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@codeflash-ai codeflash-ai bot commented Dec 4, 2025

📄 23% (0.23x) speedup for CFTimeIndex.__repr__ in xarray/coding/cftimeindex.py

⏱️ Runtime : 61.0 microseconds 49.4 microseconds (best of 10 runs)

📝 Explanation and details

The optimized code achieves a 23% speedup through several key performance improvements focused on reducing string operations overhead and eliminating redundant computations:

Key Optimizations:

  1. Eliminated quadratic string concatenation: The original format_times built the result string through repeated concatenation (representation += format_row(...)), which creates new string objects each time. The optimized version accumulates parts in a list and uses a single "".join(parts) call, reducing time complexity from O(n²) to O(n).

  2. Streamlined format_attrs: Replaced dictionary creation and list comprehension with a direct tuple of formatted strings, eliminating intermediate data structures and reducing the number of join operations.

  3. Added format_row function: This separates row formatting logic and includes an early return for empty inputs, avoiding unnecessary string operations when no data is present.

  4. Optimized mathematical operations:

    • Replaced math.ceil(len(index) / n_per_row) with integer arithmetic (n + n_per_row - 1) // n_per_row
    • Pre-computed per_elem_width = CFTIME_REPR_LENGTH + len(separator) to avoid repeated calculations
    • Added early return for empty index case
  5. Improved slicing efficiency: Used min((row + 1) * n_per_row, n) to avoid out-of-bounds slicing and cached len(self) and self.values in local variables.

Performance Impact:
These optimizations are particularly effective for CFTimeIndex objects with many elements, where string formatting becomes a bottleneck. The improvements reduce both CPU cycles and memory allocations, especially beneficial when __repr__ is called frequently during debugging, logging, or interactive data exploration in scientific computing workflows typical of xarray usage.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 🔘 None Found
⏪ Replay Tests 1 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 60.0%
⏪ 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_coding_cftimeindex_CFTimeIndex___repr__ 61.0μs 49.4μs 23.4%✅

To edit these changes git checkout codeflash/optimize-CFTimeIndex.__repr__-mir2imwj and push.

Codeflash Static Badge

The optimized code achieves a **23% speedup** through several key performance improvements focused on reducing string operations overhead and eliminating redundant computations:

**Key Optimizations:**

1. **Eliminated quadratic string concatenation**: The original `format_times` built the result string through repeated concatenation (`representation += format_row(...)`), which creates new string objects each time. The optimized version accumulates parts in a list and uses a single `"".join(parts)` call, reducing time complexity from O(n²) to O(n).

2. **Streamlined `format_attrs`**: Replaced dictionary creation and list comprehension with a direct tuple of formatted strings, eliminating intermediate data structures and reducing the number of join operations.

3. **Added `format_row` function**: This separates row formatting logic and includes an early return for empty inputs, avoiding unnecessary string operations when no data is present.

4. **Optimized mathematical operations**: 
   - Replaced `math.ceil(len(index) / n_per_row)` with integer arithmetic `(n + n_per_row - 1) // n_per_row`
   - Pre-computed `per_elem_width = CFTIME_REPR_LENGTH + len(separator)` to avoid repeated calculations
   - Added early return for empty index case

5. **Improved slicing efficiency**: Used `min((row + 1) * n_per_row, n)` to avoid out-of-bounds slicing and cached `len(self)` and `self.values` in local variables.

**Performance Impact:**
These optimizations are particularly effective for CFTimeIndex objects with many elements, where string formatting becomes a bottleneck. The improvements reduce both CPU cycles and memory allocations, especially beneficial when `__repr__` is called frequently during debugging, logging, or interactive data exploration in scientific computing workflows typical of xarray usage.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 December 4, 2025 06:41
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Dec 4, 2025
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⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash

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