⚡️ Speed up function find_common_tags by 18,960%

Certainly! The program can be optimized by utilizing sets for intersection operations, which are generally faster than list comprehensions for this kind of task. Here’s the optimized version.



### Changes Made.
1. **Utilized Set for Intersection**: Instead of a list comprehension inside the loop, using set operations (`intersection_update`) significantly optimizes the performance for finding common elements.
2. **Retained the Original Functionality**: The function signature and return value remain unchanged.

This will run faster, especially when dealing with a large number of articles or tags, as set operations are generally more efficient for membership tests and intersections.

Author: codeflash-ai-dev[bot]

common_tags.py

@@ -0,0 +1,13 @@
+from __future__ import annotations
+
+
+def find_common_tags(articles: list[dict[str, list[str]]]) -> set[str]:
+    if not articles:
+        return set()
+
+    # Using set intersection to find common tags
+    common_tags = set(articles[0]["tags"])
+    for article in articles[1:]:
+        common_tags.intersection_update(article["tags"])
+
+    return common_tags