




from collections.abc import Iterable
from typing import Any




class 					snake_case__							:
				"""simple docstring"""



				def __init__(   self       :  Optional[int]      ,   __lowerCamelCase       :  int | None = None							)      ->  Optional[Any]:
							a					=    value
							a					=    None  # Added in order to delete a node easier
							a					=    None
							a					=    None





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

							if self.left is None and self.right is None:
										return str(self.value							)
							return pformat({f"""{self.value}""": (self.left, self.right)}      ,   indent=1							)




class 					snake_case__							:
				"""simple docstring"""



				def __init__(   self       :  int      ,   __lowerCamelCase       :  Node | None = None							)      ->  str:
							a					=    root





				def __str__(   self       :  str							)      ->  str:
							return str(self.root							)





				def 							__UpperCAmelCase							(   self       :  Any      ,   __lowerCamelCase       :  Node      ,   __lowerCamelCase       :  Node | None							)      ->  None:






							if new_children is not None:  # reset its kids
										a					=    node.parent
							if node.parent is not None:  # reset its parent
										if self.is_right(__lowerCAmelCase							):  # If it is the right children
													a					=    new_children
										else:
													a					=    new_children
							else:
										a					=    new_children





				def 							__UpperCAmelCase							(   self       :  Tuple      ,   __lowerCamelCase       :  Node							)      ->  bool:






							if node.parent and node.parent.right:
										return node == node.parent.right
							return False





				def 							__UpperCAmelCase							(   self       :  str							)      ->  bool:
							return self.root is None





				def 							__UpperCAmelCase							(   self       :  int      ,   __lowerCamelCase       :  List[Any]							)      ->  None:
							a					=    Node(__lowerCAmelCase							)  # create a new Node
							if self.empty():  # if Tree is empty
										a					=    new_node  # set its root
							else:  # Tree is not empty
										a					=    self.root  # from root
										if parent_node is None:
													return
										while True:  # While we don't get to a leaf
													if value < parent_node.value:  # We go left
																if parent_node.left is None:
																			a					=    new_node  # We insert the new node in a leaf
																			break
																else:
																			a					=    parent_node.left
													else:
																if parent_node.right is None:
																			a					=    new_node
																			break
																else:
																			a					=    parent_node.right
										a					=    parent_node





				def 							__UpperCAmelCase							(   self       :  Any      ,   *__lowerCamelCase       :  Any							)      ->  None:






							for value in values:
										self.__insert(__lowerCAmelCase							)





				def 							__UpperCAmelCase							(   self       :  Tuple      ,   __lowerCamelCase       :  List[str]							)      ->  Node | None:






							if self.empty():
										raise IndexError("Warning: Tree is empty! please use another."							)
							else:
										a					=    self.root
										# use lazy evaluation here to avoid NoneType Attribute error
										while node is not None and node.value is not value:
													a					=    node.left if value < node.value else node.right
										return node





				def 							__UpperCAmelCase							(   self       :  Dict      ,   __lowerCamelCase       :  Node | None = None							)      ->  Node | None:






							if node is None:
										if self.root is None:
													return None
										a					=    self.root

							if not self.empty():
										while node.right is not None:
													a					=    node.right
							return node





				def 							__UpperCAmelCase							(   self       :  Tuple      ,   __lowerCamelCase       :  Node | None = None							)      ->  Node | None:






							if node is None:
										a					=    self.root
							if self.root is None:
										return None
							if not self.empty():
										a					=    self.root
										while node.left is not None:
													a					=    node.left
							return node





				def 							__UpperCAmelCase							(   self       :  Any      ,   __lowerCamelCase       :  int							)      ->  None:
							a					=    self.search(__lowerCAmelCase							)  # Look for the node with that label
							if node is not None:
										if node.left is None and node.right is None:  # If it has no children
													self.__reassign_nodes(__lowerCAmelCase      ,   __lowerCAmelCase							)
										elif node.left is None:  # Has only right children
													self.__reassign_nodes(__lowerCAmelCase      ,   node.right							)
										elif node.right is None:  # Has only left children
													self.__reassign_nodes(__lowerCAmelCase      ,   node.left							)
										else:
													a					=    self.get_max(
													    node.left							)  # Gets the max value of the left branch
													self.remove(tmp_node.value							)  # type: ignore
													a					=    (
													    tmp_node.value  # type: ignore
													)  # Assigns the value to the node to delete and keep tree structure





				def 							__UpperCAmelCase							(   self       :  Any      ,   __lowerCamelCase       :  Node | None							)      ->  Iterable:






							if node is not None:
										yield node  # Preorder Traversal
										yield from self.preorder_traverse(node.left							)
										yield from self.preorder_traverse(node.right							)





				def 							__UpperCAmelCase							(   self       :  Dict      ,   __lowerCamelCase       :  Tuple=None							)      ->  Any:






							if traversal_function is None:
										return self.preorder_traverse(self.root							)
							else:
										return traversal_function(self.root							)





				def 							__UpperCAmelCase							(   self       :  str      ,   __lowerCamelCase       :  list      ,   __lowerCamelCase       :  Node | None							)      ->  None:






							if node:
										self.inorder(__lowerCAmelCase      ,   node.left							)
										arr.append(node.value							)
										self.inorder(__lowerCAmelCase      ,   node.right							)





				def 							__UpperCAmelCase							(   self       :  List[Any]      ,   __lowerCamelCase       :  int      ,   __lowerCamelCase       :  Node							)      ->  int:
							a					=    []
							self.inorder(__lowerCAmelCase      ,   __lowerCAmelCase							)  # append all values to list using inorder traversal
							return arr[k - 1]




def     __magic_name__       (				A	:      Node | None     ):






			'''simple docstring'''







			a					=    []
			if curr_node is not None:
						a					=    postorder(curr_node.left     ) + postorder(curr_node.right     ) + [curr_node]
			return node_list




def     __magic_name__       (				):






			'''simple docstring'''







			a					=    (8, 3, 6, 1, 10, 14, 13, 4, 7)
			a					=    BinarySearchTree()
			for i in testlist:
						t.insert(UpperCAmelCase__     )

			# Prints all the elements of the list in order traversal
			print(UpperCAmelCase__     )

			if t.search(6     ) is not None:
						print("The value 6 exists"     )
			else:
						print("The value 6 doesn't exist"     )

			if t.search(-1     ) is not None:
						print("The value -1 exists"     )
			else:
						print("The value -1 doesn't exist"     )

			if not t.empty():
						print("Max Value: ",						t.get_max().value     )  # type: ignore
						print("Min Value: ",						t.get_min().value     )  # type: ignore

			for i in testlist:
						t.remove(UpperCAmelCase__     )
						print(UpperCAmelCase__     )


if __name__ == "__main__":
		import doctest

		doctest.testmod(verbose=True)












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


__lowerCAmelCase	:       List[Any]     =	logging.get_logger(__name__)


__lowerCAmelCase	:       List[Any]     =	TypeVar('DatasetType', Dataset, IterableDataset)




def     __magic_name__       (				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:
									a					,	a					=    (
									    (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     __magic_name__       (				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:
									a					,	a					=    (
									    (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     )






