




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






from __future__ import annotations



def 		lowerCAmelCase__     (       UpperCamelCase_					:							dict			,							UpperCamelCase_					:							str						)->	set[str]:
    A__			,						A__					=       set(UpperCamelCase_						), [start]

    while stack:
        A__					=       stack.pop()
        explored.add(UpperCamelCase_						)
        # Differences from BFS:
        # 1) pop last element instead of first one
        # 2) add adjacent elements to stack without exploring them
        for adj in reversed(graph[v]						):
            if adj not in explored:
                stack.append(UpperCamelCase_						)
    return explored


_lowercase    	=		{
    "A": ["B", "C", "D"],
    "B": ["A", "D", "E"],
    "C": ["A", "F"],
    "D": ["B", "D"],
    "E": ["B", "F"],
    "F": ["C", "E", "G"],
    "G": ["F"],
}

if __name__ == "__main__":
   import doctest

   doctest.testmod()
   print(depth_first_search(G, "A"))
