mkl_umath/conda-recipe/meta.yaml at 336d07d85c0a9e1dc76ddc6301cbf09d6d5c8a4e · IntelPython/mkl_umath · GitHub

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{% set version = "0.2.0" %}
{% set buildnumber = 0 %}

package:
    name: mkl_umath
    version: {{ version }}

source:
    path: ../

build:
    number: {{ buildnumber }}
    ignore_run_exports:
      - blas

requirements:
    build:
      - {{ compiler('c') }}
      - {{ compiler('cxx') }}
      - {{ stdlib('c') }}
      - {{ compiler('dpcpp') }} >=2024.2  # [not osx]
    host:
      - setuptools >=77
      - cmake
      - ninja
      - git
      - cython
      - scikit-build
      - python
      - mkl-devel
      - tbb-devel
      - numpy-base
    run:
      - python
      - {{ pin_compatible('intel-cmplr-lib-rt') }}
      - {{ pin_compatible('numpy') }}

test:
    requires:
      - pytest
    source_files:
      - mkl_umath/tests/test_basic.py
    commands:
      - pytest mkl_umath/tests/test_basic.py
    imports:
      - mkl_umath
      - mkl_umath._ufuncs
      - mkl_umath._patch

about:
    home: http://github.com/IntelPython/mkl_umath
    license: BSD-3
    license_file: LICENSE.txt
    summary: Universal functions for real and complex floating point arrays powered by Intel(R) Math Kernel Library Vector (Intel(R) MKL) and Intel(R) Short Vector Math Library (Intel(R) SVML)