Updating install and testing doc + setup.py

[eirikurj]

Purpose

This PR updates setup.py and the docs. In particular,

• setup.py field had a typo in extras_required. Also updated outdated package name for mdolab-baseclasses.
• Outdated docs on installation and testing updated
• Fixed RST build warnings
• Fixed typos in docstrings

Closes #65

Expected time until merged

No rush

Type of change

• [ ] Bugfix (non-breaking change which fixes an issue)
• [ ] New feature (non-breaking change which adds functionality)
• [ ] Breaking change (non-backwards-compatible fix or feature)
• [ ] Code style update (formatting, renaming)
• [ ] Refactoring (no functional changes, no API changes)
• [x] Documentation update
• [ ] Maintenance update
• [ ] Other (please describe)

Testing

Check that docs build as expected and verify docs by executing instructions.

Checklist

• [ ] I have run flake8 and black to make sure the Python code adheres to PEP-8 and is consistently formatted
• [ ] I have formatted the Fortran code with fprettify or C/C++ code with clang-format as applicable
• [ ] I have run unit and regression tests which pass locally with my changes
• [ ] I have added new tests that prove my fix is effective or that my feature works
• [ ] I have added necessary documentation

[codecov[bot]]

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (4da3f9c) 52.91% compared to head (46b97cc) 46.16%.

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #66 +/- ## ========================================== - Coverage 52.91% 46.16% -6.76% ========================================== Files 5 5 Lines 1629 1629 ========================================== - Hits 862 752 -110 - Misses 767 877 +110 ```

:umbrella: View full report in Codecov by Sentry.
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[eirikurj]

The setup.py had some issues that should be fixed now, which should take care of the warning. Updated the description to reflect the additions. Please have another look. Regarding the typeDict issue, I think I had the same issue a while back, which prompted me to upgrade python. You can probably also downgrade numpy, but I would prefer python as 3.8 is getting close to EOL.