Short of doing a reimplementation, you could possibly run your python code in another process via a remotecall (as described in the manual http://julia.readthedocs.org/en/latest/manual/parallel-computing/). In that case you REPL would be responsive as the I/O is done in another process.
On Monday, October 12, 2015 at 10:10:39 PM UTC+2, Yakir Gagnon wrote: > > I see, thanks for the great explanation! > So there's nothing I can do. Would Escher get around it? I guess I'd need > to implement that python code in Julia... > On 12/10/2015 11:34 PM, "Steven G. Johnson" <[email protected] > <javascript:>> wrote: > >> >> >> On Monday, October 12, 2015 at 1:59:59 AM UTC-4, Yakir Gagnon wrote: >>> >>> One important piece of information is the integration time (similar to >>> the shutter speed in a camera): after I set the integration time the >>> spectrometer start sampling the spectra at that frequency. When I try to >>> retrieve the intensities it will spit them out only when one cycle ends. >>> This means that when I try to run the function that retrieves the >>> intensities it can take anything from 0 to integration-time seconds. >>> >>> Here's the weird thing: >>> When I run my code the REPL becomes non-responsive for integration-time >>> seconds, so if I try to type some text, the letters get typed in only one >>> letter at an integration-time (note that CPU usage is less than 3%)... But, >>> if I replace the function that retrieves the intensities with some mock >>> function that `sleep`s for a random amount of time and returns a (equally >>> long) vector of random floats, the REPL jitter is gone..! >>> >> >> Julia I/O functions, and functions like sleep(t), use the libuv library >> for asynchronous cooperative multitasking. That means that when one task >> is waiting on I/O, another task (e.g. the REPL) can wake up if there is >> something for it to do. >> >> However, Python I/O does not use libuv, so when the Python I/O task is >> waiting to finish reading something then it just blocks, and nothing else >> in Julia can run. >> >
