"""simple docstring"""


import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
 from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase_:					int     =					get_tests_dir("fixtures/test_sentencepiece.model")

lowerCAmelCase_:					int     =					{'''target_lang''': '''fi''', '''source_lang''': '''en'''}
lowerCAmelCase_:					Optional[int]     =					'''>>zh<<'''
lowerCAmelCase_:					Any     =					'''Helsinki-NLP/'''

if is_torch_available():
 lowerCAmelCase_:					Optional[Any]     =					'''pt'''
elif is_tf_available():
 lowerCAmelCase_:					Any     =					'''tf'''
else:
 lowerCAmelCase_:					int     =					'''jax'''






@require_sentencepiece
class    a__    (   a__					,					unittest.TestCase	):
   snake_case_							=      MarianTokenizer
   snake_case_							=      False
   snake_case_							=      True


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        super().setUp()
        lowercase__				 =							["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
        lowercase__				 =							dict(zip(lowerCAmelCase__,				range(len(lowerCAmelCase__  )  )  )  )
        lowercase__				 =							Path(self.tmpdirname  )
        save_json(lowerCAmelCase__,				save_dir / VOCAB_FILES_NAMES["vocab"]  )
        save_json(lowerCAmelCase__,				save_dir / VOCAB_FILES_NAMES["tokenizer_config_file"]  )
        if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
             copyfile(lowerCAmelCase__,				save_dir / VOCAB_FILES_NAMES["source_spm"]  )
             copyfile(lowerCAmelCase__,				save_dir / VOCAB_FILES_NAMES["target_spm"]  )

        lowercase__				 =							MarianTokenizer.from_pretrained(self.tmpdirname  )
        tokenizer.save_pretrained(self.tmpdirname  )


   def 	snake_case__	(     self,				**_UpperCAmelCase  ):
        '''simple docstring'''



        return MarianTokenizer.from_pretrained(self.tmpdirname,				**lowerCAmelCase__  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        return (
            "This is a test",
            "This is a test",
        )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							"</s>"
        lowercase__				 =							0

        self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase__  ),				lowerCAmelCase__  )
        self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase__  ),				lowerCAmelCase__  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							list(self.get_tokenizer().get_vocab().keys()  )

        self.assertEqual(vocab_keys[0],				"</s>"  )
        self.assertEqual(vocab_keys[1],				"<unk>"  )
        self.assertEqual(vocab_keys[-1],				"<pad>"  )
        self.assertEqual(len(lowerCAmelCase__  ),				9  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        self.assertEqual(self.get_tokenizer().vocab_size,				9  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							MarianTokenizer.from_pretrained(F'''{ORG_NAME}opus-mt-en-de'''  )
        lowercase__				 =							en_de_tokenizer(["I am a small frog"],				return_tensors=lowerCAmelCase__  )
        self.assertIsInstance(lowerCAmelCase__,				lowerCAmelCase__  )
        lowercase__				 =							[38, 121, 14, 697, 3_8848, 0]
        self.assertListEqual(lowerCAmelCase__,				batch.input_ids[0]  )

        lowercase__				 =							tempfile.mkdtemp()
        en_de_tokenizer.save_pretrained(lowerCAmelCase__  )
        lowercase__				 =							[x.name for x in Path(lowerCAmelCase__  ).glob("*"  )]
        self.assertIn("source.spm",				lowerCAmelCase__  )
        MarianTokenizer.from_pretrained(lowerCAmelCase__  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.get_tokenizer()

        lowercase__				 =							tok(
            ["I am a small frog" * 1000, "I am a small frog"],				padding=lowerCAmelCase__,				truncation=lowerCAmelCase__,				return_tensors=lowerCAmelCase__  )
        self.assertIsInstance(lowerCAmelCase__,				lowerCAmelCase__  )
        self.assertEqual(batch.input_ids.shape,				(2, 512)  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.get_tokenizer()
        lowercase__				 =							tok(["I am a tiny frog", "I am a small frog"],				padding=lowerCAmelCase__,				return_tensors=lowerCAmelCase__  )
        self.assertIsInstance(lowerCAmelCase__,				lowerCAmelCase__  )
        self.assertEqual(batch_smaller.input_ids.shape,				(2, 10)  )


   @slow
   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							{"input_ids": [[4_3495, 462, 20, 4_2164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 3_8999, 6, 8, 464, 132, 1703, 492, 13, 4669, 3_7867, 13, 7525, 27, 1593, 988, 13, 3_3972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 1_2338, 2, 1_3958, 387, 2, 3629, 6953, 188, 2900, 2, 1_3958, 8011, 1_1501, 23, 8460, 4073, 3_4009, 20, 435, 1_1439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 3_7867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 2_6453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 1_0767, 6, 316, 304, 4239, 3, 0], [148, 1_5722, 19, 1839, 12, 1350, 13, 2_2327, 5082, 5418, 4_7567, 3_5938, 59, 318, 1_9552, 108, 2183, 54, 1_4976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 1_9088, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100], [36, 6395, 1_2570, 3_9147, 1_1597, 6, 266, 4, 4_5405, 7296, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
        # fmt: on

        self.tokenizer_integration_test_util(
            expected_encoding=lowerCAmelCase__,				model_name="Helsinki-NLP/opus-mt-en-de",				revision="1a8c2263da11e68e50938f97e10cd57820bd504c",				decode_kwargs={"use_source_tokenizer": True},				)


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							MarianTokenizer.from_pretrained("hf-internal-testing/test-marian-two-vocabs"  )

        lowercase__				 =							"Tämä on testi"
        lowercase__				 =							"This is a test"

        lowercase__				 =							[76, 7, 2047, 2]
        lowercase__				 =							[69, 12, 11, 940, 2]

        lowercase__				 =							tokenizer(lowerCAmelCase__  ).input_ids
        self.assertListEqual(lowerCAmelCase__,				lowerCAmelCase__  )

        lowercase__				 =							tokenizer(text_target=lowerCAmelCase__  ).input_ids
        self.assertListEqual(lowerCAmelCase__,				lowerCAmelCase__  )

        lowercase__				 =							tokenizer.decode(lowerCAmelCase__,				skip_special_tokens=lowerCAmelCase__  )
        self.assertEqual(lowerCAmelCase__,				lowerCAmelCase__  )





"""simple docstring"""


lowerCAmelCase_:					Any     =					"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"







def 					__a   (		A      ):






     '''simple docstring'''



     if not isinstance(A    ,				A      ):
          lowercase__				 =							f'''a bytes-like object is required, not \'{data.__class__.__name__}\''''
          raise TypeError(A      )

     lowercase__				 =							"".join(bin(A      )[2:].zfill(8      ) for byte in data      )

     lowercase__				 =							len(A      ) % 6 != 0

     if padding_needed:
          # The padding that will be added later
          lowercase__				 =							b"=" * ((6 - len(A      ) % 6) // 2)

          # Append binary_stream with arbitrary binary digits (0's by default) to make its
          # length a multiple of 6.
          binary_stream += "0" * (6 - len(A      ) % 6)
     else:
          lowercase__				 =							b""

     # Encode every 6 binary digits to their corresponding Base64 character
     return (
         "".join(
             B64_CHARSET[int(binary_stream[index : index + 6]    ,				2      )]
             for index in range(0    ,				len(A      )    ,				6      )      ).encode()
         + padding
     )







def 					__a   (		A      ):






     '''simple docstring'''



     if not isinstance(A    ,				A      ) and not isinstance(A    ,				A      ):
          lowercase__				 =							(
              "argument should be a bytes-like object or ASCII string, "
              f'''not \'{encoded_data.__class__.__name__}\''''
          )
          raise TypeError(A      )

     # In case encoded_data is a bytes-like object, make sure it contains only
     # ASCII characters so we convert it to a string object
     if isinstance(A    ,				A      ):
          try:
               lowercase__				 =							encoded_data.decode("utf-8"      )
          except UnicodeDecodeError:
               raise ValueError("base64 encoded data should only contain ASCII characters"      )

     lowercase__				 =							encoded_data.count("="      )

     # Check if the encoded string contains non base64 characters
     if padding:
          assert all(
              char in B64_CHARSET for char in encoded_data[:-padding]      ), "Invalid base64 character(s) found."
     else:
          assert all(
              char in B64_CHARSET for char in encoded_data      ), "Invalid base64 character(s) found."

     # Check the padding
     assert len(A      ) % 4 == 0 and padding < 3, "Incorrect padding"

     if padding:
          # Remove padding if there is one
          lowercase__				 =							encoded_data[:-padding]

          lowercase__				 =							"".join(
              bin(B64_CHARSET.index(A      )      )[2:].zfill(6      ) for char in encoded_data      )[: -padding * 2]
     else:
          lowercase__				 =							"".join(
              bin(B64_CHARSET.index(A      )      )[2:].zfill(6      ) for char in encoded_data      )

     lowercase__				 =							[
         int(binary_stream[index : index + 8]    ,				2      )
         for index in range(0    ,				len(A      )    ,				8      )
     ]

     return bytes(A      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()




