⚡️ Speed up function insert_env_line by 71%#4
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The optimized code achieves a **71% speedup** by replacing string concatenation with f-strings and using a list comprehension instead of a for loop with explicit appends.
**Key optimizations:**
1. **F-string formatting**: The original code uses string concatenation (`indent + "echo " + key + '="${{ secrets.' + key + ' }}" >> env'`) which creates multiple intermediate string objects. The optimized version uses a single f-string that performs the interpolation in one operation.
2. **List comprehension**: Instead of initializing an empty list and repeatedly calling `append()` in a loop, the optimized code uses a list comprehension to build the entire list in a single, more efficient operation.
**Why this is faster:**
- String concatenation in Python creates new string objects at each `+` operation due to string immutability, leading to O(n²) behavior for multiple concatenations
- F-strings are internally optimized and avoid intermediate string creation
- List comprehensions are implemented in C and avoid the overhead of repeated method calls to `append()`
- The line profiler shows the string building operation went from 46.1% of runtime to being absorbed into the list comprehension
**Performance characteristics:**
- Small inputs (1-5 keys): Modest improvements of 1-6% faster, sometimes slightly slower due to f-string overhead
- Large inputs (100+ keys): Dramatic improvements of 70-95% faster, where the O(n²) string concatenation penalty becomes severe
- Empty inputs: Slightly slower (~35-40%) due to list comprehension setup overhead, but this is negligible in absolute terms (microseconds)
This optimization is particularly effective for the large-scale test cases that generate hundreds of environment variable lines.
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📄 71% (0.71x) speedup for
insert_env_lineinhiggsfield/internal/experiment/builder.py⏱️ Runtime :
551 microseconds→322 microseconds(best of514runs)📝 Explanation and details
The optimized code achieves a 71% speedup by replacing string concatenation with f-strings and using a list comprehension instead of a for loop with explicit appends.
Key optimizations:
F-string formatting: The original code uses string concatenation (
indent + "echo " + key + '="${{ secrets.' + key + ' }}" >> env') which creates multiple intermediate string objects. The optimized version uses a single f-string that performs the interpolation in one operation.List comprehension: Instead of initializing an empty list and repeatedly calling
append()in a loop, the optimized code uses a list comprehension to build the entire list in a single, more efficient operation.Why this is faster:
+operation due to string immutability, leading to O(n²) behavior for multiple concatenationsappend()Performance characteristics:
This optimization is particularly effective for the large-scale test cases that generate hundreds of environment variable lines.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
🔎 Concolic Coverage Tests and Runtime
codeflash_concolic_3jg4m0fg/tmp5tjgx65n/test_concolic_coverage.py::test_insert_env_lineTo edit these changes
git checkout codeflash/optimize-insert_env_line-mglmq131and push.