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multi-arch-build (#2571)
### What problem does this PR solve? Build multi-arch docker image `infiniflow/ragflow:poetry` on `linux/amd64` and `linux/arm64`. ### Type of change - [x] Refactoring
This commit is contained in:
Zhichang Yu
GitHub
parent
08d5637770
commit
e3b3ec3f79
@ -33,7 +33,7 @@ USER root
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WORKDIR /ragflow
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RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
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apt update && apt install -y nodejs npm && \
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apt update && apt install -y nodejs npm cargo && \
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rm -rf /var/lib/apt/lists/*
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COPY web web
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@ -42,7 +42,7 @@ RUN cd web && npm i --force && npm run build
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# install dependencies from poetry.lock file
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COPY pyproject.toml poetry.toml poetry.lock ./
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RUN --mount=type=cache,target=/root/.cache/pypoetry,sharing=locked \
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/root/.local/bin/poetry install --sync --no-cache --no-root
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/root/.local/bin/poetry install --sync --no-root
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# production stage
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FROM base AS production
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@ -30,7 +30,8 @@ services:
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restart: always
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mysql:
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image: mysql:5.7.18
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# mysql:5.7 linux/arm64 image is unavailable.
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image: mysql:8.0.39
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container_name: ragflow-mysql
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environment:
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- MYSQL_ROOT_PASSWORD=${MYSQL_PASSWORD}
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449
poetry.lock
generated
449
poetry.lock
generated
@ -2,34 +2,34 @@
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[[package]]
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name = "accelerate"
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version = "0.32.1"
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version = "0.34.2"
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description = "Accelerate"
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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 = "accelerate-0.32.1-py3-none-any.whl", hash = "sha256:71fcf4be00872194071de561634268b71417d7f5b16b178e2fa76b6f117c52b0"},
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{file = "accelerate-0.32.1.tar.gz", hash = "sha256:3999acff0237cd0d4f9fd98b42d5a3163544777b53fc4f1eec886b77e992d177"},
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{file = "accelerate-0.34.2-py3-none-any.whl", hash = "sha256:d69159e2c4e4a473d14443b27d2d732929254e826b3ab4813b3785b5ac616c7c"},
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{file = "accelerate-0.34.2.tar.gz", hash = "sha256:98c1ebe1f5a45c0a3af02dc60b5bb8b7d58d60c3326a326a06ce6d956b18ca5b"},
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]
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[package.dependencies]
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huggingface-hub = "*"
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numpy = ">=1.17,<2.0.0"
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huggingface-hub = ">=0.21.0"
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numpy = ">=1.17,<3.0.0"
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packaging = ">=20.0"
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psutil = "*"
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pyyaml = "*"
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safetensors = ">=0.3.1"
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safetensors = ">=0.4.3"
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torch = ">=1.10.0"
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[package.extras]
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deepspeed = ["deepspeed (<=0.14.0)"]
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dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
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deepspeed = ["deepspeed"]
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dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
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quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
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rich = ["rich"]
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sagemaker = ["sagemaker"]
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test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
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test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
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test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
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test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
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testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
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testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
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[package.source]
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type = "legacy"
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@ -221,13 +221,13 @@ reference = "tsinghua"
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[[package]]
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name = "akshare"
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version = "1.14.72"
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version = "1.14.81"
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description = "AKShare is an elegant and simple financial data interface library for Python, built for human beings!"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "akshare-1.14.72-py3-none-any.whl", hash = "sha256:f857537efa5acaf96a4aa0c058b9d6aec40523223a8af4b01f63035d88078ec5"},
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{file = "akshare-1.14.72.tar.gz", hash = "sha256:a3d82e3236fe678d7999cb92e659eff3ec3644aacf5c0918ca832201b7ce61d8"},
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{file = "akshare-1.14.81-py3-none-any.whl", hash = "sha256:22619c5e7aea7b0d87d241b117d5ccb0be8e3d4a040956d9feeeda78572186ad"},
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{file = "akshare-1.14.81.tar.gz", hash = "sha256:33ec79f0dd38a4afb80d029ba942d8f065d1ec55917309429cbd8ce7ec9e0fe5"},
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]
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[package.dependencies]
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@ -320,13 +320,13 @@ reference = "tsinghua"
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[[package]]
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name = "anyio"
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version = "4.4.0"
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version = "4.6.0"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
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optional = false
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python-versions = ">=3.8"
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python-versions = ">=3.9"
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files = [
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{file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
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{file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
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{file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
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{file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
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]
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[package.dependencies]
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@ -334,9 +334,9 @@ idna = ">=2.8"
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sniffio = ">=1.1"
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[package.extras]
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doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
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test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
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trio = ["trio (>=0.23)"]
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doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
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test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
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trio = ["trio (>=0.26.1)"]
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[package.source]
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type = "legacy"
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@ -491,16 +491,16 @@ reference = "tsinghua"
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[[package]]
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name = "aspose-slides"
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version = "24.8.0"
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version = "24.9.0"
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description = "Aspose.Slides for Python via .NET is a presentation file formats processing library for working with Microsoft PowerPoint files without using Microsoft PowerPoint."
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optional = false
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python-versions = ">=3.5,<3.13"
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files = [
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{file = "Aspose.Slides-24.8.0-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:377d69c95f0a4a3bdbdd6a2af42a441e0b138b9470058f88212a94335a99e5a6"},
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{file = "Aspose.Slides-24.8.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eb1b45f0434fa1bd65b37b1fce781d7186c7cba9ce38460448ae05b9c290dd29"},
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{file = "Aspose.Slides-24.8.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:9fbe9e29cc2ddd9a57782b99f9355921c484ed105afcdaf68512844cf129ccf3"},
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{file = "Aspose.Slides-24.8.0-py3-none-win32.whl", hash = "sha256:3e8eeda8ec25fd3596739b1069f1093e2e1797872f10b49afda98724b902faa2"},
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{file = "Aspose.Slides-24.8.0-py3-none-win_amd64.whl", hash = "sha256:02932a3a14075878a5a10cc29ac6edb8acbe019b9eabf19bee6ea2fb5caed882"},
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{file = "Aspose.Slides-24.9.0-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:b822b1bcfb76dab02c7fedd997af68782429bf68c3a5a2e643748c429c0d21dd"},
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{file = "Aspose.Slides-24.9.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:cb6673a6548dc1a60edd9480dab342a408a0568f960dc28d032f515e44846d92"},
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{file = "Aspose.Slides-24.9.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:4525f39cef37d7a1411f67dfa02b8b08790f3f2ab286463bd88a848a8f062976"},
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{file = "Aspose.Slides-24.9.0-py3-none-win32.whl", hash = "sha256:e8cad809ec2a5fee6c60e67c87eb13e533d1e9126e9be844db569f6fa97eb9b0"},
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{file = "Aspose.Slides-24.9.0-py3-none-win_amd64.whl", hash = "sha256:68f29bff70fae24edc0cf19a9aff469982a85c4e808edd9eecd4c08c25b4de80"},
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]
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[package.source]
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@ -1682,47 +1682,45 @@ reference = "tsinghua"
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[[package]]
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name = "datasets"
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version = "2.18.0"
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version = "3.0.0"
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description = "HuggingFace community-driven open-source library of datasets"
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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 = "datasets-2.18.0-py3-none-any.whl", hash = "sha256:f1bbf0e2896917a914de01cbd37075b14deea3837af87ad0d9f697388ccaeb50"},
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{file = "datasets-2.18.0.tar.gz", hash = "sha256:cdf8b8c6abf7316377ba4f49f9589a4c74556d6b481afd0abd2284f3d69185cb"},
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{file = "datasets-3.0.0-py3-none-any.whl", hash = "sha256:c23fefb6c953dcb1cd5f6deb6c502729c733ef98791e0c3f2d80c7ca2d9a01dd"},
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{file = "datasets-3.0.0.tar.gz", hash = "sha256:592317eb137f0fc5aac068ff283ba13c3c66d10c9c034d44bc8aa584126cf3e2"},
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]
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[package.dependencies]
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aiohttp = "*"
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dill = ">=0.3.0,<0.3.9"
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filelock = "*"
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fsspec = {version = ">=2023.1.0,<=2024.2.0", extras = ["http"]}
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huggingface-hub = ">=0.19.4"
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fsspec = {version = ">=2023.1.0,<=2024.6.1", extras = ["http"]}
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huggingface-hub = ">=0.22.0"
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multiprocess = "*"
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numpy = ">=1.17"
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packaging = "*"
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pandas = "*"
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pyarrow = ">=12.0.0"
