trap.",58,Richard Marquand,Mark Hamill,Harrison Ford,Carrie Fisher,Billy Dee Williams,950470,"309,125,409" +"https://m.media-amazon.com/images/M/MV5BOGZhZDIzNWMtNjkxMS00MDQ1LThkMTYtZWQzYWU3MWMxMGU5XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Das Boot,1981,R,149 min,"Adventure, Drama, Thriller",8.3,"The claustrophobic world of a WWII German U-boat; boredom, filth and sheer terror.",86,Wolfgang Petersen,Jürgen Prochnow,Herbert Grönemeyer,Klaus Wennemann,Hubertus Bengsch,231855,"11,487,676" +"https://m.media-amazon.com/images/M/MV5BM2M1MmVhNDgtNmI0YS00ZDNmLTkyNjctNTJiYTQ2N2NmYzc2XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Taxi Driver,1976,A,114 min,"Crime, Drama",8.3,"A mentally unstable veteran works as a nighttime taxi driver in New York City, where the perceived decadence and sleaze fuels his urge for violent action by attempting to liberate a presidential campaign worker and an underage prostitute.",94,Martin Scorsese,Robert De Niro,Jodie Foster,Cybill Shepherd,Albert Brooks,724636,"28,262,574" +"https://m.media-amazon.com/images/M/MV5BNGU3NjQ4YTMtZGJjOS00YTQ3LThmNmItMTI5MDE2ODI3NzY3XkEyXkFqcGdeQXVyMjUzOTY1NTc@._V1_UX67_CR0,0,67,98_AL_.jpg",The Sting,1973,U,129 min,"Comedy, Crime, Drama",8.3,Two grifters team up to pull off the ultimate con.,83,George Roy Hill,Paul Newman,Robert Redford,Robert Shaw,Charles Durning,241513,"159,600,000" +"https://m.media-amazon.com/images/M/MV5BMTY3MjM1Mzc4N15BMl5BanBnXkFtZTgwODM0NzAxMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",A Clockwork Orange,1971,A,136 min,"Crime, Drama, Sci-Fi",8.3,"In the future, a sadistic gang leader is imprisoned and volunteers for a conduct-aversion experiment, but it doesn't go as planned.",77,Stanley Kubrick,Malcolm McDowell,Patrick Magee,Michael Bates,Warren Clarke,757904,"6,207,725" +"https://m.media-amazon.com/images/M/MV5BMmNlYzRiNDctZWNhMi00MzI4LThkZTctMTUzMmZkMmFmNThmXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",2001: A Space Odyssey,1968,U,149 min,"Adventure, Sci-Fi",8.3,"After discovering a mysterious artifact buried beneath the Lunar surface, mankind sets off on a quest to find its origins with help from intelligent supercomputer H.A.L. 9000.",84,Stanley Kubrick,Keir Dullea,Gary Lockwood,William Sylvester,Daniel Richter,603517,"56,954,992" +"https://m.media-amazon.com/images/M/MV5BNWM1NmYyM2ItMTFhNy00NDU0LThlYWUtYjQyYTJmOTY0ZmM0XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Per qualche dollaro in più,1965,U,132 min,Western,8.3,Two bounty hunters with the same intentions team up to track down a Western outlaw.,74,Sergio Leone,Clint Eastwood,Lee Van Cleef,Gian Maria Volontè,Mara Krupp,232772,"15,000,000" +"https://m.media-amazon.com/images/M/MV5BYWY5ZjhjNGYtZmI2Ny00ODM0LWFkNzgtZmI1YzA2N2MxMzA0XkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UY98_CR0,0,67,98_AL_.jpg",Lawrence of Arabia,1962,U,228 min,"Adventure, Biography, Drama",8.3,"The story of T.E. Lawrence, the English officer who successfully united and led the diverse, often warring, Arab tribes during World War I in order to fight the Turks.",100,David Lean,Peter O'Toole,Alec Guinness,Anthony Quinn,Jack Hawkins,268085,"44,824,144" +"https://m.media-amazon.com/images/M/MV5BNzkwODFjNzItMmMwNi00MTU5LWE2MzktM2M4ZDczZGM1MmViXkEyXkFqcGdeQXVyNDY2MTk1ODk@._V1_UX67_CR0,0,67,98_AL_.jpg",The Apartment,1960,U,125 min,"Comedy, Drama, Romance",8.3,"A man tries to rise in his company by letting its executives use his apartment for trysts, but complications and a romance of his own ensue.",94,Billy Wilder,Jack Lemmon,Shirley MacLaine,Fred MacMurray,Ray Walston,164363,"18,600,000" +"https://m.media-amazon.com/images/M/MV5BZDA3NDExMTUtMDlhOC00MmQ5LWExZGUtYmI1NGVlZWI4OWNiXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",North by Northwest,1959,U,136 min,"Adventure, Mystery, Thriller",8.3,A New York City advertising executive goes on the run after being mistaken for a government agent by a group of foreign spies.,98,Alfred Hitchcock,Cary Grant,Eva Marie Saint,James Mason,Jessie Royce Landis,299198,"13,275,000" +"https://m.media-amazon.com/images/M/MV5BYTE4ODEwZDUtNDFjOC00NjAxLWEzYTQtYTI1NGVmZmFlNjdiL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Vertigo,1958,A,128 min,"Mystery, Romance, Thriller",8.3,A former police detective juggles wrestling with his personal demons and becoming obsessed with a hauntingly beautiful woman.,100,Alfred Hitchcock,James Stewart,Kim Novak,Barbara Bel Geddes,Tom Helmore,364368,"3,200,000" +"https://m.media-amazon.com/images/M/MV5BZDRjNGViMjQtOThlMi00MTA3LThkYzQtNzJkYjBkMGE0YzE1XkEyXkFqcGdeQXVyNDYyMDk5MTU@._V1_UY98_CR0,0,67,98_AL_.jpg",Singin' in the Rain,1952,G,103 min,"Comedy, Musical, Romance",8.3,A silent film production company and cast make a difficult transition to sound.,99,Stanley Donen,Gene Kelly,Gene Kelly,Donald O'Connor,Debbie Reynolds,218957,"8,819,028" +"https://m.media-amazon.com/images/M/MV5BZmM0NGY3Y2MtMTA1YS00YmQzLTk2YTctYWFhMDkzMDRjZWQzXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Ikiru,1952,,143 min,Drama,8.3,A bureaucrat tries to find a meaning in his life after he discovers he has terminal cancer.,,Akira Kurosawa,Takashi Shimura,Nobuo Kaneko,Shin'ichi Himori,Haruo Tanaka,68463,"55,240" +"https://m.media-amazon.com/images/M/MV5BNmI1ODdjODctMDlmMC00ZWViLWI5MzYtYzRhNDdjYmM3MzFjXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR0,0,67,98_AL_.jpg",Ladri di biciclette,1948,,89 min,Drama,8.3,"In post-war Italy, a working-class man's bicycle is stolen. He and his son set out to find it.",,Vittorio De Sica,Lamberto Maggiorani,Enzo Staiola,Lianella Carell,Elena Altieri,146427,"332,930" +"https://m.media-amazon.com/images/M/MV5BOTdlNjgyZGUtOTczYi00MDdhLTljZmMtYTEwZmRiOWFkYjRhXkEyXkFqcGdeQXVyNDY2MTk1ODk@._V1_UX67_CR0,0,67,98_AL_.jpg",Double Indemnity,1944,Passed,107 min,"Crime, Drama, Film-Noir",8.3,An insurance representative lets himself be talked by a seductive housewife into a murder/insurance fraud scheme that arouses the suspicion of an insurance investigator.,95,Billy Wilder,Fred MacMurray,Barbara Stanwyck,Edward G. Robinson,Byron Barr,143525,"5,720,000" +"https://m.media-amazon.com/images/M/MV5BYjBiOTYxZWItMzdiZi00NjlkLWIzZTYtYmFhZjhiMTljOTdkXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Citizen Kane,1941,UA,119 min,"Drama, Mystery",8.3,"Following the death of publishing tycoon Charles Foster Kane, reporters scramble to uncover the meaning of his final utterance; 'Rosebud'.",100,Orson Welles,Orson Welles,Joseph Cotten,Dorothy Comingore,Agnes Moorehead,403351,"1,585,634" +"https://m.media-amazon.com/images/M/MV5BODA4ODk3OTEzMF5BMl5BanBnXkFtZTgwMTQ2ODMwMzE@._V1_UX67_CR0,0,67,98_AL_.jpg",M - Eine Stadt sucht einen Mörder,1931,Passed,117 min,"Crime, Mystery, Thriller",8.3,"When the police in a German city are unable to catch a child-murderer, other criminals join in the manhunt.",,Fritz Lang,Peter Lorre,Ellen Widmann,Inge Landgut,Otto Wernicke,143434,"28,877" +"https://m.media-amazon.com/images/M/MV5BMTg5YWIyMWUtZDY5My00Zjc1LTljOTctYmI0MWRmY2M2NmRkXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Metropolis,1927,,153 min,"Drama, Sci-Fi",8.3,"In a futuristic city sharply divided between the working class and the city planners, the son of the city's mastermind falls in love with a working-class prophet who predicts the coming of a savior to mediate their differences.",98,Fritz Lang,Brigitte Helm,Alfred Abel,Gustav Fröhlich,Rudolf Klein-Rogge,159992,"1,236,166" +"https://m.media-amazon.com/images/M/MV5BZjhhMThhNDItNTY2MC00MmU1LTliNDEtNDdhZjdlNTY5ZDQ1XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Kid,1921,Passed,68 min,"Comedy, Drama, Family",8.3,"The Tramp cares for an abandoned child, but events put that relationship in jeopardy.",,Charles Chaplin,Charles Chaplin,Edna Purviance,Jackie Coogan,Carl Miller,113314,"5,450,000" +"https://m.media-amazon.com/images/M/MV5BYjg2ZDI2YTYtN2EwYi00YWI5LTgyMWQtMWFkYmE3NmJkOGVhXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR0,0,67,98_AL_.jpg",Chhichhore,2019,UA,143 min,"Comedy, Drama",8.2,"A tragic incident forces Anirudh, a middle-aged man, to take a trip down memory lane and reminisce his college days along with his friends, who were labelled as losers.",,Nitesh Tiwari,Sushant Singh Rajput,Shraddha Kapoor,Varun Sharma,Prateik,33893,"898,575" +"https://m.media-amazon.com/images/M/MV5BMWU4ZjNlNTQtOGE2MS00NDI0LWFlYjMtMmY3ZWVkMjJkNGRmXkEyXkFqcGdeQXVyNjE1OTQ0NjA@._V1_UY98_CR0,0,67,98_AL_.jpg",Uri: The Surgical Strike,2018,UA,138 min,"Action, Drama, War",8.2,"Indian army special forces execute a covert operation, avenging the killing of fellow army men at their base by a terrorist group.",,Aditya Dhar,Vicky Kaushal,Paresh Rawal,Mohit Raina,Yami Gautam,43444,"4,186,168" +"https://m.media-amazon.com/images/M/MV5BZDNlNzBjMGUtYTA0Yy00OTI2LWJmZjMtODliYmUyYTI0OGFmXkEyXkFqcGdeQXVyODIwMDI1NjM@._V1_UX67_CR0,0,67,98_AL_.jpg",K.G.F: Chapter 1,2018,UA,156 min,"Action, Drama",8.2,"In the 1970s, a fierce rebel rises against brutal oppression and becomes the symbol of hope to legions of downtrodden people.",,Prashanth Neel,Yash,Srinidhi Shetty,Ramachandra Raju,Archana Jois,36680, +"https://m.media-amazon.com/images/M/MV5BYzIzYmJlYTYtNGNiYy00N2EwLTk4ZjItMGYyZTJiOTVkM2RlXkEyXkFqcGdeQXVyODY1NDk1NjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Green Book,2018,UA,130 min,"Biography, Comedy, Drama",8.2,A working-class Italian-American bouncer becomes the driver of an African-American classical pianist on a tour of venues through the 1960s American South.,69,Peter Farrelly,Viggo Mortensen,Mahershala Ali,Linda Cardellini,Sebastian Maniscalco,377884,"85,080,171" +"https://m.media-amazon.com/images/M/MV5BMjI0ODcxNzM1N15BMl5BanBnXkFtZTgwMzIwMTEwNDI@._V1_UX67_CR0,0,67,98_AL_.jpg","Three Billboards Outside Ebbing, Missouri",2017,A,115 min,"Comedy, Crime, Drama",8.2,A mother personally challenges the local authorities to solve her daughter's murder when they fail to catch the culprit.,88,Martin McDonagh,Frances McDormand,Woody Harrelson,Sam Rockwell,Caleb Landry Jones,432610,"54,513,740" +"https://m.media-amazon.com/images/M/MV5BMTYzODg0Mjc4M15BMl5BanBnXkFtZTgwNzY4Mzc3NjE@._V1_UY98_CR2,0,67,98_AL_.jpg",Talvar,2015,UA,132 min,"Crime, Drama, Mystery",8.2,An experienced investigator confronts several conflicting theories about the perpetrators of a violent double homicide.,,Meghna Gulzar,Irrfan Khan,Konkona Sen Sharma,Neeraj Kabi,Sohum Shah,31142,"342,370" +"https://m.media-amazon.com/images/M/MV5BOGNlNmRkMjctNDgxMC00NzFhLWIzY2YtZDk3ZDE0NWZhZDBlXkEyXkFqcGdeQXVyODIwMDI1NjM@._V1_UX67_CR0,0,67,98_AL_.jpg",Baahubali 2: The Conclusion,2017,UA,167 min,"Action, Drama",8.2,"When Shiva, the son of Bahubali, learns about his heritage, he begins to look for answers. His story is juxtaposed with past events that unfolded in the Mahishmati Kingdom.",,S.S. Rajamouli,Prabhas,Rana Daggubati,Anushka Shetty,Tamannaah Bhatia,75348,"20,186,659" +"https://m.media-amazon.com/images/M/MV5BMWYwOThjM2ItZGYxNy00NTQwLWFlZWEtM2MzM2Q5MmY3NDU5XkEyXkFqcGdeQXVyMTkxNjUyNQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Klaus,2019,PG,96 min,"Animation, Adventure, Comedy",8.2,"A simple act of kindness always sparks another, even in a frozen, faraway place. When Smeerensburg's new postman, Jesper, befriends toymaker Klaus, their gifts melt an age-old feud and deliver a sleigh full of holiday traditions.",65,Sergio Pablos,Carlos Martínez López,Jason Schwartzman,J.K. Simmons,Rashida Jones,104761, +"https://m.media-amazon.com/images/M/MV5BYmJhZmJlYTItZmZlNy00MGY0LTg0ZGMtNWFkYWU5NTA1YTNhXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR0,0,67,98_AL_.jpg",Drishyam,2015,UA,163 min,"Crime, Drama, Mystery",8.2,"Desperate measures are taken by a man who tries to save his family from the dark side of the law, after they commit an unexpected crime.",,Nishikant Kamat,Ajay Devgn,Shriya Saran,Tabu,Rajat Kapoor,70367,"739,478" +"https://m.media-amazon.com/images/M/MV5BNWYyOWRlOWItZWM5MS00ZjJkLWI0MTUtYTE3NTI5MDAwYjgyXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR0,0,67,98_AL_.jpg",Queen,2013,UA,146 min,"Adventure, Comedy, Drama",8.2,A Delhi girl from a traditional family sets out on a solo honeymoon after her marriage gets cancelled.,,Vikas Bahl,Kangana Ranaut,Rajkummar Rao,Lisa Haydon,Jeffrey Ho,60701,"1,429,534" +"https://m.media-amazon.com/images/M/MV5BMTgwNzA3MDQzOV5BMl5BanBnXkFtZTgwNTE5MDE5NDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Mandariinid,2013,,87 min,"Drama, War",8.2,"In 1992, war rages in Abkhazia, a breakaway region of Georgia. An Estonian man Ivo has decided to stay behind and harvest his crops of tangerines. In a bloody conflict at his door, a wounded man is left behind, and Ivo takes him in.",73,Zaza Urushadze,Lembit Ulfsak,Elmo Nüganen,Giorgi Nakashidze,Misha Meskhi,40382,"144,501" +"https://m.media-amazon.com/images/M/MV5BMTY1Nzg4MjcwN15BMl5BanBnXkFtZTcwOTc1NTk1OQ@@._V1_UY98_CR0,0,67,98_AL_.jpg",Bhaag Milkha Bhaag,2013,U,186 min,"Biography, Drama, Sport",8.2,The truth behind the ascension of Milkha Singh who was scarred because of the India-Pakistan partition.,,Rakeysh Omprakash Mehra,Farhan Akhtar,Sonam Kapoor,Pawan Malhotra,Art Malik,61137,"1,626,289" +"https://m.media-amazon.com/images/M/MV5BMTc5NjY4MjUwNF5BMl5BanBnXkFtZTgwODM3NzM5MzE@._V1_UX67_CR0,0,67,98_AL_.jpg",Gangs of Wasseypur,2012,A,321 min,"Action, Comedy, Crime",8.2,"A clash between Sultan and Shahid Khan leads to the expulsion of Khan from Wasseypur, and ignites a deadly blood feud spanning three generations.",89,Anurag Kashyap,Manoj Bajpayee,Richa Chadha,Nawazuddin Siddiqui,Tigmanshu Dhulia,82365, +"https://m.media-amazon.com/images/M/MV5BNzgxMzExMzUwNV5BMl5BanBnXkFtZTcwMDc2MjUwNA@@._V1_UY98_CR0,0,67,98_AL_.jpg",Udaan,2010,UA,134 min,Drama,8.2,"Expelled from his school, a 16-year old boy returns home to his abusive and oppressive father.",,Vikramaditya Motwane,Rajat Barmecha,Ronit Roy,Manjot Singh,Ram Kapoor,42341,"7,461" +"https://m.media-amazon.com/images/M/MV5BNTgwODM5OTMzN15BMl5BanBnXkFtZTcwMTA3NzI1Nw@@._V1_UY98_CR0,0,67,98_AL_.jpg",Paan Singh Tomar,2012,UA,135 min,"Action, Biography, Crime",8.2,"The story of Paan Singh Tomar, an Indian athlete and seven-time national steeplechase champion who becomes one of the most feared dacoits in Chambal Valley after his retirement.",,Tigmanshu Dhulia,Irrfan Khan,Mahie Gill,Rajesh Abhay,Hemendra Dandotiya,33237,"39,567" +"https://m.media-amazon.com/images/M/MV5BY2FhZGI5M2QtZWFiZS00NjkwLWE4NWQtMzg3ZDZjNjdkYTJiXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",El secreto de sus ojos,2009,R,129 min,"Drama, Mystery, Romance",8.2,A retired legal counselor writes a novel hoping to find closure for one of his past unresolved homicide cases and for his unreciprocated love with his superior - both of which still haunt him decades later.,80,Juan José Campanella,Ricardo Darín,Soledad Villamil,Pablo Rago,Carla Quevedo,193217,"6,391,436" +"https://m.media-amazon.com/images/M/MV5BMTk4ODk5MTMyNV5BMl5BanBnXkFtZTcwMDMyNTg0Ng@@._V1_UX67_CR0,0,67,98_AL_.jpg",Warrior,2011,UA,140 min,"Action, Drama, Sport",8.2,"The youngest son of an alcoholic former boxer returns home, where he's trained by his father for competition in a mixed martial arts tournament - a path that puts the fighter on a collision course with his estranged, older brother.",71,Gavin O'Connor,Tom Hardy,Nick Nolte,Joel Edgerton,Jennifer Morrison,435950,"13,657,115" +"https://m.media-amazon.com/images/M/MV5BYzhiNDkyNzktNTZmYS00ZTBkLTk2MDAtM2U0YjU1MzgxZjgzXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Shutter Island,2010,A,138 min,"Mystery, Thriller",8.2,"In 1954, a U.S. Marshal investigates the disappearance of a murderer who escaped from a hospital for the criminally insane.",63,Martin Scorsese,Leonardo DiCaprio,Emily Mortimer,Mark Ruffalo,Ben Kingsley,1129894,"128,012,934" +"https://m.media-amazon.com/images/M/MV5BMTk3NDE2NzI4NF5BMl5BanBnXkFtZTgwNzE1MzEyMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Up,2009,U,96 min,"Animation, Adventure, Comedy",8.2,"78-year-old Carl Fredricksen travels to Paradise Falls in his house equipped with balloons, inadvertently taking a young stowaway.",88,Pete Docter,Bob Peterson,Edward Asner,Jordan Nagai,John Ratzenberger,935507,"293,004,164" +"https://m.media-amazon.com/images/M/MV5BMjIxMjgxNTk0MF5BMl5BanBnXkFtZTgwNjIyOTg2MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Wolf of Wall Street,2013,A,180 min,"Biography, Crime, Drama",8.2,"Based on the true story of Jordan Belfort, from his rise to a wealthy stock-broker living the high life to his fall involving crime, corruption and the federal government.",75,Martin Scorsese,Leonardo DiCaprio,Jonah Hill,Margot Robbie,Matthew McConaughey,1187498,"116,900,694" +"https://m.media-amazon.com/images/M/MV5BMTUzODMyNzk4NV5BMl5BanBnXkFtZTgwNTk1NTYyNTM@._V1_UY98_CR3,0,67,98_AL_.jpg",Chak De! India,2007,U,153 min,"Drama, Family, Sport",8.2,Kabir Khan is the coach of the Indian Women's National Hockey Team and his dream is to make his all girls team emerge victorious against all odds.,68,Shimit Amin,Shah Rukh Khan,Vidya Malvade,Sagarika Ghatge,Shilpa Shukla,74129,"1,113,541" +"https://m.media-amazon.com/images/M/MV5BMjAxODQ4MDU5NV5BMl5BanBnXkFtZTcwMDU4MjU1MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",There Will Be Blood,2007,A,158 min,Drama,8.2,"A story of family, religion, hatred, oil and madness, focusing on a turn-of-the-century prospector in the early days of the business.",93,Paul Thomas Anderson,Daniel Day-Lewis,Paul Dano,Ciarán Hinds,Martin Stringer,517359,"40,222,514" +"https://m.media-amazon.com/images/M/MV5BMTU3ODg2NjQ5NF5BMl5BanBnXkFtZTcwMDEwODgzMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Pan's Labyrinth,2006,UA,118 min,"Drama, Fantasy, War",8.2,"In the Falangist Spain of 1944, the bookish young stepdaughter of a sadistic army officer escapes into an eerie but captivating fantasy world.",98,Guillermo del Toro,Ivana Baquero,Ariadna Gil,Sergi López,Maribel Verdú,618623,"37,634,615" +"https://m.media-amazon.com/images/M/MV5BMTgxOTY4Mjc0MF5BMl5BanBnXkFtZTcwNTA4MDQyMw@@._V1_UY98_CR1,0,67,98_AL_.jpg",Toy Story 3,2010,U,103 min,"Animation, Adventure, Comedy",8.2,"The toys are mistakenly delivered to a day-care center instead of the attic right before Andy leaves for college, and it's up to Woody to convince the other toys that they weren't abandoned and to return home.",92,Lee Unkrich,Tom Hanks,Tim Allen,Joan Cusack,Ned Beatty,757032,"415,004,880" +"https://m.media-amazon.com/images/M/MV5BOTI5ODc3NzExNV5BMl5BanBnXkFtZTcwNzYxNzQzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",V for Vendetta,2005,A,132 min,"Action, Drama, Sci-Fi",8.2,"In a future British tyranny, a shadowy freedom fighter, known only by the alias of ""V"", plots to overthrow it with the help of a young woman.",62,James McTeigue,Hugo Weaving,Natalie Portman,Rupert Graves,Stephen Rea,1032749,"70,511,035" +"https://m.media-amazon.com/images/M/MV5BYThmZDA0YmQtMWJhNy00MDQwLTk0Y2YtMDhmZTE5ZjhlNjliXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR1,0,67,98_AL_.jpg",Rang De Basanti,2006,UA,167 min,"Comedy, Crime, Drama",8.2,"The story of six young Indians who assist an English woman to film a documentary on the freedom fighters from their past, and the events that lead them to relive the long-forgotten saga of freedom.",,Rakeysh Omprakash Mehra,Aamir Khan,Soha Ali Khan,Siddharth,Sharman Joshi,111937,"2,197,331" +"https://m.media-amazon.com/images/M/MV5BNTI5MmE5M2UtZjIzYS00M2JjLWIwNDItYTY2ZWNiODBmYTBiXkEyXkFqcGdeQXVyNjQ2MjQ5NzM@._V1_UY98_CR0,0,67,98_AL_.jpg",Black,2005,U,122 min,Drama,8.2,"The cathartic tale of a young woman who can't see, hear or talk and the teacher who brings a ray of light into her dark world.",,Sanjay Leela Bhansali,Amitabh Bachchan,Rani Mukerji,Shernaz Patel,Ayesha Kapoor,33354,"733,094" +"https://m.media-amazon.com/images/M/MV5BOTY4YjI2N2MtYmFlMC00ZjcyLTg3YjEtMDQyM2ZjYzQ5YWFkXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Batman Begins,2005,UA,140 min,"Action, Adventure",8.2,"After training with his mentor, Batman begins his fight to free crime-ridden Gotham City from corruption.",70,Christopher Nolan,Christian Bale,Michael Caine,Ken Watanabe,Liam Neeson,1308302,"206,852,432" +"https://m.media-amazon.com/images/M/MV5BYzExOTcwNjYtZTljMC00YTQ2LWI2YjYtNWFlYzQ0YTJhNzJmXkEyXkFqcGdeQXVyNjQ2MjQ5NzM@._V1_UY98_CR0,0,67,98_AL_.jpg","Swades: We, the People",2004,U,210 min,Drama,8.2,A successful Indian scientist returns to an Indian village to take his nanny to America with him and in the process rediscovers his roots.,,Ashutosh Gowariker,Shah Rukh Khan,Gayatri Joshi,Kishori Ballal,Smit Sheth,83005,"1,223,240" +"https://m.media-amazon.com/images/M/MV5BMTU0NTU5NTAyMl5BMl5BanBnXkFtZTYwNzYwMDg2._V1_UX67_CR0,0,67,98_AL_.jpg",Der Untergang,2004,R,156 min,"Biography, Drama, History",8.2,"Traudl Junge, the final secretary for Adolf Hitler, tells of the Nazi dictator's final days in his Berlin bunker at the end of WWII.",82,Oliver Hirschbiegel,Bruno Ganz,Alexandra Maria Lara,Ulrich Matthes,Juliane Köhler,331308,"5,509,040" +"https://m.media-amazon.com/images/M/MV5BNmM4YTFmMmItMGE3Yy00MmRkLTlmZGEtMzZlOTQzYjk3MzA2XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Hauru no ugoku shiro,2004,U,119 min,"Animation, Adventure, Family",8.2,"When an unconfident young woman is cursed with an old body by a spiteful witch, her only chance of breaking the spell lies with a self-indulgent yet insecure young wizard and his companions in his legged, walking castle.",80,Hayao Miyazaki,Chieko Baishô,Takuya Kimura,Tatsuya Gashûin,Akihiro Miwa,333915,"4,711,096" +"https://m.media-amazon.com/images/M/MV5BMzcwYWFkYzktZjAzNC00OGY1LWI4YTgtNzc5MzVjMDVmNjY0XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",A Beautiful Mind,2001,UA,135 min,"Biography, Drama",8.2,"After John Nash, a brilliant but asocial mathematician, accepts secret work in cryptography, his life takes a turn for the nightmarish.",72,Ron Howard,Russell Crowe,Ed Harris,Jennifer Connelly,Christopher Plummer,848920,"170,742,341" +"https://m.media-amazon.com/images/M/MV5BMGMzZjY2ZWQtZjQxYS00NWY3LThhNjItNWQzNTkzOTllODljXkEyXkFqcGdeQXVyNjY1MTg4Mzc@._V1_UY98_CR1,0,67,98_AL_.jpg",Hera Pheri,2000,U,156 min,"Action, Comedy, Crime",8.2,"Three unemployed men look for answers to all their money problems - but when their opportunity arrives, will they know what to do with it?",,Priyadarshan,Akshay Kumar,Sunil Shetty,Paresh Rawal,Tabu,57057, +"https://m.media-amazon.com/images/M/MV5BMTAyN2JmZmEtNjAyMy00NzYwLThmY2MtYWQ3OGNhNjExMmM4XkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg","Lock, Stock and Two Smoking Barrels",1998,A,107 min,"Action, Comedy, Crime",8.2,"A botched card game in London triggers four friends, thugs, weed-growers, hard gangsters, loan sharks and debt collectors to collide with each other in a series of unexpected events, all for the sake of weed, cash and two antique shotguns.",66,Guy Ritchie,Jason Flemyng,Dexter Fletcher,Nick Moran,Jason Statham,535216,"3,897,569" +"https://m.media-amazon.com/images/M/MV5BMDQ2YzEyZGItYWRhOS00MjBmLTkzMDUtMTdjYzkyMmQxZTJlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",L.A. Confidential,1997,A,138 min,"Crime, Drama, Mystery",8.2,"As corruption grows in 1950s Los Angeles, three policemen - one strait-laced, one brutal, and one sleazy - investigate a series of murders with their own brand of justice.",90,Curtis Hanson,Kevin Spacey,Russell Crowe,Guy Pearce,Kim Basinger,531967,"64,616,940" +"https://m.media-amazon.com/images/M/MV5BOGQ4ZjFmYjktOGNkNS00OWYyLWIyZjgtMGJjM2U1ZTA0ZTlhXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UY98_CR1,0,67,98_AL_.jpg",Eskiya,1996,,128 min,"Crime, Drama, Thriller",8.2,"Baran the Bandit, released from prison after 35 years, searches for vengeance and his lover.",,Yavuz Turgul,Sener Sen,Ugur Yücel,Sermin Hürmeriç,Yesim Salkim,64118, +"https://m.media-amazon.com/images/M/MV5BNGMwNzUwNjYtZWM5NS00YzMyLWI4NjAtNjM0ZDBiMzE1YWExXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Heat,1995,A,170 min,"Crime, Drama, Thriller",8.2,A group of professional bank robbers start to feel the heat from police when they unknowingly leave a clue at their latest heist.,76,Michael Mann,Al Pacino,Robert De Niro,Val Kilmer,Jon Voight,577113,"67,436,818" +"https://m.media-amazon.com/images/M/MV5BMTcxOWYzNDYtYmM4YS00N2NkLTk0NTAtNjg1ODgwZjAxYzI3XkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Casino,1995,A,178 min,"Crime, Drama",8.2,"A tale of greed, deception, money, power, and murder occur between two best friends: a mafia enforcer and a casino executive compete against each other over a gambling empire, and over a fast-living and fast-loving socialite.",73,Martin Scorsese,Robert De Niro,Sharon Stone,Joe Pesci,James Woods,466276,"42,438,300" +"https://m.media-amazon.com/images/M/MV5BZTIwYzRjMGYtZWQ0Ni00NDZhLThhZDYtOGViZGJiZTkwMzk2XkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR3,0,67,98_AL_.jpg",Andaz Apna Apna,1994,U,160 min,"Action, Comedy, Romance",8.2,Two slackers competing for the affections of an heiress inadvertently become her protectors from an evil criminal.,,Rajkumar Santoshi,Aamir Khan,Salman Khan,Raveena Tandon,Karisma Kapoor,49300, +"https://m.media-amazon.com/images/M/MV5BODM3YWY4NmQtN2Y3Ni00OTg0LWFhZGQtZWE3ZWY4MTJlOWU4XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Unforgiven,1992,A,130 min,"Drama, Western",8.2,"Retired Old West gunslinger William Munny reluctantly takes on one last job, with the help of his old partner Ned Logan and a young man, The ""Schofield Kid.""",85,Clint Eastwood,Clint Eastwood,Gene Hackman,Morgan Freeman,Richard Harris,375935,"101,157,447" +"https://m.media-amazon.com/images/M/MV5BMjNkMzc2N2QtNjVlNS00ZTk5LTg0MTgtODY2MDAwNTMwZjBjXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Indiana Jones and the Last Crusade,1989,U,127 min,"Action, Adventure",8.2,"In 1938, after his father Professor Henry Jones, Sr. goes missing while pursuing the Holy Grail, Professor Henry ""Indiana"" Jones, Jr. finds himself up against Adolf Hitler's Nazis again to stop them from obtaining its powers.",65,Steven Spielberg,Harrison Ford,Sean Connery,Alison Doody,Denholm Elliott,692366,"197,171,806" +"https://m.media-amazon.com/images/M/MV5BODI2ZjVlMGQtMWE5ZS00MjJiLWIyMWYtMGU5NmIxNDc0OTMyXkEyXkFqcGdeQXVyMTQ3Njg3MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Dom za vesanje,1988,R,142 min,"Comedy, Crime, Drama",8.2,"In this luminous tale set in the area around Sarajevo and in Italy, Perhan, an engaging young Romany (gypsy) with telekinetic powers, is seduced by the quick-cash world of petty crime, which threatens to destroy him and those he loves.",,Emir Kusturica,Davor Dujmovic,Bora Todorovic,Ljubica Adzovic,Husnija Hasimovic,26402,"280,015" +"https://m.media-amazon.com/images/M/MV5BYzJjMTYyMjQtZDI0My00ZjE2LTkyNGYtOTllNGQxNDMyZjE0XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR1,0,67,98_AL_.jpg",Tonari no Totoro,1988,U,86 min,"Animation, Family, Fantasy",8.2,"When two girls move to the country to be near their ailing mother, they have adventures with the wondrous forest spirits who live nearby.",86,Hayao Miyazaki,Hitoshi Takagi,Noriko Hidaka,Chika Sakamoto,Shigesato Itoi,291180,"1,105,564" +"https://m.media-amazon.com/images/M/MV5BZjRlNDUxZjAtOGQ4OC00OTNlLTgxNmQtYTBmMDgwZmNmNjkxXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Die Hard,1988,A,132 min,"Action, Thriller",8.2,An NYPD officer tries to save his wife and several others taken hostage by German terrorists during a Christmas party at the Nakatomi Plaza in Los Angeles.,72,John McTiernan,Bruce Willis,Alan Rickman,Bonnie Bedelia,Reginald VelJohnson,793164,"83,008,852" +"https://m.media-amazon.com/images/M/MV5BZDBjZTM4ZmEtOTA5ZC00NTQzLTkyNzYtMmUxNGU2YjI5YjU5L2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",Ran,1985,U,162 min,"Action, Drama, War",8.2,"In Medieval Japan, an elderly warlord retires, handing over his empire to his three sons. However, he vastly underestimates how the new-found power will corrupt them and cause them to turn on each other...and him.",96,Akira Kurosawa,Tatsuya Nakadai,Akira Terao,Jinpachi Nezu,Daisuke Ryû,112505,"4,135,750" +"https://m.media-amazon.com/images/M/MV5BYjRmODkzNDItMTNhNi00YjJlLTg0ZjAtODlhZTM0YzgzYThlXkEyXkFqcGdeQXVyNzQ1ODk3MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Raging Bull,1980,A,129 min,"Biography, Drama, Sport",8.2,"The life of boxer Jake LaMotta, whose violence and temper that led him to the top in the ring destroyed his life outside of it.",89,Martin Scorsese,Robert De Niro,Cathy Moriarty,Joe Pesci,Frank Vincent,321860,"23,383,987" +"https://m.media-amazon.com/images/M/MV5BMDgwODNmMGItMDcwYi00OWZjLTgyZjAtMGYwMmI4N2Q0NmJmXkEyXkFqcGdeQXVyNzY1MTU0Njk@._V1_UY98_CR1,0,67,98_AL_.jpg",Stalker,1979,U,162 min,"Drama, Sci-Fi",8.2,A guide leads two men through an area known as the Zone to find a room that grants wishes.,,Andrei Tarkovsky,Alisa Freyndlikh,Aleksandr Kaydanovskiy,Anatoliy Solonitsyn,Nikolay Grinko,116945,"234,723" +"https://m.media-amazon.com/images/M/MV5BNGIyMWRlYTctMWNlMi00ZGIzLThjOTgtZjQzZjRjNmRhMDdlXkEyXkFqcGdeQXVyMTAwMzUyOTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Höstsonaten,1978,U,99 min,"Drama, Music",8.2,"A married daughter who longs for her mother's love is visited by the latter, a successful concert pianist.",,Ingmar Bergman,Ingrid Bergman,Liv Ullmann,Lena Nyman,Halvar Björk,26875, +"https://m.media-amazon.com/images/M/MV5BMjk3YjJmYTctMTAzZC00MzE4LWFlZGMtNDM5OTMyMDEzZWIxXkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",The Message,1976,PG,177 min,"Biography, Drama, History",8.2,This epic historical drama chronicles the life and times of Prophet Muhammad and serves as an introduction to early Islamic history.,,Moustapha Akkad,Anthony Quinn,Irene Papas,Michael Ansara,Johnny Sekka,43885, +"https://m.media-amazon.com/images/M/MV5BOGZiM2IwODktNTdiMC00MGU1LWEyZTYtOTk4NTkwYmJkNmI1L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UY98_CR2,0,67,98_AL_.jpg",Sholay,1975,U,204 min,"Action, Adventure, Comedy",8.2,"After his family is murdered by a notorious and ruthless bandit, a former police officer enlists the services of two outlaws to capture the bandit.",,Ramesh Sippy,Sanjeev Kumar,Dharmendra,Amitabh Bachchan,Amjad Khan,51284, +"https://m.media-amazon.com/images/M/MV5BN2IyNTE4YzUtZWU0Mi00MGIwLTgyMmQtMzQ4YzQxYWNlYWE2XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Monty Python and the Holy Grail,1975,PG,91 min,"Adventure, Comedy, Fantasy",8.2,"King Arthur and his Knights of the Round Table embark on a surreal, low-budget search for the Holy Grail, encountering many, very silly obstacles.",91,Terry Gilliam,Terry Jones,Graham Chapman,John Cleese,Eric Idle,500875,"1,229,197" +"https://m.media-amazon.com/images/M/MV5BNzA2NmYxMWUtNzBlMC00MWM2LTkwNmQtYTFlZjQwODNhOWE0XkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Great Escape,1963,U,172 min,"Adventure, Drama, History",8.2,Allied prisoners of war plan for several hundred of their number to escape from a German camp during World War II.,86,John Sturges,Steve McQueen,James Garner,Richard Attenborough,Charles Bronson,224730,"12,100,000" +"https://m.media-amazon.com/images/M/MV5BNmVmYzcwNzMtMWM1NS00MWIyLThlMDEtYzUwZDgzODE1NmE2XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",To Kill a Mockingbird,1962,U,129 min,"Crime, Drama",8.2,"Atticus Finch, a lawyer in the Depression-era South, defends a black man against an undeserved rape charge, and his children against prejudice.",88,Robert Mulligan,Gregory Peck,John Megna,Frank Overton,Rosemary Murphy,293811, +"https://m.media-amazon.com/images/M/MV5BZThiZjAzZjgtNDU3MC00YThhLThjYWUtZGRkYjc2ZWZlOTVjXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Yôjinbô,1961,,110 min,"Action, Drama, Thriller",8.2,A crafty ronin comes to a town divided by two criminal gangs and decides to play them against each other to free the town.,,Akira Kurosawa,Toshirô Mifune,Eijirô Tôno,Tatsuya Nakadai,Yôko Tsukasa,111244, +"https://m.media-amazon.com/images/M/MV5BNDc2ODQ5NTE2MV5BMl5BanBnXkFtZTcwODExMjUyNA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Judgment at Nuremberg,1961,A,179 min,"Drama, War",8.2,"In 1948, an American court in occupied Germany tries four Nazis judged for war crimes.",60,Stanley Kramer,Spencer Tracy,Burt Lancaster,Richard Widmark,Marlene Dietrich,69458, +"https://m.media-amazon.com/images/M/MV5BNzAyOGIxYjAtMGY2NC00ZTgyLWIwMWEtYzY0OWQ4NDFjOTc5XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Some Like It Hot,1959,U,121 min,"Comedy, Music, Romance",8.2,"After two male musicians witness a mob hit, they flee the state in an all-female band disguised as women, but further complications set in.",98,Billy Wilder,Marilyn Monroe,Tony Curtis,Jack Lemmon,George Raft,243943,"25,000,000" +"https://m.media-amazon.com/images/M/MV5BZjJhNTBmNTgtMDViOC00NDY2LWE4N2ItMDJiM2ZiYmQzYzliXkEyXkFqcGdeQXVyMzg1ODEwNQ@@._V1_UY98_CR0,0,67,98_AL_.jpg",Smultronstället,1957,U,91 min,"Drama, Romance",8.2,"After living a life marked by coldness, an aging professor is forced to confront the emptiness of his existence.",88,Ingmar Bergman,Victor Sjöström,Bibi Andersson,Ingrid Thulin,Gunnar Björnstrand,96381, +"https://m.media-amazon.com/images/M/MV5BM2I1ZWU4YjMtYzU0My00YmMzLWFmNTAtZDJhZGYwMmI3YWQ5XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Det sjunde inseglet,1957,A,96 min,"Drama, Fantasy, History",8.2,"A man seeks answers about life, death, and the existence of God as he plays chess against the Grim Reaper during the Black Plague.",88,Ingmar Bergman,Max von Sydow,Gunnar Björnstrand,Bengt Ekerot,Nils Poppe,164939, +"https://m.media-amazon.com/images/M/MV5BNjZmZGRiMDgtNDkwNi00OTZhLWFhZmMtYTdkYjgyNThhOWY3XkEyXkFqcGdeQXVyMTA1NTM1NDI2._V1_UX67_CR0,0,67,98_AL_.jpg",Du rififi chez les hommes,1955,,118 min,"Crime, Drama, Thriller",8.2,"Four men plan a technically perfect crime, but the human element intervenes...",97,Jules Dassin,Jean Servais,Carl Möhner,Robert Manuel,Janine Darcey,28810,"57,226" +"https://m.media-amazon.com/images/M/MV5BOWIwODIxYWItZDI4MS00YzhhLWE3MmYtMzlhZDIwOTMzZmE5L2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Dial M for Murder,1954,A,105 min,"Crime, Thriller",8.2,A former tennis player tries to arrange his wife's murder after learning of her affair.,75,Alfred Hitchcock,Ray Milland,Grace Kelly,Robert Cummings,John Williams,158335,"12,562" +"https://m.media-amazon.com/images/M/MV5BYWQ4ZTRiODktNjAzZC00Nzg1LTk1YWQtNDFmNDI0NmZiNGIwXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR0,0,67,98_AL_.jpg",Tôkyô monogatari,1953,U,136 min,Drama,8.2,"An old couple visit their children and grandchildren in the city, but receive little attention.",,Yasujirô Ozu,Chishû Ryû,Chieko Higashiyama,Sô Yamamura,Setsuko Hara,53153, +"https://m.media-amazon.com/images/M/MV5BMjEzMzA4NDE2OF5BMl5BanBnXkFtZTcwNTc5MDI2NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Rashômon,1950,,88 min,"Crime, Drama, Mystery",8.2,"The rape of a bride and the murder of her samurai husband are recalled from the perspectives of a bandit, the bride, the samurai's ghost and a woodcutter.",98,Akira Kurosawa,Toshirô Mifune,Machiko Kyô,Masayuki Mori,Takashi Shimura,152572,"96,568" +"https://m.media-amazon.com/images/M/MV5BMTY2MTAzODI5NV5BMl5BanBnXkFtZTgwMjM4NzQ0MjE@._V1_UX67_CR0,0,67,98_AL_.jpg",All About Eve,1950,Passed,138 min,Drama,8.2,A seemingly timid but secretly ruthless ingénue insinuates herself into the lives of an aging Broadway star and her circle of theater friends.,98,Joseph L. Mankiewicz,Bette Davis,Anne Baxter,George Sanders,Celeste Holm,120539,"10,177" +"https://m.media-amazon.com/images/M/MV5BOTJlZWMxYzEtMjlkMS00ODE0LThlM2ItMDI3NGQ2YjhmMzkxXkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Treasure of the Sierra Madre,1948,Passed,126 min,"Adventure, Drama, Western",8.2,Two Americans searching for work in Mexico convince an old prospector to help them mine for gold in the Sierra Madre Mountains.,98,John Huston,Humphrey Bogart,Walter Huston,Tim Holt,Bruce Bennett,114304,"5,014,000" +"https://m.media-amazon.com/images/M/MV5BYTIwNDcyMjktMTczMy00NDM5LTlhNDEtMmE3NGVjOTM2YjQ3XkEyXkFqcGdeQXVyNjc0MzMzNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",To Be or Not to Be,1942,Passed,99 min,"Comedy, War",8.2,"During the Nazi occupation of Poland, an acting troupe becomes embroiled in a Polish soldier's efforts to track down a German spy.",86,Ernst Lubitsch,Carole Lombard,Jack Benny,Robert Stack,Felix Bressart,29915, +"https://m.media-amazon.com/images/M/MV5BZjEyOTE4MzMtNmMzMy00Mzc3LWJlOTQtOGJiNDE0ZmJiOTU4L2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR2,0,67,98_AL_.jpg",The Gold Rush,1925,Passed,95 min,"Adventure, Comedy, Drama",8.2,A prospector goes to the Klondike in search of gold and finds it and more.,,Charles Chaplin,Charles Chaplin,Mack Swain,Tom Murray,Henry Bergman,101053,"5,450,000" +"https://m.media-amazon.com/images/M/MV5BZWFhOGU5NDctY2Q3YS00Y2VlLWI1NzEtZmIwY2ZiZjY4OTA2XkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Sherlock Jr.,1924,Passed,45 min,"Action, Comedy, Romance",8.2,"A film projectionist longs to be a detective, and puts his meagre skills to work when he is framed by a rival for stealing his girlfriend's father's pocketwatch.",,Buster Keaton,Buster Keaton,Kathryn McGuire,Joe Keaton,Erwin Connelly,41985,"977,375" +"https://m.media-amazon.com/images/M/MV5BNjgwNjkwOWYtYmM3My00NzI1LTk5OGItYWY0OTMyZTY4OTg2XkEyXkFqcGdeQXVyODk4OTc3MTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Portrait de la jeune fille en feu,2019,R,122 min,"Drama, Romance",8.1,"On an isolated island in Brittany at the end of the eighteenth century, a female painter is obliged to paint a wedding portrait of a young woman.",95,Céline Sciamma,Noémie Merlant,Adèle Haenel,Luàna Bajrami,Valeria Golino,63134,"3,759,854" +"https://m.media-amazon.com/images/M/MV5BNGI1MTI1YTQtY2QwYi00YzUzLTg3NWYtNzExZDlhOTZmZWU0XkEyXkFqcGdeQXVyMDkwNTkwNg@@._V1_UY98_CR3,0,67,98_AL_.jpg",Pink,2016,UA,136 min,"Drama, Thriller",8.1,"When three young women are implicated in a crime, a retired lawyer steps forward to help them clear their names.",,Aniruddha Roy Chowdhury,Taapsee Pannu,Amitabh Bachchan,Kirti Kulhari,Andrea Tariang,39216,"1,241,223" +"https://m.media-amazon.com/images/M/MV5BZGRkOGMxYTUtZTBhYS00NzI3LWEzMDQtOWRhMmNjNjJjMzM4XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR0,0,67,98_AL_.jpg",Koe no katachi,2016,16,130 min,"Animation, Drama, Family",8.1,"A young man is ostracized by his classmates after he bullies a deaf girl to the point where she moves away. Years later, he sets off on a path for redemption.",78,Naoko Yamada,Miyu Irino,Saori Hayami,Aoi Yûki,Kenshô Ono,47708, +"https://m.media-amazon.com/images/M/MV5BMDk0YzAwYjktMWFiZi00Y2FmLWJmMmMtMzUyZDZmMmU5MjkzXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR1,0,67,98_AL_.jpg",Contratiempo,2016,TV-MA,106 min,"Crime, Drama, Mystery",8.1,A successful entrepreneur accused of murder and a witness preparation expert have less than three hours to come up with an impregnable defense.,,Oriol Paulo,Mario Casas,Ana Wagener,Jose Coronado,Bárbara Lennie,141516, +"https://m.media-amazon.com/images/M/MV5BNDJhYTk2MTctZmVmOS00OTViLTgxNjQtMzQxOTRiMDdmNGRjXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR0,0,67,98_AL_.jpg",Ah-ga-ssi,2016,A,145 min,"Drama, Romance, Thriller",8.1,"A woman is hired as a handmaiden to a Japanese heiress, but secretly she is involved in a plot to defraud her.",84,Chan-wook Park,Kim Min-hee,Jung-woo Ha,Cho Jin-woong,Moon So-Ri,113649,"2,006,788" +"https://m.media-amazon.com/images/M/MV5BMGI3YWFmNDQtNjc0Ny00ZDBjLThlNjYtZTc1ZTk5MzU2YTVjXkEyXkFqcGdeQXVyNzA4ODc3ODU@._V1_UY98_CR1,0,67,98_AL_.jpg",Mommy,2014,R,139 min,Drama,8.1,"A widowed single mother, raising her violent son alone, finds new hope when a mysterious neighbor inserts herself into their household.",74,Xavier Dolan,Anne Dorval,Antoine Olivier Pilon,Suzanne Clément,Patrick Huard,50700,"3,492,754" +"https://m.media-amazon.com/images/M/MV5BMjA1NTEwMDMxMF5BMl5BanBnXkFtZTgwODkzMzI0MjE@._V1_UY98_CR0,0,67,98_AL_.jpg",Haider,2014,UA,160 min,"Action, Crime, Drama",8.1,"A young man returns to Kashmir after his father's disappearance to confront his uncle, whom he suspects of playing a role in his father's fate.",,Vishal Bhardwaj,Shahid Kapoor,Tabu,Shraddha Kapoor,Kay Kay Menon,50445,"901,610" +"https://m.media-amazon.com/images/M/MV5BYzc5MTU4N2EtYTkyMi00NjdhLTg3NWEtMTY4OTEyMzJhZTAzXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Logan,2017,A,137 min,"Action, Drama, Sci-Fi",8.1,"In a future where mutants are nearly extinct, an elderly and weary Logan leads a quiet life. But when Laura, a mutant child pursued by scientists, comes to him for help, he must get her to safety.",77,James Mangold,Hugh Jackman,Patrick Stewart,Dafne Keen,Boyd Holbrook,647884,"226,277,068" +"https://m.media-amazon.com/images/M/MV5BMjE4NzgzNzEwMl5BMl5BanBnXkFtZTgwMTMzMDE0NjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Room,2015,R,118 min,"Drama, Thriller",8.1,"Held captive for 7 years in an enclosed space, a woman and her young son finally gain their freedom, allowing the boy to experience the outside world for the first time.",86,Lenny Abrahamson,Brie Larson,Jacob Tremblay,Sean Bridgers,Wendy Crewson,371538,"14,677,674" +"https://m.media-amazon.com/images/M/MV5BNGQzY2Y0MTgtMDA4OC00NjM3LWI0ZGQtNTJlM2UxZDQxZjI0XkEyXkFqcGdeQXVyNDUzOTQ5MjY@._V1_UY98_CR1,0,67,98_AL_.jpg",Relatos salvajes,2014,R,122 min,"Comedy, Drama, Thriller",8.1,Six short stories that explore the extremities of human behavior involving people in distress.,77,Damián Szifron,Darío Grandinetti,María Marull,Mónica Villa,Diego Starosta,177059,"3,107,072" +"https://m.media-amazon.com/images/M/MV5BZGE1MDg5M2MtNTkyZS00MTY5LTg1YzUtZTlhZmM1Y2EwNmFmXkEyXkFqcGdeQXVyNjA3OTI0MDc@._V1_UX67_CR0,0,67,98_AL_.jpg",Soul,2020,U,100 min,"Animation, Adventure, Comedy",8.1,"After landing the gig of a lifetime, a New York jazz pianist suddenly finds himself trapped in a strange land between Earth and the afterlife.",83,Pete Docter,Kemp Powers,Jamie Foxx,Tina Fey,Graham Norton,159171, +"https://m.media-amazon.com/images/M/MV5BYzE2MjEwMTQtOTQ2Mi00ZWExLTkyMjUtNmJjMjBlYWFjZDdlXkEyXkFqcGdeQXVyMTI3ODAyMzE2._V1_UY98_CR0,0,67,98_AL_.jpg",Kis Uykusu,2014,,196 min,Drama,8.1,A hotel owner and landlord in a remote Turkish village deals with conflicts within his family and a tenant behind on his rent.,88,Nuri Bilge Ceylan,Haluk Bilginer,Melisa Sözen,Demet Akbag,Ayberk Pekcan,46547,"165,520" +"https://m.media-amazon.com/images/M/MV5BMTYzOTE2NjkxN15BMl5BanBnXkFtZTgwMDgzMTg0MzE@._V1_UY98_CR0,0,67,98_AL_.jpg",PK,2014,UA,153 min,"Comedy, Drama, Musical",8.1,An alien on Earth loses the only device he can use to communicate with his spaceship. His innocent nature and child-like questions force the country to evaluate the impact of religion on its people.,,Rajkumar Hirani,Aamir Khan,Anushka Sharma,Sanjay Dutt,Boman Irani,163061,"10,616,104" +"https://m.media-amazon.com/images/M/MV5BMGNhYjUwNmYtNDQxNi00NDdmLTljMDAtZWM1NDQyZTk3ZDYwXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR0,0,67,98_AL_.jpg",OMG: Oh My God!,2012,U,125 min,"Comedy, Drama, Fantasy",8.1,A shopkeeper takes God to court when his shop is destroyed by an earthquake.,,Umesh Shukla,Paresh Rawal,Akshay Kumar,Mithun Chakraborty,Mahesh Manjrekar,51739,"923,221" +"https://m.media-amazon.com/images/M/MV5BMzM5NjUxOTEyMl5BMl5BanBnXkFtZTgwNjEyMDM0MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Grand Budapest Hotel,2014,UA,99 min,"Adventure, Comedy, Crime",8.1,"A writer encounters the owner of an aging high-class hotel, who tells him of his early years serving as a lobby boy in the hotel's glorious years under an exceptional concierge.",88,Wes Anderson,Ralph Fiennes,F. Murray Abraham,Mathieu Amalric,Adrien Brody,707630,"59,100,318" +"https://m.media-amazon.com/images/M/MV5BMTk0MDQ3MzAzOV5BMl5BanBnXkFtZTgwNzU1NzE3MjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Gone Girl,2014,A,149 min,"Drama, Mystery, Thriller",8.1,"With his wife's disappearance having become the focus of an intense media circus, a man sees the spotlight turned on him when it's suspected that he may not be innocent.",79,David Fincher,Ben Affleck,Rosamund Pike,Neil Patrick Harris,Tyler Perry,859695,"167,767,189" +"https://m.media-amazon.com/images/M/MV5BYzQxNDZhNDUtNDUwOC00NjQyLTg2OWUtZWVlYThjYjYyMTc2XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",Ôkami kodomo no Ame to Yuki,2012,U,117 min,"Animation, Drama, Fantasy",8.1,"After her werewolf lover unexpectedly dies in an accident while hunting for food for their children, a young woman must find ways to raise the werewolf son and daughter that she had with him while keeping their trait hidden from society.",71,Mamoru Hosoda,Aoi Miyazaki,Takao Osawa,Haru Kuroki,Yukito Nishii,38803, +"https://m.media-amazon.com/images/M/MV5BMjQ1NjM3MTUxNV5BMl5BanBnXkFtZTgwMDc5MTY5OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Hacksaw Ridge,2016,A,139 min,"Biography, Drama, History",8.1,"World War II American Army Medic Desmond T. Doss, who served during the Battle of Okinawa, refuses to kill people, and becomes the first man in American history to receive the Medal of Honor without firing a shot.",71,Mel Gibson,Andrew Garfield,Sam Worthington,Luke Bracey,Teresa Palmer,435928,"67,209,615" +"https://m.media-amazon.com/images/M/MV5BOTgxMDQwMDk0OF5BMl5BanBnXkFtZTgwNjU5OTg2NDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Inside Out,2015,U,95 min,"Animation, Adventure, Comedy",8.1,"After young Riley is uprooted from her Midwest life and moved to San Francisco, her emotions - Joy, Fear, Anger, Disgust and Sadness - conflict on how best to navigate a new city, house, and school.",94,Pete Docter,Ronnie Del Carmen,Amy Poehler,Bill Hader,Lewis Black,616228,"356,461,711" +"https://m.media-amazon.com/images/M/MV5BMTQzMTEyODY2Ml5BMl5BanBnXkFtZTgwMjA0MDUyMjE@._V1_UY98_CR0,0,67,98_AL_.jpg",Barfi!,2012,U,151 min,"Comedy, Drama, Romance",8.1,Three young people learn that love can neither be defined nor contained by society's definition of normal and abnormal.,,Anurag Basu,Ranbir Kapoor,Priyanka Chopra,Ileana D'Cruz,Saurabh Shukla,75721,"2,804,874" +"https://m.media-amazon.com/images/M/MV5BMjExMTEzODkyN15BMl5BanBnXkFtZTcwNTU4NTc4OQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",12 Years a Slave,2013,A,134 min,"Biography, Drama, History",8.1,"In the antebellum United States, Solomon Northup, a free black man from upstate New York, is abducted and sold into slavery.",96,Steve McQueen,Chiwetel Ejiofor,Michael Kenneth Williams,Michael Fassbender,Brad Pitt,640533,"56,671,993" +"https://m.media-amazon.com/images/M/MV5BOWEwODJmZDItYTNmZC00OGM4LThlNDktOTQzZjIzMGQxODA4XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Rush,2013,UA,123 min,"Action, Biography, Drama",8.1,The merciless 1970s rivalry between Formula One rivals James Hunt and Niki Lauda.,74,Ron Howard,Daniel Brühl,Chris Hemsworth,Olivia Wilde,Alexandra Maria Lara,432811,"26,947,624" +"https://m.media-amazon.com/images/M/MV5BM2UwMDVmMDItM2I2Yi00NGZmLTk4ZTUtY2JjNTQ3OGQ5ZjM2XkEyXkFqcGdeQXVyMTA1OTYzOTUx._V1_UX67_CR0,0,67,98_AL_.jpg",Ford v Ferrari,2019,UA,152 min,"Action, Biography, Drama",8.1,American car designer Carroll Shelby and driver Ken Miles battle corporate interference and the laws of physics to build a revolutionary race car for Ford in order to defeat Ferrari at the 24 Hours of Le Mans in 1966.,81,James Mangold,Matt Damon,Christian Bale,Jon Bernthal,Caitriona Balfe,291289,"117,624,028" +"https://m.media-amazon.com/images/M/MV5BMjIyOTM5OTIzNV5BMl5BanBnXkFtZTgwMDkzODE2NjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Spotlight,2015,A,129 min,"Biography, Crime, Drama",8.1,"The true story of how the Boston Globe uncovered the massive scandal of child molestation and cover-up within the local Catholic Archdiocese, shaking the entire Catholic Church to its core.",93,Tom McCarthy,Mark Ruffalo,Michael Keaton,Rachel McAdams,Liev Schreiber,420316,"45,055,776" +"https://m.media-amazon.com/images/M/MV5BMTQ2MDMwNjEwNV5BMl5BanBnXkFtZTgwOTkxMzI0MzE@._V1_UY98_CR0,0,67,98_AL_.jpg",Song of the Sea,2014,PG,93 min,"Animation, Adventure, Drama",8.1,"Ben, a young Irish boy, and his little sister Saoirse, a girl who can turn into a seal, go on an adventure to free the fairies and save the spirit world.",85,Tomm Moore,David Rawle,Brendan Gleeson,Lisa Hannigan,Fionnula Flanagan,51679,"857,524" +"https://m.media-amazon.com/images/M/MV5BMTQ1NDI0NzkyOF5BMl5BanBnXkFtZTcwNzAyNzE2Nw@@._V1_UY98_CR0,0,67,98_AL_.jpg",Kahaani,2012,UA,122 min,"Mystery, Thriller",8.1,"A pregnant woman's search for her missing husband takes her from London to Kolkata, but everyone she questions denies having ever met him.",,Sujoy Ghosh,Vidya Balan,Parambrata Chattopadhyay,Indraneil Sengupta,Nawazuddin Siddiqui,57806,"1,035,953" +"https://m.media-amazon.com/images/M/MV5BZGFmMjM5OWMtZTRiNC00ODhlLThlYTItYTcyZDMyYmMyYjFjXkEyXkFqcGdeQXVyNDUzOTQ5MjY@._V1_UY98_CR0,0,67,98_AL_.jpg",Zindagi Na Milegi Dobara,2011,U,155 min,"Comedy, Drama",8.1,Three friends decide to turn their fantasy vacation into reality after one of their friends gets engaged.,,Zoya Akhtar,Hrithik Roshan,Farhan Akhtar,Abhay Deol,Katrina Kaif,67927,"3,108,485" +"https://m.media-amazon.com/images/M/MV5BMTg0NTIzMjQ1NV5BMl5BanBnXkFtZTcwNDc3MzM5OQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Prisoners,2013,A,153 min,"Crime, Drama, Mystery",8.1,"When Keller Dover's daughter and her friend go missing, he takes matters into his own hands as the police pursue multiple leads and the pressure mounts.",70,Denis Villeneuve,Hugh Jackman,Jake Gyllenhaal,Viola Davis,Melissa Leo,601149,"61,002,302" +"https://m.media-amazon.com/images/M/MV5BN2EwM2I5OWMtMGQyMi00Zjg1LWJkNTctZTdjYTA4OGUwZjMyXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Mad Max: Fury Road,2015,UA,120 min,"Action, Adventure, Sci-Fi",8.1,"In a post-apocalyptic wasteland, a woman rebels against a tyrannical ruler in search for her homeland with the aid of a group of female prisoners, a psychotic worshiper, and a drifter named Max.",90,George Miller,Tom Hardy,Charlize Theron,Nicholas Hoult,Zoë Kravitz,882316,"154,058,340" +"https://m.media-amazon.com/images/M/MV5BOTcwMzdiMWItMjZlOS00MzAzLTg5OTItNTA4OGYyMjBhMmRiXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR1,0,67,98_AL_.jpg",A Wednesday,2008,UA,104 min,"Action, Crime, Drama",8.1,A retiring police officer reminisces about the most astounding day of his career. About a case that was never filed but continues to haunt him in his memories - the case of a man and a Wednesday.,,Neeraj Pandey,Anupam Kher,Naseeruddin Shah,Jimmy Sheirgill,Aamir Bashir,73891, +"https://m.media-amazon.com/images/M/MV5BMTc5NTk2OTU1Nl5BMl5BanBnXkFtZTcwMDc3NjAwMg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Gran Torino,2008,R,116 min,Drama,8.1,"Disgruntled Korean War veteran Walt Kowalski sets out to reform his neighbor, Thao Lor, a Hmong teenager who tried to steal Kowalski's prized possession: a 1972 Gran Torino.",72,Clint Eastwood,Clint Eastwood,Bee Vang,Christopher Carley,Ahney Her,720450,"148,095,302" +"https://m.media-amazon.com/images/M/MV5BMGVmMWNiMDktYjQ0Mi00MWIxLTk0N2UtN2ZlYTdkN2IzNDNlXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Harry Potter and the Deathly Hallows: Part 2,2011,UA,130 min,"Adventure, Drama, Fantasy",8.1,"Harry, Ron, and Hermione search for Voldemort's remaining Horcruxes in their effort to destroy the Dark Lord as the final battle rages on at Hogwarts.",85,David Yates,Daniel Radcliffe,Emma Watson,Rupert Grint,Michael Gambon,764493,"381,011,219" +"https://m.media-amazon.com/images/M/MV5BMTUzOTcwOTA2NV5BMl5BanBnXkFtZTcwNDczMzczMg@@._V1_UY98_CR0,0,67,98_AL_.jpg",Okuribito,2008,PG-13,130 min,"Drama, Music",8.1,A newly unemployed cellist takes a job preparing the dead for funerals.,68,Yôjirô Takita,Masahiro Motoki,Ryôko Hirosue,Tsutomu Yamazaki,Kazuko Yoshiyuki,48582,"1,498,210" +"https://m.media-amazon.com/images/M/MV5BNzE4NDg5OWMtMzg3NC00ZDRjLTllMDMtZTRjNWZmNjBmMGZlXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR1,0,67,98_AL_.jpg",Hachi: A Dog's Tale,2009,G,93 min,"Biography, Drama, Family",8.1,A college professor bonds with an abandoned dog he takes into his home.,,Lasse Hallström,Richard Gere,Joan Allen,Cary-Hiroyuki Tagawa,Sarah Roemer,253575, +"https://m.media-amazon.com/images/M/MV5BMDgzYjQwMDMtNGUzYi00MTRmLWIyMGMtNjE1OGZkNzY2YWIzL2ltYWdlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UY98_CR1,0,67,98_AL_.jpg",Mary and Max,2009,,92 min,"Animation, Comedy, Drama",8.1,"A tale of friendship between two unlikely pen pals: Mary, a lonely, eight-year-old girl living in the suburbs of Melbourne, and Max, a forty-four-year old, severely obese man living in New York.",,Adam Elliot,Toni Collette,Philip Seymour Hoffman,Eric Bana,Barry Humphries,164462, +"https://m.media-amazon.com/images/M/MV5BMjA5NDQyMjc2NF5BMl5BanBnXkFtZTcwMjg5ODcyMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",How to Train Your Dragon,2010,U,98 min,"Animation, Action, Adventure",8.1,"A hapless young Viking who aspires to hunt dragons becomes the unlikely friend of a young dragon himself, and learns there may be more to the creatures than he assumed.",75,Dean DeBlois,Chris Sanders,Jay Baruchel,Gerard Butler,Christopher Mintz-Plasse,666773,"217,581,231" +"https://m.media-amazon.com/images/M/MV5BMTAwNDEyODU1MjheQTJeQWpwZ15BbWU2MDc3NDQwNw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Into the Wild,2007,R,148 min,"Adventure, Biography, Drama",8.1,"After graduating from Emory University, top student and athlete Christopher McCandless abandons his possessions, gives his entire $24,000 savings account to charity and hitchhikes to Alaska to live in the wilderness. Along the way, Christopher encounters a series of characters that shape his life.",73,Sean Penn,Emile Hirsch,Vince Vaughn,Catherine Keener,Marcia Gay Harden,572921,"18,354,356" +"https://m.media-amazon.com/images/M/MV5BMjA5Njk3MjM4OV5BMl5BanBnXkFtZTcwMTc5MTE1MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",No Country for Old Men,2007,R,122 min,"Crime, Drama, Thriller",8.1,Violence and mayhem ensue after a hunter stumbles upon a drug deal gone wrong and more than two million dollars in cash near the Rio Grande.,91,Ethan Coen,Joel Coen,Tommy Lee Jones,Javier Bardem,Josh Brolin,856916,"74,283,625" +"https://m.media-amazon.com/images/M/MV5BN2ZmMDMwODgtMzA5MS00MGU0LWEyYTgtYzQ5MmQzMzU2NTVkXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR0,0,67,98_AL_.jpg",Lage Raho Munna Bhai,2006,U,144 min,"Comedy, Drama, Romance",8.1,Munna Bhai embarks on a journey with Mahatma Gandhi in order to fight against a corrupt property dealer.,,Rajkumar Hirani,Sanjay Dutt,Arshad Warsi,Vidya Balan,Boman Irani,43137,"2,217,561" +"https://m.media-amazon.com/images/M/MV5BMTkxNzA1NDQxOV5BMl5BanBnXkFtZTcwNTkyMTIzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Million Dollar Baby,2004,UA,132 min,"Drama, Sport",8.1,A determined woman works with a hardened boxing trainer to become a professional.,86,Clint Eastwood,Hilary Swank,Clint Eastwood,Morgan Freeman,Jay Baruchel,635975,"100,492,203" +"https://m.media-amazon.com/images/M/MV5BZGJjYmIzZmQtNWE4Yy00ZGVmLWJkZGEtMzUzNmQ4ZWFlMjRhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Hotel Rwanda,2004,PG-13,121 min,"Biography, Drama, History",8.1,"Paul Rusesabagina, a hotel manager, houses over a thousand Tutsi refugees during their struggle against the Hutu militia in Rwanda, Africa.",79,Terry George,Don Cheadle,Sophie Okonedo,Joaquin Phoenix,Xolani Mali,334320,"23,530,892" +"https://m.media-amazon.com/images/M/MV5BNjAxZTEzNzQtYjdlNy00ZTJmLTkwZDUtOTAwNTM3YjI2MWUyL2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Taegukgi hwinalrimyeo,2004,R,140 min,"Action, Drama, War",8.1,"When two brothers are forced to fight in the Korean War, the elder decides to take the riskiest missions if it will help shield the younger from battle.",64,Je-kyu Kang,Jang Dong-Gun,Won Bin,Eun-ju Lee,Hyeong-jin Kong,37820,"1,111,061" +"https://m.media-amazon.com/images/M/MV5BMTQ1MjAwNTM5Ml5BMl5BanBnXkFtZTYwNDM0MTc3._V1_UX67_CR0,0,67,98_AL_.jpg",Before Sunset,2004,R,80 min,"Drama, Romance",8.1,"Nine years after Jesse and Celine first met, they encounter each other again on the French leg of Jesse's book tour.",90,Richard Linklater,Ethan Hawke,Julie Delpy,Vernon Dobtcheff,Louise Lemoine Torrès,236311,"5,820,649" +"https://m.media-amazon.com/images/M/MV5BMzQ4MTBlYTQtMzJkYS00OGNjLTk1MWYtNzQ0OTQ0OWEyOWU1XkEyXkFqcGdeQXVyNDgyODgxNjE@._V1_UY98_CR1,0,67,98_AL_.jpg",Munna Bhai M.B.B.S.,2003,U,156 min,"Comedy, Drama, Musical",8.1,A gangster sets out to fulfill his father's dream of becoming a doctor.,,Rajkumar Hirani,Sanjay Dutt,Arshad Warsi,Gracy Singh,Sunil Dutt,73992, +"https://m.media-amazon.com/images/M/MV5BOGViNTg4YTktYTQ2Ni00MTU0LTk2NWUtMTI4OTc1YTM0NzQ2XkEyXkFqcGdeQXVyMDM2NDM2MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Salinui chueok,2003,UA,131 min,"Crime, Drama, Mystery",8.1,"In a small Korean province in 1986, two detectives struggle with the case of multiple young women being found raped and murdered by an unknown culprit.",82,Bong Joon Ho,Kang-ho Song,Kim Sang-kyung,Roe-ha Kim,Jae-ho Song,139558,"14,131" +"https://m.media-amazon.com/images/M/MV5BMjRjMTYwMTYtMmRkNi00MmVkLWE0MjQtNmM3YjI0NWFhZDNmXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Dil Chahta Hai,2001,Unrated,183 min,"Comedy, Drama, Romance",8.1,"Three inseparable childhood friends are just out of college. Nothing comes between them - until they each fall in love, and their wildly different approaches to relationships creates tension.",,Farhan Akhtar,Aamir Khan,Saif Ali Khan,Akshaye Khanna,Preity Zinta,66803,"300,000" +"https://m.media-amazon.com/images/M/MV5BNzM3NDFhYTAtYmU5Mi00NGRmLTljYjgtMDkyODQ4MjNkMGY2XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Kill Bill: Vol. 1,2003,R,111 min,"Action, Crime, Drama",8.1,"After awakening from a four-year coma, a former assassin wreaks vengeance on the team of assassins who betrayed her.",69,Quentin Tarantino,Uma Thurman,David Carradine,Daryl Hannah,Michael Madsen,1000639,"70,099,045" +"https://m.media-amazon.com/images/M/MV5BZTAzNWZlNmUtZDEzYi00ZjA5LWIwYjEtZGM1NWE1MjE4YWRhXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Finding Nemo,2003,U,100 min,"Animation, Adventure, Comedy",8.1,"After his son is captured in the Great Barrier Reef and taken to Sydney, a timid clownfish sets out on a journey to bring him home.",90,Andrew Stanton,Lee Unkrich,Albert Brooks,Ellen DeGeneres,Alexander Gould,949565,"380,843,261" +"https://m.media-amazon.com/images/M/MV5BMTY5MzYzNjc5NV5BMl5BanBnXkFtZTYwNTUyNTc2._V1_UX67_CR0,0,67,98_AL_.jpg",Catch Me If You Can,2002,A,141 min,"Biography, Crime, Drama",8.1,"Barely 21 yet, Frank is a skilled forger who has passed as a doctor, lawyer and pilot. FBI agent Carl becomes obsessed with tracking down the con man, who only revels in the pursuit.",75,Steven Spielberg,Leonardo DiCaprio,Tom Hanks,Christopher Walken,Martin Sheen,832846,"164,615,351" +"https://m.media-amazon.com/images/M/MV5BMjQxMWJhMzMtMzllZi00NzMwLTllYjktNTcwZmU4ZmU3NTA0XkEyXkFqcGdeQXVyMTAzMDM4MjM0._V1_UY98_CR3,0,67,98_AL_.jpg",Amores perros,2000,A,154 min,"Drama, Thriller",8.1,"A horrific car accident connects three stories, each involving characters dealing with loss, regret, and life's harsh realities, all in the name of love.",83,Alejandro G. Iñárritu,Emilio Echevarría,Gael García Bernal,Goya Toledo,Álvaro Guerrero,223741,"5,383,834" +"https://m.media-amazon.com/images/M/MV5BMTY1NTI0ODUyOF5BMl5BanBnXkFtZTgwNTEyNjQ0MDE@._V1_UX67_CR0,0,67,98_AL_.jpg","Monsters, Inc.",2001,U,92 min,"Animation, Adventure, Comedy",8.1,"In order to power the city, monsters have to scare children so that they scream. However, the children are toxic to the monsters, and after a child gets through, 2 monsters realize things may not be what they think.",79,Pete Docter,David Silverman,Lee Unkrich,Billy Crystal,John Goodman,815505,"289,916,256" +"https://m.media-amazon.com/images/M/MV5BZjJhMThkNTQtNjkxNy00MDdjLTg4MWQtMTI2MmQ3MDVmODUzXkEyXkFqcGdeQXVyMTAwOTA3NzY3._V1_UY98_CR1,0,67,98_AL_.jpg","Shin seiki Evangelion Gekijô-ban: Air/Magokoro wo, kimi ni",1997,UA,87 min,"Animation, Action, Drama",8.1,Concurrent theatrical ending of the TV series Shin seiki evangerion (1995).,,Hideaki Anno,Kazuya Tsurumaki,Megumi Ogata,Megumi Hayashibara,Yûko Miyamura,38847, +"https://m.media-amazon.com/images/M/MV5BNDYxNWUzZmYtOGQxMC00MTdkLTkxOTctYzkyOGIwNWQxZjhmXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Lagaan: Once Upon a Time in India,2001,U,224 min,"Adventure, Drama, Musical",8.1,The people of a small village in Victorian India stake their future on a game of cricket against their ruthless British rulers.,84,Ashutosh Gowariker,Aamir Khan,Raghuvir Yadav,Gracy Singh,Rachel Shelley,105036,"70,147" +"https://m.media-amazon.com/images/M/MV5BMWM4NTFhYjctNzUyNi00NGMwLTk3NTYtMDIyNTZmMzRlYmQyXkEyXkFqcGdeQXVyMTAwMzUyOTc@._V1_UX67_CR0,0,67,98_AL_.jpg",The Sixth Sense,1999,A,107 min,"Drama, Mystery, Thriller",8.1,A boy who communicates with spirits seeks the help of a disheartened child psychologist.,64,M. Night Shyamalan,Bruce Willis,Haley Joel Osment,Toni Collette,Olivia Williams,911573,"293,506,292" +"https://m.media-amazon.com/images/M/MV5BMzIwOTdmNjQtOWQ1ZS00ZWQ4LWIxYTMtOWFkM2NjODJiMGY4L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",La leggenda del pianista sull'oceano,1998,U,169 min,"Drama, Music, Romance",8.1,"A baby boy, discovered in 1900 on an ocean liner, grows into a musical prodigy, never setting foot on land.",58,Giuseppe Tornatore,Tim Roth,Pruitt Taylor Vince,Mélanie Thierry,Bill Nunn,59020,"259,127" +"https://m.media-amazon.com/images/M/MV5BMDIzODcyY2EtMmY2MC00ZWVlLTgwMzAtMjQwOWUyNmJjNTYyXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",The Truman Show,1998,U,103 min,"Comedy, Drama",8.1,An insurance salesman discovers his whole life is actually a reality TV show.,90,Peter Weir,Jim Carrey,Ed Harris,Laura Linney,Noah Emmerich,939631,"125,618,201" +"https://m.media-amazon.com/images/M/MV5BMmExZTZhN2QtMzg5Mi00Y2M5LTlmMWYtNTUzMzUwMGM2OGQ3XkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg","Crna macka, beli macor",1998,R,127 min,"Comedy, Crime, Romance",8.1,Matko and his son Zare live on the banks of the Danube river and get by through hustling and basically doing anything to make a living. In order to pay off a business debt Matko agrees to marry off Zare to the sister of a local gangster.,73,Emir Kusturica,Bajram Severdzan,Srdjan 'Zika' Todorovic,Branka Katic,Florijan Ajdini,50862,"348,660" +"https://m.media-amazon.com/images/M/MV5BMTQ0NjUzMDMyOF5BMl5BanBnXkFtZTgwODA1OTU0MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Big Lebowski,1998,R,117 min,"Comedy, Crime, Sport",8.1,"Jeff ""The Dude"" Lebowski, mistaken for a millionaire of the same name, seeks restitution for his ruined rug and enlists his bowling buddies to help get it.",71,Joel Coen,Ethan Coen,Jeff Bridges,John Goodman,Julianne Moore,732620,"17,498,804" +"https://m.media-amazon.com/images/M/MV5BYjZjODRlMjQtMjJlYy00ZDBjLTkyYTQtZGQxZTk5NzJhYmNmXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UY98_CR1,0,67,98_AL_.jpg",Fa yeung nin wah,2000,U,98 min,"Drama, Romance",8.1,"Two neighbors, a woman and a man, form a strong bond after both suspect extramarital activities of their spouses. However, they agree to keep their bond platonic so as not to commit similar wrongs.",85,Kar-Wai Wong,Tony Chiu-Wai Leung,Maggie Cheung,Ping Lam Siu,Tung Cho 'Joe' Cheung,124383,"2,734,044" +"https://m.media-amazon.com/images/M/MV5BMzA5Zjc3ZTMtMmU5YS00YTMwLWI4MWUtYTU0YTVmNjVmODZhXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Trainspotting,1996,A,93 min,Drama,8.1,"Renton, deeply immersed in the Edinburgh drug scene, tries to clean up and get out, despite the allure of the drugs and influence of friends.",83,Danny Boyle,Ewan McGregor,Ewen Bremner,Jonny Lee Miller,Kevin McKidd,634716,"16,501,785" +"https://m.media-amazon.com/images/M/MV5BNDJiZDgyZjctYmRjMS00ZjdkLTkwMTEtNGU1NDg3NDQ0Yzk1XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Fargo,1996,A,98 min,"Crime, Drama, Thriller",8.1,Jerry Lundegaard's inept crime falls apart due to his and his henchmen's bungling and the persistent police work of the quite pregnant Marge Gunderson.,85,Joel Coen,Ethan Coen,William H. Macy,Frances McDormand,Steve Buscemi,617444,"24,611,975" +"https://m.media-amazon.com/images/M/MV5BNzI4YTVmMWEtMWQ3MS00OGE1LWE5YjMtNjc4NWJmYjRmZTQyXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UY98_CR0,0,67,98_AL_.jpg",Underground,1995,,170 min,"Comedy, Drama, War",8.1,"A group of Serbian socialists prepares for the war in a surreal underground filled by parties, tragedies, love and hate.",,Emir Kusturica,Predrag 'Miki' Manojlovic,Lazar Ristovski,Mirjana Jokovic,Slavko Stimac,55220,"171,082" +"https://m.media-amazon.com/images/M/MV5BNDNiOTA5YjktY2Q0Ni00ODgzLWE5MWItNGExOWRlYjY2MjBlXkEyXkFqcGdeQXVyNjQ2MjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg",La haine,1995,UA,98 min,"Crime, Drama",8.1,24 hours in the lives of three young men in the French suburbs the day after a violent riot.,,Mathieu Kassovitz,Vincent Cassel,Hubert Koundé,Saïd Taghmaoui,Abdel Ahmed Ghili,150345,"309,811" +"https://m.media-amazon.com/images/M/MV5BYmNjYzRlM2YtZTZjZC00ODVmLTljZWMtODg1YmYyNDBiNzU3XkEyXkFqcGdeQXVyNTkzNDQ4ODc@._V1_UY98_CR3,0,67,98_AL_.jpg",Dilwale Dulhania Le Jayenge,1995,U,189 min,"Drama, Romance",8.1,"When Raj meets Simran in Europe, it isn't love at first sight but when Simran moves to India for an arranged marriage, love makes its presence felt.",,Aditya Chopra,Shah Rukh Khan,Kajol,Amrish Puri,Farida Jalal,63516, +"https://m.media-amazon.com/images/M/MV5BZDdiZTAwYzAtMDI3Ni00OTRjLTkzN2UtMGE3MDMyZmU4NTU4XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Before Sunrise,1995,R,101 min,"Drama, Romance",8.1,"A young man and woman meet on a train in Europe, and wind up spending one evening together in Vienna. Unfortunately, both know that this will probably be their only night together.",77,Richard Linklater,Ethan Hawke,Julie Delpy,Andrea Eckert,Hanno Pöschl,272291,"5,535,405" +"https://m.media-amazon.com/images/M/MV5BYTg1MmNiMjItMmY4Yy00ZDQ3LThjMzYtZGQ0ZTQzNTdkMGQ1L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Trois couleurs: Rouge,1994,U,99 min,"Drama, Mystery, Romance",8.1,A model discovers a retired judge is keen on invading people's privacy.,100,Krzysztof Kieslowski,Irène Jacob,Jean-Louis Trintignant,Frédérique Feder,Jean-Pierre Lorit,90729,"4,043,686" +"https://m.media-amazon.com/images/M/MV5BMGQ5MzljNzYtMDM1My00NmI0LThlYzQtMTg0ZmQ0MTk1YjkxXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",Chung Hing sam lam,1994,U,102 min,"Comedy, Crime, Drama",8.1,"Two melancholy Hong Kong policemen fall in love: one with a mysterious female underworld figure, the other with a beautiful and ethereal server at a late-night restaurant he frequents.",77,Kar-Wai Wong,Brigitte Lin,Takeshi Kaneshiro,Tony Chiu-Wai Leung,Faye Wong,63122,"600,200" +"https://m.media-amazon.com/images/M/MV5BMjM2MDgxMDg0Nl5BMl5BanBnXkFtZTgwNTM2OTM5NDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Jurassic Park,1993,UA,127 min,"Action, Adventure, Sci-Fi",8.1,A pragmatic paleontologist visiting an almost complete theme park is tasked with protecting a couple of kids after a power failure causes the park's cloned dinosaurs to run loose.,68,Steven Spielberg,Sam Neill,Laura Dern,Jeff Goldblum,Richard Attenborough,867615,"402,453,882" +"https://m.media-amazon.com/images/M/MV5BMmYyOTgwYWItYmU3Ny00M2E2LTk0NWMtMDVlNmQ0MWZiMTMxXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",In the Name of the Father,1993,UA,133 min,"Biography, Crime, Drama",8.1,A man's coerced confession to an I.R.A. bombing he did not commit results in the imprisonment of his father as well. An English lawyer fights to free them.,84,Jim Sheridan,Daniel Day-Lewis,Pete Postlethwaite,Alison Crosbie,Philip King,156842,"25,010,410" +"https://m.media-amazon.com/images/M/MV5BYmFhZmM3Y2MtNDA1Ny00NjkzLWJkM2EtYWU1ZjEwYmNjZDQ0XkEyXkFqcGdeQXVyMTMxMTY0OTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Ba wang bie ji,1993,R,171 min,"Drama, Music, Romance",8.1,Two boys meet at an opera training school in Peking in 1924. Their resulting friendship will span nearly 70 years and will endure some of the most troublesome times in China's history.,,Kaige Chen,Leslie Cheung,Fengyi Zhang,Gong Li,You Ge,25088,"5,216,888" +"https://m.media-amazon.com/images/M/MV5BMjEzNjY5NDcwNV5BMl5BanBnXkFtZTcwNzEwMzg4NA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Dà hóng denglong gaogao guà,1991,PG,125 min,"Drama, History, Romance",8.1,"A young woman becomes the fourth wife of a wealthy lord, and must learn to live with the strict rules and tensions within the household.",,Yimou Zhang,Gong Li,Jingwu Ma,Saifei He,Cuifen Cao,29662,"2,603,061" +"https://m.media-amazon.com/images/M/MV5BOGYwYWNjMzgtNGU4ZC00NWQ2LWEwZjUtMzE1Zjc3NjY3YTU1XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Dead Poets Society,1989,U,128 min,"Comedy, Drama",8.1,Maverick teacher John Keating uses poetry to embolden his boarding school students to new heights of self-expression.,79,Peter Weir,Robin Williams,Robert Sean Leonard,Ethan Hawke,Josh Charles,425457,"95,860,116" +"https://m.media-amazon.com/images/M/MV5BODJmY2Y2OGQtMDg2My00N2Q3LWJmZTUtYTc2ODBjZDVlNDlhXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Stand by Me,1986,U,89 min,"Adventure, Drama",8.1,"After the death of one of his friends, a writer recounts a childhood journey with his friends to find the body of a missing boy.",75,Rob Reiner,Wil Wheaton,River Phoenix,Corey Feldman,Jerry O'Connell,363401,"52,287,414" +"https://m.media-amazon.com/images/M/MV5BMzRjZjdlMjQtODVkYS00N2YzLWJlYWYtMGVlN2E5MWEwMWQzXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Platoon,1986,A,120 min,"Drama, War",8.1,"Chris Taylor, a neophyte recruit in Vietnam, finds himself caught in a battle of wills between two sergeants, one good and the other evil. A shrewd examination of the brutality of war and the duality of man in conflict.",92,Oliver Stone,Charlie Sheen,Tom Berenger,Willem Dafoe,Keith David,381222,"138,530,565" +"https://m.media-amazon.com/images/M/MV5BM2RjMmU3ZWItYzBlMy00ZmJkLWE5YzgtNTVkODdhOWM3NGZhXkEyXkFqcGdeQXVyNDA5Mjg5MjA@._V1_UX67_CR0,0,67,98_AL_.jpg","Paris, Texas",1984,U,145 min,Drama,8.1,"Travis Henderson, an aimless drifter who has been missing for four years, wanders out of the desert and must reconnect with society, himself, his life, and his family.",78,Wim Wenders,Harry Dean Stanton,Nastassja Kinski,Dean Stockwell,Aurore Clément,91188,"2,181,987" +"https://m.media-amazon.com/images/M/MV5BZWFkN2ZhODAtYTNkZS00Y2NjLWIzNDYtNzJjNDNlMzAyNTIyXkEyXkFqcGdeQXVyODEzNjM5OTQ@._V1_UY98_CR1,0,67,98_AL_.jpg",Kaze no tani no Naushika,1984,U,117 min,"Animation, Adventure, Fantasy",8.1,Warrior and pacifist Princess Nausicaä desperately struggles to prevent two warring nations from destroying themselves and their dying planet.,86,Hayao Miyazaki,Sumi Shimamoto,Mahito Tsujimura,Hisako Kyôda,Gorô Naya,150924,"495,770" +"https://m.media-amazon.com/images/M/MV5BNGViZWZmM2EtNGYzZi00ZDAyLTk3ODMtNzIyZTBjN2Y1NmM1XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Thing,1982,A,109 min,"Horror, Mystery, Sci-Fi",8.1,A research team in Antarctica is hunted by a shape-shifting alien that assumes the appearance of its victims.,57,John Carpenter,Kurt Russell,Wilford Brimley,Keith David,Richard Masur,371271,"13,782,838" +"https://m.media-amazon.com/images/M/MV5BZDhlZTYxOTYtYTk3Ny00ZDljLTk3ZmItZTcxZWU5YTIyYmFkXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Pink Floyd: The Wall,1982,UA,95 min,"Drama, Fantasy, Music",8.1,A confined but troubled rock star descends into madness in the midst of his physical and social isolation from everyone.,47,Alan Parker,Bob Geldof,Christine Hargreaves,James Laurenson,Eleanor David,76081,"22,244,207" +"https://m.media-amazon.com/images/M/MV5BYjIzNTYxMTctZjAwNS00YzI3LWExMGMtMGQxNGM5ZTc1NzhlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Fitzcarraldo,1982,R,158 min,"Adventure, Drama",8.1,"The story of Brian Sweeney Fitzgerald, an extremely determined man who intends to build an opera house in the middle of a jungle.",,Werner Herzog,Klaus Kinski,Claudia Cardinale,José Lewgoy,Miguel Ángel Fuentes,31595, +"https://m.media-amazon.com/images/M/MV5BZmQzMDE5ZWQtOTU3ZS00ZjdhLWI0OTctZDNkODk4YThmOTRhL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Fanny och Alexander,1982,A,188 min,Drama,8.1,"Two young Swedish children experience the many comedies and tragedies of their family, the Ekdahls.",100,Ingmar Bergman,Bertil Guve,Pernilla Allwin,Kristina Adolphson,Börje Ahlstedt,57784,"4,971,340" +"https://m.media-amazon.com/images/M/MV5BNzQzMzJhZTEtOWM4NS00MTdhLTg0YjgtMjM4MDRkZjUwZDBlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Blade Runner,1982,UA,117 min,"Action, Sci-Fi, Thriller",8.1,"A blade runner must pursue and terminate four replicants who stole a ship in space, and have returned to Earth to find their creator.",84,Ridley Scott,Harrison Ford,Rutger Hauer,Sean Young,Edward James Olmos,693827,"32,868,943" +"https://m.media-amazon.com/images/M/MV5BMDVjNjIwOGItNDE3Ny00OThjLWE0NzQtZTU3YjMzZTZjMzhkXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Elephant Man,1980,UA,124 min,"Biography, Drama",8.1,"A Victorian surgeon rescues a heavily disfigured man who is mistreated while scraping a living as a side-show freak. Behind his monstrous façade, there is revealed a person of kindness, intelligence and sophistication.",78,David Lynch,Anthony Hopkins,John Hurt,Anne Bancroft,John Gielgud,220078, +"https://m.media-amazon.com/images/M/MV5BMzAwNjU1OTktYjY3Mi00NDY5LWFlZWUtZjhjNGE0OTkwZDkwXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Life of Brian,1979,R,94 min,Comedy,8.1,"Born on the original Christmas in the stable next door to Jesus Christ, Brian of Nazareth spends his life being mistaken for a messiah.",77,Terry Jones,Graham Chapman,John Cleese,Michael Palin,Terry Gilliam,367250,"20,045,115" +"https://m.media-amazon.com/images/M/MV5BNDhmNTA0ZDMtYjhkNS00NzEzLWIzYTItOGNkMTVmYjE2YmI3XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Deer Hunter,1978,A,183 min,"Drama, War",8.1,An in-depth examination of the ways in which the U.S. Vietnam War impacts and disrupts the lives of people in a small industrial town in Pennsylvania.,86,Michael Cimino,Robert De Niro,Christopher Walken,John Cazale,John Savage,311361,"48,979,328" +"https://m.media-amazon.com/images/M/MV5BMTY5MDMzODUyOF5BMl5BanBnXkFtZTcwMTQ3NTMyNA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Rocky,1976,U,120 min,"Drama, Sport",8.1,A small-time boxer gets a supremely rare chance to fight a heavy-weight champion in a bout in which he strives to go the distance for his self-respect.,70,John G. Avildsen,Sylvester Stallone,Talia Shire,Burt Young,Carl Weathers,518546,"117,235,247" +"https://m.media-amazon.com/images/M/MV5BZGNjYjM2MzItZGQzZi00NmY3LTgxOGUtMTQ2MWQxNWQ2MmMwXkEyXkFqcGdeQXVyNzM0MTUwNTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Network,1976,UA,121 min,Drama,8.1,A television network cynically exploits a deranged former anchor's ravings and revelations about the news media for its own profit.,83,Sidney Lumet,Faye Dunaway,William Holden,Peter Finch,Robert Duvall,144911, +"https://m.media-amazon.com/images/M/MV5BNmY0MWY2NDctZDdmMi00MjA1LTk0ZTQtZDMyZTQ1NTNlYzVjXkEyXkFqcGdeQXVyMjUzOTY1NTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Barry Lyndon,1975,PG,185 min,"Adventure, Drama, History",8.1,An Irish rogue wins the heart of a rich widow and assumes her dead husband's aristocratic position in 18th-century England.,89,Stanley Kubrick,Ryan O'Neal,Marisa Berenson,Patrick Magee,Hardy Krüger,149843, +"https://m.media-amazon.com/images/M/MV5BMTg1MDg3OTk3M15BMl5BanBnXkFtZTgwMDEzMzE5MTE@._V1_UY98_CR0,0,67,98_AL_.jpg",Zerkalo,1975,G,107 min,"Biography, Drama",8.1,"A dying man in his forties remembers his past. His childhood, his mother, the war, personal moments and things that tell of the recent history of all the Russian nation.",,Andrei Tarkovsky,Margarita Terekhova,Filipp Yankovskiy,Ignat Daniltsev,Oleg Yankovskiy,40081,"177,345" +"https://m.media-amazon.com/images/M/MV5BOGMwYmY5ZmEtMzY1Yi00OWJiLTk1Y2MtMzI2MjBhYmZkNTQ0XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Chinatown,1974,UA,130 min,"Drama, Mystery, Thriller",8.1,"A private detective hired to expose an adulterer finds himself caught up in a web of deceit, corruption, and murder.",92,Roman Polanski,Jack Nicholson,Faye Dunaway,John Huston,Perry Lopez,294230,"29,000,000" +"https://m.media-amazon.com/images/M/MV5BOWVmYzQwY2MtOTBjNi00MDNhLWI5OGMtN2RiMDYxODI3MjU5XkEyXkFqcGdeQXVyMjUzOTY1NTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Paper Moon,1973,U,102 min,"Comedy, Crime, Drama",8.1,"During the Great Depression, a con man finds himself saddled with a young girl who may or may not be his daughter, and the two forge an unlikely partnership.",77,Peter Bogdanovich,Ryan O'Neal,Tatum O'Neal,Madeline Kahn,John Hillerman,42285,"30,933,743" +"https://m.media-amazon.com/images/M/MV5BMTg3NzYzOTEtNmE2Ni00M2EyLWJhMjctNjMyMTk4ZTViOGUzXkEyXkFqcGdeQXVyNzQxNDExNTU@._V1_UY98_CR0,0,67,98_AL_.jpg",Viskningar och rop,1972,A,91 min,Drama,8.1,"When a woman dying of cancer in early twentieth-century Sweden is visited by her two sisters, long-repressed feelings between the siblings rise to the surface.",,Ingmar Bergman,Harriet Andersson,Liv Ullmann,Kari Sylwan,Ingrid Thulin,30206,"1,742,348" +"https://m.media-amazon.com/images/M/MV5BZmY4Yjc0OWQtZDRhMy00ODc2LWI2NGYtMWFlODYyN2VlNDQyXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UY98_CR1,0,67,98_AL_.jpg",Solaris,1972,PG,167 min,"Drama, Mystery, Sci-Fi",8.1,A psychologist is sent to a station orbiting a distant planet in order to discover what has caused the crew to go insane.,90,Andrei Tarkovsky,Natalya Bondarchuk,Donatas Banionis,Jüri Järvet,Vladislav Dvorzhetskiy,81021, +"https://m.media-amazon.com/images/M/MV5BMWFjZjRiM2QtZmRkOC00MDUxLTlhYmQtYmY5ZTNiMTI5Nzc2L2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Le samouraï,1967,GP,105 min,"Crime, Drama, Mystery",8.1,After professional hitman Jef Costello is seen by witnesses his efforts to provide himself an alibi drive him further into a corner.,,Jean-Pierre Melville,Alain Delon,François Périer,Nathalie Delon,Cathy Rosier,45434,"39,481" +"https://m.media-amazon.com/images/M/MV5BOWFlNzZhYmYtYTI5YS00MDQyLWIyNTUtNTRjMWUwNTEzNjA0XkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UX67_CR0,0,67,98_AL_.jpg",Cool Hand Luke,1967,A,127 min,"Crime, Drama",8.1,"A laid back Southern man is sentenced to two years in a rural prison, but refuses to conform.",92,Stuart Rosenberg,Paul Newman,George Kennedy,Strother Martin,J.D. Cannon,161984,"16,217,773" +"https://m.media-amazon.com/images/M/MV5BMTM0YzExY2EtMjUyZi00ZmIwLWFkYTktNjY5NmVkYTdkMjI5XkEyXkFqcGdeQXVyNzQxNDExNTU@._V1_UY98_CR0,0,67,98_AL_.jpg",Persona,1966,,85 min,"Drama, Thriller",8.1,A nurse is put in charge of a mute actress and finds that their personae are melding together.,86,Ingmar Bergman,Bibi Andersson,Liv Ullmann,Margaretha Krook,Gunnar Björnstrand,103191, +"https://m.media-amazon.com/images/M/MV5BNjM2MjMwNzUzN15BMl5BanBnXkFtZTgwMjEzMzE5MTE@._V1_UY98_CR2,0,67,98_AL_.jpg",Andrei Rublev,1966,R,205 min,"Biography, Drama, History",8.1,"The life, times and afflictions of the fifteenth-century Russian iconographer St. Andrei Rublev.",,Andrei Tarkovsky,Anatoliy Solonitsyn,Ivan Lapikov,Nikolay Grinko,Nikolay Sergeev,46947,"102,021" +"https://m.media-amazon.com/images/M/MV5BZWEzMGY4OTQtYTdmMy00M2QwLTliYTQtYWUzYzc3OTA5YzIwXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UY98_CR1,0,67,98_AL_.jpg",La battaglia di Algeri,1966,,121 min,"Drama, War",8.1,"In the 1950s, fear and violence escalate as the people of Algiers fight for independence from the French government.",96,Gillo Pontecorvo,Brahim Hadjadj,Jean Martin,Yacef Saadi,Samia Kerbash,53089,"55,908" +"https://m.media-amazon.com/images/M/MV5BZTg3M2ExY2EtZmI5Yy00YWM1LTg4NzItZWEzZTgxNzE2MjhhXkEyXkFqcGdeQXVyNDE5MTU2MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",El ángel exterminador,1962,,95 min,"Drama, Fantasy",8.1,The guests at an upper-class dinner party find themselves unable to leave.,,Luis Buñuel,Silvia Pinal,Jacqueline Andere,Enrique Rambal,José Baviera,29682, +"https://m.media-amazon.com/images/M/MV5BZmI0M2VmNTgtMWVhYS00Zjg1LTk1YTYtNmJmMjRkZmMwYTc2XkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",What Ever Happened to Baby Jane?,1962,Passed,134 min,"Drama, Horror, Thriller",8.1,A former child star torments her paraplegic sister in their decaying Hollywood mansion.,75,Robert Aldrich,Bette Davis,Joan Crawford,Victor Buono,Wesley Addy,50058,"4,050,000" +"https://m.media-amazon.com/images/M/MV5BZmY3MDlmODctYTY3Yi00NzYyLWIxNTUtYjVlZWZjMmMwZTBkXkEyXkFqcGdeQXVyMzAxNjg3MjQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Sanjuro,1962,U,96 min,"Action, Comedy, Crime",8.1,"A crafty samurai helps a young man and his fellow clansmen save his uncle, who has been framed and imprisoned by a corrupt superintendent.",,Akira Kurosawa,Toshirô Mifune,Tatsuya Nakadai,Keiju Kobayashi,Yûnosuke Itô,33044, +"https://m.media-amazon.com/images/M/MV5BMGEyNzhkYzktMGMyZS00YzRiLWJlYjktZjJkOTU5ZDY0ZGI4XkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UX67_CR0,0,67,98_AL_.jpg",The Man Who Shot Liberty Valance,1962,,123 min,"Drama, Western",8.1,A senator returns to a western town for the funeral of an old friend and tells the story of his origins.,94,John Ford,James Stewart,John Wayne,Vera Miles,Lee Marvin,68827, +"https://m.media-amazon.com/images/M/MV5BYTYzYzBhYjQtNDQxYS00MmUwLTkyZjgtZWVkOWFjNzE5OTI2XkEyXkFqcGdeQXVyNjMxMjkwMjI@._V1_UX67_CR0,0,67,98_AL_.jpg",Ivanovo detstvo,1962,,95 min,"Drama, War",8.1,"In WW2, twelve year old Soviet orphan Ivan Bondarev works for the Soviet army as a scout behind the German lines and strikes a friendship with three sympathetic Soviet officers.",,Andrei Tarkovsky,Eduard Abalov,Nikolay Burlyaev,Valentin Zubkov,Evgeniy Zharikov,31728, +"https://m.media-amazon.com/images/M/MV5BZjgyMzZkMGUtNTBhZC00OTkzLWI4ZmMtYzcwMzc5MjQ0YTM3XkEyXkFqcGdeQXVyMTMxMTY0OTQ@._V1_UY98_CR3,0,67,98_AL_.jpg",Jungfrukällan,1960,A,89 min,Drama,8.1,"An innocent yet pampered young virgin and her family's pregnant and jealous servant set out to deliver candles to church, but only one returns from events that transpire in the woods along the way.",,Ingmar Bergman,Max von Sydow,Birgitta Valberg,Gunnel Lindblom,Birgitta Pettersson,26697,"1,526,000" +"https://m.media-amazon.com/images/M/MV5BMGQ5ODNkNWYtYTgxZS00YjJkLThhODAtYzUwNGNiYjRmNjdkXkEyXkFqcGdeQXVyMTg2NTc4MzA@._V1_UY98_CR4,0,67,98_AL_.jpg",Inherit the Wind,1960,Passed,128 min,"Biography, Drama, History",8.1,"Based on a real-life case in 1925, two great lawyers argue the case for and against a science teacher accused of the crime of teaching evolution.",75,Stanley Kramer,Spencer Tracy,Fredric March,Gene Kelly,Dick York,27254, +"https://m.media-amazon.com/images/M/MV5BYTQ4MjA4NmYtYjRhNi00MTEwLTg0NjgtNjk3ODJlZGU4NjRkL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UY98_CR3,0,67,98_AL_.jpg",Les quatre cents coups,1959,,99 min,"Crime, Drama",8.1,"A young boy, left without attention, delves into a life of petty crime.",,François Truffaut,Jean-Pierre Léaud,Albert Rémy,Claire Maurier,Guy Decomble,105291, +"https://m.media-amazon.com/images/M/MV5BNjgxY2JiZDYtZmMwOC00ZmJjLWJmODUtMTNmNWNmYWI5ODkwL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Ben-Hur,1959,U,212 min,"Adventure, Drama, History",8.1,"After a Jewish prince is betrayed and sent into slavery by a Roman friend, he regains his freedom and comes back for revenge.",90,William Wyler,Charlton Heston,Jack Hawkins,Stephen Boyd,Haya Harareet,219466,"74,700,000" +"https://m.media-amazon.com/images/M/MV5BYjJkN2Y5MTktZDRhOS00NTUwLWFiMzEtMTVlNWU4ODM0Y2E5XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UY98_CR1,0,67,98_AL_.jpg",Kakushi-toride no san-akunin,1958,,139 min,"Adventure, Drama",8.1,"Lured by gold, two greedy peasants unknowingly escort a princess and her general across enemy lines.",,Akira Kurosawa,Toshirô Mifune,Misa Uehara,Minoru Chiaki,Kamatari Fujiwara,34797, +"https://m.media-amazon.com/images/M/MV5BOTdhNmUxZmQtNmMwNC00MzE3LWE1MTUtZDgxZTYwYjEzZjcwXkEyXkFqcGdeQXVyNTA1NjYyMDk@._V1_UY98_CR0,0,67,98_AL_.jpg",Le notti di Cabiria,1957,,110 min,Drama,8.1,A waifish prostitute wanders the streets of Rome looking for true love but finds only heartbreak.,,Federico Fellini,Giulietta Masina,François Périer,Franca Marzi,Dorian Gray,42940,"752,045" +"https://m.media-amazon.com/images/M/MV5BNGYxZjA2M2ItYTRmNS00NzRmLWJkYzgtYTdiNGFlZDI5ZjNmXkEyXkFqcGdeQXVyNDE5MTU2MDE@._V1_UY98_CR0,0,67,98_AL_.jpg",Kumonosu-jô,1957,,110 min,"Drama, History",8.1,"A war-hardened general, egged on by his ambitious wife, works to fulfill a prophecy that he would become lord of Spider's Web Castle.",,Akira Kurosawa,Toshirô Mifune,Minoru Chiaki,Isuzu Yamada,Takashi Shimura,46678, +"https://m.media-amazon.com/images/M/MV5BMGVhNjhjODktODgxYS00MDdhLTlkZjktYTkyNzQxMTU0ZDYxXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Bridge on the River Kwai,1957,PG,161 min,"Adventure, Drama, War",8.1,"British POWs are forced to build a railway bridge across the river Kwai for their Japanese captors, not knowing that the allied forces are planning to destroy it.",87,David Lean,William Holden,Alec Guinness,Jack Hawkins,Sessue Hayakawa,203463,"44,908,000" +"https://m.media-amazon.com/images/M/MV5BY2I0MWFiZDMtNWQyYy00Njk5LTk3MDktZjZjNTNmZmVkYjkxXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",On the Waterfront,1954,A,108 min,"Crime, Drama, Thriller",8.1,An ex-prize fighter turned longshoreman struggles to stand up to his corrupt union bosses.,91,Elia Kazan,Marlon Brando,Karl Malden,Lee J. Cobb,Rod Steiger,142107,"9,600,000" +"https://m.media-amazon.com/images/M/MV5BZDdkNzMwZmUtY2Q5MS00ZmM2LWJhYjItYTBjMWY0MGM4MDRjXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UY98_CR0,0,67,98_AL_.jpg",Le salaire de la peur,1953,U,131 min,"Adventure, Drama, Thriller",8.1,"In a decrepit South American village, four men are hired to transport an urgent nitroglycerine shipment without the equipment that would make it safe.",85,Henri-Georges Clouzot,Yves Montand,Charles Vanel,Peter van Eyck,Folco Lulli,54588, +"https://m.media-amazon.com/images/M/MV5BNDUzZjlhZTYtN2E5MS00ODQ3LWI1ZjgtNzdiZmI0NTZiZTljXkEyXkFqcGdeQXVyMjI4MjA5MzA@._V1_UX67_CR0,0,67,98_AL_.jpg",Ace in the Hole,1951,Approved,111 min,"Drama, Film-Noir",8.1,"A frustrated former big-city journalist now stuck working for an Albuquerque newspaper exploits a story about a man trapped in a cave to rekindle his career, but the situation quickly escalates into an out-of-control circus.",72,Billy Wilder,Kirk Douglas,Jan Sterling,Robert Arthur,Porter Hall,31568,"3,969,893" +"https://m.media-amazon.com/images/M/MV5BZmI5NTA3MjItYzdhMi00MWMxLTg3OWMtYWQyYjg5MTFmM2U0L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",White Heat,1949,,114 min,"Action, Crime, Drama",8.1,A psychopathic criminal with a mother complex makes a daring break from prison and leads his old gang in a chemical plant payroll heist.,,Raoul Walsh,James Cagney,Virginia Mayo,Edmond O'Brien,Margaret Wycherly,29807, +"https://m.media-amazon.com/images/M/MV5BYjE2OTdhMWUtOGJlMy00ZDViLWIzZjgtYjZkZGZmMDZjYmEyXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Third Man,1949,Approved,104 min,"Film-Noir, Mystery, Thriller",8.1,"Pulp novelist Holly Martins travels to shadowy, postwar Vienna, only to find himself investigating the mysterious death of an old friend, Harry Lime.",97,Carol Reed,Orson Welles,Joseph Cotten,Alida Valli,Trevor Howard,158731,"449,191" +"https://m.media-amazon.com/images/M/MV5BOWRmNGEwZjUtZjEwNS00OGZmLThhMmEtZTJlMTU5MGQ3ZWUwXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Red Shoes,1948,,135 min,"Drama, Music, Romance",8.1,A young ballet dancer is torn between the man she loves and her pursuit to become a prima ballerina.,,Michael Powell,Emeric Pressburger,Anton Walbrook,Marius Goring,Moira Shearer,30935,"10,900,000" +"https://m.media-amazon.com/images/M/MV5BNzc1MTcyNTQ5N15BMl5BanBnXkFtZTgwMzgwMDI0MjE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Shop Around the Corner,1940,,99 min,"Comedy, Drama, Romance",8.1,"Two employees at a gift shop can barely stand each other, without realizing that they are falling in love through the post as each other's anonymous pen pal.",96,Ernst Lubitsch,Margaret Sullavan,James Stewart,Frank Morgan,Joseph Schildkraut,28450,"203,300" +"https://m.media-amazon.com/images/M/MV5BYTcxYWExOTMtMWFmYy00ZjgzLWI0YjktNWEzYzJkZTg0NDdmL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UY98_CR0,0,67,98_AL_.jpg",Rebecca,1940,Approved,130 min,"Drama, Mystery, Romance",8.1,A self-conscious woman juggles adjusting to her new role as an aristocrat's wife and avoiding being intimidated by his first wife's spectral presence.,86,Alfred Hitchcock,Laurence Olivier,Joan Fontaine,George Sanders,Judith Anderson,123942,"4,360,000" +"https://m.media-amazon.com/images/M/MV5BZTYwYjYxYzgtMDE1Ni00NzU4LWJlMTEtODQ5YmJmMGJhZjI5L2ltYWdlXkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Mr. Smith Goes to Washington,1939,Passed,129 min,"Comedy, Drama",8.1,"A naive man is appointed to fill a vacancy in the United States Senate. His plans promptly collide with political corruption, but he doesn't back down.",73,Frank Capra,James Stewart,Jean Arthur,Claude Rains,Edward Arnold,107017,"9,600,000" +"https://m.media-amazon.com/images/M/MV5BYjUyZWZkM2UtMzYxYy00ZmQ3LWFmZTQtOGE2YjBkNjA3YWZlXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Gone with the Wind,1939,U,238 min,"Drama, History, Romance",8.1,A manipulative woman and a roguish man conduct a turbulent romance during the American Civil War and Reconstruction periods.,97,Victor Fleming,George Cukor,Sam Wood,Clark Gable,Vivien Leigh,290074,"198,676,459" +"https://m.media-amazon.com/images/M/MV5BMTg3MTI5NTk0N15BMl5BanBnXkFtZTgwMjU1MDM5MTE@._V1_UY98_CR2,0,67,98_AL_.jpg",La Grande Illusion,1937,,113 min,"Drama, War",8.1,"During WWI, two French soldiers are captured and imprisoned in a German P.O.W. camp. Several escape attempts follow until they are eventually sent to a seemingly inescapable fortress.",,Jean Renoir,Jean Gabin,Dita Parlo,Pierre Fresnay,Erich von Stroheim,33829,"172,885" +"https://m.media-amazon.com/images/M/MV5BYzJmMWE5NjAtNWMyZS00NmFiLWIwMDgtZDE2NzczYWFhNzIzXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",It Happened One Night,1934,Approved,105 min,"Comedy, Romance",8.1,"A renegade reporter and a crazy young heiress meet on a bus heading for New York, and end up stuck with each other when the bus leaves them behind at one of the stops.",87,Frank Capra,Clark Gable,Claudette Colbert,Walter Connolly,Roscoe Karns,94016,"4,360,000" +"https://m.media-amazon.com/images/M/MV5BNjBjNDJiYTUtOWY0OS00OGVmLTg2YzctMTE0NzVhODM1ZWJmXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",La passion de Jeanne d'Arc,1928,Passed,110 min,"Biography, Drama, History",8.1,"In 1431, Jeanne d'Arc is placed on trial on charges of heresy. The ecclesiastical jurists attempt to force Jeanne to recant her claims of holy visions.",,Carl Theodor Dreyer,Maria Falconetti,Eugene Silvain,André Berley,Maurice Schutz,47676,"21,877" +"https://m.media-amazon.com/images/M/MV5BM2QwYWQ0MWMtNzcwOC00N2Q2LWE1MDEtZmQxZjhiM2U1YzFhXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Circus,1928,Passed,72 min,"Comedy, Romance",8.1,The Tramp finds work and the girl of his dreams at a circus.,90,Charles Chaplin,Charles Chaplin,Merna Kennedy,Al Ernest Garcia,Harry Crocker,30205, +"https://m.media-amazon.com/images/M/MV5BNDVkYmYwM2ItNzRiMy00NWQ4LTlhMjMtNDI1ZDYyOGVmMzJjXkEyXkFqcGdeQXVyNTgzMzU5MDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Sunrise: A Song of Two Humans,1927,Passed,94 min,"Drama, Romance",8.1,An allegorical tale about a man fighting the good and evil within him. Both sides are made flesh - one a sophisticated woman he is attracted to and the other his wife.,,F.W. Murnau,George O'Brien,Janet Gaynor,Margaret Livingston,Bodil Rosing,46865,"539,540" +"https://m.media-amazon.com/images/M/MV5BYmRiMDFlYjYtOTMwYy00OGY2LWE0Y2QtYzQxOGNhZmUwNTIxXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The General,1926,Passed,67 min,"Action, Adventure, Comedy",8.1,"When Union spies steal an engineer's beloved locomotive, he pursues it single-handedly and straight through enemy lines.",,Clyde Bruckman,Buster Keaton,Buster Keaton,Marion Mack,Glen Cavender,81156,"1,033,895" +"https://m.media-amazon.com/images/M/MV5BNWJiNGJiMTEtMGM3OC00ZWNlLTgwZTgtMzdhNTRiZjk5MTQ1XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR1,0,67,98_AL_.jpg",Das Cabinet des Dr. Caligari,1920,,76 min,"Fantasy, Horror, Mystery",8.1,"Hypnotist Dr. Caligari uses a somnambulist, Cesare, to commit murders.",,Robert Wiene,Werner Krauss,Conrad Veidt,Friedrich Feher,Lil Dagover,57428, +"https://m.media-amazon.com/images/M/MV5BNjZlMDdmN2YtYThmZi00NGQzLTk0ZTQtNTUyZDFmODExOGNiXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR0,0,67,98_AL_.jpg",Badhaai ho,2018,UA,124 min,"Comedy, Drama",8,A man is embarrassed when he finds out his mother is pregnant.,,Amit Ravindernath Sharma,Ayushmann Khurrana,Neena Gupta,Gajraj Rao,Sanya Malhotra,27978, +"https://m.media-amazon.com/images/M/MV5BNjJkYTc5N2UtMGRlMC00M2FmLTk0ZWMtOTYxNDUwNjI2YzljXkEyXkFqcGdeQXVyNDg4NjY5OTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Togo,2019,U,113 min,"Adventure, Biography, Drama",8,"The story of Togo, the sled dog who led the 1925 serum run yet was considered by most to be too small and weak to lead such an intense race.",69,Ericson Core,Willem Dafoe,Julianne Nicholson,Christopher Heyerdahl,Richard Dormer,37556, +"https://m.media-amazon.com/images/M/MV5BMGE1ZTkyOTMtMTdiZS00YzI2LTlmYWQtOTE5YWY0NWVlNjlmXkEyXkFqcGdeQXVyNjQ3ODkxMjE@._V1_UY98_CR0,0,67,98_AL_.jpg",Airlift,2016,UA,130 min,"Drama, History",8,"When Iraq invades Kuwait in August 1990, a callous Indian businessman becomes the spokesperson for more than 170,000 stranded countrymen.",,Raja Menon,Akshay Kumar,Nimrat Kaur,Kumud Mishra,Prakash Belawadi,52897, +"https://m.media-amazon.com/images/M/MV5BMjE1NjQ5ODc2NV5BMl5BanBnXkFtZTgwOTM5ODIxNjE@._V1_UY98_CR0,0,67,98_AL_.jpg",Bajrangi Bhaijaan,2015,UA,163 min,"Action, Adventure, Comedy",8,An Indian man with a magnanimous heart takes a young mute Pakistani girl back to her homeland to reunite her with her family.,,Kabir Khan,Salman Khan,Harshaali Malhotra,Nawazuddin Siddiqui,Kareena Kapoor,72245,"8,178,001" +"https://m.media-amazon.com/images/M/MV5BYTdhNjBjZDctYTlkYy00ZGIxLWFjYTktODk5ZjNlMzI4NjI3XkEyXkFqcGdeQXVyMjY1MjkzMjE@._V1_UY98_CR0,0,67,98_AL_.jpg",Baby,2015,UA,159 min,"Action, Crime, Thriller",8,"An elite counter-intelligence unit learns of a plot, masterminded by a maniacal madman. With the clock ticking, it's up to them to track the terrorists' international tentacles and prevent them from striking at the heart of India.",,Neeraj Pandey,Akshay Kumar,Danny Denzongpa,Rana Daggubati,Taapsee Pannu,52848, +"https://m.media-amazon.com/images/M/MV5BMzUzNDM2NzM2MV5BMl5BanBnXkFtZTgwNTM3NTg4OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",La La Land,2016,A,128 min,"Comedy, Drama, Music",8,"While navigating their careers in Los Angeles, a pianist and an actress fall in love while attempting to reconcile their aspirations for the future.",94,Damien Chazelle,Ryan Gosling,Emma Stone,Rosemarie DeWitt,J.K. Simmons,505918,"151,101,803" +"https://m.media-amazon.com/images/M/MV5BMjA3NjkzNjg2MF5BMl5BanBnXkFtZTgwMDkyMzgzMDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Lion,2016,U,118 min,"Biography, Drama",8,"A five-year-old Indian boy is adopted by an Australian couple after getting lost hundreds of kilometers from home. 25 years later, he sets out to find his lost family.",69,Garth Davis,Dev Patel,Nicole Kidman,Rooney Mara,Sunny Pawar,213970,"51,739,495" +"https://m.media-amazon.com/images/M/MV5BMTc2MTQ3MDA1Nl5BMl5BanBnXkFtZTgwODA3OTI4NjE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Martian,2015,UA,144 min,"Adventure, Drama, Sci-Fi",8,"An astronaut becomes stranded on Mars after his team assume him dead, and must rely on his ingenuity to find a way to signal to Earth that he is alive.",80,Ridley Scott,Matt Damon,Jessica Chastain,Kristen Wiig,Kate Mara,760094,"228,433,663" +"https://m.media-amazon.com/images/M/MV5BOTMyMjEyNzIzMV5BMl5BanBnXkFtZTgwNzIyNjU0NzE@._V1_UX67_CR0,0,67,98_AL_.jpg",Zootopia,2016,U,108 min,"Animation, Adventure, Comedy",8,"In a city of anthropomorphic animals, a rookie bunny cop and a cynical con artist fox must work together to uncover a conspiracy.",78,Byron Howard,Rich Moore,Jared Bush,Ginnifer Goodwin,Jason Bateman,434143,"341,268,248" +"https://m.media-amazon.com/images/M/MV5BYWVlMjVhZWYtNWViNC00ODFkLTk1MmItYjU1MDY5ZDdhMTU3XkEyXkFqcGdeQXVyODIwMDI1NjM@._V1_UX67_CR0,0,67,98_AL_.jpg",Bãhubali: The Beginning,2015,UA,159 min,"Action, Drama",8,"In ancient India, an adventurous and daring man becomes involved in a decades-old feud between two warring peoples.",,S.S. Rajamouli,Prabhas,Rana Daggubati,Ramya Krishnan,Sathyaraj,102972,"6,738,000" +"https://m.media-amazon.com/images/M/MV5BNThmMWMyMWMtOWRiNy00MGY0LTg1OTUtNjYzODg2MjdlZGU5XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR1,0,67,98_AL_.jpg",Kaguyahime no monogatari,2013,U,137 min,"Animation, Adventure, Drama",8,"Found inside a shining stalk of bamboo by an old bamboo cutter and his wife, a tiny girl grows rapidly into an exquisite young lady. The mysterious young princess enthralls all who encounter her, but ultimately she must confront her fate, the punishment for her crime.",89,Isao Takahata,Chloë Grace Moretz,James Caan,Mary Steenburgen,James Marsden,38746,"1,506,975" +"https://m.media-amazon.com/images/M/MV5BYjFhOWY0OTgtNDkzMC00YWJkLTk1NGEtYWUxNjhmMmQ5ZjYyXkEyXkFqcGdeQXVyMjMxOTE0ODA@._V1_UX67_CR0,0,67,98_AL_.jpg",Wonder,2017,U,113 min,"Drama, Family",8,"Based on the New York Times bestseller, this movie tells the incredibly inspiring and heartwarming story of August Pullman, a boy with facial differences who enters the fifth grade, attending a mainstream elementary school for the first time.",66,Stephen Chbosky,Jacob Tremblay,Owen Wilson,Izabela Vidovic,Julia Roberts,141923,"132,422,809" +"https://m.media-amazon.com/images/M/MV5BZDkzMTQ1YTMtMWY4Ny00MzExLTkzYzEtNzZhOTczNzU2NTU1XkEyXkFqcGdeQXVyODY3NjMyMDU@._V1_UY98_CR4,0,67,98_AL_.jpg",Gully Boy,2019,UA,154 min,"Drama, Music, Romance",8,A coming-of-age story based on the lives of street rappers in Mumbai.,65,Zoya Akhtar,Vijay Varma,Nakul Roshan Sahdev,Ranveer Singh,Vijay Raaz,31886,"5,566,534" +"https://m.media-amazon.com/images/M/MV5BMTQ1NDI5MjMzNF5BMl5BanBnXkFtZTcwMTc0MDQwOQ@@._V1_UY98_CR0,0,67,98_AL_.jpg",Special Chabbis,2013,UA,144 min,"Crime, Drama, Thriller",8,A gang of con-men rob prominent rich businessmen and politicians by posing as C.B.I and income tax officers.,,Neeraj Pandey,Akshay Kumar,Anupam Kher,Manoj Bajpayee,Jimmy Sheirgill,51069,"1,079,369" +"https://m.media-amazon.com/images/M/MV5BMTEwNjE2OTM4NDZeQTJeQWpwZ15BbWU3MDE2MTE4OTk@._V1_UX67_CR0,0,67,98_AL_.jpg",Short Term 12,2013,R,96 min,Drama,8,A 20-something supervising staff member of a residential treatment facility navigates the troubled waters of that world alongside her co-worker and longtime boyfriend.,82,Destin Daniel Cretton,Brie Larson,Frantz Turner,John Gallagher Jr.,Kaitlyn Dever,81770,"1,010,414" +"https://m.media-amazon.com/images/M/MV5BMTg5MTE2NjA4OV5BMl5BanBnXkFtZTgwMTUyMjczMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Serbuan maut 2: Berandal,2014,A,150 min,"Action, Crime, Thriller",8,"Only a short time after the first raid, Rama goes undercover with the thugs of Jakarta and plans to bring down the syndicate and uncover the corruption within his police force.",71,Gareth Evans,Iko Uwais,Yayan Ruhian,Arifin Putra,Oka Antara,114316,"2,625,803" +"https://m.media-amazon.com/images/M/MV5BOTgwMzFiMWYtZDhlNS00ODNkLWJiODAtZDVhNzgyNzJhYjQ4L2ltYWdlXkEyXkFqcGdeQXVyNzEzOTYxNTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",The Imitation Game,2014,UA,114 min,"Biography, Drama, Thriller",8,"During World War II, the English mathematical genius Alan Turing tries to crack the German Enigma code with help from fellow mathematicians.",73,Morten Tyldum,Benedict Cumberbatch,Keira Knightley,Matthew Goode,Allen Leech,685201,"91,125,683" +"https://m.media-amazon.com/images/M/MV5BMTAwMjU5OTgxNjZeQTJeQWpwZ15BbWU4MDUxNDYxODEx._V1_UX67_CR0,0,67,98_AL_.jpg",Guardians of the Galaxy,2014,UA,121 min,"Action, Adventure, Comedy",8,A group of intergalactic criminals must pull together to stop a fanatical warrior with plans to purge the universe.,76,James Gunn,Chris Pratt,Vin Diesel,Bradley Cooper,Zoe Saldana,1043455,"333,176,600" +"https://m.media-amazon.com/images/M/MV5BNzA1Njg4NzYxOV5BMl5BanBnXkFtZTgwODk5NjU3MzI@._V1_UX67_CR0,0,67,98_AL_.jpg",Blade Runner 2049,2017,UA,164 min,"Action, Drama, Mystery",8,"Young Blade Runner K's discovery of a long-buried secret leads him to track down former Blade Runner Rick Deckard, who's been missing for thirty years.",81,Denis Villeneuve,Harrison Ford,Ryan Gosling,Ana de Armas,Dave Bautista,461823,"92,054,159" +"https://m.media-amazon.com/images/M/MV5BMjA1Nzk0OTM2OF5BMl5BanBnXkFtZTgwNjU2NjEwMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Her,2013,A,126 min,"Drama, Romance, Sci-Fi",8,"In a near future, a lonely writer develops an unlikely relationship with an operating system designed to meet his every need.",90,Spike Jonze,Joaquin Phoenix,Amy Adams,Scarlett Johansson,Rooney Mara,540772,"25,568,251" +"https://m.media-amazon.com/images/M/MV5BMTA2NDc3Njg5NDVeQTJeQWpwZ15BbWU4MDc1NDcxNTUz._V1_UX67_CR0,0,67,98_AL_.jpg",Bohemian Rhapsody,2018,UA,134 min,"Biography, Drama, Music",8,"The story of the legendary British rock band Queen and lead singer Freddie Mercury, leading up to their famous performance at Live Aid (1985).",49,Bryan Singer,Rami Malek,Lucy Boynton,Gwilym Lee,Ben Hardy,450349,"216,428,042" +"https://m.media-amazon.com/images/M/MV5BMDE5OWMzM2QtOTU2ZS00NzAyLWI2MDEtOTRlYjIxZGM0OWRjXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Revenant,2015,A,156 min,"Action, Adventure, Drama",8,A frontiersman on a fur trading expedition in the 1820s fights for survival after being mauled by a bear and left for dead by members of his own hunting team.,76,Alejandro G. Iñárritu,Leonardo DiCaprio,Tom Hardy,Will Poulter,Domhnall Gleeson,705589,"183,637,894" +"https://m.media-amazon.com/images/M/MV5BZThjMmQ5YjktMTUyMC00MjljLWJmMTAtOWIzNDIzY2VhNzQ0XkEyXkFqcGdeQXVyMTAyNjg4NjE0._V1_UX67_CR0,0,67,98_AL_.jpg",The Perks of Being a Wallflower,2012,UA,103 min,"Drama, Romance",8,An introvert freshman is taken under the wings of two seniors who welcome him to the real world,67,Stephen Chbosky,Logan Lerman,Emma Watson,Ezra Miller,Paul Rudd,462252,"17,738,570" +"https://m.media-amazon.com/images/M/MV5BMjEzMzMxOTUyNV5BMl5BanBnXkFtZTcwNjI3MDc5Ng@@._V1_UX67_CR0,0,67,98_AL_.jpg",Tropa de Elite 2: O Inimigo Agora é Outro,2010,,115 min,"Action, Crime, Drama",8,"After a prison riot, former-Captain Nascimento, now a high ranking security officer in Rio de Janeiro, is swept into a bloody political dispute that involves government officials and paramilitary groups.",71,José Padilha,Wagner Moura,Irandhir Santos,André Ramiro,Milhem Cortaz,79200,"100,119" +"https://m.media-amazon.com/images/M/MV5BMzU5MjEwMTg2Nl5BMl5BanBnXkFtZTcwNzM3MTYxNA@@._V1_UY98_CR0,0,67,98_AL_.jpg",The King's Speech,2010,U,118 min,"Biography, Drama, History",8,"The story of King George VI, his impromptu ascension to the throne of the British Empire in 1936, and the speech therapist who helped the unsure monarch overcome his stammer.",88,Tom Hooper,Colin Firth,Geoffrey Rush,Helena Bonham Carter,Derek Jacobi,639603,"138,797,449" +"https://m.media-amazon.com/images/M/MV5BMTM5OTMyMjIxOV5BMl5BanBnXkFtZTcwNzU4MjIwNQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Help,2011,UA,146 min,Drama,8,"An aspiring author during the civil rights movement of the 1960s decides to write a book detailing the African American maids' point of view on the white families for which they work, and the hardships they go through on a daily basis.",62,Tate Taylor,Emma Stone,Viola Davis,Octavia Spencer,Bryce Dallas Howard,428521,"169,708,112" +"https://m.media-amazon.com/images/M/MV5BYzE5MjY1ZDgtMTkyNC00MTMyLThhMjAtZGI5OTE1NzFlZGJjXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Deadpool,2016,R,108 min,"Action, Adventure, Comedy",8,"A wisecracking mercenary gets experimented on and becomes immortal but ugly, and sets out to track down the man who ruined his looks.",65,Tim Miller,Ryan Reynolds,Morena Baccarin,T.J. Miller,Ed Skrein,902669,"363,070,709" +"https://m.media-amazon.com/images/M/MV5BMTQ0MzQxODQ0MV5BMl5BanBnXkFtZTgwNTQ0NzY4NDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Darbareye Elly,2009,TV-PG,119 min,"Drama, Mystery",8,The mysterious disappearance of a kindergarten teacher during a picnic in the north of Iran is followed by a series of misadventures for her fellow travelers.,87,Asghar Farhadi,Golshifteh Farahani,Shahab Hosseini,Taraneh Alidoosti,Merila Zare'i,45803,"106,662" +"https://m.media-amazon.com/images/M/MV5BYjU1NjczNzYtYmFjOC00NzkxLTg4YTUtNGYzMTk3NTU0ZDE3XkEyXkFqcGdeQXVyNDUzOTQ5MjY@._V1_UY98_CR0,0,67,98_AL_.jpg",Dev.D,2009,A,144 min,"Drama, Romance",8,"After breaking up with his childhood sweetheart, a young man finds solace in drugs. Meanwhile, a teenage girl is caught in the world of prostitution. Will they be destroyed, or will they find redemption?",,Anurag Kashyap,Abhay Deol,Mahie Gill,Kalki Koechlin,Dibyendu Bhattacharya,28749,"10,950" +"https://m.media-amazon.com/images/M/MV5BNTFmMjM3M2UtOTIyZC00Zjk3LTkzODUtYTdhNGRmNzFhYzcyXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Yip Man,2008,R,106 min,"Action, Biography, Drama",8,"During the Japanese invasion of China, a wealthy martial artist is forced to leave his home when his city is occupied. With little means of providing for themselves, Ip Man and the remaining members of the city must find a way to survive.",59,Wilson Yip,Donnie Yen,Simon Yam,Siu-Wong Fan,Ka Tung Lam,211427, +"https://m.media-amazon.com/images/M/MV5BMTUyMTA4NDYzMV5BMl5BanBnXkFtZTcwMjk5MzcxMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",My Name Is Khan,2010,UA,165 min,Drama,8,An Indian Muslim man with Asperger's syndrome takes a challenge to speak to the President of the United States seriously and embarks on a cross-country journey.,50,Karan Johar,Shah Rukh Khan,Kajol,Sheetal Menon,Katie A. Keane,98575,"4,018,695" +"https://m.media-amazon.com/images/M/MV5BMjE2NjEyMDg0M15BMl5BanBnXkFtZTcwODYyODg5Mg@@._V1_UY98_CR0,0,67,98_AL_.jpg",Nefes: Vatan Sagolsun,2009,,128 min,"Action, Drama, Thriller",8,Story of 40-man Turkish task force who must defend a relay station.,,Levent Semerci,Erdem Can,Mete Horozoglu,Ilker Kizmaz,Baris Bagci,31838, +"https://m.media-amazon.com/images/M/MV5BZmNjZWI3NzktYWI1Mi00OTAyLWJkNTYtMzUwYTFlZDA0Y2UwXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Slumdog Millionaire,2008,UA,120 min,"Drama, Romance",8,"A Mumbai teenager reflects on his life after being accused of cheating on the Indian version of ""Who Wants to be a Millionaire?"".",84,Danny Boyle,Loveleen Tandan,Dev Patel,Freida Pinto,Saurabh Shukla,798882,"141,319,928" +"https://m.media-amazon.com/images/M/MV5BNzY2NzI4OTE5MF5BMl5BanBnXkFtZTcwMjMyNDY4Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Black Swan,2010,A,108 min,"Drama, Thriller",8,"A committed dancer struggles to maintain her sanity after winning the lead role in a production of Tchaikovsky's ""Swan Lake"".",79,Darren Aronofsky,Natalie Portman,Mila Kunis,Vincent Cassel,Winona Ryder,699673,"106,954,678" +"https://m.media-amazon.com/images/M/MV5BYmI1ODU5ZjMtNWUyNC00YzllLThjNzktODE1M2E4OTVmY2E5XkEyXkFqcGdeQXVyMTExNzQzMDE0._V1_UY98_CR1,0,67,98_AL_.jpg",Tropa de Elite,2007,R,115 min,"Action, Crime, Drama",8,"In 1997 Rio de Janeiro, Captain Nascimento has to find a substitute for his position while trying to take down drug dealers and criminals before the Pope visits.",33,José Padilha,Wagner Moura,André Ramiro,Caio Junqueira,Milhem Cortaz,98097,"8,060" +"https://m.media-amazon.com/images/M/MV5BNDYxNjQyMjAtNTdiOS00NGYwLWFmNTAtNThmYjU5ZGI2YTI1XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",The Avengers,2012,UA,143 min,"Action, Adventure, Sci-Fi",8,Earth's mightiest heroes must come together and learn to fight as a team if they are going to stop the mischievous Loki and his alien army from enslaving humanity.,69,Joss Whedon,Robert Downey Jr.,Chris Evans,Scarlett Johansson,Jeremy Renner,1260806,"623,279,547" +"https://m.media-amazon.com/images/M/MV5BMGRkZThmYzEtYjQxZC00OWEzLThjYjAtYzFkMjY0NGZkZWI4XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Persepolis,2007,PG-13,96 min,"Animation, Biography, Drama",8,A precocious and outspoken Iranian girl grows up during the Islamic Revolution.,90,Vincent Paronnaud,Marjane Satrapi,Chiara Mastroianni,Catherine Deneuve,Gena Rowlands,88656,"4,445,756" +"https://m.media-amazon.com/images/M/MV5BMTYwMTA4MzgyNF5BMl5BanBnXkFtZTgwMjEyMjE0MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Dallas Buyers Club,2013,R,117 min,"Biography, Drama",8,"In 1985 Dallas, electrician and hustler Ron Woodroof works around the system to help AIDS patients get the medication they need after he is diagnosed with the disease.",80,Jean-Marc Vallée,Matthew McConaughey,Jennifer Garner,Jared Leto,Steve Zahn,441614,"27,298,285" +"https://m.media-amazon.com/images/M/MV5BMTQ5NjQ0NDI3NF5BMl5BanBnXkFtZTcwNDI0MjEzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Pursuit of Happyness,2006,U,117 min,"Biography, Drama",8,A struggling salesman takes custody of his son as he's poised to begin a life-changing professional career.,64,Gabriele Muccino,Will Smith,Thandie Newton,Jaden Smith,Brian Howe,448930,"163,566,459" +"https://m.media-amazon.com/images/M/MV5BZDMxOGZhNWYtMzRlYy00Mzk5LWJjMjEtNmQ4NDU4M2QxM2UzXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Blood Diamond,2006,A,143 min,"Adventure, Drama, Thriller",8,"A fisherman, a smuggler, and a syndicate of businessmen match wits over the possession of a priceless diamond.",64,Edward Zwick,Leonardo DiCaprio,Djimon Hounsou,Jennifer Connelly,Kagiso Kuypers,499439,"57,366,262" +"https://m.media-amazon.com/images/M/MV5BNGNiNmU2YTMtZmU4OS00MjM0LTlmYWUtMjVlYjAzYjE2N2RjXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",The Bourne Ultimatum,2007,UA,115 min,"Action, Mystery, Thriller",8,Jason Bourne dodges a ruthless C.I.A. official and his Agents from a new assassination program while searching for the origins of his life as a trained killer.,85,Paul Greengrass,Matt Damon,Edgar Ramírez,Joan Allen,Julia Stiles,604694,"227,471,070" +"https://m.media-amazon.com/images/M/MV5BMTM1ODIwNzM5OV5BMl5BanBnXkFtZTcwNjk5MDkyMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Bin-jip,2004,U,88 min,"Crime, Drama, Romance",8,A transient young man breaks into empty homes to partake of the vacationing residents' lives for a few days.,72,Ki-duk Kim,Seung-Yun Lee,Hee Jae,Hyuk-ho Kwon,Jin-mo Joo,50610,"238,507" +"https://m.media-amazon.com/images/M/MV5BODZmYjMwNzEtNzVhNC00ZTRmLTk2M2UtNzE1MTQ2ZDAxNjc2XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Sin City,2005,A,124 min,"Crime, Thriller",8,"A movie that explores the dark and miserable town, Basin City, tells the story of three different people, all caught up in violent corruption.",74,Frank Miller,Quentin Tarantino,Robert Rodriguez,Mickey Rourke,Clive Owen,738512,"74,103,820" +"https://m.media-amazon.com/images/M/MV5BMTc3MjkzMDkxN15BMl5BanBnXkFtZTcwODAyMTU1MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Le scaphandre et le papillon,2007,PG-13,112 min,"Biography, Drama",8,The true story of Elle editor Jean-Dominique Bauby who suffers a stroke and has to live with an almost totally paralyzed body; only his left eye isn't paralyzed.,92,Julian Schnabel,Laura Obiols,Mathieu Amalric,Emmanuelle Seigner,Marie-Josée Croze,103284,"5,990,075" +"https://m.media-amazon.com/images/M/MV5BMjE0MTY2MDI3NV5BMl5BanBnXkFtZTcwNTc1MzEzMQ@@._V1_UY98_CR2,0,67,98_AL_.jpg",G.O.R.A.,2004,,127 min,"Adventure, Comedy, Sci-Fi",8,A slick young Turk kidnapped by extraterrestrials shows his great « humanitarian spirit » by outwitting the evil commander-in-chief of the planet of G.O.R.A.,,Ömer Faruk Sorak,Cem Yilmaz,Özge Özberk,Ozan Güven,Safak Sezer,56960, +"https://m.media-amazon.com/images/M/MV5BMTMzODU0NTkxMF5BMl5BanBnXkFtZTcwMjQ4MzMzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Ratatouille,2007,U,111 min,"Animation, Adventure, Comedy",8,A rat who can cook makes an unusual alliance with a young kitchen worker at a famous restaurant.,96,Brad Bird,Jan Pinkava,Brad Garrett,Lou Romano,Patton Oswalt,641645,"206,445,654" +"https://m.media-amazon.com/images/M/MV5BMDI5ZWJhOWItYTlhOC00YWNhLTlkNzctNDU5YTI1M2E1MWZhXkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UX67_CR0,0,67,98_AL_.jpg",Casino Royale,2006,PG-13,144 min,"Action, Adventure, Thriller",8,"After earning 00 status and a licence to kill, Secret Agent James Bond sets out on his first mission as 007. Bond must defeat a private banker funding terrorists in a high-stakes game of poker at Casino Royale, Montenegro.",80,Martin Campbell,Daniel Craig,Eva Green,Judi Dench,Jeffrey Wright,582239,"167,445,960" +"https://m.media-amazon.com/images/M/MV5BNmFiYmJmN2QtNWQwMi00MzliLThiOWMtZjQxNGRhZTQ1MjgyXkEyXkFqcGdeQXVyNzQ1ODk3MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Kill Bill: Vol. 2,2004,A,137 min,"Action, Crime, Thriller",8,"The Bride continues her quest of vengeance against her former boss and lover Bill, the reclusive bouncer Budd, and the treacherous, one-eyed Elle.",83,Quentin Tarantino,Uma Thurman,David Carradine,Michael Madsen,Daryl Hannah,683900,"66,208,183" +"https://m.media-amazon.com/images/M/MV5BYmViZTY1OWEtMTQxMy00OGQ5LTgzZjAtYTQzOTYxNjliYTI4XkEyXkFqcGdeQXVyNjkxOTM4ODY@._V1_UY98_CR1,0,67,98_AL_.jpg",Vozvrashchenie,2003,,110 min,Drama,8,"In the Russian wilderness, two brothers face a range of new, conflicting emotions when their father - a man they know only through a single photograph - resurfaces.",82,Andrey Zvyagintsev,Vladimir Garin,Ivan Dobronravov,Konstantin Lavronenko,Nataliya Vdovina,42399,"502,028" +"https://m.media-amazon.com/images/M/MV5BZGYxOTRlM2MtNWRjZS00NDk2LWExM2EtMDFiYTgyMGJkZGYyXkEyXkFqcGdeQXVyMTA1NTM1NDI2._V1_UY98_CR1,0,67,98_AL_.jpg",Bom Yeoareum Gaeul Gyeoul Geurigo Bom,2003,R,103 min,"Drama, Romance",8,A boy is raised by a Buddhist monk in an isolated floating temple where the years pass like the seasons.,85,Ki-duk Kim,Ki-duk Kim,Yeong-su Oh,Jong-ho Kim,Kim Young-Min,77520,"2,380,788" +"https://m.media-amazon.com/images/M/MV5BMjE0NDk2NjgwMV5BMl5BanBnXkFtZTYwMTgyMzA3._V1_UX67_CR0,0,67,98_AL_.jpg",Mar adentro,2014,U,126 min,"Biography, Drama",8,"The factual story of Spaniard Ramon Sampedro, who fought a thirty-year campaign in favor of euthanasia and his own right to die.",74,Alejandro Amenábar,Javier Bardem,Belén Rueda,Lola Dueñas,Mabel Rivera,77554,"2,086,345" +"https://m.media-amazon.com/images/M/MV5BODEyYmQxZjUtZGQ0NS00ZTAwLTkwOGQtNGY2NzEwMWE0MDc3XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Cinderella Man,2005,UA,144 min,"Biography, Drama, History",8,"The story of James J. Braddock, a supposedly washed-up boxer who came back to become a champion and an inspiration in the 1930s.",69,Ron Howard,Russell Crowe,Renée Zellweger,Craig Bierko,Paul Giamatti,176151,"61,649,911" +"https://m.media-amazon.com/images/M/MV5BYmVjNDIxODAtNWZiZi00ZDBlLWJmOTUtNDNjMGExNTViMzE1XkEyXkFqcGdeQXVyNTE0MDc0NTM@._V1_UX67_CR0,0,67,98_AL_.jpg",Kal Ho Naa Ho,2003,U,186 min,"Comedy, Drama, Musical",8,"Naina, an introverted, perpetually depressed girl's life changes when she meets Aman. But Aman has a secret of his own which changes their lives forever. Embroiled in all this is Rohit, Naina's best friend who conceals his love for her.",54,Nikkhil Advani,Preity Zinta,Shah Rukh Khan,Saif Ali Khan,Jaya Bachchan,63460,"1,787,378" +"https://m.media-amazon.com/images/M/MV5BM2U0NTcxOTktN2MwZS00N2Q2LWJlYWItMTg0NWIyMDIxNzU5L2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",Mou gaan dou,2002,UA,101 min,"Action, Crime, Drama",8,"A story between a mole in the police department and an undercover cop. Their objectives are the same: to find out who is the mole, and who is the cop.",75,Andrew Lau,Alan Mak,Andy Lau,Tony Chiu-Wai Leung,Anthony Chau-Sang Wong,117857,"169,659" +"https://m.media-amazon.com/images/M/MV5BNGYyZGM5MGMtYTY2Ni00M2Y1LWIzNjQtYWUzM2VlNGVhMDNhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Pirates of the Caribbean: The Curse of the Black Pearl,2003,UA,143 min,"Action, Adventure, Fantasy",8,"Blacksmith Will Turner teams up with eccentric pirate ""Captain"" Jack Sparrow to save his love, the governor's daughter, from Jack's former pirate allies, who are now undead.",63,Gore Verbinski,Johnny Depp,Geoffrey Rush,Orlando Bloom,Keira Knightley,1015122,"305,413,918" +"https://m.media-amazon.com/images/M/MV5BMmU3NzIyODctYjVhOC00NzBmLTlhNWItMzBlODEwZTlmMjUzXkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UX67_CR0,0,67,98_AL_.jpg",Big Fish,2003,U,125 min,"Adventure, Drama, Fantasy",8,A frustrated son tries to determine the fact from fiction in his dying father's life.,58,Tim Burton,Ewan McGregor,Albert Finney,Billy Crudup,Jessica Lange,415218,"66,257,002" +"https://m.media-amazon.com/images/M/MV5BMTY5OTU0OTc2NV5BMl5BanBnXkFtZTcwMzU4MDcyMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Incredibles,2004,U,115 min,"Animation, Action, Adventure",8,"A family of undercover superheroes, while trying to live the quiet suburban life, are forced into action to save the world.",90,Brad Bird,Craig T. Nelson,Samuel L. Jackson,Holly Hunter,Jason Lee,657047,"261,441,092" +"https://m.media-amazon.com/images/M/MV5BMjM2NTYxMTE3OV5BMl5BanBnXkFtZTgwNDgwNjgwMzE@._V1_UY98_CR3,0,67,98_AL_.jpg",Yeopgijeogin geunyeo,2001,,137 min,"Comedy, Drama, Romance",8,"A young man sees a drunk, cute woman standing too close to the tracks at a metro station in Seoul and pulls her back. She ends up getting him into trouble repeatedly after that, starting on the train.",,Jae-young Kwak,Tae-Hyun Cha,Jun Ji-Hyun,In-mun Kim,Song Wok-suk,45403, +"https://m.media-amazon.com/images/M/MV5BMTkwNTg2MTI1NF5BMl5BanBnXkFtZTcwMDM1MzUyMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Dogville,2003,R,178 min,"Crime, Drama",8,"A woman on the run from the mob is reluctantly accepted in a small Colorado community in exchange for labor, but when a search visits the town she finds out that their support has a price.",60,Lars von Trier,Nicole Kidman,Paul Bettany,Lauren Bacall,Harriet Andersson,137963,"1,530,386" +"https://m.media-amazon.com/images/M/MV5BMjA2MzM4NjkyMF5BMl5BanBnXkFtZTYwMTQ2ODc5._V1_UY98_CR2,0,67,98_AL_.jpg",Vizontele,2001,,110 min,"Comedy, Drama",8,Lives of residents in a small Anatolian village change when television is introduced to them,,Yilmaz Erdogan,Ömer Faruk Sorak,Yilmaz Erdogan,Demet Akbag,Altan Erkekli,33592, +"https://m.media-amazon.com/images/M/MV5BZjZlZDlkYTktMmU1My00ZDBiLWFlNjEtYTBhNjVhOTM4ZjJjXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Donnie Darko,2001,R,113 min,"Drama, Mystery, Sci-Fi",8,"After narrowly escaping a bizarre accident, a troubled teenager is plagued by visions of a man in a large rabbit suit who manipulates him to commit a series of crimes.",88,Richard Kelly,Jake Gyllenhaal,Jena Malone,Mary McDonnell,Holmes Osborne,740086,"1,480,006" +"https://m.media-amazon.com/images/M/MV5BZjk3YThkNDktNjZjMS00MTBiLTllNTAtYzkzMTU0N2QwYjJjXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Magnolia,1999,R,188 min,Drama,8,"An epic mosaic of interrelated characters in search of love, forgiveness, and meaning in the San Fernando Valley.",77,Paul Thomas Anderson,Tom Cruise,Jason Robards,Julianne Moore,Philip Seymour Hoffman,289742,"22,455,976" +"https://m.media-amazon.com/images/M/MV5BNDVkYWMxNWEtNjc2MC00OGI5LWI3NmUtYWUwNDQyOTc3YmY5XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Dancer in the Dark,2000,U,140 min,"Crime, Drama, Musical",8,"An East European girl travels to the United States with her young son, expecting it to be like a Hollywood film.",61,Lars von Trier,Björk,Catherine Deneuve,David Morse,Peter Stormare,102285,"4,184,036" +"https://m.media-amazon.com/images/M/MV5BNmE1MDk4OWEtYjk1NS00MWU2LTk5ZWItYjZhYmRkODRjMDc0XkEyXkFqcGdeQXVyNjE5MjUyOTM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Straight Story,1999,U,112 min,"Biography, Drama",8,An old man makes a long journey by lawnmower to mend his relationship with an ill brother.,86,David Lynch,Richard Farnsworth,Sissy Spacek,Jane Galloway Heitz,Joseph A. Carpenter,82002,"6,203,044" +"https://m.media-amazon.com/images/M/MV5BMmMzOWNhNTYtYmY0My00OGJiLWIzNDUtZWRhNGY0NWFjNzFmXkEyXkFqcGdeQXVyNjUxMDQ0MTg@._V1_UX67_CR0,0,67,98_AL_.jpg",Pâfekuto burû,1997,A,81 min,"Animation, Crime, Mystery",8,"A pop singer gives up her career to become an actress, but she slowly goes insane when she starts being stalked by an obsessed fan and what seems to be a ghost of her past.",,Satoshi Kon,Junko Iwao,Rica Matsumoto,Shinpachi Tsuji,Masaaki Ôkura,58192,"776,665" +"https://m.media-amazon.com/images/M/MV5BYTg3Yjc4N2QtZDdlNC00NmU2LWFiYjktYjI3NTMwMjk4M2FmXkEyXkFqcGdeQXVyMjgyNjk3MzE@._V1_UY98_CR4,0,67,98_AL_.jpg",Festen,1998,R,105 min,Drama,8,"At Helge's 60th birthday party, some unpleasant family truths are revealed.",82,Thomas Vinterberg,Ulrich Thomsen,Henning Moritzen,Thomas Bo Larsen,Paprika Steen,78341,"1,647,780" +"https://m.media-amazon.com/images/M/MV5BMjE3ZDA5ZmUtYTk1ZS00NmZmLWJhNTItYjIwZjUwN2RjNzIyXkEyXkFqcGdeQXVyMTkzODUwNzk@._V1_UX67_CR0,0,67,98_AL_.jpg",Central do Brasil,1998,R,110 min,Drama,8,"An emotive journey of a former school teacher, who writes letters for illiterate people, and a young boy, whose mother has just died, as they search for the father he never knew.",80,Walter Salles,Fernanda Montenegro,Vinícius de Oliveira,Marília Pêra,Soia Lira,36419,"5,595,428" +"https://m.media-amazon.com/images/M/MV5BMjIxNDU2Njk0OV5BMl5BanBnXkFtZTgwODc3Njc3NjE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Iron Giant,1999,PG,86 min,"Animation, Action, Adventure",8,A young boy befriends a giant robot from outer space that a paranoid government agent wants to destroy.,85,Brad Bird,Eli Marienthal,Harry Connick Jr.,Jennifer Aniston,Vin Diesel,172083,"23,159,305" +"https://m.media-amazon.com/images/M/MV5BMTk2MjcxNjMzN15BMl5BanBnXkFtZTgwMTE3OTEwNjE@._V1_UY98_CR3,0,67,98_AL_.jpg",Knockin' on Heaven's Door,1997,,87 min,"Action, Crime, Comedy",8,"Two terminally ill patients escape from a hospital, steal a car and rush towards the sea.",,Thomas Jahn,Til Schweiger,Jan Josef Liefers,Thierry van Werveke,Moritz Bleibtreu,27721,"3,296" +"https://m.media-amazon.com/images/M/MV5BNGY5NWIxMjAtODBjNC00MmZhLTk1ZTAtNGRhYThlOTNjMTQwXkEyXkFqcGdeQXVyNTc1NTQxODI@._V1_UX67_CR0,0,67,98_AL_.jpg",Sling Blade,1996,R,135 min,Drama,8,"Karl Childers, a simple man hospitalized since his childhood murder of his mother and her lover, is released to start a new life in a small town.",84,Billy Bob Thornton,Billy Bob Thornton,Dwight Yoakam,J.T. Walsh,John Ritter,86838,"24,475,416" +"https://m.media-amazon.com/images/M/MV5BY2QzMTIxNjItNGQyNy00MjQzLWJiYTItMzIyZjdkYjYyYjRlXkEyXkFqcGdeQXVyMTAwMzUyOTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Secrets & Lies,1996,U,136 min,"Comedy, Drama",8,"Following the death of her adoptive parents, a successful young black optometrist establishes contact with her biological mother -- a lonely white factory worker living in poverty in East London.",91,Mike Leigh,Timothy Spall,Brenda Blethyn,Phyllis Logan,Claire Rushbrook,37564,"13,417,292" +"https://m.media-amazon.com/images/M/MV5BN2Y2OWU4MWMtNmIyMy00YzMyLWI0Y2ItMTcyZDc3MTdmZDU4XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Twelve Monkeys,1995,A,129 min,"Mystery, Sci-Fi, Thriller",8,"In a future world devastated by disease, a convict is sent back in time to gather information about the man-made virus that wiped out most of the human population on the planet.",74,Terry Gilliam,Bruce Willis,Madeleine Stowe,Brad Pitt,Joseph Melito,578443,"57,141,459" +"https://m.media-amazon.com/images/M/MV5BYWRiYjQyOGItNzQ1Mi00MGI1LWE3NjItNTg1ZDQwNjUwNDM2XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Kôkaku Kidôtai,1995,UA,83 min,"Animation, Action, Crime",8,A cyborg policewoman and her partner hunt a mysterious and powerful hacker called the Puppet Master.,76,Mamoru Oshii,Atsuko Tanaka,Iemasa Kayumi,Akio Ôtsuka,Kôichi Yamadera,129231,"515,905" +"https://m.media-amazon.com/images/M/MV5BNWE4OTNiM2ItMjY4Ni00ZTViLWFiZmEtZGEyNGY2ZmNlMzIyXkEyXkFqcGdeQXVyMDU5NDcxNw@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Nightmare Before Christmas,1993,U,76 min,"Animation, Family, Fantasy",8,"Jack Skellington, king of Halloween Town, discovers Christmas Town, but his attempts to bring Christmas to his home causes confusion.",82,Henry Selick,Danny Elfman,Chris Sarandon,Catherine O'Hara,William Hickey,300208,"75,082,668" +"https://m.media-amazon.com/images/M/MV5BZWIxNzM5YzQtY2FmMS00Yjc3LWI1ZjUtNGVjMjMzZTIxZTIxXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Groundhog Day,1993,U,101 min,"Comedy, Fantasy, Romance",8,A weatherman finds himself inexplicably living the same day over and over again.,72,Harold Ramis,Bill Murray,Andie MacDowell,Chris Elliott,Stephen Tobolowsky,577991,"70,906,973" +"https://m.media-amazon.com/images/M/MV5BNzZmMjAxNjQtZjQzOS00NjU4LWI0NDktZjlkZTgwNjVmNzU3XkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",Bound by Honor,1993,R,180 min,"Crime, Drama",8,"Based on the true life experiences of poet Jimmy Santiago Baca, the film focuses on step-brothers Paco and Cruz, and their bi-racial cousin Miklo.",47,Taylor Hackford,Damian Chapa,Jesse Borrego,Benjamin Bratt,Enrique Castillo,28825,"4,496,583" +"https://m.media-amazon.com/images/M/MV5BZTM3ZjA3NTctZThkYy00ODYyLTk2ZjItZmE0MmZlMTk3YjQwXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Scent of a Woman,1992,UA,156 min,Drama,8,"A prep school student needing money agrees to ""babysit"" a blind man, but the job is not at all what he anticipated.",59,Martin Brest,Al Pacino,Chris O'Donnell,James Rebhorn,Gabrielle Anwar,263918,"63,895,607" +"https://m.media-amazon.com/images/M/MV5BY2Q2NDI1MjUtM2Q5ZS00MTFlLWJiYWEtNTZmNjQ3OGJkZDgxXkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",Aladdin,1992,U,90 min,"Animation, Adventure, Comedy",8,A kindhearted street urchin and a power-hungry Grand Vizier vie for a magic lamp that has the power to make their deepest wishes come true.,86,Ron Clements,John Musker,Scott Weinger,Robin Williams,Linda Larkin,373845,"217,350,219" +"https://m.media-amazon.com/images/M/MV5BYjYyODExMDctZjgwYy00ZjQwLWI4OWYtOGFlYjA4ZjEzNmY1XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",JFK,1991,UA,189 min,"Drama, History, Thriller",8,New Orleans District Attorney Jim Garrison discovers there's more to the Kennedy assassination than the official story.,72,Oliver Stone,Kevin Costner,Gary Oldman,Jack Lemmon,Walter Matthau,142110,"70,405,498" +"https://m.media-amazon.com/images/M/MV5BMzE5MDM1NDktY2I0OC00YWI5LTk2NzUtYjczNDczOWQxYjM0XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Beauty and the Beast,1991,G,84 min,"Animation, Family, Fantasy",8,A prince cursed to spend his days as a hideous monster sets out to regain his humanity by earning a young woman's love.,95,Gary Trousdale,Kirk Wise,Paige O'Hara,Robby Benson,Jesse Corti,417178,"218,967,620" +"https://m.media-amazon.com/images/M/MV5BMTY3OTI5NDczN15BMl5BanBnXkFtZTcwNDA0NDY3Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Dances with Wolves,1990,U,181 min,"Adventure, Drama, Western",8,"Lieutenant John Dunbar, assigned to a remote western Civil War outpost, befriends wolves and Indians, making him an intolerable aberration in the military.",72,Kevin Costner,Kevin Costner,Mary McDonnell,Graham Greene,Rodney A. Grant,240266,"184,208,848" +"https://m.media-amazon.com/images/M/MV5BODA2MjU1NTI1MV5BMl5BanBnXkFtZTgwOTU4ODIwMjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Do the Right Thing,1989,R,120 min,"Comedy, Drama",8,"On the hottest day of the year on a street in the Bedford-Stuyvesant section of Brooklyn, everyone's hate and bigotry smolders and builds until it explodes into violence.",93,Spike Lee,Danny Aiello,Ossie Davis,Ruby Dee,Richard Edson,89429,"27,545,445" +"https://m.media-amazon.com/images/M/MV5BMzVjNzI4NzYtMjE4NS00M2IzLWFkOWMtOTYwMWUzN2ZlNGVjL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Rain Man,1988,U,133 min,Drama,8,Selfish yuppie Charlie Babbitt's father left a fortune to his savant brother Raymond and a pittance to Charlie; they travel cross-country.,65,Barry Levinson,Dustin Hoffman,Tom Cruise,Valeria Golino,Gerald R. Molen,473064,"178,800,000" +"https://m.media-amazon.com/images/M/MV5BM2ZiZTk1ODgtMTZkNS00NTYxLWIxZTUtNWExZGYwZTRjODViXkEyXkFqcGdeQXVyMTE2MzA3MDM@._V1_UX67_CR0,0,67,98_AL_.jpg",Akira,1988,UA,124 min,"Animation, Action, Sci-Fi",8,A secret military project endangers Neo-Tokyo when it turns a biker gang member into a rampaging psychic psychopath who can only be stopped by two teenagers and a group of psychics.,,Katsuhiro Ôtomo,Mitsuo Iwata,Nozomu Sasaki,Mami Koyama,Tesshô Genda,164918,"553,171" +"https://m.media-amazon.com/images/M/MV5BMGM4M2Q5N2MtNThkZS00NTc1LTk1NTItNWEyZjJjNDRmNDk5XkEyXkFqcGdeQXVyMjA0MDQ0Mjc@._V1_UX67_CR0,0,67,98_AL_.jpg",The Princess Bride,1987,U,98 min,"Adventure, Family, Fantasy",8,"While home sick in bed, a young boy's grandfather reads him the story of a farmboy-turned-pirate who encounters numerous obstacles, enemies and allies in his quest to be reunited with his true love.",77,Rob Reiner,Cary Elwes,Mandy Patinkin,Robin Wright,Chris Sarandon,393899,"30,857,814" +"https://m.media-amazon.com/images/M/MV5BMzMxZjUzOGQtOTFlOS00MzliLWJhNTUtOTgyNzYzMWQ2YzhmXkEyXkFqcGdeQXVyNjQ2MjQ5NzM@._V1_UY98_CR0,0,67,98_AL_.jpg",Der Himmel über Berlin,1987,U,128 min,"Drama, Fantasy, Romance",8,An angel tires of overseeing human activity and wishes to become human when he falls in love with a mortal.,79,Wim Wenders,Bruno Ganz,Solveig Dommartin,Otto Sander,Curt Bois,64722,"3,333,969" +"https://m.media-amazon.com/images/M/MV5BZmYxOTA5YTEtNDY3Ni00YTE5LWE1MTgtYjc4ZWUxNWY3ZTkxXkEyXkFqcGdeQXVyNjQ2MjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Au revoir les enfants,1987,U,104 min,"Drama, War",8,"A French boarding school run by priests seems to be a haven from World War II until a new student arrives. He becomes the roommate of the top student in his class. Rivals at first, the roommates form a bond and share a secret.",88,Louis Malle,Gaspard Manesse,Raphael Fejtö,Francine Racette,Stanislas Carré de Malberg,31163,"4,542,825" +"https://m.media-amazon.com/images/M/MV5BNTg0NmI1ZGQtZTUxNC00NTgxLThjMDUtZmRlYmEzM2MwOWYwXkEyXkFqcGdeQXVyMzM4MjM0Nzg@._V1_UY98_CR1,0,67,98_AL_.jpg",Tenkû no shiro Rapyuta,1986,U,125 min,"Animation, Adventure, Drama",8,A young boy and a girl with a magic crystal must race against pirates and foreign agents in a search for a legendary floating castle.,78,Hayao Miyazaki,Mayumi Tanaka,Keiko Yokozawa,Kotoe Hatsui,Minori Terada,150140, +"https://m.media-amazon.com/images/M/MV5BYTViNzMxZjEtZGEwNy00MDNiLWIzNGQtZDY2MjQ1OWViZjFmXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Terminator,1984,UA,107 min,"Action, Sci-Fi",8,"A human soldier is sent from 2029 to 1984 to stop an almost indestructible cyborg killing machine, sent from the same year, which has been programmed to execute a young woman whose unborn son is the key to humanity's future salvation.",84,James Cameron,Arnold Schwarzenegger,Linda Hamilton,Michael Biehn,Paul Winfield,799795,"38,400,000" +"https://m.media-amazon.com/images/M/MV5BMzJiZDRmOWUtYjE2MS00Mjc1LTg1ZDYtNTQxYWJkZTg1OTM4XkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UX67_CR0,0,67,98_AL_.jpg",Gandhi,1982,U,191 min,"Biography, Drama, History",8,The life of the lawyer who became the famed leader of the Indian revolts against the British rule through his philosophy of nonviolent protest.,79,Richard Attenborough,Ben Kingsley,John Gielgud,Rohini Hattangadi,Roshan Seth,217664,"52,767,889" +"https://m.media-amazon.com/images/M/MV5BMzFhNWVmNWItNGM5OC00NjZhLTk3YTQtMjE1ODUyOThlMjNmL2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Kagemusha,1980,U,180 min,"Drama, History, War",8,A petty thief with an utter resemblance to a samurai warlord is hired as the lord's double. When the warlord later dies the thief is forced to take up arms in his place.,84,Akira Kurosawa,Tatsuya Nakadai,Tsutomu Yamazaki,Ken'ichi Hagiwara,Jinpachi Nezu,32195, +"https://m.media-amazon.com/images/M/MV5BNjAzNzJjYzQtMGFmNS00ZjAzLTkwMjgtMWIzYzFkMzM4Njg3XkEyXkFqcGdeQXVyMTY5Nzc4MDY@._V1_UX67_CR0,0,67,98_AL_.jpg",Being There,1979,PG,130 min,"Comedy, Drama",8,"A simpleminded, sheltered gardener becomes an unlikely trusted advisor to a powerful businessman and an insider in Washington politics.",83,Hal Ashby,Peter Sellers,Shirley MacLaine,Melvyn Douglas,Jack Warden,65625,"30,177,511" +"https://m.media-amazon.com/images/M/MV5BZDg1OGQ4YzgtM2Y2NS00NjA3LWFjYTctMDRlMDI3NWE1OTUyXkEyXkFqcGdeQXVyMjUzOTY1NTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Annie Hall,1977,A,93 min,"Comedy, Romance",8,Neurotic New York comedian Alvy Singer falls in love with the ditzy Annie Hall.,92,Woody Allen,Woody Allen,Diane Keaton,Tony Roberts,Carol Kane,251823,"39,200,000" +"https://m.media-amazon.com/images/M/MV5BMmVmODY1MzEtYTMwZC00MzNhLWFkNDMtZjAwM2EwODUxZTA5XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Jaws,1975,A,124 min,"Adventure, Thriller",8,"When a killer shark unleashes chaos on a beach community, it's up to a local sheriff, a marine biologist, and an old seafarer to hunt the beast down.",87,Steven Spielberg,Roy Scheider,Robert Shaw,Richard Dreyfuss,Lorraine Gary,543388,"260,000,000" +"https://m.media-amazon.com/images/M/MV5BODExZmE2ZWItYTIzOC00MzI1LTgyNTktMDBhNmFhY2Y4OTQ3XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Dog Day Afternoon,1975,U,125 min,"Biography, Crime, Drama",8,"Three amateur bank robbers plan to hold up a bank. A nice simple robbery: Walk in, take the money, and run. Unfortunately, the supposedly uncomplicated heist suddenly becomes a bizarre nightmare as everything that could go wrong does.",86,Sidney Lumet,Al Pacino,John Cazale,Penelope Allen,Sully Boyar,235652,"50,000,000" +"https://m.media-amazon.com/images/M/MV5BMTEwNjg2MjM2ODFeQTJeQWpwZ15BbWU4MDQ1MDU5OTEx._V1_UX67_CR0,0,67,98_AL_.jpg",Young Frankenstein,1974,A,106 min,Comedy,8,"An American grandson of the infamous scientist, struggling to prove that his grandfather was not as insane as people believe, is invited to Transylvania, where he discovers the process that reanimates a dead body.",80,Mel Brooks,Gene Wilder,Madeline Kahn,Marty Feldman,Peter Boyle,143359,"86,300,000" +"https://m.media-amazon.com/images/M/MV5BZGRjZjQ0NzAtYmZlNS00Zjc1LTk1YWItMDY5YzQxMzA4MTAzXkEyXkFqcGdeQXVyMjI4MjA5MzA@._V1_UX67_CR0,0,67,98_AL_.jpg",Papillon,1973,R,151 min,"Biography, Crime, Drama",8,"A man befriends a fellow criminal as the two of them begin serving their sentence on a dreadful prison island, which inspires the man to plot his escape.",58,Franklin J. Schaffner,Steve McQueen,Dustin Hoffman,Victor Jory,Don Gordon,121627,"53,267,000" +"https://m.media-amazon.com/images/M/MV5BYjhmMGMxZDYtMTkyNy00YWVmLTgyYmUtYTU3ZjcwNTBjN2I1XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Exorcist,1973,A,122 min,Horror,8,"When a 12-year-old girl is possessed by a mysterious entity, her mother seeks the help of two priests to save her.",81,William Friedkin,Ellen Burstyn,Max von Sydow,Linda Blair,Lee J. Cobb,362393,"232,906,145" +"https://m.media-amazon.com/images/M/MV5BM2EzZmFmMmItODY3Zi00NjdjLWE0MTYtZWQ3MGIyM2M4YjZhXkEyXkFqcGdeQXVyMzg2MzE2OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Sleuth,1972,PG,138 min,"Mystery, Thriller",8,"A man who loves games and theater invites his wife's lover to meet him, setting up a battle of wits with potentially deadly results.",,Joseph L. Mankiewicz,Laurence Olivier,Michael Caine,Alec Cawthorne,John Matthews,44748,"4,081,254" +"https://m.media-amazon.com/images/M/MV5BNmVjNzZkZjQtYmM5ZC00M2I0LWJhNzktNDk3MGU1NWMxMjFjXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Last Picture Show,1971,R,118 min,"Drama, Romance",8,"In 1951, a group of high schoolers come of age in a bleak, isolated, atrophied North Texas town that is slowly dying, both culturally and economically.",93,Peter Bogdanovich,Timothy Bottoms,Jeff Bridges,Cybill Shepherd,Ben Johnson,42456,"29,133,000" +"https://m.media-amazon.com/images/M/MV5BMWMxNDYzNmUtYjFmNC00MGM2LWFmNzMtODhlMGNkNDg5MjE5XkEyXkFqcGdeQXVyNjE5MjUyOTM@._V1_UX67_CR0,0,67,98_AL_.jpg",Fiddler on the Roof,1971,G,181 min,"Drama, Family, Musical",8,"In prerevolutionary Russia, a Jewish peasant contends with marrying off three of his daughters while growing anti-Semitic sentiment threatens his village.",67,Norman Jewison,Topol,Norma Crane,Leonard Frey,Molly Picon,39491,"80,500,000" +"https://m.media-amazon.com/images/M/MV5BODFlYzU4YTItN2EwYi00ODI3LTkwNTQtMDdkNjM3YjMyMTgyXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UY98_CR0,0,67,98_AL_.jpg",Il conformista,1970,UA,113 min,Drama,8,"A weak-willed Italian man becomes a fascist flunky who goes abroad to arrange the assassination of his old teacher, now a political dissident.",100,Bernardo Bertolucci,Jean-Louis Trintignant,Stefania Sandrelli,Gastone Moschin,Enzo Tarascio,27067,"541,940" +"https://m.media-amazon.com/images/M/MV5BMTkyMTM2NDk5Nl5BMl5BanBnXkFtZTgwNzY1NzEyMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Butch Cassidy and the Sundance Kid,1969,PG,110 min,"Biography, Crime, Drama",8,"Wyoming, early 1900s. Butch Cassidy and The Sundance Kid are the leaders of a band of outlaws. After a train robbery goes wrong they find themselves on the run with a posse hard on their heels. Their solution - escape to Bolivia.",66,George Roy Hill,Paul Newman,Robert Redford,Katharine Ross,Strother Martin,201888,"102,308,889" +"https://m.media-amazon.com/images/M/MV5BZmEwZGU2NzctYzlmNi00MGJkLWE3N2MtYjBlN2ZhMGJkZTZiXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Rosemary's Baby,1968,A,137 min,"Drama, Horror",8,A young couple trying for a baby move into a fancy apartment surrounded by peculiar neighbors.,96,Roman Polanski,Mia Farrow,John Cassavetes,Ruth Gordon,Sidney Blackmer,193674, +"https://m.media-amazon.com/images/M/MV5BMTg0NjUwMzg5NF5BMl5BanBnXkFtZTgwNDQ0NjcwMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Planet of the Apes,1968,U,112 min,"Adventure, Sci-Fi",8,"An astronaut crew crash-lands on a planet in the distant future where intelligent talking apes are the dominant species, and humans are the oppressed and enslaved.",79,Franklin J. Schaffner,Charlton Heston,Roddy McDowall,Kim Hunter,Maurice Evans,165167,"33,395,426" +"https://m.media-amazon.com/images/M/MV5BMTQ0ODc4MDk4Nl5BMl5BanBnXkFtZTcwMTEzNzgzNA@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Graduate,1967,A,106 min,"Comedy, Drama, Romance",8,A disillusioned college graduate finds himself torn between his older lover and her daughter.,83,Mike Nichols,Dustin Hoffman,Anne Bancroft,Katharine Ross,William Daniels,253676,"104,945,305" +"https://m.media-amazon.com/images/M/MV5BMjQ5ODI1MjQtMDc0Zi00OGQ1LWE2NTYtMTg1YTkxM2E5NzFkXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Who's Afraid of Virginia Woolf?,1966,A,131 min,Drama,8,"A bitter, aging couple, with the help of alcohol, use their young houseguests to fuel anguish and emotional pain towards each other over the course of a distressing night.",75,Mike Nichols,Elizabeth Taylor,Richard Burton,George Segal,Sandy Dennis,68926, +"https://m.media-amazon.com/images/M/MV5BODIxNjhkYjEtYzUyMi00YTNjLWE1YjktNjAyY2I2MWNkNmNmL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UY98_CR1,0,67,98_AL_.jpg",The Sound of Music,1965,U,172 min,"Biography, Drama, Family",8,A woman leaves an Austrian convent to become a governess to the children of a Naval officer widower.,63,Robert Wise,Julie Andrews,Christopher Plummer,Eleanor Parker,Richard Haydn,205425,"163,214,286" +"https://m.media-amazon.com/images/M/MV5BNzdmZTk4MTktZmExNi00OWEwLTgxZDctNTE4NWMwNjc1Nzg2XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Doctor Zhivago,1965,A,197 min,"Drama, Romance, War",8,"The life of a Russian physician and poet who, although married to another, falls in love with a political activist's wife and experiences hardship during World War I and then the October Revolution.",69,David Lean,Omar Sharif,Julie Christie,Geraldine Chaplin,Rod Steiger,69903,"111,722,000" +"https://m.media-amazon.com/images/M/MV5BYjA1MGVlMGItNzgxMC00OWY4LWI4YjEtNTNmYWIzMGUxOGQzXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UY98_CR0,0,67,98_AL_.jpg",Per un pugno di dollari,1964,A,99 min,"Action, Drama, Western",8,"A wandering gunfighter plays two rival families against each other in a town torn apart by greed, pride, and revenge.",65,Sergio Leone,Clint Eastwood,Gian Maria Volontè,Marianne Koch,Wolfgang Lukschy,198219,"14,500,000" +"https://m.media-amazon.com/images/M/MV5BMTQ4MTA0NjEzMF5BMl5BanBnXkFtZTgwMDg4NDYxMzE@._V1_UY98_CR2,0,67,98_AL_.jpg",8½,1963,,138 min,Drama,8,A harried movie director retreats into his memories and fantasies.,91,Federico Fellini,Marcello Mastroianni,Anouk Aimée,Claudia Cardinale,Sandra Milo,108844,"50,690" +"https://m.media-amazon.com/images/M/MV5BNjMyZmI5NmItY2JlMi00NzU3LWI5ZGItZjhkOTE0YjEyN2Q4XkEyXkFqcGdeQXVyNDkzNTM2ODg@._V1_UX67_CR0,0,67,98_AL_.jpg",Vivre sa vie: Film en douze tableaux,1962,,80 min,Drama,8,Twelve episodic tales in the life of a Parisian woman and her slow descent into prostitution.,,Jean-Luc Godard,Anna Karina,Sady Rebbot,André S. Labarthe,Guylaine Schlumberger,28057, +"https://m.media-amazon.com/images/M/MV5BNjhjODI2NTItMGE1ZS00NThiLWE1MmYtOWE3YzcyNzY1MTJlXkEyXkFqcGdeQXVyNTc1NTQxODI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Hustler,1961,A,134 min,"Drama, Sport",8,An up-and-coming pool player plays a long-time champion in a single high-stakes match.,90,Robert Rossen,Paul Newman,Jackie Gleason,Piper Laurie,George C. Scott,75067,"8,284,000" +"https://m.media-amazon.com/images/M/MV5BODQ0NzY5NGEtYTc5NC00Yjg4LTg4Y2QtZjE2MTkyYTNmNmU2L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UY98_CR1,0,67,98_AL_.jpg",La dolce vita,1960,A,174 min,"Comedy, Drama",8,A series of stories following a week in the life of a philandering paparazzo journalist living in Rome.,95,Federico Fellini,Marcello Mastroianni,Anita Ekberg,Anouk Aimée,Yvonne Furneaux,66621,"19,516,000" +"https://m.media-amazon.com/images/M/MV5BZDVhMTk1NjUtYjc0OS00OTE1LTk1NTYtYWMzMDI5OTlmYzU2XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Rio Bravo,1959,Passed,141 min,"Action, Drama, Western",8,"A small-town sheriff in the American West enlists the help of a cripple, a drunk, and a young gunfighter in his efforts to hold in jail the brother of the local bad guy.",93,Howard Hawks,John Wayne,Dean Martin,Ricky Nelson,Angie Dickinson,56305,"12,535,000" +"https://m.media-amazon.com/images/M/MV5BMzM0MzE2ZTAtZTBjZS00MTk5LTg5OTEtNjNmYmQ5NzU2OTUyXkEyXkFqcGdeQXVyNDY2MTk1ODk@._V1_UX67_CR0,0,67,98_AL_.jpg",Anatomy of a Murder,1959,,161 min,"Crime, Drama, Mystery",8,"In a murder trial, the defendant says he suffered temporary insanity after the victim raped his wife. What is the truth, and will he win his case?",95,Otto Preminger,James Stewart,Lee Remick,Ben Gazzara,Arthur O'Connell,59847,"11,900,000" +"https://m.media-amazon.com/images/M/MV5BOTA1MjA3M2EtMmJjZS00OWViLTkwMTEtM2E5ZDk0NTAyNGJiXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Touch of Evil,1958,PG-13,95 min,"Crime, Drama, Film-Noir",8,"A stark, perverse story of murder, kidnapping, and police corruption in a Mexican border town.",99,Orson Welles,Charlton Heston,Orson Welles,Janet Leigh,Joseph Calleia,98431,"2,237,659" +"https://m.media-amazon.com/images/M/MV5BMzFhNTMwNDMtZjY3Yy00NzY3LWI1ZWQtZTQxMWJmODVhZWFkXkEyXkFqcGdeQXVyNjQzNDI3NzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Cat on a Hot Tin Roof,1958,A,108 min,Drama,8,Brick is an alcoholic ex-football player who drinks his days away and resists the affections of his wife. A reunion with his terminal father jogs a host of memories and revelations for both father and son.,84,Richard Brooks,Elizabeth Taylor,Paul Newman,Burl Ives,Jack Carson,45062,"17,570,324" +"https://m.media-amazon.com/images/M/MV5BMjE5NTU3YWYtOWIxNi00YWZhLTg2NzktYzVjZWY5MDQ4NzVlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Sweet Smell of Success,1957,Approved,96 min,"Drama, Film-Noir",8,Powerful but unethical Broadway columnist J.J. Hunsecker coerces unscrupulous press agent Sidney Falco into breaking up his sister's romance with a jazz musician.,100,Alexander Mackendrick,Burt Lancaster,Tony Curtis,Susan Harrison,Martin Milner,28137, +"https://m.media-amazon.com/images/M/MV5BMDE5ZjAwY2YtOWM5Yi00ZWNlLWE5ODQtYjA4NzA1NGFkZDU5XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Killing,1956,Approved,84 min,"Crime, Drama, Film-Noir",8,Crook Johnny Clay assembles a five man team to plan and execute a daring race-track robbery.,91,Stanley Kubrick,Sterling Hayden,Coleen Gray,Vince Edwards,Jay C. Flippen,81702, +"https://m.media-amazon.com/images/M/MV5BYTNjN2M2MzYtZGEwMi00Mzc5LWEwYTMtODM1ZmRiZjFiNTU0L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Night of the Hunter,1955,,92 min,"Crime, Drama, Film-Noir",8,"A religious fanatic marries a gullible widow whose young children are reluctant to tell him where their real daddy hid the $10,000 he'd stolen in a robbery.",99,Charles Laughton,Robert Mitchum,Shelley Winters,Lillian Gish,James Gleason,81980,"654,000" +"https://m.media-amazon.com/images/M/MV5BYjUyOGMyMTQtYTM5Yy00MjFiLTk2OGItMWYwMDc2YmM1YzhiXkEyXkFqcGdeQXVyMjA0MzYwMDY@._V1_UY98_CR2,0,67,98_AL_.jpg",La Strada,1954,,108 min,Drama,8,"A care-free girl is sold to a traveling entertainer, consequently enduring physical and emotional pain along the way.",,Federico Fellini,Anthony Quinn,Giulietta Masina,Richard Basehart,Aldo Silvani,58314, +"https://m.media-amazon.com/images/M/MV5BMGJmNmU5OTAtOTQyYy00MmM3LTk4MzUtMGFiZDYzODdmMmU4XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UY98_CR3,0,67,98_AL_.jpg",Les diaboliques,1955,,117 min,"Crime, Drama, Horror",8,The wife and mistress of a loathed school principal plan to murder him with what they believe is the perfect alibi.,,Henri-Georges Clouzot,Simone Signoret,Véra Clouzot,Paul Meurisse,Charles Vanel,61503, +"https://m.media-amazon.com/images/M/MV5BNDMyNGU0NjUtNTIxMC00ZmU2LWE0ZGItZTdkNGVlODI2ZDcyL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Stalag 17,1953,,120 min,"Comedy, Drama, War",8,"When two escaping American World War II prisoners are killed, the German P.O.W. camp barracks black marketeer, J.J. Sefton, is suspected of being an informer.",84,Billy Wilder,William Holden,Don Taylor,Otto Preminger,Robert Strauss,51046, +"https://m.media-amazon.com/images/M/MV5BMTE2MDM4MTMtZmNkZC00Y2QyLWE0YjUtMTAxZGJmODMxMDM0XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Roman Holiday,1953,,118 min,"Comedy, Romance",8,A bored and sheltered princess escapes her guardians and falls in love with an American newsman in Rome.,78,William Wyler,Gregory Peck,Audrey Hepburn,Eddie Albert,Hartley Power,127256, +"https://m.media-amazon.com/images/M/MV5BNzk2M2Y3MzYtNGMzMi00Y2FjLTkwODQtNmExYWU3ZWY3NzExXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",A Streetcar Named Desire,1951,A,122 min,Drama,8,Disturbed Blanche DuBois moves in with her sister in New Orleans and is tormented by her brutish brother-in-law while her reality crumbles around her.,97,Elia Kazan,Vivien Leigh,Marlon Brando,Kim Hunter,Karl Malden,99182,"8,000,000" +"https://m.media-amazon.com/images/M/MV5BNjRmZjcwZTQtYWY0ZS00ODAwLTg4YTktZDhlZDMwMTM1MGFkXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",In a Lonely Place,1950,,94 min,"Drama, Film-Noir, Mystery",8,"A potentially violent screenwriter is a murder suspect until his lovely neighbor clears him. However, she soon starts to have her doubts.",,Nicholas Ray,Humphrey Bogart,Gloria Grahame,Frank Lovejoy,Carl Benton Reid,26784, +"https://m.media-amazon.com/images/M/MV5BZjc1Yzc0ZmItMzU1OS00OWVlLThmYTctMWNlYmFlMjkxMzc0XkEyXkFqcGdeQXVyNTA1NjYyMDk@._V1_UY98_CR32,0,67,98_AL_.jpg",Kind Hearts and Coronets,1949,U,106 min,"Comedy, Crime",8,A distant poor relative of the Duke D'Ascoyne plots to inherit the title by murdering the eight other heirs who stand ahead of him in the line of succession.,,Robert Hamer,Dennis Price,Alec Guinness,Valerie Hobson,Joan Greenwood,34485, +"https://m.media-amazon.com/images/M/MV5BYWFjMDNlYzItY2VlMS00ZTRkLWJjYTEtYjI5NmFlMGE3MzQ2XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Rope,1948,A,80 min,"Crime, Drama, Mystery",8,Two men attempt to prove they committed the perfect crime by hosting a dinner party after strangling their former classmate to death.,73,Alfred Hitchcock,James Stewart,John Dall,Farley Granger,Dick Hogan,129783, +"https://m.media-amazon.com/images/M/MV5BMDE0MjYxYmMtM2VhMC00MjhiLTg5NjItMDkzZGM5MGVlYjMxL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Out of the Past,1947,,97 min,"Crime, Drama, Film-Noir",8,"A private eye escapes his past to run a gas station in a small town, but his past catches up with him. Now he must return to the big city world of danger, corruption, double crosses and duplicitous dames.",,Jacques Tourneur,Robert Mitchum,Jane Greer,Kirk Douglas,Rhonda Fleming,32784, +"https://m.media-amazon.com/images/M/MV5BYWQ0MGNjOTYtMWJlNi00YWMxLWFmMzktYjAyNTVkY2U1NWNhL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Brief Encounter,1945,U,86 min,"Drama, Romance",8,"Meeting a stranger in a railway station, a woman is tempted to cheat on her husband.",92,David Lean,Celia Johnson,Trevor Howard,Stanley Holloway,Joyce Carey,35601, +"https://m.media-amazon.com/images/M/MV5BYjkxOGM5OTktNTRmZi00MjhlLWE2MDktNzY3NjY3NmRjNDUyXkEyXkFqcGdeQXVyNDY2MTk1ODk@._V1_UX67_CR0,0,67,98_AL_.jpg",Laura,1944,Passed,88 min,"Drama, Film-Noir, Mystery",8,A police detective falls in love with the woman whose murder he is investigating.,,Otto Preminger,Gene Tierney,Dana Andrews,Clifton Webb,Vincent Price,42725,"4,360,000" +"https://m.media-amazon.com/images/M/MV5BY2RmNTRjYzctODI4Ni00MzQyLWEyNTAtNjU0N2JkMTNhNjJkXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Best Years of Our Lives,1946,Approved,170 min,"Drama, Romance, War",8,Three World War II veterans return home to small-town America to discover that they and their families have been irreparably changed.,93,William Wyler,Myrna Loy,Dana Andrews,Fredric March,Teresa Wright,57259,"23,650,000" +"https://m.media-amazon.com/images/M/MV5BZDVlNTBjMjctNjAzNS00ZGJhLTg2NzMtNzIwYTIzYTBiMDkyXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Arsenic and Old Lace,1942,,118 min,"Comedy, Crime, Thriller",8,A writer of books on the futility of marriage risks his reputation when he decides to get married. Things get even more complicated when he learns on his wedding day that his beloved maiden aunts are habitual murderers.,,Frank Capra,Cary Grant,Priscilla Lane,Raymond Massey,Jack Carson,65101, +"https://m.media-amazon.com/images/M/MV5BZjIwNGM1ZTUtOThjYS00NDdiLTk2ZDYtNGY5YjJkNzliM2JjL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Maltese Falcon,1941,,100 min,"Film-Noir, Mystery",8,"A private detective takes on a case that involves him with three eccentric criminals, a gorgeous liar, and their quest for a priceless statuette.",96,John Huston,Humphrey Bogart,Mary Astor,Gladys George,Peter Lorre,148928,"2,108,060" +"https://m.media-amazon.com/images/M/MV5BNzJiOGI2MjctYjUyMS00ZjkzLWE2ZmUtOTg4NTZkOTNhZDc1L2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Grapes of Wrath,1940,Passed,129 min,"Drama, History",8,"A poor Midwest family is forced off their land. They travel to California, suffering the misfortunes of the homeless in the Great Depression.",96,John Ford,Henry Fonda,Jane Darwell,John Carradine,Charley Grapewin,85559,"55,000" +"https://m.media-amazon.com/images/M/MV5BNjUyMTc4MDExMV5BMl5BanBnXkFtZTgwNDg0NDIwMjE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Wizard of Oz,1939,U,102 min,"Adventure, Family, Fantasy",8,Dorothy Gale is swept away from a farm in Kansas to a magical land of Oz in a tornado and embarks on a quest with her new friends to see the Wizard who can help her return home to Kansas and help her friends as well.,92,Victor Fleming,George Cukor,Mervyn LeRoy,Norman Taurog,Richard Thorpe,371379,"2,076,020" +"https://m.media-amazon.com/images/M/MV5BYTE4NjYxMGEtZmQxZi00YWVmLWJjZTctYTJmNDFmZGEwNDVhXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR2,0,67,98_AL_.jpg",La règle du jeu,1939,,110 min,"Comedy, Drama",8,"A bourgeois life in France at the onset of World War II, as the rich and their poor servants meet up at a French chateau.",,Jean Renoir,Marcel Dalio,Nora Gregor,Paulette Dubost,Mila Parély,26725, +"https://m.media-amazon.com/images/M/MV5BYmFlOWMwMjAtMDMyMC00N2JjLTllODUtZjY3YWU3NGRkM2I2L2ltYWdlXkEyXkFqcGdeQXVyMjUxODE0MDY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Thin Man,1934,TV-PG,91 min,"Comedy, Crime, Mystery",8,"Former detective Nick Charles and his wealthy wife Nora investigate a murder case, mostly for the fun of it.",86,W.S. Van Dyke,William Powell,Myrna Loy,Maureen O'Sullivan,Nat Pendleton,26642, +"https://m.media-amazon.com/images/M/MV5BMzg2MWQ4MDEtOGZlNi00MTg0LWIwMjQtYWY5NTQwYmUzMWNmXkEyXkFqcGdeQXVyMzg2MzE2OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",All Quiet on the Western Front,1930,U,152 min,"Drama, War",8,"A German youth eagerly enters World War I, but his enthusiasm wanes as he gets a firsthand view of the horror.",91,Lewis Milestone,Lew Ayres,Louis Wolheim,John Wray,Arnold Lucy,57318,"3,270,000" +"https://m.media-amazon.com/images/M/MV5BMTEyMTQzMjQ0MTJeQTJeQWpwZ15BbWU4MDcyMjg4OTEx._V1_UY98_CR1,0,67,98_AL_.jpg",Bronenosets Potemkin,1925,,75 min,"Drama, History, Thriller",8,"In the midst of the Russian Revolution of 1905, the crew of the battleship Potemkin mutiny against the brutal, tyrannical regime of the vessel's officers. The resulting street demonstration in Odessa brings on a police massacre.",97,Sergei M. Eisenstein,Aleksandr Antonov,Vladimir Barskiy,Grigoriy Aleksandrov,Ivan Bobrov,53054,"50,970" +"https://m.media-amazon.com/images/M/MV5BMGUwZjliMTAtNzAxZi00MWNiLWE2NzgtZGUxMGQxZjhhNDRiXkEyXkFqcGdeQXVyNjU1NzU3MzE@._V1_UX67_CR0,0,67,98_AL_.jpg",Knives Out,2019,UA,130 min,"Comedy, Crime, Drama",7.9,"A detective investigates the death of a patriarch of an eccentric, combative family.",82,Rian Johnson,Daniel Craig,Chris Evans,Ana de Armas,Jamie Lee Curtis,454203,"165,359,751" +"https://m.media-amazon.com/images/M/MV5BNmI0MTliMTAtMmJhNC00NTJmLTllMzQtMDI3NzA1ODMyZWI1XkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR5,0,67,98_AL_.jpg",Dil Bechara,2020,UA,101 min,"Comedy, Drama, Romance",7.9,"The emotional journey of two hopelessly in love youngsters, a young girl, Kizie, suffering from cancer, and a boy, Manny, whom she meets at a support group.",,Mukesh Chhabra,Sushant Singh Rajput,Sanjana Sanghi,Sahil Vaid,Saswata Chatterjee,111478, +"https://m.media-amazon.com/images/M/MV5BYWZmOTY0MDAtMGRlMS00YjFlLWFkZTUtYmJhYWNlN2JjMmZkXkEyXkFqcGdeQXVyODAzODU1NDQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Manbiki kazoku,2018,A,121 min,"Crime, Drama",7.9,A family of small-time crooks take in a child they find outside in the cold.,93,Hirokazu Koreeda,Lily Franky,Sakura Andô,Kirin Kiki,Mayu Matsuoka,62754,"3,313,513" +"https://m.media-amazon.com/images/M/MV5BZGVmY2RjNDgtMTc3Yy00YmY0LTgwODItYzBjNWJhNTRlYjdkXkEyXkFqcGdeQXVyMjM4NTM5NDY@._V1_UX67_CR0,0,67,98_AL_.jpg",Marriage Story,2019,U,137 min,"Comedy, Drama, Romance",7.9,Noah Baumbach's incisive and compassionate look at a marriage breaking up and a family staying together.,94,Noah Baumbach,Adam Driver,Scarlett Johansson,Julia Greer,Azhy Robertson,246644,"2,000,000" +"https://m.media-amazon.com/images/M/MV5BNDk3NTEwNjc0MV5BMl5BanBnXkFtZTgwNzYxNTMwMzI@._V1_UX67_CR0,0,67,98_AL_.jpg",Call Me by Your Name,2017,UA,132 min,"Drama, Romance",7.9,"In 1980s Italy, romance blossoms between a seventeen-year-old student and the older man hired as his father's research assistant.",93,Luca Guadagnino,Armie Hammer,Timothée Chalamet,Michael Stuhlbarg,Amira Casar,212651,"18,095,701" +"https://m.media-amazon.com/images/M/MV5BMTQ4NTMzMTk4NV5BMl5BanBnXkFtZTgwNTU5MjE4MDI@._V1_UX67_CR0,0,67,98_AL_.jpg","I, Daniel Blake",2016,UA,100 min,Drama,7.9,"After having suffered a heart-attack, a 59-year-old carpenter must fight the bureaucratic forces of the system in order to receive Employment and Support Allowance.",78,Ken Loach,Laura Obiols,Dave Johns,Hayley Squires,Sharon Percy,53818,"258,168" +"https://m.media-amazon.com/images/M/MV5BZDQwOWQ2NmUtZThjZi00MGM0LTkzNDctMzcyMjcyOGI1OGRkXkEyXkFqcGdeQXVyMTA3MDk2NDg2._V1_UX67_CR0,0,67,98_AL_.jpg",Isle of Dogs,2018,U,101 min,"Animation, Adventure, Comedy",7.9,"Set in Japan, Isle of Dogs follows a boy's odyssey in search of his lost dog.",82,Wes Anderson,Bryan Cranston,Koyu Rankin,Edward Norton,Bob Balaban,139114,"32,015,231" +"https://m.media-amazon.com/images/M/MV5BMjI1MDQ2MDg5Ml5BMl5BanBnXkFtZTgwMjc2NjM5ODE@._V1_UX67_CR0,0,67,98_AL_.jpg",Hunt for the Wilderpeople,2016,UA,101 min,"Adventure, Comedy, Drama",7.9,A national manhunt is ordered for a rebellious kid and his foster uncle who go missing in the wild New Zealand bush.,81,Taika Waititi,Sam Neill,Julian Dennison,Rima Te Wiata,Rachel House,111483,"5,202,582" +"https://m.media-amazon.com/images/M/MV5BMjE5OTM0OTY5NF5BMl5BanBnXkFtZTgwMDcxOTQ3ODE@._V1_UX67_CR0,0,67,98_AL_.jpg",Captain Fantastic,2016,R,118 min,"Comedy, Drama",7.9,"In the forests of the Pacific Northwest, a father devoted to raising his six kids with a rigorous physical and intellectual education is forced to leave his paradise and enter the world, challenging his idea of what it means to be a parent.",72,Matt Ross,Viggo Mortensen,George MacKay,Samantha Isler,Annalise Basso,189400,"5,875,006" +"https://m.media-amazon.com/images/M/MV5BMjEzODA3MDcxMl5BMl5BanBnXkFtZTgwODgxNDk3NzE@._V1_UX67_CR0,0,67,98_AL_.jpg",Sing Street,2016,PG-13,106 min,"Comedy, Drama, Music",7.9,A boy growing up in Dublin during the 1980s escapes his strained family life by starting a band to impress the mysterious girl he likes.,79,John Carney,Ferdia Walsh-Peelo,Aidan Gillen,Maria Doyle Kennedy,Jack Reynor,85109,"3,237,118" +"https://m.media-amazon.com/images/M/MV5BMjMyNDkzMzI1OF5BMl5BanBnXkFtZTgwODcxODg5MjI@._V1_UX67_CR0,0,67,98_AL_.jpg",Thor: Ragnarok,2017,UA,130 min,"Action, Adventure, Comedy",7.9,"Imprisoned on the planet Sakaar, Thor must race against time to return to Asgard and stop Ragnarök, the destruction of his world, at the hands of the powerful and ruthless villain Hela.",74,Taika Waititi,Chris Hemsworth,Tom Hiddleston,Cate Blanchett,Mark Ruffalo,587775,"315,058,289" +"https://m.media-amazon.com/images/M/MV5BN2U1YzdhYWMtZWUzMi00OWI1LWFkM2ItNWVjM2YxMGQ2MmNhXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UY98_CR0,0,67,98_AL_.jpg",Nightcrawler,2014,A,117 min,"Crime, Drama, Thriller",7.9,"When Louis Bloom, a con man desperate for work, muscles into the world of L.A. crime journalism, he blurs the line between observer and participant to become the star of his own story.",76,Dan Gilroy,Jake Gyllenhaal,Rene Russo,Bill Paxton,Riz Ahmed,466134,"32,381,218" +"https://m.media-amazon.com/images/M/MV5BZjU0Yzk2MzEtMjAzYy00MzY0LTg2YmItM2RkNzdkY2ZhN2JkXkEyXkFqcGdeQXVyNDg4NjY5OTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Jojo Rabbit,2019,UA,108 min,"Comedy, Drama, War",7.9,A young boy in Hitler's army finds out his mother is hiding a Jewish girl in their home.,58,Taika Waititi,Roman Griffin Davis,Thomasin McKenzie,Scarlett Johansson,Taika Waititi,297918,"349,555" +"https://m.media-amazon.com/images/M/MV5BMTExMzU0ODcxNDheQTJeQWpwZ15BbWU4MDE1OTI4MzAy._V1_UX67_CR0,0,67,98_AL_.jpg",Arrival,2016,UA,116 min,"Drama, Sci-Fi",7.9,A linguist works with the military to communicate with alien lifeforms after twelve mysterious spacecrafts appear around the world.,81,Denis Villeneuve,Amy Adams,Jeremy Renner,Forest Whitaker,Michael Stuhlbarg,594181,"100,546,139" +"https://m.media-amazon.com/images/M/MV5BOTAzODEzNDAzMl5BMl5BanBnXkFtZTgwMDU1MTgzNzE@._V1_UX67_CR0,0,67,98_AL_.jpg",Star Wars: Episode VII - The Force Awakens,2015,U,138 min,"Action, Adventure, Sci-Fi",7.9,"As a new threat to the galaxy rises, Rey, a desert scavenger, and Finn, an ex-stormtrooper, must join Han Solo and Chewbacca to search for the one hope of restoring peace.",80,J.J. Abrams,Daisy Ridley,John Boyega,Oscar Isaac,Domhnall Gleeson,860823,"936,662,225" +"https://m.media-amazon.com/images/M/MV5BMjA5NzgxODE2NF5BMl5BanBnXkFtZTcwNTI1NTI0OQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Before Midnight,2013,R,109 min,"Drama, Romance",7.9,We meet Jesse and Celine nine years on in Greece. Almost two decades have passed since their first meeting on that train bound for Vienna.,94,Richard Linklater,Ethan Hawke,Julie Delpy,Seamus Davey-Fitzpatrick,Ariane Labed,141457,"8,114,627" +"https://m.media-amazon.com/images/M/MV5BZGIzNWYzN2YtMjcwYS00YjQ3LWI2NjMtOTNiYTUyYjE2MGNkXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",X-Men: Days of Future Past,2014,UA,132 min,"Action, Adventure, Sci-Fi",7.9,The X-Men send Wolverine to the past in a desperate effort to change history and prevent an event that results in doom for both humans and mutants.,75,Bryan Singer,Patrick Stewart,Ian McKellen,Hugh Jackman,James McAvoy,659763,"233,921,534" +"https://m.media-amazon.com/images/M/MV5BYTRkMDRiYmEtNGM4YS00NzM3LWI4MTMtYzk1MmVjMjM3ODg1XkEyXkFqcGdeQXVyMjgyNjk3MzE@._V1_UY98_CR1,0,67,98_AL_.jpg",Bir Zamanlar Anadolu'da,2011,,157 min,"Crime, Drama",7.9,A group of men set out in search of a dead body in the Anatolian steppes.,82,Nuri Bilge Ceylan,Muhammet Uzuner,Yilmaz Erdogan,Taner Birsel,Ahmet Mümtaz Taylan,41995,"138,730" +"https://m.media-amazon.com/images/M/MV5BMDUyZWU5N2UtOWFlMy00MTI0LTk0ZDYtMzFhNjljODBhZDA5XkEyXkFqcGdeQXVyNzA4ODc3ODU@._V1_UY98_CR1,0,67,98_AL_.jpg",The Artist,2011,U,100 min,"Comedy, Drama, Romance",7.9,An egomaniacal film star develops a relationship with a young dancer against the backdrop of Hollywood's silent era.,89,Michel Hazanavicius,Jean Dujardin,Bérénice Bejo,John Goodman,James Cromwell,230624,"44,671,682" +"https://m.media-amazon.com/images/M/MV5BMTc5OTk4MTM3M15BMl5BanBnXkFtZTgwODcxNjg3MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Edge of Tomorrow,2014,UA,113 min,"Action, Adventure, Sci-Fi",7.9,"A soldier fighting aliens gets to relive the same day over and over again, the day restarting every time he dies.",71,Doug Liman,Tom Cruise,Emily Blunt,Bill Paxton,Brendan Gleeson,600004,"100,206,256" +"https://m.media-amazon.com/images/M/MV5BMTk1NTc3NDc4MF5BMl5BanBnXkFtZTcwNjYwNDk0OA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Amour,2012,UA,127 min,"Drama, Romance",7.9,"Georges and Anne are an octogenarian couple. They are cultivated, retired music teachers. Their daughter, also a musician, lives in Britain with her family. One day, Anne has a stroke, and the couple's bond of love is severely tested.",94,Michael Haneke,Jean-Louis Trintignant,Emmanuelle Riva,Isabelle Huppert,Alexandre Tharaud,93090,"6,739,492" +"https://m.media-amazon.com/images/M/MV5BMGUyM2ZiZmUtMWY0OC00NTQ4LThkOGUtNjY2NjkzMDJiMWMwXkEyXkFqcGdeQXVyMzY0MTE3NzU@._V1_UX67_CR0,0,67,98_AL_.jpg",The Irishman,2019,R,209 min,"Biography, Crime, Drama",7.9,"An old man recalls his time painting houses for his friend, Jimmy Hoffa, through the 1950-70s.",94,Martin Scorsese,Robert De Niro,Al Pacino,Joe Pesci,Harvey Keitel,324720,"7,000,000" +"https://m.media-amazon.com/images/M/MV5BMTUyMjQ1MTY5OV5BMl5BanBnXkFtZTcwNzY5NjExMw@@._V1_UY98_CR1,0,67,98_AL_.jpg",Un prophète,2009,A,155 min,"Crime, Drama",7.9,A young Arab man is sent to a French prison.,90,Jacques Audiard,Tahar Rahim,Niels Arestrup,Adel Bencherif,Reda Kateb,93560,"2,084,637" +"https://m.media-amazon.com/images/M/MV5BMTgzODgyNTQwOV5BMl5BanBnXkFtZTcwNzc0NTc0Mg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Moon,2009,R,97 min,"Drama, Mystery, Sci-Fi",7.9,"Astronaut Sam Bell has a quintessentially personal encounter toward the end of his three-year stint on the Moon, where he, working alongside his computer, GERTY, sends back to Earth parcels of a resource that has helped diminish our planet's power problems.",67,Duncan Jones,Sam Rockwell,Kevin Spacey,Dominique McElligott,Rosie Shaw,335152,"5,009,677" +"https://m.media-amazon.com/images/M/MV5BOWM4NTY2NTMtZDZlZS00NTgyLWEzZDMtODE3ZGI1MzI3ZmU5XkEyXkFqcGdeQXVyNzI1NzMxNzM@._V1_UY98_CR1,0,67,98_AL_.jpg",Låt den rätte komma in,2008,R,114 min,"Crime, Drama, Fantasy",7.9,"Oskar, an overlooked and bullied boy, finds love and revenge through Eli, a beautiful but peculiar girl.",82,Tomas Alfredson,Kåre Hedebrant,Lina Leandersson,Per Ragnar,Henrik Dahl,205609,"2,122,065" +"https://m.media-amazon.com/images/M/MV5BYmQ5MzFjYWMtMTMwNC00ZGU5LWI3YTQtYzhkMGExNGFlY2Q0XkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UX67_CR0,0,67,98_AL_.jpg",District 9,2009,A,112 min,"Action, Sci-Fi, Thriller",7.9,Violence ensues after an extraterrestrial race forced to live in slum-like conditions on Earth finds a kindred spirit in a government agent exposed to their biotechnology.,81,Neill Blomkamp,Sharlto Copley,David James,Jason Cope,Nathalie Boltt,638202,"115,646,235" +"https://m.media-amazon.com/images/M/MV5BMTc5MjYyOTg4MF5BMl5BanBnXkFtZTcwNDc2MzQwMg@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Wrestler,2008,UA,109 min,"Drama, Sport",7.9,"A faded professional wrestler must retire, but finds his quest for a new life outside the ring a dispiriting struggle.",80,Darren Aronofsky,Mickey Rourke,Marisa Tomei,Evan Rachel Wood,Mark Margolis,289415,"26,236,603" +"https://m.media-amazon.com/images/M/MV5BYmIzYmY4MGItM2I4YS00OWZhLWFmMzQtYzI2MWY1MmM3NGU1XkEyXkFqcGdeQXVyNjQ2MjQ5NzM@._V1_UY98_CR0,0,67,98_AL_.jpg",Jab We Met,2007,U,138 min,"Comedy, Drama, Romance",7.9,A depressed wealthy businessman finds his life changing after he meets a spunky and care-free young woman.,,Imtiaz Ali,Shahid Kapoor,Kareena Kapoor,Tarun Arora,Dara Singh,47720,"410,800" +"https://m.media-amazon.com/images/M/MV5BMTYzNDc2MDc0N15BMl5BanBnXkFtZTgwOTcwMDQ5MTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Boyhood,2014,A,165 min,Drama,7.9,"The life of Mason, from early childhood to his arrival at college.",100,Richard Linklater,Ellar Coltrane,Patricia Arquette,Ethan Hawke,Elijah Smith,335533,"25,379,975" +"https://m.media-amazon.com/images/M/MV5BYzU1YWUzNjYtNmVhZi00ODUyLTg4M2ItMTFlMmU1Mzc5OTE5XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR1,0,67,98_AL_.jpg","4 luni, 3 saptamâni si 2 zile",2007,,113 min,Drama,7.9,A woman assists her friend in arranging an illegal abortion in 1980s Romania.,97,Cristian Mungiu,Anamaria Marinca,Laura Vasiliu,Vlad Ivanov,Alexandru Potocean,56625,"1,185,783" +"https://m.media-amazon.com/images/M/MV5BMjE5NDQ5OTE4Ml5BMl5BanBnXkFtZTcwOTE3NDIzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Star Trek,2009,UA,127 min,"Action, Adventure, Sci-Fi",7.9,The brash James T. Kirk tries to live up to his father's legacy with Mr. Spock keeping him in check as a vengeful Romulan from the future creates black holes to destroy the Federation one planet at a time.,82,J.J. Abrams,Chris Pine,Zachary Quinto,Simon Pegg,Leonard Nimoy,577336,"257,730,019" +"https://m.media-amazon.com/images/M/MV5BMTUwOGFiM2QtOWMxYS00MjU2LThmZDMtZDM2MWMzNzllNjdhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",In Bruges,2008,R,107 min,"Comedy, Crime, Drama",7.9,"Guilt-stricken after a job gone wrong, hitman Ray and his partner await orders from their ruthless boss in Bruges, Belgium, the last place in the world Ray wants to be.",67,Martin McDonagh,Colin Farrell,Brendan Gleeson,Ciarán Hinds,Elizabeth Berrington,390334,"7,757,130" +"https://m.media-amazon.com/images/M/MV5BMzQ5NGQwOTUtNWJlZi00ZTFiLWI0ZTEtOGU3MTA2ZGU5OWZiXkEyXkFqcGdeQXVyMTczNjQwOTY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Man from Earth,2007,,87 min,"Drama, Fantasy, Mystery",7.9,An impromptu goodbye party for Professor John Oldman becomes a mysterious interrogation after the retiring scholar reveals to his colleagues he has a longer and stranger past than they can imagine.,,Richard Schenkman,David Lee Smith,Tony Todd,John Billingsley,Ellen Crawford,174125, +"https://m.media-amazon.com/images/M/MV5BMjE0NzgwODI4M15BMl5BanBnXkFtZTcwNjg3OTA0MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Letters from Iwo Jima,2006,UA,141 min,"Action, Adventure, Drama",7.9,"The story of the battle of Iwo Jima between the United States and Imperial Japan during World War II, as told from the perspective of the Japanese who fought it.",89,Clint Eastwood,Ken Watanabe,Kazunari Ninomiya,Tsuyoshi Ihara,Ryô Kase,154011,"13,756,082" +"https://m.media-amazon.com/images/M/MV5BMjAzODUwMjM1M15BMl5BanBnXkFtZTcwNjU2MjU2MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Fall,2006,R,117 min,"Adventure, Drama, Fantasy",7.9,"In a hospital on the outskirts of 1920s Los Angeles, an injured stuntman begins to tell a fellow patient, a little girl with a broken arm, a fantastic story of five mythical heroes. Thanks to his fractured state of mind and her vivid imagination, the line between fiction and reality blurs as the tale advances.",64,Tarsem Singh,Lee Pace,Catinca Untaru,Justine Waddell,Kim Uylenbroek,107290,"2,280,348" +"https://m.media-amazon.com/images/M/MV5BNTg2OTY2ODg5OF5BMl5BanBnXkFtZTcwODM5MTYxOA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Life of Pi,2012,U,127 min,"Adventure, Drama, Fantasy",7.9,"A young man who survives a disaster at sea is hurtled into an epic journey of adventure and discovery. While cast away, he forms an unexpected connection with another survivor: a fearsome Bengal tiger.",79,Ang Lee,Suraj Sharma,Irrfan Khan,Adil Hussain,Tabu,580708,"124,987,023" +"https://m.media-amazon.com/images/M/MV5BOGUwYTU4NGEtNDM4MS00NDRjLTkwNmQtOTkwMWMyMjhmMjdlXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Fantastic Mr. Fox,2009,PG,87 min,"Animation, Adventure, Comedy",7.9,An urbane fox cannot resist returning to his farm raiding ways and then must help his community survive the farmers' retaliation.,83,Wes Anderson,George Clooney,Meryl Streep,Bill Murray,Jason Schwartzman,199696,"21,002,919" +"https://m.media-amazon.com/images/M/MV5BMTU3MDc2MjUwMV5BMl5BanBnXkFtZTcwNzQyMDAzMQ@@._V1_UY98_CR0,0,67,98_AL_.jpg",C.R.A.Z.Y.,2005,,129 min,"Comedy, Drama",7.9,"A young French-Canadian, growing up in the 1960s and 1970s, struggles to reconcile his emerging homosexuality with his father's conservative values and his own Catholic beliefs.",81,Jean-Marc Vallée,Michel Côté,Marc-André Grondin,Danielle Proulx,Émile Vallée,31476, +"https://m.media-amazon.com/images/M/MV5BOGY1M2MwOTEtZDIyNi00YjNlLWExYmEtNzBjOGI3N2QzNTg5XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Les choristes,2004,PG-13,97 min,"Drama, Music",7.9,The new teacher at a severely administered boys' boarding school works to positively affect the students' lives through music.,56,Christophe Barratier,Gérard Jugnot,François Berléand,Jean-Baptiste Maunier,Kad Merad,57430,"3,635,164" +"https://m.media-amazon.com/images/M/MV5BMTczNTI2ODUwOF5BMl5BanBnXkFtZTcwMTU0NTIzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Iron Man,2008,UA,126 min,"Action, Adventure, Sci-Fi",7.9,"After being held captive in an Afghan cave, billionaire engineer Tony Stark creates a unique weaponized suit of armor to fight evil.",79,Jon Favreau,Robert Downey Jr.,Gwyneth Paltrow,Terrence Howard,Jeff Bridges,939644,"318,412,101" +"https://m.media-amazon.com/images/M/MV5BMTg5Mjk2NDMtZTk0Ny00YTQ0LWIzYWEtMWI5MGQ0Mjg1OTNkXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Shaun of the Dead,2004,UA,99 min,"Comedy, Horror",7.9,A man's uneventful life is disrupted by the zombie apocalypse.,76,Edgar Wright,Simon Pegg,Nick Frost,Kate Ashfield,Lucy Davis,512249,"13,542,874" +"https://m.media-amazon.com/images/M/MV5BODBiNzYxNzYtMjkyMi00MjUyLWJkM2YtZjNkMDhhYmEwMTRiL2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",Gegen die Wand,2004,R,121 min,"Drama, Romance",7.9,"With the intention to break free from the strict familial restrictions, a suicidal young woman sets up a marriage of convenience with a forty-year-old addict, an act that will lead to an outburst of envious love.",78,Fatih Akin,Birol Ünel,Sibel Kekilli,Güven Kiraç,Zarah Jane McKenzie,51325, +"https://m.media-amazon.com/images/M/MV5BMTIzNDUyMjA4MV5BMl5BanBnXkFtZTYwNDc4ODM3._V1_UX67_CR0,0,67,98_AL_.jpg",Mystic River,2003,A,138 min,"Crime, Drama, Mystery",7.9,The lives of three men who were childhood friends are shattered when one of them has a family tragedy.,84,Clint Eastwood,Sean Penn,Tim Robbins,Kevin Bacon,Emmy Rossum,419420,"90,135,191" +"https://m.media-amazon.com/images/M/MV5BMTY4NTIwODg0N15BMl5BanBnXkFtZTcwOTc0MjEzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Harry Potter and the Prisoner of Azkaban,2004,U,142 min,"Adventure, Family, Fantasy",7.9,"Harry Potter, Ron and Hermione return to Hogwarts School of Witchcraft and Wizardry for their third year of study, where they delve into the mystery surrounding an escaped prisoner who poses a dangerous threat to the young wizard.",82,Alfonso Cuarón,Daniel Radcliffe,Emma Watson,Rupert Grint,Richard Griffiths,552493,"249,358,727" +"https://m.media-amazon.com/images/M/MV5BMWQ2MjQ0OTctMWE1OC00NjZjLTk3ZDAtNTk3NTZiYWMxYTlmXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Ying xiong,2002,PG-13,120 min,"Action, Adventure, History",7.9,"A defense officer, Nameless, was summoned by the King of Qin regarding his success of terminating three warriors.",85,Yimou Zhang,Jet Li,Tony Chiu-Wai Leung,Maggie Cheung,Ziyi Zhang,173999,"53,710,019" +"https://m.media-amazon.com/images/M/MV5BYmVmMGQ3NzEtM2FiNi00YThhLWFkZjYtM2Y0MjZjNGE4NzM0XkEyXkFqcGdeQXVyODc0OTEyNDU@._V1_UY98_CR1,0,67,98_AL_.jpg",Hable con ella,2002,R,112 min,"Drama, Mystery, Romance",7.9,Two men share an odd friendship while they care for two women who are both in deep comas.,86,Pedro Almodóvar,Rosario Flores,Javier Cámara,Darío Grandinetti,Leonor Watling,104691,"9,284,265" +"https://m.media-amazon.com/images/M/MV5BMGFkNjNmZWMtNDdiOS00ZWM3LWE1ZTMtZDU3MGQyMzIyNzZhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",No Man's Land,2001,R,98 min,"Comedy, Drama, War",7.9,"Bosnia and Herzegovina during 1993 at the time of the heaviest fighting between the two warring sides. Two soldiers from opposing sides in the conflict, Nino and Ciki, become trapped in no man's land, whilst a third soldier becomes a living booby trap.",84,Danis Tanovic,Branko Djuric,Rene Bitorajac,Filip Sovagovic,Georges Siatidis,44618,"1,059,830" +"https://m.media-amazon.com/images/M/MV5BMjYzYWM4YTItZjJiMC00OTM5LTg3NDgtOGQ2Njk2ZWNhN2QwXkEyXkFqcGdeQXVyMzM4MjM0Nzg@._V1_UY98_CR0,0,67,98_AL_.jpg",Cowboy Bebop: Tengoku no tobira,2001,U,115 min,"Animation, Action, Crime",7.9,"A terrorist explosion releases a deadly virus on the masses, and it's up the bounty-hunting Bebop crew to catch the cold-blooded culprit.",61,Shin'ichirô Watanabe,Tensai Okamura,Hiroyuki Okiura,Yoshiyuki Takei,Beau Billingslea,42897,"1,000,045" +"https://m.media-amazon.com/images/M/MV5BM2JkNGU0ZGMtZjVjNS00NjgyLWEyOWYtZmRmZGQyN2IxZjA2XkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Bourne Identity,2002,UA,119 min,"Action, Mystery, Thriller",7.9,"A man is picked up by a fishing boat, bullet-riddled and suffering from amnesia, before racing to elude assassins and attempting to regain his memory.",68,Doug Liman,Franka Potente,Matt Damon,Chris Cooper,Clive Owen,508771,"121,661,683" +"https://m.media-amazon.com/images/M/MV5BMTYxMDdlYjItMDVkYy00MjYzLThhMTYtYjIzZjZiODk1ZWRmXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Nueve reinas,2000,R,114 min,"Crime, Drama, Thriller",7.9,"Two con artists try to swindle a stamp collector by selling him a sheet of counterfeit rare stamps (the ""nine queens"").",80,Fabián Bielinsky,Ricardo Darín,Gastón Pauls,Graciela Tenenbaum,María Mercedes Villagra,49721,"1,221,261" +"https://m.media-amazon.com/images/M/MV5BMTQ5NTI2NTI4NF5BMl5BanBnXkFtZTcwNjk2NDA2OQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Children of Men,2006,A,109 min,"Adventure, Drama, Sci-Fi",7.9,"In 2027, in a chaotic world in which women have become somehow infertile, a former activist agrees to help transport a miraculously pregnant woman to a sanctuary at sea.",84,Alfonso Cuarón,Julianne Moore,Clive Owen,Chiwetel Ejiofor,Michael Caine,465113,"35,552,383" +"https://m.media-amazon.com/images/M/MV5BMzY1ZjMwMGEtYTY1ZS00ZDllLTk0ZmUtYzA3ZTA4NmYwNGNkXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Almost Famous,2000,A,122 min,"Adventure, Comedy, Drama",7.9,A high-school boy is given the chance to write a story for Rolling Stone Magazine about an up-and-coming rock band as he accompanies them on their concert tour.,90,Cameron Crowe,Billy Crudup,Patrick Fugit,Kate Hudson,Frances McDormand,252586,"32,534,850" +"https://m.media-amazon.com/images/M/MV5BYjBhZmViNTItMGExMy00MGNmLTkwZDItMDVlMTQ4ODVkYTMwXkEyXkFqcGdeQXVyNzM0MTUwNTY@._V1_UY98_CR1,0,67,98_AL_.jpg",Mulholland Dr.,2001,R,147 min,"Drama, Mystery, Thriller",7.9,"After a car wreck on the winding Mulholland Drive renders a woman amnesiac, she and a perky Hollywood-hopeful search for clues and answers across Los Angeles in a twisting venture beyond dreams and reality.",85,David Lynch,Naomi Watts,Laura Harring,Justin Theroux,Jeanne Bates,322031,"7,220,243" +"https://m.media-amazon.com/images/M/MV5BMWM5ZDcxMTYtNTEyNS00MDRkLWI3YTItNThmMGExMWY4NDIwXkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UX67_CR0,0,67,98_AL_.jpg",Toy Story 2,1999,U,92 min,"Animation, Adventure, Comedy",7.9,"When Woody is stolen by a toy collector, Buzz and his friends set out on a rescue mission to save Woody before he becomes a museum toy property with his roundup gang Jessie, Prospector, and Bullseye.",88,John Lasseter,Ash Brannon,Lee Unkrich,Tom Hanks,Tim Allen,527512,"245,852,179" +"https://m.media-amazon.com/images/M/MV5BY2E2YWYxY2QtZmJmZi00MjJlLWFiYWItZTk5Y2IyMWQ1ZThhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Boogie Nights,1997,R,155 min,Drama,7.9,"Back when sex was safe, pleasure was a business and business was booming, an idealistic porn producer aspires to elevate his craft to an art when he discovers a hot young talent.",85,Paul Thomas Anderson,Mark Wahlberg,Julianne Moore,Burt Reynolds,Luis Guzmán,239473,"26,400,640" +"https://m.media-amazon.com/images/M/MV5BZDg0MWNmNjktMGEwZC00ZDlmLWI1MTUtMDBmNjQzMWM2NjBjXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Mimi wo sumaseba,1995,U,111 min,"Animation, Drama, Family",7.9,"A love story between a girl who loves reading books, and a boy who has previously checked out all of the library books she chooses.",75,Yoshifumi Kondô,Yoko Honna,Issey Takahashi,Takashi Tachibana,Shigeru Muroi,51943, +"https://m.media-amazon.com/images/M/MV5BYTY4MTdjZDMtOTBiMC00MDEwLThhMjUtMjlhMjdlYTBmMzk3XkEyXkFqcGdeQXVyNjMwMjk0MTQ@._V1_UY98_CR1,0,67,98_AL_.jpg",Once Were Warriors,1994,A,102 min,"Crime, Drama",7.9,A family descended from Maori warriors is bedeviled by a violent father and the societal problems of being treated as outcasts.,77,Lee Tamahori,Rena Owen,Temuera Morrison,Mamaengaroa Kerr-Bell,Julian Arahanga,31590,"2,201,126" +"https://m.media-amazon.com/images/M/MV5BMDViNjFjOWMtZGZhMi00NmIyLThmYzktODA4MzJhZDZhMDc5XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UY98_CR1,0,67,98_AL_.jpg",True Romance,1993,R,119 min,"Crime, Drama, Romance",7.9,"In Detroit, a lonely pop culture geek marries a call girl, steals cocaine from her pimp, and tries to sell it in Hollywood. Meanwhile, the owners of the cocaine, the Mob, track them down in an attempt to reclaim it.",59,Tony Scott,Christian Slater,Patricia Arquette,Dennis Hopper,Val Kilmer,206918,"12,281,500" +"https://m.media-amazon.com/images/M/MV5BMjg5OGU4OGYtNTZmNy00MjQ1LWIzYzgtMTllMGY2NzlkNzYwXkEyXkFqcGdeQXVyMTI3ODAyMzE2._V1_UY98_CR2,0,67,98_AL_.jpg",Trois couleurs: Bleu,1993,U,94 min,"Drama, Music, Mystery",7.9,A woman struggles to find a way to live her life after the death of her husband and child.,85,Krzysztof Kieslowski,Juliette Binoche,Zbigniew Zamachowski,Julie Delpy,Benoît Régent,89836,"1,324,974" +"https://m.media-amazon.com/images/M/MV5BOTMyZGI4N2YtMzdkNi00MDZmLTg4NmItMzg0ODY5NjdhZjYwL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMzM4MjM0Nzg@._V1_UY98_CR1,0,67,98_AL_.jpg",Jûbê ninpûchô,1993,A,94 min,"Animation, Action, Adventure",7.9,A vagabond swordsman is aided by a beautiful ninja girl and a crafty spy in confronting a demonic clan of killers - with a ghost from his past as their leader - who are bent on overthrowing the Tokugawa Shogunate.,,Yoshiaki Kawajiri,Kôichi Yamadera,Emi Shinohara,Takeshi Aono,Osamu Saka,34529, +"https://m.media-amazon.com/images/M/MV5BN2I2N2Q1YmMtMzZkMC00Y2JjLWJmOWUtNjc2OTM2ZTk1MjUyXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Carlito's Way,1993,A,144 min,"Crime, Drama, Thriller",7.9,"A Puerto Rican former convict, just released from prison, pledges to stay away from drugs and violence despite the pressure around him and lead on to a better life outside of N.Y.C.",65,Brian De Palma,Al Pacino,Sean Penn,Penelope Ann Miller,John Leguizamo,201000,"36,948,322" +"https://m.media-amazon.com/images/M/MV5BNDUxN2I5NDUtZjdlMC00NjlmLTg0OTQtNjk0NjAxZjFmZTUzXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Edward Scissorhands,1990,U,105 min,"Drama, Fantasy, Romance",7.9,"An artificial man, who was incompletely constructed and has scissors for hands, leads a solitary life. Then one day, a suburban lady meets him and introduces him to her world.",74,Tim Burton,Johnny Depp,Winona Ryder,Dianne Wiest,Anthony Michael Hall,447368,"56,362,352" +"https://m.media-amazon.com/images/M/MV5BYjdkNzA4MzYtZThhOS00ZDgzLTlmMDItNmY1ZjI5YjkzZTE1XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",My Left Foot: The Story of Christy Brown,1989,U,103 min,"Biography, Drama",7.9,"Christy Brown, born with cerebral palsy, learns to paint and write with his only controllable limb - his left foot.",97,Jim Sheridan,Daniel Day-Lewis,Brenda Fricker,Alison Whelan,Kirsten Sheridan,68076,"14,743,391" +"https://m.media-amazon.com/images/M/MV5BYWY3N2EyOWYtNDVhZi00MWRkLTg2OTUtODNkNDQ5ZTIwMGJkXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Crimes and Misdemeanors,1989,PG-13,104 min,"Comedy, Drama",7.9,An ophthalmologist's mistress threatens to reveal their affair to his wife while a married documentary filmmaker is infatuated with another woman.,77,Woody Allen,Martin Landau,Woody Allen,Bill Bernstein,Claire Bloom,54670,"18,254,702" +"https://m.media-amazon.com/images/M/MV5BYTVjYWJmMWQtYWU4Ni00MWY3LWI2YmMtNTI5MDE0MWVmMmEzL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Untouchables,1987,A,119 min,"Crime, Drama, Thriller",7.9,"During the era of Prohibition in the United States, Federal Agent Eliot Ness sets out to stop ruthless Chicago gangster Al Capone and, because of rampant corruption, assembles a small, hand-picked team to help him.",79,Brian De Palma,Kevin Costner,Sean Connery,Robert De Niro,Charles Martin Smith,281842,"76,270,454" +"https://m.media-amazon.com/images/M/MV5BMWZiNWUwYjMtM2Y1Yi00MTZmLWEwYzctNjVmYWM0OTFlZDFhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Hannah and Her Sisters,1986,PG-13,107 min,"Comedy, Drama",7.9,"Between two Thanksgivings two years apart, Hannah's husband falls in love with her sister Lee, while her hypochondriac ex-husband rekindles his relationship with her sister Holly.",90,Woody Allen,Mia Farrow,Dianne Wiest,Michael Caine,Barbara Hershey,67176,"40,084,041" +"https://m.media-amazon.com/images/M/MV5BMzIwM2IwYTItYmM4Zi00OWMzLTkwNjAtYWRmYWNmY2RhMDk0XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Brazil,1985,U,132 min,"Drama, Sci-Fi",7.9,A bureaucrat in a dystopic society becomes an enemy of the state as he pursues the woman of his dreams.,84,Terry Gilliam,Jonathan Pryce,Kim Greist,Robert De Niro,Katherine Helmond,187567,"9,929,135" +"https://m.media-amazon.com/images/M/MV5BMTQ2MTIzMzg5Nl5BMl5BanBnXkFtZTgwOTc5NDI1MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",This Is Spinal Tap,1984,R,82 min,"Comedy, Music",7.9,"Spinal Tap, one of England's loudest bands, is chronicled by film director Marty DiBergi on what proves to be a fateful tour.",92,Rob Reiner,Rob Reiner,Michael McKean,Christopher Guest,Kimberly Stringer,128812,"188,751" +"https://m.media-amazon.com/images/M/MV5BOWMyNjE0MzEtMzVjNy00NjIxLTg0ZjMtMWJhNGI1YmVjYTczL2ltYWdlXkEyXkFqcGdeQXVyNzc5MjA3OA@@._V1_UX67_CR0,0,67,98_AL_.jpg",A Christmas Story,1983,U,93 min,"Comedy, Family",7.9,"In the 1940s, a young boy named Ralphie attempts to convince his parents, his teacher and Santa that a Red Ryder BB gun really is the perfect Christmas gift.",77,Bob Clark,Peter Billingsley,Melinda Dillon,Darren McGavin,Scott Schwartz,132947,"20,605,209" +"https://m.media-amazon.com/images/M/MV5BYTdlMDExOGUtN2I3MS00MjY5LWE1NTAtYzc3MzIxN2M3OWY1XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Blues Brothers,1980,U,133 min,"Action, Adventure, Comedy",7.9,"Jake Blues, just released from prison, puts together his old band to save the Catholic home where he and his brother Elwood were raised.",60,John Landis,John Belushi,Dan Aykroyd,Cab Calloway,John Candy,183182,"57,229,890" +"https://m.media-amazon.com/images/M/MV5BMzdmY2I3MmEtOGFiZi00MTg1LWIxY2QtNWUwM2NmNWNlY2U5XkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Manhattan,1979,R,96 min,"Comedy, Drama, Romance",7.9,The life of a divorced television writer dating a teenage girl is further complicated when he falls in love with his best friend's mistress.,83,Woody Allen,Woody Allen,Diane Keaton,Mariel Hemingway,Michael Murphy,131436,"45,700,000" +"https://m.media-amazon.com/images/M/MV5BZWE4N2JkNDUtZDU4MC00ZjNhLTlkMjYtOTNkMjZhMDAwMDMyXkEyXkFqcGdeQXVyMTA0MjU0Ng@@._V1_UX67_CR0,0,67,98_AL_.jpg",All That Jazz,1979,A,123 min,"Drama, Music, Musical",7.9,"Director/choreographer Bob Fosse tells his own life story as he details the sordid career of Joe Gideon, a womanizing, drug-using dancer.",72,Bob Fosse,Roy Scheider,Jessica Lange,Ann Reinking,Leland Palmer,28223,"37,823,676" +"https://m.media-amazon.com/images/M/MV5BMzc1YTIyNjctYzhlNy00ZmYzLWI2ZWQtMzk4MmQwYzA0NGQ1XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Dawn of the Dead,1978,A,127 min,"Action, Adventure, Horror",7.9,"Following an ever-growing epidemic of zombies that have risen from the dead, two Philadelphia S.W.A.T. team members, a traffic reporter, and his television executive girlfriend seek refuge in a secluded shopping mall.",71,George A. Romero,David Emge,Ken Foree,Scott H. Reiniger,Gaylen Ross,111512,"5,100,000" +"https://m.media-amazon.com/images/M/MV5BOWI2YWQxM2MtY2U4Yi00YjgzLTgwNzktN2ExNTgzNTIzMmUzXkEyXkFqcGdeQXVyMTAwMzUyOTc@._V1_UX67_CR0,0,67,98_AL_.jpg",All the President's Men,1976,U,138 min,"Biography, Drama, History",7.9,"""The Washington Post"" reporters Bob Woodward and Carl Bernstein uncover the details of the Watergate scandal that leads to President Richard Nixon's resignation.",84,Alan J. Pakula,Dustin Hoffman,Robert Redford,Jack Warden,Martin Balsam,103031,"70,600,000" +"https://m.media-amazon.com/images/M/MV5BN2IzM2I5NTQtMTIyMy00YWM2LWI1OGMtNjI0MWIyNDZkZGFkXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",La montaña sagrada,1973,R,114 min,"Adventure, Drama, Fantasy",7.9,"In a corrupt, greed-fueled world, a powerful alchemist leads a messianic character and seven materialistic figures to the Holy Mountain, where they hope to achieve enlightenment.",76,Alejandro Jodorowsky,Alejandro Jodorowsky,Horacio Salinas,Zamira Saunders,Juan Ferrara,37183,"61,001" +"https://m.media-amazon.com/images/M/MV5BZDI2OTg2NDQtMzc0MC00MjRiLWI1NzAtMjY2ZDMwMmUyNzBiXkEyXkFqcGdeQXVyNzM0MTUwNTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Amarcord,1973,R,123 min,"Comedy, Drama, Family",7.9,A series of comedic and nostalgic vignettes set in a 1930s Italian coastal town.,,Federico Fellini,Magali Noël,Bruno Zanin,Pupella Maggio,Armando Brancia,39897, +"https://m.media-amazon.com/images/M/MV5BYzQ5NjJiYWQtYjAzMC00NGU0LWFlMDYtNGFiYjFlMWI1NWM0XkEyXkFqcGdeQXVyODQ0OTczOQ@@._V1_UY98_CR4,0,67,98_AL_.jpg",Le charme discret de la bourgeoisie,1972,PG,102 min,Comedy,7.9,"A surreal, virtually plotless series of dreams centered around six middle-class people and their consistently interrupted attempts to have a meal together.",93,Luis Buñuel,Fernando Rey,Delphine Seyrig,Paul Frankeur,Bulle Ogier,38737,"198,809" +"https://m.media-amazon.com/images/M/MV5BMjRkY2VhYzMtZWQyNS00OTY2LWE5NTAtYjlhNmQyYzE5MmUxXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg","Aguirre, der Zorn Gottes",1972,,95 min,"Action, Adventure, Biography",7.9,"In the 16th century, the ruthless and insane Don Lope de Aguirre leads a Spanish expedition in search of El Dorado.",,Werner Herzog,Klaus Kinski,Ruy Guerra,Helena Rojo,Del Negro,52397, +"https://m.media-amazon.com/images/M/MV5BY2M5Mzg3NjctZTlkNy00MTU0LWFlYTQtY2E2Y2M4NjNiNzllXkEyXkFqcGdeQXVyMTAwMzUyOTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Harold and Maude,1971,PG,91 min,"Comedy, Drama, Romance",7.9,"Young, rich, and obsessed with death, Harold finds himself changed forever when he meets lively septuagenarian Maude at a funeral.",62,Hal Ashby,Ruth Gordon,Bud Cort,Vivian Pickles,Cyril Cusack,70826, +"https://m.media-amazon.com/images/M/MV5BMmNhZmJhMmYtNjlkMC00MjhjLTk1NzMtMTNlMzYzNjZlMjNiXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Patton,1970,U,172 min,"Biography, Drama, War",7.9,The World War II phase of the career of controversial American general George S. Patton.,91,Franklin J. Schaffner,George C. Scott,Karl Malden,Stephen Young,Michael Strong,93741,"61,700,000" +"https://m.media-amazon.com/images/M/MV5BNGUyYTZmOWItMDJhMi00N2IxLWIyNDMtNjUxM2ZiYmU5YWU1XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Wild Bunch,1969,A,145 min,"Action, Adventure, Western",7.9,"An aging group of outlaws look for one last big score as the ""traditional"" American West is disappearing around them.",97,Sam Peckinpah,William Holden,Ernest Borgnine,Robert Ryan,Edmond O'Brien,77401,"12,064,472" +"https://m.media-amazon.com/images/M/MV5BMzRmN2E1ZDUtZDc2ZC00ZmI3LTkwOTctNzE2ZDIzMGJiMTYzXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Night of the Living Dead,1968,,96 min,"Horror, Thriller",7.9,A ragtag group of Pennsylvanians barricade themselves in an old farmhouse to remain safe from a horde of flesh-eating ghouls that are ravaging the East Coast of the United States.,89,George A. Romero,Duane Jones,Judith O'Dea,Karl Hardman,Marilyn Eastman,116557,"89,029" +"https://m.media-amazon.com/images/M/MV5BMTkzNzYyMzA5N15BMl5BanBnXkFtZTgwODcwODQ3MDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Lion in Winter,1968,PG,134 min,"Biography, Drama, History",7.9,"1183 A.D.: King Henry II's three sons all want to inherit the throne, but he won't commit to a choice. They and his wife variously plot to force him.",,Anthony Harvey,Peter O'Toole,Katharine Hepburn,Anthony Hopkins,John Castle,29003,"22,276,975" +"https://m.media-amazon.com/images/M/MV5BZjZhZTZkNWItZGE1My00MTRkLWI2ZDktMWZkZTIxZWYxOTgzXkEyXkFqcGdeQXVyNDY2MTk1ODk@._V1_UX67_CR0,0,67,98_AL_.jpg",In the Heat of the Night,1967,U,110 min,"Crime, Drama, Mystery",7.9,A black police detective is asked to investigate a murder in a racially hostile southern town.,75,Norman Jewison,Sidney Poitier,Rod Steiger,Warren Oates,Lee Grant,67804,"24,379,978" +"https://m.media-amazon.com/images/M/MV5BMTA0Y2UyMDUtZGZiOS00ZmVkLTg3NmItODQyNTY1ZjU1MWE4L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Charade,1963,U,113 min,"Comedy, Mystery, Romance",7.9,Romance and suspense ensue in Paris as a woman is pursued by several men who want a fortune her murdered husband had stolen. Whom can she trust?,83,Stanley Donen,Cary Grant,Audrey Hepburn,Walter Matthau,James Coburn,68689,"13,474,588" +"https://m.media-amazon.com/images/M/MV5BOTY0ZTA1ZjUtN2MyNi00ZGRmLWExYmMtOTkyNzI1NGQ2Y2RlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Manchurian Candidate,1962,PG-13,126 min,"Drama, Thriller",7.9,A former prisoner of war is brainwashed as an unwitting assassin for an international Communist conspiracy.,94,John Frankenheimer,Frank Sinatra,Laurence Harvey,Janet Leigh,Angela Lansbury,71122, +"https://m.media-amazon.com/images/M/MV5BMjc4MTUxN2UtMmU1NC00MjQyLTk3YTYtZTQ0YzEzZDc0Njc0XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Spartacus,1960,A,197 min,"Adventure, Biography, Drama",7.9,The slave Spartacus leads a violent revolt against the decadent Roman Republic.,87,Stanley Kubrick,Kirk Douglas,Laurence Olivier,Jean Simmons,Charles Laughton,124339,"30,000,000" +"https://m.media-amazon.com/images/M/MV5BZDFlODBmZTYtMWU4MS00MzY4LWFmYzYtYzAzZmU1MGUzMDE5XkEyXkFqcGdeQXVyNTc1NDM0NDU@._V1_UY98_CR1,0,67,98_AL_.jpg",L'avventura,1960,U,144 min,"Drama, Mystery",7.9,"A woman disappears during a Mediterranean boating trip. During the search, her lover and her best friend become attracted to each other.",,Michelangelo Antonioni,Gabriele Ferzetti,Monica Vitti,Lea Massari,Dominique Blanchar,26542, +"https://m.media-amazon.com/images/M/MV5BMzY2NTA1MzUwN15BMl5BanBnXkFtZTgwOTc4NTU4MjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Hiroshima mon amour,1959,,90 min,"Drama, Romance",7.9,A French actress filming an anti-war film in Hiroshima has an affair with a married Japanese architect as they share their differing perspectives on war.,,Alain Resnais,Emmanuelle Riva,Eiji Okada,Stella Dassas,Pierre Barbaud,28421,"88,300" +"https://m.media-amazon.com/images/M/MV5BODcxYjUxZDgtYTQ5Zi00YmQ1LWJmZmItODZkOTYyNDhiNWM3XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Ten Commandments,1956,U,220 min,"Adventure, Drama",7.9,"Moses, an Egyptian Prince, learns of his true heritage as a Hebrew and his divine mission as the deliverer of his people.",,Cecil B. DeMille,Charlton Heston,Yul Brynner,Anne Baxter,Edward G. Robinson,63560,"93,740,000" +"https://m.media-amazon.com/images/M/MV5BYWQ3YWJiMDEtMDBhNS00YjY1LTkzNmEtY2U4Njg4MjQ3YWE3XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Searchers,1956,Passed,119 min,"Adventure, Drama, Western",7.9,An American Civil War veteran embarks on a journey to rescue his niece from the Comanches.,94,John Ford,John Wayne,Jeffrey Hunter,Vera Miles,Ward Bond,80316, +"https://m.media-amazon.com/images/M/MV5BMzE1MzdjNmUtOWU5MS00OTgwLWIzYjYtYTYwYTM0NDkyOTU1XkEyXkFqcGdeQXVyMTY5Nzc4MDY@._V1_UX67_CR0,0,67,98_AL_.jpg",East of Eden,1955,U,118 min,Drama,7.9,"Two brothers struggle to maintain their strict, Bible-toting father's favor.",72,Elia Kazan,James Dean,Raymond Massey,Julie Harris,Burl Ives,40313, +"https://m.media-amazon.com/images/M/MV5BOWIzZGUxZmItOThkMS00Y2QxLTg0MTYtMDdhMjRlNTNlYTI3L2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",High Noon,1952,PG,85 min,"Drama, Thriller, Western",7.9,"A town Marshal, despite the disagreements of his newlywed bride and the townspeople around him, must face a gang of deadly killers alone at high noon when the gang leader, an outlaw he sent up years ago, arrives on the noon train.",89,Fred Zinnemann,Gary Cooper,Grace Kelly,Thomas Mitchell,Lloyd Bridges,97222,"9,450,000" +"https://m.media-amazon.com/images/M/MV5BNzkwNjk4ODgtYjRmMi00ODdhLWIyNjUtNWQyMjg2N2E2NjlhXkEyXkFqcGdeQXVyNjE5MjUyOTM@._V1_UX67_CR0,0,67,98_AL_.jpg",Strangers on a Train,1951,A,101 min,"Crime, Film-Noir, Thriller",7.9,A psychopath forces a tennis star to comply with his theory that two strangers can get away with murder.,88,Alfred Hitchcock,Farley Granger,Robert Walker,Ruth Roman,Leo G. Carroll,123341,"7,630,000" +"https://m.media-amazon.com/images/M/MV5BMzg2YTFkNjgtM2ZkNS00MWVkLWIwMTEtZTgzMDM2MmUxNDE2XkEyXkFqcGdeQXVyMjI4MjA5MzA@._V1_UX67_CR0,0,67,98_AL_.jpg",Harvey,1950,Approved,104 min,"Comedy, Drama, Fantasy",7.9,"Due to his insistence that he has an invisible six foot-tall rabbit for a best friend, a whimsical middle-aged man is thought by his family to be insane - but he may be wiser than anyone knows.",,Henry Koster,James Stewart,Wallace Ford,William H. Lynn,Victoria Horne,52573, +"https://m.media-amazon.com/images/M/MV5BNjRkOGEwYTUtY2E5Yy00ODg4LTk2ZWItY2IyMzUxOGVhMTM1XkEyXkFqcGdeQXVyNDk0MDg4NDk@._V1_UX67_CR0,0,67,98_AL_.jpg",Miracle on 34th Street,1947,,96 min,"Comedy, Drama, Family",7.9,"When a nice old man who claims to be Santa Claus is institutionalized as insane, a young lawyer decides to defend him by arguing in court that he is the real thing.",88,George Seaton,Edmund Gwenn,Maureen O'Hara,John Payne,Gene Lockhart,41625,"2,650,000" +"https://m.media-amazon.com/images/M/MV5BYTc1NGViOTMtNjZhNS00OGY2LWI4MmItOWQwNTY4MDMzNWI3L2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Notorious,1946,U,102 min,"Drama, Film-Noir, Romance",7.9,A woman is asked to spy on a group of Nazi friends in South America. How far will she have to go to ingratiate herself with them?,100,Alfred Hitchcock,Cary Grant,Ingrid Bergman,Claude Rains,Louis Calhern,92306,"10,464,000" +"https://m.media-amazon.com/images/M/MV5BMjdiM2IyZmQtODJiYy00NDNkLTllYmItMmFjMDNiYTQyOGVkXkEyXkFqcGdeQXVyNDY2MTk1ODk@._V1_UX67_CR0,0,67,98_AL_.jpg",The Big Sleep,1946,Passed,114 min,"Crime, Film-Noir, Mystery",7.9,"Private detective Philip Marlowe is hired by a wealthy family. Before the complex case is over, he's seen murder, blackmail, and what might be love.",,Howard Hawks,Humphrey Bogart,Lauren Bacall,John Ridgely,Martha Vickers,78796,"6,540,000" +"https://m.media-amazon.com/images/M/MV5BMTk4NDQ0NjgyNF5BMl5BanBnXkFtZTgwMTE3NTkxMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Lost Weekend,1945,Passed,101 min,"Drama, Film-Noir",7.9,The desperate life of a chronic alcoholic is followed through a four-day drinking bout.,,Billy Wilder,Ray Milland,Jane Wyman,Phillip Terry,Howard Da Silva,33549,"9,460,000" +"https://m.media-amazon.com/images/M/MV5BYjQ4ZDA4NGMtMTkwYi00NThiLThhZDUtZTEzNTAxOWYyY2E4XkEyXkFqcGdeQXVyMjUxODE0MDY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Philadelphia Story,1940,,112 min,"Comedy, Romance",7.9,"When a rich woman's ex-husband and a tabloid-type reporter turn up just before her planned remarriage, she begins to learn the truth about herself.",96,George Cukor,Cary Grant,Katharine Hepburn,James Stewart,Ruth Hussey,63550, +"https://m.media-amazon.com/images/M/MV5BZDVmZTZkYjMtNmViZC00ODEzLTgwNDAtNmQ3OGQwOWY5YjFmXkEyXkFqcGdeQXVyNDY2MTk1ODk@._V1_UX67_CR0,0,67,98_AL_.jpg",His Girl Friday,1940,Passed,92 min,"Comedy, Drama, Romance",7.9,A newspaper editor uses every trick in the book to keep his ace reporter ex-wife from remarrying.,,Howard Hawks,Cary Grant,Rosalind Russell,Ralph Bellamy,Gene Lockhart,53667,"296,000" +"https://m.media-amazon.com/images/M/MV5BYjZjOTU3MTMtYTM5YS00YjZmLThmNmMtODcwOTM1NmRiMWM2XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Adventures of Robin Hood,1938,PG,102 min,"Action, Adventure, Romance",7.9,"When Prince John and the Norman Lords begin oppressing the Saxon masses in King Richard's absence, a Saxon lord fights back as the outlaw leader of a rebel guerrilla army.",97,Michael Curtiz,William Keighley,Errol Flynn,Olivia de Havilland,Basil Rathbone,47175,"3,981,000" +"https://m.media-amazon.com/images/M/MV5BYTJmNmQxNGItNDNlMC00MDU3LWFhNzMtZDQ2NDY0ZTVkNjE3XkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",A Night at the Opera,1935,Passed,96 min,"Comedy, Music, Musical",7.9,A sly business manager and two wacky friends of two opera singers help them achieve success while humiliating their stuffy and snobbish enemies.,,Sam Wood,Edmund Goulding,Groucho Marx,Chico Marx,Harpo Marx,30580,"2,537,520" +"https://m.media-amazon.com/images/M/MV5BZTY3YjYxZGQtMTM2YS00ZmYwLWFlM2QtOWFlMTU1NTAyZDQ2XkEyXkFqcGdeQXVyNTgyNTA4MjM@._V1_UX67_CR0,0,67,98_AL_.jpg",King Kong,1933,Passed,100 min,"Adventure, Horror, Sci-Fi",7.9,A film crew goes to a tropical island for an exotic location shoot and discovers a colossal ape who takes a shine to their female blonde star. He is then captured and brought back to New York City for public exhibition.,90,Merian C. Cooper,Ernest B. Schoedsack,Fay Wray,Robert Armstrong,Bruce Cabot,78991,"10,000,000" +"https://m.media-amazon.com/images/M/MV5BMjMyYjgyOTQtZDVlZS00NTQ0LWJiNDItNGRlZmM3Yzc0N2Y0XkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Freaks,1932,,64 min,"Drama, Horror",7.9,"A circus' beautiful trapeze artist agrees to marry the leader of side-show performers, but his deformed friends discover she is only marrying him for his inheritance.",80,Tod Browning,Wallace Ford,Leila Hyams,Olga Baclanova,Roscoe Ates,42117, +"https://m.media-amazon.com/images/M/MV5BMTAxYjEyMTctZTg3Ni00MGZmLWIxMmMtOGM2NTFiY2U3MmExXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Nosferatu,1922,,94 min,"Fantasy, Horror",7.9,Vampire Count Orlok expresses interest in a new residence and real estate agent Hutter's wife.,,F.W. Murnau,Max Schreck,Alexander Granach,Gustav von Wangenheim,Greta Schröder,88794, +"https://m.media-amazon.com/images/M/MV5BMTlkMmVmYjktYTc2NC00ZGZjLWEyOWUtMjc2MDMwMjQwOTA5XkEyXkFqcGdeQXVyNTI4MzE4MDU@._V1_UX67_CR0,0,67,98_AL_.jpg",The Gentlemen,2019,A,113 min,"Action, Comedy, Crime",7.8,"An American expat tries to sell off his highly profitable marijuana empire in London, triggering plots, schemes, bribery and blackmail in an attempt to steal his domain out from under him.",51,Guy Ritchie,Matthew McConaughey,Charlie Hunnam,Michelle Dockery,Jeremy Strong,237392, +"https://m.media-amazon.com/images/M/MV5BZmVhN2JlYjEtZWFkOS00YzE0LThiNDMtMGI3NDA1MTk2ZDQ2XkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR0,0,67,98_AL_.jpg",Raazi,2018,UA,138 min,"Action, Drama, Thriller",7.8,A Kashmiri woman agrees to marry a Pakistani army officer in order to spy on Pakistan during the Indo-Pakistan War of 1971.,,Meghna Gulzar,Alia Bhatt,Vicky Kaushal,Rajit Kapoor,Shishir Sharma,25344, +"https://m.media-amazon.com/images/M/MV5BNjcyYjg0M2ItMzMyZS00NmM1LTlhZDMtN2MxN2RhNWY4YTkwXkEyXkFqcGdeQXVyNjY1MTg4Mzc@._V1_UX67_CR0,0,67,98_AL_.jpg",Sound of Metal,2019,R,120 min,"Drama, Music",7.8,A heavy-metal drummer's life is thrown into freefall when he begins to lose his hearing.,81,Darius Marder,Riz Ahmed,Olivia Cooke,Paul Raci,Lauren Ridloff,27187, +"https://m.media-amazon.com/images/M/MV5BMTBkMjMyN2UtNzVjNi00Y2ZiLTk2MDYtN2Y0MjgzYjAxNzE4XkEyXkFqcGdeQXVyNjkxOTM4ODY@._V1_UY98_CR1,0,67,98_AL_.jpg",Forushande,2016,UA,124 min,Drama,7.8,"While both participating in a production of ""Death of a Salesman,"" a teacher's wife is assaulted in her new home, which leaves him determined to find the perpetrator over his wife's traumatized objections.",85,Asghar Farhadi,Shahab Hosseini,Taraneh Alidoosti,Babak Karimi,Mina Sadati,51240,"2,402,067" +"https://m.media-amazon.com/images/M/MV5BN2YyZjQ0NTEtNzU5MS00NGZkLTg0MTEtYzJmMWY3MWRhZjM2XkEyXkFqcGdeQXVyMDA4NzMyOA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Dunkirk,2017,UA,106 min,"Action, Drama, History",7.8,"Allied soldiers from Belgium, the British Empire, and France are surrounded by the German Army and evacuated during a fierce battle in World War II.",94,Christopher Nolan,Fionn Whitehead,Barry Keoghan,Mark Rylance,Tom Hardy,555092,"188,373,161" +"https://m.media-amazon.com/images/M/MV5BNDQzZmQ5MjItYmJlNy00MGI2LWExMDQtMjBiNjNmMzc5NTk1XkEyXkFqcGdeQXVyNjY1OTY4MTk@._V1_UY98_CR1,0,67,98_AL_.jpg",Perfetti sconosciuti,2016,,96 min,"Comedy, Drama",7.8,"Seven long-time friends get together for a dinner. When they decide to share with each other the content of every text message, email and phone call they receive, many secrets start to unveil and the equilibrium trembles.",,Paolo Genovese,Giuseppe Battiston,Anna Foglietta,Marco Giallini,Edoardo Leo,57168, +"https://m.media-amazon.com/images/M/MV5BMzg2Mzg4YmUtNDdkNy00NWY1LWE3NmEtZWMwNGNlMzE5YzU3XkEyXkFqcGdeQXVyMjA5MTIzMjQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Hidden Figures,2016,UA,127 min,"Biography, Drama, History",7.8,The story of a team of female African-American mathematicians who served a vital role in NASA during the early years of the U.S. space program.,74,Theodore Melfi,Taraji P. Henson,Octavia Spencer,Janelle Monáe,Kevin Costner,200876,"169,607,287" +"https://m.media-amazon.com/images/M/MV5BMmYwNWZlNzEtNjE4Zi00NzQ4LWI2YmUtOWZhNzZhZDYyNmVmXkEyXkFqcGdeQXVyNzYzODM3Mzg@._V1_UX67_CR0,0,67,98_AL_.jpg",Paddington 2,2017,U,103 min,"Adventure, Comedy, Family",7.8,"Paddington (Ben Whishaw), now happily settled with the Brown family and a popular member of the local community, picks up a series of odd jobs to buy the perfect present for his Aunt Lucy's (Imelda Staunton's) 100th birthday, only for the gift to be stolen.",88,Paul King,Ben Whishaw,Hugh Grant,Hugh Bonneville,Sally Hawkins,61594,"40,442,052" +"https://m.media-amazon.com/images/M/MV5BY2YxNjQxYWYtYzNkMi00YTgyLWIwZTMtYzgyYjZlZmYzZTA0XkEyXkFqcGdeQXVyMTA4NjE0NjEy._V1_UX67_CR0,0,67,98_AL_.jpg",Udta Punjab,2016,A,148 min,"Action, Crime, Drama",7.8,A story that revolves around drug abuse in the affluent north Indian State of Punjab and how the youth there have succumbed to it en-masse resulting in a socio-economic decline.,,Abhishek Chaubey,Shahid Kapoor,Alia Bhatt,Kareena Kapoor,Diljit Dosanjh,27175, +"https://m.media-amazon.com/images/M/MV5BMjA2Mzg2NDMzNl5BMl5BanBnXkFtZTgwMjcwODUzOTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Kubo and the Two Strings,2016,PG,101 min,"Animation, Action, Adventure",7.8,A young boy named Kubo must locate a magical suit of armour worn by his late father in order to defeat a vengeful spirit from the past.,84,Travis Knight,Charlize Theron,Art Parkinson,Matthew McConaughey,Ralph Fiennes,118035,"48,023,088" +"https://m.media-amazon.com/images/M/MV5BZjAzZjZiMmQtMDZmOC00NjVmLTkyNTItOGI2Mzg4NTBhZTA1XkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR0,0,67,98_AL_.jpg",M.S. Dhoni: The Untold Story,2016,U,184 min,"Biography, Drama, Sport",7.8,The untold story of Mahendra Singh Dhoni's journey from ticket collector to trophy collector - the world-cup-winning captain of the Indian Cricket Team.,,Neeraj Pandey,Sushant Singh Rajput,Kiara Advani,Anupam Kher,Disha Patani,40416,"1,782,795" +"https://m.media-amazon.com/images/M/MV5BMTYxMjk0NDg4Ml5BMl5BanBnXkFtZTgwODcyNjA5OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Manchester by the Sea,2016,UA,137 min,Drama,7.8,A depressed uncle is asked to take care of his teenage nephew after the boy's father dies.,96,Kenneth Lonergan,Casey Affleck,Michelle Williams,Kyle Chandler,Lucas Hedges,246963,"47,695,120" +"https://m.media-amazon.com/images/M/MV5BMjA0MzQzNjM1Ml5BMl5BanBnXkFtZTgwNjM5MjU5NjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Under sandet,2015,R,100 min,"Drama, History, War",7.8,"In post-World War II Denmark, a group of young German POWs are forced to clear a beach of thousands of land mines under the watch of a Danish Sergeant who slowly learns to appreciate their plight.",75,Martin Zandvliet,Roland Møller,Louis Hofmann,Joel Basman,Mikkel Boe Følsgaard,35539,"435,266" +"https://m.media-amazon.com/images/M/MV5BMjEwMzMxODIzOV5BMl5BanBnXkFtZTgwNzg3OTAzMDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Rogue One,2016,UA,133 min,"Action, Adventure, Sci-Fi",7.8,The daughter of an Imperial scientist joins the Rebel Alliance in a risky move to steal the plans for the Death Star.,65,Gareth Edwards,Felicity Jones,Diego Luna,Alan Tudyk,Donnie Yen,556608,"532,177,324" +"https://m.media-amazon.com/images/M/MV5BMjQ0MTgyNjAxMV5BMl5BanBnXkFtZTgwNjUzMDkyODE@._V1_UX67_CR0,0,67,98_AL_.jpg",Captain America: Civil War,2016,UA,147 min,"Action, Adventure, Sci-Fi",7.8,Political involvement in the Avengers' affairs causes a rift between Captain America and Iron Man.,75,Anthony Russo,Joe Russo,Chris Evans,Robert Downey Jr.,Scarlett Johansson,663649,"408,084,349" +"https://m.media-amazon.com/images/M/MV5BMjA1MTc1NTg5NV5BMl5BanBnXkFtZTgwOTM2MDEzNzE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Hateful Eight,2015,A,168 min,"Crime, Drama, Mystery",7.8,"In the dead of a Wyoming winter, a bounty hunter and his prisoner find shelter in a cabin currently inhabited by a collection of nefarious characters.",68,Quentin Tarantino,Samuel L. Jackson,Kurt Russell,Jennifer Jason Leigh,Walton Goggins,517059,"54,117,416" +"https://m.media-amazon.com/images/M/MV5BY2QzYTQyYzItMzAwYi00YjZlLThjNTUtNzMyMDdkYzJiNWM4XkEyXkFqcGdeQXVyMTkxNjUyNQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Little Women,2019,U,135 min,"Drama, Romance",7.8,"Jo March reflects back and forth on her life, telling the beloved story of the March sisters - four young women, each determined to live life on her own terms.",91,Greta Gerwig,Saoirse Ronan,Emma Watson,Florence Pugh,Eliza Scanlen,143250,"108,101,214" +"https://m.media-amazon.com/images/M/MV5BMTU3NjE2NjgwN15BMl5BanBnXkFtZTgwNDYzMzEwMzI@._V1_UX67_CR0,0,67,98_AL_.jpg",Loving Vincent,2017,UA,94 min,"Animation, Biography, Crime",7.8,"In a story depicted in oil painted animation, a young man comes to the last hometown of painter Vincent van Gogh (Robert Gulaczyk) to deliver the troubled artist's final letter and ends up investigating his final days there.",62,Dorota Kobiela,Hugh Welchman,Douglas Booth,Jerome Flynn,Robert Gulaczyk,50778,"6,735,118" +"https://m.media-amazon.com/images/M/MV5BMTU2OTcyOTE3MF5BMl5BanBnXkFtZTgwNTg5Mjc1MjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Pride,2014,R,119 min,"Biography, Comedy, Drama",7.8,U.K. gay activists work to help miners during their lengthy strike of the National Union of Mineworkers in the summer of 1984.,79,Matthew Warchus,Bill Nighy,Imelda Staunton,Dominic West,Paddy Considine,51841, +"https://m.media-amazon.com/images/M/MV5BMTcxNTgzNDg1N15BMl5BanBnXkFtZTgwNjg4MzI1MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Le passé,2013,PG-13,130 min,"Drama, Mystery",7.8,"An Iranian man deserts his French wife and her two children to return to his homeland. Meanwhile, his wife starts up a new relationship, a reality her husband confronts upon his wife's request for a divorce.",85,Asghar Farhadi,Bérénice Bejo,Tahar Rahim,Ali Mosaffa,Pauline Burlet,45002,"1,330,596" +"https://m.media-amazon.com/images/M/MV5BNjg5NmI3NmUtZDQ2Mi00ZTI0LWE0YzAtOGRhOWJmNDJkOWNkXkEyXkFqcGdeQXVyMzIzNDU1NTY@._V1_UY98_CR0,0,67,98_AL_.jpg",La grande bellezza,2013,,141 min,Drama,7.8,"Jep Gambardella has seduced his way through the lavish nightlife of Rome for decades, but after his 65th birthday and a shock from the past, Jep looks past the nightclubs and parties to find a timeless landscape of absurd, exquisite beauty.",86,Paolo Sorrentino,Toni Servillo,Carlo Verdone,Sabrina Ferilli,Carlo Buccirosso,81125,"2,852,400" +"https://m.media-amazon.com/images/M/MV5BMTUwMzc1NjIzMV5BMl5BanBnXkFtZTgwODUyMTIxMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Lunchbox,2013,U,104 min,"Drama, Romance",7.8,A mistaken delivery in Mumbai's famously efficient lunchbox delivery system connects a young housewife to an older man in the dusk of his life as they build a fantasy world together through notes in the lunchbox.,76,Ritesh Batra,Irrfan Khan,Nimrat Kaur,Nawazuddin Siddiqui,Lillete Dubey,50523,"4,231,500" +"https://m.media-amazon.com/images/M/MV5BYWNlODE1ZTEtOTQ5MS00N2QwLTllNjItZDQ2Y2UzMmU5YmI2XkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR3,0,67,98_AL_.jpg",Vicky Donor,2012,UA,126 min,"Comedy, Romance",7.8,"A man is brought in by an infertility doctor to supply him with his sperm, where he becomes the biggest sperm donor for his clinic.",,Shoojit Sircar,Ayushmann Khurrana,Yami Gautam,Annu Kapoor,Dolly Ahluwalia,39710,"169,209" +"https://m.media-amazon.com/images/M/MV5BMDliOTIzNmUtOTllOC00NDU3LWFiNjYtMGM0NDc1YTMxNjYxXkEyXkFqcGdeQXVyNTM3NzExMDQ@._V1_UY98_CR1,0,67,98_AL_.jpg",Big Hero 6,2014,U,102 min,"Animation, Action, Adventure",7.8,"A special bond develops between plus-sized inflatable robot Baymax and prodigy Hiro Hamada, who together team up with a group of friends to form a band of high-tech heroes.",74,Don Hall,Chris Williams,Ryan Potter,Scott Adsit,Jamie Chung,410983,"222,527,828" +"https://m.media-amazon.com/images/M/MV5BMTA1ODUzMDA3NzFeQTJeQWpwZ15BbWU3MDgxMTYxNTk@._V1_UX67_CR0,0,67,98_AL_.jpg",About Time,2013,R,123 min,"Comedy, Drama, Fantasy",7.8,"At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.",55,Richard Curtis,Domhnall Gleeson,Rachel McAdams,Bill Nighy,Lydia Wilson,303032,"15,322,921" +"https://m.media-amazon.com/images/M/MV5BMjQ5YWVmYmYtOWFiZC00NGMxLWEwODctZDM2MWI4YWViN2E5XkEyXkFqcGdeQXVyNjQ2MjQ5NzM@._V1_UY98_CR0,0,67,98_AL_.jpg",English Vinglish,2012,U,134 min,"Comedy, Drama, Family",7.8,"A quiet, sweet tempered housewife endures small slights from her well-educated husband and daughter every day because of her inability to speak and understand English.",,Gauri Shinde,Sridevi,Adil Hussain,Mehdi Nebbou,Priya Anand,33618,"1,670,773" +"https://m.media-amazon.com/images/M/MV5BMTU4NDg0MzkzNV5BMl5BanBnXkFtZTgwODA3Mzc1MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Kaze tachinu,2013,PG-13,126 min,"Animation, Biography, Drama",7.8,"A look at the life of Jiro Horikoshi, the man who designed Japanese fighter planes during World War II.",83,Hayao Miyazaki,Hideaki Anno,Hidetoshi Nishijima,Miori Takimoto,Masahiko Nishimura,73690,"5,209,580" +"https://m.media-amazon.com/images/M/MV5BMTYzMDM4NzkxOV5BMl5BanBnXkFtZTgwNzM1Mzg2NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Toy Story 4,2019,U,100 min,"Animation, Adventure, Comedy",7.8,"When a new toy called ""Forky"" joins Woody and the gang, a road trip alongside old and new friends reveals how big the world can be for a toy.",84,Josh Cooley,Tom Hanks,Tim Allen,Annie Potts,Tony Hale,203177,"434,038,008" +"https://m.media-amazon.com/images/M/MV5BMTQ4MzQ3NjA0N15BMl5BanBnXkFtZTgwODQyNjQ4MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",La migliore offerta,2013,R,131 min,"Crime, Drama, Mystery",7.8,A lonely art expert working for a mysterious and reclusive heiress finds not only her art worth examining.,49,Giuseppe Tornatore,Geoffrey Rush,Jim Sturgess,Sylvia Hoeks,Donald Sutherland,108399,"85,433" +"https://m.media-amazon.com/images/M/MV5BMzllMWI1ZDQtMmFhNS00NzJkLThmMTMtNzFmMmMyYjU3ZGVjXkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",Moonrise Kingdom,2012,A,94 min,"Comedy, Drama, Romance",7.8,"A pair of young lovers flee their New England town, which causes a local search party to fan out to find them.",84,Wes Anderson,Jared Gilman,Kara Hayward,Bruce Willis,Bill Murray,318789,"45,512,466" +"https://m.media-amazon.com/images/M/MV5BMzMwMTAwODczN15BMl5BanBnXkFtZTgwMDk2NDA4MTE@._V1_UX67_CR0,0,67,98_AL_.jpg",How to Train Your Dragon 2,2014,U,102 min,"Animation, Action, Adventure",7.8,"When Hiccup and Toothless discover an ice cave that is home to hundreds of new wild dragons and the mysterious Dragon Rider, the two friends find themselves at the center of a battle to protect the peace.",76,Dean DeBlois,Jay Baruchel,Cate Blanchett,Gerard Butler,Craig Ferguson,305611,"177,002,924" +"https://m.media-amazon.com/images/M/MV5BNDc4MThhN2EtZjMzNC00ZDJmLThiZTgtNThlY2UxZWMzNjdkXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",The Big Short,2015,A,130 min,"Biography, Comedy, Drama",7.8,In 2006-2007 a group of investors bet against the US mortgage market. In their research they discover how flawed and corrupt the market is.,81,Adam McKay,Christian Bale,Steve Carell,Ryan Gosling,Brad Pitt,362942,"70,259,870" +"https://m.media-amazon.com/images/M/MV5BYzM2OGQ2NzUtNzlmYi00ZDg4LWExODgtMDVmOTU2Yzg2N2U5XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR0,0,67,98_AL_.jpg",Kokuhaku,2010,,106 min,"Drama, Thriller",7.8,A psychological thriller of a grieving mother turned cold-blooded avenger with a twisty master plan to pay back those who were responsible for her daughter's death.,,Tetsuya Nakashima,Takako Matsu,Yoshino Kimura,Masaki Okada,Yukito Nishii,35713, +"https://m.media-amazon.com/images/M/MV5BZjRmNjc5MTYtYjc3My00ZjNiLTg4YjUtMTQ0ZTFkZmMxMDUzXkEyXkFqcGdeQXVyNDY5MTUyNjU@._V1_UY98_CR3,0,67,98_AL_.jpg",Ang-ma-reul bo-at-da,2010,,144 min,"Action, Crime, Drama",7.8,A secret agent exacts revenge on a serial killer through a series of captures and releases.,67,Jee-woon Kim,Lee Byung-Hun,Choi Min-sik,Jeon Gook-Hwan,Ho-jin Chun,111252,"128,392" +"https://m.media-amazon.com/images/M/MV5BMTczNDk4NTQ0OV5BMl5BanBnXkFtZTcwNDAxMDgxNw@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Girl with the Dragon Tattoo,2011,R,158 min,"Crime, Drama, Mystery",7.8,"Journalist Mikael Blomkvist is aided in his search for a woman who has been missing for forty years by Lisbeth Salander, a young computer hacker.",71,David Fincher,Daniel Craig,Rooney Mara,Christopher Plummer,Stellan Skarsgård,423010,"102,515,793" +"https://m.media-amazon.com/images/M/MV5BODhiZWRhMjctNDUyMS00NmUwLTgwYmItMjJhOWNkZWQ3ZTQxXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Captain Phillips,2013,UA,134 min,"Adventure, Biography, Crime",7.8,"The true story of Captain Richard Phillips and the 2009 hijacking by Somali pirates of the U.S.