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dependencies.yaml
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# Dependency list for https://github.com/rapidsai/dependency-file-generator
files:
all:
output: conda
matrix:
cuda: ["11.8", "12.8"]
arch: [x86_64]
includes:
# Note that clang-tidy is not included here because cudf's preferred
# version conflicts with the rest of RAPIDS as well as its own
# clang-format version. Until we update our clang-format version we will
# not be able to install both into the same environment. Moreover, using
# this version will break compatibility with other RAPIDS libraries that
# are still using 16.0.6, and as such will and that would break any
# unified environment like that used in unified devcontainers.
- build_base
- build_all
- build_cpp
- build_python_common
- clang_format
- cuda
- cuda_version
- depends_on_cupy
- depends_on_libkvikio
- depends_on_librmm
- depends_on_nvcomp
- depends_on_rapids_logger
- depends_on_rmm
- develop
- docs
- notebooks
- py_version
- pyarrow_run
- rapids_build_skbuild
- rapids_build_setuptools
- run_common
- run_cudf
- run_cudf_polars
- run_pylibcudf
- run_dask_cudf
- run_custreamz
- test_cpp
- test_python_common
- test_python_cudf
- test_python_cudf_common
- test_python_dask_cudf
- test_python_pylibcudf
- test_python_cudf_pandas
- test_python_cudf_polars
test_static_build:
output: none
includes:
- build_base
test_cpp:
output: none
includes:
- cuda_version
- depends_on_libcudf
- test_cpp
- test_cpp_cudf
test_python_cudf_pandas:
output: none
includes:
- cuda_version
- py_version
- test_python_common
- test_python_cudf_common
- test_python_cudf
- test_python_cudf_pandas
test_python_cudf:
output: none
includes:
- cuda_version
- py_version
- test_python_common
- test_python_cudf_common
- test_python_cudf
- depends_on_cudf
- depends_on_pylibcudf
- depends_on_libcudf
test_python_other:
output: none
includes:
- cuda_version
- py_version
- test_python_common
- test_python_cudf_common
- test_python_dask_cudf
- depends_on_cudf
- depends_on_pylibcudf
- depends_on_libcudf
- depends_on_dask_cudf
- depends_on_cudf_kafka
- depends_on_custreamz
- depends_on_cudf_polars
test_java:
output: none
includes:
- build_base
- build_all
- cuda
- cuda_version
- depends_on_libcudf
- test_java
test_notebooks:
output: none
includes:
- cuda_version
- depends_on_cudf
- depends_on_libcudf
- notebooks
- py_version
checks:
output: none
includes:
- develop
- py_version
clang_tidy:
output: none
includes:
- build_all
- build_base
- clang_tidy
- cuda
- cuda_version
- develop
- py_version
docs:
output: none
includes:
- cuda
- cuda_version
- depends_on_cudf
- depends_on_dask_cudf
- depends_on_pylibcudf
- depends_on_libcudf
- docs
- py_version
py_build_cudf:
output: pyproject
pyproject_dir: python/cudf
extras:
table: build-system
includes:
- rapids_build_skbuild
py_rapids_build_cudf:
output: pyproject
pyproject_dir: python/cudf
extras:
table: tool.rapids-build-backend
key: requires
includes:
- build_base
- build_python_common
- depends_on_pylibcudf
- depends_on_libcudf
- depends_on_librmm
- depends_on_rmm
py_run_cudf:
output: pyproject
pyproject_dir: python/cudf
extras:
table: project
includes:
- run_common
- run_cudf
- pyarrow_run
- depends_on_cupy
- depends_on_libcudf
- depends_on_pylibcudf
- depends_on_rmm
py_test_cudf:
output: pyproject
