

"""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										=		get_tests_dir("fixtures/test_sentencepiece.model")

__lowerCamelCase										=		{"target_lang": "fi", "source_lang": "en"}
__lowerCamelCase										=		">>zh<<"
__lowerCamelCase										=		"Helsinki-NLP/"

if is_torch_available():
 __lowerCamelCase										=		"pt"
elif is_tf_available():
 __lowerCamelCase										=		"tf"
else:
 __lowerCamelCase										=		"jax"
@require_sentencepiece
class        _lowercase					(     __UpperCAmelCase   , unittest.TestCase     ):
     _lowerCamelCase     =       MarianTokenizer
     _lowerCamelCase     =       False
     _lowerCamelCase     =       True







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

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







     def 	lowerCAmelCase__    (      self ,						**UpperCamelCase_       ):
      return MarianTokenizer.from_pretrained(self.tmpdirname ,						**UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      return (
          "This is a test",
          "This is a test",
      )







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      '''</s>'''
      __magic_name__     =      0

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







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      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(UpperCamelCase_       ) ,						9       )







     def 	lowerCAmelCase__    (      self       ):
      self.assertEqual(self.get_tokenizer().vocab_size ,						9       )







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

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







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      self.get_tokenizer()

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







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      self.get_tokenizer()
      __magic_name__     =      tok(['''I am a tiny frog''', '''I am a small frog'''] ,						padding=UpperCamelCase_ ,						return_tensors=UpperCamelCase_       )
      self.assertIsInstance(UpperCamelCase_ ,						UpperCamelCase_       )
      self.assertEqual(batch_smaller.input_ids.shape ,						(2, 10)       )







     @slow
     def 	lowerCAmelCase__    (      self       ):
      # fmt: off
      __magic_name__     =      {'''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=UpperCamelCase_ ,						model_name='''Helsinki-NLP/opus-mt-en-de''' ,						revision='''1a8c2263da11e68e50938f97e10cd57820bd504c''' ,						decode_kwargs={'''use_source_tokenizer''': True} ,						)







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs'''       )

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

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

      __magic_name__     =      tokenizer(UpperCamelCase_       ).input_ids
      self.assertListEqual(UpperCamelCase_ ,						UpperCamelCase_       )

      __magic_name__     =      tokenizer(text_target=UpperCamelCase_       ).input_ids
      self.assertListEqual(UpperCamelCase_ ,						UpperCamelCase_       )

      __magic_name__     =      tokenizer.decode(UpperCamelCase_ ,						skip_special_tokens=UpperCamelCase_       )
      self.assertEqual(UpperCamelCase_ ,						UpperCamelCase_       )





"""simple docstring"""






class        _lowercase					:







     def __init__(      self ,						UpperCamelCase_       ):
      __magic_name__     =      size
      __magic_name__     =      [0] * size
      __magic_name__     =      [0] * size







     @staticmethod
     def 	lowerCAmelCase__    (      UpperCamelCase_       ):
      return index | (index + 1)







     @staticmethod
     def 	lowerCAmelCase__    (      UpperCamelCase_       ):
      return (index & (index + 1)) - 1







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      __magic_name__     =      value
      while index < self.size:
       __magic_name__     =      self.get_prev(UpperCamelCase_       ) + 1
       if current_left_border == index:
        __magic_name__     =      value
       else:
        __magic_name__     =      max(UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       )
       __magic_name__     =      self.get_next(UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      right -= 1  # Because of right is exclusive
      __magic_name__     =      0
      while left <= right:
       __magic_name__     =      self.get_prev(UpperCamelCase_       )
       if left <= current_left:
        __magic_name__     =      max(UpperCamelCase_ ,						self.tree[right]       )
        __magic_name__     =      current_left
       else:
        __magic_name__     =      max(UpperCamelCase_ ,						self.arr[right]       )
        right -= 1
      return result


if __name__ == "__main__":
 import doctest

 doctest.testmod()

