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Kirill Smelkov
cython
Commits
800d96eb
Commit
800d96eb
authored
Aug 05, 2009
by
Robert Bradshaw
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merge main branch to devel
parents
48358568
1c0020cb
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2
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470 additions
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40 deletions
+470
-40
Cython/Includes/numpy.pxd
Cython/Includes/numpy.pxd
+453
-40
tests/run/numpy_test.pyx
tests/run/numpy_test.pyx
+17
-0
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Cython/Includes/numpy.pxd
View file @
800d96eb
# NumPy static imports for Cython
#
# If any of the PyArray_* functions are called, import_array must be
# called first.
#
# This also defines backwards-compatability buffer acquisition
# code for use in Python 2.x (or Python <= 2.5 when NumPy starts
# implementing PEP-3118 directly).
#
# Because of laziness, the format string of the buffer is statically
# allocated. Increase the size if this is not enough, or submit a
# patch to do this properly.
#
# Author: Dag Sverre Seljebotn
#
DEF
_buffer_format_string_len
=
255
cimport
python_buffer
as
pybuf
cimport
stdlib
cimport
stdio
cdef
extern
from
"Python.h"
:
ctypedef
int
Py_intptr_t
...
...
@@ -21,42 +27,123 @@ cdef extern from "numpy/arrayobject.h":
ctypedef
Py_intptr_t
npy_intp
cdef
enum
NPY_TYPES
:
NPY_BOOL
,
NPY_BYTE
,
NPY_UBYTE
,
NPY_SHORT
,
NPY_USHORT
,
NPY_INT
,
NPY_UINT
,
NPY_LONG
,
NPY_ULONG
,
NPY_LONGLONG
,
NPY_ULONGLONG
,
NPY_FLOAT
,
NPY_DOUBLE
,
NPY_LONGDOUBLE
,
NPY_CFLOAT
,
NPY_CDOUBLE
,
NPY_CLONGDOUBLE
,
NPY_OBJECT
,
NPY_STRING
,
NPY_UNICODE
,
NPY_VOID
,
NPY_NTYPES
,
NPY_NOTYPE
,
NPY_CHAR
,
NPY_USERDEF
,
NPY_C_CONTIGUOUS
,
NPY_BOOL
NPY_BYTE
NPY_UBYTE
NPY_SHORT
NPY_USHORT
NPY_INT
NPY_UINT
NPY_LONG
NPY_ULONG
NPY_LONGLONG
NPY_ULONGLONG
NPY_FLOAT
NPY_DOUBLE
NPY_LONGDOUBLE
NPY_CFLOAT
NPY_CDOUBLE
NPY_CLONGDOUBLE
NPY_OBJECT
NPY_STRING
NPY_UNICODE
NPY_VOID
NPY_NTYPES
NPY_NOTYPE
enum
NPY_ORDER
:
NPY_ANYORDER
NPY_CORDER
NPY_FORTRANORDER
enum
NPY_CLIPMODE
:
NPY_CLIP
NPY_WRAP
NPY_RAISE
enum
NPY_SCALARKIND
:
NPY_NOSCALAR
,
NPY_BOOL_SCALAR
,
NPY_INTPOS_SCALAR
,
NPY_INTNEG_SCALAR
,
NPY_FLOAT_SCALAR
,
NPY_COMPLEX_SCALAR
,
NPY_OBJECT_SCALAR
enum
NPY_SORTKIND
:
NPY_QUICKSORT
NPY_HEAPSORT
NPY_MERGESORT
cdef
enum
requirements
:
NPY_C_CONTIGUOUS
NPY_F_CONTIGUOUS
NPY_CONTIGUOUS
NPY_FORTRAN
NPY_OWNDATA
NPY_FORCECAST
NPY_ENSURECOPY
NPY_ENSUREARRAY
NPY_ELEMENTSTRIDES
NPY_ALIGNED
NPY_NOTSWAPPED
NPY_WRITEABLE
NPY_UPDATEIFCOPY
NPY_ARR_HAS_DESCR
NPY_BEHAVED
NPY_BEHAVED_NS
NPY_CARRAY
NPY_CARRAY_RO
NPY_FARRAY
NPY_FARRAY_RO
NPY_DEFAULT
NPY_IN_ARRAY
NPY_OUT_ARRAY
NPY_INOUT_ARRAY
NPY_IN_FARRAY
NPY_OUT_FARRAY
NPY_INOUT_FARRAY
NPY_UPDATE_ALL
cdef
enum
:
NPY_MAXDIMS
npy_intp
NPY_MAX_ELSIZE
ctypedef
void
(
*
PyArray_VectorUnaryFunc
)(
void
*
,
void
*
,
npy_intp
,
void
*
,
void
*
)
ctypedef
class
numpy
.
dtype
[
object
PyArray_Descr
]:
# Use PyDataType_* macros when possible, however there are no macros
# for accessing some of the fields, so some are defined. Please
# ask on cython-dev if you need more.
cdef
int
type_num
cdef
int
itemsize
"elsize"
cdef
char
byteorder
cdef
object
fields
cdef
object
names
ctypedef
extern
class
numpy
.
flatiter
[
object
PyArrayIterObject
]:
# Use through macros
pass
ctypedef
extern
class
numpy
.
broadcast
[
object
PyArrayMultiIterObject
]:
# Use through macros
pass
ctypedef
class
numpy
.
ndarray
[
object
PyArrayObject
]:
cdef
__cythonbufferdefaults__
=
{
"mode"
:
"strided"
}
cdef
:
# Only taking a few of the most commonly used and stable fields.
# One should use PyArray_* macros instead to access the C fields.
char
*
data
int
ndim
"nd"
npy_intp
*
shape
"dimensions"
npy_intp
*
strides
int
flags
dtype
descr
# Note: This syntax (function definition in pxd files) is an
...
...
@@ -159,19 +246,9 @@ cdef extern from "numpy/arrayobject.h":
if
sizeof
(
npy_intp
)
!=
sizeof
(
Py_ssize_t
):
stdlib
.
free
(
info
.
strides
)
# info.shape was stored after info.strides in the same block
cdef
void
*
PyArray_DATA
(
ndarray
arr
)
cdef
int
PyArray_TYPE
(
ndarray
arr
)
cdef
int
PyArray_NDIM
(
ndarray
arr
)
cdef
int
PyArray_ISWRITEABLE
(
ndarray
arr
)
cdef
npy_intp
*
PyArray_STRIDES
(
ndarray
arr
)
cdef
npy_intp
*
PyArray_DIMS
(
ndarray
arr
)
cdef
int
PyArray_ITEMSIZE
(
ndarray
arr
)
cdef
int
PyArray_CHKFLAGS
(
ndarray
arr
,
int
flags
)
cdef
int
PyArray_HASFIELDS
(
ndarray
arr
)
c
def
int
PyDataType_HASFIELDS
(
dtype
obj
)
c
typedef
signed
char
npy_bool
ctypedef
signed
char
npy_byte
ctypedef
signed
short
npy_short
...
...
@@ -216,17 +293,353 @@ cdef extern from "numpy/arrayobject.h":
ctypedef
long
double
complex
npy_complex256
ctypedef
struct
npy_cfloat
:
float
real
float
imag
double
real
double
imag
ctypedef
struct
npy_cdouble
:
float
real
float
imag
double
real
double
imag
ctypedef
struct
npy_clongdouble
:
float
real
float
imag
double
real
double
imag
ctypedef
struct
PyArray_Dims
:
npy_intp
*
ptr
int
len
void
import_array
()
#
# Macros from ndarrayobject.h
#
bint
PyArray_CHKFLAGS
(
ndarray
m
,
int
flags
)
bint
PyArray_ISISCONTIGUOUS
(
ndarray
m
)
bint
PyArray_ISWRITEABLE
(
ndarray
m
)
bint
PyArray_ISALIGNED
(
ndarray
m
)
int
PyArray_NDIM
(
ndarray
)
bint
PyArray_ISONESEGMENT
(
ndarray
)
bint
PyArray_ISFORTRAN
(
ndarray
)
int
PyArray_FORTRANIF
(
ndarray
)
void
*
PyArray_DATA
(
ndarray
)
char
*
PyArray_BYTES
(
ndarray
)
npy_intp
*
