multiprocessing.Pool is driving me crazy…
I want to upgrade many packages, and for every one of them I have to check whether there is a greater version or not. This is done by the check_one function.
The main code is in the Updater.update method: there I create the Pool object and call the map() method.
I have created a small python script of mine. I saved the pickle file on Linux and then used it on windows and then again used it back on Linux but now that file is not working on Linux but it is working perfectly on windows.
Is is so that python is coss-platform but the pickle file is not.
Is there any solution to this one???
I’ve recently changed my program’s directory layout: before, I had all my modules inside the “main” folder. Now, I’ve moved them into a directory named after the program, and placed an __init__.py there to make a package.
I am trying to write an application that applies a function concurrently with a multiprocessing.Pool. I would like this function to be an instance method (so I can define it differently in different subclasses). This doesn’t seem to be possible; as I have learned elsewhere, apparently bound methods can’t be pickled. So why does starting a multiprocessing.Process with a bound method as a target work? The following code:
I’ve created a subclass of numpy ndarray following the numpy documentation. In particular, I have added a custom attribute by modifying the code provided.