def make_grain_params(quat, tVec_c=np.zeros(3), vInv=vInv_ref, filename=None):
phi = 2 * np.arccos(quat[0])
n = unitVector(quat[1:, :])
expMap_c = phi * n
if filename is not None:
if isinstance(filename, file):
fid = filename
elif isinstance(filename, str) or isinstance(filename, unicode):
fid = open(filename, "w")
print >> fid, "%1.7e\t# expMap_c[0]\n" % (expMap_c[0]) + "%1.7e\t# expMap_c[1]\n" % (
expMap_c[1]
) + "%1.7e\t# expMap_c[2]\n" % (expMap_c[2]) + "%1.7e\t# tVec_c[0] \n" % (
tVec_c[0]
) + "%1.7e\t# tVec_c[1] \n" % (
tVec_c[1]
) + "%1.7e\t# tVec_c[2] \n" % (
tVec_c[2]
) + "%1.7e\t# vInv_s[0] \n" % (
vInv[0]
) + "%1.7e\t# vInv_s[1] \n" % (
vInv[1]
) + "%1.7e\t# vInv_s[2] \n" % (
vInv[2]
) + "%1.7e\t# vInv_s[3] \n" % (
vInv[3]
) + "%1.7e\t# vInv_s[4] \n" % (
vInv[4]
) + "%1.7e\t# vInv_s[5] \n" % (
vInv[5]
)
fid.close()
return np.hstack([expMap_c.flatten(), tVec_c.flatten(), vInv.flatten()])
def make_grain_params(quat, tVec_c=np.zeros(3), vInv=vInv_ref, filename=None):
phi = 2*np.arccos(quat[0])
n = unitVector(quat[1:, :])
expMap_c = phi*n
if filename is not None:
if isinstance(filename, file):
fid = filename
elif isinstance(filename, str) or isinstance(filename, unicode):
fid = open(filename, 'w')
print >> fid, \
"%1.7e\t# expMap_c[0]\n" % (expMap_c[0]) + \
"%1.7e\t# expMap_c[1]\n" % (expMap_c[1]) + \
"%1.7e\t# expMap_c[2]\n" % (expMap_c[2]) + \
"%1.7e\t# tVec_c[0] \n" % (tVec_c[0]) + \
"%1.7e\t# tVec_c[1] \n" % (tVec_c[1]) + \
"%1.7e\t# tVec_c[2] \n" % (tVec_c[2]) + \
"%1.7e\t# vInv_s[0] \n" % (vInv[0]) + \
"%1.7e\t# vInv_s[1] \n" % (vInv[1]) + \
"%1.7e\t# vInv_s[2] \n" % (vInv[2]) + \
"%1.7e\t# vInv_s[3] \n" % (vInv[3]) + \
"%1.7e\t# vInv_s[4] \n" % (vInv[4]) + \
"%1.7e\t# vInv_s[5] \n" % (vInv[5])
fid.close()
return np.hstack([expMap_c.flatten(), tVec_c.flatten(), vInv.flatten()])
import sys, os, time, random import numpy as np from hexrd.xrd import transforms as xf from hexrd.xrd import transforms_CAPI as xfcapi epsf = 2.2e-16 vec = np.array([[random.uniform(-np.pi,np.pi),random.uniform(-np.pi,np.pi),random.uniform(-np.pi,np.pi)]]) vHat1 = xf.unitVector(vec.T) vHat2 = xfcapi.unitRowVector(vec) print "unitVector results match: ",np.linalg.norm(vHat1.T-vHat2)/np.linalg.norm(vHat1) < epsf tAng = np.array([0.0011546340766314521,-0.0040527538387122993,-0.0026221336905160211]) rMat1 = xf.makeDetectorRotMat(tAng) rMat2 = xfcapi.makeDetectorRotMat(tAng) print "makeDetectorRotMat results match: ",np.linalg.norm(rMat1-rMat2)/np.linalg.norm(rMat1) < epsf oAng = np.array([-0.0011591608938627839,0.0011546340766314521]) rMat1 = xf.makeOscillRotMat(oAng) rMat2 = xfcapi.makeOscillRotMat(oAng) print "makeOscillRotMat results match: ",np.linalg.norm(rMat1-rMat2)/np.linalg.norm(rMat1) < epsf eMap = np.array([ 0.66931818,-0.98578066,0.73593251]) rMat1 = xf.makeRotMatOfExpMap(eMap) rMat2 = xfcapi.makeRotMatOfExpMap(eMap) print "makeRotMatOfExpMap results match: ",np.linalg.norm(rMat1-rMat2)/np.linalg.norm(rMat1) < epsf axis = np.array([ 0.66931818,-0.98578066,0.73593251]) rMat1 = xf.makeBinaryRotMat(axis) rMat2 = xfcapi.makeBinaryRotMat(axis)
import sys, os, time, random
import numpy as np
from hexrd.xrd import transforms as xf
from hexrd.xrd import transforms_CAPI as xfcapi
epsf = 2.2e-16
vec = np.array([[
random.uniform(-np.pi, np.pi),
random.uniform(-np.pi, np.pi),
random.uniform(-np.pi, np.pi)
]])
vHat1 = xf.unitVector(vec.T)
vHat2 = xfcapi.unitRowVector(vec)
print "unitVector results match: ", np.linalg.norm(
vHat1.T - vHat2) / np.linalg.norm(vHat1) < epsf
tAng = np.array(
[0.0011546340766314521, -0.0040527538387122993, -0.0026221336905160211])
rMat1 = xf.makeDetectorRotMat(tAng)
rMat2 = xfcapi.makeDetectorRotMat(tAng)
print "makeDetectorRotMat results match: ", np.linalg.norm(
rMat1 - rMat2) / np.linalg.norm(rMat1) < epsf
oAng = np.array([-0.0011591608938627839, 0.0011546340766314521])
rMat1 = xf.makeOscillRotMat(oAng)
rMat2 = xfcapi.makeOscillRotMat(oAng)
print "makeOscillRotMat results match: ", np.linalg.norm(
rMat1 - rMat2) / np.linalg.norm(rMat1) < epsf
