MultiChannel | Gradle multi-channel packaging

I'm running Hyperledger Fabric network in Azure Kubernetes Cluster. I'm using single Azure Files volume (1000 GB) as my persistent volume.

However, my Orderer POD keeps restarting over and over again.

Orderer POD is logging following error:

I'm starting to work on text data. I have a long charachter variable or vector and would like to check either 5 lines or 50 words in my console. How can I limit the output that R show when I inspect a character? Is there a useful R function or setting in RStudio to limit console output?

I have two containers App and Webserver. Webserver is plain nginx:alpine image and App is expressjs app running on port 3030 under ubuntu:focal. I heard that this is a common practise to use separate containers for application and server. So I added proxy_pass http://app:3030/; to nginx config. Something went wrong and I digged into this a bit. To exclude incorrect nginx setup I checked raw curl requests from webserver to app container with no luck. Here is my docker-compose:

Formula

Hi, I am trying to implement total variation function for tensor or in more accurate, multichannel images. I found that for above Total Variation (in picture), there is source code like this:

I'm currently working on a function that will detect if the row is a duplicate based on multiple conditions (square meters, images and price). It works perfectly fine, till it finds the duplicate, removes the row from DataFrame and then my for loop is disturbed. This produces IndexError: single positional indexer is out-of-bounds.

Good day!

Please, help me understand how the Delay block works in AnyLogic. Suppose we deal with a multichannel transmission network. The model has 2 sources. Suppose these sources generate packets every 1 sec. Packets from different sources have different priorities and need different quantities of resources to be served (it is set up with Priority and Resource_quantity parameters respectively). The Priority_queue in the model is priority-based. The proposed model put the packets into the channels in accordance with Resource availability in the channel. Firstly, it tries to put the packet to the first channel. If there are no available resources it puts the packet into the second channel. If there are no resources in both channels it waits (it is realized with Hold block).

I noticed that if I set delays in blocks delay1 and delay2 with static parameters (for ex. 2 sec) the model works ok. But then I try to calculate it before these blocks the model doesn't take into consideration it at all. And in this case, the model works without any delays. What did I do wrong here?

I will appreciate any help.

The delay is calculated in Exit block and is written into the variable delay of the agent. I tried to add traceln(agent.delay) as @Jaco-Ben suggested right after calculation of the delay and it showed zero. In this case it doesn't also seize resources :(

I'm trying to prepare some image data for my neural to classify. As part of the image preprocessing step, I'm applying the HOG filter in my dataset class as such:

I'm currently trying to write a script to display spectrograms of (multichannel) audio in Bokeh. Since I am doing some processing on the audio, I can't easily save them as files on the computer, so I'm trying to remain in Python.

The idea is to create a plot where each column corresponds to an audio sample, and each row corresponds to a channel.

Now I want to be able to listen to the corresponding audio when clicking on a subplot. I've managed to do the non-interactive part of displaying the spectrograms, written a callback to play audio, and applied it to each callback.

Here is a minimal working example of the code:

I have a code which gives me binary images using Otsu thresholding. I am making a dataset for a U-Net, and I want to try different algorithms (global as well as local) for the same, so that I can save the "best" image. Below is the code for my image binarization.