
"""simple docstring"""


from __future__ import annotations

import math






def 					_snake_case (						snake_case__      :   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(snake_case__   ) + 1   )		,					6   ):
		if number % i == 0 or number % (i + 2) == 0:
			return False
	return True






def 					_snake_case (						snake_case__      :   int   ):
	A        =      str(snake_case__   )
	A        =      [n]
	for i in range(1		,					len(snake_case__   )   ):
		list_nums.append(int(str_num[i:]   )   )
		list_nums.append(int(str_num[:-i]   )   )
	return list_nums






def 					_snake_case (						snake_case__      :   int   ):
	if len(str(snake_case__   )   ) > 3:
		if not is_prime(int(str(snake_case__   )[-3:]   )   ) or not is_prime(int(str(snake_case__   )[:3]   )   ):
			return False
	return True






def 					_snake_case (						snake_case__      :   int = 11   ):
	A        =      []
	A        =      13
	while len(snake_case__   ) != count:
		if validate(snake_case__   ):
			A        =      list_truncated_nums(snake_case__   )
			if all(is_prime(snake_case__   ) for i in list_nums   ):
				list_truncated_primes.append(snake_case__   )
		num += 2
	return list_truncated_primes






def 					_snake_case (						):
	return sum(compute_truncated_primes(11   )   )


if __name__ == "__main__":
		print(F"""{sum(compute_truncated_primes(11)) = }""")





import warnings

from diffusers import StableDiffusionImgaImgPipeline  # noqa F401


warnings.warn(
    """The `image_to_image.py` script is outdated. Please use directly `from diffusers import"""
    """ StableDiffusionImg2ImgPipeline` instead."""
)




