






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    _lowerCAmelCase			(		unittest.TestCase      ):



				"""simple docstring"""



				def 					__magic_name__							(      self    :    List[str]			,		UpperCamelCase__    :    int			,		UpperCamelCase__    :    int):






											'''simple docstring'''







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



				def 					__magic_name__							(      self    :    Dict):






											'''simple docstring'''







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



				def 					__magic_name__							(      self    :    Optional[Any]			,		UpperCamelCase__    :    List[str]=0			,		UpperCamelCase__    :    Tuple=(4, 4, 6_4, 6_4)			,		UpperCamelCase__    :    Union[str, Any]=False):






											'''simple docstring'''







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



				def 					__magic_name__							(      self    :    str			,		UpperCamelCase__    :    List[Any]=False			,		UpperCamelCase__    :    Optional[int]="CompVis/stable-diffusion-v1-4"):






											'''simple docstring'''







											snake_case__	  =       jnp.bfloataa if fpaa else jnp.floataa
											snake_case__	  =       """bf16""" if fpaa else None

											snake_case__  , snake_case__	  =       FlaxUNetaDConditionModel.from_pretrained(
											    UpperCamelCase__			,		subfolder="""unet"""			,		dtype=UpperCamelCase__			,		revision=UpperCamelCase__)
											return model, params



				def 					__magic_name__							(      self    :    Tuple			,		UpperCamelCase__    :    Union[str, Any]=0			,		UpperCamelCase__    :    List[str]=(4, 7_7, 7_6_8)			,		UpperCamelCase__    :    List[str]=False):






											'''simple docstring'''







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



				@parameterized.expand(
				    [
				        # fmt: off
				        [8_3, 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]],
				        [1_7, 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, 1_0_0_0, [-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 					__magic_name__							(      self    :    List[str]			,		UpperCamelCase__    :    Tuple			,		UpperCamelCase__    :    Optional[Any]			,		UpperCamelCase__    :    int):






											'''simple docstring'''







											snake_case__  , snake_case__	  =       self.get_unet_model(model_id="""CompVis/stable-diffusion-v1-4"""			,		fpaa=UpperCamelCase__)
											snake_case__	  =       self.get_latents(UpperCamelCase__			,		fpaa=UpperCamelCase__)
											snake_case__	  =       self.get_encoder_hidden_states(UpperCamelCase__			,		fpaa=UpperCamelCase__)

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

											assert sample.shape == latents.shape

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

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



				@parameterized.expand(
				    [
				        # fmt: off
				        [8_3, 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]],
				        [1_7, 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, 1_0_0_0, [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 					__magic_name__							(      self    :    Union[str, Any]			,		UpperCamelCase__    :    Dict			,		UpperCamelCase__    :    List[str]			,		UpperCamelCase__    :    Tuple):






											'''simple docstring'''







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

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

											assert sample.shape == latents.shape

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

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








import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout

def _UpperCAmelCase   (	a						:	List[Any] ):
							snake_case__	  =       FileLock(str(tmpdir / """foo.lock""" ) )
							snake_case__	  =       FileLock(str(tmpdir / """foo.lock""" ) )
							snake_case__	  =       0.01
							with locka.acquire():
														with pytest.raises(a ):
																					snake_case__	  =       time.time()
																					locka.acquire(a )
																					assert time.time() - _start > timeout



def _UpperCAmelCase   (	a						:	str ):
							snake_case__	  =       """a""" * 1000 + """.lock"""
							snake_case__	  =       FileLock(str(tmpdir / filename ) )
							assert locka._lock_file.endswith(""".lock""" )
							assert not locka._lock_file.endswith(a )
							assert len(os.path.basename(locka._lock_file ) ) <= 255
							snake_case__	  =       FileLock(tmpdir / filename )
							with locka.acquire():
														with pytest.raises(a ):
																					locka.acquire(0 )
