
"""simple docstring"""




from ..utils import deprecate
from .attention_processor import (  # noqa: F401
    Attention,
    AttentionProcessor,
    AttnAddedKVProcessor,
    AttnProcessor2_0,
    LoRAAttnProcessor,
    LoRALinearLayer,
    LoRAXFormersAttnProcessor,
    SlicedAttnAddedKVProcessor,
    SlicedAttnProcessor,
    XFormersAttnProcessor,
)
from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401


deprecate(
    'cross_attention',
    '0.20.0',
    'Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.',
    standard_warn=False,
)


UpperCAmelCase__				:   Dict   							=			AttentionProcessor



class      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				def __init__(self       ,	*SCREAMING_SNAKE_CASE__       ,	**SCREAMING_SNAKE_CASE__   ) ->		List[str]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Dict									=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
											deprecate("""cross_attention"""       ,	"""0.20.0"""       ,	__A       ,	standard_warn=__A   )
											super().__init__(*__A       ,	**__A   )






class      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				def __init__(self       ,	*SCREAMING_SNAKE_CASE__       ,	**SCREAMING_SNAKE_CASE__   ) ->		List[Any]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	List[str]									=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
											deprecate("""cross_attention"""       ,	"""0.20.0"""       ,	__A       ,	standard_warn=__A   )
											super().__init__(*__A       ,	**__A   )






class      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				def __init__(self       ,	*SCREAMING_SNAKE_CASE__       ,	**SCREAMING_SNAKE_CASE__   ) ->		Optional[Any]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	int									=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
											deprecate("""cross_attention"""       ,	"""0.20.0"""       ,	__A       ,	standard_warn=__A   )
											super().__init__(*__A       ,	**__A   )






class      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				def __init__(self       ,	*SCREAMING_SNAKE_CASE__       ,	**SCREAMING_SNAKE_CASE__   ) ->		List[str]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Optional[int]									=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
											deprecate("""cross_attention"""       ,	"""0.20.0"""       ,	__A       ,	standard_warn=__A   )
											super().__init__(*__A       ,	**__A   )






class      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				def __init__(self       ,	*SCREAMING_SNAKE_CASE__       ,	**SCREAMING_SNAKE_CASE__   ) ->		str:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Any									=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
											deprecate("""cross_attention"""       ,	"""0.20.0"""       ,	__A       ,	standard_warn=__A   )
											super().__init__(*__A       ,	**__A   )






class      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				def __init__(self       ,	*SCREAMING_SNAKE_CASE__       ,	**SCREAMING_SNAKE_CASE__   ) ->		Tuple:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Dict									=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
											deprecate("""cross_attention"""       ,	"""0.20.0"""       ,	__A       ,	standard_warn=__A   )
											super().__init__(*__A       ,	**__A   )






class      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				def __init__(self       ,	*SCREAMING_SNAKE_CASE__       ,	**SCREAMING_SNAKE_CASE__   ) ->		Any:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Optional[int]									=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
											deprecate("""cross_attention"""       ,	"""0.20.0"""       ,	__A       ,	standard_warn=__A   )
											super().__init__(*__A       ,	**__A   )






class      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				def __init__(self       ,	*SCREAMING_SNAKE_CASE__       ,	**SCREAMING_SNAKE_CASE__   ) ->		Optional[int]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Dict									=       F'''{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'   )   )} instead.'''
											deprecate("""cross_attention"""       ,	"""0.20.0"""       ,	__A       ,	standard_warn=__A   )
											super().__init__(*__A       ,	**__A   )








"""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__				:   Optional[Any]   							=			logging.get_logger(__name__)


UpperCAmelCase__				:   Optional[int]   							=			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all MVP models at https://huggingface.co/models?filter=mvp
UpperCAmelCase__				:   Optional[Any]   							=			{
    'vocab_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json',
    },
    'added_tokens.json': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json',
    },
    'merges_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt',
    },
}

UpperCAmelCase__				:   Dict   							=			{
    'RUCAIBox/mvp': 1_0_2_4,
}

@lru_cache()
def lowercase_  (       ):
							SCREAMING_SNAKE_CASE__						:	Dict									=       (
							    list(range(ord("""!"""						)       ,ord("""~"""						) + 1						)						) + list(range(ord("""¡"""						)       ,ord("""¬"""						) + 1						)						) + list(range(ord("""®"""						)       ,ord("""ÿ"""						) + 1						)						)
							)
							SCREAMING_SNAKE_CASE__						:	str									=       bs[:]
							SCREAMING_SNAKE_CASE__						:	Any									=       0
							for b in range(2**8						):
														if b not in bs:
																					bs.append(_snake_case						)
																					cs.append(2**8 + n						)
																					n += 1
							SCREAMING_SNAKE_CASE__						:	List[str]									=       [chr(_snake_case						) for n in cs]
							return dict(zip(_snake_case       ,_snake_case						)						)

def lowercase_  (       _snake_case						):
							SCREAMING_SNAKE_CASE__						:	Tuple									=       set()
							SCREAMING_SNAKE_CASE__						:	Any									=       word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)						)
														SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       char
							return pairs



