Files
Fishing2/Assets/ResRaw/gfx/res/Mesh/carp_m_fin.001.asset
2026-02-20 21:03:17 +08:00

2130 lines
65 KiB
Plaintext

%YAML 1.1
%TAG !u! tag:unity3d.com,2011:
--- !u!43 &4300000
Mesh:
serializedVersion: 11
m_ObjectHideFlags: 0
m_CorrespondingSourceObject: {fileID: 0}
m_PrefabInstance: {fileID: 0}
m_PrefabAsset: {fileID: 0}
m_Name: carp_m_fin.001
m_SubMeshes:
- serializedVersion: 2
firstByte: 0
indexCount: 504
topology: 0
baseVertex: 0
firstVertex: 0
vertexCount: 112
localAABB:
m_Center: {x: 0, y: 0.4096303, z: -0.0727115}
m_Extent: {x: 0.003146936, y: 0.045086816, z: 0.041357826}
m_Shapes:
vertices: []
shapes: []
channels: []
fullWeights: []
m_BindPose:
- e00: 1.2993256
e01: -0
e02: -0
e03: 2.31504E-09
e10: -0
e11: 7.9558946E-17
e12: 1.2993256
e13: -0.062108357
e20: -0
e21: -1.2993256
e22: 7.9558946E-17
e23: 0.08807919
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 5.3666465E-08
e01: -1.2986226
e02: 0.042739116
e03: 0.086346716
e10: -0.058376215
e11: 0.042695962
e12: 1.2973114
e13: -0.063991964
e20: -1.2980137
e21: -0.00192024
e22: -0.05834462
e23: 0.0028779514
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -6.234218E-08
e01: -1.2986226
e02: 0.0427395
e03: 0.12101949
e10: -0.058376152
e11: 0.04269635
e12: 1.2973114
e13: -0.06421731
e20: -1.2980138
e21: -0.0019201392
e22: -0.058344558
e23: 0.002877938
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -2.5784556E-07
e01: -1.2986226
e02: 0.042739436
e03: 0.17101951
e10: -0.05837612
e11: 0.042696297
e12: 1.2973115
e13: -0.06421732
e20: -1.2980139
e21: -0.0019199401
e22: -0.05834453
e23: 0.0028779085
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -7.998027E-08
e01: -1.2986226
e02: 0.042739246
e03: 0.22101966
e10: -0.05837612
e11: 0.0426961
e12: 1.2973115
e13: -0.064217284
e20: -1.2980138
e21: -0.0019201093
e22: -0.058344528
e23: 0.0028779276
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -3.6195694E-08
e01: -1.2986227
e02: 0.04273902
e03: 0.2710195
e10: -0.05837616
e11: 0.04269587
e12: 1.2973115
e13: -0.064217255
e20: -1.2980138
e21: -0.0019201441
e22: -0.05834457
e23: 0.002877935
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -3.656498E-08
e01: -1.2986226
e02: 0.042739257
e03: 0.32101935
e10: -0.05837619
e11: 0.042696107
e12: 1.2973115
e13: -0.06421729
e20: -1.2980137
e21: -0.0019201554
e22: -0.0583446
e23: 0.0028779395
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -2.0791887E-07
e01: -1.2986226
e02: 0.042739432
e03: 0.37101948
e10: -0.058376193
e11: 0.04269629
e12: 1.2973117
e13: -0.06421732
e20: -1.2980139
e21: -0.0019199919
e22: -0.058344603
e23: 0.0028778887
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.6886638E-07
e01: -1.2986227
e02: 0.042738948
e03: 0.42509037
e10: -0.05837621
e11: 0.042695805
e12: 1.2973117
e13: -0.06421716
e20: -1.2980139
e21: -0.0019200097
e22: -0.058344617
e23: 0.0028778887
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.6689795E-07
e01: -1.2986227
e02: 0.04273842
e03: 0.47509032
e10: -0.058376156
e11: 0.042695276
e12: 1.2973117
e13: -0.06421697
e20: -1.2980138
e21: -0.0019199862
e22: -0.058344565
e23: 0.0028778713
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -5.9269137E-08
e01: -1.2986227
e02: 0.042739823
e03: 0.52509016
e10: -0.05837619
e11: 0.042696677
e12: 1.2973117
e13: -0.06421752
e20: -1.2980138
e21: -0.0019201576
e22: -0.058344584
e23: 0.0028779341
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -2.3654154E-07
e01: -1.2986226
e02: 0.04274059
e03: 0.57509035
e10: -0.058376186
e11: 0.042697452
e12: 1.2973115
e13: -0.06421786
e20: -1.2980138
e21: -0.0019200153
e22: -0.05834459
e23: 0.002877869
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 4.405955E-08
e01: -1.2986228
e02: 0.042737234
e03: 0.62509066
e10: -0.05837616
e11: 0.042694084
e12: 1.2973118
e13: -0.06421627
e20: -1.2980139
e21: -0.0019201435
e22: -0.058344558
e23: 0.0028779244
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.028914426
e01: -1.1904103
e02: -0.51993763
e03: 0.6049877
e10: -0.030072024
e11: -0.5205405
e12: 1.1901182
e13: 0.18823446
e20: -1.2986559
e21: -0.014450572
e22: -0.039135035
e23: 0.008013022
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.028914746
e01: -1.1904106
e02: -0.5199369
e03: 0.642666
e10: -0.030072084
e11: -0.5205398
e12: 1.1901187
e13: 0.1882342
e20: -1.298656
e21: -0.014450867
e22: -0.039135206
e23: 0.008013174
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.028914494
e01: -1.1904092
e02: -0.51994026
e03: 0.6878276
e10: -0.030072007
e11: -0.52054316
e12: 1.1901172
e13: 0.18823613
e20: -1.298656
e21: -0.014450558
e22: -0.039135076
e23: 0.008012999
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.028914753
e01: -1.19041
e02: -0.51993835
e03: 0.73328316
e10: -0.030072054
e11: -0.5205413
e12: 1.1901182
e13: 0.18823485
e20: -1.298656
e21: -0.014450839
e22: -0.039135195
e23: 0.008013165
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.028915001
e01: -1.190407
e02: -0.519945
e03: 0.7332825
e10: -0.030071989
e11: -0.520548
e12: 1.1901151
e13: 0.14278309
e20: -1.2986561
e21: -0.01445087
e22: -0.039135315
e23: 0.008013196
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -4.8264603E-08
e01: -1.1836483
e02: 0.53593326
e03: 0.56805867
e10: -0.058750205
e11: 0.53538513
e12: 1.1824379
e13: -0.26777512
e20: -1.2979969
e21: -0.024232661
e22: -0.053519752
e23: 0.012120064
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 1.5626571E-07
e01: -1.1834985
e02: 0.53626394
e03: 0.6117306
e10: -0.058750276
e11: 0.5357156
e12: 1.1822883
e13: -0.267946
e20: -1.2979969
e21: -0.02424783
e22: -0.053512953
e23: 0.012127904
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.8111477E-07
e01: -1.1744026
e02: 0.55590135
e03: 0.65152645
e10: -0.058750175
e11: 0.55533284
e12: 1.1732016
e13: -0.2788247
e20: -1.2979966
e21: -0.025135407
e22: -0.053101726
e23: 0.012620122
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 1.2974926
e01: -0.008170275
e02: 0.068510726
e03: 0.006895451
e10: -0.06810869
e11: 0.054601002
e12: 1.2963902
e13: 0.011047916
e20: -0.011030812
e21: -1.2981523
e22: 0.054095693
e23: 0.74285907
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 1.2974925
e01: -0.008170296
e02: 0.06851079
e03: 0.0068954476
e10: -0.068108745
e11: 0.054602984
e12: 1.29639
e13: -0.025980541
e20: -0.01103094
e21: -1.2981523
e22: 0.05409767
e23: 0.7428585
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.3315314E-07
e01: -1.2026645
e02: 0.49177828
e03: 0.49067244
e10: -0.05679745
e11: 0.4913082
e12: 1.2015151
e13: -0.16899697
e20: -1.2980839
e21: -0.021496981
e22: -0.05257213
e23: 0.0074699307
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.0405014E-06
e01: -1.1842431
e02: 0.5346183
e03: 0.49909648
e10: -0.057041682
e11: 0.53410286
e12: 1.1831012
e13: -0.18700816
e20: -1.2980729
e21: -0.023469316
e22: -0.051989853
e23: 0.00829298
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.014652695
e01: -1.2463315
e02: 0.36700258
e03: 0.53361005
e10: -0.05650714
e11: 0.36729002
e12: 1.2450514
e13: -0.115189485
e20: -1.2980137
e21: -0.0019201566
e22: -0.058344413
e23: -0.0009334507
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.014652964
e01: -1.2463298
e02: 0.36700824
e03: 0.53360975
e10: -0.056507062
e11: 0.36729565
e12: 1.2450498
e13: -0.12889998
e20: -1.2980137
e21: -0.00192014
e22: -0.05834441
e23: -0.0009334559
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.04533433
e01: -0.8512839
e02: -0.9805654
e03: 0.427953
e10: -0.036776558
e11: -0.98161083
e12: 0.8504912
e13: 0.32771477
e20: -1.2980139
e21: -0.0019199419
e22: -0.058344062
e23: 0.0057499846
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.04533413
e01: -0.8512822
e02: -0.980567
e03: 0.4483911
e10: -0.03677654
e11: -0.9816124
e12: 0.8504895
e13: 0.3277154
e20: -1.2980137
e21: -0.0019197207
e22: -0.058343902
e23: 0.0057498836
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.045334246
e01: -0.8512832
e02: -0.98056614
e03: 0.46859896
e10: -0.036776505
e11: -0.98161143
e12: 0.8504904
e13: 0.3277154
e20: -1.2980139
e21: -0.0019198768
e22: -0.058343973
e23: 0.0057499427
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.045334402
e01: -0.85128367
e02: -0.98056555
e03: 0.46859887
e10: -0.03677657
e11: -0.9816109
e12: 0.850491
e13: 0.30750787
e20: -1.2980139
e21: -0.0019199703
e22: -0.058344122
e23: 0.005749994
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.045334302
e01: 0.8512828
e02: 0.9805658
e03: -0.42795253
e10: -0.036776505
e11: 0.98161143
e12: -0.8504902
e13: -0.32771513
e20: -1.2980137
e21: 0.0019199192
e22: 0.05834402
e23: -0.0057499777
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.04533432
e01: 0.8512831
e02: 0.98056585
e03: -0.4279529
e10: -0.036776476
e11: 0.9816114
e12: -0.85049045
e13: -0.39024076
e20: -1.2980139
e21: 0.0019199582
e22: 0.05834401
e23: -0.0057499898
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -2.2457743E-07
e01: -1.1155567
e02: 0.6661689
e03: 0.44183832
e10: -0.050649934
e11: 0.6656626
e12: 1.1147088
e13: -0.18462022
e20: -1.2983383
e21: -0.025968203
e22: -0.04348641
e23: 0.0072022225
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -2.4936472E-07
e01: -1.1415111
e02: 0.62064487
e03: 0.48727846
e10: -0.050722994
e11: 0.62017184
e12: 1.1406412
e13: -0.16512063
e20: -1.2983356
e21: -0.024228469
e22: -0.044562347
e23: 0.006450829
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.029033814
e01: -1.1053799
e02: 0.68230516
e03: 0.52157116
e10: -0.050643887
e11: 0.6829199
e12: 1.1042209
e13: -0.19453467
e20: -1.2980137
e21: -0.001920106
e22: -0.058344476
e23: -0.0040763495
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.029033806
e01: -1.10538
e02: 0.6823048
e03: 0.52157134
e10: -0.05064388
e11: 0.6829196
e12: 1.1042211
e13: -0.23884846
e20: -1.2980139
e21: -0.0019200875
e22: -0.058344457
e23: -0.004076355
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.045727894
e01: -0.840663
e02: -0.9896678
e03: 0.38650382
e10: -0.03628622
e11: -0.9907217
e12: 0.83988166
e13: 0.2324204
e20: -1.2980138
e21: -0.0019200081
e22: -0.05834418
e23: 0.007212372
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.045727864
e01: -0.84066415
e02: -0.98966694
e03: 0.4074247
e10: -0.036286186
e11: -0.9907208
e12: 0.83988285
e13: 0.23242025
e20: -1.2980138
e21: -0.0019200796
e22: -0.05834413
e23: 0.0072123813
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.045728154
e01: -0.840665
e02: -0.98966634
e03: 0.4273849
e10: -0.036286213
e11: -0.9907202
e12: 0.8398836
e13: 0.23241988
e20: -1.2980139
e21: -0.0019202931
e22: -0.05834436
e23: 0.007212489
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.04572789
e01: -0.8406665
e02: -0.989665
e03: 0.4273851
e10: -0.03628632
e11: -0.9907189
e12: 0.8398852
e13: 0.21245892
e20: -1.2980138
e21: -0.0019201296
e22: -0.058344234
e23: 0.00721241
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.045728404
e01: 0.8406627
e02: 0.989668
e03: -0.3865038
e10: -0.036286063
e11: 0.990722
e12: -0.83988136
e13: -0.2324205
e20: -1.2980138
e21: 0.0019204404
e22: 0.05834447
e23: -0.0072125504
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.045727696
e01: 0.84066296
e02: 0.989668
e03: -0.38650417
e10: -0.03628607
e11: 0.9907218
e12: -0.83988154
e13: -0.31189772
e20: -1.2980138
e21: 0.0019199837
e22: 0.05834393
e23: -0.0072123464
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.044658545
e01: -0.8689819
e02: -0.9649474
e03: 0.33847177
e10: -0.037594207
e11: -0.9659784
e12: 0.8681704
e13: 0.13031521
e20: -1.2980138
e21: -0.0019200672
e22: -0.05834401
e23: 0.007870907
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.042904843
e01: -0.9119556
e02: -0.9245236
e03: 0.36473545
e10: -0.03958369
e11: -0.9255167
e12: 0.91109824
e13: 0.11438911
e20: -1.2980139
e21: -0.0019198183
e22: -0.058343876
e23: 0.007870827
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.044658266
e01: -0.8689819
e02: -0.9649474
e03: 0.378872
e10: -0.03759431
e11: -0.96597844
e12: 0.8681705
e13: 0.1317316
e20: -1.2980139
e21: -0.0019198089
e22: -0.058343872
e23: 0.007870823
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.044659615
e01: -0.8689761
e02: -0.96495265
e03: 0.37887135
e10: -0.037594363
e11: -0.96598387
e12: 0.86816484
e13: 0.11200542
e20: -1.2980139
e21: -0.0019203221
e22: -0.058344923
e23: 0.007871126
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0020041605
e01: -0.78370905
e02: -1.0363607
e03: 0.29860106
e10: -0.03339049
e11: -1.0359889
e12: 0.78349227
e13: 0.11636645
e20: -1.2988951
e21: 0.027841236
e22: -0.018542029
e23: -0.0035112973
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.8351767E-07
e01: -0.8273673
e02: -1.0018538
e03: 0.34162793
e10: -0.03344141
e11: -1.0015218
e12: 0.8270932
e13: 0.101850204
e20: -1.2988954
e21: 0.025785336
e22: -0.02129423
e23: -0.002622279
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.047875214
e01: -0.77807033
e02: -1.0395008
e03: 0.3796177
e10: -0.033401776
e11: -1.040601
e12: 0.7773556
e13: 0.120475054
e20: -1.2980137
e21: -0.0019201419
e22: -0.058344048
e23: 0.010901429
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.0478754
e01: -0.7780688
e02: -1.0395019
e03: 0.37961757
e10: -0.03340183
e11: -1.0406022
e12: 0.77735406
e13: 0.07692499
e20: -1.2980137
e21: -0.0019201293
e22: -0.058344226
e23: 0.010901457
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.027553927
e01: -0.52561295
e02: 1.1879475
e03: 0.22264117
e10: -0.062821545
e11: 1.1873635
e12: 0.5238975
e13: -0.22209406
e20: -1.2975136
e21: -0.04632653
e22: -0.050592657
e23: 0.03209937
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.017465506
e01: -0.69155717
e02: 1.0998598
e03: 0.28717068
e10: -0.066053115
e11: 1.0990093
e12: 0.6899735
e13: -0.18253398
e20: -1.2975283
e21: -0.046638355
e22: -0.049929157
e23: 0.032247692
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.006834863
e01: -0.82093084
e02: 1.0071119
e03: 0.34064177
e10: -0.0721517
e11: 1.0058113
e12: 0.8193811
e13: -0.1417398
e20: -1.2973032
e21: -0.051614817
e22: -0.050877254
e23: 0.03336608
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0068353144
e01: -0.82093054
e02: 1.0071115
e03: 0.3723762
e10: -0.07215167
e11: 1.0058112
e12: 0.8193808
e13: -0.14173958
e20: -1.2973027
e21: -0.051614515
e22: -0.050877586
e23: 0.033365916
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0068347063
e01: -0.8209368
e02: 1.0071068
e03: 0.37237734
e10: -0.07215124
e11: 1.0058063
e12: 0.819387
e13: -0.17347167
e20: -1.297303
e21: -0.051614266
e22: -0.050877158
e23: 0.033365916
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.027554218
e01: 0.52561647
e02: -1.1879458
e03: -0.22264189
e10: -0.06282103
e11: -1.1873622
e12: -0.523901
e13: 0.22209343
e20: -1.2975136
e21: 0.046325803
e22: 0.05059285
e23: -0.03209919
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.017465724
e01: 0.6915568
e02: -1.09986
e03: -0.28717065
e10: -0.06605298
e11: -1.0990094
e12: -0.6899731
e13: 0.18253385
e20: -1.2975283
e21: 0.04663815
e22: 0.04992927
e23: -0.032247603
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0068349214
e01: 0.8209311
e02: -1.0071113
e03: -0.34064183
e10: -0.07215177
e11: -1.0058109
e12: -0.81938136
e13: 0.1417395
e20: -1.297303
e21: 0.05161482
e22: 0.05087737
e23: -0.033366043
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0068347408
e01: 0.82093114
e02: -1.0071112
e03: -0.37237635
e10: -0.07215191
e11: -1.0058107
e12: -0.8193814
e13: 0.14173943
e20: -1.297303
e21: 0.05161503
e22: 0.050877318
e23: -0.03336611
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0068344707
e01: 0.82092774
e02: -1.007114
e03: -0.37237594
e10: -0.07215139
e11: -1.0058134
e12: -0.819378
e13: 0.110006414
e20: -1.297303
e21: 0.05161498
e22: 0.050876617
e23: -0.033366214
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.2452914
e01: -0.30811992
e02: 0.20629859
e03: 0.09257422
e10: 0.14391339
e11: 0.26461327
e12: 1.263929
e13: -0.0058450554
e20: -0.34173954
e21: 1.234216
e22: -0.21948156
e23: -0.13969928
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.2452914
e01: -0.30811945
e02: 0.20629811
e03: 0.14185928
e10: 0.14391318
e11: 0.26461264
e12: 1.2639288
e13: -0.005845063
e20: -0.34173894
e21: 1.234216
e22: -0.21948107
e23: -0.13969934
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.2452915
e01: -0.30811957
e02: 0.2062984
e03: 0.18194073
e10: 0.14391331
e11: 0.2646133
e12: 1.263929
e13: -0.005845135
e20: -0.34173915
e21: 1.2342162
e22: -0.21948162
e23: -0.13969934
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.2452914
e01: -0.30811968
e02: 0.20629814
e03: 0.21605653
e10: 0.14391306
e11: 0.26461312
e12: 1.263929
e13: -0.0058450634
e20: -0.3417392
e21: 1.2342162
e22: -0.21948151
e23: -0.13969938
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.2452917
e01: -0.30811623
e02: 0.20630108
e03: 0.2160561
e10: 0.1439166
e11: 0.26461318
e12: 1.2639285
e13: -0.039961398
e20: -0.34173635
e21: 1.2342168
e22: -0.2194812
e23: -0.13969985
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.2453008
e01: 0.3081185
e02: -0.20630093
e03: -0.09257452
e10: 0.14391497
e11: -0.26461348
e12: -1.2639289
e13: 0.005845125
e20: -0.3417366
e21: -1.2342182
e22: 0.21948208
e23: 0.13969967
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.2453017
e01: 0.30811402
e02: -0.2063001
e03: -0.14185923
e10: 0.14391507
e11: -0.2646131
e12: -1.263929
e13: 0.005845172
e20: -0.34173205
e21: -1.2342192
e22: 0.21948239
e23: 0.13970031
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.2453005
e01: 0.3081186
e02: -0.2063018
e03: -0.18194127
e10: 0.14391556
e11: -0.26461458
e12: -1.2639288
e13: 0.0058454927
e20: -0.34173694
e21: -1.2342178
e22: 0.21948288
e23: 0.13969988
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.245301
e01: 0.30811778
e02: -0.2063011
e03: -0.21605714
e10: 0.14391509
e11: -0.26461414
e12: -1.2639289
e13: 0.005845382
e20: -0.34173596
e21: -1.2342182
e22: 0.21948278
e23: 0.13970007
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.2453023
e01: 0.30811486
e02: -0.20629728
e03: -0.21605667
e10: 0.14391217
e11: -0.2646125
e12: -1.2639294
e13: -0.028271098
e20: -0.34173223
e21: -1.2342191
e22: 0.21948253
e23: 0.13970065
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.034497783
e01: -1.2940819
e02: 0.111395404
e03: 0.080668695
e10: -0.060265236
e11: 0.10971995
e12: 1.2932817
e13: -0.02405144
e20: -1.2974688
e21: -0.039504044
e22: -0.057108898
e23: 0.052636597
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.413645
e01: -1.2315447
e02: 0.02103378
e03: 0.15356556
e10: -0.0583751
e11: 0.04176427
e12: 1.297342
e13: -0.01651525
e20: -1.2303406
e21: 0.41206843
e22: -0.0686257
e23: -0.0005305725
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.41364506
e01: -1.2315447
e02: 0.021034792
e03: 0.15356554
e10: -0.058374774
e11: 0.041765224
e12: 1.297342
e13: -0.079047
e20: -1.2303406
e21: 0.41206837
e22: -0.06862568
e23: -0.0005305708
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0010609488
e01: 1.2991842
e02: -0.019159744
e03: -0.009102799
e10: -0.058365922
e11: 0.019092768
e12: 1.2978746
e13: 0.027791087
e20: 1.2980138
e21: 0.0019204215
e22: 0.058343936
e23: 0.0012422019
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0007472569
e01: 1.2990628
e02: -0.026126673
e03: 0.020692902
e10: -0.058370773
e11: 0.026066756
e12: 1.297753
e13: 0.027902598
e20: 1.2980137
e21: 0.0019200633
e22: 0.058343936
e23: 0.0012422033
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0007472562
e01: 1.2990628
e02: -0.026126688
e03: 0.020692904
e10: -0.05837078
e11: 0.026066773
e12: 1.2977531
e13: -0.0020426556
e20: 1.2980138
e21: 0.0019200634
e22: 0.05834394
e23: 0.0012422063
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 6.827082E-08
e01: 1.2973446
e02: 0.07172676
e03: -0.002571921
e10: -0.0570697
e11: -0.071657516
e12: 1.2960923
e13: 0.039251298
e20: 1.298072
e21: -0.0031504908
e22: 0.056982692
e23: 0.0017256882
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.016994642
e01: 1.2548016
e02: 0.336796
e03: 0.04241468
e10: -0.055847205
e11: -0.3372189
e12: 1.2535595
e13: 0.031185465
e20: 1.2980138
e21: 0.0019199823
e22: 0.058344185
e23: 0.0018970966
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.01699462
e01: 1.2548018
e02: 0.33679593
e03: 0.04241465
e10: -0.055847187
e11: -0.33721885
e12: 1.2535595
e13: -0.0064791935
e20: 1.2980138
e21: 0.0019199664
e22: 0.05834416
e23: 0.001897095
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6514855
e01: -0.8701467
e02: 0.7117997
e03: -0.010029832
e10: -1.0418787
e11: 0.15832868
e12: -0.76004493
e13: 0.021365123
e20: 0.42225918
e21: -0.951853
e22: -0.7771231
e23: -0.03428014
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6514859
e01: -0.8701469
e02: 0.71179926
e03: 0.0070071984
e10: -1.0418782
e11: 0.1583286
e12: -0.76004577
e13: 0.021365104
e20: 0.42225984
e21: -0.95185286
e22: -0.777123
e23: -0.034280088
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.65148604
e01: -0.8701466
e02: 0.7117994
e03: 0.007007204
e10: -1.0418781
e11: 0.15832815
e12: -0.7600461
e13: 0.00069858035
e20: 0.4222602
e21: -0.95185333
e22: -0.7771223
e23: -0.03428009
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6337292
e01: -0.4900212
e02: 1.0229925
e03: 0.0043957457
e10: -1.1185147
e11: 0.46477413
e12: -0.47027355
e13: 0.033430867
e20: -0.18857202
e21: -1.1100053
e22: -0.6485187
e23: -0.013955246
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6337288
e01: -0.4900218
e02: 1.0229926
e03: 0.01827481
e10: -1.1185149
e11: 0.46477428
e12: -0.47027287
e13: 0.033430863
e20: -0.18857218
e21: -1.1100049
e22: -0.64851916
e23: -0.013955241
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6337289
e01: -0.49002215
e02: 1.0229924
e03: 0.018274805
e10: -1.1185151
e11: 0.46477425
e12: -0.4702729
e13: 0.01955178
e20: -0.18857194
e21: -1.1100048
e22: -0.6485194
e23: -0.013955251
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.159705
e01: -0.21750438
e02: 1.2709973
e03: 0.022636345
e10: -1.2784365
e11: 0.1939142
e12: -0.12745547
e13: 0.03454309
e20: -0.16835058
e21: -1.2662294
e22: -0.23784226
e23: -0.011664939
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.15970434
e01: -0.21750477
e02: 1.2709973
e03: 0.044354796
e10: -1.2784368
e11: 0.19391325
e12: -0.12745495
e13: 0.034543104
e20: -0.16834968
e21: -1.2662295
e22: -0.23784246
e23: -0.011664971
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.15970525
e01: -0.21750456
e02: 1.2709973
e03: 0.044354808
e10: -1.2784368
e11: 0.19391452
e12: -0.12745565
e13: 0.012824659
e20: -0.16835082
e21: -1.2662294
e22: -0.2378425
e23: -0.011664953
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.15369436
e01: 0.41102782
e02: 1.2229807
e03: 0.015654663
e10: 0.29991296
e11: -1.1865085
e12: 0.43646064
e13: -0.03560923
e20: 1.2548615
e21: 0.3339187
e22: 0.045475174
e23: 0.0023367663
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.0036101
e01: -0.7396916
e02: 0.36588332
e03: -0.012890519
e10: 0.674113
e11: -0.40254605
e12: 1.0352662
e13: -0.007068018
e20: -0.4760106
e21: 0.989475
e22: 0.6946949
e23: 0.042055663
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.8914875
e01: -0.8511225
e02: 0.4112026
e03: 0.010830421
e10: 0.77056664
e11: -0.3269994
e12: 0.9937533
e13: -0.008518812
e20: -0.5474708
e21: 0.9256939
e22: 0.72911865
e23: 0.043035444
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.89148766
e01: -0.8511224
e02: 0.41120294
e03: 0.010830445
e10: 0.7705665
e11: -0.32699907
e12: 0.9937535
e13: -0.03635194
e20: -0.54747087
e21: 0.9256943
e22: 0.7291184
e23: 0.043035455
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.034444652
e01: 1.2940743
e02: -0.111390404
e03: -0.08067028
e10: -0.060609285
e11: -0.10970763
e12: -1.2932664
e13: 0.0240374
e20: -1.2974248
e21: 0.039479416
e22: 0.057455126
e23: -0.05263849
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.4137146
e01: 1.2314972
e02: -0.021029782
e03: -0.15356088
e10: -0.05839108
e11: -0.041770324
e12: -1.297341
e13: 0.016515447
e20: -1.2302983
e21: -0.41213962
e22: 0.06864321
e23: 0.00053925556
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.41372463
e01: 1.231494
e02: -0.021031864
e03: -0.15356088
e10: -0.05839051
e11: -0.04177292
e12: -1.2973411
e13: -0.046015896
e20: -1.2302951
e21: -0.41214958
e22: 0.06864367
e23: 0.0005412726
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.65148526
e01: 0.8701471
e02: -0.7117996
e03: 0.010029892
e10: -1.0418775
e11: -0.15832515
e12: 0.7600478
e13: -0.021365022
e20: 0.42226318
e21: 0.9518534
e22: 0.77712065
e23: 0.034280255
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6514861
e01: 0.87014705
e02: -0.7117989
e03: -0.007007175
e10: -1.0418782
e11: -0.15832861
e12: 0.7600465
e13: -0.02136513
e20: 0.42226037
e21: 0.951853
e22: 0.77712303
e23: 0.034280084
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.65148646
e01: 0.87014604
e02: -0.7117996
e03: -0.007007207
e10: -1.0418782
e11: -0.15832844
e12: 0.7600463
e13: -0.042031642
e20: 0.4222598
e21: 0.95185363
e22: 0.77712214
e23: 0.034280084
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6337291
e01: 0.49002117
e02: -1.0229928
e03: -0.0043957247
e10: -1.1185154
e11: -0.4647745
e12: 0.47027338
e13: -0.033430915
e20: -0.18857242
e21: 1.1100054
e22: 0.64851856
e23: 0.013955229
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6337285
e01: 0.49002126
e02: -1.0229928
e03: -0.018274806
e10: -1.1185154
e11: -0.46477425
e12: 0.47027287
e13: -0.0334309
e20: -0.18857244
e21: 1.1100053
e22: 0.6485186
e23: 0.013955238
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6337295
e01: 0.490021
e02: -1.0229924
e03: -0.018274844
e10: -1.1185149
e11: -0.4647749
e12: 0.47027364
e13: -0.047309972
e20: -0.18857256
e21: 1.1100051
e22: 0.64851856
e23: 0.013955232
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.15970472
e01: 0.21750401
e02: -1.2709976
e03: -0.022636307
e10: -1.2784369
e11: -0.19391347
e12: 0.12745538
e13: -0.034543116
e20: -0.16834989
e21: 1.2662295
e22: 0.23784174
e23: 0.011664952
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.15970466
e01: 0.2175039
e02: -1.2709976
e03: -0.04435474
e10: -1.2784368
e11: -0.19391368
e12: 0.12745528
e13: -0.034543134
e20: -0.16835013
e21: 1.2662294
e22: 0.23784164
e23: 0.011664945
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.15970464
e01: 0.21750422
e02: -1.2709976
e03: -0.04435474
e10: -1.2784368
e11: -0.19391318
e12: 0.12745532
e13: -0.05626155
e20: -0.1683496
e21: 1.2662294
e22: 0.2378419
e23: 0.011664981
