def test_encode_line_lena(self):
self.maxDiff = None
line_numbers = [1, 10, 100]
for line in line_numbers:
expected = load_pickled_asset("MartinM1_encode_line_lena{0}".format(line))
actual = list(self.lena.encode_line(line))
self.assertEqual(expected, actual)
def test_encode_line_lena(self):
self.maxDiff = None
line_numbers = [1, 10, 100]
for line in line_numbers:
expected = load_pickled_asset(
"MartinM1_encode_line_lena{0}".format(line))
actual = list(self.lena.encode_line(line))
self.assertEqual(expected, actual)
def test_gen_samples(self):
gen_values = self.s.gen_samples()
# gen_samples uses random to avoid quantization noise
# by using additive noise, so there's always a chance
# of running the code two consecutive times on the same machine
# and having different results.
# https://en.wikipedia.org/wiki/Quantization_%28signal_processing%29
sstv.random = MagicMock(return_value=0.4) # xkcd:221
expected = load_pickled_asset("SSTV_gen_samples")
actual = list(islice(gen_values, 0, 1000))
for e, a in zip(expected, actual):
self.assertAlmostEqual(e, a, delta=1)
def test_gen_samples(self):
gen_values = self.s.gen_samples()
# gen_samples uses random to avoid quantization noise
# by using additive noise, so there's always a chance
# of running the code two consecutive times on the same machine
# and having different results.
# https://en.wikipedia.org/wiki/Quantization_%28signal_processing%29
sstv.random = MagicMock(return_value=0.4) # xkcd:221
expected = load_pickled_asset("SSTV_gen_samples")
actual = list(islice(gen_values, 0, 1000))
for e, a in zip(expected, actual):
self.assertAlmostEqual(e, a, delta=1)
def test_gen_values(self):
gen_values = self.s.gen_values()
expected = load_pickled_asset("SSTV_gen_values")
for e, g in zip(expected, gen_values):
self.assertAlmostEqual(e, g, delta=0.000000001)
def test_gen_freq_bits_lena(self):
expected = load_pickled_asset("MartinM1_freq_bits_lena")
actual = list(islice(self.lena.gen_freq_bits(), 0, 1000))
self.assertEqual(expected, actual)
def test_gen_freq_bits_lena(self):
expected = load_pickled_asset("MartinM1_freq_bits_lena")
actual = list(islice(self.lena.gen_freq_bits(), 0, 1000))
self.assertEqual(expected, actual)
def test_gen_values(self):
gen_values = self.s.gen_values()
expected = load_pickled_asset("SSTV_gen_values")
for e, g in zip(expected, gen_values):
self.assertAlmostEqual(e, g, delta=0.000000001)
