code: def test_suggestion_not_enough_finite_points(
      losses, skip_begin, skip_end, expected_error, caplog
  ):
      """Tests the error handling when not enough finite points are available to make a suggestion."""
      caplog.clear()
      lr_finder = _LRFinder(
          mode="exponential",
          lr_min=1e-8,
          lr_max=1,
          num_training=100,
      )
      lrs = list(torch.arange(len(losses)))
      lr_finder.results = {
          "lr": lrs,
          "loss": losses,
      }
      with caplog.at_level(
          logging.ERROR, logger="root.tuner.lr_finder"
      ):
          lr = lr_finder.suggestion(
              skip_begin=skip_begin, skip_end=skip_end
          )
  
          if expected_error:
              assert lr is None
              assert (
                  "Failed to compute suggestion for learning rate"
                  in caplog.text
              )
          else:
              assert lr is not None
  
imports: import logging
  import math
  import os
  from copy import deepcopy
  from typing import Any
  from unittest import mock
  import pytest
  import torch
  from lightning.pytorch import Trainer, seed_everything
  from lightning.pytorch.callbacks.lr_finder import LearningRateFinder
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.tuner.lr_finder import _LRFinder
  from lightning.pytorch.tuner.tuning import Tuner
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.types import STEP_OUTPUT
  from lightning_utilities.test.warning import no_warning_call
  from tests_pytorch.helpers.datamodules import ClassifDataModule
  from tests_pytorch.helpers.runif import RunIf
  from tests_pytorch.helpers.simple_models import ClassificationModel
  from tests_pytorch.helpers.utils import getattr_recursive
label_desc: Use image node_id 15 for calling a global function with example usage: test_suggestion_not_enough_finite_points(losses, skip_begin, skip_end, expected_error, caplog) without return types