


'''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					       =							logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
__UpperCAmelCase					       =							{
    '''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					       =							{
    '''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       _snake_case     (  )		->					Any:
							lowerCAmelCase__      =			(
							    list(range(ord('''!''' )				,					ord('''~''' ) + 1 ) ) + list(range(ord('''¡''' )				,					ord('''¬''' ) + 1 ) ) + list(range(ord('''®''' )				,					ord('''ÿ''' ) + 1 ) )
							)
							lowerCAmelCase__      =			bs[:]
							lowerCAmelCase__      =			0
							for b in range(2**8 ):
														if b not in bs:
																					bs.append(A )
																					cs.append(2**8 + n )
																					n += 1
							lowerCAmelCase__      =			[chr(A ) for n in cs]
							return dict(zip(A				,					A ) )


def       _snake_case     (  A )		->					List[str]:
							lowerCAmelCase__      =			set()
							lowerCAmelCase__      =			word[0]
							for char in word[1:]:
														pairs.add((prev_char, char) )
														lowerCAmelCase__      =			char
							return pairs






class 	a__       (							a__						):





							'''simple docstring'''






							lowercase__    :     List[str]					=   VOCAB_FILES_NAMES
							lowercase__    :     List[str]					=   PRETRAINED_VOCAB_FILES_MAP
							lowercase__    :     int					=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__    :     Optional[int]					=   ["input_ids", "attention_mask"]







							def __init__(	self      ,					lowerCamelCase_      ,					lowerCamelCase_      ,					lowerCamelCase_="replace"      ,					lowerCamelCase_="<s>"      ,					lowerCamelCase_="</s>"      ,					lowerCamelCase_="</s>"      ,					lowerCamelCase_="<s>"      ,					lowerCamelCase_="<unk>"      ,					lowerCamelCase_="<pad>"      ,					lowerCamelCase_="<mask>"      ,					lowerCamelCase_=False      ,					**lowerCamelCase_      ,					) ->							str:
														lowerCAmelCase__      =			AddedToken(lowerCamelCase_      ,					lstrip=lowerCamelCase_      ,					rstrip=lowerCamelCase_     ) if isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) else bos_token
														lowerCAmelCase__      =			AddedToken(lowerCamelCase_      ,					lstrip=lowerCamelCase_      ,					rstrip=lowerCamelCase_     ) if isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) else eos_token
														lowerCAmelCase__      =			AddedToken(lowerCamelCase_      ,					lstrip=lowerCamelCase_      ,					rstrip=lowerCamelCase_     ) if isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) else sep_token
														lowerCAmelCase__      =			AddedToken(lowerCamelCase_      ,					lstrip=lowerCamelCase_      ,					rstrip=lowerCamelCase_     ) if isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) else cls_token
														lowerCAmelCase__      =			AddedToken(lowerCamelCase_      ,					lstrip=lowerCamelCase_      ,					rstrip=lowerCamelCase_     ) if isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) else unk_token
														lowerCAmelCase__      =			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
														lowerCAmelCase__      =			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:
																					lowerCAmelCase__      =			json.load(lowerCamelCase_     )
														lowerCAmelCase__      =			{v: k for k, v in self.encoder.items()}
														lowerCAmelCase__      =			errors  # how to handle errors in decoding
														lowerCAmelCase__      =			bytes_to_unicode()
														lowerCAmelCase__      =			{v: k for k, v in self.byte_encoder.items()}
														with open(lowerCamelCase_      ,					encoding='''utf-8'''     ) as merges_handle:
																					lowerCAmelCase__      =			merges_handle.read().split('''\n'''     )[1:-1]
														lowerCAmelCase__      =			[tuple(merge.split()     ) for merge in bpe_merges]
														lowerCAmelCase__      =			dict(zip(lowerCamelCase_      ,					range(len(lowerCamelCase_     )     )     )     )
														lowerCAmelCase__      =			{}
														lowerCAmelCase__      =			add_prefix_space

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







							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							Union[str, Any]:
														return dict(self.encoder      ,					**self.added_tokens_encoder     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							str:
														if token in self.cache:
																					return self.cache[token]
														lowerCAmelCase__      =			tuple(lowerCamelCase_     )
														lowerCAmelCase__      =			get_pairs(lowerCamelCase_     )

														if not pairs:
																					return token

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







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							Any:
														lowerCAmelCase__      =			[]
														for token in re.findall(self.pat      ,					lowerCamelCase_     ):
																					lowerCAmelCase__      =			''''''.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 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							Tuple:
														return self.encoder.get(lowerCamelCase_      ,					self.encoder.get(self.unk_token     )     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							Any:
														return self.decoder.get(lowerCamelCase_     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							List[str]:
														lowerCAmelCase__      =			''''''.join(lowerCamelCase_     )
														lowerCAmelCase__      =			bytearray([self.byte_decoder[c] for c in text]     ).decode('''utf-8'''      ,					errors=self.errors     )
														return text







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

														lowerCAmelCase__      =			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!'''     )
																																			lowerCAmelCase__      =			token_index
																												writer.write(''' '''.join(lowerCamelCase_     ) + '''\n'''     )
																												index += 1

														return vocab_file, merge_file







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_ = None     ) ->							List[int]:
														if token_ids_a is None:
																					return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
														lowerCAmelCase__      =			[self.cls_token_id]
														lowerCAmelCase__      =			[self.sep_token_id]
														return cls + token_ids_a + sep + sep + token_ids_a + sep







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_ = None      ,					lowerCamelCase_ = 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 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_ = None     ) ->							List[int]:
														lowerCAmelCase__      =			[self.sep_token_id]
														lowerCAmelCase__      =			[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      ,					lowerCamelCase_      ,					lowerCamelCase_=False      ,					**lowerCamelCase_     ) ->							Any:
														lowerCAmelCase__      =			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()):
																					lowerCAmelCase__      =			''' ''' + text
														return (text, kwargs)



'''simple docstring'''






import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionImageVariationPipeline
from diffusers.utils.testing_utils import load_image, require_torch_gpu, slow, torch_device


__UpperCAmelCase					       =							False




class 	a__       (							unittest.TestCase						):





							'''simple docstring'''






							pass




@slow
@require_torch_gpu
class 	a__       (							unittest.TestCase						):





							'''simple docstring'''






							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							str:
														lowerCAmelCase__      =			VersatileDiffusionImageVariationPipeline.from_pretrained('''shi-labs/versatile-diffusion'''     )
														pipe.to(lowerCamelCase_     )
														pipe.set_progress_bar_config(disable=lowerCamelCase_     )

														lowerCAmelCase__      =			load_image(
														    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'''     )
														lowerCAmelCase__      =			torch.manual_seed(0     )
														lowerCAmelCase__      =			pipe(
														    image=lowerCamelCase_      ,					generator=lowerCamelCase_      ,					guidance_scale=7.5      ,					num_inference_steps=50      ,					output_type='''numpy'''      ,					).images

														lowerCAmelCase__      =			image[0, 2_53:2_56, 2_53:2_56, -1]

														assert image.shape == (1, 5_12, 5_12, 3)
														lowerCAmelCase__      =			np.array([0.0_441, 0.0_469, 0.0_507, 0.0_575, 0.0_632, 0.0_650, 0.0_865, 0.0_909, 0.0_945]     )

														assert np.abs(image_slice.flatten() - expected_slice     ).max() < 1e-2