from __future__ import division, print_function import os import sys import pickle import copy import sysconfig import warnings import platform from os.path import join from numpy.distutils import log from distutils.dep_util import newer from distutils.sysconfig import get_config_var from numpy._build_utils.apple_accelerate import ( uses_accelerate_framework, get_sgemv_fix ) from numpy.compat import npy_load_module from setup_common import * # Set to True to enable relaxed strides checking. This (mostly) means # that `strides[dim]` is ignored if `shape[dim] == 1` when setting flags. NPY_RELAXED_STRIDES_CHECKING = (os.environ.get('NPY_RELAXED_STRIDES_CHECKING', "1") != "0") # Put NPY_RELAXED_STRIDES_DEBUG=1 in the environment if you want numpy to use a # bogus value for affected strides in order to help smoke out bad stride usage # when relaxed stride checking is enabled. NPY_RELAXED_STRIDES_DEBUG = (os.environ.get('NPY_RELAXED_STRIDES_DEBUG', "0") != "0") NPY_RELAXED_STRIDES_DEBUG = NPY_RELAXED_STRIDES_DEBUG and NPY_RELAXED_STRIDES_CHECKING # 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. # # Use pickle in all cases, as cPickle is gone in python3 and the difference # in time is only in build. -- Charles Harris, 2013-03-30 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 = pickle.dumps(out) else: out = copy.deepcopy(pickle.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 = pickle.dumps(out) else: out = copy.deepcopy(pickle.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 = pickle.dumps(out) else: out = copy.deepcopy(pickle.loads(self._check_complex)) return out 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).""" # 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. return 'NPY_NOSMP' in os.environ 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), 1) 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), 1)) 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 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) for h in OPTIONAL_HEADERS: if config.check_func("", decl=False, call=False, headers=[h]): moredefs.append((fname2def(h).replace(".", "_"), 1)) for tup in OPTIONAL_INTRINSICS: headers = None if len(tup) == 2: f, args, m = tup[0], tup[1], fname2def(tup[0]) elif len(tup) == 3: f, args, headers, m = tup[0], tup[1], [tup[2]], fname2def(tup[0]) else: f, args, headers, m = tup[0], tup[1], [tup[2]], fname2def(tup[3]) if config.check_func(f, decl=False, call=True, call_args=args, headers=headers): moredefs.append((m, 1)) for dec, fn in OPTIONAL_FUNCTION_ATTRIBUTES: if config.check_gcc_function_attribute(dec, fn): moredefs.append((fname2def(fn), 1)) for fn in OPTIONAL_VARIABLE_ATTRIBUTES: if config.check_gcc_variable_attribute(fn): m = fn.replace("(", "_").replace(")", "_") moredefs.append((fname2def(m), 1)) # C99 functions: float and long double versions check_funcs(C99_FUNCS_SINGLE) check_funcs(C99_FUNCS_EXTENDED) def check_complex(config, mathlibs): priv = [] pub = [] try: if os.uname()[0] == "Interix": warnings.warn("Disabling broken complex support. See #1365", stacklevel=2) return priv, pub except Exception: # os.uname not available on all platforms. blanket except ugly but safe pass # Check for complex support st = config.check_header('complex.h') if st: priv.append(('HAVE_COMPLEX_H', 1)) pub.append(('NPY_USE_C99_COMPLEX', 1)) 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_FUNCS] decl = dict([(f, True) for f in flist]) if not config.check_funcs_once(flist, call=decl, decl=decl, libraries=mathlibs): for f in flist: if config.check_func(f, call=True, decl=True, libraries=mathlibs): priv.append((fname2def(f), 1)) else: priv.extend([(fname2def(f), 1) for f in flist]) check_prec('') check_prec('f') check_prec('l') return priv, pub def check_ieee_macros(config): priv = [] pub = [] macros = [] def _add_decl(f): priv.append(fname2def("decl_%s" % f)) pub.append('NPY_%s' % fname2def("decl_%s" % f)) # 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"] for f in _macros: py_symbol = fname2def("decl_%s" % f) already_declared = config.check_decl(py_symbol, headers=["Python.h", "math.h"]) if already_declared: if config.check_macro_true(py_symbol, headers=["Python.h", "math.h"]): pub.append('NPY_%s' % fname2def("decl_%s" % f)) else: macros.append(f) # 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: _add_decl(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 = {'short': [2], 'int': [4], 'long': [8, 4], 'float': [4], 'double': [8], 'long double': [16, 12, 8], 'Py_intptr_t': [8, 4], 'PY_LONG_LONG': [8], 'long long': [8], 'off_t': [8, 4]} # Check we have the python header (-dev* packages on Linux) result = config_cmd.check_header('Python.h') if not result: python = 'python' if '__pypy__' in sys.builtin_module_names: python = 'pypy' raise SystemError( "Cannot compile 'Python.h'. Perhaps you need to " "install {0}-dev|{0}-devel.".format(python)) res = config_cmd.check_header("endian.h") if res: private_defines.append(('HAVE_ENDIAN_H', 1)) public_defines.append(('NPY_HAVE_ENDIAN_H', 1)) res = config_cmd.check_header("sys/endian.h") if res: private_defines.append(('HAVE_SYS_ENDIAN_H', 1)) public_defines.append(('NPY_HAVE_SYS_ENDIAN_H', 1)) # 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 * x for x in 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', 'off_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 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 = npy_load_module('_'.join(n.split('.')), 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) # C99 restrict keyword moredefs.append(('NPY_RESTRICT', config_cmd.check_restrict())) # Inline check inline = config_cmd.check_inline() # Use relaxed stride checking if NPY_RELAXED_STRIDES_CHECKING: moredefs.append(('NPY_RELAXED_STRIDES_CHECKING', 1)) # Use bogus stride debug aid when relaxed strides are enabled if NPY_RELAXED_STRIDES_DEBUG: moredefs.append(('NPY_RELAXED_STRIDES_DEBUG', 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', 'MOTOROLA_EXTENDED_12_BYTES_BE', 'IEEE_QUAD_LE', 'IEEE_QUAD_BE', 'IEEE_DOUBLE_LE', 'IEEE_DOUBLE_BE', 'DOUBLE_DOUBLE_BE', 'DOUBLE_DOUBLE_LE']: moredefs.append(('HAVE_LDOUBLE_%s' % rep, 1)) else: raise ValueError("Unrecognized long double format: %s" % rep) # Py3K check if sys.version_info[0] == 3: moredefs.append(('NPY_PY3K', 1)) # 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: 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 !""" # put private include directory in build_dir on search path # allows using code generation in headers headers config.add_include_dirs(join(build_dir, "src", "private")) config.add_include_dirs(join(build_dir, "src", "npymath")) 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 NPY_RELAXED_STRIDES_CHECKING: moredefs.append(('NPY_RELAXED_STRIDES_CHECKING', 1)) if NPY_RELAXED_STRIDES_DEBUG: moredefs.append(('NPY_RELAXED_STRIDES_DEBUG', 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)) 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.add_include_dirs(join('src', 'npysort')) config.add_define_macros([("NPY_INTERNAL_BUILD", "1")]) # this macro indicates that Numpy build is in process config.add_define_macros([("HAVE_NPY_CONFIG_H", "1")]) if sys.platform[:3] == "aix": config.add_define_macros([("_LARGE_FILES", None)]) else: config.add_define_macros([("_FILE_OFFSET_BITS", "64")]) config.add_define_macros([('_LARGEFILE_SOURCE', '1')]) config.add_define_macros([('_LARGEFILE64_SOURCE', '1')]) config.numpy_include_dirs.extend(config.paths('include')) deps = [join('src', 'npymath', '_signbit.c'), join('include', 'numpy', '*object.h'), join(codegen_dir, 'genapi.py'), ] ####################################################################### # dummy module # ####################################################################### # 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. config.add_extension('_dummy', sources=[join('src', 'dummymodule.c'), generate_config_h, generate_numpyconfig_h, generate_numpy_api] ) ####################################################################### # npymath library # ####################################################################### 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 # update 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 npymath_sources = [join('src', 'npymath', 'npy_math_internal.h.src'), join('src', 'npymath', 'npy_math.c'), join('src', 'npymath', 'ieee754.c.src'), join('src', 'npymath', 'npy_math_complex.c.src'), join('src', 'npymath', 'halffloat.c') ] # Must be true for CRT compilers but not MinGW/cygwin. See gh-9977. is_msvc = platform.system() == 'Windows' config.add_installed_library('npymath', sources=npymath_sources + [get_mathlib_info], install_dir='lib', build_info={ 