ENH: add `ctree` CLI and app

[rmcar17]

Method forms a so called "cluster tree" formed by pairwise comparison of the mash distance between sequences or euclidean distance between kmer frequencies of the sequences.

[coveralls]

Pull Request Test Coverage Report for Build 10879077588

Details

• 0 of 0 changed or added relevant lines in 0 files are covered.
• 231 unchanged lines in 18 files lost coverage.
• Overall coverage increased (+0.6%) to 92.533%

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Files with Coverage Reduction	New Missed Lines	%
.nox/test-3-12/lib/python3.12/site-packages/diverse_seq/records.py	8	91.89%
.nox/test-3-10/lib/python3.10/site-packages/diverse_seq/records.py	8	91.89%
.nox/test-3-10/Lib/site-packages/diverse_seq/records.py	8	91.89%
.nox/test-3-12/Lib/site-packages/diverse_seq/records.py	8	91.89%
.nox/test-3-11/lib/python3.11/site-packages/diverse_seq/records.py	8	91.89%
.nox/test-3-11/Lib/site-packages/diverse_seq/records.py	8	91.89%
.nox/test-3-10/Lib/site-packages/diverse_seq/data_store.py	9	92.31%
.nox/test-3-12/Lib/site-packages/diverse_seq/data_store.py	9	92.31%
.nox/test-3-11/lib/python3.11/site-packages/diverse_seq/data_store.py	9	92.31%
.nox/test-3-11/Lib/site-packages/diverse_seq/data_store.py	9	92.31%
<!--	Total:	231		-->

Totals
Change from base Build 10733801195:	0.6%
Covered Lines:	6729
Relevant Lines:	7272

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💛 - Coveralls

[rmcar17]

I noted something which I'd missed in my first review that is quite important. Support for parallel computation within Jupyter notebooks is difficult and the standard library does not support it. I've solved this in cogent3 by using the loky third-party library. Just use the cogent3 as_completed() function for this.

I've changed the implementation to also use loky as well, as I relied more broadly on the Executor interface