


import json
from typing import 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_roberta import RobertaTokenizer


lowerCAmelCase	=							logging.get_logger(__name__)

lowerCAmelCase	=							{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase	=							{
    'vocab_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/vocab.json',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/vocab.json',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/vocab.json',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/merges.txt',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/merges.txt',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/merges.txt',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'
        ),
    },
    'tokenizer_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/tokenizer.json',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/tokenizer.json',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json',
        'roberta-base-openai-detector': (
            'https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json'
        ),
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json'
        ),
    },
}

lowerCAmelCase	=							{
    'roberta-base': 512,
    'roberta-large': 512,
    'roberta-large-mnli': 512,
    'distilroberta-base': 512,
    'roberta-base-openai-detector': 512,
    'roberta-large-openai-detector': 512,
}


class 	_a							(      UpperCamelCase__      ):
							_lowercase     :      Union[str, Any]  				=			VOCAB_FILES_NAMES
							_lowercase     :      Any  				=			PRETRAINED_VOCAB_FILES_MAP
							_lowercase     :      Any  				=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_lowercase     :      Optional[int]  				=			['''input_ids''', '''attention_mask''']
							_lowercase     :      Dict  				=			RobertaTokenizer

							def __init__(							self:     int   ,						UpperCamelCase_:     Any=None   ,						UpperCamelCase_:     Any=None   ,						UpperCamelCase_:     List[str]=None   ,						UpperCamelCase_:     Optional[int]="replace"   ,						UpperCamelCase_:     Any="<s>"   ,						UpperCamelCase_:     List[Any]="</s>"   ,						UpperCamelCase_:     Optional[Any]="</s>"   ,						UpperCamelCase_:     Dict="<s>"   ,						UpperCamelCase_:     List[Any]="<unk>"   ,						UpperCamelCase_:     Tuple="<pad>"   ,						UpperCamelCase_:     Any="<mask>"   ,						UpperCamelCase_:     Optional[Any]=False   ,						UpperCamelCase_:     int=True   ,						**UpperCamelCase_:     Optional[Any]   ,						)      ->       Optional[Any]:





									"""simple docstring"""







									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_   ,						)

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

									lowercase__						=				add_prefix_space

									lowercase__						=				'''post_processor'''
									lowercase__						=				getattr(self.backend_tokenizer   ,						UpperCamelCase_   ,						UpperCamelCase_							)
									if tokenizer_component_instance:
											lowercase__						=				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:
													lowercase__						=				tuple(state['''sep''']							)
											if "cls" in state:
													lowercase__						=				tuple(state['''cls''']							)

											lowercase__						=				False

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

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

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

							@property
							def 				lowerCamelCase_			(							self:     List[str]							)      ->       str:





									"""simple docstring"""







									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:     Dict   ,						UpperCamelCase_:     Tuple							)      ->       Tuple:





									"""simple docstring"""







									lowercase__						=				AddedToken(UpperCamelCase_   ,						lstrip=UpperCamelCase_   ,						rstrip=UpperCamelCase_							) if isinstance(UpperCamelCase_   ,						UpperCamelCase_							) else value
									lowercase__						=				value

							def 				lowerCamelCase_			(							self:     str   ,						*UpperCamelCase_:     Any   ,						**UpperCamelCase_:     List[Any]							)      ->       BatchEncoding:





									"""simple docstring"""







									lowercase__						=				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:     Any   ,						*UpperCamelCase_:     List[Any]   ,						**UpperCamelCase_:     int							)      ->       BatchEncoding:





									"""simple docstring"""







									lowercase__						=				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:     Optional[int]   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     Optional[str] = None							)      ->       Tuple[str]:





									"""simple docstring"""







									lowercase__						=				self._tokenizer.model.save(UpperCamelCase_   ,						name=UpperCamelCase_							)
									return tuple(UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     Union[str, Any]   ,						UpperCamelCase_:     Optional[Any]   ,						UpperCamelCase_:     str=None							)      ->       List[str]:





									"""simple docstring"""







									lowercase__						=				[self.bos_token_id] + token_ids_a + [self.eos_token_id]
									if token_ids_a is None:
											return output

									return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]


							def 				lowerCamelCase_			(							self:     Optional[Any]   ,						UpperCamelCase_:     List[int]   ,						UpperCamelCase_:     Optional[List[int]] = None							)      ->       List[int]:





									"""simple docstring"""







									lowercase__						=				[self.sep_token_id]
									lowercase__						=				[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]






from collections.abc import Sequence
from queue import Queue


class 	_a							:

							def __init__(							self:     Tuple   ,						UpperCamelCase_:     Optional[int]   ,						UpperCamelCase_:     int   ,						UpperCamelCase_:     Optional[Any]   ,						UpperCamelCase_:     Union[str, Any]=None   ,						UpperCamelCase_:     Dict=None							)      ->       Tuple:





									"""simple docstring"""







									lowercase__						=				start
									lowercase__						=				end
									lowercase__						=				val
									lowercase__						=				(start + end) // 2
									lowercase__						=				left
									lowercase__						=				right


							def __repr__(							self:     Optional[int]							)      ->       Optional[Any]:





									"""simple docstring"""







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


class 	_a							:

							def __init__(							self:     Any   ,						UpperCamelCase_:     Sequence   ,						UpperCamelCase_:     Any							)      ->       List[str]:





									"""simple docstring"""







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

							def 				lowerCamelCase_			(							self:     int   ,						UpperCamelCase_:     Union[str, Any]   ,						UpperCamelCase_:     Union[str, Any]							)      ->       Union[str, Any]:





									"""simple docstring"""







									self._update_tree(self.root   ,						UpperCamelCase_   ,						UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     str   ,						UpperCamelCase_:     int   ,						UpperCamelCase_:     List[str]							)      ->       Optional[Any]:





									"""simple docstring"""







									return self._query_range(self.root   ,						UpperCamelCase_   ,						UpperCamelCase_							)

							def 				lowerCamelCase_			(							self:     List[str]   ,						UpperCamelCase_:     Tuple   ,						UpperCamelCase_:     Dict							)      ->       str:





									"""simple docstring"""







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

							def 				lowerCamelCase_			(							self:     List[Any]   ,						UpperCamelCase_:     Dict   ,						UpperCamelCase_:     Tuple   ,						UpperCamelCase_:     Union[str, Any]							)      ->       Dict:





									"""simple docstring"""







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

							def 				lowerCamelCase_			(							self:     List[Any]   ,						UpperCamelCase_:     str   ,						UpperCamelCase_:     Dict   ,						UpperCamelCase_:     Dict							)      ->       List[Any]:





									"""simple docstring"""







									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:     Optional[int]							)      ->       str:





									"""simple docstring"""







									if self.root is not None:
											lowercase__						=				Queue()
											queue.put(self.root							)
											while not queue.empty():
													lowercase__						=				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()


