





'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


A__    :       Dict              ={}


try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__    :       int              =['''MLukeTokenizer''']

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


else:
      import sys

      A__    :       Optional[int]              =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)













'''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(snake_case_       )							,		'''Tatoeba directory does not exist.'''       )
class 			UpperCAmelCase					(      unittest.TestCase       ):




      @cached_property
      def     lowercase__   (      self      :			int  )    ->				Any:
            _lowerCAmelCase												=							tempfile.mkdtemp()
            return TatoebaConverter(save_dir=__snake_case  )




      @slow
      def     lowercase__   (      self      :			Dict  )    ->				int:
            self.resolver.convert_models(["""heb-eng"""]  )




      @slow
      def     lowercase__   (      self      :			Optional[int]  )    ->				Tuple:
            _lowerCAmelCase					,							_lowerCAmelCase												=							self.resolver.write_model_card("""opus-mt-he-en"""      ,      dry_run=__snake_case  )
            assert mmeta["long_pair"] == "heb-eng"






