





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_           =	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_       ,     UpperCAmelCase_           =	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_           =	rh.cluster(
          name="rh-cluster", ips=[args.host], ssh_creds={"ssh_user": args.user, "ssh_private_key": args.key_path}
      )
   else:
      UpperCAmelCase_           =	rh.cluster(
          name="rh-cluster", instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
      )
   UpperCAmelCase_           =	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      A__       (    SCREAMING_SNAKE_CASE_   :      int						)  ->  bool:






   """simple docstring"""







   _UpperCAmelCase           =   str(SCREAMING_SNAKE_CASE_						)
   return len(SCREAMING_SNAKE_CASE_						) == 9 and set(SCREAMING_SNAKE_CASE_						) == set('''123456789'''						)
def      A__       (    )  ->  int | None:






   """simple docstring"""







   for base_num in range(99_99				,	49_99				,	-1						):
      _UpperCAmelCase           =   10_00_02 * base_num
      if is_9_pandigital(SCREAMING_SNAKE_CASE_						):
         return candidate

   for base_num in range(3_33				,	99				,	-1						):
      _UpperCAmelCase           =   1_00_20_03 * base_num
      if is_9_pandigital(SCREAMING_SNAKE_CASE_						):
         return candidate

   return None


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