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


__a:			Union[str, Any]	       =       "▁"

__a:			Dict	       =       get_tests_dir("""fixtures/test_sentencepiece.model""")



@require_sentencepiece
class       UpperCAmelCase  (						_a   ,						unittest.TestCase ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   BertGenerationTokenizer
       SCREAMING_SNAKE_CASE 		=   False
       SCREAMING_SNAKE_CASE 		=   True

       def _lowerCAmelCase(						self			)  ->  Tuple:
        super().setUp()

        lowercase__    :   str						= BertGenerationTokenizer(__lowerCAmelCase     ,       keep_accents=__lowerCAmelCase			)
        tokenizer.save_pretrained(self.tmpdirname			)

       def _lowerCAmelCase(						self			)  ->  List[str]:
        lowercase__    :   List[Any]						= '<s>'
        lowercase__    :   Any						= 1

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

       def _lowerCAmelCase(						self			)  ->  Any:
        lowercase__    :   Any						= 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(__lowerCAmelCase			)     ,       1002			)

       def _lowerCAmelCase(						self			)  ->  List[Any]:
        self.assertEqual(self.get_tokenizer().vocab_size     ,       1000			)

       def _lowerCAmelCase(						self			)  ->  Union[str, Any]:
        lowercase__    :   Any						= BertGenerationTokenizer(__lowerCAmelCase     ,       keep_accents=__lowerCAmelCase			)

        lowercase__    :   List[str]						= tokenizer.tokenize('''This is a test'''			)
        self.assertListEqual(__lowerCAmelCase     ,       ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']			)

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

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

        lowercase__    :   List[str]						= tokenizer.convert_ids_to_tokens(__lowerCAmelCase			)
        self.assertListEqual(
            __lowerCAmelCase     ,       [
                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 _lowerCAmelCase(						self			)  ->  Dict:
        return BertGenerationTokenizer.from_pretrained('''google/bert_for_seq_generation_L-24_bbc_encoder'''			)

       @slow
       def _lowerCAmelCase(						self			)  ->  str:
        lowercase__    :   Any						= 'Hello World!'
        lowercase__    :   int						= [18536, 2260, 101]

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

       @slow
       def _lowerCAmelCase(						self			)  ->  Union[str, Any]:
        lowercase__    :   Tuple						= (
            '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'
        )
        lowercase__    :   Union[str, Any]						= [
            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,
            34324,
            497,
            391,
            408,
            11342,
            1244,
            385,
            100,
            938,
            985,
            456,
            574,
            362,
            12597,
            3200,
            3129,
            1172,
        ]

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

       @require_torch
       @slow
       def _lowerCAmelCase(						self			)  ->  str:
        import torch

        from transformers import BertGenerationConfig, BertGenerationEncoder

        # Build sequence
        lowercase__    :   List[str]						= list(self.big_tokenizer.get_vocab().keys()			)[:10]
        lowercase__    :   Dict						= ' '.join(__lowerCAmelCase			)
        lowercase__    :   List[Any]						= self.big_tokenizer.encode_plus(__lowerCAmelCase     ,       return_tensors='''pt'''     ,       return_token_type_ids=__lowerCAmelCase			)
        lowercase__    :   List[str]						= self.big_tokenizer.batch_encode_plus(
            [sequence + ''' ''' + sequence]     ,       return_tensors='''pt'''     ,       return_token_type_ids=__lowerCAmelCase			)

        lowercase__    :   Tuple						= BertGenerationConfig()
        lowercase__    :   Optional[int]						= BertGenerationEncoder(__lowerCAmelCase			)

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

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


       @slow
       def _lowerCAmelCase(						self			)  ->  Union[str, Any]:
        lowercase__    :   Optional[Any]						= {'input_ids': [[39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114], [448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 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, 21932, 18146, 726, 363, 17032, 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=__lowerCAmelCase     ,       model_name='''google/bert_for_seq_generation_L-24_bbc_encoder'''     ,       revision='''c817d1fd1be2ffa69431227a1fe320544943d4db'''     ,       )


'''simple docstring'''

def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase					):
 lowercase__    :   Dict						= len(UpperCAmelCase					)
 print('''The following activities are selected:'''					)

 # The first activity is always selected
 lowercase__    :   str						= 0
 print(UpperCAmelCase		,					end=''','''					)

 # Consider rest of the activities
 for j in range(UpperCAmelCase					):
  # If this activity has start time greater than
  # or equal to the finish time of previously
  # selected activity, then select it
  if start[j] >= finish[i]:
   print(UpperCAmelCase		,					end=''','''					)
   lowercase__    :   str						= j


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  __a:			str	       =       [1, 3, 0, 5, 8, 5]
  __a:			Optional[Any]	       =       [2, 4, 6, 7, 9, 9]
  print_max_activities(start, finish)

