
'''simple docstring'''







import random
import unittest

import torch

from diffusers import IFImgaImgPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_VARIATION_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin






@skip_mps
class 				lowerCAmelCase__     (						a_					,		a_					,		unittest.TestCase  ):
					lowerCAmelCase_       =  IFImgaImgPipeline
					lowerCAmelCase_       =  TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {'width', 'height'}
					lowerCAmelCase_       =  TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS
					lowerCAmelCase_       =  PipelineTesterMixin.required_optional_params - {'latents'}






					def 			_snake_case					(     self	):


											"""simple docstring"""





											return self._get_dummy_components()






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE=0	):


											"""simple docstring"""





											if str(__SCREAMING_SNAKE_CASE	).startswith('''mps'''	):
																	lowercase_			:  str									= torch.manual_seed(__SCREAMING_SNAKE_CASE	)
											else:
																	lowercase_			:  Any									= torch.Generator(device=__SCREAMING_SNAKE_CASE	).manual_seed(__SCREAMING_SNAKE_CASE	)

											lowercase_			:  Tuple									= floats_tensor((1, 3, 32, 32)       ,							rng=random.Random(__SCREAMING_SNAKE_CASE	)	).to(__SCREAMING_SNAKE_CASE	)

											lowercase_			:  List[str]									= {
											    'prompt': 'A painting of a squirrel eating a burger',
											    'image': image,
											    'generator': generator,
											    'num_inference_steps': 2,
											    'output_type': 'numpy',
											}

											return inputs






					def 			_snake_case					(     self	):


											"""simple docstring"""





											self._test_save_load_optional_components()






					@unittest.skipIf(
					    torch_device != '''cuda''' or not is_xformers_available()       ,							reason='''XFormers attention is only available with CUDA and `xformers` installed'''       ,							)
					def 			_snake_case					(     self	):


											"""simple docstring"""





											self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3	)






					@unittest.skipIf(torch_device != '''cuda'''       ,							reason='''float16 requires CUDA'''	)
					def 			_snake_case					(     self	):


											"""simple docstring"""





											super().test_save_load_floataa(expected_max_diff=1E-1	)






					@unittest.skipIf(torch_device != '''cuda'''       ,							reason='''float16 requires CUDA'''	)
					def 			_snake_case					(     self	):


											"""simple docstring"""





											super().test_floataa_inference(expected_max_diff=1E-1	)






					def 			_snake_case					(     self	):


											"""simple docstring"""





											self._test_attention_slicing_forward_pass(expected_max_diff=1E-2	)






					def 			_snake_case					(     self	):


											"""simple docstring"""





											self._test_save_load_local()






					def 			_snake_case					(     self	):


											"""simple docstring"""





											self._test_inference_batch_single_identical(
											    expected_max_diff=1E-2       ,							)





'''simple docstring'''







import math
def       snake_case_	(       __SCREAMING_SNAKE_CASE      :				int							):



						"""simple docstring"""





						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(__SCREAMING_SNAKE_CASE							) + 1							)   ,   6							):
												if number % i == 0 or number % (i + 2) == 0:
																		return False
						return True
def       snake_case_	(       __SCREAMING_SNAKE_CASE      :				int = 2000000							):



						"""simple docstring"""





						return sum(num for num in range(3   ,   __SCREAMING_SNAKE_CASE   ,   2							) if is_prime(__SCREAMING_SNAKE_CASE							)							) + 2 if n > 2 else 0


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