PyArray_DIMS
(
ndarray
)
npy_intp
*
PyArray_STRIDES
(
ndarray
)
npy_intp
PyArray_DIM
(
ndarray
,
size_t
)
npy_intp
PyArray_STRIDE
(
ndarray
,
size_t
)
# object PyArray_BASE(ndarray) wrong refcount semantics
# dtype PyArray_DESCR(ndarray) wrong refcount semantics
int
PyArray_FLAGS
(
ndarray
)
npy_intp
PyArray_ITEMSIZE
(
ndarray
)
int
PyArray_TYPE
(
ndarray
arr
)
object
PyArray_GETITEM
(
ndarray
arr
,
void
*
itemptr
)
int
PyArray_SETITEM
(
ndarray
arr
,
void
*
itemptr
,
object
obj
)
bint
PyTypeNum_ISBOOL
(
int
)
bint
PyTypeNum_ISUNSIGNED
(
int
)
bint
PyTypeNum_ISSIGNED
(
int
)
bint
PyTypeNum_ISINTEGER
(
int
)
bint
PyTypeNum_ISFLOAT
(
int
)
bint
PyTypeNum_ISNUMBER
(
int
)
bint
PyTypeNum_ISSTRING
(
int
)
bint
PyTypeNum_ISCOMPLEX
(
int
)
bint
PyTypeNum_ISPYTHON
(
int
)
bint
PyTypeNum_ISFLEXIBLE
(
int
)
bint
PyTypeNum_ISUSERDEF
(
int
)
bint
PyTypeNum_ISEXTENDED
(
int
)
bint
PyTypeNum_ISOBJECT
(
int
)
bint
PyDataType_ISBOOL
(
dtype
)
bint
PyDataType_ISUNSIGNED
(
dtype
)
bint
PyDataType_ISSIGNED
(
dtype
)
bint
PyDataType_ISINTEGER
(
dtype
)
bint
PyDataType_ISFLOAT
(
dtype
)
bint
PyDataType_ISNUMBER
(
dtype
)
bint
PyDataType_ISSTRING
(
dtype
)
bint
PyDataType_ISCOMPLEX
(
dtype
)
bint
PyDataType_ISPYTHON
(
dtype
)
bint
PyDataType_ISFLEXIBLE
(
dtype
)
bint
PyDataType_ISUSERDEF
(
dtype
)
bint
PyDataType_ISEXTENDED
(
dtype
)
bint
PyDataType_ISOBJECT
(
dtype
)
bint
PyDataType_HASFIELDS
(
dtype
)
bint
PyArray_ISBOOL
(
ndarray
)
bint
PyArray_ISUNSIGNED
(
ndarray
)
bint
PyArray_ISSIGNED
(
ndarray
)
bint
PyArray_ISINTEGER
(
ndarray
)
bint
PyArray_ISFLOAT
(
ndarray
)
bint
PyArray_ISNUMBER
(
ndarray
)
bint
PyArray_ISSTRING
(
ndarray
)
bint
PyArray_ISCOMPLEX
(
ndarray
)
bint
PyArray_ISPYTHON
(
ndarray
)
bint
PyArray_ISFLEXIBLE
(
ndarray
)
bint
PyArray_ISUSERDEF
(
ndarray
)
bint
PyArray_ISEXTENDED
(
ndarray
)
bint
PyArray_ISOBJECT
(
ndarray
)
bint
PyArray_HASFIELDS
(
ndarray
)
bint
PyArray_ISVARIABLE
(
ndarray
)
bint
PyArray_SAFEALIGNEDCOPY
(
ndarray
)
bint
PyArray_ISNBO
(
ndarray
)
bint
PyArray_IsNativeByteOrder
(
ndarray
)
bint
PyArray_ISNOTSWAPPED
(
ndarray
)
bint
PyArray_ISBYTESWAPPED
(
ndarray
)
bint
PyArray_FLAGSWAP
(
ndarray
,
int
)
bint
PyArray_ISCARRAY
(
ndarray
)
bint
PyArray_ISCARRAY_RO
(
ndarray
)
bint
PyArray_ISFARRAY
(
ndarray
)
bint
PyArray_ISFARRAY_RO
(
ndarray
)
bint
PyArray_ISBEHAVED
(
ndarray
)
bint
PyArray_ISBEHAVED_RO
(
ndarray
)
bint
PyDataType_ISNOTSWAPPED
(
dtype
)
bint
PyDataType_ISBYTESWAPPED
(
dtype
)
bint
PyArray_DescrCheck
(
object
)
bint
