@@ -258,6 +258,7 @@ def test_matrix_sum_result(axis, keepdims):
258258 assert np_res .shape == scip_res .shape
259259
260260
261+ @pytest .mark .skip (reason = "Performance test" )
261262@pytest .mark .parametrize ("n" , [100 ])
262263def test_matrix_sum_axis_is_none_performance (n ):
263264 model = Model ()
@@ -272,6 +273,7 @@ def test_matrix_sum_axis_is_none_performance(n):
272273 assert model .isGE (orig * 1.25 , matrix )
273274
274275
276+ @pytest .mark .skip (reason = "Performance test" )
275277@pytest .mark .parametrize ("n" , [100 ])
276278def test_matrix_sum_axis_not_none_performance (n ):
277279 model = Model ()
@@ -286,6 +288,7 @@ def test_matrix_sum_axis_not_none_performance(n):
286288 assert model .isGE (orig * 1.25 , matrix )
287289
288290
291+ @pytest .mark .skip (reason = "Performance test" )
289292@pytest .mark .parametrize ("n" , [100 ])
290293def test_matrix_mean_performance (n ):
291294 model = Model ()
@@ -308,6 +311,7 @@ def test_matrix_mean():
308311 assert isinstance (x .mean (1 ), MatrixExpr )
309312
310313
314+ @pytest .mark .skip (reason = "Performance test" )
311315@pytest .mark .parametrize ("n" , [100 ])
312316def test_matrix_dot_performance (n ):
313317 model = Model ()
0 commit comments