






'''simple docstring'''





import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


a_      = logging.get_logger(__name__)


a_      = {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
a_      = {
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
}

a_      = {
    '''RUCAIBox/mvp''': 1_024,
}



@lru_cache()
def 			__UpperCAmelCase				()		->				Optional[Any]:

						'''simple docstring'''


						a_				     =   (
						    list(range(ord("!"				)	,ord("~"				) + 1				)				) + list(range(ord("¡"				)	,ord("¬"				) + 1				)				) + list(range(ord("®"				)	,ord("ÿ"				) + 1				)				)
						)
						a_				     =   bs[:]
						a_				     =   0
						for b in range(2**8				):
												if b not in bs:
																		bs.append(lowercase__				)
																		cs.append(2**8 + n				)
																		n += 1
						a_				     =   [chr(lowercase__				) for n in cs]
						return dict(zip(lowercase__	,lowercase__				)				)



def 			__UpperCAmelCase				(lowercase__				)		->				Dict:

						'''simple docstring'''


						a_				     =   set()
						a_				     =   word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)				)
												a_				     =   char
						return pairs





class 		SCREAMING_SNAKE_CASE__   (     lowercase__    ):
		_UpperCAmelCase         =VOCAB_FILES_NAMES
		_UpperCAmelCase         =PRETRAINED_VOCAB_FILES_MAP
		_UpperCAmelCase         =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_UpperCAmelCase         =["""input_ids""", """attention_mask"""]



		def __init__(    self:    Optional[int]				,   a:    Optional[int]				,   a:    Union[str, Any]				,   a:    Union[str, Any]="replace"				,   a:    Tuple="<s>"				,   a:    str="</s>"				,   a:    List[Any]="</s>"				,   a:    List[str]="<s>"				,   a:    Dict="<unk>"				,   a:    List[Any]="<pad>"				,   a:    List[str]="<mask>"				,   a:    Optional[Any]=False				,   **a:    Union[str, Any]				,   )  ->Dict:






								'''simple docstring'''


								a_				     =   AddedToken(_A				,   lstrip=_A				,   rstrip=_A) if isinstance(_A				,   _A) else bos_token
								a_				     =   AddedToken(_A				,   lstrip=_A				,   rstrip=_A) if isinstance(_A				,   _A) else eos_token
								a_				     =   AddedToken(_A				,   lstrip=_A				,   rstrip=_A) if isinstance(_A				,   _A) else sep_token
								a_				     =   AddedToken(_A				,   lstrip=_A				,   rstrip=_A) if isinstance(_A				,   _A) else cls_token
								a_				     =   AddedToken(_A				,   lstrip=_A				,   rstrip=_A) if isinstance(_A				,   _A) else unk_token
								a_				     =   AddedToken(_A				,   lstrip=_A				,   rstrip=_A) if isinstance(_A				,   _A) else pad_token

								# Mask token behave like a normal word, i.e. include the space before it
								a_				     =   AddedToken(_A				,   lstrip=_A				,   rstrip=_A) if isinstance(_A				,   _A) else mask_token

								super().__init__(
								    errors=_A				,   bos_token=_A				,   eos_token=_A				,   unk_token=_A				,   sep_token=_A				,   cls_token=_A				,   pad_token=_A				,   mask_token=_A				,   add_prefix_space=_A				,   **_A				,   )
								with open(_A				,   encoding="utf-8") as vocab_handle:
														a_				     =   json.load(_A)
								a_				     =   {v: k for k, v in self.encoder.items()}
								a_				     =   errors  # how to handle errors in decoding
								a_				     =   bytes_to_unicode()
								a_				     =   {v: k for k, v in self.byte_encoder.items()}
								with open(_A				,   encoding="utf-8") as merges_handle:
														a_				     =   merges_handle.read().split("\n")[1:-1]
								a_				     =   [tuple(merge.split()) for merge in bpe_merges]
								a_				     =   dict(zip(_A				,   range(len(_A))))
								a_				     =   {}
								a_				     =   add_prefix_space

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								a_				     =   re.compile(r"\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+")



		@property
		def _lowerCAmelCase     (    self:    Any)  ->Optional[int]:






								'''simple docstring'''


								return len(self.encoder)



		def _lowerCAmelCase     (    self:    List[Any])  ->List[Any]:






								'''simple docstring'''


								return dict(self.encoder				,   **self.added_tokens_encoder)



		def _lowerCAmelCase     (    self:    str				,   a:    Optional[Any])  ->Tuple:






								'''simple docstring'''


								if token in self.cache:
														return self.cache[token]
								a_				     =   tuple(_A)
								a_				     =   get_pairs(_A)

								if not pairs:
														return token

								while True:
														a_				     =   min(_A				,   key=lambda a: self.bpe_ranks.get(_A				,   float("inf")))
														if bigram not in self.bpe_ranks:
																				break
														a_				     =   bigram
														a_				     =   []
														a_				     =   0
														while i < len(_A):
																				try:
																										a_				     =   word.index(_A				,   _A)
																				except ValueError:
																										new_word.extend(word[i:])
																										break
																				else:
																										new_word.extend(word[i:j])
																										a_				     =   j

																				if word[i] == first and i < len(_A) - 1 and word[i + 1] == second:
																										new_word.append(first + second)
																										i += 2
																				else:
																										new_word.append(word[i])
																										i += 1
														a_				     =   tuple(_A)
														a_				     =   new_word
														if len(_A) == 1:
																				break
														else:
																				a_				     =   get_pairs(_A)
								a_				     =   ' '.join(_A)
								a_				     =   word
								return word



		def _lowerCAmelCase     (    self:    Dict				,   a:    List[Any])  ->int:






								'''simple docstring'''


								a_				     =   []
								for token in re.findall(self.pat				,   _A):
														a_				     =   ''.join(
														    self.byte_encoder[b] for b in token.encode("utf-8"))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
														bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_A).split(" "))
								return bpe_tokens



		def _lowerCAmelCase     (    self:    Optional[Any]				,   a:    Any)  ->Any:






								'''simple docstring'''


								return self.encoder.get(_A				,   self.encoder.get(self.unk_token))



		def _lowerCAmelCase     (    self:    Optional[int]				,   a:    List[str])  ->str:






								'''simple docstring'''


								return self.decoder.get(_A)



		def _lowerCAmelCase     (    self:    Tuple				,   a:    Any)  ->Union[str, Any]:






								'''simple docstring'''


								a_				     =   ''.join(_A)
								a_				     =   bytearray([self.byte_decoder[c] for c in text]).decode("utf-8"				,   errors=self.errors)
								return text



		def _lowerCAmelCase     (    self:    Optional[int]				,   a:    str				,   a:    Optional[str] = None)  ->Tuple[str]:






								'''simple docstring'''


								if not os.path.isdir(_A):
														logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
														return
								a_				     =   os.path.join(
								    _A				,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
								a_				     =   os.path.join(
								    _A				,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

								with open(_A				,   "w"				,   encoding="utf-8") as f:
														f.write(json.dumps(self.encoder				,   indent=2				,   sort_keys=_A				,   ensure_ascii=_A) + "\n")

								a_				     =   0
								with open(_A				,   "w"				,   encoding="utf-8") as writer:
														writer.write("#version: 0.2\n")
														for bpe_tokens, token_index in sorted(self.bpe_ranks.items()				,   key=lambda a: kv[1]):
																				if index != token_index:
																										logger.warning(
																										    f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
																										    " Please check that the tokenizer is not corrupted!")
																										a_				     =   token_index
																				writer.write(" ".join(_A) + "\n")
																				index += 1

								return vocab_file, merge_file



		def _lowerCAmelCase     (    self:    Union[str, Any]				,   a:    List[int]				,   a:    Optional[List[int]] = None)  ->List[int]:






								'''simple docstring'''


								if token_ids_a is None:
														return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								a_				     =   [self.cls_token_id]
								a_				     =   [self.sep_token_id]
								return cls + token_ids_a + sep + sep + token_ids_a + sep



		def _lowerCAmelCase     (    self:    Dict				,   a:    List[int]				,   a:    Optional[List[int]] = None				,   a:    bool = False)  ->List[int]:






								'''simple docstring'''


								if already_has_special_tokens:
														return super().get_special_tokens_mask(
														    token_ids_a=_A				,   token_ids_a=_A				,   already_has_special_tokens=_A)

								if token_ids_a is None:
														return [1] + ([0] * len(_A)) + [1]
								return [1] + ([0] * len(_A)) + [1, 1] + ([0] * len(_A)) + [1]



