/usr/lib/python2.7/dist-packages/air_modes/Quaternion.py is in gr-air-modes 0.0.0.e47992d-5.
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Quaternion provides a class for manipulating quaternion objects. This class provides:
- a convenient constructor to convert to/from Euler Angles (RA,Dec,Roll)
to/from quaternions
- class methods to multiply and divide quaternions
"""
"""Copyright 2009 Smithsonian Astrophysical Observatory
Released under New BSD / 3-Clause BSD License
All rights reserved
"""
"""
Modified 2012 by Nick Foster
Modified from version 0.3.1
http://pypi.python.org/pypi/Quaternion/0.03
Added _get_angle_axis to get the angle-axis representation
Added _latlontoquat to get a rotation quat to ECEF from lat/lon
"""
import numpy as np
from math import cos, sin, radians, degrees, atan2, sqrt, acos, pi
class Quat(object):
"""
Quaternion class
Example usage::
>>> from Quaternion import Quat
>>> quat = Quat((12,45,45))
>>> quat.ra, quat.dec, quat.roll
(12, 45, 45)
>>> quat.q
array([ 0.38857298, -0.3146602 , 0.23486498, 0.8335697 ])
>>> q2 = Quat([ 0.38857298, -0.3146602 , 0.23486498, 0.8335697])
>>> q2.ra
11.999999315925008
Multiplication and division operators are overloaded for the class to
perform appropriate quaternion multiplication and division.
Example usage::
>>> q1 = Quat((20,30,40))
>>> q2 = Quat((30,40,50))
>>> q = q1 / q2
Performs the operation as q1 * inverse q2
Example usage::
>>> q1 = Quat((20,30,40))
>>> q2 = Quat((30,40,50))
>>> q = q1 * q2
:param attitude: initialization attitude for quat
``attitude`` may be:
* another Quat
* a 4 element array (expects x,y,z,w quat form)
* a 3 element array (expects ra,dec,roll in degrees)
* a 3x3 transform/rotation matrix
"""
def __init__(self, attitude):
self._q = None
self._equatorial = None
self._T = None
# checks to see if we've been passed a Quat
if isinstance(attitude, Quat):
self._set_q(attitude.q)
else:
# make it an array and check to see if it is a supported shape
attitude = np.array(attitude)
if len(attitude) == 4:
self._set_q(attitude)
elif attitude.shape == (3,3):
self._set_transform(attitude)
elif attitude.shape == (3,):
self._set_equatorial(attitude)
elif attitude.shape == (2,):
self._set_latlon(attitude)
else:
raise TypeError("attitude is not one of possible types (2, 3 or 4 elements, Quat, or 3x3 matrix)")
def _set_q(self, q):
"""
Set the value of the 4 element quaternion vector
:param q: list or array of normalized quaternion elements
"""
q = np.array(q)
if abs(np.sum(q**2) - 1.0) > 1e-6:
raise ValueError('Quaternion must be normalized so sum(q**2) == 1; use Quaternion.normalize')
self._q = (q if q[3] > 0 else -q)
# Erase internal values of other representations
self._equatorial = None
self._T = None
def _get_q(self):
"""
Retrieve 4-vector of quaternion elements in [x, y, z, w] form
:rtype: numpy array
"""
if self._q is None:
# Figure out q from available values, doing nothing others are not defined
if self._equatorial is not None:
self._q = self._equatorial2quat()
elif self._T is not None:
self._q = self._transform2quat()
return self._q
# use property to make this get/set automatic
q = property(_get_q, _set_q)
def _set_equatorial(self, equatorial):
"""Set the value of the 3 element equatorial coordinate list [RA,Dec,Roll]
expects values in degrees
bounds are not checked
:param equatorial: list or array [ RA, Dec, Roll] in degrees
"""
att = np.array(equatorial)
ra, dec, roll = att
self._ra0 = ra
if ( ra > 180 ):
self._ra0 = ra - 360
self._roll0 = roll
if ( roll > 180):
self._roll0 = roll - 360
self._equatorial = att
def _set_latlon(self, latlon):
self._q = self._latlontoquat(latlon)
def _get_equatorial(self):
"""Retrieve [RA, Dec, Roll]
:rtype: numpy array
"""
if self._equatorial is None:
if self._q is not None:
self._equatorial = self._quat2equatorial()
elif self._T is not None:
self._q = self._transform2quat()
self._equatorial = self._quat2equatorial()
return self._equatorial
equatorial = property(_get_equatorial,_set_equatorial)
def _get_ra(self):
"""Retrieve RA term from equatorial system in degrees"""
return self.equatorial[0]
def _get_dec(self):
"""Retrieve Dec term from equatorial system in degrees"""
return self.equatorial[1]
def _get_roll(self):
"""Retrieve Roll term from equatorial system in degrees"""
return self.equatorial[2]
ra = property(_get_ra)
dec = property(_get_dec)
roll = property(_get_roll)
def _set_transform(self, T):
"""
Set the value of the 3x3 rotation/transform matrix
:param T: 3x3 array/numpy array
"""
transform = np.array(T)
self._T = transform
def _get_transform(self):
"""
Retrieve the value of the 3x3 rotation/transform matrix
:returns: 3x3 rotation/transform matrix
:rtype: numpy array
"""
if self._T is None:
if self._q is not None:
self._T = self._quat2transform()
elif self._equatorial is not None:
self._T = self._equatorial2transform()
return self._T
transform = property(_get_transform, _set_transform)
def _quat2equatorial(self):
"""
Determine Right Ascension, Declination, and Roll for the object quaternion
:returns: RA, Dec, Roll
:rtype: numpy array [ra,dec,roll]
"""
q = self.q
q2 = self.q**2
## calculate direction cosine matrix elements from $quaternions
xa = q2[0] - q2[1] - q2[2] + q2[3]
xb = 2 * (q[0] * q[1] + q[2] * q[3])
xn = 2 * (q[0] * q[2] - q[1] * q[3])
yn = 2 * (q[1] * q[2] + q[0] * q[3])
zn = q2[3] + q2[2] - q2[0] - q2[1]
##; calculate RA, Dec, Roll from cosine matrix elements
ra = degrees(atan2(xb , xa)) ;
dec = degrees(atan2(xn , sqrt(1 - xn**2)));
roll = degrees(atan2(yn , zn)) ;
if ( ra < 0 ):
ra += 360
if ( roll < 0 ):
roll += 360
return np.array([ra, dec, roll])
def _quat2transform(self):
"""
Transform a unit quaternion into its corresponding rotation matrix (to
be applied on the right side).
:returns: transform matrix
:rtype: numpy array
"""
x, y, z, w = self.q
xx2 = 2 * x * x
yy2 = 2 * y * y
zz2 = 2 * z * z
xy2 = 2 * x * y
wz2 = 2 * w * z
zx2 = 2 * z * x
wy2 = 2 * w * y
yz2 = 2 * y * z
wx2 = 2 * w * x
rmat = np.empty((3, 3), float)
rmat[0,0] = 1. - yy2 - zz2
rmat[0,1] = xy2 - wz2
rmat[0,2] = zx2 + wy2
rmat[1,0] = xy2 + wz2
rmat[1,1] = 1. - xx2 - zz2
rmat[1,2] = yz2 - wx2
rmat[2,0] = zx2 - wy2
rmat[2,1] = yz2 + wx2
rmat[2,2] = 1. - xx2 - yy2
return rmat
def _equatorial2quat( self ):
"""Dummy method to return return quat.
