def setUp(self):
TestCase.setUp(self)
self.t1 = Transition(29, 9, 4)
distributions = {}
gnf_zs = [1.0, 2.0, 3.0, 4.0]
gnf_values = [0.0, 5.0, 4.0, 1.0]
gnf_uncs = [0.01, 0.02, 0.03, 0.04]
gnf = np.array([gnf_zs, gnf_values, gnf_uncs]).T
distributions[PhotonKey(self.t1, False, PhotonKey.P)] = gnf
gt_zs = [1.0, 2.0, 3.0, 4.0]
gt_values = [10.0, 15.0, 14.0, 11.0]
gt_uncs = [0.11, 0.12, 0.13, 0.14]
gt = np.array([gt_zs, gt_values, gt_uncs]).T
distributions[PhotonKey(self.t1, False, PhotonKey.T)] = gt
enf_zs = [1.0, 2.0, 3.0, 4.0]
enf_values = [20.0, 25.0, 24.0, 21.0]
enf = np.array([enf_zs, enf_values]).T
distributions[PhotonKey(self.t1, True, PhotonKey.P)] = enf
et_zs = [1.0, 2.0, 3.0, 4.0]
et_values = [30.0, 35.0, 34.0, 31.0]
et_uncs = [0.31, 0.32, 0.33, 0.34]
et = np.array([et_zs, et_values, et_uncs]).T
distributions[PhotonKey(self.t1, True, PhotonKey.T)] = et
self.r = PhiZResult(distributions)
def _import_phi_z(self, options, name, detector, path):
wxrresult = CharateristicPhirhoz(path)
def _extract(data, absorption):
distributions = {}
for z in data:
for xrayline in data[z]:
transition = from_string(symbol(z) + " " + xrayline)
dist = np.array(data[z][xrayline]).T
# Convert z values in meters
dist[:, 0] *= -1e-9
# WinXRay starts from the bottom to the top
# The order must be reversed
dist = dist[::-1]
key = PhotonKey(transition, absorption, PhotonKey.P)
distributions[key] = dist
return distributions
distributions = {}
distributions.update(_extract(wxrresult.getPhirhozs('Generated'), False))
distributions.update(_extract(wxrresult.getPhirhozs('Emitted'), True))
return PhiZResult(distributions)
def _import_phi_z(self, options, name, detector, jobdir):
prz_filepath = os.path.join(jobdir, 'phi_%s.csv' % name)
if not os.path.exists(prz_filepath):
raise ImporterException('Result file "phi_%s.csv" not found in job directory (%s)' % \
(name, jobdir))
with open(prz_filepath, 'r') as fp:
reader = csv.reader(fp, delimiter=';')
header = next(reader)
data = {}
for row in reader:
for i, val in enumerate(row):
data.setdefault(header[i], []).append(float(val.replace(',', '.'))) # FIXME: Hack to handle locale problem
rzs = np.array(data.pop('rho z'))
distributions = {}
for transition, values in data.items():
transition = from_string(transition.strip())
enf = np.array([rzs, values]).transpose()
distributions[PhotonKey(transition, True, PhotonKey.P)] = enf
return PhiZResult(distributions)
class TestPhiZResult(TestCase):
def setUp(self):
TestCase.setUp(self)
self.t1 = Transition(29, 9, 4)
distributions = {}
gnf_zs = [1.0, 2.0, 3.0, 4.0]
gnf_values = [0.0, 5.0, 4.0, 1.0]
gnf_uncs = [0.01, 0.02, 0.03, 0.04]
gnf = np.array([gnf_zs, gnf_values, gnf_uncs]).T
distributions[PhotonKey(self.t1, False, PhotonKey.P)] = gnf
gt_zs = [1.0, 2.0, 3.0, 4.0]
gt_values = [10.0, 15.0, 14.0, 11.0]
gt_uncs = [0.11, 0.12, 0.13, 0.14]
gt = np.array([gt_zs, gt_values, gt_uncs]).T
distributions[PhotonKey(self.t1, False, PhotonKey.T)] = gt
enf_zs = [1.0, 2.0, 3.0, 4.0]
enf_values = [20.0, 25.0, 24.0, 21.0]
enf = np.array([enf_zs, enf_values]).T
distributions[PhotonKey(self.t1, True, PhotonKey.P)] = enf
et_zs = [1.0, 2.0, 3.0, 4.0]
et_values = [30.0, 35.0, 34.0, 31.0]
et_uncs = [0.31, 0.32, 0.33, 0.34]
et = np.array([et_zs, et_values, et_uncs]).T
distributions[PhotonKey(self.t1, True, PhotonKey.T)] = et
self.r = PhiZResult(distributions)
def tearDown(self):
TestCase.tearDown(self)
def testexists(self):
self.assertTrue(self.r.exists(self.t1))
self.assertTrue(self.r.exists('Cu La1'))
self.assertFalse(self.r.exists('Cu Ka1'))
def testget(self):
phirhoz = self.r.get(self.t1, absorption=False, fluorescence=False)
self.assertEqual((4, 3), phirhoz.shape)
self.assertAlmostEqual(1.0, phirhoz[0][0], 4)
self.assertAlmostEqual(0.0, phirhoz[0][1], 4)
self.assertAlmostEqual(0.01, phirhoz[0][2], 4)
phirhoz = self.r.get(self.t1, absorption=False, fluorescence=True)
self.assertEqual((4, 3), phirhoz.shape)
self.assertAlmostEqual(1.0, phirhoz[0][0], 4)
self.assertAlmostEqual(10.0, phirhoz[0][1], 4)
self.assertAlmostEqual(0.11, phirhoz[0][2], 4)
phirhoz = self.r.get(self.t1, absorption=True, fluorescence=False)
self.assertEqual((4, 3), phirhoz.shape)
self.assertAlmostEqual(1.0, phirhoz[0][0], 4)
self.assertAlmostEqual(20.0, phirhoz[0][1], 4)
self.assertAlmostEqual(0.0, phirhoz[0][2], 4)
phirhoz = self.r.get(self.t1, absorption=True, fluorescence=True)
self.assertEqual((4, 3), phirhoz.shape)
self.assertAlmostEqual(1.0, phirhoz[0][0], 4)
self.assertAlmostEqual(30.0, phirhoz[0][1], 4)
self.assertAlmostEqual(0.31, phirhoz[0][2], 4)
def testintegral(self):
val = self.r.integral(self.t1, absorption=False, fluorescence=False)
self.assertAlmostEqual(10.0, val, 4)
val = self.r.integral(self.t1, absorption=False, fluorescence=True)
self.assertAlmostEqual(50.0, val, 4)
val = self.r.integral(self.t1, absorption=True, fluorescence=False)
self.assertAlmostEqual(90.0, val, 4)
val = self.r.integral(self.t1, absorption=True, fluorescence=True)
self.assertAlmostEqual(130.0, val, 4)
def testfchi(self):
val = self.r.fchi(self.t1, fluorescence=False)
self.assertAlmostEqual(9.0, val, 4)
val = self.r.fchi(self.t1, fluorescence=True)
self.assertAlmostEqual(2.6, val, 4)
def testiter_transitions(self):
self.assertEqual(1, len(list(self.r.iter_transitions())))
def testiter_distributions(self):
self.assertEqual(1, len(list(self.r.iter_distributions())))
