





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


__a  :					Optional[Any]          =  logging.getLogger(__name__)





def     UpperCAmelCase						(   ):







				"""simple docstring"""



				__lowercase			      =							ArgumentParser()
				__lowercase      ,					__lowercase			      =							parser.parse_known_args()
				for arg in unknown:
								if arg.startswith(('''-''', '''--''')							):
												parser.add_argument(arg.split('''='''							)[0]							)

				return parser.parse_args()





def     UpperCAmelCase						(   ):







				"""simple docstring"""



				__lowercase			      =							parse_args()
				__lowercase			      =							8888
				__lowercase			      =							int(os.environ['''SM_NUM_GPUS''']							)
				__lowercase			      =							json.loads(os.environ['''SM_HOSTS''']							)
				__lowercase			      =							len(lowercase							)
				__lowercase			      =							os.environ['''SM_CURRENT_HOST''']
				__lowercase			      =							hosts.index(lowercase							)
				__lowercase			      =							'''INFO'''

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


if __name__ == "__main__":
		main()
import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


__a  :					int          =  5_0_0_0_0_0

__a   ,						__a  :					Any          =  os.path.split(__file__)
__a  :					Dict          =  os.path.join(RESULTS_BASEPATH, """results""", RESULTS_FILENAME.replace(""".py""", """.json"""))





@get_duration
def     UpperCAmelCase						(   lowercase							):







				"""simple docstring"""



				__lowercase			      =							dataset.select(range(0							,      len(lowercase							)							,      2							)							)





@get_duration
def     UpperCAmelCase						(   lowercase							):







				"""simple docstring"""



				__lowercase			      =							dataset.sort('''numbers'''							)





@get_duration
def     UpperCAmelCase						(   lowercase							):







				"""simple docstring"""



				__lowercase			      =							dataset.shuffle()





@get_duration
def     UpperCAmelCase						(   lowercase							):







				"""simple docstring"""



				__lowercase			      =							dataset.train_test_split(0.1							)





@get_duration
def     UpperCAmelCase						(   lowercase							,      lowercase=10							):







				"""simple docstring"""



				for shard_id in range(lowercase							):
								__lowercase			      =							dataset.shard(lowercase							,      lowercase							)





def     UpperCAmelCase						(   ):







				"""simple docstring"""



				__lowercase			      =							{'''num examples''': SPEED_TEST_N_EXAMPLES}
				__lowercase			      =							(select, sort, shuffle, train_test_split, shard)
				with tempfile.TemporaryDirectory() as tmp_dir:
								print('''generating dataset'''							)
								__lowercase			      =							datasets.Features({'''text''': datasets.Value('''string'''							), '''numbers''': datasets.Value('''float32'''							)}							)
								__lowercase			      =							generate_example_dataset(
								    os.path.join(lowercase							,      '''dataset.arrow'''							)							,      lowercase							,      num_examples=lowercase							)
								print('''Functions'''							)
								for func in functions:
												print(func.__name__							)
												__lowercase			      =							func(lowercase							)

				with open(lowercase							,      '''wb'''							) as f:
								f.write(json.dumps(lowercase							).encode('''utf-8'''							)							)


if __name__ == "__main__":  # useful to run the profiler
		benchmark_indices_mapping()