TsRegressionPreventer::SetResult:
  adjusted: true
  havePreSegment: false
  preActiveAdjusted: false
  preActiveAdjustedWidth: 0.000000
  preOppositeAdjusted: false
  preOppositeAdjustedWidth: 0.000000
  havePostSegment: true
  postActiveAdjusted: true
  postActiveAdjustedWidth: 0.799994
  postOppositeAdjusted: true
  postOppositeAdjustedWidth: 0.199994
-----
Spline:
  hermite false
  preExtrap Held
  postExtrap Held
Knots:
  0.400000: 0.000000, Curve, preSlope 0.000000, postSlope 0.000000, preLen 0.000000, postLen 0.799994, auto false / false
  1.000000: 1.000000, Curve, preSlope 0.000000, postSlope 0.000000, preLen 0.199994, postLen 0.000000, auto false / false
-----
Ts.TsTest_SplineData(isHermite = False, preExtrapolation = Ts.TsTest_SplineData.Extrapolation(method = Ts.TsTest_SplineData.ExtrapHeld), postExtrapolation = Ts.TsTest_SplineData.Extrapolation(method = Ts.TsTest_SplineData.ExtrapHeld), knots = [Ts.TsTest_SplineData.Knot(time = float.fromhex('0x1.999999999999ap-2'), nextSegInterpMethod = Ts.TsTest_SplineData.InterpCurve, value = float.fromhex('0x0p+0'), preSlope = float.fromhex('0x0p+0'), postSlope = float.fromhex('0x0p+0'), preLen = float.fromhex('0x0p+0'), postLen = float.fromhex('0x1.9998d045fe11p-1'), preAuto = False, postAuto = False), Ts.TsTest_SplineData.Knot(time = float.fromhex('0x1p+0'), nextSegInterpMethod = Ts.TsTest_SplineData.InterpCurve, value = float.fromhex('0x1p+0'), preSlope = float.fromhex('0x0p+0'), postSlope = float.fromhex('0x0p+0'), preLen = float.fromhex('0x1.9996744b2b777p-3'), postLen = float.fromhex('0x0p+0'), preAuto = False, postAuto = False)])
-----
0.280000 0.000000
0.400000 0.000000
0.402985 0.000005
0.405970 0.000019
0.408955 0.000042
0.411940 0.000075
0.414925 0.000118
0.417910 0.000170
0.420896 0.000232
0.423881 0.000304
0.426866 0.000386
0.429851 0.000478
0.432836 0.000580
0.435821 0.000693
0.438806 0.000815
0.441791 0.000949
0.444776 0.001092
0.447761 0.001247
0.450746 0.001412
0.453731 0.001588
0.456716 0.001775
0.459701 0.001973
0.462687 0.002182
0.465672 0.002402
0.468657 0.002634
0.471642 0.002877
0.474627 0.003132
0.477612 0.003399
0.480597 0.003677
0.483582 0.003968
0.486567 0.004270
0.489552 0.004585
0.492537 0.004913
0.495522 0.005252
0.498507 0.005605
0.501493 0.005970
0.504478 0.006348
0.507463 0.006739
0.510448 0.007143
0.513433 0.007560
0.516418 0.007991
0.519403 0.008436
0.522388 0.008894
0.525373 0.009367
0.528358 0.009853
0.531343 0.010354
0.534328 0.010869
0.537313 0.011398
0.540299 0.011943
0.543284 0.012502
0.546269 0.013077
0.549254 0.013667
0.552239 0.014272
0.555224 0.014893
0.558209 0.015530
0.561194 0.016183
0.564179 0.016852
0.567164 0.017538
0.570149 0.018240
0.573134 0.018959
0.576119 0.019696
0.579104 0.020449
0.582090 0.021221
0.585075 0.022010
0.588060 0.022817
0.591045 0.023643
0.594030 0.024487
0.597015 0.025350
0.600000 0.026231
0.602985 0.027133
0.605970 0.028053
0.608955 0.028994
0.611940 0.029955
0.614925 0.030937
0.617910 0.031939
0.620896 0.032962
0.623881 0.034007
0.626866 0.035073
0.629851 0.036162
0.632836 0.037273
0.635821 0.038406
0.638806 0.039563
0.641791 0.040743
0.644776 0.041947
0.647761 0.043175
0.650746 0.044428
0.653731 0.045706
0.656716 0.047010
0.659701 0.048339
0.662687 0.049695
0.665672 0.051077
0.668657 0.052487
0.671642 0.053924
0.674627 0.055390
0.677612 0.056885
0.680597 0.058409
0.683582 0.059963
0.686567 0.061547
0.689552 0.063162
0.692537 0.064809
0.695522 0.066488
0.698507 0.068200
0.701493 0.069945
0.704478 0.071725
0.707463 0.073539
0.710448 0.075390
0.713433 0.077276
0.716418 0.079200
0.719403 0.081162
0.722388 0.083163
0.725373 0.085202
0.728358 0.087283
0.731343 0.089406
0.734328 0.091571
0.737313 0.093779
0.740299 0.096032
0.743284 0.098331
0.746269 0.100676
0.749254 0.103070
0.752239 0.105512
0.755224 0.108006
0.758209 0.110551
0.761194 0.113149
0.764179 0.115802
0.767164 0.118511
0.770149 0.121278
0.773134 0.124105
0.776119 0.126993
0.779104 0.129944
0.782090 0.132960
0.785075 0.136044
0.788060 0.139197
0.791045 0.142422
0.794030 0.145720
0.797015 0.149095
0.800000 0.152549
0.802985 0.156085
0.805970 0.159706
0.808955 0.163415
0.811940 0.167217
0.814925 0.171113
0.817910 0.175108
0.820896 0.179207
0.823881 0.183413
0.826866 0.187731
0.829851 0.192166
0.832836 0.196725
0.835821 0.201412
0.838806 0.206235
0.841791 0.211199
0.844776 0.216313
0.847761 0.221585
0.850746 0.227015
0.853731 0.232627
0.856716 0.238426
0.859701 0.244423
0.862687 0.250631
0.865672 0.257065
0.868657 0.263740
0.871642 0.270676
0.874627 0.277893
0.877612 0.285413
0.880597 0.293263
0.883582 0.301474
0.886567 0.310081
0.889552 0.319125
0.892537 0.328656
0.895522 0.338733
0.898507 0.349426
0.901493 0.360822
0.904478 0.373032
0.907463 0.386197
0.910448 0.400501
0.913433 0.416196
0.916418 0.433637
0.919403 0.453360
0.922388 0.476224
0.925373 0.503788
0.928358 0.539452
0.931343 0.594376
0.934328 0.842275
0.937313 0.895797
0.940299 0.917670
0.943284 0.934261
0.946269 0.946441
0.949254 0.956022
0.952239 0.963769
0.955224 0.970152
0.958209 0.975479
0.961194 0.979962
0.964179 0.983752
0.967164 0.986962
0.970149 0.989680
0.973134 0.991974
0.976119 0.993897
0.979104 0.995494
0.982090 0.996802
0.985075 0.997852
0.988060 0.998668
0.991045 0.999273
1.000000 1.000000
1.120000 1.000000
