1345-jump-game-iv¶
Try it on leetcode
Description¶
Given an array of integers arr
, you are initially positioned at the first index of the array.
In one step you can jump from index i
to index:
i + 1
where:i + 1 < arr.length
.i - 1
where:i - 1 >= 0
.j
where:arr[i] == arr[j]
andi != j
.
Return the minimum number of steps to reach the last index of the array.
Notice that you can not jump outside of the array at any time.
Example 1:
Input: arr = [100,-23,-23,404,100,23,23,23,3,404] Output: 3 Explanation: You need three jumps from index 0 --> 4 --> 3 --> 9. Note that index 9 is the last index of the array.
Example 2:
Input: arr = [7] Output: 0 Explanation: Start index is the last index. You do not need to jump.
Example 3:
Input: arr = [7,6,9,6,9,6,9,7] Output: 1 Explanation: You can jump directly from index 0 to index 7 which is last index of the array.
Constraints:
1 <= arr.length <= 5 * 104
-108 <= arr[i] <= 108
Solution(Python)¶
class Solution:
def minJumps(self, arr: List[int]) -> int:
n = len(arr)
if n <= 1:
return 0
graph = {}
for i in range(n):
if arr[i] in graph:
graph[arr[i]].append(i)
else:
graph[arr[i]] = [i]
curs = [0] # store current layers
visited = {0}
step = 0
# when current layer exists
while curs:
nex = []
# iterate the layer
for node in curs:
# check if reached end
if node == n - 1:
return step
# check same value
for child in graph[arr[node]]:
if child not in visited:
visited.add(child)
nex.append(child)
# clear the list to prevent redundant search
graph[arr[node]].clear()
# check neighbors
for child in [node - 1, node + 1]:
if 0 <= child < len(arr) and child not in visited:
visited.add(child)
nex.append(child)
curs = nex
step += 1
return -1