Source code for prody.atomic.atommap

# -*- coding: utf-8 -*-
"""This module defines :class:`AtomMap` class that allows for pointing atoms in
arbitrary order.

.. _atommaps:

How AtomMap works
===============================================================================

:class:`AtomMap` class adds great flexibility to manipulating atomic data.

First let's see how an instance of :class:`.Selection` (:class:`.Chain`, or
:class:`.Residue`) works.  Below table shows indices for a selection of atoms
in an :class:`~.AtomGroup` and values returned when
:meth:`~.Selection.getNames`, :meth:`~.Selection.getResnames` and
:meth:`~.Selection.getResnums` methods are called.

.. csv-table:: **Atom Subset**
   :header: "Indices", "Names", "Resnames", "Resnums"

   0, N, PHE, 1
   1, CA, PHE, 1
   2, C, PHE, 1
   3, O, PHE, 1
   4, CB, PHE, 1
   5, CG, PHE, 1
   6, CD1, PHE, 1
   7, CD2, PHE, 1
   8, CE1, PHE, 1
   9, CE2, PHE, 1
   10, CZ, PHE, 1

:class:`~.Selection` instances keep indices ordered and do not allow duplicate
values, hence their use is limited. In an :class:`AtomMap`, indices do not need
to be sorted, duplicate indices may exist, even "DUMMY" atoms are allowed.

Let's say we instantiate the following AtomMap::

    amap = AtomMap(atomgroup, indices=[0, 1, 3, 8, 8, 9, 10],
                   mapping=[5, 6, 7, 0, 1, 2, 3])


The size of the :class:`AtomMap` based on this mapping is 8, since the larger
mapping is 7.

Calling the same functions for this AtomMap instance would result in the
following:

.. csv-table:: **Atom Map**
   :header: "Mapping", "Indices", "Names", "Resnames", "Resnums", \
            "MappedFlags", "DummyFlags"

   0, 8, CE1, PHE, 1, 1, 0
   1, 8, CE1, PHE, 1, 1, 0
   2, 9, CE2, PHE, 1, 1, 0
   3, 10, CZ, PHE, 1, 1, 0
   4, , , , 0, 0, 1
   5, 0, N, PHE, 1, 1, 0
   6, 1, CA, PHE, 1, 1, 0
   7, 3, O, PHE, 1, 1, 0

For unmapped atoms, numeric attributes are set to 0, others to empty string,
i.e. ``""``.

.. seealso::
   :class:`AtomMap` are used by :mod:`.proteins` module functions that
   match or map protein chains.  :ref:`pca-xray` and :ref:`pca-dimer`
   examples that make use of these functions and :class:`AtomMap` class.


"""

from numpy import arange, array, ones, zeros, dtype

from prody.utilities import rangeString, copy

from .atom import Atom
from .fields import ATOMIC_FIELDS
from .fields import wrapGetMethod
from .pointer import AtomPointer

