# This file created by conda-build 24.1.2
# ------------------------------------------------

package:
  name: numpy
  version: 1.26.4
source:
  patches:
    - patches/0003-intel_init_mkl.patch
  sha256: 2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010
  url: https://github.com/numpy/numpy/releases/download/v1.26.4/numpy-1.26.4.tar.gz
build:
  number: 0
  string: py312hfd52020_0
requirements:
  build:
    - vs2019_win-64 19.27.29111 ha89c4d3_2
    - vswhere 2.8.4 haa95532_0
  host:
    - blas 1.0 mkl
    - bzip2 1.0.8 he774522_0
    - ca-certificates 2023.12.12 haa95532_0
    - expat 2.5.0 hd77b12b_0
    - intel-openmp 2023.1.0 h59b6b97_46320
    - libffi 3.4.4 hd77b12b_0
    - mkl 2023.1.0 h6b88ed4_46358
    - mkl-devel 2023.1.0 h712c094_46358
    - mkl-include 2023.1.0 haa95532_46358
    - openssl 3.0.13 h2bbff1b_0
    - python 3.12.1 h1d929f7_0
    - sqlite 3.41.2 h2bbff1b_0
    - tbb 2021.8.0 h59b6b97_0
    - tk 8.6.12 h2bbff1b_0
    - tzdata 2023d h04d1e81_0
    - vc 14.2 h21ff451_1
    - vs2015_runtime 14.27.29016 h5e58377_2
    - xz 5.4.5 h8cc25b3_0
    - zlib 1.2.13 h8cc25b3_0
  run:
    - blas 1.0 mkl
    - mkl >=2023.1.0,<2024.0a0
    - mkl-service >=2.3.0,<3.0a0
    - mkl_fft
    - mkl_random
    - numpy-base 1.26.4 py312h4dde369_0
    - python >=3.12,<3.13.0a0
    - vc >=14.2,<15.0a0
    - vs2015_runtime >=14.27.29016,<15.0a0
test:
  commands:
    - f2py -h
    - python -c "import numpy; numpy.show_config()"
    - set OPENBLAS_NUM_THREADS=1
    - pytest -vv --pyargs numpy -k "not (_not_a_real_test)" --durations=50 --durations-min=1.0
  imports:
    - numpy
    - numpy.array_api
    - numpy.array_api.linalg
    - numpy.core.multiarray
    - numpy.core.numeric
    - numpy.core.umath
    - numpy.ctypeslib
    - numpy.doc
    - numpy.doc.constants
    - numpy.doc.ufuncs
    - numpy.dtypes
    - numpy.exceptions
    - numpy.f2py
    - numpy.fft
    - numpy.lib
    - numpy.lib.format
    - numpy.lib.mixins
    - numpy.lib.recfunctions
    - numpy.lib.scimath
    - numpy.lib.stride_tricks
    - numpy.linalg
    - numpy.linalg.lapack_lite
    - numpy.ma
    - numpy.ma.extras
    - numpy.ma.mrecords
    - numpy.matlib
    - numpy.polynomial
    - numpy.polynomial.chebyshev
    - numpy.polynomial.hermite
    - numpy.polynomial.hermite_e
    - numpy.polynomial.laguerre
    - numpy.polynomial.legendre
    - numpy.polynomial.polynomial
    - numpy.random
    - numpy.random.mtrand
    - numpy.testing
    - numpy.testing.overrides
    - numpy.typing
    - numpy.typing.mypy_plugin
    - numpy.version
  requires:
    - charset-normalizer
    - hypothesis >=6.81.1
    - intel-fortran_win-64 2022.1.0.*
    - meson
    - mypy >=1.5.1
    - pip
    - pytest >=7.4.0
    - pytest-cov >=4.1.0
    - pytest-xdist
    - pytz >=2023.3.post1
    - typing-extensions >=4.2.0
    - vs2019_win-64
about:
  description: 'NumPy is the fundamental package needed for scientific computing with
    Python.

    '
  dev_url: https://github.com/numpy/numpy
  doc_url: https://numpy.org/doc/stable/reference/
  home: https://numpy.org/
  license: BSD-3-Clause
  license_family: BSD
  license_file:
    - LICENSE.txt
    - LICENSES_bundled.txt
  summary: Array processing for numbers, strings, records, and objects.
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: c15dc75e-93d8-45f9-ac57-cb6f436d04e3
  recipe-maintainers:
    - chenghlee
    - jakirkham
    - msarahan
    - ocefpaf
    - pelson
    - rgommers
  remote_url: [email protected]:AnacondaRecipes/numpy-feedstock.git
  sha: 9983e13336406d6e22c01102d5768c97b51f9f3d