

'''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 :	List[str]      						=			[
    '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 lowerCamelCase (  unittest.TestCase						):



			'''simple docstring'''






			def lowercase__						(      self       :						Dict		,			lowerCAmelCase_       :						Dict		,			lowerCAmelCase_       :						Union[str, Any]		,			lowerCAmelCase_       :						int = None		,			lowerCAmelCase_       :						Union[str, Any] = None )			->		str:





									'''simple docstring'''
									A__     :   Tuple      =None
									A__     :   str      =os.path.abspath(os.path.join("""examples"""		,			"""by_feature""" ) )
									A__     :   str      =os.path.abspath("""examples""" )
									for item in os.listdir(UpperCamelCase__ ):
															if item not in EXCLUDE_EXAMPLES:
																					A__     :   List[str]      =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()"""		,			):
																																	A__     :   Any      =compare_against_test(
																																	    os.path.join(UpperCamelCase__		,			UpperCamelCase__ )		,			UpperCamelCase__		,			UpperCamelCase__		,			UpperCamelCase__ )
																																	A__     :   Dict      ="\n".join(UpperCamelCase__ )
																																	if special_strings is not None:
																																							for string in special_strings:
																																													A__     :   Tuple      =diff.replace(UpperCamelCase__		,			"""""" )
																																	self.assertEqual(UpperCamelCase__		,			"""""" )


			def lowercase__						(      self       :						Dict )			->		List[Any]:





									'''simple docstring'''
									self.one_complete_example("""complete_nlp_example.py"""		,			UpperCamelCase__ )
									self.one_complete_example("""complete_nlp_example.py"""		,			UpperCamelCase__ )



			def lowercase__						(      self       :						Tuple )			->		Union[str, Any]:





									'''simple docstring'''
									A__     :   Optional[Any]      =os.path.abspath(os.path.join("""examples"""		,			"""cv_example.py""" ) )
									A__     :   Tuple      =[
									    " " * 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 lowerCamelCase (  lowerCAmelCase__						):



			'''simple docstring'''






			__snake_case    	=       False


			@classmethod
			def lowercase__						(      cls       :						int )			->		str:





									'''simple docstring'''
									super().setUpClass()
									A__     :   str      =tempfile.mkdtemp()
									A__     :   Tuple      =os.path.join(cls._tmpdir		,			"""default_config.yml""" )

									write_basic_config(save_location=cls.configPath )
									A__     :   Optional[Any]      =["accelerate", "launch", "--config_file", cls.configPath]


			@classmethod
			def lowercase__						(      cls       :						List[Any] )			->		List[Any]:





									'''simple docstring'''
									super().tearDownClass()
									shutil.rmtree(cls._tmpdir )


			def lowercase__						(      self       :						Optional[int] )			->		Union[str, Any]:





									'''simple docstring'''
									A__     :   Union[str, Any]      =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 lowercase__						(      self       :						Union[str, Any] )			->		List[Any]:





									'''simple docstring'''
									A__     :   Optional[int]      =f"\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        ".split()
									A__     :   Optional[Any]      =run_command(self._launch_args + testargs )
									self.assertTrue(os.path.exists(os.path.join(self.tmpdir		,			"""step_2""" ) ) )


			def lowercase__						(      self       :						Union[str, Any] )			->		Any:





									'''simple docstring'''
									A__     :   Optional[int]      =f"\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir		,			'epoch_0' )}\n        ".split()
									A__     :   List[Any]      =run_command(self._launch_args + testargs		,			return_stdout=UpperCamelCase__ )
									self.assertNotIn("""epoch 0:"""		,			UpperCamelCase__ )
									self.assertIn("""epoch 1:"""		,			UpperCamelCase__ )


			def lowercase__						(      self       :						Dict )			->		str:





									'''simple docstring'''
									A__     :   int      =f"\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir		,			'step_2' )}\n        ".split()
									A__     :   Optional[int]      =run_command(self._launch_args + testargs		,			return_stdout=UpperCamelCase__ )
									if torch.cuda.is_available():
															A__     :   Optional[Any]      =torch.cuda.device_count()
									else:
															A__     :   str      =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 lowercase__						(      self       :						Any )			->		Tuple:





									'''simple docstring'''
									A__     :   Union[str, Any]      ="\n        examples/by_feature/cross_validation.py\n        --num_folds 2\n        ".split()
									with mock.patch.dict(os.environ		,			{"""TESTING_MOCKED_DATALOADERS""": """0"""} ):
															A__     :   Tuple      =run_command(self._launch_args + testargs		,			return_stdout=UpperCamelCase__ )
															A__     :   Optional[int]      =re.findall("""({.+})"""		,			UpperCamelCase__ )
															A__     :   Any      =[r for r in results if "accuracy" in r][-1]
															A__     :   List[str]      =ast.literal_eval(UpperCamelCase__ )
															self.assertGreaterEqual(results["""accuracy"""]		,			0.75 )


			def lowercase__						(      self       :						List[str] )			->		str:





									'''simple docstring'''
									A__     :   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 lowercase__						(      self       :						List[str] )			->		Optional[int]:





									'''simple docstring'''
									with tempfile.TemporaryDirectory() as tmpdir:
															A__     :   Optional[int]      =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(UpperCamelCase__		,			"""tracking""" ) ) )


			def lowercase__						(      self       :						int )			->		Optional[int]:





									'''simple docstring'''
									A__     :   Union[str, Any]      =["examples/by_feature/gradient_accumulation.py"]
									run_command(self._launch_args + testargs )



			def lowercase__						(      self       :						Optional[int] )			->		Any:





									'''simple docstring'''
									A__     :   Tuple      =["examples/by_feature/local_sgd.py"]
									run_command(self._launch_args + testargs )







import random

def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> tuple:
       lowerCamelCase ,      lowerCamelCase ,      lowerCamelCase   :      Any			 =					[], [], []
       for element in data:
              if element < pivot:
                     less.append(_SCREAMING_SNAKE_CASE    )
              elif element > pivot:
                     greater.append(_SCREAMING_SNAKE_CASE    )
              else:
                     equal.append(_SCREAMING_SNAKE_CASE    )
       return less, equal, greater


def      A      (      _SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )	-> str:
       # index = len(items) // 2 when trying to find the median
       #   (value of index when items is sorted)

       # invalid input
       if index >= len(_SCREAMING_SNAKE_CASE    ) or index < 0:
              return None

       lowerCamelCase   :      List[Any]			 =					items[random.randint(0 ,len(_SCREAMING_SNAKE_CASE    ) - 1    )]
       lowerCamelCase   :      Dict			 =					0
       lowerCamelCase ,      lowerCamelCase ,      lowerCamelCase   :      Tuple			 =					_partition(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )
       lowerCamelCase   :      Union[str, Any]			 =					len(_SCREAMING_SNAKE_CASE    )
       lowerCamelCase   :      str			 =					len(_SCREAMING_SNAKE_CASE    )

       # index is the pivot
       if m <= index < m + count:
              return pivot
       # must be in smaller
       elif m > index:
              return quick_select(_SCREAMING_SNAKE_CASE ,_SCREAMING_SNAKE_CASE    )
       # must be in larger
       else:
              return quick_select(_SCREAMING_SNAKE_CASE ,index - (m + count)    )






