


from typing import Optional, Tuple

import jax
import jax.numpy as jnp
from flax import linen as nn
from flax.core.frozen_dict import FrozenDict
from transformers import CLIPConfig, FlaxPreTrainedModel
from transformers.models.clip.modeling_flax_clip import FlaxCLIPVisionModule






def 					UpperCamelCase   (      __magic_name__	:				List[str]       ,       __magic_name__	:				Optional[Any]       ,       __magic_name__	:				Any=1E-1_2	)  ->    str:
		"""simple docstring"""




		lowercase__	     =						jnp.divide(emb_a.T       ,       jnp.clip(jnp.linalg.norm(__magic_name__       ,       axis=1	)       ,       a_min=__magic_name__	)	).T
		lowercase__	     =						jnp.divide(emb_a.T       ,       jnp.clip(jnp.linalg.norm(__magic_name__       ,       axis=1	)       ,       a_min=__magic_name__	)	).T
		return jnp.matmul(__magic_name__       ,       norm_emb_a.T	)



class 				A       (			nn.Module				):
					'''simple docstring'''






					A__     =					42
					A__     =					jnp.floataa

					def     lowerCamelCase__	(self       :		Dict						)		->  Dict:




							"""simple docstring"""


							lowercase__	     =						FlaxCLIPVisionModule(self.config.vision_config						)
							lowercase__	     =						nn.Dense(self.config.projection_dim ,   use_bias=_UpperCAmelCase ,   dtype=self.dtype						)

							lowercase__	     =						self.param("""concept_embeds""" ,   jax.nn.initializers.ones ,   (17, self.config.projection_dim)						)
							lowercase__	     =						self.param(
							    """special_care_embeds""" ,   jax.nn.initializers.ones ,   (3, self.config.projection_dim)						)

							lowercase__	     =						self.param("""concept_embeds_weights""" ,   jax.nn.initializers.ones ,   (17,)						)
							lowercase__	     =						self.param("""special_care_embeds_weights""" ,   jax.nn.initializers.ones ,   (3,)						)


					def __call__(self       :		List[str] ,   _UpperCAmelCase       :		List[Any]						)		->  List[str]:




							"""simple docstring"""


							lowercase__	     =						self.vision_model(_UpperCAmelCase						)[1]
							lowercase__	     =						self.visual_projection(_UpperCAmelCase						)

							lowercase__	     =						jax_cosine_distance(_UpperCAmelCase ,   self.special_care_embeds						)
							lowercase__	     =						jax_cosine_distance(_UpperCAmelCase ,   self.concept_embeds						)

							# increase this value to create a stronger `nfsw` filter
							# at the cost of increasing the possibility of filtering benign image inputs
							lowercase__	     =						0.0

							lowercase__	     =						special_cos_dist - self.special_care_embeds_weights[None, :] + adjustment
							lowercase__	     =						jnp.round(_UpperCAmelCase ,   3						)
							lowercase__	     =						jnp.any(special_scores > 0 ,   axis=1 ,   keepdims=_UpperCAmelCase						)
							# Use a lower threshold if an image has any special care concept
							lowercase__	     =						is_special_care * 0.01

							lowercase__	     =						cos_dist - self.concept_embeds_weights[None, :] + special_adjustment
							lowercase__	     =						jnp.round(_UpperCAmelCase ,   3						)
							lowercase__	     =						jnp.any(concept_scores > 0 ,   axis=1						)

							return has_nsfw_concepts






class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					A__     =					CLIPConfig
					A__     =					'''clip_input'''
					A__     =					FlaxStableDiffusionSafetyCheckerModule

					def __init__(self       :		List[str] ,   _UpperCAmelCase       :		CLIPConfig ,   _UpperCAmelCase       :		Optional[Tuple] = None ,   _UpperCAmelCase       :		int = 0 ,   _UpperCAmelCase       :		jnp.dtype = jnp.floataa ,   _UpperCAmelCase       :		bool = True ,   **_UpperCAmelCase       :		str ,   )		->  Dict:




							"""simple docstring"""


							if input_shape is None:
									lowercase__	     =						(1, 224, 224, 3)
							lowercase__	     =						self.module_class(config=_UpperCAmelCase ,   dtype=_UpperCAmelCase ,   **_UpperCAmelCase						)
							super().__init__(_UpperCAmelCase ,   _UpperCAmelCase ,   input_shape=_UpperCAmelCase ,   seed=_UpperCAmelCase ,   dtype=_UpperCAmelCase ,   _do_init=_do_init						)

					def     lowerCamelCase__	(self       :		int ,   _UpperCAmelCase       :		jax.random.KeyArray ,   _UpperCAmelCase       :		Tuple ,   _UpperCAmelCase       :		FrozenDict = None						)		->  FrozenDict:




							"""simple docstring"""


							lowercase__	     =						jax.random.normal(_UpperCAmelCase ,   _UpperCAmelCase						)

							lowercase__     ,      lowercase__	     =						jax.random.split(_UpperCAmelCase						)
							lowercase__	     =						{"""params""": params_rng, """dropout""": dropout_rng}

							lowercase__	     =						self.module.init(_UpperCAmelCase ,   _UpperCAmelCase						)["""params"""]

							return random_params


					def __call__(self       :		Optional[Any] ,   _UpperCAmelCase       :		List[str] ,   _UpperCAmelCase       :		dict = None ,   )		->  Dict:




							"""simple docstring"""


							lowercase__	     =						jnp.transpose(_UpperCAmelCase ,   (0, 2, 3, 1)						)

							return self.module.apply(
							    {"""params""": params or self.params} ,   jnp.array(_UpperCAmelCase ,   dtype=jnp.floataa						) ,   rngs={} ,   )





import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links






def 					UpperCamelCase   (      __magic_name__	:				Dict       ,       __magic_name__	:				List[str]=7	)  ->    Dict:
		"""simple docstring"""




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

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

		lowercase__	     =						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}'''

		lowercase__	     =						requests.get(__magic_name__       ,       headers=__magic_name__	).json()

		return result["workflow_runs"]






def 					UpperCamelCase   (      __magic_name__	:				str	)  ->    Dict:
		"""simple docstring"""




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

		return workflow_run_id






def 					UpperCamelCase   (      __magic_name__	:				str       ,       __magic_name__	:				List[Any]       ,       __magic_name__	:				Dict	)  ->    str:
		"""simple docstring"""




		lowercase__	     =						get_last_daily_ci_runs(__magic_name__	)
		if workflow_run_id is not None:
				lowercase__	     =						get_artifacts_links(worflow_run_id=__magic_name__       ,       token=__magic_name__	)
				for artifact_name in artifact_names:
						if artifact_name in artifacts_links:
								lowercase__	     =						artifacts_links[artifact_name]
								download_artifact(
								    artifact_name=__magic_name__       ,       artifact_url=__magic_name__       ,       output_dir=__magic_name__       ,       token=__magic_name__	)







def 					UpperCamelCase   (      __magic_name__	:				List[str]       ,       __magic_name__	:				str       ,       __magic_name__	:				Union[str, Any]	)  ->    Tuple:
		"""simple docstring"""




		get_last_daily_ci_artifacts(__magic_name__       ,       __magic_name__       ,       __magic_name__	)

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

		return results