PyArray_Check
(
object
)
bint
PyArray_CheckExact
(
object
)
# Cannot be supported due to out arg:
# bint PyArray_HasArrayInterfaceType(object, dtype, object, object&)
# bint PyArray_HasArrayInterface(op, out)
bint
PyArray_IsZeroDim
(
object
)
# Cannot be supported due to ## ## in macro:
# bint PyArray_IsScalar(object, verbatim work)
bint
PyArray_CheckScalar
(
object
)
bint
PyArray_IsPythonNumber
(
object
)
bint
PyArray_IsPythonScalar
(
object
)
bint
PyArray_IsAnyScalar
(
object
)
bint
PyArray_CheckAnyScalar
(
object
)
ndarray
PyArray_GETCONTIGUOUS
(
ndarray
)
bint
PyArray_SAMESHAPE
(
ndarray
,
ndarray
)
npy_intp
PyArray_SIZE
(
ndarray
)
npy_intp
PyArray_NBYTES
(
ndarray
)
object
PyArray_FROM_O
(
object
)
object
PyArray_FROM_OF
(
object
m
,
int
flags
)
bint
PyArray_FROM_OT
(
object
m
,
int
type
)
bint
PyArray_FROM_OTF
(
object
m
,
int
type
,
int
flags
)
object
PyArray_FROMANY
(
object
m
,
int
type
,
int
min
,
int
max
,
int
flags
)
bint
PyArray_ZEROS
(
ndarray
m
,
dims
,
int
type
,
int
fortran
)
object
PyArray_EMPTY
(
object
m
,
dims
,
int
type
,
int
fortran
)
void
PyArray_FILLWBYTE
(
object
,
int
val
)
npy_intp
PyArray_REFCOUNT
(
object
)
object
PyArray_ContiguousFromAny
(
op
,
int
,
int
min_depth
,
int
max_depth
)
unsigned
char
PyArray_EquivArrTypes
(
ndarray
a1
,
ndarray
a2
)
bint
PyArray_EquivByteorders
(
int
b1
,
int
b2
)
object
PyArray_SimpleNew
(
int
nd
,
npy_intp
*
dims
,
int
typenum
)
object
PyArray_SimpleNewFromData
(
int
nd
,
npy_intp
*
dims
,
int
typenum
,
void
*
data
)
#object PyArray_SimpleNewFromDescr(int nd, npy_intp* dims, dtype descr)
object
PyArray_ToScalar
(
void
*
data
,
ndarray
arr
)
void
*
PyArray_GETPTR1
(
ndarray
m
,
npy_intp
i
)
void
*
PyArray_GETPTR2
(
ndarray
m
,
npy_intp
i
,
npy_intp
j
)
void
*
PyArray_GETPTR3
(
ndarray
m
,
npy_intp
i
,
npy_intp
j
,
npy_intp
k
)
void
*
PyArray_GETPTR4
(
ndarray
m
,
npy_intp
i
,
npy_intp
j
,
npy_intp
k
,
npy_intp
l
)
void
PyArray_XDECREF_ERR
(
ndarray
)
# Cannot be supported due to out arg
# void PyArray_DESCR_REPLACE(descr)
object
PyArray_Copy
(
ndarray
)
object
PyArray_FromObject
(
object
op
,
int
type
,
int
min_depth
,
int
max_depth
)
object
PyArray_ContiguousFromObject
(
object
op
,
int
type
,
int
min_depth
,
int
max_depth
)
object
PyArray_CopyFromObject
(
object
op
,
int
type
,
int
min_depth
,
int
max_depth
)
object
PyArray_Cast
(
ndarray
mp
,
int
type_num
)
object
PyArray_Take
(
ndarray
ap
,
object
items
,
int
axis
)
object
PyArray_Put
(
ndarray
ap
,
object
items
,
object
values
)
# Functions from __multiarray_api.h
# Functions taking dtype and returning object/ndarray are disabled
# for now as they steal dtype references. I'm conservative and disable
# more than is probably needed until it can be checked further.
int
PyArray_SetNumericOps
(
object
)
object
PyArray_GetNumericOps
()
int
PyArray_INCREF
(
ndarray
)
int
PyArray_XDECREF
(
ndarray
)
void
PyArray_SetStringFunction
(
object
,
int
)
dtype
PyArray_DescrFromType
(
int
)
object
PyArray_TypeObjectFromType
(
int
)
char
*
PyArray_Zero
(
ndarray
)
char
*
PyArray_One
(
ndarray
)
#object PyArray_CastToType (ndarray, dtype, int)
int
PyArray_CastTo
(
ndarray
,
ndarray
)
int
PyArray_CastAnyTo
(
ndarray
,
ndarray
)
int
PyArray_CanCastSafely
(
int
,
int
)
npy_bool
PyArray_CanCastTo
(
dtype
,
dtype
)
int
PyArray_ObjectType
(
object
,
int
)
dtype
PyArray_DescrFromObject
(
object
,
dtype
)
#ndarray* PyArray_ConvertToCommonType (object, int *)
dtype
PyArray_DescrFromScalar
(
object
)
dtype
PyArray_DescrFromTypeObject
(
object
)
npy_intp
PyArray_Size
(
object
)
#object PyArray_Scalar (void *, dtype, object)
#object PyArray_FromScalar (object, dtype)
void
PyArray_ScalarAsCtype
(
object
,
void
*
)
#int PyArray_CastScalarToCtype (object, void *, dtype)
#int PyArray_CastScalarDirect (object, dtype, void *, int)
object
PyArray_ScalarFromObject
(
object
)
#PyArray_VectorUnaryFunc * PyArray_GetCastFunc (dtype, int)
object
PyArray_FromDims
(
int
,
int
*
,
int
)
#object PyArray_FromDimsAndDataAndDescr (int, int *, dtype, char *)
#object PyArray_FromAny (object, dtype, int, int, int, object)
object
PyArray_EnsureArray
(
object
)
object
PyArray_EnsureAnyArray
(
object
)
#object PyArray_FromFile (stdio.FILE *, dtype, npy_intp, char *)
#object PyArray_FromString (char *, npy_intp, dtype, npy_intp, char *)
#object PyArray_FromBuffer (object, dtype, npy_intp, npy_intp)
#object PyArray_FromIter (object, dtype, npy_intp)
object
PyArray_Return
(
ndarray
)
#object PyArray_GetField (ndarray, dtype, int)
#int PyArray_SetField (ndarray, dtype, int, object)
object
PyArray_Byteswap
(
ndarray
,
npy_bool
)
object
PyArray_Resize
(
ndarray
,
PyArray_Dims
*
,
int
,
NPY_ORDER
)
int
PyArray_MoveInto
(
ndarray
,
ndarray
)
int
PyArray_CopyInto
(
ndarray
,
ndarray
)
int
PyArray_CopyAnyInto
(
ndarray
,
ndarray
)
int
PyArray_CopyObject
(
ndarray
,
object
)
object
PyArray_NewCopy
(
ndarray
,
NPY_ORDER
)
object
PyArray_ToList
(
ndarray
)
object
PyArray_ToString
(
ndarray
,
NPY_ORDER
)
int
PyArray_ToFile
(
ndarray
,
stdio
.
FILE
*
,
char
*
,
char
*
)
int
PyArray_Dump
(
object
,
object
,
int
)
object
PyArray_Dumps
(
object
,
int
)
int
PyArray_ValidType
(
int
)
void
PyArray_UpdateFlags
(
ndarray
,
int
)
object
PyArray_New
(
type
,
int
,
npy_intp
*
,
int
,
npy_intp
*
,
void
*
,
int
,
int
,
object
)
#object PyArray_NewFromDescr (type, dtype, int, npy_intp *, npy_intp *, void *, int, object)
#dtype PyArray_DescrNew (dtype)
dtype
PyArray_DescrNewFromType
(
int
)
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
)
void
PyArray_FillObjectArray
(
ndarray
,
object
)
int
PyArray_FillWithScalar
(
ndarray
,
object
)
npy_bool
PyArray_CheckStrides
(
int
,
int
,
npy_intp
,
npy_intp
,
npy_intp
*
,
npy_intp
