BUG: nditer: Memory leak from setting 'base' attribute two ways

Numpy uses its 'base' attribute in two different ways, both
to manage the memory of an external data buffer, and to track
an array for 'UPDATEIFCOPY' purposes. The nditer was creating
a temporary view with negative strides to match the strides of
input arrays, but then also wanted to use UPDATEIFCOPY. Unfortunately
this choice to overload 'base' for both purposes prevents that
from working, and the result was a memory leak.

This bug has been fixed by choosing instead to retain positive
strides and not fully match the order of input memory when
doing the UPDATEIFCOPY.

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