vector.normalized() doesn't do what you expect

[Rob Speer]

Intuitively, when you normalize a vector, you should get back another vector of unit length, or something that acts like it.

Instead, Divisi tries to normalize it the way it would normalize something bigger -- chopping it up into slices, finding the norm of each slice, and then giving you a view that divides those slices by their norm.

Except these slices are *scalars*, so if this worked it would give you something like [1.0, 1.0, 1.0, ...]. And it gets an IndexError anyway.

I think that .normalized() on a vector should normalize by the magnitude of that single vector (whether it uses a view to do so or not).

[Ken Arnold (kenneth-arnold)]

A workaround for the moment is `.normalized_copy`.
-Ken

On Wed, Aug 12, 2009 at 5:30 PM, Rob Speer<email address hidden> wrote:
> Public bug reported:
>
> Intuitively, when you normalize a vector, you should get back another
> vector of unit length, or something that acts like it.
>
> Instead, Divisi tries to normalize it the way it would normalize
> something bigger -- chopping it up into slices, finding the norm of each
> slice, and then giving you a view that divides those slices by their
> norm.
>
> Except these slices are *scalars*, so if this worked it would give you
> something like [1.0, 1.0, 1.0, ...]. And it gets an IndexError anyway.
>
> I think that .normalized() on a vector should normalize by the magnitude
> of that single vector (whether it uses a view to do so or not).
>
> ** Affects: divisi
>     Importance: Medium
>         Status: Confirmed
>
> ** Changed in: divisi
>       Status: New => Confirmed
>
> ** Changed in: divisi
>   Importance: Undecided => Medium
>
> --
> vector.normalized() doesn't do what you expect
> https://bugs.launchpad.net/bugs/412731
> You received this bug notification because you are a member of
> Commonsense Computing, which is the registrant for Divisi.
>
> Status in Divisi: Confirmed
>
> Bug description:
> Intuitively, when you normalize a vector, you should get back another vector of unit length, or something that acts like it.
>
> Instead, Divisi tries to normalize it the way it would normalize something bigger -- chopping it up into slices, finding the norm of each slice, and then giving you a view that divides those slices by their norm.
>
> Except these slices are *scalars*, so if this worked it would give you something like [1.0, 1.0, 1.0, ...]. And it gets an IndexError anyway.
>
> I think that .normalized() on a vector should normalize by the magnitude of that single vector (whether it uses a view to do so or not).
>
> _______________________________________________
> Mailing list: https://launchpad.net/~commonsense
> Post to     : <email address hidden>
> Unsubscribe : https://launchpad.net/~commonsense
> More help   : https://help.launchpad.net/ListHelp
>