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2169. Count Operations to Obtain Zero
Description
You are given two non-negative integers num1 and num2.
In one operation, if num1 >= num2, you must subtract num2 from num1, otherwise subtract num1 from num2.
- For example, if
num1 = 5andnum2 = 4, subtractnum2fromnum1, thus obtainingnum1 = 1andnum2 = 4. However, ifnum1 = 4andnum2 = 5, after one operation,num1 = 4andnum2 = 1.
Return the number of operations required to make either num1 = 0 or num2 = 0.
Example 1:
Input: num1 = 2, num2 = 3 Output: 3 Explanation: - Operation 1: num1 = 2, num2 = 3. Since num1 < num2, we subtract num1 from num2 and get num1 = 2, num2 = 3 - 2 = 1. - Operation 2: num1 = 2, num2 = 1. Since num1 > num2, we subtract num2 from num1. - Operation 3: num1 = 1, num2 = 1. Since num1 == num2, we subtract num2 from num1. Now num1 = 0 and num2 = 1. Since num1 == 0, we do not need to perform any further operations. So the total number of operations required is 3.
Example 2:
Input: num1 = 10, num2 = 10 Output: 1 Explanation: - Operation 1: num1 = 10, num2 = 10. Since num1 == num2, we subtract num2 from num1 and get num1 = 10 - 10 = 0. Now num1 = 0 and num2 = 10. Since num1 == 0, we are done. So the total number of operations required is 1.
Constraints:
0 <= num1, num2 <= 105
Solutions
Solution 1: Simulation
We can directly simulate this process by repeatedly performing the following operations:
- If $\textit{num1} \ge \textit{num2}$, then $\textit{num1} = \textit{num1} - \textit{num2}$;
- Otherwise, $\textit{num2} = \textit{num2} - \textit{num1}$.
- Each time an operation is performed, increment the operation count by one.
When either $\textit{num1}$ or $\textit{num2}$ becomes $0$, stop the loop and return the operation count.
The time complexity is $O(m)$, where $m$ is the maximum of $\textit{num1}$ and $\textit{num2}$. The space complexity is $O(1)$.
Solution 2: Mathematics
Following the simulation process in Solution 1, we notice that if $\textit{num1}$ is much larger than $\textit{num2}$, each operation will only reduce the value of $\textit{num1}$ slightly, leading to an excessive number of operations. We can optimize this process by directly adding the quotient of $\textit{num1}$ divided by $\textit{num2}$ to the answer in each operation, then taking the remainder of $\textit{num1}$ divided by $\textit{num2}$. This reduces the number of operations.
The time complexity is $O(\log m)$, where $m$ is the maximum of $\textit{num1}$ and $\textit{num2}$. The space complexity is $O(1)$.
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class Solution { public int countOperations(int num1, int num2) { int ans = 0; while (num1 != 0 && num2 != 0) { if (num1 >= num2) { num1 -= num2; } else { num2 -= num1; } ++ans; } return ans; } } // Solution 2 class Solution { public int countOperations(int num1, int num2) { int ans = 0; while (num1 != 0 && num2 != 0) { if (num1 >= num2) { ans += num1 / num2; num1 %= num2; } else { ans += num2 / num1; num2 %= num1; } } return ans; } } -
class Solution { public: int countOperations(int num1, int num2) { int ans = 0; while (num1 && num2) { if (num1 > num2) swap(num1, num2); num2 -= num1; ++ans; } return ans; } }; // Solution 2 class Solution { public: int countOperations(int num1, int num2) { int ans = 0; while (num1 && num2) { if (num1 >= num2) { ans += num1 / num2; num1 %= num2; } else { ans += num2 / num1; num2 %= num1; } } return ans; } }; -
class Solution: def countOperations(self, num1: int, num2: int) -> int: ans = 0 while num1 and num2: if num1 >= num2: num1, num2 = num2, num1 num2 -= num1 ans += 1 return ans # Solution 2 class Solution: def countOperations(self, num1: int, num2: int) -> int: ans = 0 while num1 and num2: if num1 >= num2: ans += num1 // num2 num1 %= num2 else: ans += num2 // num1 num2 %= num1 return ans -
func countOperations(num1 int, num2 int) int { ans := 0 for num1 != 0 && num2 != 0 { if num1 > num2 { num1, num2 = num2, num1 } num2 -= num1 ans++ } return ans } // Solution 2 func countOperations(num1 int, num2 int) (ans int) { for num1 != 0 && num2 != 0 { if num1 >= num2 { ans += num1 / num2 num1 %= num2 } else { ans += num2 / num1 num2 %= num1 } } return } -
function countOperations(num1: number, num2: number): number { let ans = 0; while (num1 && num2) { [num1, num2] = [Math.min(num1, num2), Math.abs(num1 - num2)]; ans++; } return ans; } // Solution 2 function countOperations(num1: number, num2: number): number { let ans = 0; while (num1 && num2) { if (num1 >= num2) { ans += (num1 / num2) | 0; num1 %= num2; } else { ans += (num2 / num1) | 0; num2 %= num1; } } return ans; } -
/** * @param {number} num1 * @param {number} num2 * @return {number} */ var countOperations = function (num1, num2) { let ans = 0; for (; num1 && num2; ++ans) { if (num1 >= num2) { num1 -= num2; } else { num2 -= num1; } } return ans; }; // Solution 2 /** * @param {number} num1 * @param {number} num2 * @return {number} */ var countOperations = function (num1, num2) { let ans = 0; while (num1 && num2) { if (num1 >= num2) { ans += (num1 / num2) | 0; num1 %= num2; } else { ans += (num2 / num1) | 0; num2 %= num1; } } return ans; }; -
impl Solution { pub fn count_operations(mut num1: i32, mut num2: i32) -> i32 { let mut ans = 0; while num1 != 0 && num2 != 0 { ans += 1; if num1 >= num2 { num1 -= num2; } else { num2 -= num1; } } ans } } // Solution 2 impl Solution { pub fn count_operations(mut num1: i32, mut num2: i32) -> i32 { let mut ans = 0; while num1 != 0 && num2 != 0 { if num1 >= num2 { ans += num1 / num2; num1 %= num2; } else { ans += num2 / num1; num2 %= num1; } } ans } }