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from distutils.core import setup, Extension
from distutils.sysconfig import *
from distutils.util import *
import os
import numpy
data_files = []
# Include gsl dlls for the win32 distribution
if get_platform() == "win32":
dlls = ["mlpy\gslwin\libgsl-0.dll", "mlpy\gslwin\libgslcblas-0.dll"]
data_files += [("Lib\site-packages\mlpy", dlls)]
## Python include
py_include = get_python_inc()
## Numpy header files
numpy_lib = os.path.split(numpy.__file__)[0]
numpy_include = os.path.join(numpy_lib, 'core/include')
## Numpy Support include
numpysupport_include = 'mlpy/numpysupport'
## Extra compile args
extra_compile_args = ['-Wno-strict-prototypes']
##### Includes #####
base_include = [py_include, numpy_include]
## Svmcore include
svmcore_include = base_include + [numpysupport_include, 'mlpy/svmcore/include']
## Nncore include
nncore_include = base_include + [numpysupport_include, 'mlpy/nncore/include']
## Canberracore include
canberracore_include = base_include + [numpysupport_include]
####################
##### Sources ######
## Svmcore sources
svmcore_sources = ['mlpy/svmcore/src/alloc.c', 'mlpy/svmcore/src/sort.c',
'mlpy/svmcore/src/sampling.c', 'mlpy/svmcore/src/unique.c',
'mlpy/svmcore/src/dist.c', 'mlpy/svmcore/src/svm.c',
'mlpy/svmcore/src/matrix.c', 'mlpy/svmcore/src/rsfn.c',
'mlpy/svmcore/src/rnd.c', 'mlpy/svmcore/svmcore.c',
'mlpy/numpysupport/numpysupport.c']
## Nncore sources
nncore_sources = ['mlpy/nncore/src/alloc.c', 'mlpy/nncore/src/sort.c',
'mlpy/nncore/src/unique.c', 'mlpy/nncore/src/dist.c',
'mlpy/nncore/src/nn.c', 'mlpy/nncore/nncore.c',
'mlpy/numpysupport/numpysupport.c']
## Canberracore sources
canberracore_sources = ['mlpy/canberracore/canberracore.c',
'mlpy/numpysupport/numpysupport.c']
####################
# Setup
setup(name = 'MLPY',
version = '2.2.0',
requires = ['numpy (>= 1.1.0)', 'gsl (>= 1.8)'],
description = 'mlpy - Machine Learning Py - high-performance Python package for predictive modeling',
author = 'mlpy Developers - FBK-MPBA',
author_email = 'albanese@fbk.eu',
url = 'https://mlpy.fbk.eu',
download_url = 'https://mlpy.fbk.eu/wiki/MlpyDownloads',
license='GPLv3',
classifiers=['Development Status :: 5 - Production/Stable',
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'License :: OSI Approved :: GNU General Public License (GPL)',
'Natural Language :: English',
'Operating System :: POSIX :: Linux',
'Operating System :: POSIX :: BSD',
'Operating System :: Unix',
'Operating System :: MacOS :: MacOS X',
'Operating System :: Microsoft :: Windows',
'Programming Language :: C',
'Programming Language :: Python',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
packages=['mlpy'],
ext_modules=[Extension('mlpy.svmcore', svmcore_sources,
include_dirs=svmcore_include,
extra_compile_args=extra_compile_args),
Extension('mlpy.nncore', nncore_sources,
include_dirs=nncore_include,
extra_compile_args=extra_compile_args),
Extension('mlpy.canberracore', canberracore_sources,
include_dirs=canberracore_include,
extra_compile_args=extra_compile_args),
Extension('mlpy.hccore', ['mlpy/hccore/hccore.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args),
Extension('mlpy.dwtcore', ['mlpy/dwtcore/dwt.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args,
libraries=['gsl', 'gslcblas', 'm']),
Extension('mlpy.uwtcore', ['mlpy/uwtcore/uwt.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args,
libraries=['gsl', 'gslcblas', 'm']),
Extension('mlpy.gslpy', ['mlpy/gslpy.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args,
libraries=['gsl', 'gslcblas', 'm']),
Extension('mlpy.cwb', ['mlpy/cwt/cwb.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args,
libraries=['gsl', 'gslcblas', 'm']),
Extension('mlpy.peaksd', ['mlpy/peaksd.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args),
Extension('mlpy.misc', ['mlpy/misc.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args),
Extension('mlpy.dtwcore', ['mlpy/dtwcore/dtwcore.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args),
Extension('mlpy.kmeanscore', ['mlpy/kmeanscore/kmeanscore.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args,
libraries=['gsl', 'gslcblas', 'm']),
Extension('mlpy.kernel', ['mlpy/kernel/kernel.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args,
libraries=['m']),
Extension('mlpy.spectralreg', ['mlpy/spectralreg/spectralreg.c'],
include_dirs=base_include,
extra_compile_args=extra_compile_args),
],
scripts=['mlpy/tools/irelief-sigma', 'mlpy/tools/srda-landscape',
'mlpy/tools/svm-landscape', 'mlpy/tools/fda-landscape',
'mlpy/tools/knn-landscape', 'mlpy/tools/pda-landscape',
'mlpy/tools/dlda-landscape', 'mlpy/tools/borda',
'mlpy/tools/canberra', 'mlpy/tools/canberraq'],
data_files = data_files
)
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