code: def test_processing_timer_basic_profiler():
      true_processing_time = 0.1
      true_max_epochs = 2
      true_num_iters = 2
  
      def train_updater(engine, batch):
          time.sleep(true_processing_time)
  
      profiler = BasicTimeProfiler()
      dummy_trainer = Engine(train_updater)
      profiler.attach(dummy_trainer)
      dummy_trainer.run(
          range(true_num_iters), max_epochs=true_max_epochs
      )
      results = profiler.get_results()
      processing_results = results["processing_stats"]
  
      assert processing_results["min/index"][0] == approx(
          true_processing_time, abs=1e-1
      )
      assert processing_results["max/index"][0] == approx(
          true_processing_time, abs=1e-1
      )
      assert processing_results["mean"] == approx(
          true_processing_time, abs=1e-1
      )
      assert processing_results["std"] == approx(0.0, abs=1e-1)
      assert processing_results["total"] == approx(
          true_max_epochs * true_num_iters * true_processing_time,
          abs=1e-1,
      )
  
imports: import sys
  import time
  from unittest.mock import patch
  import pytest
  from pytest import approx
  from ignite.engine import Engine, EventEnum, Events
  from ignite.handlers.time_profilers import BasicTimeProfiler, HandlersTimeProfiler
label_desc: Use image node_id 7 for calling a global function with example usage: test_processing_timer_basic_profiler() without return types