Implementations of 2 new cvs: native contact fraction Q and angles between two vectors #327
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update the examples, this is simply a better choice of the contacts. Otherwise it contains bonded pairs which will always be there.
p-zubieta
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Aug 8, 2024
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| def remap_indices(contacts, sorted_unique_indices): | ||
| # create the mapping from old indices to new indices | ||
| old_indices = np.array(sorted_unique_indices) | ||
| new_indices = np.arange(len(sorted_unique_indices)) | ||
| index_mapping = np.zeros(old_indices.max() + 1, dtype=new_indices.dtype) | ||
| index_mapping = index_mapping.at[old_indices].set(new_indices) | ||
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| contacts = np.array(contacts) | ||
| remapped_contacts = index_mapping[contacts] | ||
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| return remapped_contacts |
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I need to check, but this looks like something that could be accomplished, by using argsort
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yes, and I've just implemented this in commits below
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Hi I've implemented two new cvs: 1. angle between two vectors 2. native contact fraction Q. Please let me know if anything needs to be modified! I've added another python script under colvars
contacts.pyfor Q, but the vector angles are added inangles.py. I've implemented testing for Q and its derivatives inexample/openmm/cv_Q.