aggregate - out of core#395
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* test map_blocks * add dense prototype * update kernels * make nicer * fix 64_bit * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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ilan-gold
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Jul 14, 2025
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| for i in range(4): | ||
| c = ["sum", "mean", "var", "count_nonzero"][i] | ||
| a = out_in_memory.layers[c] | ||
| b = out_dask.layers[c] | ||
| cp.testing.assert_allclose(a, b) |
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Curious what happens if you run compute under a processes scheduler because for us, it actually produced inconsistent results variance sparse-in-dask (and to rectify the problem, I had to call compute on the mean within the variance calculation for sparse-in-dask).
| adata_2 = adata_2.raw.to_adata() | ||
| adata_1.X = cusparse.csr_matrix(adata_1.X.astype(np.float64)) | ||
| adata_2.X = as_sparse_cupy_dask_array(adata_2.X.astype(np.float64)) | ||
| elif data_kind == "dense": |
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No C vs F contiguous in dask ?
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#385
This PR updates aggregate to work with dask matrices. Also Allows for CSC based aggr to dense and F based aggr