




'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


UpperCAmelCase_							:	Any	     =		{
    '''configuration_rag''': ['''RagConfig'''],
    '''retrieval_rag''': ['''RagRetriever'''],
    '''tokenization_rag''': ['''RagTokenizer'''],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase_							:	Union[str, Any]	     =		[
         '''RagModel''',
         '''RagPreTrainedModel''',
         '''RagSequenceForGeneration''',
         '''RagTokenForGeneration''',
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase_							:	Union[str, Any]	     =		[
         '''TFRagModel''',
         '''TFRagPreTrainedModel''',
         '''TFRagSequenceForGeneration''',
         '''TFRagTokenForGeneration''',
     ]


if TYPE_CHECKING:
     from .configuration_rag import RagConfig
     from .retrieval_rag import RagRetriever
     from .tokenization_rag import RagTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_rag import (
              TFRagModel,
              TFRagPreTrainedModel,
              TFRagSequenceForGeneration,
              TFRagTokenForGeneration,
          )

else:
     import sys

     UpperCAmelCase_							:	int	     =		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)












'''simple docstring'''



import argparse
import os
import re


UpperCAmelCase_							:	List[str]	     =		'''src/transformers/models/auto'''


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
UpperCAmelCase_							:	Tuple	     =		re.compile(R'''[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict''')
# re pattern that matches identifiers in mappings
UpperCAmelCase_							:	Dict	     =		re.compile(R'''\s*\(\s*"(\S[^"]+)"''')







def       _UpperCamelCase			(_lowerCamelCase				:  List[Any] ,						_lowerCamelCase				:  bool = False						)-> str:




     '''simple docstring'''





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

     __snake_case            =	content.split('''\n'''						)
     __snake_case            =	[]
     __snake_case            =	0
     while line_idx < len(_lowerCamelCase						):
          if _re_intro_mapping.search(lines[line_idx]						) is not None:
               __snake_case            =	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

               __snake_case            =	[]
               while lines[line_idx].strip() != "]":
                    # Blocks either fit in one line or not
                    if lines[line_idx].strip() == "(":
                         __snake_case            =	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
               __snake_case            =	sorted(_lowerCamelCase ,						key=lambda _lowerCamelCase						: _re_identifier.search(_lowerCamelCase						).groups()[0]						)
               new_lines += blocks
          else:
               new_lines.append(lines[line_idx]						)
               line_idx += 1

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







def       _UpperCamelCase			(_lowerCamelCase				:  bool = False						)-> Tuple:




     '''simple docstring'''





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

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


if __name__ == "__main__":
     UpperCAmelCase_							:	str	     =		argparse.ArgumentParser()
     parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
     UpperCAmelCase_							:	List[Any]	     =		parser.parse_args()

     sort_all_auto_mappings(not args.check_only)






