"""simple docstring"""


from __future__ import annotations

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

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




class 					UpperCamelCase   (							Generic[T]  ):







       def __init__(					self,				lowerCAmelCase__) -> None:
            snake_case_   			=   value
            snake_case_   			=   None
            snake_case_   			=   None







       @property
       def 						a_		(					self) -> T:
            return self._value







       @staticmethod
       def 						a_		(					lowerCAmelCase__,				lowerCAmelCase__) -> RandomizedHeapNode[T] | None:
            if not roota:
                 return roota

            if not roota:
                 return roota

            if roota.value > roota.value:
                 snake_case_   			=   roota, roota

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

            snake_case_   			=   RandomizedHeapNode.merge(roota.left,				lowerCAmelCase__)

            return roota




class 					UpperCamelCase   (							Generic[T]  ):







       def __init__(					self,				lowerCAmelCase__ = ()) -> None:
            snake_case_   			=   None

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







       def 						a_		(					self,				lowerCAmelCase__) -> None:
            snake_case_   			=   RandomizedHeapNode.merge(self._root,				RandomizedHeapNode(lowerCAmelCase__))







       def 						a_		(					self) -> T | None:
            snake_case_   			=   self.top()

            if self._root is None:
                 return None

            snake_case_   			=   RandomizedHeapNode.merge(self._root.left,				self._root.right)

            return result







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







       def 						a_		(					self) -> None:
            snake_case_   			=   None







       def 						a_		(					self) -> list[Any]:
            snake_case_   			=   []
            while self:
                 result.append(self.pop())

            return result







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


if __name__ == "__main__":
    import doctest

    doctest.testmod()








'''simple docstring'''







import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
					snake_case_  :							Union[str, Any]            =	[]

					snake_case_  :							List[Any]            =	os.path.join("tests", "models", "**", "test_modeling_*.py")
					snake_case_  :							int            =	glob.glob(pattern)
					# TODO: deal with TF/Flax too
					snake_case_  :							Optional[int]            =	[
					    x for x in test_files if not (x.startswith("test_modeling_tf_") or x.startswith("test_modeling_flax_"))
					]

					for test_file in test_files:
										snake_case_  :							Any            =	get_tester_classes(test_file)
										for tester_class in tester_classes:
															# A few tester classes don't have `parent` parameter in `__init__`.
															# TODO: deal this better
															try:
																				snake_case_  :							Tuple            =	tester_class(parent=None)
															except Exception:
																				continue
															if hasattr(tester, "get_config"):
																				snake_case_  :							Any            =	tester.get_config()
																				for k, v in config.to_dict().items():
																									if isinstance(v, int):
																														snake_case_  :							int            =	None
																														if k in ["vocab_size"]:
																																			snake_case_  :							Optional[Any]            =	1_00
																														elif k in ["max_position_embeddings"]:
																																			snake_case_  :							Any            =	1_28
																														elif k in ["hidden_size", "d_model"]:
																																			snake_case_  :							str            =	40
																														elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
																																			snake_case_  :							str            =	5
																														if target is not None and v > target:
																																			failures.append(
																																			    f'''{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`'''
																																			    f''' with config["{k}"] = {v} which is too large for testing! Set its value to be smaller'''
																																			    f''' than {target}.'''
																																			)

					if len(failures) > 0:
										raise Exception(f'''There were {len(failures)} failures:\n''' + "\n".join(failures))





