Struggled to decide if this was a romance novel gone wrong, a story of a struggling artist, a chronicle on how & where to fish or a satirical farce. If it was any of these, did not work for me. 1/4 of the book is a primer on fishing, the rest bounces off the walls, trying to hit something, failing. What a romp through the absurd this novel is. Much time spent in cold creeks with nasty lures and mucky wading boots. The author kind of made the painter into a weeble wobble, he kept being punched at yet came back for more and more . The plots kind of remind me of a tv show I watched a few times. "Justified", a show about bubba dudes and dudesses in Harlen County Kentucky, the characters are portrayed as intelligent dummies, much like this novel. The Painter offers shallow, silly women, dare I say "bimbo's". The "painter" himself is a hapless "psychopath" who romps through life with no self check ability. He supposedly never means any of the harm he manages to encounter, just happens, right. Not to ruin a plot twist/surprise, but at one point a bullet is fired into the night, from a hand gun, with no light, landing hundreds of yards away and claiming it's prey. Haha, right, "I shot an arrow in the sky". It's a quick read, especially when you can Evelyn Woods it through all the tedious fishing. Yes, I know, the fishing, and the painting, were meant to be symbolic, but, it is only symbolic if the reader cares, and, this one did not !
This decorator works by storing the time just before the function starts running (at the line marked # 1) and just after the function finishes (at # 2). The time the function takes is then the difference between the two (at # 3). We use the time.perf_counter() function, which does a good job of measuring time intervals. Here are some examples of timings:
Did you get it? We just applied the previously learned principles. This is exactly what the decorators do in Python! They wrap a function and modify its behaviour in one way or the another. Now you might be wondering that we did not use the @ anywhere in our code? That is just a short way of making up a decorated function. Here is how we could have run the previous code sample using @.
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Abstract painting uses a visual language of form, colour and line to create a composition that may exist with a degree of independence from visual references in the world.[29][30] Abstract expressionism was an American post-World War II art movement that combined the emotional intensity and self-denial of the German Expressionists with the anti-figurative aesthetic of the European abstract schools—such as Futurism, Bauhaus and Cubism, and the image of being rebellious, anarchic, highly idiosyncratic and, some feel, nihilistic.[31]


You saw that, to define a decorator, you typically define a function returning a wrapper function. The wrapper function uses *args and **kwargs to pass on arguments to the decorated function. If you want your decorator to also take arguments, you need to nest the wrapper function inside another function. In this case, you usually end up with three return statements.
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After 2.4a2 was released, in response to community reaction, Guido stated that he'd re-examine a community proposal, if the community could come up with a community consensus, a decent proposal, and an implementation. After an amazing number of posts, collecting a vast number of alternatives in the Python wiki [18], a community consensus emerged (below). Guido subsequently rejected [22] this alternate form, but added:
The decorate() proposal was that no new syntax be implemented -- instead a magic function that used introspection to manipulate the following function. Both Jp Calderone and Philip Eby produced implementations of functions that did this. Guido was pretty firmly against this -- with no new syntax, the magicness of a function like this is extremely high:
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