
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
__SCREAMING_SNAKE_CASE			:   str         =     'src/transformers'

# Matches is_xxx_available()
__SCREAMING_SNAKE_CASE			:   Dict         =     re.compile(r'is\_([a-z_]*)_available()')
# Matches from xxx import bla
__SCREAMING_SNAKE_CASE			:   Optional[Any]         =     re.compile(r'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')
__SCREAMING_SNAKE_CASE			:   Optional[int]         =     re.compile(r'^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)')


__SCREAMING_SNAKE_CASE			:   Optional[Any]         =     '\n{0} = None\n'

__SCREAMING_SNAKE_CASE			:   Union[str, Any]         =     '\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n'


__SCREAMING_SNAKE_CASE			:   Union[str, Any]         =     '\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'
def     UpperCAmelCase__							(       __magic_name__						:     Any  ):


     '''simple docstring'''

     if _re_test_backend.search(__magic_name__  ) is None:
          return None
     lowerCAmelCase		:					str  	=     [b[0] for b in _re_backend.findall(__magic_name__  )]
     backends.sort()
     return "_and_".join(__magic_name__  )
def     UpperCAmelCase__							(       ):


     '''simple docstring'''

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

     # Get to the point we do the actual imports for type checking
     lowerCAmelCase		:					List[Any]  	=     0
     while not lines[line_index].startswith('''if TYPE_CHECKING'''  ):
          line_index += 1

     lowerCAmelCase		:					Tuple  	=     {}
     # Go through the end of the file
     while line_index < len(__magic_name__  ):
          # If the line is an if is_backend_available, we grab all objects associated.
          lowerCAmelCase		:					Dict  	=     find_backend(lines[line_index]  )
          if backend is not None:
               while not lines[line_index].startswith('''    else:'''  ):
                    line_index += 1
               line_index += 1

               lowerCAmelCase		:					int  	=     []
               # Until we unindent, add backend objects to the list
               while len(lines[line_index]  ) <= 1 or lines[line_index].startswith(''' ''' * 8  ):
                    lowerCAmelCase		:					Any  	=     lines[line_index]
                    lowerCAmelCase		:					List[str]  	=     _re_single_line_import.search(__magic_name__  )
                    if single_line_import_search is not None:
                         objects.extend(single_line_import_search.groups()[0].split(''', '''  )  )
                    elif line.startswith(''' ''' * 12  ):
                         objects.append(line[12:-2]  )
                    line_index += 1

               lowerCAmelCase		:					Optional[int]  	=     objects
          else:
               line_index += 1

     return backend_specific_objects
def     UpperCAmelCase__							(       __magic_name__						:     Optional[int]							,  __magic_name__						:     str  ):


     '''simple docstring'''

     if name.isupper():
          return DUMMY_CONSTANT.format(__magic_name__  )
     elif name.islower():
          return DUMMY_FUNCTION.format(__magic_name__							,  __magic_name__  )
     else:
          return DUMMY_CLASS.format(__magic_name__							,  __magic_name__  )
def     UpperCAmelCase__							(       __magic_name__						:     Optional[Any]=None  ):


     '''simple docstring'''

     if backend_specific_objects is None:
          lowerCAmelCase		:					Union[str, Any]  	=     read_init()
     # For special correspondence backend to module name as used in the function requires_modulename
     lowerCAmelCase		:					Optional[Any]  	=     {}

     for backend, objects in backend_specific_objects.items():
          lowerCAmelCase		:					Any  	=     '''[''' + ''', '''.join(f'''"{b}"''' for b in backend.split('''_and_'''  )  ) + ''']'''
          lowerCAmelCase		:					Optional[int]  	=     '''# 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(__magic_name__							,  __magic_name__  ) for o in objects]  )
          lowerCAmelCase		:					Tuple  	=     dummy_file

     return dummy_files
def     UpperCAmelCase__							(       __magic_name__						:     Optional[Any]=False  ):


     '''simple docstring'''

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

     # Locate actual dummy modules and read their content.
     lowerCAmelCase		:					Optional[int]  	=     os.path.join(__magic_name__							,  '''utils'''  )
     lowerCAmelCase		:					Dict  	=     {
         backend: os.path.join(__magic_name__							,  f'''dummy_{short_names.get(__magic_name__							,  __magic_name__  )}_objects.py'''  )
         for backend in dummy_files.keys()
     }

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

     for backend in dummy_files.keys():
          if dummy_files[backend] != actual_dummies[backend]:
               if overwrite:
                    print(
                        f'''Updating transformers.utils.dummy_{short_names.get(__magic_name__							,  __magic_name__  )}_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'''transformers.utils.dummy_{short_names.get(__magic_name__							,  __magic_name__  )}_objects.py. Run `make fix-copies` '''
                        '''to fix this.'''  )


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

  check_dummies(args.fix_and_overwrite)


from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
		from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore


class 		__magic_name__   (						snake_case    ):
		_lowerCAmelCase		=	c_float





		@property
		def       _A							(							self    :	int				):
							return sizeof(self.value				)



def     UpperCAmelCase__							(       __magic_name__						:     int							,  __magic_name__						:     int							,  __magic_name__						:     int = 0  ):


					'''simple docstring'''

					if dimension <= 0:
										lowerCAmelCase		:					Tuple  	=     fixed_dimension

					dimension -= num_token_to_add
					return dimension
def     UpperCAmelCase__							(       __magic_name__						:     int							,  __magic_name__						:     ParameterFormat  ):


					'''simple docstring'''

					return num_parameters * dtype.size
def     UpperCAmelCase__							(       __magic_name__						:     str  ):


					'''simple docstring'''

					from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

					try:
										return AutoProcessor.from_pretrained(__magic_name__  )
					except (ValueError, OSError, KeyError):
										lowerCAmelCase	,							lowerCAmelCase		:					Any  	=     None, None
										try:
															lowerCAmelCase		:					Union[str, Any]  	=     AutoTokenizer.from_pretrained(__magic_name__  )
										except (OSError, KeyError):
															pass
										try:
															lowerCAmelCase		:					List[Any]  	=     AutoFeatureExtractor.from_pretrained(__magic_name__  )
										except (OSError, KeyError):
															pass

										if tokenizer is not None and feature_extractor is not None:
															raise ValueError(
															    f'''Couldn\'t auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor.'''  )
										elif tokenizer is None and feature_extractor is None:
															return None
										elif tokenizer is not None:
															return tokenizer
										else:
															return feature_extractor
