


"""simple docstring"""


import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


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

__lowerCamelCase      :List[str]	    =		{
    'vocab_file': 'vocab.txt',
    'merges_file': 'bpe.codes',
}

__lowerCamelCase      :Dict	    =		{
    'vocab_file': {
        'vinai/phobert-base': 'https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt',
        'vinai/phobert-large': 'https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt',
    },
    'merges_file': {
        'vinai/phobert-base': 'https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes',
        'vinai/phobert-large': 'https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes',
    },
}

__lowerCamelCase      :List[str]	    =		{
    'vinai/phobert-base': 256,
    'vinai/phobert-large': 256,
}




def   snake_case		(     UpperCamelCase__       :						Union[str, Any]    )   ->      Dict:
      lowerCamelCase					:					Union[str, Any]        =	set()
      lowerCamelCase					:					List[str]        =	word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)    )
            lowerCamelCase					:					Union[str, Any]        =	char

      lowerCamelCase					:					Optional[int]        =	set(UpperCamelCase__    )
      return pairs






class 			A__	(						__lowercase):


     """simple docstring"""
     snake_case__	:					Dict													=VOCAB_FILES_NAMES
     snake_case__	:					Dict													=PRETRAINED_VOCAB_FILES_MAP
     snake_case__	:					Any													=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

     def __init__(	self:						Optional[int]     ,		__a:						List[str]     ,		__a:						Any     ,		__a:						Union[str, Any]="<s>"     ,		__a:						List[Any]="</s>"     ,		__a:						str="</s>"     ,		__a:						str="<s>"     ,		__a:						str="<unk>"     ,		__a:						Dict="<pad>"     ,		__a:						List[str]="<mask>"     ,		**__a:						str     ,		)->    List[str]:
           super().__init__(
               bos_token=__a     ,		eos_token=__a     ,		unk_token=__a     ,		sep_token=__a     ,		cls_token=__a     ,		pad_token=__a     ,		mask_token=__a     ,		**__a     ,		)

           lowerCamelCase					:					Tuple        =	vocab_file
           lowerCamelCase					:					List[Any]        =	merges_file

           lowerCamelCase					:					Tuple        =	{}
           lowerCamelCase					:					List[str]        =	0
           lowerCamelCase					:					Union[str, Any]        =	1
           lowerCamelCase					:					Tuple        =	2
           lowerCamelCase					:					Dict        =	3

           self.add_from_file(__a	)

           lowerCamelCase					:					List[str]        =	{v: k for k, v in self.encoder.items()}

           with open(__a     ,		encoding="""utf-8"""	) as merges_handle:
                 lowerCamelCase					:					Optional[int]        =	merges_handle.read().split("""\n"""	)[:-1]
           lowerCamelCase					:					List[Any]        =	[tuple(merge.split()[:-1]	) for merge in merges]
           lowerCamelCase					:					List[Any]        =	dict(zip(__a     ,		range(len(__a	)	)	)	)
           lowerCamelCase					:					Union[str, Any]        =	{}

     def 		a__						(	self:						Optional[Any]     ,		__a:						List[int]     ,		__a:						Optional[List[int]] = None	)->    List[int]:

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

     def 		a__						(	self:						str     ,		__a:						List[int]     ,		__a:						Optional[List[int]] = None     ,		__a:						bool = False	)->    List[int]:

           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:						str     ,		__a:						List[int]     ,		__a:						Optional[List[int]] = None	)->    List[int]:
           lowerCamelCase					:					int        =	[self.sep_token_id]
           lowerCamelCase					:					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]

     @property
     def 		a__						(	self:						Optional[Any]	)->    Optional[int]:
           return len(self.encoder	)

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

     def 		a__						(	self:						Union[str, Any]     ,		__a:						Union[str, Any]	)->    int:
           if token in self.cache:
                 return self.cache[token]
           lowerCamelCase					:					Tuple        =	tuple(__a	)
           lowerCamelCase					:					List[Any]        =	tuple(list(word[:-1]	) + [word[-1] + """</w>"""]	)
           lowerCamelCase					:					str        =	get_pairs(__a	)

