azimir

Washington State Department of Transportation is starting to realize that we cannot afford to maintain the sheer volume of roads we build. The maintenance debt that we have built up is bankrupting our governments and it's only going to get worse year by year.

Civilization itself cannot afford to have so many car oriented roads long term.

https://www.thecentersquare.com/washington/article_e69a80be-75f1-11ef-8b50-3babe18f06e9.html

The more car trips taken, regardless of how safe you try to make things, or how much you try to educate drivers, or how many 'be careful' street signs you put up, will always increase the chances of a crash.

This is kind of an open question for me: does any code coverage tool work in Java with Junit5? I'll admit that I'm no Java configuration specialist, so I find the complexity of XML-based configuration systems to be quite opaque. I've got a few simple Maven-based build projects on hand and I wanted to add code coverage to the test harnesses. Unfortunately, I have never managed to get one stood up and running. I do this all the time with Python pytest/coverage tools, but it's been elusive for Java projects.

Could someone here please point me to a working example of any Java project using Maven / Junit5 / [any code coverage system]?

My latest attempt to get a working example came from this howto: https://howtodoinjava.com/junit5/jacoco-test-coverage/

But, it once again gave me the: [INFO]

jacoco-maven-plugin:0.8.7:report (default-report) @ JUnit5Examples

[INFO] Skipping JaCoCo execution due to missing execution data file.

As near as I can tell, JaCoCo just never runs. Ever. It's been very frustrating. I've read tutorials, followed suggestions on configuring surefire in various ways. I've pulled misc repo that claim to have it working. I've tried different computers with different OSes, versions of java, different maven installs, etc. There's something somewhere that I'm missing and after months of off and on attempts to get this working I'm at my wit's end.

Please help.

The measure to make vehicles weighing 1.6 tons and over pay 3x the parking rates for the first two hours has passed in Paris.

Now, let's get that in place for London and many other other places to help slow, and even reverse, this trend towards massive personal vehicles.

This video outlines some of the relationships between US commuting culture and the perspectives that it's engendered about the role of the city. The, when compared and contrasted to other nations' approach to city design and perspectives shows that it's possible to have a city core that's more than just a workplace.

My city is currently clinging to a small area of interesting downtown core. Everything else has either been bulldozed for parking lots, turned into office buildings with no store fronts, or plowed into wider roads. Every time I show the maps of the city with how car-focused we've made downtown to a city council member they recoil at the desolation, but it's so hard to get change happening.

We need fewer roads, cars, and non-human spaces in our city core areas. Making wider walking paths, biking roads, mass transit (not just busses!), and planting trees to make spaces more attractive will all continue to invite people to come downtown, not just someone desperate enough to drive there, park, hit one store and drive away.

The mayor of Hoboken, NJ came in with a vision of reducing traffic deaths to pedestrians and cyclists. He instituted several strategies of traffic calming, increasing pedestrian visibility, reducing city wide street speeds to 20 mph with schools and parks down to 15 mph. Within a few years of road improvements and redesigns their pedestrian traffic deaths to zero for several years.

The article does note that half of the streets have bike lanes, they've put buffers between pedestrians and cars, and continue to redesign intersections with a focus on safety instead of just focusing on car speed/throughput.

What I'm looking for is some kind of desktop tool that uses the OpenAI GPT web endpoint. I'd like something where I'm able to upload one or more documents (text files) and then include them as part of the conversation/query.

I have access to the GPT-4 API and I've been writing Python3 code against it for some various applications. I can see how I'd write a tool that takes in one or more documents to include in the total prompt history, but I'm hoping to not have to write it myself, mostly due to time constraints.

Is there some kind of application that has a similar feature set to this that I should look at? Or, is there a wiki/site that lists off the current tools available that I could look over?

I'm enjoying the wefwef feel, but I have a question about copy/paste with comment text: is it even possible?

When I click on a given comment it collapses. When I click and drag it swipes. Is it possible in the web browser (desktop) to highlight a comment's text at all? It's not rare that I want to copy/paste some text, especially Lemmy links lately, to search/work with them. I'll also want to copy/paste quotes or other material on occasion.

So: what's the trick or instructions, if they exist, to be able to copy/paste text in wefwef?

I received an email from a textbook salesman. This isn't a rarity, but today this line lept out at me:

"Ideal for students learning concepts and reasonably priced at $144.95,"

No. Just no. $144.95 is not reasonably priced. This is the first of what is likely a lot of emails that I get to respond with the line in the sand that I've drawn:

"Reasonably priced" at $144.95?

No thank you. I won't subject my students to materials, including books, equipment, and any online tool licensing, that cost more than $60 per course. Until your offerings are in this range, please do not contact me again.

Even my $60 per course number is high as far as I'm concerned.

Given that it's June, my suggested book to read is "Monstrous Regiment" by Terry Pratchett. Yet another wonderful work by one of the best authors in the history of humanity.