photon | ⚡ Rust/WebAssembly image processing library | Binary Executable Format library

I've installed pptpd on ubuntu 18.04 and I can connect to vpn with android and windows client but I have no internet access while the server has full internet access. In pptpd log I noticed the error "Cannot determine ethernet address for proxy ARP".

I've changed the dns in /etc/ppp/options.pptpd as below:

I have imported an existing maven project into eclipse. When I try to build the maven project I get error 'clientBuilder.sslSocketFactory(SSLSocketFactory) not supported on JDK 9+' message. I have JDK 8 and Maven version 'Apache Maven 3.0.5' installed. Eclipse Version is Photon Milestone 3 (4.8.0M3). My POM file looks like below.

Can someone please help me resolve this?

I have 2 dynamic SSG pages under /blog/[slug], inside of these pages I am rendering a component with next/link, I can click those links to go to another slug, the problem is that I want to run some code that depends on document.title, I tried a combination of possible solutions:

Photon PUN2 has a bunch of API's like 'JoinRoom', 'JoinLobby' etc. And others that are prefixed with 'Op' like 'OpJoinRoom' and 'OpJoinLobby'. I do not see in the documentation what the difference is. eg here: https://doc-api.photonengine.com/en/pun/v2/class_photon_1_1_realtime_1_1_load_balancing_client.html#a0b09d2933f50f7f956f7f3a2b56664c1 I see it used in examples, with no explanation. eg here: https://doc.photonengine.com/en/server/current/reference/calling-operations

What is the difference between these sets of functions?

I was trying to build my Unity game for android and I face this issue, please help with what to do. I am a beginner in unity and do not have much experience.

Here is the error messages:

I have a need to poll for a close-to-real time reading from a serial device (using ESP32) from a web application. I am currently doing this using Particle Photons and the Particle Cloud API, and am wondering if there is a way to achieve similar using Google Cloud IoT.

From reading the documentation, it seems a common way to do this is via PubSub and then to publish to BigQuery via DataFlow or Firebase via Cloud Functions. However, to reduce pricing overhead, I am hoping to only trigger a data exchange(s) when the device receives an external request.

It looks like there is a way to send commands to the IoT device - am I on the right track with this? I can't seem to find the documentation here, but after receiving a command it would use PubSub to publish to a Topic, which can trigger a Cloud Function to update Firebase?

Lastly, it also looks like there is a way to do a GET request to the device's DeviceState, but this can only be updated once per second (which might also work, though it sounds like they generally discourage using state for this purpose).

If there is another low-latency, low-cost way to allow a client to poll for a real-time value from the IoT device that I've missed, please let me know. Thank you!

I have a problem with a json code structure that I can't decode to swift. The tree in text looks like this:

I have small application written in golang and i have mentioned a path to create a log file in order to track the application flow. but as soon as app started the log files created on both of my ubuntu fedora version, but log does not created on photon OS vm ware , and there is no error also showing.

this is my code and it working fine , put just for reference.

I would like to simulate something on the subject of photon-photon-interaction. In particular, there is Halpern scattering. Here is the German Wikipedia entry on it Halpern-Streuung. And there the differential cross section has an angular dependence of (3+(cos(theta))^2)^2.

I would like to have a generator of random numbers between 0 and 2*Pi, which corresponds to the density function ((3+(cos(theta))^2)^2)*(1/(99*Pi/4)). So the values around 0, Pi and 2*Pi should occur a little more often than the values around Pi/2 and 3.

I have already found that there is a function on how to randomly output discrete values with user-defined probability values numpy.random.choice(numpy.arange(1, 7), p=[0.1, 0.05, 0.05, 0.2, 0.4, 0.2]). I could work with that in an emergency, should there be nothing else. But actually I already want a continuous probability distribution here.

I know that even if there is such a Python command where you can enter a mathematical distribution function, it basically only produces discrete distributions of values, since no irrational numbers with 1s and 0s can be represented. But still, such a command would be more elegant with a continuous function.