




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


lowerCamelCase							:						str					       =  logging.get_logger(__name__)

lowerCamelCase							:						Optional[Any]					       =  {
    "google/vit-base-patch16-224": "https://huggingface.co/vit-base-patch16-224/resolve/main/config.json",
    # See all ViT models at https://huggingface.co/models?filter=vit
}







class     A(		UpperCamelCase  ):



 '''simple docstring'''


 UpperCamelCase		  =		'''vit'''

 def __init__(							self   :    Dict		,				A_   :    List[Any]=768		,				A_   :    List[Any]=12		,				A_   :    Tuple=12		,				A_   :    str=3072		,				A_   :    Optional[int]="gelu"		,				A_   :    Tuple=0.0		,				A_   :    Any=0.0		,				A_   :    Tuple=0.02		,				A_   :    Dict=1E-12		,				A_   :    Dict=224		,				A_   :    Tuple=16		,				A_   :    Optional[int]=3		,				A_   :    Dict=True		,				A_   :    List[Any]=16		,				**A_   :    Tuple		,				)  ->      int:

       """simple docstring"""






       super().__init__(**A_    )

       lowerCamelCase_							=       hidden_size
       lowerCamelCase_							=       num_hidden_layers
       lowerCamelCase_							=       num_attention_heads
       lowerCamelCase_							=       intermediate_size
       lowerCamelCase_							=       hidden_act
       lowerCamelCase_							=       hidden_dropout_prob
       lowerCamelCase_							=       attention_probs_dropout_prob
       lowerCamelCase_							=       initializer_range
       lowerCamelCase_							=       layer_norm_eps
       lowerCamelCase_							=       image_size
       lowerCamelCase_							=       patch_size
       lowerCamelCase_							=       num_channels
       lowerCamelCase_							=       qkv_bias
       lowerCamelCase_							=       encoder_stride







class     A(		UpperCamelCase  ):



 '''simple docstring'''


 UpperCamelCase		  =		version.parse('''1.11'''  )

 @property
 def 							a__					(							self   :    Any    )  ->      Mapping[str, Mapping[int, str]]:

       """simple docstring"""






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





 @property
 def 							a__					(							self   :    Optional[Any]    )  ->      float:

       """simple docstring"""






       return 1E-4







def    __lowerCamelCase   (      A__						: float						,						A__						: float						,						A__						: float						,						A__						: float						,						A__						: float						,						)     ->    float:
   lowerCamelCase_						:   List[str]		= [redshift, radiation_density, matter_density, dark_energy]
   if any(p < 0 for p in parameters					):
      raise ValueError("""All input parameters must be positive"""					)

   if any(p > 1 for p in parameters[1:4]					):
      raise ValueError("""Relative densities cannot be greater than one"""					)
   else:
      lowerCamelCase_						:   Union[str, Any]		= 1 - (matter_density + radiation_density + dark_energy)

      lowerCamelCase_						:   int		= (
          radiation_density * (redshift + 1) ** 4
          + matter_density * (redshift + 1) ** 3
          + curvature * (redshift + 1) ** 2
          + dark_energy
      )

      lowerCamelCase_						:   Dict		= hubble_constant * e_a ** (1 / 2)
      return hubble


if __name__ == "__main__":
      import doctest

      # run doctest
      doctest.testmod()

      # demo LCDM approximation
      snake_case__				:	str					       =					0.3

      print(
          hubble_parameter(
              hubble_constant=6_8.3,
              radiation_density=1e-4,
              matter_density=matter_density,
              dark_energy=1 - matter_density,
              redshift=0,
          )
      )





