


'''simple docstring'''




import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock

import torch

from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate.utils import write_basic_config


# DataLoaders built from `test_samples/MRPC` for quick testing
# Should mock `{script_name}.get_dataloaders` via:
# @mock.patch("{script_name}.get_dataloaders", mocked_dataloaders)

__snake_case    						=[
    """cross_validation.py""",
    """gradient_accumulation.py""",
    """local_sgd.py""",
    """multi_process_metrics.py""",
    """memory.py""",
    """automatic_gradient_accumulation.py""",
    """fsdp_with_peak_mem_tracking.py""",
    """deepspeed_with_config_support.py""",
    """megatron_lm_gpt_pretraining.py""",
]

class 		UpperCAmelCase_      (  unittest.TestCase		):





     def 							__UpperCAmelCase      ( self       :      List[Any]    ,      UpperCAmelCase__       :      str    ,      UpperCAmelCase__       :      bool    ,      UpperCAmelCase__       :      str = None    ,      UpperCAmelCase__       :      list = None    )				->  Dict:
        lowerCAmelCase     =			None
        lowerCAmelCase     =			os.path.abspath(os.path.join('examples'    ,      'by_feature'    )    )
        lowerCAmelCase     =			os.path.abspath('examples'    )
        for item in os.listdir(UpperCAmelCase__    ):
           if item not in EXCLUDE_EXAMPLES:
              lowerCAmelCase     =			os.path.join(UpperCAmelCase__    ,      UpperCAmelCase__    )
              if os.path.isfile(UpperCAmelCase__    ) and ".py" in item_path:
                 with self.subTest(
                     tested_script=UpperCAmelCase__    ,      feature_script=UpperCAmelCase__    ,      tested_section='main()' if parser_only else 'training_function()'    ,      ):
                    lowerCAmelCase     =			compare_against_test(
                        os.path.join(UpperCAmelCase__    ,      UpperCAmelCase__    )    ,      UpperCAmelCase__    ,      UpperCAmelCase__    ,      UpperCAmelCase__    )
                    lowerCAmelCase     =			'\n'.join(UpperCAmelCase__    )
                    if special_strings is not None:
                       for string in special_strings:
                          lowerCAmelCase     =			diff.replace(UpperCAmelCase__    ,      ''    )
                    self.assertEqual(UpperCAmelCase__    ,      ''    )





     def 							__UpperCAmelCase      ( self       :      Tuple    )				->  str:
        self.one_complete_example('complete_nlp_example.py'    ,      UpperCAmelCase__    )
        self.one_complete_example('complete_nlp_example.py'    ,      UpperCAmelCase__    )





     def 							__UpperCAmelCase      ( self       :      Union[str, Any]    )				->  int:
        lowerCAmelCase     =			os.path.abspath(os.path.join('examples'    ,      'cv_example.py'    )    )
        lowerCAmelCase     =			[
            ' ' * 1_6 + '{\n\n',
            ' ' * 2_0 + '"accuracy": eval_metric["accuracy"],\n\n',
            ' ' * 2_0 + '"f1": eval_metric["f1"],\n\n',
            ' ' * 2_0 + '"train_loss": total_loss.item() / len(train_dataloader),\n\n',
            ' ' * 2_0 + '"epoch": epoch,\n\n',
            ' ' * 1_6 + '},\n\n',
            ' ' * 1_6 + 'step=epoch,\n',
            ' ' * 1_2,
            ' ' * 8 + 'for step, batch in enumerate(active_dataloader):\n',
        ]
        self.one_complete_example('complete_cv_example.py'    ,      UpperCAmelCase__    ,      UpperCAmelCase__    ,      UpperCAmelCase__    )
        self.one_complete_example('complete_cv_example.py'    ,      UpperCAmelCase__    ,      UpperCAmelCase__    ,      UpperCAmelCase__    )




@mock.patch.dict(os.environ       ,	{'''TESTING_MOCKED_DATALOADERS''': '''1'''}		)
class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	Union[str, Any]		=     False





     @classmethod
     def 							__UpperCAmelCase      ( cls       :      str    )				->  str:
        super().setUpClass()
        lowerCAmelCase     =			tempfile.mkdtemp()
        lowerCAmelCase     =			os.path.join(cls._tmpdir    ,      'default_config.yml'    )

        write_basic_config(save_location=cls.configPath    )
        lowerCAmelCase     =			['accelerate', 'launch', '--config_file', cls.configPath]





     @classmethod
     def 							__UpperCAmelCase      ( cls       :      Tuple    )				->  List[str]:
        super().tearDownClass()
        shutil.rmtree(cls._tmpdir    )





     def 							__UpperCAmelCase      ( self       :      Any    )				->  List[str]:
        lowerCAmelCase     =			F'''
        examples/by_feature/checkpointing.py
        --checkpointing_steps epoch
        --output_dir {self.tmpdir}
        '''.split()
        run_command(self._launch_args + testargs    )
        self.assertTrue(os.path.exists(os.path.join(self.tmpdir    ,      'epoch_0'    )    )    )





     def 							__UpperCAmelCase      ( self       :      Dict    )				->  List[Any]:
        lowerCAmelCase     =			F'''
        examples/by_feature/checkpointing.py
        --checkpointing_steps 1
        --output_dir {self.tmpdir}
        '''.split()
        lowerCAmelCase     =			run_command(self._launch_args + testargs    )
        self.assertTrue(os.path.exists(os.path.join(self.tmpdir    ,      'step_2'    )    )    )





     def 							__UpperCAmelCase      ( self       :      Union[str, Any]    )				->  Union[str, Any]:
        lowerCAmelCase     =			F'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir    ,      'epoch_0'    )}
        '''.split()
        lowerCAmelCase     =			run_command(self._launch_args + testargs    ,      return_stdout=UpperCAmelCase__    )
        self.assertNotIn('epoch 0:'    ,      UpperCAmelCase__    )
        self.assertIn('epoch 1:'    ,      UpperCAmelCase__    )





