# This file created by conda-build 3.24.0
# meta.yaml template originally from:
# /feedstock/recipe, last modified Mon Sep 18 17:56:34 2023
# ------------------------------------------------

package:
  name: mkl_random
  version: 1.2.4
source:
  sha256: 9161eee81fbf27934eac1bc0d26ad3b933a582721fa66fe87e930ff2e9867c52
  url: https://github.com/IntelPython/mkl_random/archive/v1.2.4.tar.gz
build:
  ignore_run_exports:
    - blas
  number: '0'
  script: /croot/mkl_random_1695059800811/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/bin/python
    -m pip install --no-build-isolation --no-deps .
  script_env:
    - MKLROOT=/croot/mkl_random_1695059800811/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh
  string: py311hdb19cb5_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 2.38 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
    - 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 2023.08.22 h06a4308_0
    - cython 3.0.0 py311h5eee18b_0
    - intel-openmp 2023.1.0 hdb19cb5_46305
    - ld_impl_linux-64 2.38 h1181459_1
    - libffi 3.4.4 h6a678d5_0
    - 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_46343
    - mkl-devel 2023.1.0 hc79277c_46343
    - mkl-include 2023.1.0 h06a4308_46343
    - mkl-service 2.4.0 py311h5eee18b_1
    - ncurses 6.4 h6a678d5_0
    - numpy-base 1.23.5 py311hf175353_1
    - openssl 3.0.10 h7f8727e_2
    - pip 23.2.1 py311h06a4308_0
    - python 3.11.5 h955ad1f_0
    - readline 8.2 h5eee18b_0
    - setuptools 68.0.0 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 5.4.2 h5eee18b_0
    - 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
    - python >=3.11,<3.12.0a0
test:
  commands:
    - pip check
    - nosetests -v -e test_hypergeometric mkl_random
  imports:
    - mkl_random
    - mkl_random.mklrand
  requires:
    - nose
    - pip
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
  flow_run_id: 8e0dc8c9-663e-4534-8760-43b992022689
  recipe-maintainers:
    - oleksandr-pavlyk
  remote_url: git@github.com:AnacondaRecipes/mkl_random-feedstock.git
  sha: 15ac89a953c697da545bdf257e954f3fd63dd5e2
