

"""simple docstring"""






import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot import BlenderbotTokenizer


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation

__lowerCamelCase										=		logging.get_logger(__name__)


__lowerCamelCase										=		{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

__lowerCamelCase										=		{
    "vocab_file": {"facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json"},
    "merges_file": {"facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt"},
    "tokenizer_config_file": {
        "facebook/blenderbot-3B": "https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json"
    },
}

__lowerCamelCase										=		{"facebook/blenderbot-3B": 1_28}
class        _lowercase					(     __UpperCAmelCase     ):
     _lowerCamelCase     =       VOCAB_FILES_NAMES
     _lowerCamelCase     =       PRETRAINED_VOCAB_FILES_MAP
     _lowerCamelCase     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _lowerCamelCase     =       ['''input_ids''', '''attention_mask''']
     _lowerCamelCase     =       BlenderbotTokenizer







     def __init__(      self ,						UpperCamelCase_=None ,						UpperCamelCase_=None ,						UpperCamelCase_=None ,						UpperCamelCase_="replace" ,						UpperCamelCase_="<s>" ,						UpperCamelCase_="</s>" ,						UpperCamelCase_="</s>" ,						UpperCamelCase_="<s>" ,						UpperCamelCase_="<unk>" ,						UpperCamelCase_="<pad>" ,						UpperCamelCase_="<mask>" ,						UpperCamelCase_=False ,						UpperCamelCase_=True ,						**UpperCamelCase_ ,						):
      super().__init__(
          UpperCamelCase_ ,						UpperCamelCase_ ,						tokenizer_file=UpperCamelCase_ ,						errors=UpperCamelCase_ ,						bos_token=UpperCamelCase_ ,						eos_token=UpperCamelCase_ ,						sep_token=UpperCamelCase_ ,						cls_token=UpperCamelCase_ ,						unk_token=UpperCamelCase_ ,						pad_token=UpperCamelCase_ ,						mask_token=UpperCamelCase_ ,						add_prefix_space=UpperCamelCase_ ,						trim_offsets=UpperCamelCase_ ,						**UpperCamelCase_ ,						)

      __magic_name__     =      json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
      if pre_tok_state.get('''add_prefix_space''' ,						UpperCamelCase_       ) != add_prefix_space:
       __magic_name__     =      getattr(UpperCamelCase_ ,						pre_tok_state.pop('''type'''       )       )
       __magic_name__     =      add_prefix_space
       __magic_name__     =      pre_tok_class(**UpperCamelCase_       )

      __magic_name__     =      add_prefix_space

      __magic_name__     =      '''post_processor'''
      __magic_name__     =      getattr(self.backend_tokenizer ,						UpperCamelCase_ ,						UpperCamelCase_       )
      if tokenizer_component_instance:
       __magic_name__     =      json.loads(tokenizer_component_instance.__getstate__()       )

       # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
       if "sep" in state:
        __magic_name__     =      tuple(state['''sep''']       )
       if "cls" in state:
        __magic_name__     =      tuple(state['''cls''']       )

       __magic_name__     =      False

       if state.get('''add_prefix_space''' ,						UpperCamelCase_       ) != add_prefix_space:
        __magic_name__     =      add_prefix_space
        __magic_name__     =      True

       if state.get('''trim_offsets''' ,						UpperCamelCase_       ) != trim_offsets:
        __magic_name__     =      trim_offsets
        __magic_name__     =      True

       if changes_to_apply:
        __magic_name__     =      getattr(UpperCamelCase_ ,						state.pop('''type'''       )       )
        __magic_name__     =      component_class(**UpperCamelCase_       )
        setattr(self.backend_tokenizer ,						UpperCamelCase_ ,						UpperCamelCase_       )







     @property
     # Copied from transformers.models.roberta.tokenization_roberta_fast.RobertaTokenizerFast.mask_token with Roberta->Blenderbot, RoBERTa->Blenderbot
     def 	lowerCAmelCase__    (      self       ):
      if self._mask_token is None:
       if self.verbose:
        logger.error('''Using mask_token, but it is not set yet.'''       )
       return None
      return str(self._mask_token       )







     @mask_token.setter
     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      __magic_name__     =      AddedToken(UpperCamelCase_ ,						lstrip=UpperCamelCase_ ,						rstrip=UpperCamelCase_       ) if isinstance(UpperCamelCase_ ,						UpperCamelCase_       ) else value
      __magic_name__     =      value







     def 	lowerCAmelCase__    (      self ,						*UpperCamelCase_ ,						**UpperCamelCase_       ):
      __magic_name__     =      kwargs.get('''is_split_into_words''' ,						UpperCamelCase_       )
      assert self.add_prefix_space or not is_split_into_words, (
          f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
          "to use it with pretokenized inputs."
      )

      return super()._batch_encode_plus(*UpperCamelCase_ ,						**UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						*UpperCamelCase_ ,						**UpperCamelCase_       ):
      __magic_name__     =      kwargs.get('''is_split_into_words''' ,						UpperCamelCase_       )

      assert self.add_prefix_space or not is_split_into_words, (
          f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
          "to use it with pretokenized inputs."
      )

      return super()._encode_plus(*UpperCamelCase_ ,						**UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ = None       ):
      __magic_name__     =      self._tokenizer.model.save(UpperCamelCase_ ,						name=UpperCamelCase_       )
      return tuple(UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ = None       ):
      __magic_name__     =      [self.sep_token_id]
      __magic_name__     =      [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 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ = None       ):
      return token_ids_a + [self.eos_token_id]







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      __magic_name__     =      []
      for is_user, text in conversation.iter_texts():
       if is_user:
        # We need to space prefix as it's being done within blenderbot
        inputs.append(''' ''' + text       )
       else:
        # Generated responses should contain them already.
        inputs.append(UpperCamelCase_       )

      __magic_name__     =      '''  '''.join(UpperCamelCase_       )
      __magic_name__     =      self.encode(UpperCamelCase_       )
      if len(UpperCamelCase_       ) > self.model_max_length:
       __magic_name__     =      input_ids[-self.model_max_length :]
       logger.warning(f'''Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'''       )
      return input_ids




"""simple docstring"""






from collections.abc import Sequence
from queue import Queue
class        _lowercase					:







     def __init__(      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_=None ,						UpperCamelCase_=None       ):
      __magic_name__     =      start
      __magic_name__     =      end
      __magic_name__     =      val
      __magic_name__     =      (start + end) // 2
      __magic_name__     =      left
      __magic_name__     =      right







     def __repr__(      self       ):
      return f'''SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'''


class        _lowercase					:







     def __init__(      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      __magic_name__     =      collection
      __magic_name__     =      function
      if self.collection:
       __magic_name__     =      self._build_tree(0 ,						len(UpperCamelCase_       ) - 1       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      self._update_tree(self.root ,						UpperCamelCase_ ,						UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      return self._query_range(self.root ,						UpperCamelCase_ ,						UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      if start == end:
       return SegmentTreeNode(UpperCamelCase_ ,						UpperCamelCase_ ,						self.collection[start]       )
      __magic_name__     =      (start + end) // 2
      __magic_name__     =      self._build_tree(UpperCamelCase_ ,						UpperCamelCase_       )
      __magic_name__     =      self._build_tree(mid + 1 ,						UpperCamelCase_       )
      return SegmentTreeNode(UpperCamelCase_ ,						UpperCamelCase_ ,						self.fn(left.val ,						right.val       ) ,						UpperCamelCase_ ,						UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      if node.start == i and node.end == i:
       __magic_name__     =      val
       return
      if i <= node.mid:
       self._update_tree(node.left ,						UpperCamelCase_ ,						UpperCamelCase_       )
      else:
       self._update_tree(node.right ,						UpperCamelCase_ ,						UpperCamelCase_       )
      __magic_name__     =      self.fn(node.left.val ,						node.right.val       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      if node.start == i and node.end == j:
       return node.val

      if i <= node.mid:
       if j <= node.mid:
        # range in left child tree
        return self._query_range(node.left ,						UpperCamelCase_ ,						UpperCamelCase_       )
       else:
        # range in left child tree and right child tree
        return self.fn(
            self._query_range(node.left ,						UpperCamelCase_ ,						node.mid       ) ,						self._query_range(node.right ,						node.mid + 1 ,						UpperCamelCase_       ) ,						)
      else:
       # range in right child tree
       return self._query_range(node.right ,						UpperCamelCase_ ,						UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self       ):
      if self.root is not None:
       __magic_name__     =      Queue()
       queue.put(self.root       )
       while not queue.empty():
        __magic_name__     =      queue.get()
        yield node

        if node.left is not None:
         queue.put(node.left       )

        if node.right is not None:
         queue.put(node.right       )


if __name__ == "__main__":
 import operator

 for fn in [operator.add, max, min]:
  print("*" * 50)
  __lowerCamelCase										=		SegmentTree([2, 1, 5, 3, 4], fn)
  for node in arr.traverse():
   print(node)
  print()

  arr.update(1, 5)
  for node in arr.traverse():
   print(node)
  print()

  print(arr.query_range(3, 4))  # 7
  print(arr.query_range(2, 2))  # 5
  print(arr.query_range(1, 3))  # 13
  print()

