
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


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

lowercase__	:str										=					{"vocab_file": "vocab.txt"}

lowercase__	:int										=					{
    "vocab_file": {
        "YituTech/conv-bert-base": "https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt",
        "YituTech/conv-bert-medium-small": (
            "https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt"
        ),
        "YituTech/conv-bert-small": "https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt",
    }
}

lowercase__	:Tuple										=					{
    "YituTech/conv-bert-base": 512,
    "YituTech/conv-bert-medium-small": 512,
    "YituTech/conv-bert-small": 512,
}


lowercase__	:Dict										=					{
    "YituTech/conv-bert-base": {"do_lower_case": True},
    "YituTech/conv-bert-medium-small": {"do_lower_case": True},
    "YituTech/conv-bert-small": {"do_lower_case": True},
}







class        lowercase	(      SCREAMING_SNAKE_CASE__	):
							lowercase_ : int       =VOCAB_FILES_NAMES
							lowercase_ : Optional[int]       =PRETRAINED_VOCAB_FILES_MAP
							lowercase_ : List[str]       =PRETRAINED_INIT_CONFIGURATION
							lowercase_ : Any       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase_ : Optional[Any]       =ConvBertTokenizer




							def __init__(       self     ,A__=None     ,A__=None     ,A__=True     ,A__="[UNK]"     ,A__="[SEP]"     ,A__="[PAD]"     ,A__="[CLS]"     ,A__="[MASK]"     ,A__=True     ,A__=None     ,**A__     ,):
												super().__init__(
												    A__     ,tokenizer_file=A__     ,do_lower_case=A__     ,unk_token=A__     ,sep_token=A__     ,pad_token=A__     ,cls_token=A__     ,mask_token=A__     ,tokenize_chinese_chars=A__     ,strip_accents=A__     ,**A__     ,)

												lowercase					=		json.loads(self.backend_tokenizer.normalizer.__getstate__())
												if (
												    normalizer_state.get('''lowercase'''     ,A__) != do_lower_case
												    or normalizer_state.get('''strip_accents'''     ,A__) != strip_accents
												    or normalizer_state.get('''handle_chinese_chars'''     ,A__) != tokenize_chinese_chars
												):
																	lowercase					=		getattr(A__     ,normalizer_state.pop('''type'''))
																	lowercase					=		do_lower_case
																	lowercase					=		strip_accents
																	lowercase					=		tokenize_chinese_chars
																	lowercase					=		normalizer_class(**A__)

												lowercase					=		do_lower_case




							def 				A__   (       self     ,A__     ,A__=None):
												lowercase					=		[self.cls_token_id] + token_ids_a + [self.sep_token_id]

												if token_ids_a:
																	output += token_ids_a + [self.sep_token_id]

												return output




							def 				A__   (       self     ,A__     ,A__ = None):
												lowercase					=		[self.sep_token_id]
												lowercase					=		[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) * [0] + len(token_ids_a + sep) * [1]





							def 				A__   (       self     ,A__     ,A__ = None):
												lowercase					=		self._tokenizer.model.save(A__     ,name=A__)
												return tuple(A__)






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__	:Tuple										=					{
    "configuration_instructblip": [
        "INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "InstructBlipConfig",
        "InstructBlipQFormerConfig",
        "InstructBlipVisionConfig",
    ],
    "processing_instructblip": ["InstructBlipProcessor"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase__	:List[str]										=					[
							    "INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "InstructBlipQFormerModel",
							    "InstructBlipPreTrainedModel",
							    "InstructBlipForConditionalGeneration",
							    "InstructBlipVisionModel",
							]

if TYPE_CHECKING:
							from .configuration_instructblip import (
							    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    InstructBlipConfig,
							    InstructBlipQFormerConfig,
							    InstructBlipVisionConfig,
							)
							from .processing_instructblip import InstructBlipProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_instructblip import (
														    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
														    InstructBlipForConditionalGeneration,
														    InstructBlipPreTrainedModel,
														    InstructBlipQFormerModel,
														    InstructBlipVisionModel,
														)

else:
							import sys

							lowercase__	:List[str]										=					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




