diff --git a/poetry.lock b/poetry.lock index 08b06bcd5..022e00f62 100644 --- a/poetry.lock +++ b/poetry.lock @@ -205,7 +205,7 @@ description = "Efficiently computes derivatives of NumPy code." optional = true python-versions = ">=3.10" groups = ["main"] -markers = "extra == \"jax-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"jax-support\"" files = [ {file = "autograd-1.9.1-py3-none-any.whl", hash = "sha256:b788bae3fa010cbffb4cfb7b8ba2a3f0daa6072a8506da6164c779fe9cf3e05a"}, {file = "autograd-1.9.1.tar.gz", hash = "sha256:7818c5c69ddf9efb7da74097bd741a4c7920133f41966f68537223a15ef798bc"}, @@ -749,7 +749,7 @@ description = "Python bindings for CUDA" optional = true python-versions = ">=3.10" groups = ["main"] -markers = "platform_system == \"Linux\" and (extra == \"pytorch-support\" or extra == \"all-support\")" +markers = "platform_system == \"Linux\" and (extra == \"all-support\" or extra == \"pytorch-support\")" files = [ {file = "cuda_bindings-13.2.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:08b395f79cb89ce0cd8effff07c4a1e20101b873c256a1aeb286e8fd7bd0f556"}, {file = "cuda_bindings-13.2.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6f3682ec3c4769326aafc67c2ba669d97d688d0b7e63e659d36d2f8b72f32d6"}, @@ -784,7 +784,7 @@ description = "Pathfinder for CUDA components" optional = true python-versions = ">=3.10" groups = ["main"] -markers = "platform_system == \"Linux\" and (extra == \"pytorch-support\" or extra == \"all-support\")" +markers = "platform_system == \"Linux\" and (extra == \"all-support\" or extra == \"pytorch-support\")" files = [ {file = "cuda_pathfinder-1.5.4-py3-none-any.whl", hash = "sha256:9563d3175ce1828531acf4b94e1c1c7d67208c347ca002493e2654878b26f4b7"}, ] @@ -796,7 +796,7 @@ description = "CUDA Toolkit meta-package" optional = true python-versions = "*" groups = ["main"] -markers = "(extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\"" +markers = "(extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\"" files = [ {file = "cuda_toolkit-13.0.3.0-py2.py3-none-any.whl", hash = "sha256:d693caaa261214ddd7dbb60d68e71cbed884e68c2be7509778f3051da0b91c3f"}, ] @@ -899,7 +899,7 @@ files = [ {file = "filelock-4.2.4-py3-none-any.whl", hash = "sha256:301241438c57936ef93f4243a94f2559022268bfcf9b375a9a72eb0f8db8358e"}, {file = "filelock-4.2.4.tar.gz", hash = "sha256:c6d8663535e1650ee430507b4ffbac7b464dd64b7647ea0112a9f406499d163d"}, ] -markers = {main = "extra == \"pytorch-support\" or extra == \"all-support\""} +markers = {main = "extra == \"all-support\" or extra == \"pytorch-support\""} [[package]] name = "fonttools" @@ -989,7 +989,7 @@ description = "File-system specification" optional = true python-versions = ">=3.10" groups = ["main"] -markers = "extra == \"pytorch-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"pytorch-support\"" files = [ {file = "fsspec-2026.9.0-py3-none-any.whl", hash = "sha256:8dd6e646e99ea382bd85f97a45e6b526a442d79423a7dc673f1e2756d05fcb5f"}, {file = "fsspec-2026.9.0.tar.gz", hash = "sha256:0f08147951c8cb31d844c3547d631053b127863b60be04cf06e121333ee0e2fe"}, @@ -1063,7 +1063,7 @@ description = "Healpix tools package for Python" optional = true python-versions = ">=3.10" groups = ["main"] -markers = "extra == \"healpy-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"healpy-support\"" files = [ {file = "healpy-1.20.1-cp310-cp310-macosx_13_0_x86_64.whl", hash = "sha256:57a15a3b026eb7b1fc700894c35e504904a888b8686f702140e53bc867e53fa6"}, {file = "healpy-1.20.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:2be3b9c59e30c89e239eae6025814dfa574eef53b871993b0a58e0b9ca2313ee"}, @@ -1185,7 +1185,7 @@ description = "Differentiate, compile, and transform Numpy code." optional = true python-versions = ">=3.11" groups = ["main"] -markers = "extra == \"jax-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"jax-support\"" files = [ {file = "jax-0.10.2-py3-none-any.whl", hash = "sha256:724d73c4678d8b06f6a6ab4db1b8a2fea8cd4f1e2c2564f99601634ec7b8d1c6"}, {file = "jax-0.10.2.tar.gz", hash = "sha256:bf77428a8c2e6904c4f46d5ab12aa5cfc6cad2179f07f7e4c0fc75ac86ef0639"}, @@ -1218,7 +1218,7 @@ description = "XLA library for JAX" optional = true python-versions = ">=3.11" groups = ["main"] -markers = "extra == \"jax-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"jax-support\"" files = [ {file = "jaxlib-0.10.