






from __future__ import annotations

from collections import defaultdict
from dataclasses import dataclass

@dataclass
class        _SCREAMING_SNAKE_CASE			:
	snake_case__				:	int
	snake_case__				:	TreeNode | None	      =    None
	snake_case__				:	TreeNode | None	      =    None

def   SCREAMING_SNAKE_CASE_				(				)						->     TreeNode:






	"""simple docstring"""



	return TreeNode(3      ,     TreeNode(9   )      ,     TreeNode(20      ,     TreeNode(15   )      ,     TreeNode(7   )   )   )

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    TreeNode   )						->     list[int]:






	"""simple docstring"""



	def depth_first_search(
	    __magic_name__   :    TreeNode | None      ,     __magic_name__   :    int      ,     __magic_name__   :    list[int]   ) -> None:
		if not root:
			return

		if depth == len(__magic_name__   ):
			right_view.append(root.val   )

		depth_first_search(root.right      ,     depth + 1      ,     __magic_name__   )
		depth_first_search(root.left      ,     depth + 1      ,     __magic_name__   )

	UpperCamelCase	:list		=      []
	if not root:
		return right_view

	depth_first_search(__magic_name__      ,     0      ,     __magic_name__   )
	return right_view

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    TreeNode   )						->     list[int]:






	"""simple docstring"""



	def depth_first_search(
	    __magic_name__   :    TreeNode | None      ,     __magic_name__   :    int      ,     __magic_name__   :    list[int]   ) -> None:
		if not root:
			return

		if depth == len(__magic_name__   ):
			left_view.append(root.val   )

		depth_first_search(root.left      ,     depth + 1      ,     __magic_name__   )
		depth_first_search(root.right      ,     depth + 1      ,     __magic_name__   )

	UpperCamelCase	:list		=      []
	if not root:
		return left_view

	depth_first_search(__magic_name__      ,     0      ,     __magic_name__   )
	return left_view

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    TreeNode   )						->     list[int]:






	"""simple docstring"""



	def breadth_first_search(__magic_name__   :    TreeNode      ,     __magic_name__   :    list[int]   ) -> None:
		UpperCamelCase	:Union[str, Any]		=      [(root, 0)]
		UpperCamelCase	:List[str]		=      defaultdict(__magic_name__   )

		while queue:
			UpperCamelCase	:str		=      queue.pop(0   )
			UpperCamelCase	, UpperCamelCase	:Tuple		=      first

			lookup[hd].append(node.val   )

			if node.left:
				queue.append((node.left, hd - 1)   )
			if node.right:
				queue.append((node.right, hd + 1)   )

		for pair in sorted(lookup.items()      ,     key=lambda __magic_name__   : each[0]   ):
			top_view.append(pair[1][0]   )

	UpperCamelCase	:list		=      []
	if not root:
		return top_view

	breadth_first_search(__magic_name__      ,     __magic_name__   )
	return top_view

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    TreeNode   )						->     list[int]:






	"""simple docstring"""



	from collections import defaultdict

	def breadth_first_search(__magic_name__   :    TreeNode      ,     __magic_name__   :    list[int]   ) -> None:
		UpperCamelCase	:int		=      [(root, 0)]
		UpperCamelCase	:Optional[int]		=      defaultdict(__magic_name__   )

		while queue:
			UpperCamelCase	:List[Any]		=      queue.pop(0   )
			UpperCamelCase	, UpperCamelCase	:Tuple		=      first
			lookup[hd].append(node.val   )

			if node.left:
				queue.append((node.left, hd - 1)   )
			if node.right:
				queue.append((node.right, hd + 1)   )

		for pair in sorted(lookup.items()      ,     key=lambda __magic_name__   : each[0]   ):
			bottom_view.append(pair[1][-1]   )

	UpperCamelCase	:list		=      []
	if not root:
		return bottom_view

	breadth_first_search(__magic_name__      ,     __magic_name__   )
	return bottom_view


if __name__ == "__main__":
	import doctest

	doctest.testmod()








import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
	from .tokenization_xlm_roberta import XLMRobertaTokenizer
else:
	UpperCAmelCase_					:		str           = None


UpperCAmelCase_					:		int           = logging.get_logger(__name__)

