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    <p>There are two ways of doing it. The object-oriented way is to make a class:</p> <pre><code>class max_execs: def __init__(self, max_executions): self.max_executions = max_executions self.executions = 0 def __call__(self, func): @wraps(func) def maybe(*args, **kwargs): if self.executions &lt; self.max_executions: self.executions += 1 return func(*args, **kwargs) else: print "fail" return maybe </code></pre> <p>See <a href="https://stackoverflow.com/questions/308999/what-does-functools-wraps-do">this question</a> for an explanation of <code>wraps</code>.</p> <p>I prefer the above OOP approach for this kind of decorator, since you've basically got a private count variable tracking the number of executions. However, the other approach is to use a closure, such as</p> <pre><code>def max_execs(max_executions): executions = [0] def actual_decorator(func): @wraps(func) def maybe(*args, **kwargs): if executions[0] &lt; max_executions: executions[0] += 1 return func(*args, **kwargs) else: print "fail" return maybe return actual_decorator </code></pre> <p>This involved three functions. The <code>max_execs</code> function is given a parameter for the number of executions and returns a decorator that will restrict you to that many calls. That function, the <code>actual_decorator</code>, does the same thing as our <code>__call__</code> method in the OOP example. The only weirdness is that since we don't have a class with private variables, we need to mutate the <code>executions</code> variable which is in the outer scope of our closure. Python 3.0 supports this with the <code>nonlocal</code> statement, but in Python 2.6 or earlier, we need to wrap our executions count in a list so that it can be mutated.</p>
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    1. POHow are these type of python decorators written?
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    1. USEli Courtwright
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    1. COif for example a method with the @logged attribute means method = logged(method) , how is a method with a @max_execs(5) "translated"?
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    2. COIt's the same as saying max_execs(5)(f)
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