




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

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate


@dataclass(frozen=__UpperCAmelCase     )
class  A		(  __UpperCAmelCase     ):
		__snake_case									=   field(default='image-classification'      ,				metadata={'include_in_asdict_even_if_is_default': True}     )
		__snake_case									=   Features({'image': Image()}     )
		__snake_case									=   Features({'labels': ClassLabel}     )
		__snake_case									=   "image"
		__snake_case									=   "labels"



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



								if self.label_column not in features:
														raise ValueError(f"Column {self.label_column} is not present in features."   )
								if not isinstance(features[self.label_column],	UpperCamelCase__   ):
														raise ValueError(f"Column {self.label_column} is not a ClassLabel."   )
								lowerCAmelCase_      			=  copy.deepcopy(self   )
								lowerCAmelCase_      			=  self.label_schema.copy()
								lowerCAmelCase_      			=  features[self.label_column]
								lowerCAmelCase_      			=  label_schema
								return task_template







		@property
		def        SCREAMING_SNAKE_CASE__			(     self   ):







								"""simple docstring"""



								return {
								    self.image_column: "image",
								    self.label_column: "labels",
								}










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




