# This file created by conda-build 24.9.0
# meta.yaml template originally from:
# /io/mkl_random-feedstock/recipe, last modified Tue Nov  5 16:23:47 2024
# ------------------------------------------------

package:
  name: mkl_random
  version: 1.2.8
source:
  sha256: b15a7f65903470ee96de05360886c2e3327a6a2f178aeba74405e2e627d7820c
  url: https://github.com/IntelPython/mkl_random/archive/v1.2.8.tar.gz
build:
  ignore_run_exports:
    - blas
  number: '0'
  script: /io/mkl313/mkl_random_1730823916628/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_pl/bin/python
    -m pip install --no-build-isolation --no-deps .
  script_env:
    - MKLROOT=/io/mkl313/mkl_random_1730823916628/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_pl
  string: py312h526ad5a_0
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 2.40 h5293946_0
    - binutils_linux-64 2.40.0 hc2dff05_1
    - gcc_impl_linux-64 11.2.0 h1234567_1
    - gcc_linux-64 11.2.0 h5c386dc_1
    - gxx_impl_linux-64 11.2.0 h1234567_1
    - gxx_linux-64 11.2.0 hc2dff05_1
    - kernel-headers_linux-64 3.10.0 h57e8cba_10
    - ld_impl_linux-64 2.40 h12ee557_0
    - 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
    - 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 h5eee18b_6
    - ca-certificates 2024.9.24 h06a4308_0
    - cython 3.0.11 py312h5eee18b_0
    - expat 2.6.3 h6a678d5_0
    - intel-openmp 2023.1.0 hdb19cb5_46306
    - ld_impl_linux-64 2.40 h12ee557_0
    - libffi 3.4.4 h6a678d5_1
    - 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 h213fc3f_46344
    - mkl-devel 2023.1.0 h3a03a7a_46344
    - mkl-include 2023.1.0 h06a4308_46344
    - mkl-service 2.4.0 py312h5eee18b_1
    - ncurses 6.4 h6a678d5_0
    - numpy-base 2.1.2 py312h4eb8fa4_0
    - openssl 3.0.15 h5eee18b_0
    - pip 24.2 py312h06a4308_0
    - python 3.12.7 h5148396_0
    - readline 8.2 h5eee18b_0
    - setuptools 72.1.0 py312h06a4308_0
    - sqlite 3.45.3 h5eee18b_0
    - tbb 2021.8.0 hdb19cb5_0
    - tk 8.6.14 h39e8969_0
    - tzdata 2024b h04d1e81_0
    - wheel 0.44.0 py312h06a4308_0
    - xz 5.4.6 h5eee18b_1
    - zlib 1.2.13 h5eee18b_1
  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 >=1.16
    - python >=3.12,<3.13.0a0
test:
  commands:
    - pip check
    - pytest --pyargs mkl_random
  imports:
    - mkl_random
    - mkl_random.mklrand
  requires:
    - mkl-service
    - numpy
    - pip
    - pytest
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
