
import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
				import jax




@require_flax
class 				_lowerCamelCase (      UpperCamelCase_	,							unittest.TestCase ):





					"""simple docstring"""







					SCREAMING_SNAKE_CASE_		   =  FlaxAutoencoderKL






					@property
					def    __SCREAMING_SNAKE_CASE			(							self  )  ->   List[Any]:




											"""simple docstring"""







											UpperCamelCase__    :   Tuple					=				4
											UpperCamelCase__    :   Union[str, Any]					=				3
											UpperCamelCase__    :   Optional[int]					=				(3_2, 3_2)

											UpperCamelCase__    :   Any					=				jax.random.PRNGKey(0  )
											UpperCamelCase__    :   Any					=				jax.random.uniform(_a						,						((batch_size, num_channels) + sizes)  )

											return {"sample": image, "prng_key": prng_key}






					def    __SCREAMING_SNAKE_CASE			(							self  )  ->   Optional[int]:




											"""simple docstring"""







											UpperCamelCase__    :   List[str]					=				{
											    """block_out_channels""": [3_2, 6_4],
											    """in_channels""": 3,
											    """out_channels""": 3,
											    """down_block_types""": ["""DownEncoderBlock2D""", """DownEncoderBlock2D"""],
											    """up_block_types""": ["""UpDecoderBlock2D""", """UpDecoderBlock2D"""],
											    """latent_channels""": 4,
											}
											UpperCamelCase__    :   Tuple					=				self.dummy_input
											return init_dict, inputs_dict




def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ = 5_0_0_0_0_0_0_0		):
      UpperCamelCase__    :   Any					=				set()
      UpperCamelCase__    :   Any					=				int((limit - 2_4) ** (1 / 2)		)

      UpperCamelCase__    :   Dict					=				set(range(3 ,		prime_square_limit + 1 ,		2		)		)
      primes.add(2		)
      for p in range(3 ,		prime_square_limit + 1 ,		2		):
            if p not in primes:
                  continue
            primes.difference_update(set(range(p * p ,		prime_square_limit + 1 ,		UpperCamelCase__		)		)		)

      for primea in primes:
            UpperCamelCase__    :   Dict					=				primea * primea
            for primea in primes:
                  UpperCamelCase__    :   str					=				primea * primea * primea
                  if square + cube >= limit - 1_6:
                        break
                  for primea in primes:
                        UpperCamelCase__    :   Dict					=				primea * primea * primea * primea
                        UpperCamelCase__    :   Tuple					=				square + cube + tetr
                        if total >= limit:
                              break
                        ret.add(UpperCamelCase__		)

      return len(UpperCamelCase__		)


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


