/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h is in python-numpy 1:1.12.1-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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* DON'T INCLUDE THIS DIRECTLY.
*/
#ifndef NPY_NDARRAYOBJECT_H
#define NPY_NDARRAYOBJECT_H
#ifdef __cplusplus
#define CONFUSE_EMACS {
#define CONFUSE_EMACS2 }
extern "C" CONFUSE_EMACS
#undef CONFUSE_EMACS
#undef CONFUSE_EMACS2
/* ... otherwise a semi-smart identer (like emacs) tries to indent
everything when you're typing */
#endif
#include <Python.h>
#include "ndarraytypes.h"
/* Includes the "function" C-API -- these are all stored in a
list of pointers --- one for each file
The two lists are concatenated into one in multiarray.
They are available as import_array()
*/
#include "__multiarray_api.h"
/* C-API that requires previous API to be defined */
#define PyArray_DescrCheck(op) (((PyObject*)(op))->ob_type==&PyArrayDescr_Type)
#define PyArray_Check(op) PyObject_TypeCheck(op, &PyArray_Type)
#define PyArray_CheckExact(op) (((PyObject*)(op))->ob_type == &PyArray_Type)
#define PyArray_HasArrayInterfaceType(op, type, context, out) \
((((out)=PyArray_FromStructInterface(op)) != Py_NotImplemented) || \
(((out)=PyArray_FromInterface(op)) != Py_NotImplemented) || \
(((out)=PyArray_FromArrayAttr(op, type, context)) != \
Py_NotImplemented))
#define PyArray_HasArrayInterface(op, out) \
PyArray_HasArrayInterfaceType(op, NULL, NULL, out)
#define PyArray_IsZeroDim(op) (PyArray_Check(op) && \
(PyArray_NDIM((PyArrayObject *)op) == 0))
#define PyArray_IsScalar(obj, cls) \
(PyObject_TypeCheck(obj, &Py##cls##ArrType_Type))
#define PyArray_CheckScalar(m) (PyArray_IsScalar(m, Generic) || \
PyArray_IsZeroDim(m))
#if PY_MAJOR_VERSION >= 3
#define PyArray_IsPythonNumber(obj) \
(PyFloat_Check(obj) || PyComplex_Check(obj) || \
PyLong_Check(obj) || PyBool_Check(obj))
#define PyArray_IsIntegerScalar(obj) (PyLong_Check(obj) \
|| PyArray_IsScalar((obj), Integer))
#define PyArray_IsPythonScalar(obj) \
(PyArray_IsPythonNumber(obj) || PyBytes_Check(obj) || \
PyUnicode_Check(obj))
#else
#define PyArray_IsPythonNumber(obj) \
(PyInt_Check(obj) || PyFloat_Check(obj) || PyComplex_Check(obj) || \
PyLong_Check(obj) || PyBool_Check(obj))
#define PyArray_IsIntegerScalar(obj) (PyInt_Check(obj) \
|| PyLong_Check(obj) \
|| PyArray_IsScalar((obj), Integer))
#define PyArray_IsPythonScalar(obj) \
(PyArray_IsPythonNumber(obj) || PyString_Check(obj) || \
PyUnicode_Check(obj))
#endif
#define PyArray_IsAnyScalar(obj) \
(PyArray_IsScalar(obj, Generic) || PyArray_IsPythonScalar(obj))
#define PyArray_CheckAnyScalar(obj) (PyArray_IsPythonScalar(obj) || \
PyArray_CheckScalar(obj))
#define PyArray_GETCONTIGUOUS(m) (PyArray_ISCONTIGUOUS(m) ? \
Py_INCREF(m), (m) : \
(PyArrayObject *)(PyArray_Copy(m)))
#define PyArray_SAMESHAPE(a1,a2) ((PyArray_NDIM(a1) == PyArray_NDIM(a2)) && \
PyArray_CompareLists(PyArray_DIMS(a1), \
PyArray_DIMS(a2), \
PyArray_NDIM(a1)))
#define PyArray_SIZE(m) PyArray_MultiplyList(PyArray_DIMS(m), PyArray_NDIM(m))
#define PyArray_NBYTES(m) (PyArray_ITEMSIZE(m) * PyArray_SIZE(m))
#define PyArray_FROM_O(m) PyArray_FromAny(m, NULL, 0, 0, 0, NULL)
#define PyArray_FROM_OF(m,flags) PyArray_CheckFromAny(m, NULL, 0, 0, flags, \
NULL)
#define PyArray_FROM_OT(m,type) PyArray_FromAny(m, \
PyArray_DescrFromType(type), 0, 0, 0, NULL)
#define PyArray_FROM_OTF(m, type, flags) \
PyArray_FromAny(m, PyArray_DescrFromType(type), 0, 0, \
(((flags) & NPY_ARRAY_ENSURECOPY) ? \
((flags) | NPY_ARRAY_DEFAULT) : (flags)), NULL)
#define PyArray_FROMANY(m, type, min, max, flags) \
PyArray_FromAny(m, PyArray_DescrFromType(type), min, max, \
(((flags) & NPY_ARRAY_ENSURECOPY) ? \
(flags) | NPY_ARRAY_DEFAULT : (flags)), NULL)
#define PyArray_ZEROS(m, dims, type, is_f_order) \
PyArray_Zeros(m, dims, PyArray_DescrFromType(type), is_f_order)
#define PyArray_EMPTY(m, dims, type, is_f_order) \
PyArray_Empty(m, dims, PyArray_DescrFromType(type), is_f_order)
#define PyArray_FILLWBYTE(obj, val) memset(PyArray_DATA(obj), val, \
PyArray_NBYTES(obj))
#ifndef PYPY_VERSION
#define PyArray_REFCOUNT(obj) (((PyObject *)(obj))->ob_refcnt)
#define NPY_REFCOUNT PyArray_REFCOUNT
#endif
#define NPY_MAX_ELSIZE (2 * NPY_SIZEOF_LONGDOUBLE)
#define PyArray_ContiguousFromAny(op, type, min_depth, max_depth) \
PyArray_FromAny(op, PyArray_DescrFromType(type), min_depth, \
max_depth, NPY_ARRAY_DEFAULT, NULL)
#define PyArray_EquivArrTypes(a1, a2) \
PyArray_EquivTypes(PyArray_DESCR(a1), PyArray_DESCR(a2))
#define PyArray_EquivByteorders(b1, b2) \
(((b1) == (b2)) || (PyArray_ISNBO(b1) == PyArray_ISNBO(b2)))
#define PyArray_SimpleNew(nd, dims, typenum) \
PyArray_New(&PyArray_Type, nd, dims, typenum, NULL, NULL, 0, 0, NULL)
#define PyArray_SimpleNewFromData(nd, dims, typenum, data) \
PyArray_New(&PyArray_Type, nd, dims, typenum, NULL, \
data, 0, NPY_ARRAY_CARRAY, NULL)
#define PyArray_SimpleNewFromDescr(nd, dims, descr) \
PyArray_NewFromDescr(&PyArray_Type, descr, nd, dims, \
NULL, NULL, 0, NULL)
#define PyArray_ToScalar(data, arr) \
PyArray_Scalar(data, PyArray_DESCR(arr), (PyObject *)arr)
/* These might be faster without the dereferencing of obj
going on inside -- of course an optimizing compiler should
inline the constants inside a for loop making it a moot point
*/
#define PyArray_GETPTR1(obj, i) ((void *)(PyArray_BYTES(obj) + \
(i)*PyArray_STRIDES(obj)[0]))
#define PyArray_GETPTR2(obj, i, j) ((void *)(PyArray_BYTES(obj) + \
(i)*PyArray_STRIDES(obj)[0] + \
(j)*PyArray_STRIDES(obj)[1]))
#define PyArray_GETPTR3(obj, i, j, k) ((void *)(PyArray_BYTES(obj) + \
(i)*PyArray_STRIDES(obj)[0] + \
(j)*PyArray_STRIDES(obj)[1] + \
(k)*PyArray_STRIDES(obj)[2]))
#define PyArray_GETPTR4(obj, i, j, k, l) ((void *)(PyArray_BYTES(obj) + \
(i)*PyArray_STRIDES(obj)[0] + \
(j)*PyArray_STRIDES(obj)[1] + \
(k)*PyArray_STRIDES(obj)[2] + \
(l)*PyArray_STRIDES(obj)[3]))
static NPY_INLINE void
PyArray_XDECREF_ERR(PyArrayObject *arr)
{
if (arr != NULL) {
if (PyArray_FLAGS(arr) & NPY_ARRAY_UPDATEIFCOPY) {
PyArrayObject *base = (PyArrayObject *)PyArray_BASE(arr);
PyArray_ENABLEFLAGS(base, NPY_ARRAY_WRITEABLE);
PyArray_CLEARFLAGS(arr, NPY_ARRAY_UPDATEIFCOPY);
}
Py_DECREF(arr);
}
}
#define PyArray_DESCR_REPLACE(descr) do { \
PyArray_Descr *_new_; \
_new_ = PyArray_DescrNew(descr); \
Py_XDECREF(descr); \
descr = _new_; \
} while(0)
/* Copy should always return contiguous array */
#define PyArray_Copy(obj) PyArray_NewCopy(obj, NPY_CORDER)
#define PyArray_FromObject(op, type, min_depth, max_depth) \
PyArray_FromAny(op, PyArray_DescrFromType(type), min_depth, \
max_depth, NPY_ARRAY_BEHAVED | \
NPY_ARRAY_ENSUREARRAY, NULL)
#define PyArray_ContiguousFromObject(op, type, min_depth, max_depth) \
PyArray_FromAny(op, PyArray_DescrFromType(type), min_depth, \
max_depth, NPY_ARRAY_DEFAULT | \
NPY_ARRAY_ENSUREARRAY, NULL)
#define PyArray_CopyFromObject(op, type, min_depth, max_depth) \
PyArray_FromAny(op, PyArray_DescrFromType(type), min_depth, \
max_depth, NPY_ARRAY_ENSURECOPY | \
NPY_ARRAY_DEFAULT | \
NPY_ARRAY_ENSUREARRAY, NULL)
#define PyArray_Cast(mp, type_num) \
PyArray_CastToType(mp, PyArray_DescrFromType(type_num), 0)
#define PyArray_Take(ap, items, axis) \
PyArray_TakeFrom(ap, items, axis, NULL, NPY_RAISE)
#define PyArray_Put(ap, items, values) \
PyArray_PutTo(ap, items, values, NPY_RAISE)
/* Compatibility with old Numeric stuff -- don't use in new code */
#define PyArray_FromDimsAndData(nd, d, type, data) \
PyArray_FromDimsAndDataAndDescr(nd, d, PyArray_DescrFromType(type), \
data)
/*
Check to see if this key in the dictionary is the "title"
entry of the tuple (i.e. a duplicate dictionary entry in the fields
dict.
*/
#define NPY_TITLE_KEY(key, value) ((PyTuple_GET_SIZE((value))==3) && \
(PyTuple_GET_ITEM((value), 2) == (key)))
#define DEPRECATE(msg) PyErr_WarnEx(PyExc_DeprecationWarning,msg,1)
#define DEPRECATE_FUTUREWARNING(msg) PyErr_WarnEx(PyExc_FutureWarning,msg,1)
#ifdef __cplusplus
}
#endif
#endif /* NPY_NDARRAYOBJECT_H */
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