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Batuhan Osman TASKAYA
cpython
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f73c69e0
Kaydet (Commit)
f73c69e0
authored
Eyl 03, 2012
tarafından
Alexander Belopolsky
Dosyalara gözat
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Eposta Yamaları
Sade Fark
Issue #15855: added docstrings for memoryview methods and data descriptors new in 3.3.
üst
e370c381
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memoryobject.c
Objects/memoryobject.c
+28
-13
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Objects/memoryobject.c
Dosyayı görüntüle @
f73c69e0
...
...
@@ -2861,11 +2861,21 @@ memory_contiguous(PyMemoryViewObject *self, PyObject *dummy)
return
PyBool_FromLong
(
MV_ANY_CONTIGUOUS
(
self
->
flags
));
}
PyDoc_STRVAR
(
memory_obj_doc
,
"The underlying object of the memoryview."
);
PyDoc_STRVAR
(
memory_nbytes_doc
,
"The amount of space in bytes that the array would use in
\n
"
" a contiguous representation."
);
PyDoc_STRVAR
(
memory_readonly_doc
,
"A bool indicating whether the memory is read only."
);
PyDoc_STRVAR
(
memory_itemsize_doc
,
"The size in bytes of each element of the memoryview."
);
PyDoc_STRVAR
(
memory_format_doc
,
"A string containing the format (in struct module style)
\n
"
" for each element in the view."
);
PyDoc_STRVAR
(
memory_itemsize_doc
,
"The size in bytes of each element of the memoryview."
);
PyDoc_STRVAR
(
memory_ndim_doc
,
"An integer indicating how many dimensions of a multi-dimensional
\n
"
" array the memory represents."
);
PyDoc_STRVAR
(
memory_shape_doc
,
"A tuple of ndim integers giving the shape of the memory
\n
"
" as an N-dimensional array."
);
...
...
@@ -2874,15 +2884,16 @@ PyDoc_STRVAR(memory_strides_doc,
" each element for each dimension of the array."
);
PyDoc_STRVAR
(
memory_suboffsets_doc
,
"A tuple of integers used internally for PIL-style arrays."
);
PyDoc_STRVAR
(
memory_readonly_doc
,
"A bool indicating whether the memory is read only."
);
PyDoc_STRVAR
(
memory_ndim_doc
,
"An integer indicating how many dimensions of a multi-dimensional
\n
"
" array the memory represents."
);
PyDoc_STRVAR
(
memory_c_contiguous_doc
,
"A bool indicating whether the memory is C contiguous."
);
PyDoc_STRVAR
(
memory_f_contiguous_doc
,
"A bool indicating whether the memory is Fortran contiguous."
);
PyDoc_STRVAR
(
memory_contiguous_doc
,
"A bool indicating whether the memory is contiguous."
);
static
PyGetSetDef
memory_getsetlist
[]
=
{
{
"obj"
,
(
getter
)
memory_obj_get
,
NULL
,
NULL
},
{
"nbytes"
,
(
getter
)
memory_nbytes_get
,
NULL
,
NULL
},
{
"obj"
,
(
getter
)
memory_obj_get
,
NULL
,
memory_obj_doc
},
{
"nbytes"
,
(
getter
)
memory_nbytes_get
,
NULL
,
memory_nbytes_doc
},
{
"readonly"
,
(
getter
)
memory_readonly_get
,
NULL
,
memory_readonly_doc
},
{
"itemsize"
,
(
getter
)
memory_itemsize_get
,
NULL
,
memory_itemsize_doc
},
{
"format"
,
(
getter
)
memory_format_get
,
NULL
,
memory_format_doc
},
...
...
@@ -2890,9 +2901,9 @@ static PyGetSetDef memory_getsetlist[] = {
{
"shape"
,
(
getter
)
memory_shape_get
,
NULL
,
memory_shape_doc
},
{
"strides"
,
(
getter
)
memory_strides_get
,
NULL
,
memory_strides_doc
},
{
"suboffsets"
,
(
getter
)
memory_suboffsets_get
,
NULL
,
memory_suboffsets_doc
},
{
"c_contiguous"
,
(
getter
)
memory_c_contiguous
,
NULL
,
NULL
},
{
"f_contiguous"
,
(
getter
)
memory_f_contiguous
,
NULL
,
NULL
},
{
"contiguous"
,
(
getter
)
memory_contiguous
,
NULL
,
NULL
},
{
"c_contiguous"
,
(
getter
)
memory_c_contiguous
,
NULL
,
memory_c_contiguous_doc
},
{
"f_contiguous"
,
(
getter
)
memory_f_contiguous
,
NULL
,
memory_f_contiguous_doc
},
{
"contiguous"
,
(
getter
)
memory_contiguous
,
NULL
,
memory_contiguous_doc
},
{
NULL
,
NULL
,
NULL
,
NULL
},
};
...
...
@@ -2908,12 +2919,16 @@ PyDoc_STRVAR(memory_tolist_doc,
"M.tolist() -> list
\n
\
\n
\
Return the data in the buffer as a list of elements."
);
PyDoc_STRVAR
(
memory_cast_doc
,
"M.cast(format[, shape]) -> memoryview
\n
\
\n
\
Cast a memoryview to a new format or shape."
);
static
PyMethodDef
memory_methods
[]
=
{
{
"release"
,
(
PyCFunction
)
memory_release
,
METH_NOARGS
,
memory_release_doc
},
{
"tobytes"
,
(
PyCFunction
)
memory_tobytes
,
METH_NOARGS
,
memory_tobytes_doc
},
{
"tolist"
,
(
PyCFunction
)
memory_tolist
,
METH_NOARGS
,
memory_tolist_doc
},
{
"cast"
,
(
PyCFunction
)
memory_cast
,
METH_VARARGS
|
METH_KEYWORDS
,
NULL
},
{
"cast"
,
(
PyCFunction
)
memory_cast
,
METH_VARARGS
|
METH_KEYWORDS
,
memory_cast_doc
},
{
"__enter__"
,
memory_enter
,
METH_NOARGS
,
NULL
},
{
"__exit__"
,
memory_exit
,
METH_VARARGS
,
NULL
},
{
NULL
,
NULL
}
...
...
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