class_docstr: Represents a parameter to a function.
class_docstr_tok: ["Represents","a","parameter","to","a","function","."]
docstr: Returns a common supertype (if exists).
code: def most_specific_common_supertype(
      self, others: Sequence["Parameter"]
  ) -> Optional["Parameter"]:
      """Returns a common supertype (if exists)."""
      if not self.type_constraint or any(
          not other.type_constraint for other in others
      ):
          raise TypeError(
              "Can not determine relationship between partially specified types."
          )
  
      for other in others:
          if (self.name, self.kind, self.optional) != (
              other.name,
              other.kind,
              other.optional,
          ):
              return None
  
      supertyped_constraint = (
          self.type_constraint.most_specific_common_supertype(
              [other.type_constraint for other in others]
          )
      )
      if supertyped_constraint:
          return Parameter(
              self.name, self.kind, self.optional, supertyped_constraint
          )
      else:
          return None
  
imports: import collections
  import inspect
  from typing import Any, Callable, Dict, List, Mapping, Optional, Sequence, Tuple
  from absl import logging
  from tensorflow.core.function import trace_type
  from tensorflow.core.function.polymorphism import function_type_pb2
  from tensorflow.core.function.trace_type import serialization
  from tensorflow.python.types import core
  from tensorflow.python.types import trace
label_desc: Use image node_id 7 for calling the Parameter obj's underlying member method code with example usage: obj.most_specific_common_supertype(others) and returns: Parameter, None, None