





"""simple docstring"""





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


lowercase__				:int				   =       logging.get_logger(__name__)

lowercase__				:Optional[int]				   =       {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowercase__				:str				   =       {
    'vocab_file': {
        'junnyu/roformer_chinese_small': 'https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_base': 'https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_char_small': (
            'https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_chinese_char_base': (
            'https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_discriminator': (
            'https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_generator': (
            'https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt'
        ),
    }
}

lowercase__				:int				   =       {
    'junnyu/roformer_chinese_small': 1_5_3_6,
    'junnyu/roformer_chinese_base': 1_5_3_6,
    'junnyu/roformer_chinese_char_small': 5_1_2,
    'junnyu/roformer_chinese_char_base': 5_1_2,
    'junnyu/roformer_small_discriminator': 1_2_8,
    'junnyu/roformer_small_generator': 1_2_8,
}


lowercase__				:Dict				   =       {
    'junnyu/roformer_chinese_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_base': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_base': {'do_lower_case': True},
    'junnyu/roformer_small_discriminator': {'do_lower_case': True},
    'junnyu/roformer_small_generator': {'do_lower_case': True},
}




class 							snake_case							(			__UpperCAmelCase ):

						'''simple docstring'''



						_A     :       Any         =       VOCAB_FILES_NAMES
						_A     :       List[str]         =       PRETRAINED_VOCAB_FILES_MAP
						_A     :       Union[str, Any]         =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_A     :       Tuple         =       PRETRAINED_INIT_CONFIGURATION
						_A     :       Dict         =       RoFormerTokenizer

						def __init__(							self       :      Optional[int]						,				__lowercase       :      Optional[Any]=None						,				__lowercase       :      Any=None						,				__lowercase       :      str=True						,				__lowercase       :      int="[UNK]"						,				__lowercase       :      List[Any]="[SEP]"						,				__lowercase       :      str="[PAD]"						,				__lowercase       :      Optional[Any]="[CLS]"						,				__lowercase       :      str="[MASK]"						,				__lowercase       :      List[Any]=True						,				__lowercase       :      Optional[int]=None						,				**__lowercase       :      List[Any]						,				):


								'''simple docstring'''




								super().__init__(
								    __lowercase						,				tokenizer_file=__lowercase						,				do_lower_case=__lowercase						,				unk_token=__lowercase						,				sep_token=__lowercase						,				pad_token=__lowercase						,				cls_token=__lowercase						,				mask_token=__lowercase						,				tokenize_chinese_chars=__lowercase						,				strip_accents=__lowercase						,				**__lowercase						,				)

								__UpperCAmelCase    :						Dict       =						json.loads(self.backend_tokenizer.normalizer.__getstate__() )
								if (
								    pre_tok_state.get('''lowercase'''						,				__lowercase ) != do_lower_case
								    or pre_tok_state.get('''strip_accents'''						,				__lowercase ) != strip_accents
								):
										__UpperCAmelCase    :						str       =						getattr(__lowercase						,				pre_tok_state.pop('''type''' ) )
										__UpperCAmelCase    :						List[Any]       =						do_lower_case
										__UpperCAmelCase    :						Dict       =						strip_accents
										__UpperCAmelCase    :						Any       =						pre_tok_class(**__lowercase )

								__UpperCAmelCase    :						Dict       =						do_lower_case

						def __getstate__(							self       :      int ):


								'''simple docstring'''




								__UpperCAmelCase    :						Optional[Any]       =						self.__dict__.copy()
								__UpperCAmelCase    :						Optional[int]       =						BertPreTokenizer()
								return state

						def __setstate__(							self       :      List[Any]						,				__lowercase       :      Any ):


								'''simple docstring'''




								__UpperCAmelCase    :						Union[str, Any]       =						d
								__UpperCAmelCase    :						Optional[Any]       =						self.__dict__['''_tokenizer'''].get_vocab()
								__UpperCAmelCase    :						Optional[int]       =						PreTokenizer.custom(JiebaPreTokenizer(__lowercase ) )

						def       A_					(							self       :      Optional[Any]						,				__lowercase       :      Any						,				__lowercase       :      List[Any]=None ):


								'''simple docstring'''




								__UpperCAmelCase    :						Union[str, Any]       =						[self.cls_token_id] + token_ids_a + [self.sep_token_id]

								if token_ids_a:
										output += token_ids_a + [self.sep_token_id]

								return output

						def       A_					(							self       :      List[str]						,				__lowercase       :      List[int]						,				__lowercase       :      Optional[List[int]] = None ):


								'''simple docstring'''




								__UpperCAmelCase    :						Optional[Any]       =						[self.sep_token_id]
								__UpperCAmelCase    :						List[str]       =						[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 ) * [0] + len(token_ids_a + sep ) * [1]

						def       A_					(							self       :      Optional[Any]						,				__lowercase       :      str						,				__lowercase       :      Optional[str] = None ):


								'''simple docstring'''




								__UpperCAmelCase    :						Any       =						self._tokenizer.model.save(__lowercase						,				name=__lowercase )
								return tuple(__lowercase )







						def       A_					(							self       :      Tuple						,				__lowercase       :      Optional[Any]						,				__lowercase       :      Optional[Any]=None						,				__lowercase       :      List[Any]=None						,				__lowercase       :      Union[str, Any]=False						,				**__lowercase       :      Tuple						,				):


								'''simple docstring'''




								__UpperCAmelCase    :						Union[str, Any]       =						BertPreTokenizer()
								return super().save_pretrained(__lowercase						,				__lowercase						,				__lowercase						,				__lowercase						,				**__lowercase )






"""simple docstring"""





from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

lowercase__				:int				   =       TypeVar('T')




class 							snake_case							(			Generic[T] ):

      '''simple docstring'''



      def __init__(							self       :      Optional[Any]						,				__lowercase       :      list[T]						,				__lowercase       :      Callable[[T, T], T] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Any | T       =						None

        __UpperCAmelCase    :						int       =						len(__lowercase )
        __UpperCAmelCase    :						list[T]       =						[any_type for _ in range(self.N )] + arr
        __UpperCAmelCase    :						List[Any]       =						fnc
        self.build()

      def       A_					(							self       :      str ):


        '''simple docstring'''




        for p in range(self.N - 1						,				0						,				-1 ):
          __UpperCAmelCase    :						Any       =						self.fn(self.st[p * 2]						,				self.st[p * 2 + 1] )

      def       A_					(							self       :      Union[str, Any]						,				__lowercase       :      int						,				__lowercase       :      T ):


        '''simple docstring'''




        p += self.N
        __UpperCAmelCase    :						Tuple       =						v
        while p > 1:
          __UpperCAmelCase    :						Union[str, Any]       =						p // 2
          __UpperCAmelCase    :						Any       =						self.fn(self.st[p * 2]						,				self.st[p * 2 + 1] )







      def       A_					(							self       :      str						,				__lowercase       :      int						,				__lowercase       :      int ):  # noqa: E741


        '''simple docstring'''




        __UpperCAmelCase       ,     __UpperCAmelCase    :						int       =						l + self.N, r + self.N

        __UpperCAmelCase    :						T | None       =						None
        while l <= r:
          if l % 2 == 1:
            __UpperCAmelCase    :						Any       =						self.st[l] if res is None else self.fn(__lowercase						,				self.st[l] )
          if r % 2 == 0:
            __UpperCAmelCase    :						Any       =						self.st[r] if res is None else self.fn(__lowercase						,				self.st[r] )
          __UpperCAmelCase       ,     __UpperCAmelCase    :						Any       =						(l + 1) // 2, (r - 1) // 2
        return res


if __name__ == "__main__":
  from functools import reduce

  lowercase__				:Any				   =       [1, 1_0, -2, 9, -3, 8, 4, -7, 5, 6, 1_1, -1_2]

  lowercase__				:List[Any]				   =       {
      0: 7,
      1: 2,
      2: 6,
      3: -1_4,
      4: 5,
      5: 4,
      6: 7,
      7: -1_0,
      8: 9,
      9: 1_0,
      1_0: 1_2,
      1_1: 1,
  }

  lowercase__				:List[str]				   =       SegmentTree(test_array, min)
  lowercase__				:List[str]				   =       SegmentTree(test_array, max)
  lowercase__				:Tuple				   =       SegmentTree(test_array, lambda a, b: a + b)


  def       lowerCamelCase_       (   )						->None:





    """simple docstring"""


    for i in range(len(UpperCAmelCase_  )  ):
      for j in range(UpperCAmelCase_  ,			len(UpperCAmelCase_  )  ):
        __UpperCAmelCase    :						Optional[Any]       =						reduce(UpperCAmelCase_  ,			test_array[i : j + 1]  )
        __UpperCAmelCase    :						Optional[int]       =						reduce(UpperCAmelCase_  ,			test_array[i : j + 1]  )
        __UpperCAmelCase    :						Union[str, Any]       =						reduce(lambda UpperCAmelCase_  ,			UpperCAmelCase_  : a + b  ,			test_array[i : j + 1]  )
        assert min_range == min_segment_tree.query(UpperCAmelCase_  ,			UpperCAmelCase_  )
        assert max_range == max_segment_tree.query(UpperCAmelCase_  ,			UpperCAmelCase_  )
        assert sum_range == sum_segment_tree.query(UpperCAmelCase_  ,			UpperCAmelCase_  )

  test_all_segments()

  for index, value in test_updates.items():
    lowercase__				:Optional[Any]				   =       value
    min_segment_tree.update(index, value)
    max_segment_tree.update(index, value)
    sum_segment_tree.update(index, value)
    test_all_segments()