I wonder if her friend was Korean. I used to live in Korea and the currency difference is about 10:1 with Japan. I spent a weekend in Japan and made the same mistake once. I saw a 10,000¥ wallet, mistakenly did the Korean mental math (1000₩≈$1) and thought it was $10 instead of $100. Luckily the cashier corrected me before I bought it.
I can see that one - great article, thanks!
Pardon my delicate city sensibilities but I don’t think children should be working in meat processing plants surrounded by death and danger.
I got a 404 when I clicked your link - do you have an alternative?
The dev said they’d start kicking inactive ppl soon to make room, but it hasn’t happened yet. I believe TestFlight also expires after 90 days, so if you check back you may be able to get the accelerated updates then.
The TestFlight is full :/ I didn’t get in either.
Do you have a recipe? :)
Why would that be orthogonal? Most plastics are created using crude oil and natural gas feedstocks - the creation of these single use plastics directly impacts climate change.
Instead of highlighting, a different text color may serve the same purpose without being as obtrusive.
Regex101 is a sandbox env specifically for Regex
I’d love for you to post this as a proposal on the Lemmy GitHub.
Can you please explain more about how this works? Does it get automatic updates or do you have to repeatedly manually upgrade? Is it android only, require root, etc?
I’m really encouraged by the growing number of new contributors with each post.
Especially because it makes it unclear whether posting is a success. I posted something and because it was deemed read, it immediately disappeared off my profile. I refreshed to no avail, so I thought it didn’t post properly and tried again. When I turned off the setting, I saw that there were two posts the whole time.
I’m using the App Store version and I see this too - maybe others are using the test flight version? The Memmy dev said the AppStore version was a bit older and may have small bugs that have since been fixed.
If you’re working with a well known language, then you can probably use NLTK to tokenize your words. Word2vec is also helpful if you want a word embedding approach. https://github.com/nltk/nltk
Try looking into OpenNMT, I used it for a similar task.
I’d also love to see more granular “top” categories (top 1 hr/6hr/12hr). The algorithms for hot and active aren’t quite honed yet, so I’ve been using these instead.
You’re right, I hadn’t read that yet at the time I posted this.
Retraction: It appears that minors are not allowed to be working in meat processing plants, but that he was hired by an external staffing contractor who did not properly adhere to those restrictions.