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(techno music)
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Before we move on to looking at
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some of the other sort algorithms,
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I wanna introduce the concept
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of a stable versus an unstable sort.
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When it comes to sort algorithms,
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there are stable sorts and there are unstable sorts.
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So what does this mean?
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Well, stable versus unstable comes into play
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when you have duplicate values
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in the data that you're sorting.
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For example, I have an array on the screen here
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and it contains two nines.
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There is a nine at position one
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and there's a nine at position three.
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So the question is when we sort this array,
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will the original ordering of the two nines be preserved?
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In other words, in the sorted array,
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will the white nine still come before the black nine
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or will their positions have changed
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so that the black nine comes before the white nine?
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If a sort is unstable,
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then that means the relative ordering of duplicate items
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will not be preserved.
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And so in an unstable sort,
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the black nine will end up coming before the white nine.
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So what will happen is the nines are sorted now,
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the array is sorted,
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but the two nines have flipped position.
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Their relative ordering has not been preserved.
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So in the original array,
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the white nine came before the black nine.
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And in the sorted array,
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the black nine is coming before the white nine.
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And so when this happens,
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when the relative ordering of duplicate items
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is not preserved when you sort,
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it's considered to be an unstable sort.
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And you'll see that some of the algorithms we look at
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are unstable sort algorithms.
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Now by contrast for a stable sort,
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we're starting off with the same array,
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but after we've sorted,
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the white nine still appears before the black nine,
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so the relative ordering of the duplicate items
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has been preserved and in this case it's a stable sort.
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Now all other things being equal,
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a stable sort is preferable to an unstable sort.
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Now you might look at this and say, "Well, who cares
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"if the relative ordering of the nines flip position?"
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And for integers, it doesn't really matter.
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A nine is a nine is a nine,
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but if you're sorting objects,
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it could make a difference depending on how you're using it.
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For example if you wanna do a sort within a sort,
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so for example you may first sort based on name
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and then you wanna sort based on age or something,
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well if the second sort causes the positions you got
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from the first sort to flip,
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that's going to be a problem.
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So for integers it doesn't matter
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and depending on how you're using the data
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it might not matter,
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but in some situations it will matter
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and you're not going to want a sort
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to change the ordering of duplicate items.
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And so as we go through and look at the sort algorithms,
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we'll think about whether they're stable or unstable.
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So how about bubble sort?
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Is bubble sort a stable sort algorithm
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or an unstable sort algorithm?
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Think about this for a minute.
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Think back to the code and how bubble sort works.
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The answer is that bubble sort is a stable sort algorithm
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and why is that?
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Well, when we're comparing adjacent elements,
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we only swap them if the element at I
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is greater than the element at I plus one.
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And so when those two nines end up next to each other
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and they will eventually,
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eventually the white nine will end up at position I
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and the black nine will end up at position I plus one
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and when we compare them,
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because nine is not greater than nine,
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we don't swap them so their positions remain the same,
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the relative ordering.
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If the algorithm said greater than equals
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or implementation said greater or equals,
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then we would swap them and that would be an unstable sort
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and you don't want to turn
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a stable sort into an unstable sort
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and it's really easy to do.
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And I have seen cases around the internet
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in blog posts and things like that
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where a stable sort algorithm has been coded to be unstable.
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That pesky little equals can make a big difference.
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So be aware of this.
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Be aware of this when you're reading code on the internet
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and be aware of this when you're writing your own code.
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Make sure that if a sort algorithm is stable
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that your implementation isn't inadvertently changing it
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to an unstable algorithm.
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So in a nutshell, a stable sort algorithm preserves
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the relative ordering of duplicate items
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and an unstable sort algorithm does not.
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And on that note, let's move on to the next sort algorithm.
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I'll see you in the next video.
9261
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