






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













from itertools import permutations







def      snake_case		(							UpperCAmelCase	:       tuple   ):
				if num[3] % 2 != 0:
								return False

				if (num[2] + num[3] + num[4]) % 3 != 0:
								return False

				if num[5] % 5 != 0:
								return False

				A	 =      [7, 11, 13, 17]
				for i, test in enumerate(UpperCAmelCase   ):
								if (num[i + 4] * 1_00 + num[i + 5] * 10 + num[i + 6]) % test != 0:
												return False
				return True







def      snake_case		(							UpperCAmelCase	:       int = 10   ):
				return sum(
				    int(''.join(map(UpperCAmelCase,						UpperCAmelCase   )   )   )
				    for num in permutations(range(UpperCAmelCase   )   )
				    if is_substring_divisible(UpperCAmelCase   )   )


if __name__ == "__main__":
					print(f'''{solution() = }''')





