





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


__lowercase							:Optional[int]							=	logging.get_logger(__name__)


__lowercase							:List[Any]							=	{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all MVP models at https://huggingface.co/models?filter=mvp
__lowercase							: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",
    },
}

__lowercase							:Any							=	{
    "RUCAIBox/mvp": 1_024,
}







@lru_cache()
def    UpperCAmelCase				(  ):





						'''simple docstring'''


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







def    UpperCAmelCase				(  _lowerCamelCase   :	int  ):





						'''simple docstring'''


						SCREAMING_SNAKE_CASE__  :					int =       set()
						SCREAMING_SNAKE_CASE__  :					List[str] =       word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)  )
												SCREAMING_SNAKE_CASE__  :					Optional[Any] =       char
						return pairs



class  _a  (					lowercase__				):






							"""simple docstring"""

							snake_case_							=    VOCAB_FILES_NAMES
							snake_case_							=    PRETRAINED_VOCAB_FILES_MAP
							snake_case_							=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							snake_case_							=    ["input_ids", "attention_mask"]

							def __init__(   self					:  Optional[int]				,						a					:  Optional[Any]				,						a					:  List[str]				,						a					:  Optional[int]="replace"				,						a					:  List[Any]="<s>"				,						a					:  int="</s>"				,						a					:  Union[str, Any]="</s>"				,						a					:  int="<s>"				,						a					:  int="<unk>"				,						a					:  Optional[int]="<pad>"				,						a					:  Optional[Any]="<mask>"				,						a					:  List[str]=False				,						**a					:  List[Any]				,						)						->List[str]:
													SCREAMING_SNAKE_CASE__  :					str =       AddedToken(a				,						lstrip=a				,						rstrip=a     ) if isinstance(a				,						a     ) else bos_token
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       AddedToken(a				,						lstrip=a				,						rstrip=a     ) if isinstance(a				,						a     ) else eos_token
													SCREAMING_SNAKE_CASE__  :					str =       AddedToken(a				,						lstrip=a				,						rstrip=a     ) if isinstance(a				,						a     ) else sep_token
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       AddedToken(a				,						lstrip=a				,						rstrip=a     ) if isinstance(a				,						a     ) else cls_token
													SCREAMING_SNAKE_CASE__  :					Any =       AddedToken(a				,						lstrip=a				,						rstrip=a     ) if isinstance(a				,						a     ) else unk_token
													SCREAMING_SNAKE_CASE__  :					List[Any] =       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
													SCREAMING_SNAKE_CASE__  :					Any =       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:
																			SCREAMING_SNAKE_CASE__  :					List[Any] =       json.load(a     )
													SCREAMING_SNAKE_CASE__  :					List[str] =       {v: k for k, v in self.encoder.items()}
													SCREAMING_SNAKE_CASE__  :					Dict =       errors  # how to handle errors in decoding
													SCREAMING_SNAKE_CASE__  :					str =       bytes_to_unicode()
													SCREAMING_SNAKE_CASE__  :					str =       {v: k for k, v in self.byte_encoder.items()}
													with open(a				,						encoding="utf-8"     ) as merges_handle:
																			SCREAMING_SNAKE_CASE__  :					Dict =       merges_handle.read().split("\n"     )[1:-1]
													SCREAMING_SNAKE_CASE__  :					List[Any] =       [tuple(merge.split()     ) for merge in bpe_merges]
													SCREAMING_SNAKE_CASE__  :					List[Any] =       dict(zip(a				,						range(len(a     )     )     )     )
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       {}
													SCREAMING_SNAKE_CASE__  :					Tuple =       add_prefix_space

													# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
													SCREAMING_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					:  Dict     )						->int:
													return len(self.encoder     )

							def   A_	(   self					:  Union[str, Any]     )						->Union[str, Any]:
													return dict(self.encoder				,						**self.added_tokens_encoder     )

							def   A_	(   self					:  Tuple				,						a					:  Tuple     )						->Union[str, Any]:
													if token in self.cache:
																			return self.cache[token]
													SCREAMING_SNAKE_CASE__  :					int =       tuple(a     )
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       get_pairs(a     )

													if not pairs:
																			return token

													while True:
																			SCREAMING_SNAKE_CASE__  :					Optional[Any] =       min(a				,						key=lambda a     : self.bpe_ranks.get(a				,						float("inf"     )     )     )
																			if bigram not in self.bpe_ranks:
																									break
																			SCREAMING_SNAKE_CASE__,				SCREAMING_SNAKE_CASE__  :					List[Any] =       bigram
																			SCREAMING_SNAKE_CASE__  :					List[Any] =       []
																			SCREAMING_SNAKE_CASE__  :					str =       0
																			while i < len(a     ):
																									try:
																															SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       word.index(a				,						a     )
																									except ValueError:
																															new_word.extend(word[i:]     )
																															break
																									else:
																															new_word.extend(word[i:j]     )
																															SCREAMING_SNAKE_CASE__  :					List[str] =       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
																			SCREAMING_SNAKE_CASE__  :					List[str] =       tuple(a     )
																			SCREAMING_SNAKE_CASE__  :					Optional[int] =       new_word
																			if len(a     ) == 1:
																									break
																			else:
																									SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       get_pairs(a     )
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       " ".join(a     )
													SCREAMING_SNAKE_CASE__  :					Tuple =       word
													return word

