
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   UpperCamelCase_      (      unittest.TestCase		):







						'''simple docstring'''



						def        SCREAMING_SNAKE_CASE(			self							:Dict		,    lowerCAmelCase__							:List[str]		,    lowerCAmelCase__							:Any     )  ->List[Any]:
										return F'''gaussian_noise_s={seed}_shape={"_".join([str(lowerCAmelCase__     ) for s in shape]     )}.npy'''





						def        SCREAMING_SNAKE_CASE(			self							:List[str]     )  ->List[Any]:
										# clean up the VRAM after each test
										super().tearDown()
										gc.collect()





						def        SCREAMING_SNAKE_CASE(			self							:Optional[int]		,    lowerCAmelCase__							:List[str]=0		,    lowerCAmelCase__							:Optional[Any]=(4, 4, 64, 64)		,    lowerCAmelCase__							:Union[str, Any]=False     )  ->Any:
										lowercase         =      jnp.bfloataa if fpaa else jnp.floataa
										lowercase         =      jnp.array(load_hf_numpy(self.get_file_format(lowerCAmelCase__		,    lowerCAmelCase__     )     )		,    dtype=lowerCAmelCase__     )
										return image





						def        SCREAMING_SNAKE_CASE(			self							:Union[str, Any]		,    lowerCAmelCase__							:Union[str, Any]=False		,    lowerCAmelCase__							:Union[str, Any]="CompVis/stable-diffusion-v1-4"     )  ->List[str]:
										lowercase         =      jnp.bfloataa if fpaa else jnp.floataa
										lowercase         =      "bf16" if fpaa else None

										lowercase     ,	lowercase         =      FlaxUNetaDConditionModel.from_pretrained(
										    lowerCAmelCase__		,    subfolder="unet"		,    dtype=lowerCAmelCase__		,    revision=lowerCAmelCase__     )
										return model, params





						def        SCREAMING_SNAKE_CASE(			self							:Optional[int]		,    lowerCAmelCase__							:Tuple=0		,    lowerCAmelCase__							:Union[str, Any]=(4, 77, 768)		,    lowerCAmelCase__							:str=False     )  ->List[str]:
										lowercase         =      jnp.bfloataa if fpaa else jnp.floataa
										lowercase         =      jnp.array(load_hf_numpy(self.get_file_format(lowerCAmelCase__		,    lowerCAmelCase__     )     )		,    dtype=lowerCAmelCase__     )
										return hidden_states





						@parameterized.expand(
						    [
						        # fmt: off
						        [83, 4, [-0.23_23, -0.13_04, 0.08_13, -0.30_93, -0.09_19, -0.15_71, -0.11_25, -0.58_06]],
						        [17, 0.55, [-0.08_31, -0.24_43, 0.09_01, -0.09_19, 0.33_96, 0.01_03, -0.37_43, 0.07_01]],
						        [8, 0.89, [-0.48_63, 0.08_59, 0.08_75, -0.16_58, 0.91_99, -0.01_14, 0.48_39, 0.46_39]],
						        [3, 1000, [-0.56_49, 0.24_02, -0.55_18, 0.12_48, 1.13_28, -0.24_43, -0.03_25, -1.00_78]],
						        # fmt: on
						    ]     )
						def        SCREAMING_SNAKE_CASE(			self							:List[str]		,    lowerCAmelCase__							:Optional[int]		,    lowerCAmelCase__							:List[Any]		,    lowerCAmelCase__							:Tuple     )  ->str:
										lowercase     ,	lowercase         =      self.get_unet_model(model_id="CompVis/stable-diffusion-v1-4"		,    fpaa=lowerCAmelCase__     )
										lowercase         =      self.get_latents(lowerCAmelCase__		,    fpaa=lowerCAmelCase__     )
										lowercase         =      self.get_encoder_hidden_states(lowerCAmelCase__		,    fpaa=lowerCAmelCase__     )

										lowercase         =      model.apply(
										    {"params": params}		,    lowerCAmelCase__		,    jnp.array(lowerCAmelCase__		,    dtype=jnp.intaa     )		,    encoder_hidden_states=lowerCAmelCase__		,    ).sample

										assert sample.shape == latents.shape

										lowercase         =      jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())     )		,    dtype=jnp.floataa     )
										lowercase         =      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
						        [83, 4, [0.15_14, 0.08_07, 0.16_24, 0.10_16, -0.18_96, 0.02_63, 0.06_77, 0.23_10]],
						        [17, 0.55, [0.11_64, -0.02_16, 0.01_70, 0.15_89, -0.31_20, 0.10_05, -0.05_81, -0.14_58]],
						        [8, 0.89, [-0.17_58, -0.01_69, 0.10_04, -0.14_11, 0.13_12, 0.11_03, -0.19_96, 0.21_39]],
						        [3, 1000, [0.12_14, 0.03_52, -0.07_31, -0.15_62, -0.09_94, -0.09_06, -0.23_40, -0.05_39]],
						        # fmt: on
						    ]     )
						def        SCREAMING_SNAKE_CASE(			self							:List[Any]		,    lowerCAmelCase__							:Optional[int]		,    lowerCAmelCase__							:Dict		,    lowerCAmelCase__							:List[Any]     )  ->Tuple:
										lowercase     ,	lowercase         =      self.get_unet_model(model_id="stabilityai/stable-diffusion-2"		,    fpaa=lowerCAmelCase__     )
										lowercase         =      self.get_latents(lowerCAmelCase__		,    shape=(4, 4, 96, 96)		,    fpaa=lowerCAmelCase__     )
										lowercase         =      self.get_encoder_hidden_states(lowerCAmelCase__		,    shape=(4, 77, 1024)		,    fpaa=lowerCAmelCase__     )

										lowercase         =      model.apply(
										    {"params": params}		,    lowerCAmelCase__		,    jnp.array(lowerCAmelCase__		,    dtype=jnp.intaa     )		,    encoder_hidden_states=lowerCAmelCase__		,    ).sample

										assert sample.shape == latents.shape

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


def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				lowercase         =      set()
				# To detect a back edge, keep track of vertices currently in the recursion stack
				lowercase         =      set()
				return any(
				    node not in visited and depth_first_search(__magic_name__		,    __magic_name__		,    __magic_name__		,    __magic_name__						)
				    for node in graph						)

def  __snake_case							(	__magic_name__		,    __magic_name__		,    __magic_name__		,    __magic_name__						):







				'''simple docstring'''


				visited.add(__magic_name__						)
				rec_stk.add(__magic_name__						)

				for node in graph[vertex]:
								if node not in visited:
												if depth_first_search(__magic_name__		,    __magic_name__		,    __magic_name__		,    __magic_name__						):
																return True
								elif node in rec_stk:
												return True

    # The node needs to be removed from recursion stack before function ends
				rec_stk.remove(__magic_name__						)
				return False


if __name__ == "__main__":
						from doctest import testmod

						testmod()
