"""simple docstring"""






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        UpperCAmelCase		(unittest.TestCase    ):



    """simple docstring"""

    @cached_property
    def _snake_case     (  self				):
       lowercase__:  Optional[Any]   = tempfile.mkdtemp()
       return TatoebaConverter(save_dir=A_				)






    @slow
    def _snake_case     (  self				):
       self.resolver.convert_models(['''heb-eng''']				)






    @slow
    def _snake_case     (  self				):
       lowercase__:  Any   = self.resolver.write_model_card('''opus-mt-he-en'''       ,     dry_run=A_				)
       assert mmeta["long_pair"] == "heb-eng"




SCREAMING_SNAKE_CASE__					:     dict[str, float]       =     {
    "joule": 1.0,
    "kilojoule": 1_000,
    "megajoule": 1_000_000,
    "gigajoule": 1_000_000_000,
    "wattsecond": 1.0,
    "watthour": 3_600,
    "kilowatthour": 3_600_000,
    "newtonmeter": 1.0,
    "calorie_nutr": 4_186.8,
    "kilocalorie_nutr": 4_186_800.00,
    "electronvolt": 1.602176634e-19,
    "britishthermalunit_it": 1_055.05_585,
    "footpound": 1.355_818,
}




def    a__    (		snake_case__					:							str						,   snake_case__					:							str						,   snake_case__					:							float     ):
  if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
    _UpperCAmelCase		:							Optional[Any]							=     (
        f'''Incorrect \'from_type\' or \'to_type\' value: {from_type!r}, {to_type!r}\n'''
        f'''Valid values are: {", ".join(snake_case__     )}'''
    )
    raise ValueError(snake_case__     )
  return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
 import doctest

 doctest.testmod()





