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author | mattip <matti.picus@gmail.com> | 2019-10-15 00:58:57 +0300 |
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committer | mattip <matti.picus@gmail.com> | 2019-10-15 00:58:57 +0300 |
commit | 63f1dab8d90eccc6926dd1d9e160b420a028350b (patch) | |
tree | 461f2b4cf98d7c98fc27dfcec59f5370d69de932 /doc/source/reference/c-api | |
parent | 4bc65bfc3763fefc9033d44921b3a1dcc5a07efd (diff) | |
download | numpy-63f1dab8d90eccc6926dd1d9e160b420a028350b.tar.gz |
DOC: fix function argument definitions and add vertical space around macros
Diffstat (limited to 'doc/source/reference/c-api')
-rw-r--r-- | doc/source/reference/c-api/array.rst | 123 |
1 files changed, 68 insertions, 55 deletions
diff --git a/doc/source/reference/c-api/array.rst b/doc/source/reference/c-api/array.rst index 08bf06b00..bce1448e4 100644 --- a/doc/source/reference/c-api/array.rst +++ b/doc/source/reference/c-api/array.rst @@ -916,82 +916,82 @@ enumerated array data type. For the array type checking macros the argument must be a :c:type:`PyObject *<PyObject>` that can be directly interpreted as a :c:type:`PyArrayObject *`. -.. c:function:: PyTypeNum_ISUNSIGNED(num) +.. c:function:: PyTypeNum_ISUNSIGNED(int num) -.. c:function:: PyDataType_ISUNSIGNED(descr) +.. c:function:: PyDataType_ISUNSIGNED(PyArray_Descr *descr) -.. c:function:: PyArray_ISUNSIGNED(obj) +.. c:function:: PyArray_ISUNSIGNED(PyArrayObject *obj) Type represents an unsigned integer. -.. c:function:: PyTypeNum_ISSIGNED(num) +.. c:function:: PyTypeNum_ISSIGNED(int num) -.. c:function:: PyDataType_ISSIGNED(descr) +.. c:function:: PyDataType_ISSIGNED(PyArray_Descr *descr) -.. c:function:: PyArray_ISSIGNED(obj) +.. c:function:: PyArray_ISSIGNED(PyArrayObject *obj) Type represents a signed integer. -.. c:function:: PyTypeNum_ISINTEGER(num) +.. c:function:: PyTypeNum_ISINTEGER(int num) -.. c:function:: PyDataType_ISINTEGER(descr) +.. c:function:: PyDataType_ISINTEGER(PyArray_Descr* descr) -.. c:function:: PyArray_ISINTEGER(obj) +.. c:function:: PyArray_ISINTEGER(PyArrayObject *obj) Type represents any integer. -.. c:function:: PyTypeNum_ISFLOAT(num) +.. c:function:: PyTypeNum_ISFLOAT(int num) -.. c:function:: PyDataType_ISFLOAT(descr) +.. c:function:: PyDataType_ISFLOAT(PyArray_Descr* descr) -.. c:function:: PyArray_ISFLOAT(obj) +.. c:function:: PyArray_ISFLOAT(PyArrayObject *obj) Type represents any floating point number. -.. c:function:: PyTypeNum_ISCOMPLEX(num) +.. c:function:: PyTypeNum_ISCOMPLEX(int num) -.. c:function:: PyDataType_ISCOMPLEX(descr) +.. c:function:: PyDataType_ISCOMPLEX(PyArray_Descr* descr) -.. c:function:: PyArray_ISCOMPLEX(obj) +.. c:function:: PyArray_ISCOMPLEX(PyArrayObject *obj) Type represents any complex floating point number. -.. c:function:: PyTypeNum_ISNUMBER(num) +.. c:function:: PyTypeNum_ISNUMBER(int num) -.. c:function:: PyDataType_ISNUMBER(descr) +.. c:function:: PyDataType_ISNUMBER(PyArray_Descr* descr) -.. c:function:: PyArray_ISNUMBER(obj) +.. c:function:: PyArray_ISNUMBER(PyArrayObject *obj) Type represents any integer, floating point, or complex floating point number. -.. c:function:: PyTypeNum_ISSTRING(num) +.. c:function:: PyTypeNum_ISSTRING(int num) -.. c:function:: PyDataType_ISSTRING(descr) +.. c:function:: PyDataType_ISSTRING(PyArray_Descr* descr) -.. c:function:: PyArray_ISSTRING(obj) +.. c:function:: PyArray_ISSTRING(PyArrayObject *obj) Type represents a string data type. -.. c:function:: PyTypeNum_ISPYTHON(num) +.. c:function:: PyTypeNum_ISPYTHON(int num) -.. c:function:: PyDataType_ISPYTHON(descr) +.. c:function:: PyDataType_ISPYTHON(PyArray_Descr* descr) -.. c:function:: PyArray_ISPYTHON(obj) +.. c:function:: PyArray_ISPYTHON(PyArrayObject *obj) Type represents an enumerated type corresponding to one of the standard Python scalar (bool, int, float, or complex). -.. c:function:: PyTypeNum_ISFLEXIBLE(num) +.. c:function:: PyTypeNum_ISFLEXIBLE(int num) -.. c:function:: PyDataType_ISFLEXIBLE(descr) +.. c:function:: PyDataType_ISFLEXIBLE(PyArray_Descr* descr) -.. c:function:: PyArray_ISFLEXIBLE(obj) +.. c:function:: PyArray_ISFLEXIBLE(PyArrayObject *obj) Type represents one of the flexible array types ( :c:data:`NPY_STRING`, :c:data:`NPY_UNICODE`, or :c:data:`NPY_VOID` ). -.. c:function:: PyDataType_ISUNSIZED(descr): +.. c:function:: PyDataType_ISUNSIZED(PyArray_Descr* descr): Type has no size information attached, and can be resized. Should only be called on flexible dtypes. Types that are attached to an array will always @@ -1001,41 +1001,41 @@ argument must be a :c:type:`PyObject *<PyObject>` that can be directly interpret For structured datatypes with no fields this function now returns False. -.. c:function:: PyTypeNum_ISUSERDEF(num) +.. c:function:: PyTypeNum_ISUSERDEF(int num) -.. c:function:: PyDataType_ISUSERDEF(descr) +.. c:function:: PyDataType_ISUSERDEF(PyArray_Descr* descr) -.. c:function:: PyArray_ISUSERDEF(obj) +.. c:function:: PyArray_ISUSERDEF(PyArrayObject *obj) Type represents a user-defined type. -.. c:function:: PyTypeNum_ISEXTENDED(num) +.. c:function:: PyTypeNum_ISEXTENDED(int num) -.. c:function:: PyDataType_ISEXTENDED(descr) +.. c:function:: PyDataType_ISEXTENDED(PyArray_Descr* descr) -.. c:function:: PyArray_ISEXTENDED(obj) +.. c:function:: PyArray_ISEXTENDED(PyArrayObject *obj) Type is either flexible or user-defined. -.. c:function:: PyTypeNum_ISOBJECT(num) +.. c:function:: PyTypeNum_ISOBJECT(int num) -.. c:function:: PyDataType_ISOBJECT(descr) +.. c:function:: PyDataType_ISOBJECT(PyArray_Descr* descr) -.. c:function:: PyArray_ISOBJECT(obj) +.. c:function:: PyArray_ISOBJECT(PyArrayObject *obj) Type represents object data type. -.. c:function:: PyTypeNum_ISBOOL(num) +.. c:function:: PyTypeNum_ISBOOL(int num) -.. c:function:: PyDataType_ISBOOL(descr) +.. c:function:: PyDataType_ISBOOL(PyArray_Descr* descr) -.. c:function:: PyArray_ISBOOL(obj) +.. c:function:: PyArray_ISBOOL(PyArrayObject *obj) Type represents Boolean data type. -.. c:function:: PyDataType_HASFIELDS(descr) +.. c:function:: PyDataType_HASFIELDS(PyArray_Descr* descr) -.. c:function:: PyArray_HASFIELDS(obj) +.. c:function:: PyArray_HASFIELDS(PyArrayObject *obj) Type has fields associated with it. @@ -1584,7 +1584,7 @@ Flag checking For all of these macros *arr* must be an instance of a (subclass of) :c:data:`PyArray_Type`. -.. c:function:: PyArray_CHKFLAGS(arr, flags) +.. c:function:: PyArray_CHKFLAGS(PyObject *arr, flags) The first parameter, arr, must be an ndarray or subclass. The parameter, *flags*, should be an integer consisting of bitwise @@ -1594,60 +1594,60 @@ For all of these macros *arr* must be an instance of a (subclass of) :c:data:`NPY_ARRAY_WRITEABLE`, :c:data:`NPY_ARRAY_WRITEBACKIFCOPY`, :c:data:`NPY_ARRAY_UPDATEIFCOPY`. -.. c:function:: PyArray_IS_C_CONTIGUOUS(arr) +.. c:function:: PyArray_IS_C_CONTIGUOUS(PyObject *arr) Evaluates true if *arr* is C-style contiguous. -.. c:function:: PyArray_IS_F_CONTIGUOUS(arr) +.. c:function:: PyArray_IS_F_CONTIGUOUS(PyObject *arr) Evaluates true if *arr* is Fortran-style contiguous. -.. c:function:: PyArray_ISFORTRAN(arr) +.. c:function:: PyArray_ISFORTRAN(PyObject *arr) Evaluates true if *arr* is Fortran-style contiguous and *not* C-style contiguous. :c:func:`PyArray_IS_F_CONTIGUOUS` is the correct way to test for Fortran-style contiguity. -.. c:function:: PyArray_ISWRITEABLE(arr) +.. c:function:: PyArray_ISWRITEABLE(PyObject *arr) Evaluates true if the data area of *arr* can be written to -.. c:function:: PyArray_ISALIGNED(arr) +.. c:function:: PyArray_ISALIGNED(PyObject *arr) Evaluates true if the data area of *arr* is properly aligned on the machine. -.. c:function:: PyArray_ISBEHAVED(arr) +.. c:function:: PyArray_ISBEHAVED(PyObject *arr) Evaluates true if the data area of *arr* is aligned and writeable and in machine byte-order according to its descriptor. -.. c:function:: PyArray_ISBEHAVED_RO(arr) +.. c:function:: PyArray_ISBEHAVED_RO(PyObject *arr) Evaluates true if the data area of *arr* is aligned and in machine byte-order. -.. c:function:: PyArray_ISCARRAY(arr) +.. c:function:: PyArray_ISCARRAY(PyObject *arr) Evaluates true if the data area of *arr* is C-style contiguous, and :c:func:`PyArray_ISBEHAVED` (*arr*) is true. -.. c:function:: PyArray_ISFARRAY(arr) +.. c:function:: PyArray_ISFARRAY(PyObject *arr) Evaluates true if the data area of *arr* is Fortran-style contiguous and :c:func:`PyArray_ISBEHAVED` (*arr*) is true. -.. c:function:: PyArray_ISCARRAY_RO(arr) +.. c:function:: PyArray_ISCARRAY_RO(PyObject *arr) Evaluates true if the data area of *arr* is C-style contiguous, aligned, and in machine byte-order. -.. c:function:: PyArray_ISFARRAY_RO(arr) +.. c:function:: PyArray_ISFARRAY_RO(PyObject *arr) Evaluates true if the data area of *arr* is Fortran-style contiguous, aligned, and in machine byte-order **.** -.. c:function:: PyArray_ISONESEGMENT(arr) +.. c:function:: PyArray_ISONESEGMENT(PyObject *arr) Evaluates true if the data area of *arr* consists of a single (C-style or Fortran-style) contiguous segment. @@ -2659,18 +2659,27 @@ cost of a slight overhead. The mode should be one of: .. c:macro:: NPY_NEIGHBORHOOD_ITER_ZERO_PADDING + Zero padding. Outside bounds values will be 0. + .. c:macro:: NPY_NEIGHBORHOOD_ITER_ONE_PADDING + One padding, Outside bounds values will be 1. + .. c:macro:: NPY_NEIGHBORHOOD_ITER_CONSTANT_PADDING + Constant padding. Outside bounds values will be the same as the first item in fill_value. + .. c:macro:: NPY_NEIGHBORHOOD_ITER_MIRROR_PADDING + Mirror padding. Outside bounds values will be as if the array items were mirrored. For example, for the array [1, 2, 3, 4], x[-2] will be 2, x[-2] will be 1, x[4] will be 4, x[5] will be 1, etc... + .. c:macro:: NPY_NEIGHBORHOOD_ITER_CIRCULAR_PADDING + Circular padding. Outside bounds values will be as if the array was repeated. For example, for the array [1, 2, 3, 4], x[-2] will be 3, x[-2] will be 4, x[4] will be 1, x[5] will be 2, etc... @@ -3508,6 +3517,10 @@ Miscellaneous Macros Evaluates as True if arrays *a1* and *a2* have the same shape. +.. c:var:: a + +.. c:var:: b + .. c:macro:: PyArray_MAX(a,b) Returns the maximum of *a* and *b*. If (*a*) or (*b*) are |