





"""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


A 			=  logging.get_logger(__name__)


A 			=  {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all BART models at https://huggingface.co/models?filter=bart
A 			=  {
    '''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''',
    },
}

A 			=  {
    '''facebook/bart-base''': 1_024,
    '''facebook/bart-large''': 1_024,
    '''facebook/bart-large-mnli''': 1_024,
    '''facebook/bart-large-cnn''': 1_024,
    '''facebook/bart-large-xsum''': 1_024,
    '''yjernite/bart_eli5''': 1_024,
}

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

def     __A      (			a_						:int)		->		Union[str, Any]:
				__a :						List[str]			       =  set()
				__a :						int			       =  word[0]
				for char in word[1:]:
								pairs.add((prev_char, char))
								__a :						Union[str, Any]			       =  char
				return pairs






class 				__lowercase			(			_UpperCamelCase							):







		'''simple docstring'''




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







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

						# Mask token behave like a normal word, i.e. include the space before it
						__a :						Optional[Any]			       =  AddedToken(__UpperCamelCase	,			lstrip=__UpperCamelCase	,			rstrip=__UpperCamelCase     ) if isinstance(__UpperCamelCase	,			__UpperCamelCase     ) else mask_token

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

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

						# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
						__a :						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  _lowerCamelCase		(						self     ):
						return len(self.encoder     )







		def  _lowerCamelCase		(						self     ):
						return dict(self.encoder	,			**self.added_tokens_encoder     )







		def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
						if token in self.cache:
										return self.cache[token]
						__a :						List[Any]			       =  tuple(__UpperCamelCase     )
						__a :						int			       =  get_pairs(__UpperCamelCase     )

						if not pairs:
										return token

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

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







		def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
						__a :						Any			       =  []
						for token in re.findall(self.pat	,			__UpperCamelCase     ):
										__a :						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(__UpperCamelCase     ).split(''' '''     )     )
						return bpe_tokens







		def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
						return self.encoder.get(__UpperCamelCase	,			self.encoder.get(self.unk_token     )     )







		def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
						return self.decoder.get(__UpperCamelCase     )







		def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
						__a :						Optional[int]			       =  ''''''.join(__UpperCamelCase     )
						__a :						List[str]			       =  bytearray([self.byte_decoder[c] for c in text]     ).decode('''utf-8'''	,			errors=self.errors     )
						return text







		def  _lowerCamelCase		(						self	,			_UpperCAmelCase	,			_UpperCAmelCase = None     ):
						if not os.path.isdir(__UpperCamelCase     ):
										logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
										return
						__a :						Dict			       =  os.path.join(
						    __UpperCamelCase	,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']     )
						__a :						List[Any]			       =  os.path.join(
						    __UpperCamelCase	,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']     )

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

						__a :						Dict			       =  0
						with open(__UpperCamelCase	,			'''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 _UpperCAmelCase     : 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 :						Tuple			       =  token_index
														writer.write(''' '''.join(__UpperCamelCase     ) + '''\n'''     )
														index += 1

						return vocab_file, merge_file







		def  _lowerCamelCase		(						self	,			_UpperCAmelCase	,			_UpperCAmelCase = None     ):
						if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						__a :						List[str]			       =  [self.cls_token_id]
						__a :						Optional[Any]			       =  [self.sep_token_id]
						return cls + token_ids_a + sep + sep + token_ids_a + sep







		def  _lowerCamelCase		(						self	,			_UpperCAmelCase	,			_UpperCAmelCase = None	,			_UpperCAmelCase = False     ):
						if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=__UpperCamelCase	,			token_ids_a=__UpperCamelCase	,			already_has_special_tokens=__UpperCamelCase     )

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







		def  _lowerCamelCase		(						self	,			_UpperCAmelCase	,			_UpperCAmelCase = None     ):
						__a :						Union[str, Any]			       =  [self.sep_token_id]
						__a :						List[str]			       =  [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  _lowerCamelCase		(						self	,			_UpperCAmelCase	,			_UpperCAmelCase=False	,			**_UpperCAmelCase     ):
						__a :						List[str]			       =  kwargs.pop('''add_prefix_space'''	,			self.add_prefix_space     )
						if (is_split_into_words or add_prefix_space) and (len(__UpperCamelCase     ) > 0 and not text[0].isspace()):
										__a :						List[Any]			       =  ''' ''' + 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=_UpperCamelCase							)
class 				__lowercase			(			_UpperCamelCase							):







					'''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  _lowerCamelCase		(						self     ):
									return {self.text_column: "text"}