Commit b7c3f69d authored by cmaffeo2's avatar cmaffeo2
Browse files

Added routines for applying grid potentials

parent 3a7e63fc
......@@ -843,12 +843,14 @@ diffusion {diffusivity}
if 'grid' in particleParams:
if not isinstance(pt.grid, list): pt.grid = [pt.grid]
for g in pt.grid:
fh.write("gridFile {}\n".format(g))
## TODO: make this prettier? multiple scaling factors?
gridFileScale = 1.0
if 'gridFileScale' in pt.__dict__: gridFileScale = pt.gridFileScale
fh.write("gridFileScale {}\n".format(gridFileScale))
for g,s in pt.grid:
## TODO, use Path.relative_to?
fh.write("gridFile {}\n".format(g.relative_to(os.getcwd())))
fh.write("gridFile {}\n".format(g))
fh.write("gridFileScale {}\n".format(s))
fh.write("gridFile {}/null.dx\n".format(self.potential_directory))
import pdb
from pathlib import Path
import numpy as np
import random
from .model.arbdmodel import PointParticle, ParticleType, Group, ArbdModel
......@@ -1386,7 +1387,7 @@ class SegmentModel(ArbdModel):
self._bonded_potential = dict() # cache for bonded potentials
self.potentials = []
self.grid_potentials = []
self._generate_bead_model( max_basepairs_per_bead, max_nucleotides_per_bead, local_twist, escapable_twist)
self.useNonbondedScheme( nbDnaScheme )
......@@ -1908,6 +1909,7 @@ class SegmentModel(ArbdModel):
for b,c in zip(beads,clusters):
_assign_bead_type(b, cluster_size[c-1], decimals=order)
# for bead in [b for s in segments for b in s]:
# num_nt0 = bead.num_nt
......@@ -2728,6 +2730,27 @@ proc calcforces {} {
dx = dy = dz = max((dx,dy,dz))
self.dimensions = [dx,dy,dz]
def add_grid_potential(self, grid_file, scale=1, per_nucleotide=True):
grid_file = Path(grid_file)
if not grid_file.is_file():
raise ValueError("Grid file {} does not exist".format(grid_file))
if not grid_file.is_absolute():
grid_file = Path.cwd() / grid_file
def _apply_grid_potentials_to_beads(self, bead_type_dict):
if len(self.grid_potentials) > 1:
raise NotImplementedError("Multiple grid potentials are not yet supported")
for grid_file, scale, per_nucleotide in self.grid_potentials:
for key,particle_type in bead_type_dict.items():
if[0] == "O": continue
s = scale*particle_type.nts if per_nucleotide else scale
particle_type.grid = particle_type.grid + (grid_file, s)
particle_type.grid = tuple((grid_file, s))
def _generate_atomic_model(self, scale=1):
## TODO: deprecate
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