pyproject_dir: python/cudf
extras:
table: project.optional-dependencies
key: test
includes:
- test_python_common
- test_python_cudf_common
- test_python_cudf
py_build_libcudf:
output: pyproject
pyproject_dir: python/libcudf
extras:
table: build-system
includes:
- rapids_build_skbuild
py_rapids_build_libcudf:
output: pyproject
pyproject_dir: python/libcudf
extras:
table: tool.rapids-build-backend
key: requires
includes:
- build_base
- build_cpp
- depends_on_libkvikio
- depends_on_librmm
- depends_on_rapids_logger
py_run_libcudf:
output: pyproject
pyproject_dir: python/libcudf
extras:
table: project
includes:
- depends_on_libkvikio
- depends_on_librmm
- depends_on_nvcomp
- depends_on_rapids_logger
py_build_pylibcudf:
output: pyproject
pyproject_dir: python/pylibcudf
extras:
table: build-system
includes:
- rapids_build_skbuild
py_rapids_build_pylibcudf:
output: pyproject
pyproject_dir: python/pylibcudf
extras:
table: tool.rapids-build-backend
key: requires
includes:
- build_base
- build_python_common
- depends_on_libcudf
- depends_on_librmm
- depends_on_rmm
py_run_pylibcudf:
output: pyproject
pyproject_dir: python/pylibcudf
extras:
table: project
includes:
- depends_on_libcudf
- depends_on_rmm
- pyarrow_run
- run_pylibcudf
py_test_pylibcudf:
output: pyproject
pyproject_dir: python/pylibcudf
extras:
table: project.optional-dependencies
key: test
includes:
- test_python_common
- test_python_cudf_common
- test_python_pylibcudf
py_test_pandas_cudf:
output: pyproject
pyproject_dir: python/cudf
extras:
table: project.optional-dependencies
key: pandas-tests
includes:
- test_python_pandas_cudf
py_test_cudf_pandas:
output: pyproject
pyproject_dir: python/cudf
extras:
table: project.optional-dependencies
key: cudf-pandas-tests
includes:
- test_python_cudf_pandas
py_build_cudf_polars:
output: pyproject
pyproject_dir: python/cudf_polars
extras:
table: build-system
includes:
- rapids_build_setuptools
py_run_cudf_polars:
output: pyproject
pyproject_dir: python/cudf_polars
extras:
table: project
includes:
- run_cudf_polars
- depends_on_pylibcudf
py_run_cudf_polars_experimental:
output: pyproject
pyproject_dir: python/cudf_polars
extras:
table: project.optional-dependencies
key: experimental
includes:
- run_cudf_polars_experimental
py_test_cudf_polars:
output: pyproject
pyproject_dir: python/cudf_polars
extras:
table: project.optional-dependencies
key: test
includes:
- test_python_common
- test_python_cudf_polars
py_build_dask_cudf:
output: pyproject
pyproject_dir: python/dask_cudf
extras:
table: build-system
includes:
- rapids_build_setuptools
py_run_dask_cudf:
output: pyproject
pyproject_dir: python/dask_cudf
extras:
table: project
includes:
- run_common
- run_dask_cudf
- depends_on_cudf
- depends_on_cupy
py_test_dask_cudf:
output: pyproject
pyproject_dir: python/dask_cudf
extras:
table: project.optional-dependencies
key: test
includes:
- test_python_common
- test_python_cudf_common
- test_python_dask_cudf
py_build_cudf_kafka:
output: pyproject
pyproject_dir: python/cudf_kafka
extras:
table: build-system
includes:
- rapids_build_skbuild
py_rapids_build_cudf_kafka:
output: pyproject
pyproject_dir: python/cudf_kafka
extras:
table: tool.rapids-build-backend
key: requires
includes:
- build_base
- build_python_common
py_run_cudf_kafka:
output: pyproject
pyproject_dir: python/cudf_kafka
extras:
table: project
includes:
- depends_on_cudf
py_test_cudf_kafka:
output: pyproject
pyproject_dir: python/cudf_kafka
extras:
table: project.optional-dependencies
key: test
includes:
- test_python_common
- test_python_cudf_common
py_build_custreamz:
output: pyproject
pyproject_dir: python/custreamz
extras:
table: build-system
includes:
- rapids_build_setuptools
py_run_custreamz:
output: pyproject
pyproject_dir: python/custreamz
extras:
table: project
includes:
- run_custreamz
- depends_on_cudf
- depends_on_cudf_kafka
py_test_custreamz:
output: pyproject
pyproject_dir: python/custreamz
extras:
table: project.optional-dependencies
key: test
includes:
- test_python_common
- test_python_cudf_common
test_python_narwhals:
output: none
includes:
- cuda_version
- py_version
- test_python_common
- test_python_cudf_common
- test_python_cudf
- depends_on_cudf
- depends_on_cudf_polars
channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- conda-forge
- nvidia
dependencies:
build_base:
common:
- output_types: [conda, requirements, pyproject]
packages:
- &cmake_ver cmake>=3.26.4,!=3.30.0
- &ninja ninja
build_all:
common:
- output_types: conda
packages:
- c-compiler
- cxx-compiler
- dlpack>=0.8,<1.0
- zlib>=1.2.13
specific:
- output_types: conda
matrices:
- matrix:
arch: x86_64
cuda: "11.8"
packages:
- gcc_linux-64=11.*
- sysroot_linux-64==2.28
- matrix:
arch: aarch64
cuda: "11.8"
packages:
- gcc_linux-aarch64=11.*
- sysroot_linux-aarch64==2.28
- matrix:
arch: x86_64
cuda: "12.*"
packages:
- gcc_linux-64=13.*
- sysroot_linux-64==2.28
- matrix:
arch: aarch64
cuda: "12.*"
packages:
- gcc_linux-aarch64=13.*
- sysroot_linux-aarch64==2.28
- output_types: conda
matrices:
- matrix:
cuda: "12.*"
packages:
- cuda-nvcc
- matrix:
arch: x86_64
cuda: "11.8"
packages:
- nvcc_linux-64=11.8
- matrix:
arch: aarch64
cuda: "11.8"
packages:
- nvcc_linux-aarch64=11.8
build_cpp:
common:
- output_types: conda
packages:
- flatbuffers==24.3.25
- librdkafka>=2.5.0,<2.6.0a0
depends_on_nvcomp:
common:
- output_types: conda
packages:
# Align nvcomp version with rapids-cmake
- nvcomp==4.2.0.11
specific:
- output_types: [requirements, pyproject]
matrices:
- matrix:
cuda: "12.*"
use_cuda_wheels: "true"
packages:
- nvidia-nvcomp-cu12==4.2.0.11
- matrix:
cuda: "11.*"
use_cuda_wheels: "true"
packages:
- nvidia-nvcomp-cu11==4.2.0.11
# if use_cuda_wheels=false is provided, do not add dependencies on any CUDA wheels
# (e.g. for DLFW and pip devcontainers)
- matrix:
use_cuda_wheels: "false"
packages:
# if no matching matrix selectors passed, list the unsuffixed packages
# (just as a source of documentation, as this populates pyproject.toml in source control)
- matrix:
packages:
- nvidia-nvcomp==4.2.0.11
rapids_build_skbuild:
common:
- output_types: [conda, requirements, pyproject]
packages:
- &rapids_build_backend rapids-build-backend>=0.3.0,<0.4.0.dev0
- output_types: conda
packages:
- scikit-build-core>=0.10.0
- output_types: [requirements, pyproject]
packages:
- scikit-build-core[pyproject]>=0.10.0
rapids_build_setuptools:
common:
- output_types: [requirements, pyproject]
packages:
- *rapids_build_backend
- setuptools
- wheel
build_python_common:
common:
- output_types: [conda, requirements, pyproject]
packages:
- cython>=3.0.3
pyarrow_run:
common:
- output_types: [conda]
packages:
- pyarrow>=14.0.0,<20.0.0a0
- output_types: [requirements, pyproject]
packages:
