id: 1
unit: int get_cooccurrence()
file: utils_nlp/models/glove/src/cooccur.c
start line: 308
end line: 449
size: 127 LOC
McCabe index: 44
number of parameters: 0

id: 2
unit: def _fast_translate_batch()
file: utils_nlp/models/transformers/bertsum/predictor.py
start line: 0
end line: 0
size: 121 LOC
McCabe index: 32
number of parameters: 6

id: 3
unit: def _compute_ngrams_lcs()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 104 LOC
McCabe index: 32
number of parameters: 4

id: 4
unit: int save_params()
file: utils_nlp/models/glove/src/glove.c
start line: 178
end line: 290
size: 96 LOC
McCabe index: 43
number of parameters: 1

id: 5
unit: int main()
file: utils_nlp/models/glove/src/glove.c
start line: 367
end line: 459
size: 90 LOC
McCabe index: 24
number of parameters: 2

id: 6
unit: def get_parallel_minibatch()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 80 LOC
McCabe index: 18
number of parameters: 4

id: 7
unit: def run()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 73 LOC
McCabe index: 9
number of parameters: 1

id: 8
unit: def _create_qa_example()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 73 LOC
McCabe index: 23
number of parameters: 2

id: 9
unit: def CNNDMSummarizationDataset()
file: utils_nlp/dataset/cnndm.py
start line: 0
end line: 0
size: 71 LOC
McCabe index: 7
number of parameters: 2

id: 10
unit: def collate()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 64 LOC
McCabe index: 15
number of parameters: 5

id: 11
unit: def load_pandas_df()
file: utils_nlp/dataset/squad.py
start line: 0
end line: 0
size: 62 LOC
McCabe index: 12
number of parameters: 3

id: 12
unit: def eval()
file: utils_nlp/eval/SentEval/senteval/engine.py
start line: 0
end line: 0
size: 59 LOC
McCabe index: 28
number of parameters: 2

id: 13
unit: def get_hidden_states()
file: utils_nlp/models/bert/sequence_encoding.py
start line: 0
end line: 0
size: 52 LOC
McCabe index: 6
number of parameters: 3

id: 14
unit: int train_glove()
file: utils_nlp/models/glove/src/glove.c
start line: 293
end line: 351
size: 52 LOC
McCabe index: 17
number of parameters: 0

id: 15
unit: def _get_final_text()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 52 LOC
McCabe index: 21
number of parameters: 4

id: 16
unit: def run()
file: utils_nlp/eval/SentEval/senteval/sick.py
start line: 0
end line: 0
size: 50 LOC
McCabe index: 9
number of parameters: 3

id: 17
unit: int get_counts()
file: utils_nlp/models/glove/src/vocab_count.c
start line: 167
end line: 224
size: 50 LOC
McCabe index: 19
number of parameters: 0

id: 18
unit: int merge_files()
file: utils_nlp/models/glove/src/cooccur.c
start line: 251
end line: 305
size: 49 LOC
McCabe index: 10
number of parameters: 1

id: 19
unit: def advance()
file: utils_nlp/models/transformers/bertsum/beam.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 19
number of parameters: 3

id: 20
unit: def encode_single()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 30
number of parameters: 4

id: 21
unit: int main()
file: utils_nlp/models/glove/src/cooccur.c
start line: 465
end line: 521
size: 48 LOC
McCabe index: 12
number of parameters: 2

id: 22
unit: def load_pandas_df()
file: utils_nlp/dataset/xnli.py
start line: 0
end line: 0
size: 46 LOC
McCabe index: 18
number of parameters: 3

id: 23
unit: def run()
file: utils_nlp/eval/SentEval/senteval/tools/validation.py
start line: 0
end line: 0
size: 46 LOC
McCabe index: 9
number of parameters: 1

id: 24
unit: def get_raw_scores()
file: utils_nlp/eval/question_answering.py
start line: 0
end line: 0
size: 46 LOC
McCabe index: 14
number of parameters: 3

id: 25
unit: int shuffle_by_chunks()
file: utils_nlp/models/glove/src/shuffle.c
start line: 129
end line: 175
size: 45 LOC
McCabe index: 11
number of parameters: 0

id: 26
unit: def run()
file: utils_nlp/eval/SentEval/senteval/sick.py
start line: 0
end line: 0
size: 44 LOC
McCabe index: 7
number of parameters: 3

id: 27
unit: def run()
file: utils_nlp/eval/SentEval/senteval/tools/validation.py
start line: 0
end line: 0
size: 44 LOC
McCabe index: 9
number of parameters: 1

id: 28
unit: def build_vocab()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 44 LOC
McCabe index: 11
number of parameters: 1

id: 29
unit: def preprocess_classification_tokens()
file: utils_nlp/models/xlnet/common.py
start line: 0
end line: 0
size: 44 LOC
McCabe index: 11
number of parameters: 3

id: 30
unit: def vocab_expansion()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 43 LOC
McCabe index: 9
number of parameters: 2

id: 31
unit: int shuffle_merge()
file: utils_nlp/models/glove/src/shuffle.c
start line: 81
end line: 126
size: 43 LOC
McCabe index: 12
number of parameters: 1

id: 32
unit: def pool()
file: utils_nlp/models/bert/sequence_encoding.py
start line: 0
end line: 0
size: 42 LOC
McCabe index: 8
number of parameters: 2

id: 33
unit: def run()
file: utils_nlp/eval/SentEval/senteval/mrpc.py
start line: 0
end line: 0
size: 41 LOC
McCabe index: 7
number of parameters: 3

id: 34
unit: def run()
file: utils_nlp/eval/SentEval/senteval/tools/validation.py
start line: 0
end line: 0
size: 40 LOC
McCabe index: 12
number of parameters: 1

id: 35
unit: def _preprocess()
file: utils_nlp/models/gensen/preprocess_utils.py
start line: 0
end line: 0
size: 40 LOC
McCabe index: 2
number of parameters: 3

id: 36
unit: def run()
file: utils_nlp/eval/SentEval/senteval/snli.py
start line: 0
end line: 0
size: 39 LOC
McCabe index: 9
number of parameters: 3

id: 37
unit: def trainepoch()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 39 LOC
McCabe index: 7
number of parameters: 6

id: 38
unit: def compute_rouge_perl()
file: utils_nlp/eval/rouge/compute_rouge.py
start line: 0
end line: 0
size: 39 LOC
McCabe index: 8
number of parameters: 4

id: 39
unit: def _load_params()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 39 LOC
McCabe index: 4
number of parameters: 1

id: 40
unit: def predict()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 39 LOC
McCabe index: 4
number of parameters: 5

id: 41
unit: def run()
file: utils_nlp/eval/SentEval/senteval/sts.py
start line: 0
end line: 0
size: 38 LOC
McCabe index: 9
number of parameters: 3

id: 42
unit: def _preprocess_summary_per_sentence()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 38 LOC
McCabe index: 14
number of parameters: 2

id: 43
unit: def get_optimizer()
file: utils_nlp/eval/SentEval/senteval/utils.py
start line: 0
end line: 0
size: 37 LOC
McCabe index: 13
number of parameters: 1

id: 44
unit: def run()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 36 LOC
McCabe index: 5
number of parameters: 3

id: 45
unit: def run()
file: utils_nlp/eval/SentEval/senteval/trec.py
start line: 0
end line: 0
size: 36 LOC
McCabe index: 7
number of parameters: 3

id: 46
unit: def predict()
file: utils_nlp/models/bert/sequence_classification_distributed.py
start line: 0
end line: 0
size: 36 LOC
McCabe index: 5
number of parameters: 4

id: 47
unit: def get_minibatch()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 13
number of parameters: 4

id: 48
unit: def add_param_group()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 11
number of parameters: 2

id: 49
unit: def greedy_selection()
file: utils_nlp/dataset/sentence_selection.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 11
number of parameters: 3

id: 50
unit: def run()
file: utils_nlp/eval/SentEval/senteval/rank.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 3
number of parameters: 3

id: 51
unit: def parallelize_model()
file: utils_nlp/common/pytorch_utils.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 11
number of parameters: 5

id: 52
unit: def run()
file: utils_nlp/eval/SentEval/senteval/sst.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 3
number of parameters: 3

id: 53
unit: def preprocess()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 10
number of parameters: 3

id: 54
unit: def build_optim()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 11
number of parameters: 3

id: 55
unit: def find_best_thresh()
file: utils_nlp/eval/question_answering.py
start line: 0
end line: 0
size: 32 LOC
McCabe index: 16
number of parameters: 5

id: 56
unit: def save_model()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 32 LOC
McCabe index: 7
number of parameters: 3

id: 57
unit: def i2t()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 3

id: 58
unit: def compute_rouge_python()
file: utils_nlp/eval/rouge/compute_rouge.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 7
number of parameters: 4

id: 59
unit: def _preprocess_summary_as_a_whole()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 13
number of parameters: 2

id: 60
unit: def append_senteval_params()
file: utils_nlp/eval/senteval.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 2

id: 61
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 11
number of parameters: 8

id: 62
unit: def forward()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 5

id: 63
unit: def step()
file: utils_nlp/models/transformers/bertsum/adam.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 9
number of parameters: 2

id: 64
unit: def synchronize()
file: utils_nlp/azureml/azureml_bert_util.py
start line: 0
end line: 0
size: 29 LOC
McCabe index: 9
number of parameters: 1

id: 65
unit: def combination_selection()
file: utils_nlp/dataset/sentence_selection.py
start line: 0
end line: 0
size: 29 LOC
McCabe index: 13
number of parameters: 3

id: 66
unit: def _load_sts()
file: utils_nlp/dataset/stsbenchmark.py
start line: 0
end line: 0
size: 29 LOC
McCabe index: 2
number of parameters: 1

id: 67
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/snli.py
start line: 0
end line: 0
size: 29 LOC
McCabe index: 1
number of parameters: 3

id: 68
unit: int get_word()
file: utils_nlp/models/glove/src/cooccur.c
start line: 134
end line: 164
size: 29 LOC
McCabe index: 22
number of parameters: 2

id: 69
unit: int get_word()
file: utils_nlp/models/glove/src/vocab_count.c
start line: 135
end line: 165
size: 29 LOC
McCabe index: 22
number of parameters: 2

id: 70
unit: def fit()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 29 LOC
McCabe index: 1
number of parameters: 0

id: 71
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 29 LOC
McCabe index: 11
number of parameters: 3

id: 72
unit: def text_pair_transform()
file: utils_nlp/models/transformers/sequence_classification.py
start line: 0
end line: 0
size: 29 LOC
McCabe index: 10
number of parameters: 4

id: 73
unit: def maybe_download()
file: utils_nlp/dataset/url_utils.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 7
number of parameters: 4

id: 74
unit: def set_parameters()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 11
number of parameters: 2

id: 75
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/tools/classifier.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 9
number of parameters: 8

id: 76
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/tools/relatedness.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 6

id: 77
unit: int main()
file: utils_nlp/models/glove/src/shuffle.c
start line: 191
end line: 220
size: 27 LOC
McCabe index: 6
number of parameters: 2

id: 78
unit: def get_predicted_token_labels()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 7
number of parameters: 4

id: 79
unit: def t2i()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 26 LOC
McCabe index: 5
number of parameters: 3

id: 80
unit: def _get_optimizer()
file: utils_nlp/models/bert/token_classification.py
start line: 0
end line: 0
size: 26 LOC
McCabe index: 8
number of parameters: 4

id: 81
unit: def set_pretrained_embeddings()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 26 LOC
McCabe index: 4
number of parameters: 2

id: 82
unit: def first_expansion()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 26 LOC
McCabe index: 5
number of parameters: 1

id: 83
unit: def _split_and_cleanup()
file: utils_nlp/models/gensen/preprocess_utils.py
start line: 0
end line: 0
size: 26 LOC
McCabe index: 3
number of parameters: 2

id: 84
unit: def fetch_buffer()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 26 LOC
McCabe index: 6
number of parameters: 3

id: 85
unit: def load_pandas_df()
file: utils_nlp/dataset/msrpc.py
start line: 0
end line: 0
size: 25 LOC
McCabe index: 2
number of parameters: 2

id: 86
unit: def run()
file: utils_nlp/eval/SentEval/senteval/tools/relatedness.py
start line: 0
end line: 0
size: 25 LOC
McCabe index: 8
number of parameters: 1

id: 87
unit: def preprocess_classification_tokens()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 25 LOC
McCabe index: 21
number of parameters: 3

id: 88
unit: def preprocess_encoder_tokens()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 25 LOC
McCabe index: 21
number of parameters: 3

id: 89
unit: void initialize_parameters()
file: utils_nlp/models/glove/src/glove.c
start line: 66
end line: 92
size: 25 LOC
McCabe index: 7
number of parameters: 0

id: 90
unit: void hashinsert()
file: utils_nlp/models/glove/src/vocab_count.c
start line: 96
end line: 123
size: 25 LOC
McCabe index: 6
number of parameters: 2

id: 91
unit: def forward()
file: utils_nlp/models/pytorch_modules/conditional_gru.py
start line: 0
end line: 0
size: 25 LOC
McCabe index: 3
number of parameters: 4

id: 92
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/rank.py
start line: 0
end line: 0
size: 24 LOC
McCabe index: 6
number of parameters: 2

id: 93
unit: def fit()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 24 LOC
McCabe index: 1
number of parameters: 0

id: 94
unit: def shards()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 24 LOC
McCabe index: 12
number of parameters: 3

id: 95
unit: def get_default_optimizer()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 24 LOC
McCabe index: 7
number of parameters: 4

id: 96
unit: def fit()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 24 LOC
McCabe index: 1
number of parameters: 0

id: 97
unit: def load_train_test_dfs()
file: utils_nlp/dataset/wikigold.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 2
number of parameters: 3

id: 98
unit: def _trim_vocab()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 10
number of parameters: 2

id: 99
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 0

id: 100
unit: def __getitem__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 2
number of parameters: 2

id: 101
unit: def get_inputs()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 3
number of parameters: 4

id: 102
unit: def run()
file: utils_nlp/eval/SentEval/senteval/binary.py
start line: 0
end line: 0
size: 22 LOC
McCabe index: 4
number of parameters: 3

id: 103
unit: def __getitem__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 22 LOC
McCabe index: 2
number of parameters: 2

id: 104
unit: def get_true_test_labels()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 22 LOC
McCabe index: 6
number of parameters: 3

id: 105
unit: def clean_cols()
file: utils_nlp/dataset/snli.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 1

id: 106
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 5

id: 107
unit: int main()
file: utils_nlp/models/glove/src/vocab_count.c
start line: 240
end line: 261
size: 21 LOC
McCabe index: 5
number of parameters: 2

id: 108
unit: def fine_tune()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 0

id: 109
unit: def __getitem__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 2

id: 110
unit: def save_model()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 2

id: 111
unit: def remove_pixelserver_from_notebook()
file: tools/remove_pixelserver.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 8
number of parameters: 1

id: 112
unit: def register_model()
file: utils_nlp/azureml/azureml_bert_util.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 8
number of parameters: 3

id: 113
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/engine.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 10
number of parameters: 4

id: 114
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/sts.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 7
number of parameters: 2

id: 115
unit: def fit()
file: utils_nlp/eval/SentEval/senteval/tools/classifier.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 6
number of parameters: 6

id: 116
unit: def forward()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 5

id: 117
unit: void delete()
file: utils_nlp/models/glove/src/cooccur.c
start line: 218
end line: 237
size: 20 LOC
McCabe index: 7
number of parameters: 2

id: 118
unit: def score()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 3

id: 119
unit: def step()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 8
number of parameters: 1

id: 120
unit: def trainepoch()
file: utils_nlp/eval/SentEval/senteval/tools/classifier.py
start line: 0
end line: 0
size: 19 LOC
McCabe index: 4
number of parameters: 4

id: 121
unit: def evaluate()
file: utils_nlp/eval/evaluate_squad.py
start line: 0
end line: 0
size: 19 LOC
McCabe index: 5
number of parameters: 2

id: 122
unit: def _make_eval_dict()
file: utils_nlp/eval/question_answering.py
start line: 0
end line: 0
size: 19 LOC
McCabe index: 4
number of parameters: 3

id: 123
unit: def forward()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 19 LOC
McCabe index: 7
number of parameters: 5

id: 124
unit: def tile()
file: utils_nlp/models/transformers/bertsum/predictor.py
start line: 0
end line: 0
size: 19 LOC
McCabe index: 3
number of parameters: 3

id: 125
unit: def __init__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 19 LOC
McCabe index: 6
number of parameters: 6

id: 126
unit: def fit()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 19 LOC
McCabe index: 1
number of parameters: 0

id: 127
unit: def score()
file: utils_nlp/eval/SentEval/senteval/tools/classifier.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 5
number of parameters: 3

id: 128
unit: def create_dictionary()
file: utils_nlp/eval/SentEval/senteval/utils.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 5
number of parameters: 1

id: 129
unit: def __init__()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 1
number of parameters: 0

id: 130
unit: def set_pretrained_embeddings()
file: utils_nlp/models/gensen/multi_task_model.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 4
number of parameters: 2

id: 131
unit: def get_inputs()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 3
number of parameters: 4

id: 132
unit: def batch_buffer()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 7
number of parameters: 3

id: 133
unit: def save_data()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 5
number of parameters: 4

id: 134
unit: def fit()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 1
number of parameters: 0

id: 135
unit: def fit()
file: utils_nlp/models/transformers/sequence_classification.py
start line: 0
end line: 0
size: 18 LOC
McCabe index: 1
number of parameters: 0

id: 136
unit: def __init__()
file: utils_nlp/azureml/azureml_bert_util.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 3
number of parameters: 2

id: 137
unit: def get_device()
file: utils_nlp/common/pytorch_utils.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 6
number of parameters: 3

id: 138
unit: def prepare_split()
file: utils_nlp/eval/SentEval/senteval/tools/classifier.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 4
number of parameters: 5

id: 139
unit: def __init__()
file: utils_nlp/interpreter/Interpreter.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 3
number of parameters: 7

id: 140
unit: def validate()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 2
number of parameters: 2

id: 141
unit: def save_model()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 3
number of parameters: 4

id: 142
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 3
number of parameters: 3

id: 143
unit: def predict()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 2
number of parameters: 6

id: 144
unit: def _compute_softmax()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 17 LOC
McCabe index: 7
number of parameters: 1

id: 145
unit: def preprocess_conll()
file: utils_nlp/dataset/ner_utils.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 9
number of parameters: 2

id: 146
unit: def trainepoch()
file: utils_nlp/eval/SentEval/senteval/tools/relatedness.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 4

id: 147
unit: def optimize()
file: utils_nlp/interpreter/Interpreter.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 4

id: 148
unit: void hashinsert()
file: utils_nlp/models/glove/src/cooccur.c
start line: 107
end line: 122
size: 16 LOC
McCabe index: 5
number of parameters: 3

