TsRegressionPreventer::SetResult:
  adjusted: false
  havePreSegment: false
  preActiveAdjusted: false
  preActiveAdjustedWidth: 0.000000
  preOppositeAdjusted: false
  preOppositeAdjustedWidth: 0.000000
  havePostSegment: true
  postActiveAdjusted: false
  postActiveAdjustedWidth: 1.300000
  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 1.300000, 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('0x1.4cccccccccccdp+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('0x1.999999999999ap-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 0.000180
0.034826 0.000246
0.039801 0.000322
0.044776 0.000410
0.049751 0.000508
0.054726 0.000617
0.059701 0.000738
0.064677 0.000869
0.069652 0.001012
0.074627 0.001167
0.079602 0.001333
0.084577 0.001512
0.089552 0.001702
0.094527 0.001905
0.099502 0.002119
0.104478 0.002347
0.109453 0.002587
0.114428 0.002840
0.119403 0.003106
0.124378 0.003386
0.129353 0.003678
0.134328 0.003985
0.139303 0.004305
0.144279 0.004639
0.149254 0.004988
0.154229 0.005351
0.159204 0.005728
0.164179 0.006121
0.169154 0.006528
0.174129 0.006951
0.179104 0.007390
0.184080 0.007844
0.189055 0.008315
0.194030 0.008801
0.199005 0.009305
0.203980 0.009825
0.208955 0.010362
0.213930 0.010917
0.218905 0.011489
0.223881 0.012080
0.228856 0.012689
0.233831 0.013316
0.238806 0.013963
0.243781 0.014628
0.248756 0.015314
0.253731 0.016019
0.258706 0.016745
0.263682 0.017492
0.268657 0.018260
0.273632 0.019049
0.278607 0.019860
0.283582 0.020694
0.288557 0.021551
0.293532 0.022430
0.298507 0.023334
0.303483 0.024262
0.308458 0.025215
0.313433 0.026193
0.318408 0.027196
0.323383 0.028227
0.328358 0.029284
0.333333 0.030368
0.338308 0.031481
0.343284 0.032623
0.348259 0.033794
0.353234 0.034995
0.358209 0.036228
0.363184 0.037491
0.368159 0.038788
0.373134 0.040117
0.378109 0.041481
0.383085 0.042879
0.388060 0.044314
0.393035 0.045785
0.398010 0.047294
0.402985 0.048842
0.407960 0.050430
0.412935 0.052058
0.417910 0.053730
0.422886 0.055444
0.427861 0.057204
0.432836 0.059009
0.437811 0.060863
0.442786 0.062765
0.447761 0.064718
0.452736 0.066724
0.457711 0.068783
0.462687 0.070899
0.467662 0.073073
0.472637 0.075307
0.477612 0.077604
0.482587 0.079965
0.487562 0.082393
0.492537 0.084892
0.497512 0.087463
0.502488 0.090110
0.507463 0.092836
0.512438 0.095644
0.517413 0.098539
0.522388 0.101524
0.527363 0.104604
0.532338 0.107783
0.537313 0.111066
0.542289 0.114460
0.547264 0.117969
0.552239 0.121601
0.557214 0.125362
0.562189 0.129261
0.567164 0.133306
0.572139 0.137506
0.577114 0.141873
0.582090 0.146419
0.587065 0.151156
0.592040 0.156100
0.597015 0.161268
0.601990 0.166679
0.606965 0.172356
0.611940 0.178324
0.616915 0.184615
0.621891 0.191264
0.626866 0.198314
0.631841 0.205817
0.636816 0.213837
0.641791 0.222453
0.646766 0.231769
0.651741 0.241918
0.656716 0.253082
0.661692 0.265519
0.666667 0.279615
0.671642 0.295992
0.676617 0.315778
0.681592 0.814500
0.686567 0.835369
0.691542 0.851164
0.696517 0.864013
0.701493 0.874887
0.706468 0.884327
0.711443 0.892667
0.716418 0.900130
0.721393 0.906876
0.726368 0.913022
0.731343 0.918655
0.736318 0.923846
0.741294 0.928651
0.746269 0.933113
0.751244 0.937271
0.756219 0.941155
0.761194 0.944791
0.766169 0.948203
0.771144 0.951410
0.776119 0.954427
0.781095 0.957271
0.786070 0.959953
0.791045 0.962486
0.796020 0.964880
0.800995 0.967143
0.805970 0.969284
0.810945 0.971311
0.815920 0.973230
0.820896 0.975047
0.825871 0.976768
0.830846 0.978398
0.835821 0.979942
0.840796 0.981404
0.845771 0.982787
0.850746 0.984097
0.855721 0.985335
0.860697 0.986505
0.865672 0.987611
0.870647 0.988654
0.875622 0.989638
0.880597 0.990565
0.885572 0.991436
0.890547 0.992255
0.895522 0.993024
0.900498 0.993743
0.905473 0.994415
0.910448 0.995042
0.915423 0.995624
0.920398 0.996165
0.925373 0.996664
0.930348 0.997124
0.935323 0.997545
0.940299 0.997929
0.945274 0.998276
0.950249 0.998589
0.955224 0.998868
0.960199 0.999114
0.965174 0.999328
0.970149 0.999511
0.975124 0.999663
0.980100 0.999786
0.985075 0.999881
1.000000 1.000000
1.200000 1.000000
