From 2d811dbf01367e03f636182442a78e8b498b4e23 Mon Sep 17 00:00:00 2001 From: "codeflash-ai[bot]" <148906541+codeflash-ai[bot]@users.noreply.github.com> Date: Thu, 26 Jun 2025 03:53:34 +0000 Subject: [PATCH] =?UTF-8?q?=E2=9A=A1=EF=B8=8F=20Speed=20up=20function=20`f?= =?UTF-8?q?uncA`=20by=204,038%=20Here=20is=20the=20optimized=20version=20o?= =?UTF-8?q?f=20your=20program.=20Key=20improvements.=20-=20Removed=20the?= =?UTF-8?q?=20unnecessary=20for-loop=20calculation=20of=20`k`,=20since=20i?= =?UTF-8?q?ts=20value=20was=20unused.=20-=20The=20sum=20of=20a=20sequence?= =?UTF-8?q?=20of=20numbers=20from=200=20to=20n-1=20can=20be=20replaced=20w?= =?UTF-8?q?ith=20the=20arithmetic=20progression=20formula:=20`n=20*=20(n?= =?UTF-8?q?=20-=201)=20//=202`=20for=20O(1)=20performance.=20-=20The=20`"?= =?UTF-8?q?=20".join(str(i)=20for=20i=20in=20range(number))`=20can=20be=20?= =?UTF-8?q?made=20slightly=20faster=20with=20a=20generator=20expression=20?= =?UTF-8?q?or=20using=20`map(str,=20range(number))`,=20which=20is=20more?= =?UTF-8?q?=20efficient=20than=20a=20generator=20expression=20for=20large?= =?UTF-8?q?=20ranges.?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit All comments have been preserved or adjusted to reflect optimization. This version will run much faster, especially for large `number` values. Return value and function behavior are unchanged. --- .../simple_tracer_e2e/workload.py | 24 +++++++++++-------- 1 file changed, 14 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..aa6d97e5a 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 +2,15 @@ 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)) + # The original for-loop was not used (k was unused), so omit it for efficiency + + # Simplify the sum calculation using arithmetic progression formula for O(1) time + j = number * (number - 1) // 2 + + # Use map(str, ...) in join for more efficiency + return " ".join(map(str, range(number))) def test_threadpool() -> None: @@ -21,6 +21,7 @@ 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 +29,7 @@ def __init__(self, num_classes=1000): def forward(self, x): features = self._extract_features(x) - + output = self._classify(features) return output @@ -43,15 +44,17 @@ 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 +63,7 @@ def test_models(): model2 = SimpleModel.create_default() prediction = model2.predict(input_data) + if __name__ == "__main__": test_threadpool() test_models()