Merge branch 'development' into 56-parallel-hdf5

This commit is contained in:
Martin Diehl 2018-12-12 07:46:02 +01:00
commit 3bab08fdeb
13 changed files with 202 additions and 254 deletions

View File

@ -158,12 +158,12 @@ Post_AverageDown:
- master
- release
Post_General:
stage: postprocessing
script: PostProcessing/test.py
except:
- master
- release
#Post_General:
# stage: postprocessing
# script: PostProcessing/test.py
# except:
# - master
# - release
Post_GeometryReconstruction:
stage: postprocessing
@ -373,12 +373,12 @@ Phenopowerlaw_singleSlip:
- master
- release
TextureComponents:
stage: spectral
script: TextureComponents/test.py
except:
- master
- release
#TextureComponents:
# stage: spectral
# script: TextureComponents/test.py
# except:
# - master
# - release
###################################################################################################

View File

@ -119,6 +119,9 @@ for executable in mpirun mpiexec; do
getDetails $executable '--version'
done
firstLevel "CMake"
getDetails cmake --version
firstLevel "Abaqus"
cd installation/mods_Abaqus # to have the right environment file
for executable in abaqus abq2017 abq2018; do

View File

@ -1 +1 @@
v2.0.2-1107-g17716b4f
v2.0.2-1122-g2349341e

View File

@ -33,7 +33,7 @@ class Quaternion:
All methods and naming conventions based on Rowenhorst_etal2015
Convention 1: coordinate frames are right-handed
Convention 2: a rotation angle ω is taken to be positive for a counterclockwise rotation
when viewing from the end point of the rotation axis unit vector towards the origin
when viewing from the end point of the rotation axis towards the origin
Convention 3: rotations will be interpreted in the passive sense
Convention 4: Euler angle triplets are implemented using the Bunge convention,
with the angular ranges as [0, 2π],[0, π],[0, 2π]
@ -48,206 +48,138 @@ class Quaternion:
"""
def __init__(self,
quatArray = [1.0,0.0,0.0,0.0]):
"""Initializes to identity if not given"""
self.w, \
self.x, \
self.y, \
self.z = quatArray
quat = None,
q = 1.0,
p = np.zeros(3,dtype=float)):
"""Initializes to identity unless specified"""
self.q = quat[0] if quat is not None else q
self.p = np.array(quat[1:4]) if quat is not None else p
self.homomorph()
def __iter__(self):
"""Components"""
return iter([self.w,self.x,self.y,self.z])
return iter(self.asList())
def __copy__(self):
"""Create copy"""
Q = Quaternion([self.w,self.x,self.y,self.z])
return Q
"""Copy"""
return self.__class__(q=self.q,p=self.p.copy())
copy = __copy__
def __repr__(self):
"""Readbable string"""
return 'Quaternion(real=%+.6f, imag=<%+.6f, %+.6f, %+.6f>)' % \
(self.w, self.x, self.y, self.z)
"""Readable string"""
return 'Quaternion(real={q:+.6f}, imag=<{p[0]:+.6f}, {p[1]:+.6f}, {p[2]:+.6f}>)'.format(q=self.q,p=self.p)
def __pow__(self, exponent):
"""Power"""
omega = math.acos(self.w)
vRescale = math.sin(exponent*omega)/math.sin(omega)
Q = Quaternion()
Q.w = math.cos(exponent*omega)
Q.x = self.x * vRescale
Q.y = self.y * vRescale
Q.z = self.z * vRescale
return Q
omega = math.acos(self.q)
return self.__class__(q= math.cos(exponent*omega),
p=self.p * math.sin(exponent*omega)/math.sin(omega))
def __ipow__(self, exponent):
"""In-place power"""
omega = math.acos(self.w)
vRescale = math.sin(exponent*omega)/math.sin(omega)
self.w = np.cos(exponent*omega)
self.x *= vRescale
self.y *= vRescale
self.z *= vRescale
omega = math.acos(self.q)
self.q = math.cos(exponent*omega)
self.p *= math.sin(exponent*omega)/math.sin(omega)
return self
def __mul__(self, other):
"""Multiplication"""
# Rowenhorst_etal2015 MSMSE: value of P is selected as -1
P = -1.0
try: # quaternion
Aw = self.w
Ax = self.x
Ay = self.y
Az = self.z
Bw = other.w
Bx = other.x
By = other.y
Bz = other.z
Q = Quaternion()
Q.w = - Ax * Bx - Ay * By - Az * Bz + Aw * Bw
Q.x = + Ax * Bw + Ay * Bz - Az * By + Aw * Bx
Q.y = - Ax * Bz + Ay * Bw + Az * Bx + Aw * By
Q.z = + Ax * By - Ay * Bx + Az * Bw + Aw * Bz
return Q
return self.__class__(q=self.q*other.q - np.dot(self.p,other.p),
p=self.q*other.p + other.q*self.p + P * np.cross(self.p,other.p))
except: pass
try: # vector (perform active rotation, i.e. q*v*q.conjugated)
w = self.w
x = self.x
y = self.y
z = self.z
Vx = other[0]
Vy = other[1]
Vz = other[2]
try: # vector (perform passive rotation)
( x, y, z) = self.p
(Vx,Vy,Vz) = other[0:3]
A = self.q*self.q - np.dot(self.p,self.p)
B = 2.0 * (x*Vx + y*Vy + z*Vz)
C = 2.0 * P*self.q
return np.array([\
w * w * Vx + 2 * y * w * Vz - 2 * z * w * Vy + \
x * x * Vx + 2 * y * x * Vy + 2 * z * x * Vz - \
z * z * Vx - y * y * Vx,
2 * x * y * Vx + y * y * Vy + 2 * z * y * Vz + \
2 * w * z * Vx - z * z * Vy + w * w * Vy - \
2 * x * w * Vz - x * x * Vy,
2 * x * z * Vx + 2 * y * z * Vy + \
z * z * Vz - 2 * w * y * Vx - y * y * Vz + \
2 * w * x * Vy - x * x * Vz + w * w * Vz ])
return np.array([
A*Vx + B*x + C*(y*Vz - z*Vy),
A*Vy + B*y + C*(z*Vx - x*Vz),
A*Vz + B*z + C*(x*Vy - y*Vx),
])
except: pass
try: # scalar
Q = self.copy()
Q.w *= other
Q.x *= other
Q.y *= other
Q.z *= other
return Q
return self.__class__(q=self.q*other,
p=self.p*other)
except:
return self.copy()
def __imul__(self, other):
"""In-place multiplication"""
# Rowenhorst_etal2015 MSMSE: value of P is selected as -1
P = -1.0
try: # Quaternion
Aw = self.w
Ax = self.x
Ay = self.y
Az = self.z
Bw = other.w
Bx = other.x
By = other.y
Bz = other.z
self.w = - Ax * Bx - Ay * By - Az * Bz + Aw * Bw
self.x = + Ax * Bw + Ay * Bz - Az * By + Aw * Bx
self.y = - Ax * Bz + Ay * Bw + Az * Bx + Aw * By
self.z = + Ax * By - Ay * Bx + Az * Bw + Aw * Bz
self.q = self.q*other.q - np.dot(self.p,other.p)
self.p = self.q*other.p + other.q*self.p + P * np.cross(self.p,other.p)
except: pass
return self
def __div__(self, other):
"""Division"""
if isinstance(other, (int,float)):
w = self.w / other
x = self.x / other
y = self.y / other
z = self.z / other
return self.__class__([w,x,y,z])
return self.__class__(q=self.q / other,
p=self.p / other)
else:
return NotImplemented
def __idiv__(self, other):
"""In-place division"""
if isinstance(other, (int,float)):
self.w /= other
self.x /= other
self.y /= other
self.z /= other
self.q /= other
self.p /= other
return self
def __add__(self, other):
"""Addition"""
if isinstance(other, Quaternion):
w = self.w + other.w
x = self.x + other.x
y = self.y + other.y
z = self.z + other.z
return self.__class__([w,x,y,z])
return self.__class__(q=self.q + other.q,
p=self.p + other.p)
else:
return NotImplemented
def __iadd__(self, other):
"""In-place addition"""
if isinstance(other, Quaternion):
self.w += other.w
self.x += other.x
self.y += other.y
self.z += other.z
self.q += other.q
self.p += other.p
return self
def __sub__(self, other):
"""Subtraction"""
if isinstance(other, Quaternion):
Q = self.copy()
Q.w -= other.w
Q.x -= other.x
Q.y -= other.y
Q.z -= other.z
return Q
return self.__class__(q=self.q - other.q,
p=self.p - other.p)
else:
return self.copy()
return NotImplemented
def __isub__(self, other):
"""In-place subtraction"""
if isinstance(other, Quaternion):
self.w -= other.w
self.x -= other.x
self.y -= other.y
self.z -= other.z
self.q -= other.q
self.p -= other.p
return self
def __neg__(self):
"""Additive inverse"""
self.w = -self.w
self.x = -self.x
self.y = -self.y
self.z = -self.z
self.q = -self.q
self.p = -self.p
return self
def __abs__(self):
"""Norm"""
return math.sqrt(self.w ** 2 + \
self.x ** 2 + \
self.y ** 2 + \
self.z ** 2)
return math.sqrt(self.q ** 2 + np.dot(self.p,self.p))
magnitude = __abs__
def __eq__(self,other):
"""Equal at e-8 precision"""
return (abs(self.w-other.w) < 1e-8 and \
abs(self.x-other.x) < 1e-8 and \
abs(self.y-other.y) < 1e-8 and \
abs(self.z-other.z) < 1e-8) \
or \
(abs(-self.w-other.w) < 1e-8 and \
abs(-self.x-other.x) < 1e-8 and \
abs(-self.y-other.y) < 1e-8 and \
abs(-self.z-other.z) < 1e-8)
return (self-other).magnitude() < 1e-8 or (-self-other).magnitude() < 1e-8
def __ne__(self,other):
"""Not equal at e-8 precision"""
@ -255,31 +187,26 @@ class Quaternion:
def __cmp__(self,other):
"""Linear ordering"""
return (self.Rodrigues()>other.Rodrigues()) - (self.Rodrigues()<other.Rodrigues())
return (1 if np.linalg.norm(self.asRodrigues()) > np.linalg.norm(other.asRodrigues()) else 0) \
- (1 if np.linalg.norm(self.asRodrigues()) < np.linalg.norm(other.asRodrigues()) else 0)
def magnitude_squared(self):
return self.w ** 2 + \
self.x ** 2 + \
self.y ** 2 + \
self.z ** 2
return self.q ** 2 + np.dot(self.p,self.p)
def identity(self):
self.w = 1.
self.x = 0.
self.y = 0.
self.z = 0.
self.q = 1.
self.p = np.zeros(3,dtype=float)
return self
def normalize(self):
d = self.magnitude()
if d > 0.0:
self /= d
self.q /= d
self.p /= d
return self
def conjugate(self):
self.x = -self.x
self.y = -self.y
self.z = -self.z
self.p = -self.p
return self
def inverse(self):
@ -290,11 +217,9 @@ class Quaternion:
return self
def homomorph(self):
if self.w < 0.0:
self.w = -self.w
self.x = -self.x
self.y = -self.y
self.z = -self.z
if self.q < 0.0:
self.q = -self.q
self.p = -self.p
return self
def normalized(self):
@ -310,27 +235,35 @@ class Quaternion:
return self.copy().homomorph()
def asList(self):
return [i for i in self]
return [self.q]+list(self.p)
def asM(self): # to find Averaging Quaternions (see F. Landis Markley et al.)
return np.outer([i for i in self],[i for i in self])
return np.outer(self.asList(),self.asList())
def asMatrix(self):
qbarhalf = 0.5*(self.w**2 - self.x**2 - self.y**2 - self.z**2)
# Rowenhorst_etal2015 MSMSE: value of P is selected as -1
P = -1.0
qbarhalf = 0.5*(self.q**2 - np.dot(self.p,self.p))
