TsRegressionPreventer::SetResult:
  adjusted: true
  havePreSegment: false
  preActiveAdjusted: false
  preActiveAdjustedWidth: 0.000000
  preOppositeAdjusted: false
  preOppositeAdjustedWidth: 0.000000
  havePostSegment: true
  postActiveAdjusted: false
  postActiveAdjustedWidth: 1.300000
  postOppositeAdjusted: true
  postOppositeAdjustedWidth: 0.530268
-----
Spline:
  hermite false
  preExtrap Held
  postExtrap Held
Knots:
  0.000000: 0.000000, Curve, preSlope 0.000000, postSlope 0.000000, preLen 0.000000, postLen 1.300000, auto false / false
  1.000000: 1.000000, Curve, preSlope 0.000000, postSlope 0.000000, preLen 0.530268, 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('0x0p+0'), 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('0x1.4cccccccccccdp+0'), 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('0x1.0f7f3ae9122b3p-1'), postLen = float.fromhex('0x0p+0'), preAuto = False, postAuto = False)])
-----
-0.200000 0.000000
0.000000 0.000000
0.004975 0.000005
0.009950 0.000020
0.014925 0.000044
0.019900 0.000079
0.024876 0.000124
0.029851 0.000179
0.034826 0.000245
0.039801 0.000321
0.044776 0.000408
0.049751 0.000505
0.054726 0.000613
0.059701 0.000733
0.064677 0.000863
0.069652 0.001004
0.074627 0.001157
0.079602 0.001321
0.084577 0.001497
0.089552 0.001684
0.094527 0.001883
0.099502 0.002095
0.104478 0.002318
0.109453 0.002553
0.114428 0.002801
0.119403 0.003062
0.124378 0.003335
0.129353 0.003620
0.134328 0.003919
0.139303 0.004231
0.144279 0.004557
0.149254 0.004895
0.154229 0.005248
0.159204 0.005614
0.164179 0.005994
0.169154 0.006388
0.174129 0.006796
0.179104 0.007219
0.184080 0.007657
0.189055 0.008110
0.194030 0.008577
0.199005 0.009060
0.203980 0.009559
0.208955 0.010073
0.213930 0.010603
0.218905 0.011149
0.223881 0.011711
0.228856 0.012290
0.233831 0.012886
0.238806 0.013499
0.243781 0.014129
0.248756 0.014777
0.253731 0.015442
0.258706 0.016126
0.263682 0.016828
0.268657 0.017549
0.273632 0.018288
0.278607 0.019047
0.283582 0.019825
0.288557 0.020623
0.293532 0.021441
0.298507 0.022279
0.303483 0.023139
0.308458 0.024019
0.313433 0.024921
0.318408 0.025844
0.323383 0.026790
0.328358 0.027758
0.333333 0.028750
0.338308 0.029764
0.343284 0.030802
0.348259 0.031865
0.353234 0.032952
0.358209 0.034064
0.363184 0.035201
0.368159 0.036365
0.373134 0.037555
0.378109 0.038772
0.383085 0.040017
0.388060 0.041289
0.393035 0.042590
0.398010 0.043921
0.402985 0.045281
0.407960 0.046671
0.412935 0.048093
0.417910 0.049546
0.422886 0.051031
0.427861 0.052550
0.432836 0.054102
0.437811 0.055688
0.442786 0.057310
0.447761 0.058968
0.452736 0.060663
0.457711 0.062396
0.462687 0.064168
0.467662 0.065979
0.472637 0.067830
0.477612 0.069724
0.482587 0.071660
0.487562 0.073640
0.492537 0.075665
0.497512 0.077736
0.502488 0.079855
0.507463 0.082022
0.512438 0.084239
0.517413 0.086508
0.522388 0.088830
0.527363 0.091207
0.532338 0.093639
0.537313 0.096130
0.542289 0.098681
0.547264 0.101294
0.552239 0.103970
0.557214 0.106712
0.562189 0.109523
0.567164 0.112404
0.572139 0.115359
0.577114 0.118389
0.582090 0.121497
0.587065 0.124688
0.592040 0.127963
0.597015 0.131326
0.601990 0.134782
0.606965 0.138333
0.611940 0.141984
0.616915 0.145740
0.621891 0.149605
0.626866 0.153584
0.631841 0.157683
0.636816 0.161909
0.641791 0.166267
0.646766 0.170766
0.651741 0.175412
0.656716 0.180214
0.661692 0.185182
0.666667 0.190326
0.671642 0.195657
0.676617 0.201189
0.681592 0.206937
0.686567 0.212915
0.691542 0.219144
0.696517 0.225644
0.701493 0.232442
0.706468 0.239566
0.711443 0.247053
0.716418 0.254947
0.721393 0.263306
0.726368 0.271650
0.731343 0.280884
0.736318 0.290716
0.741294 0.301234
0.746269 0.312551
0.751244 0.324808
0.756219 0.338194
0.761194 0.352971
0.766169 0.369511
0.771144 0.388382
0.776119 0.410521
0.781095 0.437682
0.786070 0.473936
0.791045 0.535146
0.796020 0.786450
0.800995 0.833996
0.805970 0.859199
0.810945 0.877950
0.815920 0.892721
0.820896 0.904853
0.825871 0.915094
0.830846 0.923915
0.835821 0.931623
0.840796 0.938433
0.845771 0.944500
0.850746 0.949942
0.855721 0.954847
0.860697 0.959288
0.865672 0.963323
0.870647 0.966997
0.875622 0.970350
0.880597 0.973414
0.885572 0.976218
0.890547 0.978784
0.895522 0.981134
0.900498 0.983285
0.905473 0.985253
0.910448 0.987051
0.915423 0.988693
0.920398 0.990188
0.925373 0.991547
0.930348 0.992778
0.935323 0.993890
0.940299 0.994889
0.945274 0.995781
0.950249 0.996574
0.955224 0.997272
0.960199 0.997880
0.965174 0.998403
0.970149 0.998845
0.975124 0.999211
0.980100 0.999502
0.985075 0.999724
1.000000 1.000000
1.200000 1.000000
