Feature/42 participation rate filter

[chrisbc]

closing #42 and closing #46 this PR includes:

• new style filter package to standardise and improve filtering on various aspects of the solution datasets.
• conditional vs non-conditional participaton
• many docstrings and mkdocs improvements
• test optimisations
• dataframe models using the panderas library

[codecov[bot]]

Codecov Report

Attention: Patch coverage is 93.99293% with 34 lines in your changes missing coverage. Please review.

Please upload report for BASE (pre-release@a5666e0). Learn more about missing BASE report.

Files with missing lines	Patch %	Lines
solvis/inversion_solution/named_fault.py	0.00%	11 Missing :warning:
...nversion_solution/inversion_solution_operations.py	92.59%	5 Missing and 1 partial :warning:
solvis/solvis.py	63.63%	4 Missing :warning:
...lvis/inversion_solution/inversion_solution_file.py	91.42%	2 Missing and 1 partial :warning:
solvis/fault_system_solution_helper.py	93.33%	0 Missing and 2 partials :warning:
solvis/filter/chainable_set_base.py	96.77%	1 Missing and 1 partial :warning:
solvis/filter/rupture_id_filter.py	97.70%	1 Missing and 1 partial :warning:
solvis/inversion_solution/dataframe_models.py	98.34%	1 Missing and 1 partial :warning:
solvis/inversion_solution/typing.py	84.61%	2 Missing :warning:

Additional details and impacted files

```diff @@ Coverage Diff @@ ## pre-release #48 +/- ## ============================================== Coverage ? 91.57% ============================================== Files ? 22 Lines ? 1305 Branches ? 114 ============================================== Hits ? 1195 Misses ? 86 Partials ? 24 ``` | [Flag](https://app.codecov.io/gh/GNS-Science/solvis/pull/48/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=GNS-Science) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/GNS-Science/solvis/pull/48/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=GNS-Science) | `91.57% <93.99%> (?)` | | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=GNS-Science#carryforward-flags-in-the-pull-request-comment) to find out more.

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