



'''simple docstring'''
from __future__ import annotations

import unittest
from collections.abc import Iterator


class   SCREAMING_SNAKE_CASE__				:
	"""simple docstring"""


	def __init__(		self					,   A					,   A			) ->							Any:
				A:      str														=   label
				A:      Dict														=   parent
				A:      Optional[int]														=   None
				A:      List[Any]														=   None







class   SCREAMING_SNAKE_CASE__				:
	"""simple docstring"""


	def __init__(		self			) ->							Any:
				A:      Any														=   None


	def      a__ (		self			) ->							Optional[Any]:
				A:      Tuple														=   None


	def      a__ (		self			) ->							Dict:
				return self.root is None


	def      a__ (		self					,   A			) ->							Tuple:
				A:      Tuple														=   self._put(self.root					,   A			)


	def      a__ (		self					,   A					,   A					,   A = None			) ->							Any:







				if node is None:
							A:      Union[str, Any]														=   Node(A					,   A			)
				else:
							if label < node.label:
										A:      Optional[Any]														=   self._put(node.left					,   A					,   A			)
							elif label > node.label:
										A:      Optional[int]														=   self._put(node.right					,   A					,   A			)
							else:
										A:      Optional[int]														=   f'Node with label {label} already exists'
										raise Exception(A			)

				return node


	def      a__ (		self					,   A			) ->							str:
				return self._search(self.root					,   A			)


	def      a__ (		self					,   A					,   A			) ->							Optional[Any]:







				if node is None:
							A:      Optional[Any]														=   f'Node with label {label} does not exist'
							raise Exception(A			)
				else:
							if label < node.label:
										A:      Optional[int]														=   self._search(node.left					,   A			)
							elif label > node.label:
										A:      Union[str, Any]														=   self._search(node.right					,   A			)

				return node


	def      a__ (		self					,   A			) ->							List[str]:
				A:      int														=   self.search(A			)
				if node.right and node.left:
							A:      Any														=   self._get_lowest_node(node.right			)
							A:      Optional[Any]														=   node.left
							A:      Optional[int]														=   node.right
							A:      Dict														=   lowest_node
							if node.right:
										A:      str														=   lowest_node
							self._reassign_nodes(A					,   A			)
				elif not node.right and node.left:
							self._reassign_nodes(A					,   node.left			)
				elif node.right and not node.left:
							self._reassign_nodes(A					,   node.right			)
				else:
							self._reassign_nodes(A					,   A			)


	def      a__ (		self					,   A					,   A			) ->							List[str]:







				if new_children:
							A:      Optional[Any]														=   node.parent

				if node.parent:
							if node.parent.right == node:
										A:      Union[str, Any]														=   new_children
							else:
										A:      List[Any]														=   new_children
				else:
							A:      Optional[int]														=   new_children


	def      a__ (		self					,   A			) ->							Optional[Any]:







				if node.left:
							A:      Any														=   self._get_lowest_node(node.left			)
				else:
							A:      int														=   node
							self._reassign_nodes(A					,   node.right			)

				return lowest_node


	def      a__ (		self					,   A			) ->							List[Any]:







				try:
							self.search(A			)
							return True
				except Exception:
							return False


	def      a__ (		self			) ->							Tuple:







				if self.root is None:
							raise Exception("""Binary search tree is empty"""			)

				A:      List[str]														=   self.root
				while node.right is not None:
							A:      List[str]														=   node.right

				return node.label


	def      a__ (		self			) ->							Optional[int]:







				if self.root is None:
							raise Exception("""Binary search tree is empty"""			)

				A:      str														=   self.root
				while node.left is not None:
							A:      List[Any]														=   node.left

				return node.label


	def      a__ (		self			) ->							Optional[Any]:
				return self._inorder_traversal(self.root			)


	def      a__ (		self					,   A			) ->							Any:







				if node is not None:
							yield from self._inorder_traversal(node.left			)
							yield node
							yield from self._inorder_traversal(node.right			)


	def      a__ (		self			) ->							List[Any]:
				return self._preorder_traversal(self.root			)





	def      a__ (		self					,   A			) ->							List[Any]:







				if node is not None:
							yield node
							yield from self._preorder_traversal(node.left			)
							yield from self._preorder_traversal(node.right			)







class   SCREAMING_SNAKE_CASE__				(   unittest.TestCase					):
	"""simple docstring"""


