# This file created by conda-build 24.1.2
# meta.yaml template originally from:
# /feedstock/recipe, last modified Wed Dec 18 15:29:31 2024
# ------------------------------------------------

package:
  name: xarray
  version: 2024.11.0
source:
  sha256: 1ccace44573ddb862e210ad3ec204210654d2c750bec11bbe7d842dfc298591f
  url: https://pypi.io/packages/source/x/xarray/xarray-2024.11.0.tar.gz
build:
  number: '0'
  script: /croot/xarray_1734535778780/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_/bin/python
    -m pip install . --no-deps --no-build-isolation -vv
  string: py312h06a4308_0
requirements:
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - bzip2 1.0.8 h5eee18b_6
    - ca-certificates 2024.11.26 h06a4308_0
    - expat 2.6.4 h6a678d5_0
    - 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
    - ncurses 6.4 h6a678d5_0
    - openssl 3.0.15 h5eee18b_0
    - packaging 24.2 py312h06a4308_0
    - pip 24.2 py312h06a4308_0
    - python 3.12.8 h5148396_0
    - readline 8.2 h5eee18b_0
    - setuptools 75.1.0 py312h06a4308_0
    - setuptools-scm 8.1.0 py312h06a4308_0
    - setuptools_scm 8.1.0 hd3eb1b0_0
    - sqlite 3.45.3 h5eee18b_0
    - tk 8.6.14 h39e8969_0
    - tzdata 2024b h04d1e81_0
    - wheel 0.44.0 py312h06a4308_0
    - xz 5.4.6 h5eee18b_1
    - zlib 1.2.13 h5eee18b_1
  run:
    - numpy >=1.24
    - packaging >=23.2
    - pandas >=2.1
    - python >=3.12,<3.13.0a0
test:
  commands:
    - pip check
  imports:
    - xarray
    - xarray.backends
  requires:
    - pip
about:
  description: 'xarray (formerly xray) is an open source project and Python package

    that makes working with labelled multi-dimensional arrays simple,

    efficient, and fun!


    xarray introduces labels in the form of dimensions, coordinates and

    attributes on top of raw NumPy_-like arrays, which allows for a more

    intuitive, more concise, and less error-prone developer experience.

    The package includes a large and growing library of domain-agnostic functions
    for advanced analytics and visualization with these data structures.


    xarray was inspired by and borrows heavily from pandas_, the popular data analysis
    package focused on labelled tabular data.

    It is particularly tailored to working with netCDF_ files, which were the source
    of xarray''s data model, and integrates tightly with dask_ for parallel computing.

    '
  dev_url: https://github.com/pydata/xarray
  doc_url: https://docs.xarray.dev/en/stable/
  home: https://github.com/pydata/xarray
  license: Apache-2.0
  license_family: Apache
  license_file: LICENSE
  summary: N-D labeled arrays and datasets in Python.
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: f2682eec-92d6-4975-a571-b93130d16f69
  recipe-maintainers:
    - jhamman
    - ocefpaf
    - shoyer
  remote_url: git@github.com:AnacondaRecipes/xarray-feedstock.git
  sha: 7959bba09ad9de7d737d91019b5c8be4756ab38b
