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|
# NOTE: In constrast to the conda-forge recipe, ARROW_VERSION is a templated variable here.
{% set version = ARROW_VERSION %}
{% set cuda_enabled = cuda_compiler_version != "None" %}
{% set build_ext_version = ARROW_VERSION %}
{% set build_ext = "cuda" if cuda_enabled else "cpu" %}
{% set proc_build_number = "0" %}
package:
name: arrow-cpp-ext
version: {{ version }}
source:
path: ../../../../
build:
number: 0
# for cuda on win/linux, building with 9.2 is enough to be compatible with all later versions,
# since arrow is only using libcuda, and not libcudart.
skip: true # [(win or linux) and cuda_compiler_version not in ("None", "10.2")]
skip: true # [osx and cuda_compiler_version != "None"]
run_exports:
- {{ pin_subpackage("arrow-cpp", max_pin="x.x.x") }}
outputs:
- name: arrow-cpp-proc
version: {{ build_ext_version }}
build:
number: {{ proc_build_number }}
string: "{{ build_ext }}"
test:
commands:
- exit 0
about:
home: http://github.com/apache/arrow
license: Apache-2.0
license_file:
- LICENSE.txt
summary: 'A meta-package to select Arrow build variant'
- name: arrow-cpp
script: build-arrow.sh # [not win]
script: bld-arrow.bat # [win]
version: {{ version }}
build:
string: py{{ CONDA_PY }}h{{ PKG_HASH }}_{{ PKG_BUILDNUM }}_{{ build_ext }}
run_exports:
- {{ pin_subpackage("arrow-cpp", max_pin="x.x.x") }}
ignore_run_exports:
- cudatoolkit
track_features:
{{ "- arrow-cuda" if cuda_enabled else "" }}
requirements:
build:
- python # [build_platform != target_platform]
- cross-python_{{ target_platform }} # [build_platform != target_platform]
- cython # [build_platform != target_platform]
- numpy # [build_platform != target_platform]
- gnuconfig # [osx and arm64]
- libprotobuf
- grpc-cpp
- cmake
- autoconf # [unix]
- ninja
- make # [unix]
- {{ compiler('c') }}
- {{ compiler('cxx') }}
- {{ compiler("cuda") }} # [cuda_compiler_version != "None"]
host:
- aws-sdk-cpp
- boost-cpp >=1.70
- brotli
- bzip2
- c-ares
- gflags
- glog
- grpc-cpp
- libprotobuf
- clangdev 10 # [not (osx and arm64)]
- llvmdev 10 # [not (osx and arm64)]
- libutf8proc
- lz4-c
- numpy
- orc # [unix]
- python
- rapidjson
- re2
- snappy
- thrift-cpp
- zlib
- zstd
run:
- {{ pin_compatible('numpy', lower_bound='1.16') }}
- python
run_constrained:
- arrow-cpp-proc * {{ build_ext }}
- cudatoolkit >=9.2 # [cuda_compiler_version != "None"]
about:
home: http://github.com/apache/arrow
license: Apache-2.0
license_file:
- LICENSE.txt
summary: C++ libraries for Apache Arrow
test:
commands:
# headers
- test -f $PREFIX/include/arrow/api.h # [unix]
- test -f $PREFIX/include/arrow/flight/types.h # [unix]
- test -f $PREFIX/include/plasma/client.h # [unix]
- test -f $PREFIX/include/gandiva/engine.h # [unix and not (osx and arm64)]
- test -f $PREFIX/include/parquet/api/reader.h # [unix]
- if not exist %LIBRARY_INC%\\arrow\\api.h exit 1 # [win]
- if not exist %LIBRARY_INC%\\gandiva\\engine.h exit 1 # [win]
- if not exist %LIBRARY_INC%\\parquet\\api\\reader.h exit 1 # [win]
# shared
- test -f $PREFIX/lib/libarrow.so # [linux]
- test -f $PREFIX/lib/libarrow_dataset.so # [linux]
- test -f $PREFIX/lib/libarrow_flight.so # [linux]
- test -f $PREFIX/lib/libarrow_python.so # [linux]
- test -f $PREFIX/lib/libparquet.so # [linux]
- test -f $PREFIX/lib/libgandiva.so # [linux]
- test -f $PREFIX/lib/libplasma.so # [linux]