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.15369533
e01: -0.41102976
e02: -1.2229801
e03: -0.015654756
e10: 0.29990983
e11: 1.1865085
e12: -0.43646255
e13: 0.035609223
e20: 1.2548624
e21: -0.33391616
e22: -0.045476615
e23: -0.002336692
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.0036108
e01: 0.73968965
e02: -0.36588472
e03: 0.012890462
e10: 0.67411333
e11: 0.40254644
e12: -1.0352662
e13: 0.0070680794
e20: -0.47600836
e21: -0.98947626
e22: -0.6946945
e23: -0.04205572
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.89148825
e01: 0.851122
e02: -0.41120288
e03: -0.010830418
e10: 0.77056664
e11: 0.3269998
e12: -0.9937538
e13: 0.008518843
e20: -0.5474703
e21: -0.9256944
e22: -0.7291185
e23: -0.043035466
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.89148897
e01: 0.8511215
e02: -0.41120255
e03: -0.010830424
e10: 0.77056617
e11: 0.32700047
e12: -0.99375397
e13: -0.019314332
e20: -0.54746974
e21: -0.92569464
e22: -0.72911835
e23: -0.04303546
e30: 0
e31: 0
e32: 0
e33: 1
m_BoneNameHashes: 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
m_RootBoneNameHash: 1572040346
m_BonesAABB:
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: -0.08471143, y: -0.11302667, z: 0.00041542086}
m_Max: {x: -0.050434828, y: -0.09743554, z: 0.008816121}
- m_Min: {x: -0.08133441, y: -0.12634048, z: 0.00033286563}
m_Max: {x: -0.0004348457, y: -0.08726336, z: 0.009014064}
- m_Min: {x: -0.06737661, y: -0.12194255, z: 0.00036890223}
m_Max: {x: 0.0043617487, y: -0.09342707, z: 0.008029817}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: -0.084119886, y: -0.093358174, z: -0.0032217614}
m_Max: {x: 0.015929371, y: -0.0007145256, z: 0.005779119}
- m_Min: {x: -0.07703617, y: -0.093524605, z: -0.0032194424}
m_Max: {x: 0.005043775, y: 0.0015785396, z: 0.005747337}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: -0.111810625, y: -0.028951675, z: -0.0056090844}
m_Max: {x: 0.002113402, y: 0.065447375, z: 0.0034267157}
- m_Min: {x: -0.07904023, y: -0.031202972, z: -0.004415227}
m_Max: {x: 0.021780968, y: 0.064551115, z: 0.0032169567}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
m_VariableBoneCountWeights:
m_Data:
m_MeshCompression: 0
m_IsReadable: 0
m_KeepVertices: 0
m_KeepIndices: 0
m_IndexFormat: 0
m_IndexBuffer: 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
m_VertexData:
serializedVersion: 3
m_VertexCount: 112
m_Channels:
- stream: 0
offset: 0
format: 0
dimension: 3
- stream: 0
offset: 12
format: 0
dimension: 3
- stream: 0
offset: 24
format: 0
dimension: 4
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 1
offset: 0
format: 1
dimension: 2
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 2
offset: 0
format: 0
dimension: 4
- stream: 2
offset: 16
format: 10
dimension: 4
m_DataSize: 8512
_typelessdata: 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
m_CompressedMesh:
m_Vertices:
m_NumItems: 0
m_Range: 0
m_Start: 0
m_Data:
m_BitSize: 0
m_UV:
m_NumItems: 0
m_Range: 0
m_Start: 0
m_Data:
m_BitSize: 0
m_Normals:
m_NumItems: 0
m_Range: 0
m_Start: 0
m_Data:
m_BitSize: 0
m_Tangents:
m_NumItems: 0
m_Range: 0
m_Start: 0
m_Data:
m_BitSize: 0
m_Weights:
m_NumItems: 0
m_Data:
m_BitSize: 0
m_NormalSigns:
m_NumItems: 0
m_Data:
m_BitSize: 0
m_TangentSigns:
m_NumItems: 0
m_Data:
m_BitSize: 0
m_FloatColors:
m_NumItems: 0
m_Range: 0
m_Start: 0
m_Data:
m_BitSize: 0
m_BoneIndices:
m_NumItems: 0
m_Data:
m_BitSize: 0
m_Triangles:
m_NumItems: 0
m_Data:
m_BitSize: 0
m_UVInfo: 0
m_LocalAABB:
m_Center: {x: 0, y: 0.4096303, z: -0.0727115}
m_Extent: {x: 0.003146936, y: 0.045086816, z: 0.041357826}
m_MeshUsageFlags: 1
m_CookingOptions: 30
m_BakedConvexCollisionMesh:
m_BakedTriangleCollisionMesh:
m_MeshMetrics[0]: 1
m_MeshMetrics[1]: 1
m_MeshOptimizationFlags: -1
m_StreamData:
serializedVersion: 2
offset: 0
size: 0
path: