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partners[milvus]: fix integration test issues (#26136)
fix some integration test issues: https://github.com/langchain-ai/langchain/actions/runs/10688447230/job/29628412258 Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Erick Friis <erick@langchain.dev>
This commit is contained in:
ChengZi
GitHub
parent
5c1ebd3086
commit
a03141ac51
@ -394,7 +394,7 @@ class Milvus(VectorStore):
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and (addr["address"] == given_address)
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and ("user" in addr)
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and (addr["user"] == tmp_user)
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and (addr["db_name"] == db_name)
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and (addr.get("db_name", "default") == db_name)
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):
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logger.debug("Using previous connection: %s", con[0])
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return con[0]
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654
libs/partners/milvus/poetry.lock
generated
654
libs/partners/milvus/poetry.lock
generated
@ -174,6 +174,23 @@ files = [
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{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
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]
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[[package]]
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name = "coloredlogs"
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version = "15.0.1"
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description = "Colored terminal output for Python's logging module"
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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files = [
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{file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
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{file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
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]
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[package.dependencies]
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humanfriendly = ">=9.1"
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[package.extras]
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cron = ["capturer (>=2.4)"]
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[[package]]
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name = "environs"
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version = "9.5.0"
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@ -209,6 +226,33 @@ files = [
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[package.extras]
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test = ["pytest (>=6)"]
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[[package]]
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name = "filelock"
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version = "3.15.4"
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description = "A platform independent file lock."
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
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{file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
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]
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[package.extras]
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docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
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testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"]
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typing = ["typing-extensions (>=4.8)"]
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[[package]]
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name = "flatbuffers"
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version = "24.3.25"
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description = "The FlatBuffers serialization format for Python"
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optional = false
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python-versions = "*"
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files = [
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{file = "flatbuffers-24.3.25-py2.py3-none-any.whl", hash = "sha256:8dbdec58f935f3765e4f7f3cf635ac3a77f83568138d6a2311f524ec96364812"},
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{file = "flatbuffers-24.3.25.tar.gz", hash = "sha256:de2ec5b203f21441716617f38443e0a8ebf3d25bf0d9c0bb0ce68fa00ad546a4"},
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]
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[[package]]
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name = "freezegun"
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version = "1.5.1"
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@ -223,6 +267,45 @@ files = [
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[package.dependencies]
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python-dateutil = ">=2.7"
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[[package]]
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name = "fsspec"
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version = "2024.9.0"
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description = "File-system specification"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"},
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{file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"},
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]
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[package.extras]
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abfs = ["adlfs"]
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adl = ["adlfs"]
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arrow = ["pyarrow (>=1)"]
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dask = ["dask", "distributed"]
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dev = ["pre-commit", "ruff"]
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doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
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dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
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fuse = ["fusepy"]
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gcs = ["gcsfs"]
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git = ["pygit2"]
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github = ["requests"]
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gs = ["gcsfs"]
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gui = ["panel"]
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hdfs = ["pyarrow (>=1)"]
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http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
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libarchive = ["libarchive-c"]
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oci = ["ocifs"]
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s3 = ["s3fs"]
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sftp = ["paramiko"]
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smb = ["smbprotocol"]
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ssh = ["paramiko"]
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test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
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test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
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test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
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tqdm = ["tqdm"]
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[[package]]
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name = "grpcio"
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version = "1.66.1"
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@ -338,6 +421,54 @@ http2 = ["h2 (>=3,<5)"]
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socks = ["socksio (==1.*)"]
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zstd = ["zstandard (>=0.18.0)"]
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[[package]]
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name = "huggingface-hub"
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version = "0.24.6"
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description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
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optional = false
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python-versions = ">=3.8.0"
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files = [
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{file = "huggingface_hub-0.24.6-py3-none-any.whl", hash = "sha256:a990f3232aa985fe749bc9474060cbad75e8b2f115f6665a9fda5b9c97818970"},
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{file = "huggingface_hub-0.24.6.tar.gz", hash = "sha256:cc2579e761d070713eaa9c323e3debe39d5b464ae3a7261c39a9195b27bb8000"},
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]
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[package.dependencies]
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filelock = "*"
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fsspec = ">=2023.5.0"
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packaging = ">=20.9"
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pyyaml = ">=5.1"
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requests = "*"
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tqdm = ">=4.42.1"
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typing-extensions = ">=3.7.4.3"
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[package.extras]
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all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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cli = ["InquirerPy (==0.3.4)"]
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dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
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hf-transfer = ["hf-transfer (>=0.1.4)"]
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inference = ["aiohttp", "minijinja (>=1.0)"]
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quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
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tensorflow = ["graphviz", "pydot", "tensorflow"]
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tensorflow-testing = ["keras (<3.0)", "tensorflow"]
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testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
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torch = ["safetensors[torch]", "torch"]
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typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
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[[package]]
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name = "humanfriendly"
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version = "10.0"
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description = "Human friendly output for text interfaces using 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.*"
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files = [
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{file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
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{file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
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]
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[package.dependencies]
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pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
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[[package]]
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name = "idna"
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version = "3.8"
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@ -451,20 +582,54 @@ tests = ["pytest", "pytz", "simplejson"]
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[[package]]
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name = "milvus-lite"
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version = "2.4.9"
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version = "2.4.10"
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description = "A lightweight version of Milvus wrapped with Python."
