tko | Technical Knockout – The Monorepo for Knockout.js | Model View Controller library

 by   knockout TypeScript Version: v4.0.0-alpha3 License: Non-SPDX

kandi X-RAY | tko Summary

kandi X-RAY | tko Summary

tko is a TypeScript library typically used in Architecture, Model View Controller, Framework applications. tko has no bugs, it has no vulnerabilities and it has low support. However tko has a Non-SPDX License. You can download it from GitHub.

TKO houses the monorepo of Knockout.
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            kandi-support Support

              tko has a low active ecosystem.
              It has 239 star(s) with 27 fork(s). There are 48 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 48 open issues and 54 have been closed. On average issues are closed in 57 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of tko is v4.0.0-alpha3

            kandi-Quality Quality

              tko has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              tko 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

              tko releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tko and discovered the below as its top functions. This is intended to give you an instant insight into tko implemented functionality, and help decide if they suit your requirements.
            • Creates a template from the given DOM element and sets it to the appropriate templates .
            • Set Sauce Labs config .
            • Wrap compare arrays calls to compare arrays
            • render test template for tests
            • Checks an array of operations to see if the operation in order .
            • Load a component .
            • Makes an AMDAML environment for the specified modules .
            • Function to run a test instance
            • Ensures that a DOM element is present in the DOM .
            • Generate index . html
            Get all kandi verified functions for this library.

            tko Key Features

            No Key Features are available at this moment for tko.

            tko Examples and Code Snippets

            No Code Snippets are available at this moment for tko.

            Community Discussions

            QUESTION

            JS regex to match zero-width position either loops forever or doesn't match at all
            Asked 2022-Jan-27 at 03:05

            Okay, so I have this string "nesˈo:tkʰo:x", and I want to get the index of all the zero-width positions that don't occur after any instance of the character ˈ (the IPA primary stress symbol). So in this case, those expected output would be 0, 1, 2, and 3 - the indices of the letters nes that occur before the one and only instance of ˈ, plus the ˈ itself.

            I'm doing this with regex for reasons I'll get into in a bit. Regex101 confirms that /(?=.*?ˈ)/ should match all 4 of those zero-width positions with JS' regex flavor... but I can't actually get JS to return them.

            A simple setup might look like this:

            ...

            ANSWER

            Answered 2022-Jan-27 at 01:44

            Use String.prototype.matchAll() to get all the matches.

            Source https://stackoverflow.com/questions/70872269

            QUESTION

            Pandas: convert object to str
            Asked 2021-Oct-21 at 09:05

            I have the following dataframe:

            ...

            ANSWER

            Answered 2021-Oct-21 at 09:05

            I realize that object is not a problem, instead is the type that pandas use for string or mixed types (https://pbpython.com/pandas_dtypes.html). More precisely:

            Pandas dtype Python type NumPy type Usage object str or mixed string_, unicode_, mixed types Text or mixed numeric and non-numeric values int64 int int_, int8, int16, int32, int64, uint8, uint16, uint32, uint64 Integer numbers float64 float float_, float16, float32, float64 Floating point numbers

            Infact if I print the type of a single cell it gives me str

            Source https://stackoverflow.com/questions/69616585

            QUESTION

            comparing data of two data frames
            Asked 2021-Oct-03 at 12:26

            I have two data frames and i want to compare the data of those two datasets in another dataframe.

            my objective is to compare all column of two dataframes and also check their texts . i want to check both the data base are consistent.

            Note: rows and column in both data frame can vary

            ...

            ANSWER

            Answered 2021-Oct-03 at 12:26
            library(tidyverse)
            df1 <- data.frame(MAN=c(6,6,4,6,8,6,8,4,4,6,6,8,8),MANi=c("OD","NY","CA","CA","OD","CA","OD","NY","OL","NY","OD","CA","OD"),
                              nune=c("akas","mani","juna","mau","nuh","kil","kman","nuha","huna","kman","nuha","huna","mani"),
                              klay=c(1,2,2,1,1,2,1,2,1,2,1,1,2),emial=c("dd","xyz","abc","dd","xyz","abc","dd","xyz","abc","dd","xyz","abc","dd"),Pass=c("Low","High","Low","Low","High","Low","High","High","Low","High","High","High","Low"),fri=c("KKK","USA","IND","SRI","PAK","CHI","JYP","TGA","KKK","USA","IND","SRI","PAK"),
                              mkl=c("m","f","m","m","f","m","m","f","m","m","f","m","m"),kin=c("Sent","Rec","Sent","Rec","Sent","Rec","Sent","Rec","Sent","Rec","Rec","Sent","Rec"),munc=c("Car","Bus","Truk","Cyl","Bus","Car","Bus","Bus","Bus","Car","Car","Cyl","Car"),
                              lone=c("Sr","jun","sr","jun","man","man","jr","Sr","jun","sr","jun","man","man"),wond=c("tko","kent","bho","kilt","kent","bho","kent","bho","bho","kilt","kent","bho","kilt"))
            
            df2 <- data.frame(MAN=c(6,6,4,6,8,6,8,4,4,6,6,8,8,8,6),MANi=c("OD","NY","CA","CA","OD","CA","OD","NY","OL","ny","OD","CA","OD","NY","OL"),
                              nune=c("akas","mani","juna","mau","nuh","kil","kman","nuha","huna","kman","nuha","huna","mani","juna","mau"),
                              klay=c(1,2,2,1,1,2,1,2,1,2,1,1,2,2,1),emial=c("dd","xyz","ABC","dd","xyz","ABC","dd","xyz","ABC","dd","xyz","ABC","dd","xyz","ABC"),Pass=c("Low","High","Low","Low","High","Low","High","High","Low","High","High","High","Low","High","High"),fri=c("KKK","USA","IND","SRI","PAK","CHI","JYP","TGA","KKK","USA","IND","SRI","PAK","CHI","JYP"),
                              mkl=c("male","female","male","male","female","male","male","female","male","male","female","male","male","female","male"),kin=c("Sent","Rec","Sent","Rec","Sent","Rec","Sent","Rec","Sent","Rec","Rec","Sent","Rec","Sent","Rec"),munc=c("Car","Bus","Truk","Cyl","Bus","Car","Bus","Bus","Bus","Car","Car","Cyl","Car","Bus","Bus"),
                              lone=c("Sr","jun","sr","jun","man","man","jr","Sr","jun","sr","jun","man","man","jr","man"),wond=c("tko","kent","bho","kilt","kent","bho","kent","bho","bho","kilt","kent","bho","kilt","kent","bho"))
            
            df1_long <- df1 %>% 
              as_tibble() %>% 
              mutate_if(is.double, as.character) %>% 
              pivot_longer(everything(), names_to = "Names", values_to = "options") %>%   
              arrange(Names, options)
            
            df2_long <- df2 %>% 
              as_tibble() %>% 
              mutate_if(is.double, as.character) %>% 
              pivot_longer(everything(), names_to = "Names", values_to = "options") %>%   
              arrange(Names, options)
            
            df1_long %>% 
              full_join(df2_long, by=c("Names", "options"), keep = TRUE) %>% 
              distinct(Names.x, options.x, Names.y, options.y) %>% 
              arrange(Names.x, Names.y,  options.x, options.y) %>% 
              mutate(
                consistant_names = !is.na(Names.x) & !is.na(Names.y),
                consistant_options = !is.na(options.x) & !is.na(options.y)
              ) 
            

            Source https://stackoverflow.com/questions/69424496

            QUESTION

            getting summary of names in two data frames
            Asked 2021-Oct-03 at 09:26

            I have two data frames of more than 200 columns and i want to create a summary to check if the names of columns are matching. i want o create a function for that.

            i want to compare matching names of two data frame if they matching exactly then join them other with bind that in new row.

            ...

            ANSWER

            Answered 2021-Oct-03 at 09:26
            compare_names <- function(df1, df2) {
              # Get All Names to start with.
              out <- data.frame(names1 = unique(c(names(df1), names(df2))))
            
              # Copy them over.
              out$names2 <- out$names1
            
              # Set them to NA if they are not present.
              out$names1[!(out$names1 %in% names(df1))] <- NA
              out$names2[!(out$names2 %in% names(df2))] <- NA
            
              # If they are not NA in both columns above then they are matching.
              out$matching <- !is.na(out$names1) & !is.na(out$names2)
              out
            }
            

            Source https://stackoverflow.com/questions/69423309

            QUESTION

            spring batch SQL queries without prepared statement
            Asked 2021-Apr-26 at 10:01

            I read lines, generate SQL queries from the data and i need to write to the DB. My process is OK but i have trouble querying the DB with the writer. I think that i cannot use PreparedStatement as i have nothing else but the generated query and those query changes, so it will generate an error i think ( invalid batch command ). How can i simply put my SQL here ? Can i pass an attribute in the sql method like this : .sql(query) ? Btw i switched to StringDTO when i simply need a String. I had no other way to map the query to the String class, what would be the most appropriate ? It seems quite bad to create an object just to create a String inside

            Here is my code :

            ...

            ANSWER

            Answered 2021-Apr-26 at 08:16

            my processor does return a list of queries - queries concern multiple tables

            In this case, you need to use a custom item writer because the JdbcBatchItemWriter accepts a single query.

            Source https://stackoverflow.com/questions/67231531

            QUESTION

            Django not detecting date time field in model
            Asked 2020-Dec-03 at 22:27

            I have this model

            ...

            ANSWER

            Answered 2020-Dec-03 at 22:27

            I suppose it is because you change the field name with the name attribute: ....models.DateTimeField(name='Date ....

            Source https://stackoverflow.com/questions/65131263

            QUESTION

            Merge an interface from a const with a generic function into a generic interface
            Asked 2020-Apr-27 at 00:55

            Given a bunch of legacy code following a pattern with a const like this:

            ...

            ANSWER

            Answered 2020-Apr-27 at 00:55

            Let's use this definition of Proto:

            Source https://stackoverflow.com/questions/61427945

            QUESTION

            How to import KnockOut 4 in TypeScript?
            Asked 2020-Apr-09 at 11:31

            This seems simple because the same code works well in simple JS file and it also has autocompletion for the ko variable's members. I have the following TypeScript code below:

            ...

            ANSWER

            Answered 2020-Apr-09 at 10:42

            If you get knockout version 3 via 'npm' or 'yarn':

            Source https://stackoverflow.com/questions/61117755

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

            Vulnerabilities

            No vulnerabilities reported

            Install tko

            To install use one of the usual package managers e.g. The Knockout build has some backwards compatibility that is not in the reference build. See the build differences, here: https://tko.io/3to4.
            $ yarn add @tko/build.reference
            $ npm install @tko/build.reference
            Reference Build: https://cdn.jsdelivr.net/npm/@tko/build.reference@4.0.0-alpha8/dist/build.reference.min.js
            Knockout Build https://cdn.jsdelivr.net/npm/@tko/build.knockout@4.0.0-alpha8/dist/build.knockout.min.js

            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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          • HTTPS

            https://github.com/knockout/tko.git

          • CLI

            gh repo clone knockout/tko

          • sshUrl

            git@github.com:knockout/tko.git

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