

"""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(lowerCAmelCase__   )					,					'Tatoeba directory does not exist.'   )
class       lowerCamelCase	(       unittest.TestCase   ):


  '''simple docstring'''







  @cached_property
  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Any							=    tempfile.mkdtemp()
        return TatoebaConverter(save_dir=_lowerCamelCase	)



  @slow
  def  _a      (self	):


        """simple docstring"""

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




  @slow
  def  _a      (self	):


        """simple docstring"""

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




"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


_A							=  {}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _A							=  ["""BartphoTokenizer"""]

if TYPE_CHECKING:
    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_bartpho import BartphoTokenizer

else:
    import sys

    _A							=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

