

'''simple docstring'''
import argparse
import os
import re


_UpperCAmelCase  :		Optional[Any]  =		'''src/transformers/models/auto'''


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
_UpperCAmelCase  :		List[str]  =		re.compile(r'''[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict''')
# re pattern that matches identifiers in mappings
_UpperCAmelCase  :		Optional[int]  =		re.compile(r'''\s*\(\s*"(\S[^"]+)"''')




def 	UpperCamelCase   (       lowercase_						:    Dict     ,					lowercase_						:    bool = False	)		->	List[Any]:




  '''simple docstring'''



  with open(lowercase_     ,					'''r'''     ,					encoding='''utf-8'''	) as f:
    lowercase									=f.read()

  lowercase									=content.split('''\n'''	)
  lowercase									=[]
  lowercase									=0
  while line_idx < len(lowercase_	):
    if _re_intro_mapping.search(lines[line_idx]	) is not None:
      lowercase									=len(re.search(R'''^(\s*)\S'''     ,					lines[line_idx]	).groups()[0]	) + 8
      # Start of a new mapping!
      while not lines[line_idx].startswith(''' ''' * indent + '''('''	):
        new_lines.append(lines[line_idx]	)
        line_idx += 1

      lowercase									=[]
      while lines[line_idx].strip() != "]":
        # Blocks either fit in one line or not
        if lines[line_idx].strip() == "(":
          lowercase									=line_idx
          while not lines[line_idx].startswith(''' ''' * indent + ''')'''	):
            line_idx += 1
          blocks.append('''\n'''.join(lines[start_idx : line_idx + 1]	)	)
        else:
          blocks.append(lines[line_idx]	)
        line_idx += 1

      # Sort blocks by their identifiers
      lowercase									=sorted(lowercase_     ,					key=lambda lowercase_	: _re_identifier.search(lowercase_	).groups()[0]	)
      new_lines += blocks
    else:
      new_lines.append(lines[line_idx]	)
      line_idx += 1

  if overwrite:
    with open(lowercase_     ,					'''w'''     ,					encoding='''utf-8'''	) as f:
      f.write('''\n'''.join(lowercase_	)	)
  elif "\n".join(lowercase_	) != content:
    return True




def 	UpperCamelCase   (       lowercase_						:    bool = False	)		->	str:




  '''simple docstring'''



  lowercase									=[os.path.join(lowercase_     ,					lowercase_	) for f in os.listdir(lowercase_	) if f.endswith('''.py'''	)]
  lowercase									=[sort_auto_mapping(lowercase_     ,					overwrite=lowercase_	) for fname in fnames]

  if not overwrite and any(lowercase_	):
    lowercase									=[f for f, d in zip(lowercase_     ,					lowercase_	) if d]
    raise ValueError(
        f'The following files have auto mappings that need sorting: {", ".join(lowercase_	)}. Run `make style` to fix'
        ''' this.'''	)


if __name__ == "__main__":
     _UpperCAmelCase  :		Dict  =		argparse.ArgumentParser()
     parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
     _UpperCAmelCase  :		int  =		parser.parse_args()

     sort_all_auto_mappings(not args.check_only)






import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


SCREAMING_SNAKE_CASE__     :     List[Any]		    =       logging.get_logger(__name__)



class       a_       (     SCREAMING_SNAKE_CASE__     ):





	def __init__(							self      ,     *SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )  ->					None:




				"""simple docstring"""



				warnings.warn(
				    'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
				    ' Please use PerceiverImageProcessor instead.'      ,     SCREAMING_SNAKE_CASE      ,     )
				super().__init__(*SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )
