

'''simple docstring'''





import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links






def 				_lowerCAmelCase			(   __magic_name__						:     Any   , __magic_name__						:     Tuple=7						)				->  List[Any]:
						lowercase :							str    		=None
						if token is not None:
												lowercase :							List[str]    		={'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'''Bearer {token}'''}

						# The id of a workflow (not of a workflow run)
						lowercase :							Optional[int]    		='''636036'''

						lowercase :							Union[str, Any]    		=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 :							Optional[int]    		=requests.get(__magic_name__   , headers=__magic_name__						).json()

						return result["workflow_runs"]






def 				_lowerCAmelCase			(   __magic_name__						:     Optional[int]						)				->  Optional[Any]:
						lowercase :							Dict    		=get_daily_ci_runs(__magic_name__						)
						lowercase :							Optional[Any]    		=None
						for workflow_run in workflow_runs:
												if workflow_run["status"] == "completed":
																		lowercase :							Tuple    		=workflow_run['''id''']
																		break

						return workflow_run_id






def 				_lowerCAmelCase			(   __magic_name__						:     Optional[Any]   , __magic_name__						:     Any   , __magic_name__						:     int						)				->  Tuple:
						lowercase :							Tuple    		=get_last_daily_ci_runs(__magic_name__						)
						if workflow_run_id is not None:
												lowercase :							str    		=get_artifacts_links(worflow_run_id=__magic_name__   , token=__magic_name__						)
												for artifact_name in artifact_names:
																		if artifact_name in artifacts_links:
																								lowercase :							int    		=artifacts_links[artifact_name]
																								download_artifact(
																								    artifact_name=__magic_name__   , artifact_url=__magic_name__   , output_dir=__magic_name__   , token=__magic_name__						)







def 				_lowerCAmelCase			(   __magic_name__						:     Optional[int]   , __magic_name__						:     Optional[Any]   , __magic_name__						:     Optional[int]						)				->  int:
						get_last_daily_ci_artifacts(__magic_name__   , __magic_name__   , __magic_name__						)

						lowercase :							List[str]    		={}
						for artifact_name in artifact_names:
												lowercase :							Any    		=os.path.join(__magic_name__   , f'''{artifact_name}.zip'''						)
												if os.path.isfile(__magic_name__						):
																		lowercase :							List[Any]    		={}
																		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 :							List[str]    		=f.read().decode('''UTF-8'''						)

						return results








'''simple docstring'''





import math

import flax.linen as nn
import jax.numpy as jnp






def 				_lowerCAmelCase			(   __magic_name__						:     jnp.ndarray   , __magic_name__						:     int   , __magic_name__						:     float = 1   , __magic_name__						:     float = 1   , __magic_name__						:     float = 1.0E4   , __magic_name__						:     bool = False   , __magic_name__						:     float = 1.0   , )				->  jnp.ndarray:
						assert timesteps.ndim == 1, "Timesteps should be a 1d-array"
						assert embedding_dim % 2 == 0, f'''Embedding dimension {embedding_dim} should be even'''
						lowercase :							int    		=float(embedding_dim // 2						)
						lowercase :							Optional[int]    		=math.log(max_timescale / min_timescale						) / (num_timescales - freq_shift)
						lowercase :							Any    		=min_timescale * jnp.exp(jnp.arange(__magic_name__   , dtype=jnp.floataa						) * -log_timescale_increment						)
						lowercase :							List[Any]    		=jnp.expand_dims(__magic_name__   , 1						) * jnp.expand_dims(__magic_name__   , 0						)

						# scale embeddings
						lowercase :							Tuple    		=scale * emb

						if flip_sin_to_cos:
												lowercase :							Dict    		=jnp.concatenate([jnp.cos(__magic_name__						), jnp.sin(__magic_name__						)]   , axis=1						)
						else:
												lowercase :							Any    		=jnp.concatenate([jnp.sin(__magic_name__						), jnp.cos(__magic_name__						)]   , axis=1						)
						lowercase :							List[str]    		=jnp.reshape(__magic_name__   , [jnp.shape(__magic_name__						)[0], embedding_dim]						)
						return signal





class 		__SCREAMING_SNAKE_CASE							(			nn.Module      ):
				lowerCamelCase_		       =    32
				lowerCamelCase_		       =    jnp.floataa







				@nn.compact
				def __call__(       self     :		Tuple		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										lowercase :							List[Any]    		=nn.Dense(self.time_embed_dim		,					dtype=self.dtype		,					name='''linear_1'''   )(UpperCAmelCase__   )
										lowercase :							Any    		=nn.silu(UpperCAmelCase__   )
										lowercase :							int    		=nn.Dense(self.time_embed_dim		,					dtype=self.dtype		,					name='''linear_2'''   )(UpperCAmelCase__   )
										return temb





class 		__SCREAMING_SNAKE_CASE							(			nn.Module      ):
				lowerCamelCase_		       =    32
				lowerCamelCase_		       =    False
				lowerCamelCase_		       =    1







				@nn.compact
				def __call__(       self     :		int		,					UpperCAmelCase__     :		str   ):
										'''simple docstring'''
										return get_sinusoidal_embeddings(
										    UpperCAmelCase__		,					embedding_dim=self.dim		,					flip_sin_to_cos=self.flip_sin_to_cos		,					freq_shift=self.freq_shift   )





