mirror of https://github.com/pyodide/pyodide.git
9 lines
298 B
Python
9 lines
298 B
Python
#setup: import numpy as np ; N = 50 ; X, Y = np.random.randn(100,N), np.random.randn(40,N)
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#run: allpairs_distances(X, Y)
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#pythran export allpairs_distances(float64[][], float64[][])
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import numpy as np
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def allpairs_distances(X,Y):
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return np.array([[np.sum( (x-y) ** 2) for x in X] for y in Y])
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