





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

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







@dataclass(frozen=lowerCamelCase__	)
class       __A							(   lowerCamelCase__	):




      """simple docstring"""







      UpperCAmelCase__							=   field(default="""audio-classification"""			,metadata={"""include_in_asdict_even_if_is_default""": True}	)
      UpperCAmelCase__							=   Features({"""audio""": Audio()}	)
      UpperCAmelCase__							=   Features({"""labels""": ClassLabel}	)
      UpperCAmelCase__							=   "audio"
      UpperCAmelCase__							=   "labels"


      def 					__snake_case      (		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				:  Optional[int]						=		copy.deepcopy(self)
             _lowerCamelCase				:  Dict						=		self.label_schema.copy()
             _lowerCamelCase				:  int						=		features[self.label_column]
             _lowerCamelCase				:  str						=		label_schema
             return task_template



      @property
      def 					__snake_case      (		self):



             """simple docstring"""





             return {
                 self.audio_column: "audio",
                 self.label_column: "labels",
             }








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCamelCase      							=   {
    'configuration_clipseg': [
        'CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'CLIPSegConfig',
        'CLIPSegTextConfig',
        'CLIPSegVisionConfig',
    ],
    'processing_clipseg': ['CLIPSegProcessor'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _lowerCamelCase      							=   [
           'CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST',
           'CLIPSegModel',
           'CLIPSegPreTrainedModel',
           'CLIPSegTextModel',
           'CLIPSegVisionModel',
           'CLIPSegForImageSegmentation',
       ]

if TYPE_CHECKING:
       from .configuration_clipseg import (
           CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
           CLIPSegConfig,
           CLIPSegTextConfig,
           CLIPSegVisionConfig,
       )
       from .processing_clipseg import CLIPSegProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_clipseg import (
                  CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
                  CLIPSegForImageSegmentation,
                  CLIPSegModel,
                  CLIPSegPreTrainedModel,
                  CLIPSegTextModel,
                  CLIPSegVisionModel,
              )

else:
       import sys

       _lowerCamelCase      							=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

