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Python Raise Custom Exception

Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation python exception class Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 6.2 million programmers, just python raise valueerror like you, helping each other. Join them; it only takes a minute: Sign up Proper way to declare custom exceptions in modern Python? up vote 595 down vote favorite 158 What's the proper way to declare custom

Syntax For Generic Except Clause In Python

exception classes in modern Python? My primary goal is to follow whatever standard other exception classes have, so that (for instance) any extra string I include in the exception is printed out by whatever tool caught the exception. By "modern Python" I mean something that will run in Python 2.5 but be 'correct' for the Python 2.6 and Python 3.* way of doing things. And by "custom" I mean an Exception object that can include

Python Exception Message

extra data about the cause of the error: a string, maybe also some other arbitrary object relevant to the exception. I was tripped up by the following deprecation warning in Python 2.6.2: >>> class MyError(Exception): ... def __init__(self, message): ... self.message = message ... >>> MyError("foo") _sandbox.py:3: DeprecationWarning: BaseException.message has been deprecated as of Python 2.6 It seems crazy that BaseException has a special meaning for attributes named message. I gather from PEP-352 that attribute did have a special meaning in 2.5 they're trying to deprecate away, so I guess that name (and that one alone) is now forbidden? Ugh. I'm also fuzzily aware that Exception has some magic parameter args, but I've never known how to use it. Nor am I sure it's the right way to do things going forward; a lot of the discussion I found online suggested they were trying to do away with args in Python 3. Update: two answers have suggested overriding __init__, and __str__/__unicode__/__repr__. That seems like a lot of typing, is it necessary? python exception share|improve this question edited Jun 5 '12 at 20:37 Eitan T 27.9k113978 asked Aug 23 '09 at 21:29 Nelson 6,43532027 2 *args (or *foo, or *whatever, all that matters is that it has the star in front) is for functions that have an indefinite number of positional arguments. S

you have probably seen some. There are (at least) two distinguishable kinds of errors: syntax errors and exceptions. 8.1. Syntax Errors¶ Syntax errors, also known as parsing errors, are perhaps the most common kind of syntax for raise clause in python complaint you get while you are still learning Python: >>> while True print('Hello world') File

Python Raise Exception With Message

"", line 1 while True print('Hello world') ^ SyntaxError: invalid syntax The parser repeats the offending line and displays a little ‘arrow' python custom exception best practices pointing at the earliest point in the line where the error was detected. The error is caused by (or at least detected at) the token preceding the arrow: in the example, the error is detected at http://stackoverflow.com/questions/1319615/proper-way-to-declare-custom-exceptions-in-modern-python the function print(), since a colon (':') is missing before it. File name and line number are printed so you know where to look in case the input came from a script. 8.2. Exceptions¶ Even if a statement or expression is syntactically correct, it may cause an error when an attempt is made to execute it. Errors detected during execution are called exceptions and are not unconditionally fatal: you will soon learn https://docs.python.org/3/tutorial/errors.html how to handle them in Python programs. Most exceptions are not handled by programs, however, and result in error messages as shown here: >>> 10 * (1/0) Traceback (most recent call last): File "", line 1, in ZeroDivisionError: division by zero >>> 4 + spam*3 Traceback (most recent call last): File "", line 1, in NameError: name 'spam' is not defined >>> '2' + 2 Traceback (most recent call last): File "", line 1, in TypeError: Can't convert 'int' object to str implicitly The last line of the error message indicates what happened. Exceptions come in different types, and the type is printed as part of the message: the types in the example are ZeroDivisionError, NameError and TypeError. The string printed as the exception type is the name of the built-in exception that occurred. This is true for all built-in exceptions, but need not be true for user-defined exceptions (although it is a useful convention). Standard exception names are built-in identifiers (not reserved keywords). The rest of the line provides detail based on the type of exception and what caused it. The preceding part of the error message shows the context where the exception happened, in the form of a stack traceback. In general it contains a stack traceback listing source lines;

output an error when something in it goes wrong. However, sometimes you may need to create custom http://www.programiz.com/python-programming/user-defined-exception exceptions that serves your purpose. In Python, users can define such https://en.wikibooks.org/wiki/Python_Programming/Exceptions exceptions by creating a new class. This exception class has to be derived, either directly or indirectly, from Exception class. Most of the built-in exceptions are also derived form this class. >>> class CustomError(Exception): ... pass ... >>> raise CustomError Traceback (most recent call last): ... __main__.CustomError python raise >>> raise CustomError("An error occurred") Traceback (most recent call last): ... __main__.CustomError: An error occurred Here, we have created a user-defined exception called CustomError which is derived from the Exception class. This new exception can be raised, like other exceptions, using the raise statement with an optional error message. When we are developing a large Python program, it is clause in python a good practice to place all the user-defined exceptions that our program raises in a separate file. Many standard modules do this. They define their exceptions separately as exceptions.py or errors.py (generally but not always). User-defined exception class can implement everything a normal class can do, but we generally make them simple and concise. Most implementations declare a custom base class and derive others exception classes from this base class. This concept is made clearer in the following example. Example: User-Defined Exception in Python In this example, we will illustrate how user-defined exceptions can be used in a program to raise and catch errors. This program will ask the user to enter a number until they guess a stored number correctly. To help them figure it out, hint is provided whether their guess is greater than or less than the stored number. # define Python user-defined exceptions class Error(Exception): """Base class for other exceptions""" pass class ValueTooSmallError(Error): """Raised when the input value is too small""" pass class Value

is a signal that an error or other unusual condition has occurred. There are a number of built-in exceptions, which indicate conditions like reading past the end of a file, or dividing by zero. You can also define your own exceptions. Contents 1 Raising exceptions 2 Catching exceptions 2.1 Custom Exceptions 2.2 Trying over and over again 3 Recovering and continuing with finally 4 Built-in exception classes 5 Exotic uses of exceptions Raising exceptions[edit] Whenever your program attempts to do something erroneous or meaningless, Python raises exception to such conduct: >>> 1 / 0 Traceback (most recent call last): File "", line 1, in ? ZeroDivisionError: integer division or modulo by zero This traceback indicates that the ZeroDivisionError exception is being raised. This is a built-in exception -- see below for a list of all the other ones. Catching exceptions[edit] In order to handle errors, you can set up exception handling blocks in your code. The keywords try and except are used to catch exceptions. When an error occurs within the try block, Python looks for a matching except block to handle it. If there is one, execution jumps there. If you execute this code: try: print 1/0 except ZeroDivisionError: print "You can't divide by zero, you're silly." Then Python will print this: You can't divide by zero, you're silly. If you don't specify an exception type on the except line, it will cheerfully catch all exceptions. This is generally a bad idea in production code, since it means your program will blissfully ignore unexpected errors as well as ones which the except block is actually prepared to handle. Exceptions can propagate up the call stack: def f(x): return g(x) + 1 def g(x): if x < 0: raise ValueError, "I can't cope with a negative number here." else: return 5 try: print f(-6) except

 

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