dust | Dust Programming Language | Transpiler library
kandi X-RAY | dust Summary
kandi X-RAY | dust Summary
Dust is a programming language that compiles to JavaScript and runs on your browser. Its similarity to Rust is not coincidental. It is actually derived from the Rust to JavaScript transpiler [project] Try it at Using with nodejs ---. Install npm package dust-lang.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Get next token .
- parse a string
- Parse a number .
- Parses a term .
- Transform an input into an AST to an AST
- Compiles a single file into an AST .
- Loads components into the environment .
- Recursively merge two types .
- Consume a comment .
- Check for a given type
dust Key Features
dust Examples and Code Snippets
Community Discussions
Trending Discussions on dust
QUESTION
I have a drop down single select combo box. I can get a reference to that drop down via a CSS selector.
...ANSWER
Answered 2022-Apr-14 at 21:18First you have to switch to the iframe;
QUESTION
ANSWER
Answered 2022-Mar-31 at 12:14You probably need to use object destructuring:
QUESTION
I want to recognize the tray is empty or not in the given image using OpenCV in python.
below is what I have tried
- detect the biggest rectangle and cropped by using the below code
ANSWER
Answered 2022-Mar-01 at 20:33I recommend you to:
- do camera calibration to make the lines in your image straight, and
- align your camera well to your production line so you can simplify the image processing and make it more robust, and
- use better illumination conditions if possible.
Given the images above, here is a brute force solution:
- you can first extract the region of interest (ROI) through: HSV segmentation followed by contour detection, then you can extract the rectangular shape of the tray using this SO answer.
QUESTION
Background: I have data from a simulation where I have a few variables and thus many resulting combinations of parameters. Due to the internal design of the simulation there can be a little variation among the outcomes of identical sets of parameters, so I run a number of identical runs, then calculate their min, max, and mean score. Then, I want to compare the treatment and no-treatment conditions:
- calculate the mean of treatment minus no-treatment
- calculate the difference of the min score of treatment minus max score of no-treatment
- calculate the difference of the max score of treatment minus min score of no-treatment
This gives me the mean difference but also the bounds of the best- and worst-case comparison.
Example data:
...ANSWER
Answered 2022-Feb-14 at 23:05Please find below one possible solution.
Reprex
- Code
QUESTION
I am working with a column of string in a dataframe, and trying to extract all words which matched any words in a giving word list. It extracted all matched words and substring, how can I get only words? Many thanks!
My code:
...ANSWER
Answered 2022-Feb-17 at 16:17Maybe something like this:
QUESTION
I am trying to use Google Cloud Natural Language API to classify/categorize tweets in order to filter out tweets that are not relevant to my audience (weather related). I can understand it must be tricky for an AI solution to make a classification on a short amount of text but I would imagine it would at least have a guess on text like this:
Wind chills of zero to -5 degrees are expected in Northwestern Arkansas into North-Central Arkansas extending into portions of northern Oklahoma during the 6-9am window . #arwx #okwx
I have tested several tweets but only very few get a categorization, the rest gets no result (or "No categories found. Try a longer text input." if I try it through the GUI).
Is it pointless to hope for this to work? Or, is it possible to decrease the threshold for the categorization? An "educated guess" from the NLP-solution would be better than no filter at all. Is there an alternate solution (outside training my own NLP-model)?
Edit: In order to clarify:
I am, in the end, using the Google Cloud Platform Natural language API in order to classify tweets. In order to test it I am using the GUI (linked above). I can see that quite few of the tweets I test (in the GUI) gets a categorization from GCP NLP, i.e. the category is empty.
The desired state I want is for GCP NLP to provide a category guess of a tweet text, rather than providing an empty result. I assume the NLP model removes any results with a confidence less than X%. It would be interesting to know if that threshold could be configured.
I assume the categorization of tweets must have been done before, and if there is any other way to solve this?
Edit 2: ClassifyTweet-code:
...ANSWER
Answered 2022-Jan-28 at 17:58I have dig on the current state of cloud natural language and my answer to your principal question will be that at the current state of the natural language classify text is not possible. Although, a workaround would be if you base your categories on the output you get from analyzing the text from your inputs.
Consider that we are not using a custom model for this and just using the options that cloud natural language offers, One tentative approach on this matter will be as follows:
To start, I have updated the code from the official samples to our needs to explain a bit further on this:
QUESTION
I am using ngx-quill and the input body returns some HTML elements.
Example
...ANSWER
Answered 2022-Jan-16 at 01:28Rule #1: Don't manipulate HTML with regexes. Use a DOM parser instead.
Rule #2: You probably don't want to fuss with the overhead of a DOM parser, just want to get the job done, and are likely to ignore Rule #1.
Therefore, if you wish, something like this might do the trick:
QUESTION
I was able to output an assets library and many other libraries that work as remote federated modules and as deep import libraries in case I am not connecting to a remote or I am not using webpack in the consumer end.
The issue is now that all my assets exports a module, that either have the raw data as uri or the string that points to the right asset. Eg: the bird.svg is outputed to dust with it's hash plus the modules that resolves to the file bird-[hash].svg.
The above is great from javascript but not so much for css. Now I can't rewrite the url() to point to the right remote path which would be sg like:
...ANSWER
Answered 2022-Jan-06 at 04:15Ok I resolved this issue, by passing additional data as variable to sass-loader. That way I can evaluate the actual name of the files, and put it as a sass map before and handle it from sass.
QUESTION
Let's say I have the following arrays of strings:
...ANSWER
Answered 2021-Dec-19 at 07:31The following solution should work Assume arrays are as follows
QUESTION
I'm developing an app for my thesis and I'm a little bit confused on what I should do here/where to write the code that I have and that worked before modifying these views.
Basically after the login process I only had a view (I was still testing at that time), now I made a Tab Bar Controller and 3 view under it. Problem is, the logout button I made for them is no longer working cause I don't know where to write the code for the Tab Bar Controller View...
For a normal view you just connect the swift file and it's done and dusted, you write everything you want in there and watch it work with the assistant view, but I'm not familiar with the Tab Bar Controller View...
In the photo I provided there is a logout button that is clicked, so you can see it better.
The code I used for the button when the view worked:
...ANSWER
Answered 2021-Nov-15 at 15:46Try setting a class to UITabBarController like:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dust
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
