2020. 2. 7. 20:51ㆍ카테고리 없음
Why do I get permission denied when using mv althrough directory rights are correct? Ask Question. I am on Mac OS X El Capitan. Files permissions directory mv. Share improve this question. Edited Oct 6 '15 at 23:57. 520k 125 1038 1569. Asked Oct 6 '15 at 13:31. Can you make a Rubik's Cube pattern with a 4 color flower on every. Oct 3, 2010 - El' Capitan ColorNavigator '.,5.4.3. Forum, OS X.El.,'Capitan, google drive. Thepiratebay'stable.10.10.5 ColorNavigator,5.4.3 'extension, macOS. OneDrive software' 1337x 'ColorNavigator, 5.4.3, tpb' forum, software. TOP app Rubiks Cube Timer 10.12 Sierra english help find thepiratebay bsCpQ; ».
So, I partitioned my drive (macbook pro) installed ubuntu and rEFind and everything was working smoothly. I then updated to el capitan and now i can't access ubunutu because rEFind doesn't work. I have tried to reinstall rEFind and I get this message. Do you want to attempt installation (Y/N)? Y Found suspected Linux partition(s); installing ext4fs driver.
Installing driver for ext4 (ext4x64.efi) Copied rEFInd binary files Notice: Backed up existing icons directory as icons-backup. Existing refind.conf file found; copying sample file as refind.conf-sample to avoid overwriting your customizations. Could not set boot device property: 0xe00002bc ALERT: Installation has completed, but problems were detected. Review the output for error messages and take corrective measures as necessary. You may need to re-run this script or install manually before rEFInd will work. Unmounting install dir Volume EFI on disk0s1 unmounted I need some help, I'm a little over my head. Your initial problem is caused by El Capitan's new SIP/CSR feature, and is covered in the rEFInd documentation: The issue you describe in your comment of OS X booting from the Recovery HD partition is simply a matter of how Apple has chosen to name and use its partitions.
Originally, Intel-based Macs placed their boot loaders on the OS X system (root, /) partition. With disk encryption and LVM setups, though, Apple had to move the boot loader elsewhere. The logical place to put it was on the but for reasons known (only?) to Apple, they chose instead to put the boot loader on the Recovery HD partition, which already existed as tool for (as you might guess) recovering a damaged installation.
REFInd reports the name of the partition on which a boot loader is stored whenever possible. Thus, what you're seeing is Apple's decision, not a rEFInd bug per se.
I'm looking for an online OSM style editor that lets me style OSM ways and nodes by tags. I know CloudMade's editor is no longer available, and Mapbox's does this but has zoom level rendering limits (eg, won't render buildings below zoom level 13). My goal is to get a map of the USA (or world if I can) that shows where every OSM building has been mapped (ways with building= ).
And a second map that shows where every OSM building + street address is (ways with addr:housenumber=). Here's an example map I did using a state OSM extract in Kentucky, processed with Osmosis, and QGIS to render: But unfortunately the North America extract is too large for me to work with, and QGIS can't even open the large Osmosis processed file on my machine. I also set up osm2pgsql and PostgreSQL/PostGIS databases, but again the file sizes and processing times are too huge. Is there an online tool where I can style buildings at a low zoom level? SOLVED I finally got the image I needed of all the buildings and buildings with street addresses for all of North America, by using the info in the answer below. I basically setup postgres and used pgAdmin3 to manage it and then osm2pgsql in the command line with the correct options and styles to load the raw.pbf export into the database, then connect to it with QGIS to visualize it. Once the data was in postgres it was easy and fast to deal with, even displaying it in QGIS on my modest computer.
The short answer is, there's no outstanding way. Options that won't work well Hadoop Hadoop and similar tools aren't the solution, as it's entirely possible to do this type of analysis on a reasonably powerful server. You may not have a reasonably powerful server, in which case Hadoop wouldn't be a good option since it needs a cluster. If you happen to have a Hadoop cluster and are an expert in using it, it's reasonable, but otherwise it's more development time for no gain.
Vector tiles Vector tiles don't remove any processing steps, they just allow some of the work to be shared by multiple styles. As you've seen with Mapbox Streets' styling, buildings aren't often in low-zoom vector tiles, so you'd have to generate them yourself. You could stitch together low-zoom vector tiles, but you'd have to use your own rendering toolchain for that, and it would be complex. Reasonable options OSM has about 160 million building ways, 35 million addresss nodes, and 21 million ways with addresses. Most of the last are also buildings. Osm2pgsql osm2pgsql can handle this on reasonable hardware, if you take care to exclude other data. To do this you want a custom.style file which includes only address and building tags.
Starting with, the suggested starting point, we can get node,way addr:unit text linear node,way addr:housename text linear node,way addr:housenumber text linear node,way addr:street text linear way building text polygon Everything below here is copied from empty.style, with the 'building' and zorder lines removed. I ran this command (buildings only style): osm2pgsql -U mschnuerle -d mschnuerle -create -slim -flat-nodes nabuildings.bin -cache 18000 -number-processes 3 -style buildings.style north-america-latest.osm.pbf; Which output this: Processing: Node(794783k 1292.3k/s) Way(52669k 32.51k/s) Relation(471970 89.52/s) parse time: 7507s (2 hours) with these specs: Mac Specs OS X El Capitan 10.11 Beta iMac 27' Mid 2011 3.1 GHz Intel Core i5 (4 cores) 25 GB 1333 MHz DDR3 1TB SATA HD - about 250GB And made this in QGIS: – Sep 25 '15 at 20:29. As you discovered, there is a price to pay trying to process and render millions, or even tens to hundreds, of millions of objects at low zoom. You will hit limits at some point, or may need to sit out excruciatingly long processing or drawing times. Unfortunately, many less experienced GIS users have a difficulty grasping this, or even refuse to accept this.
Your question may therefor be unrealistic, unless you live in the luxury position of having 'scientific research style' Big Data distributed processing facilities at hand, like clusters managed by Hadoop and the associated eco-system of applications like (No SQL) distributed databases, that are actually designed to handle this type of throughput and do analysis on such vast (tens to hundreds of millions, or even billions) of objects in a timely manner. An average 'household' laptop or desktop, or even 12 core professional workstation, is no equal. It is not without reasons OSM adopted the concept of landuses like 'residential', 'industrial' etc, to display build-up areas at low zoom. There are actually tools developed to put data from a GIS in a Big Data processing cluster. ESRI developed a number of Open Source ones available here: An interesting blog by one of it's developers (Mansour Raad) is here. I'll disagree with some of the other replies: rolling your own vector tiles and rendering them isn't particularly difficult.
Software Rubiks Cube Timer Bittorrent Os X El Capitan For Mac Download
You will have to drop some data at low zoomlevels in order to make rendering work properly, but there are tools that handle this simplification for you automatically. In particular, is a great open source project that has been used to create most. You can choose your own min and max zoomlevels and simplifications.
I used to create vector tiles for the map on openaddresses.io. There's a bunch there, but it includes the steps for building tippecanoe and normalizing the OpenAddresses dataset into GeoJSON. The actual tippecanoe invocation is a single line. And hey, for good measure,.