docstr: Test the context manager in the timer class
docstr_tok: ["Test","the","context","manager","in","the","timer","class"]
code: def test_timer_context_manager(self, _) -> None:
      """Test the context manager in the timer class"""
  
      # Generate 3 intervals between 0.5 and 2 seconds
      intervals = [(random() * 1.5) + 0.5 for _ in range(4)]
  
      # Basic test of context manager
      timer = Timer()
      with timer.time("action_1"):
          time.sleep(intervals[0])
  
      with timer.time("action_2"):
          time.sleep(intervals[1])
  
      # Make sure nested context managers work properly
      with timer.time("action_3"):
          with timer.time("action_4"):
              time.sleep(intervals[2])
  
      for action in ("action_1", "action_2", "action_3", "action_4"):
          self.assertIn(action, timer.recorded_durations.keys())
  
      self.assertLess(
          timer.recorded_durations["action_4"][0],
          timer.recorded_durations["action_3"][0],
      )
      for i in range(3):
          self.assert_within_tolerance(
              timer.recorded_durations[f"action_{i+1}"][0], intervals[i]
          )
      self.assert_within_tolerance(
          timer.recorded_durations["action_4"][0], intervals[2]
      )
  
imports: import os
  import time
  import unittest
  from datetime import timedelta
  from random import random
  from unittest import mock
  from unittest.mock import Mock, patch
  import torch
  import torch.distributed
  from pyre_extensions import none_throws
  from torchtnt.utils.test_utils import skip_if_not_distributed, skip_if_not_gpu, spawn_multi_process
  from torchtnt.utils.timer import BoundedTimer, FullSyncPeriodicTimer, get_durations_histogram, get_recorded_durations_table, get_synced_durations_histogram, get_timer_summary, log_elapsed_time, logger, Timer
label_desc: Use image node_id 4 for calling the TimerTest obj's underlying member method code with example usage: obj.test_timer_context_manager(_) without return types