


import argparse
import os
import re


UpperCAmelCase      =   """src/transformers/models/auto"""


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






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE = False )->  Tuple:




      """simple docstring"""

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

      snake_case_	=				content.split('''\n''' )
      snake_case_	=				[]
      snake_case_	=				0
      while line_idx < len(SCREAMING_SNAKE_CASE ):
            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(SCREAMING_SNAKE_CASE , key=lambda SCREAMING_SNAKE_CASE : _re_identifier.search(SCREAMING_SNAKE_CASE ).groups()[0] )
                  new_lines += blocks
            else:
                  new_lines.append(lines[line_idx] )
                  line_idx += 1

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






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE = False )->  str:




      """simple docstring"""

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

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


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

   sort_all_auto_mappings(not args.check_only)



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase      =   {"""configuration_vit_msn""": ["""VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTMSNConfig"""]}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase      =   [
       """VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """ViTMSNModel""",
       """ViTMSNForImageClassification""",
       """ViTMSNPreTrainedModel""",
   ]

if TYPE_CHECKING:
   from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vit_msn import (
          VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
          ViTMSNForImageClassification,
          ViTMSNModel,
          ViTMSNPreTrainedModel,
      )

else:
   import sys

   UpperCAmelCase      =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)