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id: 134
unit: def _get_del_targets()
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id: 135
unit: def bpe()
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unit: def average_checkpoints()
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unit: def add_distributed_training_args()
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unit: def main()
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id: 164
unit: def reduce_metrics()
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unit: def reduce_metrics()
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id: 169
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id: 171
unit: def bart_large_architecture()
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unit: def __init__()
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unit: def create_ent_labels()
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id: 175
unit: def sanity_check()
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id: 176
unit: def bpe_tokenize()
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unit: def step()
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unit: def reduce_metrics()
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unit: def step()
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unit: def get_meter()
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unit: def forward()
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unit: def build_model()
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unit: def resolve_max_positions()
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id: 189
unit: def compute_classification_loss_indices()
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id: 191
unit: def entity_match()
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id: 192
unit: def load_dataset()
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unit: def build_model()
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unit: def writer()
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unit: def main()
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id: 199
unit: def _load_single_lang_dataset()
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unit: def __init__()
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unit: def __init__()
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id: 204
unit: def upgrade_state_dict_named()
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id: 205
unit: def forward_word_ins()
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id: 206
unit: def add_args()
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id: 207
unit: def __init__()
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unit: def forward()
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id: 209
unit: def distributed_init()
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unit: def build_dataset_for_inference()
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id: 211
unit: def build_dataset_for_inference()
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id: 212
unit: def add_args()
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unit: def __init__()
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id: 215
unit: def reorder_encoder_out()
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id: 216
unit: def forward_mask_ins()
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id: 217
unit: def load_indexed_dataset()
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id: 218
unit: def collater()
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id: 219
unit: def main()
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id: 220
unit: def prepare()
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id: 221
unit: def build_model()
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id: 222
unit: def build_model()
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id: 224
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id: 225
unit: def get_log_prob()
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id: 226
unit: def __init__()
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id: 227
unit: def extract_features()
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id: 228
unit: def build_model()
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id: 229
unit: def base_lm_architecture()
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id: 230
unit: def hub_models()
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id: 231
unit: def initialize_output_tokens()
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id: 232
unit: def _sequential_poisoning()
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id: 233
unit: def _sent_to_dataset_index()
file: fairseq/data/legacy/block_pair_dataset.py
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id: 234
unit: def binarize_dataset()
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id: 235
unit: def binarize_cls_labels()
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id: 236
unit: def add_args()
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id: 237
unit: def add_args()
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id: 238
unit: def setup_task()
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id: 239
unit: def add_args()
file: fairseq/models/lstm_lm.py
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id: 240
unit: def make_generation_fast_()
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id: 241
unit: def forward_length_prediction()
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id: 242
unit: def collater()
file: fairseq/data/audio/raw_audio_dataset.py
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id: 243
unit: def noising()
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id: 244
unit: def aggregate_logging_outputs()
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id: 245
unit: def extract_text_xsum()
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id: 246
unit: def main()
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id: 247
unit: def add_args()
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id: 248
unit: def _inference_with_bleu()
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id: 249
unit: def _inference_with_bleu()
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id: 250
unit: def _reduce_and_log_stats()
file: fairseq/trainer.py
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id: 251
unit: def upgrade_state_dict_named()
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id: 252
unit: def _compute_normalizer()
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id: 253
unit: def __init__()
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id: 254
unit: def generate()
file: fairseq/models/bart/hub_interface.py
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id: 255
unit: def _fill()
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id: 256
unit: def add_file_to_dictionary()
file: fairseq/data/dictionary.py
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id: 257
unit: def _make_source_target()
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id: 258
unit: def aggregate()
file: fairseq/logging/metrics.py
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id: 259
unit: def _sample_wrapper()
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id: 260
unit: def add_optimization_args()
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id: 261
unit: def build_generator()
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id: 262
unit: def add_args()
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unit: def _sync_fp16_grads_to_fp32()
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id: 278
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unit: def __init__()
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id: 306
unit: def select_summary_sentences()
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id: 307
unit: def add()
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unit: def _get_whole_word_mask()
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unit: def extract_features_aligned_to_words()
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unit: def step()
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unit: def step_update()
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unit: def build_fp32_params()
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id: 325
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id: 326
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unit: def upgrade_state_dict_named()
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id: 329
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unit: def __init__()
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unit: def noising()
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unit: def extract_hard_alignment()
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id: 348
unit: def label_smoothed_nll_loss()
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id: 350
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id: 364
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id: 367
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id: 372
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id: 376
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unit: def cached_path()
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id: 390
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id: 393
unit: def permute_sentences()
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id: 395
unit: def reduce_metrics()
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id: 396
unit: def concat_temp_files()
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unit: def concat_temp_files()
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id: 399
unit: def valid_step()
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id: 400
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id: 401
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unit: def aggregate_logging_outputs()
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id: 403
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id: 406
unit: def LightweightConv()
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unit: def lightconv_iwslt_de_en()
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id: 412
unit: def buffered_future_mask()
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id: 416
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unit: def add_insertion_noise()
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id: 418
unit: def import_user_module()
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unit: def log()
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id: 420
unit: def compute_loss_unlikelihood()
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id: 421
unit: def extract_ent_from_labels()
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id: 422
unit: def convert_hypo_to_jsonl()
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id: 423
unit: def should_stop_early()
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id: 424
unit: def set_defaults()
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unit: def train_step()
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id: 426
unit: def add_args()
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id: 427
unit: def step_update()
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id: 428
unit: def __init__()
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id: 429
unit: def update_scale()
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id: 430
unit: def save_checkpoint()
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id: 431
unit: def adapt_target()
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id: 432
unit: def reorder_incremental_state()
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unit: def __init__()
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id: 434
unit: def forward_copying_source()
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id: 435
unit: def hub_models()
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id: 436
unit: def transformer_lm_baevski_wiki103()
file: fairseq/models/transformer_lm.py
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id: 437
unit: def collate_tokens()
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id: 438
unit: def infer_dataset_impl()
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unit: def __init__()
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id: 440
unit: def _flatten()
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id: 441
unit: def __init__()
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id: 442
unit: def log()
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id: 443
unit: def hellinger_loss()
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id: 444
unit: def load_model_ensemble_and_task()
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id: 445
unit: def add_eval_lm_args()
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id: 446
unit: def get_batch_iterator()
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id: 447
unit: def load_langpair_dataset()
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id: 448
unit: def __init__()
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id: 449
unit: def inference_step()
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id: 450
unit: def add_args()
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id: 451
unit: def step_update()
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id: 452
unit: def __init__()
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id: 453
unit: def add_args()
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id: 454
unit: def build_optimizer()
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id: 455
unit: def get_fused_adam_class()
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id: 456
unit: def _detect()
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id: 457
unit: def criterion()
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id: 458
unit: def init_bert_params()
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id: 459
unit: def __init__()
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id: 460
unit: def binarize_alignments()
file: fairseq/binarizer.py
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id: 461
unit: def register_model_architecture()
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id: 462
unit: def block()
file: fairseq/models/wav2vec.py
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id: 463
unit: def fconv_lm_dauphin_wikitext103()
file: fairseq/models/fconv_lm.py
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id: 464
unit: def reorder_encoder_out()
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id: 465
unit: def upgrade_state_dict_named()
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id: 467
unit: def load_libnat()
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id: 468
unit: def __init__()
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unit: def __init__()
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id: 470
unit: def base_architecture()
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unit: def __init__()
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id: 472
unit: def __init__()
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id: 473
unit: def _unflatten()
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id: 474
unit: def __init__()
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id: 475
unit: def __getstate__()
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id: 476
unit: def _pair_sentences()
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id: 477
unit: def apply_to_sample()
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id: 478
unit: def compute_loss()
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id: 479
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id: 480
unit: def get_parser()
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id: 481
unit: def main()
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id: 482
unit: def add_common_eval_args()
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id: 483
unit: def s3_request()
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id: 484
unit: def http_get()
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id: 485
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id: 486
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id: 487
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id: 488
unit: def step_update()
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id: 489
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id: 491
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id: 492
unit: def forward_align()
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id: 493
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id: 499
unit: def buffered_sparse_mask()
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id: 500
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id: 501
unit: def base_architecture()
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id: 502
unit: def expand_2d_or_3d_tensor()
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id: 503
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id: 504
unit: def decode()
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id: 505
unit: def fconv_self_att_wp()
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id: 506
unit: def hub_models()
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id: 507
unit: def fconv_wmt_en_fr()
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id: 508
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id: 509
unit: def add_args()
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id: 510
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id: 511
unit: def _apply_ins_words()
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id: 512
unit: def reorder_incremental_state()
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id: 513
unit: def from_pretrained()
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id: 514
unit: def from_pretrained()
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id: 515
unit: def from_pretrained()
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id: 516
unit: def decode()
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id: 517
unit: def numpy_seed()
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id: 518
unit: def next_epoch_itr()
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id: 519
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id: 520
unit: def collater()
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id: 521
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id: 522
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id: 523
unit: def start_server()
file: fairseq/data/plasma_utils.py
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end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 524
unit: def __init__()
file: fairseq/data/subsample_dataset.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 3

id: 525
unit: def load_align_dict()
file: fairseq/utils.py
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end line: 0
size: 12 LOC
McCabe index: 7
number of parameters: 1

id: 526
unit: def format_stat()
file: fairseq/logging/progress_bar.py
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size: 12 LOC
McCabe index: 6
number of parameters: 1

id: 527
unit: def _log_to_tensorboard()
file: fairseq/logging/progress_bar.py
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size: 12 LOC
McCabe index: 7
number of parameters: 4

id: 528
unit: def forward()
file: fairseq/criterions/label_smoothed_cross_entropy.py
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size: 12 LOC
McCabe index: 2
number of parameters: 4

id: 529
unit: def convert_state_dict_type()
file: fairseq/checkpoint_utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 6
number of parameters: 2

id: 530
unit: def verify_checkpoint_directory()
file: fairseq/checkpoint_utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 531
unit: void bleu_add()
file: fairseq/clib/libbleu/libbleu.cpp
start line: 126
end line: 139
size: 12 LOC
McCabe index: 1
number of parameters: 7

id: 532
unit: def get_valid_stats()
file: fairseq_cli/train.py
start line: 0
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size: 12 LOC
McCabe index: 5
number of parameters: 3

id: 533
unit: def build_x()
file: fairseq/registry.py
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size: 11 LOC
McCabe index: 3
number of parameters: 3

id: 534
unit: def __init__()
file: fairseq/tasks/multilingual_translation.py
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size: 11 LOC
McCabe index: 7
number of parameters: 4

id: 535
unit: def build_generator()
file: fairseq/tasks/translation_lev.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 536
unit: def valid_step()
file: fairseq/tasks/translation.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 4

id: 537
unit: def valid_step()
file: fairseq/tasks/translation_with_unlikelihood.py
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size: 11 LOC
McCabe index: 3
number of parameters: 4

id: 538
unit: def _decide_stage()
file: fairseq/optim/lr_scheduler/tri_stage_lr_scheduler.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 539
unit: def __init__()
file: fairseq/optim/adafactor.py
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size: 11 LOC
McCabe index: 5
number of parameters: 5

id: 540
unit: std::vector dynamicconv_backward()
file: fairseq/modules/dynamicconv_layer/dynamicconv_cuda.cpp
start line: 39
end line: 51
size: 11 LOC
McCabe index: 1
number of parameters: 4

id: 541
unit: def __init__()
file: fairseq/modules/sparse_multihead_attention.py
start line: 0
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size: 11 LOC
McCabe index: 2
number of parameters: 14

id: 542
unit: def __init__()
file: fairseq/modules/vggblock.py
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size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 543
unit: def forward()
file: fairseq/modules/adaptive_softmax.py
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size: 11 LOC
McCabe index: 3
number of parameters: 3

id: 544
unit: def extra_repr()
file: fairseq/modules/dynamic_convolution.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 545
unit: def __init__()
file: fairseq/models/wav2vec.py
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size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 546
unit: def add_args()
file: fairseq/models/bart/model.py
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size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 547
unit: def __init__()
file: fairseq/models/bart/hub_interface.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 4

id: 548
unit: def _build_sample()
file: fairseq/models/bart/hub_interface.py
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size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 549
unit: def predict()
file: fairseq/models/bart/hub_interface.py
start line: 0
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size: 11 LOC
McCabe index: 3
number of parameters: 4

id: 550
unit: def lightconv_wmt_en_de_big()
file: fairseq/models/lightconv.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 551
unit: def fconv_lm_dauphin_gbw()
file: fairseq/models/fconv_lm.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 552
unit: def base_architecture()
file: fairseq/models/fconv.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 553
unit: def forward()
file: fairseq/models/transformer.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 554
unit: def prepare_for_onnx_export_()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 555
unit: def add_symbol()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 4

id: 556
unit: def update()
file: fairseq/data/dictionary.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 557
unit: def next_epoch_itr()
file: fairseq/data/iterators.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 558
unit: def load_state_dict()
file: fairseq/data/iterators.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 559
unit: def __init__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 5

id: 560
unit: def make_dataset()
file: fairseq/data/indexed_dataset.py
start line: 0
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size: 11 LOC
McCabe index: 9
number of parameters: 4

id: 561
unit: def read_data()
file: fairseq/data/indexed_dataset.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 3

id: 562
unit: def finalize()
file: fairseq/data/indexed_dataset.py
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size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 563
unit: def backtranslate_samples()
file: fairseq/data/backtranslation_dataset.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 6
number of parameters: 4

id: 564
unit: def bytes_to_unicode()
file: fairseq/data/encoders/gpt2_bpe_utils.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 0

id: 565
unit: def _filter_vocab()
file: fairseq/data/monolingual_dataset.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 5
number of parameters: 2

id: 566
unit: def __init__()
file: fairseq/data/denoising_dataset.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 567
unit: def _cmdloop()
file: fairseq/pdb.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 568
unit: def reduce_metrics()
file: fairseq/criterions/sentence_prediction.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 9
number of parameters: 1

id: 569
unit: def compute_alignment_loss()
file: fairseq/criterions/label_smoothed_cross_entropy_with_alignment.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 3

id: 570
unit: def reduce_metrics()
file: fairseq/criterions/sentence_ranking.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 9
number of parameters: 1

id: 571
unit: def forward()
file: fairseq/criterions/cross_entropy.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 4

id: 572
unit: def compute_loss()
file: fairseq/criterions/cross_entropy.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 5

id: 573
unit: def load_checkpoint_to_cpu()
file: fairseq/checkpoint_utils.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 574
unit: torch::Tensor LevenshteinDistance()
file: fairseq/clib/libnat_cuda/binding.cpp
start line: 25
end line: 36
size: 11 LOC
McCabe index: 1
number of parameters: 4

id: 575
unit: size_t bleu_hash()
file: fairseq/clib/libbleu/libbleu.cpp
start line: 55
end line: 67
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 576
unit: void bleu_one_init()
file: fairseq/clib/libbleu/libbleu.cpp
start line: 111
end line: 121
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 577
unit: PyMODINIT_FUNC init_libbleu()
file: fairseq/clib/libbleu/module.cpp
start line: 27
end line: 37
size: 11 LOC
McCabe index: 2
number of parameters: 0

