# This file created by conda-build 3.24.0
# meta.yaml template originally from:
# /work/aggregate/mkl_random-feedstock/recipe, last modified Mon May  1 13:35:44 2023
# ------------------------------------------------

package:
  name: mkl_random
  version: 1.2.2
source:
  patches:
    - patches/0001-fix-sat-5359.patch
  sha256: 7f3fd565c55e9fc83bc617764ba631f716041e9c58d6805fcf864928ff2b4b33
  url: https://github.com/IntelPython/mkl_random/archive/v1.2.2.post1.tar.gz
build:
  ignore_run_exports:
    - blas
  number: '1'
  string: py311ha02d727_1
requirements:
  build:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - _sysroot_linux-64_curr_repodata_hack 3 haa98f57_10
    - binutils_impl_linux-64 2.38 h2a08ee3_1
    - binutils_linux-64 2.38.0 hc2dff05_0
    - gcc_impl_linux-64 11.2.0 h1234567_1
    - gcc_linux-64 11.2.0 h5c386dc_0
    - gxx_impl_linux-64 11.2.0 h1234567_1
    - gxx_linux-64 11.2.0 hc2dff05_0
    - kernel-headers_linux-64 3.10.0 h57e8cba_10
    - ld_impl_linux-64 2.38 h1181459_1
    - libgcc-devel_linux-64 11.2.0 h1234567_1
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-devel_linux-64 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - patch 2.7.6 h7b6447c_1001
    - sysroot_linux-64 2.17 h57e8cba_10
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - blas 1.0 mkl
    - bzip2 1.0.8 h7b6447c_0
    - ca-certificates 2023.01.10 h06a4308_0
    - cython 0.29.33 py311h6a678d5_0
    - intel-openmp 2023.1.0 hdb19cb5_46305
    - ld_impl_linux-64 2.38 h1181459_1
    - libffi 3.4.2 h6a678d5_6
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - libuuid 1.41.5 h5eee18b_0
    - mkl 2023.1.0 h6d00ec8_46342
    - mkl-devel 2023.1.0 h2fb9e7e_46342
    - mkl-include 2023.1.0 h06a4308_46342
    - mkl-service 2.4.0 py311h5eee18b_1
    - ncurses 6.4 h6a678d5_0
    - numpy-base 1.23.5 py311ha74f08c_1
    - openssl 1.1.1t h7f8727e_0
    - pip 23.0.1 py311h06a4308_0
    - python 3.11.3 h7a1cb2a_0
    - readline 8.2 h5eee18b_0
    - setuptools 66.0.0 py311h06a4308_0
    - sqlite 3.41.2 h5eee18b_0
    - tbb 2021.8.0 hdb19cb5_0
    - tk 8.6.12 h1ccaba5_0
    - tzdata 2023c h04d1e81_0
    - wheel 0.38.4 py311h06a4308_0
    - xz 5.2.10 h5eee18b_1
    - zlib 1.2.13 h5eee18b_0
  run:
    - libgcc-ng >=11.2.0
    - libstdcxx-ng >=11.2.0
    - mkl >=2023.1.0,<2024.0a0
    - mkl-service >=2.3.0,<3.0a0
    - numpy >=1.23,<2.0a0
    - python >=3.11,<3.12.0a0
test:
  commands:
    - nosetests -v -e test_hypergeometric mkl_random
  imports:
    - mkl_random
    - mkl_random.mklrand
  requires:
    - nose
about:
  description: NumPy-based implementation of random number generation sampling using
    Intel (R) Math Kernel Library, mirroring numpy.random, but exposing all choices
    of sampling algorithms available in MKL.
  dev_url: https://github.com/IntelPython/mkl_random
  doc_url: https://github.com/IntelPython/mkl_random
  home: https://github.com/IntelPython/mkl_random
  license: BSD-3-Clause
  license_family: BSD
  license_file: LICENSE.txt
  summary: Intel (R) MKL-powered package for sampling from common probability distributions
    into NumPy arrays.
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - oleksandr-pavlyk