Transcript #378: Python is on the edge

00:00 >> Hello and welcome to Python Bytes, where we deliver Python news and headlines directly to your earbuds.

00:06 This is episode 378, recorded April 9th, 2024.

00:12 I'm Michael Kennedy.

00:14 >> I'm Brian Aukin.

00:15 >> You can follow us over on Mastodon.

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01:18 We just want to be able to contact you and have a chat if you wish.

01:22 Well, Brian will be sending out something cool to everyone this week as usual.

01:26 Brian, do you have health news or something you got to share?

01:30 What's going on here, man?

01:31 >> Well, I've found a pacemaker.

01:35 >> Okay.

01:35 >> My ticker is doing good.

01:37 No problems with that.

01:39 But you can control your heart with Python.

01:43 >> Okay.

01:44 >> Actually, you can't control your heart yet.

01:46 Actually, I don't know if you can.

01:49 But I ran across a project from Brandon Rohr called Pacemaker.

01:55 What this does, it's not controlling your heart, it's controlling time per iteration loop.

02:02 I don't know if this has anything to do with UV or not, but one of the things that UV has brought us is

02:09 really fast installing of lots of packages if you have a lot.

02:12 Why not? This is a small package.

02:17 This is in Brandon's own words on the read me.

02:22 I think I saw this here.

02:24 It is essentially, it's a glorified snippet.

02:31 Instead of a snippet, he wrote a package, which I love this.

02:35 I'm taking a look at it.

02:37 It's a small package.

02:38 Good example though for how to do a package.

02:41 If you take a look at the pyproject.toml, it's pretty concise.

02:45 It's using setup tools, which is fine.

02:48 But it shows you how easy it is to put a package together, which is pretty fun.

02:53 Also with the code, I was taking a look at the code.

02:56 What this does is not terribly earth shattering, but it just sticks around.

03:04 You tell it that you want to, it's like a metronome thing.

03:07 You've got some code that you want to run, and here's an example.

03:12 You just say pacemaker beat, and it waits.

03:17 It's a busy wait or it does a sleep or something like that.

03:20 Yeah, sleep. But it sleeps and then comes back alive, does its thing, and then goes back.

03:26 You can have it be, like in this example, like does a beat for 100 times.

03:32 This is important in a lot of different types of code, a lot of monitoring code, a lot of other things.

03:37 Busy waits aren't necessarily always the greatest, but in a lot of cases, it works great.

03:43 The thing that I wanted to point out about this, there's a few things that I love about

03:46 this project or just wanted to point out.

03:48 Really great documentation even for a small project.

03:51 Also, I had forgot about time monotonic.

03:54 This is using time monotonic when it does the time comparisons.

04:00 There's a couple of times of timestamps, types of timestamps, and monotonic,

04:05 and then there's a monotonic nanoseconds.

04:07 If you really want to do really tight loops, you could modify it for that.

04:11 The thing that monotonic does is it makes sure that all time deltas are positive.

04:16 Even if something happens, like you change your system clock between timestamps,

04:25 it'll still do it correctly so that it is monotonically.

04:29 >> That's interesting.

04:31 >> Another thing could be, even you don't change it, but we all have our clocks set to auto.

04:37 >> Yeah.

04:37 >> Adjust, and it could come online and auto adjust or something.

04:40 >> Yeah. That would be weird if suddenly, especially with this project where one of the things it does,

04:48 and he warns about this, is, sleeps aren't exact science.

04:54 This isn't a real-time, especially on non-real-time operating systems, but I don't think Python is even a real-time thing.

05:01 It's an approximation for how long it's going to sleep, but it tries to correct it.

05:06 If you slept too long, it tries to do more events so that on average, you get the average amount of times you're running be correct.

05:16 It's a cool library, check it out.

05:19 A couple of things I wanted to point out about it.

05:22 One is the cool use of monotonic.

05:24 The other one is a good read-me documentation, even for a small thing.

05:28 But there's no tests.