							def   A_	(   self					:  Optional[int]				,						a					:  Dict     )						->List[Any]:
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       []
													for token in re.findall(self.pat				,						a     ):
																			SCREAMING_SNAKE_CASE__  :					List[str] =       "".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   A_	(   self					:  Optional[int]				,						a					:  Dict     )						->Any:
													return self.encoder.get(a				,						self.encoder.get(self.unk_token     )     )

							def   A_	(   self					:  Any				,						a					:  str     )						->Union[str, Any]:
													return self.decoder.get(a     )

							def   A_	(   self					:  Optional[Any]				,						a					:  Optional[int]     )						->Optional[int]:
													SCREAMING_SNAKE_CASE__  :					Tuple =       "".join(a     )
													SCREAMING_SNAKE_CASE__  :					Tuple =       bytearray([self.byte_decoder[c] for c in text]     ).decode("utf-8"				,						errors=self.errors     )
													return text

							def   A_	(   self					:  str				,						a					:  str				,						a					:  Optional[str] = None     )						->Tuple[str]:
													if not os.path.isdir(a     ):
																			logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
																			return
													SCREAMING_SNAKE_CASE__  :					Tuple =       os.path.join(
													    a				,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]     )
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       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"     )

													SCREAMING_SNAKE_CASE__  :					Dict =       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!"     )
																															SCREAMING_SNAKE_CASE__  :					List[Any] =       token_index
																									writer.write(" ".join(a     ) + "\n"     )
																									index += 1

													return vocab_file, merge_file

							def   A_	(   self					:  List[Any]				,						a					:  List[int]				,						a					:  Optional[List[int]] = None     )						->List[int]:
													if token_ids_a is None:
																			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
													SCREAMING_SNAKE_CASE__  :					List[Any] =       [self.cls_token_id]
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       [self.sep_token_id]
													return cls + token_ids_a + sep + sep + token_ids_a + sep

							def   A_	(   self					:  Optional[int]				,						a					:  List[int]				,						a					:  Optional[List[int]] = None				,						a					:  bool = False     )						->List[int]:
													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   A_	(   self					:  List[str]				,						a					:  List[int]				,						a					:  Optional[List[int]] = None     )						->List[int]:
													SCREAMING_SNAKE_CASE__  :					str =       [self.sep_token_id]
													SCREAMING_SNAKE_CASE__  :					Dict =       [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					:  int				,						a					:  List[Any]				,						a					:  Optional[Any]=False				,						**a					:  List[str]     )						->Union[str, Any]:
													SCREAMING_SNAKE_CASE__  :					Any =       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()):
																			SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       " " + text
													return (text, kwargs)






from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
__lowercase							:List[Any]							=	TypeVar("T", bound="Enum")



@unique
class  _a  (					lowercase__				):






							"""simple docstring"""

							snake_case_							=    80
							snake_case_							=    70
							snake_case_							=    60
							snake_case_							=    50
							snake_case_							=    40
							snake_case_							=    30
							snake_case_							=    20
							snake_case_							=    10







@unique
class  _a  (					lowercase__				):






							"""simple docstring"""

							snake_case_							=    24
							snake_case_							=    21
							snake_case_							=    18
							snake_case_							=    15
							snake_case_							=    12
							snake_case_							=    9
							snake_case_							=    6
							snake_case_							=    3
							snake_case_							=    2
							snake_case_							=    1
							snake_case_							=    -1
							snake_case_							=    -2
							snake_case_							=    -3
							snake_case_							=    -6
							snake_case_							=    -9
							snake_case_							=    -12
							snake_case_							=    -15
							snake_case_							=    -18
							snake_case_							=    -21
							snake_case_							=    -24

							@classmethod
							def   A_	(   cls					:  type[T]     )						->dict:
													return {unit.name: unit.value for unit in cls if unit.value > 0}






							@classmethod
							def   A_	(   cls					:  type[T]     )						->dict:
													return {unit.name: unit.value for unit in cls if unit.value < 0}







def    UpperCAmelCase				(  _lowerCamelCase   :	float  ):





						'''simple docstring'''


						SCREAMING_SNAKE_CASE__  :					str =       SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
						for name_prefix, value_prefix in prefixes.items():
												SCREAMING_SNAKE_CASE__  :					str =       value / (10**value_prefix)
												if numerical_part > 1:
																		return f"""{numerical_part!s} {name_prefix}"""
						return str(_lowerCamelCase  )







def    UpperCAmelCase				(  _lowerCamelCase   :	float  ):





						'''simple docstring'''


						for prefix in BinaryUnit:
												SCREAMING_SNAKE_CASE__  :					List[Any] =       value / (2**prefix.value)
												if numerical_part > 1:
																		return f"""{numerical_part!s} {prefix.name}"""
						return str(_lowerCamelCase  )


if __name__ == "__main__":
				import doctest

				doctest.testmod()