import unittest

import numpy as np
import torch

from .utils_summarization import build_mask, compute_token_type_ids, process_story, truncate_or_pad
class 					__SCREAMING_SNAKE_CASE       (       unittest.TestCase):






       """simple docstring"""

       def      lowercase_   ( self				):
          __snake_case   :			str										=						10







       def      lowercase_   ( self				):
          __snake_case   :			Tuple										=						[1, 2, 3, 4]
          __snake_case   :			Optional[Any]										=						[1, 2, 3, 4, 0, 0, 0, 0, 0, 0]
          self.assertEqual(truncate_or_pad(_lowerCAmelCase			,		self.block_size			,		0				)			,		_lowerCAmelCase				)







       def      lowercase_   ( self				):
          __snake_case   :			Union[str, Any]										=						[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
          __snake_case   :			Tuple										=						[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
          self.assertEqual(truncate_or_pad(_lowerCAmelCase			,		self.block_size			,		0				)			,		_lowerCAmelCase				)







       def      lowercase_   ( self				):
          __snake_case   :			Optional[int]										=						[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
          __snake_case   :			Dict										=						[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
          self.assertEqual(truncate_or_pad(_lowerCAmelCase			,		self.block_size			,		0				)			,		_lowerCAmelCase				)







       def      lowercase_   ( self				):
          __snake_case   :			List[Any]										=						'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.'
          __snake_case						,       __snake_case   :			str										=						process_story(_lowerCAmelCase				)
          self.assertEqual(_lowerCAmelCase			,		[]				)







       def      lowercase_   ( self				):
          __snake_case   :			int										=						''
          __snake_case						,       __snake_case   :			List[str]										=						process_story(_lowerCAmelCase				)
          self.assertEqual(_lowerCAmelCase			,		[]				)
          self.assertEqual(_lowerCAmelCase			,		[]				)







       def      lowercase_   ( self				):
          __snake_case   :			Optional[int]										=						(
              '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'
          )
          __snake_case						,       __snake_case   :			str										=						process_story(_lowerCAmelCase				)

          __snake_case   :			Union[str, Any]										=						[
              '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				)

          __snake_case   :			Dict										=						['It was the best of times.']
          self.assertEqual(_lowerCAmelCase			,		_lowerCAmelCase				)







       def      lowercase_   ( self				):
          __snake_case   :			Union[str, Any]										=						torch.tensor([1, 2, 3, 4]				)
          __snake_case   :			str										=						torch.tensor([1, 1, 1, 1]				)
          np.testing.assert_array_equal(build_mask(_lowerCAmelCase			,		0				).numpy()			,		expected.numpy()				)







       def      lowercase_   ( self				):
          __snake_case   :			List[Any]										=						torch.tensor([1, 2, 3, 4, 23, 23, 23]				)
          __snake_case   :			Optional[Any]										=						torch.tensor([1, 1, 1, 1, 0, 0, 0]				)
          np.testing.assert_array_equal(build_mask(_lowerCAmelCase			,		23				).numpy()			,		expected.numpy()				)







       def      lowercase_   ( self				):
          __snake_case   :			str										=						torch.tensor([8, 2, 3, 4, 1, 1, 1]				)
          __snake_case   :			Dict										=						torch.tensor([1, 1, 1, 1, 0, 0, 0]				)
          np.testing.assert_array_equal(build_mask(_lowerCAmelCase			,		1				).numpy()			,		expected.numpy()				)







       def      lowercase_   ( self				):
          __snake_case   :			Union[str, Any]										=						101
          __snake_case   :			List[Any]										=						torch.tensor([[1, 2, 3, 4, 5, 6], [1, 2, 3, 101, 5, 6], [1, 101, 3, 4, 101, 6]]				)
          __snake_case   :			Optional[Any]										=						torch.tensor([[1, 1, 1, 1, 1, 1], [1, 1, 1, 0, 0, 0], [1, 0, 0, 0, 1, 1]]				)

          __snake_case   :			Optional[Any]										=						compute_token_type_ids(_lowerCAmelCase			,		_lowerCAmelCase				)
          np.testing.assert_array_equal(_lowerCAmelCase			,		_lowerCAmelCase				)










'''simple docstring'''


from __future__ import annotations


def 						__a(SCREAMING_SNAKE_CASE_	:       int | float | str		,							SCREAMING_SNAKE_CASE_	:       int | float | str     ):



    '''simple docstring'''





    if nth_term == "":
        return [""]
    _lowerCAmelCase						      =   int(SCREAMING_SNAKE_CASE_     )
    _lowerCAmelCase						      =   int(SCREAMING_SNAKE_CASE_     )
    _lowerCAmelCase						      =   []
    for temp in range(int(SCREAMING_SNAKE_CASE_     )     ):
        series.append(F'''1 / {pow(temp + 1		,							int(SCREAMING_SNAKE_CASE_     )     )}''' if series else "1"     )
    return series


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       _SCREAMING_SNAKE_CASE									=				int(input("Enter the last number (nth term) of the P-Series"))
       _SCREAMING_SNAKE_CASE									=				int(input("Enter the power for  P-Series"))
       print("Formula of P-Series => 1+1/2^p+1/3^p ..... 1/n^p")
       print(p_series(nth_term, power))


