def spearman_rho(worder, normalize=True):
    worder_len = len(worder)
    sum_d_square = sum((wi - i)**2 for wi, i in zip(worder, range(worder_len)))
    rho = 1 - sum_d_square / choose(worder_len+1, 3)
    
    if normalize: # If normalized, the rho output falls between 0.0 to 1.0
        return (rho + 1) /2
    else: # Otherwise, the rho outputs falls between -1.0 to +1.0
        return rho
Wrapper to allow undeclared key arguments.
dataset/ETHPy150Open nltk/nltk/nltk/translate/ribes_score.py/spearman_rho--crossover with--dataset/ETHPy150Open rvanlaar/easy-transifex/src/transifex/transifex/txcommon/views.py/permission_denied