AmrDeveloper / CodeView

Android Library to make it easy to create an Code editor or IDE that support any languages and themes, with auto complete, auto indenting, snippets and more features
https://amrdeveloper.github.io/CodeView/
MIT License
384 stars 51 forks source link

How does this library handle large text?πŸ€” #31

Open Dobmod opened 2 years ago

AmrDeveloper commented 2 years ago

Hello @Dobmod,

My current goal is to keep it as fast as possible with any size of text, so I am trying to optimize the highlighter and other features, honestly I didn't test it with large text like 100K or 500K LOC, I will try to profile it with large text and see the performance,

BTW, I am thinking of extending it with some ideas like VIM Modes to navigate and modify large text faster πŸ˜ƒ

Thanks Amr Hesham

Dobmod commented 2 years ago

Hi @AmrDeveloper ,

Your library appeals to me with the fantastic interface design,and I am eager to develop a code editor on android which can handle large text now.Looking forward to the futher improvement of the libraryπŸ‘. Thanks.

AmrDeveloper commented 2 years ago

Hi @Dobmod,

Thanks, great, good luck with next your project πŸ‘πŸ»

Arashvscode commented 1 year ago

Hello, I am using your library, it is very, very great, but its speed is slow, if possible, add the folding code, if you do not know what the folding code is, install the Acode program, this feature is responsible for collecting the code

AmrDeveloper commented 1 year ago

Hello @Arashvscode,

The code folding feature is currently on the TODO list but I need it to be more flexible to work with any custom config to cover not only popular languages but any set of data and not slow the performance

Thanks Amr Hesham

Arashvscode commented 1 year ago

Hello, thank you for your reply and I apologize for the late reply, dear friend, it is great that you add good features, I request you to increase the speed of the editor code, for example, Sora Editor has its own extensibility inspired by View for That's how fast it is

AmrDeveloper commented 1 year ago

@Arashvscode I am planning for performance improvement but without losing the flexibility on how to config any language or data set without the need to build your own tokenizer

Arashvscode commented 1 year ago

❀✌