





"""simple docstring"""




from __future__ import annotations

import math
import random
from typing import Any


class        __UpperCamelCase				:






							def __init__(   self      )	-> None:
								a      :		list[Any]	=				[]
								a      :		int	=				0
								a      :		int	=				0






							def     __a   (   self      )	-> bool:
								return self.head == self.tail






							def     __a   (   self      ,					lowerCAmelCase__      )	-> None:
								self.data.append(lowerCAmelCase__      )
								a      :		List[Any]	=				self.tail + 1






							def     __a   (   self      )	-> Any:
								a      :		int	=				self.data[self.head]
								a      :		Union[str, Any]	=				self.head + 1
								return ret






							def     __a   (   self      )	-> int:
								return self.tail - self.head






							def     __a   (   self      )	-> None:
								print(self.data      )
								print("**************"      )
								print(self.data[self.head : self.tail]      )


class        __UpperCamelCase				:






							def __init__(   self      ,					lowerCAmelCase__      )	-> None:
								a      :		Dict	=				data
								a      :		MyNode | None	=				None
								a      :		MyNode | None	=				None
								a      :		int	=				1






							def     __a   (   self      )	-> Any:
								return self.data






							def     __a   (   self      )	-> MyNode | None:
								return self.left






							def     __a   (   self      )	-> MyNode | None:
								return self.right






							def     __a   (   self      )	-> int:
								return self.height






							def     __a   (   self      ,					lowerCAmelCase__      )	-> None:
								a      :		Optional[Any]	=				data






							def     __a   (   self      ,					lowerCAmelCase__      )	-> None:
								a      :		str	=				node






							def     __a   (   self      ,					lowerCAmelCase__      )	-> None:
								a      :		int	=				node






							def     __a   (   self      ,					lowerCAmelCase__      )	-> None:
								a      :		List[Any]	=				height






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    MyNode | None					) ->int:






	'''simple docstring'''






	if node is None:
		return 0
	return node.get_height()






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    int    ,       _lowercase						:    int					) ->int:






	'''simple docstring'''






	if a > b:
		return a
	return b






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    MyNode					) ->MyNode:






	'''simple docstring'''






	print("left rotation node:"    ,       node.get_data()					)
	a      :		List[Any]	=				node.get_left()
	assert ret is not None
	node.set_left(ret.get_right()					)
	ret.set_right(_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       _SCREAMING_SNAKE_CASE		(	_lowercase						:    MyNode					) ->MyNode:






	'''simple docstring'''






	print("right rotation node:"    ,       node.get_data()					)
	a      :		Tuple	=				node.get_right()
	assert ret is not None
	node.set_right(ret.get_left()					)
	ret.set_left(_lowercase					)
	a      :		Dict	=				my_max(get_height(node.get_right()					)    ,       get_height(node.get_left()					)					) + 1
	node.set_height(_lowercase					)
	a      :		List[Any]	=				my_max(get_height(ret.get_right()					)    ,       get_height(ret.get_left()					)					) + 1
	ret.set_height(_lowercase					)
	return ret






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    MyNode					) ->MyNode:






	'''simple docstring'''






	a      :		str	=				node.get_left()
	assert left_child is not None
	node.set_left(left_rotation(_lowercase					)					)
	return right_rotation(_lowercase					)






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    MyNode					) ->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       _SCREAMING_SNAKE_CASE		(	_lowercase						:    MyNode | None    ,       _lowercase						:    Any					) ->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      :		Any	=				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      :		int	=				right_rotation(_lowercase					)
			else:
				a      :		int	=				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[int]	=				node.get_right()
			assert right_child is not None
			if data < right_child.get_data():
				a      :		Tuple	=				rl_rotation(_lowercase					)
			else:
				a      :		List[Any]	=				left_rotation(_lowercase					)
	a      :		Any	=				my_max(get_height(node.get_right()					)    ,       get_height(node.get_left()					)					) + 1
	node.set_height(_lowercase					)
	return node






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    MyNode					) ->Any:






	'''simple docstring'''






	while True:
		a      :		Dict	=				root.get_right()
		if right_child is None:
			break
		a      :		List[str]	=				right_child
	return root.get_data()






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    MyNode					) ->Any:






	'''simple docstring'''






	while True:
		a      :		str	=				root.get_left()
		if left_child is None:
			break
		a      :		Any	=				left_child
	return root.get_data()






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    MyNode    ,       _lowercase						:    Any					) ->MyNode | None:






	'''simple docstring'''






	a      :		List[Any]	=				root.get_left()
	a      :		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      :		Optional[int]	=				left_child
		elif right_child is not None:
			a      :		Optional[Any]	=				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      :		Any	=				left_rotation(_lowercase					)
		else:
			a      :		Optional[int]	=				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      :		Tuple	=				right_rotation(_lowercase					)
		else:
			a      :		Tuple	=				lr_rotation(_lowercase					)
	a      :		List[Any]	=				my_max(get_height(root.get_right()					)    ,       get_height(root.get_left()					)					) + 1
	root.set_height(_lowercase					)
	return root


class        __UpperCamelCase				:






							def __init__(   self      )	-> None:
								a      :		MyNode | None	=				None






							def     __a   (   self      )	-> int:
								return get_height(self.root      )






							def     __a   (   self      ,					lowerCAmelCase__      )	-> None:
								print("insert:" + str(lowerCAmelCase__      )      )
								a      :		List[Any]	=				insert_node(self.root      ,					lowerCAmelCase__      )






							def     __a   (   self      ,					lowerCAmelCase__      )	-> None:
								print("delete:" + str(lowerCAmelCase__      )      )
								if self.root is None:
									print("Tree is empty!"      )
									return
								a      :		List[str]	=				del_node(self.root      ,					lowerCAmelCase__      )






							def __str__(   self      ,					)	-> str:  # a level traversale, gives a more intuitive look on the tree
								a      :		List[Any]	=				""
								a      :		Dict	=				MyQueue()
								q.push(self.root      )
								a      :		Optional[Any]	=				self.get_height()
								if layer == 0:
									return output
								a      :		Dict	=				0
								while not q.is_empty():
									a      :		Optional[Any]	=				q.pop()
									a      :		str	=				" " * int(math.pow(2      ,					layer - 1      )      )
									output += space
									if node is None:
										output += "*"
										q.push(lowerCAmelCase__      )
										q.push(lowerCAmelCase__      )
									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      ,					lowerCAmelCase__      ) - 1:
											a      :		Tuple	=				layer - 1
											if layer == 0:
												output += "\n*************************************"
												return output
											output += "\n"
											break
								output += "\n*************************************"
								return output






def       _SCREAMING_SNAKE_CASE		(	) ->None:






	'''simple docstring'''






	import doctest

	doctest.testmod()


if __name__ == "__main__":
		_test()
		a						: Optional[Any]     	=			AVLtree()
		a						: List[Any]     	=			list(range(10))
		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))









"""simple docstring"""




import os
import re
import shutil
from argparse import ArgumentParser, Namespace

from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger


a						: int     	=			'''<<<<<<< This should probably be modified because it mentions: '''

a						: Tuple     	=			'''=======
>>>>>>>
'''

a						: List[Any]     	=			[
    '''TextEncoderConfig''',
    '''ByteTextEncoder''',
    '''SubwordTextEncoder''',
    '''encoder_config''',
    '''maybe_build_from_corpus''',
    '''manual_dir''',
]

a						: Union[str, Any]     	=			[
    # (pattern, replacement)
    # Order is important here for some replacements
    (R'''tfds\.core''', R'''datasets'''),
    (R'''tf\.io\.gfile\.GFile''', R'''open'''),
    (R'''tf\.([\w\d]+)''', R'''datasets.Value(\'\1\')'''),
    (R'''tfds\.features\.Text\(\)''', R'''datasets.Value(\'string\')'''),
    (R'''tfds\.features\.Text\(''', R'''datasets.Value(\'string\'),'''),
    (R'''features\s*=\s*tfds.features.FeaturesDict\(''', R'''features=datasets.Features('''),
    (R'''tfds\.features\.FeaturesDict\(''', R'''dict('''),
    (R'''The TensorFlow Datasets Authors''', R'''The TensorFlow Datasets Authors and the HuggingFace Datasets Authors'''),
    (R'''tfds\.''', R'''datasets.'''),
    (R'''dl_manager\.manual_dir''', R'''self.config.data_dir'''),
    (R'''self\.builder_config''', R'''self.config'''),
]






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    Namespace					) ->Any:






	'''simple docstring'''






	return ConvertCommand(args.tfds_path    ,       args.datasets_directory					)







class        __UpperCamelCase				(						a__						):






							@staticmethod
							def     __a   (   lowerCAmelCase__      )	-> int:
								a      :		Any	=				parser.add_parser(
								    "convert"      ,					help="Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset."      ,					)
								train_parser.add_argument(
								    "--tfds_path"      ,					type=lowerCAmelCase__      ,					required=lowerCAmelCase__      ,					help="Path to a TensorFlow Datasets folder to convert or a single tfds file to convert."      ,					)
								train_parser.add_argument(
								    "--datasets_directory"      ,					type=lowerCAmelCase__      ,					required=lowerCAmelCase__      ,					help="Path to the HuggingFace Datasets folder."      )
								train_parser.set_defaults(func=lowerCAmelCase__      )






							def __init__(   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__      ,					*lowerCAmelCase__      )	-> Tuple:
								a      :		List[str]	=				get_logger("datasets-cli/converting"      )

								a      :		Optional[int]	=				tfds_path
								a      :		str	=				datasets_directory






							def     __a   (   self      )	-> str:
								if os.path.isdir(self._tfds_path      ):
									a      :		int	=				os.path.abspath(self._tfds_path      )
								elif os.path.isfile(self._tfds_path      ):
									a      :		Optional[Any]	=				os.path.dirname(self._tfds_path      )
								else:
									raise ValueError("--tfds_path is neither a directory nor a file. Please check path."      )

								a      :		str	=				os.path.abspath(self._datasets_directory      )

