




"""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)

a_				:    Tuple										=     [
    '''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 __lowercase(      unittest.TestCase				):




					'''simple docstring'''


					def     snake_case_				(    self						,	__a						,	__a						,	__a = None						,	__a = None     ):
								__lowerCamelCase					:	List[str]	       =				None
								__lowerCamelCase					:	Any	       =				os.path.abspath(os.path.join('examples'						,	'by_feature'     )     )
								__lowerCamelCase					:	Dict	       =				os.path.abspath('examples'     )
								for item in os.listdir(_lowerCamelCase     ):
											if item not in EXCLUDE_EXAMPLES:
														__lowerCamelCase					:	Optional[int]	       =				os.path.join(_lowerCamelCase						,	_lowerCamelCase     )
														if os.path.isfile(_lowerCamelCase     ) and ".py" in item_path:
																	with self.subTest(
																	    tested_script=_lowerCamelCase						,	feature_script=_lowerCamelCase						,	tested_section='main()' if parser_only else 'training_function()'						,	):
																				__lowerCamelCase					:	int	       =				compare_against_test(
																				    os.path.join(_lowerCamelCase						,	_lowerCamelCase     )						,	_lowerCamelCase						,	_lowerCamelCase						,	_lowerCamelCase     )
																				__lowerCamelCase					:	Optional[int]	       =				'\n'.join(_lowerCamelCase     )
																				if special_strings is not None:
																							for string in special_strings:
																										__lowerCamelCase					:	int	       =				diff.replace(_lowerCamelCase						,	''     )
																				self.assertEqual(_lowerCamelCase						,	''     )
					def     snake_case_				(    self     ):
								self.one_complete_example('complete_nlp_example.py'						,	_lowerCamelCase     )
								self.one_complete_example('complete_nlp_example.py'						,	_lowerCamelCase     )





					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Dict	       =				os.path.abspath(os.path.join('examples'						,	'cv_example.py'     )     )
								__lowerCamelCase					:	List[str]	       =				[
								    ' ' * 16 + '{\n\n',
								    ' ' * 20 + '"accuracy": eval_metric["accuracy"],\n\n',
								    ' ' * 20 + '"f1": eval_metric["f1"],\n\n',
								    ' ' * 20 + '"train_loss": total_loss.item() / len(train_dataloader),\n\n',
								    ' ' * 20 + '"epoch": epoch,\n\n',
								    ' ' * 16 + '},\n\n',
								    ' ' * 16 + 'step=epoch,\n',
								    ' ' * 12,
								    ' ' * 8 + 'for step, batch in enumerate(active_dataloader):\n',
								]
								self.one_complete_example('complete_cv_example.py'						,	_lowerCamelCase						,	_lowerCamelCase						,	_lowerCamelCase     )
								self.one_complete_example('complete_cv_example.py'						,	_lowerCamelCase						,	_lowerCamelCase						,	_lowerCamelCase     )



@mock.patch.dict(os.environ	,	{'TESTING_MOCKED_DATALOADERS': '1'}				)
class __lowercase(      lowerCAmelCase__				):




					'''simple docstring'''


					__a						:						str     		= False
					@classmethod
					def     snake_case_				(    cls     ):
								super().setUpClass()
								__lowerCamelCase					:	List[str]	       =				tempfile.mkdtemp()
								__lowerCamelCase					:	Any	       =				os.path.join(cls._tmpdir						,	'default_config.yml'     )

