kandi X-RAY | Dust Summary
kandi X-RAY | Dust Summary
Top functions reviewed by kandi - BETA
- Returns the parameter types for the method call
- Inject method arguments
- Records the calls to the class
- Analyze the method arguments list
- Load a try statement
- Adds a finally block to the finally block
- Copy of array to target pc
- Replace the bytecode of a method call
- Records a transactional operation
- Inserts a bytecode into the constructor s initializer
- Declares a class
- Populate the AST node at the given statement
- Merge this type with the specified type
- Replace the instance of an instance
- Constructs a post - match tree
- Main entry point for parsing
- Replaces the given bytecode expression with the given byte code
- Custom deserializer
- Sets the generic signature of the class
- Reads a class descriptor
- Replaces a sequence of classes in the stack
- Transform a field
- Modifies the method body that the given method body can be used to access the given array body
- Returns a copy of this attribute
- Replace an explicit cast operator
- Inserts a bytecode into the catch clause
Dust Key Features
Dust Examples and Code Snippets
Trending Discussions on Dust
I have a drop down single select combo box. I can get a reference to that drop down via a CSS selector....
ANSWERAnswered 2022-Apr-14 at 21:18
First you have to switch to the iframe;
ANSWERAnswered 2022-Mar-31 at 12:14
You probably need to use object destructuring:
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
ANSWERAnswered 2022-Mar-01 at 20:33
I 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:
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.
ANSWERAnswered 2022-Feb-14 at 23:05
Please find below one possible solution.
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!
ANSWERAnswered 2022-Feb-17 at 16:17
Maybe something like this:
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:...
ANSWERAnswered 2022-Jan-28 at 17:58
I 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.
To start, I have updated the code from the official samples to our needs to explain a bit further on this:
I am using ngx-quill and the input body returns some HTML elements.
ANSWERAnswered 2022-Jan-16 at 01:28
Rule #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:
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.
ANSWERAnswered 2022-Jan-06 at 04:15
Ok 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.
Let's say I have the following arrays of strings:...
ANSWERAnswered 2021-Dec-19 at 07:31
The following solution should work Assume arrays are as follows
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:...
ANSWERAnswered 2021-Nov-15 at 15:46
Try setting a class to
No vulnerabilities reported
You can use Dust like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Dust component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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