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dependencies.yaml
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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", "12.2"]
arch: [x86_64]
includes:
- build_all
- build_cpp
- build_wheels
- build_python_common
- build_python_cudf
- cuda
- cuda_version
- develop
- docs
- libarrow_build
- notebooks
- py_version
- run_common
- run_cudf
- run_dask_cudf
- run_custreamz
- test_cpp
- test_python_common
- test_python_cudf
- test_python_dask_cudf
- depends_on_cupy
test_cpp:
output: none
includes:
- cuda_version
- libarrow_run
- test_cpp
test_python:
output: none
includes:
- cuda_version
- py_version
- pyarrow_run
- test_python_common
- test_python_cudf
- test_python_dask_cudf
test_java:
output: none
includes:
- build_all
- cuda
- cuda_version
- libarrow_run
- test_java
test_notebooks:
output: none
includes:
- cuda_version
- notebooks
- py_version
checks:
output: none
includes:
- develop
- py_version
docs:
output: none
includes:
- cuda
- cuda_version
- docs
- libarrow_run
- py_version
py_build_cudf:
output: pyproject
pyproject_dir: python/cudf
extras:
table: build-system
includes:
- build_python_common
- build_python_cudf
py_run_cudf:
output: pyproject
pyproject_dir: python/cudf
extras:
table: project
includes:
- run_common
- run_cudf
- pyarrow_run
- depends_on_cupy
py_test_cudf:
output: pyproject
pyproject_dir: python/cudf
extras:
table: project.optional-dependencies
key: test
includes:
- test_python_common
- test_python_cudf
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_dask_cudf:
output: pyproject
pyproject_dir: python/dask_cudf
extras:
table: build-system
includes:
- build_wheels
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_dask_cudf
py_build_cudf_kafka:
output: pyproject
pyproject_dir: python/cudf_kafka
extras:
table: build-system
includes:
- 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
py_build_custreamz:
output: pyproject
pyproject_dir: python/custreamz
extras:
table: build-system
includes:
- build_wheels
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
channels:
- rapidsai
- rapidsai-nightly
- dask/label/dev
- conda-forge
- nvidia
dependencies:
build_all:
common:
- output_types: conda
packages:
- &cmake_ver cmake>=3.26.4
- &ninja ninja
- c-compiler
- cxx-compiler
- dlpack>=0.8,<1.0
- zlib>=1.2.13
specific:
- output_types: conda
matrices:
- matrix:
arch: x86_64
packages:
- gcc_linux-64=11.*
- sysroot_linux-64==2.17
- matrix:
arch: aarch64
packages:
- gcc_linux-aarch64=11.*
- sysroot_linux-aarch64==2.17
- 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:
- fmt>=10.1.1,<11
- &gbench benchmark==1.8.0
- >est gtest>=1.13.0
- &gmock gmock>=1.13.0
- librmm==24.6.*
- libkvikio==24.6.*
- librdkafka>=1.9.0,<1.10.0a0
# Align nvcomp version with rapids-cmake
- nvcomp==3.0.6
- spdlog>=1.12.0,<1.13
build_wheels:
common:
- output_types: [requirements, pyproject]
packages:
- wheel
- setuptools
build_python_common:
common:
- output_types: [conda, requirements, pyproject]
packages:
- *cmake_ver
- cython>=3.0.3
- *ninja
# Hard pin the patch version used during the build. This must be kept
# in sync with the version pinned in get_arrow.cmake.
- pyarrow==14.0.2.*
- output_types: conda
packages:
- scikit-build-core>=0.7.0
- output_types: pyproject
packages:
# Hard pin the patch version used during the build.
# Sync with conda build constraint & wheel run constraint.
- numpy==1.23.*
- output_types: [requirements, pyproject]
packages:
- scikit-build-core[pyproject]>=0.7.0
build_python_cudf:
common:
- output_types: conda
packages:
- &rmm_conda rmm==24.6.*
- &protobuf protobuf>=4.21,<5
- pip
- pip:
- git+https://github.com/python-streamz/streamz.git@master
- output_types: [requirements, pyproject]
packages:
- protoc-wheel
- output_types: requirements
packages:
# pip recognizes the index as a global option for the requirements.txt file
# This index is needed for rmm-cu{11,12}.
- --extra-index-url=https://pypi.nvidia.com
- --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple
- git+https://github.com/python-streamz/streamz.git@master
specific:
- output_types: [requirements, pyproject]
matrices:
- matrix: {cuda: "12.*"}
packages: &build_python_packages_cu12
- &rmm_cu12 rmm-cu12==24.6.*
- matrix: {cuda: "11.*"}
packages: &build_python_packages_cu11
- &rmm_cu11 rmm-cu11==24.6.*
- {matrix: null, packages: null }
- output_types: pyproject
matrices:
- {matrix: null, packages: [*rmm_conda] }
libarrow_build:
common:
- output_types: conda
packages:
# Hard pin the Arrow patch version used during the build. This must
# be kept in sync with the version pinned in get_arrow.cmake.
- libarrow-acero==14.0.2.*
- libarrow-dataset==14.0.2.*
- libarrow==14.0.2.*
- libparquet==14.0.2.*
libarrow_run:
common:
- output_types: conda
packages:
# Allow runtime version to float up to minor version
# Disallow libarrow 14.0.0 due to a CVE
- libarrow-acero>=14.0.1,<15.0.0a0
- libarrow-dataset>=14.0.1,<15.0.0a0
- libarrow>=14.0.1,<15.0.0a0
- libparquet>=14.0.1,<15.0.0a0
pyarrow_run:
common:
- output_types: [conda, requirements, pyproject]
packages:
# Allow runtime version to float up to minor version
# Disallow pyarrow 14.0.0 due to a CVE
- pyarrow>=14.0.1,<15.0.0a0
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
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:
- clang==16.0.6
- clang-tools=16.0.6
- &doxygen doxygen=1.9.1 # pre-commit hook needs a specific version.
docs:
common:
- output_types: [conda]
packages:
- breathe>=4.35.0
- dask-cuda==24.6.*
- *doxygen
- make
- myst-nb
- nbsphinx
- numpydoc
- pandoc
# https://github.com/pydata/pydata-sphinx-theme/issues/1539
- pydata-sphinx-theme!=0.14.2
- scipy
- sphinx
- 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: "3.9"
packages:
- python=3.9
- matrix:
py: "3.10"
packages:
- python=3.10
- matrix:
py: "3.11"
packages:
- python=3.11
- matrix:
packages:
- python>=3.9,<3.12
run_common:
common:
- output_types: [conda, requirements, pyproject]
packages:
- fsspec>=0.6.0
- numpy>=1.23,<2.0a0
- pandas>=2.0,<2.2.2dev0
run_cudf:
common:
- output_types: [conda, requirements, pyproject]
packages:
- cachetools
- &numba numba>=0.57
- nvtx>=0.2.1
- packaging
- rich
- typing_extensions>=4.0.0
- *protobuf
- output_types: conda
packages:
- *rmm_conda
- 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>=12.0,<13.0a0
- matrix: {cuda: "11.*"}
packages: &run_cudf_packages_all_cu11
- cuda-python>=11.7.1,<12.0a0
- {matrix: null, packages: *run_cudf_packages_all_cu11}
- output_types: conda
matrices:
- matrix: {cuda: "12.*"}
packages:
- pynvjitlink
- matrix: {cuda: "11.*"}
packages:
- cubinlinker
- ptxcompiler
- output_types: [requirements, pyproject]
matrices:
- matrix: {cuda: "12.*"}
packages:
- rmm-cu12==24.6.*
- pynvjitlink-cu12
- matrix: {cuda: "11.*"}
packages:
- rmm-cu11==24.6.*
- cubinlinker-cu11
- ptxcompiler-cu11
- {matrix: null, packages: null}
- output_types: pyproject
matrices:
- {matrix: null, packages: [cubinlinker, ptxcompiler, *rmm_conda] }
run_dask_cudf:
common:
- output_types: [conda, requirements, pyproject]
packages:
- rapids-dask-dependency==24.6.*
run_custreamz:
common:
- output_types: conda
packages:
- python-confluent-kafka>=1.9.0,<1.10.0a0
- output_types: [conda, requirements, pyproject]
packages:
- streamz
- output_types: [requirements, pyproject]
packages:
- confluent-kafka>=1.9.0,<1.10.0a0
test_cpp:
common:
- output_types: conda
packages:
- *cmake_ver
- *gbench
- *gtest
- *gmock
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:
test_java:
common:
- output_types: conda
packages:
- *cmake_ver
- maven
- openjdk=8.*
test_python_common:
common:
- output_types: [conda, requirements, pyproject]
packages:
- pytest<8
- pytest-cov
- pytest-xdist
test_python_cudf:
common:
- output_types: [conda, requirements, pyproject]
packages:
- cramjam
- fastavro>=0.22.9
- hypothesis
- pytest-benchmark
- pytest-cases>=3.8.2
- scipy
- 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
- output_types: pyproject
packages:
- msgpack
- &tokenizers tokenizers==0.15.2
- &transformers transformers==4.38.1
- tzdata
specific:
- output_types: conda
matrices:
- matrix:
arch: x86_64
packages:
# Currently, CUDA + aarch64 builds of pytorch do not exist on conda-forge.
- pytorch>=2.1.0
# We only install these on x86_64 to avoid pulling pytorch as a
# dependency of transformers.
- *tokenizers
- *transformers
- matrix:
packages:
test_python_dask_cudf:
common:
- output_types: [conda, requirements, pyproject]
packages:
- dask-cuda==24.6.*
- *numba
depends_on_cudf:
common:
- output_types: conda
packages:
- &cudf_conda cudf==24.6.*
- 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: [requirements, pyproject]
matrices:
- matrix: {cuda: "12.*"}
packages:
- cudf-cu12==24.6.*
- matrix: {cuda: "11.*"}
packages:
- cudf-cu11==24.6.*
- {matrix: null, packages: [*cudf_conda]}
depends_on_cudf_kafka:
common:
- output_types: conda
packages:
- &cudf_kafka_conda cudf_kafka==24.6.*
- 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: [requirements, pyproject]
matrices:
- matrix: {cuda: "12.*"}
packages:
- cudf_kafka-cu12==24.6.*
- matrix: {cuda: "11.*"}
packages:
- cudf_kafka-cu11==24.6.*
- {matrix: null, packages: [*cudf_kafka_conda]}
depends_on_cupy:
common:
- output_types: conda
packages:
- cupy>=12.0.0
specific:
- output_types: [requirements, pyproject]
matrices:
- matrix: {cuda: "12.*"}
packages:
- cupy-cuda12x>=12.0.0
- matrix: {cuda: "11.*"}
packages: &cupy_packages_cu11
- cupy-cuda11x>=12.0.0
- {matrix: null, packages: *cupy_packages_cu11}
test_python_pandas_cudf:
common:
- output_types: pyproject
packages:
# dependencies to run pandas tests
# https://github.com/pandas-dev/pandas/blob/main/environment.yml
# pandas[...] includes all of the required dependencies.
# Intentionally excluding `postgresql` because of
# installation issues with `psycopg2`.
- pandas[test, pyarrow, performance, computation, fss, excel, parquet, feather, hdf5, spss, html, xml, plot, output-formatting, clipboard, compression]
- pytest-reportlog
test_python_cudf_pandas:
common:
- output_types: pyproject
packages:
- ipython
- openpyxl