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Improve numerical symmetry check #1248
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| Original file line number | Diff line number | Diff line change |
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@@ -39,7 +39,7 @@ | |
| import pytest | ||
| from scipy.linalg import eigvals, solve | ||
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| from control.mateqn import lyap, dlyap, care, dare | ||
| from control.mateqn import lyap, dlyap, care, dare, _is_symmetric | ||
| from control.exception import ControlArgument, ControlDimension | ||
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@@ -466,3 +466,24 @@ def test_raise(self): | |
| cdare(A, B, Qfs, R, S, E) | ||
| with pytest.raises(ControlArgument): | ||
| cdare(A, B, Q, Rfs, S, E) | ||
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| def test_is_symmetric_scale_aware(self): | ||
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Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Can you improve the whitespace of your changes?
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Thanks for pointing that out. I have cleaned up the whitespace and rerun the relevant tests. |
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| M = np.array([ | ||
| [1e8, 1e8], | ||
| [1e8 + 1e-8, 1e8] | ||
| ]) | ||
| assert _is_symmetric(M) | ||
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| def test_is_symmetric_rejects_asymmetric(self): | ||
| M = np.array([ | ||
| [1., 2.], | ||
| [5., 1.] | ||
| ]) | ||
| assert not _is_symmetric(M) | ||
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| def test_is_symmetric_complex_hermitian(self): | ||
| M = np.array([ | ||
| [1., 2. + 1.j], | ||
| [2. - 1.j, 3.] | ||
| ]) | ||
| assert _is_symmetric(M) | ||
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Where is the "SciPy symmetry check method" in this commit?
A few quick questions:
Using AI tools is OK, but I want to make sure that you understand the proposed solution (and thus, can write/understand the code).
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Yes. I read the linked comments and SciPy documentation myself.
I misunderstood the requested change earlier. I now understand that I should use SciPy’s built-in symmetry/Hermitian check rather than reimplementing the norm/spacing test. I will rewrite the change myself.
Should the implementation use SciPy’s default exact comparison, or should atol/rtol also be passed through?
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@CNZHM666 I recommend that atol/rtol are passed through. Let me highlight text from one of the comments that I linked:
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I traced the call chain. lqe/dlqe already accept keyword arguments and call care/dare, while care, dare, lyap, and dlyap currently do not expose symmetry tolerances. Do you want atol/rtol to be added to all of these public matrix-equation functions, or only passed through the LQE path for this issue?
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Let's try to use
kwargsor a similar name to support passing through the parameter to scipy. (Probably better not to add explictatol,rtolparameters.) As in the above comment, "There are several other examples where we pass down options to scipy functions." Find those examples, and try to follow the pattern in this PR.