The program below calculates the conditional entropy of the conditional distribution of seq2 given seq1. seq1 = ['apple', 'pear, 'lemon', 'lemon'] seq2 = [True, False, True, True] cd = conditionally_distribute(seq1, seq2) print(conditional_entropy(distribute(seq1), cd) The output of the program is zero because: Given the outcome in [Select] a) seq1 (i.e., 'apple' or 'pear' or 'lemon') b)seq2 (i.e., True or False) we can determine the outcome in [ Select] a) seq1 (i.e., 'apple' or 'pear' or 'lemon') b)seq2 (i.e., True or False) with [ Select] a) zero confidence b) no uncertainty

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