avoid floating point comparison and simply play it safe
This commit is contained in:
parent
0497b58629
commit
890a6cf42f
|
@ -147,9 +147,8 @@ for name in filenames:
|
|||
D[neg] *= -1. # ... flip value ...
|
||||
V[:,neg] *= -1. # ... and vector
|
||||
for i in [0,1,2]:
|
||||
if np.dot(V[:,i],V[:,(i+1)%3]) != 0.0: # check each vector for orthogonality
|
||||
V[:,(i+1)%3] = np.cross(V[:,(i+2)%3],V[:,i]) # correct next vector
|
||||
V[:,(i+1)%3] /= np.linalg.norm(V[:,(i+1)%3]) # and renormalize (hyperphobic?)
|
||||
V[:,(i+1)%3] = np.cross(V[:,(i+2)%3],V[:,i]) # correct next vector
|
||||
V[:,(i+1)%3] /= np.linalg.norm(V[:,(i+1)%3]) # and renormalize (hyperphobic?)
|
||||
for theStrain in strains:
|
||||
d = operator(theStretch,theStrain,D) # operate on eigenvalues of U or V
|
||||
eps = np.dot(V,np.dot(np.diag(d),V.T)).reshape(9) # build tensor back from eigenvalue/vector basis
|
||||
|
|
Loading…
Reference in New Issue