




from __future__ import annotations

_UpperCAmelCase	:						int			=     tuple[int, int, int]
_UpperCAmelCase	:						Dict			=     tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
_UpperCAmelCase	:						Any			=     "ABCDEFGHIJKLMNOPQRSTUVWXYZ"

# -------------------------- default selection --------------------------
# rotors --------------------------
_UpperCAmelCase	:						Tuple			=     "EGZWVONAHDCLFQMSIPJBYUKXTR"
_UpperCAmelCase	:						int			=     "FOBHMDKEXQNRAULPGSJVTYICZW"
_UpperCAmelCase	:						Dict			=     "ZJXESIUQLHAVRMDOYGTNFWPBKC"
# reflector --------------------------
_UpperCAmelCase	:						Union[str, Any]			=     {
    "A": "N",
    "N": "A",
    "B": "O",
    "O": "B",
    "C": "P",
    "P": "C",
    "D": "Q",
    "Q": "D",
    "E": "R",
    "R": "E",
    "F": "S",
    "S": "F",
    "G": "T",
    "T": "G",
    "H": "U",
    "U": "H",
    "I": "V",
    "V": "I",
    "J": "W",
    "W": "J",
    "K": "X",
    "X": "K",
    "L": "Y",
    "Y": "L",
    "M": "Z",
    "Z": "M",
}

# -------------------------- extra rotors --------------------------
_UpperCAmelCase	:						Dict			=     "RMDJXFUWGISLHVTCQNKYPBEZOA"
_UpperCAmelCase	:						str			=     "SGLCPQWZHKXAREONTFBVIYJUDM"
_UpperCAmelCase	:						List[Any]			=     "HVSICLTYKQUBXDWAJZOMFGPREN"
_UpperCAmelCase	:						List[Any]			=     "RZWQHFMVDBKICJLNTUXAGYPSOE"
_UpperCAmelCase	:						List[str]			=     "LFKIJODBEGAMQPXVUHYSTCZRWN"
_UpperCAmelCase	:						Dict			=     "KOAEGVDHXPQZMLFTYWJNBRCIUS"



def       UpperCAmelCase__  (     lowerCamelCase,			lowerCamelCase,			lowerCamelCase   ):
  # Checks if there are 3 unique rotors

  if (unique_rotsel := len(set(lowerCamelCase   )   )) < 3:
    lowercase    :Optional[int]      	=						F"Please use 3 unique rotors (not {unique_rotsel})"
    raise Exception(lowerCamelCase   )

  # Checks if rotor positions are valid
  lowercase	,    lowercase	,    lowercase    :Any      	=						rotpos
  if not 0 < rotorposa <= len(lowerCamelCase   ):
    lowercase    :Any      	=						F"First rotor position is not within range of 1..26 ({rotorposa}"
    raise ValueError(lowerCamelCase   )
  if not 0 < rotorposa <= len(lowerCamelCase   ):
    lowercase    :List[Any]      	=						F"Second rotor position is not within range of 1..26 ({rotorposa})"
    raise ValueError(lowerCamelCase   )
  if not 0 < rotorposa <= len(lowerCamelCase   ):
    lowercase    :int      	=						F"Third rotor position is not within range of 1..26 ({rotorposa})"
    raise ValueError(lowerCamelCase   )

  # Validates string and returns dict
  lowercase    :Any      	=						_plugboard(lowerCamelCase   )

  return rotpos, rotsel, pbdict



def       UpperCAmelCase__  (     lowerCamelCase   ):

  # tests the input string if it
  # a) is type string
  # b) has even length (so pairs can be made)
  if not isinstance(lowerCamelCase,			lowerCamelCase   ):
    lowercase    :Optional[int]      	=						F"Plugboard setting isn't type string ({type(lowerCamelCase   )})"
    raise TypeError(lowerCamelCase   )
  elif len(lowerCamelCase   ) % 2 != 0:
    lowercase    :Tuple      	=						F"Odd number of symbols ({len(lowerCamelCase   )})"
    raise Exception(lowerCamelCase   )
  elif pbstring == "":
    return {}

  pbstring.replace(" ",			""   )

