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

To show a mutant:
    mutmut show <id>


Survived 🙁 (2749)

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

78-83

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

1409-1419

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

1420-1430

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

1401-1405, 1407-1408

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

49-60

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

28-33

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

3334-3335

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

3300-3305

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

3326-3332

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

3290-3294

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

3284-3289

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

3362-3368

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

3343-3350

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

3369-3374

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

3318-3325

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

3295-3299

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

3351-3361

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

3312-3317

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

3306-3311

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

483

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

654-655

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

331-333

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

537-539

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

309

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

327-330

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

562-563

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

547-549, 552, 556-561

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

336-338

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

256-259, 264, 266-271, 273, 276-289

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

611

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

621-624

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

564-573, 575-578, 580-588

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

637-641

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

625-633

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

600-602

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

593-599

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

589-590

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

645-647

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

634-636

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

603-605

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

619-620

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

642-644

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

591-592

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

606-608

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

481-482

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

485-528

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

456-478

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

379-380, 382, 389, 392, 395-398, 400-403, 405-409, 411, 415, 418, 420-427, 429-431, 433, 436, 440, 446

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

648-649

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

650-651

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

652-653

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

339

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

479

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

530-533

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

534-536

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

448-449

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

295, 297, 305, 308

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

484

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

540-546

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

480

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

315-326

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

447

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

452-454

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

529

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

450-451

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

310-312

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

340, 342-344, 346, 349, 351-355, 358-359, 361-362, 373, 378

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

334-335

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

313

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

97-98

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

38-48

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

2, 4-15

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

84

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

18-27

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

167-170

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

675-689

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

658-659, 662-663, 665-674

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

690-697

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

241-244

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

249-255

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

207-213, 219

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

220-222, 225-231, 233-234, 236-237, 239-240

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

182-190

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

191-194, 197-198, 200-201, 203-204

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

175-179

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

180-181

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

171-172

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

173-174

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

2424-2425, 2428-2434, 2440, 2442, 2444, 2446-2447, 2450-2451

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

3077-3085

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

3086, 3089-3099, 3101-3102, 3104-3105, 3107-3108, 3110-3111, 3113-3114

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

1431-1434

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

2175-2177

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

1905-1913

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

2266

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

2582-2590, 2593-2597

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

2647-2676, 2678-2681, 2683-2689, 2691-2692, 2694-2695, 2697-2698, 2700-2701, 2703-2704

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

2143-2165, 2167-2168, 2170-2171, 2173-2174

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

2070, 2073-2134, 2136-2137, 2139-2140

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

3117-3123, 3129

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

3130-3137, 3140-3141, 3143-3144, 3146-3147, 3149-3150, 3152-3153

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

2725-2757, 2759-2760, 2762-2781, 2783-2784, 2786-2787, 2789-2790, 2792-2835, 2837-2838, 2840-2841, 2843-2844, 2846-2847, 2849-2850, 2852-2853

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

1437-1472, 1474-1485, 1487-1489, 1491-1493, 1495-1509, 1511-1518, 1520-1521, 1523-1524, 1526-1542, 1544-1545, 1547-1548

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

1549-1552, 1555, 1557-1558, 1560-1561, 1563-1565, 1567, 1569-1570, 1572-1574, 1576, 1578-1579, 1581-1583, 1585, 1587-1588, 1590-1591, 1593-1594, 1596-1597, 1599-1601, 1604-1605, 1608, 1610-1611, 1613-1614, 1616-1617, 1619-1620, 1624-1627, 1631-1632, 1634-1640, 1646-1647, 1650, 1652-1654, 1657, 1669-1670, 1675, 1680, 1684, 1687, 1690, 1695-1704, 1711, 1714, 1716, 1719-1723, 1725, 1727, 1729, 1731, 1738, 1747-1748, 1757-1758, 1765, 1767, 1779, 1783-1791, 1794, 1796-1797, 1801, 1803, 1806, 1808, 1810-1813, 1815-1822, 1824-1833, 1835-1840, 1842-1845, 1847-1848, 1850-1855, 1857, 1860-1861, 1863, 1865, 1867-1868, 1870-1872, 1874-1875, 1877, 1880-1881, 1883, 1886, 1888, 1890-1891, 1893-1898, 1900-1901, 1903-1904

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

2598-2599, 2602-2628, 2630-2638, 2640-2641, 2643

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

2178, 2181-2203, 2205-2206, 2208-2209, 2211-2220, 2222-2223, 2225-2230, 2232-2233, 2235-2236, 2238-2239, 2241-2242, 2244-2245

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

2065-2069

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

2561-2562, 2564-2565, 2567-2568, 2570-2571, 2573-2575, 2577-2578, 2580-2581

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

2991, 2993-2994, 2996-2997

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

2981-2988

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

2999-3018, 3020-3022, 3024, 3026, 3030, 3033, 3036-3040, 3042-3043

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

2968-2972, 2975-2976, 2978, 2980

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

3060-3067, 3069-3070, 3072, 3074, 3076

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

2963-2964, 2966-2967

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

3046-3053, 3055, 3057

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

2861-2866

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

2874, 2877-2895, 2897-2912, 2914-2933, 2935-2948, 2950-2951, 2953-2954, 2956-2957, 2959-2960

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

2867-2873

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

2854-2860

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

1914-1917, 1920-1929, 1932-1949, 1951-1952, 1954-1970, 1972-1973, 1975-1979, 1981-1982, 1984-1986, 1988-1995, 1997-1998, 2000-2002, 2004-2006, 2008-2043, 2045-2046, 2048-2049, 2051-2052, 2054-2055, 2057-2058, 2060-2061, 2063-2064

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

2248-2259, 2261-2262, 2264-2265

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

2707-2711, 2713-2714, 2716-2720, 2722

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

2268-2269, 2272-2281, 2284-2304, 2306-2307, 2309-2319, 2321-2322, 2324-2325, 2327-2340, 2342-2349, 2351-2352, 2354-2355, 2357-2358, 2360-2361, 2363-2383, 2385-2386, 2388-2389, 2391-2392, 2394-2395, 2397-2398, 2400-2401, 2403-2404, 2406-2407, 2409-2410, 2412-2413

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

2452, 2455-2493, 2495-2496, 2498-2499, 2501-2502, 2504-2508, 2510-2511, 2513-2519, 2521-2545, 2547-2555, 2557

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

1360

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

1327-1329

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

1341-1348

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

1325

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

1313-1317

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

1330-1339

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

1387-1391

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

1362-1364

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

1318, 1320, 1323-1324

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

1392-1393

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

1394-1396

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

1365-1367

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

1368-1372

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

1349-1359

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

1307-1309

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

1374-1378

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

1361

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

1310-1312

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

1397-1398

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

1379-1386

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

1340

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

1373

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

1326

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

3226-3227

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

3203-3207

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

3154-3161

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

3240-3244

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

3208-3216

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

3162-3169

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

3245-3251

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

3217-3224

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

3190-3202

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

3170-3176

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

3235-3239

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

3268-3269

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

3258-3260

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

3277

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

3261-3263

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

3281-3283

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

3252-3254

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

3278-3280

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

3255-3257

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

3264-3266

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

3177-3184

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

3185-3189

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

156-162, 164-166

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

34-37

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

63-65, 70-71, 77

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

89-96

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

99-109

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

1072-1079, 1086, 1088, 1090-1091, 1094-1095, 1098-1099

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

1036-1049

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

1100-1112, 1114-1126

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

1202-1257

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

717-729, 731-735

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

1258-1278, 1280-1281, 1283-1284, 1286-1287, 1289-1306

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

966-978, 980-992

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

833-859, 861-863, 865-880

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

698-706, 708-716

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

787-812, 814-816, 818-832

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

736-745, 748-749, 752-778, 780-786

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

993-1035

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

925-940, 942-943, 945-955, 957-965

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

893-906, 908-924

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

1127-1135, 1138-1139, 1142-1144, 1146-1166, 1168-1174, 1176-1183, 1185-1187, 1189-1194, 1196-1201

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

881-883, 885-888, 890-892

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

1050-1052

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

1053-1064

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

16-17

---- fairseq/utils.py (32) ----

110-113, 115, 118-122, 124-125, 128, 130, 136, 139-155