return 2.0*np.array(
[[ qbarhalf + self.x**2 , self.x*self.y - self.w*self.z, self.x*self.z + self.w*self.y],
[ self.x*self.y + self.w*self.z, qbarhalf + self.y**2 , self.y*self.z - self.w*self.x],
[ self.x*self.z - self.w*self.y, self.y*self.z + self.w*self.x, qbarhalf + self.z**2 ],
[[ qbarhalf + self.p[0]**2 ,
self.p[0]*self.p[1] -P* self.q*self.p[2],
self.p[0]*self.p[2] +P* self.q*self.p[1] ],
[ self.p[0]*self.p[1] +P* self.q*self.p[2],
qbarhalf + self.p[1]**2 ,
self.p[1]*self.p[2] -P* self.q*self.p[0] ],
[ self.p[0]*self.p[2] -P* self.q*self.p[1],
self.p[1]*self.p[2] +P* self.q*self.p[0],
qbarhalf + self.p[2]**2 ],
])
def asAngleAxis(self,
degrees = False):
if self.w > 1:
if self.q > 1.:
self.normalize()
s = math.sqrt(1. - self.w**2)
x = 2*self.w**2 - 1.
y = 2*self.w * s
s = math.sqrt(1. - self.q**2)
x = 2*self.q**2 - 1.
y = 2*self.q * s
angle = math.atan2(y,x)
if angle < 0.0:
@ -338,26 +271,28 @@ class Quaternion:
s *= -1.
return (np.degrees(angle) if degrees else angle,
np.array([1.0, 0.0, 0.0] if np.abs(angle) < 1e-6 else [self.x / s, self.y / s, self.z / s]))
np.array([1.0, 0.0, 0.0] if np.abs(angle) < 1e-6 else self.p / s))
def asRodrigues(self):
return np.inf*np.ones(3) if self.w == 0.0 else np.array([self.x, self.y, self.z])/self.w
return np.inf*np.ones(3) if self.q == 0.0 else self.p/self.q
def asEulers(self,
degrees = False):
"""Orientation as Bunge-Euler angles."""
q03 = self.w**2+self.z**2
q12 = self.x**2+self.y**2
# Rowenhorst_etal2015 MSMSE: value of P is selected as -1
P = -1.0
q03 = self.q**2 + self.p[2]**2
q12 = self.p[0]**2 + self.p[1]**2
chi = np.sqrt(q03*q12)
if abs(chi) < 1e-10 and abs(q12) < 1e-10:
eulers = np.array([math.atan2(-2*self.w*self.z,self.w**2-self.z**2),0,0])
eulers = np.array([math.atan2(-2*P*self.q*self.p[2],self.q**2-self.p[2]**2),0,0])
elif abs(chi) < 1e-10 and abs(q03) < 1e-10:
eulers = np.array([math.atan2( 2*self.x*self.y,self.x**2-self.y**2),np.pi,0])
eulers = np.array([math.atan2( 2 *self.p[0]*self.p[1],self.p[0]**2-self.p[1]**2),np.pi,0])
else:
eulers = np.array([math.atan2((self.x*self.z-self.w*self.y)/chi,(-self.w*self.x-self.y*self.z)/chi),
eulers = np.array([math.atan2((self.p[0]*self.p[2]-P*self.q*self.p[1])/chi,(-P*self.q*self.p[0]-self.p[1]*self.p[2])/chi),
math.atan2(2*chi,q03-q12),
math.atan2((self.w*self.y+self.x*self.z)/chi,( self.y*self.z-self.w*self.x)/chi),
math.atan2((P*self.q*self.p[1]+self.p[0]*self.p[2])/chi,( self.p[1]*self.p[2]-P*self.q*self.p[0])/chi),
])
return np.degrees(eulers) if degrees else eulers
@ -371,25 +306,26 @@ class Quaternion:
@classmethod
def fromRandom(cls,randomSeed = None):
import binascii
if randomSeed is None:
randomSeed = int(os.urandom(4).encode('hex'), 16)
randomSeed = int(binascii.hexlify(os.urandom(4)),16)
np.random.seed(randomSeed)
r = np.random.random(3)
w = math.cos(2.0*math.pi*r[0])*math.sqrt(r[2])
x = math.sin(2.0*math.pi*r[1])*math.sqrt(1.0-r[2])
y = math.cos(2.0*math.pi*r[1])*math.sqrt(1.0-r[2])
z = math.sin(2.0*math.pi*r[0])*math.sqrt(r[2])
return cls([w,x,y,z])
return cls(quat=[w,x,y,z])
@classmethod
def fromRodrigues(cls, rodrigues):
if not isinstance(rodrigues, np.ndarray): rodrigues = np.array(rodrigues)
