How to get a value in an array based on the sampled value

Questions
4

the line: m_test[abs(int(alpha))] is what i want to get.
but this is wrong。

X1 = np.random.randn(size)
basic_model = pm.Model()
m_test=[1,1,1,1,3,3,4,3]
with basic_model:
 # Priors for unknown model parameters
    alpha = pm.Uniform("alpha",  lower=0, upper=5,transform=None)   
  # Expected value of outcome
    mu = m_test[abs(int(alpha))]*X1
 # Likelihood (sampling distribution) of observations
    Y_obs = pm.Normal("Y_obs", mu=mu, observed=Y)
    trace = pm.sample(1000)
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