# pyarrow 17.0.0 wheels have a subtle issue around threading that
# can cause segmentation faults around imports on arm. It appears to
# be highly dependent on the exact build configuration, so we'll just
# avoid 17.0.0 for now unless we observe similar issues in future
# releases as well.
- pyarrow>=14.0.0,<20.0.0a0; platform_machine=='x86_64'
- pyarrow>=14.0.0,<20.0.0a0,!=17.0.0; platform_machine=='aarch64'
cuda_version:
specific:
- output_types: conda
matrices:
- matrix:
cuda: "11.2"
packages:
- cuda-version=11.2
- matrix:
cuda: "11.4"
packages:
- cuda-version=11.4
- matrix:
cuda: "11.5"
packages:
- cuda-version=11.5
- matrix:
cuda: "11.8"
packages:
- cuda-version=11.8
- matrix:
cuda: "12.0"
packages:
- cuda-version=12.0
- matrix:
cuda: "12.2"
packages:
- cuda-version=12.2
- matrix:
cuda: "12.5"
packages:
- cuda-version=12.5
- matrix:
cuda: "12.8"
packages:
- cuda-version=12.8
cuda:
specific:
- output_types: conda
matrices:
- matrix:
cuda: "12.*"
packages:
- cuda-cudart-dev
- cuda-nvrtc-dev
- cuda-nvtx-dev
- libcurand-dev
- matrix:
cuda: "11.8"
packages:
- cudatoolkit
- cuda-nvtx=11.8
- libcurand-dev=10.3.0.86
- libcurand=10.3.0.86
- matrix:
cuda: "11.5"
packages:
- cudatoolkit
- cuda-nvtx=11.5
# Can't hard pin the version since 11.x is missing many
# packages for specific versions
- libcurand-dev>=10.2.6.48,<=10.2.7.107
- libcurand>=10.2.6.48,<=10.2.7.107
- matrix:
cuda: "11.4"
packages:
- cudatoolkit
- &cudanvtx114 cuda-nvtx=11.4
- &libcurand_dev114 libcurand-dev>=10.2.5.43,<=10.2.5.120
- &libcurand114 libcurand>=10.2.5.43,<=10.2.5.120
- matrix:
cuda: "11.2"
packages:
- cudatoolkit
# The NVIDIA channel doesn't publish pkgs older than 11.4 for
# these libs, so 11.2 uses 11.4 packages (the oldest
# available).
- *cudanvtx114
- *libcurand_dev114
- *libcurand114
- output_types: conda
matrices:
- matrix:
arch: aarch64
packages:
- matrix:
cuda: "12.*"
arch: x86_64
packages:
- libcufile-dev
- matrix:
cuda: "11.8"
arch: x86_64
packages:
- libcufile=1.4.0.31
- libcufile-dev=1.4.0.31
- matrix:
cuda: "11.5"
arch: x86_64
packages:
- libcufile>=1.1.0.37,<=1.1.1.25
- libcufile-dev>=1.1.0.37,<=1.1.1.25
- matrix:
cuda: "11.4"
arch: x86_64
packages:
- &libcufile_114 libcufile>=1.0.0.82,<=1.0.2.10
- &libcufile_dev114 libcufile-dev>=1.0.0.82,<=1.0.2.10
- matrix:
cuda: "11.2"
arch: x86_64
packages:
# The NVIDIA channel doesn't publish pkgs older than 11.4 for these libs,
# so 11.2 uses 11.4 packages (the oldest available).
- *libcufile_114
- *libcufile_dev114
develop:
common:
- output_types: [conda, requirements]
packages:
- pre-commit
# pre-commit requires identify minimum version 1.0, but clang-format requires textproto support and that was
# added in 2.5.20, so we need to call out the minimum version needed for our plugins
- identify>=2.5.20
- output_types: conda
packages:
- &doxygen doxygen=1.9.1 # pre-commit hook needs a specific version.
clang_format:
common:
- output_types: conda
packages:
- clang==16.0.6
- clang-tools=16.0.6
clang_tidy:
common:
- output_types: conda
packages:
- clang==19.1.3
- clang-tools==19.1.3
- include-what-you-use==0.23.0
docs:
common:
- output_types: [conda]
packages:
- breathe>=4.35.0
- dask-cuda==25.4.*,>=0.0.0a0
- *doxygen
- make
- myst-nb
- nbsphinx
- numpydoc
- pandoc
# Minimum version for safe parallel writing again.
# https://github.com/pydata/pydata-sphinx-theme/pull/1859
# https://github.com/pydata/pydata-sphinx-theme/releases/tag/v0.15.4
- pydata-sphinx-theme>=0.15.4
- scipy
# Needed for safe parallel writes as with the pydata-sphinx-theme pin above
# https://github.com/sphinx-doc/sphinx/issues/12409
# https://github.com/sphinx-doc/sphinx/pull/12888
# https://github.com/sphinx-doc/sphinx/releases/tag/v8.1.0
- sphinx>=8.1.0
- sphinx-autobuild
- sphinx-copybutton
- sphinx-markdown-tables
- sphinx-remove-toctrees
- sphinxcontrib-websupport
notebooks:
common:
- output_types: [conda, requirements]
packages:
- ipython
- notebook
- scipy
py_version:
specific:
- output_types: conda
matrices:
- matrix:
py: "3.10"
packages:
- python=3.10
- matrix:
py: "3.11"
packages:
- python=3.11
- matrix:
py: "3.12"
packages:
- python=3.12
- matrix:
packages:
- python>=3.10,<3.13
run_common:
common:
- output_types: [conda, requirements, pyproject]
packages:
- fsspec>=0.6.0
- &numpy numpy>=1.23,<3.0a0
- pandas>=2.0,<2.2.4dev0
run_pylibcudf:
common:
- output_types: [conda, requirements, pyproject]
packages:
- nvtx>=0.2.1
- packaging
- typing_extensions>=4.0.0
- output_types: requirements
packages:
# pip recognizes the index as a global option for the requirements.txt file
# This index is needed for rmm.
- --extra-index-url=https://pypi.nvidia.com
- --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple
specific:
- output_types: [conda, requirements, pyproject]
matrices:
- matrix: {cuda: "12.*"}
packages:
- cuda-python>=12.6.2,<13.0a0
- matrix: {cuda: "11.*"}
packages: &run_pylibcudf_packages_all_cu11
- cuda-python>=11.8.5,<12.0a0
- {matrix: null, packages: *run_pylibcudf_packages_all_cu11}
run_cudf:
common:
- output_types: [conda, requirements, pyproject]
packages:
- cachetools
- &numba-cuda-dep numba-cuda>=0.2.0,<0.3.0a0
- &numba-dep numba>=0.59.1,<0.61.0a0
- nvtx>=0.2.1
- packaging
- rich
- typing_extensions>=4.0.0
- output_types: requirements
packages:
# pip recognizes the index as a global option for the requirements.txt file
# This index is needed for rmm, cubinlinker, ptxcompiler.
- --extra-index-url=https://pypi.nvidia.com
- --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple
specific:
- output_types: [conda, requirements, pyproject]
matrices:
- matrix: {cuda: "12.*"}
packages:
- cuda-python>=12.6.2,<13.0a0
- matrix: {cuda: "11.*"}
packages: &run_cudf_packages_all_cu11
- cuda-python>=11.8.5,<12.0a0
- {matrix: null, packages: *run_cudf_packages_all_cu11}
- output_types: conda
matrices:
- matrix: {cuda: "12.*"}
packages:
- &pynvjitlink_unsuffixed pynvjitlink>=0.0.0a0
- matrix: {cuda: "11.*"}
packages:
- &cubinlinker_unsuffixed cubinlinker
- &ptxcompiler_unsuffixed ptxcompiler
- output_types: [requirements, pyproject]
matrices:
- matrix:
cuda: "12.*"
cuda_suffixed: "true"
packages:
- pynvjitlink-cu12>=0.0.0a0
- matrix:
cuda: "12.*"
cuda_suffixed: "false"
packages:
- *pynvjitlink_unsuffixed
- matrix:
cuda: "11.*"
cuda_suffixed: "true"
packages:
- cubinlinker-cu11
- ptxcompiler-cu11
- matrix:
cuda: "11.*"
cuda_suffixed: "false"
packages: &run_cudf_cu11_unsuffixed
- *cubinlinker_unsuffixed
- *ptxcompiler_unsuffixed
- {matrix: null, packages: *run_cudf_cu11_unsuffixed}
run_cudf_polars:
common:
- output_types: [conda, requirements, pyproject]
packages:
- polars>=1.20,<1.23
run_cudf_polars_experimental:
common:
- output_types: [conda, requirements, pyproject]
packages:
- rapids-dask-dependency==25.4.*,>=0.0.0a0
run_dask_cudf:
common:
- output_types: [conda, requirements, pyproject]
packages:
- pynvml>=12.0.0,<13.0.0a0
- rapids-dask-dependency==25.4.*,>=0.0.0a0
run_custreamz:
common:
- output_types: conda
packages:
- python-confluent-kafka>=2.5.0,<2.6.0a0
- output_types: [conda, requirements, pyproject]
packages:
- streamz
- output_types: [requirements, pyproject]
packages:
- confluent-kafka>=2.5.0,<2.6.0a0
test_cpp:
common:
- output_types: conda
packages:
- *cmake_ver
specific:
- output_types: conda
matrices:
- matrix:
cuda: "12.*"
packages:
- cuda-sanitizer-api
- matrix:
cuda: "11.8"
packages:
- cuda-sanitizer-api=11.8.86
- matrix: # Fallback for CUDA 11 or no matrix
packages:
# packages we want in the 'test_cpp' group in 'files', for CI, but which
# shouldn't be added to 'all' for building a development environment
test_cpp_cudf:
common:
- output_types: conda
packages:
- libcudf-example==25.4.*,>=0.0.0a0
- libcudf_kafka==25.4.*,>=0.0.0a0
- libcudf-tests==25.4.*,>=0.0.0a0
test_java:
common:
- output_types: conda
packages:
- *cmake_ver
- maven
- openjdk=8.*
- boost
test_python_common:
common:
- output_types: [conda, requirements, pyproject]
packages:
- pytest<8
- pytest-cov
- pytest-xdist
test_python_cudf_common:
specific:
