# This file created by conda-build 3.21.9
# meta.yaml template originally from:
# /tmp/abs_aa58dfo4_s/clone/recipe, last modified Mon Aug  1 10:17:09 2022
# ------------------------------------------------

package:
  name: datashader
  version: 0.14.1
source:
  sha256: 54617adf9d6554205ab7af0463d218f651e4d610cc72305cad574f4a5885ab86
  url: https://pypi.io/packages/source/d/datashader/datashader-0.14.1.tar.gz
build:
  entry_points:
    - datashader = datashader.__main__:main
  number: '0'
  script: /tmp/abs_aa58dfo4_s/croots/recipe/datashader_1659349033064/_h_env_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 --ignore-installed --no-cache-dir -vvv
  string: py39h06a4308_0
requirements:
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - brotlipy 0.7.0 py39h27cfd23_1003
    - ca-certificates 2022.07.19 h06a4308_0
    - certifi 2022.6.15 py39h06a4308_0
    - cffi 1.15.0 py39hd667e15_1
    - charset-normalizer 2.0.4 pyhd3eb1b0_0
    - cryptography 37.0.1 py39h9ce1e76_0
    - idna 3.3 pyhd3eb1b0_0
    - ld_impl_linux-64 2.38 h1181459_1
    - libffi 3.3 he6710b0_2
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - ncurses 6.3 h5eee18b_3
    - openssl 1.1.1q h7f8727e_0
    - param 1.12.0 pyhd3eb1b0_0
    - pip 22.1.2 py39h06a4308_0
    - pycparser 2.21 pyhd3eb1b0_0
    - pyct 0.4.8 py39h06a4308_1
    - pyopenssl 22.0.0 pyhd3eb1b0_0
    - pysocks 1.7.1 py39h06a4308_0
    - python 3.9.12 h12debd9_1
    - pyyaml 6.0 py39h7f8727e_1
    - readline 8.1.2 h7f8727e_1
    - requests 2.28.1 py39h06a4308_0
    - setuptools 61.2.0 py39h06a4308_0
    - sqlite 3.38.5 hc218d9a_0
    - tk 8.6.12 h1ccaba5_0
    - tzdata 2022a hda174b7_0
    - urllib3 1.26.11 py39h06a4308_0
    - wheel 0.37.1 pyhd3eb1b0_0
    - xz 5.2.5 h7f8727e_1
    - yaml 0.2.5 h7b6447c_0
    - zlib 1.2.12 h7f8727e_2
  run:
    - bokeh
    - colorcet >=0.9.0
    - dask >=0.18.0
    - datashape >=0.5.1
    - numba >=0.51
    - numpy >=1.7
    - pandas >=0.24.1
    - param >=1.6.1
    - pillow >=3.1.1
    - pyct >=0.4.5
    - python >=3.9,<3.10.0a0
    - scipy
    - xarray >=0.9.6
  run_constrained:
    - numpy >=1.18,<1.22
test:
  commands:
    - pip check || true
    - datashader --help
    - datashader copy-examples --path=. --force
    - pytest --nbsmoke-run -k ".ipynb" getting_started/2_Pipeline.ipynb
  imports:
    - datashader
  requires:
    - fastparquet >=0.1.6
    - flake8
    - holoviews >=1.10.0
    - nbsmoke >0.5.0
    - netcdf4
    - pip
    - pytest >=3.9.3
    - pytest-benchmark >=3.0.0
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: aa372633-0a0d-47cc-8bb4-b9338e9f8e61
  recipe-maintainers:
    - jbednar
    - jsignell
    - ocefpaf
    - philippjfr
  remote_url: git@github.com:AnacondaRecipes/datashader-feedstock.git
  sha: 1b94decf29ba0591ed25083c7e531492c1dd5421
