





'''simple docstring'''






from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters
def    UpperCamelCase__      (		):





      """simple docstring"""


      _lowerCAmelCase							     =							{
          """repo_name""": ["""test_repo1""", """test_repo2""", """test_repo3"""],
          """path""": ["""test_1.py""", """test_2.py""", """unit_test.py"""],
          """content""": ["""a """ * 20, """a """ * 30, """b """ * 7],
      }
      _lowerCAmelCase							     =							Dataset.from_dict(lowerCAmelCase  )
      return dataset





class  UpperCAmelCase     (			snake_case_   ):




      def 				lowercase__    (			self			: str  )				->      Any:
            _lowerCAmelCase							     =							get_dataset()
            _lowerCAmelCase							     =							make_duplicate_clusters(__snake_case			,			0.85  )
            self.assertEqual(len(duplicate_clusters[0]  )			,			2  )




      def 				lowercase__    (			self			: str  )				->      List[Any]:
            _lowerCAmelCase							     =							get_dataset()
            _lowerCAmelCase     ,							_lowerCAmelCase							     =							deduplicate_dataset(__snake_case  )
            self.assertEqual(len(__snake_case  )			,			2  )
            print(__snake_case  )
            self.assertEqual(duplicate_clusters[0][0]["""copies"""]			,			2  )
            self.assertEqual(duplicate_clusters[0][0]["""is_extreme"""]			,			__snake_case  )










'''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 		lowerCAmelCase__	(	unittest.TestCase		):




			@cached_property
			def 							lowerCAmelCase__			(						self     :   Optional[Any]       )      ->List[Any]:



					'''simple docstring'''







					_UpperCAmelCase						:				List[str]	    =					tempfile.mkdtemp()
					return TatoebaConverter(save_dir=lowerCamelCase__       )




			@slow
			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->List[str]:



					'''simple docstring'''







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






			@slow
			def 							lowerCAmelCase__			(						self     :   List[Any]       )      ->Any:



					'''simple docstring'''







					_UpperCAmelCase    ,			_UpperCAmelCase						:				Tuple	    =					self.resolver.write_model_card("opus-mt-he-en"		,     dry_run=lowerCamelCase__       )
					assert mmeta["long_pair"] == "heb-eng"



