Support reading and writing a dictionary of Ensembles to hdf5 files

[drewoldag]

WIP - Initial commit to support writing out a dictionary collection of ensembles.

Problem & Solution Description (including issue #)

We don't have an easy way to export a collection of small ensembles. This work implements tooling to support that. Here the user will pass in a dictionary of qp.Ensembles that are then tabularized with the build_tables() method that converts the Ensemble into a dictionary of np.arrays.

We take the tabularized Ensembles and build a new dictionary of the form { : } and pass that to tables_io.writeDictsToHdf5(...).

We still need to implement a reading function to go along with this tooling.

Code Quality

• [ ] My code follows the code style of this project
• [ ] I have written unit tests or justified all instances of #pragma: no cover; in the case of a bugfix, a new test that breaks as a result of the bug has been added
• [ ] My code contains relevant comments and necessary documentation for future maintainers; the change is reflected in applicable demos/tutorials (with output cleared!) and added/updated docstrings use the NumPy docstring format
• [ ] Any breaking changes, described above, are accompanied by backwards compatibility and deprecation warnings

[codecov[bot]]

Codecov Report

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

Project coverage is 100.00%. Comparing base (248b3ee) to head (463624f).

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #218 +/- ## ========================================= Coverage 100.00% 100.00% ========================================= Files 37 37 Lines 2625 2646 +21 ========================================= + Hits 2625 2646 +21 ```

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[drewoldag]

Tables_io now has coverage of changes at 100%, I've uncommented the unit test that was added here that exercises the write/read methods.