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  1. Sep 20, 2008 · To avoid creating .DS_Store files, do not to use the OS X Finder to view folders. An alternative way to view folders is to use UNIX command line. To remove the .DS_Store files a third-party product called DS_Store Terminator can be used. To delete the .DS_Store files from the entire system a UNIX shell command can be used.

  2. May 27, 2015 · There’s no performance benefit in deleting .DS_Store files. They are harmless files that don’t usually cause any problems. Remember that the .DS_Store file saves your personalized folder settings, such as your icon arrangement and column sortings. And that’s why you normally don’t want to delete them but rather HIDE them.

  3. Jun 21, 2013 · The difference between forever and always is that always can exist as a "module item", which is the name that the Verilog spec gives to constructs that may be written directly within a module, not contained within some other construct. initial is also a module item. always blocks are repeated, whereas initial blocks are run once at the start of ...

  4. Jan 9, 2014 · Sample output of the above command, for three processes running. console.log output's are stored in these logs. info: Logs for running Forever processes. data: script logfile. data: [0] server.js /root/.forever/79ao.log. data: [1] server.js /root/.forever/ZcOk.log.

  5. Nov 11, 2017 · 1. I find xarray to be very slow to save a dataset to netCDF. I suspect the reason for this is that the .to_netcdf () command first has to load the data before saving it. For an example I get the following timings: Example a) ds.to_netcdf(file_path) # ~6 minutes. Example b) ds.load() # ~6 minutes. ds.to_netcdf(file_path) # <1 second.

  6. Jul 15, 2013 · See the Windows Credentials Manager shortcut and double-click it to open the application. Once the application is open, click on the Windows Credentials tab. Locate the credentials that you want to remove/update. They will start with "git:" and might begin with "ada:" Click on the credential entry.

  7. To have a function run every so many minutes at the beginning of the minute, the following works well: schedule.every(MIN_BETWEEN_IMAGES).minutes.at(":00").do(run_function) where MIN_BETWEEN_IMAGES is the number of minutes and run_function is the function to run. – Nicholas Kinar.

  8. def stop_serving_forever(self): """Stop handling requests""" self.should_be_running = 0 # Make a fake request to the server, to really force it to stop. # Otherwise it will just stop on the next request. # (Exercise for the reader.) self.make_a_fake_request_to_myself() Edit: I dug up the actual code I used at the time:

  9. NOLOCK makes most SELECT statements faster, because of the lack of shared locks. Also, the lack of issuance of the locks means that writers will not be impeded by your SELECT. NOLOCK is functionally equivalent to an isolation level of READ UNCOMMITTED. The main difference is that you can use NOLOCK on some tables but not others, if you choose.

  10. Dec 14, 2022 · TensorFlow version: 2.11.0 Num GPUs Available: 1 Metal device set to: Apple M1 Pro WARNING:tensorflow:AutoGraph could not transform <function normalize_img at 0x14a4cec10> and will run it as-is. Cause: Unable to locate the source code of <function normalize_img at 0x14a4cec10>. Note that functions defined in certain environments, like the ...

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