# This file created by conda-build 3.23.3
# ------------------------------------------------

package:
  name: numpy-base
  version: 1.19.5
source:
  patches:
    - 0001-Obtain-and-prefer-custom-gfortran-from-env-variable.patch
    - 0002-intel_mkl-version.patch
    - 0003-intel_init_mkl.patch
  sha256: d1654047d75fb9d55cc3d46f312d5247eec5f4999039874d2f571bb8021d8f0b
  url: https://github.com/numpy/numpy/releases/download/v1.19.5/numpy-1.19.5.tar.gz
build:
  entry_points: null
  ignore_run_exports:
    - libgfortran5
  missing_dso_whitelist: null
  number: 4
  string: py37h1e574ef_4
requirements:
  build:
    - cctools_osx-64 949.0.1 hc7db93f_25
    - clang 12.0.0 hecd8cb5_2
    - clang-12 12.0.0 default_hfcad0e5_2
    - clang_osx-64 12.0.0 h7ad7729_2
    - clangxx 12.0.0 default_hfcad0e5_2
    - compiler-rt 12.0.0 hd87ff74_2
    - compiler-rt_osx-64 12.0.0 hfb26b64_2
    - gfortran_impl_osx-64 11.2.0 h9ffa1cf_26
    - gfortran_osx-64 11.2.0 h96634ac_0
    - gmp 6.2.1 he9d5cce_3
    - isl 0.22.1 he9d5cce_3
    - ld64_osx-64 530 h70f3046_23
    - ldid 2.1.2 h2d21305_2
    - libclang-cpp12 12.0.0 default_hfcad0e5_2
    - libcxx 14.0.6 h9765a3e_0
    - libffi 3.4.2 hecd8cb5_6
    - libgfortran 5.0.0 11_3_0_hecd8cb5_28
    - libgfortran-devel_osx-64 11.2.0 ha23277d_26
    - libgfortran5 11.3.0 h9dfd629_28
    - libiconv 1.16 hca72f7f_2
    - libllvm12 12.0.0 h9b2ccf5_3
    - libllvm14 14.0.6 h91fad77_1
    - llvm-openmp 14.0.6 h0dcd299_0
    - llvm-tools 12.0.0 h9b2ccf5_3
    - lz4-c 1.9.4 hcec6c5f_0
    - mpc 1.1.0 h6ef4df4_1
    - mpfr 4.0.2 h9066e36_1
    - tapi 1000.10.8 ha1b3eb9_0
    - xz 5.2.10 h6c40b1e_1
    - zlib 1.2.13 h4dc903c_0
    - zstd 1.5.2 hcb37349_0
  host:
    - blas 1.0 mkl
    - ca-certificates 2023.01.10 hecd8cb5_0
    - certifi 2022.12.7 py37hecd8cb5_0
    - cython 0.29.33 py37hcec6c5f_0
    - intel-openmp 2021.4.0 hecd8cb5_3538
    - libcxx 14.0.6 h9765a3e_0
    - libffi 3.4.2 hecd8cb5_6
    - libgfortran 5.0.0 11_3_0_hecd8cb5_28
    - libgfortran5 11.3.0 h9dfd629_28
    - llvm-openmp 14.0.6 h0dcd299_0
    - mkl 2021.4.0 hecd8cb5_637
    - mkl-devel 2021.4.0 h96f910b_637
    - mkl-include 2021.4.0 hecd8cb5_637
    - ncurses 6.4 hcec6c5f_0
    - openssl 1.1.1t hca72f7f_0
    - pip 22.3.1 py37hecd8cb5_0
    - python 3.7.16 h218abb5_0
    - readline 8.2 hca72f7f_0
    - setuptools 49.1.3 py37hecd8cb5_0
    - sqlite 3.40.1 h880c91c_0
    - tk 8.6.12 h5d9f67b_0
    - wheel 0.35.1 pyhd3eb1b0_0
    - xz 5.2.10 h6c40b1e_1
    - zlib 1.2.13 h4dc903c_0
  run:
    - blas 1.0 mkl
    - libgfortran 5.*
    - mkl >=2021.4.0,<2022.0a0
    - mkl-service >=2.3.0,<3.0a0
    - python >=3.7,<3.8.0a0
test:
  commands:
    - test -e $SP_DIR/numpy/distutils/site.cfg
about:
  description: 'NumPy is the fundamental package needed for scientific computing with
    Python.

    '
  dev_source_url: https://github.com/numpy/numpy/tree/master/doc
  dev_url: https://github.com/numpy/numpy
  doc_url: https://numpy.org/doc
  home: https://numpy.org/
  license: BSD-3-Clause
  license_family: BSD
  license_file: LICENSE.txt
  summary: Array processing for numbers, strings, records, and objects.
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: 6dfe6dc2-f8b1-4329-b8b7-16a4ec30ba3c
  recipe-maintainers:
    - chenghlee
    - jakirkham
    - msarahan
    - ocefpaf
    - pelson
    - rgommers
  remote_url: git@github.com:AnacondaRecipes/numpy-feedstock.git
  sha: cc6ca496a8668f7531ffa3edb264b37932acc8ff
