forked from M-Labs/artiq
coefficients: add comparison unittest
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@ -32,6 +32,15 @@ class TestSplineCoef(unittest.TestCase):
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def test_run(self):
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return self.drive(self.test_synth())
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def test_compare(self):
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scale = 100
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d = list(self.s.get_segment_data(start=0, stop=4, scale=1/scale))
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d[0]["trigger"] = True
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s = compute_samples.Synthesizer(self.y.shape[0], [d])
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s.select(0)
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y = s.trigger()[0]
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np.testing.assert_almost_equal(y[::scale], self.y[0, :-1])
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@unittest.skip("manual/visual test")
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def test_plot(self):
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import matplotlib.pyplot as plt
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