




class 			lowerCamelCase_				:


 '''simple docstring'''







 def __init__(				self    :						str		):
       SCREAMING_SNAKE_CASE_      		=     {}



 def  lowerCAmelCase_    (				self    :						List[str]		):
       print(self.vertex		)
       for i in self.vertex:
             print(_lowerCAmelCase							,							' -> '							,							' -> '.join([str(_lowerCAmelCase		) for j in self.vertex[i]]		)		)



 def  lowerCAmelCase_    (				self    :						Union[str, Any]							,							_lowerCAmelCase    :						int							,							_lowerCAmelCase    :						int		):
       # check if vertex is already present,
       if from_vertex in self.vertex:
             self.vertex[from_vertex].append(_lowerCAmelCase		)
       else:
             # else make a new vertex
             SCREAMING_SNAKE_CASE_      		=     [to_vertex]



 def  lowerCAmelCase_    (				self    :						Optional[Any]		):
       # visited array for storing already visited nodes
       SCREAMING_SNAKE_CASE_      		=     [False] * len(self.vertex		)

       # call the recursive helper function
       for i in range(len(self.vertex		)		):
             if not visited[i]:
                   self.dfs_recursive(_lowerCAmelCase							,							_lowerCAmelCase		)




 def  lowerCAmelCase_    (				self    :						Tuple							,							_lowerCAmelCase    :						int							,							_lowerCAmelCase    :						list		):
       # mark start vertex as visited
       SCREAMING_SNAKE_CASE_      		=     True

       print(_lowerCAmelCase							,							end=' '		)

       # Recur for all the vertices that are adjacent to this node
       for i in self.vertex:
             if not visited[i]:
                   self.dfs_recursive(_lowerCAmelCase							,							_lowerCAmelCase		)


if __name__ == "__main__":
   lowerCamelCase__					:  List[Any]      							=				Graph()
   g.add_edge(0, 1)
   g.add_edge(0, 2)
   g.add_edge(1, 2)
   g.add_edge(2, 0)
   g.add_edge(2, 3)
   g.add_edge(3, 3)

   g.print_graph()
   print('DFS:')
   g.dfs()

   # OUTPUT:
   # 0  ->  1 -> 2
   # 1  ->  2
   # 2  ->  0 -> 3
   # 3  ->  3
   # DFS:
   #  0 1 2 3


"""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       lowerCamelCase	(       unittest.TestCase   ):


  '''simple docstring'''







  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    10



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    [1, 2, 3, 4]
        UpperCAmelCase__			:							Tuple							=    [1, 2, 3, 4, 0, 0, 0, 0, 0, 0]
        self.assertEqual(truncate_or_pad(_lowerCamelCase							,       self.block_size							,       0	)							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

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



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Tuple							=    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
        UpperCAmelCase__			:							Dict							=    [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
        self.assertEqual(truncate_or_pad(_lowerCamelCase							,       self.block_size							,       0	)							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							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."""
        UpperCAmelCase__					,		UpperCAmelCase__			:							Any							=    process_story(_lowerCamelCase	)
        self.assertEqual(_lowerCamelCase							,       []	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							str							=    """"""
        UpperCAmelCase__					,		UpperCAmelCase__			:							List[Any]							=    process_story(_lowerCamelCase	)
        self.assertEqual(_lowerCamelCase							,       []	)
        self.assertEqual(_lowerCamelCase							,       []	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							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.\n@highlight\n\nIt was the best of times"""
        )
        UpperCAmelCase__					,		UpperCAmelCase__			:							Optional[Any]							=    process_story(_lowerCamelCase	)

        UpperCAmelCase__			:							List[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	)

        UpperCAmelCase__			:							List[Any]							=    ["""It was the best of times."""]
        self.assertEqual(_lowerCamelCase							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							str							=    torch.tensor([1, 2, 3, 4]	)
        UpperCAmelCase__			:							str							=    torch.tensor([1, 1, 1, 1]	)
        np.testing.assert_array_equal(build_mask(_lowerCamelCase							,       0	).numpy()							,       expected.numpy()	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    torch.tensor([1, 2, 3, 4, 23, 23, 23]	)
        UpperCAmelCase__			:							Union[str, Any]							=    torch.tensor([1, 1, 1, 1, 0, 0, 0]	)
        np.testing.assert_array_equal(build_mask(_lowerCamelCase							,       23	).numpy()							,       expected.numpy()	)



  def  _a      (self	):


        """simple docstring"""

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




  def  _a      (self	):


        """simple docstring"""

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

        UpperCAmelCase__			:							int							=    compute_token_type_ids(_lowerCamelCase							,       _lowerCamelCase	)
        np.testing.assert_array_equal(_lowerCamelCase							,       _lowerCamelCase	)

