Remove the numpy restrictions and fix issues with coverage/coveralls

[jtgrasb]

Description

This PR removes the numpy restrictions (see #391) which were a result of autograd being outdated. Since we switched to jax, this update is relatively straightforward but did require switching np.NaN to np.nan in the AH example.

This PR also address coverage issues that we've been having. By reverting back to coverage instead of pytest-cov, the coverage data will actually be uploaded to coveralls (instead of displaying as 0%). I also added

[tool.coverage.run]
source = [
    "wecopttool",
]

to pyproject.toml, which specifies only coverage for files in the source directory should be recorded. This fixes an error with the ubuntu tests trying to find some _netcdf4.pyx file.

Type of PR

• Bug fix
• New feature
• Documentation
• Other: (specify)

Checklist for PR

• Authors read the contribution guidelines
• The pull request is from an issue branch (not main) on your fork, to the dev branch in WecOptTool.
• The authors have given the admins edit access
• All changes adhere to the style guide including PEP8, Docstrings, and Type Hints.
• Modified the documentation if applicable
• Modified or added a new test
• All tests pass
• Reference or close any relevant issues

[coveralls]

Pull Request Test Coverage Report for Build 19516522764

Details

• 0 of 0 changed or added relevant lines in 0 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage increased (+87.9%) to 87.938%

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Totals
Change from base Build 18696515447:	87.9%
Covered Lines:	1254
Relevant Lines:	1426

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💛 - Coveralls

[jtgrasb]

I also contacted coveralls support regarding the issue with the line-by-line source code not showing up in coveralls. This was occurring because we did not have a "repo owner" set. Now that the repo owner is set, the line-by-line coverage is available.