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

To show a mutant:
    mutmut show <id>


Survived 🙁 (2749)

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

117-122

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

2406-2416

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

2395-2405

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

2387-2391, 2393-2394

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

151-162

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

163-168

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

632-633

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

618-623

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

647-653

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

582-586

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

598-603

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

624-630

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

654-661

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

592-597

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

604-611

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

587-591

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

571-581

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

641-646

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

612-617

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

173

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

479-480

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

419-421

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

389-391

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

176

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

365-368

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

171-172

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

374-376, 379, 383-388

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

232-234

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

445-448, 453, 455-460, 462, 465-478

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

542

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

525-528

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

500-509, 511-514, 516-524

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

535-539

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

562-570

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

556-558

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

493-499

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

489-490

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

550-552

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

559-561

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

532-534

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

491-492

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

553-555

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

487-488

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

529-531

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

443-444

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

321-364

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

393-415

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

251-252, 254, 261, 264, 267-270, 272-275, 277-281, 283, 287, 290, 292-299, 301-303, 305, 308, 312, 318

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

483-484

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

481-482

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

485-486

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

250

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

174

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

237-240

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

190-192

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

369-370

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

427, 429, 437, 440

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

441

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

241-247

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

235

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

178-189

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

442

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

416-418

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

236

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

248-249

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

371-373

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

193, 195-197, 199, 202, 204-208, 211-212, 214-215, 226, 231

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

319-320

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

175

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

169-170

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

140-150

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

126, 128-139

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

55

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

1-10

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

22-25

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

3119-3133

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

3136-3137, 3140-3141, 3143-3152

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

3111-3118

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

3026-3029

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

3034-3040

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

3052-3058, 3064

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

3079-3081, 3084-3090, 3092-3093, 3095-3096, 3098-3099

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

3041-3049

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

3065-3068, 3071-3072, 3074-3075, 3077-3078

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

3100-3104

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

3107-3108

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

3109-3110

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

3105-3106

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

1843-1844, 1847-1853, 1859, 1861, 1863, 1865-1866, 1869-1870

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

2114-2122

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

2085, 2088-2098, 2100-2101, 2103-2104, 2106-2107, 2109-2110, 2112-2113

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

2079-2082

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

2042-2044

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

1824-1832

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

2083

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

1092-1100, 1103-1107

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

1635-1664, 1666-1669, 1671-1677, 1679-1680, 1682-1683, 1685-1686, 1688-1689, 1691-1692

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

2047-2069, 2071-2072, 2074-2075, 2077-2078

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

816, 819-880, 882-883, 885-886

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

2265-2271, 2277

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

2239-2246, 2249-2250, 2252-2253, 2255-2256, 2258-2259, 2261-2262

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

1695-1727, 1729-1730, 1732-1751, 1753-1754, 1756-1757, 1759-1760, 1762-1805, 1807-1808, 1810-1811, 1813-1814, 1816-1817, 1819-1820, 1822-1823

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

889-924, 926-937, 939-941, 943-945, 947-961, 963-970, 972-973, 975-976, 978-994, 996-997, 999-1000

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

1108-1111, 1114, 1116-1117, 1119-1120, 1122-1124, 1126, 1128-1129, 1131-1133, 1135, 1137-1138, 1140-1142, 1144, 1146-1147, 1149-1150, 1152-1153, 1155-1156, 1158-1160, 1163-1164, 1167, 1169-1170, 1172-1173, 1175-1176, 1178-1179, 1183-1186, 1190-1191, 1193-1199, 1205-1206, 1209, 1211-1213, 1216, 1228-1229, 1234, 1239, 1243, 1246, 1249, 1254-1263, 1270, 1273, 1275, 1278-1282, 1284, 1286, 1288, 1290, 1297, 1306-1307, 1316-1317, 1324, 1326, 1338, 1342-1350, 1353, 1355-1356, 1360, 1362, 1365, 1367, 1369-1372, 1374-1381, 1383-1392, 1394-1399, 1401-1404, 1406-1407, 1409-1414, 1416, 1419-1420, 1422, 1424, 1426-1427, 1429-1431, 1433-1434, 1436, 1439-1440, 1442, 1445, 1447, 1449-1450, 1452-1457, 1459-1460, 1462-1463

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

769-770, 773-799, 801-809, 811-812, 814

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

1001, 1004-1026, 1028-1029, 1031-1032, 1034-1043, 1045-1046, 1048-1053, 1055-1056, 1058-1059, 1061-1062, 1064-1065, 1067-1068

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

2037-2041

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

1071-1072, 1074-1075, 1077-1078, 1080-1081, 1083-1085, 1087-1088, 1090-1091

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

2125, 2127-2128, 2130-2131

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

2166-2173

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

2175-2194, 2196-2198, 2200, 2202, 2206, 2209, 2212-2216, 2218-2219

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

2132-2136, 2139-2140, 2142, 2144

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

2222-2229, 2231-2232, 2234, 2236, 2238

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

2147-2148, 2150-2151

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

2154-2161, 2163, 2165

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

2372-2377

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

2285, 2288-2306, 2308-2323, 2325-2344, 2346-2359, 2361-2362, 2364-2365, 2367-2368, 2370-2371

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

2378-2384

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

2278-2284

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

1482-1485, 1488-1497, 1500-1517, 1519-1520, 1522-1538, 1540-1541, 1543-1547, 1549-1550, 1552-1554, 1556-1563, 1565-1566, 1568-1570, 1572-1574, 1576-1611, 1613-1614, 1616-1617, 1619-1620, 1622-1623, 1625-1626, 1628-1629, 1631-1632

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

1873-1884, 1886-1887, 1889-1890

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

1466-1470, 1472-1473, 1475-1479, 1481

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

1891-1892, 1895-1904, 1907-1927, 1929-1930, 1932-1942, 1944-1945, 1947-1948, 1950-1963, 1965-1972, 1974-1975, 1977-1978, 1980-1981, 1983-1984, 1986-2006, 2008-2009, 2011-2012, 2014-2015, 2017-2018, 2020-2021, 2023-2024, 2026-2027, 2029-2030, 2032-2033, 2035-2036

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

662, 665-703, 705-706, 708-709, 711-712, 714-718, 720-721, 723-729, 731-755, 757-765, 767

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

3364

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

3312-3314

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

3298-3305

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

3315

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

3307-3311

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

3288-3297

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

3321-3325

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

3335-3337

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

3365, 3367, 3370-3371

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

3333-3334

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

3372-3374

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

3329-3331

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

3359-3363

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

3348-3358

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

3285-3287

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

3316-3320

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

3332

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

3326-3328

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

3283-3284

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

3338-3345

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

3347

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

3306

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

3346

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

3216-3217

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

3230-3234

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

3235-3242

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

3210-3214

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

3178-3186

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

3194-3201

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

3158-3164

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

3243-3250

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

3165-3177

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

3187-3193

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

3153-3157

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

3267-3268

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

3257-3259

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

3282

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

3279-3281

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

3260-3262

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

3276-3278

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

3263-3265

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

3254-3256

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

3251-3253

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

3202-3209

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

3225-3229

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

11-17, 19-21

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

26-29

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

32-34, 39-40, 46

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

47-54

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

60-70

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

2710-2717, 2724, 2726, 2728-2729, 2732-2733, 2736-2737

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

2959-2972

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

2676-2688, 2690-2702

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

2601-2656

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

2567-2579, 2581-2585

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

2835-2855, 2857-2858, 2860-2861, 2863-2864, 2866-2883

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

2465-2477, 2479-2491

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

2417-2443, 2445-2447, 2449-2464

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

2657-2665, 2667-2675

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

2789-2814, 2816-2818, 2820-2834

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

2738-2747, 2750-2751, 2754-2780, 2782-2788

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

2492-2534

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

2973-2988, 2990-2991, 2993-3003, 3005-3013

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

2535-2548, 2550-2566

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

2884-2892, 2895-2896, 2899-2901, 2903-2923, 2925-2931, 2933-2940, 2942-2944, 2946-2951, 2953-2958

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

2589-2591, 2593-2596, 2598-2600

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

2586-2588

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

3014-3025

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

123-124

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

71-74, 76, 79-80, 82-83, 85-86, 89, 91-92, 97, 100-116