id: 149
unit: def predict()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 10

id: 150
unit: def _next_dataset_iterator()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 2

id: 151
unit: def get_inputs()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 4

id: 152
unit: def _check_is_max_context()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 16
number of parameters: 3

id: 153
unit: def get_inputs()
file: utils_nlp/models/transformers/sequence_classification.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 4

id: 154
unit: def cal_rouge()
file: utils_nlp/dataset/sentence_selection.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 2

id: 155
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/sick.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 2

id: 156
unit: def calculate_regularization()
file: utils_nlp/interpreter/Interpreter.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 4

id: 157
unit: def _truncate_seq_pair()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 7
number of parameters: 4

id: 158
unit: def __init__()
file: utils_nlp/models/gensen/multi_task_model.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 0

id: 159
unit: int write_chunk()
file: utils_nlp/models/glove/src/cooccur.c
start line: 167
end line: 183
size: 15 LOC
McCabe index: 5
number of parameters: 3

id: 160
unit: def format_summary()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 161
unit: def to()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 162
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 6

id: 163
unit: def postprocess()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 0

id: 164
unit: def load_pandas_df()
file: utils_nlp/dataset/bbc_hindi.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 165
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/sick.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 166
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/sst.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 167
unit: def get_rouge()
file: utils_nlp/eval/evaluate_summarization.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 4

id: 168
unit: def _compute_ngrams()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 4

id: 169
unit: def get_hidden()
file: utils_nlp/models/gensen/multi_task_model.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 4

id: 170
unit: def gensen_preprocess()
file: utils_nlp/models/gensen/preprocess_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 4

id: 171
unit: def preprocess()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 3

id: 172
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 6

id: 173
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 5

id: 174
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 0

id: 175
unit: def _get_files()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 2

id: 176
unit: def collate()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 9
number of parameters: 5

id: 177
unit: def get_inputs()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 4

id: 178
unit: def postprocess_xlnet_answer()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 0

id: 179
unit: def fit()
file: utils_nlp/models/xlnet/sequence_classification.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 0

id: 180
unit: def download()
file: utils_nlp/dataset/cnndm.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 181
unit: def _maybe_download_and_extract()
file: utils_nlp/dataset/snli.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 182
unit: def load_dataset()
file: utils_nlp/dataset/wikigold.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 183
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 2

id: 184
unit: def predict()
file: utils_nlp/eval/SentEval/senteval/tools/classifier.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 185
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/tools/validation.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 4

id: 186
unit: def create_data_loader()
file: utils_nlp/models/bert/sequence_classification_distributed.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 5

id: 187
unit: int find_arg()
file: utils_nlp/models/glove/src/cooccur.c
start line: 451
end line: 463
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 188
unit: int find_arg()
file: utils_nlp/models/glove/src/glove.c
start line: 353
end line: 365
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 189
unit: int find_arg()
file: utils_nlp/models/glove/src/shuffle.c
start line: 177
end line: 189
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 190
unit: int find_arg()
file: utils_nlp/models/glove/src/vocab_count.c
start line: 226
end line: 238
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 191
unit: def predict()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 0

id: 192
unit: def generate_summary_from_tokenid()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 193
unit: def __init__()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 0

id: 194
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/beam.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 12

id: 195
unit: def create_batch_with_size()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 196
unit: def create_batches()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 1

id: 197
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 7

id: 198
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 4

id: 199
unit: def forward()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 200
unit: def forward()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 8

id: 201
unit: def beam_update()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 4

id: 202
unit: def save_model()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 2

id: 203
unit: def preprocess_single_add_oracleids()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 204
unit: def postprocess_bert_answer()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 0

id: 205
unit: def __init__()
file: utils_nlp/models/xlnet/sequence_classification.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 0

id: 206
unit: def get_amp()
file: utils_nlp/common/pytorch_utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 207
unit: def load_tc_dataset()
file: utils_nlp/dataset/bbc_hindi.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 208
unit: def load_tc_dataset()
file: utils_nlp/dataset/dac.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 209
unit: def download_tsv_files_and_extract()
file: utils_nlp/dataset/multinli.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 1

id: 210
unit: def load_tc_dataset()
file: utils_nlp/dataset/multinli.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 211
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/mrpc.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 2

id: 212
unit: def predict_proba()
file: utils_nlp/eval/SentEval/senteval/tools/classifier.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 2

id: 213
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/tools/validation.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 4

id: 214
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/trec.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 2

id: 215
unit: def forward()
file: utils_nlp/interpreter/Interpreter.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 216
unit: def fit()
file: utils_nlp/models/bert/sequence_classification.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 0

id: 217
unit: def sort_finished()
file: utils_nlp/models/transformers/bertsum/beam.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 5
number of parameters: 2

id: 218
unit: def filter_shard_state()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 6
number of parameters: 2

id: 219
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/predictor.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 0

id: 220
unit: def shorten()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 2

id: 221
unit: def splits()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 3

id: 222
unit: def predict()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 0

id: 223
unit: def predict()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 5

id: 224
unit: def predict()
file: utils_nlp/models/transformers/sequence_classification.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 5

id: 225
unit: def _allreduce_tensor()
file: utils_nlp/azureml/azureml_bert_util.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 226
unit: def load_pandas_df()
file: utils_nlp/dataset/snli.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 4

id: 227
unit: def __getitem__()
file: utils_nlp/dataset/xnli_torch_dataset.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 228
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 4

id: 229
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 230
unit: def predict_proba()
file: utils_nlp/eval/SentEval/senteval/tools/relatedness.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 231
unit: def normalize_answer()
file: utils_nlp/eval/evaluate_squad.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 232
unit: def f1_score()
file: utils_nlp/eval/evaluate_squad.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 233
unit: def visualize()
file: utils_nlp/interpreter/Interpreter.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 234
unit: def __getitem__()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 235
unit: def fit()
file: utils_nlp/models/bert/sequence_classification_distributed.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 236
unit: def __init__()
file: utils_nlp/models/bert/sequence_encoding.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 237
unit: def __init__()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 238
unit: def _maybe_download_and_extract()
file: utils_nlp/models/pretrained_embeddings/fasttext.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 239
unit: def _maybe_download_and_extract()
file: utils_nlp/models/pretrained_embeddings/glove.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 240
unit: def _maybe_download_and_extract()
file: utils_nlp/models/pretrained_embeddings/word2vec.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 241
unit: def compute_token_type_ids()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 242
unit: def __init__()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 243
unit: def collate_fn()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 7
number of parameters: 1

id: 244
unit: def simple_batch_size_fn()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 245
unit: def __iter__()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 6
number of parameters: 1

id: 246
unit: def map_batch_fn()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 5
number of parameters: 2

id: 247
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 4

id: 248
unit: def load_checkpoint()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 249
unit: def prepare_model_and_optimizer()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 250
unit: def __init__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 251
unit: def parallel_preprocess()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 3

id: 252
unit: def predict_scores()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 5

id: 253
unit: def text_transform()
file: utils_nlp/models/transformers/sequence_classification.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 3

id: 254
unit: def stop()
file: utils_nlp/common/timer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 255
unit: def download_path()
file: utils_nlp/dataset/url_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 256
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/sst.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 257
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/sts.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 258
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/tools/classifier.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 7

id: 259
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/tools/validation.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 260
unit: def __init__()
file: utils_nlp/models/bert/sequence_classification.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 261
unit: def save_model()
file: utils_nlp/models/bert/sequence_classification_distributed.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 262
unit: def __init__()
file: utils_nlp/models/bert/token_classification.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 263
unit: def fit()
file: utils_nlp/models/bert/token_classification.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 264
unit: void shuffle()
file: utils_nlp/models/glove/src/shuffle.c
start line: 69
end line: 78
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 265
unit: def get_inputs()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 266
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 267
unit: def __getitem__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 268
unit: def __init__()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 269
unit: def _create_qa_features()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 270
unit: def __init__()
file: utils_nlp/models/transformers/sequence_classification.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 271
unit: def _tokenize()
file: utils_nlp/dataset/xnli_torch_dataset.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 272
unit: def encode_labels()
file: utils_nlp/eval/SentEval/senteval/sick.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 3

id: 273
unit: def prepare_data()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 7

id: 274
unit: def get_classif_name()
file: utils_nlp/eval/SentEval/senteval/tools/validation.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 275
unit: def _apply_no_ans_threshold()
file: utils_nlp/eval/question_answering.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 4

id: 276
unit: int merge_write()
file: utils_nlp/models/glove/src/cooccur.c
start line: 240
end line: 248
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 277
unit: def _extract_word2vec_vectors()
file: utils_nlp/models/pretrained_embeddings/word2vec.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 278
unit: def __init__()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 279
unit: def _get_model_type()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 280
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 6

id: 281
unit: def get_stream()
file: utils_nlp/models/transformers/bertsum/dataset.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 282
unit: def forward()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 283
unit: def forward()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 284
unit: def forward()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 5

id: 285
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 286
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 5

id: 287
unit: def load_optimizer_checkpoint()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 288
unit: def build_optim()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 289
unit: def forward()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 290
unit: def sequence_mask()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 291
unit: def forward()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 292
unit: def build_predictor()
file: utils_nlp/models/transformers/bertsum/predictor.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 293
unit: def __init__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 294
unit: def __init__()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 295
unit: def model_name()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 296
unit: def get_or_create_amlcompute()
file: utils_nlp/azureml/azureml_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 297
unit: def get_output_files()
file: utils_nlp/azureml/azureml_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 298
unit: def detokenize()
file: utils_nlp/dataset/cnndm.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 299
unit: def load_pandas_df()
file: utils_nlp/dataset/dac.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 300
unit: def get_random_batches()
file: utils_nlp/dataset/data_loaders.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 301
unit: def get_random_batches()
file: utils_nlp/dataset/data_loaders.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 302
unit: def load_pandas_df()
file: utils_nlp/dataset/multinli.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 303
unit: def __init__()
file: utils_nlp/dataset/xnli_torch_dataset.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 304
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/mrpc.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 305
unit: def prepare_data()
file: utils_nlp/eval/SentEval/senteval/tools/relatedness.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 7

id: 306
unit: def plot_confusion_matrix()
file: utils_nlp/eval/classification.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 307
unit: def predict()
file: utils_nlp/models/bert/sequence_classification.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 308
unit: void insert()
file: utils_nlp/models/glove/src/cooccur.c
start line: 208
end line: 215
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 309
unit: inline real check_nan()
file: utils_nlp/models/glove/src/glove.c
start line: 94
end line: 101
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 310
unit: static long rand_long()
file: utils_nlp/models/glove/src/shuffle.c
start line: 52
end line: 59
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 311
unit: def _extract_fasttext_vectors()
file: utils_nlp/models/pretrained_embeddings/fasttext.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 312
unit: def _extract_glove_vectors()
file: utils_nlp/models/pretrained_embeddings/glove.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 313
unit: def __init__()
file: utils_nlp/models/pytorch_modules/conditional_gru.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 314
unit: def model_name()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 315
unit: def detokenize()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 316
unit: def create_s2s_dataset()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 317
unit: def load_and_cache_examples()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 318
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/adam.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 319
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 6

id: 320
unit: def forward()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 321
unit: def forward()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 322
unit: def abs_loss()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 323
unit: def build_optim_bert()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 324
unit: def build_optim_dec()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 325
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 326
unit: def _preprocess()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 3

id: 327
unit: def __init__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 328
unit: def save_to_jsonl()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 329
unit: def get_dataloader()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 330
unit: def model_name()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 331
unit: def __init__()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 332
unit: def preprocess()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 333
unit: def _improve_answer_span()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 4

id: 334
unit: def _get_best_indexes()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 335
unit: def __init__()
file: utils_nlp/models/transformers/sequence_classification.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 336
unit: def get_all_notebook_files()
file: tools/remove_pixelserver.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 0

id: 337
unit: def get_auth()
file: utils_nlp/azureml/azureml_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 0

id: 338
unit: def move_model_to_device()
file: utils_nlp/common/pytorch_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 339
unit: def get_sequential_batches()
file: utils_nlp/dataset/data_loaders.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 340
unit: def _get_ngrams()
file: utils_nlp/dataset/sentence_selection.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 341
unit: def _maybe_download_and_extract()
file: utils_nlp/dataset/stsbenchmark.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 342
unit: def extract_tar()
file: utils_nlp/dataset/url_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 343
unit: def extract_zip()
file: utils_nlp/dataset/url_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 344
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/sick.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 345
unit: def do_prepare()
file: utils_nlp/eval/SentEval/senteval/sick.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 346
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/sick.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 347
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/sts.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 348
unit: def forward()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 349
unit: def eval_classification()
file: utils_nlp/eval/classification.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 350
unit: def _get_unigrams()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 351
unit: def hi_stem()
file: utils_nlp/language_utils/hi/hindi_stemmer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 1

id: 352
unit: def encode()
file: utils_nlp/models/bert/sequence_encoding.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 353
unit: def get_representation()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 354
unit: def __init__()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 355
unit: def get_representation()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 356
unit: def init_weights()
file: utils_nlp/models/gensen/multi_task_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 357
unit: def decode()
file: utils_nlp/models/gensen/multi_task_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 358
unit: unsigned int bitwisehash()
file: utils_nlp/models/glove/src/cooccur.c
start line: 76
end line: 82
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 359
unit: unsigned int bitwisehash()
file: utils_nlp/models/glove/src/vocab_count.c
start line: 78
end line: 84
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 360
unit: def __init__()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 361
unit: def get_hyp()
file: utils_nlp/models/transformers/bertsum/beam.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 362
unit: def iter()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 363
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 364
unit: def _init_cache()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 365
unit: def _compute_loss()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 366
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 5

id: 367
unit: def forward()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 368
unit: def _set_rate()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 369
unit: def length_penalty()
file: utils_nlp/models/transformers/bertsum/penalties.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 370
unit: def get_default_scheduler()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 371
unit: def _create_data_from_iterator()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 372
unit: def get_pred()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 373
unit: def _get_ngrams()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 374
unit: def _block_tri()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 375
unit: def __init__()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 376
unit: def preprocess()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 377
unit: def log_xlnet_params()
file: utils_nlp/models/xlnet/common.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 378
unit: def get_or_create_workspace()
file: utils_nlp/azureml/azureml_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 379
unit: def download_msrpc()
file: utils_nlp/dataset/msrpc.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 380
unit: def get_generator()
file: utils_nlp/dataset/multinli.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 381
unit: def to_lowercase()
file: utils_nlp/dataset/preprocess.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 382
unit: def load_azureml_df()
file: utils_nlp/dataset/snli.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 383
unit: def _extract_sts()
file: utils_nlp/dataset/stsbenchmark.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 384
unit: def clean_sts()
file: utils_nlp/dataset/stsbenchmark.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 385
unit: def do_prepare()
file: utils_nlp/eval/SentEval/senteval/sts.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 386
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/sts.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 387
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/sts.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 388
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/sts.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 389
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/sts.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 390
unit: def metric_max_over_ground_truths()
file: utils_nlp/eval/evaluate_squad.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 391
unit: def __init__()
file: utils_nlp/models/bert/sequence_classification_distributed.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 392
unit: def create_optimizer()
file: utils_nlp/models/bert/sequence_classification_distributed.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 393
unit: def shuffle_dataset()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 394
unit: def fit_to_block_size()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 395
unit: def eachiter()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 396
unit: def detach()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 397
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 398
unit: def sharded_compute_loss()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 5

id: 399
unit: def _stats()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 400
unit: def _make_shard_state()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 401
unit: def aeq()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 402
unit: def gelu()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 403
unit: def unshape()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 404
unit: def forward()
file: utils_nlp/models/transformers/bertsum/predictor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 405
unit: def set_seed()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 406
unit: def load_model()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 407
unit: def collate_processed_data()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 9
number of parameters: 1

id: 408
unit: def create_label_map()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 2

id: 409
unit: def __init__()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 410
unit: def _make_hook()
file: utils_nlp/azureml/azureml_bert_util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 411
unit: def interval()
file: utils_nlp/common/timer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 412
unit: def get_sequential_batches()
file: utils_nlp/dataset/data_loaders.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 413
unit: def rm_spacy_stopwords()
file: utils_nlp/dataset/preprocess.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 414
unit: def convert_to_unicode()
file: utils_nlp/dataset/preprocess.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 415
unit: def _get_word_ngrams()
file: utils_nlp/dataset/sentence_selection.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 416
unit: def _download_sts()
file: utils_nlp/dataset/stsbenchmark.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 417
unit: def _load_pandas_df()
file: utils_nlp/dataset/xnli_torch_dataset.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 418
unit: def _fit_train_labels()
file: utils_nlp/dataset/xnli_torch_dataset.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 419
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/binary.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 420
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/binary.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 421
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/binary.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 422
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/binary.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 423
unit: def do_prepare()
file: utils_nlp/eval/SentEval/senteval/mrpc.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 424
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/rank.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 425
unit: def do_prepare()
file: utils_nlp/eval/SentEval/senteval/rank.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 426
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/sts.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 427
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/trec.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 428
unit: def _split_into_words()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 4
number of parameters: 2

id: 429
unit: def _get_word_ngrams_and_length()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 430
unit: def __init__()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 431
unit: def tokenize()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 5
number of parameters: 2

id: 432
unit: def __init__()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 433
unit: def layer_index()
file: utils_nlp/models/bert/sequence_encoding.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 434
unit: def create_label_map()
file: utils_nlp/models/bert/token_classification.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 435
unit: def create_multiseq2seq_model()
file: utils_nlp/models/gensen/create_gensen_model.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 436
unit: int compare_crec()
file: utils_nlp/models/glove/src/cooccur.c
start line: 186
end line: 191
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 437
unit: int compare_crecid()
file: utils_nlp/models/glove/src/cooccur.c
start line: 194
end line: 198
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 438
unit: void swap_entry()
file: utils_nlp/models/glove/src/cooccur.c
start line: 201
end line: 205
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 439
unit: int write_chunk()
file: utils_nlp/models/glove/src/shuffle.c
start line: 62
end line: 66
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 440
unit: int CompareVocabTie()
file: utils_nlp/models/glove/src/vocab_count.c
start line: 61
end line: 66
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 441
unit: int CompareVocab()
file: utils_nlp/models/glove/src/vocab_count.c
start line: 69
end line: 73
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 442
unit: def build_mask()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 443
unit: def this_model_move_callback()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 444
unit: def load_from_json()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 445
unit: def _pad()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 4
number of parameters: 4

id: 446
unit: def data()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 447
unit: def _get_attn_subsequent_mask()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 448
unit: def init_decoder_state()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 4

