





import gc
import unittest

from parameterized import parameterized

from diffusers import FlaxUNetaDConditionModel
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import load_hf_numpy, require_flax, slow


if is_flax_available():
			import jax
			import jax.numpy as jnp






@slow
@require_flax
class 					__A    (    unittest.TestCase ):

			'''simple docstring'''







			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase							):



				'''simple docstring'''







				return F'gaussian_noise_s={seed}_shape={"_".join([str(__lowerCAmelCase							) for s in shape]							)}.npy'





			def 		__lowerCamelCase				(    self							):



				'''simple docstring'''







				super().tearDown()
				gc.collect()





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase=0       ,  __lowerCAmelCase=(4, 4, 6_4, 6_4)       ,  __lowerCAmelCase=False							):



				'''simple docstring'''







				lowerCamelCase__								=		jnp.bfloataa if fpaa else jnp.floataa
				lowerCamelCase__								=		jnp.array(load_hf_numpy(self.get_file_format(__lowerCAmelCase       ,  __lowerCAmelCase							)							)       ,  dtype=__lowerCAmelCase							)
				return image





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase=False       ,  __lowerCAmelCase="CompVis/stable-diffusion-v1-4"							):



				'''simple docstring'''







				lowerCamelCase__								=		jnp.bfloataa if fpaa else jnp.floataa
				lowerCamelCase__								=		'''bf16''' if fpaa else None

				lowerCamelCase__				,	lowerCamelCase__								=		FlaxUNetaDConditionModel.from_pretrained(
				    __lowerCAmelCase       ,  subfolder='''unet'''       ,  dtype=__lowerCAmelCase       ,  revision=__lowerCAmelCase							)
				return model, params





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase=0       ,  __lowerCAmelCase=(4, 7_7, 7_6_8)       ,  __lowerCAmelCase=False							):



				'''simple docstring'''







				lowerCamelCase__								=		jnp.bfloataa if fpaa else jnp.floataa
				lowerCamelCase__								=		jnp.array(load_hf_numpy(self.get_file_format(__lowerCAmelCase       ,  __lowerCAmelCase							)							)       ,  dtype=__lowerCAmelCase							)
				return hidden_states





			@parameterized.expand(
			    [
			        # fmt: off
			        [8_3, 4, [-0.2323, -0.1304, 0.0813, -0.3093, -0.0919, -0.1571, -0.1125, -0.5806]],
			        [1_7, 0.55, [-0.0831, -0.2443, 0.0901, -0.0919, 0.3396, 0.0103, -0.3743, 0.0701]],
			        [8, 0.89, [-0.4863, 0.0859, 0.0875, -0.1658, 0.9199, -0.0114, 0.4839, 0.4639]],
			        [3, 1_0_0_0, [-0.5649, 0.2402, -0.5518, 0.1248, 1.1328, -0.2443, -0.0325, -1.0078]],
			        # fmt: on
			    ]							)
			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__				,	lowerCamelCase__								=		self.get_unet_model(model_id='''CompVis/stable-diffusion-v1-4'''       ,  fpaa=__lowerCAmelCase							)
				lowerCamelCase__								=		self.get_latents(__lowerCAmelCase       ,  fpaa=__lowerCAmelCase							)
				lowerCamelCase__								=		self.get_encoder_hidden_states(__lowerCAmelCase       ,  fpaa=__lowerCAmelCase							)

				lowerCamelCase__								=		model.apply(
				    {'''params''': params}       ,  __lowerCAmelCase       ,  jnp.array(__lowerCAmelCase       ,  dtype=jnp.intaa							)       ,  encoder_hidden_states=__lowerCAmelCase       ,  ).sample

				assert sample.shape == latents.shape

				lowerCamelCase__								=		jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())							)       ,  dtype=jnp.floataa							)
				lowerCamelCase__								=		jnp.array(__lowerCAmelCase       ,  dtype=jnp.floataa							)

				# Found torch (float16) and flax (bfloat16) outputs to be within this tolerance, in the same hardware
				assert jnp.allclose(__lowerCAmelCase       ,  __lowerCAmelCase       ,  atol=1E-2							)





			@parameterized.expand(
			    [
			        # fmt: off
			        [8_3, 4, [0.1514, 0.0807, 0.1624, 0.1016, -0.1896, 0.0263, 0.0677, 0.2310]],
			        [1_7, 0.55, [0.1164, -0.0216, 0.0170, 0.1589, -0.3120, 0.1005, -0.0581, -0.1458]],
			        [8, 0.89, [-0.1758, -0.0169, 0.1004, -0.1411, 0.1312, 0.1103, -0.1996, 0.2139]],
			        [3, 1_0_0_0, [0.1214, 0.0352, -0.0731, -0.1562, -0.0994, -0.0906, -0.2340, -0.0539]],
			        # fmt: on
			    ]							)
			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase       ,  __lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__				,	lowerCamelCase__								=		self.get_unet_model(model_id='''stabilityai/stable-diffusion-2'''       ,  fpaa=__lowerCAmelCase							)
				lowerCamelCase__								=		self.get_latents(__lowerCAmelCase       ,  shape=(4, 4, 9_6, 9_6)       ,  fpaa=__lowerCAmelCase							)
				lowerCamelCase__								=		self.get_encoder_hidden_states(__lowerCAmelCase       ,  shape=(4, 7_7, 1_0_2_4)       ,  fpaa=__lowerCAmelCase							)

				lowerCamelCase__								=		model.apply(
				    {'''params''': params}       ,  __lowerCAmelCase       ,  jnp.array(__lowerCAmelCase       ,  dtype=jnp.intaa							)       ,  encoder_hidden_states=__lowerCAmelCase       ,  ).sample

				assert sample.shape == latents.shape

				lowerCamelCase__								=		jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())							)       ,  dtype=jnp.floataa							)
				lowerCamelCase__								=		jnp.array(__lowerCAmelCase       ,  dtype=jnp.floataa							)

				# Found torch (float16) and flax (bfloat16) outputs to be within this tolerance, on the same hardware
				assert jnp.allclose(__lowerCAmelCase       ,  __lowerCAmelCase       ,  atol=1E-2							)










_a 						=      65_521





def lowerCAmelCase__(__snake_case							)				->      int:







	'''simple docstring'''







	lowerCamelCase__								=		1
	lowerCamelCase__								=		0
	for plain_chr in plain_text:
		lowerCamelCase__								=		(a + ord(__snake_case							)) % MOD_ADLER
		lowerCamelCase__								=		(b + a) % MOD_ADLER
	return (b << 16) | a



