flatted | A fast and minimal circular JSON parser | JSON Processing library

 by   WebReflection JavaScript Version: 3.3.1 License: ISC

kandi X-RAY | flatted Summary

kandi X-RAY | flatted Summary

flatted is a JavaScript library typically used in Utilities, JSON Processing applications. flatted has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i flatted' or download it from GitHub, npm.

A fast and minimal circular JSON parser.
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            kandi-support Support

              flatted has a medium active ecosystem.
              It has 898 star(s) with 49 fork(s). There are 12 watchers for this library.
              There were 6 major release(s) in the last 12 months.
              There are 0 open issues and 44 have been closed. On average issues are closed in 2 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of flatted is 3.3.1

            kandi-Quality Quality

              flatted has 0 bugs and 0 code smells.

            kandi-Security Security

              flatted has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              flatted code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              flatted is licensed under the ISC License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              flatted releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed flatted and discovered the below as its top functions. This is intended to give you an instant insight into flatted implemented functionality, and help decide if they suit your requirements.
            • Replace a value with a replacement .
            • returns the value of a variable
            • return the value of a function
            Get all kandi verified functions for this library.

            flatted Key Features

            No Key Features are available at this moment for flatted.

            flatted Examples and Code Snippets

            No Code Snippets are available at this moment for flatted.

            Community Discussions

            QUESTION

            Applying PCA to one-dimensional array
            Asked 2022-Mar-06 at 14:18

            For my university project, I was asked to analyse, discuss and improve the existing implementation of image face recognition.

            As an input data, I got n*m matrix where:

            • 'n' is a number of images, in my case, 1500.
            • 'm' is a flatted (vectorised) pixel matrix, so just a one-dimensional array. It was converted from a 77*78 matrix to one 5236 elements long list of grayscale values (0-255).

            It looks like:

            ...

            ANSWER

            Answered 2022-Mar-06 at 14:18

            However, on the internet, I've seen only examples with decreasing nm matrixes dimension to (for example) n1. I don't know if applying this algorithm to just a one-dimensional array is a good approach, I haven't found any example of that.

            You are not applying PCA to one dimensional array. You are applying it to 2D matrix, 1500 x 5236 and reduce it to 1500 x 200; this is exactly what you see online -> 2D matrix reduced to smaller feature space. Tutorials online will often do so in an extreme fashion (e.g. to 1500 x 2) because one of the main uses of PCA is data visualisation and plotting anything beyond 2dims is ... hard ;)

            Should I instead reshape each image back into the matrix, and then apply PCA on it?

            No, there seems to be a confusion to what the matrix is. Your entire data is the matrix, if you were to have pictures you would end up with 3d tensor, not a matrix. PCA, as traditionally defined, cannot be applied to anything but a 2D matrix.

            Or just left it as it is? Is it a good approach at all? Maybe there are some alternatives for PCA in my case?

            PCA is just a heuristic regularisation technique. You are removing information from your data, to avoid overfitting. There is absolutely no guarantee it will work or help. And there are many many other regularisation techniques one can try:

            • regularisation losses, e.g. weight decay
            • regularistaion in network itself, e.g. dropout
            • regularisation in the data itself, e.g. "data augmentation" (training on slight transformations of your pictures that does not affect the final label, e.g. rotations etc.)
            • regularisation in the way loss is specified, e.g. through soft labels or mixup.

            Source https://stackoverflow.com/questions/71370402

            QUESTION

            npm install issue : 27 vulnerabilities (16 moderate, 9 high, 2 critical) To address all issues , run: npm audit fix --force
            Asked 2022-Jan-02 at 13:52
            When I enter npm install in the relevant react project folder, it gives back this error after installing node modules ...

            ANSWER

            Answered 2021-Dec-07 at 06:54

            I had the same problem with literally the exact same number of vulnerabilities.

            Check out the solution here

            Source https://stackoverflow.com/questions/70229783

            QUESTION

            Why do I get npm install massive error in this repo
            Asked 2021-Dec-27 at 12:42

            I want to use this react-file-viewer but I can't get it running. When I do npm install I get massive error. I'm new to this.

            My Node version is v16.9.1

            This project is old and created for an older Node version I think so it's so many errors I don't know where to begin. Do you think it can work if I update all package.json dependencies to the newest version?

            ...

            ANSWER

            Answered 2021-Dec-25 at 08:52

            The error happened when running node-gyp during installation of node-sass as you can see in the error. Also mentioned in the error log, you most likely do not have Python installed.

            Try running node-gyp rebuild.

