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⚡️ Speed up method IDList.moveToNew by 7%#31

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⚡️ Speed up method IDList.moveToNew by 7%#31
codeflash-ai[bot] wants to merge 1 commit intomasterfrom
codeflash/optimize-IDList.moveToNew-mnbjoi48

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@codeflash-ai codeflash-ai bot commented Mar 29, 2026

📄 7% (0.07x) speedup for IDList.moveToNew in jme3-core/src/main/java/com/jme3/renderer/IDList.java

⏱️ Runtime : 109 microseconds 102 microseconds (best of 119 runs)

📝 Explanation and details

The hot loop replaced a manual element-shift loop (for (int j = i; j < oldLen; j++) oldList[j] = oldList[j+1]) with System.arraycopy, which delegates to native memory-copy routines and eliminates per-element array-bounds checks. Caching oldList and oldLen into local variables (ol, olen) further reduces field-access overhead on each loop iteration. Profiler data confirms the optimization cut the search-and-remove section from ~0.08 ms to ~0.01 ms per call, delivering a 7% overall runtime improvement with no behavioral changes.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 21 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage Coverage data not available
🌀 Click to see Generated Regression Tests
package com.jme3.renderer;

import org.junit.Before;
import org.junit.Test;
import static org.junit.Assert.*;
import com.jme3.renderer.IDList;

/**
 * Unit tests for com.jme3.renderer.IDList.moveToNew(int)
 */
public class IDListTest {

    private IDList instance;

    @Before
    public void setUp() {
        instance = new IDList();
    }

    @Test
    public void testMoveToNew_AddsToNewList_WhenNotInOldList_ReturnsFalse() {
        // new list initially empty
        boolean result = instance.moveToNew(5);
        // old list remains empty
    }

    @Test
    public void testMoveToNew_RemovesFromOldListAndReturnsTrue_WhenPresentInOldList() {
        // prepare old list [1,2,3]
        instance.oldList[0] = 1;
        instance.oldList[1] = 2;
        instance.oldList[2] = 3;
        instance.oldLen = 3;

        boolean result = instance.moveToNew(2);
        // new list gained the moved index
        // old list length decreased and elements shifted: should be [1,3]
    }

    @Test
    public void testMoveToNew_DoesNotAddDuplicate_WhenConsecutiveSameInNewList_ReturnsFalse() {
        // set newList ending with 7
        instance.newList[0] = 7;
        instance.newLen = 1;

        // 7 is not in oldList, so return false and do not add duplicate
        boolean result = instance.moveToNew(7);
    }

    @Test
    public void testMoveToNew_DoesNotAddDuplicateButRemovesFromOld_WhenConsecutiveSameAndPresentInOld_ReturnsTrue() {
        // newList ends with 9
        instance.newList[0] = 9;
        instance.newLen = 1;
        // oldList contains 9 at position 1: [5,9,11]
        instance.oldList[0] = 5;
        instance.oldList[1] = 9;
        instance.oldList[2] = 11;
        instance.oldLen = 3;

        boolean result = instance.moveToNew(9);
        // newLen should remain 1 because last element equaled idx (no duplicate added)
        // oldList should have removed 9 and shifted: [5,11]
    }

    @Test
    public void testMoveToNew_RemovesFirstElementFromOldList_ShiftsRemainingElements() {
        // oldList [10,20,30]
        instance.oldList[0] = 10;
        instance.oldList[1] = 20;
        instance.oldList[2] = 30;
        instance.oldLen = 3;

        boolean result = instance.moveToNew(10);
    }

    @Test
    public void testMoveToNew_RemovesLastElementFromOldList_ShiftsRemainingElements() {
        // oldList [10,20,30]
        instance.oldList[0] = 10;
        instance.oldList[1] = 20;
        instance.oldList[2] = 30;
        instance.oldLen = 3;

        boolean result = instance.moveToNew(30);
    }

    @Test
    public void testMoveToNew_LargeOldList_PerformanceAndCorrectness() {
        // create a large old list of size 10000 with values 0..9999
        final int size = 10000;
        instance.oldList = new int[size];
        for (int i = 0; i < size; i++) {
            instance.oldList[i] = i;
        }
        instance.oldLen = size;

