
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


lowercase   =	logging.get_logger(__name__)


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

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

lowercase   =	{
    '''facebook/bart-base''': 1_0_2_4,
    '''facebook/bart-large''': 1_0_2_4,
    '''facebook/bart-large-mnli''': 1_0_2_4,
    '''facebook/bart-large-cnn''': 1_0_2_4,
    '''facebook/bart-large-xsum''': 1_0_2_4,
    '''yjernite/bart_eli5''': 1_0_2_4,
}



@lru_cache()
def   __lowerCAmelCase    (				)	->     Tuple:
							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(UpperCAmelCase__							)
																					cs.append(2**8 + n							)
																					n += 1
							lowerCamelCase_					=       [chr(UpperCAmelCase__							) for n in cs]
							return dict(zip(UpperCAmelCase__      ,					UpperCAmelCase__							)							)



def   __lowerCAmelCase    (				UpperCAmelCase__					:   Union[str, Any]							)	->     int:
							lowerCamelCase_					=       set()
							lowerCamelCase_					=       word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)							)
														lowerCamelCase_					=       char
							return pairs





class    __A(					UpperCAmelCase							):
					SCREAMING_SNAKE_CASE           =     VOCAB_FILES_NAMES
					SCREAMING_SNAKE_CASE           =     PRETRAINED_VOCAB_FILES_MAP
					SCREAMING_SNAKE_CASE           =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					SCREAMING_SNAKE_CASE           =     ['''input_ids''', '''attention_mask''']

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

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

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

												with open(__UpperCamelCase ,       encoding="""utf-8""" ) as vocab_handle:
																			lowerCamelCase_					=       json.load(__UpperCamelCase )
												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(__UpperCamelCase ,       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(__UpperCamelCase ,       range(len(__UpperCamelCase ) ) ) )
												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  lowercase__   (						self       :  List[Any] ):
												return len(self.encoder )

					def  lowercase__   (						self       :  Tuple ):
												return dict(self.encoder ,       **self.added_tokens_encoder )

					def  lowercase__   (						self       :  List[Any] ,       __UpperCamelCase       :  Union[str, Any] ):
												if token in self.cache:
																			return self.cache[token]
												lowerCamelCase_					=       tuple(__UpperCamelCase )
												lowerCamelCase_					=       get_pairs(__UpperCamelCase )

												if not pairs:
																			return token

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

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

					def  lowercase__   (						self       :  List[str] ,       __UpperCamelCase       :  int ):
												lowerCamelCase_					=       []
												for token in re.findall(self.pat ,       __UpperCamelCase ):
																			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(__UpperCamelCase ).split(""" """ ) )
												return bpe_tokens

					def  lowercase__   (						self       :  Optional[int] ,       __UpperCamelCase       :  str ):
												return self.encoder.get(__UpperCamelCase ,       self.encoder.get(self.unk_token ) )

					def  lowercase__   (						self       :  Optional[Any] ,       __UpperCamelCase       :  Optional[int] ):
												return self.decoder.get(__UpperCamelCase )

					def  lowercase__   (						self       :  str ,       __UpperCamelCase       :  int ):
												lowerCamelCase_					=       """""".join(__UpperCamelCase )
												lowerCamelCase_					=       bytearray([self.byte_decoder[c] for c in text] ).decode("""utf-8""" ,       errors=self.errors )
												return text

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

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

												lowerCamelCase_					=       0
												with open(__UpperCamelCase ,       """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 __UpperCamelCase : 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(__UpperCamelCase ) + """\n""" )
																										index += 1

												return vocab_file, merge_file

					def  lowercase__   (						self       :  List[Any] ,       __UpperCamelCase       :  List[int] ,       __UpperCamelCase       :  Optional[List[int]] = None ):
												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  lowercase__   (						self       :  Tuple ,       __UpperCamelCase       :  List[int] ,       __UpperCamelCase       :  Optional[List[int]] = None ,       __UpperCamelCase       :  bool = False ):
												if already_has_special_tokens:
																			return super().get_special_tokens_mask(
																			    token_ids_a=__UpperCamelCase ,       token_ids_a=__UpperCamelCase ,       already_has_special_tokens=__UpperCamelCase )

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

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







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


lowercase   =	{
    '''configuration_blip''': [
        '''BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BlipConfig''',
        '''BlipTextConfig''',
        '''BlipVisionConfig''',
    ],
    '''processing_blip''': ['''BlipProcessor'''],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	['''BlipImageProcessor''']


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	[
		    '''BLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''BlipModel''',
		    '''BlipPreTrainedModel''',
		    '''BlipForConditionalGeneration''',
		    '''BlipForQuestionAnswering''',
		    '''BlipVisionModel''',
		    '''BlipTextModel''',
		    '''BlipForImageTextRetrieval''',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	[
		    '''TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''TFBlipModel''',
		    '''TFBlipPreTrainedModel''',
		    '''TFBlipForConditionalGeneration''',
		    '''TFBlipForQuestionAnswering''',
		    '''TFBlipVisionModel''',
		    '''TFBlipTextModel''',
		    '''TFBlipForImageTextRetrieval''',
		]

if TYPE_CHECKING:
		from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
		from .processing_blip import BlipProcessor

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_blip import BlipImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_blip import (
				    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BlipForConditionalGeneration,
				    BlipForImageTextRetrieval,
				    BlipForQuestionAnswering,
				    BlipModel,
				    BlipPreTrainedModel,
				    BlipTextModel,
				    BlipVisionModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_blip import (
				    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFBlipForConditionalGeneration,
				    TFBlipForImageTextRetrieval,
				    TFBlipForQuestionAnswering,
				    TFBlipModel,
				    TFBlipPreTrainedModel,
				    TFBlipTextModel,
				    TFBlipVisionModel,
				)

else:
		import sys

		lowercase   =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





