# This file created by conda-build 3.7.1
# meta.yaml template originally from:
# /tmp/build/80754af9/rsync-recipes/numpy-1.14.2-python_3.5-blas_impl_mkl-on-linux_64, last modified Thu Mar 22 20:18:23 2018
# ------------------------------------------------

package:
    name: numpy
    version: 1.14.2
source:
    patches:
        - 0001-Remove-ICC-specific-flags.patch
        - 0002-Remove-np.invsqrt.patch
        - 0003-Rewrite-inlining.patch
        - 0003-use-gfortran-from-env-variable.patch
        - intel_distribution.patch
        - intel_init_mkl.patch
        - intel_mkl-version.patch
        - intel_mkl_mem_all.patch
        - intel_mkl_random.patch
        - intel_umath_optimizations.patch
        - intel_use_mkl_fft.patch
    sha256: facc6f925c3099ac01a1f03758100772560a0b020fb9d70f210404be08006bcb
    url: https://pypi.io/packages/source/n/numpy/numpy-1.14.2.zip
build:
    number: '1'
    requires_features:
        blas: mkl
    string: py35hdbf6ddf_1
requirements:
    build:
        - binutils_impl_linux-64 2.28.1 had2808c_3
        - binutils_linux-64 7.2.0 25
        - gcc_impl_linux-64 7.2.0 habb00fd_3
        - gcc_linux-64 7.2.0 25
        - gfortran_impl_linux-64 7.2.0 hdf63c60_3
        - gfortran_linux-64 7.2.0 25
        - libgfortran-ng 7.2.0 hdf63c60_3
        - libstdcxx-ng 7.2.0 hdf63c60_3
    host:
        - ca-certificates 2017.08.26 h1d4fec5_0
        - certifi 2018.1.18 py35_0
        - cython 0.27.3 py35h6cdc64b_0
        - intel-openmp 2018.0.0 8
        - libedit 3.1 heed3624_0
        - libffi 3.2.1 hd88cf55_4
        - libgcc-ng 7.2.0 hdf63c60_3
        - libgfortran-ng 7.2.0 hdf63c60_3
        - libstdcxx-ng 7.2.0 hdf63c60_3
        - mkl 2018.0.2 1
        - mkl-devel 2018.0.2 1
        - mkl-include 2018.0.2 1
        - ncurses 6.0 h9df7e31_2
        - openssl 1.0.2n hb7f436b_0
        - python 3.5.5 hc3d631a_1
        - readline 7.0 ha6073c6_4
        - setuptools 38.5.1 py35_0
        - sqlite 3.22.0 h1bed415_0
        - tk 8.6.7 hc745277_3
        - xz 5.2.3 h55aa19d_2
        - zlib 1.2.11 ha838bed_2
    run:
        - libgcc-ng >=7.2.0
        - libgfortran-ng  >=7,<8.0a0
        - mkl >=2018.0.2
        - mkl_fft
        - mkl_random
        - python >=3.5,<3.6.0a0
test:
    commands:
        - f2py -h
        - python -c "import numpy; numpy.show_config()"
        - conda inspect linkages -p $PREFIX numpy
    imports:
        - numpy
        - numpy.linalg.lapack_lite
    requires:
        - gcc_linux-64
        - gfortran_linux-64
        - nose
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-1.14.0/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
