⚡️ Speed up method CaseManagementApi.search_cases_with_pagination by 7%#10
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The optimized code achieves a 6% speedup through several targeted micro-optimizations:
**Key Optimizations:**
1. **Reduced String Operations in `get_attribute_from_path`**: The original code called `path.split(".")` in the for-loop header, which is executed every loop iteration. The optimized version saves the split result to `elts` variable once, eliminating redundant string operations.
2. **Improved Dictionary Assignment in `set_attribute_from_path`**: Replaced `elts.pop(-1)` with direct indexing `elts[-1]`, avoiding the overhead of list modification. The optimized version uses `dict.setdefault()` when possible, which atomically checks for key existence and assigns a default value, reducing multiple dictionary operations.
3. **Batched Parameter Processing**: Instead of 5 separate conditional checks for each parameter (`page_size`, `page_number`, etc.), the optimized version uses a tuple of parameter pairs and processes them in a single loop. This reduces branching overhead and improves instruction cache efficiency.
4. **Cached Attribute Access**: The optimized version stores `endpoint.params_map` in a local variable rather than accessing the attribute twice through the dot operator, eliminating redundant attribute lookups.
**Performance Characteristics:**
These optimizations are most effective for:
- Frequent API calls with multiple parameters (reduced conditional overhead)
- Deep nested path operations (fewer string operations and dictionary lookups)
- High-throughput scenarios where micro-optimizations compound
The 6% improvement comes primarily from reducing Python interpreter overhead in string operations, dictionary access patterns, and conditional branching - all common bottlenecks in API client libraries.
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📄 7% (0.07x) speedup for
CaseManagementApi.search_cases_with_paginationinsrc/datadog_api_client/v2/api/case_management_api.py⏱️ Runtime :
180 microseconds→169 microseconds(best of30runs)📝 Explanation and details
The optimized code achieves a 6% speedup through several targeted micro-optimizations:
Key Optimizations:
Reduced String Operations in
get_attribute_from_path: The original code calledpath.split(".")in the for-loop header, which is executed every loop iteration. The optimized version saves the split result toeltsvariable once, eliminating redundant string operations.Improved Dictionary Assignment in
set_attribute_from_path: Replacedelts.pop(-1)with direct indexingelts[-1], avoiding the overhead of list modification. The optimized version usesdict.setdefault()when possible, which atomically checks for key existence and assigns a default value, reducing multiple dictionary operations.Batched Parameter Processing: Instead of 5 separate conditional checks for each parameter (
page_size,page_number, etc.), the optimized version uses a tuple of parameter pairs and processes them in a single loop. This reduces branching overhead and improves instruction cache efficiency.Cached Attribute Access: The optimized version stores
endpoint.params_mapin a local variable rather than accessing the attribute twice through the dot operator, eliminating redundant attribute lookups.Performance Characteristics:
These optimizations are most effective for:
The 6% improvement comes primarily from reducing Python interpreter overhead in string operations, dictionary access patterns, and conditional branching - all common bottlenecks in API client libraries.
✅ Correctness verification report:
🔎 Concolic Coverage Tests and Runtime
To edit these changes
git checkout codeflash/optimize-CaseManagementApi.search_cases_with_pagination-mgbpen32and push.