-flagged MV Maersk Alabama, the first American cargo ship to be hijacked in two hundred years.",82,Paul Greengrass,Tom Hanks,Barkhad Abdi,Barkhad Abdirahman,Catherine Keener,421244,"107,100,855" +"https://m.media-amazon.com/images/M/MV5BMTgzMTkxNjAxNV5BMl5BanBnXkFtZTgwMDU3MDE0MjE@._V1_UY98_CR0,0,67,98_AL_.jpg",Ajeossi,2010,R,119 min,"Action, Crime, Drama",7.8,A quiet pawnshop keeper with a violent past takes on a drug-and-organ trafficking ring in hope of saving the child who is his only friend.,,Jeong-beom Lee,Won Bin,Sae-ron Kim,Tae-hoon Kim,Hee-won Kim,62848,"6,460" +"https://m.media-amazon.com/images/M/MV5BMTA5MzkyMzIxNjJeQTJeQWpwZ15BbWU4MDU0MDk0OTUx._V1_UX67_CR0,0,67,98_AL_.jpg",Straight Outta Compton,2015,R,147 min,"Biography, Drama, History",7.8,"The rap group NWA emerges from the mean streets of Compton in Los Angeles, California, in the mid-1980s and revolutionizes Hip Hop culture with their music and tales about life in the hood.",72,F. Gary Gray,O'Shea Jackson Jr.,Corey Hawkins,Jason Mitchell,Neil Brown Jr.,179264,"161,197,785" +"https://m.media-amazon.com/images/M/MV5BMTQzMTg0NDA1M15BMl5BanBnXkFtZTgwODUzMTE0MjE@._V1_UY98_CR0,0,67,98_AL_.jpg",Madeo,2009,R,129 min,"Crime, Drama, Mystery",7.8,A mother desperately searches for the killer who framed her son for a girl's horrific murder.,79,Bong Joon Ho,Hye-ja Kim,Won Bin,Jin Goo,Je-mun Yun,52758,"547,292" +"https://m.media-amazon.com/images/M/MV5BY2ViOTU5MDQtZTRiZi00YjViLWFiY2ItOTRhNWYyN2ZiMzUyXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",Chugyeokja,2008,,125 min,"Action, Crime, Thriller",7.8,A disgraced ex-policeman who runs a small ring of prostitutes finds himself in a race against time when one of his women goes missing.,64,Hong-jin Na,Kim Yoon-seok,Jung-woo Ha,Yeong-hie Seo,Yoo-Jeong Kim,58468, +"https://m.media-amazon.com/images/M/MV5BMzU0NDY0NDEzNV5BMl5BanBnXkFtZTgwOTIxNDU1MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Hobbit: The Desolation of Smaug,2013,UA,161 min,"Adventure, Fantasy",7.8,"The dwarves, along with Bilbo Baggins and Gandalf the Grey, continue their quest to reclaim Erebor, their homeland, from Smaug. Bilbo Baggins is in possession of a mysterious and magical ring.",66,Peter Jackson,Ian McKellen,Martin Freeman,Richard Armitage,Ken Stott,601408,"258,366,855" +"https://m.media-amazon.com/images/M/MV5BMTQ2OTYyNzUxOF5BMl5BanBnXkFtZTcwMzUwMDY4Mg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Das weiße Band - Eine deutsche Kindergeschichte,2009,UA,144 min,"Drama, History, Mystery",7.8,"Strange events happen in a small village in the north of Germany during the years before World War I, which seem to be ritual punishment. Who is responsible?",82,Michael Haneke,Christian Friedel,Ernst Jacobi,Leonie Benesch,Ulrich Tukur,68715,"2,222,647" +"https://m.media-amazon.com/images/M/MV5BMTc2Mjc0MDg3MV5BMl5BanBnXkFtZTcwMjUzMDkxMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Män som hatar kvinnor,2009,R,152 min,"Crime, Drama, Mystery",7.8,A journalist is aided by a young female hacker in his search for the killer of a woman who has been dead for forty years.,76,Niels Arden Oplev,Michael Nyqvist,Noomi Rapace,Ewa Fröling,Lena Endre,208994,"10,095,170" +"https://m.media-amazon.com/images/M/MV5BYjYzOGE1MjUtODgyMy00ZDAxLTljYTgtNzk0Njg2YWQwMTZhXkEyXkFqcGdeQXVyMDM2NDM2MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Trial of the Chicago 7,2020,R,129 min,"Drama, History, Thriller",7.8,"The story of 7 people on trial stemming from various charges surrounding the uprising at the 1968 Democratic National Convention in Chicago, Illinois.",77,Aaron Sorkin,Eddie Redmayne,Alex Sharp,Sacha Baron Cohen,Jeremy Strong,89896, +"https://m.media-amazon.com/images/M/MV5BOTNjM2Y2ZjgtMDc5NS00MDQ1LTgyNGYtYzYwMTAyNWQwYTMyXkEyXkFqcGdeQXVyMjE4NzUxNDA@._V1_UX67_CR0,0,67,98_AL_.jpg",Druk,2020,,117 min,"Comedy, Drama",7.8,"Four friends, all high school teachers, test a theory that they will improve their lives by maintaining a constant level of alcohol in their blood.",81,Thomas Vinterberg,Mads Mikkelsen,Thomas Bo Larsen,Magnus Millang,Lars Ranthe,33931, +"https://m.media-amazon.com/images/M/MV5BMTM0ODk3MjM1MV5BMl5BanBnXkFtZTcwNzc1MDIwNA@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Fighter,2010,UA,116 min,"Biography, Drama, Sport",7.8,"Based on the story of Micky Ward, a fledgling boxer who tries to escape the shadow of his more famous but troubled older boxing brother and get his own shot at greatness.",79,David O. Russell,Mark Wahlberg,Christian Bale,Amy Adams,Melissa Leo,340584,"93,617,009" +"https://m.media-amazon.com/images/M/MV5BMTM4NzQ0OTYyOF5BMl5BanBnXkFtZTcwMDkyNjQyMg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Taken,2008,A,90 min,"Action, Thriller",7.8,"A retired CIA agent travels across Europe and relies on his old skills to save his estranged daughter, who has been kidnapped while on a trip to Paris.",51,Pierre Morel,Liam Neeson,Maggie Grace,Famke Janssen,Leland Orser,564791,"145,000,989" +"https://m.media-amazon.com/images/M/MV5BMTMzMTc3MjA5NF5BMl5BanBnXkFtZTcwOTk3MDE5MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Boy in the Striped Pyjamas,2008,PG-13,94 min,"Drama, History, War",7.8,"Through the innocent eyes of Bruno, the eight-year-old son of the commandant at a German concentration camp, a forbidden friendship with a Jewish boy on the other side of the camp fence has startling and unexpected consequences.",55,Mark Herman,Asa Butterfield,David Thewlis,Rupert Friend,Zac Mattoon O'Brien,190748,"9,030,581" +"https://m.media-amazon.com/images/M/MV5BYWUxZjJkMDktZmMxMS00Mzg3LTk4MDItN2IwODlmN2E0MTM0XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Once,2007,R,86 min,"Drama, Music, Romance",7.8,"A modern-day musical about a busker and an immigrant and their eventful week in Dublin, as they write, rehearse and record songs that tell their love story.",88,John Carney,Glen Hansard,Markéta Irglová,Hugh Walsh,Gerard Hendrick,110656,"9,439,923" +"https://m.media-amazon.com/images/M/MV5BMTcwNTE4MTUxMl5BMl5BanBnXkFtZTcwMDIyODM4OA@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Hobbit: An Unexpected Journey,2012,UA,169 min,"Adventure, Fantasy",7.8,"A reluctant Hobbit, Bilbo Baggins, sets out to the Lonely Mountain with a spirited group of dwarves to reclaim their mountain home, and the gold within it from the dragon Smaug.",58,Peter Jackson,Martin Freeman,Ian McKellen,Richard Armitage,Andy Serkis,757377,"303,003,568" +"https://m.media-amazon.com/images/M/MV5BMzgxMzYyNzAyOF5BMl5BanBnXkFtZTcwODY5MjY3MQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",Auf der anderen Seite,2007,,122 min,Drama,7.8,A Turkish man travels to Istanbul to find the daughter of his father's former girlfriend.,85,Fatih Akin,Baki Davrak,Nurgül Yesilçay,Tuncel Kurtiz,Nursel Köse,30827,"741,283" +"https://m.media-amazon.com/images/M/MV5BMGRiYjE0YzItMzk3Zi00ZmYwLWJjNDktYTAwYjIwMjIxYzM3XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Atonement,2007,R,123 min,"Drama, Mystery, Romance",7.8,Thirteen-year-old fledgling writer Briony Tallis irrevocably changes the course of several lives when she accuses her older sister's lover of a crime he did not commit.,85,Joe Wright,Keira Knightley,James McAvoy,Brenda Blethyn,Saoirse Ronan,251370,"50,927,067" +"https://m.media-amazon.com/images/M/MV5BZjY5ZjQyMjMtMmEwOC00Nzc2LTllYTItMmU2MzJjNTg1NjY0XkEyXkFqcGdeQXVyNjQ1MTMzMDQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Drive,2011,A,100 min,"Crime, Drama",7.8,A mysterious Hollywood stuntman and mechanic moonlights as a getaway driver and finds himself in trouble when he helps out his neighbor.,78,Nicolas Winding Refn,Ryan Gosling,Carey Mulligan,Bryan Cranston,Albert Brooks,571571,"35,061,555" +"https://m.media-amazon.com/images/M/MV5BMjFmZGI2YTEtYmJhMS00YTE5LWJjNjAtNDI5OGY5ZDhmNTRlXkEyXkFqcGdeQXVyODAwMTU1MTE@._V1_UX67_CR0,0,67,98_AL_.jpg",American Gangster,2007,A,157 min,"Biography, Crime, Drama",7.8,"An outcast New York City cop is charged with bringing down Harlem drug lord Frank Lucas, whose real life inspired this partly biographical film.",76,Ridley Scott,Denzel Washington,Russell Crowe,Chiwetel Ejiofor,Josh Brolin,392449,"130,164,645" +"https://m.media-amazon.com/images/M/MV5BMTYwOTEwNjAzMl5BMl5BanBnXkFtZTcwODc5MTUwMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Avatar,2009,UA,162 min,"Action, Adventure, Fantasy",7.8,A paraplegic Marine dispatched to the moon Pandora on a unique mission becomes torn between following his orders and protecting the world he feels is his home.,83,James Cameron,Sam Worthington,Zoe Saldana,Sigourney Weaver,Michelle Rodriguez,1118998,"760,507,625" +"https://m.media-amazon.com/images/M/MV5BMTg4ODkzMDQ3Nl5BMl5BanBnXkFtZTgwNTEwMTkxMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Mr. Nobody,2009,R,141 min,"Drama, Fantasy, Romance",7.8,"A boy stands on a station platform as a train is about to leave. Should he go with his mother or stay with his father? Infinite possibilities arise from this decision. As long as he doesn't choose, anything is possible.",63,Jaco Van Dormael,Jared Leto,Sarah Polley,Diane Kruger,Linh Dan Pham,216421,"3,600" +"https://m.media-amazon.com/images/M/MV5BMzhmNGMzMDMtZDM0Yi00MmVmLWExYjAtZDhjZjcxZDM0MzJhXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Apocalypto,2006,A,139 min,"Action, Adventure, Drama",7.8,"As the Mayan kingdom faces its decline, a young man is taken on a perilous journey to a world ruled by fear and oppression.",68,Mel Gibson,Gerardo Taracena,Raoul Max Trujillo,Dalia Hernández,Rudy Youngblood,291018,"50,866,635" +"https://m.media-amazon.com/images/M/MV5BMTgzNTgzODU0NV5BMl5BanBnXkFtZTcwMjEyMjMzMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Little Miss Sunshine,2006,UA,101 min,"Comedy, Drama",7.8,A family determined to get their young daughter into the finals of a beauty pageant take a cross-country trip in their VW bus.,80,Jonathan Dayton,Valerie Faris,Steve Carell,Toni Collette,Greg Kinnear,439856,"59,891,098" +"https://m.media-amazon.com/images/M/MV5BMzg4MDJhMDMtYmJiMS00ZDZmLThmZWUtYTMwZDM1YTc5MWE2XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Hot Fuzz,2007,UA,121 min,"Action, Comedy, Mystery",7.8,A skilled London police officer is transferred to a small town with a dark secret.,81,Edgar Wright,Simon Pegg,Nick Frost,Martin Freeman,Bill Nighy,463466,"23,637,265" +"https://m.media-amazon.com/images/M/MV5BNjQ0NTY2ODY2M15BMl5BanBnXkFtZTgwMjE4MzkxMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Curious Case of Benjamin Button,2008,UA,166 min,"Drama, Fantasy, Romance",7.8,"Tells the story of Benjamin Button, a man who starts aging backwards with consequences.",70,David Fincher,Brad Pitt,Cate Blanchett,Tilda Swinton,Julia Ormond,589160,"127,509,326" +"https://m.media-amazon.com/images/M/MV5BY2VlOTc4ZjctYjVlMS00NDYwLWEwZjctZmYzZmVkNGU5NjNjXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UY98_CR2,0,67,98_AL_.jpg",Veer-Zaara,2004,U,192 min,"Drama, Family, Musical",7.8,"Veer-Zaara is a saga of love, separation, courage and sacrifice. A love story that is an inspiration and will remain a legend forever.",67,Yash Chopra,Shah Rukh Khan,Preity Zinta,Rani Mukerji,Kirron Kher,49050,"2,921,738" +"https://m.media-amazon.com/images/M/MV5BMTU4NTc5NjM5M15BMl5BanBnXkFtZTgwODEyMTE0MDE@._V1_UY98_CR1,0,67,98_AL_.jpg",Adams æbler,2005,R,94 min,"Comedy, Crime, Drama",7.8,A neo-nazi sentenced to community service at a church clashes with the blindly devotional priest.,51,Anders Thomas Jensen,Ulrich Thomsen,Mads Mikkelsen,Nicolas Bro,Paprika Steen,45717,"1,305" +"https://m.media-amazon.com/images/M/MV5BMTA1NDQ3NTcyOTNeQTJeQWpwZ15BbWU3MDA0MzA4MzE@._V1_UX67_CR0,0,67,98_AL_.jpg",Pride & Prejudice,2005,PG,129 min,"Drama, Romance",7.8,"Sparks fly when spirited Elizabeth Bennet meets single, rich, and proud Mr. Darcy. But Mr. Darcy reluctantly finds himself falling in love with a woman beneath his class. Can each overcome their own pride and prejudice?",82,Joe Wright,Keira Knightley,Matthew Macfadyen,Brenda Blethyn,Donald Sutherland,258924,"38,405,088" +"https://m.media-amazon.com/images/M/MV5BMjE1MjA0MDA3MV5BMl5BanBnXkFtZTcwOTU0MjMzMQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",The World's Fastest Indian,2005,U,127 min,"Biography, Drama, Sport",7.8,"The story of New Zealander Burt Munro, who spent years rebuilding a 1920 Indian motorcycle, which helped him set the land speed world record at Utah's Bonneville Salt Flats in 1967.",68,Roger Donaldson,Anthony Hopkins,Diane Ladd,Iain Rea,Tessa Mitchell,51980,"5,128,124" +"https://m.media-amazon.com/images/M/MV5BNWY2ODRkZDYtMjllYi00Y2EyLWFhYjktMTQ5OGNkY2ViYmY2XkEyXkFqcGdeQXVyNjUxMDQ0MTg@._V1_UY98_CR1,0,67,98_AL_.jpg",Tôkyô goddofâzâzu,2003,UA,90 min,"Animation, Adventure, Comedy",7.8,"On Christmas Eve, three homeless people living on the streets of Tokyo discover a newborn baby among the trash and set out to find its parents.",73,Satoshi Kon,Shôgo Furuya,Tôru Emori,Yoshiaki Umegaki,Aya Okamoto,31658,"128,985" +"https://m.media-amazon.com/images/M/MV5BOWE2MDAwZjEtODEyOS00ZjYyLTgzNDUtYmNiY2VmNWRiMTQxXkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UX67_CR0,0,67,98_AL_.jpg",Serenity,2005,PG-13,119 min,"Action, Adventure, Sci-Fi",7.8,The crew of the ship Serenity try to evade an assassin sent to recapture one of their members who is telepathic.,74,Joss Whedon,Nathan Fillion,Gina Torres,Chiwetel Ejiofor,Alan Tudyk,283310,"25,514,517" +"https://m.media-amazon.com/images/M/MV5BMjIyOTU3MjUxOF5BMl5BanBnXkFtZTcwMTQ0NjYzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Walk the Line,2005,PG-13,136 min,"Biography, Drama, Music",7.8,"A chronicle of country music legend Johnny Cash's life, from his early days on an Arkansas cotton farm to his rise to fame with Sun Records in Memphis, where he recorded alongside Elvis Presley, Jerry Lee Lewis, and Carl Perkins.",72,James Mangold,Joaquin Phoenix,Reese Witherspoon,Ginnifer Goodwin,Robert Patrick,234207,"119,519,402" +"https://m.media-amazon.com/images/M/MV5BMzYwODUxNjkyMF5BMl5BanBnXkFtZTcwODUzNjQyMQ@@._V1_UY98_CR0,0,67,98_AL_.jpg",Ondskan,2003,,113 min,Drama,7.8,"A teenage boy expelled from school for fighting arrives at a boarding school where the systematic bullying of younger students is encouraged as a means to maintain discipline, and decides to fight back.",61,Mikael Håfström,Andreas Wilson,Henrik Lundström,Gustaf Skarsgård,Linda Zilliacus,35682,"15,280" +"https://m.media-amazon.com/images/M/MV5BMTk3OTM5Njg5M15BMl5BanBnXkFtZTYwMzA0ODI3._V1_UX67_CR0,0,67,98_AL_.jpg",The Notebook,2004,A,123 min,"Drama, Romance",7.8,"A poor yet passionate young man falls in love with a rich young woman, giving her a sense of freedom, but they are soon separated because of their social differences.",53,Nick Cassavetes,Gena Rowlands,James Garner,Rachel McAdams,Ryan Gosling,520284,"81,001,787" +"https://m.media-amazon.com/images/M/MV5BOTNmZTgyMzAtMTUwZC00NjAwLTk4MjktODllYTY5YTUwN2YwXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Diarios de motocicleta,2004,U,126 min,"Adventure, Biography, Drama",7.8,The dramatization of a motorcycle road trip Che Guevara went on in his youth that showed him his life's calling.,75,Walter Salles,Gael García Bernal,Rodrigo De la Serna,Mía Maestro,Mercedes Morán,96703,"16,756,372" +"https://m.media-amazon.com/images/M/MV5BM2YwNTQwM2ItZTA2Ni00NGY1LThjY2QtNzgyZTBhMTM0MWI4XkEyXkFqcGdeQXVyNzQxNDExNTU@._V1_UY98_CR0,0,67,98_AL_.jpg",Lilja 4-ever,2002,R,109 min,"Crime, Drama",7.8,"Sixteen-year-old Lilja and her only friend, the young boy Volodja, live in Russia, fantasizing about a better life. One day, Lilja falls in love with Andrej, who is going to Sweden, and invites Lilja to come along and start a new life.",82,Lukas Moodysson,Oksana Akinshina,Artyom Bogucharskiy,Pavel Ponomaryov,Lyubov Agapova,42673,"181,655" +"https://m.media-amazon.com/images/M/MV5BNGRiOTIwNTAtYWM2Yy00Yzc4LTkyZjEtNTM3NTIyZTNhMzg1XkEyXkFqcGdeQXVyODIyOTEyMzY@._V1_UY98_CR1,0,67,98_AL_.jpg",Les triplettes de Belleville,2003,PG-13,80 min,"Animation, Comedy, Drama",7.8,"When her grandson is kidnapped during the Tour de France, Madame Souza and her beloved pooch Bruno team up with the Belleville Sisters--an aged song-and-dance team from the days of Fred Astaire--to rescue him.",91,Sylvain Chomet,Michèle Caucheteux,Jean-Claude Donda,Michel Robin,Monica Viegas,50622,"7,002,255" +"https://m.media-amazon.com/images/M/MV5BMTI1NDA4NTMyN15BMl5BanBnXkFtZTYwNTA2ODc5._V1_UY98_CR1,0,67,98_AL_.jpg",Gongdong gyeongbi guyeok JSA,2000,,110 min,"Action, Drama, Thriller",7.8,"After a shooting incident at the North/South Korean border/DMZ leaves 2 North Korean soldiers dead, a neutral Swiss/Swedish team investigates, what actually happened.",58,Chan-wook Park,Lee Yeong-ae,Lee Byung-Hun,Kang-ho Song,Kim Tae-Woo,26518, +"https://m.media-amazon.com/images/M/MV5BMDM0ZWRjZDgtZWI0MS00ZTIzLTg4MWYtZjU5MDEyMDU0ODBjXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Count of Monte Cristo,2002,PG-13,131 min,"Action, Adventure, Drama",7.8,"A young man, falsely imprisoned by his jealous ""friend"", escapes and uses a hidden treasure to exact his revenge.",61,Kevin Reynolds,Jim Caviezel,Guy Pearce,Christopher Adamson,JB Blanc,129022,"54,234,062" +"https://m.media-amazon.com/images/M/MV5BMWM0ZjY5ZjctODNkZi00Nzk0LWE1ODUtNGM4ZDUyMzUwMGYwXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Waking Life,2001,R,99 min,"Animation, Drama, Fantasy",7.8,A man shuffles through a dream meeting various people and discussing the meanings and purposes of the universe.,83,Richard Linklater,Ethan Hawke,Trevor Jack Brooks,Lorelei Linklater,Wiley Wiggins,60684,"2,892,011" +"https://m.media-amazon.com/images/M/MV5BYThkMzgxNjEtMzFiOC00MTI0LWI5MDItNDVmYjA4NzY5MDQ2L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Remember the Titans,2000,U,113 min,"Biography, Drama, Sport",7.8,The true story of a newly appointed African-American coach and his high school team on their first season as a racially integrated unit.,48,Boaz Yakin,Denzel Washington,Will Patton,Wood Harris,Ryan Hurst,198089,"115,654,751" +"https://m.media-amazon.com/images/M/MV5BNDdhMzMxOTctNDMyNS00NTZmLTljNWEtNTc4MDBmZTYxY2NmXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Wo hu cang long,2000,UA,120 min,"Action, Adventure, Fantasy",7.8,A young Chinese warrior steals a sword from a famed swordsman and then escapes into a world of romantic adventure with a mysterious man in the frontier of the nation.,94,Ang Lee,Yun-Fat Chow,Michelle Yeoh,Ziyi Zhang,Chen Chang,253228,"128,078,872" +"https://m.media-amazon.com/images/M/MV5BZTk2ZTMzMmUtZjUyNi00YzMyLWE3NTAtNDNjNzU3MGQ1YTFjXkEyXkFqcGdeQXVyMTA0MjU0Ng@@._V1_UY98_CR3,0,67,98_AL_.jpg",Todo sobre mi madre,1999,R,101 min,Drama,7.8,"Young Esteban wants to become a writer and also to discover the identity of his second mother, a trans woman, carefully concealed by his mother Manuela.",87,Pedro Almodóvar,Cecilia Roth,Marisa Paredes,Candela Peña,Antonia San Juan,89058,"8,264,530" +"https://m.media-amazon.com/images/M/MV5BN2Y5ZTU4YjctMDRmMC00MTg4LWE1M2MtMjk4MzVmOTE4YjkzXkEyXkFqcGdeQXVyNTc1NTQxODI@._V1_UX67_CR0,0,67,98_AL_.jpg",Cast Away,2000,UA,143 min,"Adventure, Drama, Romance",7.8,A FedEx executive undergoes a physical and emotional transformation after crash landing on a deserted island.,73,Robert Zemeckis,Tom Hanks,Helen Hunt,Paul Sanchez,Lari White,524235,"233,632,142" +"https://m.media-amazon.com/images/M/MV5BYzVmMTdjOTYtOTJkYS00ZTg2LWExNTgtNzA1N2Y0MDgwYWFhXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Boondock Saints,1999,R,108 min,"Action, Crime, Thriller",7.8,Two Irish Catholic brothers become vigilantes and wipe out Boston's criminal underworld in the name of God.,44,Troy Duffy,Willem Dafoe,Sean Patrick Flanery,Norman Reedus,David Della Rocco,227143,"25,812" +"https://m.media-amazon.com/images/M/MV5BODg0YjAzNDQtOGFkMi00Yzk2LTg1NzYtYTNjY2UwZTM2ZDdkL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UY98_CR0,0,67,98_AL_.jpg",The Insider,1999,UA,157 min,"Biography, Drama, Thriller",7.8,A research chemist comes under personal and professional attack when he decides to appear in a 60 Minutes exposé on Big Tobacco.,84,Michael Mann,Russell Crowe,Al Pacino,Christopher Plummer,Diane Venora,159886,"28,965,197" +"https://m.media-amazon.com/images/M/MV5BZmIzMjE0M2YtNzliZi00YWNmLTgyNDItZDhjNWVhY2Q2ODk0XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",October Sky,1999,PG,108 min,"Biography, Drama, Family",7.8,"The true story of Homer Hickam, a coal miner's son who was inspired by the first Sputnik launch to take up rocketry against his father's wishes.",71,Joe Johnston,Jake Gyllenhaal,Chris Cooper,Laura Dern,Chris Owen,82855,"32,481,825" +"https://m.media-amazon.com/images/M/MV5BOGZhM2FhNTItODAzNi00YjA0LWEyN2UtNjJlYWQzYzU1MDg5L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Shrek,2001,U,90 min,"Animation, Adventure, Comedy",7.8,"A mean lord exiles fairytale creatures to the swamp of a grumpy ogre, who must go on a quest and rescue a princess for the lord in order to get his land back.",84,Andrew Adamson,Vicky Jenson,Mike Myers,Eddie Murphy,Cameron Diaz,613941,"267,665,011" +"https://m.media-amazon.com/images/M/MV5BMDdmZGU3NDQtY2E5My00ZTliLWIzOTUtMTY4ZGI1YjdiNjk3XkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Titanic,1997,UA,194 min,"Drama, Romance",7.8,"A seventeen-year-old aristocrat falls in love with a kind but poor artist aboard the luxurious, ill-fated R.M.S. Titanic.",75,James Cameron,Leonardo DiCaprio,Kate Winslet,Billy Zane,Kathy Bates,1046089,"659,325,379" +"https://m.media-amazon.com/images/M/MV5BODk4MzE5NjgtN2ZhOS00YTdkLTg0YzktMmE1MTkxZmMyMWI2L2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Hana-bi,1997,,103 min,"Crime, Drama, Romance",7.8,"Nishi leaves the police in the face of harrowing personal and professional difficulties. Spiraling into depression, he makes questionable decisions.",,Takeshi Kitano,Takeshi Kitano,Kayoko Kishimoto,Ren Osugi,Susumu Terajima,27712,"233,986" +"https://m.media-amazon.com/images/M/MV5BODI3ZTc5NjktOGMyOC00NjYzLTgwZDYtYmQ4NDc1MmJjMjRlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Gattaca,1997,UA,106 min,"Drama, Sci-Fi, Thriller",7.8,A genetically inferior man assumes the identity of a superior one in order to pursue his lifelong dream of space travel.,64,Andrew Niccol,Ethan Hawke,Uma Thurman,Jude Law,Gore Vidal,280845,"12,339,633" +"https://m.media-amazon.com/images/M/MV5BZGVmMDNmYmEtNGQ2Mi00Y2ZhLThhZTYtYjE5YmQzMjZiZGMxXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UY98_CR1,0,67,98_AL_.jpg",The Game,1997,UA,129 min,"Action, Drama, Mystery",7.8,"After a wealthy banker is given an opportunity to participate in a mysterious game, his life is turned upside down when he becomes unable to distinguish between the game and reality.",61,David Fincher,Michael Douglas,Deborah Kara Unger,Sean Penn,James Rebhorn,345096,"48,323,648" +"https://m.media-amazon.com/images/M/MV5BNDYwZTU2MzktNWYxMS00NTYzLTgzOWEtMTRiYjc5NGY2Nzg1XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Breaking the Waves,1996,R,159 min,Drama,7.8,"Oilman Jan is paralyzed in an accident. His wife, who prayed for his return, feels guilty; even more, when Jan urges her to have sex with another.",76,Lars von Trier,Emily Watson,Stellan Skarsgård,Katrin Cartlidge,Jean-Marc Barr,62428,"4,040,691" +"https://m.media-amazon.com/images/M/MV5BNTA5ZjdjNWUtZGUwNy00N2RhLWJiZmItYzFhYjU1NmYxNjY4XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Ed Wood,1994,U,127 min,"Biography, Comedy, Drama",7.8,"Ambitious but troubled movie director Edward D. Wood Jr. tries his best to fulfill his dreams, despite his lack of talent.",70,Tim Burton,Johnny Depp,Martin Landau,Sarah Jessica Parker,Patricia Arquette,164937,"5,887,457" +"https://m.media-amazon.com/images/M/MV5BY2EyZDlhNjItODYzNi00Mzc3LWJjOWUtMTViODU5MTExZWMyL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",What's Eating Gilbert Grape,1993,U,118 min,Drama,7.8,A young man in a small Midwestern town struggles to care for his mentally-disabled younger brother and morbidly obese mother while attempting to pursue his own happiness.,73,Lasse Hallström,Johnny Depp,Leonardo DiCaprio,Juliette Lewis,Mary Steenburgen,215034,"9,170,214" +"https://m.media-amazon.com/images/M/MV5BODRkYzA4MGItODE2MC00ZjkwLWI2NDEtYzU1NzFiZGU1YzA0XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Tombstone,1993,R,130 min,"Action, Biography, Drama",7.8,"A successful lawman's plans to retire anonymously in Tombstone, Arizona are disrupted by the kind of outlaws he was famous for eliminating.",50,George P. Cosmatos,Kevin Jarre,Kurt Russell,Val Kilmer,Sam Elliott,126871,"56,505,065" +"https://m.media-amazon.com/images/M/MV5BODllYjM1ODItYjBmOC00MzkwLWJmM2YtMjMyZDU3MGJhNjc4L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Sandlot,1993,U,101 min,"Comedy, Drama, Family",7.8,"In the summer of 1962, a new kid in town is taken under the wing of a young baseball prodigy and his rowdy team, resulting in many adventures.",55,David Mickey Evans,Tom Guiry,Mike Vitar,Art LaFleur,Patrick Renna,78963,"32,416,586" +"https://m.media-amazon.com/images/M/MV5BNDYwOThlMDAtYWUwMS00MjY5LTliMGUtZWFiYTA5MjYwZDAyXkEyXkFqcGdeQXVyNjY1NTQ0NDg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Remains of the Day,1993,U,134 min,"Drama, Romance",7.8,A butler who sacrificed body and soul to service in the years leading up to World War II realizes too late how misguided his loyalty was to his lordly employer.,84,James Ivory,Anthony Hopkins,Emma Thompson,John Haycraft,Christopher Reeve,66065,"22,954,968" +"https://m.media-amazon.com/images/M/MV5BMjA3Y2I4NjAtMDQyZS00ZGJhLWEwMzgtODBiNzE5Zjc1Nzk1L2ltYWdlXkEyXkFqcGdeQXVyNTc2MDU0NDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Naked,1993,,132 min,"Comedy, Drama",7.8,"Parallel tales of two sexually obsessed men, one hurting and annoying women physically and mentally, one wandering around the city talking to strangers and experiencing dimensions of life.",84,Mike Leigh,David Thewlis,Lesley Sharp,Katrin Cartlidge,Greg Cruttwell,34635,"1,769,305" +"https://m.media-amazon.com/images/M/MV5BYmFmOGZjYTItYjY1ZS00OWRiLTk0NDgtMjQ5MzBkYWE2YWE0XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Fugitive,1993,U,130 min,"Action, Crime, Drama",7.8,"Dr. Richard Kimble, unjustly accused of murdering his wife, must find the real killer while being the target of a nationwide manhunt led by a seasoned U.S. Marshal.",87,Andrew Davis,Harrison Ford,Tommy Lee Jones,Sela Ward,Julianne Moore,267684,"183,875,760" +"https://m.media-amazon.com/images/M/MV5BMTczOTczNjE3Ml5BMl5BanBnXkFtZTgwODEzMzg5MTI@._V1_UX67_CR0,0,67,98_AL_.jpg",A Bronx Tale,1993,R,121 min,"Crime, Drama, Romance",7.8,A father becomes worried when a local gangster befriends his son in the Bronx in the 1960s.,80,Robert De Niro,Robert De Niro,Chazz Palminteri,Lillo Brancato,Francis Capra,128171,"17,266,971" +"https://m.media-amazon.com/images/M/MV5BYTRiMWM3MGItNjAxZC00M2E3LThhODgtM2QwOGNmZGU4OWZhXkEyXkFqcGdeQXVyNjExODE1MDc@._V1_UX67_CR0,0,67,98_AL_.jpg",Batman: Mask of the Phantasm,1993,PG,76 min,"Animation, Action, Crime",7.8,Batman is wrongly implicated in a series of murders of mob bosses actually done by a new vigilante assassin.,,Kevin Altieri,Boyd Kirkland,Frank Paur,Dan Riba,Eric Radomski,43690,"5,617,391" +"https://m.media-amazon.com/images/M/MV5BOTIzZGU4ZWMtYmNjMy00NzU0LTljMGYtZmVkMDYwN2U2MzYwL2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Lat sau san taam,1992,R,128 min,"Action, Crime, Thriller",7.8,A tough-as-nails cop teams up with an undercover agent to shut down a sinister mobster and his crew.,,John Woo,Yun-Fat Chow,Tony Chiu-Wai Leung,Teresa Mo,Philip Chan,46700, +"https://m.media-amazon.com/images/M/MV5BOGNmMjBmZWEtOWYwZC00NGIzLTg0YWItMzkzMWMwOTU4YTViXkEyXkFqcGdeQXVyNzc5MjA3OA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Night on Earth,1991,R,129 min,"Comedy, Drama",7.8,An anthology of 5 different cab drivers in 5 American and European cities and their remarkable fares on the same eventful night.,68,Jim Jarmusch,Winona Ryder,Gena Rowlands,Lisanne Falk,Alan Randolph Scott,55362,"2,015,810" +"https://m.media-amazon.com/images/M/MV5BYmE0ZGRiMDgtOTU0ZS00YWUwLTk5YWQtMzhiZGVhNzViMGZiXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",La double vie de Véronique,1991,R,98 min,"Drama, Fantasy, Music",7.8,"Two parallel stories about two identical women; one living in Poland, the other in France. They don't know each other, but their lives are nevertheless profoundly connected.",86,Krzysztof Kieslowski,Irène Jacob,Wladyslaw Kowalski,Halina Gryglaszewska,Kalina Jedrusik,42376,"1,999,955" +"https://m.media-amazon.com/images/M/MV5BZmRjNDI5NTgtOTIwMC00MzJhLWI4ZTYtMmU0ZTE3ZmRkZDNhXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Boyz n the Hood,1991,A,112 min,"Crime, Drama",7.8,"Follows the lives of three young males living in the Crenshaw ghetto of Los Angeles, dissecting questions of race, relationships, violence, and future prospects.",76,John Singleton,Cuba Gooding Jr.,Laurence Fishburne,Hudhail Al-Amir,Lloyd Avery II,126082,"57,504,069" +"https://m.media-amazon.com/images/M/MV5BNzY0ODQ3MTMxN15BMl5BanBnXkFtZTgwMDkwNTg4NjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Misery,1990,R,107 min,"Drama, Thriller",7.8,"After a famous author is rescued from a car crash by a fan of his novels, he comes to realize that the care he is receiving is only the beginning of a nightmare of captivity and abuse.",75,Rob Reiner,James Caan,Kathy Bates,Richard Farnsworth,Frances Sternhagen,184740,"61,276,872" +"https://m.media-amazon.com/images/M/MV5BMjI5NjEzMDYyMl5BMl5BanBnXkFtZTgwNjgwNTg4NjE@._V1_UY98_CR3,0,67,98_AL_.jpg",Awakenings,1990,U,121 min,"Biography, Drama",7.8,"The victims of an encephalitis epidemic many years ago have been catatonic ever since, but now a new drug offers the prospect of reviving them.",74,Penny Marshall,Robert De Niro,Robin Williams,Julie Kavner,Ruth Nelson,125276,"52,096,475" +"https://m.media-amazon.com/images/M/MV5BOTc0ODM1Njk1NF5BMl5BanBnXkFtZTcwMDI5OTEyNw@@._V1_UY98_CR1,0,67,98_AL_.jpg",Majo no takkyûbin,1989,U,103 min,"Animation, Adventure, Drama",7.8,"A young witch, on her mandatory year of independent life, finds fitting into a new community difficult while she supports herself by running an air courier service.",83,Hayao Miyazaki,Kirsten Dunst,Minami Takayama,Rei Sakuma,Kappei Yamaguchi,124193, +"https://m.media-amazon.com/images/M/MV5BODhlNjA5MDEtZDVhNS00ZmM3LTg1YzAtZGRjNjhjNTAzNzVkXkEyXkFqcGdeQXVyNjUwMzI2NzU@._V1_UY98_CR0,0,67,98_AL_.jpg",Glory,1989,R,122 min,"Biography, Drama, History",7.8,"Robert Gould Shaw leads the U.S. Civil War's first all-black volunteer company, fighting prejudices from both his own Union Army, and the Confederates.",78,Edward Zwick,Matthew Broderick,Denzel Washington,Cary Elwes,Morgan Freeman,122779,"26,830,000" +"https://m.media-amazon.com/images/M/MV5BMDQyMDVhZjItMGI0Mi00MDQ1LTk3NmQtZmRjZGQ5ZTQ2ZDU5XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Dip huet seung hung,1989,R,111 min,"Action, Crime, Drama",7.8,A disillusioned assassin accepts one last hit in hopes of using his earnings to restore vision to a singer he accidentally blinded.,82,John Woo,Yun-Fat Chow,Danny Lee,Sally Yeh,Kong Chu,45624, +"https://m.media-amazon.com/images/M/MV5BZTMxMGM5MjItNDJhNy00MWI2LWJlZWMtOWFhMjI5ZTQwMWM3XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Back to the Future Part II,1989,U,108 min,"Adventure, Comedy, Sci-Fi",7.8,"After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985...without interfering with his first trip.",57,Robert Zemeckis,Michael J. Fox,Christopher Lloyd,Lea Thompson,Thomas F. Wilson,481918,"118,500,000" +"https://m.media-amazon.com/images/M/MV5BZTFjNjU4OTktYzljMS00MmFlLWI3NGEtNjNhMTYwYzUyZDgyL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Mississippi Burning,1988,A,128 min,"Crime, Drama, History",7.8,Two F.B.I. Agents with wildly different styles arrive in Mississippi to investigate the disappearance of some civil rights activists.,65,Alan Parker,Gene Hackman,Willem Dafoe,Frances McDormand,Brad Dourif,88214,"34,603,943" +"https://m.media-amazon.com/images/M/MV5BY2QwYmFmZTEtNzY2Mi00ZWMyLWEwY2YtMGIyNGZjMWExOWEyXkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UX67_CR0,0,67,98_AL_.jpg",Predator,1987,A,107 min,"Action, Adventure, Sci-Fi",7.8,A team of commandos on a mission in a Central American jungle find themselves hunted by an extraterrestrial warrior.,45,John McTiernan,Arnold Schwarzenegger,Carl Weathers,Kevin Peter Hall,Elpidia Carrillo,371387,"59,735,548" +"https://m.media-amazon.com/images/M/MV5BMWY3ODZlOGMtNzJmOS00ZTNjLWI3ZWEtZTJhZTk5NDZjYWRjXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Evil Dead II,1987,A,84 min,"Action, Comedy, Fantasy",7.8,The lone survivor of an onslaught of flesh-possessing spirits holes up in a cabin with a group of strangers while the demons continue their attack.,72,Sam Raimi,Bruce Campbell,Sarah Berry,Dan Hicks,Kassie Wesley DePaiva,148359,"5,923,044" +"https://m.media-amazon.com/images/M/MV5BMDA0NjZhZWUtNmI2NC00MmFjLTgwZDYtYzVjZmNhMDVmOTBkXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Ferris Bueller's Day Off,1986,U,103 min,Comedy,7.8,"A high school wise guy is determined to have a day off from school, despite what the Principal thinks of that.",61,John Hughes,Matthew Broderick,Alan Ruck,Mia Sara,Jeffrey Jones,321382,"70,136,369" +"https://m.media-amazon.com/images/M/MV5BM2ZmNDJiZTUtYjg5Zi00M2I3LTliZjAtNzQ4NTlkYTAzYTAxXkEyXkFqcGdeQXVyNTkyMDc0MjI@._V1_UX67_CR0,0,67,98_AL_.jpg",Down by Law,1986,R,107 min,"Comedy, Crime, Drama",7.8,"Two men are framed and sent to jail, where they meet a murderer who helps them escape and leave the state.",75,Jim Jarmusch,Tom Waits,John Lurie,Roberto Benigni,Nicoletta Braschi,47834,"1,436,000" +"https://m.media-amazon.com/images/M/MV5BODRlMjRkZGEtZWM2Zi00ZjYxLWE0MWUtMmM1YWM2NzZlOTE1XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Goonies,1985,U,114 min,"Adventure, Comedy, Family",7.8,A group of young misfits called The Goonies discover an ancient map and set out on an adventure to find a legendary pirate's long-lost treasure.,62,Richard Donner,Sean Astin,Josh Brolin,Jeff Cohen,Corey Feldman,244430,"61,503,218" +"https://m.media-amazon.com/images/M/MV5BZDRkOWQ5NGUtYTVmOS00ZjNhLWEwODgtOGI2MmUxNTBkMjU0XkEyXkFqcGdeQXVyMjUzOTY1NTc@._V1_UX67_CR0,0,67,98_AL_.jpg",The Color Purple,1985,U,154 min,Drama,7.8,A black Southern woman struggles to find her identity after suffering abuse from her father and others over four decades.,78,Steven Spielberg,Danny Glover,Whoopi Goldberg,Oprah Winfrey,Margaret Avery,78321,"98,467,863" +"https://m.media-amazon.com/images/M/MV5BOTM5N2ZmZTMtNjlmOS00YzlkLTk3YjEtNTU1ZmQ5OTdhODZhXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Breakfast Club,1985,UA,97 min,"Comedy, Drama",7.8,Five high school students meet in Saturday detention and discover how they have a lot more in common than they thought.,66,John Hughes,Emilio Estevez,Judd Nelson,Molly Ringwald,Ally Sheedy,357026,"45,875,171" +"https://m.media-amazon.com/images/M/MV5BMGI0NzI5YjAtNTg0MS00NDA2LWE5ZWItODRmOTAxOTAxYjg2L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",The Killing Fields,1984,UA,141 min,"Biography, Drama, History",7.8,"A journalist is trapped in Cambodia during tyrant Pol Pot's bloody 'Year Zero' cleansing campaign, which claimed the lives of two million 'undesirable' civilians.",76,Roland Joffé,Sam Waterston,Haing S. Ngor,John Malkovich,Julian Sands,51585,"34,700,291" +"https://m.media-amazon.com/images/M/MV5BMTkxMjYyNzgwMl5BMl5BanBnXkFtZTgwMTE3MjYyMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Ghostbusters,1984,UA,105 min,"Action, Comedy, Fantasy",7.8,Three former parapsychology professors set up shop as a unique ghost removal service.,71,Ivan Reitman,Bill Murray,Dan Aykroyd,Sigourney Weaver,Harold Ramis,355413,"238,632,124" +"https://m.media-amazon.com/images/M/MV5BOTUwMDA3MTYtZjhjMi00ODFmLTg5ZTAtYzgwN2NlODgzMmUwXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Right Stuff,1983,PG,193 min,"Adventure, Biography, Drama",7.8,"The story of the original Mercury 7 astronauts and their macho, seat-of-the-pants approach to the space program.",91,Philip Kaufman,Sam Shepard,Scott Glenn,Ed Harris,Dennis Quaid,56235,"21,500,000" +"https://m.media-amazon.com/images/M/MV5BMTViNjlkYjgtMmE3Zi00ZGVkLTkyMjMtNzc3YzAwNzNiODQ1XkEyXkFqcGdeQXVyMjA0MzYwMDY@._V1_UX67_CR0,0,67,98_AL_.jpg",The King of Comedy,1982,U,109 min,"Comedy, Crime, Drama",7.8,"Rupert Pupkin is a passionate yet unsuccessful comic who craves nothing more than to be in the spotlight and to achieve this, he stalks and kidnaps his idol to take the spotlight for himself.",73,Martin Scorsese,Robert De Niro,Jerry Lewis,Diahnne Abbott,Sandra Bernhard,88511,"2,500,000" +"https://m.media-amazon.com/images/M/MV5BMTQ2ODFlMDAtNzdhOC00ZDYzLWE3YTMtNDU4ZGFmZmJmYTczXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",E.T. the Extra-Terrestrial,1982,U,115 min,"Family, Sci-Fi",7.8,A troubled child summons the courage to help a friendly alien escape Earth and return to his home world.,91,Steven Spielberg,Henry Thomas,Drew Barrymore,Peter Coyote,Dee Wallace,372490,"435,110,554" +"https://m.media-amazon.com/images/M/MV5BNDM3YjNlYmMtOGY3NS00MmRjLWIyY2UtNDA0MWM3OTNlZTY2XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Kramer vs. Kramer,1979,A,105 min,Drama,7.8,"Ted Kramer's wife leaves him, allowing for a lost bond to be rediscovered between Ted and his son, Billy. But a heated custody battle ensues over the divorced couple's son, deepening the wounds left by the separation.",77,Robert Benton,Dustin Hoffman,Meryl Streep,Jane Alexander,Justin Henry,133351,"106,260,000" +"https://m.media-amazon.com/images/M/MV5BZjMyZmU4OGYtNjBiYS00YTIxLWJjMDUtZjczZmQwMTM4YjQxXkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",Days of Heaven,1978,PG,94 min,"Drama, Romance",7.8,A hot-tempered farm laborer convinces the woman he loves to marry their rich but dying boss so that they can have a claim to his fortune.,93,Terrence Malick,Richard Gere,Brooke Adams,Sam Shepard,Linda Manz,52852, +"https://m.media-amazon.com/images/M/MV5BMjIxNDYxMTk2MF5BMl5BanBnXkFtZTgwMjQxNjU3MTE@._V1_UY98_CR0,0,67,98_AL_.jpg",The Outlaw Josey Wales,1976,A,135 min,Western,7.8,Missouri farmer Josey Wales joins a Confederate guerrilla unit and winds up on the run from the Union soldiers who murdered his family.,69,Clint Eastwood,Clint Eastwood,Sondra Locke,Chief Dan George,Bill McKinney,65659,"31,800,000" +"https://m.media-amazon.com/images/M/MV5BZWQzYjBjZmQtZDFiOS00ZDQ1LWI4MDAtMDk1NGE1NDBhYjNhL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Man Who Would Be King,1975,PG,129 min,"Adventure, History, War",7.8,"Two British former soldiers decide to set themselves up as Kings in Kafiristan, a land where no white man has set foot since Alexander the Great.",91,John Huston,Sean Connery,Michael Caine,Christopher Plummer,Saeed Jaffrey,44917, +"https://m.media-amazon.com/images/M/MV5BNzZlMThlYzktMDlmZC00YTI1LThlNzktZWU0MTY4ODc2ZWY4XkEyXkFqcGdeQXVyNTA1NjYyMDk@._V1_UX67_CR0,0,67,98_AL_.jpg",The Conversation,1974,U,113 min,"Drama, Mystery, Thriller",7.8,"A paranoid, secretive surveillance expert has a crisis of conscience when he suspects that the couple he is spying on will be murdered.",85,Francis Ford Coppola,Gene Hackman,John Cazale,Allen Garfield,Frederic Forrest,98611,"4,420,000" +"https://m.media-amazon.com/images/M/MV5BYjhhMDFlZDctYzg1Mi00ZmZiLTgyNTgtM2NkMjRkNzYwZmQ0XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",La planète sauvage,1973,U,72 min,"Animation, Sci-Fi",7.8,"On a faraway planet where blue giants rule, oppressed humanoids rebel against their machine-like leaders.",73,René Laloux,Barry Bostwick,Jennifer Drake,Eric Baugin,Jean Topart,25229,"193,817" +"https://m.media-amazon.com/images/M/MV5BNjZmMWE4NzgtZjc5OS00NTBmLThlY2MtM2MzNTA5NTZiNTFjXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UY98_CR0,0,67,98_AL_.jpg",The Day of the Jackal,1973,A,143 min,"Crime, Drama, Thriller",7.8,"A professional assassin codenamed ""Jackal"" plots to kill Charles de Gaulle, the President of France.",80,Fred Zinnemann,Edward Fox,Terence Alexander,Michel Auclair,Alan Badel,37445,"16,056,255" +"https://m.media-amazon.com/images/M/MV5BMDcxNjhiOTEtMzQ0YS00OTBhLTkxM2QtN2UyZDMzNzIzNWFlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UY98_CR1,0,67,98_AL_.jpg",Badlands,1973,PG,94 min,"Action, Crime, Drama",7.8,An impressionable teenage girl from a dead-end town and her older greaser boyfriend embark on a killing spree in the South Dakota badlands.,93,Terrence Malick,Martin Sheen,Sissy Spacek,Warren Oates,Ramon Bieri,66009, +"https://m.media-amazon.com/images/M/MV5BNTEyMzc0Mjk5MV5BMl5BanBnXkFtZTgwMjI2NDIwMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Cabaret,1972,A,124 min,"Drama, Music, Musical",7.8,A female girlie club entertainer in Weimar Republic era Berlin romances two men while the Nazi Party rises to power around them.,80,Bob Fosse,Liza Minnelli,Michael York,Helmut Griem,Joel Grey,48334,"42,765,000" +"https://m.media-amazon.com/images/M/MV5BZTllNDU0ZTItYTYxMC00OTI4LThlNDAtZjNiNzdhMWZiYjNmXkEyXkFqcGdeQXVyNzY1NDgwNjQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Willy Wonka & the Chocolate Factory,1971,U,100 min,"Family, Fantasy, Musical",7.8,A poor but hopeful boy seeks one of the five coveted golden tickets that will send him on a tour of Willy Wonka's mysterious chocolate factory.,67,Mel Stuart,Gene Wilder,Jack Albertson,Peter Ostrum,Roy Kinnear,178731,"4,000,000" +"https://m.media-amazon.com/images/M/MV5BNTgwZmIzMmYtZjE3Yy00NzgzLTgxNmUtNjlmZDlkMzlhOTJkXkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UX67_CR0,0,67,98_AL_.jpg",Midnight Cowboy,1969,A,113 min,Drama,7.8,"A naive hustler travels from Texas to New York City to seek personal fortune, finding a new friend in the process.",79,John Schlesinger,Dustin Hoffman,Jon Voight,Sylvia Miles,John McGiver,101124,"44,785,053" +"https://m.media-amazon.com/images/M/MV5BMTQyNTAzOTI3NF5BMl5BanBnXkFtZTcwNTM0Mjg0Mg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Wait Until Dark,1967,,108 min,Thriller,7.8,A recently blinded woman is terrorized by a trio of thugs while they search for a heroin-stuffed doll they believe is in her apartment.,81,Terence Young,Audrey Hepburn,Alan Arkin,Richard Crenna,Efrem Zimbalist Jr.,27733,"17,550,741" +"https://m.media-amazon.com/images/M/MV5BZTVmMTk2NjUtNjVjNC00OTcwLWE4OWEtNzA4Mjk1ZmIwNDExXkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UX67_CR0,0,67,98_AL_.jpg",Guess Who's Coming to Dinner,1967,,108 min,"Comedy, Drama",7.8,A couple's attitudes are challenged when their daughter introduces them to her African-American fiancé.,63,Stanley Kramer,Spencer Tracy,Sidney Poitier,Katharine Hepburn,Katharine Houghton,39642,"56,700,000" +"https://m.media-amazon.com/images/M/MV5BOTViZmMwOGEtYzc4Yy00ZGQ1LWFkZDQtMDljNGZlMjAxMjhiXkEyXkFqcGdeQXVyNzM0MTUwNTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Bonnie and Clyde,1967,A,111 min,"Action, Biography, Crime",7.8,"Bored waitress Bonnie Parker falls in love with an ex-con named Clyde Barrow and together they start a violent crime spree through the country, stealing cars and robbing banks.",86,Arthur Penn,Warren Beatty,Faye Dunaway,Michael J. Pollard,Gene Hackman,102415, +"https://m.media-amazon.com/images/M/MV5BNGM0ZTU3NmItZmRmMy00YWNjLWEzMWItYzg3MzcwZmM5NjdiXkEyXkFqcGdeQXVyNDYyMDk5MTU@._V1_UY98_CR2,0,67,98_AL_.jpg",My Fair Lady,1964,U,170 min,"Drama, Family, Musical",7.8,Snobbish phonetics Professor Henry Higgins agrees to a wager that he can make flower girl Eliza Doolittle presentable in high society.,95,George Cukor,Audrey Hepburn,Rex Harrison,Stanley Holloway,Wilfrid Hyde-White,86525,"72,000,000" +"https://m.media-amazon.com/images/M/MV5BNmJkODczNjItNDI5Yy00MGI1LTkyOWItZDNmNjM4ZGI1ZDVlL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Mary Poppins,1964,U,139 min,"Comedy, Family, Fantasy",7.8,"In turn of the century London, a magical nanny employs music and adventure to help two neglected children become closer to their father.",88,Robert Stevenson,Julie Andrews,Dick Van Dyke,David Tomlinson,Glynis Johns,158029,"102,272,727" +"https://m.media-amazon.com/images/M/MV5BZTM1ZjQ2YTktNDM2MS00NGY2LTkzNzItZTU4ODg1ODNkMWYxL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Longest Day,1962,G,178 min,"Action, Drama, History",7.8,"The events of D-Day, told on a grand scale from both the Allied and German points of view.",75,Ken Annakin,Andrew Marton,Gerd Oswald,Bernhard Wicki,Darryl F. Zanuck,52141,"39,100,000" +"https://m.media-amazon.com/images/M/MV5BZTM1MTRiNDctMTFiMC00NGM1LTkyMWQtNTY1M2JjZDczOWQ3XkEyXkFqcGdeQXVyMDI3OTIzOA@@._V1_UY98_CR3,0,67,98_AL_.jpg",Jules et Jim,1962,,105 min,"Drama, Romance",7.8,Decades of a love triangle concerning two friends and an impulsive woman.,97,François Truffaut,Jeanne Moreau,Oskar Werner,Henri Serre,Vanna Urbino,37605, +"https://m.media-amazon.com/images/M/MV5BNGQyNjBjNTUtNTM1OS00YzcyLWFhNTgtNTU0MDg3NzBlMDQzXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UY98_CR0,0,67,98_AL_.jpg",The Innocents,1961,A,100 min,Horror,7.8,A young governess for two children becomes convinced that the house and grounds are haunted.,88,Jack Clayton,Deborah Kerr,Peter Wyngarde,Megs Jenkins,Michael Redgrave,27007,"2,616,000" +"https://m.media-amazon.com/images/M/MV5BNzk5MDk2MjktY2I3NS00ODZkLTk3OTktY2Q3ZDE2MmQ2M2ZmXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UY98_CR2,0,67,98_AL_.jpg",À bout de souffle,1960,U,90 min,"Crime, Drama",7.8,"A small-time thief steals a car and impulsively murders a motorcycle policeman. Wanted by the authorities, he reunites with a hip American journalism student and attempts to persuade her to run away with him to Italy.",,Jean-Luc Godard,Jean-Paul Belmondo,Jean Seberg,Daniel Boulanger,Henri-Jacques Huet,73251,"336,705" +"https://m.media-amazon.com/images/M/MV5BNzNiOGJhMDUtZjNjMC00YmE5LTk3NjQtNGM4ZjAzOGJjZmRlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Red River,1948,Passed,133 min,"Action, Adventure, Drama",7.8,"Dunson leads a cattle drive, the culmination of over 14 years of work, to its destination in Missouri. But his tyrannical behavior along the way causes a mutiny, led by his adopted son.",,Howard Hawks,Arthur Rosson,John Wayne,Montgomery Clift,Joanne Dru,28167, +"https://m.media-amazon.com/images/M/MV5BODI3YzNiZTUtYjEyZS00ODkwLWE2ZDUtNGJmMTNiYTc4ZTM4XkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Key Largo,1948,,100 min,"Action, Crime, Drama",7.8,"A man visits his war buddy's family hotel and finds a gangster running things. As a hurricane approaches, the two end up confronting each other.",,John Huston,Humphrey Bogart,Edward G. Robinson,Lauren Bacall,Lionel Barrymore,36995, +"https://m.media-amazon.com/images/M/MV5BZGU2YmU0MWMtMzg5My00ZmY2LTljMDItMTg2YTI5Y2U2OTE3XkEyXkFqcGdeQXVyMjUxODE0MDY@._V1_UY98_CR0,0,67,98_AL_.jpg",To Have and Have Not,1944,PG,100 min,"Adventure, Comedy, Film-Noir",7.8,"During World War II, American expatriate Harry Morgan helps transport a French Resistance leader and his beautiful wife to Martinique while romancing a sensuous lounge singer.",,Howard Hawks,Humphrey Bogart,Lauren Bacall,Walter Brennan,Dolores Moran,31053, +"https://m.media-amazon.com/images/M/MV5BM2I1YWM4NTYtYjA0Ny00ZDEwLTg3NTgtNzBjMzZhZTk1YTA1XkEyXkFqcGdeQXVyMTY5Nzc4MDY@._V1_UX67_CR0,0,67,98_AL_.jpg",Shadow of a Doubt,1943,PG,108 min,"Film-Noir, Thriller",7.8,"A young girl, overjoyed when her favorite uncle comes to visit the family, slowly begins to suspect that he is in fact the ""Merry Widow"" killer sought by the authorities.",94,Alfred Hitchcock,Teresa Wright,Joseph Cotten,Macdonald Carey,Henry Travers,59556, +"https://m.media-amazon.com/images/M/MV5BOGQ4NDUyNWQtZTEyOC00OTMzLWFhYjAtNDNmYmQ2MWQyMTRmXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Stagecoach,1939,Passed,96 min,"Adventure, Drama, Western",7.8,A group of people traveling on a stagecoach find their journey complicated by the threat of Geronimo and learn something about each other in the process.,93,John Ford,John Wayne,Claire Trevor,Andy Devine,John Carradine,43621, +"https://m.media-amazon.com/images/M/MV5BNjk3YzFjYTktOGY0ZS00Y2EwLTk2NTctYTI1Nzc2OWNiN2I4XkEyXkFqcGdeQXVyNzM0MTUwNTY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Lady Vanishes,1938,,96 min,"Mystery, Thriller",7.8,"While travelling in continental Europe, a rich young playgirl realizes that an elderly lady seems to have disappeared from the train.",98,Alfred Hitchcock,Margaret Lockwood,Michael Redgrave,Paul Lukas,May Whitty,47400, +"https://m.media-amazon.com/images/M/MV5BMmVkOTRiYmItZjE4NS00MWNjLWE0ZmMtYzg5YzFjMjMyY2RkXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Bringing Up Baby,1938,Passed,102 min,"Comedy, Family, Romance",7.8,"While trying to secure a $1 million donation for his museum, a befuddled paleontologist is pursued by a flighty and often irritating heiress and her pet leopard, Baby.",91,Howard Hawks,Katharine Hepburn,Cary Grant,Charles Ruggles,Walter Catlett,55163, +"https://m.media-amazon.com/images/M/MV5BOTUzMzAzMzEzNV5BMl5BanBnXkFtZTgwOTg1NTAwMjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Bride of Frankenstein,1935,,75 min,"Drama, Horror, Sci-Fi",7.8,"Mary Shelley reveals the main characters of her novel survived: Dr. Frankenstein, goaded by an even madder scientist, builds his monster a mate.",95,James Whale,Boris Karloff,Elsa Lanchester,Colin Clive,Valerie Hobson,43542,"4,360,000" +"https://m.media-amazon.com/images/M/MV5BYmYxZGU2NWYtNzQxZS00NmEyLWIzN2YtMDk5MWM0ODc5ZTE4XkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Duck Soup,1933,,69 min,"Comedy, Musical, War",7.8,Rufus T. Firefly is named president/dictator of bankrupt Freedonia and declares war on neighboring Sylvania over the love of wealthy Mrs. Teasdale.,93,Leo McCarey,Groucho Marx,Harpo Marx,Chico Marx,Zeppo Marx,55581, +"https://m.media-amazon.com/images/M/MV5BYmMxZTU2ZDUtM2Y1MS00ZWFmLWJlN2UtNzI0OTJiOTYzMTk3XkEyXkFqcGdeQXVyMjUxODE0MDY@._V1_UX67_CR0,0,67,98_AL_.jpg",Scarface: The Shame of the Nation,1932,PG,93 min,"Action, Crime, Drama",7.8,"An ambitious and nearly insane violent gangster climbs the ladder of success in the mob, but his weaknesses prove to be his downfall.",87,Howard Hawks,Richard Rosson,Paul Muni,Ann Dvorak,Karen Morley,25312, +"https://m.media-amazon.com/images/M/MV5BMTQ0Njc1MjM0OF5BMl5BanBnXkFtZTgwNTY2NTUyMjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Frankenstein,1931,Passed,70 min,"Drama, Horror, Sci-Fi",7.8,Dr. Frankenstein dares to tamper with life and death by creating a human monster out of lifeless body parts.,91,James Whale,Colin Clive,Mae Clarke,Boris Karloff,John Boles,65341, +"https://m.media-amazon.com/images/M/MV5BMTU0OTc3ODk4Ml5BMl5BanBnXkFtZTgwMzM4NzI5NjM@._V1_UX67_CR0,0,67,98_AL_.jpg",Roma,2018,R,135 min,Drama,7.7,A year in the life of a middle-class family's maid in Mexico City in the early 1970s.,96,Alfonso Cuarón,Yalitza Aparicio,Marina de Tavira,Diego Cortina Autrey,Carlos Peralta,140375, +"https://m.media-amazon.com/images/M/MV5BNjRhYzk2NDAtYzA1Mi00MmNmLWE1ZjQtMDBhZmUyMTdjZjBiXkEyXkFqcGdeQXVyNjk1Njg5NTA@._V1_UX67_CR0,0,67,98_AL_.jpg",God's Own Country,2017,,104 min,"Drama, Romance",7.7,"Spring. Yorkshire. Young farmer Johnny Saxby numbs his daily frustrations with binge drinking and casual sex, until the arrival of a Romanian migrant worker for lambing season ignites an intense relationship that sets Johnny on a new path.",85,Francis Lee,Josh O'Connor,Alec Secareanu,Gemma Jones,Ian Hart,25198,"335,609" +"https://m.media-amazon.com/images/M/MV5BNjk1Njk3YjctMmMyYS00Y2I4LThhMzktN2U0MTMyZTFlYWQ5XkEyXkFqcGdeQXVyODM2ODEzMDA@._V1_UY98_CR15,0,67,98_AL_.jpg",Deadpool 2,2018,R,119 min,"Action, Adventure, Comedy",7.7,"Foul-mouthed mutant mercenary Wade Wilson (a.k.a. Deadpool), brings together a team of fellow mutant rogues to protect a young boy with supernatural abilities from the brutal, time-traveling cyborg Cable.",66,David Leitch,Ryan Reynolds,Josh Brolin,Morena Baccarin,Julian Dennison,478586,"324,591,735" +"https://m.media-amazon.com/images/M/MV5BMTUyMjU1OTUwM15BMl5BanBnXkFtZTgwMDg1NDQ2MjI@._V1_UX67_CR0,0,67,98_AL_.jpg",Wind River,2017,R,107 min,"Crime, Drama, Mystery",7.7,A veteran hunter helps an FBI agent investigate the murder of a young woman on a Wyoming Native American reservation.,73,Taylor Sheridan,Kelsey Asbille,Jeremy Renner,Julia Jones,Teo Briones,205444,"33,800,859" +"https://m.media-amazon.com/images/M/MV5BMjUxMDQwNjcyNl5BMl5BanBnXkFtZTgwNzcwMzc0MTI@._V1_UX67_CR0,0,67,98_AL_.jpg",Get Out,2017,R,104 min,"Horror, Mystery, Thriller",7.7,"A young African-American visits his white girlfriend's parents for the weekend, where his simmering uneasiness about their reception of him eventually reaches a boiling point.",85,Jordan Peele,Daniel Kaluuya,Allison Williams,Bradley Whitford,Catherine Keener,492851,"176,040,665" +"https://m.media-amazon.com/images/M/MV5BNjRlZmM0ODktY2RjNS00ZDdjLWJhZGYtNDljNWZkMGM5MTg0XkEyXkFqcGdeQXVyNjAwMjI5MDk@._V1_UX67_CR0,0,67,98_AL_.jpg",Mission: Impossible - Fallout,2018,UA,147 min,"Action, Adventure, Thriller",7.7,"Ethan Hunt and his IMF team, along with some familiar allies, race against time after a mission gone wrong.",86,Christopher McQuarrie,Tom Cruise,Henry Cavill,Ving Rhames,Simon Pegg,291257,"220,159,104" +"https://m.media-amazon.com/images/M/MV5BMjE0NDUyOTc2MV5BMl5BanBnXkFtZTgwODk2NzU3OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",En man som heter Ove,2015,PG-13,116 min,"Comedy, Drama, Romance",7.7,"Ove, an ill-tempered, isolated retiree who spends his days enforcing block association rules and visiting his wife's grave, has finally given up on life just as an unlikely friendship develops with his boisterous new neighbors.",70,Hannes Holm,Rolf Lassgård,Bahar Pars,Filip Berg,Ida Engvoll,47444,"3,358,518" +"https://m.media-amazon.com/images/M/MV5BMjAwNDA5NzEwM15BMl5BanBnXkFtZTgwMTA1MDUyNDE@._V1_UX67_CR0,0,67,98_AL_.jpg",What We Do in the Shadows,2014,R,86 min,"Comedy, Horror",7.7,"Viago, Deacon and Vladislav are vampires who are finding that modern life has them struggling with the mundane - like paying rent, keeping up with the chore wheel, trying to get into nightclubs and overcoming flatmate conflicts.",76,Jemaine Clement,Taika Waititi,Jemaine Clement,Taika Waititi,Cori Gonzalez-Macuer,157498,"3,333,000" +"https://m.media-amazon.com/images/M/MV5BZTlmYTJmMWEtNDRhNy00ODc1LTg2OTMtMjk2ODJhNTA4YTE1XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR0,0,67,98_AL_.jpg",Omoide no Mânî,2014,U,103 min,"Animation, Drama, Family",7.7,"Due to 12 y.o. Anna's asthma, she's sent to stay with relatives of her guardian in the Japanese countryside. She likes to be alone, sketching. She befriends Marnie. Who is the mysterious, blonde Marnie.",72,James Simone,Hiromasa Yonebayashi,Sara Takatsuki,Kasumi Arimura,Nanako Matsushima,32798,"765,127" +"https://m.media-amazon.com/images/M/MV5BMTAwMTU4MDA3NDNeQTJeQWpwZ15BbWU4MDk4NTMxNTIx._V1_UX67_CR0,0,67,98_AL_.jpg",The Theory of Everything,2014,U,123 min,"Biography, Drama, Romance",7.7,A look at the relationship between the famous physicist Stephen Hawking and his wife.,72,James Marsh,Eddie Redmayne,Felicity Jones,Tom Prior,Sophie Perry,404182,"35,893,537" +"https://m.media-amazon.com/images/M/MV5BYTM3ZTllNzItNTNmOS00NzJiLTg1MWMtMjMxNDc0NmJhODU5XkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Kingsman: The Secret Service,2014,A,129 min,"Action, Adventure, Comedy",7.7,"A spy organisation recruits a promising street kid into the agency's training program, while a global threat emerges from a twisted tech genius.",60,Matthew Vaughn,Colin Firth,Taron Egerton,Samuel L. Jackson,Michael Caine,590440,"128,261,724" +"https://m.media-amazon.com/images/M/MV5BNTVkMTFiZWItOTFkOC00YTc3LWFhYzQtZTg3NzAxZjJlNTAyXkEyXkFqcGdeQXVyODE5NzE3OTE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Fault in Our Stars,2014,UA,126 min,"Drama, Romance",7.7,Two teenage cancer patients begin a life-affirming journey to visit a reclusive author in Amsterdam.,69,Josh Boone,Shailene Woodley,Ansel Elgort,Nat Wolff,Laura Dern,344312,"124,872,350" +"https://m.media-amazon.com/images/M/MV5BNTA1NzUzNjY4MV5BMl5BanBnXkFtZTgwNDU0MDI0NTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Me and Earl and the Dying Girl,2015,PG-13,105 min,"Comedy, Drama",7.7,"High schooler Greg, who spends most of his time making parodies of classic movies with his co-worker Earl, finds his outlook forever altered after befriending a classmate who has just been diagnosed with cancer.",74,Alfonso Gomez-Rejon,Thomas Mann,RJ Cyler,Olivia Cooke,Nick Offerman,123210,"6,743,776" +"https://m.media-amazon.com/images/M/MV5BODAzNDMxMzAxOV5BMl5BanBnXkFtZTgwMDMxMjA4MjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Birdman or (The Unexpected Virtue of Ignorance),2014,A,119 min,"Comedy, Drama",7.7,"A washed-up superhero actor attempts to revive his fading career by writing, directing, and starring in a Broadway production.",87,Alejandro G. Iñárritu,Michael Keaton,Zach Galifianakis,Edward Norton,Andrea Riseborough,580291,"42,340,598" +"https://m.media-amazon.com/images/M/MV5BMTQ5NTg5ODk4OV5BMl5BanBnXkFtZTgwODc4MTMzMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",La vie d'Adèle,2013,A,180 min,"Drama, Romance",7.7,"Adèle's life is changed when she meets Emma, a young woman with blue hair, who will allow her to discover desire and to assert herself as a woman and as an adult. In front of others, Adèle grows, seeks herself, loses herself, and ultimately finds herself through love and loss.",89,Abdellatif Kechiche,Léa Seydoux,Adèle Exarchopoulos,Salim Kechiouche,Aurélien Recoing,138741,"2,199,675" +"https://m.media-amazon.com/images/M/MV5BMTgwNTAwMjEzMF5BMl5BanBnXkFtZTcwNzMzODY4OA@@._V1_UY98_CR3,0,67,98_AL_.jpg",Kai po che!,2013,U,130 min,"Drama, Sport",7.7,Three friends growing up in India at the turn of the millennium set out to open a training academy to produce the country's next cricket stars.,40,Abhishek Kapoor,Amit Sadh,Sushant Singh Rajput,Rajkummar Rao,Amrita Puri,32628,"1,122,527" +"https://m.media-amazon.com/images/M/MV5BMTQzMzg2Nzg2MF5BMl5BanBnXkFtZTgwNjUzNzIzMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Broken Circle Breakdown,2012,,111 min,"Drama, Music, Romance",7.7,"Elise and Didier fall in love at first sight, in spite of their differences. He talks, she listens. He's a romantic atheist, she's a religious realist. When their daughter becomes seriously ill, their love is put on trial.",70,Felix van Groeningen,Veerle Baetens,Johan Heldenbergh,Nell Cattrysse,Geert Van Rampelberg,39379,"175,058" +"https://m.media-amazon.com/images/M/MV5BMzA2NDkwODAwM15BMl5BanBnXkFtZTgwODk5MTgzMTE@._V1_UY98_CR0,0,67,98_AL_.jpg",Captain America: The Winter Soldier,2014,UA,136 min,"Action, Adventure, Sci-Fi",7.7,"As Steve Rogers struggles to embrace his role in the modern world, he teams up with a fellow Avenger and S.H.I.E.L.D agent, Black Widow, to battle a new threat from history: an assassin known as the Winter Soldier.",70,Anthony Russo,Joe Russo,Chris Evans,Samuel L. Jackson,Scarlett Johansson,736182,"259,766,572" +"https://m.media-amazon.com/images/M/MV5BOTc3NzAxMjg4M15BMl5BanBnXkFtZTcwMDc2ODQwNw@@._V1_UY98_CR3,0,67,98_AL_.jpg",Rockstar,2011,UA,159 min,"Drama, Music, Musical",7.7,"Janardhan Jakhar chases his dreams of becoming a big Rock star, during which he falls in love with Heer.",,Imtiaz Ali,Ranbir Kapoor,Nargis Fakhri,Shammi Kapoor,Kumud Mishra,39501,"985,912" +"https://m.media-amazon.com/images/M/MV5BOGQzODdlMDktNzU4ZC00N2M3LWFkYTAtYTM1NTE0ZWI5YTg4XkEyXkFqcGdeQXVyMTA1NTM1NDI2._V1_UX67_CR0,0,67,98_AL_.jpg",Nebraska,2013,UA,115 min,"Adventure, Comedy, Drama",7.7,"An aging, booze-addled father makes the trip from Montana to Nebraska with his estranged son in order to claim a million-dollar Mega Sweepstakes Marketing prize.",87,Alexander Payne,Bruce Dern,Will Forte,June Squibb,Bob Odenkirk,112298,"17,654,912" +"https://m.media-amazon.com/images/M/MV5BNzMxNTExOTkyMF5BMl5BanBnXkFtZTcwMzEyNDc0OA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Wreck-It Ralph,2012,U,101 min,"Animation, Adventure, Comedy",7.7,"A video game villain wants to be a hero and sets out to fulfill his dream, but his quest brings havoc to the whole arcade where he lives.",72,Rich Moore,John C. Reilly,Jack McBrayer,Jane Lynch,Sarah Silverman,380195,"189,422,889" +"https://m.media-amazon.com/images/M/MV5BNjg0OTM5OTQyNV5BMl5BanBnXkFtZTgwNDg5NDQ0NTE@._V1_UY98_CR2,0,67,98_AL_.jpg",Le Petit Prince,2015,PG,108 min,"Animation, Adventure, Drama",7.7,"A little girl lives in a very grown-up world with her mother, who tries to prepare her for it. Her neighbor, the Aviator, introduces the girl to an extraordinary world where anything is possible, the world of the Little Prince.",70,Mark Osborne,Jeff Bridges,Mackenzie Foy,Rachel McAdams,Marion Cotillard,56720,"1,339,152" +"https://m.media-amazon.com/images/M/MV5BMTM3NzQzMDA5Ml5BMl5BanBnXkFtZTcwODA5NTcyNw@@._V1_UY98_CR0,0,67,98_AL_.jpg",Detachment,2011,,98 min,Drama,7.7,A substitute teacher who drifts from classroom to classroom finds a connection to the students and teachers during his latest assignment.,52,Tony Kaye,Adrien Brody,Christina Hendricks,Marcia Gay Harden,Lucy Liu,77071,"71,177" +"https://m.media-amazon.com/images/M/MV5BMTM4NjY1MDQwMl5BMl5BanBnXkFtZTcwNTI3Njg3NA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Midnight in Paris,2011,PG-13,96 min,"Comedy, Fantasy, Romance",7.7,"While on a trip to Paris with his fiancée's family, a nostalgic screenwriter finds himself mysteriously going back to the 1920s every day at midnight.",81,Woody Allen,Owen Wilson,Rachel McAdams,Kathy Bates,Kurt Fuller,388089,"56,816,662" +"https://m.media-amazon.com/images/M/MV5BMTg4MDk1ODExN15BMl5BanBnXkFtZTgwNzIyNjg3MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Lego Movie,2014,U,100 min,"Animation, Action, Adventure",7.7,"An ordinary LEGO construction worker, thought to be the prophesied as ""special"", is recruited to join a quest to stop an evil