





import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase     :   Dict						     =  get_tests_dir('fixtures/test_sentencepiece.model')
@require_sentencepiece
class  _A		(  __magic_name__   ,     unittest.TestCase):
  SCREAMING_SNAKE_CASE    :      int       =  XLMProphetNetTokenizer
  SCREAMING_SNAKE_CASE    :      List[str]       =  False
  SCREAMING_SNAKE_CASE    :      Dict       =  True

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        super().setUp()

        # We have a SentencePiece fixture for testing
        SCREAMING_SNAKE_CASE_				:  Tuple           =     XLMProphetNetTokenizer(_SCREAMING_SNAKE_CASE ,					keep_accents=_SCREAMING_SNAKE_CASE					)
        tokenizer.save_pretrained(self.tmpdirname					)

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  List[str]           =     '[PAD]'
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     0

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

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Tuple           =     list(self.get_tokenizer().get_vocab().keys()					)

        self.assertEqual(vocab_keys[0] ,					'[PAD]'					)
        self.assertEqual(vocab_keys[1] ,					'[CLS]'					)
        self.assertEqual(vocab_keys[-1] ,					'j'					)
        self.assertEqual(len(_SCREAMING_SNAKE_CASE					) ,					1012					)

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        self.assertEqual(self.get_tokenizer().vocab_size ,					1012					)

  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  str           =     XLMProphetNetTokenizer(_SCREAMING_SNAKE_CASE ,					keep_accents=_SCREAMING_SNAKE_CASE					)

        SCREAMING_SNAKE_CASE_				:  int           =     tokenizer.tokenize('This is a test'					)
        self.assertListEqual(_SCREAMING_SNAKE_CASE ,					['▁This', '▁is', '▁a', '▁t', 'est']					)

        self.assertListEqual(
            tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE					) ,					[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]] ,					)

        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     tokenizer.tokenize('I was born in 92000, and this is falsé.'					)
        self.assertListEqual(
            _SCREAMING_SNAKE_CASE ,					[
                SPIECE_UNDERLINE + 'I',
                SPIECE_UNDERLINE + 'was',
                SPIECE_UNDERLINE + 'b',
                'or',
                'n',
                SPIECE_UNDERLINE + 'in',
                SPIECE_UNDERLINE + '',
                '9',
                '2',
                '0',
                '0',
                '0',
                ',',
                SPIECE_UNDERLINE + 'and',
                SPIECE_UNDERLINE + 'this',
                SPIECE_UNDERLINE + 'is',
                SPIECE_UNDERLINE + 'f',
                'al',
                's',
                'é',
                '.',
            ] ,					)
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(
            _SCREAMING_SNAKE_CASE ,					[
                value + tokenizer.fairseq_offset
                for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
            ] ,					)

        SCREAMING_SNAKE_CASE_				:  List[str]           =     tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE					)
        self.assertListEqual(
            _SCREAMING_SNAKE_CASE ,					[
                SPIECE_UNDERLINE + 'I',
                SPIECE_UNDERLINE + 'was',
                SPIECE_UNDERLINE + 'b',
                'or',
                'n',
                SPIECE_UNDERLINE + 'in',
                SPIECE_UNDERLINE + '',
                '[UNK]',
                '2',
                '0',
                '0',
                '0',
                ',',
                SPIECE_UNDERLINE + 'and',
                SPIECE_UNDERLINE + 'this',
                SPIECE_UNDERLINE + 'is',
                SPIECE_UNDERLINE + 'f',
                'al',
                's',
                '[UNK]',
                '.',
            ] ,					)

  @cached_property
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        return XLMProphetNetTokenizer.from_pretrained('microsoft/xprophetnet-large-wiki100-cased'					)

  @slow
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Any           =     'Hello World!'
        SCREAMING_SNAKE_CASE_				:  Optional[int]           =     [3_5389, 6672, 49, 2]
        self.assertListEqual(_SCREAMING_SNAKE_CASE ,					self.big_tokenizer.encode(_SCREAMING_SNAKE_CASE					)					)



  @slow
  def  UpperCAmelCase    (				self					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     {'input_ids': [[1_1073, 8_2783, 18, 26, 8_2783, 549, 5_1540, 248, 1_7209, 1301, 217, 20, 21_5186, 1325, 147, 1_7209, 1301, 217, 20, 5_6370, 53, 12_2020, 20, 1_6477, 27, 8_7355, 4548, 20, 4728, 7_8392, 17, 15_9969, 18, 26, 2_4491, 629, 15, 538, 2_2704, 5439, 15, 2788, 2_4491, 9885, 15, 4_3534, 605, 15, 814, 1_8403, 3_3200, 29, 15, 4_3534, 2_4458, 1_2410, 111, 2_4966, 8_3669, 9637, 14_4068, 26, 850, 2_2346, 27, 147, 2_4966, 8_3669, 8_3490, 26, 3_9113, 735, 27, 689, 656, 2800, 1339, 4600, 53, 12_2020, 11_5785, 34, 816, 1339, 4_6887, 18, 147, 5_3905, 1951, 4_2238, 4_1170, 1_7732, 834, 436, 15, 2_7523, 9_8733, 217, 147, 5542, 4981, 930, 1_7347, 16, 2], [2_0091, 629, 94, 8_2786, 58, 490, 20, 1528, 84, 5_3905, 344, 8_0592, 11_0128, 1_8822, 5267, 1306, 62, 15_2537, 308, 7997, 401, 12_4427, 549, 3_5442, 225, 109, 1_5055, 2_5748, 147, 7119, 4_3712, 34, 767, 13_5366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 6_3784, 11_9466, 17, 14_7808, 8_8214, 18, 656, 81, 32, 3296, 1_0280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '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, 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], [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, 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=_SCREAMING_SNAKE_CASE ,					model_name='microsoft/xprophetnet-large-wiki100-cased' ,					revision='1acad1643ddd54a44df6a1b797ada8373685d90e' ,					)









def    A_  (							a					,   a  ):

      """simple docstring"""



      return int((input_a, input_a).count(0  ) != 0  )

def    A_  (							):

      """simple docstring"""



      assert nand_gate(0					,   0  ) == 1
      assert nand_gate(0					,   1  ) == 1
      assert nand_gate(1					,   0  ) == 1
      assert nand_gate(1					,   1  ) == 0


if __name__ == "__main__":
    print(nand_gate(0, 0))
    print(nand_gate(0, 1))
    print(nand_gate(1, 0))
    print(nand_gate(1, 1))






