===========
NumPy C-API
===========
::
unsigned int
PyArray_GetNDArrayCVersion(void )
Included at the very first so not auto-grabbed and thus not labeled.
::
int
PyArray_SetNumericOps(PyObject *dict)
Set internal structure with number functions that all arrays will use
::
PyObject *
PyArray_GetNumericOps(void )
Get dictionary showing number functions that all arrays will use
::
int
PyArray_INCREF(PyArrayObject *mp)
For object arrays, increment all internal references.
::
int
PyArray_XDECREF(PyArrayObject *mp)
Decrement all internal references for object arrays.
(or arrays with object fields)
::
void
PyArray_SetStringFunction(PyObject *op, int repr)
Set the array print function to be a Python function.
::
PyArray_Descr *
PyArray_DescrFromType(int type)
Get the PyArray_Descr structure for a type.
::
PyObject *
PyArray_TypeObjectFromType(int type)
Get a typeobject from a type-number -- can return NULL.
New reference
::
char *
PyArray_Zero(PyArrayObject *arr)
Get pointer to zero of correct type for array.
::
char *
PyArray_One(PyArrayObject *arr)
Get pointer to one of correct type for array
::
PyObject *
PyArray_CastToType(PyArrayObject *arr, PyArray_Descr *dtype, int
is_f_order)
For backward compatibility
Cast an array using typecode structure.
steals reference to dtype --- cannot be NULL
This function always makes a copy of arr, even if the dtype
doesn't change.
::
int
PyArray_CastTo(PyArrayObject *out, PyArrayObject *mp)
Cast to an already created array.
::
int
PyArray_CastAnyTo(PyArrayObject *out, PyArrayObject *mp)
Cast to an already created array. Arrays don't have to be "broadcastable"
Only requirement is they have the same number of elements.
::
int
PyArray_CanCastSafely(int fromtype, int totype)
Check the type coercion rules.
::
npy_bool
PyArray_CanCastTo(PyArray_Descr *from, PyArray_Descr *to)
leaves reference count alone --- cannot be NULL
PyArray_CanCastTypeTo is equivalent to this, but adds a 'casting'
parameter.
::
int
PyArray_ObjectType(PyObject *op, int minimum_type)
Return the typecode of the array a Python object would be converted to
Returns the type number the result should have, or NPY_NOTYPE on error.
::
PyArray_Descr *
PyArray_DescrFromObject(PyObject *op, PyArray_Descr *mintype)
new reference -- accepts NULL for mintype
::
PyArrayObject **
PyArray_ConvertToCommonType(PyObject *op, int *retn)
This function is only used in one place within NumPy and should
generally be avoided. It is provided mainly for backward compatibility.
The user of the function has to free the returned array with PyDataMem_FREE.
::
PyArray_Descr *
PyArray_DescrFromScalar(PyObject *sc)
Return descr object from array scalar.
New reference
::
PyArray_Descr *
PyArray_DescrFromTypeObject(PyObject *type)
::
npy_intp
PyArray_Size(PyObject *op)
Compute the size of an array (in number of items)
::
PyObject *
PyArray_Scalar(void *data, PyArray_Descr *descr, PyObject *base)
Get scalar-equivalent to a region of memory described by a descriptor.
::
PyObject *
PyArray_FromScalar(PyObject *scalar, PyArray_Descr *outcode)
Get 0-dim array from scalar
0-dim array from array-scalar object
always contains a copy of the data
unless outcode is NULL, it is of void type and the referrer does
not own it either.
steals reference to outcode
::
void
PyArray_ScalarAsCtype(PyObject *scalar, void *ctypeptr)
Convert to c-type
no error checking is performed -- ctypeptr must be same type as scalar
in case of flexible type, the data is not copied
into ctypeptr which is expected to be a pointer to pointer
::
int
PyArray_CastScalarToCtype(PyObject *scalar, void
*ctypeptr, PyArray_Descr *outcode)
Cast Scalar to c-type
The output buffer must be large-enough to receive the value
Even for flexible types which is different from ScalarAsCtype
where only a reference for flexible types is returned
This may not work right on narrow builds for NumPy unicode scalars.
::
int
PyArray_CastScalarDirect(PyObject *scalar, PyArray_Descr
*indescr, void *ctypeptr, int outtype)
Cast Scalar to c-type
::
PyObject *
PyArray_ScalarFromObject(PyObject *object)
Get an Array Scalar From a Python Object
Returns NULL if unsuccessful but error is only set if another error occurred.
Currently only Numeric-like object supported.
::
PyArray_VectorUnaryFunc *
PyArray_GetCastFunc(PyArray_Descr *descr, int type_num)
Get a cast function to cast from the input descriptor to the
output type_number (must be a registered data-type).
Returns NULL if un-successful.
::
PyObject *
PyArray_FromDims(int NPY_UNUSED(nd) , int *NPY_UNUSED(d) , int
NPY_UNUSED(type) )
Deprecated, use PyArray_SimpleNew instead.
::
PyObject *
PyArray_FromDimsAndDataAndDescr(int NPY_UNUSED(nd) , int
*NPY_UNUSED(d) , PyArray_Descr
*descr, char *NPY_UNUSED(data) )
Deprecated, use PyArray_NewFromDescr instead.
::
PyObject *
PyArray_FromAny(PyObject *op, PyArray_Descr *newtype, int
min_depth, int max_depth, int flags, PyObject
*context)
Does not check for NPY_ARRAY_ENSURECOPY and NPY_ARRAY_NOTSWAPPED in flags
Steals a reference to newtype --- which can be NULL
::
PyObject *
PyArray_EnsureArray(PyObject *op)
This is a quick wrapper around
PyArray_FromAny(op, NULL, 0, 0, NPY_ARRAY_ENSUREARRAY, NULL)
that special cases Arrays and PyArray_Scalars up front
It *steals a reference* to the object
It also guarantees that the result is PyArray_Type
Because it decrefs op if any conversion needs to take place
so it can be used like PyArray_EnsureArray(some_function(...))