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pyarrow-hotfix = "*"
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pyarrow = ">=15.0.0"
|
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pyyaml = ">=5.1"
|
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requests = ">=2.19.0"
|
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tqdm = ">=4.62.1"
|
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requests = ">=2.32.2"
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tqdm = ">=4.66.3"
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xxhash = "*"
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|
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[package.extras]
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apache-beam = ["apache-beam (>=2.26.0)"]
|
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audio = ["librosa", "soundfile (>=0.12.1)"]
|
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audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"]
|
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benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
|
||||
dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
|
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docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
|
||||
dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "transformers (>=4.42.0)", "zstandard"]
|
||||
docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"]
|
||||
jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
|
||||
metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
|
||||
quality = ["ruff (>=0.3.0)"]
|
||||
s3 = ["s3fs"]
|
||||
tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
|
||||
tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
|
||||
tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
|
||||
tensorflow = ["tensorflow (>=2.6.0)"]
|
||||
tensorflow-gpu = ["tensorflow (>=2.6.0)"]
|
||||
tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "transformers (>=4.42.0)", "zstandard"]
|
||||
tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "transformers (>=4.42.0)", "zstandard"]
|
||||
torch = ["torch"]
|
||||
vision = ["Pillow (>=6.2.1)"]
|
||||
vision = ["Pillow (>=9.4.0)"]
|
||||
|
||||
[package.source]
|
||||
type = "legacy"
|
||||
@ -2496,53 +2494,59 @@ reference = "tsinghua"
|
||||
|
||||
[[package]]
|
||||
name = "fonttools"
|
||||
version = "4.53.1"
|
||||
version = "4.54.0"
|
||||
description = "Tools to manipulate font files"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
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|
||||
{file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
|
||||
{file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"},
|
||||
{file = "fsspec-2024.6.1-py3-none-any.whl", hash = "sha256:3cb443f8bcd2efb31295a5b9fdb02aee81d8452c80d28f97a6d0959e6cee101e"},
|
||||
{file = "fsspec-2024.6.1.tar.gz", hash = "sha256:fad7d7e209dd4c1208e3bbfda706620e0da5142bebbd9c384afb95b07e798e49"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2693,7 +2697,8 @@ abfs = ["adlfs"]
|
||||
adl = ["adlfs"]
|
||||
arrow = ["pyarrow (>=1)"]
|
||||
dask = ["dask", "distributed"]
|
||||
devel = ["pytest", "pytest-cov"]
|
||||
dev = ["pre-commit", "ruff"]
|
||||
doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
|
||||
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
|
||||
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"]
|
||||
fuse = ["fusepy"]
|
||||
@ -2710,6 +2715,9 @@ s3 = ["s3fs"]
|
||||
sftp = ["paramiko"]
|
||||
smb = ["smbprotocol"]
|
||||
ssh = ["paramiko"]
|
||||
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"]
|
||||
test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
|
||||
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"]
|
||||
tqdm = ["tqdm"]
|
||||
|
||||
[package.source]
|
||||
@ -2827,13 +2835,13 @@ reference = "tsinghua"
|
||||
|
||||
[[package]]
|
||||
name = "google-api-core"
|
||||
version = "2.19.2"
|
||||
version = "2.20.0"
|
||||
description = "Google API client core library"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "google_api_core-2.19.2-py3-none-any.whl", hash = "sha256:53ec0258f2837dd53bbd3d3df50f5359281b3cc13f800c941dd15a9b5a415af4"},
|
||||
{file = "google_api_core-2.19.2.tar.gz", hash = "sha256:ca07de7e8aa1c98a8bfca9321890ad2340ef7f2eb136e558cee68f24b94b0a8f"},
|
||||
{file = "google_api_core-2.20.0-py3-none-any.whl", hash = "sha256:ef0591ef03c30bb83f79b3d0575c3f31219001fc9c5cf37024d08310aeffed8a"},
|
||||
{file = "google_api_core-2.20.0.tar.gz", hash = "sha256:f74dff1889ba291a4b76c5079df0711810e2d9da81abfdc99957bc961c1eb28f"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2880,13 +2888,13 @@ reference = "tsinghua"
