
import math
import sys


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      UpperCamelCase__    :   List[str]					=				''''''
      try:
            with open(UpperCamelCase__ ,		'''rb'''		) as binary_file:
                  UpperCamelCase__    :   List[str]					=				binary_file.read()
            for dat in data:
                  UpperCamelCase__    :   List[Any]					=				f'''{dat:08b}'''
                  result += curr_byte
            return result
      except OSError:
            print('''File not accessible'''		)
            sys.exit()


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      UpperCamelCase__    :   Any					=				{'''0''': '''0''', '''1''': '''1'''}
      UpperCamelCase__				,UpperCamelCase__    :   Optional[int]					=				'''''', ''''''
      UpperCamelCase__    :   List[Any]					=				len(UpperCamelCase__		)

      for i in range(len(UpperCamelCase__		)		):
            curr_string += data_bits[i]
            if curr_string not in lexicon:
                  continue

            UpperCamelCase__    :   Dict					=				lexicon[curr_string]
            result += last_match_id
            UpperCamelCase__    :   Any					=				last_match_id + '''0'''

            if math.loga(UpperCamelCase__		).is_integer():
                  UpperCamelCase__    :   Dict					=				{}
                  for curr_key in list(UpperCamelCase__		):
                        UpperCamelCase__    :   List[str]					=				lexicon.pop(UpperCamelCase__		)
                  UpperCamelCase__    :   Dict					=				new_lex

            UpperCamelCase__    :   Dict					=				last_match_id + '''1'''
            index += 1
            UpperCamelCase__    :   Dict					=				''''''
      return result


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ ,		UpperCamelCase__		):
      UpperCamelCase__    :   Union[str, Any]					=				8
      try:
            with open(UpperCamelCase__ ,		'''wb'''		) as opened_file:
                  UpperCamelCase__    :   Any					=				[
                      to_write[i : i + byte_length]
                      for i in range(0 ,		len(UpperCamelCase__		) ,		UpperCamelCase__		)
                  ]

                  if len(result_byte_array[-1]		) % byte_length == 0:
                        result_byte_array.append('''10000000'''		)
                  else:
                        result_byte_array[-1] += "1" + "0" * (
                            byte_length - len(result_byte_array[-1]		) - 1
                        )

                  for elem in result_byte_array[:-1]:
                        opened_file.write(int(UpperCamelCase__ ,		2		).to_bytes(1 ,		byteorder='''big'''		)		)
      except OSError:
            print('''File not accessible'''		)
            sys.exit()


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      UpperCamelCase__    :   Optional[Any]					=				0
      for letter in data_bits:
            if letter == "1":
                  break
            counter += 1

      UpperCamelCase__    :   Tuple					=				data_bits[counter:]
      UpperCamelCase__    :   Optional[Any]					=				data_bits[counter + 1 :]
      return data_bits


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ ,		UpperCamelCase__		):
      UpperCamelCase__    :   Optional[int]					=				read_file_binary(UpperCamelCase__		)
      UpperCamelCase__    :   Optional[Any]					=				remove_prefix(UpperCamelCase__		)
      UpperCamelCase__    :   Dict					=				decompress_data(UpperCamelCase__		)
      write_file_binary(UpperCamelCase__ ,		UpperCamelCase__		)


if __name__ == "__main__":
    compress(sys.argv[1], sys.argv[2])




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)


