code: def get_single_col_by_input_type(input_type, column_definition):
      """Returns name of single column.
  
      Args:
        input_type: Input type of column to extract
        column_definition: Column definition list for experiment
      """
  
      l = [tup[0] for tup in column_definition if tup[2] == input_type]
  
      if len(l) != 1:
          raise ValueError(
              "Invalid number of columns for {}".format(input_type)
          )
  
      return l[0]
  
file_path: qlib/examples/benchmarks/TFT/libs/utils.py
imports: import os
  import pathlib
  import numpy
  import tensorflow
  from tensorflow.python.tools.inspect_checkpoint import print_tensors_in_checkpoint_file
label_desc: Use image node_id 1 for calling a global function with example usage: get_single_col_by_input_type(input_type, column_definition) and returns: l