"""simple docstring"""




def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       str	)       ->      bool:
  _lowerCAmelCase						:       Dict  			=     [int(_lowerCamelCase	) for i in ip_va_address.split("""."""	) if i.isdigit()]
  return len(_lowerCamelCase	) == 4 and all(0 <= int(_lowerCamelCase	) <= 254 for octet in octets	)


if __name__ == "__main__":
     _a      :		Tuple           =   input().strip()
     _a      :		Optional[int]           =   'valid' if is_ip_va_address_valid(ip) else 'invalid'
     print(F"""{ip} is a {valid_or_invalid} IP v4 address.""")





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(UpperCAmelCase_     )		,				'Tatoeba directory does not exist.'     )
class      A							(				unittest.TestCase     ):


   @cached_property
   def 			lowercase_      (self     :						Optional[int]		)						->				List[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  tempfile.mkdtemp()
         return TatoebaConverter(save_dir=__UpperCAmelCase		)


   @slow
   def 			lowercase_      (self     :						List[Any]		)						->				Optional[int]:
         """simple docstring"""



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





   @slow
   def 			lowercase_      (self     :						Dict		)						->				List[str]:
         """simple docstring"""



         UpperCAmelCase__		,      UpperCAmelCase__								=  self.resolver.write_model_card("opus-mt-he-en"       ,  dry_run=__UpperCAmelCase		)
         assert mmeta["long_pair"] == "heb-eng"



