



from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate



@dataclass(frozen=UpperCAmelCase__	)
class 		_lowercase		(       UpperCAmelCase__	):
   _UpperCAmelCase     	=			field(default='''language-modeling''',   metadata={'''include_in_asdict_even_if_is_default''': True}	)

   _UpperCAmelCase     	=			Features({'''text''': Value('''string'''	)}	)
   _UpperCAmelCase     	=			Features({}	)
   _UpperCAmelCase     	=			"text"

   @property
   def 		A							(      self			:       int							)       ->				Dict[str, str]:


    """simple docstring"""






    return {self.text_column: "text"}






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A_		:     Optional[int]        =     {
    '''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:
     A_		:     List[Any]        =     [
         '''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

     A_		:     Tuple        =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

