From f5f31ba1c300eebcd070a720069a1235a85ac45d Mon Sep 17 00:00:00 2001
From: Prad Nukala <prad@sonr.io>
Date: Mon, 21 Sep 2026 18:05:30 -0400
Subject: [PATCH] docs(docs): remove array order meta and add solution
 implementation for Pacific Atlantic Water Flow

---
 apps/docs/content/array/meta.ts               |  2 +-
 .../417-pacific-atlantic-water-flow.mdx       | 34 +++++++++++++++++++
 2 files changed, 35 insertions(+), 1 deletion(-)

diff --git a/apps/docs/content/array/meta.ts b/apps/docs/content/array/meta.ts
index bacb76c..29af647 100644
--- a/apps/docs/content/array/meta.ts
+++ b/apps/docs/content/array/meta.ts
@@ -1,3 +1,3 @@
 import { defineMeta } from "blume";
 
-export default defineMeta({ title: "Array", order: 0 });
+export default defineMeta({ title: "Array" });
diff --git a/apps/docs/content/graph-dfs/417-pacific-atlantic-water-flow.mdx b/apps/docs/content/graph-dfs/417-pacific-atlantic-water-flow.mdx
index e5e894c..b90cb03 100644
--- a/apps/docs/content/graph-dfs/417-pacific-atlantic-water-flow.mdx
+++ b/apps/docs/content/graph-dfs/417-pacific-atlantic-water-flow.mdx
@@ -30,4 +30,38 @@ sidebar:
 ```py
 class Solution:
     def pacificAtlantic(self, heights: list[list[int]]) -> list[list[int]]:
+        rows, cols = len(heights), len(heights[0])
+        pac, atl = set(), set()
+
+        def dfs(r, c, seen, prevHeight):
+            if (
+                (r, c) in seen
+                or r < 0
+                or c < 0
+                or r == rows
+                or c == cols
+                or heights[r][c] < prevHeight
+            ):
+                return
+            seen.add((r, c))
+            dfs(r + 1, c, seen, heights[r][c])
+            dfs(r - 1, c, seen, heights[r][c])
+            dfs(r, c + 1, seen, heights[r][c])
+            dfs(r, c - 1, seen, heights[r][c])
+
+        for c in range(cols):
+            dfs(0, c, pac, heights[0][c])
+            dfs(rows - 1, c, atl, heights[rows - 1][c])
+
+        for r in range(rows):
+            dfs(r, 0, pac, heights[r][0])
+            dfs(r, cols - 1, atl, heights[r][cols - 1])
+
+        res = []
+        for r in range(rows):
+            for c in range(cols):
+                if (r, c) in pac and (r, c) in atl:
+                    res.append([r, c])
+
+        return res
 ```