



'''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


A__		: str												=  logging.get_logger(__name__)

A__		: int												=  {
    """apple/mobilevitv2-1.0""": """https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json""",
}





class        UpperCAmelCase_  (__lowerCamelCase  ):





    """simple docstring"""






    lowerCamelCase  : Optional[int]												=      "mobilevitv2"







    def __init__(							self      ,					SCREAMING_SNAKE_CASE_=3      ,					SCREAMING_SNAKE_CASE_=2_56      ,					SCREAMING_SNAKE_CASE_=2      ,					SCREAMING_SNAKE_CASE_=2.0      ,					SCREAMING_SNAKE_CASE_="swish"      ,					SCREAMING_SNAKE_CASE_=3      ,					SCREAMING_SNAKE_CASE_=32      ,					SCREAMING_SNAKE_CASE_=0.1      ,					SCREAMING_SNAKE_CASE_=0.0_2      ,					SCREAMING_SNAKE_CASE_=1E-5      ,					SCREAMING_SNAKE_CASE_=5_12      ,					SCREAMING_SNAKE_CASE_=[6, 12, 18]      ,					SCREAMING_SNAKE_CASE_=0.1      ,					SCREAMING_SNAKE_CASE_=2_55      ,					SCREAMING_SNAKE_CASE_=[2, 4, 3]      ,					SCREAMING_SNAKE_CASE_=[1_28, 1_92, 2_56]      ,					SCREAMING_SNAKE_CASE_=1.0      ,					SCREAMING_SNAKE_CASE_=2      ,					SCREAMING_SNAKE_CASE_=0.0      ,					SCREAMING_SNAKE_CASE_=0.0      ,					**SCREAMING_SNAKE_CASE_      ,					)    ->					Any:
         super().__init__(**_UpperCamelCase     )

         __lowerCamelCase       :     Optional[Any]        =		num_channels
         __lowerCamelCase       :     int        =		image_size
         __lowerCamelCase       :     List[str]        =		patch_size
         __lowerCamelCase       :     Optional[Any]        =		expand_ratio
         __lowerCamelCase       :     Any        =		hidden_act
         __lowerCamelCase       :     int        =		conv_kernel_size
         __lowerCamelCase       :     str        =		output_stride
         __lowerCamelCase       :     List[Any]        =		initializer_range
         __lowerCamelCase       :     Dict        =		layer_norm_eps
         __lowerCamelCase       :     Tuple        =		n_attn_blocks
         __lowerCamelCase       :     int        =		base_attn_unit_dims
         __lowerCamelCase       :     Dict        =		width_multiplier
         __lowerCamelCase       :     Tuple        =		ffn_multiplier
         __lowerCamelCase       :     str        =		ffn_dropout
         __lowerCamelCase       :     str        =		attn_dropout
         __lowerCamelCase       :     Dict        =		classifier_dropout_prob

         # decode head attributes for semantic segmentation
         __lowerCamelCase       :     List[str]        =		aspp_out_channels
         __lowerCamelCase       :     Tuple        =		atrous_rates
         __lowerCamelCase       :     List[Any]        =		aspp_dropout_prob
         __lowerCamelCase       :     str        =		semantic_loss_ignore_index







class        UpperCAmelCase_  (__lowerCamelCase  ):





    """simple docstring"""






    lowerCamelCase  : Dict												=      version.parse('1.11'  )







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







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





         if self.task == "image-classification":
              return OrderedDict([('logits', {0: 'batch'})]     )
         else:
              return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]     )







    @property
    def 				lowercase_    (							self     )    ->					float:
         return 1E-4










'''simple docstring'''



def       UpperCAmelCase__ (     UpperCAmelCase_   :    int = 4_00_00_00							)					->		int:
     __lowerCamelCase       :     int        =		1
     __lowerCamelCase       :     Union[str, Any]        =		2
     __lowerCamelCase       :     Optional[int]        =		0
     while j <= n:
          if j % 2 == 0:
               total += j
          __lowerCamelCase    ,	__lowerCamelCase       :     List[Any]        =		j, i + j

     return total


if __name__ == "__main__":
      print(f'''{solution() = }''')






