#from: http://jakevdp.github.com/blog/2012/08/24/numba-vs-cython/
#setup: import numpy as np ; X = np.linspace(0,10,200).reshape(20,10)
#run: pairwise_loop(X)

#pythran export pairwise_loop(float [][])

import numpy as np
def pairwise_loop(X):
    M, N = X.shape
    D = np.empty((M,M))
    for i in range(M):
        for j in range(M):
            d = 0.0
            for k in range(N):
                tmp = X[i,k] - X[j,k]
                d += tmp * tmp
            D[i,j] = np.sqrt(d)
    return D