diff --git a/poetry.lock b/poetry.lock index 4a59e44b..b63bb698 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry and should not be changed by hand. +# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. [[package]] name = "absl-py" @@ -1625,19 +1625,21 @@ wmi = ["wmi (>=1.5.1,<2.0.0)"] [[package]] name = "docarray" -version = "0.31.1" +version = "0.32.0" description = "The data structure for multimodal data" category = "main" optional = true python-versions = ">=3.7,<4.0" files = [ - {file = "docarray-0.31.1-py3-none-any.whl", hash = "sha256:286842c84a9946648f36b2a4dc33bcb47589780b4614e5cd32ce67c5a46cb4c0"}, - {file = "docarray-0.31.1.tar.gz", hash = "sha256:096b1eabf0be3c0b1517bbbe82485c19a0de61dde24b8f3448f26c5ead672c4a"}, + {file = "docarray-0.32.0-py3-none-any.whl", hash = "sha256:5216858966ea42133614be421ef7ae670d020bfdfcd2ab3e0118a4a8ecc77034"}, + {file = "docarray-0.32.0.tar.gz", hash = "sha256:7a3156cb0d13dec7d6b85f193b339b823748446fc9fff1e0ca4c2ef50b4183d2"}, ] [package.dependencies] +hnswlib = {version = ">=0.6.2", optional = true, markers = "extra == \"hnswlib\""} numpy = ">=1.17.3" orjson = ">=3.8.2" +protobuf = {version = ">=3.19.0", optional = true, markers = "extra == \"proto\" or extra == \"hnswlib\" or extra == \"full\""} pydantic = ">=1.10.2" rich = ">=13.1.0" types-requests = ">=2.28.11.6" @@ -1648,7 +1650,7 @@ audio = ["pydub (>=0.25.1,<0.26.0)"] aws = ["smart-open[s3] (>=6.3.0)"] elasticsearch = ["elastic-transport (>=8.4.0,<9.0.0)", "elasticsearch (>=7.10.1)"] full = ["av (>=10.0.0)", "lz4 (>=1.0.0)", "pandas (>=1.1.0)", "pillow (>=9.3.0)", "protobuf (>=3.19.0)", "pydub (>=0.25.1,<0.26.0)", "trimesh[easy] (>=3.17.1)", "types-pillow (>=9.3.0.1)"] -hnswlib = ["hnswlib (>=0.6.2)"] +hnswlib = ["hnswlib (>=0.6.2)", "protobuf (>=3.19.0)"] image = ["pillow (>=9.3.0)", "types-pillow (>=9.3.0.1)"] jac = ["jina-hubble-sdk (>=0.34.0)"] mesh = ["trimesh[easy] (>=3.17.1)"] @@ -6653,7 +6655,6 @@ files = [ {file = "pylance-0.4.12-cp38-abi3-macosx_10_15_x86_64.whl", hash = "sha256:2b86fb8dccc03094c0db37bef0d91bda60e8eb0d1eddf245c6971450c8d8a53f"}, {file = "pylance-0.4.12-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:0bc82914b13204187d673b5f3d45f93219c38a0e9d0542ba251074f639669789"}, {file = "pylance-0.4.12-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5a4bcce77f99ecd4cbebbadb01e58d5d8138d40eb56bdcdbc3b20b0475e7a472"}, - {file = "pylance-0.4.12-cp38-abi3-win_amd64.whl", hash = "sha256:9616931c5300030adb9626d22515710a127d1e46a46737a7a0f980b52f13627c"}, ] [package.dependencies] @@ -10378,14 +10379,13 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\ cffi = ["cffi (>=1.11)"] [extras] -all = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "jina", "manifest-ml", "elasticsearch", "opensearch-py", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "pinecone-text", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf", "networkx", "nomic", "aleph-alpha-client", "deeplake", "pgvector", "psycopg2-binary", "pyowm", "pytesseract", "html2text", "atlassian-python-api", "gptcache", "duckduckgo-search", "arxiv", "azure-identity", "clickhouse-connect", "azure-cosmos", "lancedb", "lark", "pexpect", "pyvespa", "O365", "jq", "docarray", "protobuf", "hnswlib", "steamship", "pdfminer-six", "lxml", "requests-toolbelt", "neo4j"] -azure = ["azure-identity", "azure-cosmos", "openai", "azure-core"] +all = ["O365", "aleph-alpha-client", "anthropic", "arxiv", "atlassian-python-api", "azure-cosmos", "azure-identity", "beautifulsoup4", "clickhouse-connect", "cohere", "deeplake", "docarray", "duckduckgo-search", "elasticsearch", "faiss-cpu", "google-api-python-client", "google-search-results", "gptcache", "html2text", "huggingface_hub", "jina", "jinja2", "jq", "lancedb", "lark", "lxml", "manifest-ml", "neo4j", "networkx", "nlpcloud", "nltk", "nomic", "openai", "opensearch-py", "pdfminer-six", "pexpect", "pgvector", "pinecone-client", "pinecone-text", "psycopg2-binary", "pyowm", "pypdf", "pytesseract", "pyvespa", "qdrant-client", "redis", "requests-toolbelt", "sentence-transformers", "spacy", "steamship", "tensorflow-text", "tiktoken", "torch", "transformers", "weaviate-client", "wikipedia", "wolframalpha"] +azure = ["azure-core", "azure-cosmos", "azure-identity", "openai"] cohere = ["cohere"] +docarray = ["docarray"] embeddings = ["sentence-transformers"] -extended-testing = ["beautifulsoup4", "chardet", "jq", "pdfminer-six", "pypdf", "pymupdf", "pypdfium2", "tqdm", "lxml", "atlassian-python-api", "beautifulsoup4", "pandas", "telethon", "psychicapi", "zep-python", "gql", "requests-toolbelt", "html2text"] -hnswlib = ["docarray", "protobuf", "hnswlib"] -in-memory-store = ["docarray"] -llms = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "torch", "transformers"] +extended-testing = ["atlassian-python-api", "beautifulsoup4", "beautifulsoup4", "chardet", "gql", "html2text", "jq", "lxml", "pandas", "pdfminer-six", "psychicapi", "pymupdf", "pypdf", "pypdfium2", "requests-toolbelt", "telethon", "tqdm", "zep-python"] +llms = ["anthropic", "cohere", "huggingface_hub", "manifest-ml", "nlpcloud", "openai", "torch", "transformers"] openai = ["openai", "tiktoken"] qdrant = ["qdrant-client"] text-helpers = ["chardet"] @@ -10393,4 +10393,4 @@ text-helpers = ["chardet"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "e41e0253ccc1137f3f4a8f3627fb5165f611dfd57e65960c95421e868f4defae" +content-hash = "7c14d63435a60c32edbb4d7adcc647430cf64a80aa26c1515fba28d5433efc6b" diff --git a/pyproject.toml b/pyproject.toml index 4d221ad8..cf1a931c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -79,9 +79,7 @@ O365 = {version = "^2.0.26", optional = true} jq = {version = "^1.4.1", optional = true} steamship = {version = "^2.16.9", optional = true} pdfminer-six = {version = "^20221105", optional = true} -docarray = {version="^0.31.0", optional=true} -protobuf = {version="3.19.6", optional=true} -hnswlib = {version="^0.7.0", optional=true} +docarray = {version="^0.32.0", extras=["hnswlib"], optional=true} lxml = {version = "^4.9.2", optional = true} pymupdf = {version = "^1.22.3", optional = true} pypdfium2 = {version = "^4.10.0", optional = true} @@ -181,8 +179,7 @@ qdrant = ["qdrant-client"] openai = ["openai", "tiktoken"] text_helpers = ["chardet"] cohere = ["cohere"] -in_memory_store = ["docarray"] -hnswlib = ["docarray", "protobuf", "hnswlib"] +docarray = ["docarray"] embeddings = ["sentence-transformers"] azure = ["azure-identity", "azure-cosmos", "openai", "azure-core"] all = [ @@ -238,8 +235,6 @@ all = [ "O365", "jq", "docarray", - "protobuf", - "hnswlib", "steamship", "pdfminer-six", "lxml",