##############################################################################
# MDTraj: A Python Library for Loading, Saving, and Manipulating
#         Molecular Dynamics Trajectories.
# Copyright 2012-2013 Stanford University and the Authors
#
# Authors: Peter Eastman, Robert McGibbon
# Contributors: Carlos Hernandez, Jason Swails
#
# MDTraj is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as
# published by the Free Software Foundation, either version 2.1
# of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with MDTraj. If not, see <http://www.gnu.org/licenses/>.
# Portions copyright (c) 2012 Stanford University and the Authors.
#
# Portions of this code originate from the OpenMM molecular simulation
# toolkit. Those portions are Copyright 2008-2012 Stanford University
# and Peter Eastman, and distributed under the following license:
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS, CONTRIBUTORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
# OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
# USE OR OTHER DEALINGS IN THE SOFTWARE.
##############################################################################

from __future__ import print_function, division
import os
from datetime import date
import gzip
import numpy as np
import xml.etree.ElementTree as etree
from copy import copy
from mdtraj.formats.pdb.pdbstructure import PdbStructure
from mdtraj.core.topology import Topology
from mdtraj.utils import ilen, cast_indices, in_units_of, open_maybe_zipped
from mdtraj.formats.registry import FormatRegistry
from mdtraj.core import element as elem
from mdtraj.utils import six
from mdtraj import version
import warnings
if six.PY3:
    from urllib.request import urlopen
    from urllib.parse import urlparse
    from urllib.parse import (uses_relative, uses_netloc, uses_params)
else:
    from urllib2 import urlopen
    from urlparse import urlparse
    from urlparse import uses_relative, uses_netloc, uses_params
    # Ugly hack -- we don't always issue UserWarning in Py2, but we need to in
    # this module
    warnings.filterwarnings('always', category=UserWarning, module=__name__)

_VALID_URLS = set(uses_relative + uses_netloc + uses_params)
_VALID_URLS.discard('')

__all__ = ['load_pdb', 'PDBTrajectoryFile']

##############################################################################
# Code
##############################################################################


def _is_url(url):
    """Check to see if a URL has a valid protocol.
    from pandas/io.common.py Copyright 2014 Pandas Developers
    Used under the BSD licence
    """
    try:
        return urlparse(url).scheme in _VALID_URLS
    except (AttributeError, TypeError):
        return False


@FormatRegistry.register_loader('.pdb')
@FormatRegistry.register_loader('.pdb.gz')
def load_pdb(filename, stride=None, atom_indices=None, frame=None,
             no_boxchk=False):
    """Load a RCSB Protein Data Bank file from disk.

    Parameters
    ----------
    filename : str
        Path to the PDB file on disk. The string could be a URL. Valid URL
        schemes include http and ftp.
    stride : int, default=None
        Only read every stride-th model from the file
    atom_indices : array_like, default=None
        If not None, then read only a subset of the atoms coordinates from the
        file. These indices are zero-based (not 1 based, as used by the PDB
        format). So if you want to load only the first atom in the file, you
        would supply ``atom_indices = np.array([0])``.
    frame : int, default=None
        Use this option to load only a single frame from a trajectory on disk.
        If frame is None, the default, the entire trajectory will be loaded.
        If supplied, ``stride`` will be ignored.
    no_boxchk : bool, default=False
        By default, a heuristic check based on the particle density will be
        performed to determine if the unit cell dimensions are absurd. If the
        particle density is >1000 atoms per nm^3, the unit cell will be
        discarded. This is done because all PDB files from RCSB contain a CRYST1
        record, even if there are no periodic boundaries, and dummy values are
        filled in instead. This check will filter out those false unit cells and
        avoid potential errors in geometry calculations. Set this variable to
        ``True`` in order to skip this heuristic check.

    Returns
    -------
    trajectory : md.Trajectory
        The resulting trajectory, as an md.Trajectory object.
        
