# This file created by conda-build 3.18.11
# ------------------------------------------------

package:
    name: numpy-base
    version: 1.17.4
source:
    -   patches:
            - 0001-intel_mkl-version.patch
            - 0002-intel_use_mkl_fft.patch
            - 0003-intel_distribution.patch
            - 0004-intel_umath_optimizations.patch
            - 0005-intel_mkl_mem_all.patch
            - 0006-intel_init_mkl.patch
            - 0007-intel_mkl_random.patch
            - 0008-intel_setup_add_whl_deps.patch
            - 0009-intel_allow-pickle-is-false-on-save.patch
            - 0010-intel-0_17_fixes.patch
            - 0011-fix-windows-case-sensitivity.patch
            - 0012-simplify-arch-flags.patch
            - 0013-Obtain-and-prefer-custom-gfortran-from-env-variable.patch
            - 0014-disable-memmap-filename-test-due-to-CI-link-confusio.patch
            - 0015-disable-broken-tests.patch
            - 0016-mark-known-failing-tests-on-ppc64le.patch
            - 0017-Remove-ICC-specific-flags.patch
            - 0018-Remove-np.invsqrt.patch
            - 0019-Rewrite-inlining.patch
            - 0020-Fixes-from-Intel-Distribution.patch
            - 0021-define-__THRESHOLD.patch
            - 0022-filter-out-warnings-when-importing-mkl_fft.patch
        sha256: f58913e9227400f1395c7b800503ebfdb0772f1c33ff8cb4d6451c06cabdf316
        url: https://pypi.io/packages/source/n/numpy/numpy-1.17.4.zip
build:
    force_use_keys:
        - python
    noarch: false
    number: '0'
    script: install_base.sh
    string: py37hde5b4d6_0
requirements:
    build:
        - _libgcc_mutex 0.1 main
        - binutils_impl_linux-64 2.31.1 h6176602_1
        - binutils_linux-64 2.31.1 h6176602_8
        - gcc_impl_linux-64 7.3.0 habb00fd_1
        - gcc_linux-64 7.3.0 h553295d_8
        - gfortran_impl_linux-64 7.3.0 hdf63c60_1
        - gfortran_linux-64 7.3.0 h553295d_8
        - libgcc-ng 9.1.0 hdf63c60_0
        - libgfortran-ng 7.3.0 hdf63c60_0
        - libstdcxx-ng 9.1.0 hdf63c60_0
    host:
        - _libgcc_mutex 0.1 main
        - blas 1.0 mkl
        - ca-certificates 2019.10.16 0
        - certifi 2019.9.11 py37_0
        - cython 0.29.14 py37he6710b0_0
        - intel-openmp 2019.4 243
        - libedit 3.1.20181209 hc058e9b_0
        - libffi 3.2.1 hd88cf55_4
        - libgcc-ng 9.1.0 hdf63c60_0
        - libgfortran-ng 7.3.0 hdf63c60_0
        - libstdcxx-ng 9.1.0 hdf63c60_0
        - mkl 2019.4 243
        - mkl-devel 2019.4 243
        - mkl-include 2019.4 243
        - ncurses 6.1 he6710b0_1
        - openssl 1.1.1d h7b6447c_3
        - python 3.7.5 h0371630_0
        - readline 7.0 h7b6447c_5
        - setuptools 42.0.1 py37_0
        - sqlite 3.30.1 h7b6447c_0
        - tk 8.6.8 hbc83047_0
        - xz 5.2.4 h14c3975_4
        - zlib 1.2.11 h7b6447c_3
    run:
        - blas 1.0 mkl
        - libgcc-ng >=7.3.0
        - libgfortran-ng >=7,<8.0a0
        - mkl >=2019.4,<2020.0a0
        - mkl-service >=2,<3.0a0
        - python >=3.7,<3.8.0a0
test:
    commands:
        - test -e $SP_DIR/numpy/distutils/site.cfg
about:
    description: 'NumPy is the fundamental package needed for scientific computing
        with Python.

        '
    dev_source_url: https://github.com/numpy/numpy/tree/master/doc
    dev_url: https://github.com/numpy/numpy
    doc_url: https://docs.scipy.org/doc/numpy-1.17.4/reference/
    home: http://numpy.scipy.org/
    license: BSD 3-Clause
    license_file: LICENSE.txt
    summary: Array processing for numbers, strings, records, and objects.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - jakirkham
        - msarahan
        - ocefpaf
        - pelson
        - rgommers
