after-install | Scripts to automate common tasks after a fresh OS install | Automation library

Figured out the problem, taking a look at this answer. After converting to LaTeX, I decided to generate the PDF from TeXworks. This displayed a more verbose error than the terminal one, and now that I had line numbers, I discovered at 477 an image formatted like so

Did you run this code from the terminal or from some python interface? I am assuming this error has to do with the graphic interface.

You need to say (use-package :iterate) before you try to refer to unqualified symbols from the iterate package.

What has happened in your case is this.

1. You've loaded the iterate system into the running Lisp, creating a package called "ITERATE".
2. In the "CL-USER" package you've typed (iterate ...), and the reader has worked out that it needs to find or create a symbol whose name is "ITERATE" and which is accessible in the "CL-USER" package.
3. There is no such symbol, so it creates a new one, CL-USER::ITERATE.
4. This is not ITERATE:ITERATE so you get an error from the evaluator as it's trying to evaluate the arguments to a function (which doesn't exist, but it doesn't know that yet). In fact the error you're getting is while it's evaluating the first argument in the (for i ...) subform.
5. Now you say (use-package :iterate) to tell the system to add the "ITERATE" package to "CL-USER"'s search list.
6. Now there's a conflict: should iterate refer to the existing CL-USER::ITERATE or the newly-accessible ITERATE::ITERATE? (And there are some other conflicts too, probably).
7. So the system signals an error, and there should be some useful ways to proceed from that, one of which is probably 'unintern all the conflicting "CL-USER" symbols', but you didn't take that option, I suppose.
8. So now everything is messed up.

And the answer is: use the packages you want to refer to unqualified symbols from before you try to refer to those symbols unqualified.

(Also: Windows XP? I'm impressed by your retroness.)

I imagine it is probably possible to get a conda-installed pytorch to use a non-conda-installed CUDA toolkit. I don't know how to do it, and in my experience, when using conda packages that depend on CUDA, its much easier just to provide a conda-installed CUDA toolkit, and let it use that, rather than anything else. This often means I have one CUDA toolkit installed inside conda, and one installed in the usual location.

However, regardless of how you install pytorch, if you install a binary package (e.g. via conda), that version of pytorch will depend on a specific version of CUDA (that it was compiled against, e.g. 10.2) and you cannot use any other version of CUDA, regardless of how or where it is installed, to satisfy that dependency.

I suggest that you could use InstallShield to realize the automatic operation of the program after installation.

The method of implementation is: In the OnEnd() function of the InstallScript script, call the executable program.

Note: The INSTALLDIR predefined variable stores the installation directory of the program.

You could refer to the following example.

This happened because GitVersion version is also used and electron-builder passes the FullSemVer variable to the fpm command using the --iteration argument. When the branch being built had a semantically appropriate tag, (example: 1.2.3) the FullSemVer looked like 1.2.3.0. However if the branch didn't have such a tag it looked like 1.2.3-beta.1+1 and the rpm build failed because of illegal characters.

To fix this I hardcoded the iteration argument into the electron.manifest.json

According to the documentation you should not do this.

You cannot simply add an ampersand (&) in after-install.sh to run sleep.sh in the background.

If the below was your hook file

I ran into a comparable problem (this is the furthest i got) reproducibly on two machines. Some of the discussed issues seems to be known for example here: 1 2 3 4. Not only to reproduce 2, it makes sense to also start using virtual environments in order to test multiple tf versions. This can be achieved like this: (link for virtualenv on windows)

share your code is more efficient :)

https://github.com/oblador/react-native-keychain/issues/351#issuecomment-640788608

Try this : compileSdkVersion = 29