parameters: (self, text_index, text_prob=None, is_remove_duplicate=False)
return_statement: return result_list
docstring: convert text-index into text-label.
docstring_summary: convert text-index into text-label.
docstring_tokens: convert text - index into text - label .
function: def decode(self, text_index, text_prob=None, is_remove_duplicate=False):
          """ convert text-index into text-label. """
          result_list = []
          ignored_tokens = self.get_ignored_tokens()
          batch_size = len(text_index)
  
          for batch_idx in range(batch_size):
              char_list = []
              conf_list = []
              for idx in range(len(text_index[batch_idx])):
                  if text_index[batch_idx][idx] in ignored_tokens:
                      continue
                  if is_remove_duplicate:
                      # only for predict
                      if idx > 0 and text_index[batch_idx][idx - 1] == text_index[
                              batch_idx][idx]:
                          continue
                  char_list.append(self.character[int(text_index[batch_idx][
                      idx])])
                  if text_prob is not None:
                      conf_list.append(text_prob[batch_idx][idx])
                  else:
                      conf_list.append(1)
  
              text = ''.join(char_list)
              result_list.append((text, np.mean(conf_list)))
          return result_list
function_tokens: def decode ( self , text_index , text_prob = None , is_remove_duplicate = False ) : result_list = [ ] ignored_tokens = self . get_ignored_tokens ( ) batch_size = len ( text_index ) for batch_idx in range ( batch_size ) : char_list = [ ] conf_list = [ ] for idx in range ( len ( text_index [ batch_idx ] ) ) : if text_index [ batch_idx ] [ idx ] in ignored_tokens : continue if is_remove_duplicate : # only for predict if idx > 0 and text_index [ batch_idx ] [ idx - 1 ] == text_index [ batch_idx ] [ idx ] : continue char_list . append ( self . character [ int ( text_index [ batch_idx ] [ idx ] ) ] ) if text_prob is not None : conf_list . append ( text_prob [ batch_idx ] [ idx ] ) else : conf_list . append ( 1 ) text = '' . join ( char_list ) result_list . append ( ( text , np . mean ( conf_list ) ) ) return result_list