mario | Powerful Python pipelines for your shell | Command Line Interface library

From language lawyer's point of view an UB happens here:

According to the code of SU(), the content inside the JSON file (also the content of players) should be something like below:

One tip is to check tests for most up-to-date usage, for example, tests/run/enum-Option1.scala

The Scala version is specified in the build.sbt file so SBT will download the appropriate version of Scala as necessary.

I personally use SDKMAN! to install Java and then SBT.

Please try the following solution.

The SQL below is using two aliases: p(arent) and c(hild).

When generating nested XML, parent and child data sets are joined via WHERE clause.

SQL

Note that what you have implemented is a regular box filter, not stackblur (which uses a triangle filter). Also, filtering twice with a box of radius R is equivalent to filtering once with a triangle of radius 2*R, which explains why you get the expected result when running blur_horiz twice.

You can try the following approach:

A good real-world analogy is tricky here, but suppose you have a cement delivery service. You delivered, to some customer, 1000 cubic yards of cement, which have now set. Your customer calls you up and says they did not want that much cement: they only wanted ten cubic yards. So you have your trucks deliver them another 10 yards of cement. Did you improve their situation, or just make it worse?

Now, the reason for the above analogy is simple enough: Git commits only ever add new stuff to the repository. If you put a giant file into some commit, that giant file is in that commit forever. If someone didn't want that giant file, and you make a new commit that lacks the giant file, well, now you have two commits: one with the giant file, and one without. The second commit depends on, and therefore requires, the first commit.

No matter what else you do, if you keep adding on new commits, you're just making everything worse. What you need is not more cement (er, commits). You need some kind of jackhammer and cement-removal service (something to remove commits from your repository).

That's not all, though! While we already see that listing a file in .gitignore has no effect on any existing commit—no existing commit can ever be changed, at all; you just have to get them hauled away and stop using them entirely to get rid of them—it also has no good effect on new commits, at least not yet. If a file is tracked, it has no effect on that file in future commits either.

So:

• Your first job is to remove some commit(s). We generally do this with git reset. The git reset command is destructive! Be very careful here: you probably should work on a clone of your repository, rather than the original.

• Then, having removed the bad commit(s), you may need to explicitly remove the large files, so that they are no longer tracked. A file is tracked, in Git, if the file is in Git's index. How do you know if a file is in Git's index? Well, you know because it's tracked. This is kind of a circular problem, as you can see. :-) But if you definitely want it not-tracked, you can run:

First off, it's important to know why you're missing data, and to see if you can possibly impute rather than just drop.

If you still want to drop, you can use df = df.dropna(how='any').

The reason why Excel shows "N/A" as the value for missing data is because that's Excel's way of showing missing data. It doesn't mean that the value of the cell that is missing data is N/A--that would be a string containing an N, a slash, and an A. Instead, you can try df = df[~df['Year'].isnull()] as an alternative method for selecting non-null values.