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import imp
import os
import sys
import shutil
from os.path import join
from numpy.distutils import log
from distutils.dep_util import newer
from distutils.sysconfig import get_config_var
import warnings
import re
from setup_common import *
# Set to True to enable multiple file compilations (experimental)
try:
os.environ['NPY_SEPARATE_COMPILATION']
ENABLE_SEPARATE_COMPILATION = True
except KeyError:
ENABLE_SEPARATE_COMPILATION = False
# XXX: ugly, we use a class to avoid calling twice some expensive functions in
# config.h/numpyconfig.h. I don't see a better way because distutils force
# config.h generation inside an Extension class, and as such sharing
# configuration informations between extensions is not easy.
# Using a pickled-based memoize does not work because config_cmd is an instance
# method, which cPickle does not like.
try:
import cPickle as _pik
except ImportError:
import pickle as _pik
import copy
class CallOnceOnly(object):
def __init__(self):
self._check_types = None
self._check_ieee_macros = None
self._check_complex = None
def check_types(self, *a, **kw):
if self._check_types is None:
out = check_types(*a, **kw)
self._check_types = _pik.dumps(out)
else:
out = copy.deepcopy(_pik.loads(self._check_types))
return out
def check_ieee_macros(self, *a, **kw):
if self._check_ieee_macros is None:
out = check_ieee_macros(*a, **kw)
self._check_ieee_macros = _pik.dumps(out)
else:
out = copy.deepcopy(_pik.loads(self._check_ieee_macros))
return out
def check_complex(self, *a, **kw):
if self._check_complex is None:
out = check_complex(*a, **kw)
self._check_complex = _pik.dumps(out)
else:
out = copy.deepcopy(_pik.loads(self._check_complex))
return out
PYTHON_HAS_UNICODE_WIDE = True
def pythonlib_dir():
"""return path where libpython* is."""
if sys.platform == 'win32':
return os.path.join(sys.prefix, "libs")
else:
return get_config_var('LIBDIR')
def is_npy_no_signal():
"""Return True if the NPY_NO_SIGNAL symbol must be defined in configuration
header."""
return sys.platform == 'win32'
def is_npy_no_smp():
"""Return True if the NPY_NO_SMP symbol must be defined in public
header (when SMP support cannot be reliably enabled)."""
# Python 2.3 causes a segfault when
# trying to re-acquire the thread-state
# which is done in error-handling
# ufunc code. NPY_ALLOW_C_API and friends
# cause the segfault. So, we disable threading
# for now.
if sys.version[:5] < '2.4.2':
nosmp = 1
else:
# Perhaps a fancier check is in order here.
# so that threads are only enabled if there
# are actually multiple CPUS? -- but
# threaded code can be nice even on a single
# CPU so that long-calculating code doesn't
# block.
try:
nosmp = os.environ['NPY_NOSMP']
nosmp = 1
except KeyError:
nosmp = 0
return nosmp == 1
def win32_checks(deflist):
from numpy.distutils.misc_util import get_build_architecture
a = get_build_architecture()
# Distutils hack on AMD64 on windows
print 'BUILD_ARCHITECTURE: %r, os.name=%r, sys.platform=%r' % \
(a, os.name, sys.platform)
if a == 'AMD64':
deflist.append('DISTUTILS_USE_SDK')
# On win32, force long double format string to be 'g', not
# 'Lg', since the MS runtime does not support long double whose
# size is > sizeof(double)
if a == "Intel" or a == "AMD64":
deflist.append('FORCE_NO_LONG_DOUBLE_FORMATTING')
def check_math_capabilities(config, moredefs, mathlibs):
def check_func(func_name):
return config.check_func(func_name, libraries=mathlibs,
decl=True, call=True)
def check_funcs_once(funcs_name):
decl = dict([(f, True) for f in funcs_name])
st = config.check_funcs_once(funcs_name, libraries=mathlibs,
decl=decl, call=decl)
if st:
moredefs.extend([fname2def(f) for f in funcs_name])
return st
def check_funcs(funcs_name):
# Use check_funcs_once first, and if it does not work, test func per
# func. Return success only if all the functions are available
if not check_funcs_once(funcs_name):
# Global check failed, check func per func
for f in funcs_name:
if check_func(f):
moredefs.append(fname2def(f))
return 0
else:
return 1
#use_msvc = config.check_decl("_MSC_VER")
if not check_funcs_once(MANDATORY_FUNCS):
raise SystemError("One of the required function to build numpy is not"
" available (the list is %s)." % str(MANDATORY_FUNCS))
# Standard functions which may not be available and for which we have a
# replacement implementation. Note that some of these are C99 functions.
# XXX: hack to circumvent cpp pollution from python: python put its
# config.h in the public namespace, so we have a clash for the common
# functions we test. We remove every function tested by python's
# autoconf, hoping their own test are correct
if sys.version_info[:2] >= (2, 5):
for f in OPTIONAL_STDFUNCS_MAYBE:
if config.check_decl(fname2def(f),
headers=["Python.h", "math.h"]):
OPTIONAL_STDFUNCS.remove(f)
check_funcs(OPTIONAL_STDFUNCS)
# C99 functions: float and long double versions
check_funcs(C99_FUNCS_SINGLE)
check_funcs(C99_FUNCS_EXTENDED)
def check_complex(config, mathlibs):
priv = []
pub = []
# Check for complex support
st = config.check_header('complex.h')
if st:
priv.append('HAVE_COMPLEX_H')
pub.append('NPY_USE_C99_COMPLEX')
for t in C99_COMPLEX_TYPES:
st = config.check_type(t, headers=["complex.h"])
if st:
pub.append(('NPY_HAVE_%s' % type2def(t), 1))
def check_prec(prec):
flist = [f + prec for f in C99_COMPLEX_TYPES]
if not config.check_funcs_once(flist):
for f in flist:
if config.check_func(f):
priv.append(fname2def(f))
return priv, pub
def check_ieee_macros(config):
priv = []
pub = []
macros = []
# XXX: hack to circumvent cpp pollution from python: python put its
# config.h in the public namespace, so we have a clash for the common
# functions we test. We remove every function tested by python's
# autoconf, hoping their own test are correct
_macros = ["isnan", "isinf", "signbit", "isfinite"]
if sys.version_info[:2] >= (2, 6):
for f in _macros:
st = config.check_decl(fname2def("decl_%s" % f),
headers=["Python.h", "math.h"])
if not st:
macros.append(f)
else:
macros = _macros[:]
# Normally, isnan and isinf are macro (C99), but some platforms only have
# func, or both func and macro version. Check for macro only, and define
# replacement ones if not found.
# Note: including Python.h is necessary because it modifies some math.h
# definitions
for f in macros:
st = config.check_decl(f, headers = ["Python.h", "math.h"])
if st:
priv.append(fname2def("decl_%s" % f))
pub.append('NPY_%s' % fname2def("decl_%s" % f))
return priv, pub
def check_types(config_cmd, ext, build_dir):
private_defines = []
public_defines = []
# Expected size (in number of bytes) for each type. This is an
# optimization: those are only hints, and an exhaustive search for the size
# is done if the hints are wrong.
expected = {}
expected['short'] = [2]
expected['int'] = [4]
expected['long'] = [8, 4]
expected['float'] = [4]
expected['double'] = [8]
expected['long double'] = [8, 12, 16]
expected['Py_intptr_t'] = [4, 8]
expected['PY_LONG_LONG'] = [8]
expected['long long'] = [8]
# Check we have the python header (-dev* packages on Linux)
result = config_cmd.check_header('Python.h')
if not result:
raise SystemError(
"Cannot compiler 'Python.h'. Perhaps you need to "\
"install python-dev|python-devel.")
