# This file created by conda-build 3.23.3
# meta.yaml template originally from:
# /var/folders/sy/f16zz6x50xz3113nwtb9bvq00000gp/T/abs_42ag3liow5/clone/recipe, last modified Fri May  5 06:23:14 2023
# ------------------------------------------------

package:
  name: scipy
  version: 1.9.3
source:
  - patches: null
    sha256: 6ad2df96f141be7bf661461daf15c8d7d8032d77a0d772a52cb9feb236248eae
    url: https://github.com/scipy/scipy/archive/refs/tags/v1.9.3.tar.gz
  - folder: scipy/_lib/boost
    sha256: 6c5cfff0650c5d0b933e6e804eb520f228c8910d85cd4839268c01acf92b4c7c
    url: https://github.com/scipy/boost-headers-only/archive/2a1a7e920f39c44440d6908a080810abe9510f42.tar.gz
  - folder: scipy/_lib/highs
    patches: null
    sha256: 8ce0e816d8c7517c95e0e404648eef3aaee0d5b919226b46f592c87a4eca24f4
    url: https://github.com/scipy/HiGHS/archive/4a122958a82e67e725d08153e099efe4dad099a2.tar.gz
  - folder: scipy/_lib/unuran
    sha256: 2412fdb1d46cc5c677d7fe2b42895f444b2c544040f835083cf814ca93e8c2f5
    url: https://github.com/scipy/unuran/archive/a63d39160e5ecc4402e7ed0e8417f4c3ff9634cb.tar.gz
  - folder: scipy/sparse/linalg/_propack/PROPACK
    sha256: e0069ac6b2f888838ff14f1c5696759914bb451ac60607d1d41c4d6ff0c37324
    url: https://github.com/scipy/PROPACK/archive/92f466393256df649fc8542c39dd647816dded25.tar.gz
build:
  ignore_run_exports:
    - numpy
  number: '2'
  string: py39hf241641_2
requirements:
  build:
    - cctools_osx-64 949.0.1 hc7db93f_25
    - clang 14.0.6 hecd8cb5_1
    - clang-14 14.0.6 default_hd95374b_1
    - clang_osx-64 14.0.6 hb1e4b1b_0
    - clangxx 14.0.6 default_hd95374b_1
    - clangxx_osx-64 14.0.6 hd8b9576_0
    - compiler-rt 14.0.6 hda8b6b8_0
    - compiler-rt_osx-64 14.0.6 h8d5cb93_0
    - gfortran_impl_osx-64 11.2.0 h9ffa1cf_26
    - gfortran_osx-64 11.2.0 h96634ac_0
    - gmp 6.2.1 he9d5cce_3
    - isl 0.22.1 he9d5cce_3
    - ld64_osx-64 530 h70f3046_25
    - ldid 2.1.2 h2d21305_2
    - libclang-cpp14 14.0.6 default_hd95374b_1
    - libcxx 14.0.6 h9765a3e_0
    - libffi 3.4.2 hecd8cb5_6
    - libgfortran 5.0.0 11_3_0_hecd8cb5_28
    - libgfortran-devel_osx-64 11.2.0 ha23277d_26
    - libgfortran5 11.3.0 h9dfd629_28
    - libiconv 1.16 hca72f7f_2
    - libllvm14 14.0.6 h91fad77_2
    - llvm-openmp 14.0.6 h0dcd299_0
    - llvm-tools 14.0.6 he0576d7_2
    - lz4-c 1.9.4 hcec6c5f_0
    - mpc 1.1.0 h6ef4df4_1
    - mpfr 4.0.2 h9066e36_1
    - patch 2.7.6 h1de35cc_1001
    - pkg-config 0.29.2 h3efe00b_8
    - tapi 1000.10.8 ha1b3eb9_0
    - xz 5.4.2 h6c40b1e_0
    - zlib 1.2.13 h4dc903c_0
    - zstd 1.5.5 hc035e20_0
  host:
    - beniget 0.4.1 pyhd3eb1b0_0
    - blas 1.0 mkl
    - ca-certificates 2023.01.10 hecd8cb5_0
    - cctools_osx-64 949.0.1 hc7db93f_25
    - certifi 2022.12.7 py39hecd8cb5_0
    - clang 14.0.6 hecd8cb5_1
    - clang-14 14.0.6 default_hd95374b_1
    - clang_osx-64 14.0.6 hb1e4b1b_0
    - clangxx 14.0.6 default_hd95374b_1
    - clangxx_osx-64 14.0.6 hd8b9576_0
    - compiler-rt 14.0.6 hda8b6b8_0
    - compiler-rt_osx-64 14.0.6 h8d5cb93_0
    - cython 0.29.32 py39he9d5cce_0
    - gast 0.5.3 pyhd3eb1b0_0
    - intel-openmp 2023.1.0 ha357a0b_43547
    - ld64_osx-64 530 h70f3046_25
    - ldid 2.1.2 h2d21305_2
    - libclang-cpp14 14.0.6 default_hd95374b_1
    - libcxx 14.0.6 h9765a3e_0
    - libffi 3.4.2 hecd8cb5_6
    - libgfortran 5.0.0 11_3_0_hecd8cb5_28
    - libgfortran5 11.3.0 h9dfd629_28
    - libllvm14 14.0.6 h91fad77_2
    - llvm-openmp 14.0.6 h0dcd299_0
    - llvm-tools 14.0.6 he0576d7_2
    - mkl 2023.1.0 h59209a4_43558
    - mkl-devel 2023.1.0 hc659987_43558
    - mkl-include 2023.1.0 hecd8cb5_43558
    - mkl-service 2.4.0 py39h6c40b1e_1
    - mkl_fft 1.3.6 py39h07fba90_1
    - mkl_random 1.2.2 py39h07fba90_1
    - ncurses 6.4 hcec6c5f_0
