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docs(docs): add 271 Encode/Decode Strings and 98 Validate BST pages
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@@ -42,7 +42,14 @@ flowchart TD
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## Solution
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## Solution
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```js
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<CodeGroup>
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```py Python
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class Solution:
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def containsDuplicate(self, nums: List[int]) -> bool:
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```
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```js JavaScript
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/**
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/**
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* @param {number[]} nums
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* @param {number[]} nums
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* @return {boolean}
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* @return {boolean}
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@@ -59,6 +66,8 @@ var containsDuplicate = function(nums) {
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};
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};
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```
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```
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</CodeGroup>
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## Explanation
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## Explanation
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<YouTube id="3OamzN90kPg" title="Contains Duplicate - Leetcode 217 - Python" />
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<YouTube id="3OamzN90kPg" title="Contains Duplicate - Leetcode 217 - Python" />
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@@ -0,0 +1,48 @@
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---
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title: '271. Encode and Decode Strings'
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description: Design an algorithm to encode a list of strings to a string. The encoded string is then sent over the network and is decoded back to the original list of strings
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sidebar:
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label: 'Encode and Decode Strings'
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badge: 'Medium'
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---
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<Badge variant="accent">Array</Badge>
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::::warning
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Could you write a generalized algorithm to work on any possible set of characters?
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::::
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### Example 1:
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- Input: `dummy_input = ["Hello","World"]`
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- Output: `["Hello","World"]`
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- Explanation: Machine `1`: Codec encoder = new Codec(); String msg = encoder.encode(strs); Machine `1` ---msg---> Machine `2` Machine `2`: Codec decoder = new Codec(); `String[] strs` = decoder.decode(msg);
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### Example 2:
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- Input: `dummy_input = [""]`
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- Output: `[""]`
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### Constraints:
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- `1 <= strs.length <= 200`
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- `0 <= strs[i].length <= 200`
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- `strs[i]` contains any possible characters out of 256 valid ASCII characters.
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## Solution
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```py
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class Codec:
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def encode(self, strs: List[str]) -> str:
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"""Encodes a list of strings to a single string.
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"""
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def decode(self, s: str) -> List[str]:
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"""Decodes a single string to a list of strings.
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"""
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# Your Codec object will be instantiated and called as such:
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# codec = Codec()
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# codec.decode(codec.encode(strs))
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```
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@@ -0,0 +1,46 @@
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---
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title: '98. Validate Binary Search Tree'
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description: Given the root of a binary tree, determine if it is a valid binary search tree (BST)
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sidebar:
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label: 'Validate Binary Search Tree'
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badge: 'Medium'
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---
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<Badge variant="accent">Binary Search Tree</Badge>
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### Example 1:
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- Input: `root = [2,1,3]`
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- Output: `true`
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### Example 2:
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- Input: `root = [5,1,4,null,null,3,6]`
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- Output: `false`
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- Explanation: The `root` node's value is `5` but its right child's value is `4`.
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### Constraints:
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- The number of nodes in the tree is in the range [1, 10^4].
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- `-2^31 <= Node.val <= 2^31 - 1`
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## Solution
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```py
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# Definition for a binary tree node.
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# class TreeNode:
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# def __init__(self, val=0, left=None, right=None):
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# self.val = val
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# self.left = left
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# self.right = right
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class Solution:
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def isValidBST(self, root: Optional[TreeNode]) -> bool:
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def valid(node, low, high):
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if not node:
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return True
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if not (low < node.val < high):
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return False
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return valid(node.left, low, node.val) and valid(node.right, node.val, high)
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return valid(root, float("-inf"), float("inf"))
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```
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