def isum(arrays, axis = -1, dtype = None, ignore_nan = False):
"""
Streaming sum of array elements.
Parameters
----------
arrays : iterable
Arrays to be summed.
axis : int or None, optional
Reduction axis. Default is to sum the arrays in the stream as if
they had been stacked along a new axis, then sum along this new axis.
If None, arrays are flattened before summing. If `axis` is an int larger that
the number of dimensions in the arrays of the stream, arrays are summed
along the new axis.
dtype : numpy.dtype, optional
The type of the yielded array and of the accumulator in which the elements
are summed. The dtype of a is used by default unless a has an integer dtype
of less precision than the default platform integer. In that case, if a is
signed then the platform integer is used while if a is unsigned then an
unsigned integer of the same precision as the platform integer is used.
ignore_nan : bool, optional
If True, NaNs are ignored. Default is propagation of NaNs.
Yields
------
online_sum : ndarray
"""
yield from ireduce_ufunc(arrays, ufunc = np.add, axis = axis, ignore_nan = ignore_nan, dtype = dtype)
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