code: 
  
  
  
  
  
  
  from __future__ import annotations
  
  from typing import Generic, TypeVar
  
  SCREAMING_SNAKE_CASE__		:       List[str]   							=							TypeVar("""T""")
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     (		__lowerCamelCase		):
  					pass
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     (		__lowerCamelCase		):
  					pass
  
  
  
  
  
  
  
  class 							UpperCAmelCase_     (		Generic[T]		):
  
  
  
  
  					def __init__(							self  ,	_lowerCAmelCase = 10		):
  										UpperCAmelCase__			:     list[T]										= []
  										UpperCAmelCase__			:     Tuple										= limit
  
  
  
  
  					def __bool__(							self		):
  										return bool(self.stack		)
  
  
  
  
  					def __str__(							self		):
  										return str(self.stack		)
  
  
  
  
  					def      __UpperCAmelCase     (							self  ,	_lowerCAmelCase		):
  										if len(self.stack		) >= self.limit:
  															raise StackOverflowError
  										self.stack.append(_lowerCAmelCase		)
  
  
  
  
  					def      __UpperCAmelCase     (							self		):
  										if not self.stack:
  															raise StackUnderflowError
  										return self.stack.pop()
  
  
  
  
  					def      __UpperCAmelCase     (							self		):
  										if not self.stack:
  															raise StackUnderflowError
  										return self.stack[-1]
  
  
  
  
  					def      __UpperCAmelCase     (							self		):
  										return not bool(self.stack		)
  
  
  
  
  					def      __UpperCAmelCase     (							self		):
  										return self.size() == self.limit
  
  
  
  
  					def      __UpperCAmelCase     (							self		):
  										return len(self.stack		)
  
  
  
  
  					def __contains__(							self  ,	_lowerCAmelCase		):
  										return item in self.stack
  
  
  
  
  
  def    _lowerCamelCase	(	)   -> None:
  
  					'''simple docstring'''
  					UpperCAmelCase__			:     Stack[int]										= Stack(10					)
  					assert bool(__lowerCamelCase					) is False
  					assert stack.is_empty() is True
  					assert stack.is_full() is False
  					assert str(__lowerCamelCase					) == "[]"
  
  					try:
  										UpperCAmelCase__			:     Dict										= stack.pop()
  										raise AssertionError  # This should not happen
  					except StackUnderflowError:
  										assert True  # This should happen
  
  					try:
  										UpperCAmelCase__			:     Union[str, Any]										= 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(100					)
  					assert str(__lowerCamelCase					) == 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()
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  SCREAMING_SNAKE_CASE__		:       Any   							=							{"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}
  
  
  try:
        if not is_torch_available():
              raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
        pass
  else:
        SCREAMING_SNAKE_CASE__		:       str   							=							[
            """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
            """DinatForImageClassification""",
            """DinatModel""",
            """DinatPreTrainedModel""",
            """DinatBackbone""",
        ]
  
  if TYPE_CHECKING:
        from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
  
        try:
              if not is_torch_available():
                    raise OptionalDependencyNotAvailable()
        except OptionalDependencyNotAvailable:
              pass
        else:
              from .modeling_dinat import (
                  DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DinatBackbone,
                  DinatForImageClassification,
                  DinatModel,
                  DinatPreTrainedModel,
              )
  
  else:
        import sys
  
        SCREAMING_SNAKE_CASE__		:       Dict   							=							_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
  
  
  
  
  
  