kappa | A hierarchical npm-registry proxy | Runtime Evironment library

 by   krakenjs JavaScript Version: 1.0.0-rc.14 License: Non-SPDX

kandi X-RAY | kappa Summary

kandi X-RAY | kappa Summary

kappa is a JavaScript library typically used in Server, Runtime Evironment, Nodejs, NPM applications. kappa has no bugs, it has no vulnerabilities and it has low support. However kappa has a Non-SPDX License. You can install using 'npm i kappa' or download it from GitHub, npm.

Based on [npm-delegate] (by Jason Denizac jason@denizac.org, this module is a hapi plugin used to proxy npm to support private npm repos without replicating the entire public registry. NOTE: The config.json described below is a Hapi Composer manifest that describes kappa as a plugin. See ./example/global/config.json or ./example/local/config.json for more information. Using docker-compose, just run docker-compose up in a directory containing our docker-compose.yml file. Soon after you'll have a working kappa instance set up to use a local couch instance (falling back to the public registry) on If you choose to install locally, running kappa is as easy as.

            kandi-support Support

              kappa has a low active ecosystem.
              It has 567 star(s) with 67 fork(s). There are 27 watchers for this library.
              It had no major release in the last 12 months.
              There are 12 open issues and 40 have been closed. On average issues are closed in 76 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of kappa is 1.0.0-rc.14

            kandi-Quality Quality

              kappa has no bugs reported.

            kandi-Security Security

              kappa has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              kappa has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              kappa releases are available to install and integrate.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of kappa
            Get all kandi verified functions for this library.

            kappa Key Features

            No Key Features are available at this moment for kappa.

            kappa Examples and Code Snippets

            JavaScriptdot img1Lines of Code : 68dot img1no licencesLicense : No License
            copy iconCopy
            var memdb = require('memdb')
            var kappa = require('kappa-core')
            var kv = require('.')
            // initialize kappa-core (on disk storage ("db") + in-memory views (memdb))
            var core = kappa('./db', { valueEncoding: 'json' })
            var idx = memdb()
            // create the key  
            copy iconCopy
            shopt -s nocasematch            # make the match case-insensitive
            # print the arrays and empty them
            flush() {
                printf "%s" "%+ "
                printf "%s\n" "${out1[@]}" "${out2[@]}"
                out1=(); out2=()
            while IFS= read -r line; 
            Fitting custom distribution scipy.stats gives overflow
            JavaScriptdot img3Lines of Code : 23dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            class ged(st.rv_continuous):
                def _pdf(self, x, mu, sigma, kappa):
                    term1 = gamma(3*kappa)/gamma(kappa)
                    exponent = (term1 * ((x - mu)/sigma)**2)**(1/(2*kappa))
                    term2 = np.exp(-exponent)
            WINDBG: Viewing values of variables in unnamed namespace
            JavaScriptdot img4Lines of Code : 169dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            #include "anonall.h"
            namespace {
                map mymap;
                const char *Greek_Alphabets[ALLOCSIZ] = { "Alp","Bet","Gam","Del","Eps" };
            namespace ns {
                namespace {
                    map mymap;
                    const char *Greek_Alphabets[ALLOCSIZ]={ 
            Newton Raphson iteration - unable to iterate
            JavaScriptdot img5Lines of Code : 143dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
              -0.152581477302743        7.31503025786548        259.608693509165
              -3.152934473473579E-002   99474.1999921620
              -0.152580456940175        7.31501855886952        259.608692604963
              -8.731149137020111E-011   994

            Community Discussions


            Circular histogram with fitted Von Mises Distribution
            Asked 2021-Jun-13 at 15:13

            For the past days I've been trying to plot circular data with python, by constructing a circular histogram ranging from 0 to 2pi and fitting a Von Mises Distribution. What I really want to achieve is this:

            1. Directional data with fitted Von-Mises Distribution. This plot was constructed with Matplotlib, Scipy and Numpy and can be found at: http://jpktd.blogspot.com/2012/11/polar-histogram.html

            1. This plot was produced using R, but gives the idea of what I want to plot. It can be found here: https://www.zeileis.org/news/circtree/

            WHAT I HAVE DONE SO FAR:



            Answered 2021-Apr-27 at 15:36

            This is what I achieved:

            I'm not entirely sure if you wanted x to range from [-pi,pi] or [0,2pi]. If you want the range [0,2pi] instead, just comment out the lines ax.set_xlim and ax.set_xticks.

            Source https://stackoverflow.com/questions/67282865


            how can I improve this confusion matrix in R?
            Asked 2021-Jun-12 at 09:20

            Using the iris dataset in R, I write a function to plot a confusion matrix.



            Answered 2021-Jun-12 at 09:19

            You can create separate column for labels. For 0 frequency make them as blank.

            Source https://stackoverflow.com/questions/67946452


            Why some accuracy measures aren't showing in caret ( F1 , Recall and precision )
            Asked 2021-Jun-11 at 13:53

            Good afternoon ,

            Assume we have the following :



            Answered 2021-Jun-11 at 13:53

            I had found a solution. confusionMatrix() has an option called mode='everything' that outputs all implemented measures :

            Source https://stackoverflow.com/questions/67936497


            Add row and column totals to figure
            Asked 2021-Jun-08 at 21:49

            I would like to add column and row % to the following figure. For instance, across the top of the plot (outside) it would be 1%, 6%, 17%, and 76%, representing the distribution for Coder 1. Down the right (outside) would be the row distributions.

            Maybe this is better as a table, but it feels like it wants to be a figure.



            Answered 2021-Jun-08 at 21:49

            Making use of the secondary axis trick by Claus Wilke you could do:

            1. Aggregate your data by row and column.
            2. Add secondary axes to your plot via dup_axis and set the labels equal to the row or column totals:

            Source https://stackoverflow.com/questions/67892948


            Drawing lines on top of bar chart using ggplot (Box and Whisker kind)
            Asked 2021-Jun-06 at 10:02

            I am trying to draw the following: Given a bar chart in ggplot similar to this one: a grouped bar chart, flipped over x axis.

            I would like to draw a line on top of each of the bars. The longitude of the line is defined in the dataframe df2. (think about it as some sort of standard deviation)

            The longitude of the line is defined, and it will be centered at the highest point of each bar. As you can see this is not similar to a boxplot, it is a line that will always remain constant and centered on top of each bar.

            So I was wondering if it was possible to do this with the code I am showing in the next Section. In excel it is quite fast to do this using what is called a Box and wisker plot. The final result should look like the following:

            This is the code I am currently using, hope someone can please help me out.



            Answered 2021-May-19 at 17:03

            You probably want to use 'geom_errorbar' which will flip when 'coord_flip' is called as well.

            An example from my own data is here:

            Source https://stackoverflow.com/questions/67607530


            Can I use group_map or group_walk to iteratively export results?
            Asked 2021-Jun-06 at 01:50

            I want to iteratively process a master list of comparisons using group_walk() or group_map() as an alternative method to import batches of .csv files.

            I would like to input a dataset that looks like this:

            Test Assay Var1 Var2 Freq Assay1 neg neg 19 Assay1 neg pos 5 Assay1 pos neg 8 Assay1 pos pos 141 Assay2 neg neg 25 Assay2 neg pos 6 Assay2 pos neg 17 Assay2 pos pos 33 Assay3 neg neg 99 Assay3 neg pos 20 Assay3 pos neg 5 Assay3 pos pos 105

            I want to use the function epi_analysis and export a csv for each Test Assay (in this example Assay1, Assay2, and Assay3). So far I have:



            Answered 2021-Jun-06 at 01:50

            You need to call your function in group_map. Also the function requires two arguments so pass the_dir_ex as well.

            Use this function -

            Source https://stackoverflow.com/questions/67849515


            R: Split multiple rows into a list element based on pattern
            Asked 2021-Jun-02 at 11:06

            I'm trying to parse this .txt file in R: https://ftp.expasy.org/databases/cellosaurus/cellosaurus.txt

            It's essentially a single column data frame of some ~2 million rows, with each entity being described by multiple rows and bookended by rows containing the string "//".

            Ideally, I could capture each entity, made up of multiple rows, as a list element by splitting at "//", but I'm not sure of the most efficient way to go about this.

            Any help is much appreciated.


            Here's a snippet of what I'm working with:



            Answered 2021-Jun-02 at 11:06

            Here is one solution using data.table.

            Source https://stackoverflow.com/questions/67793779


            How to add a legend entry for an errorbar in a barchart?
            Asked 2021-May-31 at 09:05

            I was wondering if it is possible to do the following in R:

            I am doing a dodged barchart and using the geom error bar. I am currently using the following example:



            Answered 2021-May-31 at 09:04

            Instead of setting the color of the error bar as argument map on the color aesthetic, which will automatically give you a legend entry, and set the color and/or label via scale_color_manual:

            Source https://stackoverflow.com/questions/67770647


            How to compare two directories and move files unique (in name or contents) to the 1st directory elsewhere?
            Asked 2021-May-26 at 00:47

            I have two directories containing folders and files, as seen below



            Answered 2021-May-26 at 00:47

            You can use jdupes to do this, like so:


            Source https://stackoverflow.com/questions/66949310


            Extracting beta values from trained caret model
            Asked 2021-May-22 at 18:37

            I am trying to extract the beta values from a model determined using train() from the caret package.



            Answered 2021-May-22 at 18:37

            With beta values, my guess is you are referring to the coefficients. The summary function calls pls:::summary.mvrfrom pls only returns the explained variances. You can do ?pls:::summary.mvr to see what this does. It does not work on the output of plsda.

            Using an example dataset, we fit using caret:

            Source https://stackoverflow.com/questions/67651321

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


            No vulnerabilities reported

            Install kappa

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


            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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