def pbc_distance(s, p1, p2):
"""pysimm.calc.pbc_distance
Calculates distance between particles using PBC
Args:
s: :class:`~pysimm.system.System`
p1: :class:`~pysimm.system.Particle`
p2: :class:`~pysimm.system.Particle`
Returns:
distance between particles
"""
if not np:
raise PysimmError('pysimm.calc.pbc_distance function requires numpy')
frac_x1 = p1.x / s.dim.dx
frac_y1 = p1.y / s.dim.dy
frac_z1 = p1.z / s.dim.dz
frac_x2 = p2.x / s.dim.dx
frac_y2 = p2.y / s.dim.dy
frac_z2 = p2.z / s.dim.dz
frac_d = np.array([frac_x1 - frac_x2, frac_y1 - frac_y2, frac_z1 - frac_z2])
frac_d = frac_d - np.round(frac_d)
dx = frac_d[0] * s.dim.dx
dy = frac_d[1] * s.dim.dy
dz = frac_d[2] * s.dim.dz
return np.linalg.norm([dx, dy, dz])
def find_rotation(a, b):
"""pysimm.calc.find_rotation
Finds rotation vector required to align vector a and vector b
Args:
a: 3D vector [x,y,z]
b: 3D vector [x,y,z]
Returns:
rotation matrix
"""
if not np:
raise PysimmError('pysimm.calc.find_rotation function requires numpy')
a = np.array(a)
b = np.array(b)
a_x_b = np.cross(a, b)
axis = a_x_b / np.linalg.norm(a_x_b)
theta = acos(np.dot(a, b) / np.linalg.norm(a) / np.linalg.norm(b))
skew = np.matrix([[0, -axis[2], axis[1]],
[axis[2], 0, -axis[0]],
[-axis[1], axis[0], 0]])
rot_matrix = np.identity(3) + sin(theta)*skew + (1 - cos(theta))*skew*skew
return rot_matrix
def rotate_vector(x, y, z, theta_x=None, theta_y=None, theta_z=None):
"""pysimm.calc.rotate_vector
Rotates 3d vector around x-axis, y-axis and z-axis given by user defined angles
Args:
x: x vector component
y: y vector component
z: z vector component
theta_x: angle to rotate vector around x axis
theta_y: angle to rotate vector around y axis
theta_z: angle to rotate vector around z axis
Returns:
new vector [x,y,z]
"""
if not np:
raise PysimmError('pysimm.calc.rotate_vector function requires numpy')
xt = random() * 2 * pi if theta_x is None else theta_x
yt = random() * 2 * pi if theta_y is None else theta_y
zt = random() * 2 * pi if theta_z is None else theta_z
c = np.array((x, y, z))
rot_mat_x = np.array([[1, 0, 0], [0, cos(xt), -sin(xt)],
[0, sin(xt), cos(xt)]])
rot_mat_y = np.array([[cos(yt), 0, sin(yt)], [0, 1, 0],
[-sin(yt), 0, cos(yt)]])
rot_mat_z = np.array([[cos(zt), -sin(zt), 0], [sin(zt),
cos(zt), 0], [0, 0, 1]])
return list(np.dot(rot_mat_z, np.dot(rot_mat_y, np.dot(rot_mat_x, c))))
def chiral_angle(a, b, c, d):
"""pysimm.calc.chiral_angle
Finds chiral angle between four pysimm.system.Particle objects
Args:
a: pysimm.system.Particle
b: pysimm.system.Particle
c: pysimm.system.Particle
d: pysimm.system.Particle
Returns:
chiral angle for particles
"""
if not np:
raise PysimmError('pysimm.calc.chiral_angle function requires numpy')
ht = np.array([a.x - b.x, a.y - b.y, a.z - b.z])
ht /= np.linalg.norm(ht)
hmethyl = np.array([a.x - d.x, a.y - d.y, a.z - d.z])
hmethyl /= np.linalg.norm(hmethyl)
hside = np.array([a.x - c.x, a.y - c.y, a.z - c.z])
hside /= np.linalg.norm(hside)
side_x_methyl = np.cross(hside, hmethyl)
side_dot_methyl = np.dot(hside, hmethyl)
side_theta_methyl = acos(side_dot_methyl)
side_x_methyl /= sin(side_theta_methyl)
cos_theta = np.dot(side_x_methyl, ht)
return acos(cos_theta) / pi * 180
def rotate_vector(x, y, z, theta_x=None, theta_y=None, theta_z=None):
"""pysimm.calc.rotate_vector
Rotates vector
Args:
x: x vector component
y: y vector component
z: z vector component
theta_x: angle to rotate vector around x axis
theta_y: angle to rotate vector around y axis
theta_z: angle to rotate vector around z axis
Returns:
