# This file created by conda-build 3.28.4
# meta.yaml template originally from:
# /home/conda/recipe_root, last modified Fri Feb  2 13:33:56 2024
# ------------------------------------------------

package:
  name: cudatoolkit
  version: 11.8.0
source:
  - path: /home/conda/recipe_root/build.py
  - fn: cuda_11.8.0_520.61.05_linux.run
    md5: d6cf26349e5a4104b8683e26b717fa22
    url: https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
build:
  binary_relocation: false
  missing_dso_whitelist:
    - $RPATH/ld-linux-x86-64.so.2
    - $RPATH/libc.so.6
    - $RPATH/libdl.so.2
    - $RPATH/libm.so.6
    - $RPATH/libpthread.so.0
    - $RPATH/librt.so.1
  number: '13'
  script: 'echo 11.8.0

    python build.py --version=11.8.0 --version-patch=520.61.05 --runfile=cuda_11.8.0_520.61.05_linux.run

    '
  script_env:
    - DEBUG_INSTALLER_PATH
    - NVTOOLSEXT_INSTALL_PATH
  string: h4ba93d1_13
requirements:
  build:
    - _libgcc_mutex 0.1 conda_forge
    - _openmp_mutex 4.5 2_gnu
    - _sysroot_linux-64_curr_repodata_hack 3 h69a702a_13
    - binutils_impl_linux-64 2.40 hf600244_0
    - binutils_linux-64 2.40 hbdbef99_2
    - bzip2 1.0.8 hd590300_5
    - ca-certificates 2024.2.2 hbcca054_0
    - gcc_impl_linux-64 12.3.0 he2b93b0_5
    - gcc_linux-64 12.3.0 h76fc315_2
    - gxx_impl_linux-64 12.3.0 he2b93b0_5
    - gxx_linux-64 12.3.0 h8a814eb_2
    - kernel-headers_linux-64 3.10.0 h4a8ded7_13
    - ld_impl_linux-64 2.40 h41732ed_0
    - libexpat 2.5.0 hcb278e6_1
    - libffi 3.4.2 h7f98852_5
    - libgcc-devel_linux-64 12.3.0 h8bca6fd_105
    - libgcc-ng 13.2.0 h807b86a_5
    - libgomp 13.2.0 h807b86a_5
    - libnsl 2.0.1 hd590300_0
    - libsanitizer 12.3.0 h0f45ef3_5
    - libsqlite 3.44.2 h2797004_0
    - libstdcxx-devel_linux-64 12.3.0 h8bca6fd_105
    - libstdcxx-ng 13.2.0 h7e041cc_5
    - libuuid 2.38.1 h0b41bf4_0
    - libxcrypt 4.4.36 hd590300_1
    - libzlib 1.2.13 hd590300_5
    - ncurses 6.4 h59595ed_2
    - openssl 3.2.1 hd590300_0
    - python 3.12.1 hab00c5b_1_cpython
    - readline 8.2 h8228510_1
    - sysroot_linux-64 2.17 h4a8ded7_13
    - tk 8.6.13 noxft_h4845f30_101
    - tzdata 2023d h0c530f3_0
    - xz 5.2.6 h166bdaf_0
  host:
    - _libgcc_mutex 0.1 conda_forge
    - _openmp_mutex 4.5 2_gnu
    - libgcc-ng 13.2.0 h807b86a_5
    - libgomp 13.2.0 h807b86a_5
    - libstdcxx-ng 13.2.0 h7e041cc_5
  run:
    - __glibc >=2.17,<3.0.a0
    - libgcc-ng >=12
    - libstdcxx-ng >=12
  run_constrained:
    - __cuda >=11
test:
  commands:
    - test ! -f "${PREFIX}/lib/libaccinj64.so"
    - test ! -f "${PREFIX}/lib/libcuinj64.so"
  requires:
    - numba
    - packaging
    - python >=3.7
    - setuptools
about:
  description: 'CUDA is a parallel computing platform and programming model developed
    by NVIDIA for general computing on graphical processing units (GPUs). With CUDA,
    developers can dramatically speed up computing applications by harnessing the
    power of GPUs.


    The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated
    applications. This CUDA Toolkit includes GPU-accelerated libraries, and the CUDA
    runtime for the Conda ecosystem. For the full CUDA Toolkit with a compiler and
    development tools visit https://developer.nvidia.com/cuda-downloads


    License Agreements

    The packages are governed by the CUDA Toolkit End User License Agreement (EULA).
    By downloading and using the packages, you accept the terms and conditions of
    the CUDA EULA - https://docs.nvidia.com/cuda/eula/index.html

    '
  dev_url: https://developer.nvidia.com/cuda-downloads
  doc_url: https://docs.nvidia.com/cuda/
  home: https://developer.nvidia.com/cuda-toolkit
  license: LicenseRef-NVIDIA-End-User-License-Agreement
  license_file: NVIDIA_EULA
  license_url: https://docs.nvidia.com/cuda/eula/index.html
  summary: CUDA Toolkit - Including CUDA runtime
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: azure_20240202.6.1
  recipe-maintainers:
    - jaimergp
    - jakirkham
    - kkraus14
    - leofang
    - mike-wendt
    - raydouglass
    - scopatz
  remote_url: https://github.com/conda-forge/cudatoolkit-feedstock
  sha: 5c632f411a0553d1c1b914bce02a41099e5ce03d