            If that fails, it means it is not setup correctly. Follow node-gyp documentation to setup your environment correctly, then re-run npm install.

            Also, take a look at node-sass supported Node version.

            Source https://stackoverflow.com/questions/70478888

            QUESTION

            How to flatten an array of objects?
            Asked 2021-Dec-19 at 19:24

            I have some data in a non desirable format and I would like to flatten it.

            Data:

            ...

            ANSWER

            Answered 2021-Dec-19 at 19:24

            You can use Array.reduce.

            In the reducer function, check whether the accumulator contains an item with the same team property. If so, increment its's count property and push the current item's name property to it's name property.

            Source https://stackoverflow.com/questions/70414512

            QUESTION

            Keeping nested prototype methods from object transfering from WebWorker
            Asked 2021-Nov-27 at 13:51

            I need to reserialize an object from a WebWorker sharing the same definitions.

            Upon reception of the message, I'm losing all the prototype functions.

            Doing

            ...

            ANSWER

            Answered 2021-Nov-27 at 13:51

            This is a classical problem with tying the knot on a circular structure. When deserialising, the flatted library has to start somewhere, passing in the original not-yet-revived object as the argument. It could in theory pass a proxy (or an object with getters) that parse the involved objects on-demand in the right order, but if all objects in the circle need to be revived this would lead to a stack overflow, as JS doesn't use lazy evaluation where you can reference the result of a call before having evaluated it.

            A pure approach would actually need a reviver function that does support such a lazy approach, not accessing the object passed to it until after the deserialisation has finished:

            Source https://stackoverflow.com/questions/70020846

            QUESTION

            npm ERR! Unexpected token ! in JSON at position 0 while parsing near '!function(){var a="/...'
            Asked 2021-Sep-30 at 18:36

            I'm facing an issue when I try to install the npm on my node project. I tried to clean the npm cache and downgraded the node also but error is not fixed.

            ...

            ANSWER

            Answered 2021-Sep-30 at 18:36

            I solved the problem by running this command:

            Source https://stackoverflow.com/questions/69191302

            QUESTION

            Flatten multiindex dataframe levels and remove string from end of column names if contains
            Asked 2021-Sep-28 at 21:10

            I have a dataframe like this

            ...

            ANSWER

            Answered 2021-Sep-28 at 21:10

            QUESTION

            Node.js command throwing errors in Ubuntu
            Asked 2021-Aug-20 at 11:46

            I am attempting to add an additional functionality to the Divi WordPress theme. To do this, I am trying to build an extension to the theme and then a custom module within the extension. Elegant Themes, the developer of Divi, provides a tutorial for creating an extension and also for creating a module within the extension.

            My development PC is running XAMPP over Ubuntu 20.04. I followed the tutorials and installed WordPress + Divi. I then installed Node.js by running sudo apt install node and then installed npm by running sudo apt install npm. Next, I ran sudo npm install -g yarn to install Yarn.

            The next step called for me to navigate to the plugins folder (/opt/lampp/htdocs/development/wp-content/plugins) of my WordPress site and run npx create-divi-extension development-1.

            When I attempted to run this command, I received the following response:

            ...

            ANSWER

            Answered 2021-Aug-20 at 11:46

            The issue was a result of not using the correct version of Node and not having the divi-scripts package installed. The fix was simple really.

            Step 1: In my home directory, I ran sudo n stable and this updated Node to the latest LTS version.

            Step 2: While still in my home directory, I ran npm install divi-scripts. There were still some errors about deprecated dependencies (see here) but it worked.

            Step 3: Navigated to my project folder and ran npx create-divi-extension development-1 and it ran successfully, but still with errors about deprecated dependencies for divi-scripts.

            Source https://stackoverflow.com/questions/68855682

            QUESTION

            Group the column values in a data frame
            Asked 2021-Aug-10 at 13:35

            I have a Json array with key value pairs like below

            ...

            ANSWER

            Answered 2021-Aug-10 at 13:35

            You can either use @AnuragDabas’ solution from the comments, combined with .rename_axis() to remove the index names:

            Source https://stackoverflow.com/questions/68727367

            QUESTION

            TensorFlow: Import image into tensor-flow model
            Asked 2021-Jan-19 at 18:34

            I am new on deep learning. To practicing I trained a simple Handwriting model with tensor-flow and mnist. After loading mnist I made model and trained that:

            ...

            ANSWER

            Answered 2021-Jan-19 at 18:34

            I finally fix my problem.

            Source https://stackoverflow.com/questions/65768971

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install flatted

            You can install using 'npm i flatted' or download it from GitHub, npm.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            npm i flatted

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