# This file created by conda-build 24.5.1
# meta.yaml template originally from:
# C:\b\abs_51yyu3qucu\clone\recipe, last modified Tue Jul  9 17:02:55 2024
# ------------------------------------------------

package:
  name: numba
  version: 0.60.0
source:
  patches:
    - patches/fix_numpy.patch
    - patches/ignore_deprecation_warning_in_import_test.patch
  sha256: 5df6158e5584eece5fc83294b949fd30b9f1125df7708862205217e068aabf16
  url: https://pypi.io/packages/source/n/numba/numba-0.60.0.tar.gz
build:
  entry_points:
    - numba = numba.misc.numba_entry:main
  ignore_run_exports:
    - libllvm14 >=14.0.6,<14.1.0a0
  number: '0'
  script:
    - C:\\b\\abs_51yyu3qucu\\croot\\numba_1720540987599\\_h_env\\python.exe -m pip
      install . --no-deps  --no-build-isolation --ignore-installed -vv
  string: py312h0158946_0
requirements:
  build:
    - m2-msys2-runtime 2.5.0.17080.65c939c 3
    - m2-patch 2.7.5 2
    - msys2-conda-epoch 20160418 1
    - vs2019_win-64 19.29.30154 h96f319f_4
    - vswhere 2.8.4 haa95532_0
  host:
    - blas 1.0 mkl
    - bzip2 1.0.8 h2bbff1b_6
    - ca-certificates 2024.3.11 haa95532_0
    - expat 2.6.2 hd77b12b_0
    - intel-openmp 2023.1.0 h59b6b97_46320
    - libffi 3.4.4 hd77b12b_1
    - llvmlite 0.43.0 py312hf2fb9eb_0
    - mkl 2023.1.0 h6b88ed4_46358
    - mkl-service 2.4.0 py312h2bbff1b_1
    - mkl_fft 1.3.8 py312h2bbff1b_0
    - mkl_random 1.2.4 py312h59b6b97_0
    - numpy 1.26.4 py312hfd52020_0
    - numpy-base 1.26.4 py312h4dde369_0
    - openssl 3.0.14 h827c3e9_0
    - pip 24.0 py312haa95532_0
    - python 3.12.4 h14ffc60_1
    - setuptools 69.5.1 py312haa95532_0
    - sqlite 3.45.3 h2bbff1b_0
    - tbb 2021.8.0 h59b6b97_0
    - tbb-devel 2021.8.0 h59b6b97_0
    - tk 8.6.14 h0416ee5_0
    - tzdata 2024a h04d1e81_0
    - vc 14.2 h2eaa2aa_4
    - vs2015_runtime 14.29.30133 h43f2093_4
    - wheel 0.43.0 py312haa95532_0
    - xz 5.4.6 h8cc25b3_1
    - zlib 1.2.13 h8cc25b3_1
  run:
    - llvmlite >=0.43.0,<0.44.0a0
    - numpy >=1.26.4,<1.27
    - python >=3.12,<3.13.0a0
    - tbb >=2021.8.0
    - vc >=14.2,<15.0a0
    - vs2015_runtime >=14.29.30133,<15.0a0
  run_constrained:
    - cuda-python >=11.6
    - cuda-version >=11.2
    - cudatoolkit >=11.2
    - libopenblas !=0.3.6
    - scipy >=1.0
    - tbb >=2021.6,<2022
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.cudapy
    - numba.cuda.tests.cudasim
    - numba.cuda.tests.data
    - numba.cuda.tests.nocuda
    - numba.experimental.jitclass
    - numba.np.ufunc
    - numba.pycc
    - numba.scripts
    - numba.testing
    - numba.tests
    - numba.tests.npyufunc
  requires:
    - cffi
    - ipykernel
    - ipython
    - jinja2
    - pexpect
    - pip
    - pygments
    - scipy
    - setuptools
    - tbb >=2021.6,<2022
    - vs2019_win-64
    - 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: https://numba.readthedocs.io/
  home: https://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
  flow_run_id: 5128c896-ac76-4239-b642-9bafa2f02d20
  recipe-maintainers:
    - henryiii
    - jakirkham
    - marcelotrevisani
    - mbargull
    - souravsingh
    - step21
  remote_url: [email protected]:AnacondaRecipes/numba-feedstock.git
  sha: d3de31061ec2ae6f633f4131fbe73e549e9966b9