graphics | 一些图形系统相关的小例子

Perhaps my failed attempts will help someone else solve this problem; my approach:

• boot up a clean CentOS 7 vm
• install R and some dependencies

Currently (2022-02-05), CRAN builds R binaries for Apple silicon using Apple clang (from Command Line Tools for Xcode 12.4) and an experimental build of gfortran.

If you obtain R from CRAN (i.e., here), then you need to replicate CRAN's compiler setup on your system before building R packages that contain C/C++/Fortran code from their sources (and before using Rcpp, etc.). This requirement ensures that your package builds are compatible with R itself.

A further complication is the fact that Apple clang doesn't support OpenMP, so you need to do even more work to compile programs that make use of multithreading. You could circumvent the issue by building R itself and all R packages from sources with LLVM clang, which does support OpenMP, but this approach is onerous and "for experts only". There is another approach that has been tested by a few people, including Simon Urbanek, the maintainer of R for macOS. It is experimental and also "for experts only", but seems to work on my machine and is simpler than trying to build R yourself.

Warning: These instructions come with no warranty and could break at any time. They assume some level of familiarity with C/C++/Fortran program compilation, Makefile syntax, and Unix shells. As usual, sudo at your own risk.

I will try to address compilers and OpenMP support at the same time. I am going to assume that you are starting from nothing. Feel free to skip steps you've already taken, though you might find a fresh start helpful.

I've tested these instructions on a machine running Big Sur, and at least one person has tested them on a machine running Monterey. I would be glad to hear from others.

1. Download an R binary from CRAN here and install. Be sure to select the binary built for Apple silicon.

2. Run

While I don't know the exact cause of this, it has to do with environments, search path, etc. For instance, these work:

I think you might be slightly overcomplicating things. Ideally, you'd just want a single key drawing method for the whole layer. However, because you're using a Stat to do the majority of calculations, this becomes hairy to implement. In my answer, I'm avoiding this.

Let's say I'd want to use a geom-only implementation of such a layer. I can make the following (simplified) class/constructor pair. Below, I haven't bothered width_scale or height_scale parameters, just for simplicity.

Since you mention executing the same files (with proper performance) from within Git Bash, I'm going to make an assumption here. Correct me if I'm wrong on this, and I'll delete the answer and look for another possibility.

This would be explained (and expected) if your files are stored on /mnt/c (a.k.a. C:, or /C under Git Bash) or any other Windows drive, as they would likely need to be to be accessed by Git Bash.

WSL2 uses the 9P protocol to access Windows drives, and it is currently known to be very slow when compared to:

• Native NTFS (obviously)
• The ext4 filesystem on the virtual disk used by WSL2
• And even the performance of WSL1 with Windows drives

I've seen a git clone of a large repo (the WSL2 Linux kernel Github) take 8 minutes on WSL2 on a Windows drive, but only seconds on the root filesystem.

Two possibilities:

• If possible (and it is for most Node projects), convert your WSL to version 1 with wsl --set-version 1. I always recommend making a backup with wsl --export first.

  And since you are making a backup anyway, you may as well just create a copy of the instance by wsl --importing your backup as --version 1 (as the last argument). WSL1 and WSL2 both have their uses, and you may find it helpful to keep both around.

  See this answer for more details on the exact syntax..

• Or just move the project over to somewhere under the WSL root, such as /home/username/src/.

I just needed an event loop. I added this code and it worked:

I reinstalled reportlab with this command:

Update: These issues have been fixed, and a patched version of jdeps is available as part of the early access build for JDK 18 at: http://jdk.java.net/18/ (starting from build 26)

Turning my comments into an answer. There seem to be 3 bugs going on here:

1. The MultiReleaseException seems to be because jdeps can not handle classes in different jars that have the same name, such as module-info.class, but are stored in a different META-INF/versions/xxx directory. (JDK-8277165)
2. The fact that this exception is sometimes suddenly not occuring seems to be the result of a race condition in the code that checks for the above; classes of the same name having multiple versions. (JDK-8277166)
3. The MultiReleaseException is missing it's exception message since it's thrown as part of an asynchronous task, which wraps it in an ExecutionException, which then leads to jdeps not reporting the exception correctly. (JDK-8277123)

As for a workaround, I don't think there's a good one at this point, except maybe for editing all the jars on the class path so that they put the module-info.class in the same META-INF/versions/xxx directory (but, this might have other consequences as well, so you probably don't want to run with the edited jars, and only use them for jdeps).

For a while I was looking for a similar problem in reviews of popular live wallpapers. I found similar reviews only for one application. I updated my phone today. All my live wallpapers stopped working as expected. Then I installed "Earth & Moon" and this app works fine. It means that we are doing something wrong or, on the contrary, we are not doing something :) In the near future I will begin to investigate this problem.