broadcast.reset() Reset the broadcasted result?s iterator(s).

broadcast.next x.next() -> the next value, or raise StopIteration

numpy.reshape(a, newshape, order='C')

numpy.asscalar(a)

numpy.atleast_1d(*arys)

broadcast.iters tuple of iterators along self?s ?components.? Returns a tuple of

numpy.tile(A, reps)

numpy.stack(arrays, axis=0)

numpy.swapaxes(a, axis1, axis2)

numpy.asarray_chkfinite(a, dtype=None, order=None)