# This file created by conda-build 3.22.0
# meta.yaml template originally from:
# /var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_788ffh2sj4/clone/recipe, last modified Tue Nov 15 02:43:39 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: '1'
  script: /var/folders/nz/j6p8yfhx1mv_0grj5xl4650h0000gp/T/abs_788ffh2sj4/croot/datashader_1668501824963/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_pla/bin/python
    -m pip install . --no-deps --ignore-installed --no-cache-dir -vvv
  string: py38hca03da5_1
requirements:
  host:
    - brotlipy 0.7.0 py38h1a28f6b_1002
    - ca-certificates 2022.10.11 hca03da5_0
    - certifi 2022.9.24 py38hca03da5_0
    - cffi 1.15.1 py38h22df2f2_0
    - charset-normalizer 2.0.4 pyhd3eb1b0_0
    - cryptography 38.0.1 py38h834c97f_0
    - idna 3.4 py38hca03da5_0
    - libcxx 14.0.6 h848a8c0_0
    - libffi 3.4.2 hc377ac9_4
    - ncurses 6.3 h1a28f6b_3
    - openssl 1.1.1s h1a28f6b_0
    - param 1.12.0 pyhd3eb1b0_0
    - pip 22.2.2 py38hca03da5_0
    - pycparser 2.21 pyhd3eb1b0_0
    - pyct 0.4.8 py38hca03da5_1
    - pyopenssl 22.0.0 pyhd3eb1b0_0
    - pysocks 1.7.1 py38hca03da5_0
    - python 3.8.15 h266c4f5_0
    - pyyaml 6.0 py38h1a28f6b_0
    - readline 8.2 h1a28f6b_0
    - requests 2.28.1 py38hca03da5_0
    - setuptools 65.5.0 py38hca03da5_0
    - sqlite 3.39.3 h1058600_0
    - tk 8.6.12 hb8d0fd4_0
    - urllib3 1.26.12 py38hca03da5_0
    - wheel 0.37.1 pyhd3eb1b0_0
    - xz 5.2.6 h1a28f6b_0
    - yaml 0.2.5 h1a28f6b_0
    - zlib 1.2.13 h5a0b063_0
  run:
    - bokeh <3.0.0
    - colorcet >=0.9.0
    - dask >=0.18.0
    - datashape >=0.5.1
    - numba >=0.51
    - numpy >=1.18,!=1.22.0,!=1.22.1,!=1.22.2,<1.23
    - pandas >=0.24.1
    - param >=1.6.1
    - pillow >=3.1.1
    - pyct >=0.4.5
    - python >=3.8,<3.9.0a0
    - scipy
    - xarray >=0.9.6
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: 7874963f-9075-490e-bf35-d0889ac42c22
  recipe-maintainers:
    - jbednar
    - jsignell
    - ocefpaf
    - philippjfr
  remote_url: git@github.com:AnacondaRecipes/datashader-feedstock.git
  sha: c5f64ab4825bffbf182adf60f73e96260534bcaf
