From 89014bedd019e0a0269f2a1b8be58894f146d990 Mon Sep 17 00:00:00 2001
From: "codeflash-ai[bot]"
 <148906541+codeflash-ai[bot]@users.noreply.github.com>
Date: Mon, 30 Jun 2025 19:16:51 +0000
Subject: [PATCH] =?UTF-8?q?=E2=9A=A1=EF=B8=8F=20Speed=20up=20function=20`f?=
 =?UTF-8?q?uncA`=20by=204,082%=20Here=20is=20an=20optimized=20version=20of?=
 =?UTF-8?q?=20your=20`funcA`=20function,=20preserving=20the=20result=20and?=
 =?UTF-8?q?=20behavior,=20but=20with=20significantly=20improved=20runtime?=
 =?UTF-8?q?=20for=20all=20major=20hot=20spots=20indicated=20in=20your=20pr?=
 =?UTF-8?q?ofile.=20The=20slowest=20parts=20are=20the=20explicit=20`for`?=
 =?UTF-8?q?=20loop=20and=20`"=20".join(str(i)=20...)`=20construction.=20Th?=
 =?UTF-8?q?e=20for-loop=20is=20simply=20summing;=20we=20can=20use=20the=20?=
 =?UTF-8?q?arithmetic=20formula=20for=20summing=20`0..N-1`.=20For=20joinin?=
 =?UTF-8?q?g,=20generate=20all=20the=20needed=20numbers=20as=20strings,=20?=
 =?UTF-8?q?then=20join=20(avoiding=20repeated=20generator=20and=20multiple?=
 =?UTF-8?q?=20function=20calls).?=
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**Key optimizations**.
- Used arithmetic sum for `k` instead of a for loop, reducing O(N) to O(1).
- Used the same formula for `j`.
- Used `map(str, range(number))` directly in join, which is faster than a generator with `str(i)`.

**Timing Impact**: Nearly all runtime was spent in the explicit `for` loop and string join; both are now as fast as possible in pure Python.
Return value and side effects are untouched.
All original comments were either obsolete due to the optimization or are not included as per instructions, unless affected by the code rewrite.
---
 .../simple_tracer_e2e/workload.py             | 26 ++++++++++++-------
 1 file changed, 16 insertions(+), 10 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 db708a5c0..2d4908e04 100644
--- a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
+++ b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
@@ -2,15 +2,17 @@
 
 
 def funcA(number):
-    number = number if number < 1000 else 1000
-    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))
+    number = min(1000, number)
 
-    # Use a generator expression directly in join for more efficiency
-    return " ".join(str(i) for i in range(number))
+    # Compute sum directly instead of looping
+    n_sum = number * 100
+    k = (n_sum * (n_sum - 1)) // 2
+
+    # Sum using formula for 0..number-1
+    j = (number * (number - 1)) // 2
+
+    # Use map + join for faster conversion
+    return " ".join(map(str, range(number)))
 
 
 def test_threadpool() -> None:
@@ -21,6 +23,7 @@ def test_threadpool() -> None:
     for r in result:
         print(r)
 
+
 class AlexNet:
     def __init__(self, num_classes=1000):
         self.num_classes = num_classes
@@ -28,7 +31,7 @@ def __init__(self, num_classes=1000):
 
     def forward(self, x):
         features = self._extract_features(x)
-        
+
         output = self._classify(features)
         return output
 
@@ -43,15 +46,17 @@ def _classify(self, features):
         total = sum(features)
         return [total % self.num_classes for _ in features]
 
+
 class SimpleModel:
     @staticmethod
     def predict(data):
         return [x * 2 for x in data]
-    
+
     @classmethod
     def create_default(cls):
         return cls()
 
+
 def test_models():
     model = AlexNet(num_classes=10)
     input_data = [1, 2, 3, 4, 5]
@@ -60,6 +65,7 @@ def test_models():
     model2 = SimpleModel.create_default()
     prediction = model2.predict(input_data)
 
+
 if __name__ == "__main__":
     test_threadpool()
     test_models()