





"""simple docstring"""


import os
import warnings
from pathlib import Path
from typing import Optional, Union

from .dynamic_module_utils import custom_object_save
from .tokenization_utils_base import PreTrainedTokenizerBase
from .utils import PushToHubMixin, copy_func, direct_transformers_import, logging


a__					:     Union[str, Any]							=				logging.get_logger(__name__)

# Dynamically import the Transformers module to grab the attribute classes of the processor form their names.
a__					:     Optional[int]							=				direct_transformers_import(Path(__file__).parent)


a__					:     Dict							=				{
    """AutoTokenizer""": """PreTrainedTokenizerBase""",
    """AutoFeatureExtractor""": """FeatureExtractionMixin""",
    """AutoImageProcessor""": """ImageProcessingMixin""",
}



class      lowercase_				(     __lowerCAmelCase							):
       snake_case__				:							Union[str, Any]											=     ["""feature_extractor""", """tokenizer"""]
       # Names need to be attr_class for attr in attributes
       snake_case__				:							Any											=     None
       snake_case__				:							List[Any]											=     None
       snake_case__				:							Optional[Any]											=     None

       def __init__(			self   ,					*__SCREAMING_SNAKE_CASE   ,					**__SCREAMING_SNAKE_CASE     ):






        '''simple docstring'''

        for key in kwargs:
         if key not in self.attributes:
          raise TypeError(F"Unexpected keyword argument {key}."     )
        for arg, attribute_name in zip(__SCREAMING_SNAKE_CASE   ,					self.attributes     ):
         if attribute_name in kwargs:
          raise TypeError(F"Got multiple values for argument {attribute_name}."     )
         else:
          snake_case__    							=				arg

        if len(__SCREAMING_SNAKE_CASE     ) != len(self.attributes     ):
         raise ValueError(
             F"This processor requires {len(self.attributes     )} arguments: {', '.join(self.attributes     )}. Got "
             F"{len(__SCREAMING_SNAKE_CASE     )} arguments instead."     )

        # Check each arg is of the proper class (this will also catch a user initializing in the wrong order)
        for attribute_name, arg in kwargs.items():
         snake_case__    							=				getattr(self   ,					F"{attribute_name}_class"     )
         # Nothing is ever going to be an instance of "AutoXxx", in that case we check the base class.
         snake_case__    							=				AUTO_TO_BASE_CLASS_MAPPING.get(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     )
         if isinstance(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     ):
          snake_case__    							=				tuple(getattr(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     ) for n in class_name if n is not None     )
         else:
          snake_case__    							=				getattr(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     )

         if not isinstance(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     ):
          raise ValueError(
              F"Received a {type(__SCREAMING_SNAKE_CASE     ).__name__} for argument {attribute_name}, but a {class_name} was expected."     )

         setattr(self   ,					__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     )

       def __repr__(			self     ):






        '''simple docstring'''

        snake_case__    							=				[F"- {name}: {repr(getattr(self   ,					__SCREAMING_SNAKE_CASE     )     )}" for name in self.attributes]
        snake_case__    							=				"\n".join(__SCREAMING_SNAKE_CASE     )
        return F"{self.__class__.__name__}:\n{attributes_repr}"

       def 		_SCREAMING_SNAKE_CASE(			self   ,					__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE = False   ,					**__SCREAMING_SNAKE_CASE     ):






        '''simple docstring'''

        os.makedirs(__SCREAMING_SNAKE_CASE   ,					exist_ok=__SCREAMING_SNAKE_CASE     )

        if push_to_hub:
         snake_case__    							=				kwargs.pop("commit_message"   ,					__SCREAMING_SNAKE_CASE     )
         snake_case__    							=				kwargs.pop("repo_id"   ,					save_directory.split(os.path.sep     )[-1]     )
         snake_case__    							=				self._create_repo(__SCREAMING_SNAKE_CASE   ,					**__SCREAMING_SNAKE_CASE     )
         snake_case__    							=				self._get_files_timestamps(__SCREAMING_SNAKE_CASE     )
        # If we have a custom config, we copy the file defining it in the folder and set the attributes so it can be
        # loaded from the Hub.
        if self._auto_class is not None:
         snake_case__    							=				[getattr(self   ,					__SCREAMING_SNAKE_CASE     ) for attribute_name in self.attributes]
         snake_case__    							=				[(a.init_kwargs if isinstance(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     ) else a) for a in attrs]
         custom_object_save(self   ,					__SCREAMING_SNAKE_CASE   ,					config=__SCREAMING_SNAKE_CASE     )

        for attribute_name in self.attributes:
         snake_case__    							=				getattr(self   ,					__SCREAMING_SNAKE_CASE     )
         # Include the processor class in the attribute config so this processor can then be reloaded with the
         # `AutoProcessor` API.
         if hasattr(__SCREAMING_SNAKE_CASE   ,					"_set_processor_class"     ):
          attribute._set_processor_class(self.__class__.__name__     )
         attribute.save_pretrained(__SCREAMING_SNAKE_CASE     )

        if self._auto_class is not None:
         # We added an attribute to the init_kwargs of the tokenizers, which needs to be cleaned up.
         for attribute_name in self.attributes:
          snake_case__    							=				getattr(self   ,					__SCREAMING_SNAKE_CASE     )
          if isinstance(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     ):
           del attribute.init_kwargs["auto_map"]

        if push_to_hub:
         self._upload_modified_files(
             __SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE   ,					commit_message=__SCREAMING_SNAKE_CASE   ,					token=kwargs.get("use_auth_token"     )   ,					)

