
"""simple docstring"""




import unittest

from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


A__   :					Optional[Any]							=   get_tests_dir('fixtures/test_sentencepiece_with_bytefallback.model')


@require_sentencepiece
@require_tokenizers
class 			__magic_name__       (       SCREAMING_SNAKE_CASE__   ,					unittest.TestCase ):
       UpperCamelCase_   =		GPTSwaTokenizer
       UpperCamelCase_   =		False
       UpperCamelCase_   =		True
       UpperCamelCase_   =		False
       def 							lowercase_							(     self       )     ->	Optional[int]:





         """simple docstring"""




         super().setUp()

         # We have a SentencePiece fixture for testing
         _lowercase:			Optional[Any]       =     GPTSwaTokenizer(A_ ,				eos_token='''<unk>''' ,				bos_token='''<unk>''' ,				pad_token='''<unk>'''       )

         tokenizer.save_pretrained(self.tmpdirname       )
       def 							lowercase_							(     self ,				A_       )     ->	Union[str, Any]:





         """simple docstring"""




         _lowercase:			int       =     '''This is a test'''
         _lowercase:			Union[str, Any]       =     '''This is a test'''
         return input_text, output_text
       def 							lowercase_							(     self       )     ->	Dict:





         """simple docstring"""




         _lowercase:			List[Any]       =     '''<s>'''
         _lowercase:			str       =     1

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_       ) ,				A_       )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_       ) ,				A_       )
       def 							lowercase_							(     self       )     ->	List[Any]:





         """simple docstring"""




         _lowercase:			List[str]       =     list(self.get_tokenizer().get_vocab().keys()       )

         self.assertEqual(vocab_keys[0] ,				'''<unk>'''       )
         self.assertEqual(vocab_keys[1] ,				'''<s>'''       )
         self.assertEqual(vocab_keys[-1] ,				'''j'''       )
         self.assertEqual(len(A_       ) ,				2000       )
       def 							lowercase_							(     self       )     ->	Dict:





         """simple docstring"""




         self.assertEqual(self.get_tokenizer().vocab_size ,				2000       )
       def 							lowercase_							(     self       )     ->	int:





         """simple docstring"""




         _lowercase:			List[Any]       =     GPTSwaTokenizer(A_       )

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

         self.assertListEqual(tokenizer.convert_tokens_to_ids(A_       ) ,				[465, 287, 265, 631, 842]       )

         _lowercase:			List[Any]       =     tokenizer.tokenize('''I was born in 92000, and this is falsé.'''       )
         # fmt: off
         self.assertListEqual(
             A_ ,				['''▁I''', '''▁was''', '''▁bor''', '''n''', '''▁in''', '''▁''', '''<0x39>''', '''2''', '''0''', '''0''', '''0''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁f''', '''al''', '''s''', '''<0xC3>''', '''<0xA9>''', '''.'''] ,				)
         # fmt: on

         _lowercase:			Any       =     tokenizer.convert_tokens_to_ids(A_       )
         self.assertListEqual(
             A_ ,				[262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260] ,				)

         _lowercase:			Optional[int]       =     tokenizer.convert_ids_to_tokens(A_       )
         # fmt: off
         self.assertListEqual(
             A_ ,				['''▁I''', '''▁was''', '''▁bor''', '''n''', '''▁in''', '''▁''', '''<0x39>''', '''2''', '''0''', '''0''', '''0''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁f''', '''al''', '''s''', '''<0xC3>''', '''<0xA9>''', '''.''']       )
         # fmt: on
       def 							lowercase_							(     self       )     ->	List[str]:





         """simple docstring"""




         _lowercase:			Optional[int]       =     GPTSwaTokenizer(A_       )
         _lowercase:			List[Any]       =     ['''This is a test''', '''I was born in 92000, and this is falsé.''']
         _lowercase:			Tuple       =     [
             [465, 287, 265, 631, 842],
             [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260],
         ]

         # Test that encode_fast returns the same as tokenize + convert_tokens_to_ids
         for text, expected_ids in zip(A_ ,				A_       ):
           self.assertListEqual(tokenizer.encode_fast(A_       ) ,				A_       )

         # Test that decode_fast returns the input text
         for text, token_ids in zip(A_ ,				A_       ):
           self.assertEqual(tokenizer.decode_fast(A_       ) ,				A_       )



       @slow
       def 							lowercase_							(     self       )     ->	List[Any]:





         """simple docstring"""




         _lowercase:			Any       =     [
             '''<|python|>def fibonacci(n)\n    if n < 0:\n        print(\'Incorrect input\')''',
             '''Hey there, how are you doing this fine day?''',
             '''This is a text with a trailing spaces followed by a dot     .''',
             '''Häj sväjs lillebrör! =)''',
             '''Det är inget fel på Mr. Cool''',
         ]

         # fmt: off
         _lowercase:			Optional[int]       =     {'''input_ids''': [[6_3423, 5, 6811, 1_4954, 282, 816, 3821, 6_3466, 6_3425, 6_3462, 18, 6_3978, 678, 301, 1320, 6_3423, 6_3455, 6_3458, 18, 6_3982, 4246, 3940, 1901, 4_7789, 5547, 1_8994], [1_9630, 1100, 6_3446, 1342, 633, 544, 4488, 593, 5102, 2416, 6_3495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1652, 428, 268, 1936, 515, 268, 5_8593, 2_2413, 9106, 546, 268, 3_3213, 6_3979, 698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_5130, 6_3450, 924, 6_3449, 2249, 4062, 1558, 318, 6_3504, 2_1498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [509, 377, 2827, 2559, 332, 6575, 6_3443, 2_6801, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''token_type_ids''': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 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, 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], [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], [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]]}
         # fmt: on
         self.tokenizer_integration_test_util(
             expected_encoding=A_ ,				model_name='''AI-Sweden/gpt-sw3-126m''' ,				sequences=A_ ,				)


"""simple docstring"""




from __future__ import annotations

import numpy as np




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  _lowercase ,				_lowercase:			List[str]       =     np.shape(_UpperCamelCase						)
  if rows != columns:
    _lowercase:			int       =     (
        '''\'table\' has to be of square shaped array but got a '''
        f'''{rows}x{columns} array:\n{table}'''
    )
    raise ValueError(_UpperCamelCase						)

  _lowercase:			Tuple       =     np.zeros((rows, columns)						)
  _lowercase:			Tuple       =     np.zeros((rows, columns)						)
  for i in range(_UpperCamelCase						):
    for j in range(_UpperCamelCase						):
      _lowercase:			List[Any]       =     sum(lower[i][k] * upper[k][j] for k in range(_UpperCamelCase						)						)
      if upper[j][j] == 0:
        raise ArithmeticError('''No LU decomposition exists'''						)
      _lowercase:			Any       =     (table[i][j] - total) / upper[j][j]
    _lowercase:			Any       =     1
    for j in range(_UpperCamelCase ,				_UpperCamelCase						):
      _lowercase:			Optional[int]       =     sum(lower[i][k] * upper[k][j] for k in range(_UpperCamelCase						)						)
      _lowercase:			List[str]       =     table[i][j] - total
  return lower, upper


if __name__ == "__main__":
  import doctest

  doctest.testmod()
