JaunatisBlue
c4a82614b3
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3945 lines
329 KiB
TOML
3945 lines
329 KiB
TOML
# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
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[[package]]
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name = "alabaster"
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version = "0.7.16"
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description = "A light, configurable Sphinx theme"
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optional = false
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[[package]]
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name = "alembic"
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version = "1.18.4"
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description = "A database migration tool for SQLAlchemy."
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optional = false
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[package.dependencies]
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Mako = "*"
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SQLAlchemy = ">=1.4.23"
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typing-extensions = ">=4.12"
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[package.extras]
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tz = ["tzdata"]
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[[package]]
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name = "antlr4-python3-runtime"
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name = "astroid"
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[[package]]
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name = "asttokens"
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description = "Annotate AST trees with source code positions"
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optional = false
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[package.extras]
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astroid = ["astroid (>=2,<5)"]
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test = ["astroid (>=2,<5)", "pytest (<9.0)", "pytest-cov", "pytest-xdist"]
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[[package]]
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name = "autoray"
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description = "Abstract your array operations."
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files = [
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[package.extras]
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docs = ["furo", "ipython", "myst-nb", "setuptools-scm", "sphinx", "sphinx-autoapi", "sphinx-copybutton"]
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tests = ["coverage", "numpy", "pytest", "pytest-cov"]
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[[package]]
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name = "babel"
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version = "2.18.0"
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description = "Internationalization utilities"
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optional = false
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files = [
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[package.extras]
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dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
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[[package]]
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name = "beautifulsoup4"
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description = "Screen-scraping library"
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optional = false
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python-versions = ">=3.7.0"
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[package.dependencies]
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soupsieve = ">=1.6.1"
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typing-extensions = ">=4.0.0"
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[package.extras]
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cchardet = ["cchardet"]
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chardet = ["chardet"]
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charset-normalizer = ["charset-normalizer"]
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html5lib = ["html5lib"]
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lxml = ["lxml"]
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[[package]]
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name = "certifi"
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version = "2026.2.25"
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description = "Python package for providing Mozilla's CA Bundle."
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optional = false
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python-versions = ">=3.7"
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groups = ["docs"]
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files = [
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[[package]]
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name = "charset-normalizer"
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version = "3.4.7"
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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"
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]
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[[package]]
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name = "cma"
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version = "3.4.0"
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description = "CMA-ES, Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization in Python"
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optional = false
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python-versions = "*"
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groups = ["main"]
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files = [
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]
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[package.dependencies]
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numpy = "*"
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[package.extras]
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constrained-solution-tracking = ["moarchiving"]
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plotting = ["matplotlib"]
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[[package]]
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name = "colorama"
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version = "0.4.6"
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description = "Cross-platform colored terminal text."
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optional = false
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python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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name = "colorlog"
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version = "6.10.1"
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description = "Add colours to the output of Python's logging module."
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optional = false
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]
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[package.dependencies]
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numpy = ">=1.25"
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[package.extras]
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bokeh = ["bokeh", "selenium"]
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docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
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|
mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.17.0)", "types-Pillow"]
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|
test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
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|
test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
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[[package]]
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|
name = "cotengra"
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|
version = "0.7.5"
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|
description = "Hyper optimized contraction trees for large tensor networks and einsums."
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|
optional = false
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python-versions = ">=3.8"
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groups = ["main"]
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files = [
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]
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[package.dependencies]
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autoray = "*"
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[package.extras]
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docs = ["astroid (<3.0.0)", "furo", "ipython (!=8.7.0)", "myst-nb", "setuptools-scm", "sphinx (>=2.0)", "sphinx-autoapi", "sphinx-copybutton", "sphinx-design"]
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recommended = ["cmaes", "cotengrust (>=0.1.3)", "cytoolz", "kahypar", "networkx", "numpy", "opt-einsum", "optuna", "ray", "tqdm"]
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|
test = ["altair", "baytune", "chocolate", "cmaes", "dask", "distributed", "kahypar", "matplotlib", "networkx", "nevergrad", "numpy", "opt-einsum", "pytest", "scikit-optimize", "seaborn"]
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[[package]]
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|
name = "coverage"
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version = "7.13.5"
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description = "Code coverage measurement for Python"
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optional = false
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|
all = ["nvidia-cublas-cu12 (==12.9.1.4.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-cccl-cu12 (==12.9.27.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-cupti-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-cuxxfilt-cu12 (==12.9.82.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-nvcc-cu12 (==12.9.86.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-nvrtc-cu12 (==12.9.86.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-opencl-cu12 (==12.9.19.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-profiler-api-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-runtime-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cuda-sanitizer-api-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cufft-cu12 (==11.4.1.4.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cufile-cu12 (==1.14.1.1.*) ; sys_platform == \"linux\"", "nvidia-curand-cu12 (==10.3.10.19.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cusolver-cu12 (==11.7.5.82.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-cusparse-cu12 (==12.5.10.65.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-npp-cu12 (==12.4.1.87.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvfatbin-cu12 (==12.9.82.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvjitlink-cu12 (==12.9.86.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvjpeg-cu12 (==12.4.0.76.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvml-dev-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\"", "nvidia-nvtx-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
cccl = ["nvidia-cuda-cccl-cu12 (==12.9.27.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
cublas = ["nvidia-cublas-cu12 (==12.9.1.4.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
cudart = ["nvidia-cuda-runtime-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
cufft = ["nvidia-cufft-cu12 (==11.4.1.4.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
cufile = ["nvidia-cufile-cu12 (==1.14.1.1.*) ; sys_platform == \"linux\""]
|
|
cupti = ["nvidia-cuda-cupti-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
curand = ["nvidia-curand-cu12 (==10.3.10.19.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
cusolver = ["nvidia-cusolver-cu12 (==11.7.5.82.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
cusparse = ["nvidia-cusparse-cu12 (==12.5.10.65.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
cuxxfilt = ["nvidia-cuda-cuxxfilt-cu12 (==12.9.82.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
npp = ["nvidia-npp-cu12 (==12.4.1.87.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
