harness | Machine Learning/AI Server | Machine Learning library

I am sending messages from an ATMEGA644 to a Linux machine, and the CRC32 routine gives a different result on the two machines. The CRC algorithm is from MIT.

The ATMEGA version is compiled with avr-gcc and the Linux version with cc. The Linux compilation produces two warnings about the size of the printf parameters in the test harness, but even if you eliminate these warnings, the result is the same.

Here is the crc32 routine, together with a main() test harness that shows the problem:

Just trying to install a CPAN module, don't seem to be missing any prereqs, and can't seem to find anything that points to what I need to do to fix this. Can someone make sense of what the issue might be? I'd rather not force install unless I'm absolutely sure its maybe just an issue with the tests. I've looked at previous questions and the issue is almost always a missing prereq module but doesn't seem to be the case here.

I created a state machine saga that will receive multiple messages and only after a given time period elapses, I want it to continue its work. I figured the only way to do it with mass transit is to go with the scheduling capabilities of the framework.

The saga code (shortened for brevity) is given below:

This is my test (maven-plugin-testing-harness 3.3.0, junit 5.6.2):

I'm trying to figure out how to use the request function of the http and https built-in modules in Node JS (I am aware of third-party wrappers but I'm trying to figure it out myself). I'm running into an issue where the Buffer data from the Response is partially cut off at the end. The issue does not occur when testing with cURL.

Here is the code I've been using:

I have a Puppeteer CICD project where I use the NodeEnvironment to proceed to our test harness website, pull down the current list of custom xml tests from the dropdown element our QA team uses and then dynamically constructs an array of 1200+ URLs from this. Then I was using this.global to use as a reference array where I would then use clustering to run these in parallel.

I'm having problems wrapping my head around the proper way to get this list populated and then run the tests in parallel. The parameterized test option seems to be close to what I want, but I need a way to populate the dynamic array of urls before I jump to the for loop and it seems that the array is not populated yet and it is trying to run through the for loop and execute tests, even when using a promise.

I know I could probably hack something to get things working, but I would much rather know the proper expected way of doing this that allows me to take advantage of the parallelization playwright provides.

I am currently looking into worker fixtures or sharding to see if it provides me a way of achieving this, but the problem is if each worker goes to the website to populate the array then they will all have the 1200 test cases, which doesn't help either. I'm open to any ideas here, but an important thing to state is that I want each url to have its own test as each test has a series of get requests which I need to capture and perform comparisons against the query params.

A drastically minimized example of what I currently have is below:

Please consider the following function:

I am doing a personal React.js project. I am having issues with useParams. I cannot display map items after clicking on the navbar. It goes to the page, but not able to show on screen. It shows an empty object on screen. This is the ItemContainer where I defined useParams and I think has an error on the code:

I tried to run a simple apache beam java pipeline on Cloud Dataflow but kept running into the following error message. The job graph is displayed on the cloud console, but its not progressing and the error show up in the diagnostics tab