





"""simple docstring"""



import unittest

import numpy as np
import torch

from .utils_summarization import build_mask, compute_token_type_ids, process_story, truncate_or_pad






class 		__snake_case (		unittest.TestCase					):





 """simple docstring"""


 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						int									=					10

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						Tuple									=					[1, 2, 3, 4]
     __A   :						Union[str, Any]									=					[1, 2, 3, 4, 0, 0, 0, 0, 0, 0]
     self.assertEqual(truncate_or_pad(lowerCamelCase_ ,						self.block_size ,						0  ) ,						lowerCamelCase_  )

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						int									=					[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
     __A   :						Optional[Any]									=					[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
     self.assertEqual(truncate_or_pad(lowerCamelCase_ ,						self.block_size ,						0  ) ,						lowerCamelCase_  )

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						int									=					[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
     __A   :						List[str]									=					[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
     self.assertEqual(truncate_or_pad(lowerCamelCase_ ,						self.block_size ,						0  ) ,						lowerCamelCase_  )

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						str									=					'''It was the year of Our Lord one thousand seven hundred and\n        seventy-five.\n\nSpiritual revelations were conceded to England at that\n        favoured period, as at this.'''
     __A			,	__A   :						Any									=					process_story(lowerCamelCase_  )
     self.assertEqual(lowerCamelCase_ ,						[]  )

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						int									=					''''''
     __A			,	__A   :						Optional[int]									=					process_story(lowerCamelCase_  )
     self.assertEqual(lowerCamelCase_ ,						[]  )
     self.assertEqual(lowerCamelCase_ ,						[]  )

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						List[Any]									=					(
         '''It was the year of Our Lord one thousand seven hundred and '''
         '''seventy-five\n\nSpiritual revelations were conceded to England '''
         '''at that favoured period, as at this.\n@highlight\n\nIt was the best of times'''
     )
     __A			,	__A   :						str									=					process_story(lowerCamelCase_  )

     __A   :						Dict									=					[
         '''It was the year of Our Lord one thousand seven hundred and seventy-five.''',
         '''Spiritual revelations were conceded to England at that favoured period, as at this.''',
     ]
     self.assertEqual(lowerCamelCase_ ,						lowerCamelCase_  )

     __A   :						Optional[Any]									=					['''It was the best of times.''']
     self.assertEqual(lowerCamelCase_ ,						lowerCamelCase_  )

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						Dict									=					torch.tensor([1, 2, 3, 4]  )
     __A   :						int									=					torch.tensor([1, 1, 1, 1]  )
     np.testing.assert_array_equal(build_mask(lowerCamelCase_ ,						0  ).numpy() ,						expected.numpy()  )

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						Optional[int]									=					torch.tensor([1, 2, 3, 4, 23, 23, 23]  )
     __A   :						str									=					torch.tensor([1, 1, 1, 1, 0, 0, 0]  )
     np.testing.assert_array_equal(build_mask(lowerCamelCase_ ,						23  ).numpy() ,						expected.numpy()  )

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						Optional[Any]									=					torch.tensor([8, 2, 3, 4, 1, 1, 1]  )
     __A   :						int									=					torch.tensor([1, 1, 1, 1, 0, 0, 0]  )
     np.testing.assert_array_equal(build_mask(lowerCamelCase_ ,						1  ).numpy() ,						expected.numpy()  )







 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						Optional[Any]									=					101
     __A   :						str									=					torch.tensor([[1, 2, 3, 4, 5, 6], [1, 2, 3, 101, 5, 6], [1, 101, 3, 4, 101, 6]]  )
     __A   :						List[str]									=					torch.tensor([[1, 1, 1, 1, 1, 1], [1, 1, 1, 0, 0, 0], [1, 0, 0, 0, 1, 1]]  )

     __A   :						Tuple									=					compute_token_type_ids(lowerCamelCase_ ,						lowerCamelCase_  )
     np.testing.assert_array_equal(lowerCamelCase_ ,						lowerCamelCase_  )











"""simple docstring"""



import math
from collections.abc import Iterator
from itertools import takewhile







def 		__lowercase					(       snake_case_  :  int						)       ->bool:



    '''simple docstring'''







    if 1 < number < 4:
        # 2 and 3 are primes
        return True
    elif number < 2 or number % 2 == 0 or number % 3 == 0:
        # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
        return False

    # All primes number are in format of 6k +/- 1
    for i in range(5    ,int(math.sqrt(snake_case_						) + 1						)    ,6						):
        if number % i == 0 or number % (i + 2) == 0:
            return False
    return True







def 		__lowercase					(       )       ->Iterator[int]:



    '''simple docstring'''







    __A   :						int									=					2
    while True:
        if is_prime(snake_case_						):
            yield num
        num += 1







def 		__lowercase					(       snake_case_  :  int = 2000000						)       ->int:



    '''simple docstring'''







    return sum(takewhile(lambda snake_case_						: x < n    ,prime_generator()						)						)


if __name__ == "__main__":
       print(f'''{solution() = }''')




