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


lowerCAmelCase__	:  int						=  logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
lowerCAmelCase__	:  List[Any]						=  {
    '''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''',
    },
}

lowerCAmelCase__	:  Optional[Any]						=  {
    '''RUCAIBox/mvp''': 10_24,
}
@lru_cache()
def 					UpperCamelCase__		(							)  ->   List[str]:
				snake_case__   :      Optional[int]   				= (
				    list(range(ord('!'       )     ,					ord('~'       ) + 1       )       ) + list(range(ord('¡'       )     ,					ord('¬'       ) + 1       )       ) + list(range(ord('®'       )     ,					ord('ÿ'       ) + 1       )       )
				)
				snake_case__   :      Optional[int]   				= bs[:]
				snake_case__   :      Any   				= 0
				for b in range(2**8       ):
								if b not in bs:
												bs.append(A__       )
												cs.append(2**8 + n       )
												n += 1
				snake_case__   :      List[str]   				= [chr(A__       ) for n in cs]
				return dict(zip(A__     ,					A__       )       )
def 					UpperCamelCase__		(							A__       )  ->   Optional[Any]:
				snake_case__   :      str   				= set()
				snake_case__   :      Dict   				= word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)       )
								snake_case__   :      str   				= char
				return pairs





class 					__snake_case    (     _lowerCamelCase      ):
					__lowerCamelCase			   =  VOCAB_FILES_NAMES
					__lowerCamelCase			   =  PRETRAINED_VOCAB_FILES_MAP
					__lowerCamelCase			   =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__lowerCamelCase			   =  ["""input_ids""", """attention_mask"""]




					def __init__(  self       ,			__UpperCamelCase       ,			__UpperCamelCase       ,			__UpperCamelCase="replace"       ,			__UpperCamelCase="<s>"       ,			__UpperCamelCase="</s>"       ,			__UpperCamelCase="</s>"       ,			__UpperCamelCase="<s>"       ,			__UpperCamelCase="<unk>"       ,			__UpperCamelCase="<pad>"       ,			__UpperCamelCase="<mask>"       ,			__UpperCamelCase=False       ,			**__UpperCamelCase       ,			)	->    List[str]:



									'''simple docstring'''







									snake_case__   :      Optional[int]   				= AddedToken(__UpperCamelCase       ,			lstrip=__UpperCamelCase       ,			rstrip=__UpperCamelCase						) if isinstance(__UpperCamelCase       ,			__UpperCamelCase						) else bos_token
									snake_case__   :      Optional[int]   				= AddedToken(__UpperCamelCase       ,			lstrip=__UpperCamelCase       ,			rstrip=__UpperCamelCase						) if isinstance(__UpperCamelCase       ,			__UpperCamelCase						) else eos_token
									snake_case__   :      str   				= AddedToken(__UpperCamelCase       ,			lstrip=__UpperCamelCase       ,			rstrip=__UpperCamelCase						) if isinstance(__UpperCamelCase       ,			__UpperCamelCase						) else sep_token
									snake_case__   :      Any   				= AddedToken(__UpperCamelCase       ,			lstrip=__UpperCamelCase       ,			rstrip=__UpperCamelCase						) if isinstance(__UpperCamelCase       ,			__UpperCamelCase						) else cls_token
									snake_case__   :      Any   				= AddedToken(__UpperCamelCase       ,			lstrip=__UpperCamelCase       ,			rstrip=__UpperCamelCase						) if isinstance(__UpperCamelCase       ,			__UpperCamelCase						) else unk_token
									snake_case__   :      Optional[Any]   				= AddedToken(__UpperCamelCase       ,			lstrip=__UpperCamelCase       ,			rstrip=__UpperCamelCase						) if isinstance(__UpperCamelCase       ,			__UpperCamelCase						) else pad_token

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

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

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




					@property
					def      __a     (  self						)	->    Union[str, Any]:



									'''simple docstring'''







									return len(self.encoder						)




					def      __a     (  self						)	->    str:



									'''simple docstring'''







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




					def      __a     (  self       ,			__UpperCamelCase						)	->    Optional[int]:



									'''simple docstring'''







									if token in self.cache:
													return self.cache[token]
									snake_case__   :      str   				= tuple(__UpperCamelCase						)
									snake_case__   :      str   				= get_pairs(__UpperCamelCase						)

									if not pairs:
													return token

									while True:
													snake_case__   :      List[Any]   				= min(__UpperCamelCase       ,			key=lambda __UpperCamelCase						: self.bpe_ranks.get(__UpperCamelCase       ,			float('inf'						)						)						)
													if bigram not in self.bpe_ranks:
																	break
													snake_case__				,    snake_case__   :      List[Any]   				= bigram
													snake_case__   :      Optional[int]   				= []
													snake_case__   :      int   				= 0
													while i < len(__UpperCamelCase						):
																	try:
																					snake_case__   :      List[Any]   				= word.index(__UpperCamelCase       ,			__UpperCamelCase						)
																	except ValueError:
																					new_word.extend(word[i:]						)
																					break
																	else:
																					new_word.extend(word[i:j]						)
																					snake_case__   :      Any   				= j

