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Home/ Questions/Q 716971
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Editorial Team
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Editorial Team
Asked: May 14, 20262026-05-14T05:21:34+00:00 2026-05-14T05:21:34+00:00

Is there a way to improve this: private static int CountNewlines(string s) { int

  • 0

Is there a way to improve this:

private static int CountNewlines(string s)
{
    int len = s.Length;
    int c = 0;
    for (int i=0; i < len;  i++)
    {
        if (s[i] == '\n') c++;
    }
    return c;
}

I’m particularly concerned about the Item accessor on the string. Not sure if it is just pointer arithmetic like C/C++.

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-14T05:21:35+00:00Added an answer on May 14, 2026 at 5:21 am

    I tested these implementations

    private static int Count1(string s)
    {
        int len = s.Length;
        int c = 0;
        for (int i=0; i < len;  i++)
        {
            if (s[i] == '\n') c++;
        }
        return c+1;
    }
    
    private static int Count2(string s)
    {
        int count = -1;
        int index = -1;
    
        do
        {
            count++;
            index = s.IndexOf('\n', index + 1);
        }
        while (index != -1);
    
        return count+1;
    }
    
    private static int Count3(string s)
    {
        return s.Count( c => c == '\n' ) + 1;
    }
    
    
    private static int Count4(string s)
    {
        int n = 0;
        foreach( var c in s )
        {
            if ( c == '\n' ) n++;
        }
        return n+1;
    }
    
    private static int Count5(string s)
    {
        var a = s.ToCharArray();
        int c = 0;
        for (int i=0; i < a.Length; i++)
        {
            if (a[i]=='\n') c++;
        }
        return c+1;
    }
    

    Here are my timing results for 100000 iterations on a string of ~25k. Lower is faster.

                  Time  Factor
    Count1   4.8581503     1.4
    Count2   4.1406059     1.2
    Count3  45.3614124    13.4
    Count4   3.3896130     1.0
    Count5   5.9304543     1.7
    

    Surprisingly, to me, the Enumerator implementation was fastest for me, by a significant degree – 20% faster than the next closest implementation. The results were repeatable, regardless of the order in which the methods were run. I also used a warmup phase to insure transient effects (jit, etc) were factored out.

    This was for a release build (/optimize+)

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