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| type Alfa = 'a' | 'b' | 'c' | 'd' | |
| | 'e' | 'f' | 'g' | 'h' | 'i' | |
| | 'j' | 'k' | 'l' | 'm' | 'n' | |
| | 'o' | 'p' | 'q' | 'r' | 's' | |
| | 't' | 'u' | 'v' | 'w' | 'x' | |
| | 'y' | 'z'; | |
| type Numeric = '1' | '2' | '3' | '4' | |
| | '5' | '6' | '7' | '8' | '9'; |
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| /** | |
| * 8 | |
| * / \ | |
| * 6 25 | |
| * / \ / \ | |
| * 4 8 15 30 | |
| * \ | |
| * 5 | |
| * | |
| * |
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| /** | |
| * 8 root = 10 | root = <- deleteNode(10) -> | |
| * / \ | |
| * 6 25 | |
| * / \ / \ | |
| * 4 8 15 30 | |
| * \ | |
| * 5 | |
| * | |
| */ |
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| class Node { | |
| public next: Node = null; | |
| constructor( | |
| public value: number | |
| ) {} | |
| } | |
| class Queue { | |
| private front: Node = null; |
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| class Nodo { | |
| public next: Nodo = null; | |
| constructor( | |
| public value: number | |
| ) {} | |
| } | |
| class Stack { |
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| /** | |
| * ht.set('myKey2', value); | |
| * | | |
| * v | |
| * hash(key) -> index | |
| * | | |
| * v | |
| * 0| (myKey2, value) -> (myKey, value) -> null, | |
| * 1| , | |
| * 2| , |
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| import random | |
| class RandomizedSet: | |
| """ | |
| set = { 1: 0, 2: 1 } | |
| indexes = { 0: 1, 1: 2} | |
| """ | |
| def __init__(self): |
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| class Solution: | |
| def rangeSumBST(self, root: TreeNode, L: int, R: int) -> int: | |
| _sum = 0 | |
| if root: | |
| if root.val >= L and root.val <= R: | |
| _sum += root.val | |
| if root.val <= R: | |
| _sum += self.rangeSumBST(root.right, L, R) |
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| class Solution { | |
| public List<List<String>> groupAnagrams(String[] strs) { | |
| if (strs.length == 0) return new ArrayList(); | |
| Map<String, List> ans = new HashMap<String, List>(); | |
| int[] count = new int[26]; | |
| for (String s : strs) { | |
| Arrays.fill(count, 0); | |
| for (char c : s.toCharArray()) count[c - 'a']++; | |
| StringBuilder sb = new StringBuilder(""); |
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| class Solution: | |
| def groupAnagrams(self, strs: List[str]) -> List[List[str]]: | |
| result = [] | |
| groups = {} | |
| for word in strs: | |
| wordFrecuency = self.__getDictFrecuency(word) # O(n) -> {...} | |
| groupIndex = self.__belongsToAGroup(groups, wordFrecuency) # O(groups.length + wordFrecuency.length) | |
| if groupIndex > -1: |
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