





"""simple docstring"""





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:
    _lowerCamelCase  					=     None


_lowerCamelCase  					=     logging.get_logger(__name__)

_lowerCamelCase  					=     {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

_lowerCamelCase  					=     {
    '''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'''
        ),
    },
}

_lowerCamelCase  					=     {
    '''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       snake_case		(       __UpperCAmelCase       ):
      lowerCamelCase__      =			VOCAB_FILES_NAMES
      lowerCamelCase__      =			PRETRAINED_VOCAB_FILES_MAP
      lowerCamelCase__      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCamelCase__      =			['''input_ids''', '''attention_mask''']
      lowerCamelCase__      =			XLMRobertaTokenizer

      def __init__(      self       :Optional[int]						,							_lowerCamelCase       :str=None						,							_lowerCamelCase       :List[Any]=None						,							_lowerCamelCase       :Union[str, Any]="<s>"						,							_lowerCamelCase       :List[Any]="</s>"						,							_lowerCamelCase       :Optional[Any]="</s>"						,							_lowerCamelCase       :Any="<s>"						,							_lowerCamelCase       :List[str]="<unk>"						,							_lowerCamelCase       :int="<pad>"						,							_lowerCamelCase       :Union[str, Any]="<mask>"						,							**_lowerCamelCase       :List[str]						,							):
       # Mask token behave like a normal word, i.e. include the space before it
       __SCREAMING_SNAKE_CASE			:      Tuple 							=	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						,							)

       __SCREAMING_SNAKE_CASE			:      Union[str, Any] 							=	vocab_file
       __SCREAMING_SNAKE_CASE			:      Optional[int] 							=	False if not self.vocab_file else True

      def 						SCREAMING_SNAKE_CASE_      (      self       :Any						,							_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]
       __SCREAMING_SNAKE_CASE			:      List[str] 							=	[self.cls_token_id]
       __SCREAMING_SNAKE_CASE			:      int 							=	[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep

      def 						SCREAMING_SNAKE_CASE_      (      self       :str						,							_lowerCamelCase       :List[int]						,							_lowerCamelCase       :Optional[List[int]] = None						):
       __SCREAMING_SNAKE_CASE			:      Dict 							=	[self.sep_token_id]
       __SCREAMING_SNAKE_CASE			:      Union[str, Any] 							=	[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 						SCREAMING_SNAKE_CASE_      (      self       :str						,							_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
       __SCREAMING_SNAKE_CASE			:      Tuple 							=	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,)








"""simple docstring"""





import math





class       snake_case		:

      def __init__(      self       :Optional[Any]						,							_lowerCamelCase       :Dict						):
       __SCREAMING_SNAKE_CASE			:      str 							=	len(_lowerCamelCase						)
       __SCREAMING_SNAKE_CASE			:      Optional[int] 							=	[0] * (
           4 * self.N
       )  # approximate the overall size of segment tree with array N
       self.build(1						,							0						,							self.N - 1						)

      def 						SCREAMING_SNAKE_CASE_      (      self       :Union[str, Any]						,							_lowerCamelCase       :List[str]						):
       return idx * 2

      def 						SCREAMING_SNAKE_CASE_      (      self       :Tuple						,							_lowerCamelCase       :Optional[Any]						):
       return idx * 2 + 1

      def 						SCREAMING_SNAKE_CASE_      (      self       :int						,							_lowerCamelCase       :Optional[Any]						,							_lowerCamelCase       :Union[str, Any]						,							_lowerCamelCase       :str						):  # noqa: E741
       if l == r:
        __SCREAMING_SNAKE_CASE			:      Union[str, Any] 							=	A[l]
       else:
        __SCREAMING_SNAKE_CASE			:      Dict 							=	(l + r) // 2
        self.build(self.left(_lowerCamelCase						)						,							_lowerCamelCase						,							_lowerCamelCase						)
        self.build(self.right(_lowerCamelCase						)						,							mid + 1						,							_lowerCamelCase						)
        __SCREAMING_SNAKE_CASE			:      List[Any] 							=	max(self.st[self.left(_lowerCamelCase						)]						,							self.st[self.right(_lowerCamelCase						)]						)

      def 						SCREAMING_SNAKE_CASE_      (      self       :Tuple						,							_lowerCamelCase       :Optional[Any]						,							_lowerCamelCase       :Optional[Any]						,							_lowerCamelCase       :Union[str, Any]						):
       return self.update_recursive(1						,							0						,							self.N - 1						,							a - 1						,							b - 1						,							_lowerCamelCase						)

      def 						SCREAMING_SNAKE_CASE_      (      self       :Optional[int]						,							_lowerCamelCase       :Optional[Any]						,							_lowerCamelCase       :Any						,							_lowerCamelCase       :Union[str, Any]						,							_lowerCamelCase       :Optional[Any]						,							_lowerCamelCase       :str						,							_lowerCamelCase       :Optional[Any]						):  # noqa: E741
       if r < a or l > b:
        return True
       if l == r:
        __SCREAMING_SNAKE_CASE			:      Union[str, Any] 							=	val
        return True
       __SCREAMING_SNAKE_CASE			:      List[Any] 							=	(l + r) // 2
       self.update_recursive(self.left(_lowerCamelCase						)						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						)
       self.update_recursive(self.right(_lowerCamelCase						)						,							mid + 1						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						)
       __SCREAMING_SNAKE_CASE			:      Union[str, Any] 							=	max(self.st[self.left(_lowerCamelCase						)]						,							self.st[self.right(_lowerCamelCase						)]						)
       return True

      def 						SCREAMING_SNAKE_CASE_      (      self       :Tuple						,							_lowerCamelCase       :str						,							_lowerCamelCase       :Any						):
       return self.query_recursive(1						,							0						,							self.N - 1						,							a - 1						,							b - 1						)

      def 						SCREAMING_SNAKE_CASE_      (      self       :str						,							_lowerCamelCase       :Dict						,							_lowerCamelCase       :str						,							_lowerCamelCase       :Union[str, Any]						,							_lowerCamelCase       :Optional[Any]						,							_lowerCamelCase       :Any						):  # noqa: E741
       if r < a or l > b:
        return -math.inf
       if l >= a and r <= b:
        return self.st[idx]
       __SCREAMING_SNAKE_CASE			:      List[str] 							=	(l + r) // 2
       __SCREAMING_SNAKE_CASE			:      Any 							=	self.query_recursive(self.left(_lowerCamelCase						)						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						)
       __SCREAMING_SNAKE_CASE			:      Optional[int] 							=	self.query_recursive(self.right(_lowerCamelCase						)						,							mid + 1						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						)
       return max(_lowerCamelCase						,							_lowerCamelCase						)



      def 						SCREAMING_SNAKE_CASE_      (      self       :Dict						):
       __SCREAMING_SNAKE_CASE			:      str 							=	[]
       for i in range(1						,							N + 1						):
        show_list += [self.query(_lowerCamelCase						,							_lowerCamelCase						)]
       print(_lowerCamelCase						)


if __name__ == "__main__":
    _lowerCamelCase  					=     [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
    _lowerCamelCase  					=     15
    _lowerCamelCase  					=     SegmentTree(A)
    print(segt.query(4, 6))
    print(segt.query(7, 11))
    print(segt.query(7, 12))
    segt.update(1, 3, 1_11)
    print(segt.query(1, 15))
    segt.update(7, 8, 2_35)
    segt.show_data()

