コード例 #1
0
    def __init__(self, *parameters):
        """
        :param parameters: one of

            1) three lattice vectors or

            2) six numbers: the lengths of the three lattice
               vectors (a, b, c) followed by the three
               angles (alpha, beta, gamma).

        """
        if len(parameters) == 6:
            self.a, self.b, self.c, self.alpha, self.beta, self.gamma = \
                    parameters
            e1 = Vector(self.a, 0, 0)
            e2 = self.b * Vector(N.cos(self.gamma), N.sin(self.gamma), 0.)
            e3_x = N.cos(self.beta)
            e3_y = (N.cos(self.alpha)-N.cos(self.beta)*N.cos(self.gamma)) \
                   / N.sin(self.gamma)
            e3_z = N.sqrt(1. - e3_x**2 - e3_y**2)
            e3 = self.c * Vector(e3_x, e3_y, e3_z)
            self.basis = (e1, e2, e3)
        elif len(parameters) == 3:
            assert isVector(parameters[0])
            assert isVector(parameters[1])
            assert isVector(parameters[2])
            self.basis = list(parameters)
            e1, e2, e3 = self.basis
            self.a = e1.length()
            self.b = e2.length()
            self.c = e3.length()
            self.alpha = N.arccos(e2 * e3 / (self.b * self.c))
            self.beta = N.arccos(e1 * e3 / (self.a * self.c))
            self.gamma = N.arccos(e1 * e2 / (self.a * self.b))
        else:
            raise ValueError("Parameter list incorrect")

        r = LA.inverse(N.transpose([e1, e2, e3]))
        self.reciprocal_basis = [Vector(r[0]), Vector(r[1]), Vector(r[2])]
コード例 #2
0
 def __call__(self, *args):
     arglist = []
     nvector = 0
     index = 0
     for a in args:
         if isVector(a):
             arglist.append(
                 Derivatives.DerivVector(a.x(), a.y(), a.z(), index, 2))
             nvector = nvector + 1
             index = index + 3
         else:
             arglist.append(a)
     e = apply(self.func, tuple(arglist))
     return EnergyGradientsForceConstants(e, nvector)
コード例 #3
0
 def __mul__(self, other):
     if isParticleProperty(other):
         if self.universe != other.universe:
             raise ValueError('Variables are for different universes')
         if other.value_rank == 0:
             return ParticleTensor(
                 self.universe,
                 self.array * other.array[:, N.NewAxis, N.NewAxis])
         else:
             raise TypeError('not yet implemented')
     elif isVector(other):
         raise TypeError('not yet implemented')
     elif isTensor(other):
         raise TypeError('not yet implemented')
     else:
         return ParticleTensor(self.universe, self.array * other)
コード例 #4
0
 def __init__(self,
              point1,
              point2,
              start,
              ratio,
              point_distance,
              cylinder_radius=0.,
              **attr):
     axis = (point2 - point1).normal()
     angle = Numeric.arctan(ratio)
     if isVector(start):
         rvect = start - point1
         rvect = rvect - (rvect * axis) * axis
         radius = rvect.length()
     else:
         radius = start
         while 1:
             direction = axis.cross(randomDirection())
             if direction.length() > 1.e-3:
                 break
         start = point1 + radius * direction.normal()
     x = point_distance * Numeric.cos(angle)
     y = point_distance * Numeric.sin(angle)
     npoints = (point2 - point1).length() / y
     tr = Translation(y*axis+point1) \
          * Rotation(axis, x/(2.*Numeric.pi*radius)) * Translation(-point1)
     p = start
     self.start_point = p
     objects = []
     for i in range(npoints):
         np = tr(p)
         if cylinder_radius == 0.:
             objects.append(apply(graphics.Line, (p, np), attr))
         else:
             objects.append(
                 apply(graphics.Cylinder, (p, np, cylinder_radius), attr))
         p = np
     self.end_point = p
     graphics.Group.__init__(self, objects)
コード例 #5
0
 def _checkCompatibility(self, other, allow_scalar=False):
     if isParticleProperty(other):
         if other.data_rank != self.data_rank:
             raise TypeError('Incompatible types')
         if self.universe != other.universe:
             raise ValueError('Variables are for different universes')
         if self.version != other.version:
             raise ValueError("Universe version numbers do not agree")
         if self.value_rank == other.value_rank:
             return self.return_class, other.array
         elif allow_scalar and (self.value_rank==0 or other.value_rank==0):
             if self.value_rank == 0:
                 return other.return_class, other.array
             else:
                 return self.return_class, other.array
         else:
             raise ValueError("Ranks do not match")
     elif isVector(other) or isTensor(other):
         if len(other.array.shape) > self.value_rank:
             raise TypeError('Incompatible types')
         return self.return_class, other.array
     else:
         return self.return_class, other