     def 							__UpperCAmelCase      ( self       :      int    )				->  Any:
        lowerCAmelCase     =			F'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir    ,      'step_2'    )}
        '''.split()
        lowerCAmelCase     =			run_command(self._launch_args + testargs    ,      return_stdout=UpperCAmelCase__    )
        if torch.cuda.is_available():
           lowerCAmelCase     =			torch.cuda.device_count()
        else:
           lowerCAmelCase     =			1
        if num_processes > 1:
           self.assertNotIn('epoch 0:'    ,      UpperCAmelCase__    )
           self.assertIn('epoch 1:'    ,      UpperCAmelCase__    )
        else:
           self.assertIn('epoch 0:'    ,      UpperCAmelCase__    )
           self.assertIn('epoch 1:'    ,      UpperCAmelCase__    )





     @slow
     def 							__UpperCAmelCase      ( self       :      Dict    )				->  Tuple:
        lowerCAmelCase     =			'\n        examples/by_feature/cross_validation.py\n        --num_folds 2\n        '.split()
        with mock.patch.dict(os.environ    ,      {'TESTING_MOCKED_DATALOADERS': '0'}    ):
           lowerCAmelCase     =			run_command(self._launch_args + testargs    ,      return_stdout=UpperCAmelCase__    )
           lowerCAmelCase     =			re.findall('({.+})'    ,      UpperCAmelCase__    )
           lowerCAmelCase     =			[r for r in results if 'accuracy' in r][-1]
           lowerCAmelCase     =			ast.literal_eval(UpperCAmelCase__    )
           self.assertGreaterEqual(results['accuracy']    ,      0.75    )





     def 							__UpperCAmelCase      ( self       :      Optional[Any]    )				->  List[Any]:
        lowerCAmelCase     =			['examples/by_feature/multi_process_metrics.py']
        run_command(self._launch_args + testargs    )





     @require_trackers
     @mock.patch.dict(os.environ    ,      {'WANDB_MODE': 'offline'}    )
     def 							__UpperCAmelCase      ( self       :      Union[str, Any]    )				->  Dict:
        with tempfile.TemporaryDirectory() as tmpdir:
           lowerCAmelCase     =			F'''
            examples/by_feature/tracking.py
            --with_tracking
            --project_dir {tmpdir}
            '''.split()
           run_command(self._launch_args + testargs    )
           self.assertTrue(os.path.exists(os.path.join(UpperCAmelCase__    ,      'tracking'    )    )    )





     def 							__UpperCAmelCase      ( self       :      Any    )				->  Union[str, Any]:
        lowerCAmelCase     =			['examples/by_feature/gradient_accumulation.py']
        run_command(self._launch_args + testargs    )





     def 							__UpperCAmelCase      ( self       :      Union[str, Any]    )				->  Union[str, Any]:
        lowerCAmelCase     =			['examples/by_feature/local_sgd.py']
        run_command(self._launch_args + testargs    )









'''simple docstring'''




from __future__ import annotations

from statistics import mean





def 	a_					( lowerCamelCase	:     list[int]	, lowerCamelCase	:     list[int]	, lowerCamelCase	:     int				):
   lowerCAmelCase     =			[0] * no_of_processes
   lowerCAmelCase     =			[0] * no_of_processes

   # Initialize remaining_time to waiting_time.

   for i in range(lowerCamelCase				):
      lowerCAmelCase     =			burst_time[i]
   lowerCAmelCase     =			[]

   lowerCAmelCase     =			0
   lowerCAmelCase     =			0

   # When processes are not completed,
   # A process whose arrival time has passed \
   # and has remaining execution time is put into the ready_process.
   # The shortest process in the ready_process, target_process is executed.

   while completed != no_of_processes:
      lowerCAmelCase     =			[]
      lowerCAmelCase     =			-1

      for i in range(lowerCamelCase				):
         if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
            ready_process.append(lowerCamelCase				)

      if len(lowerCamelCase				) > 0:
         lowerCAmelCase     =			ready_process[0]
         for i in ready_process:
            if remaining_time[i] < remaining_time[target_process]:
               lowerCAmelCase     =			i
         total_time += burst_time[target_process]
         completed += 1
         lowerCAmelCase     =			0
         lowerCAmelCase     =			(
             total_time - arrival_time[target_process] - burst_time[target_process]
         )
      else:
         total_time += 1

   return waiting_time





def 	a_					( lowerCamelCase	:     list[int]	, lowerCamelCase	:     int	, lowerCamelCase	:     list[int]				):
   lowerCAmelCase     =			[0] * no_of_processes
   for i in range(lowerCamelCase				):
      lowerCAmelCase     =			burst_time[i] + waiting_time[i]
   return turn_around_time


if __name__ == "__main__":
       print("""[TEST CASE 01]""")

       __snake_case    						=4
       __snake_case    						=[2, 5, 3, 7]
       __snake_case    						=[0, 0, 0, 0]
       __snake_case    						=calculate_waitingtime(arrival_time, burst_time, no_of_processes)
       __snake_case    						=calculate_turnaroundtime(
           burst_time, no_of_processes, waiting_time
       )

       # Printing the Result
       print("""PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time""")
       for i, process_id in enumerate(list(range(1, 5))):
              print(
                  F'''{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t'''
                  F'''{waiting_time[i]}\t\t\t\t{turn_around_time[i]}'''
              )
       print(F'''\nAverage waiting time = {mean(waiting_time):.5f}''')
       print(F'''Average turnaround time = {mean(turn_around_time):.5f}''')





