Re: [Banshee-List] Smartplaylists & normalized model

["Oscar Forero" <oforero novell com>]

Hi,

How are you trying to apply the patch? on that line in my code there is
no reference to playlistView or something similar, my guess is that you
should see a PlayerInterface.cs.rej file; that means that the patch was
not apply it cleanly.

Here is a process that i tested for a couple of minutes and worked whit
out problems:

>  cvs -z3 -d:pserver:anonymous anoncvs gnome org:/cvs/gnome co -r
BANSHEE_0_10_9 banshee

> cd banshee
> patch -p0 < ../patches-banshee-0.10.9/banshee-normalized.patch

After this step should not exist any reject files, if everything went ok
the output of patch will be only a list of files patched.

> ./autogen.sh -prefix=/usr/local/banshee-normalized
> make && sudo make install
> /usr/local/banshee-normalized/bin/banshee

The errors people are seeing that the InfoType is not found is because
the make does not contain the InfoType.cs as a source to compile, i will
try with a make clean first and then with autogen. If not i am pretty
sure this work i just do it my self here.

regards,

Oscar Forero.


On Thu, 2006-03-30 at 17:43 +0000, "Zach Tibbitts"  wrote:
> can't get it to compile
> ./PlayerInterface.cs(1223,17): error CS0103: The name `playlistView'
> does not exist in the context of `Banshee.PlayerUI'
> Compilation failed: 1 error(s), 0 warnings
> make[3]: *** [banshee.exe ] Error 1
> make[3]: Leaving directory `/home/zach/cvs/banshee/src'
> make[2]: *** [all-recursive] Error 1
> make[2]: Leaving directory `/home/zach/cvs/banshee/src'
> make[1]: *** [all-recursive] Error 1
> make[1]: Leaving directory `/home/zach/cvs/banshee' 
> make: *** [all] Error 2
> 
> on ubuntu 5.10
> 
> On 3/30/06, Matt Philmon <mattisking gmail com> wrote:
>         Having only delved into minute portions of the code and with
>         very little Linux development experience (but a great deal
>         of .NET Windows development) I have to ask... why not use
>         Datasets bound to the track list? Wouldn't this be the best
>         way to proceed? Datasets work very very well in this scenario
>         with large amounts of data. Of course, the track list would
>         have to support it and once again, I haven't looked in depth. 
>         
>         
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