

from __future__ import annotations

import math
import random
from typing import Any




class 							lowerCAmelCase__  :







					def __init__(       self      :     List[str]):
											A__	:							list[Any]						    = []
											A__	:							int						    = 0
											A__	:							int						    = 0







					def  _lowercase			(       self      :     Dict):
											return self.head == self.tail







					def  _lowercase			(       self      :     Any			,		_A      :     Any):
											self.data.append(_A)
											A__	:							Dict						    = self.tail + 1







					def  _lowercase			(       self      :     List[str]):
											A__	:							List[str]						    = self.data[self.head]
											A__	:							List[str]						    = self.head + 1
											return ret







					def  _lowercase			(       self      :     Optional[int]):
											return self.tail - self.head







					def  _lowercase			(       self      :     Union[str, Any]):
											print(self.data)
											print("**************")
											print(self.data[self.head : self.tail])




class 							lowerCAmelCase__  :







					def __init__(       self      :     str			,		_A      :     Any):
											A__	:							Union[str, Any]						    = data
											A__	:							MyNode | None						    = None
											A__	:							MyNode | None						    = None
											A__	:							int						    = 1







					def  _lowercase			(       self      :     int):
											return self.data







					def  _lowercase			(       self      :     str):
											return self.left







					def  _lowercase			(       self      :     str):
											return self.right







					def  _lowercase			(       self      :     List[str]):
											return self.height







					def  _lowercase			(       self      :     int			,		_A      :     Any):
											A__	:							Any						    = data







					def  _lowercase			(       self      :     str			,		_A      :     MyNode | None):
											A__	:							str						    = node







					def  _lowercase			(       self      :     Dict			,		_A      :     MyNode | None):
											A__	:							Optional[int]						    = node







					def  _lowercase			(       self      :     Optional[Any]			,		_A      :     int):
											A__	:							Any						    = height




def 	snake_case__       (					__lowercase       )		->		int:







						"""simple docstring"""

						if node is None:
												return 0
						return node.get_height()
def 	snake_case__       (					__lowercase							,     __lowercase       )		->		int:







						"""simple docstring"""

						if a > b:
												return a
						return b
def 	snake_case__       (					__lowercase       )		->		MyNode:







						"""simple docstring"""

						print("left rotation node:"							,     node.get_data()       )
						A__	:							int						    = node.get_left()
						assert ret is not None
						node.set_left(ret.get_right()       )
						ret.set_right(__lowercase       )
						A__	:							Tuple						    = my_max(get_height(node.get_right()       )							,     get_height(node.get_left()       )       ) + 1
						node.set_height(__lowercase       )
						A__	:							Union[str, Any]						    = my_max(get_height(ret.get_right()       )							,     get_height(ret.get_left()       )       ) + 1
						ret.set_height(__lowercase       )
						return ret
def 	snake_case__       (					__lowercase       )		->		MyNode:







						"""simple docstring"""

						print("right rotation node:"							,     node.get_data()       )
						A__	:							List[Any]						    = node.get_right()
						assert ret is not None
						node.set_right(ret.get_left()       )
						ret.set_left(__lowercase       )
						A__	:							Union[str, Any]						    = my_max(get_height(node.get_right()       )							,     get_height(node.get_left()       )       ) + 1
						node.set_height(__lowercase       )
						A__	:							int						    = my_max(get_height(ret.get_right()       )							,     get_height(ret.get_left()       )       ) + 1
						ret.set_height(__lowercase       )
						return ret
def 	snake_case__       (					__lowercase       )		->		MyNode:







						"""simple docstring"""

						A__	:							Tuple						    = node.get_left()
						assert left_child is not None
						node.set_left(left_rotation(__lowercase       )       )
						return right_rotation(__lowercase       )
def 	snake_case__       (					__lowercase       )		->		MyNode:







						"""simple docstring"""

						A__	:							int						    = node.get_right()
						assert right_child is not None
						node.set_right(right_rotation(__lowercase       )       )
						return left_rotation(__lowercase       )
def 	snake_case__       (					__lowercase							,     __lowercase       )		->		MyNode | None:







