def do_import(filename):
logger.info("Loading %s" % os.path.basename(filename))
datablocks = DataBlockFactory.from_filenames([filename])
if len(datablocks) == 0:
try:
datablocks = DataBlockFactory.from_json_file(filename)
except ValueError:
raise Abort("Could not load %s" % filename)
if len(datablocks) == 0:
raise Abort("Could not load %s" % filename)
if len(datablocks) > 1:
raise Abort("Got multiple datablocks from file %s" % filename)
# Ensure the indexer and downstream applications treat this as set of stills
from dxtbx.imageset import ImageSet
reset_sets = []
for imageset in datablocks[0].extract_imagesets():
imageset = ImageSet(imageset.data(), imageset.indices())
imageset.set_scan(None)
imageset.set_goniometer(None)
reset_sets.append(imageset)
return DataBlockFactory.from_imageset(reset_sets)[0]
def tst_null_reader_imageset(self):
from dxtbx.imageset import NullReader, ImageSet
from dxtbx.model import Beam, Detector
paths = ['hello_world.cbf']
# Create the null reader
reader = NullReader(paths)
# Create the imageset
imageset = ImageSet(reader)
# Try to get an item
try:
imageset[0]
assert(False)
except Exception:
print 'OK'
# Try to slice the imageset
imageset2 = imageset[0:1]
print 'OK'
# Try some functions which should work
assert(len(imageset) == 1)
assert(imageset == imageset)
assert(imageset.indices() == [0])
assert(imageset.is_valid())
print 'OK'
# Try to get models (expect failure)
try:
imageset.get_image_models(0)
assert(False)
except Exception:
print 'OK'
# Get the image paths
assert(imageset.paths() == paths)
assert(imageset.get_path(0) == paths[0])
print 'OK'
imageset.set_beam(Beam(), 0)
imageset.set_detector(Detector(), 0)
assert(isinstance(imageset.get_beam(0), Beam))
assert(isinstance(imageset.get_detector(0), Detector))
print 'OK'
def do_import(filename):
logger.info("Loading %s"%os.path.basename(filename))
try:
datablocks = DataBlockFactory.from_json_file(filename)
except ValueError:
datablocks = DataBlockFactory.from_filenames([filename])
if len(datablocks) == 0:
raise Abort("Could not load %s"%filename)
if len(datablocks) > 1:
raise Abort("Got multiple datablocks from file %s"%filename)
# Ensure the indexer and downstream applications treat this as set of stills
from dxtbx.imageset import ImageSet
reset_sets = []
for imageset in datablocks[0].extract_imagesets():
imageset = ImageSet(imageset.reader(), imageset.indices())
imageset._models = imageset._models
imageset.set_scan(None)
imageset.set_goniometer(None)
reset_sets.append(imageset)
return DataBlockFactory.from_imageset(reset_sets)[0]
