From 24c9af1a0492cc6ee9867be8b1662163f645191f Mon Sep 17 00:00:00 2001
From: "codeflash-ai[bot]"
 <148906541+codeflash-ai[bot]@users.noreply.github.com>
Date: Tue, 1 Jul 2025 22:56:57 +0000
Subject: [PATCH] =?UTF-8?q?=E2=9A=A1=EF=B8=8F=20Speed=20up=20function=20`f?=
 =?UTF-8?q?uncA`=20by=204,113%=20Here=E2=80=99s=20your=20optimized=20progr?=
 =?UTF-8?q?am,=20rewritten=20for=20maximal=20speed=20and=20reduced=20memor?=
 =?UTF-8?q?y=20use.=20**Key=20optimizations:**=201.=20**Replace=20O(N)=20l?=
 =?UTF-8?q?oop=20for=20summing=20with=20a=20direct=20formula**=20(`k=20=3D?=
 =?UTF-8?q?=20sum(range(number=20*=20100))=20=3D=3D=20(n-1)*n/2`):=20repla?=
 =?UTF-8?q?ces=20explicit=20iteration=20with=20a=20pure=20arithmetic=20exp?=
 =?UTF-8?q?ression=E2=80=94much=20faster.=202.=20**Use=20f-string=20and=20?=
 =?UTF-8?q?list=20comprehension=20for=20str=20join**=20(more=20efficient?=
 =?UTF-8?q?=20than=20generator=20expressions=20in=20CPython,=20better=20th?=
 =?UTF-8?q?an=20repeated=20calls).=203.=20Avoid=20unnecessary=20assignment?=
 =?UTF-8?q?s=20and=20keep=20only=20results=20relevant=20for=20function=20o?=
 =?UTF-8?q?utput=20if=20required,=20but=20per=20your=20request,=20we=20mus?=
 =?UTF-8?q?t=20keep=20the=20function=20return=20unchanged.?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Optimized code.

### Notes.
- The core bottleneck was the explicit `for`-loop for summing, replaced by the direct formula.
- `" ".join(str(i) for i in range(number))` is very slightly slower than `.join([str(i) for i in range(number)])` in most versions of CPython for large numbers, due to generator overhead.
- Memory use for `join` is `O(n)` in all cases, but the rest of the function is now minimal.

This should **greatly reduce the runtime** (from hundreds of ms to a small fraction), as almost all the time was being spent in the explicit for-loops.
---
 .../simple_tracer_e2e/workload.py              | 18 ++++++++++--------
 1 file changed, 10 insertions(+), 8 deletions(-)

diff --git a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
index 1c6a3f1f4..43a7b141a 100644
--- a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
+++ b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
@@ -3,14 +3,15 @@
 
 def funcA(number):
     number = min(1000, number)
-    k = 0
-    for i in range(number * 100):
-        k += i
-    # Simplify the for loop by using sum with a range object
-    j = sum(range(number))
+    # Use the arithmetic sum formula instead of the loop for summing numbers
+    n = number * 100
+    k = (n - 1) * n // 2
 
-    # Use a generator expression directly in join for more efficiency
-    return " ".join(str(i) for i in range(number))
+    # Use the arithmetic sum formula for sum(range(number))
+    j = (number - 1) * number // 2
+
+    # Using list comprehension is slightly faster in CPython for join than generator
+    return " ".join([str(i) for i in range(number)])
 
 
 def test_threadpool() -> None:
@@ -42,7 +43,8 @@ def _extract_features(self, x):
 
     def _classify(self, features):
         total = sum(features)
-        return [total % self.num_classes for _ in features]
+        mod_val = total % self.num_classes
+        return [mod_val] * len(features)
 
 
 class SimpleModel: