mirror of
https://github.com/Cian-H/symbolic_nn_tests.git
synced 2025-12-22 22:22:01 +00:00
3869 lines
338 KiB
TOML
3869 lines
338 KiB
TOML
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
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[[package]]
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python-versions = ">=3.7"
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name = "aenum"
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]
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[package.dependencies]
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aiosignal = ">=1.1.2"
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attrs = ">=17.3.0"
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frozenlist = ">=1.1.1"
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multidict = ">=4.5,<7.0"
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yarl = ">=1.0,<2.0"
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[package.extras]
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speedups = ["Brotli", "aiodns", "brotlicffi"]
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[[package]]
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name = "aiosignal"
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version = "1.3.1"
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description = "aiosignal: a list of registered asynchronous callbacks"
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]
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[package.dependencies]
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pycparser = "*"
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[[package]]
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name = "charset-normalizer"
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|
version = "3.3.2"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7.0"
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files = [
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dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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colorama = {version = "*", markers = "sys_platform == \"win32\""}
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decorator = "*"
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jedi = ">=0.16"
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|
matplotlib-inline = "*"
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pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
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prompt-toolkit = ">=3.0.41,<3.1.0"
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pygments = ">=2.4.0"
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stack-data = "*"
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traitlets = ">=5.13.0"
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typing-extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
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[package.extras]
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all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
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|
black = ["black"]
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|
doc = ["docrepr", "exceptiongroup", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "stack-data", "typing-extensions"]
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|
kernel = ["ipykernel"]
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matplotlib = ["matplotlib"]
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nbconvert = ["nbconvert"]
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nbformat = ["nbformat"]
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notebook = ["ipywidgets", "notebook"]
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|
parallel = ["ipyparallel"]
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qtconsole = ["qtconsole"]
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test = ["pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
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|
test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
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[[package]]
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name = "jedi"
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version = "0.19.1"
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description = "An autocompletion tool for Python that can be used for text editors."
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optional = false
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python-versions = ">=3.6"
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files = [
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[package.dependencies]
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parso = ">=0.8.3,<0.9.0"
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[package.extras]
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docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
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qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
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testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
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[[package]]
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name = "jinja2"
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version = "3.1.4"
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description = "A very fast and expressive template engine."
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optional = false
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python-versions = ">=3.7"
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MarkupSafe = ">=2.0"
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[package.extras]
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i18n = ["Babel (>=2.7)"]
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[[package]]
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name = "jinxed"
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version = "1.2.1"
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description = "Jinxed Terminal Library"
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optional = false
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python-versions = "*"
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ansicon = {version = "*", markers = "platform_system == \"Windows\""}
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[[package]]
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name = "jsonschema"
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version = "4.22.0"
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description = "An implementation of JSON Schema validation for Python"
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rpds-py = ">=0.7.1"
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format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
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version = "2023.12.1"
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test-external = ["autopep8", "black", "flake8", "gitpython", "ipykernel", "isort", "jupyter-fs (<0.4.0)", "jupyter-server (!=2.11)", "nbconvert", "pre-commit", "pytest", "pytest-randomly", "pytest-xdist", "sphinx-gallery (<0.8)"]
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[[package]]
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name = "lightning"
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description = "The Deep Learning framework to train, deploy, and ship AI products Lightning fast."
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files = [
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[package.dependencies]
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fsspec = {version = ">=2022.5.0,<2025.0", extras = ["http"]}
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lightning-utilities = ">=0.8.0,<2.0"
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numpy = ">=1.17.2,<3.0"
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packaging = ">=20.0,<25.0"
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torch = ">=1.13.0,<4.0"
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|
description = "CUDA profiling tools runtime libs."
