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:
  0.000000: 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('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('0x1.999999999999ap-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)])
-----
-0.200000 0.000000
0.000000 0.000000
0.004975 0.000013
0.009950 0.000052
0.014925 0.000118
0.019900 0.000211
0.024876 0.000332
0.029851 0.000481
0.034826 0.000659
0.039801 0.000866
0.044776 0.001103
0.049751 0.001371
0.054726 0.001669
0.059701 0.001999
0.064677 0.002362
0.069652 0.002757
0.074627 0.003186
0.079602 0.003650
0.084577 0.004148
0.089552 0.004682
0.094527 0.005253
0.099502 0.005862
0.104478 0.006508
0.109453 0.007194
0.114428 0.007919
0.119403 0.008686
0.124378 0.009494
0.129353 0.010345
0.134328 0.011240
0.139303 0.012180
0.144279 0.013166
0.149254 0.014199
0.154229 0.015281
0.159204 0.016411
0.164179 0.017594
0.169154 0.018828
0.174129 0.020116
0.179104 0.021459
0.184080 0.022859
0.189055 0.024317
0.194030 0.025835
0.199005 0.027415
0.203980 0.029058
0.208955 0.030766
0.213930 0.032543
0.218905 0.034388
0.223881 0.036305
0.228856 0.038297
0.233831 0.040364
0.238806 0.042511
0.243781 0.044739
0.248756 0.047052
0.253731 0.049453
0.258706 0.051944
0.263682 0.054529
0.268657 0.057211
0.273632 0.059995
0.278607 0.062884
0.283582 0.065883
0.288557 0.068995
0.293532 0.072226
0.298507 0.075581
0.303483 0.079065
0.308458 0.082684
0.313433 0.086444
0.318408 0.090351
0.323383 0.094414
0.328358 0.098639
0.333333 0.103035
0.338308 0.107610
0.343284 0.112375
0.348259 0.117340
0.353234 0.122515
0.358209 0.127914
0.363184 0.133549
0.368159 0.139436
0.373134 0.145590
0.378109 0.152030
0.383085 0.158773
0.388060 0.165843
0.393035 0.173261
0.398010 0.181055
0.402985 0.189254
0.407960 0.197889
0.412935 0.206996
0.417910 0.216616
0.422886 0.226794
0.427861 0.237579
0.432836 0.249028
0.437811 0.261204
0.442786 0.274174
0.447761 0.288014
0.452736 0.302806
0.457711 0.318635
0.462687 0.335586
0.467662 0.353737
0.472637 0.373149
0.477612 0.393847
0.482587 0.415801
0.487562 0.438900
0.492537 0.462929
0.497512 0.487571
0.502488 0.512429
0.507463 0.537071
0.512438 0.561100
0.517413 0.584199
0.522388 0.606153
0.527363 0.626851
0.532338 0.646263
0.537313 0.664414
0.542289 0.681365
0.547264 0.697194
0.552239 0.711986
0.557214 0.725826
0.562189 0.738796
0.567164 0.750972
0.572139 0.762421
0.577114 0.773206
0.582090 0.783384
0.587065 0.793004
0.592040 0.802111
0.597015 0.810746
0.601990 0.818945
0.606965 0.826739
0.611940 0.834157
0.616915 0.841227
0.621891 0.847970
0.626866 0.854410
0.631841 0.860564
0.636816 0.866451
0.641791 0.872086
0.646766 0.877485
0.651741 0.882660
0.656716 0.887625
0.661692 0.892390
0.666667 0.896965
0.671642 0.901361
0.676617 0.905586
0.681592 0.909649
0.686567 0.913556
0.691542 0.917316
0.696517 0.920935
0.701493 0.924419
0.706468 0.927774
0.711443 0.931005
0.716418 0.934117
0.721393 0.937116
0.726368 0.940005
0.731343 0.942789
0.736318 0.945471
0.741294 0.948056
0.746269 0.950547
0.751244 0.952948
0.756219 0.955261
0.761194 0.957489
0.766169 0.959636
0.771144 0.961703
0.776119 0.963695
0.781095 0.965612
0.786070 0.967457
0.791045 0.969234
0.796020 0.970942
0.800995 0.972585
0.805970 0.974165
0.810945 0.975683
0.815920 0.977141
0.820896 0.978541
0.825871 0.979884
0.830846 0.981172
0.835821 0.982406
0.840796 0.983589
0.845771 0.984719
0.850746 0.985801
0.855721 0.986834
0.860697 0.987820
0.865672 0.988760
0.870647 0.989655
0.875622 0.990506
0.880597 0.991314
0.885572 0.992081
0.890547 0.992806
0.895522 0.993492
0.900498 0.994138
0.905473 0.994747
0.910448 0.995318
0.915423 0.995852
0.920398 0.996350
0.925373 0.996814
0.930348 0.997243
0.935323 0.997638
0.940299 0.998001
0.945274 0.998331
0.950249 0.998629
0.955224 0.998897
0.960199 0.999134
0.965174 0.999341
0.970149 0.999519
0.975124 0.999668
0.980100 0.999789
0.985075 0.999882
1.000000 1.000000
1.200000 1.000000
