

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 							__SCREAMING_SNAKE_CASE							( )      ->				Dict:
				_UpperCAmelCase				:						List[Any]       						=			(
				    list(range(ord("!"       )     ,					ord("~"       ) + 1       )       ) + list(range(ord("¡"       )     ,					ord("¬"       ) + 1       )       ) + list(range(ord("®"       )     ,					ord("ÿ"       ) + 1       )       )
				)
				_UpperCAmelCase				:						Dict       						=			bs[:]
				_UpperCAmelCase				:						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
				_UpperCAmelCase				:						str       						=			[chr(lowerCAmelCase       ) for n in cs]
				return dict(zip(lowerCAmelCase     ,					lowerCAmelCase       )       )

def 							__SCREAMING_SNAKE_CASE							( lowerCAmelCase:     Dict       )      ->				int:
				_UpperCAmelCase				:						List[Any]       						=			set()
				_UpperCAmelCase				:						int       						=			word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)       )
								_UpperCAmelCase				:						Union[str, Any]       						=			char
				return pairs





class  a     (		UpperCAmelCase ):
						_lowercase			  =	VOCAB_FILES_NAMES
						_lowercase			  =	PRETRAINED_VOCAB_FILES_MAP
						_lowercase			  =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_lowercase			  =	["input_ids", "attention_mask"]


						def __init__(				self  ,    A_  ,    A_  ,    A_="replace"  ,    A_="<s>"  ,    A_="</s>"  ,    A_="</s>"  ,    A_="<s>"  ,    A_="<unk>"  ,    A_="<pad>"  ,    A_="<mask>"  ,    A_=False  ,    **A_  ,    ):







										'''simple docstring'''


										_UpperCAmelCase				:						Optional[Any]       						=			AddedToken(A_  ,    lstrip=A_  ,    rstrip=A_		) if isinstance(A_  ,    A_		) else bos_token
										_UpperCAmelCase				:						str       						=			AddedToken(A_  ,    lstrip=A_  ,    rstrip=A_		) if isinstance(A_  ,    A_		) else eos_token
										_UpperCAmelCase				:						Dict       						=			AddedToken(A_  ,    lstrip=A_  ,    rstrip=A_		) if isinstance(A_  ,    A_		) else sep_token
										_UpperCAmelCase				:						Any       						=			AddedToken(A_  ,    lstrip=A_  ,    rstrip=A_		) if isinstance(A_  ,    A_		) else cls_token
										_UpperCAmelCase				:						Optional[int]       						=			AddedToken(A_  ,    lstrip=A_  ,    rstrip=A_		) if isinstance(A_  ,    A_		) else unk_token
										_UpperCAmelCase				:						int       						=			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
										_UpperCAmelCase				:						Optional[int]       						=			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:
														_UpperCAmelCase				:						str       						=			json.load(A_		)
										_UpperCAmelCase				:						Optional[int]       						=			{v: k for k, v in self.encoder.items()}
										_UpperCAmelCase				:						List[str]       						=			errors  # how to handle errors in decoding
										_UpperCAmelCase				:						Optional[Any]       						=			bytes_to_unicode()
										_UpperCAmelCase				:						List[str]       						=			{v: k for k, v in self.byte_encoder.items()}
										with open(A_  ,    encoding="utf-8"		) as merges_handle:
														_UpperCAmelCase				:						Optional[int]       						=			merges_handle.read().split("\n"		)[1:-1]
										_UpperCAmelCase				:						Optional[Any]       						=			[tuple(merge.split()		) for merge in bpe_merges]
										_UpperCAmelCase				:						int       						=			dict(zip(A_  ,    range(len(A_		)		)		)		)
										_UpperCAmelCase				:						Any       						=			{}
										_UpperCAmelCase				:						Any       						=			add_prefix_space

										# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
										_UpperCAmelCase				:						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 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										return len(self.encoder		)


						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


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


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										if token in self.cache:
														return self.cache[token]
										_UpperCAmelCase				:						str       						=			tuple(A_		)
										_UpperCAmelCase				:						Any       						=			get_pairs(A_		)

										if not pairs:
														return token

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


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Union[str, Any]       						=			[]
										for token in re.findall(self.pat  ,    A_		):
														_UpperCAmelCase				:						int       						=			"".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 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


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


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										return self.decoder.get(A_		)


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Any       						=			"".join(A_		)
										_UpperCAmelCase				:						List[str]       						=			bytearray([self.byte_decoder[c] for c in text]		).decode("utf-8"  ,    errors=self.errors		)
										return text


						def 				_UpperCAmelCase (				self  ,    A_  ,    A_ = None		):







										'''simple docstring'''


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

										_UpperCAmelCase				:						int       						=			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!"		)
																						_UpperCAmelCase				:						str       						=			token_index
																		writer.write(" ".join(A_		) + "\n"		)
																		index += 1

										return vocab_file, merge_file


						def 				_UpperCAmelCase (				self  ,    A_  ,    A_ = None		):







										'''simple docstring'''


										if token_ids_a is None:
														return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
										_UpperCAmelCase				:						Dict       						=			[self.cls_token_id]
										_UpperCAmelCase				:						Optional[int]       						=			[self.sep_token_id]
										return cls + token_ids_a + sep + sep + token_ids_a + sep


						def 				_UpperCAmelCase (				self  ,    A_  ,    A_ = None  ,    A_ = False		):







										'''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 				_UpperCAmelCase (				self  ,    A_  ,    A_ = None		):







										'''simple docstring'''


										_UpperCAmelCase				:						Union[str, Any]       						=			[self.sep_token_id]
										_UpperCAmelCase				:						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 				_UpperCAmelCase (				self  ,    A_  ,    A_=False  ,    **A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Union[str, 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()):
														_UpperCAmelCase				:						Union[str, Any]       						=			" " + text
										return (text, kwargs)





from hashlib import mda, shaaaa

SCREAMING_SNAKE_CASE_						=					(shaaaa, mda)

class  a     :


						def __init__(				self  ,    A_ = 8		):







										'''simple docstring'''


										_UpperCAmelCase				:						Any       						=			0B0
										_UpperCAmelCase				:						Optional[Any]       						=			size


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Optional[Any]       						=			self.hash_(A_		)
										self.bitarray |= h


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						int       						=			self.hash_(A_		)
										return (h & self.bitarray) == h


						def __contains__(				self  ,    A_		):







										'''simple docstring'''


										return self.exists(A_		)


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Optional[int]       						=			bin(A_		)[2:]
										return res.zfill(self.size		)


						@property
						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										return self.format_bin(self.bitarray		)


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Union[str, Any]       						=			0B0
										for func in HASH_FUNCTIONS:
														_UpperCAmelCase				:						str       						=			(
														    int.from_bytes(func(value.encode()		).digest()  ,    "little"		) % self.size
														)
														res |= 2**position
										return res


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										return self.format_bin(self.hash_(A_		)		)





						@property
						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										_UpperCAmelCase				:						Union[str, Any]       						=			bin(self.bitarray		).count("1"		)
										return (n_ones / self.size) ** len(A_		)


