* create and test strategy for generating knn_graph as test inputs
* test strategy for generating knn_graphs
- Each row has the distances sorted in ascending order in the csr-format.
- The indices of the neighbors are unique within a column and don't have the query point as a neighbor.
- If points a and b are mutual neighbors, they have the same distance between them.
* add property based tests for near-duplicate sets
* flag near-duplicate issues based on items in near duplicate sets.
* issuemanager.get_summary->make_summary
* test(datalab): ♻️ move tests for issue managers into their respective test modules
* test(datalab): ✅ add tests for custom issue manager
- Validate scores provided to IssueManager.make_summary
- Move fixture for custom issue manager to conftest.py
- Test make_summary on a "custom" IssueManager
* test(datalab): add __init__.py for discoverability of issue manager tests
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Co-authored-by: Elías Snorrason <eliassno@gmail.com>
Elías Snorrason