TSPopt()- genetic_alg- Malfunction in max_attempts

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I am using TSPopt() to solve simple TSP example with following code:-
->best_state, best_fitness, fittness_curve = mlrose.genetic_alg(problem_fit2, mutation_prob = 0.2, max_attempts = max_attempt, random_state = 2, curve=True)
I iterate max_attempt from 1 to 50, and get following size of fittness_curve:-
Output:-
Max attempts = 1; size of fittness curve = 2
Max attempts = 2; size of fittness curve = 3
Max attempts = 3; size of fittness curve = 4
Max attempts = 4; size of fittness curve = 5
Max attempts = 5; size of fittness curve = 6
Max attempts = 6; size of fittness curve = 7
Max attempts = 7; size of fittness curve = 15
Max attempts = 8; size of fittness curve = 16
Max attempts = 9; size of fittness curve = 17
Max attempts = 10; size of fittness curve = 18
Max attempts = 11; size of fittness curve = 32
Max attempts = 12; size of fittness curve = 33
Max attempts = 13; size of fittness curve = 34
Max attempts = 14; size of fittness curve = 35
Max attempts = 15; size of fittness curve = 36
Max attempts = 16; size of fittness curve = 37
Max attempts = 17; size of fittness curve = 38
Max attempts = 18; size of fittness curve = 39
Max attempts = 19; size of fittness curve = 40
Max attempts = 20; size of fittness curve = 41

It seems that more attempts are being made by the library than passed at parameters and the problem exist at values 7 and 11.

Kindly help to improve my understanding please.

tsp_mlrose-distance.py.pdf