



"""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)

_lowercase   		=		[
    "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  __SCREAMING_SNAKE_CASE			(   unittest.TestCase     ):


					'''simple docstring'''





					def 	snake_case ( self							:						str,						lowerCamelCase							:						str,						lowerCamelCase							:						bool,						lowerCamelCase							:						str = None,						lowerCamelCase							:						list = None  )->      str:
								lowerCamelCase__	:	Optional[int]				=None
								lowerCamelCase__	:	int				=os.path.abspath(os.path.join('''examples''',						'''by_feature'''  )  )
								lowerCamelCase__	:	Optional[int]				=os.path.abspath('''examples'''  )
								for item in os.listdir(_UpperCAmelCase  ):
											if item not in EXCLUDE_EXAMPLES:
														lowerCamelCase__	:	Optional[int]				=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__	:	List[Any]				=compare_against_test(
																				    os.path.join(_UpperCAmelCase,						_UpperCAmelCase  ),						_UpperCAmelCase,						_UpperCAmelCase,						_UpperCAmelCase  )
																				lowerCamelCase__	:	Any				='''\n'''.join(_UpperCAmelCase  )
																				if special_strings is not None:
																							for string in special_strings:
																										lowerCamelCase__	:	Optional[Any]				=diff.replace(_UpperCAmelCase,						''''''  )
																				self.assertEqual(_UpperCAmelCase,						''''''  )



					def 	snake_case ( self							:						Union[str, Any]  )->      Any:
								self.one_complete_example('''complete_nlp_example.py''',						_UpperCAmelCase  )
								self.one_complete_example('''complete_nlp_example.py''',						_UpperCAmelCase  )




					def 	snake_case ( self							:						Optional[Any]  )->      Dict:
								lowerCamelCase__	:	Any				=os.path.abspath(os.path.join('''examples''',						'''cv_example.py'''  )  )
								lowerCamelCase__	:	Optional[Any]				=[
								    ''' ''' * 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''',						_UpperCAmelCase,						_UpperCAmelCase,						_UpperCAmelCase  )
								self.one_complete_example('''complete_cv_example.py''',						_UpperCAmelCase,						_UpperCAmelCase,						_UpperCAmelCase  )





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


					'''simple docstring'''





					_a         =							False



					@classmethod
					def 	snake_case ( cls							:						Tuple  )->      str:
								super().setUpClass()
								lowerCamelCase__	:	int				=tempfile.mkdtemp()
								lowerCamelCase__	:	List[str]				=os.path.join(cls._tmpdir,						'''default_config.yml'''  )

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



					@classmethod
					def 	snake_case ( cls							:						List[Any]  )->      Union[str, Any]:
								super().tearDownClass()
								shutil.rmtree(cls._tmpdir  )



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



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



					def 	snake_case ( self							:						List[Any]  )->      Optional[Any]:
								lowerCamelCase__	:	str				=F'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir,						"step_2"  )}
        '''.split()
								lowerCamelCase__	:	Union[str, Any]				=run_command(self._launch_args + testargs,						return_stdout=_UpperCAmelCase  )
								if torch.cuda.is_available():
											lowerCamelCase__	:	Optional[int]				=torch.cuda.device_count()
								else:
											lowerCamelCase__	:	Union[str, Any]				=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 	snake_case ( self							:						List[Any]  )->      str:
								lowerCamelCase__	:	Optional[int]				='''\n        examples/by_feature/cross_validation.py\n        --num_folds 2\n        '''.split()
								with mock.patch.dict(os.environ,						{'''TESTING_MOCKED_DATALOADERS''': '''0'''}  ):
											lowerCamelCase__	:	Union[str, Any]				=run_command(self._launch_args + testargs,						return_stdout=_UpperCAmelCase  )
											lowerCamelCase__	:	Tuple				=re.findall('''({.+})''',						_UpperCAmelCase  )
											lowerCamelCase__	:	List[str]				=[r for r in results if '''accuracy''' in r][-1]
											lowerCamelCase__	:	Tuple				=ast.literal_eval(_UpperCAmelCase  )
											self.assertGreaterEqual(results['''accuracy'''],						0.75  )



					def 	snake_case ( self							:						Optional[int]  )->      List[Any]:
								lowerCamelCase__	:	str				=['''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							:						Optional[Any]  )->      str:




								with tempfile.TemporaryDirectory() as tmpdir:
											lowerCamelCase__	:	Dict				=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 	snake_case ( self							:						Optional[Any]  )->      Optional[int]:
								lowerCamelCase__	:	Optional[Any]				=['''examples/by_feature/gradient_accumulation.py''']
								run_command(self._launch_args + testargs  )




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









"""simple docstring"""






_lowercase				:				str   		=		0  # The first color of the flag.
_lowercase				:				Dict   		=		1  # The second color of the flag.
_lowercase				:				Tuple   		=		2  # The third color of the flag.
_lowercase				:				Optional[int]   		=		(red, white, blue)






def   snake_case__     (	__lowerCamelCase       :					list			):
			"""simple docstring"""
			if not sequence:
						return []
			if len(__lowerCamelCase			) == 1:
						return list(__lowerCamelCase			)
			lowerCamelCase__	:	List[Any]				=0
			lowerCamelCase__	:	Dict				=len(__lowerCamelCase			) - 1
			lowerCamelCase__	:	Tuple				=0
			while mid <= high:
						if sequence[mid] == colors[0]:
									lowerCamelCase__			,     lowerCamelCase__	:	Optional[Any]				=sequence[mid], sequence[low]
									low += 1
									mid += 1
						elif sequence[mid] == colors[1]:
									mid += 1
						elif sequence[mid] == colors[2]:
									lowerCamelCase__			,     lowerCamelCase__	:	Union[str, Any]				=sequence[high], sequence[mid]
									high -= 1
						else:
									lowerCamelCase__	:	Dict				=f'''The elements inside the sequence must contains only {colors} values'''
									raise ValueError(__lowerCamelCase			)
			return sequence


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		_lowercase				:				Optional[Any]   		=		input("Enter numbers separated by commas:\n").strip()
		_lowercase				:				int   		=		[int(item.strip()) for item in user_input.split(",")]
		print(f'{dutch_national_flag_sort(unsorted)}')




