def main():
all_docs = get_docs(NUMBER_OF_DOCS)
monte_carlo = MonteCarlo(all_docs, p=.9, N=100, epsilon=.1)
comparison_counter = 0
try:
print(f'Comparisons: {comparison_counter}', end='\r')
while not monte_carlo.all_same:
pair = monte_carlo.next_pair()
if PERCENT_CORRECT > random.random():
if pair[0] > pair[1]:
monte_carlo.compare(pair, True)
else:
monte_carlo.compare(pair, False)
else:
if pair[0] > pair[1]:
monte_carlo.compare(pair, False)
else:
monte_carlo.compare(pair, True)
comparison_counter += 1
print(f'Comparisons: {comparison_counter}', end='\r')
# pprint(pair)
# print(monte_carlo.N_array)
except KeyboardInterrupt:
print(monte_carlo.get_sorted())
exit()
sorted_list = monte_carlo.get_sorted()
distances = []
for i in range(0, NUMBER_OF_DOCS):
all_docs = monte_carlo.get_sorted()
try:
distances.append(abs((i) - all_docs[i]))
except IndexError:
print(f'i={i}')
print(monte_carlo.get_sorted())
print(f'Number of docs: {NUMBER_OF_DOCS}\n'
f'Comparisons: {comparison_counter}\n'
f'Average error: {statistics.mean(distances)}\n'
f'SD of errors: {statistics.stdev(distances)}\n'
f'Max error: {max(distances)}')