- test -f $PREFIX/lib/libarrow_cuda${SHLIB_EXT} # [(cuda_compiler_version != "None") and unix]
- test ! -f $PREFIX/lib/libarrow_cuda${SHLIB_EXT} # [(cuda_compiler_version == "None") and unix]
- if not exist %PREFIX%\\Library\\bin\\arrow_cuda.dll exit 1 # [(cuda_compiler_version != "None") and win]
- if exist %PREFIX%\\Library\\bin\\arrow_cuda.dll exit 1 # [(cuda_compiler_version == "None") and win]
- test -f $PREFIX/lib/libarrow.dylib # [osx]
- test -f $PREFIX/lib/libarrow_dataset.dylib # [osx]
- test -f $PREFIX/lib/libarrow_python.dylib # [osx]
- test -f $PREFIX/lib/libgandiva.dylib # [osx and not arm64]
- test -f $PREFIX/lib/libparquet.dylib # [osx]
- test -f $PREFIX/lib/libplasma.dylib # [osx]
- if not exist %PREFIX%\\Library\\bin\\arrow.dll exit 1 # [win]
- if not exist %PREFIX%\\Library\\bin\\arrow_dataset.dll exit 1 # [win]
- if not exist %PREFIX%\\Library\\bin\\arrow_flight.dll exit 1 # [win]
- if not exist %PREFIX%\\Library\\bin\\arrow_python.dll exit 1 # [win]
- if not exist %PREFIX%\\Library\\bin\\parquet.dll exit 1 # [win]
- if not exist %PREFIX%\\Library\\bin\\gandiva.dll exit 1 # [win]
# absence of static libraries
- test ! -f $PREFIX/lib/libarrow.a # [unix]
- test ! -f $PREFIX/lib/libarrow_dataset.a # [unix]
- test ! -f $PREFIX/lib/libarrow_flight.a # [unix]
- test ! -f $PREFIX/lib/libarrow_python.a # [unix]
- test ! -f $PREFIX/lib/libplasma.a # [unix]
- test ! -f $PREFIX/lib/libparquet.a # [unix]
- test ! -f $PREFIX/lib/libgandiva.a # [unix]
- if exist %PREFIX%\\Library\\lib\\arrow_static.lib exit 1 # [win]
- if exist %PREFIX%\\Library\\lib\\arrow_dataset_static.lib exit 1 # [win]
- if exist %PREFIX%\\Library\\lib\\arrow_flight_static.lib exit 1 # [win]
- if exist %PREFIX%\\Library\\lib\\arrow_python_static.lib exit 1 # [win]
- if exist %PREFIX%\\Library\\lib\\parquet_static.lib exit 1 # [win]
- if exist %PREFIX%\\Library\\lib\\gandiva_static.lib exit 1 # [win]
- name: pyarrow
script: build-pyarrow.sh # [not win]
script: bld-pyarrow.bat # [win]
version: {{ version }}
build:
string: py{{ CONDA_PY }}h{{ PKG_HASH }}_{{ PKG_BUILDNUM }}_{{ build_ext }}
ignore_run_exports:
- cudatoolkit
track_features:
{{ "- arrow-cuda" if cuda_enabled else "" }}
requirements:
build:
- python # [build_platform != target_platform]
- cross-python_{{ target_platform }} # [build_platform != target_platform]
- cython # [build_platform != target_platform]
- numpy # [build_platform != target_platform]
- cmake
- ninja
- make # [unix]
- {{ compiler('c') }}
- {{ compiler('cxx') }}
# pyarrow does not require nvcc but it needs to link against libraries in arrow-cpp=*=*cuda
- {{ compiler("cuda") }} # [cuda_compiler_version != "None"]
host:
- {{ pin_subpackage('arrow-cpp', exact=True) }}
- cython
- numpy
- python
- setuptools
- setuptools_scm
- six
run:
- {{ pin_subpackage('arrow-cpp', exact=True) }}
- {{ pin_compatible('numpy', lower_bound='1.16') }}
# empty parquet-cpp metapackage, force old versions to be uninstalled
- parquet-cpp 1.5.1.*
- python
run_constrained:
- arrow-cpp-proc * {{ build_ext }}
- cudatoolkit >=9.2 # [cuda_compiler_version != "None"]
about:
home: http://github.com/apache/arrow
license: Apache-2.0
license_file:
- LICENSE.txt
summary: Python libraries for Apache Arrow
test:
imports:
- pyarrow
- pyarrow.dataset
- pyarrow.flight
- pyarrow.gandiva # [not (osx and arm64)]
- pyarrow.orc # [unix]
- pyarrow.parquet
- pyarrow.plasma # [unix]
