Removed Codes enum; Added functions for H and R matrix generation and unit tests
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@@ -1,12 +1,12 @@
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import unittest
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import numpy as np
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from utility import simulations
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from utility import noise
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from utility import simulations, noise, codes
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class CountBitErrorsTestCase(unittest.TestCase):
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"""Test case for bit error counting."""
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def test_count_bit_errors(self):
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d1 = np.array([0, 0, 0, 0])
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y_hat1 = np.array([0, 1, 0, 1])
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@@ -25,6 +25,7 @@ class CountBitErrorsTestCase(unittest.TestCase):
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# TODO: Is this correct?
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class NoiseAmpFromSNRTestCase(unittest.TestCase):
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"""Test case for noise amplitude calculation."""
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def test_get_noise_amp_from_SNR(self):
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SNR1 = 0
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SNR2 = 6
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@@ -39,5 +40,41 @@ class NoiseAmpFromSNRTestCase(unittest.TestCase):
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self.assertEqual(noise.get_noise_amp_from_SNR(SNR5, signal_amp=2), 0.002)
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class CodesTestCase(unittest.TestCase):
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"""Tests relating to the 'codes' utilities."""
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def test_get_systematic_H(self):
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# Hamming(7,4) code
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G = np.array([[1, 0, 0, 0, 0, 1, 1],
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[0, 1, 0, 0, 1, 0, 1],
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[0, 0, 1, 0, 1, 1, 0],
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[0, 0, 0, 1, 1, 1, 1]])
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expected_H = np.array([[0, 1, 1, 1, 1, 0, 0],
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[1, 0, 1, 1, 0, 1, 0],
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[1, 1, 0, 1, 0, 0, 1]])
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H = codes.get_systematic_H(G)
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self.assertEqual(np.array_equal(expected_H, H), True)
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def test_get_systematic_R(self):
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# Hamming(7,4) code
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G = np.array([[1, 0, 0, 0, 0, 1, 1],
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[0, 1, 0, 0, 1, 0, 1],
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[0, 0, 1, 0, 1, 1, 0],
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[0, 0, 0, 1, 1, 1, 1]])
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expected_R = G = np.array([[1, 0, 0, 0, 0, 0, 0],
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[0, 1, 0, 0, 0, 0, 0],
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[0, 0, 1, 0, 0, 0, 0],
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[0, 0, 0, 1, 0, 0, 0]])
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R = codes.get_systematic_R(G)
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self.assertEqual(np.array_equal(expected_R, R), True)
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if __name__ == '__main__':
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unittest.main()
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