								self._logger.info(f"""Converting datasets from {abs_tfds_path} to {abs_datasets_path}"""      )

								a      :		str	=				[]
								a      :		Union[str, Any]	=				[]
								a      :		str	=				{}

								if os.path.isdir(self._tfds_path      ):
									a      :		Dict	=				os.listdir(lowerCAmelCase__      )
								else:
									a      :		Dict	=				[os.path.basename(self._tfds_path      )]

								for f_name in file_names:
									self._logger.info(f"""Looking at file {f_name}"""      )
									a      :		Any	=				os.path.join(lowerCAmelCase__      ,					lowerCAmelCase__      )
									a      :		Dict	=				os.path.join(lowerCAmelCase__      ,					lowerCAmelCase__      )

									if not os.path.isfile(lowerCAmelCase__      ) or "__init__" in f_name or "_test" in f_name or ".py" not in f_name:
										self._logger.info("Skipping file"      )
										continue

									with open(lowerCAmelCase__      ,					encoding="utf-8"      ) as f:
										a      :		Any	=				f.readlines()

									a      :		Tuple	=				[]
									a      :		Any	=				False
									a      :		Dict	=				False
									a      :		Dict	=				[]
									for line in lines:
										a      :		Tuple	=				line

										# Convert imports
										if "import tensorflow.compat.v2 as tf" in out_line:
											continue
										elif "@tfds.core" in out_line:
											continue
										elif "builder=self" in out_line:
											continue
										elif "import tensorflow_datasets.public_api as tfds" in out_line:
											a      :		Optional[int]	=				"import datasets\n"
										elif "import tensorflow" in out_line:
											# order is important here
											a      :		Optional[Any]	=				""
											continue
										elif "from absl import logging" in out_line:
											a      :		Any	=				"from datasets import logging\n"
										elif "getLogger" in out_line:
											a      :		int	=				out_line.replace("getLogger"      ,					"get_logger"      )
										elif any(expression in out_line for expression in TO_HIGHLIGHT      ):
											a      :		Optional[Any]	=				True
											a      :		Optional[Any]	=				list(filter(lambda lowerCAmelCase__      : e in out_line      ,					lowerCAmelCase__      )      )
											out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(lowerCAmelCase__      ) + "\n"      )
											out_lines.append(lowerCAmelCase__      )
											out_lines.append(lowerCAmelCase__      )
											continue
										else:
											for pattern, replacement in TO_CONVERT:
												a      :		int	=				re.sub(lowerCAmelCase__      ,					lowerCAmelCase__      ,					lowerCAmelCase__      )

                # Take care of saving utilities (to later move them together with main script)
										if "tensorflow_datasets" in out_line:
											a      :		int	=				re.match(R"from\stensorflow_datasets.*import\s([^\.\r\n]+)"      ,					lowerCAmelCase__      )
											tfds_imports.extend(imp.strip() for imp in match.group(1      ).split(","      )      )
											a      :		List[str]	=				"from . import " + match.group(1      )

										# Check we have not forget anything
										if "tf." in out_line or "tfds." in out_line or "tensorflow_datasets" in out_line:
											raise ValueError(f"""Error converting {out_line.strip()}"""      )

										if "GeneratorBasedBuilder" in out_line or "BeamBasedBuilder" in out_line:
											a      :		str	=				True
										out_lines.append(lowerCAmelCase__      )

									if is_builder or "wmt" in f_name:
										# We create a new directory for each dataset
										a      :		Tuple	=				f_name.replace(".py"      ,					""      )
										a      :		Optional[Any]	=				os.path.join(lowerCAmelCase__      ,					lowerCAmelCase__      )
										a      :		Dict	=				os.path.join(lowerCAmelCase__      ,					lowerCAmelCase__      )
										os.makedirs(lowerCAmelCase__      ,					exist_ok=lowerCAmelCase__      )
										self._logger.info(f"""Adding directory {output_dir}"""      )
										imports_to_builder_map.update({imp: output_dir for imp in tfds_imports}      )
									else:
										# Utilities will be moved at the end
										utils_files.append(lowerCAmelCase__      )

									if needs_manual_update:
										with_manual_update.append(lowerCAmelCase__      )

									with open(lowerCAmelCase__      ,					"w"      ,					encoding="utf-8"      ) as f:
										f.writelines(lowerCAmelCase__      )
									self._logger.info(f"""Converted in {output_file}"""      )

								for utils_file in utils_files:
									try:
										a      :		int	=				os.path.basename(lowerCAmelCase__      )
										a      :		int	=				imports_to_builder_map[f_name.replace(".py"      ,					""      )]
										self._logger.info(f"""Moving {dest_folder} to {utils_file}"""      )
										shutil.copy(lowerCAmelCase__      ,					lowerCAmelCase__      )
									except KeyError:
										self._logger.error(f"""Cannot find destination folder for {utils_file}. Please copy manually."""      )

								if with_manual_update:
									for file_path in with_manual_update:
										self._logger.warning(
										    f"""You need to manually update file {file_path} to remove configurations using 'TextEncoderConfig'."""      )