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "milvus_lite-2.4.9-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:d3e617b3d68c09ad656d54bc3d8cc4ef6ef56c54015e1563d4fe4bcec6b7c90a"},
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{file = "milvus_lite-2.4.9-py3-none-macosx_11_0_arm64.whl", hash = "sha256:6e7029282d6829b277ebb92f64e2370be72b938e34770e1eb649346bda5d1d7f"},
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{file = "milvus_lite-2.4.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9b8e991e4e433596f6a399a165c1a506f823ec9133332e03d7f8a114bff4550d"},
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{file = "milvus_lite-2.4.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:7f53e674602101cfbcf0a4a59d19eaa139dfd5580639f3040ad73d901f24fc0b"},
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{file = "milvus_lite-2.4.10-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:fc4246d3ed7d1910847afce0c9ba18212e93a6e9b8406048436940578dfad5cb"},
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{file = "milvus_lite-2.4.10-py3-none-macosx_11_0_arm64.whl", hash = "sha256:74a8e07c5e3b057df17fbb46913388e84df1dc403a200f4e423799a58184c800"},
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{file = "milvus_lite-2.4.10-py3-none-manylinux2014_x86_64.whl", hash = "sha256:211d2e334a043f9282bdd9755f76b9b2d93b23bffa7af240919ffce6a8dfe325"},
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]
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[package.dependencies]
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tqdm = "*"
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[[package]]
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name = "milvus-model"
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version = "0.2.5"
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description = "Model components for PyMilvus, the Python SDK for Milvus"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "milvus_model-0.2.5-py3-none-any.whl", hash = "sha256:40668a69db737ad4768fa813e8c36d151b7ce51101600e3d5efd740918f919a8"},
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{file = "milvus_model-0.2.5.tar.gz", hash = "sha256:5d56d152bced0d2d3d9f79d3f2f5698b7202a07f9c61321e40dd55b51a8e905d"},
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]
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[package.dependencies]
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numpy = "*"
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onnxruntime = "*"
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protobuf = "*"
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scipy = ">=1.10.0"
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transformers = ">=4.36.0"
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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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optional = false
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python-versions = "*"
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files = [
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{file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
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{file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
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]
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[package.extras]
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develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
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docs = ["sphinx"]
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gmpy = ["gmpy2 (>=2.1.0a4)"]
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tests = ["pytest (>=4.6)"]
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[[package]]
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name = "mypy"
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version = "0.991"
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@ -563,6 +728,48 @@ files = [
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{file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"},
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]
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[[package]]
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name = "onnxruntime"
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version = "1.19.2"
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description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
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optional = false
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python-versions = "*"
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files = [