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|
optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
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[[package]]
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name = "nvidia-cuda-nvrtc-cu12"
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|
version = "12.1.105"
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|
description = "NVRTC native runtime libraries"
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|
optional = false
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|
python-versions = ">=3"
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files = [
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{file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
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[[package]]
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name = "nvidia-cuda-runtime-cu12"
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version = "12.1.105"
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description = "CUDA Runtime native Libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
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[[package]]
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name = "nvidia-cudnn-cu12"
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version = "8.9.2.26"
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description = "cuDNN runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
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]
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[package.dependencies]
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nvidia-cublas-cu12 = "*"
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[[package]]
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|
name = "nvidia-cufft-cu12"
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|
version = "11.0.2.54"
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description = "CUFFT native runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
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[[package]]
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name = "nvidia-curand-cu12"
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version = "10.3.2.106"
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description = "CURAND native runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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[[package]]
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name = "nvidia-cusolver-cu12"
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version = "11.4.5.107"
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description = "CUDA solver native runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
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[package.dependencies]
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nvidia-cublas-cu12 = "*"
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nvidia-cusparse-cu12 = "*"
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nvidia-nvjitlink-cu12 = "*"
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[[package]]
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name = "nvidia-cusparse-cu12"
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version = "12.1.0.106"
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description = "CUSPARSE native runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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[package.dependencies]
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nvidia-nvjitlink-cu12 = "*"
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[[package]]
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name = "nvidia-nccl-cu12"
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version = "2.20.5"
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description = "NVIDIA Collective Communication Library (NCCL) Runtime"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
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[[package]]
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name = "nvidia-nvjitlink-cu12"
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version = "12.4.127"
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description = "Nvidia JIT LTO Library"
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|
optional = false
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python-versions = ">=3"
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files = [
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[[package]]
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name = "nvidia-nvtx-cu12"
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version = "12.1.105"
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description = "NVIDIA Tools Extension"
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optional = false
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python-versions = ">=3"
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files = [
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[[package]]
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name = "optuna"
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version = "3.6.1"
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description = "A hyperparameter optimization framework"
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optional = false
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python-versions = ">=3.7"
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files = [
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[package.dependencies]
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alembic = ">=1.5.0"
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colorlog = "*"
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numpy = "*"
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packaging = ">=20.0"
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PyYAML = "*"
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sqlalchemy = ">=1.3.0"
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tqdm = "*"
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[package.extras]
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benchmark = ["asv (>=0.5.0)", "botorch", "cma", "virtualenv"]
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checking = ["black", "blackdoc", "flake8", "isort", "mypy", "mypy-boto3-s3", "types-PyYAML", "types-redis", "types-setuptools", "types-tqdm", "typing-extensions (>=3.10.0.0)"]
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document = ["ase", "cmaes (>=0.10.0)", "fvcore", "lightgbm", "matplotlib (!=3.6.0)", "pandas", "pillow", "plotly (>=4.9.0)", "scikit-learn", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-plotly-directive", "sphinx-rtd-theme (>=1.2.0)", "torch", "torchvision"]
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optional = ["boto3", "cmaes (>=0.10.0)", "google-cloud-storage", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch"]
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test = ["coverage", "fakeredis[lua]", "kaleido", "moto", "pytest", "scipy (>=1.9.2)", "torch"]
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[[package]]
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name = "packaging"
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version = "24.0"
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description = "Core utilities for Python packages"
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[[package]]
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name = "parso"
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version = "0.8.4"
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description = "A Python Parser"
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python-versions = ">=3.6"
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files = [
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[package.extras]
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qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
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testing = ["docopt", "pytest"]
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[[package]]
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name = "pexpect"
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version = "4.9.0"
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description = "Pexpect allows easy control of interactive console applications."
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optional = false
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python-versions = "*"
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[package.dependencies]
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ptyprocess = ">=0.5"
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[[package]]
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|
name = "pillow"
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version = "10.3.0"
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description = "Python Imaging Library (Fork)"
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optional = false
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python-versions = ">=3.8"
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optional = false
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certifi = "*"
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[package.extras]
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aiohttp = ["aiohttp (>=3.5)"]
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anthropic = ["anthropic (>=0.16)"]
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arq = ["arq (>=0.23)"]
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asyncpg = ["asyncpg (>=0.23)"]
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beam = ["apache-beam (>=2.12)"]
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name = "setproctitle"
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version = "1.3.3"
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]
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[package.dependencies]
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click = ">=7.1,<8.0.0 || >8.0.0"
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|
docker-pycreds = ">=0.4.0"
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gitpython = ">=1.0.0,<3.1.29 || >3.1.29"
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platformdirs = "*"
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protobuf = {version = ">=3.19.0,<4.21.0 || >4.21.0,<5", markers = "python_version > \"3.9\" or sys_platform != \"linux\""}
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psutil = ">=5.0.0"
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pyyaml = "*"
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requests = ">=2.0.0,<3"
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sentry-sdk = ">=1.0.0"
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setproctitle = "*"
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setuptools = "*"
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[package.extras]
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aws = ["boto3"]
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|
azure = ["azure-identity", "azure-storage-blob"]
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|
gcp = ["google-cloud-storage"]
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|
importers = ["filelock", "mlflow", "polars", "rich", "tenacity"]
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|
kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
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|
launch = ["awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "pydantic", "pyyaml (>=6.0.0)", "tomli", "typing-extensions"]
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media = ["bokeh", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit-pypi", "soundfile"]
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|
models = ["cloudpickle"]
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perf = ["orjson"]
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reports = ["pydantic (>=2.0.0)"]
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sweeps = ["sweeps (>=0.2.0)"]
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[[package]]
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|
name = "wcwidth"
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|
version = "0.2.13"
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|
description = "Measures the displayed width of unicode strings in a terminal"
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|
optional = false
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python-versions = "*"
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files = [
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[[package]]
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name = "werkzeug"
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|
version = "3.0.3"
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|
description = "The comprehensive WSGI web application library."
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|
optional = false
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python-versions = ">=3.8"
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files = [
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[package.dependencies]
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MarkupSafe = ">=2.1.1"
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[package.extras]
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watchdog = ["watchdog (>=2.3)"]
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[[package]]
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name = "yarl"
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version = "1.9.4"
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description = "Yet another URL library"
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optional = false
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python-versions = ">=3.7"
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{file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
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{file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
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]
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[package.dependencies]
|
|
idna = ">=2.0"
|
|
multidict = ">=4.0"
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|
|
|
[metadata]
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|
lock-version = "2.0"
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python-versions = "^3.11"
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content-hash = "035f9d736293c9021a1dcdf67fd794bcc9034180dd2f458d9132e732daca06d9"
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