dotnet / dotnet/machinelearning-modelbuilder
When using the magnifier in reflow mode, the user has to scroll back and forth to view the content: A11y_ML.NET Model Builder_Reflow
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Descrizione
GitHubTags
#A11ySev3; #A11yTCS;#DesktopApp; #Win32;#Model Builder - Machine Learning for .NET Developers;#BM-MlnetModelBuilder-Win32-OCt25;#Win32;#WCAG1.4.10;#Reflow;#A11yMAS;
### Environment Details:
Application Name: ML.NET Model Builder
Edition Windows 11 Enterprise
Version 25H2
OS build 26200.6899
Microsoft Visual Studio Enterprise
Channel: Canary
Version: 18.3.0 Insiders [11121.168.main]
### Repro Steps:
Prerequisites: Use Magnifier at 400% with DPI scaling at 100% and resolution at 1280 x 1024px.
1. Launch visual studio.
2. Create a new .NET project or open an existing .NET project.
3. Right-click on the project in the solution explorer and Add > Machine Learning.
4. Tab till scenario and select a scenario.
5. Select training environment (Select local(CPU).
6. Tab till next step and press enter, "select file from the data source type and add a file".
7. Tab till next step and press enter.
8. Train screen will open, tab till advanced training options and press enter.
9. Verify that When using the magnifier in reflow mode, the user has to scroll back and forth to view the content.
### Actual Result:
When using the magnifier in reflow mode, the user has to scroll back and forth to view the content.
### Expected Result:
Content should reflow within a 320px viewport without requiring horizontal scrolling. This includes wrapping long lines of text and ensuring UI elements don’t overlap or truncate.
### User Impact:
Users who use screen magnifiers may miss important information if content is cut off or hidden, and may become frustrated having to move back and forth to view everything.
### Attachment:
Before Reflow
After reflow
Guida per i contributori
Nessuna guida per i contributori indicizzata per questo repository
Direzione di ricerca
Riproduci il workflow in Visual Studio usando Magnifier al 400% e seguilo fino alle Advanced training options della schermata Train. Esamina la Model Builder UI responsabile di tale schermata e verifica il comportamento con un viewport di 320px. Si considera completato quando il contenuto si ridispone senza scorrimento orizzontale, sovrapposizioni o troncamenti.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- csharp
- Ambito
- accessibility, desktop, machine-learning
- Tipo di issue
- Bug
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Stato di attività
- Tranquilla
- Chiarezza
- Abbastanza chiara
- Idoneità per principianti
- 48/100