⚡️ Speed up method bitrue.calculate_rate_limiter_cost by 60%
#71
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📄 60% (0.60x) speedup for
bitrue.calculate_rate_limiter_costinpython/ccxt/bitrue.py⏱️ Runtime :
355 microseconds→222 microseconds(best of34runs)📝 Explanation and details
The optimized code achieves a 60% speedup through two key improvements to hot-path methods in the CCXT exchange library:
1.
safe_valueFast-Path OptimizationThe original implementation called
Exchange.key_exists()for every dictionary lookup, which involved multiple type checks and exception handling. The optimized version adds a fast-path for regular dictionaries (the overwhelming use case) by checkingisinstance(dictionary, dict)first and using the built-indict.get()method directly. This eliminates:Exchange.key_exists)2. Loop Iteration Optimization
The
calculate_rate_limiter_costmethod replaced an index-based loop (for i in range(0, len(byLimit))) with direct iteration (for entry in byLimit). This eliminates:range()object creationlen()function callsbyLimit[i])Performance Impact Analysis
The line profiler shows dramatic improvements:
safe_value: 518,050ns → 214,208ns (58.6% faster)calculate_rate_limiter_cost: Reduced overhead across 7,400+ iterationsTest Case Performance
The annotated tests show consistent 50-85% improvements across various scenarios, with particularly strong gains in:
byLimitarrays (17.4μs → 11.2μs for 1000 entries)These optimizations are particularly valuable because
safe_valueis a utility method likely called throughout the CCXT library for configuration and parameter access, whilecalculate_rate_limiter_costruns in API request hot paths where rate limiting calculations occur frequently.✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-bitrue.calculate_rate_limiter_cost-mhy56u13and push.