...ual, any of 3, 5 and 9 are valid results for #t. According to the manual, calling # on non-sequences is undefined. That means that any result (-1, 3, 3.14, 5, 9) is valid. – cubuspl42 May 12 '14 at 20:08 ...

...it close() statement is that you have to worry about people forgetting to call it at all or forgetting to place it in a finally block to prevent a resource leak when an exception occurs. To use the with statement, create a class with the following methods: def __enter__(self) def __exit__(self...

... Using -s option will print output of all functions, which may be too much. If you need particular output, the doc page you mentioned offers few suggestions: Insert assert False, "dumb assert to make PyTest print my stuff" at the end of your function, and you...

... use. The compiler generates a class for both lambda expressions and puts all variables in that class which are used in the lambda expressions. So in my example g and i are held in the same class for execution of my delegates. If g is a heavy object with a lot of resources left behind, the garbage...

...butes, the short answer is: no. The problem is that the attributes are actually defined as the arguments accepted by the getattr built-in function. As the user can reimplement __getattr__, suddenly allowing any kind of attribute, there is no possible generic way to generate that list. The dir functi...

... so are numerous, to list some of them: Support for descriptors. Specifically, the following constructs are made possible with descriptors: classmethod: A method that receives the class as an implicit argument instead of the instance. staticmethod: A method that does not receive the implicit ar...

... It seems that you actually haven't executed your query. Try following: return jsonify(json_list = qryresult.all()) [Edit]: Problem with jsonify is, that usually the objects cannot be jsonified automatically. Even Python's datetime fails ;) Wha...

... The name scrambling is used to ensure that subclasses don't accidentally override the private methods and attributes of their superclasses. It's not designed to prevent deliberate access from outside. For example: >>> class Foo(object): ... def __init__(self): ... self....

...se of teaching, into four categories: Keywords/reserved symbols Automatically imported methods Common methods Syntactic sugars/composition It is fortunate, then, that most categories are represented in the question: -> // Automatically imported method ||= // Syntactic sugar ++= // Syn...

... Explanation: People coming from a C++/Java background are especially prone to overusing/misusing this "feature". But __private names don't work the same way as in Java or C++. They just trigger a name mangling whose purpose is to prevent accidental namespace collisions in subclasses...