stats | 📊 Request statistics middleware that stores response times | Runtime Evironment library

After the build has failed go to AndroidManifest.xml and in the bottom click merged manifest see which activities which have intent-filter but don't have exported=true attribute. Or you can just get the activities which are giving error.

Add these activities to your App manifest with android:exported="true" and app tools:node="merge" this will add exported attribute to the activities giving error.

Example:

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

there are a few symptoms I would like to suggest looking into:

1. There is a WARNING in your error log SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. You have MANIFEST.in, setup.py and setup.cfg probably conflicting between them. Because setup.py is the build script for setuptools. It tells setuptools about your package (such as the name and version) as well as which code files to include. Also, An existing generated MANIFEST will be regenerated without sdist comparing its modification time to the one of MANIFEST.in or setup.py, as explained here.

Please refer to Building and Distributing Packages with Setuptools, also Configuring setup() using setup.cfg files and Quickstart for more information

1. Maybe not so important, but another thing worth looking into is the fact that there are 2 different python distributions being used at different stages, as Python 3.10 is used at: Using pip 22.0.2 from $PREFIX/lib/python3.10/site-packages/pip (python 3.10) (it is also in your conda dependencies) and Python 3.8 is used at: File "/Users/jespinoz/anaconda3/lib/python3.8/site-packages/conda_build/tarcheck.py", line 53, in info_files raise Exception('info/files') which is where the error happens. So maybe another configuration conflict related to this.

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.

Rename your print() function, first you're using the built-in function name print which is bad style, secondly then you make a recursive call to print() inside print() (and I'm sure you meant to call the actual built-in print() inside function's body).

Second, use collection.namedtuple class to implement actual type of tuple, like following:

Also type annotations are not needed.

Try it online!

As has been commented, There seems to be an issue with flexdashboard in R 4.1. It does work (on MacOS) with R 3.6. I'd suggest filing an issue on their GitHub repo.

Besides downgrading R, you could also "automatically" zoom in at the beginning and use flyTo() instead of setView().

Both solutions are rather hot fixes but I am afraid that the core problem must be fixed by flexdashboard itself.

Try reinstall imagemin forcing the installation of the plugins. Use something like this: npm install -g imagemin-cli@3.0.0 --unsafe-perm=true --allow-root