mirror of
https://github.com/hwchase17/langchain
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f027696b5f
**Please tag this issue with `nvidia_genai`**
- **Description:** Added new Runnables for integration NVIDIA Riva into
LCEL chains for Automatic Speech Recognition (ASR) and Text To Speech
(TTS).
- **Issue:** N/A
- **Dependencies:** To use these runnables, the NVIDIA Riva client
libraries are required. It they are not installed, an error will be
raised instructing how to install them. The Runnables can be safely
imported without the riva client libraries.
- **Twitter handle:** N/A
All of the Riva Runnables are inside a single folder in the Utilities
module. In this folder are four files:
- common.py - Contains all code that is common to both TTS and ASR
- stream.py - Contains a class representing an audio stream that allows
the end user to put data into the stream like a queue.
- asr.py - Contains the RivaASR runnable
- tts.py - Contains the RivaTTS runnable
The following Python function is an example of creating a chain that
makes use of both of these Runnables:
```python
def create(
config: Configuration,
audio_encoding: RivaAudioEncoding,
sample_rate: int,
audio_channels: int = 1,
) -> Runnable[ASRInputType, TTSOutputType]:
"""Create a new instance of the chain."""
_LOGGER.info("Instantiating the chain.")
# create the riva asr client
riva_asr = RivaASR(
url=str(config.riva_asr.service.url),
ssl_cert=config.riva_asr.service.ssl_cert,
encoding=audio_encoding,
audio_channel_count=audio_channels,
sample_rate_hertz=sample_rate,
profanity_filter=config.riva_asr.profanity_filter,
enable_automatic_punctuation=config.riva_asr.enable_automatic_punctuation,
language_code=config.riva_asr.language_code,
)
# create the prompt template
prompt = PromptTemplate.from_template("{user_input}")
# model = ChatOpenAI()
model = ChatNVIDIA(model="mixtral_8x7b") # type: ignore
# create the riva tts client
riva_tts = RivaTTS(
url=str(config.riva_asr.service.url),
ssl_cert=config.riva_asr.service.ssl_cert,
output_directory=config.riva_tts.output_directory,
language_code=config.riva_tts.language_code,
voice_name=config.riva_tts.voice_name,
)
# construct and return the chain
return {"user_input": riva_asr} | prompt | model | riva_tts # type: ignore
```
The following code is an example of creating a new audio stream for
Riva:
```python
input_stream = AudioStream(maxsize=1000)
# Send bytes into the stream
for chunk in audio_chunks:
await input_stream.aput(chunk)
input_stream.close()
```
The following code is an example of how to execute the chain with
RivaASR and RivaTTS
```python
output_stream = asyncio.Queue()
while not input_stream.complete:
async for chunk in chain.astream(input_stream):
output_stream.put(chunk)
```
Everything should be async safe and thread safe. Audio data can be put
into the input stream while the chain is running without interruptions.
---------
Co-authored-by: Hayden Wolff <hwolff@nvidia.com>
Co-authored-by: Hayden Wolff <hwolff@Haydens-Laptop.local>
Co-authored-by: Hayden Wolff <haydenwolff99@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
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description = "python client to interact with Aleph Alpha api endpoints"
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requests = ">=2.28"
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name = "backports-zoneinfo"
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|
version = "0.2.1"
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|
description = "Backport of the standard library zoneinfo module"
|
|
optional = true
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|
python-versions = ">=3.6"
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|
files = [
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]
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[package.extras]
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tzdata = ["tzdata"]
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[[package]]
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|
name = "beautifulsoup4"
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|
version = "4.12.3"
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|
description = "Screen-scraping library"
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|
optional = false
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|
python-versions = ">=3.6.0"
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files = [
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[package.dependencies]
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soupsieve = ">1.2"
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[package.extras]
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|
cchardet = ["cchardet"]
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|
chardet = ["chardet"]
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|
charset-normalizer = ["charset-normalizer"]
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|
html5lib = ["html5lib"]
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|
lxml = ["lxml"]
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|
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[[package]]
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|
name = "bibtexparser"
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|
version = "1.4.1"
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|
description = "Bibtex parser for python 3"
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|
optional = true
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|
python-versions = "*"
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|
files = [
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[package.dependencies]
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pyparsing = ">=2.0.3"
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[[package]]
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|
name = "bleach"
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|
version = "6.1.0"
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description = "An easy safelist-based HTML-sanitizing tool."
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|
optional = false
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|
python-versions = ">=3.8"
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files = [
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[package.dependencies]
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six = ">=1.9.0"
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webencodings = "*"
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[package.extras]
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css = ["tinycss2 (>=1.1.0,<1.3)"]
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[[package]]
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|
name = "blinker"
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|
version = "1.7.0"
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|
description = "Fast, simple object-to-object and broadcast signaling"
|
|
optional = true
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|
python-versions = ">=3.8"
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|
files = [
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[[package]]
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|
name = "boto3"
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|
version = "1.34.35"
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|
description = "The AWS SDK for Python"
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|
optional = false
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|
python-versions = ">= 3.8"
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|
files = [
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[package.dependencies]
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|
botocore = ">=1.34.35,<1.35.0"
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|
jmespath = ">=0.7.1,<2.0.0"
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|
s3transfer = ">=0.10.0,<0.11.0"
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|
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|
[package.extras]
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|
crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
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|
|
|
[[package]]
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|
name = "botocore"
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|
version = "1.34.35"
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|
description = "Low-level, data-driven core of boto 3."