# Define additional constraints for testing with oldest dependencies.
- output_types: [conda, requirements]
matrices:
- matrix: {dependencies: "oldest"}
packages:
- numba-cuda==0.2.0
- pandas==2.0.*
- matrix: {dependencies: "latest"}
packages:
- *numba-cuda-dep
- *numba-dep
- pandas==2.2.3
- matrix:
packages:
- output_types: conda
matrices:
- matrix: {dependencies: "oldest", arch: "aarch64", cuda: "12.*"}
packages:
- cupy==12.2.0 # cupy 12.2.0 is the earliest with CUDA 12 ARM packages.
- matrix: {dependencies: "oldest"}
packages:
- cupy==12.0.0
- matrix:
packages:
- output_types: requirements
# Using --constraints for pip install, so we list cupy multiple times
matrices:
- matrix: {dependencies: "oldest"}
packages:
- cupy-cuda11x==12.0.0
- cupy-cuda12x==12.0.0
- matrix:
packages:
test_python_pylibcudf:
common:
- output_types: [conda, requirements, pyproject]
packages:
- fastavro>=0.22.9
- hypothesis
- *numpy
- pandas
test_python_cudf:
common:
- output_types: [conda, requirements, pyproject]
packages:
- cramjam
- fastavro>=0.22.9
- hypothesis
- pytest-benchmark
- pytest-cases>=3.8.2
- scipy
- mmh3
- output_types: conda
packages:
- aiobotocore>=2.2.0
- boto3>=1.21.21
- botocore>=1.24.21
- msgpack-python
- moto>=4.0.8
- s3fs>=2022.3.0
- python-xxhash
- output_types: [pyproject, requirements]
packages:
- msgpack
- &tokenizers tokenizers==0.15.2
- &transformers transformers==4.39.3
- tzdata
- xxhash
specific:
- output_types: [conda, requirements]
matrices:
- matrix: {dependencies: "oldest"}
packages:
- numpy==1.23.*
- pyarrow==14.*
- matrix:
packages:
- output_types: conda
matrices:
- matrix:
cuda: "12.*"
packages:
- pytorch>=2.4.0
- *tokenizers
- *transformers
- matrix:
packages:
test_python_dask_cudf:
common:
- output_types: [conda, requirements, pyproject]
packages:
- dask-cuda==25.4.*,>=0.0.0a0
- *numba-cuda-dep
- *numba-dep
specific:
- output_types: [conda, requirements]
matrices:
- matrix: {dependencies: "oldest"}
packages:
- numpy==1.24.*
- pyarrow==14.*
- matrix:
packages:
test_python_cudf_polars:
common:
- output_types: [conda, requirements, pyproject]
packages:
- *numpy
depends_on_libcudf:
common:
- output_types: conda
packages:
- &libcudf_unsuffixed libcudf==25.4.*,>=0.0.0a0
- output_types: requirements
packages:
# pip recognizes the index as a global option for the requirements.txt file
# This index is needed for libcudf-cu{11,12}.
- --extra-index-url=https://pypi.nvidia.com