						"""simple docstring"""

						if node is None:
												return MyNode(__lowercase       )
						if data < node.get_data():
												node.set_left(insert_node(node.get_left()							,     __lowercase       )       )
												if (
												    get_height(node.get_left()       ) - get_height(node.get_right()       ) == 2
												):  # an unbalance detected
																		A__	:							List[str]						    = node.get_left()
																		assert left_child is not None
																		if (
																		    data < left_child.get_data()
																		):  # new node is the left child of the left child
																								A__	:							Optional[int]						    = right_rotation(__lowercase       )
																		else:
																								A__	:							Dict						    = lr_rotation(__lowercase       )
						else:
												node.set_right(insert_node(node.get_right()							,     __lowercase       )       )
												if get_height(node.get_right()       ) - get_height(node.get_left()       ) == 2:
																		A__	:							Optional[Any]						    = node.get_right()
																		assert right_child is not None
																		if data < right_child.get_data():
																								A__	:							List[str]						    = rl_rotation(__lowercase       )
																		else:
																								A__	:							Optional[int]						    = left_rotation(__lowercase       )
						A__	:							List[Any]						    = my_max(get_height(node.get_right()       )							,     get_height(node.get_left()       )       ) + 1
						node.set_height(__lowercase       )
						return node
def 	snake_case__       (					__lowercase       )		->		Any:







						"""simple docstring"""

						while True:
												A__	:							List[Any]						    = root.get_right()
												if right_child is None:
																		break
												A__	:							List[str]						    = right_child
						return root.get_data()
def 	snake_case__       (					__lowercase       )		->		Any:







						"""simple docstring"""

						while True:
												A__	:							Dict						    = root.get_left()
												if left_child is None:
																		break
												A__	:							Tuple						    = left_child
						return root.get_data()
def 	snake_case__       (					__lowercase							,     __lowercase       )		->		MyNode | None:







						"""simple docstring"""

						A__	:							Tuple						    = root.get_left()
						A__	:							Union[str, Any]						    = root.get_right()
						if root.get_data() == data:
												if left_child is not None and right_child is not None:
																		A__	:							Optional[Any]						    = get_left_most(__lowercase       )
																		root.set_data(__lowercase       )
																		root.set_right(del_node(__lowercase							,     __lowercase       )       )
												elif left_child is not None:
																		A__	:							int						    = left_child
												elif right_child is not None:
																		A__	:							int						    = right_child
												else:
																		return None
						elif root.get_data() > data:
												if left_child is None:
																		print("No such data"       )
																		return root
												else:
																		root.set_left(del_node(__lowercase							,     __lowercase       )       )
						else:  # root.get_data() < data
												if right_child is None:
																		return root
												else:
																		root.set_right(del_node(__lowercase							,     __lowercase       )       )

						if get_height(__lowercase       ) - get_height(__lowercase       ) == 2:
												assert right_child is not None
												if get_height(right_child.get_right()       ) > get_height(right_child.get_left()       ):
																		A__	:							Dict						    = left_rotation(__lowercase       )
												else:
																		A__	:							Union[str, Any]						    = rl_rotation(__lowercase       )
						elif get_height(__lowercase       ) - get_height(__lowercase       ) == -2:
												assert left_child is not None
												if get_height(left_child.get_left()       ) > get_height(left_child.get_right()       ):
																		A__	:							Any						    = right_rotation(__lowercase       )
												else:
																		A__	:							List[Any]						    = lr_rotation(__lowercase       )
						A__	:							List[str]						    = my_max(get_height(root.get_right()       )							,     get_height(root.get_left()       )       ) + 1
						root.set_height(__lowercase       )
						return root




class 							lowerCAmelCase__  :







					def __init__(       self      :     str):
											A__	:							MyNode | None						    = None







					def  _lowercase			(       self      :     Union[str, Any]):
											return get_height(self.root)







