





from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__											= logging.get_logger(__name__)

UpperCamelCase__											= {
    '''vinvino02/glpn-kitti''': '''https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json''',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}

class        __SCREAMING_SNAKE_CASE					(     _a       ):
							snake_case     :      Optional[Any]						     =       """glpn"""






							def __init__(						self  , __lowerCAmelCase=3  , __lowerCAmelCase=4  , __lowerCAmelCase=[2, 2, 2, 2]  , __lowerCAmelCase=[8, 4, 2, 1]  , __lowerCAmelCase=[32, 64, 160, 256]  , __lowerCAmelCase=[7, 3, 3, 3]  , __lowerCAmelCase=[4, 2, 2, 2]  , __lowerCAmelCase=[1, 2, 5, 8]  , __lowerCAmelCase=[4, 4, 4, 4]  , __lowerCAmelCase="gelu"  , __lowerCAmelCase=0.0  , __lowerCAmelCase=0.0  , __lowerCAmelCase=0.02  , __lowerCAmelCase=0.1  , __lowerCAmelCase=1E-6  , __lowerCAmelCase=64  , __lowerCAmelCase=10  , __lowerCAmelCase=-1  , **__lowerCAmelCase  , ):
														super().__init__(**UpperCamelCase_  )

														UpperCamelCase__				     =			num_channels
														UpperCamelCase__				     =			num_encoder_blocks
														UpperCamelCase__				     =			depths
														UpperCamelCase__				     =			sr_ratios
														UpperCamelCase__				     =			hidden_sizes
														UpperCamelCase__				     =			patch_sizes
														UpperCamelCase__				     =			strides
														UpperCamelCase__				     =			mlp_ratios
														UpperCamelCase__				     =			num_attention_heads
														UpperCamelCase__				     =			hidden_act
														UpperCamelCase__				     =			hidden_dropout_prob
														UpperCamelCase__				     =			attention_probs_dropout_prob
														UpperCamelCase__				     =			initializer_range
														UpperCamelCase__				     =			drop_path_rate
														UpperCamelCase__				     =			layer_norm_eps
														UpperCamelCase__				     =			decoder_hidden_size
														UpperCamelCase__				     =			max_depth
														UpperCamelCase__				     =			head_in_index











import math





def     _UpperCamelCase     (a__   :int       ):






							"""simple docstring"""





							UpperCamelCase__				     =			[True] * n
							UpperCamelCase__				     =			False
							UpperCamelCase__				     =			False
							UpperCamelCase__				     =			True

							for i in range(3   ,			int(n**0.5 + 1       )   ,			2       ):
														UpperCamelCase__				     =			i * 2
														while index < n:
																					UpperCamelCase__				     =			False
																					UpperCamelCase__				     =			index + i

							UpperCamelCase__				     =			[2]

							for i in range(3   ,			a__   ,			2       ):
														if is_prime[i]:
																					primes.append(a__       )

							return primes





def     _UpperCamelCase     (a__   :int = 9999_6666_3333       ):






							"""simple docstring"""





							UpperCamelCase__				     =			math.floor(math.sqrt(a__       )       ) + 100
							UpperCamelCase__				     =			prime_sieve(a__       )

							UpperCamelCase__				     =			0
							UpperCamelCase__				     =			0
							UpperCamelCase__				     =			primes[prime_index]

							while (last_prime**2) <= limit:
														UpperCamelCase__				     =			primes[prime_index + 1]

														UpperCamelCase__				     =			last_prime**2
														UpperCamelCase__				     =			next_prime**2

														# Get numbers divisible by lps(current)
														UpperCamelCase__				     =			lower_bound + last_prime
														while upper_bound > current <= limit:
																					matches_sum += current
																					current += last_prime

														# Reset the upper_bound
														while (upper_bound - next_prime) > limit:
																					upper_bound -= next_prime

														# Add the numbers divisible by ups(current)
														UpperCamelCase__				     =			upper_bound - next_prime
														while current > lower_bound:
																					matches_sum += current
																					current -= next_prime

														# Remove the numbers divisible by both ups and lps
														UpperCamelCase__				     =			0
														while upper_bound > current <= limit:
																					if current <= lower_bound:
																												# Increment the current number
																												current += last_prime * next_prime
																												continue

																					if current > limit:
																												break

																					# Remove twice since it was added by both ups and lps
																					matches_sum -= current * 2

																					# Increment the current number
																					current += last_prime * next_prime

														# Setup for next pair
														UpperCamelCase__				     =			next_prime
														prime_index += 1

							return matches_sum


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




