





from ....configuration_utils import PretrainedConfig
from ....utils import logging


UpperCAmelCase     :     List[str]							=	logging.get_logger(__name__)

UpperCAmelCase     :     Optional[Any]							=	{
    """Visual-Attention-Network/van-base""": (
        """https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json"""
    ),
}







class     __lowerCAmelCase	(   UpperCamelCase__):
      _lowercase    : Optional[int]            =      """van"""







      def __init__(   self		,				lowerCAmelCase__=2_2_4		,				lowerCAmelCase__=3		,				lowerCAmelCase__=[7, 3, 3, 3]		,				lowerCAmelCase__=[4, 2, 2, 2]		,				lowerCAmelCase__=[6_4, 1_2_8, 3_2_0, 5_1_2]		,				lowerCAmelCase__=[3, 3, 1_2, 3]		,				lowerCAmelCase__=[8, 8, 4, 4]		,				lowerCAmelCase__="gelu"		,				lowerCAmelCase__=0.02		,				lowerCAmelCase__=1E-6		,				lowerCAmelCase__=1E-2		,				lowerCAmelCase__=0.0		,				lowerCAmelCase__=0.0		,				**lowerCAmelCase__		,				)       ->						Dict:



        '''simple docstring'''




        super().__init__(**lowerCAmelCase__							)
        a__     : Any  =image_size
        a__     : Optional[Any]  =num_channels
        a__     : int  =patch_sizes
        a__     : Union[str, Any]  =strides
        a__     : int  =hidden_sizes
        a__     : str  =depths
        a__     : List[str]  =mlp_ratios
        a__     : Union[str, Any]  =hidden_act
        a__     : Dict  =initializer_range
        a__     : Tuple  =layer_norm_eps
        a__     : Tuple  =layer_scale_init_value
        a__     : str  =drop_path_rate
        a__     : Union[str, Any]  =dropout_rate













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     __lowerCAmelCase	(   UpperCamelCase__):
      _lowercase    : str            =      field(default="""image-classification"""						,    metadata={"""include_in_asdict_even_if_is_default""": True})
      _lowercase    : ClassVar[Features]            =      Features({"""image""": Image()})
      _lowercase    : ClassVar[Features]            =      Features({"""labels""": ClassLabel})
      _lowercase    : str            =      "image"
      _lowercase    : str            =      "labels"







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						List[Any]:



        '''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]		,				lowerCAmelCase__							):
          raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''							)
        a__     : int  =copy.deepcopy(self							)
        a__     : Dict  =self.label_schema.copy()
        a__     : int  =features[self.label_column]
        a__     : str  =label_schema
        return task_template







      @property
      def        _lowercase  (   self							)       ->						Dict[str, str]:



        '''simple docstring'''




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






