




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		:				List[str]       			=		logging.get_logger(__name__)


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

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

__lowerCAmelCase		:				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 			__magic_name__				( ):






			'''simple docstring'''







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




def 			__magic_name__				( A		:					Dict   ):






			'''simple docstring'''







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






class     snake_case__							(_UpperCamelCase   ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_       :							Optional[Any]							 =					VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE_       :							int							 =					PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE_       :							Dict							 =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE_       :							Optional[Any]							 =					["""input_ids""", """attention_mask"""]





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

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

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

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

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





				def 							__UpperCAmelCase							(      self				:     Optional[int]							)					->     str:
							return dict(self.encoder					,      **self.added_tokens_encoder							)





				def 							__UpperCAmelCase							(      self				:     Optional[Any]					,      __lowerCamelCase				:     Any							)					->     Any:
							if token in self.cache:
										return self.cache[token]
							a    =			tuple(__lowerCamelCase							)
							a    =			get_pairs(__lowerCamelCase							)

							if not pairs:
										return token

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

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





				def 							__UpperCAmelCase							(      self				:     Tuple					,      __lowerCamelCase				:     List[str]							)					->     int:
							a    =			[]
							for token in re.findall(self.pat					,      __lowerCamelCase							):
										a    =			"".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(__lowerCamelCase							).split(" "							)							)
							return bpe_tokens





				def 							__UpperCAmelCase							(      self				:     Dict					,      __lowerCamelCase				:     List[str]							)					->     Any:
							return self.encoder.get(__lowerCamelCase					,      self.encoder.get(self.unk_token							)							)





				def 							__UpperCAmelCase							(      self				:     Optional[int]					,      __lowerCamelCase				:     Optional[int]							)					->     int:
							return self.decoder.get(__lowerCamelCase							)





				def 							__UpperCAmelCase							(      self				:     str					,      __lowerCamelCase				:     int							)					->     Tuple:
							a    =			"".join(__lowerCamelCase							)
							a    =			bytearray([self.byte_decoder[c] for c in text]							).decode("utf-8"					,      errors=self.errors							)
							return text





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

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

							a    =			0
							with open(__lowerCamelCase					,      "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 __lowerCamelCase							: 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    =			token_index
													writer.write(" ".join(__lowerCamelCase							) + "\n"							)
													index += 1

							return vocab_file, merge_file





				def 							__UpperCAmelCase							(      self				:     int					,      __lowerCamelCase				:     List[int]					,      __lowerCamelCase				:     Optional[List[int]] = None							)					->     List[int]:
							if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							a    =			[self.cls_token_id]
							a    =			[self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep





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

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





				def 							__UpperCAmelCase							(      self				:     int					,      __lowerCamelCase				:     List[int]					,      __lowerCamelCase				:     Optional[List[int]] = None							)					->     List[int]:
							a    =			[self.sep_token_id]
							a    =			[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				:     Any					,      __lowerCamelCase				:     str					,      __lowerCamelCase				:     Union[str, Any]=False					,      **__lowerCamelCase				:     Tuple							)					->     Optional[Any]:
							a    =			kwargs.pop("add_prefix_space"					,      self.add_prefix_space							)
							if (is_split_into_words or add_prefix_space) and (len(__lowerCamelCase							) > 0 and not text[0].isspace()):
										a    =			" " + text
							return (text, kwargs)












import warnings

from diffusers import StableDiffusionImgaImgPipeline  # noqa F401


warnings.warn(
    'The `image_to_image.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionImg2ImgPipeline` instead.'
)






