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Use multiple
outputs
for dask
& distributed
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{% set version = "2022.2.1" %} | ||
{% set number = 0 %} | ||
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package: | ||
name: dask | ||
name: dask-split | ||
version: {{ version }} | ||
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source: | ||
url: https://pypi.io/packages/source/d/dask/dask-{{ version }}.tar.gz | ||
sha256: b699da18d147da84c6c0be26d724dc1ec384960bf1f23c8db4f90740c9ac0a89 | ||
- url: https://pypi.io/packages/source/d/dask/dask-{{ version }}.tar.gz | ||
sha256: b699da18d147da84c6c0be26d724dc1ec384960bf1f23c8db4f90740c9ac0a89 | ||
folder: dask | ||
- url: https://pypi.io/packages/source/d/distributed/distributed-{{ version }}.tar.gz | ||
sha256: fb62a75af8ef33bbe1aa80a68c01a33a93c1cd5a332dd017ab44955bf7ecf65b | ||
folder: distributed | ||
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build: | ||
number: 0 | ||
noarch: python | ||
number: {{ number }} | ||
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requirements: | ||
host: | ||
- python >=3.8 | ||
run: | ||
- python >=3.8 | ||
- dask-core {{ version }} | ||
- distributed {{ version }} | ||
- cytoolz >=0.8.2 | ||
- numpy >=1.18 | ||
- pandas >=1.0 | ||
- bokeh >=2.1.1 | ||
- jinja2 | ||
outputs: | ||
- name: dask-core | ||
build: | ||
noarch: python | ||
number: {{ number }} | ||
script: | ||
- cd dask | ||
- {{ PYTHON }} -m pip install . -vv | ||
requirements: | ||
host: | ||
- python >=3.8 | ||
- pip | ||
run: | ||
- python >=3.8 | ||
- cloudpickle >=1.1.1 | ||
- fsspec >=0.6.0 | ||
- packaging >=20.0 | ||
- partd >=0.3.10 | ||
- pyyaml >=5.3.1 | ||
- toolz >=0.8.2 | ||
run_constrained: | ||
- numpy >=1.18 | ||
- pandas >=1.0 | ||
- distributed {{ version }} | ||
- bokeh >=2.1.1 | ||
- jinja2 | ||
test: | ||
requires: | ||
- pip | ||
imports: | ||
- dask | ||
commands: | ||
- pip check | ||
about: | ||
home: https://github.com/dask/dask/ | ||
summary: Parallel PyData with Task Scheduling | ||
license: BSD-3-Clause | ||
license_file: LICENSE.txt | ||
summary: Parallel Python with task scheduling | ||
doc_url: https://dask.org/ | ||
dev_url: https://github.com/dask/dask | ||
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run_constrained: | ||
- openssl !=1.1.1e | ||
- name: distributed | ||
version: {{ version }} | ||
build: | ||
noarch: python | ||
number: {{ number }} | ||
script: | ||
- cd dask | ||
- {{ PYTHON }} -m pip install . -vv | ||
requirements: | ||
host: | ||
- python >=3.8 | ||
run: | ||
- python >=3.8 | ||
- click >=6.6 | ||
- cloudpickle >=1.5.0 | ||
- cytoolz >=0.8.2 | ||
- dask-core {{ version }} | ||
- jinja2 | ||
- msgpack-python >=0.6.0 | ||
- packaging >=20.0 | ||
- psutil >=5.0 | ||
- pyyaml | ||
- sortedcontainers !=2.0.0,!=2.0.1 | ||
- tblib >=1.6.0 | ||
- toolz >=0.8.2 | ||
- tornado >=6.0.3 | ||
- zict >=0.1.3 | ||
- setuptools <60.0.0 | ||
run_constrained: | ||
- openssl !=1.1.1e | ||
test: | ||
requires: | ||
- pip | ||
imports: | ||
- distributed | ||
- distributed.cli | ||
- distributed.comm | ||
- distributed.deploy | ||
- distributed.diagnostics | ||
- distributed.protocol | ||
commands: | ||
- pip check | ||
- dask-scheduler --help | ||
- dask-ssh --help | ||
- dask-worker --help | ||
about: | ||
home: https://distributed.dask.org | ||
summary: Distributed scheduler for Dask | ||
license: BSD-3-Clause | ||
license_family: BSD | ||
license_file: LICENSE.txt | ||
description: | | ||
Distributed is a lightweight library for distributed computing in Python. | ||
It extends both the concurrent.futures and dask APIs to moderate sized | ||
clusters. | ||
doc_url: https://distributed.dask.org | ||
doc_source_url: https://github.com/dask/distributed/blob/main/docs/source/index.rst | ||
dev_url: https://github.com/dask/distributed | ||
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test: | ||
imports: | ||
- dask | ||
- dask.array | ||
- dask.bag | ||
- dask.bytes | ||
- dask.dataframe | ||
- dask.dataframe.tseries | ||
- dask.delayed | ||
- dask.diagnostics | ||
- dask.distributed | ||
- distributed | ||
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||
about: | ||
home: https://dask.org/ | ||
summary: Parallel PyData with Task Scheduling | ||
license: BSD-3-Clause | ||
license_file: LICENSE.txt | ||
description: | | ||
Dask is a flexible parallel computing library for analytics. | ||
doc_url: https://dask.org/ | ||
dev_url: https://github.com/dask/dask | ||
- name: dask | ||
version: {{ version }} | ||
build: | ||
noarch: python | ||
number: {{ number }} | ||
requirements: | ||
host: | ||
- python >=3.8 | ||
run: | ||
- python >=3.8 | ||
- dask-core {{ version }} | ||
- distributed {{ version }} | ||
- cytoolz >=0.8.2 | ||
- numpy >=1.18 | ||
- pandas >=1.0 | ||
- bokeh >=2.1.1 | ||
- 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 | ||
description: | | ||
Dask is a flexible parallel computing library for analytics. | ||
doc_url: https://dask.org/ | ||
dev_url: https://github.com/dask/dask | ||
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extra: | ||
recipe-maintainers: | ||
- alimanfoo | ||
- jakirkham | ||
- jcrist | ||
- jrbourbeau | ||
- koverholt | ||
- marcelotrevisani | ||
- martindurant | ||
- mrocklin | ||
- ogrisel | ||
- pitrou | ||
- shoyer | ||
- sinhrks | ||
- tomaugspurger | ||
- jrbourbeau |