



'''simple docstring'''





from __future__ import annotations

import math
def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase			):



    """simple docstring"""





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

    if not scores:
        raise ValueError("""Scores cannot be empty"""			)

    if depth == height:
        return scores[node_index]

    return (
        max(
            minimax(depth + 1							,    node_index * 2							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase			)							,    minimax(depth + 1							,    node_index * 2 + 1							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase			)							,    )
        if is_max
        else min(
            minimax(depth + 1							,    node_index * 2							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase			)							,    minimax(depth + 1							,    node_index * 2 + 1							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase			)							,    )
    )
def    _SCREAMING_SNAKE_CASE  (       ):



    """simple docstring"""





    lowerCAmelCase__ :  Tuple							      =					[90, 23, 6, 33, 21, 65, 123, 34423]
    lowerCAmelCase__ :  Optional[int]							      =					math.log(len(UpperCamelCase			)							,    2			)
    print(f"""Optimal value : {minimax(0							,    0							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase			)}"""			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()






'''simple docstring'''

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


lowerCamelCase							:   Tuple  						=	logging.get_logger(__name__)

lowerCamelCase							:   Dict  						=	{
    'microsoft/cvt-13': 'https://huggingface.co/microsoft/cvt-13/resolve/main/config.json',
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}
class   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      lowerCAmelCase__					:     Tuple  					=							"""cvt"""



      def __init__(self    :    int   ,						UpperCamelCase    :    List[Any]=3   ,						UpperCamelCase    :    int=[7, 3, 3]   ,						UpperCamelCase    :    str=[4, 2, 2]   ,						UpperCamelCase    :    Dict=[2, 1, 1]   ,						UpperCamelCase    :    Dict=[64, 192, 384]   ,						UpperCamelCase    :    Dict=[1, 3, 6]   ,						UpperCamelCase    :    Dict=[1, 2, 10]   ,						UpperCamelCase    :    Any=[4.0, 4.0, 4.0]   ,						UpperCamelCase    :    Optional[int]=[0.0, 0.0, 0.0]   ,						UpperCamelCase    :    Optional[int]=[0.0, 0.0, 0.0]   ,						UpperCamelCase    :    int=[0.0, 0.0, 0.1]   ,						UpperCamelCase    :    Any=[True, True, True]   ,						UpperCamelCase    :    int=[False, False, True]   ,						UpperCamelCase    :    Union[str, Any]=["dw_bn", "dw_bn", "dw_bn"]   ,						UpperCamelCase    :    Optional[int]=[3, 3, 3]   ,						UpperCamelCase    :    Tuple=[1, 1, 1]   ,						UpperCamelCase    :    Any=[2, 2, 2]   ,						UpperCamelCase    :    Dict=[1, 1, 1]   ,						UpperCamelCase    :    List[str]=[1, 1, 1]   ,						UpperCamelCase    :    str=0.02   ,						UpperCamelCase    :    int=1E-12   ,						**UpperCamelCase    :    Union[str, Any]   ,						):

             '''simple docstring'''







             super().__init__(**UpperCamelCase )
             lowercase__      			= num_channels
             lowercase__      			= patch_sizes
             lowercase__      			= patch_stride
             lowercase__      			= patch_padding
             lowercase__      			= embed_dim
             lowercase__      			= num_heads
             lowercase__      			= depth
             lowercase__      			= mlp_ratio
             lowercase__      			= attention_drop_rate
             lowercase__      			= drop_rate
             lowercase__      			= drop_path_rate
             lowercase__      			= qkv_bias
             lowercase__      			= cls_token
             lowercase__      			= qkv_projection_method
             lowercase__      			= kernel_qkv
             lowercase__      			= padding_kv
             lowercase__      			= stride_kv
             lowercase__      			= padding_q
             lowercase__      			= stride_q
             lowercase__      			= initializer_range
             lowercase__      			= layer_norm_eps




