




from __future__ import annotations

from typing import Generic, TypeVar

UpperCAmelCase__						:       int							=    TypeVar('T')

class      UpperCAmelCase						(			A   ):
   pass

class      UpperCAmelCase						(			A   ):
   pass

class      UpperCAmelCase						(			Generic[T]   ):






   def __init__(	self   :       Optional[int]						,					UpperCamelCase_   :       int = 10     )->			str:
     _lowercase: list[T]						     =    []
     _lowercase: str						     =    limit






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






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






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






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






   def  _a						(	self   :       List[str]     )->			T:
     if not self.stack:
       raise StackUnderflowError
     return self.stack[-1]






   def  _a						(	self   :       Tuple     )->			bool:
     return not bool(self.stack     )






   def  _a						(	self   :       Any     )->			bool:
     return self.size() == self.limit






   def  _a						(	self   :       int     )->			int:
     return len(self.stack     )






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


def 		_lowerCamelCase				(					)			->		None:





  """simple docstring"""





  _lowercase: Stack[int]						     =    Stack(10							)
  assert bool(UpperCamelCase							) is False
  assert stack.is_empty() is True
  assert stack.is_full() is False
  assert str(UpperCamelCase							) == "[]"

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

  try:
    _lowercase: 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(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()






from typing import TYPE_CHECKING

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


UpperCAmelCase__						:       Union[str, Any]							=    {'configuration_bert_generation': ['BertGenerationConfig']}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase__						:       str							=    ['BertGenerationTokenizer']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase__						:       Tuple							=    [
       'BertGenerationDecoder',
       'BertGenerationEncoder',
       'BertGenerationPreTrainedModel',
       'load_tf_weights_in_bert_generation',
   ]


if TYPE_CHECKING:
   from .configuration_bert_generation import BertGenerationConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_bert_generation import BertGenerationTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_bert_generation import (
          BertGenerationDecoder,
          BertGenerationEncoder,
          BertGenerationPreTrainedModel,
          load_tf_weights_in_bert_generation,
      )

else:
   import sys

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