A clear explanation of counting possible bulb states after pressing four toggle buttons exactly presses times.
Problem Restatement
There are n bulbs labeled from 1 to n.
All bulbs are initially on.
There are four buttons:
| Button | Operation |
|---|---|
| Button 1 | Flip all bulbs |
| Button 2 | Flip bulbs with even labels |
| Button 3 | Flip bulbs with odd labels |
| Button 4 | Flip bulbs with labels 3k + 1, such as 1, 4, 7, 10, ... |
We must press buttons exactly presses times.
For each press, we may choose any of the four buttons.
Return the number of different final bulb states possible. The problem statement defines the same four operations and asks for the number of possible states after exactly presses button presses.
Input and Output
| Item | Meaning |
|---|---|
| Input | Integers n and presses |
| Output | Number of possible final states |
| Initial state | All bulbs are on |
| Press rule | Exactly presses button presses |
| Repeated button | Allowed |
Example function shape:
def flipLights(n: int, presses: int) -> int:
...Examples
Consider:
n = 1
presses = 1There is only one bulb.
Possible final states are:
off
onSo the answer is:
2Button 1 flips the bulb off.
Button 2 flips even bulbs, but there are no even bulbs, so the bulb stays on.
Now consider:
n = 2
presses = 1Possible final states are:
off off
on off
off onSo the answer is:
3Now consider:
n = 3
presses = 1Possible final states are:
off off off
on off on
off on off
off on onSo the answer is:
4First Thought: Simulate Every Button Sequence
A direct approach is to generate all possible sequences of button presses.
At each press, we have four choices.
So for presses operations, the number of sequences is roughly:
4^pressesThis is too large when presses can be up to 1000.
We need to notice that many sequences produce the same final state.
Key Insight
Pressing the same button twice cancels itself.
For example, if a bulb is flipped twice, it returns to its original state.
So for each button, only the parity matters:
| Press count for a button | Effect |
|---|---|
| Even | Same as not pressing it |
| Odd | Same as pressing it once |
There are four buttons, so there are only:
2^4 = 16possible parity combinations.
That means we can enumerate all button subsets instead of all button sequences.
Why Only the First Three Bulbs Matter
The four operations repeat with period 6, but for this problem the number of distinct states is completely determined by the first min(n, 3) bulbs.
For the first three bulbs, the four buttons act like this:
| Button | Bulb 1 | Bulb 2 | Bulb 3 |
|---|---|---|---|
| Flip all | flip | flip | flip |
| Flip even | no | flip | no |
| Flip odd | flip | no | flip |
Flip 3k + 1 | flip | no | no |
These patterns are already enough to distinguish every possible state class.
So we can reduce:
n = min(n, 3)Then count possible states for only those bulbs.
Valid Button Subsets
A subset of buttons has size used.
It is possible after exactly presses presses when:
used <= pressesusedhas the same parity aspresses
The parity rule matters because extra presses must cancel in pairs.
For example, if a subset uses 1 button, it can also be produced with:
3, 5, 7, ...presses by pressing some button twice as extra canceling operations.
But it cannot be produced with exactly 2 presses.
Algorithm
- Replace
nbymin(n, 3). - Represent the initial state as all
1bits. - Build four bit masks for the four buttons.
- Enumerate all
16subsets of buttons. - For each subset:
- Count how many buttons are selected.
- Check whether it can be produced with exactly
pressespresses. - Apply the selected button masks using XOR.
- Add the final state to a set.
- Return the size of the set.
Correctness
Pressing a button toggles some bulbs. Toggling the same bulb twice cancels, so the final effect of each button depends only on whether that button was pressed an odd or even number of times.
Therefore, every sequence of button presses is equivalent to one subset of the four buttons.
A subset with used buttons can be realized after exactly presses presses if and only if used <= presses and used has the same parity as presses. Extra presses can be added in canceling pairs, and no sequence can change parity without changing which buttons have odd press counts.
The algorithm enumerates every possible subset of buttons and keeps exactly the subsets that can be realized after presses presses.
For each valid subset, XORing the corresponding masks gives the exact final bulb state, because XOR models toggling.
Since the first min(n, 3) bulbs determine the possible state count, counting distinct states over these bulbs gives the correct answer.
Thus, the algorithm returns exactly the number of possible final bulb states.
Complexity
| Metric | Value | Why |
|---|---|---|
| Time | O(1) | Only 16 button subsets are checked |
| Space | O(1) | At most 16 states are stored |
Implementation
class Solution:
def flipLights(self, n: int, presses: int) -> int:
n = min(n, 3)
masks = []
for button in range(4):
mask = 0
for i in range(n):
label = i + 1
if button == 0:
mask |= 1 << i
elif button == 1 and label % 2 == 0:
mask |= 1 << i
elif button == 2 and label % 2 == 1:
mask |= 1 << i
elif button == 3 and label % 3 == 1:
mask |= 1 << i
masks.append(mask)
states = set()
initial = (1 << n) - 1
for subset in range(16):
used = subset.bit_count()
if used > presses:
continue
if (presses - used) % 2 != 0:
continue
state = initial
for button in range(4):
if subset & (1 << button):
state ^= masks[button]
states.add(state)
return len(states)Code Explanation
We only need the first three bulbs:
n = min(n, 3)Then we build one mask per button.
For each bulb label, we decide whether that button flips it:
if button == 0:
mask |= 1 << i
elif button == 1 and label % 2 == 0:
mask |= 1 << i
elif button == 2 and label % 2 == 1:
mask |= 1 << i
elif button == 3 and label % 3 == 1:
mask |= 1 << iThe initial state has all bulbs on:
initial = (1 << n) - 1Then we enumerate every subset of the four buttons:
for subset in range(16):The number of selected buttons is:
used = subset.bit_count()A subset is invalid if it uses more odd buttons than total presses:
if used > presses:
continueIt is also invalid if the parity does not match:
if (presses - used) % 2 != 0:
continueFor a valid subset, we apply each selected button with XOR:
state ^= masks[button]Then we store the resulting state:
states.add(state)The answer is the number of distinct states:
return len(states)Testing
def run_tests():
s = Solution()
assert s.flipLights(1, 0) == 1
assert s.flipLights(1, 1) == 2
assert s.flipLights(2, 1) == 3
assert s.flipLights(3, 1) == 4
assert s.flipLights(3, 2) == 7
assert s.flipLights(3, 3) == 8
assert s.flipLights(1000, 0) == 1
assert s.flipLights(1000, 1) == 4
assert s.flipLights(1000, 2) == 7
assert s.flipLights(1000, 3) == 8
print("all tests passed")
run_tests()Test meaning:
| Test | Why |
|---|---|
n=1, presses=0 | No press leaves one state |
n=1, presses=1 | Single bulb has two possible states |
n=2, presses=1 | Standard small example |
n=3, presses=1 | Four direct button effects |
n=3, presses=2 | Valid parity subsets create seven states |
n=3, presses>=3 | All eight states become reachable |
Large n | Confirms reduction to first three bulbs |