
Imagine a room equipped with n light bulbs, each individually labeled from 1 to n. When you first enter, all bulbs are turned on. On the wall, you find four distinct buttons, each with its own unique functionality affecting the bulbs' status:
2, 4, ...).1, 3, ...).j = 3k + 1 for k = 0, 1, 2, ... (such as bulbs 1, 4, 7, 10, ...).Your challenge is to utilize exactly presses button presses, during which you can press any of the four buttons in any sequence. The goal is to determine how many distinct bulb statuses or configurations can be achieved after all presses have been made.
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Input:
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Explanation:
Input:
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Explanation:
1 <= n <= 10000 <= presses <= 1000When tackling this problem, the primary consideration is how each button affects the bulbs and how these effects can overlap or nullify each other. Here's a breakdown of the approach and the underlying thought process:
Identify Bulb Groups:
Modeling Button Effects:
Dynamic Configurations:
presses operations and four buttons, explore the combinations of presses - remember that multiple presses of the same button can ultimately negate each other.Tracking State Modifications:
The nuances of button interactions and their collective impacts on the system state make this a challenging combinatorial problem, one suited for algorithmic simulation to enumerate and deduce the distinct configurations possible, considering all the rules and constraints.
In the "Bulb Switcher II" problem, the solution in Java focuses on toggling a set number of lights with a given number of presses. This solution takes advantage of the repeating pattern that emerges due to the limited interactions between toggles. Here's a brief explanation of the implemented logic:
The number of lights considered is limited to a maximum of three. This simplifies the problem since beyond three lights, patterns start repeating due to the symmetric nature of toggle operations.
The method checks for:
This solution is efficient owing to its reduced focus beyond three lights and presses, keying into the repetitive nature of possible light configurations with each press. Notice how the solution appropriately uses the minimum function to prevent unnecessary calculations and conditionals to manage different outcomes based on the counts of lights and presses.
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