






'''simple docstring'''






from __future__ import annotations

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

__A     						= TypeVar('''T''', bound=bool)




class a_     (     Generic[T]				):







   def __init__(self       , __a)      ->   None:
      """simple docstring"""






      __snake_case					:   T  				=			value
      __snake_case					:   SkewNode[T] | None  				=			None
      __snake_case					:   SkewNode[T] | None  				=			None







   @property
   def      SCREAMING_SNAKE_CASE__       (self)      ->   T:
      """simple docstring"""






      return self._value







   @staticmethod
   def      SCREAMING_SNAKE_CASE__       (__a       , __a)      ->   SkewNode[T] | None:
      """simple docstring"""






      if not roota:
         return roota

      if not roota:
         return roota

      if roota.value > roota.value:
         __snake_case				,__snake_case					:   Optional[Any]  				=			roota, roota

      __snake_case					:   int  				=			roota
      __snake_case					:   Dict  				=			roota.right
      __snake_case					:   Any  				=			roota.left
      __snake_case					:   List[Any]  				=			SkewNode.merge(__a       , __a)

      return result




class a_     (     Generic[T]				):







   def __init__(self       , __a = ())      ->   None:
      """simple docstring"""






      __snake_case					:   SkewNode[T] | None  				=			None
      if data:
         for item in data:
            self.insert(__a)







   def __bool__(self)      ->   bool:
      """simple docstring"""






      return self._root is not None







   def __iter__(self)      ->   Iterator[T]:
      """simple docstring"""






      __snake_case					:   list[Any]  				=			[]
      while self:
         result.append(self.pop())

      # Pushing items back to the heap not to clear it.
      for item in result:
         self.insert(__a)

      return iter(__a)







   def      SCREAMING_SNAKE_CASE__       (self       , __a)      ->   None:
      """simple docstring"""






      __snake_case					:   Optional[Any]  				=			SkewNode.merge(self._root       , SkewNode(__a))







   def      SCREAMING_SNAKE_CASE__       (self)      ->   T | None:
      """simple docstring"""






      __snake_case					:   Union[str, Any]  				=			self.top()
      __snake_case					:   List[Any]  				=			(
          SkewNode.merge(self._root.left       , self._root.right) if self._root else None
      )

      return result







   def      SCREAMING_SNAKE_CASE__       (self)      ->   T:
      """simple docstring"""






      if not self._root:
         raise IndexError('Can\'t get top element for the empty heap.')
      return self._root.value







   def      SCREAMING_SNAKE_CASE__       (self)      ->   None:
      """simple docstring"""






      __snake_case					:   Dict  				=			None


if __name__ == "__main__":
      import doctest

      doctest.testmod()







'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A     						= {
    '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
    '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __A     						= [
          '''PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ProphetNetDecoder''',
          '''ProphetNetEncoder''',
          '''ProphetNetForCausalLM''',
          '''ProphetNetForConditionalGeneration''',
          '''ProphetNetModel''',
          '''ProphetNetPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
      from .tokenization_prophetnet import ProphetNetTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_prophetnet import (
                PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                ProphetNetDecoder,
                ProphetNetEncoder,
                ProphetNetForCausalLM,
                ProphetNetForConditionalGeneration,
                ProphetNetModel,
                ProphetNetPreTrainedModel,
            )

else:
      import sys

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