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

To show a mutant:
    mutmut show <id>


Survived 🙁 (2750)

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

58-63

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

1191-1201

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

1180-1190

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

1204-1208, 1210-1211

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

30-41

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

24-29

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

3171-3172

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

3126-3131

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

3185-3191

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

3180-3184

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

3159-3164

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

3152-3158

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

3132-3139

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

3140-3145

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

3118-3125

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

3165-3169

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

3107-3117

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

3192-3197

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

3146-3151

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

292

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

479-480

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

242-244

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

232-234

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

293

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

402-405

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

474-475

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

364-366, 369, 373-378

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

397-399

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

173-176, 181, 183-188, 190, 193-206

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

537

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

521-524

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

496-505, 507-510, 512-520

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

563-567

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

545-553

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

491-493

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

525-531

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

494-495

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

568-570

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

532-534

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

557-559

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

489-490

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

560-562

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

487-488

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

554-556

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

362-363

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

248-291

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

209-231

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

406-407, 409, 416, 419, 422-425, 427-430, 432-436, 438, 442, 445, 447-454, 456-458, 460, 463, 467, 473

---- 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) ----

392

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

171

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

300-303

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

245-247

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

393-394

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

309, 311, 319, 322

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

396

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

235-241

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

207

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

380-391

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

395

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

294-296

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

476

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

477-478

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

297-299

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

323, 325-327, 329, 332, 334-338, 341-342, 344-345, 356, 361

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

400-401

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

172

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

22-23

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

126-136

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

157, 159-170

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

42

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

68-77

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

1-4

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

1342-1356

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

1359-1360, 1363-1364, 1366-1375

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

1376-1383

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

3356-3359

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

3349-3355

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

3315-3321, 3327

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

3328-3330, 3333-3339, 3341-3342, 3344-3345, 3347-3348

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

3290-3298

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

3299-3302, 3305-3306, 3308-3309, 3311-3312

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

3368-3372

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

3373-3374

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

3366-3367

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

3364-3365

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

2398-2399, 2402-2408, 2414, 2416, 2418, 2420-2421, 2424-2425

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

2953-2961

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

2962, 2965-2975, 2977-2978, 2980-2981, 2983-2984, 2986-2987, 2989-2990

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

1540-1543

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

2278-2280

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

2269-2277

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

2486

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

2791-2799, 2802-2806

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

2428-2457, 2459-2462, 2464-2470, 2472-2473, 2475-2476, 2478-2479, 2481-2482, 2484-2485

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

2759-2781, 2783-2784, 2786-2787, 2789-2790

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

2619, 2622-2683, 2685-2686, 2688-2689

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

2833-2839, 2845

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

2807-2814, 2817-2818, 2820-2821, 2823-2824, 2826-2827, 2829-2830

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

2490-2522, 2524-2525, 2527-2546, 2548-2549, 2551-2552, 2554-2555, 2557-2600, 2602-2603, 2605-2606, 2608-2609, 2611-2612, 2614-2615, 2617-2618

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

1546-1581, 1583-1594, 1596-1598, 1600-1602, 1604-1618, 1620-1627, 1629-1630, 1632-1633, 1635-1651, 1653-1654, 1656-1657

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

1681-1684, 1687, 1689-1690, 1692-1693, 1695-1697, 1699, 1701-1702, 1704-1706, 1708, 1710-1711, 1713-1715, 1717, 1719-1720, 1722-1723, 1725-1726, 1728-1729, 1731-1733, 1736-1737, 1740, 1742-1743, 1745-1746, 1748-1749, 1751-1752, 1756-1759, 1763-1764, 1766-1772, 1778-1779, 1782, 1784-1786, 1789, 1801-1802, 1807, 1812, 1816, 1819, 1822, 1827-1836, 1843, 1846, 1848, 1851-1855, 1857, 1859, 1861, 1863, 1870, 1879-1880, 1889-1890, 1897, 1899, 1911, 1915-1923, 1926, 1928-1929, 1933, 1935, 1938, 1940, 1942-1945, 1947-1954, 1956-1965, 1967-1972, 1974-1977, 1979-1980, 1982-1987, 1989, 1992-1993, 1995, 1997, 1999-2000, 2002-2004, 2006-2007, 2009, 2012-2013, 2015, 2018, 2020, 2022-2023, 2025-2030, 2032-2033, 2035-2036

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

2710-2711, 2714-2740, 2742-2750, 2752-2753, 2755

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

2201, 2204-2226, 2228-2229, 2231-2232, 2234-2243, 2245-2246, 2248-2253, 2255-2256, 2258-2259, 2261-2262, 2264-2265, 2267-2268

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

1384-1388

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

1660-1661, 1663-1664, 1666-1667, 1669-1670, 1672-1674, 1676-1677, 1679-1680

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

3054, 3056-3057, 3059-3060

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

3004-3011

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

3062-3081, 3083-3085, 3087, 3089, 3093, 3096, 3099-3103, 3105-3106

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

2991-2995, 2998-2999, 3001, 3003

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

3035-3042, 3044-3045, 3047, 3049, 3051

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

3014-3015, 3017-3018

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

3021-3028, 3030, 3032

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

2846-2851

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

2852, 2855-2873, 2875-2890, 2892-2911, 2913-2926, 2928-2929, 2931-2932, 2934-2935, 2937-2938

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

2939-2945

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

2946-2952

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

1389-1392, 1395-1404, 1407-1424, 1426-1427, 1429-1445, 1447-1448, 1450-1454, 1456-1457, 1459-1461, 1463-1470, 1472-1473, 1475-1477, 1479-1481, 1483-1518, 1520-1521, 1523-1524, 1526-1527, 1529-1530, 1532-1533, 1535-1536, 1538-1539

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

2692-2703, 2705-2706, 2708-2709

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

2039-2043, 2045-2046, 2048-2052, 2054

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

2055-2056, 2059-2068, 2071-2091, 2093-2094, 2096-2106, 2108-2109, 2111-2112, 2114-2127, 2129-2136, 2138-2139, 2141-2142, 2144-2145, 2147-2148, 2150-2170, 2172-2173, 2175-2176, 2178-2179, 2181-2182, 2184-2185, 2187-2188, 2190-2191, 2193-2194, 2196-2197, 2199-2200

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

2281, 2284-2322, 2324-2325, 2327-2328, 2330-2331, 2333-2337, 2339-2340, 2342-2348, 2350-2374, 2376-2384, 2386

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

3249

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

3253-3255

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

3206-3213

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

3205

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

3241-3245

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

3223-3232

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

3233-3237

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

3219-3221

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

3198, 3200, 3203-3204

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

3258-3259

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

3250-3252

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

3238-3240

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

3214-3218

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

3271-3281

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

3261-3263

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

3266-3270

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

3260

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

3246-3248

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

3264-3265

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

3282-3289

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

3257

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

3256

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

3222

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

1246-1247

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

1240-1244

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

1297-1304

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

1278-1282

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

1283-1291

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

1270-1277

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

1225-1231

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

1255-1262

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

1212-1224

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

1263-1269

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

1305-1309

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

1324-1325

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

1333-1335

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

1322

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

1316-1318

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

1310-1312

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

1339-1341

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

1336-1338

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

1319-1321

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

1313-1315

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

1232-1239

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

1292-1296

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

145-151, 153-155

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

64-67

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

7-9, 14-15, 21

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

137-144

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

47-57

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

903-910, 917, 919, 921-922, 925-926, 929-930

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

1023-1036

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

857-869, 871-883

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

1037-1092

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

985-997, 999-1003

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

808-828, 830-831, 833-834, 836-837, 839-856

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

571-583, 585-597

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

760-786, 788-790, 792-807

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

1004-1012, 1014-1022

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

1093-1118, 1120-1122, 1124-1138

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

934-943, 946-947, 950-976, 978-984

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

705-747

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

1139-1154, 1156-1157, 1159-1169, 1171-1179

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

673-686, 688-704

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

598-606, 609-610, 613-615, 617-637, 639-645, 647-654, 656-658, 660-665, 667-672

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

748-750, 752-755, 757-759

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

931-933

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

884-895

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

78-79

---- fairseq/utils.py (33) ----

80-83, 85, 88-92, 94-95, 98, 100-101, 106, 109-125
