TsRegressionPreventer::SetResult:
  adjusted: false
  havePreSegment: false
  preActiveAdjusted: false
  preActiveAdjustedWidth: 0.000000
  preOppositeAdjusted: false
  preOppositeAdjustedWidth: 0.000000
  havePostSegment: true
  postActiveAdjusted: false
  postActiveAdjustedWidth: 0.800000
  postOppositeAdjusted: false
  postOppositeAdjustedWidth: 0.800000
-----
Spline:
  hermite false
  preExtrap Held
  postExtrap Held
Knots:
  0.400000: 0.000000, Curve, preSlope 0.000000, postSlope 0.000000, preLen 0.000000, postLen 0.800000, auto false / false
  1.000000: 1.000000, Curve, preSlope 0.000000, postSlope 0.000000, preLen 0.800000, 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('0x1.999999999999ap-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('0x1.999999999999ap-1'), 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 0.000076
0.414925 0.000119
0.417910 0.000172
0.420896 0.000235
0.423881 0.000309
0.426866 0.000393
0.429851 0.000488
0.432836 0.000593
0.435821 0.000709
0.438806 0.000837
0.441791 0.000976
0.444776 0.001126
0.447761 0.001288
0.450746 0.001462
0.453731 0.001648
0.456716 0.001846
0.459701 0.002057
0.462687 0.002280
0.465672 0.002517
0.468657 0.002766
0.471642 0.003029
0.474627 0.003306
0.477612 0.003597
0.480597 0.003901
0.483582 0.004220
0.486567 0.004554
0.489552 0.004903
0.492537 0.005267
0.495522 0.005647
0.498507 0.006042
0.501493 0.006454
0.504478 0.006882
0.507463 0.007328
0.510448 0.007790
0.513433 0.008270
0.516418 0.008768
0.519403 0.009285
0.522388 0.009820
0.525373 0.010375
0.528358 0.010949
0.531343 0.011543
0.534328 0.012158
0.537313 0.012794
0.540299 0.013452
0.543284 0.014131
0.546269 0.014834
0.549254 0.015560
0.552239 0.016309
0.555224 0.017083
0.558209 0.017882
0.561194 0.018707
0.564179 0.019559
0.567164 0.020437
0.570149 0.021344
0.573134 0.022280
0.576119 0.023245
0.579104 0.024241
0.582090 0.025269
0.585075 0.026329
0.588060 0.027422
0.591045 0.028550
0.594030 0.029715
0.597015 0.030916
0.600000 0.032155
0.602985 0.033434
0.605970 0.034755
0.608955 0.036118
0.611940 0.037525
0.614925 0.038978
0.617910 0.040479
0.620896 0.042030
0.623881 0.043633
0.626866 0.045289
0.629851 0.047003
0.632836 0.048775
0.635821 0.050609
0.638806 0.052508
0.641791 0.054475
0.644776 0.056514
0.647761 0.058628
0.650746 0.060822
0.653731 0.063100
0.656716 0.065467
0.659701 0.067928
0.662687 0.070490
0.665672 0.073159
0.668657 0.075943
0.671642 0.078850
0.674627 0.081890
0.677612 0.085072
0.680597 0.088410
0.683582 0.091917
0.686567 0.095609
0.689552 0.099505
0.692537 0.103626
0.695522 0.107998
0.698507 0.112654
0.701493 0.887346
0.704478 0.892002
0.707463 0.896374
0.710448 0.900495
0.713433 0.904391
0.716418 0.908083
0.719403 0.911590
0.722388 0.914928
0.725373 0.918110
0.728358 0.921150
0.731343 0.924057
0.734328 0.926841
0.737313 0.929510
0.740299 0.932072
0.743284 0.934533
0.746269 0.936900
0.749254 0.939178
0.752239 0.941372
0.755224 0.943486
0.758209 0.945525
0.761194 0.947492
0.764179 0.949391
0.767164 0.951225
0.770149 0.952997
0.773134 0.954711
0.776119 0.956367
0.779104 0.957970
0.782090 0.959521
0.785075 0.961022
0.788060 0.962475
0.791045 0.963882
0.794030 0.965245
0.797015 0.966566
0.800000 0.967845
0.802985 0.969084
0.805970 0.970285
0.808955 0.971450
0.811940 0.972578
0.814925 0.973671
0.817910 0.974731
0.820896 0.975759
0.823881 0.976755
0.826866 0.977720
0.829851 0.978656
0.832836 0.979563
0.835821 0.980441
0.838806 0.981293
0.841791 0.982118
0.844776 0.982917
0.847761 0.983691
0.850746 0.984440
0.853731 0.985166
0.856716 0.985869
0.859701 0.986548
0.862687 0.987206
0.865672 0.987842
0.868657 0.988457
0.871642 0.989051
0.874627 0.989625
0.877612 0.990180
0.880597 0.990715
0.883582 0.991232
0.886567 0.991730
0.889552 0.992210
0.892537 0.992672
0.895522 0.993118
0.898507 0.993546
0.901493 0.993958
0.904478 0.994353
0.907463 0.994733
0.910448 0.995097
0.913433 0.995446
0.916418 0.995780
0.919403 0.996099
0.922388 0.996403
0.925373 0.996694
0.928358 0.996971
0.931343 0.997234
0.934328 0.997483
0.937313 0.997720
0.940299 0.997943
0.943284 0.998154
0.946269 0.998352
0.949254 0.998538
0.952239 0.998712
0.955224 0.998874
0.958209 0.999024
0.961194 0.999163
0.964179 0.999291
0.967164 0.999407
0.970149 0.999512
0.973134 0.999607
0.976119 0.999691
0.979104 0.999765
0.982090 0.999828
0.985075 0.999881
0.988060 0.999924
0.991045 0.999958
1.000000 1.000000
1.120000 1.000000
