<reponame>HPCToolkit/hpctest<gh_stars>1-10
##############################################################################
# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by <NAME>, <EMAIL>, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/spack/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *


class PyPandas(PythonPackage):
    """pandas is a Python package providing fast, flexible, and expressive
       data structures designed to make working with relational or
       labeled data both easy and intuitive. It aims to be the
       fundamental high-level building block for doing practical, real
       world data analysis in Python. Additionally, it has the broader
       goal of becoming the most powerful and flexible open source data
       analysis / manipulation tool available in any language.

    """
    homepage = "http://pandas.pydata.org/"
    url = "https://pypi.io/packages/source/p/pandas/pandas-0.19.0.tar.gz"

    version('0.19.0', 'bc9bb7188e510b5d44fbdd249698a2c3')
    version('0.18.0', 'f143762cd7a59815e348adf4308d2cf6')
    version('0.16.1', 'fac4f25748f9610a3e00e765474bdea8')
    version('0.16.0', 'bfe311f05dc0c351f8955fbd1e296e73')

    depends_on('py-dateutil', type=('build', 'run'))
    depends_on('py-numpy', type=('build', 'run'))
    depends_on('py-setuptools', type='build')
    depends_on('py-cython', type='build')
    depends_on('py-pytz', type=('build', 'run'))
    depends_on('py-numexpr', type=('build', 'run'))
    depends_on('py-bottleneck', type=('build', 'run'))

##############################################################################
# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by <NAME>, <EMAIL>, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/spack/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *


class PyPandas(PythonPackage):
    """pandas is a Python package providing fast, flexible, and expressive
       data structures designed to make working with relational or
       labeled data both easy and intuitive. It aims to be the
       fundamental high-level building block for doing practical, real
       world data analysis in Python. Additionally, it has the broader
       goal of becoming the most powerful and flexible open source data
       analysis / manipulation tool available in any language.

    """
    homepage = "http://pandas.pydata.org/"
    url = "https://pypi.io/packages/source/p/pandas/pandas-0.19.0.tar.gz"

    version('0.19.0', 'bc9bb7188e510b5d44fbdd249698a2c3')
    version('0.18.0', 'f143762cd7a59815e348adf4308d2cf6')
    version('0.16.1', 'fac4f25748f9610a3e00e765474bdea8')
    version('0.16.0', 'bfe311f05dc0c351f8955fbd1e296e73')

    depends_on('py-dateutil', type=('build', 'run'))
    depends_on('py-numpy', type=('build', 'run'))
    depends_on('py-setuptools', type='build')
    depends_on('py-cython', type='build')
    depends_on('py-pytz', type=('build', 'run'))
    depends_on('py-numexpr', type=('build', 'run'))
    depends_on('py-bottleneck', type=('build', 'run'))
############################################################################## # Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC. # Produced at the Lawrence Livermore National Laboratory. # # This file is part of Spack. # Created by <NAME>, <EMAIL>, All rights reserved. # LLNL-CODE-647188 # # For details, see https://github.com/spack/spack # Please also see the NOTICE and LICENSE files for our notice and the LGPL. # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License (as # published by the Free Software Foundation) version 2.1, February 1999. # # This program is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and # conditions of the GNU Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this program; if not, write to the Free Software # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA ############################################################################## pandas is a Python package providing fast, flexible, and expressive        data structures designed to make working with relational or        labeled data both easy and intuitive. It aims to be the        fundamental high-level building block for doing practical, real        world data analysis in Python. Additionally, it has the broader        goal of becoming the most powerful and flexible open source data        analysis / manipulation tool available in any language.