# This file created by conda-build 24.1.2
# ------------------------------------------------

package:
  name: numpy
  version: 2.1.3
source:
  - patches:
      - patches/0003-intel_init_mkl.patch
    sha256: aa08e04e08aaf974d4458def539dece0d28146d866a39da5639596f4921fd761
    url: https://github.com/numpy/numpy/releases/download/v2.1.3/numpy-2.1.3.tar.gz
build:
  number: 0
  run_exports:
    - numpy >=1.21,<3
  string: py312hc5e2394_0
requirements:
  build:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - _sysroot_linux-64_curr_repodata_hack 3 haa98f57_10
    - binutils_impl_linux-64 2.40 h5293946_0
    - binutils_linux-64 2.40.0 hc2dff05_1
    - gcc_impl_linux-64 11.2.0 h1234567_1
    - gcc_linux-64 11.2.0 h5c386dc_1
    - gxx_impl_linux-64 11.2.0 h1234567_1
    - gxx_linux-64 11.2.0 hc2dff05_1
    - kernel-headers_linux-64 3.10.0 h57e8cba_10
    - ld_impl_linux-64 2.40 h12ee557_0
    - libgcc-devel_linux-64 11.2.0 h1234567_1
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-devel_linux-64 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - sysroot_linux-64 2.17 h57e8cba_10
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - blas 1.0 mkl
    - bzip2 1.0.8 h5eee18b_6
    - ca-certificates 2024.9.24 h06a4308_0
    - expat 2.6.3 h6a678d5_0
    - intel-openmp 2023.1.0 hdb19cb5_46306
    - ld_impl_linux-64 2.40 h12ee557_0
    - libffi 3.4.4 h6a678d5_1
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - libuuid 1.41.5 h5eee18b_0
    - mkl 2023.1.0 h213fc3f_46344
    - mkl-devel 2023.1.0 h3a03a7a_46344
    - mkl-include 2023.1.0 h06a4308_46344
    - ncurses 6.4 h6a678d5_0
    - openssl 3.0.15 h5eee18b_0
    - python 3.12.7 h5148396_0
    - readline 8.2 h5eee18b_0
    - sqlite 3.45.3 h5eee18b_0
    - tbb 2021.8.0 hdb19cb5_0
    - tk 8.6.14 h39e8969_0
    - tzdata 2024b h04d1e81_0
    - xz 5.4.6 h5eee18b_1
    - zlib 1.2.13 h5eee18b_1
  run:
    - blas 1.0 mkl
    - libgcc-ng >=11.2.0
    - libstdcxx-ng >=11.2.0
    - mkl >=2023.1.0,<2024.0a0
    - mkl-service >=2.3.0,<3.0a0
    - mkl_fft
    - mkl_random
    - numpy-base 2.1.3 py312h0da6c21_0
    - python >=3.12,<3.13.0a0
  run_constrained:
    - setuptools <74
test:
  commands:
    - f2py -h
    - python -c "import numpy; numpy.show_config()"
    - export OPENBLAS_NUM_THREADS=1
    - pytest -vv --pyargs numpy -k "not (_not_a_real_test)" --durations=50 --durations-min=1.0
  imports:
    - numpy
    - numpy.core.multiarray
    - numpy.core.numeric
    - numpy.core.umath
    - numpy.ctypeslib
    - numpy.dtypes
    - numpy.exceptions
    - numpy.f2py
    - numpy.fft
    - numpy.lib
    - numpy.lib.array_utils
    - numpy.lib.format
    - numpy.lib.introspect
    - numpy.lib.mixins
    - numpy.lib.npyio
    - numpy.lib.recfunctions
    - numpy.lib.scimath
    - numpy.lib.stride_tricks
    - numpy.linalg
    - numpy.linalg.lapack_lite
    - numpy.ma
    - numpy.ma.extras
    - numpy.ma.mrecords
    - numpy.polynomial
    - numpy.polynomial.chebyshev
    - numpy.polynomial.hermite
    - numpy.polynomial.hermite_e
    - numpy.polynomial.laguerre
    - numpy.polynomial.legendre
    - numpy.polynomial.polynomial
    - numpy.random
    - numpy.random.mtrand
    - numpy.strings
    - numpy.testing
    - numpy.testing.overrides
    - numpy.typing
    - numpy.typing.mypy_plugin
    - numpy.version
  requires:
    - charset-normalizer
    - gcc_linux-64 11.2.0.*
    - gfortran_linux-64 11.2.0.*
    - gxx_linux-64 11.2.0.*
    - hypothesis >=6.111.0
    - meson
    - mypy >=1.7.1
    - pip
    - pytest >=7.4.0
    - pytest-cov >=4.1.0
    - pytest-xdist
    - pytz >=2023.3.post1
    - typing-extensions >=4.2.0
about:
  description: 'NumPy is the fundamental package needed for scientific computing with
    Python.

    '
  dev_url: https://github.com/numpy/numpy
  doc_url: https://numpy.org/doc/stable/reference/
  home: https://numpy.org/
  license: BSD-3-Clause
  license_family: BSD
  license_file:
    - LICENSE.txt
    - LICENSES_bundled.txt
  summary: Array processing for numbers, strings, records, and objects.
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: 58f977a2-62ba-4cbb-a979-feab8504ec65
  recipe-maintainers:
    - chenghlee
    - jakirkham
    - msarahan
    - ocefpaf
    - pelson
    - rgommers
  remote_url: git@github.com:AnacondaRecipes/numpy-feedstock.git
  sha: a34e59a950f84717684a6056ed619eae2016eb67
