
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 BART models at https://huggingface.co/models?filter=bart
lowerCamelCase__	=							{
    "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",
    },
}

lowerCamelCase__	=							{
    "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 							__A()		->				Any:

		"""simple docstring"""






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


def 							__A(lowerCAmelCase )		->				Any:

		"""simple docstring"""






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







class        lowerCAmelCase__      (   __lowercase	):
						UpperCamelCase_							: Tuple	=		VOCAB_FILES_NAMES
						UpperCamelCase_							: List[Any]	=		PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase_							: List[str]	=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase_							: Union[str, Any]	=		["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       ,							)					->      Optional[Any]:


								'''simple docstring'''

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

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


								'''simple docstring'''

								return len(self.encoder				)

						def  A_				(			self				)					->      Union[str, Any]:


								'''simple docstring'''

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

						def  A_				(			self       ,							a				)					->      str:


								'''simple docstring'''

								if token in self.cache:
										return self.cache[token]
								_UpperCamelCase						    =	tuple(a				)
								_UpperCamelCase						    =	get_pairs(a				)

								if not pairs:
										return token

								while True:
										_UpperCamelCase						    =	min(a       ,							key=lambda a				: self.bpe_ranks.get(a       ,							float("""inf"""				)				)				)
										if bigram not in self.bpe_ranks:
												break
										_UpperCamelCase    ,	_UpperCamelCase						    =	bigram
										_UpperCamelCase						    =	[]
										_UpperCamelCase						    =	0
										while i < len(a				):
												try:
														_UpperCamelCase						    =	word.index(a       ,							a				)
												except ValueError:
														new_word.extend(word[i:]				)
														break
												else:
														new_word.extend(word[i:j]				)
														_UpperCamelCase						    =	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						    =	tuple(a				)
										_UpperCamelCase						    =	new_word
										if len(a				) == 1:
												break
										else:
												_UpperCamelCase						    =	get_pairs(a				)
								_UpperCamelCase						    =	""" """.join(a				)
								_UpperCamelCase						    =	word
								return word

						def  A_				(			self       ,							a				)					->      Optional[Any]:


								'''simple docstring'''

								_UpperCamelCase						    =	[]
								for token in re.findall(self.pat       ,							a				):
										_UpperCamelCase						    =	"""""".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  A_				(			self       ,							a				)					->      Union[str, Any]:


								'''simple docstring'''

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

						def  A_				(			self       ,							a				)					->      List[str]:


								'''simple docstring'''

								return self.decoder.get(a				)

						def  A_				(			self       ,							a				)					->      int:


								'''simple docstring'''

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

						def  A_				(			self       ,							a       ,							a = None				)					->      Tuple[str]:


								'''simple docstring'''

								if not os.path.isdir(a				):
										logger.error(F'Vocabulary path ({save_directory}) should be a directory'				)
										return
								_UpperCamelCase						    =	os.path.join(
								    a       ,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)
								_UpperCamelCase						    =	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						    =	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						    =	token_index
												writer.write(""" """.join(a				) + """\n"""				)
												index += 1

								return vocab_file, merge_file

						def  A_				(			self       ,							a       ,							a = None				)					->      List[int]:


								'''simple docstring'''

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

						def  A_				(			self       ,							a       ,							a = None       ,							a = False				)					->      List[int]:


								'''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  A_				(			self       ,							a       ,							a = None				)					->      List[int]:


								'''simple docstring'''

								_UpperCamelCase						    =	[self.sep_token_id]
								_UpperCamelCase						    =	[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       ,							a       ,							a=False       ,							**a				)					->      Union[str, Any]:


								'''simple docstring'''

								_UpperCamelCase						    =	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						    =	""" """ + text
								return (text, kwargs)





import warnings

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


lowerCamelCase__	=							logging.get_logger(__name__)







class        lowerCAmelCase__      (   __lowercase	):

						def __init__(			self       ,							*a       ,							**a				)					->      None:


								'''simple docstring'''

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