																	if word[i] == first and i < len(__UpperCamelCase						) - 1 and word[i + 1] == second:
																					new_word.append(first + second						)
																					i += 2
																	else:
																					new_word.append(word[i]						)
																					i += 1
													snake_case__   :      str   				= tuple(__UpperCamelCase						)
													snake_case__   :      Optional[int]   				= new_word
													if len(__UpperCamelCase						) == 1:
																	break
													else:
																	snake_case__   :      Dict   				= get_pairs(__UpperCamelCase						)
									snake_case__   :      List[Any]   				= ' '.join(__UpperCamelCase						)
									snake_case__   :      Union[str, Any]   				= word
									return word




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



									'''simple docstring'''







									snake_case__   :      str   				= []
									for token in re.findall(self.pat       ,			__UpperCamelCase						):
													snake_case__   :      List[Any]   				= ''.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(__UpperCamelCase						).split(' '						)						)
									return bpe_tokens




					def      __a     (  self       ,			__UpperCamelCase						)	->    Optional[int]:



									'''simple docstring'''







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




					def      __a     (  self       ,			__UpperCamelCase						)	->    List[str]:



									'''simple docstring'''







									return self.decoder.get(__UpperCamelCase						)




					def      __a     (  self       ,			__UpperCamelCase						)	->    Optional[Any]:



									'''simple docstring'''







									snake_case__   :      Dict   				= ''.join(__UpperCamelCase						)
									snake_case__   :      Union[str, Any]   				= bytearray([self.byte_decoder[c] for c in text]						).decode('utf-8'       ,			errors=self.errors						)
									return text




					def      __a     (  self       ,			__UpperCamelCase       ,			__UpperCamelCase = None						)	->    Tuple[str]:



									'''simple docstring'''







									if not os.path.isdir(__UpperCamelCase						):
													logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""						)
													return
									snake_case__   :      List[str]   				= os.path.join(
									    __UpperCamelCase       ,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)
									snake_case__   :      str   				= os.path.join(
									    __UpperCamelCase       ,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']						)

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

									snake_case__   :      List[str]   				= 0
									with open(__UpperCamelCase       ,			'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 __UpperCamelCase						: 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!'						)
																					snake_case__   :      Any   				= token_index
																	writer.write(' '.join(__UpperCamelCase						) + '\n'						)
																	index += 1

									return vocab_file, merge_file




					def      __a     (  self       ,			__UpperCamelCase       ,			__UpperCamelCase = None						)	->    List[int]:



									'''simple docstring'''







									if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									snake_case__   :      Union[str, Any]   				= [self.cls_token_id]
									snake_case__   :      Any   				= [self.sep_token_id]
									return cls + token_ids_a + sep + sep + token_ids_a + sep




					def      __a     (  self       ,			__UpperCamelCase       ,			__UpperCamelCase = None       ,			__UpperCamelCase = False						)	->    List[int]:



									'''simple docstring'''







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

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




					def      __a     (  self       ,			__UpperCamelCase       ,			__UpperCamelCase = None						)	->    List[int]:



									'''simple docstring'''







									snake_case__   :      Optional[Any]   				= [self.sep_token_id]
									snake_case__   :      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 + sep + token_ids_a + sep						) * [0]




					def      __a     (  self       ,			__UpperCamelCase       ,			__UpperCamelCase=False       ,			**__UpperCamelCase						)	->    str:



									'''simple docstring'''







									snake_case__   :      int   				= kwargs.pop('add_prefix_space'       ,			self.add_prefix_space						)
									if (is_split_into_words or add_prefix_space) and (len(__UpperCamelCase						) > 0 and not text[0].isspace()):
													snake_case__   :      Dict   				= ' ' + text
									return (text, kwargs)



def 					UpperCamelCase__		(							A__     ,					A__       )  ->   Any:
				if len(str(A__       )       ) == 1 or len(str(A__       )       ) == 1:
								return a * b

				snake_case__   :      Union[str, Any]   				= max(len(str(A__       )       )     ,					len(str(A__       )       )       )
				snake_case__   :      str   				= ma // 2

				snake_case__				,    snake_case__   :      Tuple   				= divmod(A__     ,					10**ma       )
				snake_case__				,    snake_case__   :      str   				= divmod(A__     ,					10**ma       )

				snake_case__   :      Optional[int]   				= karatsuba(A__     ,					A__       )
				snake_case__   :      List[Any]   				= karatsuba((aa + aa)     ,					(ba + ba)       )
				snake_case__   :      Tuple   				= karatsuba(A__     ,					A__       )

				return (z * 10 ** (2 * ma)) + ((y - z - x) * 10 ** (ma)) + (x)
def 					UpperCamelCase__		(							)  ->   Optional[int]:
				print(karatsuba(1_5463     ,					2_3489       )       )


if __name__ == "__main__":
				main()


