mget | Multithreaded metalink/file/website downloader | HTTP library
kandi X-RAY | mget Summary
kandi X-RAY | mget Summary
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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mget Key Features
mget Examples and Code Snippets
value = myCache.mget( [ "myKeyA", "myKeyB" ] );
/*
{
"myKeyA": { my: "Special", variable: 123 },
"myKeyB": { the: "Glory", answer: 42 }
}
*/
Community Discussions
Trending Discussions on mget
QUESTION
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 03:54Keeping your original formatear
function
QUESTION
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 18:39Try using json.loads
with pd.DataFrame
Ex:
QUESTION
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 03:11The 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.
QUESTION
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 13:04You are making this too complicated.
QUESTION
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:
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.
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?
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 11:12In 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.
QUESTION
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 10:20You can use lapply
to merge
all the dataframes in dfs
with mergewith
. Use list2env
to get the changed dataframes in the global environment.
QUESTION
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 11:37i 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.
QUESTION
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 08:45You can do :
QUESTION
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 17:37Without 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:
QUESTION
The following code runs a mget
command with Hedis, and return the result as a [Maybe BS.ByteString]
:
ANSWER
Answered 2021-Apr-27 at 10:41What you're asking about is essentially how to fmap
arbitrarily deep into a stack of functors. That can easily be done by composing fmap
s:
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