Description
A good meal is a meal that contains exactly two different food items with a sum of deliciousness equal to a power of two.
You can pick any two different foods to make a good meal.
Given an array of integers deliciousness where deliciousness[i] is the deliciousness of the ith item of food, return the number of different good meals you can make from this list modulo 109 + 7.
Note that items with different indices are considered different even if they have the same deliciousness value.
Example 1:
Input: deliciousness = [1,3,5,7,9] Output: 4 Explanation: The good meals are (1,3), (1,7), (3,5) and, (7,9). Their respective sums are 4, 8, 8, and 16, all of which are powers of 2.
Example 2:
Input: deliciousness = [1,1,1,3,3,3,7] Output: 15 Explanation: The good meals are (1,1) with 3 ways, (1,3) with 9 ways, and (1,7) with 3 ways.
Constraints:
1 <= deliciousness.length <= 1050 <= deliciousness[i] <= 220
Solutions
Solution 1: Hash Table + Enumeration of Powers of Two
According to the problem, we need to count the number of combinations in the array where the sum of two numbers is a power of 2. Directly enumerating all combinations has a time complexity of O(n2), which will definitely time out.
We can traverse the array and use a hash table cnt to maintain the number of occurrences of each element d in the array.
For each element, we enumerate the powers of two s as the sum of two numbers from small to large, and add the number of occurrences of s - d in the hash table to the answer. Then increase the number of occurrences of the current element d by one.
After the traversal ends, return the answer.
The time complexity is O(n × log M), where n is the length of the array deliciousness, and M is the upper limit of the elements. For this problem, the upper limit M=220.
We can also use a hash table cnt to count the number of occurrences of each element in the array first.
Then enumerate the powers of two s as the sum of two numbers from small to large. For each s, traverse each key-value pair (a, m) in the hash table. If s - a is also in the hash table, and s - a ≠ a, then add m × cnt[s - a] to the answer; if s - a = a, then add m × (m - 1) to the answer.
Finally, divide the answer by 2, modulo 109 + 7, and return.
The time complexity is the same as the method above.
class Solution: def countPairs(self, deliciousness: List[int]) -> int: mod = 10**9 + 7 mx = max(deliciousness) << 1 cnt = Counter() ans = 0 for d in deliciousness: s = 1 while s <= mx: ans = (ans + cnt[s - d]) % mod s <<= 1 cnt[d] += 1 return ans(code-box)
Solution 2
class Solution: def countPairs(self, deliciousness: List[int]) -> int: mod = 10**9 + 7 cnt = Counter(deliciousness) ans = 0 for i in range(22): s = 1 << i for a, m in cnt.items(): if (b := s - a) in cnt: ans += m * (m - 1) if a == b else m * cnt[b] return (ans >> 1) % mod(code-box)
