/usr/lib64/python2.6/site-packages/numpy/core
Edit: /usr/lib64/python2.6/site-packages/numpy/core/generate_numpy_api.py (6444B)
import os
import genapi
from genapi import \
TypeApi, GlobalVarApi, FunctionApi, BoolValuesApi
import numpy_api
h_template = r"""
#ifdef _MULTIARRAYMODULE
typedef struct {
PyObject_HEAD
npy_bool obval;
} PyBoolScalarObject;
#ifdef NPY_ENABLE_SEPARATE_COMPILATION
extern NPY_NO_EXPORT PyTypeObject PyArrayMapIter_Type;
extern NPY_NO_EXPORT PyTypeObject PyArrayNeighborhoodIter_Type;
extern NPY_NO_EXPORT PyBoolScalarObject _PyArrayScalar_BoolValues[2];
#else
NPY_NO_EXPORT PyTypeObject PyArrayMapIter_Type;
NPY_NO_EXPORT PyTypeObject PyArrayNeighborhoodIter_Type;
NPY_NO_EXPORT PyBoolScalarObject _PyArrayScalar_BoolValues[2];
#endif
%s
#else
#if defined(PY_ARRAY_UNIQUE_SYMBOL)
#define PyArray_API PY_ARRAY_UNIQUE_SYMBOL
#endif
#if defined(NO_IMPORT) || defined(NO_IMPORT_ARRAY)
extern void **PyArray_API;
#else
#if defined(PY_ARRAY_UNIQUE_SYMBOL)
void **PyArray_API;
#else
static void **PyArray_API=NULL;
#endif
#endif
%s
#if !defined(NO_IMPORT_ARRAY) && !defined(NO_IMPORT)
static int
_import_array(void)
{
int st;
PyObject *numpy = PyImport_ImportModule("numpy.core.multiarray");
PyObject *c_api = NULL;
if (numpy == NULL) return -1;
c_api = PyObject_GetAttrString(numpy, "_ARRAY_API");
if (c_api == NULL) {Py_DECREF(numpy); return -1;}
if (PyCObject_Check(c_api)) {
PyArray_API = (void **)PyCObject_AsVoidPtr(c_api);
}
Py_DECREF(c_api);
Py_DECREF(numpy);
if (PyArray_API == NULL) return -1;
/* Perform runtime check of C API version */
if (NPY_VERSION != PyArray_GetNDArrayCVersion()) {
PyErr_Format(PyExc_RuntimeError, "module compiled against "\
"ABI version %%x but this version of numpy is %%x", \
(int) NPY_VERSION, (int) PyArray_GetNDArrayCVersion());
return -1;
}
if (NPY_FEATURE_VERSION > PyArray_GetNDArrayCFeatureVersion()) {
PyErr_Format(PyExc_RuntimeError, "module compiled against "\
"API version %%x but this version of numpy is %%x", \
(int) NPY_FEATURE_VERSION, (int) PyArray_GetNDArrayCFeatureVersion());
return -1;
}
/*
* Perform runtime check of endianness and check it matches the one set by
* the headers (npy_endian.h) as a safeguard
*/
st = PyArray_GetEndianness();
if (st == NPY_CPU_UNKNOWN_ENDIAN) {
PyErr_Format(PyExc_RuntimeError, "FATAL: module compiled as unknown endian");
return -1;
}
#if NPY_BYTE_ORDER ==NPY_BIG_ENDIAN
if (st != NPY_CPU_BIG) {
PyErr_Format(PyExc_RuntimeError, "FATAL: module compiled as "\
"big endian, but detected different endianness at runtime");
return -1;
}
#elif NPY_BYTE_ORDER == NPY_LITTLE_ENDIAN
if (st != NPY_CPU_LITTLE) {
PyErr_Format(PyExc_RuntimeError, "FATAL: module compiled as "\
"little endian, but detected different endianness at runtime");
return -1;
}
#endif
return 0;
}
#define import_array() {if (_import_array() < 0) {PyErr_Print(); PyErr_SetString(PyExc_ImportError, "numpy.core.multiarray failed to import"); return; } }
#define import_array1(ret) {if (_import_array() < 0) {PyErr_Print(); PyErr_SetString(PyExc_ImportError, "numpy.core.multiarray failed to import"); return ret; } }
#define import_array2(msg, ret) {if (_import_array() < 0) {PyErr_Print(); PyErr_SetString(PyExc_ImportError, msg); return ret; } }
#endif
#endif
"""
c_template = r"""
/* These pointers will be stored in the C-object for use in other
extension modules
*/
void *PyArray_API[] = {
%s
};
"""
c_api_header = """
===========
Numpy C-API
===========
"""
def generate_api(output_dir, force=False):
basename = 'multiarray_api'
h_file = os.path.join(output_dir, '__%s.h' % basename)
c_file = os.path.join(output_dir, '__%s.c' % basename)
d_file = os.path.join(output_dir, '%s.txt' % basename)
targets = (h_file, c_file, d_file)
sources = numpy_api.multiarray_api
if (not force and not genapi.should_rebuild(targets, [numpy_api.__file__, __file__])):
return targets
else:
do_generate_api(targets, sources)
return targets
def do_generate_api(targets, sources):
header_file = targets[0]
c_file = targets[1]
doc_file = targets[2]
global_vars = sources[0]
global_vars_types = sources[1]
scalar_bool_values = sources[2]
types_api = sources[3]
multiarray_funcs = sources[4]
# Remove global_vars_type: not a api dict
multiarray_api = sources[:1] + sources[2:]
module_list = []
extension_list = []
init_list = []
# Check multiarray api indexes
multiarray_api_index = genapi.merge_api_dicts(multiarray_api)
genapi.check_api_dict(multiarray_api_index)
numpyapi_list = genapi.get_api_functions('NUMPY_API',
multiarray_funcs)
ordered_funcs_api = genapi.order_dict(multiarray_funcs)
# Create dict name -> *Api instance
api_name = 'PyArray_API'
multiarray_api_dict = {}
for f in numpyapi_list:
name = f.name
index = multiarray_funcs[name]
multiarray_api_dict[f.name] = FunctionApi(f.name, index, f.return_type,
f.args, api_name)
for name, index in global_vars.items():
type = global_vars_types[name]
multiarray_api_dict[name] = GlobalVarApi(name, index, type, api_name)
for name, index in scalar_bool_values.items():
multiarray_api_dict[name] = BoolValuesApi(name, index, api_name)
for name, index in types_api.items():
multiarray_api_dict[name] = TypeApi(name, index, 'PyTypeObject', api_name)
assert len(multiarray_api_dict) == len(multiarray_api_index)
extension_list = []
for name, index in genapi.order_dict(multiarray_api_index):
api_item = multiarray_api_dict[name]
extension_list.append(api_item.define_from_array_api_string())
init_list.append(api_item.array_api_define())
module_list.append(api_item.internal_define())
# Write to header
fid = open(header_file, 'w')
s = h_template % ('\n'.join(module_list), '\n'.join(extension_list))
fid.write(s)
fid.close()
# Write to c-code
fid = open(c_file, 'w')
s = c_template % ',\n'.join(init_list)
fid.write(s)
fid.close()
# write to documentation
fid = open(doc_file, 'w')
fid.write(c_api_header)
for func in numpyapi_list:
fid.write(func.to_ReST())
fid.write('\n\n')
fid.close()
return targets