*
)
dtype
PyArray_DescrNewByteorder
(
dtype
,
char
)
object
PyArray_IterAllButAxis
(
object
,
int
*
)
#object PyArray_CheckFromAny (object, dtype, int, int, int, object)
#object PyArray_FromArray (ndarray, dtype, int)
object
PyArray_FromInterface
(
object
)
object
PyArray_FromStructInterface
(
object
)
#object PyArray_FromArrayAttr (object, dtype, object)
#NPY_SCALARKIND PyArray_ScalarKind (int, ndarray*)
int
PyArray_CanCoerceScalar
(
int
,
int
,
NPY_SCALARKIND
)
object
PyArray_NewFlagsObject
(
object
)
npy_bool
PyArray_CanCastScalar
(
type
,
type
)
#int PyArray_CompareUCS4 (npy_ucs4 *, npy_ucs4 *, register size_t)
int
PyArray_RemoveSmallest
(
broadcast
)
int
PyArray_ElementStrides
(
object
)
void
PyArray_Item_INCREF
(
char
*
,
dtype
)
void
PyArray_Item_XDECREF
(
char
*
,
dtype
)
object
PyArray_FieldNames
(
object
)
object
PyArray_Transpose
(
ndarray
,
PyArray_Dims
*
)
object
PyArray_TakeFrom
(
ndarray
,
object
,
int
,
ndarray
,
NPY_CLIPMODE
)
object
PyArray_PutTo
(
ndarray
,
object
,
object
,
NPY_CLIPMODE
)
object
PyArray_PutMask
(
ndarray
,
object
,
object
)
object
PyArray_Repeat
(
ndarray
,
object
,
int
)
object
PyArray_Choose
(
ndarray
,
object
,
ndarray
,
NPY_CLIPMODE
)
int
PyArray_Sort
(
ndarray
,
int
,
NPY_SORTKIND
)
object
PyArray_ArgSort
(
ndarray
,
int
,
NPY_SORTKIND
)
object
PyArray_SearchSorted
(
ndarray
,
object
,
NPY_SEARCHSIDE
)
object
PyArray_ArgMax
(
ndarray
,
int
,
ndarray
)
object
PyArray_ArgMin
(
ndarray
,
int
,
ndarray
)
object
PyArray_Reshape
(
ndarray
,
object
)
object
PyArray_Newshape
(
ndarray
,
PyArray_Dims
*
,
NPY_ORDER
)
object
PyArray_Squeeze
(
ndarray
)
#object PyArray_View (ndarray, dtype, type)
object
PyArray_SwapAxes
(
ndarray
,
int
,
int
)
object
PyArray_Max
(
ndarray
,
int
,
ndarray
)
object
PyArray_Min
(
ndarray
,
int
,
ndarray
)
object
PyArray_Ptp
(
ndarray
,
int
,
ndarray
)
object
PyArray_Mean
(
ndarray
,
int
,
int
,
ndarray
)
object
PyArray_Trace
(
ndarray
,
int
,
int
,
int
,
int
,
ndarray
)
object
PyArray_Diagonal
(
ndarray
,
int
,
int
,
int
)
object
PyArray_Clip
(
ndarray
,
object
,
object
,
ndarray
)
object
PyArray_Conjugate
(
ndarray
,
ndarray
)
object
PyArray_Nonzero
(
ndarray
)
object
PyArray_Std
(
ndarray
,
int
,
int
,
ndarray
,
int
)
object
PyArray_Sum
(
ndarray
,
int
,
int
,
ndarray
)
object
PyArray_CumSum
(
ndarray
,
int
,
int
,
ndarray
)
object
PyArray_Prod
(
ndarray
,
int
,
int
,
ndarray
)
object
PyArray_CumProd
(
ndarray
,
int
,
int
,
ndarray
)
object
PyArray_All
(
ndarray
,
int
,
ndarray
)
object
PyArray_Any
(
ndarray
,
int
,
ndarray
)
object
PyArray_Compress
(
ndarray
,
object
,
int
,
ndarray
)
object
PyArray_Flatten
(
ndarray
,
NPY_ORDER
)
object
PyArray_Ravel
(
ndarray
,
NPY_ORDER
)
npy_intp
PyArray_MultiplyList
(
npy_intp
*
,
int
)
int
PyArray_MultiplyIntList
(
int
*
,
int
)
void
*
PyArray_GetPtr
(
ndarray
,
npy_intp
*
)
int
PyArray_CompareLists
(
npy_intp
*
,
npy_intp
*
,
int
)
#int PyArray_AsCArray (object*, void *, npy_intp *, int, dtype)
#int PyArray_As1D (object*, char **, int *, int)
#int PyArray_As2D (object*, char ***, int *, int *, int)
int
PyArray_Free
(
object
,
void
*
)
#int PyArray_Converter (object, object*)
int
PyArray_IntpFromSequence
(
object
