code: def _process_list_value(
      name, parse_fn, var_type, m_dict, values, results_dictionary
  ):
      """Update results_dictionary from a list of values.
  
      Used to update results_dictionary to be returned by parse_values when
      encountering a clause with a list RHS (e.g.  "arr=[1,2,3]".)
  
      Mutates results_dictionary.
  
      Args:
        name: Name of variable in assignment ("arr").
        parse_fn: Function for parsing individual values.
        var_type: Type of named variable.
        m_dict: Dictionary constructed from regex parsing.
          m_dict['val']: RHS value (scalar)
        values: Full expression being parsed
        results_dictionary: The dictionary being updated for return by the parsing
          function.
  
      Raises:
        ValueError: If the name has an index or the values cannot be parsed.
      """
      if m_dict["index"] is not None:
          raise ValueError("Assignment of a list to a list index.")
      elements = filter(None, re.split("[ ,]", m_dict["vals"]))
      # Make sure the name hasn't already been assigned a value
      if name in results_dictionary:
          raise _reuse_fail(name, values)
      try:
          results_dictionary[name] = [parse_fn(e) for e in elements]
      except ValueError:
          _parse_fail(name, var_type, m_dict["vals"], values)
  
imports: import json
  import numbers
  import re
  from deepdiff import DeepDiff
  import six
  from tensorflow.python.framework import ops
  from tensorflow.python.util import compat
  from tensorflow.python.util import deprecation
label_desc: Use image node_id 4 for calling a global function with example usage: _process_list_value(name, parse_fn, var_type, m_dict, values, results_dictionary) without return types