


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 						_snake_case    ( unittest.TestCase				):




 @cached_property
 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a		:int									=			tempfile.mkdtemp()
       return TatoebaConverter(save_dir=_UpperCamelCase       )




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




 @slow
 def 			SCREAMING_SNAKE_CASE__							(						self       ):
       a				,							a		:Tuple									=			self.resolver.write_model_card('''opus-mt-he-en'''   ,    dry_run=_UpperCamelCase       )
       assert mmeta["long_pair"] == "heb-eng"








import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


UpperCamelCase__		 =     logging.get_logger(__name__)

class     __snake_case    (				snake_case__  ):
       """simple docstring"""







       def __init__(		self      , *_UpperCamelCase      , **_UpperCamelCase   )      ->							None:






              """simple docstring"""


              warnings.warn(
                  """The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
                  """ use YolosImageProcessor instead."""      , _UpperCamelCase      , )
              super().__init__(*_UpperCamelCase      , **_UpperCamelCase   )

