Description
You are given two jugs with capacities x liters and y liters. You have an infinite water supply. Return whether the total amount of water in both jugs may reach target using the following operations:
- Fill either jug completely with water.
- Completely empty either jug.
- Pour water from one jug into another until the receiving jug is full, or the transferring jug is empty.
Example 1:
Input: x = 3, y = 5, target = 4
Output: true
Explanation:
Follow these steps to reach a total of 4 liters:
- Fill the 5-liter jug (0, 5).
- Pour from the 5-liter jug into the 3-liter jug, leaving 2 liters (3, 2).
- Empty the 3-liter jug (0, 2).
- Transfer the 2 liters from the 5-liter jug to the 3-liter jug (2, 0).
- Fill the 5-liter jug again (2, 5).
- Pour from the 5-liter jug into the 3-liter jug until the 3-liter jug is full. This leaves 4 liters in the 5-liter jug (3, 4).
- Empty the 3-liter jug. Now, you have exactly 4 liters in the 5-liter jug (0, 4).
Reference: The Die Hard example.
Example 2:
Input: x = 2, y = 6, target = 5
Output: false
Example 3:
Input: x = 1, y = 2, target = 3
Output: true
Explanation: Fill both jugs. The total amount of water in both jugs is equal to 3 now.
Constraints:
1 <= x, y, target <= 103
Solutions
Solution 1: DFS
Let's denote jug1Capacity as x, jug2Capacity as y, and targetCapacity as z.
Next, we design a function dfs(i, j), which represents whether we can get z liters of water when there are i liters of water in jug1 and j liters of water in jug2.
The execution process of the function dfs(i, j) is as follows:
- If (i, j) has been visited, return false.
- If i = z or j = z or i + j = z, return true.
- If we can get z liters of water by filling jug1 or jug2, or emptying jug1 or jug2, return true.
- If we can get z liters of water by pouring water from jug1 into jug2, or pouring water from jug2 into jug1, return true.
The answer is dfs(0, 0).
The time complexity is O(x + y), and the space complexity is O(x + y). Here, x and y are the sizes of jug1Capacity and jug2Capacity respectively.
class Solution: def canMeasureWater(self, x: int, y: int, z: int) -> bool: def dfs(i: int, j: int) -> bool: if (i, j) in vis: return False vis.add((i, j)) if i == z or j == z or i + j == z: return True if dfs(x, j) or dfs(i, y) or dfs(0, j) or dfs(i, 0): return True a = min(i, y - j) b = min(j, x - i) return dfs(i - a, j + a) or dfs(i + b, j - b) vis = set() return dfs(0, 0)(code-box)