id: 578
unit: def _load_hypos()
file: preprocess/evaluate_hypo.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 579
unit: def _ans_lm_score()
file: preprocess/evaluate_hypo.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 3

id: 580
unit: def parse_checkpoints()
file: scripts/rm_pt.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 1

id: 581
unit: def result_string()
file: fairseq/bleu.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 582
unit: def read_set_from_file()
file: fairseq/file_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 583
unit: def parse_lambda_config()
file: fairseq/tasks/semisupervised_translation.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 7
number of parameters: 1

id: 584
unit: def setup_task()
file: fairseq/tasks/sentence_ranking.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 585
unit: def add_args()
file: fairseq/optim/lr_scheduler/reduce_lr_on_plateau.py
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size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 586
unit: def _check_grad_norms()
file: fairseq/trainer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 587
unit: std::vector lightconv_backward()
file: fairseq/modules/lightconv_layer/lightconv_cuda.cpp
start line: 38
end line: 49
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 588
unit: def __init__()
file: fairseq/modules/sinusoidal_positional_embedding.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 589
unit: def compute_subset_summaries()
file: fairseq/modules/sparse_multihead_attention.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 590
unit: def binarize()
file: fairseq/binarizer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 591
unit: def find_offsets()
file: fairseq/binarizer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 592
unit: def add_args()
file: fairseq/models/multilingual_transformer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 593
unit: def multilingual_transformer_iwslt_de_en()
file: fairseq/models/multilingual_transformer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 594
unit: def norm_block()
file: fairseq/models/wav2vec.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 595
unit: def __init__()
file: fairseq/models/fconv_self_att.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 7

id: 596
unit: def reorder_encoder_out()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 597
unit: def _split_encoder_out()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 598
unit: def extend_conv_spec()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 599
unit: def fconv_wmt_en_de()
file: fairseq/models/fconv.py
start line: 0
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size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 600
unit: def lstm_wiseman_iwslt_de_en()
file: fairseq/models/lstm.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 601
unit: def default_architecture()
file: fairseq/models/huggingface/hf_gpt2.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 602
unit: def forward()
file: fairseq/models/transformer.py
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size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 603
unit: def transformer_iwslt_de_en()
file: fairseq/models/transformer.py
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size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 604
unit: def transformer_vaswani_wmt_en_de_big()
file: fairseq/models/transformer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 605
unit: def add_args()
file: fairseq/models/nat/nonautoregressive_transformer.py
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size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 606
unit: def __init__()
file: fairseq/models/nat/insertion_transformer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 607
unit: def levenshtein_transformer_vaswani_wmt_en_de_big()
file: fairseq/models/nat/levenshtein_transformer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 608
unit: def set_beam_size()
file: fairseq/models/fairseq_incremental_decoder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 609
unit: def __getitem__()
file: fairseq/data/indexed_dataset.py
start line: 0
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size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 610
unit: def collater()
file: fairseq/data/round_robin_zip_datasets.py
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size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 611
unit: def __init__()
file: fairseq/data/encoders/fastbpe.py
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size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 612
unit: def get_encoder()
file: fairseq/data/encoders/gpt2_bpe_utils.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 613
unit: def __init__()
file: fairseq/data/token_block_dataset.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 614
unit: def collater()
file: fairseq/data/nested_dictionary_dataset.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 6
number of parameters: 2

id: 615
unit: def __getitem__()
file: fairseq/data/replace_dataset.py
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end line: 0
size: 10 LOC
McCabe index: 6
number of parameters: 2

id: 616
unit: def __getitem__()
file: fairseq/data/prepend_dataset.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 617
unit: def postprocess()
file: fairseq/data/audio/raw_audio_dataset.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 618
unit: def __init__()
file: fairseq/data/plasma_utils.py
start line: 0
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size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 619
unit: def __init__()
file: fairseq/data/language_pair_dataset.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 620
unit: def prefetch()
file: fairseq/data/language_pair_dataset.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 621
unit: def parse_embedding()
file: fairseq/utils.py
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size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 622
unit: def __init__()
file: fairseq/legacy_distributed_data_parallel.py
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size: 10 LOC
McCabe index: 3
number of parameters: 5

id: 623
unit: def reduce_metrics()
file: fairseq/criterions/fairseq_criterion.py
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size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 624
unit: def reduce_metrics()
file: fairseq/criterions/label_smoothed_cross_entropy_with_alignment.py
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size: 10 LOC
McCabe index: 6
number of parameters: 1

id: 625
unit: def reduce_metrics()
file: fairseq/criterions/adaptive_loss.py
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end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 1

id: 626
unit: def compute_cross_entropy_loss()
file: fairseq/criterions/legacy_masked_lm.py
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size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 627
unit: def reduce_metrics()
file: fairseq/criterions/cross_entropy.py
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size: 10 LOC
McCabe index: 5
number of parameters: 1

id: 628
unit: def checkpoint_paths()
file: fairseq/checkpoint_utils.py
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size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 629
unit: def save_state()
file: fairseq/checkpoint_utils.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 630
unit: vector compute_ed2()
file: fairseq/clib/libnat/edit_dist.cpp
start line: 186
end line: 195
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 631
unit: def check_score_file()
file: preprocess/sm_inference_asum.py
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size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 632
unit: def extract_entity_type_list()
file: preprocess/ner.py
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end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 633
unit: def buffered_read()
file: fairseq_cli/interactive.py
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size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 634
unit: def eval_str_list()
file: fairseq/options.py
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size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 635
unit: def precision()
file: fairseq/bleu.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 636
unit: def url_to_filename()
file: fairseq/file_utils.py
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size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 637
unit: def split_s3_path()
file: fairseq/file_utils.py
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size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 638
unit: def inference_step()
file: fairseq/tasks/multilingual_translation.py
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size: 9 LOC
McCabe index: 2
number of parameters: 5

id: 639
unit: def max_positions()
file: fairseq/tasks/multilingual_translation.py
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size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 640
unit: def add_args()
file: fairseq/optim/lr_scheduler/triangular_lr_scheduler.py
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size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 641
unit: def step_update()
file: fairseq/optim/lr_scheduler/reduce_lr_on_plateau.py
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end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 2

id: 642
unit: def add_args()
file: fairseq/optim/adamax.py
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size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 643
unit: def _get_lr()
file: fairseq/optim/adafactor.py
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size: 9 LOC
McCabe index: 4
number of parameters: 3

id: 644
unit: def zero_grad()
file: fairseq/optim/fp16_optimizer.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 645
unit: def __init__()
file: fairseq/nan_detector.py
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size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 646
unit: def model()
file: fairseq/trainer.py
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size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 647
unit: def _sync_stats()
file: fairseq/trainer.py
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size: 9 LOC
McCabe index: 6
number of parameters: 1

id: 648
unit: def __init__()
file: fairseq/modules/conv_tbc.py
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size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 649
unit: def forward()
file: fairseq/modules/fp32_group_norm.py
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size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 650
unit: std::vector dynamicconv_forward()
file: fairseq/modules/dynamicconv_layer/dynamicconv_cuda.cpp
start line: 27
end line: 37
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 651
unit: def compute_checkpoint()
file: fairseq/modules/sparse_multihead_attention.py
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size: 9 LOC
McCabe index: 3
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id: 652
unit: def forward()
file: fairseq/modules/layer_norm.py
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size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 653
unit: def _compute_score()
file: fairseq/modules/dynamic_crf_layer.py
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size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 654
unit: def unfold1d()
file: fairseq/modules/unfold.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 655
unit: def infer_conv_output_dim()
file: fairseq/modules/vggblock.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 656
unit: def __init__()
file: fairseq/modules/character_token_embedder.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 657
unit: def forward()
file: fairseq/benchmark/dummy_model.py
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size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 658
unit: def register_model()
file: fairseq/models/__init__.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 659
unit: def script_skip_tensor_list()
file: fairseq/models/model_utils.py
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size: 9 LOC
McCabe index: 5
number of parameters: 2

id: 660
unit: def __init__()
file: fairseq/models/wav2vec.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 661
unit: def block()
file: fairseq/models/wav2vec.py
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size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 662
unit: def forward()
file: fairseq/models/wav2vec.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 663
unit: def __init__()
file: fairseq/models/fconv_self_att.py
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end line: 0
size: 9 LOC
McCabe index: 6
number of parameters: 4

id: 664
unit: def reorder_encoder_out()
file: fairseq/models/lstm.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 665
unit: def lstm_luong_wmt_en_de()
file: fairseq/models/lstm.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 666
unit: def get_normalized_probs()
file: fairseq/models/fairseq_model.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 4

id: 667
unit: def _mean_pooling()
file: fairseq/models/nat/nonautoregressive_transformer.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 668
unit: def forward_mask_ins()
file: fairseq/models/nat/levenshtein_transformer.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 5

id: 669
unit: def transformer_lm_gpt()
file: fairseq/models/transformer_lm.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 670
unit: def transformer_lm_gpt2_small()
file: fairseq/models/transformer_lm.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 671
unit: def transformer_lm_gpt2_medium()
file: fairseq/models/transformer_lm.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 672
unit: def transformer_lm_gpt2_big()
file: fairseq/models/transformer_lm.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 673
unit: def __init__()
file: fairseq/models/roberta/model.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 5

id: 674
unit: def __init__()
file: fairseq/data/transform_eos_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 675
unit: def save()
file: fairseq/data/dictionary.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 676
unit: def __init__()
file: fairseq/data/dictionary.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 677
unit: def __init__()
file: fairseq/data/resampling_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 678
unit: def ordered_indices()
file: fairseq/data/resampling_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 679
unit: def __next__()
file: fairseq/data/iterators.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 680
unit: def __init__()
file: fairseq/data/backtranslation_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 681
unit: def ordered_indices()
file: fairseq/data/round_robin_zip_datasets.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 682
unit: def add_args()
file: fairseq/data/encoders/moses_tokenizer.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 683
unit: def prefetch()
file: fairseq/data/token_block_dataset.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 684
unit: def ordered_indices()
file: fairseq/data/multi_corpus_sampled_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 685
unit: def __getitem__()
file: fairseq/data/monolingual_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 686
unit: def __init__()
file: fairseq/data/legacy/block_pair_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 687
unit: def prefetch()
file: fairseq/data/legacy/block_pair_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 2

id: 688
unit: def __getitem__()
file: fairseq/data/noising.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 689
unit: def __init__()
file: fairseq/data/concat_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 690
unit: def sizes()
file: fairseq/data/concat_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 691
unit: def load_ensemble_for_inference()
file: fairseq/utils.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 692
unit: def replace_unk()
file: fairseq/utils.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 5

id: 693
unit: def get_available_activation_fns()
file: fairseq/utils.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 694
unit: def parse_cls_indices()
file: fairseq/utils.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 695
unit: def safe_round()
file: fairseq/logging/meters.py
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end line: 0
size: 9 LOC
McCabe index: 8
number of parameters: 2

id: 696
unit: def __init__()
file: fairseq/logging/progress_bar.py
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size: 9 LOC
McCabe index: 3
number of parameters: 4

id: 697
unit: def _format_stats()
file: fairseq/logging/progress_bar.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 4

id: 698
unit: void bleu_ltrim()
file: fairseq/clib/libbleu/libbleu.cpp
start line: 29
end line: 37
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 699
unit: def encode_lines()
file: preprocess/multiprocessing_bpe_encoder.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 700
unit: def spacy_tokenize()
file: preprocess/evaluate_hypo.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 701
unit: def fix_missing_period()
file: preprocess/data_prepro_clean.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 702
unit: def binarize()
file: fairseq_cli/preprocess.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 8

id: 703
unit: def binarize_alignments()
file: fairseq_cli/preprocess.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 6

id: 704
unit: def binarize_cls()
file: fairseq_cli/preprocess.py
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size: 9 LOC
McCabe index: 1
number of parameters: 6

id: 705
unit: def dataset_dest_prefix()
file: fairseq_cli/preprocess.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 706
unit: def get_training_parser()
file: fairseq/options.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 707
unit: def build_model()
file: fairseq/tasks/sentence_prediction.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 708
unit: def aggregate_logging_outputs()
file: fairseq/tasks/fairseq_task.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 709
unit: def build_dataset_for_inference()
file: fairseq/tasks/translation_from_pretrained_bart.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 710
unit: def add_args()
file: fairseq/tasks/legacy_masked_lm.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 711
unit: def add_args()
file: fairseq/tasks/audio_pretraining.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 712
unit: def build_model()
file: fairseq/tasks/language_modeling.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 713
unit: def build_model()
file: fairseq/tasks/sentence_ranking.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 714
unit: def __init__()
file: fairseq/optim/lr_scheduler/fixed_schedule.py
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size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 715
unit: def add_args()
file: fairseq/optim/lr_scheduler/polynomial_decay_schedule.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 716
unit: def _block_sync()
file: fairseq/optim/bmuf.py
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size: 8 LOC
McCabe index: 6
number of parameters: 1

id: 717
unit: def _warmup_sync()
file: fairseq/optim/bmuf.py
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size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 718
unit: def average_params()
file: fairseq/optim/adam.py
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size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 719
unit: def optimizer_config()
file: fairseq/optim/adamax.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 720
unit: def add_args()
file: fairseq/optim/adadelta.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 721
unit: def multiply_grads()
file: fairseq/optim/fp16_optimizer.py
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size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 722
unit: def GatedLinear()
file: fairseq/modules/downsampled_multihead_attention.py
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size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 723
unit: std::vector lightconv_forward()
file: fairseq/modules/lightconv_layer/lightconv_cuda.cpp
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end line: 36
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 724
unit: def upgrade_state_dict_named()
file: fairseq/modules/transformer_layer.py
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size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 725
unit: def extra_repr()
file: fairseq/modules/lightweight_convolution.py
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size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 726
unit: def __init__()
file: fairseq/modules/adaptive_input.py
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McCabe index: 1
number of parameters: 0

id: 727
unit: def safe_readline()
file: fairseq/binarizer.py
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McCabe index: 3
number of parameters: 1

id: 728
unit: def load_state_dict()
file: fairseq/models/multilingual_transformer.py
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McCabe index: 3
number of parameters: 4

id: 729
unit: def script_skip_tensor()
file: fairseq/models/model_utils.py
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size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 730
unit: def forward()
file: fairseq/models/bart/model.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 731
unit: def reorder_encoder_out()
file: fairseq/models/lightconv.py
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size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 732
unit: def add_args()
file: fairseq/models/transformer.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 733
unit: def forward_embedding()
file: fairseq/models/transformer.py
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McCabe index: 4
number of parameters: 2

id: 734
unit: def extract_features()
file: fairseq/models/transformer.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 735
unit: def output_layer()
file: fairseq/models/transformer.py
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McCabe index: 3
number of parameters: 2

id: 736
unit: def forward()
file: fairseq/models/fairseq_model.py
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McCabe index: 2
number of parameters: 5

id: 737
unit: def max_positions()
file: fairseq/models/fairseq_model.py
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McCabe index: 2
number of parameters: 1

id: 738
unit: def forward()
file: fairseq/models/nat/nonautoregressive_transformer.py
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McCabe index: 2
number of parameters: 6