new vector [x,y,z]
"""
if not np:
raise PysimmError('pysimm.calc.rotate_vector function requires numpy')
xt = random() * 2 * pi if theta_x is None else theta_x
yt = random() * 2 * pi if theta_y is None else theta_y
zt = random() * 2 * pi if theta_z is None else theta_z
c = np.matrix([[x], [y], [z]])
rot_mat_x = np.matrix([[1, 0, 0], [0, cos(xt), -sin(xt)],
[0, sin(xt), cos(xt)]])
rot_mat_y = np.matrix([[cos(yt), 0, sin(yt)], [0, 1, 0],
[-sin(yt), 0, cos(yt)]])
rot_mat_z = np.matrix([[cos(zt), -sin(zt), 0], [sin(zt),
cos(zt), 0], [0, 0, 1]])
c = rot_mat_x * c
c = rot_mat_y * c
c = rot_mat_z * c
return [x[0] for x in c.tolist()]
def rot_hyperbola(x, a, b, c, d, e, th):
if not np:
raise PysimmError('pysimm.calc.rot_hyperbola function requires numpy')
pars = a, b, c, 0, 0 # do the shifting after rotation
xd = x - d
hsin = hyperbola(xd, *pars) * np.sin(th)
xcos = xd * np.cos(th)
return e + hyperbola(xcos - hsin, *pars) * np.cos(th) + xcos - hsin
def hyperbola(x, a, b, c, d, e):
if not np:
raise PysimmError('pysimm.calc.hyperbola function requires numpy')
# hyperbola(x) with parameters
# a/b = asymptotic slope
# c = curvature at vertex
# d = offset to vertex
# e = vertical offset
return a * np.sqrt((b * c)**2 + (x - d)**2) / b + e
def distance(p1, p2):
"""pysimm.calc.distance
Finds distance between two :class:`~pysimm.system.Particle` objects. Simply calculates length of vector between particle coordinates and does not consider periodic boundary conditions.
Args:
p1: :class:`~pysimm.system.Particle`
p2: :class:`~pysimm.system.Particle`
Returns:
distance between particles
"""
if not np:
raise PysimmError('pysimm.calc.distance function requires numpy')
return np.linalg.norm([p1.x - p2.x, p1.y - p2.y, p1.z - p2.z])
def distance(p1, p2):
"""pysimm.calc.distance
Finds distance between two pysimm.system.Particle objects
Args:
p1: pysimm.system.Particle
p2: pysimm.system.Particle
Returns:
distance between particles
"""
if not np:
raise PysimmError('pysimm.calc.distance function requires numpy')
return np.linalg.norm([p1.x - p2.x, p1.y - p2.y, p1.z - p2.z])
def rotate_vector(x, y, z, theta_x=None, theta_y=None, theta_z=None):
"""pysimm.calc.rotate_vector
Rotates 3d vector around x-axis, y-axis and z-axis given by user defined angles
Args:
x: x vector component
y: y vector component
z: z vector component
theta_x: angle to rotate vector around x axis
theta_y: angle to rotate vector around y axis
theta_z: angle to rotate vector around z axis
Returns:
new vector [x,y,z]
"""
if not np:
raise PysimmError('pysimm.calc.rotate_vector function requires numpy')
xt = random() * 2 * pi if theta_x is None else theta_x
yt = random() * 2 * pi if theta_y is None else theta_y
zt = random() * 2 * pi if theta_z is None else theta_z
#cJ PendingDeprecationWarning: the matrix subclass
c = np.array([[x], [y], [z]])
rot_mat_x = np.array([[1, 0, 0],
[0, cos(xt), -sin(xt)],
[0, sin(xt), cos(xt)]])
rot_mat_y = np.array([[cos(yt), 0, sin(yt)],
[0, 1, 0],
[-sin(yt), 0, cos(yt)]])
rot_mat_z = np.array([[cos(zt), -sin(zt), 0],
[sin(zt), cos(zt), 0],
[0, 0, 1]])
c = np.dot(rot_mat_x, c)
c = np.dot(rot_mat_y, c)
c = np.dot(rot_mat_z, c)
return [x[0] for x in c.tolist()]
def chiral_angle(a, b, c, d):
"""pysimm.calc.chiral_angle
Finds chiral angle between four :class:`~pysimm.system.Particle` objects. Chiral angle is defined as the angle between the vector resulting from vec(a->c) X vec(a->d) and vec(a->b). Used to help define tacticity where backbone follow b'--a--b and c and d are side groups.