					def  _lowercase			(       self      :     Union[str, Any]			,		_A      :     Any):
											print("insert:" + str(_A))
											A__	:							Any						    = insert_node(self.root			,		_A)







					def  _lowercase			(       self      :     Any			,		_A      :     Any):
											print("delete:" + str(_A))
											if self.root is None:
																	print("Tree is empty!")
																	return
											A__	:							Tuple						    = del_node(self.root			,		_A)







					def __str__(       self      :     Tuple			,		):  # a level traversale, gives a more intuitive look on the tree
											A__	:							List[Any]						    = ""
											A__	:							List[str]						    = MyQueue()
											q.push(self.root)
											A__	:							List[Any]						    = self.get_height()
											if layer == 0:
																	return output
											A__	:							Optional[Any]						    = 0
											while not q.is_empty():
																	A__	:							int						    = q.pop()
																	A__	:							Optional[Any]						    = " " * int(math.pow(2			,		layer - 1))
																	output += space
																	if node is None:
																							output += "*"
																							q.push(_A)
																							q.push(_A)
																	else:
																							output += str(node.get_data())
																							q.push(node.get_left())
																							q.push(node.get_right())
																	output += space
																	A__	:							Union[str, Any]						    = cnt + 1
																	for i in range(100):
																							if cnt == math.pow(2			,		_A) - 1:
																													A__	:							Any						    = layer - 1
																													if layer == 0:
																																			output += "\n*************************************"
																																			return output
																													output += "\n"
																													break
											output += "\n*************************************"
											return output




def 	snake_case__       (					)		->		None:







						"""simple docstring"""

						import doctest

						doctest.testmod()


if __name__ == "__main__":
		_test()
		snake_case    :						str  =						AVLtree()
		snake_case    :						Optional[Any]  =						list(range(1_0))
		random.shuffle(lst)
		for i in lst:
				t.insert(i)
				print(str(t))
		random.shuffle(lst)
		for i in lst:
				t.del_node(i)
				print(str(t))




import multiprocessing
import os
from typing import BinaryIO, Optional, Union

import fsspec

from .. import Dataset, Features, NamedSplit, config
from ..formatting import query_table
from ..packaged_modules.json.json import Json
from ..utils import logging
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader




class 							lowerCAmelCase__  (	UpperCamelCase						):







					def __init__(       self      :     Dict			,		_A      :     NestedDataStructureLike[PathLike]			,		_A      :     Optional[NamedSplit] = None			,		_A      :     Optional[Features] = None			,		_A      :     str = None			,		_A      :     bool = False			,		_A      :     bool = False			,		_A      :     Optional[str] = None			,		_A      :     Optional[int] = None			,		**_A      :     Dict			,		):
											super().__init__(
											    _A			,		split=_A			,		features=_A			,		cache_dir=_A			,		keep_in_memory=_A			,		streaming=_A			,		num_proc=_A			,		**_A			,		)
											A__	:							Optional[int]						    = field
											A__	:							Dict						    = path_or_paths if isinstance(_A			,		_A) else {self.split: path_or_paths}
											A__	:							int						    = Json(
											    cache_dir=_A			,		data_files=_A			,		features=_A			,		field=_A			,		**_A			,		)







					def  _lowercase			(       self      :     Dict):
											# Build iterable dataset
											if self.streaming:
																	A__	:							Union[str, Any]						    = self.builder.as_streaming_dataset(split=self.split)
											# Build regular (map-style) dataset
											else:
																	A__	:							Optional[Any]						    = None
																	A__	:							Any						    = None
																	A__	:							Tuple						    = None
																	A__	:							Tuple						    = None

																	self.builder.download_and_prepare(
																	    download_config=_A			,		download_mode=_A			,		verification_mode=_A			,		base_path=_A			,		num_proc=self.num_proc			,		)
																	A__	:							Any						    = self.builder.as_dataset(
																	    split=self.split			,		verification_mode=_A			,		in_memory=self.keep_in_memory)
											return dataset




class 							lowerCAmelCase__  :







					def __init__(       self      :     Union[str, Any]			,		_A      :     Dataset			,		_A      :     Union[PathLike, BinaryIO]			,		_A      :     Optional[int] = None			,		_A      :     Optional[int] = None			,		**_A      :     Any			,		):
											if num_proc is not None and num_proc <= 0:
																	raise ValueError(F'num_proc {num_proc} must be an integer > 0.')

