Contents

Solution: Rolling a Dice

Contents

Solution: Rolling a Dice#

Write a function that works as a dice-rolling simulator.

Rules#

Dice type: Cube (6 faces).
Dice is fair: equal chance of rolling any value.
The function must return an integer value corresponding to the rolled face.
You can use any function from the random module

Function definition#

from random import randint

def dice_rolling():
    face = randint(1,6)
    return face

from random import choice

def dice_rolling():
    face = choice([1,2,3,4,5,6])
    return face

Testing#

Check if your function returns the expected value using the cell below.

import unittest
import numpy as np

class UnitTests(unittest.TestCase):
    def test_type(self):
        self.assertTrue(isinstance(dice_rolling(), int), 'The function should return an integer')
    def test_min_value(self):
        self.assertTrue(all(dice_rolling() >= 1 for _ in range(1000)), 'The function should return a minimum value of 1')
    def test_max_value(self):
        self.assertTrue(all(dice_rolling() <= 6 for _ in range(1000)), 'The function should return a maximum value of 6')
    def test_uniform_distribution(self):
        faces = [dice_rolling() for _ in range(100000)]
        hist, edges = np.histogram(faces, bins=[1,2,3,4,5,6,7], density=True)
        for i in range(6):
            self.assertAlmostEqual(hist[i], 1/6, places=2, msg=f'The side {i+1} should be rolled with a probability of 0.16')

unittest.main(argv=[''], verbosity=2,exit=False)

test_max_value (__main__.UnitTests) ...

ok
test_min_value (__main__.UnitTests) ... 

ok
test_type (__main__.UnitTests) ... 

ok
test_uniform_distribution (__main__.UnitTests) ... 

ok

----------------------------------------------------------------------
Ran 4 tests in 0.110s

OK

<unittest.main.TestProgram at 0x7f889c10cf10>