

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__						=	logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
lowerCAmelCase__						=	{
    """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__						=	{
    """RUCAIBox/mvp""": 1_0_2_4,
}



@lru_cache()
def    lowerCAmelCase__							(		)     -> Tuple:




				'''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(SCREAMING_SNAKE_CASE_ )
												cs.append(2**8 + n )
												n += 1
				A__            =     [chr(SCREAMING_SNAKE_CASE_ ) for n in cs]
				return dict(zip(SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_ ) )



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							Any )     -> Dict:




				'''simple docstring'''





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





class    a__  (   snake_case     ):
			"""simple docstring"""







			__lowerCamelCase	    =    VOCAB_FILES_NAMES
			__lowerCamelCase	    =    PRETRAINED_VOCAB_FILES_MAP
			__lowerCamelCase	    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__lowerCamelCase	    =    ['input_ids', 'attention_mask']


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






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

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

							super().__init__(
							    errors=lowercase , bos_token=lowercase , eos_token=lowercase , unk_token=lowercase , sep_token=lowercase , cls_token=lowercase , pad_token=lowercase , mask_token=lowercase , add_prefix_space=lowercase , **lowercase , )
							with open(lowercase , encoding="utf-8"    ) as vocab_handle:
											A__            =     json.load(lowercase    )
							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(lowercase , 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(lowercase , range(len(lowercase    )    )    )    )
							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        UpperCamelCase						(      self    )					->  Union[str, Any]:
							'''simple docstring'''






							return len(self.encoder    )


			def        UpperCamelCase						(      self    )					->  int:
							'''simple docstring'''






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


			def        UpperCamelCase						(      self , lowercase    )					->  Dict:
							'''simple docstring'''






							if token in self.cache:
											return self.cache[token]
							A__            =     tuple(lowercase    )
							A__            =     get_pairs(lowercase    )

							if not pairs:
											return token

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

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


			def        UpperCamelCase						(      self , lowercase    )					->  Tuple:
							'''simple docstring'''






							A__            =     []
							for token in re.findall(self.pat , lowercase    ):
											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(lowercase    ).split(" "    )    )
							return bpe_tokens


			def        UpperCamelCase						(      self , lowercase    )					->  Any:
							'''simple docstring'''






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


			def        UpperCamelCase						(      self , lowercase    )					->  Dict:
							'''simple docstring'''






							return self.decoder.get(lowercase    )


			def        UpperCamelCase						(      self , lowercase    )					->  Any:
							'''simple docstring'''






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


			def        UpperCamelCase						(      self , lowercase , lowercase = None    )					->  Tuple[str]:
							'''simple docstring'''






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

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

							A__            =     0
							with open(lowercase , "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 lowercase    : 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(lowercase    ) + "\n"    )
															index += 1

							return vocab_file, merge_file


			def        UpperCamelCase						(      self , lowercase , lowercase = 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        UpperCamelCase						(      self , lowercase , lowercase = None , lowercase = False    )					->  List[int]:
							'''simple docstring'''






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

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


			def        UpperCamelCase						(      self , lowercase , lowercase = 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        UpperCamelCase						(      self , lowercase , lowercase=False , **lowercase    )					->  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(lowercase    ) > 0 and not text[0].isspace()):
											A__            =     " " + text
							return (text, kwargs)




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__						=	{"""configuration_nat""": ["""NAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """NatConfig"""]}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase__						=	[
	    """NAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """NatForImageClassification""",
	    """NatModel""",
	    """NatPreTrainedModel""",
	    """NatBackbone""",
	]

if TYPE_CHECKING:
	from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_nat import (
		    NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    NatBackbone,
		    NatForImageClassification,
		    NatModel,
		    NatPreTrainedModel,
		)

else:
	import sys

	lowerCAmelCase__						=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

