Problem:
Score : 600 points

Problem Statement

Snuke, a water strider, lives in a rectangular pond that can be seen as a grid with H east-west rows and W north-south columns. Let (i,j) be the square at the i-th row from the north and j-th column from the west.

Some of the squares have a lotus leaf on it and cannot be entered.
The square (i,j) has a lotus leaf on it if c_{ij} is @, and it does not if c_{ij} is ..

In one stroke, Snuke can move between 1 and K squares (inclusive) toward one of the four directions: north, east, south, and west.
The move may not pass through a square with a lotus leaf. Moving to such a square or out of the pond is also forbidden.

Find the minimum number of strokes Snuke takes to travel from the square (x_1,y_1) to (x_2,y_2).
If the travel from (x_1,y_1) to (x_2,y_2) is impossible, point out that fact.

Constraints

1 \leq H,W,K \leq 10^6

H \times W \leq 10^6

1 \leq x_1,x_2 \leq H

1 \leq y_1,y_2 \leq W

x_1 \neq x_2 or y_1 \neq y_2.

c_{i,j} is . or @.

c_{x_1,y_1} = .

c_{x_2,y_2} = .

All numbers in input are integers.

Input

Input is given from Standard Input in the following format:

H W K
x_1 y_1 x_2 y_2
c_{1,1}c_{1,2} .. c_{1,W}
c_{2,1}c_{2,2} .. c_{2,W}
:
c_{H,1}c_{H,2} .. c_{H,W}

Output

Print the minimum number of strokes Snuke takes to travel from the square (x_1,y_1) to (x_2,y_2), or print -1 if the travel is impossible.

Sample Input 1

3 5 2
3 2 3 4
.....
.@..@
..@..

Sample Output 1

5

Initially, Snuke is at the square (3,2).
He can reach the square (3, 4) by making five strokes as follows:

From (3, 2), go west one square to (3, 1).

From (3, 1), go north two squares to (1, 1).

From (1, 1), go east two squares to (1, 3).

From (1, 3), go east one square to (1, 4).

From (1, 4), go south two squares to (3, 4).

Sample Input 2

1 6 4
1 1 1 6
......

Sample Output 2

2

Sample Input 3

3 3 1
2 1 2 3
.@.
.@.
.@.

Sample Output 3

-1

Solution in Scala (2.13.1) (judge verdict: Time Limit Exceeded)

object Main extends App {
  val sc = new java.util.Scanner(System.in)
  val h, w, k = sc.nextInt()
  val x1, y1, x2, y2 = sc.nextInt()-1
  val c = Array.fill(h)(sc.next()).map(_.map(_ == '@').toArray)

  def compare(a: (Int, Int), b: (Int, Int)): Boolean = {
    if (a._1 == b._1) {
      a._2 < b._2
    } else {
      a._1 < b._1
    }
  }

  def shortestPath(sx: Int, sy: Int): Array[Array[Array[(Int, Int)]]] = {
    val sp = Array.fill(h, w, 4)((-1, 0))
    val dir = Array((1,0), (0,1), (-1,0), (0,-1))
    val heap = new BinaryHeap[(Int,Int,Int), (Int,Int)](4000000, compare)
    sp(sx)(sy)(0) = (0, 0)
    heap.add((sx, sy, 0), (0, 0))

    while (heap.nonEmpty) {
      val ((x1, y1, d1), (a, b)) = heap.pop()

      for (i <- -1 to 1) {
        val d2 = (d1+i+4) % 4
        val (x2, y2) = if (i == 0) {
          (x1 + dir(d2)._1, y1 + dir(d2)._2)
        } else {
          (x1, y1)
        }

        if (i != 0 || (0 <= x2 && x2 < h && 0 <= y2 && y2 < w && !c(x2)(y2))) {
          val costOld = sp(x2)(y2)(d2)
          val costNew = if (i == 0) {
            if (b == k-1) (a+1, 0) else (a, b+1)
          } else {
            if (b == 0) (a, 0) else (a+1, 0)
          }

          if (costOld._1 == -1) {
            sp(x2)(y2)(d2) = costNew
            heap.add((x2, y2, d2), costNew)
          } else if (compare(costNew, costOld)) {
            sp(x2)(y2)(d2) = costNew
            heap.upPriority((x2, y2, d2), costNew)
          }
        }
      }
    }
    sp
  }

  class BinaryHeap[A, P](maxSize: Int, comparator: (P, P) => Boolean) {
    private val heap = Array.ofDim[(A, P)](maxSize)
    private var indexMap = Map[A, Int]()

    var size = 0
    def isEmpty: Boolean = size == 0
    def nonEmpty: Boolean = !isEmpty

    private def par(idx: Int): Int = (idx - 1) / 2
    private def left(idx: Int): Int = 2 * idx + 1
    private def right(idx: Int): Int = 2 * idx + 2

    private def isRoot(idx: Int): Boolean = idx == 0
    private def hasLeft(idx: Int): Boolean = left(idx) < size
    private def hasRight(idx: Int): Boolean = right(idx) < size

    private def swap(i: Int, j: Int): Unit = {
      indexMap += heap(i)._1 -> j
      indexMap += heap(j)._1 -> i

      val t = heap(i)
      heap(i) = heap(j)
      heap(j) = t
    }

    private def upHeap(idx: Int): Unit = {
      if (!isRoot(idx) && comparator(heap(idx)._2, heap(par(idx))._2)) {
        swap(idx, par(idx))
        upHeap(par(idx))
      }
    }

    private def downHeap(idx: Int): Unit = {
      if (hasLeft(idx)) {
        val t = if (hasRight(idx) && comparator(heap(right(idx))._2, heap(left(idx))._2)) {
          right(idx)
        } else {
          left(idx)
        }
        if (comparator(heap(t)._2, heap(idx)._2)) {
          swap(idx, t)
          downHeap(t)
        }
      }
    }

    def add(a: A, p: P): Unit = {
      if (size >= maxSize) {
        throw new UnsupportedOperationException()
      } else {
        size += 1
        heap(size - 1) = (a, p)
        indexMap += a -> (size - 1)
        upHeap(size - 1)
      }
    }

    def pop(): (A, P) = {
      if (isEmpty) {
        throw new UnsupportedOperationException()
      } else {
        val head = heap(0)
        indexMap -= head._1
        heap(0) = heap(size - 1)
        size -= 1
        downHeap(0)
        head
      }
    }

    def upPriority(a: A, p: P): Unit = {
      val idx = indexMap(a)
      heap(idx) = (a, p)
      upHeap(idx)
    }
  }

  val sp = shortestPath(x1, y1)
  println(sp(x2)(y2).map{case (a, b) => a + (if (b == 0) 0 else 1)}.min)
}