




from .stack import Stack







def       _a (		SCREAMING_SNAKE_CASE_				:							str	):
					__lowerCAmelCase							  =			Stack()
					__lowerCAmelCase							  =			{"(": ")", "[": "]", "{": "}"}
					for bracket in parentheses:
										if bracket in bracket_pairs:
															stack.push(SCREAMING_SNAKE_CASE_	)
										elif bracket in (")", "]", "}"):
															if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
																				return False
					return stack.is_empty()


if __name__ == "__main__":
					from doctest import testmod

					testmod()

					UpperCamelCase__            =     ["""((()))""", """((())""", """(()))"""]
					print("""Balanced parentheses demonstration:\n""")
					for example in examples:
										UpperCamelCase__            =     """""" if balanced_parentheses(example) else """not """
										print(f'''{example} is {not_str}balanced''')










import json
import logging
import os
import subprocess
from argparse import ArgumentParser


UpperCamelCase__            =     logging.getLogger(__name__)







def       _a (		):
					__lowerCAmelCase							  =			ArgumentParser()
					__lowerCAmelCase  ,				__lowerCAmelCase							  =			parser.parse_known_args()
					for arg in unknown:
										if arg.startswith(("-", "--")	):
															parser.add_argument(arg.split("="	)[0]	)

					return parser.parse_args()







def       _a (		):
					__lowerCAmelCase							  =			parse_args()
					__lowerCAmelCase							  =			88_88
					__lowerCAmelCase							  =			int(os.environ["SM_NUM_GPUS"]	)
					__lowerCAmelCase							  =			json.loads(os.environ["SM_HOSTS"]	)
					__lowerCAmelCase							  =			len(SCREAMING_SNAKE_CASE_	)
					__lowerCAmelCase							  =			os.environ["SM_CURRENT_HOST"]
					__lowerCAmelCase							  =			hosts.index(SCREAMING_SNAKE_CASE_	)
					__lowerCAmelCase							  =			"INFO"

					if num_nodes > 1:
										__lowerCAmelCase							  =			F"""python -m torch.distributed.launch \
                --nnodes={num_nodes}  \
                --node_rank={rank}  \
                --nproc_per_node={num_gpus}  \
                --master_addr={hosts[0]}  \
                --master_port={port} \
                ./run_glue.py \
                {''.join(['nested fstring' for parameter,value in args.__dict__.items()]	)}"""
					else:
										__lowerCAmelCase							  =			F"""python -m torch.distributed.launch \
            --nproc_per_node={num_gpus}  \
            ./run_glue.py \
            {''.join(['nested fstring' for parameter,value in args.__dict__.items()]	)}"""
					try:
										subprocess.run(SCREAMING_SNAKE_CASE_ , shell=SCREAMING_SNAKE_CASE_	)
					except Exception as e:
										logger.info(SCREAMING_SNAKE_CASE_	)


if __name__ == "__main__":
					main()




