The .__init__() method must store a reference to the function and can do any other necessary initialization. The .__call__() method will be called instead of the decorated function. It does essentially the same thing as the wrapper() function in our earlier examples. Note that you need to use the functools.update_wrapper() function instead of @functools.wraps.
And for the more subtle decorators, there a slew of super-cute displays that are much more low-key. Check out these meddling mice, a simple trick or treat text, or this tribute to Edgar Allan Poe. — Jennifer Aldrich, Country Living, "These Halloween Stair Decals Will Instantly Transform Your Home Into a Haunted House," 7 Oct. 2018 Another fun tidbit for all of you aspiring IRL dorm decorators, Hailey painted all the art featured in her freshman dorm — now, that’s the perfect personal touch. — Katelyn Chef, Teen Vogue, "University of Mississippi Dorm Decor," 23 Aug. 2018 We reporters and bloggers eat family style, at a long table chosen and donated by Rachael Ray (and her decorator). — Grant Cornett, Vogue, "The Rise of Refugee Cuisine—a Food-World Trend to Feel Good About," 17 Aug. 2018 The social media sensation has forced some decorators to think outside the box and get creative with non-edible decorations. — Caroline Judelson, Fox News, "Engagement cookies are the new bridal trend," 9 Aug. 2018 The project took Kime two years, during which time decorator and client became close friends. — David Usborne, Town & Country, "The Mysterious Case of the Parnham House Fire," 29 May 2018 The look, which also can be seen in her other homes, reflects the influence of Gail Melikian, Ms. Rafaelian’s best friend and decorator who owns an antique store in Cranston. — Candace Taylor, WSJ, "Inside the Many, Many Homes of This Jewelry Billionaire," 12 July 2018 Naturally, faux fur also appeals to home decorators who want to stay animal-friendly. — Kelsey Kloss, ELLE Decor, "How To Decorate With Faux Fur, According To Top Designers," 7 Sep. 2016 The 11,821 square feet of living space was designed by former White House decorator Michael Smith and features reclaimed fireplace mantels, hand-hewn hardwood floors and custom ironwork. — Jack Flemming, latimes.com, "Mega-producer Jerry Bruckheimer pulls in $11.5 million for Brentwood estate," 16 June 2018
Just take a look at the code again. In the if/else clause we are returning greet and welcome, not greet() and welcome(). Why is that? It’s because when you put a pair of parentheses after it, the function gets executed; whereas if you don’t put parenthesis after it, then it can be passed around and can be assigned to other variables without executing it. Did you get it? Let me explain it in a little bit more detail. When we write a = hi(), hi() gets executed and because the name is yasoob by default, the function greet is returned. If we change the statement to a = hi(name = "ali") then the welcome function will be returned. We can also do print hi()() which outputs now you are in the greet() function.
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Syntactic constraints. Python is a syntactically simple language with fairly strong constraints on what can and can't be done without "messing things up" (both visually and with regards to the language parser). There's no obvious way to structure this information so that people new to the concept will think, "Oh yeah, I know what you're doing." The best that seems possible is to keep new users from creating a wildly incorrect mental model of what the syntax means.
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There is some history in Java using @ initially as a marker in Javadoc comments  and later in Java 1.5 for annotations , which are similar to Python decorators. The fact that @ was previously unused as a token in Python also means it's clear there is no possibility of such code being parsed by an earlier version of Python, leading to possibly subtle semantic bugs. It also means that ambiguity of what is a decorator and what isn't is removed. That said, @ is still a fairly arbitrary choice. Some have suggested using | instead.
Water miscible oil paints (also called "water soluble" or "water-mixable") is a modern variety of oil paint engineered to be thinned and cleaned up with water, rather than having to use chemicals such as turpentine. It can be mixed and applied using the same techniques as traditional oil-based paint, but while still wet it can be effectively removed from brushes, palettes, and rags with ordinary soap and water. Its water solubility comes from the use of an oil medium in which one end of the molecule has been altered to bind loosely to water molecules, as in a solution.
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 @.
This code works for our purposes but it’s not exactly dynamic. If we wanted our initial simpleMsg object to sometimes act excited and sometimes quizzical, we could only do so by instantiating entirely new objects from the relevant subclass. Moreover, the ExcitedAndQuizzicalMessage is really just a combination of ExcitedMessage and QuizzicalMessage and probably shouldn’t have its own class. To fix these problems, let’s now return to the decorator pattern and see how it might help us.
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