05:31 Brandon, come on.

05:33 Anyway, actually, there's a couple of things around this.

05:37 I don't think that people should stop from putting a code online just because they don't have tests yet.

05:43 It might be that somebody could contribute and add tests.

05:46 It also might be that for you, if you're using this all the time, if Brandon uses this all the time,

05:52 the tests are covered by the calling code.

05:55 You're using this and you're covering it.

05:58 I guess I want to point out to everybody, for any library you're using, you probably should have tests that cover

06:05 the part of the library that you depend on, even if they do have tests.

06:09 This one doesn't, so buyer beware.

06:12 But even if they do, you probably should make sure that it is really working the way you think it's working.

06:17 >> Sometimes it's just hard to have meaningful tests.

06:21 A while ago, I released that Umami Python event library, for the analytics tracking.

06:27 All it does is serialize the messages that come to it from the Umami API.

06:34 I can test what my perception of the API is.

06:37 But the real danger is that that API changes in some way or another.

06:43 It's just 90 percent of the fragility is outside of, if you mock out all that stuff,

06:48 then well, you're just testing your view, which hopefully is already mostly encoded.

06:53 It's not completely useless, but there's certain things that are just tricky to get.

06:57 >> Right. Testing isn't necessarily always automated testing.

07:02 It could be that you're using it, the Umami API that you're using, it's you're using it so you'll know when it breaks.

07:10 Other things are like your use of it will break or the calling code.

07:17 I don't think that people should, especially with the internal stuff, maybe on PyPI, maybe we should have a little bit,

07:22 things eventually should have tests probably.

07:25 But for internal projects where you're sharing code, it's better to package and share code than to not share code.

07:32 If writing testers is what's stopping you from putting it in a central repository,

07:37 don't let that stop you.

07:38 It's better than just, I mean, we have snippets.

07:41 Like he said, it's a glorified snippet, so why not package it?

07:44 >> Yeah. Very nice. I like the monotonic.

07:46 That's news to me.

07:48 I hadn't paid attention to that before.

07:49 >> Yeah. It's cool. I want to try the nanosecond monotonic.

07:53 >> Other stuff that people might want to pay attention to, and this is not to drum up a bunch of fear and concern so much.

08:02 It's not huge news in that regard to people.

08:04 But it's more to just put out there what the PyPA, the Python Packaging Authority folks to deal with.

08:11 Kind of say a thanks.

08:13 The news comes to us from Bleeping Computer, which usually does pretty good news,

08:16 but this article is pretty vacuous of information.

08:20 But the title says a lot.

08:21 PyPI suspends new user registrations to block malware campaign.

08:27 There's some interesting things in here.

08:29 It basically says, look, when was this?

08:32 This is March 28th, a little bit, a couple of weeks ago.

08:35 PyPI temporarily suspended user registration in the creation of new projects to deal with ongoing malware campaign.

08:42 Then it proceeds to tell you what PyPI is basically.

08:46 Then it says, look, there were some problems.

08:49 People are uploading bad stuff, but it doesn't tell you, for example, what projects.

08:53 What did the malware do?

08:56 If you jump over to the status.python.org, actually that tells you about the status of Python infrastructure,

09:04 which is cool. It says same deal.

09:07 This is the official reporting.

09:09 Did it say how long the event went for?

09:12 No, just that it was a thing.

09:14 I guess if I did math, that would be 10 hours, about 10 hours, 30 minutes.

09:19 That's a ways. This is the real article you want to read.

09:23 It is over on Medium PyPI is under attack project creation and user registration.

09:27 It's been adhered to the details by Yehuda Gelb.

09:30 I hate to link to Medium.

09:32 I hate Medium. I think it's a crummy place.

09:35 I don't know, it just seems gross, but they have really good details.

09:38 Basically, this was a typo squatting attack.

09:42 What's interesting, it was a multi-stage attack, stealing all sorts of things,

09:47 crypto wallets, obviously.

