-
Notifications
You must be signed in to change notification settings - Fork 46
/
Copy pathDailyTemperatures.java
284 lines (251 loc) · 9.12 KB
/
DailyTemperatures.java
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
package LeetCodeJava.Stack;
// https://leetcode.com/problems/daily-temperatures/
/**
* 739. Daily Temperatures
* Solved
* Medium
* Topics
* Companies
* Hint
* Given an array of integers temperatures represents the daily temperatures, return an array answer such that answer[i] is the number of days you have to wait after the ith day to get a warmer temperature. If there is no future day for which this is possible, keep answer[i] == 0 instead.
*
*
*
* Example 1:
*
* Input: temperatures = [73,74,75,71,69,72,76,73]
* Output: [1,1,4,2,1,1,0,0]
* Example 2:
*
* Input: temperatures = [30,40,50,60]
* Output: [1,1,1,0]
* Example 3:
*
* Input: temperatures = [30,60,90]
* Output: [1,1,0]
*
*
* Constraints:
*
* 1 <= temperatures.length <= 105
* 30 <= temperatures[i] <= 100
*/
import java.util.*;
public class DailyTemperatures {
// V0
// IDEA : STACK (MONOTONIC STACK)
// LC 496
public int[] dailyTemperatures(int[] temperatures) {
if (temperatures.length == 1){
return temperatures;
}
/**
* Stack :
*
* -> cache elements (temperature) that DOESN'T have (NOT found) next warmer temperature yet
* -> structure : stack ([temperature, idx])
*
*
* NOTE !!!
*
* Stack val is as `[temperature, idx]` structure
* -> so we can track temperature and idx at once
*/
Stack<List<Integer>> st = new Stack<>(); // element, idx
/** NOTE !!!
*
* can't use map, since there will be "duplicated" temperature
* -> which will cause different val has same key (hashMap key)
*/
//Map<Integer, Integer> map = new HashMap<>(); // {temperature : idx-of-next-warmer-temperature}
/**
* NOTE !!!
*
* we use nextGreater collect answer,
* -> idx : temperature, val : idx-of-next-warmer-temperature
*/
int[] nextGreater = new int[temperatures.length];
Arrays.fill(nextGreater, 0); // idx : temperature, val : idx-of-next-warmer-temperature
for (int j = 0; j < temperatures.length; j++){
int x = temperatures[j];
/**
* NOTE !!!
* 1) while loop
* 2) stack is NOT empty
* 3) cache temperature smaller than current temperature
*
* st.peek().get(0) is cached temperature
*/
while (!st.isEmpty() && st.peek().get(0) < x){
/**
* st.peek().get(1) is idx
*
*/
nextGreater[st.peek().get(1)] = j - st.peek().get(1);
st.pop();
}
List<Integer> cur = new ArrayList<>();
cur.add(x); // element
cur.add(j); // idx
st.add(cur);
}
//System.out.println("nextGreater = " + nextGreater);
return nextGreater;
}
// V0-1
// IDEA : STACK (gpt)
// https://github.com/yennanliu/CS_basics/blob/master/leetcode_python/Stack/daily-temperatures.py#L34
public int[] dailyTemperatures_0_1(int[] temperatures) {
// Edge case: if the input array is null or empty, return an empty array
if (temperatures == null || temperatures.length == 0) {
return new int[0];
}
int n = temperatures.length;
int[] res = new int[n];
Stack<int[]> stack = new Stack<>();
// Loop through the temperatures in normal order
for (int i = 0; i < n; i++) {
/**
* While stack is not empty
* and the current temperature is greater
* than the temperature at the index stored at the top of the stack
*/
while (!stack.isEmpty() && stack.peek()[1] < temperatures[i]) {
/**
* Pop the top element from the stack
* and calculate the number of days to wait
*/
int[] top = stack.pop();
int idx = top[0];
res[idx] = i - idx;
}
/**
* NOTE !!!
