



"""simple docstring"""







import unittest

import numpy as np
import torch

from diffusers import PNDMPipeline, PNDMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device


enable_full_determinism()

class       _a  ( unittest.TestCase):



			@property
			def 				__lowercase					(			self							:				int		)							->					Optional[Any]:
									torch.manual_seed(0		)
									snake_case   :			int						    = UNetaDModel(
									    block_out_channels=(32, 64)   ,	layers_per_block=2   ,	sample_size=32   ,	in_channels=3   ,	out_channels=3   ,	down_block_types=("DownBlock2D", "AttnDownBlock2D")   ,	up_block_types=("AttnUpBlock2D", "UpBlock2D")   ,	)
									return model



			def 				__lowercase					(			self							:				List[str]		)							->					Tuple:
									snake_case   :			int						    = self.dummy_uncond_unet
									snake_case   :			Tuple						    = PNDMScheduler()

									snake_case   :			int						    = PNDMPipeline(unet=_lowercase   ,	scheduler=_lowercase		)
									pndm.to(_lowercase		)
									pndm.set_progress_bar_config(disable=_lowercase		)

									snake_case   :			List[str]						    = torch.manual_seed(0		)
									snake_case   :			Tuple						    = pndm(generator=_lowercase   ,	num_inference_steps=20   ,	output_type="numpy"		).images

									snake_case   :			Union[str, Any]						    = torch.manual_seed(0		)
									snake_case   :			Union[str, Any]						    = pndm(generator=_lowercase   ,	num_inference_steps=20   ,	output_type="numpy"   ,	return_dict=_lowercase		)[0]

									snake_case   :			Optional[int]						    = image[0, -3:, -3:, -1]
									snake_case   :			List[Any]						    = image_from_tuple[0, -3:, -3:, -1]

									assert image.shape == (1, 32, 32, 3)
									snake_case   :			Any						    = np.array([1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0]		)

									assert np.abs(image_slice.flatten() - expected_slice		).max() < 1E-2
									assert np.abs(image_from_tuple_slice.flatten() - expected_slice		).max() < 1E-2



@slow
@require_torch
class       _a  ( unittest.TestCase):



			def 				__lowercase					(			self							:				Dict		)							->					int:
									snake_case   :			Union[str, Any]						    = "google/ddpm-cifar10-32"

									snake_case   :			List[Any]						    = UNetaDModel.from_pretrained(_lowercase		)
									snake_case   :			Tuple						    = PNDMScheduler()

									snake_case   :			int						    = PNDMPipeline(unet=_lowercase   ,	scheduler=_lowercase		)
									pndm.to(_lowercase		)
									pndm.set_progress_bar_config(disable=_lowercase		)
									snake_case   :			str						    = torch.manual_seed(0		)
									snake_case   :			Dict						    = pndm(generator=_lowercase   ,	output_type="numpy"		).images

									snake_case   :			int						    = image[0, -3:, -3:, -1]

									assert image.shape == (1, 32, 32, 3)
									snake_case   :			List[Any]						    = np.array([0.1564, 0.14645, 0.1406, 0.14715, 0.12425, 0.14045, 0.13115, 0.12175, 0.125]		)

									assert np.abs(image_slice.flatten() - expected_slice		).max() < 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()



