Skip to content

Adding tab and robust model feature into the GUI#30

Open
DotchPlayer wants to merge 4 commits into
extra-p:vNextfrom
DotchPlayer:vNext
Open

Adding tab and robust model feature into the GUI#30
DotchPlayer wants to merge 4 commits into
extra-p:vNextfrom
DotchPlayer:vNext

Conversation

@DotchPlayer

Copy link
Copy Markdown

This is an implementation of the tab feature, which gives the user the option to have multiple experiment loaded into the GUI.
And also to create a more noise resistant model called robust model, in which with extra information in form of basic block experiment the user can create a model with a more accurate complexity analysis as to only normal experiments.

With this marks the completion of the parallel computing praktica on V next branch

DotchPlayer and others added 4 commits June 29, 2026 04:18
A robust model can now be created after starting the application on the
menubar under the "compare action".
Also added a new wizard to import two experiments.
Personally I was confused and maybe wrong with this decission.
But this change make more sense in my perspectiv.
When using the ModelGenerator with a set use_measure, then should this
decision also propagate to the modeler.
Set that every already existing DockWidget can be placed everywhere
except at the top.
When importing an experiment into the application a seperate tab will be created with the said experiment stored.
With this switching between experiment is now established, but with some restriction.

Because of the code structure the easiest implementation was an signal taskbar.
Which when switching between tabs only saves the said experiment and some needed settings and extra information.

By switching all dockwidget are set to the experiment which was selected to load.
That brings the restriction that it is not possible two view multiple experiments concurrently.

But it was possible to save the selected models inside of an experiment between switching.
This can also been done when experiment are using different tree model filters like All or Flat.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant