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Adjacent products being negative means the signs must alternate. Also, every element is nonzero, so every absolute value is at least .
To be lexicographically smallest, try to make as small as possible. fails immediately because the next element must be negative and becomes impossible with . So the best start is .
Once you start with , the signs are forced: negative, positive, negative, positive, ... The negative positions should be as small as possible, so they should all be unless some condition forces otherwise.
Now ask how large a positive element must be. Since it sits next to one or two values, length- subarrays only force it to be at least , but length- subarrays of the form force .
The array works for every : every length- sum is , every length- sum is , and longer subarrays are made from these positive chunks. Then prove lexicographic optimality by showing odd positions cannot beat , and every even position must be at least because of the surrounding length- subarray.
We need build the lexicographically smallest absolute-value sequence among all good arrays. The annoying-looking “all subarrays” condition is actually pretty tame once the signs are pinned down.
Step 1: The first element
Because adjacent products must be negative, all elements are nonzero and signs alternate.
So for every .
Can we make ? There are two sign choices:
So the lexicographically best possible start is forced:
No drama, just math doing a quick mugging.
Step 2: The signs are forced
Since signs alternate and is negative, the whole sign pattern is forced:
Now we want absolute values as small as possible from left to right.
At every odd position, the value is negative, and the smallest possible absolute value is . So the natural candidate is:
This is obviously best if it works, because you cannot have absolute value below .
Step 3: What should positive positions be?
Look at an even position . It is positive.
If has both neighbors, then the length- subarray around it is:
Its sum must be positive:
So:
Since is an integer,
That means every “middle” positive element must be at least .
What about the last element if is even? It has only one negative neighbor, so length- would only require it to be at least . But lexicographic order matters earlier first: every earlier even position with two neighbors already needs to be . For , the answer is just . For larger even , we should check whether the final positive can be .
Example ending with seems locally fine. But consider a longer suffix like:
Its sum is , positive. So the last positive really can be when it is the final element.
So the optimal pattern is:
That gives:
but with the last value changed to if the array ends on a positive position.
For example:
Step 4: Why every subarray sum is positive
We need prove this construction works for all subarrays of length at least .
The array consists of alternating and positive values, where every positive value is either or, only at the very end, .
Any adjacent pair has sum:
or possibly at the end:
So every length- subarray is positive.
For longer subarrays, group the terms into adjacent pairs. Each full pair contributes positively. If there is one leftover element, it depends on the subarray length:
A more direct way: the worst case is when a subarray starts and ends with , because that includes one more negative than positive. Then its sum looks like:
With positive 's and negative 's, the sum is:
Since the subarray length is at least , we have , so:
If the subarray includes the final instead of a , it cannot also have a negative after it, because that is the last element. Pair it with the preceding , giving contribution , still positive.
So all subarrays of length at least have positive sum.
Step 5: Why it is lexicographically optimal
Now prove nobody can beat it.
so .
Thus every even position before the end must have absolute value at least .
If is even, the final position only needs to satisfy:
so , and is achievable.
Therefore the lexicographically smallest absolute values are exactly:
with the last value changed from to if is even.
So output:
That is the whole trick. Tiny construction, but the last even position being is the little trap waiting to slap lazy pattern-matching code.
#include <bits/stdc++.h>
using namespace std;
using ll = long long;
void setIO() {
ios::sync_with_stdio(false);
cin.tie(nullptr);
}
int main() {
setIO();
int t;
cin >> t;
while (t--) {
int n;
cin >> n;
for (int i = 1; i <= n; i++) {
if (i % 2 == 1) cout << -1;
else if (i == n) cout << 2;
else cout << 3;
cout << (i == n ? '\n' : ' ');
}
}
return 0;
}#include <bits/stdc++.h>
using namespace std;
using ll = long long;
void setIO() {
ios::sync_with_stdio(false);
cin.tie(nullptr);
}
int main() {
setIO();
int t;
cin >> t;
while (t--) {
int n;
cin >> n;
for (int i = 1; i <= n; i++) {
if (i % 2 == 1) cout << -1;
else if (i == n) cout << 2;
else cout << 3;
cout << (i == n ? '\n' : ' ');
}
}
return 0;
}