Larger error tolerance since approx nearest neighbors can mess things up a bit.
@@ -259,7 +259,7 @@ def test_umap_update_large(
error = np.sum(np.abs((new_model.graph_ - comparison_graph).data))
- assert error < 1.5
+ assert error < 3.0 # Higher error tolerance based on approx nearest neighbors
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