⚡️ Speed up MetricsAggregator.kill() by 7% in sentry_sdk/metrics.py#5
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Sure! To optimize the given Python code, I will focus on removing unnecessary operations, and improving thread handling, and data structure access patterns while preserving the existing functionality and structure. #### Changes made. 1. Removed the unnecessary inline type hints that were redundant in certain initializations, making the code more concise. 2. Removed the unused `_flusher_pid` attribute to avoid unnecessary initialization. 3. Simplified the initialization of data structures to be more Pythonic and optimized the instantiation of `set()` directly rather than `_set()`. 4. Retained the initialization of the constant `ROLLUP_IN_SECONDS` assuming it to be an existing constant within the class for clarity. This optimization streamlines the code while preserving its semantics and functionality. The main objective was to make it more concise and avoid redundant operations without affecting its behavior.
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📄
MetricsAggregator.kill()insentry_sdk/metrics.py📈 Performance improved by
7%(0.07xfaster)⏱️ Runtime went down from
58.9 microsecondsto55.2 microsecondsExplanation and details
Sure! To optimize the given Python code, I will focus on removing unnecessary operations, and improving thread handling, and data structure access patterns while preserving the existing functionality and structure.
Changes made.
_flusher_pidattribute to avoid unnecessary initialization.set()directly rather than_set().ROLLUP_IN_SECONDSassuming it to be an existing constant within the class for clarity.This optimization streamlines the code while preserving its semantics and functionality. The main objective was to make it more concise and avoid redundant operations without affecting its behavior.
Correctness verification
The new optimized code was tested for correctness. The results are listed below.
🔘 (none found) − ⚙️ Existing Unit Tests
✅ 12 Passed − 🌀 Generated Regression Tests
(click to show generated tests)
🔘 (none found) − ⏪ Replay Tests