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|
optional = false
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|
python-versions = ">= 3.8"
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|
files = [
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|
[package.dependencies]
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|
jmespath = ">=0.7.1,<2.0.0"
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|
python-dateutil = ">=2.1,<3.0.0"
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|
urllib3 = [
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|
{version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
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|
{version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""},
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|
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|
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|
[package.extras]
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|
crt = ["awscrt (==0.19.19)"]
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|
|
|
[[package]]
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|
name = "cachetools"
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|
version = "5.3.2"
|
|
description = "Extensible memoizing collections and decorators"
|
|
optional = false
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|
python-versions = ">=3.7"
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|
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|
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|
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|
[[package]]
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|
name = "cassandra-driver"
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|
version = "3.29.0"
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|
description = "DataStax Driver for Apache Cassandra"
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|
optional = false
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|
python-versions = "*"
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|
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|
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|
[package.dependencies]
|
|
geomet = ">=0.1,<0.3"
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|
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|
[package.extras]
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|
cle = ["cryptography (>=35.0)"]
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|
graph = ["gremlinpython (==3.4.6)"]
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|
|
|
[[package]]
|
|
name = "cassio"
|
|
version = "0.1.4"
|
|
description = "A framework-agnostic Python library to seamlessly integrate Apache Cassandra(R) with ML/LLM/genAI workloads."
|
|
optional = false
|
|
python-versions = ">=3.8"
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|
files = [
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|
|
|
[package.dependencies]
|
|
cassandra-driver = ">=3.28.0"
|
|
numpy = ">=1.0"
|
|
requests = ">=2"
|
|
|
|
[[package]]
|
|
name = "cerberus"
|
|
version = "1.3.5"
|
|
description = "Lightweight, extensible schema and data validation tool for Pythondictionaries."
|
|
optional = true
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|
python-versions = "*"
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|
files = [
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|
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[[package]]
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|
name = "certifi"
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|
version = "2024.2.2"
|
|
description = "Python package for providing Mozilla's CA Bundle."
|
|
optional = false
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|
python-versions = ">=3.6"
|
|
files = [
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description = "Foreign Function Interface for Python calling C code."
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[package.dependencies]
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[[package]]
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name = "chardet"
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[package.dependencies]
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numpy = {version = ">=1.16,<2.0", markers = "python_version <= \"3.11\""}
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[package.extras]
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bokeh = ["bokeh", "selenium"]
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docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
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mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.4.1)", "types-Pillow"]
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test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
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test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
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name = "coverage"
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version = "7.4.1"
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description = "Code coverage measurement for Python"
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optional = false
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python-versions = ">=3.8"
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[package.dependencies]
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[package.extras]
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[[package]]
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name = "cryptography"
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description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
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tabulate = ">=0.9.0,<0.10.0"
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[[package]]
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name = "dill"
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version = "0.3.7"
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description = "serialize all of Python"
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optional = true
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python-versions = ">=3.7"
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description = "DNS toolkit"
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dnssec = ["cryptography (>=41)"]
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doq = ["aioquic (>=0.9.20)"]
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trio = ["trio (>=0.14)"]
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[[package]]
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name = "docopt"
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optional = true
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name = "duckdb"
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version = "0.9.2"
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description = "DuckDB embedded database"
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[package.extras]
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[[package]]
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description = "Fiona reads and writes spatial data files"
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[package.dependencies]
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certifi = "*"
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six = "*"
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[package.extras]
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calc = ["shapely"]
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|
s3 = ["boto3 (>=1.3.1)"]
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|
test = ["Fiona[s3]", "pytest (>=7)", "pytest-cov", "pytz"]
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[[package]]
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|
name = "fireworks-ai"
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version = "0.9.0"
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description = "Python client library for the Fireworks.ai Generative AI Platform"
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|
optional = false
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python-versions = ">=3.7"
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files = [
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[package.dependencies]
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httpx = "*"
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httpx-sse = "*"
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Pillow = "*"
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|
pydantic = "*"
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[[package]]
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name = "flatbuffers"
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version = "23.5.26"
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description = "The FlatBuffers serialization format for Python"
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optional = true
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python-versions = "*"
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files = [
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[[package]]
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name = "fonttools"
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version = "4.47.2"
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description = "Tools to manipulate font files"
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optional = true
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[package.extras]
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plot = ["matplotlib"]
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repacker = ["uharfbuzz (>=0.23.0)"]
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symfont = ["sympy"]
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type1 = ["xattr"]
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ufo = ["fs (>=2.2.0,<3)"]
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unicode = ["unicodedata2 (>=15.1.0)"]
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woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
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[[package]]
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name = "fqdn"
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python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
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description = "Let your Python tests travel through time"
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python-dateutil = ">=2.7"
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protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
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name = "gql"
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version = "3.5.0"
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description = "GraphQL client for Python"
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graphql-core = ">=3.2,<3.3"
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yarl = ">=1.6,<2.0"
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botocore = ["botocore (>=1.21,<2)"]
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httpx = ["httpx (>=0.23.1,<1)"]
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requests = ["requests (>=2.26,<3)", "requests-toolbelt (>=1.0.0,<2)"]
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test = ["aiofiles", "aiohttp (>=3.8.0,<4)", "aiohttp (>=3.9.0b0,<4)", "botocore (>=1.21,<2)", "httpx (>=0.23.1,<1)", "mock (==4.0.2)", "parse (==1.15.0)", "pytest (==7.4.2)", "pytest-asyncio (==0.21.1)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "requests (>=2.26,<3)", "requests-toolbelt (>=1.0.0,<2)", "vcrpy (==4.4.0)", "websockets (>=10,<12)"]
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test-no-transport = ["aiofiles", "mock (==4.0.2)", "parse (==1.15.0)", "pytest (==7.4.2)", "pytest-asyncio (==0.21.1)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "vcrpy (==4.4.0)"]
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description = "Lightweight in-process concurrent programming"
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[package.extras]
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docs = ["Sphinx", "furo"]
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test = ["objgraph", "psutil"]
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[[package]]
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name = "grpc-google-iam-v1"
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version = "0.13.0"
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description = "IAM API client library"
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optional = false
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python-versions = ">=3.7"
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files = [
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]
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[package.dependencies]
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googleapis-common-protos = {version = ">=1.56.0,<2.0.0dev", extras = ["grpc"]}
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grpcio = ">=1.44.0,<2.0.0dev"
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protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
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[[package]]
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name = "grpcio"
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version = "1.60.1"
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description = "HTTP/2-based RPC framework"
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optional = false
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python-versions = ">=3.7"
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protobuf = ["grpcio-tools (>=1.60.1)"]
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[[package]]
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name = "grpcio-status"
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version = "1.60.1"
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description = "Status proto mapping for gRPC"
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optional = false
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python-versions = ">=3.6"
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files = [
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[package.dependencies]
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grpcio = ">=1.60.1"
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protobuf = ">=4.21.6"
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[package.dependencies]
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|
grpcio = ">=1.60.1"
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|
protobuf = ">=4.21.6,<5.0dev"
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|
setuptools = "*"
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[[package]]
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name = "h11"
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description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
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optional = false
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python-versions = ">=3.7"
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[[package]]
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name = "hdbcli"
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version = "2.19.21"
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description = "SAP HANA Python Client"
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|
optional = true
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python-versions = "*"
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contourpy = ">=1.0.1"
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cycler = ">=0.10"
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fonttools = ">=4.22.0"
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importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
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kiwisolver = ">=1.0.1"
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numpy = ">=1.20,<2"
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packaging = ">=20.0"
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pillow = ">=6.2.0"
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pyparsing = ">=2.3.1"
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python-dateutil = ">=2.7"
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[[package]]
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name = "matplotlib-inline"
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version = "0.1.6"
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description = "Inline Matplotlib backend for Jupyter"
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optional = false
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python-versions = ">=3.5"
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files = [
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[package.dependencies]
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traitlets = "*"
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[[package]]
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name = "mdurl"
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version = "0.1.2"
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description = "Markdown URL utilities"
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optional = true
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python-versions = ">=3.7"
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files = [
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name = "mistune"
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version = "3.0.2"
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description = "A sane and fast Markdown parser with useful plugins and renderers"
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optional = false
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[[package]]
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name = "mlflow-skinny"
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version = "2.10.0"
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description = "MLflow: A Platform for ML Development and Productionization"
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optional = true
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python-versions = ">=3.8"
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files = [
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[package.dependencies]
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click = ">=7.0,<9"
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cloudpickle = "<4"
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databricks-cli = ">=0.8.7,<1"
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entrypoints = "<1"
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gitpython = ">=2.1.0,<4"
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importlib-metadata = ">=3.7.0,<4.7.0 || >4.7.0,<8"
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packaging = "<24"
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protobuf = ">=3.12.0,<5"
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pytz = "<2024"
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pyyaml = ">=5.1,<7"
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requests = ">=2.17.3,<3"
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sqlparse = ">=0.4.0,<1"
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[package.extras]
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aliyun-oss = ["aliyunstoreplugin"]
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databricks = ["azure-storage-file-datalake (>12)", "boto3 (>1)", "botocore (>1.34)", "google-cloud-storage (>=1.30.0)"]
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extras = ["azureml-core (>=1.2.0)", "boto3", "botocore", "google-cloud-storage (>=1.30.0)", "kubernetes", "mlserver (>=1.2.0,!=1.3.1)", "mlserver-mlflow (>=1.2.0,!=1.3.1)", "prometheus-flask-exporter", "pyarrow", "pysftp", "requests-auth-aws-sigv4", "virtualenv"]
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gateway = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "pydantic (>=1.0,<3)", "slowapi (<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<1)"]
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genai = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "pydantic (>=1.0,<3)", "slowapi (<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<1)"]
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sqlserver = ["mlflow-dbstore"]
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xethub = ["mlflow-xethub"]
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[[package]]
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name = "motor"
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version = "3.3.2"
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description = "Non-blocking MongoDB driver for Tornado or asyncio"
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optional = true
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[package.extras]
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aws = ["pymongo[aws] (>=4.5,<5)"]
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gssapi = ["pymongo[gssapi] (>=4.5,<5)"]
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ocsp = ["pymongo[ocsp] (>=4.5,<5)"]
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snappy = ["pymongo[snappy] (>=4.5,<5)"]
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srv = ["pymongo[srv] (>=4.5,<5)"]
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test = ["aiohttp (<3.8.6)", "mockupdb", "motor[encryption]", "pytest (>=7)", "tornado (>=5)"]
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zstd = ["pymongo[zstd] (>=4.5,<5)"]
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[[package]]
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name = "mpmath"
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version = "1.3.0"
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description = "Python library for arbitrary-precision floating-point arithmetic"
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name = "msal"
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version = "1.26.0"
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description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
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cryptography = ">=0.6,<44"
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requests = ">=2.0.0,<3"
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broker = ["pymsalruntime (>=0.13.2,<0.14)"]
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version = "2.121.0"
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|
description = "Oracle Cloud Infrastructure Python SDK"
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|
optional = true
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|
python-versions = "*"
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files = [
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[package.dependencies]
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certifi = "*"
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circuitbreaker = ">=1.3.1,<2.0.0"
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cryptography = ">=3.2.1,<42.0.0"
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pyOpenSSL = ">=17.5.0,<24.0.0"
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python-dateutil = ">=2.5.3,<3.0.0"
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pytz = ">=2016.10"
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[[package]]
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|
name = "ocifs"
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|
version = "1.3.1"
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|
description = "Convenient filesystem interface over Oracle Cloud's Object Storage"
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|
optional = true
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|
python-versions = ">=3.6"
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|
files = [
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{file = "ocifs-1.3.1-py3-none-any.whl", hash = "sha256:55a96bfd4421f6bebadd11821a934bd5325d8fb51dc71ed56fd164b382c0af4c"},
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{file = "ocifs-1.3.1.tar.gz", hash = "sha256:a4e25ee1df75ec94d74cdb3b54f1629fc32d3cd0fb6c15fc89296550a9fc45f8"},
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]
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[package.dependencies]
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fsspec = ">=0.8.7"
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oci = ">=2.43.1"
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|
requests = "*"
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[[package]]
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|
name = "onnxruntime"
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|
version = "1.17.0"
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description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
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optional = true
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python-versions = "*"
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files = [
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]
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[package.dependencies]
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coloredlogs = "*"
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flatbuffers = "*"
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numpy = ">=1.21.6"
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packaging = "*"
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protobuf = "*"
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|
sympy = "*"
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|
|
|
[[package]]
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|
name = "openai"
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|
version = "1.11.1"
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|
description = "The official Python library for the openai API"
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|
optional = false
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|
python-versions = ">=3.7.1"
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|
files = [
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{file = "openai-1.11.1-py3-none-any.whl", hash = "sha256:e0f388ce499f53f58079d0c1f571f356f2b168b84d0d24a412506b6abc714980"},
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{file = "openai-1.11.1.tar.gz", hash = "sha256:f66b8fe431af43e09594147ef3cdcb79758285de72ebafd52be9700a2af41e99"},
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[package.dependencies]
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anyio = ">=3.5.0,<5"
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distro = ">=1.7.0,<2"
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httpx = ">=0.23.0,<1"
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pydantic = ">=1.9.0,<3"
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sniffio = "*"
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|
tqdm = ">4"
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typing-extensions = ">=4.7,<5"
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[package.extras]
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datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
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|
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[[package]]
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|
name = "openapi-pydantic"
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|
version = "0.3.2"
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|
description = "Pydantic OpenAPI schema implementation"
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|
optional = true
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|
python-versions = ">=3.8,<4.0"
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|
files = [
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{file = "openapi_pydantic-0.3.2-py3-none-any.whl", hash = "sha256:24488566a0a61bee3b55de6d3665329adaf2aadfe8f292ac0bddfe22155fadac"},
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[package.dependencies]
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pydantic = ">=1.8"
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|
[[package]]
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|
name = "opencv-python"
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|
version = "4.9.0.80"
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|
description = "Wrapper package for OpenCV python bindings."
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|
optional = true
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|
python-versions = ">=3.6"
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|
files = [
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{file = "opencv-python-4.9.0.80.tar.gz", hash = "sha256:1a9f0e6267de3a1a1db0c54213d022c7c8b5b9ca4b580e80bdc58516c922c9e1"},
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]
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|
[package.dependencies]
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|
numpy = [
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|
{version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\" and python_version >= \"3.8\""},
|
|
{version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
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{version = ">=1.17.3", markers = "(platform_system != \"Darwin\" and platform_system != \"Linux\") and python_version >= \"3.8\" and python_version < \"3.9\" or platform_system != \"Darwin\" and python_version >= \"3.8\" and python_version < \"3.9\" and platform_machine != \"aarch64\" or platform_machine != \"arm64\" and python_version >= \"3.8\" and python_version < \"3.9\" and platform_system != \"Linux\" or (platform_machine != \"arm64\" and platform_machine != \"aarch64\") and python_version >= \"3.8\" and python_version < \"3.9\""},
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{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
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|
{version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
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|
{version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
|
|
]
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|
|
|
[[package]]
|
|
name = "oracle-ads"
|
|
version = "2.10.0"
|
|
description = "Oracle Accelerated Data Science SDK"
|
|
optional = true
|
|
python-versions = ">=3.8"
|
|
files = [
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|
{file = "oracle_ads-2.10.0-py3-none-any.whl", hash = "sha256:df2572d8470915ca2c1d9fe4154930e23080c96695316a0caaff56e2d78d46cd"},
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{file = "oracle_ads-2.10.0.tar.gz", hash = "sha256:90d63250928867fe0a3b4730dc20ea5eed6587d6e069f5fe9f6414eae9df6a1b"},
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]
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|
|
[package.dependencies]
|
|
asteval = ">=0.9.25"
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|
cerberus = ">=1.3.4"
|
|
cloudpickle = ">=1.6.0"
|
|
fsspec = ">=0.8.7"
|
|
gitpython = ">=3.1.2"
|
|
jinja2 = ">=2.11.2"
|
|
matplotlib = ">=3.1.3"
|
|
numpy = ">=1.19.2"
|
|
oci = ">=2.113.0"
|
|
ocifs = ">=1.1.3"
|
|
pandas = ">1.2.1,<2.1"
|
|
psutil = ">=5.7.2"
|
|
python_jsonschema_objects = ">=0.3.13"
|
|
PyYAML = ">=6"
|
|
requests = "*"
|
|
scikit-learn = ">=1.0"
|
|
tabulate = ">=0.8.9"
|
|
tqdm = ">=4.59.0"
|
|
|
|
[package.extras]
|
|
bds = ["hdfs[kerberos]", "ibis-framework[impala]", "sqlalchemy"]
|
|
boosted = ["lightgbm (<4.0.0)", "xgboost"]
|
|
data = ["datefinder (>=0.7.1)", "fastavro (>=0.24.2)", "htmllistparse (>=0.6.0)", "openpyxl (>=3.0.7)", "oracledb (>=1.0)", "pandavro (>=1.6.0)", "sqlalchemy (>=1.4.1,<=1.4.46)"]
|
|
feature-store-marketplace = ["kubernetes", "oracle-ads[opctl]"]
|
|
forecast = ["autots[additional]", "conda-pack", "datapane", "holidays (==0.21.13)", "inflection", "nbconvert", "nbformat", "neuralprophet", "numpy", "oci-cli", "oci-cli", "optuna (==2.9.0)", "oracle-ads", "oracle-automlx[forecasting] (==23.2.3)", "plotly", "pmdarima", "prophet", "py-cpuinfo", "rich", "shap", "sktime", "statsmodels"]
|
|
geo = ["geopandas", "oracle_ads[viz]"]
|
|
huggingface = ["transformers"]
|
|
llm = ["evaluate (>=0.4.0)", "langchain (>=0.0.295)"]
|
|
notebook = ["ipython (>=7.23.1,<8.0)", "ipywidgets (>=7.6.3,<7.7.0)"]
|
|
onnx = ["lightgbm (<4.0.0)", "onnx (>=1.12.0)", "onnxmltools (>=1.10.0)", "onnxruntime (>=1.10.0,<1.16)", "oracle_ads[viz]", "protobuf (<=3.20)", "skl2onnx (>=1.10.4)", "tf2onnx", "xgboost (<=1.7)"]
|
|
opctl = ["conda-pack", "docker", "inflection", "nbconvert", "nbformat", "oci-cli", "py-cpuinfo", "rich"]
|
|
optuna = ["optuna (==2.9.0)", "oracle_ads[viz]"]
|
|
pii = ["aiohttp", "datapane", "gender_guesser", "nameparser", "oracle_ads[opctl]", "plotly", "scrubadub (==2.0.1)", "scrubadub_spacy", "spacy (==3.6.1)", "spacy-transformers (==1.2.5)"]
|
|
spark = ["pyspark (>=3.0.0)"]
|
|
tensorflow = ["oracle_ads[viz]", "tensorflow"]
|
|
text = ["spacy", "wordcloud (>=1.8.1)"]
|
|
torch = ["oracle_ads[viz]", "torch", "torchvision"]
|
|
viz = ["bokeh (>=2.3.0,<=2.4.3)", "folium (>=0.12.1)", "graphviz (<0.17)", "scipy (>=1.5.4)", "seaborn (>=0.11.0)"]
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|
|
|
[[package]]
|
|
name = "orjson"
|
|
version = "3.9.13"
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|
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
|
|
optional = true
|
|
python-versions = ">=3.8"
|
|
files = [
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{file = "orjson-3.9.13-cp310-none-win32.whl", hash = "sha256:0d3ba9d88e20765335260d7b25547d7c571eee2b698200f97afa7d8c7cd668fc"},
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description = "Resolve a name to an object."
|
|
optional = false
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|
python-versions = ">=3.6"
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|
files = [
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{file = "pkgutil_resolve_name-1.3.10-py3-none-any.whl", hash = "sha256:ca27cc078d25c5ad71a9de0a7a330146c4e014c2462d9af19c6b828280649c5e"},
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{file = "pkgutil_resolve_name-1.3.10.tar.gz", hash = "sha256:357d6c9e6a755653cfd78893817c0853af365dd51ec97f3d358a819373bbd174"},
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]
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[[package]]
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|
name = "platformdirs"
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|
version = "4.2.0"
|
|
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
|
optional = false
|
|
python-versions = ">=3.8"
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|
files = [
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{file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"},
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{file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"},
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]
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[package.extras]
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|
docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
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|
test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
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[[package]]
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|
name = "pluggy"
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|
version = "1.4.0"
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|
description = "plugin and hook calling mechanisms for python"
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|
optional = false
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|
python-versions = ">=3.8"
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files = [
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{file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"},
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{file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"},
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]
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[package.extras]
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dev = ["pre-commit", "tox"]
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|
testing = ["pytest", "pytest-benchmark"]
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|
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|
[[package]]
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|
name = "praw"
|
|
version = "7.7.1"
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|
description = "PRAW, an acronym for \"Python Reddit API Wrapper\", is a Python package that allows for simple access to Reddit's API."
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|
optional = true
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|
python-versions = "~=3.7"
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|
files = [
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{file = "praw-7.7.1-py3-none-any.whl", hash = "sha256:9ec5dc943db00c175bc6a53f4e089ce625f3fdfb27305564b616747b767d38ef"},
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{file = "praw-7.7.1.tar.gz", hash = "sha256:f1d7eef414cafe28080dda12ed09253a095a69933d5c8132eca11d4dc8a070bf"},
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|
]
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|
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|
[package.dependencies]
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|
prawcore = ">=2.1,<3"
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|
update-checker = ">=0.18"
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|
websocket-client = ">=0.54.0"
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|
|
|
[package.extras]
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|
ci = ["coveralls"]
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|
dev = ["betamax (>=0.8,<0.9)", "betamax-matchers (>=0.3.0,<0.5)", "furo", "packaging", "pre-commit", "pytest (>=2.7.3)", "requests (>=2.20.1,<3)", "sphinx", "urllib3 (==1.26.*)"]
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|
lint = ["furo", "pre-commit", "sphinx"]
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|
readthedocs = ["furo", "sphinx"]
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|
test = ["betamax (>=0.8,<0.9)", "betamax-matchers (>=0.3.0,<0.5)", "pytest (>=2.7.3)", "requests (>=2.20.1,<3)", "urllib3 (==1.26.*)"]
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|
|
|
[[package]]
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|
name = "prawcore"
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|
version = "2.4.0"
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|
description = "\"Low-level communication layer for PRAW 4+."
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|
optional = true
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|
python-versions = "~=3.8"
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|
files = [
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{file = "prawcore-2.4.0-py3-none-any.whl", hash = "sha256:29af5da58d85704b439ad3c820873ad541f4535e00bb98c66f0fbcc8c603065a"},
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{file = "prawcore-2.4.0.tar.gz", hash = "sha256:b7b2b5a1d04406e086ab4e79988dc794df16059862f329f4c6a43ed09986c335"},
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[package.dependencies]
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|
requests = ">=2.6.0,<3.0"
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|
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|
[package.extras]
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|
ci = ["coveralls"]
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|
dev = ["packaging", "prawcore[lint]", "prawcore[test]"]
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|
lint = ["pre-commit", "ruff (>=0.0.291)"]
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|
test = ["betamax (>=0.8,<0.9)", "pytest (>=2.7.3)", "urllib3 (==1.26.*)"]
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|
|
|
[[package]]
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|
name = "prometheus-client"
|
|
version = "0.19.0"
|
|
description = "Python client for the Prometheus monitoring system."
|
|
optional = false
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|
python-versions = ">=3.8"
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|
files = [
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|
{file = "prometheus_client-0.19.0-py3-none-any.whl", hash = "sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92"},
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{file = "prometheus_client-0.19.0.tar.gz", hash = "sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1"},
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]
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|
[package.extras]
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|
twisted = ["twisted"]
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|
|
|
[[package]]
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|
name = "prompt-toolkit"
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|
version = "3.0.43"
|
|
description = "Library for building powerful interactive command lines in Python"
|
|
optional = false
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|
python-versions = ">=3.7.0"
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|
files = [
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{file = "prompt_toolkit-3.0.43-py3-none-any.whl", hash = "sha256:a11a29cb3bf0a28a387fe5122cdb649816a957cd9261dcedf8c9f1fef33eacf6"},
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]
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[package.dependencies]
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|
wcwidth = "*"
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|
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|
[[package]]
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|
name = "proto-plus"
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|
version = "1.23.0"
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|
description = "Beautiful, Pythonic protocol buffers."
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|
optional = false
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|
python-versions = ">=3.6"
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|
files = [
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{file = "proto-plus-1.23.0.tar.gz", hash = "sha256:89075171ef11988b3fa157f5dbd8b9cf09d65fffee97e29ce403cd8defba19d2"},
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|
[package.dependencies]
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|
protobuf = ">=3.19.0,<5.0.0dev"
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|
|
|
[package.extras]
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|
testing = ["google-api-core[grpc] (>=1.31.5)"]
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|
|
|
[[package]]
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|
name = "protobuf"
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|
version = "4.25.2"
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|
description = ""
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|
optional = false
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|
python-versions = ">=3.8"
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|
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|
[[package]]
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|
name = "psutil"
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|
version = "5.9.8"
|
|
description = "Cross-platform lib for process and system monitoring in Python."
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|
optional = false
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|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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|
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{file = "psutil-5.9.8-cp37-abi3-win32.whl", hash = "sha256:bc56c2a1b0d15aa3eaa5a60c9f3f8e3e565303b465dbf57a1b730e7a2b9844e0"},
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{file = "psutil-5.9.8.tar.gz", hash = "sha256:6be126e3225486dff286a8fb9a06246a5253f4c7c53b475ea5f5ac934e64194c"},
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|
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|
[package.extras]
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|
test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
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|
|
|
[[package]]
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|
name = "psychicapi"
|
|
version = "0.8.4"
|
|
description = "Psychic.dev is an open-source data integration platform for LLMs. This is the Python client for Psychic"
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|
optional = true
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|
python-versions = "*"
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|
files = [
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|
[package.dependencies]
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|
requests = "*"
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|
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|
[[package]]
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|
name = "psycopg2"
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|
version = "2.9.9"
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|
description = "psycopg2 - Python-PostgreSQL Database Adapter"
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|
optional = true
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|
python-versions = ">=3.7"
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|
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|
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[[package]]
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|
name = "psycopg2-binary"
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|
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|
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|
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|
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|
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[package.dependencies]
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jinja2 = ">=2.10.1"
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numpy = ">=1.16.4"
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[package.extras]
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carto = ["pydeck-carto"]
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jupyter = ["ipykernel (>=5.1.2)", "ipython (>=5.8.0)", "ipywidgets (>=7,<8)", "traitlets (>=4.3.2)"]
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[[package]]
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name = "pygments"
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version = "2.17.2"
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description = "Pygments is a syntax highlighting package written in Python."
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optional = false
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python-versions = ">=3.7"
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files = [
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[package.extras]
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plugins = ["importlib-metadata"]
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windows-terminal = ["colorama (>=0.4.6)"]
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[[package]]
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name = "pyjwt"
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version = "2.8.0"
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description = "JSON Web Token implementation in Python"
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optional = true
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python-versions = ">=3.7"
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files = [
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{file = "PyJWT-2.8.0-py3-none-any.whl", hash = "sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320"},
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[package.dependencies]
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cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"crypto\""}
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[package.extras]
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crypto = ["cryptography (>=3.4.0)"]
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dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.4.0)", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
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docs = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
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tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
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[[package]]
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name = "pymongo"
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version = "4.6.1"
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description = "Python driver for MongoDB <http://www.mongodb.org>"
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optional = true
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python-versions = ">=3.7"
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aws = ["pymongo-auth-aws (<2.0.0)"]
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gssapi = ["pykerberos", "winkerberos (>=0.5.0)"]
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ocsp = ["certifi", "cryptography (>=2.5)", "pyopenssl (>=17.2.0)", "requests (<3.0.0)", "service-identity (>=18.1.0)"]
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snappy = ["python-snappy"]
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test = ["pytest (>=7)"]
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zstd = ["zstandard"]
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name = "pymupdf"
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diagrams = ["jinja2", "railroad-diagrams"]
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[[package]]
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crypto = ["PyCryptodome", "cryptography"]
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docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
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full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
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image = ["Pillow (>=8.0.0)"]
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[[package]]
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name = "pypdfium2"
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version = "4.26.0"
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]
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[package.extras]
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full = ["numpy"]
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[[package]]
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|
name = "rapidocr-onnxruntime"
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version = "1.3.7"
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description = "A cross platform OCR Library based on OnnxRuntime."
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optional = true
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python-versions = ">=3.6,<3.12"
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files = [
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]
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[package.dependencies]
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numpy = ">=1.19.5"
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|
onnxruntime = ">=1.7.0"
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|
opencv-python = ">=4.5.1.48"
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Pillow = "*"
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pyclipper = ">=1.2.0"
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PyYAML = "*"
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Shapely = ">=1.7.1"
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six = ">=1.15.0"
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[[package]]
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name = "rdflib"
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|
version = "7.0.0"
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description = "RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information."
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optional = true
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python-versions = ">=3.8.1,<4.0.0"
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files = [
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pyparsing = ">=2.1.0,<4"
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[package.extras]
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berkeleydb = ["berkeleydb (>=18.1.0,<19.0.0)"]
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html = ["html5lib (>=1.0,<2.0)"]
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lxml = ["lxml (>=4.3.0,<5.0.0)"]
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networkx = ["networkx (>=2.0.0,<3.0.0)"]
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[[package]]
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name = "referencing"
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version = "0.33.0"
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description = "JSON Referencing + Python"
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optional = false
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python-versions = ">=3.8"
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[package.dependencies]
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[[package]]
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name = "regex"
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version = "2023.12.25"
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mssql = ["pyodbc"]
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mssql-pyodbc = ["pyodbc"]
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mypy = ["mypy (>=0.910)"]
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oracle = ["cx_oracle (>=8)"]
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postgresql-psycopg2binary = ["psycopg2-binary"]
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postgresql-psycopg2cffi = ["psycopg2cffi"]
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tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
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[[package]]
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name = "sympy"
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description = "Computer algebra system (CAS) in Python"
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[package.dependencies]
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regex = ">=2022.1.18"
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requests = ">=2.26.0"
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[package.extras]
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blobfile = ["blobfile (>=2)"]
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[[package]]
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name = "timescale-vector"
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version = "0.0.1"
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description = "Python library for storing vector data in Postgres"
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optional = true
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python-versions = ">=3.7"
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files = [
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[package.dependencies]
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asyncpg = "*"
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pgvector = "*"
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psycopg2 = "*"
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[package.extras]
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dev = ["python-dotenv"]
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[[package]]
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name = "tinycss2"
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version = "1.2.1"
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description = "A tiny CSS parser"
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doc = ["sphinx", "sphinx_rtd_theme"]
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[[package]]
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name = "tinysegmenter"
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version = "0.3"
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description = "Very compact Japanese tokenizer"
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optional = true
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name = "tldextract"
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description = "Accurately separates a URL's subdomain, domain, and public suffix, using the Public Suffix List (PSL). By default, this includes the public ICANN TLDs and their exceptions. You can optionally support the Public Suffix List's private domains as well."
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idna = "*"
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requests-file = ">=1.4"
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testing = ["black", "mypy", "pytest", "pytest-gitignore", "pytest-mock", "responses", "ruff", "tox", "types-filelock", "types-requests"]
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name = "tokenizers"
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[[package]]
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name = "yarl"
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version = "1.9.4"
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description = "Yet another URL library"
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optional = false
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python-versions = ">=3.7"
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]
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[package.dependencies]
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idna = ">=2.0"
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multidict = ">=4.0"
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[[package]]
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name = "zhipuai"
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version = "1.0.7"
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description = "A SDK library for accessing big model apis from ZhipuAI"
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optional = true
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python-versions = ">=3.6"
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files = [
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{file = "zhipuai-1.0.7-py3-none-any.whl", hash = "sha256:360c01b8c2698f366061452e86d5a36a5ff68a576ea33940da98e4806f232530"},
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{file = "zhipuai-1.0.7.tar.gz", hash = "sha256:b80f699543d83cce8648acf1ce32bc2725d1c1c443baffa5882abc2cc704d581"},
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]
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[package.dependencies]
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cachetools = "*"
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dataclasses = "*"
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PyJWT = "*"
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|
requests = "*"
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[[package]]
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|
name = "zipp"
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|
version = "3.17.0"
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description = "Backport of pathlib-compatible object wrapper for zip files"
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|
optional = false
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python-versions = ">=3.8"
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files = [
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{file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
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{file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
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]
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[package.extras]
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|
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
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|
testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
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|
|
|
[extras]
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|
cli = ["typer"]
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|
extended-testing = ["aiosqlite", "aleph-alpha-client", "anthropic", "arxiv", "assemblyai", "atlassian-python-api", "azure-ai-documentintelligence", "beautifulsoup4", "bibtexparser", "cassio", "chardet", "cohere", "databricks-vectorsearch", "datasets", "dgml-utils", "elasticsearch", "esprima", "faiss-cpu", "feedparser", "fireworks-ai", "geopandas", "gitpython", "google-cloud-documentai", "gql", "gradientai", "hdbcli", "hologres-vector", "html2text", "httpx", "javelin-sdk", "jinja2", "jq", "jsonschema", "lxml", "markdownify", "motor", "msal", "mwparserfromhell", "mwxml", "newspaper3k", "numexpr", "nvidia-riva-client", "oci", "openai", "openapi-pydantic", "oracle-ads", "pandas", "pdfminer-six", "pgvector", "praw", "psychicapi", "py-trello", "pymupdf", "pypdf", "pypdfium2", "pyspark", "rank-bm25", "rapidfuzz", "rapidocr-onnxruntime", "rdflib", "requests-toolbelt", "rspace_client", "scikit-learn", "sqlite-vss", "streamlit", "sympy", "telethon", "timescale-vector", "tqdm", "upstash-redis", "xata", "xmltodict", "zhipuai"]
|
|
|
|
[metadata]
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|
lock-version = "2.0"
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|
python-versions = ">=3.8.1,<4.0"
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content-hash = "0b962fcc5239d0c57ce7c17fec359e236fdff47970b4863286fd8ae82a9a2079"
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