


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   							=						[
    '''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 		snake_case_	(			self: List[str],A_: str,A_: bool,A_: str = None,A_: list = None					):






            '''simple docstring'''




            __UpperCamelCase =			None
            __UpperCamelCase =			os.path.abspath(os.path.join('examples','by_feature'					)					)
            __UpperCamelCase =			os.path.abspath('examples'					)
            for item in os.listdir(A_					):
                 if item not in EXCLUDE_EXAMPLES:
                      __UpperCamelCase =			os.path.join(A_,A_					)
                      if os.path.isfile(A_					) and ".py" in item_path:
                           with self.subTest(
                               tested_script=A_,feature_script=A_,tested_section='main()' if parser_only else 'training_function()',):
                                __UpperCamelCase =			compare_against_test(
                                    os.path.join(A_,A_					),A_,A_,A_					)
                                __UpperCamelCase =			'\n'.join(A_					)
                                if special_strings is not None:
                                     for string in special_strings:
                                          __UpperCamelCase =			diff.replace(A_,''					)
                                self.assertEqual(A_,''					)







       def 		snake_case_	(			self: int					):






            '''simple docstring'''




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







       def 		snake_case_	(			self: Any					):






            '''simple docstring'''




            __UpperCamelCase =			os.path.abspath(os.path.join('examples','cv_example.py'					)					)
            __UpperCamelCase =			[
                ' ' * 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',A_,A_,A_					)
            self.one_complete_example('complete_cv_example.py',A_,A_,A_					)



@mock.patch.dict(os.environ				,      {"""TESTING_MOCKED_DATALOADERS""": """1"""}						)
class 	__lowerCamelCase			(_a						):
       _lowercase											=     False







       @classmethod
       def 		snake_case_	(			cls: int					):






            '''simple docstring'''




            super().setUpClass()
            __UpperCamelCase =			tempfile.mkdtemp()
            __UpperCamelCase =			os.path.join(cls._tmpdir,'default_config.yml'					)

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







       @classmethod
       def 		snake_case_	(			cls: Optional[Any]					):






            '''simple docstring'''




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







       def 		snake_case_	(			self: Tuple					):






            '''simple docstring'''




            __UpperCamelCase =			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 		snake_case_	(			self: str					):






            '''simple docstring'''




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







       def 		snake_case_	(			self: Optional[Any]					):






            '''simple docstring'''




            __UpperCamelCase =			F'''
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir,'epoch_0'					)}
        '''.split()
            __UpperCamelCase =			run_command(self._launch_args + testargs,return_stdout=A_					)
            self.assertNotIn('epoch 0:',A_					)
            self.assertIn('epoch 1:',A_					)







       def 		snake_case_	(			self: str					):






            '''simple docstring'''




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







       @slow
       def 		snake_case_	(			self: Optional[Any]					):






            '''simple docstring'''




            __UpperCamelCase =			'\n        examples/by_feature/cross_validation.py\n        --num_folds 2\n        '.split()
            with mock.patch.dict(os.environ,{'TESTING_MOCKED_DATALOADERS': '0'}					):
                 __UpperCamelCase =			run_command(self._launch_args + testargs,return_stdout=A_					)
                 __UpperCamelCase =			re.findall('({.+})',A_					)
                 __UpperCamelCase =			[r for r in results if 'accuracy' in r][-1]
                 __UpperCamelCase =			ast.literal_eval(A_					)
                 self.assertGreaterEqual(results['accuracy'],0.7_5					)







       def 		snake_case_	(			self: Tuple					):






            '''simple docstring'''




            __UpperCamelCase =			['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: Dict					):






            '''simple docstring'''




            with tempfile.TemporaryDirectory() as tmpdir:
                 __UpperCamelCase =			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(A_,'tracking'					)					)					)







       def 		snake_case_	(			self: List[str]					):






            '''simple docstring'''




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







       def 		snake_case_	(			self: List[Any]					):






            '''simple docstring'''




            __UpperCamelCase =			['examples/by_feature/local_sgd.py']
            run_command(self._launch_args + testargs					)






import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
__snake_case   							=						'''src/diffusers'''

# Matches is_xxx_available()
__snake_case   							=						re.compile(r'''is\_([a-z_]*)_available\(\)''')
# Matches from xxx import bla
__snake_case   							=						re.compile(r'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')


__snake_case   							=						'''
{0} = None
'''

__snake_case   							=						'''
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
'''


__snake_case   							=						'''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''






def 		_A		(		_lowercase )					-> int:


     """simple docstring"""


     __UpperCamelCase =			_re_backend.findall(_lowercase )
     if len(_lowercase ) == 0:
          return None

     return "_and_".join(_lowercase )






def 		_A		(		)					-> Tuple:


     """simple docstring"""


     with open(os.path.join(_lowercase					,  '__init__.py' )					,  'r'					,  encoding='utf-8'					,  newline='\n' ) as f:
          __UpperCamelCase =			f.readlines()

     # Get to the point we do the actual imports for type checking
     __UpperCamelCase =			0
     __UpperCamelCase =			{}
     # Go through the end of the file
     while line_index < len(_lowercase ):
          # If the line contains is_backend_available, we grab all objects associated with the `else` block
          __UpperCamelCase =			find_backend(lines[line_index] )
          if backend is not None:
               while not lines[line_index].startswith('else:' ):
                    line_index += 1
               line_index += 1
               __UpperCamelCase =			[]
               # Until we unindent, add backend objects to the list
               while line_index < len(_lowercase ) and len(lines[line_index] ) > 1:
                    __UpperCamelCase =			lines[line_index]
                    __UpperCamelCase =			_re_single_line_import.search(_lowercase )
                    if single_line_import_search is not None:
                         objects.extend(single_line_import_search.groups()[0].split(', ' ) )
                    elif line.startswith(' ' * 8 ):
                         objects.append(line[8:-2] )
                    line_index += 1

               if len(_lowercase ) > 0:
                    __UpperCamelCase =			objects
          else:
               line_index += 1

     return backend_specific_objects






def 		_A		(		_lowercase					,  _lowercase )					-> Union[str, Any]:


     """simple docstring"""


     if name.isupper():
          return DUMMY_CONSTANT.format(_lowercase )
     elif name.islower():
          return DUMMY_FUNCTION.format(_lowercase					,  _lowercase )
     else:
          return DUMMY_CLASS.format(_lowercase					,  _lowercase )






def 		_A		(		_lowercase=None )					-> Optional[Any]:


     """simple docstring"""


     if backend_specific_objects is None:
          __UpperCamelCase =			read_init()
     # For special correspondence backend to module name as used in the function requires_modulename
     __UpperCamelCase =			{}

     for backend, objects in backend_specific_objects.items():
          __UpperCamelCase =			'[' + ', '.join(f'''"{b}"''' for b in backend.split('_and_' ) ) + ']'
          __UpperCamelCase =			'# This file is autogenerated by the command `make fix-copies`, do not edit.\n'
          dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
          dummy_file += "\n".join([create_dummy_object(_lowercase					,  _lowercase ) for o in objects] )
          __UpperCamelCase =			dummy_file

     return dummy_files






def 		_A		(		_lowercase=False )					-> List[str]:


     """simple docstring"""


     __UpperCamelCase =			create_dummy_files()
     # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
     __UpperCamelCase =			{'torch': 'pt'}

     # Locate actual dummy modules and read their content.
     __UpperCamelCase =			os.path.join(_lowercase					,  'utils' )
     __UpperCamelCase =			{
         backend: os.path.join(_lowercase					,  f'''dummy_{short_names.get(_lowercase					,  _lowercase )}_objects.py''' )
         for backend in dummy_files.keys()
     }

     __UpperCamelCase =			{}
     for backend, file_path in dummy_file_paths.items():
          if os.path.isfile(_lowercase ):
               with open(_lowercase					,  'r'					,  encoding='utf-8'					,  newline='\n' ) as f:
                    __UpperCamelCase =			f.read()
          else:
               __UpperCamelCase =			''

     for backend in dummy_files.keys():
          if dummy_files[backend] != actual_dummies[backend]:
               if overwrite:
                    print(
                        f'''Updating diffusers.utils.dummy_{short_names.get(_lowercase					,  _lowercase )}_objects.py as the main '''
                        '__init__ has new objects.' )
                    with open(dummy_file_paths[backend]					,  'w'					,  encoding='utf-8'					,  newline='\n' ) as f:
                         f.write(dummy_files[backend] )
               else:
                    raise ValueError(
                        'The main __init__ has objects that are not present in '
                        f'''diffusers.utils.dummy_{short_names.get(_lowercase					,  _lowercase )}_objects.py. Run `make fix-copies` '''
                        'to fix this.' )


if __name__ == "__main__":
    __snake_case   							=						argparse.ArgumentParser()
    parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
    __snake_case   							=						parser.parse_args()

    check_dummies(args.fix_and_overwrite)


