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callable(object) getattr(object, name[, default]) hasattr(object, name) isinstance(object, class) issubclass(A, B) random.choice(sequence) setattr(object, name, value) type(object)
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Determines if the object is callable (such as a function or a method) Gets the value of an attribute, optionally providing a default Determines if the object has the given attribute Determines if the object is an instance of the class Determines if A is a subclass of B Chooses a random element from a nonempty sequence Sets the given attribute of the object to value Returns the type of the object
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You ve learned a lot about creating your own objects and how useful that can be. Before diving headlong into the magic of Python s special methods ( 9), let s take a breather with a little chapter about exception handling.
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hen writing computer programs, it is usually possible to discern between a normal course of events and something that s exceptional (out of the ordinary). Such exceptional events might be errors (such as trying to divide a number by zero) or simply something you might not expect to happen very often. To handle such exceptional events, you might use conditionals everywhere the events might occur (for example, have your program check whether the denominator is zero for every division). However, this would not only be inefficient and inflexible, but would also make the programs illegible. You might be tempted to ignore these exceptional events and just hope they won t occur, but Python offers a powerful alternative through its exception objects. In this chapter, you learn how to create and raise your own exceptions, as well as how to handle exceptions in various ways.
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What Is an Exception
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To represent exceptional conditions, Python uses exception objects. When it encounters an error, it raises an exception. If such an exception object is not handled (or caught), the program terminates with a so-called traceback (an error message): >>> 1/0 Traceback (most recent call last): File "<stdin>", line 1, in ZeroDivisionError: integer division or modulo by zero If such error messages were all you could use exceptions for, they wouldn t be very interesting. The fact is, however, that each exception is an instance of some class (in this case ZeroDivisionError), and these instances may be raised and caught in various ways, allowing you to trap the error and do something about it instead of just letting the entire program fail.
Making Things Go Wrong . . . Your Way
As you ve seen, exceptions are raised automatically when something is wrong. Before looking at how to deal with those exceptions, let s take a look at how you can raise exceptions yourself and even create your own kinds of exceptions.
CHAPTER 8 EXCEPTIONS
The raise Statement
To raise an exception, you use the raise statement with an argument that is either a class (which should subclass Exception) or an instance. When using a class, an instance is created automatically Here is an example, using the built-in exception class Exception: >>> raise Exception Traceback (most recent call last): File "<stdin>", line 1, in Exception >>> raise Exception('hyperdrive overload') Traceback (most recent call last): File "<stdin>", line 1, in Exception: hyperdrive overload The first example, raise Exception, raises a generic exception with no information about what went wrong. In the last example, I added the error message hyperdrive overload. Many built-in classes are available. You can find a description of all of them in the Python Library Reference, in the section Built-in Exceptions. You can also explore them yourself with the interactive interpreter. You can find all the built-in exceptions in the module exceptions (as well as in the built-in namespace). To list the contents of a module, you can use the dir function, which is described in 10: >>> import exceptions >>> dir(exceptions) ['ArithmeticError', 'AssertionError', 'AttributeError', ...] In your interpreter, this list will be quite a lot longer; I ve deleted most of the names in the interest of brevity. All of these exception classes can be used in your raise statements: >>> raise ArithmeticError Traceback (most recent call last): File "<stdin>", line 1, in ArithmeticError Table 8-1 describes some of the most important built-in exception classes. Table 8-1. Some Built-in Exceptions
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