Example #1
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def test_decomposition():
    ml = test_add_stressmodel()
    ml.plots.decomposition(min_ylim_diff=0.1)
Example #2
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def test_compare():
    ml = test_add_stressmodel()
    ml2 = ml.copy()
    ml2.name = "Test_Model2"
    models = [ml, ml2]
    compare(models)
Example #3
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def test_tracksolve():
    ml = test_add_stressmodel()
    track = TrackSolve(ml)
    track.initialize_figure()
    ml.solve(callback=track.update_figure)
Example #4
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def test_plot():
    ml = test_add_stressmodel()
    ml.plot()
Example #5
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def test_contributions_pie():
    ml = test_add_stressmodel()
    ml.plots.contributions_pie()
Example #6
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def test_diagnostics():
    ml = test_add_stressmodel()
    ml.plots.diagnostics()
Example #7
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def test_stresses():
    ml = test_add_stressmodel()
    ml.plots.stresses()
Example #8
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def test_step_response():
    ml = test_add_stressmodel()
    ml.plots.step_response()
Example #9
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def test_block_response():
    ml = test_add_stressmodel()
    ml.plots.block_response()
Example #10
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def test_stacked_results():
    ml = test_add_stressmodel()
    ml.plots.stacked_results()
Example #11
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def test_results():
    ml = test_add_stressmodel()
    ml.plots.results()
Example #12
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def test_diagnostics():
    ml = test_add_stressmodel()
    ml.plots.diagnostics(acf_options=dict(min_obs=10))