def test_mosflm_refine_cell(dials_regression, tmpdir):
tmpdir.chdir()
templ, directory = get_template_and_directory(dials_regression)
matrix = ''' -0.00728371 -0.00173706 -0.00994261
0.01008485 -0.00175152 -0.00708190
-0.00041078 -0.01220000 0.00243238
0.000 0.000 0.000
-0.5851825 -0.1395579 -0.7988023
0.8102298 -0.1407195 -0.5689691
-0.0330029 -0.9801641 0.1954206
78.6541 78.6541 78.6542 90.0000 90.0000 90.0000
0.000 0.000 0.000
SYMM I23 \n'''
tmpdir.join('xiaindex.mat').write(matrix)
refiner = MosflmRefineCell()
refiner.set_images(((1,3), (21,23), (43,45)))
refiner.set_input_mat_file("xiaindex.mat")
refiner.set_output_mat_file("xiarefine.mat")
refiner.set_directory(directory)
refiner.set_template(templ)
refiner.set_beam_centre(two_images_indexing['beam_centre'])
refiner.set_mosaic(two_images_indexing['mosaicity'])
refiner.run()
output = ''.join(refiner.get_all_output())
print(output)
background_residual = refiner.get_background_residual()
rms_values = refiner.get_rms_values()
ref_residual = {
1: {1: 0.1, 2: 0.1, 3: 0.1, 43: 0.1, 44: 0.2, 45: 0.1, 21: 0.1, 22: 0.1, 23: 0.1},
2: {1: 0.1, 2: 0.1, 3: 0.1, 43: 0.1, 44: 0.2, 45: 0.1, 21: 0.1, 22: 0.1, 23: 0.1},
3: {1: 0.1, 2: 0.1, 3: 0.1, 43: 0.1, 44: 0.2, 45: 0.1, 21: 0.1, 22: 0.1, 23: 0.1}
}
for cycle in background_residual:
for frame in background_residual[cycle]:
assert background_residual[cycle][frame] == \
pytest.approx(ref_residual[cycle][frame], abs=0.1)
ref_values = {
1: [0.027, 0.029, 0.027, 0.025, 0.027, 0.025, 0.024, 0.022, 0.025],
2: [0.02, 0.021, 0.023, 0.021, 0.02, 0.017, 0.018, 0.019, 0.022],
3: [0.02, 0.021, 0.025, 0.022, 0.021, 0.019, 0.018, 0.019, 0.021]
}
for cycle in rms_values:
for frame, value in enumerate(rms_values[cycle]):
assert value == \
pytest.approx(ref_values[cycle][frame], abs=0.05)
def _mosflm_refine_cell(self, idxr, set_spacegroup=None):
'''Perform the refinement of the unit cell. This will populate
all of the information needed to perform the integration.'''
# FIXME this will die after #1285
#if not self.get_integrater_indexer():
#Debug.write('Replacing indexer of %s with self at %d' % \
#(str(self.get_integrater_indexer()), __line__))
#self.set_integrater_indexer(self)
#idxr = self.get_integrater_indexer()
if not idxr.get_indexer_payload('mosflm_orientation_matrix'):
raise RuntimeError('unexpected situation in indexing')
lattice = idxr.get_indexer_lattice()
mosaic = idxr.get_indexer_mosaic()
cell = idxr.get_indexer_cell()
beam_centre = idxr.get_indexer_beam_centre()
# bug # 3174 - if mosaic is very small (here defined to be
# 0.25 x osc_width) then set to this minimum value.
phi_width = idxr.get_phi_width()
if mosaic < 0.25 * phi_width:
mosaic = 0.25 * phi_width
if idxr.get_indexer_payload('mosflm_beam_centre'):
beam_centre = idxr.get_indexer_payload('mosflm_beam_centre')
distance = idxr.get_indexer_distance()
matrix = idxr.get_indexer_payload('mosflm_orientation_matrix')
integration_params = idxr.get_indexer_payload(
'mosflm_integration_parameters')
if integration_params is None:
integration_params = {}
if integration_params:
if 'separation' in integration_params:
self.set_refiner_parameter(
'mosflm', 'separation',
'%f %f' % tuple(integration_params['separation']))
if 'raster' in integration_params:
self.set_refiner_parameter(
'mosflm', 'raster',
'%d %d %d %d %d' % tuple(integration_params['raster']))
idxr.set_indexer_payload('mosflm_integration_parameters', None)
spacegroup_number = lattice_to_spacegroup(lattice)
