clog | Colorful console output in NodeJS | Command Line Interface library
kandi X-RAY | clog Summary
kandi X-RAY | clog Summary
Colorful console output for your applications in NodeJS.
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clog Key Features
clog Examples and Code Snippets
License : Strong Copyleft (CC BY-SA 4.0)
CopyFuture callLogDB() async {
Iterable cLog = await CallLog.get();
final dbHelper = DatabaseHelper.instance;
cLog.toList().asMap().forEach((cLogIndex, log) async {
// row to insert
Map row = {
DatabaseHelper.columnId: cLogIndex,
timer(0, 1000)
.pipe(
// recommend use switchMap so a hanging request doesn't clog your stream
switchMap(() => from(retrieveFiles()).pipe( // need from to make it pipeable
mergeMap(value => value),
groupBy(
Community Discussions
Trending Discussions on clog
QUESTION
I need to submit a slurm array that will run the same script 18000 times (for independent genes), and I wanted to do this in a way that won't cause problems for my Uni's cluster.
Currently, the MaxArraySize set by the admins is 2048. I was going to manually set my options like:
First array script:
...ANSWER
Answered 2021-Jun-11 at 11:31You can submit two jobs with
QUESTION
I was trying to obtain the expected utility for each individual using R's survival package (clogit function) and I was not able to find a simple solution such as mlogit's logsum.
Below I set an example of how one would do it using the mlogit package. It is pretty straight forward: it just requires regressing the variables with the mlogit function, save the output and use it as an argument in the logsum function -- if needed, there is a short explanation in this vignette. And what I want is to know the similar method for clogit. I've read the package's manual but I have failed to grasp what would be the most adequate function to perform the analsysis.
Note1: My preference for a function like mlogit's is related to the fact that I might need to perform tons of regressions later on and being able to perform the correct estimation in different scenarios would be helpful.
Note2: I do not intend that the dataset created below be representative of how data should behave. I've set the example solely for the purpose of perfoming the function after the logit regressions.
**
...ANSWER
Answered 2021-Jun-07 at 00:20The vignette you offer says the logsum is calculated as:
To my reading that is similar to the calculation used to construct the "linear predictor". the lp is t(coef(clog)) %*% Xhat. If I'm correct on that interpretation, then that is stored in the clog-object:
QUESTION
I am currently working with the PIXet Pro software and a Timepix detector to perform data analysis. My output file from the detector is a .clog file (you can open it as a .txt) organized as follows: Every row corresponds to a cluster of pixels, and the data is shown as [x,y,value].
I would like to edit this file in order to generate a raster plot of the full pixel matrix (256x256 pix), as well as an energy histogram (summing each cluster value, i.e. ever "value" in a row and making it an histogram entry).
How can I do this? I'd like to know how to rewrite my data in a more useful format and which format to use.
...ANSWER
Answered 2021-May-29 at 09:19Finally I managed to do this, and I will explain how so that someone can use it too.
First of all i removed every "non data" character and used spaces as a separator. Then i opened the file in R by inserting it ina 768 columns long dataframe (3 vlaues x 256 pixels), with NA for every missing value.
The parsing is done by chosing every third column starting from the 1st (for X), from the 2nd (for Y) and 3rd (for VALUE).
QUESTION
I have a backend Django REST API that also helps serve my React frontend. I currently have an issue with my API requests url paths to my Django API in production for every page except my home page...
API URL's that work:
I'm able to visit my home page, within my home page, I have a GET request to my API which works great and loads data as expected. This is the only working GET request of my website because the API URL path is correct to my urlpatterns syntax.
API URL's that DON'T work:
The issues arise when I visit a page OTHER than the home page of my React app. My API requests to Django on other pages are using the wrong URL path according to my network panel (they are also responding with index.html), which has me believe I set up my django URLs wrong.
Please checkout my configuration below:
main urls.py:
...ANSWER
Answered 2021-May-03 at 16:38It makes sense, that it always returns the index.html. Your catch all regex prevents your API calls to be called, so it always resolves to render_react. I think you have 3 options.
- You try to put the catch-all patterns to the bottom of all urlpatterns - I'm not sure how reliable this is though
- You do not catch all by deleting
re_path(".*/", render_react),and explicitly name every react page you want to use - You change the catch-all regex to exclude your Django apps with something like
re_path("(?!api).*/", render_react),
I would choose option 2, as it gives you most control of your urls
QUESTION
I would like to know how it works...
In the header, there is namespace std:
ANSWER
Answered 2021-May-03 at 08:31How libstdc++ used by gcc does it:
Storage for cout is defined as a global variable of type fake_ostream which is presumably constructible without problems.
https://github.com/gcc-mirror/gcc/blob/master/libstdc%2B%2B-v3/src/c%2B%2B98/globals_io.cc
Then during library initialization rewritten with a placement new using the explicit constructor. https://github.com/gcc-mirror/gcc/blob/master/libstdc%2B%2B-v3/src/c%2B%2B98/ios_init.cc
Other compilers have their own libraries and may use different tricks. Examining the source of libc++ used by clang left as exercise for the reader.
QUESTION
I'm using Redis streams to build a queueing feature. I want to prevent bad messages clogging the queue, so I only want to try them N times before discarding them.
I'm using the pattern:
...ANSWER
Answered 2021-Apr-30 at 21:44As Itamar Haber points out in the comments, the retry counter can be accessed with the extended form of XPENDING. Specifically, the fourth value of the response tuple is the "number of times this message was delivered."
QUESTION
I need a hand because I can't get the SetConsoleCursorPosition () function to work, I made a dll project and then I allocated the console with its main functions (cout and cin), but I don't know how to make that function work as well , in the sense that I do not go to the line that I have set, as the code ignored that instruction
...ANSWER
Answered 2021-Apr-29 at 18:47Per SetConsoleCursorPosition, the first argument must be "a handle to the console screen buffer". Per GetStdHandle, the handle to the active console screen buffer is returned by STD_OUTPUT_HANDLE, not STD_INPUT_HANDLE which is the handle to the console input buffer.
Using the correct handle will get SetConsoleCursorPosition to work as expected.
QUESTION
I have a slideshow of divs that automatically cycles through but how do i make it so that when i click on a target link, it leads me there and stops the cycling of the slideshow. Moreover, after a few cycles, the slides start to clog up and aggregate on top of one another, can someone please help tp rectify this error thanks.
This is my current code:
...ANSWER
Answered 2021-Apr-29 at 13:40If you set your interval to a variable you can point an event-listener to the parent div and on click you can reset the timer.
here is a solutuion:
QUESTION
We are running an API server where users submit jobs for calculation, which take between 1 second and 1 hour. They then make requests to check the status and get their results, which could be (much) later, or even never.
Currently jobs are added to a pub/sub queue, and processed by various worker processes. These workers then send pub/sub messages back to a listener, which stores the status/results in a postgres database.
I am looking into using Celery to simplify things and allow for easier scaling.
Submitting jobs and getting results isn't a problem in Celery, using celery_app.send_task. However, I am not sure how to best ensure the results are stored when, particularly for long-running or possibly abandoned jobs.
Some solutions I considered include:
Give all workers access to the database and let them handle updates. The main limitation to this seems to be the db connection pool limit, as worker processes can scale to 50 replicas in some cases.
Listen to celery events in a separate pod, and write changes based on this to the jobs db. Only 1 connection needed, but as far as I understand, this would miss out on events while this pod is redeploying.
Only check job results when the user asks for them. It seems this could lead to lost results when the user takes too long, or slowly clog the results cache.
As in (3), but periodically check on all jobs not marked completed in the db. A tad complicated, but doable?
Is there a standard pattern for this, or am I trying to do something unusual with Celery? Any advice on how to tackle this is appreciated.
...ANSWER
Answered 2021-Apr-29 at 09:24In the past I solved similar problem by modifying tasks to not only return result of the computation, but also store it into a cache server (Redis) right before it returns. I had a task that periodically (every 5min) collects these results and writes data (in bulk, so quite effective) to a relational database. It was quite effective until we started filling the cache with hundreds of thousands of results, so we implemented a tiny service that does this instead of task that runs periodically.
QUESTION
I'm new to python and prometheus. I'm currently testing a script to scrape metrics and send to a prom file.
The code is:
...ANSWER
Answered 2021-Apr-15 at 10:27From Prometheus side, metrics can be distinguished by their label and saved separately, although the more you get the worse scrape performance you will have if that matters for you.
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