"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCamelCase:				List[Any]    							=  logging.get_logger(__name__)

_UpperCamelCase:				Tuple    							=  {
    "MBZUAI/swiftformer-xs": "https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json",
}


class   a__		(						SCREAMING_SNAKE_CASE__     ):
   _lowerCamelCase												=				'swiftformer'


   def __init__(							self      :							Union[str, Any],     lowerCAmelCase      :							Union[str, Any]=3,     lowerCAmelCase      :							Optional[Any]=[3, 3, 6, 4],     lowerCAmelCase      :							List[str]=[48, 56, 112, 220],     lowerCAmelCase      :							List[str]=4,     lowerCAmelCase      :							str=[True, True, True, True],     lowerCAmelCase      :							str="gelu",     lowerCAmelCase      :							Tuple=3,     lowerCAmelCase      :							str=2,     lowerCAmelCase      :							List[str]=1,     lowerCAmelCase      :							Any=0.0,     lowerCAmelCase      :							Any=True,     lowerCAmelCase      :							Optional[int]=1e-5,     lowerCAmelCase      :							List[str]=1e-5,     **lowerCAmelCase      :							Optional[int],     )    ->       str:
         super().__init__(**lowerCAmelCase			)
         lowercase  :      List[str]					=   num_channels
         lowercase  :      Dict					=   depths
         lowercase  :      Optional[int]					=   embed_dims
         lowercase  :      Any					=   mlp_ratio
         lowercase  :      Any					=   downsamples
         lowercase  :      Union[str, Any]					=   hidden_act
         lowercase  :      Optional[int]					=   down_patch_size
         lowercase  :      Union[str, Any]					=   down_stride
         lowercase  :      Any					=   down_pad
         lowercase  :      Any					=   drop_path_rate
         lowercase  :      List[str]					=   use_layer_scale
         lowercase  :      Optional[int]					=   layer_scale_init_value
         lowercase  :      Union[str, Any]					=   batch_norm_eps




class   a__		(						SCREAMING_SNAKE_CASE__     ):
   _lowerCamelCase												=				version.parse('1.11'     )


   @property
   def        lowercase				(							self      :							List[str]			)    ->       Mapping[str, Mapping[int, str]]:
         return OrderedDict(
             [
                 ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
             ]			)






   @property
   def        lowercase				(							self      :							Dict			)    ->       float:
         return 1e-4





"""simple docstring"""




import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


_UpperCamelCase:				int    							=  TypeVar('T', bound='TaskTemplate')


@dataclass(frozen=SCREAMING_SNAKE_CASE__     )
class   a__		(						abc.ABC     ):
   # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
   _lowerCamelCase												=				42
   _lowerCamelCase												=				42
   _lowerCamelCase												=				42


   def        lowercase				(							self      :							T,     lowerCAmelCase      :							Features			)    ->       T:
         return copy.deepcopy(self			)


   @property
   def        lowercase				(							self      :							Union[str, Any]			)    ->       Features:
         return Features(**self.input_schema,     **self.label_schema			)


   @property
   @abc.abstractmethod
   def        lowercase				(							self      :							Tuple			)    ->       Dict[str, str]:
         raise NotImplementedError






   @classmethod
   def        lowercase				(							cls      :							Type[T],     lowerCAmelCase      :							dict			)    ->       T:
         lowercase  :      Union[str, Any]					=   {f.name for f in dataclasses.fields(cls			)}
         return cls(**{k: v for k, v in template_dict.items() if k in field_names}			)
