
The challenge is to find all pairs of songs from a given list such that their combined duration in seconds is divisible by 60. Specifically, for a list of song durations presented as integers in an array, we need to identify all unique pairs (i, j) where the index i is less than index j, and the sum of durations at indices i and j (time[i] + time[j]) is a multiple of 60.
This type of computation may find utility in determining which pairs of songs align harmoniously with a certain rhythmic cycle, such as a minute-long loop or sequence.
Input:
Output:
Explanation:
Input:
Output:
Explanation:
1 <= time.length <= 6 * 1041 <= time[i] <= 500To tackle the problem efficiently, we can leverage the properties of modular arithmetic to simplify the search. Here's a step-by-step breakdown of the intuition and approach:
Understanding that for any two numbers a and b, (a + b) % 60 == 0 is true if and only if (a % 60 + b % 60) % 60 == 0. This means we only need to consider the remainder when each song duration is divided by 60.
Use an array to keep track of how many songs have each possible remainder when divided by 60. This array, count, will have a size of 60 (as the remainders can range from 0 to 59).
For each song duration t in the list:
t is divided by 60: remainder = t % 60.remainder, results in a number divisible by 60 is (60 - remainder) % 60.count array for how many previous song durations have left the required complement remainder. This gives the number of new pairs formed with the current song duration t.count[remainder] to include the current song duration.Accumulate the count of valid pairs as you iterate through the list. This approach ensures each pair is counted once and is efficient in managing the pairs' counts.
Example 1:
30, 20, 150, 100, 40, observe that:30 + 150 = 180 (remainder 0 after dividing by 60)20 + 100 = 120 (remainder 0 after dividing by 60)20 + 40 = 60 (remainder 0 after dividing by 60)Example 2:
60, all pairs formed will always sum to multiples of 60 (since 60 % 60 = 0).By following the above method, you can efficiently calculate the desired number of song pairs whose durations sum to multiples of 60, using limited space and in a significantly reduced time span compared to checking all possible pairs directly.
Solve the problem of finding pairs of songs where the total duration of each pair is divisible by 60 using an efficient Java approach. By analyzing each song's duration and leveraging modulo arithmetic, this method efficiently identifies and counts these pairs with minimized computational complexity:
mods to hold the count of song durations modulo 60.pairs to accumulate the number of qualifying song pairs.pairs count by the number of songs previously encountered with a remainder of 0.pairs the count of previously encountered songs that, when added to the current song, result in a sum divisible by 60.mods array by incrementing the counter at the index corresponding to the current song's remainder.This method provides a focused and streamlined way to calculate pairs without the need for nested loops, thereby improving performance for large datasets. By using the properties of modulo, it efficiently associates songs that can form a pair with others, making the algorithm both intuitive and optimal.
You will solve the problem of counting pairs of songs where the total duration of each pair is divisible by 60, effectively managing issues related to handling large lists and modular arithmetic. The Python code defines a function countPairsDivisibleBy60, where an array time representing song durations in seconds serves as the input.
remainder_count using collections.defaultdict to store the frequency of each remainder when song durations are divided by 60.count_pairs to 0 to keep track of the number of valid pairs.Iterate over each duration t in the time list:
t % 60 == 0: This checks if the duration t itself is divisible by 60. If true, add remainder_count[0] to count_pairs because adding a duration that leaves no remainder with another that also leaves no remainder results in a total duration divisible by 60.t to form a divisible by 60 sum to count_pairs. This is achieved by remainder_count[60 - t % 60].remainder_count[t % 60] by one.Finally, return count_pairs as the result. This approach ensures efficient matching by leveraging the properties of mod operation and taking advantage of hash table operations, which are average O(1) in time complexity. Thus, the overall code runs in O(n) time, where n is the number of items in the time list.
0 Comments
Be the first to comment and share your perspective with the community.