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@mhduiy mhduiy commented Nov 14, 2025

Added mutex lock to protect shared variables totalBrightness and pixCount in isTooBright function. The imaging.AdjustFunc processes pixels concurrently, which could cause race conditions when multiple goroutines access and modify these shared variables simultaneously. This ensures thread-safe calculation of average brightness when determining if an image is too bright.

Influence:

  1. Test image brightness detection with various image types and sizes
  2. Verify that concurrent image processing does not cause race conditions
  3. Ensure brightness calculation remains accurate under multi-threaded scenarios
  4. Test with both bright and dark images to confirm proper functionality

fix: 为亮度计算添加线程安全保护

在 isTooBright 函数中添加互斥锁保护共享变量 totalBrightness 和
pixCount。由于 imaging.AdjustFunc 会并发处理像素,当多个 goroutine 同时 访问和修改这些共享变量时可能导致竞态条件。这确保了在确定图像是否过亮时,
平均亮度的计算是线程安全的。

Influence:

  1. 测试各种图像类型和大小的亮度检测功能
  2. 验证并发图像处理不会导致竞态条件
  3. 确保在多线程场景下亮度计算保持准确
  4. 使用亮图和暗图测试以确认功能正常

Summary by Sourcery

Bug Fixes:

  • Protect totalBrightness and pixCount with a mutex in isTooBright to prevent race conditions during concurrent brightness calculation

Added mutex lock to protect shared variables totalBrightness and
pixCount in isTooBright function. The imaging.AdjustFunc processes
pixels concurrently, which could cause race conditions when multiple
goroutines access and modify these shared variables simultaneously. This
ensures thread-safe calculation of average brightness when determining
if an image is too bright.

Influence:
1. Test image brightness detection with various image types and sizes
2. Verify that concurrent image processing does not cause race
conditions
3. Ensure brightness calculation remains accurate under multi-threaded
scenarios
4. Test with both bright and dark images to confirm proper functionality

fix: 为亮度计算添加线程安全保护

在 isTooBright 函数中添加互斥锁保护共享变量 totalBrightness 和
pixCount。由于 imaging.AdjustFunc 会并发处理像素,当多个 goroutine 同时
访问和修改这些共享变量时可能导致竞态条件。这确保了在确定图像是否过亮时,
平均亮度的计算是线程安全的。

Influence:
1. 测试各种图像类型和大小的亮度检测功能
2. 验证并发图像处理不会导致竞态条件
3. 确保在多线程场景下亮度计算保持准确
4. 使用亮图和暗图测试以确认功能正常
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sourcery-ai bot commented Nov 14, 2025

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Introduces a mutex in isTooBright to serialize concurrent updates to totalBrightness and pixCount, preventing race conditions during parallel pixel processing and preserving correct average brightness calculation.

Sequence diagram for thread-safe brightness calculation in isTooBright

sequenceDiagram
participant "isTooBright()"
participant "imaging.AdjustFunc()"
participant "Pixel Goroutine"
participant "Mutex (mu)"
"isTooBright()"->>"imaging.AdjustFunc()": Start pixel processing
loop For each pixel (concurrent)
    "imaging.AdjustFunc()"->>"Pixel Goroutine": Process pixel
    "Pixel Goroutine"->>"Mutex (mu)": Lock
    "Pixel Goroutine"->>"isTooBright()": Update totalBrightness, pixCount
    "Pixel Goroutine"->>"Mutex (mu)": Unlock
end
Loading

Class diagram for updated isTooBright function with mutex protection

classDiagram
class isTooBright {
  -float64 pixCount
  -float64 totalBrightness
  -sync.Mutex mu
  +bool isTooBright(image.Image img)
}
class imaging {
  +AdjustFunc(image.Image img, func(color.NRGBA) color.NRGBA)
}
isTooBright --> imaging : uses AdjustFunc
Loading

File-Level Changes

Change Details Files
Add thread-safety to brightness aggregation
  • Imported sync package
  • Declared mu sync.Mutex in isTooBright
  • Wrapped brightness and pixel count updates with mu.Lock()/mu.Unlock()
blurimage/blurimage.go

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Hey there - I've reviewed your changes - here's some feedback:

  • Locking on every pixel update can severely impact performance—consider using per-goroutine local accumulators and combining them at the end or atomic operations instead.
  • You're discarding the image returned by imaging.AdjustFunc (which still allocates a full image); iterating directly over the pixels to compute brightness would be more efficient and clearer.
Prompt for AI Agents
Please address the comments from this code review:

## Overall Comments
- Locking on every pixel update can severely impact performance—consider using per-goroutine local accumulators and combining them at the end or atomic operations instead.
- You're discarding the image returned by imaging.AdjustFunc (which still allocates a full image); iterating directly over the pixels to compute brightness would be more efficient and clearer.

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Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.

@deepin-ci-robot
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deepin pr auto review

我来对这个代码变更进行审查:

  1. 语法逻辑:
  • 代码语法正确,sync.Mutex的使用符合Go语言的规范
  • 在并发访问共享变量totalBrightness和pixCount时使用了互斥锁进行保护
  1. 代码质量:
  • 这里存在一个潜在的问题:imaging.AdjustFunc实际上是串行处理的,所以互斥锁是不必要的
  • 即使imaging.AdjustFunc内部是并行处理的,使用互斥锁也会导致严重的性能问题,因为每个像素点都要获取锁
  • 代码可读性受到影响,因为添加了不必要的并发控制
  1. 代码性能:
  • 添加互斥锁会显著降低性能,因为:
    • 每个像素点处理都要获取和释放锁
    • 锁竞争会导致上下文切换开销
    • 实际上imaging.AdjustFunc是串行处理的,所以锁完全是不必要的
  1. 代码安全:
  • 从安全角度来说,这个变更没有引入新的安全问题
  • 但是不必要的并发控制可能会影响代码的可维护性

改进建议:

  1. 移除互斥锁,因为imaging.AdjustFunc是串行处理的,不需要并发控制
  2. 如果确实需要并发处理,建议:
    • 使用goroutine和channel进行并行处理
    • 将图片分块处理,每个goroutine处理一个块
    • 最后汇总结果

改进后的代码示例:

func isTooBright(img image.Image) bool {
    bounds := img.Bounds()
    var totalBrightness float64 = 0
    var pixCount float64 = 0
    
    for y := bounds.Min.Y; y < bounds.Max.Y; y++ {
        for x := bounds.Min.X; x < bounds.Max.X; x++ {
            c := color.NRGBAModel.Convert(img.At(x, y)).(color.NRGBA)
            brightness := 0.2126*float64(c.R) + 0.7152*float64(c.G) + 0.0722*float64(c.B)
            totalBrightness += brightness
            pixCount++
        }
    }
    
    avgBrightness := totalBrightness / pixCount
    return avgBrightness > 200
}

这个改进版本:

  1. 移除了不必要的互斥锁
  2. 直接遍历像素点,代码更直观
  3. 性能更好,避免了imaging.AdjustFunc的额外开销
  4. 更容易理解和维护

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[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by: 18202781743, mhduiy

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@18202781743 18202781743 merged commit 18d1207 into linuxdeepin:master Nov 14, 2025
16 of 17 checks passed
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3 participants