tyrant from gluing the LEGO universe into eternal stasis.",83,Christopher Miller,Phil Lord,Chris Pratt,Will Ferrell,Elizabeth Banks,323982,"257,760,692" +"https://m.media-amazon.com/images/M/MV5BNjE5MzYwMzYxMF5BMl5BanBnXkFtZTcwOTk4MTk0OQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Gravity,2013,UA,91 min,"Drama, Sci-Fi, Thriller",7.7,Two astronauts work together to survive after an accident leaves them stranded in space.,96,Alfonso Cuarón,Sandra Bullock,George Clooney,Ed Harris,Orto Ignatiussen,769145,"274,092,705" +"https://m.media-amazon.com/images/M/MV5BMTk2NzczOTgxNF5BMl5BanBnXkFtZTcwODQ5ODczOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Star Trek Into Darkness,2013,UA,132 min,"Action, Adventure, Sci-Fi",7.7,"After the crew of the Enterprise find an unstoppable force of terror from within their own organization, Captain Kirk leads a manhunt to a war-zone world to capture a one-man weapon of mass destruction.",72,J.J. Abrams,Chris Pine,Zachary Quinto,Zoe Saldana,Benedict Cumberbatch,463188,"228,778,661" +"https://m.media-amazon.com/images/M/MV5BMTYwMzMzMDI0NF5BMl5BanBnXkFtZTgwNDQ3NjI3NjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Beasts of No Nation,2015,,137 min,"Drama, War",7.7,"A drama based on the experiences of Agu, a child soldier fighting in the civil war of an unnamed African country.",79,Cary Joji Fukunaga,Abraham Attah,Emmanuel Affadzi,Ricky Adelayitor,Andrew Adote,73964,"83,861" +"https://m.media-amazon.com/images/M/MV5BOGUyZDUxZjEtMmIzMC00MzlmLTg4MGItZWJmMzBhZjE0Mjc1XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",The Social Network,2010,UA,120 min,"Biography, Drama",7.7,"As Harvard student Mark Zuckerberg creates the social networking site that would become known as Facebook, he is sued by the twins who claimed he stole their idea, and by the co-founder who was later squeezed out of the business.",95,David Fincher,Jesse Eisenberg,Andrew Garfield,Justin Timberlake,Rooney Mara,624982,"96,962,694" +"https://m.media-amazon.com/images/M/MV5BMTg5OTMxNzk4Nl5BMl5BanBnXkFtZTcwOTk1MjAwNQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",X: First Class,2011,UA,131 min,"Action, Adventure, Sci-Fi",7.7,"In the 1960s, superpowered humans Charles Xavier and Erik Lensherr work together to find others like them, but Erik's vengeful pursuit of an ambitious mutant who ruined his life causes a schism to divide them.",65,Matthew Vaughn,James McAvoy,Michael Fassbender,Jennifer Lawrence,Kevin Bacon,645512,"146,408,305" +"https://m.media-amazon.com/images/M/MV5BNGQwZjg5YmYtY2VkNC00NzliLTljYTctNzI5NmU3MjE2ODQzXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Hangover,2009,UA,100 min,Comedy,7.7,"Three buddies wake up from a bachelor party in Las Vegas, with no memory of the previous night and the bachelor missing. They make their way around the city in order to find their friend before his wedding.",73,Todd Phillips,Zach Galifianakis,Bradley Cooper,Justin Bartha,Ed Helms,717559,"277,322,503" +"https://m.media-amazon.com/images/M/MV5BMWZiNjE2OWItMTkwNy00ZWQzLWI0NTgtMWE0NjNiYTljN2Q1XkEyXkFqcGdeQXVyNzAwMjYxMzA@._V1_UX67_CR0,0,67,98_AL_.jpg",Skyfall,2012,UA,143 min,"Action, Adventure, Thriller",7.7,"James Bond's loyalty to M is tested when her past comes back to haunt her. When MI6 comes under attack, 007 must track down and destroy the threat, no matter how personal the cost.",81,Sam Mendes,Daniel Craig,Javier Bardem,Naomie Harris,Judi Dench,630614,"304,360,277" +"https://m.media-amazon.com/images/M/MV5BMTM2MTI5NzA3MF5BMl5BanBnXkFtZTcwODExNTc0OA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Silver Linings Playbook,2012,A,122 min,"Comedy, Drama, Romance",7.7,"After a stint in a mental institution, former teacher Pat Solitano moves back in with his parents and tries to reconcile with his ex-wife. Things get more challenging when Pat meets Tiffany, a mysterious girl with problems of her own.",81,David O. Russell,Bradley Cooper,Jennifer Lawrence,Robert De Niro,Jacki Weaver,661871,"132,092,958" +"https://m.media-amazon.com/images/M/MV5BNzljNjY3MDYtYzc0Ni00YjU0LWIyNDUtNTE0ZDRiMGExMjZlXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Argo,2012,A,120 min,"Biography, Drama, Thriller",7.7,"Acting under the cover of a Hollywood producer scouting a location for a science fiction film, a CIA agent launches a dangerous operation to rescue six Americans in Tehran during the U.S. hostage crisis in Iran in 1979.",86,Ben Affleck,Ben Affleck,Bryan Cranston,John Goodman,Alan Arkin,572581,"136,025,503" +"https://m.media-amazon.com/images/M/MV5BMTk5MjM4OTU1OV5BMl5BanBnXkFtZTcwODkzNDIzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",(500) Days of Summer,2009,UA,95 min,"Comedy, Drama, Romance",7.7,"An offbeat romantic comedy about a woman who doesn't believe true love exists, and the young man who falls for her.",76,Marc Webb,Zooey Deschanel,Joseph Gordon-Levitt,Geoffrey Arend,Chloë Grace Moretz,472242,"32,391,374" +"https://m.media-amazon.com/images/M/MV5BMTQ2OTE1Mjk0N15BMl5BanBnXkFtZTcwODE3MDAwNA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Harry Potter and the Deathly Hallows: Part 1,2010,A,146 min,"Adventure, Family, Fantasy",7.7,"As Harry, Ron, and Hermione race against time and evil to destroy the Horcruxes, they uncover the existence of the three most powerful objects in the wizarding world: the Deathly Hallows.",65,David Yates,Daniel Radcliffe,Emma Watson,Rupert Grint,Bill Nighy,479120,"295,983,305" +"https://m.media-amazon.com/images/M/MV5BOTc3YmM3N2QtODZkMC00ZDE5LThjMTQtYTljN2Y1YTYwYWJkXkEyXkFqcGdeQXVyODEzNjM5OTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Gake no ue no Ponyo,2008,U,101 min,"Animation, Adventure, Comedy",7.7,"A five-year-old boy develops a relationship with Ponyo, a young goldfish princess who longs to become a human after falling in love with him.",86,Hayao Miyazaki,Cate Blanchett,Matt Damon,Liam Neeson,Tomoko Yamaguchi,125317,"15,090,400" +"https://m.media-amazon.com/images/M/MV5BOTY4NTU2NTU4NF5BMl5BanBnXkFtZTcwNjE0OTc5MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Frost/Nixon,2008,R,122 min,"Biography, Drama, History",7.7,A dramatic retelling of the post-Watergate television interviews between British talk-show host David Frost and former president Richard Nixon.,80,Ron Howard,Frank Langella,Michael Sheen,Kevin Bacon,Sam Rockwell,103330,"18,593,156" +"https://m.media-amazon.com/images/M/MV5BNDliMTMxOWEtODM3Yi00N2QwLTg4YTAtNTE5YzBlNTA2NjhlXkEyXkFqcGdeQXVyNjE5MjUyOTM@._V1_UX67_CR0,0,67,98_AL_.jpg",Papurika,2006,U,90 min,"Animation, Drama, Fantasy",7.7,"When a machine that allows therapists to enter their patients' dreams is stolen, all Hell breaks loose. Only a young female therapist, Paprika, can stop it.",81,Satoshi Kon,Megumi Hayashibara,Tôru Emori,Katsunosuke Hori,Tôru Furuya,71379,"881,302" +"https://m.media-amazon.com/images/M/MV5BOTA1Mzg3NjIxNV5BMl5BanBnXkFtZTcwNzU2NTc5MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Changeling,2008,R,141 min,"Biography, Crime, Drama",7.7,Grief-stricken mother Christine Collins (Angelina Jolie) takes on the L.A.P.D. to her own detriment when it tries to pass off an obvious impostor as her missing child.,63,Clint Eastwood,Angelina Jolie,Colm Feore,Amy Ryan,Gattlin Griffith,239203,"35,739,802" +"https://m.media-amazon.com/images/M/MV5BMTU2NjQ1Nzc4MF5BMl5BanBnXkFtZTcwNTM0NDk1Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Flipped,2010,PG,90 min,"Comedy, Drama, Romance",7.7,Two eighth-graders start to have feelings for each other despite being total opposites.,45,Rob Reiner,Madeline Carroll,Callan McAuliffe,Rebecca De Mornay,Anthony Edwards,81446,"1,752,214" +"https://m.media-amazon.com/images/M/MV5BMzA4ZGM1NjYtMjcxYS00MTdiLWJmNzEtMTUzODY0NDQ0YzUzXkEyXkFqcGdeQXVyMzYwMjQ3OTI@._V1_UY98_CR1,0,67,98_AL_.jpg",Toki o kakeru shôjo,2006,U,98 min,"Animation, Adventure, Comedy",7.7,"A high-school girl named Makoto acquires the power to travel back in time, and decides to use it for her own personal benefits. Little does she know that she is affecting the lives of others just as much as she is her own.",,Mamoru Hosoda,Riisa Naka,Takuya Ishida,Mitsutaka Itakura,Ayami Kakiuchi,60368, +"https://m.media-amazon.com/images/M/MV5BZDNlNjEzMzQtZDM0MS00YzhiLTk0MGUtYTdmNDZiZGVjNTk0L2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",Death Note: Desu nôto,2006,,126 min,"Crime, Drama, Fantasy",7.7,"A battle between the world's two greatest minds begins when Light Yagami finds the Death Note, a notebook with the power to kill, and decides to rid the world of criminals.",,Shûsuke Kaneko,Tatsuya Fujiwara,Ken'ichi Matsuyama,Asaka Seto,Yû Kashii,28630, +"https://m.media-amazon.com/images/M/MV5BMmE3OWZhZDYtOTBjMi00NDIwLTg1NWMtMjg0NjJmZWM4MjliL2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",This Is England,2006,,101 min,"Crime, Drama",7.7,"A young boy becomes friends with a gang of skinheads. Friends soon become like family, and relationships will be pushed to the very limit.",86,Shane Meadows,Thomas Turgoose,Stephen Graham,Jo Hartley,Andrew Shim,115576,"327,919" +"https://m.media-amazon.com/images/M/MV5BMTUxNzc0OTIxMV5BMl5BanBnXkFtZTgwNDI3NzU2NDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Ex Machina,2014,UA,108 min,"Drama, Sci-Fi, Thriller",7.7,A young programmer is selected to participate in a ground-breaking experiment in synthetic intelligence by evaluating the human qualities of a highly advanced humanoid A.I.,78,Alex Garland,Alicia Vikander,Domhnall Gleeson,Oscar Isaac,Sonoya Mizuno,474141,"25,442,958" +"https://m.media-amazon.com/images/M/MV5BMjIxODEyOTQ5Ml5BMl5BanBnXkFtZTcwNjE3NzI5Mw@@._V1_UY98_CR1,0,67,98_AL_.jpg",Efter brylluppet,2006,R,120 min,Drama,7.7,"A manager of an orphanage in India is sent to Copenhagen, Denmark, where he discovers a life-altering family secret.",78,Susanne Bier,Mads Mikkelsen,Sidse Babett Knudsen,Rolf Lassgård,Neeral Mulchandani,32001,"412,544" +"https://m.media-amazon.com/images/M/MV5BMjM1NTkxNjkzMl5BMl5BanBnXkFtZTgwNDgwMDAxMzE@._V1_UY98_CR1,0,67,98_AL_.jpg",The Last King of Scotland,2006,R,123 min,"Biography, Drama, History",7.7,Based on the events of the brutal Ugandan dictator Idi Amin's regime as seen by his personal physician during the 1970s.,74,Kevin Macdonald,James McAvoy,Forest Whitaker,Gillian Anderson,Kerry Washington,175355,"17,605,861" +"https://m.media-amazon.com/images/M/MV5BN2UwNDc5NmEtNjVjZS00OTI5LWE5YjctMWM3ZjBiZGYwMGI2XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Zodiac,2007,UA,157 min,"Crime, Drama, Mystery",7.7,"In the late 1960s/early 1970s, a San Francisco cartoonist becomes an amateur detective obsessed with tracking down the Zodiac Killer, an unidentified individual who terrorizes Northern California with a killing spree.",78,David Fincher,Jake Gyllenhaal,Robert Downey Jr.,Mark Ruffalo,Anthony Edwards,466080,"33,080,084" +"https://m.media-amazon.com/images/M/MV5BZjczMWI1YWMtYTZjOS00ZDc5LWE2MWItMTY3ZGUxNzFkNjJmL2ltYWdlXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Lucky Number Slevin,2006,R,110 min,"Action, Crime, Drama",7.7,"A case of mistaken identity lands Slevin into the middle of a war being plotted by two of the city's most rival crime bosses. Under constant surveillance by Detective Brikowski and assassin Goodkat, he must get them before they get him.",53,Paul McGuigan,Josh Hartnett,Ben Kingsley,Morgan Freeman,Lucy Liu,299524,"22,494,487" +"https://m.media-amazon.com/images/M/MV5BMTQyODczNjU3NF5BMl5BanBnXkFtZTcwNjQ0NDIzMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Joyeux Noël,2005,PG-13,116 min,"Drama, History, Music",7.7,"In December 1914, an unofficial Christmas truce on the Western Front allows soldiers from opposing sides of the First World War to gain insight into each other's way of life.",70,Christian Carion,Diane Kruger,Benno Fürmann,Guillaume Canet,Natalie Dessay,28003,"1,054,361" +"https://m.media-amazon.com/images/M/MV5BNTEzOTYwMTcxN15BMl5BanBnXkFtZTcwNTgyNjI1MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Control,2007,R,122 min,"Biography, Drama, Music",7.7,"A profile of Ian Curtis, the enigmatic singer of Joy Division whose personal, professional, and romantic troubles led him to commit suicide at the age of 23.",78,Anton Corbijn,Sam Riley,Samantha Morton,Craig Parkinson,Alexandra Maria Lara,61609,"871,577" +"https://m.media-amazon.com/images/M/MV5BMTAxNDYxMjg0MjNeQTJeQWpwZ15BbWU3MDcyNTk2OTM@._V1_UX67_CR0,0,67,98_AL_.jpg",Tangled,2010,U,100 min,"Animation, Adventure, Comedy",7.7,"The magically long-haired Rapunzel has spent her entire life in a tower, but now that a runaway thief has stumbled upon her, she is about to discover the world for the first time, and who she really is.",71,Nathan Greno,Byron Howard,Mandy Moore,Zachary Levi,Donna Murphy,405922,"200,821,936" +"https://m.media-amazon.com/images/M/MV5BODFlNTI0ZWQtOTcxNC00OTc0LTkwZDUtMmNkM2I1ZWFlYzZkXkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UY98_CR2,0,67,98_AL_.jpg",Zwartboek,2006,R,145 min,"Drama, Thriller, War",7.7,"In the Nazi-occupied Netherlands during World War II, a Jewish singer infiltrates the regional Gestapo headquarters for the Dutch resistance.",71,Paul Verhoeven,Carice van Houten,Sebastian Koch,Thom Hoffman,Halina Reijn,72643,"4,398,392" +"https://m.media-amazon.com/images/M/MV5BMTY5NTAzNTc1NF5BMl5BanBnXkFtZTYwNDY4MDc3._V1_UX67_CR0,0,67,98_AL_.jpg",Brokeback Mountain,2005,A,134 min,"Drama, Romance",7.7,"The story of a forbidden and secretive relationship between two cowboys, and their lives over the years.",87,Ang Lee,Jake Gyllenhaal,Heath Ledger,Michelle Williams,Randy Quaid,323103,"83,043,761" +"https://m.media-amazon.com/images/M/MV5BODE0NTcxNTQzNF5BMl5BanBnXkFtZTcwMzczOTIzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",3:10 to Yuma,2007,A,122 min,"Action, Crime, Drama",7.7,A small-time rancher agrees to hold a captured outlaw who's awaiting a train to go to court in Yuma. A battle of wills ensues as the outlaw tries to psych out the rancher.,76,James Mangold,Russell Crowe,Christian Bale,Ben Foster,Logan Lerman,288797,"53,606,916" +"https://m.media-amazon.com/images/M/MV5BOTk1OTA1MjIyNV5BMl5BanBnXkFtZTcwODQxMTkyMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Crash,2004,UA,112 min,"Crime, Drama, Thriller",7.7,"Los Angeles citizens with vastly separate lives collide in interweaving stories of race, loss and redemption.",66,Paul Haggis,Don Cheadle,Sandra Bullock,Thandie Newton,Karina Arroyave,419483,"54,580,300" +"https://m.media-amazon.com/images/M/MV5BMjZiOTNlMzYtZWYwZS00YWJjLTk5NDgtODkwNjRhMDI0MjhjXkEyXkFqcGdeQXVyMjgyNjk3MzE@._V1_UY98_CR1,0,67,98_AL_.jpg",Kung fu,2004,UA,99 min,"Action, Comedy, Fantasy",7.7,"In Shanghai, China in the 1940s, a wannabe gangster aspires to join the notorious ""Axe Gang"" while residents of a housing complex exhibit extraordinary powers in defending their turf.",78,Stephen Chow,Stephen Chow,Wah Yuen,Qiu Yuen,Siu-Lung Leung,127250,"17,108,591" +"https://m.media-amazon.com/images/M/MV5BYTIyMDFmMmItMWQzYy00MjBiLTg2M2UtM2JiNDRhOWE4NjBhXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Bourne Supremacy,2004,A,108 min,"Action, Mystery, Thriller",7.7,"When Jason Bourne is framed for a CIA operation gone awry, he is forced to resume his former life as a trained assassin to survive.",73,Paul Greengrass,Matt Damon,Franka Potente,Joan Allen,Brian Cox,434841,"176,241,941" +"https://m.media-amazon.com/images/M/MV5BNjk1NzBlY2YtNjJmNi00YTVmLWI2OTgtNDUxNDE5NjUzZmE0XkEyXkFqcGdeQXVyNTc1NTQxODI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Machinist,2004,R,101 min,"Drama, Thriller",7.7,An industrial worker who hasn't slept in a year begins to doubt his own sanity.,61,Brad Anderson,Christian Bale,Jennifer Jason Leigh,Aitana Sánchez-Gijón,John Sharian,358432,"1,082,715" +"https://m.media-amazon.com/images/M/MV5BMTQxNDQwNjQzOV5BMl5BanBnXkFtZTcwNTQxNDYyMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Ray,2004,A,152 min,"Biography, Drama, Music",7.7,"The story of the life and career of the legendary rhythm and blues musician Ray Charles, from his humble beginnings in the South, where he went blind at age seven, to his meteoric rise to stardom during the 1950s and 1960s.",73,Taylor Hackford,Jamie Foxx,Regina King,Kerry Washington,Clifton Powell,138356,"75,331,600" +"https://m.media-amazon.com/images/M/MV5BMTI2NDI5ODk4N15BMl5BanBnXkFtZTYwMTI3NTE3._V1_UX67_CR0,0,67,98_AL_.jpg",Lost in Translation,2003,UA,102 min,"Comedy, Drama",7.7,A faded movie star and a neglected young woman form an unlikely bond after crossing paths in Tokyo.,89,Sofia Coppola,Bill Murray,Scarlett Johansson,Giovanni Ribisi,Anna Faris,415074,"44,585,453" +"https://m.media-amazon.com/images/M/MV5BMTI1NDMyMjExOF5BMl5BanBnXkFtZTcwOTc4MjQzMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Harry Potter and the Goblet of Fire,2005,UA,157 min,"Adventure, Family, Fantasy",7.7,"Harry Potter finds himself competing in a hazardous tournament between rival schools of magic, but he is distracted by recurring nightmares.",81,Mike Newell,Daniel Radcliffe,Emma Watson,Rupert Grint,Eric Sykes,548619,"290,013,036" +"https://m.media-amazon.com/images/M/MV5BODFlMmEwMDgtYjhmZi00ZTE5LTk2NWQtMWE1Y2M0NjkzOGYxXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Man on Fire,2004,UA,146 min,"Action, Crime, Drama",7.7,"In Mexico City, a former CIA operative swears vengeance on those who committed an unspeakable act against the family he was hired to protect.",47,Tony Scott,Denzel Washington,Christopher Walken,Dakota Fanning,Radha Mitchell,329592,"77,911,774" +"https://m.media-amazon.com/images/M/MV5BMzQxNjM5NzkxNV5BMl5BanBnXkFtZTcwMzg5NDMwMg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Coraline,2009,U,100 min,"Animation, Drama, Family",7.7,"An adventurous 11-year-old girl finds another world that is a strangely idealized version of her frustrating home, but it has sinister secrets.",80,Henry Selick,Dakota Fanning,Teri Hatcher,John Hodgman,Jennifer Saunders,197761,"75,286,229" +"https://m.media-amazon.com/images/M/MV5BMzkyNzQ1Mzc0NV5BMl5BanBnXkFtZTcwODg3MzUzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Last Samurai,2003,UA,154 min,"Action, Drama",7.7,An American military advisor embraces the Samurai culture he was hired to destroy after he is captured in battle.,55,Edward Zwick,Tom Cruise,Ken Watanabe,Billy Connolly,William Atherton,400049,"111,110,575" +"https://m.media-amazon.com/images/M/MV5BMTI2NzU1NTc1NF5BMl5BanBnXkFtZTcwOTQ1MjAwMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Magdalene Sisters,2002,R,114 min,Drama,7.7,Three young Irish women struggle to maintain their spirits while they endure dehumanizing abuse as inmates of a Magdalene Sisters Asylum.,83,Peter Mullan,Eileen Walsh,Dorothy Duffy,Nora-Jane Noone,Anne-Marie Duff,25938,"4,890,878" +"https://m.media-amazon.com/images/M/MV5BMTI0MTg4NzI3M15BMl5BanBnXkFtZTcwOTE0MTUyMQ@@._V1_UY98_CR0,0,67,98_AL_.jpg",Good Bye Lenin!,2003,R,121 min,"Comedy, Drama, Romance",7.7,"In 1990, to protect his fragile mother from a fatal shock after a long coma, a young man must keep her from learning that her beloved nation of East Germany as she knew it has disappeared.",68,Wolfgang Becker,Daniel Brühl,Katrin Saß,Chulpan Khamatova,Florian Lukas,137981,"4,064,200" +"https://m.media-amazon.com/images/M/MV5BOGY1YmUzN2MtNDQ3NC00Nzc4LWI5M2EtYzUwMGQ4NWM4NjE1XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UY98_CR0,0,67,98_AL_.jpg",In America,2002,PG-13,105 min,Drama,7.7,A family of Irish immigrants adjust to life on the mean streets of Hell's Kitchen while also grieving the death of a child.,76,Jim Sheridan,Paddy Considine,Samantha Morton,Djimon Hounsou,Sarah Bolger,40403,"15,539,266" +"https://m.media-amazon.com/images/M/MV5BYzEyNzc0NjctZjJiZC00MWI1LWJlOTMtYWZkZDAzNzQ0ZDNkXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",I Am Sam,2001,PG-13,132 min,Drama,7.7,A mentally handicapped man fights for custody of his 7-year-old daughter and in the process teaches his cold-hearted lawyer the value of love and family.,28,Jessie Nelson,Sean Penn,Michelle Pfeiffer,Dakota Fanning,Dianne Wiest,142863,"40,311,852" +"https://m.media-amazon.com/images/M/MV5BZjIwZWU0ZDItNzBlNS00MDIwLWFlZjctZTJjODdjZWYxNzczL2ltYWdlXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Adaptation.,2002,R,115 min,"Comedy, Drama",7.7,A lovelorn screenwriter becomes desperate as he tries and fails to adapt 'The Orchid Thief' by Susan Orlean for the screen.,83,Spike Jonze,Nicolas Cage,Meryl Streep,Chris Cooper,Tilda Swinton,178565,"22,245,861" +"https://m.media-amazon.com/images/M/MV5BYWMwMzQxZjQtODM1YS00YmFiLTk1YjQtNzNiYWY1MDE4NTdiXkEyXkFqcGdeQXVyNDYyMDk5MTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Black Hawk Down,2001,A,144 min,"Drama, History, War",7.7,160 elite U.S. soldiers drop into Somalia to capture two top lieutenants of a renegade warlord and find themselves in a desperate battle with a large force of heavily-armed Somalis.,74,Ridley Scott,Josh Hartnett,Ewan McGregor,Tom Sizemore,Eric Bana,364254,"108,638,745" +"https://m.media-amazon.com/images/M/MV5BNjcxMmQ0MmItYTkzYy00MmUyLTlhOTQtMmJmNjE3MDMwYjdlXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Road to Perdition,2002,A,117 min,"Crime, Drama, Thriller",7.7,"A mob enforcer's son witnesses a murder, forcing him and his father to take to the road, and his father down a path of redemption and revenge.",72,Sam Mendes,Tom Hanks,Tyler Hoechlin,Rob Maxey,Liam Aiken,246840,"104,454,762" +"https://m.media-amazon.com/images/M/MV5BNThiMDc1YjUtYmE3Zi00MTM1LTkzM2MtNjdlNzQ4ZDlmYjRmXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UY98_CR1,0,67,98_AL_.jpg",Das Experiment,2001,R,120 min,"Drama, Thriller",7.7,"For two weeks, 20 male participants are hired to play prisoners and guards in a prison. The ""prisoners"" have to follow seemingly mild rules, and the ""guards"" are told to retain order without using physical violence.",60,Oliver Hirschbiegel,Moritz Bleibtreu,Christian Berkel,Oliver Stokowski,Wotan Wilke Möhring,90842,"141,072" +"https://m.media-amazon.com/images/M/MV5BNGY3NWYwNzctNWU5Yi00ZjljLTgyNDgtZjNhZjRlNjc0ZTU1XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Billy Elliot,2000,R,110 min,"Drama, Music",7.7,A talented young boy becomes torn between his unexpected love of dance and the disintegration of his family.,74,Stephen Daldry,Jamie Bell,Julie Walters,Jean Heywood,Jamie Draven,126770,"21,995,263" +"https://m.media-amazon.com/images/M/MV5BZGY5NWUyNDUtZWJhZi00ZjMxLWFmMjMtYmJhZjVkZGZhNWQ4XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Hedwig and the Angry Inch,2001,R,95 min,"Comedy, Drama, Music",7.7,A gender-queer punk-rock singer from East Berlin tours the U.S. with her band as she tells her life story and follows the former lover/band-mate who stole her songs.,85,John Cameron Mitchell,John Cameron Mitchell,Miriam Shor,Stephen Trask,Theodore Liscinski,31957,"3,029,081" +"https://m.media-amazon.com/images/M/MV5BYzVmYzVkMmUtOGRhMi00MTNmLThlMmUtZTljYjlkMjNkMjJkXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Ocean's Eleven,2001,UA,116 min,"Crime, Thriller",7.7,Danny Ocean and his ten accomplices plan to rob three Las Vegas casinos simultaneously.,74,Steven Soderbergh,George Clooney,Brad Pitt,Julia Roberts,Matt Damon,516372,"183,417,150" +"https://m.media-amazon.com/images/M/MV5BNTIyNThlMjMtMzUyMi00YmEyLTljMmYtMWRhN2Q3ZTllZjA4XkEyXkFqcGdeQXVyMzM4MjM0Nzg@._V1_UY98_CR1,0,67,98_AL_.jpg",Vampire Hunter D: Bloodlust,2000,U,103 min,"Animation, Action, Fantasy",7.7,"When a girl is abducted by a vampire, a legendary bounty hunter is hired to bring her back.",62,Yoshiaki Kawajiri,Andrew Philpot,John Rafter Lee,Pamela Adlon,Wendee Lee,29210,"151,086" +"https://m.media-amazon.com/images/M/MV5BMjZkOTdmMWItOTkyNy00MDdjLTlhNTQtYzU3MzdhZjA0ZDEyXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg","O Brother, Where Art Thou?",2000,U,107 min,"Adventure, Comedy, Crime",7.7,"In the deep south during the 1930s, three escaped convicts search for hidden treasure while a relentless lawman pursues them.",69,Joel Coen,Ethan Coen,George Clooney,John Turturro,Tim Blake Nelson,286742,"45,512,588" +"https://m.media-amazon.com/images/M/MV5BZDYwYzlhOTAtNDAwMC00ZTBhLWI4M2QtMTA1NmJhYTdiNTkxXkEyXkFqcGdeQXVyNTM0NTU5Mg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Interstate 60: Episodes of the Road,2002,R,116 min,"Adventure, Comedy, Drama",7.7,"Neal Oliver, a very confused young man and an artist, takes a journey of a lifetime on a highway I60 that doesn't exist on any of the maps, going to the places he never even heard of, searching for an answer and his dreamgirl.",,Bob Gale,James Marsden,Gary Oldman,Kurt Russell,Matthew Edison,29999, +"https://m.media-amazon.com/images/M/MV5BOGE0ZWI0YzAtY2NkZi00YjkyLWIzYWEtNTJmMzJjODllNjdjXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg","South Park: Bigger, Longer & Uncut",1999,A,81 min,"Animation, Comedy, Fantasy",7.7,"When Stan Marsh and his friends go see an R-rated movie, they start cursing and their parents think that Canada is to blame.",73,Trey Parker,Trey Parker,Matt Stone,Mary Kay Bergman,Isaac Hayes,192112,"52,037,603" +"https://m.media-amazon.com/images/M/MV5BOTA5MzQ3MzI1NV5BMl5BanBnXkFtZTgwNTcxNTYxMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Office Space,1999,R,89 min,Comedy,7.7,Three company workers who hate their jobs decide to rebel against their greedy boss.,68,Mike Judge,Ron Livingston,Jennifer Aniston,David Herman,Ajay Naidu,241575,"10,824,921" +"https://m.media-amazon.com/images/M/MV5BM2FlNzE0ZmUtMmVkZS00MWQ3LWE4OWQtYjQwZjdhNzRmNWE2XkEyXkFqcGdeQXVyMTAwMzUyOTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Happiness,1998,,134 min,"Comedy, Drama",7.7,"The lives of several individuals intertwine as they go about their lives in their own unique ways, engaging in acts society as a whole might find disturbing in a desperate search for human connection.",81,Todd Solondz,Jane Adams,Jon Lovitz,Philip Seymour Hoffman,Dylan Baker,66408,"2,807,390" +"https://m.media-amazon.com/images/M/MV5BMDZkMTUxYWEtMDY5NS00ZTA5LTg3MTItNTlkZWE1YWRjYjMwL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Training Day,2001,A,122 min,"Crime, Drama, Thriller",7.7,A rookie cop spends his first day as a Los Angeles narcotics officer with a rogue detective who isn't what he appears to be.,69,Antoine Fuqua,Denzel Washington,Ethan Hawke,Scott Glenn,Tom Berenger,390247,"76,631,907" +"https://m.media-amazon.com/images/M/MV5BMjE2OTc3OTk2M15BMl5BanBnXkFtZTgwMjg2NjIyMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Rushmore,1998,UA,93 min,"Comedy, Drama, Romance",7.7,The extracurricular king of Rushmore Preparatory School is put on academic probation.,86,Wes Anderson,Jason Schwartzman,Bill Murray,Olivia Williams,Seymour Cassel,169229,"17,105,219" +"https://m.media-amazon.com/images/M/MV5BYjA2MTA1MjUtYmUyNy00NGZiLTk2NTAtMDk3N2M3YmMwOTc1XkEyXkFqcGdeQXVyMjA0MzYwMDY@._V1_UY98_CR0,0,67,98_AL_.jpg",Abre los ojos,1997,U,119 min,"Drama, Mystery, Sci-Fi",7.7,"A very handsome man finds the love of his life, but he suffers an accident and needs to have his face rebuilt by surgery after it is severely disfigured.",,Alejandro Amenábar,Eduardo Noriega,Penélope Cruz,Chete Lera,Fele Martínez,64082,"368,234" +"https://m.media-amazon.com/images/M/MV5BYmUxY2MyOTQtYjRlMi00ZWEwLTkzODctZDMxNDcyNTFhYjNjXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UY98_CR1,0,67,98_AL_.jpg",Being John Malkovich,1999,R,113 min,"Comedy, Drama, Fantasy",7.7,A puppeteer discovers a portal that leads literally into the head of movie star John Malkovich.,90,Spike Jonze,John Cusack,Cameron Diaz,Catherine Keener,John Malkovich,312542,"22,858,926" +"https://m.media-amazon.com/images/M/MV5BNWMxZTgzMWEtMTU0Zi00NDc5LWFkZjctMzUxNDIyNzZiMmNjXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",As Good as It Gets,1997,A,139 min,"Comedy, Drama, Romance",7.7,"A single mother and waitress, a misanthropic author, and a gay artist form an unlikely friendship after the artist is assaulted in a robbery.",67,James L. Brooks,Jack Nicholson,Helen Hunt,Greg Kinnear,Cuba Gooding Jr.,275755,"148,478,011" +"https://m.media-amazon.com/images/M/MV5BZWFjYmZmZGQtYzg4YS00ZGE5LTgwYzAtZmQwZjQ2NDliMGVmXkEyXkFqcGdeQXVyNTUyMzE4Mzg@._V1_UY98_CR0,0,67,98_AL_.jpg",The Fifth Element,1997,UA,126 min,"Action, Adventure, Sci-Fi",7.7,"In the colorful future, a cab driver unwittingly becomes the central figure in the search for a legendary cosmic weapon to keep Evil and Mr. Zorg at bay.",52,Luc Besson,Bruce Willis,Milla Jovovich,Gary Oldman,Ian Holm,434125,"63,540,020" +"https://m.media-amazon.com/images/M/MV5BZjFkOWM5NDUtODYwOS00ZDg0LWFkZGUtYzBkYzNjZjU3ODE3XkEyXkFqcGdeQXVyNzQzNzQxNzI@._V1_UX67_CR0,0,67,98_AL_.jpg",Le dîner de cons,1998,PG-13,80 min,Comedy,7.7,"A few friends have a weekly fools' dinner, where each brings a fool along. Pierre finds a champion fool for next dinner. Surprise.",73,Francis Veber,Thierry Lhermitte,Jacques Villeret,Francis Huster,Daniel Prévost,37424,"4,065,116" +"https://m.media-amazon.com/images/M/MV5BYzMzMDZkYWEtODIzNS00YjI3LTkxNTktOWEyZGM3ZWI2MWM4XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Donnie Brasco,1997,A,127 min,"Biography, Crime, Drama",7.7,"An FBI undercover agent infiltrates the mob and finds himself identifying more with the mafia life, at the expense of his regular one.",76,Mike Newell,Al Pacino,Johnny Depp,Michael Madsen,Bruno Kirby,279318,"41,909,762" +"https://m.media-amazon.com/images/M/MV5BMTQzMzcxMzUyMl5BMl5BanBnXkFtZTgwNDI1MjgxMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Shine,1996,U,105 min,"Biography, Drama, Music",7.7,"Pianist David Helfgott, driven by his father and teachers, has a breakdown. Years later he returns to the piano, to popular if not critical acclaim.",87,Scott Hicks,Geoffrey Rush,Armin Mueller-Stahl,Justin Braine,Sonia Todd,51350,"35,811,509" +"https://m.media-amazon.com/images/M/MV5BZTM2NWI2OGYtYWNhMi00ZTlmLTg2ZTAtMmI5NWRjODA5YTE1XkEyXkFqcGdeQXVyODE2OTYwNTg@._V1_UX67_CR0,0,67,98_AL_.jpg",Primal Fear,1996,A,129 min,"Crime, Drama, Mystery",7.7,"An altar boy is accused of murdering a priest, and the truth is buried several layers deep.",47,Gregory Hoblit,Richard Gere,Laura Linney,Edward Norton,John Mahoney,189716,"56,116,183" +"https://m.media-amazon.com/images/M/MV5BM2U5OWM5NWQtZDYwZS00NmI3LTk4NDktNzcwZjYzNmEzYWU1XkEyXkFqcGdeQXVyNjMwMjk0MTQ@._V1_UY98_CR0,0,67,98_AL_.jpg",Hamlet,1996,PG-13,242 min,Drama,7.7,"Hamlet, Prince of Denmark, returns home to find his father murdered and his mother remarrying the murderer, his uncle. Meanwhile, war is brewing.",,Kenneth Branagh,Kenneth Branagh,Julie Christie,Derek Jacobi,Kate Winslet,35991,"4,414,535" +"https://m.media-amazon.com/images/M/MV5BZDQzMGE5ODYtZDdiNC00MzZjLTg2NjAtZTk0ODlkYmY4MTQzXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",A Little Princess,1995,U,97 min,"Drama, Family, Fantasy",7.7,A young girl is relegated to servitude at a boarding school when her father goes missing and is presumed dead.,83,Alfonso Cuarón,Liesel Matthews,Eleanor Bron,Liam Cunningham,Rusty Schwimmer,32236,"10,019,307" +"https://m.media-amazon.com/images/M/MV5BZjM4NWRhYTQtYTJlNC00ZmMyLWEzNTAtZDA2MjJjYTQ5ZTVmXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Do lok tin si,1995,UA,99 min,"Comedy, Crime, Drama",7.7,"This Hong Kong-set crime drama follows the lives of a hitman, hoping to get out of the business, and his elusive female partner.",71,Kar-Wai Wong,Leon Lai,Michelle Reis,Takeshi Kaneshiro,Charlie Yeung,26429, +"https://m.media-amazon.com/images/M/MV5BZmVhNWIzOTMtYmVlZC00ZDVmLWIyODEtODEzOTAxYjAwMzVlXkEyXkFqcGdeQXVyMzIwNDY4NDI@._V1_UY98_CR1,0,67,98_AL_.jpg",Il postino,1994,U,108 min,"Biography, Comedy, Drama",7.7,"A simple Italian postman learns to love poetry while delivering mail to a famous poet, and then uses this to woo local beauty Beatrice.",81,Michael Radford,Massimo Troisi,Massimo Troisi,Philippe Noiret,Maria Grazia Cucinotta,33600,"21,848,932" +"https://m.media-amazon.com/images/M/MV5BNzE1Njk0NmItNDhlMC00ZmFlLWI4ZTUtYTY4ZjgzNjkyMTU1XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Clerks,1994,R,92 min,Comedy,7.7,"A day in the lives of two convenience clerks named Dante and Randal as they annoy customers, discuss movies, and play hockey on the store roof.",70,Kevin Smith,Brian O'Halloran,Jeff Anderson,Marilyn Ghigliotti,Lisa Spoonauer,211450,"3,151,130" +"https://m.media-amazon.com/images/M/MV5BZWY0ODc2NDktYmYxNS00MGZiLTk5YjktZjgwZWFhNDQ0MzNhXkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",Short Cuts,1993,R,188 min,"Comedy, Drama",7.7,The day-to-day lives of several suburban Los Angeles residents.,79,Robert Altman,Andie MacDowell,Julianne Moore,Tim Robbins,Bruce Davison,42275,"6,110,979" +"https://m.media-amazon.com/images/M/MV5BNDE0MWE1ZTMtOWFkMS00YjdiLTkwZTItMDljYjY3MjM0NTk5XkEyXkFqcGdeQXVyNDYyMDk5MTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Philadelphia,1993,UA,125 min,Drama,7.7,"When a man with HIV is fired by his law firm because of his condition, he hires a homophobic small time lawyer as the only willing advocate for a wrongful dismissal suit.",66,Jonathan Demme,Tom Hanks,Denzel Washington,Roberta Maxwell,Buzz Kilman,224169,"77,324,422" +"https://m.media-amazon.com/images/M/MV5BN2Y0NWRkNWItZWEwNi00MDNlLWJmZDYtNTkwYzI5Nzg4MjVjXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",The Muppet Christmas Carol,1992,G,85 min,"Comedy, Drama, Family",7.7,The Muppet characters tell their version of the classic tale of an old and bitter miser's redemption on Christmas Eve.,64,Brian Henson,Michael Caine,Kermit the Frog,Dave Goelz,Miss Piggy,50298,"27,281,507" +"https://m.media-amazon.com/images/M/MV5BZDkzOTFmMTUtMmI2OS00MDE4LTg5YTUtODMwNDMzNmI5OGYwL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UY98_CR3,0,67,98_AL_.jpg",Malcolm X,1992,U,202 min,"Biography, Drama, History",7.7,"Biographical epic of the controversial and influential Black Nationalist leader, from his early life and career as a small-time gangster, to his ministry as a member of the Nation of Islam.",73,Spike Lee,Denzel Washington,Angela Bassett,Delroy Lindo,Spike Lee,85819,"48,169,908" +"https://m.media-amazon.com/images/M/MV5BZDNiYmRkNDYtOWU1NC00NmMxLWFkNmUtMGI5NTJjOTJmYTM5XkEyXkFqcGdeQXVyNzQ1ODk3MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",The Last of the Mohicans,1992,UA,112 min,"Action, Adventure, Drama",7.7,Three trappers protect the daughters of a British Colonel in the midst of the French and Indian War.,76,Michael Mann,Daniel Day-Lewis,Madeleine Stowe,Russell Means,Eric Schweig,150409,"75,505,856" +"https://m.media-amazon.com/images/M/MV5BZjVkYmFkZWQtZmNjYy00NmFhLTliMWYtNThlOTUxNjg5ODdhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR4,0,67,98_AL_.jpg",Kurenai no buta,1992,U,94 min,"Animation, Adventure, Comedy",7.7,"In 1930s Italy, a veteran World War I pilot is cursed to look like an anthropomorphic pig.",83,Hayao Miyazaki,Shûichirô Moriyama,Tokiko Katô,Bunshi Katsura Vi,Tsunehiko Kamijô,77798, +"https://m.media-amazon.com/images/M/MV5BNTYzN2MxODMtMDBhOC00Y2M0LTgzMTItMzQ4NDIyYWIwMDEzL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNTc1NTQxODI@._V1_UX67_CR0,0,67,98_AL_.jpg",Glengarry Glen Ross,1992,R,100 min,"Crime, Drama, Mystery",7.7,An examination of the machinations behind the scenes at a real estate office.,82,James Foley,Al Pacino,Jack Lemmon,Alec Baldwin,Alan Arkin,95826,"10,725,228" +"https://m.media-amazon.com/images/M/MV5BMmRlZDQ1MmUtMzE2Yi00YTkxLTk1MGMtYmIyYWQwODcxYzRlXkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",A Few Good Men,1992,U,138 min,"Drama, Thriller",7.7,Military lawyer Lieutenant Daniel Kaffee defends Marines accused of murder. They contend they were acting under orders.,62,Rob Reiner,Tom Cruise,Jack Nicholson,Demi Moore,Kevin Bacon,235388,"141,340,178" +"https://m.media-amazon.com/images/M/MV5BOWQ1ZWE0MTQtMmEwOS00YjA3LTgyZTAtNjY5ODEyZTJjNDI2XkEyXkFqcGdeQXVyNjE5MjUyOTM@._V1_UX67_CR0,0,67,98_AL_.jpg",Fried Green Tomatoes,1991,PG-13,130 min,Drama,7.7,A housewife who is unhappy with her life befriends an old lady in a nursing home and is enthralled by the tales she tells of people she used to know.,64,Jon Avnet,Kathy Bates,Jessica Tandy,Mary Stuart Masterson,Mary-Louise Parker,66941,"82,418,501" +"https://m.media-amazon.com/images/M/MV5BMTgxMDMxMTctNDY0Zi00ZmNlLWFlYmQtODA2YjY4MDk4MjU1XkEyXkFqcGdeQXVyNTc1NTQxODI@._V1_UX67_CR0,0,67,98_AL_.jpg",Barton Fink,1991,U,116 min,"Comedy, Drama, Thriller",7.7,A renowned New York playwright is enticed to California to write for the movies and discovers the hellish truth of Hollywood.,69,Joel Coen,Ethan Coen,John Turturro,John Goodman,Judy Davis,113240,"6,153,939" +"https://m.media-amazon.com/images/M/MV5BMTY2Njk3MTAzM15BMl5BanBnXkFtZTgwMTY5Mzk4NjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Miller's Crossing,1990,R,115 min,"Crime, Drama, Thriller",7.7,"Tom Reagan, an advisor to a Prohibition-era crime boss, tries to keep the peace between warring mobs but gets caught in divided loyalties.",66,Joel Coen,Ethan Coen,Gabriel Byrne,Albert Finney,John Turturro,125822,"5,080,409" +"https://m.media-amazon.com/images/M/MV5BMDhiOTM2OTctODk3Ny00NWI4LThhZDgtNGQ4NjRiYjFkZGQzXkEyXkFqcGdeQXVyMTA0MjU0Ng@@._V1_UX67_CR0,0,67,98_AL_.jpg",Who Framed Roger Rabbit,1988,U,104 min,"Animation, Adventure, Comedy",7.7,A toon-hating detective is a cartoon rabbit's only hope to prove his innocence when he is accused of murder.,83,Robert Zemeckis,Bob Hoskins,Christopher Lloyd,Joanna Cassidy,Charles Fleischer,182009,"156,452,370" +"https://m.media-amazon.com/images/M/MV5BNDcwMTYzMjctN2M2Yy00ZDcxLWJhNTEtMGNhYzEwYzc2NDE4XkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UY98_CR0,0,67,98_AL_.jpg",Spoorloos,1988,,107 min,"Mystery, Thriller",7.7,"Rex and Saskia, a young couple in love, are on vacation. They stop at a busy service station and Saskia is abducted. After three years and no sign of Saskia, Rex begins receiving letters from the abductor.",,George Sluizer,Bernard-Pierre Donnadieu,Gene Bervoets,Johanna ter Steege,Gwen Eckhaus,33982, +"https://m.media-amazon.com/images/M/MV5BYjE3ODY5OWEtZmE0Mi00MjUxLTg5MmUtZmFkMzM1N2VjMmU5XkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",Withnail & I,1987,R,107 min,"Comedy, Drama",7.7,"In 1969, two substance-abusing, unemployed actors retreat to the countryside for a holiday that proves disastrous.",84,Bruce Robinson,Richard E. Grant,Paul McGann,Richard Griffiths,Ralph Brown,40396,"1,544,889" +"https://m.media-amazon.com/images/M/MV5BZTk0NDU4YmItOTk0ZS00ODc2LTkwNGItNWI5MDJkNTJiYWMxXkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UX67_CR0,0,67,98_AL_.jpg",The Last Emperor,1987,U,163 min,"Biography, Drama, History",7.7,The story of the final Emperor of China.,76,Bernardo Bertolucci,John Lone,Joan Chen,Peter O'Toole,Ruocheng Ying,94326,"43,984,230" +"https://m.media-amazon.com/images/M/MV5BMmQwNzczZDItNmI0OS00MjRmLTliYWItZWIyMjk1MTU4ZTQ4L2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Empire of the Sun,1987,U,153 min,"Action, Drama, History",7.7,A young English boy struggles to survive under Japanese occupation during World War II.,62,Steven Spielberg,Christian Bale,John Malkovich,Miranda Richardson,Nigel Havers,115677,"22,238,696" +"https://m.media-amazon.com/images/M/MV5BZjEyZTdhNDMtMWFkMS00ZmRjLWEyNmEtZDU3MWFkNDEzMDYwXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Der Name der Rose,1986,R,130 min,"Crime, Drama, Mystery",7.7,An intellectually nonconformist friar investigates a series of mysterious deaths in an isolated abbey.,54,Jean-Jacques Annaud,Sean Connery,Christian Slater,Helmut Qualtinger,Elya Baskin,102031,"7,153,487" +"https://m.media-amazon.com/images/M/MV5BMzExOTczNTgtN2Q1Yy00MmI1LWE0NjgtNmIwMzdmZGNlODU1XkEyXkFqcGdeQXVyNDkzNTM2ODg@._V1_UX67_CR0,0,67,98_AL_.jpg",Blue Velvet,1986,A,120 min,"Drama, Mystery, Thriller",7.7,"The discovery of a severed human ear found in a field leads a young man on an investigation related to a beautiful, mysterious nightclub singer and a group of psychopathic criminals who have kidnapped her child.",76,David Lynch,Isabella Rossellini,Kyle MacLachlan,Dennis Hopper,Laura Dern,181285,"8,551,228" +"https://m.media-amazon.com/images/M/MV5BY2E1YWRlNzAtYzAwYy00MDg5LTlmYTUtYjdlZDI0NzFkNjNlL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjQ2MjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",The Purple Rose of Cairo,1985,U,82 min,"Comedy, Fantasy, Romance",7.7,"In New Jersey in 1935, a movie character walks off the screen and into the real world.",75,Woody Allen,Mia Farrow,Jeff Daniels,Danny Aiello,Irving Metzman,47102,"10,631,333" +"https://m.media-amazon.com/images/M/MV5BMTUxMjEzMzI2MV5BMl5BanBnXkFtZTgwNTU3ODAxMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",After Hours,1985,UA,97 min,"Comedy, Crime, Drama",7.7,An ordinary word processor has the worst night of his life after he agrees to visit a girl in Soho who he met that evening at a coffee shop.,90,Martin Scorsese,Griffin Dunne,Rosanna Arquette,Verna Bloom,Tommy Chong,59635,"10,600,000" +"https://m.media-amazon.com/images/M/MV5BMGUwMjM0MTEtOGY2NS00MjJmLWEyMDAtYmNkMWJjOWJlNGM0XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Zelig,1983,PG,79 min,Comedy,7.7,"""Documentary"" about a man who can look and act like whoever he's around, and meets various famous people.",,Woody Allen,Woody Allen,Mia Farrow,Patrick Horgan,John Buckwalter,39881,"11,798,616" +"https://m.media-amazon.com/images/M/MV5BMTU5MzMwMzAzM15BMl5BanBnXkFtZTcwNjYyMjA0Mg@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Verdict,1982,U,129 min,Drama,7.7,A lawyer sees the chance to salvage his career and self-respect by taking a medical malpractice case to trial rather than settling.,77,Sidney Lumet,Paul Newman,Charlotte Rampling,Jack Warden,James Mason,36096,"54,000,000" +"https://m.media-amazon.com/images/M/MV5BMzcyYWE5YmQtNDE1Yi00ZjlmLWFlZTAtMzRjODBiYjM3OTA3XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Star Trek II: The Wrath of Khan,1982,U,113 min,"Action, Adventure, Sci-Fi",7.7,"With the assistance of the Enterprise crew, Admiral Kirk must stop an old nemesis, Khan Noonien Singh, from using the life-generating Genesis Device as the ultimate weapon.",67,Nicholas Meyer,William Shatner,Leonard Nimoy,DeForest Kelley,James Doohan,112704,"78,912,963" +"https://m.media-amazon.com/images/M/MV5BODBmOWU2YWMtZGUzZi00YzRhLWJjNDAtYTUwNWVkNDcyZmU5XkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",First Blood,1982,A,93 min,"Action, Adventure",7.7,A veteran Green Beret is forced by a cruel Sheriff and his deputies to flee into the mountains and wage an escalating one-man war against his pursuers.,61,Ted Kotcheff,Sylvester Stallone,Brian Dennehy,Richard Crenna,Bill McKinney,226541,"47,212,904" +"https://m.media-amazon.com/images/M/MV5BNWU3MDFkYWQtMWQ5YS00YTcwLThmNDItODY4OWE2ZTdhZmIwXkEyXkFqcGdeQXVyMjUzOTY1NTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Ordinary People,1980,U,124 min,Drama,7.7,"The accidental death of the older son of an affluent family deeply strains the relationships among the bitter mother, the good-natured father, and the guilt-ridden younger son.",86,Robert Redford,Donald Sutherland,Mary Tyler Moore,Judd Hirsch,Timothy Hutton,47099,"54,800,000" +"https://m.media-amazon.com/images/M/MV5BZjA3YjdhMWEtYjc2Ni00YzVlLWI0MTUtMGZmNTJjNmU0Yzk2XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Airplane!,1980,U,88 min,Comedy,7.7,A man afraid to fly must ensure that a plane lands safely after the pilots become sick.,78,Jim Abrahams,David Zucker,Jerry Zucker,Robert Hays,Julie Hagerty,214882,"83,400,000" +"https://m.media-amazon.com/images/M/MV5BYzYyNjg3OTctNzA2ZS00NjkzLWE4MmYtZDAzZWQ0NzkyMTJhXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Rupan sansei: Kariosutoro no shiro,1979,U,100 min,"Animation, Adventure, Family",7.7,"A dashing thief, his gang of desperadoes and an intrepid policeman struggle to free a princess from an evil count's clutches, and learn the hidden secret to a fabulous treasure that she holds part of a key to.",71,Hayao Miyazaki,Yasuo Yamada,Eiko Masuyama,Kiyoshi Kobayashi,Makio Inoue,27014, +"https://m.media-amazon.com/images/M/MV5BNzk1OGU2NmMtNTdhZC00NjdlLWE5YTMtZTQ0MGExZTQzOGQyXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Halloween,1978,A,91 min,"Horror, Thriller",7.7,"Fifteen years after murdering his sister on Halloween night 1963, Michael Myers escapes from a mental hospital and returns to the small town of Haddonfield, Illinois to kill again.",87,John Carpenter,Donald Pleasence,Jamie Lee Curtis,Tony Moran,Nancy Kyes,233106,"47,000,000" +"https://m.media-amazon.com/images/M/MV5BYmVhMDQ1YWUtYjgxOS00NzYyLWI0ZGItNTg3ZjM0MmQ4NmIwXkEyXkFqcGdeQXVyMjQzMzQzODY@._V1_UY98_CR3,0,67,98_AL_.jpg",Le locataire,1976,R,126 min,"Drama, Thriller",7.7,A bureaucrat rents a Paris apartment where he finds himself drawn into a rabbit hole of dangerous paranoia.,71,Roman Polanski,Roman Polanski,Isabelle Adjani,Melvyn Douglas,Jo Van Fleet,39889,"1,924,733" +"https://m.media-amazon.com/images/M/MV5BMTYxMDk1NTA5NF5BMl5BanBnXkFtZTcwNDkzNzA2NA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Love and Death,1975,PG,85 min,"Comedy, War",7.7,"In czarist Russia, a neurotic soldier and his distant cousin formulate a plot to assassinate Napoleon.",89,Woody Allen,Woody Allen,Diane Keaton,Georges Adet,Frank Adu,36037, +"https://m.media-amazon.com/images/M/MV5BMjE1NDY0NDk3Ml5BMl5BanBnXkFtZTcwMTAzMTM3NA@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Taking of Pelham One Two Three,1974,U,104 min,"Action, Crime, Thriller",7.7,"In New York, armed men hijack a subway car and demand a ransom for the passengers. Even if it's paid, how could they get away?",68,Joseph Sargent,Walter Matthau,Robert Shaw,Martin Balsam,Hector Elizondo,26729, +"https://m.media-amazon.com/images/M/MV5BZGZmMWE1MDYtNzAyNC00MDMzLTgzZjQtNTQ5NjYzN2E4MzkzXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Blazing Saddles,1974,A,93 min,"Comedy, Western",7.7,"In order to ruin a western town, a corrupt politician appoints a black Sheriff, who promptly becomes his most formidable adversary.",73,Mel Brooks,Cleavon Little,Gene Wilder,Slim Pickens,Harvey Korman,125993,"119,500,000" +"https://m.media-amazon.com/images/M/MV5BYTU4ZTI0NzAtYzMwNi00YmMxLThmZWItNTY5NzgyMDAwYWVhXkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UX67_CR0,0,67,98_AL_.jpg",Serpico,1973,A,130 min,"Biography, Crime, Drama",7.7,An honest New York cop named Frank Serpico blows the whistle on rampant corruption in the force only to have his comrades turn against him.,87,Sidney Lumet,Al Pacino,John Randolph,Jack Kehoe,Biff McGuire,109941,"29,800,000" +"https://m.media-amazon.com/images/M/MV5BNGZiMTkyNzQtMDdmZi00ZDNkLWE4YTAtZGNlNTIzYzQyMGM2XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Enter the Dragon,1973,A,102 min,"Action, Crime, Drama",7.7,A secret agent comes to an opium lord's island fortress with other fighters for a martial-arts tournament.,83,Robert Clouse,Bruce Lee,John Saxon,Jim Kelly,Ahna Capri,96561,"25,000,000" +"https://m.media-amazon.com/images/M/MV5BZjBhYzU3NWItOWZjMy00NjI5LWFmYmItZmIyOWFlMDIxMWNiXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Deliverance,1972,U,109 min,"Adventure, Drama, Thriller",7.7,"Intent on seeing the Cahulawassee River before it's dammed and turned into a lake, outdoor fanatic Lewis Medlock takes his friends on a canoeing trip they'll never forget into the dangerous American back-country.",80,John Boorman,Jon Voight,Burt Reynolds,Ned Beatty,Ronny Cox,98740,"7,056,013" +"https://m.media-amazon.com/images/M/MV5BOTZhY2E3NmItMGIwNi00OTA2LThkYmEtODFiZTM0NGI0ZWU5XkEyXkFqcGdeQXVyNTc1NTQxODI@._V1_UY98_CR1,0,67,98_AL_.jpg",The French Connection,1971,A,104 min,"Action, Crime, Drama",7.7,A pair of NYC cops in the Narcotics Bureau stumble onto a drug smuggling job with a French connection.,94,William Friedkin,Gene Hackman,Roy Scheider,Fernando Rey,Tony Lo Bianco,110075,"15,630,710" +"https://m.media-amazon.com/images/M/MV5BMzdhMTM2YTItOWU2YS00MTM0LTgyNDYtMDM1OWM3NzkzNTM2XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Dirty Harry,1971,A,102 min,"Action, Crime, Thriller",7.7,"When a madman calling himself ""the Scorpio Killer"" menaces the city, tough-as-nails San Francisco Police Inspector ""Dirty"" Harry Callahan is assigned to track down and ferret out the crazed psychopath.",90,Don Siegel,Clint Eastwood,Andrew Robinson,Harry Guardino,Reni Santoni,143292,"35,900,000" +"https://m.media-amazon.com/images/M/MV5BNGE3ZWZiNzktMDIyOC00ZmVhLThjZTktZjQ5NjI4NGVhMDBlXkEyXkFqcGdeQXVyMjI4MjA5MzA@._V1_UX67_CR0,0,67,98_AL_.jpg",Where Eagles Dare,1968,U,158 min,"Action, Adventure, War",7.7,"Allied agents stage a daring raid on a castle where the Nazis are holding American brigadier general George Carnaby prisoner, but that's not all that's really going on.",63,Brian G. Hutton,Richard Burton,Clint Eastwood,Mary Ure,Patrick Wymark,51913, +"https://m.media-amazon.com/images/M/MV5BZDVhNzQxZDEtMzcyZC00ZDg1LWFkZDctOWYxZTY0ZmYzYjc2XkEyXkFqcGdeQXVyMjA0MDQ0Mjc@._V1_UX67_CR0,0,67,98_AL_.jpg",The Odd Couple,1968,G,105 min,Comedy,7.7,"Two friends try sharing an apartment, but their ideas of housekeeping and lifestyles are as different as night and day.",86,Gene Saks,Jack Lemmon,Walter Matthau,John Fiedler,Herb Edelman,31572,"44,527,234" +"https://m.media-amazon.com/images/M/MV5BM2Y1ZTI0NzktYzU3MS00YmE1LThkY2EtMDc0NGYxNTNlZDA5XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Dirty Dozen,1967,,150 min,"Action, Adventure, War",7.7,"During World War II, a rebellious U.S. Army Major is assigned a dozen convicted murderers to train and lead them into a mass assassination mission of German officers.",73,Robert Aldrich,Lee Marvin,Ernest Borgnine,Charles Bronson,John Cassavetes,67183,"45,300,000" +"https://m.media-amazon.com/images/M/MV5BZjNkNGJjYWEtM2IyNi00ZjM5LWFlYjYtYjQ4NTU5MGFlMTI2XkEyXkFqcGdeQXVyMTMxMTY0OTQ@._V1_UY98_CR3,0,67,98_AL_.jpg",Belle de jour,1967,A,100 min,"Drama, Romance",7.7,A frigid young housewife decides to spend her midweek afternoons as a prostitute.,,Luis Buñuel,Catherine Deneuve,Jean Sorel,Michel Piccoli,Geneviève Page,40274,"26,331" +"https://m.media-amazon.com/images/M/MV5BMTRjOTA1NzctNzFmMy00ZjcwLWExYjgtYWQyZDM5ZWY1Y2JlXkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",A Man for All Seasons,1966,U,120 min,"Biography, Drama, History",7.7,"The story of Sir Thomas More, who stood up to King Henry VIII when the King rejected the Roman Catholic Church to obtain a divorce and remarry.",72,Fred Zinnemann,Paul Scofield,Wendy Hiller,Robert Shaw,Leo McKern,31222,"28,350,000" +"https://m.media-amazon.com/images/M/MV5BZTU5ZThjNzAtNjc4NC00OTViLWIxYTYtODFmMTk5Y2NjZjZiL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Repulsion,1965,,105 min,"Drama, Horror, Thriller",7.7,A sex-repulsed woman who disapproves of her sister's boyfriend sinks into depression and has horrific visions of rape and violence.,91,Roman Polanski,Catherine Deneuve,Ian Hendry,John Fraser,Yvonne Furneaux,48883, +"https://m.media-amazon.com/images/M/MV5BYzdlYmQ3MWMtMDY3My00MzVmLTg0YmMtYjRlZDUzNjBlMmE0L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Zulu,1964,U,138 min,"Drama, History, War",7.7,Outnumbered British soldiers do battle with Zulu warriors at Rorke's Drift.,77,Cy Endfield,Stanley Baker,Jack Hawkins,Ulla Jacobsson,James Booth,35999, +"https://m.media-amazon.com/images/M/MV5BMTQ2MzE0OTU3NV5BMl5BanBnXkFtZTcwNjQxNTgzNA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Goldfinger,1964,A,110 min,"Action, Adventure, Thriller",7.7,"While investigating a gold magnate's smuggling, James Bond uncovers a plot to contaminate the Fort Knox gold reserve.",87,Guy Hamilton,Sean Connery,Gert Fröbe,Honor Blackman,Shirley Eaton,174119,"51,081,062" +"https://m.media-amazon.com/images/M/MV5BMTAxNDA1ODc5MDleQTJeQWpwZ15BbWU4MDg2MDA4OTEx._V1_UX67_CR0,0,67,98_AL_.jpg",The Birds,1963,A,119 min,"Drama, Horror, Mystery",7.7,A wealthy San Francisco socialite pursues a potential boyfriend to a small Northern California town that slowly takes a turn for the bizarre when birds of all kinds suddenly begin to attack people.,90,Alfred Hitchcock,Rod Taylor,Tippi Hedren,Jessica Tandy,Suzanne Pleshette,171739,"11,403,529" +"https://m.media-amazon.com/images/M/MV5BOWNlMTJmMWUtYjk0MC00M2U4LWI1ODItZDgxNDZiODFmNjc5XkEyXkFqcGdeQXVyMTAwMzUyOTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Cape Fear,1962,Passed,106 min,"Drama, Thriller",7.7,A lawyer's family is stalked by a man he once helped put in jail.,76,J. Lee Thompson,Gregory Peck,Robert Mitchum,Polly Bergen,Lori Martin,26457, +"https://m.media-amazon.com/images/M/MV5BZjM3ZTAzZDYtZmFjZS00YmQ1LWJlOWEtN2I4MDRmYzY5YmRlL2ltYWdlXkEyXkFqcGdeQXVyMjgyNjk3MzE@._V1_UX67_CR0,0,67,98_AL_.jpg",Peeping Tom,1960,,101 min,"Drama, Horror, Thriller",7.7,"A young man murders women, using a movie camera to film their dying expressions of terror.",,Michael Powell,Karlheinz Böhm,Anna Massey,Moira Shearer,Maxine Audley,31354,"83,957" +"https://m.media-amazon.com/images/M/MV5BMzYyNzU0MTM1OF5BMl5BanBnXkFtZTcwMzE1ODE1NA@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Magnificent Seven,1960,Approved,128 min,"Action, Adventure, Western",7.7,Seven gunfighters are hired by Mexican peasants to liberate their village from oppressive bandits.,74,John Sturges,Yul Brynner,Steve McQueen,Charles Bronson,Eli Wallach,87719,"4,905,000" +"https://m.media-amazon.com/images/M/MV5BNzBiMWRhNzQtMjZhZS00NzFmLWE5YWMtOWY4NzIxMjYzZTEyXkEyXkFqcGdeQXVyMzg2MzE2OTE@._V1_UY98_CR3,0,67,98_AL_.jpg",Les yeux sans visage,1960,,90 min,"Drama, Horror",7.7,"A surgeon causes an accident which leaves his daughter disfigured, and goes to extremes to give her a new face.",90,Georges Franju,Pierre Brasseur,Alida Valli,Juliette Mayniel,Alexandre Rignault,27620,"52,709" +"https://m.media-amazon.com/images/M/MV5BYTExYjM3MDYtMzg4MC00MjU4LTljZjAtYzdlMTFmYTJmYTE4XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Invasion of the Body Snatchers,1956,Approved,80 min,"Drama, Horror, Sci-Fi",7.7,A small-town doctor learns that the population of his community is being replaced by emotionless alien duplicates.,92,Don Siegel,Kevin McCarthy,Dana Wynter,Larry Gates,King Donovan,44839, +"https://m.media-amazon.com/images/M/MV5BMTg2ODcxOTU1OV5BMl5BanBnXkFtZTgwNzA3ODI1MDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Rebel Without a Cause,1955,PG-13,111 min,Drama,7.7,"A rebellious young man with a troubled past comes to a new town, finding friends and enemies.",89,Nicholas Ray,James Dean,Natalie Wood,Sal Mineo,Jim Backus,83363, +"https://m.media-amazon.com/images/M/MV5BYTVlM2JmOGQtNWEwYy00NDQzLWIyZmEtOGZhMzgxZGRjZDA0XkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Ladykillers,1955,,91 min,"Comedy, Crime",7.7,Five oddball criminals planning a bank robbery rent rooms on a cul-de-sac from an octogenarian widow under the pretext that they are classical musicians.,91,Alexander Mackendrick,Alec Guinness,Peter Sellers,Cecil Parker,Herbert Lom,26464, +"https://m.media-amazon.com/images/M/MV5BYmFlNTA1NWItODQxNC00YjFmLWE3ZWYtMzg3YTkwYmMxMjY2XkEyXkFqcGdeQXVyMTMxMTY0OTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Sabrina,1954,Passed,113 min,"Comedy, Drama, Romance",7.7,"A playboy becomes interested in the daughter of his family's chauffeur, but it's his more serious brother who would be the better man for her.",72,Billy Wilder,Humphrey Bogart,Audrey Hepburn,William Holden,Walter Hampden,59415, +"https://m.media-amazon.com/images/M/MV5BMWM1ZDhlM2MtNDNmMi00MDk4LTg5MjgtODE4ODk1MjYxOTIwXkEyXkFqcGdeQXVyNjc0MzMzNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",The Quiet Man,1952,Passed,129 min,"Comedy, Drama, Romance",7.7,"A retired American boxer returns to the village of his birth in Ireland, where he falls for a spirited redhead whose brother is contemptuous of their union.",,John Ford,John Wayne,Maureen O'Hara,Barry Fitzgerald,Ward Bond,34677,"10,550,000" +"https://m.media-amazon.com/images/M/MV5BMTU5NTBmYTAtOTgyYi00NGM0LWE0ODctZjNiYWM5MmIxYzE4XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Day