Raise Value Error Python 3
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Import Valueerror
minute: Sign up Code changes from Python 2.6 to 3.x up vote 0 down vote favorite I am trying to get pywbem working in Python 3.2 (it works fine in 2.6) but the build fails on this part of code in
How Do We Raise User Defined Exception In Python
mof_compiler.py: File "pywbem-0.7.0\mof_compiler.py", line 1341 print s ^ SyntaxError: invalid syntax It's a macro, defined like this: def _print_logger(s): print s I don't understand why this is invalid, please explain how to do the same in Python 3.2. Note: I have little or no experience with Python. PS: I have already done some small changes to the code for 3.2 like changing except CIMError, ce: to except CIMError as ce: based on Lennart Regebro's answer here are some other changes I found (placing valueerror django them here since it may be useful for others). exec "import %s as lextab" % tabfile -> exec ("import %s as lextab" % tabfile) raise ValueError,"Expected a string" -> raise ValueError("Expected a string") python python-3.x share|improve this question edited Mar 31 '11 at 8:09 asked Mar 31 '11 at 7:53 Remko 4,71711640 add a comment| 3 Answers 3 active oldest votes up vote 6 down vote accepted That's not a macro, it's a function definition, and in Python 3 the print statement is now a function. So do print(s) instead. The list of changes between Python 2 and Python 3 is here: http://docs.python.org/release/3.0.1/whatsnew/3.0.html It's not so easy to read, but I don't know if there is a better one online (although books exist). If you are going to use Python 3, you would probably do good to get a Python 3 book. There are a couple of them out now. Or at least refer to the Python 3 documentation: http://docs.python.org/release/3.2/ It has a decent tutorial. share|improve this answer answered Mar 31 '11 at 7:57 Lennart Regebro 75k17134202 Thanks for the explanation! –Remko Mar 31 '11 at 8:05 add a comment| Did you find this question interesting? Try our newsletter Sign up for our newsletter and get our top new questions delivered to your inbox (see an example). Subscribed! Success! Please click the link in the confirmation email to activate your subscription. up vote 2 down vote One of the most visible changes i
a try statement with an except clause that mentions a particular class, that
Exception Valueerror
clause also handles any exception classes derived from that class syntax for generic except clause in python (but not exception classes from which it is derived). Two exception classes that are not an exception can be in python related via subclassing are never equivalent, even if they have the same name. The built-in exceptions listed below can be generated by the interpreter or built-in http://stackoverflow.com/questions/5496762/code-changes-from-python-2-6-to-3-x functions. Except where mentioned, they have an "associated value" indicating the detailed cause of the error. This may be a string or a tuple of several items of information (e.g., an error code and a string explaining the code). The associated value is usually passed as arguments to the exception class's constructor. https://docs.python.org/3/library/exceptions.html User code can raise built-in exceptions. This can be used to test an exception handler or to report an error condition "just like" the situation in which the interpreter raises the same exception; but beware that there is nothing to prevent user code from raising an inappropriate error. The built-in exception classes can be subclassed to define new exceptions; programmers are encouraged to derive new exceptions from the Exception class or one of its subclasses, and not from BaseException. More information on defining exceptions is available in the Python Tutorial under User-defined Exceptions. When raising (or re-raising) an exception in an except or finally clause __context__ is automatically set to the last exception caught; if the new exception is not handled the traceback that is eventually displayed will include the originating exception(s) and the final exception. When raising a new exception (rather than using a bare and VariablesOperatorsinput and raw_input via the keyboardConditional StatementsWhile LoopsFor LoopsFormatted outputOutput with PrintSequential Data TypesDictionariesSets and Frozen SetsShallow and Deep CopyFunctionsRecursion and http://www.python-course.eu/exception_handling.php Recursive FunctionsTests, DocTests, UnitTestsMemoization with DecoratorsPassing ArgumentsNamespacesGlobal vs. Local http://www.informit.com/articles/article.aspx?p=1328795&seqNum=6 VariablesFile ManagementModular Programming and ModulesIntroduction in Regular ExpressionsRegular Expressions, AdvancedLambda Operator, Filter, Reduce and MapList ComprehensionGeneratorsException HandlingObject Oriented ProgrammingInheritance ExampleSlotsClasses and Class CreationRoad to MetaclassesMetaclassesMetaclass Example: Count Function Calls Exception from the Rule "There are two great in python rules of life, the one general and the other particular. The first is that everyone can in the end, get what he wants, if he only tries. That is the general rule. The particular rule is that every individual is, more or less, an exception to the raise value error rule." Samuel Butler Delicate Handling "The finest qualities of our nature, like the bloom on fruits, can be preserved only by the most delicate handling. Yet we do not treat ourselves nor one another thus tenderly." Henry David Thoreau Supported by: Python Training Courses in Canada This topic in German / Deutsche Übersetzung: AusnahmebehandlungPython 2.7This tutorial deals with Python Version 2.7This chapter from our course is available in a version for Python3: Exception HandlingClassroom Training Courses This website contains a free and extensive online tutorial by Bernd Klein. If you are interested in an instructor-led classroom training in Canada or the US, you may have a look at the Python courses by Bernd Klein at Bodenseo © kabliczech - Fotolia.com Overview of Python courses by Bernd Klein. The Truth in Errors "The first step towards amendment i for Exceptions Integer Updates Iterables Everywhere Migration Tools Python 2.6 Conclusion References ⎙ Print + Share This Page 1 of 12 Next > Major revisions to any programming language are alarming, but Wesley J. Chun believes that Python 3.x brings real improvements to solve long-established problems. He points out some of the more interesting changes that obliterate design flaws and outdated functionality carried across from release to release, promising that you'll find Python 3 to be leaner, meaner, and more powerful than ever before. Like this article? We recommend Like this article? We recommend Core Python Programming, 2nd Edition Learn More Buy Like this article? We recommend Like this article? We recommend Core Python Programming, 2nd Edition Learn More Buy Introduction Python 3.0 represents an evolution of the language that will not execute most older code written against the 2.x interpreters. This doesn't mean that you won't recognize it any more, or that "major" porting is required to make old code work under 3.x. Believe it or not, the new syntax is quite similar to that of the past. However, when the print statement no longer exists, it's easy to "break" the old code. This article discusses print and other 3.x changes, and we'll shed some light on the "required evolution" that Python must undergo to be better than it used to be. Finally, we present a few migration tools that may help you in your transition to Python 3.x. 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