nvcc = ["nvidia-cuda-nvcc-cu12 (==12.9.86.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
nvfatbin = ["nvidia-nvfatbin-cu12 (==12.9.82.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
nvjitlink = ["nvidia-nvjitlink-cu12 (==12.9.86.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
nvjpeg = ["nvidia-nvjpeg-cu12 (==12.4.0.76.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
nvml = ["nvidia-nvml-dev-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
nvrtc = ["nvidia-cuda-nvrtc-cu12 (==12.9.86.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
nvtx = ["nvidia-nvtx-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
opencl = ["nvidia-cuda-opencl-cu12 (==12.9.19.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
profiler = ["nvidia-cuda-profiler-api-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
sanitizer = ["nvidia-cuda-sanitizer-api-cu12 (==12.9.79.*) ; sys_platform == \"win32\" or sys_platform == \"linux\""]
|
|
|
|
[[package]]
|
|
name = "cudensitymat-cu12"
|
|
version = "0.3.2"
|
|
description = "cuDensityMat - a component of NVIDIA cuQuantum SDK"
|
|
optional = true
|
|
python-versions = "*"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\""
|
|
files = [
|
|
{file = "cudensitymat_cu12-0.3.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0f04e3006c73848a6e955ac7be697b2e65fd9cfc2b27b0e05d53a61968dc2dc3"},
|
|
{file = "cudensitymat_cu12-0.3.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:dfe85b4f0bef34c087f7625995b11d370c135e7a3bf64e7d09ee2fd41f2aa237"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
cutensor-cu12 = ">=2.3.1,<3"
|
|
cutensornet-cu12 = ">=2.9.1,<3"
|
|
|
|
[[package]]
|
|
name = "cupauliprop-cu12"
|
|
version = "0.1.0"
|
|
description = "cuPauliProp - a component of NVIDIA cuQuantum SDK"
|
|
optional = true
|
|
python-versions = "*"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\""
|
|
files = [
|
|
{file = "cupauliprop_cu12-0.1.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9090cb0302c588628e990be7532f8a199e1b75d5225768bcdf2d659264217fde"},
|
|
{file = "cupauliprop_cu12-0.1.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:874e5a0d0e0d238bf2c2c511d61c590fe47d889e01963b5e6439a213a0a05bb4"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "cupy-cuda12x"
|
|
version = "13.6.0"
|
|
description = "CuPy: NumPy & SciPy for GPU"
|
|
optional = true
|
|
python-versions = ">=3.9"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\""
|
|
files = [
|
|
{file = "cupy_cuda12x-13.6.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:9e37f60f27ff9625dfdccc4688a09852707ec613e32ea9404f425dd22a386d14"},
|
|
{file = "cupy_cuda12x-13.6.0-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:e78409ea72f5ac7d6b6f3d33d99426a94005254fa57e10617f430f9fd7c3a0a1"},
|
|
{file = "cupy_cuda12x-13.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:f33c9c975782ef7a42c79b6b4fb3d5b043498f9b947126d792592372b432d393"},
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|
{file = "cupy_cuda12x-13.6.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:c790d012fd4d86872b9c89af9f5f15d91c30b8e3a4aa4dd04c2610f45f06ac44"},
|
|
{file = "cupy_cuda12x-13.6.0-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:77ba6745a130d880c962e687e4e146ebbb9014f290b0a80dbc4e4634eb5c3b48"},
|
|
{file = "cupy_cuda12x-13.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:a20b7acdc583643a623c8d8e3efbe0db616fbcf5916e9c99eedf73859b6133af"},
|
|
{file = "cupy_cuda12x-13.6.0-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:a6970ceefe40f9acbede41d7fe17416bd277b1bd2093adcde457b23b578c5a59"},
|
|
{file = "cupy_cuda12x-13.6.0-cp312-cp312-manylinux2014_x86_64.whl", hash = "sha256:79b0cacb5e8b190ef409f9e03f06ac8de1b021b0c0dda47674d446f5557e0eb1"},
|
|
{file = "cupy_cuda12x-13.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:ca06fede7b8b83ca9ad80062544ef2e5bb8d4762d1c4fc3ac8349376de9c8a5e"},
|
|
{file = "cupy_cuda12x-13.6.0-cp313-cp313-manylinux2014_aarch64.whl", hash = "sha256:e5426ae3b1b9cf59927481e457a89e3f0b50a35b114a8034ec9110e7a833434c"},
|
|
{file = "cupy_cuda12x-13.6.0-cp313-cp313-manylinux2014_x86_64.whl", hash = "sha256:52d9e7f83d920da7d81ec2e791c2c2c747fdaa1d7b811971b34865ce6371e98a"},
|
|
{file = "cupy_cuda12x-13.6.0-cp313-cp313-win_amd64.whl", hash = "sha256:297b4268f839de67ef7865c2202d3f5a0fb8d20bd43360bc51b6e60cb4406447"},
|
|
{file = "cupy_cuda12x-13.6.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:6ccd2fc75b0e0e24493531b8f8d8f978efecddb45f8479a48890c40d3805eb87"},
|
|
{file = "cupy_cuda12x-13.6.0-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:771f3135861b68199c18b49345210180d4fcdce4681b51c28224db389c4aac5d"},
|
|
{file = "cupy_cuda12x-13.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:4d2dfd9bb4705d446f542739a3616b4c9eea98d674fce247402cc9bcec89a1e4"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
fastrlock = ">=0.5"
|
|
numpy = ">=1.22,<2.6"
|
|
|
|
[package.extras]
|
|
all = ["Cython (>=3)", "optuna (>=2.0)", "scipy (>=1.7,<1.17)"]
|
|
test = ["hypothesis (>=6.37.2,<6.55.0)", "mpmath", "packaging", "pytest (>=7.2)"]
|
|
|
|
[[package]]
|
|
name = "cuquantum-python-cu12"
|
|
version = "25.11.1"
|
|
description = "NVIDIA cuQuantum Python"
|
|
optional = true
|
|
python-versions = ">=3.11"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\""
|
|
files = [
|
|
{file = "cuquantum_python_cu12-25.11.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:cd429691283507b2f4b078d96a97d1cde8bccdbab51c3acc1911845ec1bc97fd"},
|
|
{file = "cuquantum_python_cu12-25.11.1-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:543b93a80f5526fc043a50d455c83f984d477d9d6ce2426a576a2b086030bb25"},
|
|
{file = "cuquantum_python_cu12-25.11.1-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:637d08b5ab724c70d6b4a2a70fba80d76b516e3b36dd1f0b4cd87d3b631cfb6a"},
|
|
{file = "cuquantum_python_cu12-25.11.1-cp312-cp312-manylinux2014_x86_64.whl", hash = "sha256:1bf8f2e827c473ab4780a1743895d807101b0a2cb1c1aa639e91baaa785f1864"},
|
|
{file = "cuquantum_python_cu12-25.11.1-cp313-cp313-manylinux2014_aarch64.whl", hash = "sha256:56d41f1ad2eb3d1ea6d4db2ba85dde430c037d3629b396a19f1c12ebd17f4efb"},
|
|
{file = "cuquantum_python_cu12-25.11.1-cp313-cp313-manylinux2014_x86_64.whl", hash = "sha256:3701ed37ebab6c8bc09fefd34cac59ebc2d9d18f2c73cff5b48febdb4e3debbb"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
cuda-bindings = ">=12.9.2,<13.0.0"
