



'''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   :			Union[str, Any]					  =    logging.get_logger(__name__)

a   :			Tuple					  =    {
    """facebook/levit-128S""": """https://huggingface.co/facebook/levit-128S/resolve/main/config.json""",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}

class 			UpperCamelCase_ (							__magic_name__			):
	lowercase          = 'levit'





	def __init__(  self		,		A=224		,		A=3		,		A=3		,		A=2		,		A=1		,		A=16		,		A=[128, 256, 384]		,		A=[4, 8, 12]		,		A=[4, 4, 4]		,		A=[16, 16, 16]		,		A=0		,		A=[2, 2, 2]		,		A=[2, 2, 2]		,		A=0.0_2		,		**A		,		)			->			int:
								super().__init__(**A    )
								UpperCAmelCase     :		Optional[Any]							     =		image_size
								UpperCAmelCase     :		str							     =		num_channels
								UpperCAmelCase     :		Any							     =		kernel_size
								UpperCAmelCase     :		str							     =		stride
								UpperCAmelCase     :		Optional[Any]							     =		padding
								UpperCAmelCase     :		List[str]							     =		hidden_sizes
								UpperCAmelCase     :		Union[str, Any]							     =		num_attention_heads
								UpperCAmelCase     :		Any							     =		depths
								UpperCAmelCase     :		Optional[Any]							     =		key_dim
								UpperCAmelCase     :		Union[str, Any]							     =		drop_path_rate
								UpperCAmelCase     :		str							     =		patch_size
								UpperCAmelCase     :		List[Any]							     =		attention_ratio
								UpperCAmelCase     :		Optional[Any]							     =		mlp_ratio
								UpperCAmelCase     :		Tuple							     =		initializer_range
								UpperCAmelCase     :		Dict							     =		[
								    ["""Subsample""", key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
								    ["""Subsample""", key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
								]




class 			UpperCamelCase_ (							__magic_name__			):
	lowercase          = 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    )			->			float:
								return 1e-4






'''simple docstring'''




from itertools import count



def       __lowerCamelCase  (					_lowercase = 5_0		)      ->			int:
							UpperCAmelCase     :		Any							     =		[1] * min_block_length

							for n in count(_lowercase		):
														fill_count_functions.append(1		)

														for block_length in range(_lowercase	,				n + 1		):
																					for block_start in range(n - block_length		):
																												fill_count_functions[n] += fill_count_functions[
																												    n - block_start - block_length - 1
																												]

																					fill_count_functions[n] += 1

														if fill_count_functions[n] > 1_0_0_0_0_0_0:
																					break

							return n


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

