test_solver_ADY

test.ASC_SOLVER.test_solver_ADY

This is a pytest module needing documentation

pytest-html report

Functions

T_calc_H2(folder)

This is a pytest needing documentation

T_calc_HiB(folder)

This is a pytest needing documentation

T_plot_H2(folder[, dfile])

Test that runs the plotting code for H2.

T_plot_HiB(folder[, dfile])

This is a pytest needing documentation

get_systemB([folder])

This is a pytest needing documentation

Details

T_calc_H2(folder)[source]

This is a pytest needing documentation

code
 1@pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
 2def T_calc_H2(folder):
 3    sysB = get_systemB(folder = folder)
 4    FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function
 5
 6    if folder == 'ExampleModels_newFOM_F3':
 7        FOM_out = ["F3.out", "F2.out"]
 8    else:
 9        FOM_out = ["FBNS.out", "F2.out"]
10    wn_in = ["S.in", "O.in"]
11    control_in = ["U.in"]
12    meas_out = ["T.out"]
13
14    sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[0], FBNS_scale)
15    sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[1], FFlat_scale)
16
17    # Scale the DARM output
18    if 'DARM.out' in sysB.sys.outputs.keys():
19        print('scaling DARM')
20        DARM_scale_factor = strain2m * SNR_intg_factor
21        sysB.sys = ssutil.scale_io(sysB.sys, 'DARM.out', DARM_scale_factor)
22
23    params = {}
24    if folder == 'ExampleModels':
25        params["F1_gain"] = np.geomspace(1e-0, 1e6, 30) * 1/FBNS_scale
26    elif folder == 'ExampleModels_newFOM_F3':
27        params["F1_gain"] = np.geomspace(1e-0, 1e6, 30) * 1/FBNS_scale
28    else:
29        params["F1_gain"] = np.geomspace(1e2, 1e6, 15) * 1/FBNS_scale
30        #params["F1_gain"] = np.geomspace(1e2, 5e7, 30) * 1/FBNS_scale
31
32    results_H2_bare = compute.calcOpt(
33        sysB.sys,
34        control_in,
35        wn_in,
36        meas_out,
37        FOM_out,
38        params,
39        solver="LQG",
40        plant_orig=sysB.orig_plant,
41    )
42
43    print("Length of H2 results: ", len(results_H2_bare))
44
45    current_range = np.loadtxt(fjoin(folder, 'FBNS_Current_range.txt')) # Saved by the normalization in the make function
46
47    plotting_omega = np.logspace(-3, 4, 1000) * 2 * np.pi
48    results_H2 = compute.calcFullResults(
49        results_H2_bare,
50        colormap="jet",
51        plot_omega=plotting_omega,
52        RMS_cal=1, 
53        RMS_cal_F1 = 1/FBNS_scale * 1/FBNS_renorm * strain2m * SNR_intg_factor,
54        RMS_cal_F2 = 1/FFlat_scale * ct2rad,
55        current_range = current_range,
56    )
57
58    ofile = "results_H2_ADY.pkl"
59    tfile = tjoin(ofile)
60    buzzutil.save_results(results_H2, tfile)
61
62    ffile = fjoin(folder, ofile)
63    buzzutil.save_results(results_H2, ffile)
64
65    # copy to the data directory if it is missing
66    dfile = fjoin(folder, ofile)
67
68    # should not copy into rootdir, especially for parametrized test
69    # should this be for ffile?
70    # if not os.path.exists(ofile):
71    #     import shutil
72    #     shutil.copy(tfile, ofile) 
73
74    print("Now running plot test")
75    T_plot_H2(folder=folder, dfile=tfile)
pytest information

This code is wrapped in a pytest function using conventions detailed in pytest_conventions. The full name of this test, as known by the documentation, is:

test.ASC_SOLVER.test_solver_ADY.T_calc_H2

The full name is useful when building documentation, to link a reference to this page using :func:`name`, or directly include it with an autofunction directive. The collapse nodes below show every instance of the test run. There may only be one, but if the test was run multiple times through pytest parametrizations, the list can be longer.

T_calc_H2[ExampleModels]
output
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
Length of H2 results:  30
Captured stderr call

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captured errors:
folder = 'ExampleModels'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_calc_H2(folder):
        sysB = get_systemB(folder = folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if folder == 'ExampleModels_newFOM_F3':
            FOM_out = ["F3.out", "F2.out"]
        else:
            FOM_out = ["FBNS.out", "F2.out"]
        wn_in = ["S.in", "O.in"]
        control_in = ["U.in"]
        meas_out = ["T.out"]

        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[0], FBNS_scale)
        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[1], FFlat_scale)

        # Scale the DARM output
        if 'DARM.out' in sysB.sys.outputs.keys():
            print('scaling DARM')
            DARM_scale_factor = strain2m * SNR_intg_factor
            sysB.sys = ssutil.scale_io(sysB.sys, 'DARM.out', DARM_scale_factor)

        params = {}
        if folder == 'ExampleModels':
            params["F1_gain"] = np.geomspace(1e-0, 1e6, 30) * 1/FBNS_scale
        elif folder == 'ExampleModels_newFOM_F3':
            params["F1_gain"] = np.geomspace(1e-0, 1e6, 30) * 1/FBNS_scale
        else:
            params["F1_gain"] = np.geomspace(1e2, 1e6, 15) * 1/FBNS_scale
            #params["F1_gain"] = np.geomspace(1e2, 5e7, 30) * 1/FBNS_scale

        results_H2_bare = compute.calcOpt(
            sysB.sys,
            control_in,
            wn_in,
            meas_out,
            FOM_out,
            params,
            solver="LQG",
            plant_orig=sysB.orig_plant,
        )

        print("Length of H2 results: ", len(results_H2_bare))

>       current_range = np.loadtxt(fjoin(folder, 'FBNS_Current_range.txt')) # Saved by the normalization in the make function

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:129: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:1373: in loadtxt
    arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:992: in _read
    fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:193: in open
    return ds.open(path, mode, encoding=encoding, newline=newline)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <numpy.DataSource object at 0x7f8cd1ea1c40>
path = '/builds/buzz/test/ASC_SOLVER/ExampleModels/FBNS_Current_range.txt'
mode = 'rt', encoding = None, newline = None

    def open(self, path, mode='r', encoding=None, newline=None):
        """
        Open and return file-like object.

        If `path` is an URL, it will be downloaded, stored in the
        `DataSource` directory and opened from there.

        Parameters
        ----------
        path : str
            Local file path or URL to open.
        mode : {'r', 'w', 'a'}, optional
            Mode to open `path`.  Mode 'r' for reading, 'w' for writing,
            'a' to append. Available modes depend on the type of object
            specified by `path`. Default is 'r'.
        encoding : {None, str}, optional
            Open text file with given encoding. The default encoding will be
            what `io.open` uses.
        newline : {None, str}, optional
            Newline to use when reading text file.

        Returns
        -------
        out : file object
            File object.

        """

        # TODO: There is no support for opening a file for writing which
        #       doesn't exist yet (creating a file).  Should there be?

        # TODO: Add a ``subdir`` parameter for specifying the subdirectory
        #       used to store URLs in self._destpath.

        if self._isurl(path) and self._iswritemode(mode):
            raise ValueError("URLs are not writeable")

        # NOTE: _findfile will fail on a new file opened for writing.
        found = self._findfile(path)
        if found:
            _fname, ext = self._splitzipext(found)
            if ext == 'bz2':
                mode.replace("+", "")
            return _file_openers[ext](found, mode=mode,
                                      encoding=encoding, newline=newline)
        else:
>           raise FileNotFoundError(f"{path} not found.")
E           FileNotFoundError: /builds/buzz/test/ASC_SOLVER/ExampleModels/FBNS_Current_range.txt not found.

/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:533: FileNotFoundError
T_calc_H2[ExampleModels_newFOM]
output
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
Length of H2 results:  15

Range from PSD:  134.69366304763025

Range from PSD:  141.9779897016733

Range from PSD:  150.97379727587239

Range from PSD:  159.18479377545103

Range from PSD:  165.71677886134862

Range from PSD:  151.95386930841423

Range from PSD:  113.76451845162678

Range from PSD:  181.9685038242169

Range from PSD:  185.88384004037817

Range from PSD:  188.2219146204635

Range from PSD:  190.83761922612686

Range from PSD:  188.43940209708634

Range from PSD:  191.74730909323645

Range from PSD:  192.66332455508237

Range from PSD:  172.3059148834362
Now running plot test
dfile:  /builds/buzz/docs/maketests/test_results/test_solver_ADY.py/T_calc_H2[ExampleModels_newFOM]/results_H2_ADY.pkl
len H2_results:  15
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>

Range from PSD:  182.9457750975944
RMS:  5.315563400953407e-07 0.0026116026648801863
RMS:  2.3375103409979522e-34 5.427539544263282e-17
Captured stderr call

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T_calc_H2[ExampleModels_newFOM_F3]
output
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
Length of H2 results:  30

Range from PSD:  2.8110936934463455e-05

Range from PSD:  2.5715896559096668e-05

Range from PSD:  2.2075786588272986e-05

Range from PSD:  1.809993136196498e-05

Range from PSD:  1.4479855569525213e-05

Range from PSD:  1.1826908138915228e-05

Range from PSD:  1.0137837404148829e-05

Range from PSD:  9.547773449923481e-06

Range from PSD:  9.867862639904244e-06

Range from PSD:  1.079742725217308e-05

Range from PSD:  1.1866314376191359e-05

Range from PSD:  1.3463993685645208e-05

Range from PSD:  1.5305751581508902e-05

Range from PSD:  1.7345128337318346e-05

Range from PSD:  1.8808964715441812e-05

Range from PSD:  2.1163905802504896e-05

Range from PSD:  2.3817758904188263e-05

Range from PSD:  2.6629226237210313e-05

Range from PSD:  2.9270965012945756e-05

Range from PSD:  3.160066285012665e-05

Range from PSD:  3.6158235410437504e-05

Range from PSD:  3.5875395091381206e-05

Range from PSD:  3.634311452466745e-05

Range from PSD:  3.806499690999955e-05

Range from PSD:  3.8259108618481004e-05

Range from PSD:  4.0415329906955987e-05

Range from PSD:  4.5310598384783555e-05

Range from PSD:  5.570056118955515e-05

Range from PSD:  5.930310305929205e-05

Range from PSD:  6.252820362368873e-05
Now running plot test
dfile:  /builds/buzz/docs/maketests/test_results/test_solver_ADY.py/T_calc_H2[ExampleModels_newFOM_F3]/results_H2_ADY.pkl
len H2_results:  30
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>

Range from PSD:  0.00010882835455095848
RMS:  4.793962449667171e-08 0.00077685135108067
RMS:  2.1391591241714643e-21 1.6406410649962868e-10
Captured stderr call

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T_calc_H2[ExampleModels_rescale]
output
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
Length of H2 results:  15
Captured stderr call

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captured errors:
folder = 'ExampleModels_rescale'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_calc_H2(folder):
        sysB = get_systemB(folder = folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if folder == 'ExampleModels_newFOM_F3':
            FOM_out = ["F3.out", "F2.out"]
        else:
            FOM_out = ["FBNS.out", "F2.out"]
        wn_in = ["S.in", "O.in"]
        control_in = ["U.in"]
        meas_out = ["T.out"]

        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[0], FBNS_scale)
        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[1], FFlat_scale)

        # Scale the DARM output
        if 'DARM.out' in sysB.sys.outputs.keys():
            print('scaling DARM')
            DARM_scale_factor = strain2m * SNR_intg_factor
            sysB.sys = ssutil.scale_io(sysB.sys, 'DARM.out', DARM_scale_factor)

        params = {}
        if folder == 'ExampleModels':
            params["F1_gain"] = np.geomspace(1e-0, 1e6, 30) * 1/FBNS_scale
        elif folder == 'ExampleModels_newFOM_F3':
            params["F1_gain"] = np.geomspace(1e-0, 1e6, 30) * 1/FBNS_scale
        else:
            params["F1_gain"] = np.geomspace(1e2, 1e6, 15) * 1/FBNS_scale
            #params["F1_gain"] = np.geomspace(1e2, 5e7, 30) * 1/FBNS_scale

        results_H2_bare = compute.calcOpt(
            sysB.sys,
            control_in,
            wn_in,
            meas_out,
            FOM_out,
            params,
            solver="LQG",
            plant_orig=sysB.orig_plant,
        )

        print("Length of H2 results: ", len(results_H2_bare))

>       current_range = np.loadtxt(fjoin(folder, 'FBNS_Current_range.txt')) # Saved by the normalization in the make function

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:129: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:1373: in loadtxt
    arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:992: in _read
    fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:193: in open
    return ds.open(path, mode, encoding=encoding, newline=newline)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <numpy.DataSource object at 0x7f8cd27e3b30>
path = '/builds/buzz/test/ASC_SOLVER/ExampleModels_rescale/FBNS_Current_range.txt'
mode = 'rt', encoding = None, newline = None

    def open(self, path, mode='r', encoding=None, newline=None):
        """
        Open and return file-like object.

        If `path` is an URL, it will be downloaded, stored in the
        `DataSource` directory and opened from there.

        Parameters
        ----------
        path : str
            Local file path or URL to open.
        mode : {'r', 'w', 'a'}, optional
            Mode to open `path`.  Mode 'r' for reading, 'w' for writing,
            'a' to append. Available modes depend on the type of object
            specified by `path`. Default is 'r'.
        encoding : {None, str}, optional
            Open text file with given encoding. The default encoding will be
            what `io.open` uses.
        newline : {None, str}, optional
            Newline to use when reading text file.

        Returns
        -------
        out : file object
            File object.

        """

        # TODO: There is no support for opening a file for writing which
        #       doesn't exist yet (creating a file).  Should there be?

        # TODO: Add a ``subdir`` parameter for specifying the subdirectory
        #       used to store URLs in self._destpath.

        if self._isurl(path) and self._iswritemode(mode):
            raise ValueError("URLs are not writeable")

        # NOTE: _findfile will fail on a new file opened for writing.
        found = self._findfile(path)
        if found:
            _fname, ext = self._splitzipext(found)
            if ext == 'bz2':
                mode.replace("+", "")
            return _file_openers[ext](found, mode=mode,
                                      encoding=encoding, newline=newline)
        else:
>           raise FileNotFoundError(f"{path} not found.")
E           FileNotFoundError: /builds/buzz/test/ASC_SOLVER/ExampleModels_rescale/FBNS_Current_range.txt not found.

/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:533: FileNotFoundError
T_calc_H2[ExampleModels_working]
output
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
The given state space system is a descriptor system with an E matrix. This is not supported
Length of H2 results:  15
Captured stderr call

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captured errors:
folder = 'ExampleModels_working'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_calc_H2(folder):
        sysB = get_systemB(folder = folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if folder == 'ExampleModels_newFOM_F3':
            FOM_out = ["F3.out", "F2.out"]
        else:
            FOM_out = ["FBNS.out", "F2.out"]
        wn_in = ["S.in", "O.in"]
        control_in = ["U.in"]
        meas_out = ["T.out"]

        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[0], FBNS_scale)
        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[1], FFlat_scale)

        # Scale the DARM output
        if 'DARM.out' in sysB.sys.outputs.keys():
            print('scaling DARM')
            DARM_scale_factor = strain2m * SNR_intg_factor
            sysB.sys = ssutil.scale_io(sysB.sys, 'DARM.out', DARM_scale_factor)

        params = {}
        if folder == 'ExampleModels':
            params["F1_gain"] = np.geomspace(1e-0, 1e6, 30) * 1/FBNS_scale
        elif folder == 'ExampleModels_newFOM_F3':
            params["F1_gain"] = np.geomspace(1e-0, 1e6, 30) * 1/FBNS_scale
        else:
            params["F1_gain"] = np.geomspace(1e2, 1e6, 15) * 1/FBNS_scale
            #params["F1_gain"] = np.geomspace(1e2, 5e7, 30) * 1/FBNS_scale

        results_H2_bare = compute.calcOpt(
            sysB.sys,
            control_in,
            wn_in,
            meas_out,
            FOM_out,
            params,
            solver="LQG",
            plant_orig=sysB.orig_plant,
        )

        print("Length of H2 results: ", len(results_H2_bare))

>       current_range = np.loadtxt(fjoin(folder, 'FBNS_Current_range.txt')) # Saved by the normalization in the make function

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:129: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:1373: in loadtxt
    arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:992: in _read
    fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:193: in open
    return ds.open(path, mode, encoding=encoding, newline=newline)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <numpy.DataSource object at 0x7f8cd2912ab0>
path = '/builds/buzz/test/ASC_SOLVER/ExampleModels_working/FBNS_Current_range.txt'
mode = 'rt', encoding = None, newline = None

    def open(self, path, mode='r', encoding=None, newline=None):
        """
        Open and return file-like object.

        If `path` is an URL, it will be downloaded, stored in the
        `DataSource` directory and opened from there.

        Parameters
        ----------
        path : str
            Local file path or URL to open.
        mode : {'r', 'w', 'a'}, optional
            Mode to open `path`.  Mode 'r' for reading, 'w' for writing,
            'a' to append. Available modes depend on the type of object
            specified by `path`. Default is 'r'.
        encoding : {None, str}, optional
            Open text file with given encoding. The default encoding will be
            what `io.open` uses.
        newline : {None, str}, optional
            Newline to use when reading text file.

        Returns
        -------
        out : file object
            File object.

        """

        # TODO: There is no support for opening a file for writing which
        #       doesn't exist yet (creating a file).  Should there be?

        # TODO: Add a ``subdir`` parameter for specifying the subdirectory
        #       used to store URLs in self._destpath.

        if self._isurl(path) and self._iswritemode(mode):
            raise ValueError("URLs are not writeable")

        # NOTE: _findfile will fail on a new file opened for writing.
        found = self._findfile(path)
        if found:
            _fname, ext = self._splitzipext(found)
            if ext == 'bz2':
                mode.replace("+", "")
            return _file_openers[ext](found, mode=mode,
                                      encoding=encoding, newline=newline)
        else:
>           raise FileNotFoundError(f"{path} not found.")
E           FileNotFoundError: /builds/buzz/test/ASC_SOLVER/ExampleModels_working/FBNS_Current_range.txt not found.

/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:533: FileNotFoundError
T_calc_HiB(folder)[source]

This is a pytest needing documentation

code
 1@pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
 2def T_calc_HiB(folder):
 3    sysB = get_systemB(folder = folder)
 4    FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function
 5
 6    if folder == 'ExampleModels_newFOM_F3':
 7        FOM_out = ["F3.out", "F2.out"]
 8    else:
 9        FOM_out = ["FBNS.out", "F2.out"]
10    wn_in = ["S.in", "O.in"]
11    Zinf = ["Zinf.in"]
12    control_in = ["U.in"]
13    meas_out = ["T.out"]
14
15    sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[0], FBNS_scale)
16    sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[1], FFlat_scale)
17
18    # Scale the DARM output
19    if 'DARM.out' in sysB.sys.outputs.keys():
20        print('scaling DARM')
21        DARM_scale_factor = strain2m * SNR_intg_factor
22        sysB.sys = ssutil.scale_io(sysB.sys, 'DARM.out', DARM_scale_factor)
23
24    params = {}
25    if folder == 'ExampleModels':
26        params['F1_gain'] = np.geomspace(1e1, 1e5, 5) * 1/FBNS_scale # was 1e1 3e3
27    elif folder == 'ExampleModels_newFOM_F3':
28        params['F1_gain'] = np.geomspace(1e-6, 1e-3, 5) * 1/FBNS_scale
29    else:
30        params["F1_gain"] = np.geomspace(4e1, 1e5, 6) * 1/FBNS_scale
31        #params["F1_gain"] = np.array([0.09146101038546522])
32
33    # params["igsq_capture"] = [
34    #     0,  # H2 constraint
35    #     1.8e-2,  # 1 deg
36    #     1e-1,  # 6 deg
37    #     0.20,  # 11.5 deg
38    #     0.3,  # 17 deg
39    #     0.5,  # 30 deg
40    #     0.7653668647301797,  # 45 deg
41    #     0.85,  # 50.0 deg
42    #     0.90,  # 53.5 deg
43    #     0.95,  # 56.5 deg
44    #     # above this it gets very hairy
45    #     # these are 10 solutions
46    # ]
47
48    # params["igsq_capture"] = np.geomspace(1e-6, 0.99, 40)
49    params["igsq_capture"] = np.concatenate([np.geomspace(1e-6, 0.1, 6), np.geomspace(.1, 0.95, 6)])
50
51    plotting_omega = np.logspace(-3, 4, 1000) * 2 * np.pi
52    results_Hib_bare = compute.calcOpt(
53        sysB.sys,
54        control_in,
55        wn_in,
56        meas_out,
57        FOM_out,
58        params,
59        Zinf=Zinf,
60        solver="HB",
61        plant_orig=sysB.orig_plant,
62        BH_solver = BH1solverset,
63        debug_mode=True,
64    )
65
66    current_range = np.loadtxt(fjoin(folder, 'FBNS_Current_range.txt')) # Saved by the normalization in the make function
67
68    print("Calculating Full Results Now:")
69    results_Hib = compute.calcFullResults(
70        results_Hib_bare,
71        colormap="RdYlGn",
72        plot_omega=plotting_omega,
73        color_param="igsq",
74        label=False,
75        RMS_cal=1,
76        RMS_cal_F1 = 1/FBNS_scale * 1/FBNS_renorm * strain2m * SNR_intg_factor,
77        RMS_cal_F2 = 1/FFlat_scale * ct2rad,
78        current_range = current_range,
79    )
80
81    ofile = "results_Hib_ADY.pkl"
82    tfile = tjoin(ofile)
83    buzzutil.save_results(results_Hib, tfile)
84
85    ffile = fjoin(folder, ofile)
86    buzzutil.save_results(results_Hib, ffile)
87
88    # TODO, should also check if the data is identical and warn that it should be copied
89    # copy to the data directory if it is missing
90    dfile = fjoin(folder, ofile)
91    # should not save into the root folder for parametrized test - Lee
92    # if not os.path.exists(ofile):
93    #     import shutil
94    #     shutil.copy(tfile, ofile) 
95
96    print("Now running plot test")
97    T_plot_HiB(folder=folder, dfile=tfile)
pytest information

This code is wrapped in a pytest function using conventions detailed in pytest_conventions. The full name of this test, as known by the documentation, is:

test.ASC_SOLVER.test_solver_ADY.T_calc_HiB

The full name is useful when building documentation, to link a reference to this page using :func:`name`, or directly include it with an autofunction directive. The collapse nodes below show every instance of the test run. There may only be one, but if the test was run multiple times through pytest parametrizations, the list can be longer.

T_calc_HiB[ExampleModels_newFOM]
output
LPL []
MPL []
eq37 Before S: 4202.707955802983
eq37  S: 2.9638688872627893e-07
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=3.3e+00, igsq=1e-06
Reset #2, asq_eff=3.6e+00, igsq=1e-06
Reset #3, asq_eff=3.7e+00, igsq=1e-06
Reset #4, asq_eff=3.5e+00, igsq=1e-06
Reset #5, asq_eff=3.3e+00, igsq=1e-06
Reset #6, asq_eff=3.2e+00, igsq=1e-06
Steps remaining: 58, asq_eff=3.2e+00, igsq=1e-06
Reset #7, asq_eff=3.2e+00, igsq=1e-06
Reset #8, asq_eff=3.1e+00, igsq=1e-06
Reset #9, asq_eff=2.8e+00, igsq=1e-06
Reset #10, asq_eff=2.6e+00, igsq=1e-06
Reset #11, asq_eff=2.6e+00, igsq=1e-06
Reset #12, asq_eff=2.6e+00, igsq=1e-06
Reset #13, asq_eff=2.6e+00, igsq=1e-06
Reset #14, asq_eff=2.6e+00, igsq=1e-06
Reset #15, asq_eff=2.4e+00, igsq=1e-06
Reset #16, asq_eff=2.4e+00, igsq=1e-06
Reset #17, asq_eff=2.4e+00, igsq=1e-06
Reset #18, asq_eff=2.4e+00, igsq=1e-06
Reset #19, asq_eff=2.3e+00, igsq=1e-06
Reset #20, asq_eff=2.4e+00, igsq=1e-06
Reset #21, asq_eff=2.4e+00, igsq=1e-06
Reset #22, asq_eff=2.4e+00, igsq=1e-06
Reset #23, asq_eff=2.4e+00, igsq=1e-06
Reset #24, asq_eff=2.3e+00, igsq=1e-06
Reset #25, asq_eff=2.3e+00, igsq=1e-06
Reset #26, asq_eff=2.3e+00, igsq=1e-06
Reset #27, asq_eff=2.2e+00, igsq=1e-06
Reset #28, asq_eff=2.3e+00, igsq=1e-06
Reset #29, asq_eff=2.2e+00, igsq=1e-06
Reset #30, asq_eff=2.1e+00, igsq=1e-06
Reset #31, asq_eff=2.1e+00, igsq=1e-06
Reset #32, asq_eff=2.1e+00, igsq=1e-06
Reset #33, asq_eff=1.9e+00, igsq=1e-06
Steps remaining: 31, asq_eff=1.8e+00, igsq=1e-06
Reset #34, asq_eff=1.9e+00, igsq=1e-06
Reset #35, asq_eff=1.8e+00, igsq=1e-06
Reset #36, asq_eff=1.9e+00, igsq=1e-06
Reset #37, asq_eff=1.8e+00, igsq=1e-06
Reset #38, asq_eff=1.9e+00, igsq=1e-06
Reset #39, asq_eff=1.8e+00, igsq=1e-06
Reset #40, asq_eff=1.9e+00, igsq=1e-06
Reset #41, asq_eff=1.8e+00, igsq=1e-06
Reset #42, asq_eff=1.8e+00, igsq=1e-06
Steps remaining: 29, asq_eff=1.8e+00, igsq=1e-06
Reset #43, asq_eff=1.8e+00, igsq=1e-06
Reset #44, asq_eff=1.7e+00, igsq=1e-06
Reset #45, asq_eff=1.7e+00, igsq=1e-06
Reset #46, asq_eff=1.7e+00, igsq=1e-06
Reset #47, asq_eff=1.8e+00, igsq=1e-06
Reset #48, asq_eff=1.8e+00, igsq=1e-06
Reset #49, asq_eff=1.8e+00, igsq=1e-06
Steps remaining: 24, asq_eff=1.6e+00, igsq=1e-06
Reset #50, asq_eff=1.6e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=1.61e+00, N_step=306
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=9.1e+00, igsq=1e-05
Reset #2, asq_eff=7.1e+00, igsq=1e-05
Reset #3, asq_eff=7.4e+00, igsq=1e-05
Reset #4, asq_eff=5.1e+00, igsq=1e-05
Steps remaining: 70, asq_eff=4.4e+00, igsq=1e-05
Reset #5, asq_eff=3.9e+00, igsq=1e-05
Reset #6, asq_eff=3.6e+00, igsq=1e-05
Reset #7, asq_eff=3.6e+00, igsq=1e-05
Reset #8, asq_eff=3.7e+00, igsq=1e-05
Reset #9, asq_eff=3.7e+00, igsq=1e-05
Reset #10, asq_eff=3.7e+00, igsq=1e-05
Reset #11, asq_eff=3.7e+00, igsq=1e-05
Steps remaining: 64, asq_eff=3.6e+00, igsq=1e-05
Reset #12, asq_eff=3.1e+00, igsq=1e-05
Reset #13, asq_eff=3.2e+00, igsq=1e-05
Reset #14, asq_eff=3.2e+00, igsq=1e-05
Reset #15, asq_eff=3.2e+00, igsq=1e-05
Reset #16, asq_eff=3.3e+00, igsq=1e-05
Reset #17, asq_eff=3.1e+00, igsq=1e-05
Reset #18, asq_eff=3.1e+00, igsq=1e-05
Steps remaining: 55, asq_eff=3.0e+00, igsq=1e-05
Reset #19, asq_eff=3.0e+00, igsq=1e-05
Reset #20, asq_eff=2.8e+00, igsq=1e-05
Reset #21, asq_eff=2.8e+00, igsq=1e-05
Reset #22, asq_eff=2.6e+00, igsq=1e-05
Reset #23, asq_eff=2.6e+00, igsq=1e-05
Reset #24, asq_eff=2.5e+00, igsq=1e-05
Reset #25, asq_eff=2.5e+00, igsq=1e-05
Reset #26, asq_eff=2.6e+00, igsq=1e-05
Reset #27, asq_eff=2.5e+00, igsq=1e-05
Reset #28, asq_eff=2.5e+00, igsq=1e-05
Reset #29, asq_eff=2.4e+00, igsq=1e-05
Reset #30, asq_eff=2.3e+00, igsq=1e-05
Reset #31, asq_eff=2.2e+00, igsq=1e-05
Reset #32, asq_eff=2.2e+00, igsq=1e-05
Reset #33, asq_eff=2.3e+00, igsq=1e-05
Steps remaining: 40, asq_eff=2.2e+00, igsq=1e-05
Reset #34, asq_eff=2.2e+00, igsq=1e-05
Reset #35, asq_eff=2.1e+00, igsq=1e-05
Reset #36, asq_eff=2.0e+00, igsq=1e-05
Reset #37, asq_eff=2.0e+00, igsq=1e-05
Reset #38, asq_eff=2.0e+00, igsq=1e-05
Reset #39, asq_eff=2.0e+00, igsq=1e-05
Reset #40, asq_eff=2.0e+00, igsq=1e-05
Reset #41, asq_eff=1.9e+00, igsq=1e-05
Reset #42, asq_eff=1.8e+00, igsq=1e-05
Reset #43, asq_eff=1.8e+00, igsq=1e-05
Reset #44, asq_eff=1.7e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=1.73e+00, N_step=294
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=3.3e+00, igsq=0.0001
Reset #2, asq_eff=3.0e+00, igsq=0.0001
Reset #3, asq_eff=2.2e+00, igsq=0.0001
Reset #4, asq_eff=2.3e+00, igsq=0.0001
Reset #5, asq_eff=2.3e+00, igsq=0.0001
Reset #6, asq_eff=2.3e+00, igsq=0.0001
Reset #7, asq_eff=2.3e+00, igsq=0.0001
Reset #8, asq_eff=2.2e+00, igsq=0.0001
Reset #9, asq_eff=2.2e+00, igsq=0.0001
Reset #10, asq_eff=2.2e+00, igsq=0.0001
Reset #11, asq_eff=2.3e+00, igsq=0.0001
Reset #12, asq_eff=2.1e+00, igsq=0.0001
Reset #13, asq_eff=2.1e+00, igsq=0.0001
Reset #14, asq_eff=2.1e+00, igsq=0.0001
Reset #15, asq_eff=2.1e+00, igsq=0.0001
Steps remaining: 36, asq_eff=2.1e+00, igsq=0.0001
Reset #16, asq_eff=2.0e+00, igsq=0.0001
Reset #17, asq_eff=1.9e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=1.94e+00, N_step=163
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Reset #1, asq_eff=9.1e+00, igsq=0.001
Reset #2, asq_eff=8.4e+00, igsq=0.001
Reset #3, asq_eff=8.7e+00, igsq=0.001
Reset #4, asq_eff=6.4e+00, igsq=0.001
Steps remaining: 77, asq_eff=5.1e+00, igsq=0.001
Reset #5, asq_eff=5.3e+00, igsq=0.001
Reset #6, asq_eff=5.4e+00, igsq=0.001
Reset #7, asq_eff=4.9e+00, igsq=0.001
Reset #8, asq_eff=4.8e+00, igsq=0.001
Reset #9, asq_eff=4.7e+00, igsq=0.001
Reset #10, asq_eff=4.8e+00, igsq=0.001
Reset #11, asq_eff=4.4e+00, igsq=0.001
Reset #12, asq_eff=4.0e+00, igsq=0.001
Reset #13, asq_eff=3.9e+00, igsq=0.001
Reset #14, asq_eff=4.0e+00, igsq=0.001
Reset #15, asq_eff=3.8e+00, igsq=0.001
Reset #16, asq_eff=3.8e+00, igsq=0.001
Reset #17, asq_eff=3.6e+00, igsq=0.001
Reset #18, asq_eff=3.5e+00, igsq=0.001
Reset #19, asq_eff=3.5e+00, igsq=0.001
Reset #20, asq_eff=3.1e+00, igsq=0.001
Reset #21, asq_eff=3.2e+00, igsq=0.001
Reset #22, asq_eff=3.1e+00, igsq=0.001
Reset #23, asq_eff=2.9e+00, igsq=0.001
Steps remaining: 51, asq_eff=2.8e+00, igsq=0.001
Reset #24, asq_eff=2.7e+00, igsq=0.001
Reset #25, asq_eff=2.5e+00, igsq=0.001
Reset #26, asq_eff=2.4e+00, igsq=0.001
Reset #27, asq_eff=2.5e+00, igsq=0.001
Reset #28, asq_eff=2.3e+00, igsq=0.001
Non-optimal solve at igsq=1.00e-03 and asq=2.29e+00, N_step=240
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Reset #1, asq_eff=2.3e+00, igsq=0.01
Reset #2, asq_eff=2.5e+00, igsq=0.01
Reset #3, asq_eff=2.4e+00, igsq=0.01
Reset #4, asq_eff=2.5e+00, igsq=0.01
Reset #5, asq_eff=2.5e+00, igsq=0.01
Reset #6, asq_eff=2.5e+00, igsq=0.01
Reset #7, asq_eff=2.5e+00, igsq=0.01
Steps remaining: 42, asq_eff=2.3e+00, igsq=0.01
Reset #8, asq_eff=2.1e+00, igsq=0.01
Reset #9, asq_eff=2.1e+00, igsq=0.01
Reset #10, asq_eff=1.9e+00, igsq=0.01
Reset #11, asq_eff=1.9e+00, igsq=0.01
Steps remaining: 23, asq_eff=1.6e+00, igsq=0.01
Reset #12, asq_eff=1.6e+00, igsq=0.01
Reset #13, asq_eff=1.6e+00, igsq=0.01
Reset #14, asq_eff=1.6e+00, igsq=0.01
Reset #15, asq_eff=1.5e+00, igsq=0.01
Reset #16, asq_eff=1.5e+00, igsq=0.01
Reset #17, asq_eff=1.4e+00, igsq=0.01
Reset #18, asq_eff=1.4e+00, igsq=0.01
Reset #19, asq_eff=1.4e+00, igsq=0.01
Reset #20, asq_eff=1.4e+00, igsq=0.01
Steps remaining: 17, asq_eff=1.4e+00, igsq=0.01
Reset #21, asq_eff=1.3e+00, igsq=0.01
Reset #22, asq_eff=1.3e+00, igsq=0.01
Reset #23, asq_eff=1.3e+00, igsq=0.01
Reset #24, asq_eff=1.4e+00, igsq=0.01
Reset #25, asq_eff=1.4e+00, igsq=0.01
Reset #26, asq_eff=1.3e+00, igsq=0.01
Reset #27, asq_eff=1.3e+00, igsq=0.01
Reset #28, asq_eff=1.3e+00, igsq=0.01
Reset #29, asq_eff=1.2e+00, igsq=0.01
Reset #30, asq_eff=1.1e+00, igsq=0.01
Reset #31, asq_eff=1.1e+00, igsq=0.01
Reset #32, asq_eff=1.1e+00, igsq=0.01
Reset #33, asq_eff=1.1e+00, igsq=0.01
Steps remaining: 0, asq_eff=1.0e+00, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Reset #1, asq_eff=3.6e+01, igsq=0.95
Reset #2, asq_eff=3.3e+01, igsq=0.95
Reset #3, asq_eff=3.1e+01, igsq=0.95
Reset #4, asq_eff=2.9e+01, igsq=0.95
Reset #5, asq_eff=2.9e+01, igsq=0.95
Reset #6, asq_eff=2.9e+01, igsq=0.95
Reset #7, asq_eff=2.9e+01, igsq=0.95
Reset #8, asq_eff=2.9e+01, igsq=0.95
Reset #9, asq_eff=2.9e+01, igsq=0.95
Reset #10, asq_eff=2.9e+01, igsq=0.95
Reset #11, asq_eff=2.9e+01, igsq=0.95
Steps remaining: 169, asq_eff=2.8e+01, igsq=0.95
Reset #12, asq_eff=2.9e+01, igsq=0.95
Reset #13, asq_eff=2.9e+01, igsq=0.95
Reset #14, asq_eff=2.9e+01, igsq=0.95
Reset #15, asq_eff=2.9e+01, igsq=0.95
Reset #16, asq_eff=2.9e+01, igsq=0.95
Reset #17, asq_eff=2.9e+01, igsq=0.95
Reset #18, asq_eff=2.9e+01, igsq=0.95
Reset #19, asq_eff=2.9e+01, igsq=0.95
Reset #20, asq_eff=2.9e+01, igsq=0.95
Reset #21, asq_eff=2.9e+01, igsq=0.95
Reset #22, asq_eff=2.9e+01, igsq=0.95
Reset #23, asq_eff=2.9e+01, igsq=0.95
Steps remaining: 169, asq_eff=2.8e+01, igsq=0.95
Reset #24, asq_eff=2.9e+01, igsq=0.95
Reset #25, asq_eff=2.9e+01, igsq=0.95
Reset #26, asq_eff=2.9e+01, igsq=0.95
Reset #27, asq_eff=2.9e+01, igsq=0.95
Reset #28, asq_eff=2.9e+01, igsq=0.95
Reset #29, asq_eff=2.9e+01, igsq=0.95
Reset #30, asq_eff=2.9e+01, igsq=0.95
Reset #31, asq_eff=2.9e+01, igsq=0.95
Reset #32, asq_eff=2.9e+01, igsq=0.95
Reset #33, asq_eff=2.9e+01, igsq=0.95
Reset #34, asq_eff=2.9e+01, igsq=0.95
Reset #35, asq_eff=2.8e+01, igsq=0.95
Reset #36, asq_eff=2.9e+01, igsq=0.95
Reset #37, asq_eff=2.9e+01, igsq=0.95
Reset #38, asq_eff=2.9e+01, igsq=0.95
Reset #39, asq_eff=2.9e+01, igsq=0.95
Reset #40, asq_eff=2.9e+01, igsq=0.95
Reset #41, asq_eff=2.9e+01, igsq=0.95
Reset #42, asq_eff=2.9e+01, igsq=0.95
Reset #43, asq_eff=2.8e+01, igsq=0.95
Reset #44, asq_eff=2.9e+01, igsq=0.95
Reset #45, asq_eff=2.8e+01, igsq=0.95
Reset #46, asq_eff=2.9e+01, igsq=0.95
Reset #47, asq_eff=2.8e+01, igsq=0.95
Reset #48, asq_eff=2.9e+01, igsq=0.95
Reset #49, asq_eff=2.8e+01, igsq=0.95
Reset #50, asq_eff=2.9e+01, igsq=0.95
Reset #51, asq_eff=2.8e+01, igsq=0.95
Reset #52, asq_eff=2.9e+01, igsq=0.95
Reset #53, asq_eff=2.8e+01, igsq=0.95
Reset #54, asq_eff=2.9e+01, igsq=0.95
Reset #55, asq_eff=2.8e+01, igsq=0.95
Reset #56, asq_eff=2.9e+01, igsq=0.95
Reset #57, asq_eff=2.8e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=2.85e+01, N_step=240
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  1
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  2
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  3
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  4
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  5
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  6
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  7

LPL []
MPL []
eq37 Before S: 20096.625174421642
eq37  S: 4.2354993392718156e-07
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=1.3e+01, igsq=1e-06
Reset #2, asq_eff=9.9e+00, igsq=1e-06
Reset #3, asq_eff=9.5e+00, igsq=1e-06
Reset #4, asq_eff=9.7e+00, igsq=1e-06
Reset #5, asq_eff=9.6e+00, igsq=1e-06
Reset #6, asq_eff=9.5e+00, igsq=1e-06
Reset #7, asq_eff=9.4e+00, igsq=1e-06
Reset #8, asq_eff=9.5e+00, igsq=1e-06
Reset #9, asq_eff=9.2e+00, igsq=1e-06
Reset #10, asq_eff=9.0e+00, igsq=1e-06
Reset #11, asq_eff=9.1e+00, igsq=1e-06
Reset #12, asq_eff=9.0e+00, igsq=1e-06
Reset #13, asq_eff=9.1e+00, igsq=1e-06
Reset #14, asq_eff=9.2e+00, igsq=1e-06
Reset #15, asq_eff=9.2e+00, igsq=1e-06
Reset #16, asq_eff=9.3e+00, igsq=1e-06
Steps remaining: 109, asq_eff=8.6e+00, igsq=1e-06
Reset #17, asq_eff=8.7e+00, igsq=1e-06
Reset #18, asq_eff=8.5e+00, igsq=1e-06
Reset #19, asq_eff=8.5e+00, igsq=1e-06
Reset #20, asq_eff=8.0e+00, igsq=1e-06
Reset #21, asq_eff=7.6e+00, igsq=1e-06
Reset #22, asq_eff=7.7e+00, igsq=1e-06
Reset #23, asq_eff=7.7e+00, igsq=1e-06
Reset #24, asq_eff=7.8e+00, igsq=1e-06
Reset #25, asq_eff=7.3e+00, igsq=1e-06
Reset #26, asq_eff=7.4e+00, igsq=1e-06
Reset #27, asq_eff=7.4e+00, igsq=1e-06
Reset #28, asq_eff=7.5e+00, igsq=1e-06
Reset #29, asq_eff=7.4e+00, igsq=1e-06
Reset #30, asq_eff=7.5e+00, igsq=1e-06
Reset #31, asq_eff=7.4e+00, igsq=1e-06
Steps remaining: 98, asq_eff=7.0e+00, igsq=1e-06
Reset #32, asq_eff=7.2e+00, igsq=1e-06
Reset #33, asq_eff=7.3e+00, igsq=1e-06
Reset #34, asq_eff=7.4e+00, igsq=1e-06
Reset #35, asq_eff=7.4e+00, igsq=1e-06
Reset #36, asq_eff=6.9e+00, igsq=1e-06
Reset #37, asq_eff=7.0e+00, igsq=1e-06
Reset #38, asq_eff=7.1e+00, igsq=1e-06
Reset #39, asq_eff=7.1e+00, igsq=1e-06
Steps remaining: 98, asq_eff=7.0e+00, igsq=1e-06
Reset #40, asq_eff=6.9e+00, igsq=1e-06
Reset #41, asq_eff=7.0e+00, igsq=1e-06
Reset #42, asq_eff=7.1e+00, igsq=1e-06
Reset #43, asq_eff=6.6e+00, igsq=1e-06
Reset #44, asq_eff=6.7e+00, igsq=1e-06
Reset #45, asq_eff=6.7e+00, igsq=1e-06
Reset #46, asq_eff=6.8e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=6.80e+00, N_step=274
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=2.5e+01, igsq=1e-05
Reset #2, asq_eff=2.3e+01, igsq=1e-05
Reset #3, asq_eff=1.5e+01, igsq=1e-05
Reset #4, asq_eff=1.4e+01, igsq=1e-05
Reset #5, asq_eff=1.4e+01, igsq=1e-05
Reset #6, asq_eff=1.4e+01, igsq=1e-05
Reset #7, asq_eff=1.3e+01, igsq=1e-05
Steps remaining: 128, asq_eff=1.3e+01, igsq=1e-05
Reset #8, asq_eff=1.3e+01, igsq=1e-05
Reset #9, asq_eff=1.3e+01, igsq=1e-05
Reset #10, asq_eff=1.3e+01, igsq=1e-05
Reset #11, asq_eff=1.2e+01, igsq=1e-05
Reset #12, asq_eff=1.2e+01, igsq=1e-05
Reset #13, asq_eff=1.2e+01, igsq=1e-05
Reset #14, asq_eff=1.1e+01, igsq=1e-05
Reset #15, asq_eff=1.2e+01, igsq=1e-05
Steps remaining: 123, asq_eff=1.1e+01, igsq=1e-05
Reset #16, asq_eff=1.1e+01, igsq=1e-05
Reset #17, asq_eff=1.1e+01, igsq=1e-05
Reset #18, asq_eff=1.0e+01, igsq=1e-05
Reset #19, asq_eff=1.0e+01, igsq=1e-05
Reset #20, asq_eff=1.0e+01, igsq=1e-05
Steps remaining: 110, asq_eff=8.8e+00, igsq=1e-05
Reset #21, asq_eff=9.1e+00, igsq=1e-05
Reset #22, asq_eff=9.2e+00, igsq=1e-05
Reset #23, asq_eff=9.3e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=9.29e+00, N_step=193
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=1.8e+01, igsq=0.0001
Reset #2, asq_eff=1.7e+01, igsq=0.0001
Reset #3, asq_eff=1.0e+01, igsq=0.0001
Reset #4, asq_eff=1.0e+01, igsq=0.0001
Reset #5, asq_eff=1.0e+01, igsq=0.0001
Reset #6, asq_eff=1.0e+01, igsq=0.0001
Steps remaining: 115, asq_eff=9.8e+00, igsq=0.0001
Reset #7, asq_eff=8.9e+00, igsq=0.0001
Reset #8, asq_eff=8.8e+00, igsq=0.0001
Reset #9, asq_eff=7.5e+00, igsq=0.0001
Reset #10, asq_eff=7.5e+00, igsq=0.0001
Reset #11, asq_eff=7.3e+00, igsq=0.0001
Steps remaining: 100, asq_eff=7.2e+00, igsq=0.0001
Reset #12, asq_eff=6.7e+00, igsq=0.0001
Reset #13, asq_eff=6.6e+00, igsq=0.0001
Reset #14, asq_eff=6.6e+00, igsq=0.0001
Reset #15, asq_eff=6.5e+00, igsq=0.0001
Reset #16, asq_eff=6.4e+00, igsq=0.0001
Reset #17, asq_eff=6.5e+00, igsq=0.0001
Reset #18, asq_eff=6.4e+00, igsq=0.0001
Steps remaining: 92, asq_eff=6.2e+00, igsq=0.0001
Reset #19, asq_eff=6.3e+00, igsq=0.0001
Reset #20, asq_eff=6.3e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=6.31e+00, N_step=189
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Reset #1, asq_eff=6.5e+00, igsq=0.001
Reset #2, asq_eff=6.0e+00, igsq=0.001
Reset #3, asq_eff=5.7e+00, igsq=0.001
Reset #4, asq_eff=5.8e+00, igsq=0.001
Non-optimal solve at igsq=1.00e-03 and asq=5.84e+00, N_step=109
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Reset #1, asq_eff=5.0e+01, igsq=0.95
Reset #2, asq_eff=4.6e+01, igsq=0.95
Reset #3, asq_eff=4.4e+01, igsq=0.95
Reset #4, asq_eff=4.1e+01, igsq=0.95
Reset #5, asq_eff=4.0e+01, igsq=0.95
Reset #6, asq_eff=4.0e+01, igsq=0.95
Reset #7, asq_eff=4.0e+01, igsq=0.95
Reset #8, asq_eff=4.0e+01, igsq=0.95
Reset #9, asq_eff=4.0e+01, igsq=0.95
Reset #10, asq_eff=4.0e+01, igsq=0.95
Reset #11, asq_eff=4.0e+01, igsq=0.95
Steps remaining: 185, asq_eff=3.9e+01, igsq=0.95
Reset #12, asq_eff=4.0e+01, igsq=0.95
Reset #13, asq_eff=4.0e+01, igsq=0.95
Reset #14, asq_eff=4.0e+01, igsq=0.95
Reset #15, asq_eff=4.0e+01, igsq=0.95
Reset #16, asq_eff=4.0e+01, igsq=0.95
Reset #17, asq_eff=4.0e+01, igsq=0.95
Reset #18, asq_eff=4.0e+01, igsq=0.95
Reset #19, asq_eff=4.0e+01, igsq=0.95
Reset #20, asq_eff=4.0e+01, igsq=0.95
Reset #21, asq_eff=4.0e+01, igsq=0.95
Reset #22, asq_eff=4.0e+01, igsq=0.95
Reset #23, asq_eff=4.0e+01, igsq=0.95
Steps remaining: 185, asq_eff=3.9e+01, igsq=0.95
Reset #24, asq_eff=4.0e+01, igsq=0.95
Reset #25, asq_eff=4.0e+01, igsq=0.95
Reset #26, asq_eff=4.0e+01, igsq=0.95
Reset #27, asq_eff=4.0e+01, igsq=0.95
Reset #28, asq_eff=4.0e+01, igsq=0.95
Reset #29, asq_eff=4.0e+01, igsq=0.95
Reset #30, asq_eff=4.0e+01, igsq=0.95
Reset #31, asq_eff=4.0e+01, igsq=0.95
Reset #32, asq_eff=4.0e+01, igsq=0.95
Reset #33, asq_eff=4.0e+01, igsq=0.95
Reset #34, asq_eff=4.0e+01, igsq=0.95
Reset #35, asq_eff=4.0e+01, igsq=0.95
Steps remaining: 185, asq_eff=3.9e+01, igsq=0.95
Reset #36, asq_eff=4.0e+01, igsq=0.95
Reset #37, asq_eff=4.0e+01, igsq=0.95
Reset #38, asq_eff=4.0e+01, igsq=0.95
Reset #39, asq_eff=4.0e+01, igsq=0.95
Reset #40, asq_eff=4.0e+01, igsq=0.95
Reset #41, asq_eff=4.0e+01, igsq=0.95
Reset #42, asq_eff=4.0e+01, igsq=0.95
Reset #43, asq_eff=4.0e+01, igsq=0.95
Reset #44, asq_eff=4.0e+01, igsq=0.95
Reset #45, asq_eff=4.0e+01, igsq=0.95
Reset #46, asq_eff=4.0e+01, igsq=0.95
Reset #47, asq_eff=4.0e+01, igsq=0.95
Steps remaining: 185, asq_eff=3.9e+01, igsq=0.95
Reset #48, asq_eff=4.0e+01, igsq=0.95
Reset #49, asq_eff=4.0e+01, igsq=0.95
Reset #50, asq_eff=4.0e+01, igsq=0.95
Reset #51, asq_eff=4.0e+01, igsq=0.95
Reset #52, asq_eff=4.0e+01, igsq=0.95
Reset #53, asq_eff=4.0e+01, igsq=0.95
Reset #54, asq_eff=4.0e+01, igsq=0.95
Reset #55, asq_eff=4.0e+01, igsq=0.95
Reset #56, asq_eff=4.0e+01, igsq=0.95
Reset #57, asq_eff=4.0e+01, igsq=0.95
Reset #58, asq_eff=4.0e+01, igsq=0.95
Reset #59, asq_eff=4.0e+01, igsq=0.95
Reset #60, asq_eff=4.0e+01, igsq=0.95
Reset #61, asq_eff=4.0e+01, igsq=0.95
Reset #62, asq_eff=4.0e+01, igsq=0.95
Reset #63, asq_eff=4.0e+01, igsq=0.95
Reset #64, asq_eff=4.0e+01, igsq=0.95
Reset #65, asq_eff=4.0e+01, igsq=0.95
Reset #66, asq_eff=4.0e+01, igsq=0.95
Reset #67, asq_eff=4.0e+01, igsq=0.95
Reset #68, asq_eff=4.0e+01, igsq=0.95
Reset #69, asq_eff=4.0e+01, igsq=0.95
Reset #70, asq_eff=4.0e+01, igsq=0.95
Reset #71, asq_eff=4.0e+01, igsq=0.95
Reset #72, asq_eff=4.0e+01, igsq=0.95
Reset #73, asq_eff=4.0e+01, igsq=0.95
Reset #74, asq_eff=4.0e+01, igsq=0.95
Reset #75, asq_eff=4.0e+01, igsq=0.95
Reset #76, asq_eff=4.0e+01, igsq=0.95
Reset #77, asq_eff=4.0e+01, igsq=0.95
Reset #78, asq_eff=4.0e+01, igsq=0.95
Reset #79, asq_eff=4.0e+01, igsq=0.95
Reset #80, asq_eff=4.0e+01, igsq=0.95
Reset #81, asq_eff=4.0e+01, igsq=0.95
Reset #82, asq_eff=4.0e+01, igsq=0.95
Reset #83, asq_eff=4.0e+01, igsq=0.95
Non-optimal solve at igsq=9.50e-01 and asq=3.92e+01, N_step=301
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  8
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  9
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  10
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  11
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  12
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  13
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  14

LPL []
MPL []
eq37 Before S: 96099.69178310157
eq37  S: 4.0117386834577154e-07
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Reset #1, asq_eff=5.0e+01, igsq=1e-06
Reset #2, asq_eff=1.7e+01, igsq=1e-06
Reset #3, asq_eff=1.3e+01, igsq=1e-06
Reset #4, asq_eff=1.3e+01, igsq=1e-06
Reset #5, asq_eff=1.3e+01, igsq=1e-06
Reset #6, asq_eff=1.3e+01, igsq=1e-06
Reset #7, asq_eff=1.2e+01, igsq=1e-06
Reset #8, asq_eff=1.1e+01, igsq=1e-06
Reset #9, asq_eff=1.1e+01, igsq=1e-06
Reset #10, asq_eff=1.1e+01, igsq=1e-06
Reset #11, asq_eff=1.2e+01, igsq=1e-06
Reset #12, asq_eff=1.2e+01, igsq=1e-06
Reset #13, asq_eff=1.2e+01, igsq=1e-06
Reset #14, asq_eff=1.1e+01, igsq=1e-06
Reset #15, asq_eff=1.1e+01, igsq=1e-06
Reset #16, asq_eff=1.1e+01, igsq=1e-06
Reset #17, asq_eff=1.1e+01, igsq=1e-06
Reset #18, asq_eff=1.1e+01, igsq=1e-06
Reset #19, asq_eff=1.1e+01, igsq=1e-06
Reset #20, asq_eff=1.1e+01, igsq=1e-06
Steps remaining: 117, asq_eff=1.0e+01, igsq=1e-06
Reset #21, asq_eff=1.0e+01, igsq=1e-06
Reset #22, asq_eff=1.0e+01, igsq=1e-06
Reset #23, asq_eff=1.0e+01, igsq=1e-06
Reset #24, asq_eff=9.9e+00, igsq=1e-06
Reset #25, asq_eff=9.6e+00, igsq=1e-06
Reset #26, asq_eff=9.7e+00, igsq=1e-06
Reset #27, asq_eff=9.6e+00, igsq=1e-06
Reset #28, asq_eff=9.7e+00, igsq=1e-06
Reset #29, asq_eff=9.8e+00, igsq=1e-06
Reset #30, asq_eff=9.7e+00, igsq=1e-06
Reset #31, asq_eff=9.8e+00, igsq=1e-06
Reset #32, asq_eff=9.7e+00, igsq=1e-06
Reset #33, asq_eff=9.6e+00, igsq=1e-06
Reset #34, asq_eff=9.7e+00, igsq=1e-06
Reset #35, asq_eff=9.6e+00, igsq=1e-06
Reset #36, asq_eff=9.5e+00, igsq=1e-06
Reset #37, asq_eff=9.6e+00, igsq=1e-06
Reset #38, asq_eff=9.7e+00, igsq=1e-06
Steps remaining: 113, asq_eff=9.4e+00, igsq=1e-06
Reset #39, asq_eff=9.5e+00, igsq=1e-06
Reset #40, asq_eff=9.4e+00, igsq=1e-06
Reset #41, asq_eff=9.5e+00, igsq=1e-06
Reset #42, asq_eff=9.4e+00, igsq=1e-06
Reset #43, asq_eff=9.5e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=9.45e+00, N_step=257
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Reset #1, asq_eff=9.9e+01, igsq=1e-05
Steps remaining: 25, asq_eff=7.0e+01, igsq=1e-05
Reset #2, asq_eff=2.8e+01, igsq=1e-05
Reset #3, asq_eff=2.6e+01, igsq=1e-05
Reset #4, asq_eff=2.6e+01, igsq=1e-05
Reset #5, asq_eff=2.6e+01, igsq=1e-05
Reset #6, asq_eff=2.6e+01, igsq=1e-05
Reset #7, asq_eff=2.4e+01, igsq=1e-05
Reset #8, asq_eff=2.4e+01, igsq=1e-05
Reset #9, asq_eff=2.5e+01, igsq=1e-05
Reset #10, asq_eff=2.3e+01, igsq=1e-05
Reset #11, asq_eff=2.2e+01, igsq=1e-05
Reset #12, asq_eff=2.1e+01, igsq=1e-05
Reset #13, asq_eff=2.1e+01, igsq=1e-05
Reset #14, asq_eff=2.1e+01, igsq=1e-05
Reset #15, asq_eff=2.1e+01, igsq=1e-05
Reset #16, asq_eff=2.1e+01, igsq=1e-05
Reset #17, asq_eff=2.0e+01, igsq=1e-05
Reset #18, asq_eff=2.0e+01, igsq=1e-05
Reset #19, asq_eff=2.1e+01, igsq=1e-05
Reset #20, asq_eff=2.0e+01, igsq=1e-05
Reset #21, asq_eff=2.0e+01, igsq=1e-05
Reset #22, asq_eff=2.0e+01, igsq=1e-05
Reset #23, asq_eff=2.0e+01, igsq=1e-05
Reset #24, asq_eff=2.0e+01, igsq=1e-05
Steps remaining: 150, asq_eff=2.0e+01, igsq=1e-05
Reset #25, asq_eff=2.0e+01, igsq=1e-05
Reset #26, asq_eff=2.0e+01, igsq=1e-05
Reset #27, asq_eff=2.1e+01, igsq=1e-05
Reset #28, asq_eff=2.1e+01, igsq=1e-05
Reset #29, asq_eff=1.9e+01, igsq=1e-05
Reset #30, asq_eff=2.0e+01, igsq=1e-05
Reset #31, asq_eff=2.0e+01, igsq=1e-05
Reset #32, asq_eff=2.0e+01, igsq=1e-05
Reset #33, asq_eff=2.0e+01, igsq=1e-05
Steps remaining: 150, asq_eff=1.9e+01, igsq=1e-05
Reset #34, asq_eff=2.0e+01, igsq=1e-05
Reset #35, asq_eff=1.9e+01, igsq=1e-05
Reset #36, asq_eff=1.9e+01, igsq=1e-05
Reset #37, asq_eff=1.9e+01, igsq=1e-05
Reset #38, asq_eff=1.9e+01, igsq=1e-05
Reset #39, asq_eff=1.9e+01, igsq=1e-05
Reset #40, asq_eff=1.9e+01, igsq=1e-05
Reset #41, asq_eff=1.9e+01, igsq=1e-05
Reset #42, asq_eff=1.9e+01, igsq=1e-05
Reset #43, asq_eff=1.9e+01, igsq=1e-05
Steps remaining: 148, asq_eff=1.9e+01, igsq=1e-05
Reset #44, asq_eff=1.8e+01, igsq=1e-05
Reset #45, asq_eff=1.8e+01, igsq=1e-05
Reset #46, asq_eff=1.8e+01, igsq=1e-05
Reset #47, asq_eff=1.8e+01, igsq=1e-05
Reset #48, asq_eff=1.8e+01, igsq=1e-05
Reset #49, asq_eff=1.8e+01, igsq=1e-05
Reset #50, asq_eff=1.7e+01, igsq=1e-05
Steps remaining: 136, asq_eff=1.5e+01, igsq=1e-05
Reset #51, asq_eff=1.5e+01, igsq=1e-05
Reset #52, asq_eff=1.5e+01, igsq=1e-05
Reset #53, asq_eff=1.4e+01, igsq=1e-05
Reset #54, asq_eff=1.4e+01, igsq=1e-05
Reset #55, asq_eff=1.4e+01, igsq=1e-05
Reset #56, asq_eff=1.5e+01, igsq=1e-05
Reset #57, asq_eff=1.4e+01, igsq=1e-05
Reset #58, asq_eff=1.5e+01, igsq=1e-05
Reset #59, asq_eff=1.5e+01, igsq=1e-05
Steps remaining: 134, asq_eff=1.4e+01, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=1.39e+01, N_step=301
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=2.5e+01, igsq=0.0001
Reset #2, asq_eff=2.3e+01, igsq=0.0001
Reset #3, asq_eff=2.2e+01, igsq=0.0001
Reset #4, asq_eff=2.3e+01, igsq=0.0001
Reset #5, asq_eff=2.3e+01, igsq=0.0001
Reset #6, asq_eff=2.3e+01, igsq=0.0001
Reset #7, asq_eff=2.3e+01, igsq=0.0001
Reset #8, asq_eff=2.4e+01, igsq=0.0001
Reset #9, asq_eff=2.2e+01, igsq=0.0001
Steps remaining: 152, asq_eff=2.0e+01, igsq=0.0001
Reset #10, asq_eff=1.9e+01, igsq=0.0001
Reset #11, asq_eff=1.9e+01, igsq=0.0001
Reset #12, asq_eff=1.8e+01, igsq=0.0001
Reset #13, asq_eff=1.8e+01, igsq=0.0001
Reset #14, asq_eff=1.7e+01, igsq=0.0001
Reset #15, asq_eff=1.7e+01, igsq=0.0001
Reset #16, asq_eff=1.7e+01, igsq=0.0001
Reset #17, asq_eff=1.5e+01, igsq=0.0001
Reset #18, asq_eff=1.3e+01, igsq=0.0001
Reset #19, asq_eff=1.3e+01, igsq=0.0001
Steps remaining: 125, asq_eff=1.2e+01, igsq=0.0001
Reset #20, asq_eff=1.2e+01, igsq=0.0001
Reset #21, asq_eff=1.2e+01, igsq=0.0001
Reset #22, asq_eff=1.1e+01, igsq=0.0001
Reset #23, asq_eff=1.1e+01, igsq=0.0001
Reset #24, asq_eff=1.1e+01, igsq=0.0001
Reset #25, asq_eff=1.1e+01, igsq=0.0001
Reset #26, asq_eff=1.1e+01, igsq=0.0001
Reset #27, asq_eff=1.0e+01, igsq=0.0001
Reset #28, asq_eff=1.1e+01, igsq=0.0001
Reset #29, asq_eff=1.0e+01, igsq=0.0001
Reset #30, asq_eff=1.1e+01, igsq=0.0001
Reset #31, asq_eff=1.0e+01, igsq=0.0001
Reset #32, asq_eff=1.1e+01, igsq=0.0001
Reset #33, asq_eff=1.0e+01, igsq=0.0001
Reset #34, asq_eff=9.5e+00, igsq=0.0001
Reset #35, asq_eff=9.6e+00, igsq=0.0001
Reset #36, asq_eff=9.7e+00, igsq=0.0001
Reset #37, asq_eff=9.8e+00, igsq=0.0001
Reset #38, asq_eff=9.3e+00, igsq=0.0001
Reset #39, asq_eff=9.4e+00, igsq=0.0001
Reset #40, asq_eff=9.2e+00, igsq=0.0001
Reset #41, asq_eff=8.9e+00, igsq=0.0001
Reset #42, asq_eff=9.0e+00, igsq=0.0001
Reset #43, asq_eff=8.9e+00, igsq=0.0001
Reset #44, asq_eff=8.5e+00, igsq=0.0001
Reset #45, asq_eff=8.4e+00, igsq=0.0001
Reset #46, asq_eff=8.5e+00, igsq=0.0001
Reset #47, asq_eff=8.5e+00, igsq=0.0001
Reset #48, asq_eff=8.1e+00, igsq=0.0001
Reset #49, asq_eff=8.1e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=7.90e+00, N_step=301
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Non-optimal solve at igsq=6.06e-01 and asq=1.00e+00, N_step=105
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Reset #1, asq_eff=7.0e+01, igsq=0.95
Steps remaining: 24, asq_eff=5.9e+01, igsq=0.95
Reset #2, asq_eff=6.4e+01, igsq=0.95
Reset #3, asq_eff=5.7e+01, igsq=0.95
Reset #4, asq_eff=5.3e+01, igsq=0.95
Reset #5, asq_eff=5.2e+01, igsq=0.95
Reset #6, asq_eff=5.2e+01, igsq=0.95
Reset #7, asq_eff=5.2e+01, igsq=0.95
Reset #8, asq_eff=5.2e+01, igsq=0.95
Reset #9, asq_eff=5.2e+01, igsq=0.95
Reset #10, asq_eff=5.2e+01, igsq=0.95
Reset #11, asq_eff=5.2e+01, igsq=0.95
Steps remaining: 198, asq_eff=5.1e+01, igsq=0.95
Reset #12, asq_eff=5.2e+01, igsq=0.95
Reset #13, asq_eff=5.2e+01, igsq=0.95
Reset #14, asq_eff=5.2e+01, igsq=0.95
Reset #15, asq_eff=5.2e+01, igsq=0.95
Reset #16, asq_eff=5.2e+01, igsq=0.95
Reset #17, asq_eff=5.2e+01, igsq=0.95
Reset #18, asq_eff=5.2e+01, igsq=0.95
Reset #19, asq_eff=5.2e+01, igsq=0.95
Reset #20, asq_eff=5.2e+01, igsq=0.95
Reset #21, asq_eff=5.2e+01, igsq=0.95
Reset #22, asq_eff=5.2e+01, igsq=0.95
Reset #23, asq_eff=5.2e+01, igsq=0.95
Steps remaining: 198, asq_eff=5.1e+01, igsq=0.95
Reset #24, asq_eff=5.2e+01, igsq=0.95
Reset #25, asq_eff=5.2e+01, igsq=0.95
Reset #26, asq_eff=5.2e+01, igsq=0.95
Reset #27, asq_eff=5.2e+01, igsq=0.95
Reset #28, asq_eff=5.2e+01, igsq=0.95
Reset #29, asq_eff=5.3e+01, igsq=0.95
Reset #30, asq_eff=5.2e+01, igsq=0.95
Reset #31, asq_eff=5.2e+01, igsq=0.95
Reset #32, asq_eff=5.2e+01, igsq=0.95
Reset #33, asq_eff=5.2e+01, igsq=0.95
Reset #34, asq_eff=5.2e+01, igsq=0.95
Reset #35, asq_eff=5.2e+01, igsq=0.95
Steps remaining: 198, asq_eff=5.1e+01, igsq=0.95
Reset #36, asq_eff=5.2e+01, igsq=0.95
Reset #37, asq_eff=5.2e+01, igsq=0.95
Reset #38, asq_eff=5.2e+01, igsq=0.95
Reset #39, asq_eff=5.2e+01, igsq=0.95
Reset #40, asq_eff=5.2e+01, igsq=0.95
Reset #41, asq_eff=5.2e+01, igsq=0.95
Reset #42, asq_eff=5.2e+01, igsq=0.95
Reset #43, asq_eff=5.2e+01, igsq=0.95
Reset #44, asq_eff=5.2e+01, igsq=0.95
Reset #45, asq_eff=5.2e+01, igsq=0.95
Reset #46, asq_eff=5.2e+01, igsq=0.95
Reset #47, asq_eff=5.2e+01, igsq=0.95
Steps remaining: 198, asq_eff=5.1e+01, igsq=0.95
Reset #48, asq_eff=5.2e+01, igsq=0.95
Reset #49, asq_eff=5.2e+01, igsq=0.95
Reset #50, asq_eff=5.2e+01, igsq=0.95
Reset #51, asq_eff=5.2e+01, igsq=0.95
Reset #52, asq_eff=5.2e+01, igsq=0.95
Reset #53, asq_eff=5.3e+01, igsq=0.95
Reset #54, asq_eff=5.2e+01, igsq=0.95
Reset #55, asq_eff=5.2e+01, igsq=0.95
Reset #56, asq_eff=5.2e+01, igsq=0.95
Reset #57, asq_eff=5.2e+01, igsq=0.95
Reset #58, asq_eff=5.2e+01, igsq=0.95
Reset #59, asq_eff=5.2e+01, igsq=0.95
Reset #60, asq_eff=5.2e+01, igsq=0.95
Reset #61, asq_eff=5.2e+01, igsq=0.95
Reset #62, asq_eff=5.2e+01, igsq=0.95
Reset #63, asq_eff=5.2e+01, igsq=0.95
Reset #64, asq_eff=5.2e+01, igsq=0.95
Reset #65, asq_eff=5.2e+01, igsq=0.95
Reset #66, asq_eff=5.2e+01, igsq=0.95
Reset #67, asq_eff=5.2e+01, igsq=0.95
Reset #68, asq_eff=5.2e+01, igsq=0.95
Reset #69, asq_eff=5.2e+01, igsq=0.95
Reset #70, asq_eff=5.2e+01, igsq=0.95
Reset #71, asq_eff=5.2e+01, igsq=0.95
Reset #72, asq_eff=5.2e+01, igsq=0.95
Reset #73, asq_eff=5.2e+01, igsq=0.95
Reset #74, asq_eff=5.2e+01, igsq=0.95
Reset #75, asq_eff=5.2e+01, igsq=0.95
Reset #76, asq_eff=5.2e+01, igsq=0.95
Reset #77, asq_eff=5.2e+01, igsq=0.95
Reset #78, asq_eff=5.2e+01, igsq=0.95
Reset #79, asq_eff=5.2e+01, igsq=0.95
Reset #80, asq_eff=5.2e+01, igsq=0.95
Reset #81, asq_eff=5.2e+01, igsq=0.95
Reset #82, asq_eff=5.2e+01, igsq=0.95
Non-optimal solve at igsq=9.50e-01 and asq=5.11e+01, N_step=301
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  15
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  16
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  17
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  18
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  19
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  20
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  21

LPL []
MPL []
eq37 Before S: 459542.50130252715
eq37  S: 9.29032149525549e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Reset #1, asq_eff=2.7e+02, igsq=1e-06
Steps remaining: 28, asq_eff=1.2e+02, igsq=1e-06
Reset #2, asq_eff=1.3e+02, igsq=1e-06
Reset #3, asq_eff=7.3e+01, igsq=1e-06
Reset #4, asq_eff=7.5e+01, igsq=1e-06
Reset #5, asq_eff=7.1e+01, igsq=1e-06
Reset #6, asq_eff=7.2e+01, igsq=1e-06
Reset #7, asq_eff=6.7e+01, igsq=1e-06
Steps remaining: 210, asq_eff=6.4e+01, igsq=1e-06
Reset #8, asq_eff=6.5e+01, igsq=1e-06
Reset #9, asq_eff=6.6e+01, igsq=1e-06
Reset #10, asq_eff=6.5e+01, igsq=1e-06
Reset #11, asq_eff=6.6e+01, igsq=1e-06
Reset #12, asq_eff=6.5e+01, igsq=1e-06
Reset #13, asq_eff=6.6e+01, igsq=1e-06
Reset #14, asq_eff=6.6e+01, igsq=1e-06
Reset #15, asq_eff=6.4e+01, igsq=1e-06
Reset #16, asq_eff=6.2e+01, igsq=1e-06
Reset #17, asq_eff=6.1e+01, igsq=1e-06
Reset #18, asq_eff=6.1e+01, igsq=1e-06
Reset #19, asq_eff=6.1e+01, igsq=1e-06
Reset #20, asq_eff=6.1e+01, igsq=1e-06
Reset #21, asq_eff=5.9e+01, igsq=1e-06
Reset #22, asq_eff=5.9e+01, igsq=1e-06
Reset #23, asq_eff=5.9e+01, igsq=1e-06
Reset #24, asq_eff=5.9e+01, igsq=1e-06
Reset #25, asq_eff=5.7e+01, igsq=1e-06
Reset #26, asq_eff=5.3e+01, igsq=1e-06
Reset #27, asq_eff=5.0e+01, igsq=1e-06
Reset #28, asq_eff=4.9e+01, igsq=1e-06
Reset #29, asq_eff=5.0e+01, igsq=1e-06
Reset #30, asq_eff=4.9e+01, igsq=1e-06
Reset #31, asq_eff=4.9e+01, igsq=1e-06
Reset #32, asq_eff=4.9e+01, igsq=1e-06
Reset #33, asq_eff=4.7e+01, igsq=1e-06
Reset #34, asq_eff=4.6e+01, igsq=1e-06
Reset #35, asq_eff=4.7e+01, igsq=1e-06
Reset #36, asq_eff=4.6e+01, igsq=1e-06
Reset #37, asq_eff=4.7e+01, igsq=1e-06
Reset #38, asq_eff=4.4e+01, igsq=1e-06
Reset #39, asq_eff=4.4e+01, igsq=1e-06
Steps remaining: 190, asq_eff=4.3e+01, igsq=1e-06
Reset #40, asq_eff=4.5e+01, igsq=1e-06
Reset #41, asq_eff=4.3e+01, igsq=1e-06
Reset #42, asq_eff=4.4e+01, igsq=1e-06
Reset #43, asq_eff=4.4e+01, igsq=1e-06
Reset #44, asq_eff=4.5e+01, igsq=1e-06
Reset #45, asq_eff=4.5e+01, igsq=1e-06
Reset #46, asq_eff=4.5e+01, igsq=1e-06
Reset #47, asq_eff=4.4e+01, igsq=1e-06
Steps remaining: 185, asq_eff=3.9e+01, igsq=1e-06
Reset #48, asq_eff=3.9e+01, igsq=1e-06
Reset #49, asq_eff=3.8e+01, igsq=1e-06
Reset #50, asq_eff=3.8e+01, igsq=1e-06
Reset #51, asq_eff=3.8e+01, igsq=1e-06
Reset #52, asq_eff=3.8e+01, igsq=1e-06
Reset #53, asq_eff=3.8e+01, igsq=1e-06
Reset #54, asq_eff=3.7e+01, igsq=1e-06
Reset #55, asq_eff=3.6e+01, igsq=1e-06
Reset #56, asq_eff=3.7e+01, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=3.58e+01, N_step=302
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Reset #1, asq_eff=1.4e+02, igsq=1e-05
Steps remaining: 26, asq_eff=8.3e+01, igsq=1e-05
Reset #2, asq_eff=7.6e+01, igsq=1e-05
Reset #3, asq_eff=5.2e+01, igsq=1e-05
Reset #4, asq_eff=4.5e+01, igsq=1e-05
Reset #5, asq_eff=4.4e+01, igsq=1e-05
Reset #6, asq_eff=4.5e+01, igsq=1e-05
Steps remaining: 184, asq_eff=3.8e+01, igsq=1e-05
Reset #7, asq_eff=3.9e+01, igsq=1e-05
Reset #8, asq_eff=3.8e+01, igsq=1e-05
Reset #9, asq_eff=3.6e+01, igsq=1e-05
Reset #10, asq_eff=3.6e+01, igsq=1e-05
Reset #11, asq_eff=3.6e+01, igsq=1e-05
Reset #12, asq_eff=3.6e+01, igsq=1e-05
Reset #13, asq_eff=3.6e+01, igsq=1e-05
Reset #14, asq_eff=3.6e+01, igsq=1e-05
Steps remaining: 180, asq_eff=3.5e+01, igsq=1e-05
Reset #15, asq_eff=3.6e+01, igsq=1e-05
Reset #16, asq_eff=3.5e+01, igsq=1e-05
Reset #17, asq_eff=3.6e+01, igsq=1e-05
Reset #18, asq_eff=3.3e+01, igsq=1e-05
Reset #19, asq_eff=3.2e+01, igsq=1e-05
Reset #20, asq_eff=3.2e+01, igsq=1e-05
Reset #21, asq_eff=2.8e+01, igsq=1e-05
Reset #22, asq_eff=2.7e+01, igsq=1e-05
Reset #23, asq_eff=2.8e+01, igsq=1e-05
Reset #24, asq_eff=2.8e+01, igsq=1e-05
Reset #25, asq_eff=2.8e+01, igsq=1e-05
Reset #26, asq_eff=2.8e+01, igsq=1e-05
Reset #27, asq_eff=2.8e+01, igsq=1e-05
Reset #28, asq_eff=2.8e+01, igsq=1e-05
Reset #29, asq_eff=2.9e+01, igsq=1e-05
Reset #30, asq_eff=2.9e+01, igsq=1e-05
Reset #31, asq_eff=2.9e+01, igsq=1e-05
Steps remaining: 170, asq_eff=2.9e+01, igsq=1e-05
Reset #32, asq_eff=2.9e+01, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=2.90e+01, N_step=217
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Reset #1, asq_eff=1.7e+00, igsq=0.15687174265360496
Reset #2, asq_eff=1.3e+00, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Reset #1, asq_eff=4.6e+00, igsq=0.38604164998212914
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=3.86e-01 and asq=4.62e+00, N_step=102
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Reset #1, asq_eff=1.4e+02, igsq=0.605590263695696
Reset #2, asq_eff=1.5e+02, igsq=0.605590263695696
Steps remaining: 58, asq_eff=1.4e+02, igsq=0.605590263695696
Steps remaining: 28, asq_eff=1.1e+01, igsq=0.605590263695696
Reset #3, asq_eff=8.7e+00, igsq=0.605590263695696
Reset #4, asq_eff=7.9e+00, igsq=0.605590263695696
Reset #5, asq_eff=7.9e+00, igsq=0.605590263695696
Reset #6, asq_eff=8.0e+00, igsq=0.605590263695696
Reset #7, asq_eff=8.1e+00, igsq=0.605590263695696
Reset #8, asq_eff=8.0e+00, igsq=0.605590263695696
Reset #9, asq_eff=8.1e+00, igsq=0.605590263695696
Reset #10, asq_eff=7.9e+00, igsq=0.605590263695696
Reset #11, asq_eff=7.8e+00, igsq=0.605590263695696
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=6.06e-01 and asq=7.79e+00, N_step=154
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Reset #1, asq_eff=9.9e+01, igsq=0.95
Steps remaining: 25, asq_eff=7.0e+01, igsq=0.95
Reset #2, asq_eff=9.1e+01, igsq=0.95
Reset #3, asq_eff=6.7e+01, igsq=0.95
Reset #4, asq_eff=6.3e+01, igsq=0.95
Reset #5, asq_eff=6.2e+01, igsq=0.95
Reset #6, asq_eff=6.2e+01, igsq=0.95
Reset #7, asq_eff=6.2e+01, igsq=0.95
Reset #8, asq_eff=6.2e+01, igsq=0.95
Reset #9, asq_eff=6.2e+01, igsq=0.95
Reset #10, asq_eff=6.2e+01, igsq=0.95
Reset #11, asq_eff=6.2e+01, igsq=0.95
Reset #12, asq_eff=6.2e+01, igsq=0.95
Reset #13, asq_eff=6.2e+01, igsq=0.95
Reset #14, asq_eff=6.2e+01, igsq=0.95
Reset #15, asq_eff=6.2e+01, igsq=0.95
Reset #16, asq_eff=6.2e+01, igsq=0.95
Reset #17, asq_eff=6.2e+01, igsq=0.95
Reset #18, asq_eff=6.2e+01, igsq=0.95
Reset #19, asq_eff=6.2e+01, igsq=0.95
Reset #20, asq_eff=6.2e+01, igsq=0.95
Reset #21, asq_eff=6.2e+01, igsq=0.95
Reset #22, asq_eff=6.2e+01, igsq=0.95
Reset #23, asq_eff=6.2e+01, igsq=0.95
Reset #24, asq_eff=6.2e+01, igsq=0.95
Reset #25, asq_eff=6.2e+01, igsq=0.95
Reset #26, asq_eff=6.2e+01, igsq=0.95
Reset #27, asq_eff=6.2e+01, igsq=0.95
Reset #28, asq_eff=6.2e+01, igsq=0.95
Reset #29, asq_eff=6.2e+01, igsq=0.95
Reset #30, asq_eff=6.2e+01, igsq=0.95
Reset #31, asq_eff=6.2e+01, igsq=0.95
Reset #32, asq_eff=6.2e+01, igsq=0.95
Reset #33, asq_eff=6.2e+01, igsq=0.95
Reset #34, asq_eff=6.2e+01, igsq=0.95
Reset #35, asq_eff=6.2e+01, igsq=0.95
Reset #36, asq_eff=6.2e+01, igsq=0.95
Reset #37, asq_eff=6.2e+01, igsq=0.95
Reset #38, asq_eff=6.2e+01, igsq=0.95
Reset #39, asq_eff=6.2e+01, igsq=0.95
Reset #40, asq_eff=6.2e+01, igsq=0.95
Reset #41, asq_eff=6.2e+01, igsq=0.95
Reset #42, asq_eff=6.2e+01, igsq=0.95
Reset #43, asq_eff=6.2e+01, igsq=0.95
Reset #44, asq_eff=6.3e+01, igsq=0.95
Reset #45, asq_eff=6.2e+01, igsq=0.95
Reset #46, asq_eff=6.2e+01, igsq=0.95
Reset #47, asq_eff=6.2e+01, igsq=0.95
Reset #48, asq_eff=6.2e+01, igsq=0.95
Reset #49, asq_eff=6.2e+01, igsq=0.95
Reset #50, asq_eff=6.2e+01, igsq=0.95
Reset #51, asq_eff=6.2e+01, igsq=0.95
Reset #52, asq_eff=6.2e+01, igsq=0.95
Reset #53, asq_eff=6.2e+01, igsq=0.95
Reset #54, asq_eff=6.2e+01, igsq=0.95
Reset #55, asq_eff=6.2e+01, igsq=0.95
Reset #56, asq_eff=6.2e+01, igsq=0.95
Reset #57, asq_eff=6.2e+01, igsq=0.95
Reset #58, asq_eff=6.2e+01, igsq=0.95
Reset #59, asq_eff=6.2e+01, igsq=0.95
Reset #60, asq_eff=6.2e+01, igsq=0.95
Reset #61, asq_eff=6.2e+01, igsq=0.95
Reset #62, asq_eff=6.2e+01, igsq=0.95
Reset #63, asq_eff=6.2e+01, igsq=0.95
Reset #64, asq_eff=6.2e+01, igsq=0.95
Reset #65, asq_eff=6.2e+01, igsq=0.95
Reset #66, asq_eff=6.2e+01, igsq=0.95
Reset #67, asq_eff=6.2e+01, igsq=0.95
Reset #68, asq_eff=6.2e+01, igsq=0.95
Reset #69, asq_eff=6.2e+01, igsq=0.95
Reset #70, asq_eff=6.2e+01, igsq=0.95
Reset #71, asq_eff=6.2e+01, igsq=0.95
Reset #72, asq_eff=6.2e+01, igsq=0.95
Reset #73, asq_eff=6.2e+01, igsq=0.95
Reset #74, asq_eff=6.2e+01, igsq=0.95
Reset #75, asq_eff=6.2e+01, igsq=0.95
Reset #76, asq_eff=6.2e+01, igsq=0.95
Reset #77, asq_eff=6.2e+01, igsq=0.95
Reset #78, asq_eff=6.2e+01, igsq=0.95
Reset #79, asq_eff=6.2e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=6.25e+01, N_step=296
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  22
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  23
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  24
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  25
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  26
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  27
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  28