								write_basic_config(save_location=cls.configPath     )
								__lowerCamelCase					:	List[Any]	       =				['accelerate', 'launch', '--config_file', cls.configPath]
					@classmethod
					def     snake_case_				(    cls     ):
								super().tearDownClass()
								shutil.rmtree(cls._tmpdir     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[int]	       =				f'''\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps epoch\n        --output_dir {self.tmpdir}\n        '''.split()
								run_command(self._launch_args + testargs     )
								self.assertTrue(os.path.exists(os.path.join(self.tmpdir						,	'epoch_0'     )     )     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[str]	       =				f'''\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        '''.split()
								__lowerCamelCase					:	Optional[int]	       =				run_command(self._launch_args + testargs     )
								self.assertTrue(os.path.exists(os.path.join(self.tmpdir						,	'step_2'     )     )     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	str	       =				f'''\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir						,	"epoch_0"     )}\n        '''.split()
								__lowerCamelCase					:	List[str]	       =				run_command(self._launch_args + testargs						,	return_stdout=_lowerCamelCase     )
								self.assertNotIn('epoch 0:'						,	_lowerCamelCase     )
								self.assertIn('epoch 1:'						,	_lowerCamelCase     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[Any]	       =				f'''\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir						,	"step_2"     )}\n        '''.split()
								__lowerCamelCase					:	List[str]	       =				run_command(self._launch_args + testargs						,	return_stdout=_lowerCamelCase     )
								if torch.cuda.is_available():
											__lowerCamelCase					:	Optional[Any]	       =				torch.cuda.device_count()
								else:
											__lowerCamelCase					:	List[str]	       =				1
								if num_processes > 1:
											self.assertNotIn('epoch 0:'						,	_lowerCamelCase     )
											self.assertIn('epoch 1:'						,	_lowerCamelCase     )
								else:
											self.assertIn('epoch 0:'						,	_lowerCamelCase     )
											self.assertIn('epoch 1:'						,	_lowerCamelCase     )
					@slow
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				'\n        examples/by_feature/cross_validation.py\n        --num_folds 2\n        '.split()
								with mock.patch.dict(os.environ						,	{'TESTING_MOCKED_DATALOADERS': '0'}     ):
											__lowerCamelCase					:	str	       =				run_command(self._launch_args + testargs						,	return_stdout=_lowerCamelCase     )
											__lowerCamelCase					:	Tuple	       =				re.findall('({.+})'						,	_lowerCamelCase     )
											__lowerCamelCase					:	List[str]	       =				[r for r in results if 'accuracy' in r][-1]
											__lowerCamelCase					:	List[str]	       =				ast.literal_eval(_lowerCamelCase     )
											self.assertGreaterEqual(results['accuracy']						,	0.75     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				['examples/by_feature/multi_process_metrics.py']
								run_command(self._launch_args + testargs     )
					@require_trackers
					@mock.patch.dict(os.environ						,	{'WANDB_MODE': 'offline'}     )
					def     snake_case_				(    self     ):





								with tempfile.TemporaryDirectory() as tmpdir:
											__lowerCamelCase					:	Dict	       =				f'''\n            examples/by_feature/tracking.py\n            --with_tracking\n            --project_dir {tmpdir}\n            '''.split()
											run_command(self._launch_args + testargs     )
											self.assertTrue(os.path.exists(os.path.join(_lowerCamelCase						,	'tracking'     )     )     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Dict	       =				['examples/by_feature/gradient_accumulation.py']
								run_command(self._launch_args + testargs     )





					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				['examples/by_feature/local_sgd.py']
								run_command(self._launch_args + testargs     )









"""simple docstring"""
def 						UpperCAmelCase				(			A__:    Dict     )  ->     Optional[int]:
			stooge(A__							,				0							,				len(A__     ) - 1     )
			return arr





def 						UpperCAmelCase				(			A__:    Dict							,				A__:    List[str]							,				A__:    Optional[int]     )  ->     Any:
			if i >= h:
						return

			# If first element is smaller than the last then swap them
			if arr[i] > arr[h]:
						__lowerCamelCase       ,      __lowerCamelCase					:	Dict	       =				arr[h], arr[i]

			# If there are more than 2 elements in the array
			if h - i + 1 > 2:
						__lowerCamelCase					:	str	       =				(int)((h - i + 1) / 3     )

						# Recursively sort first 2/3 elements
						stooge(A__							,				A__							,				(h - t)     )

						# Recursively sort last 2/3 elements
						stooge(A__							,				i + t							,				(A__)     )

						# Recursively sort first 2/3 elements
						stooge(A__							,				A__							,				(h - t)     )


if __name__ == "__main__":
					a_				:    Tuple										=     input('''Enter numbers separated by a comma:\n''').strip()
					a_				:    Optional[Any]										=     [int(item) for item in user_input.split(''',''')]
					print(stooge_sort(unsorted))



