





'''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


__lowerCAmelCase				:      Optional[Any]						      =logging.get_logger(__name__)

__lowerCAmelCase				:      Optional[int]						      ={
    "facebook/data2vec-vision-base-ft": (
        "https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json"
    ),
}






class   UpperCAmelCase      (			UpperCamelCase__							):
 __lowercase  						=							"""data2vec-vision"""
 def __init__(							self :List[str]		,			lowercase_ :Optional[Any]=7_68		,			lowercase_ :Optional[int]=12		,			lowercase_ :Union[str, Any]=12		,			lowercase_ :Optional[Any]=30_72		,			lowercase_ :List[str]="gelu"		,			lowercase_ :Optional[Any]=0.0		,			lowercase_ :Tuple=0.0		,			lowercase_ :int=0.0_2		,			lowercase_ :Optional[Any]=1E-12		,			lowercase_ :Optional[int]=2_24		,			lowercase_ :Any=16		,			lowercase_ :str=3		,			lowercase_ :Dict=False		,			lowercase_ :List[str]=False		,			lowercase_ :Any=False		,			lowercase_ :Union[str, Any]=False		,			lowercase_ :List[str]=0.1		,			lowercase_ :List[Any]=0.1		,			lowercase_ :Union[str, Any]=True		,			lowercase_ :int=[3, 5, 7, 11]		,			lowercase_ :Optional[Any]=[1, 2, 3, 6]		,			lowercase_ :Optional[int]=True		,			lowercase_ :Union[str, Any]=0.4		,			lowercase_ :Tuple=2_56		,			lowercase_ :Dict=1		,			lowercase_ :Optional[Any]=False		,			lowercase_ :Optional[int]=2_55		,			**lowercase_ :int		,			)->				str:
     super().__init__(**lowercase_				)

     A__							=     hidden_size
     A__							=     num_hidden_layers
     A__							=     num_attention_heads
     A__							=     intermediate_size
     A__							=     hidden_act
     A__							=     hidden_dropout_prob
     A__							=     attention_probs_dropout_prob
     A__							=     initializer_range
     A__							=     layer_norm_eps

     A__							=     image_size
     A__							=     patch_size
     A__							=     num_channels
     A__							=     use_mask_token
     A__							=     use_absolute_position_embeddings
     A__							=     use_relative_position_bias
     A__							=     use_shared_relative_position_bias
     A__							=     layer_scale_init_value
     A__							=     drop_path_rate
     A__							=     use_mean_pooling
     # decode head attributes (semantic segmentation)
     A__							=     out_indices
     A__							=     pool_scales
     # auxiliary head attributes (semantic segmentation)
     A__							=     use_auxiliary_head
     A__							=     auxiliary_loss_weight
     A__							=     auxiliary_channels
     A__							=     auxiliary_num_convs
     A__							=     auxiliary_concat_input
     A__							=     semantic_loss_ignore_index






class   UpperCAmelCase      (			UpperCamelCase__							):
 __lowercase  						=							version.parse("""1.11"""							)
 @property
 def 	UpperCAmelCase_				(							self :Optional[Any]				)->				Mapping[str, Mapping[int, str]]:
     return OrderedDict(
         [
             ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
         ]				)



 @property
 def 	UpperCAmelCase_				(							self :Union[str, Any]				)->				float:
     return 1E-4










'''simple docstring'''

from __future__ import annotations

import math





def 		UpperCamelCase							(				_lowerCamelCase   :   int		,			_lowerCamelCase   :   int		,			_lowerCamelCase   :   bool		,			_lowerCamelCase   :   list[int]		,			_lowerCamelCase   :   float			):

    if depth < 0:
        raise ValueError("Depth cannot be less than 0"			)

    if len(_lowerCamelCase			) == 0:
        raise ValueError("Scores cannot be empty"			)

    if depth == height:
        return scores[node_index]

    if is_max:
        return max(
            minimax(depth + 1		,			node_index * 2		,			_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)		,			minimax(depth + 1		,			node_index * 2 + 1		,			_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)		,			)

    return min(
        minimax(depth + 1		,			node_index * 2		,			_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)		,			minimax(depth + 1		,			node_index * 2 + 1		,			_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)		,			)





def 		UpperCamelCase							(				):
    A__							=     [90, 23, 6, 33, 21, 65, 1_23, 3_44_23]
    A__							=     math.log(len(_lowerCamelCase			)		,			2			)
    print("Optimal value : "		,			end=""			)
    print(minimax(0		,			0		,			_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()



