





'''simple docstring'''






import unittest
import warnings
from dataclasses import dataclass

from transformers.convert_slow_tokenizer import SpmConverter
from transformers.testing_utils import get_tests_dir


@dataclass
class 	_lowercase    :
   _UpperCamelCase									= 42







class 	_lowercase    (				unittest.TestCase					):


   def        snake_case					(			self       ):
       A							:							Optional[int]				=    get_tests_dir('''fixtures/test_sentencepiece.model'''       )
       A							:							Optional[Any]				=    get_tests_dir('''fixtures/test_sentencepiece_with_bytefallback.model'''       )

       A							:							Union[str, Any]				=    FakeOriginalTokenizer(vocab_file=SCREAMING_SNAKE_CASE_       )

       with warnings.catch_warnings(record=SCREAMING_SNAKE_CASE_       ) as w:
           A							:							Any				=    SpmConverter(SCREAMING_SNAKE_CASE_       )
       self.assertEqual(len(SCREAMING_SNAKE_CASE_       )     , 0       )

       A							:							str				=    FakeOriginalTokenizer(vocab_file=SCREAMING_SNAKE_CASE_       )

       with warnings.catch_warnings(record=SCREAMING_SNAKE_CASE_       ) as w:
           A							:							str				=    SpmConverter(SCREAMING_SNAKE_CASE_       )
       self.assertEqual(len(SCREAMING_SNAKE_CASE_       )     , 1       )

       self.assertIn(
           '''The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option'''
           ''' which is not implemented in the fast tokenizers.'''     , str(w[0].message       )     , )




_A		:					Union[str, Any]          =							1_000



def      __lowerCAmelCase    (				snake_case						:     float			)							->				float:
   return x * x



def      __lowerCAmelCase    (				snake_case						:     Optional[int]    ,   snake_case						:     float    ,   snake_case						:     float    ,   snake_case						:     int = 4			)							->				float:
   assert callable(
       snake_case			), f'the function(object) passed should be callable your input : {function}'
   assert isinstance(snake_case    ,   (float, int)			), f'a should be float or integer your input : {a}'
   assert isinstance(function(snake_case			)    ,   (float, int)			), (
       "the function should return integer or float return type of your function, "
       f'{type(snake_case			)}'
   )
   assert isinstance(snake_case    ,   (float, int)			), f'b should be float or integer your input : {b}'
   assert (
       isinstance(snake_case    ,   snake_case			) and precision > 0
   ), f'precision should be positive integer your input : {precision}'

   # just applying the formula of simpson for approximate integration written in
   # mentioned article in first comment of this file and above this function

   __lowerCamelCase:					List[str]	 =						(b - a) / N_STEPS
   __lowerCamelCase:					Optional[Any]	 =						function(snake_case			) + function(snake_case			)

   for i in range(1    ,   snake_case			):
      __lowerCamelCase:					Dict	 =						a + h * i
      result += function(snake_case			) * (4 if i % 2 else 2)

   result *= h / 3
   return round(snake_case    ,   snake_case			)


if __name__ == "__main__":
   import doctest

   doctest.testmod()