class      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				__UpperCamelCase				:						int 	=       VOCAB_FILES_NAMES
				__UpperCamelCase				:						str 	=       PRETRAINED_VOCAB_FILES_MAP
				__UpperCamelCase				:						str 	=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__UpperCamelCase				:						List[Any] 	=       ['''input_ids''', '''attention_mask''']



				def __init__(self       ,	SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__="replace"       ,	SCREAMING_SNAKE_CASE__="<s>"       ,	SCREAMING_SNAKE_CASE__="</s>"       ,	SCREAMING_SNAKE_CASE__="</s>"       ,	SCREAMING_SNAKE_CASE__="<s>"       ,	SCREAMING_SNAKE_CASE__="<unk>"       ,	SCREAMING_SNAKE_CASE__="<pad>"       ,	SCREAMING_SNAKE_CASE__="<mask>"       ,	SCREAMING_SNAKE_CASE__=False       ,	**SCREAMING_SNAKE_CASE__       ,	) ->		Optional[int]:



											"""simple docstring"""




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

											# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
											SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       re.compile(r"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""   )



				@property
				def      __magic_name__   (self   ) ->		Tuple:



											"""simple docstring"""




											return len(self.encoder   )



				def      __magic_name__   (self   ) ->		Optional[Any]:



											"""simple docstring"""




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



				def      __magic_name__   (self       ,	SCREAMING_SNAKE_CASE__   ) ->		Dict:



											"""simple docstring"""




											if token in self.cache:
																		return self.cache[token]
											SCREAMING_SNAKE_CASE__						:	Dict									=       tuple(SCREAMING_SNAKE_CASE__   )
											SCREAMING_SNAKE_CASE__						:	str									=       get_pairs(SCREAMING_SNAKE_CASE__   )

											if not pairs:
																		return token

											while True:
																		SCREAMING_SNAKE_CASE__						:	Any									=       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
																		SCREAMING_SNAKE_CASE__				,				SCREAMING_SNAKE_CASE__						:	int									=       bigram
																		SCREAMING_SNAKE_CASE__						:	List[Any]									=       []
																		SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       0
																		while i < len(SCREAMING_SNAKE_CASE__   ):
																									try:
																																SCREAMING_SNAKE_CASE__						:	str									=       word.index(SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__   )
																									except ValueError:
																																new_word.extend(word[i:]   )
																																break
																									else:
																																new_word.extend(word[i:j]   )
																																SCREAMING_SNAKE_CASE__						:	Tuple									=       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
																		SCREAMING_SNAKE_CASE__						:	int									=       tuple(SCREAMING_SNAKE_CASE__   )
																		SCREAMING_SNAKE_CASE__						:	Optional[int]									=       new_word
																		if len(SCREAMING_SNAKE_CASE__   ) == 1:
																									break
																		else:
																									SCREAMING_SNAKE_CASE__						:	List[Any]									=       get_pairs(SCREAMING_SNAKE_CASE__   )
											SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       """ """.join(SCREAMING_SNAKE_CASE__   )
											SCREAMING_SNAKE_CASE__						:	Optional[int]									=       word
											return word



				def      __magic_name__   (self       ,	SCREAMING_SNAKE_CASE__   ) ->		Optional[Any]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Optional[int]									=       []
											for token in re.findall(self.pat       ,	SCREAMING_SNAKE_CASE__   ):
																		SCREAMING_SNAKE_CASE__						:	Dict									=       """""".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      __magic_name__   (self       ,	SCREAMING_SNAKE_CASE__   ) ->		str:



											"""simple docstring"""




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



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



											"""simple docstring"""




											return self.decoder.get(SCREAMING_SNAKE_CASE__   )



				def      __magic_name__   (self       ,	SCREAMING_SNAKE_CASE__   ) ->		Any:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	int									=       """""".join(SCREAMING_SNAKE_CASE__   )
											SCREAMING_SNAKE_CASE__						:	List[Any]									=       bytearray([self.byte_decoder[c] for c in text]   ).decode("""utf-8"""       ,	errors=self.errors   )
											return text



				def      __magic_name__   (self       ,	SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__ = 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
											SCREAMING_SNAKE_CASE__						:	str									=       os.path.join(
											    SCREAMING_SNAKE_CASE__       ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )
											SCREAMING_SNAKE_CASE__						:	List[str]									=       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"""   )

											SCREAMING_SNAKE_CASE__						:	Dict									=       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!"""   )
																																SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       token_index
																									writer.write(""" """.join(SCREAMING_SNAKE_CASE__   ) + """\n"""   )
																									index += 1

											return vocab_file, merge_file



				def      __magic_name__   (self       ,	SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__ = None   ) ->		List[int]:



											"""simple docstring"""




											if token_ids_a is None:
																		return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       [self.cls_token_id]
											SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       [self.sep_token_id]
											return cls + token_ids_a + sep + sep + token_ids_a + sep



				def      __magic_name__   (self       ,	SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__ = None       ,	SCREAMING_SNAKE_CASE__ = 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      __magic_name__   (self       ,	SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__ = None   ) ->		List[int]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Dict									=       [self.sep_token_id]
											SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       [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      __magic_name__   (self       ,	SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__=False       ,	**SCREAMING_SNAKE_CASE__   ) ->		List[Any]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Any									=       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()):
																		SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       """ """ + text
											return (text, kwargs)




