




import argparse
import os
import re


_lowerCamelCase			:	Dict							 =     """src/transformers/models/auto"""


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







def SCREAMING_SNAKE_CASE       ( lowercase_				,       lowercase_ = False		)     -> Union[str, Any]:



       """simple docstring"""

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

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

                     A__   				=					[]
                     while lines[line_idx].strip() != "]":
                            # Blocks either fit in one line or not
                            if lines[line_idx].strip() == "(":
                                   A__   				=					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
                     A__   				=					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 SCREAMING_SNAKE_CASE       ( lowercase_ = False		)     -> List[Any]:



       """simple docstring"""

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

       if not overwrite and any(lowercase_		):
              A__   				=					[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__":
  _lowerCamelCase			:	Any							 =     argparse.ArgumentParser()
  parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
  _lowerCamelCase			:	int							 =     parser.parse_args()

  sort_all_auto_mappings(not args.check_only)








from argparse import ArgumentParser

from . import BaseTransformersCLICommand







def SCREAMING_SNAKE_CASE       ( lowercase_		)     -> str:



       """simple docstring"""

       return DownloadCommand(args.model				,       args.cache_dir				,       args.force				,       args.trust_remote_code		)


class        UpperCamelCase_					(				UpperCAmelCase__  ):

    '''simple docstring'''






    @staticmethod
    def  SCREAMING_SNAKE_CASE							(    UpperCAmelCase__   :			ArgumentParser)		->Any:





           '''simple docstring'''

           A__   				=					parser.add_parser('''download''')
           download_parser.add_argument(
               '''--cache-dir'''      ,				type=UpperCAmelCase__      ,				default=UpperCAmelCase__      ,				help='''Path to location to store the models''')
           download_parser.add_argument(
               '''--force'''      ,				action='''store_true'''      ,				help='''Force the model to be download even if already in cache-dir''')
           download_parser.add_argument(
               '''--trust-remote-code'''      ,				action='''store_true'''      ,				help='''Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine'''      ,				)
           download_parser.add_argument('''model'''      ,				type=UpperCAmelCase__      ,				help='''Name of the model to download''')
           download_parser.set_defaults(func=UpperCAmelCase__)


    def __init__(    self   :			Dict      ,				UpperCAmelCase__   :			str      ,				UpperCAmelCase__   :			str      ,				UpperCAmelCase__   :			bool      ,				UpperCAmelCase__   :			bool)		->int:





           '''simple docstring'''

           A__   				=					model
           A__   				=					cache
           A__   				=					force
           A__   				=					trust_remote_code





    def  SCREAMING_SNAKE_CASE							(    self   :			str)		->Union[str, Any]:





           '''simple docstring'''

           from ..models.auto import AutoModel, AutoTokenizer

           AutoModel.from_pretrained(
               self._model      ,				cache_dir=self._cache      ,				force_download=self._force      ,				trust_remote_code=self._trust_remote_code)
           AutoTokenizer.from_pretrained(
               self._model      ,				cache_dir=self._cache      ,				force_download=self._force      ,				trust_remote_code=self._trust_remote_code)