*
* push 2 elements to stack
* 1) current idx
* 2) temperature
*
* e.g. : Push the current index and temperature onto the stack
*/
stack.push(new int[] { i, temperatures[i] });
}
return res;
}
// VO-2
// IDEA : INCREASING STACK
// https://www.bilibili.com/list/525438321?sort_field=pubtime&spm_id_from=333.999.0.0&oid=779764003&bvid=BV1my4y1Z7jj
/** NOTE !!! WE USE "INCREASING" STACK HERE
*
* It's critical to define whether "increasing" or "decreasing" stack
* We're going to use in stack LC before implement it
*/
public int[] dailyTemperatures_0_2(int[] temperatures) {
if (temperatures.length == 0 || temperatures.equals(null)){
return new int[temperatures.length];
}
int[] res = new int[temperatures.length];
// TODO : double check this
Stack<int[]> stack = new Stack<>();
int[] init = new int[2];
init[0] = temperatures[0];
init[1] = 0;
stack.push(init);
for (int i = 1; i < temperatures.length; i++){
int cur_tmp = temperatures[i];
int[] _cur = new int[2];
/**
* data structure : [cur_temperature, index]
* so we save cur temperature as 1st element
* index of above element as 2nd element
* so we can compare temperature and get index difference via above
*/
_cur[0] = temperatures[i];
_cur[1] = i;
// case 1 : cur < stack top element
if (cur_tmp < stack.peek()[0]){
stack.push(_cur);
// case 2 : cur == stack top element
}else if (cur_tmp == stack.peek()[0]){
stack.push(_cur);
} // case 3 : cur > stack top element
else{
// make sure stack is NOT empty
while(!stack.empty() && stack.peek()[0] < cur_tmp){
int[] _top = stack.pop();
res[_top[1]] = i - _top[1];
}
int[] to_push = new int[2];
to_push[0] = cur_tmp;
to_push[1] = i;
stack.push(to_push);
}
}
return res;
}
// V0-3
// IDEA: MONOTONIC STACK (gpt)
public int[] dailyTemperatures_0_3(int[] temperatures) {
// edge case
if (temperatures == null || temperatures.length == 0) {
return new int[] {};
}
// result array to store the number of days to wait for a warmer temperature
int[] res = new int[temperatures.length];
// stack to store the indices of the temperatures
Stack<Integer> st = new Stack<>();
// iterate through the temperatures
for (int i = 0; i < temperatures.length; i++) {
// while stack is not empty and the current temperature is greater than the
// temperature at the index of the top element of the stack
while (!st.isEmpty() && temperatures[i] > temperatures[st.peek()]) {
int idx = st.pop(); // get the index of the previous temperature
res[idx] = i - idx; // calculate the number of days to wait
}
st.push(i); // push the current index onto the stack
}
// return the result array
return res;
}
// V1
// IDEA : Monotonic Stack
// https://leetcode.com/problems/daily-temperatures/editorial/
public int[] dailyTemperatures_1(int[] temperatures) {
int n = temperatures.length;
int[] answer = new int[n];
Deque<Integer> stack = new ArrayDeque<>();
for (int currDay = 0; currDay < n; currDay++) {
int currentTemp = temperatures[currDay];
// Pop until the current day's temperature is not
// warmer than the temperature at the top of the stack
while (!stack.isEmpty() && temperatures[stack.peek()] < currentTemp) {
int prevDay = stack.pop();
answer[prevDay] = currDay - prevDay;
}
stack.push(currDay);
}
return answer;
}
// V2
// IDEA : Array, Optimized Space
// https://leetcode.com/problems/daily-temperatures/editorial/
public int[] dailyTemperatures_2(int[] temperatures) {
int n = temperatures.length;
int hottest = 0;
int answer[] = new int[n];
for (int currDay = n - 1; currDay >= 0; currDay--) {
int currentTemp = temperatures[currDay];
if (currentTemp >= hottest) {
hottest = currentTemp;
continue;
}
int days = 1;
while (temperatures[currDay + days] <= currentTemp) {
// Use information from answer to search for the next warmer day
days += answer[currDay + days];
}
answer[currDay] = days;
}
return answer;
}
}