docs(content): add Contiguous Array page and update array badge count

apps/docs/content/(01-linear-structures)/prefix-sum/525-contiguous-array.mdx

@@ -0,0 +1,53 @@
+---
+title: '525. Contiguous Array'
+description: Given a binary array nums, return the maximum length of a contiguous subarray with an equal number of 0 and 1
+icon: dot
+topics:
+  - { name: "Array", slug: "array" }
+  - { name: "Hash Table", slug: "hash-table" }
+  - { name: "Prefix Sum", slug: "prefix-sum" }
+issue: "https://github.com/prdlk/leetcode/issues/39"
+sidebar:
+  label: 'Contiguous Array'
+  badge: 'Medium'
+---
+
+### Example 1:
+- Input: `nums = [0,1]`
+- Output: `2`
+- Explanation: [0, 1] is the longest contiguous subarray with an equal number of `0` and `1`.
+
+### Example 2:
+- Input: `nums = [0,1,0]`
+- Output: `2`
+- Explanation: [0, 1] (or [1, 0]) is a longest contiguous subarray with equal number of `0` and `1`.
+
+### Example 3:
+- Input: `nums = [0,1,1,1,1,1,0,0,0]`
+- Output: `6`
+- Explanation: `[1,1,1,0,0,0]` is the longest contiguous subarray with equal number of `0` and `1`.
+
+### Constraints:
+
+- `1 <= nums.length <= 10^5`
+- `nums[i]` is either 0 or 1.
+
+## Solution
+
+```py
+class Solution:
+    def findMaxLength(self, nums: List[int]) -> int:
+        map = {0: -1}
+        count = 0
+        longest = 0
+
+        for i, num in enumerate(nums):
+            count += 1 if num == 1 else -1
+
+            if count in map:
+                longest = max(longest, i - map[count])
+            else:
+                map[count] = i
+
+        return longest
+```

apps/docs/content/appendix/(1-data-structures)/array.mdx

@@ -3,7 +3,7 @@ title: "Array"
 list: "https://leetcode.com/problem-list/array/"
 icon: list-ordered
 sidebar:
-  badge: '45'
+  badge: '46'
 ---
 
 :::note