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When running DCS.process(my_df), I get this error: AttributeError: module "time" has no attribute "thread_time". From this link I see that thread_time() is available with Python >= 3.7, on systems Windows/Linux/Unix systems that support CLOCK_THREAD_CPUTIME_ID. However, I can't find anything regarding whether or not the Unix system that MacOS is built on supports that specific C++ function. Have you personally run DCS.process() on a Mac machine / do you know of users that have successfully done so? If not, I'll assume that for now I won't be able to use this module.
The text was updated successfully, but these errors were encountered:
The latest version of DigitalCellSorter has been extensively used with Windows and Linux operating systems. On MacOS the latest version of the package had been tested for installation only.
I have added the following note in the main readme.md:
Note: We are currently preparing a manuscript describing the toolkit located this repository. If you want to access the package detailed in our latest publication of Polled Digital Cell Sorter go to https://zenodo.org/record/2603265 and download the package (v1.1).
When running
DCS.process(my_df)
, I get this error:AttributeError: module "time" has no attribute "thread_time"
. From this link I see thatthread_time()
is available with Python >= 3.7, on systems Windows/Linux/Unix systems that supportCLOCK_THREAD_CPUTIME_ID
. However, I can't find anything regarding whether or not the Unix system that MacOS is built on supports that specific C++ function. Have you personally runDCS.process()
on a Mac machine / do you know of users that have successfully done so? If not, I'll assume that for now I won't be able to use this module.The text was updated successfully, but these errors were encountered: