code: def validate_warmstart(
      parameter_names: List[str],
      points_to_evaluate: List[Union[List, Dict]],
      evaluated_rewards: List,
      validate_point_name_lengths: bool = True,
  ):
      """Generic validation of a Searcher's warm start functionality.
      Raises exceptions in case of type and length mismatches between
      parameters.
  
      If ``validate_point_name_lengths`` is False, the equality of lengths
      between ``points_to_evaluate`` and ``parameter_names`` will not be
      validated.
      """
      if points_to_evaluate:
          if not isinstance(points_to_evaluate, list):
              raise TypeError(
                  "points_to_evaluate expected to be a list, got {}.".format(
                      type(points_to_evaluate)
                  )
              )
          for point in points_to_evaluate:
              if not isinstance(point, (dict, list)):
                  raise TypeError(
                      f"points_to_evaluate expected to include list or dict, "
                      f"got {point}."
                  )
  
              if validate_point_name_lengths and (
                  not len(point) == len(parameter_names)
              ):
                  raise ValueError(
                      "Dim of point {}".format(point)
                      + " and parameter_names {}".format(
                          parameter_names
                      )
                      + " do not match."
                  )
  
      if points_to_evaluate and evaluated_rewards:
          if not isinstance(evaluated_rewards, list):
              raise TypeError(
                  "evaluated_rewards expected to be a list, got {}.".format(
                      type(evaluated_rewards)
                  )
              )
          if not len(evaluated_rewards) == len(points_to_evaluate):
              raise ValueError(
                  "Dim of evaluated_rewards {}".format(
                      evaluated_rewards
                  )
                  + " and points_to_evaluate {}".format(
                      points_to_evaluate
                  )
                  + " do not match."
              )
  
imports: import copy
  import glob
  import inspect
  import logging
  import os
  import threading
  import time
  from collections import defaultdict
  from datetime import datetime
  from numbers import Number
  from threading import Thread
  from typing import Any, Callable, Dict, List, Optional, Sequence, Type, Union
  import numpy
  import psutil
  import ray
  from ray.util.annotations import DeveloperAPI, PublicAPI
  from ray.air._internal.json import SafeFallbackEncoder
  from ray.air._internal.util import is_nan, is_nan_or_inf
  from ray._private.dict import merge_dicts, deep_update, flatten_dict, unflatten_dict, unflatten_list_dict, unflattened_lookup
label_desc: Use image node_id 14 for calling a global function with example usage: validate_warmstart(parameter_names, points_to_evaluate, evaluated_rewards, validate_point_name_lengths) without return types