|
||||
|
||||
[[package]]
|
||||
name = "google-auth"
|
||||
version = "2.34.0"
|
||||
version = "2.35.0"
|
||||
description = "Google Authentication Library"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "google_auth-2.34.0-py2.py3-none-any.whl", hash = "sha256:72fd4733b80b6d777dcde515628a9eb4a577339437012874ea286bca7261ee65"},
|
||||
{file = "google_auth-2.34.0.tar.gz", hash = "sha256:8eb87396435c19b20d32abd2f984e31c191a15284af72eb922f10e5bde9c04cc"},
|
||||
{file = "google_auth-2.35.0-py2.py3-none-any.whl", hash = "sha256:25df55f327ef021de8be50bad0dfd4a916ad0de96da86cd05661c9297723ad3f"},
|
||||
{file = "google_auth-2.35.0.tar.gz", hash = "sha256:f4c64ed4e01e8e8b646ef34c018f8bf3338df0c8e37d8b3bba40e7f574a3278a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -3663,13 +3671,13 @@ reference = "tsinghua"
|
||||
|
||||
[[package]]
|
||||
name = "huggingface-hub"
|
||||
version = "0.25.0"
|
||||
version = "0.25.1"
|
||||
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "huggingface_hub-0.25.0-py3-none-any.whl", hash = "sha256:e2f357b35d72d5012cfd127108c4e14abcd61ba4ebc90a5a374dc2456cb34e12"},
|
||||
{file = "huggingface_hub-0.25.0.tar.gz", hash = "sha256:fb5fbe6c12fcd99d187ec7db95db9110fb1a20505f23040a5449a717c1a0db4d"},
|
||||
{file = "huggingface_hub-0.25.1-py3-none-any.whl", hash = "sha256:a5158ded931b3188f54ea9028097312cb0acd50bffaaa2612014c3c526b44972"},
|
||||
{file = "huggingface_hub-0.25.1.tar.gz", hash = "sha256:9ff7cb327343211fbd06e2b149b8f362fd1e389454f3f14c6db75a4999ee20ff"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -5768,21 +5776,21 @@ reference = "tsinghua"
|
||||
|
||||
[[package]]
|
||||
name = "onnxruntime-gpu"
|
||||
version = "1.17.1"
|
||||
version = "1.19.2"
|
||||
description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "onnxruntime_gpu-1.17.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a55fe84ee11a59ea069c6a790ee960f1c7da0d7d6c74822b2a8b357027c93646"},
|
||||
{file = "onnxruntime_gpu-1.17.1-cp310-cp310-win_amd64.whl", hash = "sha256:a9abefceb32879cbee9f57977d6bb8d58cbac501f8a64bf96bca2f4fdff157fe"},
|
||||
{file = "onnxruntime_gpu-1.17.1-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:b2cd54f2b0a05e6bc9ab30182b859364d30115a19c31be24aa2edef40be00277"},
|
||||
{file = "onnxruntime_gpu-1.17.1-cp311-cp311-win_amd64.whl", hash = "sha256:bdffcced8a5f6275c0df202220e9232138b336f868cd671c9d2c571e834d2a80"},
|
||||
{file = "onnxruntime_gpu-1.17.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:a1c871e8d0ae4121ea6528fc9410a5a7cbc5e43714b30521d5514fd10b987c83"},
|
||||
{file = "onnxruntime_gpu-1.17.1-cp312-cp312-win_amd64.whl", hash = "sha256:9a0a94eda080e9f4a8e5035fdf0b3c24f5533e7861d88833a94493e63fca0812"},
|
||||
{file = "onnxruntime_gpu-1.17.1-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:624fdb65a632833f13de36854855818680be4f77942d8114524491d58f60d3ab"},
|
||||
{file = "onnxruntime_gpu-1.17.1-cp38-cp38-win_amd64.whl", hash = "sha256:29fa78d232bbb5a5be3a3e0a022148a7b3df2ca66b4c21a11eef56e6f22859e9"},
|
||||
{file = "onnxruntime_gpu-1.17.1-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b0f8c70f2f9aeae825f3a397cc0c5f45124f9ae7c173263cf13c495982b0b99a"},
|
||||
{file = "onnxruntime_gpu-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:b1a27a104334461b690e4fc62775e1e71c68936399874932225d7fea21a0c261"},
|
||||
{file = "onnxruntime_gpu-1.19.2-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a49740e079e7c5215830d30cde3df792e903df007aa0b0fd7aa797937061b27a"},
|
||||
{file = "onnxruntime_gpu-1.19.2-cp310-cp310-win_amd64.whl", hash = "sha256:b895920bb5e4241299f68874e0becdc2635ea0142939c11e7ff5ae5b28993613"},
|
||||
{file = "onnxruntime_gpu-1.19.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:562fc7c755393eaad9751e56149339dd201ffbfdb3ef5f43ff21d0619ba9045f"},
|
||||
{file = "onnxruntime_gpu-1.19.2-cp311-cp311-win_amd64.whl", hash = "sha256:522f7495918176cb8c1a3c78bde7152d984f7096acc786c73a27643af8af87c9"},
|
||||
{file = "onnxruntime_gpu-1.19.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:554a02a3fac0119707eb87327908afd21c4e6f0fa5bf9a034398f098adc316c5"},
|
||||
{file = "onnxruntime_gpu-1.19.2-cp312-cp312-win_amd64.whl", hash = "sha256:e7c6165a405027e3c0f11d189ae7013b5d66919b3381f9bfb3405c0c0cf07968"},
|
||||
{file = "onnxruntime_gpu-1.19.2-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b4a8562e1e6f1912870c60bfaf8233c82b86e5b93ae39f211b650ac0f2015430"},
|
||||
{file = "onnxruntime_gpu-1.19.2-cp38-cp38-win_amd64.whl", hash = "sha256:55505c99e18688a7c68fdc811ed6e7a315aa36f543b33920c77d03a627d2c3f5"},
