Question related to the thread Multithreading PyQt applications with QThreadPool

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bharathinmail5419 | 2020-07-19 10:31:58 UTC | #1

Can you explain more how

python
    # Add the callback to our kwargs
    self.kwargs['**progress_callback**'] = self.signals.progress

had binded to the below function

python
    def execute_this_fn(self, progress_callback):
        for n in range(0, 5):
            time.sleep(1)
            progress_callback.emit(n*100/4)

martin | 2020-07-19 10:39:49 UTC | #2

Hey @bharathinmail5419 welcomet to the forum!

This is making use of Python keyword unpacking. This allows you to pass keyword parameters to functions using a dictionary of key=value pairs.

When we call the execute_this_fn we call it with the following ...

python
execute_this_fn(**self.kwargs)

This unpacks the key=value pairs in the self.kwargs dictionary, as keywords for the function. So for example, if we had the following dictionary

python
my_dict = {
'something': 3,
'another': 6,
}

and then called a function as follows...

python
my_function(**my_dict)

this would be the equivalent of ...

python
my_function(something=3, another=6)

So, going back to the original example. We have a dictionary called kwargs which holds keyword arguments. We add another entry to that dictionary called 'progress_callback' which holds the function we're going to call. That could be anything, but for example say we stored the print function --

python
kwargs = {}
kwargs['progress_callback'] = print   # Store the print function in this dictionary

If we then called our function with...

python
execute_this_fn(**kwargs)

That would be the equivalent of calling

python
execute_this_fn(progress_callback=print)

The value stored in the dictionary under progress_callback is passed as an argument with that keyword to the function.


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