





'''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[int]		     =logging.get_logger(__name__)

__lowerCAmelCase							:     Tuple		     ={
    "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				:Dict						,	lowercase_				:int=7_68						,	lowercase_				:List[str]=12						,	lowercase_				:int=12						,	lowercase_				:Optional[Any]=30_72						,	lowercase_				:Tuple="gelu"						,	lowercase_				:Union[str, Any]=0.0						,	lowercase_				:List[str]=0.0						,	lowercase_				:str=0.0_2						,	lowercase_				:List[str]=1E-12						,	lowercase_				:Any=2_24						,	lowercase_				:str=16						,	lowercase_				:int=3						,	lowercase_				:List[str]=False						,	lowercase_				:Optional[Any]=False						,	lowercase_				:Any=False						,	lowercase_				:Union[str, Any]=False						,	lowercase_				:Any=0.1						,	lowercase_				:Union[str, Any]=0.1						,	lowercase_				:List[Any]=True						,	lowercase_				:str=[3, 5, 7, 11]						,	lowercase_				:Tuple=[1, 2, 3, 6]						,	lowercase_				:Dict=True						,	lowercase_				:Optional[Any]=0.4						,	lowercase_				:str=2_56						,	lowercase_				:List[Any]=1						,	lowercase_				:int=False						,	lowercase_				:Dict=2_55						,	**lowercase_				:Union[str, Any]						,	)->							Union[str, Any]:
     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[int]							)->							Mapping[str, Mapping[int, str]]:
     return OrderedDict(
         [
             ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
         ]							)



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










'''simple docstring'''

def 						UpperCamelCase    (							_lowerCamelCase : int = 1_00_00_00	):
    A__    =      set(range(3						,	_lowerCamelCase						,	2	)	)
    primes.add(2	)
    for p in range(3						,	_lowerCamelCase						,	2	):
        if p not in primes:
            continue
        primes.difference_update(set(range(p * p						,	_lowerCamelCase						,	_lowerCamelCase	)	)	)

    A__    =      [float(_lowerCamelCase	) for n in range(limit + 1	)]

    for p in primes:
        for n in range(_lowerCamelCase						,	limit + 1						,	_lowerCamelCase	):
            phi[n] *= 1 - 1 / p

    return int(sum(phi[2:]	)	)


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



