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

To show a mutant:
    mutmut show <id>


Survived 🙁 (2749)

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

99-104

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

2007-2017

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

1996-2006

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

1988-1992, 1994-1995

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

77-88

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

122-127

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

2704-2705

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

2675-2680

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

2721-2727

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

2681-2685

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

2728-2733

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

2753-2759

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

2734-2741

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

2686-2691

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

2713-2720

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

2742-2746

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

2692-2702

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

2747-2752

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

2669-2674

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

3133

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

3373-3374

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

3070-3072

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

3088-3090

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

3132

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

3023-3026

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

3079-3080

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

3142-3144, 3147, 3151-3156

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

3065-3067

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

3230-3233, 3238, 3240-3245, 3247, 3250-3263

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

3345

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

3356-3359

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

3286-3295, 3297-3300, 3302-3310

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

3311-3315

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

3329-3337

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

3353-3355

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

3322-3328

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

3365-3366

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

3362-3364

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

3283-3285

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

3319-3321

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

3338-3339

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

3316-3318

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

3360-3361

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

3340-3342

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

3068-3069

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

2975-3018

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

3042-3064

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

3158-3159, 3161, 3168, 3171, 3174-3177, 3179-3182, 3184-3188, 3190, 3194, 3197, 3199-3206, 3208-3210, 3212, 3215, 3219, 3225

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

3369-3370

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

3367-3368

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

3371-3372

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

3138

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

3019

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

3226-3229

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

3139-3141

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

3021-3022

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

3269, 3271, 3279, 3282

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

3027

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

3081-3087

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

3020

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

3029-3040

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

3157

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

3134-3136

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

3078

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

3130-3131

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

3075-3077

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

3091, 3093-3095, 3097, 3100, 3102-3106, 3109-3110, 3112-3113, 3124, 3129

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

3073-3074

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

3137

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

158-159

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

160-170

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

144, 146-157

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

7

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

89-98

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

139-142

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

2654-2668

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

2629-2630, 2633-2634, 2636-2645

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

2646-2653

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

2837-2840

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

2830-2836

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

2785-2791, 2797

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

2798-2800, 2803-2809, 2811-2812, 2814-2815, 2817-2818

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

2774-2782

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

2760-2763, 2766-2767, 2769-2770, 2772-2773

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

2819-2823

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

2828-2829

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

2826-2827

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

2824-2825

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

1244-1245, 1248-1254, 1260, 1262, 1264, 1266-1267, 1270-1271

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

1594-1602

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

1603, 1606-1616, 1618-1619, 1621-1622, 1624-1625, 1627-1628, 1630-1631

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

231-234

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

253-255

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

1173-1181

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

1592

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

1306-1314, 1317-1321

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

173-202, 204-207, 209-215, 217-218, 220-221, 223-224, 226-227, 229-230

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

1274-1296, 1298-1299, 1301-1302, 1304-1305

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

1521, 1524-1585, 1587-1588, 1590-1591

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

1658-1664, 1670

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

1632-1639, 1642-1643, 1645-1646, 1648-1649, 1651-1652, 1654-1655

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

1324-1356, 1358-1359, 1361-1380, 1382-1383, 1385-1386, 1388-1389, 1391-1434, 1436-1437, 1439-1440, 1442-1443, 1445-1446, 1448-1449, 1451-1452

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

705-740, 742-753, 755-757, 759-761, 763-777, 779-786, 788-789, 791-792, 794-810, 812-813, 815-816

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

817-820, 823, 825-826, 828-829, 831-833, 835, 837-838, 840-842, 844, 846-847, 849-851, 853, 855-856, 858-859, 861-862, 864-865, 867-869, 872-873, 876, 878-879, 881-882, 884-885, 887-888, 892-895, 899-900, 902-908, 914-915, 918, 920-922, 925, 937-938, 943, 948, 952, 955, 958, 963-972, 979, 982, 984, 987-991, 993, 995, 997, 999, 1006, 1015-1016, 1025-1026, 1033, 1035, 1047, 1051-1059, 1062, 1064-1065, 1069, 1071, 1074, 1076, 1078-1081, 1083-1090, 1092-1101, 1103-1108, 1110-1113, 1115-1116, 1118-1123, 1125, 1128-1129, 1131, 1133, 1135-1136, 1138-1140, 1142-1143, 1145, 1148-1149, 1151, 1154, 1156, 1158-1159, 1161-1166, 1168-1169, 1171-1172

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

1187-1188, 1191-1217, 1219-1227, 1229-1230, 1232

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

1453, 1456-1478, 1480-1481, 1483-1484, 1486-1495, 1497-1498, 1500-1505, 1507-1508, 1510-1511, 1513-1514, 1516-1517, 1519-1520

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

1182-1186

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

404-405, 407-408, 410-411, 413-414, 416-418, 420-421, 423-424

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

1727, 1729-1730, 1732-1733

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

1717-1724

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

1672-1691, 1693-1695, 1697, 1699, 1703, 1706, 1709-1713, 1715-1716

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

1748-1752, 1755-1756, 1758, 1760

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

1763-1770, 1772-1773, 1775, 1777, 1779

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

1782-1783, 1785-1786

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

1736-1743, 1745, 1747

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

1787-1792

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

1800, 1803-1821, 1823-1838, 1840-1859, 1861-1874, 1876-1877, 1879-1880, 1882-1883, 1885-1886

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

1887-1893

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

1793-1799

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

552-555, 558-567, 570-587, 589-590, 592-608, 610-611, 613-617, 619-620, 622-624, 626-633, 635-636, 638-640, 642-644, 646-681, 683-684, 686-687, 689-690, 692-693, 695-696, 698-699, 701-702

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

427-438, 440-441, 443-444

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

237-241, 243-244, 246-250, 252

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

256-257, 260-269, 272-292, 294-295, 297-307, 309-310, 312-313, 315-328, 330-337, 339-340, 342-343, 345-346, 348-349, 351-371, 373-374, 376-377, 379-380, 382-383, 385-386, 388-389, 391-392, 394-395, 397-398, 400-401

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

445, 448-486, 488-489, 491-492, 494-495, 497-501, 503-504, 506-512, 514-538, 540-548, 550

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

1944

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

1922-1924

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

1914-1921

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

1982

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

1972-1976

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

1945-1954

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

1894-1898

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

1969-1971

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

1907, 1909, 1912-1913

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

1977-1978

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

1979-1981

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

1983-1985

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

1925-1929

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

1932-1942

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

1958-1960

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

1902-1906

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

1943

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

1955-1957

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

1899-1900

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

1961-1968

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

1931

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

1901

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

1930

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

2897-2898

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

2906-2910

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

2872-2879

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

2867-2871

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

2858-2866

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

2888-2895

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

2929-2935

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

2880-2887

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

2845-2857

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

2936-2942

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

2911-2915

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

2953-2954

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

2943-2945

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

2971

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

2965-2967

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

2949-2951

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

2972-2974

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

2946-2948

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

2968-2970

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

2962-2964

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

2916-2923

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

2924-2928

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

128-134, 136-138

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

1-4

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

107-109, 114-115, 121

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

12-19

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

66-76

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

2306-2313, 2320, 2322, 2324-2325, 2328-2329, 2332-2333

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

2158-2171

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

2172-2184, 2186-2198

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

2568-2623

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

2361-2373, 2375-2379

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

2250-2270, 2272-2273, 2275-2276, 2278-2279, 2281-2298

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

2334-2346, 2348-2360

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

2380-2406, 2408-2410, 2412-2427

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

2139-2147, 2149-2157

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

2018-2043, 2045-2047, 2049-2063

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

2199-2208, 2211-2212, 2215-2241, 2243-2249

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

2096-2138

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

2428-2443, 2445-2446, 2448-2458, 2460-2468

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

2064-2077, 2079-2095

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

2481-2489, 2492-2493, 2496-2498, 2500-2520, 2522-2528, 2530-2537, 2539-2541, 2543-2548, 2550-2555

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

2556-2558, 2560-2563, 2565-2567

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

2624-2626

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

2469-2480

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

5-6

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

20-23, 25, 28-32, 34-35, 38, 40, 46, 49-65