# copy these into myself for later reference, if indexer
# is not myself - everything else is copied via the
# cell refinement process...
from cctbx import sgtbx
from dxtbx.model import Crystal
from dxtbx.model.detector_helpers import set_mosflm_beam_centre
experiment = idxr.get_indexer_experiment_list()[0]
set_mosflm_beam_centre(experiment.detector, experiment.beam,
beam_centre)
space_group = sgtbx.space_group_info(number=spacegroup_number).group()
a, b, c = experiment.crystal.get_real_space_vectors()
experiment.crystal = Crystal(a, b, c, space_group=space_group)
# FIXME surely these have been assigned further up?!
if not self._mosflm_cell_ref_images:
self._mosflm_cell_ref_images = self._refine_select_images(mosaic)
f = open(
os.path.join(self.get_working_directory(),
'xiaindex-%s.mat' % lattice), 'w')
for m in matrix:
f.write(m)
f.close()
# then start the cell refinement
refiner = MosflmRefineCell()
refiner.set_working_directory(self.get_working_directory())
auto_logfiler(refiner)
if self._mosflm_gain:
refiner.set_gain(self._mosflm_gain)
refiner.set_template(os.path.basename(idxr.get_template()))
refiner.set_directory(idxr.get_directory())
refiner.set_input_mat_file('xiaindex-%s.mat' % lattice)
refiner.set_output_mat_file('xiarefine.mat')
refiner.set_beam_centre(beam_centre)
refiner.set_unit_cell(cell)
refiner.set_distance(distance)
if set_spacegroup:
refiner.set_space_group_number(set_spacegroup)
else:
refiner.set_space_group_number(spacegroup_number)
# FIXME 18/JUN/08 - it may help to have an overestimate
# of the mosaic spread in here as it *may* refine down
# better than up... - this is not a good idea as it may
# also not refine at all! - 12972 # integration failed
# Bug # 3103
if self._mosflm_cell_ref_double_mosaic:
mosaic *= 2.0
refiner.set_mosaic(mosaic)
# if set, use the resolution for cell refinement - see
# bug # 2078...
if self._mosflm_cell_ref_resolution:
refiner.set_resolution(self._mosflm_cell_ref_resolution)
refiner.set_fix_mosaic(self._mosflm_postref_fix_mosaic)
# note well that the beam centre is coming from indexing so
# should be already properly handled
#if idxr.get_wavelength_prov() == 'user':
#refiner.set_wavelength(idxr.get_wavelength())
# belt + braces mode - only to be used when considering failover,
# will run an additional step of autoindexing prior to cell
# refinement, to be used only after proving that not going it
# will result in cell refinement failure - will use the first
# wedge... N.B. this is only useful if the indexer is Labelit
# not Mosflm...
refiner.set_add_autoindex(self._mosflm_cell_ref_add_autoindex)
# get all of the stored parameter values
parameters = self.get_refiner_parameters('mosflm')
refiner.update_parameters(parameters)
detector = idxr.get_detector()
detector_width, detector_height = detector[0].get_image_size_mm()
lim_x = 0.5 * detector_width
lim_y = 0.5 * detector_height
Debug.write('Scanner limits: %.1f %.1f' % (lim_x, lim_y))
refiner.set_limits(lim_x, lim_y)
refiner.set_images(self._mosflm_cell_ref_images)
failover = PhilIndex.params.xia2.settings.failover
if failover and not self._mosflm_cell_ref_add_autoindex:
refiner.set_ignore_cell_refinement_failure(True)
refiner.run()
# then look to see if the cell refinement worked ok - if it
# didn't then this may indicate that the lattice was wrongly
# selected.
cell_refinement_ok = refiner.cell_refinement_ok()
if not cell_refinement_ok:
Debug.write('Repeating cell refinement...')
self.set_integrater_prepare_done(False)
self._mosflm_cell_ref_add_autoindex = True
return [0.0], [0.0]
rms_values = refiner.get_rms_values()
background_residual = refiner.get_background_residual()
self._refinr_cell = refiner.get_refined_unit_cell()
distance = refiner.get_refined_distance2()
experiment = idxr.get_indexer_experiment_list()[0]
from xia2.Wrappers.Mosflm.AutoindexHelpers import set_distance
set_distance(experiment.detector, distance)
self.set_refiner_parameter('mosflm', 'distortion yscale',
refiner.get_refined_distortion_yscale())
self.set_refiner_parameter('mosflm', 'raster', refiner.get_raster())
#integration_params['distortion yscale'] \
#= refiner.get_refined_distortion_yscale()
#integration_params['raster'] = refiner.get_raster()
separation = refiner.get_separation()
if separation is not None:
self.set_refiner_parameter('mosflm', 'separation',
'%s %s' % refiner.get_separation())
#integration_params['separation'] = refiner.get_separation()
self.set_refiner_parameter('mosflm', 'beam',
'%s %s' % refiner.get_refined_beam_centre())
self.set_refiner_parameter('mosflm', 'distance',
refiner.get_refined_distance())
self.set_refiner_parameter('mosflm', 'distortion tilt',
refiner.get_refined_distortion_tilt())
self.set_refiner_parameter('mosflm', 'distortion twist',
refiner.get_refined_distortion_twist())
integration_params['beam'] = tuple(
float(b) for b in refiner.get_refined_beam_centre())
integration_params['distance'] = refiner.get_refined_distance()
integration_params[
'distortion tilt'] = refiner.get_refined_distortion_tilt()
integration_params[
'distortion twist'] = refiner.get_refined_distortion_twist()
idxr._indxr_mosaic = refiner.get_refined_mosaic()
idxr.set_indexer_payload(
'mosflm_orientation_matrix',
open(os.path.join(self.get_working_directory(), 'xiarefine.mat'),
'r').readlines())
self.set_refiner_payload(
'mosflm_orientation_matrix',
idxr.get_indexer_payload('mosflm_orientation_matrix'))
self.set_refiner_payload('mosaic', refiner.get_refined_mosaic())
self.set_refiner_payload('beam', integration_params['beam'])
self.set_refiner_payload('distance', integration_params['distance'])
from xia2.Wrappers.Mosflm.AutoindexHelpers import crystal_model_from_mosflm_mat
# make a dxtbx crystal_model object from the mosflm matrix
experiment = idxr.get_indexer_experiment_list()[0]
crystal_model = crystal_model_from_mosflm_mat(
idxr._indxr_payload['mosflm_orientation_matrix'],
unit_cell=refiner.get_refined_unit_cell(),
space_group=experiment.crystal.get_space_group())
experiment.crystal = crystal_model
#self.set_refiner_payload(
#'mosflm_integration_parameters', integration_params)
self._refinr_refined_experiment_list = ExperimentList([experiment])
return rms_values, background_residual
def _mosflm_test_refine_cell(self, idxr, test_lattice):
'''Test performing cell refinement in with a different
lattice to the one which was selected by the autoindex
procedure. This should not change anything in the class.'''
#idxr = self.get_integrater_indexer()
lattice = idxr.get_indexer_lattice()
mosaic = idxr.get_indexer_mosaic()
beam_centre = idxr.get_indexer_beam_centre()
distance = idxr.get_indexer_distance()
matrix = idxr.get_indexer_payload('mosflm_orientation_matrix')
phi_width = idxr.get_phi_width()
if mosaic < 0.25 * phi_width:
mosaic = 0.25 * phi_width
input_matrix = ''
for m in matrix:
input_matrix += '%s\n' % m
new_matrix = transmogrify_matrix(lattice, input_matrix, test_lattice,
idxr.get_wavelength(),
self.get_working_directory())
spacegroup_number = lattice_to_spacegroup(test_lattice)
if not self._mosflm_cell_ref_images:
raise RuntimeError('wedges must be assigned already')
open(
os.path.join(self.get_working_directory(),
'test-xiaindex-%s.mat' % lattice),
'w').write(new_matrix)
refiner = MosflmRefineCell()
refiner.set_working_directory(self.get_working_directory())
auto_logfiler(refiner)
if self._mosflm_gain:
refiner.set_gain(self._mosflm_gain)
refiner.set_template(os.path.basename(idxr.get_template()))
refiner.set_directory(idxr.get_directory())
refiner.set_input_mat_file('test-xiaindex-%s.mat' % lattice)
refiner.set_output_mat_file('test-xiarefine.mat')
refiner.set_beam_centre(beam_centre)
refiner.set_distance(distance)
refiner.set_space_group_number(spacegroup_number)
# FIXME 18/JUN/08 - it may help to have an overestimate
# of the mosaic spread in here as it *may* refine down
# better than up... - this is not a good idea as it may
# also not refine at all! - 12972 # integration failed
# Bug # 3103
if self._mosflm_cell_ref_double_mosaic:
mosaic *= 2.0
refiner.set_mosaic(mosaic)
# if set, use the resolution for cell refinement - see
# bug # 2078...
if self._mosflm_cell_ref_resolution:
refiner.set_resolution(self._mosflm_cell_ref_resolution)
refiner.set_fix_mosaic(self._mosflm_postref_fix_mosaic)
# note well that the beam centre is coming from indexing so
# should be already properly handled
#if idxr.get_wavelength_prov() == 'user':
#refiner.set_wavelength(idxr.get_wavelength())
# belt + braces mode - only to be used when considering failover,
# will run an additional step of autoindexing prior to cell
# refinement, to be used only after proving that not going it
# will result in cell refinement failure - will use the first
# wedge... N.B. this is only useful if the indexer is Labelit
# not Mosflm...
refiner.set_add_autoindex(self._mosflm_cell_ref_add_autoindex)
# XXX
# get all of the stored parameter values
parameters = self.get_refiner_parameters('mosflm')
refiner.update_parameters(parameters)
detector = idxr.get_detector()
detector_width, detector_height = detector[0].get_image_size_mm()
lim_x = 0.5 * detector_width
lim_y = 0.5 * detector_height
Debug.write('Scanner limits: %.1f %.1f' % (lim_x, lim_y))
refiner.set_limits(lim_x, lim_y)
refiner.set_images(self._mosflm_cell_ref_images)
refiner.run()
rms_values = refiner.get_rms_values()
background_residual = refiner.get_background_residual()
return rms_values, background_residual
def exercise_mosflm_refine_cell():
if not have_dials_regression:
print "Skipping exercise_mosflm_refine_cell(): dials_regression not configured"
return
xia2_demo_data = os.path.join(dials_regression, "xia2_demo_data")
template = os.path.join(xia2_demo_data, "insulin_1_%03i.img")
from xia2.Wrappers.Mosflm.MosflmIndex import MosflmIndex
from xia2.Wrappers.Mosflm.MosflmRefineCell import MosflmRefineCell
# exercise basic indexing from two images
cwd = os.path.abspath(os.curdir)
tmp_dir = open_tmp_directory()
os.chdir(tmp_dir)
from xia2.Experts.FindImages import image2template_directory
templ, directory = image2template_directory(template %1)
indexer = MosflmIndex()
indexer.set_images((1,45))
indexer.set_directory(directory)
indexer.set_template(templ)
indexer.run()
refiner = MosflmRefineCell()
refiner.set_images(((1,3),(21,23), (43,45)))
refiner.set_input_mat_file("xiaindex.mat")
refiner.set_output_mat_file("xiarefine.mat")
refiner.set_directory(directory)
refiner.set_template(templ)
refiner.set_beam_centre(indexer.get_refined_beam_centre())
refiner.set_mosaic(
sum(indexer.get_mosaic_spreads())/len(indexer.get_mosaic_spreads()))
refiner.run()
output = ''.join(refiner.get_all_output())
print output
background_residual = refiner.get_background_residual()
rms_values = refiner.get_rms_values()
ref_residual = {
1: {1: 0.1, 2: 0.1, 3: 0.1, 43: 0.1, 44: 0.2, 45: 0.1, 21: 0.1, 22: 0.1, 23: 0.1},
2: {1: 0.1, 2: 0.1, 3: 0.1, 43: 0.1, 44: 0.2, 45: 0.1, 21: 0.1, 22: 0.1, 23: 0.1},
3: {1: 0.1, 2: 0.1, 3: 0.1, 43: 0.1, 44: 0.2, 45: 0.1, 21: 0.1, 22: 0.1, 23: 0.1}
}
for cycle in background_residual:
for frame in background_residual[cycle]:
assert abs(background_residual[cycle][frame] -
ref_residual[cycle][frame]) <= 0.1, (cycle, frame)
ref_values = {
1: [0.027, 0.029, 0.027, 0.025, 0.027, 0.025, 0.024, 0.022, 0.025],
2: [0.02, 0.021, 0.023, 0.021, 0.02, 0.017, 0.018, 0.019, 0.022],
3: [0.02, 0.021, 0.025, 0.022, 0.021, 0.019, 0.018, 0.019, 0.021]
}
for cycle in rms_values:
for frame in range(len(rms_values[cycle])):
