



import shutil

import requests


def 						UpperCAmelCase__   (   UpperCAmelCase__			:str			,       UpperCAmelCase__			:bool = False			,       UpperCAmelCase__			:str = "."       ):






 '''simple docstring'''

 a							=		"https://api.nasa.gov/planetary/apod"
 return requests.get(UpperCAmelCase__			,       params={"api_key": api_key}       ).json()


def 						UpperCAmelCase__   (   UpperCAmelCase__			:str			,       UpperCAmelCase__			:str = "."       ):






 '''simple docstring'''

 a							=		get_apod_data(UpperCAmelCase__       )
 a							=		apod_data["url"]
 a							=		img_url.split("/"       )[-1]
 a							=		requests.get(UpperCAmelCase__			,       stream=UpperCAmelCase__       )

 with open(F"""{path}/{img_name}"""			,       "wb+"       ) as img_file:
  shutil.copyfileobj(response.raw			,       UpperCAmelCase__       )
 del response
 return apod_data


def 						UpperCAmelCase__   (   UpperCAmelCase__			:str       ):






 '''simple docstring'''

 a							=		"https://images-api.nasa.gov/search"
 return requests.get(UpperCAmelCase__			,       params={"q": query}       ).json()


if __name__ == "__main__":
     print(save_apod('''YOUR API KEY'''))
     A_		:  List[str]										=  get_archive_data('''apollo 2011''')['''collection''']['''items''']
     print(apollo_aaaa_items[0]['''data'''][0]['''description'''])



import torch

from accelerate import Accelerator, DistributedType







class 							lowercase						:




							def __enter__(							self):
												if self.enabled:
																	lowercase		      =		self.model.no_sync()
																	self.model_sync_obj.__enter__()

												return self




							def __exit__(							self  ,A__  ,A__  ,A__):
												if self.enabled:
																	# Average all models on exit
																	self._sync_and_avg_model_params()
																	self.model_sync_obj.__exit__(A__  ,A__  ,A__)




							def __init__(							self  ,A__  ,A__  ,A__  ,A__ = True):
												if accelerator.distributed_type not in [
												    DistributedType.NO,
												    DistributedType.MULTI_CPU,
												    DistributedType.MULTI_GPU,
												]:
																	raise NotImplementedError('''LocalSGD is supported only for CPUs and GPUs (no DeepSpeed or MegatronLM)''')
												lowercase		      =		enabled and accelerator.distributed_type != DistributedType.NO
												lowercase		      =		0
												if self.enabled:
																	lowercase		      =		accelerator
																	lowercase		      =		model
																	lowercase		      =		local_sgd_steps




							def 					A__ (							self):
												self.num_steps += 1
												if not self.enabled:
																	return

												if self.num_steps % self.local_sgd_steps == 0:
																	self._sync_and_avg_model_params()





							def 					A__ (							self):
												self.accelerator.wait_for_everyone()
												with self.accelerator.autocast():
																	for param in self.model.parameters():
																						lowercase		      =		self.accelerator.reduce(param.data  ,reduction='''mean''')




