def test_linear_space(self):
for _ in range(0, self.__number_inputs):
size = randint(-self.__minimum_size, self.__maximum_size)
minimum = randint(self.__minimum_size, self.__maximum_size / 1000)
maximum = randint(minimum, self.__maximum_size)
generated = algorithm.linspace(minimum, maximum, size)
reference = np.linspace(minimum, maximum, size)
np.testing.assert_array_almost_equal(generated, reference)
def test_centspace(self):
for _ in range(100):
min_f = random.uniform(self.__minimum_frequency,
self.__maximum_frequency)
max_f = random.uniform(min_f, self.__maximum_frequency)
n = random.randint(0, self.__maximum_size)
frequencies = algorithm.linspace(min_f, max_f, n)
generated = auditory.centspace(min_f, max_f, n)
for f, bark in zip(frequencies, generated):
self.assertAlmostEqual(auditory.hertz2cent(f), bark)