halfangle = math.atan(np.linalg.norm(rodrigues))
norm = np.linalg.norm(rodrigues)
halfangle = math.atan(norm)
s = math.sin(halfangle)
c = math.cos(halfangle)
w = c
x,y,z = rodrigues/c
return cls([w,x,y,z])
return cls(q=c,p=s*rodrigues/norm)
@classmethod
@ -397,22 +333,19 @@ class Quaternion:
angle,
axis,
degrees = False):
if not isinstance(axis, np.ndarray): axis = np.array(axis,dtype='d')
if not isinstance(axis, np.ndarray): axis = np.array(axis,dtype=float)
axis = axis.astype(float)/np.linalg.norm(axis)
angle = np.radians(angle) if degrees else angle
s = math.sin(0.5 * angle)
w = math.cos(0.5 * angle)
x = axis[0] * s
y = axis[1] * s
z = axis[2] * s
return cls([w,x,y,z])
c = math.cos(0.5 * angle)
return cls(q=c,p=axis*s)
@classmethod
def fromEulers(cls,
eulers,
degrees = False):
if not isinstance(eulers, np.ndarray): eulers = np.array(eulers,dtype='d')
if not isinstance(eulers, np.ndarray): eulers = np.array(eulers,dtype=float)
eulers = np.radians(eulers) if degrees else eulers
sigma = 0.5*(eulers[0]+eulers[2])
@ -420,11 +353,13 @@ class Quaternion:
c = np.cos(0.5*eulers[1])
s = np.sin(0.5*eulers[1])
w = c * np.cos(sigma)
x = -s * np.cos(delta)
y = -s * np.sin(delta)
z = -c * np.sin(sigma)
return cls([w,x,y,z])
# Rowenhorst_etal2015 MSMSE: value of P is selected as -1
P = -1.0
w = c * np.cos(sigma)
x = -P * s * np.cos(delta)
y = -P * s * np.sin(delta)
z = -P * c * np.sin(sigma)
return cls(quat=[w,x,y,z])
# Modified Method to calculate Quaternion from Orientation Matrix,
@ -435,16 +370,18 @@ class Quaternion:
if m.shape != (3,3) and np.prod(m.shape) == 9:
m = m.reshape(3,3)
w = 0.5*math.sqrt(1.+m[0,0]+m[1,1]+m[2,2])
x = 0.5*math.sqrt(1.+m[0,0]-m[1,1]-m[2,2])
y = 0.5*math.sqrt(1.-m[0,0]+m[1,1]-m[2,2])
z = 0.5*math.sqrt(1.-m[0,0]-m[1,1]+m[2,2])
# Rowenhorst_etal2015 MSMSE: value of P is selected as -1
P = -1.0
w = 0.5*math.sqrt(1.+m[0,0]+m[1,1]+m[2,2])
x = P*0.5*math.sqrt(1.+m[0,0]-m[1,1]-m[2,2])
y = P*0.5*math.sqrt(1.-m[0,0]+m[1,1]-m[2,2])
z = P*0.5*math.sqrt(1.-m[0,0]-m[1,1]+m[2,2])
x *= -1 if m[2,1] < m[1,2] else 1
y *= -1 if m[0,2] < m[2,0] else 1
z *= -1 if m[1,0] < m[0,1] else 1
return cls( np.array([w,x,y,z])/math.sqrt(w**2 + x**2 + y**2 + z**2))
return cls(quat=np.array([w,x,y,z])/math.sqrt(w**2 + x**2 + y**2 + z**2))
@classmethod
@ -458,36 +395,30 @@ class Quaternion:
assert isinstance(q1, Quaternion) and isinstance(q2, Quaternion)
Q = cls()
costheta = q1.w * q2.w + q1.x * q2.x + q1.y * q2.y + q1.z * q2.z
costheta = q1.q*q2.q + np.dot(q1.p,q2.p)
if costheta < 0.:
costheta = -costheta
q1 = q1.conjugated()
elif costheta > 1:
costheta = 1
elif costheta > 1.:
costheta = 1.
theta = math.acos(costheta)
if abs(theta) < 0.01:
Q.w = q2.w
Q.x = q2.x
Q.y = q2.y
Q.z = q2.z
Q.q = q2.q
Q.p = q2.p
return Q
sintheta = math.sqrt(1.0 - costheta * costheta)
if abs(sintheta) < 0.01:
Q.w = (q1.w + q2.w) * 0.5
Q.x = (q1.x + q2.x) * 0.5
Q.y = (q1.y + q2.y) * 0.5
Q.z = (q1.z + q2.z) * 0.5
Q.q = (q1.q + q2.q) * 0.5
Q.p = (q1.p + q2.p) * 0.5
return Q
ratio1 = math.sin((1 - t) * theta) / sintheta
ratio2 = math.sin(t * theta) / sintheta
ratio1 = math.sin((1.0 - t) * theta) / sintheta
ratio2 = math.sin( t * theta) / sintheta
Q.w = q1.w * ratio1 + q2.w * ratio2
Q.x = q1.x * ratio1 + q2.x * ratio2
Q.y = q1.y * ratio1 + q2.y * ratio2
Q.z = q1.z * ratio1 + q2.z * ratio2
Q.q = q1.q * ratio1 + q2.q * ratio2
Q.p = q1.p * ratio1 + q2.p * ratio2
return Q
@ -513,7 +444,7 @@ class Symmetry:
def __repr__(self):
"""Readbable string"""
return '%s' % (self.lattice)
return '{}'.format(self.lattice)
def __eq__(self, other):
@ -526,7 +457,7 @@ class Symmetry:
def __cmp__(self,other):
"""Linear ordering"""
myOrder = Symmetry.lattices.index(self.lattice)
myOrder = Symmetry.lattices.index(self.lattice)
otherOrder = Symmetry.lattices.index(other.lattice)
return (myOrder > otherOrder) - (myOrder < otherOrder)
@ -722,7 +653,7 @@ class Symmetry:
else:
return True
v = np.array(vector,dtype = float)
v = np.array(vector,dtype=float)
if proper: # check both improper ...
theComponents = np.dot(basis['improper'],v)
inSST = np.all(theComponents >= 0.0)
@ -737,10 +668,10 @@ class Symmetry:
if color: # have to return color array
if inSST:
rgb = np.power(theComponents/np.linalg.norm(theComponents),0.5) # smoothen color ramps
rgb = np.minimum(np.ones(3,'d'),rgb) # limit to maximum intensity
rgb = np.minimum(np.ones(3,dtype=float),rgb) # limit to maximum intensity
rgb /= max(rgb) # normalize to (HS)V = 1
else:
rgb = np.zeros(3,'d')
rgb = np.zeros(3,dtype=float)
return (inSST,rgb)
else:
return inSST
@ -780,8 +711,9 @@ class Orientation:
self.quaternion = Quaternion.fromRodrigues(Rodrigues)
elif isinstance(quaternion, Quaternion): # based on given quaternion
self.quaternion = quaternion.homomorphed()
elif isinstance(quaternion, np.ndarray) and quaternion.shape == (4,): # based on given quaternion-like array
self.quaternion = Quaternion(quaternion).homomorphed()
elif (isinstance(quaternion, np.ndarray) and quaternion.shape == (4,)) or \
(isinstance(quaternion, list) and len(quaternion) == 4 ): # based on given quaternion-like array
self.quaternion = Quaternion(quat=quaternion).homomorphed()
self.symmetry = Symmetry(symmetry)
@ -794,10 +726,12 @@ class Orientation:
def __repr__(self):
"""Value as all implemented representations"""
return 'Symmetry: %s\n' % (self.symmetry) + \
'Quaternion: %s\n' % (self.quaternion) + \
'Matrix:\n%s\n' % ( '\n'.join(['\t'.join(map(str,self.asMatrix()[i,:])) for i in range(3)]) ) + \
'Bunge Eulers / deg: %s' % ('\t'.join(map(str,self.asEulers(degrees=True))) )
return '\n'.join([
'Symmetry: {}'.format(self.symmetry),
'Quaternion: {}'.format(self.quaternion),
'Matrix:\n{}'.format( '\n'.join(['\t'.join(list(map(str,self.asMatrix()[i,:]))) for i in range(3)]) ),
'Bunge Eulers / deg: {}'.format('\t'.join(list(map(str,self.asEulers(degrees=True)))) ),
])
def asQuaternion(self):
return self.quaternion.asList()
@ -927,7 +861,7 @@ class Orientation:
M = closest.quaternion.asM() * n if i == 0 else M + closest.quaternion.asM() * n # noqa add (multiples) of this orientation to average noqa
eig, vec = np.linalg.eig(M/N)
return Orientation(quaternion = Quaternion(quatArray = np.real(vec.T[eig.argmax()])),
return Orientation(quaternion = Quaternion(quat = np.real(vec.T[eig.argmax()])),
symmetry = reference.symmetry.lattice)

