






"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_UpperCamelCase		:  Union[str, Any]						=		{'configuration_opt': ['OPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OPTConfig']}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _UpperCamelCase		:  int						=		[
        'OPT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'OPTForCausalLM',
        'OPTModel',
        'OPTPreTrainedModel',
        'OPTForSequenceClassification',
        'OPTForQuestionAnswering',
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _UpperCamelCase		:  Union[str, Any]						=		['TFOPTForCausalLM', 'TFOPTModel', 'TFOPTPreTrainedModel']

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _UpperCamelCase		:  List[Any]						=		[
        'FlaxOPTForCausalLM',
        'FlaxOPTModel',
        'FlaxOPTPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_opt import OPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OPTConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_opt import (
            OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OPTForCausalLM,
            OPTForQuestionAnswering,
            OPTForSequenceClassification,
            OPTModel,
            OPTPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel

else:
    import sys

    _UpperCamelCase		:  str						=		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)










"""simple docstring"""



from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

_UpperCamelCase		:  Any						=		TypeVar('T')

class        a     (   Generic[T]	):







    def __init__(			self							,		_lowerCamelCase       ):
      lowercase							    =       data
      lowercase							    =       None







    def __str__(			self       ):
      return F'{self.data}'


class        a     (   Generic[T]	):







    def __init__(			self       ):
      lowercase							    =       None







    def __iter__(			self       ):
      lowercase							    =       self.top
      while node:
        yield node.data
        lowercase							    =       node.next







    def __str__(			self       ):
      return "->".join([str(_lowerCamelCase       ) for item in self]       )







    def __len__(			self       ):
      return len(tuple(iter(self       )       )       )







    def 			UpperCamelCase_      (			self       ):
      return self.top is None







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      lowercase							    =       Node(_lowerCamelCase       )
      if not self.is_empty():
        lowercase							    =       self.top
      lowercase							    =       node







    def 			UpperCamelCase_      (			self       ):
      if self.is_empty():
        raise IndexError('pop from empty stack'       )
      assert isinstance(self.top							,		_lowerCamelCase       )
      lowercase							    =       self.top
      lowercase							    =       self.top.next
      return pop_node.data







    def 			UpperCamelCase_      (			self       ):
      if self.is_empty():
        raise IndexError('peek from empty stack'       )

      assert self.top is not None
      return self.top.data







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       None


if __name__ == "__main__":
    from doctest import testmod

    testmod()


