synchrony | Distributed job management/scheduling engine in Rust | Job Scheduling library

I'm migrating Confluence from a VM to an instance of Confluence Server 7.11.1 using the official Atlassian docker image in Kubernetes. I successfully got the application to come up, and was able to get through the set-up screens to start an empty Confluence.

To customize my instance I want to copy over my old server's confluence home directory to the default confluence home location and also change the database connection URL. According to documentation here, I need to stop confluence from running while doing this. I tried to run the stop-confluence.sh script from the confluence user, but I can't stop the container because there is no catalina.pid file in the docker version of k8s.

I tried the alternative of killing the java process that runs Confluence, but the entire container shuts down when I do this.

How do I stop Confluence in Kubernetes so that I can copy files and modify configuration in the container? Is the docker image version of the Confluence application not meant to be stopped and everything needs to be provided as env variables? Notes on the official atlassian docker image configuration is here.

Error message:

I'm trying to calculate the relative phase between a time series of two angles. Using below, the angles are measured by the rotation derived from the xy points associated to Label A and Label B. The angles are moving in a similar direction for the first 3 time points and then deviate for the remaining 3 time points.

My understanding was that the relative phase calculation using a Hilbert transform signified that values closer to 0 ° referred to a pattern of coordination or in-phase. Conversely, values closer to 180° referred to asynchronous patterns or anti-phase. Yet when I export the results below I'm not seeing this?

I have a test setup with two machines:

nginx reverse proxy: (running on physical machine 1)

• /confluence --> http://:30890
• /synchrony --> http://:30891

kubernetes: (running on physical machine 2)

• my understanding of kubernetes networking: software defined network, IPs are allocated dynamically, machines/pods and services are identified by tags / name

• service: confluence type: NodePort confluence-pod:8090 --> node:30890 confluence-pod:8091 --> node:30891

• pod: confluence (actually a deployment generating a pod) port: 8090 synchrony: 8091

I pass all the tests mentioned here in Confluence docs. However the confluence editor is not able to connect.

Should I

a) configure confluence to run on 30890/30891 already in the pod?
b) change kubernetes default port range? https://stackoverflow.com/a/54763328/3008308
c) know of a confluence config?

I'm aiming to return a single continuous measurement describing the synchrony between a time series of xy points. Using below, there are two separate points (A,B). They are moving in a similar direction for the first 3 time steps and in diverging directions for the last 3 time steps.

In essence, they are following the same direction for time steps 1-3 and then diverge to move in completely separate directions in time steps 4-6

There are a few options when measuring the synchrony between a single time series in isolation (either the x-coordinate or y-coordinate). But I can't find a function or algorithm that accounts for both axes (both x and y).

I can use pearsonr or a crosscorr function but it would have to measure the x or y-axis independently. Not the xy coordinate together.

Could I use the angle of movement? I'm hoping the intended output can be appended to the data frame at each point in time that represents the synchronisation of moving points.

Note: I'm hoping to output will be continuous and numerical (float makes most sense). I have inserted two distinct options below. However points can be moving in a similar direction (but not identical) or in completely divergent paths. The output should handle this.

I have a very large dataframe with measurements taken from different subjects over continuous time. I need to filter out those measurements that increase in synchrony over all subjects in a certain time window.

Here's some mock data; v1and v2 are the measurements taken for two subjects:

I would like to assess the synchrony between two time series (i.e. do they have the same evolution over time?). I am using Python. Here are examples of the time series that I have:

The first plot shows time series that have quite similar evolution (synchrony), whereas the second plot shows time series that visually do not have similar evolution.

I have considered Dynamic Time Warping to assess the similarity between the time series, but the problem is that we obtain a distance between the time series, which is difficult to interpret. What I would like is rather a standardized number (e.g. between -1 and 1 like a correlation) that would show if the series are synchronous (i.e. they increase or decrease at the same time). This way I could compare the evolution of several time series more easily even if their global distance (i.e. average value) is different as shown on the first vs. second plot. Is it possible to have such a number with Dynamic Time Warping? Or would another method be more appropriate?

So I am working with Vue, Node and typescript. I am fetching data that all my other functions are needing, so getDataForFunction123() needs an await and its fine.

Then I have 3 functions that is fetching different stuff, not depending on each other. But all answers is used by the last function updateAfterFunction123IsDone(). But when I have it like now, we need to wait synchrony for function 1, 2 and 3. It takes a lot of time. I want to make function 1, 2 and 3 to just do there stuff at the same time but also want to know when all 3 is done and then call updateAfterFunction123IsDone().

Here is the code:

Hello beautiful comunity!
I'm trying to write multiple fields in a table but I'm having synchrony problems, having the next output:

I am developing an Adobe CEP panel for Adobe software, and when this "fetch" files from a computer (synchrony), it shows them as list of divs.

The idea is to create a List View that represents the files as a header (h2) in every file of the computer. However, when there are 400 files and more, it becomes very lagging, and after maybe 30 seconds, the whole divs are loaded.

The CEP panel is an HTML file that runs on chromium browser.

Is there any way to make it faster? maybe the idea of creating element in a loop over the files is not efficient?

Just to enlighten those who doesn't familiar with Adobe CEP, the cool idea of the CEP that it actually runs on a different thread of the Adobe software, thus this does not stuck the user from continuing using the software tools...

Any ideas will be useful for me.

here is my code of creating the elements: