Commit 4944fbae authored by Kruyff,D.L.W. (Dylan)'s avatar Kruyff,D.L.W. (Dylan)
Browse files

Make prototype compatible for larger data size

parent 12614e4f
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Metadata-Version: 2.1
Name: dask
Version: 2.21.0
Summary: Parallel PyData with Task Scheduling
Home-page: https://github.com/dask/dask/
Maintainer: Matthew Rocklin
Maintainer-email: mrocklin@gmail.com
License: BSD
Keywords: task-scheduling parallel numpy pandas pydata
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
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Dask
====
|Linux Build Status| |Windows Build Status| |Coverage| |Doc Status| |Gitter| |Version Status| |NumFOCUS|
Dask is a flexible parallel computing library for analytics. See
documentation_ for more information.
LICENSE
-------
New BSD. See `License File <https://github.com/dask/dask/blob/master/LICENSE.txt>`__.
.. _documentation: https://dask.org
.. |Linux Build Status| image:: https://travis-ci.org/dask/dask.svg?branch=master
:target: https://travis-ci.org/dask/dask
.. |Windows Build Status| image:: https://github.com/dask/dask/workflows/Windows%20CI/badge.svg?branch=master
:target: https://github.com/dask/dask/actions?query=workflow%3A%22Windows+CI%22
.. |Coverage| image:: https://coveralls.io/repos/dask/dask/badge.svg
:target: https://coveralls.io/r/dask/dask
:alt: Coverage status
.. |Doc Status| image:: https://readthedocs.org/projects/dask/badge/?version=latest
:target: https://dask.org
:alt: Documentation Status
.. |Gitter| image:: https://badges.gitter.im/Join%20Chat.svg
:alt: Join the chat at https://gitter.im/dask/dask
:target: https://gitter.im/dask/dask?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge
.. |Version Status| image:: https://img.shields.io/pypi/v/dask.svg
:target: https://pypi.python.org/pypi/dask/
.. |NumFOCUS| image:: https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A
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Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any
from . import config, datasets
from .core import istask
from .local import get_sync as get
try:
from .delayed import delayed
except ImportError:
pass
try:
from .base import visualize, compute, persist, optimize, is_dask_collection
except ImportError:
pass