The numpy.issubclass_() function tests if one class is a subclass of another. It's similar to the built-in Python function issubclass(), but with some differences to handle NumPy specific types and issues.
numpy.issubclass_(arg1, arg2)
True if arg1 is a subclass of arg2. Returns False otherwise.
Here's a simple example of how to use numpy.issubclass_():
import numpy as np # Create two custom classes for demonstration class ParentClass: pass class ChildClass(ParentClass): pass # Check using numpy.issubclass_() print(np.issubclass_(ChildClass, ParentClass)) # True print(np.issubclass_(ParentClass, ChildClass)) # False print(np.issubclass_(int, (int, float))) # True print(np.issubclass_(float, (int, float))) # True print(np.issubclass_(str, (int, float))) # False
In this example, ChildClass is a subclass of ParentClass, so np.issubclass_(ChildClass, ParentClass) returns True.
As you can see, the numpy.issubclass_() function is quite straightforward and provides a method to check the subclass relationships, especially in contexts where you're working extensively with NumPy and its associated types.
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