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

To show a mutant:
    mutmut show <id>


Survived 🙁 (2749)

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

1-6

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

666-676

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

677-687

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

658-662, 664-665

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

159-170

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

123-128

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

1562-1563

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

1607-1612

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

1632-1638

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

1627-1631

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

1613-1618

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

1645-1651

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

1577-1584

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

1639-1644

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

1619-1626

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

1585-1589

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

1596-1606

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

1590-1595

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

1571-1576

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

328

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

485-486

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

289-291

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

351-353

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

174

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

436-439

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

185-186

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

357-359, 362, 366-371

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

386-388

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

187-190, 195, 197-202, 204, 207-220

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

489

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

565-568

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

497-506, 508-511, 513-521

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

554-558

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

525-533

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

551-553

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

544-550

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

534-535

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

522-524

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

541-543

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

562-564

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

569-570

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

536-538

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

539-540

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

559-561

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

348-349

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

389-432

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

296-318

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

221-222, 224, 231, 234, 237-240, 242-245, 247-251, 253, 257, 260, 262-269, 271-273, 275, 278, 282, 288

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

483-484

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

479-480

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

481-482

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

173

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

326

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

175-178

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

181-183

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

179-180

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

334, 336, 344, 347

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

435

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

319-325

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

350

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

373-384

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

327

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

354-356

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

385

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

433-434

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

292-294

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

440, 442-444, 446, 449, 451-455, 458-459, 461-462, 473, 478

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

171-172

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

184

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

11-12

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

112-122

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

98, 100-111

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

88

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

67-76

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

93-96

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

918-932

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

935-936, 939-940, 942-951

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

910-917

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

582-585

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

590-596

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

599-605, 611

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

635-637, 640-646, 648-649, 651-652, 654-655

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

626-634

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

612-615, 618-619, 621-622, 624-625

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

571-575

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

576-577

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

578-579

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

580-581

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

1682-1683, 1686-1692, 1698, 1700, 1702, 1704-1705, 1708-1709

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

3075-3083

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

3084, 3087-3097, 3099-3100, 3102-3103, 3105-3106, 3108-3109, 3111-3112

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

1919-1922

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

3072-3074

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

1910-1918

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

2291

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

2241-2249, 2252-2256

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

2032-2061, 2063-2066, 2068-2074, 2076-2077, 2079-2080, 2082-2083, 2085-2086, 2088-2089

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

2259-2281, 2283-2284, 2286-2287, 2289-2290

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

2316, 2319-2380, 2382-2383, 2385-2386

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

3231-3237, 3243

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

3244-3251, 3254-3255, 3257-3258, 3260-3261, 3263-3264, 3266-3267

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

2745-2777, 2779-2780, 2782-2801, 2803-2804, 2806-2807, 2809-2810, 2812-2855, 2857-2858, 2860-2861, 2863-2864, 2866-2867, 2869-2870, 2872-2873

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

1712-1747, 1749-1760, 1762-1764, 1766-1768, 1770-1784, 1786-1793, 1795-1796, 1798-1799, 1801-1817, 1819-1820, 1822-1823

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

2387-2390, 2393, 2395-2396, 2398-2399, 2401-2403, 2405, 2407-2408, 2410-2412, 2414, 2416-2417, 2419-2421, 2423, 2425-2426, 2428-2429, 2431-2432, 2434-2435, 2437-2439, 2442-2443, 2446, 2448-2449, 2451-2452, 2454-2455, 2457-2458, 2462-2465, 2469-2470, 2472-2478, 2484-2485, 2488, 2490-2492, 2495, 2507-2508, 2513, 2518, 2522, 2525, 2528, 2533-2542, 2549, 2552, 2554, 2557-2561, 2563, 2565, 2567, 2569, 2576, 2585-2586, 2595-2596, 2603, 2605, 2617, 2621-2629, 2632, 2634-2635, 2639, 2641, 2644, 2646, 2648-2651, 2653-2660, 2662-2671, 2673-2678, 2680-2683, 2685-2686, 2688-2693, 2695, 2698-2699, 2701, 2703, 2705-2706, 2708-2710, 2712-2713, 2715, 2718-2719, 2721, 2724, 2726, 2728-2729, 2731-2736, 2738-2739, 2741-2742

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

3025-3026, 3029-3055, 3057-3065, 3067-3068, 3070

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

1824, 1827-1849, 1851-1852, 1854-1855, 1857-1866, 1868-1869, 1871-1876, 1878-1879, 1881-1882, 1884-1885, 1887-1888, 1890-1891

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

2236-2240

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

2295-2296, 2298-2299, 2301-2302, 2304-2305, 2307-2309, 2311-2312, 2314-2315

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

3215, 3217-3218, 3220-3221

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

3205-3212

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

3133-3152, 3154-3156, 3158, 3160, 3164, 3167, 3170-3174, 3176-3177

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

3192-3196, 3199-3200, 3202, 3204

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

3115-3122, 3124-3125, 3127, 3129, 3131

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

3224-3225, 3227-3228

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

3180-3187, 3189, 3191

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

3282-3287

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

3288, 3291-3309, 3311-3326, 3328-3347, 3349-3362, 3364-3365, 3367-3368, 3370-3371, 3373-3374

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

3268-3274

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

3275-3281

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

2874-2877, 2880-2889, 2892-2909, 2911-2912, 2914-2930, 2932-2933, 2935-2939, 2941-2942, 2944-2946, 2948-2955, 2957-2958, 2960-2962, 2964-2966, 2968-3003, 3005-3006, 3008-3009, 3011-3012, 3014-3015, 3017-3018, 3020-3021, 3023-3024

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

1654-1665, 1667-1668, 1670-1671

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

1894-1898, 1900-1901, 1903-1907, 1909

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

2090-2091, 2094-2103, 2106-2126, 2128-2129, 2131-2141, 2143-2144, 2146-2147, 2149-2162, 2164-2171, 2173-2174, 2176-2177, 2179-2180, 2182-2183, 2185-2205, 2207-2208, 2210-2211, 2213-2214, 2216-2217, 2219-2220, 2222-2223, 2225-2226, 2228-2229, 2231-2232, 2234-2235

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

1923, 1926-1964, 1966-1967, 1969-1970, 1972-1973, 1975-1979, 1981-1982, 1984-1990, 1992-2016, 2018-2026, 2028

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

732

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

733-735

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

751-758

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

773

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

759-763

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

694-703

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

726-730

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

774-776

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

736, 738, 741-742

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

746-747

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

743-745

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

748-750

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

768-772

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

704-714

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

777-779

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

689-693

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

765

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

723-725

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

766-767

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

715-722

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

764

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

688

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

731

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

781-782

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

837-841

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

821-828

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

873-877

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

842-850

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

865-872

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

851-857

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

800-807

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

808-820

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

858-864

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

790-794

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

879-880

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

895-897

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

894

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

907-909

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

904-906

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

901-903

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

891-893

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

898-900

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

888-890

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

829-836

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

795-799

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

77-83, 85-87

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

7-10

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

142-144, 149-150, 156

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

59-66

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

129-139

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

959-966, 973, 975, 977-978, 981-982, 985-986

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

1467-1480

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

1108-1120, 1122-1134

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

1341-1396

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

1542-1554, 1556-1560

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

1493-1513, 1515-1516, 1518-1519, 1521-1522, 1524-1541

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

1227-1239, 1241-1253

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

1019-1045, 1047-1049, 1051-1066

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

1397-1405, 1407-1415

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

1181-1206, 1208-1210, 1212-1226

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

1416-1425, 1428-1429, 1432-1458, 1460-1466

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

1135-1177

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

1067-1082, 1084-1085, 1087-1097, 1099-1107

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

987-1000, 1002-1018

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

1266-1274, 1277-1278, 1281-1283, 1285-1305, 1307-1313, 1315-1322, 1324-1326, 1328-1333, 1335-1340

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

1254-1256, 1258-1261, 1263-1265

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

1178-1180

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

1481-1492

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

157-158

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

13-16, 18, 21-25, 27-28, 31, 33, 39, 42-58
