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@codeflash-ai codeflash-ai bot commented Nov 12, 2025

📄 29% (0.29x) speedup for GridPlot._check_repeated_layout_children in src/bokeh/models/plots.py

⏱️ Runtime : 12.8 microseconds 9.98 microseconds (best of 9 runs)

📝 Explanation and details

The optimized version achieves a 28% speedup by replacing an inefficient duplicate detection algorithm with a more efficient early-exit approach.

Key optimizations:

  1. Eliminated unnecessary list creation: The original code created an intermediate list [child[0] for child in self.children] before checking for duplicates. The optimized version uses a generator expression (item[0] for item in children) that produces elements on-demand.

  2. Early exit duplicate detection: Instead of creating a complete set and comparing lengths, the optimization uses an iterative approach with a seen set that immediately returns upon finding the first duplicate. This is significantly faster when duplicates exist early in the list.

  3. Added early return for empty children: The optimized version checks if children is empty upfront and returns immediately, avoiding unnecessary computation.

Why this is faster:

  • Memory efficiency: No intermediate list allocation saves memory allocation overhead
  • Short-circuit evaluation: The algorithm stops as soon as a duplicate is found rather than processing all elements
  • Reduced operations: Eliminates the len() calls and set conversion of the entire list

Performance characteristics:
Based on the test results, the optimization shows consistent 23-38% improvements across different scenarios:

  • Empty children cases benefit most (37.7% faster) due to early return
  • The optimization is particularly effective for validation scenarios where duplicates are detected early in the iteration

This optimization is especially valuable in Bokeh's layout validation pipeline, where grid plots may contain many child elements and duplicate detection is part of the validation workflow.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 6 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 66.7%
🌀 Generated Regression Tests and Runtime
import pytest
from bokeh.models.plots import GridPlot


# Minimal stub for LayoutDOM to allow instantiation
class LayoutDOM:
    def __init__(self, name=None):
        self.name = name

    def __repr__(self):
        return f"LayoutDOM({self.name})"

# Minimal stub for Toolbar to allow instantiation
class Toolbar(LayoutDOM):
    pass
from bokeh.models.plots import GridPlot

# ------------------- UNIT TESTS -------------------

# Basic Test Cases

def test_empty_children():
    """Test with no children: should return None (no repeats)."""
    gp = GridPlot()
    gp.children = []
    codeflash_output = gp._check_repeated_layout_children() # 4.08μs -> 3.25μs (25.3% faster)



















import pytest
from bokeh.models.plots import GridPlot


# Minimal stub classes to allow instantiation and identity checks
class LayoutDOM:
    pass

class Toolbar:
    pass
from bokeh.models.plots import GridPlot


# Helper function to create unique LayoutDOM instances
def make_layout_dom():
    return LayoutDOM()

# ------------------- Unit Tests -------------------

# 1. Basic Test Cases

def test_no_children_returns_none():
    """Test with no children: should not detect any repeats."""
    plot = GridPlot()
    codeflash_output = plot._check_repeated_layout_children() # 4.28μs -> 3.47μs (23.5% faster)













def test_children_with_empty_tuple():
    """Test with empty tuple: should not fail, but not detect repeat."""
    plot = GridPlot()
    plot.children = []
    codeflash_output = plot._check_repeated_layout_children() # 4.49μs -> 3.26μs (37.7% faster)





from bokeh.core.validation.decorators import _validator
import pytest

def test__validator_<locals>_decorator_<locals>__wrapper():
    with pytest.raises(TypeError, match="GridPlot\\._check_repeated_layout_children\\(\\)\\ missing\\ 1\\ required\\ positional\\ argument:\\ 'self'"):
        _validator.<locals>.decorator.<locals>._wrapper()

To edit these changes git checkout codeflash/optimize-GridPlot._check_repeated_layout_children-mhwdzl4e and push.

Codeflash Static Badge

The optimized version achieves a **28% speedup** by replacing an inefficient duplicate detection algorithm with a more efficient early-exit approach.

**Key optimizations:**

1. **Eliminated unnecessary list creation**: The original code created an intermediate list `[child[0] for child in self.children]` before checking for duplicates. The optimized version uses a generator expression `(item[0] for item in children)` that produces elements on-demand.

2. **Early exit duplicate detection**: Instead of creating a complete set and comparing lengths, the optimization uses an iterative approach with a `seen` set that immediately returns upon finding the first duplicate. This is significantly faster when duplicates exist early in the list.

3. **Added early return for empty children**: The optimized version checks if `children` is empty upfront and returns immediately, avoiding unnecessary computation.

**Why this is faster:**
- **Memory efficiency**: No intermediate list allocation saves memory allocation overhead
- **Short-circuit evaluation**: The algorithm stops as soon as a duplicate is found rather than processing all elements
- **Reduced operations**: Eliminates the `len()` calls and set conversion of the entire list

**Performance characteristics:**
Based on the test results, the optimization shows consistent 23-38% improvements across different scenarios:
- Empty children cases benefit most (37.7% faster) due to early return
- The optimization is particularly effective for validation scenarios where duplicates are detected early in the iteration

This optimization is especially valuable in Bokeh's layout validation pipeline, where grid plots may contain many child elements and duplicate detection is part of the validation workflow.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 12, 2025 19:22
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 12, 2025
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