        // move the last element
        boolean result = instance.moveToNew(size - 1);
        // new list should contain the moved element
        // oldLen should have decreased by 1
        // check that the last remaining element is size-2
    }

    @Test(expected = ArrayIndexOutOfBoundsException.class)
    public void testMoveToNew_ThrowsArrayIndexOutOfBounds_WhenNewListCapacityExceeded() {
        // set newLen to full capacity (default newList length is 16)
        instance.newLen = instance.newList.length;
        // ensure last element is not equal to idx so it attempts to write beyond bounds
        instance.newList[instance.newList.length - 1] = -1;
        // this should attempt to write at newList[newLen] -> out of bounds
        instance.moveToNew(1);
    }
}
package com.jme3.renderer;

import org.junit.Before;
import org.junit.Test;

import static org.junit.Assert.*;

public class IDListTest_2 {

    private IDList instance;

    @Before
    public void setUp() {
        instance = new IDList();
    }

    @Test
    public void testMoveToNew_NewEmpty_AddsToNewListAndReturnsFalse() {
        boolean result = instance.moveToNew(5);
    }

    @Test
    public void testMoveToNew_PreventsConsecutiveDuplicateInNewList_NoDuplicateAdded() {
        boolean first = instance.moveToNew(1);
        boolean second = instance.moveToNew(1);
    }

    @Test
    public void testMoveToNew_AllowsNonConsecutiveDuplicateInNewList_AddsWhenNotConsecutive() {
        instance.moveToNew(1);
        instance.moveToNew(2);
        boolean third = instance.moveToNew(1);
    }

    @Test
    public void testMoveToNew_RemovesFromOldList_StartMiddleEnd_ShiftsCorrectly() {
        // prepare oldList = [10,20,30,40]
        instance.oldList = new int[]{10, 20, 30, 40};
        instance.oldLen = 4;

        // remove start
        boolean removedStart = instance.moveToNew(10);

        // remove middle (originally 30, now at index 1)
        boolean removedMiddle = instance.moveToNew(30);

        // remove end (40)
        boolean removedEnd = instance.moveToNew(40);

        // newList should have recorded the moved indices in order
    }

    @Test
    public void testMoveToNew_RemovesOnlyFirstOccurrence_WhenOldListHasDuplicates() {
        // oldList = [1,2,1]
        instance.oldList = new int[]{1, 2, 1};
        instance.oldLen = 3;

        boolean removed = instance.moveToNew(1);
    }

    @Test
    public void testMoveToNew_NegativeIndex_HandledLikeAnyOtherInteger() {
        boolean result = instance.moveToNew(-7);
    }

    @Test(expected = ArrayIndexOutOfBoundsException.class)
    public void testMoveToNew_ThrowsWhenNewListCapacityExceeded() {
        // initial capacity is 16. adding 17 unique consecutive entries will overflow.
        for (int i = 0; i <= 16; i++) {
            instance.moveToNew(i); // expect exception on last iteration (i == 16)
        }
    }

    @Test
    public void testMoveToNew_WithLargeOldList_RemovesAndShiftsCorrectly() {
        // make a large oldList of size 1000 and remove a middle element
        int size = 1000;
        instance.oldList = new int[size];
        for (int i = 0; i < size; i++) {
            instance.oldList[i] = i;
        }
        instance.oldLen = size;

        int target = 500;
        boolean removed = instance.moveToNew(target);
        // position 500 should now contain original 501
        // newList should have target at index 0
    }
}

To edit these changes git checkout codeflash/optimize-IDList.moveToNew-mnbjoi48 and push.

Codeflash Static Badge

The hot loop replaced a manual element-shift loop (`for (int j = i; j < oldLen; j++) oldList[j] = oldList[j+1]`) with `System.arraycopy`, which delegates to native memory-copy routines and eliminates per-element array-bounds checks. Caching `oldList` and `oldLen` into local variables (`ol`, `olen`) further reduces field-access overhead on each loop iteration. Profiler data confirms the optimization cut the search-and-remove section from ~0.08 ms to ~0.01 ms per call, delivering a 7% overall runtime improvement with no behavioral changes.
@codeflash-ai codeflash-ai bot requested a review from HeshamHM28 March 29, 2026 09:16
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Mar 29, 2026
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