@@ -94,11 +94,11 @@ def test_polydiff():
9494 assert (params1 ['degree' ], params1 ['window_size' ], params1 ['kernel' ]) == (6 , 50 , 'friedrichs' )
9595 assert (params2 ['degree' ], params2 ['window_size' ], params2 ['kernel' ]) == (3 , 10 , 'gaussian' )
9696
97- def test_rtsdiff_with_irregular_step ():
98- t = np . arange ( len ( x )) * dt ; np . random . seed ( 7 ) # seed so the test can't randomly fail
99- t_irreg = t + np .random . uniform ( - dt / 10 , dt / 10 , * t . shape ) # add jostle
100- params1 , val1 = optimize ( rtsdiff , x , t , dxdt_truth = dxdt_truth )
101- params2 , val2 = optimize (rtsdiff , x , t_irreg , dxdt_truth = dxdt_truth )
102- assert val2 < 1.15 * val1 # optimization works and comes out similar, since jostle is small
103- assert params1 [ 'qr_ratio' ] * 0.85 < params2 [ 'qr_ratio' ] < params1 [ 'qr_ratio' ] * 1.15
104-
97+ # This test runs in a reasonable amount of time locally but for some reason takes forever in CI
98+ # def test_rtsdiff_with_irregular_step():
99+ # t = np.arange(len(x))*dt; np.random.seed(7 ) # seed so the test can't randomly fail
100+ # t_irreg = t + np.random.uniform(-dt/10, dt/10, *t.shape) # add jostle
101+ # params1, val1 = optimize(rtsdiff, x, t , dxdt_truth=dxdt_truth)
102+ # params2, val2 = optimize(rtsdiff, x, t_irreg, dxdt_truth=dxdt_truth)
103+ # assert val2 < 1.15*val1 # optimization works and comes out similar, since jostle is small
104+ # assert params1['qr_ratio']*0.85 < params2['qr_ratio'] < params1['qr_ratio']*1.15
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