"""simple docstring"""


from __future__ import annotations

from typing import Generic, TypeVar

__A       			=      TypeVar("""T""")






class 					a					(				A_							):
  pass






class 					a					(				A_							):
  pass






class 					a					(				Generic[T]							):



  def __init__(		self   :    Tuple						,  lowerCamelCase_   :    int = 10     )      -> Any:
      __a			      =						[]
      __a			      =						limit



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



  def __str__(		self   :    Optional[Any]     )      -> str:
      return str(self.stack     )



  def        lowerCAmelCase_				(		self   :    List[str]						,  lowerCamelCase_   :    T     )      -> None:
      if len(self.stack     ) >= self.limit:
          raise StackOverflowError
      self.stack.append(lowerCamelCase_     )



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



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



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



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



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



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

def 						UpperCamelCase				(	):
    __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(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()

"""simple docstring"""


from typing import TYPE_CHECKING

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


__A       			=      {
    """configuration_realm""": ["""REALM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RealmConfig"""],
    """tokenization_realm""": ["""RealmTokenizer"""],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A       			=      ["""RealmTokenizerFast"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A       			=      [
     """REALM_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """RealmEmbedder""",
     """RealmForOpenQA""",
     """RealmKnowledgeAugEncoder""",
     """RealmPreTrainedModel""",
     """RealmReader""",
     """RealmScorer""",
     """load_tf_weights_in_realm""",
 ]
 __A       			=      ["""RealmRetriever"""]


if TYPE_CHECKING:
 from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
 from .tokenization_realm import RealmTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_realm import RealmTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_realm import (
      REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
      RealmEmbedder,
      RealmForOpenQA,
      RealmKnowledgeAugEncoder,
      RealmPreTrainedModel,
      RealmReader,
      RealmScorer,
      load_tf_weights_in_realm,
  )
  from .retrieval_realm import RealmRetriever


else:
 import sys

 __A       			=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
