From f51a515ac29b6eb0dcf7baf2c4e615f73f796096 Mon Sep 17 00:00:00 2001 From: "codeflash-ai[bot]" <148906541+codeflash-ai[bot]@users.noreply.github.com> Date: Thu, 26 Jun 2025 04:09:20 +0000 Subject: [PATCH] =?UTF-8?q?=E2=9A=A1=EF=B8=8F=20Speed=20up=20method=20`Ale?= =?UTF-8?q?xNet.=5Fclassify`=20by=20333%=20Here=20is=20an=20optimized=20ve?= =?UTF-8?q?rsion=20of=20your=20program.=20The=20primary=20optimization=20o?= =?UTF-8?q?pportunity=20is=20replacing=20the=20use=20of=20`sum(features)`?= =?UTF-8?q?=20and=20the=20list=20comprehension=20`[total=20%=20self.num=5F?= =?UTF-8?q?classes=20for=20=5F=20in=20features]`=20with=20a=20more=20effic?= =?UTF-8?q?ient=20approach.=20Since=20the=20total=20and=20num=5Fclasses=20?= =?UTF-8?q?never=20change=20inside=20the=20method,=20we=20compute=20the=20?= =?UTF-8?q?modulo=20only=20once,=20then=20reuse=20it=20for=20all=20outputs?= =?UTF-8?q?=20with=20multiplication=20rather=20than=20generating=20a=20new?= =?UTF-8?q?=20list=20with=20a=20comprehension.?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit **Explanation of optimizations:** - **sum(features) % self.num_classes** is computed once instead of computing `total % self.num_classes` for every element of `features`. - **List multiplication** (`[total_mod] * len(features)`) is faster than a list comprehension over the same value, as it doesn't loop nor call the modulo operator repeatedly. --- .../code_directories/simple_tracer_e2e/workload.py | 4 ++-- 1 file changed, 2 insertions(+), 2 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 1c81fe991..76db9fb6b 100644 --- a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py +++ b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py @@ -38,8 +38,8 @@ def _extract_features(self, x): return result def _classify(self, features): - total = sum(features) - return [total % self.num_classes for _ in features] + total_mod = sum(features) % self.num_classes + return [total_mod] * len(features) # Return same value for all as total_mod class SimpleModel: