Computes the distance between m points using Euclidean distance (2-norm) as the distance metric between the points. The points are arranged as m n-dimensional row vectors in the matrix X.

distance_np.py

import numpy as np

def distance(X):
    """
    Computes the distance between m points using Euclidean distance (2-norm) 
    as the distance metric between the points. 
    The points are arranged as m n-dimensional row vectors in the matrix X.
    """
    # agregamos una dimension.  Ahora X.shape == (m, 1, n)
    # Por ejemplo np.all(X[0] == X_dim_plus[0, 0])
    X_dim_plus = X[:, np.newaxis, :]
    
    # elevamos los catetos de todos los puntos. genera una matriz de (m,m,n)
    dist = (X_dim_plus - X)**2
    
    # aplanamos la matriz sumando la última dimension. Ahora será (m,m)
    dist = np.sum(dist, axis=-1)
    # y por ultimo calculamos su raiz cuadrada. 
    return np.sqrt(dist)