# This file created by conda-build 3.21.9
# meta.yaml template originally from:
# /tmp/abs_2e9ecf17-022c-4772-97e7-0255e7bc29c460ibnl62/clone/recipe, last modified Fri Jul 22 21:55:36 2022
# ------------------------------------------------

package:
  name: dask
  version: 2022.7.0
source:
  sha256: 50ad63035d6429cfa71d4c1832888a668e4260b1ef11163c795edc0ed177b4b3
  url: https://pypi.io/packages/source/d/dask/dask-2022.7.0.tar.gz
build:
  number: '0'
  string: py39h06a4308_0
requirements:
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - ca-certificates 2022.07.19 h06a4308_0
    - certifi 2022.6.15 py39h06a4308_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
    - pip 22.1.2 py39h06a4308_0
    - python 3.9.12 h12debd9_1
    - readline 8.1.2 h7f8727e_1
    - setuptools 61.2.0 py39h06a4308_0
    - sqlite 3.38.5 hc218d9a_0
    - tk 8.6.12 h1ccaba5_0
    - tzdata 2022a hda174b7_0
    - wheel 0.37.1 pyhd3eb1b0_0
    - xz 5.2.5 h7f8727e_1
    - zlib 1.2.12 h7f8727e_2
  run:
    - bokeh >=2.4.2,<3.0
    - cytoolz >=0.8.2
    - dask-core 2022.7.0.*
    - distributed 2022.7.0.*
    - jinja2
    - lz4
    - numpy >=1.18
    - pandas >=1.0
    - python >=3.9,<3.10.0a0
  run_constrained:
    - openssl !=1.1.1e
test:
  commands:
    - pip check
  imports:
    - dask
    - dask.array
    - dask.bag
    - dask.bytes
    - dask.dataframe
    - dask.dataframe.io
    - dask.dataframe.tseries
    - dask.delayed
    - dask.diagnostics
    - dask.distributed
    - distributed
  requires:
    - pip
about:
  description: 'Dask is a flexible parallel computing library for analytics.

    '
  dev_url: https://github.com/dask/dask
  doc_source_url: https://github.com/dask/dask/tree/main/docs
  doc_url: https://dask.org/
  home: https://dask.org/
  license: BSD-3-Clause
  license_family: BSD
  license_file: LICENSE.txt
  summary: Parallel PyData with Task Scheduling
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: 2e9ecf17-022c-4772-97e7-0255e7bc29c4
  recipe-maintainers:
    - alimanfoo
    - jakirkham
    - jcrist
    - jrbourbeau
    - koverholt
    - martindurant
    - mrocklin
    - pitrou
    - tomaugspurger
  remote_url: git@github.com:AnacondaRecipes/dask-feedstock.git
  sha: 56289cf91a7c8883b520dd19700f31253d6fe96c