           if not pairs:
                 return token

           while True:
                 lowerCamelCase					:					Union[str, Any]        =	min(__a     ,		key=lambda __a	: self.bpe_ranks.get(__a     ,		float("""inf"""	)	)	)
                 if bigram not in self.bpe_ranks:
                       break
                 lowerCamelCase     ,			lowerCamelCase					:					int        =	bigram
                 lowerCamelCase					:					List[str]        =	[]
                 lowerCamelCase					:					Optional[Any]        =	0
                 while i < len(__a	):
                       try:
                             lowerCamelCase					:					List[str]        =	word.index(__a     ,		__a	)
                       except ValueError:
                             new_word.extend(word[i:]	)
                             break
                       else:
                             new_word.extend(word[i:j]	)
                             lowerCamelCase					:					Union[str, Any]        =	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
                 lowerCamelCase					:					List[str]        =	tuple(__a	)
                 lowerCamelCase					:					int        =	new_word
                 if len(__a	) == 1:
                       break
                 else:
                       lowerCamelCase					:					List[str]        =	get_pairs(__a	)
           lowerCamelCase					:					Tuple        =	"""@@ """.join(__a	)
           lowerCamelCase					:					List[Any]        =	word[:-4]
           lowerCamelCase					:					Union[str, Any]        =	word
           return word

     def 		a__						(	self:						Tuple     ,		__a:						int	)->    Dict:
           lowerCamelCase					:					Optional[Any]        =	[]

           lowerCamelCase					:					Optional[Any]        =	re.findall(r"""\S+\n?"""     ,		__a	)

           for token in words:
                 split_tokens.extend(list(self.bpe(__a	).split(""" """	)	)	)
           return split_tokens

     def 		a__						(	self:						List[str]     ,		__a:						Optional[Any]	)->    Dict:
           return self.encoder.get(__a     ,		self.encoder.get(self.unk_token	)	)

     def 		a__						(	self:						str     ,		__a:						Optional[Any]	)->    Optional[Any]:
           return self.decoder.get(__a     ,		self.unk_token	)

     def 		a__						(	self:						Any     ,		__a:						List[str]	)->    int:
           lowerCamelCase					:					int        =	""" """.join(__a	).replace("""@@ """     ,		""""""	).strip()
           return out_string

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

           if os.path.abspath(self.vocab_file	) != os.path.abspath(__a	):
                 copyfile(self.vocab_file     ,		__a	)

           if os.path.abspath(self.merges_file	) != os.path.abspath(__a	):
                 copyfile(self.merges_file     ,		__a	)

           return out_vocab_file, out_merge_file







     def 		a__						(	self:						List[str]     ,		__a:						Optional[Any]	)->    Union[str, Any]:
           if isinstance(__a     ,		__a	):
                 try:
                       with open(__a     ,		"""r"""     ,		encoding="""utf-8"""	) as fd:
                             self.add_from_file(__a	)
                 except FileNotFoundError as fnfe:
                       raise fnfe
                 except UnicodeError:
                       raise Exception(f'Incorrect encoding detected in {f}, please rebuild the dataset'	)
                 return

           lowerCamelCase					:					Any        =	f.readlines()
           for lineTmp in lines:
                 lowerCamelCase					:					Dict        =	lineTmp.strip()
                 lowerCamelCase					:					Union[str, Any]        =	line.rfind(""" """	)
                 if idx == -1:
                       raise ValueError("""Incorrect dictionary format, expected '<token> <cnt>'"""	)
                 lowerCamelCase					:					Union[str, Any]        =	line[:idx]
                 lowerCamelCase					:					List[str]        =	len(self.encoder	)








"""simple docstring"""


from typing import TYPE_CHECKING

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


__lowerCamelCase      :List[str]	    =		{
    'configuration_owlvit': [
        'OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'OwlViTConfig',
        'OwlViTOnnxConfig',
        'OwlViTTextConfig',
        'OwlViTVisionConfig',
    ],
    'processing_owlvit': ['OwlViTProcessor'],
}


try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase      :Optional[int]	    =		['OwlViTFeatureExtractor']
    __lowerCamelCase      :List[str]	    =		['OwlViTImageProcessor']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase      :Optional[Any]	    =		[
        'OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'OwlViTModel',
        'OwlViTPreTrainedModel',
        'OwlViTTextModel',
        'OwlViTVisionModel',
        'OwlViTForObjectDetection',
    ]

if TYPE_CHECKING:
    from .configuration_owlvit import (
        OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        OwlViTConfig,
        OwlViTOnnxConfig,
        OwlViTTextConfig,
        OwlViTVisionConfig,
    )
    from .processing_owlvit import OwlViTProcessor

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_owlvit import OwlViTFeatureExtractor
        from .image_processing_owlvit import OwlViTImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_owlvit import (
            OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OwlViTForObjectDetection,
            OwlViTModel,
            OwlViTPreTrainedModel,
            OwlViTTextModel,
            OwlViTVisionModel,
        )

else:
    import sys

    __lowerCamelCase      :Dict	    =		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




