def get_ode_solver(self):
"""
Build and return an object for solving the Newton Law of motion (derived form the abstract class ode_solver)
"""
print("")
self.ode_solver = None
if self.ode_solver_name == "euler" :
self.ode_solver = els.EulerSolver( self.force , self.pset , self.time_step )
print( " setup - Integration method: EULER " )
elif self.ode_solver_name == "runge_kutta" :
self.ode_solver = rks.RungeKuttaSolver( self.force , self.pset , self.time_step )
print( " setup - Integration method: Runge Kutta " )
elif self.ode_solver_name == "leap_frog" :
self.ode_solver = lps.LeapfrogSolver( self.force , self.pset , self.time_step )
print( " setup - Integration method: Leap Frog " )
elif self.ode_solver_name == "stormer_verlet" :
self.ode_solver = svs.StormerVerletSolver( self.force , self.pset , self.time_step )
print( " setup - Integration method: Stormer Verlet " )
elif self.ode_solver_name == "midpoint" :
self.ode_solver = mds.MidpointSolver( self.force , self.pset , self.time_step )
print( " setup - Integration method: Midpoint " )
print( " setup - Integration method - time step: %e " % self.time_step )
return self.ode_solver
def gas_lj():
"""
Gas simulation based on the Lennard Jones force
"""
steps = 1000000
dt = 0.001
omicron = 0.05
epsilon = 1.0
rand_c = rc.RandCluster()
pset = ps.ParticlesSet(1000)
r_min = 2.0**(1. / 6.) * omicron
rand_c.insert3(X=pset.X,
M=pset.M,
start_indx=0,
n=pset.size,
radius=5.0,
mass_rng=(0.1, 0.3),
r_min=r_min)
lennard_jones = lj.LenardJones(pset.size,
pset.dim,
pset.M,
Consts=(epsilon, omicron))
solver = els.EulerSolver(lennard_jones, pset, dt)
#solver = lps.LeapfrogSolver( lennard_jones , pset , dt )
#solver = svs.StormerVerletSolver( lennard_jones , pset , dt )
#solver = rks.RungeKuttaSolver( lennard_jones , pset , dt )
#solver = mds.MidpointSolver( lennard_jones , pset , dt )
bound = pb.PeriodicBoundary(bound=(-6.0, 6.0))
pset.set_boundary(bound)
a = aogl.AnimatedGl()
a.ode_solver = solver
a.pset = pset
a.steps = steps
a.build_animation()
a.start()
return
def build_animation(self):
self.steps = 3000
self.pset = ps.ParticlesSet(1, 3)
self.ip = 0
self.pset.M[:] = 1.0
self.pset.V[:] = 0.0
self.t = np.zeros((self.steps))
self.x = np.zeros((self.steps, self.pset.dim))
self.xn = np.zeros((self.steps, self.pset.dim))
constf = cf.ConstForce(self.pset.size,
u_force=[0, 0, -10.0],
dim=self.pset.dim)
drag = dr.Drag(self.pset.size, Consts=1.0)
multi = mf.MultipleForce(self.pset.size)
multi.append_force(constf)
multi.append_force(drag)
multi.set_masses(self.pset.M)
dt = 0.001
self.odes = dict()
self.odes["Euler "] = els.EulerSolver(multi, self.pset, dt)
self.odes["Runge Kutta"] = rks.RungeKuttaSolver(multi, self.pset, dt)
self.odes["Leap Frog "] = lps.LeapfrogSolver(multi, self.pset, dt)
self.odes["MidPoint "] = mps.MidpointSolver(multi, self.pset, dt)
self.odes["Verlet "] = svs.StormerVerletSolver(
multi, self.pset, dt)
def fountain():
"""
Fountain demo
"""
steps = 10000000
dt = 0.005
pcnt = 100000
fl = True
if test_pyopencl():
print("OpenCL is installed and enabled ")
print(" Try, at least, 200000 particles ")
while fl:
try:
print(" ")
pcnt = int(raw_input('How many particles: '))
except:
print("Please insert a number! ")
else:
fl = False
pset = ps.ParticlesSet(pcnt, dtype=np.float32)
pset.M[:] = 0.1
pset.X[:, 2] = 0.7 * np.random.rand(pset.size)
grav = cf.ConstForce(pset.size, dim=pset.dim, u_force=(0.0, 0.0, -10.0))
occx = None
if test_pyopencl():
occx = occ.OpenCLcontext(
pset.size, pset.dim,
(occ.OCLC_X | occ.OCLC_V | occ.OCLC_A | occ.OCLC_M))
drag = dr.DragOCL(pset.size,
dim=pset.dim,
Consts=0.01,
ocl_context=occx)
else:
drag = dr.Drag(pset.size, dim=pset.dim, Consts=0.01)
multi = mf.MultipleForce(pset.size, dim=pset.dim)
multi.append_force(grav)
multi.append_force(drag)
multi.set_masses(pset.M)
#solver = mds.MidpointSolver( multi , pset , dt )
if test_pyopencl():
solver = els.EulerSolverOCL(multi, pset, dt, ocl_context=occx)
else:
solver = els.EulerSolver(multi, pset, dt)
solver.update_force()
default_pos.sim_time = solver.get_sim_time()
bd = (-100.0, 100.0, -100.0, 100.0, 0.0, 100.0)
bound = db.DefaultBoundary(bd, dim=3, defualt_pos=default_pos)