:returns: quaternion
:rtype: Quat
"""
return self._transform2quat()
def _equatorial2transform( self ):
"""Construct the transform/rotation matrix from RA,Dec,Roll
:returns: transform matrix
:rtype: 3x3 numpy array
"""
ra = radians(self._get_ra())
dec = radians(self._get_dec())
roll = radians(self._get_roll())
ca = cos(ra)
sa = sin(ra)
cd = cos(dec)
sd = sin(dec)
cr = cos(roll)
sr = sin(roll)
# This is the transpose of the transformation matrix (related to translation
# of original perl code
rmat = np.array([[ca * cd, sa * cd, sd ],
[-ca * sd * sr - sa * cr, -sa * sd * sr + ca * cr, cd * sr],
[-ca * sd * cr + sa * sr, -sa * sd * cr - ca * sr, cd * cr]])
return rmat.transpose()
def _transform2quat( self ):
"""Construct quaternion from the transform/rotation matrix
:returns: quaternion formed from transform matrix
:rtype: numpy array
"""
# Code was copied from perl PDL code that uses backwards index ordering
T = self.transform.transpose()
den = np.array([ 1.0 + T[0,0] - T[1,1] - T[2,2],
1.0 - T[0,0] + T[1,1] - T[2,2],
1.0 - T[0,0] - T[1,1] + T[2,2],
1.0 + T[0,0] + T[1,1] + T[2,2]])
max_idx = np.flatnonzero(den == max(den))[0]
q = np.zeros(4)
q[max_idx] = 0.5 * sqrt(max(den))
denom = 4.0 * q[max_idx]
if (max_idx == 0):
q[1] = (T[1,0] + T[0,1]) / denom
q[2] = (T[2,0] + T[0,2]) / denom
q[3] = -(T[2,1] - T[1,2]) / denom
if (max_idx == 1):
q[0] = (T[1,0] + T[0,1]) / denom
q[2] = (T[2,1] + T[1,2]) / denom
q[3] = -(T[0,2] - T[2,0]) / denom
if (max_idx == 2):
q[0] = (T[2,0] + T[0,2]) / denom
q[1] = (T[2,1] + T[1,2]) / denom
q[3] = -(T[1,0] - T[0,1]) / denom
if (max_idx == 3):
q[0] = -(T[2,1] - T[1,2]) / denom
q[1] = -(T[0,2] - T[2,0]) / denom
q[2] = -(T[1,0] - T[0,1]) / denom
return q
def _get_angle_axis(self):
lim = 1e-12
norm = np.linalg.norm(self.q)
if norm < lim:
angle = 0
axis = [0,0,0]
else:
rnorm = 1.0 / norm
angle = acos(max(-1, min(1, rnorm*self.q[3])));
sangle = sin(angle)
if sangle < lim:
axis = [0,0,0]
else:
axis = (rnorm / sangle) * np.array(self.q[0:3])
angle *= 2
return (angle, axis)
def _latlontoquat ( self, latlon ):
q = np.zeros(4)
lon = latlon[1]*(pi/180.)
lat = latlon[0]*(pi/180.)
zd2 = 0.5*lon
yd2 = -0.25*pi - 0.5*lat
Szd2 = sin(zd2)
Syd2 = sin(yd2)
Czd2 = cos(zd2)
Cyd2 = cos(yd2)
q[0] = -Szd2*Syd2
q[1] = Czd2*Syd2
q[2] = Szd2*Cyd2
q[3] = Czd2*Cyd2
return q
def __div__(self, quat2):
"""
Divide one quaternion by another.
Example usage::
>>> q1 = Quat((20,30,40))
>>> q2 = Quat((30,40,50))
>>> q = q1 / q2
Performs the operation as q1 * inverse q2
:returns: product q1 * inverse q2
:rtype: Quat
"""
return self * quat2.inv()
def __mul__(self, quat2):
"""
Multiply quaternion by another.
Example usage::
>>> q1 = Quat((20,30,40))
>>> q2 = Quat((30,40,50))
>>> (q1 * q2).equatorial
array([ 349.73395729, 76.25393056, 127.61636727])
:returns: product q1 * q2
:rtype: Quat
"""
q1 = self.q
q2 = quat2.q
mult = np.zeros(4)
mult[0] = q1[3]*q2[0] - q1[2]*q2[1] + q1[1]*q2[2] + q1[0]*q2[3]
mult[1] = q1[2]*q2[0] + q1[3]*q2[1] - q1[0]*q2[2] + q1[1]*q2[3]
mult[2] = -q1[1]*q2[0] + q1[0]*q2[1] + q1[3]*q2[2] + q1[2]*q2[3]
mult[3] = -q1[0]*q2[0] - q1[1]*q2[1] - q1[2]*q2[2] + q1[3]*q2[3]
return Quat(mult)
def inv(self):
"""
Invert the quaternion
:returns: inverted quaternion
:rtype: Quat
"""
return Quat([self.q[0], self.q[1], self.q[2], -self.q[3]])
def normalize(array):
"""
Normalize a 4 element array/list/numpy.array for use as a quaternion
:param quat_array: 4 element list/array
:returns: normalized array
:rtype: numpy array
"""
quat = np.array(array)
return quat / np.sqrt(np.dot(quat, quat))
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