::
PyObject *
PyArray_EnsureAnyArray(PyObject *op)
::
PyObject *
PyArray_FromFile(FILE *fp, PyArray_Descr *dtype, npy_intp num, char
*sep)
Given a ``FILE *`` pointer ``fp``, and a ``PyArray_Descr``, return an
array corresponding to the data encoded in that file.
The reference to `dtype` is stolen (it is possible that the passed in
dtype is not held on to).
The number of elements to read is given as ``num``; if it is < 0, then
then as many as possible are read.
If ``sep`` is NULL or empty, then binary data is assumed, else
text data, with ``sep`` as the separator between elements. Whitespace in
the separator matches any length of whitespace in the text, and a match
for whitespace around the separator is added.
For memory-mapped files, use the buffer interface. No more data than
necessary is read by this routine.
::
PyObject *
PyArray_FromString(char *data, npy_intp slen, PyArray_Descr
*dtype, npy_intp num, char *sep)
Given a pointer to a string ``data``, a string length ``slen``, and
a ``PyArray_Descr``, return an array corresponding to the data
encoded in that string.
If the dtype is NULL, the default array type is used (double).
If non-null, the reference is stolen.
If ``slen`` is < 0, then the end of string is used for text data.
It is an error for ``slen`` to be < 0 for binary data (since embedded NULLs
would be the norm).
The number of elements to read is given as ``num``; if it is < 0, then
then as many as possible are read.
If ``sep`` is NULL or empty, then binary data is assumed, else
text data, with ``sep`` as the separator between elements. Whitespace in
the separator matches any length of whitespace in the text, and a match
for whitespace around the separator is added.
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3DSlicer 5.2带中文包-稳定版 (2000个子文件)
fortranobject.c 38KB
extra_avx512f_reduce.c 2KB
cpu_avx512_knm.c 1KB
cpu_popcnt.c 1KB
cpu_avx512_skx.c 1KB
cpu_avx512_icl.c 1KB
cpu_avx512_knl.c 981B
extra_vsx_asm.c 981B
cpu_avx512_cnl.c 972B
cpu_f16c.c 890B
cpu_avx512_clx.c 864B
cpu_asimd.c 845B
cpu_fma3.c 839B
cpu_vxe.c 813B
cpu_avx.c 799B
cpu_avx512cd.c 779B
cpu_avx512f.c 775B
cpu_avx2.c 769B
cpu_ssse3.c 725B
cpu_sse2.c 717B
cpu_sse42.c 712B
cpu_sse3.c 709B
cpu_sse.c 706B
cpu_sse41.c 695B
extra_avx512bw_mask.c 654B
cpu_vxe2.c 645B
cpu_neon_vfpv4.c 630B
cpu_neon.c 619B
cpu_asimdfhm.c 548B
extra_vsx4_mma.c 520B
extra_avx512dq_mask.c 520B
cpu_vsx.c 499B
cpu_vx.c 477B
cpu_asimddp.c 448B
cpu_asimdhp.c 394B
cpu_vsx4.c 319B
cpu_fma4.c 314B
cpu_vsx2.c 276B
cpu_vsx3.c 263B
cpu_neon_fp16.c 262B
cpu_xop.c 246B
gfortran_vs2003_hack.c 83B
test_flags.c 17B
application.css 1KB
_pydoc.css 96B
_lapack_subroutines.h 243KB
libdivide.h 80KB
ndarraytypes.h 69KB
__multiarray_api.h 62KB
npy_common.h 39KB
value.h 27KB
npy_math.h 21KB
experimental_dtype_api.h 20KB
pyconfig.h 20KB
_blas_subroutines.h 19KB
_embedding.h 18KB
npy_3kcompat.h 16KB
_cffi_include.h 15KB
__ufunc_api.h 13KB
ufuncobject.h 12KB
reader.h 12KB
_ufuncs_defs.h 11KB
writer.h 11KB
ndarrayobject.h 10KB
distributions.h 10KB
noprefix.h 7KB
old_defines.h 6KB
parse_c_type.h 6KB
npy_cpu.h 5KB
fortranobject.h 4KB
npy_1_7_deprecated_api.h 4KB
vtkSlicerTestLineRepresentation2D.h 4KB
_cffi_errors.h 4KB
arrayscalars.h 4KB
config.h 4KB
vtkSlicerTestLineRepresentation3D.h 3KB
vtkMRMLMarkupsTestLineNode.h 3KB
npy_endian.h 3KB
qMRMLMarkupsTestLineWidget.h 2KB
numpyconfig.h 2KB
qSlicerTemplateKeyModule.h 2KB
assertions.h 2KB
qSlicerTemplateKeyModule.h 2KB
vtkSlicerTemplateKeyLogic.h 2KB
halffloat.h 2KB
npy_interrupt.h 2KB
_neighborhood_iterator_imp.h 2KB
vtkSlicerTestLineWidget.h 2KB
_ufuncs_cxx_defs.h 2KB
vtkSlicerTemplateKeyLogic.h 2KB
qSlicerTemplateKeyFooBarWidget.h 2KB
features.h 2KB
qSlicerTemplateKeyModuleWidget.h 2KB
utils.h 1KB
npy_os.h 1KB
oldnumeric.h 931B
_numpyconfig.h 851B
forwards.h 795B
npy_no_deprecated_api.h 698B
autolink.h 687B
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