Updated docs for Apple silicon

[dlakaplan]

Also some other install docs cleaning. See:
https://nanograv-pint--1588.org.readthedocs.build/en/1588/installation.html

[paulray]

I think this note: "NOTE: PINT requires longdouble arithmetic within numpy, which is currently not supported natively on M1/M2 Macs." should appear earlier, in addition to in the conda section. Perhaps right after the naming conflict note. Even people who install via pip and don't know what ananconda is need to be warned about the M1/M2 issue. Those people should be pointed to conda as the preferred solution.

[codecov]

Codecov Report

Patch and project coverage have no change.

Comparison is base (87d40cc) 68.07% compared to head (dbdcc4c) 68.07%.

Additional details and impacted files

@@           Coverage Diff           @@
##           master    #1588   +/-   ##
=======================================
  Coverage   68.07%   68.07%           
=======================================
  Files          98       98           
  Lines       22608    22608           
  Branches     3881     3881           
=======================================
  Hits        15391    15391           
  Misses       6270     6270           
  Partials      947      947           

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[abhisrkckl]

I thing it should be a :: instead of : before the line

$ conda install -c conda-forge pint-pulsar

So that it appears in a code box.

[abhisrkckl]

"pip uninstall" in the "Previous use of pip install --user" section appears broken into two lines.

[dlakaplan]

"pip uninstall" in the "Previous use of pip install --user" section appears broken into two lines.

Not for me, but I removed a line break anyway

[dlakaplan]

Note that I had a weird issue when trying to install from conda on a M1 Mac. The conda was the x86 version. But conda install -c condo-forge pint-pulsar didn't work. It appeared to complete, but I got errors like:
https://stackoverflow.com/questions/70830755/intel-mkl-fatal-error-this-system-does-not-meet-the-minimum-requirements-for-us
when I ran it. The solution was to use conda just to create the environment but actually install using pip. Can anybody else test this?

[paulray]

Can we merge this or do you want to wait on your intel-mkl issue?

[dlakaplan]

I think it would be nice to understand that issue, but I can't test it much more myself. I asked on slack if others could and also discussed at the cyber-I call.