|
||||
{file = "onnxruntime_gpu-1.19.2-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c9e369f01f55ea726ae5d28f18236426e52e97c433f0b7682054e61c478a06c9"},
|
||||
{file = "onnxruntime_gpu-1.19.2-cp39-cp39-win_amd64.whl", hash = "sha256:c8b8128174b0470537e9f4983aeecc002a435d13914970c2af2f41d244ef2781"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -6759,22 +6767,6 @@ type = "legacy"
|
||||
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
|
||||
reference = "tsinghua"
|
||||
|
||||
[[package]]
|
||||
name = "pyarrow-hotfix"
|
||||
version = "0.6"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
files = [
|
||||
{file = "pyarrow_hotfix-0.6-py3-none-any.whl", hash = "sha256:dcc9ae2d220dff0083be6a9aa8e0cdee5182ad358d4931fce825c545e5c89178"},
|
||||
{file = "pyarrow_hotfix-0.6.tar.gz", hash = "sha256:79d3e030f7ff890d408a100ac16d6f00b14d44a502d7897cd9fc3e3a534e9945"},
|
||||
]
|
||||
|
||||
[package.source]
|
||||
type = "legacy"
|
||||
url = "https://pypi.tuna.tsinghua.edu.cn/simple"
|
||||
reference = "tsinghua"
|
||||
|
||||
[[package]]
|
||||
name = "pyasn1"
|
||||
version = "0.6.1"
|
||||
@ -8460,18 +8452,17 @@ reference = "tsinghua"
|
||||
|
||||
[[package]]
|
||||
name = "sentence-transformers"
|
||||
version = "3.1.0"
|
||||
description = "Multilingual text embeddings"
|
||||
version = "3.1.1"
|
||||
description = "State-of-the-Art Text Embeddings"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "sentence_transformers-3.1.0-py3-none-any.whl", hash = "sha256:94ff19c478ada7340ee8bd5ed46db1e322f8c98a16b04a337634956ac9d4530d"},
|
||||
{file = "sentence_transformers-3.1.0.tar.gz", hash = "sha256:5e5b7bd84c634c11cb127b840ff96215a456de2dc9c5ecf97ecfa67002b1116f"},
|
||||
{file = "sentence_transformers-3.1.1-py3-none-any.whl", hash = "sha256:c73bf6f17e3676bb9372a6133a254ebfb5907586b470f2bac5a840c64c3cf97e"},
|
||||
{file = "sentence_transformers-3.1.1.tar.gz", hash = "sha256:8f00020ef4ad6b918475c38af545c22f61403b67eb22d994860bab06902db160"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
huggingface-hub = ">=0.19.3"
|
||||
numpy = "<2.0.0"
|
||||
Pillow = "*"
|
||||
scikit-learn = "*"
|
||||
scipy = "*"
|
||||
@ -9604,13 +9595,13 @@ reference = "tsinghua"
|
||||
|
||||
[[package]]
|
||||
name = "tzdata"
|
||||
version = "2024.1"
|
||||
version = "2024.2"
|
||||
description = "Provider of IANA time zone data"
|
||||
optional = false
|
||||
python-versions = ">=2"
|
||||
files = [
|
||||
{file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
|
||||
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
|
||||
{file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
|
||||
{file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
|
||||
]
|
||||
|
||||
[package.source]
|
||||
@ -10325,103 +10316,103 @@ reference = "tsinghua"
|
||||
|
||||
[[package]]
|
||||
name = "yarl"
|
||||
version = "1.11.1"
|
||||
version = "1.12.1"
|
||||
description = "Yet another URL library"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "yarl-1.11.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:400cd42185f92de559d29eeb529e71d80dfbd2f45c36844914a4a34297ca6f00"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8258c86f47e080a258993eed877d579c71da7bda26af86ce6c2d2d072c11320d"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2164cd9725092761fed26f299e3f276bb4b537ca58e6ff6b252eae9631b5c96e"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08ea567c16f140af8ddc7cb58e27e9138a1386e3e6e53982abaa6f2377b38cc"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:768ecc550096b028754ea28bf90fde071c379c62c43afa574edc6f33ee5daaec"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2909fa3a7d249ef64eeb2faa04b7957e34fefb6ec9966506312349ed8a7e77bf"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01a8697ec24f17c349c4f655763c4db70eebc56a5f82995e5e26e837c6eb0e49"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e286580b6511aac7c3268a78cdb861ec739d3e5a2a53b4809faef6b49778eaff"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4179522dc0305c3fc9782549175c8e8849252fefeb077c92a73889ccbcd508ad"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:27fcb271a41b746bd0e2a92182df507e1c204759f460ff784ca614e12dd85145"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:f61db3b7e870914dbd9434b560075e0366771eecbe6d2b5561f5bc7485f39efd"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:c92261eb2ad367629dc437536463dc934030c9e7caca861cc51990fe6c565f26"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:d95b52fbef190ca87d8c42f49e314eace4fc52070f3dfa5f87a6594b0c1c6e46"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-win32.whl", hash = "sha256:489fa8bde4f1244ad6c5f6d11bb33e09cf0d1d0367edb197619c3e3fc06f3d91"},