LPL []
MPL []
eq37 Before S: 2197873.6087617935
eq37  S: 3.060675038739708e-05
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Reset #1, asq_eff=3.8e+02, igsq=1e-06
Reset #2, asq_eff=3.0e+02, igsq=1e-06
Steps remaining: 66, asq_eff=2.7e+02, igsq=1e-06
Reset #3, asq_eff=2.9e+02, igsq=1e-06
Reset #4, asq_eff=2.8e+02, igsq=1e-06
Reset #5, asq_eff=2.8e+02, igsq=1e-06
Reset #6, asq_eff=2.8e+02, igsq=1e-06
Reset #7, asq_eff=2.7e+02, igsq=1e-06
Reset #8, asq_eff=2.7e+02, igsq=1e-06
Reset #9, asq_eff=2.4e+02, igsq=1e-06
Steps remaining: 275, asq_eff=2.3e+02, igsq=1e-06
Reset #10, asq_eff=2.1e+02, igsq=1e-06
Reset #11, asq_eff=2.1e+02, igsq=1e-06
Reset #12, asq_eff=2.0e+02, igsq=1e-06
Reset #13, asq_eff=2.1e+02, igsq=1e-06
Reset #14, asq_eff=2.1e+02, igsq=1e-06
Reset #15, asq_eff=2.1e+02, igsq=1e-06
Reset #16, asq_eff=2.1e+02, igsq=1e-06
Reset #17, asq_eff=2.1e+02, igsq=1e-06
Steps remaining: 269, asq_eff=2.1e+02, igsq=1e-06
Reset #18, asq_eff=2.1e+02, igsq=1e-06
Reset #19, asq_eff=2.1e+02, igsq=1e-06
Reset #20, asq_eff=2.1e+02, igsq=1e-06
Reset #21, asq_eff=1.9e+02, igsq=1e-06
Reset #22, asq_eff=1.9e+02, igsq=1e-06
Reset #23, asq_eff=1.9e+02, igsq=1e-06
Reset #24, asq_eff=1.9e+02, igsq=1e-06
Steps remaining: 262, asq_eff=1.8e+02, igsq=1e-06
Reset #25, asq_eff=1.8e+02, igsq=1e-06
Reset #26, asq_eff=1.8e+02, igsq=1e-06
Reset #27, asq_eff=1.8e+02, igsq=1e-06
Reset #28, asq_eff=1.6e+02, igsq=1e-06
Reset #29, asq_eff=1.4e+02, igsq=1e-06
Reset #30, asq_eff=1.5e+02, igsq=1e-06
Reset #31, asq_eff=1.4e+02, igsq=1e-06
Reset #32, asq_eff=1.4e+02, igsq=1e-06
Reset #33, asq_eff=1.4e+02, igsq=1e-06
Reset #34, asq_eff=1.4e+02, igsq=1e-06
Reset #35, asq_eff=1.4e+02, igsq=1e-06
Reset #36, asq_eff=1.4e+02, igsq=1e-06
Reset #37, asq_eff=1.4e+02, igsq=1e-06
Reset #38, asq_eff=1.4e+02, igsq=1e-06
Reset #39, asq_eff=1.4e+02, igsq=1e-06
Reset #40, asq_eff=1.4e+02, igsq=1e-06
Reset #41, asq_eff=1.4e+02, igsq=1e-06
Reset #42, asq_eff=1.4e+02, igsq=1e-06
Reset #43, asq_eff=1.4e+02, igsq=1e-06
Reset #44, asq_eff=1.5e+02, igsq=1e-06
Reset #45, asq_eff=1.4e+02, igsq=1e-06
Reset #46, asq_eff=1.4e+02, igsq=1e-06
Reset #47, asq_eff=1.4e+02, igsq=1e-06
Reset #48, asq_eff=1.5e+02, igsq=1e-06
Reset #49, asq_eff=1.4e+02, igsq=1e-06
Reset #50, asq_eff=1.2e+02, igsq=1e-06
Reset #51, asq_eff=1.2e+02, igsq=1e-06
Reset #52, asq_eff=1.2e+02, igsq=1e-06
Reset #53, asq_eff=1.2e+02, igsq=1e-06
Reset #54, asq_eff=1.2e+02, igsq=1e-06
Steps remaining: 237, asq_eff=1.1e+02, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=1.06e+02, N_step=301
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Reset #1, asq_eff=2.7e+02, igsq=1e-05
Reset #2, asq_eff=2.5e+02, igsq=1e-05
Steps remaining: 64, asq_eff=2.3e+02, igsq=1e-05
Reset #3, asq_eff=1.2e+02, igsq=1e-05
Reset #4, asq_eff=1.2e+02, igsq=1e-05
Reset #5, asq_eff=1.2e+02, igsq=1e-05
Reset #6, asq_eff=1.2e+02, igsq=1e-05
Reset #7, asq_eff=1.2e+02, igsq=1e-05
Steps remaining: 238, asq_eff=1.1e+02, igsq=1e-05
Reset #8, asq_eff=1.1e+02, igsq=1e-05
Reset #9, asq_eff=1.1e+02, igsq=1e-05
Reset #10, asq_eff=1.1e+02, igsq=1e-05
Reset #11, asq_eff=1.1e+02, igsq=1e-05
Reset #12, asq_eff=1.1e+02, igsq=1e-05
Reset #13, asq_eff=1.0e+02, igsq=1e-05
Reset #14, asq_eff=1.0e+02, igsq=1e-05
Reset #15, asq_eff=1.0e+02, igsq=1e-05
Reset #16, asq_eff=1.0e+02, igsq=1e-05
Steps remaining: 233, asq_eff=1.0e+02, igsq=1e-05
Reset #17, asq_eff=1.0e+02, igsq=1e-05
Reset #18, asq_eff=1.0e+02, igsq=1e-05
Reset #19, asq_eff=1.0e+02, igsq=1e-05
Reset #20, asq_eff=9.6e+01, igsq=1e-05
Reset #21, asq_eff=8.8e+01, igsq=1e-05
Reset #22, asq_eff=8.9e+01, igsq=1e-05
Reset #23, asq_eff=8.9e+01, igsq=1e-05
Reset #24, asq_eff=9.0e+01, igsq=1e-05
Reset #25, asq_eff=8.4e+01, igsq=1e-05
Reset #26, asq_eff=8.3e+01, igsq=1e-05
Reset #27, asq_eff=8.3e+01, igsq=1e-05
Reset #28, asq_eff=7.7e+01, igsq=1e-05
Reset #29, asq_eff=7.8e+01, igsq=1e-05
Reset #30, asq_eff=7.7e+01, igsq=1e-05
Reset #31, asq_eff=7.8e+01, igsq=1e-05
Reset #32, asq_eff=7.9e+01, igsq=1e-05
Reset #33, asq_eff=6.9e+01, igsq=1e-05
Reset #34, asq_eff=6.5e+01, igsq=1e-05
Steps remaining: 208, asq_eff=6.2e+01, igsq=1e-05
Reset #35, asq_eff=6.1e+01, igsq=1e-05
Reset #36, asq_eff=5.8e+01, igsq=1e-05
Reset #37, asq_eff=5.9e+01, igsq=1e-05
Reset #38, asq_eff=6.0e+01, igsq=1e-05
Reset #39, asq_eff=6.0e+01, igsq=1e-05
Reset #40, asq_eff=6.0e+01, igsq=1e-05
Reset #41, asq_eff=6.0e+01, igsq=1e-05
Reset #42, asq_eff=6.1e+01, igsq=1e-05
Reset #43, asq_eff=6.1e+01, igsq=1e-05
Reset #44, asq_eff=6.2e+01, igsq=1e-05
Reset #45, asq_eff=6.3e+01, igsq=1e-05
Reset #46, asq_eff=6.3e+01, igsq=1e-05
Reset #47, asq_eff=6.4e+01, igsq=1e-05
Reset #48, asq_eff=6.2e+01, igsq=1e-05
Reset #49, asq_eff=5.9e+01, igsq=1e-05
Reset #50, asq_eff=6.0e+01, igsq=1e-05
Reset #51, asq_eff=5.7e+01, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=5.56e+01, N_step=301
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Failed on igsq:  0.01 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.01 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.00e-02 and asq=1.00e+00, N_step=105
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Reset #1, asq_eff=3.3e+00, igsq=0.1
Reset #2, asq_eff=3.6e+00, igsq=0.1
Reset #3, asq_eff=2.9e+00, igsq=0.1
Reset #4, asq_eff=2.1e+00, igsq=0.1
Steps remaining: 34, asq_eff=2.1e+00, igsq=0.1
Reset #5, asq_eff=2.0e+00, igsq=0.1
Reset #6, asq_eff=1.9e+00, igsq=0.1
Reset #7, asq_eff=1.9e+00, igsq=0.1
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.00e-01 and asq=1.88e+00, N_step=137
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Reset #1, asq_eff=3.3e+00, igsq=0.1
Reset #2, asq_eff=3.6e+00, igsq=0.1
Reset #3, asq_eff=2.9e+00, igsq=0.1
Reset #4, asq_eff=2.1e+00, igsq=0.1
Steps remaining: 34, asq_eff=2.1e+00, igsq=0.1
Reset #5, asq_eff=2.0e+00, igsq=0.1
Reset #6, asq_eff=1.9e+00, igsq=0.1
Reset #7, asq_eff=1.9e+00, igsq=0.1
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.00e-01 and asq=1.88e+00, N_step=137
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Reset #1, asq_eff=2.5e+01, igsq=0.15687174265360496
Reset #2, asq_eff=7.1e+00, igsq=0.15687174265360496
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.57e-01 and asq=7.07e+00, N_step=107
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Reset #1, asq_eff=2.5e+01, igsq=0.24608743643178863
Reset #2, asq_eff=2.3e+01, igsq=0.24608743643178863
Reset #3, asq_eff=2.0e+01, igsq=0.24608743643178863
Reset #4, asq_eff=1.8e+01, igsq=0.24608743643178863
Reset #5, asq_eff=1.8e+01, igsq=0.24608743643178863
Non-optimal solve at igsq=2.46e-01 and asq=1.78e+01, N_step=116
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Reset #1, asq_eff=9.9e+01, igsq=0.38604164998212914
Steps remaining: 25, asq_eff=7.0e+01, igsq=0.38604164998212914
Reset #2, asq_eff=3.3e+01, igsq=0.38604164998212914
Reset #3, asq_eff=3.1e+01, igsq=0.38604164998212914
Reset #4, asq_eff=3.1e+01, igsq=0.38604164998212914
Reset #5, asq_eff=3.0e+01, igsq=0.38604164998212914
Reset #6, asq_eff=3.1e+01, igsq=0.38604164998212914
Reset #7, asq_eff=3.1e+01, igsq=0.38604164998212914
Steps remaining: 169, asq_eff=2.9e+01, igsq=0.38604164998212914
Reset #8, asq_eff=2.7e+01, igsq=0.38604164998212914
Reset #9, asq_eff=2.3e+01, igsq=0.38604164998212914
Reset #10, asq_eff=2.3e+01, igsq=0.38604164998212914
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=3.86e-01 and asq=2.32e+01, N_step=143
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Reset #1, asq_eff=7.0e+01, igsq=0.605590263695696
Steps remaining: 24, asq_eff=5.9e+01, igsq=0.605590263695696
Reset #2, asq_eff=4.6e+01, igsq=0.605590263695696
Reset #3, asq_eff=4.4e+01, igsq=0.605590263695696
Non-optimal solve at igsq=6.06e-01 and asq=4.40e+01, N_step=102
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Reset #1, asq_eff=1.4e+02, igsq=0.95
Steps remaining: 26, asq_eff=8.3e+01, igsq=0.95
Failed on igsq:  0.95 Failed to find a finite solution.
Reset #2, asq_eff=7.6e+01, igsq=0.95
Reset #3, asq_eff=7.3e+01, igsq=0.95
Reset #4, asq_eff=6.9e+01, igsq=0.95
Reset #5, asq_eff=6.8e+01, igsq=0.95
Reset #6, asq_eff=6.9e+01, igsq=0.95
Reset #7, asq_eff=6.8e+01, igsq=0.95
Reset #8, asq_eff=6.9e+01, igsq=0.95
Reset #9, asq_eff=6.8e+01, igsq=0.95
Reset #10, asq_eff=6.9e+01, igsq=0.95
Reset #11, asq_eff=6.9e+01, igsq=0.95
Reset #12, asq_eff=7.0e+01, igsq=0.95
Steps remaining: 214, asq_eff=6.9e+01, igsq=0.95
Reset #13, asq_eff=7.1e+01, igsq=0.95
Reset #14, asq_eff=6.9e+01, igsq=0.95
Reset #15, asq_eff=6.8e+01, igsq=0.95
Reset #16, asq_eff=6.9e+01, igsq=0.95
Reset #17, asq_eff=6.9e+01, igsq=0.95
Reset #18, asq_eff=6.9e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=6.87e+01, N_step=140
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  29
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  30

LPL []
MPL []
eq37 Before S: 10513605.74613968
eq37  S: 0.00027769213688703226
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Reset #1, asq_eff=7.6e+02, igsq=1e-06
Reset #2, asq_eff=4.2e+02, igsq=1e-06
Steps remaining: 69, asq_eff=3.5e+02, igsq=1e-06
Reset #3, asq_eff=3.1e+02, igsq=1e-06
Reset #4, asq_eff=2.9e+02, igsq=1e-06
Reset #5, asq_eff=2.8e+02, igsq=1e-06
Reset #6, asq_eff=2.8e+02, igsq=1e-06
Reset #7, asq_eff=2.8e+02, igsq=1e-06
Reset #8, asq_eff=2.8e+02, igsq=1e-06
Reset #9, asq_eff=2.8e+02, igsq=1e-06
Steps remaining: 282, asq_eff=2.7e+02, igsq=1e-06
Reset #10, asq_eff=2.6e+02, igsq=1e-06
Reset #11, asq_eff=2.7e+02, igsq=1e-06
Reset #12, asq_eff=2.7e+02, igsq=1e-06
Reset #13, asq_eff=2.6e+02, igsq=1e-06
Reset #14, asq_eff=2.6e+02, igsq=1e-06
Reset #15, asq_eff=2.6e+02, igsq=1e-06
Reset #16, asq_eff=2.5e+02, igsq=1e-06
Reset #17, asq_eff=2.4e+02, igsq=1e-06
Reset #18, asq_eff=2.4e+02, igsq=1e-06
Reset #19, asq_eff=2.4e+02, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=2.41e+02, N_step=163
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Reset #1, asq_eff=5.0e+01, igsq=1e-05
Reset #2, asq_eff=2.8e+01, igsq=1e-05
Reset #3, asq_eff=1.9e+01, igsq=1e-05
Reset #4, asq_eff=1.8e+01, igsq=1e-05
Reset #5, asq_eff=1.9e+01, igsq=1e-05
Reset #6, asq_eff=1.9e+01, igsq=1e-05
Reset #7, asq_eff=1.8e+01, igsq=1e-05
Reset #8, asq_eff=1.8e+01, igsq=1e-05
Steps remaining: 144, asq_eff=1.7e+01, igsq=1e-05
Reset #9, asq_eff=1.7e+01, igsq=1e-05
Reset #10, asq_eff=1.7e+01, igsq=1e-05
Reset #11, asq_eff=1.7e+01, igsq=1e-05
Reset #12, asq_eff=1.6e+01, igsq=1e-05
Reset #13, asq_eff=1.6e+01, igsq=1e-05
Reset #14, asq_eff=1.4e+01, igsq=1e-05
Reset #15, asq_eff=1.4e+01, igsq=1e-05
Reset #16, asq_eff=1.3e+01, igsq=1e-05
Reset #17, asq_eff=1.2e+01, igsq=1e-05
Reset #18, asq_eff=1.2e+01, igsq=1e-05
Reset #19, asq_eff=1.2e+01, igsq=1e-05
Reset #20, asq_eff=1.2e+01, igsq=1e-05
Reset #21, asq_eff=1.2e+01, igsq=1e-05
Reset #22, asq_eff=1.2e+01, igsq=1e-05
Reset #23, asq_eff=1.2e+01, igsq=1e-05
Reset #24, asq_eff=9.4e+00, igsq=1e-05
Reset #25, asq_eff=9.5e+00, igsq=1e-05
Steps remaining: 106, asq_eff=8.1e+00, igsq=1e-05
Reset #26, asq_eff=8.3e+00, igsq=1e-05
Reset #27, asq_eff=8.4e+00, igsq=1e-05
Reset #28, asq_eff=8.3e+00, igsq=1e-05
Reset #29, asq_eff=8.4e+00, igsq=1e-05
Reset #30, asq_eff=7.7e+00, igsq=1e-05
Reset #31, asq_eff=7.5e+00, igsq=1e-05
Reset #32, asq_eff=7.6e+00, igsq=1e-05
Reset #33, asq_eff=7.3e+00, igsq=1e-05
Reset #34, asq_eff=7.3e+00, igsq=1e-05
Reset #35, asq_eff=7.2e+00, igsq=1e-05
Reset #36, asq_eff=7.0e+00, igsq=1e-05
Reset #37, asq_eff=7.0e+00, igsq=1e-05
Reset #38, asq_eff=6.8e+00, igsq=1e-05
Reset #39, asq_eff=6.6e+00, igsq=1e-05
Reset #40, asq_eff=6.1e+00, igsq=1e-05
Steps remaining: 89, asq_eff=5.8e+00, igsq=1e-05
Reset #41, asq_eff=4.2e+00, igsq=1e-05
Reset #42, asq_eff=3.9e+00, igsq=1e-05
Reset #43, asq_eff=3.9e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=3.81e+00, N_step=302
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Reset #1, asq_eff=1.3e+01, igsq=0.1
Reset #2, asq_eff=7.1e+00, igsq=0.1
Reset #3, asq_eff=6.2e+00, igsq=0.1
Reset #4, asq_eff=6.1e+00, igsq=0.1
Non-optimal solve at igsq=1.00e-01 and asq=6.09e+00, N_step=114
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Reset #1, asq_eff=1.3e+01, igsq=0.1
Reset #2, asq_eff=7.1e+00, igsq=0.1
Reset #3, asq_eff=6.2e+00, igsq=0.1
Reset #4, asq_eff=6.1e+00, igsq=0.1
Non-optimal solve at igsq=1.00e-01 and asq=6.09e+00, N_step=114
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Reset #1, asq_eff=5.0e+01, igsq=0.15687174265360496
Reset #2, asq_eff=2.8e+01, igsq=0.15687174265360496
Reset #3, asq_eff=2.9e+01, igsq=0.15687174265360496
Reset #4, asq_eff=2.5e+01, igsq=0.15687174265360496
Reset #5, asq_eff=2.5e+01, igsq=0.15687174265360496
Reset #6, asq_eff=2.2e+01, igsq=0.15687174265360496
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.57e-01 and asq=2.25e+01, N_step=121
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Reset #1, asq_eff=3.6e+01, igsq=0.24608743643178863
Reset #2, asq_eff=3.9e+01, igsq=0.24608743643178863
Non-optimal solve at igsq=2.46e-01 and asq=3.87e+01, N_step=98
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Reset #1, asq_eff=3.8e+02, igsq=0.38604164998212914
Reset #2, asq_eff=4.2e+02, igsq=0.38604164998212914
Steps remaining: 67, asq_eff=3.0e+02, igsq=0.38604164998212914
Reset #3, asq_eff=2.9e+02, igsq=0.38604164998212914
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=3.86e-01 and asq=2.86e+02, N_step=98
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Reset #1, asq_eff=1.9e+02, igsq=0.605590263695696
Reset #2, asq_eff=2.1e+02, igsq=0.605590263695696
Reset #3, asq_eff=2.2e+02, igsq=0.605590263695696
Reset #4, asq_eff=2.3e+02, igsq=0.605590263695696
Reset #5, asq_eff=2.3e+02, igsq=0.605590263695696
Reset #6, asq_eff=2.3e+02, igsq=0.605590263695696
Non-optimal solve at igsq=6.06e-01 and asq=2.31e+02, N_step=104
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Reset #1, asq_eff=1.4e+02, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=1.39e+02, N_step=92
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  31
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  32
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  33
Calculating Full Results Now:

Range from PSD:  107.9146723240343

Range from PSD:  149.72472374908463

Range from PSD:  149.72472374908463

Range from PSD:  158.5420766158562

Range from PSD:  168.9546219500229

Range from PSD:  178.72488162292163

Range from PSD:  167.06985389297859

Range from PSD:  162.3082092963983

Range from PSD:  175.1275927056787

Range from PSD:  175.1275927056787

Range from PSD:  185.46800490091152

Range from PSD:  174.20552666025998

Range from PSD:  192.65277748306136

Range from PSD:  191.7503579229426

Range from PSD:  179.2177698211322

Range from PSD:  141.3841817197587

Range from PSD:  194.2395997561893

Range from PSD:  194.2395997561893

Range from PSD:  194.35812998810232

Range from PSD:  193.7227660687067

Range from PSD:  126.75617139121309

Range from PSD:  179.78700779700765

Range from PSD:  159.57828339090713

Range from PSD:  193.76532087126563

Range from PSD:  194.31765671641867

Range from PSD:  194.31765671641867

Range from PSD:  176.40289408380073

Range from PSD:  150.60891380084038

Range from PSD:  193.94508867376382

Range from PSD:  193.75170872895728

Range from PSD:  191.76649927320813

Range from PSD:  194.41667952420616

Range from PSD:  178.54173741486943
Now running plot test
save fldr:  /builds/buzz/test/ASC_SOLVER/ExampleModels_newFOM/results_H2_ADY.pkl

Range from PSD:  182.9457750975944
Plotting RMS Plot
Plotting RMS Plot with lost range

Range from PSD:  179.2177698211322

Range from PSD:  141.3841817197587

Range from PSD:  194.2395997561893

Range from PSD:  194.2395997561893

Range from PSD:  194.35812998810232

Range from PSD:  193.7227660687067

Range from PSD:  126.75617139121309
Plotting RMS Plot With Range
Plotting RMS Plot With Range from PSD
Plotting Heatmap
Plotting RMS Plot with Heatmap
Plotting RMS Range Plot single result
Plotting Open Loop
Captured stderr call

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captured errors:
folder = 'ExampleModels_newFOM'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_calc_HiB(folder):
        sysB = get_systemB(folder = folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if folder == 'ExampleModels_newFOM_F3':
            FOM_out = ["F3.out", "F2.out"]
        else:
            FOM_out = ["FBNS.out", "F2.out"]
        wn_in = ["S.in", "O.in"]
        Zinf = ["Zinf.in"]
        control_in = ["U.in"]
        meas_out = ["T.out"]

        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[0], FBNS_scale)
        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[1], FFlat_scale)

        # Scale the DARM output
        if 'DARM.out' in sysB.sys.outputs.keys():
            print('scaling DARM')
            DARM_scale_factor = strain2m * SNR_intg_factor
            sysB.sys = ssutil.scale_io(sysB.sys, 'DARM.out', DARM_scale_factor)

        params = {}
        if folder == 'ExampleModels':
            params['F1_gain'] = np.geomspace(1e1, 1e5, 5) * 1/FBNS_scale # was 1e1 3e3
        elif folder == 'ExampleModels_newFOM_F3':
            params['F1_gain'] = np.geomspace(1e-6, 1e-3, 5) * 1/FBNS_scale
        else:
            params["F1_gain"] = np.geomspace(4e1, 1e5, 6) * 1/FBNS_scale
            #params["F1_gain"] = np.array([0.09146101038546522])

        # params["igsq_capture"] = [
        #     0,  # H2 constraint
        #     1.8e-2,  # 1 deg
        #     1e-1,  # 6 deg
        #     0.20,  # 11.5 deg
        #     0.3,  # 17 deg
        #     0.5,  # 30 deg
        #     0.7653668647301797,  # 45 deg
        #     0.85,  # 50.0 deg
        #     0.90,  # 53.5 deg
        #     0.95,  # 56.5 deg
        #     # above this it gets very hairy
        #     # these are 10 solutions
        # ]

        # params["igsq_capture"] = np.geomspace(1e-6, 0.99, 40)
        params["igsq_capture"] = np.concatenate([np.geomspace(1e-6, 0.1, 6), np.geomspace(.1, 0.95, 6)])

        plotting_omega = np.logspace(-3, 4, 1000) * 2 * np.pi
        results_Hib_bare = compute.calcOpt(
            sysB.sys,
            control_in,
            wn_in,
            meas_out,
            FOM_out,
            params,
            Zinf=Zinf,
            solver="HB",
            plant_orig=sysB.orig_plant,
            BH_solver = BH1solverset,
            debug_mode=True,
        )

        current_range = np.loadtxt(fjoin(folder, 'FBNS_Current_range.txt')) # Saved by the normalization in the make function

        print("Calculating Full Results Now:")
        results_Hib = compute.calcFullResults(
            results_Hib_bare,
            colormap="RdYlGn",
            plot_omega=plotting_omega,
            color_param="igsq",
            label=False,
            RMS_cal=1,
            RMS_cal_F1 = 1/FBNS_scale * 1/FBNS_renorm * strain2m * SNR_intg_factor,
            RMS_cal_F2 = 1/FFlat_scale * ct2rad,
            current_range = current_range,
        )

        ofile = "results_Hib_ADY.pkl"
        tfile = tjoin(ofile)
        buzzutil.save_results(results_Hib, tfile)

        ffile = fjoin(folder, ofile)
        buzzutil.save_results(results_Hib, ffile)

        # TODO, should also check if the data is identical and warn that it should be copied
        # copy to the data directory if it is missing
        dfile = fjoin(folder, ofile)
        # should not save into the root folder for parametrized test - Lee
        # if not os.path.exists(ofile):
        #     import shutil
        #     shutil.copy(tfile, ofile)

        print("Now running plot test")
>       T_plot_HiB(folder=folder, dfile=tfile)

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:430: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:660: in T_plot_HiB
    fig_ol_Hib, ax_ol_Hib = plotting.plotLoop(
/builds/buzz/src/buzz/plotting.py:236: in plotLoop
    makePlotFolder(setname=setname)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

setname = 'ADY_Hib'

    def makePlotFolder(setname=''):
        """Makes a folder to store the plots in if it doesn't already exist

        """
>       assert(False)
E       AssertionError

/builds/buzz/src/buzz/plotting.py:135: AssertionError
T_calc_HiB[ExampleModels_newFOM_F3]
output
LPL []
MPL []
eq37 Before S: 0.00018172663699776901
eq37  S: 5.237758528690059e-09
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  1
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  2
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  3
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  4
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  5
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  6
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  7
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  8
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  9
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  10
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  11
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  12

LPL []
MPL []
eq37 Before S: 0.001778103936441126
eq37  S: 4.3054799462049177e-08
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  13
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  14
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  15
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  16
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  17
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  18
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  19
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  20
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  21
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  22
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  23
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  24

LPL []
MPL []
eq37 Before S: 0.010022433913595643
eq37  S: 1.9249037995129375e-07
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  25
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  26
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  27
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  28
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  29
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  30
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  31
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  32
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  33
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  34
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  35
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  36

LPL []
MPL []
eq37 Before S: 0.05936447215730137
eq37  S: 2.474552140239173e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  37
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  38
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  39
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  40
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  41
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  42
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  43
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  44
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  45
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  46
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  47
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  48

LPL []
MPL []
eq37 Before S: 0.333947307815496
eq37  S: 1.1449902829663703e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  49
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  50
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  51
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  52
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  53
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  54
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  55
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  56
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  57
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  58
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  59
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  60
Calculating Full Results Now:

Range from PSD:  3.123709612345165e-05

Range from PSD:  3.123567433986469e-05

Range from PSD:  3.123106647316782e-05

Range from PSD:  3.121449317100186e-05

Range from PSD:  3.1016683342462885e-05

Range from PSD:  2.8980670030572746e-05

Range from PSD:  2.8980670030572746e-05

Range from PSD:  2.763463431043072e-05

Range from PSD:  2.5438209032697306e-05

Range from PSD:  2.1771541332575705e-05

Range from PSD:  1.5566054450437912e-05

Range from PSD:  1.9402133654670266e-05

Range from PSD:  3.1237776313082014e-05

Range from PSD:  3.123883403289328e-05

Range from PSD:  3.1236654617432435e-05

Range from PSD:  3.121397933618369e-05

Range from PSD:  3.101634635877082e-05

Range from PSD:  2.8980359528116873e-05

Range from PSD:  2.8980359528116873e-05

Range from PSD:  2.7633122002030546e-05

Range from PSD:  2.5436779056177237e-05

Range from PSD:  2.177221447326848e-05

Range from PSD:  1.5568952385701933e-05

Range from PSD:  1.9363890651421925e-05

Range from PSD:  3.123583039152154e-05

Range from PSD:  3.123921620310611e-05

Range from PSD:  3.1236629385384654e-05

Range from PSD:  3.12184146899639e-05

Range from PSD:  3.1016236534642874e-05

Range from PSD:  2.8975347291474495e-05

Range from PSD:  2.8975347291474495e-05

Range from PSD:  2.7632523008188572e-05

Range from PSD:  2.543987775104217e-05

Range from PSD:  2.177638020593736e-05

Range from PSD:  1.5564786145657428e-05

Range from PSD:  1.9346489703209967e-05

Range from PSD:  3.123510072288261e-05

Range from PSD:  3.123506707794551e-05

Range from PSD:  3.1234976730643054e-05

Range from PSD:  3.121597065270724e-05

Range from PSD:  3.101446554903693e-05

Range from PSD:  2.8974625426175283e-05

Range from PSD:  2.8974625426175283e-05

Range from PSD:  2.7639296315778274e-05

Range from PSD:  2.54383379401644e-05

Range from PSD:  2.1771067154909413e-05

Range from PSD:  1.556470691686242e-05

Range from PSD:  1.935806018851409e-05

Range from PSD:  3.124130177657806e-05

Range from PSD:  3.123251703018818e-05

Range from PSD:  3.1234213392309675e-05

Range from PSD:  3.120940891218551e-05

Range from PSD:  3.101063678944551e-05

Range from PSD:  2.897327486943838e-05

Range from PSD:  2.897327486943838e-05

Range from PSD:  2.76293184243472e-05

Range from PSD:  2.542205713752494e-05

Range from PSD:  2.1761998697352485e-05

Range from PSD:  1.550460008513065e-05

Range from PSD:  1.898828877690379e-05
Now running plot test
save fldr:  /builds/buzz/test/ASC_SOLVER/ExampleModels_newFOM_F3/results_H2_ADY.pkl

Range from PSD:  0.00010882835455095848
Plotting RMS Plot
Plotting RMS Plot with lost range

Range from PSD:  3.1237776313082014e-05

Range from PSD:  3.123883403289328e-05

Range from PSD:  3.1236654617432435e-05

Range from PSD:  3.121397933618369e-05

Range from PSD:  3.101634635877082e-05

Range from PSD:  2.8980359528116873e-05

Range from PSD:  2.8980359528116873e-05

Range from PSD:  2.7633122002030546e-05

Range from PSD:  2.5436779056177237e-05

Range from PSD:  2.177221447326848e-05

Range from PSD:  1.5568952385701933e-05

Range from PSD:  1.9363890651421925e-05
Plotting RMS Plot With Range
Plotting RMS Plot With Range from PSD
Plotting Heatmap
Plotting RMS Plot with Heatmap
Captured stderr call

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captured errors:
folder = 'ExampleModels_newFOM_F3'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_calc_HiB(folder):
        sysB = get_systemB(folder = folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if folder == 'ExampleModels_newFOM_F3':
            FOM_out = ["F3.out", "F2.out"]
        else:
            FOM_out = ["FBNS.out", "F2.out"]
        wn_in = ["S.in", "O.in"]
        Zinf = ["Zinf.in"]
        control_in = ["U.in"]
        meas_out = ["T.out"]

        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[0], FBNS_scale)
        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[1], FFlat_scale)

        # Scale the DARM output
        if 'DARM.out' in sysB.sys.outputs.keys():
            print('scaling DARM')
            DARM_scale_factor = strain2m * SNR_intg_factor
            sysB.sys = ssutil.scale_io(sysB.sys, 'DARM.out', DARM_scale_factor)

        params = {}
        if folder == 'ExampleModels':
            params['F1_gain'] = np.geomspace(1e1, 1e5, 5) * 1/FBNS_scale # was 1e1 3e3
        elif folder == 'ExampleModels_newFOM_F3':
            params['F1_gain'] = np.geomspace(1e-6, 1e-3, 5) * 1/FBNS_scale
        else:
            params["F1_gain"] = np.geomspace(4e1, 1e5, 6) * 1/FBNS_scale
            #params["F1_gain"] = np.array([0.09146101038546522])

        # params["igsq_capture"] = [
        #     0,  # H2 constraint
        #     1.8e-2,  # 1 deg
        #     1e-1,  # 6 deg
        #     0.20,  # 11.5 deg
        #     0.3,  # 17 deg
        #     0.5,  # 30 deg
        #     0.7653668647301797,  # 45 deg
        #     0.85,  # 50.0 deg
        #     0.90,  # 53.5 deg
        #     0.95,  # 56.5 deg
        #     # above this it gets very hairy
        #     # these are 10 solutions
        # ]

        # params["igsq_capture"] = np.geomspace(1e-6, 0.99, 40)
        params["igsq_capture"] = np.concatenate([np.geomspace(1e-6, 0.1, 6), np.geomspace(.1, 0.95, 6)])

        plotting_omega = np.logspace(-3, 4, 1000) * 2 * np.pi
        results_Hib_bare = compute.calcOpt(
            sysB.sys,
            control_in,
            wn_in,
            meas_out,
            FOM_out,
            params,
            Zinf=Zinf,
            solver="HB",
            plant_orig=sysB.orig_plant,
            BH_solver = BH1solverset,
            debug_mode=True,
        )

        current_range = np.loadtxt(fjoin(folder, 'FBNS_Current_range.txt')) # Saved by the normalization in the make function

        print("Calculating Full Results Now:")
        results_Hib = compute.calcFullResults(
            results_Hib_bare,
            colormap="RdYlGn",
            plot_omega=plotting_omega,
            color_param="igsq",
            label=False,
            RMS_cal=1,
            RMS_cal_F1 = 1/FBNS_scale * 1/FBNS_renorm * strain2m * SNR_intg_factor,
            RMS_cal_F2 = 1/FFlat_scale * ct2rad,
            current_range = current_range,
        )

        ofile = "results_Hib_ADY.pkl"
        tfile = tjoin(ofile)
        buzzutil.save_results(results_Hib, tfile)

        ffile = fjoin(folder, ofile)
        buzzutil.save_results(results_Hib, ffile)

        # TODO, should also check if the data is identical and warn that it should be copied
        # copy to the data directory if it is missing
        dfile = fjoin(folder, ofile)
        # should not save into the root folder for parametrized test - Lee
        # if not os.path.exists(ofile):
        #     import shutil
        #     shutil.copy(tfile, ofile)

        print("Now running plot test")
>       T_plot_HiB(folder=folder, dfile=tfile)

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:430: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:621: in T_plot_HiB
    fig_rmsheatmap_Hib = plotting.plotRMS(
/builds/buzz/src/buzz/plotting.py:516: in plotRMS
    grid_v = griddata((log_x, log_y), heatmap_color, (grid_log_x, grid_log_y), method='cubic')
/opt/conda/lib/python3.12/site-packages/scipy/interpolate/_ndgriddata.py:327: in griddata
    ip = CloughTocher2DInterpolator(points, values, fill_value=fill_value,
interpnd.pyx:931: in scipy.interpolate.interpnd.CloughTocher2DInterpolator.__init__
    ???
interpnd.pyx:92: in scipy.interpolate.interpnd.NDInterpolatorBase.__init__
    ???
interpnd.pyx:950: in scipy.interpolate.interpnd.CloughTocher2DInterpolator._calculate_triangulation
    ???
_qhull.pyx:1885: in scipy.spatial._qhull.Delaunay.__init__
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   ValueError: Points cannot contain NaN

