def check_xyz_luv(self, xyz0, verbose):
''' Check that luv_from_xyz() and xyz_from_luv() are inverses. '''
tolerance = 1.0e-10
luv0 = colormodels.luv_from_xyz (xyz0)
xyz1 = colormodels.xyz_from_luv (luv0)
luv1 = colormodels.luv_from_xyz (xyz1)
# Check errors.
dluv = luv1 - luv0
error_luv = math.sqrt (numpy.dot (dluv, dluv))
dxyz = xyz1 - xyz0
error_xyz = math.sqrt (numpy.dot (dxyz, dxyz))
self.assertLessEqual(error_luv, tolerance)
self.assertLessEqual(error_xyz, tolerance)
msg = 'xyz0: %s luv0: %s xyz1: %s luv1: %s' % (
str(xyz0), str(luv0), str(xyz1), str(luv1))
if verbose:
print (msg)
def check_xyz_luv(self, xyz0, verbose):
''' Check that luv_from_xyz() and xyz_from_luv() are inverses. '''
tolerance = 1.0e-10
luv0 = colormodels.luv_from_xyz(xyz0)
xyz1 = colormodels.xyz_from_luv(luv0)
luv1 = colormodels.luv_from_xyz(xyz1)
# Check errors.
dluv = luv1 - luv0
error_luv = math.sqrt(numpy.dot(dluv, dluv))
dxyz = xyz1 - xyz0
error_xyz = math.sqrt(numpy.dot(dxyz, dxyz))
self.assertLessEqual(error_luv, tolerance)
self.assertLessEqual(error_xyz, tolerance)
msg = 'xyz0: %s luv0: %s xyz1: %s luv1: %s' % (
str(xyz0), str(luv0), str(xyz1), str(luv1))
if verbose:
print(msg)
def test_A (xyz0, tolerance=1.0e-10, verbose=1):
'''Test that luv_from_xyz() and xyz_from_luv() are inverses.'''
luv0 = colormodels.luv_from_xyz (xyz0)
xyz1 = colormodels.xyz_from_luv (luv0)
luv1 = colormodels.luv_from_xyz (xyz1)
# check errors
dluv = luv1 - luv0
error_luv = math.sqrt (numpy.dot (dluv, dluv))
dxyz = xyz1 - xyz0
error_xyz = math.sqrt (numpy.dot (dxyz, dxyz))
passed = (error_luv <= tolerance) and (error_xyz <= tolerance)
if passed:
status = 'pass'
else:
status = 'FAILED'
msg = 'test_xyz_luv.test_A() : xyz0 = %s, luv(xyz0) = %s, xyz(luv(xyz0)) = %s, luv(xyz(luv(xyz0))) = %s, errors = (%g, %g), %s' % (
str (xyz0), str (luv0), str (xyz1), str (luv1), error_luv, 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 luv_from_xyz() and xyz_from_luv() are inverses.'''
luv0 = colormodels.luv_from_xyz(xyz0)
xyz1 = colormodels.xyz_from_luv(luv0)
luv1 = colormodels.luv_from_xyz(xyz1)
# check errors
dluv = luv1 - luv0
error_luv = math.sqrt(numpy.dot(dluv, dluv))
dxyz = xyz1 - xyz0
error_xyz = math.sqrt(numpy.dot(dxyz, dxyz))
passed = (error_luv <= tolerance) and (error_xyz <= tolerance)
if passed:
status = 'pass'
else:
status = 'FAILED'
msg = 'test_xyz_luv.test_A() : xyz0 = %s, luv(xyz0) = %s, xyz(luv(xyz0)) = %s, luv(xyz(luv(xyz0))) = %s, errors = (%g, %g), %s' % (
str(xyz0), str(luv0), str(xyz1), str(luv1), error_luv, error_xyz,
status)
if verbose >= 1:
print(msg)
if not passed:
pass
raise ValueError(msg)
return passed
