test_quad_plot_v2

wield.control.fitting.SISO.test.v2.test_quad_plot_v2

This is a pytest module needing documentation

pytest-html report

Functions

test_quad_M0_P2V_10Hz_S(request)

This is a pytest needing documentation

Details

test_quad_M0_P2V_10Hz_S(request)[source][github]

This is a pytest needing documentation

code
 1@pytest.mark.skipif(module_import_skip, reason="cannot import IIRrational_test_data")
 2def test_quad_M0_P2V_10Hz_S(request):
 3    data_name = "quad_M0_P2V_10Hz"
 4
 5    dataB = testing_data_dev(
 6        data_name,
 7        instance_num=1,
 8        set_num=2,
 9    )
10
11    out = v2.data2filter(
12        F_Hz=dataB.F_Hz,
13        data=dataB.data,
14        SNR=dataB.SNR,
15        F_nyquist_Hz=None,
16        # order_initial = 80,
17        total_degree_min=None,
18        delay_s=0,
19        mode="rational",
20        baseline_only=True,
21        # SNR_cuttoff = 50,
22        hints=[
23            testing.validate_plot_log(tjoin('error')),
24        ],
25    )
26
27    # out.fitter.matched_pairs_clear(Q_rank_cutoff = .4)
28    def plot():
29        return plots.plot_fit(
30            out.fitter,
31            plot_zp=True,
32            # plot_past_data = False,
33            plot_past_data=True,
34            xscale="log",
35        )
36
37    with testing.plot_on_assert(tjoin('quad_fit'), plot, plot_anyway=True):
38        pass
39        # assert(False)
40    return
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:

wield.control.fitting.SISO.test.v2.test_quad_plot_v2.test_quad_M0_P2V_10Hz_S

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.

