⚡️ Speed up method bitmart.custom_parse_balance by 43%#79
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⚡️ Speed up method bitmart.custom_parse_balance by 43%#79codeflash-ai[bot] wants to merge 1 commit intomasterfrom
bitmart.custom_parse_balance by 43%#79codeflash-ai[bot] wants to merge 1 commit intomasterfrom
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The optimized code achieves a **42% speedup** by eliminating function call overhead and optimizing dictionary lookups in hot-path methods. The key optimizations focus on the most frequently called methods identified by the profiler: **What was optimized:** 1. **Fast-path dictionary lookups**: `safe_string`, `safe_string_2`, `safe_string_n`, `safe_dict`, and `safe_list` now use direct `dict.get()` calls for the common case where the input is a dictionary, avoiding the expensive `Exchange.key_exists()` machinery that includes type checking and exception handling. 2. **Inlined balance processing**: The `safe_balance` method eliminates repeated `self.safe_string()` calls by directly accessing dictionary values with `dict.get()`, reducing function call overhead in the tight loop that processes each currency code. 3. **Early exit optimization**: `safe_currency_code` adds a fast check for non-None inputs to avoid unnecessary function calls in the common case. **Why this leads to speedup:** - **Reduced function call overhead**: The original code made ~49,609 calls to `safe_string` with 1232ns per call. The optimized version reduces this significantly by inlining dictionary access. - **Faster dictionary access**: Using `dict.get()` directly instead of `Exchange.key_exists()` eliminates isinstance checks, exception handling, and multiple function calls. - **Loop optimization**: In `safe_balance`, the most expensive method (22.5% of runtime), inlining dictionary access eliminates thousands of function calls per balance processing operation. **Test case performance:** The optimization excels across all test scenarios, with particularly strong gains on: - Large-scale tests (49-58% faster) where the loop optimizations compound - Edge cases with missing fields (33-47% faster) due to efficient None handling - Basic operations (14-29% faster) from reduced overhead This optimization maintains identical behavior while dramatically improving performance for cryptocurrency exchange balance parsing, which is typically called frequently in trading applications.
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📄 43% (0.43x) speedup for
bitmart.custom_parse_balanceinpython/ccxt/async_support/bitmart.py⏱️ Runtime :
49.4 milliseconds→34.6 milliseconds(best of27runs)📝 Explanation and details
The optimized code achieves a 42% speedup by eliminating function call overhead and optimizing dictionary lookups in hot-path methods. The key optimizations focus on the most frequently called methods identified by the profiler:
What was optimized:
Fast-path dictionary lookups:
safe_string,safe_string_2,safe_string_n,safe_dict, andsafe_listnow use directdict.get()calls for the common case where the input is a dictionary, avoiding the expensiveExchange.key_exists()machinery that includes type checking and exception handling.Inlined balance processing: The
safe_balancemethod eliminates repeatedself.safe_string()calls by directly accessing dictionary values withdict.get(), reducing function call overhead in the tight loop that processes each currency code.Early exit optimization:
safe_currency_codeadds a fast check for non-None inputs to avoid unnecessary function calls in the common case.Why this leads to speedup:
safe_stringwith 1232ns per call. The optimized version reduces this significantly by inlining dictionary access.dict.get()directly instead ofExchange.key_exists()eliminates isinstance checks, exception handling, and multiple function calls.safe_balance, the most expensive method (22.5% of runtime), inlining dictionary access eliminates thousands of function calls per balance processing operation.Test case performance:
The optimization excels across all test scenarios, with particularly strong gains on:
This optimization maintains identical behavior while dramatically improving performance for cryptocurrency exchange balance parsing, which is typically called frequently in trading applications.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-bitmart.custom_parse_balance-mhz3aqxnand push.