mget | Multithreaded metalink/file/website downloader | HTTP library

 by   rockdaboot C Version: 0.1.9 License: LGPL-3.0

kandi X-RAY | mget Summary

kandi X-RAY | mget Summary

mget is a C library typically used in Networking, HTTP applications. mget has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

This is a multithreaded Wget-like tool and library written in C. Designed and written from scratch it requires a C99 and Posix compliant development environment. Included is the stand-alone library libmget which provides an interface to many useful functions used by Mget. The originally purpose was to help out on Wget2 development (refactoring, modern and clean code, new technology, new design). In many cases Mget downloads much faster than Wget1.14 due to HTTP zlib compression, parallel connections and use of If-Modified-Since HTTP header. It consumes less system and user CPU cycles due to larger buffers and buffer recycling.
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            kandi-support Support

              mget has a low active ecosystem.
              It has 103 star(s) with 19 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 25 have been closed. On average issues are closed in 73 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mget is 0.1.9

            kandi-Quality Quality

              mget has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              mget is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

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

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            mget Key Features

            No Key Features are available at this moment for mget.

            mget Examples and Code Snippets

            Get multiple keys (MGET):
            npmdot img1Lines of Code : 7dot img1no licencesLicense : No License
            copy iconCopy
            value = myCache.mget( [ "myKeyA", "myKeyB" ] );
            /*
            	{
            		"myKeyA": { my: "Special", variable: 123 },
            		"myKeyB": { the: "Glory", answer: 42 }
            	}
            */
            
              

            Community Discussions

            QUESTION

            Loop through dataframes in global environment and apply function to them
            Asked 2021-Jun-11 at 03:54

            I'm going to explain what my code is supposed to do:

            First I import an arbitrary number of dataframes of the same number of columns and somewhat similar names (they're stock tickers).

            Second, I create a function that changes the data type of the first column (from factor to date), deletes one column and finally adds an arbitrary number of columns as functions of the other columns (like returns, moving average, etc.)

            Finally, since I'm working with plenty of dataframes, I want to apply this said function to all of them through a loop.

            Now, as simple as this sounds, I've encountered many issues with the third step.

            What I found online was this, to get all names of the dataframes in my environment:

            ...

            ANSWER

            Answered 2021-Jun-11 at 03:54

            Keeping your original formatear function

            Source https://stackoverflow.com/questions/67931043

            QUESTION

            Pull a list of json-formatterd strings from a redis database into a Pandas dataframe
            Asked 2021-May-21 at 18:50

            I have a webapp that reads from a redis database. The database returns a List of Strings in json format. See this code snippet:

            ...

            ANSWER

            Answered 2021-May-21 at 18:39

            Try using json.loads with pd.DataFrame

            Ex:

            Source https://stackoverflow.com/questions/67642257

            QUESTION

            control scoping of arguments supplied to lm() from whithin a function called by lapply
            Asked 2021-May-20 at 03:11

            I have a function that takes a dataset, extracts different variables, and then makes linear models from those variables (it expects the response in the last column). I want the data argument of the calls for these models to use objects in the global environment so that I can manipulate them with other functions outside this function. The following gives the expected behavior when provided with a single dataset.

            ...

            ANSWER

            Answered 2021-May-20 at 03:11

            The only thing that I could think of was to add an if statement to my make mods function that tests if the input is a call or not. If it's a call, it expects it to be a call for a dataset in the global environment.

            Source https://stackoverflow.com/questions/67578290

            QUESTION

            How to concentrate function arguments into a vector in R by a function?
            Asked 2021-May-17 at 13:04

            I have some R-function f, which fixes some parameters of some other function target (thanks to GKi for help):

            ...

            ANSWER

            Answered 2021-May-17 at 13:04

            You are making this too complicated.

            Source https://stackoverflow.com/questions/67569723

            QUESTION

            Remove outliers by condition from list of data frames
            Asked 2021-May-13 at 08:12

            I try to create a function to remove multiple outliers via cooks distance from a list of data frames. There are some problems at the moment:

            1. Can I formulate part 1 as function? I tried several things that did not work out. I want to use several different variables for the lm - so it would be great if I could use colnumbers and the regular expression syntax of data frames as input argument.

            2. Part 2 - the filename of the plots are not correct. It takes the first observation in each data frame from the list as filename. How can I correct this?

            3. Part 3: data frames without the outliers are not created. Function comes to an end after the message is printed. I can't find my mistake.

            ...

            ANSWER

            Answered 2021-May-12 at 11:12

            In general, it is not a good practice to create multiple dataframes in global environment. Lists always are a better option, they are easy to manage.

            Part 1 -

            You can combine multiple steps in one lapply function. Here in part 1 we apply lm and cooks.distance function together in the same lapply call.

            Source https://stackoverflow.com/questions/67499803

            QUESTION

            R: How to merge a new data frame to several other data frames in a list
            Asked 2021-May-12 at 10:21

            I have several seperate data frames that I would like to keep separated because merging them together would create a very large element.

            However, there are variables from another data frame that I would like to merge with all of them now.

            Here is an example of what I would like to do:

            ...

            ANSWER

            Answered 2021-May-12 at 10:20

            You can use lapply to merge all the dataframes in dfs with mergewith. Use list2env to get the changed dataframes in the global environment.

            Source https://stackoverflow.com/questions/67501646

            QUESTION

            Creating new columns in multiple dataframes in R
            Asked 2021-Apr-30 at 13:29

            Following my previous question, I work with a large number of dataframes in R, each of which has a different number of columns. I want to assilimilate these datasets so that all of them have the same number of columns and NA values for newly-added columns. I have written a loop but I am not sure how to update the real dataframes.

            ...

            ANSWER

            Answered 2021-Apr-30 at 11:37

            i looked it up quick and the solution is the assign() function.

            So here is your reprex with assign. But I also read about that it would be useful to gather your dataframes into one list and then you could change the name of the listposition I think.

            Source https://stackoverflow.com/questions/67332368

            QUESTION

            converting map_dbl output to tibble in R tidyverse
            Asked 2021-Apr-30 at 08:45

            I work with a large number of dataframes in R and I want to find the dataframes with the minimum and the maximum number of columns and finding the difference in their column names. However, I got stuck in turning my map_dbl results to a regular tibble.

            ...

            ANSWER

            Answered 2021-Apr-30 at 08:45

            QUESTION

            Correlation function over multiple data frames in R
            Asked 2021-Apr-28 at 17:37

            I'm kind of stucked in my data analysis. I have multiple data frames with which I need to do correlation analysis. And I want to pack the parameters of cor.test into a list of data frames. Each data frame is a product of splitted data frame by a factor variable and only contain 2 variables (those of interest). I need to do this for several variables throughout my research project so it would be good to have a function for it in future.

            The Rcode:

            ...

            ANSWER

            Answered 2021-Apr-28 at 17:37

            Without more information on your data, it is hard to be specific, but here is an example using a data set iris that is included with R. It has various measurements for each of three species of iris. The basic steps are to split the data frame into a list containing three data frames, one for each species. Then use lapply three times, once to run the correlation test, a second time to extract the statistics you want, and a third time because the confidence intervals are a vector not a scalar value. Hopefully this will be similar to the organization of your data:

            Source https://stackoverflow.com/questions/67303915

            QUESTION

            Process a Either Reply [Maybe ByteString] into a [Maybe Text]
            Asked 2021-Apr-27 at 10:41

            The following code runs a mget command with Hedis, and return the result as a [Maybe BS.ByteString]:

            ...

            ANSWER

            Answered 2021-Apr-27 at 10:41

            What you're asking about is essentially how to fmap arbitrarily deep into a stack of functors. That can easily be done by composing fmaps:

            Source https://stackoverflow.com/questions/67281182

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

            Vulnerabilities

            No vulnerabilities reported

            Install mget

            You can download it from GitHub.

            Support

            [Project](https://github.com/rockdaboot/mget)<br>; [Website](http://rockdaboot.github.io/mget)<br>; [Mailing List](https://groups.google.com/forum/#!forum/mget-bugs). To join the mailing list send an email to. and follow the instructions provided by the answer mail.
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