From 114cdc6f779ff13d4576981d0cf2a4f1cf8996f0 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 29 Aug 2024 18:19:09 +0000 Subject: [PATCH] Bump jupyterlab from 3.6.7 to 3.6.8 Bumps [jupyterlab](https://github.com/jupyterlab/jupyterlab) from 3.6.7 to 3.6.8. - [Release notes](https://github.com/jupyterlab/jupyterlab/releases) - [Changelog](https://github.com/jupyterlab/jupyterlab/blob/main/CHANGELOG.md) - [Commits](https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/vdom@3.6.7...@jupyterlab/vdom@3.6.8) --- updated-dependencies: - dependency-name: jupyterlab dependency-type: direct:development ... Signed-off-by: dependabot[bot] --- poetry.lock | 42 +++++++++++++++++++++--------------------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/poetry.lock b/poetry.lock index b8323db..9cc7a35 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1084,7 +1084,7 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc name = "filelock" version = "3.13.1" description = "A platform independent file lock." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"}, @@ -1234,7 +1234,7 @@ files = [ name = "fsspec" version = "2023.10.0" description = "File-system specification" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "fsspec-2023.10.0-py3-none-any.whl", hash = "sha256:346a8f024efeb749d2a5fca7ba8854474b1ff9af7c3faaf636a4548781136529"}, @@ -1911,13 +1911,13 @@ test = ["pre-commit", "pytest", "pytest-asyncio", "websockets (>=10.0)", "ypy-we [[package]] name = "jupyterlab" -version = "3.6.7" +version = "3.6.8" description = "JupyterLab computational environment" optional = false python-versions = ">=3.7" files = [ - {file = "jupyterlab-3.6.7-py3-none-any.whl", hash = "sha256:d92d57d402f53922bca5090654843aa08e511290dff29fdb0809eafbbeb6df98"}, - {file = "jupyterlab-3.6.7.tar.gz", hash = "sha256:2fadeaec161b0d1aec19f17721d8b803aef1d267f89c8b636b703be14f435c8f"}, + {file = "jupyterlab-3.6.8-py3-none-any.whl", hash = "sha256:891284e75158998e23eb7a23ecc4caaf27b365e41adca374109b1305b9f769db"}, + {file = "jupyterlab-3.6.8.tar.gz", hash = "sha256:a2477383e23f20009188bd9dac7e6e38dbc54307bc36d716bea6ced450647c97"}, ] [package.dependencies] @@ -2507,7 +2507,7 @@ files = [ name = "mpmath" version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" -optional = false +optional = true python-versions = "*" files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, @@ -2857,7 +2857,7 @@ files = [ name = "nvidia-cublas-cu12" version = "12.1.3.1" description = "CUBLAS native runtime libraries" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"}, @@ -2868,7 +2868,7 @@ files = [ name = "nvidia-cuda-cupti-cu12" version = "12.1.105" description = "CUDA profiling tools runtime libs." -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"}, @@ -2879,7 +2879,7 @@ files = [ name = "nvidia-cuda-nvrtc-cu12" version = "12.1.105" description = "NVRTC native runtime libraries" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"}, @@ -2890,7 +2890,7 @@ files = [ name = "nvidia-cuda-runtime-cu12" version = "12.1.105" description = "CUDA Runtime native Libraries" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"}, @@ -2901,7 +2901,7 @@ files = [ name = "nvidia-cudnn-cu12" version = "8.9.2.26" description = "cuDNN runtime libraries" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"}, @@ -2914,7 +2914,7 @@ nvidia-cublas-cu12 = "*" name = "nvidia-cufft-cu12" version = "11.0.2.54" description = "CUFFT native runtime libraries" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"}, @@ -2925,7 +2925,7 @@ files = [ name = "nvidia-curand-cu12" version = "10.3.2.106" description = "CURAND native runtime libraries" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"}, @@ -2936,7 +2936,7 @@ files = [ name = "nvidia-cusolver-cu12" version = "11.4.5.107" description = "CUDA solver native runtime libraries" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"}, @@ -2952,7 +2952,7 @@ nvidia-nvjitlink-cu12 = "*" name = "nvidia-cusparse-cu12" version = "12.1.0.106" description = "CUSPARSE native runtime libraries" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"}, @@ -2966,7 +2966,7 @@ nvidia-nvjitlink-cu12 = "*" name = "nvidia-nccl-cu12" version = "2.19.3" description = "NVIDIA Collective Communication Library (NCCL) Runtime" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"}, @@ -2976,7 +2976,7 @@ files = [ name = "nvidia-nvjitlink-cu12" version = "12.3.101" description = "Nvidia JIT LTO Library" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl", hash = "sha256:64335a8088e2b9d196ae8665430bc6a2b7e6ef2eb877a9c735c804bd4ff6467c"}, @@ -2988,7 +2988,7 @@ files = [ name = "nvidia-nvtx-cu12" version = "12.1.105" description = "NVIDIA Tools Extension" -optional = false +optional = true python-versions = ">=3" files = [ {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"}, @@ -4633,7 +4633,7 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] name = "sympy" version = "1.12" description = "Computer algebra system (CAS) in Python" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"}, @@ -4747,7 +4747,7 @@ files = [ name = "torch" version = "2.2.0" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" -optional = false +optional = true python-versions = ">=3.8.0" files = [ {file = "torch-2.2.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:d366158d6503a3447e67f8c0ad1328d54e6c181d88572d688a625fac61b13a97"}, @@ -4874,7 +4874,7 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.6.0)", "pre-commit", "pytest (>=7.0, name = "triton" version = "2.2.0" description = "A language and compiler for custom Deep Learning operations" -optional = false +optional = true python-versions = "*" files = [ {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},