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5a98873fc867623b81f2bee15d554b8edd6588a183d01fa50d21b1e3db96ff2b"}, {file = "jaxlib-0.10.2-cp311-cp311-manylinux_2_27_aarch64.whl", hash = "sha256:d44565dcfd1b4f60f76d911c6512118a8a4fc764bdef92663fecb8bfccd54f23"}, @@ -1260,7 +1260,7 @@ files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, ] -markers = {main = "extra == \"pytorch-support\" or extra == \"all-support\""} +markers = {main = "extra == \"all-support\" or extra == \"pytorch-support\""} [package.dependencies] MarkupSafe = ">=2.0" @@ -1607,7 +1607,7 @@ files = [ {file = "markupsafe-3.0.4-cp39-cp39-win_arm64.whl", hash = "sha256:6669c1bf34080161ce49c589cc512ef24d4c704ac9d2b2d3667f519c60418378"}, {file = "markupsafe-3.0.4.tar.gz", hash = "sha256:2e9ad7dd851bf45fab9f75cbff4cb493fee9979e8d8c7c9c3ee119022518edd6"}, ] -markers = {main = "extra == \"pytorch-support\" or extra == \"all-support\""} +markers = {main = "extra == \"all-support\" or extra == \"pytorch-support\""} [[package]] name = "matplotlib" @@ -1810,7 +1810,7 @@ description = "ml_dtypes is a stand-alone implementation of several NumPy dtype optional = true python-versions = ">=3.10" groups = ["main"] -markers = "extra == \"jax-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"jax-support\"" files = [ {file = "ml_dtypes-0.6.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:bad8d1dd5bed060a29332b99d63d0e5c2969081e1c6ea54adfbccfdfa783be44"}, {file = "ml_dtypes-0.6.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:008382aeab529df5d3f00501ad9a7dcd64494d4b5b1971fc4c79019e6c1f5010"}, @@ -1866,21 +1866,24 @@ dev = ["absl-py", "pyink", "pylint (>=2.6.0)", "pytest", "pytest-xdist"] [[package]] name = "mpmath" -version = "1.3.0" +version = "1.4.1" description = "Python library for arbitrary-precision floating-point arithmetic" optional = false -python-versions = "*" +python-versions = ">=3.9" groups = ["main"] files = [ - {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, - {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, + {file = "mpmath-1.4.1-py3-none-any.whl", hash = "sha256:dc4f0ea2304480d4a9a48a94c1020571558ade522b44a6912efac63a586e140f"}, + {file = "mpmath-1.4.1.tar.gz", hash = "sha256:efd6d1b75f09d69524a67609949812668b28e81ecbfe0ab449ced8c13e92642e"}, ] [package.extras] -develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"] -docs = ["sphinx"] -gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""] -tests = ["pytest (>=4.6)"] +ci = ["diff_cover", "pytest-xdist"] +develop = ["build", "flake518 (>=1.5)", "mpmath[tests]", "pytest-cov (>=7)", "wheel"] +docs = ["matplotlib", "sphinx", "sphinxcontrib-autoprogram"] +gmp = ["python-gmp"] +gmpy = ["mpmath[gmpy2]"] +gmpy2 = ["gmpy2 (>=2.3)"] +tests = ["hypothesis", "ipython", "matplotlib", "numpy", "packaging", "pexpect", "pytest (>=6)", "pytest-timeout"] [[package]] name = "networkx" @@ -1889,7 +1892,7 @@ description = "Python package for creating and manipulating graphs and networks" optional = true python-versions = ">=3.11" groups = ["main"] -markers = "python_version == \"3.14\" and (extra == \"pytorch-support\" or extra == \"all-support\")" +markers = "python_version == \"3.14\" and (extra == \"all-support\" or extra == \"pytorch-support\")" files = [ {file = "networkx-3.6-py3-none-any.whl", hash = "sha256:cdb395b105806062473d3be36458d8f1459a4e4b98e236a66c3a48996e07684f"}, {file = "networkx-3.6.tar.gz", hash = "sha256:285276002ad1f7f7da0f7b42f004bcba70d381e936559166363707fdad3d72ad"}, @@ -1913,7 +1916,7 @@ description = "Python package for creating and manipulating graphs and networks" optional = true python-versions = "!=3.14.1,>=3.11" groups = ["main"] -markers = "python_version <= \"3.13\" and (extra == \"pytorch-support\" or extra == \"all-support\")" +markers = "python_version <= \"3.13\" and (extra == \"all-support\" or extra == \"pytorch-support\")" files = [ {file = "networkx-3.6.1-py3-none-any.whl", hash = "sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762"}, {file = "networkx-3.6.1.tar.gz", hash = "sha256:26b7c357accc0c8cde558ad486283728b65b6a95d85ee1cd66bafab4c8168509"}, @@ -2048,7 +2051,7 @@ description = "CUBLAS native runtime libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "(extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\"" +markers = "(extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\"" files = [ {file = "nvidia_cublas-13.1.