





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
					A    :					List[str] =      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''')
					A,	A    :					Optional[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''')
										A    :					Optional[Any] =      rh.cluster(
										    name='''rh-cluster''', ips=[args.host], ssh_creds={'''ssh_user''': args.user, '''ssh_private_key''': args.key_path}
										)
					else:
										A    :					Optional[int] =      rh.cluster(
										    name='''rh-cluster''', instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
										)
					A    :					Optional[Any] =      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)










def    __lowerCamelCase					(							__a   :str    )		->				list:






		"""simple docstring"""

		A__        =   [0] * len(__a    )

		for i in range(1    ,     len(__a    )    ):
				# use last results for better performance - dynamic programming
				A__        =   prefix_result[i - 1]
				while j > 0 and input_string[i] != input_string[j]:
						A__        =   prefix_result[j - 1]

				if input_string[i] == input_string[j]:
						j += 1
				A__        =   j

		return prefix_result







def    __lowerCamelCase					(							__a   :str    )		->				int:






		"""simple docstring"""

		return max(prefix_function(__a    )    )


if __name__ == "__main__":
					import doctest

					doctest.testmod()



