





'''simple docstring'''

from __future__ import annotations

from typing import Generic, TypeVar

lowercase_         =			TypeVar("""T""")


class  a_					(    snake_case_	):

    '''simple docstring'''
    pass




class  a_					(    snake_case_	):

    '''simple docstring'''
    pass




class  a_					(    Generic[T]	):

    '''simple docstring'''


    def __init__(		self			,		A = 10	)		->       Optional[Any]:
        _SCREAMING_SNAKE_CASE     =      []
        _SCREAMING_SNAKE_CASE     =      limit


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


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


    def       snake_case_(		self			,		A	)		->       None:
        if len(self.stack	) >= self.limit:
            raise StackOverflowError
        self.stack.append(A	)


    def       snake_case_(		self	)		->       T:
        if not self.stack:
            raise StackUnderflowError
        return self.stack.pop()


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


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


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


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





    def __contains__(		self			,		A	)		->       bool:
        return item in self.stack





def lowerCamelCase						(					)						->None:
    _SCREAMING_SNAKE_CASE     =      Stack(10   )
    assert bool(__lowerCamelCase   ) is False
    assert stack.is_empty() is True
    assert stack.is_full() is False
    assert str(__lowerCamelCase   ) == "[]"

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

    try:
        _SCREAMING_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(__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_tf_available, is_torch_available


lowercase_         =			{
    """configuration_esm""": ["""ESM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """EsmConfig"""],
    """tokenization_esm""": ["""EsmTokenizer"""],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_         =			[
          """ESM_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """EsmForMaskedLM""",
          """EsmForSequenceClassification""",
          """EsmForTokenClassification""",
          """EsmModel""",
          """EsmPreTrainedModel""",
      ]
      lowercase_         =			["""EsmForProteinFolding""", """EsmFoldPreTrainedModel"""]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_         =			[
          """TF_ESM_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """TFEsmForMaskedLM""",
          """TFEsmForSequenceClassification""",
          """TFEsmForTokenClassification""",
          """TFEsmModel""",
          """TFEsmPreTrainedModel""",
      ]

if TYPE_CHECKING:
      from .configuration_esm import ESM_PRETRAINED_CONFIG_ARCHIVE_MAP, EsmConfig
      from .tokenization_esm import EsmTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_esm import (
                ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
                EsmForMaskedLM,
                EsmForSequenceClassification,
                EsmForTokenClassification,
                EsmModel,
                EsmPreTrainedModel,
            )
            from .modeling_esmfold import EsmFoldPreTrainedModel, EsmForProteinFolding

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_esm import (
                TF_ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFEsmForMaskedLM,
                TFEsmForSequenceClassification,
                TFEsmForTokenClassification,
                TFEsmModel,
                TFEsmPreTrainedModel,
            )


else:
      import sys

      lowercase_         =			_LazyModule(__name__, globals()["""__file__"""], _import_structure)



