SYMBOL INDEX (38 symbols across 3 files)

FILE: attention/get_att.py
  class DataGenerator (line 5) | class DataGenerator(tf.keras.utils.Sequence):
    method __init__ (line 6) | def __init__(self, seqs, vocab_sizes, list_IDs, max_visit, max_code, b...
    method __len__ (line 17) | def __len__(self):
    method __getitem__ (line 21) | def __getitem__(self, index):
    method on_epoch_end (line 28) | def on_epoch_end(self):
    method __data_generation (line 34) | def __data_generation(self, list_IDs_temp):
    method date_padding (line 63) | def date_padding(self, seq):
    method code_padding (line 71) | def code_padding(self, seq):
  function process_code (line 83) | def process_code(seq, vocab2int):
  function process_util (line 102) | def process_util(seq, util2int):
  function process_demo (line 118) | def process_demo(age_seq, sex_seq, vocab2int):
  function get_cat (line 130) | def get_cat(seq,code2cat):

FILE: pretraining/DataGenerator.py
  class DataGenerator (line 5) | class DataGenerator(tf.keras.utils.Sequence):
    method __init__ (line 6) | def __init__(self, seqs, vocab_sizes, list_IDs, max_visit, max_code, b...
    method __len__ (line 17) | def __len__(self):
    method __getitem__ (line 21) | def __getitem__(self, index):
    method on_epoch_end (line 28) | def on_epoch_end(self):
    method __data_generation (line 34) | def __data_generation(self, list_IDs_temp):
    method date_padding (line 67) | def date_padding(self, seq):
    method code_padding (line 75) | def code_padding(self, seq):
    method code_labelling (line 87) | def code_labelling(self, seq):
    method cat_labelling (line 96) | def cat_labelling(self, seq):
  function process_code (line 108) | def process_code(seq, PAD=True):
  function process_util (line 123) | def process_util(seq):
  function process_demo (line 139) | def process_demo(age_seq, sex_seq):
  function get_cat (line 151) | def get_cat(seq, diag2cat, proc2cat, drug2cat):

FILE: pretraining/cpt.py
  function create_code_mask (line 6) | def create_code_mask(code_seq):
  function create_visit_mask (line 10) | def create_visit_mask(seq):
  function scaled_dot_product_attention (line 14) | def scaled_dot_product_attention(Q, K, V, Q_masks, K_masks):
  class multihead_attention (line 33) | class multihead_attention(tf.keras.layers.Layer):
    method __init__ (line 34) | def __init__(self, d_model, num_heads, name="multihead_attention"):
    method call (line 47) | def call(self, queries, keys, values, query_masks, key_masks):
  class ffn (line 71) | class ffn(tf.keras.layers.Layer):
    method __init__ (line 72) | def __init__(self, d_model, ffn_dim, name="ffn"):
    method call (line 80) | def call(self, inputs):
  function cat_recall (line 87) | def cat_recall(y_true, y_pred):
  function cat_loss_fun (line 94) | def cat_loss_fun(y_true, y_pred):
  function model (line 101) | def model(