



"""simple docstring"""







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):



			def 				__lowercase					(			self							:				Union[str, Any]   ,	_lowercase							:				Optional[int]   ,	_lowercase							:				Tuple		)							->					Dict:
									return F'''gaussian_noise_s={seed}_shape={"_".join([str(_lowercase		) for s in shape]		)}.npy'''



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



			def 				__lowercase					(			self							:				Union[str, Any]   ,	_lowercase							:				List[str]=0   ,	_lowercase							:				int=(4, 4, 64, 64)   ,	_lowercase							:				Dict=False		)							->					Union[str, Any]:
									snake_case   :			Tuple						    = jnp.bfloataa if fpaa else jnp.floataa
									snake_case   :			Union[str, Any]						    = jnp.array(load_hf_numpy(self.get_file_format(_lowercase   ,	_lowercase		)		)   ,	dtype=_lowercase		)
									return image



			def 				__lowercase					(			self							:				Any   ,	_lowercase							:				List[str]=False   ,	_lowercase							:				Optional[int]="CompVis/stable-diffusion-v1-4"		)							->					str:
									snake_case   :			str						    = jnp.bfloataa if fpaa else jnp.floataa
									snake_case   :			Dict						    = "bf16" if fpaa else None

									snake_case    ,			snake_case   :			List[Any]						    = FlaxUNetaDConditionModel.from_pretrained(
									    _lowercase   ,	subfolder="unet"   ,	dtype=_lowercase   ,	revision=_lowercase		)
									return model, params



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



			@parameterized.expand(
			    [
			        # fmt: off
			        [83, 4, [-0.2323, -0.1304, 0.0813, -0.3093, -0.0919, -0.1571, -0.1125, -0.5806]],
			        [17, 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, 1000, [-0.5649, 0.2402, -0.5518, 0.1248, 1.1328, -0.2443, -0.0325, -1.0078]],
			        # fmt: on
			    ]		)
			def 				__lowercase					(			self							:				Tuple   ,	_lowercase							:				Optional[int]   ,	_lowercase							:				str   ,	_lowercase							:				Optional[Any]		)							->					Dict:
									snake_case    ,			snake_case   :			int						    = self.get_unet_model(model_id="CompVis/stable-diffusion-v1-4"   ,	fpaa=_lowercase		)
									snake_case   :			Union[str, Any]						    = self.get_latents(_lowercase   ,	fpaa=_lowercase		)
									snake_case   :			int						    = self.get_encoder_hidden_states(_lowercase   ,	fpaa=_lowercase		)

									snake_case   :			Tuple						    = model.apply(
									    {"params": params}   ,	_lowercase   ,	jnp.array(_lowercase   ,	dtype=jnp.intaa		)   ,	encoder_hidden_states=_lowercase   ,	).sample

									assert sample.shape == latents.shape

									snake_case   :			Optional[Any]						    = jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())		)   ,	dtype=jnp.floataa		)
									snake_case   :			Any						    = jnp.array(_lowercase   ,	dtype=jnp.floataa		)

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



			@parameterized.expand(
			    [
			        # fmt: off
			        [83, 4, [0.1514, 0.0807, 0.1624, 0.1016, -0.1896, 0.0263, 0.0677, 0.2310]],
			        [17, 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, 1000, [0.1214, 0.0352, -0.0731, -0.1562, -0.0994, -0.0906, -0.2340, -0.0539]],
			        # fmt: on
			    ]		)
			def 				__lowercase					(			self							:				List[Any]   ,	_lowercase							:				List[str]   ,	_lowercase							:				Any   ,	_lowercase							:				Dict		)							->					Optional[Any]:
									snake_case    ,			snake_case   :			Union[str, Any]						    = self.get_unet_model(model_id="stabilityai/stable-diffusion-2"   ,	fpaa=_lowercase		)
									snake_case   :			Union[str, Any]						    = self.get_latents(_lowercase   ,	shape=(4, 4, 96, 96)   ,	fpaa=_lowercase		)
									snake_case   :			str						    = self.get_encoder_hidden_states(_lowercase   ,	shape=(4, 77, 1024)   ,	fpaa=_lowercase		)

									snake_case   :			Tuple						    = model.apply(
									    {"params": params}   ,	_lowercase   ,	jnp.array(_lowercase   ,	dtype=jnp.intaa		)   ,	encoder_hidden_states=_lowercase   ,	).sample

									assert sample.shape == latents.shape

									snake_case   :			Optional[int]						    = jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())		)   ,	dtype=jnp.floataa		)
									snake_case   :			int						    = jnp.array(_lowercase   ,	dtype=jnp.floataa		)

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








"""simple docstring"""







import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


A		=						importlib.util.find_spec('s3fs') is not None

if _has_safs:
			from .safilesystem import SaFileSystem  # noqa: F401

A		=						[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
			if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
						warnings.warn(F'''A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.''')
			fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							str ):
						"""simple docstring"""






						if "://" in dataset_path:
												snake_case   :			List[str]						    = dataset_path.split("://" )[1]
						return dataset_path

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							fsspec.AbstractFileSystem ):
						"""simple docstring"""






						if fs is not None and fs.protocol != "file":
												return True
						else:
												return False

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							fsspec.AbstractFileSystem     ,		lowerCamelCase_:							str     ,		lowerCamelCase_:							str ):
						"""simple docstring"""






						snake_case   :			int						    = not is_remote_filesystem(lowerCamelCase_ )
						if is_local:
												# LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
												shutil.move(fs._strip_protocol(lowerCamelCase_ )     ,		fs._strip_protocol(lowerCamelCase_ ) )
						else:
												fs.mv(lowerCamelCase_     ,		lowerCamelCase_     ,		recursive=lowerCamelCase_ )

def  __SCREAMING_SNAKE_CASE		(			):
						"""simple docstring"""






						if hasattr(fsspec.asyn     ,		"reset_lock" ):
												# for future fsspec>2022.05.0
												fsspec.asyn.reset_lock()
						else:
												snake_case   :			Union[str, Any]						    = None
												snake_case   :			Optional[int]						    = None
												snake_case   :			List[str]						    = threading.Lock()



