meta.yaml

{% set version = "1.26.4" %}

package:
  name: numpy
  version: {{ version }}

# use 'python_impl' in meta.yaml so it gets picked up by rendering
# [python_impl == "pypy"]

source:
  - url: https://github.com/numpy/numpy/releases/download/v{{ version }}/numpy-{{ version }}.tar.gz
    sha256: 2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010
  # the sources by upstream themselves (as opposed to automated by github) contain the
  # svml submodule (which isn't in github tarball due to dear-github/dear-github#214);
  # keep this for reference & debugging when necessary; for exact commit, see:
  # https://github.com/numpy/numpy/tree/v{{ version }}/numpy/core/src/umath
  # - git_url: https://github.com/numpy/SVML.git
  #   git_rev: 1c5260a61e7dce6be48073dfa96291edb0a11d79
  #   folder: numpy/core/src/umath/svml
  # - git_url: https://github.com/intel/x86-simd-sort.git
  #   git_rev: 6283f2491cebe2332795943e30e31828178e5efd
  #   folder: numpy/core/src/npysort/x86-simd-sort

build:
  number: 0
  skip: true  # [py<39]
  entry_points:
    - f2py = numpy.f2py.f2py2e:main  # [win]
  run_exports:
    - {{ pin_subpackage("numpy") }}

requirements:
  build:
    - python                                 # [build_platform != target_platform]
    - cross-python_{{ target_platform }}     # [build_platform != target_platform]
    - cython                                 # [build_platform != target_platform]
    - ninja                                  # [build_platform != target_platform]
    - pkg-config                             # [build_platform != target_platform]
    - {{ compiler('c') }}
    - {{ compiler('cxx') }}
  host:
    - pip
    # temporarily vendored by numpy
    # - meson
    - meson-python
    - ninja
    - pkg-config
    - python
    - python-build
    - cython
    - libblas
    - libcblas
    - liblapack
  run:
    - python
  run_constrained:
    # enforce eviction of package from anaconda defaults
    - numpy-base <0a0

{% set tests_to_skip = "_not_a_real_test" %}
# there are some tests that cannot really work in emulation, see e.g. numpy/numpy#20445
{% set tests_to_skip = tests_to_skip + " or Test_ARM_Features" %}                   # [build_platform != target_platform]
{% set tests_to_skip = tests_to_skip + " or Test_POWER_Features" %}                 # [build_platform != target_platform]
# test_new_policy reruns part of test suite; including a CPU feature test that fails in emulation
{% set tests_to_skip = tests_to_skip + " or test_new_policy" %}                     # [build_platform != target_platform]
# emulation problems (apparently) on aarch
{% set tests_to_skip = tests_to_skip + " or test_basic_property[float32" %}         # [aarch64]
# problems with windows + pypy + meson
{% set tests_to_skip = tests_to_skip + " or test_cython or test_mem_policy" %}      # [win and python_impl == "pypy"]
{% set tests_to_skip = tests_to_skip + " or test_multi_fortran_libs_link" %}        # [win and python_impl == "pypy"]
{% set tests_to_skip = tests_to_skip + " or (test_extending and test_cython)" %}    # [win and python_impl == "pypy"]
{% set tests_to_skip = tests_to_skip + " or (test_scripts and test_pep338)" %}      # [win and python_impl == "pypy"]

test:
  requires:
    - pytest
    - pytest <8            # [python_impl == "pypy"]
    - pytest-timeout
    - pytest-xdist
    # (mostly) optional test requirements (except wheel, python-cov, mypy), see
    # https://github.com/numpy/numpy/blob/main/requirements/test_requirements.txt
    - cffi                 # [py<=39 and python_impl != "pypy"]
    - cython
    - hypothesis
    - meson
    - pytz
    - setuptools <60.0.0   # [py<=311]
    - setuptools           # [py==312]
    - typing_extensions
    # some linux tests need a C/C++ compiler;
    # extra f2py tests need a fortran compiler
    - {{ compiler('c') }}        # [linux]
    - {{ compiler('cxx') }}      # [linux]
    - {{ compiler('fortran') }}  # [linux]
  commands:
    - f2py -h
    # numpy.test will show SIMD features of agent (in the past, there have been
    # failures that occured depending on presence/absence of e.g. AVX512);
    # for signature of numpy.test see the following (note default: label='fast'),
    # https://github.com/numpy/numpy/blob/maintenance/1.22.x/numpy/_pytesttester.py#L81-L82
    {% set label = "'fast'" if ((aarch64 or ppc64le) and python_impl == "pypy") else "'full'" %}
    {% set param = "verbose=1, label=" + label + ", tests=None" %}
    {% set extra = "extra_argv=['-k', 'not (" + tests_to_skip + ")', '-nauto', '--timeout=3000', '--durations=50', '--maxfail=100']" %}
    - python -c "import numpy, sys; sys.exit(not numpy.test({{ param }}, {{ extra }}))"
  imports:
    - numpy
    # reference for public API is effectively
    # https://github.com/numpy/numpy/blame/main/numpy/tests/test_public_api.py
    - numpy.array_api
    - numpy.array_api.linalg
    - numpy.ctypeslib
    - numpy.distutils           # [py<312]
    - numpy.dtypes
    - numpy.exceptions
    - numpy.f2py
    - numpy.fft
    - numpy.lib
    - numpy.lib.mixins
    - numpy.lib.recfunctions
    - numpy.lib.scimath
    - numpy.linalg
    - numpy.ma
    - numpy.ma.extras
    - numpy.ma.mrecords
    - numpy.matlib
    - numpy.polynomial
    - numpy.random
    - numpy.testing
    - numpy.typing
    - numpy.version
    # some private modules that were once upon a time
    # determined to be useful packaging checks
    - numpy.core.multiarray
    - numpy.core.numeric
    - numpy.core.umath
    - numpy.linalg.lapack_lite
    - numpy.random.mtrand

about:
  home: http://numpy.org/
  license: BSD-3-Clause
  license_file: LICENSE.txt
  summary: The fundamental package for scientific computing with Python.
  doc_url: https://numpy.org/doc/stable/
  dev_url: https://github.com/numpy/numpy

extra:
  recipe-maintainers:
    - jakirkham
    - msarahan
    - pelson
    - rgommers
    - ocefpaf
    - isuruf
    - xhochy
    - h-vetinari