Пример #1
0
 def test_encode_line_lena(self):
     self.maxDiff = None
     line_numbers = [1, 10, 100]
     for line in line_numbers:
         file = open(get_asset_filename("MartinM1_encode_line_lena%d.p" % line))
         expected = pickle.load(file)
         actual = list(self.lena.encode_line(line))
         self.assertEqual(expected, actual)
Пример #2
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 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 = pickle.load(open(get_asset_filename("SSTV_gen_samples.p")))
     actual = list(islice(gen_values, 0, 1000))
     for e, a in izip(expected, actual):
         self.assertAlmostEqual(e, a, delta=1)
Пример #3
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 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 = pickle.load(open(get_asset_filename("SSTV_gen_samples.p")))
     actual = list(islice(gen_values, 0, 1000))
     for e, a in izip(expected, actual):
         self.assertAlmostEqual(e, a, delta=1)
Пример #4
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 def test_gen_values(self):
     gen_values = self.s.gen_values()
     expected = pickle.load(open(get_asset_filename("SSTV_gen_values.p")))
     for e, g in izip(expected, gen_values):
         self.assertAlmostEqual(e, g, delta=0.000000001)
Пример #5
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 def test_gen_values(self):
     gen_values = self.s.gen_values()
     expected = pickle.load(open(get_asset_filename("SSTV_gen_values.p")))
     for e, g in izip(expected, gen_values):
         self.assertAlmostEqual(e, g, delta=0.000000001)
Пример #6
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 def test_gen_freq_bits_lena(self):
     expected = pickle.load(open(get_asset_filename("MartinM1_freq_bits_lena.p")))
     actual = list(islice(self.lena.gen_freq_bits(), 0, 1000))
     self.assertEqual(expected, actual)
Пример #7
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 def setUp(self):
     self.image = Image.new("RGB", (320, 256))
     self.s = color.MartinM1(self.image, 48000, 16)
     lena = Image.open(get_asset_filename("320x256.png"))
     self.lena = color.MartinM1(lena, 48000, 16)