
import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


_UpperCAmelCase        =				'scheduler_config.json'



class 							_UpperCamelCase					(	lowerCAmelCase_     ):
       _UpperCamelCase				:					Optional[Any]         =   1
       _UpperCamelCase				:					Optional[int]         =   2
       _UpperCamelCase				:					Union[str, Any]         =   3
       _UpperCamelCase				:					Dict         =   4
       _UpperCamelCase				:					List[str]         =   5
       _UpperCamelCase				:					Optional[Any]         =   6
       _UpperCamelCase				:					Union[str, Any]         =   7
       _UpperCamelCase				:					List[Any]         =   8
       _UpperCamelCase				:					Dict         =   9
       _UpperCamelCase				:					List[str]         =   1_0
       _UpperCamelCase				:					List[str]         =   1_1
       _UpperCamelCase				:					Dict         =   1_2
       _UpperCamelCase				:					str         =   1_3
       _UpperCamelCase				:					Optional[int]         =   1_4



@dataclass
class 							_UpperCamelCase					(	lowerCAmelCase_     ):
       _UpperCamelCase				:					torch.FloatTensor



class 							_UpperCamelCase					:
       _UpperCamelCase				:					Tuple         =   SCHEDULER_CONFIG_NAME
       _UpperCamelCase				:					List[str]         =   []
       _UpperCamelCase				:					Optional[int]         =   True

       @classmethod
       def lowercase (		cls: Union[str, Any]					,   _SCREAMING_SNAKE_CASE: Dict[str, Any] = None					,   _SCREAMING_SNAKE_CASE: Optional[str] = None					,   _SCREAMING_SNAKE_CASE: int=False					,   **_SCREAMING_SNAKE_CASE: Dict					,   )       -> Tuple:




              """simple docstring"""


              UpperCamelCase_       , UpperCamelCase_       , UpperCamelCase_          =  cls.load_config(
                  pretrained_model_name_or_path=_SCREAMING_SNAKE_CASE					,   subfolder=_SCREAMING_SNAKE_CASE					,   return_unused_kwargs=_SCREAMING_SNAKE_CASE					,   return_commit_hash=_SCREAMING_SNAKE_CASE					,   **_SCREAMING_SNAKE_CASE					,   )
              return cls.from_config(_SCREAMING_SNAKE_CASE					,   return_unused_kwargs=_SCREAMING_SNAKE_CASE					,   **_SCREAMING_SNAKE_CASE		)

       def lowercase (		self: Union[str, Any]					,   _SCREAMING_SNAKE_CASE: Union[str, os.PathLike]					,   _SCREAMING_SNAKE_CASE: bool = False					,   **_SCREAMING_SNAKE_CASE: Any		)       -> Union[str, Any]:




              """simple docstring"""


              self.save_config(save_directory=_SCREAMING_SNAKE_CASE					,   push_to_hub=_SCREAMING_SNAKE_CASE					,   **_SCREAMING_SNAKE_CASE		)

       @property
       def lowercase (		self: Any		)       -> Optional[Any]:




              """simple docstring"""


              return self._get_compatibles()



       @classmethod
       def lowercase (		cls: Union[str, Any]		)       -> List[Any]:




              """simple docstring"""


              UpperCamelCase_          =  list(set([cls.__name__] + cls._compatibles		)		)
              UpperCamelCase_          =  importlib.import_module(__name__.split("."		)[0]		)
              UpperCamelCase_          =  [
                  getattr(_SCREAMING_SNAKE_CASE					,   _SCREAMING_SNAKE_CASE		) for c in compatible_classes_str if hasattr(_SCREAMING_SNAKE_CASE					,   _SCREAMING_SNAKE_CASE		)
              ]
              return compatible_classes








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_ (							UpperCamelCase_					,		UpperCamelCase_ = False  )     ->		Union[str, Any]:
       with open(UpperCamelCase_					,		"r"					,		encoding="utf-8"  ) as f:
              UpperCamelCase_          =  f.read()

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

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

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




def  lowerCAmelCase_ (							UpperCamelCase_ = False  )     ->		List[Any]:
       UpperCamelCase_          =  [os.path.join(UpperCamelCase_					,		UpperCamelCase_  ) for f in os.listdir(UpperCamelCase_  ) if f.endswith(".py"  )]
       UpperCamelCase_          =  [sort_auto_mapping(UpperCamelCase_					,		overwrite=UpperCamelCase_  ) for fname in fnames]

       if not overwrite and any(UpperCamelCase_  ):
              UpperCamelCase_          =  [f for f, d in zip(UpperCamelCase_					,		UpperCamelCase_  ) if d]
              raise ValueError(
                  F'''The following files have auto mappings that need sorting: {", ".join(UpperCamelCase_  )}. 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)