# Check basic types sizes
for type in ('short', 'int', 'long'):
res = config_cmd.check_decl("SIZEOF_%s" % sym2def(type), headers = ["Python.h"])
if res:
public_defines.append(('NPY_SIZEOF_%s' % sym2def(type), "SIZEOF_%s" % sym2def(type)))
else:
res = config_cmd.check_type_size(type, expected=expected[type])
if res >= 0:
public_defines.append(('NPY_SIZEOF_%s' % sym2def(type), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % type)
for type in ('float', 'double', 'long double'):
already_declared = config_cmd.check_decl("SIZEOF_%s" % sym2def(type),
headers = ["Python.h"])
res = config_cmd.check_type_size(type, expected=expected[type])
if res >= 0:
public_defines.append(('NPY_SIZEOF_%s' % sym2def(type), '%d' % res))
if not already_declared and not type == 'long double':
private_defines.append(('SIZEOF_%s' % sym2def(type), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % type)
# Compute size of corresponding complex type: used to check that our
# definition is binary compatible with C99 complex type (check done at
# build time in npy_common.h)
complex_def = "struct {%s __x; %s __y;}" % (type, type)
res = config_cmd.check_type_size(complex_def, expected=2*expected[type])
if res >= 0:
public_defines.append(('NPY_SIZEOF_COMPLEX_%s' % sym2def(type), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % complex_def)
for type in ('Py_intptr_t',):
res = config_cmd.check_type_size(type, headers=["Python.h"],
library_dirs=[pythonlib_dir()],
expected=expected[type])
if res >= 0:
private_defines.append(('SIZEOF_%s' % sym2def(type), '%d' % res))
public_defines.append(('NPY_SIZEOF_%s' % sym2def(type), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % type)
# We check declaration AND type because that's how distutils does it.
if config_cmd.check_decl('PY_LONG_LONG', headers=['Python.h']):
res = config_cmd.check_type_size('PY_LONG_LONG', headers=['Python.h'],
library_dirs=[pythonlib_dir()],
expected=expected['PY_LONG_LONG'])
if res >= 0:
private_defines.append(('SIZEOF_%s' % sym2def('PY_LONG_LONG'), '%d' % res))
public_defines.append(('NPY_SIZEOF_%s' % sym2def('PY_LONG_LONG'), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % 'PY_LONG_LONG')
res = config_cmd.check_type_size('long long',
expected=expected['long long'])
if res >= 0:
#private_defines.append(('SIZEOF_%s' % sym2def('long long'), '%d' % res))
public_defines.append(('NPY_SIZEOF_%s' % sym2def('long long'), '%d' % res))
else:
raise SystemError("Checking sizeof (%s) failed !" % 'long long')
if not config_cmd.check_decl('CHAR_BIT', headers=['Python.h']):
raise RuntimeError(
"Config wo CHAR_BIT is not supported"\
", please contact the maintainers")
return private_defines, public_defines
def check_mathlib(config_cmd):
# Testing the C math library
mathlibs = []
mathlibs_choices = [[],['m'],['cpml']]
mathlib = os.environ.get('MATHLIB')
if mathlib:
mathlibs_choices.insert(0,mathlib.split(','))
for libs in mathlibs_choices:
if config_cmd.check_func("exp", libraries=libs, decl=True, call=True):
mathlibs = libs
break
else:
raise EnvironmentError("math library missing; rerun "
"setup.py after setting the "
"MATHLIB env variable")
return mathlibs
def visibility_define(config):
"""Return the define value to use for NPY_VISIBILITY_HIDDEN (may be empty
string)."""
if config.check_compiler_gcc4():
return '__attribute__((visibility("hidden")))'
else:
return ''
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration,dot_join
from numpy.distutils.system_info import get_info, default_lib_dirs
config = Configuration('core',parent_package,top_path)
local_dir = config.local_path
codegen_dir = join(local_dir,'code_generators')
if is_released(config):
warnings.simplefilter('error', MismatchCAPIWarning)
# Check whether we have a mismatch between the set C API VERSION and the
# actual C API VERSION
check_api_version(C_API_VERSION, codegen_dir)
generate_umath_py = join(codegen_dir,'generate_umath.py')
n = dot_join(config.name,'generate_umath')
generate_umath = imp.load_module('_'.join(n.split('.')),
open(generate_umath_py,'U'),generate_umath_py,
('.py','U',1))
header_dir = 'include/numpy' # this is relative to config.path_in_package
cocache = CallOnceOnly()
def generate_config_h(ext, build_dir):
target = join(build_dir,header_dir,'config.h')
d = os.path.dirname(target)
if not os.path.exists(d):
os.makedirs(d)
if newer(__file__,target):
config_cmd = config.get_config_cmd()
log.info('Generating %s',target)
# Check sizeof
moredefs, ignored = cocache.check_types(config_cmd, ext, build_dir)
# Check math library and C99 math funcs availability
mathlibs = check_mathlib(config_cmd)
moredefs.append(('MATHLIB',','.join(mathlibs)))
check_math_capabilities(config_cmd, moredefs, mathlibs)
moredefs.extend(cocache.check_ieee_macros(config_cmd)[0])
moredefs.extend(cocache.check_complex(config_cmd, mathlibs)[0])
# Signal check
if is_npy_no_signal():
moredefs.append('__NPY_PRIVATE_NO_SIGNAL')
# Windows checks
if sys.platform=='win32' or os.name=='nt':
win32_checks(moredefs)
# Inline check
inline = config_cmd.check_inline()
# Check whether we need our own wide character support
if not config_cmd.check_decl('Py_UNICODE_WIDE', headers=['Python.h']):
PYTHON_HAS_UNICODE_WIDE = True
else:
PYTHON_HAS_UNICODE_WIDE = False
if ENABLE_SEPARATE_COMPILATION:
moredefs.append(('ENABLE_SEPARATE_COMPILATION', 1))
# Get long double representation
if sys.platform != 'darwin':
rep = check_long_double_representation(config_cmd)
if rep in ['INTEL_EXTENDED_12_BYTES_LE',
'INTEL_EXTENDED_16_BYTES_LE',
'IEEE_QUAD_LE', 'IEEE_QUAD_BE',
'IEEE_DOUBLE_LE', 'IEEE_DOUBLE_BE',
'DOUBLE_DOUBLE_BE']:
moredefs.append(('HAVE_LDOUBLE_%s' % rep, 1))
else:
raise ValueError("Unrecognized long double format: %s" % rep)
# Generate the config.h file from moredefs
target_f = open(target, 'w')
for d in moredefs:
if isinstance(d,str):
target_f.write('#define %s\n' % (d))
else:
target_f.write('#define %s %s\n' % (d[0],d[1]))
# define inline to our keyword, or nothing
target_f.write('#ifndef __cplusplus\n')
if inline == 'inline':
target_f.write('/* #undef inline */\n')
else:
target_f.write('#define inline %s\n' % inline)
target_f.write('#endif\n')
# add the guard to make sure config.h is never included directly,
# but always through npy_config.h
target_f.write("""
#ifndef _NPY_NPY_CONFIG_H_
#error config.h should never be included directly, include npy_config.h instead
#endif
""")
target_f.close()
print 'File:',target
target_f = open(target)
print target_f.read()
target_f.close()
print 'EOF'
else:
mathlibs = []
target_f = open(target)
for line in target_f.readlines():
s = '#define MATHLIB'
if line.startswith(s):
value = line[len(s):].strip()
if value:
mathlibs.extend(value.split(','))
target_f.close()
# Ugly: this can be called within a library and not an extension,
# in which case there is no libraries attributes (and none is
# needed).
if hasattr(ext, 'libraries'):
ext.libraries.extend(mathlibs)
incl_dir = os.path.dirname(target)
if incl_dir not in config.numpy_include_dirs:
config.numpy_include_dirs.append(incl_dir)
return target
def generate_numpyconfig_h(ext, build_dir):
"""Depends on config.h: generate_config_h has to be called before !"""
target = join(build_dir,header_dir,'_numpyconfig.h')
d = os.path.dirname(target)
if not os.path.exists(d):
os.makedirs(d)
if newer(__file__,target):
config_cmd = config.get_config_cmd()
log.info('Generating %s',target)
# Check sizeof
ignored, moredefs = cocache.check_types(config_cmd, ext, build_dir)
if is_npy_no_signal():
moredefs.append(('NPY_NO_SIGNAL', 1))
if is_npy_no_smp():
moredefs.append(('NPY_NO_SMP', 1))
else:
moredefs.append(('NPY_NO_SMP', 0))
mathlibs = check_mathlib(config_cmd)
moredefs.extend(cocache.check_ieee_macros(config_cmd)[1])
moredefs.extend(cocache.check_complex(config_cmd, mathlibs)[1])
if ENABLE_SEPARATE_COMPILATION:
moredefs.append(('NPY_ENABLE_SEPARATE_COMPILATION', 1))
# Check wether we can use inttypes (C99) formats
if config_cmd.check_decl('PRIdPTR', headers = ['inttypes.h']):
moredefs.append(('NPY_USE_C99_FORMATS', 1))
# visibility check
hidden_visibility = visibility_define(config_cmd)
moredefs.append(('NPY_VISIBILITY_HIDDEN', hidden_visibility))
# Add the C API/ABI versions
moredefs.append(('NPY_ABI_VERSION', '0x%.8X' % C_ABI_VERSION))
moredefs.append(('NPY_API_VERSION', '0x%.8X' % C_API_VERSION))
# Add moredefs to header
target_f = open(target, 'w')
for d in moredefs:
if isinstance(d,str):
target_f.write('#define %s\n' % (d))
else:
target_f.write('#define %s %s\n' % (d[0],d[1]))
# Define __STDC_FORMAT_MACROS
target_f.write("""
#ifndef __STDC_FORMAT_MACROS
#define __STDC_FORMAT_MACROS 1
#endif
""")
target_f.close()
# Dump the numpyconfig.h header to stdout
print 'File: %s' % target
target_f = open(target)
print target_f.read()
target_f.close()
print 'EOF'
config.add_data_files((header_dir, target))
return target
def generate_api_func(module_name):
def generate_api(ext, build_dir):
script = join(codegen_dir, module_name + '.py')
sys.path.insert(0, codegen_dir)
try:
m = __import__(module_name)
log.info('executing %s', script)
h_file, c_file, doc_file = m.generate_api(os.path.join(build_dir, header_dir))
finally:
del sys.path[0]
config.add_data_files((header_dir, h_file),
(header_dir, doc_file))
return (h_file,)
return generate_api
generate_numpy_api = generate_api_func('generate_numpy_api')
generate_ufunc_api = generate_api_func('generate_ufunc_api')
config.add_include_dirs(join(local_dir, "src", "private"))
config.add_include_dirs(join(local_dir, "src"))
config.add_include_dirs(join(local_dir))
# Multiarray version: this function is needed to build foo.c from foo.c.src
# when foo.c is included in another file and as such not in the src
# argument of build_ext command
def generate_multiarray_templated_sources(ext, build_dir):
from numpy.distutils.misc_util import get_cmd
subpath = join('src', 'multiarray')
sources = [join(local_dir, subpath, 'scalartypes.c.src'),
join(local_dir, subpath, 'arraytypes.c.src')]
# numpy.distutils generate .c from .c.src in weird directories, we have
# to add them there as they depend on the build_dir
config.add_include_dirs(join(build_dir, subpath))
cmd = get_cmd('build_src')
cmd.ensure_finalized()
cmd.template_sources(sources, ext)
# umath version: this function is needed to build foo.c from foo.c.src
# when foo.c is included in another file and as such not in the src
# argument of build_ext command
def generate_umath_templated_sources(ext, build_dir):
from numpy.distutils.misc_util import get_cmd
subpath = join('src', 'umath')
sources = [join(local_dir, subpath, 'loops.c.src'),
join(local_dir, subpath, 'umathmodule.c.src')]
# numpy.distutils generate .c from .c.src in weird directories, we have
# to add them there as they depend on the build_dir
config.add_include_dirs(join(build_dir, subpath))
cmd = get_cmd('build_src')
cmd.ensure_finalized()
cmd.template_sources(sources, ext)
def generate_umath_c(ext,build_dir):
target = join(build_dir,header_dir,'__umath_generated.c')
dir = os.path.dirname(target)
if not os.path.exists(dir):
os.makedirs(dir)
script = generate_umath_py
if newer(script,target):
f = open(target,'w')
f.write(generate_umath.make_code(generate_umath.defdict,
generate_umath.__file__))
f.close()
return []
config.add_data_files('include/numpy/*.h')
config.add_include_dirs(join('src', 'npymath'))
config.add_include_dirs(join('src', 'multiarray'))
config.add_include_dirs(join('src', 'umath'))
config.numpy_include_dirs.extend(config.paths('include'))
deps = [join('src','npymath','_signbit.c'),
join('include','numpy','*object.h'),
'include/numpy/fenv/fenv.c',
'include/numpy/fenv/fenv.h',
join(codegen_dir,'genapi.py'),
]