    Examples
    --------
    >>> import mdtraj as md
    >>> pdb = md.load_pdb('2EQQ.pdb')
    >>> print(pdb)
    <mdtraj.Trajectory with 20 frames, 423 atoms at 0x110740a90>

    See Also
    --------
    mdtraj.PDBTrajectoryFile : Low level interface to PDB files
    """
    from mdtraj import Trajectory
    if not isinstance(filename, six.string_types):
        raise TypeError('filename must be of type string for load_pdb. '
            'you supplied %s' % type(filename))

    atom_indices = cast_indices(atom_indices)
    
    filename = str(filename)
    with PDBTrajectoryFile(filename) as f:
        atom_slice = slice(None) if atom_indices is None else atom_indices
        if frame is not None:
            coords = f.positions[[frame], atom_slice, :]
        else:
            coords = f.positions[::stride, atom_slice, :]
        assert coords.ndim == 3, 'internal shape error'
        n_frames = len(coords)

        topology = f.topology
        if atom_indices is not None:
            topology = topology.subset(atom_indices)

        if f.unitcell_angles is not None and f.unitcell_lengths is not None:
            unitcell_lengths = np.array([f.unitcell_lengths] * n_frames)
            unitcell_angles = np.array([f.unitcell_angles] * n_frames)
        else:
            unitcell_lengths = None
            unitcell_angles = None

        in_units_of(coords, f.distance_unit, Trajectory._distance_unit, inplace=True)
        in_units_of(unitcell_lengths, f.distance_unit, Trajectory._distance_unit, inplace=True)

    time = np.arange(len(coords))
    if frame is not None:
        time *= frame
    elif stride is not None:
        time *= stride

    traj = Trajectory(xyz=coords, time=time, topology=topology,
                      unitcell_lengths=unitcell_lengths,
                      unitcell_angles=unitcell_angles)

    if not no_boxchk and traj.unitcell_lengths is not None:
        # Only one CRYST1 record is allowed, so only do this check for the first
        # frame. Some RCSB PDB files do not *really* have a unit cell, but still
        # have a CRYST1 record with a dummy definition. These boxes are usually
        # tiny (e.g., 1 A^3), so check that the particle density in the unit
        # cell is not absurdly high. Standard water density is ~55 M, which
        # yields a particle density ~100 atoms per cubic nm. It should be safe
        # to say that no particle density should exceed 10x that.
        particle_density = traj.top.n_atoms / traj.unitcell_volumes[0]
        if particle_density > 1000:
            warnings.warn('Unlikely unit cell vectors detected in PDB file likely '
                          'resulting from a dummy CRYST1 record. Discarding unit '
                          'cell vectors.')
            traj._unitcell_lengths = traj._unitcell_angles = None

    return traj

@FormatRegistry.register_fileobject('.pdb')
@FormatRegistry.register_fileobject('.pdb.gz')
class PDBTrajectoryFile(object):
    """Interface for reading and writing Protein Data Bank (PDB) files

    Parameters
    ----------
    filename : str
        The filename to open. A path to a file on disk.
    mode : {'r', 'w'}
        The mode in which to open the file, either 'r' for read or 'w' for write.
    force_overwrite : bool
        If opened in write mode, and a file by the name of `filename` already
        exists on disk, should we overwrite it?

    Attributes
    ----------
    positions : np.ndarray, shape=(n_frames, n_atoms, 3)
    topology : mdtraj.Topology
    closed : bool

    Notes
    -----
    When writing pdb files, mdtraj follows the PDB3.0 standard as closely as
    possible. During *reading* however, we try to be more lenient. For instance,
    we will parse common nonstandard atom names during reading, and convert them
    into the standard names. The replacement table used by mdtraj is at
    {mdtraj_source}/formats/pdb/data/pdbNames.xml.

    See Also
    --------
    mdtraj.load_pdb : High-level wrapper that returns a ``md.Trajectory``
    """
    distance_unit = 'angstroms'
    _residueNameReplacements = {}
    _atomNameReplacements = {}
    _chain_names = [chr(ord('A') + i) for i in range(26)]

    def __init__(self, filename, mode='r', force_overwrite=True):
        self._open = False
        self._file = None
        self._topology = None
        self._positions = None
        self._mode = mode
        self._last_topology = None

        if mode == 'r':
            PDBTrajectoryFile._loadNameReplacementTables()

