Source code for MDAnalysis.topology.DLPolyParser

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"""DL Poly format Topology Readers --- :mod:`MDAnalysis.topology.DLPolyParser`
==============================================================================

Read DL Poly_ format topology files

DLPoly files have the following Attributes:
 - Atomnames
 - Atomids

.. note::

        By default, atomtypes and masses will be guessed on Universe creation.
        This may change in release 3.0.
        See :ref:`Guessers` for more information.

.. _Poly: http://www.stfc.ac.uk/SCD/research/app/ccg/software/DL_POLY/44516.aspx

Classes
-------

.. autoclass:: ConfigParser

.. autoclass:: HistoryParser


"""
import numpy as np

from .base import TopologyReaderBase
from ..core.topology import Topology
from ..core.topologyattrs import (
    Atomids,
    Atomnames,
    Resids,
    Resnums,
    Segids,
)
from ..lib.util import openany




class ConfigParser(TopologyReaderBase):
    """DL_Poly CONFIG file parser

    .. versionadded:: 0.10.1
    .. versionchanged:: 2.8.0
       Removed type and mass guessing (attributes guessing takes place now
       through universe.guess_TopologyAttrs() API).
    """
    format = 'CONFIG'

    def parse(self, **kwargs):
        with openany(self.filename) as inf:
            inf.readline()
            levcfg, imcon, megatm = np.int64(inf.readline().split()[:3])
            if not imcon == 0:
                inf.readline()
                inf.readline()
                inf.readline()

            names = []
            ids = []

            line = inf.readline().strip()
            while line:
                name = line[:8].strip()
                names.append(name)
                try:
                    idx = int(line[8:])
                except ValueError:
                    pass
                else:
                    ids.append(idx)

                inf.readline()
                if levcfg > 0:
                    inf.readline()
                if levcfg == 2:
                    inf.readline()

                line = inf.readline()

        n_atoms = len(names)
        if ids:
            ids = np.array(ids)
            names = np.array(names, dtype=object)
            order = np.argsort(ids)
            ids = ids[order]
            names = names[order]
        else:
            ids = np.arange(n_atoms)

        attrs = [
            Atomnames(names),
            Atomids(ids),
            Resids(np.array([1])),
            Resnums(np.array([1])),
            Segids(np.array(['SYSTEM'], dtype=object)),
        ]
        top = Topology(n_atoms, 1, 1,
                       attrs=attrs)

        return top





class HistoryParser(TopologyReaderBase):
    """DL_Poly History file parser

    .. versionadded:: 0.10.1
    """
    format = 'HISTORY'

    def parse(self, **kwargs):
        with openany(self.filename) as inf:
            inf.readline()
            levcfg, imcon, megatm = np.int64(inf.readline().split()[:3])

            names = []
            ids = []

            line = inf.readline()
            while not (len(line.split()) == 4 or len(line.split()) == 5):
                line = inf.readline()
                if line == '':
                    raise EOFError("End of file reached when reading HISTORY.")

            while line and not line.startswith('timestep'):
                name = line[:8].strip()
                names.append(name)
                try:
                    idx = int(line.split()[1])
                except ValueError:
                    pass
                else:
                    ids.append(idx)

                inf.readline()
                if levcfg > 0:
                    inf.readline()
                if levcfg == 2:
                    inf.readline()

                line = inf.readline()

        n_atoms = len(names)
        if ids:
            ids = np.array(ids)
            names = np.array(names, dtype=object)
            order = np.argsort(ids)
            ids = ids[order]
            names = names[order]
        else:
            ids = np.arange(n_atoms)

        attrs = [
            Atomnames(names),
            Atomids(ids),
            Resids(np.array([1])),
            Resnums(np.array([1])),
            Segids(np.array(['SYSTEM'], dtype=object)),
        ]
        top = Topology(n_atoms, 1, 1,
                       attrs=attrs)

        return top