# Don't install fenv unless we need them.
if sys.platform == 'cygwin':
config.add_data_dir('include/numpy/fenv')
config.add_extension('_sort',
sources=[join('src','_sortmodule.c.src'),
generate_config_h,
generate_numpyconfig_h,
generate_numpy_api,
],
)
# npymath needs the config.h and numpyconfig.h files to be generated, but
# build_clib cannot handle generate_config_h and generate_numpyconfig_h
# (don't ask). Because clib are generated before extensions, we have to
# explicitly add an extension which has generate_config_h and
# generate_numpyconfig_h as sources *before* adding npymath.
subst_dict = dict([("sep", os.path.sep), ("pkgname", "numpy.core")])
def get_mathlib_info(*args):
# Another ugly hack: the mathlib info is known once build_src is run,
# but we cannot use add_installed_pkg_config here either, so we only
# updated the substition dictionary during npymath build
config_cmd = config.get_config_cmd()
# Check that the toolchain works, to fail early if it doesn't
# (avoid late errors with MATHLIB which are confusing if the
# compiler does not work).
st = config_cmd.try_link('int main(void) { return 0;}')
if not st:
raise RuntimeError("Broken toolchain: cannot link a simple C program")
mlibs = check_mathlib(config_cmd)
posix_mlib = ' '.join(['-l%s' % l for l in mlibs])
msvc_mlib = ' '.join(['%s.lib' % l for l in mlibs])
subst_dict["posix_mathlib"] = posix_mlib
subst_dict["msvc_mathlib"] = msvc_mlib
config.add_installed_library('npymath',
sources=[join('src', 'npymath', 'npy_math.c.src'),
join('src', 'npymath', 'ieee754.c.src'),
join('src', 'npymath', 'npy_math_complex.c.src'),
get_mathlib_info],
install_dir='lib')
config.add_npy_pkg_config("npymath.ini.in", "lib/npy-pkg-config",
subst_dict)
config.add_npy_pkg_config("mlib.ini.in", "lib/npy-pkg-config",
subst_dict)
multiarray_deps = [
join('src', 'multiarray', 'arrayobject.h'),
join('src', 'multiarray', 'arraytypes.h'),
join('src', 'multiarray', 'buffer.h'),
join('src', 'multiarray', 'calculation.h'),
join('src', 'multiarray', 'common.h'),
join('src', 'multiarray', 'convert_datatype.h'),
join('src', 'multiarray', 'convert.h'),
join('src', 'multiarray', 'conversion_utils.h'),
join('src', 'multiarray', 'ctors.h'),
join('src', 'multiarray', 'descriptor.h'),
join('src', 'multiarray', 'getset.h'),
join('src', 'multiarray', 'hashdescr.h'),
join('src', 'multiarray', 'iterators.h'),
join('src', 'multiarray', 'mapping.h'),
join('src', 'multiarray', 'methods.h'),
join('src', 'multiarray', 'multiarraymodule.h'),
join('src', 'multiarray', 'number.h'),
join('src', 'multiarray', 'numpyos.h'),
join('src', 'multiarray', 'refcount.h'),
join('src', 'multiarray', 'scalartypes.h'),
join('src', 'multiarray', 'sequence.h'),
join('src', 'multiarray', 'shape.h'),
join('src', 'multiarray', 'ucsnarrow.h'),
join('src', 'multiarray', 'usertypes.h')]
multiarray_src = [join('src', 'multiarray', 'multiarraymodule.c'),
join('src', 'multiarray', 'hashdescr.c'),
join('src', 'multiarray', 'arrayobject.c'),
join('src', 'multiarray', 'buffer.c'),
join('src', 'multiarray', 'numpyos.c'),
join('src', 'multiarray', 'conversion_utils.c'),
join('src', 'multiarray', 'flagsobject.c'),
join('src', 'multiarray', 'descriptor.c'),
join('src', 'multiarray', 'iterators.c'),
join('src', 'multiarray', 'mapping.c'),
join('src', 'multiarray', 'number.c'),
join('src', 'multiarray', 'getset.c'),
join('src', 'multiarray', 'sequence.c'),
join('src', 'multiarray', 'methods.c'),
join('src', 'multiarray', 'ctors.c'),
join('src', 'multiarray', 'convert_datatype.c'),
join('src', 'multiarray', 'convert.c'),
join('src', 'multiarray', 'shape.c'),
join('src', 'multiarray', 'item_selection.c'),
join('src', 'multiarray', 'calculation.c'),
join('src', 'multiarray', 'common.c'),
join('src', 'multiarray', 'usertypes.c'),
join('src', 'multiarray', 'scalarapi.c'),
join('src', 'multiarray', 'refcount.c'),
join('src', 'multiarray', 'arraytypes.c.src'),
join('src', 'multiarray', 'scalartypes.c.src')]
if PYTHON_HAS_UNICODE_WIDE:
multiarray_src.append(join('src', 'multiarray', 'ucsnarrow.c'))
umath_src = [join('src', 'umath', 'umathmodule.c.src'),
join('src', 'umath', 'funcs.inc.src'),
join('src', 'umath', 'loops.c.src'),
join('src', 'umath', 'ufunc_object.c')]
umath_deps = [generate_umath_py,
join(codegen_dir,'generate_ufunc_api.py')]
if not ENABLE_SEPARATE_COMPILATION:
multiarray_deps.extend(multiarray_src)
multiarray_src = [join('src', 'multiarray', 'multiarraymodule_onefile.c')]
multiarray_src.append(generate_multiarray_templated_sources)
umath_deps.extend(umath_src)
umath_src = [join('src', 'umath', 'umathmodule_onefile.c')]
umath_src.append(generate_umath_templated_sources)
umath_src.append(join('src', 'umath', 'funcs.inc.src'))
config.add_extension('multiarray',
sources = multiarray_src +
[generate_config_h,
generate_numpyconfig_h,
generate_numpy_api,
join(codegen_dir,'generate_numpy_api.py'),
join('*.py')],
depends = deps + multiarray_deps,
libraries=['npymath'])
config.add_extension('umath',
sources = [generate_config_h,
generate_numpyconfig_h,
generate_umath_c,
generate_ufunc_api,
] + umath_src,
depends = deps + umath_deps,
libraries=['npymath'],
)
config.add_extension('scalarmath',
sources=[join('src','scalarmathmodule.c.src'),
generate_config_h,
generate_numpyconfig_h,
generate_numpy_api,
generate_ufunc_api],
)
# Configure blasdot
blas_info = get_info('blas_opt',0)
#blas_info = {}
def get_dotblas_sources(ext, build_dir):
if blas_info:
#if ('NO_ATLAS_INFO',1) in blas_info.get('define_macros',[]):
# return None # dotblas needs ATLAS, Fortran compiled blas will not be sufficient.
return ext.depends[:1]
return None # no extension module will be built
config.add_extension('_dotblas',
sources = [get_dotblas_sources],
depends=[join('blasdot','_dotblas.c'),
join('blasdot','cblas.h'),
],
include_dirs = ['blasdot'],
extra_info = blas_info
)
config.add_extension('umath_tests',
sources = [join('src','umath', 'umath_tests.c.src')])
config.add_extension('multiarray_tests',
sources = [join('src', 'multiarray', 'multiarray_tests.c.src')])
config.add_data_dir('tests')
config.add_data_dir('tests/data')
config.make_svn_version_py()
return config
if __name__=='__main__':
from numpy.distutils.core import setup
setup(configuration=configuration)
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