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/
#
%{?!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
