Rapid Files
Dee Piccard
If I connect to the robot with an ethernet cable to the service port I can connect to the robot fine, but RobotStudio will not show me the RAPID files, and gives this error in the output window:
RAPID Editor: No connection with controller
When I connect to the robot over the network (the robot is also connected to a network switch on a different port) I don't have this issue, so I think that somehow my settings for the service port are wrong?
Our systems manager has recently left the company and I have been sourced with dealing with this issue. Our repository is currently at 99% capacity. I understand space is only claimed back once the rpfs index files finished deleting. They have been deleting solidly now for at least 5 days. When can I expect them to finish so that space is reclaimed. Learning on the job here so any help would be greatly appreciated.
If they are continuously running, then they never 'catch' up. The only way to let them catch up is to let them have an open highway so that the core is doing nothing but delete for a period of time. You can do this by pausing your backups, or you can enable the nightly deferred delete job so that the the core does nothing by delete for 'x' number of hours. Once you fall behind in deletions for whatever reason (large amount of RP removals, larger/traffic heavy environment, burdened/slow storage) the only real ways to 'catch up' are those. More than likely you'll have to pause the backups, you'll notice when nothing else is running the deletion will run much, much faster.
The easiest way to pause them would be to click the '... to the right of the heading of 'Protected Machines' which will allow you to issue global commands. From here you can 'Pause Protection' which will pause all the backups. I'd personally leave it paused as long as you can to free up space. Are you seeing the deleting RPFS index jobs? Keep in mind you only see those if you click the service filter (gear icon) when looking at the events. Also, it wouldn't hurt that once you see them no longer running you bounce the core service to remove any locks from dedupded blocks of data that couldn't be deleted due to being in use.
I came to the same conclusion not to long ago. I was planning to make a lot of things datadriven for my RPG, including things such as NPCs, items, player classes along with their skill and stats progression tables etc, but in the end I came to the conclusion: Why design a new syntax and write a parser for it when I can just as easily use my language of choice - C# to define such things... It's not like I'm gonna be working with a team of non-coders any time soon anyway since I'm just myself.
I believe that if things are properly separated, even for games that expect to grow up exponentially, data-in-code can be good deal, as it follows KISS and YAGNI. Overall, you can do small refactors and incrementally build a parser as needed. Of course, you'd lose time refactoring, but earn time in actually coding only the features you need (if ever). So, maybe, it might be a good way to go most of the times, as long as you don't already own/know a parser (which then you can just use it)
Oh yea excellent point, a little abstraction layer is especially effective with this approach. In the game described, I never reference the newspapers directly via the array defined in code, instead I had a NewspaperMan(ager) class that abstracted it via simple functions like GetNewspapersForDayX() or ApproveOrBanNewspaper(). I could then completely refactor how I store the data without teaching any of the other code.
This post seems like a no brainer to me? If you're trying to write lots of parsers and tools for a very small project you need to quickly iterate on and don't have a lot of time to work on, you're overengineering and have a problem. Cut through the bullshit, and work on what needs to get done instead of wasting your time on things that don't have to be done with the time you have. It's a personal problem, through lack of good organization and time management. I have that problem with my personal stuff.
But also because of that, this approach isn't useful to anyone in the work world where you do need to develop tools and provide good support for a project. I was hoping to get something useful out of this post to apply to the real world.
to avoid writing parsers for data driven stuff, i have a generic data driven file format and API. the files are text files, with one data value per line. read / write order implicitly defines what var goes with what value - so you don't have to map key,value pairs to variables - like with a generic json read. The API provides routines for reading ints, floats, and strings. any line that begins with a "/" is a comment, and is skipped by the read routines. this lets you embed comments in the data file to help identify what the values are - since there are no explicit keys. this single format and 3 routine API can be used for just about anything, from lists of assets to load, to data driven entity definitions. and its less work than a json type approach, while still giving you data driven capabilities.
From this page you can download the RAPID timeseries data. A full description of the data files is given inthe README file and the error estimates is given in README error file. Use the links on the left to view plots of the data and read about related data. To access the data we ask that you leave your email address so that we can notify you when updates to the timesereis become available and so that we can record the number oftimes the data is accessed.
Data from RAPID AMOC monitoring project are made freely available to the public. The project scientists would appreciate it if you added the following acknowledgment to any publications that use this data:
The project scientists would also appreciate it if you informed us of any publications or presentations that you prepare using this data. Continued funding of this project depends on us being able to justify the usefulness of the data to the Natural Environment Research Council.
Data PrivacyTo download the data we ask that you enter your email address below. This will enable us to inform you when new data are available for download. In addition we generate statistics about the number of users of the RAPID data set, this is important in enabling us to secure continued funding for the observations.
Email addresses provided here will not be used for any other purpose. If you do not wish us to contact you about future data releases please email eleanor...@noc.ac.uk
Release notes, targeted regions manifest files, and the exome probe manifest for Nextera Rapid Capture Exome v1.2. The targeted regions manifest files list the 214,126 targeted exonic regions with start and stop chromosome locations in GRCh37/hg19.
Nextera Rapid Capture Exome target region intervals that do not overlap the Nextera Rapid Capture Exome target region. Exome has 4.1 MB unique intervals: 336,295 intervals across 205,598 exome targeted regions, as determined by base overlap.
Nextera Rapid Capture Expanded Exome target region intervals that do not overlap the Nextera Rapid Capture Exome target regions. A total of 29 MB are unique to expanded exome: 50,257 intervals across 47,273 Expanded Exome targeted regions (determined by base overlap only).
Nextera Rapid Capture Exome targeted region intervals that overlap Nextera Rapid Capture Expanded Exome targeted regions. The total overlap is 33 MB between the two products: 189,522 overlapping intervals across 188,621 exome targeted regions (determined by base overlap).
Demo dataset to validate installation of the enrichment workflow in HiSeq Analysis Software (HAS). It includes a run folder that contains 10% of tiles from one lane of reads from the Coriell Sample, GM10861, enriched using the Nextera Rapid Capture Exome Kit with a plexity of 12.
At Illumina, our goal is to apply innovative technologies to the analysis of genetic variation and function, making studies possible that were not even imaginable just a few years ago. It is mission critical for us to deliver innovative, flexible, and scalable solutions to meet the needs of our customers. As a global company that places high value on collaborative interactions, rapid delivery of solutions, and providing the highest level of quality, we strive to meet this challenge. Illumina innovative sequencing and array technologies are fueling groundbreaking advancements in life science research, translational and consumer genomics, and molecular diagnostics.
It looks like something else is mounting the phone. Only one operating system level process can access the phone at one time. That is a limitation of the PTP/MTP protocol. This cannot be worked around. You need to figure out what that process is, and stop it doing it.
It is the combination of (1) and (2) that is causing the underlying problem: Rapid Photo Downloader is not able to establish an MTP connection to download files from the phone, because your phone has already disconnected by the time GVFS relinquishes control of the phone. Remember: only one operating system process can control an MTP device. That is how the protocol works. There is literally nothing Rapid Photo Downloader or any other program like gPhoto2 that uses MTP directly can do here. This is not a problem with Rapid Photo Downloader. It is a problem with the way your phone and your Linux desktop are Interacting with each other.
4a15465005