the Earth Stood Still,1951,U,92 min,"Drama, Sci-Fi",7.7,An alien lands and tells the people of Earth that they must live peacefully or be destroyed as a danger to other planets.,,Robert Wise,Michael Rennie,Patricia Neal,Hugh Marlowe,Sam Jaffe,76315, +"https://m.media-amazon.com/images/M/MV5BYzM3YjE2NGMtODY3Zi00NTY0LWE4Y2EtMTE5YzNmM2U1NTg2XkEyXkFqcGdeQXVyMTY5Nzc4MDY@._V1_UX67_CR0,0,67,98_AL_.jpg",The African Queen,1951,PG,105 min,"Adventure, Drama, Romance",7.7,"In WWI Africa, a gin-swilling riverboat captain is persuaded by a strait-laced missionary to use his boat to attack an enemy warship.",91,John Huston,Humphrey Bogart,Katharine Hepburn,Robert Morley,Peter Bull,71481,"536,118" +"https://m.media-amazon.com/images/M/MV5BYWUxMzViZTUtNTYxNy00YjY4LWJmMjYtMzNlOThjNjhiZmZkXkEyXkFqcGdeQXVyMDI2NDg0NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Gilda,1946,Approved,110 min,"Drama, Film-Noir, Romance",7.7,A small-time gambler hired to work in a Buenos Aires casino discovers his employer's new wife is his former lover.,,Charles Vidor,Rita Hayworth,Glenn Ford,George Macready,Joseph Calleia,27991, +"https://m.media-amazon.com/images/M/MV5BMjAxMTI1Njk3OF5BMl5BanBnXkFtZTgwNjkzODk4NTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Fantasia,1940,G,125 min,"Animation, Family, Fantasy",7.7,A collection of animated interpretations of great works of Western classical music.,96,James Algar,Samuel Armstrong,Ford Beebe Jr.,Norman Ferguson,David Hand,88662,"76,408,097" +"https://m.media-amazon.com/images/M/MV5BYjllMmE0Y2YtYWIwZi00OWY1LWJhNWItYzM2MmNiYmFiZmRmXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Invisible Man,1933,TV-PG,71 min,"Horror, Sci-Fi",7.7,"A scientist finds a way of becoming invisible, but in doing so, he becomes murderously insane.",87,James Whale,Claude Rains,Gloria Stuart,William Harrigan,Henry Travers,30683, +"https://m.media-amazon.com/images/M/MV5BODQ0M2Y5M2QtZGIwMC00MzJjLThlMzYtNmE3ZTMzZTYzOGEwXkEyXkFqcGdeQXVyMTkxNjUyNQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Dark Waters,2019,PG-13,126 min,"Biography, Drama, History",7.6,A corporate defense attorney takes on an environmental lawsuit against a chemical company that exposes a lengthy history of pollution.,73,Todd Haynes,Mark Ruffalo,Anne Hathaway,Tim Robbins,Bill Pullman,60408, +"https://m.media-amazon.com/images/M/MV5BMjIwOTA3NDI3MF5BMl5BanBnXkFtZTgwNzIzMzA5NTM@._V1_UX67_CR0,0,67,98_AL_.jpg",Searching,2018,U/A,102 min,"Drama, Mystery, Thriller",7.6,"After his teenage daughter goes missing, a desperate father tries to find clues on her laptop.",71,Aneesh Chaganty,John Cho,Debra Messing,Joseph Lee,Michelle La,140840,"26,020,957" +"https://m.media-amazon.com/images/M/MV5BOTg4ZTNkZmUtMzNlZi00YmFjLTk1MmUtNWQwNTM0YjcyNTNkXkEyXkFqcGdeQXVyNjg2NjQwMDQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Once Upon a Time... in Hollywood,2019,A,161 min,"Comedy, Drama",7.6,A faded television actor and his stunt double strive to achieve fame and success in the final years of Hollywood's Golden Age in 1969 Los Angeles.,83,Quentin Tarantino,Leonardo DiCaprio,Brad Pitt,Margot Robbie,Emile Hirsch,551309,"142,502,728" +"https://m.media-amazon.com/images/M/MV5BNzk2NmU3NmEtMTVhNS00NzJhLWE1M2ItMThjZjI5NWM3YmFmXkEyXkFqcGdeQXVyMjA1MzUyODk@._V1_UY98_CR1,0,67,98_AL_.jpg",Nelyubov,2017,R,127 min,Drama,7.6,A couple going through a divorce must team up to find their son who has disappeared during one of their bitter arguments.,86,Andrey Zvyagintsev,Maryana Spivak,Aleksey Rozin,Matvey Novikov,Marina Vasileva,29765,"566,356" +"https://m.media-amazon.com/images/M/MV5BMjg4ZmY1MmItMjFjOS00ZTg2LWJjNDYtNDM2YmM2NzhiNmZhXkEyXkFqcGdeQXVyNTAzMTY4MDA@._V1_UX67_CR0,0,67,98_AL_.jpg",The Florida Project,2017,A,111 min,Drama,7.6,"Set over one summer, the film follows precocious six-year-old Moonee as she courts mischief and adventure with her ragtag playmates and bonds with her rebellious but caring mother, all while living in the shadows of Walt Disney World.",92,Sean Baker,Brooklynn Prince,Bria Vinaite,Willem Dafoe,Christopher Rivera,95181,"5,904,366" +"https://m.media-amazon.com/images/M/MV5BYmM4YzA5NjUtZGEyOS00YzllLWJmM2UtZjhhNmJhM2E1NjUxXkEyXkFqcGdeQXVyMTkxNjUyNQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Just Mercy,2019,A,137 min,"Biography, Crime, Drama",7.6,World-renowned civil rights defense attorney Bryan Stevenson works to free a wrongly condemned death row prisoner.,68,Destin Daniel Cretton,Michael B. Jordan,Jamie Foxx,Brie Larson,Charlie Pye Jr.,46739, +"https://m.media-amazon.com/images/M/MV5BMjQ2NDU3NDE0M15BMl5BanBnXkFtZTgwMjA3OTg0MDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Gifted,2017,PG-13,101 min,Drama,7.6,"Frank, a single man raising his child prodigy niece Mary, is drawn into a custody battle with his mother.",60,Marc Webb,Chris Evans,Mckenna Grace,Lindsay Duncan,Octavia Spencer,99643,"24,801,212" +"https://m.media-amazon.com/images/M/MV5BOWVmZGQ0MGYtMDI1Yy00MDkxLWJiYjQtMmZjZmQ0NDFmMDRhXkEyXkFqcGdeQXVyNjg3MDMxNzU@._V1_UX67_CR0,0,67,98_AL_.jpg",The Peanut Butter Falcon,2019,PG-13,97 min,"Adventure, Comedy, Drama",7.6,Zak runs away from his care home to make his dream of becoming a wrestler come true.,70,Tyler Nilson,Michael Schwartz,Zack Gottsagen,Ann Owens,Dakota Johnson,66346,"13,122,642" +"https://m.media-amazon.com/images/M/MV5BMTc5NzQzNjk2NF5BMl5BanBnXkFtZTgwODU0MjI5NjE@._V1_UY98_CR0,0,67,98_AL_.jpg",Victoria,2015,,138 min,"Crime, Drama, Romance",7.6,A young Spanish woman who has recently moved to Berlin finds her flirtation with a local guy turn potentially deadly as their night out with his friends reveals a dangerous secret.,77,Sebastian Schipper,Laia Costa,Frederick Lau,Franz Rogowski,Burak Yigit,52903, +"https://m.media-amazon.com/images/M/MV5BMTkwODUzODA0OV5BMl5BanBnXkFtZTgwMTA3ODkxNzE@._V1_UY98_CR0,0,67,98_AL_.jpg",Mustang,2015,PG-13,97 min,Drama,7.6,"When five orphan girls are seen innocently playing with boys on a beach, their scandalized conservative guardians confine them while forced marriages are arranged.",83,Deniz Gamze Ergüven,Günes Sensoy,Doga Zeynep Doguslu,Tugba Sunguroglu,Elit Iscan,35785,"845,464" +"https://m.media-amazon.com/images/M/MV5BNjM0NTc0NzItM2FlYS00YzEwLWE0YmUtNTA2ZWIzODc2OTgxXkEyXkFqcGdeQXVyNTgwNzIyNzg@._V1_UX67_CR0,0,67,98_AL_.jpg",Guardians of the Galaxy Vol. 2,2017,UA,136 min,"Action, Adventure, Comedy",7.6,"The Guardians struggle to keep together as a team while dealing with their personal family issues, notably Star-Lord's encounter with his father the ambitious celestial being Ego.",67,James Gunn,Chris Pratt,Zoe Saldana,Dave Bautista,Vin Diesel,569974,"389,813,101" +"https://m.media-amazon.com/images/M/MV5BMjM3MjQ1MzkxNl5BMl5BanBnXkFtZTgwODk1ODgyMjI@._V1_UX67_CR0,0,67,98_AL_.jpg",Baby Driver,2017,UA,113 min,"Action, Crime, Drama",7.6,"After being coerced into working for a crime boss, a young getaway driver finds himself taking part in a heist doomed to fail.",86,Edgar Wright,Ansel Elgort,Jon Bernthal,Jon Hamm,Eiza González,439406,"107,825,862" +"https://m.media-amazon.com/images/M/MV5BYWFlOWI3YTMtYTk3NS00YWQ2LTlmYTMtZjk0ZDk4Y2NjODI0XkEyXkFqcGdeQXVyNTQxNTQ4Mg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Only the Brave,2017,UA,134 min,"Action, Biography, Drama",7.6,"Based on the true story of the Granite Mountain Hotshots, a group of elite firefighters who risk everything to protect a town from a historic wildfire.",72,Joseph Kosinski,Josh Brolin,Miles Teller,Jeff Bridges,Jennifer Connelly,58371,"18,340,051" +"https://m.media-amazon.com/images/M/MV5BMjIxOTI0MjU5NV5BMl5BanBnXkFtZTgwNzM4OTk4NTE@._V1_UX67_CR0,0,67,98_AL_.jpg",Bridge of Spies,2015,UA,142 min,"Drama, History, Thriller",7.6,"During the Cold War, an American lawyer is recruited to defend an arrested Soviet spy in court, and then help the CIA facilitate an exchange of the spy for the Soviet captured American U2 spy plane pilot, Francis Gary Powers.",81,Steven Spielberg,Tom Hanks,Mark Rylance,Alan Alda,Amy Ryan,287659,"72,313,754" +"https://m.media-amazon.com/images/M/MV5BMTEzNzY0OTg0NTdeQTJeQWpwZ15BbWU4MDU3OTg3MjUz._V1_UX67_CR0,0,67,98_AL_.jpg",Incredibles 2,2018,UA,118 min,"Animation, Action, Adventure",7.6,The Incredibles family takes on a new mission which involves a change in family roles: Bob Parr (Mr. Incredible) must manage the house while his wife Helen (Elastigirl) goes out to save the world.,80,Brad Bird,Craig T. Nelson,Holly Hunter,Sarah Vowell,Huck Milner,250057,"608,581,744" +"https://m.media-amazon.com/images/M/MV5BMjI4MzU5NTExNF5BMl5BanBnXkFtZTgwNzY1MTEwMDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Moana,2016,U,107 min,"Animation, Adventure, Comedy",7.6,"In Ancient Polynesia, when a terrible curse incurred by the Demigod Maui reaches Moana's island, she answers the Ocean's call to seek out the Demigod to set things right.",81,Ron Clements,John Musker,Don Hall,Chris Williams,Auli'i Cravalho,272784,"248,757,044" +"https://m.media-amazon.com/images/M/MV5BMjA5NjM3NTk1M15BMl5BanBnXkFtZTgwMzg1MzU2NjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Sicario,2015,A,121 min,"Action, Crime, Drama",7.6,An idealistic FBI agent is enlisted by a government task force to aid in the escalating war against drugs at the border area between the U.S. and Mexico.,82,Denis Villeneuve,Emily Blunt,Josh Brolin,Benicio Del Toro,Jon Bernthal,371291,"46,889,293" +"https://m.media-amazon.com/images/M/MV5BNmZkYjQzY2QtNjdkNC00YjkzLTk5NjUtY2MyNDNiYTBhN2M2XkEyXkFqcGdeQXVyMjMwNDgzNjc@._V1_UX67_CR0,0,67,98_AL_.jpg",Creed,2015,A,133 min,"Drama, Sport",7.6,"The former World Heavyweight Champion Rocky Balboa serves as a trainer and mentor to Adonis Johnson, the son of his late friend and former rival Apollo Creed.",82,Ryan Coogler,Michael B. Jordan,Sylvester Stallone,Tessa Thompson,Phylicia Rashad,247666,"109,767,581" +"https://m.media-amazon.com/images/M/MV5BYTYxZjQ2YTktNmVkMC00ZTY4LThkZmItMDc4MTJiYjVhZjM0L2ltYWdlXkEyXkFqcGdeQXVyMjgyNjk3MzE@._V1_UY98_CR1,0,67,98_AL_.jpg",Leviafan,2014,R,140 min,"Crime, Drama",7.6,"In a Russian coastal town, Kolya is forced to fight the corrupt mayor when he is told that his house will be demolished. He recruits a lawyer friend to help, but the man's arrival brings further misfortune for Kolya and his family.",92,Andrey Zvyagintsev,Aleksey Serebryakov,Elena Lyadova,Roman Madyanov,Vladimir Vdovichenkov,49397,"1,092,800" +"https://m.media-amazon.com/images/M/MV5BMTg4NDA1OTA5NF5BMl5BanBnXkFtZTgwMDQ2MDM5ODE@._V1_UX67_CR0,0,67,98_AL_.jpg",Hell or High Water,2016,R,102 min,"Action, Crime, Drama",7.6,A divorced father and his ex-con older brother resort to a desperate scheme in order to save their family's ranch in West Texas.,88,David Mackenzie,Chris Pine,Ben Foster,Jeff Bridges,Gil Birmingham,204175,"26,862,450" +"https://m.media-amazon.com/images/M/MV5BMjA5ODgyNzcxMV5BMl5BanBnXkFtZTgwMzkzOTYzMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Philomena,2013,PG-13,98 min,"Biography, Comedy, Drama",7.6,"A world-weary political journalist picks up the story of a woman's search for her son, who was taken away from her decades ago after she became pregnant and was forced to live in a convent.",77,Stephen Frears,Judi Dench,Steve Coogan,Sophie Kennedy Clark,Mare Winningham,94212,"37,707,719" +"https://m.media-amazon.com/images/M/MV5BMTgwODk3NDc1N15BMl5BanBnXkFtZTgwNTc1NjQwMjE@._V1_UX67_CR0,0,67,98_AL_.jpg",Dawn of the Planet of the Apes,2014,UA,130 min,"Action, Adventure, Drama",7.6,A growing nation of genetically evolved apes led by Caesar is threatened by a band of human survivors of the devastating virus unleashed a decade earlier.,79,Matt Reeves,Gary Oldman,Keri Russell,Andy Serkis,Kodi Smit-McPhee,411599,"208,545,589" +"https://m.media-amazon.com/images/M/MV5BNGMxZjFkN2EtMDRiMS00ZTBjLWI0M2MtZWUyYjFhZGViZDJlXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",El cuerpo,2012,,112 min,"Mystery, Thriller",7.6,A detective searches for the body of a femme fatale which has gone missing from a morgue.,,Oriol Paulo,Jose Coronado,Hugo Silva,Belén Rueda,Aura Garrido,57549, +"https://m.media-amazon.com/images/M/MV5BZGIxODNjM2YtZjA5Mi00MjA5LTk2YjItODE0OWI5NThjNTBmXkEyXkFqcGdeQXVyNzQ1ODk3MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Serbuan maut,2011,A,101 min,"Action, Thriller",7.6,A S.W.A.T. team becomes trapped in a tenement run by a ruthless mobster and his army of killers and thugs.,73,Gareth Evans,Iko Uwais,Ananda George,Ray Sahetapy,Donny Alamsyah,190531,"4,105,123" +"https://m.media-amazon.com/images/M/MV5BMjMxNjU0ODU5Ml5BMl5BanBnXkFtZTcwNjI4MzAyOA@@._V1_UX67_CR0,0,67,98_AL_.jpg",End of Watch,2012,A,109 min,"Action, Crime, Drama",7.6,"Shot documentary-style, this film follows the daily grind of two young police officers in LA who are partners and friends, and what happens when they meet criminal forces greater than themselves.",68,David Ayer,Jake Gyllenhaal,Michael Peña,Anna Kendrick,America Ferrera,228132,"41,003,371" +"https://m.media-amazon.com/images/M/MV5BZDY3ZGI0ZDAtMThlNy00MzAxLTg4YjAtNjkwYTkxNmQ4MjdlXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Kari-gurashi no Arietti,2010,U,94 min,"Animation, Adventure, Family",7.6,"The Clock family are four-inch-tall people who live anonymously in another family's residence, borrowing simple items to make their home. Life changes for the Clocks when their teenage daughter, Arrietty, is discovered.",80,Hiromasa Yonebayashi,Amy Poehler,Mirai Shida,Ryûnosuke Kamiki,Tatsuya Fujiwara,80939,"19,202,743" +"https://m.media-amazon.com/images/M/MV5BNmE5ZmE3OGItNTdlNC00YmMxLWEzNjctYzAwOGQ5ODg0OTI0XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",A Star Is Born,2018,UA,136 min,"Drama, Music, Romance",7.6,A musician helps a young singer find fame as age and alcoholism send his own career into a downward spiral.,88,Bradley Cooper,Lady Gaga,Bradley Cooper,Sam Elliott,Greg Grunberg,334312,"215,288,866" +"https://m.media-amazon.com/images/M/MV5BODhkZDIzNjgtOTA5ZS00MmMzLWFkNjYtM2Y2MzFjN2FkNjAzL2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",True Grit,2010,PG-13,110 min,"Drama, Western",7.6,A stubborn teenager enlists the help of a tough U.S. Marshal to track down her father's murderer.,80,Ethan Coen,Joel Coen,Jeff Bridges,Matt Damon,Hailee Steinfeld,311822,"171,243,005" +"https://m.media-amazon.com/images/M/MV5BNDY2OTE5MzE0Nl5BMl5BanBnXkFtZTcwNDAyOTc2NA@@._V1_UX67_CR0,0,67,98_AL_.jpg",Hævnen,2010,R,118 min,"Drama, Romance",7.6,"The lives of two Danish families cross each other, and an extraordinary but risky friendship comes into bud. But loneliness, frailty and sorrow lie in wait.",65,Susanne Bier,Mikael Persbrandt,Trine Dyrholm,Markus Rygaard,Wil Johnson,38491,"1,008,098" +"https://m.media-amazon.com/images/M/MV5BMTY3NjY0MTQ0Nl5BMl5BanBnXkFtZTcwMzQ2MTc0Mw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Despicable Me,2010,U,95 min,"Animation, Comedy, Crime",7.6,"When a criminal mastermind uses a trio of orphan girls as pawns for a grand scheme, he finds their love is profoundly changing him for the better.",72,Pierre Coffin,Chris Renaud,Steve Carell,Jason Segel,Russell Brand,500851,"251,513,985" +"https://m.media-amazon.com/images/M/MV5BNjg3ODQyNTIyN15BMl5BanBnXkFtZTcwMjUzNzM5NQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",50/50,2011,R,100 min,"Comedy, Drama, Romance",7.6,"Inspired by a true story, a comedy centered on a 27-year-old guy who learns of his cancer diagnosis and his subsequent struggle to beat the disease.",72,Jonathan Levine,Joseph Gordon-Levitt,Seth Rogen,Anna Kendrick,Bryce Dallas Howard,315426,"35,014,192" +"https://m.media-amazon.com/images/M/MV5BMTMzNzEzMDYxM15BMl5BanBnXkFtZTcwMTc0NTMxMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Kick-Ass,2010,UA,117 min,"Action, Comedy, Crime",7.6,"Dave Lizewski is an unnoticed high school student and comic book fan who one day decides to become a superhero, even though he has no powers, training or meaningful reason to do so.",66,Matthew Vaughn,Aaron Taylor-Johnson,Nicolas Cage,Chloë Grace Moretz,Garrett M. Brown,524081,"48,071,303" +"https://m.media-amazon.com/images/M/MV5BMjI2ODE4ODAtMDA3MS00ODNkLTg4N2EtOGU0YjZmNGY4NjZlXkEyXkFqcGdeQXVyMTY5MDE5NA@@._V1_UY98_CR0,0,67,98_AL_.jpg",Celda 211,2009,,113 min,"Action, Adventure, Crime",7.6,"The story of two men on different sides of a prison riot -- the inmate leading the rebellion and the young guard trapped in the revolt, who poses as a prisoner in a desperate attempt to survive the ordeal.",,Daniel Monzón,Luis Tosar,Alberto Ammann,Antonio Resines,Manuel Morón,63882, +"https://m.media-amazon.com/images/M/MV5BMjAxOTU3Mzc1M15BMl5BanBnXkFtZTcwMzk1ODUzNg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Moneyball,2011,PG-13,133 min,"Biography, Drama, Sport",7.6,Oakland A's general manager Billy Beane's successful attempt to assemble a baseball team on a lean budget by employing computer-generated analysis to acquire new players.,87,Bennett Miller,Brad Pitt,Robin Wright,Jonah Hill,Philip Seymour Hoffman,369529,"75,605,492" +"https://m.media-amazon.com/images/M/MV5BYmFmNjY5NDYtZjlhNi00YjQ5LTgzNzctNWRiNWUzNmIyNjc4XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UY98_CR0,0,67,98_AL_.jpg",La piel que habito,2011,R,120 min,"Drama, Horror, Thriller",7.6,"A brilliant plastic surgeon, haunted by past tragedies, creates a type of synthetic skin that withstands any kind of damage. His guinea pig: a mysterious and volatile woman who holds the key to his obsession.",70,Pedro Almodóvar,Antonio Banderas,Elena Anaya,Jan Cornet,Marisa Paredes,138959,"3,185,812" +"https://m.media-amazon.com/images/M/MV5BMTU5MDg0NTQ1N15BMl5BanBnXkFtZTcwMjA4Mjg3Mg@@._V1_UY98_CR1,0,67,98_AL_.jpg",Zombieland,2009,A,88 min,"Adventure, Comedy, Fantasy",7.6,"A shy student trying to reach his family in Ohio, a gun-toting tough guy trying to find the last Twinkie, and a pair of sisters trying to get to an amusement park join forces to travel across a zombie-filled America.",73,Ruben Fleischer,Jesse Eisenberg,Emma Stone,Woody Harrelson,Abigail Breslin,520041,"75,590,286" +"https://m.media-amazon.com/images/M/MV5BMzc0ZmUyZjAtZThkMi00ZDY5LTg5YjctYmUwM2FiYjMyMDI5XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Die Welle,2008,,107 min,"Drama, Thriller",7.6,A high school teacher's experiment to demonstrate to his students what life is like under a dictatorship spins horribly out of control when he forms a social unit with a life of its own.,,Dennis Gansel,Jürgen Vogel,Frederick Lau,Max Riemelt,Jennifer Ulrich,102742, +"https://m.media-amazon.com/images/M/MV5BMTg0NjEwNjUxM15BMl5BanBnXkFtZTcwMzk0MjQ5Mg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Sherlock Holmes,2009,PG-13,128 min,"Action, Adventure, Mystery",7.6,Detective Sherlock Holmes and his stalwart partner Watson engage in a battle of wits and brawn with a nemesis whose plot is a threat to all of England.,57,Guy Ritchie,Robert Downey Jr.,Jude Law,Rachel McAdams,Mark Strong,583158,"209,028,679" +"https://m.media-amazon.com/images/M/MV5BMjEzOTE3ODM3OF5BMl5BanBnXkFtZTcwMzYyODI4Mg@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Blind Side,2009,UA,129 min,"Biography, Drama, Sport",7.6,"The story of Michael Oher, a homeless and traumatized boy who became an All-American football player and first-round NFL draft pick with the help of a caring woman and her family.",53,John Lee Hancock,Quinton Aaron,Sandra Bullock,Tim McGraw,Jae Head,293266,"255,959,475" +"https://m.media-amazon.com/images/M/MV5BMTIzNTg3NzkzNV5BMl5BanBnXkFtZTcwNzMwMjU2MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Visitor,2007,PG-13,104 min,Drama,7.6,A college professor travels to New York City to attend a conference and finds a young couple living in his apartment.,79,Tom McCarthy,Richard Jenkins,Haaz Sleiman,Danai Gurira,Hiam Abbass,41544,"9,422,422" +"https://m.media-amazon.com/images/M/MV5BMTU0NzY0MTY5OF5BMl5BanBnXkFtZTcwODY3MDEwMg@@._V1_UY98_CR3,0,67,98_AL_.jpg",Seven Pounds,2008,UA,123 min,Drama,7.6,A man with a fateful secret embarks on an extraordinary journey of redemption by forever changing the lives of seven strangers.,36,Gabriele Muccino,Will Smith,Rosario Dawson,Woody Harrelson,Michael Ealy,286770,"69,951,824" +"https://m.media-amazon.com/images/M/MV5BMTcwMzU0OTY3NF5BMl5BanBnXkFtZTYwNzkwNjg2._V1_UX67_CR0,0,67,98_AL_.jpg",Eastern Promises,2007,R,100 min,"Action, Crime, Drama",7.6,A teenager who dies during childbirth leaves clues in her journal that could tie her child to a rape involving a violent Russian mob family.,82,David Cronenberg,Naomi Watts,Viggo Mortensen,Armin Mueller-Stahl,Josef Altin,227760,"17,114,882" +"https://m.media-amazon.com/images/M/MV5BMjkyMTE1OTYwNF5BMl5BanBnXkFtZTcwMDIxODYzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",Stardust,2007,U,127 min,"Adventure, Family, Fantasy",7.6,"In a countryside town bordering on a magical land, a young man makes a promise to his beloved that he'll retrieve a fallen star by venturing into the magical realm.",66,Matthew Vaughn,Charlie Cox,Claire Danes,Sienna Miller,Ian McKellen,255036,"38,634,938" +"https://m.media-amazon.com/images/M/MV5BMjEzMjEzNTIzOF5BMl5BanBnXkFtZTcwMTg2MjAyMw@@._V1_UY98_CR0,0,67,98_AL_.jpg",The Secret of Kells,2009,,71 min,"Animation, Adventure, Family",7.6,"A young boy in a remote medieval outpost under siege from barbarian raids is beckoned to adventure when a celebrated master illuminator arrives with an ancient book, brimming with secret wisdom and powers.",81,Tomm Moore,Nora Twomey,Evan McGuire,Brendan Gleeson,Mick Lally,31779,"686,383" +"https://m.media-amazon.com/images/M/MV5BYjc4MjA2ZDgtOGY3YS00NDYzLTlmNTEtYWMxMzcwZjgzYWNjXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Inside Man,2006,R,129 min,"Crime, Drama, Mystery",7.6,"A police detective, a bank robber, and a high-power broker enter high-stakes negotiations after the criminal's brilliant heist spirals into a hostage situation.",76,Spike Lee,Denzel Washington,Clive Owen,Jodie Foster,Christopher Plummer,339757,"88,513,495" +"https://m.media-amazon.com/images/M/MV5BYmM2NDNiNGItMTRhMi00ZDA2LTgzOWMtZTE2ZjFhMDQ2M2U5XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Gone Baby Gone,2007,R,114 min,"Crime, Drama, Mystery",7.6,"Two Boston area detectives investigate a little girl's kidnapping, which ultimately turns into a crisis both professionally and personally.",72,Ben Affleck,Morgan Freeman,Ed Harris,Casey Affleck,Michelle Monaghan,250590,"20,300,218" +"https://m.media-amazon.com/images/M/MV5BOTBmZDZkNWYtODIzYi00N2Y4LWFjMmMtNmM1OGYyNGVhYzUzXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",La Vie En Rose,2007,PG-13,140 min,"Biography, Drama, Music",7.6,"Biopic of the iconic French singer Édith Piaf. Raised by her grandmother in a brothel, she was discovered while singing on a street corner at the age of 19. Despite her success, Piaf's life was filled with tragedy.",66,Olivier Dahan,Marion Cotillard,Sylvie Testud,Pascal Greggory,Emmanuelle Seigner,82781,"10,301,706" +"https://m.media-amazon.com/images/M/MV5BMTI5MjA2Mzk2M15BMl5BanBnXkFtZTcwODY1MDUzMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Huo Yuan Jia,2006,PG-13,104 min,"Action, Biography, Drama",7.6,"A biography of Chinese Martial Arts Master Huo Yuanjia, who is the founder and spiritual guru of the Jin Wu Sports Federation.",70,Ronny Yu,Jet Li,Li Sun,Yong Dong,Yun Qu,72863,"24,633,730" +"https://m.media-amazon.com/images/M/MV5BY2VkMzZlZDAtNTkzNS00MDIzLWFmOTctMWQwZjQ1OWJiYzQ1XkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UY98_CR1,0,67,98_AL_.jpg",The Illusionist,2006,U,110 min,"Drama, Fantasy, Mystery",7.6,"In turn-of-the-century Vienna, a magician uses his abilities to secure the love of a woman far above his social standing.",68,Neil Burger,Edward Norton,Jessica Biel,Paul Giamatti,Rufus Sewell,354728,"39,868,642" +"https://m.media-amazon.com/images/M/MV5BMTI5Mzk1MDc2M15BMl5BanBnXkFtZTcwMjIzMDA0MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Dead Man's Shoes,2004,,90 min,"Crime, Drama, Thriller",7.6,A disaffected soldier returns to his hometown to get even with the thugs who brutalized his mentally-challenged brother years ago.,52,Shane Meadows,Paddy Considine,Gary Stretch,Toby Kebbell,Stuart Wolfenden,49728,"6,013" +"https://m.media-amazon.com/images/M/MV5BNzU3NDg4NTAyNV5BMl5BanBnXkFtZTcwOTg2ODg1Mg@@._V1_UX67_CR0,0,67,98_AL_.jpg",Harry Potter and the Half-Blood Prince,2009,UA,153 min,"Action, Adventure, Family",7.6,"As Harry Potter begins his sixth year at Hogwarts, he discovers an old book marked as ""the property of the Half-Blood Prince"" and begins to learn more about Lord Voldemort's dark past.",78,David Yates,Daniel Radcliffe,Emma Watson,Rupert Grint,Michael Gambon,474827,"301,959,197" +"https://m.media-amazon.com/images/M/MV5BNWMxYTZlOTUtZDExMi00YzZmLTkwYTMtZmM2MmRjZmQ3OGY4XkEyXkFqcGdeQXVyMTAwMzUyMzUy._V1_UX67_CR0,0,67,98_AL_.jpg",300,2006,A,117 min,"Action, Drama",7.6,King Leonidas of Sparta and a force of 300 men fight the Persians at Thermopylae in 480 B.C.,52,Zack Snyder,Gerard Butler,Lena Headey,David Wenham,Dominic West,732876,"210,614,939" +"https://m.media-amazon.com/images/M/MV5BMjRjOTMwMDEtNTY4NS00OWRjLWI4ZWItZDgwYmZhMzlkYzgxXkEyXkFqcGdeQXVyODIxOTg5MTc@._V1_UY98_CR1,0,67,98_AL_.jpg",Match Point,2005,R,124 min,"Drama, Romance, Thriller",7.6,"At a turning point in his life, a former tennis pro falls for an actress who happens to be dating his friend and soon-to-be brother-in-law.",72,Woody Allen,Scarlett Johansson,Jonathan Rhys Meyers,Emily Mortimer,Matthew Goode,206294,"23,089,926" +"https://m.media-amazon.com/images/M/MV5BY2IzNGNiODgtOWYzOS00OTI0LTgxZTUtOTA5OTQ5YmI3NGUzXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Watchmen,2009,A,162 min,"Action, Drama, Mystery",7.6,"In 1985 where former superheroes exist, the murder of a colleague sends active vigilante Rorschach into his own sprawling investigation, uncovering something that could completely change the course of history as we know it.",56,Zack Snyder,Jackie Earle Haley,Patrick Wilson,Carla Gugino,Malin Akerman,500799,"107,509,799" +"https://m.media-amazon.com/images/M/MV5BMTYzZWE3MDAtZjZkMi00MzhlLTlhZDUtNmI2Zjg3OWVlZWI0XkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",Lord of War,2005,R,122 min,"Action, Crime, Drama",7.6,An arms dealer confronts the morality of his work as he is being chased by an INTERPOL Agent.,62,Andrew Niccol,Nicolas Cage,Ethan Hawke,Jared Leto,Bridget Moynahan,294140,"24,149,632" +"https://m.media-amazon.com/images/M/MV5BMzQ2ZTBhNmEtZDBmYi00ODU0LTgzZmQtNmMxM2M4NzM1ZjE4XkEyXkFqcGdeQXVyNjE5MjUyOTM@._V1_UX67_CR0,0,67,98_AL_.jpg",Saw,2004,UA,103 min,"Horror, Mystery, Thriller",7.6,"Two strangers awaken in a room with no recollection of how they got there, and soon discover they're pawns in a deadly game perpetrated by a notorious serial killer.",46,James Wan,Cary Elwes,Leigh Whannell,Danny Glover,Ken Leung,379020,"56,000,369" +"https://m.media-amazon.com/images/M/MV5BMjA0MjIyOTI3MF5BMl5BanBnXkFtZTcwODM5NTY5MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg","Synecdoche, New York",2008,R,124 min,Drama,7.6,"A theatre director struggles with his work, and the women in his life, as he creates a life-size replica of New York City inside a warehouse as part of his new play.",67,Charlie Kaufman,Philip Seymour Hoffman,Samantha Morton,Michelle Williams,Catherine Keener,83158,"3,081,925" +"https://m.media-amazon.com/images/M/MV5BMTgxMjQ4NzE5OF5BMl5BanBnXkFtZTcwNzkwOTkyMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Mysterious Skin,2004,R,105 min,Drama,7.6,"A teenage hustler and a young man obsessed with alien abductions cross paths, together discovering a horrible, liberating truth.",73,Gregg Araki,Brady Corbet,Joseph Gordon-Levitt,Elisabeth Shue,Chase Ellison,65939,"697,181" +"https://m.media-amazon.com/images/M/MV5BNjIwOGJhY2QtMTA5Yi00MDhlLWE5OTgtYmIzZDNlM2UwZjMyXkEyXkFqcGdeQXVyNTA4NzY1MzY@._V1_UX67_CR0,0,67,98_AL_.jpg",Jeux d'enfants,2003,R,93 min,"Comedy, Drama, Romance",7.6,"As adults, best friends Julien and Sophie continue the odd game they started as children -- a fearless competition to outdo one another with daring and outrageous stunts. While they often act out to relieve one another's pain, their game might be a way to avoid the fact that they are truly meant for one another.",45,Yann Samuell,Guillaume Canet,Marion Cotillard,Thibault Verhaeghe,Joséphine Lebas-Joly,67360,"548,707" +"https://m.media-amazon.com/images/M/MV5BZWI4ZTgwMzktNjk3Yy00OTlhLTg3YTAtMTA1MWVlMWJiOTRiXkEyXkFqcGdeQXVyMTAwMzUyOTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Un long dimanche de fiançailles,2004,U,133 min,"Drama, Mystery, Romance",7.6,"Tells the story of a young woman's relentless search for her fiancé, who has disappeared from the trenches of the Somme during World War One.",76,Jean-Pierre Jeunet,Audrey Tautou,Gaspard Ulliel,Jodie Foster,Dominique Pinon,70925,"6,167,817" +"https://m.media-amazon.com/images/M/MV5BMTUzNDgyMzg3Ml5BMl5BanBnXkFtZTcwMzIxNTAwMQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Station Agent,2003,R,89 min,"Comedy, Drama",7.6,"When his only friend dies, a man born with dwarfism moves to rural New Jersey to live a life of solitude, only to meet a chatty hot dog vendor and a woman dealing with her own personal loss.",81,Tom McCarthy,Peter Dinklage,Patricia Clarkson,Bobby Cannavale,Paul Benjamin,67370,"5,739,376" +"https://m.media-amazon.com/images/M/MV5BMjA4MjI2OTM5N15BMl5BanBnXkFtZTcwNDA1NjUzMw@@._V1_UX67_CR0,0,67,98_AL_.jpg",21 Grams,2003,UA,124 min,"Crime, Drama, Thriller",7.6,"A freak accident brings together a critically ill mathematician, a grieving mother, and a born-again ex-con.",70,Alejandro G. Iñárritu,Sean Penn,Benicio Del Toro,Naomi Watts,Danny Huston,224545,"16,290,476" +"https://m.media-amazon.com/images/M/MV5BYmNlNDVjMWUtZDZjNS00YTBmLWE3NGUtNDcxMzE0YTQ2ODMxXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Boksuneun naui geot,2002,R,129 min,"Crime, Drama, Thriller",7.6,"A recently laid off factory worker kidnaps his former boss' friend's daughter, hoping to use the ransom money to pay for his sister's kidney transplant.",56,Chan-wook Park,Kang-ho Song,Shin Ha-kyun,Bae Doona,Ji-Eun Lim,62659,"45,289" +"https://m.media-amazon.com/images/M/MV5BMTMxNzYzNzUzMV5BMl5BanBnXkFtZTYwNjcwMjE3._V1_UX67_CR0,0,67,98_AL_.jpg",Finding Neverland,2004,U,106 min,"Biography, Drama, Family",7.6,The story of Sir J.M. Barrie's friendship with a family who inspired him to create Peter Pan.,67,Marc Forster,Johnny Depp,Kate Winslet,Julie Christie,Radha Mitchell,198677,"51,680,613" +"https://m.media-amazon.com/images/M/MV5BNmE0YjdlYTktMTU4Ni00Mjk2LWI3NWMtM2RjNmFiOTk4YjYxL2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR1,0,67,98_AL_.jpg",25th Hour,2002,R,135 min,Drama,7.6,"Cornered by the DEA, convicted New York drug dealer Montgomery Brogan reevaluates his life in the 24 remaining hours before facing a seven-year jail term.",68,Spike Lee,Edward Norton,Barry Pepper,Philip Seymour Hoffman,Rosario Dawson,169708,"13,060,843" +"https://m.media-amazon.com/images/M/MV5BODNiZmY2MWUtMjFhMy00ZmM2LTg2MjYtNWY1OTY5NGU2MjdjL2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR0,0,67,98_AL_.jpg",The Butterfly Effect,2004,U,113 min,"Drama, Sci-Fi, Thriller",7.6,"Evan Treborn suffers blackouts during significant events of his life. As he grows up, he finds a way to remember these lost memories and a supernatural way to alter his life by reading his journal.",30,Eric Bress,J. Mackye Gruber,Ashton Kutcher,Amy Smart,Melora Walters,451479,"57,938,693" +"https://m.media-amazon.com/images/M/MV5BYTFkM2ViMmQtZmI5NS00MjQ2LWEyN2EtMTI1ZmNlZDU3MTZjXkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",28 Days Later...,2002,A,113 min,"Drama, Horror, Sci-Fi",7.6,"Four weeks after a mysterious, incurable virus spreads throughout the UK, a handful of survivors try to find sanctuary.",73,Danny Boyle,Cillian Murphy,Naomie Harris,Christopher Eccleston,Alex Palmer,376853,"45,064,915" +"https://m.media-amazon.com/images/M/MV5BMDc2MGYwYzAtNzE2Yi00YmU3LTkxMDUtODk2YjhiNDM5NDIyXkEyXkFqcGdeQXVyMTEwNDU1MzEy._V1_UX67_CR0,0,67,98_AL_.jpg",Batoru rowaiaru,2000,,114 min,"Action, Adventure, Drama",7.6,"In the future, the Japanese government captures a class of ninth-grade students and forces them to kill each other under the revolutionary ""Battle Royale"" act.",81,Kinji Fukasaku,Tatsuya Fujiwara,Aki Maeda,Tarô Yamamoto,Takeshi Kitano,169091, +"https://m.media-amazon.com/images/M/MV5BYmUzODQ5MGItZTZlNy00MDBhLWIxMmItMjg4Y2QyNDFlMWQ2XkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",The Royal Tenenbaums,2001,A,110 min,"Comedy, Drama",7.6,The eccentric members of a dysfunctional family reluctantly gather under the same roof for various reasons.,76,Wes Anderson,Gene Hackman,Gwyneth Paltrow,Anjelica Huston,Ben Stiller,266842,"52,364,010" +"https://m.media-amazon.com/images/M/MV5BNDhjMzc3ZTgtY2Y4MC00Y2U3LWFiMDctZGM3MmM4N2YzNDQ5XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Y tu mamá también,2001,A,106 min,Drama,7.6,"In Mexico, two teenage boys and an attractive older woman embark on a road trip and learn a thing or two about life, friendship, sex, and each other.",88,Alfonso Cuarón,Maribel Verdú,Gael García Bernal,Daniel Giménez Cacho,Ana López Mercado,115827,"13,622,333" +"https://m.media-amazon.com/images/M/MV5BNjQ3NWNlNmQtMTE5ZS00MDdmLTlkZjUtZTBlM2UxMGFiMTU3XkEyXkFqcGdeQXVyNjUwNzk3NDc@._V1_UX67_CR0,0,67,98_AL_.jpg",Harry Potter and the Sorcerer's Stone,2001,U,152 min,"Adventure, Family, Fantasy",7.6,"An orphaned boy enrolls in a school of wizardry, where he learns the truth about himself, his family and the terrible evil that haunts the magical world.",64,Chris Columbus,Daniel Radcliffe,Rupert Grint,Richard Harris,Maggie Smith,658185,"317,575,550" +"https://m.media-amazon.com/images/M/MV5BMTAxMDE4Mzc3ODNeQTJeQWpwZ15BbWU4MDY2Mjg4MDcx._V1_UX67_CR0,0,67,98_AL_.jpg",The Others,2001,PG-13,101 min,"Horror, Mystery, Thriller",7.6,A woman who lives in her darkened old family house with her two photosensitive children becomes convinced that the home is haunted.,74,Alejandro Amenábar,Nicole Kidman,Christopher Eccleston,Fionnula Flanagan,Alakina Mann,337651,"96,522,687" +"https://m.media-amazon.com/images/M/MV5BYjg5ZDkzZWEtZDQ2ZC00Y2ViLThhMzYtMmIxZDYzYTY2Y2Y2XkEyXkFqcGdeQXVyODAwMTU1MTE@._V1_UY98_CR1,0,67,98_AL_.jpg",Blow,2001,R,124 min,"Biography, Crime, Drama",7.6,"The story of how George Jung, along with the Medellín Cartel headed by Pablo Escobar, established the American cocaine market in the 1970s in the United States.",52,Ted Demme,Johnny Depp,Penélope Cruz,Franka Potente,Rachel Griffiths,240714,"52,990,775" +"https://m.media-amazon.com/images/M/MV5BYWFlY2E3ODQtZWNiNi00ZGU4LTkzNWEtZTQ2ZTViMWRhYjIzL2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Enemy at the Gates,2001,A,131 min,"Drama, History, War",7.6,A Russian and a German sniper play a game of cat-and-mouse during the Battle of Stalingrad.,53,Jean-Jacques Annaud,Jude Law,Ed Harris,Joseph Fiennes,Rachel Weisz,243729,"51,401,758" +"https://m.media-amazon.com/images/M/MV5BZTI3YzZjZjEtMDdjOC00OWVjLTk0YmYtYzI2MGMwZjFiMzBlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Minority Report,2002,A,145 min,"Action, Crime, Mystery",7.6,"In a future where a special police unit is able to arrest murderers before they commit their crimes, an officer from that unit is himself accused of a future murder.",80,Steven Spielberg,Tom Cruise,Colin Farrell,Samantha Morton,Max von Sydow,508417,"132,072,926" +"https://m.media-amazon.com/images/M/MV5BMTA3OTYxMzg0MDFeQTJeQWpwZ15BbWU4MDY1MjY0MTEx._V1_UX67_CR0,0,67,98_AL_.jpg",The Hurricane,1999,R,146 min,"Biography, Drama, Sport",7.6,"The story of Rubin 'Hurricane' Carter, a boxer wrongly imprisoned for murder, and the people who aided in his fight to prove his innocence.",74,Norman Jewison,Denzel Washington,Vicellous Shannon,Deborah Kara Unger,Liev Schreiber,91557,"50,668,906" +"https://m.media-amazon.com/images/M/MV5BZTM2ZGJmNjQtN2UyOS00NjcxLWFjMDktMDE2NzMyNTZlZTBiXkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",American Psycho,2000,A,101 min,"Comedy, Crime, Drama",7.6,"A wealthy New York City investment banking executive, Patrick Bateman, hides his alternate psychopathic ego from his co-workers and friends as he delves deeper into his violent, hedonistic fantasies.",64,Mary Harron,Christian Bale,Justin Theroux,Josh Lucas,Bill Sage,490062,"15,070,285" +"https://m.media-amazon.com/images/M/MV5BMmU5ZjFmYjQtYmNjZC00Yjk4LWI1ZTQtZDJiMjM0YjQyNDU0L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Lola rennt,1998,UA,81 min,"Crime, Drama, Thriller",7.6,"After a botched money delivery, Lola has 20 minutes to come up with 100,000 Deutschmarks.",77,Tom Tykwer,Franka Potente,Moritz Bleibtreu,Herbert Knaup,Nina Petri,188317,"7,267,585" +"https://m.media-amazon.com/images/M/MV5BYjEzMTM2NjAtNWFmZC00MTVlLTgyMmQtMGQyNTFjZDk5N2NmXkEyXkFqcGdeQXVyNzQ1ODk3MTQ@._V1_UX67_CR0,0,67,98_AL_.jpg",The Thin Red Line,1998,A,170 min,"Drama, War",7.6,"Adaptation of James Jones' autobiographical 1962 novel, focusing on the conflict at Guadalcanal during the second World War.",78,Terrence Malick,Jim Caviezel,Sean Penn,Nick Nolte,Kirk Acevedo,172710,"36,400,491" +"https://m.media-amazon.com/images/M/MV5BODkxNGQ1NWYtNzg0Ny00Yjg3LThmZTItMjE2YjhmZTQ0ODY5XkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Mulan,1998,U,88 min,"Animation, Adventure, Family",7.6,"To save her father from death in the army, a young maiden secretly goes in his place and becomes one of China's greatest heroines in the process.",71,Tony Bancroft,Barry Cook,Ming-Na Wen,Eddie Murphy,BD Wong,256906,"120,620,254" +"https://m.media-amazon.com/images/M/MV5BNjA2ZDY3ZjYtZmNiMC00MDU5LTgxMWEtNzk1YmI3NzdkMTU0XkEyXkFqcGdeQXVyNjQyMjcwNDM@._V1_UX67_CR0,0,67,98_AL_.jpg",Fear and Loathing in Las Vegas,1998,R,118 min,"Adventure, Comedy, Drama",7.6,An oddball journalist and his psychopathic lawyer travel to Las Vegas for a series of psychedelic escapades.,41,Terry Gilliam,Johnny Depp,Benicio Del Toro,Tobey Maguire,Michael Lee Gogin,259753,"10,680,275" +"https://m.media-amazon.com/images/M/MV5BMTkyNTAzZDYtNWUzYi00ODVjLTliZjYtNjc2YzJmODZhNTg3XkEyXkFqcGdeQXVyNjUxMDQ0MTg@._V1_UY98_CR6,0,67,98_AL_.jpg",Funny Games,1997,A,108 min,"Crime, Drama, Thriller",7.6,"Two violent young men take a mother, father, and son hostage in their vacation cabin and force them to play sadistic ""games"" with one another for their own amusement.",69,Michael Haneke,Susanne Lothar,Ulrich Mühe,Arno Frisch,Frank Giering,65058, +"https://m.media-amazon.com/images/M/MV5BMGExOGExM2UtNWM5ZS00OWEzLTllNzYtM2NlMTJlYjBlZTJkXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Dark City,1998,A,100 min,"Mystery, Sci-Fi, Thriller",7.6,"A man struggles with memories of his past, which include a wife he cannot remember and a nightmarish world no one else ever seems to wake up from.",66,Alex Proyas,Rufus Sewell,Kiefer Sutherland,Jennifer Connelly,William Hurt,187927,"14,378,331" +"https://m.media-amazon.com/images/M/MV5BMzk1MmI4NzAtOGRiNS00YjY1LTllNmEtZDhiZDM4MjU2NTMxXkEyXkFqcGdeQXVyNjc3MjQzNTI@._V1_UY98_CR1,0,67,98_AL_.jpg",Sleepers,1996,UA,147 min,"Crime, Drama, Thriller",7.6,"After a prank goes disastrously wrong, a group of boys are sent to a detention center where they are brutalized. Thirteen years later, an unexpected random encounter with a former guard gives them a chance for revenge.",49,Barry Levinson,Robert De Niro,Kevin Bacon,Brad Pitt,Jason Patric,186734,"49,100,000" +"https://m.media-amazon.com/images/M/MV5BYWUxOWY4NDctMDFmMS00ZTQwLWExMGEtODg0ZWNhOTE5NzZmXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UY98_CR0,0,67,98_AL_.jpg",Lost Highway,1997,A,134 min,"Mystery, Thriller",7.6,"Anonymous videotapes presage a musician's murder conviction, and a gangster's girlfriend leads a mechanic astray.",52,David Lynch,Bill Pullman,Patricia Arquette,John Roselius,Louis Eppolito,131101,"3,796,699" +"https://m.media-amazon.com/images/M/MV5BNzk1MjU3MDQyMl5BMl5BanBnXkFtZTcwNjc1OTM2MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Sense and Sensibility,1995,U,136 min,"Drama, Romance",7.6,"Rich Mr. Dashwood dies, leaving his second wife and her three daughters poor by the rules of inheritance. The two eldest daughters are the title opposites.",84,Ang Lee,Emma Thompson,Kate Winslet,James Fleet,Tom Wilkinson,102598,"43,182,776" +"https://m.media-amazon.com/images/M/MV5BZjI0ZWFiMmQtMjRlZi00ZmFhLWI4NmYtMjQ5YmY0MzIyMzRiXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Die Hard: With a Vengeance,1995,A,128 min,"Action, Adventure, Thriller",7.6,"John McClane and a Harlem store owner are targeted by German terrorist Simon in New York City, where he plans to rob the Federal Reserve Building.",58,John McTiernan,Bruce Willis,Jeremy Irons,Samuel L. Jackson,Graham Greene,364420,"100,012,499" +"https://m.media-amazon.com/images/M/MV5BYTJlZmQ1OTAtODQzZi00NGIzLWI1MmEtZGE4NjFlOWRhODIyXkEyXkFqcGdeQXVyNTc1NTQxODI@._V1_UY98_CR0,0,67,98_AL_.jpg",Dead Man,1995,R,121 min,"Adventure, Drama, Fantasy",7.6,"On the run after murdering a man, accountant William Blake encounters a strange aboriginal American man named Nobody who prepares him for his journey into the spiritual world.",62,Jim Jarmusch,Johnny Depp,Gary Farmer,Crispin Glover,Lance Henriksen,90442,"1,037,847" +"https://m.media-amazon.com/images/M/MV5BNmRiZDZkN2EtNWI5ZS00ZDg3LTgyNDItMWI5NjVlNmE5ODJiXkEyXkFqcGdeQXVyMjQwMjk0NjI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Bridges of Madison County,1995,A,135 min,"Drama, Romance",7.6,Photographer Robert Kincaid wanders into the life of housewife Francesca Johnson for four days in the 1960s.,69,Clint Eastwood,Clint Eastwood,Meryl Streep,Annie Corley,Victor Slezak,73172,"71,516,617" +"https://m.media-amazon.com/images/M/MV5BNjEzYjJmNzgtNDkwNy00MTQ4LTlmMWMtNzA4YjE2NjI0ZDg4XkEyXkFqcGdeQXVyNjU0OTQ0OTY@._V1_UX67_CR0,0,67,98_AL_.jpg",Apollo 13,PG,U,140 min,"Adventure, Drama, History",7.6,NASA must devise a strategy to return Apollo 13 to Earth safely after the spacecraft undergoes massive internal damage putting the lives of the three astronauts on board in jeopardy.,77,Ron Howard,Tom Hanks,Bill Paxton,Kevin Bacon,Gary Sinise,269197,"173,837,933" +"https://m.media-amazon.com/images/M/MV5BNTliYTI1YTctMTE0Mi00NDM0LThjZDgtYmY3NGNiODBjZjAwXkEyXkFqcGdeQXVyMTAwMzUyOTc@._V1_UX67_CR0,0,67,98_AL_.jpg",Trois couleurs: Blanc,1994,U,92 min,"Comedy, Drama, Romance",7.6,"After his wife divorces him, a Polish immigrant plots to get even with her.",88,Krzysztof Kieslowski,Zbigniew Zamachowski,Julie Delpy,Janusz Gajos,Jerzy Stuhr,64390,"1,464,625" +"https://m.media-amazon.com/images/M/MV5BYjcxMzM3OWMtNmM3Yy00YzBkLTkxMmQtMDk4MmM3Y2Y4MDliL2ltYWdlXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",Falling Down,1993,R,113 min,"Action, Crime, Drama",7.6,An ordinary man frustrated with the various flaws he sees in society begins to psychotically and violently lash out against them.,56,Joel Schumacher,Michael Douglas,Robert Duvall,Barbara Hershey,Rachel Ticotin,171640,"40,903,593" +"https://m.media-amazon.com/images/M/MV5BMTM5MDY5MDQyOV5BMl5BanBnXkFtZTgwMzM3NzMxMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Dazed and Confused,1993,U,102 min,Comedy,7.6,The adventures of high school and junior high students on the last day of school in May 1976.,78,Richard Linklater,Jason London,Wiley Wiggins,Matthew McConaughey,Rory Cochrane,165465,"7,993,039" +"https://m.media-amazon.com/images/M/MV5BMTQxNDYzMTg1M15BMl5BanBnXkFtZTgwNzk4MDgxMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",My Cousin Vinny,1992,UA,120 min,"Comedy, Crime",7.6,"Two New Yorkers accused of murder in rural Alabama while on their way back to college call in the help of one of their cousins, a loudmouth lawyer with no trial experience.",68,Jonathan Lynn,Joe Pesci,Marisa Tomei,Ralph Macchio,Mitchell Whitfield,107325,"52,929,168" +"https://m.media-amazon.com/images/M/MV5BMTY5NjI2MjQxMl5BMl5BanBnXkFtZTgwMDA2MzM2NzE@._V1_UY98_CR0,0,67,98_AL_.jpg",Omohide poro poro,1991,U,118 min,"Animation, Drama, Romance",7.6,A twenty-seven-year-old office worker travels to the countryside while reminiscing about her childhood in Tokyo.,90,Isao Takahata,Miki Imai,Toshirô Yanagiba,Yoko Honna,Mayumi Izuka,27071,"453,243" +"https://m.media-amazon.com/images/M/MV5BNjg5ZDM0MTEtYTZmNC00NDJiLWI5MTktYzk4N2QxY2IxZTc2L2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UY98_CR3,0,67,98_AL_.jpg",Delicatessen,1991,R,99 min,"Comedy, Crime",7.6,Post-apocalyptic surrealist black comedy about the landlord of an apartment building who occasionally prepares a delicacy for his odd tenants.,66,Marc Caro,Jean-Pierre Jeunet,Marie-Laure Dougnac,Dominique Pinon,Pascal Benezech,80487,"1,794,187" +"https://m.media-amazon.com/images/M/MV5BMzFkM2YwOTQtYzk2Mi00N2VlLWE3NTItN2YwNDg1YmY0ZDNmXkEyXkFqcGdeQXVyMTMxODk2OTU@._V1_UX67_CR0,0,67,98_AL_.jpg",Home Alone,1990,U,103 min,"Comedy, Family",7.6,An eight-year-old troublemaker must protect his house from a pair of burglars when he is accidentally left home alone by his family during Christmas vacation.,63,Chris Columbus,Macaulay Culkin,Joe Pesci,Daniel Stern,John Heard,488817,"285,761,243" +"https://m.media-amazon.com/images/M/MV5BNWFlYWY2YjYtNjdhNi00MzVlLTg2MTMtMWExNzg4NmM5NmEzXkEyXkFqcGdeQXVyMDk5Mzc5MQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",The Godfather: Part III,1990,A,162 min,"Crime, Drama",7.6,"Follows Michael Corleone, now in his 60s, as he seeks to free his family from crime and find a suitable successor to his empire.",60,Francis Ford Coppola,Al Pacino,Diane Keaton,Andy Garcia,Talia Shire,359809,"66,666,062" +"https://m.media-amazon.com/images/M/MV5BMjE0ODEwNjM2NF5BMl5BanBnXkFtZTcwMjU2Mzg3NA@@._V1_UX67_CR0,0,67,98_AL_.jpg",When Harry Met Sally...,1989,UA,95 min,"Comedy, Drama, Romance",7.6,"Harry and Sally have known each other for years, and are very good friends, but they fear sex would ruin the friendship.",76,Rob Reiner,Billy Crystal,Meg Ryan,Carrie Fisher,Bruno Kirby,195663,"92,823,600" +"https://m.media-amazon.com/images/M/MV5BN2JlZTBhYTEtZDE3OC00NTA3LTk5NTQtNjg5M2RjODllM2M0XkEyXkFqcGdeQXVyNjk1Njg5NTA@._V1_UX67_CR0,0,67,98_AL_.jpg",The Little Mermaid,1989,U,83 min,"Animation, Family, Fantasy",7.6,A mermaid princess makes a Faustian bargain in an attempt to become human and win a prince's love.,88,Ron Clements,John Musker,Jodi Benson,Samuel E. Wright,Rene Auberjonois,237696,"111,543,479" +"https://m.media-amazon.com/images/M/MV5BODk1ZWM4ZjItMjFhZi00MDMxLTgxNmYtODFhNWZlZTkwM2UwXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_UX67_CR0,0,67,98_AL_.jpg",The Naked Gun: From the Files of Police Squad!,1988,U,85 min,"Comedy, Crime",7.6,Incompetent police Detective Frank Drebin must foil an attempt to assassinate Queen Elizabeth II.,76,David Zucker,Leslie Nielsen,Priscilla Presley,O.J. Simpson,Ricardo Montalban,152871,"78,756,177" +"https://m.media-amazon.com/images/M/MV5BM2I1ZWNkYjEtYWY3ZS00MmMwLWI5OTEtNWNkZjNiYjIwNzY0XkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg","Planes, Trains & Automobiles",1987,U,93 min,"Comedy, Drama",7.6,A man must struggle to travel home for Thanksgiving with a lovable oaf of a shower curtain ring salesman as his only companion.,72,John Hughes,Steve Martin,John Candy,Laila Robins,Michael McKean,124773,"49,530,280" +"https://m.media-amazon.com/images/M/MV5BZTllNWNlZjctMWQwMS00ZDc3LTg5ZjMtNzhmNzhjMmVhYTFlXkEyXkFqcGdeQXVyNTc1NTQxODI@._V1_UX67_CR0,0,67,98_AL_.jpg",Lethal Weapon,1987,A,109 min,"Action, Crime, Thriller",7.6,Two newly paired cops who are complete opposites must put aside their differences in order to catch a gang of drug smugglers.,68,Richard Donner,Mel Gibson,Danny Glover,Gary Busey,Mitchell Ryan,236894,"65,207,127" +"https://m.media-amazon.com/images/M/MV5BZmI5YzM1MjItMzFmNy00NGFkLThlMDUtZjZmYTZkM2QxMjU3XkEyXkFqcGdeQXVyNzkwMjQ5NzM@._V1_UX67_CR0,0,67,98_AL_.jpg",Blood Simple,1984,A,99 min,"Crime, Drama, Thriller",7.6,"The owner of a seedy small-town Texas bar discovers that one of his employees is having an affair with his wife. A chaotic chain of misunderstandings, lies and mischief ensues after he devises a plot to have them murdered.",82,Joel Coen,Ethan Coen,John Getz,Frances McDormand,Dan Hedaya,87745,"2,150,000" +"https://m.media-amazon.com/images/M/MV5BNWQ4MGZlZmYtZjY0MS00N2JhLWE0NmMtOTMwMTk4NDQ4NjE2XkEyXkFqcGdeQXVyNTI4MjkwNjA@._V1_UX67_CR0,0,67,98_AL_.jpg",On Golden Pond,1981,UA,109 min,Drama,7.6,"Norman is a curmudgeon with an estranged relationship with his daughter Chelsea. At Golden Pond, he and his wife nevertheless agree to care for Billy, the son of Chelsea's new boyfriend, and a most unexpected relationship blooms.",68,Mark Rydell,Katharine Hepburn,Henry Fonda,Jane Fonda,Doug McKeon,27650,"119,285,432" +"https://m.media-amazon.com/images/M/MV5BN2VlNjNhZWQtMTY2OC00Y2E1LWJkNGUtMDU4M2ViNzliMGYwXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Mad Max 2,1981,A,96 min,"Action, Adventure, Sci-Fi",7.6,"In the post-apocalyptic Australian wasteland, a cynical drifter agrees to help a small, gasoline-rich community escape a horde of bandits.",77,George Miller,Mel Gibson,Bruce Spence,Michael Preston,Max Phipps,166588,"12,465,371" +"https://m.media-amazon.com/images/M/MV5BYTU2MWRiMTMtYzAzZi00NGYzLTlkMDEtNWQ3MzZlNTJlNzZkL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Warriors,1979,UA,92 min,"Action, Crime, Thriller",7.6,"In the near future, a charismatic leader summons the street gangs of New York City in a bid to take it over. When he is killed, The Warriors are falsely blamed and now must fight their way home while every other gang is hunting them down.",65,Walter Hill,Michael Beck,James Remar,Dorsey Wright,Brian Tyler,93878,"22,490,039" +"https://m.media-amazon.com/images/M/MV5BMGQ0OGM5YjItYzYyMi00NmVmLWI3ODMtMTY2NGRkZmI5MWU2XkEyXkFqcGdeQXVyMzI0NDc4ODY@._V1_UX67_CR0,0,67,98_AL_.jpg",The Muppet Movie,1979,U,95 min,"Adventure, Comedy, Family",7.6,"Kermit and his newfound friends trek across America to find success in Hollywood, but a frog legs merchant is after Kermit.",74,James Frawley,Jim Henson,Frank Oz,Jerry Nelson,Richard Hunt,32802,"76,657,000" +"https://m.media-amazon.com/images/M/MV5BNDQ3MzNjMDItZjE0ZS00ZTYxLTgxNTAtM2I4YjZjNWFjYjJlL2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Escape from Alcatraz,1979,A,112 min,"Action, Biography, Crime",7.6,"Alcatraz is the most secure prison of its time. It is believed that no one can ever escape from it, until three daring men make a possible successful attempt at escaping from one of the most infamous prisons in the world.",76,Don Siegel,Clint Eastwood,Patrick McGoohan,Roberts Blossom,Jack Thibeau,121731,"43,000,000" +"https://m.media-amazon.com/images/M/MV5BMzZiODUwNzktNzBiZi00MDc4LThkMGMtZmE3MTE0M2E1MTM3L2ltYWdlXkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_UX67_CR0,0,67,98_AL_.jpg",Watership Down,1978,U,91 min,"Animation, Adventure, Drama",7.6,"Hoping to escape destruction by human developers and save their community, a colony of rabbits, led by Hazel and Fiver, seek out a safe place to set up a new warren.",64,Martin Rosen,John Hubley,John Hurt,Richard Briers,Ralph Richardson,33656, +"https://m.media-amazon.com/images/M/MV5BNDU1MjQ0YWMtMWQ2MS00NTdmLTg1MGItNDA5NTNkNTRhOTIyXkEyXkFqcGdeQXVyNTIzOTk5ODM@._V1_UX67_CR0,0,67,98_AL_.jpg",Midnight Express,1978,A,121 min,"Biography, Crime, Drama",7.6,"Billy Hayes, an American college student, is caught smuggling drugs out of Turkey and thrown into prison.",59,Alan Parker,Brad Davis,Irene Miracle,Bo Hopkins,Paolo Bonacelli,73662,"35,000,000" +"https://m.media-amazon.com/images/M/MV5BMjM1NjE5NjQxN15BMl5BanBnXkFtZTgwMjYzMzQxMDE@._V1_UX67_CR0,0,67,98_AL_.jpg",Close Encounters of the Third Kind,1977,U,138 min,"Drama, Sci-Fi",7.6,"Roy Neary, an electric lineman, watches how his quiet and ordinary daily life turns upside down after a close encounter with a UFO.",90,Steven Spielberg,Richard Dreyfuss,François Truffaut,Teri Garr,Melinda Dillon,184966,"132,088,635" +"https://m.media-amazon.com/images/M/MV5BYzZhODNiOWYtMmNkNS00OTFhLTkzYzktYTQ4ZmNmZWMyN2ZiL2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",The Long Goodbye,1973,A,112 min,"Comedy, Crime, Drama",7.6,"Private investigator Philip Marlowe helps a friend out of a jam, but in doing so gets implicated in his wife's murder.",87,Robert Altman,Elliott Gould,Nina van Pallandt,Sterling Hayden,Mark Rydell,26337,"959,000" +"https://m.media-amazon.com/images/M/MV5BYjRmY2VjN2ItMzBmYy00YTRjLWFiMTgtNGZhNWJjMjk3YjZjXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Giù la testa,1971,PG,157 min,"Drama, War, Western",7.6,A low-life bandit and an I.R.A. explosives expert rebel against the government and become heroes of the Mexican Revolution.,77,Sergio Leone,Rod Steiger,James Coburn,Romolo Valli,Maria Monti,30144,"696,690" +"https://m.media-amazon.com/images/M/MV5BMzAyNDUwYzUtN2NlMC00ODliLWExMjgtMGMzNmYzZmUwYTg1XkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Kelly's Heroes,1970,GP,144 min,"Adventure, Comedy, War",7.6,A group of U.S. soldiers sneaks across enemy lines to get their hands on a secret stash of Nazi treasure.,50,Brian G. Hutton,Clint Eastwood,Telly Savalas,Don Rickles,Carroll O'Connor,45338,"1,378,435" +"https://m.media-amazon.com/images/M/MV5BMjAwMTExODExNl5BMl5BanBnXkFtZTgwMjM2MDgyMTE@._V1_UX67_CR0,0,67,98_AL_.jpg",The Jungle Book,1967,U,78 min,"Animation, Adventure, Family",7.6,Bagheera the Panther and Baloo the Bear have a difficult time trying to convince a boy to leave the jungle for human civilization.,65,Wolfgang Reitherman,Phil Harris,Sebastian Cabot,Louis Prima,Bruce Reitherman,166409,"141,843,612" +"https://m.media-amazon.com/images/M/MV5BYTE4YWU0NjAtMjNiYi00MTNiLTgwYzctZjk0YjY5NGVhNWQwXkEyXkFqcGdeQXVyMTY5Nzc4MDY@._V1_UY98_CR0,0,67,98_AL_.jpg",Blowup,1966,A,111 min,"Drama, Mystery, Thriller",7.6,A fashion photographer unknowingly captures a death on film after following two lovers in a park.,82,Michelangelo Antonioni,David Hemmings,Vanessa Redgrave,Sarah Miles,John Castle,56513, +"https://m.media-amazon.com/images/M/MV5BZjQyMGUwNzAtNTc2MC00Y2FjLThlM2ItZGRjNzM0OWVmZGYyXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",A Hard Day's Night,1964,U,87 min,"Comedy, Music, Musical",7.6,"Over two ""typical"" days in the life of The Beatles, the boys struggle to keep themselves and Sir Paul McCartney's mischievous grandfather in check while preparing for a live television performance.",96,Richard Lester,John Lennon,Paul McCartney,George Harrison,Ringo Starr,40351,"13,780,024" +"https://m.media-amazon.com/images/M/MV5BNGEwMTRmZTQtMDY4Ni00MTliLTk5ZmMtOWMxYWMyMTllMDg0L2ltYWdlL2ltYWdlXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Breakfast at Tiffany's,1961,A,115 min,"Comedy, Drama, Romance",7.6,"A young New York socialite becomes interested in a young man who has moved into her apartment building, but her past threatens to get in the way.",76,Blake Edwards,Audrey Hepburn,George Peppard,Patricia Neal,Buddy Ebsen,166544, +"https://m.media-amazon.com/images/M/MV5BODk3YjdjZTItOGVhYi00Mjc2LTgzMDAtMThmYTVkNTBlMWVkXkEyXkFqcGdeQXVyNDY2MTk1ODk@._V1_UX67_CR0,0,67,98_AL_.jpg",Giant,1956,G,201 min,"Drama, Western",7.6,Sprawling epic covering the life of a Texas cattle rancher and his family and associates.,84,George Stevens,Elizabeth Taylor,Rock Hudson,James Dean,Carroll Baker,34075, +"https://m.media-amazon.com/images/M/MV5BM2U3YzkxNGMtYWE0YS00ODk0LTk1ZGEtNjk3ZTE0MTk4MzJjXkEyXkFqcGdeQXVyNDk0MDg4NDk@._V1_UX67_CR0,0,67,98_AL_.jpg",From Here to Eternity,1953,Passed,118 min,"Drama, Romance, War",7.6,"In Hawaii in 1941, a private is cruelly punished for not boxing on his unit's team, while his captain's wife and second-in-command are falling in love.",85,Fred Zinnemann,Burt Lancaster,Montgomery Clift,Deborah Kerr,Donna Reed,43374,"30,500,000" +"https://m.media-amazon.com/images/M/MV5BZTBmMjUyMjItYTM4ZS00MjAwLWEyOGYtYjMyZTUxN2I3OTMxXkEyXkFqcGdeQXVyNjc1NTYyMjg@._V1_UX67_CR0,0,67,98_AL_.jpg",Lifeboat,1944,,97 min,"Drama, War",7.6,Several survivors of a torpedoed merchant ship in World War II find themselves in the same lifeboat with one of the crew members of the U-boat that sank their ship.,78,Alfred Hitchcock,Tallulah Bankhead,John Hodiak,Walter Slezak,William Bendix,26471, +"https://m.media-amazon.com/images/M/MV5BMTY5ODAzMTcwOF5BMl5BanBnXkFtZTcwMzYxNDYyNA@@._V1_UX67_CR0,0,67,98_AL_.jpg",The 39 Steps,1935,,86 min,"Crime, Mystery, Thriller",7.6,"A man in London tries to help a counter-espionage Agent. But when the Agent is killed, and the man stands accused, he must go on the run to save himself and stop a spy ring which is trying to steal top secret information.",93,Alfred Hitchcock,Robert Donat,Madeleine Carroll,Lucie Mannheim,Godfrey Tearle,51853, diff --git a/registry.yaml b/registry.yaml index 68a2a49..b7baa0a 100644 --- a/registry.yaml +++ b/registry.yaml @@ -1278,3 +1278,12 @@ tags: - vision - embeddings + +- title: Batch processing with the Batch API + path: examples/batch_processing.ipynb + date: 2024-04-24 + authors: + - katiagg + tags: + - batch + - completions \ No newline at end of file From 94fb71e171c6ef8faad29f76a9bd4b565a6f3f6c Mon Sep 17 00:00:00 2001 From: Alexander Veit Date: Sun, 28 Apr 2024 09:42:07 +0200 Subject: [PATCH 38/44] .gitignore symlinks to lib64 (#1162) Signed-off-by: Alexander Veit Co-authored-by: Shyamal H Anadkat --- .gitignore | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index 0f2a458..62c3403 100644 --- a/.gitignore +++ b/.gitignore @@ -15,7 +15,7 @@ downloads/ eggs/ .eggs/ lib/ -lib64/ +lib64 parts/ sdist/ var/ @@ -139,4 +139,4 @@ tmp_* examples/fine-tuned_qa/local_cache/* # PyCharm files -.idea/ \ No newline at end of file +.idea/ From 2362d96acc8e41784585c65ea1012b5cce05ef01 Mon Sep 17 00:00:00 2001 From: Pookam90 <60406274+Pookam90@users.noreply.github.com> Date: Sun, 28 Apr 2024 13:13:46 +0530 Subject: [PATCH 39/44] Update README.md (#1131) --- examples/vector_databases/README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/examples/vector_databases/README.md b/examples/vector_databases/README.md index 03e802d..ebbb8fe 100644 --- a/examples/vector_databases/README.md +++ b/examples/vector_databases/README.md @@ -10,6 +10,7 @@ Each provider has their own named directory, with a standard notebook to introdu - [AnalyticDB](https://www.alibabacloud.com/help/en/analyticdb-for-postgresql/latest/get-started-with-analyticdb-for-postgresql) - [Cassandra/Astra DB](https://docs.datastax.com/en/astra-serverless/docs/vector-search/qandasimsearch-quickstart.html) - [Azure AI Search](https://learn.microsoft.com/azure/search/search-get-started-vector) +- [Azure SQL Database](https://learn.microsoft.com/azure/azure-sql/database/ai-artificial-intelligence-intelligent-applications?view=azuresql) - [Chroma](https://docs.trychroma.com/getting-started) - [Elasticsearch](https://www.elastic.co/guide/en/elasticsearch/reference/current/knn-search.html) - [Hologres](https://www.alibabacloud.com/help/en/hologres/latest/procedure-to-use-hologres) From 02525b5f3c97919959007cd55982fb6ef3abc788 Mon Sep 17 00:00:00 2001 From: Colin Jarvis <119888926+colin-openai@users.noreply.github.com> Date: Thu, 2 May 2024 05:03:08 -0400 Subject: [PATCH 40/44] Adding notebook showing how to use tool_required (#1171) Co-authored-by: Colin Jarvis --- ...g_tool_required_for_customer_service.ipynb | 532 ++++++++++++++++++ registry.yaml | 17 +- 2 files changed, 545 insertions(+), 4 deletions(-) create mode 100644 examples/Using_tool_required_for_customer_service.ipynb diff --git a/examples/Using_tool_required_for_customer_service.ipynb b/examples/Using_tool_required_for_customer_service.ipynb new file mode 100644 index 0000000..83ab19b --- /dev/null +++ b/examples/Using_tool_required_for_customer_service.ipynb @@ -0,0 +1,532 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "dd290eb8-ad4f-461d-b5c5-64c22fc9cc24", + "metadata": {}, + "source": [ + "# Using Tool Required for Customer Service\n", + "\n", + "The `ChatCompletion` endpoint now includes the ability to specify whether a tool **must** be called every time, by adding `tool_choice='required'` as a parameter. \n", + "\n", + "This adds an element of determinism to how you build your wrapping application, as you can count on a tool being provided with every call. We'll demonstrate here how this can be useful for a contained flow like customer service, where having the ability to define specific exit points gives more control.