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SISO tf() may not work with numpy arrays with numpy.int elements.#158
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2 changes: 1 addition & 1 deletion.travis.yml
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46 changes: 46 additions & 0 deletionscontrol/tests/tf_input_element_int.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,46 @@ | ||
| import unittest | ||
| import numpy as np | ||
| import control as ctl | ||
| class TestTfInputIntElement(unittest.TestCase): | ||
| # currently these do not pass | ||
| def test_tf_den_with_numpy_int_element(self): | ||
| num = 1 | ||
| den = np.convolve([1, 2, 1], [1, 1, 1]) | ||
| sys = ctl.tf(num, den) | ||
| self.assertAlmostEqual(1.0, ctl.dcgain(sys)) | ||
| def test_tf_num_with_numpy_int_element(self): | ||
| num = np.convolve([1], [1, 1]) | ||
| den = np.convolve([1, 2, 1], [1, 1, 1]) | ||
| sys = ctl.tf(num, den) | ||
| self.assertAlmostEqual(1.0, ctl.dcgain(sys)) | ||
| # currently these pass | ||
| def test_tf_input_with_int_element_works(self): | ||
| num = 1 | ||
| den = np.convolve([1.0, 2, 1], [1, 1, 1]) | ||
| sys = ctl.tf(num, den) | ||
| self.assertAlmostEqual(1.0, ctl.dcgain(sys)) | ||
| def test_ss_input_with_int_element(self): | ||
| ident = np.matrix(np.identity(2), dtype=int) | ||
| a = np.matrix([[0, 1], | ||
| [-1, -2]], dtype=int) * ident | ||
| b = np.matrix([[0], | ||
| [1]], dtype=int) | ||
| c = np.matrix([[0, 1]], dtype=int) | ||
| d = 0 | ||
| sys = ctl.ss(a, b, c, d) | ||
| sys2 = ctl.ss2tf(sys) | ||
| self.assertAlmostEqual(ctl.dcgain(sys), ctl.dcgain(sys2)) |
2 changes: 1 addition & 1 deletioncontrol/xferfcn.py
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