dhowe / ritawebdev Goto Github PK
View Code? Open in Web Editor NEWdead
dead
refer to dhowe/ritajs-v2#72 (comment)
should have same css (note that the latter is copied from rita2doc)
/ritaweb/index.html#reference-wrapper
/ritaweb/reference.html
Device1: Android 8.0.0 Firefox 68.11.0
Device2: iOS 12.1.1 Builtin Safari
Problems | reference | Occur On Dev1 | Occur On Dev2 |
---|---|---|---|
1.Occasionally Icons are not displayed for the highlights | /RitaWeb/index.html -> id="highlights-wrapper" | Y | N |
2.Occasionally Little arrow icons in quickstart and tutorials sections is not displayed | /RitaWeb/index.html -> id="learning-wrapper-> class = "panel-group" | Y | N |
3.panel are not expanded when tapping on the arrow icons in quickstart/tutorials section | /RitaWeb/index.html -> id="learning-wrapper-> class = "panel-group" | Y | Y |
4.gallery is not displayed | /RitaWeb/index.html -> id="gallery-wrapper"-> class = "container" | Y | Y |
5.the menu on top is not working | /RitaWeb/index.html -> class="navbar-sticky visible" | Y | N |
Screenshots
Problem 1:
Problem 2:
Problem 4:
Refer to issue #2
analyze
Markov
see below
Did you test these pages? they don't look very good
First run /rita2doc/run.sh, then check
Originals:
It seems that the references are not correctly linked
the Urls should be like reference/RiTa/RiTa.VERSION/index.php and reference/RiTa/RiTa.addTransform/index.php
refer to #2
adapt RiTa.php, RiGrammar.php, and RiMarkov.php
It seems that those images are missing
Some imagrs are missing | list |
---|---|
tutorials/ngrams.php -> img/tutorials/markov1.png | |
tutorials/ngrams.php -> img/tutorials/markov2.png | |
tutorials/concordance.php -> img/kwic.png | |
tutorials/ngrams.php -> img/tutorials/citiesandhighways.png |
refere to #2
Use the text below for now, with css so that it matches the design/layout:
Version 2 of RiTa is a complete rewrite of the library that is smaller, faster, more use-friendly, and more easily maintained. Unfortunately, however, is not backwards-compatible with programs written with version 1.x. Nearly all of the functionality of v1 is still available (plus lots of new features), but much of the organization and many of the function names have changed. Migrating an older work to v2 is generally quite straightforward, involving a few function name changes (plus I'm happy to help if you run into problems).
With that said, some of the more major changes:
Nearly all features of the library are now static functions on the RiTa object. So you can access them as RiTa.XXX(), e.g., RiTa.phones(), RiTa.tokenize(), RiTa.conjugate(), and so on. This means that there is only one object to worry about importing into your programs.
The RiMarkov and RiGrammar objects are significantly improved, and are now accessed via the RiTa.markov() and RiTa.grammar() static functions. RiTa grammars are still compatible with JSON, but can now include all the features of RiScript.
RiScript is a new scripting language designed to allow authors to easily integrate static text with simple generative primitives (choices, sequences, transforms, etc.). RiScript is designed specifically for writers (for example, no quotes are required for strings) and can be run via RiTa.evaluate() or simply included in any RiTa grammar.
RiTa v2 is available for Java (via Maven and github-packages) and JavaScript (via npm and unpkg). It is also available, of course, as a library for Processing and p5.js.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.