UPT | Ultimate Personality Test tells you your MBTI , Enneagram

If we check documentation, in the playing section, you can see that the paths are assigned from the root like this:

r"C:\Users\xxxxx\Downloads\stockfish_14_win_x64\stockfish_14_win_x64_avx2.exe"
or "/usr/bin/stockfish".

Although the engine you want to use is in the same folder where you run the program, the path may be obtained directly from the path where Python is installed, I would recommend using _, engine = await chess.engine.popen_uci(r''+os.path.join(os.getcwd(), 'engine')) instead.

You can group_by(participant), then create order_code by collapsing the first letter of each block_code:

You have a few errors in your code: Firstly for the insert, you have 6 separate inserts in your example. If you do this, they should be executed separately with semi-colons (;), but even better, you can just take the lists and separate them with commas with a single insert:

According to the docs, you just need to use argument to transfer the variable value:

Set application.oleserverbusytimeout = 0 to prevent that.

Check: https://hackfox.github.io/section4/s4g702.html

We can use req at the top and then use [[ to subset the dataset column based on the value from 'input$typetoshow'

The only correct approach is to instead use a parser, such as this one for Python. Which has many /examples ...

Offload the entire problem of "correctly handing the intricacies of the language itself" to this already existing and tested parser, instead of trying to use regular expressions to "create a sort-of parser, yourself." Which is a fool's errand.

Parsers work in various ways, but in essence they work by scanning the source-code to internally create an Abstract-Syntax Tree, or AST. Then, they allow you to explore that tree or to iterate over it through the use of so-called "visitors."

The tree itself is not "abstract." The term comes from the fact that its content is an abstraction of the source-code syntax, representing what the source-code says, not the actual text of it.

You can then create a "visitor" which will be invoked whenever the AST-node of interest is encountered during the "walk." This will be "the right place and time" to gather whatever information you need – but you don't have to be concerned about how you got there. That's the parser's job.

For example, you "visit" some node that corresponds to a typedef struct declaration. Child-nodes of this node will represent the abstracct essence of the structure that you are now looking at, no matter how it was written in the source-code text, which is long gone and by now completely irrelevant. The organization and content of those child nodes is known and can be relied upon. Parents of this node represent whatever "contains" this typedef. All of this heavy-lifting is done for you automagically by the parser.

Footnote: "This, of course, is how every language interpreter or compiler itself actually works on the front end." No doubt, this package was built using the official so-called "grammar" for the C99 language, which would also be used by every compiler for that language. The technology – including the method for constructing such parsers – is proven, fast, and efficient.

There are many subquestions not really related to the main question to fully answer each one of them. You also didn't specify whether you are looking for a particular vocabulary, or just for idea about transforming real-world entities into semantic triples. Let's say we are creating an ontology for the moment.

Process steps, amounts

A recipe is similar to a programming function: it has some ingredients (arguments) and steps (statements) to produce the result. You may want to describe them separately.

Splitting the selection seems to work...