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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #701 +/- ##
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+ Coverage 91.83% 91.88% +0.05%
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Files 44 44
Lines 6781 6780 -1
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+ Hits 6227 6230 +3
+ Misses 554 550 -4
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Hi @giovp, yes 2 tables can map to the same element, that is no problem. |
melonora
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melonora
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Thanks for the PR @giovp. I would like a little bit more clarification why certain functions seem to have been recreated here as I think it duplicates some code.
Also, I think it would be good to be a bit more explicit in the docstrings of how this would differ from the join functions as in both we now have the terminology of filtering without specifying how it differs. I know it is a private function here, but good to have it stated I think.
| rng = np.random.default_rng(seed=0) | ||
| full_sdata["table"].obs["annotated_shapes"] = rng.choice(["circles", "poly"], size=full_sdata["table"].shape[0]) | ||
| adata = full_sdata["table"] | ||
| adata = full_sdata["table"].copy() | ||
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| circles_instances = full_sdata["circles"].index.values | ||
| poly_instances = full_sdata["poly"].index.values | ||
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| adata = adata[: len(circles_instances) + len(poly_instances), :].copy() | ||
| adata.obs["annotated_shapes"] = ["circles"] * len(circles_instances) + ["poly"] * len(poly_instances) | ||
| adata.obs["instance_id"] = np.concatenate([circles_instances, poly_instances]) | ||
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this test had quite a big bug. Basically, the table natively from conftest annotates labels, but here it was re used to annotate shapes and circles. Now, both shapes and circles have 5 instances only, and so the table was being filtered only by coordinate system, but this meant that the table had the first five instances mapping to the poly/circles, but then all the other instances also present, which did not map to anything. This is because the filtering was happening with the now removed filter_table_by_element_names which wasn't checking for that.
I will add test so that the filter_table function always return correct tables.
| return table_names | ||
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| def _filter_table_by_element_names(table: AnnData | None, element_names: str | list[str]) -> AnnData | None: |
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this function is buggy, and it doesn't make sense with the new multiple table design, as it can return wrong tables. I removed it and refactored it in the other filter method. I will add test for this. See other comment
2 participants
I would like to refactor this function in order to support multiple tables.
Features
Let's say I have a region element
shapes1, I would like to filter the table or tables that contain instances from that region. This filtering should have the following features:table_name -> instancesor the same list of tables@melonora @LucaMarconato I have looked back at the multiple table in-memory design, but I couldn't find a clear description of any constraint or expected behaviour in the conversation or in the design document. In particular, from our previous conversations, I understood that:
can two tables map to the same element?
Thanks for the clarification