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Magic numbers are special value of certain variables which causes the program to behave in an special manner Databricks adds # magic in front of every python notebook line asked 3 years, 5 months ago modified 2 years, 8 months ago viewed 5k times Mushrooms that contain psilocybin can be found almost anywhere in the world.

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Discuss magic mushrooms and other hallucinogens, get cultivation advice, and learn about the psychedelic experience Tar:invalid magic, tar:short read asked 4 years, 9 months ago modified 4 years, 9 months ago viewed 21k times A wide range of other forums too.

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The second value val2 is a column So the values in the in list are the values in which val1 and val2 have to match So val1 must equal input1, and val2 must equal input 2 Since the val1 and input1 are hardcoded to 'magic', then we can just treat this like a normal in list, but with a limit of 100,000 rather than 1,000.

The idea for this question came from an earlier question with a similar title (do jupyter magic commands work on vs code?) where the actual problem was unrelated I'm not genuinely asking, this is just a likely scenario that could lead a vscode beginner to ask the same question, similar to a canonical. With mock you can mock magic methods but you have to define them Magicmock has default implementations of most of the magic methods.

If you don't need to test any magic methods, mock is adequate and doesn't bring a lot of extraneous things into your tests

If you need to test a lot of magic methods magicmock will save you some time. %matplotlib is a magic function in ipython I'll quote the relevant documentation here for you to read for convenience Ipython has a set of predefined ‘magic functions’ that you can call with a command line style syntax