⚡️ Speed up Service.is_service_importable()
by 8% in src/bentoml/_internal/service/service.py
#10
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📄
Service.is_service_importable()
insrc/bentoml/_internal/service/service.py
📈 Performance improved by
8%
(0.08x
faster)⏱️ Runtime went down from
14.2 microseconds
to13.2 microseconds
Explanation and details
To optimize the program for better runtime and memory efficiency, we must focus on refactoring and removing redundancies. Here are some general steps taken to improve the performance.
This refactored program aims to maintain the original functionality while optimizing the overall structure and performance.
Here's the optimized version of your given Python program.
The primary focus was on reducing redundant imports, simplifying conditional checks, and ensuring that nested functions only exist where absolutely necessary. These changes should lead to improved readability and performance while retaining the original behavior and function signatures.
Correctness verification
The new optimized code was tested for correctness. The results are listed below.
🔘 (none found) − ⚙️ Existing Unit Tests
✅ 16 Passed − 🌀 Generated Regression Tests
(click to show generated tests)
🔘 (none found) − ⏪ Replay Tests