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) ----

1232-1242

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

1243-1253

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

1224-1228, 1230-1231

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

121-132

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

144-149

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

3301-3302

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

3321-3326

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

3327-3333

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

3316-3320

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

3369-3374

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

3334-3340

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

3284-3291

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

3310-3315

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

3292-3299

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

3353-3357

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

3358-3368

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

3347-3352

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

3341-3346

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

857

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

1088-1089

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

781-783

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

931-933

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

780

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

881-884

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

834-835

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

858-860, 863, 867-872

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

885-887

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

784-787, 792, 794-799, 801, 804-817

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

1098

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

1141-1144

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

1155-1164, 1166-1169, 1171-1179

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

1109-1113

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

1119-1127

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

1152-1154

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

1134-1140

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

1145-1146

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

1106-1108

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

1114-1116

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

1147-1149

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

1117-1118

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

1128-1130

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

1150-1151

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

1131-1133

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

1086-1087

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

1038-1081

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

944-966

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

970-971, 973, 980, 983, 986-989, 991-994, 996-1000, 1002, 1006, 1009, 1011-1018, 1020-1022, 1024, 1027, 1031, 1037

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

1092-1093

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

1090-1091

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

1094-1095

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

873

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

855

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

939-942

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

818-820

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

967-968

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

841, 843, 851, 854

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

856

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

874-880

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

888

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

822-833

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

889

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

1083-1085

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

969

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

929-930

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

936-938

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

890, 892-894, 896, 899, 901-905, 908-909, 911-912, 923, 928

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

934-935

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

1082

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

150-151

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

133-143

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

153, 155-166

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

105

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

41-50

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

37-40

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

1188-1202

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

1205-1206, 1209-1210, 1212-1221

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

1180-1187

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

3139-3142

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

3147-3153

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

3096-3102, 3108

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

3118-3120, 3123-3129, 3131-3132, 3134-3135, 3137-3138

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

3109-3117

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

3080-3083, 3086-3087, 3089-3090, 3092-3093

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

3071-3075

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

3078-3079

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

3069-3070

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

3076-3077

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

1562-1563, 1566-1572, 1578, 1580, 1582, 1584-1585, 1588-1589

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

3031-3039

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

3040, 3043-3053, 3055-3056, 3058-3059, 3061-3062, 3064-3065, 3067-3068

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

2133-2136

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

2748-2750

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

1785-1793

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

2595

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

1722-1730, 1733-1737

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

1494-1523, 1525-1528, 1530-1536, 1538-1539, 1541-1542, 1544-1545, 1547-1548, 1550-1551

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

2563-2585, 2587-2588, 2590-2591, 2593-2594

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

2039, 2042-2103, 2105-2106, 2108-2109

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

2994-3000, 3006

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

3007-3014, 3017-3018, 3020-3021, 3023-3024, 3026-3027, 3029-3030

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

1910-1942, 1944-1945, 1947-1966, 1968-1969, 1971-1972, 1974-1975, 1977-2020, 2022-2023, 2025-2026, 2028-2029, 2031-2032, 2034-2035, 2037-2038

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

1796-1831, 1833-1844, 1846-1848, 1850-1852, 1854-1868, 1870-1877, 1879-1880, 1882-1883, 1885-1901, 1903-1904, 1906-1907

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

2137-2140, 2143, 2145-2146, 2148-2149, 2151-2153, 2155, 2157-2158, 2160-2162, 2164, 2166-2167, 2169-2171, 2173, 2175-2176, 2178-2179, 2181-2182, 2184-2185, 2187-2189, 2192-2193, 2196, 2198-2199, 2201-2202, 2204-2205, 2207-2208, 2212-2215, 2219-2220, 2222-2228, 2234-2235, 2238, 2240-2242, 2245, 2257-2258, 2263, 2268, 2272, 2275, 2278, 2283-2292, 2299, 2302, 2304, 2307-2311, 2313, 2315, 2317, 2319, 2326, 2335-2336, 2345-2346, 2353, 2355, 2367, 2371-2379, 2382, 2384-2385, 2389, 2391, 2394, 2396, 2398-2401, 2403-2410, 2412-2421, 2423-2428, 2430-2433, 2435-2436, 2438-2443, 2445, 2448-2449, 2451, 2453, 2455-2456, 2458-2460, 2462-2463, 2465, 2468-2469, 2471, 2474, 2476, 2478-2479, 2481-2486, 2488-2489, 2491-2492

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

1738-1739, 1742-1768, 1770-1778, 1780-1781, 1783

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

2493, 2496-2518, 2520-2521, 2523-2524, 2526-2535, 2537-2538, 2540-2545, 2547-2548, 2550-2551, 2553-2554, 2556-2557, 2559-2560

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

1590-1594

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

2112-2113, 2115-2116, 2118-2119, 2121-2122, 2124-2126, 2128-2129, 2131-2132

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

2771, 2773-2774, 2776-2777

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

2824-2831

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

2779-2798, 2800-2802, 2804, 2806, 2810, 2813, 2816-2820, 2822-2823

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

2853-2857, 2860-2861, 2863, 2865

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

2868-2875, 2877-2878, 2880, 2882, 2884

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

2834-2835, 2837-2838

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

2841-2848, 2850, 2852

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

2892-2897

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

2905, 2908-2926, 2928-2943, 2945-2964, 2966-2979, 2981-2982, 2984-2985, 2987-2988, 2990-2991

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

2898-2904

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

2885-2891

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

2597-2600, 2603-2612, 2615-2632, 2634-2635, 2637-2653, 2655-2656, 2658-2662, 2664-2665, 2667-2669, 2671-2678, 2680-2681, 2683-2685, 2687-2689, 2691-2726, 2728-2729, 2731-2732, 2734-2735, 2737-2738, 2740-2741, 2743-2744, 2746-2747

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

1597-1608, 1610-1611, 1613-1614

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

2753-2757, 2759-2760, 2762-2766, 2768

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

1346-1347, 1350-1359, 1362-1382, 1384-1385, 1387-1397, 1399-1400, 1402-1403, 1405-1418, 1420-1427, 1429-1430, 1432-1433, 1435-1436, 1438-1439, 1441-1461, 1463-1464, 1466-1467, 1469-1470, 1472-1473, 1475-1476, 1478-1479, 1481-1482, 1484-1485, 1487-1488, 1490-1491

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

1615, 1618-1656, 1658-1659, 1661-1662, 1664-1665, 1667-1671, 1673-1674, 1676-1682, 1684-1708, 1710-1718, 1720

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

1314

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

1281-1283

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

1265-1272

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

1262

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

1333-1337

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

1315-1324

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

1276-1280

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

1288-1290

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

1254, 1256, 1259-1260

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

1263-1264

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

1307-1309

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

1273-1275

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

1328-1332

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

1291-1301

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

1284-1286

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

1302-1306

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

1313

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

1325-1327

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

1311-1312

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

1338-1345

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

1287

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

1310

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

1261

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

3155-3156

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

3214-3218

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

3206-3213

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

3180-3184

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

3171-3179

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

3185-3192

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

3164-3170

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

3237-3244

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

3224-3236

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

3245-3251

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

3201-3205

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

3259-3260

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

3277-3279

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

3283

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

3268-3270

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

3255-3257

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

3252-3254

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

3274-3276

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

3271-3273

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

3280-3282

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

3193-3200

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

3219-3223

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

110-116, 118-120

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

167-170

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

9-11, 16-17, 23

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

97-104

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

24-34

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

205-212, 219, 221, 223-224, 227-228, 231-232

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

291-304

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

245-257, 259-271

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

670-725

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

305-317, 319-323

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

621-641, 643-644, 646-647, 649-650, 652-669

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

171-183, 185-197

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

573-599, 601-603, 605-620

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

272-280, 282-290

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

399-424, 426-428, 430-444

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

726-735, 738-739, 742-768, 770-776

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

445-487

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

520-535, 537-538, 540-550, 552-560

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

488-501, 503-519

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

324-332, 335-336, 339-341, 343-363, 365-371, 373-380, 382-384, 386-391, 393-398

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

561-563, 565-568, 570-572

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

777-779

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

233-244

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

35-36

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

51-54, 56, 59-60, 62-63, 65-66, 69, 71-72, 77, 80-96
