⚡️ Speed up function _encode_error_event by 53%#23
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The optimized version achieves a **53% speedup** through several key optimizations targeting the hot paths in protobuf encoding: **1. Single-byte varint caching**: A precomputed cache `_varint_single_byte_cache` eliminates repeated bytearray allocations for values 0-127 (common in field numbers, booleans, small integers). This directly optimizes `_varint()` and `_bool()` functions. **2. List-based concatenation strategy**: Both `_map_str_str()` and `_encode_error_event()` now use list accumulation with `b"".join()` instead of repeated `bytearray +=` operations. This reduces memory copying overhead significantly when building large messages. **3. Local function reference optimization**: In `_map_str_str()`, frequently called functions are cached as local variables (`append = outs.append`, `ld = _len_delimited`, `s = _string`) to avoid repeated attribute lookups in the inner loop. **Performance impact by test case**: - **Large-scale tests show the biggest gains**: 61.6% faster for 1000 attributes, 62.4% faster for large maps with long strings - **Small/medium tests**: Generally neutral to slightly faster (1-8% improvements) - **Edge cases**: Slight variations but consistent correctness The optimizations are most effective when encoding many map entries or building large messages, as evidenced by the dramatic improvements in tests with hundreds of attributes. For typical small error events, the overhead is minimal while maintaining the same significant benefits for high-throughput scenarios.
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📄 53% (0.53x) speedup for
_encode_error_eventinsrc/deepgram/extensions/telemetry/proto_encoder.py⏱️ Runtime :
3.87 milliseconds→2.53 milliseconds(best of356runs)📝 Explanation and details
The optimized version achieves a 53% speedup through several key optimizations targeting the hot paths in protobuf encoding:
1. Single-byte varint caching: A precomputed cache
_varint_single_byte_cacheeliminates repeated bytearray allocations for values 0-127 (common in field numbers, booleans, small integers). This directly optimizes_varint()and_bool()functions.2. List-based concatenation strategy: Both
_map_str_str()and_encode_error_event()now use list accumulation withb"".join()instead of repeatedbytearray +=operations. This reduces memory copying overhead significantly when building large messages.3. Local function reference optimization: In
_map_str_str(), frequently called functions are cached as local variables (append = outs.append,ld = _len_delimited,s = _string) to avoid repeated attribute lookups in the inner loop.Performance impact by test case:
The optimizations are most effective when encoding many map entries or building large messages, as evidenced by the dramatic improvements in tests with hundreds of attributes. For typical small error events, the overhead is minimal while maintaining the same significant benefits for high-throughput scenarios.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
🔎 Concolic Coverage Tests and Runtime
codeflash_concolic_7zeygj7s/tmpw2vaginn/test_concolic_coverage.py::test__encode_error_eventcodeflash_concolic_7zeygj7s/tmpw2vaginn/test_concolic_coverage.py::test__encode_error_event_2To edit these changes
git checkout codeflash/optimize-_encode_error_event-mh4jvqtdand push.