code: def format_name_if_specified_as_pattern(name):
      if not hasattr(format_name_if_specified_as_pattern, "counters"):
          format_name_if_specified_as_pattern.counters = defaultdict(
              lambda: 1
          )
  
      formatter = string.Formatter()
      variables = [
          val[1] for val in formatter.parse(name) if val[1] is not None
      ]
  
      if len(variables) == 0:
          return name
  
      if len(variables) >= 2:
          raise ValueError(
              "Provided pattern has more than one field specified. "
              "Pattern: {}".format(name)
          )
  
      layer_id = format_name_if_specified_as_pattern.counters[name]
      formatted_name = name.format(layer_id)
  
      # Increment only after string was successfully formatted
      format_name_if_specified_as_pattern.counters[name] += 1
      return formatted_name
  
imports: import re
  import copy
  import types
  import string
  import inspect
  from functools import partial
  from collections import OrderedDict, defaultdict
  import six
  import numpy
  import tensorflow
  from neupy.exceptions import LayerConnectionError
  from neupy.core.properties import Property, TypedListProperty
  from neupy.utils import as_tuple, tf_utils
  from neupy.layers.graph import BaseGraph, make_one_if_possible
label_desc: Use image node_id 2 for calling a global function with example usage: format_name_if_specified_as_pattern(name) and returns: formatted_name, name