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並前往https://yarikoptic.github.io/numpy-vbench/vb_vb_reduce.html

vb_reduce — Vbench performance benchmarks for NumPy

from numpy_vb_common import * d = numpy.ones(20000, dtype=np.intp). Benchmark statement ... [numpy.add.reduce(a, axis=0) for a in squares.itervalues()].

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