View File

@ -200,9 +200,9 @@ for name in filenames:
if gID != -1 and gID not in alreadyChecked: # indexed point belonging to a grain not yet tested?
alreadyChecked[gID] = True # remember not to check again
disorientation = o.disorientation(orientations[gID],SST = False)[0] # compare against other orientation
if disorientation.quaternion.w > cos_disorientation: # within threshold ...
if disorientation.quaternion.q > cos_disorientation: # within threshold ...
candidates.append(gID) # remember as potential candidate
if disorientation.quaternion.w >= bestDisorientation.w: # ... and better than current best?
if disorientation.quaternion.q >= bestDisorientation.q: # ... and better than current best?
matched = True
matchedID = gID # remember that grain
bestDisorientation = disorientation.quaternion

View File

@ -64,11 +64,11 @@ if options.dimension is None:
parser.error('no dimension specified.')
if options.angleaxis is not None:
options.angleaxis = list(map(float,options.angleaxis))
rotation = damask.Quaternion().fromAngleAxis(np.radians(options.angleaxis[0]) if options.degrees else options.angleaxis[0],
options.angleaxis[1:4])
rotation = damask.Quaternion.fromAngleAxis(np.radians(options.angleaxis[0]) if options.degrees else options.angleaxis[0],
options.angleaxis[1:4])
elif options.quaternion is not None:
options.quaternion = map(float,options.quaternion)
rotation = damask.Quaternion(options.quaternion)
options.quaternion = list(map(float,options.quaternion))
rotation = damask.Quaternion(quat=options.quaternion)
else:
rotation = damask.Quaternion()

View File

@ -43,7 +43,7 @@ parser.add_option('-e', '--eulers',
parser.add_option('-d', '--degrees',
dest = 'degrees',
action = 'store_true',
help = 'angles are given in degrees [%default]')
help = 'all angles are in degrees')
parser.add_option('-m', '--matrix',
dest = 'matrix',
type = 'string', metavar = 'string',
@ -71,7 +71,7 @@ parser.add_option('--axes',
parser.add_option('-s', '--symmetry',
dest = 'symmetry',
action = 'extend', metavar = '<string LIST>',
help = 'crystal symmetry %default {{{}}} '.format(', '.join(damask.Symmetry.lattices[1:])))
help = 'crystal symmetry of each phase %default {{{}}} '.format(', '.join(damask.Symmetry.lattices[1:])))
parser.add_option('--homogenization',
dest = 'homogenization',
type = 'int', metavar = 'int',
@ -234,7 +234,7 @@ for name in filenames:
o = damask.Orientation(Eulers = myData[colOri:colOri+3]*toRadians,
symmetry = mySym)
elif inputtype == 'matrix':
o = damask.Orientation(matrix = myData[colOri:colOri+9].reshape(3,3).transpose(),
o = damask.Orientation(matrix = myData[colOri:colOri+9].reshape(3,3),
symmetry = mySym)
elif inputtype == 'frame':
o = damask.Orientation(matrix = np.hstack((myData[colOri[0]:colOri[0]+3],
@ -246,7 +246,7 @@ for name in filenames:
o = damask.Orientation(quaternion = myData[colOri:colOri+4],
symmetry = mySym)
cos_disorientations = -np.ones(1,dtype='f') # largest possible disorientation
cos_disorientations = -np.ones(1,dtype=float) # largest possible disorientation
closest_grain = -1 # invalid neighbor
if options.tolerance > 0.0: # only try to compress orientations if asked to
@ -258,7 +258,7 @@ for name in filenames:
if len(grains) > 0: # check immediate neighborhood first
cos_disorientations = np.array([o.disorientation(orientations[grainID],
SST = False)[0].quaternion.w \
SST = False)[0].quaternion.q \
for grainID in grains]) # store disorientation per grainID
closest_grain = np.argmax(cos_disorientations) # grain among grains with closest orientation to myself
match = 'local'
@ -269,7 +269,7 @@ for name in filenames:
if len(grains) > 0:
cos_disorientations = np.array([o.disorientation(orientations[grainID],
SST = False)[0].quaternion.w \
SST = False)[0].quaternion.q \
for grainID in grains]) # store disorientation per grainID
closest_grain = np.argmax(cos_disorientations) # grain among grains with closest orientation to myself
match = 'global'

View File

@ -244,7 +244,7 @@ for name in filenames:
continue
damask.util.report(scriptName,name)
randomSeed = int(os.urandom(4).encode('hex'), 16) if options.randomSeed is None else options.randomSeed # random seed per file for second phase
randomSeed = int(os.urandom(4).hex(), 16) if options.randomSeed is None else options.randomSeed # random seed per file for second phase
random.seed(randomSeed)
# ------------------------------------------ read header and data ---------------------------------

