Esempio n. 1
0
    def build_animation(self):

        self.steps = 6000
        dt = 0.004

        self.ip = 1

        self.pset = ps.ParticlesSet(2, 3)
        self.pset.M[:] = 1.0
        self.pset.V[:] = 0.0

        self.pset.X[0, :] = 0.0
        self.pset.X[1, :] = 1.0 / np.sqrt(3)

        ci = np.array([0])
        cx = np.array([0.0, 0.0, 0.0])

        costrs = csx.ConstrainedX(self.pset)
        costrs.add_x_constraint(ci, cx)

        self.t = np.zeros((self.steps))
        self.x = np.zeros((self.steps, self.pset.dim))

        self.xn = np.zeros((self.steps, self.pset.dim))

        spring = ls.LinearSpring(self.pset.size, self.pset.dim, Consts=1.0)
        damp = da.Damping(self.pset.size, self.pset.dim, Consts=0.5)

        multi = mf.MultipleForce(self.pset.size)

        multi.append_force(spring)
        multi.append_force(damp)

        multi.set_masses(self.pset.M)

        self.odes = dict()

        self.odes["Euler      "] = els.EulerSolverConstrained(
            multi, self.pset, dt, costrs)
        self.odes["Runge Kutta"] = rks.RungeKuttaSolverConstrained(
            multi, self.pset, dt, costrs)
        self.odes["Leap Frog  "] = lps.LeapfrogSolverConstrained(
            multi, self.pset, dt, costrs)
        self.odes["MidPoint   "] = mps.MidpointSolverConstrained(
            multi, self.pset, dt, costrs)
        self.odes["Verlet     "] = svs.StormerVerletSolverConstrained(
            multi, self.pset, dt, costrs)
Esempio n. 2
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    def build_animation(self):

        self.steps = 6000
        dt = 0.004

        self.ip = 1

        self.pset = ps.ParticlesSet(2, 3)
        self.pset.M[:] = 1.0
        self.pset.V[:] = 0.0

        self.pset.X[0, :] = 0.0
        self.pset.X[1, :] = 1.0 / np.sqrt(3)

        ci = np.array([0])
        cx = np.array([0.0, 0.0, 0.0])

        costrs = csx.ConstrainedX(self.pset)
        costrs.add_x_constraint(ci, cx)

        self.t = np.zeros((self.steps))
        self.x = np.zeros((self.steps, self.pset.dim))

        self.xn = np.zeros((self.steps, self.pset.dim))

        spring = ls.LinearSpring(self.pset.size, self.pset.dim, Consts=1.0)

        spring.set_masses(self.pset.M)

        self.odes = dict()

        self.odes["Euler      "] = asc.EulerSolverConstrained(
            spring, self.pset, dt, costrs)
        self.odes["Runge Kutta"] = rkc.RungeKuttaSolverConstrained(
            spring, self.pset, dt, costrs)
        self.odes["Leap Frog  "] = lpc.LeapfrogSolverConstrained(
            spring, self.pset, dt, costrs)
        self.odes["MidPoint   "] = mdc.MidpointSolverConstrained(
            spring, self.pset, dt, costrs)
        self.odes["Verlet     "] = svc.StormerVerletSolverConstrained(
            spring, self.pset, dt, costrs)
Esempio n. 3
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def spring_constr():
    """
    Constrained catenary springs demo
    """

    dt = 0.01
    steps = 1000000

    K = 60

    x = list([])
    m = list([])
    #v = list([])

    d = 0.1

    ar = np.arange(-4.0, 4.0 + d, d)

    for i in ar:
        x.append(list([i, i, 3.0]))
        m.append(list([1.0 / float(len(ar))]))
        #v.append( list([0.0]) )

    pset = ps.ParticlesSet(len(ar), 3)

    pset.X[:] = np.array(x, np.float64)
    pset.M[:] = np.array(m, np.float64)
    pset.V[:] = 0.0

    pset.X[10:12, 2] = 4
    pset.X[15:20, 1] = 4
    #pset.X[10:15,1] = 6

    ci = np.array([0, len(ar) - 1])
    cx = np.array([[-4.0, -4.0, 3.0], [4.0, 4.0, 3.0]])

    f_conn = list([])
    for i in range(len(ar) - 1):
        f_conn.append(list([i, i + 1]))

    f_conn = np.array(f_conn, np.float64)

    costrs = csx.ConstrainedX(pset)
    costrs.add_x_constraint(ci, cx)

    fi = cfi.ConstrainedForceInteractions(pset)

    fi.add_connections(f_conn)

    spring = lsc.LinearSpringConstrained(pset.size,
                                         pset.dim,
                                         pset.M,
                                         Consts=K,
                                         f_inter=fi)
    constf = cf.ConstForce(pset.size, dim=pset.dim, u_force=[0, 0, -10])
    drag = dr.Drag(pset.size, pset.dim, Consts=0.003)
    #damp = da.Damping( pset.size , pset.dim , Consts=0.003 )

    multif = mf.MultipleForce(pset.size, pset.dim)
    multif.append_force(spring)
    multif.append_force(constf)
    multif.append_force(drag)

    multif.set_masses(pset.M)

    solver = els.EulerSolverConstrained(multif, pset, dt, costrs)
    #solver = lpc.LeapfrogSolverConstrained( multif , pset , dt , costrs )
    #solver = svc.StormerVerletSolverConstrained( multif , pset , dt , costrs )
    #solver = rkc.RungeKuttaSolverConstrained( multif , pset , dt , costrs )
    #solver = mdc.MidpointSolverConstrained( multif , pset , dt , costrs )

    a = aogl.AnimatedGl()

    pset.enable_log(True, log_max_size=1000)

    a.trajectory = False
    a.trajectory_step = 1

    a.ode_solver = solver
    a.pset = pset
    a.steps = steps

    a.init_rotation(-80, [0.7, 0.05, 0])

    a.build_animation()

    a.start()

    return
Esempio n. 4
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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