- pyarrow.fs
- pyarrow._s3fs
- pyarrow._hdfs
# We can only test importing cuda package but cannot run when a
# CUDA device is not available, for instance, when building from CI.
# On Windows, we cannot even do that due to `nvcuda.dll` not being found, see
# https://conda-forge.org/docs/maintainer/knowledge_base.html#nvcuda-dll-cannot-be-found-on-windows
# However, we check below for (at least) the presence of a correctly-compiled module
- pyarrow.cuda # [cuda_compiler_version != "None" and not win]
commands:
- test ! -f ${SP_DIR}/pyarrow/tests/test_array.py # [unix]
- if exist %SP_DIR%/pyarrow/tests/test_array.py exit 1 # [win]
# Need to remove dot from PY_VER; %MYVAR:x=y% replaces "x" in %MYVAR% with "y"
- if not exist %SP_DIR%/pyarrow/_cuda.cp%PY_VER:.=%-win_amd64.pyd exit 1 # [win and cuda_compiler_version != "None"]
- name: pyarrow-tests
script: build-pyarrow.sh # [not win]
script: bld-pyarrow.bat # [win]
version: {{ version }}
build:
string: py{{ CONDA_PY }}h{{ PKG_HASH }}_{{ PKG_BUILDNUM }}_{{ build_ext }}
ignore_run_exports:
- cudatoolkit
track_features:
{{ "- arrow-cuda" if cuda_enabled else "" }}
requirements:
build:
- python # [build_platform != target_platform]
- cross-python_{{ target_platform }} # [build_platform != target_platform]
- cython # [build_platform != target_platform]
- numpy # [build_platform != target_platform]
- cmake
- ninja
- make # [unix]
- {{ compiler('c') }}
- {{ compiler('cxx') }}
# pyarrow does not require nvcc but it needs to link against libraries in arrow-cpp=*=*cuda
- {{ compiler("cuda") }} # [cuda_compiler_version != "None"]
host:
- {{ pin_subpackage('arrow-cpp', exact=True) }}
- {{ pin_subpackage('pyarrow', exact=True) }}
- cython
- numpy
- python
- setuptools
- setuptools_scm
- six
run:
- {{ pin_subpackage('pyarrow', exact=True) }}
- python
run_constrained:
- arrow-cpp-proc * {{ build_ext }}
- cudatoolkit >=9.2 # [cuda_compiler_version != "None"]
about:
home: http://github.com/apache/arrow
license: Apache-2.0
license_file:
- LICENSE.txt
summary: Python test files for Apache Arrow
test:
commands:
- test -f ${SP_DIR}/pyarrow/tests/test_array.py # [unix]
- if not exist %SP_DIR%/pyarrow/tests/test_array.py exit 1 # [win]
about:
home: http://github.com/apache/arrow
license: Apache-2.0
license_file:
- LICENSE.txt
summary: C++ and Python libraries for Apache Arrow
extra:
recipe-maintainers:
- wesm
- xhochy
- leifwalsh
- jreback
- cpcloud
- pcmoritz
- robertnishihara
- siddharthteotia
- kou
- kszucs
- pitrou
- pearu
- nealrichardson
- jakirkham
|
