import numpy as np

_SCREAMING_SNAKE_CASE 		=      [
    ["""a""", """b""", """c""", """d""", """e"""],
    ["""f""", """g""", """h""", """i""", """k"""],
    ["""l""", """m""", """n""", """o""", """p"""],
    ["""q""", """r""", """s""", """t""", """u"""],
    ["""v""", """w""", """x""", """y""", """z"""],
]
class SCREAMING_SNAKE_CASE_		:







   def __init__(     self						:						List[str]				):





    """simple docstring"""


    UpperCamelCase			  =      np.array(lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						List[str]   ,   lowerCamelCase_						:						Any				):





    """simple docstring"""


    UpperCamelCase			  =      np.where(letter == self.SQUARE				)
    UpperCamelCase			  =      np.concatenate([indexa + 1, indexa + 1]				)
    return indexes







   def 						lowerCamelCase_	(     self						:						Dict   ,   lowerCamelCase_						:						str   ,   lowerCamelCase_						:						Tuple				):





    """simple docstring"""


    UpperCamelCase			  =      self.SQUARE[indexa - 1, indexa - 1]
    return letter







   def 						lowerCamelCase_	(     self						:						int   ,   lowerCamelCase_						:						Optional[Any]				):





    """simple docstring"""


    UpperCamelCase			  =      message.lower()
    UpperCamelCase			  =      message.replace(""" """   ,   """"""				)
    UpperCamelCase			  =      message.replace("""j"""   ,   """i"""				)

    UpperCamelCase			  =      np.empty((2, len(lowerCamelCase_				))				)
    for letter_index in range(len(lowerCamelCase_				)				):
     UpperCamelCase			  =      self.letter_to_numbers(message[letter_index]				)

     UpperCamelCase			  =      numbers[0]
     UpperCamelCase			  =      numbers[1]

    UpperCamelCase			  =      first_step.reshape(2 * len(lowerCamelCase_				)				)
    UpperCamelCase			  =      ''
    for numbers_index in range(len(lowerCamelCase_				)				):
     UpperCamelCase			  =      int(second_step[numbers_index * 2]				)
     UpperCamelCase			  =      int(second_step[(numbers_index * 2) + 1]				)
     UpperCamelCase			  =      self.numbers_to_letter(lowerCamelCase_   ,   lowerCamelCase_				)
     UpperCamelCase			  =      encoded_message + letter

    return encoded_message







   def 						lowerCamelCase_	(     self						:						Optional[Any]   ,   lowerCamelCase_						:						Optional[Any]				):





    """simple docstring"""


    UpperCamelCase			  =      message.lower()
    message.replace(""" """   ,   """"""				)
    UpperCamelCase			  =      np.empty(2 * len(lowerCamelCase_				)				)
    for letter_index in range(len(lowerCamelCase_				)				):
     UpperCamelCase			  =      self.letter_to_numbers(message[letter_index]				)
     UpperCamelCase			  =      numbers[0]
     UpperCamelCase			  =      numbers[1]

    UpperCamelCase			  =      first_step.reshape((2, len(lowerCamelCase_				))				)
    UpperCamelCase			  =      ''
    for numbers_index in range(len(lowerCamelCase_				)				):
     UpperCamelCase			  =      int(second_step[0, numbers_index]				)
     UpperCamelCase			  =      int(second_step[1, numbers_index]				)
     UpperCamelCase			  =      self.numbers_to_letter(lowerCamelCase_   ,   lowerCamelCase_				)
     UpperCamelCase			  =      decoded_message + letter

    return decoded_message






'''simple docstring'''



from collections import defaultdict

from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst




def   lowercase__(			):

      """simple docstring"""






      SCREAMING_SNAKE_CASE					,    SCREAMING_SNAKE_CASE   :      str    					=						9, 14  # noqa: F841
      SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						[
          [0, 1, 4],
          [0, 7, 8],
          [1, 2, 8],
          [7, 8, 7],
          [7, 6, 1],
          [2, 8, 2],
          [8, 6, 6],
          [2, 3, 7],
          [2, 5, 4],
          [6, 5, 2],
          [3, 5, 14],
          [3, 4, 9],
          [5, 4, 10],
          [1, 7, 11],
      ]

      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						defaultdict(__UpperCamelCase    )
      for nodea, nodea, cost in edges:
            adjancency[nodea].append([nodea, cost]    )
            adjancency[nodea].append([nodea, cost]    )

      SCREAMING_SNAKE_CASE   :      Dict    					=						mst(__UpperCamelCase    )

      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						[
          [7, 6, 1],
          [2, 8, 2],
          [6, 5, 2],
          [0, 1, 4],
          [2, 5, 4],
          [2, 3, 7],
          [0, 7, 8],
          [3, 4, 9],
      ]

      for answer in expected:
            SCREAMING_SNAKE_CASE   :      Any    					=						tuple(answer[:2]    )
            SCREAMING_SNAKE_CASE   :      List[Any]    					=						tuple(edge[::-1]    )
            assert edge in result or reverse in result


