



'''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				:    Optional[int]     						=[
    '''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 						__UpperCAmelCase     (  self				:	Tuple     ,  UpperCamelCase_				:	str     ,  UpperCamelCase_				:	bool     ,  UpperCamelCase_				:	str = None     ,  UpperCamelCase_				:	list = None					)  ->       Optional[int]:



						'''simple docstring'''





						_lowercase					:       int       =		None
						_lowercase					:       int       =		os.path.abspath(os.path.join('examples'     ,  'by_feature'					)					)
						_lowercase					:       Optional[Any]       =		os.path.abspath('examples'					)
						for item in os.listdir(UpperCamelCase_					):
							if item not in EXCLUDE_EXAMPLES:
								_lowercase					:       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()'     ,  ):
										_lowercase					:       Tuple       =		compare_against_test(
										    os.path.join(UpperCamelCase_     ,  UpperCamelCase_					)     ,  UpperCamelCase_     ,  UpperCamelCase_     ,  UpperCamelCase_					)
										_lowercase					:       Optional[int]       =		'\n'.join(UpperCamelCase_					)
										if special_strings is not None:
											for string in special_strings:
												_lowercase					:       Union[str, Any]       =		diff.replace(UpperCamelCase_     ,  ''					)
										self.assertEqual(UpperCamelCase_     ,  ''					)




					def 						__UpperCAmelCase     (  self				:	List[str]					)  ->       Any:



						'''simple docstring'''





						self.one_complete_example('complete_nlp_example.py'     ,  UpperCamelCase_					)
						self.one_complete_example('complete_nlp_example.py'     ,  UpperCamelCase_					)




					def 						__UpperCAmelCase     (  self				:	List[str]					)  ->       int:



						'''simple docstring'''





						_lowercase					:       Optional[Any]       =		os.path.abspath(os.path.join('examples'     ,  'cv_example.py'					)					)
						_lowercase					:       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'     ,  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__      (						A     ):




					'''simple docstring'''



					A_						    =						False




					@classmethod
					def 						__UpperCAmelCase     (  cls				:	Optional[int]					)  ->       Tuple:



						'''simple docstring'''





						super().setUpClass()
						_lowercase					:       Dict       =		tempfile.mkdtemp()
						_lowercase					:       str       =		os.path.join(cls._tmpdir     ,  'default_config.yml'					)

						write_basic_config(save_location=cls.configPath					)
						_lowercase					:       Union[str, Any]       =		['accelerate', 'launch', '--config_file', cls.configPath]




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



						'''simple docstring'''





						super().tearDownClass()
						shutil.rmtree(cls._tmpdir					)




					def 						__UpperCAmelCase     (  self				:	str					)  ->       List[Any]:



						'''simple docstring'''





						_lowercase					:       Optional[int]       =		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				:	str					)  ->       str:



						'''simple docstring'''





						_lowercase					:       int       =		F'''
        examples/by_feature/checkpointing.py
        --checkpointing_steps 1
        --output_dir {self.tmpdir}
        '''.split()
						_lowercase					:       str       =		run_command(self._launch_args + testargs					)
						self.assertTrue(os.path.exists(os.path.join(self.tmpdir     ,  'step_2'					)					)					)




					def 						__UpperCAmelCase     (  self				:	Any					)  ->       List[str]:



						'''simple docstring'''





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




					def 						__UpperCAmelCase     (  self				:	List[str]					)  ->       Tuple:



						'''simple docstring'''





						_lowercase					:       List[str]       =		F'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir     ,  "step_2"					)}
        '''.split()
						_lowercase					:       int       =		run_command(self._launch_args + testargs     ,  return_stdout=UpperCamelCase_					)
						if torch.cuda.is_available():
							_lowercase					:       Tuple       =		torch.cuda.device_count()
						else:
							_lowercase					:       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 						__UpperCAmelCase     (  self				:	List[str]					)  ->       int:



						'''simple docstring'''





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




					def 						__UpperCAmelCase     (  self				:	List[Any]					)  ->       str:



						'''simple docstring'''





						_lowercase					:       List[Any]       =		['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				:	Dict					)  ->       Dict:



						'''simple docstring'''





						with tempfile.TemporaryDirectory() as tmpdir:
							_lowercase					:       Optional[int]       =		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				:	Union[str, Any]					)  ->       Optional[int]:



						'''simple docstring'''





						_lowercase					:       Tuple       =		['examples/by_feature/gradient_accumulation.py']
						run_command(self._launch_args + testargs					)




					def 						__UpperCAmelCase     (  self				:	Any					)  ->       Optional[Any]:



						'''simple docstring'''





						_lowercase					:       Optional[Any]       =		['examples/by_feature/local_sgd.py']
						run_command(self._launch_args + testargs					)





'''simple docstring'''

import argparse
from collections import defaultdict







def 						__UpperCamelCase				(							_lowercase,				_lowercase,				_lowercase,				_lowercase,				_lowercase					) ->			int:
	_lowercase					:       Optional[int]       =		f'''{file}_{class_name}_{test_name}'''
	done_test[_id] += 1

	with open(_lowercase,				'r'					) as f:
		_lowercase					:       Optional[int]       =		f.readlines()

	_lowercase					:       Dict       =		f'''class {class_name}('''
	_lowercase					:       List[Any]       =		f'''{4 * " "}def {test_name}('''
	_lowercase					:       List[str]       =		f'''{8 * " "}{correct_line.split()[0]}'''
	_lowercase					:       List[str]       =		f'''{16 * " "}{correct_line.split()[0]}'''
	_lowercase					:       Dict       =		False
	_lowercase					:       str       =		False
	_lowercase					:       List[Any]       =		False
	_lowercase					:       Union[str, Any]       =		False
	_lowercase					:       Any       =		0
	_lowercase					:       Tuple       =		0

	_lowercase					:       Optional[int]       =		[]
	for line in lines:
		if line.startswith(_lowercase					):
			_lowercase					:       int       =		True
		elif in_class and line.startswith(_lowercase					):
			_lowercase					:       List[Any]       =		True
		elif in_class and in_func and (line.startswith(_lowercase					) or line.startswith(_lowercase					)):
			_lowercase					:       str       =		len(line.split(correct_line.split()[0]					)[0]					)
			count += 1

			if count == done_test[_id]:
				_lowercase					:       List[Any]       =		True

		if in_class and in_func and in_line:
			if ")" not in line:
				continue
			else:
				_lowercase					:       Any       =		True

		if in_class and in_func and in_line and insert_line:
			new_lines.append(f'''{spaces * " "}{correct_line}'''					)
			_lowercase					:       Any       =		False
		else:
			new_lines.append(_lowercase					)

	with open(_lowercase,				'w'					) as f:
		for line in new_lines:
			f.write(_lowercase					)







def 						__UpperCamelCase				(							_lowercase,				_lowercase=None					) ->			Optional[Any]:
	if fail is not None:
		with open(_lowercase,				'r'					) as f:
			_lowercase					:       Any       =		{l.strip() for l in f.readlines()}
	else:
		_lowercase					:       str       =		None

	with open(_lowercase,				'r'					) as f:
		_lowercase					:       str       =		f.readlines()

	_lowercase					:       Union[str, Any]       =		defaultdict(_lowercase					)
	for line in correct_lines:
		_lowercase  ,    _lowercase  ,    _lowercase  ,    _lowercase					:       Union[str, Any]       =		line.split(';'					)
		if test_failures is None or "::".join([file, class_name, test_name]					) in test_failures:
			overwrite_file(_lowercase,				_lowercase,				_lowercase,				_lowercase,				_lowercase					)


if __name__ == "__main__":
		_A				:    str     						=argparse.ArgumentParser()
		parser.add_argument('''--correct_filename''', help='''filename of tests with expected result''')
		parser.add_argument('''--fail_filename''', help='''filename of test failures''', type=str, default=None)
		_A				:    Union[str, Any]     						=parser.parse_args()

		main(args.correct_filename, args.fail_filename)
