Beispiel #1
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 def test_linear_dirty(self):
     # When reading from HDF5, rounding errors can result in minor variations in the diff
     expected = 0.25E-9
     vector = np.arange(-1E-9, 1E-9, expected)
     round_error = np.random.rand(vector.size) * 1E-14
     vector += round_error
     actual = write_utils.get_slope(vector, tol=1E-3)
     self.assertAlmostEqual(expected, actual)
Beispiel #2
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 def test_invalid_inputs(self):
     with self.assertRaises(BaseException):
         _ = write_utils.get_slope("hello")
Beispiel #3
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 def test_non_linear(self):
     with self.assertRaises(ValueError):
         _ = write_utils.get_slope(np.sin(np.arange(4)))
Beispiel #4
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 def test_invalid_tolerance(self):
     with self.assertRaises(TypeError):
         _ = write_utils.get_slope(np.sin(np.arange(4)), tol="hello")
Beispiel #5
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 def test_linear(self):
     expected = 0.25
     actual = write_utils.get_slope(np.arange(-1, 1, expected))
     self.assertEqual(expected, actual)