





from __future__ import annotations

from typing import Generic, TypeVar

snake_case__   :				str						=	TypeVar('T')





class A_   (     _lowerCamelCase  ):
   pass





class A_   (     _lowerCamelCase  ):
   pass





class A_   (     Generic[T]  ):




   def __init__(self      :str       ,  _UpperCamelCase      :int = 10					)->   int:
         __A			  =							[]
         __A			  =							limit




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




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




   def _lowerCAmelCase (self      :Union[str, Any]       ,  _UpperCamelCase      :T					)->   None:
         if len(self.stack					) >= self.limit:
               raise StackOverflowError
         self.stack.append(_UpperCamelCase					)




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




   def _lowerCAmelCase (self      :Union[str, Any]					)->   T:
         if not self.stack:
               raise StackUnderflowError
         return self.stack[-1]




   def _lowerCAmelCase (self      :Union[str, Any]					)->   bool:
         return not bool(self.stack					)




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




   def _lowerCAmelCase (self      :List[str]					)->   int:
         return len(self.stack					)






   def __contains__(self      :List[Any]       ,  _UpperCamelCase      :T					)->   bool:
         return item in self.stack





def _a							(      )      ->		None:







      '''simple docstring'''






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

      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(lowerCamelCase					)

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

      stack.push(1_00					)
      assert str(lowerCamelCase					) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 1_00]					)

      try:
            stack.push(2_00					)
            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()












from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


snake_case__   :				Dict						=	{
    'configuration_videomae': ['VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VideoMAEConfig'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case__   :				Any						=	[
           'VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST',
           'VideoMAEForPreTraining',
           'VideoMAEModel',
           'VideoMAEPreTrainedModel',
           'VideoMAEForVideoClassification',
       ]

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case__   :				str						=	['VideoMAEFeatureExtractor']
       snake_case__   :				Tuple						=	['VideoMAEImageProcessor']

if TYPE_CHECKING:
       from .configuration_videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_videomae import (
                  VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  VideoMAEForPreTraining,
                  VideoMAEForVideoClassification,
                  VideoMAEModel,
                  VideoMAEPreTrainedModel,
              )

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_videomae import VideoMAEFeatureExtractor
              from .image_processing_videomae import VideoMAEImageProcessor

else:
       import sys

       snake_case__   :				Optional[Any]						=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





