code: def get_load_param_if_needed_function(
      t: Any,
  ) -> Optional[Callable[[T, Type[Any]], BaseModel]]:
      """Get a function to load a parameter if it is a Pydantic model
  
      Args:
          t: The type annotation of the parameter
  
      Returns:
          A function to load the parameter if it is a Pydantic model, otherwise None
  
      """
      if get_origin(t) is Annotated:
          return get_load_param_if_needed_function(get_args(t)[0])
  
      def load_base_model(
          v: Dict[str, Any], t: Type[BaseModel]
      ) -> BaseModel:
          return t(**v)
  
      return (
          load_base_model
          if isinstance(t, type) and issubclass(t, BaseModel)
          else None
      )
  
imports: import functools
  import inspect
  import json
  from logging import getLogger
  from typing import Any, Callable, Dict, ForwardRef, List, Optional, Set, Tuple, Type, TypeVar, Union
  from pydantic import BaseModel, Field
  from typing_extensions import Annotated, Literal, get_args, get_origin
  from ._pydantic import JsonSchemaValue, evaluate_forwardref, model_dump, model_dump_json, type2schema
label_desc: Use image node_id 11 for calling a global function with example usage: get_load_param_if_needed_function(t) and returns: unknown, get_load_param_if_needed_function, t