Pacman | Software Agents Pacman project , implementing AI | Artificial Intelligence library

It's worth reviewing what's actually happening. The ggtext function attempts to parse the labels using tags and the blockquote tag (>) is not supported. So we need some way to escape the tag. I couldn't find a documented way.

It's a bit of a hack, but I've added a zero width space unicode character (\u200B) before the > to break the tag:

I use Manjaro (Arch based). I also cannot use the command "pacman" for AUR. I need to use the command "sudo pamac install " to download packages from the AUR.

There are 2 issues:

1. The intention_column and intention_line depends on the current colume and line instead of the previous intention_column and intention_line. intention_column and intention_line are incremented even if there is a wall. colume and line however are only incremented if the movement is possible:

I've finally made it work. The guys from the XMonad repo really helped, you can check out their help in this issue.

Roughly, what I did was:

1. Delete everything Haskell-related from my system.
   • Do this one carefully, use a lot of finds with the words haskell, stack, ghc, cabal, etc. Don't forget to use pacman -Rns and pacman -Q to uninstall everything that come from there first.
   • As some other users mentioned, you should absolutely not manage Haskell packages with both Pacman/AUR and Stack/Cabal. Choose one system and stick to it. Stack is probably the recommended one.
2. Install Stack directly with the script on its documentation.
3. Install GHC, XMonad, and XMonad-Contrib through Stack.
4. Create a build script for compiling XMonad with Stack:

Removing the npm package first and then deleting node_modules directory is a workaround that I used to make this work. However, I am not sure if that is the right solution. You can do something like this before you do a full update and then install the npm back again.

The error is cause by your text data contain 3 json with different structure so when mapped with map_dfr they resulted in 3 df with slightly different structure that map_dfr couldn't combine them. In this case the responses column in the 1st json string is character while 2nd json responses is a list

These are not suitable places to use lapply. The functions just take the data frames as inputs, so you can just use the functions. For example:

[[ ... ]] without a specified test runs [[ -n ... ]]. In this case, it tests whether the captured output is non-empty. But if you redirect everything to /dev/null, the output is indeed empty!

You don't need to capture the output. which should already return a non-zero status when it cannot find the file to execute.

Solution was to set: