⚡️ Speed up method ReadInstruction._read_instruction_from_relative_instructions by 24%#110
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The optimization achieves a **24% runtime improvement** (from 300μs to 242μs) by eliminating an unnecessary method call overhead in the `_read_instruction_from_relative_instructions` factory method. **Key Change:** The optimized code replaces `result._init(relative_instructions)` with direct attribute assignment `result._relative_instructions = relative_instructions`. **Why This Is Faster:** 1. **Eliminated Method Call Overhead**: The original code called `_init()` which added Python's method dispatch overhead (function call setup, stack frame creation, argument passing). The line profiler shows this call took ~1.07ms (55% of total time). Direct attribute assignment reduces this to ~478μs (34% of total time). 2. **Simplified Execution Path**: Since `_init()` only performs a single attribute assignment (`self._relative_instructions = relative_instructions`), calling it adds no semantic value - it's a wrapper around exactly what we need to do. By directly assigning the attribute, we achieve the same result with fewer CPU instructions. 3. **Micro-optimization Impact**: The line profiler data shows the `_init()` call was the bottleneck, consuming over half the function's execution time. Eliminating this overhead while keeping the essential logic (creating a new instance via `__new__` and setting its attributes) delivers the performance gain. **Trade-offs:** This optimization bypasses the `_init()` abstraction layer, but this is acceptable because: - `_init()` currently only performs this single assignment - The factory method is explicitly designed to bypass `__init__` (as noted in the comment) - The performance benefit is substantial and measurable **Test Case Performance:** The annotated tests show consistent improvements across all scenarios (6-40% faster per test case), with the largest gains appearing in edge cases involving complex relative instruction combinations. This suggests the optimization is particularly beneficial when this factory method is called frequently, such as when combining multiple ReadInstructions or processing dataset splits.
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📄 24% (0.24x) speedup for
ReadInstruction._read_instruction_from_relative_instructionsinsrc/datasets/arrow_reader.py⏱️ Runtime :
300 microseconds→242 microseconds(best of91runs)📝 Explanation and details
The optimization achieves a 24% runtime improvement (from 300μs to 242μs) by eliminating an unnecessary method call overhead in the
_read_instruction_from_relative_instructionsfactory method.Key Change:
The optimized code replaces
result._init(relative_instructions)with direct attribute assignmentresult._relative_instructions = relative_instructions.Why This Is Faster:
Eliminated Method Call Overhead: The original code called
_init()which added Python's method dispatch overhead (function call setup, stack frame creation, argument passing). The line profiler shows this call took ~1.07ms (55% of total time). Direct attribute assignment reduces this to ~478μs (34% of total time).Simplified Execution Path: Since
_init()only performs a single attribute assignment (self._relative_instructions = relative_instructions), calling it adds no semantic value - it's a wrapper around exactly what we need to do. By directly assigning the attribute, we achieve the same result with fewer CPU instructions.Micro-optimization Impact: The line profiler data shows the
_init()call was the bottleneck, consuming over half the function's execution time. Eliminating this overhead while keeping the essential logic (creating a new instance via__new__and setting its attributes) delivers the performance gain.Trade-offs:
This optimization bypasses the
_init()abstraction layer, but this is acceptable because:_init()currently only performs this single assignment__init__(as noted in the comment)Test Case Performance:
The annotated tests show consistent improvements across all scenarios (6-40% faster per test case), with the largest gains appearing in edge cases involving complex relative instruction combinations. This suggests the optimization is particularly beneficial when this factory method is called frequently, such as when combining multiple ReadInstructions or processing dataset splits.
✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
To edit these changes
git checkout codeflash/optimize-ReadInstruction._read_instruction_from_relative_instructions-mlccujvvand push.