
"""simple docstring"""





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

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
		from transformers.pipelines.conversational import Conversation


UpperCamelCase_       :    Tuple						      =			logging.get_logger(__name__)

UpperCamelCase_       :    List[Any]						      =			{'tokenizer_file': 'tokenizer.json'}

UpperCamelCase_       :    Union[str, Any]						      =			{
    'tokenizer_file': {
        'bigscience/tokenizer': 'https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json',
        'bigscience/bloom-560m': 'https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json',
        'bigscience/bloom-1b1': 'https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json',
        'bigscience/bloom-1b7': 'https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json',
        'bigscience/bloom-3b': 'https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json',
        'bigscience/bloom-7b1': 'https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json',
        'bigscience/bloom': 'https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json',
    },
}



class __lowerCAmelCase					(       _lowerCamelCase   ):




			"""simple docstring"""







			snake_case						   =					VOCAB_FILES_NAMES
			snake_case						   =					PRETRAINED_VOCAB_FILES_MAP
			snake_case						   =					["input_ids", "attention_mask"]
			snake_case						   =					None




			def __init__(					self    :       Any							, _snake_case    :       Union[str, Any]=None							, _snake_case    :       Tuple=None							, _snake_case    :       Dict=None							, _snake_case    :       Union[str, Any]="<unk>"							, _snake_case    :       Optional[Any]="<s>"							, _snake_case    :       Dict="</s>"							, _snake_case    :       List[Any]="<pad>"							, _snake_case    :       Optional[Any]=False							, _snake_case    :       Dict=False							, **_snake_case    :       str							, )   ->			Optional[Any]:







								"""simple docstring"""
								super().__init__(
								    lowercase_							, lowercase_							, tokenizer_file=lowercase_							, unk_token=lowercase_							, bos_token=lowercase_							, eos_token=lowercase_							, pad_token=lowercase_							, add_prefix_space=lowercase_							, clean_up_tokenization_spaces=lowercase_							, **lowercase_							, )
								A_								=    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
								if pre_tok_state.get("add_prefix_space"							, lowercase_						) != add_prefix_space:
													A_								=    getattr(lowercase_							, pre_tok_state.pop("type"						)						)
													A_								=    add_prefix_space
													A_								=    pre_tok_class(**lowercase_						)

								A_								=    add_prefix_space




			def   lowerCamelCase__  (					self    :       List[str]							, *_snake_case    :       List[str]							, **_snake_case    :       Any						)   ->			int:







								"""simple docstring"""
								A_								=    kwargs.get("is_split_into_words"							, lowercase_						)
								if not (self.add_prefix_space or not is_split_into_words):
													raise Exception(
													    F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'
													    " pretokenized inputs."						)

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




			def   lowerCamelCase__  (					self    :       List[Any]							, *_snake_case    :       Dict							, **_snake_case    :       Any						)   ->			Tuple:







								"""simple docstring"""
								A_								=    kwargs.get("is_split_into_words"							, lowercase_						)

								if not (self.add_prefix_space or not is_split_into_words):
													raise Exception(
													    F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'
													    " pretokenized inputs."						)

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




			def   lowerCamelCase__  (					self    :       Optional[int]							, _snake_case    :       str							, _snake_case    :       Optional[str] = None						)   ->			List[str]:







								"""simple docstring"""
								A_								=    self._tokenizer.model.save(lowercase_							, name=lowercase_						)
								return tuple(lowercase_						)






			def   lowerCamelCase__  (					self    :       Optional[Any]							, _snake_case    :       "Conversation"						)   ->			Tuple:







								"""simple docstring"""
								A_								=    []
								for is_user, text in conversation.iter_texts():
													input_ids.extend(self.encode(lowercase_							, add_special_tokens=lowercase_						) + [self.eos_token_id]						)

								if len(lowercase_						) > self.model_max_length:
													A_								=    input_ids[-self.model_max_length :]
								return input_ids










'''simple docstring'''

from collections.abc import Sequence
from queue import Queue






class 		a							:


				def __init__(						self       :   List[str]			,							lowercase_       :   str			,							lowercase_       :   List[Any]			,							lowercase_       :   Dict			,							lowercase_       :   int=None			,							lowercase_       :   List[Any]=None   ):
									snake_case_		     =							start
									snake_case_		     =							end
									snake_case_		     =							val
									snake_case_		     =							(start + end) // 2
									snake_case_		     =							left
									snake_case_		     =							right


				def __repr__(						self       :   Any   ):
									return F"SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"







class 		a							:


				def __init__(						self       :   Any			,							lowercase_       :   Sequence			,							lowercase_       :   List[str]   ):
									snake_case_		     =							collection
									snake_case_		     =							function
									if self.collection:
														snake_case_		     =							self._build_tree(0			,							len(lowercase_   ) - 1   )


				def     A_					(						self       :   Any			,							lowercase_       :   Dict			,							lowercase_       :   Dict   ):
									self._update_tree(self.root			,							lowercase_			,							lowercase_   )


				def     A_					(						self       :   Optional[Any]			,							lowercase_       :   Tuple			,							lowercase_       :   Optional[int]   ):
									return self._query_range(self.root			,							lowercase_			,							lowercase_   )


				def     A_					(						self       :   str			,							lowercase_       :   int			,							lowercase_       :   int   ):
									if start == end:
														return SegmentTreeNode(lowercase_			,							lowercase_			,							self.collection[start]   )
									snake_case_		     =							(start + end) // 2
									snake_case_		     =							self._build_tree(lowercase_			,							lowercase_   )
									snake_case_		     =							self._build_tree(mid + 1			,							lowercase_   )
									return SegmentTreeNode(lowercase_			,							lowercase_			,							self.fn(left.val			,							right.val   )			,							lowercase_			,							lowercase_   )


				def     A_					(						self       :   Optional[int]			,							lowercase_       :   int			,							lowercase_       :   Optional[Any]			,							lowercase_       :   List[str]   ):
									if node.start == i and node.end == i:
														snake_case_		     =							val
														return
									if i <= node.mid:
														self._update_tree(node.left			,							lowercase_			,							lowercase_   )
									else:
														self._update_tree(node.right			,							lowercase_			,							lowercase_   )
									snake_case_		     =							self.fn(node.left.val			,							node.right.val   )


				def     A_					(						self       :   Tuple			,							lowercase_       :   List[Any]			,							lowercase_       :   List[Any]			,							lowercase_       :   Any   ):
									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			,							lowercase_			,							lowercase_   )
														else:
																			# range in left child tree and right child tree
																			return self.fn(
																			    self._query_range(node.left			,							lowercase_			,							node.mid   )			,							self._query_range(node.right			,							node.mid + 1			,							lowercase_   )			,							)
									else:
														# range in right child tree
														return self._query_range(node.right			,							lowercase_			,							lowercase_   )


				def     A_					(						self       :   Any   ):
									if self.root is not None:
														snake_case_		     =							Queue()
														queue.put(self.root   )
														while not queue.empty():
																			snake_case_		     =							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)
														a    :							List[Any]										=    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()

