def check_xyz_lab(self, xyz0, verbose):
''' Check that lab_from_xyz() and xyz_from_lab() are inverses. '''
tolerance = 1.0e-10
lab0 = colormodels.lab_from_xyz (xyz0)
xyz1 = colormodels.xyz_from_lab (lab0)
lab1 = colormodels.lab_from_xyz (xyz1)
# Check errors.
dlab = lab1 - lab0
error_lab = math.sqrt (numpy.dot (dlab, dlab))
dxyz = xyz1 - xyz0
error_xyz = math.sqrt (numpy.dot (dxyz, dxyz))
self.assertLessEqual(error_lab, tolerance)
self.assertLessEqual(error_xyz, tolerance)
msg = 'xyz0: %s lab0: %s xyz1: %s lab1: %s' % (
str(xyz0), str(lab0), str(xyz1), str(lab1))
if verbose:
print (msg)
def check_xyz_lab(self, xyz0, verbose):
''' Check that lab_from_xyz() and xyz_from_lab() are inverses. '''
tolerance = 1.0e-10
lab0 = colormodels.lab_from_xyz(xyz0)
xyz1 = colormodels.xyz_from_lab(lab0)
lab1 = colormodels.lab_from_xyz(xyz1)
# Check errors.
dlab = lab1 - lab0
error_lab = math.sqrt(numpy.dot(dlab, dlab))
dxyz = xyz1 - xyz0
error_xyz = math.sqrt(numpy.dot(dxyz, dxyz))
self.assertLessEqual(error_lab, tolerance)
self.assertLessEqual(error_xyz, tolerance)
msg = 'xyz0: %s lab0: %s xyz1: %s lab1: %s' % (
str(xyz0), str(lab0), str(xyz1), str(lab1))
if verbose:
print(msg)
def test_A (xyz0, tolerance=1.0e-10, verbose=1):
'''Test that lab_from_xyz() and xyz_from_lab() are inverses.'''
lab0 = colormodels.lab_from_xyz (xyz0)
xyz1 = colormodels.xyz_from_lab (lab0)
lab1 = colormodels.lab_from_xyz (xyz1)
# check errors
dlab = lab1 - lab0
error_lab = math.sqrt (numpy.dot (dlab, dlab))
dxyz = xyz1 - xyz0
error_xyz = math.sqrt (numpy.dot (dxyz, dxyz))
passed = (error_lab <= tolerance) and (error_xyz <= tolerance)
if passed:
status = 'pass'
else:
status = 'FAILED'
msg = 'test_xyz_lab.test_A() : xyz0 = %s, lab(xyz0) = %s, xyz(lab(xyz0)) = %s, lab(xyz(lab(xyz0))) = %s, errors = (%g, %g), %s' % (
str (xyz0), str (lab0), str (xyz1), str (lab1), error_lab, error_xyz, status)
if verbose >= 1:
print msg
if not passed:
pass
raise ValueError, msg
return passed
def test_A(xyz0, tolerance=1.0e-10, verbose=1):
'''Test that lab_from_xyz() and xyz_from_lab() are inverses.'''
lab0 = colormodels.lab_from_xyz(xyz0)
xyz1 = colormodels.xyz_from_lab(lab0)
lab1 = colormodels.lab_from_xyz(xyz1)
# check errors
dlab = lab1 - lab0
error_lab = math.sqrt(numpy.dot(dlab, dlab))
dxyz = xyz1 - xyz0
error_xyz = math.sqrt(numpy.dot(dxyz, dxyz))
passed = (error_lab <= tolerance) and (error_xyz <= tolerance)
if passed:
status = 'pass'
else:
status = 'FAILED'
msg = 'test_xyz_lab.test_A() : xyz0 = %s, lab(xyz0) = %s, xyz(lab(xyz0)) = %s, lab(xyz(lab(xyz0))) = %s, errors = (%g, %g), %s' % (
str(xyz0), str(lab0), str(xyz1), str(lab1), error_lab, error_xyz,
status)
if verbose >= 1:
print(msg)
if not passed:
pass
raise ValueError(msg)
return passed
