Can I make a numpy memory mapped mask?

Sorry realized that of course memmapping the mask isn't an optimal solution here. Numpy does not really have much to help loop through the array in chunks (which would be the cleanest way), though you can of course do that by hand. You might actually have some success with numexpr which always does its calculation in chunks for speeding up numpy, but I did not try this.

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