|
|
cudensitymat-cu12 = ">=0.3.2,<0.4"
|
|
cupauliprop-cu12 = ">=0.1.0,<0.2"
|
|
cupy-cuda12x = ">=13.0"
|
|
custabilizer-cu12 = ">=0.1.0,<0.2"
|
|
custatevec-cu12 = ">=1.11,<2.0"
|
|
cutensornet-cu12 = ">=2.10.1,<3"
|
|
numpy = ">=1.21,<3.0"
|
|
nvmath-python = "0.6.0"
|
|
|
|
[package.extras]
|
|
jax = ["cuquantum-python-jax"]
|
|
test = ["cffi (>=1.0.0)", "cirq-core", "jsonschema (==4.17.3)", "mpi4py", "nbconvert", "nbformat", "networkx", "opt_einsum", "pylatexenc", "pytest (>=6.2)", "pytest-xdist", "qiskit (>=1.4.2,<3)", "qiskit-aer", "stim (==1.15.0)"]
|
|
|
|
[[package]]
|
|
name = "custabilizer-cu12"
|
|
version = "0.1.0"
|
|
description = "cuStabilizer - a component of NVIDIA cuQuantum SDK"
|
|
optional = true
|
|
python-versions = "*"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\""
|
|
files = [
|
|
{file = "custabilizer_cu12-0.1.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:a64d754c8290427f93a22109af32f834c9b99e93afae711cb604eab47d8980bb"},
|
|
{file = "custabilizer_cu12-0.1.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:af4b056604ce6186445732040d36fcd6568b4554a561e665dd0c619f8d811204"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "custatevec-cu12"
|
|
version = "1.13.0"
|
|
description = "cuStateVec - a component of NVIDIA cuQuantum SDK"
|
|
optional = true
|
|
python-versions = "*"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\""
|
|
files = [
|
|
{file = "custatevec_cu12-1.13.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:ed1ba8b9d23242f91fc6cef8b4e6487b007d6061251479a1bf87e3dbcb3db0be"},
|
|
{file = "custatevec_cu12-1.13.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:0019b0e945247d62dcf5829be89dd90e584bcd59b9a7c85d54e3f9e4acf8fd96"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "cutensor-cu12"
|
|
version = "2.6.0"
|
|
description = "NVIDIA cuTENSOR"
|
|
optional = true
|
|
python-versions = "*"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\""
|
|
files = [
|
|
{file = "cutensor_cu12-2.6.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:99c3f29b4061d097371786cb00d4ca127a731b7568a962d1e069ce11baa8d344"},
|
|
{file = "cutensor_cu12-2.6.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:c0baefa562c60e39989c5aed3e3f2d2e655d396b2e4788f6fe1b5410e20fef70"},
|
|
{file = "cutensor_cu12-2.6.0-py3-none-win_amd64.whl", hash = "sha256:a3a0930362cb4b3ff784163e956b1a557535a2cd6d3f1a1612ad427a988f46e3"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "cutensornet-cu12"
|
|
version = "2.12.0"
|
|
description = "cuTensorNet - a component of NVIDIA cuQuantum SDK"
|
|
optional = true
|
|
python-versions = "*"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\""
|
|
files = [
|
|
{file = "cutensornet_cu12-2.12.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4d363a2d746461cebe00da86c84401f59699b55c2a8f45f893a9cab930d1b5e6"},
|
|
{file = "cutensornet_cu12-2.12.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:14c8a91d3918aee6f6219b3b2cf85077c6c443d1e3f38af6a57712098b301f37"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
cutensor-cu12 = ">=2.5,<3"
|
|
|
|
[[package]]
|
|
name = "cycler"
|
|
version = "0.12.1"
|
|
description = "Composable style cycles"
|
|
optional = true
|
|
python-versions = ">=3.8"
|
|
groups = ["main"]
|
|
files = [
|
|
{file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
|
|
{file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
|
|
]
|
|
|
|
[package.extras]
|
|
docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
|
|
tests = ["pytest", "pytest-cov", "pytest-xdist"]
|
|
|
|
[[package]]
|
|
name = "cytoolz"
|
|
version = "1.1.0"
|
|
description = "Cython implementation of Toolz: High performance functional utilities"
|
|
optional = false
|
|
python-versions = ">=3.9"
|
|
groups = ["main"]
|
|
files = [
|
|
{file = "cytoolz-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:72d7043a88ea5e61ba9d17ea0d1c1eff10f645d7edfcc4e56a31ef78be287644"},
|
|
{file = "cytoolz-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d759e9ed421bacfeb456d47af8d734c057b9912b5f2441f95b27ca35e5efab07"},
|
|
{file = "cytoolz-1.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fdb5be8fbcc0396141189022724155a4c1c93712ac4aef8c03829af0c2a816d7"},
|
|
{file = "cytoolz-1.1.0-cp310-cp310-manylinux1_i686.manylinux_2_28_i686.manylinux_2_5_i686.whl", hash = "sha256:c8c0a513dc89bc05cc72893609118815bced5ef201f1a317b4cc3423b3a0e750"},
|
|
{file = "cytoolz-1.1.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ce94db4f8ebe842c30c0ece42ff5de977c47859088c2c363dede5a68f6906484"},
|
|
{file = "cytoolz-1.1.0-cp310-cp310-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:b622d4f54e370c853ded94a668f94fe72c6d70e06ac102f17a2746661c27ab52"},
|
|
{file = "cytoolz-1.1.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:375a65baa5a5b4ff6a0c5ff17e170cf23312e4c710755771ca966144c24216b5"},
|
|
{file = "cytoolz-1.1.0-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:c0d51bcdb3203a062a78f66bbe33db5e3123048e24a5f0e1402422d79df8ee2d"},
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[package.extras]
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cython = ["cython (>=0.29)"]
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test = ["pytest"]
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[[package]]
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name = "decorator"
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version = "5.2.1"
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description = "Decorators for Humans"
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optional = false
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python-versions = ">=3.8"
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description = "serialize all of Python"
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optional = false
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[package.extras]
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graph = ["objgraph (>=1.7.2)"]
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profile = ["gprof2dot (>=2022.7.29)"]
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[[package]]
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name = "isort"
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version = "6.1.0"
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description = "A Python utility / library to sort Python imports."
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|
optional = false
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|
python-versions = ">=3.9.0"
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groups = ["analysis"]
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files = [
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]
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[package.extras]
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colors = ["colorama"]
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plugins = ["setuptools"]
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[[package]]
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|
name = "jedi"
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|
version = "0.19.2"
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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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groups = ["dev"]
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files = [
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[package.dependencies]
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parso = ">=0.8.4,<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 (<9.0.0)"]
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[[package]]
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|
name = "jinja2"
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version = "3.1.6"
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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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[package.dependencies]
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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 = "joblib"
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version = "1.5.3"
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description = "Lightweight pipelining with Python functions"
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optional = false
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version = "1.5.0"
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description = "A fast implementation of the Cassowary constraint solver"
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optional = true
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[[package]]
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name = "matplotlib"
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version = "3.10.8"
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description = "Python plotting package"
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optional = true
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python-versions = ">=3.10"
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groups = ["main"]
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{file = "nvidia_cuda_nvrtc_cu12-12.9.86-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:096d4de6bda726415dfaf3198d4f5c522b8e70139c97feef5cd2ca6d4cd9cead"},
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{file = "nvidia_cuda_nvrtc_cu12-12.9.86-py3-none-win_amd64.whl", hash = "sha256:72972ebdcf504d69462d3bcd67e7b81edd25d0fb85a2c46d3ea3517666636349"},
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|
]
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|
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|
[[package]]
|
|
name = "nvidia-cuda-opencl-cu12"
|
|
version = "12.9.19"
|
|
description = "CUDA OpenCL"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
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{file = "nvidia_cuda_opencl_cu12-12.9.19-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:16897b9fe8e5849a7550ddd9e1d104bf3950531eb39a9c90a02453f19aa57a68"},
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|
{file = "nvidia_cuda_opencl_cu12-12.9.19-py3-none-win_amd64.whl", hash = "sha256:970edb7ad8e6b3f77271fefffaa4147f35d4f752389b159a1330f271e919178f"},
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|
]
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|
|
|
[[package]]
|
|
name = "nvidia-cuda-profiler-api-cu12"
|
|
version = "12.9.79"
|
|
description = "CUDA Profiler API"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
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|
{file = "nvidia_cuda_profiler_api_cu12-12.9.79-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8d79c445609d53a3b461832690cab0105a3f71fd9f17d4a6ed9ae102f4217108"},
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{file = "nvidia_cuda_profiler_api_cu12-12.9.79-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b3d5877b016450beb4d8935299bb86368f234d8789b64e844043b9a65ce31b39"},
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{file = "nvidia_cuda_profiler_api_cu12-12.9.79-py3-none-win_amd64.whl", hash = "sha256:e22e5bf44c5b966e03baa3e0bf30455a2e59bdb3e787538fe66db324fdb078d2"},
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|
]
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|
|
|
[[package]]
|
|
name = "nvidia-cuda-runtime-cu12"
|
|
version = "12.9.79"
|
|
description = "CUDA Runtime native Libraries"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
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{file = "nvidia_cuda_runtime_cu12-12.9.79-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:83469a846206f2a733db0c42e223589ab62fd2fabac4432d2f8802de4bded0a4"},
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{file = "nvidia_cuda_runtime_cu12-12.9.79-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:25bba2dfb01d48a9b59ca474a1ac43c6ebf7011f1b0b8cc44f54eb6ac48a96c3"},
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{file = "nvidia_cuda_runtime_cu12-12.9.79-py3-none-win_amd64.whl", hash = "sha256:8e018af8fa02363876860388bd10ccb89eb9ab8fb0aa749aaf58430a9f7c4891"},
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]
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|
|
[[package]]
|
|
name = "nvidia-cuda-sanitizer-api-cu12"
|
|
version = "12.9.79"
|
|
description = "CUDA Sanitizer"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
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{file = "nvidia_cuda_sanitizer_api_cu12-12.9.79-py3-none-manylinux_2_25_aarch64.whl", hash = "sha256:b456fbc21b4246143cf1d37af9d90401098096bbe610b9bf6b1a41c05600d44e"},
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{file = "nvidia_cuda_sanitizer_api_cu12-12.9.79-py3-none-manylinux_2_25_x86_64.whl", hash = "sha256:61e6bb66755cd13b89a32f5bda090022ef50c310eec404cc440fae4a3a405ee7"},
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{file = "nvidia_cuda_sanitizer_api_cu12-12.9.79-py3-none-win_amd64.whl", hash = "sha256:7536fff811aa997239571c601b4a98c26e29209d76f1d3343645d9e5cb320cdc"},
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]
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[[package]]
|
|
name = "nvidia-cufft-cu12"
|
|
version = "11.4.1.4"
|
|
description = "CUFFT native runtime libraries"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
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{file = "nvidia_cufft_cu12-11.4.1.4-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:1a28c9b12260a1aa7a8fd12f5ebd82d027963d635ba82ff39a1acfa7c4c0fbcf"},
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{file = "nvidia_cufft_cu12-11.4.1.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c67884f2a7d276b4b80eb56a79322a95df592ae5e765cf1243693365ccab4e28"},
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|
{file = "nvidia_cufft_cu12-11.4.1.4-py3-none-win_amd64.whl", hash = "sha256:8e5bfaac795e93f80611f807d42844e8e27e340e0cde270dcb6c65386d795b80"},
|
|
]
|
|
|
|
[package.dependencies]
|
|
nvidia-nvjitlink-cu12 = "*"
|
|
|
|
[[package]]
|
|
name = "nvidia-cufile-cu12"
|
|
version = "1.14.1.1"
|
|
description = "cuFile GPUDirect libraries"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and sys_platform == \"linux\""
|
|
files = [
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{file = "nvidia_cufile_cu12-1.14.1.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9552e2231792e94b1ff17bc99e958cc0e6bbbaa4a9d91fa2dbeed97716628fe6"},
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{file = "nvidia_cufile_cu12-1.14.1.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:8dea77590761e02cb6dd955a57cb6414c58aa3cb1b7adbf9919869a11509cf65"},
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|
]
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|
|
|
[[package]]
|
|
name = "nvidia-curand-cu12"
|
|
version = "10.3.10.19"
|
|
description = "CURAND native runtime libraries"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
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|
{file = "nvidia_curand_cu12-10.3.10.19-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:de663377feb1697e1d30ed587b07d5721fdd6d2015c738d7528a6002a6134d37"},
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{file = "nvidia_curand_cu12-10.3.10.19-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:49b274db4780d421bd2ccd362e1415c13887c53c214f0d4b761752b8f9f6aa1e"},
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{file = "nvidia_curand_cu12-10.3.10.19-py3-none-win_amd64.whl", hash = "sha256:e8129e6ac40dc123bd948e33d3e11b4aa617d87a583fa2f21b3210e90c743cde"},
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|
]
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|
|
|
[[package]]
|
|
name = "nvidia-cusolver-cu12"
|
|
version = "11.7.5.82"
|
|
description = "CUDA solver native runtime libraries"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
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{file = "nvidia_cusolver_cu12-11.7.5.82-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:62efa83e4ace59a4c734d052bb72158e888aa7b770e1a5f601682f16fe5b4fd2"},
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{file = "nvidia_cusolver_cu12-11.7.5.82-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:15da72d1340d29b5b3cf3fd100e3cd53421dde36002eda6ed93811af63c40d88"},
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{file = "nvidia_cusolver_cu12-11.7.5.82-py3-none-win_amd64.whl", hash = "sha256:77666337237716783c6269a658dea310195cddbd80a5b2919b1ba8735cec8efd"},
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|
]
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|
|
|
[package.dependencies]
|
|
nvidia-cublas-cu12 = "*"
|
|
nvidia-cusparse-cu12 = "*"
|
|
nvidia-nvjitlink-cu12 = "*"
|
|
|
|
[[package]]
|
|
name = "nvidia-cusparse-cu12"
|
|
version = "12.5.10.65"
|
|
description = "CUSPARSE native runtime libraries"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
|
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{file = "nvidia_cusparse_cu12-12.5.10.65-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:221c73e7482dd93eda44e65ce567c031c07e2f93f6fa0ecd3ba876a195023e83"},
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{file = "nvidia_cusparse_cu12-12.5.10.65-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:73060ce019ac064a057267c585bf1fd5a353734151f87472ff02b2c5c9984e78"},
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{file = "nvidia_cusparse_cu12-12.5.10.65-py3-none-win_amd64.whl", hash = "sha256:9e487468a22a1eaf1fbd1d2035936a905feb79c4ce5c2f67626764ee4f90227c"},
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|
]
|
|
|
|
[package.dependencies]
|
|
nvidia-nvjitlink-cu12 = "*"
|
|
|
|
[[package]]
|
|
name = "nvidia-nccl-cu12"
|
|
version = "2.29.7"
|
|
description = "NVIDIA Collective Communication Library (NCCL) Runtime"
|
|
optional = true
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\""
|
|
files = [
|
|
{file = "nvidia_nccl_cu12-2.29.7-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:0cf032ee22b560447daf0456108a75e32bd74a4de6c6b64725637a359fa48cd8"},
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{file = "nvidia_nccl_cu12-2.29.7-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:ecd0a012051abc20c1aa87328841efa8cade3ced65803046e38c2f03c0891fea"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "nvidia-npp-cu12"
|
|
version = "12.4.1.87"
|
|
description = "NPP native runtime libraries"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
|
|
{file = "nvidia_npp_cu12-12.4.1.87-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:e6680d2a12beca9ce91e61dd2e6121e8e77e820b09c29a419aa36b84aa7fec3a"},
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{file = "nvidia_npp_cu12-12.4.1.87-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:a586435420f08a804ebe83c09f2757d53fdee65364f2129e36d7476ab66c6197"},
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{file = "nvidia_npp_cu12-12.4.1.87-py3-none-win_amd64.whl", hash = "sha256:7c425c400b610eecfb1a08cfc92ecfa4a1927c2ecb691bc26406444c605d30a9"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "nvidia-nvfatbin-cu12"
|
|
version = "12.9.82"
|
|
description = "NVIDIA compiler library for fatbin interaction"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
|
|
{file = "nvidia_nvfatbin_cu12-12.9.82-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:16cbfbd12287508212f22f42dff6ff51cf9b528b906f57f615b080da16dea1ea"},
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{file = "nvidia_nvfatbin_cu12-12.9.82-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:92d516bdb9287970cecbf855a0fd39d09599db806148038e1ed2cf0eaef92af2"},
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{file = "nvidia_nvfatbin_cu12-12.9.82-py3-none-win_amd64.whl", hash = "sha256:b673b13edcecdec18d87e6b1a1dc3d4ec9a6dbd1012ab9dc8df4873bc0595b12"},