_qhull.pyx:280: ValueError
T_calc_HiB[ExampleModels_working]
output
LPL []
MPL []
eq37 Before S: 29353.243656775277
eq37  S: 1.3129630900649603e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=1.3e+01, igsq=1e-06
Reset #2, asq_eff=1.2e+01, igsq=1e-06
Reset #3, asq_eff=1.2e+01, igsq=1e-06
Reset #4, asq_eff=1.2e+01, igsq=1e-06
Reset #5, asq_eff=1.1e+01, igsq=1e-06
Reset #6, asq_eff=1.1e+01, igsq=1e-06
Reset #7, asq_eff=1.0e+01, igsq=1e-06
Reset #8, asq_eff=1.0e+01, igsq=1e-06
Reset #9, asq_eff=8.1e+00, igsq=1e-06
Reset #10, asq_eff=8.2e+00, igsq=1e-06
Reset #11, asq_eff=7.8e+00, igsq=1e-06
Reset #12, asq_eff=7.7e+00, igsq=1e-06
Steps remaining: 100, asq_eff=7.3e+00, igsq=1e-06
Reset #13, asq_eff=7.0e+00, igsq=1e-06
Reset #14, asq_eff=7.1e+00, igsq=1e-06
Reset #15, asq_eff=7.0e+00, igsq=1e-06
Reset #16, asq_eff=6.7e+00, igsq=1e-06
Reset #17, asq_eff=6.4e+00, igsq=1e-06
Reset #18, asq_eff=6.2e+00, igsq=1e-06
Reset #19, asq_eff=6.0e+00, igsq=1e-06
Steps remaining: 90, asq_eff=5.9e+00, igsq=1e-06
Reset #20, asq_eff=5.7e+00, igsq=1e-06
Reset #21, asq_eff=5.4e+00, igsq=1e-06
Reset #22, asq_eff=5.5e+00, igsq=1e-06
Reset #23, asq_eff=5.4e+00, igsq=1e-06
Reset #24, asq_eff=5.3e+00, igsq=1e-06
Reset #25, asq_eff=5.3e+00, igsq=1e-06
Reset #26, asq_eff=5.4e+00, igsq=1e-06
Steps remaining: 83, asq_eff=5.2e+00, igsq=1e-06
Reset #27, asq_eff=5.3e+00, igsq=1e-06
Reset #28, asq_eff=5.3e+00, igsq=1e-06
Reset #29, asq_eff=5.0e+00, igsq=1e-06
Reset #30, asq_eff=4.9e+00, igsq=1e-06
Reset #31, asq_eff=4.5e+00, igsq=1e-06
Reset #32, asq_eff=4.5e+00, igsq=1e-06
Reset #33, asq_eff=4.6e+00, igsq=1e-06
Reset #34, asq_eff=4.5e+00, igsq=1e-06
Steps remaining: 75, asq_eff=4.4e+00, igsq=1e-06
Reset #35, asq_eff=4.6e+00, igsq=1e-06
Reset #36, asq_eff=4.6e+00, igsq=1e-06
Reset #37, asq_eff=4.6e+00, igsq=1e-06
Reset #38, asq_eff=4.6e+00, igsq=1e-06
Reset #39, asq_eff=4.5e+00, igsq=1e-06
Reset #40, asq_eff=4.5e+00, igsq=1e-06
Reset #41, asq_eff=4.4e+00, igsq=1e-06
Steps remaining: 72, asq_eff=4.1e+00, igsq=1e-06
Reset #42, asq_eff=4.3e+00, igsq=1e-06
Reset #43, asq_eff=3.7e+00, igsq=1e-06
Reset #44, asq_eff=3.7e+00, igsq=1e-06
Reset #45, asq_eff=3.7e+00, igsq=1e-06
Reset #46, asq_eff=3.8e+00, igsq=1e-06
Reset #47, asq_eff=3.7e+00, igsq=1e-06
Reset #48, asq_eff=3.7e+00, igsq=1e-06
Reset #49, asq_eff=3.7e+00, igsq=1e-06
Steps remaining: 65, asq_eff=3.6e+00, igsq=1e-06
Reset #50, asq_eff=3.7e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=3.63e+00, N_step=305
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=6.5e+00, igsq=1e-05
Reset #2, asq_eff=7.0e+00, igsq=1e-05
Reset #3, asq_eff=7.3e+00, igsq=1e-05
Reset #4, asq_eff=7.5e+00, igsq=1e-05
Reset #5, asq_eff=7.6e+00, igsq=1e-05
Reset #6, asq_eff=6.9e+00, igsq=1e-05
Reset #7, asq_eff=7.0e+00, igsq=1e-05
Steps remaining: 95, asq_eff=6.6e+00, igsq=1e-05
Reset #8, asq_eff=6.5e+00, igsq=1e-05
Reset #9, asq_eff=6.1e+00, igsq=1e-05
Reset #10, asq_eff=5.5e+00, igsq=1e-05
Reset #11, asq_eff=5.5e+00, igsq=1e-05
Reset #12, asq_eff=5.4e+00, igsq=1e-05
Steps remaining: 84, asq_eff=5.3e+00, igsq=1e-05
Reset #13, asq_eff=5.3e+00, igsq=1e-05
Reset #14, asq_eff=5.3e+00, igsq=1e-05
Reset #15, asq_eff=5.2e+00, igsq=1e-05
Reset #16, asq_eff=5.3e+00, igsq=1e-05
Reset #17, asq_eff=5.3e+00, igsq=1e-05
Reset #18, asq_eff=5.4e+00, igsq=1e-05
Reset #19, asq_eff=5.4e+00, igsq=1e-05
Reset #20, asq_eff=5.3e+00, igsq=1e-05
Reset #21, asq_eff=5.3e+00, igsq=1e-05
Steps remaining: 79, asq_eff=4.8e+00, igsq=1e-05
Reset #22, asq_eff=4.7e+00, igsq=1e-05
Reset #23, asq_eff=4.6e+00, igsq=1e-05
Reset #24, asq_eff=4.6e+00, igsq=1e-05
Reset #25, asq_eff=4.3e+00, igsq=1e-05
Reset #26, asq_eff=4.3e+00, igsq=1e-05
Reset #27, asq_eff=4.4e+00, igsq=1e-05
Reset #28, asq_eff=4.4e+00, igsq=1e-05
Reset #29, asq_eff=4.4e+00, igsq=1e-05
Steps remaining: 72, asq_eff=4.2e+00, igsq=1e-05
Reset #30, asq_eff=4.3e+00, igsq=1e-05
Reset #31, asq_eff=4.1e+00, igsq=1e-05
Reset #32, asq_eff=4.1e+00, igsq=1e-05
Reset #33, asq_eff=3.9e+00, igsq=1e-05
Reset #34, asq_eff=4.0e+00, igsq=1e-05
Reset #35, asq_eff=3.9e+00, igsq=1e-05
Reset #36, asq_eff=3.9e+00, igsq=1e-05
Reset #37, asq_eff=3.9e+00, igsq=1e-05
Reset #38, asq_eff=3.9e+00, igsq=1e-05
Reset #39, asq_eff=3.6e+00, igsq=1e-05
Reset #40, asq_eff=3.7e+00, igsq=1e-05
Reset #41, asq_eff=3.6e+00, igsq=1e-05
Reset #42, asq_eff=3.6e+00, igsq=1e-05
Reset #43, asq_eff=3.6e+00, igsq=1e-05
Reset #44, asq_eff=3.7e+00, igsq=1e-05
Reset #45, asq_eff=3.7e+00, igsq=1e-05
Reset #46, asq_eff=3.7e+00, igsq=1e-05
Reset #47, asq_eff=3.7e+00, igsq=1e-05
Reset #48, asq_eff=3.8e+00, igsq=1e-05
Reset #49, asq_eff=3.8e+00, igsq=1e-05
Reset #50, asq_eff=3.8e+00, igsq=1e-05
Reset #51, asq_eff=3.8e+00, igsq=1e-05
Reset #52, asq_eff=3.8e+00, igsq=1e-05
Reset #53, asq_eff=3.9e+00, igsq=1e-05
Reset #54, asq_eff=3.9e+00, igsq=1e-05
Reset #55, asq_eff=3.9e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=3.79e+00, N_step=301
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=9.1e+00, igsq=0.0001
Reset #2, asq_eff=8.3e+00, igsq=0.0001
Reset #3, asq_eff=7.3e+00, igsq=0.0001
Reset #4, asq_eff=6.3e+00, igsq=0.0001
Reset #5, asq_eff=6.4e+00, igsq=0.0001
Reset #6, asq_eff=6.5e+00, igsq=0.0001
Reset #7, asq_eff=6.4e+00, igsq=0.0001
Reset #8, asq_eff=6.3e+00, igsq=0.0001
Reset #9, asq_eff=6.2e+00, igsq=0.0001
Reset #10, asq_eff=6.2e+00, igsq=0.0001
Reset #11, asq_eff=6.3e+00, igsq=0.0001
Reset #12, asq_eff=5.4e+00, igsq=0.0001
Reset #13, asq_eff=5.5e+00, igsq=0.0001
Reset #14, asq_eff=5.5e+00, igsq=0.0001
Steps remaining: 85, asq_eff=5.4e+00, igsq=0.0001
Reset #15, asq_eff=5.3e+00, igsq=0.0001
Reset #16, asq_eff=5.1e+00, igsq=0.0001
Reset #17, asq_eff=5.1e+00, igsq=0.0001
Reset #18, asq_eff=5.1e+00, igsq=0.0001
Reset #19, asq_eff=5.1e+00, igsq=0.0001
Reset #20, asq_eff=5.2e+00, igsq=0.0001
Reset #21, asq_eff=5.1e+00, igsq=0.0001
Reset #22, asq_eff=5.2e+00, igsq=0.0001
Reset #23, asq_eff=5.0e+00, igsq=0.0001
Reset #24, asq_eff=5.1e+00, igsq=0.0001
Reset #25, asq_eff=5.0e+00, igsq=0.0001
Reset #26, asq_eff=5.0e+00, igsq=0.0001
Reset #27, asq_eff=4.9e+00, igsq=0.0001
Reset #28, asq_eff=4.8e+00, igsq=0.0001
Reset #29, asq_eff=4.5e+00, igsq=0.0001
Reset #30, asq_eff=4.4e+00, igsq=0.0001
Reset #31, asq_eff=4.5e+00, igsq=0.0001
Reset #32, asq_eff=4.4e+00, igsq=0.0001
Reset #33, asq_eff=4.4e+00, igsq=0.0001
Reset #34, asq_eff=4.2e+00, igsq=0.0001
Reset #35, asq_eff=4.2e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=4.22e+00, N_step=237
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Reset #1, asq_eff=1.8e+01, igsq=0.001
Reset #2, asq_eff=5.0e+00, igsq=0.001
Reset #3, asq_eff=4.8e+00, igsq=0.001
Reset #4, asq_eff=4.9e+00, igsq=0.001
Reset #5, asq_eff=4.7e+00, igsq=0.001
Steps remaining: 75, asq_eff=4.4e+00, igsq=0.001
Reset #6, asq_eff=4.4e+00, igsq=0.001
Reset #7, asq_eff=4.4e+00, igsq=0.001
Reset #8, asq_eff=4.0e+00, igsq=0.001
Reset #9, asq_eff=4.0e+00, igsq=0.001
Reset #10, asq_eff=4.0e+00, igsq=0.001
Reset #11, asq_eff=4.0e+00, igsq=0.001
Reset #12, asq_eff=4.0e+00, igsq=0.001
Reset #13, asq_eff=3.9e+00, igsq=0.001
Steps remaining: 68, asq_eff=3.8e+00, igsq=0.001
Reset #14, asq_eff=3.9e+00, igsq=0.001
Reset #15, asq_eff=3.7e+00, igsq=0.001
Reset #16, asq_eff=3.8e+00, igsq=0.001
Reset #17, asq_eff=3.6e+00, igsq=0.001
Reset #18, asq_eff=3.6e+00, igsq=0.001
Reset #19, asq_eff=3.5e+00, igsq=0.001
Reset #20, asq_eff=3.6e+00, igsq=0.001
Reset #21, asq_eff=3.5e+00, igsq=0.001
Reset #22, asq_eff=3.1e+00, igsq=0.001
Reset #23, asq_eff=3.1e+00, igsq=0.001
Reset #24, asq_eff=3.2e+00, igsq=0.001
Reset #25, asq_eff=3.1e+00, igsq=0.001
Reset #26, asq_eff=3.2e+00, igsq=0.001
Reset #27, asq_eff=3.1e+00, igsq=0.001
Reset #28, asq_eff=3.1e+00, igsq=0.001
Reset #29, asq_eff=3.1e+00, igsq=0.001
Reset #30, asq_eff=3.0e+00, igsq=0.001
Reset #31, asq_eff=3.0e+00, igsq=0.001
Reset #32, asq_eff=3.0e+00, igsq=0.001
Reset #33, asq_eff=3.1e+00, igsq=0.001
Reset #34, asq_eff=3.1e+00, igsq=0.001
Reset #35, asq_eff=3.1e+00, igsq=0.001
Steps remaining: 53, asq_eff=2.8e+00, igsq=0.001
Reset #36, asq_eff=2.9e+00, igsq=0.001
Reset #37, asq_eff=2.9e+00, igsq=0.001
Reset #38, asq_eff=2.9e+00, igsq=0.001
Reset #39, asq_eff=3.0e+00, igsq=0.001
Reset #40, asq_eff=3.0e+00, igsq=0.001
Reset #41, asq_eff=2.9e+00, igsq=0.001
Reset #42, asq_eff=2.9e+00, igsq=0.001
Reset #43, asq_eff=2.9e+00, igsq=0.001
Steps remaining: 53, asq_eff=2.8e+00, igsq=0.001
Reset #44, asq_eff=2.8e+00, igsq=0.001
Reset #45, asq_eff=2.8e+00, igsq=0.001
Reset #46, asq_eff=2.9e+00, igsq=0.001
Reset #47, asq_eff=2.9e+00, igsq=0.001
Reset #48, asq_eff=2.9e+00, igsq=0.001
Reset #49, asq_eff=2.9e+00, igsq=0.001
Reset #50, asq_eff=2.9e+00, igsq=0.001
Non-optimal solve at igsq=1.00e-03 and asq=2.87e+00, N_step=302
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Reset #1, asq_eff=6.5e+00, igsq=0.01
Reset #2, asq_eff=5.9e+00, igsq=0.01
Reset #3, asq_eff=5.7e+00, igsq=0.01
Reset #4, asq_eff=5.8e+00, igsq=0.01
Reset #5, asq_eff=5.4e+00, igsq=0.01
Reset #6, asq_eff=5.5e+00, igsq=0.01
Steps remaining: 80, asq_eff=4.8e+00, igsq=0.01
Reset #7, asq_eff=4.5e+00, igsq=0.01
Reset #8, asq_eff=4.3e+00, igsq=0.01
Reset #9, asq_eff=4.3e+00, igsq=0.01
Reset #10, asq_eff=4.4e+00, igsq=0.01
Reset #11, asq_eff=4.4e+00, igsq=0.01
Reset #12, asq_eff=4.5e+00, igsq=0.01
Reset #13, asq_eff=4.3e+00, igsq=0.01
Reset #14, asq_eff=4.4e+00, igsq=0.01
Reset #15, asq_eff=4.3e+00, igsq=0.01
Reset #16, asq_eff=4.3e+00, igsq=0.01
Reset #17, asq_eff=4.3e+00, igsq=0.01
Reset #18, asq_eff=4.3e+00, igsq=0.01
Reset #19, asq_eff=4.3e+00, igsq=0.01
Reset #20, asq_eff=4.3e+00, igsq=0.01
Reset #21, asq_eff=4.3e+00, igsq=0.01
Reset #22, asq_eff=4.1e+00, igsq=0.01
Reset #23, asq_eff=4.1e+00, igsq=0.01
Reset #24, asq_eff=4.1e+00, igsq=0.01
Reset #25, asq_eff=4.1e+00, igsq=0.01
Reset #26, asq_eff=4.1e+00, igsq=0.01
Reset #27, asq_eff=4.2e+00, igsq=0.01
Reset #28, asq_eff=4.2e+00, igsq=0.01
Reset #29, asq_eff=4.1e+00, igsq=0.01
Reset #30, asq_eff=3.8e+00, igsq=0.01
Reset #31, asq_eff=3.7e+00, igsq=0.01
Steps remaining: 65, asq_eff=3.6e+00, igsq=0.01
Reset #32, asq_eff=3.7e+00, igsq=0.01
Reset #33, asq_eff=3.7e+00, igsq=0.01
Reset #34, asq_eff=3.5e+00, igsq=0.01
Reset #35, asq_eff=3.6e+00, igsq=0.01
Reset #36, asq_eff=3.6e+00, igsq=0.01
Reset #37, asq_eff=3.5e+00, igsq=0.01
Reset #38, asq_eff=3.5e+00, igsq=0.01
Reset #39, asq_eff=3.5e+00, igsq=0.01
Steps remaining: 62, asq_eff=3.4e+00, igsq=0.01
Reset #40, asq_eff=3.5e+00, igsq=0.01
Reset #41, asq_eff=3.4e+00, igsq=0.01
Reset #42, asq_eff=3.3e+00, igsq=0.01
Reset #43, asq_eff=3.3e+00, igsq=0.01
Reset #44, asq_eff=3.2e+00, igsq=0.01
Reset #45, asq_eff=3.2e+00, igsq=0.01
Reset #46, asq_eff=3.0e+00, igsq=0.01
Steps remaining: 54, asq_eff=2.9e+00, igsq=0.01
Reset #47, asq_eff=3.0e+00, igsq=0.01
Reset #48, asq_eff=2.9e+00, igsq=0.01
Reset #49, asq_eff=2.9e+00, igsq=0.01
Reset #50, asq_eff=3.0e+00, igsq=0.01
Reset #51, asq_eff=3.0e+00, igsq=0.01
Reset #52, asq_eff=3.0e+00, igsq=0.01
Reset #53, asq_eff=2.9e+00, igsq=0.01
Reset #54, asq_eff=2.8e+00, igsq=0.01
Non-optimal solve at igsq=1.00e-02 and asq=2.78e+00, N_step=301
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.95
Reset #1, asq_eff=5.0e+01, igsq=0.95
Reset #2, asq_eff=4.6e+01, igsq=0.95
Reset #3, asq_eff=4.0e+01, igsq=0.95
Reset #4, asq_eff=3.8e+01, igsq=0.95
Reset #5, asq_eff=3.6e+01, igsq=0.95
Reset #6, asq_eff=3.6e+01, igsq=0.95
Reset #7, asq_eff=3.6e+01, igsq=0.95
Reset #8, asq_eff=3.6e+01, igsq=0.95
Reset #9, asq_eff=3.6e+01, igsq=0.95
Reset #10, asq_eff=3.6e+01, igsq=0.95
Reset #11, asq_eff=3.6e+01, igsq=0.95
Reset #12, asq_eff=3.6e+01, igsq=0.95
Reset #13, asq_eff=3.6e+01, igsq=0.95
Reset #14, asq_eff=3.6e+01, igsq=0.95
Reset #15, asq_eff=3.6e+01, igsq=0.95
Reset #16, asq_eff=3.6e+01, igsq=0.95
Reset #17, asq_eff=3.6e+01, igsq=0.95
Reset #18, asq_eff=3.6e+01, igsq=0.95
Reset #19, asq_eff=3.6e+01, igsq=0.95
Reset #20, asq_eff=3.6e+01, igsq=0.95
Reset #21, asq_eff=3.6e+01, igsq=0.95
Reset #22, asq_eff=3.6e+01, igsq=0.95
Steps remaining: 179, asq_eff=3.5e+01, igsq=0.95
Reset #23, asq_eff=3.6e+01, igsq=0.95
Reset #24, asq_eff=3.6e+01, igsq=0.95
Reset #25, asq_eff=3.6e+01, igsq=0.95
Reset #26, asq_eff=3.6e+01, igsq=0.95
Reset #27, asq_eff=3.6e+01, igsq=0.95
Reset #28, asq_eff=3.6e+01, igsq=0.95
Reset #29, asq_eff=3.6e+01, igsq=0.95
Reset #30, asq_eff=3.6e+01, igsq=0.95
Reset #31, asq_eff=3.6e+01, igsq=0.95
Reset #32, asq_eff=3.6e+01, igsq=0.95
Reset #33, asq_eff=3.6e+01, igsq=0.95
Reset #34, asq_eff=3.5e+01, igsq=0.95
Steps remaining: 179, asq_eff=3.5e+01, igsq=0.95
Reset #35, asq_eff=3.6e+01, igsq=0.95
Reset #36, asq_eff=3.5e+01, igsq=0.95
Reset #37, asq_eff=3.6e+01, igsq=0.95
Reset #38, asq_eff=3.5e+01, igsq=0.95
Reset #39, asq_eff=3.6e+01, igsq=0.95
Reset #40, asq_eff=3.5e+01, igsq=0.95
Reset #41, asq_eff=3.6e+01, igsq=0.95
Reset #42, asq_eff=3.5e+01, igsq=0.95
Reset #43, asq_eff=3.6e+01, igsq=0.95
Reset #44, asq_eff=3.5e+01, igsq=0.95
Reset #45, asq_eff=3.6e+01, igsq=0.95
Reset #46, asq_eff=3.5e+01, igsq=0.95
Steps remaining: 179, asq_eff=3.5e+01, igsq=0.95
Failed on igsq:  0.95 Failed to find a finite solution.
Reset #47, asq_eff=3.6e+01, igsq=0.95
Reset #48, asq_eff=3.5e+01, igsq=0.95
Reset #49, asq_eff=3.6e+01, igsq=0.95
Reset #50, asq_eff=3.5e+01, igsq=0.95
Reset #51, asq_eff=3.5e+01, igsq=0.95
Reset #52, asq_eff=3.5e+01, igsq=0.95
Reset #53, asq_eff=3.5e+01, igsq=0.95
Reset #54, asq_eff=3.5e+01, igsq=0.95
Reset #55, asq_eff=3.5e+01, igsq=0.95
Reset #56, asq_eff=3.5e+01, igsq=0.95
Reset #57, asq_eff=3.5e+01, igsq=0.95
Reset #58, asq_eff=3.5e+01, igsq=0.95
Steps remaining: 179, asq_eff=3.5e+01, igsq=0.95
Reset #59, asq_eff=3.5e+01, igsq=0.95
Reset #60, asq_eff=3.5e+01, igsq=0.95
Reset #61, asq_eff=3.5e+01, igsq=0.95
Reset #62, asq_eff=3.5e+01, igsq=0.95
Reset #63, asq_eff=3.5e+01, igsq=0.95
Reset #64, asq_eff=3.5e+01, igsq=0.95
Reset #65, asq_eff=3.5e+01, igsq=0.95
Reset #66, asq_eff=3.5e+01, igsq=0.95
Failed on igsq:  0.95 Failed to find a finite solution.
Reset #67, asq_eff=3.5e+01, igsq=0.95
Reset #68, asq_eff=3.5e+01, igsq=0.95
Reset #69, asq_eff=3.5e+01, igsq=0.95
Reset #70, asq_eff=3.5e+01, igsq=0.95
Reset #71, asq_eff=3.5e+01, igsq=0.95
Reset #72, asq_eff=3.5e+01, igsq=0.95
Reset #73, asq_eff=3.5e+01, igsq=0.95
Reset #74, asq_eff=3.5e+01, igsq=0.95
Reset #75, asq_eff=3.5e+01, igsq=0.95
Reset #76, asq_eff=3.5e+01, igsq=0.95
Reset #77, asq_eff=3.4e+01, igsq=0.95
Reset #78, asq_eff=3.5e+01, igsq=0.95
Reset #79, asq_eff=3.4e+01, igsq=0.95
Reset #80, asq_eff=3.5e+01, igsq=0.95
Reset #81, asq_eff=3.4e+01, igsq=0.95
Reset #82, asq_eff=3.5e+01, igsq=0.95
Non-optimal solve at igsq=9.50e-01 and asq=3.40e+01, N_step=301
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  1
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  2
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  3
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  4
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  5
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  6

LPL []
MPL []
eq37 Before S: 140360.25972246728
eq37  S: 2.2794720713723794e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=2.5e+01, igsq=1e-06
Reset #2, asq_eff=2.3e+01, igsq=1e-06
Reset #3, asq_eff=1.4e+01, igsq=1e-06
Reset #4, asq_eff=1.3e+01, igsq=1e-06
Reset #5, asq_eff=1.3e+01, igsq=1e-06
Reset #6, asq_eff=1.3e+01, igsq=1e-06
Reset #7, asq_eff=1.3e+01, igsq=1e-06
Reset #8, asq_eff=1.3e+01, igsq=1e-06
Steps remaining: 128, asq_eff=1.3e+01, igsq=1e-06
Reset #9, asq_eff=1.1e+01, igsq=1e-06
Reset #10, asq_eff=1.0e+01, igsq=1e-06
Reset #11, asq_eff=1.0e+01, igsq=1e-06
Reset #12, asq_eff=1.0e+01, igsq=1e-06
Reset #13, asq_eff=1.0e+01, igsq=1e-06
Steps remaining: 111, asq_eff=9.0e+00, igsq=1e-06
Reset #14, asq_eff=8.6e+00, igsq=1e-06
Reset #15, asq_eff=8.4e+00, igsq=1e-06
Reset #16, asq_eff=8.4e+00, igsq=1e-06
Reset #17, asq_eff=8.5e+00, igsq=1e-06
Reset #18, asq_eff=7.8e+00, igsq=1e-06
Reset #19, asq_eff=7.6e+00, igsq=1e-06
Reset #20, asq_eff=7.5e+00, igsq=1e-06
Reset #21, asq_eff=7.6e+00, igsq=1e-06
Reset #22, asq_eff=7.6e+00, igsq=1e-06
Reset #23, asq_eff=7.6e+00, igsq=1e-06
Reset #24, asq_eff=7.6e+00, igsq=1e-06
Reset #25, asq_eff=7.7e+00, igsq=1e-06
Reset #26, asq_eff=7.8e+00, igsq=1e-06
Reset #27, asq_eff=7.9e+00, igsq=1e-06
Reset #28, asq_eff=7.9e+00, igsq=1e-06
Reset #29, asq_eff=7.9e+00, igsq=1e-06
Reset #30, asq_eff=7.9e+00, igsq=1e-06
Steps remaining: 104, asq_eff=7.8e+00, igsq=1e-06
Reset #31, asq_eff=7.9e+00, igsq=1e-06
Reset #32, asq_eff=7.9e+00, igsq=1e-06
Reset #33, asq_eff=8.0e+00, igsq=1e-06
Reset #34, asq_eff=8.1e+00, igsq=1e-06
Reset #35, asq_eff=8.0e+00, igsq=1e-06
Reset #36, asq_eff=8.1e+00, igsq=1e-06
Reset #37, asq_eff=7.4e+00, igsq=1e-06
Reset #38, asq_eff=7.5e+00, igsq=1e-06
Reset #39, asq_eff=7.4e+00, igsq=1e-06
Steps remaining: 100, asq_eff=7.3e+00, igsq=1e-06
Reset #40, asq_eff=7.1e+00, igsq=1e-06
Reset #41, asq_eff=7.1e+00, igsq=1e-06
Reset #42, asq_eff=7.2e+00, igsq=1e-06
Reset #43, asq_eff=7.3e+00, igsq=1e-06
Reset #44, asq_eff=7.3e+00, igsq=1e-06
Reset #45, asq_eff=7.3e+00, igsq=1e-06
Reset #46, asq_eff=6.8e+00, igsq=1e-06
Steps remaining: 94, asq_eff=6.4e+00, igsq=1e-06
Reset #47, asq_eff=6.5e+00, igsq=1e-06
Reset #48, asq_eff=6.5e+00, igsq=1e-06
Reset #49, asq_eff=6.6e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=6.59e+00, N_step=281
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=1.8e+01, igsq=1e-05
Reset #2, asq_eff=2.0e+01, igsq=1e-05
Reset #3, asq_eff=1.6e+01, igsq=1e-05
Reset #4, asq_eff=1.1e+01, igsq=1e-05
Reset #5, asq_eff=1.1e+01, igsq=1e-05
Reset #6, asq_eff=1.1e+01, igsq=1e-05
Reset #7, asq_eff=1.0e+01, igsq=1e-05
Reset #8, asq_eff=1.0e+01, igsq=1e-05
Reset #9, asq_eff=1.0e+01, igsq=1e-05
Reset #10, asq_eff=1.0e+01, igsq=1e-05
Reset #11, asq_eff=1.0e+01, igsq=1e-05
Reset #12, asq_eff=1.0e+01, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=1.02e+01, N_step=146
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=6.5e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=6.47e+00, N_step=101
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Reset #1, asq_eff=2.5e+01, igsq=0.001
Reset #2, asq_eff=8.3e+00, igsq=0.001
Reset #3, asq_eff=8.0e+00, igsq=0.001
Reset #4, asq_eff=8.2e+00, igsq=0.001
Reset #5, asq_eff=8.1e+00, igsq=0.001
Reset #6, asq_eff=8.2e+00, igsq=0.001
Reset #7, asq_eff=8.1e+00, igsq=0.001
Reset #8, asq_eff=8.2e+00, igsq=0.001
Reset #9, asq_eff=8.2e+00, igsq=0.001
Reset #10, asq_eff=8.0e+00, igsq=0.001
Reset #11, asq_eff=8.1e+00, igsq=0.001
Reset #12, asq_eff=8.0e+00, igsq=0.001
Reset #13, asq_eff=8.1e+00, igsq=0.001
Reset #14, asq_eff=7.7e+00, igsq=0.001
Reset #15, asq_eff=7.6e+00, igsq=0.001
Reset #16, asq_eff=7.5e+00, igsq=0.001
Reset #17, asq_eff=7.6e+00, igsq=0.001
Reset #18, asq_eff=7.7e+00, igsq=0.001
Reset #19, asq_eff=7.8e+00, igsq=0.001
Reset #20, asq_eff=7.5e+00, igsq=0.001
Reset #21, asq_eff=7.3e+00, igsq=0.001
Reset #22, asq_eff=7.4e+00, igsq=0.001
Reset #23, asq_eff=7.0e+00, igsq=0.001
Reset #24, asq_eff=7.1e+00, igsq=0.001
Reset #25, asq_eff=7.2e+00, igsq=0.001
Reset #26, asq_eff=7.3e+00, igsq=0.001
Reset #27, asq_eff=7.2e+00, igsq=0.001
Reset #28, asq_eff=7.3e+00, igsq=0.001
Reset #29, asq_eff=6.9e+00, igsq=0.001
Reset #30, asq_eff=7.0e+00, igsq=0.001
Reset #31, asq_eff=6.8e+00, igsq=0.001
Reset #32, asq_eff=6.4e+00, igsq=0.001
Reset #33, asq_eff=6.5e+00, igsq=0.001
Reset #34, asq_eff=6.4e+00, igsq=0.001
Reset #35, asq_eff=6.5e+00, igsq=0.001
Reset #36, asq_eff=5.9e+00, igsq=0.001
Reset #37, asq_eff=5.9e+00, igsq=0.001
Reset #38, asq_eff=5.8e+00, igsq=0.001
Reset #39, asq_eff=5.9e+00, igsq=0.001
Reset #40, asq_eff=5.8e+00, igsq=0.001
Steps remaining: 87, asq_eff=5.6e+00, igsq=0.001
Reset #41, asq_eff=5.8e+00, igsq=0.001
Reset #42, asq_eff=5.6e+00, igsq=0.001
Reset #43, asq_eff=5.7e+00, igsq=0.001
Reset #44, asq_eff=5.7e+00, igsq=0.001
Reset #45, asq_eff=5.7e+00, igsq=0.001
Reset #46, asq_eff=5.7e+00, igsq=0.001
Reset #47, asq_eff=5.7e+00, igsq=0.001
Reset #48, asq_eff=5.7e+00, igsq=0.001
Steps remaining: 83, asq_eff=5.2e+00, igsq=0.001
Reset #49, asq_eff=5.1e+00, igsq=0.001
Reset #50, asq_eff=5.2e+00, igsq=0.001
Reset #51, asq_eff=5.0e+00, igsq=0.001
Reset #52, asq_eff=5.1e+00, igsq=0.001
Reset #53, asq_eff=5.1e+00, igsq=0.001
Reset #54, asq_eff=5.1e+00, igsq=0.001
Reset #55, asq_eff=5.1e+00, igsq=0.001
Reset #56, asq_eff=4.9e+00, igsq=0.001
Reset #57, asq_eff=4.9e+00, igsq=0.001
Non-optimal solve at igsq=1.00e-03 and asq=4.83e+00, N_step=302
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.95
Reset #1, asq_eff=5.0e+01, igsq=0.95
Reset #2, asq_eff=3.8e+01, igsq=0.95
Reset #3, asq_eff=3.7e+01, igsq=0.95
Reset #4, asq_eff=3.6e+01, igsq=0.95
Reset #5, asq_eff=3.6e+01, igsq=0.95
Reset #6, asq_eff=3.6e+01, igsq=0.95
Reset #7, asq_eff=3.6e+01, igsq=0.95
Reset #8, asq_eff=3.6e+01, igsq=0.95
Reset #9, asq_eff=3.6e+01, igsq=0.95
Reset #10, asq_eff=3.6e+01, igsq=0.95
Reset #11, asq_eff=3.6e+01, igsq=0.95
Reset #12, asq_eff=3.6e+01, igsq=0.95
Reset #13, asq_eff=3.6e+01, igsq=0.95
Reset #14, asq_eff=3.6e+01, igsq=0.95
Reset #15, asq_eff=3.6e+01, igsq=0.95
Reset #16, asq_eff=3.6e+01, igsq=0.95
Reset #17, asq_eff=3.6e+01, igsq=0.95
Reset #18, asq_eff=3.6e+01, igsq=0.95
Reset #19, asq_eff=3.6e+01, igsq=0.95
Reset #20, asq_eff=3.6e+01, igsq=0.95
Failed on igsq:  0.95 Failed to find a finite solution.
Reset #21, asq_eff=3.6e+01, igsq=0.95
Reset #22, asq_eff=3.6e+01, igsq=0.95
Reset #23, asq_eff=3.6e+01, igsq=0.95
Reset #24, asq_eff=3.6e+01, igsq=0.95
Reset #25, asq_eff=3.6e+01, igsq=0.95
Reset #26, asq_eff=3.6e+01, igsq=0.95
Reset #27, asq_eff=3.6e+01, igsq=0.95
Reset #28, asq_eff=3.6e+01, igsq=0.95
Reset #29, asq_eff=3.6e+01, igsq=0.95
Reset #30, asq_eff=3.6e+01, igsq=0.95
Reset #31, asq_eff=3.6e+01, igsq=0.95
Reset #32, asq_eff=3.6e+01, igsq=0.95
Reset #33, asq_eff=3.6e+01, igsq=0.95
Reset #34, asq_eff=3.6e+01, igsq=0.95
Reset #35, asq_eff=3.6e+01, igsq=0.95
Reset #36, asq_eff=3.6e+01, igsq=0.95
Reset #37, asq_eff=3.6e+01, igsq=0.95
Reset #38, asq_eff=3.5e+01, igsq=0.95
Reset #39, asq_eff=3.6e+01, igsq=0.95
Reset #40, asq_eff=3.5e+01, igsq=0.95
Reset #41, asq_eff=3.6e+01, igsq=0.95
Reset #42, asq_eff=3.5e+01, igsq=0.95
Reset #43, asq_eff=3.6e+01, igsq=0.95
Reset #44, asq_eff=3.5e+01, igsq=0.95
Reset #45, asq_eff=3.6e+01, igsq=0.95
Reset #46, asq_eff=3.5e+01, igsq=0.95
Reset #47, asq_eff=3.6e+01, igsq=0.95
Steps remaining: 179, asq_eff=3.4e+01, igsq=0.95
Reset #48, asq_eff=3.5e+01, igsq=0.95
Reset #49, asq_eff=3.6e+01, igsq=0.95
Reset #50, asq_eff=3.5e+01, igsq=0.95
Reset #51, asq_eff=3.6e+01, igsq=0.95
Reset #52, asq_eff=3.5e+01, igsq=0.95
Reset #53, asq_eff=3.6e+01, igsq=0.95
Reset #54, asq_eff=3.5e+01, igsq=0.95
Reset #55, asq_eff=3.6e+01, igsq=0.95
Reset #56, asq_eff=3.5e+01, igsq=0.95
Reset #57, asq_eff=3.6e+01, igsq=0.95
Reset #58, asq_eff=3.5e+01, igsq=0.95
Reset #59, asq_eff=3.6e+01, igsq=0.95
Steps remaining: 179, asq_eff=3.4e+01, igsq=0.95
Reset #60, asq_eff=3.5e+01, igsq=0.95
Reset #61, asq_eff=3.6e+01, igsq=0.95
Reset #62, asq_eff=3.5e+01, igsq=0.95
Reset #63, asq_eff=3.6e+01, igsq=0.95
Reset #64, asq_eff=3.5e+01, igsq=0.95
Reset #65, asq_eff=3.5e+01, igsq=0.95
Failed on igsq:  0.95 Failed to find a finite solution.
Reset #66, asq_eff=3.5e+01, igsq=0.95
Reset #67, asq_eff=3.5e+01, igsq=0.95
Reset #68, asq_eff=3.5e+01, igsq=0.95
Reset #69, asq_eff=3.5e+01, igsq=0.95
Reset #70, asq_eff=3.5e+01, igsq=0.95
Failed on igsq:  0.95 Failed to find a finite solution.
Reset #71, asq_eff=3.5e+01, igsq=0.95
Steps remaining: 179, asq_eff=3.4e+01, igsq=0.95
Reset #72, asq_eff=3.5e+01, igsq=0.95
Reset #73, asq_eff=3.5e+01, igsq=0.95
Reset #74, asq_eff=3.5e+01, igsq=0.95
Reset #75, asq_eff=3.5e+01, igsq=0.95
Reset #76, asq_eff=3.5e+01, igsq=0.95
Reset #77, asq_eff=3.5e+01, igsq=0.95
Reset #78, asq_eff=3.5e+01, igsq=0.95
Reset #79, asq_eff=3.5e+01, igsq=0.95
Reset #80, asq_eff=3.5e+01, igsq=0.95
Reset #81, asq_eff=3.5e+01, igsq=0.95
Reset #82, asq_eff=3.5e+01, igsq=0.95
Reset #83, asq_eff=3.5e+01, igsq=0.95
Steps remaining: 179, asq_eff=3.4e+01, igsq=0.95
Reset #84, asq_eff=3.5e+01, igsq=0.95
Non-optimal solve at igsq=9.50e-01 and asq=3.47e+01, N_step=302
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  7
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  8
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  9
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  10
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  11
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  12
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  13

LPL []
MPL []
eq37 Before S: 671169.5416520508
eq37  S: 7.074552033802967e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=6.5e+00, igsq=1e-06
Reset #2, asq_eff=7.0e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=7.04e+00, N_step=105
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=1.8e+01, igsq=1e-05
Reset #2, asq_eff=9.9e+00, igsq=1e-05
Reset #3, asq_eff=9.5e+00, igsq=1e-05
Reset #4, asq_eff=9.7e+00, igsq=1e-05
Reset #5, asq_eff=9.8e+00, igsq=1e-05
Reset #6, asq_eff=9.9e+00, igsq=1e-05
Reset #7, asq_eff=9.6e+00, igsq=1e-05
Steps remaining: 113, asq_eff=9.4e+00, igsq=1e-05
Reset #8, asq_eff=9.5e+00, igsq=1e-05
Reset #9, asq_eff=9.2e+00, igsq=1e-05
Reset #10, asq_eff=9.1e+00, igsq=1e-05
Reset #11, asq_eff=9.0e+00, igsq=1e-05
Reset #12, asq_eff=9.1e+00, igsq=1e-05
Reset #13, asq_eff=8.5e+00, igsq=1e-05
Reset #14, asq_eff=8.6e+00, igsq=1e-05
Reset #15, asq_eff=8.7e+00, igsq=1e-05
Reset #16, asq_eff=8.6e+00, igsq=1e-05
Reset #17, asq_eff=8.7e+00, igsq=1e-05
Reset #18, asq_eff=8.8e+00, igsq=1e-05
Reset #19, asq_eff=8.7e+00, igsq=1e-05
Reset #20, asq_eff=8.6e+00, igsq=1e-05
Reset #21, asq_eff=8.7e+00, igsq=1e-05
Reset #22, asq_eff=8.6e+00, igsq=1e-05
Reset #23, asq_eff=8.7e+00, igsq=1e-05
Steps remaining: 108, asq_eff=8.5e+00, igsq=1e-05
Reset #24, asq_eff=8.8e+00, igsq=1e-05
Reset #25, asq_eff=8.4e+00, igsq=1e-05
Reset #26, asq_eff=8.4e+00, igsq=1e-05
Reset #27, asq_eff=8.5e+00, igsq=1e-05
Reset #28, asq_eff=8.6e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=8.60e+00, N_step=198
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=4.6e+00, igsq=0.0001
Reset #2, asq_eff=5.0e+00, igsq=0.0001
Reset #3, asq_eff=4.8e+00, igsq=0.0001
Reset #4, asq_eff=4.9e+00, igsq=0.0001
Reset #5, asq_eff=5.0e+00, igsq=0.0001
Reset #6, asq_eff=4.8e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=4.82e+00, N_step=122
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Reset #1, asq_eff=1.8e+01, igsq=0.001
Reset #2, asq_eff=1.2e+01, igsq=0.001
Reset #3, asq_eff=8.7e+00, igsq=0.001
Reset #4, asq_eff=7.2e+00, igsq=0.001
Non-optimal solve at igsq=1.00e-03 and asq=7.19e+00, N_step=116
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Reset #1, asq_eff=3.5e+01, igsq=0.95
Reset #2, asq_eff=3.2e+01, igsq=0.95
Reset #3, asq_eff=3.4e+01, igsq=0.95
Reset #4, asq_eff=2.9e+01, igsq=0.95
Reset #5, asq_eff=2.9e+01, igsq=0.95
Reset #6, asq_eff=2.9e+01, igsq=0.95
Reset #7, asq_eff=2.9e+01, igsq=0.95
Reset #8, asq_eff=2.9e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=2.86e+01, N_step=118
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  14
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  15
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  16
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  17
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  18
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  19
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  20

LPL []
MPL []
eq37 Before S: 3209373.7212245367
eq37  S: 1.9155328635615186e-05
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=1.8e+01, igsq=1e-06
Reset #2, asq_eff=1.6e+01, igsq=1e-06
Reset #3, asq_eff=1.3e+01, igsq=1e-06
Reset #4, asq_eff=1.3e+01, igsq=1e-06
Reset #5, asq_eff=1.3e+01, igsq=1e-06
Reset #6, asq_eff=1.3e+01, igsq=1e-06
Reset #7, asq_eff=1.3e+01, igsq=1e-06
Steps remaining: 126, asq_eff=1.2e+01, igsq=1e-06
Reset #8, asq_eff=1.2e+01, igsq=1e-06
Reset #9, asq_eff=1.2e+01, igsq=1e-06
Reset #10, asq_eff=1.2e+01, igsq=1e-06
Reset #11, asq_eff=1.2e+01, igsq=1e-06
Reset #12, asq_eff=1.2e+01, igsq=1e-06
Reset #13, asq_eff=1.2e+01, igsq=1e-06
Reset #14, asq_eff=1.2e+01, igsq=1e-06
Reset #15, asq_eff=1.2e+01, igsq=1e-06
Reset #16, asq_eff=1.2e+01, igsq=1e-06
Steps remaining: 125, asq_eff=1.2e+01, igsq=1e-06
Reset #17, asq_eff=1.2e+01, igsq=1e-06
Reset #18, asq_eff=1.2e+01, igsq=1e-06
Reset #19, asq_eff=1.1e+01, igsq=1e-06
Reset #20, asq_eff=1.1e+01, igsq=1e-06
Reset #21, asq_eff=1.1e+01, igsq=1e-06
Reset #22, asq_eff=1.1e+01, igsq=1e-06
Reset #23, asq_eff=1.1e+01, igsq=1e-06
Reset #24, asq_eff=1.1e+01, igsq=1e-06
Reset #25, asq_eff=1.1e+01, igsq=1e-06
Steps remaining: 121, asq_eff=1.1e+01, igsq=1e-06
Reset #26, asq_eff=1.1e+01, igsq=1e-06
Reset #27, asq_eff=1.1e+01, igsq=1e-06
Reset #28, asq_eff=1.1e+01, igsq=1e-06
Reset #29, asq_eff=1.1e+01, igsq=1e-06
Reset #30, asq_eff=1.1e+01, igsq=1e-06
Reset #31, asq_eff=1.1e+01, igsq=1e-06
Reset #32, asq_eff=1.1e+01, igsq=1e-06
Reset #33, asq_eff=1.1e+01, igsq=1e-06
Reset #34, asq_eff=1.1e+01, igsq=1e-06
Reset #35, asq_eff=1.1e+01, igsq=1e-06
Reset #36, asq_eff=1.1e+01, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=1.09e+01, N_step=221
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=2.5e+01, igsq=1e-05
Reset #2, asq_eff=2.0e+01, igsq=1e-05
Reset #3, asq_eff=1.9e+01, igsq=1e-05
Reset #4, asq_eff=1.8e+01, igsq=1e-05
Reset #5, asq_eff=1.8e+01, igsq=1e-05
Reset #6, asq_eff=1.7e+01, igsq=1e-05
Reset #7, asq_eff=1.7e+01, igsq=1e-05
Reset #8, asq_eff=1.7e+01, igsq=1e-05
Reset #9, asq_eff=1.7e+01, igsq=1e-05
Reset #10, asq_eff=1.6e+01, igsq=1e-05
Reset #11, asq_eff=1.6e+01, igsq=1e-05
Reset #12, asq_eff=1.6e+01, igsq=1e-05
Reset #13, asq_eff=1.5e+01, igsq=1e-05
Reset #14, asq_eff=1.4e+01, igsq=1e-05
Reset #15, asq_eff=1.4e+01, igsq=1e-05
Steps remaining: 131, asq_eff=1.3e+01, igsq=1e-05
Reset #16, asq_eff=1.4e+01, igsq=1e-05
Reset #17, asq_eff=1.4e+01, igsq=1e-05
Reset #18, asq_eff=1.4e+01, igsq=1e-05
Reset #19, asq_eff=1.3e+01, igsq=1e-05
Reset #20, asq_eff=1.3e+01, igsq=1e-05
Reset #21, asq_eff=1.3e+01, igsq=1e-05
Reset #22, asq_eff=1.3e+01, igsq=1e-05
Reset #23, asq_eff=1.3e+01, igsq=1e-05
Reset #24, asq_eff=1.3e+01, igsq=1e-05
Steps remaining: 127, asq_eff=1.2e+01, igsq=1e-05
Reset #25, asq_eff=1.3e+01, igsq=1e-05
Reset #26, asq_eff=1.3e+01, igsq=1e-05
Reset #27, asq_eff=1.2e+01, igsq=1e-05
Reset #28, asq_eff=1.2e+01, igsq=1e-05
Reset #29, asq_eff=1.2e+01, igsq=1e-05
Reset #30, asq_eff=1.2e+01, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=1.18e+01, N_step=210
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=1.8e+01, igsq=0.0001
Reset #2, asq_eff=1.6e+01, igsq=0.0001
Reset #3, asq_eff=1.7e+01, igsq=0.0001
Reset #4, asq_eff=1.7e+01, igsq=0.0001
Reset #5, asq_eff=1.6e+01, igsq=0.0001
Reset #6, asq_eff=1.6e+01, igsq=0.0001
Reset #7, asq_eff=1.7e+01, igsq=0.0001
Reset #8, asq_eff=1.7e+01, igsq=0.0001
Reset #9, asq_eff=1.7e+01, igsq=0.0001
Steps remaining: 141, asq_eff=1.6e+01, igsq=0.0001
Reset #10, asq_eff=1.5e+01, igsq=0.0001
Reset #11, asq_eff=1.5e+01, igsq=0.0001
Reset #12, asq_eff=1.5e+01, igsq=0.0001
Reset #13, asq_eff=1.5e+01, igsq=0.0001
Reset #14, asq_eff=1.5e+01, igsq=0.0001
Reset #15, asq_eff=1.4e+01, igsq=0.0001
Reset #16, asq_eff=1.4e+01, igsq=0.0001
Reset #17, asq_eff=1.4e+01, igsq=0.0001
Reset #18, asq_eff=1.4e+01, igsq=0.0001
Reset #19, asq_eff=1.4e+01, igsq=0.0001
Reset #20, asq_eff=1.4e+01, igsq=0.0001
Reset #21, asq_eff=1.4e+01, igsq=0.0001
Reset #22, asq_eff=1.4e+01, igsq=0.0001
Reset #23, asq_eff=1.4e+01, igsq=0.0001
Reset #24, asq_eff=1.4e+01, igsq=0.0001
Reset #25, asq_eff=1.4e+01, igsq=0.0001
Reset #26, asq_eff=1.4e+01, igsq=0.0001
Reset #27, asq_eff=1.4e+01, igsq=0.0001
Reset #28, asq_eff=1.4e+01, igsq=0.0001
Reset #29, asq_eff=1.4e+01, igsq=0.0001
Reset #30, asq_eff=1.4e+01, igsq=0.0001
Reset #31, asq_eff=1.4e+01, igsq=0.0001
Reset #32, asq_eff=1.4e+01, igsq=0.0001
Steps remaining: 127, asq_eff=1.2e+01, igsq=0.0001
Reset #33, asq_eff=1.3e+01, igsq=0.0001
Reset #34, asq_eff=1.3e+01, igsq=0.0001
Reset #35, asq_eff=1.2e+01, igsq=0.0001
Reset #36, asq_eff=1.2e+01, igsq=0.0001
Reset #37, asq_eff=1.2e+01, igsq=0.0001
Reset #38, asq_eff=1.2e+01, igsq=0.0001
Reset #39, asq_eff=1.2e+01, igsq=0.0001
Reset #40, asq_eff=1.1e+01, igsq=0.0001
Steps remaining: 120, asq_eff=1.1e+01, igsq=0.0001
Reset #41, asq_eff=1.0e+01, igsq=0.0001
Reset #42, asq_eff=1.0e+01, igsq=0.0001
Reset #43, asq_eff=9.5e+00, igsq=0.0001
Reset #44, asq_eff=9.6e+00, igsq=0.0001
Reset #45, asq_eff=9.7e+00, igsq=0.0001
Reset #46, asq_eff=9.8e+00, igsq=0.0001
Reset #47, asq_eff=9.9e+00, igsq=0.0001
Steps remaining: 115, asq_eff=9.7e+00, igsq=0.0001
Reset #48, asq_eff=9.6e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=9.64e+00, N_step=278
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Reset #1, asq_eff=4.6e+00, igsq=0.001
Reset #2, asq_eff=3.6e+00, igsq=0.001
Reset #3, asq_eff=2.9e+00, igsq=0.001
Reset #4, asq_eff=3.0e+00, igsq=0.001
Reset #5, asq_eff=3.0e+00, igsq=0.001
Reset #6, asq_eff=3.0e+00, igsq=0.001
Reset #7, asq_eff=3.0e+00, igsq=0.001
Reset #8, asq_eff=3.0e+00, igsq=0.001
Non-optimal solve at igsq=1.00e-03 and asq=3.01e+00, N_step=132
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Non-optimal solve at igsq=1.00e-01 and asq=1.00e+00, N_step=105
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Non-optimal solve at igsq=1.00e-01 and asq=1.00e+00, N_step=105
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Reset #1, asq_eff=2.3e+00, igsq=0.15687174265360496
Reset #2, asq_eff=1.3e+00, igsq=0.15687174265360496
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.57e-01 and asq=1.00e+00, N_step=114
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=6.06e-01 and asq=1.00e+00, N_step=105
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Reset #1, asq_eff=3.5e+01, igsq=0.95
Reset #2, asq_eff=3.2e+01, igsq=0.95
Reset #3, asq_eff=2.6e+01, igsq=0.95
Reset #4, asq_eff=2.6e+01, igsq=0.95
Reset #5, asq_eff=2.4e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Reset #6, asq_eff=2.4e+01, igsq=0.95
Reset #7, asq_eff=2.4e+01, igsq=0.95
Reset #8, asq_eff=2.4e+01, igsq=0.95
Reset #9, asq_eff=2.4e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=2.43e+01, N_step=122
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  21
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  22
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  23

LPL []
MPL []
eq37 Before S: 15346463.627425622
eq37  S: 6.89330142499726e-05
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=2.5e+01, igsq=1e-06
Reset #2, asq_eff=2.7e+01, igsq=1e-06
Reset #3, asq_eff=2.2e+01, igsq=1e-06
Reset #4, asq_eff=2.3e+01, igsq=1e-06
Reset #5, asq_eff=2.1e+01, igsq=1e-06
Reset #6, asq_eff=2.0e+01, igsq=1e-06
Reset #7, asq_eff=2.1e+01, igsq=1e-06
Steps remaining: 150, asq_eff=1.9e+01, igsq=1e-06
Reset #8, asq_eff=2.0e+01, igsq=1e-06
Reset #9, asq_eff=1.9e+01, igsq=1e-06
Reset #10, asq_eff=1.9e+01, igsq=1e-06
Reset #11, asq_eff=1.9e+01, igsq=1e-06
Reset #12, asq_eff=2.0e+01, igsq=1e-06
Reset #13, asq_eff=1.7e+01, igsq=1e-06
Reset #14, asq_eff=1.7e+01, igsq=1e-06
Reset #15, asq_eff=1.7e+01, igsq=1e-06
Steps remaining: 142, asq_eff=1.7e+01, igsq=1e-06
Reset #16, asq_eff=1.6e+01, igsq=1e-06
Reset #17, asq_eff=1.5e+01, igsq=1e-06
Reset #18, asq_eff=1.4e+01, igsq=1e-06
Reset #19, asq_eff=1.4e+01, igsq=1e-06
Reset #20, asq_eff=1.3e+01, igsq=1e-06
Reset #21, asq_eff=1.3e+01, igsq=1e-06
Steps remaining: 130, asq_eff=1.3e+01, igsq=1e-06
Reset #22, asq_eff=1.2e+01, igsq=1e-06
Reset #23, asq_eff=1.2e+01, igsq=1e-06
Reset #24, asq_eff=1.2e+01, igsq=1e-06
Reset #25, asq_eff=1.2e+01, igsq=1e-06
Reset #26, asq_eff=1.2e+01, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=1.22e+01, N_step=206
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=1.8e+01, igsq=1e-05
Reset #2, asq_eff=1.4e+01, igsq=1e-05
Reset #3, asq_eff=1.4e+01, igsq=1e-05
Reset #4, asq_eff=1.5e+01, igsq=1e-05
Reset #5, asq_eff=1.4e+01, igsq=1e-05
Reset #6, asq_eff=1.4e+01, igsq=1e-05
Reset #7, asq_eff=1.4e+01, igsq=1e-05
Steps remaining: 131, asq_eff=1.3e+01, igsq=1e-05
Reset #8, asq_eff=1.4e+01, igsq=1e-05
Reset #9, asq_eff=1.3e+01, igsq=1e-05
Reset #10, asq_eff=1.4e+01, igsq=1e-05
Reset #11, asq_eff=1.4e+01, igsq=1e-05
Reset #12, asq_eff=1.4e+01, igsq=1e-05
Reset #13, asq_eff=1.4e+01, igsq=1e-05
Reset #14, asq_eff=1.3e+01, igsq=1e-05
Reset #15, asq_eff=1.3e+01, igsq=1e-05
Reset #16, asq_eff=1.3e+01, igsq=1e-05
Reset #17, asq_eff=1.3e+01, igsq=1e-05
Reset #18, asq_eff=1.4e+01, igsq=1e-05
Reset #19, asq_eff=1.3e+01, igsq=1e-05
Reset #20, asq_eff=1.3e+01, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=1.31e+01, N_step=167
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=3.5e+01, igsq=0.0001
Reset #2, asq_eff=2.0e+01, igsq=0.0001
Reset #3, asq_eff=1.7e+01, igsq=0.0001
Reset #4, asq_eff=1.8e+01, igsq=0.0001
Reset #5, asq_eff=1.6e+01, igsq=0.0001
Reset #6, asq_eff=1.6e+01, igsq=0.0001
Steps remaining: 138, asq_eff=1.5e+01, igsq=0.0001
Reset #7, asq_eff=1.6e+01, igsq=0.0001
Reset #8, asq_eff=1.6e+01, igsq=0.0001
Reset #9, asq_eff=1.6e+01, igsq=0.0001
Reset #10, asq_eff=1.6e+01, igsq=0.0001
Reset #11, asq_eff=1.6e+01, igsq=0.0001
Reset #12, asq_eff=1.6e+01, igsq=0.0001
Reset #13, asq_eff=1.6e+01, igsq=0.0001
Reset #14, asq_eff=1.5e+01, igsq=0.0001
Reset #15, asq_eff=1.6e+01, igsq=0.0001
Reset #16, asq_eff=1.5e+01, igsq=0.0001
Reset #17, asq_eff=1.5e+01, igsq=0.0001
Reset #18, asq_eff=1.5e+01, igsq=0.0001
Reset #19, asq_eff=1.4e+01, igsq=0.0001
Reset #20, asq_eff=1.4e+01, igsq=0.0001
Reset #21, asq_eff=1.4e+01, igsq=0.0001
Reset #22, asq_eff=1.4e+01, igsq=0.0001
Reset #23, asq_eff=1.4e+01, igsq=0.0001
Steps remaining: 133, asq_eff=1.4e+01, igsq=0.0001
Reset #24, asq_eff=1.4e+01, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=1.38e+01, N_step=188
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Reset #1, asq_eff=6.5e+00, igsq=0.15687174265360496
Reset #2, asq_eff=1.8e+00, igsq=0.15687174265360496
Reset #3, asq_eff=1.5e+00, igsq=0.15687174265360496
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.57e-01 and asq=1.47e+00, N_step=116
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Non-optimal solve at igsq=2.46e-01 and asq=1.00e+00, N_step=106
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Reset #1, asq_eff=2.3e+00, igsq=0.38604164998212914
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=3.86e-01 and asq=1.00e+00, N_step=111
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Reset #1, asq_eff=1.7e+00, igsq=0.605590263695696
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=6.06e-01 and asq=1.66e+00, N_step=105
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.95
Reset #1, asq_eff=7.0e+01, igsq=0.95
Steps remaining: 24, asq_eff=5.9e+01, igsq=0.95
Reset #2, asq_eff=2.7e+01, igsq=0.95
Reset #3, asq_eff=2.9e+01, igsq=0.95
Reset #4, asq_eff=2.6e+01, igsq=0.95
Reset #5, asq_eff=2.6e+01, igsq=0.95
Reset #6, asq_eff=2.6e+01, igsq=0.95
Reset #7, asq_eff=2.4e+01, igsq=0.95
Reset #8, asq_eff=2.4e+01, igsq=0.95
Reset #9, asq_eff=2.3e+01, igsq=0.95
Reset #10, asq_eff=2.2e+01, igsq=0.95
Reset #11, asq_eff=2.2e+01, igsq=0.95
Reset #12, asq_eff=2.2e+01, igsq=0.95
Reset #13, asq_eff=2.2e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=2.22e+01, N_step=143
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  24
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  25
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  26
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  27

LPL []
MPL []
eq37 Before S: 73383148.8040793
eq37  S: 0.0005780408624590945
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=3.5e+01, igsq=1e-06
Reset #2, asq_eff=1.4e+01, igsq=1e-06
Reset #3, asq_eff=1.2e+01, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=1.22e+01, N_step=110
Steps remaining: 99, asq_eff=4.0e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.5e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.6e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=2.5e+01, igsq=1e-05
Reset #2, asq_eff=2.3e+01, igsq=1e-05
Reset #3, asq_eff=1.9e+01, igsq=1e-05
Reset #4, asq_eff=1.6e+01, igsq=1e-05
Reset #5, asq_eff=1.6e+01, igsq=1e-05
Reset #6, asq_eff=1.5e+01, igsq=1e-05
Reset #7, asq_eff=1.5e+01, igsq=1e-05
Reset #8, asq_eff=1.4e+01, igsq=1e-05
Reset #9, asq_eff=1.4e+01, igsq=1e-05
Reset #10, asq_eff=1.3e+01, igsq=1e-05
Reset #11, asq_eff=1.3e+01, igsq=1e-05
Reset #12, asq_eff=1.3e+01, igsq=1e-05
Reset #13, asq_eff=1.3e+01, igsq=1e-05
Steps remaining: 127, asq_eff=1.2e+01, igsq=1e-05
Reset #14, asq_eff=1.2e+01, igsq=1e-05
Reset #15, asq_eff=1.3e+01, igsq=1e-05
Reset #16, asq_eff=1.2e+01, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=1.25e+01, N_step=165
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=3.5e+01, igsq=0.0001
Reset #2, asq_eff=2.7e+01, igsq=0.0001
Reset #3, asq_eff=2.9e+01, igsq=0.0001
Reset #4, asq_eff=2.8e+01, igsq=0.0001
Reset #5, asq_eff=2.8e+01, igsq=0.0001
Reset #6, asq_eff=2.8e+01, igsq=0.0001
Reset #7, asq_eff=2.5e+01, igsq=0.0001
Reset #8, asq_eff=2.5e+01, igsq=0.0001
Steps remaining: 161, asq_eff=2.4e+01, igsq=0.0001
Reset #9, asq_eff=2.4e+01, igsq=0.0001
Reset #10, asq_eff=2.4e+01, igsq=0.0001
Reset #11, asq_eff=2.4e+01, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=2.36e+01, N_step=137
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Reset #1, asq_eff=2.3e+00, igsq=0.1
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.00e-01 and asq=2.34e+00, N_step=104
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Reset #1, asq_eff=2.3e+00, igsq=0.1
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.00e-01 and asq=2.34e+00, N_step=104
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Reset #1, asq_eff=4.6e+00, igsq=0.15687174265360496
Reset #2, asq_eff=4.2e+00, igsq=0.15687174265360496
Reset #3, asq_eff=2.9e+00, igsq=0.15687174265360496
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.57e-01 and asq=2.89e+00, N_step=112
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Reset #1, asq_eff=6.5e+00, igsq=0.24608743643178863
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=2.46e-01 and asq=6.47e+00, N_step=101
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Reset #1, asq_eff=1.2e+00, igsq=0.38604164998212914
Reset #2, asq_eff=1.3e+00, igsq=0.38604164998212914
Reset #3, asq_eff=1.1e+00, igsq=0.38604164998212914
Reset #4, asq_eff=1.1e+00, igsq=0.38604164998212914
Reset #5, asq_eff=1.1e+00, igsq=0.38604164998212914
Reset #6, asq_eff=1.1e+00, igsq=0.38604164998212914
Steps remaining: 0, asq_eff=1.0e+00, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Reset #1, asq_eff=9.1e+00, igsq=0.605590263695696
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=6.06e-01 and asq=9.09e+00, N_step=100
Steps remaining: 99, asq_eff=4.0e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.5e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.6e+05, igsq=0.95
Reset #1, asq_eff=2.7e+02, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=2.71e+02, N_step=90
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  28
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  29
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  30
Captured stderr call

  0%|          | 0/6 [00:00<?, ?it/s]
 17%|█▋        | 1/6 [14:16<1:11:23, 856.78s/it]
 33%|███▎      | 2/6 [26:50<53:04, 796.14s/it]  
 50%|█████     | 3/6 [35:28<33:27, 669.28s/it]
 67%|██████▋   | 4/6 [46:08<21:55, 657.77s/it]
 83%|████████▎ | 5/6 [56:26<10:43, 643.16s/it]
100%|██████████| 6/6 [1:04:52<00:00, 596.57s/it]
100%|██████████| 6/6 [1:04:52<00:00, 648.71s/it]
captured errors:
folder = 'ExampleModels_working'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_calc_HiB(folder):
        sysB = get_systemB(folder = folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if folder == 'ExampleModels_newFOM_F3':
            FOM_out = ["F3.out", "F2.out"]
        else:
            FOM_out = ["FBNS.out", "F2.out"]
        wn_in = ["S.in", "O.in"]
        Zinf = ["Zinf.in"]
        control_in = ["U.in"]
        meas_out = ["T.out"]

        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[0], FBNS_scale)
        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[1], FFlat_scale)

        # Scale the DARM output
        if 'DARM.out' in sysB.sys.outputs.keys():
            print('scaling DARM')
            DARM_scale_factor = strain2m * SNR_intg_factor
            sysB.sys = ssutil.scale_io(sysB.sys, 'DARM.out', DARM_scale_factor)

        params = {}
        if folder == 'ExampleModels':
            params['F1_gain'] = np.geomspace(1e1, 1e5, 5) * 1/FBNS_scale # was 1e1 3e3
        elif folder == 'ExampleModels_newFOM_F3':
            params['F1_gain'] = np.geomspace(1e-6, 1e-3, 5) * 1/FBNS_scale
        else:
            params["F1_gain"] = np.geomspace(4e1, 1e5, 6) * 1/FBNS_scale
            #params["F1_gain"] = np.array([0.09146101038546522])

        # params["igsq_capture"] = [
        #     0,  # H2 constraint
        #     1.8e-2,  # 1 deg
        #     1e-1,  # 6 deg
        #     0.20,  # 11.5 deg
        #     0.3,  # 17 deg
        #     0.5,  # 30 deg
        #     0.7653668647301797,  # 45 deg
        #     0.85,  # 50.0 deg
        #     0.90,  # 53.5 deg
        #     0.95,  # 56.5 deg
        #     # above this it gets very hairy
        #     # these are 10 solutions
        # ]

        # params["igsq_capture"] = np.geomspace(1e-6, 0.99, 40)
        params["igsq_capture"] = np.concatenate([np.geomspace(1e-6, 0.1, 6), np.geomspace(.1, 0.95, 6)])

        plotting_omega = np.logspace(-3, 4, 1000) * 2 * np.pi
        results_Hib_bare = compute.calcOpt(
            sysB.sys,
            control_in,
            wn_in,
            meas_out,
            FOM_out,
            params,
            Zinf=Zinf,
            solver="HB",
            plant_orig=sysB.orig_plant,
            BH_solver = BH1solverset,
            debug_mode=True,
        )

>       current_range = np.loadtxt(fjoin(folder, 'FBNS_Current_range.txt')) # Saved by the normalization in the make function

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:399: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:1373: in loadtxt
    arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:992: in _read
    fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:193: in open
    return ds.open(path, mode, encoding=encoding, newline=newline)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <numpy.DataSource object at 0x7f8cd0dfa000>
path = '/builds/buzz/test/ASC_SOLVER/ExampleModels_working/FBNS_Current_range.txt'
mode = 'rt', encoding = None, newline = None

    def open(self, path, mode='r', encoding=None, newline=None):
        """
        Open and return file-like object.

        If `path` is an URL, it will be downloaded, stored in the
        `DataSource` directory and opened from there.

        Parameters
        ----------
        path : str
            Local file path or URL to open.
        mode : {'r', 'w', 'a'}, optional
            Mode to open `path`.  Mode 'r' for reading, 'w' for writing,
            'a' to append. Available modes depend on the type of object
            specified by `path`. Default is 'r'.
        encoding : {None, str}, optional
            Open text file with given encoding. The default encoding will be
            what `io.open` uses.
        newline : {None, str}, optional
            Newline to use when reading text file.

        Returns
        -------
        out : file object
            File object.

        """

        # TODO: There is no support for opening a file for writing which
        #       doesn't exist yet (creating a file).  Should there be?

        # TODO: Add a ``subdir`` parameter for specifying the subdirectory
        #       used to store URLs in self._destpath.

        if self._isurl(path) and self._iswritemode(mode):
            raise ValueError("URLs are not writeable")

        # NOTE: _findfile will fail on a new file opened for writing.
        found = self._findfile(path)
        if found:
            _fname, ext = self._splitzipext(found)
            if ext == 'bz2':
                mode.replace("+", "")
            return _file_openers[ext](found, mode=mode,
                                      encoding=encoding, newline=newline)
        else:
>           raise FileNotFoundError(f"{path} not found.")
E           FileNotFoundError: /builds/buzz/test/ASC_SOLVER/ExampleModels_working/FBNS_Current_range.txt not found.

/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:533: FileNotFoundError
T_calc_HiB[ExampleModels_rescale]
output
LPL []
MPL []
eq37 Before S: 29353.242896337237
eq37  S: 1.6909875295628326e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=3.3e+00, igsq=1e-06
Reset #2, asq_eff=2.1e+00, igsq=1e-06
Reset #3, asq_eff=1.6e+00, igsq=1e-06
Reset #4, asq_eff=1.6e+00, igsq=1e-06
Reset #5, asq_eff=1.5e+00, igsq=1e-06
Steps remaining: 18, asq_eff=1.4e+00, igsq=1e-06
Reset #6, asq_eff=1.4e+00, igsq=1e-06
Reset #7, asq_eff=1.4e+00, igsq=1e-06
Reset #8, asq_eff=1.3e+00, igsq=1e-06
Reset #9, asq_eff=1.1e+00, igsq=1e-06
Reset #10, asq_eff=1.0e+00, igsq=1e-06
Steps remaining: 1, asq_eff=1.0e+00, igsq=1e-06
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=1.7e+00, igsq=1e-05
Reset #2, asq_eff=1.8e+00, igsq=1e-05
Reset #3, asq_eff=1.9e+00, igsq=1e-05
Reset #4, asq_eff=1.9e+00, igsq=1e-05
Reset #5, asq_eff=1.7e+00, igsq=1e-05
Reset #6, asq_eff=1.7e+00, igsq=1e-05
Steps remaining: 24, asq_eff=1.6e+00, igsq=1e-05
Reset #7, asq_eff=1.7e+00, igsq=1e-05
Reset #8, asq_eff=1.5e+00, igsq=1e-05
Reset #9, asq_eff=1.5e+00, igsq=1e-05
Reset #10, asq_eff=1.4e+00, igsq=1e-05
Reset #11, asq_eff=1.3e+00, igsq=1e-05
Steps remaining: 7, asq_eff=1.2e+00, igsq=1e-05
Reset #12, asq_eff=1.2e+00, igsq=1e-05
Reset #13, asq_eff=1.1e+00, igsq=1e-05
Reset #14, asq_eff=1.1e+00, igsq=1e-05
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=1.7e+00, igsq=0.0001
Reset #2, asq_eff=1.8e+00, igsq=0.0001
Reset #3, asq_eff=1.9e+00, igsq=0.0001
Reset #4, asq_eff=1.9e+00, igsq=0.0001
Reset #5, asq_eff=1.8e+00, igsq=0.0001
Reset #6, asq_eff=1.9e+00, igsq=0.0001
Reset #7, asq_eff=1.8e+00, igsq=0.0001
Steps remaining: 28, asq_eff=1.7e+00, igsq=0.0001
Reset #8, asq_eff=1.7e+00, igsq=0.0001
Reset #9, asq_eff=1.8e+00, igsq=0.0001
Reset #10, asq_eff=1.6e+00, igsq=0.0001
Reset #11, asq_eff=1.6e+00, igsq=0.0001
Reset #12, asq_eff=1.6e+00, igsq=0.0001
Reset #13, asq_eff=1.6e+00, igsq=0.0001
Reset #14, asq_eff=1.6e+00, igsq=0.0001
Reset #15, asq_eff=1.5e+00, igsq=0.0001
Steps remaining: 18, asq_eff=1.4e+00, igsq=0.0001
Reset #16, asq_eff=1.3e+00, igsq=0.0001
Reset #17, asq_eff=1.4e+00, igsq=0.0001
Reset #18, asq_eff=1.1e+00, igsq=0.0001
Reset #19, asq_eff=1.1e+00, igsq=0.0001
Reset #20, asq_eff=1.1e+00, igsq=0.0001
Steps remaining: 1, asq_eff=1.0e+00, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Reset #1, asq_eff=2.5e+01, igsq=0.95
Reset #2, asq_eff=2.3e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=2.32e+01, N_step=100
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  1
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  2
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  3
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  4
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  5
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  6
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  7
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  8
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  9
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  10
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  11

LPL []
MPL []
eq37 Before S: 140360.26367362557
eq37  S: 2.41041180292358e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=6.5e+00, igsq=1e-06
Reset #2, asq_eff=6.0e+00, igsq=1e-06
Reset #3, asq_eff=4.1e+00, igsq=1e-06
Reset #4, asq_eff=2.8e+00, igsq=1e-06
Reset #5, asq_eff=2.8e+00, igsq=1e-06
Reset #6, asq_eff=2.8e+00, igsq=1e-06
Reset #7, asq_eff=2.8e+00, igsq=1e-06
Reset #8, asq_eff=2.4e+00, igsq=1e-06
Reset #9, asq_eff=2.4e+00, igsq=1e-06
Reset #10, asq_eff=2.4e+00, igsq=1e-06
Reset #11, asq_eff=2.4e+00, igsq=1e-06
Reset #12, asq_eff=2.5e+00, igsq=1e-06
Reset #13, asq_eff=2.4e+00, igsq=1e-06
Reset #14, asq_eff=2.4e+00, igsq=1e-06
Reset #15, asq_eff=2.3e+00, igsq=1e-06
Reset #16, asq_eff=2.4e+00, igsq=1e-06
Reset #17, asq_eff=2.4e+00, igsq=1e-06
Reset #18, asq_eff=2.4e+00, igsq=1e-06
Reset #19, asq_eff=2.4e+00, igsq=1e-06
Steps remaining: 40, asq_eff=2.2e+00, igsq=1e-06
Reset #20, asq_eff=2.3e+00, igsq=1e-06
Reset #21, asq_eff=2.2e+00, igsq=1e-06
Reset #22, asq_eff=2.1e+00, igsq=1e-06
Reset #23, asq_eff=2.2e+00, igsq=1e-06
Reset #24, asq_eff=2.2e+00, igsq=1e-06
Reset #25, asq_eff=2.1e+00, igsq=1e-06
Reset #26, asq_eff=2.1e+00, igsq=1e-06
Reset #27, asq_eff=2.0e+00, igsq=1e-06
Reset #28, asq_eff=1.9e+00, igsq=1e-06
Reset #29, asq_eff=1.8e+00, igsq=1e-06
Reset #30, asq_eff=1.8e+00, igsq=1e-06
Reset #31, asq_eff=1.7e+00, igsq=1e-06
Reset #32, asq_eff=1.7e+00, igsq=1e-06
Reset #33, asq_eff=1.7e+00, igsq=1e-06
Reset #34, asq_eff=1.7e+00, igsq=1e-06
Reset #35, asq_eff=1.7e+00, igsq=1e-06
Reset #36, asq_eff=1.7e+00, igsq=1e-06
Reset #37, asq_eff=1.7e+00, igsq=1e-06
Reset #38, asq_eff=1.7e+00, igsq=1e-06
Reset #39, asq_eff=1.7e+00, igsq=1e-06
Reset #40, asq_eff=1.7e+00, igsq=1e-06
Reset #41, asq_eff=1.7e+00, igsq=1e-06
Reset #42, asq_eff=1.7e+00, igsq=1e-06
Reset #43, asq_eff=1.7e+00, igsq=1e-06
Steps remaining: 25, asq_eff=1.6e+00, igsq=1e-06
Reset #44, asq_eff=1.7e+00, igsq=1e-06
Reset #45, asq_eff=1.7e+00, igsq=1e-06
Reset #46, asq_eff=1.7e+00, igsq=1e-06
Reset #47, asq_eff=1.7e+00, igsq=1e-06
Reset #48, asq_eff=1.7e+00, igsq=1e-06
Reset #49, asq_eff=1.7e+00, igsq=1e-06
Reset #50, asq_eff=1.8e+00, igsq=1e-06
Reset #51, asq_eff=1.6e+00, igsq=1e-06
Steps remaining: 20, asq_eff=1.5e+00, igsq=1e-06
Reset #52, asq_eff=1.5e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=1.50e+00, N_step=302
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=2.3e+00, igsq=1e-05
Reset #2, asq_eff=2.1e+00, igsq=1e-05
Reset #3, asq_eff=1.9e+00, igsq=1e-05
Reset #4, asq_eff=1.9e+00, igsq=1e-05
Reset #5, asq_eff=2.0e+00, igsq=1e-05
Reset #6, asq_eff=2.0e+00, igsq=1e-05
Reset #7, asq_eff=1.8e+00, igsq=1e-05
Steps remaining: 30, asq_eff=1.8e+00, igsq=1e-05
Reset #8, asq_eff=1.8e+00, igsq=1e-05
Reset #9, asq_eff=1.8e+00, igsq=1e-05
Reset #10, asq_eff=1.8e+00, igsq=1e-05
Reset #11, asq_eff=1.7e+00, igsq=1e-05
Reset #12, asq_eff=1.7e+00, igsq=1e-05
Reset #13, asq_eff=1.7e+00, igsq=1e-05
Reset #14, asq_eff=1.8e+00, igsq=1e-05
Steps remaining: 26, asq_eff=1.7e+00, igsq=1e-05
Reset #15, asq_eff=1.7e+00, igsq=1e-05
Reset #16, asq_eff=1.7e+00, igsq=1e-05
Reset #17, asq_eff=1.5e+00, igsq=1e-05
Reset #18, asq_eff=1.5e+00, igsq=1e-05
Reset #19, asq_eff=1.5e+00, igsq=1e-05
Reset #20, asq_eff=1.6e+00, igsq=1e-05
Steps remaining: 18, asq_eff=1.4e+00, igsq=1e-05
Reset #21, asq_eff=1.5e+00, igsq=1e-05
Reset #22, asq_eff=1.4e+00, igsq=1e-05
Reset #23, asq_eff=1.4e+00, igsq=1e-05
Reset #24, asq_eff=1.4e+00, igsq=1e-05
Reset #25, asq_eff=1.4e+00, igsq=1e-05
Reset #26, asq_eff=1.4e+00, igsq=1e-05
Reset #27, asq_eff=1.4e+00, igsq=1e-05
Reset #28, asq_eff=1.4e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=1.38e+00, N_step=209
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=6.5e+00, igsq=0.0001
Reset #2, asq_eff=2.1e+00, igsq=0.0001
Reset #3, asq_eff=2.2e+00, igsq=0.0001
Reset #4, asq_eff=2.1e+00, igsq=0.0001
Reset #5, asq_eff=2.0e+00, igsq=0.0001
Reset #6, asq_eff=2.1e+00, igsq=0.0001
Steps remaining: 35, asq_eff=2.0e+00, igsq=0.0001
Reset #7, asq_eff=2.0e+00, igsq=0.0001
Reset #8, asq_eff=2.1e+00, igsq=0.0001
Reset #9, asq_eff=2.1e+00, igsq=0.0001
Reset #10, asq_eff=1.9e+00, igsq=0.0001
Reset #11, asq_eff=1.8e+00, igsq=0.0001
Reset #12, asq_eff=1.8e+00, igsq=0.0001
Reset #13, asq_eff=1.8e+00, igsq=0.0001
Reset #14, asq_eff=1.9e+00, igsq=0.0001
Reset #15, asq_eff=1.8e+00, igsq=0.0001
Reset #16, asq_eff=1.8e+00, igsq=0.0001
Reset #17, asq_eff=1.8e+00, igsq=0.0001
Reset #18, asq_eff=1.7e+00, igsq=0.0001
Reset #19, asq_eff=1.6e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=1.61e+00, N_step=173
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Reset #1, asq_eff=4.6e+00, igsq=0.001
Reset #2, asq_eff=4.2e+00, igsq=0.001
Reset #3, asq_eff=4.4e+00, igsq=0.001
Reset #4, asq_eff=3.8e+00, igsq=0.001
Reset #5, asq_eff=3.7e+00, igsq=0.001
Steps remaining: 59, asq_eff=3.2e+00, igsq=0.001
Reset #6, asq_eff=3.2e+00, igsq=0.001
Reset #7, asq_eff=3.1e+00, igsq=0.001
Reset #8, asq_eff=3.1e+00, igsq=0.001
Reset #9, asq_eff=2.8e+00, igsq=0.001
Reset #10, asq_eff=2.8e+00, igsq=0.001
Reset #11, asq_eff=2.6e+00, igsq=0.001
Reset #12, asq_eff=2.5e+00, igsq=0.001
Reset #13, asq_eff=2.4e+00, igsq=0.001
Reset #14, asq_eff=2.3e+00, igsq=0.001
Reset #15, asq_eff=2.3e+00, igsq=0.001
Reset #16, asq_eff=2.4e+00, igsq=0.001
Steps remaining: 34, asq_eff=1.9e+00, igsq=0.001
Reset #17, asq_eff=1.9e+00, igsq=0.001
Reset #18, asq_eff=1.8e+00, igsq=0.001
Reset #19, asq_eff=1.8e+00, igsq=0.001
Reset #20, asq_eff=1.8e+00, igsq=0.001
Reset #21, asq_eff=1.8e+00, igsq=0.001
Reset #22, asq_eff=1.9e+00, igsq=0.001
Reset #23, asq_eff=1.8e+00, igsq=0.001
Reset #24, asq_eff=1.9e+00, igsq=0.001
Reset #25, asq_eff=1.9e+00, igsq=0.001
Steps remaining: 28, asq_eff=1.7e+00, igsq=0.001
Reset #26, asq_eff=1.7e+00, igsq=0.001
Reset #27, asq_eff=1.7e+00, igsq=0.001
Reset #28, asq_eff=1.6e+00, igsq=0.001
Reset #29, asq_eff=1.6e+00, igsq=0.001
Reset #30, asq_eff=1.6e+00, igsq=0.001
Reset #31, asq_eff=1.6e+00, igsq=0.001
Reset #32, asq_eff=1.6e+00, igsq=0.001
Reset #33, asq_eff=1.6e+00, igsq=0.001
Reset #34, asq_eff=1.7e+00, igsq=0.001
Reset #35, asq_eff=1.6e+00, igsq=0.001
Reset #36, asq_eff=1.7e+00, igsq=0.001
Reset #37, asq_eff=1.7e+00, igsq=0.001
Reset #38, asq_eff=1.7e+00, igsq=0.001
Reset #39, asq_eff=1.7e+00, igsq=0.001
Reset #40, asq_eff=1.7e+00, igsq=0.001
Reset #41, asq_eff=1.7e+00, igsq=0.001
Reset #42, asq_eff=1.7e+00, igsq=0.001
Reset #43, asq_eff=1.7e+00, igsq=0.001
Reset #44, asq_eff=1.7e+00, igsq=0.001
Reset #45, asq_eff=1.6e+00, igsq=0.001
Non-optimal solve at igsq=1.00e-03 and asq=1.64e+00, N_step=282
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Reset #1, asq_eff=2.5e+01, igsq=0.95
Reset #2, asq_eff=2.3e+01, igsq=0.95
Reset #3, asq_eff=2.2e+01, igsq=0.95
Reset #4, asq_eff=2.2e+01, igsq=0.95
Reset #5, asq_eff=2.1e+01, igsq=0.95
Reset #6, asq_eff=2.1e+01, igsq=0.95
Reset #7, asq_eff=2.1e+01, igsq=0.95
Reset #8, asq_eff=2.1e+01, igsq=0.95
Reset #9, asq_eff=2.1e+01, igsq=0.95
Reset #10, asq_eff=2.1e+01, igsq=0.95
Reset #11, asq_eff=2.1e+01, igsq=0.95
Reset #12, asq_eff=2.1e+01, igsq=0.95
Reset #13, asq_eff=2.1e+01, igsq=0.95
Reset #14, asq_eff=2.1e+01, igsq=0.95
Reset #15, asq_eff=2.1e+01, igsq=0.95
Reset #16, asq_eff=2.1e+01, igsq=0.95
Reset #17, asq_eff=2.1e+01, igsq=0.95
Reset #18, asq_eff=2.1e+01, igsq=0.95
Reset #19, asq_eff=2.1e+01, igsq=0.95
Reset #20, asq_eff=2.1e+01, igsq=0.95
Reset #21, asq_eff=2.1e+01, igsq=0.95
Reset #22, asq_eff=2.1e+01, igsq=0.95
Reset #23, asq_eff=2.1e+01, igsq=0.95
Reset #24, asq_eff=2.1e+01, igsq=0.95
Reset #25, asq_eff=2.1e+01, igsq=0.95
Reset #26, asq_eff=2.1e+01, igsq=0.95
Reset #27, asq_eff=2.1e+01, igsq=0.95
Reset #28, asq_eff=2.1e+01, igsq=0.95
Reset #29, asq_eff=2.1e+01, igsq=0.95
Reset #30, asq_eff=2.1e+01, igsq=0.95
Reset #31, asq_eff=2.1e+01, igsq=0.95
Reset #32, asq_eff=2.1e+01, igsq=0.95
Reset #33, asq_eff=2.1e+01, igsq=0.95
Reset #34, asq_eff=2.1e+01, igsq=0.95
Reset #35, asq_eff=2.1e+01, igsq=0.95
Reset #36, asq_eff=2.1e+01, igsq=0.95
Reset #37, asq_eff=2.1e+01, igsq=0.95
Reset #38, asq_eff=2.1e+01, igsq=0.95
Reset #39, asq_eff=2.1e+01, igsq=0.95
Reset #40, asq_eff=2.1e+01, igsq=0.95
Reset #41, asq_eff=2.1e+01, igsq=0.95
Reset #42, asq_eff=2.1e+01, igsq=0.95
Reset #43, asq_eff=2.1e+01, igsq=0.95
Reset #44, asq_eff=2.1e+01, igsq=0.95
Reset #45, asq_eff=2.1e+01, igsq=0.95
Reset #46, asq_eff=2.1e+01, igsq=0.95
Steps remaining: 152, asq_eff=2.0e+01, igsq=0.95
Reset #47, asq_eff=2.1e+01, igsq=0.95
Reset #48, asq_eff=2.1e+01, igsq=0.95
Reset #49, asq_eff=2.1e+01, igsq=0.95
Reset #50, asq_eff=2.1e+01, igsq=0.95
Reset #51, asq_eff=2.1e+01, igsq=0.95
Reset #52, asq_eff=2.1e+01, igsq=0.95
Reset #53, asq_eff=2.1e+01, igsq=0.95
Reset #54, asq_eff=2.1e+01, igsq=0.95
Reset #55, asq_eff=2.1e+01, igsq=0.95
Reset #56, asq_eff=2.1e+01, igsq=0.95
Reset #57, asq_eff=2.1e+01, igsq=0.95
Reset #58, asq_eff=2.1e+01, igsq=0.95
Steps remaining: 152, asq_eff=2.0e+01, igsq=0.95
Reset #59, asq_eff=2.1e+01, igsq=0.95
Reset #60, asq_eff=2.1e+01, igsq=0.95
Reset #61, asq_eff=2.1e+01, igsq=0.95
Reset #62, asq_eff=2.1e+01, igsq=0.95
Reset #63, asq_eff=2.1e+01, igsq=0.95
Reset #64, asq_eff=2.1e+01, igsq=0.95
Non-optimal solve at igsq=9.50e-01 and asq=2.05e+01, N_step=259
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  12
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  13
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  14
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  15
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  16
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  17
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  18

