111–120 of 130 posts
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Sorting large volumes of Lego ... call me crazy :) (several metric tons worth)
I thought it was Lego at first, but 39000 shapes seemed a bit much. I thought there were only 8-10k shapes?
mysql> select count(*) from parts;
+----------+
| count(*) |
+----------+
| 38516 |
+----------+
1 row in set (0.00 sec)
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I don't really think this has to do with legal limits; you could probably sell a hut as a "house" in most places if you wanted to, as long as it was compliant with the building codes. The problem isn't that the government won't let you call it that, the problem is that nobody will buy just a hut, they want an actual house. While it may or may not be the case that 'house quality' has declined over the decades, that's…
>as long as it was compliant with the building codes Huts aren't compliant with building codes - and regardless, there's specific criteria you have to fulfill to get various statistics (square footage, bedrooms, bathrooms, kitchen). Plus there are zoning restrictions on minimum building sizes, on top of regulations on minimum room sizes. >do house buyers want to pay 1.2x or whatever for those extra details? Even if t…
and therefore this is not a legal issue, but an economic one. (or aesthetic, or whatever you want to call it, but not legal)
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I thought it was Lego at first, but 39000 shapes seemed a bit much. I thought there were only 8-10k shapes?
mysql> select count(*) from parts; +----------+ | count(*) | +----------+ | 38516 | +----------+ 1 row in set (0.00 sec) Though I'm sure there is some overlap it's definitely not 70%.
Here's the commercial version.[1] This machine is sorting peas by color. Peas. Individual peas. Each individual pea is examined by cameras for size, color, and looking like a pea. Rejects are kicked into the reject hopper by an air jet. There are machines like this for most fruit. Typical throughput is a ton per hour. Most fruit and berries go through such machines today. That's why the fruit at the supermarket is so…
Here's the commercial version.[1] This machine is sorting peas by color. Peas. Individual peas. Each individual pea is examined by cameras for size, color, and looking like a pea. Rejects are kicked into the reject hopper by an air jet. There are machines like this for most fruit. Typical throughput is a ton per hour. Most fruit and berries go through such machines today. That's why the fruit at the supermarket is so…
Top marks for: 1. Showing a diversity of maker skills 2. Making something that actually works 3. Industrial design savvy 4. Entertaining video You've given me some motivation to get off of HN and work on one of my side projects for the rest of today.
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mysql> select count(*) from parts; +----------+ | count(*) | +----------+ | 38516 | +----------+ 1 row in set (0.00 sec) Though I'm sure there is some overlap it's definitely not 70%.
That's really shapes and not counting colors/prints multiple times? (Not that it really matters to the scope of the problem ;))
Of course not all parts exist in all colors so that helps (a bit), but it is quite an interesting problem to work on. Every assumption you make will be challenged.
Prints and stickers are counted separately but that's not a really huge number and they should be correctly identified (so the surface decoration matters as well in the classification).
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If you can share: what are you working on, out of interest?
Sorting large volumes of Lego ... call me crazy :) (several metric tons worth)
Earlier quoted context omitted.
In the Google SRE book they say that if a service has reliability much better than the stated SLO they artificially introduce errors to get closer to the error budget. This is to prevent over-reliance on the measured SLO rather than the stated SLO in upstream services.
This sounds very very odd? Why ride the line? It'd take one major issue then you're way over you error budget? For testing/simulations I can see why you'd introduce the errors.
http://danluu.com/google-sre-book/#chapter-4-service-level-o...