





from __future__ import annotations

from typing import Generic, TypeVar

UpperCAmelCase_												=   TypeVar("""T""")
class 	UpperCamelCase_						(     __UpperCAmelCase    ):
					pass





class 	UpperCamelCase_						(     __UpperCAmelCase    ):
					pass





class 	UpperCamelCase_						(     Generic[T]    ):




					def __init__(						self ,  lowerCAmelCase_ = 10     )						->							int:
										_snake_case													= []
										_snake_case													= limit




					def __bool__(						self     )						->							Any:
										return bool(self.stack     )




					def __str__(						self     )						->							Tuple:
										return str(self.stack     )




					def 		lowerCAmelCase	(						self ,  lowerCAmelCase_     )						->							Union[str, Any]:
										if len(self.stack     ) >= self.limit:
															raise StackOverflowError
										self.stack.append(_lowerCamelCase     )




					def 		lowerCAmelCase	(						self     )						->							List[Any]:
										if not self.stack:
															raise StackUnderflowError
										return self.stack.pop()




					def 		lowerCAmelCase	(						self     )						->							Optional[int]:
										if not self.stack:
															raise StackUnderflowError
										return self.stack[-1]




					def 		lowerCAmelCase	(						self     )						->							str:
										return not bool(self.stack     )




					def 		lowerCAmelCase	(						self     )						->							List[str]:
										return self.size() == self.limit




					def 		lowerCAmelCase	(						self     )						->							Optional[Any]:
										return len(self.stack     )






					def __contains__(						self ,  lowerCAmelCase_     )						->							Union[str, Any]:
										return item in self.stack





def   lowerCamelCase__   (   )	->       Optional[int]:



					'''simple docstring'''




					_snake_case													= Stack(10  )
					assert bool(lowercase_  ) is False
					assert stack.is_empty() is True
					assert stack.is_full() is False
					assert str(lowercase_  ) == "[]"

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

					try:
										_snake_case													= 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(lowercase_  )

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

					stack.push(100  )
					assert str(lowercase_  ) == 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()










"""simple docstring"""





from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
    from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore





class 			snake_case		(   __UpperCAmelCase   ):
      lowerCamelCase__						= c_float

      @property
      def 						SCREAMING_SNAKE_CASE_			(			self   :Optional[Any]						):
       return sizeof(self.value						)







def 		lowerCAmelCase_	(  lowercase_   :							int ,      lowercase_   :							int ,      lowercase_   :							int = 0		):

 '''simple docstring'''






 if dimension <= 0:
  __SCREAMING_SNAKE_CASE :			str												=       fixed_dimension

 dimension -= num_token_to_add
 return dimension




def 		lowerCAmelCase_	(  lowercase_   :							int ,      lowercase_   :							ParameterFormat		):

 '''simple docstring'''






 return num_parameters * dtype.size






def 		lowerCAmelCase_	(  lowercase_   :							str		):

 '''simple docstring'''






 from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

 try:
  return AutoProcessor.from_pretrained(lowercase_		)
 except (ValueError, OSError, KeyError):
  __SCREAMING_SNAKE_CASE							,      __SCREAMING_SNAKE_CASE :			int												=       None, None
  try:
   __SCREAMING_SNAKE_CASE :			Optional[Any]												=       AutoTokenizer.from_pretrained(lowercase_		)
  except (OSError, KeyError):
   pass
  try:
   __SCREAMING_SNAKE_CASE :			Optional[Any]												=       AutoFeatureExtractor.from_pretrained(lowercase_		)
  except (OSError, KeyError):
   pass

  if tokenizer is not None and feature_extractor is not None:
   raise ValueError(
       F'''Couldn\'t auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor.'''		)
  elif tokenizer is None and feature_extractor is None:
   return None
  elif tokenizer is not None:
   return tokenizer
  else:
   return feature_extractor

