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NumPyが物足りない人へのCython入門 https://github.com/tokyo-scipy/archive/tree/master/003 をほぼすべて踏襲。 違いは、 ・matmult_3_1 →matmult3に関し、結果をmallocして計算して後、python objectでreturn ・matmult_3_2 →matmult_3_1に、@cython.boundscheck(false)を付け加えた物 結論 cythonによる高速化 ・行列計算はnumpy使え ・for文のネストはcdef内で行う ・mallocすると、最終的にpython objectに戻す場面が出てくるので、 numpy.ndarrayに型情報を与えアクセスをCレベルに高速化させる(indexはcdef)
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