To apply a mutant on disk:
    mutmut apply <id>

To show a mutant:
    mutmut show <id>


Survived 🙁 (2750)

---- fairseq/__init__.py (6) ----

124-129

---- fairseq/benchmark/dummy_lm.py (11) ----

3224-3234

---- fairseq/benchmark/dummy_masked_lm.py (11) ----

3213-3223

---- fairseq/benchmark/dummy_model.py (7) ----

3237-3241, 3243-3244

---- fairseq/binarizer.py (12) ----

159-170

---- fairseq/checkpoint_utils.py (6) ----

57-62

---- fairseq/criterions/__init__.py (2) ----

3171-3172

---- fairseq/criterions/adaptive_loss.py (6) ----

3180-3185

---- fairseq/criterions/binary_cross_entropy.py (7) ----

3128-3134

---- fairseq/criterions/composite_loss.py (5) ----

3197-3201

---- fairseq/criterions/cross_entropy.py (6) ----

3150-3155

---- fairseq/criterions/fairseq_criterion.py (7) ----

3143-3149

---- fairseq/criterions/label_smoothed_cross_entropy.py (8) ----

3135-3142

---- fairseq/criterions/label_smoothed_cross_entropy_with_alignment.py (6) ----

3156-3161

---- fairseq/criterions/legacy_masked_lm.py (8) ----

3162-3169

---- fairseq/criterions/masked_lm.py (5) ----

3192-3196

---- fairseq/criterions/nat_loss.py (11) ----

3202-3212

---- fairseq/criterions/sentence_prediction.py (6) ----

3186-3191

---- fairseq/criterions/sentence_ranking.py (6) ----

3122-3127

---- fairseq/data/append_token_dataset.py (1) ----

390

---- fairseq/data/audio/raw_audio_dataset.py (2) ----

740-741

---- fairseq/data/backtranslation_dataset.py (3) ----

364-366

---- fairseq/data/base_wrapper_dataset.py (3) ----

500-502

---- fairseq/data/bucket_pad_length_dataset.py (1) ----

504

---- fairseq/data/concat_dataset.py (4) ----

354-357

---- fairseq/data/concat_sentences_dataset.py (2) ----

535-536

---- fairseq/data/data_utils.py (10) ----

448-450, 453, 457-462

---- fairseq/data/denoising_dataset.py (3) ----

463-465

---- fairseq/data/dictionary.py (26) ----

466-469, 474, 476-481, 483, 486-499

---- fairseq/data/encoders/__init__.py (1) ----

692

---- fairseq/data/encoders/byte_bpe.py (4) ----

700-703

---- fairseq/data/encoders/byte_utils.py (23) ----

659-668, 670-673, 675-683

---- fairseq/data/encoders/bytes.py (5) ----

717-721

---- fairseq/data/encoders/characters.py (9) ----

722-730

---- fairseq/data/encoders/fastbpe.py (3) ----

706-708

---- fairseq/data/encoders/gpt2_bpe.py (7) ----

733-739

---- fairseq/data/encoders/gpt2_bpe_utils.py (2) ----

709-710

---- fairseq/data/encoders/hf_bert_bpe.py (3) ----

687-689

---- fairseq/data/encoders/hf_byte_bpe.py (3) ----

714-716

---- fairseq/data/encoders/moses_tokenizer.py (3) ----

656-658

---- fairseq/data/encoders/nltk_tokenizer.py (2) ----

731-732

---- fairseq/data/encoders/sentencepiece_bpe.py (3) ----

684-686

---- fairseq/data/encoders/space_tokenizer.py (2) ----

704-705

---- fairseq/data/encoders/subword_nmt_bpe.py (3) ----

711-713

---- fairseq/data/fairseq_dataset.py (2) ----

369-370

---- fairseq/data/indexed_dataset.py (44) ----

612-655

---- fairseq/data/iterators.py (23) ----

512-534

---- fairseq/data/language_pair_dataset.py (36) ----

537-538, 540, 547, 550, 553-556, 558-561, 563-567, 569, 573, 576, 578-585, 587-589, 591, 594, 598, 604

---- fairseq/data/legacy/block_pair_dataset.py (2) ----

744-745

---- fairseq/data/legacy/masked_lm_dataset.py (2) ----

746-747

---- fairseq/data/legacy/masked_lm_dictionary.py (2) ----

742-743

---- fairseq/data/list_dataset.py (1) ----

353

---- fairseq/data/lm_context_window_dataset.py (1) ----

503

---- fairseq/data/lru_cache_dataset.py (4) ----

359-362

---- fairseq/data/mask_tokens_dataset.py (3) ----

391-393

---- fairseq/data/monolingual_dataset.py (2) ----

351-352

---- fairseq/data/multi_corpus_sampled_dataset.py (4) ----

376, 378, 386, 389

---- fairseq/data/nested_dictionary_dataset.py (1) ----

348

---- fairseq/data/noising.py (7) ----

605-611

---- fairseq/data/numel_dataset.py (1) ----

363

---- fairseq/data/plasma_utils.py (12) ----

395-406

---- fairseq/data/prepend_token_dataset.py (1) ----

358

---- fairseq/data/resampling_dataset.py (3) ----

508-510

---- fairseq/data/round_robin_zip_datasets.py (1) ----

407

---- fairseq/data/shorten_dataset.py (2) ----

349-350

---- fairseq/data/subsample_dataset.py (3) ----

505-507

---- fairseq/data/token_block_dataset.py (17) ----

408, 410-412, 414, 417, 419-423, 426-427, 429-430, 441, 446

---- fairseq/data/transform_eos_dataset.py (2) ----

367-368

---- fairseq/data/transform_eos_lang_pair_dataset.py (1) ----

447

---- fairseq/distributed_utils.py (2) ----

1-2

---- fairseq/file_io.py (11) ----

27-37

---- fairseq/file_utils.py (13) ----

13, 15-26

---- fairseq/incremental_decoding_utils.py (1) ----

3

---- fairseq/iterative_refinement_generator.py (10) ----

132-141

---- fairseq/legacy_distributed_data_parallel.py (4) ----

8-11

---- fairseq/logging/meters.py (15) ----

775-789

---- fairseq/logging/metrics.py (14) ----

750-751, 754-755, 757-766

---- fairseq/logging/progress_bar.py (8) ----

767-774

---- fairseq/model_parallel/criterions/__init__.py (4) ----

340-343

---- fairseq/model_parallel/criterions/vocab_parallel_cross_entropy.py (7) ----

333-339

---- fairseq/model_parallel/models/__init__.py (8) ----

276-282, 288

---- fairseq/model_parallel/models/roberta/model.py (16) ----

312-314, 317-323, 325-326, 328-329, 331-332

---- fairseq/model_parallel/models/transformer.py (9) ----

303-311

---- fairseq/model_parallel/models/transformer_lm.py (10) ----

289-292, 295-296, 298-299, 301-302

---- fairseq/model_parallel/modules/multihead_attention.py (5) ----

267-271

---- fairseq/model_parallel/modules/transformer_layer.py (2) ----

265-266

---- fairseq/model_parallel/modules/transformer_sentence_encoder.py (2) ----

272-273

---- fairseq/model_parallel/modules/transformer_sentence_encoder_layer.py (2) ----

263-264

---- fairseq/models/__init__.py (16) ----

1479-1480, 1483-1489, 1495, 1497, 1499, 1501-1502, 1505-1506

---- fairseq/models/bart/hub_interface.py (9) ----

2329-2337

---- fairseq/models/bart/model.py (22) ----

2338, 2341-2351, 2353-2354, 2356-2357, 2359-2360, 2362-2363, 2365-2366

---- fairseq/models/distributed_fairseq_model.py (4) ----

1744-1747

---- fairseq/models/fairseq_decoder.py (3) ----

1507-1509

---- fairseq/models/fairseq_encoder.py (9) ----

2097-2105

---- fairseq/models/fairseq_incremental_decoder.py (1) ----

1939

---- fairseq/models/fairseq_model.py (14) ----

1359-1367, 1370-1374

---- fairseq/models/fconv.py (51) ----

1750-1779, 1781-1784, 1786-1792, 1794-1795, 1797-1798, 1800-1801, 1803-1804, 1806-1807

---- fairseq/models/fconv_lm.py (29) ----

906-928, 930-931, 933-934, 936-937

---- fairseq/models/fconv_self_att.py (67) ----

1398, 1401-1462, 1464-1465, 1467-1468

---- fairseq/models/huggingface/__init__.py (8) ----

2369-2375, 2381

---- fairseq/models/huggingface/hf_gpt2.py (18) ----

2382-2389, 2392-2393, 2395-2396, 2398-2399, 2401-2402, 2404-2405

---- fairseq/models/lightconv.py (117) ----

1810-1842, 1844-1845, 1847-1866, 1868-1869, 1871-1872, 1874-1875, 1877-1920, 1922-1923, 1925-1926, 1928-1929, 1931-1932, 1934-1935, 1937-1938

---- fairseq/models/lightconv_lm.py (102) ----

792-827, 829-840, 842-844, 846-848, 850-864, 866-873, 875-876, 878-879, 881-897, 899-900, 902-903

---- fairseq/models/lstm.py (190) ----

1003-1006, 1009, 1011-1012, 1014-1015, 1017-1019, 1021, 1023-1024, 1026-1028, 1030, 1032-1033, 1035-1037, 1039, 1041-1042, 1044-1045, 1047-1048, 1050-1051, 1053-1055, 1058-1059, 1062, 1064-1065, 1067-1068, 1070-1071, 1073-1074, 1078-1081, 1085-1086, 1088-1094, 1100-1101, 1104, 1106-1108, 1111, 1123-1124, 1129, 1134, 1138, 1141, 1144, 1149-1158, 1165, 1168, 1170, 1173-1177, 1179, 1181, 1183, 1185, 1192, 1201-1202, 1211-1212, 1219, 1221, 1233, 1237-1245, 1248, 1250-1251, 1255, 1257, 1260, 1262, 1264-1267, 1269-1276, 1278-1287, 1289-1294, 1296-1299, 1301-1302, 1304-1309, 1311, 1314-1315, 1317, 1319, 1321-1322, 1324-1326, 1328-1329, 1331, 1334-1335, 1337, 1340, 1342, 1344-1345, 1347-1352, 1354-1355, 1357-1358

---- fairseq/models/lstm_lm.py (41) ----

956-957, 960-986, 988-996, 998-999, 1001

---- fairseq/models/masked_lm.py (56) ----

1656, 1659-1681, 1683-1684, 1686-1687, 1689-1698, 1700-1701, 1703-1708, 1710-1711, 1713-1714, 1716-1717, 1719-1720, 1722-1723

---- fairseq/models/model_utils.py (5) ----

1941-1945

---- fairseq/models/multilingual_transformer.py (15) ----

1377-1378, 1380-1381, 1383-1384, 1386-1387, 1389-1391, 1393-1394, 1396-1397

---- fairseq/models/nat/cmlm_transformer.py (5) ----

2322, 2324-2325, 2327-2328

---- fairseq/models/nat/fairseq_nat_model.py (8) ----

2266-2273

---- fairseq/models/nat/insertion_transformer.py (34) ----

2275-2294, 2296-2298, 2300, 2302, 2306, 2309, 2312-2316, 2318-2319

---- fairseq/models/nat/iterative_nonautoregressive_transformer.py (9) ----

2213-2217, 2220-2221, 2223, 2225

---- fairseq/models/nat/levenshtein_transformer.py (13) ----

2249-2256, 2258-2259, 2261, 2263, 2265

---- fairseq/models/nat/nat_crf_transformer.py (4) ----

2228-2229, 2231-2232

---- fairseq/models/nat/nonautoregressive_transformer.py (10) ----

2235-2242, 2244, 2246

---- fairseq/models/roberta/hub_interface.py (6) ----

2406-2411

---- fairseq/models/roberta/model.py (78) ----

2419, 2422-2440, 2442-2457, 2459-2478, 2480-2493, 2495-2496, 2498-2499, 2501-2502, 2504-2505

