
=================
Numpy Ufunc C-API
=================
::

  PyObject *
  PyUFunc_FromFuncAndData(PyUFuncGenericFunction *func, void
                          **data, char *types, int ntypes, int nin, int
                          nout, int identity, const char *name, const
                          char *doc, int check_return)


::

  int
  PyUFunc_RegisterLoopForType(PyUFuncObject *ufunc, int
                              usertype, PyUFuncGenericFunction
                              function, int *arg_types, void *data)


::

  int
  PyUFunc_GenericFunction(PyUFuncObject *ufunc, PyObject *args, PyObject
                          *kwds, PyArrayObject **op)


This generic function is called with the ufunc object, the arguments to it,
and an array of (pointers to) PyArrayObjects which are NULL.

'op' is an array of at least NPY_MAXARGS PyArrayObject *.

::

  void
  PyUFunc_f_f_As_d_d(char **args, npy_intp *dimensions, npy_intp
                     *steps, void *func)


::

  void
  PyUFunc_d_d(char **args, npy_intp *dimensions, npy_intp *steps, void
              *func)


::

  void
  PyUFunc_f_f(char **args, npy_intp *dimensions, npy_intp *steps, void
              *func)


::

  void
  PyUFunc_g_g(char **args, npy_intp *dimensions, npy_intp *steps, void
              *func)


::

  void
  PyUFunc_F_F_As_D_D(char **args, npy_intp *dimensions, npy_intp
                     *steps, void *func)


::

  void
  PyUFunc_F_F(char **args, npy_intp *dimensions, npy_intp *steps, void
              *func)


::

  void
  PyUFunc_D_D(char **args, npy_intp *dimensions, npy_intp *steps, void
              *func)


::

  void
  PyUFunc_G_G(char **args, npy_intp *dimensions, npy_intp *steps, void
              *func)


::

  void
  PyUFunc_O_O(char **args, npy_intp *dimensions, npy_intp *steps, void
              *func)


::

  void
  PyUFunc_ff_f_As_dd_d(char **args, npy_intp *dimensions, npy_intp
                       *steps, void *func)


::

  void
  PyUFunc_ff_f(char **args, npy_intp *dimensions, npy_intp *steps, void
               *func)


::

  void
  PyUFunc_dd_d(char **args, npy_intp *dimensions, npy_intp *steps, void
               *func)


::

  void
  PyUFunc_gg_g(char **args, npy_intp *dimensions, npy_intp *steps, void
               *func)


::

  void
  PyUFunc_FF_F_As_DD_D(char **args, npy_intp *dimensions, npy_intp
                       *steps, void *func)


::

  void
  PyUFunc_DD_D(char **args, npy_intp *dimensions, npy_intp *steps, void
               *func)


::

  void
  PyUFunc_FF_F(char **args, npy_intp *dimensions, npy_intp *steps, void
               *func)


::

  void
  PyUFunc_GG_G(char **args, npy_intp *dimensions, npy_intp *steps, void
               *func)


::

  void
  PyUFunc_OO_O(char **args, npy_intp *dimensions, npy_intp *steps, void
               *func)


::

  void
  PyUFunc_O_O_method(char **args, npy_intp *dimensions, npy_intp
                     *steps, void *func)


::

  void
  PyUFunc_OO_O_method(char **args, npy_intp *dimensions, npy_intp
                      *steps, void *func)


::

  void
  PyUFunc_On_Om(char **args, npy_intp *dimensions, npy_intp *steps, void
                *func)


::

  int
  PyUFunc_GetPyValues(char *name, int *bufsize, int *errmask, PyObject
                      **errobj)


On return, if errobj is populated with a non-NULL value, the caller
owns a new reference to errobj.

::

  int
  PyUFunc_checkfperr(int errmask, PyObject *errobj, int *first)


::

  void
  PyUFunc_clearfperr()


::

  int
  PyUFunc_getfperr(void )


::

  int
  PyUFunc_handlefperr(int errmask, PyObject *errobj, int retstatus, int
                      *first)


::

  int
  PyUFunc_ReplaceLoopBySignature(PyUFuncObject
                                 *func, PyUFuncGenericFunction
                                 newfunc, int
                                 *signature, PyUFuncGenericFunction
                                 *oldfunc)


::

  PyObject *
  PyUFunc_FromFuncAndDataAndSignature(PyUFuncGenericFunction *func, void
                                      **data, char *types, int
                                      ntypes, int nin, int nout, int
                                      identity, const char *name, const
                                      char *doc, int check_return, const
                                      char *signature)


::

  int
  PyUFunc_SetUsesArraysAsData(void **data, size_t i)


::

  void
  PyUFunc_e_e(char **args, npy_intp *dimensions, npy_intp *steps, void
              *func)


::

  void
  PyUFunc_e_e_As_f_f(char **args, npy_intp *dimensions, npy_intp
                     *steps, void *func)


::

  void
  PyUFunc_e_e_As_d_d(char **args, npy_intp *dimensions, npy_intp
                     *steps, void *func)


::

  void
  PyUFunc_ee_e(char **args, npy_intp *dimensions, npy_intp *steps, void
               *func)


::

  void
  PyUFunc_ee_e_As_ff_f(char **args, npy_intp *dimensions, npy_intp
                       *steps, void *func)


::

  void
  PyUFunc_ee_e_As_dd_d(char **args, npy_intp *dimensions, npy_intp
                       *steps, void *func)


::

  int
  PyUFunc_DefaultTypeResolver(PyUFuncObject *ufunc, NPY_CASTING
                              casting, PyArrayObject
                              **operands, PyObject
                              *type_tup, PyArray_Descr **out_dtypes)


This function applies the default type resolution rules
for the provided ufunc.

Returns 0 on success, -1 on error.

::

  int
  PyUFunc_ValidateCasting(PyUFuncObject *ufunc, NPY_CASTING
                          casting, PyArrayObject
                          **operands, PyArray_Descr **dtypes)


Validates that the input operands can be cast to
the input types, and the output types can be cast to
the output operands where provided.

Returns 0 on success, -1 (with exception raised) on validation failure.

::

  int
  PyUFunc_RegisterLoopForDescr(PyUFuncObject *ufunc, PyArray_Descr
                               *user_dtype, PyUFuncGenericFunction
                               function, PyArray_Descr
                               **arg_dtypes, void *data)


