⚡️ Speed up method bittrade.parse_ticker by 20%
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The optimized code achieves a 20% speedup primarily through micro-optimizations that reduce Python overhead in hot functions:
**Key Optimizations:**
1. **Faster Dictionary Initialization in `__init__`**: Replaced ternary operations with direct `if None` checks (`if self.precision is None: self.precision = {}` vs `dict() if self.precision is None else self.precision`). This eliminates redundant function calls to `dict()` and reduces object creation overhead.
2. **Optimized `safe_string` Method**: Replaced the heavy `Exchange.key_exists()` function with a direct try/catch approach using dictionary access. This eliminates multiple isinstance checks and function call overhead, while also handling edge cases like empty strings more efficiently.
3. **Streamlined `safe_integer` Method**: Similar to `safe_string`, replaced `Exchange.key_exists()` with direct dictionary access and added early validation for None/empty values before attempting type conversion.
4. **Improved `iso8601` Function**: Consolidated input validation into a single check (`if not isinstance(timestamp, int) or timestamp is None`) and optimized string formatting using f-strings instead of `.format()` method calls.
5. **Method Caching in `safe_ticker`**: Added local variable binding for frequently accessed methods (`safe_string = self.safe_string`) to avoid repeated attribute lookups in the hot path where these functions are called dozens of times.
6. **Reduced Function Calls in `parse_ticker`**: Cached method references at the start of the function to eliminate repeated `self.method` lookups during tight loops.
**Performance Impact**: These optimizations are particularly effective for the ticker parsing workload shown in tests, where functions like `safe_string` are called 97,576 times. The optimizations show consistent 10-25% improvements across different test cases, with the largest gains (42.3% faster) occurring in minimal field scenarios where the reduced overhead has the most relative impact.
**Compatibility**: All optimizations maintain identical functionality and output while reducing computational overhead, making them safe for existing workloads without behavioral changes.
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📄 20% (0.20x) speedup for
bittrade.parse_tickerinpython/ccxt/async_support/bittrade.py⏱️ Runtime :
125 milliseconds→104 milliseconds(best of32runs)📝 Explanation and details
The optimized code achieves a 20% speedup primarily through micro-optimizations that reduce Python overhead in hot functions:
Key Optimizations:
Faster Dictionary Initialization in
__init__: Replaced ternary operations with directif Nonechecks (if self.precision is None: self.precision = {}vsdict() if self.precision is None else self.precision). This eliminates redundant function calls todict()and reduces object creation overhead.Optimized
safe_stringMethod: Replaced the heavyExchange.key_exists()function with a direct try/catch approach using dictionary access. This eliminates multiple isinstance checks and function call overhead, while also handling edge cases like empty strings more efficiently.Streamlined
safe_integerMethod: Similar tosafe_string, replacedExchange.key_exists()with direct dictionary access and added early validation for None/empty values before attempting type conversion.Improved
iso8601Function: Consolidated input validation into a single check (if not isinstance(timestamp, int) or timestamp is None) and optimized string formatting using f-strings instead of.format()method calls.Method Caching in
safe_ticker: Added local variable binding for frequently accessed methods (safe_string = self.safe_string) to avoid repeated attribute lookups in the hot path where these functions are called dozens of times.Reduced Function Calls in
parse_ticker: Cached method references at the start of the function to eliminate repeatedself.methodlookups during tight loops.Performance Impact: These optimizations are particularly effective for the ticker parsing workload shown in tests, where functions like
safe_stringare called 97,576 times. The optimizations show consistent 10-25% improvements across different test cases, with the largest gains (42.3% faster) occurring in minimal field scenarios where the reduced overhead has the most relative impact.Compatibility: All optimizations maintain identical functionality and output while reducing computational overhead, making them safe for existing workloads without behavioral changes.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-bittrade.parse_ticker-mhy8usn1and push.