

import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp

def  lowerCamelCase__ (					):
	SCREAMING_SNAKE_CASE   :      Optional[int]				     =       ArgumentParser(
	    description=(
	        "PyTorch TPU distributed training launch "
	        "helper utility that will spawn up "
	        "multiple distributed processes"
	    ))

	# Optional arguments for the launch helper
	parser.add_argument("--num_cores"							,			type=_a							,			default=1							,			help="Number of TPU cores to use (1 or 8).")

	# positional
	parser.add_argument(
	    "training_script"							,			type=_a							,			help=(
	        "The full path to the single TPU training "
	        "program/script to be launched in parallel, "
	        "followed by all the arguments for the "
	        "training script"
	    )							,			)

	# rest from the training program
	parser.add_argument("training_script_args"							,			nargs=_a)

	return parser.parse_args()

def  lowerCamelCase__ (					):
	SCREAMING_SNAKE_CASE   :      Optional[int]				     =       parse_args()

	# Import training_script as a module.
	SCREAMING_SNAKE_CASE   :      List[Any]				     =       Path(args.training_script)
	sys.path.append(str(script_fpath.parent.resolve()))
	SCREAMING_SNAKE_CASE   :      Tuple				     =       script_fpath.stem
	SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       importlib.import_module(_a)

	# Patch sys.argv
	SCREAMING_SNAKE_CASE   :      str				     =       [args.training_script] + args.training_script_args + ["--tpu_num_cores", str(args.num_cores)]
	xmp.spawn(mod._mp_fn							,			args=()							,			nprocs=args.num_cores)


if __name__ == "__main__":
			main()


import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property






@unittest.skipUnless(os.path.exists(__A   )							,	'Tatoeba directory does not exist.'   )
class _UpperCamelCase							(							unittest.TestCase   ):
			'''simple docstring'''







			@cached_property
			def 							__UpperCamelCase (			self							: Any	)							->       str:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       tempfile.mkdtemp()
				return TatoebaConverter(save_dir=a	)
			@slow
			def 							__UpperCamelCase (			self							: List[Any]	)							->       int:

				"""simple docstring"""

				self.resolver.convert_models(["heb-eng"]	)






			@slow
			def 							__UpperCamelCase (			self							: Optional[int]	)							->       Dict:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE     ,SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       self.resolver.write_model_card("opus-mt-he-en"      ,      dry_run=a	)
				assert mmeta["long_pair"] == "heb-eng"