From 04297c3e8b95d682a3694f5fee9b3a351b14531b Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 02:43:54 +0000 Subject: [PATCH] Bump matplotlib from 3.10.9 to 3.11.0 Bumps [matplotlib](https://github.com/matplotlib/matplotlib) from 3.10.9 to 3.11.0. - [Release notes](https://github.com/matplotlib/matplotlib/releases) - [Commits](https://github.com/matplotlib/matplotlib/compare/v3.10.9...v3.11.0) --- updated-dependencies: - dependency-name: matplotlib dependency-version: 3.11.0 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] --- poetry.lock | 184 ++++++++++++++++++++++++---------------------------- 1 file changed, 86 insertions(+), 98 deletions(-) diff --git a/poetry.lock b/poetry.lock index 089508cec..45f597d72 100644 --- a/poetry.lock +++ b/poetry.lock @@ -207,7 +207,7 @@ description = "Efficiently computes derivatives of NumPy code." optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"jax-support\" or extra == \"all-support\"" +markers = "extra == \"all-support\" or extra == \"jax-support\"" files = [ {file = "autograd-1.8.0-py3-none-any.whl", hash = "sha256:4ab9084294f814cf56c280adbe19612546a35574d67c574b04933c7d2ecb7d78"}, {file = "autograd-1.8.0.tar.gz", hash = "sha256:107374ded5b09fc8643ac925348c0369e7b0e73bbed9565ffd61b8fd04425683"}, @@ -471,7 +471,7 @@ files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = 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">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and (sys_platform == \"linux\" or sys_platform == \"win32\") and (extra == \"pytorch-support\" or extra == \"all-support\")" +markers = "platform_system == \"Linux\" and (sys_platform == \"linux\" or sys_platform == \"win32\") and (extra == \"all-support\" or extra == \"pytorch-support\")" 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"}, @@ -2034,7 +2022,7 @@ description = "CUDA solver native runtime libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and (sys_platform == \"linux\" or sys_platform == \"win32\") and (extra == \"pytorch-support\" or extra == \"all-support\")" +markers = "platform_system == \"Linux\" and (sys_platform == \"linux\" or sys_platform == \"win32\") and (extra == \"all-support\" or extra == \"pytorch-support\")" 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"}, @@ -2053,7 +2041,7 @@ description = "CUSPARSE native runtime libraries" optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and (sys_platform == \"linux\" or sys_platform == \"win32\") and (extra == \"pytorch-support\" or extra == \"all-support\")" +markers = "platform_system == \"Linux\" and (sys_platform == \"linux\" or sys_platform == \"win32\") and (extra == \"all-support\" or extra == \"pytorch-support\")" 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"}, @@ -2070,7 +2058,7 @@ description = "NVIDIA cuSPARSELt" optional = true python-versions = "*" 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 = "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"}, @@ -2084,7 +2072,7 @@ description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = true python-versions = ">=3" 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 = "nvidia_nccl_cu13-2.29.7-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:674a12383e3c38a1bcccae7d4f3633b37852230b6047883cb2f4c2d1b36d9bf5"}, {file = "nvidia_nccl_cu13-2.29.7-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:edd81538446786ec3b73972543e53bb43bcaf0bfc8ef76cb679fcc390ffe136d"}, @@ -2097,7 +2085,7 @@ description = "Nvidia JIT LTO Library" optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and (sys_platform == \"linux\" or sys_platform == \"win32\") and (extra == \"pytorch-support\" or extra == \"all-support\")" +markers = "platform_system == \"Linux\" and (sys_platform == \"linux\" or sys_platform == \"win32\") and (extra == \"all-support\" or extra == \"pytorch-support\")" 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"}, @@ -2111,7 +2099,7 @@ description = "NVSHMEM creates a global address space that provides efficient an optional = true python-versions = ">=3" 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 = "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"}, @@ -2124,7 +2112,7 @@ description = "NVIDIA Tools Extension" optional = true python-versions = ">=3" groups = ["main"] -markers = "platform_system == \"Linux\" and (sys_platform == \"linux\" or sys_platform == \"win32\") and (extra == \"pytorch-support\" or extra == \"all-support\")" +markers = "platform_system == \"Linux\" and (sys_platform == \"linux\" or sys_platform == \"win32\") and (extra == \"all-support\" or extra == \"pytorch-support\")" 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"}, @@ -2138,7 +2126,7 @@ 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"}, @@ -2957,7 +2945,7 @@ description = "Easily download, build, install, upgrade, and uninstall Python pa 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 = "setuptools-81.0.0-py3-none-any.whl", hash = "sha256:fdd925d5c5d9f62e4b74b30d6dd7828ce236fd6ed998a08d81de62ce5a6310d6"}, {file = "setuptools-81.0.0.tar.gz", hash = "sha256:487b53915f52501f0a79ccfd0c02c165ffe06631443a886740b91af4b7a5845a"}, @@ -3065,7 +3053,7 @@ 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"}, @@ -3099,7 +3087,7 @@ 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-2.12.0-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:1834bd984f8a2f4f16bdfbeecca9146184b220aa46276bf5756735b5dae12812"}, {file = "torch-2.12.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:d4d029801cb7b6df858804a2a21b00cc2aa0bf0ee5d2ab18d343c9e9e5681f35"}, @@ -3182,7 +3170,7 @@ 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-3.7.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:223ac302091491436c248a34ee1e6c47a1026486579103c906ffd805be50cb89"}, {file = "triton-3.7.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c631b65668d4951213b948a413c0564184305b77bb45cc9d686d3e1ecc4701a3"}, @@ -3212,7 +3200,7 @@ 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-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"},