LPL []
MPL []
eq37 Before S: 671169.653840894
eq37  S: 5.336534903787689e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=1.8e+01, igsq=1e-06
Reset #2, asq_eff=5.0e+00, igsq=1e-06
Reset #3, asq_eff=4.8e+00, igsq=1e-06
Reset #4, asq_eff=4.5e+00, igsq=1e-06
Reset #5, asq_eff=4.6e+00, igsq=1e-06
Reset #6, asq_eff=4.6e+00, igsq=1e-06
Reset #7, asq_eff=4.6e+00, igsq=1e-06
Steps remaining: 75, asq_eff=4.4e+00, igsq=1e-06
Reset #8, asq_eff=4.4e+00, igsq=1e-06
Reset #9, asq_eff=3.9e+00, igsq=1e-06
Reset #10, asq_eff=3.9e+00, igsq=1e-06
Reset #11, asq_eff=3.8e+00, igsq=1e-06
Reset #12, asq_eff=3.9e+00, igsq=1e-06
Reset #13, asq_eff=3.8e+00, igsq=1e-06
Reset #14, asq_eff=3.9e+00, igsq=1e-06
Reset #15, asq_eff=3.9e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=3.90e+00, N_step=153
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=9.1e+00, igsq=1e-05
Reset #2, asq_eff=6.0e+00, igsq=1e-05
Reset #3, asq_eff=4.8e+00, igsq=1e-05
Reset #4, asq_eff=4.7e+00, igsq=1e-05
Reset #5, asq_eff=4.5e+00, igsq=1e-05
Reset #6, asq_eff=4.3e+00, igsq=1e-05
Steps remaining: 73, asq_eff=4.3e+00, igsq=1e-05
Reset #7, asq_eff=4.2e+00, igsq=1e-05
Reset #8, asq_eff=4.3e+00, igsq=1e-05
Reset #9, asq_eff=4.2e+00, igsq=1e-05
Reset #10, asq_eff=4.3e+00, igsq=1e-05
Reset #11, asq_eff=4.1e+00, igsq=1e-05
Reset #12, asq_eff=4.1e+00, igsq=1e-05
Reset #13, asq_eff=4.1e+00, igsq=1e-05
Reset #14, asq_eff=4.2e+00, igsq=1e-05
Steps remaining: 70, asq_eff=4.0e+00, igsq=1e-05
Reset #15, asq_eff=4.1e+00, igsq=1e-05
Reset #16, asq_eff=3.9e+00, igsq=1e-05
Reset #17, asq_eff=3.9e+00, igsq=1e-05
Reset #18, asq_eff=3.9e+00, igsq=1e-05
Reset #19, asq_eff=3.6e+00, igsq=1e-05
Reset #20, asq_eff=3.6e+00, igsq=1e-05
Reset #21, asq_eff=3.6e+00, igsq=1e-05
Reset #22, asq_eff=3.5e+00, igsq=1e-05
Steps remaining: 62, asq_eff=3.4e+00, igsq=1e-05
Reset #23, asq_eff=3.5e+00, igsq=1e-05
Reset #24, asq_eff=3.4e+00, igsq=1e-05
Reset #25, asq_eff=3.4e+00, igsq=1e-05
Reset #26, asq_eff=3.4e+00, igsq=1e-05
Reset #27, asq_eff=3.4e+00, igsq=1e-05
Reset #28, asq_eff=3.3e+00, igsq=1e-05
Reset #29, asq_eff=3.3e+00, igsq=1e-05
Reset #30, asq_eff=3.3e+00, igsq=1e-05
Reset #31, asq_eff=3.3e+00, igsq=1e-05
Steps remaining: 60, asq_eff=3.3e+00, igsq=1e-05
Reset #32, asq_eff=3.4e+00, igsq=1e-05
Reset #33, asq_eff=3.2e+00, igsq=1e-05
Reset #34, asq_eff=2.6e+00, igsq=1e-05
Reset #35, asq_eff=2.6e+00, igsq=1e-05
Reset #36, asq_eff=2.6e+00, igsq=1e-05
Steps remaining: 47, asq_eff=2.5e+00, igsq=1e-05
Reset #37, asq_eff=2.6e+00, igsq=1e-05
Reset #38, asq_eff=2.6e+00, igsq=1e-05
Reset #39, asq_eff=2.6e+00, igsq=1e-05
Reset #40, asq_eff=2.6e+00, igsq=1e-05
Reset #41, asq_eff=2.6e+00, igsq=1e-05
Reset #42, asq_eff=2.4e+00, igsq=1e-05
Reset #43, asq_eff=2.5e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=2.47e+00, N_step=265
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=9.1e+00, igsq=0.0001
Reset #2, asq_eff=7.1e+00, igsq=0.0001
Reset #3, asq_eff=4.8e+00, igsq=0.0001
Reset #4, asq_eff=4.5e+00, igsq=0.0001
Reset #5, asq_eff=4.4e+00, igsq=0.0001
Steps remaining: 73, asq_eff=4.2e+00, igsq=0.0001
Reset #6, asq_eff=4.3e+00, igsq=0.0001
Reset #7, asq_eff=4.3e+00, igsq=0.0001
Reset #8, asq_eff=4.3e+00, igsq=0.0001
Reset #9, asq_eff=4.2e+00, igsq=0.0001
Reset #10, asq_eff=3.8e+00, igsq=0.0001
Reset #11, asq_eff=3.8e+00, igsq=0.0001
Reset #12, asq_eff=3.9e+00, igsq=0.0001
Reset #13, asq_eff=3.9e+00, igsq=0.0001
Reset #14, asq_eff=3.9e+00, igsq=0.0001
Reset #15, asq_eff=4.0e+00, igsq=0.0001
Reset #16, asq_eff=4.0e+00, igsq=0.0001
Reset #17, asq_eff=4.0e+00, igsq=0.0001
Reset #18, asq_eff=3.9e+00, igsq=0.0001
Reset #19, asq_eff=3.7e+00, igsq=0.0001
Reset #20, asq_eff=3.6e+00, igsq=0.0001
Reset #21, asq_eff=3.6e+00, igsq=0.0001
Steps remaining: 62, asq_eff=3.4e+00, igsq=0.0001
Reset #22, asq_eff=3.5e+00, igsq=0.0001
Reset #23, asq_eff=3.5e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=3.52e+00, N_step=189
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Reset #1, asq_eff=1.3e+01, igsq=0.001
Reset #2, asq_eff=9.9e+00, igsq=0.001
Reset #3, asq_eff=5.2e+00, igsq=0.001
Reset #4, asq_eff=4.5e+00, igsq=0.001
Reset #5, asq_eff=4.3e+00, igsq=0.001
Reset #6, asq_eff=4.2e+00, igsq=0.001
Reset #7, asq_eff=4.2e+00, igsq=0.001
Reset #8, asq_eff=4.0e+00, igsq=0.001
Reset #9, asq_eff=3.9e+00, igsq=0.001
Reset #10, asq_eff=3.9e+00, igsq=0.001
Reset #11, asq_eff=4.0e+00, igsq=0.001
Reset #12, asq_eff=4.0e+00, igsq=0.001
Steps remaining: 65, asq_eff=3.6e+00, igsq=0.001
Reset #13, asq_eff=3.4e+00, igsq=0.001
Reset #14, asq_eff=3.3e+00, igsq=0.001
Reset #15, asq_eff=3.3e+00, igsq=0.001
Reset #16, asq_eff=3.2e+00, igsq=0.001
Reset #17, asq_eff=3.2e+00, igsq=0.001
Reset #18, asq_eff=3.2e+00, igsq=0.001
Reset #19, asq_eff=3.1e+00, igsq=0.001
Reset #20, asq_eff=3.2e+00, igsq=0.001
Reset #21, asq_eff=3.1e+00, igsq=0.001
Reset #22, asq_eff=3.2e+00, igsq=0.001
Reset #23, asq_eff=3.1e+00, igsq=0.001
Reset #24, asq_eff=3.2e+00, igsq=0.001
Reset #25, asq_eff=3.2e+00, igsq=0.001
Reset #26, asq_eff=3.1e+00, igsq=0.001
Reset #27, asq_eff=3.1e+00, igsq=0.001
Reset #28, asq_eff=3.1e+00, igsq=0.001
Steps remaining: 56, asq_eff=3.0e+00, igsq=0.001
Reset #29, asq_eff=3.1e+00, igsq=0.001
Reset #30, asq_eff=2.9e+00, igsq=0.001
Reset #31, asq_eff=2.8e+00, igsq=0.001
Reset #32, asq_eff=2.7e+00, igsq=0.001
Reset #33, asq_eff=2.7e+00, igsq=0.001
Reset #34, asq_eff=2.7e+00, igsq=0.001
Steps remaining: 49, asq_eff=2.6e+00, igsq=0.001
Reset #35, asq_eff=2.7e+00, igsq=0.001
Reset #36, asq_eff=2.7e+00, igsq=0.001
Reset #37, asq_eff=2.4e+00, igsq=0.001
Reset #38, asq_eff=2.3e+00, igsq=0.001
Reset #39, asq_eff=2.3e+00, igsq=0.001
Reset #40, asq_eff=2.3e+00, igsq=0.001
Reset #41, asq_eff=2.3e+00, igsq=0.001
Reset #42, asq_eff=2.3e+00, igsq=0.001
Reset #43, asq_eff=2.3e+00, igsq=0.001
Reset #44, asq_eff=2.3e+00, igsq=0.001
Reset #45, asq_eff=2.3e+00, igsq=0.001
Reset #46, asq_eff=2.2e+00, igsq=0.001
Reset #47, asq_eff=2.1e+00, igsq=0.001
Reset #48, asq_eff=2.2e+00, igsq=0.001
Reset #49, asq_eff=2.2e+00, igsq=0.001
Reset #50, asq_eff=2.2e+00, igsq=0.001
Reset #51, asq_eff=2.2e+00, igsq=0.001
Non-optimal solve at igsq=1.00e-03 and asq=2.14e+00, N_step=301
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Reset #1, asq_eff=2.5e+01, igsq=0.95
Reset #2, asq_eff=2.0e+01, igsq=0.95
Reset #3, asq_eff=1.9e+01, igsq=0.95
Reset #4, asq_eff=1.8e+01, igsq=0.95
Reset #5, asq_eff=1.8e+01, igsq=0.95
Reset #6, asq_eff=1.8e+01, igsq=0.95
Reset #7, asq_eff=1.7e+01, igsq=0.95
Reset #8, asq_eff=1.8e+01, igsq=0.95
Reset #9, asq_eff=1.7e+01, igsq=0.95
Reset #10, asq_eff=1.8e+01, igsq=0.95
Steps remaining: 144, asq_eff=1.7e+01, igsq=0.95
Reset #11, asq_eff=1.7e+01, igsq=0.95
Reset #12, asq_eff=1.8e+01, igsq=0.95
Reset #13, asq_eff=1.7e+01, igsq=0.95
Reset #14, asq_eff=1.8e+01, igsq=0.95
Reset #15, asq_eff=1.7e+01, igsq=0.95
Reset #16, asq_eff=1.8e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=1.76e+01, N_step=139
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  19
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  20
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  21
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  22
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  23
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  24
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  25

LPL []
MPL []
eq37 Before S: 3209374.745784635
eq37  S: 2.402964014911092e-05
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=1.8e+01, igsq=1e-06
Reset #2, asq_eff=1.4e+01, igsq=1e-06
Reset #3, asq_eff=8.0e+00, igsq=1e-06
Reset #4, asq_eff=7.5e+00, igsq=1e-06
Reset #5, asq_eff=6.8e+00, igsq=1e-06
Reset #6, asq_eff=6.9e+00, igsq=1e-06
Reset #7, asq_eff=7.0e+00, igsq=1e-06
Reset #8, asq_eff=6.4e+00, igsq=1e-06
Reset #9, asq_eff=6.3e+00, igsq=1e-06
Reset #10, asq_eff=5.9e+00, igsq=1e-06
Reset #11, asq_eff=5.8e+00, igsq=1e-06
Steps remaining: 87, asq_eff=5.6e+00, igsq=1e-06
Reset #12, asq_eff=5.7e+00, igsq=1e-06
Reset #13, asq_eff=5.2e+00, igsq=1e-06
Reset #14, asq_eff=5.0e+00, igsq=1e-06
Reset #15, asq_eff=4.9e+00, igsq=1e-06
Reset #16, asq_eff=4.7e+00, igsq=1e-06
Reset #17, asq_eff=4.8e+00, igsq=1e-06
Reset #18, asq_eff=4.7e+00, igsq=1e-06
Reset #19, asq_eff=4.5e+00, igsq=1e-06
Reset #20, asq_eff=4.6e+00, igsq=1e-06
Reset #21, asq_eff=4.3e+00, igsq=1e-06
Reset #22, asq_eff=4.4e+00, igsq=1e-06
Reset #23, asq_eff=4.4e+00, igsq=1e-06
Reset #24, asq_eff=4.4e+00, igsq=1e-06
Reset #25, asq_eff=4.1e+00, igsq=1e-06
Reset #26, asq_eff=4.1e+00, igsq=1e-06
Reset #27, asq_eff=4.1e+00, igsq=1e-06
Reset #28, asq_eff=4.1e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=4.13e+00, N_step=223
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=6.5e+00, igsq=1e-05
Reset #2, asq_eff=7.1e+00, igsq=1e-05
Reset #3, asq_eff=7.4e+00, igsq=1e-05
Reset #4, asq_eff=6.9e+00, igsq=1e-05
Reset #5, asq_eff=6.2e+00, igsq=1e-05
Steps remaining: 87, asq_eff=5.6e+00, igsq=1e-05
Reset #6, asq_eff=5.5e+00, igsq=1e-05
Reset #7, asq_eff=5.5e+00, igsq=1e-05
Reset #8, asq_eff=5.2e+00, igsq=1e-05
Reset #9, asq_eff=5.3e+00, igsq=1e-05
Reset #10, asq_eff=5.3e+00, igsq=1e-05
Reset #11, asq_eff=5.4e+00, igsq=1e-05
Reset #12, asq_eff=5.1e+00, igsq=1e-05
Steps remaining: 81, asq_eff=5.0e+00, igsq=1e-05
Reset #13, asq_eff=5.1e+00, igsq=1e-05
Reset #14, asq_eff=5.1e+00, igsq=1e-05
Reset #15, asq_eff=5.2e+00, igsq=1e-05
Reset #16, asq_eff=5.2e+00, igsq=1e-05
Reset #17, asq_eff=5.3e+00, igsq=1e-05
Reset #18, asq_eff=5.3e+00, igsq=1e-05
Reset #19, asq_eff=5.4e+00, igsq=1e-05
Reset #20, asq_eff=5.4e+00, igsq=1e-05
Steps remaining: 78, asq_eff=4.7e+00, igsq=1e-05
Reset #21, asq_eff=4.9e+00, igsq=1e-05
Reset #22, asq_eff=4.9e+00, igsq=1e-05
Reset #23, asq_eff=5.0e+00, igsq=1e-05
Reset #24, asq_eff=5.0e+00, igsq=1e-05
Reset #25, asq_eff=5.0e+00, igsq=1e-05
Reset #26, asq_eff=4.7e+00, igsq=1e-05
Reset #27, asq_eff=4.8e+00, igsq=1e-05
Reset #28, asq_eff=4.8e+00, igsq=1e-05
Reset #29, asq_eff=4.9e+00, igsq=1e-05
Steps remaining: 79, asq_eff=4.8e+00, igsq=1e-05
Reset #30, asq_eff=4.9e+00, igsq=1e-05
Reset #31, asq_eff=5.0e+00, igsq=1e-05
Reset #32, asq_eff=4.9e+00, igsq=1e-05
Reset #33, asq_eff=4.8e+00, igsq=1e-05
Reset #34, asq_eff=4.8e+00, igsq=1e-05
Reset #35, asq_eff=4.8e+00, igsq=1e-05
Reset #36, asq_eff=4.8e+00, igsq=1e-05
Reset #37, asq_eff=4.9e+00, igsq=1e-05
Reset #38, asq_eff=4.9e+00, igsq=1e-05
Reset #39, asq_eff=5.0e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=4.95e+00, N_step=244
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=9.1e+00, igsq=0.0001
Reset #2, asq_eff=9.9e+00, igsq=0.0001
Reset #3, asq_eff=9.5e+00, igsq=0.0001
Reset #4, asq_eff=8.6e+00, igsq=0.0001
Reset #5, asq_eff=8.7e+00, igsq=0.0001
Reset #6, asq_eff=7.9e+00, igsq=0.0001
Steps remaining: 101, asq_eff=7.5e+00, igsq=0.0001
Reset #7, asq_eff=7.4e+00, igsq=0.0001
Reset #8, asq_eff=7.5e+00, igsq=0.0001
Reset #9, asq_eff=7.0e+00, igsq=0.0001
Reset #10, asq_eff=6.6e+00, igsq=0.0001
Reset #11, asq_eff=6.6e+00, igsq=0.0001
Reset #12, asq_eff=6.5e+00, igsq=0.0001
Steps remaining: 92, asq_eff=6.2e+00, igsq=0.0001
Reset #13, asq_eff=6.1e+00, igsq=0.0001
Reset #14, asq_eff=6.1e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=6.12e+00, N_step=161
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Reset #1, asq_eff=3.6e+01, igsq=0.95
Reset #2, asq_eff=2.0e+01, igsq=0.95
Reset #3, asq_eff=1.7e+01, igsq=0.95
Reset #4, asq_eff=1.6e+01, igsq=0.95
Reset #5, asq_eff=1.6e+01, igsq=0.95
Reset #6, asq_eff=1.6e+01, igsq=0.95
Reset #7, asq_eff=1.6e+01, igsq=0.95
Reset #8, asq_eff=1.6e+01, igsq=0.95
Reset #9, asq_eff=1.6e+01, igsq=0.95
Steps remaining: 138, asq_eff=1.5e+01, igsq=0.95
Reset #10, asq_eff=1.6e+01, igsq=0.95
Reset #11, asq_eff=1.6e+01, igsq=0.95
Reset #12, asq_eff=1.6e+01, igsq=0.95
Reset #13, asq_eff=1.6e+01, igsq=0.95
Reset #14, asq_eff=1.6e+01, igsq=0.95
Reset #15, asq_eff=1.6e+01, igsq=0.95
Reset #16, asq_eff=1.6e+01, igsq=0.95
Reset #17, asq_eff=1.6e+01, igsq=0.95
Reset #18, asq_eff=1.6e+01, igsq=0.95
Reset #19, asq_eff=1.6e+01, igsq=0.95
Reset #20, asq_eff=1.6e+01, igsq=0.95
Reset #21, asq_eff=1.6e+01, igsq=0.95
Steps remaining: 138, asq_eff=1.5e+01, igsq=0.95
Reset #22, asq_eff=1.6e+01, igsq=0.95
Reset #23, asq_eff=1.6e+01, igsq=0.95
Reset #24, asq_eff=1.6e+01, igsq=0.95
Reset #25, asq_eff=1.6e+01, igsq=0.95
Reset #26, asq_eff=1.6e+01, igsq=0.95
Reset #27, asq_eff=1.6e+01, igsq=0.95
Reset #28, asq_eff=1.6e+01, igsq=0.95
Reset #29, asq_eff=1.6e+01, igsq=0.95
Reset #30, asq_eff=1.6e+01, igsq=0.95
Reset #31, asq_eff=1.6e+01, igsq=0.95
Reset #32, asq_eff=1.6e+01, igsq=0.95
Reset #33, asq_eff=1.6e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=1.57e+01, N_step=184
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  26
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  27
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  28
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  29
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  30
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  31
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  32
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  33

LPL []
MPL []
eq37 Before S: 15346470.37574544
eq37  S: 7.078221438745508e-05
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=4.6e+00, igsq=1e-06
Reset #2, asq_eff=4.2e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=4.24e+00, N_step=105
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Reset #1, asq_eff=5.0e+01, igsq=1e-05
Reset #2, asq_eff=2.0e+01, igsq=1e-05
Reset #3, asq_eff=1.3e+01, igsq=1e-05
Reset #4, asq_eff=1.3e+01, igsq=1e-05
Reset #5, asq_eff=1.3e+01, igsq=1e-05
Reset #6, asq_eff=1.2e+01, igsq=1e-05
Reset #7, asq_eff=1.2e+01, igsq=1e-05
Steps remaining: 125, asq_eff=1.2e+01, igsq=1e-05
Reset #8, asq_eff=1.2e+01, igsq=1e-05
Reset #9, asq_eff=1.2e+01, igsq=1e-05
Reset #10, asq_eff=1.2e+01, igsq=1e-05
Reset #11, asq_eff=1.2e+01, igsq=1e-05
Reset #12, asq_eff=1.2e+01, igsq=1e-05
Reset #13, asq_eff=1.1e+01, igsq=1e-05
Reset #14, asq_eff=1.0e+01, igsq=1e-05
Reset #15, asq_eff=1.0e+01, igsq=1e-05
Reset #16, asq_eff=1.1e+01, igsq=1e-05
Reset #17, asq_eff=9.6e+00, igsq=1e-05
Reset #18, asq_eff=9.7e+00, igsq=1e-05
Reset #19, asq_eff=9.4e+00, igsq=1e-05
Reset #20, asq_eff=9.0e+00, igsq=1e-05
Steps remaining: 109, asq_eff=8.6e+00, igsq=1e-05
Reset #21, asq_eff=8.9e+00, igsq=1e-05
Reset #22, asq_eff=9.0e+00, igsq=1e-05
Reset #23, asq_eff=8.9e+00, igsq=1e-05
Reset #24, asq_eff=8.8e+00, igsq=1e-05
Reset #25, asq_eff=8.9e+00, igsq=1e-05
Reset #26, asq_eff=9.0e+00, igsq=1e-05
Reset #27, asq_eff=9.1e+00, igsq=1e-05
Reset #28, asq_eff=9.1e+00, igsq=1e-05
Reset #29, asq_eff=8.9e+00, igsq=1e-05
Reset #30, asq_eff=8.8e+00, igsq=1e-05
Steps remaining: 109, asq_eff=8.6e+00, igsq=1e-05
Reset #31, asq_eff=8.9e+00, igsq=1e-05
Reset #32, asq_eff=8.8e+00, igsq=1e-05
Reset #33, asq_eff=8.9e+00, igsq=1e-05
Reset #34, asq_eff=7.7e+00, igsq=1e-05
Reset #35, asq_eff=7.7e+00, igsq=1e-05
Reset #36, asq_eff=7.7e+00, igsq=1e-05
Reset #37, asq_eff=7.4e+00, igsq=1e-05
Steps remaining: 99, asq_eff=7.1e+00, igsq=1e-05
Reset #38, asq_eff=7.4e+00, igsq=1e-05
Reset #39, asq_eff=7.4e+00, igsq=1e-05
Reset #40, asq_eff=7.5e+00, igsq=1e-05
Reset #41, asq_eff=7.4e+00, igsq=1e-05
Reset #42, asq_eff=6.9e+00, igsq=1e-05
Reset #43, asq_eff=7.0e+00, igsq=1e-05
Reset #44, asq_eff=7.1e+00, igsq=1e-05
Reset #45, asq_eff=7.1e+00, igsq=1e-05
Steps remaining: 97, asq_eff=6.9e+00, igsq=1e-05
Reset #46, asq_eff=6.8e+00, igsq=1e-05
Reset #47, asq_eff=6.6e+00, igsq=1e-05
Reset #48, asq_eff=6.7e+00, igsq=1e-05
Reset #49, asq_eff=6.5e+00, igsq=1e-05
Reset #50, asq_eff=6.5e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=6.53e+00, N_step=295
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=2.5e+01, igsq=0.0001
Reset #2, asq_eff=9.9e+00, igsq=0.0001
Reset #3, asq_eff=7.4e+00, igsq=0.0001
Reset #4, asq_eff=7.2e+00, igsq=0.0001
Reset #5, asq_eff=7.3e+00, igsq=0.0001
Reset #6, asq_eff=7.2e+00, igsq=0.0001
Reset #7, asq_eff=7.2e+00, igsq=0.0001
Reset #8, asq_eff=6.4e+00, igsq=0.0001
Reset #9, asq_eff=6.4e+00, igsq=0.0001
Reset #10, asq_eff=6.4e+00, igsq=0.0001
Reset #11, asq_eff=6.1e+00, igsq=0.0001
Reset #12, asq_eff=6.0e+00, igsq=0.0001
Reset #13, asq_eff=6.0e+00, igsq=0.0001
Reset #14, asq_eff=5.9e+00, igsq=0.0001
Reset #15, asq_eff=6.0e+00, igsq=0.0001
Reset #16, asq_eff=5.8e+00, igsq=0.0001
Reset #17, asq_eff=5.9e+00, igsq=0.0001
Reset #18, asq_eff=5.9e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=5.93e+00, N_step=173
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Reset #1, asq_eff=1.7e+00, igsq=0.24608743643178863
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=2.46e-01 and asq=1.00e+00, N_step=110
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=6.06e-01 and asq=1.00e+00, N_step=106
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Reset #1, asq_eff=5.0e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=5.00e+01, N_step=95
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  34
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  35
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  36
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  37
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  38
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  39

LPL []
MPL []
eq37 Before S: 73383186.15315685
eq37  S: 0.00042678787880340687
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=1.8e+01, igsq=1e-06
Reset #2, asq_eff=2.0e+01, igsq=1e-06
Reset #3, asq_eff=2.0e+01, igsq=1e-06
Reset #4, asq_eff=1.8e+01, igsq=1e-06
Reset #5, asq_eff=1.8e+01, igsq=1e-06
Reset #6, asq_eff=1.7e+01, igsq=1e-06
Reset #7, asq_eff=1.7e+01, igsq=1e-06
Reset #8, asq_eff=1.7e+01, igsq=1e-06
Reset #9, asq_eff=1.7e+01, igsq=1e-06
Reset #10, asq_eff=1.7e+01, igsq=1e-06
Reset #11, asq_eff=1.5e+01, igsq=1e-06
Reset #12, asq_eff=1.4e+01, igsq=1e-06
Reset #13, asq_eff=1.4e+01, igsq=1e-06
Reset #14, asq_eff=1.4e+01, igsq=1e-06
Reset #15, asq_eff=1.5e+01, igsq=1e-06
Reset #16, asq_eff=1.5e+01, igsq=1e-06
Steps remaining: 134, asq_eff=1.4e+01, igsq=1e-06
Reset #17, asq_eff=1.5e+01, igsq=1e-06
Reset #18, asq_eff=1.5e+01, igsq=1e-06
Reset #19, asq_eff=1.5e+01, igsq=1e-06
Reset #20, asq_eff=1.5e+01, igsq=1e-06
Reset #21, asq_eff=1.5e+01, igsq=1e-06
Reset #22, asq_eff=1.4e+01, igsq=1e-06
Reset #23, asq_eff=1.4e+01, igsq=1e-06
Reset #24, asq_eff=1.4e+01, igsq=1e-06
Steps remaining: 133, asq_eff=1.4e+01, igsq=1e-06
Reset #25, asq_eff=1.4e+01, igsq=1e-06
Reset #26, asq_eff=1.4e+01, igsq=1e-06
Reset #27, asq_eff=1.4e+01, igsq=1e-06
Reset #28, asq_eff=1.4e+01, igsq=1e-06
Reset #29, asq_eff=1.3e+01, igsq=1e-06
Reset #30, asq_eff=1.3e+01, igsq=1e-06
Reset #31, asq_eff=1.3e+01, igsq=1e-06
Reset #32, asq_eff=1.3e+01, igsq=1e-06
Reset #33, asq_eff=1.3e+01, igsq=1e-06
Reset #34, asq_eff=1.3e+01, igsq=1e-06
Steps remaining: 130, asq_eff=1.3e+01, igsq=1e-06
Reset #35, asq_eff=1.3e+01, igsq=1e-06
Reset #36, asq_eff=1.3e+01, igsq=1e-06
Reset #37, asq_eff=1.2e+01, igsq=1e-06
Reset #38, asq_eff=1.3e+01, igsq=1e-06
Reset #39, asq_eff=1.3e+01, igsq=1e-06
Reset #40, asq_eff=1.2e+01, igsq=1e-06
Reset #41, asq_eff=1.1e+01, igsq=1e-06
Reset #42, asq_eff=1.1e+01, igsq=1e-06
Reset #43, asq_eff=1.1e+01, igsq=1e-06
Reset #44, asq_eff=1.1e+01, igsq=1e-06
Reset #45, asq_eff=1.1e+01, igsq=1e-06
Reset #46, asq_eff=1.1e+01, igsq=1e-06
Reset #47, asq_eff=1.0e+01, igsq=1e-06
Reset #48, asq_eff=1.1e+01, igsq=1e-06
Reset #49, asq_eff=1.1e+01, igsq=1e-06
Reset #50, asq_eff=9.9e+00, igsq=1e-06
Steps remaining: 114, asq_eff=9.6e+00, igsq=1e-06
Reset #51, asq_eff=9.8e+00, igsq=1e-06
Reset #52, asq_eff=9.9e+00, igsq=1e-06
Reset #53, asq_eff=9.6e+00, igsq=1e-06
Reset #54, asq_eff=9.7e+00, igsq=1e-06
Reset #55, asq_eff=9.8e+00, igsq=1e-06
Reset #56, asq_eff=9.9e+00, igsq=1e-06
Reset #57, asq_eff=1.0e+01, igsq=1e-06
Reset #58, asq_eff=9.7e+00, igsq=1e-06
Steps remaining: 114, asq_eff=9.6e+00, igsq=1e-06
Reset #59, asq_eff=9.8e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=9.65e+00, N_step=302
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=1.8e+01, igsq=1e-05
Reset #2, asq_eff=1.2e+01, igsq=1e-05
Reset #3, asq_eff=1.2e+01, igsq=1e-05
Reset #4, asq_eff=1.1e+01, igsq=1e-05
Reset #5, asq_eff=1.1e+01, igsq=1e-05
Reset #6, asq_eff=1.1e+01, igsq=1e-05
Reset #7, asq_eff=1.1e+01, igsq=1e-05
Reset #8, asq_eff=1.2e+01, igsq=1e-05
Steps remaining: 117, asq_eff=1.0e+01, igsq=1e-05
Reset #9, asq_eff=9.5e+00, igsq=1e-05
Reset #10, asq_eff=9.4e+00, igsq=1e-05
Reset #11, asq_eff=9.3e+00, igsq=1e-05
Reset #12, asq_eff=9.4e+00, igsq=1e-05
Reset #13, asq_eff=9.5e+00, igsq=1e-05
Reset #14, asq_eff=9.6e+00, igsq=1e-05
Reset #15, asq_eff=9.7e+00, igsq=1e-05
Reset #16, asq_eff=9.4e+00, igsq=1e-05
Reset #17, asq_eff=9.3e+00, igsq=1e-05
Reset #18, asq_eff=9.3e+00, igsq=1e-05
Reset #19, asq_eff=9.3e+00, igsq=1e-05
Reset #20, asq_eff=9.4e+00, igsq=1e-05
Reset #21, asq_eff=9.2e+00, igsq=1e-05
Reset #22, asq_eff=9.1e+00, igsq=1e-05
Reset #23, asq_eff=8.6e+00, igsq=1e-05
Reset #24, asq_eff=8.7e+00, igsq=1e-05
Reset #25, asq_eff=8.8e+00, igsq=1e-05
Reset #26, asq_eff=8.5e+00, igsq=1e-05
Reset #27, asq_eff=8.3e+00, igsq=1e-05
Reset #28, asq_eff=8.1e+00, igsq=1e-05
Reset #29, asq_eff=7.7e+00, igsq=1e-05
Reset #30, asq_eff=7.7e+00, igsq=1e-05
Reset #31, asq_eff=7.4e+00, igsq=1e-05
Steps remaining: 100, asq_eff=7.2e+00, igsq=1e-05
Reset #32, asq_eff=7.0e+00, igsq=1e-05
Reset #33, asq_eff=6.5e+00, igsq=1e-05
Reset #34, asq_eff=6.5e+00, igsq=1e-05
Reset #35, asq_eff=6.2e+00, igsq=1e-05
Reset #36, asq_eff=6.1e+00, igsq=1e-05
Reset #37, asq_eff=5.9e+00, igsq=1e-05
Steps remaining: 88, asq_eff=5.7e+00, igsq=1e-05
Reset #38, asq_eff=5.6e+00, igsq=1e-05
Reset #39, asq_eff=5.7e+00, igsq=1e-05
Reset #40, asq_eff=5.5e+00, igsq=1e-05
Reset #41, asq_eff=5.6e+00, igsq=1e-05
Reset #42, asq_eff=5.3e+00, igsq=1e-05
Reset #43, asq_eff=5.4e+00, igsq=1e-05
Reset #44, asq_eff=5.4e+00, igsq=1e-05
Reset #45, asq_eff=5.3e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=5.26e+00, N_step=273
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=1.7e+00, igsq=0.0001
Reset #2, asq_eff=1.8e+00, igsq=0.0001
Reset #3, asq_eff=1.9e+00, igsq=0.0001
Reset #4, asq_eff=1.9e+00, igsq=0.0001
Reset #5, asq_eff=1.9e+00, igsq=0.0001
Reset #6, asq_eff=1.9e+00, igsq=0.0001
Reset #7, asq_eff=2.0e+00, igsq=0.0001
Reset #8, asq_eff=2.0e+00, igsq=0.0001
Steps remaining: 33, asq_eff=1.9e+00, igsq=0.0001
Reset #9, asq_eff=2.0e+00, igsq=0.0001
Reset #10, asq_eff=2.0e+00, igsq=0.0001
Reset #11, asq_eff=2.0e+00, igsq=0.0001
Reset #12, asq_eff=2.0e+00, igsq=0.0001
Reset #13, asq_eff=2.1e+00, igsq=0.0001
Reset #14, asq_eff=2.0e+00, igsq=0.0001
Reset #15, asq_eff=2.0e+00, igsq=0.0001
Reset #16, asq_eff=2.0e+00, igsq=0.0001
Reset #17, asq_eff=2.1e+00, igsq=0.0001
Reset #18, asq_eff=2.0e+00, igsq=0.0001
Reset #19, asq_eff=1.9e+00, igsq=0.0001
Reset #20, asq_eff=1.9e+00, igsq=0.0001
Reset #21, asq_eff=1.9e+00, igsq=0.0001
Reset #22, asq_eff=1.9e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=1.86e+00, N_step=178
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Reset #1, asq_eff=2.3e+00, igsq=0.15687174265360496
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.57e-01 and asq=1.00e+00, N_step=111
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Reset #1, asq_eff=6.5e+00, igsq=0.24608743643178863
Reset #2, asq_eff=6.0e+00, igsq=0.24608743643178863
Reset #3, asq_eff=2.7e+00, igsq=0.24608743643178863
Reset #4, asq_eff=2.2e+00, igsq=0.24608743643178863
Steps remaining: 35, asq_eff=2.1e+00, igsq=0.24608743643178863
Reset #5, asq_eff=2.1e+00, igsq=0.24608743643178863
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=2.46e-01 and asq=2.13e+00, N_step=127
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Reset #1, asq_eff=1.7e+00, igsq=0.38604164998212914
Non-optimal solve at igsq=3.86e-01 and asq=1.00e+00, N_step=110
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Reset #1, asq_eff=1.3e+01, igsq=0.605590263695696
Reset #2, asq_eff=1.4e+01, igsq=0.605590263695696
Reset #3, asq_eff=8.7e+00, igsq=0.605590263695696
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.605590263695696 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=6.06e-01 and asq=8.74e+00, N_step=109
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Reset #1, asq_eff=1.5e+03, igsq=0.95
Steps remaining: 33, asq_eff=2.7e+02, igsq=0.95
Reset #2, asq_eff=2.1e+02, igsq=0.95
Reset #3, asq_eff=1.9e+02, igsq=0.95
Reset #4, asq_eff=1.9e+02, igsq=0.95
Reset #5, asq_eff=1.7e+02, igsq=0.95
Reset #6, asq_eff=1.6e+02, igsq=0.95
Reset #7, asq_eff=1.6e+02, igsq=0.95
Reset #8, asq_eff=1.6e+02, igsq=0.95
Steps remaining: 256, asq_eff=1.6e+02, igsq=0.95
Reset #9, asq_eff=1.5e+02, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=1.48e+02, N_step=131
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  40
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  41
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  42
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  43
Captured stderr call

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100%|██████████| 6/6 [59:12<00:00, 592.60s/it]
100%|██████████| 6/6 [59:12<00:00, 592.03s/it]
captured errors:
folder = 'ExampleModels_rescale'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_calc_HiB(folder):
        sysB = get_systemB(folder = folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if folder == 'ExampleModels_newFOM_F3':
            FOM_out = ["F3.out", "F2.out"]
        else:
            FOM_out = ["FBNS.out", "F2.out"]
        wn_in = ["S.in", "O.in"]
        Zinf = ["Zinf.in"]
        control_in = ["U.in"]
        meas_out = ["T.out"]

        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[0], FBNS_scale)
        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[1], FFlat_scale)

        # Scale the DARM output
        if 'DARM.out' in sysB.sys.outputs.keys():
            print('scaling DARM')
            DARM_scale_factor = strain2m * SNR_intg_factor
            sysB.sys = ssutil.scale_io(sysB.sys, 'DARM.out', DARM_scale_factor)

        params = {}
        if folder == 'ExampleModels':
            params['F1_gain'] = np.geomspace(1e1, 1e5, 5) * 1/FBNS_scale # was 1e1 3e3
        elif folder == 'ExampleModels_newFOM_F3':
            params['F1_gain'] = np.geomspace(1e-6, 1e-3, 5) * 1/FBNS_scale
        else:
            params["F1_gain"] = np.geomspace(4e1, 1e5, 6) * 1/FBNS_scale
            #params["F1_gain"] = np.array([0.09146101038546522])

        # params["igsq_capture"] = [
        #     0,  # H2 constraint
        #     1.8e-2,  # 1 deg
        #     1e-1,  # 6 deg
        #     0.20,  # 11.5 deg
        #     0.3,  # 17 deg
        #     0.5,  # 30 deg
        #     0.7653668647301797,  # 45 deg
        #     0.85,  # 50.0 deg
        #     0.90,  # 53.5 deg
        #     0.95,  # 56.5 deg
        #     # above this it gets very hairy
        #     # these are 10 solutions
        # ]

        # params["igsq_capture"] = np.geomspace(1e-6, 0.99, 40)
        params["igsq_capture"] = np.concatenate([np.geomspace(1e-6, 0.1, 6), np.geomspace(.1, 0.95, 6)])

        plotting_omega = np.logspace(-3, 4, 1000) * 2 * np.pi
        results_Hib_bare = compute.calcOpt(
            sysB.sys,
            control_in,
            wn_in,
            meas_out,
            FOM_out,
            params,
            Zinf=Zinf,
            solver="HB",
            plant_orig=sysB.orig_plant,
            BH_solver = BH1solverset,
            debug_mode=True,
        )

>       current_range = np.loadtxt(fjoin(folder, 'FBNS_Current_range.txt')) # Saved by the normalization in the make function

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:399: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:1373: in loadtxt
    arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:992: in _read
    fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:193: in open
    return ds.open(path, mode, encoding=encoding, newline=newline)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <numpy.DataSource object at 0x7f8cd07b5820>
path = '/builds/buzz/test/ASC_SOLVER/ExampleModels_rescale/FBNS_Current_range.txt'
mode = 'rt', encoding = None, newline = None

    def open(self, path, mode='r', encoding=None, newline=None):
        """
        Open and return file-like object.

        If `path` is an URL, it will be downloaded, stored in the
        `DataSource` directory and opened from there.

        Parameters
        ----------
        path : str
            Local file path or URL to open.
        mode : {'r', 'w', 'a'}, optional
            Mode to open `path`.  Mode 'r' for reading, 'w' for writing,
            'a' to append. Available modes depend on the type of object
            specified by `path`. Default is 'r'.
        encoding : {None, str}, optional
            Open text file with given encoding. The default encoding will be
            what `io.open` uses.
        newline : {None, str}, optional
            Newline to use when reading text file.

        Returns
        -------
        out : file object
            File object.

        """

        # TODO: There is no support for opening a file for writing which
        #       doesn't exist yet (creating a file).  Should there be?

        # TODO: Add a ``subdir`` parameter for specifying the subdirectory
        #       used to store URLs in self._destpath.

        if self._isurl(path) and self._iswritemode(mode):
            raise ValueError("URLs are not writeable")

        # NOTE: _findfile will fail on a new file opened for writing.
        found = self._findfile(path)
        if found:
            _fname, ext = self._splitzipext(found)
            if ext == 'bz2':
                mode.replace("+", "")
            return _file_openers[ext](found, mode=mode,
                                      encoding=encoding, newline=newline)
        else:
>           raise FileNotFoundError(f"{path} not found.")
E           FileNotFoundError: /builds/buzz/test/ASC_SOLVER/ExampleModels_rescale/FBNS_Current_range.txt not found.

/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:533: FileNotFoundError
T_calc_HiB[ExampleModels]
output
LPL []
MPL []
eq37 Before S: 7338.310154448602
eq37  S: 5.896408782572555e-07
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Reset #1, asq_eff=2.5e+01, igsq=0.95
Reset #2, asq_eff=2.0e+01, igsq=0.95
Reset #3, asq_eff=1.7e+01, igsq=0.95
Reset #4, asq_eff=1.7e+01, igsq=0.95
Reset #5, asq_eff=1.7e+01, igsq=0.95
Reset #6, asq_eff=1.7e+01, igsq=0.95
Reset #7, asq_eff=1.6e+01, igsq=0.95
Reset #8, asq_eff=1.7e+01, igsq=0.95
Reset #9, asq_eff=1.6e+01, igsq=0.95
Reset #10, asq_eff=1.6e+01, igsq=0.95
Reset #11, asq_eff=1.6e+01, igsq=0.95
Reset #12, asq_eff=1.6e+01, igsq=0.95
Reset #13, asq_eff=1.6e+01, igsq=0.95
Reset #14, asq_eff=1.6e+01, igsq=0.95
Reset #15, asq_eff=1.6e+01, igsq=0.95
Reset #16, asq_eff=1.6e+01, igsq=0.95
Reset #17, asq_eff=1.6e+01, igsq=0.95
Reset #18, asq_eff=1.6e+01, igsq=0.95
Reset #19, asq_eff=1.6e+01, igsq=0.95
Reset #20, asq_eff=1.6e+01, igsq=0.95
Reset #21, asq_eff=1.6e+01, igsq=0.95
Steps remaining: 138, asq_eff=1.5e+01, igsq=0.95
Reset #22, asq_eff=1.6e+01, igsq=0.95
Reset #23, asq_eff=1.6e+01, igsq=0.95
Reset #24, asq_eff=1.6e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=1.56e+01, N_step=162
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  1
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  2
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  3
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  4
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  5
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  6
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  7
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  8
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  9
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  10
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  11

LPL []
MPL []
eq37 Before S: 73383.11390655754
eq37  S: 3.5144911359751227e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=2.3e+00, igsq=1e-06
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Non-optimal solve at igsq=1.00e-03 and asq=1.00e+00, N_step=105
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Reset #1, asq_eff=2.5e+01, igsq=0.95
Reset #2, asq_eff=2.3e+01, igsq=0.95
Reset #3, asq_eff=2.2e+01, igsq=0.95
Reset #4, asq_eff=2.2e+01, igsq=0.95
Reset #5, asq_eff=2.1e+01, igsq=0.95
Reset #6, asq_eff=2.1e+01, igsq=0.95
Reset #7, asq_eff=2.1e+01, igsq=0.95
Reset #8, asq_eff=2.1e+01, igsq=0.95
Reset #9, asq_eff=2.1e+01, igsq=0.95
Reset #10, asq_eff=2.1e+01, igsq=0.95
Reset #11, asq_eff=2.1e+01, igsq=0.95
Reset #12, asq_eff=2.1e+01, igsq=0.95
Reset #13, asq_eff=2.1e+01, igsq=0.95
Reset #14, asq_eff=2.1e+01, igsq=0.95
Reset #15, asq_eff=2.1e+01, igsq=0.95
Reset #16, asq_eff=2.1e+01, igsq=0.95
Reset #17, asq_eff=2.1e+01, igsq=0.95
Reset #18, asq_eff=2.1e+01, igsq=0.95
Reset #19, asq_eff=2.1e+01, igsq=0.95
Reset #20, asq_eff=2.1e+01, igsq=0.95
Reset #21, asq_eff=2.1e+01, igsq=0.95
Reset #22, asq_eff=2.1e+01, igsq=0.95
Reset #23, asq_eff=2.1e+01, igsq=0.95
Reset #24, asq_eff=2.1e+01, igsq=0.95
Reset #25, asq_eff=2.1e+01, igsq=0.95
Reset #26, asq_eff=2.1e+01, igsq=0.95
Reset #27, asq_eff=2.1e+01, igsq=0.95
Reset #28, asq_eff=2.1e+01, igsq=0.95
Reset #29, asq_eff=2.1e+01, igsq=0.95
Reset #30, asq_eff=2.1e+01, igsq=0.95
Reset #31, asq_eff=2.1e+01, igsq=0.95
Reset #32, asq_eff=2.1e+01, igsq=0.95
Reset #33, asq_eff=2.1e+01, igsq=0.95
Reset #34, asq_eff=2.1e+01, igsq=0.95
Steps remaining: 152, asq_eff=2.0e+01, igsq=0.95
Reset #35, asq_eff=2.1e+01, igsq=0.95
Reset #36, asq_eff=2.1e+01, igsq=0.95
Reset #37, asq_eff=2.1e+01, igsq=0.95
Reset #38, asq_eff=2.1e+01, igsq=0.95
Reset #39, asq_eff=2.1e+01, igsq=0.95
Reset #40, asq_eff=2.1e+01, igsq=0.95
Reset #41, asq_eff=2.1e+01, igsq=0.95
Reset #42, asq_eff=2.1e+01, igsq=0.95
Reset #43, asq_eff=2.1e+01, igsq=0.95
Reset #44, asq_eff=2.1e+01, igsq=0.95
Reset #45, asq_eff=2.1e+01, igsq=0.95
Reset #46, asq_eff=2.1e+01, igsq=0.95
Steps remaining: 152, asq_eff=2.0e+01, igsq=0.95
Reset #47, asq_eff=2.1e+01, igsq=0.95
Reset #48, asq_eff=2.1e+01, igsq=0.95
Reset #49, asq_eff=2.1e+01, igsq=0.95
Reset #50, asq_eff=2.1e+01, igsq=0.95
Reset #51, asq_eff=2.1e+01, igsq=0.95
Reset #52, asq_eff=2.1e+01, igsq=0.95
Reset #53, asq_eff=2.1e+01, igsq=0.95
Reset #54, asq_eff=2.1e+01, igsq=0.95
Reset #55, asq_eff=2.1e+01, igsq=0.95
Reset #56, asq_eff=2.1e+01, igsq=0.95
Reset #57, asq_eff=2.1e+01, igsq=0.95
Reset #58, asq_eff=2.1e+01, igsq=0.95
Steps remaining: 152, asq_eff=2.0e+01, igsq=0.95
Reset #59, asq_eff=2.1e+01, igsq=0.95
Reset #60, asq_eff=2.1e+01, igsq=0.95
Reset #61, asq_eff=2.1e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=2.07e+01, N_step=251
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  12
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  13
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  14
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  15
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  16
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  17
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  18
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  19
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  20
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  21

LPL []
MPL []
eq37 Before S: 733831.4571117946
eq37  S: 4.987559031304975e-06
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=6.5e+00, igsq=1e-06
Reset #2, asq_eff=3.6e+00, igsq=1e-06
Reset #3, asq_eff=3.4e+00, igsq=1e-06
Reset #4, asq_eff=3.1e+00, igsq=1e-06
Steps remaining: 49, asq_eff=2.8e+00, igsq=1e-06
Reset #5, asq_eff=2.9e+00, igsq=1e-06
Reset #6, asq_eff=2.9e+00, igsq=1e-06
Reset #7, asq_eff=2.9e+00, igsq=1e-06
Reset #8, asq_eff=3.0e+00, igsq=1e-06
Reset #9, asq_eff=2.9e+00, igsq=1e-06
Reset #10, asq_eff=2.7e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=2.73e+00, N_step=146
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=1.3e+01, igsq=1e-05
Reset #2, asq_eff=7.1e+00, igsq=1e-05
Reset #3, asq_eff=5.2e+00, igsq=1e-05
Reset #4, asq_eff=5.4e+00, igsq=1e-05
Reset #5, asq_eff=5.4e+00, igsq=1e-05
Reset #6, asq_eff=5.4e+00, igsq=1e-05
Reset #7, asq_eff=5.4e+00, igsq=1e-05
Reset #8, asq_eff=5.5e+00, igsq=1e-05
Reset #9, asq_eff=5.5e+00, igsq=1e-05
Reset #10, asq_eff=5.4e+00, igsq=1e-05
Reset #11, asq_eff=5.1e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=5.11e+00, N_step=136
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=6.5e+00, igsq=0.0001
Reset #2, asq_eff=5.0e+00, igsq=0.0001
Reset #3, asq_eff=5.2e+00, igsq=0.0001
Reset #4, asq_eff=5.1e+00, igsq=0.0001
Reset #5, asq_eff=5.2e+00, igsq=0.0001
Reset #6, asq_eff=5.2e+00, igsq=0.0001
Reset #7, asq_eff=5.1e+00, igsq=0.0001
Steps remaining: 79, asq_eff=4.8e+00, igsq=0.0001
Reset #8, asq_eff=4.9e+00, igsq=0.0001
Reset #9, asq_eff=4.5e+00, igsq=0.0001
Reset #10, asq_eff=4.4e+00, igsq=0.0001
Reset #11, asq_eff=4.4e+00, igsq=0.0001
Reset #12, asq_eff=4.4e+00, igsq=0.0001
Reset #13, asq_eff=4.3e+00, igsq=0.0001
Reset #14, asq_eff=4.2e+00, igsq=0.0001
Reset #15, asq_eff=3.9e+00, igsq=0.0001
Reset #16, asq_eff=3.9e+00, igsq=0.0001
Reset #17, asq_eff=3.9e+00, igsq=0.0001
Reset #18, asq_eff=3.7e+00, igsq=0.0001
Reset #19, asq_eff=3.8e+00, igsq=0.0001
Reset #20, asq_eff=3.7e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=3.75e+00, N_step=179
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Reset #1, asq_eff=6.5e+00, igsq=0.001
Reset #2, asq_eff=4.2e+00, igsq=0.001
Reset #3, asq_eff=4.4e+00, igsq=0.001
Reset #4, asq_eff=4.0e+00, igsq=0.001
Reset #5, asq_eff=4.0e+00, igsq=0.001
Reset #6, asq_eff=3.8e+00, igsq=0.001
Reset #7, asq_eff=3.6e+00, igsq=0.001
Reset #8, asq_eff=3.5e+00, igsq=0.001
Reset #9, asq_eff=3.2e+00, igsq=0.001
Reset #10, asq_eff=3.1e+00, igsq=0.001
Reset #11, asq_eff=2.9e+00, igsq=0.001
Reset #12, asq_eff=3.0e+00, igsq=0.001
Reset #13, asq_eff=3.0e+00, igsq=0.001
Reset #14, asq_eff=2.8e+00, igsq=0.001
Reset #15, asq_eff=2.8e+00, igsq=0.001
Reset #16, asq_eff=2.8e+00, igsq=0.001
Reset #17, asq_eff=2.7e+00, igsq=0.001
Reset #18, asq_eff=2.7e+00, igsq=0.001
Reset #19, asq_eff=2.7e+00, igsq=0.001
Reset #20, asq_eff=2.6e+00, igsq=0.001
Steps remaining: 48, asq_eff=2.6e+00, igsq=0.001
Reset #21, asq_eff=2.7e+00, igsq=0.001
Reset #22, asq_eff=2.7e+00, igsq=0.001
Reset #23, asq_eff=2.6e+00, igsq=0.001
Reset #24, asq_eff=2.6e+00, igsq=0.001
Reset #25, asq_eff=2.6e+00, igsq=0.001
Reset #26, asq_eff=2.6e+00, igsq=0.001
Reset #27, asq_eff=2.7e+00, igsq=0.001
Reset #28, asq_eff=2.7e+00, igsq=0.001
Reset #29, asq_eff=2.7e+00, igsq=0.001
Reset #30, asq_eff=2.7e+00, igsq=0.001
Reset #31, asq_eff=2.7e+00, igsq=0.001
Reset #32, asq_eff=2.7e+00, igsq=0.001
Reset #33, asq_eff=2.7e+00, igsq=0.001
Reset #34, asq_eff=2.6e+00, igsq=0.001
Reset #35, asq_eff=2.5e+00, igsq=0.001
Reset #36, asq_eff=2.5e+00, igsq=0.001
Reset #37, asq_eff=2.5e+00, igsq=0.001
Reset #38, asq_eff=2.5e+00, igsq=0.001
Reset #39, asq_eff=2.5e+00, igsq=0.001
Reset #40, asq_eff=2.3e+00, igsq=0.001
Reset #41, asq_eff=2.3e+00, igsq=0.001
Reset #42, asq_eff=2.3e+00, igsq=0.001
Reset #43, asq_eff=2.4e+00, igsq=0.001
Reset #44, asq_eff=2.3e+00, igsq=0.001
Steps remaining: 41, asq_eff=2.2e+00, igsq=0.001
Reset #45, asq_eff=2.3e+00, igsq=0.001
Reset #46, asq_eff=2.3e+00, igsq=0.001
Reset #47, asq_eff=2.2e+00, igsq=0.001
Reset #48, asq_eff=2.2e+00, igsq=0.001
Reset #49, asq_eff=2.2e+00, igsq=0.001
Reset #50, asq_eff=2.2e+00, igsq=0.001
Reset #51, asq_eff=2.2e+00, igsq=0.001
Reset #52, asq_eff=2.2e+00, igsq=0.001
Reset #53, asq_eff=2.2e+00, igsq=0.001
Non-optimal solve at igsq=1.00e-03 and asq=2.18e+00, N_step=301
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Reset #1, asq_eff=2.5e+01, igsq=0.95
Reset #2, asq_eff=2.0e+01, igsq=0.95
Reset #3, asq_eff=1.9e+01, igsq=0.95
Reset #4, asq_eff=1.8e+01, igsq=0.95
Reset #5, asq_eff=1.7e+01, igsq=0.95
Reset #6, asq_eff=1.7e+01, igsq=0.95
Reset #7, asq_eff=1.7e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=1.74e+01, N_step=116
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  22
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  23
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  24
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  25
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  26
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  27
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  28

LPL []
MPL []
eq37 Before S: 7338317.189969771
eq37  S: 1.9163664086451427e-05
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=1.3e+01, igsq=1e-06
Reset #2, asq_eff=1.4e+01, igsq=1e-06
Reset #3, asq_eff=1.0e+01, igsq=1e-06
Reset #4, asq_eff=1.1e+01, igsq=1e-06
Reset #5, asq_eff=1.1e+01, igsq=1e-06
Reset #6, asq_eff=9.8e+00, igsq=1e-06
Reset #7, asq_eff=9.9e+00, igsq=1e-06
Reset #8, asq_eff=9.8e+00, igsq=1e-06
Reset #9, asq_eff=9.7e+00, igsq=1e-06
Reset #10, asq_eff=9.8e+00, igsq=1e-06
Reset #11, asq_eff=8.4e+00, igsq=1e-06
Reset #12, asq_eff=7.6e+00, igsq=1e-06
Reset #13, asq_eff=7.6e+00, igsq=1e-06
Reset #14, asq_eff=7.7e+00, igsq=1e-06
Reset #15, asq_eff=7.8e+00, igsq=1e-06
Reset #16, asq_eff=7.9e+00, igsq=1e-06
Reset #17, asq_eff=7.8e+00, igsq=1e-06
Reset #18, asq_eff=7.9e+00, igsq=1e-06
Reset #19, asq_eff=7.1e+00, igsq=1e-06
Reset #20, asq_eff=6.9e+00, igsq=1e-06
Reset #21, asq_eff=6.9e+00, igsq=1e-06
Reset #22, asq_eff=6.5e+00, igsq=1e-06
Reset #23, asq_eff=6.4e+00, igsq=1e-06
Reset #24, asq_eff=6.5e+00, igsq=1e-06
Reset #25, asq_eff=6.5e+00, igsq=1e-06
Reset #26, asq_eff=6.6e+00, igsq=1e-06
Reset #27, asq_eff=6.7e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=6.65e+00, N_step=206
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=1.8e+01, igsq=1e-05
Reset #2, asq_eff=9.9e+00, igsq=1e-05
Reset #3, asq_eff=9.5e+00, igsq=1e-05
Reset #4, asq_eff=9.7e+00, igsq=1e-05
Reset #5, asq_eff=9.2e+00, igsq=1e-05
Reset #6, asq_eff=8.6e+00, igsq=1e-05
Reset #7, asq_eff=8.5e+00, igsq=1e-05
Reset #8, asq_eff=8.4e+00, igsq=1e-05
Reset #9, asq_eff=8.2e+00, igsq=1e-05
Reset #10, asq_eff=8.3e+00, igsq=1e-05
Reset #11, asq_eff=8.2e+00, igsq=1e-05
Reset #12, asq_eff=7.6e+00, igsq=1e-05
Reset #13, asq_eff=7.7e+00, igsq=1e-05
Reset #14, asq_eff=7.6e+00, igsq=1e-05
Reset #15, asq_eff=7.6e+00, igsq=1e-05
Reset #16, asq_eff=7.6e+00, igsq=1e-05
Reset #17, asq_eff=7.4e+00, igsq=1e-05
Reset #18, asq_eff=7.5e+00, igsq=1e-05
Reset #19, asq_eff=7.6e+00, igsq=1e-05
Reset #20, asq_eff=6.7e+00, igsq=1e-05
Reset #21, asq_eff=6.7e+00, igsq=1e-05
Reset #22, asq_eff=6.8e+00, igsq=1e-05
Reset #23, asq_eff=6.5e+00, igsq=1e-05
Reset #24, asq_eff=6.5e+00, igsq=1e-05
Reset #25, asq_eff=6.6e+00, igsq=1e-05
Reset #26, asq_eff=6.3e+00, igsq=1e-05
Reset #27, asq_eff=6.3e+00, igsq=1e-05
Reset #28, asq_eff=6.4e+00, igsq=1e-05
Reset #29, asq_eff=6.5e+00, igsq=1e-05
Reset #30, asq_eff=6.5e+00, igsq=1e-05
Reset #31, asq_eff=6.5e+00, igsq=1e-05
Reset #32, asq_eff=6.4e+00, igsq=1e-05
Reset #33, asq_eff=6.5e+00, igsq=1e-05
Reset #34, asq_eff=5.8e+00, igsq=1e-05
Reset #35, asq_eff=5.8e+00, igsq=1e-05
Steps remaining: 87, asq_eff=5.6e+00, igsq=1e-05
Reset #36, asq_eff=5.8e+00, igsq=1e-05
Reset #37, asq_eff=5.7e+00, igsq=1e-05
Reset #38, asq_eff=5.8e+00, igsq=1e-05
Reset #39, asq_eff=5.8e+00, igsq=1e-05
Reset #40, asq_eff=5.8e+00, igsq=1e-05
Reset #41, asq_eff=5.8e+00, igsq=1e-05
Reset #42, asq_eff=5.9e+00, igsq=1e-05
Reset #43, asq_eff=5.8e+00, igsq=1e-05
Reset #44, asq_eff=5.9e+00, igsq=1e-05
Reset #45, asq_eff=5.8e+00, igsq=1e-05
Reset #46, asq_eff=5.8e+00, igsq=1e-05
Reset #47, asq_eff=5.8e+00, igsq=1e-05
Reset #48, asq_eff=5.6e+00, igsq=1e-05
Reset #49, asq_eff=5.6e+00, igsq=1e-05
Reset #50, asq_eff=5.7e+00, igsq=1e-05
Reset #51, asq_eff=5.6e+00, igsq=1e-05
Reset #52, asq_eff=5.7e+00, igsq=1e-05
Steps remaining: 87, asq_eff=5.6e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=5.46e+00, N_step=301
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=9.1e+00, igsq=0.0001
Reset #2, asq_eff=9.9e+00, igsq=0.0001
Reset #3, asq_eff=1.0e+01, igsq=0.0001
Reset #4, asq_eff=8.9e+00, igsq=0.0001
Reset #5, asq_eff=8.8e+00, igsq=0.0001
Reset #6, asq_eff=8.9e+00, igsq=0.0001
Reset #7, asq_eff=8.3e+00, igsq=0.0001
Reset #8, asq_eff=8.4e+00, igsq=0.0001
Reset #9, asq_eff=8.5e+00, igsq=0.0001
Reset #10, asq_eff=8.6e+00, igsq=0.0001
Reset #11, asq_eff=8.7e+00, igsq=0.0001
Reset #12, asq_eff=8.8e+00, igsq=0.0001
Reset #13, asq_eff=8.8e+00, igsq=0.0001
Reset #14, asq_eff=8.9e+00, igsq=0.0001
Reset #15, asq_eff=9.0e+00, igsq=0.0001
Reset #16, asq_eff=8.8e+00, igsq=0.0001
Reset #17, asq_eff=8.8e+00, igsq=0.0001
Reset #18, asq_eff=8.8e+00, igsq=0.0001
Steps remaining: 107, asq_eff=8.2e+00, igsq=0.0001
Reset #19, asq_eff=8.2e+00, igsq=0.0001
Reset #20, asq_eff=7.5e+00, igsq=0.0001
Reset #21, asq_eff=7.5e+00, igsq=0.0001
Reset #22, asq_eff=7.6e+00, igsq=0.0001
Reset #23, asq_eff=7.1e+00, igsq=0.0001
Reset #24, asq_eff=7.2e+00, igsq=0.0001
Steps remaining: 98, asq_eff=6.9e+00, igsq=0.0001
Reset #25, asq_eff=7.0e+00, igsq=0.0001
Reset #26, asq_eff=6.9e+00, igsq=0.0001
Reset #27, asq_eff=7.0e+00, igsq=0.0001
Reset #28, asq_eff=7.0e+00, igsq=0.0001
Reset #29, asq_eff=6.7e+00, igsq=0.0001
Reset #30, asq_eff=6.6e+00, igsq=0.0001
Reset #31, asq_eff=6.7e+00, igsq=0.0001
Reset #32, asq_eff=6.5e+00, igsq=0.0001
Reset #33, asq_eff=6.6e+00, igsq=0.0001
Steps remaining: 94, asq_eff=6.4e+00, igsq=0.0001
Reset #34, asq_eff=6.6e+00, igsq=0.0001
Reset #35, asq_eff=6.2e+00, igsq=0.0001
Reset #36, asq_eff=6.2e+00, igsq=0.0001
Reset #37, asq_eff=6.1e+00, igsq=0.0001
Reset #38, asq_eff=6.0e+00, igsq=0.0001
Reset #39, asq_eff=6.1e+00, igsq=0.0001
Reset #40, asq_eff=6.1e+00, igsq=0.0001
Reset #41, asq_eff=6.1e+00, igsq=0.0001
Reset #42, asq_eff=5.9e+00, igsq=0.0001
Reset #43, asq_eff=5.8e+00, igsq=0.0001
Reset #44, asq_eff=5.8e+00, igsq=0.0001
Reset #45, asq_eff=5.7e+00, igsq=0.0001
Reset #46, asq_eff=5.7e+00, igsq=0.0001
Reset #47, asq_eff=5.7e+00, igsq=0.0001
Reset #48, asq_eff=5.8e+00, igsq=0.0001
Reset #49, asq_eff=5.7e+00, igsq=0.0001
Reset #50, asq_eff=5.8e+00, igsq=0.0001
Reset #51, asq_eff=5.8e+00, igsq=0.0001
Reset #52, asq_eff=5.8e+00, igsq=0.0001
Reset #53, asq_eff=5.5e+00, igsq=0.0001
Reset #54, asq_eff=5.4e+00, igsq=0.0001
Reset #55, asq_eff=5.5e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=5.39e+00, N_step=303
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Reset #1, asq_eff=1.7e+00, igsq=0.15687174265360496
Failed on igsq:  0.15687174265360496 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.57e-01 and asq=1.00e+00, N_step=109
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.95
Reset #1, asq_eff=2.5e+01, igsq=0.95
Reset #2, asq_eff=2.0e+01, igsq=0.95
Reset #3, asq_eff=1.9e+01, igsq=0.95
Reset #4, asq_eff=1.6e+01, igsq=0.95
Reset #5, asq_eff=1.6e+01, igsq=0.95
Reset #6, asq_eff=1.6e+01, igsq=0.95
Reset #7, asq_eff=1.6e+01, igsq=0.95
Reset #8, asq_eff=1.6e+01, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=1.55e+01, N_step=122
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  29
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  30
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  31
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  32
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  33
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  34
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  35

LPL []
MPL []
eq37 Before S: 73383186.1530655
eq37  S: 0.00041726387639826084
LINF: 2.4e+07
LINF full: 2.4e+07, vs: 1.0e+00
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-06
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-06
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-06
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-06
Reset #1, asq_eff=2.5e+01, igsq=1e-06
Reset #2, asq_eff=1.2e+01, igsq=1e-06
Reset #3, asq_eff=1.1e+01, igsq=1e-06
Reset #4, asq_eff=1.2e+01, igsq=1e-06
Reset #5, asq_eff=1.1e+01, igsq=1e-06
Reset #6, asq_eff=1.1e+01, igsq=1e-06
Reset #7, asq_eff=1.1e+01, igsq=1e-06
Reset #8, asq_eff=1.0e+01, igsq=1e-06
Reset #9, asq_eff=1.0e+01, igsq=1e-06
Reset #10, asq_eff=9.1e+00, igsq=1e-06
Reset #11, asq_eff=9.2e+00, igsq=1e-06
Reset #12, asq_eff=8.7e+00, igsq=1e-06
Steps remaining: 104, asq_eff=7.9e+00, igsq=1e-06
Reset #13, asq_eff=8.0e+00, igsq=1e-06
Reset #14, asq_eff=7.9e+00, igsq=1e-06
Reset #15, asq_eff=8.0e+00, igsq=1e-06
Reset #16, asq_eff=7.9e+00, igsq=1e-06
Reset #17, asq_eff=7.8e+00, igsq=1e-06
Reset #18, asq_eff=7.9e+00, igsq=1e-06
Reset #19, asq_eff=8.0e+00, igsq=1e-06
Reset #20, asq_eff=7.8e+00, igsq=1e-06
Steps remaining: 102, asq_eff=7.6e+00, igsq=1e-06
Reset #21, asq_eff=7.7e+00, igsq=1e-06
Reset #22, asq_eff=7.8e+00, igsq=1e-06
Reset #23, asq_eff=7.7e+00, igsq=1e-06
Reset #24, asq_eff=7.8e+00, igsq=1e-06
Reset #25, asq_eff=7.8e+00, igsq=1e-06
Reset #26, asq_eff=7.9e+00, igsq=1e-06
Reset #27, asq_eff=7.8e+00, igsq=1e-06
Reset #28, asq_eff=7.9e+00, igsq=1e-06
Reset #29, asq_eff=7.7e+00, igsq=1e-06
Reset #30, asq_eff=7.8e+00, igsq=1e-06
Steps remaining: 102, asq_eff=7.6e+00, igsq=1e-06
Reset #31, asq_eff=7.7e+00, igsq=1e-06
Reset #32, asq_eff=7.5e+00, igsq=1e-06
Reset #33, asq_eff=7.4e+00, igsq=1e-06
Reset #34, asq_eff=7.0e+00, igsq=1e-06
Reset #35, asq_eff=7.0e+00, igsq=1e-06
Reset #36, asq_eff=7.0e+00, igsq=1e-06
Reset #37, asq_eff=7.0e+00, igsq=1e-06
Reset #38, asq_eff=7.0e+00, igsq=1e-06
Reset #39, asq_eff=6.8e+00, igsq=1e-06
Reset #40, asq_eff=6.9e+00, igsq=1e-06
Reset #41, asq_eff=7.0e+00, igsq=1e-06
Reset #42, asq_eff=7.0e+00, igsq=1e-06
Reset #43, asq_eff=7.1e+00, igsq=1e-06
Reset #44, asq_eff=7.2e+00, igsq=1e-06
Reset #45, asq_eff=6.8e+00, igsq=1e-06
Reset #46, asq_eff=6.5e+00, igsq=1e-06
Reset #47, asq_eff=6.6e+00, igsq=1e-06
Reset #48, asq_eff=6.6e+00, igsq=1e-06
Reset #49, asq_eff=6.7e+00, igsq=1e-06
Reset #50, asq_eff=6.7e+00, igsq=1e-06
Reset #51, asq_eff=6.6e+00, igsq=1e-06
Reset #52, asq_eff=6.5e+00, igsq=1e-06
Reset #53, asq_eff=6.6e+00, igsq=1e-06
Reset #54, asq_eff=6.4e+00, igsq=1e-06
Reset #55, asq_eff=6.2e+00, igsq=1e-06
Reset #56, asq_eff=6.2e+00, igsq=1e-06
Steps remaining: 91, asq_eff=6.1e+00, igsq=1e-06
Reset #57, asq_eff=6.3e+00, igsq=1e-06
Non-optimal solve at igsq=1.00e-06 and asq=6.17e+00, N_step=303
Steps remaining: 99, asq_eff=4.2e+14, igsq=1e-05
Steps remaining: 69, asq_eff=1.6e+10, igsq=1e-05
Steps remaining: 39, asq_eff=5.8e+05, igsq=1e-05
Steps remaining: 9, asq_eff=2.1e+01, igsq=1e-05
Reset #1, asq_eff=1.8e+01, igsq=1e-05
Reset #2, asq_eff=9.9e+00, igsq=1e-05
Reset #3, asq_eff=8.7e+00, igsq=1e-05
Reset #4, asq_eff=8.9e+00, igsq=1e-05
Reset #5, asq_eff=8.8e+00, igsq=1e-05
Reset #6, asq_eff=8.8e+00, igsq=1e-05
Reset #7, asq_eff=8.7e+00, igsq=1e-05
Reset #8, asq_eff=8.8e+00, igsq=1e-05
Steps remaining: 109, asq_eff=8.6e+00, igsq=1e-05
Reset #9, asq_eff=8.3e+00, igsq=1e-05
Reset #10, asq_eff=8.4e+00, igsq=1e-05
Reset #11, asq_eff=8.3e+00, igsq=1e-05
Reset #12, asq_eff=8.1e+00, igsq=1e-05
Reset #13, asq_eff=8.2e+00, igsq=1e-05
Reset #14, asq_eff=8.2e+00, igsq=1e-05
Reset #15, asq_eff=8.3e+00, igsq=1e-05
Reset #16, asq_eff=8.2e+00, igsq=1e-05
Reset #17, asq_eff=8.3e+00, igsq=1e-05
Reset #18, asq_eff=8.4e+00, igsq=1e-05
Non-optimal solve at igsq=1.00e-05 and asq=8.41e+00, N_step=154
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.0001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.0001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.0001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.0001
Reset #1, asq_eff=9.1e+00, igsq=0.0001
Reset #2, asq_eff=5.0e+00, igsq=0.0001
Reset #3, asq_eff=5.2e+00, igsq=0.0001
Non-optimal solve at igsq=1.00e-04 and asq=5.25e+00, N_step=108
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.001
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.001
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.001
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.001
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.01
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.01
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.01
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.01
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Reset #1, asq_eff=1.7e+00, igsq=0.1
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.00e-01 and asq=1.00e+00, N_step=109
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.1
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.1
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.1
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.1
Reset #1, asq_eff=1.7e+00, igsq=0.1
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.1 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=1.00e-01 and asq=1.00e+00, N_step=109
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.15687174265360496
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.15687174265360496
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.15687174265360496
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.15687174265360496
Non-optimal solve at igsq=1.57e-01 and asq=1.00e+00, N_step=105
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.24608743643178863
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.24608743643178863
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.24608743643178863
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.24608743643178863
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.24608743643178863 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=2.46e-01 and asq=1.00e+00, N_step=105
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.38604164998212914
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.38604164998212914
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.38604164998212914
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.38604164998212914
Reset #1, asq_eff=2.3e+00, igsq=0.38604164998212914
Reset #2, asq_eff=2.1e+00, igsq=0.38604164998212914
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.38604164998212914 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=3.86e-01 and asq=2.15e+00, N_step=107
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.605590263695696
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.605590263695696
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.605590263695696
Steps remaining: 9, asq_eff=2.1e+01, igsq=0.605590263695696
Reset #1, asq_eff=1.7e+00, igsq=0.605590263695696
Steps remaining: 99, asq_eff=4.2e+14, igsq=0.95
Steps remaining: 69, asq_eff=1.6e+10, igsq=0.95
Steps remaining: 39, asq_eff=5.8e+05, igsq=0.95
Reset #1, asq_eff=5.4e+02, igsq=0.95
Steps remaining: 30, asq_eff=1.6e+02, igsq=0.95
Reset #2, asq_eff=2.1e+02, igsq=0.95
Reset #3, asq_eff=2.0e+02, igsq=0.95
Reset #4, asq_eff=1.9e+02, igsq=0.95
Reset #5, asq_eff=1.8e+02, igsq=0.95
Reset #6, asq_eff=1.7e+02, igsq=0.95
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Failed on igsq:  0.95 Reordering of (A, B) failed because the transformed matrix pair (A, B) would be too far from generalized Schur form; the problem is very ill-conditioned. (A, B) may have been partially reordered.
Non-optimal solve at igsq=9.50e-01 and asq=1.72e+02, N_step=114
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  36
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  37
The given state space system is a descriptor system with an E matrix. This is not supported
K_usable is not stable
Results list length:  38
Captured stderr call

  0%|          | 0/5 [00:00<?, ?it/s]
 20%|██        | 1/5 [07:50<31:22, 470.63s/it]
 40%|████      | 2/5 [15:49<23:46, 475.66s/it]
 60%|██████    | 3/5 [25:16<17:14, 517.07s/it]
 80%|████████  | 4/5 [35:58<09:26, 566.60s/it]
100%|██████████| 5/5 [44:54<00:00, 555.48s/it]
100%|██████████| 5/5 [44:54<00:00, 538.89s/it]
captured errors:
folder = 'ExampleModels'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_calc_HiB(folder):
        sysB = get_systemB(folder = folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if folder == 'ExampleModels_newFOM_F3':
            FOM_out = ["F3.out", "F2.out"]
        else:
            FOM_out = ["FBNS.out", "F2.out"]
        wn_in = ["S.in", "O.in"]
        Zinf = ["Zinf.in"]
        control_in = ["U.in"]
        meas_out = ["T.out"]

        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[0], FBNS_scale)
        sysB.sys = ssutil.scale_io(sysB.sys, FOM_out[1], FFlat_scale)

        # Scale the DARM output
        if 'DARM.out' in sysB.sys.outputs.keys():
            print('scaling DARM')
            DARM_scale_factor = strain2m * SNR_intg_factor
            sysB.sys = ssutil.scale_io(sysB.sys, 'DARM.out', DARM_scale_factor)

        params = {}
        if folder == 'ExampleModels':
            params['F1_gain'] = np.geomspace(1e1, 1e5, 5) * 1/FBNS_scale # was 1e1 3e3
        elif folder == 'ExampleModels_newFOM_F3':
            params['F1_gain'] = np.geomspace(1e-6, 1e-3, 5) * 1/FBNS_scale
        else:
            params["F1_gain"] = np.geomspace(4e1, 1e5, 6) * 1/FBNS_scale
            #params["F1_gain"] = np.array([0.09146101038546522])

        # params["igsq_capture"] = [
        #     0,  # H2 constraint
        #     1.8e-2,  # 1 deg
        #     1e-1,  # 6 deg
        #     0.20,  # 11.5 deg
        #     0.3,  # 17 deg
        #     0.5,  # 30 deg
        #     0.7653668647301797,  # 45 deg
        #     0.85,  # 50.0 deg
        #     0.90,  # 53.5 deg
        #     0.95,  # 56.5 deg
        #     # above this it gets very hairy
        #     # these are 10 solutions
        # ]

        # params["igsq_capture"] = np.geomspace(1e-6, 0.99, 40)
        params["igsq_capture"] = np.concatenate([np.geomspace(1e-6, 0.1, 6), np.geomspace(.1, 0.95, 6)])

        plotting_omega = np.logspace(-3, 4, 1000) * 2 * np.pi
        results_Hib_bare = compute.calcOpt(
            sysB.sys,
            control_in,
            wn_in,
            meas_out,
            FOM_out,
            params,
            Zinf=Zinf,
            solver="HB",
            plant_orig=sysB.orig_plant,
            BH_solver = BH1solverset,
            debug_mode=True,
        )

>       current_range = np.loadtxt(fjoin(folder, 'FBNS_Current_range.txt')) # Saved by the normalization in the make function

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:399: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:1373: in loadtxt
    arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
/opt/conda/lib/python3.12/site-packages/numpy/lib/npyio.py:992: in _read
    fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:193: in open
    return ds.open(path, mode, encoding=encoding, newline=newline)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <numpy.DataSource object at 0x7f8cc688b230>
path = '/builds/buzz/test/ASC_SOLVER/ExampleModels/FBNS_Current_range.txt'
mode = 'rt', encoding = None, newline = None

    def open(self, path, mode='r', encoding=None, newline=None):
        """
        Open and return file-like object.

        If `path` is an URL, it will be downloaded, stored in the
        `DataSource` directory and opened from there.

        Parameters
        ----------
        path : str
            Local file path or URL to open.
        mode : {'r', 'w', 'a'}, optional
            Mode to open `path`.  Mode 'r' for reading, 'w' for writing,
            'a' to append. Available modes depend on the type of object
            specified by `path`. Default is 'r'.
        encoding : {None, str}, optional
            Open text file with given encoding. The default encoding will be
            what `io.open` uses.
        newline : {None, str}, optional
            Newline to use when reading text file.

        Returns
        -------
        out : file object
            File object.

        """

        # TODO: There is no support for opening a file for writing which
        #       doesn't exist yet (creating a file).  Should there be?

        # TODO: Add a ``subdir`` parameter for specifying the subdirectory
        #       used to store URLs in self._destpath.

        if self._isurl(path) and self._iswritemode(mode):
            raise ValueError("URLs are not writeable")

        # NOTE: _findfile will fail on a new file opened for writing.
        found = self._findfile(path)
        if found:
            _fname, ext = self._splitzipext(found)
            if ext == 'bz2':
                mode.replace("+", "")
            return _file_openers[ext](found, mode=mode,
                                      encoding=encoding, newline=newline)
        else:
>           raise FileNotFoundError(f"{path} not found.")
E           FileNotFoundError: /builds/buzz/test/ASC_SOLVER/ExampleModels/FBNS_Current_range.txt not found.

/opt/conda/lib/python3.12/site-packages/numpy/lib/_datasource.py:533: FileNotFoundError
T_plot_H2(folder, dfile=None)[source]

Test that runs the plotting code for H2. This test can be run from another test

code
docstring
"""
Test that runs the plotting code for H2. This test can be run from another test
"""
  1@pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
  2def T_plot_H2(folder, dfile = None):
  3
  4
  5    if folder is None:
  6        folder = "ExampleModels"
  7
  8    sysB = get_systemB(folder=folder)
  9    FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function
 10
 11    if dfile is None:
 12        ofile = "results_H2_ADY.pkl"
 13        dfile = fjoin(folder, ofile)
 14    print('dfile: ', dfile)
 15    H2_results = buzzutil.load_results(dfile)
 16
 17    print('len H2_results: ', len(H2_results))
 18
 19    # add a gamma value to the results for plotting
 20    for point in H2_results:
 21        if point["gamma"] == None:
 22            point["gamma"] = np.inf
 23
 24    # Remove the labels from the results
 25    for datadict in H2_results:
 26        datadict["label1"] = None
 27        datadict["label2"] = None
 28
 29    # Adding the current controller to the plot
 30    module_gain = -40 # this is the gain of the filter module
 31    filter_list = np.array([1, 3, 4, 5, 6]) # this is a list of the filters in the module that are on
 32
 33    zpksys, filtinfo = readFilter.readFilterSys_Scipy(
 34        fjoin("H1ASC.txt"), "ASC_DHARD_Y", np.array(filter_list)
 35    )
 36
 37    z, p, k = FilteringUtils.d2c(
 38        (zpksys.zeros, zpksys.poles, zpksys.gain), fs=1 / zpksys.dt
 39    )
 40
 41    k = k.real * module_gain
 42    K_mod = SISO.zpk(z, p, k, angular=True, fiducial_rtol=1e-5, fiducial_atol=1e-10).asSS
 43    K_iod = {"C.in": 0, "C.out": 0}
 44    K = wieldSS(K_mod, K_iod)
 45
 46    axB = ssutil.bode(ssutil.asSISO(K)*sysB.orig_plant.siso("P.out", "P.in"), label="K_hand * orig_plant Controller")
 47    axC = ssutil.bode(K, label="K_hand")
 48
 49    K = (ssutil.asSISO(K) * sysB.sys["S.out", "SA.in"]).mimo(
 50        "C.out", "C.in"
 51    ) # Add in the part of P that was moved to env. noise block
 52    K = ssutil.balance_sys_gain(K)
 53
 54    axB = ssutil.bode(-1*ssutil.asSISO(K)*H2_results[0]['plant'].siso("P.out", "P.in"), axB =axB, label="K_hand * S_anex * P")
 55    axB = ssutil.bode(H2_results[1]['K'].siso("C.out", "C.in")*H2_results[1]['plant'].siso("P.out", "P.in"), axB =axB, label="K_H2[-15] * P")
 56    axB.save(tjoin("bode_KP.pdf"))
 57    axB.save(tjoin("bode_KP.png"))
 58
 59    axC = ssutil.bode(H2_results[1]['K_usable'], axB =axC, label="K_useable")
 60    axB = ssutil.bode(ssutil.asSISO(H2_results[1]['K'])*sysB.sys.siso("S.out", "SA.in")**(-1), axB =axC, label="K / S_anex")
 61    axC.save(tjoin("bode_K.pdf"))
 62    axC.save(tjoin("bode_K.png"))
 63
 64
 65    curdict = H2_results[0].copy()
 66    curdict["Ac"] = K.A
 67    curdict["Bc"] = K.B
 68    curdict["Cc"] = K.C
 69    curdict["Dc"] = K.D
 70    curdict["K"] = K
 71    curdict["label"] = "Hand Tuned Controller"
 72
 73    extraplots = compute.calcFullResults(
 74        [curdict], 
 75        color="dimgrey", 
 76        label="Hand Tuned Controller", 
 77        plot_omega=curdict["plot_omega"],
 78    )
 79    extraplots[0]["F1_gain"] = sum(buzzutil.listparams(H2_results, "F1_gain"))
 80    extraplots[0]["linecolor"] = "Black"  #'DodgerBlue'
 81    extraplots[0]["linestyle"] = "--"
 82    extraplots[0]["solver"] = "Hand Tuned"
 83    extraplots[0]["rms_marker"] = "^"
 84
 85    f_Hz_range = extraplots[0]['FOM1_wn_ASD_Hz']
 86    budget_range = gwinc.load_budget('aLIGO', freq=f_Hz_range)
 87    trace_range = budget_range.run(freq=f_Hz_range)
 88
 89    plt.loglog(f_Hz_range, extraplots[0]['FOM1_wn_ASD']*4000, label='white noise to darm out with hand tuned controller')
 90    plt.loglog(f_Hz_range, trace_range.psd**0.5*4000, label='aLIGO')
 91    plt.legend()
 92    plt.xlabel('Frequency [Hz]')
 93    plt.ylabel('ASD [m/rtHz]')
 94    plt.xlim([6, 6e2])
 95    plt.ylim([4e-21, 3e-17])
 96    plt.savefig(tjoin('DARM_spec.png'), bbox_inches='tight')
 97    plt.savefig(tjoin('DARM_spec.pdf'), bbox_inches='tight')
 98    plt.close()
 99
100    H2_results_E = H2_results + extraplots
101
102    every_nth = 1  # removes every nth element
103    H2_results_E_short = H2_results[every_nth - 1 :: every_nth] + extraplots
104
105    setname_H2 = "ADY_H2"
106    fig_rms_H2 = plotting.plotRMS(
107        H2_results_E_short,
108        setname=setname_H2,
109        outlineparam="pm",
110        text="pm",
111        f1line=False,
112        h2line=False,
113        plotrange=True,
114        test=True,
115    )
116    fig_rms_H2[0].savefig(tjoin("rms_H2.pdf"), bbox_inches="tight")
117    fig_rms_H2[0].savefig(tjoin("rms_H2.png"), bbox_inches="tight")
118
119    fig_rms_H2_range_PSD = plotting.plotRMS(
120        H2_results_E_short,
121        setname=setname_H2,
122        outlineparam="pm",
123        text="pm",
124        f1line=False,
125        h2line=False,
126        plotrange='PSD',
127        test=True,
128    )
129    fig_rms_H2_range_PSD[0].savefig(tjoin("rms_H2_range_PSD.pdf"), bbox_inches="tight")
130    fig_rms_H2_range_PSD[0].savefig(tjoin("rms_H2_range_PSD.png"), bbox_inches="tight")
131
132    ylim = [1e-4, 1e8]
133    fig_ol_H2, ax = plotting.plotLoop(H2_results_E_short, "OL", setname=setname_H2, ylim=ylim, UG_line=True, test=True)
134    fig_ol_H2.savefig(tjoin("ol_H2.pdf"), bbox_inches="tight")
135    fig_ol_H2.savefig(tjoin("ol_H2.png"), bbox_inches="tight")
136    fig_cl_H2, ax = plotting.plotLoop(H2_results_E_short, "CL", setname=setname_H2, UG_line=True, test=True)
137    fig_cl_H2.savefig(tjoin("cl_H2.pdf"), bbox_inches="tight")
138    fig_cl_H2.savefig(tjoin("cl_H2.png"), bbox_inches="tight")
139    noise_plot_fig, noise_plot_axs = plotting.plot_CLnoises(H2_results_E_short[0], test=True)
140    noise_plot_fig.savefig(tjoin("noise_H2.pdf"), bbox_inches="tight")
141    noise_plot_fig.savefig(tjoin("noise_H2.png"), bbox_inches="tight")
142
143    fig_darm_H2, ax = plotting.plotDARM(H2_results_E_short, setname=setname_H2, test=True)
144    fig_darm_H2.savefig(tjoin("All_DARM_Spec.pdf"), bbox_inches="tight")
145    fig_darm_H2.savefig(tjoin("All_DARM_Spec.png"), bbox_inches="tight")
146
147    # setname_vega = 'ASC_vega'
148    # vega_chart = plotting.vega_plot(H2_results_E, setname=setname_vega, h2line=False, size=500, plotrange=True, test=True)
149    # vega_chart.save(tjoin("vega_results_plot.html"))
150
151    if 'FBNS.DARM.out' in extraplots[0]['CL_all_io'].iod:
152        DARM_out_name = 'FBNS.DARM.out'
153        darm_in_mod = True
154    elif 'F3.DARM.out' in extraplots[0]['CL_all_io'].iod:
155        DARM_out_name = 'F3.DARM.out'
156        darm_in_mod = True
157    else:
158        DARM_out_name = None
159
160    if DARM_out_name:
161        DARM_plot_omega = np.logspace(-2, 3, 1000) * 2 * np.pi
162        DARM_noise_plot_fig, DARM_noise_plot_axs = plotting.plot_CLnoises(extraplots[0], extra_fom=DARM_out_name, extra_only=True, plot_omega=DARM_plot_omega, test=True)
163        DARM_noise_plot_fig.savefig(tjoin("DARM_noise_H2.pdf"), bbox_inches="tight")
164        DARM_noise_plot_fig.savefig(tjoin("DARM_noise_H2.png"), bbox_inches="tight")
165    else:
166        print('DARM not in outputs. Not plotting DARM noise')
167        print(extraplots[0]['CL_all_io'].outputs)
pytest information

This code is wrapped in a pytest function using conventions detailed in pytest_conventions. The full name of this test, as known by the documentation, is:

test.ASC_SOLVER.test_solver_ADY.T_plot_H2

The full name is useful when building documentation, to link a reference to this page using :func:`name`, or directly include it with an autofunction directive. The collapse nodes below show every instance of the test run. There may only be one, but if the test was run multiple times through pytest parametrizations, the list can be longer.

T_plot_H2[ExampleModels]
output
dfile:  /builds/buzz/test/ASC_SOLVER/ExampleModels/results_H2_ADY.pkl
captured errors:
folder = 'ExampleModels'
dfile = '/builds/buzz/test/ASC_SOLVER/ExampleModels/results_H2_ADY.pkl'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_plot_H2(folder, dfile = None):
        """
        Test that runs the plotting code for H2. This test can be run from another test
        """

        if folder is None:
            folder = "ExampleModels"

        sysB = get_systemB(folder=folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if dfile is None:
            ofile = "results_H2_ADY.pkl"
            dfile = fjoin(folder, ofile)
        print('dfile: ', dfile)
>       H2_results = buzzutil.load_results(dfile)

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

filename = '/builds/buzz/test/ASC_SOLVER/ExampleModels/results_H2_ADY.pkl'

    def load_results(filename):
        """Loads the results from a pickle file

        Args:
            filename (str): filename to load the results from

        Returns:
            list: list of results dictionaries
        """
>       with open(filename, 'rb') as f:
E       FileNotFoundError: [Errno 2] No such file or directory: '/builds/buzz/test/ASC_SOLVER/ExampleModels/results_H2_ADY.pkl'

/builds/buzz/src/buzz/buzzutil.py:230: FileNotFoundError
T_plot_H2[ExampleModels_rescale]
output
dfile:  /builds/buzz/test/ASC_SOLVER/ExampleModels_rescale/results_H2_ADY.pkl
captured errors:
folder = 'ExampleModels_rescale'
dfile = '/builds/buzz/test/ASC_SOLVER/ExampleModels_rescale/results_H2_ADY.pkl'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_plot_H2(folder, dfile = None):
        """
        Test that runs the plotting code for H2. This test can be run from another test
        """

        if folder is None:
            folder = "ExampleModels"

        sysB = get_systemB(folder=folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if dfile is None:
            ofile = "results_H2_ADY.pkl"
            dfile = fjoin(folder, ofile)
        print('dfile: ', dfile)
>       H2_results = buzzutil.load_results(dfile)

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

filename = '/builds/buzz/test/ASC_SOLVER/ExampleModels_rescale/results_H2_ADY.pkl'

    def load_results(filename):
        """Loads the results from a pickle file

        Args:
            filename (str): filename to load the results from

        Returns:
            list: list of results dictionaries
        """
>       with open(filename, 'rb') as f:
E       FileNotFoundError: [Errno 2] No such file or directory: '/builds/buzz/test/ASC_SOLVER/ExampleModels_rescale/results_H2_ADY.pkl'

/builds/buzz/src/buzz/buzzutil.py:230: FileNotFoundError
T_plot_H2[ExampleModels_newFOM_F3]
output
dfile:  /builds/buzz/test/ASC_SOLVER/ExampleModels_newFOM_F3/results_H2_ADY.pkl
len H2_results:  30
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>

Range from PSD:  0.00010882835455095848
RMS:  4.793962449667171e-08 0.00077685135108067
RMS:  2.1391591241714643e-21 1.6406410649962868e-10
Captured stderr call

  0%|          | 0/1 [00:00<?, ?it/s]
100%|██████████| 1/1 [00:01<00:00,  1.89s/it]
100%|██████████| 1/1 [00:01<00:00,  1.89s/it]
T_plot_H2[ExampleModels_newFOM]
output
dfile:  /builds/buzz/test/ASC_SOLVER/ExampleModels_newFOM/results_H2_ADY.pkl
len H2_results:  15
<IPython.core.display.Markdown object>
<IPython.core.display.Markdown object>

Range from PSD:  182.9457750975944
RMS:  5.315563400953407e-07 0.0026116026648801863
RMS:  2.3375103409979522e-34 5.427539544263282e-17
Captured stderr call

  0%|          | 0/1 [00:00<?, ?it/s]
100%|██████████| 1/1 [00:01<00:00,  1.46s/it]
100%|██████████| 1/1 [00:01<00:00,  1.46s/it]
T_plot_H2[ExampleModels_working]
output
dfile:  /builds/buzz/test/ASC_SOLVER/ExampleModels_working/results_H2_ADY.pkl
captured errors:
folder = 'ExampleModels_working'
dfile = '/builds/buzz/test/ASC_SOLVER/ExampleModels_working/results_H2_ADY.pkl'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_plot_H2(folder, dfile = None):
        """
        Test that runs the plotting code for H2. This test can be run from another test
        """

        if folder is None:
            folder = "ExampleModels"

        sysB = get_systemB(folder=folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function

        if dfile is None:
            ofile = "results_H2_ADY.pkl"
            dfile = fjoin(folder, ofile)
        print('dfile: ', dfile)
>       H2_results = buzzutil.load_results(dfile)

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

filename = '/builds/buzz/test/ASC_SOLVER/ExampleModels_working/results_H2_ADY.pkl'

    def load_results(filename):
        """Loads the results from a pickle file

        Args:
            filename (str): filename to load the results from

        Returns:
            list: list of results dictionaries
        """
>       with open(filename, 'rb') as f:
E       FileNotFoundError: [Errno 2] No such file or directory: '/builds/buzz/test/ASC_SOLVER/ExampleModels_working/results_H2_ADY.pkl'

/builds/buzz/src/buzz/buzzutil.py:230: FileNotFoundError
T_plot_HiB(folder, dfile=None)[source]

This is a pytest needing documentation

code
docstring
"""HinfBounded_results_E = HinfBounded_results + extraplots
H2_results_E = H2_results + extraplots
every_nth = 2 # removes every nth element
H2_results_E_short = H2_results[every_nth-1::every_nth]+ extraplots"""
  1@pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
  2def T_plot_HiB(folder, dfile = None):
  3    if folder is None:
  4        folder = "ExampleModels"
  5
  6    sysB = get_systemB(folder=folder)
  7    FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function
  8
  9
 10
 11    H2_results = buzzutil.load_results(fjoin(folder, "results_H2_ADY.pkl"))
 12    print('save fldr: ', fjoin(folder, "results_H2_ADY.pkl"))
 13
 14    if dfile is None:
 15        ofile = "results_Hib_ADY.pkl"
 16        dfile = fjoin(folder, ofile)
 17    results_Hib = buzzutil.load_results(dfile)
 18
 19
 20    # print('Gamma:', buzzutil.listparams(HinfBounded_results, 'gamma'))
 21    # print('igsq:', np.unique(buzzutil.listparams(HinfBounded_results, 'igsq')))
 22    # print('F1_gain', np.unique(buzzutil.listparams(HinfBounded_results, 'F1_gain')))
 23    # print('F1_gain', buzzutil.listparams(HinfBounded_results, 'F1_gain'))
 24
 25    HinfBounded_results = results_Hib
 26    # H2_results = results_H2
 27
 28    # f1_gains = np.unique(buzzutil.listparams(HinfBounded_results, 'F1_gain'))
 29
 30    # HinfBounded_results =  buzzutil.filtparam(HinfBounded_results, "F1_gain", f1_gains[3], compare="eq")
 31
 32    for point in HinfBounded_results:
 33        if point["gamma"] == None:
 34            point["gamma"] = np.inf
 35
 36    # Remove labels
 37    for datadict in HinfBounded_results:
 38        datadict["label1"] = None
 39        datadict["label2"] = None
 40
 41    # Adding the current controller to the plot
 42    module_gain = -40 # this is the gain of the filter module
 43    filter_list = np.array([1, 3, 4, 5, 6]) # this is a list of the filters in the module that are on
 44
 45    zpksys, filtinfo = readFilter.readFilterSys_Scipy(
 46        fjoin("H1ASC.txt"), "ASC_DHARD_Y", np.array(filter_list)
 47    )
 48
 49    z, p, k = FilteringUtils.d2c(
 50        (zpksys.zeros, zpksys.poles, zpksys.gain), fs=1 / zpksys.dt
 51    )
 52
 53    k = k.real * module_gain
 54    K_mod = SISO.zpk(z, p, k, angular=True, fiducial_rtol=1e-5, fiducial_atol=1e-10).asSS
 55    K_iod = {"C.in": 0, "C.out": 0}
 56    K = wieldSS(K_mod, K_iod)
 57    K = (K.siso("C.out", "C.in") * sysB.sys["S.out", "SA.in"]).mimo(
 58        "C.out", "C.in"
 59    ) # Add in the part of P that was moved to env. noise block
 60    K = ssutil.balance_sys_gain(K)
 61
 62    curdict = HinfBounded_results[0].copy()
 63    curdict["Ac"] = K.A
 64    curdict["Bc"] = K.B
 65    curdict["Cc"] = K.C
 66    curdict["Dc"] = K.D
 67    curdict["K"] = K
 68    curdict["label"] = "Hand Tuned Controller"
 69
 70    extraplots = compute.calcFullResults(
 71        [curdict], color="dimgrey", 
 72        label="Hand Tuned Controller", 
 73        plot_omega=curdict["plot_omega"],
 74    )
 75    extraplots[0]["F1_gain"] = sum(buzzutil.listparams(HinfBounded_results, "F1_gain"))
 76    extraplots[0]["linecolor"] = "DodgerBlue"
 77    extraplots[0]["linestyle"] = "--"
 78    extraplots[0]["solver"] = "Hand Tuned"
 79    extraplots[0]["rms_marker"] = "^"
 80
 81    HinfBounded_results_E = HinfBounded_results + extraplots
 82    H2_results_E = H2_results + extraplots
 83
 84    every_nth = 2  # removes every nth element
 85    H2_results_E_short = H2_results[every_nth - 1 :: every_nth] + extraplots
 86
 87
 88    xlim= [0.2, 0.5]
 89    ylim = [3e-14, 9e-14]
 90    # Adding the current controller to the plot
 91    setname_Hib = "ADY_Hib"
 92
 93    if len(HinfBounded_results_E + H2_results)>100:
 94        plot_text=False
 95    else:
 96        plot_text='pm'
 97
 98    print('Plotting RMS Plot')
 99    fig_rms_Hib = plotting.plotRMS(
100        HinfBounded_results_E + H2_results,
101        setname=setname_Hib,
102        outlineparam='pm',
103        text=plot_text,
104        f1line=True,
105        h2line=True,
106        plotrange=False,
107        #xlim=xlim,
108        #ylim=ylim
109        test=True,
110    )
111
112    fig_rms_Hib[0].savefig(tjoin("rms_HiB.pdf"), bbox_inches="tight")
113    fig_rms_Hib[0].savefig(tjoin("rms_HiB.png"), bbox_inches="tight")
114
115    print('Plotting RMS Plot with lost range')
116    fig_rms_lost_range_Hib = plotting.plotRMS(
117        HinfBounded_results_E + H2_results,
118        setname=setname_Hib,
119        outlineparam='pm',
120        text=plot_text,
121        f1line=True,
122        h2line=True,
123        plotrange='diff',
124        test=True,
125        #xlim=xlim,
126        #ylim=ylim
127    )
128
129    fig_rms_lost_range_Hib[0].savefig(tjoin("rms_HiB_lost_range.pdf"), bbox_inches="tight")
130    fig_rms_lost_range_Hib[0].savefig(tjoin("rms_HiB_lost_range.png"), bbox_inches="tight")
131
132
133    f1gains_Hib = np.unique(buzzutil.listparams(HinfBounded_results, "F1_gain"))
134    try:
135        HinfBounded_results_single_f1gain = buzzutil.filtparam(HinfBounded_results, "F1_gain", f1gains_Hib[-4], compare="eq")
136    except:
137        HinfBounded_results_single_f1gain = buzzutil.filtparam(HinfBounded_results, "F1_gain", f1gains_Hib[0], compare="eq")
138    HinfBounded_results_single_f1gain = (
139        compute.calcFullResults(
140            HinfBounded_results_single_f1gain,
141            colormap="RdYlGn",
142            plot_omega=HinfBounded_results[0]["plot_omega"],
143            color_param="igsq",
144            label=False,
145        )
146        + extraplots
147    )
148
149    print('Plotting RMS Plot With Range')
150    fig_rms_range_Hib = plotting.plotRMS(
151        HinfBounded_results + H2_results,
152        setname=setname_Hib,
153        outlineparam='pm',
154        text=plot_text,
155        f1line=True,
156        h2line=True,
157        plotrange=True,
158        test=True,
159        #xlim=xlim,
160        #ylim=ylim
161    )
162
163    fig_rms_range_Hib[0].savefig(tjoin("rms_HiB_range.pdf"), bbox_inches="tight")
164    fig_rms_range_Hib[0].savefig(tjoin("rms_HiB_range.png"), bbox_inches="tight")
165
166    xlim_PSD=[4.725, 4.805]
167    print('Plotting RMS Plot With Range from PSD')
168    fig_rms_range_PSD_Hib = plotting.plotRMS(
169        HinfBounded_results + H2_results,
170        setname=setname_Hib,
171        outlineparam='pm',
172        text=plot_text,
173        f1line=True,
174        h2line=True,
175        plotrange='PSD',
176        xlim=xlim_PSD,
177        test=True,
178        #ylim=ylim
179    )
180
181    fig_rms_range_PSD_Hib[0].savefig(tjoin("rms_HiB_range_from_PSD.pdf"), bbox_inches="tight")
182    fig_rms_range_PSD_Hib[0].savefig(tjoin("rms_HiB_range_from_PSD.png"), bbox_inches="tight")
183
184    print('Plotting Heatmap')
185    fig_rmsheatmap = plotting.plotHeatmap(HinfBounded_results + H2_results, test=True)
186    fig_rmsheatmap[0].savefig(tjoin("heatmap.pdf"), bbox_inches="tight")
187    fig_rmsheatmap[0].savefig(tjoin("heatmap.png"), bbox_inches="tight")
188
189    print('Plotting RMS Plot with Heatmap')
190    fig_rmsheatmap_Hib = plotting.plotRMS(
191        HinfBounded_results_E + H2_results,
192        setname=setname_Hib,
193        outlineparam='pm',
194        text=False,
195        f1line=True,
196        h2line=True,
197        plotrange=True,
198        heatmap=True,
199        test=True,
200    )
201
202    fig_rmsheatmap_Hib[0].savefig(tjoin("rms_heatmap_HiB.pdf"), bbox_inches="tight")
203    fig_rmsheatmap_Hib[0].savefig(tjoin("rms_heatmap_HiB.png"), bbox_inches="tight")
204
205    print('Plotting RMS Range Plot single result')
206    fig_single_Hib = plotting.plotRMS(
207        HinfBounded_results_single_f1gain + H2_results,
208        setname=setname_Hib,
209        outlineparam='pm',
210        text=False,
211        f1line=True,
212        h2line=True,
213        plotrange=True,
214        heatmap=False,
215        test=True,
216    )
217
218    fig_single_Hib[0].savefig(tjoin("rms_HiB_singlef1gain_range.pdf"), bbox_inches="tight")
219    fig_single_Hib[0].savefig(tjoin("rms_HiB_singlef1gain_range.png"), bbox_inches="tight")
220
221
222
223
224    print('Plotting Open Loop')
225    ylim = [3e-4, 1e5]
226    fig_ol_Hib, ax_ol_Hib = plotting.plotLoop(
227        HinfBounded_results_single_f1gain, "OL", setname=setname_Hib, ylim=ylim, UG_line=True
228    )
229    fig_ol_Hib.savefig(tjoin("ol_HiB.pdf"), bbox_inches="tight")
230    fig_ol_Hib.savefig(tjoin("ol_HiB.png"), bbox_inches="tight")
231
232    print('Plotting Closed Loop')
233    xlim = [1e-1, 1e4]
234    fig_cl_Hib, ax_cl_Hib = plotting.plotLoop(
235        HinfBounded_results_single_f1gain, "CL", setname=setname_Hib, UG_line=True, xlim=xlim
236    )
237    fig_cl_Hib.savefig(tjoin("cl_HiB.pdf"), bbox_inches="tight")
238    fig_cl_Hib.savefig(tjoin("cl_HiB.png"), bbox_inches="tight")
239
240    print('Plotting gm pm plot')
241    ylim = None  # [0, 12]
242    plt.clf()
243    fig_gm_pm, ax_gm_pm = plotting.plot_gm_pm(
244        HinfBounded_results_E, setname="", f1line=True, text=None, ylim=[0.5,2.5], xlim=[2.5,20]
245    )
246    fig_gm_pm.savefig(tjoin("gm_HiB.pdf"), bbox_inches="tight")
247    fig_gm_pm.savefig(tjoin("gm_HiB.png"), bbox_inches="tight")
248
249    # print('Plotting vegaplot')
250    # setname_vega = 'ASC_vega'
251    # vega_chart = plotting.vega_plot(HinfBounded_results_E + H2_results, setname=setname_vega, h2line=False, size=500, plotrange=False)
252    # vega_chart.save(tjoin("vega_results_plot.html"))
253
254    DARM_out_name = 'DARM.out'
255    if DARM_out_name in extraplots[0]['CL_all_io'].outputs.keys():
256        print('Plotting DARM noise')
257        DARM_plot_omega = np.logspace(-2, 3, 1000) * 2 * np.pi
258        DARM_noise_plot_fig, DARM_noise_plot_axs = plotting.plot_CLnoises(extraplots[0], extra_fom=DARM_out_name, extra_only=True, plot_omega=DARM_plot_omega, test=True)
259        DARM_noise_plot_fig.savefig(tjoin("DARM_noise_H2.pdf"), bbox_inches="tight")
260        DARM_noise_plot_fig.savefig(tjoin("DARM_noise_H2.png"), bbox_inches="tight")
pytest information

This code is wrapped in a pytest function using conventions detailed in pytest_conventions. The full name of this test, as known by the documentation, is:

test.ASC_SOLVER.test_solver_ADY.T_plot_HiB

The full name is useful when building documentation, to link a reference to this page using :func:`name`, or directly include it with an autofunction directive. The collapse nodes below show every instance of the test run. There may only be one, but if the test was run multiple times through pytest parametrizations, the list can be longer.

T_plot_HiB[ExampleModels]
output
status: failed
duration: 0.032s
captured errors:
folder = 'ExampleModels', dfile = None

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_plot_HiB(folder, dfile = None):
        if folder is None:
            folder = "ExampleModels"

        sysB = get_systemB(folder=folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function



>       H2_results = buzzutil.load_results(fjoin(folder, "results_H2_ADY.pkl"))

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:442: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

filename = '/builds/buzz/test/ASC_SOLVER/ExampleModels/results_H2_ADY.pkl'

    def load_results(filename):
        """Loads the results from a pickle file

        Args:
            filename (str): filename to load the results from

        Returns:
            list: list of results dictionaries
        """
>       with open(filename, 'rb') as f:
E       FileNotFoundError: [Errno 2] No such file or directory: '/builds/buzz/test/ASC_SOLVER/ExampleModels/results_H2_ADY.pkl'

/builds/buzz/src/buzz/buzzutil.py:230: FileNotFoundError
T_plot_HiB[ExampleModels_newFOM_F3]
output
save fldr:  /builds/buzz/test/ASC_SOLVER/ExampleModels_newFOM_F3/results_H2_ADY.pkl

Range from PSD:  0.00010882835455095848
Plotting RMS Plot
Plotting RMS Plot with lost range

Range from PSD:  3.1237776313082014e-05

Range from PSD:  3.123883403289328e-05

Range from PSD:  3.1236654617432435e-05

Range from PSD:  3.121397933618369e-05

Range from PSD:  3.101634635877082e-05

Range from PSD:  2.8980359528116873e-05

Range from PSD:  2.8980359528116873e-05

Range from PSD:  2.7633122002030546e-05

Range from PSD:  2.5436779056177237e-05

Range from PSD:  2.177221447326848e-05

Range from PSD:  1.5568952385701933e-05

Range from PSD:  1.9363890651421925e-05
Plotting RMS Plot With Range
Plotting RMS Plot With Range from PSD
Plotting Heatmap
Plotting RMS Plot with Heatmap
Captured stderr call

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captured errors:
folder = 'ExampleModels_newFOM_F3'
dfile = '/builds/buzz/test/ASC_SOLVER/ExampleModels_newFOM_F3/results_Hib_ADY.pkl'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_plot_HiB(folder, dfile = None):
        if folder is None:
            folder = "ExampleModels"

        sysB = get_systemB(folder=folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function



        H2_results = buzzutil.load_results(fjoin(folder, "results_H2_ADY.pkl"))
        print('save fldr: ', fjoin(folder, "results_H2_ADY.pkl"))

        if dfile is None:
            ofile = "results_Hib_ADY.pkl"
            dfile = fjoin(folder, ofile)
        results_Hib = buzzutil.load_results(dfile)


        # print('Gamma:', buzzutil.listparams(HinfBounded_results, 'gamma'))
        # print('igsq:', np.unique(buzzutil.listparams(HinfBounded_results, 'igsq')))
        # print('F1_gain', np.unique(buzzutil.listparams(HinfBounded_results, 'F1_gain')))
        # print('F1_gain', buzzutil.listparams(HinfBounded_results, 'F1_gain'))

        HinfBounded_results = results_Hib
        # H2_results = results_H2

        # f1_gains = np.unique(buzzutil.listparams(HinfBounded_results, 'F1_gain'))

        # HinfBounded_results =  buzzutil.filtparam(HinfBounded_results, "F1_gain", f1_gains[3], compare="eq")

        for point in HinfBounded_results:
            if point["gamma"] == None:
                point["gamma"] = np.inf

        # Remove labels
        for datadict in HinfBounded_results:
            datadict["label1"] = None
            datadict["label2"] = None

        # Adding the current controller to the plot
        module_gain = -40 # this is the gain of the filter module
        filter_list = np.array([1, 3, 4, 5, 6]) # this is a list of the filters in the module that are on

        zpksys, filtinfo = readFilter.readFilterSys_Scipy(
            fjoin("H1ASC.txt"), "ASC_DHARD_Y", np.array(filter_list)
        )

        z, p, k = FilteringUtils.d2c(
            (zpksys.zeros, zpksys.poles, zpksys.gain), fs=1 / zpksys.dt
        )

        k = k.real * module_gain
        K_mod = SISO.zpk(z, p, k, angular=True, fiducial_rtol=1e-5, fiducial_atol=1e-10).asSS
        K_iod = {"C.in": 0, "C.out": 0}
        K = wieldSS(K_mod, K_iod)
        K = (K.siso("C.out", "C.in") * sysB.sys["S.out", "SA.in"]).mimo(
            "C.out", "C.in"
        ) # Add in the part of P that was moved to env. noise block
        K = ssutil.balance_sys_gain(K)

        curdict = HinfBounded_results[0].copy()
        curdict["Ac"] = K.A
        curdict["Bc"] = K.B
        curdict["Cc"] = K.C
        curdict["Dc"] = K.D
        curdict["K"] = K
        curdict["label"] = "Hand Tuned Controller"

        extraplots = compute.calcFullResults(
            [curdict], color="dimgrey",
            label="Hand Tuned Controller",
            plot_omega=curdict["plot_omega"],
        )
        extraplots[0]["F1_gain"] = sum(buzzutil.listparams(HinfBounded_results, "F1_gain"))
        extraplots[0]["linecolor"] = "DodgerBlue"
        extraplots[0]["linestyle"] = "--"
        extraplots[0]["solver"] = "Hand Tuned"
        extraplots[0]["rms_marker"] = "^"

        HinfBounded_results_E = HinfBounded_results + extraplots
        H2_results_E = H2_results + extraplots

        every_nth = 2  # removes every nth element
        H2_results_E_short = H2_results[every_nth - 1 :: every_nth] + extraplots


        xlim= [0.2, 0.5]
        ylim = [3e-14, 9e-14]
        # Adding the current controller to the plot
        setname_Hib = "ADY_Hib"

        if len(HinfBounded_results_E + H2_results)>100:
            plot_text=False
        else:
            plot_text='pm'

        print('Plotting RMS Plot')
        fig_rms_Hib = plotting.plotRMS(
            HinfBounded_results_E + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=plot_text,
            f1line=True,
            h2line=True,
            plotrange=False,
            #xlim=xlim,
            #ylim=ylim
            test=True,
        )

        fig_rms_Hib[0].savefig(tjoin("rms_HiB.pdf"), bbox_inches="tight")
        fig_rms_Hib[0].savefig(tjoin("rms_HiB.png"), bbox_inches="tight")

        print('Plotting RMS Plot with lost range')
        fig_rms_lost_range_Hib = plotting.plotRMS(
            HinfBounded_results_E + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=plot_text,
            f1line=True,
            h2line=True,
            plotrange='diff',
            test=True,
            #xlim=xlim,
            #ylim=ylim
        )

        fig_rms_lost_range_Hib[0].savefig(tjoin("rms_HiB_lost_range.pdf"), bbox_inches="tight")
        fig_rms_lost_range_Hib[0].savefig(tjoin("rms_HiB_lost_range.png"), bbox_inches="tight")


        f1gains_Hib = np.unique(buzzutil.listparams(HinfBounded_results, "F1_gain"))
        try:
            HinfBounded_results_single_f1gain = buzzutil.filtparam(HinfBounded_results, "F1_gain", f1gains_Hib[-4], compare="eq")
        except:
            HinfBounded_results_single_f1gain = buzzutil.filtparam(HinfBounded_results, "F1_gain", f1gains_Hib[0], compare="eq")
        HinfBounded_results_single_f1gain = (
            compute.calcFullResults(
                HinfBounded_results_single_f1gain,
                colormap="RdYlGn",
                plot_omega=HinfBounded_results[0]["plot_omega"],
                color_param="igsq",
                label=False,
            )
            + extraplots
        )

        print('Plotting RMS Plot With Range')
        fig_rms_range_Hib = plotting.plotRMS(
            HinfBounded_results + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=plot_text,
            f1line=True,
            h2line=True,
            plotrange=True,
            test=True,
            #xlim=xlim,
            #ylim=ylim
        )

        fig_rms_range_Hib[0].savefig(tjoin("rms_HiB_range.pdf"), bbox_inches="tight")
        fig_rms_range_Hib[0].savefig(tjoin("rms_HiB_range.png"), bbox_inches="tight")

        xlim_PSD=[4.725, 4.805]
        print('Plotting RMS Plot With Range from PSD')
        fig_rms_range_PSD_Hib = plotting.plotRMS(
            HinfBounded_results + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=plot_text,
            f1line=True,
            h2line=True,
            plotrange='PSD',
            xlim=xlim_PSD,
            test=True,
            #ylim=ylim
        )

        fig_rms_range_PSD_Hib[0].savefig(tjoin("rms_HiB_range_from_PSD.pdf"), bbox_inches="tight")
        fig_rms_range_PSD_Hib[0].savefig(tjoin("rms_HiB_range_from_PSD.png"), bbox_inches="tight")

        print('Plotting Heatmap')
        fig_rmsheatmap = plotting.plotHeatmap(HinfBounded_results + H2_results, test=True)
        fig_rmsheatmap[0].savefig(tjoin("heatmap.pdf"), bbox_inches="tight")
        fig_rmsheatmap[0].savefig(tjoin("heatmap.png"), bbox_inches="tight")

        print('Plotting RMS Plot with Heatmap')
>       fig_rmsheatmap_Hib = plotting.plotRMS(
            HinfBounded_results_E + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=False,
            f1line=True,
            h2line=True,
            plotrange=True,
            heatmap=True,
            test=True,
        )

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:621: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/builds/buzz/src/buzz/plotting.py:516: in plotRMS
    grid_v = griddata((log_x, log_y), heatmap_color, (grid_log_x, grid_log_y), method='cubic')
/opt/conda/lib/python3.12/site-packages/scipy/interpolate/_ndgriddata.py:327: in griddata
    ip = CloughTocher2DInterpolator(points, values, fill_value=fill_value,
interpnd.pyx:931: in scipy.interpolate.interpnd.CloughTocher2DInterpolator.__init__
    ???
interpnd.pyx:92: in scipy.interpolate.interpnd.NDInterpolatorBase.__init__
    ???
interpnd.pyx:950: in scipy.interpolate.interpnd.CloughTocher2DInterpolator._calculate_triangulation
    ???
_qhull.pyx:1885: in scipy.spatial._qhull.Delaunay.__init__
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   ValueError: Points cannot contain NaN

_qhull.pyx:280: ValueError
T_plot_HiB[ExampleModels_newFOM]
output
save fldr:  /builds/buzz/test/ASC_SOLVER/ExampleModels_newFOM/results_H2_ADY.pkl

Range from PSD:  182.9457750975944
Plotting RMS Plot
Plotting RMS Plot with lost range

Range from PSD:  179.2177698211322

Range from PSD:  141.3841817197587

Range from PSD:  194.2395997561893

Range from PSD:  194.2395997561893

Range from PSD:  194.35812998810232

Range from PSD:  193.7227660687067

Range from PSD:  126.75617139121309
Plotting RMS Plot With Range
Plotting RMS Plot With Range from PSD
Plotting Heatmap
Plotting RMS Plot with Heatmap
Plotting RMS Range Plot single result
Plotting Open Loop
Captured stderr call

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captured errors:
folder = 'ExampleModels_newFOM'
dfile = '/builds/buzz/test/ASC_SOLVER/ExampleModels_newFOM/results_Hib_ADY.pkl'

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_plot_HiB(folder, dfile = None):
        if folder is None:
            folder = "ExampleModels"

        sysB = get_systemB(folder=folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function



        H2_results = buzzutil.load_results(fjoin(folder, "results_H2_ADY.pkl"))
        print('save fldr: ', fjoin(folder, "results_H2_ADY.pkl"))

        if dfile is None:
            ofile = "results_Hib_ADY.pkl"
            dfile = fjoin(folder, ofile)
        results_Hib = buzzutil.load_results(dfile)


        # print('Gamma:', buzzutil.listparams(HinfBounded_results, 'gamma'))
        # print('igsq:', np.unique(buzzutil.listparams(HinfBounded_results, 'igsq')))
        # print('F1_gain', np.unique(buzzutil.listparams(HinfBounded_results, 'F1_gain')))
        # print('F1_gain', buzzutil.listparams(HinfBounded_results, 'F1_gain'))

        HinfBounded_results = results_Hib
        # H2_results = results_H2

        # f1_gains = np.unique(buzzutil.listparams(HinfBounded_results, 'F1_gain'))

        # HinfBounded_results =  buzzutil.filtparam(HinfBounded_results, "F1_gain", f1_gains[3], compare="eq")

        for point in HinfBounded_results:
            if point["gamma"] == None:
                point["gamma"] = np.inf

        # Remove labels
        for datadict in HinfBounded_results:
            datadict["label1"] = None
            datadict["label2"] = None

        # Adding the current controller to the plot
        module_gain = -40 # this is the gain of the filter module
        filter_list = np.array([1, 3, 4, 5, 6]) # this is a list of the filters in the module that are on

        zpksys, filtinfo = readFilter.readFilterSys_Scipy(
            fjoin("H1ASC.txt"), "ASC_DHARD_Y", np.array(filter_list)
        )

        z, p, k = FilteringUtils.d2c(
            (zpksys.zeros, zpksys.poles, zpksys.gain), fs=1 / zpksys.dt
        )

        k = k.real * module_gain
        K_mod = SISO.zpk(z, p, k, angular=True, fiducial_rtol=1e-5, fiducial_atol=1e-10).asSS
        K_iod = {"C.in": 0, "C.out": 0}
        K = wieldSS(K_mod, K_iod)
        K = (K.siso("C.out", "C.in") * sysB.sys["S.out", "SA.in"]).mimo(
            "C.out", "C.in"
        ) # Add in the part of P that was moved to env. noise block
        K = ssutil.balance_sys_gain(K)

        curdict = HinfBounded_results[0].copy()
        curdict["Ac"] = K.A
        curdict["Bc"] = K.B
        curdict["Cc"] = K.C
        curdict["Dc"] = K.D
        curdict["K"] = K
        curdict["label"] = "Hand Tuned Controller"

        extraplots = compute.calcFullResults(
            [curdict], color="dimgrey",
            label="Hand Tuned Controller",
            plot_omega=curdict["plot_omega"],
        )
        extraplots[0]["F1_gain"] = sum(buzzutil.listparams(HinfBounded_results, "F1_gain"))
        extraplots[0]["linecolor"] = "DodgerBlue"
        extraplots[0]["linestyle"] = "--"
        extraplots[0]["solver"] = "Hand Tuned"
        extraplots[0]["rms_marker"] = "^"

        HinfBounded_results_E = HinfBounded_results + extraplots
        H2_results_E = H2_results + extraplots

        every_nth = 2  # removes every nth element
        H2_results_E_short = H2_results[every_nth - 1 :: every_nth] + extraplots


        xlim= [0.2, 0.5]
        ylim = [3e-14, 9e-14]
        # Adding the current controller to the plot
        setname_Hib = "ADY_Hib"

        if len(HinfBounded_results_E + H2_results)>100:
            plot_text=False
        else:
            plot_text='pm'

        print('Plotting RMS Plot')
        fig_rms_Hib = plotting.plotRMS(
            HinfBounded_results_E + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=plot_text,
            f1line=True,
            h2line=True,
            plotrange=False,
            #xlim=xlim,
            #ylim=ylim
            test=True,
        )

        fig_rms_Hib[0].savefig(tjoin("rms_HiB.pdf"), bbox_inches="tight")
        fig_rms_Hib[0].savefig(tjoin("rms_HiB.png"), bbox_inches="tight")

        print('Plotting RMS Plot with lost range')
        fig_rms_lost_range_Hib = plotting.plotRMS(
            HinfBounded_results_E + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=plot_text,
            f1line=True,
            h2line=True,
            plotrange='diff',
            test=True,
            #xlim=xlim,
            #ylim=ylim
        )

        fig_rms_lost_range_Hib[0].savefig(tjoin("rms_HiB_lost_range.pdf"), bbox_inches="tight")
        fig_rms_lost_range_Hib[0].savefig(tjoin("rms_HiB_lost_range.png"), bbox_inches="tight")


        f1gains_Hib = np.unique(buzzutil.listparams(HinfBounded_results, "F1_gain"))
        try:
            HinfBounded_results_single_f1gain = buzzutil.filtparam(HinfBounded_results, "F1_gain", f1gains_Hib[-4], compare="eq")
        except:
            HinfBounded_results_single_f1gain = buzzutil.filtparam(HinfBounded_results, "F1_gain", f1gains_Hib[0], compare="eq")
        HinfBounded_results_single_f1gain = (
            compute.calcFullResults(
                HinfBounded_results_single_f1gain,
                colormap="RdYlGn",
                plot_omega=HinfBounded_results[0]["plot_omega"],
                color_param="igsq",
                label=False,
            )
            + extraplots
        )

        print('Plotting RMS Plot With Range')
        fig_rms_range_Hib = plotting.plotRMS(
            HinfBounded_results + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=plot_text,
            f1line=True,
            h2line=True,
            plotrange=True,
            test=True,
            #xlim=xlim,
            #ylim=ylim
        )

        fig_rms_range_Hib[0].savefig(tjoin("rms_HiB_range.pdf"), bbox_inches="tight")
        fig_rms_range_Hib[0].savefig(tjoin("rms_HiB_range.png"), bbox_inches="tight")

        xlim_PSD=[4.725, 4.805]
        print('Plotting RMS Plot With Range from PSD')
        fig_rms_range_PSD_Hib = plotting.plotRMS(
            HinfBounded_results + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=plot_text,
            f1line=True,
            h2line=True,
            plotrange='PSD',
            xlim=xlim_PSD,
            test=True,
            #ylim=ylim
        )

        fig_rms_range_PSD_Hib[0].savefig(tjoin("rms_HiB_range_from_PSD.pdf"), bbox_inches="tight")
        fig_rms_range_PSD_Hib[0].savefig(tjoin("rms_HiB_range_from_PSD.png"), bbox_inches="tight")

        print('Plotting Heatmap')
        fig_rmsheatmap = plotting.plotHeatmap(HinfBounded_results + H2_results, test=True)
        fig_rmsheatmap[0].savefig(tjoin("heatmap.pdf"), bbox_inches="tight")
        fig_rmsheatmap[0].savefig(tjoin("heatmap.png"), bbox_inches="tight")

        print('Plotting RMS Plot with Heatmap')
        fig_rmsheatmap_Hib = plotting.plotRMS(
            HinfBounded_results_E + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=False,
            f1line=True,
            h2line=True,
            plotrange=True,
            heatmap=True,
            test=True,
        )

        fig_rmsheatmap_Hib[0].savefig(tjoin("rms_heatmap_HiB.pdf"), bbox_inches="tight")
        fig_rmsheatmap_Hib[0].savefig(tjoin("rms_heatmap_HiB.png"), bbox_inches="tight")

        print('Plotting RMS Range Plot single result')
        fig_single_Hib = plotting.plotRMS(
            HinfBounded_results_single_f1gain + H2_results,
            setname=setname_Hib,
            outlineparam='pm',
            text=False,
            f1line=True,
            h2line=True,
            plotrange=True,
            heatmap=False,
            test=True,
        )

        fig_single_Hib[0].savefig(tjoin("rms_HiB_singlef1gain_range.pdf"), bbox_inches="tight")
        fig_single_Hib[0].savefig(tjoin("rms_HiB_singlef1gain_range.png"), bbox_inches="tight")


        """HinfBounded_results_E = HinfBounded_results + extraplots
        H2_results_E = H2_results + extraplots
        every_nth = 2 # removes every nth element
        H2_results_E_short = H2_results[every_nth-1::every_nth]+ extraplots"""

        print('Plotting Open Loop')
        ylim = [3e-4, 1e5]
>       fig_ol_Hib, ax_ol_Hib = plotting.plotLoop(
            HinfBounded_results_single_f1gain, "OL", setname=setname_Hib, ylim=ylim, UG_line=True
        )

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:660: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/builds/buzz/src/buzz/plotting.py:236: in plotLoop
    makePlotFolder(setname=setname)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

setname = 'ADY_Hib'

    def makePlotFolder(setname=''):
        """Makes a folder to store the plots in if it doesn't already exist

        """
>       assert(False)
E       AssertionError

/builds/buzz/src/buzz/plotting.py:135: AssertionError
T_plot_HiB[ExampleModels_rescale]
output
status: failed
duration: 0.043s
captured errors:
folder = 'ExampleModels_rescale', dfile = None

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_plot_HiB(folder, dfile = None):
        if folder is None:
            folder = "ExampleModels"

        sysB = get_systemB(folder=folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function



>       H2_results = buzzutil.load_results(fjoin(folder, "results_H2_ADY.pkl"))

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:442: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

filename = '/builds/buzz/test/ASC_SOLVER/ExampleModels_rescale/results_H2_ADY.pkl'

    def load_results(filename):
        """Loads the results from a pickle file

        Args:
            filename (str): filename to load the results from

        Returns:
            list: list of results dictionaries
        """
>       with open(filename, 'rb') as f:
E       FileNotFoundError: [Errno 2] No such file or directory: '/builds/buzz/test/ASC_SOLVER/ExampleModels_rescale/results_H2_ADY.pkl'

/builds/buzz/src/buzz/buzzutil.py:230: FileNotFoundError
T_plot_HiB[ExampleModels_working]
output
status: failed
duration: 0.017s
captured errors:
folder = 'ExampleModels_working', dfile = None

    @pytest.mark.parametrize('folder', ['ExampleModels_rescale', 'ExampleModels', 'ExampleModels_working', 'ExampleModels_newFOM', 'ExampleModels_newFOM_F3'])
    def T_plot_HiB(folder, dfile = None):
        if folder is None:
            folder = "ExampleModels"

        sysB = get_systemB(folder=folder)
        FBNS_renorm = np.loadtxt(fjoin(folder, 'FBNS_scale.txt')) # Saved by the normalization in the make function



>       H2_results = buzzutil.load_results(fjoin(folder, "results_H2_ADY.pkl"))

/builds/buzz/test/ASC_SOLVER/test_solver_ADY.py:442: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

filename = '/builds/buzz/test/ASC_SOLVER/ExampleModels_working/results_H2_ADY.pkl'

    def load_results(filename):
        """Loads the results from a pickle file

        Args:
            filename (str): filename to load the results from

        Returns:
            list: list of results dictionaries
        """
>       with open(filename, 'rb') as f:
E       FileNotFoundError: [Errno 2] No such file or directory: '/builds/buzz/test/ASC_SOLVER/ExampleModels_working/results_H2_ADY.pkl'

/builds/buzz/src/buzz/buzzutil.py:230: FileNotFoundError
get_systemB(folder='ExampleModels')[source]

This is a pytest needing documentation

code
1def get_systemB(folder = 'ExampleModels'):
2    fname = fjoin(folder, "ADY_Sanex.mat")
3    sys = ssutil.loadSys(fname)
4
5    orig_plant_fname = fjoin(folder, "ADY_plant.mat")
6    orig_plant = ssutil.loadSys(orig_plant_fname)
7
8    return Bunch(locals())
pytest information

This code is wrapped in a pytest function using conventions detailed in pytest_conventions. The full name of this test, as known by the documentation, is:

test.ASC_SOLVER.test_solver_ADY.get_systemB

The full name is useful when building documentation, to link a reference to this page using :func:`name`, or directly include it with an autofunction directive. The collapse nodes below show every instance of the test run. There may only be one, but if the test was run multiple times through pytest parametrizations, the list can be longer.