lowlight | Virtual syntax highlighting for virtual DOMs | Code Inspection library
kandi X-RAY | lowlight Summary
kandi X-RAY | lowlight Summary
Virtual syntax highlighting for virtual DOMs and non-HTML things, with language auto-detection. Perfect for React, VDOM, and others.
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Top functions reviewed by kandi - BETA
- Highlight a given language .
- Highlights a value .
- Transform tree nodes .
- Creates a list item for a given language .
- Generates the source code for a language .
- Generate an id for a given name .
- Returns whether the given language is registered or not .
- Register a language .
- list of languages
lowlight Key Features
lowlight Examples and Code Snippets
import jstransformer from 'jstransformer'
import lowlight from 'jstransformer-lowlight'
const highlight = jstransformer(lowlight)
highlight.render('var i = 5 + 10;', { lang: 'javascript' }).body
//=> 'var i = 5
Community Discussions
Trending Discussions on lowlight
QUESTION
I have looked into the grammar and everything seems to be fine there and the parse-tree also generates without any errors but the mentioned codes give errors. This same error also appears when working with different COBOL code which has number operations or had a variable has hardcoded number input. I am using COBOL.g4 as my grammar and
...ANSWER
Answered 2021-Aug-10 at 20:16The error "line 24:56 mismatched input '12345' expecting {ABORT, AS, ASCII ..." does not mean 12345
isn't recognized, but the token(s) after it are unexpected. The 12345
is properly tokenised as a INTEGERLITERAL
token:
I tried running the generated parser with your example input, but that did not throw any error at all. So it must be an issue with the JS runtime (or you changed the .g4 grammar, which caused the error).
This is the parse tree I got:
Tested with Java and ANTLR 4.9.2
QUESTION
I trained a CNN classification model using RGB images as input and it produces 1x7 output with probabilities of class labels(7 different classes). I have converted the model from keras .h5 to coreML. I have seen different applications and tried both of them with and without class labels defined. They did not cause any issue while converting. However none of them work in IOS. Both models crash when I call below line:
...ANSWER
Answered 2020-Jul-17 at 10:57I have found out two different problems in my code. In order to ensure that my model correctly converted to mlmodel, I created a new classification mlmodel by using Apple's CreateML tool. By the way it is fantastic even though the accuracy seems lower than my original model. I compared the output and input types of the model and seems my mlmodel is correct too. Then I used this model and gave it another try. It crashed again. I wasn't so sure what prediction result I have to expect whether "VNClassificationObservation" or "VNCoreMLFeatureValueObservation". I changed to classificationobservation. It crashed again. Then I realized that my handler definition was below the crash line and I moved it to upper portion. Then woola. It worked. I double checked by changing the FeatureValueObservation and it crashed again. So two problems are solved. Please see the correct code below.
I strongly recommend to use CreateML tool to confirm your model conversion work fine for debugging purposes. It is just a few minutes job.
QUESTION
I'm working on a nodejs project where I need to restructure an array of objects. Below is the sample out put I get from database, that need to be restructured.
...ANSWER
Answered 2020-Jun-09 at 10:59I'm still not sure how you want to group it data here. Maybe you can do something like this:
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