assert abs(rms_values[cycle][frame] - ref_values[cycle][frame]) <= 0.05
def exercise_mosflm_integrate():
if not have_dials_regression:
print "Skipping exercise_mosflm_integrate(): dials_regression not configured"
return
xia2_demo_data = os.path.join(dials_regression, "xia2_demo_data")
template = os.path.join(xia2_demo_data, "insulin_1_%03i.img")
from xia2.Wrappers.Mosflm.MosflmIndex import MosflmIndex
from xia2.Wrappers.Mosflm.MosflmRefineCell import MosflmRefineCell
from xia2.Wrappers.Mosflm.MosflmIntegrate import MosflmIntegrate
# exercise basic indexing from two images
cwd = os.path.abspath(os.curdir)
tmp_dir = open_tmp_directory()
os.chdir(tmp_dir)
from xia2.Experts.FindImages import image2template_directory
templ, directory = image2template_directory(template %1)
indexer = MosflmIndex()
indexer.set_images((1,45))
indexer.set_directory(directory)
indexer.set_template(templ)
indexer.run()
refiner = MosflmRefineCell()
refiner.set_images(((1,3),(21,23), (43,45)))
refiner.set_input_mat_file("xiaindex.mat")
refiner.set_output_mat_file("xiarefine.mat")
refiner.set_directory(directory)
refiner.set_template(templ)
refiner.set_beam_centre(indexer.get_refined_beam_centre())
refiner.set_mosaic(
sum(indexer.get_mosaic_spreads())/len(indexer.get_mosaic_spreads()))
refiner.run()
#output = ''.join(refiner.get_all_output())
#print output
integrater = MosflmIntegrate()
integrater.set_image_range((1,45))
integrater.set_input_mat_file("xiaindex.mat")
#integrater.set_output_mat_file("xiarefine.mat")
integrater.set_directory(directory)
integrater.set_template(templ)
integrater.set_beam_centre(
tuple(float(x) for x in refiner.get_refined_beam_centre()))
integrater.set_distance(refiner.get_refined_distance())
integrater.set_mosaic(refiner.get_refined_mosaic())
integrater.set_space_group_number(197)
integrater.set_unit_cell(refiner.get_refined_unit_cell())
integrater.run()
hklout = integrater.get_hklout()
assert os.path.exists(hklout)
from iotbx.reflection_file_reader import any_reflection_file
miller_arrays = any_reflection_file(hklout).as_miller_arrays(
merge_equivalents=False)
for ma in miller_arrays:
assert ma.size() == 81011, ma.size()
assert len(miller_arrays) == 13, len(miller_arrays)
assert not integrater.get_bgsig_too_large()
assert not integrater.get_getprof_error()
assert integrater.get_batches_out() == (1, 45)
assert integrater.get_mosaic_spreads() == [
0.43, 0.42, 0.42, 0.41, 0.41, 0.41, 0.42, 0.42, 0.42, 0.42, 0.42, 0.42,
0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.4, 0.4, 0.4, 0.4, 0.4,
0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4,
0.4, 0.39, 0.39, 0.39, 0.39, 0.39]
assert integrater.get_nref() == 81011
assert len(integrater.get_postref_result()) == 45
assert integrater.get_postref_result()[1] == {
'ovrl': 0.0, 'full': 507.0, 'dist': 158.6, 'ccx': -0.01, 'yscale': 1.0,
'sdrat': 7.5, 'tilt': 25.0, 'rsym': 0.027, 'bad': 0.0, 'i/sigi': 18.1,
'i/sigi_out': 1.6, 'twist': 13.0, 'resid': 0.021, 'wresid': 1.1,
'part': 1309.0, 'nsym': 18.0, 'neg': 158.0, 'ccy': -0.01, 'ccom': -0.01,
'toff': 0.0, 'roff': 0.0}
assert integrater.get_residuals() == [
1.1, 0.9, 1.0, 1.0, 0.8, 0.9, 1.0, 0.8, 0.9, 0.9, 0.9, 0.9, 1.0, 1.0, 1.0,
0.9, 0.9, 0.9, 0.9, 0.8, 1.0, 0.9, 0.8, 0.9, 1.0, 0.8, 1.0, 0.9, 0.8, 0.8,
0.9, 0.9, 0.9, 0.9, 0.9, 1.0, 0.8, 0.9, 1.0, 0.7, 0.8, 0.9, 0.8, 0.9, 1.0]
assert integrater.get_spot_status() \
