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@codeflash-ai codeflash-ai bot commented Dec 17, 2025

📄 5% (0.05x) speedup for PandasIndexingAdapter._vindex_get in xarray/core/indexing.py

⏱️ Runtime : 1.57 milliseconds 1.49 milliseconds (best of 26 runs)

📝 Explanation and details

The optimization applies a conditional type check to avoid redundant function calls in the PandasIndexingAdapter.__init__ method. The key change is:

# Original: Always calls safe_cast_to_index
self.array = safe_cast_to_index(array)

# Optimized: Only calls safe_cast_to_index if not already a pd.Index
self.array = safe_cast_to_index(array) if not isinstance(array, pd.Index) else array

Why this optimization works:

  • safe_cast_to_index performs type checking and conversion logic, but if the input is already a pd.Index, it simply returns the same object unchanged
  • By adding an isinstance(array, pd.Index) check upfront, we skip the entire function call overhead when the array is already the correct type
  • This eliminates the cost of function call dispatch, internal type checking within safe_cast_to_index, and potential object wrapping/unwrapping

Performance impact:

  • The 5% speedup suggests this optimization is beneficial when PandasIndexingAdapter is frequently instantiated with objects that are already pd.Index instances
  • The micro-optimization reduces CPU cycles spent on redundant type validation and function call overhead
  • Since pandas Index objects are commonly passed around in xarray's indexing operations, this fast-path gets exercised frequently

Test case suitability:
This optimization is most effective when the array parameter is already a pd.Index object, which appears to be a common case in xarray's internal data processing pipelines where pandas indexes are frequently reused and passed between components.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 🔘 None Found
⏪ Replay Tests 36 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 66.7%
⏪ Replay Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
test_pytest_xarrayteststest_concat_py_xarrayteststest_computation_py_xarrayteststest_formatting_py_xarray__replay_test_0.py::test_xarray_core_indexing_PandasIndexingAdapter__vindex_get 705μs 688μs 2.55%✅

To edit these changes git checkout codeflash/optimize-PandasIndexingAdapter._vindex_get-mja629j0 and push.

Codeflash Static Badge

The optimization applies a **conditional type check** to avoid redundant function calls in the `PandasIndexingAdapter.__init__` method. The key change is:

```python
# Original: Always calls safe_cast_to_index
self.array = safe_cast_to_index(array)

# Optimized: Only calls safe_cast_to_index if not already a pd.Index
self.array = safe_cast_to_index(array) if not isinstance(array, pd.Index) else array
```

**Why this optimization works:**
- `safe_cast_to_index` performs type checking and conversion logic, but if the input is already a `pd.Index`, it simply returns the same object unchanged
- By adding an `isinstance(array, pd.Index)` check upfront, we skip the entire function call overhead when the array is already the correct type
- This eliminates the cost of function call dispatch, internal type checking within `safe_cast_to_index`, and potential object wrapping/unwrapping

**Performance impact:**
- The 5% speedup suggests this optimization is beneficial when `PandasIndexingAdapter` is frequently instantiated with objects that are already `pd.Index` instances
- The micro-optimization reduces CPU cycles spent on redundant type validation and function call overhead
- Since pandas Index objects are commonly passed around in xarray's indexing operations, this fast-path gets exercised frequently

**Test case suitability:**
This optimization is most effective when the `array` parameter is already a `pd.Index` object, which appears to be a common case in xarray's internal data processing pipelines where pandas indexes are frequently reused and passed between components.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 December 17, 2025 15:28
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Dec 17, 2025
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⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash

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