            if _is_url(filename):
                self._file = urlopen(filename)
                if filename.lower().endswith('.gz'):
                    if six.PY3:
                        self._file = gzip.GzipFile(fileobj=self._file)
                    else:
                        self._file = gzip.GzipFile(fileobj=six.StringIO(
                            self._file.read()))
                if six.PY3:
                    self._file = six.StringIO(self._file.read().decode('utf-8'))
            else:
                self._file = open_maybe_zipped(filename, 'r')

            self._read_models()
        elif mode == 'w':
            self._header_written = False
            self._footer_written = False
            self._file = open_maybe_zipped(filename, 'w', force_overwrite)
        else:
            raise ValueError("invalid mode: %s" % mode)

        self._open = True

    def write(self, positions, topology, modelIndex=None, unitcell_lengths=None, 
              unitcell_angles=None, bfactors=None):
        """Write a PDB file to disk

        Parameters
        ----------
        positions : array_like
            The list of atomic positions to write.
        topology : mdtraj.Topology
            The Topology defining the model to write.
        modelIndex : {int, None}
            If not None, the model will be surrounded by MODEL/ENDMDL records
            with this index
        unitcell_lengths : {tuple, None}
            Lengths of the three unit cell vectors, or None for a non-periodic system
        unitcell_angles : {tuple, None}
            Angles between the three unit cell vectors, or None for a non-periodic system
        bfactors : array_like, default=None, shape=(n_atoms,)
            Save bfactors with pdb file. Should contain a single number for
            each atom in the topology
        """
        if not self._mode == 'w':
            raise ValueError('file not opened for writing')
        if not self._header_written:
            self._write_header(unitcell_lengths, unitcell_angles)
            self._header_written = True

        if ilen(topology.atoms) != len(positions):
            raise ValueError('The number of positions must match the number of atoms')
        if np.any(np.isnan(positions)):
            raise ValueError('Particle position is NaN')
        if np.any(np.isinf(positions)):
            raise ValueError('Particle position is infinite')
        
        self._last_topology = topology  # Hack to save the topology of the last frame written, allows us to output CONECT entries in write_footer()

        if bfactors is None:
            bfactors = ['{0:5.2f}'.format(0.0)] * len(positions)
        else:
            if (np.max(bfactors) >= 100) or (np.min(bfactors) <= -10):
                raise ValueError("bfactors must be in (-10, 100)")

            bfactors = ['{0:5.2f}'.format(b) for b in bfactors]
        
        atomIndex = 1
        posIndex = 0
        if modelIndex is not None:
            print("MODEL     %4d" % modelIndex, file=self._file)
        for (chainIndex, chain) in enumerate(topology.chains):
            chainName = self._chain_names[chainIndex % len(self._chain_names)]
            residues = list(chain.residues)
            for (resIndex, res) in enumerate(residues):
                if len(res.name) > 3:
                    resName = res.name[:3]
                else:
                    resName = res.name
                for atom in res.atoms:
                    if len(atom.name) < 4 and atom.name[:1].isalpha() and (atom.element is None or len(atom.element.symbol) < 2):
                        atomName = ' '+atom.name
                    elif len(atom.name) > 4:
                        atomName = atom.name[:4]
                    else:
                        atomName = atom.name
                    coords = positions[posIndex]
                    if atom.element is not None:
                        symbol = atom.element.symbol
                    else:
                        symbol = ' '
                    line = "ATOM  %5d %-4s %3s %1s%4d    %s%s%s  1.00 %5s      %-4s%-2s  " % (
                        atomIndex % 100000, atomName, resName, chainName,
                        (res.resSeq) % 10000, _format_83(coords[0]),
                        _format_83(coords[1]), _format_83(coords[2]),
                        bfactors[posIndex], atom.segment_id[:4], symbol[-2:])
                    assert len(line) == 80, 'Fixed width overflow detected'
                    print(line, file=self._file)
                    posIndex += 1
                    atomIndex += 1
                if resIndex == len(residues)-1:
                    print("TER   %5d      %3s %s%4d" % (atomIndex, resName, chainName, res.resSeq), file=self._file)
                    atomIndex += 1

        if modelIndex is not None:
            print("ENDMDL", file=self._file)

    def _write_header(self, unitcell_lengths, unitcell_angles, write_metadata=True):
        """Write out the header for a PDB file.