	@staticmethod
	def      a__ (		) ->							List[str]:
				A:      Any														=   BinarySearchTree()
				t.put(8			)
				t.put(3			)
				t.put(6			)
				t.put(1			)
				t.put(10			)
				t.put(14			)
				t.put(13			)
				t.put(4			)
				t.put(7			)
				t.put(5			)

				return t


	def      a__ (		self			) ->							List[str]:
				A:      int														=   BinarySearchTree()
				assert t.is_empty()

				t.put(8			)
				assert t.root is not None
				assert t.root.parent is None
				assert t.root.label == 8

				t.put(10			)
				assert t.root.right is not None
				assert t.root.right.parent == t.root
				assert t.root.right.label == 10

				t.put(3			)
				assert t.root.left is not None
				assert t.root.left.parent == t.root
				assert t.root.left.label == 3

				t.put(6			)
				assert t.root.left.right is not None
				assert t.root.left.right.parent == t.root.left
				assert t.root.left.right.label == 6

				t.put(1			)
				assert t.root.left.left is not None
				assert t.root.left.left.parent == t.root.left
				assert t.root.left.left.label == 1

				with self.assertRaises(A			):  # noqa: B017
							t.put(1			)


	def      a__ (		self			) ->							Optional[Any]:
				A:      str														=   self._get_binary_search_tree()

				A:      Optional[int]														=   t.search(6			)
				assert node.label == 6

				A:      int														=   t.search(13			)
				assert node.label == 13

				with self.assertRaises(A			):  # noqa: B017
							t.search(2			)


	def      a__ (		self			) ->							str:
				A:      Any														=   self._get_binary_search_tree()

				t.remove(13			)
				assert t.root is not None
				assert t.root.right is not None
				assert t.root.right.right is not None
				assert t.root.right.right.right is None
				assert t.root.right.right.left is None

				t.remove(7			)
				assert t.root.left is not None
				assert t.root.left.right is not None
				assert t.root.left.right.left is not None
				assert t.root.left.right.right is None
				assert t.root.left.right.left.label == 4

				t.remove(6			)
				assert t.root.left.left is not None
				assert t.root.left.right.right is not None
				assert t.root.left.left.label == 1
				assert t.root.left.right.label == 4
				assert t.root.left.right.right.label == 5
				assert t.root.left.right.left is None
				assert t.root.left.left.parent == t.root.left
				assert t.root.left.right.parent == t.root.left

				t.remove(3			)
				assert t.root is not None
				assert t.root.left.label == 4
				assert t.root.left.right.label == 5
				assert t.root.left.left.label == 1
				assert t.root.left.parent == t.root
				assert t.root.left.left.parent == t.root.left
				assert t.root.left.right.parent == t.root.left

				t.remove(4			)
				assert t.root.left is not None
				assert t.root.left.left is not None
				assert t.root.left.label == 5
				assert t.root.left.right is None
				assert t.root.left.left.label == 1
				assert t.root.left.parent == t.root
				assert t.root.left.left.parent == t.root.left


	def      a__ (		self			) ->							int:
				A:      Optional[Any]														=   self._get_binary_search_tree()

				t.remove(3			)
				assert t.root is not None
				assert t.root.left is not None
				assert t.root.left.left is not None
				assert t.root.left.right is not None
				assert t.root.left.right.left is not None
				assert t.root.left.right.right is not None
				assert t.root.left.label == 4
				assert t.root.left.right.label == 6
				assert t.root.left.left.label == 1
				assert t.root.left.right.right.label == 7
				assert t.root.left.right.left.label == 5
				assert t.root.left.parent == t.root
				assert t.root.left.right.parent == t.root.left
				assert t.root.left.left.parent == t.root.left
				assert t.root.left.right.left.parent == t.root.left.right


	def      a__ (		self			) ->							List[str]:
				A:      int														=   self._get_binary_search_tree()
				t.empty()
				assert t.root is None


	def      a__ (		self			) ->							int:
				A:      int														=   self._get_binary_search_tree()
				assert not t.is_empty()

				t.empty()
				assert t.is_empty()


	def      a__ (		self			) ->							List[str]:
				A:      Optional[Any]														=   self._get_binary_search_tree()

				assert t.exists(6			)
				assert not t.exists(-1			)


	def      a__ (		self			) ->							int:
				A:      Dict														=   self._get_binary_search_tree()

				assert t.get_max_label() == 14

				t.empty()
				with self.assertRaises(A			):  # noqa: B017
							t.get_max_label()


	def      a__ (		self			) ->							Tuple:
				A:      Dict														=   self._get_binary_search_tree()

				assert t.get_min_label() == 1

				t.empty()
				with self.assertRaises(A			):  # noqa: B017
							t.get_min_label()


	def      a__ (		self			) ->							List[Any]:
				A:      List[Any]														=   self._get_binary_search_tree()

				A:      int														=   [i.label for i in t.inorder_traversal()]
				assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 10, 13, 14]





	def      a__ (		self			) ->							List[Any]:
				A:      Tuple														=   self._get_binary_search_tree()

				A:      Optional[Any]														=   [i.label for i in t.preorder_traversal()]
				assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 10, 14, 13]







def 		_SCREAMING_SNAKE_CASE							(				):


			'''simple docstring'''







			A:      List[Any]														=   BinarySearchTree()
			t.put(8				)
			t.put(3				)
			t.put(6				)
			t.put(1				)
			t.put(10				)
			t.put(14				)
			t.put(13				)
			t.put(4				)
			t.put(7				)
			t.put(5				)

			print(
			    """
            8
           / \\
          3   10
         / \\    \\
        1   6    14
           / \\   /
          4   7 13
           \\
            5
        """				)

			print("""Label 6 exists:"""							,							t.exists(6				)				)
			print("""Label 13 exists:"""							,							t.exists(13				)				)
			print("""Label -1 exists:"""							,							t.exists(-1				)				)
			print("""Label 12 exists:"""							,							t.exists(12				)				)

			# Prints all the elements of the list in inorder traversal
			A:      str														=   [i.label for i in t.inorder_traversal()]
			print("""Inorder traversal:"""							,							lowerCamelCase__				)

			# Prints all the elements of the list in preorder traversal
			A:      List[str]														=   [i.label for i in t.preorder_traversal()]
			print("""Preorder traversal:"""							,							lowerCamelCase__				)

			print("""Max. label:"""							,							t.get_max_label()				)
			print("""Min. label:"""							,							t.get_min_label()				)

			# Delete elements
			print("""\nDeleting elements 13, 10, 8, 3, 6, 14"""				)
			print(
			    """
          4
         / \\
        1   7
             \\
              5
        """				)
			t.remove(13				)
			t.remove(10				)
			t.remove(8				)
			t.remove(3				)
			t.remove(6				)
			t.remove(14				)

			# Prints all the elements of the list in inorder traversal after delete
			A:      Any														=   [i.label for i in t.inorder_traversal()]
			print("""Inorder traversal after delete:"""							,							lowerCamelCase__				)

			# Prints all the elements of the list in preorder traversal after delete
			A:      Tuple														=   [i.label for i in t.preorder_traversal()]
			print("""Preorder traversal after delete:"""							,							lowerCamelCase__				)

			print("""Max. label:"""							,							t.get_max_label()				)
			print("""Min. label:"""							,							t.get_min_label()				)


if __name__ == "__main__":
			binary_search_tree_example()










'''simple docstring'''
import itertools
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa

import datasets
from datasets.table import table_cast


__SCREAMING_SNAKE_CASE :      List[Any]             =datasets.utils.logging.get_logger(__name__)


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


	A__    :    Optional[datasets.Features]						=				None







class   SCREAMING_SNAKE_CASE__				(   datasets.ArrowBasedBuilder					):
	"""simple docstring"""


	A__    :    Optional[int]						=				ArrowConfig


	def      a__ (		self			) ->							Union[str, Any]:
				return datasets.DatasetInfo(features=self.config.features			)


	def      a__ (		self					,   A			) ->							Any:
				if not self.config.data_files:
							raise ValueError(f'At least one data file must be specified, but got data_files={self.config.data_files}'			)
				A:      Tuple														=   dl_manager.download_and_extract(self.config.data_files			)
				if isinstance(A					,   (str, list, tuple)			):
							A:      Union[str, Any]														=   data_files
							if isinstance(A					,   A			):
										A:      Tuple														=   [files]
							# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
							A:      str														=   [dl_manager.iter_files(A			) for file in files]
							return [datasets.SplitGenerator(name=datasets.Split.TRAIN					,   gen_kwargs={"""files""": files}			)]
				A:      Union[str, Any]														=   []
				for split_name, files in data_files.items():
							if isinstance(A					,   A			):
										A:      List[str]														=   [files]
							# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
							A:      List[Any]														=   [dl_manager.iter_files(A			) for file in files]
							# Infer features is they are stoed in the arrow schema
							if self.info.features is None:
										for file in itertools.chain.from_iterable(A			):
													with open(A					,   """rb"""			) as f:
																A:      Dict														=   datasets.Features.from_arrow_schema(pa.ipc.open_stream(A			).schema			)
													break
							splits.append(datasets.SplitGenerator(name=A					,   gen_kwargs={"""files""": files}			)			)
				return splits


	def      a__ (		self					,   A			) ->							pa.Table:
				if self.info.features is not None:
							# more expensive cast to support nested features with keys in a different order
							# allows str <-> int/float or str to Audio for example
							A:      Dict														=   table_cast(A					,   self.info.features.arrow_schema			)
				return pa_table





	def      a__ (		self					,   A			) ->							Dict:
				for file_idx, file in enumerate(itertools.chain.from_iterable(A			)			):
							with open(A					,   """rb"""			) as f:
										try:
													for batch_idx, record_batch in enumerate(pa.ipc.open_stream(A			)			):
																A:      Union[str, Any]														=   pa.Table.from_batches([record_batch]			)
																# Uncomment for debugging (will print the Arrow table size and elements)
																# logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
																# logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
																yield f'{file_idx}_{batch_idx}', self._cast_table(A			)
										except ValueError as e:
													logger.error(f'Failed to read file \'{file}\' with error {type(A			)}: {e}'			)
													raise





