


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							:					Tuple     						=     logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
A							:					Tuple     						=     {
    '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							:					Union[str, Any]     						=     {
    '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 	_lowerCAmelCase       (    )						->	Union[str, Any]:


						'''simple docstring'''






						__snake_case				=		(
						    list(range(ord("!" )      ,	ord("~" ) + 1 ) ) + list(range(ord("¡" )      ,	ord("¬" ) + 1 ) ) + list(range(ord("®" )      ,	ord("ÿ" ) + 1 ) )
						)
						__snake_case				=		bs[:]
						__snake_case				=		0
						for b in range(2**8 ):
												if b not in bs:
																		bs.append(_lowerCAmelCase )
																		cs.append(2**8 + n )
																		n += 1
						__snake_case				=		[chr(_lowerCAmelCase ) for n in cs]
						return dict(zip(_lowerCAmelCase      ,	_lowerCAmelCase ) )





def 	_lowerCAmelCase       (    _lowerCAmelCase )						->	int:


						'''simple docstring'''






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






class     UpperCamelCase(  _a   ):
					snake_case_		:				Union[str, Any]										=	VOCAB_FILES_NAMES
					snake_case_		:				Optional[Any]										=	PRETRAINED_VOCAB_FILES_MAP
					snake_case_		:				Optional[int]										=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					snake_case_		:				int										=	["""input_ids""", """attention_mask"""]


					def __init__(						self	:		Dict     ,    SCREAMING_SNAKE_CASE	:		Dict     ,    SCREAMING_SNAKE_CASE	:		str     ,    SCREAMING_SNAKE_CASE	:		str="replace"     ,    SCREAMING_SNAKE_CASE	:		Optional[Any]="<s>"     ,    SCREAMING_SNAKE_CASE	:		str="</s>"     ,    SCREAMING_SNAKE_CASE	:		Tuple="</s>"     ,    SCREAMING_SNAKE_CASE	:		Optional[Any]="<s>"     ,    SCREAMING_SNAKE_CASE	:		Union[str, Any]="<unk>"     ,    SCREAMING_SNAKE_CASE	:		Any="<pad>"     ,    SCREAMING_SNAKE_CASE	:		Any="<mask>"     ,    SCREAMING_SNAKE_CASE	:		Union[str, Any]=False     ,    **SCREAMING_SNAKE_CASE	:		str     ,    )			->	Dict:




											'''simple docstring'''

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

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

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

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

											# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
											__snake_case				=		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	:		int						)			->	List[Any]:




											'''simple docstring'''

											return len(self.encoder						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[int]						)			->	Tuple:




											'''simple docstring'''

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


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Tuple     ,    SCREAMING_SNAKE_CASE	:		Optional[int]						)			->	Any:




											'''simple docstring'''

											if token in self.cache:
																	return self.cache[token]
											__snake_case				=		tuple(SCREAMING_SNAKE_CASE						)
											__snake_case				=		get_pairs(SCREAMING_SNAKE_CASE						)

											if not pairs:
																	return token

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

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


					def 							SCREAMING_SNAKE_CASE_  (						self	:		str     ,    SCREAMING_SNAKE_CASE	:		Union[str, Any]						)			->	Dict:




											'''simple docstring'''

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


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict     ,    SCREAMING_SNAKE_CASE	:		int						)			->	Any:




											'''simple docstring'''

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


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Tuple     ,    SCREAMING_SNAKE_CASE	:		List[Any]						)			->	Any:




											'''simple docstring'''

											return self.decoder.get(SCREAMING_SNAKE_CASE						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict     ,    SCREAMING_SNAKE_CASE	:		Dict						)			->	Union[str, Any]:




											'''simple docstring'''

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


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[int]     ,    SCREAMING_SNAKE_CASE	:		str     ,    SCREAMING_SNAKE_CASE	:		Optional[str] = None						)			->	Tuple[str]:




											'''simple docstring'''

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

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

											__snake_case				=		0
											with open(SCREAMING_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 SCREAMING_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!"						)
																													__snake_case				=		token_index
																							writer.write(" ".join(SCREAMING_SNAKE_CASE						) + "\n"						)
																							index += 1

											return vocab_file, merge_file


					def 							SCREAMING_SNAKE_CASE_  (						self	:		str     ,    SCREAMING_SNAKE_CASE	:		List[int]     ,    SCREAMING_SNAKE_CASE	:		Optional[List[int]] = None						)			->	List[int]:




											'''simple docstring'''

											if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											__snake_case				=		[self.cls_token_id]
											__snake_case				=		[self.sep_token_id]
											return cls + token_ids_a + sep + sep + token_ids_a + sep


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[Any]     ,    SCREAMING_SNAKE_CASE	:		List[int]     ,    SCREAMING_SNAKE_CASE	:		Optional[List[int]] = None     ,    SCREAMING_SNAKE_CASE	:		bool = False						)			->	List[int]:




											'''simple docstring'''

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

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


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Union[str, Any]     ,    SCREAMING_SNAKE_CASE	:		List[int]     ,    SCREAMING_SNAKE_CASE	:		Optional[List[int]] = None						)			->	List[int]:




											'''simple docstring'''

											__snake_case				=		[self.sep_token_id]
											__snake_case				=		[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	:		Union[str, Any]     ,    SCREAMING_SNAKE_CASE	:		List[Any]     ,    SCREAMING_SNAKE_CASE	:		int=False     ,    **SCREAMING_SNAKE_CASE	:		List[Any]						)			->	Tuple:




											'''simple docstring'''

											__snake_case				=		kwargs.pop("add_prefix_space"     ,    self.add_prefix_space						)
											if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE						) > 0 and not text[0].isspace()):
																	__snake_case				=		" " + text
											return (text, kwargs)









import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


A							:					Any     						=     logging.get_logger(__name__)






class     UpperCamelCase(  _a   ):


					def __init__(						self	:		Optional[int]     ,    *SCREAMING_SNAKE_CASE	:		Tuple     ,    **SCREAMING_SNAKE_CASE	:		List[Any]						)			->	None:




											'''simple docstring'''

											warnings.warn(
											    "The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
											    " use BeitImageProcessor instead."     ,    SCREAMING_SNAKE_CASE     ,    )
											super().__init__(*SCREAMING_SNAKE_CASE     ,    **SCREAMING_SNAKE_CASE						)





