A callable in Python is any object that can be invoked using the function call operatorDocumentation Index
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(). At the architectural level, an object is recognized as callable if its underlying class implements the __call__ special method.
When the Python interpreter encounters the syntax object(), it resolves the special method on the object’s class rather than the instance itself. This translates the invocation into type(object).__call__(object). Consequently, assigning a __call__ attribute directly to an instance will not make it callable via (); the method must be defined within the class dictionary.
The callable() Built-in Function
Python provides the built-in callable() function to determine if an object supports invocation. It accepts a single object as an argument and returns a boolean.
callable() returns True, the call may still fail (e.g., due to incorrect arguments or an internal exception). However, if it returns False, invoking the object will strictly raise a TypeError.
The __call__ Protocol
You can make any custom class instance callable by defining the __call__ method within its class definition. This integrates the object into Python’s callable data model.
Standard Callable Types
According to the Python data model, the following object types are inherently callable:- User-Defined Functions: Objects created using the
defstatement orlambdaexpressions. - Built-in Functions and Methods: Functions implemented in C (in CPython), such as
print()orlist.append(). - Classes: Invoking a class object triggers the instantiation process. It calls
__new__()to create the object. The__init__()method is subsequently executed to initialize the object’s state only if__new__()returns an instance of the class being instantiated. If__new__()returns an object of a different type,__init__()is skipped entirely. - Class Instances: Any instance of a class where the
__call__method is defined on the class itself. - Methods: Functions bound to a class instance. When invoked, the instance is implicitly passed as the first argument (
self). - Generator Functions: Functions containing the
yieldkeyword. Invoking them returns a generator iterator object. - Coroutines: Functions defined with
async def. Invoking them returns a coroutine object rather than executing the function body immediately.
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