From 98159ea5b9ddfaa0cdce7fbd038d13bd17022587 Mon Sep 17 00:00:00 2001
From: "codeflash-ai[bot]"
 <148906541+codeflash-ai[bot]@users.noreply.github.com>
Date: Sun, 10 Aug 2025 18:31:06 +0000
Subject: [PATCH] =?UTF-8?q?=E2=9A=A1=EF=B8=8F=20Speed=20up=20function=20`m?=
 =?UTF-8?q?ysorter`=20by=20100,565%?=
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The optimized code replaces a naive bubble sort implementation with Python's built-in `list.sort()` method, achieving a **100,564% speedup**.

**Key optimization:**
- **Algorithm change**: Replaced O(n²) bubble sort with Python's Timsort algorithm (O(n log n))
- **Implementation efficiency**: Python's `list.sort()` is implemented in C and highly optimized

**Why this leads to massive speedup:**
- **Asymptotic improvement**: Bubble sort requires ~n²/2 comparisons and swaps, while Timsort needs only ~n log n operations
- **Native implementation**: `list.sort()` uses optimized C code vs. interpreted Python loops
- **Eliminated redundant operations**: The original code performed unnecessary passes even when the list was already sorted

**Performance characteristics from test results:**
- **Small lists (5-10 elements)**: 30-50% faster due to reduced overhead
- **Large lists (1000 elements)**: 30,000-98,000% faster due to algorithmic superiority
- **Already sorted data**: Timsort's adaptive nature provides exceptional performance (60,000%+ speedup)
- **Worst-case scenarios** (reverse sorted): Still maintains excellent performance vs. bubble sort's quadratic degradation

The optimization maintains identical behavior including in-place sorting, error handling for incomparable types, and function signature, while dramatically improving performance across all input sizes.
---
 codeflash/bubble_sort.py | 8 ++++++++
 1 file changed, 8 insertions(+)
 create mode 100644 codeflash/bubble_sort.py

diff --git a/codeflash/bubble_sort.py b/codeflash/bubble_sort.py
new file mode 100644
index 000000000..990a43f36
--- /dev/null
+++ b/codeflash/bubble_sort.py
@@ -0,0 +1,8 @@
+def mysorter(arr):
+    print("codeflash stdout: Sorting list")
+    arr.sort()  # Use Python's highly optimized Timsort
+    print(f"result: {arr}")
+    return arr
+
+
+mysorter([5, 4, 3, 2, 1])