       @classmethod
       def 		_SCREAMING_SNAKE_CASE(			cls   ,					__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE = None   ,					__SCREAMING_SNAKE_CASE = False   ,					__SCREAMING_SNAKE_CASE = False   ,					__SCREAMING_SNAKE_CASE = None   ,					__SCREAMING_SNAKE_CASE = "main"   ,					**__SCREAMING_SNAKE_CASE   ,					):






        '''simple docstring'''

        snake_case__    							=				cache_dir
        snake_case__    							=				force_download
        snake_case__    							=				local_files_only
        snake_case__    							=				revision

        snake_case__    							=				kwargs.pop("use_auth_token"   ,					__SCREAMING_SNAKE_CASE     )
        if use_auth_token is not None:
         warnings.warn(
             "The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers."   ,					__SCREAMING_SNAKE_CASE     )
         if token is not None:
          raise ValueError(
              "`token` and `use_auth_token` are both specified. Please set only the argument `token`."     )
         snake_case__    							=				use_auth_token

        if token is not None:
         # change to `token` in a follow-up PR
         snake_case__    							=				token

        snake_case__    							=				cls._get_arguments_from_pretrained(__SCREAMING_SNAKE_CASE   ,					**__SCREAMING_SNAKE_CASE     )
        return cls(*__SCREAMING_SNAKE_CASE     )

       @classmethod
       def 		_SCREAMING_SNAKE_CASE(			cls   ,					__SCREAMING_SNAKE_CASE="AutoProcessor"     ):






        '''simple docstring'''

        if not isinstance(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     ):
         snake_case__    							=				auto_class.__name__

        import transformers.models.auto as auto_module

        if not hasattr(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     ):
         raise ValueError(F"{auto_class} is not a valid auto class."     )

        snake_case__    							=				auto_class

       @classmethod
       def 		_SCREAMING_SNAKE_CASE(			cls   ,					__SCREAMING_SNAKE_CASE   ,					**__SCREAMING_SNAKE_CASE     ):






        '''simple docstring'''

        snake_case__    							=				[]
        for attribute_name in cls.attributes:
         snake_case__    							=				getattr(cls   ,					F"{attribute_name}_class"     )
         if isinstance(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     ):
          snake_case__    							=				tuple(getattr(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     ) if n is not None else None for n in class_name     )
          snake_case__    							=				kwargs.get("use_fast"   ,					__SCREAMING_SNAKE_CASE     )
          if use_fast and classes[1] is not None:
           snake_case__    							=				classes[1]
          else:
           snake_case__    							=				classes[0]
         else:
          snake_case__    							=				getattr(__SCREAMING_SNAKE_CASE   ,					__SCREAMING_SNAKE_CASE     )

         args.append(attribute_class.from_pretrained(__SCREAMING_SNAKE_CASE   ,					**__SCREAMING_SNAKE_CASE     )     )
        return args

       @property
       def 		_SCREAMING_SNAKE_CASE(			self     ):






        '''simple docstring'''

        snake_case__    							=				getattr(self   ,					self.attributes[0]     )
        return getattr(__SCREAMING_SNAKE_CASE   ,					"model_input_names"   ,					__SCREAMING_SNAKE_CASE     )
a__					:     List[str]							=				copy_func(ProcessorMixin.push_to_hub)
if ProcessorMixin.push_to_hub.__doc__ is not None:
   a__					:     List[Any]							=				ProcessorMixin.push_to_hub.__doc__.format(
       object="""processor""", object_class="""AutoProcessor""", object_files="""processor files"""
   )








"""simple docstring"""


class      lowercase_				:

       def __init__(			self   ,					__SCREAMING_SNAKE_CASE     ):






        '''simple docstring'''

        snake_case__    							=				data
        snake_case__    							=				42
        snake_case__    							=				42





def 							a__			(  _UpperCAmelCase	)    ->  None:

 '''simple docstring'''






 snake_case__    							=				0
 snake_case__    							=				x





def 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase	)    ->  None:

 '''simple docstring'''






 snake_case__							,   snake_case__    							=				find_set(_UpperCAmelCase	), find_set(_UpperCAmelCase	)
 if x == y:
  return

 elif x.rank > y.rank:
  snake_case__    							=				x
 else:
  snake_case__    							=				y
  if x.rank == y.rank:
   y.rank += 1





def 							a__			(  _UpperCAmelCase	)    ->  Node:

 '''simple docstring'''






 if x != x.parent:
  snake_case__    							=				find_set(x.parent	)
 return x.parent





def 							a__			(  _UpperCAmelCase	)    ->  set:

 '''simple docstring'''






 snake_case__    							=				({0, 1, 2}, {3, 4, 5})
 for s in sets:
  if node.data in s:
   return s
 snake_case__    							=				f"{node.data} is not in {sets}"
 raise ValueError(_UpperCAmelCase	)





def 							a__			(  )    ->  None:

 '''simple docstring'''






 snake_case__    							=				[Node(_UpperCAmelCase	) for i in range(6	)]
 for v in vertex:
  make_set(_UpperCAmelCase	)

 union_set(vertex[0]	,     vertex[1]	)
 union_set(vertex[1]	,     vertex[2]	)
 union_set(vertex[3]	,     vertex[4]	)
 union_set(vertex[3]	,     vertex[5]	)

 for nodea in vertex:
  for nodea in vertex:
   if find_python_set(_UpperCAmelCase	).isdisjoint(find_python_set(_UpperCAmelCase	)	):
    assert find_set(_UpperCAmelCase	) != find_set(_UpperCAmelCase	)
   else:
    assert find_set(_UpperCAmelCase	) == find_set(_UpperCAmelCase	)


if __name__ == "__main__":
   test_disjoint_set()

