mathoudebine / mathoudebine/turing-smart-screen-python
Adding drop shadows to fonts?
Nobody has claimed this yet.
- Dominant language
- Rich Text Format
- Stars
- 2.3k
- Forks
- 412
- Avg merge
- 21h 10m
- Merged PRs (30d)
- 7
Description
Is your feature request related to a problem? If so, please describe the problem.
A description of what the problem is. E.g. I cannot display this data the way I want [...]
Text is hard to read on pattered backgrounds.
Describe the feature / solution to your problem you'd like
A description of what you want to happen.
Adding drop shadows or support for chromatic fonts would be a great help.
Describe alternatives you've considered / and or tested
A description of any alternative solutions or features you've considered.
Screenshots / photos & mockups of the Turing screen
Add screenshots or photos/mockups of the rendering on the Turing screen to help explain your request.
You can drag and drop photos here to add them to the description.
Environment:
- Revision of this project [e.g. 1.1.1,
mainbranch, specific commit]
3.1.0 - OS with version [e.g. Windows 11, Ubuntu 22.04]
Linux Mint 21.2 Victoria - Python version [e.g. Python 3.8]
Python 3.10.12 - Hardware [e.g. Intel CPU, Nvidia GPU, Raspberry Pi 3 B+ ...]
OptiPlex 3020M
Additional context
Add any other context or screenshots about the feature request here.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or code entry points. Start by locating the font-rendering path used for the Turing screen and determine whether drop shadows or chromatic fonts are supported by the current rendering stack. Done means text remains readable on patterned backgrounds with the requested rendering behavior documented and tested.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-graphics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100