id: 739
unit: def forward_length()
file: fairseq/models/nat/nonautoregressive_transformer.py
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size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 740
unit: def add_args()
file: fairseq/models/nat/nat_crf_transformer.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 741
unit: def __init__()
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McCabe index: 1
number of parameters: 2

id: 742
unit: def __init__()
file: fairseq/models/nat/fairseq_nat_model.py
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size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 743
unit: def forward_word_ins()
file: fairseq/models/nat/levenshtein_transformer.py
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size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 744
unit: def forward_word_del()
file: fairseq/models/nat/levenshtein_transformer.py
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size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 745
unit: def add_args()
file: fairseq/models/nat/iterative_nonautoregressive_transformer.py
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size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 746
unit: def spacy_nlp()
file: fairseq/models/roberta/alignment_utils.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 0

id: 747
unit: def spacy_tokenizer()
file: fairseq/models/roberta/alignment_utils.py
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size: 8 LOC
McCabe index: 3
number of parameters: 0

id: 748
unit: def forward()
file: fairseq/models/roberta/model.py
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McCabe index: 4
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id: 749
unit: def forward()
file: fairseq/models/roberta/model.py
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McCabe index: 1
number of parameters: 3

id: 750
unit: def process_bpe_symbol()
file: fairseq/data/data_utils.py
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size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 751
unit: def encode_line()
file: fairseq/data/dictionary.py
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McCabe index: 1
number of parameters: 0

id: 752
unit: def collater()
file: fairseq/data/colorize_dataset.py
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size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 753
unit: def __init__()
file: fairseq/data/iterators.py
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size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 754
unit: def __init__()
file: fairseq/data/indexed_dataset.py
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size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 755
unit: def __getitem__()
file: fairseq/data/round_robin_zip_datasets.py
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McCabe index: 3
number of parameters: 2

id: 756
unit: def __init__()
file: fairseq/data/encoders/gpt2_bpe.py
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size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 757
unit: def __init__()
file: fairseq/data/encoders/sentencepiece_bpe.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 758
unit: def crop_to_max_size()
file: fairseq/data/audio/raw_audio_dataset.py
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size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 759
unit: def __init__()
file: fairseq/data/audio/raw_audio_dataset.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 760
unit: def plasma()
file: fairseq/data/plasma_utils.py
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McCabe index: 4
number of parameters: 1

id: 761
unit: def __init__()
file: fairseq/data/legacy/masked_lm_dictionary.py
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McCabe index: 1
number of parameters: 0

id: 762
unit: def __init__()
file: fairseq/data/lm_context_window_dataset.py
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size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 763
unit: def __init__()
file: fairseq/data/noising.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 764
unit: def __init__()
file: fairseq/data/noising.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 765
unit: def collate()
file: fairseq/data/denoising_dataset.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 766
unit: def word_starts()
file: fairseq/data/denoising_dataset.py
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McCabe index: 2
number of parameters: 2

id: 767
unit: def _get_dataset_and_sample_index()
file: fairseq/data/concat_dataset.py
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size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 768
unit: def with_torch_seed()
file: fairseq/utils.py
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McCabe index: 1
number of parameters: 1

id: 769
unit: def parse_alignment()
file: fairseq/utils.py
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McCabe index: 2
number of parameters: 1

id: 770
unit: def progress_bar()
file: fairseq/logging/progress_bar.py
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McCabe index: 1
number of parameters: 0

id: 771
unit: def __init__()
file: fairseq/logging/progress_bar.py
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McCabe index: 2
number of parameters: 3

id: 772
unit: def _writer()
file: fairseq/logging/progress_bar.py
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McCabe index: 3
number of parameters: 2

id: 773
unit: def reduce_metrics()
file: fairseq/criterions/label_smoothed_cross_entropy_with_unlikelihood.py
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McCabe index: 5
number of parameters: 1

id: 774
unit: def compute_loss()
file: fairseq/criterions/label_smoothed_cross_entropy.py
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McCabe index: 1
number of parameters: 5

id: 775
unit: def reduce_metrics()
file: fairseq/criterions/label_smoothed_cross_entropy.py
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McCabe index: 5
number of parameters: 1

id: 776
unit: def __init__()
file: fairseq/criterions/fairseq_criterion.py
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McCabe index: 1
number of parameters: 3

id: 777
unit: def add_args()
file: fairseq/criterions/nat_loss.py
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McCabe index: 1
number of parameters: 1

id: 778
unit: def build_criterion()
file: fairseq/criterions/adaptive_loss.py
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size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 779
unit: def __init__()
file: fairseq/criterions/sentence_ranking.py
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McCabe index: 2
number of parameters: 5

id: 780
unit: def generate_batched_itr()
file: fairseq/iterative_refinement_generator.py
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size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 781
unit: void bleu_rtrim()
file: fairseq/clib/libbleu/libbleu.cpp
start line: 40
end line: 47
size: 8 LOC
McCabe index: 4
number of parameters: 4

id: 782
unit: def subfinder()
file: preprocess/create_entity_classification_labels.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 3

id: 783
unit: def update_bio_labels()
file: preprocess/create_entity_classification_labels.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 6

id: 784
unit: def _format_question_answers_bpe()
file: preprocess/data_prepro_clean.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 6

id: 785
unit: def get_parser()
file: scripts/read_binarized.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 786
unit: def __init__()
file: fairseq/search.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 787
unit: def __init__()
file: fairseq/search.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 788
unit: def step()
file: fairseq/search.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 789
unit: def str2bool()
file: fairseq/options.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 790
unit: def get_generation_parser()
file: fairseq/options.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 791
unit: def eval_bool()
file: fairseq/options.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 792
unit: def add_model_args()
file: fairseq/options.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 793
unit: def generate()
file: fairseq/hub_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 794
unit: def get_encoder_langtok()
file: fairseq/tasks/multilingual_translation.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 795
unit: def dataset()
file: fairseq/tasks/fairseq_task.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 796
unit: def add_args()
file: fairseq/tasks/translation_from_pretrained_bart.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 797
unit: def __init__()
file: fairseq/tasks/translation_from_pretrained_bart.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 4

id: 798
unit: def __init__()
file: fairseq/tasks/multilingual_denoising.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 799
unit: def __init__()
file: fairseq/tasks/language_modeling.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 5

id: 800
unit: def __init__()
file: fairseq/optim/fused_lamb.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 801
unit: def add_args()
file: fairseq/optim/fused_lamb.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 802
unit: def optimizer_config()
file: fairseq/optim/fused_lamb.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 803
unit: def add_args()
file: fairseq/optim/lr_scheduler/fixed_schedule.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 804
unit: def get_next_lr()
file: fairseq/optim/lr_scheduler/fixed_schedule.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 805
unit: def get_next_lr()
file: fairseq/optim/lr_scheduler/polynomial_decay_schedule.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 806
unit: def __init__()
file: fairseq/optim/lr_scheduler/fairseq_lr_scheduler.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 807
unit: def step_update()
file: fairseq/optim/lr_scheduler/inverse_square_root_schedule.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 808
unit: def step()
file: fairseq/optim/bmuf.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 809
unit: def optimizer_config()
file: fairseq/optim/adam.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 810
unit: def optimizer_config()
file: fairseq/optim/adadelta.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 811
unit: def _generate()
file: fairseq/sequence_generator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 812
unit: def reorder_encoder_out()
file: fairseq/sequence_generator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 813
unit: def load_checkpoint()
file: fairseq/trainer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 814
unit: def get_train_iterator()
file: fairseq/trainer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 815
unit: def _log_oom()
file: fairseq/trainer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 816
unit: def backward()
file: fairseq/modules/lightconv_layer/lightconv_layer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 817
unit: def forward()
file: fairseq/modules/scalar_bias.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 818
unit: def __repr__()
file: fairseq/modules/conv_tbc.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 819
unit: std::vector dynamicconv_backward()
file: fairseq/modules/dynamicconv_layer/dynamiconv_cpu.cpp
start line: 23
end line: 30
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 820
unit: def backward()
file: fairseq/modules/dynamicconv_layer/dynamicconv_layer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 821
unit: def __init__()
file: fairseq/modules/dynamic_crf_layer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 822
unit: def _get_linearized_weight()
file: fairseq/modules/linearized_convolution.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 823
unit: def __init__()
file: fairseq/benchmark/dummy_lm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 824
unit: def build_model()
file: fairseq/benchmark/dummy_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 825
unit: def get_extra_losses()
file: fairseq/models/wav2vec.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 826
unit: def from_pretrained()
file: fairseq/models/bart/model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 827
unit: def __init__()
file: fairseq/models/bart/model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 828
unit: def buffered_future_mask()
file: fairseq/models/lightconv.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 2

id: 829
unit: def base_lm_architecture()
file: fairseq/models/fconv_lm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 830
unit: def forward()
file: fairseq/models/fconv_self_att.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 831
unit: def ConvTBC()
file: fairseq/models/fconv_self_att.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 832
unit: def upgrade_state_dict()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 833
unit: def ConvTBC()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 834
unit: def fconv_iwslt_de_en()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 835
unit: def output_layer()
file: fairseq/models/lstm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 836
unit: def lightconv_lm_gbw()
file: fairseq/models/lightconv_lm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 837
unit: def build_model()
file: fairseq/models/masked_lm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 838
unit: def build_decoder()
file: fairseq/models/transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 839
unit: def forward_decoder()
file: fairseq/models/transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 840
unit: def forward()
file: fairseq/models/transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 841
unit: def __init__()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 842
unit: def _uniform_assignment()
file: fairseq/models/nat/nonautoregressive_transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 843
unit: def extract_features()
file: fairseq/models/nat/nonautoregressive_transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 844
unit: def __call__()
file: fairseq/models/nat/insertion_transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 4

id: 845
unit: def forward_word_ins()
file: fairseq/models/nat/insertion_transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 846
unit: def __init__()
file: fairseq/models/nat/nat_crf_transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 847
unit: def nacrf_base_architecture()
file: fairseq/models/nat/nat_crf_transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 848
unit: def add_args()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 849
unit: def _skeptical_unmasking()
file: fairseq/models/nat/cmlm_transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 850
unit: def hub_models()
file: fairseq/models/roberta/model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 851
unit: def forward()
file: fairseq/models/roberta/model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 6

id: 852
unit: def extract_features()
file: fairseq/models/roberta/model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 853
unit: def __init__()
file: fairseq/models/roberta/hub_interface.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 854
unit: def encode()
file: fairseq/models/roberta/hub_interface.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 4

id: 855
unit: def infer_language_pair()
file: fairseq/data/data_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 856
unit: def __init__()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 857
unit: def pad_to_multiple_()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 858
unit: def _save()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 859
unit: def next_epoch_idx()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 860
unit: def dataset_exists()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 861
unit: def __init__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 862
unit: def merge_file_()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 863
unit: def add_args()
file: fairseq/data/encoders/gpt2_bpe.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 864
unit: def encode()
file: fairseq/data/encoders/moses_tokenizer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 865
unit: def get_pairs()
file: fairseq/data/encoders/gpt2_bpe_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 866
unit: def __getitem__()
file: fairseq/data/multi_corpus_sampled_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 867
unit: def __init__()
file: fairseq/data/append_token_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 868
unit: def ordered_indices()
file: fairseq/data/monolingual_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 869
unit: def __init__()
file: fairseq/data/audio/raw_audio_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 870
unit: def ordered_indices()
file: fairseq/data/audio/raw_audio_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 871
unit: def __getitem__()
file: fairseq/data/audio/raw_audio_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 872
unit: def ordered_indices()
file: fairseq/data/legacy/masked_lm_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 873
unit: def ordered_indices()
file: fairseq/data/subsample_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 874
unit: def __init__()
file: fairseq/data/prepend_token_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 875
unit: def _get_bpe_word_idx()
file: fairseq/data/noising.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 876
unit: def add_rolling_noise()
file: fairseq/data/denoising_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 877
unit: def supports_prefetch()
file: fairseq/data/denoising_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 878
unit: def __init__()
file: fairseq/data/transform_eos_lang_pair_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 879
unit: def check_alignment()
file: fairseq/data/language_pair_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 3

id: 880
unit: def ordered_indices()
file: fairseq/data/language_pair_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 1

id: 881
unit: def cumsum()
file: fairseq/data/concat_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 882
unit: def prefetch()
file: fairseq/data/concat_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 2

id: 883
unit: def buffered_arange()
file: fairseq/utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 884
unit: def get_perplexity()
file: fairseq/utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 885
unit: def state_dict()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 886
unit: def __setitem__()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 887
unit: def load_state_dict()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 888
unit: def build_progress_bar()
file: fairseq/logging/progress_bar.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 889
unit: def print()
file: fairseq/logging/progress_bar.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 4

id: 890
unit: def add_args()
file: fairseq/criterions/binary_cross_entropy.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 891
unit: def add_args()
file: fairseq/criterions/label_smoothed_cross_entropy_with_unlikelihood.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 892
unit: def add_args()
file: fairseq/criterions/label_smoothed_cross_entropy_with_multitask.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 893
unit: def build_underlying_criterion()
file: fairseq/criterions/composite_loss.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 894
unit: def torch_persistent_save()
file: fairseq/checkpoint_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 895
unit: def open()
file: fairseq/file_io.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 896
unit: torch::Tensor GenerateDeletionLabel()
file: fairseq/clib/libnat_cuda/binding.cpp
start line: 38
end line: 45
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 897
unit: std::pair GenerateInsertionLabel()
file: fairseq/clib/libnat_cuda/binding.cpp
start line: 47
end line: 54
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 898
unit: def convert_args_dict_to_list()
file: train.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 899
unit: def update_labels()
file: preprocess/create_entity_classification_labels.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 900
unit: def str2bool()
file: preprocess/sm_inference_asum.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 901
unit: def __init__()
file: fairseq_cli/eval_lm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 902
unit: def add()
file: fairseq_cli/eval_lm.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 903
unit: function find_weight_norm()
file: scripts/convert_model.lua
start line: 12
end line: 18
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 904
unit: def __init__()
file: fairseq/sequence_scorer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 5

id: 905
unit: def get_validation_parser()
file: fairseq/options.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 906
unit: def parse_args_and_arch()
file: fairseq/options.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 907
unit: def add_interactive_args()
file: fairseq/options.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 908
unit: def __init__()
file: fairseq/bleu.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 909
unit: def from_pretrained()
file: fairseq/hub_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 910
unit: def sample()
file: fairseq/hub_utils.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 5

id: 911
unit: def s3_etag()
file: fairseq/file_utils.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 912
unit: def add_args()
file: fairseq/tasks/translation_lev.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 913
unit: def valid_step()
file: fairseq/tasks/translation_lev.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 914
unit: def add_args()
file: fairseq/tasks/multilingual_denoising.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 915
unit: def setup_task()
file: fairseq/tasks/masked_lm.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 916
unit: def build_dictionary()
file: fairseq/tasks/legacy_masked_lm.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 6

id: 917
unit: def setup_task()
file: fairseq/tasks/legacy_masked_lm.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 918
unit: def load_dataset()
file: fairseq/tasks/audio_pretraining.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 919
unit: def __init__()
file: fairseq/tasks/cross_lingual_lm.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 920
unit: def build_dictionary()
file: fairseq/tasks/cross_lingual_lm.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 6

id: 921
unit: def setup_task()
file: fairseq/tasks/denoising.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 922
unit: def setup_task()
file: fairseq/tasks/multilingual_masked_lm.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 923
unit: def step()
file: fairseq/optim/lr_scheduler/reduce_lr_on_plateau.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 924
unit: def step()
file: fairseq/optim/lr_scheduler/fairseq_lr_scheduler.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 925
unit: def optimizer_config()
file: fairseq/optim/nag.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 926
unit: def optimizer()
file: fairseq/optim/fairseq_optimizer.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 927
unit: def _is_bmuf_iter()
file: fairseq/optim/bmuf.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 928
unit: def _reset_local_data()
file: fairseq/optim/bmuf.py
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end line: 0
size: 6 LOC
McCabe index: 7
number of parameters: 1

id: 929
unit: def optimizer_config()
file: fairseq/optim/sgd.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 930
unit: def _unscale_grads()
file: fairseq/optim/fp16_optimizer.py
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 931
unit: def __init__()
file: fairseq/sequence_generator.py
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size: 6 LOC
McCabe index: 5
number of parameters: 2

id: 932
unit: def gelu_accurate()
file: fairseq/modules/gelu.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 933
unit: def forward()
file: fairseq/modules/lightconv_layer/lightconv_layer.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 934
unit: def upgrade_state_dict_named()
file: fairseq/modules/lightconv_layer/lightconv_layer.py
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end line: 0
size: 6 LOC
McCabe index: 6
number of parameters: 3

id: 935
unit: def forward()
file: fairseq/modules/sinusoidal_positional_embedding.py
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size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 936
unit: def Linear()
file: fairseq/modules/transformer_layer.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 937
unit: def _append_prev_key_padding_mask()
file: fairseq/modules/multihead_attention.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 938
unit: def forward()
file: fairseq/modules/transformer_sentence_encoder.py
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size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 939
unit: std::vector dynamicconv_forward()
file: fairseq/modules/dynamicconv_layer/dynamiconv_cpu.cpp
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end line: 21
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 940
unit: def forward()
file: fairseq/modules/dynamicconv_layer/dynamicconv_layer.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 941
unit: def init_weights()
file: fairseq/modules/adaptive_input.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 942
unit: def forward()
file: fairseq/modules/adaptive_softmax.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 943
unit: def reset_parameters()
file: fairseq/modules/character_token_embedder.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 944
unit: def Linear()
file: fairseq/modules/dynamic_convolution.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 945
unit: def add_args()
file: fairseq/benchmark/dummy_lm.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 946
unit: def setup_task()
file: fairseq/benchmark/dummy_lm.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 947
unit: def add_args()
file: fairseq/benchmark/dummy_masked_lm.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 948
unit: def setup_task()
file: fairseq/benchmark/dummy_masked_lm.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 949
unit: def get_normalized_probs()
file: fairseq/benchmark/dummy_model.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 950
unit: def base_multilingual_architecture()
file: fairseq/models/multilingual_transformer.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 951
unit: def hub_models()
file: fairseq/models/bart/model.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 952
unit: def maybe_layer_norm()
file: fairseq/models/lightconv.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 5

id: 953
unit: def maybe_layer_norm()
file: fairseq/models/lightconv.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 5

id: 954
unit: def Linear()
file: fairseq/models/lightconv.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 955
unit: def __init__()
file: fairseq/models/fconv_self_att.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 7

id: 956
unit: def _split_encoder_out()
file: fairseq/models/fconv_self_att.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 957
unit: def LinearizedConv1d()
file: fairseq/models/fconv_self_att.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 958
unit: def reorder_incremental_state()
file: fairseq/models/fconv.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 959
unit: def LinearizedConv1d()
file: fairseq/models/fconv.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 960
unit: def __init__()
file: fairseq/models/lstm.py
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size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 961
unit: def LSTM()
file: fairseq/models/lstm.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 962
unit: def LSTMCell()
file: fairseq/models/lstm.py
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size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 963
unit: def Linear()
file: fairseq/models/lstm.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 964
unit: def __init__()
file: fairseq/models/masked_lm.py
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size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 965
unit: def bert_large_architecture()
file: fairseq/models/masked_lm.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 966
unit: def build_model()
file: fairseq/models/transformer.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 967
unit: def Linear()
file: fairseq/models/transformer.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 968
unit: def transformer_wmt_en_de_big_t2t()
file: fairseq/models/transformer.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 969
unit: def from_pretrained()
file: fairseq/models/fairseq_model.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 970
unit: def __init__()
file: fairseq/models/fairseq_model.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 971
unit: def forward()
file: fairseq/models/fairseq_model.py
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size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 972
unit: def extract_features()
file: fairseq/models/fairseq_model.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 973
unit: def build_shared_embeddings()
file: fairseq/models/fairseq_model.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 974
unit: def reorder_encoder_out()
file: fairseq/models/nat/nonautoregressive_ensembles.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 975
unit: def levenshtein_transformer_wmt_en_de_big_t2t()
file: fairseq/models/nat/levenshtein_transformer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 976
unit: def build_model()
file: fairseq/models/nat/iterative_nonautoregressive_transformer.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 977
unit: def forward()
file: fairseq/models/fairseq_decoder.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 978
unit: def transformer_lm_big()
file: fairseq/models/transformer_lm.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 979
unit: def transformer_lm_baevski_gbw()
file: fairseq/models/transformer_lm.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 980
unit: def build_model()
file: fairseq/models/roberta/model.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 981
unit: def __init__()
file: fairseq/models/roberta/model.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 6

id: 982
unit: def roberta_large_architecture()
file: fairseq/models/roberta/model.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 983
unit: def xlm_architecture()
file: fairseq/models/roberta/model.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 984
unit: def predict()
file: fairseq/models/roberta/hub_interface.py
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size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 985
unit: def size()
file: fairseq/data/transform_eos_dataset.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 986
unit: def collect_filtered()
file: fairseq/data/data_utils.py
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size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 987
unit: def __iter__()
file: fairseq/data/iterators.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 988
unit: def iterations_in_epoch()
file: fairseq/data/iterators.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 989
unit: def state_dict()
file: fairseq/data/iterators.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 990
unit: def __init__()
file: fairseq/data/indexed_dataset.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 991
unit: def add_item()
file: fairseq/data/indexed_dataset.py
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 992
unit: def __init__()
file: fairseq/data/indexed_dataset.py
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McCabe index: 1
number of parameters: 2

id: 993
unit: def _do_init()
file: fairseq/data/indexed_dataset.py
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McCabe index: 1
number of parameters: 2

id: 994
unit: def __getitem__()
file: fairseq/data/indexed_dataset.py
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McCabe index: 2
number of parameters: 2

id: 995
unit: def __getitem__()
file: fairseq/data/truncate_last_element_dataset.py
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McCabe index: 2
number of parameters: 2

id: 996
unit: def __getitem__()
file: fairseq/data/truncate_dataset.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 997
unit: def add_args()
file: fairseq/data/encoders/hf_bert_bpe.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 998
unit: def __init__()
file: fairseq/data/encoders/nltk_tokenizer.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 999
unit: def encode()
file: fairseq/data/encoders/gpt2_bpe_utils.py
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size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 1000
unit: def _map_index_to_dataset()
file: fairseq/data/multi_corpus_sampled_dataset.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 1001
unit: def collater()
file: fairseq/data/multi_corpus_sampled_dataset.py
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 1002
unit: def __init__()
file: fairseq/data/sort_dataset.py
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size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 1003
unit: def _maybe_add_bos()
file: fairseq/data/monolingual_dataset.py
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size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 1004
unit: def apply_mask()
file: fairseq/data/mask_tokens_dataset.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 1005
unit: def __del__()
file: fairseq/data/plasma_utils.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 1006
unit: def _mask_block()
file: fairseq/data/legacy/masked_lm_dataset.py
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size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 1007
unit: def __init__()
file: fairseq/data/legacy/masked_lm_dictionary.py
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size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 1008
unit: def _fetch_block()
file: fairseq/data/legacy/block_pair_dataset.py
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size: 6 LOC
McCabe index: 2
number of parameters: 5

id: 1009
unit: def add_permuted_noise()
file: fairseq/data/denoising_dataset.py
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size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 1010
unit: def ordered_indices()
file: fairseq/data/denoising_dataset.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 1011
unit: def __getitem__()
file: fairseq/data/numel_dataset.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 1012
unit: def collater()
file: fairseq/data/language_pair_dataset.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 1013
unit: def load_embedding()
file: fairseq/utils.py
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McCabe index: 3
number of parameters: 3

id: 1014
unit: def item()
file: fairseq/utils.py
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McCabe index: 3
number of parameters: 1

id: 1015
unit: def has_parameters()
file: fairseq/utils.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 1016
unit: def get_token_to_word_mapping()
file: fairseq/utils.py
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 1017
unit: def update()
file: fairseq/logging/meters.py
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McCabe index: 3
number of parameters: 3

id: 1018
unit: def state_dict()
file: fairseq/logging/meters.py
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McCabe index: 1
number of parameters: 1

id: 1019
unit: def load_state_dict()
file: fairseq/logging/meters.py
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McCabe index: 3
number of parameters: 2

id: 1020
unit: def state_dict()
file: fairseq/logging/meters.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 1021
unit: def state_dict()
file: fairseq/logging/meters.py
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McCabe index: 3
number of parameters: 1

id: 1022
unit: def get_smoothed_value()
file: fairseq/logging/meters.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 1023
unit: def get_smoothed_values()
file: fairseq/logging/meters.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 1024
unit: def log_scalar()
file: fairseq/logging/metrics.py
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size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 1025
unit: def log_custom()
file: fairseq/logging/metrics.py
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size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 1026
unit: def rename_logger()
file: fairseq/logging/progress_bar.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 1027
unit: def __init__()
file: fairseq/criterions/label_smoothed_cross_entropy_with_unlikelihood.py
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McCabe index: 1
number of parameters: 5

id: 1028
unit: def __init__()
file: fairseq/criterions/fairseq_criterion.py
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size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 1029
unit: def mean_ds()
file: fairseq/criterions/nat_loss.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 1030
unit: def add_args()
file: fairseq/criterions/legacy_masked_lm.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 1031
unit: def add_args()
file: fairseq/criterions/sentence_ranking.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 1032
unit: def copy()
file: fairseq/file_io.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 1033
unit: def _all_reduce_dict()
file: fairseq/distributed_utils.py
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McCabe index: 3
number of parameters: 1

id: 1034
unit: def get_from_stack()
file: fairseq/distributed_utils.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 1035
unit: def decode_lines()
file: preprocess/multiprocessing_bpe_encoder.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 1036
unit: def count_lines_in_text_file()
file: preprocess/evaluate_hypo.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 1037
unit: def is_corrupt_summary_sent()
file: preprocess/data_prepro_clean.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 1038
unit: def _format_source_answers_bpe()
file: preprocess/data_prepro_clean.py
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id: 1039
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id: 1040
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id: 1041
unit: def get_eval_lm_parser()
file: fairseq/options.py
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id: 1042
unit: def reset()
file: fairseq/bleu.py
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id: 1043
unit: def reset()
file: fairseq/bleu.py
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id: 1044
unit: def score()
file: fairseq/hub_utils.py
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id: 1045
unit: def __init__()
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id: 1046
unit: def __init__()
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id: 1047
unit: def s3_get()
file: fairseq/file_utils.py
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number of parameters: 2

id: 1048
unit: def _lang_token_index()
file: fairseq/tasks/multilingual_translation.py
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id: 1049
unit: def reduce_metrics()
file: fairseq/tasks/multilingual_translation.py
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number of parameters: 3

id: 1050
unit: def source_dictionary()
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number of parameters: 1

id: 1051
unit: def target_dictionary()
file: fairseq/tasks/multilingual_translation.py
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number of parameters: 1

id: 1052
unit: def valid_step()
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id: 1053
unit: def __init__()
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id: 1054
unit: def _get_sample_prob()
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id: 1055
unit: def __init__()
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id: 1056
unit: def __init__()
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id: 1057
unit: def __init__()
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id: 1058
unit: def _get_sample_prob()
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id: 1059
unit: def optimizer_config()
file: fairseq/optim/adagrad.py
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id: 1060
unit: def step()
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id: 1061
unit: def step_update()
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id: 1062
unit: def step()
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id: 1063
unit: def state_dict()
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id: 1064
unit: def add_args()
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id: 1065
unit: def add_args()
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id: 1066
unit: def load_state_dict()
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id: 1067
unit: def _calc_grad()
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id: 1068
unit: def _avg_grad_from_all_gpus()
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id: 1069
unit: def __init__()
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id: 1070
unit: def add_args()
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id: 1071
unit: def multiply_grads()
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id: 1072
unit: def add_hooks()
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id: 1073
unit: def is_finished()
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id: 1074
unit: def calculate_banned_tokens()
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id: 1075
unit: def reorder_incremental_state()
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id: 1076
unit: def _set_seed()
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id: 1077
unit: def _aggregate_logging_outputs()
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id: 1078
unit: def _all_gather_list_sync()
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id: 1079
unit: def _fast_stat_sync_sum()
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id: 1080
unit: def Linear()
file: fairseq/modules/downsampled_multihead_attention.py
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id: 1081
unit: def gelu()
file: fairseq/modules/gelu.py
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id: 1082
unit: def reorder_incremental_state()
file: fairseq/modules/lightconv_layer/lightconv_layer.py
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id: 1083
unit: def PositionalEmbedding()
file: fairseq/modules/positional_embedding.py
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id: 1084
unit: def reorder_incremental_state()
file: fairseq/modules/lightweight_convolution.py
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id: 1085
unit: def forward()
file: fairseq/modules/transformer_sentence_encoder_layer.py
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id: 1086
unit: def reset_parameters()
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id: 1087
unit: def reorder_incremental_state()
file: fairseq/modules/dynamicconv_layer/dynamicconv_layer.py
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id: 1088
unit: def _pair()
file: fairseq/modules/vggblock.py
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number of parameters: 1

id: 1089
unit: def reorder_incremental_state()
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id: 1090
unit: def __init__()
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id: 1091
unit: def reset_parameters()
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id: 1092
unit: def reorder_incremental_state()
file: fairseq/modules/dynamic_convolution.py
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id: 1093
unit: def set_incremental_state()
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id: 1094
unit: def __init__()
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id: 1095
unit: def __init__()
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id: 1096
unit: def __init__()
file: fairseq/models/composite_encoder.py
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id: 1097
unit: def forward()
file: fairseq/models/composite_encoder.py
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id: 1098
unit: def build_model()
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id: 1099
unit: def get_targets()
file: fairseq/models/wav2vec.py
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id: 1100
unit: def get_target_weights()
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id: 1101
unit: def Embedding()
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id: 1102
unit: def lightconv_wmt_zh_en_big()
file: fairseq/models/lightconv.py
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id: 1103
unit: def Linear()
file: fairseq/models/fconv_self_att.py
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id: 1104
unit: def __init__()
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id: 1105
unit: def __init__()
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id: 1106
unit: def Embedding()
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id: 1107
unit: def PositionalEmbedding()
file: fairseq/models/fconv.py
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id: 1108
unit: def Linear()
file: fairseq/models/fconv.py
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id: 1109
unit: def __init__()
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id: 1110
unit: def forward()
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id: 1111
unit: def Embedding()
file: fairseq/models/lstm.py
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id: 1112
unit: def forward()
file: fairseq/models/huggingface/hf_gpt2.py
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id: 1113
unit: def hf_gpt2_medium()
file: fairseq/models/huggingface/hf_gpt2.py
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id: 1114
unit: def hf_gpt2_large()
file: fairseq/models/huggingface/hf_gpt2.py
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size: 5 LOC
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number of parameters: 1

id: 1115
unit: def hf_gpt2_xl()
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id: 1116
unit: def get_normalized_probs()
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id: 1117
unit: def __init__()
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id: 1119
unit: def transformer_align()
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id: 1120
unit: def get_normalized_probs()
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id: 1121
unit: def get_normalized_probs_scriptable()
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id: 1122
unit: def set_num_updates()
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id: 1123
unit: def build_decoder()
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id: 1124
unit: def __init__()
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id: 1125
unit: def compute_score_full()
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id: 1126
unit: def build_decoder()
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id: 1127
unit: def _skip_encoder_out()
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id: 1128
unit: def build_decoder()
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id: 1129
unit: def build_encoder()
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id: 1130
unit: def build_decoder()
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id: 1131
unit: def get_normalized_probs()
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id: 1132
unit: def hub_models()
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id: 1133
unit: def __init__()
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id: 1134
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id: 1135
unit: def disambiguate_pronoun()
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id: 1136
unit: def index()
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id: 1137
unit: def unk_string()
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id: 1138
unit: def next_epoch_idx()
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id: 1140
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id: 1141
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id: 1143
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id: 1144
unit: def num_tokens()
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id: 1145
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id: 1146
unit: def supports_prefetch()
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id: 1147
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id: 1148
unit: def add_args()
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id: 1149
unit: def add_args()
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id: 1150
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id: 1151
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id: 1152
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id: 1153
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id: 1154
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id: 1155
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id: 1156
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id: 1157
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id: 1159
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id: 1160
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id: 1165
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id: 1166
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id: 1168
unit: def collater()
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id: 1169
unit: def collater()
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id: 1170
unit: def merge()
file: fairseq/data/language_pair_dataset.py
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id: 1171
unit: def compute_alignment_weights()
file: fairseq/data/language_pair_dataset.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 1172
unit: def supports_prefetch()
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id: 1173
unit: def collater()
file: fairseq/data/concat_dataset.py
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id: 1174
unit: def set_epoch()
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id: 1175
unit: def __init__()
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id: 1176
unit: def set_epoch()
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id: 1177
unit: def set_incremental_state()
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id: 1178
unit: def print_embed_overlap()
file: fairseq/utils.py
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id: 1179
unit: def softmax()
file: fairseq/utils.py
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id: 1180
unit: def log_softmax()
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id: 1181
unit: def eval()
file: fairseq/utils.py
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id: 1182
unit: def no_sync()
file: fairseq/legacy_distributed_data_parallel.py
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id: 1183
unit: def load_state_dict()
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id: 1184
unit: def smoothed_value()
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id: 1185
unit: def __init__()
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id: 1186
unit: def reset()
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id: 1187
unit: def smoothed_value()
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id: 1188
unit: def __init__()
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id: 1189
unit: def stop()
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id: 1190
unit: def load_state_dict()
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id: 1191
unit: def smoothed_value()
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id: 1192
unit: def reset()
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id: 1193
unit: def log_speed()
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McCabe index: 1
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id: 1194
unit: def log_start_time()
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McCabe index: 3
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id: 1195
unit: def state_dict()
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id: 1196
unit: def _format_stats()
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id: 1197
unit: def __init__()
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id: 1198
unit: def __iter__()
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id: 1199
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id: 1200
unit: def __iter__()
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id: 1201
unit: def __init__()
file: fairseq/criterions/binary_cross_entropy.py
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McCabe index: 3
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id: 1202
unit: def __init__()
file: fairseq/criterions/label_smoothed_cross_entropy_with_multitask.py
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McCabe index: 1
number of parameters: 7

id: 1203
unit: def reduce_metrics()
file: fairseq/criterions/masked_lm.py
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McCabe index: 3
number of parameters: 1

id: 1204
unit: def _write_screen_and_file()
file: preprocess/multi_gpu_generate.py
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McCabe index: 1
number of parameters: 2

id: 1205
unit: def get_training_stats()
file: fairseq_cli/train.py
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McCabe index: 3
number of parameters: 1

id: 1206
unit: def distributed_main()
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McCabe index: 2
number of parameters: 3

id: 1207
unit: def setup_registry()
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id: 1208
unit: def __init__()
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id: 1209
unit: def __init__()
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id: 1210
unit: def get_preprocessing_parser()
file: fairseq/options.py
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McCabe index: 1
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id: 1211
unit: def __init__()
file: fairseq/bleu.py
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McCabe index: 1
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id: 1212
unit: def result_string()
file: fairseq/bleu.py
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McCabe index: 2
number of parameters: 2

id: 1213
unit: def score()
file: fairseq/bleu.py
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McCabe index: 3
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id: 1214
unit: def encode()
file: fairseq/hub_utils.py
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id: 1215
unit: def decode()
file: fairseq/hub_utils.py
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McCabe index: 1
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id: 1216
unit: def tokenize()
file: fairseq/hub_utils.py
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number of parameters: 2

id: 1217
unit: def detokenize()
file: fairseq/hub_utils.py
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McCabe index: 2
number of parameters: 2

id: 1218
unit: def apply_bpe()
file: fairseq/hub_utils.py
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McCabe index: 2
number of parameters: 2

id: 1219
unit: def remove_bpe()
file: fairseq/hub_utils.py
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McCabe index: 2
number of parameters: 2

id: 1220
unit: def get_file_extension()
file: fairseq/file_utils.py
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McCabe index: 3
number of parameters: 3

id: 1221
unit: def tokenize_line()
file: fairseq/tokenizer.py
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McCabe index: 1
number of parameters: 1

id: 1222
unit: def get_decoder_langtok()
file: fairseq/tasks/multilingual_translation.py
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McCabe index: 2
number of parameters: 2

id: 1223
unit: def load_dictionary()
file: fairseq/tasks/sentence_prediction.py
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McCabe index: 1
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id: 1224
unit: def __init__()
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McCabe index: 1
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id: 1225
unit: def __init__()
file: fairseq/tasks/translation.py
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id: 1226
unit: def __init__()
file: fairseq/tasks/legacy_masked_lm.py
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id: 1227
unit: def setup_task()
file: fairseq/tasks/cross_lingual_lm.py
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McCabe index: 1
number of parameters: 3

id: 1228
unit: def get_batch_iterator()
file: fairseq/tasks/multilingual_masked_lm.py
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McCabe index: 1
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id: 1229
unit: def load_dictionary()
file: fairseq/tasks/sentence_ranking.py
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McCabe index: 1
number of parameters: 4

id: 1230
unit: def load_state_dict()
file: fairseq/optim/lr_scheduler/reduce_lr_on_plateau.py
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McCabe index: 2
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id: 1231
unit: def params()
file: fairseq/optim/fairseq_optimizer.py
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McCabe index: 3
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id: 1232
unit: def multiply_grads()
file: fairseq/optim/fairseq_optimizer.py
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McCabe index: 3
number of parameters: 2

id: 1233
unit: def zero_grad()
file: fairseq/optim/fairseq_optimizer.py
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McCabe index: 2
number of parameters: 1

id: 1234
unit: def supports_memory_efficient_fp16()
file: fairseq/optim/fairseq_optimizer.py
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McCabe index: 2
number of parameters: 1

id: 1235
unit: def supports_flat_params()
file: fairseq/optim/fairseq_optimizer.py
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McCabe index: 2
number of parameters: 1

id: 1236
unit: def _is_warmup_end()
file: fairseq/optim/bmuf.py
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McCabe index: 2
number of parameters: 1

id: 1237
unit: def _get_options()
file: fairseq/optim/adafactor.py
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McCabe index: 1
number of parameters: 3

id: 1238
unit: def _approx_sq_grad()
file: fairseq/optim/adafactor.py
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McCabe index: 1
number of parameters: 4

id: 1239
unit: def _decrease_loss_scale()
file: fairseq/optim/fp16_optimizer.py
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McCabe index: 2
number of parameters: 1

id: 1240
unit: def has_overflow()
file: fairseq/optim/fp16_optimizer.py
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McCabe index: 4
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id: 1241
unit: def state_dict()
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id: 1242
unit: def load_state_dict()
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id: 1243
unit: def backward()
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McCabe index: 1
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id: 1244
unit: def state_dict()
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id: 1245
unit: def backward()
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McCabe index: 1
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id: 1246
unit: def __init__()
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id: 1247
unit: def buffer()
file: fairseq/sequence_generator.py
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id: 1248
unit: def replicate_first_beam()
file: fairseq/sequence_generator.py
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McCabe index: 1
number of parameters: 2

id: 1249
unit: def forward_encoder()
file: fairseq/sequence_generator.py
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McCabe index: 3
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id: 1250
unit: def optimizer()
file: fairseq/trainer.py
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id: 1251
unit: def lr_scheduler()
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id: 1252
unit: def lr_step_update()
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id: 1253
unit: def set_num_updates()
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id: 1254
unit: def __init__()
file: fairseq/modules/downsampled_multihead_attention.py
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id: 1255
unit: def reset_parameters()
file: fairseq/modules/lightconv_layer/lightconv_layer.py
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id: 1256
unit: def reorder_incremental_state()
file: fairseq/modules/transformer_layer.py
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id: 1257
unit: def forward()
file: fairseq/modules/grad_multiply.py
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id: 1258
unit: def reset_parameters()
file: fairseq/modules/lightweight_convolution.py
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id: 1259
unit: def reset_parameters()
file: fairseq/modules/lightweight_convolution.py
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id: 1260
unit: def freeze_module_params()
file: fairseq/modules/sparse_transformer_sentence_encoder.py
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id: 1261
unit: def set_num_updates()
file: fairseq/modules/gumbel_vector_quantizer.py
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id: 1262
unit: def _set_input_buffer()
file: fairseq/modules/multihead_attention.py
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McCabe index: 1
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id: 1263
unit: def freeze_module_params()
file: fairseq/modules/transformer_sentence_encoder.py
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number of parameters: 1

id: 1264
unit: def apply_sparse_mask()
file: fairseq/modules/sparse_multihead_attention.py
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McCabe index: 1
number of parameters: 5

id: 1265
unit: def LayerNorm()
file: fairseq/modules/layer_norm.py
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McCabe index: 4
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id: 1266
unit: def forward()
file: fairseq/modules/dynamic_crf_layer.py
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id: 1267
unit: def forward()
file: fairseq/modules/vggblock.py
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id: 1268
unit: def __init__()
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id: 1269
unit: def __init__()
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id: 1270
unit: def upgrade_state_dict_named()
file: fairseq/modules/adaptive_softmax.py
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id: 1271
unit: def expand_embedding()
file: fairseq/modules/kmeans_vector_quantizer.py
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McCabe index: 2
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id: 1272
unit: def __init__()
file: fairseq/modules/character_token_embedder.py
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McCabe index: 1
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id: 1273
unit: def reset_parameters()
file: fairseq/modules/dynamic_convolution.py
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McCabe index: 2
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id: 1274
unit: def get_incremental_state()
file: fairseq/incremental_decoding_utils.py
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McCabe index: 1
number of parameters: 0

id: 1275
unit: def reorder_encoder_out()
file: fairseq/models/composite_encoder.py
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McCabe index: 2
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id: 1276
unit: def upgrade_state_dict()
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McCabe index: 2
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id: 1277
unit: def forward()
file: fairseq/models/wav2vec.py
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McCabe index: 2
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id: 1278
unit: def __init__()
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McCabe index: 1
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id: 1279
unit: def __init__()
file: fairseq/models/bart/model.py
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McCabe index: 1
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id: 1280
unit: def max_positions()
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McCabe index: 2
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id: 1281
unit: def max_positions()
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McCabe index: 2
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id: 1282
unit: def __init__()
file: fairseq/models/fconv_self_att.py
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McCabe index: 1
number of parameters: 6

id: 1283
unit: def expand_bool_array()
file: fairseq/models/fconv_self_att.py
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McCabe index: 3
number of parameters: 1

id: 1284
unit: def expand_bool_array()
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McCabe index: 3
number of parameters: 1

id: 1285
unit: def save_output()
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McCabe index: 1
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id: 1286
unit: def Embedding()
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McCabe index: 1
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id: 1287
unit: def PositionalEmbedding()
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McCabe index: 1
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id: 1288
unit: def make_generation_fast_()
file: fairseq/models/fconv.py
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McCabe index: 2
number of parameters: 3

id: 1289
unit: def _embed_tokens()
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McCabe index: 3
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id: 1290
unit: def _transpose_if_training()
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McCabe index: 2
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id: 1291
unit: def __init__()
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McCabe index: 1
number of parameters: 5

id: 1292
unit: def extract_features()
file: fairseq/models/huggingface/hf_gpt2.py
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McCabe index: 1
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id: 1293
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McCabe index: 1
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id: 1294
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McCabe index: 2
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id: 1295
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McCabe index: 2
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id: 1296
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McCabe index: 1
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id: 1297
unit: def transformer_wmt_en_de_big_align()
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McCabe index: 1
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id: 1298
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id: 1299
unit: def load_state_dict()
file: fairseq/models/fairseq_model.py
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size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 1300
unit: def __init__()
file: fairseq/models/fairseq_model.py
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McCabe index: 1
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id: 1301
unit: def __init__()
file: fairseq/models/fairseq_model.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1302
unit: def compute_score()
file: fairseq/models/nat/insertion_transformer.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 1303
unit: def forward_encoder()
file: fairseq/models/nat/nonautoregressive_ensembles.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 1304
unit: def __init__()
file: fairseq/models/fairseq_decoder.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1305
unit: def hub_models()
file: fairseq/models/roberta/model_camembert.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1306
unit: def _check_src()
file: fairseq/data/transform_eos_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 1307
unit: def _check_tgt()
file: fairseq/data/transform_eos_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 3

id: 1308
unit: def __getitem__()
file: fairseq/data/dictionary.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1309
unit: def load()
file: fairseq/data/dictionary.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1310
unit: def dummy_sentence()
file: fairseq/data/dictionary.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1311
unit: def __getitem__()
file: fairseq/data/dictionary.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1312
unit: def sizes()
file: fairseq/data/resampling_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 1

