



import gc
import unittest

from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
						import jax
						import jax.numpy as jnp
						from flax.jax_utils import replicate
						from flax.training.common_utils import shard
@slow
@require_flax
class      UpperCamelCase    (						unittest.TestCase     ):



	def 			__A							(       self		):
							# clean up the VRAM after each test
							super().tearDown()
							gc.collect()



	def 			__A							(       self		):
							A__							=       load_image(
							    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
							    "/sd2-inpaint/init_image.png"		)
							A__							=       load_image(
							    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png"		)

							A__							=       '''xvjiarui/stable-diffusion-2-inpainting'''
							A__							=       FlaxStableDiffusionInpaintPipeline.from_pretrained(UpperCAmelCase__			,	safety_checker=UpperCAmelCase__		)

							A__							=       '''Face of a yellow cat, high resolution, sitting on a park bench'''

							A__							=       jax.random.PRNGKey(0		)
							A__							=       50

							A__							=       jax.device_count()
							A__							=       num_samples * [prompt]
							A__							=       num_samples * [init_image]
							A__							=       num_samples * [mask_image]
							A__							=       pipeline.prepare_inputs(UpperCAmelCase__			,	UpperCAmelCase__			,	UpperCAmelCase__		)

							# shard inputs and rng
							A__							=       replicate(UpperCAmelCase__		)
							A__							=       jax.random.split(UpperCAmelCase__			,	jax.device_count()		)
							A__							=       shard(UpperCAmelCase__		)
							A__							=       shard(UpperCAmelCase__		)
							A__							=       shard(UpperCAmelCase__		)

							A__							=       pipeline(
							    UpperCAmelCase__			,	UpperCAmelCase__			,	UpperCAmelCase__			,	UpperCAmelCase__			,	UpperCAmelCase__			,	UpperCAmelCase__			,	jit=UpperCAmelCase__		)

							A__							=       output.images.reshape(UpperCAmelCase__			,	512			,	512			,	3		)

							A__							=       images[0, 253:256, 253:256, -1]

							A__							=       jnp.asarray(jax.device_get(image_slice.flatten()		)		)
							A__							=       jnp.array(
							    [0.3_611_307, 0.37_649_736, 0.3_757_408, 0.38_213_953, 0.39_295_167, 0.3_841_631, 0.41_554_978, 0.4_137_475, 0.4_217_084]		)
							print(F"""output_slice: {output_slice}"""		)
							assert jnp.abs(output_slice - expected_slice		).max() < 1e-2










import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links
def  UpperCamelCase						(       _A			:				List[Any]			,							_A			:				List[str]=7    )->       Optional[Any]:





						"""simple docstring"""





						A__							=       None
						if token is not None:
												A__							=       {"Accept": "application/vnd.github+json", "Authorization": f"""Bearer {token}"""}

						# The id of a workflow (not of a workflow run)
						A__							=       "636036"

						A__							=       f"""https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs"""
						# On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
						url += f"""?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}"""

						A__							=       requests.get(_A			,							headers=_A    ).json()

						return result["workflow_runs"]
def  UpperCamelCase						(       _A			:				str    )->       Dict:





						"""simple docstring"""





						A__							=       get_daily_ci_runs(_A    )
						A__							=       None
						for workflow_run in workflow_runs:
												if workflow_run["status"] == "completed":
																		A__							=       workflow_run["id"]
																		break

						return workflow_run_id
def  UpperCamelCase						(       _A			:				int			,							_A			:				List[str]			,							_A			:				str    )->       Any:





						"""simple docstring"""





						A__							=       get_last_daily_ci_runs(_A    )
						if workflow_run_id is not None:
												A__							=       get_artifacts_links(worflow_run_id=_A			,							token=_A    )
												for artifact_name in artifact_names:
																		if artifact_name in artifacts_links:
																								A__							=       artifacts_links[artifact_name]
																								download_artifact(
																								    artifact_name=_A			,							artifact_url=_A			,							output_dir=_A			,							token=_A    )
def  UpperCamelCase						(       _A			:				Optional[Any]			,							_A			:				Any			,							_A			:				List[Any]    )->       Optional[int]:





						"""simple docstring"""





						get_last_daily_ci_artifacts(_A			,							_A			,							_A    )

						A__							=       {}
						for artifact_name in artifact_names:
												A__							=       os.path.join(_A			,							f"""{artifact_name}.zip"""    )
												if os.path.isfile(_A    ):
																		A__							=       {}
																		with zipfile.ZipFile(_A    ) as z:
																								for filename in z.namelist():
																														if not os.path.isdir(_A    ):
																																				# read the file
																																				with z.open(_A    ) as f:
																																										A__							=       f.read().decode("UTF-8"    )

						return results





