



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


__snake_case		:Any 						=	logging.get_logger(__name__)

# Dynamically import the Transformers module to grab the attribute classes of the processor form their names.
__snake_case		:Dict 						=	direct_transformers_import(Path(__file__).parent)


__snake_case		:str 						=	{
    '''AutoTokenizer''': '''PreTrainedTokenizerBase''',
    '''AutoFeatureExtractor''': '''FeatureExtractionMixin''',
    '''AutoImageProcessor''': '''ImageProcessingMixin''',
}

class        _A			(      __UpperCAmelCase       ):
       UpperCamelCase__    :       Dict		   =		['''feature_extractor''', '''tokenizer''']
       # Names need to be attr_class for attr in attributes
       UpperCamelCase__    :       Any		   =		None
       UpperCamelCase__    :       Union[str, Any]		   =		None
       UpperCamelCase__    :       List[Any]		   =		None



       def __init__(						self				:	Optional[int]	,						*__SCREAMING_SNAKE_CASE				:	int	,						**__SCREAMING_SNAKE_CASE				:	Tuple):


           '''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:
                   __a					=							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():
               __a					=							getattr(self	,						F'{attribute_name}_class')
               # Nothing is ever going to be an instance of "AutoXxx", in that case we check the base class.
               __a					=							AUTO_TO_BASE_CLASS_MAPPING.get(__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE)
               if isinstance(__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE):
                   __a					=							tuple(getattr(__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE) for n in class_name if n is not None)
               else:
                   __a					=							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				:	List[Any]):


           '''simple docstring'''

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



       def 						_lowerCamelCase     (						self				:	List[str]	,						__SCREAMING_SNAKE_CASE				:	Any	,						__SCREAMING_SNAKE_CASE				:	bool = False	,						**__SCREAMING_SNAKE_CASE				:	Optional[Any]):


           '''simple docstring'''

           os.makedirs(__SCREAMING_SNAKE_CASE	,						exist_ok=__SCREAMING_SNAKE_CASE)

           if push_to_hub:
               __a					=							kwargs.pop('''commit_message'''	,						__SCREAMING_SNAKE_CASE)
               __a					=							kwargs.pop('''repo_id'''	,						save_directory.split(os.path.sep)[-1])
               __a					=							self._create_repo(__SCREAMING_SNAKE_CASE	,						**__SCREAMING_SNAKE_CASE)
               __a					=							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:
               __a					=							[getattr(self	,						__SCREAMING_SNAKE_CASE) for attribute_name in self.attributes]
               __a					=							[(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:
               __a					=							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:
                   __a					=							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 						_lowerCamelCase     (						cls				:	Optional[Any]	,						__SCREAMING_SNAKE_CASE				:	Union[str, os.PathLike]	,						__SCREAMING_SNAKE_CASE				:	Optional[Union[str, os.PathLike]] = None	,						__SCREAMING_SNAKE_CASE				:	bool = False	,						__SCREAMING_SNAKE_CASE				:	bool = False	,						__SCREAMING_SNAKE_CASE				:	Optional[Union[str, bool]] = None	,						__SCREAMING_SNAKE_CASE				:	str = "main"	,						**__SCREAMING_SNAKE_CASE				:	int	,						):


           '''simple docstring'''

           __a					=							cache_dir
           __a					=							force_download
           __a					=							local_files_only
           __a					=							revision

           __a					=							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`.''')
               __a					=							use_auth_token

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

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



       @classmethod
       def 						_lowerCamelCase     (						cls				:	List[Any]	,						__SCREAMING_SNAKE_CASE				:	Optional[Any]="AutoProcessor"):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE):
               __a					=							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.')

           __a					=							auto_class



       @classmethod
       def 						_lowerCamelCase     (						cls				:	Union[str, Any]	,						__SCREAMING_SNAKE_CASE				:	List[Any]	,						**__SCREAMING_SNAKE_CASE				:	List[str]):


           '''simple docstring'''

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

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





       @property
       def 						_lowerCamelCase     (						self				:	Any):


           '''simple docstring'''

           __a					=							getattr(self	,						self.attributes[0])
           return getattr(__SCREAMING_SNAKE_CASE	,						'''model_input_names'''	,						__SCREAMING_SNAKE_CASE)


__snake_case		:Dict 						=	copy_func(ProcessorMixin.push_to_hub)
if ProcessorMixin.push_to_hub.__doc__ is not None:
 __snake_case		:Union[str, Any] 						=	ProcessorMixin.push_to_hub.__doc__.format(
     object='''processor''', object_class='''AutoProcessor''', object_files='''processor files'''
 )










from __future__ import annotations

from typing import Generic, TypeVar

__snake_case		:str 						=	TypeVar('''T''')

class        _A			(      __UpperCAmelCase       ):
       pass


class        _A			(      __UpperCAmelCase       ):
       pass


class        _A			(      Generic[T]       ):



       def __init__(						self				:	List[Any]	,						__SCREAMING_SNAKE_CASE				:	int = 10):


           '''simple docstring'''

           __a					=							[]
           __a					=							limit



       def __bool__(						self				:	List[Any]):


           '''simple docstring'''

           return bool(self.stack)



       def __str__(						self				:	Any):


           '''simple docstring'''

           return str(self.stack)



       def 						_lowerCamelCase     (						self				:	List[Any]	,						__SCREAMING_SNAKE_CASE				:	T):


           '''simple docstring'''

           if len(self.stack) >= self.limit:
               raise StackOverflowError
           self.stack.append(__SCREAMING_SNAKE_CASE)



       def 						_lowerCamelCase     (						self				:	str):


           '''simple docstring'''

           if not self.stack:
               raise StackUnderflowError
           return self.stack.pop()



       def 						_lowerCamelCase     (						self				:	Optional[Any]):


           '''simple docstring'''

           if not self.stack:
               raise StackUnderflowError
           return self.stack[-1]



       def 						_lowerCamelCase     (						self				:	Union[str, Any]):


           '''simple docstring'''

           return not bool(self.stack)



       def 						_lowerCamelCase     (						self				:	Tuple):


           '''simple docstring'''

           return self.size() == self.limit



       def 						_lowerCamelCase     (						self				:	Union[str, Any]):


           '''simple docstring'''

           return len(self.stack)





       def __contains__(						self				:	int	,						__SCREAMING_SNAKE_CASE				:	T):


           '''simple docstring'''

           return item in self.stack





def 	__snake_case      (     ):
    __a					=							Stack(10							)
    assert bool(_UpperCAmelCase							) is False
    assert stack.is_empty() is True
    assert stack.is_full() is False
    assert str(_UpperCAmelCase							) == "[]"

    try:
        __a					=							stack.pop()
        raise AssertionError  # This should not happen
    except StackUnderflowError:
        assert True  # This should happen

    try:
        __a					=							stack.peek()
        raise AssertionError  # This should not happen
    except StackUnderflowError:
        assert True  # This should happen

    for i in range(10							):
        assert stack.size() == i
        stack.push(_UpperCAmelCase							)

    assert bool(_UpperCAmelCase							)
    assert not stack.is_empty()
    assert stack.is_full()
    assert str(_UpperCAmelCase							) == str(list(range(10							)							)							)
    assert stack.pop() == 9
    assert stack.peek() == 8

    stack.push(100							)
    assert str(_UpperCAmelCase							) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 100]							)

    try:
        stack.push(200							)
        raise AssertionError  # This should not happen
    except StackOverflowError:
        assert True  # This should happen

    assert not stack.is_empty()
    assert stack.size() == 10

    assert 5 in stack
    assert 55 not in stack


if __name__ == "__main__":
 test_stack()





