code: def _merge_leaf_components(
      input: Mapping[Path, LeafComponent]
  ) -> Mapping[Path, LeafComponent]:
      ref_fn: Callable[[LeafComponent], HashableTensor] = lambda x: (
          x if isinstance(x, Parameter) else x.ref()
      )
      deref_fn: Callable[[HashableTensor], LeafComponent] = lambda x: (
          x if isinstance(x, Parameter) else x.deref()
      )
  
      input_values = {ref_fn(value) for value in input.values()}
      if len(input_values) == len(input):
          return input
  
      tmp_dict: Dict[HashableTensor, Path] = {}
      for key, value in input.items():
          ref = ref_fn(value)
          if ref in tmp_dict:
              tmp_dict[ref] = f"{tmp_dict[ref]}\n{key}"
          else:
              tmp_dict[ref] = key
      return {key: deref_fn(ref) for ref, key in tmp_dict.items()}
  
imports: import copy
  import re
  from functools import lru_cache
  from typing import Any, Callable, Dict, Mapping, Optional, Pattern, Tuple, Type, TypeVar, Union
  import numpy
  import tensorflow
  import tensorflow_probability
  from packaging.version import Version
  from tabulate import tabulate
  from tensorflow.python.util.object_identity import Reference
  from ..base import AnyNDArray, Parameter
  from ..config import default_summary_fmt
label_desc: Use image node_id 7 for calling a global function with example usage: _merge_leaf_components(input) and returns: unknown, input