def test_rappor():
responder = Responder()
reviewer = Reviewer()
num_responders = 1000
num_choices = 20
real_responses = [0] * num_choices
random_responses = [0] * num_choices
real_responses_per = [0] * num_choices
estimated_responses_per = [0] * num_choices
total_random = 0
print("")
for x in range(num_responders):
real_value = int(round(normalvariate(10, 1), 0))
real_value = min(num_choices - 1, real_value)
real_value = max(0, real_value)
real_responses[real_value] += 1
response = responder._generate_response(num_choices, real_value)
for y in range(num_choices):
random_responses[y] += response[y]
estimated_responses = reviewer._estimate_responses(random_responses,
num_responders)
for y in range(num_choices):
real_responses_per[y] = round(real_responses[y] / num_responders,
4) * 100
estimated_responses_per[y] = estimated_responses[y] * 100
print(["{0:0.2f}".format(i) for i in real_responses_per])
print(["{0:0.2f}".format(i) for i in estimated_responses_per])
assert (True)
