meta.yaml

{% set version = "2022.7.1" %}


package:
  name: dask
  version: {{ version }}

source:
  url: https://files.pythonhosted.org/packages/68/e1/1edb5eeb15f88267075c37ee8c83c4527e462bdea328566c5b1e88db705c/dask-{{ version }}.tar.gz
  sha256: a3972489c46456e54070fe140a2178e002c2e96912ed9ef85c3896b74f469194

build:
  number: 0
  noarch: python

requirements:
  host:
    - python >=3.8
  run:
    - python >=3.8
    - dask-core {{ version }}
    - distributed {{ version }}
    - cytoolz >=0.8.2
    - lz4
    - numpy >=1.18
    - pandas >=1.0
    - bokeh >=2.4.2
    - jinja2

  run_constrained:
    - openssl !=1.1.1e

test:
  imports:
    - dask
    - dask.array
    - dask.bag
    - dask.bytes
    - dask.dataframe
    - dask.dataframe.tseries
    - dask.delayed
    - dask.diagnostics
    - dask.distributed
    - distributed

about:
  home: https://dask.org/
  summary: Parallel PyData with Task Scheduling
  license: BSD-3-Clause
  license_file:
    - LICENSE.txt
    - dask/array/NUMPY_LICENSE.txt
  description: |
    Dask is a flexible parallel computing library for analytics.
  doc_url: https://dask.org/
  dev_url: https://github.com/dask/dask

extra:
  recipe-maintainers:
    - alimanfoo
    - jakirkham
    - jcrist
    - koverholt
    - martindurant
    - mrocklin
    - pitrou
    - tomaugspurger
    - jrbourbeau