test_quad_M0_P2V_10Hz_S
output
{'F_Hz': array([7.81372070e-03, 1.56274414e-02, 2.34411621e-02, ...,
       9.97812134e+00, 9.98593506e+00, 9.99374878e+00]), 'data': array([ 2.5527173e-04-5.4735614e-05j,  1.4490190e-04+9.5448333e-05j,
        1.6089463e-04+4.5499619e-05j, ..., -3.7766365e-06+1.7787797e-06j,
       -3.7128011e-06+2.1219641e-06j, -4.8085726e-06+2.3245782e-06j],
      dtype=complex64), 'SNR': array([0.0000000e+00, 4.8792982e-01, 5.2257023e+01, ..., 9.2707068e+02,
       5.4045636e+02, 6.6327863e+02], dtype=float32), 'F_nyquist_Hz': None, 'total_degree_min': None, 'delay_s': 0, 'mode': 'rational', 'baseline_only': True, 'hints': [{'fitter_update_validate': <function sign_validate_and_plot_hint.<locals>.sign_validate_plot at 0x7f6ee2a47060>, 'fitter_check_validate': <function sign_validate_and_plot_hint.<locals>.sign_validate_plot at 0x7f6ee2a47060>, 'rational_fitter_validate': <function rational_fitter_validate at 0x7f6ee385f4c0>, 'log_level_debug': 10, 'log_level': 10, 'log_level_warn': 10}]}
TEE_LOGFILE None
A []
B []
------------:SNR Fix Test:
9D   0.01    W:ratio 0.5 0.9995099080886224 0.597958966688072 0 620 20404.3359375
9D   0.01    W:ratio 0.5 0.9964463869011878 0.8315471252786804 0 310 2814.037353515625
9D   0.01    W:ratio 0.5 0.9890873206175042 0.9169700847762567 0 155 916.365234375
9D   0.01    W:ratio 0.5 0.9654810140836999 0.9532016057046675 0 77 289.6956481933594
9D   0.01    W:ratio 0.5 0.761153907689863 0.9767190936390553 38 77 41.86796569824219
9D   0.01    W:ratio 0.5 0.9146018229857736 0.9654356098019682 57 77 117.09851837158203
9D   0.01    W:ratio 0.5 0.9556602946382081 0.9568954896295647 67 77 225.531494140625
9D   0.01    W:ratio 0.5 0.9598963115021694 0.9555790163116282 67 72 249.35362243652344
9D   0.01    W:ratio 0.5 0.9585051074947301 0.9560459182178652 67 69 240.99351501464844
9D   0.01    W:ratio 0.5 0.9574543364136568 0.9563740251428865 67 68 235.0415802001953
------------:rational fitting:
4P   0.02    chebychev rational fit
RELDEG:  0 0 0
--------------:rational fitting:Rational Fit Order Scanning:
8D   3.41      Using last (direct)! 40
3P   3.49    Initial Order: (Z=40, P=40, Z-P=0)
6P   3.54    New representative, Res: 44938.67, from: 44938.67
3P   3.54    Fastdrop Order: (Z=18, P=18, Z-P=0)
4P   3.57    mag fitting and phase patching
5D   6.47    log residuals average 34513.542800563526
--------------:rational fitting:sample variance (from magnitude):
5D   6.88      variance 0.355376402071064 225.16751933434935
3A   6.88      Weight Scaling determined:  633.6029010989959
3A   6.88      Weight Scaling Used  25.171469982879344
--------------:rational fitting:Phase patching:
6I   6.88      LOCATION  5.446163330078125
6I   6.88      BW:  2.1175183105468753
8I   6.88      Isep 0.4406148984414725
8I   6.88      Icmn -0.3013176599586443
8D   6.88      Skipping Pair
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8I   6.88      Isep 0.4411913071028717
8I   6.88      Icmn -0.3006835166355175
8D   6.88      Skipping Pair
6I   6.88      LOCATION  5.864197387695313
6I   6.88      BW:  2.992655029296875
8I   6.88      Isep 1.0382924852314124
8I   6.88      Icmn -0.1931760279340582
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6I   7.54      LOCATION  1.6213470458984376
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6I   7.54      LOCATION  6.567432250976563
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6I   8.81      LOCATION  6.567432250976563
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8I   8.81      Isep 0.7706713715017713
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6I  21.92      LOCATION  0.5235192871093751
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8I  21.92      Isep 0.32293069049016
8I  21.92      Icmn 0.34366016469146193
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6I  21.92      LOCATION  0.7891857910156251
6I  21.92      BW:  0.2500390625000001
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6I  21.93      LOCATION  4.262384643554688
6I  21.93      BW:  0.586029052734375
8I  21.93      Isep 1.281966780221519
8I  21.93      Icmn 0.3137930069619577
6I  21.93      LOCATION  7.505078735351564
6I  21.93      BW:  2.4691357421875004
8I  21.93      Isep 1.3397735433092688
8I  21.93      Icmn 0.31933320398615894
6I  25.73      LOCATION  0.13674011230468752
6I  25.73      BW:  0.07032348632812502
8I  25.73      Isep 1.127907725901774
8I  25.73      Icmn -0.2872217220744049
6I  25.73      LOCATION  0.6563525390625
6I  25.73      BW:  0.042975463867187536
8I  25.73      Isep 0.8512975982078003
8I  25.73      Icmn -0.1989584162915457
6I  25.73      LOCATION  1.4025628662109375
6I  25.73      BW:  0.21878417968750008
8I  25.73      Isep 1.550328194998699
8I  25.73      Icmn -0.10796796052727592
6I  25.73      LOCATION  1.8010626220703125
6I  25.73      BW:  0.17190185546875003
8I  25.73      Isep 1.5482296220079683
8I  25.73      Icmn -0.10691867403191063
6I  25.73      LOCATION  2.4886700439453127
6I  25.73      BW:  0.25785278320312477
8I  25.73      Isep 1.6802165790203938
8I  25.73      Icmn 0.14888165574502776
6I  25.73      LOCATION  2.947726135253906
6I  25.73      BW:  0.08399749755859376
8I  25.73      Isep 0.7383248370777664
8I  25.73      Icmn 0.6198275267163414
6I  25.73      LOCATION  3.4321768188476565
6I  25.73      BW:  0.13869354248046872
8I  25.73      Isep 1.1981494996704576
8I  25.73      Icmn 0.35724441489778075
6I  25.73      LOCATION  4.266291503906251
6I  25.73      BW:  0.5821221923828124
8I  25.73      Isep 1.2762999531648895
8I  25.73      Icmn 0.3181691881505647
6I  25.73      LOCATION  7.505078735351564
6I  25.73      BW:  2.4691357421875004
8I  25.73      Isep 1.349150717961251
8I  25.73      Icmn 0.3144145862745992
6P  25.77    New representative, Res: 46427.19, from: 46427.19
6P  26.40  New representative, Res: 46427.19, from: 46427.19
9D  32.43  Residuals N:46901.50, C:46427.19, C2:46427.19
10D  32.43  Failed resavg_RthreshOrdC.default, 1.010216269784325 > 1.0
10D  32.43  IMPROVED:  False residuals:  46901.502669620626 46427.18997154322
------------:Q-ranked order reduction:
9D  33.07    Residuals N:33205.88, C:46427.19, C2:46427.19
10D  33.07    IMPROVED:  True residuals:  33205.87607691214 46427.18997154322
6P  33.11    New representative, Res: 33205.88, from: 33205.88
6P  33.12    New representative, Res: 33205.88, from: 33205.88
4P  33.12    order reduced annealing
9D  38.35    Residuals N:33166.88, C:33205.88, C2:33205.88
10D  38.36    IMPROVED:  True residuals:  33166.88076697225 33205.87607691214
6P  38.38    New representative, Res: 33166.88, from: 33166.88
6P  38.40    New representative, Res: 33166.88, from: 33166.88
BASELINE:  16
------------:investigations:
2I  38.41    max(z, p)       ChiSq.
                   order    avg. res.    med. res.    max. res.
             -----------  -----------  -----------  -----------
                      16      33166.9      57750.4       423633
Captured stderr call
3W   0.00  38 SNR=0 element(s) dropped (of 1279)
3W   0.01    The number of effective data points N=(ΣW^2)^2/(ΣW^4)=9.47e-03*len(W)
             [where W=SNR] is below the configured 'SNR_regularize_scale'=10,
             given the maximum SNR=299488448.0. Now Finding an SNR ceiling that balances
             the ratio with max SNR.
3W   0.01    Using SNR<225.531494140625 ceiling.
3W   3.53    Fitter_checkpoint improvement succeed, None
1W   8.81      Phase patching did not remove all unstable roots in
               a single pass. It is not programmed to accommodate this
               failure mode. Unstable zeros (or poles) may be wrong.
1W  10.83      Phase patching did not remove all unstable roots in
               a single pass. It is not programmed to accommodate this
               failure mode. Unstable zeros (or poles) may be wrong.
1W  11.40      Phase patching did not remove all unstable roots in
               a single pass. It is not programmed to accommodate this
               failure mode. Unstable zeros (or poles) may be wrong.
1W  21.92      Phase patching did not remove all unstable roots in
               a single pass. It is not programmed to accommodate this
               failure mode. Unstable zeros (or poles) may be wrong.
1W  25.73      Phase patching did not remove all unstable roots in
               a single pass. It is not programmed to accommodate this
               failure mode. Unstable zeros (or poles) may be wrong.
3W  25.73    Phase patching found an excessive number of phase loops. Rational fitting probably didn't perform well... Skipping phase patching.
             Check --mode=rational to see how bad that fit was. Use --poles and --zeros suggestions to improve it.
3W  33.11    Fitter_checkpoint improvement succeed, None
3W  38.38    Fitter_checkpoint improvement succeed, None