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python-dask
python-dask.spec
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File python-dask.spec of Package python-dask
# # spec file for package python-dask # # Copyright (c) 2019 SUSE LINUX GmbH, Nuernberg, Germany. # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via https://bugs.opensuse.org/ # %define skip_python2 1 %{?!python_module:%define python_module() python-%{**} python3-%{**}} # Tests require a network connection %bcond_with test # python(2/3)-distributed has a dependency loop with python(2/3)-dask %bcond_with test_distributed Name: python-dask Version: 1.1.1 Release: 0 Summary: Minimal task scheduling abstraction License: BSD-3-Clause Group: Development/Languages/Python URL: http://github.com/ContinuumIO/dask/ Source: https://files.pythonhosted.org/packages/source/d/dask/dask-%{version}.tar.gz BuildRequires: %{python_module setuptools} BuildRequires: fdupes BuildRequires: python-rpm-macros Requires: python-toolz >= 0.7.3 Recommends: %{name}-array = %{version} Recommends: %{name}-bag = %{version} Recommends: %{name}-dataframe = %{version} Recommends: %{name}-distributed = %{version} Recommends: %{name}-dot = %{version} Recommends: %{name}-multiprocessing = %{version} Recommends: python-cachey Recommends: python-chest Recommends: python-cytoolz >= 0.7.3 Recommends: python-hdfs3 Recommends: python-lz4 Recommends: python-lzmaffi Recommends: python-s3fs >= 0.0.8 Recommends: python-scipy Recommends: python-snappy BuildArch: noarch %if %{with test} BuildRequires: %{python_module SQLAlchemy} BuildRequires: %{python_module bcolz} BuildRequires: %{python_module bokeh} # Test-only imports BuildRequires: %{python_module boto3} BuildRequires: %{python_module cachey} BuildRequires: %{python_module chest} BuildRequires: %{python_module cloudpickle >= 0.2.1} BuildRequires: %{python_module graphviz} BuildRequires: %{python_module h5py} BuildRequires: %{python_module jupyter_ipython} BuildRequires: %{python_module lzmaffi} BuildRequires: %{python_module moto} BuildRequires: %{python_module multipledispatch} BuildRequires: %{python_module numpy} BuildRequires: %{python_module pandas >= 0.19.0} BuildRequires: %{python_module pandas-datareader} BuildRequires: %{python_module partd >= 0.3.7} BuildRequires: %{python_module psutil} BuildRequires: %{python_module pytest} BuildRequires: %{python_module s3fs >= 0.0.8} BuildRequires: %{python_module scikit-image} BuildRequires: %{python_module scikit-learn} BuildRequires: %{python_module scipy} BuildRequires: %{python_module six} BuildRequires: %{python_module sparse} BuildRequires: %{python_module tables} BuildRequires: %{python_module tornado} BuildRequires: graphviz BuildRequires: graphviz-gd BuildRequires: graphviz-gnome BuildRequires: python-mock BuildConflicts: python3-buildservice-tweak %if %{with test_distributed} BuildRequires: %{python_module distributed} %endif %endif %python_subpackages %description A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. # This must have a Requires for dask and all the dask subpackages %package all Summary: All dask components Group: Development/Languages/Python Requires: %{name} = %{version} Requires: %{name}-array = %{version} Requires: %{name}-bag = %{version} Requires: %{name}-dataframe = %{version} Requires: %{name}-distributed = %{version} Requires: %{name}-dot = %{version} Requires: %{name}-multiprocessing = %{version} %description all A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package pulls in all the optional dask components. %package array Summary: Numpy-like array data structure for dask Group: Development/Languages/Python Requires: %{name} = %{version} Requires: python-numpy Recommends: python-chest Recommends: python-h5py Recommends: python-pandas Recommends: python-scikit-image Recommends: python-scipy %description array A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package contains the dask array class. Dask arrays implement a subset of the NumPy interface on large arrays using blocked algorithms and task scheduling. %package bag Summary: Data structure generic python objects in dask Group: Development/Languages/Python Requires: %{name} = %{version} Requires: %{name}-multiprocessing = %{version} Recommends: python-partd >= 0.3.7 %description bag A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package contains the dask bag class. Dask.Bag parallelizes computations across a large collection of generic Python objects. It is particularly useful when dealing with large quantities of semi-structured data like JSON blobs or log files. %package dataframe Summary: Pandas-like DataFrame data structure for dask Group: Development/Languages/Python Requires: %{name} = %{version} Requires: %{name}-array = %{version} Requires: %{name}-multiprocessing = %{version} Requires: python-numpy Requires: python-pandas Requires: python-six Recommends: %{name}-bag = %{version} Recommends: python-SQLAlchemy Recommends: python-bcolz Recommends: python-chest Recommends: python-fastparquet Recommends: python-pandas-datareader Recommends: python-partd >= 0.3.7 Recommends: python-psutil Recommends: python-pyarrow %description dataframe A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package contains the dask DataFrame class. A Dask DataFrame is a large parallel dataframe composed of many smaller Pandas dataframes, split along the index. These pandas dataframes may live on disk for larger-than-memory computing on a single machine, or on many different machines in a cluster. %package distributed Summary: Interface with the distributed task scheduler in dask Group: Development/Languages/Python Requires: %{name} = %{version} Requires: python-distributed >= 1.16 Requires: python-s3fs >= 0.0.8 %description distributed A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package contains the dask distributed interface. Dask.distributed is a lightweight library for distributed computing in Python. It extends both the concurrent.futures and dask APIs to moderate sized clusters. %package dot Summary: Display dask graphs using graphviz Group: Development/Languages/Python Requires: %{name} = %{version} Requires: graphviz Requires: graphviz-gd Requires: graphviz-gnome Requires: python-graphviz %description dot A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package contains the graphviz dot rendering interface. %package multiprocessing Summary: Display dask graphs using graphviz Group: Development/Languages/Python Requires: %{name} = %{version} Requires: python-cloudpickle >= 0.2.1 Requires: python-partd >= 0.3.7 %description multiprocessing A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package contains the multiprocessing interface. %prep %setup -q -n dask-%{version} %build %python_build %install %python_install %python_expand %fdupes %{buildroot}%{$python_sitelib} %if %{with test} %check %{python_expand export PYTHONPATH=%{buildroot}%{$python_sitelib} py.test-%{python_bin_suffix} dask } %endif %files %{python_files} %doc README.rst %license LICENSE.txt %{python_sitelib}/dask/ %{python_sitelib}/dask-%{version}-py*.egg-info %exclude %{python_sitelib}/dask/array/ %exclude %{python_sitelib}/dask/bag/ %exclude %{python_sitelib}/dask/dataframe/ %exclude %{python_sitelib}/dask/distributed.py* %exclude %{python_sitelib}/dask/dot.py* %exclude %{python_sitelib}/dask/multiprocessing.py* %exclude %{python3_sitelib}/dask/__pycache__/distributed.* %exclude %{python3_sitelib}/dask/__pycache__/dot.* %exclude %{python3_sitelib}/dask/__pycache__/multiprocessing.* %files %{python_files all} %license LICENSE.txt %files %{python_files array} %license LICENSE.txt %{python_sitelib}/dask/array/ %files %{python_files bag} %license LICENSE.txt %{python_sitelib}/dask/bag/ %files %{python_files dataframe} %license LICENSE.txt %{python_sitelib}/dask/dataframe/ %files %{python_files distributed} %license LICENSE.txt %{python_sitelib}/dask/distributed.py* %python3_only %{python_sitelib}/dask/__pycache__/distributed.* %files %{python_files dot} %license LICENSE.txt %{python_sitelib}/dask/dot.py* %python3_only %{python_sitelib}/dask/__pycache__/dot.* %files %{python_files multiprocessing} %license LICENSE.txt %{python_sitelib}/dask/multiprocessing.py* %python3_only %{python_sitelib}/dask/__pycache__/multiprocessing.* %changelog
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