



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    :						List[str]  =						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    :						List[str]  =						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    :						int  =						rh.cluster(
				    name='rh-cluster', ips=[args.host], ssh_creds={'ssh_user': args.user, 'ssh_private_key': args.key_path}
				)
		else:
				snake_case    :						Dict  =						rh.cluster(
				    name='rh-cluster', instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
				)
		snake_case    :						int  =						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 collections import Counter
from timeit import timeit
def 	snake_case__       (					__lowercase = ""							,     )		->		bool:







						"""simple docstring"""

						return sum(c % 2 for c in Counter(input_str.replace(" "							,     ""       ).lower()       ).values()       ) < 2
def 	snake_case__       (					__lowercase = ""       )		->		bool:







						"""simple docstring"""

						if len(__lowercase       ) == 0:
												return True
						A__	:							Any						    = input_str.replace(" "							,     ""       ).lower()
						# character_freq_dict: Stores the frequency of every character in the input string
						A__	:							dict[str, int]						    = {}

						for character in lower_case_input_str:
												A__	:							Optional[int]						    = character_freq_dict.get(__lowercase							,     0       ) + 1
						A__	:							List[Any]						    = 0

						for character_count in character_freq_dict.values():
												if character_count % 2:
																		odd_char += 1
						if odd_char > 1:
												return False
						return True
def 	snake_case__       (					__lowercase = ""       )		->		None:







						"""simple docstring"""

						print("\nFor string = "							,     __lowercase							,     ":"       )
						print(
						    "> can_string_be_rearranged_as_palindrome_counter()"							,     "\tans ="							,     can_string_be_rearranged_as_palindrome_counter(__lowercase       )							,     "\ttime ="							,     timeit(
						        "z.can_string_be_rearranged_as_palindrome_counter(z.check_str)"							,     setup="import __main__ as z"							,     )							,     "seconds"							,     )
						print(
						    "> can_string_be_rearranged_as_palindrome()"							,     "\tans ="							,     can_string_be_rearranged_as_palindrome(__lowercase       )							,     "\ttime ="							,     timeit(
						        "z.can_string_be_rearranged_as_palindrome(z.check_str)"							,     setup="import __main__ as z"							,     )							,     "seconds"							,     )


if __name__ == "__main__":
		snake_case    :						Dict  =						input(
		    'Enter string to determine if it can be rearranged as a palindrome or not: '
		).strip()
		benchmark(check_str)
		snake_case    :						Dict  =						can_string_be_rearranged_as_palindrome_counter(check_str)
		print(f"""{check_str} can {'' if status else 'not '}be rearranged as a palindrome""")