

import argparse
import datetime

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str			):



     '''simple docstring'''





     lowercase__    :   Optional[int]      =       {
         '0': 'Sunday',
         '1': 'Monday',
         '2': 'Tuesday',
         '3': 'Wednesday',
         '4': 'Thursday',
         '5': 'Friday',
         '6': 'Saturday',
     }

     lowercase__    :   List[str]      =       {0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 0}

     # Validate
     if not 0 < len(SCREAMING_SNAKE_CASE_			) < 11:
          raise ValueError('Must be 10 characters long'			)

     # Get month
     lowercase__    :   int      =       int(date_input[0] + date_input[1]			)
     # Validate
     if not 0 < m < 13:
          raise ValueError('Month must be between 1 - 12'			)

     lowercase__    :   str      =       date_input[2]
     # Validate
     if sep_a not in ["-", "/"]:
          raise ValueError('Date separator must be \'-\' or \'/\''			)

     # Get day
     lowercase__    :   int      =       int(date_input[3] + date_input[4]			)
     # Validate
     if not 0 < d < 32:
          raise ValueError('Date must be between 1 - 31'			)

     # Get second separator
     lowercase__    :   str      =       date_input[5]
     # Validate
     if sep_a not in ["-", "/"]:
          raise ValueError('Date separator must be \'-\' or \'/\''			)

     # Get year
     lowercase__    :   int      =       int(date_input[6] + date_input[7] + date_input[8] + date_input[9]			)
     # Arbitrary year range
     if not 45 < y < 8_500:
          raise ValueError(
              'Year out of range. There has to be some sort of limit...right?'			)

     # Get datetime obj for validation
     lowercase__    :   Optional[Any]      =       datetime.date(int(SCREAMING_SNAKE_CASE_			)	,     int(SCREAMING_SNAKE_CASE_			)	,     int(SCREAMING_SNAKE_CASE_			)			)

     # Start math
     if m <= 2:
          lowercase__    :   int      =       y - 1
          lowercase__    :   int      =       m + 12
     # maths var
     lowercase__    :   int      =       int(str(SCREAMING_SNAKE_CASE_			)[:2]			)
     lowercase__    :   int      =       int(str(SCREAMING_SNAKE_CASE_			)[2:]			)
     lowercase__    :   int      =       int(2.6 * m - 5.39			)
     lowercase__    :   int      =       int(c / 4			)
     lowercase__    :   int      =       int(k / 4			)
     lowercase__    :   int      =       int(d + k			)
     lowercase__    :   int      =       int(t + u + v + x			)
     lowercase__    :   int      =       int(z - (2 * c)			)
     lowercase__    :   int      =       round(w % 7			)
     # End math

     # Validate math
     if f != convert_datetime_days[dt_ck.weekday()]:
          raise AssertionError('The date was evaluated incorrectly. Contact developer.'			)

     # Response
     lowercase__    :   str      =       f"""Your date {date_input}, is a {days[str(SCREAMING_SNAKE_CASE_			)]}!"""
     return response


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       snake_case_			  = argparse.ArgumentParser(
           description=(
               '''Find out what day of the week nearly any date is or was. Enter '''
               '''date as a string in the mm-dd-yyyy or mm/dd/yyyy format'''
           )
       )
       parser.add_argument(
           '''date_input''', type=str, help='''Date as a string (mm-dd-yyyy or mm/dd/yyyy)'''
       )
       snake_case_			  = parser.parse_args()
       zeller(args.date_input)




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
       snake_case_			  = 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''')
       snake_case_  ,		snake_case_			  = 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''')
              snake_case_			  = rh.cluster(
                  name='''rh-cluster''', ips=[args.host], ssh_creds={'''ssh_user''': args.user, '''ssh_private_key''': args.key_path}
              )
       else:
              snake_case_			  = rh.cluster(
                  name='''rh-cluster''', instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
              )
       snake_case_			  = 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)