  # Checks if all characters are unique
  lowercase    :Union[str, Any]      	=						set()
  for i in pbstring:
    if i not in abc:
      lowercase    :Optional[int]      	=						F"'{i}' not in list of symbols"
      raise Exception(lowerCamelCase   )
    elif i in tmppbl:
      lowercase    :List[Any]      	=						F"Duplicate symbol ({i})"
      raise Exception(lowerCamelCase   )
    else:
      tmppbl.add(lowerCamelCase   )
  del tmppbl

  # Created the dictionary
  lowercase    :Tuple      	=						{}
  for j in range(0,			len(lowerCamelCase   ) - 1,			2   ):
    lowercase    :List[Any]      	=						pbstring[j + 1]
    lowercase    :str      	=						pbstring[j]

  return pb



def       UpperCAmelCase__  (     lowerCamelCase,			lowerCamelCase,			lowerCamelCase = (rotora, rotora, rotora),			lowerCamelCase = "",			):
  lowercase    :int      	=						text.upper()
  lowercase	,    lowercase	,    lowercase    :List[Any]      	=						_validator(
      lowerCamelCase,			lowerCamelCase,			plugb.upper()   )

  lowercase	,    lowercase	,    lowercase    :str      	=						rotor_position
  lowercase	,    lowercase	,    lowercase    :int      	=						rotor_selection
  rotorposa -= 1
  rotorposa -= 1
  rotorposa -= 1

  lowercase    :Union[str, Any]      	=						[]

  # encryption/decryption process --------------------------
  for symbol in text:
    if symbol in abc:
      # 1st plugboard --------------------------
      if symbol in plugboard:
        lowercase    :Tuple      	=						plugboard[symbol]

      # rotor ra --------------------------
      lowercase    :List[Any]      	=						abc.index(lowerCamelCase   ) + rotorposa
      lowercase    :Dict      	=						rotora[index % len(lowerCamelCase   )]

      # rotor rb --------------------------
      lowercase    :List[Any]      	=						abc.index(lowerCamelCase   ) + rotorposa
      lowercase    :Any      	=						rotora[index % len(lowerCamelCase   )]

      # rotor rc --------------------------
      lowercase    :Dict      	=						abc.index(lowerCamelCase   ) + rotorposa
      lowercase    :Any      	=						rotora[index % len(lowerCamelCase   )]

      # reflector --------------------------
      # this is the reason you don't need another machine to decipher

      lowercase    :List[Any]      	=						reflector[symbol]

      # 2nd rotors
      lowercase    :Tuple      	=						abc[rotora.index(lowerCamelCase   ) - rotorposa]
      lowercase    :str      	=						abc[rotora.index(lowerCamelCase   ) - rotorposa]
      lowercase    :Optional[Any]      	=						abc[rotora.index(lowerCamelCase   ) - rotorposa]

      # 2nd plugboard
      if symbol in plugboard:
        lowercase    :Union[str, Any]      	=						plugboard[symbol]

      # moves/resets rotor positions
      rotorposa += 1
      if rotorposa >= len(lowerCamelCase   ):
        lowercase    :int      	=						0
        rotorposa += 1
      if rotorposa >= len(lowerCamelCase   ):
        lowercase    :Tuple      	=						0
        rotorposa += 1
      if rotorposa >= len(lowerCamelCase   ):
        lowercase    :List[Any]      	=						0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
    result.append(lowerCamelCase   )

  return "".join(lowerCamelCase   )


if __name__ == "__main__":
     _UpperCAmelCase	:						Union[str, Any]			=     "This is my Python script that emulates the Enigma machine from WWII."
     _UpperCAmelCase	:						Tuple			=     (1, 1, 1)
     _UpperCAmelCase	:						Optional[Any]			=     "pictures"
     _UpperCAmelCase	:						str			=     (rotora, rotora, rotora)
     _UpperCAmelCase	:						List[str]			=     enigma(message, rotor_pos, rotor_sel, pb)

     print("Encrypted message:", en)
     print("Decrypted message:", enigma(en, rotor_pos, rotor_sel, pb))









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



