


def 	A (		A__		,		A__		,		A__		,		A__		,		A__		,		A__		,		):
     UpperCAmelCase    :					Union[str, Any]			=      list(A__			)
     UpperCAmelCase    :					Tuple			=      list(A__			)
     UpperCAmelCase    :					Optional[Any]			=      len(A__			)
     UpperCAmelCase    :					int			=      len(A__			)

     UpperCAmelCase    :					Optional[int]			=      [
         [0 for _ in range(len_destination_seq + 1			)] for _ in range(len_source_seq + 1			)
     ]
     UpperCAmelCase    :					Any			=      [
         ["0" for _ in range(len_destination_seq + 1			)] for _ in range(len_source_seq + 1			)
     ]

     for i in range(1		,		len_source_seq + 1			):
          UpperCAmelCase    :					Any			=      i * delete_cost
          UpperCAmelCase    :					Optional[int]			=      f'D{source_seq[i - 1]:c}'

     for i in range(1		,		len_destination_seq + 1			):
          UpperCAmelCase    :					Union[str, Any]			=      i * insert_cost
          UpperCAmelCase    :					Tuple			=      f'I{destination_seq[i - 1]:c}'

     for i in range(1		,		len_source_seq + 1			):
          for j in range(1		,		len_destination_seq + 1			):
               if source_seq[i - 1] == destination_seq[j - 1]:
                    UpperCAmelCase    :					Optional[int]			=      costs[i - 1][j - 1] + copy_cost
                    UpperCAmelCase    :					Union[str, Any]			=      f'C{source_seq[i - 1]:c}'
               else:
                    UpperCAmelCase    :					Union[str, Any]			=      costs[i - 1][j - 1] + replace_cost
                    UpperCAmelCase    :					Any			=      f'R{source_seq[i - 1]:c}' + str(destination_seq[j - 1]			)

               if costs[i - 1][j] + delete_cost < costs[i][j]:
                    UpperCAmelCase    :					List[str]			=      costs[i - 1][j] + delete_cost
                    UpperCAmelCase    :					List[str]			=      f'D{source_seq[i - 1]:c}'

               if costs[i][j - 1] + insert_cost < costs[i][j]:
                    UpperCAmelCase    :					Dict			=      costs[i][j - 1] + insert_cost
                    UpperCAmelCase    :					Optional[Any]			=      f'I{destination_seq[j - 1]:c}'

     return costs, ops







def 	A (		A__		,		A__		,		A__			):
     if i == 0 and j == 0:
          return []
     else:
          if ops[i][j][0] == "C" or ops[i][j][0] == "R":
               UpperCAmelCase    :					List[Any]			=      assemble_transformation(A__		,		i - 1		,		j - 1			)
               seq.append(ops[i][j]			)
               return seq
          elif ops[i][j][0] == "D":
               UpperCAmelCase    :					Optional[Any]			=      assemble_transformation(A__		,		i - 1		,		A__			)
               seq.append(ops[i][j]			)
               return seq
          else:
               UpperCAmelCase    :					List[Any]			=      assemble_transformation(A__		,		A__		,		j - 1			)
               seq.append(ops[i][j]			)
               return seq


if __name__ == "__main__":
      _snake_case			,    _snake_case				=			compute_transform_tables("Python", "Algorithms", -1, 1, 2, 2)

      _snake_case				=			len(operations)
      _snake_case				=			len(operations[0])
      _snake_case				=			assemble_transformation(operations, m - 1, n - 1)

      _snake_case				=			list("Python")
      _snake_case				=			0
      _snake_case				=			0

      with open("min_cost.txt", "w") as file:
            for op in sequence:
                  print("".join(string))

                  if op[0] == "C":
                        file.write("%-16s" % "Copy %c" % op[1])
                        file.write("\t\t\t" + "".join(string))
                        file.write("\r\n")

                        cost -= 1
                  elif op[0] == "R":
                        _snake_case				=			op[2]

                        file.write("%-16s" % ("Replace %c" % op[1] + " with " + str(op[2])))
                        file.write("\t\t" + "".join(string))
                        file.write("\r\n")

                        cost += 1
                  elif op[0] == "D":
                        string.pop(i)

                        file.write("%-16s" % "Delete %c" % op[1])
                        file.write("\t\t\t" + "".join(string))
                        file.write("\r\n")

                        cost += 2
                  else:
                        string.insert(i, op[1])

                        file.write("%-16s" % "Insert %c" % op[1])
                        file.write("\t\t\t" + "".join(string))
                        file.write("\r\n")

                        cost += 2

                  i += 1

            print("".join(string))
            print("Cost: ", cost)

            file.write("\r\nMinimum cost: " + str(cost))







from __future__ import annotations







def 	A (		A__		,		A__		,		A__		,		A__			):

     # Base Case
     if counter == 0 or capacity == 0:
          return 0

     # If weight of the nth item is more than Knapsack of capacity,
     #   then this item cannot be included in the optimal solution,
     # else return the maximum of two cases:
     #   (1) nth item included
     #   (2) not included
     if weights[counter - 1] > capacity:
          return knapsack(A__		,		A__		,		A__		,		counter - 1			)
     else:
          UpperCAmelCase    :					List[str]			=      capacity - weights[counter - 1]
          UpperCAmelCase    :					Tuple			=      values[counter - 1] + knapsack(
              A__		,		A__		,		A__		,		counter - 1			)
          UpperCAmelCase    :					Optional[int]			=      knapsack(A__		,		A__		,		A__		,		counter - 1			)
          return max(A__		,		A__			)


if __name__ == "__main__":
      import doctest

      doctest.testmod()



