isoexp/mab/smab_algs.py [323:341]:
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    K = len(MAB)
    rewards = np.zeros((T,))
    draws = 0*rewards
    N = np.zeros((K,))
    S = np.zeros((K,))
    biased_test = np.zeros((K,))
    
    for k in range(K):
        a = k
        r = 1*MAB[a].sample().squeeze()
        rewards[k] = r
        draws[k] = a
        S[a] +=r
        N[a] +=1
        
    for t in range(K, T) :
        
        for i in range(K) :
            Z = np.random.binomial(1,1/2, size = int(alpha*N[i]))
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isoexp/mab/smab_algs.py [353:370]:
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    K = len(MAB)
    rewards = np.zeros((T,))
    draws = 0*rewards
    N = np.zeros((K,))
    S = np.zeros((K,))
    biased_test = np.zeros((K,))
    for k in range(K):
        
        a = k
        r = 1*MAB[a].sample().squeeze()
        
        rewards[k] = r
        draws[k] = a
        S[a] +=r
        N[a] +=1
    for t in range(K, T) :
        for i in range(K) :
            Z = np.random.binomial(1,1/2, size = int(alpha*N[i]))
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