From 62f666595bf86f072768c06979e7b82071bbc3bf Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 12 Aug 2024 21:17:03 +0000 Subject: [PATCH] Bump lightning from 2.3.3 to 2.4.0 Bumps [lightning](https://github.com/Lightning-AI/lightning) from 2.3.3 to 2.4.0. - [Release notes](https://github.com/Lightning-AI/lightning/releases) - [Commits](https://github.com/Lightning-AI/lightning/compare/2.3.3...2.4.0) --- updated-dependencies: - dependency-name: lightning dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] --- poetry.lock | 50 +++++++++++++++++++++----------------------------- 1 file changed, 21 insertions(+), 29 deletions(-) diff --git a/poetry.lock b/poetry.lock index 82134cc..f631d30 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "absl-py" @@ -1613,48 +1613,45 @@ test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"] [[package]] name = "lightning" -version = "2.3.3" +version = "2.4.0" description = "The Deep Learning framework to train, deploy, and ship AI products Lightning fast." optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "lightning-2.3.3-py3-none-any.whl", hash = "sha256:5b4950f20b5117f30aad7820709cfa56669567cf4ded93df502b3dee443a6a5d"}, - {file = "lightning-2.3.3.tar.gz", hash = "sha256:7f454711895c1c6e455766f01fa39522e25e5ab54c15c5e5fbad342fa92bc93c"}, + {file = "lightning-2.4.0-py3-none-any.whl", hash = "sha256:560163af9711cf59055c448232c473150a299089efce0d2be3cc3288082d8768"}, + {file = "lightning-2.4.0.tar.gz", hash = "sha256:9156604cc56e4b2b603f34fa7f0fe5107375c8e6d85e74544b319a15faa9ed0e"}, ] [package.dependencies] fsspec = {version = ">=2022.5.0,<2026.0", extras = ["http"]} lightning-utilities = ">=0.10.0,<2.0" -numpy = ">=1.17.2,<3.0" packaging = ">=20.0,<25.0" pytorch-lightning = "*" PyYAML = ">=5.4,<8.0" -torch = ">=2.0.0,<4.0" +torch = ">=2.1.0,<4.0" torchmetrics = ">=0.7.0,<3.0" tqdm = ">=4.57.0,<6.0" typing-extensions = ">=4.4.0,<6.0" [package.extras] -all = ["bitsandbytes (>=0.42.0,<1.0)", "deepspeed (>=0.8.2,<=0.9.3)", "hydra-core (>=1.2.0,<2.0)", "ipython[all] (<9.0)", "jsonargparse[signatures] (>=4.27.7,<5.0)", "lightning-utilities (>=0.8.0,<1.0)", "matplotlib (>3.1,<4.0)", "omegaconf (>=2.2.3,<3.0)", "requests (<3.0)", "rich (>=12.3.0,<14.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.15.0,<1.0)"] -app = ["lightning-app (>=2.3.3,<3.0)"] +all = ["bitsandbytes (>=0.42.0,<1.0)", "deepspeed (>=0.8.2,<=0.9.3)", "hydra-core (>=1.2.0,<2.0)", "ipython[all] (<9.0)", "jsonargparse[signatures] (>=4.27.7,<5.0)", "lightning-utilities (>=0.8.0,<1.0)", "matplotlib (>3.1,<4.0)", "omegaconf (>=2.2.3,<3.0)", "requests (<3.0)", "rich (>=12.3.0,<14.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.16.0,<1.0)"] data = ["litdata (>=0.2.0rc,<1.0)"] -dev = ["bitsandbytes (>=0.42.0,<1.0)", "click (==8.1.7)", "cloudpickle (>=1.3,<3.0)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "fastapi", "hydra-core (>=1.2.0,<2.0)", "ipython[all] (<9.0)", "jsonargparse[signatures] (>=4.27.7,<5.0)", "lightning-utilities (>=0.8.0,<1.0)", "matplotlib (>3.1,<4.0)", "omegaconf (>=2.2.3,<3.0)", "onnx (>=0.14.0,<2.0)", "onnxruntime (>=0.15.0,<2.0)", "pandas (>1.0,<3.0)", "psutil (<6.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<3.0)", "rich (>=12.3.0,<14.0)", "scikit-learn (>0.22.1,<2.0)", "tensorboard (>=2.9.1,<3.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchmetrics (>=0.7.0,<2.0)", "torchvision (>=0.15.0,<1.0)", "uvicorn"] -examples = ["ipython[all] (<9.0)", "lightning-utilities (>=0.8.0,<1.0)", "requests (<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.15.0,<1.0)"] +dev = ["bitsandbytes (>=0.42.0,<1.0)", "click (==8.1.7)", "cloudpickle (>=1.3,<3.0)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "fastapi", "hydra-core (>=1.2.0,<2.0)", "ipython[all] (<9.0)", "jsonargparse[signatures] (>=4.27.7,<5.0)", "lightning-utilities (>=0.8.0,<1.0)", "matplotlib (>3.1,<4.0)", "numpy (>=1.17.2,<2.0)", "omegaconf (>=2.2.3,<3.0)", "onnx (>=1.12.0,<2.0)", "onnxruntime (>=1.12.0,<2.0)", "pandas (>1.0,<3.0)", "psutil (<6.