# This file created by conda-build 3.27.0
# meta.yaml template originally from:
# C:\Users\dev-admin\perseverance-python-buildout\aggregate\xarray-feedstock\recipe, last modified Wed Nov  8 19:29:48 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: C:\\Users\\dev-admin\\perseverance-python-buildout\\croot\\xarray_1699480274069\\_h_env\\python.exe
    -m pip install . --no-deps --no-build-isolation -vv
  string: py312haa95532_0
requirements:
  host:
    - bzip2 1.0.8 he774522_0
    - ca-certificates 2023.08.22 haa95532_0
    - expat 2.5.0 hd77b12b_0
    - libffi 3.4.4 hd77b12b_0
    - openssl 3.0.12 h2bbff1b_0
    - packaging 23.1 py312haa95532_0
    - pip 23.3 py312haa95532_0
    - python 3.12.0 h1d929f7_0
    - setuptools 68.0.0 py312haa95532_0
    - setuptools-scm 7.1.0 py312haa95532_1
    - setuptools_scm 7.1.0 hd3eb1b0_1
    - sqlite 3.41.2 h2bbff1b_0
    - tk 8.6.12 h2bbff1b_0
    - typing-extensions 4.7.1 py312haa95532_0
    - typing_extensions 4.7.1 py312haa95532_0
    - tzdata 2023c h04d1e81_0
    - vc 14.2 h21ff451_1
    - vs2015_runtime 14.27.29016 h5e58377_2
    - wheel 0.41.2 py312haa95532_0
    - xz 5.4.2 h8cc25b3_0
    - zlib 1.2.13 h8cc25b3_0
  run:
    - numpy >=1.21
    - packaging >=21.3
    - pandas >=1.4
    - 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
  recipe-maintainers:
    - jhamman
    - ocefpaf
    - shoyer