DEF _buffer_format_string_len = 255
cimport python_buffer as pybuf
+from python_object cimport PyObject
cimport stdlib
cimport stdio
# Use through macros
pass
+ ctypedef struct PyArrayObject:
+ # For use in situations where ndarray can't replace PyArrayObject*,
+ # like PyArrayObject**.
+ pass
+
ctypedef class numpy.ndarray [object PyArrayObject]:
cdef __cythonbufferdefaults__ = {"mode": "strided"}
if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
- raise ValueError("ndarray is not C contiguous")
+ raise ValueError(u"ndarray is not C contiguous")
if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
- raise ValueError("ndarray is not Fortran contiguous")
+ raise ValueError(u"ndarray is not Fortran contiguous")
info.buf = PyArray_DATA(self)
info.ndim = ndim
t = descr.type_num
if ((descr.byteorder == '>' and little_endian) or
(descr.byteorder == '<' and not little_endian)):
- raise ValueError("Non-native byte order not supported")
+ raise ValueError(u"Non-native byte order not supported")
if t == NPY_BYTE: f = "b"
elif t == NPY_UBYTE: f = "B"
elif t == NPY_SHORT: f = "h"
elif t == NPY_CLONGDOUBLE: f = "Zg"
elif t == NPY_OBJECT: f = "O"
else:
- raise ValueError("unknown dtype code in numpy.pxd (%d)" % t)
+ raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
info.format = f
return
else:
object PyArray_Take(ndarray ap, object items, int axis)
object PyArray_Put(ndarray ap, object items, object values)
+ void PyArray_MultiIter_RESET(broadcast multi)
+ void PyArray_MultiIter_NEXT(broadcast multi)
+ void PyArray_MultiIter_GOTO(broadcast multi, npy_intp dest)
+ void PyArray_MultiIter_GOTO1D(broadcast multi, npy_intp ind)
+ void* PyArray_MultiIter_DATA(broadcast multi, npy_intp i)
+ void PyArray_MultiIter_NEXTi(broadcast multi, npy_intp i)
+ bint PyArray_MultiIter_NOTDONE(broadcast multi)
+
# Functions from __multiarray_api.h
# Functions taking dtype and returning object/ndarray are disabled
double PyArray_GetPriority (object, double)
object PyArray_IterNew (object)
object PyArray_MultiIterNew (int, ...)
+
int PyArray_PyIntAsInt (object)
npy_intp PyArray_PyIntAsIntp (object)
int PyArray_Broadcast (broadcast)
npy_intp PyArray_OverflowMultiplyList (npy_intp *, int)
int PyArray_CompareString (char *, char *, size_t)
-
-
+
# Typedefs that matches the runtime dtype objects in
# the numpy module.
ctypedef npy_cdouble complex_t
+cdef inline object PyArray_MultiIterNew1(a):
+ return PyArray_MultiIterNew(1, <void*>a)
+
+cdef inline object PyArray_MultiIterNew2(a, b):
+ return PyArray_MultiIterNew(2, <void*>a, <void*>b)
+
+cdef inline object PyArray_MultiIterNew3(a, b, c):
+ return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
+
+cdef inline object PyArray_MultiIterNew4(a, b, c, d):
+ return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
+
+cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
+ return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
+
cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL:
# Recursive utility function used in __getbuffer__ to get format
# string. The new location in the format string is returned.
child, new_offset = fields
if (end - f) - (new_offset - offset[0]) < 15:
- raise RuntimeError("Format string allocated too short, see comment in numpy.pxd")
+ raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
if ((child.byteorder == '>' and little_endian) or
(child.byteorder == '<' and not little_endian)):
- raise ValueError("Non-native byte order not supported")
+ raise ValueError(u"Non-native byte order not supported")
# One could encode it in the format string and have Cython
# complain instead, BUT: < and > in format strings also imply
# standardized sizes for datatypes, and we rely on native in
if not PyDataType_HASFIELDS(child):
t = child.type_num
if end - f < 5:
- raise RuntimeError("Format string allocated too short.")
+ raise RuntimeError(u"Format string allocated too short.")
# Until ticket #99 is fixed, use integers to avoid warnings
if t == NPY_BYTE: f[0] = 98 #"b"
elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
elif t == NPY_OBJECT: f[0] = 79 #"O"
else:
- raise ValueError("unknown dtype code in numpy.pxd (%d)" % t)
+ raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
f += 1
else:
# Cython ignores struct boundary information ("T{...}"),
# so don't output it
f = _util_dtypestring(child, f, end, offset)
return f
-
+
+
+#
+# ufunc API
+#
+
+cdef extern from "numpy/ufuncobject.h":
+
+ ctypedef void (*PyUFuncGenericFunction) (char **, npy_intp *, npy_intp *, void *)
+
+ ctypedef extern class numpy.ufunc [object PyUFuncObject]:
+ cdef:
+ int nin, nout, nargs
+ int identity
+ PyUFuncGenericFunction *functions
+ void **data
+ int ntypes
+ int check_return
+ char *name, *types
+ char *doc
+ void *ptr
+ PyObject *obj
+ PyObject *userloops
+
+ cdef enum:
+ PyUFunc_Zero
+ PyUFunc_One
+ PyUFunc_None
+ UFUNC_ERR_IGNORE
+ UFUNC_ERR_WARN
+ UFUNC_ERR_RAISE
+ UFUNC_ERR_CALL
+ UFUNC_ERR_PRINT
+ UFUNC_ERR_LOG
+ UFUNC_MASK_DIVIDEBYZERO
+ UFUNC_MASK_OVERFLOW
+ UFUNC_MASK_UNDERFLOW
+ UFUNC_MASK_INVALID
+ UFUNC_SHIFT_DIVIDEBYZERO
+ UFUNC_SHIFT_OVERFLOW
+ UFUNC_SHIFT_UNDERFLOW
+ UFUNC_SHIFT_INVALID
+ UFUNC_FPE_DIVIDEBYZERO
+ UFUNC_FPE_OVERFLOW
+ UFUNC_FPE_UNDERFLOW
+ UFUNC_FPE_INVALID
+ UFUNC_ERR_DEFAULT
+ UFUNC_ERR_DEFAULT2
+
+ object PyUFunc_FromFuncAndData(PyUFuncGenericFunction *,
+ void **, char *, int, int, int, int, char *, char *, int)
+ int PyUFunc_RegisterLoopForType(ufunc, int,
+ PyUFuncGenericFunction, int *, void *)
+ int PyUFunc_GenericFunction \
+ (ufunc, PyObject *, PyObject *, PyArrayObject **)
+ void PyUFunc_f_f_As_d_d \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_d_d \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_f_f \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_g_g \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_F_F_As_D_D \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_F_F \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_D_D \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_G_G \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_O_O \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_ff_f_As_dd_d \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_ff_f \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_dd_d \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_gg_g \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_FF_F_As_DD_D \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_DD_D \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_FF_F \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_GG_G \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_OO_O \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_O_O_method \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_OO_O_method \
+ (char **, npy_intp *, npy_intp *, void *)
+ void PyUFunc_On_Om \
+ (char **, npy_intp *, npy_intp *, void *)
+ int PyUFunc_GetPyValues \
+ (char *, int *, int *, PyObject **)
+ int PyUFunc_checkfperr \
+ (int, PyObject *, int *)
+ void PyUFunc_clearfperr()
+ int PyUFunc_getfperr()
+ int PyUFunc_handlefperr \
+ (int, PyObject *, int, int *)
+ int PyUFunc_ReplaceLoopBySignature \
+ (ufunc, PyUFuncGenericFunction, int *, PyUFuncGenericFunction *)
+ object PyUFunc_FromFuncAndDataAndSignature \
+ (PyUFuncGenericFunction *, void **, char *, int, int, int,
+ int, char *, char *, int, char *)
+
+
+
+ void import_ufunc()
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