




'''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       			= 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       			= 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 pathlib import Path

import fire


def 			UpperCamelCase(  __UpperCamelCase							:		str     ,__UpperCamelCase							:		str     ,__UpperCamelCase							:		int ):
		lowerCAmelCase_			:     List[str]									= Path(__UpperCamelCase )
		lowerCAmelCase_			:     Union[str, Any]									= Path(__UpperCamelCase )
		dest_dir.mkdir(exist_ok=__UpperCamelCase )
		for path in src_dir.iterdir():
				lowerCAmelCase_			:     Optional[Any]									= [x.rstrip() for x in list(path.open().readlines() )][:n]
				lowerCAmelCase_			:     List[str]									= dest_dir.joinpath(path.name )
				print(__UpperCamelCase )
				dest_path.open('''w''' ).write('''\n'''.join(__UpperCamelCase ) )


if __name__ == "__main__":
						fire.Fire(minify)