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{file = "onnxruntime-1.19.2-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:84fa57369c06cadd3c2a538ae2a26d76d583e7c34bdecd5769d71ca5c0fc750e"},
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{file = "onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdc471a66df0c1cdef774accef69e9f2ca168c851ab5e4f2f3341512c7ef4666"},
|
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{file = "onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e3a4ce906105d99ebbe817f536d50a91ed8a4d1592553f49b3c23c4be2560ae6"},
|
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{file = "onnxruntime-1.19.2-cp310-cp310-win32.whl", hash = "sha256:4b3d723cc154c8ddeb9f6d0a8c0d6243774c6b5930847cc83170bfe4678fafb3"},
|
||||
{file = "onnxruntime-1.19.2-cp310-cp310-win_amd64.whl", hash = "sha256:17ed7382d2c58d4b7354fb2b301ff30b9bf308a1c7eac9546449cd122d21cae5"},
|
||||
{file = "onnxruntime-1.19.2-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:d863e8acdc7232d705d49e41087e10b274c42f09e259016a46f32c34e06dc4fd"},
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{file = "onnxruntime-1.19.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c1dfe4f660a71b31caa81fc298a25f9612815215a47b286236e61d540350d7b6"},
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{file = "onnxruntime-1.19.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a36511dc07c5c964b916697e42e366fa43c48cdb3d3503578d78cef30417cb84"},
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{file = "onnxruntime-1.19.2-cp311-cp311-win32.whl", hash = "sha256:50cbb8dc69d6befad4746a69760e5b00cc3ff0a59c6c3fb27f8afa20e2cab7e7"},
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{file = "onnxruntime-1.19.2-cp311-cp311-win_amd64.whl", hash = "sha256:1c3e5d415b78337fa0b1b75291e9ea9fb2a4c1f148eb5811e7212fed02cfffa8"},
|
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{file = "onnxruntime-1.19.2-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:68e7051bef9cfefcbb858d2d2646536829894d72a4130c24019219442b1dd2ed"},
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{file = "onnxruntime-1.19.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d2d366fbcc205ce68a8a3bde2185fd15c604d9645888703785b61ef174265168"},
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||||
{file = "onnxruntime-1.19.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:477b93df4db467e9cbf34051662a4b27c18e131fa1836e05974eae0d6e4cf29b"},
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||||
]
|
||||
|
||||
[package.dependencies]
|
||||
coloredlogs = "*"
|
||||
flatbuffers = "*"
|
||||
numpy = ">=1.21.6"
|
||||
packaging = "*"
|
||||
protobuf = "*"
|
||||
sympy = "*"
|
||||
|
||||
[[package]]
|
||||
name = "orjson"
|
||||
version = "3.10.7"
|
||||
@ -677,8 +884,8 @@ files = [
|
||||
[package.dependencies]
|
||||
numpy = [
|
||||
{version = ">=1.20.3", markers = "python_version < \"3.10\""},
|
||||
{version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
|
||||
{version = ">=1.23.2", markers = "python_version >= \"3.11\""},
|
||||
{version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
|
||||
]
|
||||
python-dateutil = ">=2.8.2"
|
||||
pytz = ">=2020.1"
|
||||
@ -894,6 +1101,17 @@ bulk-writer = ["azure-storage-blob", "minio (>=7.0.0)", "pyarrow (>=12.0.0)", "r
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||||
dev = ["black", "grpcio (==1.62.2)", "grpcio-testing (==1.62.2)", "grpcio-tools (==1.62.2)", "pytest (>=5.3.4)", "pytest-cov (>=2.8.1)", "pytest-timeout (>=1.3.4)", "ruff (>0.4.0)"]
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||||
model = ["milvus-model (>=0.1.0)"]
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||||
|
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[[package]]
|
||||
name = "pyreadline3"
|
||||
version = "3.4.1"
|
||||
description = "A python implementation of GNU readline."
|
||||
optional = false
|
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python-versions = "*"
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files = [
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{file = "pyreadline3-3.4.1-py3-none-any.whl", hash = "sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb"},
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[[package]]
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name = "pytest"
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version = "7.4.4"
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@ -1067,6 +1285,94 @@ files = [
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{file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
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[[package]]
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name = "regex"
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version = "2024.7.24"
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description = "Alternative regular expression module, to replace re."
