retroactive | time travel : Implementing retroactive data | Reinforcement Learning library

Using Apache ActiveMQ Artemis, is it preferred to have one topic with String properties used to differentiate them or many topics? e.g., should publishers do this:

I want to transform my data from long to wide after some joins, resulting in a few NAs in the data provided. Unfortunately, these NAs are also present in the richt-hand side (RHS), which defines the newly added columns via the transformation.

Consider this example:

I am creating a script to parse a CSV file, where I store the content of each indexed field in the CSV as a NoteProperty in a PSCustomObject.

As I parse the file line by line, I add the PSCustomObject to a list type. When I output my list, I want to be able to do something like:

I have a cluster of Artemis in Kubernetes with 3 group of master/slave:

Summary:
I want to make NGINX (not NGINX Plus) re-resolve the IP address from the DNS name by using a variable in proxy_pass (as suggested in this official Nginx article in the section "Setting the Domain Name in a Variable"). But when I do that it won't set/forward the correct Content-Type header, but always use text/html, for .css, .js etc. files.

My setup:
I have a frontend and a backend service running in separate Docker containers (to be deployed to OpenShift in production). There's also a third container that runs nginx:latest (v1.19.9 as of today) and acts as a reverse proxy, forwarding calls made to /my-app to the frontend and /my-app/api to the backend container. The NGINX reverse proxy has set them up as upstream servers using their DNS names. All three containers run within the same custom Docker network, so resolving in itself works fine - but only, when NGINX is (re-)started.

The problem:
When the frontend or backend container gets restarted it may get a new IP address. Since NGINX caches IP addresses I'm getting a 502 when I make calls to them. I want NGINX to re-resolve the IP address more frequently, like NGINX Plus does. This is how the problem with the Content-Type came up, when I tried to have NGINX re-resolve DNS names.

The configuration:
Here's my NGINX configuration (simplified to the relevant stuff only):

Is it possible to write to a pdf file retroactively using pytesseract.image_to_data() output?

For my OCR pipeline, I needed granular access to my pdf's ocr'ed data. I requested that using this method:

I'm creating a tile-based game in Unity (C#) with a hexagonal grid. I am making hills and mountains in my game, and to optimize, I only activate the top layer of tiles and leave the rest of them inactive. I render each tile with a noise-based height map (please note the colors on the grid itself such as brown, green, and grey do not correspond to height).

However, I encounter issues when the hills become high and a vertical gap between one tile and the next reveals a hole in the map due to height disparities.

To fix this, I am making a retroactive function which cycles through each pixel on the noise map and if it detects a disparity between one pixel and another which borders it, then it will activate the tile below the higher tile in the disparity. The blue tiles below represent the tiles that it detected as being in a disparity, and the red ones are the tiles activated as a result of their higher counterparts being detected as such.

Most the time, however, the disparities are not recognized in the right positions. You can see in the image above that the brown tile which should be considered as having a disparity (since it's leaving a gap) has a gaping hole and no red tile beneath it, while others which have no gaps are considered as having disparities and are thus blue. Here is a representation of how there's little correlation between the height map and the disparities detected:

You can see above that the white on the height map, representing high areas, does not correspond with the blue on the grid, which should correspond with disparities (and thus mainly correspond with where the white and the black converge on the noise map, outlining the location between high and low areas).

Here is my code to detect disparities:

I have an array which represents (x, y, z) points

In Postgresql (version 9.2), I need to update a table with values from another table. The UPDATE statement below works and completes quickly on a small data set (1K records). With large amount of records (600K+), the statement has not completed after more than two hours. I don't know if it is taking a long time or is simply hung.