id: 1313
unit: def iterations_in_epoch()
file: fairseq/data/iterators.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1314
unit: def state_dict()
file: fairseq/data/iterators.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1315
unit: def read_longs()
file: fairseq/data/indexed_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1316
unit: def exists()
file: fairseq/data/indexed_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1317
unit: def __init__()
file: fairseq/data/indexed_dataset.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 1318
unit: def _warmup_mmap_file()
file: fairseq/data/indexed_dataset.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1319
unit: def __del__()
file: fairseq/data/indexed_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1320
unit: def exists()
file: fairseq/data/indexed_dataset.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1321
unit: def __init__()
file: fairseq/data/indexed_dataset.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 1322
unit: def add_item()
file: fairseq/data/indexed_dataset.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1323
unit: def finalize()
file: fairseq/data/indexed_dataset.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1324
unit: def _map_index()
file: fairseq/data/round_robin_zip_datasets.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 1325
unit: def is_beginning_of_word()
file: fairseq/data/encoders/sentencepiece_bpe.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1326
unit: def decode()
file: fairseq/data/encoders/hf_bert_bpe.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1327
unit: def decode()
file: fairseq/data/encoders/gpt2_bpe_utils.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 1328
unit: def prefetch()
file: fairseq/data/nested_dictionary_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 1329
unit: def set_epoch()
file: fairseq/data/nested_dictionary_dataset.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1330
unit: def __init__()
file: fairseq/data/multi_corpus_sampled_dataset.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 1331
unit: def __init__()
file: fairseq/data/prepend_dataset.py
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size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 1332
unit: def merge()
file: fairseq/data/legacy/masked_lm_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1333
unit: def block_at()
file: fairseq/data/legacy/block_pair_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1334
unit: def __init__()
file: fairseq/data/pad_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 1335
unit: def _get_token_idx()
file: fairseq/data/noising.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1336
unit: def set_epoch()
file: fairseq/data/base_wrapper_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1337
unit: def supports_prefetch()
file: fairseq/data/concat_sentences_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1338
unit: def prefetch()
file: fairseq/data/concat_sentences_dataset.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 1339
unit: def move_to_cuda()
file: fairseq/utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1340
unit: def move_to_cpu()
file: fairseq/utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1341
unit: def get_incremental_state()
file: fairseq/utils.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 1342
unit: def set_torch_seed()
file: fairseq/utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1343
unit: def new_arange()
file: fairseq/utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1344
unit: def reset()
file: fairseq/logging/meters.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1345
unit: def reset()
file: fairseq/logging/meters.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1346
unit: def elapsed_time()
file: fairseq/logging/meters.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1347
unit: def log_derived()
file: fairseq/logging/metrics.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 4

id: 1348
unit: def reset_meter()
file: fairseq/logging/metrics.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1349
unit: def reset_meters()
file: fairseq/logging/metrics.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1350
unit: def get_meter()
file: fairseq/logging/metrics.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1351
unit: def load_state_dict()
file: fairseq/logging/metrics.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1352
unit: def print()
file: fairseq/logging/progress_bar.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 1353
unit: def __init__()
file: fairseq/logging/progress_bar.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 1354
unit: def __init__()
file: fairseq/criterions/sentence_prediction.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 1355
unit: def add_args()
file: fairseq/criterions/sentence_prediction.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1356
unit: def safe_divide()
file: fairseq/criterions/label_smoothed_cross_entropy_with_multitask.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1357
unit: def __init__()
file: fairseq/criterions/label_smoothed_cross_entropy.py
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size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 1358
unit: def add_args()
file: fairseq/criterions/label_smoothed_cross_entropy_with_alignment.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1359
unit: def __init__()
file: fairseq/criterions/legacy_masked_lm.py
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size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 1360
unit: def get_local_path()
file: fairseq/file_io.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1361
unit: def exists()
file: fairseq/file_io.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1362
unit: def isfile()
file: fairseq/file_io.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1363
unit: def ls()
file: fairseq/file_io.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1364
unit: def mkdirs()
file: fairseq/file_io.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1365
unit: def rm()
file: fairseq/file_io.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 1366
unit: def all_reduce()
file: fairseq/distributed_utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 1367
unit: def all_reduce_dict()
file: fairseq/distributed_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 1368
unit: void bleu_trim()
file: fairseq/clib/libbleu/libbleu.cpp
start line: 50
end line: 53
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 1369
unit: def encode()
file: preprocess/multiprocessing_bpe_encoder.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1370
unit: def hashhex()
file: preprocess/data_prepro_clean.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 1371
unit: def cli_main()
file: fairseq_cli/eval_lm.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 1372
unit: def cli_main()
file: fairseq_cli/preprocess.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 1373
unit: def cli_main()
file: fairseq_cli/interactive.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 1374
unit: def cli_main()
file: fairseq_cli/generate.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 1375
unit: def _write_screen_and_file()
file: scripts/launch_multitask_xsum.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1376
unit: def _write_screen_and_file()
file: scripts/launch_cnndm.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1377
unit: def _write_screen_and_file()
file: scripts/launch_sagemaker_unlikelihood_xsum.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1378
unit: def _write_screen_and_file()
file: scripts/launch_multitask_newsroom.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1379
unit: def _write_screen_and_file()
file: scripts/launch_multitask_cnndm.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1380
unit: def _write_screen_and_file()
file: scripts/launch_sagemaker_unlikelihood_cnndm.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 1381
unit: def add_string()
file: fairseq/bleu.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1382
unit: def brevity()
file: fairseq/bleu.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1383
unit: def setup_task()
file: fairseq/tasks/multilingual_translation.py
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size: 3 LOC
McCabe index: 1
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id: 1384
unit: def build_model()
file: fairseq/tasks/fairseq_task.py
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size: 3 LOC
McCabe index: 1
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id: 1385
unit: def build_criterion()
file: fairseq/tasks/fairseq_task.py
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size: 3 LOC
McCabe index: 1
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id: 1386
unit: def inference_step()
file: fairseq/tasks/fairseq_task.py
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size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 1387
unit: def split_exists()
file: fairseq/tasks/translation.py
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size: 3 LOC
McCabe index: 1
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id: 1388
unit: def setup_task()
file: fairseq/tasks/semisupervised_translation.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1389
unit: def _lang_to_id()
file: fairseq/tasks/cross_lingual_lm.py
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size: 3 LOC
McCabe index: 1
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id: 1390
unit: def __init__()
file: fairseq/tasks/sentence_ranking.py
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McCabe index: 1
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id: 1391
unit: def __init__()
file: fairseq/optim/adagrad.py
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McCabe index: 1
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id: 1392
unit: def add_args()
file: fairseq/optim/adagrad.py
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size: 3 LOC
McCabe index: 1
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id: 1393
unit: def step()
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id: 1394
unit: def step()
file: fairseq/optim/lr_scheduler/cosine_lr_scheduler.py
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id: 1395
unit: def step()
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id: 1396
unit: def step()
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id: 1397
unit: def __init__()
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id: 1398
unit: def __init__()
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id: 1399
unit: def __init__()
file: fairseq/optim/fairseq_optimizer.py
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McCabe index: 1
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id: 1400
unit: def set_lr()
file: fairseq/optim/fairseq_optimizer.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 1401
unit: def load_state_dict()
file: fairseq/optim/bmuf.py
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McCabe index: 1
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id: 1402
unit: def __init__()
file: fairseq/optim/adamax.py
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McCabe index: 1
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id: 1403
unit: def __init__()
file: fairseq/optim/adafactor.py
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McCabe index: 1
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id: 1404
unit: def __init__()
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McCabe index: 1
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id: 1405
unit: def __init__()
file: fairseq/optim/adadelta.py
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McCabe index: 1
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id: 1406
unit: def __init__()
file: fairseq/optim/fp16_optimizer.py
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McCabe index: 1
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id: 1407
unit: def step()
file: fairseq/optim/fp16_optimizer.py
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McCabe index: 1
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id: 1408
unit: def zero_grad()
file: fairseq/optim/fp16_optimizer.py
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size: 3 LOC
McCabe index: 1
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id: 1409
unit: def build_optimizer()
file: fairseq/optim/fp16_optimizer.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1410
unit: def reset()
file: fairseq/nan_detector.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1411
unit: def fhook_fn()
file: fairseq/nan_detector.py
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size: 3 LOC
McCabe index: 2
number of parameters: 4

id: 1412
unit: def bhook_fn()
file: fairseq/nan_detector.py
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size: 3 LOC
McCabe index: 2
number of parameters: 4

id: 1413
unit: def close()
file: fairseq/nan_detector.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 1414
unit: def generate()
file: fairseq/sequence_generator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 1415
unit: def _decode_one()
file: fairseq/sequence_generator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1416
unit: def __init__()
file: fairseq/sequence_generator.py
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size: 3 LOC
McCabe index: 2
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id: 1417
unit: def _decode_one()
file: fairseq/sequence_generator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1418
unit: def lr_step()
file: fairseq/trainer.py
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McCabe index: 1
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id: 1419
unit: def forward()
file: fairseq/modules/downsampled_multihead_attention.py
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McCabe index: 1
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id: 1420
unit: def __init__()
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id: 1421
unit: def forward()
file: fairseq/modules/downsampled_multihead_attention.py
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McCabe index: 1
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id: 1422
unit: def __init__()
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McCabe index: 1
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id: 1423
unit: def forward_idx()
file: fairseq/modules/gumbel_vector_quantizer.py
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size: 3 LOC
McCabe index: 1
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id: 1424
unit: def extra_repr()
file: fairseq/modules/dynamic_crf_layer.py
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McCabe index: 1
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id: 1425
unit: def forward_idx()
file: fairseq/modules/kmeans_vector_quantizer.py
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McCabe index: 1
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id: 1426
unit: def forward()
file: fairseq/modules/character_token_embedder.py
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McCabe index: 1
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id: 1427
unit: def _convolve()
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McCabe index: 1
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id: 1428
unit: def forward()
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McCabe index: 1
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id: 1429
unit: def __init__()
file: fairseq/modules/beamable_mm.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1430
unit: def replaced_consumer()
file: fairseq/binarizer.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 2

id: 1431
unit: def __init__()
file: fairseq/incremental_decoding_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1432
unit: def with_incremental_state()
file: fairseq/incremental_decoding_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 1

id: 1433
unit: def __init__()
file: fairseq/benchmark/dummy_model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1434
unit: def add_args()
file: fairseq/benchmark/dummy_model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1435
unit: def get_logits()
file: fairseq/models/wav2vec.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1436
unit: def __init__()
file: fairseq/models/wav2vec.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1437
unit: def forward()
file: fairseq/models/bart/model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1438
unit: def mbart_large_architecture()
file: fairseq/models/bart/model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1439
unit: def extra_repr()
file: fairseq/models/lightconv.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1440
unit: def extra_repr()
file: fairseq/models/lightconv.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1441
unit: def lightconv_wmt_en_fr_big()
file: fairseq/models/lightconv.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1442
unit: def __init__()
file: fairseq/models/fconv.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 1443
unit: def __init__()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 7

id: 1444
unit: def fconv_wmt_en_ro()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1445
unit: def build_model()
file: fairseq/models/huggingface/hf_gpt2.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1446
unit: def forward()
file: fairseq/models/transformer.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 1447
unit: def transformer_vaswani_wmt_en_fr_big()
file: fairseq/models/transformer.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1448
unit: def transformer_wmt_en_de_big()
file: fairseq/models/transformer.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1449
unit: def __init__()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1450
unit: def add_args()
file: fairseq/models/nat/insertion_transformer.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1451
unit: def enable_ensemble()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 2

id: 1452
unit: def __init__()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 1453
unit: def __init__()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 1454
unit: def gumbel_noise()
file: fairseq/models/nat/iterative_nonautoregressive_transformer.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1455
unit: def __init__()
file: fairseq/models/fairseq_encoder.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1456
unit: def __init__()
file: fairseq/data/strip_token_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1457
unit: def __getitem__()
file: fairseq/data/strip_token_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1458
unit: def batch_by_size()
file: fairseq/data/data_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1459
unit: def __init__()
file: fairseq/data/colorize_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1460
unit: def __init__()
file: fairseq/data/token_block_utils_fast.pyx
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1461
unit: def __init__()
file: fairseq/data/offset_tokens_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1462
unit: def skip()
file: fairseq/data/iterators.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1463
unit: def __init__()
file: fairseq/data/iterators.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1464
unit: def check_index()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 2

id: 1465
unit: def __del__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 1466
unit: def check_index()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 2

id: 1467
unit: def __getitem__()
file: fairseq/data/indexed_dataset.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1468
unit: def get_original_text()
file: fairseq/data/indexed_dataset.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1469
unit: def __del__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1470
unit: def size()
file: fairseq/data/backtranslation_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1471
unit: def __init__()
file: fairseq/data/truncate_last_element_dataset.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1472
unit: def prefetch()
file: fairseq/data/round_robin_zip_datasets.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 2

id: 1473
unit: def add_args()
file: fairseq/data/encoders/sentencepiece_bpe.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1474
unit: def add_args()
file: fairseq/data/encoders/fastbpe.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1475
unit: def attr()
file: fairseq/data/token_block_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1476
unit: def __init__()
file: fairseq/data/roll_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1477
unit: def __getitem__()
file: fairseq/data/roll_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1478
unit: def __getitem__()
file: fairseq/data/legacy/masked_lm_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1479
unit: def collater()
file: fairseq/data/legacy/masked_lm_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1480
unit: def num_tokens()
file: fairseq/data/legacy/masked_lm_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1481
unit: def size()
file: fairseq/data/legacy/masked_lm_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1482
unit: def _skip_sampling()
file: fairseq/data/legacy/block_pair_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 1483
unit: def __init__()
file: fairseq/data/raw_label_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1484
unit: def __init__()
file: fairseq/data/noising.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 1485
unit: def __init__()
file: fairseq/data/noising.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 1486
unit: def prefetch()
file: fairseq/data/noising.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 1487
unit: def prefetch()
file: fairseq/data/denoising_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1488
unit: def __init__()
file: fairseq/data/numel_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1489
unit: def __init__()
file: fairseq/data/base_wrapper_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1490
unit: def collate()
file: fairseq/data/language_pair_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1491
unit: def __getitem__()
file: fairseq/data/concat_dataset.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1492
unit: def size()
file: fairseq/data/concat_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1493
unit: def attr()
file: fairseq/data/concat_dataset.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1494
unit: def __init__()
file: fairseq/data/list_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1495
unit: def __iter__()
file: fairseq/data/list_dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 1496
unit: def make_positions()
file: fairseq/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 4
number of parameters: 3

id: 1497
unit: def set_trace()
file: fairseq/pdb.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 1498
unit: def __getstate__()
file: fairseq/legacy_distributed_data_parallel.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1499
unit: def __setstate__()
file: fairseq/legacy_distributed_data_parallel.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1500
unit: def __init__()
file: fairseq/logging/meters.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1501
unit: def update()
file: fairseq/logging/meters.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1502
unit: def __init__()
file: fairseq/logging/meters.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1503
unit: def log_stop_time()
file: fairseq/logging/metrics.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 1504
unit: def _str_commas()
file: fairseq/logging/progress_bar.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 1505
unit: def _str_pipes()
file: fairseq/logging/progress_bar.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 1506
unit: def __iter__()
file: fairseq/logging/progress_bar.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 1507
unit: def print()
file: fairseq/logging/progress_bar.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 1508
unit: def _close_writers()
file: fairseq/logging/progress_bar.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 0

id: 1509
unit: def log()
file: fairseq/logging/progress_bar.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 1510
unit: def print()
file: fairseq/logging/progress_bar.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 1511
unit: def add_args()
file: fairseq/criterions/label_smoothed_cross_entropy.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1512
unit: def __init__()
file: fairseq/criterions/label_smoothed_cross_entropy_with_alignment.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 1513
unit: def __init__()
file: fairseq/criterions/composite_loss.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1514
unit: def add_args()
file: fairseq/criterions/composite_loss.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1515
unit: def __init__()
file: fairseq/criterions/nat_loss.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1516
unit: def __init__()
file: fairseq/criterions/adaptive_loss.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1517
unit: def __del__()
file: fairseq/criterions/sentence_ranking.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 1518
unit: def __init__()
file: fairseq/criterions/cross_entropy.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1519
unit: def load_model_ensemble()
file: fairseq/checkpoint_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1520
unit: def register_handler()
file: fairseq/file_io.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 1521
unit: void bleu_zero_init()
file: fairseq/clib/libbleu/libbleu.cpp
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end line: 106
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1522
unit: def initializer()
file: preprocess/multiprocessing_bpe_encoder.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1523
unit: def decode()
file: preprocess/multiprocessing_bpe_encoder.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 1524
unit: def __str__()
file: fairseq_cli/eval_lm.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1525
unit: def dataset_dest_file()
file: fairseq_cli/preprocess.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 1526
unit: def __init__()
file: setup.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 1527
unit: def include_dirs()
file: setup.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 1528
unit: def last_n_checkpoints()
file: scripts/rm_pt.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 1529
unit: def every_n_checkpoints()
file: scripts/rm_pt.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 1530
unit: def step()
file: fairseq/search.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1531
unit: def set_src_lengths()
file: fairseq/search.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1532
unit: def __init__()
file: fairseq/search.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1533
unit: def get_interactive_generation_parser()
file: fairseq/options.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1534
unit: def score()
file: fairseq/bleu.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1535
unit: def device()
file: fairseq/hub_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1536
unit: def translate()
file: fairseq/hub_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1537
unit: def getarg()
file: fairseq/hub_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1538
unit: def binarize()
file: fairseq/hub_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1539
unit: def string()
file: fairseq/hub_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1540
unit: def _build_batches()
file: fairseq/hub_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1541
unit: def encode()
file: fairseq/hub_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1542
unit: def decode()
file: fairseq/hub_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1543
unit: def encode()
file: fairseq/hub_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1544
unit: def decode()
file: fairseq/hub_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1545
unit: def _lang_token()
file: fairseq/tasks/multilingual_translation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1546
unit: def max_positions()
file: fairseq/tasks/sentence_prediction.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1547
unit: def source_dictionary()
file: fairseq/tasks/sentence_prediction.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1548
unit: def target_dictionary()
file: fairseq/tasks/sentence_prediction.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1549
unit: def label_dictionary()
file: fairseq/tasks/sentence_prediction.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1550
unit: def setup_task()
file: fairseq/tasks/__init__.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1551
unit: def get_task()
file: fairseq/tasks/__init__.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1552
unit: def load_dictionary()
file: fairseq/tasks/translation_from_pretrained_xlm.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1553
unit: def add_args()
file: fairseq/tasks/fairseq_task.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1554
unit: def logging_outputs_can_be_summed()
file: fairseq/tasks/fairseq_task.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1555
unit: def load_dictionary()
file: fairseq/tasks/fairseq_task.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1556
unit: def build_dictionary()
file: fairseq/tasks/fairseq_task.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1557
unit: def setup_task()
file: fairseq/tasks/fairseq_task.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1558
unit: def load_dataset()
file: fairseq/tasks/fairseq_task.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1559
unit: def train_step()
file: fairseq/tasks/fairseq_task.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1560
unit: def begin_epoch()
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id: 1587
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id: 1588
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id: 1598
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id: 1689
unit: def __init__()
file: fairseq/modules/kmeans_vector_quantizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1690
unit: def _pass_grad()
file: fairseq/modules/kmeans_vector_quantizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1691
unit: def prepare_for_onnx_export_()
file: fairseq/modules/character_token_embedder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1692
unit: def padding_idx()
file: fairseq/modules/character_token_embedder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1693
unit: def set_beam_size()
file: fairseq/modules/beamable_mm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1694
unit: def in_proj()
file: fairseq/modules/dynamic_convolution.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1695
unit: def _get_input_buffer()
file: fairseq/modules/dynamic_convolution.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1696
unit: def _set_input_buffer()
file: fairseq/modules/dynamic_convolution.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1697
unit: def init_incremental_state()
file: fairseq/incremental_decoding_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1698
unit: def _get_full_incremental_state_key()
file: fairseq/incremental_decoding_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1699
unit: def source_dictionary()
file: fairseq/benchmark/dummy_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1700
unit: def target_dictionary()
file: fairseq/benchmark/dummy_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1701
unit: def __getitem__()
file: fairseq/benchmark/dummy_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1702
unit: def __len__()
file: fairseq/benchmark/dummy_lm.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1703
unit: def collater()
file: fairseq/benchmark/dummy_lm.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1704
unit: def sizes()
file: fairseq/benchmark/dummy_lm.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1705
unit: def num_tokens()
file: fairseq/benchmark/dummy_lm.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1706
unit: def size()
file: fairseq/benchmark/dummy_lm.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1707
unit: def ordered_indices()
file: fairseq/benchmark/dummy_lm.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1708
unit: def supports_prefetch()
file: fairseq/benchmark/dummy_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1709
unit: def source_dictionary()
file: fairseq/benchmark/dummy_masked_lm.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1710
unit: def target_dictionary()
file: fairseq/benchmark/dummy_masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1711
unit: def __getitem__()
file: fairseq/benchmark/dummy_masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1712
unit: def __len__()
file: fairseq/benchmark/dummy_masked_lm.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1713
unit: def collater()
file: fairseq/benchmark/dummy_masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1714
unit: def sizes()
file: fairseq/benchmark/dummy_masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1715
unit: def num_tokens()
file: fairseq/benchmark/dummy_masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1716
unit: def size()
file: fairseq/benchmark/dummy_masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1717
unit: def ordered_indices()
file: fairseq/benchmark/dummy_masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1718
unit: def supports_prefetch()
file: fairseq/benchmark/dummy_masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1719
unit: def forward()
file: fairseq/benchmark/dummy_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1720
unit: def max_positions()
file: fairseq/benchmark/dummy_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1721
unit: def base_architecture()
file: fairseq/benchmark/dummy_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1722
unit: def __init__()
file: fairseq/models/multilingual_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1723
unit: def __init__()
file: fairseq/models/lstm_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1724
unit: def max_positions()
file: fairseq/models/composite_encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1725
unit: def build_model()
file: fairseq/models/__init__.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1726
unit: def coalesce()
file: fairseq/models/model_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 1727
unit: def upgrade_state_dict_named()
file: fairseq/models/wav2vec.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1728
unit: def max_positions()
file: fairseq/models/wav2vec.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1729
unit: def forward()
file: fairseq/models/wav2vec.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1730
unit: def supported_targets()
file: fairseq/models/bart/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1731
unit: def device()
file: fairseq/models/bart/hub_interface.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1732
unit: def register_classification_head()
file: fairseq/models/bart/hub_interface.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1733
unit: def __init__()
file: fairseq/models/lightconv.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1734
unit: def make_generation_fast_()
file: fairseq/models/lightconv.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1735
unit: def lightconv_wmt_en_de()
file: fairseq/models/lightconv.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1736
unit: def __init__()
file: fairseq/models/fconv_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1737
unit: def pretrained()
file: fairseq/models/fconv_self_att.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1738
unit: def max_positions()
file: fairseq/models/fconv_self_att.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1739
unit: def max_positions()
file: fairseq/models/fconv_self_att.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1740
unit: def make_generation_fast_()
file: fairseq/models/fconv_self_att.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1741
unit: def max_positions()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1742
unit: def max_positions()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1743
unit: def make_generation_fast_()
file: fairseq/models/fconv.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1744
unit: def __init__()
file: fairseq/models/lstm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1745
unit: def max_positions()
file: fairseq/models/lstm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1746
unit: def extract_features()
file: fairseq/models/lstm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1747
unit: def max_positions()
file: fairseq/models/lstm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1748
unit: def make_generation_fast_()
file: fairseq/models/lstm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1749
unit: def __init__()
file: fairseq/models/lightconv_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1750
unit: def forward()
file: fairseq/models/masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1751
unit: def max_positions()
file: fairseq/models/masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1752
unit: def max_positions()
file: fairseq/models/masked_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1753
unit: def __init__()
file: fairseq/models/huggingface/hf_gpt2.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1754
unit: def max_positions()
file: fairseq/models/huggingface/hf_gpt2.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1755
unit: def build_encoder()
file: fairseq/models/transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1756
unit: def transformer_wmt_en_de()
file: fairseq/models/transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1757
unit: def add_args()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1758
unit: def build_model()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1759
unit: def get_targets()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1760
unit: def extract_features()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1761
unit: def max_positions()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1762
unit: def upgrade_state_dict()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1763
unit: def hub_models()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1764
unit: def forward_decoder()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1765
unit: def output_layer()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1766
unit: def max_positions()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1767
unit: def max_decoder_positions()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1768
unit: def max_decoder_positions()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1769
unit: def encoder()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1770
unit: def decoder()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1771
unit: def forward_decoder()
file: fairseq/models/fairseq_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1772
unit: def forward()
file: fairseq/models/fairseq_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1773
unit: def forward_decoder()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1774
unit: def extract_features()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1775
unit: def output_layer()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1776
unit: def max_positions()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1777
unit: def max_decoder_positions()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1778
unit: def supported_targets()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1779
unit: def forward()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1780
unit: def max_positions()
file: fairseq/models/fairseq_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1781
unit: def _argmax()
file: fairseq/models/nat/nonautoregressive_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1782
unit: def allow_length_beam()
file: fairseq/models/nat/nonautoregressive_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1783
unit: def forward()
file: fairseq/models/nat/nonautoregressive_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1784
unit: def nonautoregressive_transformer_wmt_en_de()
file: fairseq/models/nat/nonautoregressive_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1785
unit: def __init__()
file: fairseq/models/nat/insertion_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1786
unit: def forward()
file: fairseq/models/nat/insertion_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1787
unit: def forward_decoder()
file: fairseq/models/nat/insertion_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1788
unit: def forward_mask_ins()
file: fairseq/models/nat/insertion_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1789
unit: def forward_word_del()
file: fairseq/models/nat/insertion_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1790
unit: def allow_ensemble()
file: fairseq/models/nat/nat_crf_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1791
unit: def forward()
file: fairseq/models/nat/nat_crf_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1792
unit: def _apply_ins_masks()
file: fairseq/models/nat/levenshtein_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1793
unit: def _apply_ins_words()
file: fairseq/models/nat/levenshtein_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1794
unit: def _apply_del_words()
file: fairseq/models/nat/levenshtein_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1795
unit: def __init__()
file: fairseq/models/nat/nonautoregressive_ensembles.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1796
unit: def has_encoder()
file: fairseq/models/nat/nonautoregressive_ensembles.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1797
unit: def max_decoder_positions()
file: fairseq/models/nat/nonautoregressive_ensembles.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1798
unit: def forward_decoder()
file: fairseq/models/nat/nonautoregressive_ensembles.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1799
unit: def initialize_output_tokens()
file: fairseq/models/nat/nonautoregressive_ensembles.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1800
unit: def __init__()
file: fairseq/models/nat/nonautoregressive_ensembles.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1801
unit: def initialize_output_tokens()
file: fairseq/models/nat/nonautoregressive_ensembles.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1802
unit: def allow_length_beam()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1803
unit: def allow_ensemble()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1804
unit: def forward_encoder()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1805
unit: def forward_decoder()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1806
unit: def initialize_output_tokens()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1807
unit: def forward()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1808
unit: def forward()
file: fairseq/models/nat/fairseq_nat_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1809
unit: def allow_length_beam()
file: fairseq/models/nat/levenshtein_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1810
unit: def forward()
file: fairseq/models/nat/levenshtein_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1811
unit: def forward_decoder()
file: fairseq/models/nat/levenshtein_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1812
unit: def extract_features()
file: fairseq/models/nat/levenshtein_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1813
unit: def levenshtein_transformer_wmt_en_de()
file: fairseq/models/nat/levenshtein_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1814
unit: def forward()
file: fairseq/models/nat/iterative_nonautoregressive_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1815
unit: def iter_nat_wmt_en_de()
file: fairseq/models/nat/iterative_nonautoregressive_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1816
unit: def add_args()
file: fairseq/models/nat/cmlm_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1817
unit: def forward()
file: fairseq/models/nat/cmlm_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1818
unit: def cmlm_wmt_en_de()
file: fairseq/models/nat/cmlm_transformer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1819
unit: def __init__()
file: fairseq/models/fairseq_incremental_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1820
unit: def forward()
file: fairseq/models/fairseq_incremental_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1821
unit: def extract_features()
file: fairseq/models/fairseq_incremental_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1822
unit: def forward()
file: fairseq/models/fairseq_encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1823
unit: def reorder_encoder_out()
file: fairseq/models/fairseq_encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1824
unit: def max_positions()
file: fairseq/models/fairseq_encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1825
unit: def upgrade_state_dict()
file: fairseq/models/fairseq_encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1826
unit: def build_encoder()
file: fairseq/models/transformer_from_pretrained_xlm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1827
unit: def build_decoder()
file: fairseq/models/transformer_from_pretrained_xlm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1828
unit: def upgrade_state_dict_with_xlm_weights()
file: fairseq/models/transformer_from_pretrained_xlm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1829
unit: def base_architecture()
file: fairseq/models/transformer_from_pretrained_xlm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1830
unit: def extract_features()
file: fairseq/models/fairseq_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1831
unit: def output_layer()
file: fairseq/models/fairseq_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1832
unit: def max_positions()
file: fairseq/models/fairseq_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1833
unit: def upgrade_state_dict()
file: fairseq/models/fairseq_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1834
unit: def prepare_for_onnx_export_()
file: fairseq/models/fairseq_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1835
unit: def __init__()
file: fairseq/models/transformer_lm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1836
unit: def supported_targets()
file: fairseq/models/roberta/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1837
unit: def output_layer()
file: fairseq/models/roberta/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1838
unit: def max_positions()
file: fairseq/models/roberta/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1839
unit: def roberta_base_architecture()
file: fairseq/models/roberta/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1840
unit: def device()
file: fairseq/models/roberta/hub_interface.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1841
unit: def register_classification_head()
file: fairseq/models/roberta/hub_interface.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1842
unit: def __getitem__()
file: fairseq/data/transform_eos_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1843
unit: def __len__()
file: fairseq/data/transform_eos_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1844
unit: def num_tokens()
file: fairseq/data/transform_eos_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1845
unit: def ordered_indices()
file: fairseq/data/transform_eos_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1846
unit: def supports_prefetch()
file: fairseq/data/transform_eos_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1847
unit: def prefetch()
file: fairseq/data/transform_eos_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1848
unit: def __eq__()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1849
unit: def __len__()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1850
unit: def __contains__()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1851
unit: def bos()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1852
unit: def pad()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1853
unit: def eos()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1854
unit: def unk()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1855
unit: def _get_meta()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1856
unit: def _load_meta()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1857
unit: def _add_file_to_dictionary_single_worker()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1858
unit: def __len__()
file: fairseq/data/dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1859
unit: def __getitem__()
file: fairseq/data/resampling_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1860
