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

To show a mutant:
    mutmut show <id>


Survived 🙁 (2749)

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

107-112

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

2034-2044

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

2045-2055

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

2026-2030, 2032-2033

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

148-159

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

1-6

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

2721-2722

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

2675-2680

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

2700-2706

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

2741-2745

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

2687-2692

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

2693-2699

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

2712-2719

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

2760-2765

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

2752-2759

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

2707-2711

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

2730-2740

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

2746-2751

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

2681-2686

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

2363

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

2448-2449

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

2320-2322

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

2316-2318

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

2328

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

2332-2335

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

2325-2326

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

2294-2296, 2299, 2303-2308

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

2139-2141

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

2187-2190, 2195, 2197-2202, 2204, 2207-2220

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

2413

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

2371-2374

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

2378-2387, 2389-2392, 2394-2402

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

2403-2407

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

2423-2431

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

2408-2410

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

2364-2370

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

2421-2422

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

2432-2434

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

2375-2377

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

2438-2440

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

2441-2442

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

2435-2437

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

2443-2444

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

2445-2447

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

2222-2223

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

2092-2135

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

2340-2362

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

2226-2227, 2229, 2236, 2239, 2242-2245, 2247-2250, 2252-2256, 2258, 2262, 2265, 2267-2274, 2276-2278, 2280, 2283, 2287, 2293

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

2450-2451

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

2454-2455

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

2452-2453

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

2142

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

2327

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

2088-2091

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

2145-2147

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

2143-2144

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

2061, 2063, 2071, 2074

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

2319

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

2309-2315

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

2336

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

2076-2087

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

2323

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

2136-2138

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

2324

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

2337-2338

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

2329-2331

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

2148, 2150-2152, 2154, 2157, 2159-2163, 2166-2167, 2169-2170, 2181, 2186

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

2224-2225

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

2221

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

94-95

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

160-170

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

128, 130-141

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

89

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

117-126

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

142-145

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

2660-2674

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

2635-2636, 2639-2640, 2642-2651

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

2652-2659

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

2618-2621

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

2626-2632

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

2573-2579, 2585

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

2586-2588, 2591-2597, 2599-2600, 2602-2603, 2605-2606

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

2548-2556

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

2557-2560, 2563-2564, 2566-2567, 2569-2570

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

2609-2613

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

2614-2615

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

2607-2608

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

2616-2617

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

833-834, 837-843, 849, 851, 853, 855-856, 859-860

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

1662-1670

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

1633, 1636-1646, 1648-1649, 1651-1652, 1654-1655, 1657-1658, 1660-1661

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

1234-1237

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

1160-1162

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

639-647

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

884

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

886-894, 897-901

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

1055-1084, 1086-1089, 1091-1097, 1099-1100, 1102-1103, 1105-1106, 1108-1109, 1111-1112

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

470-492, 494-495, 497-498, 500-501

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

1163, 1166-1227, 1229-1230, 1232-1233

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

1596-1602, 1608

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

1609-1616, 1619-1620, 1622-1623, 1625-1626, 1628-1629, 1631-1632

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

904-936, 938-939, 941-960, 962-963, 965-966, 968-969, 971-1014, 1016-1017, 1019-1020, 1022-1023, 1025-1026, 1028-1029, 1031-1032

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

527-562, 564-575, 577-579, 581-583, 585-599, 601-608, 610-611, 613-614, 616-632, 634-635, 637-638

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

1238-1241, 1244, 1246-1247, 1249-1250, 1252-1254, 1256, 1258-1259, 1261-1263, 1265, 1267-1268, 1270-1272, 1274, 1276-1277, 1279-1280, 1282-1283, 1285-1286, 1288-1290, 1293-1294, 1297, 1299-1300, 1302-1303, 1305-1306, 1308-1309, 1313-1316, 1320-1321, 1323-1329, 1335-1336, 1339, 1341-1343, 1346, 1358-1359, 1364, 1369, 1373, 1376, 1379, 1384-1393, 1400, 1403, 1405, 1408-1412, 1414, 1416, 1418, 1420, 1427, 1436-1437, 1446-1447, 1454, 1456, 1468, 1472-1480, 1483, 1485-1486, 1490, 1492, 1495, 1497, 1499-1502, 1504-1511, 1513-1522, 1524-1529, 1531-1534, 1536-1537, 1539-1544, 1546, 1549-1550, 1552, 1554, 1556-1557, 1559-1561, 1563-1564, 1566, 1569-1570, 1572, 1575, 1577, 1579-1580, 1582-1587, 1589-1590, 1592-1593

