Skip to content

Test norm methods slycot and scipy separately #1201

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
bnavigator wants to merge 3 commits into
base: main
Choose a base branch
from
Open

Test norm methods slycot and scipy separately #1201

Changes from 1 commit
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
8d20519
test norm methods
bnavigator Feb 1, 2026
a7a98a0
mark slycot needing tests
bnavigator Feb 1, 2026
e3bfe9d
test some invalid parameters
bnavigator Feb 1, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
mark slycot needing tests
  • Loading branch information
@bnavigator
bnavigator committed Feb 15, 2026
commit a7a98a077d3a56bb116a79917a98a9319bf9bc0d
8 changes: 4 additions & 4 deletions control/tests/sysnorm_test.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
import pytest


@pytest.mark.parametrize("method", ["slycot", "scipy", None])
@pytest.mark.parametrize("method", [pytest.param("slycot", marks=pytest.mark.slycot), "scipy", None])
def test_norm_1st_order_stable_system(method):
"""First-order stable continuous-time system"""
s = ct.tf('s')
Expand All @@ -25,7 +25,7 @@ def test_norm_1st_order_stable_system(method):
assert np.allclose(ct.norm(Gd1, p=2, method=method), 0.223513699524858) # Comparison to norm computed in MATLAB


@pytest.mark.parametrize("method", ["slycot", "scipy", None])
@pytest.mark.parametrize("method", [pytest.param("slycot", marks=pytest.mark.slycot), "scipy", None])
def test_norm_1st_order_unstable_system(method):
"""First-order unstable continuous-time system"""
s = ct.tf('s')
Expand All @@ -40,7 +40,7 @@ def test_norm_1st_order_unstable_system(method):
with pytest.warns(UserWarning, match="System is unstable!"):
assert ct.norm(Gd2, p=2, method=method) == float('inf') # Comparison to norm computed in MATLAB

@pytest.mark.parametrize("method", ["slycot", "scipy", None])
@pytest.mark.parametrize("method", [pytest.param("slycot", marks=pytest.mark.slycot), "scipy", None])
def test_norm_2nd_order_system_imag_poles(method):
"""Second-order continuous-time system with poles on imaginary axis"""
s = ct.tf('s')
Expand All @@ -57,7 +57,7 @@ def test_norm_2nd_order_system_imag_poles(method):
with pytest.warns(UserWarning, match="Poles close to, or on, the complex unit circle."):
assert ct.norm(Gd3, p=2, method=method) == float('inf') # Comparison to norm computed in MATLAB

@pytest.mark.parametrize("method", ["slycot", "scipy", None])
@pytest.mark.parametrize("method", [pytest.param("slycot", marks=pytest.mark.slycot), "scipy", None])
def test_norm_3rd_order_mimo_system(method):
"""Third-order stable MIMO continuous-time system"""
A = np.array([[-1.017041847539126, -0.224182952826418, 0.042538079149249],
Expand Down