code: def test_timer_duration_min_steps_override(
      tmpdir, min_steps, min_epochs
  ):
      model = BoringModel()
      duration = timedelta(0)
      timer = Timer(duration=duration)
      trainer = Trainer(
          default_root_dir=tmpdir,
          callbacks=[timer],
          min_steps=min_steps,
          min_epochs=min_epochs,
      )
      trainer.fit(model)
      if min_epochs:
          assert trainer.current_epoch >= min_epochs
      if min_steps:
          assert trainer.global_step >= min_steps - 1
      assert timer.time_elapsed() > duration.total_seconds()
  
imports: import logging
  import time
  from datetime import timedelta
  from unittest.mock import Mock, patch
  import pytest
  from lightning.pytorch import Trainer
  from lightning.pytorch.callbacks import ModelCheckpoint
  from lightning.pytorch.callbacks.timer import Timer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 7 for calling a global function with example usage: test_timer_duration_min_steps_override(tmpdir, min_steps, min_epochs) without return types