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34 changes: 34 additions & 0 deletions
34
src/main/java/g0301_0400/s0374_guess_number_higher_or_lower/Solution.java
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package g0301_0400.s0374_guess_number_higher_or_lower; | ||
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// #Easy #Binary_Search #Interactive | ||
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/** | ||
* Forward declaration of guess API. | ||
* | ||
* @param num your guess | ||
* @return -1 if num is lower than the guess number 1 if num is higher than the guess number | ||
* otherwise return 0 int guess(int num); | ||
*/ | ||
public class Solution { | ||
public int guessNumber(int n) { | ||
int left = 1; | ||
int right = n; | ||
int mid; | ||
while (left <= right) { | ||
mid = left + (right - left) / 2; | ||
if (guess(mid) == 1) { | ||
left = mid + 1; | ||
} else if (guess(mid) == -1) { | ||
right = mid - 1; | ||
} else { | ||
return mid; | ||
} | ||
} | ||
return -1; | ||
} | ||
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// Assume we pick 7 | ||
private int guess(int num) { | ||
return Integer.compare(7, num); | ||
} | ||
} |
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src/main/java/g0301_0400/s0374_guess_number_higher_or_lower/readme.md
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374\. Guess Number Higher or Lower | ||
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Easy | ||
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We are playing the Guess Game. The game is as follows: | ||
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I pick a number from `1` to `n`. You have to guess which number I picked. | ||
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Every time you guess wrong, I will tell you whether the number I picked is higher or lower than your guess. | ||
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You call a pre-defined API `int guess(int num)`, which returns 3 possible results: | ||
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* `-1`: The number I picked is lower than your guess (i.e. `pick < num`). | ||
* `1`: The number I picked is higher than your guess (i.e. `pick > num`). | ||
* `0`: The number I picked is equal to your guess (i.e. `pick == num`). | ||
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Return _the number that I picked_. | ||
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**Example 1:** | ||
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**Input:** n = 10, pick = 6 | ||
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**Output:** 6 | ||
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**Example 2:** | ||
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**Input:** n = 1, pick = 1 | ||
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**Output:** 1 | ||
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**Example 3:** | ||
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**Input:** n = 2, pick = 1 | ||
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**Output:** 1 | ||
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**Example 4:** | ||
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**Input:** n = 2, pick = 2 | ||
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**Output:** 2 | ||
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**Constraints:** | ||
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* <code>1 <= n <= 2<sup>31</sup> - 1</code> | ||
* `1 <= pick <= n` |
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src/main/java/g0301_0400/s0378_kth_smallest_element_in_a_sorted_matrix/Solution.java
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package g0301_0400.s0378_kth_smallest_element_in_a_sorted_matrix; | ||
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// #Medium #Top_Interview_Questions #Array #Sorting #Binary_Search #Matrix #Heap_Priority_Queue | ||
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public class Solution { | ||
public int kthSmallest(int[][] matrix, int k) { | ||
if (matrix == null || matrix.length == 0) { | ||
return -1; | ||
} | ||
int start = matrix[0][0]; | ||
int end = matrix[matrix.length - 1][matrix[0].length - 1]; | ||
// O(log(max-min)) time | ||
while (start + 1 < end) { | ||
int mid = start + (end - start) / 2; | ||
if (countLessEqual(matrix, mid) < k) { | ||
// look towards end | ||
start = mid; | ||
} else { | ||
// look towards start | ||
end = mid; | ||
} | ||
} | ||
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// leave only with start and end, one of them must be the answer | ||
// try to see if start fits the criteria first | ||
if (countLessEqual(matrix, start) >= k) { | ||
return start; | ||
} else { | ||
return end; | ||
} | ||
} | ||
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// countLessEqual | ||
// O(n) Time | ||
private int countLessEqual(int[][] matrix, int target) { | ||
// binary elimination from top right | ||
int row = 0; | ||
int col = matrix[0].length - 1; | ||
int count = 0; | ||
while (row < matrix.length && col >= 0) { | ||
if (matrix[row][col] <= target) { | ||
// get the count in current row | ||
count += col + 1; | ||
row++; | ||
} else if (matrix[row][col] > target) { | ||
// eliminate the current col | ||
col--; | ||
} | ||
} | ||
return count; | ||
} | ||
} |
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src/main/java/g0301_0400/s0378_kth_smallest_element_in_a_sorted_matrix/readme.md
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378\. Kth Smallest Element in a Sorted Matrix | ||
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Medium | ||
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Given an `n x n` `matrix` where each of the rows and columns is sorted in ascending order, return _the_ <code>k<sup>th</sup></code> _smallest element in the matrix_. | ||
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Note that it is the <code>k<sup>th</sup></code> smallest element **in the sorted order**, not the <code>k<sup>th</sup></code> **distinct** element. | ||
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You must find a solution with a memory complexity better than <code>O(n<sup>2</sup>)</code>. | ||
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**Example 1:** | ||
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**Input:** matrix = \[\[1,5,9\],\[10,11,13\],\[12,13,15\]\], k = 8 | ||
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**Output:** 13 | ||
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**Explanation:** The elements in the matrix are \[1,5,9,10,11,12,13,**13**,15\], and the 8<sup>th</sup> smallest number is 13 | ||
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**Example 2:** | ||
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**Input:** matrix = \[\[-5\]\], k = 1 | ||
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**Output:** -5 | ||
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**Constraints:** | ||
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* `n == matrix.length == matrix[i].length` | ||
* `1 <= n <= 300` | ||
* <code>-10<sup>9</sup> <= matrix[i][j] <= 10<sup>9</sup></code> | ||
* All the rows and columns of `matrix` are **guaranteed** to be sorted in **non-decreasing order**. | ||
* <code>1 <= k <= n<sup>2</sup></code> | ||
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**Follow up:** | ||
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* Could you solve the problem with a constant memory (i.e., `O(1)` memory complexity)? | ||
* Could you solve the problem in `O(n)` time complexity? The solution may be too advanced for an interview but you may find reading [this paper](http://www.cse.yorku.ca/~andy/pubs/X+Y.pdf) fun. |
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src/main/java/g0301_0400/s0380_insert_delete_getrandom_o1/RandomizedSet.java
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package g0301_0400.s0380_insert_delete_getrandom_o1; | ||
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// #Medium #Top_Interview_Questions #Array #Hash_Table #Math #Design #Randomized | ||
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import java.security.SecureRandom; | ||
import java.util.ArrayList; | ||
import java.util.HashMap; | ||
import java.util.List; | ||
import java.util.Map; | ||
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public class RandomizedSet { | ||
private final SecureRandom rand; | ||
private final List<Integer> list; | ||
private final Map<Integer, Integer> map; | ||
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// Initialize your data structure here. | ||
public RandomizedSet() { | ||
this.rand = new SecureRandom(); | ||
this.list = new ArrayList<>(); | ||
this.map = new HashMap<>(); | ||
} | ||
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// Inserts a value to the set. Returns true if the set did not already contain the specified | ||
// element. | ||
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public boolean insert(int val) { | ||
if (this.map.containsKey(val)) { | ||
return false; | ||
} | ||
this.list.add(val); | ||
this.map.put(val, list.size() - 1); | ||
return true; | ||
} | ||
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// Removes a value from the set. Returns true if the set contained the specified element. | ||
public boolean remove(int val) { | ||
if (!this.map.containsKey(val)) { | ||
return false; | ||
} | ||
int index = this.map.get(val); | ||
if (index == this.list.size() - 1) { | ||
this.list.remove(index); | ||
this.map.remove(val); | ||
return true; | ||
} | ||
int value = list.get(list.size() - 1); | ||
this.list.set(index, value); | ||
this.list.remove(this.list.size() - 1); | ||
this.map.remove(val); | ||
this.map.put(value, index); | ||
return true; | ||
} | ||
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// Get a random element from the set. | ||
public int getRandom() { | ||
return this.list.get(rand.nextInt(list.size())); | ||
} | ||
} | ||
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/* | ||
* Your RandomizedSet object will be instantiated and called as such: RandomizedSet obj = new | ||
* RandomizedSet(); boolean param_1 = obj.insert(val); boolean param_2 = obj.remove(val); int | ||
* param_3 = obj.getRandom(); | ||
*/ |
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38
src/main/java/g0301_0400/s0380_insert_delete_getrandom_o1/readme.md
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380\. Insert Delete GetRandom O(1) | ||
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Medium | ||
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Implement the `RandomizedSet` class: | ||
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* `RandomizedSet()` Initializes the `RandomizedSet` object. | ||
* `bool insert(int val)` Inserts an item `val` into the set if not present. Returns `true` if the item was not present, `false` otherwise. | ||
* `bool remove(int val)` Removes an item `val` from the set if present. Returns `true` if the item was present, `false` otherwise. | ||
* `int getRandom()` Returns a random element from the current set of elements (it's guaranteed that at least one element exists when this method is called). Each element must have the **same probability** of being returned. | ||
