




"""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							      =     [
    """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      lowerCAmelCase_				(					self			:			Dict       ,				_UpperCAmelCase			:			int       ,				_UpperCAmelCase			:			Dict       ,				_UpperCAmelCase			:			Optional[int] = None       ,				_UpperCAmelCase			:			str = None						):
       _A     =  None
       _A     =  os.path.abspath(os.path.join('examples'       ,				'by_feature'						)						)
       _A     =  os.path.abspath('examples'						)
       for item in os.listdir(SCREAMING_SNAKE_CASE__						):
             if item not in EXCLUDE_EXAMPLES:
                   _A     =  os.path.join(SCREAMING_SNAKE_CASE__       ,				SCREAMING_SNAKE_CASE__						)
                   if os.path.isfile(SCREAMING_SNAKE_CASE__						) and ".py" in item_path:
                         with self.subTest(
                             tested_script=SCREAMING_SNAKE_CASE__       ,				feature_script=SCREAMING_SNAKE_CASE__       ,				tested_section='main()' if parser_only else 'training_function()'       ,				):
                               _A     =  compare_against_test(
                                   os.path.join(SCREAMING_SNAKE_CASE__       ,				SCREAMING_SNAKE_CASE__						)       ,				SCREAMING_SNAKE_CASE__       ,				SCREAMING_SNAKE_CASE__       ,				SCREAMING_SNAKE_CASE__						)
                               _A     =  '''\n'''.join(SCREAMING_SNAKE_CASE__						)
                               if special_strings is not None:
                                     for string in special_strings:
                                           _A     =  diff.replace(SCREAMING_SNAKE_CASE__       ,				''						)
                               self.assertEqual(SCREAMING_SNAKE_CASE__       ,				''						)

 def      lowerCAmelCase_				(					self			:			List[str]						):
       self.one_complete_example('complete_nlp_example.py'       ,				SCREAMING_SNAKE_CASE__						)
       self.one_complete_example('complete_nlp_example.py'       ,				SCREAMING_SNAKE_CASE__						)



 def      lowerCAmelCase_				(					self			:			Optional[int]						):
       _A     =  os.path.abspath(os.path.join('examples'       ,				'cv_example.py'						)						)
       _A     =  [
           ''' ''' * 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'       ,				SCREAMING_SNAKE_CASE__       ,				SCREAMING_SNAKE_CASE__       ,				SCREAMING_SNAKE_CASE__						)
       self.one_complete_example('complete_cv_example.py'       ,				SCREAMING_SNAKE_CASE__       ,				SCREAMING_SNAKE_CASE__       ,				SCREAMING_SNAKE_CASE__						)





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



 '''simple docstring'''
 UpperCAmelCase       :	Optional[int]     =      False

 @classmethod
 def      lowerCAmelCase_				(					cls			:			Optional[int]						):
       super().setUpClass()
       _A     =  tempfile.mkdtemp()
       _A     =  os.path.join(cls._tmpdir       ,				'default_config.yml'						)

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

 @classmethod
 def      lowerCAmelCase_				(					cls			:			List[Any]						):
       super().tearDownClass()
       shutil.rmtree(cls._tmpdir						)

 def      lowerCAmelCase_				(					self			:			Any						):
       _A     =  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      lowerCAmelCase_				(					self			:			Tuple						):
       _A     =  F'''\n        examples/by_feature/checkpointing.py\n        --checkpointing_steps 1\n        --output_dir {self.tmpdir}\n        '''.split()
       _A     =  run_command(self._launch_args + testargs						)
       self.assertTrue(os.path.exists(os.path.join(self.tmpdir       ,				'step_2'						)						)						)

 def      lowerCAmelCase_				(					self			:			Dict						):
       _A     =  F'''\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir       ,				"epoch_0"						)}\n        '''.split()
       _A     =  run_command(self._launch_args + testargs       ,				return_stdout=SCREAMING_SNAKE_CASE__						)
       self.assertNotIn('epoch 0:'       ,				SCREAMING_SNAKE_CASE__						)
       self.assertIn('epoch 1:'       ,				SCREAMING_SNAKE_CASE__						)

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

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

 def      lowerCAmelCase_				(					self			:			Union[str, Any]						):
       _A     =  ['''examples/by_feature/multi_process_metrics.py''']
       run_command(self._launch_args + testargs						)

 @require_trackers
 @mock.patch.dict(os.environ       ,				{'WANDB_MODE': 'offline'}						)
 def      lowerCAmelCase_				(					self			:			List[str]						):



       with tempfile.TemporaryDirectory() as tmpdir:
             _A     =  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(SCREAMING_SNAKE_CASE__       ,				'tracking'						)						)						)

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



 def      lowerCAmelCase_				(					self			:			Dict						):
       _A     =  ['''examples/by_feature/local_sgd.py''']
       run_command(self._launch_args + testargs						)





"""simple docstring"""






def 				A_       ( snake_case__       ,					snake_case__ = " "		)					->  list:
			_UpperCamelCase					:List[str]					     =	[]

			_UpperCamelCase					:int					     =	0
			for index, char in enumerate(snake_case__		):
						if char == separator:
									split_words.append(string[last_index:index]		)
									_UpperCamelCase					:Dict					     =	index + 1
						elif index + 1 == len(snake_case__		):
									split_words.append(string[last_index : index + 1]		)
			return split_words


if __name__ == "__main__":
					from doctest import testmod

					testmod()

