SYMBOL INDEX (45 symbols across 8 files)

FILE: demos/nsp_bert_classification_demo.py
  class data_generator (line 16) | class data_generator(DataGenerator):
    method __init__ (line 19) | def __init__(self, pattern="", is_pre=True, *args, **kwargs):
    method __iter__ (line 24) | def __iter__(self, random=False):
  function predict (line 41) | def predict(data_generator_list, data):

FILE: demos/nsp_bert_classification_demo_en.py
  class data_generator (line 15) | class data_generator(DataGenerator):
    method __init__ (line 18) | def __init__(self, pattern="", is_pre=True, *args, **kwargs):
    method __iter__ (line 23) | def __iter__(self, random=False):
  function predict (line 40) | def predict(data_generator_list, data):

FILE: nsp_bert_classification.py
  class data_generator (line 15) | class data_generator(DataGenerator):
    method __init__ (line 17) | def __init__(self, pattern="", is_pre=True, *args, **kwargs):
    method __iter__ (line 21) | def __iter__(self, random=False):
  function evaluate (line 40) | def evaluate(data_generator_list, data, note=""):

FILE: nsp_bert_cloze_style.py
  class data_generator (line 14) | class data_generator(DataGenerator):
    method __init__ (line 17) | def __init__(self, is_pre=True, is_soft_pos=False, *args, **kwargs):
    method __iter__ (line 22) | def __iter__(self, random=False):
  function evaluate (line 75) | def evaluate(data_generator_list, data, note=""):
  function depart_choze (line 102) | def depart_choze(data):

FILE: nsp_bert_coreference_resolution.py
  class data_generator (line 15) | class data_generator(DataGenerator):
    method __init__ (line 18) | def __init__(self, is_pre=True, is_rel_pos=False, pattern='', *args, *...
    method __iter__ (line 24) | def __iter__(self, random=False):
  function evaluate_dev (line 43) | def evaluate_dev(data_generator, data, label_num, note=""):
  function evaluate_test_batch (line 81) | def evaluate_test_batch(data_generator, data, label_num, note):
  function evaluate_test_threshold (line 119) | def evaluate_test_threshold(data_generator, data, label_num, thresholds,...
  function divide_dict_batch (line 154) | def divide_dict_batch(dict_a, batch_size):

FILE: nsp_bert_entity_linking.py
  class data_generator (line 22) | class data_generator(DataGenerator):
    method __init__ (line 24) | def __init__(self, is_pre=True,  is_two_stage=False, *args, **kwargs):
    method __iter__ (line 29) | def __iter__(self, random=False):
  function get_el_data (line 52) | def get_el_data(dev_data_original, dataset, mention2ids, id2data, data_k...
  function evaluate (line 137) | def evaluate(data_generator, data, true_results, note=""):

FILE: nsp_bert_sentence_pair.py
  class data_generator (line 17) | class data_generator(DataGenerator):
    method __init__ (line 20) | def __init__(self, is_pre=True, is_mask=False, *args, **kwargs):
    method __iter__ (line 25) | def __iter__(self, random=False):
  function evaluate_dev (line 46) | def evaluate_dev(data_generator, data, label_num, note=""):
  function evaluate_test_batch (line 92) | def evaluate_test_batch(data_generator, data, label_num, note):
  function evaluate_test_threshold (line 139) | def evaluate_test_threshold(data_generator, data, label_num, thresholds,...
  function divide_dict_average (line 186) | def divide_dict_average(dict_a: dict, M: int):
  function divide_dict_batch (line 217) | def divide_dict_batch(dict_a, batch_size):

FILE: utils.py
  class Datasets (line 10) | class Datasets():
    method __init__ (line 11) | def __init__(self, dataset_name=""):
    method load_data (line 351) | def load_data(self, filename, sample_num=-1, is_train=False, is_shuffl...
    method load_kb (line 691) | def load_kb(self, filename):
  class Model (line 719) | class Model():
    method __init__ (line 721) | def __init__(self, model_name=""):
  function read_labels (line 807) | def read_labels(label_file_path):
  function sample_dataset (line 818) | def sample_dataset(data: list, k_shot: int, label_num=-1):