

from __future__ import annotations

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

UpperCAmelCase__	:       Tuple			      =							TypeVar("""T""", bound=bool)







class     a__    (				Generic[T]    ):







  """simple docstring"""




  def __init__(     self      :	int			,			UpperCAmelCase__      :	T						)   ->None:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: T					       =				value
        SCREAMING_SNAKE_CASE	: RandomizedHeapNode[T] | None					       =				None
        SCREAMING_SNAKE_CASE	: RandomizedHeapNode[T] | None					       =				None


  @property
  def 	_lowercase (     self      :	Union[str, Any]						)   ->T:
        """simple docstring"""







        return self._value




  @staticmethod
  def 	_lowercase (     UpperCAmelCase__      :	RandomizedHeapNode[T] | None			,			UpperCAmelCase__      :	RandomizedHeapNode[T] | None						)   ->RandomizedHeapNode[T] | None:
        """simple docstring"""







        if not roota:
              return roota

        if not roota:
              return roota

        if roota.value > roota.value:
              SCREAMING_SNAKE_CASE	: Union[str, Any]					       =				roota, roota

        if random.choice([True, False]						):
              SCREAMING_SNAKE_CASE	: str					       =				roota.right, roota.left

        SCREAMING_SNAKE_CASE	: List[str]					       =				RandomizedHeapNode.merge(roota.left			,			UpperCAmelCase__						)

        return roota







class     a__    (				Generic[T]    ):







  """simple docstring"""




  def __init__(     self      :	int			,			UpperCAmelCase__      :	Iterable[T] | None = ()						)   ->None:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: RandomizedHeapNode[T] | None					       =				None

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


  def 	_lowercase (     self      :	Optional[int]			,			UpperCAmelCase__      :	T						)   ->None:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: Tuple					       =				RandomizedHeapNode.merge(self._root			,			RandomizedHeapNode(UpperCAmelCase__						)						)


  def 	_lowercase (     self      :	List[str]						)   ->T | None:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: List[str]					       =				self.top()

        if self._root is None:
              return None

        SCREAMING_SNAKE_CASE	: Union[str, Any]					       =				RandomizedHeapNode.merge(self._root.left			,			self._root.right						)

        return result


  def 	_lowercase (     self      :	int						)   ->T:
        """simple docstring"""







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


  def 	_lowercase (     self      :	List[str]						)   ->None:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: Optional[int]					       =				None


  def 	_lowercase (     self      :	List[str]						)   ->list[Any]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: Optional[int]					       =				[]
        while self:
              result.append(self.pop()						)

        return result




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







        return self._root is not None


if __name__ == "__main__":
  import doctest

  doctest.testmod()







import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment







class     a__    (				unittest.TestCase    ):







  """simple docstring"""




  def 	_lowercase (     self      :	Optional[int]						)   ->Tuple:
        """simple docstring"""







        SCREAMING_SNAKE_CASE	: Optional[Any]					       =				inspect.getfile(accelerate.test_utils						)
        SCREAMING_SNAKE_CASE	: int					       =				os.path.sep.join(mod_file.split(os.path.sep						)[:-1] + ["""scripts""", """test_sync.py"""]						)


  @require_cpu
  def 	_lowercase (     self      :	Optional[int]						)   ->str:
        """simple docstring"""







        debug_launcher(test_sync.main			,			num_processes=1						)


  @require_cpu
  def 	_lowercase (     self      :	Optional[int]						)   ->int:
        """simple docstring"""







        debug_launcher(test_sync.main						)


  @require_single_gpu
  def 	_lowercase (     self      :	str						)   ->Any:
        """simple docstring"""







        test_sync.main()




  @require_multi_gpu
  def 	_lowercase (     self      :	Union[str, Any]						)   ->List[Any]:
        """simple docstring"""







        print(f"Found {torch.cuda.device_count()} devices."						)
        SCREAMING_SNAKE_CASE	: List[str]					       =				["""torchrun""", f"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
        with patch_environment(omp_num_threads=1						):
              execute_subprocess_async(UpperCAmelCase__			,			env=os.environ.copy()						)