											A__	:							Tuple						    = dataset
											A__	:							Tuple						    = path_or_buf
											A__	:							int						    = batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
											A__	:							Tuple						    = num_proc
											A__	:							Any						    = "utf-8"
											A__	:							Optional[int]						    = to_json_kwargs







					def  _lowercase			(       self      :     Union[str, Any]):
											A__	:							Any						    = self.to_json_kwargs.pop("path_or_buf"			,		_A)
											A__	:							Union[str, Any]						    = self.to_json_kwargs.pop("orient"			,		"records")
											A__	:							List[Any]						    = self.to_json_kwargs.pop("lines"			,		True if orient == "records" else False)
											A__	:							List[Any]						    = self.to_json_kwargs.pop("index"			,		False if orient in ["split", "table"] else True)
											A__	:							int						    = self.to_json_kwargs.pop("compression"			,		_A)

											if compression not in [None, "infer", "gzip", "bz2", "xz"]:
																	raise NotImplementedError(F'`datasets` currently does not support {compression} compression')

											if isinstance(self.path_or_buf			,		(str, bytes, os.PathLike)):
																	with fsspec.open(self.path_or_buf			,		"wb"			,		compression=_A) as buffer:
																							A__	:							int						    = self._write(file_obj=_A			,		orient=_A			,		lines=_A			,		index=_A			,		**self.to_json_kwargs)
											else:
																	if compression:
																							raise NotImplementedError(
																							    F'The compression parameter is not supported when writing to a buffer, but compression={compression}'
																							    " was passed. Please provide a local path instead.")
																	A__	:							Optional[Any]						    = self._write(
																	    file_obj=self.path_or_buf			,		orient=_A			,		lines=_A			,		index=_A			,		**self.to_json_kwargs)
											return written







					def  _lowercase			(       self      :     List[Any]			,		_A      :     int):
											A__    ,       A__    ,       A__    ,       A__    ,       A__	:							Union[str, Any]						    = args

											A__	:							Dict						    = query_table(
											    table=self.dataset.data			,		key=slice(_A			,		offset + self.batch_size)			,		indices=self.dataset._indices			,		)
											A__	:							Dict						    = batch.to_pandas().to_json(
											    path_or_buf=_A			,		orient=_A			,		lines=_A			,		index=_A			,		**_A)
											if not json_str.endswith("\n"):
																	json_str += "\n"
											return json_str.encode(self.encoding)







					def  _lowercase			(       self      :     List[str]			,		_A      :     BinaryIO			,		_A      :     str			,		_A      :     List[Any]			,		_A      :     Optional[Any]			,		**_A      :     Optional[Any]			,		):
											A__	:							Any						    = 0

											if self.num_proc is None or self.num_proc == 1:
																	for offset in logging.tqdm(
																	    range(0			,		len(self.dataset)			,		self.batch_size)			,		unit="ba"			,		disable=not logging.is_progress_bar_enabled()			,		desc="Creating json from Arrow format"			,		):
																							A__	:							List[str]						    = self._batch_json((offset, orient, lines, index, to_json_kwargs))
																							written += file_obj.write(_A)
											else:
																	A__    ,       A__	:							Union[str, Any]						    = len(self.dataset), self.batch_size
																	with multiprocessing.Pool(self.num_proc) as pool:
																							for json_str in logging.tqdm(
																							    pool.imap(
																							        self._batch_json			,		[(offset, orient, lines, index, to_json_kwargs) for offset in range(0			,		_A			,		_A)]			,		)			,		total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size			,		unit="ba"			,		disable=not logging.is_progress_bar_enabled()			,		desc="Creating json from Arrow format"			,		):
																													written += file_obj.write(_A)

											return written