

from __future__ import annotations

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

__snake_case							:			List[str]      		= TypeVar("""T""", bound=bool)



class 					A__(Generic[T]       ):
						"""simple docstring"""






						def __init__(						self     ,			_lowercase						)    ->   Dict:
									a_	:	T          =   value
									a_	:	RandomizedHeapNode[T] | None          =   None
									a_	:	RandomizedHeapNode[T] | None          =   None





						@property
						def  UpperCamelCase__				(						self						)    ->   List[Any]:
									return self._value





						@staticmethod
						def  UpperCamelCase__				(						_lowercase     ,			_lowercase						)    ->   Union[str, Any]:



									if not roota:
												return roota

									if not roota:
												return roota

									if roota.value > roota.value:
												a_	:	List[str]          =   roota, roota

									if random.choice([True, False]						):
												a_	:	List[Any]          =   roota.right, roota.left

									a_	:	Optional[Any]          =   RandomizedHeapNode.merge(roota.left     ,			_lowercase						)

									return roota







class 					A__(Generic[T]       ):
						"""simple docstring"""






						def __init__(						self     ,			_lowercase = ()						)    ->   List[str]:
									a_	:	RandomizedHeapNode[T] | None          =   None

									if data:
												for item in data:
															self.insert(_lowercase						)





						def  UpperCamelCase__				(						self     ,			_lowercase						)    ->   Dict:
									a_	:	Optional[int]          =   RandomizedHeapNode.merge(self._root     ,			RandomizedHeapNode(_lowercase						)						)





						def  UpperCamelCase__				(						self						)    ->   Dict:
									a_	:	Tuple          =   self.top()

									if self._root is None:
												return None

									a_	:	Optional[Any]          =   RandomizedHeapNode.merge(self._root.left     ,			self._root.right						)

									return result





						def  UpperCamelCase__				(						self						)    ->   Dict:



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





						def  UpperCamelCase__				(						self						)    ->   str:
									a_	:	Any          =   None





						def  UpperCamelCase__				(						self						)    ->   Union[str, Any]:
									a_	:	List[str]          =   []
									while self:
												result.append(self.pop()						)

									return result





						def __bool__(						self						)    ->   Tuple:
									return self._root is not None


if __name__ == "__main__":
						import doctest

						doctest.testmod()





from dataclasses import dataclass
from typing import Callable, Optional

import datasets



@dataclass
class 					A__(datasets.BuilderConfig       ):
						"""simple docstring"""






						_A						:							Optional[Callable]									= None
						_A						:							Optional[dict]									= None
						_A						:							Optional[datasets.Features]									= None





						def  UpperCamelCase__				(						self						)    ->   Tuple:
									assert self.generator is not None, "generator must be specified"

									if self.gen_kwargs is None:
												a_	:	Tuple          =   {}







class 					A__(datasets.GeneratorBasedBuilder       ):
						"""simple docstring"""






						_A						:							Dict									= GeneratorConfig





						def  UpperCamelCase__				(						self						)    ->   List[Any]:
									return datasets.DatasetInfo(features=self.config.features						)





						def  UpperCamelCase__				(						self     ,			_lowercase						)    ->   List[Any]:
									return [datasets.SplitGenerator(name=datasets.Split.TRAIN     ,			gen_kwargs=self.config.gen_kwargs						)]





						def  UpperCamelCase__				(						self     ,			**_lowercase						)    ->   Tuple:
									for idx, ex in enumerate(self.config.generator(**_lowercase						)						):
												yield idx, ex