        Parameters
        ----------
        unitcell_lengths : {tuple, None}
            The lengths of the three unitcell vectors, ``a``, ``b``, ``c``
        unitcell_angles : {tuple, None}
            The angles between the three unitcell vectors, ``alpha``,
            ``beta``, ``gamma``
        """
        if not self._mode == 'w':
            raise ValueError('file not opened for writing')

        if unitcell_lengths is None and unitcell_angles is None:
            return
        if unitcell_lengths is not None and unitcell_angles is not None:
            if not len(unitcell_lengths) == 3:
                raise ValueError('unitcell_lengths must be length 3')
            if not len(unitcell_angles) == 3:
                raise ValueError('unitcell_angles must be length 3')
        else:
            raise ValueError('either unitcell_lengths and unitcell_angles'
                             'should both be spefied, or neither')

        box = list(unitcell_lengths) + list(unitcell_angles)
        assert len(box) == 6

        if write_metadata:
            print("REMARK   1 CREATED WITH MDTraj %s, %s" % (version.version, str(date.today())), file=self._file)
        print("CRYST1%9.3f%9.3f%9.3f%7.2f%7.2f%7.2f P 1           1 " % tuple(box), file=self._file)

    def _write_footer(self):
        if not self._mode == 'w':
            raise ValueError('file not opened for writing')

        # Identify bonds that should be listed as CONECT records.
        standardResidues = ['ALA', 'ASN', 'CYS', 'GLU', 'HIS', 'LEU', 'MET', 'PRO', 'THR', 'TYR',
                            'ARG', 'ASP', 'GLN', 'GLY', 'ILE', 'LYS', 'PHE', 'SER', 'TRP', 'VAL',
                            'A', 'G', 'C', 'U', 'I', 'DA', 'DG', 'DC', 'DT', 'DI', 'HOH']
        conectBonds = []
        if self._last_topology is not None:
            for atom1, atom2 in self._last_topology.bonds:
                if atom1.residue.name not in standardResidues or atom2.residue.name not in standardResidues:
                    conectBonds.append((atom1, atom2))
                elif atom1.name == 'SG' and atom2.name == 'SG' and atom1.residue.name == 'CYS' and atom2.residue.name == 'CYS':
                    conectBonds.append((atom1, atom2))
        if len(conectBonds) > 0:
            
            # Work out the index used in the PDB file for each atom.
            
            atomIndex = {}
            nextAtomIndex = 0
            prevChain = None
            for chain in self._last_topology.chains:
                for atom in chain.atoms:
                    if atom.residue.chain != prevChain:
                        nextAtomIndex += 1
                        prevChain = atom.residue.chain
                    atomIndex[atom] = nextAtomIndex
                    nextAtomIndex += 1
            
            # Record which other atoms each atom is bonded to.
            
            atomBonds = {}
            for atom1, atom2 in conectBonds:
                index1 = atomIndex[atom1]
                index2 = atomIndex[atom2]
                if index1 not in atomBonds:
                    atomBonds[index1] = []
                if index2 not in atomBonds:
                    atomBonds[index2] = []
                atomBonds[index1].append(index2)
                atomBonds[index2].append(index1)
            
            # Write the CONECT records.
            
            for index1 in sorted(atomBonds):
                bonded = atomBonds[index1]
                while len(bonded) > 4:
                    print("CONECT%5d%5d%5d%5d" % (index1, bonded[0], bonded[1], bonded[2]), file=self._file)
                    del bonded[:4]
                line = "CONECT%5d" % index1
                for index2 in bonded:
                    line = "%s%5d" % (line, index2)
                print(line, file=self._file)
        print("END", file=self._file)
        self._footer_written = True

    @classmethod
    def set_chain_names(cls, values):
        """Set the cycle of chain names used when writing PDB files

        When writing PDB files, PDBTrajectoryFile translates each chain's
        index into a name -- the name is what's written in the file. By
        default, chains are named with the letters A-Z.

        Parameters
        ----------
        values : list
            A list of chacters (strings of length 1) that the PDB writer will
            cycle through to choose chain names.
        """
        for item in values:
            if not isinstance(item, six.string_types) and len(item) == 1:
                raise TypeError('Names must be a single character string')
        cls._chain_names = values

    @property
    def positions(self):
        """The cartesian coordinates of all of the atoms in each frame. Available when a file is opened in mode='r'
        """
        return self._positions

    @property
    def topology(self):
        """The topology from this PDB file. Available when a file is opened in mode='r'
        """
        return self._topology

    @property
    def unitcell_lengths(self):
        "The unitcell lengths (3-tuple) in this PDB file. May be None"
        return self._unitcell_lengths

    @property
    def unitcell_angles(self):
        "The unitcell angles (3-tuple) in this PDB file. May be None"
        return self._unitcell_angles

    @property
    def closed(self):
        "Whether the file is closed"
        return not self._open

    def close(self):
        "Close the PDB file"
        if self._mode == 'w' and not self._footer_written:
            self._write_footer()
        if self._open:
            self._file.close()
        self._open = False

    def _read_models(self):
        if not self._mode == 'r':
            raise ValueError('file not opened for reading')

        self._topology = Topology()

        pdb = PdbStructure(self._file, load_all_models=True)

        atomByNumber = {}
        for chain in pdb.iter_chains():
            c = self._topology.add_chain()
            for residue in chain.iter_residues():
                resName = residue.get_name()
                if resName in PDBTrajectoryFile._residueNameReplacements:
                    resName = PDBTrajectoryFile._residueNameReplacements[resName]
                r = self._topology.add_residue(resName, c, residue.number, residue.segment_id)
                if resName in PDBTrajectoryFile._atomNameReplacements:
                    atomReplacements = PDBTrajectoryFile._atomNameReplacements[resName]
                else:
                    atomReplacements = {}
                for atom in residue.atoms:
                    atomName = atom.get_name()
                    if atomName in atomReplacements:
                        atomName = atomReplacements[atomName]
                    atomName = atomName.strip()
                    element = atom.element
                    if element is None:
                        element = self._guess_element(atomName, residue)

                    newAtom = self._topology.add_atom(atomName, element, r, serial=atom.serial_number)
                    atomByNumber[atom.serial_number] = newAtom

        # load all of the positions (from every model)
        _positions = []
        for model in pdb.iter_models(use_all_models=True):
            coords = []
            for chain in model.iter_chains():
                for residue in chain.iter_residues():
                    for atom in residue.atoms:
                        coords.append(atom.get_position())
            _positions.append(coords)

        if not all(len(f) == len(_positions[0]) for f in _positions):
            raise ValueError('PDB Error: All MODELs must contain the same number of ATOMs')

        self._positions = np.array(_positions)

        ## The atom positions read from the PDB file
        self._unitcell_lengths = pdb.get_unit_cell_lengths()
        self._unitcell_angles = pdb.get_unit_cell_angles()
        self._topology.create_standard_bonds()
        self._topology.create_disulfide_bonds(self.positions[0])

        # Add bonds based on CONECT records.
        connectBonds = []
        for connect in pdb.models[-1].connects:
            i = connect[0]
            for j in connect[1:]:
                if i in atomByNumber and j in atomByNumber:
                    connectBonds.append((atomByNumber[i], atomByNumber[j]))
        if len(connectBonds) > 0:
            # Only add bonds that don't already exist.
            existingBonds = set(self._topology.bonds)
            for bond in connectBonds:
                if bond not in existingBonds and (bond[1], bond[0]) not in existingBonds:
                    self._topology.add_bond(bond[0], bond[1])
                    existingBonds.add(bond)

    @staticmethod
    def _loadNameReplacementTables():
        """Load the list of atom and residue name replacements."""
        if len(PDBTrajectoryFile._residueNameReplacements) == 0:
            tree = etree.parse(os.path.join(os.path.dirname(__file__), 'data', 'pdbNames.xml'))
            allResidues = {}
            proteinResidues = {}
            nucleicAcidResidues = {}
            for residue in tree.getroot().findall('Residue'):
                name = residue.attrib['name']
                if name == 'All':
                    PDBTrajectoryFile._parseResidueAtoms(residue, allResidues)
                elif name == 'Protein':
                    PDBTrajectoryFile._parseResidueAtoms(residue, proteinResidues)
                elif name == 'Nucleic':
                    PDBTrajectoryFile._parseResidueAtoms(residue, nucleicAcidResidues)
            for atom in allResidues:
                proteinResidues[atom] = allResidues[atom]
                nucleicAcidResidues[atom] = allResidues[atom]
            for residue in tree.getroot().findall('Residue'):
                name = residue.attrib['name']
                for id in residue.attrib:
                    if id == 'name' or id.startswith('alt'):
                        PDBTrajectoryFile._residueNameReplacements[residue.attrib[id]] = name
                if 'type' not in residue.attrib:
                    atoms = copy(allResidues)
                elif residue.attrib['type'] == 'Protein':
                    atoms = copy(proteinResidues)
                elif residue.attrib['type'] == 'Nucleic':
                    atoms = copy(nucleicAcidResidues)
                else:
                    atoms = copy(allResidues)
                PDBTrajectoryFile._parseResidueAtoms(residue, atoms)
                PDBTrajectoryFile._atomNameReplacements[name] = atoms

    def _guess_element(self, atom_name, residue):
        "Try to guess the element name"

        upper = atom_name.upper()
        if upper.startswith('CL'):
            element = elem.chlorine
        elif upper.startswith('NA'):
            element = elem.sodium
        elif upper.startswith('MG'):
            element = elem.magnesium
        elif upper.startswith('BE'):
            element = elem.beryllium
        elif upper.startswith('LI'):
            element = elem.lithium
        elif upper.startswith('K'):
            element = elem.potassium
        elif upper.startswith('ZN'):
            element = elem.zinc
        elif len(residue) == 1 and upper.startswith('CA'):
            element = elem.calcium

        # TJL has edited this. There are a few issues here. First,
        # parsing for the element is non-trivial, so I do my best
        # below. Second, there is additional parsing code in
        # pdbstructure.py, and I am unsure why it doesn't get used
        # here...
        elif len(residue) > 1 and upper.startswith('CE'):
            element = elem.carbon  # (probably) not Celenium...
        elif len(residue) > 1 and upper.startswith('CD'):
            element = elem.carbon  # (probably) not Cadmium...
        elif residue.name in ['TRP', 'ARG', 'GLN', 'HIS'] and upper.startswith('NE'):
            element = elem.nitrogen  # (probably) not Neon...
        elif residue.name in ['ASN'] and upper.startswith('ND'):
            element = elem.nitrogen  # (probably) not ND...
        elif residue.name == 'CYS' and upper.startswith('SG'):
            element = elem.sulfur  # (probably) not SG...
        else:
            try:
                element = elem.get_by_symbol(atom_name[0])
            except KeyError:
                try:
                    symbol = atom_name[0:2].strip().rstrip("AB0123456789").lstrip("0123456789")
                    element = elem.get_by_symbol(symbol)
                except KeyError:
                    element = None

        return element

    @staticmethod
    def _parseResidueAtoms(residue, map):
        for atom in residue.findall('Atom'):
            name = atom.attrib['name']
            for id in atom.attrib:
                map[atom.attrib[id]] = name

    def __del__(self):
        self.close()

    def __enter__(self):
        return self

    def __exit__(self, *exc_info):
        self.close()

    def __len__(self):
        "Number of frames in the file"
        if str(self._mode) != 'r':
            raise NotImplementedError('len() only available in mode="r" currently')
        if not self._open:
            raise ValueError('I/O operation on closed file')
        return len(self._positions)


def _format_83(f):
    """Format a single float into a string of width 8, with ideally 3 decimal
    places of precision. If the number is a little too large, we can
    gracefully degrade the precision by lopping off some of the decimal
    places. If it's much too large, we throw a ValueError"""
    if -999.999 < f < 9999.999:
        return '%8.3f' % f
    if -9999999 < f < 99999999:
        return ('%8.3f' % f)[:8]
    raise ValueError('coordinate "%s" could not be represnted '
                     'in a width-8 field' % f)
