"""simple docstring"""

import importlib
import inspect
from functools import wraps
from typing import TYPE_CHECKING, Optional, Union

from .download.streaming_download_manager import (
    xbasename,
    xdirname,
    xet_parse,
    xexists,
    xgetsize,
    xglob,
    xgzip_open,
    xisdir,
    xisfile,
    xjoin,
    xlistdir,
    xnumpy_load,
    xopen,
    xpandas_read_csv,
    xpandas_read_excel,
    xPath,
    xrelpath,
    xsio_loadmat,
    xsplit,
    xsplitext,
    xwalk,
    xxml_dom_minidom_parse,
)
from .utils.logging import get_logger
from .utils.patching import patch_submodule
from .utils.py_utils import get_imports


__lowercase    =				get_logger(__name__)


if TYPE_CHECKING:
				from .builder import DatasetBuilder


def    lowerCAmelCase			(__UpperCamelCase							:    List[Any]							,					__UpperCamelCase							:    Optional[Union[str, bool]] = None			):
							"""simple docstring"""


							__UpperCamelCase							=importlib.import_module(__UpperCamelCase			)

							# TODO(QL): always update the module to add subsequent new authentication
							if hasattr(__UpperCamelCase							,					'''_patched_for_streaming'''			) and module._patched_for_streaming:
														return

							def wrap_auth(__UpperCamelCase							:    Optional[Any]			):
														@wraps(__UpperCamelCase			)
														def wrapper(*__UpperCamelCase							:    str							,					**__UpperCamelCase							:    Optional[Any]			):
																					return function(*__UpperCamelCase							,					use_auth_token=__UpperCamelCase							,					**__UpperCamelCase			)

														__UpperCamelCase							='''wrap_auth'''
														return wrapper

							# open files in a streaming fashion
							patch_submodule(__UpperCamelCase							,					'''open'''							,					wrap_auth(__UpperCamelCase			)			).start()
							patch_submodule(__UpperCamelCase							,					'''os.listdir'''							,					wrap_auth(__UpperCamelCase			)			).start()
							patch_submodule(__UpperCamelCase							,					'''os.walk'''							,					wrap_auth(__UpperCamelCase			)			).start()
							patch_submodule(__UpperCamelCase							,					'''glob.glob'''							,					wrap_auth(__UpperCamelCase			)			).start()
							# allow to navigate in remote zip files
							patch_submodule(__UpperCamelCase							,					'''os.path.join'''							,					__UpperCamelCase			).start()
							patch_submodule(__UpperCamelCase							,					'''os.path.dirname'''							,					__UpperCamelCase			).start()
							patch_submodule(__UpperCamelCase							,					'''os.path.basename'''							,					__UpperCamelCase			).start()
							patch_submodule(__UpperCamelCase							,					'''os.path.relpath'''							,					__UpperCamelCase			).start()
							patch_submodule(__UpperCamelCase							,					'''os.path.split'''							,					__UpperCamelCase			).start()
							patch_submodule(__UpperCamelCase							,					'''os.path.splitext'''							,					__UpperCamelCase			).start()
							# allow checks on paths
							patch_submodule(__UpperCamelCase							,					'''os.path.exists'''							,					wrap_auth(__UpperCamelCase			)			).start()
							patch_submodule(__UpperCamelCase							,					'''os.path.isdir'''							,					wrap_auth(__UpperCamelCase			)			).start()
							patch_submodule(__UpperCamelCase							,					'''os.path.isfile'''							,					wrap_auth(__UpperCamelCase			)			).start()
							patch_submodule(__UpperCamelCase							,					'''os.path.getsize'''							,					wrap_auth(__UpperCamelCase			)			).start()
							patch_submodule(__UpperCamelCase							,					'''pathlib.Path'''							,					__UpperCamelCase			).start()
							# file readers
							patch_submodule(__UpperCamelCase							,					'''gzip.open'''							,					wrap_auth(__UpperCamelCase			)			).start()
							patch_submodule(__UpperCamelCase							,					'''numpy.load'''							,					wrap_auth(__UpperCamelCase			)			).start()
							patch_submodule(__UpperCamelCase							,					'''pandas.read_csv'''							,					wrap_auth(__UpperCamelCase			)							,					attrs=['''__version__''']			).start()
							patch_submodule(__UpperCamelCase							,					'''pandas.read_excel'''							,					wrap_auth(__UpperCamelCase			)							,					attrs=['''__version__''']			).start()
							patch_submodule(__UpperCamelCase							,					'''scipy.io.loadmat'''							,					wrap_auth(__UpperCamelCase			)							,					attrs=['''__version__''']			).start()
							patch_submodule(__UpperCamelCase							,					'''xml.etree.ElementTree.parse'''							,					wrap_auth(__UpperCamelCase			)			).start()
							patch_submodule(__UpperCamelCase							,					'''xml.dom.minidom.parse'''							,					wrap_auth(__UpperCamelCase			)			).start()
							__UpperCamelCase							=True