__all__ = ['AtomMap']

DUMMY = -1

[docs]class AtomMap(AtomPointer): """A class for mapping atomic data.""" __slots__ = ['_ag', '_indices', '_acsi', '_mapping', '_dummies', '_title', '_len', '_idarray'] def __init__(self, ag, indices, acsi=None, **kwargs): """Instantiate an atom map. :arg ag: AtomGroup instance from which atoms are mapped :arg indices: indices of mapped atoms :arg acsi: active coordinate set index, defaults is that of *ag* :arg mapping: mapping of atom *indices* :arg dummies: dummy atom indices :arg title: title of the instance, default is 'Unknown' *mapping* and *dummies* arrays must be provided together. Length of *mapping* must be equal to length of *indices*. Elements of *mapping* must be an ordered in ascending order. When dummy atoms are present, number of atoms is the sum of lengths of *mapping* and *dummies*. Following built-in functions are customized for this class: * :func:`len` returns the number of atoms in the instance. * :func:`iter` yields :class:`.Atom` instances. * Indexing returns an :class:`.Atom` or an :class:`.AtomMap` instance depending on the type and value of the index.""" AtomPointer.__init__(self, ag, acsi) self._dummies = self._mapping = None mapping = kwargs.get('mapping', None) dummies = kwargs.get('dummies', False) try: len(dummies) except TypeError: dummy_array = False else: dummy_array = True if mapping is None: if not kwargs.get('intarrays'): indices = array(indices, int) self._len = len(indices) if dummy_array: raise TypeError('mapping and dummies must be provided ' 'together') if dummies: dummies = (indices == DUMMY).nonzero()[0] if len(dummies): self._dummies = dummies self._mapping = (indices > DUMMY).nonzero()[0] self._indices = indices[self._mapping] self._idarray = indices else: self._indices = self._idarray = indices else: self._indices = self._idarray = indices else: if dummies is None: raise TypeError('mapping and dummies must be provided ' 'together') if len(mapping) != len(indices): raise ValueError('indices and mapping arrays must have the ' 'same length') if not kwargs.get('intarrays'): indices = array(indices, int) mapping = array(mapping, int) if dummy_array: dummies = array(dummies, int) #if any(mapping[1:] - mapping[:-1] < 0): # raise ValueError('mapping must be an ordered array') self._len = len(indices) if dummy_array: self._indices = indices self._mapping = mapping self._dummies = dummies self._len += len(dummies) self._idarray = idarray = zeros(self._len, int) idarray[self._mapping] = self._indices idarray[self._dummies] = DUMMY else: self._indices = self._idarray = indices[mapping] self._title = str(kwargs.get('title', 'Unknown')) def __repr__(self): rep = '<AtomMap: {0} from {1} ({2} atoms'.format( self._title, self._ag.getTitle(), self._len) if self.numDummies(): rep += ', {0} mapped, {1} dummy'.format(self.numMapped(), self.numDummies()) n_csets = self._ag.numCoordsets() if n_csets > 1: rep += '; active #{0} of {1} coordsets)>'.format( self.getACSIndex(), n_csets) elif n_csets == 0: rep += '; no coordinates' return rep + ')>' def __str__(self): return 'AtomMap {0}'.format(self._title) def __len__(self): return self._len def __getitem__(self, index): indices = self._idarray[index] try: len(indices) except TypeError: if indices != DUMMY: return self._ag[indices] else: return AtomMap(self._ag, indices, self._acsi, title='({0})[{1}]'.format(self._title, repr(index)), intarrays=True, dummies=self.numDummies())
[docs] def getTitle(self): """Returns title of the instance.""" return self._title
[docs] def setTitle(self, title): """Set title of the instance.""" self._title = str(title)
[docs] def numAtoms(self, flag=None): """Returns number of atoms.""" return len(self._getSubset(flag)) if flag else self._len
[docs] def iterAtoms(self): """Yield atoms, and **None** for dummies.""" ag = self._ag acsi = self.getACSIndex() for index in self.getIndices(): yield Atom(ag, index, acsi) if index > DUMMY else None
__iter__ = iterAtoms
[docs] def getCoords(self): """Returns a copy of coordinates from the active coordinate set.""" coords = self._ag._getCoordsets() if coords is not None: if self._mapping is None: xyz = coords[self.getACSIndex(), self._indices] else: xyz = zeros((self._len, 3), float) xyz[self._mapping] = coords[self.getACSIndex(), self._indices] return xyz
_getCoords = getCoords
[docs] def setCoords(self, coords): """Set coordinates of atoms in the active coordinate set.""" coordsets = self._ag._getCoordsets() if coordsets is not None: if self._mapping is None: coordsets[self.getACSIndex(), self._indices] = coords elif self._dummies is None: coordsets[self.getACSIndex(), self._indices] = coords
[docs] def getCoordsets(self, indices=None): """Returns coordinate set(s) at given *indices*, which may be an integer or a list/array of integers.""" coords = self._ag._getCoordsets() if coords is not None: if indices is None: coords = coords[:, self._indices] else: try: len(indices) except TypeError: coords = coords[indices, self._indices] else: coords = coords[indices][:, self._indices] if self._mapping is None: return coords else: csets = zeros(coords.shape[:-2] + (self._len, 3)) csets[:, self._mapping] = coords return csets
_getCoordsets = getCoordsets
[docs] def iterCoordsets(self): """Yield copies of coordinate sets.""" coords = self._ag._getCoordsets() if coords is not None: mapping = self._mapping n_atoms = self._len indices = self._indices for i in range(self._ag.numCoordsets()): xyz = zeros((n_atoms, 3), float) xyz[mapping] = coords[i, indices] yield xyz
_iterCoordsets = iterCoordsets
[docs] def getData(self, label): """Returns a copy of data associated with *label*, if it is present.""" data = self._ag._getData(label) if data is not None: result = zeros((self._len,) + data.shape[1:], data.dtype) result[self._mapping] = data[self._indices] return result
_getData = getData
[docs] def getFlags(self, label): """Returns a copy of atom flags for given *label*, or **None** when flags for *label* is not set.""" if label == 'dummy': flags = zeros(self._len, bool) if self._dummies is not None: flags[self._dummies] = True elif label == 'mapped': flags = ones(self._len, bool) if self._dummies is not None: flags[self._dummies] = False else: flags = None agflags = self._ag._getFlags(label) if agflags is not None: flags = zeros(self._len, bool) flags[self._mapping] = agflags[self._indices] return flags
_getFlags = getFlags def _getSubset(self, label): return self._idarray[self._getFlags(label)]
[docs] def getIndices(self): """Returns a copy of indices of atoms, with maximum integer value dummies.""" return copy(self._idarray)
def _getIndices(self): """Returns indices of atoms, with maximum integer value dummies.""" return self._idarray
[docs] def getMapping(self): """Returns a copy of mapping of indices.""" mapping = self._mapping return arange(self._len) if mapping is None else mapping.copy()
def _getMapping(self): """Returns mapping of indices.""" mapping = self._mapping return arange(self._len) if mapping is None else mapping
[docs] def numMapped(self): """Returns number of mapped atoms.""" return len(self._indices)
[docs] def numDummies(self): """Returns number of dummy atoms.""" return 0 if self._dummies is None else len(self._dummies)
[docs] def getSelstr(self): """Returns selection string that selects mapped atoms.""" return 'index ' + rangeString(self._indices)
[docs] def getHierView(self, **kwargs): """Returns a hierarchical view of the this chain.""" return HierView(self, **kwargs)
for fname, field in ATOMIC_FIELDS.items(): if field.private: continue meth = field.meth_pl getMeth = 'get' + meth def getData(self, meth=field.meth_pl, dtype=field.dtype): data = getattr(self._ag, '_get' + meth)() if data is not None: if self._mapping is None: return data[self._indices] else: result = zeros((self._len,) + data.shape[1:], dtype) result[self._mapping] = data[self._indices] return result getData = wrapGetMethod(getData) getData.__name__ = getMeth getData.__doc__ = (field.getDocstr('get', selex=False) + ' Entries for dummy atoms will be ``{0}``.' .format(repr(dtype(field.dtype).type()))) setattr(AtomMap, getMeth, getData) setattr(AtomMap, '_' + getMeth, getData) del getData