



def 		UpperCamelCase     (       snake_case__	:   str     )     ->					List[Any]:
   UpperCamelCase   :  List[str]						     =     0

   # if input_string is "aba" than new_input_string become "a|b|a"
   UpperCamelCase   :  List[str]						     =     ''
   UpperCamelCase   :  List[Any]						     =     ''

   # append each character + "|" in new_string for range(0, length-1)
   for i in input_string[: len(a__     ) - 1]:
      new_input_string += i + "|"
   # append last character
   new_input_string += input_string[-1]

   # we will store the starting and ending of previous furthest ending palindromic
   # substring
   UpperCamelCase     ,					UpperCamelCase   :  Optional[int]						     =     0, 0

   # length[i] shows the length of palindromic substring with center i
   UpperCamelCase   :  Dict						     =     [1 for i in range(len(a__     )     )]

   # for each character in new_string find corresponding palindromic string
   UpperCamelCase   :  Optional[Any]						     =     0
   for j in range(len(a__     )     ):
      UpperCamelCase   :  Union[str, Any]						     =     1 if j > r else min(length[l + r - j] // 2	,					r - j + 1     )
      while (
          j - k >= 0
          and j + k < len(a__     )
          and new_input_string[k + j] == new_input_string[j - k]
      ):
         k += 1

      UpperCamelCase   :  List[Any]						     =     2 * k - 1

      # does this string is ending after the previously explored end (that is r) ?
      # if yes the update the new r to the last index of this
      if j + k - 1 > r:
         UpperCamelCase   :  Dict						     =     j - k + 1  # noqa: E741
         UpperCamelCase   :  Optional[Any]						     =     j + k - 1

      # update max_length and start position
      if max_length < length[j]:
         UpperCamelCase   :  Any						     =     length[j]
         UpperCamelCase   :  int						     =     j

    # create that string
   UpperCamelCase   :  Optional[Any]						     =     new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
   for i in s:
      if i != "|":
         output_string += i

   return output_string


if __name__ == "__main__":
    import doctest

    doctest.testmod()








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)