b'--a--b
/ \
c d
Args:
a: pysimm.system.Particle
b: pysimm.system.Particle
c: pysimm.system.Particle
d: pysimm.system.Particle
Returns:
chiral angle
"""
if not np:
raise PysimmError('pysimm.calc.chiral_angle function requires numpy')
ht = np.array([a.x-b.x, a.y-b.y, a.z-b.z])
ht /= np.linalg.norm(ht)
hmethyl = np.array([a.x-d.x, a.y-d.y, a.z-d.z])
hmethyl /= np.linalg.norm(hmethyl)
hside = np.array([a.x-c.x, a.y-c.y, a.z-c.z])
hside /= np.linalg.norm(hside)
side_x_methyl = np.cross(hside, hmethyl)
side_dot_methyl = np.dot(hside, hmethyl)
side_theta_methyl = acos(side_dot_methyl)
side_x_methyl /= sin(side_theta_methyl)
cos_theta = np.dot(side_x_methyl, ht)
return acos(cos_theta)/pi*180
def tacticity(s, a_tag=None, b_tag=None, c_tag=None, d_tag=None, offset=None, return_angles=True, unwrap=True,
rewrap=True, skip_first=False):
"""pysimm.calc.tacticity
Determines tacticity for polymer chain. Iterates through groups of four patricles given by X_tags, using offset. This assumes equivalent atoms in each group of four are perfectly offset.
Args:
s: :class:`~pysimm.system.System`
a_tag: tag of first a particle
b_tag: tag of first b particle
c_tag: tag of first c particle
d_tag: tag of first d particle
offset: offset of particle tags (monomer repeat atomic count)
return_angles: if True return chiral angles of all monomers
unwrap: True to perform unwrap before calculation (REQUIRED before calculation, but not required in this
function)
rewrap: True to rewrap system after calculation
skip_first: True to skip first monomer (sometime chirality is poorly defined for thsi monomer)
Returns:
tacticity or tacticity, [chiral_angles]
"""
if not np:
raise PysimmError('pysimm.calc.tacticity function requires numpy')
if a_tag is None or b_tag is None or c_tag is None or d_tag is None:
error_print('particle tags for chiral center are required')
error_print('a: chiral center, b-d: 3 side groups')
if offset is None:
error_print('offset for tags in each monomer is required, i.e. - number of particles in each monomer')
if unwrap:
s.unwrap()
a_ = [s.particles[i] for i in range(a_tag, s.particles.count, offset)]
b_ = [s.particles[i] for i in range(b_tag, s.particles.count, offset)]
c_ = [s.particles[i] for i in range(c_tag, s.particles.count, offset)]
d_ = [s.particles[i] for i in range(d_tag, s.particles.count, offset)]
stereochem_angles = []
if skip_first:
for a, b, c, d in izip(a_[1:], b_[1:], c_[1:], d_[1:]):
stereochem_angles.append(chiral_angle(a, b, c, d))
else:
for a, b, c, d in izip(a_, b_, c_, d_):
stereochem_angles.append(chiral_angle(a, b, c, d))
last = None
iso_diads = 0
syn_diads = 0
for a in stereochem_angles:
if last is not None:
if (a < 90 and last < 90) or (a > 90 and last > 90):
iso_diads += 1
else:
syn_diads += 1
last = a
if iso_diads == (len(stereochem_angles) - 1):
t = 'isotactic'
elif syn_diads == (len(stereochem_angles) - 1):
t = 'syndiotactic'
else:
t = 'atactic'
if rewrap:
s.wrap()
print('{:.1f}% syn diads'.format(100*float(syn_diads)/(syn_diads+iso_diads)))
print('{:.1f}% iso diads'.format(100*float(iso_diads)/(syn_diads+iso_diads)))
if return_angles:
return t, stereochem_angles
else:
return t
def call_lammps(simulation, np, nanohub):
"""pysimm.lmps.call_lammps
Wrapper to call LAMMPS using executable name defined in pysimm.lmps module.
