


from math import factorial, pi
def        UpperCamelCase_(				_A   :float				,     _A   :int = 30  )->		float:

			if not isinstance(_A				,     (int, float)  ):
						raise ValueError("maclaurin_sin() requires either an int or float for theta"  )

			if not isinstance(_A				,     _A  ) or accuracy <= 0:
						raise ValueError("maclaurin_sin() requires a positive int for accuracy"  )

			UpperCamelCase__					=       float(_A  )
			UpperCamelCase__					=       theta // (2 * pi)
			theta -= 2 * div * pi
			return sum(
			    (-1) ** r * theta ** (2 * r + 1) / factorial(2 * r + 1  ) for r in range(_A  )  )
def        UpperCamelCase_(				_A   :float				,     _A   :int = 30  )->		float:

			if not isinstance(_A				,     (int, float)  ):
						raise ValueError("maclaurin_cos() requires either an int or float for theta"  )

			if not isinstance(_A				,     _A  ) or accuracy <= 0:
						raise ValueError("maclaurin_cos() requires a positive int for accuracy"  )

			UpperCamelCase__					=       float(_A  )
			UpperCamelCase__					=       theta // (2 * pi)
			theta -= 2 * div * pi
			return sum((-1) ** r * theta ** (2 * r) / factorial(2 * r  ) for r in range(_A  )  )


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						print(maclaurin_sin(1_0))
						print(maclaurin_sin(-1_0))
						print(maclaurin_sin(1_0, 1_5))
						print(maclaurin_sin(-1_0, 1_5))

						print(maclaurin_cos(5))
						print(maclaurin_cos(-5))
						print(maclaurin_cos(1_0, 1_5))
						print(maclaurin_cos(-1_0, 1_5))






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"""






			_UpperCamelCase		:					List[str]    =		FlaxAutoencoderKL




			@property
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       4
						UpperCamelCase__					=       3
						UpperCamelCase__					=       (32, 32)

						UpperCamelCase__					=       jax.random.PRNGKey(0     )
						UpperCamelCase__					=       jax.random.uniform(snake_case      ,						((batch_size, num_channels) + sizes)     )

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







			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       {
						    "block_out_channels": [32, 64],
						    "in_channels": 3,
						    "out_channels": 3,
						    "down_block_types": ["DownEncoderBlock2D", "DownEncoderBlock2D"],
						    "up_block_types": ["UpDecoderBlock2D", "UpDecoderBlock2D"],
						    "latent_channels": 4,
						}
						UpperCamelCase__					=       self.dummy_input
						return init_dict, inputs_dict


