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Unveiling the Nature of Functions, Unbound Methods, and Bound Methods
The concept of classes and methods is fundamental to object-oriented programming paradigms. Understanding the nuances and relationships between functions, unbound methods, and bound methods is crucial for mastering the intricacies of Python's method resolution system.
Defining the Entities
Transformations and Accessibility
Key Differences
Equivalence and Usage
In both Python 2 and Python 3, the following expressions are functionally equivalent:
<code class="python">f1(C()) C.f1(C()) C().f1()</code>
Binding a function to an instance creates a modified version where the first parameter is inherently set to the given instance. Essentially, this bound method behaves identically to the following alternative forms:
<code class="python">lambda *args, **kwargs: f1(C(), *args, **kwargs) functools.partial(f1, C())</code>
From Unbound to Bound
A Python 2 instance of a class has no direct attribute corresponding to unbound methods, which are instead retrievable through the __dict__ attribute of the class itself. However, accessing an unbound method on an instance results in its automatic conversion to a bound method.
Conclusion
Grasping the distinctions between functions, unbound methods, and bound methods empowers you to effectively utilize Python's method resolution mechanism. Comprehending the mechanisms of binding and transformation empowers you to navigate the complexities of object-oriented coding with ease.
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