resemble | R package which implements functions | Machine Learning library

I would like to get an array of all captured group matches in chronological order (the order they appear in in the input string).

So for examples with the following regex:

My XML file resembles to something like this:

So I have sampled a set of lakes at x timepoints throughout the year. I also have deployed loggers etc. in the water and I want to use daily averages from these loggers, at the timepoint of the visit to x days/hours before. Sometimes I also just grab the a sample for the timepoint of the visit.

This is my solution, it works just fine but since I experiment alot with some model assumptions and perform sensitivity analyses it operates unsatisfactory slow.

I seem to have solved most of my R problems with loops and I often encounter more efficient scripts, it would be very interesting to see some more effective alternatives to my code.

Below code just generates some dummy data..

I have two tables with data, let's call them table T and table B. Relevant data in T and B have a many-to-one relationship with each other, like this:

etc. (This is just a rough demonstration and doesn't resemble the actual data I'm using).

I've run a count(*) query and found that the most number of times items from table T appear in table B is 8. What I want is to transpose the above table, which has thousands and thousands of entries in T and several hundred possible entries for B's corresponding value, into a 9-column table, like this:

etc.

The only search info I can find requires either manually joining B each time and excluding previous values of B.code (as I'm currently doing it), or using a PIVOT table (dynamic SQL or otherwise), which would necessarily have one column for each and every possible value of B.code (which, as mentioned, is several hundred values), neither of which are scalable options.

For reference, my code right now looks something like this:

I have a table my_table that resembles:

Project Alice generates Java source code, stores it in sources.jar, then uploads it to a Maven repository. Project Bob pulls sources.jar down and needs to use it when compiling. Bob does not know that Alice exists, only where to find sources.jar.

Versions: JDK 11, Gradle 7.3.1, IntelliJ IDEA 2021.3.1

Making gradle (and IntelliJ's IDEA) build using source files embedded in a JAR file. To be clear, the JAR file contents resemble:

Similar questions have been asked, for example here and here but none of the other questions can be applied to my issue. Im trying to determine and count which observations are in each node in a decision tree. However, the tree structure is coming from a data frame of trees that Im creating myself from the BART package. Im extracting tree information from BART package and turning it into a data frame that resembles the one shown below (i.e., df). But I need to work with the data frame structure provided. Aside: I believe the method im using, in relation to how the trees are drawn/ordered in my data frame, is called 'depth first'.

For example, my data frame of trees looks like this:

We want to use Paketo.io / CloudNativeBuildpacks (CNB) GitLab CI in the most simple way. Our GitLab setup uses an AWS EKS cluster with unprivileged GitLab CI Runners leveraging the Kubernetes executor. We also don't want to introduce security risks by using Docker in our builds. So we don't have our host’s /var/run/docker.sock exposed nor want to use docker:dind.

We found some guides on how to use Paketo with GitLab CI like this https://tanzu.vmware.com/developer/guides/gitlab-ci-cd-cnb/ . But as described beneath the headline Use Cloud Native Buildpacks with GitLab in GitLab Build Job WITHOUT Using the GitLab Build Template, the approach relies on Docker and pack CLI. We tried to resemble this in our .gitlab-ci.yml which looks like this:

I'm working on a visualization project in networkx and plotly. Is there a way to create a 3D graph that resembles how a human brain looks like in networkx and then to visualize it with plotly (so it will be interactive)?

The idea is to have the nodes on the outside (or only show the nodes if it's easier) and to color a set of them differently like the image above