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






								'''simple docstring'''


								a_				     =   [self.sep_token_id]
								a_				     =   [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:    str				,   a:    List[Any]				,   a:    str=False				,   **a:    List[Any])  ->List[str]:






								'''simple docstring'''


								a_				     =   kwargs.pop("add_prefix_space"				,   self.add_prefix_space)
								if (is_split_into_words or add_prefix_space) and (len(_A) > 0 and not text[0].isspace()):
														a_				     =   ' ' + text
								return (text, kwargs)











'''simple docstring'''





from __future__ import annotations

a_      = [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]





class 		SCREAMING_SNAKE_CASE__   :



		def __init__(    self:    Optional[int]				,   a:    int)  ->None:






								'''simple docstring'''


								a_				     =   -1
								a_				     =   -1
								a_				     =   [-1] * length
								a_				     =   None
								a_				     =   None




		def __repr__(    self:    Union[str, Any])  ->str:






								'''simple docstring'''


								return f"""Node(min_value={self.minn} max_value={self.maxx})"""





def 			__UpperCAmelCase				(lowercase__				)		->				Node | None:

						'''simple docstring'''


						a_				     =   Node(len(lowercase__				)				)
						a_     ,       a_				     =   min(lowercase__				), max(lowercase__				)
						# Leaf node case where the node contains only one unique value
						if root.minn == root.maxx:
												return root
						a_				     =   (root.minn + root.maxx) // 2

						a_				     =   []
						a_				     =   []

						for index, num in enumerate(lowercase__				):
												if num <= pivot:
																		left_arr.append(lowercase__				)
												else:
																		right_arr.append(lowercase__				)
												a_				     =   len(lowercase__				)
						a_				     =   build_tree(lowercase__				)
						a_				     =   build_tree(lowercase__				)
						return root



def 			__UpperCAmelCase				(lowercase__	,lowercase__	,lowercase__				)		->				int:

						'''simple docstring'''


						if index < 0 or node is None:
												return 0
						# Leaf node cases
						if node.minn == node.maxx:
												return index + 1 if node.minn == num else 0
						a_				     =   (node.minn + node.maxx) // 2
						if num <= pivot:
												# go the left subtree and map index to the left subtree
												return rank_till_index(node.left	,lowercase__	,node.map_left[index] - 1				)
						else:
												# go to the right subtree and map index to the right subtree
												return rank_till_index(node.right	,lowercase__	,index - node.map_left[index]				)



def 			__UpperCAmelCase				(lowercase__	,lowercase__	,lowercase__	,lowercase__				)		->				int:

						'''simple docstring'''


						if start > end:
												return 0
						a_				     =   rank_till_index(lowercase__	,lowercase__	,lowercase__				)
						a_				     =   rank_till_index(lowercase__	,lowercase__	,start - 1				)
						return rank_till_end - rank_before_start



def 			__UpperCAmelCase				(lowercase__	,lowercase__	,lowercase__	,lowercase__				)		->				int:

						'''simple docstring'''


						if index > (end - start) or start > end or node is None:
												return -1
						# Leaf node case
						if node.minn == node.maxx:
												return node.minn
						# Number of elements in the left subtree in interval [start, end]
						a_				     =   node.map_left[end] - (
						    node.map_left[start - 1] if start else 0
						)
						if num_elements_in_left_tree > index:
												return quantile(
												    node.left	,lowercase__	,(node.map_left[start - 1] if start else 0)	,node.map_left[end] - 1	,)
						else:
												return quantile(
												    node.right	,index - num_elements_in_left_tree	,start - (node.map_left[start - 1] if start else 0)	,end - node.map_left[end]	,)



def 			__UpperCAmelCase				(lowercase__	,lowercase__	,lowercase__	,lowercase__	,lowercase__				)		->				int:

						'''simple docstring'''


						if (
						    start > end
						    or node is None
						    or start_num > end_num
						    or node.minn > end_num
						    or node.maxx < start_num
						):
												return 0
						if start_num <= node.minn and node.maxx <= end_num:
												return end - start + 1
						a_				     =   range_counting(
						    node.left	,(node.map_left[start - 1] if start else 0)	,node.map_left[end] - 1	,lowercase__	,lowercase__	,)
						a_				     =   range_counting(
						    node.right	,start - (node.map_left[start - 1] if start else 0)	,end - node.map_left[end]	,lowercase__	,lowercase__	,)
						return left + right


if __name__ == "__main__":
							import doctest

							doctest.testmod()