Args:
simulation: pysimm.lmps.Simulation object reference
np: number of threads to use
nanohub: dictionary containing nanohub resource information default=None
Returns:
None
"""
if nanohub:
if simulation.name:
print('%s: sending %s simulation to computer cluster at nanoHUB' % (strftime('%H:%M:%S'), simulation.name))
sys.stdout.flush()
cmd = ('submit -n %s -w %s -i temp.lmps -i temp.in '
'lammps-09Dec14-parallel -e both -l none -i temp.in'
% (nanohub.get('cores'), nanohub.get('walltime')))
cmd = shlex.split(cmd)
exit_status, stdo, stde = RapptureExec(cmd)
else:
if simulation.name:
print('%s: starting %s simulation using LAMMPS'
% (strftime('%H:%M:%S'), simulation.name))
else:
print('%s: starting simulation using LAMMPS'
% strftime('%H:%M:%S'))
if np:
p = Popen(['mpiexec', '-np', str(np),
LAMMPS_EXEC, '-e', 'both', '-l', 'none'],
stdin=PIPE, stdout=PIPE, stderr=PIPE)
else:
p = Popen(['mpiexec', LAMMPS_EXEC, '-e', 'both', '-l', 'none'],
stdin=PIPE, stdout=PIPE, stderr=PIPE)
simulation.write_input()
p.stdin.write(simulation.input)
q = Queue()
t = Thread(target=enqueue_output, args=(p.stdout, q))
t.daemon = True
t.start()
while t.isAlive() or not q.empty():
try:
line = q.get_nowait()
except Empty:
pass
else:
if simulation.print_to_screen:
sys.stdout.write(line)
sys.stdout.flush()
simulation.system.read_lammps_dump('pysimm.dump.tmp')
'''if simulation.write:
n = read_lammps(simulation.write, quiet=True,
pair_style=simulation.system.pair_style,
bond_style=simulation.system.bond_style,
angle_style=simulation.system.angle_style,
dihedral_style=simulation.system.dihedral_style,
improper_style=simulation.system.improper_style)
else:
n = read_lammps('pysimm_md.lmps', quiet=True,
pair_style=simulation.system.pair_style,
bond_style=simulation.system.bond_style,
angle_style=simulation.system.angle_style,
dihedral_style=simulation.system.dihedral_style,
improper_style=simulation.system.improper_style)
for p in n.particles:
p_ = simulation.system.particles[p.tag]
p_.x = p.x
p_.y = p.y
p_.z = p.z
p_.vx = p.vx
p_.vy = p.vy
p_.vz = p.vz
simulation.system.dim = n.dim'''
try:
os.remove('temp.lmps')
except OSError as e:
print e
if os.path.isfile('pysimm.qeq.tmp'):
os.remove('pysimm.qeq.tmp')
try:
os.remove('pysimm.dump.tmp')
if simulation.name:
print('%s: %s simulation using LAMMPS successful'
% (strftime('%H:%M:%S'), simulation.name))
else:
print('%s: molecular dynamics using LAMMPS successful'
% (strftime('%H:%M:%S')))
except OSError as e:
if simulation.name:
raise PysimmError('%s simulation using LAMMPS UNsuccessful' % simulation.name)
else:
raise PysimmError('molecular dynamics using LAMMPS UNsuccessful')
'''if not simulation.write:
