

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								=			logging.get_logger(__name__)

__UpperCAmelCase								=			{
    """facebook/levit-128S""": """https://huggingface.co/facebook/levit-128S/resolve/main/config.json""",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}



class SCREAMING_SNAKE_CASE     (  a_			):
  """simple docstring"""






  lowerCamelCase   :      Optional[int]										="levit"







  def __init__(      self			:   Optional[Any]	,							lowerCAmelCase			:   Dict=2_24	,							lowerCAmelCase			:   Optional[int]=3	,							lowerCAmelCase			:   str=3	,							lowerCAmelCase			:   Optional[int]=2	,							lowerCAmelCase			:   List[Any]=1	,							lowerCAmelCase			:   int=16	,							lowerCAmelCase			:   Any=[1_28, 2_56, 3_84]	,							lowerCAmelCase			:   int=[4, 8, 12]	,							lowerCAmelCase			:   Optional[int]=[4, 4, 4]	,							lowerCAmelCase			:   Optional[int]=[16, 16, 16]	,							lowerCAmelCase			:   Dict=0	,							lowerCAmelCase			:   Optional[int]=[2, 2, 2]	,							lowerCAmelCase			:   Any=[2, 2, 2]	,							lowerCAmelCase			:   str=0.02	,							**lowerCAmelCase			:   List[Any]	,							)							->     Dict:






     """simple docstring"""







     super().__init__(**lowerCAmelCase   )
     __lowerCAmelCase  :      Optional[int]    =						image_size
     __lowerCAmelCase  :      Tuple    =						num_channels
     __lowerCAmelCase  :      Any    =						kernel_size
     __lowerCAmelCase  :      str    =						stride
     __lowerCAmelCase  :      List[Any]    =						padding
     __lowerCAmelCase  :      Any    =						hidden_sizes
     __lowerCAmelCase  :      Any    =						num_attention_heads
     __lowerCAmelCase  :      Optional[Any]    =						depths
     __lowerCAmelCase  :      List[str]    =						key_dim
     __lowerCAmelCase  :      Optional[Any]    =						drop_path_rate
     __lowerCAmelCase  :      int    =						patch_size
     __lowerCAmelCase  :      int    =						attention_ratio
     __lowerCAmelCase  :      Any    =						mlp_ratio
     __lowerCAmelCase  :      int    =						initializer_range
     __lowerCAmelCase  :      Optional[int]    =						[
         ["""Subsample""", key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
         ["""Subsample""", key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
     ]






class SCREAMING_SNAKE_CASE     (  a_			):
  """simple docstring"""






  lowerCamelCase   :      Optional[Any]										=version.parse("1.11"			)







  @property
  def 	SCREAMING_SNAKE_CASE   (      self			:   List[str]   )							->     Mapping[str, Mapping[int, str]]:






     """simple docstring"""







     return OrderedDict(
         [
             ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
         ]   )







  @property
  def 	SCREAMING_SNAKE_CASE   (      self			:   List[Any]   )							->     float:






     """simple docstring"""







     return 1e-4





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

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



@dataclass(frozen=a_			)
class SCREAMING_SNAKE_CASE     (  a_			):
  """simple docstring"""






  lowerCamelCase   :      str										=field(default="audio-classification"       ,							metadata={"include_in_asdict_even_if_is_default": True}			)
  lowerCamelCase   :      ClassVar[Features]										=Features({"audio": Audio()}			)
  lowerCamelCase   :      ClassVar[Features]										=Features({"labels": ClassLabel}			)
  lowerCamelCase   :      str										="audio"
  lowerCamelCase   :      str										="labels"







  def 	SCREAMING_SNAKE_CASE   (      self			:   List[Any]	,							lowerCAmelCase			:   Dict   )							->     Dict:






     """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.'''   )
     __lowerCAmelCase  :      Tuple    =						copy.deepcopy(self   )
     __lowerCAmelCase  :      Tuple    =						self.label_schema.copy()
     __lowerCAmelCase  :      Union[str, Any]    =						features[self.label_column]
     __lowerCAmelCase  :      Any    =						label_schema
     return task_template







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






     """simple docstring"""







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


