# This file created by conda-build 3.24.0
# meta.yaml template originally from:
# /feedstock/recipe, last modified Fri Aug 18 15:24:03 2023
# ------------------------------------------------

package:
  name: datashader
  version: 0.15.2
source:
  sha256: 9539529379287d69c10e9ab4e0b2900e1a16004d6ff06de0d84aa62c4833b1bb
  url: https://pypi.io/packages/source/d/datashader/datashader-0.15.2.tar.gz
build:
  entry_points:
    - datashader = datashader.__main__:main
  number: '0'
  script: /croot/datashader_1692372248705/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/bin/python
    -m pip install . --no-deps --no-build-isolation --ignore-installed --no-cache-dir
    -vvv
  string: py311h06a4308_0
requirements:
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - brotlipy 0.7.0 py311h5eee18b_1002
    - bzip2 1.0.8 h7b6447c_0
    - ca-certificates 2023.05.30 h06a4308_0
    - certifi 2023.7.22 py311h06a4308_0
    - cffi 1.15.1 py311h5eee18b_3
    - charset-normalizer 2.0.4 pyhd3eb1b0_0
    - cryptography 41.0.2 py311h22a60cf_0
    - idna 3.4 py311h06a4308_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 3.0.10 h7f8727e_0
    - param 1.13.0 py311h06a4308_0
    - pip 23.2.1 py311h06a4308_0
    - pycparser 2.21 pyhd3eb1b0_0
    - pyct 0.5.0 py311h06a4308_0
    - pyopenssl 23.2.0 py311h06a4308_0
    - pysocks 1.7.1 py311h06a4308_0
    - python 3.11.4 h955ad1f_0
    - pyyaml 6.0 py311h5eee18b_1
    - readline 8.2 h5eee18b_0
    - requests 2.31.0 py311h06a4308_0
    - setuptools 68.0.0 py311h06a4308_0
    - sqlite 3.41.2 h5eee18b_0
    - tk 8.6.12 h1ccaba5_0
    - tzdata 2023c h04d1e81_0
    - urllib3 1.26.16 py311h06a4308_0
    - wheel 0.38.4 py311h06a4308_0
    - xz 5.4.2 h5eee18b_0
    - yaml 0.2.5 h7b6447c_0
    - zlib 1.2.13 h5eee18b_0
  run:
    - colorcet
    - dask-core
    - datashape
    - numba
    - numpy
    - pandas
    - param
    - pillow
    - pyct
    - python >=3.11,<3.12.0a0
    - requests
    - scipy
    - toolz
    - xarray
test:
  commands:
    - pip check || true
    - datashader --version
    - datashader --help
    - datashader copy-examples --path=. --force
    - pytest --nbsmoke-run -k ".ipynb" getting_started/2_Pipeline.ipynb
  imports:
    - datashader
  requires:
    - fastparquet
    - flake8
    - holoviews
    - nbsmoke >0.5.0
    - netcdf4
    - pip
    - pytest
    - pytest-benchmark
about:
  description: 'Datashader is a data rasterization pipeline for automating the process
    of

    creating meaningful representations of large amounts of data.

    '
  dev_url: https://github.com/holoviz/datashader
  doc_url: https://datashader.org
  home: https://datashader.org
  license: BSD-3-Clause
  license_family: BSD
  license_file: LICENSE.txt
  summary: Data visualization toolchain based on aggregating into a grid
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: 71ac3fea-783c-4d13-b250-469ee6395f2b
  recipe-maintainers:
    - jbednar
    - jsignell
    - ocefpaf
    - philippjfr
  remote_url: git@github.com:AnacondaRecipes/datashader-feedstock.git
  sha: 7e37c454e161a95a11796c9307083618d8663478
  skip-lints:
    - host_section_needs_exact_pinnings