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optional = false
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python-versions = ">=3.8"
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[package.dependencies]
|
||||
huggingface-hub = ">=0.16.4,<1.0"
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||||
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||||
[package.extras]
|
||||
dev = ["tokenizers[testing]"]
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||||
docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
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||||
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
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||||
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||||
[[package]]
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||||
name = "tomli"
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||||
version = "2.0.1"
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||||
@ -1434,6 +2006,74 @@ notebook = ["ipywidgets (>=6)"]
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||||
slack = ["slack-sdk"]
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||||
telegram = ["requests"]
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||||
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||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.44.2"
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||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
||||
optional = false
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||||
python-versions = ">=3.8.0"
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[package.dependencies]
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||||
filelock = "*"
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||||
huggingface-hub = ">=0.23.2,<1.0"
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||||
numpy = ">=1.17"
|
||||
packaging = ">=20.0"
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||||
pyyaml = ">=5.1"
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||||
regex = "!=2019.12.17"
|
||||
requests = "*"
|
||||
safetensors = ">=0.4.1"
|
||||
tokenizers = ">=0.19,<0.20"
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||||
tqdm = ">=4.27"
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||||
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||||
[package.extras]
|
||||
accelerate = ["accelerate (>=0.21.0)"]
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||||
agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
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||||
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|
||||
audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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||||
benchmark = ["optimum-benchmark (>=0.2.0)"]
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||||
codecarbon = ["codecarbon (==1.2.0)"]
|
||||
deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
|
||||
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
ftfy = ["ftfy"]
|
||||
integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"]
|
||||
ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
|
||||
modelcreation = ["cookiecutter (==1.7.3)"]
|
||||
natten = ["natten (>=0.14.6,<0.15.0)"]
|
||||
onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
|
||||
onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
|
||||
optuna = ["optuna"]
|
||||
quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
|
||||
ray = ["ray[tune] (>=2.7.0)"]
|
||||
retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
|
||||
ruff = ["ruff (==0.5.1)"]
|
||||
sagemaker = ["sagemaker (>=2.31.0)"]
|
||||
sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
|
||||
serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
|
||||
sigopt = ["sigopt"]
|
||||
sklearn = ["scikit-learn"]
|
||||
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
timm = ["timm (<=0.9.16)"]
|
||||
tokenizers = ["tokenizers (>=0.19,<0.20)"]
|
||||
torch = ["accelerate (>=0.21.0)", "torch"]
|
||||
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
|
||||
video = ["av (==9.2.0)", "decord (==0.6.0)"]
|
||||
vision = ["Pillow (>=10.0.1,<=15.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "types-requests"
|
||||
version = "2.32.0.20240712"
|
||||
@ -1624,4 +2264,4 @@ watchmedo = ["PyYAML (>=3.10)"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
content-hash = "d6823046634939597b26f46d881270615741247d4927ac86cf18c71dca2ad969"
|
||||
content-hash = "57c924f905dc457de6cdbf189bc3773328b322592a4cda2087616e7297dcafb3"
|
||||
|
||||
@ -66,11 +66,13 @@ pytest-mock = "^3.10.0"
|
||||
syrupy = "^4.0.2"
|
||||
pytest-watcher = "^0.3.4"
|
||||
pytest-asyncio = "^0.21.1"
|
||||
milvus_model = "^0.2.0"
|
||||
|
||||
[tool.poetry.group.codespell.dependencies]
|
||||
codespell = "^2.2.0"
|
||||
|
||||
[tool.poetry.group.test_integration.dependencies]
|
||||
milvus_model = "^0.2.0"
|
||||
|
||||
[tool.poetry.group.lint.dependencies]
|
||||
ruff = "^0.1.5"
|
||||
|
||||
@ -120,7 +120,7 @@ def test_milvus_max_marginal_relevance_search() -> None:
|
||||
output,
|
||||
[
|
||||
Document(page_content="foo", metadata={"page": 0}),
|
||||
Document(page_content="baz", metadata={"page": 2}),
|
||||
Document(page_content="bar", metadata={"page": 1}),
|
||||
],
|
||||
)
|
||||
|
||||
@ -135,7 +135,7 @@ def test_milvus_max_marginal_relevance_search_with_dynamic_field() -> None:
|
||||
output,
|
||||
[
|
||||
Document(page_content="foo", metadata={"page": 0}),
|
||||
Document(page_content="baz", metadata={"page": 2}),
|
||||
Document(page_content="bar", metadata={"page": 1}),
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user