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Functions and methods in Python can pass and receive arguments in two forms: positional arguments, where the meaning is determined by the order in which the arguments are passed, and keyword arguments, whose names are included directly with the values. This corresponds quite neatly to Python s built-in list and dictionary types, and so two shortcuts are provided to make argument passing easier. Passing a list as an argument and prefixing it with a single asterisk (*) will cause each item of the list, in order, to be used as a separate positional argument. Passing a dictionary and prefixing it with two asterisks (**) will cause the keys of the dictionary to be used as names for separate keyword arguments and the dictionary s values to become the values of these arguments.

The Configuration acts like a secret token, which cannot be obtained through an API So, this solution is completely safe and secure..

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We used to face similar issues with the NetBeans APIs. We had our own homemade read/write lock called the Mutex, whose methods took Runnable and could execute them in read or write mode. This worked fine. However, we found that in some situations the high number of newly created runnables impacted performance. We considered adding the following typical methods: lock.enterReadAccess(); try { // do the operation } finally { lock.exitReadAccess(); } However, we were afraid that this could allow malicious code to forget to release acquired locks, thus breaking the consistency of the whole subsystem coordinated with such a lock. But we were sure that our own code would contain no such bugs, so we decided to use the privileged creator pattern. We kept the original signatures of Mutex that only worked with Runnable, but added a Mutex. Privileged static inner class that had the enter and exit methods and supported the more efficient enter/try/perform/finally/exit lock access. We added a new constructor to Mutex to take the Mutex.Privileged instance: private static final Mutex.Privileged PRIVILEGED = new Mutex.Privileged(); public static final Mutex MUTEX = new Mutex(PRIVILEGED); Now, any creator of a public Mutex can create a back door giving its code a faster but more error prone access to synchronization, while ensuring that nonprivileged code isn t able to maliciously spoil the consistency of locking.

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Although Java doesn t have a special access modifier for the creator of objects, it s possible to create an API that ensures such a contract. There are many solutions, ranging from the simplest and ugliest to the most complex and elegant. The most promising option, in my opinion, is to have two classes: one giving privileged access to the creator and the other providing a public API for common use.

When a Python function needs to accept arbitrary sets of optional arguments, or to accept many different arguments based on different situations, it s common to define it like so: def my_func(*args, **kwargs): The function will then have access to a list named args containing all the positional arguments passed to it and a dictionary named kwargs containing all the keyword arguments passed to it. The function can then look at those variables to work out what it needs to do. This is how the Django ORM is able to accept lookup arguments based on your model s fields. Its methods don t have fixed argument signatures, and instead accept arbitrary sets of keyword arguments defined as **kwargs, and then look at those arguments to work out which fields to query on.

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