# This file created by conda-build 3.24.0
# meta.yaml template originally from:
# /feedstock/recipe, last modified Tue Jul 11 02:11:04 2023
# ------------------------------------------------

package:
  name: xarray
  version: 2023.6.0
source:
  sha256: 267a231ee4efc0341ebbffc6d4ec60e4a66e4849c16e0305c03fcefeca77698c
  url: https://pypi.io/packages/source/x/xarray/xarray-2023.6.0.tar.gz
build:
  number: '0'
  script: /croot/xarray_1689041471350/_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: py311h06a4308_0
requirements:
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - bzip2 1.0.8 h7b6447c_0
    - ca-certificates 2023.05.30 h06a4308_0
    - ld_impl_linux-64 2.38 h1181459_1
    - libffi 3.4.4 h6a678d5_0
    - 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 3.0.9 h7f8727e_0
    - packaging 23.0 py311h06a4308_0
    - pip 23.1.2 py311h06a4308_0
    - python 3.11.4 h955ad1f_0
    - readline 8.2 h5eee18b_0
    - setuptools 67.8.0 py311h06a4308_0
    - setuptools-scm 7.1.0 py311h06a4308_0
    - setuptools_scm 7.1.0 hd3eb1b0_0
    - sqlite 3.41.2 h5eee18b_0
    - tk 8.6.12 h1ccaba5_0
    - typing-extensions 4.6.3 py311h06a4308_0
    - typing_extensions 4.6.3 py311h06a4308_0
    - tzdata 2023c h04d1e81_0
    - wheel 0.38.4 py311h06a4308_0
    - xz 5.4.2 h5eee18b_0
    - zlib 1.2.13 h5eee18b_0
  run:
    - numpy >=1.21
    - packaging >=21.3
    - pandas >=1.4
    - python >=3.11,<3.12.0a0
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: 851fd4ad-3ec5-4953-b7c1-383d15fe1060
  recipe-maintainers:
    - jhamman
    - ocefpaf
    - shoyer
  remote_url: git@github.com:AnacondaRecipes/xarray-feedstock.git
  sha: 7acede6fac2c3f52f8cb71f440fef5d046052759