\n", + "\n", + "The notebook concludes with a multi-turn evaluation, where we spin up a customer GPT to imitate our customer and test the LLM customer service agent we've set up." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ba4759e0-ecfd-48f7-bbd8-79ea61aef872", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "from openai import OpenAI\n", + "import os\n", + "\n", + "client = OpenAI()\n", + "GPT_MODEL = 'gpt-4-turbo'" + ] + }, + { + "cell_type": "markdown", + "id": "a33904a9-ba9f-4315-9e77-bb966c641dab", + "metadata": {}, + "source": [ + "## Config definition\n", + "\n", + "We will define `tools` and `instructions` which our LLM customer service agent will use. It will source the right instructions for the problem the customer is facing, and use those to answer the customer's query.\n", + "\n", + "As this is a demo example, we'll ask the model to make up values where it doesn't have external systems to source info." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "31fd0251-f741-46d6-979b-a2bbc1f95571", + "metadata": {}, + "outputs": [], + "source": [ + "# The tools our customer service LLM will use to communicate\n", + "tools = [\n", + "{\n", + " \"type\": \"function\",\n", + " \"function\": {\n", + " \"name\": \"speak_to_user\",\n", + " \"description\": \"Use this to speak to the user to give them information and to ask for anything required for their case.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"message\": {\n", + " \"type\": \"string\",\n", + " \"description\": \"Text of message to send to user. Can cover multiple topics.\"\n", + " }\n", + " },\n", + " \"required\": [\"message\"]\n", + " }\n", + " }\n", + "},\n", + "{\n", + " \"type\": \"function\",\n", + " \"function\": {\n", + " \"name\": \"get_instructions\",\n", + " \"description\": \"Used to get instructions to deal with the user's problem.\",\n", + " \"parameters\": {\n", + " \"type\": \"object\",\n", + " \"properties\": {\n", + " \"problem\": {\n", + " \"type\": \"string\",\n", + " \"enum\": [\"fraud\",\"refund\",\"information\"],\n", + " \"description\": \"\"\"The type of problem the customer has. Can be one of:\n", + " - fraud: Required to report and resolve fraud.\n", + " - refund: Required to submit a refund request.\n", + " - information: Used for any other informational queries.\"\"\"\n", + " }\n", + " },\n", + " \"required\": [\n", + " \"problem\"\n", + " ]\n", + " }\n", + " }\n", + "}\n", + "]\n", + "\n", + "# Example instructions that the customer service assistant can consult for relevant customer problems\n", + "INSTRUCTIONS = [ {\"type\": \"fraud\",\n", + " \"instructions\": \"\"\"• Ask the customer to describe the fraudulent activity, including the the date and items involved in the suspected fraud.\n", + "• Offer the customer a refund.\n", + "• Report the fraud to the security team for further investigation.\n", + "• Thank the customer for contacting support and invite them to reach out with any future queries.\"\"\"},\n", + " {\"type\": \"refund\",\n", + " \"instructions\": \"\"\"• Confirm the customer's purchase details and verify the transaction in the system.\n", + "• Check the company's refund policy to ensure the request meets the criteria.\n", + "• Ask the customer to provide a reason for the refund.\n", + "• Submit the refund request to the accounting department.\n", + "• Inform the customer of the expected time frame for the refund processing.\n", + "• Thank the customer for contacting support and invite them to reach out with any future queries.\"\"\"},\n", + " {\"type\": \"information\",\n", + " \"instructions\": \"\"\"• Greet the customer and ask how you can assist them today.\n", + "• Listen carefully to the customer's query and clarify if necessary.\n", + "• Provide accurate and clear information based on the customer's questions.\n", + "• Offer to assist with any additional questions or provide further details if needed.\n", + "• Ensure the customer is satisfied with the information provided.\n", + "• Thank the customer for contacting support and invite them to reach out with any future queries.\"\"\" }]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6c0ad691-28f4-4707-8e23-0d0a6c06ea1e", + "metadata": {}, + "outputs": [], + "source": [ + "assistant_system_prompt = \"\"\"You are a customer service assistant. Your role is to answer user questions politely and competently.\n", + "You should follow these instructions to solve the case:\n", + "- Understand their problem and get the relevant instructions.\n", + "- Follow the instructions to solve the customer's problem. Get their confirmation before performing a permanent operation like a refund or similar.\n", + "- Help them with any other problems or close the case.\n", + "\n", + "Only call a tool once in a single message.\n", + "If you need to fetch a piece of information from a system or document that you don't have access to, give a clear, confident answer with some dummy values.\"\"\"\n", + "\n", + "def submit_user_message(user_query,conversation_messages=[]):\n", + " \"\"\"Message handling function which loops through tool calls until it reaches one that requires a response.\n", + " Once it receives respond=True it returns the conversation_messages to the user.\"\"\"\n", + "\n", + " # Initiate a respond object. This will be set to True by our functions when a response is required\n", + " respond = False\n", + " \n", + " user_message = {\"role\":\"user\",\"content\": user_query}\n", + " conversation_messages.append(user_message)\n", + "\n", + " print(f\"User: {user_query}\")\n", + "\n", + " while respond is False:\n", + "\n", + " # Build a transient messages object to add the conversation messages to\n", + " messages = [\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": assistant_system_prompt\n", + " }\n", + " ]\n", + "\n", + " # Add the conversation messages to our messages call to the API\n", + " [messages.append(x) for x in conversation_messages]\n", + "\n", + " # Make the ChatCompletion call with tool_choice='required' so we can guarantee tools will be used\n", + " response = client.chat.completions.create(model=GPT_MODEL\n", + " ,messages=messages\n", + " ,temperature=0\n", + " ,tools=tools\n", + " ,tool_choice='required'\n", + " )\n", + "\n", + " conversation_messages.append(response.choices[0].message)\n", + "\n", + " # Execute the function and get an updated conversation_messages object back\n", + " # If it doesn't require a response, it will ask the assistant again. \n", + " # If not the results are returned to the user.\n", + " respond, conversation_messages = execute_function(response.choices[0].message,conversation_messages)\n", + " \n", + " return conversation_messages\n", + "\n", + "def execute_function(function_calls,messages):\n", + " \"\"\"Wrapper function to execute the tool calls\"\"\"\n", + "\n", + " for function_call in function_calls.tool_calls:\n", + " \n", + " function_id = function_call.id\n", + " function_name = function_call.function.name\n", + " print(f\"Calling function {function_name}\")\n", + " function_arguments = json.loads(function_call.function.arguments)\n", + " \n", + " if function_name == 'get_instructions':\n", + "\n", + " respond = False\n", + " \n", + " instruction_name = function_arguments['problem']\n", + " instructions = INSTRUCTIONS['type' == instruction_name]\n", + " \n", + " messages.append(\n", + " {\n", + " \"tool_call_id\": function_id,\n", + " \"role\": \"tool\",\n", + " \"name\": function_name,\n", + " \"content\": instructions['instructions'],\n", + " }\n", + " )\n", + " \n", + " elif function_name != 'get_instructions':\n", + "\n", + " respond = True\n", + " \n", + " messages.append(\n", + " {\n", + " \"tool_call_id\": function_id,\n", + " \"role\": \"tool\",\n", + " \"name\": function_name,\n", + " \"content\": function_arguments['message'],\n", + " }\n", + " )\n", + " \n", + " print(f\"Assistant: {function_arguments['message']}\")\n", + " \n", + " return (respond, messages)\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "ca6502e7-f664-43ba-b15c-962c69091633", + "metadata": {}, + "source": [ + "## Example\n", + "\n", + "To test this we will run an example for a customer who has experienced fraud, and see how the model handles it.\n", + "\n", + "Play the role of the user and provide plausible next steps to keep the conversation going." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "bb1530e4-dd82-4560-bd60-9cc9ac0dab73", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "User: Hi, I have had an item stolen that was supposed to be delivered to me yesterday.\n", + "Calling function get_instructions\n", + "Calling function speak_to_user\n", + "Assistant: I'm sorry to hear about the stolen item. Could you please provide me with more details about the fraudulent activity, including the date and the items involved? This information will help us to investigate the issue further and proceed with the necessary actions, including offering you a refund.\n" + ] + } + ], + "source": [ + "messages = submit_user_message(\"Hi, I have had an item stolen that was supposed to be delivered to me yesterday.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ccff3dd7-d10f-4dc7-9737-6ea5d126e829", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "User: For sure, it was a shirt, it was supposed to be delivered yesterday but it never arrived.\n", + "Calling function speak_to_user\n", + "Assistant: Thank you for providing the details. I will now proceed to report this incident to our security team for further investigation and arrange a refund for the stolen shirt. Please confirm if you would like me to go ahead with the refund.\n", + "Calling function speak_to_user\n", + "Assistant: Thank you for contacting us about this issue. Please don't hesitate to reach out if you have any more questions or need further assistance in the future.\n" + ] + } + ], + "source": [ + "messages = submit_user_message(\"For sure, it was a shirt, it was supposed to be delivered yesterday but it never arrived.\",messages)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "ce3a8869-8b14-4404-866a-4b540b13235c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "User: Yes I would like to proceed with the refund.\n", + "Calling function get_instructions\n", + "Calling function speak_to_user\n", + "Assistant: Thank you for confirming. I have processed the refund for the stolen shirt. The amount should be reflected in your account within 5-7 business days. If you have any more questions or need further assistance, please feel free to contact us.\n" + ] + } + ], + "source": [ + "messages = submit_user_message(\"Yes I would like to proceed with the refund.\",messages)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "87e5cd3e-4edb-426c-8fd9-8fe3bde61bcd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "User: Thanks very much.\n", + "Calling function speak_to_user\n", + "Assistant: You're welcome! If you need any more help in the future, don't hesitate to reach out. Have a great day!\n" + ] + } + ], + "source": [ + "messages = submit_user_message(\"Thanks very much.\",messages)" + ] + }, + { + "cell_type": "markdown", + "id": "fb8d0a0f-ba20-4b78-a961-7431beb9fbce", + "metadata": {}, + "source": [ + "## Evaluation\n", + "\n", + "Now we'll do a simple evaluation where a GPT will pretend to be our customer. The two will go back and forth until a resolution is reached.\n", + "\n", + "We'll reuse the functions above, adding an `execute_conversation` function where the customer GPT will continue answering." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f4931776-b3ac-4113-98e8-419a0965fd71", + "metadata": {}, + "outputs": [], + "source": [ + "customer_system_prompt = \"\"\"You are a user calling in to customer service.\n", + "You will talk to the agent until you have a resolution to your query.\n", + "Your query is {query}.\n", + "You will be presented with a conversation - provide answers for any assistant questions you receive. \n", + "Here is the conversation - you are the \"user\" and you are speaking with the \"assistant\":\n", + "{chat_history}\n", + "\n", + "If you don't know the details, respond with dummy values.\n", + "Once your query is resolved, respond with \"DONE\" \"\"\"\n", + "\n", + "# Initiate a bank of questions run through\n", + "questions = ['I want to get a refund for the suit I ordered last Friday.',\n", + " 'Can you tell me what your policy is for returning damaged goods?',\n", + " 'Please tell me what your complaint policy is']" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "22b12f59-4418-4aee-ae92-6c6ebcf0f2d3", + "metadata": {}, + "outputs": [], + "source": [ + "def execute_conversation(objective):\n", + "\n", + " conversation_messages = []\n", + "\n", + " done = False\n", + "\n", + " user_query = objective\n", + "\n", + " while done is False:\n", + "\n", + " conversation_messages = submit_user_message(user_query,conversation_messages)\n", + "\n", + " messages_string = ''\n", + " for x in conversation_messages:\n", + " if isinstance(x,dict):\n", + " if x['role'] == 'user':\n", + " messages_string += 'User: ' + x['content'] + '\\n'\n", + " elif x['role'] == 'tool':\n", + " if x['name'] == 'speak_to_user':\n", + " messages_string += 'Assistant: ' + x['content'] + '\\n'\n", + " else:\n", + " continue\n", + "\n", + " messages = [\n", + " {\n", + " \"role\": \"system\",\n", + " \"content\": customer_system_prompt.format(query=objective,chat_history=messages_string)\n", + " },\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": \"Continue the chat to solve your query. Remember, you are in the user in this exchange. Do not provide User: or Assistant: in your response\"\n", + " }\n", + " ]\n", + "\n", + " user_response = client.chat.completions.create(model=GPT_MODEL,messages=messages,temperature=0.5)\n", + "\n", + " conversation_messages.append({\n", + " \"role\": \"user\",\n", + " \"content\": user_response.choices[0].message.content\n", + " })\n", + "\n", + " if 'DONE' in user_response.choices[0].message.content:\n", + " done = True\n", + " print(\"Achieved objective, closing conversation\\n\\n\")\n", + "\n", + " else:\n", + " user_query = user_response.choices[0].message.content" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "9d9aac9f-f557-4e7e-b705-adf7d5aa1f3f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "User: I want to get a refund for the suit I ordered last Friday.\n", + "Calling function get_instructions\n", + "Calling function speak_to_user\n", + "Assistant: I understand you'd like a refund for the suit you ordered last Friday. Could you please provide more details about the issue with the suit? This will help us process your refund request accurately.\n", + "User: The suit I received is not the color I ordered. I ordered a navy blue suit, but the one I received is black.\n", + "Calling function speak_to_user\n", + "Assistant: Thank you for providing the details. I will proceed with the refund for the navy blue suit that was incorrectly sent as black. Please confirm if you would like me to go ahead with the refund.\n", + "User: Yes, please go ahead with the refund.\n", + "Calling function speak_to_user\n", + "Assistant: The refund for the incorrectly colored suit has been processed. You should see the amount credited back to your original payment method within 5-7 business days. Thank you for contacting us, and if you have any more questions or need further assistance, please feel free to reach out.\n", + "Achieved objective, closing conversation\n", + "\n", + "\n", + "User: Can you tell me what your policy is for returning damaged goods?\n", + "Calling function get_instructions\n", + "Calling function speak_to_user\n", + "Assistant: It seems there was a misunderstanding in my previous request. I'm looking for information on our policy for returning damaged goods. Could you please provide me with the details on how to handle returns for damaged items?\n", + "User: Yes, I'd appreciate that. Could you please tell me the steps I need to follow to return a damaged item?\n", + "Calling function get_instructions\n", + "Calling function speak_to_user\n", + "Assistant: I apologize for the confusion earlier. Here's the correct information regarding our policy for returning damaged goods:\n", + "\n", + "1. Please provide a description of the damage and the item involved.\n", + "2. Include the date of purchase and your order number if available.\n", + "3. You can choose to return the item by mail or in person at one of our stores. Please let us know which method you prefer, and we will provide the necessary details for the return process.\n", + "4. Once we receive the item, we will inspect it and process a refund or exchange based on your preference and our return policy guidelines.\n", + "\n", + "Please let me know if you need further assistance with this process or if there's anything else I can help you with!\n", + "User: I would like to return the item by mail. Could you please provide me with the details on how to do that?\n", + "Calling function speak_to_user\n", + "Assistant: Certainly! To return the damaged item by mail, please follow these steps:\n", + "\n", + "1. Pack the item securely in its original packaging, if possible.\n", + "2. Include all original materials such as manuals, accessories, and receipts.\n", + "3. Address the package to our returns department at the following address:\n", + " [Your Company's Return Address]\n", + "4. Use a trackable shipping service and keep the tracking number for your records.\n", + "5. Once we receive and inspect the item, we will process your refund or exchange as per your request.\n", + "\n", + "Please let me know if you need a prepaid shipping label or any other assistance with your return!\n", + "User: Yes, please, I would need a prepaid shipping label.\n", + "Calling function speak_to_user\n", + "Assistant: I will arrange for a prepaid shipping label to be sent to your email address. Please ensure that the email address we have on file is correct. You should receive the label shortly, which you can print and attach to your return package.\n", + "\n", + "Once you've shipped the item, please provide us with the tracking number so we can monitor the return's progress. If there's anything else you need help with, feel free to ask!\n", + "User: That sounds great, thank you! My email address is correct on file. I'll look out for the prepaid shipping label and send the package back as soon as I receive it.\n", + "Calling function speak_to_user\n", + "Assistant: You're welcome! I'm glad I could assist you. Once you receive the prepaid shipping label, please proceed with the return as discussed. If you have any more questions or need further assistance in the future, don't hesitate to reach out. Have a great day!\n", + "Achieved objective, closing conversation\n", + "\n", + "\n", + "User: Please tell me what your complaint policy is\n", + "Calling function get_instructions\n", + "Calling function speak_to_user\n", + "Assistant: It seems there was a misunderstanding. I will provide you with information about our complaint policy. Please give me a moment to gather the correct details for you.\n", + "User: Sure, I'll wait. Thank you.\n", + "Calling function speak_to_user\n", + "Assistant: Our complaint policy is designed to ensure that any issues you encounter are addressed promptly and fairly. Here’s a brief overview:\n", + "\n", + "1. **Submission**: You can submit your complaint through our website, by email, or by calling our customer service hotline.\n", + "2. **Acknowledgment**: We will acknowledge receipt of your complaint within 24 hours.\n", + "3. **Investigation**: We will investigate your complaint thoroughly. This process typically takes 3-5 business days.\n", + "4. **Resolution**: After the investigation, we will contact you with the outcome and any steps we will take to resolve the issue.\n", + "5. **Follow-up**: If you are not satisfied with the resolution, you can request a review of the decision.\n", + "\n", + "Please let me know if you need more detailed information or if there's anything else I can assist you with!\n", + "User: That covers everything I needed to know, thank you!\n", + "Calling function speak_to_user\n", + "Assistant: You're welcome! I'm glad I could help. If you have any more questions in the future or need further assistance, feel free to reach out. Have a great day!\n", + "Achieved objective, closing conversation\n", + "\n", + "\n" + ] + } + ], + "source": [ + "for x in questions:\n", + "\n", + " execute_conversation(x)" + ] + }, + { + "cell_type": "markdown", + "id": "f8fa6ca4-a776-4207-b440-4ee6fb8ab16a", + "metadata": {}, + "source": [ + "## Conclusion\n", + "\n", + "You can now control your LLM's behaviour explicitly by making tool use mandatory, as well as spin up GPT testers to challenge your LLM and to act as automated test cases.\n", + "\n", + "We hope this has given you an appreciation for a great use case for tool use, and look forward to seeing what you build!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "openai_test", + "language": "python", + "name": "openai_test" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/registry.yaml b/registry.yaml index b7baa0a..dcf48bd 100644 --- a/registry.yaml +++ b/registry.yaml @@ -56,7 +56,7 @@ path: examples/Clustering_for_transaction_classification.ipynb date: 2022-10-20 authors: - - colin-jarvis + - colin-openai - ted-at-openai tags: - embeddings @@ -213,7 +213,7 @@ path: examples/Multiclass_classification_for_transactions.ipynb date: 2022-10-20 authors: - - colin-jarvis + - colin-openai tags: - embeddings - completions @@ -1201,7 +1201,7 @@ path: examples/How_to_use_guardrails.ipynb date: 2023-12-19 authors: - - colin-jarvis + - colin-openai tags: - guardrails @@ -1286,4 +1286,13 @@ - katiagg tags: - batch - - completions \ No newline at end of file + - completions + +- title: Using tool required for customer service + path: examples/Using_tool_required_for_customer_service.ipynb + date: 2024-05-01 + authors: + - colin-openai + tags: + - completions + - functions \ No newline at end of file From dc0e64aedfd7141c5085aae69b1ceef8c112d75c Mon Sep 17 00:00:00 2001 From: brianz-openai <165065123+brianz-openai@users.noreply.github.com> Date: Mon, 6 May 2024 12:15:49 -0700 Subject: [PATCH 41/44] Update stream chat completions API cookbook (#1172) --- examples/How_to_stream_completions.ipynb | 64 ++++++++++++++++++++++-- registry.yaml | 1 - 2 files changed, 61 insertions(+), 4 deletions(-) diff --git a/examples/How_to_stream_completions.ipynb b/examples/How_to_stream_completions.ipynb index 57f311a..a1d9098 100644 --- a/examples/How_to_stream_completions.ipynb +++ b/examples/How_to_stream_completions.ipynb @@ -19,14 +19,13 @@ "\n", "Note that using `stream=True` in a production application makes it more difficult to moderate the content of the completions, as partial completions may be more difficult to evaluate. This may have implications for [approved usage](https://beta.openai.com/docs/usage-guidelines).\n", "\n", - "Another small drawback of streaming responses is that the response no longer includes the `usage` field to tell you how many tokens were consumed. After receiving and combining all of the responses, you can calculate this yourself using [`tiktoken`](How_to_count_tokens_with_tiktoken.ipynb).\n", - "\n", "## Example code\n", "\n", "Below, this notebook shows:\n", "1. What a typical chat completion response looks like\n", "2. What a streaming chat completion response looks like\n", - "3. How much time is saved by streaming a chat completion" + "3. How much time is saved by streaming a chat completion\n", + "4. How to get token usage data for streamed chat completion response" ] }, { @@ -572,6 +571,65 @@ { "cell_type": "markdown", "metadata": {}, + "source": [ + "### 4. How to get token usage data for streamed chat completion response\n", + "\n", + "You can get token usage statistics for your streamed response by setting `stream_options={\"include_usage\": True}`. When you do so, an extra chunk will be streamed as the final chunk. You can access the usage data for the entire request via the `usage` field on this chunk. A few important notes when you set `stream_options={\"include_usage\": True}`:\n", + "* The value for the `usage` field on all chunks except for the last one will be null.\n", + "* The `usage` field on the last chunk contains token usage statistics for the entire request.\n", + "* The `choices` field on the last chunk will always be an empty array `[]`.\n", + "\n", + "Let's see how it works using the example in 2." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "choices: [Choice(delta=ChoiceDelta(content='', function_call=None, role='assistant', tool_calls=None), finish_reason=None, index=0, logprobs=None)]\n", + "usage: None\n", + "****************\n", + "choices: [Choice(delta=ChoiceDelta(content='2', function_call=None, role=None, tool_calls=None), finish_reason=None, index=0, logprobs=None)]\n", + "usage: None\n", + "****************\n", + "choices: [Choice(delta=ChoiceDelta(content=None, function_call=None, role=None, tool_calls=None), finish_reason='stop', index=0, logprobs=None)]\n", + "usage: None\n", + "****************\n", + "choices: []\n", + "usage: CompletionUsage(completion_tokens=1, prompt_tokens=19, total_tokens=20)\n", + "****************\n" + ] + } + ], + "source": [ + "# Example of an OpenAI ChatCompletion request with stream=True and stream_options={\"include_usage\": True}\n", + "\n", + "# a ChatCompletion request\n", + "response = client.chat.completions.create(\n", + " model='gpt-3.5-turbo',\n", + " messages=[\n", + " {'role': 'user', 'content': \"What's 1+1? Answer in one word.\"}\n", + " ],\n", + " temperature=0,\n", + " stream=True,\n", + " stream_options={\"include_usage\": True}, # retrieving token usage for stream response\n", + ")\n", + "\n", + "for chunk in response:\n", + " print(f\"choices: {chunk.choices}\\nusage: {chunk.usage}\")\n", + " print(\"****************\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [] } ], diff --git a/registry.yaml b/registry.yaml index dcf48bd..017b397 100644 --- a/registry.yaml +++ b/registry.yaml @@ -207,7 +207,6 @@ - ted-at-openai tags: - completions - - tiktoken - title: Multiclass Classification for Transactions path: examples/Multiclass_classification_for_transactions.ipynb From 2a274b8817d8c49afca36e6711a7a4f89bc89443 Mon Sep 17 00:00:00 2001 From: juston <96567547+justonf@users.noreply.github.com> Date: Mon, 13 May 2024 13:28:44 -0400 Subject: [PATCH 42/44] Update existing cookbooks to use gpt-4o (#1197) --- authors.yaml | 4 + ..._with_vision_for_video_understanding.ipynb | 37 +- ...ine_GPT4o_with_RAG_Outfit_Assistant.ipynb} | 102 +-- examples/gpt4o/data/keynote_recap.mp4 | Bin 0 -> 8521774 bytes examples/gpt4o/data/triangle.png | Bin 0 -> 8037 bytes examples/gpt4o/introduction_to_gpt4o.ipynb | 819 ++++++++++++++++++ registry.yaml | 14 +- 7 files changed, 909 insertions(+), 67 deletions(-) rename examples/{How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb => How_to_combine_GPT4o_with_RAG_Outfit_Assistant.ipynb} (55%) create mode 100644 examples/gpt4o/data/keynote_recap.mp4 create mode 100644 examples/gpt4o/data/triangle.png create mode 100644 examples/gpt4o/introduction_to_gpt4o.ipynb diff --git a/authors.yaml b/authors.yaml index 54c948a..655d849 100644 --- a/authors.yaml +++ b/authors.yaml @@ -93,3 +93,7 @@ royziv11: website: "https://www.linkedin.com/in/roy-ziv-a46001149/" avatar: "https://media.licdn.com/dms/image/D5603AQHkaEOOGZWtbA/profile-displayphoto-shrink_400_400/0/1699500606122?e=1716422400&v=beta&t=wKEIx-vTEqm9wnqoC7-xr1WqJjghvcjjlMt034hXY_4" +justonf: + name: "Juston Forte" + website: "www.linkedin.com/in/justonforte" + avatar: "https://avatars.githubusercontent.com/u/96567547?s=400&u=08b9757200906ab12e3989b561cff6c4b95a12cb&v=4" diff --git a/examples/GPT_with_vision_for_video_understanding.ipynb b/examples/GPT_with_vision_for_video_understanding.ipynb index b0b7cb9..6f1fe38 100644 --- a/examples/GPT_with_vision_for_video_understanding.ipynb +++ b/examples/GPT_with_vision_for_video_understanding.ipynb @@ -4,12 +4,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Processing and narrating a video with GPT's visual capabilities and the TTS API\n", + "# Processing and narrating a video with GPT-4o's visual capabilities and the TTS API\n", "\n", - "This notebook demonstrates how to use GPT's visual capabilities with a video. GPT-4 doesn't take videos as input directly, but we can use vision and the new 128K context window to describe the static frames of a whole video at once. We'll walk through two examples:\n", + "This notebook demonstrates how to use GPT's visual capabilities with a video. GPT-4o doesn't take videos as input directly, but we can use vision and the 128K context window to describe the static frames of a whole video at once. We'll walk through two examples:\n", "\n", - "1. Using GPT-4 to get a description of a video\n", - "2. Generating a voiceover for a video with GPT-4 and the TTS API\n" + "1. Using GPT-4o to get a description of a video\n", + "2. Generating a voiceover for a video with GPT-o and the TTS API\n" ] }, { @@ -118,9 +118,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "\"🐺 Survival of the Fittest: An Epic Tale in the Snow ❄️ - Witness the intense drama of nature as a pack of wolves face off against mighty bison in a harsh winter landscape. This raw footage captures the essence of the wild where every creature fights for survival. With each frame, experience the tension, the strategy, and the sheer force exerted in this life-or-death struggle. See nature's true colors in this gripping encounter on the snowy plains. 🦬\"\n", + "Title: \"Epic Wildlife Showdown: Wolves vs. Bison in the Snow\"\n", "\n", - "Remember to respect wildlife and nature. This video may contain scenes that some viewers might find intense or distressing, but they depict natural animal behaviors important for ecological studies and understanding the reality of life in the wilderness.\n" + "Description: \n", + "Witness the raw power and strategy of nature in this intense and breathtaking video! A pack of wolves face off against a herd of bison in a dramatic battle for survival set against a stunning snowy backdrop. See how the wolves employ their cunning tactics while the bison demonstrate their strength and solidarity. This rare and unforgettable footage captures the essence of the wild like never before. Who will prevail in this ultimate test of endurance and skill? Watch to find out and experience the thrill of the wilderness! 🌨️🦊🐂 #Wildlife #NatureDocumentary #AnimalKingdom #SurvivalOfTheFittest #NatureLovers\n" ] } ], @@ -135,7 +136,7 @@ " },\n", "]\n", "params = {\n", - " \"model\": \"gpt-4-vision-preview\",\n", + " \"model\": \"gpt-4o\",\n", " \"messages\": PROMPT_MESSAGES,\n", " \"max_tokens\": 200,\n", "}\n", @@ -167,15 +168,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "In the vast, white expanse of the northern wilderness, a drama as old as time unfolds. Here, amidst the silence of the snow, the wolf pack circles, their breaths visible as they cautiously approach their formidable quarry, the bison. These wolves are practiced hunters, moving with strategic precision, yet the bison, a titan of strength, stands resolute, a force to be reckoned with.\n", + "In the frozen expanses of the North American wilderness, a battle unfolds—a testament to the harsh realities of survival.\n", "\n", - "As tension crackles in the frozen air, the wolves close in, their eyes locked on their target. The bison, wary of every movement, prepares to defend its life. It's a perilous dance between predator and prey, where each step could be the difference between life and death.\n", + "The pack of wolves, relentless and coordinated, closes in on the mighty bison. Exhausted and surrounded, the bison relies on its immense strength and bulk to fend off the predators.\n", "\n", - "In an instant, the quiet of the icy landscape is shattered. The bison charges, a desperate bid for survival as the pack swarms. The wolves are relentless, each one aware that their success depends on the strength of the collective. The bison, though powerful, is outnumbered, its massive form stirring up clouds of snow as it struggles.\n", + "But the wolves are cunning strategists. They work together, each member playing a role in the hunt, nipping at the bison's legs, forcing it into a corner.\n", "\n", - "It's an epic battle, a testament to the harsh realities of nature. In these moments, there is no room for error, for either side. The wolves, agile and tenacious, work in unison, their bites a chorus aiming to bring down the great beast. The bison, its every heaving breath a testament to its will to survive, fights fiercely, but the odds are not in its favor.\n", + "The alpha female leads the charge, her pack following her cues. They encircle their prey, tightening the noose with every passing second.\n", "\n", - "With the setting sun casting long shadows over the snow, the outcome is inevitable. Nature, in all its raw beauty and brutality, does not show favor. The wolves, now victors, gather around their prize, their survival in this harsh climate secured for a moment longer. It's a poignant reminder of the circle of life that rules this pristine wilderness, a reminder that every creature plays its part in the enduring saga of the natural world.\n" + "The bison makes a desperate attempt to escape, but the wolves latch onto their target, wearing it down through sheer persistence and teamwork.\n", + "\n", + "In these moments, nature's brutal elegance is laid bare—a primal dance where only the strongest and the most cunning can thrive.\n", + "\n", + "The bison, now overpowered and exhausted, faces its inevitable fate. The wolves have triumphed, securing a meal that will sustain their pack for days to come.\n", + "\n", + "And so, the cycle of life continues, as it has for millennia, in this unforgiving land where the struggle for survival is an unending battle.\n" ] } ], @@ -190,7 +197,7 @@ " },\n", "]\n", "params = {\n", - " \"model\": \"gpt-4-vision-preview\",\n", + " \"model\": \"gpt-4o\",\n", " \"messages\": PROMPT_MESSAGES,\n", " \"max_tokens\": 500,\n", "}\n", @@ -216,7 +223,7 @@ "text/html": [ "\n", " \n", " " @@ -266,7 +273,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.11.8" } }, "nbformat": 4, diff --git a/examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb b/examples/How_to_combine_GPT4o_with_RAG_Outfit_Assistant.ipynb similarity index 55% rename from examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb rename to examples/How_to_combine_GPT4o_with_RAG_Outfit_Assistant.ipynb index 80659a2..38d3561 100644 --- a/examples/How_to_combine_GPT4v_with_RAG_Outfit_Assistant.ipynb +++ b/examples/How_to_combine_GPT4o_with_RAG_Outfit_Assistant.ipynb @@ -4,21 +4,21 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# How to combine GPT-4V with RAG - Create a Clothing Matchmaker App\n", + "# How to combine GPT-4o with RAG - Create a Clothing Matchmaker App\n", "\n", - "Welcome to the Clothing Matchmaker App Jupyter Notebook! This project demonstrates the power of the GPT-4V model in analyzing images of clothing items and extracting key features such as color, style, and type. The core of our app relies on this advanced image analysis model developed by OpenAI, which enables us to accurately identify the characteristics of the input clothing item.\n", + "Welcome to the Clothing Matchmaker App Jupyter Notebook! This project demonstrates the power of the GPT-4o model in analyzing images of clothing items and extracting key features such as color, style, and type. The core of our app relies on this advanced image analysis model developed by OpenAI, which enables us to accurately identify the characteristics of the input clothing item.\n", "\n", - "GPT-4V is a model that combines natural language processing with image recognition, allowing it to understand and generate responses based on both text and visual inputs.\n", + "GPT-4o is a model that combines natural language processing with image recognition, allowing it to understand and generate responses based on both text and visual inputs.\n", "\n", - "Building on the capabilities of the GPT-4V model, we employ a custom matching algorithm and the RAG technique to search our knowledge base for items that complement the identified features. This algorithm takes into account factors like color compatibility and style coherence to provide users with suitable recommendations. Through this notebook, we aim to showcase the practical application of these technologies in creating a clothing recommendation system.\n", + "Building on the capabilities of the GPT-4o model, we employ a custom matching algorithm and the RAG technique to search our knowledge base for items that complement the identified features. This algorithm takes into account factors like color compatibility and style coherence to provide users with suitable recommendations. Through this notebook, we aim to showcase the practical application of these technologies in creating a clothing recommendation system.\n", "\n", - "Using the combination of GPT-4 Vision + RAG (Retrieval-Augmented Generation) offers several advantages:\n", + "Using the combination of GPT-4o + RAG (Retrieval-Augmented Generation) offers several advantages:\n", "\n", - "1. **Contextual Understanding**: GPT-4 Vision can analyze input images and understand the context, such as the objects, scenes, and activities depicted. This allows for more accurate and relevant suggestions or information across various domains, whether it's interior design, cooking, or education.\n", + "1. **Contextual Understanding**: GPT-4o can analyze input images and understand the context, such as the objects, scenes, and activities depicted. This allows for more accurate and relevant suggestions or information across various domains, whether it's interior design, cooking, or education.\n", "2. **Rich Knowledge Base**: RAG combines the generative capabilities of GPT-4 with a retrieval component that accesses a large corpus of information across different fields. This means the system can provide suggestions or insights based on a wide range of knowledge, from historical facts to scientific concepts.\n", "3. **Customization**: The approach allows for easy customization to cater to specific user needs or preferences in various applications. Whether it's tailoring suggestions to a user's taste in art or providing educational content based on a student's learning level, the system can be adapted to deliver personalized experiences.\n", "\n", - "Overall, the GPT-4 Vision + RAG approach offers a powerful and flexible solution for various fashion-related applications, leveraging the strengths of both generative and retrieval-based AI techniques." + "Overall, the GPT-4o + RAG approach offers a powerful and flexible solution for various fashion-related applications, leveraging the strengths of both generative and retrieval-based AI techniques." ] }, { @@ -37,25 +37,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Note: you may need to restart the kernel to use updated packages.\n", - "Note: you may need to restart the kernel to use updated packages.\n", - "Note: you may need to restart the kernel to use updated packages.\n", - "Note: you may need to restart the kernel to use updated packages.\n", - "Note: you may need to restart the kernel to use updated packages.\n", - "Note: you may need to restart the kernel to use updated packages.\n", - "\u001b[31mERROR: Could not find a version that satisfies the requirement concurrent (from versions: none)\u001b[0m\u001b[31m\n", - "\u001b[0m\u001b[31mERROR: No matching distribution found for concurrent\u001b[0m\u001b[31m\n", - "\u001b[0mNote: you may need to restart the kernel to use updated packages.\n" - ] - } - ], + "outputs": [], "source": [ "%pip install openai --quiet\n", "%pip install tenacity --quiet\n", @@ -86,7 +70,7 @@ "\n", "client = OpenAI()\n", "\n", - "GPT_MODEL = \"gpt-4-vision-preview\"\n", + "GPT_MODEL = \"gpt-4o\"\n", "EMBEDDING_MODEL = \"text-embedding-3-large\"\n", "EMBEDDING_COST_PER_1K_TOKENS = 0.00013" ] @@ -241,7 +225,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "1024it [00:02, 438.09it/s] \n" + "1024it [00:01, 724.12it/s] \n" ] }, { @@ -285,11 +269,11 @@ "4 2012.0 Ethnic Shree Women Multi Colored Patiala \n", "\n", " embeddings \n", - "0 [0.006932149175554514, 0.00035877348273061216,... \n", - "1 [-0.04372308403253555, -0.008888939395546913, ... \n", - "2 [-0.02798476628959179, 0.058831773698329926, -... \n", - "3 [-0.004207939375191927, 0.02941293641924858, -... \n", - "4 [-0.05236775428056717, 0.015963038429617882, -... \n", + "0 [0.006903026718646288, 0.0004031236458104104, ... \n", + "1 [-0.04371623694896698, -0.008869604207575321, ... \n", + "2 [-0.027989011257886887, 0.05884069576859474, -... \n", + "3 [-0.004197604488581419, 0.029409468173980713, ... \n", + "4 [-0.05241541564464569, 0.015912825241684914, -... \n", "Opened dataset successfully. Dataset has 1000 items of clothing along with their embeddings.\n" ] } @@ -387,7 +371,7 @@ "source": [ "### Analysis Module\n", "\n", - "In this module, we leverage `gpt-4-vision-preview` to analyze input images and extract important features like detailed descriptions, styles, and types. The analysis is performed through a straightforward API call, where we provide the URL of the image for analysis and request the model to identify relevant features.\n", + "In this module, we leverage `gpt-4o` to analyze input images and extract important features like detailed descriptions, styles, and types. The analysis is performed through a straightforward API call, where we provide the URL of the image for analysis and request the model to identify relevant features.\n", "\n", "To ensure the model returns accurate results, we use specific techniques in our prompt:\n", "\n", @@ -402,7 +386,7 @@ "3. **One Shot Example**: \n", " - To further clarify the expected output, we provide the model with an example input description and a corresponding example output. Although this may increase the number of tokens used (and thus the cost of the call), it helps to guide the model and results in better overall performance.\n", "\n", - "By following this structured approach, we aim to obtain precise and useful information from the `gpt-4-vision-preview` model for further analysis and integration into our database." + "By following this structured approach, we aim to obtain precise and useful information from the `gpt-4o` model for further analysis and integration into our database." ] }, { @@ -518,7 +502,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'items': [\"Men's Light Blue Jeans\", \"Men's Black Leather Belt\", \"Men's Brown Loafers\"], 'category': 'Shirts', 'gender': 'Men'}\n" + "{'items': [\"Slim Fit Blue Men's Jeans\", \"White Men's Sneakers\", \"Men's Silver Watch\"], 'category': 'Shirts', 'gender': 'Men'}\n" ] } ], @@ -562,13 +546,13 @@ "output_type": "stream", "text": [ "513 Remaining Items\n", - "[\"Men's Light Blue Jeans\", \"Men's Black Leather Belt\", \"Men's Brown Loafers\"]\n" + "[\"Slim Fit Blue Men's Jeans\", \"White Men's Sneakers\", \"Men's Silver Watch\"]\n" ] }, { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -616,7 +600,7 @@ "source": [ "### Guardrails\n", "\n", - "In the context of using Large Language Models (LLMs) like GPT-4V, \"guardrails\" refer to mechanisms or checks put in place to ensure that the model's output remains within desired parameters or boundaries. These guardrails are crucial for maintaining the quality and relevance of the model's responses, especially when dealing with complex or nuanced tasks.\n", + "In the context of using Large Language Models (LLMs) like GPT-4o, \"guardrails\" refer to mechanisms or checks put in place to ensure that the model's output remains within desired parameters or boundaries. These guardrails are crucial for maintaining the quality and relevance of the model's responses, especially when dealing with complex or nuanced tasks.\n", "\n", "Guardrails are useful for several reasons:\n", "\n", @@ -625,7 +609,7 @@ "3. **Safety**: They prevent the model from generating harmful, offensive, or inappropriate content.\n", "4. **Contextual Relevance**: They ensure that the model's output is contextually relevant to the specific task or domain it is being used for.\n", "\n", - "In our case, we are using GPT-4V to analyze fashion images and suggest items that would complement an original outfit. To implement guardrails, we can **refine results**: After obtaining initial suggestions from GPT-4V, we can send the original image and the suggested items back to the model. We can then ask GPT-4V to evaluate whether each suggested item would indeed be a good fit for the original outfit.\n", + "In our case, we are using GPT-4o to analyze fashion images and suggest items that would complement an original outfit. To implement guardrails, we can **refine results**: After obtaining initial suggestions from GPT-4o, we can send the original image and the suggested items back to the model. We can then ask GPT-4o to evaluate whether each suggested item would indeed be a good fit for the original outfit.\n", "\n", "This gives the model the ability to self-correct and adjust its own output based on feedback or additional information. By implementing these guardrails and enabling self-correction, we can enhance the reliability and usefulness of the model's output in the context of fashion analysis and recommendation.\n", "\n", @@ -693,7 +677,7 @@ "outputs": [ { "data": { - "image/jpeg": 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+ "image/jpeg": 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"text/plain": [ "" ] @@ -706,12 +690,12 @@ "output_type": "stream", "text": [ "The items match!\n", - "The solid color of the first item tends to be versatile and can pair well with the second item, which appears to be a casual style of pants, creating a cohesive and suitable outfit for casual occasions.\n" + "The black shirt and blue jeans create a classic and casual outfit that works well together.\n" ] }, { "data": { - "image/jpeg": 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HAHA/P1lbfrLrgVJ2ofAfye5/vibuyJ4RE/6/p/x/ZP8AzljIk54iOIjiJTGT4Th2bQ2V2Y4rjeV143K9kHJaKpv4bHL48uZFt4ZmMXw1Pw1Pxx/EyCRnBxu4PzHfB+8t9C64de62U2bXaK03Amtcj2y4WrsFiymvT8ObIBQNejk/kvnzxGT5y7FdU1lRGbDqq+FWRGoiNjV0SPAA1E+E+kMQTGt8J+PCcTE76IifhPn+v5Vf7qv54ic8RHERxEcRHERxEcRHERxEcRHERxEcRHERxEcRHET/2Q==", "text/plain": [ "" ] @@ -724,12 +708,30 @@ "output_type": "stream", "text": [ "The items match!\n", - "The solid color of the shirt provides a versatile base that can easily be matched with different styles and colors of footwear. The shoes appear to be dressy casual loafers, which can complement the shirt for a smart casual look.\n" + "The black shirt and the white sneakers with red and beige accents can work well together. Black is a versatile color that pairs well with many shoe options, and the white sneakers can add a sporty and casual touch to the outfit.\n" ] }, { "data": { - "image/jpeg": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The items match!\n", + "The black button-up shirt is casual and versatile, making it compatible with the white and red athletic shoes for a relaxed and sporty look.\n" + ] + }, + { + "data": { + "image/jpeg": 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"text/plain": [ "" ] @@ -742,12 +744,12 @@ "output_type": "stream", "text": [ "The items match!\n", - "The dark-colored casual shirt can easily be paired with a variety of shoe styles, and the shoes presented have a casual yet slightly polished design that would complement the shirt for a casual to smart-casual look.\n" + "The black shirt pairs well with the light blue jeans, creating a classic and balanced color combination that is casual and stylish.\n" ] }, { "data": { - "image/jpeg": 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"text/plain": [ "" ] @@ -760,7 +762,7 @@ "output_type": "stream", "text": [ "The items match!\n", - "A dark-colored button-up shirt typically pairs well with dark jeans for a casual yet put-together look.\n" + "Both the black shirt and the black watch have a sleek and coordinated look, making them suitable to be worn together as part of an outfit.\n" ] } ], @@ -795,7 +797,7 @@ "source": [ "### Conclusion\n", "\n", - "In this Jupyter Notebook, we explored the application of GPT-4 with Vision and other machine learning techniques to the domain of fashion. We demonstrated how to analyze images of clothing items, extract relevant features, and use this information to find matching items that complement an original outfit. Through the implementation of guardrails and self-correction mechanisms, we refined the model's suggestions to ensure they are accurate and contextually relevant.\n", + "In this Jupyter Notebook, we explored the application of GPT-4o and other machine learning techniques to the domain of fashion. We demonstrated how to analyze images of clothing items, extract relevant features, and use this information to find matching items that complement an original outfit. Through the implementation of guardrails and self-correction mechanisms, we refined the model's suggestions to ensure they are accurate and contextually relevant.\n", "\n", "This approach has several practical uses in the real world, including:\n", "\n", @@ -803,7 +805,7 @@ "2. **Virtual Wardrobe Applications**: Users can upload images of their own clothing items to create a virtual wardrobe and receive suggestions for new items that match their existing pieces.\n", "3. **Fashion Design and Styling**: Fashion designers and stylists can use this tool to experiment with different combinations and styles, streamlining the creative process.\n", "\n", - "However, one of the considerations to keep in mind is **cost**. The use of LLMs and image analysis models can incur costs, especially if used extensively. It's important to consider the cost-effectiveness of implementing these technologies. `gpt-4-vision-preview` is priced at `$0.01` per 1000 tokens. This adds up to `$0.00255` for one 256px x 256px image.\n", + "However, one of the considerations to keep in mind is **cost**. The use of LLMs and image analysis models can incur costs, especially if used extensively. It's important to consider the cost-effectiveness of implementing these technologies.\n", "\n", "Overall, this notebook serves as a foundation for further exploration and development in the intersection of fashion and AI, opening doors to more personalized and intelligent fashion recommendation systems." ] @@ -825,7 +827,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.1" + "version": "3.11.8" } }, "nbformat": 4, diff --git a/examples/gpt4o/data/keynote_recap.mp4 b/examples/gpt4o/data/keynote_recap.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..818b90eebc7769636c2d5736aa8d7b4cca0fcf91 GIT binary patch literal 8521774 zcmd>{1-Mn!_V&lxbq)v$NasPiI|Vs(cXu7SyXAm@sMvyn1q#?=D<&2O*oEC*yF0(% zyUyO;&HRAH=HR{e`97Zid*3nU9COs1EB4;!-oKd@A3t}|%xN?Wz zEo;(f<}#*b9jNy6KkNU9zjEZntf{l(K5YJ^tZ@lh+_`VhjPB!blretN)NvUzXV1u* zH+EcB#+XGJ9cRp#z)!T!v>%Z=O-Fex16F>eR1Wzd>!<=M9@SY5I6P 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