raco | based optimization framework for relational algebra | Machine Learning library

As mentioned in the comments, there are many ways you can parse the information from the string. You can walk a pair of pointers down the string, testing each character and taking the appropriate action, you can use strtok(), but note strtok() modifies the original string, so it cannot be used on a string-literal, you can use sscanf() to parse the values from the string, or you can use any combination of strcspn(), strspn(), strchr(), etc. and then manually copy each field between a start and end pointer.

However, your question also imposes "I would like to keep this as simple as possible..." and that points directly to sscanf(). You simply need to validate the return and you are done. For example, you could do:

This is an unfortunate stale compiled file issue. Try raco setup --pkgs racklog to compile racklog and run your program again. It should now work. Alternatively, you can manually delete the compiled directories.

Add racket and raco to your Windows PATH (the directories in which Windows looks for commands).

https://beautifulracket.com/setting-the-windows-path.html

I think I know what you're talking about: You're looking for something like the multiple rows in x axes that Excel PivotCharts give when you split your data multiple ways, right? I don't know of a way to do this in R without a lot of hacky workarounds. Instead, have you considered using small multiples to represent your data? Here's an example of small multiples for your data, still using ggplot2. I have also removed the extra space between the 0 and the horizontal axis using expand = within the scale_y_continuous call.

Data I used:

read -p "prompt" does not interpret escapes from the prompt string.

Although, a string literal can express control characters with escaping, if it uses the POSIX candidate ANSI-C style string syntax of: $'I am an ANSI-C style string\nin a shell script\n'

This type of string can be used for a Bash read -p prompt string as:

There is a partial solution using a combination of raco distribute and define-runtime-path.

Suppose you have a program that uses libzmq, which you know is installed on your build system at /usr/lib/x86_64-linux-gnu/libzmq.so.5. You can use define-runtime-path to create a reference to that file and tell raco distribute to copy it to the distribution directory. For example, suppose that "my-app.rkt" is the following:

This is an interesting question, and you may want to ask it on the Racket mailing list or Slack.

My recommendation is to assume that in most cases you must install a package to test it, especially if it contains multiple collections. In particular, I recommend assuming that requiring a module in another collection should always use an absolute module path instead of a relative path, even if they're in the same package. I was surprised that this doesn't seem to be enforced (based on one small test I did), but I wouldn't rely on the current lax behavior. I doubt Scribble can handle relative module names (but I haven't checked), so if your definition of "testing" includes building and checking the docs, that's another reason installation would be needed.

The iracket install command needs to run the jupyter.exe command to find the directory where Jupyter kernels are stored. So you need to find where pip installed jupyter.exe and then add the directory containing jupyter.exe to your PATH, or you need to run the iracket install script with raco iracket install --jupypter-exe path-to-jupyter.exe.

The problem is that you only install collections-lib. This does not include its documentation which lives at collections-doc.

So either install the package collections-doc or the (meta-)package collections which will include both collections-lib and collections-doc. Then, run raco setup relation to re-render your documentation. This would suffice for your own builds.

You probably should also modify info.rkt so that other people who install your package download the desired dependencies. There are a couple of ways to set this up.

• An easy way is to put collections in deps, which will require users to install the meta-package collections, hence installing both collections-lib and collections-doc.
• A more difficult way is put collections-lib in deps (you did this already) and put collections-doc in build-deps. An advantage of this approach is that users won't be required to download all tools necessary for building documentation if they install your package as a binary package (which will pre-renders the documentation already).