mirror of https://github.com/pyodide/pyodide.git
13 lines
436 B
Python
13 lines
436 B
Python
#setup: import numpy as np ; N = 50 ; X, Y = np.random.randn(50,N), np.random.randn(40,N)
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#run: allpairs_distances_loops(X, Y)
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#pythran export allpairs_distances_loops(float64[][], float64[][])
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import numpy as np
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def allpairs_distances_loops(X,Y):
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result = np.zeros( (X.shape[0], Y.shape[0]), X.dtype)
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for i in range(X.shape[0]):
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for j in range(Y.shape[0]):
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result[i,j] = np.sum( (X[i,:] - Y[j,:]) ** 2)
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return result
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