
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


lowercase__          ='''▁'''

lowercase__          =get_tests_dir('fixtures/test_sentencepiece.model')



@require_sentencepiece
class 		UpperCamelCase__  (	a__   ,unittest.TestCase   ):
   _SCREAMING_SNAKE_CASE				:							Dict     	=				BertGenerationTokenizer
   _SCREAMING_SNAKE_CASE				:							int     	=				False
   _SCREAMING_SNAKE_CASE				:							List[str]     	=				True
   def 				lowerCAmelCase      (self			: List[str]       ):
    super().setUp()

    __a			:  Optional[int]		    =  BertGenerationTokenizer(_lowerCamelCase ,    keep_accents=_lowerCamelCase       )
    tokenizer.save_pretrained(self.tmpdirname       )
   def 				lowerCAmelCase      (self			: int       ):
    __a			:  List[str]		    =  '''<s>'''
    __a			:  Optional[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			: List[str]       ):
    __a			:  int		    =  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       ) ,    1_0_0_2       )
   def 				lowerCAmelCase      (self			: Union[str, Any]       ):
    self.assertEqual(self.get_tokenizer().vocab_size ,    1_0_0_0       )
   def 				lowerCAmelCase      (self			: int       ):
    __a			:  Dict		    =  BertGenerationTokenizer(_lowerCamelCase ,    keep_accents=_lowerCamelCase       )

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

    self.assertListEqual(
        tokenizer.convert_tokens_to_ids(_lowerCamelCase       ) ,    [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2] ,    )

    __a			:  str		    =  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''',
            '''.''',
        ] ,    )
    __a			:  Optional[Any]		    =  tokenizer.convert_tokens_to_ids(_lowerCamelCase       )
    self.assertListEqual(
        _lowerCamelCase ,    [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4] ,    )

    __a			:  Any		    =  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			: Tuple       ):
    return BertGenerationTokenizer.from_pretrained('''google/bert_for_seq_generation_L-24_bbc_encoder'''       )
   @slow
   def 				lowerCAmelCase      (self			: str       ):
    __a			:  List[Any]		    =  '''Hello World!'''
    __a			:  Union[str, Any]		    =  [1_8_5_3_6, 2_2_6_0, 1_0_1]

    self.assertListEqual(_lowerCamelCase ,    self.big_tokenizer.encode(_lowerCamelCase       )       )
   @slow
   def 				lowerCAmelCase      (self			: Tuple       ):
    __a			:  List[str]		    =  (
        '''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'''
    )
    __a			:  List[str]		    =  [
        8_7_1,
        4_1_9,
        3_5_8,
        9_4_6,
        9_9_1,
        2_5_2_1,
        4_5_2,
        3_5_8,
        1_3_5_7,
        3_8_7,
        7_7_5_1,
        3_5_3_6,
        1_1_2,
        9_8_5,
        4_5_6,
        1_2_6,
        8_6_5,
        9_3_8,
        5_4_0_0,
        5_7_3_4,
        4_5_8,
        1_3_6_8,
        4_6_7,
        7_8_6,
        2_4_6_2,
        5_2_4_6,
        1_1_5_9,
        6_3_3,
        8_6_5,
        4_5_1_9,
        4_5_7,
        5_8_2,
        8_5_2,
        2_5_5_7,
        4_2_7,
        9_1_6,
        5_0_8,
        4_0_5,
        3_4_3_2_4,
        4_9_7,
        3_9_1,
        4_0_8,
        1_1_3_4_2,
        1_2_4_4,
        3_8_5,
        1_0_0,
        9_3_8,
        9_8_5,
        4_5_6,
        5_7_4,
        3_6_2,
        1_2_5_9_7,
        3_2_0_0,
        3_1_2_9,
        1_1_7_2,
    ]

    self.assertListEqual(_lowerCamelCase ,    self.big_tokenizer.encode(_lowerCamelCase       )       )
   @require_torch
   @slow
   def 				lowerCAmelCase      (self			: List[str]       ):
    import torch

    from transformers import BertGenerationConfig, BertGenerationEncoder

    # Build sequence
    __a			:  List[str]		    =  list(self.big_tokenizer.get_vocab().keys()       )[:1_0]
    __a			:  str		    =  ''' '''.join(_lowerCamelCase       )
    __a			:  Dict		    =  self.big_tokenizer.encode_plus(_lowerCamelCase ,    return_tensors='''pt''' ,    return_token_type_ids=_lowerCamelCase       )
    __a			:  Dict		    =  self.big_tokenizer.batch_encode_plus(
        [sequence + ''' ''' + sequence] ,    return_tensors='''pt''' ,    return_token_type_ids=_lowerCamelCase       )

    __a			:  Dict		    =  BertGenerationConfig()
    __a			:  str		    =  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			: str       ):
    # fmt: off
    __a			:  int		    =  {'''input_ids''': [[3_9_2_8_6, 4_5_8, 3_6_3_3_5, 2_0_0_1, 4_5_6, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 7_7_4_6, 1_7_4_1, 1_1_1_5_7, 3_9_1, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 3_9_6_7, 3_5_4_1_2, 1_1_3, 4_9_3_6, 1_0_9, 3_8_7_0, 2_3_7_7, 1_1_3, 3_0_0_8_4, 4_5_7_2_0, 4_5_8, 1_3_4, 1_7_4_9_6, 1_1_2, 5_0_3, 1_1_6_7_2, 1_1_3, 1_1_8, 1_1_2, 5_6_6_5, 1_3_3_4_7, 3_8_6_8_7, 1_1_2, 1_4_9_6, 3_1_3_8_9, 1_1_2, 3_2_6_8, 4_7_2_6_4, 1_3_4, 9_6_2, 1_1_2, 1_6_3_7_7, 8_0_3_5, 2_3_1_3_0, 4_3_0, 1_2_1_6_9, 1_5_5_1_8, 2_8_5_9_2, 4_5_8, 1_4_6, 4_1_6_9_7, 1_0_9, 3_9_1, 1_2_1_6_9, 1_5_5_1_8, 1_6_6_8_9, 4_5_8, 1_4_6, 4_1_3_5_8, 1_0_9, 4_5_2, 7_2_6, 4_0_3_4, 1_1_1, 7_6_3, 3_5_4_1_2, 5_0_8_2, 3_8_8, 1_9_0_3, 1_1_1, 9_0_5_1, 3_9_1, 2_8_7_0, 4_8_9_1_8, 1_9_0_0, 1_1_2_3, 5_5_0, 9_9_8, 1_1_2, 9_5_8_6, 1_5_9_8_5, 4_5_5, 3_9_1, 4_1_0, 2_2_9_5_5, 3_7_6_3_6, 1_1_4], [4_4_8, 1_7_4_9_6, 4_1_9, 3_6_6_3, 3_8_5, 7_6_3, 1_1_3, 2_7_5_3_3, 2_8_7_0, 3_2_8_3, 1_3_0_4_3, 1_6_3_9, 2_4_7_1_3, 5_2_3, 6_5_6, 2_4_0_1_3, 1_8_5_5_0, 2_5_2_1, 5_1_7, 2_7_0_1_4, 2_1_2_4_4, 4_2_0, 1_2_1_2, 1_4_6_5, 3_9_1, 9_2_7, 4_8_3_3, 3_8_8, 5_7_8, 1_1_7_8_6, 1_1_4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4_8_4, 2_1_6_9, 7_6_8_7, 2_1_9_3_2, 1_8_1_4_6, 7_2_6, 3_6_3, 1_7_0_3_2, 3_3_9_1, 1_1_4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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''' ,    )


def        __UpperCamelCase					(    lowerCAmelCase__							:    list[list[int | float]]  ):
 __a			:  int		    =  len(lowerCAmelCase__  )
 __a			:  Dict		    =  len(matrix[0]  )
 __a			:  Union[str, Any]		    =  min(lowerCAmelCase__  ,       lowerCAmelCase__  )

 for row in range(lowerCAmelCase__  ):
  # Check if diagonal element is not zero
  if matrix[row][row] != 0:
   # Eliminate all the elements below the diagonal
   for col in range(row + 1  ,       lowerCAmelCase__  ):
    __a			:  Dict		    =  matrix[col][row] / matrix[row][row]
    for i in range(lowerCAmelCase__  ,       lowerCAmelCase__  ):
     matrix[col][i] -= multiplier * matrix[row][i]
  else:
   # Find a non-zero diagonal element to swap rows
   __a			:  Optional[int]		    =  True
   for i in range(row + 1  ,       lowerCAmelCase__  ):
    if matrix[i][row] != 0:
     __a    ,	__a			:  Any		    =  matrix[i], matrix[row]
     __a			:  Union[str, Any]		    =  False
     break
   if reduce:
    rank -= 1
    for i in range(lowerCAmelCase__  ):
     __a			:  Optional[Any]		    =  matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
   row -= 1

 return rank


if __name__ == "__main__":
      import doctest

      doctest.testmod()
