



'''simple docstring'''






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

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



@dataclass(frozen=UpperCamelCase_				)
class 							lowercase       (  UpperCamelCase_				):


 """simple docstring"""


 UpperCAmelCase							=  field(default="""text-classification"""					,					metadata={"""include_in_asdict_even_if_is_default""": True}				)
 UpperCAmelCase							=  Features({"""text""": Value("""string"""				)}				)
 UpperCAmelCase							=  Features({"""labels""": ClassLabel}				)
 UpperCAmelCase							=  """text"""
 UpperCAmelCase							=  """labels"""







 def _snake_case (							self  ,a_							)		->   Union[str, Any]:





        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.'''							)
        _UpperCAmelCase  :						List[Any]			     = copy.deepcopy(self							)
        _UpperCAmelCase  :						Optional[int]			     = self.label_schema.copy()
        _UpperCAmelCase  :						List[Any]			     = features[self.label_column]
        _UpperCAmelCase  :						str			     = label_schema
        return task_template







 @property
 def _snake_case (							self							)		->   Tuple:
        return {
            self.text_column: "text",
            self.label_column: "labels",
        }




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__UpperCamelCase		:       Tuple									=     {
    'configuration_swiftformer': [
        'SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'SwiftFormerConfig',
        'SwiftFormerOnnxConfig',
    ]
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       Optional[Any]									=     [
					    'SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'SwiftFormerForImageClassification',
					    'SwiftFormerModel',
					    'SwiftFormerPreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_swiftformer import (
					    SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    SwiftFormerConfig,
					    SwiftFormerOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_swiftformer import (
										    SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    SwiftFormerForImageClassification,
										    SwiftFormerModel,
										    SwiftFormerPreTrainedModel,
										)

else:
					import sys

					__UpperCamelCase		:       List[Any]									=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





