




import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin




@require_jieba
class       a__	( UpperCamelCase__       , unittest.TestCase				):
     a		:      List[str]		 =     CpmAntTokenizer
     a		:      Optional[int]		 =     False







     def       lowerCAmelCase_    (     self			)  ->   List[str]:



          '''simple docstring'''



          super().setUp()

          a     =				[
              "<d>",
              "</d>",
              "<s>",
              "</s>",
              "</_>",
              "<unk>",
              "<pad>",
              "</n>",
              "我",
              "是",
              "C",
              "P",
              "M",
              "A",
              "n",
              "t",
          ]
          a     =				os.path.join(self.tmpdirname  ,		VOCAB_FILES_NAMES["vocab_file"]			)
          with open(self.vocab_file  ,		"w"  ,		encoding="utf-8"			) as vocab_writer:
               vocab_writer.write("".join([x + "\n" for x in vocab_tokens]			)			)







     @tooslow
     def       lowerCAmelCase_    (     self			)  ->   Optional[Any]:



          '''simple docstring'''



          a     =				CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b"			)
          a     =				"今天天气真好！"
          a     =				["今天", "天气", "真", "好", "！"]
          a     =				tokenizer.tokenize(A			)
          self.assertListEqual(A  ,		A			)
          a     =				"今天天气真好！"
          a     =				[tokenizer.bos_token] + tokens

          a     =				[6, 9802, 14962, 2082, 831, 244]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(A			)  ,		A			)

          a     =				tokenizer.decode(A			)
          self.assertEqual(A  ,		A			)







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       a__	( unittest.TestCase				):







     @cached_property
     def       lowerCAmelCase_    (     self			)  ->   List[str]:



          '''simple docstring'''



          a     =				tempfile.mkdtemp()
          return TatoebaConverter(save_dir=A			)







     @slow
     def       lowerCAmelCase_    (     self			)  ->   int:



          '''simple docstring'''



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







     @slow
     def       lowerCAmelCase_    (     self			)  ->   Dict:



          '''simple docstring'''



          a  ,				a     =				self.resolver.write_model_card("opus-mt-he-en"  ,		dry_run=A			)
          assert mmeta["long_pair"] == "heb-eng"

