appdirs | small utility that provides cross platform access | File Utils library

I succeeded to install getfem++ and pyvista on the Rpi4 (without conda).

I posted my method at the end of this github discussion

Hope it'll help you!

A brief list of steps I took (with details at the linked discussion):

1. installed Ubuntu 20.04 to get Python 3.8.6.
2. install python3-getfem++ with apt
3. build vtk from source because there are no wheels for the arm64 architecture that's used by Rpi4
4. install PyVista with the --no-dependencies switch to work with dependencies installed manually
5. install PyVista's other dependencies manually (using a PC and pip installing pyvista into a fresh virtualenv can help gather the dependencies, if one doesn't want to go looking in PyVista's setup.py for dependencies)
6. install packages (especially xvfb) to get a virtual framebuffer for plotting.

If black is specified as a development dependency in pyproject.toml (quite likely as it is a code formatter) the --dev (or -D for short) option should be used with poetry remove i.e:

The answer is that the image has to be stored. So I have to insert p.store_image = True before p.show()

In your requirements file change psycopg2-binary to just psycopg2

You are installing django-heroku==0.0.0 is that what you really want?

pyinstaller Options: I can't find any information about the option -x, maybe this is the issue.

Also: pyinstaller -d option

It seems that the -d option requires arguments. Maybe try to remove the option or put one of the required values:

-d , --debug

Provide assistance with debugging a frozen application. This argument may be provided multiple times to select several of the following options.

all: All three of the following options.

imports: specify the -v option to the underlying Python interpreter, causing it to print a message each time a module is initialized, showing the place (filename or built-in module) from which it is loaded. See https://docs.python.org/3/using/cmdline.html#id4.

bootloader: tell the bootloader to issue progress messages while initializing and starting the bundled app. Used to diagnose problems with missing imports.

noarchive: instead of storing all frozen Python source files as an archive inside the resulting executable, store them as files in the resulting output directory.

At the end, I ended up solving this by rolling back the changes I made using conda list --revisions to find out until which previous set up I had to roll back to, then afterwards I ran conda install --revision N (where N is the revision you want to trace back to). Suppose the changes you made are rev 4, you want to undo them, and sit back again under rev 3 (your previously "known and working" environment you had), so you run conda install --revision 3 for that case.

Afterwards I re-installed pandas_datareader with python -m pip install pandas-datareader and everything went good again.

Thanks anyways and I hope if someone else runs into this issue, can find this post valuable.

This worked for me: in settings.json add this line:

This problem is similar to this question or this github issue

It is either an issue caused by bundling too many commands and having errors because of dependencies or it is an issue of package incompatibility. You are not pinning the psycopg2 version (>=). You may try pinning a specific version.

Psycopg2-binary is the what I use for local development, but with docker I usually stick with regular psycopg2

From the list of libraries, it looks like you've installed CPU only version of the Pytorch.