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LeetCode #340 & #76
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// This is meant to be an introductory problem. The question is, given | |
// a list of numbers and a number k, return the largest sum of k | |
// consecutive numbers in the list. | |
pub fn largest_continuous_sum(nums: Vec<isize>, k: usize) -> isize { | |
// *state* | |
// | |
// In this case, it's just the max sum we've seen so far. | |
let mut largest = std::isize::MIN; | |
// *iterate* | |
// | |
// Both left and right will slide together, so we can use a range | |
// + enumerate to get both values in our for loop. | |
for (left, right) in (k..=nums.len()).enumerate() { | |
// *update state* | |
// | |
// For this problem, we can simply sum the numbers in the | |
// window and update our largest. | |
let sum = nums[left..right].iter().sum(); | |
largest = largest.max(sum); | |
} | |
largest | |
} | |
// https://leetcode.com/problems/longest-substring-with-at-most-k-distinct-characters/description/ | |
pub fn longest_substring_with_k_distinct_chars(s: &str, k: usize) -> usize { | |
use std::collections::HashMap; | |
// We'll use a vec of chars to simplify how the algorithm looks. | |
let chars = s.chars().collect::<Vec<_>>(); | |
// *state* | |
// | |
// We want to track how many unique characters we have in our | |
// window, but also how many of each so that as we slide the | |
// window, we know when a character is no longer in the window at | |
// all vs just having fewer of them. | |
// | |
// We also want to track our longest. | |
let mut counts: HashMap<&char, usize> = HashMap::new(); | |
let mut longest = 0; | |
// *iterate* | |
// | |
// In this case, left and right will slide independently, so we | |
// need to track them separately. | |
let mut left = 0; | |
for (right, c) in chars.iter().enumerate() { | |
// *update state* | |
// | |
// Increment our count for this char. Then slide the left side | |
// of the window until we have k distinct chars. Once done, we | |
// can update our longest value if we found a longer one. | |
*counts.entry(c).or_default() += 1; | |
while counts.len() > k { | |
// We are sliding left, so we want to decrement it's count | |
// and then remove it from the map it it's now zero. | |
let left_char = chars[left]; | |
*counts.get_mut(&left_char).unwrap() -= 1; | |
if counts[&left_char] == 0 { | |
counts.remove(&left_char); | |
} | |
left += 1; | |
} | |
longest = longest.max(right - left + 1); | |
} | |
longest | |
} | |
// https://leetcode.com/problems/minimum-window-substring/description/ | |
pub fn min_window_substring(s: &str, t: &str) -> String { | |
use std::collections::HashMap; | |
// Again, we'll use a vec of chars to simplify how the algorithm | |
// looks. | |
let chars = s.chars().collect::<Vec<_>>(); | |
// Handle the edge cases that leetcode presented. | |
if s.is_empty() || t.is_empty() { | |
return "".to_string(); | |
} | |
// *state* | |
// | |
// We want to track how many of each char we have left to find in | |
// t. If all of them are zero or less, we know we have a valid | |
// window. We also want to track our min_window. | |
let mut counts: HashMap<char, isize> = t.chars().fold(HashMap::new(), |mut counts, c| { | |
*counts.entry(c).or_default() += 1; | |
counts | |
}); | |
let mut min_window = ""; | |
// *iterate* | |
// | |
// Again, left and right will slide independently. | |
let mut left = 0; | |
for (right, c) in chars.iter().enumerate() { | |
// *update state* | |
// | |
// The general idea is that we want to decrement values in t | |
// until we have them all. And then as long we we have all of | |
// the values in t, we can keep sliding left. | |
if let Some(count) = counts.get_mut(c) { | |
*count -= 1 | |
} | |
// We want to slide left as long a we have a valid window. | |
while counts.values().all(|&count| count <= 0) { | |
// If we have a new minumum window, update it. | |
if right - left + 1 < min_window.len() || min_window.is_empty() { | |
min_window = &s[left..=right]; | |
} | |
// If left is in our map, increment it's count and then shift left. | |
if let Some(count) = counts.get_mut(&chars[left]) { | |
*count += 1; | |
} | |
left += 1; | |
} | |
} | |
min_window.to_string() | |
} | |
#[cfg(test)] | |
mod tests { | |
use super::*; | |
#[test] | |
fn test_largest_continuous_sum() { | |
let nums = vec![1, 2, 3, 4, 5]; | |
let k = 3; | |
assert_eq!(largest_continuous_sum(nums, k), 12); | |
let nums = vec![1, 2, 3, -4, 5]; | |
let k = 3; | |
assert_eq!(largest_continuous_sum(nums, k), 6); | |
} | |
#[test] | |
fn test_longest_substring_with_k_distinct_chars() { | |
let s = "araaci"; | |
let k = 2; | |
assert_eq!(longest_substring_with_k_distinct_chars(s, k), 4); | |
let s = "araaci"; | |
let k = 1; | |
assert_eq!(longest_substring_with_k_distinct_chars(s, k), 2); | |
let s = "cbbebi"; | |
let k = 3; | |
assert_eq!(longest_substring_with_k_distinct_chars(s, k), 5); | |
} | |
#[test] | |
fn test_min_window_substring() { | |
let s = "ADOBECODEBANC"; | |
let t = "ABC"; | |
assert_eq!(min_window_substring(s, t), "BANC"); | |
let s = "a"; | |
let t = "a"; | |
assert_eq!(min_window_substring(s, t), "a"); | |
let s = "a"; | |
let t = "aa"; | |
assert_eq!(min_window_substring(s, t), ""); | |
let s = "a"; | |
let t = "b"; | |
assert_eq!(min_window_substring(s, t), ""); | |
let s = "aa"; | |
let t = "aa"; | |
assert_eq!(min_window_substring(s, t), "aa"); | |
let s = "bbaa"; | |
let t = "aba"; | |
assert_eq!(min_window_substring(s, t), "baa"); | |
let s = "bbaa"; | |
let t = "abb"; | |
assert_eq!(min_window_substring(s, t), "bba"); | |
let s = "bbaa"; | |
let t = "abaaa"; | |
assert_eq!(min_window_substring(s, t), ""); | |
} | |
} |
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