mirror of https://github.com/pyodide/pyodide.git
19 lines
437 B
Python
19 lines
437 B
Python
# from http://stackoverflow.com/questions/77999777799977/numpy-vs-cython-speed
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# pythran export multiple_sum(float[][])
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# setup: import numpy as np ; r = np.random.rand(100,100)
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# run: multiple_sum(r)
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import numpy as np
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def multiple_sum(array):
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rows = array.shape[0]
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cols = array.shape[1]
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out = np.zeros((rows, cols))
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for row in range(0, rows):
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out[row, :] = np.sum(array - array[row, :], 0)
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return out
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