



"""simple docstring"""





from __future__ import annotations

from random import random




class 			lowercase__			:
							'''simple docstring'''







							def __init__(  self	,       snake_case = None						)			->							List[str]:
									_UpperCAmelCase							 =		value
									_UpperCAmelCase							 =		random()
									_UpperCAmelCase							 =		None
									_UpperCAmelCase							 =		None






							def __repr__(  self						)			->							str:
									from pprint import pformat

									if self.left is None and self.right is None:
											return f'\'{self.value}: {self.prior:.5}\''
									else:
											return pformat(
											    {f'{self.value}: {self.prior:.5}': (self.left, self.right)}	,       indent=1						)






							def __str__(  self						)			->							str:
									_UpperCAmelCase							 =		str(self.value						) + ' '
									_UpperCAmelCase							 =		str(self.left or ''						)
									_UpperCAmelCase							 =		str(self.right or ''						)
									return value + left + right







def 	UpperCAmelCase     (		A	:						Node | None     ,				A	:						int       ):

		'''simple docstring'''


		if root is None:  # None tree is split into 2 Nones
				return None, None
		elif root.value is None:
				return None, None
		else:
				if value < root.value:
						_UpperCAmelCase ,					_UpperCAmelCase							 =		split(root.left     ,				A       )
						return left, root
				else:
						_UpperCAmelCase ,					_UpperCAmelCase							 =		split(root.right     ,				A       )
						return root, right




def 	UpperCAmelCase     (		A	:						Node | None     ,				A	:						Node | None       ):

		'''simple docstring'''


		if (not left) or (not right):  # If one node is None, return the other
				return left or right
		elif left.prior < right.prior:
				_UpperCAmelCase							 =		merge(left.right     ,				A       )
				return left
		else:
				_UpperCAmelCase							 =		merge(A     ,				right.left       )
				return right




def 	UpperCAmelCase     (		A	:						Node | None     ,				A	:						int       ):

		'''simple docstring'''


		_UpperCAmelCase							 =		Node(A       )
		_UpperCAmelCase ,					_UpperCAmelCase							 =		split(A     ,				A       )
		return merge(merge(A     ,				A       )     ,				A       )




def 	UpperCAmelCase     (		A	:						Node | None     ,				A	:						int       ):

		'''simple docstring'''


		_UpperCAmelCase ,					_UpperCAmelCase							 =		split(A     ,				value - 1       )
		_UpperCAmelCase ,					_UpperCAmelCase							 =		split(A     ,				A       )
		return merge(A     ,				A       )




def 	UpperCAmelCase     (		A	:						Node | None       ):

		'''simple docstring'''


		if not root:  # None
				return
		else:
				inorder(root.left       )
				print(root.value     ,				end=','       )
				inorder(root.right       )




def 	UpperCAmelCase     (		A	:						Node | None     ,				A	:						str       ):

		'''simple docstring'''


		for arg in args.split():
				if arg[0] == "+":
						_UpperCAmelCase							 =		insert(A     ,				int(arg[1:]       )       )

				elif arg[0] == "-":
						_UpperCAmelCase							 =		erase(A     ,				int(arg[1:]       )       )

				else:
						print('Unknown command'       )

		return root




def 	UpperCAmelCase     (		):

		'''simple docstring'''


		_UpperCAmelCase							 =		None
		print(
		    'enter numbers to create a tree, + value to add value into treap, '
		    '- value to erase all nodes with value. \'q\' to quit. '       )

		_UpperCAmelCase							 =		input()
		while args != "q":
				_UpperCAmelCase							 =		interact_treap(A     ,				A       )
				print(A       )
				_UpperCAmelCase							 =		input()

		print('good by!'       )


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()







"""simple docstring"""





from typing import List, Optional, TypeVar

from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interleave_iterable_datasets
from .splits import NamedSplit
from .utils import logging
from .utils.py_utils import Literal


lowercase  							=					logging.get_logger(__name__)


lowercase  							=					TypeVar('''DatasetType''', Dataset, IterableDataset)




def 	UpperCAmelCase     (		A	:						List[DatasetType]     ,				A	:						Optional[List[float]] = None     ,				A	:						Optional[int] = None     ,				A	:						Optional[DatasetInfo] = None     ,				A	:						Optional[NamedSplit] = None     ,				A	:						Literal["first_exhausted", "all_exhausted"] = "first_exhausted"     ,				):

		'''simple docstring'''


		from .arrow_dataset import Dataset
		from .iterable_dataset import IterableDataset

		if not datasets:
				raise ValueError('Unable to interleave an empty list of datasets.'       )
		for i, dataset in enumerate(A       ):
				if not isinstance(A     ,				(Dataset, IterableDataset)       ):
						if isinstance(A     ,				(DatasetDict, IterableDatasetDict)       ):
								if not dataset:
										raise ValueError(
										    f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '
										    'is an empty dataset dictionary.'       )
								raise ValueError(
								    f'Dataset at position {i} has at least one split: {list(A       )}\n'
								    f'Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(A       )       )}\']'       )
						raise ValueError(
						    f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(A       ).__name__}.'       )
				if i == 0:
						_UpperCAmelCase ,					_UpperCAmelCase							 =		(
						    (Dataset, IterableDataset) if isinstance(A     ,				A       ) else (IterableDataset, Dataset)
						)
				elif not isinstance(A     ,				A       ):
						raise ValueError(
						    f'Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.'       )
		if stopping_strategy not in ["first_exhausted", "all_exhausted"]:
				raise ValueError(f'{stopping_strategy} is not supported. Please enter a valid stopping_strategy.'       )
		if dataset_type is Dataset:
				return _interleave_map_style_datasets(
				    A     ,				A     ,				A     ,				info=A     ,				split=A     ,				stopping_strategy=A       )
		else:
				return _interleave_iterable_datasets(
				    A     ,				A     ,				A     ,				info=A     ,				split=A     ,				stopping_strategy=A       )






def 	UpperCAmelCase     (		A	:						List[DatasetType]     ,				A	:						Optional[DatasetInfo] = None     ,				A	:						Optional[NamedSplit] = None     ,				A	:						int = 0     ,				):

		'''simple docstring'''


		if not dsets:
				raise ValueError('Unable to concatenate an empty list of datasets.'       )
		for i, dataset in enumerate(A       ):
				if not isinstance(A     ,				(Dataset, IterableDataset)       ):
						if isinstance(A     ,				(DatasetDict, IterableDatasetDict)       ):
								if not dataset:
										raise ValueError(
										    f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '
										    'is an empty dataset dictionary.'       )
								raise ValueError(
								    f'Dataset at position {i} has at least one split: {list(A       )}\n'
								    f'Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(A       )       )}\']'       )
						raise ValueError(
						    f'Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(A       ).__name__}.'       )
				if i == 0:
						_UpperCAmelCase ,					_UpperCAmelCase							 =		(
						    (Dataset, IterableDataset) if isinstance(A     ,				A       ) else (IterableDataset, Dataset)
						)
				elif not isinstance(A     ,				A       ):
						raise ValueError(
						    f'Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.'       )
		if dataset_type is Dataset:
				return _concatenate_map_style_datasets(A     ,				info=A     ,				split=A     ,				axis=A       )
		else:
				return _concatenate_iterable_datasets(A     ,				info=A     ,				split=A     ,				axis=A       )