|
|
]
|
|
|
|
[[package]]
|
|
name = "nvidia-nvjitlink-cu12"
|
|
version = "12.9.86"
|
|
description = "Nvidia JIT LTO Library"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
|
|
{file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:e3f1171dbdc83c5932a45f0f4c99180a70de9bd2718c1ab77d14104f6d7147f9"},
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{file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:994a05ef08ef4b0b299829cde613a424382aff7efb08a7172c1fa616cc3af2ca"},
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{file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-win_amd64.whl", hash = "sha256:cc6fcec260ca843c10e34c936921a1c426b351753587fdd638e8cff7b16bb9db"},
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|
]
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|
|
|
[[package]]
|
|
name = "nvidia-nvjpeg-cu12"
|
|
version = "12.4.0.76"
|
|
description = "NVJPEG native runtime libraries"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
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{file = "nvidia_nvjpeg_cu12-12.4.0.76-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f52c5ef7cf56e8bffac8903a59f14494017a52e4fe89d5a1d16c1e88d7bbf194"},
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{file = "nvidia_nvjpeg_cu12-12.4.0.76-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3888f10b32fbd58e80166c48e01073732d752fa5f167b7cb5b9615f1c6375a20"},
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{file = "nvidia_nvjpeg_cu12-12.4.0.76-py3-none-win_amd64.whl", hash = "sha256:21923726db667bd53050d0de88320983ff423322b7f376057dd943e487c40abc"},
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|
]
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|
|
|
[[package]]
|
|
name = "nvidia-nvml-dev-cu12"
|
|
version = "12.9.79"
|
|
description = "NVML native dev links, headers"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
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|
{file = "nvidia_nvml_dev_cu12-12.9.79-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:311f14749b67467cd05e8077c961841a05f6d25357d1ce11c20f94950e071f3e"},
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{file = "nvidia_nvml_dev_cu12-12.9.79-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:8bb367913c62cb65be9ae386c58dbf573f1f9e2f01cae54abb87bf5f63c6069e"},
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{file = "nvidia_nvml_dev_cu12-12.9.79-py3-none-win_amd64.whl", hash = "sha256:ff591d178bd6527277e143afe7ab8d94b7535edd6a46746223babff26dd14194"},
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|
]
|
|
|
|
[[package]]
|
|
name = "nvidia-nvtx-cu12"
|
|
version = "12.9.79"
|
|
description = "NVIDIA Tools Extension"
|
|
optional = false
|
|
python-versions = ">=3"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\" and (sys_platform == \"win32\" or sys_platform == \"linux\")"
|
|
files = [
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{file = "nvidia_nvtx_cu12-12.9.79-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:fec150986817f2b4e7eed72ed059f2dcb9ba3856b9a96134e448eac946a6952f"},
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{file = "nvidia_nvtx_cu12-12.9.79-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d1f258e752294acdb4f61c3d31fee87bd0f60e459f1e2f624376369b524cd15d"},
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{file = "nvidia_nvtx_cu12-12.9.79-py3-none-win_amd64.whl", hash = "sha256:1f504e573b3a955e55aae6c747e2ae561b63fdcafcd591e43d18dae9875504f8"},
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]
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|
|
|
[[package]]
|
|
name = "nvmath-python"
|
|
version = "0.6.0"
|
|
description = "NVIDIA Math Python libraries"
|
|
optional = true
|
|
python-versions = "<3.14,>=3.10"
|
|
groups = ["main"]
|
|
markers = "extra == \"cuda\""
|
|
files = [
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|
{file = "nvmath_python-0.6.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:27849b7791394c64b7aec768510e64715cc5bc138498cf35e2db944190931d72"},
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{file = "nvmath_python-0.6.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:3a9385a7eea66cd0a5544331a0212a28ae2841cc957fa44409c5ecdd6683eeee"},
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{file = "nvmath_python-0.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:fd2f557ee2b3b8a741bf3339ec4ce5fa9f668aa83e0ac036e7891626649629d7"},
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{file = "nvmath_python-0.6.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:7117d3dde52401517e71d40c81dc0c21b066beb5878302ce921e04ef2d531bef"},
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{file = "nvmath_python-0.6.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:fd1e4814545e495970342027506382b58fa958624ddf40e4523c9e3a6a91c269"},
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{file = "nvmath_python-0.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:cba4147fecbd568c9acab2d03edb4b8ddf3030b49982c572be478060d06aebf7"},
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[package.dependencies]
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cuda-bindings = "*"
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cuda-core = ">=0.3.2,<0.4"
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cuda-pathfinder = ">=1.2.1,<2.0"
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numpy = ">=1.25,<3"
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pywin32 = {version = "*", markers = "platform_system == \"Windows\""}
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[package.extras]
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cpu = ["cuda-core (>=0.3.2,<0.4)", "mkl ; platform_machine == \"x86_64\"", "nvpl-fft (>=0.3,<1.0) ; platform_system == \"Linux\" and platform_machine == \"aarch64\""]
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cu11 = ["cuda-bindings (>=11.8.7,<12)", "cuda-core[cu11] (==0.3.2)", "cupy-cuda11x", "nvidia-cublas-cu11", "nvidia-cuda-nvrtc-cu11", "nvidia-cufft-cu11", "nvidia-curand-cu11", "nvidia-cusolver-cu11", "nvidia-cusparse-cu11"]
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cu12 = ["cuda-bindings (>=12.9.1,<13)", "cuda-core[cu12] (>=0.3.2,<0.4)", "cupy-cuda12x", "nvidia-cublas-cu12", "nvidia-cuda-nvrtc-cu12", "nvidia-cuda-runtime-cu12", "nvidia-cudss-cu12 (==0.5.0.16)", "nvidia-cufft-cu12", "nvidia-curand-cu12", "nvidia-cusolver-cu12", "nvidia-cusparse-cu12"]
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cu12-distributed = ["cuda-bindings (>=12.9.1,<13)", "cuda-core[cu12] (>=0.3.2,<0.4)", "cupy-cuda12x", "mpi4py", "nvidia-cublas-cu12", "nvidia-cublasmp-cu12 (>=0.4.0)", "nvidia-cuda-nvrtc-cu12", "nvidia-cuda-runtime-cu12", "nvidia-cudss-cu12 (==0.5.0.16)", "nvidia-cufft-cu12", "nvidia-cufftmp-cu12", "nvidia-curand-cu12", "nvidia-cusolver-cu12", "nvidia-cusparse-cu12", "nvidia-nvshmem-cu12 (>=3.2.5)"]
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dx = ["cuda-bindings (>=12.9.1,<13)", "cuda-core[cu12] (>=0.3.2,<0.4)", "cupy-cuda12x", "numba", "numba-cuda (>=0.18.1)", "nvidia-cuda-cccl-cu12 (>12.4.127)", "nvidia-cuda-nvcc-cu12", "nvidia-cuda-nvrtc-cu12 (<12.4.dev0 || >12.5.0)", "nvidia-libmathdx-cu12 (>=0.2.3,<0.3)"]
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sysctk11 = ["cuda-bindings (>=11.8.7,<12)", "cuda-core (==0.3.2)", "cupy-cuda11x"]
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sysctk12 = ["cuda-bindings (>=12.9.1,<13)", "cuda-core (>=0.3.2,<0.4)", "cupy-cuda12x"]
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sysctk12-dx = ["cuda-bindings (>=12.9.1,<13)", "cuda-core (>=0.3.2,<0.4)", "cupy-cuda12x", "numba", "numba-cuda (>=0.18.1)"]
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[[package]]
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name = "openqasm3"
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version = "1.0.1"
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description = "Reference OpenQASM AST in Python"
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|
optional = false
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python-versions = "*"
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groups = ["main"]
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files = [
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[package.dependencies]
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antlr4_python3_runtime = {version = ">=4.7,<4.14", optional = true, markers = "extra == \"parser\""}
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[package.extras]
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all = ["antlr4_python3_runtime (>=4.7,<4.14)", "importlib_metadata ; python_version < \"3.10\"", "pytest (>=6.0)", "pyyaml"]
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parser = ["antlr4_python3_runtime (>=4.7,<4.14)", "importlib_metadata ; python_version < \"3.10\""]
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tests = ["pytest (>=6.0)", "pyyaml"]
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[[package]]
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name = "optuna"
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version = "4.8.0"
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description = "A hyperparameter optimization framework"
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optional = false
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python-versions = ">=3.9"
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groups = ["main"]
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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 = ">=1.4.2"
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tqdm = "*"
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[package.extras]
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checking = ["mypy", "mypy_boto3_s3", "ruff", "scipy-stubs ; python_version >= \"3.10\"", "types-PyYAML", "types-redis", "types-setuptools", "types-tqdm", "typing_extensions (>=3.10.0.0)"]
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document = ["ase", "cmaes (>=0.12.0)", "fvcore", "kaleido (<0.4)", "lightgbm", "matplotlib (!=3.6.0)", "pandas", "pillow", "plotly (>=4.9.0)", "scikit-learn", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-notfound-page", "sphinx_rtd_theme (>=1.2.0)", "torch", "torchvision"]
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optional = ["boto3", "cmaes (>=0.12.0)", "google-cloud-storage", "greenlet", "grpcio", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "protobuf (>=5.28.1)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch"]
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test = ["fakeredis[lua]", "greenlet", "grpcio", "kaleido (<0.4)", "moto", "protobuf (>=5.28.1)", "pytest", "pytest-xdist", "scipy (>=1.9.2)", "torch"]
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[[package]]
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name = "packaging"
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version = "26.0"
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description = "Core utilities for Python packages"
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optional = false
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python-versions = ">=3.8"
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name = "parso"
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version = "0.8.6"
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description = "A Python Parser"
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optional = false
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python-versions = ">=3.6"
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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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markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
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ptyprocess = ">=0.5"
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name = "pillow"
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version = "12.2.0"
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typing-extensions = ">=4.6.0"
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[package.extras]
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aiomysql = ["aiomysql (>=0.2.0)", "greenlet (>=1)"]
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aioodbc = ["aioodbc", "greenlet (>=1)"]
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aiosqlite = ["aiosqlite", "greenlet (>=1)", "typing_extensions (!=3.10.0.1)"]
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asyncio = ["greenlet (>=1)"]
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asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (>=1)"]
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mypy = ["mypy (>=0.910)"]
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mysql = ["mysqlclient (>=1.4.0)"]
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mysql-connector = ["mysql-connector-python"]
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oracle = ["cx_oracle (>=8)"]
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postgresql = ["psycopg2 (>=2.7)"]
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postgresql-asyncpg = ["asyncpg", "greenlet (>=1)"]
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