/// <summary>
/// Performs a generic reduce or accumulate operation on an input array.
/// A reduce operation reduces the number of dimensions of the input array
/// by one where accumulate does not. Accumulate stores in incremental
/// accumulated values in the extra dimension.
/// </summary>
/// <param name="arr">Input array</param>
/// <param name="indices">Used only for reduceat</param>
/// <param name="axis">Axis to reduce</param>
/// <param name="otype">Output type of the array</param>
/// <param name="outArr">Optional output array</param>
/// <param name="operation">Reduce/accumulate operation to perform</param>
/// <returns>Resulting array, either outArr or a new array</returns>
private Object GenericReduce(ndarray arr, ndarray indices, int axis,
dtype otype, ndarray outArr, GenericReductionOp operation)
{
if (signature() != null)
{
throw new RuntimeException("Reduction is not defined on ufunc's with signatures");
}
if (nin != 2)
{
throw new ArgumentException("Reduce/accumulate only supported for binary functions");
}
if (nout != 1)
{
throw new ArgumentException("Reduce/accumulate only supported for functions returning a single value");
}
if (arr.ndim == 0)
{
throw new ArgumentTypeException("Cannot reduce/accumulate a scalar");
}
if (arr.IsFlexible || (otype != null && NpyDefs.IsFlexible(otype.TypeNum)))
{
throw new ArgumentTypeException("Cannot perform reduce/accumulate with flexible type");
}
return(NpyCoreApi.GenericReduction(this, arr, indices,
outArr, axis, otype, operation));
}
internal static NpyArray NpyUFunc_GenericReduction(NpyUFuncObject self, NpyArray arr, NpyArray indices,
NpyArray _out, int axis, NpyArray_Descr otype, GenericReductionOp operation)
{
return(numpyinternal.NpyUFunc_GenericReduction(self, arr, indices, _out, axis, otype, operation, false));
}
