343 karma · joined October 2, 2014
rEFInd successfully gets Windows to find the Intel UHD integrated graphics, so that's good. That let me uninstall the Vega 20's drivers and disable it entirely.
Even then, I still don't boot with the enclosure attached - it seems to ignore its presence? Unplugging and plugging it back in triggers Windows to go find all of the hardware, and then I have to wait 30 seconds while things grind to a halt as devices install. I'm eagerly awaiting AMD Navi 10 driver support in OS X, which I suspect will come around since people have found the names in kernel extension strings earlier this year.
If they see you / you don't screw up... otherwise, you get https://www.outsideonline.com/2392955/lets-talk-about-driver... written about you.
(edit: the article's situation is different, because it is describing a high speed rural road and not a city intersection.)
For a while I would come up across a large number of vehicles inexplicably stacked in the left lane, with a huge gap on the right lane. Younger me would zoom up the gap and inevitably find a semi truck and someone passing it very slowly, and the left lane would close ranks because they thought I was a dick. Older me just stays in the left lane.
edit: I'll move to the right when it's so obviously clear that I won't have to move back to the left. But it's really tedious to be weaving across the road with regularity to maintain a strict adherence to the keep right law.
Even in the Sunset and the Richmond, 1 bedroom rents are still expensive. I poked around Craigslist recently and found plenty in the $2500 range. If you go across the bay, it's a little better. And, if you can deal with BART turning into a pumpkin at midnight, you might enjoy your work commute more.
Edit: this post assumes you take a job in SF. But, big companies are building more and more office campuses on the peninsula, away from reasonable public transit options. If I recall correctly, office rents in the city are actually on the rise, considerably, and it is driving larger employers out of the city under the guise of "putting our employees together to collaborate better."
Their ImageNet timing fits within the bounds of a Spot Duration workload, so in the most optimistic scenario, you can subtract 70% from the price - assuming spot availability for this instance type. (Of course, there are many more model training exercises that don't even remotely fit inside 6 hours.)
However, sadly, third-party software that spins up VMs tends to avoid supporting Parallels. I recall Vagrant having a sub-par Parallels provider (compared to the paid VMware Fusion support), and even minikube went with VMware Fusion instead. https://github.com/kubernetes/minikube/issues/220
That one's probably because of the McDonalds.
1 cyclist was killed in a SOMA intersection by a DUI operator through no fault of her own with legal right-of-way.
People may also be picturing different scenarios: NYC couriers and delivery people swerving around them inspires scorn, as do cars driving around you at 30mph in a crosswalk even if no contact will be made. Edit: but the former scenario should happen more often than the latter simply because the car is often too big to pull the same stunt without actually causing physical injury.
I love the picture of a 10 minute traffic meeting, though.
Looking at an example of a library that does native binding: https://mvnrepository.com/artifact/com.github.fommil.netlib/...
It appears the artifact is a DLL, and not a JAR. Thus your original question stands.
Native libraries used by JNI can be shipped in the jar files and are read from the classpath, in addition to reading them from the ordinary linker path.
(edit: turns out I'm wrong about this on Windows)
Can you show an example? 280 in San Francisco comes to mind. The division is the underpass or the overpass, and the frontage roads required to support it. Any big grade change and long distance between buildings suppresses non-car use. It's not limited to freeways, either -- you can achieve a similar effect with grade-separated railways.
Freeways divide neighborhoods; we can't plop them down everywhere, and definitely not in this situation. It takes a massive amount of room to move vehicles at a rapid rate, and it discourages pedestrian-friendly, dense land use (then again, it looks like they already made that decision with a bunch of single-family house subdivisions). Notice nearby that the stuff you can access from I-15 is a bunch of big roads, malls, car dealerships, and an Air Force base. Nobody really likes living next to it, either: there's measurably worse air pollution and much higher noise.
Plus, as we see in any majorly dense area, the freeways turn into buffers for inadequate local traffic capacity as they very quickly turn into parking lots. Low volume exits onto slow surface streets with tons of intersections jams everything up.
> Why isn't there a pedestrian bridge?
Signals that you don't really care about people walking or people with disabilities and want them to drive.
Ok, that was flippant, I realize, but the only time I've seen anyone use prefer overpasses and such is the Vegas strip and that's because it is outright hostile to walk next to or across.
> Why is there a major thoroughfare in front of a school?
Everybody is driven to school. Look at the land use around the school.
With a little bit more poking: Apache Calcite?
Uber and Lyft have given everyone a taste of the self-driving car dream (on-demand comfortable private transit) -- they just need to figure out how to get rid of the drivers. It's already producing political pressure to stall or end hugely expensive transit projects because of uncertainty about what a city might really need in 20-30 years.
Hopefully someone's smart enough to show that we'll all still be stuck in the same dumb traffic of our own making, regardless of a human or computer driver, because we really need to be solving for space and land use by minimizing the distance and frequency of vehicle trips instead, public transit included.
Prior to treatment, did your sinuses open up completely during hard aerobic exercise and then feel like they slam shut as soon as you were done?
Spark actually isn't too painful for this because you can run it locally in a single process. It is not exactly as elegant as the UNIX way you outline in your second example, but it isn't as horrifying as submitting a YARN job or spinning up a cluster.
In spark-shell:
// Skip this conversion if you're just running one query. Do it if you're running many.
spark.read.json(input paths).write.parquet("/target/path")
spark.read.parquet("/target/path").createOrReplaceTempView("logs")
spark.sql("select count(distinct src) from logs where dport = 23").show()
The incremental conversion of your JSON data set to Parquet will be a little bit more annoying to write in Scala than the above example, but is very much doable. There is also a small amount of overhead with the first spark.read.parquet, but it's faster on a local data source than it is against something like S3.