import unittest import tempfile from datetime import datetime, timedelta from simtk.openmm import * from simtk.openmm.app import * from simtk.unit import * import math, random class TestIntegrators(unittest.TestCase): """Test Python Integrator classes""" def testMTSIntegratorExplicit(self): """Test the MTS integrator on an explicit solvent system""" # Create a periodic solvated system with PME pdb = PDBFile('systems/alanine-dipeptide-explicit.pdb') ff = ForceField('amber99sbildn.xml', 'tip3p.xml') system = ff.createSystem(pdb.topology, cutoffMethod=PME) # Split forces into groups for force in system.getForces(): if force.__class__.__name__ == 'NonbondedForce': force.setForceGroup(1) force.setReciprocalSpaceForceGroup(2) else: force.setForceGroup(0) # Create an integrator integrator = MTSIntegrator(4*femtoseconds, [(2,1), (1,2), (0,8)]) # Run a few steps of dynamics context = Context(system, integrator) context.setPositions(pdb.positions) integrator.step(10) # Ensure energy is well-behaved. state = context.getState(getEnergy=True) if not (state.getPotentialEnergy() / kilojoules_per_mole < 0.0): raise Exception('Potential energy of alanine dipeptide system with MTS integrator is blowing up: %s' % str(state.getPotentialEnergy())) # Clean up del context, integrator def testMTSIntegratorConstraints(self): """Test the MTS integrator energy conservation on a system of constrained particles with no inner force (just constraints)""" # Create a constrained test system numParticles = 8 numConstraints = 5 system = System() force = NonbondedForce() for i in range(numParticles): system.addParticle(5.0 if i%2==0 else 10.0) force.addParticle((0.2 if i%2==0 else -0.2), 0.5, 5.0); system.addConstraint(0, 1, 1.0); system.addConstraint(1, 2, 1.0); system.addConstraint(2, 3, 1.0); system.addConstraint(4, 5, 1.0); system.addConstraint(6, 7, 1.0); system.addForce(force) # Create integrator where inner timestep just evaluates constraints integrator = MTSIntegrator(1*femtoseconds, [(1,1), (0,4)]) integrator.setConstraintTolerance(1e-5); positions = [ (i/2., (i+1)/2., 0.) for i in range(numParticles) ] velocities = [ (random.random()-0.5, random.random()-0.5, random.random()-0.5) for i in range(numParticles) ] # Create Context platform = Platform.getPlatformByName('Reference') context = Context(system, integrator, platform) context.setPositions(positions) context.setVelocities(velocities) context.applyConstraints(1e-5) # Simulate it and see whether the constraints remain satisfied. CONSTRAINT_RELATIVE_TOLERANCE = 1.e-4 # relative constraint violation tolerance ENERGY_RELATIVE_TOLERANCE = 1.e-2 # relative energy violation tolerance for i in range(1000): state = context.getState(getPositions=True, getEnergy=True) positions = state.getPositions() for j in range(numConstraints): [particle1, particle2, constraint_distance] = system.getConstraintParameters(j) current_distance = 0.0 * nanometers**2 for k in range(3): current_distance += (positions[particle1][k] - positions[particle2][k])**2 current_distance = sqrt(current_distance) # Fail test if outside of relative tolerance relative_violation = (current_distance - constraint_distance) / constraint_distance if (relative_violation > CONSTRAINT_RELATIVE_TOLERANCE): raise Exception('Constrained distance is violated by relative tolerance of %f (constraint %s actual %s)' % (relative_violation, str(constraint_distance), str(current_distance))) # Check total energy total_energy = state.getPotentialEnergy() + state.getKineticEnergy() if (i == 1): initial_energy = total_energy elif (i > 1): relative_violation = abs((total_energy - initial_energy) / initial_energy) if (relative_violation > ENERGY_RELATIVE_TOLERANCE): raise Exception('Total energy is violated by relative tolerance of %f on step %d (initial %s final %s)' % (relative_violation, i, str(initial_energy), str(total_energy))) # Take a step integrator.step(1) if __name__ == '__main__': unittest.main()