



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


__SCREAMING_SNAKE_CASE     =	logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE     =	{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

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

__SCREAMING_SNAKE_CASE     =	{
    """RUCAIBox/mvp""": 1024,
}




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




def 						UpperCAmelCase (    _lowerCamelCase     ):
			A				:       Union[str, Any]														=    set()
			A				:       Union[str, Any]														=    word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)     )
						A				:       Dict														=    char
			return pairs






class 						lowerCamelCase_     (			_A    ):






						'''simple docstring'''
						a__ =	VOCAB_FILES_NAMES
						a__ =	PRETRAINED_VOCAB_FILES_MAP
						a__ =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						a__ =	["input_ids", "attention_mask"]







						def __init__(						self   :      Tuple						,						__lowerCamelCase   :      Tuple						,						__lowerCamelCase   :      str						,						__lowerCamelCase   :      List[Any]="replace"						,						__lowerCamelCase   :      Union[str, Any]="<s>"						,						__lowerCamelCase   :      Tuple="</s>"						,						__lowerCamelCase   :      int="</s>"						,						__lowerCamelCase   :      Optional[Any]="<s>"						,						__lowerCamelCase   :      int="<unk>"						,						__lowerCamelCase   :      Optional[int]="<pad>"						,						__lowerCamelCase   :      Any="<mask>"						,						__lowerCamelCase   :      Optional[Any]=False						,						**__lowerCamelCase   :      Optional[Any]						,						)   ->					Optional[Any]:
									A				:       Union[str, Any]														=    AddedToken(__lowerCamelCase						,						lstrip=__lowerCamelCase						,						rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase						,						__lowerCamelCase			) else bos_token
									A				:       List[Any]														=    AddedToken(__lowerCamelCase						,						lstrip=__lowerCamelCase						,						rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase						,						__lowerCamelCase			) else eos_token
									A				:       str														=    AddedToken(__lowerCamelCase						,						lstrip=__lowerCamelCase						,						rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase						,						__lowerCamelCase			) else sep_token
									A				:       Optional[Any]														=    AddedToken(__lowerCamelCase						,						lstrip=__lowerCamelCase						,						rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase						,						__lowerCamelCase			) else cls_token
									A				:       Dict														=    AddedToken(__lowerCamelCase						,						lstrip=__lowerCamelCase						,						rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase						,						__lowerCamelCase			) else unk_token
									A				:       List[str]														=    AddedToken(__lowerCamelCase						,						lstrip=__lowerCamelCase						,						rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase						,						__lowerCamelCase			) else pad_token

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

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

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







						@property
						def       SCREAMING_SNAKE_CASE__		(						self   :      List[Any]			)   ->					Dict:
									return len(self.encoder			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      Optional[Any]			)   ->					List[Any]:
									return dict(self.encoder						,						**self.added_tokens_encoder			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      Tuple						,						__lowerCamelCase   :      Optional[Any]			)   ->					str:
									if token in self.cache:
												return self.cache[token]
									A				:       List[Any]														=    tuple(__lowerCamelCase			)
									A				:       Optional[Any]														=    get_pairs(__lowerCamelCase			)

									if not pairs:
												return token

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

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







						def       SCREAMING_SNAKE_CASE__		(						self   :      Tuple						,						__lowerCamelCase   :      str			)   ->					str:
									A				:       List[Any]														=    []
									for token in re.findall(self.pat						,						__lowerCamelCase			):
												A				:       Optional[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(__lowerCamelCase			).split(" "			)			)
									return bpe_tokens







						def       SCREAMING_SNAKE_CASE__		(						self   :      int						,						__lowerCamelCase   :      Tuple			)   ->					Union[str, Any]:
									return self.encoder.get(__lowerCamelCase						,						self.encoder.get(self.unk_token			)			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      Any						,						__lowerCamelCase   :      Dict			)   ->					Union[str, Any]:
									return self.decoder.get(__lowerCamelCase			)







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







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

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

									A				:       Tuple														=    0
									with open(__lowerCamelCase						,						"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 __lowerCamelCase			: 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				:       int														=    token_index
															writer.write(" ".join(__lowerCamelCase			) + "\n"			)
															index += 1

									return vocab_file, merge_file







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







						def       SCREAMING_SNAKE_CASE__		(						self   :      Optional[Any]						,						__lowerCamelCase   :      List[int]						,						__lowerCamelCase   :      Optional[List[int]] = None						,						__lowerCamelCase   :      bool = False			)   ->					List[int]:
									if already_has_special_tokens:
												return super().get_special_tokens_mask(
												    token_ids_a=__lowerCamelCase						,						token_ids_a=__lowerCamelCase						,						already_has_special_tokens=__lowerCamelCase			)

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







						def       SCREAMING_SNAKE_CASE__		(						self   :      Optional[int]						,						__lowerCamelCase   :      List[int]						,						__lowerCamelCase   :      Optional[List[int]] = None			)   ->					List[int]:
									A				:       Tuple														=    [self.sep_token_id]
									A				:       int														=    [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       SCREAMING_SNAKE_CASE__		(						self   :      List[str]						,						__lowerCamelCase   :      Optional[int]						,						__lowerCamelCase   :      List[str]=False						,						**__lowerCamelCase   :      Optional[int]			)   ->					int:
									A				:       Optional[Any]														=    kwargs.pop("add_prefix_space"						,						self.add_prefix_space			)
									if (is_split_into_words or add_prefix_space) and (len(__lowerCamelCase			) > 0 and not text[0].isspace()):
												A				:       List[str]														=    " " + text
									return (text, kwargs)




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__SCREAMING_SNAKE_CASE     =	{"""configuration_yoso""": ["""YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP""", """YosoConfig"""]}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__SCREAMING_SNAKE_CASE     =	[
							    """YOSO_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """YosoForMaskedLM""",
							    """YosoForMultipleChoice""",
							    """YosoForQuestionAnswering""",
							    """YosoForSequenceClassification""",
							    """YosoForTokenClassification""",
							    """YosoLayer""",
							    """YosoModel""",
							    """YosoPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_yoso import YOSO_PRETRAINED_CONFIG_ARCHIVE_MAP, YosoConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_yoso import (
														    YOSO_PRETRAINED_MODEL_ARCHIVE_LIST,
														    YosoForMaskedLM,
														    YosoForMultipleChoice,
														    YosoForQuestionAnswering,
														    YosoForSequenceClassification,
														    YosoForTokenClassification,
														    YosoLayer,
														    YosoModel,
														    YosoPreTrainedModel,
														)


else:
							import sys

							__SCREAMING_SNAKE_CASE     =	_LazyModule(__name__, globals()["""__file__"""], _import_structure)