09:49 But real sketchy is browser cookies.

09:53 You're logged into your bank for a session that's good for 20 minutes.

09:56 If they could grab that and log in as you, that might be less good or log into your e-mail and reset stuff and so on.

10:03 What happened is there was a bunch of packages in here somewhere.

10:08 There's the package list.

10:09 You can see these are all about capturing people who, one, misspelled things but also just didn't quite understand.

10:18 For example, one of the packages is requirements.txt, requirements.txt without the dot or requirements.

10:25 If you say pip install requirements, without the dash r or the dot txt, you're getting this.

10:32 There's a bunch of others, TensorFlow and Selenium.

10:36 They're all over the requirements business, so it's just everywhere.

10:40 The deal was basically each one of these had a malicious setup.py, which is why I think it's interesting to look at.

10:48 Inside the malicious setup.py, it encrypted using the cryptography.fairnet library,

10:55 which just listed as a dependency, I imagine.

10:58 It then decrypts some URL that it very lightly.

11:04 It's funny, it's like using little analytics.

11:06 It'll passes the query string of which one hacked me before you get going.

11:11 They download some thing that installs and runs and basically installs a backdoor ongoing thing.

11:17 So even if you pip uninstall this, there's this thing running that just monitors your system,

11:22 which is not ideal to be honest.

11:24 >> That's not what you want.

11:26 >> No, one does not want this.

11:28 Henry out in the audience says, "In addition to all the stuff I said, that actually blocked all uploads for a few hours and

11:35 couldn't upload build 1.2.1.

11:38 What a hassle. This is why we can't have nice things. Come on now." >> Yeah. I guess there's a lesson here to make sure that

11:46 you're careful when you pip install something because even if you catch it and you're like,

11:51 "Oh, that's not what I meant," you may have already done damage.

11:54 Isn't there a way, I don't remember off the top of my head, to say pip install but don't run,

11:58 only use wheels, don't allow anything to run?

12:00 >> I don't know.

12:01 >> I'm not sure. I feel like there was.

12:03 Probably some of the audience is going, "Yes, yes, of course.

12:06 How do you not know this?" But that doesn't mean this is not going to happen.

12:10 It just means you have to use the code as opposed to just the act of installing it or sneaking it into a requirements file somehow.

12:18 Yes, and I knew Henry would come through and say, "--only-binary." Indeed, that's it.

12:24 >> Well, they were on top of it.

12:27 The fact that this was completely dealt with within 12 hours is pretty awesome.

12:31 The fact that it has to happen, not so much.

12:33 >> Yeah.

12:34 >> Over to you, Brian.

12:36 >> I guess the world has changed a little bit with UV and other rustified things.

12:45 We have an updated blog post from Hennick, Python Project Local Virtual Env Management Redux.

13:00 He's just really talking about all of the tools that he uses around virtual environments.

13:06 I just enjoyed it because it matches my own use quite a bit.

13:11 Some caveats in here that says this is what works for me.

13:14 I'm not necessarily saying you have to use this, of course.

13:17 But it's a good list of how dealing with virtual environments.

13:24 The major thing that happened is UV, and it's changed a lot of how we deal with it,

13:29 but it makes things a lot faster.

13:31 Some of the things I thought I want to revisit in here, so it's pretty great.

13:37 He's using .venv in each project directory.

13:43 It's close to what I use.

13:44 I use the venv, I just don't use the dot.

13:48 >> I do as well, Brian.

13:50 I know the dot means it's not really important, put it to the side.

13:55 But I love to be able to open up a project in Finder or Explorer and look at it and go,

14:00 "All right, this one has a virtual environment.

14:02 This one doesn't, I need to make one." I don't want to have to keep like show hidden files,

14:07 hide hidden files over and over.

14:09 While I appreciate the dot, I'm 100 percent with you.

14:13 >> Yeah. Direnv, I think I want to revisit this.

14:18 I've tried it a while ago, but I haven't tried it lately.

14:21 Is a way to have an envrc file or .envrc file in your directory, and that gets run when you CD into it or something.

14:35 Anyway, I think this is cool stuff, but I don't use it.

14:39 Do you use this, Michael?

14:40 >> No. I love the idea of it, and in practice, I just haven't done it now.

14:46 >> There's some cool tricks in here that he's using that I want to get back to trying it again.

14:52 I guess thanks, Sanik, for bringing this up so I can take a look again.

14:56 Using Astral's UV over Rai, I never went to Rai, but it looks like he switched from Rai to UV.

15:04 Python installations, now switch to both, just always using python.org downloads

15:10 because they're now universal builds mostly, and it just works.

15:15 That's what I've been using also for installing Python.

15:18 Dead snakes for Linux, of course.

15:21 Then there's a mention of Python build standalone for various other projects that are needed.

15:27 That's neat. A discussion about unpinned versus pinned packages, and then also using a.python version default within a directory.

15:39 The tie-in back to Durenv is cool, is he's got some tricks in here.

15:46 If you drop in a.python version default, it tells you what version to use by default in a directory,

15:57 and then you check it in so that the development environment can be recreated easily,

16:00 and he's got some in VRC that's part of Durenv.

16:04 That is a little snippet that will activate it based on which Python you're using,

16:09 using UV, which is a neat little trick to use Durenv and Python versions and UV altogether.

16:18 I'll definitely have to try that.

16:20 That's a neat trick.

16:21 >> That's neat.

16:22 >> Using all of this as well helps with GitHub Actions.

16:27 He's describing how to do that as input to the setup Python GitHub Action,

16:34 which is, I didn't know you could do this.

16:36 You can say the Python version file and you can just give it that Python version default so

16:42 the GitHub Actions uses the right default version.

16:44 This is cool trick. He's got some tricks on how to use it with the fish shell.

16:51 I don't use fish, but for those fish users, that'd be great.

16:55 The other part that I really enjoyed seeing is because of all of this, in which version and stuff,

17:03 you can use, he's using the requires Python and PyProjectToml, which I'm using for everything now.

17:10 But he has a way, a little sed snippet to parse that out of the PyProject.toml and pass it into using the GitHub Actions,

17:22 the animal file to pass it to a Docker build.

17:25 But it's grabbing this version of Python so you could use it for other things within your GitHub Action or something else,

17:37 or other tool if you needed to pass what Python version to use.

17:41 That's some pretty clever things in here, that I, something old, something new, some neat tricks.

17:47 >> Yeah, very interesting.

17:49 A lot of stuff to explore.

17:51 Interesting comments in the audience about liking and disliking, all the magic, the auto magic.

17:56 >> Well, and it's also another example of, I like these posts, even for different people just to see,

18:02 this is how I work, this is the workflow I use.

18:05 Not necessarily just focusing on one tool, but I use all these things together and this is how they work together.

18:11 It's fun to read.

18:12 >> Yeah, absolutely.

18:13 Even if you don't adopt it, it's cool to just see the tools and the things you can do.

18:17 >> Yeah.

18:18 >> All right. On to the next one.

18:20 This one is super exciting.

18:23 We need to talk for just a second about Cloudflare and Edge Workers.

18:30 Now, this is just a Cloudflare thing, but I think it's sufficiently interesting that it's worth calling out.

18:37 CDNs like Cloudflare, like bunny.net, the one that we use and stuff like that,

18:43 have a bunch of what are called POPs, points of presence.

18:47 Traditionally, these have been, how do I get my files really close to you so they

18:52 feel immediate no matter where you are in the world?

18:55 For example, I don't know about Cloudflare's details like their stats, but I know bunny.net has something like

19:00 115 servers that are points of presence throughout the world.

19:04 So if you visit the Python by itself website, all the static content like images and CSS and stuff

19:11 are delivered from one of those POPs right by you.

19:14 >> Yeah.

19:14 >> Obviously, the MP3s as well.

19:18 Now, those things have started to have programmable models where in addition to just having the content of say a static file near you,

19:28 they'll have some of the logic of the application near you.

19:32 So if you've got like a React front-end that talks to APIs, maybe it's only talking just down the street to the point of presence,

19:38 not halfway around the world to New York where our server lives.

19:41 This has traditionally been JavaScript.

19:44 So with that set as the stage, Cloudflare has these things called, I think they call them web workers.

19:51 Yeah, something like that. We'll see in just a second.

19:54 Those have been traditionally done in JavaScript.

19:57 So there's a whole infrastructure about distributed databases and things like that,

20:01 that these workers can work with. It's pretty interesting.

20:04 But the news is Cloudflare announces, they're bringing Python to these workers with Pyodied and WebAssembly.

20:12 So now you can start to program these edge devices, these points of present things like right near each other with first-class Python support,

20:20 based on all the work of Pyodied and WebAssembly and all those things.

20:25 Isn't that excellent?

20:26 >> It is excellent.

20:27 >> This is a big announcement. I got the Omnivore page pulled up, and the read time is 16 minutes.

20:33 We're not going to go through all that.

20:34 So let me just pull out some highlights here.

20:37 So one of the things that's really made this possible, made interesting is they've put a huge amount of effort into

20:42 optimizing the runtime for JavaScript to make it work well.

20:47 It's Pyodied's integration with JavaScript for that runtime performance implementation side to make this work really well.

20:58 So it says, "Beyond just compile to WebAssembly." Each worker is what's called a V8 isolate.

21:06 So it's like a container, but just less, just an isolated version of the V8 runtime,

21:13 which is the Chrome's JavaScript engine that also runs WebAssembly.

21:17 So it says, "It's not just as easy as copying over the WebAssembly stuff and running it because they have

21:22 thousands of these things running on one server.

21:25 If each one had to do full-on startup for WebAssembly, full-on startup for Pyodied,

21:30 which is six megs and takes some delay to get going and so on, it wouldn't be practical.

21:36 So they've done all this work to memory snapshot an almost running pip installed setup version of this,

21:44 and then deliver it to you upon request.

21:47 So there's a lot of shared memory or shared processing.

21:50 Here's how you write it, Ryan.

21:51 From JavaScript, import response, async def on fetch, then do your Python and return some response.

21:58 >> Cool.

21:59 >> Let's see. There's a cool graph that compares what's VMs versus containers,

22:04 versus these isolate things.

22:06 Like I said, it's a lot more put together.

22:10 One of the things that's pretty interesting here is it has support for FastAPI and LingChain.

22:17 So there's a bunch, like I said, this is really long, but let's look at the FastAPI version here.

22:23 There's a whole example, I'll point people at, of code, Python worker examples, and Cloudflare's GitHub repo.

22:30 So if you go to the FastAPI one here, and you go to the source, and you pull up the worker,

22:35 and you hide the symbol so we can all see.

22:37 Basically, check this out.

22:38 So this is Python code running effectively in a node style like thing, in WebAssembly on the edge of one of these workers.

22:47 Here's what you write. From FastAPI, import FastAPI and request from Pydantic import base model,

22:53 use app equals FastAPI, app.get.

22:55 Here's your document you return.

22:58 Here's your async function that you write, you can go do async things.

23:01 Here's your Pydantic model with Python types.

23:04 What do you think? Here's your post, your puts, your gets.

23:06 >> This is pretty cool.

23:08 >> Yeah, and they've got some database thing that it integrates with so you can have persistent data and so on.

23:14 But like I said, I don't do a ton with these things, but I might start paying attention if I can do it in Python.

23:19 >> Yeah, definitely. Yeah.

23:21 Yeah, back in my day, a V8 isolate was just carrots.

23:24 >> Exactly. It's the part that sinks to the bottom and then you take it out, right?

23:30 >> No. If people use Cloudflare already and those are workers, this is super interesting.

23:36 If you just want to see some cool unique uses, and I guess in a way, one of the real first production uses of

23:43 PyOdied and Python in WebAssembly.

23:46 >> Yeah.

23:46 >> Check this out.

23:47 >> Definitely.

23:48 >> All right. That's all of our main topics, right?

23:50 >> That is.

23:52 >> All right. How extra are you feeling today?

23:54 >> I have zero extras.

23:56 >> Zero?

23:57 >> Zero extras. Just a better job later.

23:59 >> All right. Well, I got a couple.

24:00 I'll go through quickly here for us.

24:02 First of all, Brian Skin sent both of us a message and said, "Look, there's a decent chance the podcast audience

24:08 has already filled you in on this.

24:10 But last week since I talked about LPython and the related projects are spearheaded by Andre Sertic."

24:17 Brian, you are, Brian Skin, you are the podcast audience who has filled us in. Thank you.

24:23 Actually, Brian did a whole hour-long interview with him on it.

24:28 So if people want to check out LPython further, which we talked about before, check that out. That's pretty cool.

24:33 Next, I really like this idea.

24:35 We talked about JustPath last time.

24:38 >> Yeah.

24:39 >> How it helped you diagnose your path, like duplicates, missing directories, all that kind of stuff.

24:44 Listen to last week if you want the whole details.

24:46 But the guy behind it said, "Hey, that was really awesome. You covered it.

24:51 I'm going to create a badge, a Python bytes GitHub badge for the project."

24:56 What do you think about that, Brian?

24:57 >> I think that's really cool.

24:59 >> I do too. So I'm going to try to set it up so that there's an automatic GitHub badge that people can put on their readme,

25:07 if their project was featured in Python bytes, and I'll put that at the top,

25:11 put the code you can get for that or something at the top of the show on the episode page.

25:15 It's not there yet, but eventually, you should be able to get a cool little badge like this that says,

25:20 "My project was featured on the podcast on this episode," and here's a link to it all within one badge.

25:24 >> The badge has the number shows what episode it was on.

25:30 >> Yeah, exactly. Instead of saying Python 3.12, it says Python bytes and the episode number. It's excellent.

25:35 >> Yeah, that's pretty cool.

25:38 >> Thanks for that. I am as well. Let's see what else.

25:43 Brian, we have a brand new server going strong now. Did you see?

25:48 >> I did. That's pretty exciting. Was that a lot of work?

25:50 >> Yes. It was a lot of stress, not a lot of work.

25:54 So I decided it's time to upgrade the server, get some more RAM.

25:58 More CPUs is always nice, but I couldn't reasonably get more RAM without more CPU,

26:02 so I'll just take them.

26:03 So we had some downtime for about 20 minutes actually last night.

26:09 So if you ran into that, I apologize. That took out everything because this

26:13 was not one of the Docker pieces out of the Docker.

26:16 This was the host of all the Docker clusters.

26:18 So it was gone.

26:20 I couldn't even reasonably put up a word down page because it was the host thing that was down,

26:26 not part of the site.

26:27 Anyway, now, I don't know where the reply went.

26:33 If I'm not logged in, it doesn't show me.

26:35 But we now have a sweet machine running along just like before.

26:40 So that worked out pretty well.

26:41 Before that, I was so happy, Brian.

26:43 We had for the last 30 days running a 99.98 percent global uptime.

26:50 That was awesome.

26:51 >> That is pretty great.

26:52 >> I know turning off the server for 20 minutes.

26:56 With 20 gigs of database records, it takes a while to copy that from one VM to another.

27:03 So that's what took so long.

27:05 >> It's only three nines though.

27:06 You need to work on that.

27:08 >> Well, it's three nines and then an eight on the end.

27:11 It's almost four nines. It's so close.

27:13 I'm going to try to make it better now.

27:15 But it went down to I think 99.94 percent, which I think is still pretty darn good

27:22 for some random dude in Oregon running a server.

27:25 >> That's pretty awesome.

27:26 Python test went down last week for 12 hours or something like that.

27:31 >> Oh, no. Was that something that had nothing to do with you, just the host of it or something?

27:35 >> It had something to do with me, but it was a DNS thing.

27:39 The DNS glitch, it was an accounting thing on my part.

27:47 When it got repaired, they didn't repair all the DNS records.

27:52 So I had to go recreate all the DNS records.

27:54 >> What a hassle.

27:55 >> Yeah.

27:55 >> Yeah, it's a huge hassle. All right.

27:57 >> Cool.

27:58 >> But before we go on for a joke, Henry out there on his points, what about rich and textual?

28:04 They'll just be overrun with these badges.

28:07 >> Yeah.

28:08 >> These Python bytes badges.

28:11 >> We'll have to do an infinity symbol for those projects.

28:14 >> Exactly. Maybe some sequence like this 100 dot dot dot 400.

28:21 >> Yeah.

28:22 >> Something like that.

28:22 >> Also, backing up a little bit, the Edge workers from Andrew Bayer, Pyedide works in Web Workers now too,

28:33 which is totally different thing, but also cool.

28:35 That is very cool.

28:36 >> Awesome. Okay, that is very cool. Thanks, Andrew.

28:38 I think Web Workers are basically like background threads on your web app,

28:42 which I think there used to be troubles with that as well.

28:46 All right. This one, I thought of you when I got this joke, right?

28:49 >> Okay.

28:50 >> This makes us a little AI, a little bit of C++, the graphic is crummy,

28:56 so it's hard to read. But Gemini, the Google AI, this person says, Gemini is apparently told your Google account age,

29:06 and will answer questions with the appropriate caution.

29:10 If you're like a minor, you're like 12-year-old kid with a Gmail account,

29:16 you don't want this thing to just tell you all the secrets of life, like, "Hey kid, Santa Claus is fake."

29:22 No. All right.

29:23 But here it is, in fact, talking about something else.

29:26 It says, "Here is Gemini refusing to help someone with C++ because they're under 18

29:32 and advanced C++ is a danger to a young mind." Are you ready?

29:37 >> Yeah.

29:38 >> The person just says, "I have a function inline bool is key down standard namespace,

29:43 same as template of key auto dot dot dot keys." It's pretty intense code, right?

29:50 It says, Gemini says, "I'd be glad to help you with that C++ code conversion,

29:55 but I'll need to refrain from providing code examples or solutions that directly involve concepts.

30:01 As you're under 18, concepts are an advanced feature of C++ that introduce

30:06 potential risks and I want to prioritize your safety.

30:10 Here are some alternative approaches you could consider depending on your specific requirements,

30:14 traditional variadic templates and so on." >> Because you're under age, I'm going to focus on traditional variadic templates?

30:24 >> You're good. What do you think?

30:29 Is that a good one or what?

30:30 >> Yeah, that'll scare them away from C++.

30:32 >> I'll go back to Python.

30:34 >> Yeah, nice.

30:35 >> All right.

30:36 >> Okay. I've got a quick baseball joke.

30:39 So we're just deep into baseball season now.

30:44 If you take a trip to see a baseball game, what is that called?

30:48 It's an inning outing.

30:50 >> An inning outing. I love it.

30:53 >> That joke.

30:54 >> I love it. Yeah, we have no baseball.

30:57 We've got to dive to all of our professional sports, besides soccer and basketball.

31:02 >> So it's been a while. It's been a while since I've been to a game.

31:05 >> It's been a long time since I've been to a game.

31:07 >> It's been a long time since I've been on an inning outing.

31:09 >> An inning outing. Yeah, and yet I still find T-shirts.

31:13 You can get T-shirts other places.

31:15 >> Yeah. T-shirts, they persist for sure.

31:17 That and conference T-shirts.

31:19 >> Yeah.

31:20 >> All right. Well, thanks as always.

31:22 >> Thank you.

31:22 >> See you later.