,
npy_intp
*
,
int
)
object
PyArray_Concatenate
(
object
,
int
)
object
PyArray_InnerProduct
(
object
,
object
)
object
PyArray_MatrixProduct
(
object
,
object
)
object
PyArray_CopyAndTranspose
(
object
)
object
PyArray_Correlate
(
object
,
object
,
int
)
int
PyArray_TypestrConvert
(
int
,
int
)
#int PyArray_DescrConverter (object, dtype*)
#int PyArray_DescrConverter2 (object, dtype*)
int
PyArray_IntpConverter
(
object
,
PyArray_Dims
*
)
#int PyArray_BufferConverter (object, chunk)
int
PyArray_AxisConverter
(
object
,
int
*
)
int
PyArray_BoolConverter
(
object
,
npy_bool
*
)
int
PyArray_ByteorderConverter
(
object
,
char
*
)
int
PyArray_OrderConverter
(
object
,
NPY_ORDER
*
)
unsigned
char
PyArray_EquivTypes
(
dtype
,
dtype
)
#object PyArray_Zeros (int, npy_intp *, dtype, int)
#object PyArray_Empty (int, npy_intp *, dtype, int)
object
PyArray_Where
(
object
,
object
,
object
)
object
PyArray_Arange
(
double
,
double
,
double
,
int
)
#object PyArray_ArangeObj (object, object, object, dtype)
int
PyArray_SortkindConverter
(
object
,
NPY_SORTKIND
*
)
object
PyArray_LexSort
(
object
,
int
)
object
PyArray_Round
(
ndarray
,
int
,
ndarray
)
unsigned
char
PyArray_EquivTypenums
(
int
,
int
)
int
PyArray_RegisterDataType
(
dtype
)
int
PyArray_RegisterCastFunc
(
dtype
,
int
,
PyArray_VectorUnaryFunc
*
)
int
PyArray_RegisterCanCast
(
dtype
,
int
,
NPY_SCALARKIND
)
#void PyArray_InitArrFuncs (PyArray_ArrFuncs *)
object
PyArray_IntTupleFromIntp
(
int
,
npy_intp
*
)
int
PyArray_TypeNumFromName
(
char
*
)
int
PyArray_ClipmodeConverter
(
object
,
NPY_CLIPMODE
*
)
#int PyArray_OutputConverter (object, ndarray*)
object
PyArray_BroadcastToShape
(
object
,
npy_intp
*
,
int
)
void
_PyArray_SigintHandler
(
int
)
void
*
_PyArray_GetSigintBuf
()
#int PyArray_DescrAlignConverter (object, dtype*)
#int PyArray_DescrAlignConverter2 (object, dtype*)
int
PyArray_SearchsideConverter
(
object
,
void
*
)
object
PyArray_CheckAxis
(
ndarray
,
int
*
,
int
)
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.
...
...
@@ -252,8 +665,8 @@ ctypedef npy_float64 float64_t
#ctypedef npy_float80 float80_t
#ctypedef npy_float128 float128_t
ctypedef
npy_complex64
complex64_t
ctypedef
npy_complex128
complex128_t
ctypedef
float
complex
complex64_t
ctypedef
double
complex
complex128_t
# The int types are mapped a bit surprising --
# numpy.int corresponds to 'l' and numpy.long to 'q'
...
...
tests/run/numpy_test.pyx
View file @
800d96eb
...
...
@@ -194,6 +194,11 @@ try:
Traceback (most recent call last):
...
ValueError: Item size of buffer (1 byte) does not match size of 'int' (4 bytes)
>>> test_complextypes()
1,1
1,1
8,16
"""
except
:
...
...
@@ -376,3 +381,15 @@ def test_unpacked_align(np.ndarray[UnpackedStruct] arr):
arr
[
0
].
a
=
22
arr
[
0
].
b
=
23
return
repr
(
arr
).
replace
(
'<'
,
'!'
).
replace
(
'>'
,
'!'
)
def
test_complextypes
():
cdef
np
.
complex64_t
x64
=
1
,
y64
=
1j
cdef
np
.
complex128_t
x128
=
1
,
y128
=
1j
x64
=
x64
+
y64
print
"%.0f,%.0f"
%
(
x64
.
real
,
x64
.
imag
)
x128
=
x128
+
y128
print
"%.0f,%.0f"
%
(
x128
.
real
,
x128
.
imag
)
print
"%d,%d"
%
(
sizeof
(
x64
),
sizeof
(
x128
))
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