View File

@ -191,7 +191,9 @@ recursive function IO_recursiveRead(fileName,cnt) result(fileContent)
l,i, &
myStat
if (merge(cnt,0_pInt,present(cnt))>10_pInt) call IO_error(106_pInt,ext_msg=trim(fileName))
if (present(cnt)) then
if (cnt>10_pInt) call IO_error(106_pInt,ext_msg=trim(fileName))
endif
!--------------------------------------------------------------------------------------------------
! read data as stream
@ -684,7 +686,11 @@ function IO_stringValue(string,chunkPos,myChunk,silent)
logical :: warn
warn = merge(silent,.false.,present(silent))
if (present(silent)) then
warn = silent
else
warn = .false.
endif
IO_stringValue = ''
valuePresent: if (myChunk > chunkPos(1) .or. myChunk < 1_pInt) then

View File

@ -513,8 +513,12 @@ character(len=65536) function getString(this,key,defaultVal,raw)
type(tPartitionedStringList), pointer :: item
logical :: found, &
whole
if (present(raw)) then
whole = raw
else
whole = .false.
endif
whole = merge(raw,.false.,present(raw)) ! whole string or white space splitting
found = present(defaultVal)
if (found) then
getString = trim(defaultVal)
@ -661,7 +665,11 @@ function getStrings(this,key,defaultVal,requiredShape,raw)
cumulative
cumulative = (key(1:1) == '(' .and. key(len_trim(key):len_trim(key)) == ')')
whole = merge(raw,.false.,present(raw))
if (present(raw)) then
whole = raw
else
whole = .false.
endif
found = .false.
item => this

View File

@ -225,7 +225,7 @@ subroutine kinematics_thermal_expansion_LiAndItsTangent(Li, dLi_dTstar3333, ipc,
+ lattice_thermalExpansion33(1:3,1:3,2,phase)*(T - TRef)**1 & ! linear coefficient
+ lattice_thermalExpansion33(1:3,1:3,3,phase)*(T - TRef)**2 & ! quadratic coefficient
) / &
(1.0_pReal \
(1.0_pReal &
+ lattice_thermalExpansion33(1:3,1:3,1,phase)*(T - TRef)**1 / 1. &
+ lattice_thermalExpansion33(1:3,1:3,2,phase)*(T - TRef)**2 / 2. &
+ lattice_thermalExpansion33(1:3,1:3,3,phase)*(T - TRef)**3 / 3. &

View File

@ -302,7 +302,7 @@ subroutine math_check
endif
end subroutine math_check
!--------------------------------------------------------------------------------------------------
!> @brief Quicksort algorithm for two-dimensional integer arrays
@ -2625,12 +2625,9 @@ real(pReal) pure function math_clip(a, left, right)
real(pReal), intent(in) :: a
real(pReal), intent(in), optional :: left, right
math_clip = min ( &
max (merge(left, -huge(a), present(left)), a), &
merge(right, huge(a), present(right)) &
)
math_clip = a
if (present(left)) math_clip = max(left,math_clip)
if (present(right)) math_clip = min(right,math_clip)
if (present(left) .and. present(right)) &
math_clip = merge (IEEE_value(1.0_pReal,IEEE_quiet_NaN),math_clip, left>right)

View File

@ -120,8 +120,8 @@ subroutine spectral_damage_init()
trim(snes_type) == 'vinewtonssls') then
call DMGetGlobalVector(damage_grid,lBound,ierr); CHKERRQ(ierr)
call DMGetGlobalVector(damage_grid,uBound,ierr); CHKERRQ(ierr)
call VecSet(lBound,0.0,ierr); CHKERRQ(ierr)
call VecSet(uBound,1.0,ierr); CHKERRQ(ierr)
call VecSet(lBound,0.0_pReal,ierr); CHKERRQ(ierr)
call VecSet(uBound,1.0_pReal,ierr); CHKERRQ(ierr)
call SNESVISetVariableBounds(damage_snes,lBound,uBound,ierr) !< variable bounds for variational inequalities like contact mechanics, damage etc.
call DMRestoreGlobalVector(damage_grid,lBound,ierr); CHKERRQ(ierr)
call DMRestoreGlobalVector(damage_grid,uBound,ierr); CHKERRQ(ierr)
@ -134,7 +134,7 @@ subroutine spectral_damage_init()
xend = xstart + xend - 1
yend = ystart + yend - 1
zend = zstart + zend - 1
call VecSet(solution,1.0,ierr); CHKERRQ(ierr)
call VecSet(solution,1.0_pReal,ierr); CHKERRQ(ierr)
allocate(damage_current(grid(1),grid(2),grid3), source=1.0_pReal)
allocate(damage_lastInc(grid(1),grid(2),grid3), source=1.0_pReal)
allocate(damage_stagInc(grid(1),grid(2),grid3), source=1.0_pReal)