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You must implement the functions of the class such that each function works in **average** `O(1)` time complexity. | ||
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**Example 1:** | ||
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**Input** | ||
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\["RandomizedSet", "insert", "remove", "insert", "getRandom", "remove", "insert", "getRandom"\] | ||
\[\[\], \[1\], \[2\], \[2\], \[\], \[1\], \[2\], \[\]\] | ||
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**Output:** \[null, true, false, true, 2, true, false, 2\] | ||
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**Explanation:** | ||
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RandomizedSet randomizedSet = new RandomizedSet(); | ||
randomizedSet.insert(1); // Inserts 1 to the set. Returns true as 1 was inserted successfully. | ||
randomizedSet.remove(2); // Returns false as 2 does not exist in the set. | ||
randomizedSet.insert(2); // Inserts 2 to the set, returns true. Set now contains \[1,2\]. | ||
randomizedSet.getRandom(); // getRandom() should return either 1 or 2 randomly. | ||
randomizedSet.remove(1); // Removes 1 from the set, returns true. Set now contains \[2\]. | ||
randomizedSet.insert(2); // 2 was already in the set, so return false. | ||
randomizedSet.getRandom(); // Since 2 is the only number in the set, getRandom() will always return 2. | ||
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**Constraints:** | ||
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* <code>-2<sup>31</sup> <= val <= 2<sup>31</sup> - 1</code> | ||
* At most `2 * `<code>10<sup>5</sup></code> calls will be made to `insert`, `remove`, and `getRandom`. | ||
* There will be **at least one** element in the data structure when `getRandom` is called. |
28 changes: 28 additions & 0 deletions
28
src/test/java/g0301_0400/s0374_guess_number_higher_or_lower/SolutionTest.java
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package g0301_0400.s0374_guess_number_higher_or_lower; | ||
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import static org.hamcrest.CoreMatchers.equalTo; | ||
import static org.hamcrest.MatcherAssert.assertThat; | ||
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import org.junit.jupiter.api.Test; | ||
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class SolutionTest { | ||
@Test | ||
void guessNumber() { | ||
assertThat(new Solution().guessNumber(10), equalTo(7)); | ||
} | ||
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@Test | ||
void guessNumber2() { | ||
assertThat(new Solution().guessNumber(1), equalTo(-1)); | ||
} | ||
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@Test | ||
void guessNumber3() { | ||
assertThat(new Solution().guessNumber(2), equalTo(-1)); | ||
} | ||
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@Test | ||
void guessNumber4() { | ||
assertThat(new Solution().guessNumber(6), equalTo(-1)); | ||
} | ||
} |
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20
src/test/java/g0301_0400/s0378_kth_smallest_element_in_a_sorted_matrix/SolutionTest.java
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package g0301_0400.s0378_kth_smallest_element_in_a_sorted_matrix; | ||
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import static org.hamcrest.CoreMatchers.equalTo; | ||
import static org.hamcrest.MatcherAssert.assertThat; | ||
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import org.junit.jupiter.api.Test; | ||
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class SolutionTest { | ||
@Test | ||
void kthSmallest() { | ||
assertThat( | ||
new Solution().kthSmallest(new int[][] {{1, 5, 9}, {10, 11, 13}, {12, 13, 15}}, 8), | ||
equalTo(13)); | ||
} | ||
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@Test | ||
void kthSmallest2() { | ||
assertThat(new Solution().kthSmallest(new int[][] {{-5}}, 1), equalTo(-5)); | ||
} | ||
} |
38 changes: 38 additions & 0 deletions
38
src/test/java/g0301_0400/s0380_insert_delete_getrandom_o1/RandomizedSetTest.java
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package g0301_0400.s0380_insert_delete_getrandom_o1; | ||
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import static org.hamcrest.CoreMatchers.equalTo; | ||
import static org.hamcrest.MatcherAssert.assertThat; | ||
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import java.util.ArrayList; | ||
import java.util.Arrays; | ||
import java.util.List; | ||
import org.junit.jupiter.api.Test; | ||
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class RandomizedSetTest { | ||
@Test | ||
void randomizedSet() { | ||
List<String> result = new ArrayList<>(); | ||
RandomizedSet randomizedSet = null; | ||
result.add(randomizedSet + ""); | ||
randomizedSet = new RandomizedSet(); | ||
result.add(randomizedSet.insert(1) + ""); | ||
result.add(randomizedSet.remove(2) + ""); | ||
result.add(randomizedSet.insert(2) + ""); | ||
int random = randomizedSet.getRandom(); | ||
result.add(random + ""); | ||
result.add(randomizedSet.remove(1) + ""); | ||
result.add(randomizedSet.insert(2) + ""); | ||
result.add(randomizedSet.getRandom() + ""); | ||
List<String> expected = | ||
new ArrayList<>( | ||
Arrays.asList("null", "true", "false", "true", "1", "true", "false", "2")); | ||
List<String> expected2 = | ||
new ArrayList<>( | ||
Arrays.asList("null", "true", "false", "true", "2", "true", "false", "2")); | ||
if (random == 1) { | ||
assertThat(result, equalTo(expected)); | ||
} else { | ||
assertThat(result, equalTo(expected2)); | ||
} | ||
} | ||
} |
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Please not use javadoc comments.