'include_dirs' : [], # empty list required for creating npy_math_internal.h 'extra_compiler_args' : (['/GL-'] if is_msvc else []), }) 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) ####################################################################### # npysort library # ####################################################################### # This library is created for the build but it is not installed npysort_sources = [join('src', 'npysort', 'quicksort.c.src'), join('src', 'npysort', 'mergesort.c.src'), join('src', 'npysort', 'heapsort.c.src'), join('src', 'private', 'npy_partition.h.src'), join('src', 'npysort', 'selection.c.src'), join('src', 'private', 'npy_binsearch.h.src'), join('src', 'npysort', 'binsearch.c.src'), ] config.add_library('npysort', sources=npysort_sources, include_dirs=[]) ####################################################################### # multiarray module # ####################################################################### multiarray_deps = [ join('src', 'multiarray', 'arrayobject.h'), join('src', 'multiarray', 'arraytypes.h'), join('src', 'multiarray', 'array_assign.h'), join('src', 'multiarray', 'buffer.h'), join('src', 'multiarray', 'calculation.h'), join('src', 'multiarray', 'cblasfuncs.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', 'dragon4.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', 'nditer_impl.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', 'strfuncs.h'), join('src', 'multiarray', 'ucsnarrow.h'), join('src', 'multiarray', 'usertypes.h'), join('src', 'multiarray', 'vdot.h'), join('src', 'private', 'npy_config.h'), join('src', 'private', 'templ_common.h.src'), join('src', 'private', 'lowlevel_strided_loops.h'), join('src', 'private', 'mem_overlap.h'), join('src', 'private', 'npy_longdouble.h'), join('src', 'private', 'ufunc_override.h'), join('src', 'private', 'binop_override.h'), join('src', 'private', 'npy_extint128.h'), join('include', 'numpy', 'arrayobject.h'), join('include', 'numpy', '_neighborhood_iterator_imp.h'), join('include', 'numpy', 'npy_endian.h'), join('include', 'numpy', 'arrayscalars.h'), join('include', 'numpy', 'noprefix.h'), join('include', 'numpy', 'npy_interrupt.h'), join('include', 'numpy', 'npy_3kcompat.h'), join('include', 'numpy', 'npy_math.h'), join('include', 'numpy', 'halffloat.h'), join('include', 'numpy', 'npy_common.h'), join('include', 'numpy', 'npy_os.h'), join('include', 'numpy', 'utils.h'), join('include', 'numpy', 'ndarrayobject.h'), join('include', 'numpy', 'npy_cpu.h'), join('include', 'numpy', 'numpyconfig.h'), join('include', 'numpy', 'ndarraytypes.h'), join('include', 'numpy', 'npy_1_7_deprecated_api.h'), # add library sources as distuils does not consider libraries # dependencies ] + npysort_sources + npymath_sources multiarray_src = [ join('src', 'multiarray', 'alloc.c'), join('src', 'multiarray', 'arrayobject.c'), join('src', 'multiarray', 'arraytypes.c.src'), join('src', 'multiarray', 'array_assign.c'), join('src', 'multiarray', 'array_assign_scalar.c'), join('src', 'multiarray', 'array_assign_array.c'), join('src', 'multiarray', 'buffer.c'), join('src', 'multiarray', 'calculation.c'), join('src', 'multiarray', 'compiled_base.c'), join('src', 'multiarray', 'common.c'), join('src', 'multiarray', 'convert.c'), join('src', 'multiarray', 'convert_datatype.c'), join('src', 'multiarray', 'conversion_utils.c'), join('src', 'multiarray', 'ctors.c'), join('src', 'multiarray', 'datetime.c'), join('src', 'multiarray', 'datetime_strings.c'), join('src', 'multiarray', 'datetime_busday.c'), join('src', 'multiarray', 'datetime_busdaycal.c'), join('src', 'multiarray', 'descriptor.c'), join('src', 'multiarray', 'dragon4.c'), join('src', 'multiarray', 'dtype_transfer.c'), join('src', 'multiarray', 'einsum.c.src'), join('src', 'multiarray', 'flagsobject.c'), join('src', 'multiarray', 'getset.c'), join('src', 'multiarray', 'hashdescr.c'), join('src', 'multiarray', 'item_selection.c'), join('src', 'multiarray', 'iterators.c'), join('src', 'multiarray', 'lowlevel_strided_loops.c.src'), join('src', 'multiarray', 'mapping.c'), join('src', 'multiarray', 'methods.c'), join('src', 'multiarray', 'multiarraymodule.c'), join('src', 'multiarray', 'nditer_templ.c.src'), join('src', 'multiarray', 'nditer_api.c'), join('src', 'multiarray', 'nditer_constr.c'), join('src', 