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Add ARM conda environments. (rapidsai#18470)
This PR adds ARM conda environments. xref: rapidsai/build-planning#87 Authors: - Bradley Dice (https://github.com/bdice) Approvers: - James Lamb (https://github.com/jameslamb) URL: rapidsai#18470
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‎conda/environments/all_cuda-118_arch-aarch64.yaml‎

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# This file is generated by `rapids-dependency-file-generator`.
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# To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
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channels:
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- rapidsai
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- rapidsai-nightly
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- dask/label/dev
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- conda-forge
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- nvidia
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dependencies:
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- aiobotocore>=2.2.0
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- boto3>=1.21.21
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- botocore>=1.24.21
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- breathe>=4.35.0
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- c-compiler
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- cachetools
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- clang-tools=16.0.6
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- clang==16.0.6
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- cmake>=3.30.4
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- cramjam
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- cubinlinker
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- cuda-nvtx=11.8
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- cuda-python>=11.8.5,<12.0a0
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- cuda-sanitizer-api=11.8.86
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- cuda-version=11.8
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- cudatoolkit
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- cupy>=12.0.0
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- cxx-compiler
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- cython>=3.0.3
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- dask-cuda==25.6.*,>=0.0.0a0
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- dlpack>=0.8,<1.0
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- doxygen=1.9.1
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- fastavro>=0.22.9
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- flatbuffers==24.3.25
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- fsspec>=0.6.0
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- gcc_linux-aarch64=11.*
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- hypothesis
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- identify>=2.5.20
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- ipython
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- jupyter_client
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- libcurand-dev=10.3.0.86
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- libcurand=10.3.0.86
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- libkvikio==25.6.*,>=0.0.0a0
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- librdkafka>=2.8.0,<2.9.0a0
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- librmm==25.6.*,>=0.0.0a0
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- make
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- mmh3
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- moto>=4.0.8
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- msgpack-python
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- myst-nb
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- nbconvert
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- nbformat
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- nbsphinx
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- ninja
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- notebook
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- numba-cuda>=0.4.0,<0.5.0a0
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- numba>=0.59.1,<0.62.0a0
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- numpy>=1.23,<3.0a0
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- numpydoc
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- nvcc_linux-aarch64=11.8
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- nvcomp==4.2.0.11
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- nvtx>=0.2.1
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- openpyxl
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- packaging
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- pandas
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- pandas>=2.0,<2.2.4dev0
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- pandoc
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- polars>=1.24,<1.27
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- pre-commit
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- ptxcompiler
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- pyarrow>=14.0.0,<20.0.0a0
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- pydata-sphinx-theme>=0.15.4
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- pynvml>=12.0.0,<13.0.0a0
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- pytest-benchmark
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- pytest-cases>=3.8.2
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- pytest-cov
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- pytest-xdist
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- pytest<8
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- python-confluent-kafka>=2.8.0,<2.9.0a0
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- python-xxhash
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- python>=3.10,<3.13
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- rapids-build-backend>=0.3.0,<0.4.0.dev0
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- rapids-dask-dependency==25.6.*,>=0.0.0a0
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- rapids-logger==0.1.*,>=0.0.0a0
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- rich
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- rmm==25.6.*,>=0.0.0a0
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- s3fs>=2022.3.0
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- scikit-build-core>=0.10.0
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- scipy
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- sphinx-autobuild
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- sphinx-copybutton
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- sphinx-markdown-tables
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- sphinx-remove-toctrees
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- sphinx>=8.1.0
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- sphinxcontrib-websupport
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- streamz
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- sysroot_linux-aarch64==2.28
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- typing_extensions>=4.0.0
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- zlib>=1.2.13
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name: all_cuda-118_arch-aarch64

‎conda/environments/all_cuda-128_arch-aarch64.yaml‎

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# This file is generated by `rapids-dependency-file-generator`.
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# To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
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channels:
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- rapidsai
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- rapidsai-nightly
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- dask/label/dev
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- conda-forge
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- nvidia
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dependencies:
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- aiobotocore>=2.2.0
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- boto3>=1.21.21
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- botocore>=1.24.21
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- breathe>=4.35.0
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- c-compiler
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- cachetools
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- clang-tools=16.0.6
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- clang==16.0.6
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- cmake>=3.30.4
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- cramjam
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- cuda-cudart-dev
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- cuda-nvcc
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- cuda-nvrtc-dev
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- cuda-nvtx-dev
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- cuda-python>=12.6.2,<13.0a0
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- cuda-sanitizer-api
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- cuda-version=12.8
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- cupy>=12.0.0
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- cxx-compiler
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- cython>=3.0.3
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- dask-cuda==25.6.*,>=0.0.0a0
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- dlpack>=0.8,<1.0
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- doxygen=1.9.1
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- fastavro>=0.22.9
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- flatbuffers==24.3.25
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- fsspec>=0.6.0
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- gcc_linux-aarch64=13.*
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- hypothesis
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- identify>=2.5.20
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- ipython
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- jupyter_client
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- libcurand-dev
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- libkvikio==25.6.*,>=0.0.0a0
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- librdkafka>=2.8.0,<2.9.0a0
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- librmm==25.6.*,>=0.0.0a0
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- make
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- mmh3
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- moto>=4.0.8
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- msgpack-python
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- myst-nb
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- nbconvert
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- nbformat
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- nbsphinx
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- ninja
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- notebook
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- numba-cuda>=0.4.0,<0.5.0a0
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- numba>=0.59.1,<0.62.0a0
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- numpy>=1.23,<3.0a0
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- numpydoc
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- nvcomp==4.2.0.11
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- nvtx>=0.2.1
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- openpyxl
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- packaging
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- pandas
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- pandas>=2.0,<2.2.4dev0
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- pandoc
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- polars>=1.24,<1.27
67+
- pre-commit
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- pyarrow>=14.0.0,<20.0.0a0
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- pydata-sphinx-theme>=0.15.4
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- pynvjitlink>=0.0.0a0
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- pynvml>=12.0.0,<13.0.0a0
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- pytest-benchmark
73+
- pytest-cases>=3.8.2
74+
- pytest-cov
75+
- pytest-xdist
76+
- pytest<8
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- python-confluent-kafka>=2.8.0,<2.9.0a0
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- python-xxhash
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- python>=3.10,<3.13
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- pytorch>=2.4.0
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- rapids-build-backend>=0.3.0,<0.4.0.dev0
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- rapids-dask-dependency==25.6.*,>=0.0.0a0
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- rapids-logger==0.1.*,>=0.0.0a0
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- rich
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- rmm==25.6.*,>=0.0.0a0
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- s3fs>=2022.3.0
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- scikit-build-core>=0.10.0
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- scipy
89+
- sphinx-autobuild
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- sphinx-copybutton
91+
- sphinx-markdown-tables
92+
- sphinx-remove-toctrees
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- sphinx>=8.1.0
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- sphinxcontrib-websupport
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- streamz
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- sysroot_linux-aarch64==2.28
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- tokenizers==0.15.2
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- typing_extensions>=4.0.0
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- zlib>=1.2.13
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name: all_cuda-128_arch-aarch64

‎dependencies.yaml‎

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output: conda
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matrix:
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cuda: ["11.8", "12.8"]
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arch: [x86_64]
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arch: [x86_64, aarch64]
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includes:
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# Note that clang-tidy is not included here because cudf's preferred
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# version conflicts with the rest of RAPIDS as well as its own

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