== 'ooooooooooooooooooooooooooooooooooooooooooooo'
def exercise_mosflm_integrate():
if not have_dials_regression:
print "Skipping exercise_mosflm_integrate(): dials_regression not configured"
return
xia2_demo_data = os.path.join(dials_regression, "xia2_demo_data")
template = os.path.join(xia2_demo_data, "insulin_1_%03i.img")
from xia2.Wrappers.Mosflm.MosflmIndex import MosflmIndex
from xia2.Wrappers.Mosflm.MosflmRefineCell import MosflmRefineCell
from xia2.Wrappers.Mosflm.MosflmIntegrate import MosflmIntegrate
# exercise basic indexing from two images
cwd = os.path.abspath(os.curdir)
tmp_dir = open_tmp_directory()
os.chdir(tmp_dir)
from xia2.Experts.FindImages import image2template_directory
templ, directory = image2template_directory(template %1)
indexer = MosflmIndex()
indexer.set_images((1,45))
indexer.set_directory(directory)
indexer.set_template(templ)
indexer.run()
refiner = MosflmRefineCell()
refiner.set_images(((1,3),(21,23), (43,45)))
refiner.set_input_mat_file("xiaindex.mat")
refiner.set_output_mat_file("xiarefine.mat")
refiner.set_directory(directory)
refiner.set_template(templ)
refiner.set_beam_centre(indexer.get_refined_beam_centre())
refiner.set_mosaic(
sum(indexer.get_mosaic_spreads())/len(indexer.get_mosaic_spreads()))
refiner.run()
#output = ''.join(refiner.get_all_output())
#print output
integrater = MosflmIntegrate()
integrater.set_image_range((1,45))
integrater.set_input_mat_file("xiaindex.mat")
#integrater.set_output_mat_file("xiarefine.mat")
integrater.set_directory(directory)
integrater.set_template(templ)
integrater.set_beam_centre(
tuple(float(x) for x in refiner.get_refined_beam_centre()))
integrater.set_distance(refiner.get_refined_distance())
integrater.set_mosaic(refiner.get_refined_mosaic())
integrater.set_space_group_number(197)
integrater.set_unit_cell(refiner.get_refined_unit_cell())
integrater.run()
hklout = integrater.get_hklout()
assert os.path.exists(hklout)
from iotbx.reflection_file_reader import any_reflection_file
miller_arrays = any_reflection_file(hklout).as_miller_arrays(
merge_equivalents=False)
for ma in miller_arrays:
assert ma.size() == 81011, ma.size()
assert len(miller_arrays) == 13, len(miller_arrays)
assert not integrater.get_bgsig_too_large()
assert not integrater.get_getprof_error()
assert integrater.get_batches_out() == (1, 45)
assert integrater.get_mosaic_spreads() == [
0.43, 0.42, 0.42, 0.41, 0.41, 0.41, 0.42, 0.42, 0.42, 0.42, 0.42, 0.42,
0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.41, 0.4, 0.4, 0.4, 0.4, 0.4,
0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4,
0.4, 0.39, 0.39, 0.39, 0.39, 0.39]
assert integrater.get_nref() == 81011
assert len(integrater.get_postref_result()) == 45
assert integrater.get_postref_result()[1] == {
'ovrl': 0.0, 'full': 507.0, 'dist': 158.6, 'ccx': -0.01, 'yscale': 1.0,
'sdrat': 7.5, 'tilt': 25.0, 'rsym': 0.027, 'bad': 0.0, 'i/sigi': 18.1,
'i/sigi_out': 1.6, 'twist': 13.0, 'resid': 0.021, 'wresid': 1.1,
'part': 1309.0, 'nsym': 18.0, 'neg': 158.0, 'ccy': -0.01, 'ccom': -0.01,
'toff': 0.0, 'roff': 0.0}
assert integrater.get_residuals() == [
1.1, 0.9, 1.0, 1.0, 0.8, 0.9, 1.0, 0.8, 0.9, 0.9, 0.9, 0.9, 1.0, 1.0, 1.0,
0.9, 0.9, 0.9, 0.9, 0.8, 1.0, 0.9, 0.8, 0.9, 1.0, 0.8, 1.0, 0.9, 0.8, 0.8,
0.9, 0.9, 0.9, 0.9, 0.9, 1.0, 0.8, 0.9, 1.0, 0.7, 0.8, 0.9, 0.8, 0.9, 1.0]
assert integrater.get_spot_status() \
== 'ooooooooooooooooooooooooooooooooooooooooooooo'