|
||||
{file = "yarl-1.11.1-cp310-cp310-win_amd64.whl", hash = "sha256:476e20c433b356e16e9a141449f25161e6b69984fb4cdbd7cd4bd54c17844998"},
|
||||
{file = "yarl-1.11.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:946eedc12895873891aaceb39bceb484b4977f70373e0122da483f6c38faaa68"},
|
||||
{file = "yarl-1.11.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:21a7c12321436b066c11ec19c7e3cb9aec18884fe0d5b25d03d756a9e654edfe"},
|
||||
{file = "yarl-1.11.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c35f493b867912f6fda721a59cc7c4766d382040bdf1ddaeeaa7fa4d072f4675"},
|
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{file = "yarl-1.12.1-cp313-cp313-win32.whl", hash = "sha256:24416bb5e221e29ddf8aac5b97e94e635ca2c5be44a1617ad6fe32556df44294"},
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{file = "yarl-1.12.1-cp313-cp313-win_amd64.whl", hash = "sha256:71af3766bb46738d12cc288d9b8de7ef6f79c31fd62757e2b8a505fe3680b27f"},
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{file = "yarl-1.12.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c924deab8105f86980983eced740433fb7554a7f66db73991affa4eda99d5402"},
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{file = "yarl-1.12.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5fb475a4cdde582c9528bb412b98f899680492daaba318231e96f1a0a1bb0d53"},
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{file = "yarl-1.12.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2631c9d7386bd2d4ce24ecc6ebf9ae90b3efd713d588d90504eaa77fec4dba01"},
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{file = "yarl-1.12.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfdf419bf5d3644f94cd7052954fc233522f5a1b371fc0b00219ebd9c14d5798"},
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{file = "yarl-1.12.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8112f640a4f7e7bf59f7cabf0d47a29b8977528c521d73a64d5cc9e99e48a174"},
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{file = "yarl-1.12.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:607d12f0901f6419a8adceb139847c42c83864b85371f58270e42753f9780fa6"},
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||||
{file = "yarl-1.12.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:22839d1d1eab9e4b427828a88a22beb86f67c14d8ff81175505f1cc8493f3500"},
|
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{file = "yarl-1.12.1-cp38-cp38-win32.whl", hash = "sha256:717f185086bb9d817d4537dd18d5df5d657598cd00e6fc22e4d54d84de266c1d"},
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{file = "yarl-1.12.1-cp38-cp38-win_amd64.whl", hash = "sha256:71978ba778948760cff528235c951ea0ef7a4f9c84ac5a49975f8540f76c3f73"},
|
||||
{file = "yarl-1.12.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:30ffc046ebddccb3c4cac72c1a3e1bc343492336f3ca86d24672e90ccc5e788a"},
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{file = "yarl-1.12.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f10954b233d4df5cc3137ffa5ced97f8894152df817e5d149bf05a0ef2ab8134"},
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{file = "yarl-1.12.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2e912b282466444023610e4498e3795c10e7cfd641744524876239fcf01d538d"},
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{file = "yarl-1.12.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6af871f70cfd5b528bd322c65793b5fd5659858cdfaa35fbe563fb99b667ed1f"},
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{file = "yarl-1.12.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c3e4e1f7b08d1ec6b685ccd3e2d762219c550164fbf524498532e39f9413436e"},
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{file = "yarl-1.12.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9a7ee79183f0b17dcede8b6723e7da2ded529cf159a878214be9a5d3098f5b1e"},
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{file = "yarl-1.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:96c8ff1e1dd680e38af0887927cab407a4e51d84a5f02ae3d6eb87233036c763"},
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{file = "yarl-1.12.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7e9905fc2dc1319e4c39837b906a024cf71b1261cc66b0cd89678f779c0c61f5"},
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|
||||
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||||
{file = "yarl-1.12.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:15871130439ad10abb25a4631120d60391aa762b85fcab971411e556247210a0"},
|
||||
{file = "yarl-1.12.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:838dde2cb570cfbb4cab8a876a0974e8b90973ea40b3ac27a79b8a74c8a2db15"},
|
||||
{file = "yarl-1.12.1-cp39-cp39-win32.whl", hash = "sha256:eacbcf30efaca7dc5cb264228ffecdb95fdb1e715b1ec937c0ce6b734161e0c8"},
|
||||
{file = "yarl-1.12.1-cp39-cp39-win_amd64.whl", hash = "sha256:76a59d1b63de859398bc7764c860a769499511463c1232155061fe0147f13e01"},
|
||||
{file = "yarl-1.12.1-py3-none-any.whl", hash = "sha256:dc3192a81ecd5ff954cecd690327badd5a84d00b877e1573f7c9097ce13e5bfb"},
|
||||
{file = "yarl-1.12.1.tar.gz", hash = "sha256:5b860055199aec8d6fe4dcee3c5196ce506ca198a50aab0059ffd26e8e815828"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -10525,4 +10516,4 @@ reference = "tsinghua"
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.12,<3.13"
|
||||
content-hash = "e746052cc46f2fd3647fca55b5b879b051377bfcdf13e4ed72aadac4a9065580"
|
||||
content-hash = "4839cfab1c9f05e86f9ae54ed00980e46957e992199d3fee46e026563cdf7606"
|
||||
|
||||
@ -10,13 +10,13 @@ package-mode = false
|
||||
[tool.poetry.dependencies]
|
||||
python = ">=3.12,<3.13"
|
||||
datrie = "0.8.2"
|
||||
akshare = "1.14.72"
|
||||
akshare = "^1.14.81"
|
||||
azure-storage-blob = "12.22.0"
|
||||
azure-identity = "1.17.1"
|
||||
azure-storage-file-datalake = "12.16.0"
|
||||
anthropic = "=0.34.1"
|
||||
arxiv = "2.1.3"
|
||||
aspose-slides = "24.8.0"
|
||||
aspose-slides = { version = "^24.9.0", markers = "platform_machine == 'x86_64'" }
|
||||
bcembedding = "0.1.3"
|
||||
bio = "1.7.1"
|
||||
boto3 = "1.34.140"
|
||||
@ -58,7 +58,7 @@ nltk = "3.9.1"
|
||||
numpy = "1.26.4"
|
||||
ollama = "0.2.1"
|
||||
onnxruntime = "1.17.3"
|
||||
onnxruntime-gpu = "1.17.1"
|
||||
onnxruntime-gpu = { version = "^1.17.1", markers = "platform_machine == 'x86_64'" }
|
||||
openai = "1.12.0"
|
||||
opencv-python = "4.9.0.80"
|
||||
opencv-python-headless = "4.9.0.80"
|
||||
@ -117,7 +117,7 @@ python-docx = "^1.1.2"
|
||||
pypdf2 = "^3.0.1"
|
||||
graspologic = "^3.4.1"
|
||||
pymysql = "^1.1.1"
|
||||
|
||||
mini-racer = "^0.12.4"
|
||||
|
||||
[[tool.poetry.source]]
|
||||
name = "tsinghua"
|
||||
|
||||
105
requirements.txt
105
requirements.txt
@ -1,105 +0,0 @@
|
||||
akshare==1.14.72
|
||||
azure-storage-blob==12.22.0
|
||||
azure-identity==1.17.1
|
||||
azure-storage-file-datalake==12.16.0
|
||||
anthropic===0.34.1
|
||||
arxiv==2.1.3
|
||||
Aspose.Slides==24.8.0
|
||||
BCEmbedding==0.1.3
|
||||
Bio==1.7.1
|
||||
boto3==1.34.140
|
||||
botocore==1.34.140
|
||||
cachetools==5.3.3
|
||||
chardet==5.2.0
|
||||
cn2an==0.5.22
|
||||
cohere==5.6.2
|
||||
dashscope==1.14.1
|
||||
datrie==0.8.2
|
||||
deepl==1.18.0
|
||||
demjson3==3.0.6
|
||||
discord.py==2.3.2
|
||||
duckduckgo_search==6.1.9
|
||||
editdistance==0.8.1
|
||||
elastic_transport==8.12.0
|
||||
elasticsearch==8.12.1
|
||||
elasticsearch_dsl==8.12.0
|
||||
fastembed==0.2.6
|
||||
fasttext==0.9.3
|
||||
filelock==3.15.4
|
||||
FlagEmbedding==1.2.10
|
||||
Flask==3.0.3
|
||||
Flask_Cors==5.0.0
|
||||
Flask_Login==0.6.3
|
||||
flask_session==0.8.0
|
||||
google_search_results==2.4.2
|
||||
groq==0.9.0
|
||||
hanziconv==0.3.2
|
||||
html_text==0.6.2
|
||||
httpx==0.27.0
|
||||
huggingface_hub==0.20.3
|
||||
infinity_emb==0.0.51
|
||||
itsdangerous==2.1.2
|
||||
Markdown==3.6
|
||||
markdown_to_json==2.1.1
|
||||
minio==7.2.4
|
||||
mistralai==0.4.2
|
||||
nltk==3.9.1
|
||||
numpy==1.26.4
|
||||
ollama==0.2.1
|
||||
onnxruntime==1.17.3
|
||||
onnxruntime_gpu==1.17.1
|
||||
openai==1.12.0
|
||||
opencv_python==4.9.0.80
|
||||
opencv_python_headless==4.9.0.80
|
||||
openpyxl==3.1.2
|
||||
ormsgpack==1.5.0
|
||||
pandas==2.2.2
|
||||
pdfplumber==0.10.4
|
||||
peewee==3.17.1
|
||||
Pillow==10.3.0
|
||||
protobuf==5.27.2
|
||||
psycopg2-binary==2.9.9
|
||||
pyclipper==1.3.0.post5
|
||||
pycryptodomex==3.20.0
|
||||
pypdf==4.3.0
|
||||
PyPDF2==3.0.1
|
||||
pytest==8.2.2
|
||||
python-dotenv==1.0.1
|
||||
python_dateutil==2.8.2
|
||||
python_pptx==0.6.23
|
||||
pywencai==0.12.2
|
||||
qianfan==0.4.6
|
||||
ranx==0.3.20
|
||||
readability_lxml==0.8.1
|
||||
redis==5.0.3
|
||||
Requests==2.32.2
|
||||
replicate==0.31.0
|
||||
roman_numbers==1.0.2
|
||||
ruamel.base==1.0.0
|
||||
scholarly==1.7.11
|
||||
scikit_learn==1.5.0
|
||||
selenium==4.22.0
|
||||
setuptools==70.0.0
|
||||
Shapely==2.0.5
|
||||
six==1.16.0
|
||||
StrEnum==0.4.15
|
||||
tabulate==0.9.0
|
||||
tencentcloud-sdk-python==3.0.1215
|
||||
tika==2.6.0
|
||||
tiktoken==0.6.0
|
||||
torch==2.3.0
|
||||
transformers==4.38.1
|
||||
umap==0.1.1
|
||||
vertexai==1.64.0
|
||||
volcengine==1.0.146
|
||||
voyageai==0.2.3
|
||||
webdriver_manager==4.0.1
|
||||
websocket==0.2.1
|
||||
websocket-client==1.8.0
|
||||
Werkzeug==3.0.3
|
||||
wikipedia==1.4.0
|
||||
word2number==1.1
|
||||
