



from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

__snake_case		:int   	=  TypeVar('''T''')

class 					_A (			Generic[T]					):



       def __init__(	self							:  Tuple  ,	__SCREAMING_SNAKE_CASE							:  list[T]  ,	__SCREAMING_SNAKE_CASE							:  Callable[[T, T], T]):


           '''simple docstring'''

           __a		 =       None

           __a		 =       len(__SCREAMING_SNAKE_CASE)
           __a		 =       [any_type for _ in range(self.N)] + arr
           __a		 =       fnc
           self.build()



       def 	_lowerCamelCase    (	self							:  Optional[int]):


           '''simple docstring'''

           for p in range(self.N - 1  ,	0  ,	-1):
               __a		 =       self.fn(self.st[p * 2]  ,	self.st[p * 2 + 1])



       def 	_lowerCamelCase    (	self							:  List[Any]  ,	__SCREAMING_SNAKE_CASE							:  int  ,	__SCREAMING_SNAKE_CASE							:  T):


           '''simple docstring'''

           p += self.N
           __a		 =       v
           while p > 1:
               __a		 =       p // 2
               __a		 =       self.fn(self.st[p * 2]  ,	self.st[p * 2 + 1])





       def 	_lowerCamelCase    (	self							:  List[Any]  ,	__SCREAMING_SNAKE_CASE							:  int  ,	__SCREAMING_SNAKE_CASE							:  int):  # noqa: E741


           '''simple docstring'''

           __a ,     __a		 =       l + self.N, r + self.N

           __a		 =       None
           while l <= r:
               if l % 2 == 1:
                   __a		 =       self.st[l] if res is None else self.fn(__SCREAMING_SNAKE_CASE  ,	self.st[l])
               if r % 2 == 0:
                   __a		 =       self.st[r] if res is None else self.fn(__SCREAMING_SNAKE_CASE  ,	self.st[r])
               __a ,     __a		 =       (l + 1) // 2, (r - 1) // 2
           return res


if __name__ == "__main__":
 from functools import reduce

 __snake_case		:int   	=  [1, 10, -2, 9, -3, 8, 4, -7, 5, 6, 11, -12]

 __snake_case		:Tuple   	=  {
     0: 7,
     1: 2,
     2: 6,
     3: -14,
     4: 5,
     5: 4,
     6: 7,
     7: -10,
     8: 9,
     9: 10,
     10: 12,
     11: 1,
 }

 __snake_case		:Optional[int]   	=  SegmentTree(test_array, min)
 __snake_case		:Union[str, Any]   	=  SegmentTree(test_array, max)
 __snake_case		:str   	=  SegmentTree(test_array, lambda a, b: a + b)





 def   __snake_case			(    ):
     for i in range(len(_UpperCAmelCase       )       ):
         for j in range(_UpperCAmelCase     ,				len(_UpperCAmelCase       )       ):
             __a		 =       reduce(_UpperCAmelCase     ,				test_array[i : j + 1]       )
             __a		 =       reduce(_UpperCAmelCase     ,				test_array[i : j + 1]       )
             __a		 =       reduce(lambda _UpperCAmelCase     ,				_UpperCAmelCase       : a + b     ,				test_array[i : j + 1]       )
             assert min_range == min_segment_tree.query(_UpperCAmelCase     ,				_UpperCAmelCase       )
             assert max_range == max_segment_tree.query(_UpperCAmelCase     ,				_UpperCAmelCase       )
             assert sum_range == sum_segment_tree.query(_UpperCAmelCase     ,				_UpperCAmelCase       )

 test_all_segments()

 for index, value in test_updates.items():
  __snake_case		:int   	=  value
  min_segment_tree.update(index, value)
  max_segment_tree.update(index, value)
  sum_segment_tree.update(index, value)
  test_all_segments()










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


__snake_case		:Dict   	=  get_tests_dir('''fixtures/test_sentencepiece_with_bytefallback.model''')

@require_sentencepiece
@require_tokenizers
class 					_A (			__UpperCAmelCase   ,unittest.TestCase					):
       UpperCamelCase__						:					List[str]		      =		GPTSwaTokenizer
       UpperCamelCase__						:					Dict		      =		False
       UpperCamelCase__						:					int		      =		True
       UpperCamelCase__						:					List[Any]		      =		False



       def 	_lowerCamelCase    (	self							:  List[Any]):


           '''simple docstring'''

           super().setUp()

           # We have a SentencePiece fixture for testing
           __a		 =       GPTSwaTokenizer(__SCREAMING_SNAKE_CASE  ,	eos_token='''<unk>'''  ,	bos_token='''<unk>'''  ,	pad_token='''<unk>''')

           tokenizer.save_pretrained(self.tmpdirname)



       def 	_lowerCamelCase    (	self							:  Tuple  ,	__SCREAMING_SNAKE_CASE							:  int):


           '''simple docstring'''

           __a		 =       '''This is a test'''
           __a		 =       '''This is a test'''
           return input_text, output_text



       def 	_lowerCamelCase    (	self							:  Dict):


           '''simple docstring'''

           __a		 =       '''<s>'''
           __a		 =       1

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



       def 	_lowerCamelCase    (	self							:  List[Any]):


           '''simple docstring'''

           __a		 =       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(__SCREAMING_SNAKE_CASE)  ,	2_000)



       def 	_lowerCamelCase    (	self							:  Dict):


           '''simple docstring'''

           self.assertEqual(self.get_tokenizer().vocab_size  ,	2_000)



       def 	_lowerCamelCase    (	self							:  List[str]):


           '''simple docstring'''

           __a		 =       GPTSwaTokenizer(__SCREAMING_SNAKE_CASE)

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

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

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

           __a		 =       tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE)
           self.assertListEqual(
               __SCREAMING_SNAKE_CASE  ,	[262, 272, 1_525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260]  ,	)

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



       def 	_lowerCamelCase    (	self							:  Any):


           '''simple docstring'''

           __a		 =       GPTSwaTokenizer(__SCREAMING_SNAKE_CASE)
           __a		 =       ['''This is a test''', '''I was born in 92000, and this is falsé.''']
           __a		 =       [
               [465, 287, 265, 631, 842],
               [262, 272, 1_525, 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(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE):
               self.assertListEqual(tokenizer.encode_fast(__SCREAMING_SNAKE_CASE)  ,	__SCREAMING_SNAKE_CASE)

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





       @slow
       def 	_lowerCamelCase    (	self							:  Any):


           '''simple docstring'''

           __a		 =       [
               '''<|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
           __a		 =       {'''input_ids''': [[63_423, 5, 6_811, 14_954, 282, 816, 3_821, 63_466, 63_425, 63_462, 18, 63_978, 678, 301, 1_320, 63_423, 63_455, 63_458, 18, 63_982, 4_246, 3_940, 1_901, 47_789, 5_547, 18_994], [19_630, 1_100, 63_446, 1_342, 633, 544, 4_488, 593, 5_102, 2_416, 63_495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1_652, 428, 268, 1_936, 515, 268, 58_593, 22_413, 9_106, 546, 268, 33_213, 63_979, 698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [55_130, 63_450, 924, 63_449, 2_249, 4_062, 1_558, 318, 63_504, 21_498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [509, 377, 2_827, 2_559, 332, 6_575, 63_443, 26_801, 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=__SCREAMING_SNAKE_CASE  ,	model_name='''AI-Sweden/gpt-sw3-126m'''  ,	sequences=__SCREAMING_SNAKE_CASE  ,	)





