# This file created by conda-build 3.21.8
# meta.yaml template originally from:
# /feedstock/recipe, last modified Wed Mar 23 13:01:52 2022
# ------------------------------------------------

package:
  name: numba
  version: 0.55.1
source:
  patches:
    - patch-parfor.patch
  sha256: 542a9b514031f6afae971b627930fcaec057cdb604d54db7cbddfb050c580fb9
  url: https://github.com/numba/numba/archive/0.55.1.tar.gz
build:
  entry_points:
    - numba = numba.misc.numba_entry:main
    - pycc = numba.pycc:main
  number: '0'
  script:
    - export CC="${CC} -pthread"
    - /opt/conda/conda-bld/numba_1648040517072/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeho/bin/python
      -m pip install . --no-deps --ignore-installed -vvv
  string: py39h51133e4_0
requirements:
  build:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 4.5 1_gnu
    - _sysroot_linux-64_curr_repodata_hack 3 haa98f57_10
    - binutils_impl_linux-64 2.35.1 h27ae35d_9
    - binutils_linux-64 2.35.1 h454624a_30
    - gcc_impl_linux-64 7.5.0 h7105cf2_17
    - gcc_linux-64 7.5.0 h8f34230_30
    - gxx_impl_linux-64 7.5.0 h0a5bf11_17
    - gxx_linux-64 7.5.0 hffc177d_30
    - kernel-headers_linux-64 3.10.0 h57e8cba_10
    - ld_impl_linux-64 2.35.1 h7274673_9
    - libgcc-devel_linux-64 7.5.0 hbbeae57_17
    - libgcc-ng 9.3.0 h5101ec6_17
    - libgomp 9.3.0 h5101ec6_17
    - libstdcxx-devel_linux-64 7.5.0 hf0c5c8d_17
    - libstdcxx-ng 9.3.0 hd4cf53a_17
    - patch 2.7.6 h7b6447c_1001
    - sysroot_linux-64 2.17 h57e8cba_10
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 4.5 1_gnu
    - blas 1.0 mkl
    - ca-certificates 2022.2.1 h06a4308_0
    - certifi 2021.10.8 py39h06a4308_2
    - intel-openmp 2021.4.0 h06a4308_3561
    - ld_impl_linux-64 2.35.1 h7274673_9
    - libffi 3.3 he6710b0_2
    - libgcc-ng 9.3.0 h5101ec6_17
    - libgfortran-ng 7.5.0 ha8ba4b0_17
    - libgfortran4 7.5.0 ha8ba4b0_17
    - libgomp 9.3.0 h5101ec6_17
    - libllvm11 11.1.0 h3826bc1_1
    - libstdcxx-ng 9.3.0 hd4cf53a_17
    - llvmlite 0.38.0 py39h4ff587b_0
    - mkl 2021.4.0 h06a4308_640
    - mkl-service 2.4.0 py39h7f8727e_0
    - mkl_fft 1.3.1 py39hd3c417c_0
    - mkl_random 1.2.2 py39h51133e4_0
    - ncurses 6.3 h7f8727e_2
    - numpy 1.16.6 py39h2d18471_3
    - numpy-base 1.16.6 py39hdc34a94_3
    - openssl 1.1.1n h7f8727e_0
    - pip 21.2.4 py39h06a4308_0
    - python 3.9.7 h12debd9_1
    - readline 8.1.2 h7f8727e_1
    - setuptools 58.0.4 py39h06a4308_0
    - six 1.16.0 pyhd3eb1b0_1
    - sqlite 3.38.0 hc218d9a_0
    - tbb 2021.5.0 hd09550d_0
    - tbb-devel 2021.5.0 hd09550d_0
    - tk 8.6.11 h1ccaba5_0
    - tzdata 2021e hda174b7_0
    - wheel 0.37.1 pyhd3eb1b0_0
    - xz 5.2.5 h7b6447c_0
    - zlib 1.2.11 h7f8727e_4
  run:
    - _openmp_mutex >=4.5
    - libgcc-ng >=7.5.0
    - libstdcxx-ng >=7.5.0
    - llvmlite >=0.38.0,<0.39.0a0
    - numpy >=1.16.6,<2.0a0
    - python >=3.9,<3.10.0a0
    - setuptools
    - tbb >=2021.5.0
  run_constrained:
    - cudatoolkit >=9.2
    - libopenblas !=0.3.6
    - numpy >=1.18,<1.22
    - scipy >=1.0
    - tbb  >=2021.0
test:
  imports:
    - numba
    - numba.core.annotations
    - numba.core.datamodel
    - numba.core.rewrites
    - numba.core.runtime
    - numba.core.typeconv
    - numba.core.typing
    - numba.core.unsafe
    - numba.cuda
    - numba.cuda.cudadrv
    - numba.cuda.kernels
    - numba.cuda.simulator
    - numba.cuda.simulator.cudadrv
    - numba.cuda.tests
    - numba.cuda.tests.cudadrv
    - numba.cuda.tests.cudadrv.data
    - numba.cuda.tests.cudapy
    - numba.cuda.tests.cudasim
    - numba.cuda.tests.nocuda
    - numba.experimental.jitclass
    - numba.np.ufunc
    - numba.pycc
    - numba.scripts
    - numba.testing
    - numba.tests
    - numba.tests.npyufunc
  requires:
    - cffi
    - gcc_linux-64 7.5.0.*
    - gxx_linux-64 7.5.0.*
    - ipython
    - jinja2
    - pip
    - scipy
    - setuptools
    - tbb >=2021.0
    - wheel
about:
  description: 'Numba is an Open Source NumPy-aware optimizing compiler for Python

    sponsored by Anaconda, Inc. It uses the remarkable LLVM compiler

    infrastructure to compile Python syntax to machine code."

    '
  dev_url: https://github.com/numba/numba
  doc_url: http://numba.pydata.org/
  home: http://numba.pydata.org
  license: BSD-2-Clause
  license_family: BSD
  license_file: LICENSE
  summary: NumPy aware dynamic Python compiler using LLVM
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - henryiii
    - jakirkham
    - marcelotrevisani
    - mbargull
    - souravsingh
    - step21
