
"""simple docstring"""





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


__magic_name__			=     logging.get_logger(__name__)
class 		SCREAMING_SNAKE_CASE_					(		__UpperCAmelCase					):




		"""simple docstring"""





		__lowercase				:    str		  =						'upernet'




		def __init__(	self				,    lowerCAmelCase__=None				,    lowerCAmelCase__=5_1_2				,    lowerCAmelCase__=0.02				,    lowerCAmelCase__=[1, 2, 3, 6]				,    lowerCAmelCase__=True				,    lowerCAmelCase__=0.4				,    lowerCAmelCase__=3_8_4				,    lowerCAmelCase__=2_5_6				,    lowerCAmelCase__=1				,    lowerCAmelCase__=False				,    lowerCAmelCase__=2_5_5				,    **lowerCAmelCase__				,    ):
				super().__init__(**lowerCAmelCase_)

				if backbone_config is None:
						logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.""")
						__SCREAMING_SNAKE_CASE				=					CONFIG_MAPPING['resnet'](out_features=["""stage1""", """stage2""", """stage3""", """stage4"""])
				elif isinstance(lowerCAmelCase_				,    lowerCAmelCase_):
						__SCREAMING_SNAKE_CASE				=					backbone_config.get("""model_type""")
						__SCREAMING_SNAKE_CASE				=					CONFIG_MAPPING[backbone_model_type]
						__SCREAMING_SNAKE_CASE				=					config_class.from_dict(lowerCAmelCase_)

				__SCREAMING_SNAKE_CASE				=					backbone_config
				__SCREAMING_SNAKE_CASE				=					hidden_size
				__SCREAMING_SNAKE_CASE				=					initializer_range
				__SCREAMING_SNAKE_CASE				=					pool_scales
				__SCREAMING_SNAKE_CASE				=					use_auxiliary_head
				__SCREAMING_SNAKE_CASE				=					auxiliary_loss_weight
				__SCREAMING_SNAKE_CASE				=					auxiliary_in_channels
				__SCREAMING_SNAKE_CASE				=					auxiliary_channels
				__SCREAMING_SNAKE_CASE				=					auxiliary_num_convs
				__SCREAMING_SNAKE_CASE				=					auxiliary_concat_input
				__SCREAMING_SNAKE_CASE				=					loss_ignore_index




		def       snake_case_	(	self):
				__SCREAMING_SNAKE_CASE				=					copy.deepcopy(self.__dict__)
				__SCREAMING_SNAKE_CASE				=					self.backbone_config.to_dict()
				__SCREAMING_SNAKE_CASE				=					self.__class__.model_type
				return output












"""simple docstring"""
from __future__ import annotations

from collections.abc import Generator





def 				lowercase__		(					):
				_SCREAMING_SNAKE_CASE   :		dict[int, int]       		=    {}
				_SCREAMING_SNAKE_CASE   :		List[Any]       		=    2
				while True:
								_SCREAMING_SNAKE_CASE   :		List[Any]       		=    factor_map.pop(lowerCamelCase,						lowerCamelCase       )
								if factor:
												_SCREAMING_SNAKE_CASE   :		str       		=    factor + prime
												while x in factor_map:
																x += factor
												_SCREAMING_SNAKE_CASE   :		Union[str, Any]       		=    factor
								else:
												_SCREAMING_SNAKE_CASE   :		Optional[int]       		=    prime
												yield prime
								prime += 1





def 				lowercase__		(					lowerCamelCase = 1E10       ):
				_SCREAMING_SNAKE_CASE   :		Dict       		=    sieve()

				_SCREAMING_SNAKE_CASE   :		Dict       		=    1
				while True:
								_SCREAMING_SNAKE_CASE   :		int       		=    next(lowerCamelCase       )
								if (2 * prime * n) > limit:
												return n
								# Ignore the next prime as the reminder will be 2.
								next(lowerCamelCase       )
								n += 2


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