pset.set_boundary(bound)
a = aogl.AnimatedGl()
a.ode_solver = solver
a.pset = pset
a.steps = steps
a.draw_particles.set_draw_model(a.draw_particles.DRAW_MODEL_VECTOR)
a.init_rotation(-80, [0.7, 0.05, 0])
a.build_animation()
a.start()
return
def my_test() :
pset = ps.ParticlesSet( 10 )
lo = log.Logger( pset , 10 )
for i in range( 105 ) :
pset.X[:] = float(i)
lo.log()
print( lo.get_particles_log( 3 ) )
exit()
t = tr.Transformations()
t.set_points_tuple_size(1)
t.rotate( np.radians(90) , 1 , 0 , 0 )
#t.rotX( np.radians(90) )
t.append_point( list( [1,0,0] ) )
t.append_point( np.array( [1,1,0] ) )
t.append_point( np.array( [1,1,1] ) )
t.append_point( np.array( [0,1,1] ) )
t.push_matrix()
t.identity()
t.translation( 10 , 2 , 2 )
#t.rotate( np.radians(20) , 1 , 1 , 1 )
t.append_point( [1,1,1] )
t.append_point( np.matrix( [0,1,1] ).T )
t.pop_matrix()
t.append_point( np.array( [1,0,0] ) )
t.append_point( [1,1,0] )
t.append_point( np.array( [1,1,1] ) )
t.append_point( [0,1,1] )
#print( t.transform(pt[0] , pt[1] , pt[2] ) )
print("")
for (p) in t :
print( p )
exit()
n = 10
dt = 0.005
#dt = 0.0023453
steps = 1000000
G = 0.001
#G = 6.67384e-11
FLOOR = -10
CEILING = 10
#ff = fc.FileCluster()
#ff.open( options.path_name )
pset = ps.ParticlesSet( n , label=True )
pset.label[8] = "tttt"
pset.label[9] = "tzzzttt"
pset.add_property_by_name("ciao",dim=1 , model="list")
pset.get_by_name("ciao")[3] = 100
pset.get_by_name("X")[3,:] = 101
sz = 15
pset.resize( sz )
tree = ot.OcTree()
pset.get_by_name("X")[:] = np.random.rand(sz,3)
pset.get_by_name("M")[:] = 1.0
pset.update_centre_of_mass()
print(" C O M pset")
print( pset.centre_of_mass() )
print("")
csrt = ct.ConstrainedX( pset )
cfit = cfi.ConstrainedForceInteractions( pset )
cfit.add_connections( [[12,3],[4,4],[6,8],[1,1]] )
cfit.remove_connections( [[12,3]] )
print( cfit.dense )
print( cfit.sparse )
print( cfit.items )
cc = np.array( [[1,2,3],[3,3,3]] )
cc = np.array( [[1,2,3],[3,3,5]] )
csrt.add_x_constraint( [2,5] , cc )
csrt.add_x_constraint( [7,10] , cc )
print( csrt.get_cx_indicies() )
print( csrt.cX )
csrt.remove_x_constraint( [2,10] )
print( csrt.get_cx_indicies() )
print( csrt.cX )
exit()
tree.set_global_boundary()
a = time.time()
tree.build_tree( pset )
b = time.time()
print( "Tot time: % f" %(b-a) )
C = np.array([0.5,0.4,0.3])
R = 0.05
a = time.time()
for ix in range( pset.size ):
nl = tree.search_neighbour( pset.X[ix,:] , R )
b = time.time()
print( "Tot time octree : % f" %(b-a) )
nl = np.sort( nl )
print("")
print("nl:")
print( nl )
print("")
print("dd:")
a = time.time()
for ix in range( pset.size ):
dd = np.sqrt( np.sum( (pset.X[ix,:] - pset.X)**2 , 1 ) )
din, = np.where( dd <= R )
b = time.time()
print( "Tot time numpy : % f" %(b-a) )
print( din )
print(" C O M")
print( tree.centre_of_mass )
print("")
print ( np.all( nl == din ) )
#tree.print_tree()
#print( pset.get_by_name( "ciao" ) )
#print( pset.get_by_name( "X" ) )
#print("")
#print( pset.X )
#print( pset.label )
exit()
return
#ff.insert3( pset )
#ff.close()
#pset.unit = 149597870700.0
#pset.mass_unit = 5.9736e24
cs = clu.RandCluster()
cs.insert3( pset.X , M=pset.M , V=pset.V ,
n = n/2 , centre=(-1.5,1,0.5) , mass_rng=(0.5,5.0) ,
vel_rng=(0,0) , vel_mdl="bomb" )
cs.insert3( pset.X , M=pset.M , V=pset.V ,
start_indx=int(n/2) , n = int(n/2) , centre=(1.5,-0.5,0.5) ,
vel_rng=(0.2,0.4) , vel_mdl="const" , vel_dir=[-1.0,0.0,0.0] )
#
grav = gr.Gravity( pset.size , Consts=G )
#grav = cf.ConstForce(n , u_force=[0,0,-1.0] )
#grav = MyField( pset.size , dim=3 )
#grav = ls.LinearSpring( pset.size , Consts=10e8 )
grav.set_masses( pset.M )
bound = None
#bound = pb.PeriodicBoundary( (-50.0 , 50.0) )
#bound = rb.ReboundBoundary( (-10.0 , 10.0) )
pset.set_boundary( bound )
grav.update_force( pset )
solver = els.EulerSolver( grav , pset , dt )
#solver = lps.LeapfrogSolver( grav , pset , dt )
#solver = svs.StormerVerletSolver( grav , pset , dt )
#solver = rks.RungeKuttaSolver( grav , pset , dt )
a = aogl.AnimatedGl()
# a = anim.AnimatedScatter()
a.xlim = ( FLOOR , CEILING )
a.ylim = ( FLOOR , CEILING )
a.zlim = ( FLOOR , CEILING )
a.ode_solver = solver
a.pset = pset
a.steps = steps
a.build_animation()
a.start()
return
