- Find the nearest clone

# Find the nearest clone

# Find the nearest clone

In this challenge, there is a connected undirected graph where each of the nodes is a color. Given a color, find the shortest path connecting any two nodes of that color. Each edge has a weight of . If there is not a pair or if the color is not found, print .

For example, given , and edges and and colors for each node are we can draw the following graph:

Each of the nodes is labeled [node]/[color] and is colored appropriately. If we want the shortest path between color , blue, we see there is a direct path between nodes and . For green, color , we see the path length from . There is no pair for node having color , red.

**Function Description**

Complete the *findShortest* function in the editor below. It should return an integer representing the length of the shortest path between two nodes of the same color, or if it is not possible.

findShortest has the following parameter(s):

*g_nodes*: an integer, the number of nodes*g_from*: an array of integers, the start nodes for each edge*g_to*: an array of integers, the end nodes for each edge*ids*: an array of integers, the color id per node*val*: an integer, the id of the color to match

**Input Format**

The first line contains two space-separated integers and , the number of nodes and edges in the graph.

Each of the next lines contains two space-separated integers and , the nodes connected by an edge.

The next line contains space-seperated integers, , representing the color id of each node from to .

The last line contains the id of the color to analyze.

**Note:** The nodes are indexed from to .

**Constraints**

**Output Format**

Print the single integer representing the smallest path length or .

**Sample Input 0**

```
4 3
1 2
1 3
4 2
1 2 1 1
1
```

**Sample Output 0**

```
1
```

**Explanation 0**

In the above image the distance between the closest nodes having color label is .

**Sample Input 1**

```
4 3
1 2
1 3
4 2
1 2 3 4
2
```

**Sample Output 1**

```
-1
```

**Explanation 1**

**Sample Input 2**

```
5 4
1 2
1 3
2 4
3 5
1 2 3 3 2
2
```

**Sample Output 2**

```
3
```

**Explanation 2**