⚡️ Speed up method lbank.fetch_deposits by 40%#69
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⚡️ Speed up method lbank.fetch_deposits by 40%#69codeflash-ai[bot] wants to merge 1 commit intomasterfrom
lbank.fetch_deposits by 40%#69codeflash-ai[bot] wants to merge 1 commit intomasterfrom
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The optimized code achieves a **39% runtime improvement** and **1.0% throughput improvement** through three key micro-optimizations in the base Exchange class methods that are heavily called during transaction processing: **Key Optimizations:** 1. **`safe_value()` fast path**: Added a direct `dict.get()` call for the common case of `dict` + `str` key combinations, avoiding the expensive `Exchange.key_exists()` function call. Line profiler shows this reduced execution time from 219ms to 98ms (55% improvement). 2. **`extend()` method streamlining**: Eliminated redundant type checks and variable assignments, using cleaner conditional logic with early empty-args handling. The optimization reduces overhead by ~30ms while maintaining OrderedDict compatibility. 3. **`safe_list()` fast path**: Similar to `safe_value`, this adds a direct path for `dict`/`str` combinations that immediately checks if the value is a list, avoiding the slower `safe_list_n()` fallback. Execution time dropped from 250ms to 91ms (64% improvement). **Why These Optimizations Matter:** From the annotated tests, `fetch_deposits` processes financial transaction data where these utility methods are called repeatedly - `safe_value` is hit 103 times and `safe_list` 73 times per call. The optimizations are particularly effective for: - Large deposit lists (250+ records) where parsing overhead compounds - High-frequency API calls in trading applications - Bulk transaction processing scenarios The optimizations maintain full backward compatibility while providing substantial performance gains for the most common usage patterns (dict/string key combinations), making them ideal for production cryptocurrency exchange integrations where every microsecond counts.
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📄 40% (0.40x) speedup for
lbank.fetch_depositsinpython/ccxt/async_support/lbank.py⏱️ Runtime :
296 microseconds→212 microseconds(best of97runs)📝 Explanation and details
The optimized code achieves a 39% runtime improvement and 1.0% throughput improvement through three key micro-optimizations in the base Exchange class methods that are heavily called during transaction processing:
Key Optimizations:
safe_value()fast path: Added a directdict.get()call for the common case ofdict+strkey combinations, avoiding the expensiveExchange.key_exists()function call. Line profiler shows this reduced execution time from 219ms to 98ms (55% improvement).extend()method streamlining: Eliminated redundant type checks and variable assignments, using cleaner conditional logic with early empty-args handling. The optimization reduces overhead by ~30ms while maintaining OrderedDict compatibility.safe_list()fast path: Similar tosafe_value, this adds a direct path fordict/strcombinations that immediately checks if the value is a list, avoiding the slowersafe_list_n()fallback. Execution time dropped from 250ms to 91ms (64% improvement).Why These Optimizations Matter:
From the annotated tests,
fetch_depositsprocesses financial transaction data where these utility methods are called repeatedly -safe_valueis hit 103 times andsafe_list73 times per call. The optimizations are particularly effective for:The optimizations maintain full backward compatibility while providing substantial performance gains for the most common usage patterns (dict/string key combinations), making them ideal for production cryptocurrency exchange integrations where every microsecond counts.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-lbank.fetch_deposits-mhxo3gh8and push.