



'''simple docstring'''




import argparse
import shlex

import runhouse as rh


if __name__ == "__main__":
						# Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
						# setup instructions, if using on-demand hardware

						# If user passes --user <user> --host <host> --key_path <key_path> <example> <args>, fill them in as BYO cluster
						# If user passes --instance <instance> --provider <provider> <example> <args>, fill them in as on-demand cluster
						# Throw an error if user passes both BYO and on-demand cluster args
						# Otherwise, use default values
						UpperCamelCase__       :	List[Any]    = argparse.ArgumentParser()
						parser.add_argument('''--user''', type=str, default='''ubuntu''')
						parser.add_argument('''--host''', type=str, default='''localhost''')
						parser.add_argument('''--key_path''', type=str, default=None)
						parser.add_argument('''--instance''', type=str, default='''V100:1''')
						parser.add_argument('''--provider''', type=str, default='''cheapest''')
						parser.add_argument('''--use_spot''', type=bool, default=False)
						parser.add_argument('''--example''', type=str, default='''pytorch/text-generation/run_generation.py''')
						UpperCamelCase__       :	List[Any]    = parser.parse_known_args()
						if args.host != "localhost":
												if args.instance != "V100:1" or args.provider != "cheapest":
																		raise ValueError('''Cannot specify both BYO and on-demand cluster args''')
												UpperCamelCase__       :	List[str]    = rh.cluster(
												    name='''rh-cluster''', ips=[args.host], ssh_creds={'''ssh_user''': args.user, '''ssh_private_key''': args.key_path}
												)
						else:
												UpperCamelCase__       :	Optional[int]    = rh.cluster(
												    name='''rh-cluster''', instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
												)
						UpperCamelCase__       :	Optional[int]    = args.example.rsplit('''/''', 1)[0]

						# Set up remote environment
						cluster.install_packages(['''pip:./'''])  # Installs transformers from local source
						# Note transformers is copied into the home directory on the remote machine, so we can install from there
						cluster.run([f"pip install -r transformers/examples/{example_dir}/requirements.txt"])
						cluster.run(['''pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu117'''])

						# Run example. You can bypass the CLI wrapper and paste your own code here.
						cluster.run([f"python transformers/examples/{args.example} {' '.join(shlex.quote(arg) for arg in unknown)}"])

						# Alternatively, we can just import and run a training function (especially if there's no wrapper CLI):
						# from my_script... import train
						# reqs = ['pip:./', 'torch', 'datasets', 'accelerate', 'evaluate', 'tqdm', 'scipy', 'scikit-learn', 'tensorboard']
						# launch_train_gpu = rh.function(fn=train,
						#                                system=gpu,
						#                                reqs=reqs,
						#                                name='train_bert_glue')
						#
						# We can pass in arguments just like we would to a function:
						# launch_train_gpu(num_epochs = 3, lr = 2e-5, seed = 42, batch_size = 16
						#                  stream_logs=True)



'''simple docstring'''






def 				UpperCamelCase_			(    A__					:   str							,    A__					:   list[str]					):
  '''simple docstring'''





  lowerCAmelCase_			:      Dict			=   """"""
  for word_or_phrase in separated:
    if not isinstance(A__							,    A__					):
      raise Exception("""join() accepts only strings to be joined"""					)
    joined += word_or_phrase + separator
  return joined.strip(A__					)


if __name__ == "__main__":
  from doctest import testmod

  testmod()



