minimalist | Observable Property and Signal for building data | Reactive Programming library
kandi X-RAY | minimalist Summary
kandi X-RAY | minimalist Summary
Building data-driven UI without Rx. I'm a big fan of reactive frameworks. I've used RxSwift, ReactiveSwift, Combine, and I suffer every time I join the project where the team cannot adopt one for some reason.
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QUESTION
I have a large NodeJS application that have been working just fine after beeing processed by Webpack-5. Now I added http-auth and then the application crashes.
On https://github.com/MorganLindqvist/webpack5-http-auth-failure you can find a very minimalistic version of the app that crashes in the same when executed after Webpack5.
Here is an example of when it works (without webpack 5) and then when it crashes (with webpack 5).
...ANSWER
Answered 2021-Apr-05 at 23:14As it so happened, I ran into this issue today and found your question in an attempt to find a solution.
After trying a few different things, I discovered that using version 4.1.2 of http-auth (instead of the current 4.1.4, which is what your package.json has set in your GitHub repo) worked for me. So it seems to be a bug with the newer http-auth versions. I ran your code in your github repo but with version 4.1.2 of http-auth and it ran successfully.
QUESTION
I've been trying to translate some PyTorch code to TensorFlow 2, but the TF2 code is around 10 times slower. I've tried looking at where this might come from, and as far as I can tell it comes from the tape.gradient
call (performance was the same with keras' .fit function). I've tried to use different data loaders, ways of declaring the model, installations, etc... and the results have been consistent.
Any explanation / solution as to why this is happening would be much appreciated.
Here is a minimalist version of the TF2 code:
...ANSWER
Answered 2021-Jun-06 at 11:34You're using tf.GradientTape
correctly, but both your models and data are different in the snippets you provided.
Here is the TF code that uses the same data and model architecture as your Pytorch model.
QUESTION
I'd like to use envsubst with nginx docker alpine. Documentation:
Using environment variables in nginx configuration (new in 1.19)
Out-of-the-box, nginx doesn't support environment variables inside most configuration blocks. But this image has a function, which will extract environment variables before nginx starts.
Here is an example using docker-compose.yml:
web: image: nginx volumes:
- ./templates:/etc/nginx/templates ports:
- "8080:80" environment:
- NGINX_HOST=foobar.com
- NGINX_PORT=80
By default, this function reads template files in /etc/nginx/templates/*.template and outputs the result of executing envsubst to /etc/nginx/conf.d.
I have a nginx container service of the form:
...ANSWER
Answered 2021-Jun-04 at 23:44Changing the command doesn't work because the /docker-entrypoint.sh
contains:
QUESTION
I want to draw a stack of almost transparent white rectangles that overlap each other.
Each rectangle has an opacity of 0.01
I have 100 rectangles overlaping, I expect the output result to be the sum of all the opacity. In other term, I expect the result to be white without any opacity.
But it's not the case.
- Why ?
- How to get the result I want ?
Here is a minimalist code to illustrate the problem
...ANSWER
Answered 2021-Jun-04 at 06:02To do alpha blending of two RGBA colors (assuming normal blending and composite modes), the general formula is
QUESTION
For an application I had to develop a simple telnet module. (Which I could do quickly with the help of minimalistic telnet) I did create a telnet server and a client and I used PuTTY to test the behavior of the server. PuTYY was configured for 'Telnet negotiation mode: active'.
In the server I did see the expected telnet negotiation sequence (and it was giving correct replies). The last action in the PuTTY negotiation was a strange one.
0xff 0xfe 0x32
or IAC DONT 0x32
The third byte, 0x32
, is the option and that is where the problem is (for me).
I did look up all Telnet options at IANA and according to them the options range 50-137 is unassigned (0x32
is 62).
What is behind PuTTY option 0x32
?
I have looked on the internet but can't find anything.
I have looked up the PuTTY documentation, same thing.
Putting up a request to the PuTTY development is severely discouraged due to capacity problems (not enough hands to type a sensible reply).
It is perfectly sensible not to use this unknown option but it still is nagging me.
What is option 0x3e
supposed to do?
ANSWER
Answered 2021-Jun-02 at 13:34Problem solved. There was an error in my server code causing PuTTY to generate a reply for a non existing option.
I hereby thank Simon Tatham for the suggestion he gave leading me to find the real problem.
QUESTION
I have the following minimalistic code that works perfectly fine: a continuous while loop keeps plotting my data and if I press the escape key the plotting stops. Now, if one closes the matplotlib-window a new appears because of the plt.pause
command, but now the key_event
is not attached anymore. Is there a way to keep the connection of new appearing windows and the key_event
?
Code:
...ANSWER
Answered 2021-May-27 at 14:50When you close window then it creates new figure
and you should use gcf()
(get current figure) to assign event
to new figure
QUESTION
The MDN page on colgroup indicates that col width is deprecated, however I have not found an alternative when colspan is involved, and you need to specify the width of a "colspanned" column.
Below is a rather minimalistic snippet to illustrate the issue, for a table with three columns and two rows. The middle column is never explicited with a "td" elements.
With a colgroup, it is possible to specify its width, and then everything is well. Without colgroup, the HTML rendering engine is unable to solve the equation, and column widths render incorrectly.
...ANSWER
Answered 2021-May-22 at 05:57The official solution is using :nth-child in CSS.
QUESTION
I'm trying to create a minimalistic command line gui with ncurses on Android. I cross compiled ncurses for ARM64 etc and everything seems to run. However; when starting my test 'hello world' ncurses program in adb shell, I get the following error:
...ANSWER
Answered 2021-May-17 at 20:55You need a terminal database to run curses applications. Apparently none is installed (though it's possible that there is a terminal database whose location doesn't correspond to the compiled-in defaults for TERMINFO
or TERMINFO_DIRS
).
With ncurses, you can configure and compile-in fallback entries (discussed in the INSTALL
source-file) which are used if the terminal description is not found in the terminal database:
In order to support operation of ncurses programs before the terminfo tree is accessible (that is, in single-user mode or at OS installation time) the ncurses library can be compiled to include an array of pre-fetched fallback entries.
NOTE: This must be done on a machine which has ncurses' infocmp and terminfo database installed (as well as ncurses' tic and infocmp programs). That is because the fallback sources are generated and compiled into the library before the build-tree's copy of infocmp is available.
These entries are checked by setupterm() only when the conventional fetches from the terminfo tree and the termcap fallback (if configured) have been tried and failed. Thus, the presence of a fallback will not shadow modifications to the on-disk entry for the same type, when that entry is accessible.
QUESTION
So I've been doing some tests regarding enconding errors that I've seen around ñ charcater using CURL, Qt and sever side PHP. I've finally got a super minimalistic example where the error is in the Qt side ONLY. Maybe some one can help me out.
The Qt Code is as follows:
...ANSWER
Answered 2021-May-16 at 17:14The "ñ" is unicode text so using toUtf8()
won't do the trick. You have to use a QTextDecoder
QUESTION
I have a simple tf.keras model:
...ANSWER
Answered 2021-May-16 at 16:10This was a bug in SciKeras that was fixed with the v0.3.1 release. Updating to the latest version should fix the issue.
As for the bug itself, it was due to how we were indexing numpy arrays, see this diff for details.
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