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b7a210458267ac818974c53038fbec2e969d5c99f305ab15c72522fa9f001dd5"}, {file = "nvidia_cublas-13.1.1.3-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:37936a16db8fe4ac1f065c2139360608a543a09275cb1a1af612e08cfa065436"}, @@ -2065,7 +2068,7 @@ description = "CUDA profiling tools runtime libs." optional = true python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" +markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" files = [ {file = "nvidia_cuda_cupti-13.0.85-py3-none-manylinux_2_25_aarch64.whl", hash = "sha256:796bd679890ee55fb14a94629b698b6db54bcfd833d391d5e94017dd9d7d3151"}, {file = "nvidia_cuda_cupti-13.0.85-py3-none-manylinux_2_25_x86_64.whl", hash = "sha256:4eb01c08e859bf924d222250d2e8f8b8ff6d3db4721288cf35d14252a4d933c8"}, @@ -2079,7 +2082,7 @@ description = "NVRTC native runtime libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "(extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\"" +markers = "(extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\"" files = [ {file = "nvidia_cuda_nvrtc-13.0.88-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:ad9b6d2ead2435f11cbb6868809d2adeeee302e9bb94bcf0539c7a40d80e8575"}, {file = "nvidia_cuda_nvrtc-13.0.88-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d27f20a0ca67a4bb34268a5e951033496c5b74870b868bacd046b1b8e0c3267b"}, @@ -2093,7 +2096,7 @@ description = "CUDA Runtime native Libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" +markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" files = [ {file = "nvidia_cuda_runtime-13.0.96-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ef9bcbe90493a2b9d810e43d249adb3d02e98dd30200d86607d8d02687c43f55"}, {file = "nvidia_cuda_runtime-13.0.96-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7f82250d7782aa23b6cfe765ecc7db554bd3c2870c43f3d1821f1d18aebf0548"}, @@ -2107,7 +2110,7 @@ description = "cuDNN runtime libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "(extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\"" +markers = "(extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\"" files = [ {file = "nvidia_cudnn_cu13-9.24.0.43-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:a6812a554a1ff0413e9c52b84c26c050380649ab9615f9c16bded368ce9f421f"}, {file = "nvidia_cudnn_cu13-9.24.0.43-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:71f181cd810e90f9b6023b01186fe82d13d65f0ec098581ee201d39fad769e4b"}, @@ -2124,7 +2127,7 @@ description = "CUFFT native runtime libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" +markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" files = [ {file = "nvidia_cufft-12.0.0.61-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2708c852ef8cd89d1d2068bdbece0aa188813a0c934db3779b9b1faa8442e5f5"}, {file = "nvidia_cufft-12.0.0.61-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6c44f692dce8fd5ffd3e3df134b6cdb9c2f72d99cf40b62c32dde45eea9ddad3"}, @@ -2141,7 +2144,7 @@ description = "cuFile GPUDirect libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "sys_platform == \"linux\" and (extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" +markers = "sys_platform == \"linux\" and (extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" files = [ {file = "nvidia_cufile-1.15.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08a3ecefae5a01c7f5117351c64f17c7c62efa5fffdbe24fc7d298da19cd0b44"}, {file = "nvidia_cufile-1.15.1.6-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:bdc0deedc61f548bddf7733bdc216456c2fdb101d020e1ab4b88d232d5e2f6d1"}, @@ -2154,7 +2157,7 @@ description = "CURAND native runtime libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" +markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" files = [ {file = "nvidia_curand-10.4.0.35-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:133df5a7509c3e292aaa2b477afd0194f06ce4ea24d714d616ff36439cee349a"}, {file = "nvidia_curand-10.4.0.35-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:1aee33a5da6e1db083fe2b90082def8915f30f3248d5896bcec36a579d941bfc"}, @@ -2168,7 +2171,7 @@ description = "CUDA solver native runtime libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" +markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" files = [ {file = "nvidia_cusolver-12.0.4.66-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:02c2457eaa9e39de20f880f4bd8820e6a1cfb9f9a34f820eb12a155aa5bc92d2"}, {file = "nvidia_cusolver-12.0.4.66-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:0a759da5dea5c0ea10fd307de75cdeb59e7ea4fcb8add0924859b944babf1112"}, @@ -2187,7 +2190,7 @@ description = "CUSPARSE native runtime libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" +markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" files = [ {file = "nvidia_cusparse-12.6.3.3-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:80bcc4662f23f1054ee334a15c72b8940402975e0eab63178fc7e670aa59472c"}, {file = "nvidia_cusparse-12.6.3.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:2b3c89c88d01ee0e477cb7f82ef60a11a4bcd57b6b87c33f789350b59759360b"}, @@ -2204,7 +2207,7 @@ description = "NVIDIA cuSPARSELt" optional = true python-versions = "*" groups = ["main"] -markers = "(extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\"" +markers = "(extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\"" files = [ {file = "nvidia_cusparselt_cu13-0.8.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4dca476c50bf4780d46cd0bfbd82e2bc10a08e4fef7950917ce8d7578d22a23f"}, {file = "nvidia_cusparselt_cu13-0.8.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:786ce87568c303fadb5afcc7102d454cd3040d75f6f8626f5db460d1871f4dd0"}, @@ -2218,7 +2221,7 @@ description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = true python-versions = ">=3" groups = ["main"] -markers = "(extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\"" +markers = "(extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\"" files = [ {file = "nvidia_nccl_cu13-2.30.7-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:ca786ffa5a647c75d4d1f5cc72a6c4f537947e2ba8823d7c8aaf768e7a7b9f77"}, {file = "nvidia_nccl_cu13-2.30.7-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:cefa7fdb9710efd0f39c5f1be1d61ff6fc9a996c451265bd7fbdcf9455ed4b50"}, @@ -2231,7 +2234,7 @@ description = "Nvidia JIT LTO Library" optional = true python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" +markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" files = [ {file = "nvidia_nvjitlink-13.0.88-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:13a74f429e23b921c1109976abefacc69835f2f433ebd323d3946e11d804e47b"}, {file = "nvidia_nvjitlink-13.0.88-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e931536ccc7d467a98ba1d8b89ff7fa7f1fa3b13f2b0069118cd7f47bff07d0c"}, @@ -2245,7 +2248,7 @@ description = "NVSHMEM creates a global address space that provides efficient an optional = true python-versions = ">=3" groups = ["main"] -markers = "(extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\"" +markers = "(extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\"" files = [ {file = "nvidia_nvshmem_cu13-3.4.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6dc2a197f38e5d0376ad52cd1a2a3617d3cdc150fd5966f4aee9bcebb1d68fe9"}, {file = "nvidia_nvshmem_cu13-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:290f0a2ee94c9f3687a02502f3b9299a9f9fe826e6d0287ee18482e78d495b80"}, @@ -2258,7 +2261,7 @@ description = "NVIDIA Tools Extension" optional = true python-versions = ">=3" groups = ["main"] -markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"pytorch-support\" or extra == \"all-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" +markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and (sys_platform == \"linux\" or platform_machine == \"x86_64\") and (extra == \"all-support\" or extra == \"pytorch-support\") and platform_system == \"Linux\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\")" files = [ {file = "nvidia_nvtx-13.0.85-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:4936d1d6780fbe68db454f5e72a42ff64d1fd6397df9f363ae786930fd5c1cd4"}, {file = "nvidia_nvtx-13.0.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cb7780edb6b14107373c835bf8b72e7a178bac7367e23da7acb108f973f157a6"}, @@ -2272,7 +2275,7 @@ description = "Path optimization of einsum functions." optional = true python-versions = ">=3.8" groups = ["main"] -markers = "extra == \"jax-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"jax-support\"" files = [ {file = "opt_einsum-3.4.0-py3-none-any.whl", hash = "sha256:69bb92469f86a1565195ece4ac0323943e83477171b91d24c35afe028a90d7cd"}, {file = "opt_einsum-3.4.0.tar.gz", hash = "sha256:96ca72f1b886d148241348783498194c577fa30a8faac108586b14f1ba4473ac"}, @@ -3089,7 +3092,7 @@ description = "Most extensible Python build backend with support for C/C++ exten optional = true python-versions = ">=3.10" groups = ["main"] -markers = "extra == \"pytorch-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"pytorch-support\"" files = [ {file = "setuptools-84.2.1-py3-none-any.whl", hash = "sha256:ca140b45d5325a9478f880e351484f62fef15f336462e449ca0c03c873d589c2"}, {file = "setuptools-84.2.1.tar.gz", hash = "sha256:3ff8b3b5492a0aa66960f4419365a86b84e013070d4313e4d4a6894f5d64d6bc"}, @@ -3195,19 +3198,19 @@ files = [ [[package]] name = "sympy" -version = "1.14.0" +version = "1.14.0rc1" description = "Computer algebra system (CAS) in Python" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"pytorch-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"pytorch-support\"" files = [ - {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, - {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, + {file = "sympy-1.14.0rc1-py3-none-any.whl", hash = "sha256:e6dae8bb9a8f3aedd4dd4af9d2b51f6be00641d577dcce32ed6e0c25b1dcfcc1"}, + {file = "sympy-1.14.0rc1.tar.gz", hash = "sha256:c0de81525d0fe6f4c1ef41a5519229e1d7b36cdc94de716527aca8cadaf21dde"}, ] [package.dependencies] -mpmath = ">=1.1.0,<1.4" +mpmath = ">=1.1.0" [package.extras] dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"] @@ -3234,7 +3237,7 @@ description = "Tensors and Dynamic neural networks in Python with strong GPU acc optional = true python-versions = ">=3.10" groups = ["main"] -markers = "extra == \"pytorch-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"pytorch-support\"" files = [ {file = "torch-2.14.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:e24b9815001d18e73e76eae1ea25f8ef908c6103e857378ad20f8f6cf5c954f5"}, {file = "torch-2.14.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:957df236525bcd940ccd9ca59074e9821182171253417c0d98e7b82647254799"}, @@ -3311,7 +3314,7 @@ description = "A language and compiler for custom Deep Learning operations" optional = true python-versions = "<3.15,>=3.10" groups = ["main"] -markers = "platform_system == \"Linux\" and (extra == \"pytorch-support\" or extra == \"all-support\")" +markers = "platform_system == \"Linux\" and (extra == \"all-support\" or extra == \"pytorch-support\")" files = [ {file = "triton-3.8.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:398f4b009c7ab08ed9aeb1d1282dee822945b53f399a5e12a4fecb643cf2007d"}, {file = "triton-3.8.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6d914c52f89dc942b1819db959e7c07a5999f678ec760f677625c706b7e0d743"}, @@ -3334,7 +3337,7 @@ description = "Backported and Experimental Type Hints for Python 3.9+" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"pytorch-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"pytorch-support\"" files = [ {file = "typing_extensions-4.16.0-py3-none-any.whl", hash = "sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8"}, {file = "typing_extensions-4.16.0.tar.gz", hash = "sha256:dc983d19a509c94dba722ee6abd33940f7c05a89e243c47e907eb4db6f1a43e5"}, @@ -3488,4 +3491,4 @@ pytorch-support = ["torch"] [metadata] lock-version = "2.1" python-versions = ">=3.11,<3.15" -content-hash = "7b78af894148f73e560064632baa9b03d8ba07493b0e5f26bb1450f9097514d5" +content-hash = "0ec10ef0a1fb2c6deac42908b68e292391242a1de67b66b5d4153f50db6a36b4" diff --git a/pyproject.toml b/pyproject.toml index 07a305f6b..cb4bf59c7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,7 +42,7 @@ python = ">=3.11,<3.15" numpy = ">=2.0,<2.5" scipy = ">=1.14,<1.18" matplotlib = ">=3.8,<4.0" -mpmath = ">=1.3,<1.4" +mpmath = ">=1.3,<1.5" pyshtools = ">=4.12,<5.0" beartype = ">=0.18,<0.24" shapely = ">=2.0,<3.0"