---- fairseq/models/roberta/model_camembert.py (7) ----

2412-2418

---- fairseq/models/roberta/model_xlmr.py (7) ----

2506-2512

---- fairseq/models/transformer.py (129) ----

1946-1949, 1952-1961, 1964-1981, 1983-1984, 1986-2002, 2004-2005, 2007-2011, 2013-2014, 2016-2018, 2020-2027, 2029-2030, 2032-2034, 2036-2038, 2040-2075, 2077-2078, 2080-2081, 2083-2084, 2086-2087, 2089-2090, 2092-2093, 2095-2096

---- fairseq/models/transformer_align.py (16) ----

1726-1737, 1739-1740, 1742-1743

---- fairseq/models/transformer_from_pretrained_xlm.py (13) ----

940-944, 946-947, 949-953, 955

---- fairseq/models/transformer_lm.py (121) ----

1510-1511, 1514-1523, 1526-1546, 1548-1549, 1551-1561, 1563-1564, 1566-1567, 1569-1582, 1584-1591, 1593-1594, 1596-1597, 1599-1600, 1602-1603, 1605-1625, 1627-1628, 1630-1631, 1633-1634, 1636-1637, 1639-1640, 1642-1643, 1645-1646, 1648-1649, 1651-1652, 1654-1655

---- fairseq/models/wav2vec.py (95) ----

2106, 2109-2147, 2149-2150, 2152-2153, 2155-2156, 2158-2162, 2164-2165, 2167-2173, 2175-2199, 2201-2209, 2211

---- fairseq/modules/adaptive_input.py (1) ----

171

---- fairseq/modules/adaptive_softmax.py (3) ----

259-261

---- fairseq/modules/character_token_embedder.py (8) ----

175-182

---- fairseq/modules/conv_tbc.py (1) ----

242

---- fairseq/modules/cross_entropy.py (5) ----

209-213

---- fairseq/modules/downsampled_multihead_attention.py (10) ----

225-234

---- fairseq/modules/dynamic_convolution.py (5) ----

199-203

---- fairseq/modules/dynamic_crf_layer.py (3) ----

172-174

---- fairseq/modules/fairseq_dropout.py (4) ----

235, 237, 240-241

---- fairseq/modules/grad_multiply.py (2) ----

186-187

---- fairseq/modules/gumbel_vector_quantizer.py (3) ----

250-252

---- fairseq/modules/kmeans_vector_quantizer.py (3) ----

183-185

---- fairseq/modules/layer_norm.py (5) ----

243-247

---- fairseq/modules/lightweight_convolution.py (11) ----

214-224

---- fairseq/modules/linearized_convolution.py (3) ----

253-255

---- fairseq/modules/multihead_attention.py (5) ----

204-208

---- fairseq/modules/positional_embedding.py (1) ----

262

---- fairseq/modules/scalar_bias.py (3) ----

256-258

---- fairseq/modules/sinusoidal_positional_embedding.py (2) ----

188-189

---- fairseq/modules/transformer_layer.py (8) ----

190-197

---- fairseq/modules/transformer_sentence_encoder.py (1) ----

248

---- fairseq/modules/unfold.py (1) ----

198

---- fairseq/modules/vggblock.py (1) ----

249

---- fairseq/optim/__init__.py (2) ----

3286-3287

---- fairseq/optim/adadelta.py (5) ----

3262-3266

---- fairseq/optim/adafactor.py (8) ----

3295-3302

---- fairseq/optim/adagrad.py (5) ----

3310-3314

---- fairseq/optim/adam.py (9) ----

3245-3253

---- fairseq/optim/adamax.py (8) ----

3322-3329

---- fairseq/optim/bmuf.py (7) ----

3303-3309

---- fairseq/optim/fairseq_optimizer.py (8) ----

3254-3261

---- fairseq/optim/fp16_optimizer.py (13) ----

3330-3342

---- fairseq/optim/fused_adam.py (7) ----

3315-3321

---- fairseq/optim/fused_lamb.py (5) ----

3267-3271

---- fairseq/optim/lr_scheduler/__init__.py (2) ----

3357-3358

---- fairseq/optim/lr_scheduler/cosine_lr_scheduler.py (3) ----

3372-3374

---- fairseq/optim/lr_scheduler/fairseq_lr_scheduler.py (1) ----

3352

---- fairseq/optim/lr_scheduler/fixed_schedule.py (3) ----

3346-3348

---- fairseq/optim/lr_scheduler/inverse_square_root_schedule.py (3) ----

3343-3345

---- fairseq/optim/lr_scheduler/polynomial_decay_schedule.py (3) ----

3366-3368

---- fairseq/optim/lr_scheduler/reduce_lr_on_plateau.py (3) ----

3369-3371

---- fairseq/optim/lr_scheduler/tri_stage_lr_scheduler.py (3) ----

3353-3355

---- fairseq/optim/lr_scheduler/triangular_lr_scheduler.py (3) ----

3349-3351

---- fairseq/optim/nag.py (8) ----

3272-3279

---- fairseq/optim/sgd.py (5) ----

3280-3284

---- fairseq/options.py (10) ----

67-73, 75-77

---- fairseq/pdb.py (4) ----

63-66

---- fairseq/registry.py (6) ----

144-146, 151-152, 158

---- fairseq/search.py (8) ----

38-45

---- fairseq/sequence_generator.py (11) ----

46-56

---- fairseq/tasks/__init__.py (16) ----

2820-2827, 2834, 2836, 2838-2839, 2842-2843, 2846-2847

---- fairseq/tasks/audio_pretraining.py (14) ----

2760-2773

---- fairseq/tasks/cross_lingual_lm.py (26) ----

3083-3095, 3097-3109

---- fairseq/tasks/denoising.py (56) ----

2908-2963

---- fairseq/tasks/fairseq_task.py (18) ----

2848-2860, 2862-2866

---- fairseq/tasks/language_modeling.py (45) ----

3031-3051, 3053-3054, 3056-3057, 3059-3060, 3062-3079

---- fairseq/tasks/legacy_masked_lm.py (26) ----

2786-2798, 2800-2812

---- fairseq/tasks/masked_lm.py (46) ----

2964-2990, 2992-2994, 2996-3011

---- fairseq/tasks/multilingual_denoising.py (18) ----

3012-3020, 3022-3030

---- fairseq/tasks/multilingual_masked_lm.py (44) ----

2556-2581, 2583-2585, 2587-2601

---- fairseq/tasks/multilingual_translation.py (46) ----

2709-2718, 2721-2722, 2725-2751, 2753-2759

---- fairseq/tasks/semisupervised_translation.py (43) ----

2513-2555

---- fairseq/tasks/sentence_prediction.py (38) ----

2867-2882, 2884-2885, 2887-2897, 2899-2907

---- fairseq/tasks/sentence_ranking.py (31) ----

2602-2615, 2617-2633

---- fairseq/tasks/translation.py (65) ----

2634-2642, 2645-2646, 2649-2651, 2653-2673, 2675-2681, 2683-2690, 2692-2694, 2696-2701, 2703-2708

---- fairseq/tasks/translation_from_pretrained_bart.py (10) ----

2774-2776, 2778-2781, 2783-2785

---- fairseq/tasks/translation_from_pretrained_xlm.py (3) ----

3080-3082

---- fairseq/tasks/translation_lev.py (12) ----

3110-3121

---- fairseq/tokenizer.py (2) ----

130-131

---- fairseq/utils.py (33) ----

78-81, 83, 86-90, 92-93, 96, 98-99, 104, 107-123