def    lowerCAmelCase			(__UpperCamelCase							:    "DatasetBuilder"			):
							"""simple docstring"""


							extend_module_for_streaming(builder.__module__							,					use_auth_token=builder.use_auth_token			)
							# if needed, we also have to extend additional internal imports (like wmt14 -> wmt_utils)
							if not builder.__module__.startswith('''datasets.'''			):  # check that it's not a packaged builder like csv
														for imports in get_imports(inspect.getfile(builder.__class__			)			):
																					if imports[0] == "internal":
																												__UpperCamelCase							=imports[1]
																												__UpperCamelCase							='''.'''.join(builder.__module__.split('''.'''			)[:-1] + [internal_import_name]			)
																												extend_module_for_streaming(__UpperCamelCase							,					use_auth_token=builder.use_auth_token			)

    # builders can inherit from other builders that might use streaming functionality
    # (for example, ImageFolder and AudioFolder inherit from FolderBuilder which implements examples generation)
    # but these parents builders are not patched automatically as they are not instantiated, so we patch them here
							from .builder import DatasetBuilder

							__UpperCamelCase							=[
							    cls.__module__
							    for cls in type(__UpperCamelCase			).__mro__[1:]  # make sure it's not the same module we've already patched
							    if issubclass(cls							,					__UpperCamelCase			) and cls.__module__ != DatasetBuilder.__module__
							]  # check it's not a standard builder from datasets.builder
							for module in parent_builder_modules:
														extend_module_for_streaming(__UpperCamelCase							,					use_auth_token=builder.use_auth_token			)




"""simple docstring"""

import gc
import tempfile
import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionDualGuidedPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device


__lowercase    =				False






@nightly
@require_torch_gpu
class 		_lowercase (						unittest.TestCase      ):



						"""simple docstring"""




						def   UpperCAmelCase_ (				self							:    List[str]				)				->				List[Any]:
													'''simple docstring'''



													super().tearDown()
													gc.collect()
													torch.cuda.empty_cache()





						def   UpperCAmelCase_ (				self							:    List[Any]				)				->				List[Any]:
													'''simple docstring'''



													__UpperCamelCase							=VersatileDiffusionDualGuidedPipeline.from_pretrained('''shi-labs/versatile-diffusion'''				)
													# remove text_unet
													pipe.remove_unused_weights()
													pipe.to(UpperCamelCase__				)
													pipe.set_progress_bar_config(disable=UpperCamelCase__				)

													__UpperCamelCase							=load_image(
													    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'''				)

													__UpperCamelCase							=torch.manual_seed(0				)
													__UpperCamelCase							=pipe(
													    prompt='''first prompt'''     , image=UpperCamelCase__     , text_to_image_strength=0.75     , generator=UpperCamelCase__     , guidance_scale=7.5     , num_inference_steps=2     , output_type='''numpy'''     , ).images

													with tempfile.TemporaryDirectory() as tmpdirname:
																				pipe.save_pretrained(UpperCamelCase__				)
																				__UpperCamelCase							=VersatileDiffusionDualGuidedPipeline.from_pretrained(UpperCamelCase__				)

													pipe.to(UpperCamelCase__				)
													pipe.set_progress_bar_config(disable=UpperCamelCase__				)

													__UpperCamelCase							=generator.manual_seed(0				)
													__UpperCamelCase							=pipe(
													    prompt='''first prompt'''     , image=UpperCamelCase__     , text_to_image_strength=0.75     , generator=UpperCamelCase__     , guidance_scale=7.5     , num_inference_steps=2     , output_type='''numpy'''     , ).images

													assert np.abs(image - new_image				).sum() < 1E-5, "Models don't have the same forward pass"





						def   UpperCAmelCase_ (				self							:    Optional[int]				)				->				Optional[int]:
													'''simple docstring'''



													__UpperCamelCase							=VersatileDiffusionDualGuidedPipeline.from_pretrained('''shi-labs/versatile-diffusion'''				)
													pipe.remove_unused_weights()
													pipe.to(UpperCamelCase__				)
													pipe.set_progress_bar_config(disable=UpperCamelCase__				)

													__UpperCamelCase							='''cyberpunk 2077'''
													__UpperCamelCase							=load_image(
													    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'''				)
													__UpperCamelCase							=torch.manual_seed(0				)
													__UpperCamelCase							=pipe(
													    prompt=UpperCamelCase__     , image=UpperCamelCase__     , text_to_image_strength=0.75     , generator=UpperCamelCase__     , guidance_scale=7.5     , num_inference_steps=50     , output_type='''numpy'''     , ).images

													__UpperCamelCase							=image[0, 253:256, 253:256, -1]

													assert image.shape == (1, 512, 512, 3)
													__UpperCamelCase							=np.array([0.07_87, 0.08_49, 0.08_26, 0.08_12, 0.08_07, 0.07_95, 0.08_18, 0.07_98, 0.07_79]				)

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



