




import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase_					    = "▁"

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






@require_sentencepiece
class  _lowerCAmelCase     (  UpperCAmelCase_    ,			unittest.TestCase	):
      A__		     =		BertGenerationTokenizer
      A__		     =		False
      A__		     =		True

      def 	__magic_name__(   self		):
        super().setUp()

        lowerCAmelCase__		       =     BertGenerationTokenizer(_lowercase      ,				keep_accents=_lowercase		)
        tokenizer.save_pretrained(self.tmpdirname		)

      def 	__magic_name__(   self		):
        lowerCAmelCase__		       =     '<s>'
        lowerCAmelCase__		       =     1

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

      def 	__magic_name__(   self		):
        lowerCAmelCase__		       =     list(self.get_tokenizer().get_vocab().keys()		)

        self.assertEqual(vocab_keys[0]      ,				'''<unk>'''		)
        self.assertEqual(vocab_keys[1]      ,				'''<s>'''		)
        self.assertEqual(vocab_keys[-1]      ,				'''<pad>'''		)
        self.assertEqual(len(_lowercase		)      ,				1002		)

      def 	__magic_name__(   self		):
        self.assertEqual(self.get_tokenizer().vocab_size      ,				1000		)

      def 	__magic_name__(   self		):
        lowerCAmelCase__		       =     BertGenerationTokenizer(_lowercase      ,				keep_accents=_lowercase		)

        lowerCAmelCase__		       =     tokenizer.tokenize('''This is a test'''		)
        self.assertListEqual(_lowercase      ,				['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']		)

        self.assertListEqual(
            tokenizer.convert_tokens_to_ids(_lowercase		)      ,				[285, 46, 10, 170, 382]      ,				)

        lowerCAmelCase__		       =     tokenizer.tokenize('''I was born in 92000, and this is falsé.'''		)
        self.assertListEqual(
            _lowercase      ,				[
                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''',
                '''.''',
            ]      ,				)
        lowerCAmelCase__		       =     tokenizer.convert_tokens_to_ids(_lowercase		)
        self.assertListEqual(
            _lowercase      ,				[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]      ,				)

        lowerCAmelCase__		       =     tokenizer.convert_ids_to_tokens(_lowercase		)
        self.assertListEqual(
            _lowercase      ,				[
                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 	__magic_name__(   self		):
        return BertGenerationTokenizer.from_pretrained('''google/bert_for_seq_generation_L-24_bbc_encoder'''		)

      @slow
      def 	__magic_name__(   self		):
        lowerCAmelCase__		       =     'Hello World!'
        lowerCAmelCase__		       =     [1_8536, 2260, 101]

        self.assertListEqual(_lowercase      ,				self.big_tokenizer.encode(_lowercase		)		)

      @slow
      def 	__magic_name__(   self		):
        lowerCAmelCase__		       =     (
            'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
            ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
        )
        lowerCAmelCase__		       =     [
            871,
            419,
            358,
            946,
            991,
            2521,
            452,
            358,
            1357,
            387,
            7751,
            3536,
            112,
            985,
            456,
            126,
            865,
            938,
            5400,
            5734,
            458,
            1368,
            467,
            786,
            2462,
            5246,
            1159,
            633,
            865,
            4519,
            457,
            582,
            852,
            2557,
            427,
            916,
            508,
            405,
            3_4324,
            497,
            391,
            408,
            1_1342,
            1244,
            385,
            100,
            938,
            985,
            456,
            574,
            362,
            1_2597,
            3200,
            3129,
            1172,
        ]

        self.assertListEqual(_lowercase      ,				self.big_tokenizer.encode(_lowercase		)		)

      @require_torch
      @slow
      def 	__magic_name__(   self		):
        import torch

        from transformers import BertGenerationConfig, BertGenerationEncoder

        # Build sequence
        lowerCAmelCase__		       =     list(self.big_tokenizer.get_vocab().keys()		)[:10]
        lowerCAmelCase__		       =     ' '.join(_lowercase		)
        lowerCAmelCase__		       =     self.big_tokenizer.encode_plus(_lowercase      ,				return_tensors='''pt'''      ,				return_token_type_ids=_lowercase		)
        lowerCAmelCase__		       =     self.big_tokenizer.batch_encode_plus(
            [sequence + ''' ''' + sequence]      ,				return_tensors='''pt'''      ,				return_token_type_ids=_lowercase		)

        lowerCAmelCase__		       =     BertGenerationConfig()
        lowerCAmelCase__		       =     BertGenerationEncoder(_lowercase		)

        assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

        with torch.no_grad():
          model(**_lowercase		)
          model(**_lowercase		)







      @slow
      def 	__magic_name__(   self		):
        # fmt: off
        lowerCAmelCase__		       =     {'input_ids': [[3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114], [448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2169, 7687, 2_1932, 1_8146, 726, 363, 1_7032, 3391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=_lowercase      ,				model_name='''google/bert_for_seq_generation_L-24_bbc_encoder'''      ,				revision='''c817d1fd1be2ffa69431227a1fe320544943d4db'''      ,				)







from abc import ABC, abstractmethod
from argparse import ArgumentParser






class  _lowerCAmelCase     (  _lowercase	):

      @staticmethod
      @abstractmethod
      def 	__magic_name__(   __UpperCAmelCase		):
        raise NotImplementedError()







      @abstractmethod
      def 	__magic_name__(   self		):
        raise NotImplementedError()