id: 449
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 450
unit: def _all()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 451
unit: def update_state()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 452
unit: def forward()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 453
unit: def __init__()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 454
unit: def preprocess()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 455
unit: def main()
file: tools/remove_pixelserver.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 456
unit: def warmup_linear()
file: utils_nlp/azureml/azureml_bert_util.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 457
unit: def __init__()
file: utils_nlp/common/timer.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 458
unit: def _clean()
file: utils_nlp/dataset/cnndm.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 459
unit: def _remove_ttags()
file: utils_nlp/dataset/cnndm.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 460
unit: def __init__()
file: utils_nlp/dataset/data_loaders.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 7

id: 461
unit: def __init__()
file: utils_nlp/dataset/data_loaders.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 462
unit: def read_conll_file()
file: utils_nlp/dataset/ner_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 463
unit: def to_spacy_tokens()
file: utils_nlp/dataset/preprocess.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 464
unit: def to_nltk_tokens()
file: utils_nlp/dataset/preprocess.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 465
unit: def rm_nltk_stopwords()
file: utils_nlp/dataset/preprocess.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 466
unit: def extract_snli()
file: utils_nlp/dataset/snli.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 467
unit: def clean_rows()
file: utils_nlp/dataset/snli.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 468
unit: def clean_df()
file: utils_nlp/dataset/snli.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 469
unit: def load_pandas_df()
file: utils_nlp/dataset/stsbenchmark.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 470
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/binary.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 471
unit: def do_prepare()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 472
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/snli.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 473
unit: def do_prepare()
file: utils_nlp/eval/SentEval/senteval/sst.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 474
unit: def proj_sentence()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 475
unit: def proj_image()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 476
unit: def stem_tokens()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 477
unit: int scmp()
file: utils_nlp/models/glove/src/cooccur.c
start line: 68
end line: 71
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 478
unit: int scmp()
file: utils_nlp/models/glove/src/glove.c
start line: 61
end line: 64
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 479
unit: int scmp()
file: utils_nlp/models/glove/src/shuffle.c
start line: 45
end line: 48
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 480
unit: int scmp()
file: utils_nlp/models/glove/src/vocab_count.c
start line: 54
end line: 57
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 481
unit: def _download_fasttext_vectors()
file: utils_nlp/models/pretrained_embeddings/fasttext.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 482
unit: def load_pretrained_vectors()
file: utils_nlp/models/pretrained_embeddings/fasttext.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 483
unit: def _download_glove_vectors()
file: utils_nlp/models/pretrained_embeddings/glove.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 484
unit: def reset_parameters()
file: utils_nlp/models/pytorch_modules/conditional_gru.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 485
unit: def collate_fn()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 486
unit: def collate_fn()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 487
unit: def __setstate__()
file: utils_nlp/models/transformers/bertsum/adam.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 488
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/beam.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 489
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 490
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 491
unit: def forward()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 492
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 493
unit: def monolithic_compute_loss()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 494
unit: def get_generator()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 495
unit: def forward()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 496
unit: def use_gpu()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 4
number of parameters: 1

id: 497
unit: def load_state_dict()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 498
unit: def _line_iter()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 499
unit: def collate_fn()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 500
unit: def collate()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 501
unit: def read()
file: setup.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 502
unit: def set_accumulation_step()
file: utils_nlp/azureml/azureml_bert_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 503
unit: def __enter__()
file: utils_nlp/common/timer.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 504
unit: def start()
file: utils_nlp/common/timer.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 505
unit: def download_snli()
file: utils_nlp/dataset/snli.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 506
unit: def loadFile()
file: utils_nlp/eval/SentEval/senteval/binary.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 507
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 508
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 509
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 510
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 511
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 512
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 513
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 514
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 515
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 516
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/probing.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 517
unit: def __init__()
file: utils_nlp/eval/SentEval/senteval/tools/ranking.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 518
unit: def do_prepare()
file: utils_nlp/eval/SentEval/senteval/trec.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 519
unit: def _merge_eval()
file: utils_nlp/eval/question_answering.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 520
unit: def __init__()
file: utils_nlp/eval/senteval.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 521
unit: def get_sigma()
file: utils_nlp/interpreter/Interpreter.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 522
unit: def get_dataset_multiple_files()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 523
unit: def cuda()
file: utils_nlp/models/bert/sequence_classification.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 524
unit: def cuda()
file: utils_nlp/models/bert/sequence_encoding.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 525
unit: def cuda()
file: utils_nlp/models/bert/token_classification.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 526
unit: def __init__()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 527
unit: def vocab_expansion()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 528
unit: def _reset_filepointer()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 529
unit: def save_to_json()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 530
unit: def get_current_state()
file: utils_nlp/models/transformers/bertsum/beam.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 531
unit: def get_current_origin()
file: utils_nlp/models/transformers/bertsum/beam.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 532
unit: def score()
file: utils_nlp/models/transformers/bertsum/beam.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 533
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/dataset.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 534
unit: def detach()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 535
unit: def zero_grad()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 536
unit: def step()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 537
unit: def length_wu()
file: utils_nlp/models/transformers/bertsum/penalties.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 538
unit: def __iter__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 539
unit: def adjust_gradient_accumulation_steps()
file: utils_nlp/azureml/azureml_bert_util.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 540
unit: def dataloader_from_dataset()
file: utils_nlp/common/pytorch_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 541
unit: def compute_training_steps()
file: utils_nlp/common/pytorch_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 542
unit: def __exit__()
file: utils_nlp/common/timer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 543
unit: def __str__()
file: utils_nlp/common/timer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 544
unit: def get_label_values()
file: utils_nlp/dataset/bbc_hindi.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 545
unit: def _target_sentence_tokenization()
file: utils_nlp/dataset/cnndm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 546
unit: def join()
file: utils_nlp/dataset/cnndm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 547
unit: def CNNDMSummarizationDatasetOrg()
file: utils_nlp/dataset/cnndm.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 548
unit: def get_label_values()
file: utils_nlp/dataset/dac.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 549
unit: def download_file_and_extract()
file: utils_nlp/dataset/multinli.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 550
unit: def get_label_values()
file: utils_nlp/dataset/multinli.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 551
unit: def to_lowercase_all()
file: utils_nlp/dataset/preprocess.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 552
unit: def maybe_download_googledrive()
file: utils_nlp/dataset/url_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 553
unit: def get_unique_labels()
file: utils_nlp/dataset/wikigold.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 554
unit: def __len__()
file: utils_nlp/dataset/xnli_torch_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 555
unit: def do_prepare()
file: utils_nlp/eval/SentEval/senteval/binary.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 556
unit: def do_prepare()
file: utils_nlp/eval/SentEval/senteval/snli.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 557
unit: def cosine()
file: utils_nlp/eval/SentEval/senteval/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 558
unit: def compute_correlation_coefficients()
file: utils_nlp/eval/classification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 559
unit: def exact_match_score()
file: utils_nlp/eval/evaluate_squad.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 560
unit: def find_all_best_thresh()
file: utils_nlp/eval/question_answering.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 561
unit: def evaluate_qa()
file: utils_nlp/eval/question_answering.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 562
unit: def tokenize_text()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 563
unit: def split_into_sentences()
file: utils_nlp/eval/rouge/rouge_ext.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 564
unit: def model_params()
file: utils_nlp/eval/senteval.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 565
unit: def model_params()
file: utils_nlp/eval/senteval.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 566
unit: def tokenize_ner()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 567
unit: def _is_iterable_but_not_string()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 568
unit: def create_data_loader()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 569
unit: def __len__()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 570
unit: def _cast()
file: utils_nlp/models/bert/common.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 571
unit: def layer_index()
file: utils_nlp/models/bert/sequence_encoding.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 572
unit: def pooling_strategy()
file: utils_nlp/models/bert/sequence_encoding.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 573
unit: def pooling_strategy()
file: utils_nlp/models/bert/sequence_encoding.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 574
unit: def predict()
file: utils_nlp/models/bert/token_classification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 575
unit: def postprocess_token_labels()
file: utils_nlp/models/bert/token_classification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 576
unit: def __init__()
file: utils_nlp/models/gensen/gensen.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 577
unit: def forward()
file: utils_nlp/models/gensen/multi_task_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 578
unit: def construct_vocab()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 579
unit: def get_parallel_minibatch()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 580
unit: def __init__()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 581
unit: def shuffle_dataset()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 582
unit: def get_validation_minibatch()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 583
unit: def compute_validation_loss()
file: utils_nlp/models/gensen/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 584
unit: def download_and_extract()
file: utils_nlp/models/pretrained_embeddings/glove.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 585
unit: def load_pretrained_vectors()
file: utils_nlp/models/pretrained_embeddings/glove.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 586
unit: def _download_word2vec_vectors()
file: utils_nlp/models/pretrained_embeddings/word2vec.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 587
unit: def load_pretrained_vectors()
file: utils_nlp/models/pretrained_embeddings/word2vec.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 588
unit: def list_supported_models()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 589
unit: def model_name()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 590
unit: def list_supported_models()
file: utils_nlp/models/transformers/abstractive_summarization_bertsum.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 591
unit: def __init__()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 592
unit: def __getitem__()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 593
unit: def __len__()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 594
unit: def __init__()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 595
unit: def list_supported_models()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 596
unit: def s2s_dataset_from_iterable_sum_ds()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 597
unit: def s2s_dataset_from_sum_ds()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 598
unit: def s2s_dataset_from_json_or_file()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 599
unit: def list_supported_models()
file: utils_nlp/models/transformers/abstractive_summarization_seq2seq.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 600
unit: def done()
file: utils_nlp/models/transformers/bertsum/beam.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 601
unit: def __iter__()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 602
unit: def __len__()
file: utils_nlp/models/transformers/bertsum/data_loader.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 603
unit: def get_dataset()
file: utils_nlp/models/transformers/bertsum/dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 604
unit: def __iter__()
file: utils_nlp/models/transformers/bertsum/dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 605
unit: def __len__()
file: utils_nlp/models/transformers/bertsum/dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 606
unit: def __getitem__()
file: utils_nlp/models/transformers/bertsum/dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 607
unit: def repeat_beam_size_times()
file: utils_nlp/models/transformers/bertsum/decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 608
unit: def get_emb()
file: utils_nlp/models/transformers/bertsum/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 609
unit: def _make_shard_state()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 610
unit: def _compute_loss()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 611
unit: def _bottle()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 612
unit: def _unbottle()
file: utils_nlp/models/transformers/bertsum/loss.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 613
unit: def load_cp()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 614
unit: def forward()
file: utils_nlp/models/transformers/bertsum/model_builder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 615
unit: def shape()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 616
unit: def map_batch_fn()
file: utils_nlp/models/transformers/bertsum/neural.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 617
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 618
unit: def state()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 619
unit: def state_dict()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 620
unit: def load_state_dict()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 621
unit: def state_dict()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 622
unit: def zero_grad()
file: utils_nlp/models/transformers/bertsum/optimizers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 623
unit: def __init__()
file: utils_nlp/models/transformers/bertsum/penalties.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 624
unit: def length_average()
file: utils_nlp/models/transformers/bertsum/penalties.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 625
unit: def length_none()
file: utils_nlp/models/transformers/bertsum/penalties.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 626
unit: def model_name()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 627
unit: def model_type()
file: utils_nlp/models/transformers/common.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 628
unit: def __len__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 629
unit: def __init__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 630
unit: def __len__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 631
unit: def __len__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 632
unit: def get_source()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 633
unit: def get_target()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 634
unit: def __len__()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 635
unit: def get_source()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 636
unit: def get_source_txt()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 637
unit: def get_target_txt()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 638
unit: def get_target()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 639
unit: def parallel_preprocess()
file: utils_nlp/models/transformers/datasets.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 640
unit: def __init__()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 641
unit: def list_supported_models()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 642
unit: def model_name()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 643
unit: def list_supported_models()
file: utils_nlp/models/transformers/extractive_summarization.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 644
unit: def _is_iterable_but_not_string()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 645
unit: def list_supported_models()
file: utils_nlp/models/transformers/named_entity_recognition.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 646
unit: def _list_supported_models()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 647
unit: def model_name()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 648
unit: def model_type()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 649
unit: def list_supported_models()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 650
unit: def __init__()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 651
unit: def list_supported_models()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 652
unit: def _is_iterable_but_not_string()
file: utils_nlp/models/transformers/question_answering.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 653
unit: def dataset_from_dataframe()
file: utils_nlp/models/transformers/sequence_classification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 654
unit: def list_supported_models()
file: utils_nlp/models/transformers/sequence_classification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 655
unit: def __init__()
file: utils_nlp/models/xlnet/common.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 656
unit: def predict()
file: utils_nlp/models/xlnet/sequence_classification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0