Potential bug with cluster_sel_epsilon option. Rounded to 0

[aringeri]

Hi, I've been reading through the implementation of NanoCLUST to get some ideas for clustering my own nanopore data.

I have found a potential bug with the cluster_sel_epsilon option at the hdbscan clustering step.
The line here:

NanoCLUST/templates/umap_hdbscan.py

Line 23 in 9364ddc

umap_out["bin_id"] = hdbscan.HDBSCAN(min_cluster_size=int($params.min_cluster_size), cluster_selection_epsilon=int($params.cluster_sel_epsilon)).fit_predict(X)

int($params.cluster_sel_epsilon)

My understanding is that the int() function in python will round down fractions to the nearest integer. So although the params.cluster_sel_epsilon may be set to 0.5, int(0.5) will become 0.

This may be misleading if anyone attempt to configure the params.cluster_sel_epsilon option as it will always be rounded down.