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<3.0)", "rich (>=12.3.0,<14.0)", "scikit-learn (>0.22.1,<2.0)", "tensorboard (>=2.9.1,<3.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchmetrics (>=0.7.0,<2.0)", "torchvision (>=0.16.0,<1.0)", "uvicorn"] +examples = ["ipython[all] (<9.0)", "lightning-utilities (>=0.8.0,<1.0)", "requests (<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.16.0,<1.0)"] extra = ["bitsandbytes (>=0.42.0,<1.0)", "hydra-core (>=1.2.0,<2.0)", "jsonargparse[signatures] (>=4.27.7,<5.0)", "matplotlib (>3.1,<4.0)", "omegaconf (>=2.2.3,<3.0)", "rich (>=12.3.0,<14.0)", "tensorboardX (>=2.2,<3.0)"] -fabric-all = ["bitsandbytes (>=0.42.0,<1.0)", "deepspeed (>=0.8.2,<=0.9.3)", "lightning-utilities (>=0.8.0,<1.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.15.0,<1.0)"] -fabric-dev = ["bitsandbytes (>=0.42.0,<1.0)", "click (==8.1.7)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "lightning-utilities (>=0.8.0,<1.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchmetrics (>=0.7.0,<2.0)", "torchvision (>=0.15.0,<1.0)"] -fabric-examples = ["lightning-utilities (>=0.8.0,<1.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.15.0,<1.0)"] +fabric-all = ["bitsandbytes (>=0.42.0,<1.0)", "deepspeed (>=0.8.2,<=0.9.3)", "lightning-utilities (>=0.8.0,<1.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.16.0,<1.0)"] +fabric-dev = ["bitsandbytes (>=0.42.0,<1.0)", "click (==8.1.7)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "lightning-utilities (>=0.8.0,<1.0)", "numpy (>=1.17.2,<2.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchmetrics (>=0.7.0,<2.0)", "torchvision (>=0.16.0,<1.0)"] +fabric-examples = ["lightning-utilities (>=0.8.0,<1.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.16.0,<1.0)"] fabric-strategies = ["bitsandbytes (>=0.42.0,<1.0)", "deepspeed (>=0.8.2,<=0.9.3)"] -fabric-test = ["click (==8.1.7)", "coverage (==7.3.1)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.7.0,<2.0)"] -pytorch-all = ["bitsandbytes (>=0.42.0,<1.0)", "deepspeed (>=0.8.2,<=0.9.3)", "hydra-core (>=1.2.0,<2.0)", "ipython[all] (<9.0)", "jsonargparse[signatures] (>=4.27.7,<5.0)", "lightning-utilities (>=0.8.0,<1.0)", "matplotlib (>3.1,<4.0)", "omegaconf (>=2.2.3,<3.0)", "requests (<3.0)", "rich (>=12.3.0,<14.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.15.0,<1.0)"] -pytorch-dev = ["bitsandbytes (>=0.42.0,<1.0)", "cloudpickle (>=1.3,<3.0)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "fastapi", "hydra-core (>=1.2.0,<2.0)", "ipython[all] (<9.0)", "jsonargparse[signatures] (>=4.27.7,<5.0)", "lightning-utilities (>=0.8.0,<1.0)", "matplotlib (>3.1,<4.0)", "omegaconf (>=2.2.3,<3.0)", "onnx (>=0.14.0,<2.0)", "onnxruntime (>=0.15.0,<2.0)", "pandas (>1.0,<3.0)", "psutil (<6.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<3.0)", "rich (>=12.3.0,<14.0)", "scikit-learn (>0.22.1,<2.0)", "tensorboard (>=2.9.1,<3.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.15.0,<1.0)", "uvicorn"] -pytorch-examples = ["ipython[all] (<9.0)", "lightning-utilities (>=0.8.0,<1.0)", "requests (<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.15.0,<1.0)"] +fabric-test = ["click (==8.1.7)", "coverage (==7.3.1)", "numpy (>=1.17.2,<2.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.7.0,<2.0)"] +pytorch-all = ["bitsandbytes (>=0.42.0,<1.0)", "deepspeed (>=0.8.2,<=0.9.3)", "hydra-core (>=1.2.0,<2.0)", "ipython[all] (<9.0)", "jsonargparse[signatures] (>=4.27.7,<5.0)", "lightning-utilities (>=0.8.0,<1.0)", "matplotlib (>3.1,<4.0)", "omegaconf (>=2.2.3,<3.0)", "requests (<3.0)", "rich (>=12.3.0,<14.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.16.0,<1.0)"] +pytorch-dev = ["bitsandbytes (>=0.42.0,<1.0)", "cloudpickle (>=1.3,<3.0)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "fastapi", "hydra-core (>=1.2.0,<2.0)", "ipython[all] (<9.0)", "jsonargparse[signatures] (>=4.27.7,<5.0)", "lightning-utilities (>=0.8.0,<1.0)", "matplotlib (>3.1,<4.0)", "numpy (>=1.17.2,<2.0)", "omegaconf (>=2.2.3,<3.0)", "onnx (>=1.12.0,<2.0)", "onnxruntime (>=1.12.0,<2.0)", "pandas (>1.0,<3.0)", "psutil (<6.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<3.0)", "rich (>=12.3.0,<14.0)", "scikit-learn (>0.22.1,<2.0)", "tensorboard (>=2.9.1,<3.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.16.0,<1.0)", "uvicorn"] +pytorch-examples = ["ipython[all] (<9.0)", "lightning-utilities (>=0.8.0,<1.0)", "requests (<3.0)", "torchmetrics (>=0.10.0,<2.0)", "torchvision (>=0.16.0,<1.0)"] pytorch-extra = ["bitsandbytes (>=0.42.0,<1.0)", "hydra-core (>=1.2.0,<2.0)", "jsonargparse[signatures] (>=4.27.7,<5.0)", "matplotlib (>3.1,<4.0)", "omegaconf (>=2.2.3,<3.0)", "rich (>=12.3.0,<14.0)", "tensorboardX (>=2.2,<3.0)"] pytorch-strategies = ["deepspeed (>=0.8.2,<=0.9.3)"] -pytorch-test = ["cloudpickle (>=1.3,<3.0)", "coverage (==7.3.1)", "fastapi", "onnx (>=0.14.0,<2.0)", "onnxruntime (>=0.15.0,<2.0)", "pandas (>1.0,<3.0)", "psutil (<6.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1,<2.0)", "tensorboard (>=2.9.1,<3.0)", "uvicorn"] -store-test = ["coverage (==7.3.1)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)"] +pytorch-test = ["cloudpickle (>=1.3,<3.0)", "coverage (==7.3.1)", "fastapi", "numpy (>=1.17.2,<2.0)", "onnx (>=1.12.0,<2.0)", "onnxruntime (>=1.12.0,<2.0)", "pandas (>1.0,<3.0)", "psutil (<6.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1,<2.0)", "tensorboard (>=2.9.1,<3.0)", "uvicorn"] strategies = ["bitsandbytes (>=0.42.0,<1.0)", "deepspeed (>=0.8.2,<=0.9.3)"] -test = ["click (==8.1.7)", "cloudpickle (>=1.3,<3.0)", "coverage (==7.3.1)", "fastapi", "onnx (>=0.14.0,<2.0)", "onnxruntime (>=0.15.0,<2.0)", "pandas (>1.0,<3.0)", "psutil (<6.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1,<2.0)", "tensorboard (>=2.9.1,<3.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.7.0,<2.0)", "uvicorn"] +test = ["click (==8.1.7)", "cloudpickle (>=1.3,<3.0)", "coverage (==7.3.1)", "fastapi", "numpy (>=1.17.2,<2.0)", "onnx (>=1.12.0,<2.0)", "onnxruntime (>=1.12.0,<2.0)", "pandas (>1.0,<3.0)", "psutil (<6.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1,<2.0)", "tensorboard (>=2.9.1,<3.0)", "tensorboardX (>=2.2,<3.0)", "torchmetrics (>=0.7.0,<2.0)", "uvicorn"] [[package]] name = "lightning-utilities" @@ -1800,29 +1797,24 @@ files = [ {file = "matplotlib-3.9.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd2a59ff4b83d33bca3b5ec58203cc65985367812cb8c257f3e101632be86d92"}, {file = "matplotlib-3.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fc001516ffcf1a221beb51198b194d9230199d6842c540108e4ce109ac05cc0"}, {file = "matplotlib-3.9.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:83c6a792f1465d174c86d06f3ae85a8fe36e6f5964633ae8106312ec0921fdf5"}, - {file = "matplotlib-3.9.1-cp310-cp310-win_amd64.whl", hash = "sha256:421851f4f57350bcf0811edd754a708d2275533e84f52f6760b740766c6747a7"}, {file = "matplotlib-3.9.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:b3fce58971b465e01b5c538f9d44915640c20ec5ff31346e963c9e1cd66fa812"}, {file = "matplotlib-3.9.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a973c53ad0668c53e0ed76b27d2eeeae8799836fd0d0caaa4ecc66bf4e6676c0"}, {file = "matplotlib-3.9.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82cd5acf8f3ef43f7532c2f230249720f5dc5dd40ecafaf1c60ac8200d46d7eb"}, {file = "matplotlib-3.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab38a4f3772523179b2f772103d8030215b318fef6360cb40558f585bf3d017f"}, {file = "matplotlib-3.9.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:2315837485ca6188a4b632c5199900e28d33b481eb083663f6a44cfc8987ded3"}, - {file = "matplotlib-3.9.1-cp311-cp311-win_amd64.whl", hash = "sha256:a0c977c5c382f6696caf0bd277ef4f936da7e2aa202ff66cad5f0ac1428ee15b"}, {file = "matplotlib-3.9.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:565d572efea2b94f264dd86ef27919515aa6d629252a169b42ce5f570db7f37b"}, {file = "matplotlib-3.9.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6d397fd8ccc64af2ec0af1f0efc3bacd745ebfb9d507f3f552e8adb689ed730a"}, {file = "matplotlib-3.9.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:26040c8f5121cd1ad712abffcd4b5222a8aec3a0fe40bc8542c94331deb8780d"}, {file = "matplotlib-3.9.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d12cb1837cffaac087ad6b44399d5e22b78c729de3cdae4629e252067b705e2b"}, {file = "matplotlib-3.9.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0e835c6988edc3d2d08794f73c323cc62483e13df0194719ecb0723b564e0b5c"}, - {file = "matplotlib-3.9.1-cp312-cp312-win_amd64.whl", hash = "sha256:44a21d922f78ce40435cb35b43dd7d573cf2a30138d5c4b709d19f00e3907fd7"}, {file = "matplotlib-3.9.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:0c584210c755ae921283d21d01f03a49ef46d1afa184134dd0f95b0202ee6f03"}, {file = "matplotlib-3.9.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:11fed08f34fa682c2b792942f8902e7aefeed400da71f9e5816bea40a7ce28fe"}, {file = "matplotlib-3.9.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0000354e32efcfd86bda75729716b92f5c2edd5b947200be9881f0a671565c33"}, {file = "matplotlib-3.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4db17fea0ae3aceb8e9ac69c7e3051bae0b3d083bfec932240f9bf5d0197a049"}, {file = "matplotlib-3.9.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:208cbce658b72bf6a8e675058fbbf59f67814057ae78165d8a2f87c45b48d0ff"}, - {file = "matplotlib-3.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:dc23f48ab630474264276be156d0d7710ac6c5a09648ccdf49fef9200d8cbe80"}, {file = "matplotlib-3.9.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:3fda72d4d472e2ccd1be0e9ccb6bf0d2eaf635e7f8f51d737ed7e465ac020cb3"}, {file = "matplotlib-3.9.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:84b3ba8429935a444f1fdc80ed930babbe06725bcf09fbeb5c8757a2cd74af04"}, {file = "matplotlib-3.9.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b918770bf3e07845408716e5bbda17eadfc3fcbd9307dc67f37d6cf834bb3d98"}, - {file = "matplotlib-3.9.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:f1f2e5d29e9435c97ad4c36fb6668e89aee13d48c75893e25cef064675038ac9"}, {file = "matplotlib-3.9.1.tar.gz", hash = "sha256:de06b19b8db95dd33d0dc17c926c7c9ebed9f572074b6fac4f65068a6814d010"}, ] @@ -1925,9 +1917,9 @@ files = [ [package.dependencies] numpy = [ {version = ">1.20", markers = "python_version < \"3.10\""}, - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, + {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, + {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] [package.extras] @@ -2425,8 +2417,8 @@ files = [ [package.dependencies] numpy = [ {version = ">=1.22.4", markers = "python_version < \"3.11\""}, - {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, {version = ">=1.23.2", markers = "python_version == \"3.11\""}, + {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1"