






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 ):
	def      __magic_name__							(							self					)				-> Tuple:
							__magic_name__     :  List[str]  		=   10
	def      __magic_name__							(							self					)				-> List[str]:
							__magic_name__     :  str  		=   [1, 2, 3, 4]
							__magic_name__     :  Any  		=   [1, 2, 3, 4, 0, 0, 0, 0, 0, 0]
							self.assertEqual(truncate_or_pad(lowerCAmelCase_     ,  self.block_size     ,  0					)     ,  lowerCAmelCase_					)
	def      __magic_name__							(							self					)				-> Optional[Any]:
							__magic_name__     :  Tuple  		=   [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
							__magic_name__     :  int  		=   [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
							self.assertEqual(truncate_or_pad(lowerCAmelCase_     ,  self.block_size     ,  0					)     ,  lowerCAmelCase_					)
	def      __magic_name__							(							self					)				-> int:
							__magic_name__     :  List[Any]  		=   [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
							__magic_name__     :  int  		=   [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
							self.assertEqual(truncate_or_pad(lowerCAmelCase_     ,  self.block_size     ,  0					)     ,  lowerCAmelCase_					)
	def      __magic_name__							(							self					)				-> List[str]:
							__magic_name__     :  Optional[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."""
							__magic_name__     :  List[str]  		=   process_story(lowerCAmelCase_					)
							self.assertEqual(lowerCAmelCase_     ,  []					)
	def      __magic_name__							(							self					)				-> Any:
							__magic_name__     :  List[Any]  		=   """"""
							__magic_name__     :  Optional[Any]  		=   process_story(lowerCAmelCase_					)
							self.assertEqual(lowerCAmelCase_     ,  []					)
							self.assertEqual(lowerCAmelCase_     ,  []					)
	def      __magic_name__							(							self					)				-> List[str]:
							__magic_name__     :  List[str]  		=   (
							    """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"""
							)
							__magic_name__     :  int  		=   process_story(lowerCAmelCase_					)

							__magic_name__     :  str  		=   [
							    """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_					)

							__magic_name__     :  Dict  		=   ["""It was the best of times."""]
							self.assertEqual(lowerCAmelCase_     ,  lowerCAmelCase_					)
	def      __magic_name__							(							self					)				-> Any:
							__magic_name__     :  Optional[int]  		=   torch.tensor([1, 2, 3, 4]					)
							__magic_name__     :  List[Any]  		=   torch.tensor([1, 1, 1, 1]					)
							np.testing.assert_array_equal(build_mask(lowerCAmelCase_     ,  0					).numpy()     ,  expected.numpy()					)
	def      __magic_name__							(							self					)				-> Any:
							__magic_name__     :  Tuple  		=   torch.tensor([1, 2, 3, 4, 23, 23, 23]					)
							__magic_name__     :  Optional[Any]  		=   torch.tensor([1, 1, 1, 1, 0, 0, 0]					)
							np.testing.assert_array_equal(build_mask(lowerCAmelCase_     ,  23					).numpy()     ,  expected.numpy()					)
	def      __magic_name__							(							self					)				-> Optional[Any]:
							__magic_name__     :  List[Any]  		=   torch.tensor([8, 2, 3, 4, 1, 1, 1]					)
							__magic_name__     :  Optional[Any]  		=   torch.tensor([1, 1, 1, 1, 0, 0, 0]					)
							np.testing.assert_array_equal(build_mask(lowerCAmelCase_     ,  1					).numpy()     ,  expected.numpy()					)







	def      __magic_name__							(							self					)				-> Dict:
							__magic_name__     :  Union[str, Any]  		=   1_01
							__magic_name__     :  Any  		=   torch.tensor([[1, 2, 3, 4, 5, 6], [1, 2, 3, 1_01, 5, 6], [1, 1_01, 3, 4, 1_01, 6]]					)
							__magic_name__     :  str  		=   torch.tensor([[1, 1, 1, 1, 1, 1], [1, 1, 1, 0, 0, 0], [1, 0, 0, 0, 1, 1]]					)

							__magic_name__     :  Optional[Any]  		=   compute_token_type_ids(lowerCAmelCase_     ,  lowerCAmelCase_					)
							np.testing.assert_array_equal(lowerCAmelCase_     ,  lowerCAmelCase_					)








"""simple docstring"""
def       __UpperCamelCase						(		snake_case__ = 200       ):
	A_		:    Union[str, Any]						     = [1, 2, 5, 10, 20, 50, 100, 200]
	A_		:    int						     = [0] * (pence + 1)
	A_		:    Tuple						     = 1  # base case: 1 way to make 0 pence

	for coin in coins:
		for i in range(snake_case__ , pence + 1 , 1       ):
			number_of_ways[i] += number_of_ways[i - coin]
	return number_of_ways[pence]


if __name__ == "__main__":
							assert solution(200) == 73_682

