




'''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)

UpperCAmelCase					:		Optional[Any]		=							[
    '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					):







  def 				UpperCAmelCase_				(		self     ,     lowercase__     ,     lowercase__     ,     lowercase__ = None     ,     lowercase__ = None		)		->						int:






        """simple docstring"""





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







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






        """simple docstring"""





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







  def 				UpperCAmelCase_				(		self		)		->						Tuple:






        """simple docstring"""





        _snake_case		:	List[Any]					     =     os.path.abspath(os.path.join('''examples'''     ,     '''cv_example.py'''		)		)
        _snake_case		:	Dict					     =     [
            ''' ''' * 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'''     ,     lowercase__     ,     lowercase__     ,     lowercase__		)
        self.one_complete_example('''complete_cv_example.py'''     ,     lowercase__     ,     lowercase__     ,     lowercase__		)





@mock.patch.dict(os.environ						,      {"""TESTING_MOCKED_DATALOADERS""": """1"""}					)
class lowerCamelCase						(UpperCamelCase_					):
  _lowercase  :	Union[str, Any]       					=				False







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






        """simple docstring"""





        super().setUpClass()
        _snake_case		:	List[Any]					     =     tempfile.mkdtemp()
        _snake_case		:	Tuple					     =     os.path.join(cls._tmpdir     ,     '''default_config.yml'''		)

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







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






        """simple docstring"""





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







  def 				UpperCAmelCase_				(		self		)		->						str:






        """simple docstring"""





        _snake_case		:	Dict					     =     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 				UpperCAmelCase_				(		self		)		->						Dict:






        """simple docstring"""





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







  def 				UpperCAmelCase_				(		self		)		->						Dict:






        """simple docstring"""





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







  def 				UpperCAmelCase_				(		self		)		->						List[Any]:






        """simple docstring"""





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







  @slow
  def 				UpperCAmelCase_				(		self		)		->						str:






        """simple docstring"""





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







  def 				UpperCAmelCase_				(		self		)		->						List[Any]:






        """simple docstring"""





        _snake_case		:	Optional[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		)		->						int:






        """simple docstring"""





        with tempfile.TemporaryDirectory() as tmpdir:
              _snake_case		:	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(lowercase__     ,     '''tracking'''		)		)		)







  def 				UpperCAmelCase_				(		self		)		->						int:






        """simple docstring"""





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







  def 				UpperCAmelCase_				(		self		)		->						List[Any]:






        """simple docstring"""





        _snake_case		:	List[str]					     =     ['''examples/by_feature/local_sgd.py''']
        run_command(self._launch_args + testargs		)









'''simple docstring'''

import math

from numpy import inf
from scipy.integrate import quad




def    _a    (							lowerCAmelCase_	):





      """simple docstring"""



      if num <= 0:
            raise ValueError('''math domain error'''	)

      return quad(lowerCAmelCase_			,      0			,      lowerCAmelCase_			,      args=(lowerCAmelCase_)	)[0]




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      return math.pow(lowerCAmelCase_			,      z - 1	) * math.exp(-x	)


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

   testmod()


