
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)

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




      def 		snake_case_			(      self		:       List[Any]				):
          self.one_complete_example('''complete_nlp_example.py'''				,       _snake_case				)
          self.one_complete_example('''complete_nlp_example.py'''				,       _snake_case				)




      def 		snake_case_			(      self		:       Dict				):
          __lowercase		:			List[str]	    =       os.path.abspath(os.path.join('''examples'''				,       '''cv_example.py'''				)				)
          __lowercase		:			Union[str, 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'''				,       _snake_case				,       _snake_case				,       _snake_case				)
          self.one_complete_example('''complete_cv_example.py'''				,       _snake_case				,       _snake_case				,       _snake_case				)






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



      """simple docstring"""







      A__	:			List[str]        =    False




      @classmethod
      def 		snake_case_			(      cls		:       List[Any]				):
          super().setUpClass()
          __lowercase		:			Optional[int]	    =       tempfile.mkdtemp()
          __lowercase		:			Tuple	    =       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 		snake_case_			(      cls		:       Tuple				):
          super().tearDownClass()
          shutil.rmtree(cls._tmpdir				)




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




      def 		snake_case_			(      self		:       List[str]				):
          __lowercase		:			int	    =       F'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir				,       "epoch_0"				)}\n        '.split()
          __lowercase		:			Any	    =       run_command(self._launch_args + testargs				,       return_stdout=_snake_case				)
          self.assertNotIn('''epoch 0:'''				,       _snake_case				)
          self.assertIn('''epoch 1:'''				,       _snake_case				)




      def 		snake_case_			(      self		:       List[Any]				):
          __lowercase		:			Tuple	    =       F'\n        examples/by_feature/checkpointing.py\n        --resume_from_checkpoint {os.path.join(self.tmpdir				,       "step_2"				)}\n        '.split()
          __lowercase		:			List[str]	    =       run_command(self._launch_args + testargs				,       return_stdout=_snake_case				)
          if torch.cuda.is_available():
              __lowercase		:			Optional[int]	    =       torch.cuda.device_count()
          else:
              __lowercase		:			Optional[int]	    =       1
          if num_processes > 1:
              self.assertNotIn('''epoch 0:'''				,       _snake_case				)
              self.assertIn('''epoch 1:'''				,       _snake_case				)
          else:
              self.assertIn('''epoch 0:'''				,       _snake_case				)
              self.assertIn('''epoch 1:'''				,       _snake_case				)




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




      def 		snake_case_			(      self		:       int				):
          __lowercase		:			Tuple	    =       ['''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		:       List[str]				):
          with tempfile.TemporaryDirectory() as tmpdir:
              __lowercase		:			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(_snake_case				,       '''tracking'''				)				)				)




      def 		snake_case_			(      self		:       Dict				):
          __lowercase		:			str	    =       ['''examples/by_feature/gradient_accumulation.py''']
          run_command(self._launch_args + testargs				)




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




def     UpperCAmelCase_  (						__lowerCAmelCase	) ->						int:

    if not isinstance(__lowerCAmelCase	,					__lowerCAmelCase	):
        raise ValueError('''multiplicative_persistence() only accepts integral values'''	)
    if num < 0:
        raise ValueError('''multiplicative_persistence() does not accept negative values'''	)

    __lowercase		:			Dict	    =       0
    __lowercase		:			Optional[int]	    =       str(__lowerCAmelCase	)

    while len(__lowerCAmelCase	) != 1:
        __lowercase		:			str	    =       [int(__lowerCAmelCase	) for i in num_string]

        __lowercase		:			Union[str, Any]	    =       1
        for i in range(0	,					len(__lowerCAmelCase	)	):
            total *= numbers[i]

        __lowercase		:			Any	    =       str(__lowerCAmelCase	)

        steps += 1
    return steps


def     UpperCAmelCase_  (						__lowerCAmelCase	) ->						int:

    if not isinstance(__lowerCAmelCase	,					__lowerCAmelCase	):
        raise ValueError('''additive_persistence() only accepts integral values'''	)
    if num < 0:
        raise ValueError('''additive_persistence() does not accept negative values'''	)

    __lowercase		:			Any	    =       0
    __lowercase		:			Union[str, Any]	    =       str(__lowerCAmelCase	)

    while len(__lowerCAmelCase	) != 1:
        __lowercase		:			List[str]	    =       [int(__lowerCAmelCase	) for i in num_string]

        __lowercase		:			Tuple	    =       0
        for i in range(0	,					len(__lowerCAmelCase	)	):
            total += numbers[i]

        __lowercase		:			List[str]	    =       str(__lowerCAmelCase	)

        steps += 1
    return steps


if __name__ == "__main__":
 import doctest

 doctest.testmod()


