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

To show a mutant:
    mutmut show <id>


Survived 🙁 (2749)

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

91-96

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

2616-2626

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

2605-2615

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

2597-2601, 2603-2604

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

159-170

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

1-6

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

2814-2815

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

2828-2833

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

2754-2760

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

2834-2838

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

2761-2766

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

2781-2787

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

2767-2774

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

2788-2793

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

2794-2801

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

2823-2827

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

2802-2812

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

2775-2780

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

2839-2844

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

3264

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

3283-3284

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

3124-3126

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

2975-2977

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

3123

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

2992-2995

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

3261-3262

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

3267-3269, 3272, 3276-3281

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

2996-2998

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

3086-3089, 3094, 3096-3101, 3103, 3106-3119

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

3347

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

3334-3337

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

3290-3299, 3301-3304, 3306-3314

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

3285-3289

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

3317-3325

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

3329-3331

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

3338-3344

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

3332-3333

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

3355-3357

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

3364-3366

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

3326-3328

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

3367-3368

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

3361-3363

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

3315-3316

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

3358-3360

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

3130-3131

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

2999-3042

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

3215-3237

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

3146-3147, 3149, 3156, 3159, 3162-3165, 3167-3170, 3172-3176, 3178, 3182, 3185, 3187-3194, 3196-3198, 3200, 3203, 3207, 3213

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

3373-3374

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

3371-3372

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

3369-3370

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

3238

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

3127

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

3132-3135

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

3136-3138

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

3128-3129

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

3247, 3249, 3257, 3260

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

3241

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

3139-3145

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

2991

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

2979-2990

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

3263

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

3082-3084

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

3085

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

3239-3240

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

3120-3122

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

3043, 3045-3047, 3049, 3052, 3054-3058, 3061-3062, 3064-3065, 3076, 3081

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

3265-3266

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

3282

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

89-90

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

97-107

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

8, 10-21

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

154

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

144-153

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

33-36

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

2712-2726

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

2737-2738, 2741-2742, 2744-2753

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

2727-2734

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

2697-2700

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

2705-2711

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

2652-2658, 2664

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

2665-2667, 2670-2676, 2678-2679, 2681-2682, 2684-2685

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

2627-2635

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

2636-2639, 2642-2643, 2645-2646, 2648-2649

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

2690-2694

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

2688-2689

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

2695-2696

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

2686-2687

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

956-957, 960-966, 972, 974, 976, 978-979, 982-983

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

1730-1738

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

1701, 1704-1714, 1716-1717, 1719-1720, 1722-1723, 1725-1726, 1728-1729

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

1356-1359

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

612-614

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

786-794

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

1558

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

984-992, 995-999

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

423-452, 454-457, 459-465, 467-468, 470-471, 473-474, 476-477, 479-480

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

1562-1584, 1586-1587, 1589-1590, 1592-1593

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

236, 239-300, 302-303, 305-306

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

1881-1887, 1893

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

1855-1862, 1865-1866, 1868-1869, 1871-1872, 1874-1875, 1877-1878

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

483-515, 517-518, 520-539, 541-542, 544-545, 547-548, 550-593, 595-596, 598-599, 601-602, 604-605, 607-608, 610-611

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

309-344, 346-357, 359-361, 363-365, 367-381, 383-390, 392-393, 395-396, 398-414, 416-417, 419-420

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

1000-1003, 1006, 1008-1009, 1011-1012, 1014-1016, 1018, 1020-1021, 1023-1025, 1027, 1029-1030, 1032-1034, 1036, 1038-1039, 1041-1042, 1044-1045, 1047-1048, 1050-1052, 1055-1056, 1059, 1061-1062, 1064-1065, 1067-1068, 1070-1071, 1075-1078, 1082-1083, 1085-1091, 1097-1098, 1101, 1103-1105, 1108, 1120-1121, 1126, 1131, 1135, 1138, 1141, 1146-1155, 1162, 1165, 1167, 1170-1174, 1176, 1178, 1180, 1182, 1189, 1198-1199, 1208-1209, 1216, 1218, 1230, 1234-1242, 1245, 1247-1248, 1252, 1254, 1257, 1259, 1261-1264, 1266-1273, 1275-1284, 1286-1291, 1293-1296, 1298-1299, 1301-1306, 1308, 1311-1312, 1314, 1316, 1318-1319, 1321-1323, 1325-1326, 1328, 1331-1332, 1334, 1337, 1339, 1341-1342, 1344-1349, 1351-1352, 1354-1355

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

189-190, 193-219, 221-229, 231-232, 234

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

1467, 1470-1492, 1494-1495, 1497-1498, 1500-1509, 1511-1512, 1514-1519, 1521-1522, 1524-1525, 1527-1528, 1530-1531, 1533-1534

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

941-945

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

1537-1538, 1540-1541, 1543-1544, 1546-1547, 1549-1551, 1553-1554, 1556-1557

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

1829, 1831-1832, 1834-1835

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

1812-1819

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

1754-1773, 1775-1777, 1779, 1781, 1785, 1788, 1791-1795, 1797-1798

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

1799-1803, 1806-1807, 1809, 1811

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

1838-1845, 1847-1848, 1850, 1852, 1854

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

1822-1823, 1825-1826

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

1741-1748, 1750, 1752

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

1695-1700

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

1594, 1597-1615, 1617-1632, 1634-1653, 1655-1668, 1670-1671, 1673-1674, 1676-1677, 1679-1680

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

1688-1694

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

1681-1687

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

615-618, 621-630, 633-650, 652-653, 655-671, 673-674, 676-680, 682-683, 685-687, 689-696, 698-699, 701-703, 705-707, 709-744, 746-747, 749-750, 752-753, 755-756, 758-759, 761-762, 764-765

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

768-779, 781-782, 784-785

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

173-177, 179-180, 182-186, 188

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

795-796, 799-808, 811-831, 833-834, 836-846, 848-849, 851-852, 854-867, 869-876, 878-879, 881-882, 884-885, 887-888, 890-910, 912-913, 915-916, 918-919, 921-922, 924-925, 927-928, 930-931, 933-934, 936-937, 939-940

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

1360, 1363-1401, 1403-1404, 1406-1407, 1409-1410, 1412-1416, 1418-1419, 1421-1427, 1429-1453, 1455-1463, 1465

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

1946

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

1900-1902

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

1947-1954

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

1894

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

1895-1899

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

1965-1974

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

1906-1910

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

1903-1905

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

1978, 1980, 1983-1984

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

1931-1932

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

1960-1962

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

1915-1917

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

1955-1959

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

1933-1943

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

1911-1913

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

1926-1930

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

1985

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

1975-1977

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

1963-1964

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

1918-1925

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

1945

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

1944

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

1914

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

2904-2905

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

2858-2862

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

2881-2888

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

2876-2880

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

2926-2934

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

2935-2942

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

2889-2895

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

2863-2870

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

2845-2857

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

2896-2902

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

2871-2875

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

2956-2957

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

2968-2970

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

2974

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

2971-2973

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

2952-2954

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

2946-2948

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

2943-2945

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

2949-2951

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

2965-2967

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

2918-2925

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

2913-2917

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

133-139, 141-143

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

83-86

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

110-112, 117-118, 124

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

125-132

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

22-32

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

2410-2417, 2424, 2426, 2428-2429, 2432-2433, 2436-2437

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

2292-2305

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

2058-2070, 2072-2084

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

2085-2140

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

2027-2039, 2041-2045

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

2216-2236, 2238-2239, 2241-2242, 2244-2245, 2247-2264

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

2265-2277, 2279-2291

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

2441-2467, 2469-2471, 2473-2488

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

2532-2540, 2542-2550

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

2357-2382, 2384-2386, 2388-2402

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

2306-2315, 2318-2319, 2322-2348, 2350-2356

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

2489-2531

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

1986-2001, 2003-2004, 2006-2016, 2018-2026

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

2563-2576, 2578-2594

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

2141-2149, 2152-2153, 2156-2158, 2160-2180, 2182-2188, 2190-2197, 2199-2201, 2203-2208, 2210-2215

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

2551-2553, 2555-2558, 2560-2562

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

2438-2440

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

2046-2057

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

87-88

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

37-40, 42, 45-46, 48-49, 51-52, 55, 57-58, 63, 66-82