    - numpy 1.19.5 py39h3cdbb29_5
    - numpy-base 1.19.5 py39hff596df_5
    - openssl 1.1.1t hca72f7f_0
    - pip 23.0.1 py39hecd8cb5_0
    - ply 3.11 py39hecd8cb5_0
    - pybind11 2.10.1 py39ha357a0b_0
    - pybind11-global 2.10.1 py39ha357a0b_0
    - python 3.9.16 h218abb5_2
    - pythran 0.12.1 py39hfef534d_0
    - readline 8.2 hca72f7f_0
    - setuptools 58.0.4 py39hecd8cb5_0
    - sqlite 3.41.2 h6c40b1e_0
    - tapi 1000.10.8 ha1b3eb9_0
    - tbb 2021.8.0 ha357a0b_0
    - tk 8.6.12 h5d9f67b_0
    - tzdata 2023c h04d1e81_0
    - wheel 0.37.1 pyhd3eb1b0_0
    - xsimd 10.0.0 ha357a0b_0
    - xz 5.4.2 h6c40b1e_0
    - zlib 1.2.13 h4dc903c_0
  run:
    - blas 1.0 mkl
    - intel-openmp >=2023.1.0,<2024.0a0
    - libcxx >=14.0.6
    - libgfortran 5.*
    - libgfortran5 >=11.2.0
    - libgfortran5 >=11.3.0
    - mkl >=2023.1.0,<2024.0a0
    - mkl-service >=2.3.0,<3.0a0
    - numpy >=1.19,<1.26.0
    - python >=3.9,<3.10.0a0
test:
  commands:
    - ulimit -n 64000
    - python -c "import sys, scipy, numpy; print(scipy.__version__, numpy.__version__,
      sys.version_info)"
    - python -c "import numpy; numpy.show_config()"
    - python -c "import scipy, sys; sys.exit(not scipy.test(verbose=1, label='full',
      tests=None, extra_argv=['-k', 'not (_not_a_real_test or test_x0_equals_Mb[bicgstab]
      or test_region4 or test_bad_geneig or test_svdp or test_examples)', '-n', '3',
      '--timeout=1800', '--durations=50']))"
    - python -c "import scipy, sys; scipy.test(verbose=2, label='full', tests=None,
      extra_argv=['-k', '(test_svdp or test_examples)', '-n', '3', '--timeout=1800',
      '--durations=50']); sys.exit(0)"
    - python -c "import scipy, sys; scipy.test(verbose=2, label='full', tests=None,
      extra_argv=['-k', '(_not_a_real_test or test_x0_equals_Mb[bicgstab] or test_region4
      or test_bad_geneig)', '-n', '3', '--timeout=1800', '--durations=50']); sys.exit(0)"
  imports:
    - scipy
    - scipy.cluster
    - scipy.cluster.hierarchy
    - scipy.cluster.vq
    - scipy.constants
    - scipy.fft
    - scipy.fftpack
    - scipy.integrate
    - scipy.interpolate
    - scipy.io
    - scipy.io.arff
    - scipy.io.matlab
    - scipy.io.wavfile
    - scipy.linalg
    - scipy.linalg.blas
    - scipy.linalg.cython_blas
    - scipy.linalg.cython_lapack
    - scipy.linalg.interpolative
    - scipy.linalg.lapack
    - scipy.misc
    - scipy.ndimage
    - scipy.odr
    - scipy.optimize
    - scipy.signal
    - scipy.signal.windows
    - scipy.sparse
    - scipy.sparse.csgraph
    - scipy.sparse.linalg
    - scipy.spatial
    - scipy.spatial.distance
    - scipy.spatial.transform
    - scipy.special
    - scipy.stats
    - scipy.stats.contingency
    - scipy.stats.distributions
    - scipy.stats.mstats
    - scipy.stats.qmc
    - scipy.stats.sampling
  requires:
    - intel-openmp 2023.*
    - mpmath
    - pytest
    - pytest-timeout
    - pytest-xdist
    - threadpoolctl
about:
  description: 'SciPy is a Python-based ecosystem of open-source software for mathematics,

    science, and engineering.

    '
  dev_url: https://github.com/scipy/scipy
  doc_source_url: https://github.com/scipy/scipy/tree/main/doc
  doc_url: https://docs.scipy.org/doc/scipy/
  home: https://scipy.org/
  license: BSD-3-Clause
  license_family: BSD
  license_file: LICENSE.txt
  license_url: https://github.com/scipy/scipy/blob/main/LICENSE.txt
  summary: Scientific Library for Python
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: 427b0af1-a0f6-4cd1-a00d-2062b2a5b582
  recipe-maintainers:
    - h-vetinari
    - jakirkham
    - msarahan
    - ocefpaf
    - rgommers
  remote_url: git@github.com:AnacondaRecipes/scipy-feedstock.git
  sha: b6eaec653364e5ed0404b8809b9622b20797d96e
