



import unittest

import numpy as np
import torch

from .utils_summarization import build_mask, compute_token_type_ids, process_story, truncate_or_pad





class  __magic_name__   (							unittest.TestCase						):






		def SCREAMING_SNAKE_CASE_			(						self      :     List[str]      )				->					Tuple:
								'''simple docstring'''







								UpperCAmelCase         =     10






		def SCREAMING_SNAKE_CASE_			(						self      :     List[str]      )				->					Dict:
								'''simple docstring'''







								UpperCAmelCase         =     [1, 2, 3, 4]
								UpperCAmelCase         =     [1, 2, 3, 4, 0, 0, 0, 0, 0, 0]
								self.assertEqual(truncate_or_pad(UpperCamelCase__				,		self.block_size				,		0      )				,		UpperCamelCase__      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Dict      )				->					Dict:
								'''simple docstring'''







								UpperCAmelCase         =     [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
								UpperCAmelCase         =     [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
								self.assertEqual(truncate_or_pad(UpperCamelCase__				,		self.block_size				,		0      )				,		UpperCamelCase__      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Any      )				->					List[Any]:
								'''simple docstring'''







								UpperCAmelCase         =     [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
								UpperCAmelCase         =     [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
								self.assertEqual(truncate_or_pad(UpperCamelCase__				,		self.block_size				,		0      )				,		UpperCamelCase__      )






		def SCREAMING_SNAKE_CASE_			(						self      :     str      )				->					Union[str, Any]:
								'''simple docstring'''







								UpperCAmelCase         =     "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."
								UpperCAmelCase       ,		UpperCAmelCase         =     process_story(UpperCamelCase__      )
								self.assertEqual(UpperCamelCase__				,		[]      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Dict      )				->					str:
								'''simple docstring'''







								UpperCAmelCase         =     ""
								UpperCAmelCase       ,		UpperCAmelCase         =     process_story(UpperCamelCase__      )
								self.assertEqual(UpperCamelCase__				,		[]      )
								self.assertEqual(UpperCamelCase__				,		[]      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Optional[int]      )				->					Union[str, Any]:
								'''simple docstring'''







								UpperCAmelCase         =     (
								    "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"
								)
								UpperCAmelCase       ,		UpperCAmelCase         =     process_story(UpperCamelCase__      )

								UpperCAmelCase         =     [
								    "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(UpperCamelCase__				,		UpperCamelCase__      )

								UpperCAmelCase         =     ["It was the best of times."]
								self.assertEqual(UpperCamelCase__				,		UpperCamelCase__      )






		def SCREAMING_SNAKE_CASE_			(						self      :     List[Any]      )				->					Tuple:
								'''simple docstring'''







								UpperCAmelCase         =     torch.tensor([1, 2, 3, 4]      )
								UpperCAmelCase         =     torch.tensor([1, 1, 1, 1]      )
								np.testing.assert_array_equal(build_mask(UpperCamelCase__				,		0      ).numpy()				,		expected.numpy()      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Dict      )				->					Any:
								'''simple docstring'''







								UpperCAmelCase         =     torch.tensor([1, 2, 3, 4, 23, 23, 23]      )
								UpperCAmelCase         =     torch.tensor([1, 1, 1, 1, 0, 0, 0]      )
								np.testing.assert_array_equal(build_mask(UpperCamelCase__				,		23      ).numpy()				,		expected.numpy()      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Any      )				->					Tuple:
								'''simple docstring'''







								UpperCAmelCase         =     torch.tensor([8, 2, 3, 4, 1, 1, 1]      )
								UpperCAmelCase         =     torch.tensor([1, 1, 1, 1, 0, 0, 0]      )
								np.testing.assert_array_equal(build_mask(UpperCamelCase__				,		1      ).numpy()				,		expected.numpy()      )







		def SCREAMING_SNAKE_CASE_			(						self      :     Union[str, Any]      )				->					Optional[int]:
								'''simple docstring'''







								UpperCAmelCase         =     1_01
								UpperCAmelCase         =     torch.tensor([[1, 2, 3, 4, 5, 6], [1, 2, 3, 1_01, 5, 6], [1, 1_01, 3, 4, 1_01, 6]]      )
								UpperCAmelCase         =     torch.tensor([[1, 1, 1, 1, 1, 1], [1, 1, 1, 0, 0, 0], [1, 0, 0, 0, 1, 1]]      )

								UpperCAmelCase         =     compute_token_type_ids(UpperCamelCase__				,		UpperCamelCase__      )
								np.testing.assert_array_equal(UpperCamelCase__				,		UpperCamelCase__      )








from __future__ import annotations

def    lowerCamelCase_(lowerCamelCase_    ) ->       int:
						UpperCAmelCase         =     len(lowerCamelCase_    ) // 2

						# choose the middle 3 elements
						UpperCAmelCase         =     lst[m - 1 : m + 2]

						# if middle element is peak
						if three[1] > three[0] and three[1] > three[2]:
												return three[1]

						# if increasing, recurse on right
						elif three[0] < three[2]:
												if len(lst[:m]    ) == 2:
																		m -= 1
												return peak(lst[m:]    )

						# decreasing
						else:
												if len(lst[:m]    ) == 2:
																		m += 1
												return peak(lst[:m]    )


if __name__ == "__main__":
		import doctest

		doctest.testmod()