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

1113-1114, 1117-1143, 1145-1153, 1155-1156, 1158

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

648, 651-673, 675-676, 678-679, 681-690, 692-693, 695-700, 702-703, 705-706, 708-709, 711-712, 714-715

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

502-506

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

863-864, 866-867, 869-870, 872-873, 875-877, 879-880, 882-883

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

1801, 1803-1804, 1806-1807

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

1886-1893

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

1828-1847, 1849-1851, 1853, 1855, 1859, 1862, 1865-1869, 1871-1872

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

1873-1877, 1880-1881, 1883, 1885

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

1810-1817, 1819-1820, 1822, 1824, 1826

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

1794-1795, 1797-1798

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

1780-1787, 1789, 1791

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

1758-1763

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

1671, 1674-1692, 1694-1709, 1711-1730, 1732-1745, 1747-1748, 1750-1751, 1753-1754, 1756-1757

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

1764-1770

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

1771-1777

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

171-174, 177-186, 189-206, 208-209, 211-227, 229-230, 232-236, 238-239, 241-243, 245-252, 254-255, 257-259, 261-263, 265-300, 302-303, 305-306, 308-309, 311-312, 314-315, 317-318, 320-321

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

1035-1046, 1048-1049, 1051-1052

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

509-513, 515-516, 518-522, 524

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

322-323, 326-335, 338-358, 360-361, 363-373, 375-376, 378-379, 381-394, 396-403, 405-406, 408-409, 411-412, 414-415, 417-437, 439-440, 442-443, 445-446, 448-449, 451-452, 454-455, 457-458, 460-461, 463-464, 466-467

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

716, 719-757, 759-760, 762-763, 765-766, 768-772, 774-775, 777-783, 785-809, 811-819, 821

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

2495

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

2468-2470

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

2526-2533

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

2547

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

2487-2491

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

2474-2483

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

2521-2525

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

2544-2546

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

2498, 2500, 2503-2504

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

2542-2543

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

2471-2473

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

2492-2494

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

2508-2512

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

2457-2467

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

2513-2515

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

2516-2520

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

2456

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

2505-2507

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

2496-2497

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

2534-2541

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

2485

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

2484

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

2486

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

1951-1952

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

1945-1949

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

1960-1967

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

1968-1972

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

1983-1991

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

1921-1928

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

1907-1913

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

1929-1936

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

1894-1906

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

1914-1920

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

1973-1977

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

2003-2004

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

1996-1998

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

1995

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

1999-2001

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

1992-1994

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

2012-2014

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

2021-2023

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

2018-2020

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

2015-2017

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

1937-1944

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

1978-1982

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

7-13, 15-17

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

113-116

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

28-30, 35-36, 42

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

18-25

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

96-106

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

3153-3160, 3167, 3169, 3171-3172, 3175-3176, 3179-3180

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

3230-3243

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

2766-2778, 2780-2792

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

3027-3082

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

2946-2958, 2960-2964

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

3181-3201, 3203-3204, 3206-3207, 3209-3210, 3212-3229

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

3297-3309, 3311-3323

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

3095-3121, 3123-3125, 3127-3142

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

2965-2973, 2975-2983

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

2900-2925, 2927-2929, 2931-2945

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

3324-3333, 3336-3337, 3340-3366, 3368-3374

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

2984-3026

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

3256-3271, 3273-3274, 3276-3286, 3288-3296

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

2868-2881, 2883-2899

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

2793-2801, 2804-2805, 2808-2810, 2812-2832, 2834-2840, 2842-2849, 2851-2853, 2855-2860, 2862-2867

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

3244-3246, 3248-3251, 3253-3255

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

3143-3145

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

3083-3094

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

146-147

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

43-46, 48, 51-52, 54-55, 57-58, 61, 63-64, 69, 72-88
