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Is there a way to call a REST api based for each cypress test result?

We have a zephyr test definition system, and we must use it's API (https://support.smartbear.com/zephyr-scale-server/api-docs/v1/ ) to change the status of each testcase our testers defined, as part of the automation processes we have in our company.

In my research the only solution we found was to use a Reporter (https://docs.cypress.io/guides/tooling/reporters) and then parse the results with a small script which generates the said REST calls for each test result.

I was wondering: is there any more elegant solution to call the zephyr app directly, via Cypress maybe?

I'd like to use the device tree to store some system level constants.

Is it possible to store and retrieve arbitrary values from the device tree?

Attempting to load these values fails to compile as build/zephyr/include/generated/devicetree_unfixed.h lacks the values for 'custom-num' or 'another-value'.

I have a project that consists of nodes in a mesh, that will communicate between each other wirelessly and will identify each other with a use of addresses.

Nodes will be equivalent in their responsibilities so the source code for each them will be identical, except for address which I would like to be specific and unique for each.

This project will be a kind of demo, or technology demonstration so for simplicity I do not want to introduce some address negotiations or anything complex like that.

I was researching and found some suggestions to use target_compile_definitions in CMake but I am not really sure how to apply it to generic Zephyr CMakeLists.txt:

I tried to cluster my dataset using K-mean, but there is a categorical data in column 9; so when I ran k-mean it had an error like this:

I ran multiple imputation to impute missing data for 2 variables of a data frame, then I got a new data frame (with 2 columns for 2 imputed variables).

Now, I want to replace the 2 columns in the original data frame with the two newly imputed columns from my new dataframe. What should I do?

Original data frame new data frame for imputed variables

This is the code I used. Only 2 columns in this data frame are missing data, so I only imputed those two. Is that ok? Can you please suggest me a better way?

Below code is quoted from here line 453:

I'd like to define some constants in a devicetree overlay. For example: To give gpio pin 9 the name led-blue, I've added the following to the devicetree overlay:

I want to simulate the firmware (C++) of an embedded device on a Windows machine (C++). The firmware runs on a microcontroller (nRF5340) and runs Zephyr as an operating systes. Within the real firmware there are multiple tasks.

The challenge is now: I want to be able to create multiple instances of one virtual device, but each device should only run in one single thread.

Semaphores are used for multi-threading (in the firmware), which are blocked or released. Is there a way I can use semaphores in a single thread and implement a kind of context switch?

So that, for example, a function is called that runs through to a semaphore. When the semaphore is reached, a new function can be called which releases the previous semaphore so that the original function can continue (but all in one single thread).

I want to do LDA (linear discriminant analysis) with the Auto dataset of the ISLR package. To start off, I am trying to take the cars with year = 75 and use it as a "test set", where cars of all other years will be used as a "training set". However, it seems that I've made a mess of things. For instance, in my code below, sequentially using the replace function for the values of mpg.year75 just results in everything being set to high: