




"""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 					__magic_name__							( unittest.TestCase       ):






				'''simple docstring'''





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      10





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      [1, 2, 3, 4]
							lowerCamelCase       =      [1, 2, 3, 4, 0, 0, 0, 0, 0, 0]
							self.assertEqual(truncate_or_pad(lowerCAmelCase__	,				self.block_size	,				0				)	,				lowerCAmelCase__				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
							lowerCamelCase       =      [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
							self.assertEqual(truncate_or_pad(lowerCAmelCase__	,				self.block_size	,				0				)	,				lowerCAmelCase__				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
							lowerCamelCase       =      [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
							self.assertEqual(truncate_or_pad(lowerCAmelCase__	,				self.block_size	,				0				)	,				lowerCAmelCase__				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      """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."""
							lowerCamelCase   ,     lowerCamelCase       =      process_story(lowerCAmelCase__				)
							self.assertEqual(lowerCAmelCase__	,				[]				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      """"""
							lowerCamelCase   ,     lowerCamelCase       =      process_story(lowerCAmelCase__				)
							self.assertEqual(lowerCAmelCase__	,				[]				)
							self.assertEqual(lowerCAmelCase__	,				[]				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      (
							    """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"""
							)
							lowerCamelCase   ,     lowerCamelCase       =      process_story(lowerCAmelCase__				)

							lowerCamelCase       =      [
							    """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__				)

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





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      torch.tensor([1, 2, 3, 4]				)
							lowerCamelCase       =      torch.tensor([1, 1, 1, 1]				)
							np.testing.assert_array_equal(build_mask(lowerCAmelCase__	,				0				).numpy()	,				expected.numpy()				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      torch.tensor([1, 2, 3, 4, 23, 23, 23]				)
							lowerCamelCase       =      torch.tensor([1, 1, 1, 1, 0, 0, 0]				)
							np.testing.assert_array_equal(build_mask(lowerCAmelCase__	,				23				).numpy()	,				expected.numpy()				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      torch.tensor([8, 2, 3, 4, 1, 1, 1]				)
							lowerCamelCase       =      torch.tensor([1, 1, 1, 1, 0, 0, 0]				)
							np.testing.assert_array_equal(build_mask(lowerCAmelCase__	,				1				).numpy()	,				expected.numpy()				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      101
							lowerCamelCase       =      torch.tensor([[1, 2, 3, 4, 5, 6], [1, 2, 3, 101, 5, 6], [1, 101, 3, 4, 101, 6]]				)
							lowerCamelCase       =      torch.tensor([[1, 1, 1, 1, 1, 1], [1, 1, 1, 0, 0, 0], [1, 0, 0, 0, 1, 1]]				)

							lowerCamelCase       =      compute_token_type_ids(lowerCAmelCase__	,				lowerCAmelCase__				)
							np.testing.assert_array_equal(lowerCAmelCase__	,				lowerCAmelCase__				)









"""simple docstring"""




from __future__ import annotations

lowerCAmelCase							:    str  							=							[-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
lowerCAmelCase							:    Dict  							=							[-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]



def 					a__				(       snake_case__       )		->      list[float]:
			lowerCamelCase       =      []
			lowerCamelCase       =      len(snake_case__       )

			for i in range(snake_case__       ):
						lowerCamelCase       =      -1
						for j in range(i + 1 ,				snake_case__       ):
									if arr[i] < arr[j]:
												lowerCamelCase       =      arr[j]
												break
						result.append(snake_case__       )
			return result



def 					a__				(       snake_case__       )		->      list[float]:
			lowerCamelCase       =      []
			for i, outer in enumerate(snake_case__       ):
						lowerCamelCase       =      -1
						for inner in arr[i + 1 :]:
									if outer < inner:
												lowerCamelCase       =      inner
												break
						result.append(snake_case__       )
			return result



def 					a__				(       snake_case__       )		->      list[float]:
			lowerCamelCase       =      len(snake_case__       )
			lowerCamelCase       =      []
			lowerCamelCase       =      [-1] * arr_size

			for index in reversed(range(snake_case__       )       ):
						if stack:
									while stack[-1] <= arr[index]:
												stack.pop()
												if not stack:
															break
						if stack:
									lowerCamelCase       =      stack[-1]
						stack.append(arr[index]       )
			return result


if __name__ == "__main__":
					from doctest import testmod
					from timeit import timeit

					testmod()
					print(next_greatest_element_slow(arr))
					print(next_greatest_element_fast(arr))
					print(next_greatest_element(arr))

					lowerCAmelCase							:    Dict  							=							(
					    """from __main__ import arr, next_greatest_element_slow, """
					    """next_greatest_element_fast, next_greatest_element"""
					)
					print(
					    """next_greatest_element_slow():""",
					    timeit("""next_greatest_element_slow(arr)""", setup=setup),
					)
					print(
					    """next_greatest_element_fast():""",
					    timeit("""next_greatest_element_fast(arr)""", setup=setup),
					)
					print(
					    """     next_greatest_element():""",
					    timeit("""next_greatest_element(arr)""", setup=setup),
					)



