nohup: ignoring input
Found 230 samples to evaluate

Evaluating samples:   0%|          | 0/230 [00:00<?, ?it/s]
Evaluating samples:   0%|          | 1/230 [00:02<10:31,  2.76s/it]
Evaluating samples:   1%|          | 2/230 [00:06<13:03,  3.44s/it]
Evaluating samples:   2%|▏         | 4/230 [00:07<05:35,  1.49s/it]
Evaluating samples:   3%|▎         | 7/230 [00:07<02:27,  1.51it/s]
Evaluating samples:   3%|▎         | 8/230 [00:07<02:11,  1.69it/s]
Evaluating samples:   4%|▍         | 9/230 [00:08<01:59,  1.85it/s]
Evaluating samples:   4%|▍         | 10/230 [00:08<01:40,  2.19it/s]
Evaluating samples:   5%|▍         | 11/230 [00:09<02:15,  1.62it/s]
Evaluating samples:   5%|▌         | 12/230 [00:10<02:59,  1.22it/s]
Evaluating samples:   6%|▌         | 13/230 [00:11<02:24,  1.50it/s]
Evaluating samples:   6%|▌         | 14/230 [00:11<02:31,  1.42it/s]
Evaluating samples:   7%|▋         | 16/230 [00:13<02:35,  1.37it/s]
Evaluating samples:   7%|▋         | 17/230 [00:13<02:06,  1.69it/s]
Evaluating samples:   8%|▊         | 18/230 [00:14<02:15,  1.57it/s]
Evaluating samples:   8%|▊         | 19/230 [00:14<02:00,  1.76it/s]
Evaluating samples:   9%|▊         | 20/230 [00:14<01:32,  2.28it/s]
Evaluating samples:   9%|▉         | 21/230 [00:14<01:13,  2.85it/s]
Evaluating samples:  10%|▉         | 22/230 [00:15<01:11,  2.93it/s]
Evaluating samples:  10%|█         | 23/230 [00:16<01:49,  1.90it/s]
Evaluating samples:  10%|█         | 24/230 [00:16<01:41,  2.03it/s]
Evaluating samples:  11%|█         | 25/230 [00:18<02:56,  1.16it/s]
Evaluating samples:  11%|█▏        | 26/230 [00:19<03:31,  1.04s/it]
Evaluating samples:  12%|█▏        | 28/230 [00:20<02:01,  1.66it/s]
Evaluating samples:  13%|█▎        | 29/230 [00:20<01:50,  1.83it/s]
Evaluating samples:  13%|█▎        | 31/230 [00:20<01:09,  2.86it/s]
Evaluating samples:  14%|█▍        | 32/230 [00:20<01:02,  3.17it/s]
Evaluating samples:  14%|█▍        | 33/230 [00:23<02:47,  1.18it/s]
Evaluating samples:  15%|█▍        | 34/230 [01:12<43:32, 13.33s/it]
Evaluating samples:  16%|█▌        | 36/230 [01:12<24:58,  7.72s/it]
Evaluating samples:  16%|█▌        | 37/230 [01:12<19:24,  6.03s/it]
Evaluating samples:  17%|█▋        | 38/230 [01:13<15:00,  4.69s/it]
Evaluating samples:  17%|█▋        | 39/230 [01:14<11:21,  3.57s/it]
Evaluating samples:  18%|█▊        | 41/230 [01:14<06:50,  2.17s/it]
Evaluating samples:  18%|█▊        | 42/230 [01:15<05:53,  1.88s/it]
Evaluating samples:  19%|█▊        | 43/230 [01:16<05:03,  1.62s/it]
Evaluating samples:  19%|█▉        | 44/230 [01:17<04:10,  1.35s/it]
Evaluating samples:  20%|█▉        | 45/230 [01:17<03:18,  1.07s/it]
Evaluating samples:  20%|██        | 46/230 [01:18<03:33,  1.16s/it]
Evaluating samples:  20%|██        | 47/230 [01:18<02:38,  1.16it/s]
Evaluating samples:  21%|██        | 48/230 [01:19<02:33,  1.19it/s]
Evaluating samples:  21%|██▏       | 49/230 [01:20<02:15,  1.33it/s]
Evaluating samples:  22%|██▏       | 51/230 [01:20<01:23,  2.15it/s]
Evaluating samples:  23%|██▎       | 53/230 [01:21<01:12,  2.44it/s]
Evaluating samples:  23%|██▎       | 54/230 [01:23<02:33,  1.15it/s]
Evaluating samples:  24%|██▍       | 55/230 [01:23<02:07,  1.38it/s]
Evaluating samples:  24%|██▍       | 56/230 [01:24<02:00,  1.45it/s]
Evaluating samples:  25%|██▍       | 57/230 [01:24<01:52,  1.54it/s]
Evaluating samples:  25%|██▌       | 58/230 [01:26<02:24,  1.19it/s]
Evaluating samples:  26%|██▌       | 60/230 [01:26<01:26,  1.98it/s]
Evaluating samples:  27%|██▋       | 62/230 [01:26<01:08,  2.47it/s]
Evaluating samples:  27%|██▋       | 63/230 [01:27<01:09,  2.40it/s]
Evaluating samples:  28%|██▊       | 64/230 [01:30<03:06,  1.13s/it]
Evaluating samples:  28%|██▊       | 65/230 [01:30<02:23,  1.15it/s]
Evaluating samples:  29%|██▊       | 66/230 [02:19<36:52, 13.49s/it]
Evaluating samples:  29%|██▉       | 67/230 [02:21<28:01, 10.32s/it]
Evaluating samples:  30%|██▉       | 68/230 [02:21<20:18,  7.52s/it]
Evaluating samples:  30%|███       | 69/230 [02:22<14:37,  5.45s/it]
Evaluating samples:  30%|███       | 70/230 [02:22<10:28,  3.93s/it]
Evaluating samples:  31%|███       | 71/230 [02:22<07:35,  2.87s/it]
Evaluating samples:  31%|███▏      | 72/230 [02:22<05:29,  2.08s/it]
Evaluating samples:  32%|███▏      | 73/230 [02:23<04:20,  1.66s/it]
Evaluating samples:  33%|███▎      | 75/230 [02:24<02:52,  1.12s/it]
Evaluating samples:  33%|███▎      | 76/230 [02:25<02:53,  1.13s/it]
Evaluating samples:  33%|███▎      | 77/230 [02:27<03:09,  1.24s/it]
Evaluating samples:  34%|███▍      | 78/230 [02:27<02:46,  1.09s/it]
Evaluating samples:  34%|███▍      | 79/230 [02:28<02:11,  1.15it/s]
Evaluating samples:  35%|███▍      | 80/230 [02:28<01:38,  1.53it/s]
Evaluating samples:  36%|███▌      | 82/230 [02:28<01:01,  2.41it/s]
Evaluating samples:  36%|███▌      | 83/230 [02:28<00:53,  2.75it/s]
Evaluating samples:  37%|███▋      | 84/230 [02:29<01:17,  1.88it/s]
Evaluating samples:  37%|███▋      | 85/230 [02:31<02:06,  1.14it/s]
Evaluating samples:  37%|███▋      | 86/230 [02:32<02:16,  1.06it/s]
Evaluating samples:  38%|███▊      | 87/230 [02:34<02:45,  1.16s/it]
Evaluating samples:  38%|███▊      | 88/230 [02:34<02:07,  1.12it/s]
Evaluating samples:  39%|███▉      | 90/230 [02:34<01:13,  1.90it/s]
Evaluating samples:  40%|████      | 92/230 [02:34<00:48,  2.86it/s]
Evaluating samples:  41%|████      | 94/230 [02:35<00:50,  2.69it/s]
Evaluating samples:  42%|████▏     | 96/230 [02:39<02:07,  1.05it/s]
Evaluating samples:  42%|████▏     | 97/230 [03:27<22:07,  9.98s/it]
Evaluating samples:  43%|████▎     | 99/230 [03:27<14:16,  6.54s/it]
Evaluating samples:  43%|████▎     | 100/230 [03:28<11:20,  5.23s/it]
Evaluating samples:  45%|████▌     | 104/230 [03:28<05:09,  2.45s/it]
Evaluating samples:  46%|████▌     | 105/230 [03:29<04:40,  2.25s/it]
Evaluating samples:  46%|████▌     | 106/230 [03:31<04:25,  2.14s/it]
Evaluating samples:  47%|████▋     | 107/230 [03:31<03:35,  1.75s/it]
Evaluating samples:  47%|████▋     | 108/230 [03:33<03:55,  1.93s/it]
Evaluating samples:  47%|████▋     | 109/230 [03:35<03:34,  1.77s/it]
Evaluating samples:  48%|████▊     | 110/230 [03:35<02:40,  1.34s/it]
Evaluating samples:  48%|████▊     | 111/230 [03:35<02:06,  1.06s/it]
Evaluating samples:  49%|████▊     | 112/230 [03:36<01:43,  1.14it/s]
Evaluating samples:  49%|████▉     | 113/230 [03:36<01:18,  1.50it/s]
Evaluating samples:  50%|█████     | 115/230 [03:36<00:45,  2.52it/s]
Evaluating samples:  50%|█████     | 116/230 [03:36<00:39,  2.89it/s]
Evaluating samples:  51%|█████     | 117/230 [03:37<01:08,  1.65it/s]
Evaluating samples:  51%|█████▏    | 118/230 [03:40<02:12,  1.19s/it]
Evaluating samples:  52%|█████▏    | 119/230 [03:41<01:55,  1.04s/it]
Evaluating samples:  52%|█████▏    | 120/230 [03:42<01:53,  1.03s/it]
Evaluating samples:  53%|█████▎    | 122/230 [03:42<01:05,  1.66it/s]
Evaluating samples:  53%|█████▎    | 123/230 [03:42<00:59,  1.80it/s]
Evaluating samples:  54%|█████▍    | 124/230 [03:43<00:58,  1.81it/s]
Evaluating samples:  54%|█████▍    | 125/230 [03:43<00:55,  1.89it/s]
Evaluating samples:  55%|█████▍    | 126/230 [03:44<01:01,  1.69it/s]
Evaluating samples:  56%|█████▌    | 128/230 [03:45<00:49,  2.07it/s]
Evaluating samples:  56%|█████▌    | 129/230 [03:46<01:13,  1.38it/s]
Evaluating samples:  57%|█████▋    | 130/230 [04:36<22:11, 13.31s/it]
Evaluating samples:  57%|█████▋    | 131/230 [04:37<16:18,  9.89s/it]
Evaluating samples:  58%|█████▊    | 133/230 [04:37<09:07,  5.65s/it]
Evaluating samples:  58%|█████▊    | 134/230 [04:37<06:59,  4.37s/it]
Evaluating samples:  59%|█████▉    | 136/230 [04:38<04:12,  2.68s/it]
Evaluating samples:  60%|█████▉    | 137/230 [04:38<03:16,  2.11s/it]
Evaluating samples:  60%|██████    | 138/230 [04:38<02:34,  1.68s/it]
Evaluating samples:  60%|██████    | 139/230 [04:38<01:59,  1.32s/it]
Evaluating samples:  61%|██████    | 140/230 [04:41<02:27,  1.64s/it]
Evaluating samples:  61%|██████▏   | 141/230 [04:41<01:58,  1.33s/it]
Evaluating samples:  62%|██████▏   | 142/230 [04:42<01:30,  1.03s/it]
Evaluating samples:  62%|██████▏   | 143/230 [04:42<01:10,  1.24it/s]
Evaluating samples:  63%|██████▎   | 144/230 [04:42<00:59,  1.46it/s]
Evaluating samples:  63%|██████▎   | 145/230 [04:43<00:53,  1.60it/s]
Evaluating samples:  63%|██████▎   | 146/230 [04:43<00:49,  1.69it/s]
Evaluating samples:  64%|██████▍   | 147/230 [04:44<00:54,  1.52it/s]
Evaluating samples:  64%|██████▍   | 148/230 [04:45<00:58,  1.40it/s]
Evaluating samples:  65%|██████▍   | 149/230 [04:46<00:56,  1.44it/s]
Evaluating samples:  65%|██████▌   | 150/230 [04:46<00:47,  1.70it/s]
Evaluating samples:  66%|██████▌   | 151/230 [04:47<00:51,  1.53it/s]
Evaluating samples:  66%|██████▌   | 152/230 [04:47<00:42,  1.82it/s]
Evaluating samples:  67%|██████▋   | 154/230 [04:48<00:35,  2.14it/s]
Evaluating samples:  67%|██████▋   | 155/230 [04:48<00:37,  2.01it/s]
Evaluating samples:  68%|██████▊   | 157/230 [04:49<00:29,  2.50it/s]
Evaluating samples:  69%|██████▊   | 158/230 [04:50<00:34,  2.10it/s]
Evaluating samples:  69%|██████▉   | 159/230 [04:51<00:43,  1.64it/s]
Evaluating samples:  70%|██████▉   | 160/230 [04:52<00:56,  1.25it/s]
Evaluating samples:  70%|███████   | 161/230 [05:42<16:08, 14.03s/it]
Evaluating samples:  71%|███████▏  | 164/230 [05:42<07:13,  6.57s/it]
Evaluating samples:  72%|███████▏  | 165/230 [05:42<05:43,  5.28s/it]
Evaluating samples:  72%|███████▏  | 166/230 [05:43<04:35,  4.30s/it]
Evaluating samples:  73%|███████▎  | 167/230 [05:44<03:30,  3.34s/it]
Evaluating samples:  73%|███████▎  | 169/230 [05:44<02:04,  2.04s/it]
Evaluating samples:  74%|███████▍  | 170/230 [05:45<01:52,  1.87s/it]
Evaluating samples:  74%|███████▍  | 171/230 [05:48<02:05,  2.12s/it]
Evaluating samples:  75%|███████▍  | 172/230 [05:48<01:33,  1.61s/it]
Evaluating samples:  76%|███████▌  | 174/230 [05:49<00:56,  1.00s/it]
Evaluating samples:  76%|███████▌  | 175/230 [05:49<00:45,  1.22it/s]
Evaluating samples:  77%|███████▋  | 177/230 [05:49<00:29,  1.82it/s]
Evaluating samples:  78%|███████▊  | 179/230 [05:49<00:20,  2.43it/s]
Evaluating samples:  78%|███████▊  | 180/230 [05:52<00:37,  1.35it/s]
Evaluating samples:  79%|███████▊  | 181/230 [05:53<00:49,  1.02s/it]
Evaluating samples:  79%|███████▉  | 182/230 [05:54<00:41,  1.14it/s]
Evaluating samples:  80%|███████▉  | 183/230 [05:55<00:47,  1.02s/it]
Evaluating samples:  80%|████████  | 184/230 [05:56<00:40,  1.14it/s]
Evaluating samples:  80%|████████  | 185/230 [05:56<00:29,  1.50it/s]
Evaluating samples:  81%|████████▏ | 187/230 [05:56<00:19,  2.18it/s]
Evaluating samples:  82%|████████▏ | 189/230 [05:56<00:12,  3.21it/s]
Evaluating samples:  83%|████████▎ | 191/230 [05:58<00:19,  1.97it/s]
Evaluating samples:  83%|████████▎ | 192/230 [05:58<00:16,  2.27it/s]
Evaluating samples:  84%|████████▍ | 193/230 [06:49<07:09, 11.62s/it]
Evaluating samples:  84%|████████▍ | 194/230 [06:49<05:22,  8.97s/it]
Evaluating samples:  85%|████████▍ | 195/230 [06:50<04:03,  6.95s/it]
Evaluating samples:  85%|████████▌ | 196/230 [06:51<02:55,  5.16s/it]
Evaluating samples:  86%|████████▌ | 197/230 [06:51<02:05,  3.79s/it]
Evaluating samples:  86%|████████▌ | 198/230 [06:51<01:28,  2.76s/it]
Evaluating samples:  87%|████████▋ | 200/230 [06:51<00:46,  1.55s/it]
Evaluating samples:  88%|████████▊ | 202/230 [06:51<00:27,  1.01it/s]
Evaluating samples:  88%|████████▊ | 203/230 [06:54<00:34,  1.28s/it]
Evaluating samples:  89%|████████▊ | 204/230 [06:55<00:30,  1.18s/it]
Evaluating samples:  89%|████████▉ | 205/230 [06:56<00:28,  1.15s/it]
Evaluating samples:  90%|████████▉ | 206/230 [06:57<00:26,  1.09s/it]
Evaluating samples:  90%|█████████ | 208/230 [06:57<00:14,  1.52it/s]
Evaluating samples:  91%|█████████▏| 210/230 [06:57<00:09,  2.13it/s]
Evaluating samples:  92%|█████████▏| 211/230 [06:57<00:07,  2.54it/s]
Evaluating samples:  92%|█████████▏| 212/230 [06:58<00:10,  1.71it/s]
Evaluating samples:  93%|█████████▎| 213/230 [06:59<00:07,  2.13it/s]
Evaluating samples:  93%|█████████▎| 214/230 [07:00<00:11,  1.40it/s]
Evaluating samples:  93%|█████████▎| 215/230 [07:01<00:10,  1.41it/s]
Evaluating samples:  94%|█████████▍| 216/230 [07:01<00:09,  1.48it/s]
Evaluating samples:  94%|█████████▍| 217/230 [07:03<00:13,  1.01s/it]
Evaluating samples:  95%|█████████▍| 218/230 [07:04<00:11,  1.03it/s]
Evaluating samples:  96%|█████████▌| 221/230 [07:04<00:04,  1.99it/s]
Evaluating samples:  97%|█████████▋| 222/230 [07:05<00:04,  1.94it/s]
Evaluating samples:  97%|█████████▋| 224/230 [07:05<00:02,  2.68it/s]
Evaluating samples:  98%|█████████▊| 225/230 [07:56<00:55, 11.05s/it]
Evaluating samples:  98%|█████████▊| 226/230 [07:58<00:35,  8.92s/it]
Evaluating samples:  99%|█████████▊| 227/230 [07:58<00:20,  6.80s/it]Worker 10: ✅ Evaluated sample_0694
Worker 2: ✅ Evaluated sample_0345
Worker 3: ✅ Evaluated sample_0454
Worker 8: ✅ Evaluated sample_0356
Worker 9: ✅ Evaluated sample_0485
Worker 7: ✅ Evaluated sample_0410
Worker 5: ✅ Evaluated sample_0504
Worker 1: ✅ Evaluated sample_0319
Worker 6: ✅ Evaluated sample_0697
Worker 1: ✅ Evaluated sample_0156
Worker 2: ✅ Evaluated sample_0598
Worker 3: ✅ Evaluated sample_0656
Worker 6: ✅ Evaluated sample_0691
Worker 7: ✅ Evaluated sample_0413
Worker 1: ✅ Evaluated sample_0359
Worker 5: ✅ Evaluated sample_0423
Worker 4: ✅ Evaluated sample_0455
Worker 9: ✅ Evaluated sample_0300
Worker 8: ✅ Evaluated sample_0150
Worker 10: ✅ Evaluated sample_0673
Worker 2: ✅ Evaluated sample_0517
Worker 4: ✅ Evaluated sample_0251
Worker 3: ✅ Evaluated sample_0442
Worker 5: ✅ Evaluated sample_0298
Worker 6: ✅ Evaluated sample_0583
Worker 8: ✅ Evaluated sample_0695
Worker 10: ✅ Evaluated sample_0366
Worker 7: ✅ Evaluated sample_0464
Worker 9: ✅ Evaluated sample_0318
Worker 1: ✅ Evaluated sample_0645
Worker 2: ✅ Evaluated sample_0316
Worker 3: ✅ Evaluated sample_0628
Worker 4: ✅ Evaluated sample_0395
Worker 5: ✅ Evaluated sample_0289
Worker 2: ✅ Evaluated sample_0340
Worker 8: ✅ Evaluated sample_0408
Worker 6: ✅ Evaluated sample_0503
Worker 7: ✅ Evaluated sample_0435
Worker 1: ✅ Evaluated sample_0627
Worker 3: ✅ Evaluated sample_0037
Worker 9: ✅ Evaluated sample_0425
Worker 10: ✅ Evaluated sample_0287
Worker 6: ✅ Evaluated sample_0369
Worker 4: ✅ Evaluated sample_0609
Worker 8: ✅ Evaluated sample_0548
Worker 7: ✅ Evaluated sample_0642
Worker 5: ✅ Evaluated sample_0420
Worker 2: ✅ Evaluated sample_0360
Worker 9: ✅ Evaluated sample_0483
Worker 1: ✅ Evaluated sample_0489
Worker 10: ✅ Evaluated sample_0619
Worker 4: ✅ Evaluated sample_0566
Worker 7: ✅ Evaluated sample_0312
Worker 5: ✅ Evaluated sample_0499
Worker 3: ✅ Evaluated sample_0453
Worker 6: ✅ Evaluated sample_0353
Worker 2: ✅ Evaluated sample_0639
Worker 3: ✅ Evaluated sample_0402
Worker 9: ✅ Evaluated sample_0317
Worker 8: ✅ Evaluated sample_0398
Worker 1: ✅ Evaluated sample_0618
Worker 10: ✅ Evaluated sample_0678
Worker 5: ✅ Evaluated sample_0469
Worker 4: ✅ Evaluated sample_0403
Worker 5: ✅ Evaluated sample_0541
Worker 9: ✅ Evaluated sample_0379
Worker 3: ✅ Evaluated sample_0664
Worker 6: ✅ Evaluated sample_0364
Worker 7: ✅ Evaluated sample_0295
Worker 4: ✅ Evaluated sample_0523
Worker 1: ✅ Evaluated sample_0568
Worker 8: ✅ Evaluated sample_0236
Worker 10: ✅ Evaluated sample_0669
Worker 2: ✅ Evaluated sample_0674
Worker 6: ✅ Evaluated sample_0291
Worker 7: ✅ Evaluated sample_0513
Worker 9: ✅ Evaluated sample_0223
Worker 8: ✅ Evaluated sample_0411
Worker 1: ✅ Evaluated sample_0438
Worker 2: ✅ Evaluated sample_0335
Worker 10: ✅ Evaluated sample_0451
Worker 4: ✅ Evaluated sample_0467
Worker 3: ✅ Evaluated sample_0288
Worker 5: ✅ Evaluated sample_0496
Worker 6: ✅ Evaluated sample_0494
Worker 4: ✅ Evaluated sample_0407
Worker 3: ✅ Evaluated sample_0170
Worker 2: ✅ Evaluated sample_0384
Worker 10: ✅ Evaluated sample_0331
Worker 7: ✅ Evaluated sample_0444
Worker 8: ✅ Evaluated sample_0405
Worker 1: ✅ Evaluated sample_0355
Worker 5: ✅ Evaluated sample_0621
Worker 9: ✅ Evaluated sample_0129
Worker 6: ✅ Evaluated sample_0347
Worker 10: ✅ Evaluated sample_0648
Worker 5: ✅ Evaluated sample_0296
Worker 2: ✅ Evaluated sample_0660
Worker 6: ✅ Evaluated sample_0374
Worker 1: ✅ Evaluated sample_0220
Worker 9: ✅ Evaluated sample_0540
Worker 8: ✅ Evaluated sample_0546
Worker 7: ✅ Evaluated sample_0550
Worker 3: ✅ Evaluated sample_0208
Worker 7: ✅ Evaluated sample_0581
Worker 4: ✅ Evaluated sample_0596
Worker 8: ✅ Evaluated sample_0482
Worker 2: ✅ Evaluated sample_0338
Worker 6: ✅ Evaluated sample_0528
Worker 7: ✅ Evaluated sample_0299
Worker 3: ✅ Evaluated sample_0651
Worker 4: ✅ Evaluated sample_0604
Worker 5: ✅ Evaluated sample_0367
Worker 10: ✅ Evaluated sample_0136
Worker 1: ✅ Evaluated sample_0509
Worker 9: ✅ Evaluated sample_0690
Worker 8: ✅ Evaluated sample_0358
Worker 9: ✅ Evaluated sample_0294
Worker 10: ✅ Evaluated sample_0394
Worker 2: ✅ Evaluated sample_0325
Worker 7: ✅ Evaluated sample_0409
Worker 5: ✅ Evaluated sample_0039
Worker 4: ✅ Evaluated sample_0686
Worker 1: ✅ Evaluated sample_0666
Worker 3: ✅ Evaluated sample_0285
Worker 6: ✅ Evaluated sample_0433
Worker 8: ✅ Evaluated sample_0585
Worker 9: ✅ Evaluated sample_0389
Worker 1: ✅ Evaluated sample_0311
Worker 6: ✅ Evaluated sample_0439
Worker 5: ✅ Evaluated sample_0332
Worker 3: ✅ Evaluated sample_0460
Worker 2: ✅ Evaluated sample_0301
Worker 10: ✅ Evaluated sample_0461
Worker 4: ✅ Evaluated sample_0680
Worker 9: ✅ Evaluated sample_0450
Worker 8: ✅ Evaluated sample_0530
Worker 7: ✅ Evaluated sample_0401
Worker 10: ✅ Evaluated sample_0400
Worker 2: ✅ Evaluated sample_0122
Worker 4: ✅ Evaluated sample_0519
Worker 3: ✅ Evaluated sample_0437
Worker 7: ✅ Evaluated sample_0623
Worker 6: ✅ Evaluated sample_0303
Worker 1: ✅ Evaluated sample_0456
Worker 5: ✅ Evaluated sample_0682
Worker 9: ✅ Evaluated sample_0477
Worker 8: ✅ Evaluated sample_0304
Worker 1: ✅ Evaluated sample_0302
Worker 10: ✅ Evaluated sample_0422
Worker 5: ✅ Evaluated sample_0344
Worker 4: ✅ Evaluated sample_0518
Worker 6: ✅ Evaluated sample_0471
Worker 7: ✅ Evaluated sample_0655
Worker 2: ✅ Evaluated sample_0372
Worker 3: ✅ Evaluated sample_0567
Worker 8: ✅ Evaluated sample_0368
Worker 10: ✅ Evaluated sample_0472
Worker 9: ✅ Evaluated sample_0553
Worker 2: ✅ Evaluated sample_0429
Worker 3: ✅ Evaluated sample_0612
Worker 7: ✅ Evaluated sample_0434
Worker 5: ✅ Evaluated sample_0428
Worker 6: ✅ Evaluated sample_0320
Worker 8: ✅ Evaluated sample_0599
Worker 4: ✅ Evaluated sample_0497
Worker 1: ✅ Evaluated sample_0445
Worker 10: ✅ Evaluated sample_0385
Worker 9: ✅ Evaluated sample_0679
Worker 3: ✅ Evaluated sample_0591
Worker 4: ✅ Evaluated sample_0630
Worker 2: ✅ Evaluated sample_0506
Worker 9: ✅ Evaluated sample_0653
Worker 6: ✅ Evaluated sample_0525
Worker 5: ✅ Evaluated sample_0387
Worker 7: ✅ Evaluated sample_0687
Worker 1: ✅ Evaluated sample_0668
Worker 8: ✅ Evaluated sample_0579
Worker 10: ✅ Evaluated sample_0516
Worker 9: ✅ Evaluated sample_0588
Worker 2: ✅ Evaluated sample_0419
Worker 1: ✅ Evaluated sample_0615
Worker 4: ✅ Evaluated sample_0293
Worker 7: ✅ Evaluated sample_0498
Worker 6: ✅ Evaluated sample_0685
Worker 5: ✅ Evaluated sample_0148
Worker 10: ✅ Evaluated sample_0610
Worker 3: ✅ Evaluated sample_0644
Worker 8: ✅ Evaluated sample_0404
Worker 2: ✅ Evaluated sample_0339
Worker 1: ✅ Evaluated sample_0115
Worker 8: ✅ Evaluated sample_0314
Worker 7: ✅ Evaluated sample_0652
Worker 9: ✅ Evaluated sample_0310
Worker 2: ✅ Evaluated sample_0432
Worker 4: ✅ Evaluated sample_0417
Worker 5: ✅ Evaluated sample_0430
Worker 10: ✅ Evaluated sample_0597
Worker 6: ✅ Evaluated sample_0468
Worker 1: ✅ Evaluated sample_0580
Worker 3: ✅ Evaluated sample_0576
Worker 4: ✅ Evaluated sample_0487
Worker 6: ✅ Evaluated sample_0377
Worker 3: ✅ Evaluated sample_0191
Worker 9: ✅ Evaluated sample_0555
Worker 8: ✅ Evaluated sample_0693
Worker 5: ✅ Evaluated sample_0235
Worker 1: ✅ Evaluated sample_0463
Worker 2: ✅ Evaluated sample_0378
Worker 7: ✅ Evaluated sample_0327
Worker 3: ✅ Evaluated sample_0554
Worker 10: ✅ Evaluated sample_0354
Worker 5: ✅ Evaluated sample_0607
Worker 6: ✅ Evaluated sample_0537
Worker 4: ✅ Evaluated sample_0415
Worker 9: ✅ Evaluated sample_0584
Worker 3: ✅ Evaluated sample_0625
Worker 1: ✅ Evaluated sample_0577
Worker 4: ✅ Evaluated sample_0544
Worker 10: ✅ Evaluated sample_0620
Worker 8: ✅ Evaluated sample_0193
Worker 7: ✅ Evaluated sample_0194
Worker 2: ✅ Evaluated sample_0426
Worker 8: ✅ Evaluated sample_0608
Worker 7: ✅ Evaluated sample_0157
Worker 10: ✅ Evaluated sample_0698
Worker 9: ✅ Evaluated sample_0473
Evaluating samples:  99%|█████████▉| 228/230 [07:59<00:10,  5.06s/it]
Evaluating samples: 100%|█████████▉| 229/230 [07:59<00:03,  3.71s/it]
Evaluating samples: 100%|██████████| 230/230 [07:59<00:00,  2.71s/it]
Evaluating samples: 100%|██████████| 230/230 [07:59<00:00,  2.08s/it]

Worker 5: ✅ Evaluated sample_0349
Worker 6: ✅ Evaluated sample_0393

========== GPT Evaluation Summary ==========
Total samples: 230
Successful: 229
Failed: 1

Average Scores:
  aesthetic_harmony: 5.28
  lived_in_realism: 2.58
  structural_orchestration: 2.64
  geometric_grounding: 4.95
  semantic_fidelity: 3.84
  functional_affordance: 4.07

Overall Average: 3.89

Results saved to: results/bench_test_700/gpt_eval.json