
Problem Statement
In this problem, you are provided with a sequential process of turning on bulbs in a linear arrangement where each bulb is initially off. Each bulb can be uniquely identified by its position, ranging from 1 to n
. The sequence of turning the bulbs on is dictated by the array bulbs
, where bulbs[i] = x
indicates that on the (i+1)th
day, the bulb at position x
will be turned on.
The challenge is to determine the minimum day number on which there exists a scenario where two bulbs are turned on with exactly k
bulbs between them that are all off. If no such scenario arises until all bulbs are turned on, the answer should be -1
.
Examples
Example 1
Input:
bulbs = [1,3,2], k = 1
Output:
2 **Explanation:** On the first day: bulbs[0] = 1, first bulb is turned on: [1,0,0] On the second day: bulbs[1] = 3, third bulb is turned on: [1,0,1] On the third day: bulbs[2] = 2, second bulb is turned on: [1,1,1] We return 2 because on the second day, there were two on bulbs with one off bulb between them.
Example 2
Input:
bulbs = [1,2,3], k = 1
Output:
-1
Constraints
n == bulbs.length
1 <= n <= 2 * 104
1 <= bulbs[i] <= n
bulbs
is a permutation of numbers from1
ton
.0 <= k <= 2 * 104
Approach and Intuition
To solve this problem, you need to keep track of which bulbs are turned on during each passing day and check the specified condition about the bulbs in between them. Use the below steps based on the provided examples and constraints:
- Begin by initializing an empty structure to store the state of each bulb (either on or off).
- Simulate each day's action by turning on the bulb as specified in the
bulbs
array. - After turning on a bulb each day, check for pairs of bulbs that are already on to see if they satisfy the condition of having exactly
k
bulbs between them that are all off. - If on any given day this condition is satisfied, capture and return that day as the result.
- If all bulbs are turned on and no such pair is found that satisfies the conditions, return
-1
.
Example Analysis
Example 1:
- Sequence of operations:
- Day 1: Turn on bulb at position 1 -> [1,0,0]
- Day 2: Turn on bulb at position 3 -> [1,0,1]
- Day 3: Turn on bulb at position 2 -> [1,1,1]
- At Day 2, bulbs at positions 1 and 3 are on with exactly one bulb (position 2) off in between them, satisfying the condition
k=1
.
- Sequence of operations:
Example 2:
- All bulbs are turned on in sequence with no bulbs off between any two turned on bulbs, thus the output is
-1
.
- All bulbs are turned on in sequence with no bulbs off between any two turned on bulbs, thus the output is
This approach leverages the sequencing details provided by the bulbs
array and condition checks implemented in a straightforward manner as the bulbs are turned on day-by-day.
Solutions
- Java
class Solution {
public int checkSlots(int[] plants, int gap) {
int[] bloomDays = new int[plants.length];
for (int index = 0; index < plants.length; index++) {
bloomDays[plants[index] - 1] = index + 1;
}
int minimumDays = Integer.MAX_VALUE;
int start = 0, end = gap + 1;
loop: while (end < bloomDays.length) {
for (int i = start + 1; i < end; i++) {
if (bloomDays[i] < bloomDays[start] || bloomDays[i] < bloomDays[end]) {
start = i;
end = i + gap + 1;
continue loop;
}
}
minimumDays = Math.min(minimumDays, Math.max(bloomDays[start], bloomDays[end]));
start = end;
end = start + gap + 1;
}
return minimumDays < Integer.MAX_VALUE ? minimumDays : -1;
}
}
The Java solution describes a method to determine the minimum number of days required for two flowers in an array to bloom with exactly k
empty slots between them.
- First, the function
checkSlots
accepts two parameters,plants
, which is an array of integers representing the day on which each plant will bloom, andgap
, which represents the number of slots between two blooming plants. - An auxiliary array
bloomDays
is initialized to map each plant to its blooming day in chronological order. - The main evaluation happens in a loop where two pointers,
start
andend
, define the range of the evaluation window, which always maintains a distance ofgap+1
between them. - Inside the loop, each element between
start
andend
is checked. If an element within this range blooms earlier than either the flower at thestart
or at theend
position, pointers move to focus on the next potential valid range. - If all elements within the range meet the condition (they do not bloom earlier than both the
start
andend
flowers), calculate the maximum bloom day between thestart
andend
and update theminimumDays
if this maximum is smaller. - This process repeats until the
end
pointer surpasses the length of thebloomDays
array. - Finally, the method returns the value of
minimumDays
if a valid arrangement is found; otherwise, it returns-1
indicating that no valid slots exist following the given constraints.
This method efficiently scans the plants
array, utilizing optimal position shifts to minimize unnecessary checks, providing a solution that is both time-effective and simple to understand.
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