(x)
Normalize a vector or a set of vectors.
    
    Arguments:
      * x: a 1D array (vector) or a 2D array, where each row is a vector.
      
    Returns:
      * y: normalized copies of the original vector(s).
Normalize a vector or a set of vectors.
    
    Arguments:
      * x: a 1D array (vector) or a 2D array, where each row is a vector.
      
    Returns:
      * y: normalized copies of the original vector(s).
Normalize a vector or a set of vectors . Arguments : * x : a 1D array ( vector ) or a 2D array where each row is a vector . Returns : * y : normalized copies of the original vector ( s ) .
def normalize(x):
    """Normalize a vector or a set of vectors.
    
    Arguments:
      * x: a 1D array (vector) or a 2D array, where each row is a vector.
      
    Returns:
      * y: normalized copies of the original vector(s).
      
    """
    if x.ndim == 1:
        return x / np.sqrt(np.sum(x ** 2))
    elif x.ndim == 2:
        return x / np.sqrt(np.sum(x ** 2, axis=1)).reshape((-1, 1))
def normalize ( x ) : if x . ndim == 1 : return x / np . sqrt ( np . sum ( x ** 2 ) ) elif x . ndim == 2 : return x / np . sqrt ( np . sum ( x ** 2 , axis = 1 ) ) . reshape ( ( - 1 , 1 ) )