⚡️ Speed up function _rel_to_abs_instr by 19%#109
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⚡️ Speed up function _rel_to_abs_instr by 19%#109codeflash-ai[bot] wants to merge 1 commit intomainfrom
_rel_to_abs_instr by 19%#109codeflash-ai[bot] wants to merge 1 commit intomainfrom
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This optimization achieves a **19% runtime improvement** by restructuring control flow to eliminate redundant operations in the hot path of the `_rel_to_abs_instr` function. **Key Optimizations:** 1. **Lazy pct_to_abs Function Selection (Primary Speedup)** - **Original**: Selected `pct_to_abs` function unconditionally at the start, even when not needed for non-percentage units - **Optimized**: Moved selection inside the `if rel_instr.unit == "%"` block, eliminating unnecessary attribute lookup and conditional evaluation for ~84% of test cases (227 absolute vs 43 percentage calls) - **Impact**: Saves ~180-190ns per call in the absolute unit path (visible in line profiler: 185825ns → 22406ns for pct_to_abs selection) 2. **Streamlined Boundary Clamping Logic** - **Original**: Used `min()` operations for all values regardless of whether they exceeded bounds - **Optimized**: Replaced with `elif` chains that only apply clamping when needed (`if from_ < 0: ... elif from_ > num_examples: ...`) - **Impact**: Reduces function call overhead and eliminates unnecessary comparisons when values are already in valid range 3. **Reduced min() Function Overhead** - **Original**: 4 `min()/max()` calls per invocation (2 for from_, 2 for to) - **Optimized**: Conditional assignment eliminates 2 `min()` calls when values don't exceed boundaries - **Impact**: Particularly beneficial for absolute unit instructions where indices are typically pre-validated **Performance Context from function_references:** The function is called within `to_absolute()` via list comprehension, iterating over `_relative_instructions`. This means: - The optimization compounds when processing multiple split instructions - The 19% per-call speedup translates directly to dataset loading performance - Since dataset splits are processed during initialization, this optimization reduces startup latency **Test Case Analysis:** The optimization excels across all scenarios: - **Absolute unit cases** (most common): 22-35% faster due to eliminated pct_to_abs selection - **Percentage cases**: 9-16% faster from streamlined clamping logic - **Boundary handling** (negative indices, exceeding bounds): 13-32% faster from elif optimization - **Sequential operations** (100-iteration tests): 21% faster, showing consistent performance gain The optimization maintains correctness while improving runtime through smarter conditional evaluation ordering that matches actual usage patterns (absolute units more common than percentages).
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📄 19% (0.19x) speedup for
_rel_to_abs_instrinsrc/datasets/arrow_reader.py⏱️ Runtime :
474 microseconds→397 microseconds(best of117runs)📝 Explanation and details
This optimization achieves a 19% runtime improvement by restructuring control flow to eliminate redundant operations in the hot path of the
_rel_to_abs_instrfunction.Key Optimizations:
Lazy pct_to_abs Function Selection (Primary Speedup)
pct_to_absfunction unconditionally at the start, even when not needed for non-percentage unitsif rel_instr.unit == "%"block, eliminating unnecessary attribute lookup and conditional evaluation for ~84% of test cases (227 absolute vs 43 percentage calls)Streamlined Boundary Clamping Logic
min()operations for all values regardless of whether they exceeded boundselifchains that only apply clamping when needed (if from_ < 0: ... elif from_ > num_examples: ...)Reduced min() Function Overhead
min()/max()calls per invocation (2 for from_, 2 for to)min()calls when values don't exceed boundariesPerformance Context from function_references:
The function is called within
to_absolute()via list comprehension, iterating over_relative_instructions. This means:Test Case Analysis:
The optimization excels across all scenarios:
The optimization maintains correctness while improving runtime through smarter conditional evaluation ordering that matches actual usage patterns (absolute units more common than percentages).
✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
To edit these changes
git checkout codeflash/optimize-_rel_to_abs_instr-mlccl8m1and push.