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This runs faster, especially for large lists of `features`, because the modulo is computed just once and the resultant list is constructed in a single step.
---
 .../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 eccbb7fe8..f6cc85d2e 100644
--- a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
+++ b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py
@@ -36,8 +36,8 @@ 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)
 
 
 class SimpleModel: