

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


_SCREAMING_SNAKE_CASE					:  str             =      get_tests_dir('''fixtures/test_sentencepiece.model''')

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

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






@require_sentencepiece
class 	UpperCAmelCase__		(	A__						,					unittest.TestCase	):






  """simple docstring"""


  a									= MarianTokenizer
  a									= False
  a									= True






  def 				lowercase_		(							self						:		Any )		->							Tuple:
       super().setUp()
       SCREAMING_SNAKE_CASE__   =   ['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
       SCREAMING_SNAKE_CASE__   =   dict(zip(__lowerCamelCase     ,       range(len(__lowerCamelCase ) ) ) )
       SCREAMING_SNAKE_CASE__   =   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'''] )

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






  def 				lowercase_		(							self						:		Tuple     ,       **__lowerCamelCase						:		Union[str, Any] )		->							MarianTokenizer:
       return MarianTokenizer.from_pretrained(self.tmpdirname     ,       **__lowerCamelCase )






  def 				lowercase_		(							self						:		int     ,       __lowerCamelCase						:		List[str] )		->							List[str]:
       return (
           "This is a test",
           "This is a test",
       )






  def 				lowercase_		(							self						:		Dict )		->							str:
       SCREAMING_SNAKE_CASE__   =   '''</s>'''
       SCREAMING_SNAKE_CASE__   =   0

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






  def 				lowercase_		(							self						:		int )		->							Dict:
       SCREAMING_SNAKE_CASE__   =   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 				lowercase_		(							self						:		Union[str, Any] )		->							Any:
       self.assertEqual(self.get_tokenizer().vocab_size     ,       9 )






  def 				lowercase_		(							self						:		Dict )		->							Optional[Any]:
       SCREAMING_SNAKE_CASE__   =   MarianTokenizer.from_pretrained(f'''{ORG_NAME}opus-mt-en-de''' )
       SCREAMING_SNAKE_CASE__   =   en_de_tokenizer(['''I am a small frog''']     ,       return_tensors=__lowerCamelCase )
       self.assertIsInstance(__lowerCamelCase     ,       __lowerCamelCase )
       SCREAMING_SNAKE_CASE__   =   [38, 121, 14, 697, 3_8848, 0]
       self.assertListEqual(__lowerCamelCase     ,       batch.input_ids[0] )

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






  def 				lowercase_		(							self						:		int )		->							Optional[Any]:
       SCREAMING_SNAKE_CASE__   =   self.get_tokenizer()

       SCREAMING_SNAKE_CASE__   =   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 				lowercase_		(							self						:		Optional[Any] )		->							Optional[Any]:
       SCREAMING_SNAKE_CASE__   =   self.get_tokenizer()
       SCREAMING_SNAKE_CASE__   =   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 				lowercase_		(							self						:		List[Any] )		->							List[str]:
       # fmt: off
       SCREAMING_SNAKE_CASE__   =   {'''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 				lowercase_		(							self						:		int )		->							List[str]:
       SCREAMING_SNAKE_CASE__   =   MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs''' )

       SCREAMING_SNAKE_CASE__   =   '''Tämä on testi'''
       SCREAMING_SNAKE_CASE__   =   '''This is a test'''

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

       SCREAMING_SNAKE_CASE__   =   tokenizer(__lowerCamelCase ).input_ids
       self.assertListEqual(__lowerCamelCase     ,       __lowerCamelCase )

       SCREAMING_SNAKE_CASE__   =   tokenizer(text_target=__lowerCamelCase ).input_ids
       self.assertListEqual(__lowerCamelCase     ,       __lowerCamelCase )

       SCREAMING_SNAKE_CASE__   =   tokenizer.decode(__lowerCamelCase     ,       skip_special_tokens=__lowerCamelCase )
       self.assertEqual(__lowerCamelCase     ,       __lowerCamelCase )





def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     if not isinstance(_A				,		_A    ):
          raise ValueError('''multiplicative_persistence() only accepts integral values'''    )
     if num < 0:
          raise ValueError('''multiplicative_persistence() does not accept negative values'''    )

     SCREAMING_SNAKE_CASE__   =   0
     SCREAMING_SNAKE_CASE__   =   str(_A    )

     while len(_A    ) != 1:
          SCREAMING_SNAKE_CASE__   =   [int(_A    ) for i in num_string]

          SCREAMING_SNAKE_CASE__   =   1
          for i in range(0				,		len(_A    )    ):
               total *= numbers[i]

          SCREAMING_SNAKE_CASE__   =   str(_A    )

          steps += 1
     return steps
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     if not isinstance(_A				,		_A    ):
          raise ValueError('''additive_persistence() only accepts integral values'''    )
     if num < 0:
          raise ValueError('''additive_persistence() does not accept negative values'''    )

     SCREAMING_SNAKE_CASE__   =   0
     SCREAMING_SNAKE_CASE__   =   str(_A    )

     while len(_A    ) != 1:
          SCREAMING_SNAKE_CASE__   =   [int(_A    ) for i in num_string]

          SCREAMING_SNAKE_CASE__   =   0
          for i in range(0				,		len(_A    )    ):
               total += numbers[i]

          SCREAMING_SNAKE_CASE__   =   str(_A    )

          steps += 1
     return steps


if __name__ == "__main__":
       import doctest

       doctest.testmod()


