This submission is migrated from previous version of oj.uz, which used different machine for grading. This submission may have different result if resubmitted.
/**
* Binary. Hmm, interesting. I started with [S2], which I solved with recursion in
* O(kq). The basic idea is to treat two 2^i biscuits in the bag as one 2^(i+1).
*
* A few greedy observations:
* (1) Given x, can we determine if it's possible? Well, we can simply iterate i
* from large to small. If the additional tastiness x we still need for a
* certain bag satisfies x >= 2^i, put a biscuit 2^i in the bag if there's one.
* (2) Biscuits of the same type can be distributed as evenly as possible, i.e.
* there is an optimal partition s.t. for every i
* |#2^i_biscuits_in_bag_1 - #2^i_biscuits_in_big_2| <= 1.
* (3) Unlike (1), (2), we consider from small to large. If x is odd, each bag needs
* at least 1 2^0 biscuit. After that, every 2 2^O biscuits can be grouped to
* form 1 2^1 biscuit, so we can add this num to the original num of 2^1
* biscuits. Well, let's write this recursively:
* def find():
* total = 0
* if #2^0 >= x:
* add floor((#2^0 - x) / 2) to #2^1 and recurse downdwards
* add floor(#2^0 / 2) to 2^1 and recurse downwards
* ...
*
* Can we AC this problem with (3)? I guess that the num of configurations given to
* find() isn't too many, so we can optimize it with memoization. Indeed, we can
* prove that in each level of find(), the num. of unique calls the next level of
* find() is bounded by x. This is because x >= x/2 + x/4 + x/8 + x/16 + .... [S1-3]
* are solved.
*
* In impl1, the function search(p, first) doesn't decrease as first increases.
* Furthermore, if search(p, w) and search(p, z) are both called, |w-z| <= x+2. (For
* each p, the val first only varies in a range with len <= x.) We can binary search
* for the largest / smallest value for first that attains a certain search(p, ..).
* I'm not sure about the actual num. of distinct values of search(p, ..), but I
* guess the num is <= 10. Let's give it a go
*
* Time Complexity: O(kq * log(x))
* Implementation 1.6 (Full solution (?!), greedy + binary search + maths)
*/
#include <bits/stdc++.h>
#include "biscuits.h"
typedef long long ll;
const ll INF = 0x3f3f3f3f3f3f3f3f;
ll wrap(int p, ll first); // wraper function for search()
ll search(int p, ll first);
ll x;
std::vector<ll> a;
std::vector<ll> upper, lower;
std::vector<std::map<ll, ll>> cache1;
std::vector<std::map<ll, ll, std::greater<ll>>> cache2;
// std::vector<std::vector<ll>> debug;
ll wrap(int p, ll first) {
auto v1 = cache1[p].lower_bound(first);
auto v2 = cache2[p].lower_bound(first);
if (v1 != cache1[p].end() && v2 != cache2[p].end()) {
if (v1->second == v2->second)
return v1->second;
}
ll val = search(p, first);
ll high = first, low = first;
for (ll step = x / 2 + 1; step >= 1; step /= 2) {
while (high + step <= upper[p] && search(p, high + step) == val)
high += step;
while (low - step >= lower[p] && search(p, low - step) == val)
low -= step;
}
cache1[p][high] = cache2[p][low] = val;
// debug[p].push_back(val);
return val;
}
ll search(int p, ll first) {
int k = a.size();
if (p == k - 1)
return first / x + 1;
ll total = wrap(p + 1, a[p + 1] + first / 2);
if (first >= x)
total += wrap(p + 1, a[p + 1] + (first - x) / 2);
return total;
}
ll count_tastiness(ll _x, std::vector<ll> _a) {
x = _x, a = _a;
int k = _a.size();
cache1.assign(k, std::map<ll, ll>());
cache2.assign(k, std::map<ll, ll, std::greater<ll>>());
upper.resize(k);
lower.resize(k);
for (ll i = 0, current = 0; i < k; i++) {
current += a[i];
upper[i] = current, lower[i] = std::max(upper[i] - (x + 2), ll(0));
current /= 2;
}
// debug.assign(k, std::vector<ll>());
return search(0, a[0]);
// for (int i = 0; i < k; i++) {
// std::cerr << "[debug] " << i << ": ";
// for (int v : debug[i])
// std::cerr << v << ' ';
// std::cerr << std::endl;
// }
}
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