
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 ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
     if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
     from .pipeline_unclip import UnCLIPPipeline
     from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
     from .text_proj import UnCLIPTextProjModel