UpperCAmelCase_					:		List[str]           = {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCAmelCase_					:		Any           = {
    '''vocab_file''': {
        '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/sentencepiece.bpe.model''',
        '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/sentencepiece.bpe.model''',
        '''xlm-roberta-large-finetuned-conll02-dutch''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/sentencepiece.bpe.model'''
        ),
        '''xlm-roberta-large-finetuned-conll02-spanish''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/sentencepiece.bpe.model'''
        ),
        '''xlm-roberta-large-finetuned-conll03-english''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/sentencepiece.bpe.model'''
        ),
        '''xlm-roberta-large-finetuned-conll03-german''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json''',
        '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/tokenizer.json''',
        '''xlm-roberta-large-finetuned-conll02-dutch''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/tokenizer.json'''
        ),
        '''xlm-roberta-large-finetuned-conll02-spanish''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/tokenizer.json'''
        ),
        '''xlm-roberta-large-finetuned-conll03-english''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/tokenizer.json'''
        ),
        '''xlm-roberta-large-finetuned-conll03-german''': (
            '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/tokenizer.json'''
        ),
    },
}

UpperCAmelCase_					:		Any           = {
    '''xlm-roberta-base''': 5_12,
    '''xlm-roberta-large''': 5_12,
    '''xlm-roberta-large-finetuned-conll02-dutch''': 5_12,
    '''xlm-roberta-large-finetuned-conll02-spanish''': 5_12,
    '''xlm-roberta-large-finetuned-conll03-english''': 5_12,
    '''xlm-roberta-large-finetuned-conll03-german''': 5_12,
}

class        _SCREAMING_SNAKE_CASE			(     _a ):
	snake_case__				:	Dict	      =    VOCAB_FILES_NAMES
	snake_case__				:	Optional[int]	      =    PRETRAINED_VOCAB_FILES_MAP
	snake_case__				:	str	      =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	snake_case__				:	int	      =    ["""input_ids""", """attention_mask"""]
	snake_case__				:	Dict	      =    XLMRobertaTokenizer





	def __init__(						self							:   List[str]					,    __lowerCamelCase							:   List[Any]=None					,    __lowerCamelCase							:   int=None					,    __lowerCamelCase							:   Dict="<s>"					,    __lowerCamelCase							:   Optional[int]="</s>"					,    __lowerCamelCase							:   int="</s>"					,    __lowerCamelCase							:   Dict="<s>"					,    __lowerCamelCase							:   Optional[Any]="<unk>"					,    __lowerCamelCase							:   Union[str, Any]="<pad>"					,    __lowerCamelCase							:   Any="<mask>"					,    **__lowerCamelCase							:   List[str]					,    ):
		# Mask token behave like a normal word, i.e. include the space before it
		UpperCamelCase	:int		=      AddedToken(__lowerCamelCase					,    lstrip=__lowerCamelCase					,    rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase					,    __lowerCamelCase      ) else mask_token

		super().__init__(
		    __lowerCamelCase					,    tokenizer_file=__lowerCamelCase					,    bos_token=__lowerCamelCase					,    eos_token=__lowerCamelCase					,    sep_token=__lowerCamelCase					,    cls_token=__lowerCamelCase					,    unk_token=__lowerCamelCase					,    pad_token=__lowerCamelCase					,    mask_token=__lowerCamelCase					,    **__lowerCamelCase					,    )

		UpperCamelCase	:Optional[int]		=      vocab_file
		UpperCamelCase	:List[Any]		=      False if not self.vocab_file else True





	def 		_A					(						self							:   Dict					,    __lowerCamelCase							:   List[int]					,    __lowerCamelCase							:   Optional[List[int]] = None      ):

		if token_ids_a is None:
			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
		UpperCamelCase	:int		=      [self.cls_token_id]
		UpperCamelCase	:Any		=      [self.sep_token_id]
		return cls + token_ids_a + sep + sep + token_ids_a + sep





	def 		_A					(						self							:   List[str]					,    __lowerCamelCase							:   List[int]					,    __lowerCamelCase							:   Optional[List[int]] = None      ):
		UpperCamelCase	:str		=      [self.sep_token_id]
		UpperCamelCase	:int		=      [self.cls_token_id]

		if token_ids_a is None:
			return len(cls + token_ids_a + sep      ) * [0]
		return len(cls + token_ids_a + sep + sep + token_ids_a + sep      ) * [0]





	def 		_A					(						self							:   Optional[int]					,    __lowerCamelCase							:   str					,    __lowerCamelCase							:   Optional[str] = None      ):
		if not self.can_save_slow_tokenizer:
			raise ValueError(
			    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
			    """tokenizer."""      )

		if not os.path.isdir(__lowerCamelCase      ):
			logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""      )
			return
		UpperCamelCase	:Union[str, Any]		=      os.path.join(
		    __lowerCamelCase					,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]      )

		if os.path.abspath(self.vocab_file      ) != os.path.abspath(__lowerCamelCase      ):
			copyfile(self.vocab_file					,    __lowerCamelCase      )

		return (out_vocab_file,)
