






'''simple docstring'''






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


UpperCamelCase__:     Tuple										=    logging.get_logger(__name__)


UpperCamelCase__:     Union[str, Any]										=    {"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all BART models at https://huggingface.co/models?filter=bart
UpperCamelCase__:     List[str]										=    {
    "vocab_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/vocab.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/vocab.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json",
    },
    "merges_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/merges.txt",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/merges.txt",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt",
    },
}

UpperCamelCase__:     List[str]										=    {
    "facebook/bart-base": 1024,
    "facebook/bart-large": 1024,
    "facebook/bart-large-mnli": 1024,
    "facebook/bart-large-cnn": 1024,
    "facebook/bart-large-xsum": 1024,
    "yjernite/bart_eli5": 1024,
}


@lru_cache()
def 				snake_case_  (      )   ->     List[Any]:
							UpperCAmelCase				: str											=	(
							    list(range(ord('''!'''						)     ,   ord('''~'''						) + 1						)						) + list(range(ord('''¡'''						)     ,   ord('''¬'''						) + 1						)						) + list(range(ord('''®'''						)     ,   ord('''ÿ'''						) + 1						)						)
							)
							UpperCAmelCase				: List[Any]											=	bs[:]
							UpperCAmelCase				: List[str]											=	0
							for b in range(2**8						):
														if b not in bs:
																					bs.append(_lowerCAmelCase						)
																					cs.append(2**8 + n						)
																					n += 1
							UpperCAmelCase				: Optional[Any]											=	[chr(_lowerCAmelCase						) for n in cs]
							return dict(zip(_lowerCAmelCase     ,   _lowerCAmelCase						)						)


def 				snake_case_  (      _lowerCAmelCase						:		Any						)   ->     int:
							UpperCAmelCase				: Union[str, Any]											=	set()
							UpperCAmelCase				: Union[str, Any]											=	word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)						)
														UpperCAmelCase				: Tuple											=	char
							return pairs




class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






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







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

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

								super().__init__(
								    errors=__snake_case	,    bos_token=__snake_case	,    eos_token=__snake_case	,    unk_token=__snake_case	,    sep_token=__snake_case	,    cls_token=__snake_case	,    pad_token=__snake_case	,    mask_token=__snake_case	,    add_prefix_space=__snake_case	,    **__snake_case	,    )

								with open(__snake_case	,    encoding='''utf-8'''	) as vocab_handle:
															UpperCAmelCase				: Dict											=	json.load(__snake_case	)
								UpperCAmelCase				: int											=	{v: k for k, v in self.encoder.items()}
								UpperCAmelCase				: Optional[int]											=	errors  # how to handle errors in decoding
								UpperCAmelCase				: Any											=	bytes_to_unicode()
								UpperCAmelCase				: Any											=	{v: k for k, v in self.byte_encoder.items()}
								with open(__snake_case	,    encoding='''utf-8'''	) as merges_handle:
															UpperCAmelCase				: Optional[Any]											=	merges_handle.read().split('''\n'''	)[1:-1]
								UpperCAmelCase				: Optional[Any]											=	[tuple(merge.split()	) for merge in bpe_merges]
								UpperCAmelCase				: Tuple											=	dict(zip(__snake_case	,    range(len(__snake_case	)	)	)	)
								UpperCAmelCase				: List[str]											=	{}
								UpperCAmelCase				: Optional[int]											=	add_prefix_space

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								UpperCAmelCase				: Any											=	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    :  Optional[int]	)    ->	str:
								return len(self.encoder	)







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







	def   A			(		self    :  str	,    __snake_case    :  Union[str, Any]	)    ->	Optional[Any]:
								if token in self.cache:
															return self.cache[token]
								UpperCAmelCase				: int											=	tuple(__snake_case	)
								UpperCAmelCase				: str											=	get_pairs(__snake_case	)

								if not pairs:
															return token

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

																						if word[i] == first and i < len(__snake_case	) - 1 and word[i + 1] == second:
																													new_word.append(first + second	)
																													i += 2
																						else:
																													new_word.append(word[i]	)
																													i += 1
															UpperCAmelCase				: int											=	tuple(__snake_case	)
															UpperCAmelCase				: Tuple											=	new_word
															if len(__snake_case	) == 1:
																						break
															else:
																						UpperCAmelCase				: Tuple											=	get_pairs(__snake_case	)
								UpperCAmelCase				: Optional[int]											=	''' '''.join(__snake_case	)
								UpperCAmelCase				: Any											=	word
								return word







	def   A			(		self    :  Any	,    __snake_case    :  Tuple	)    ->	Optional[Any]:
								UpperCAmelCase				: Union[str, Any]											=	[]
								for token in re.findall(self.pat	,    __snake_case	):
															UpperCAmelCase				: Optional[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(__snake_case	).split(''' '''	)	)
								return bpe_tokens







	def   A			(		self    :  Optional[Any]	,    __snake_case    :  List[Any]	)    ->	Dict:
								return self.encoder.get(__snake_case	,    self.encoder.get(self.unk_token	)	)







	def   A			(		self    :  List[str]	,    __snake_case    :  Optional[int]	)    ->	Optional[Any]:
								return self.decoder.get(__snake_case	)







	def   A			(		self    :  Optional[int]	,    __snake_case    :  int	)    ->	Tuple:
								UpperCAmelCase				: Tuple											=	''''''.join(__snake_case	)
								UpperCAmelCase				: Tuple											=	bytearray([self.byte_decoder[c] for c in text]	).decode('''utf-8'''	,    errors=self.errors	)
								return text







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

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

								UpperCAmelCase				: Union[str, Any]											=	0
								with open(__snake_case	,    '''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 __snake_case	: 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				: Tuple											=	token_index
																						writer.write(''' '''.join(__snake_case	) + '''\n'''	)
																						index += 1

								return vocab_file, merge_file







	def   A			(		self    :  List[str]	,    __snake_case    :  List[int]	,    __snake_case    :  Optional[List[int]] = None	)    ->	List[int]:
								if token_ids_a is None:
															return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								UpperCAmelCase				: Union[str, Any]											=	[self.cls_token_id]
								UpperCAmelCase				: Optional[Any]											=	[self.sep_token_id]
								return cls + token_ids_a + sep + sep + token_ids_a + sep







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

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







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










'''simple docstring'''






from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate

@dataclass(frozen=A__    )
class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	lowerCamelCase__    				= field(default="""language-modeling"""							,	metadata={"""include_in_asdict_even_if_is_default""": True}    )

	lowerCamelCase__    				= Features({"""text""": Value("""string"""    )}    )
	lowerCamelCase__    				= Features({}    )
	lowerCamelCase__    				= "text"







	@property
	def   A			(		self    :  Optional[Any]	)    ->	Dict[str, str]:
								return {self.text_column: "text"}





