{% set version='2018.0.3' %}
{% set buildnum='1' %}

# use this if our build script changes and we need to increment beyond intel's version
# {% set dstbuildnum='4' %}
{% set openmp_version='2018.0.3' %}
{% set openmp_buildnum='0' %}

package:
  name: intel_repacks
  version: {{ version }}

build:
  number: {{ buildnum }}
  binary_relocation: false
  detect_binary_files_with_prefix: false
  skip: True                                  # [ppc64le]
  missing_dso_whitelist:
    # just ignore tbb on mac.  We could add it as a dep when we have it.
    - libtbb.dylib                   # [osx]
    # this one should be here, probably needs fixup of RUNPATH/RPATH
    - libiomp5.dylib                   # [osx]
    # normal linux stuff that would go away if we had libgcc-ng in the run deps
    - /lib/ld-linux.so.2
    - /lib64/ld-linux-x86-64.so.2
    - /lib/libpthread.so.0
    - /lib/libdl.so.2
    - /lib/libgcc_s.so.1
    - /lib/libc.so.6
    - /lib/libm.so.6
    # these two really shouldn't be here.  See mkl_repack_and_patchelf.sh
    - libiomp5.so
    - libcoi_device.so.0

source:
  - url: https://anaconda.org/intel/mkl/{{ version }}/download/{{ target_platform }}/mkl-{{ version }}-intel_{{ buildnum }}.tar.bz2
    folder: mkl
  - url: https://anaconda.org/intel/mkl-include/{{ version }}/download/{{ target_platform }}/mkl-include-{{ version }}-intel_{{ buildnum }}.tar.bz2
    folder: mkl-include
  - url: https://anaconda.org/intel/openmp/{{ openmp_version }}/download/{{ target_platform }}/openmp-{{ openmp_version }}-intel_{{ openmp_buildnum }}.tar.bz2
    folder: intel-openmp

outputs:
  - name: mkl
    script: mkl_repack_and_patchelf.sh
    provides_features:
      blas: mkl
    requirements:
      host:
        - intel-openmp
      run:
        - intel-openmp
    about:
      home: https://software.intel.com/en-us/mkl
      license: proprietary - Intel
      license_family: Proprietary
      license_file: LICENSE.txt
      summary: Math library for Intel and compatible processors
      description: |
        Intel Math Kernel Library is a BLAS implementation tuned for high performance on Intel CPUs.
        This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
      doc_url: https://software.intel.com/en-us/mkl/documentation

  - name: mkl-include
    script: repack.sh
    requirements:
    about:
      home: https://software.intel.com/en-us/mkl
      license: proprietary - Intel
      license_family: Proprietary
      license_file: LICENSE.txt
      summary: MKL headers for developing software that uses MKL
      description: |
        Intel Math Kernel Library is a BLAS implementation tuned for high performance on Intel CPUs.
        This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
      doc_url: https://software.intel.com/en-us/mkl/documentation

  - name: intel-openmp
    script: repack.sh
    provides_features:
      openmp: intel
    number: {{ openmp_buildnum }}
    version: {{ openmp_version }}
    about:
      home: https://software.intel.com/en-us/node/522690
      license: proprietary - Intel
      license_family: Proprietary
      license_file: LICENSE.txt
      summary: Math library for Intel and compatible processors
      description: |
        Intel openmp runtime implementation
        This package is a repackaged set of binaries obtained directly from Intel\'s anaconda.org channel.
      doc_url: https://software.intel.com/en-us/node/522690

  # mutex package to keep only one blas implementation in a given env
  - name: blas
    version: 1.0
    build:
      string: mkl

  - name: mkl-devel
    script: install-devel.sh
    build:
      # when stuff is built with MKL, ensure that constraint makes mkl runtime libs as new or
      #     newer than build version
      run_exports:
        - {{ pin_subpackage('mkl', max_pin=None) }}
        - {{ pin_subpackage('blas', exact=True) }}
    requirements:
      run:
        - {{ pin_subpackage('mkl', exact=True) }}
        - {{ pin_subpackage('mkl-include', exact=True) }}

    about:
      summary: Metapacakge of MKL headers and libraries for developing software that uses MKL