



"""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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__SCREAMING_SNAKE_CASE     :  Tuple										=					logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     :  int										=					{
    '''facebook/convnext-tiny-224''': '''https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json''',
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}


class 							lowerCamelCase_(      A__, A__			):





					'''simple docstring'''



					lowercase__      :				Any        =       'convnext'

					def __init__(			self ,				lowerCamelCase__=3 ,				lowerCamelCase__=4 ,				lowerCamelCase__=4 ,				lowerCamelCase__=None ,				lowerCamelCase__=None ,				lowerCamelCase__="gelu" ,				lowerCamelCase__=0.0_2 ,				lowerCamelCase__=1e-12 ,				lowerCamelCase__=1e-6 ,				lowerCamelCase__=0.0 ,				lowerCamelCase__=2_2_4 ,				lowerCamelCase__=None ,				lowerCamelCase__=None ,				**lowerCamelCase__ ,				):
									super().__init__(**lowerCamelCase__      )

									_lowerCamelCase					     = num_channels
									_lowerCamelCase					     = patch_size
									_lowerCamelCase					     = num_stages
									_lowerCamelCase					     = [9_6, 1_9_2, 3_8_4, 7_6_8] if hidden_sizes is None else hidden_sizes
									_lowerCamelCase					     = [3, 3, 9, 3] if depths is None else depths
									_lowerCamelCase					     = hidden_act
									_lowerCamelCase					     = initializer_range
									_lowerCamelCase					     = layer_norm_eps
									_lowerCamelCase					     = layer_scale_init_value
									_lowerCamelCase					     = drop_path_rate
									_lowerCamelCase					     = image_size
									_lowerCamelCase					     = ['''stem'''] + [F"""stage{idx}""" for idx in range(1 ,				len(self.depths      ) + 1      )]
									_lowerCamelCase     ,   _lowerCamelCase					     = get_aligned_output_features_output_indices(
									    out_features=lowerCamelCase__ ,				out_indices=lowerCamelCase__ ,				stage_names=self.stage_names      )


class 							lowerCamelCase_(      A__			):





					'''simple docstring'''



					lowercase__      :				Optional[Any]        =       version.parse('1.11'			)

					@property
					def 	snake_case__					(			self      ):
									return OrderedDict(
									    [
									        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
									    ]      )





					@property
					def 	snake_case__					(			self      ):
									return 1e-5








import math

def    lowerCAmelCase__		(			_a				:	int			):

		if 1 < number < 4:
				# 2 and 3 are primes
				return True
		elif number < 2 or number % 2 == 0 or number % 3 == 0:
				# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
				return False

		# All primes number are in format of 6k +/- 1
		for i in range(5     ,					int(math.sqrt(_a			) + 1			)     ,					6			):
				if number % i == 0 or number % (i + 2) == 0:
						return False
		return True

def    lowerCAmelCase__		(			_a				:	int = 60_08_51_47_51_43			):

		try:
				snake_case_ :							int         =				int(_a			)
		except (TypeError, ValueError):
				raise TypeError("Parameter n must be int or castable to int."			)
		if n <= 0:
				raise ValueError("Parameter n must be greater than or equal to one."			)
		snake_case_ :							Dict         =				0
		if is_prime(_a			):
				return n
		while n % 2 == 0:
				n //= 2
		if is_prime(_a			):
				return n
		for i in range(3     ,					int(math.sqrt(_a			)			) + 1     ,					2			):
				if n % i == 0:
						if is_prime(n // i			):
								snake_case_ :							List[Any]         =				n // i
								break
						elif is_prime(_a			):
								snake_case_ :							str         =				i
		return max_number


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