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Issue363 Changes
Note: Issue-363 is a work in progress, nothing is final yet, everything is up for debate!
Issue #363 brings many changes, these are summarised here:
Previously, every object except Atom subclassed from AtomGroup. This meant that calling .positions
of would give you the positions of the Atoms contained within that group.
Previous class structure:
Atom
AtomGroup -> Residue
-> ResidueGroup -> Segment
-> SegmentGroup
New class structure:
Group -> AtomGroup
-> ResidueGroup
-> SegmentGroup
Atom
Residue
Segment
Now each object only contains information pertaining to that particular object. A Residue
object only yields information about the Residue, to get to the atoms, use Residue.atoms
Previously everything inheriting from AtomGroup made it unclear at what level of topology a given method or attribute was working on. Ie does ResidueGroup.charges
give the charge of the Residues or the Atoms?
Also, it was unclear what size a given output would be (see Issue-411)
To access Atom level information from anything that isn't an AtomGroup, use the .atoms
level accessor.
For example, changing all .positions
calls on anything that isn't an AtomGroup
to .atoms.positions
.
The new Topology
object keeps an array giving the residue membership of each atom. Getting the resname of the residue of a group of atoms, then, is achieved by taking the indices of these atoms to fancy-index the Atoms->Residues
array, and then using the result of this to fancy-index the Resnames
array. For example, if the Topology
has 5 atoms and 3 residues, with membership (Atoms->Residues
) and Resnames
arrays as below:
Atoms->Residues Resnames
index --------------- index --------
0 0 0 GLU
1 2 1 LYS
2 1 2 ALA
3 1
4 2
calling AtomGroup.resnames
for an AtomGroup
with atoms [2, 0, 1, 2] will yield (pseudocode):
"Atoms->Residues"[[2, 0, 1, 2]] --> [1, 0, 2, 1]
"Resnames"[[1, 0, 2, 1]] --> ['LYS', 'GLU', 'ALA', 'LYS']
This scheme only works if each atom is a member of one and only one residue. Likewise, residues are members of one and only one segment. Furthermore, AtomGroup
s, ResidueGroup
s, and SegmentGroup
s are very thin, storing only the indices of their members as a numpy
array. This gives a number of advantages:
- Performance. We get at least an 8x speedup over the old scheme when accessing attributes. Setting attributes can give up to a 40x speedup.
- Memory. We don't store, for example, a resname for each atom, but instead store attributes at the level they make sense for.
- Consistency. Since attributes are stored in one place, we avoid cases where the topology is in an inconsistent state, e.g. two atoms in the same residue give a different resname.
-
No staleness. Because e.g.
ResidueGroups
are only an array of indices, not a list ofResidue
objects generated upon creation of the group, changes of resiude-level properties by anotherResidueGroup
are always reflected consistently by every other one. Data is not duplicated anywhere in this scheme, and is all contained in theTopology
object.
For further performance comparisons, check out this notebook.