TsRegressionPreventer::SetResult:
  adjusted: true
  havePreSegment: false
  preActiveAdjusted: false
  preActiveAdjustedWidth: 0.000000
  preOppositeAdjusted: false
  preOppositeAdjustedWidth: 0.000000
  havePostSegment: true
  postActiveAdjusted: true
  postActiveAdjustedWidth: 1.203475
  postOppositeAdjusted: true
  postOppositeAdjustedWidth: 0.740596
-----
Spline:
  hermite false
  preExtrap Held
  postExtrap Held
Knots:
  0.000000: 0.000000, Curve, preSlope 0.000000, postSlope 0.000000, preLen 0.000000, postLen 1.203475, auto false / false
  1.000000: 1.000000, Curve, preSlope 0.000000, postSlope 0.000000, preLen 0.740596, 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('0x1.3416f3213ad1cp+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('0x1.7b2f6f1ab02ep-1'), postLen = float.fromhex('0x0p+0'), preAuto = False, postAuto = False)])
-----
-0.200000 0.000000
0.000000 0.000000
0.004975 0.000006
0.009950 0.000023
0.014925 0.000052
0.019900 0.000093
0.024876 0.000145
0.029851 0.000210
0.034826 0.000287
0.039801 0.000377
0.044776 0.000479
0.049751 0.000594
0.054726 0.000721
0.059701 0.000862
0.064677 0.001016
0.069652 0.001184
0.074627 0.001365
0.079602 0.001560
0.084577 0.001768
0.089552 0.001991
0.094527 0.002229
0.099502 0.002481
0.104478 0.002747
0.109453 0.003029
0.114428 0.003326
0.119403 0.003638
0.124378 0.003966
0.129353 0.004310
0.134328 0.004670
0.139303 0.005046
0.144279 0.005439
0.149254 0.005849
0.154229 0.006276
0.159204 0.006720
0.164179 0.007182
0.169154 0.007662
0.174129 0.008160
0.179104 0.008677
0.184080 0.009212
0.189055 0.009767
0.194030 0.010341
0.199005 0.010935
0.203980 0.011549
0.208955 0.012183
0.213930 0.012839
0.218905 0.013515
0.223881 0.014213
0.228856 0.014933
0.233831 0.015676
0.238806 0.016441
0.243781 0.017230
0.248756 0.018042
0.253731 0.018878
0.258706 0.019739
0.263682 0.020625
0.268657 0.021536
0.273632 0.022474
0.278607 0.023438
0.283582 0.024429
0.288557 0.025448
0.293532 0.026496
0.298507 0.027572
0.303483 0.028678
0.308458 0.029814
0.313433 0.030981
0.318408 0.032179
0.323383 0.033410
0.328358 0.034673
0.333333 0.035971
0.338308 0.037303
0.343284 0.038671
0.348259 0.040074
0.353234 0.041516
0.358209 0.042995
0.363184 0.044513
0.368159 0.046072
0.373134 0.047672
0.378109 0.049315
0.383085 0.051001
0.388060 0.052732
0.393035 0.054508
0.398010 0.056333
0.402985 0.058206
0.407960 0.060129
0.412935 0.062104
0.417910 0.064133
0.422886 0.066217
0.427861 0.068358
0.432836 0.070558
0.437811 0.072818
0.442786 0.075142
0.447761 0.077530
0.452736 0.079987
0.457711 0.082513
0.462687 0.085112
0.467662 0.087787
0.472637 0.090540
0.477612 0.093375
0.482587 0.096295
0.487562 0.099304
0.492537 0.102405
0.497512 0.105604
0.502488 0.108904
0.507463 0.112310
0.512438 0.115827
0.517413 0.119462
0.522388 0.123220
0.527363 0.127109
0.532338 0.131134
0.537313 0.135305
0.542289 0.139630
0.547264 0.144119
0.552239 0.148782
0.557214 0.153631
0.562189 0.158680
0.567164 0.163943
0.572139 0.169437
0.577114 0.175180
0.582090 0.181194
0.587065 0.187503
0.592040 0.194136
0.597015 0.201124
0.601990 0.208508
0.606965 0.216332
0.611940 0.224652
0.616915 0.233534
0.621891 0.243060
0.626866 0.253336
0.631841 0.264494
0.636816 0.276713
0.641791 0.290236
0.646766 0.305410
0.651741 0.322761
0.656716 0.343152
0.661692 0.368173
0.666667 0.401429
0.671642 0.455837
0.676617 0.709192
0.681592 0.763010
0.686567 0.793086
0.691542 0.814808
0.696517 0.831999
0.701493 0.846278
0.706468 0.858502
0.711443 0.869185
0.716418 0.878661
0.721393 0.887165
0.726368 0.894863
0.731343 0.901882
0.736318 0.908319
0.741294 0.914253
0.746269 0.919743
0.751244 0.924842
0.756219 0.929591
0.761194 0.934025
0.766169 0.938175
0.771144 0.942065
0.776119 0.945719
0.781095 0.949155
0.786070 0.952390
0.791045 0.955440
0.796020 0.958317
0.800995 0.961034
0.805970 0.963601
0.810945 0.966026
0.815920 0.968320
0.820896 0.970490
0.825871 0.972542
0.830846 0.974484
0.835821 0.976321
0.840796 0.978059
0.845771 0.979702
0.850746 0.981255
0.855721 0.982723
0.860697 0.984110
0.865672 0.985418
0.870647 0.986652
0.875622 0.987815
0.880597 0.988909
0.885572 0.989938
0.890547 0.990904
0.895522 0.991809
0.900498 0.992657
0.905473 0.993448
0.910448 0.994185
0.915423 0.994870
0.920398 0.995505
0.925373 0.996092
0.930348 0.996631
0.935323 0.997125
0.940299 0.997575
0.945274 0.997983
0.950249 0.998350
0.955224 0.998676
0.960199 0.998964
0.965174 0.999215
0.970149 0.999428
0.975124 0.999607
0.980100 0.999751
0.985075 0.999861
1.000000 1.000000
1.200000 1.000000