unit: def __len__()
file: fairseq/data/resampling_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1861
unit: def num_tokens()
file: fairseq/data/resampling_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1862
unit: def size()
file: fairseq/data/resampling_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1863
unit: def prefetch()
file: fairseq/data/resampling_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1864
unit: def __init__()
file: fairseq/data/lru_cache_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1865
unit: def __getitem__()
file: fairseq/data/lru_cache_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1866
unit: def collater()
file: fairseq/data/lru_cache_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1867
unit: def __getitem__()
file: fairseq/data/offset_tokens_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1868
unit: def __len__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1869
unit: def __next__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1870
unit: def has_next()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1871
unit: def take()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1872
unit: def __len__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1873
unit: def next_epoch_itr()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1874
unit: def end_of_epoch()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1875
unit: def iterations_in_epoch()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1876
unit: def state_dict()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1877
unit: def load_state_dict()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1878
unit: def __init__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1879
unit: def end_of_epoch()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1880
unit: def load_state_dict()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1881
unit: def __len__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1882
unit: def end_of_epoch()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1883
unit: def __len__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1884
unit: def __iter__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1885
unit: def __len__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1886
unit: def __iter__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1887
unit: def __next__()
file: fairseq/data/iterators.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1888
unit: def get_available_dataset_impl()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1889
unit: def write_longs()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1890
unit: def index_file_path()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1891
unit: def data_file_path()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1892
unit: def read_data()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1893
unit: def __len__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1894
unit: def num_tokens()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1895
unit: def size()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1896
unit: def supports_prefetch()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1897
unit: def supports_prefetch()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1898
unit: def __del__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1899
unit: def __len__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1900
unit: def num_tokens()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1901
unit: def size()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1902
unit: def exists()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1903
unit: def dtype()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1904
unit: def sizes()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1905
unit: def __getitem__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1906
unit: def __len__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1907
unit: def __getstate__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1908
unit: def __setstate__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1909
unit: def __len__()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1910
unit: def sizes()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1911
unit: def supports_prefetch()
file: fairseq/data/indexed_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1912
unit: def __getitem__()
file: fairseq/data/backtranslation_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1913
unit: def __len__()
file: fairseq/data/backtranslation_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1914
unit: def set_backtranslation_fn()
file: fairseq/data/backtranslation_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1915
unit: def num_tokens()
file: fairseq/data/backtranslation_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1916
unit: def ordered_indices()
file: fairseq/data/backtranslation_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1917
unit: def supports_prefetch()
file: fairseq/data/backtranslation_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1918
unit: def prefetch()
file: fairseq/data/backtranslation_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1919
unit: def sizes()
file: fairseq/data/truncate_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1920
unit: def __len__()
file: fairseq/data/truncate_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1921
unit: def __len__()
file: fairseq/data/round_robin_zip_datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1922
unit: def encode()
file: fairseq/data/encoders/gpt2_bpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1923
unit: def is_beginning_of_word()
file: fairseq/data/encoders/gpt2_bpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1924
unit: def encode()
file: fairseq/data/encoders/sentencepiece_bpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1925
unit: def decode()
file: fairseq/data/encoders/sentencepiece_bpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1926
unit: def __init__()
file: fairseq/data/encoders/space_tokenizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1927
unit: def encode()
file: fairseq/data/encoders/space_tokenizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1928
unit: def decode()
file: fairseq/data/encoders/space_tokenizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1929
unit: def encode()
file: fairseq/data/encoders/hf_bert_bpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1930
unit: def is_beginning_of_word()
file: fairseq/data/encoders/hf_bert_bpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1931
unit: def encode()
file: fairseq/data/encoders/subword_nmt_bpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1932
unit: def decode()
file: fairseq/data/encoders/subword_nmt_bpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1933
unit: def encode()
file: fairseq/data/encoders/fastbpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1934
unit: def decode()
file: fairseq/data/encoders/fastbpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1935
unit: def decode()
file: fairseq/data/encoders/moses_tokenizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1936
unit: def encode()
file: fairseq/data/encoders/nltk_tokenizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1937
unit: def decode()
file: fairseq/data/encoders/nltk_tokenizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1938
unit: def encode()
file: fairseq/data/encoders/hf_byte_bpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1939
unit: def is_beginning_of_word()
file: fairseq/data/encoders/hf_byte_bpe.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1940
unit: def slice_indices()
file: fairseq/data/token_block_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1941
unit: def sizes()
file: fairseq/data/token_block_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1942
unit: def block_to_dataset_index()
file: fairseq/data/token_block_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1943
unit: def __len__()
file: fairseq/data/token_block_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1944
unit: def supports_prefetch()
file: fairseq/data/token_block_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1945
unit: def __getitem__()
file: fairseq/data/nested_dictionary_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 1946
unit: def __len__()
file: fairseq/data/nested_dictionary_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1947
unit: def num_tokens()
file: fairseq/data/nested_dictionary_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 1948
unit: def supports_prefetch()
file: fairseq/data/nested_dictionary_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1949
unit: def set_epoch()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1950
unit: def __getitem__()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1951
unit: def __len__()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1952
unit: def collater()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1953
unit: def num_tokens()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1954
unit: def size()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1955
unit: def ordered_indices()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1956
unit: def supports_prefetch()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1957
unit: def attr()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1958
unit: def prefetch()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1959
unit: def __iter__()
file: fairseq/data/fairseq_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1960
unit: def uniform_sampler()
file: fairseq/data/multi_corpus_sampled_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1961
unit: def __len__()
file: fairseq/data/multi_corpus_sampled_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1962
unit: def sizes()
file: fairseq/data/append_token_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1963
unit: def ordered_indices()
file: fairseq/data/sort_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1964
unit: def __getitem__()
file: fairseq/data/id_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1965
unit: def __len__()
file: fairseq/data/id_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1966
unit: def collater()
file: fairseq/data/id_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1967
unit: def __len__()
file: fairseq/data/monolingual_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1968
unit: def collater()
file: fairseq/data/monolingual_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1969
unit: def num_tokens()
file: fairseq/data/monolingual_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1970
unit: def size()
file: fairseq/data/monolingual_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1971
unit: def supports_prefetch()
file: fairseq/data/monolingual_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1972
unit: def prefetch()
file: fairseq/data/monolingual_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1973
unit: def __getitem__()
file: fairseq/data/audio/raw_audio_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1974
unit: def __len__()
file: fairseq/data/audio/raw_audio_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1975
unit: def num_tokens()
file: fairseq/data/audio/raw_audio_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1976
unit: def size()
file: fairseq/data/audio/raw_audio_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1977
unit: def set_epoch()
file: fairseq/data/mask_tokens_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1978
unit: def __len__()
file: fairseq/data/legacy/masked_lm_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1979
unit: def supports_prefetch()
file: fairseq/data/legacy/masked_lm_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1980
unit: def prefetch()
file: fairseq/data/legacy/masked_lm_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1981
unit: def mask()
file: fairseq/data/legacy/masked_lm_dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1982
unit: def cls()
file: fairseq/data/legacy/masked_lm_dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1983
unit: def sep()
file: fairseq/data/legacy/masked_lm_dictionary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1984
unit: def __len__()
file: fairseq/data/legacy/block_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1985
unit: def supports_prefetch()
file: fairseq/data/legacy/block_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1986
unit: def __getitem__()
file: fairseq/data/num_samples_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1987
unit: def __len__()
file: fairseq/data/num_samples_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1988
unit: def collater()
file: fairseq/data/num_samples_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1989
unit: def __getitem__()
file: fairseq/data/subsample_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1990
unit: def __len__()
file: fairseq/data/subsample_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1991
unit: def collater()
file: fairseq/data/subsample_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1992
unit: def sizes()
file: fairseq/data/subsample_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1993
unit: def name()
file: fairseq/data/subsample_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1994
unit: def num_tokens()
file: fairseq/data/subsample_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1995
unit: def size()
file: fairseq/data/subsample_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1996
unit: def prefetch()
file: fairseq/data/subsample_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1997
unit: def sizes()
file: fairseq/data/prepend_token_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1998
unit: def __getitem__()
file: fairseq/data/lm_context_window_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1999
unit: def __len__()
file: fairseq/data/lm_context_window_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2000
unit: def num_tokens()
file: fairseq/data/lm_context_window_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2001
unit: def size()
file: fairseq/data/lm_context_window_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2002
unit: def ordered_indices()
file: fairseq/data/lm_context_window_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2003
unit: def supports_prefetch()
file: fairseq/data/lm_context_window_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2004
unit: def prefetch()
file: fairseq/data/lm_context_window_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2005
unit: def __getitem__()
file: fairseq/data/raw_label_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2006
unit: def __len__()
file: fairseq/data/raw_label_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2007
unit: def collater()
file: fairseq/data/raw_label_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2008
unit: def collater()
file: fairseq/data/pad_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2009
unit: def __init__()
file: fairseq/data/pad_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 2010
unit: def __init__()
file: fairseq/data/pad_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 2011
unit: def noising()
file: fairseq/data/noising.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 2012
unit: def __len__()
file: fairseq/data/noising.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2013
unit: def supports_prefetch()
file: fairseq/data/noising.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2014
unit: def set_epoch()
file: fairseq/data/denoising_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 2015
unit: def __len__()
file: fairseq/data/denoising_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2016
unit: def collater()
file: fairseq/data/denoising_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2017
unit: def num_tokens()
file: fairseq/data/denoising_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2018
unit: def size()
file: fairseq/data/denoising_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2019
unit: def __getitem__()
file: fairseq/data/transform_eos_lang_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2020
unit: def __len__()
file: fairseq/data/transform_eos_lang_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2021
unit: def num_tokens()
file: fairseq/data/transform_eos_lang_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2022
unit: def size()
file: fairseq/data/transform_eos_lang_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2023
unit: def ordered_indices()
file: fairseq/data/transform_eos_lang_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2024
unit: def supports_prefetch()
file: fairseq/data/transform_eos_lang_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2025
unit: def prefetch()
file: fairseq/data/transform_eos_lang_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2026
unit: def __len__()
file: fairseq/data/numel_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2027
unit: def __getitem__()
file: fairseq/data/base_wrapper_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2028
unit: def __len__()
file: fairseq/data/base_wrapper_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2029
unit: def sizes()
file: fairseq/data/base_wrapper_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2030
unit: def num_tokens()
file: fairseq/data/base_wrapper_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2031
unit: def size()
file: fairseq/data/base_wrapper_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2032
unit: def ordered_indices()
file: fairseq/data/base_wrapper_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2033
unit: def supports_prefetch()
file: fairseq/data/base_wrapper_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2034
unit: def prefetch()
file: fairseq/data/base_wrapper_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2035
unit: def __len__()
file: fairseq/data/language_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2036
unit: def num_tokens()
file: fairseq/data/language_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 2037
unit: def size()
file: fairseq/data/language_pair_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 2038
unit: def __len__()
file: fairseq/data/concat_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2039
unit: def num_tokens()
file: fairseq/data/concat_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2040
unit: def supports_prefetch()
file: fairseq/data/concat_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 2041
unit: def ordered_indices()
file: fairseq/data/concat_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2042
unit: def collater()
file: fairseq/data/list_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2043
unit: def sizes()
file: fairseq/data/list_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2044
unit: def num_tokens()
file: fairseq/data/list_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2045
unit: def size()
file: fairseq/data/list_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2046
unit: def set_epoch()
file: fairseq/data/list_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2047
unit: def __getitem__()
file: fairseq/data/concat_sentences_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 2048
unit: def __len__()
file: fairseq/data/concat_sentences_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2049
unit: def collater()
file: fairseq/data/concat_sentences_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2050
unit: def sizes()
file: fairseq/data/concat_sentences_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 2051
unit: def num_tokens()
file: fairseq/data/concat_sentences_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 2052
unit: def size()
file: fairseq/data/concat_sentences_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 2053
unit: def ordered_indices()
file: fairseq/data/concat_sentences_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2054
unit: def split_paths()
file: fairseq/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 2055
unit: def post_process_prediction()
file: fairseq/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 2056
unit: def strip_pad()
file: fairseq/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2057
unit: def convert_padding_direction()
file: fairseq/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 2058
unit: def fill_with_neg_inf()
file: fairseq/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2059
unit: def deprecation_warning()
file: fairseq/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2060
unit: def __init__()
file: fairseq/pdb.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2061
unit: def forward()
file: fairseq/legacy_distributed_data_parallel.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 2062
unit: def __init__()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2063
unit: def state_dict()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2064
unit: def load_state_dict()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2065
unit: def reset()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2066
unit: def smoothed_value()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2067
unit: def avg()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 2068
unit: def avg()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2069
unit: def elapsed_time()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2070
unit: def start()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2071
unit: def avg()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 2072
unit: def add_meter()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 2073
unit: def __init__()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2074
unit: def reset()
file: fairseq/logging/meters.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2075
unit: def get_active_aggregators()
file: fairseq/logging/metrics.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 2076
unit: def get_meters()
file: fairseq/logging/metrics.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 2077
unit: def get_smoothed_value()
file: fairseq/logging/metrics.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 2078
unit: def get_smoothed_values()
file: fairseq/logging/metrics.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
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id: 2091
unit: def logging_outputs_can_be_summed()
file: fairseq/criterions/sentence_prediction.py
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id: 2092
unit: def logging_outputs_can_be_summed()
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id: 2093
unit: def logging_outputs_can_be_summed()
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unit: def logging_outputs_can_be_summed()
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id: 2095
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id: 2096
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id: 2097
unit: def aggregate_logging_outputs()
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id: 2098
unit: def logging_outputs_can_be_summed()
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id: 2099
unit: def build_criterion()
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id: 2100
unit: def logging_outputs_can_be_summed()
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id: 2101
unit: def _compute_loss()
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unit: def logging_outputs_can_be_summed()
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unit: def logging_outputs_can_be_summed()
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unit: def logging_outputs_can_be_summed()
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id: 2106
unit: def logging_outputs_can_be_summed()
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id: 2107
unit: def logging_outputs_can_be_summed()
file: fairseq/criterions/sentence_ranking.py
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id: 2108
unit: def logging_outputs_can_be_summed()
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id: 2109
unit: def load_pretrained_component_from_model()
file: fairseq/checkpoint_utils.py
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id: 2110
unit: def is_master()
file: fairseq/distributed_utils.py
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id: 2111
unit: def get_rank()
file: fairseq/distributed_utils.py
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id: 2112
unit: def get_world_size()
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id: 2113
unit: def get_default_group()
file: fairseq/distributed_utils.py
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id: 2114
unit: def __init__()
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id: 2115
unit: def get_offsets()
file: fairseq_cli/preprocess.py
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id: 2116
unit: def include_dirs()
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