Another option is to disable the warning locally […] But this is compiler-specific and noisy. It also does not explain the real issue to anyone reading the code.

I don’t understand this logic. Surely disabling the warning is directly explaining the actual issue, that the code emits a false positive warning for specific compilers and conditions? That the false_but_compiler_does_not_know_it_ thing is apparently the better way to convey what’s going on seems kind of ridiculous.

This sounds like getting offended just for the sake of getting offended. Surely there’s some room for not requiring 100% precision at all times?

If the postman is your ISP, and the people in your house are computers, then the person who picks up your mail at the mailbox and hands it out is the router.

We’ll if that’s not the pot calling the kettle black…

Also A is using polite sentence endings. 〜ます, 〜ました, and です.

Rows of teeth. Like a shark!

I recently found a ublock filter for that!
www.youtube.com##.paper-toast-open.yt-notification-action-renderer.style-scope.toast-button

I’ll usually stop and read them for apps that I like. I like knowing what’s changed.

At that price, you’d be a fool not to get some!

I think that just makes it easier to use smaller amounts at a time.

They’re really playing up the ominous tone.

“We know this because your IP address — xxx.xxx.xxx.xxx — was the first thing your device sent us. We know the rest of it. We chose not to display it. Most pages would not have made that choice. We did not ask for your location. Your address arrived before you did.”

Uh, yeah. That’s how IP addresses work.

Most of the time the front doesn’t fall off at all! Unless a wave hits it.

That’s got it, thanks!

Ok, I can import the file now, but some entries are getting messed up. This line, for example, shows up in the diary with the amount “NaNg · 722903 kcal”. And as much as I would like to eat Ginger Peanut Chicken until numbers fail to describe my gluttony, I just can’t afford that many calories.

Day,Group,Food Name,Amount,Energy (kcal),Alcohol (g),Caffeine (mg),Oxalate (mg),Phytate (mg),Water (g),B1 (Thiamine) (mg),B2 (Riboflavin) (mg),B3 (Niacin) (mg),B5 (Pantothenic Acid) (mg),B6 (Pyridoxine) (mg),B12 (Cobalamin) (µg),Folate (µg),Vitamin A (µg),Vitamin C (mg),Vitamin D (IU),Vitamin E (mg),Vitamin K (µg),Calcium (mg),Copper (mg),Iron (mg),Magnesium (mg),Manganese (mg),Phosphorus (mg),Potassium (mg),Selenium (µg),Sodium (mg),Zinc (mg),Net Carbs (g),Carbs (g),Fiber (g),Insoluble Fiber (g),Soluble Fiber (g),Starch (g),Sugars (g),Added Sugars (g),Fat (g),Cholesterol (mg),Monounsaturated (g),Polyunsaturated (g),Saturated (g),Trans-Fats (g),Omega-3 (g),ALA (g),DHA (g),EPA (g),Omega-6 (g),AA (g),LA (g),Cystine (g),Histidine (g),Isoleucine (g),Leucine (g),Lysine (g),Methionine (g),Phenylalanine (g),Protein (g),Threonine (g),Tryptophan (g),Tyrosine (g),Valine (g),Category 2026-04-20,"Lunch","Ginger Peanut Chicken","750.00 g",963.87,0.00,0.00,202.97,411.64,438.18,0.54,0.84,24.82,1.63,1.88,1.54,142.39,1074.55,62.64,2.52,4.13,39.04,547.85,0.77,12.70,252.20,1.97,913.92,2259.83,76.25,1861.40,6.73,38.20,55.08,16.50,12.52,1.88,9.13,17.86,7.79,45.73,236.74,16.68,10.61,7.96,0.08,3.19,3.15,0.02,0.01,6.92,0.05,6.82,0.88,1.93,3.15,5.60,5.57,1.68,2.96,85.62,3.14,0.78,2.56,3.38,"Meals, Entrees, and Sidedishes"

Also, there’s a bit of layout weirdness when reimporting days:

I gave this a shot, but when I press the “preview” button I just get a little popup that says “Invalid CSRF token”.

Half ands half.

If you’re going to work on CSV import anyway soon, then I’ll just wait. Thanks!

Rain, Rain, Beautiful Rain - Ladysmith Black Mambazo. Do recommend. Maybe not my top pick from them, but pretty good.

I have exports of my nutrition and weight info from other apps as csv files, and I’d like to import that data if I can. It looks like Nutritrace can export to csv but not import that. There is the option to import from a json backup though. If I can massage my data into that json format, does it seem reasonable to use that as a way to import my historical data?

If the answer isn’t “omg don’t do that”, then I have a couple of questions about the json:

• Does each item in the diary array require a matching foodList/meals/recipes entry? Or could I just generate items in the diary array?
• How much do I need to worry about IDs? The “import JSON” option says that it merges with existing data; how would it handle ID conflicts (which I assume could happen normally when exporting and importing anyway)?
• Are there any gotchas you can think of that I should watch out for?

All I had to do was run the pull command again.