xgboost==2.1.0
|
||||
xpinyin==0.7.6
|
||||
yfinance==0.1.96
|
||||
zhipuai==2.0.1
|
||||
@ -1,175 +0,0 @@
|
||||
accelerate==0.27.2
|
||||
aiohttp==3.10.2
|
||||
aiosignal==1.3.1
|
||||
annotated-types==0.6.0
|
||||
anthropic===0.34.1
|
||||
anyio==4.3.0
|
||||
argon2-cffi==23.1.0
|
||||
argon2-cffi-bindings==21.2.0
|
||||
#Aspose.Slides==24.2.0
|
||||
attrs==23.2.0
|
||||
blinker==1.7.0
|
||||
cachelib==0.12.0
|
||||
cachetools==5.3.3
|
||||
certifi==2024.7.4
|
||||
cffi==1.16.0
|
||||
charset-normalizer==3.3.2
|
||||
click==8.1.7
|
||||
cohere==5.6.2
|
||||
coloredlogs==15.0.1
|
||||
cryptography==43.0.1
|
||||
dashscope==1.14.1
|
||||
datasets==2.17.1
|
||||
datrie==0.8.2
|
||||
demjson3==3.0.6
|
||||
dill==0.3.8
|
||||
distro==1.9.0
|
||||
elastic-transport==8.12.0
|
||||
elasticsearch==8.12.1
|
||||
elasticsearch-dsl==8.12.0
|
||||
et-xmlfile==1.1.0
|
||||
filelock==3.13.1
|
||||
fastembed==0.2.6
|
||||
FlagEmbedding==1.2.5
|
||||
Flask==3.0.2
|
||||
Flask-Cors==5.0.0
|
||||
Flask-Login==0.6.3
|
||||
Flask-Session==0.6.0
|
||||
flatbuffers==23.5.26
|
||||
frozenlist==1.4.1
|
||||
fsspec==2023.10.0
|
||||
h11==0.14.0
|
||||
hanziconv==0.3.2
|
||||
httpcore==1.0.4
|
||||
httpx==0.27.0
|
||||
huggingface-hub==0.20.3
|
||||
humanfriendly==10.0
|
||||
idna==3.7
|
||||
itsdangerous==2.1.2
|
||||
Jinja2==3.1.4
|
||||
joblib==1.3.2
|
||||
lxml==5.1.0
|
||||
MarkupSafe==2.1.5
|
||||
minio==7.2.4
|
||||
mpmath==1.3.0
|
||||
multidict==6.0.5
|
||||
multiprocess==0.70.16
|
||||
networkx==3.2.1
|
||||
nltk==3.9
|
||||
numpy==1.26.4
|
||||
# nvidia-cublas-cu12==12.1.3.1
|
||||
# nvidia-cuda-cupti-cu12==12.1.105
|
||||
# nvidia-cuda-nvrtc-cu12==12.1.105
|
||||
# nvidia-cuda-runtime-cu12==12.1.105
|
||||
# nvidia-cudnn-cu12==8.9.2.26
|
||||
# nvidia-cufft-cu12==11.0.2.54
|
||||
# nvidia-curand-cu12==10.3.2.106
|
||||
# nvidia-cusolver-cu12==11.4.5.107
|
||||
# nvidia-cusparse-cu12==12.1.0.106
|
||||
# nvidia-nccl-cu12==2.19.3
|
||||
# nvidia-nvjitlink-cu12==12.3.101
|
||||
# nvidia-nvtx-cu12==12.1.105
|
||||
ollama==0.1.9
|
||||
# onnxruntime-gpu==1.17.1
|
||||
openai==1.12.0
|
||||
opencv-python==4.9.0.80
|
||||
openpyxl==3.1.2
|
||||
ormsgpack==1.5.0
|
||||
packaging==23.2
|
||||
pandas==2.2.1
|
||||
pdfminer.six==20221105
|
||||
pdfplumber==0.10.4
|
||||
peewee==3.17.1
|
||||
pillow==10.3.0
|
||||
protobuf==4.25.3
|
||||
psutil==5.9.8
|
||||
psycopg2-binary==2.9.9
|
||||
pyarrow==15.0.0
|
||||
pyarrow-hotfix==0.6
|
||||
pyclipper==1.3.0.post5
|
||||
pycparser==2.21
|
||||
pycryptodome
|
||||
pycryptodome-test-vectors
|
||||
pycryptodomex
|
||||
pydantic==2.6.2
|
||||
pydantic_core==2.16.3
|
||||
PyJWT==2.8.0
|
||||
PyMySQL==1.1.1
|
||||
PyPDF2==3.0.1
|
||||
pypdfium2==4.27.0
|
||||
python-dateutil==2.8.2
|
||||
python-docx==1.1.0
|
||||
python-dotenv==1.0.1
|
||||
python-pptx==0.6.23
|
||||
PyYAML==6.0.1
|
||||
qianfan==0.4.6
|
||||
redis==5.0.3
|
||||
regex==2023.12.25
|
||||
replicate==0.31.0
|
||||
requests==2.32.2
|
||||
ruamel.yaml==0.18.6
|
||||
ruamel.yaml.clib==0.2.8
|
||||
safetensors==0.4.2
|
||||
scikit-learn==1.5.0
|
||||
scipy==1.12.0
|
||||
sentence-transformers==2.4.0
|
||||
shapely==2.0.3
|
||||
six==1.16.0
|
||||
sniffio==1.3.1
|
||||
StrEnum==0.4.15
|
||||
sympy==1.12
|
||||
tencentcloud-sdk-python==3.0.1215
|
||||
threadpoolctl==3.3.0
|
||||
tika==2.6.0
|
||||
tiktoken==0.6.0
|
||||
tokenizers==0.15.2
|
||||
torch==2.2.1
|
||||
tqdm==4.66.3
|
||||
transformers==4.38.1
|
||||
# triton==2.2.0
|
||||
typing_extensions==4.10.0
|
||||
tzdata==2024.1
|
||||
urllib3==2.2.2
|
||||
Werkzeug==3.0.3
|
||||
xgboost==2.0.3
|
||||
XlsxWriter==3.2.0
|
||||
xpinyin==0.7.6
|
||||
xxhash==3.4.1
|
||||
yarl==1.9.4
|
||||
zhipuai==2.0.1
|
||||
BCEmbedding
|
||||
loguru==0.7.2
|
||||
umap-learn
|
||||
fasttext==0.9.2
|
||||
volcengine==1.0.141
|
||||
voyageai==0.2.3
|
||||
opencv-python-headless==4.9.0.80
|
||||
readability-lxml==0.8.1
|
||||
html_text==0.6.2
|
||||
selenium==4.21.0
|
||||
webdriver-manager==4.0.1
|
||||
cn2an==0.5.22
|
||||
roman-numbers==1.0.2
|
||||
word2number==1.1
|
||||
markdown==3.6
|
||||
mistralai==0.4.2
|
||||
boto3==1.34.140
|
||||
duckduckgo_search==6.1.9
|
||||
google-generativeai==0.7.2
|
||||
groq==0.9.0
|
||||
wikipedia==1.4.0
|
||||
Bio==1.7.1
|
||||
arxiv==2.1.3
|
||||
pypdf==4.3.0
|
||||
google_search_results==2.4.2
|
||||
editdistance==0.8.1
|
||||
markdown_to_json==2.1.1
|
||||
scholarly==1.7.11
|
||||
deepl==1.18.0
|
||||
psycopg2-binary==2.9.9
|
||||
tabulate==0.9.0
|
||||
vertexai==1.64.0
|
||||
yfinance==0.1.96
|
||||
pywencai==0.12.2
|
||||
akshare==1.14.72
|
||||
ranx==0.3.20
|
||||
Loading…
x
Reference in New Issue
Block a user