


import warnings
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


snake_case__			 =						logging.get_logger(__name__)

snake_case__			 =						{
    '''nvidia/segformer-b0-finetuned-ade-512-512''': (
        '''https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'''
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}


class 					lowerCAmelCase_ (       UpperCamelCase__):
						lowerCamelCase_         =     'segformer'




						def __init__(	self						:   Optional[int]   ,     __A						:   List[Any]=3   ,     __A						:   Optional[Any]=4   ,     __A						:   int=[2, 2, 2, 2]   ,     __A						:   Union[str, Any]=[8, 4, 2, 1]   ,     __A						:   Optional[int]=[32, 64, 160, 256]   ,     __A						:   int=[7, 3, 3, 3]   ,     __A						:   Tuple=[4, 2, 2, 2]   ,     __A						:   str=[1, 2, 5, 8]   ,     __A						:   Union[str, Any]=[4, 4, 4, 4]   ,     __A						:   Any="gelu"   ,     __A						:   List[str]=0.0   ,     __A						:   List[Any]=0.0   ,     __A						:   Any=0.1   ,     __A						:   Optional[int]=0.02   ,     __A						:   List[Any]=0.1   ,     __A						:   int=1E-6   ,     __A						:   int=256   ,     __A						:   Dict=255   ,     **__A						:   Any   ,     )      ->List[Any]:






									"""simple docstring"""






									super().__init__(**__A						)

									if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
												warnings.warn(
												    "Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be"
												    " removed, as the behaviour will default to that of reshape_last_stage = True."   ,     __A   ,     )

									a__ :Optional[Any]						  =    num_channels
									a__ :List[Any]						  =    num_encoder_blocks
									a__ :str						  =    depths
									a__ :Any						  =    sr_ratios
									a__ :Any						  =    hidden_sizes
									a__ :str						  =    patch_sizes
									a__ :int						  =    strides
									a__ :str						  =    mlp_ratios
									a__ :List[Any]						  =    num_attention_heads
									a__ :List[str]						  =    hidden_act
									a__ :Dict						  =    hidden_dropout_prob
									a__ :List[Any]						  =    attention_probs_dropout_prob
									a__ :Any						  =    classifier_dropout_prob
									a__ :Optional[Any]						  =    initializer_range
									a__ :Optional[int]						  =    drop_path_rate
									a__ :Union[str, Any]						  =    layer_norm_eps
									a__ :Dict						  =    decoder_hidden_size
									a__ :Optional[Any]						  =    kwargs.get("reshape_last_stage"   ,     __A						)
									a__ :Dict						  =    semantic_loss_ignore_index






class 					lowerCAmelCase_ (       UpperCamelCase__):
						lowerCamelCase_         =     version.parse('1.11')




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






									"""simple docstring"""






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




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






									"""simple docstring"""






									return 1E-4






						@property
						def  _snake_case					(	self						:   str						)      ->int:






									"""simple docstring"""






									return 12






def 				lowerCamelCase__	(      a	:   int = 1_000_000				)    ->	int:





			"""simple docstring"""
			a__ :int						  =    [i - 1 for i in range(limit + 1				)]

			for i in range(2	,  limit + 1				):
						if phi[i] == i - 1:
									for j in range(2 * i	,  limit + 1	,  a				):
												phi[j] -= phi[j] // i

			return sum(phi[2 : limit + 1]				)


if __name__ == "__main__":
		print(solution())


