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Update sample

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  1. sample +112 -96
sample CHANGED
@@ -1,98 +1,114 @@
1
- Training label counts (557 samples):
2
- - class 0: 6637
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- - class 1: 4027
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- - class 2: 926
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- - class 3: 544
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- - class 4: 1966
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- - class 5: 2427
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- - class 6: 750
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- Totals:
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- - N = 17277
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- - C = 7
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- Formula (inverse-frequency, mean-normalized):
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- 1) Raw weight: w_i_raw = N / (C * count_i)
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- 2) Normalize: w_i = w_i_raw / mean(w_raw)
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-
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- Computed weights (class 0..6):
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- [0.189313, 0.312012, 1.356881, 2.309691, 0.639101, 0.517706, 1.675296]
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-
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-
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-
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-
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-
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-
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- ### Check No of faces
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-
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- # compare_step_faces.py
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- from OCC.Core.STEPControl import STEPControl_Reader
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- from OCC.Core.IFSelect import IFSelect_RetDone
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- from OCC.Core.TopExp import TopExp_Explorer
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- from OCC.Core.TopAbs import TopAbs_FACE
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- from OCC.Core.TopoDS import topods
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-
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- try:
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- # pythonocc (common) helper
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- from OCC.Extend.TopologyUtils import TopologyExplorer
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- except Exception as e:
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- TopologyExplorer = None
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-
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- from occwl.io import load_step
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-
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-
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- def _load_shape_stepcontrol(step_path: str):
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- reader = STEPControl_Reader()
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- status = reader.ReadFile(step_path)
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- if status != IFSelect_RetDone:
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- raise RuntimeError(f"STEP read failed: status={status}")
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- reader.TransferRoots()
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- shape = reader.OneShape()
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- return shape
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-
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-
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- def count_faces_method1(step_path: str) -> int:
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- if TopologyExplorer is None:
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- raise RuntimeError("TopologyExplorer not available. Check pythonocc installation.")
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- shape = _load_shape_stepcontrol(step_path)
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- top_exp = TopologyExplorer(shape, ignore_orientation=True)
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- faces = [f for f in top_exp.faces()]
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- return len(faces)
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-
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-
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- def count_faces_method2(step_path: str) -> int:
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- shape = _load_shape_stepcontrol(step_path)
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- explorer = TopExp_Explorer(shape, TopAbs_FACE)
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- count = 0
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- while explorer.More():
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- _face = topods.Face(explorer.Current())
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- count += 1
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- explorer.Next()
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- return count
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-
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-
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- def count_faces_method3(step_path: str) -> int:
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- solids = load_step(step_path)
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- if len(solids) != 1:
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- raise RuntimeError(f"Expected 1 solid, got {len(solids)}")
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- solid = solids[0]
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- faces = [f for f in solid.faces()]
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- return len(faces)
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-
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-
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- def compare_counts(step_path: str):
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- m1 = count_faces_method1(step_path)
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- m2 = count_faces_method2(step_path)
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- m3 = count_faces_method3(step_path)
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-
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- print(f"Method 1 (TopologyExplorer): {m1}")
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- print(f"Method 2 (TopExp_Explorer): {m2}")
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- print(f"Method 3 (occwl load_step): {m3}")
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-
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- all_same = (m1 == m2 == m3)
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- print(f"All methods match: {all_same}")
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-
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-
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- if __name__ == "__main__":
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- step_path = r"C:\Users\FCI\Desktop\0m-3623639.stp"
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- compare_counts(step_path)
 
1
+ train accuracy
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+
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+
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+ Testing DataLoader 0: 100% 590/590 [00:18<00:00, 32.52it/s]num_classes: 7
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+ per_face_accuracy: 0.5899062178131945
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+ class_1_acc: 0.5705482698688576
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+ class_2_acc: 0.9057858567945023
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+ class_3_acc: 0.33861834654586637
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+ class_4_acc: 0.3665283540802213
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+ class_5_acc: 0.4549301735082522
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+ class_6_acc: 0.4173469387755102
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+ class_7_acc: 0.45702005730659023
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+ per_class_accuracy: 0.5015397138399714
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+ IoU: 0.33042782010594945
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+
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+
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+
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+
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+
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+
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+
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+
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+
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+ test_accuracy
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+
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+
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+
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+ Testing DataLoader 0: 100% 72/72 [00:03<00:00, 18.58it/s]num_classes: 7
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+ per_face_accuracy: 0.5375796178343949
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+ class_1_acc: 0.5367647058823529
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+ class_2_acc: 0.9249146757679181
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+ class_3_acc: 0.09885931558935361
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+ class_4_acc: 0.29896907216494845
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+ class_5_acc: 0.36097560975609755
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+ class_6_acc: 0.384
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+ class_7_acc: 0.4420289855072464
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+ per_class_accuracy: 0.43521605209541675
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+ IoU: 0.2786472821122044
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+ per_file_accuracy:
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+ file_id_691: 0.46153849363327026
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+ file_id_679: 0.7272727489471436
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+ file_id_719: 0.25
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+ file_id_666: 0.4399999976158142
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+ file_id_696: 0.4166666865348816
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+ file_id_675: 0.3055555522441864
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+ file_id_706: 0.6341463327407837
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+ file_id_723: 0.7045454978942871
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+ file_id_699: 0.884615421295166
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+ file_id_710: 0.5
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+ file_id_731: 0.6666666865348816
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+ file_id_707: 0.6666666865348816
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+ file_id_672: 0.6875
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+ file_id_727: 0.5
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+ file_id_703: 0.52173912525177
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+ file_id_716: 0.41999998688697815
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+ file_id_717: 0.9677419066429138
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+ file_id_704: 0.9259259104728699
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+ file_id_700: 0.8333333730697632
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+ file_id_724: 0.4000000059604645
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+ file_id_729: 0.75
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+ file_id_725: 0.71875
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+ file_id_713: 0.5
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+ file_id_730: 0.75
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+ file_id_684: 0.5333333611488342
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+ file_id_690: 0.7058823704719543
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+ file_id_728: 0.04838709533214569
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+ file_id_732: 0.9166666865348816
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+ file_id_698: 0.6666666865348816
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+ file_id_674: 0.6315789222717285
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+ file_id_726: 0.8076923489570618
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+ file_id_693: 0.5
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+ file_id_662: 0.9166666865348816
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+ file_id_677: 0.78125
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+ file_id_692: 0.6666666865348816
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+ file_id_708: 0.6363636255264282
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+ file_id_686: 0.575757622718811
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+ file_id_685: 0.7692307829856873
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+ file_id_667: 0.31481480598449707
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+ file_id_701: 0.375
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+ file_id_715: 0.5909091234207153
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+ file_id_733: 0.20370370149612427
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+ file_id_712: 0.4523809552192688
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+ file_id_678: 0.6666666865348816
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+ file_id_689: 0.6000000238418579
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+ file_id_670: 1.0
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+ file_id_687: 0.7333333492279053
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+ file_id_711: 0.3658536374568939
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+ file_id_681: 0.45000001788139343
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+ file_id_668: 0.8636363744735718
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+ file_id_694: 0.28125
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+ file_id_671: 0.944444477558136
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+ file_id_714: 0.699999988079071
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+ file_id_722: 0.6363636255264282
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+ file_id_669: 0.523809552192688
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+ file_id_709: 0.21052631735801697
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+ file_id_688: 0.28947368264198303
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+ file_id_683: 0.65625
98
+ file_id_697: 0.5
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+ file_id_676: 0.53125
100
+ file_id_682: 0.1666666716337204
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+ file_id_702: 0.4599999785423279
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+ file_id_680: 0.41379308700561523
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+ file_id_665: 0.692307710647583
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+ file_id_695: 0.5625
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+ file_id_718: 0.5
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+ file_id_721: 0.8125
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+ file_id_673: 0.8125
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+ file_id_664: 0.42500001192092896
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+ file_id_720: 0.8333333730697632
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+ file_id_663: 0.7333333492279053
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+ file_id_705: 0.3863636553287506
112
+ Testing DataLoader 0: 100% 72/72
113
 
 
 
 
114