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unit: def diverse_beam_search()
file: question_generation_model.py
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McCabe index: 26
number of parameters: 6

id: 2
unit: def beam_search()
file: question_generation_model.py
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id: 3
unit: def generate_batch()
file: question_generation_model.py
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number of parameters: 6

id: 4
unit: def build_vocabulary()
file: datasets.py
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McCabe index: 19
number of parameters: 1

id: 5
unit: def __init__()
file: datasets.py
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McCabe index: 12
number of parameters: 9

id: 6
unit: def greedy_search()
file: question_generation_model.py
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size: 52 LOC
McCabe index: 15
number of parameters: 4

id: 7
unit: def train_model()
file: question_generation_model.py
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number of parameters: 7

id: 8
unit: def get_processed_fields()
file: datasets.py
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McCabe index: 12
number of parameters: 4

id: 9
unit: def test_model()
file: question_generation_model.py
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id: 10
unit: def build()
file: bert_layer.py
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number of parameters: 2

id: 11
unit: def dissimilarity_grouping()
file: question_generation_model.py
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number of parameters: 4

id: 12
unit: def convert_single_example()
file: bert_layer.py
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id: 13
unit: def load_test_data()
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id: 14
unit: def test_model_demo()
file: question_generation_model.py
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id: 15
unit: def preprocess_bert_input()
file: bert_layer.py
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id: 16
unit: def build_keyword_model()
file: question_generation_model.py
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McCabe index: 1
number of parameters: 1

id: 17
unit: def build_elmo_model()
file: question_generation_model.py
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McCabe index: 1
number of parameters: 1

id: 18
unit: def load_data()
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id: 19
unit: def load_dev_data()
file: datasets.py
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id: 20
unit: def load_embeddings()
file: question_generation_model.py
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id: 21
unit: def build_bert_model()
file: question_generation_model.py
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id: 22
unit: def call()
file: bert_layer.py
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id: 23
unit: def build_glove_model()
file: question_generation_model.py
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McCabe index: 1
number of parameters: 1

id: 24
unit: def convert_examples_to_features()
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id: 25
unit: def cluster_texts()
file: cluster.py
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id: 26
unit: def __init__()
file: question_generation_model.py
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id: 27
unit: def extract_features_from_image()
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McCabe index: 6
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id: 28
unit: def get_logger()
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id: 29
unit: def load_model()
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id: 30
unit: def preprocess_text()
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number of parameters: 2

id: 31
unit: def ELMoEmbedding()
file: elmo_layer.py
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McCabe index: 2
number of parameters: 1

id: 32
unit: def get_processed_image_features()
file: datasets.py
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McCabe index: 1
number of parameters: 2

id: 33
unit: def parse_arguments()
file: run.py
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McCabe index: 1
number of parameters: 0

id: 34
unit: def create_tokenizer_from_hub_module()
file: bert_layer.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 35
unit: def convert_text_to_examples()
file: bert_layer.py
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McCabe index: 2
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id: 36
unit: def __init__()
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McCabe index: 1
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id: 37
unit: def process_text()
file: cluster.py
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McCabe index: 3
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id: 38
unit: def load_config()
file: commons_pkg/commons_utils.py
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id: 39
unit: def __init__()
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McCabe index: 1
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id: 40
unit: def cleanText()
file: question_generation_model.py
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McCabe index: 1
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id: 41
unit: def initialize_vars()
file: bert_layer.py
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McCabe index: 1
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id: 42
unit: def save_obj()
file: run.py
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McCabe index: 1
number of parameters: 2

id: 43
unit: def load_obj()
file: run.py
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McCabe index: 1
number of parameters: 1

id: 44
unit: def compute_output_shape()
file: bert_layer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2