





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


lowerCAmelCase_        =							get_tests_dir('''fixtures/test_sentencepiece_with_bytefallback.model''')



@require_sentencepiece
@require_tokenizers
class    __lowerCAmelCase			(     _a,	unittest.TestCase	):
			lowerCamelCase_	:	List[Any]			     = GPTSwaTokenizer
			lowerCamelCase_	:	List[str]			     = False
			lowerCamelCase_	:	List[str]			     = True
			lowerCamelCase_	:	Union[str, Any]			     = False






			def      lowerCamelCase    (self       )	->  Dict:


							'''simple docstring'''



							super().setUp()

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

							tokenizer.save_pretrained(self.tmpdirname       )






			def      lowerCamelCase    (self   ,				__magic_name__       )	->  Optional[int]:


							'''simple docstring'''



							snake_case_		:       Optional[int]           =    '''This is a test'''
							snake_case_		:       Tuple           =    '''This is a test'''
							return input_text, output_text






			def      lowerCamelCase    (self       )	->  int:


							'''simple docstring'''



							snake_case_		:       int           =    '''<s>'''
							snake_case_		:       int           =    1

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






			def      lowerCamelCase    (self       )	->  Any:


							'''simple docstring'''



							snake_case_		:       Dict           =    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(__magic_name__       )   ,				2000       )






			def      lowerCamelCase    (self       )	->  Tuple:


							'''simple docstring'''



							self.assertEqual(self.get_tokenizer().vocab_size   ,				2000       )






			def      lowerCamelCase    (self       )	->  int:


							'''simple docstring'''



							snake_case_		:       Union[str, Any]           =    GPTSwaTokenizer(__magic_name__       )

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

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

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

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

							snake_case_		:       Union[str, Any]           =    tokenizer.convert_ids_to_tokens(__magic_name__       )
							# fmt: off
							self.assertListEqual(
							    __magic_name__   ,				['''▁I''', '''▁was''', '''▁bor''', '''n''', '''▁in''', '''▁''', '''<0x39>''', '''2''', '''0''', '''0''', '''0''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁f''', '''al''', '''s''', '''<0xC3>''', '''<0xA9>''', '''.''']       )
							# fmt: on






			def      lowerCamelCase    (self       )	->  List[Any]:


							'''simple docstring'''



							snake_case_		:       List[str]           =    GPTSwaTokenizer(__magic_name__       )
							snake_case_		:       Tuple           =    ['''This is a test''', '''I was born in 92000, and this is falsé.''']
							snake_case_		:       str           =    [
							    [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(__magic_name__   ,				__magic_name__       ):
											self.assertListEqual(tokenizer.encode_fast(__magic_name__       )   ,				__magic_name__       )

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






			@slow
			def      lowerCamelCase    (self       )	->  List[str]:


							'''simple docstring'''



							snake_case_		:       int           =    [
							    '''<|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
							snake_case_		:       Optional[Any]           =    {'''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=__magic_name__   ,				model_name='''AI-Sweden/gpt-sw3-126m'''   ,				sequences=__magic_name__   ,				)



"""simple docstring"""

def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						list:
 lowerCAmelCase__   :				List[str] 			=				len(lowercase__   )
 lowerCAmelCase__   :				Dict 			=				[]
 for i in range(len(lowercase__   ) - pat_len + 1   ):
  lowerCAmelCase__   :				Union[str, Any] 			=				True
  for j in range(lowercase__   ):
   if s[i + j] != pattern[j]:
    lowerCAmelCase__   :				int 			=				False
    break
  if match_found:
   position.append(lowercase__   )
 return position


if __name__ == "__main__":
    assert naive_pattern_search("""ABCDEFG""", """DE""") == [3]
    print(naive_pattern_search("""ABAAABCDBBABCDDEBCABC""", """ABC"""))






