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Numexpr is a fast numerical expression evaluator for Numpy. With it,
expressions that operate on arrays (like "3*a+4*b") are accelerated
and use less memory than doing the same calculation in Python.

Numexpr is written by David Cooke <cookedm@physics.mcmaster.ca> and
Tim Hochberg <tim.hochberg@ieee.org>. Francesc Altet <faltet@carabos.com>
contributed support for booleans, and initial support for strided arrays.
It is distributed under the same license as SciPy.