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fix(deps): update machine-learning (#10740)
* fix(deps): update machine-learning * update openvino options, cuda * update openvino build * fix indentation * update minimum nvidia driver --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com>
This commit is contained in:
parent
8b773a2b2e
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@ -33,6 +33,8 @@ services:
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dockerfile: Dockerfile
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args:
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- DEVICE=cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
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ports:
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- 3003:3003
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volumes:
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- model-cache:/cache
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env_file:
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@ -38,7 +38,7 @@ You do not need to redo any machine learning jobs after enabling hardware accele
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- The GPU must have compute capability 5.2 or greater.
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- The server must have the official NVIDIA driver installed.
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- The installed driver must be >= 535 (it must support CUDA 12.2).
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- The installed driver must be >= 545 (it must support CUDA 12.3.2).
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- On Linux (except for WSL2), you also need to have [NVIDIA Container Toolkit][nvct] installed.
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#### OpenVINO
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@ -2,9 +2,7 @@ ARG DEVICE=cpu
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FROM python:3.11-bookworm@sha256:7bec1574675e7fd9e3a540a03cd7d6811c59ca261bd300cd665369d8f435298a as builder-cpu
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FROM openvino/ubuntu22_runtime:2023.3.0@sha256:176646df619032ea6c10faf842867119c393e7497b7f88b5e307e932a0fd5aa8 as builder-openvino
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USER root
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RUN apt-get update && apt-get install -y --no-install-recommends python3-dev
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FROM builder-cpu as builder-openvino
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FROM builder-cpu as builder-cuda
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@ -38,13 +36,15 @@ RUN poetry install --sync --no-interaction --no-ansi --no-root --with ${DEVICE}
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FROM python:3.11-slim-bookworm@sha256:17ec9dc2367aa748559d0212f34665ec4df801129de32db705ea34654b5bc77a as prod-cpu
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FROM openvino/ubuntu22_runtime:2023.3.0@sha256:176646df619032ea6c10faf842867119c393e7497b7f88b5e307e932a0fd5aa8 as prod-openvino
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USER root
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# TODO: remove this once the image has the fix for https://github.com/intel/compute-runtime/issues/710
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ENV NEOReadDebugKeys=1 \
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OverrideGpuAddressSpace=48
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FROM prod-cpu as prod-openvino
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FROM nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04@sha256:2d913b09e6be8387e1a10976933642c73c840c0b735f0bf3c28d97fc9bc422e0 as prod-cuda
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COPY scripts/configure-apt.sh ./
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RUN ./configure-apt.sh && \
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apt-get update && \
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apt-get install -t unstable --no-install-recommends -yqq intel-opencl-icd && \
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rm configure-apt.sh
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FROM nvidia/cuda:12.3.2-cudnn9-runtime-ubuntu22.04@sha256:fa44193567d1908f7ca1f3abf8623ce9c63bc8cba7bcfdb32702eb04d326f7a8 as prod-cuda
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COPY --from=builder-cuda /usr/local/bin/python3 /usr/local/bin/python3
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COPY --from=builder-cuda /usr/local/lib/python3.11 /usr/local/lib/python3.11
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@ -71,13 +71,15 @@ COPY --from=builder-armnn \
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/opt/armnn/
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FROM prod-${DEVICE} as prod
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ARG DEVICE
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RUN apt-get update && \
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apt-get install -y --no-install-recommends tini libmimalloc2.0 && \
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apt-get install -y --no-install-recommends tini $(if ! [ "$DEVICE" = "openvino" ]; then echo "libmimalloc2.0"; fi) && \
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apt-get autoremove -yqq && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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WORKDIR /usr/src/app
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ARG DEVICE
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ENV TRANSFORMERS_CACHE=/cache \
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PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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@ -47,8 +47,8 @@ def pil_to_cv2(image: Image.Image) -> NDArray[np.uint8]:
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def decode_pil(image_bytes: bytes | IO[bytes] | Image.Image) -> Image.Image:
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if isinstance(image_bytes, Image.Image):
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return image_bytes
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image = Image.open(BytesIO(image_bytes) if isinstance(image_bytes, bytes) else image_bytes)
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image.load() # type: ignore
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image: Image.Image = Image.open(BytesIO(image_bytes) if isinstance(image_bytes, bytes) else image_bytes)
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image.load()
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if not image.mode == "RGB":
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image = image.convert("RGB")
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return image
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@ -83,17 +83,21 @@ class OrtSession:
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@property
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def _provider_options_default(self) -> list[dict[str, Any]]:
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options = []
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provider_options = []
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for provider in self.providers:
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match provider:
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case "CPUExecutionProvider" | "CUDAExecutionProvider":
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option = {"arena_extend_strategy": "kSameAsRequested"}
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options = {"arena_extend_strategy": "kSameAsRequested"}
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case "OpenVINOExecutionProvider":
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option = {"device_type": "GPU_FP32", "cache_dir": (self.model_path.parent / "openvino").as_posix()}
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options = {
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"device_type": "GPU",
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"precision": "FP32",
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"cache_dir": (self.model_path.parent / "openvino").as_posix(),
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}
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case _:
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option = {}
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options.append(option)
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return options
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options = {}
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provider_options.append(options)
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return provider_options
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@property
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def sess_options(self) -> ort.SessionOptions:
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@ -212,7 +212,7 @@ class TestOrtSession:
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session = OrtSession(model_path, providers=["OpenVINOExecutionProvider", "CPUExecutionProvider"])
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assert session.provider_options == [
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{"device_type": "GPU_FP32", "cache_dir": "/cache/ViT-B-32__openai/openvino"},
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{"device_type": "GPU", "precision": "FP32", "cache_dir": "/cache/ViT-B-32__openai/openvino"},
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{"arena_extend_strategy": "kSameAsRequested"},
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]
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544
machine-learning/poetry.lock
generated
544
machine-learning/poetry.lock
generated
@ -680,13 +680,13 @@ test = ["pytest (>=6)"]
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[[package]]
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name = "fastapi-slim"
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version = "0.111.0"
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version = "0.111.1"
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description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "fastapi_slim-0.111.0-py3-none-any.whl", hash = "sha256:6e4b04a555496e5a2590031fcae3ef8e364ad4901b340033e2e1d8136471aca2"},
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{file = "fastapi_slim-0.111.0.tar.gz", hash = "sha256:100720e4362ec4de97dee83a579b970e79fb5bf48073b37c9ce9b0e63dda4bec"},
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{file = "fastapi_slim-0.111.1-py3-none-any.whl", hash = "sha256:ac29948dcbf84cc78d68ed2c4df4e695ac265cf53c339e5794008476e9befbbb"},
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{file = "fastapi_slim-0.111.1.tar.gz", hash = "sha256:f799a60658f56c49fe3842eb534730fabe1168731c0b407b98a042c8d57be39d"},
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]
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[package.dependencies]
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@ -696,7 +696,7 @@ typing-extensions = ">=4.8.0"
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[package.extras]
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all = ["email_validator (>=2.0.0)", "fastapi-cli (>=0.0.2)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
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standard = ["email_validator (>=2.0.0)", "fastapi-cli (>=0.0.2)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "python-multipart (>=0.0.7)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
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standard = ["email_validator (>=2.0.0)", "fastapi-cli (>=0.0.2)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
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[[package]]
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name = "filelock"
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@ -1236,13 +1236,13 @@ socks = ["socksio (==1.*)"]
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[[package]]
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name = "huggingface-hub"
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version = "0.23.4"
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version = "0.24.0"
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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-0.23.4-py3-none-any.whl", hash = "sha256:3a0b957aa87150addf0cc7bd71b4d954b78e749850e1e7fb29ebbd2db64ca037"},
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{file = "huggingface_hub-0.23.4.tar.gz", hash = "sha256:35d99016433900e44ae7efe1c209164a5a81dbbcd53a52f99c281dcd7ce22431"},
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{file = "huggingface_hub-0.24.0-py3-none-any.whl", hash = "sha256:7ad92edefb93d8145c061f6df8d99df2ff85f8379ba5fac8a95aca0642afa5d7"},
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{file = "huggingface_hub-0.24.0.tar.gz", hash = "sha256:6c7092736b577d89d57b3cdfea026f1b0dc2234ae783fa0d59caf1bf7d52dfa7"},
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]
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[package.dependencies]
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@ -1255,17 +1255,17 @@ 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", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "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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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", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "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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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 (>=0.3.0)"]
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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", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
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torch = ["safetensors", "torch"]
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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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@ -1530,13 +1530,13 @@ test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
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[[package]]
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name = "locust"
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version = "2.29.0"
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version = "2.29.1"
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description = "Developer-friendly load testing framework"
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optional = false
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python-versions = ">=3.9"
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files = [
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{file = "locust-2.29.0-py3-none-any.whl", hash = "sha256:aa9d94d3604ed9f2aab3248460d91e55d3de980a821dffdf8658b439b049d03f"},
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{file = "locust-2.29.0.tar.gz", hash = "sha256:649c99ce49d00720a3084c0109547035ad9021222835386599a8b545d31ebe51"},
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{file = "locust-2.29.1-py3-none-any.whl", hash = "sha256:8b15daab44cdf50eef1860a32bb30969423e3795247115e5a37446da3240c6d6"},
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{file = "locust-2.29.1.tar.gz", hash = "sha256:2e0628a59e2689a50cb4735a9a43709e30f2da7ed276c15d877c5325507f44b1"},
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]
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[package.dependencies]
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@ -1555,6 +1555,7 @@ requests = [
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{version = ">=2.26.0", markers = "python_version <= \"3.11\""},
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]
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tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
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typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.11\""}
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Werkzeug = ">=2.0.0"
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[[package]]
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@ -1793,44 +1794,44 @@ files = [
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[[package]]
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name = "mypy"
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version = "1.10.0"
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version = "1.11.0"
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description = "Optional static typing for Python"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "mypy-1.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:da1cbf08fb3b851ab3b9523a884c232774008267b1f83371ace57f412fe308c2"},
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{file = "mypy-1.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:12b6bfc1b1a66095ab413160a6e520e1dc076a28f3e22f7fb25ba3b000b4ef99"},
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{file = "mypy-1.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e36fb078cce9904c7989b9693e41cb9711e0600139ce3970c6ef814b6ebc2b2"},
|
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{file = "mypy-1.10.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2b0695d605ddcd3eb2f736cd8b4e388288c21e7de85001e9f85df9187f2b50f9"},
|
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{file = "mypy-1.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:cd777b780312ddb135bceb9bc8722a73ec95e042f911cc279e2ec3c667076051"},
|
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{file = "mypy-1.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3be66771aa5c97602f382230165b856c231d1277c511c9a8dd058be4784472e1"},
|
||||
{file = "mypy-1.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8b2cbaca148d0754a54d44121b5825ae71868c7592a53b7292eeb0f3fdae95ee"},
|
||||
{file = "mypy-1.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ec404a7cbe9fc0e92cb0e67f55ce0c025014e26d33e54d9e506a0f2d07fe5de"},
|
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{file = "mypy-1.10.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e22e1527dc3d4aa94311d246b59e47f6455b8729f4968765ac1eacf9a4760bc7"},
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{file = "mypy-1.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:a87dbfa85971e8d59c9cc1fcf534efe664d8949e4c0b6b44e8ca548e746a8d53"},
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{file = "mypy-1.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a781f6ad4bab20eef8b65174a57e5203f4be627b46291f4589879bf4e257b97b"},
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{file = "mypy-1.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b808e12113505b97d9023b0b5e0c0705a90571c6feefc6f215c1df9381256e30"},
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{file = "mypy-1.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f55583b12156c399dce2df7d16f8a5095291354f1e839c252ec6c0611e86e2e"},
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{file = "mypy-1.10.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4cf18f9d0efa1b16478c4c129eabec36148032575391095f73cae2e722fcf9d5"},
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{file = "mypy-1.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:bc6ac273b23c6b82da3bb25f4136c4fd42665f17f2cd850771cb600bdd2ebeda"},
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[[package]]
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||||
|
||||
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||||
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||||
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||||
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||||
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||||
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protobuf = "*"
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||||
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||||
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[[package]]
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@ -2158,84 +2164,95 @@ files = [
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[[package]]
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{file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:a02364621fe369e06200d4a16558e056fe2805d3468350df3aef21e00d26214b"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1b5dea9831a90e9d0721ec417a80d4cbd7022093ac38a568db2dd78363b00908"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b885f89040bb8c4a1573566bbb2f44f5c505ef6e74cec7ab9068c900047f04b"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87dd88ded2e6d74d31e1e0a99a726a6765cda32d00ba72dc37f0651f306daaa8"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:2db98790afc70118bd0255c2eeb465e9767ecf1f3c25f9a1abb8ffc8cfd1fe0a"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f7baece4ce06bade126fb84b8af1c33439a76d8a6fd818970215e0560ca28c27"},
|
||||
{file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"},
|
||||
{file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
|
||||
docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
|
||||
fpx = ["olefile"]
|
||||
mic = ["olefile"]
|
||||
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
|
||||
@ -2810,28 +2827,29 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.4.10"
|
||||
version = "0.5.4"
|
||||
description = "An extremely fast Python linter and code formatter, written in Rust."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "ruff-0.4.10-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:5c2c4d0859305ac5a16310eec40e4e9a9dec5dcdfbe92697acd99624e8638dac"},
|
||||
{file = "ruff-0.4.10-py3-none-macosx_11_0_arm64.whl", hash = "sha256:a79489607d1495685cdd911a323a35871abfb7a95d4f98fc6f85e799227ac46e"},
|
||||
{file = "ruff-0.4.10-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1dd1681dfa90a41b8376a61af05cc4dc5ff32c8f14f5fe20dba9ff5deb80cd6"},
|
||||
{file = "ruff-0.4.10-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c75c53bb79d71310dc79fb69eb4902fba804a81f374bc86a9b117a8d077a1784"},
|
||||
{file = "ruff-0.4.10-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18238c80ee3d9100d3535d8eb15a59c4a0753b45cc55f8bf38f38d6a597b9739"},
|
||||
{file = "ruff-0.4.10-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:d8f71885bce242da344989cae08e263de29752f094233f932d4f5cfb4ef36a81"},
|
||||
{file = "ruff-0.4.10-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:330421543bd3222cdfec481e8ff3460e8702ed1e58b494cf9d9e4bf90db52b9d"},
|
||||
{file = "ruff-0.4.10-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9e9b6fb3a37b772628415b00c4fc892f97954275394ed611056a4b8a2631365e"},
|
||||
{file = "ruff-0.4.10-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f54c481b39a762d48f64d97351048e842861c6662d63ec599f67d515cb417f6"},
|
||||
{file = "ruff-0.4.10-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:67fe086b433b965c22de0b4259ddfe6fa541c95bf418499bedb9ad5fb8d1c631"},
|
||||
{file = "ruff-0.4.10-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:acfaaab59543382085f9eb51f8e87bac26bf96b164839955f244d07125a982ef"},
|
||||
{file = "ruff-0.4.10-py3-none-musllinux_1_2_i686.whl", hash = "sha256:3cea07079962b2941244191569cf3a05541477286f5cafea638cd3aa94b56815"},
|
||||
{file = "ruff-0.4.10-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:338a64ef0748f8c3a80d7f05785930f7965d71ca260904a9321d13be24b79695"},
|
||||
{file = "ruff-0.4.10-py3-none-win32.whl", hash = "sha256:ffe3cd2f89cb54561c62e5fa20e8f182c0a444934bf430515a4b422f1ab7b7ca"},
|
||||
{file = "ruff-0.4.10-py3-none-win_amd64.whl", hash = "sha256:67f67cef43c55ffc8cc59e8e0b97e9e60b4837c8f21e8ab5ffd5d66e196e25f7"},
|
||||
{file = "ruff-0.4.10-py3-none-win_arm64.whl", hash = "sha256:dd1fcee327c20addac7916ca4e2653fbbf2e8388d8a6477ce5b4e986b68ae6c0"},
|
||||
{file = "ruff-0.4.10.tar.gz", hash = "sha256:3aa4f2bc388a30d346c56524f7cacca85945ba124945fe489952aadb6b5cd804"},
|
||||
{file = "ruff-0.5.4-py3-none-linux_armv6l.whl", hash = "sha256:82acef724fc639699b4d3177ed5cc14c2a5aacd92edd578a9e846d5b5ec18ddf"},
|
||||
{file = "ruff-0.5.4-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:da62e87637c8838b325e65beee485f71eb36202ce8e3cdbc24b9fcb8b99a37be"},
|
||||
{file = "ruff-0.5.4-py3-none-macosx_11_0_arm64.whl", hash = "sha256:e98ad088edfe2f3b85a925ee96da652028f093d6b9b56b76fc242d8abb8e2059"},
|
||||
{file = "ruff-0.5.4-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c55efbecc3152d614cfe6c2247a3054cfe358cefbf794f8c79c8575456efe19"},
|
||||
{file = "ruff-0.5.4-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f9b85eaa1f653abd0a70603b8b7008d9e00c9fa1bbd0bf40dad3f0c0bdd06793"},
|
||||
{file = "ruff-0.5.4-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0cf497a47751be8c883059c4613ba2f50dd06ec672692de2811f039432875278"},
|
||||
{file = "ruff-0.5.4-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:09c14ed6a72af9ccc8d2e313d7acf7037f0faff43cde4b507e66f14e812e37f7"},
|
||||
{file = "ruff-0.5.4-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:628f6b8f97b8bad2490240aa84f3e68f390e13fabc9af5c0d3b96b485921cd60"},
|
||||
{file = "ruff-0.5.4-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3520a00c0563d7a7a7c324ad7e2cde2355733dafa9592c671fb2e9e3cd8194c1"},
|
||||
{file = "ruff-0.5.4-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:93789f14ca2244fb91ed481456f6d0bb8af1f75a330e133b67d08f06ad85b516"},
|
||||
{file = "ruff-0.5.4-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:029454e2824eafa25b9df46882f7f7844d36fd8ce51c1b7f6d97e2615a57bbcc"},
|
||||
{file = "ruff-0.5.4-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:9492320eed573a13a0bc09a2957f17aa733fff9ce5bf00e66e6d4a88ec33813f"},
|
||||
{file = "ruff-0.5.4-py3-none-musllinux_1_2_i686.whl", hash = "sha256:a6e1f62a92c645e2919b65c02e79d1f61e78a58eddaebca6c23659e7c7cb4ac7"},
|
||||
{file = "ruff-0.5.4-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:768fa9208df2bec4b2ce61dbc7c2ddd6b1be9fb48f1f8d3b78b3332c7d71c1ff"},
|
||||
{file = "ruff-0.5.4-py3-none-win32.whl", hash = "sha256:e1e7393e9c56128e870b233c82ceb42164966f25b30f68acbb24ed69ce9c3a4e"},
|
||||
{file = "ruff-0.5.4-py3-none-win_amd64.whl", hash = "sha256:58b54459221fd3f661a7329f177f091eb35cf7a603f01d9eb3eb11cc348d38c4"},
|
||||
{file = "ruff-0.5.4-py3-none-win_arm64.whl", hash = "sha256:bd53da65f1085fb5b307c38fd3c0829e76acf7b2a912d8d79cadcdb4875c1eb7"},
|
||||
{file = "ruff-0.5.4.tar.gz", hash = "sha256:2795726d5f71c4f4e70653273d1c23a8182f07dd8e48c12de5d867bfb7557eed"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
13
machine-learning/scripts/configure-apt.sh
Executable file
13
machine-learning/scripts/configure-apt.sh
Executable file
@ -0,0 +1,13 @@
|
||||
#!/usr/bin/env bash
|
||||
|
||||
set -e
|
||||
|
||||
sed -i -e's/ main/ main contrib non-free non-free-firmware/g' /etc/apt/sources.list.d/debian.sources
|
||||
sed -i -e's/ bookworm-updates/ bookworm-updates sid/g' /etc/apt/sources.list.d/debian.sources
|
||||
|
||||
# default priority is 500, so we set unstable to 450 to prefer stable packages
|
||||
cat > /etc/apt/preferences.d/preferences << EOL
|
||||
Package: *
|
||||
Pin: release a=unstable
|
||||
Pin-Priority: 450
|
||||
EOL
|
Loading…
Reference in New Issue
Block a user