def test_strain_stress_object_1(strain_stress_object_1):
strains, stresses = strain_stress_object_1[
'strains'], strain_stress_object_1['stresses']
# check strain values
assert_allclose(strains['11'].values,
to_microstrain(np.arange(0.0, 0.075, 0.01)),
atol=1)
assert_allclose(strains['22'].values,
to_microstrain(np.arange(0.01, 0.085, 0.01)),
atol=1)
assert_allclose(strains['33'].values,
to_microstrain(np.arange(0.02, 0.095, 0.01)),
atol=1)
# Check stress values. Young's modulus and Poisson ratio values yield simple formulae
stress = stresses['diagonal']
trace = stress.strain11.values + stress.strain22.values + stress.strain33.values
assert_allclose(stress['11'].values,
to_megapascal(stress.strain11.values + trace),
equal_nan=True,
atol=1)
assert_allclose(stress['22'].values,
to_megapascal(stress.strain22.values + trace),
equal_nan=True,
atol=1)
assert_allclose(stress['33'].values,
to_megapascal(stress.strain33.values + trace),
equal_nan=True,
atol=1)
stress = stresses['in-plane-strain']
assert_allclose(stress.strain33.values, np.zeros(9))
trace = stress.strain11.values + stress.strain22.values + stress.strain33.values
assert_allclose(stress['11'].values,
to_megapascal(stress.strain11.values + trace),
equal_nan=True,
atol=1)
assert_allclose(stress['22'].values,
to_megapascal(stress.strain22.values + trace),
equal_nan=True,
atol=1)
assert_allclose(stress['33'].values,
to_megapascal(stress.strain33.values + trace),
equal_nan=True,
atol=1)
stress = stresses['in-plane-stress']
assert_allclose(stress.strain33.values,
-1. * (stress.strain11.values + stress.strain22.values))
trace = stress.strain11.values + stress.strain22.values
assert_allclose(stress['11'].values,
to_megapascal(stress.strain11.values + trace),
equal_nan=True,
atol=1)
assert_allclose(stress['22'].values,
to_megapascal(stress.strain22.values + trace),
equal_nan=True,
atol=1)
assert_allclose(stress.stress33.values, np.zeros(9))
def test_strain_workspace(self, strain_stress_object_1):
r"""Export the strains to a MDHistoWorkspace"""
facade = StressFacade(strain_stress_object_1['stresses']['diagonal'])
for selection, expected in [
('11', [0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, nanf,
nanf]),
('1234',
[0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, nanf, nanf]),
('22',
[nanf, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, nanf]),
('1235',
[nanf, 0.01, 0.02, 0.03, 0.04, nanf, nanf, nanf, nanf, nanf]),
('1236',
[nanf, nanf, nanf, nanf, 0.045, 0.05, 0.06, 0.07, 0.08, nanf]),
('33',
[nanf, nanf, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09]),
('1237',
[nanf, nanf, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09])
]:
facade.selection = selection
assert_workspace(facade, 'strain', to_microstrain(expected))
facade = StressFacade(
strain_stress_object_1['stresses']['in-plane-strain'])
for selection, expected in [
('11', [0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, nanf]),
('1234', [0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, nanf]),
('22', [nanf, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08]),
('1235', [nanf, 0.01, 0.02, 0.03, 0.04, nanf, nanf, nanf, nanf]),
('1236', [nanf, nanf, nanf, nanf, 0.045, 0.05, 0.06, 0.07, 0.08]),
('33', [0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00])
]:
facade.selection = selection
assert_workspace(facade, 'strain', to_microstrain(expected))
facade = StressFacade(
strain_stress_object_1['stresses']['in-plane-stress'])
for selection, expected in [
('11', [0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, nanf]),
('1234', [0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, nanf]),
('22', [nanf, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08]),
('1235', [nanf, 0.01, 0.02, 0.03, 0.04, nanf, nanf, nanf, nanf]),
('1236', [nanf, nanf, nanf, nanf, 0.045, 0.05, 0.06, 0.07, 0.08]),
('33',
[nanf, -0.02, -0.04, -0.06, -0.08, -0.10, -0.12, -0.14, nanf])
]:
facade.selection = selection
assert_workspace(facade, 'strain', to_microstrain(expected))
def test_extend_to_stacked_point_list(self, strain_stress_object_1):
stress = strain_stress_object_1['stresses']['diagonal']
facade = StressFacade(stress)
facade.selection == '1235'
field = stress.strain22.strains[
0].field # scalar field sample for run 1235
assert_allclose(field.values,
to_microstrain([0.01, 0.02, 0.03, 0.04]),
atol=1)
field_extended = facade._extend_to_stacked_point_list(field)
nan = float('nan')
assert_allclose(field_extended.values,
to_microstrain([
nan, 0.01, 0.02, 0.03, 0.04, nan, nan, nan, nan,
nan
]),
atol=1)
def test_strain_single_builder(strain_single_builder):
# all input data
scan = {
'runnumber': '1234',
'subruns': [1, 2, 3, 4, 5, 6, 7, 8],
'peak_tag': 'test',
'wavelength': 2.0,
'd_reference': 1.0,
'peak_profile': 'pseudovoigt',
'background_type': 'linear',
# parameters appropriate to the selected peak shape, except for parameter PeakCentre
'native': {
'Intensity': [100, 110, 120, 130, 140, 150, 160, 170],
'FWHM': [1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7],
'Mixing': [1.0] * 8,
'A0': [10., 11., 12., 13., 14., 15., 16., 17.],
'A1': [0.00, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07],
},
'fit_costs': [1.0] * 8,
# will back-calculate PeakCentre values in order to end up with these lattice spacings
'd_spacing': [1.00, 1.01, 1.02, 1.03, 1.04, 1.05, 1.06, 1.07],
# errors in native parameters are taken to be their values times this error fraction
'error_fraction': 0.1,
'vx': [0., 1., 2., 3., 4., 5., 6., 7.],
'vy': [0.] * 8,
'vz': [0.] * 8
}
# create a StrainField object
strain = strain_single_builder(scan)
# assert entered data
assert_allclose(strain.point_list.vx, np.array(scan['vx']))
assert_allclose(strain.get_d_reference().values,
np.repeat(scan['d_reference'], len(scan['subruns'])))
assert_allclose(strain.get_dspacing_center().values,
np.array(scan['d_spacing']))
strain_expected_values = to_microstrain(
(scan['d_spacing'] - scan['d_reference']) / scan['d_reference'])
assert_allclose(strain.field.values, strain_expected_values, atol=1)
for name in ['Intensity', 'FWHM', 'Mixing', 'A0', 'A1']:
assert_allclose(
strain.get_effective_peak_parameter(name).values,
np.array(scan['native'][name]))
def test_strain_object_2(strain_object_2):
assert isinstance(strain_object_2, StrainField)
expected = to_microstrain(np.arange(0.01, 0.085, 0.01))
assert_allclose(strain_object_2.values, expected, atol=1)
def test_strain_object_0(strain_object_0):
assert isinstance(strain_object_0, StrainField)
expected = to_microstrain([0.00, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07])
assert_allclose(strain_object_0.values, expected, atol=1)
def test_strain_field(self, strain_stress_object_1):
r"""strains along for a particular direction or run number"""
facade = StressFacade(strain_stress_object_1['stresses']['diagonal'])
# direction 11 and components
facade.selection = '11'
expected = to_microstrain(
[0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, nanf, nanf])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
facade.selection = '1234'
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
# direction 22 and components
facade.selection = '22'
expected = to_microstrain(
[nanf, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, nanf])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
facade.selection = '1235'
expected = to_microstrain(
[nanf, 0.01, 0.02, 0.03, 0.04, nanf, nanf, nanf, nanf, nanf])
facade.selection = '1236'
expected = to_microstrain(
[nanf, nanf, nanf, nanf, 0.045, 0.05, 0.06, 0.07, 0.08, nanf])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
# direction 33 and components
facade.selection = '33'
expected = to_microstrain(
[nanf, nanf, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
facade.selection = '1237'
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
facade = StressFacade(
strain_stress_object_1['stresses']['in-plane-strain'])
# direction 11 and components
facade.selection = '11'
expected = to_microstrain(
[0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, nanf])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
facade.selection = '1234'
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
# direction 22 and components
facade.selection = '22'
expected = to_microstrain(
[nanf, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
facade.selection = '1235'
expected = to_microstrain(
[nanf, 0.01, 0.02, 0.03, 0.04, nanf, nanf, nanf, nanf])
facade.selection = '1236'
expected = to_microstrain(
[nanf, nanf, nanf, nanf, 0.045, 0.05, 0.06, 0.07, 0.08])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
# direction 33 and components
facade.selection = '33'
expected = to_microstrain(
[0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
facade = StressFacade(
strain_stress_object_1['stresses']['in-plane-stress'])
# direction 11 and components
facade.selection = '11'
expected = to_microstrain(
[0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, nanf])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
facade.selection = '1234'
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
# direction 22 and components
facade.selection = '22'
expected = to_microstrain(
[nanf, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
facade.selection = '1235'
expected = to_microstrain(
[nanf, 0.01, 0.02, 0.03, 0.04, nanf, nanf, nanf, nanf])
facade.selection = '1236'
expected = to_microstrain(
[nanf, nanf, nanf, nanf, 0.045, 0.05, 0.06, 0.07, 0.08])
assert_allclose(facade.strain.values, expected, equal_nan=True, atol=1)
# direction 33 and components
facade.selection = '33'
expected = to_microstrain(
[nanf, -0.02, -0.04, -0.06, -0.08, -0.10, -0.12, -0.14, nanf])