'multiarray', 'nditer_pywrap.c'), join('src', 'multiarray', 'number.c'), join('src', 'multiarray', 'numpyos.c'), join('src', 'multiarray', 'refcount.c'), join('src', 'multiarray', 'sequence.c'), join('src', 'multiarray', 'shape.c'), join('src', 'multiarray', 'scalarapi.c'), join('src', 'multiarray', 'scalartypes.c.src'), join('src', 'multiarray', 'strfuncs.c'), join('src', 'multiarray', 'temp_elide.c'), join('src', 'multiarray', 'usertypes.c'), join('src', 'multiarray', 'ucsnarrow.c'), join('src', 'multiarray', 'vdot.c'), join('src', 'private', 'templ_common.h.src'), join('src', 'private', 'mem_overlap.c'), join('src', 'private', 'npy_longdouble.c'), join('src', 'private', 'ufunc_override.c'), ] blas_info = get_info('blas_opt', 0) if blas_info and ('HAVE_CBLAS', None) in blas_info.get('define_macros', []): extra_info = blas_info # These files are also in MANIFEST.in so that they are always in # the source distribution independently of HAVE_CBLAS. multiarray_src.extend([join('src', 'multiarray', 'cblasfuncs.c'), join('src', 'multiarray', 'python_xerbla.c'), ]) if uses_accelerate_framework(blas_info): multiarray_src.extend(get_sgemv_fix()) else: extra_info = {} 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', 'npysort'], extra_info=extra_info) ####################################################################### # umath module # ####################################################################### 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 [] umath_src = [ join('src', 'umath', 'umathmodule.c'), join('src', 'umath', 'reduction.c'), join('src', 'umath', 'funcs.inc.src'), join('src', 'umath', 'simd.inc.src'), join('src', 'umath', 'loops.h.src'), join('src', 'umath', 'loops.c.src'), join('src', 'umath', 'ufunc_object.c'), join('src', 'umath', 'extobj.c'), join('src', 'umath', 'scalarmath.c.src'), join('src', 'umath', 'ufunc_type_resolution.c'), join('src', 'umath', 'override.c'), join('src', 'private', 'mem_overlap.c'), join('src', 'private', 'npy_longdouble.c'), join('src', 'private', 'ufunc_override.c')] umath_deps = [ generate_umath_py, join('include', 'numpy', 'npy_math.h'), join('include', 'numpy', 'halffloat.h'), join('src', 'multiarray', 'common.h'), join('src', 'private', 'templ_common.h.src'), join('src', 'umath', 'simd.inc.src'), join('src', 'umath', 'override.h'), join(codegen_dir, 'generate_ufunc_api.py'), join('src', 'private', 'lowlevel_strided_loops.h'), join('src', 'private', 'mem_overlap.h'), join('src', 'private', 'npy_longdouble.h'), join('src', 'private', 'ufunc_override.h'), join('src', 'private', 'binop_override.h')] + npymath_sources config.add_extension('umath', sources=umath_src + [generate_config_h, generate_numpyconfig_h, generate_umath_c, generate_ufunc_api], depends=deps + umath_deps, libraries=['npymath'], ) ####################################################################### # umath_tests module # ####################################################################### config.add_extension('umath_tests', sources=[join('src', 'umath', 'umath_tests.c.src')]) ####################################################################### # custom rational dtype module # ####################################################################### config.add_extension('test_rational', sources=[join('src', 'umath', 'test_rational.c.src')]) ####################################################################### # struct_ufunc_test module # ####################################################################### config.add_extension('struct_ufunc_test', sources=[join('src', 'umath', 'struct_ufunc_test.c.src')]) ####################################################################### # multiarray_tests module # ####################################################################### config.add_extension('multiarray_tests', sources=[join('src', 'multiarray', 'multiarray_tests.c.src'), join('src', 'private', 'mem_overlap.c')], depends=[join('src', 'private', 'mem_overlap.h'), join('src', 'private', 'npy_extint128.h')], libraries=['npymath']) ####################################################################### # operand_flag_tests module # ####################################################################### config.add_extension('operand_flag_tests', sources=[join('src', 'umath', 'operand_flag_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)