




"""simple docstring"""




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 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''
				__UpperCamelCase    						=		field(default="image-classification"		,      metadata={"include_in_asdict_even_if_is_default": True}       )
				__UpperCamelCase    						=		Features({"image": Image()}       )
				__UpperCamelCase    						=		Features({"labels": ClassLabel}       )
				__UpperCamelCase    						=		"image"
				__UpperCamelCase    						=		"labels"





				def      _lowerCAmelCase       ( self	,				_a				):





							"""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]	,				_a				):
										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      _lowerCAmelCase       ( self				):





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









"""simple docstring"""




from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase							:    List[str]  							=							{
    """configuration_autoformer""": [
        """AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AutoformerConfig""",
    ],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase							:    Tuple  							=							[
					    """AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """AutoformerForPrediction""",
					    """AutoformerModel""",
					    """AutoformerPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_autoformer import (
					    AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    AutoformerConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_autoformer import (
										    AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    AutoformerForPrediction,
										    AutoformerModel,
										    AutoformerPreTrainedModel,
										)

else:
					import sys

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



