def main():
from dials.util.options import OptionParser
from dials.util.options import flatten_datablocks
import libtbx.load_env
usage = "%s [options] image_*.cbf" % (
libtbx.env.dispatcher_name)
parser = OptionParser(
usage=usage,
phil=phil_scope,
read_datablocks=True,
read_datablocks_from_images=True,
epilog=help_message)
params, options = parser.parse_args(show_diff_phil=True)
datablocks = flatten_datablocks(params.input.datablock)
if len(datablocks) == 0:
parser.print_help()
exit()
datablock = datablocks[0]
imageset = datablock.extract_imagesets()[0]
stability_fft(imageset, params)
def run(args):
from dials.util.options import OptionParser
from dials.util.options import flatten_datablocks
import libtbx.load_env
usage = "%s [options] datablock.json" % (
libtbx.env.dispatcher_name)
parser = OptionParser(
usage=usage,
phil=phil_scope,
read_datablocks=True,
read_datablocks_from_images=True,
epilog=help_message)
params, options = parser.parse_args(show_diff_phil=True)
datablocks = flatten_datablocks(params.input.datablock)
if len(datablocks) == 0:
parser.print_help()
exit()
assert(len(datablocks) == 1)
datablock = datablocks[0]
imagesets = datablock.extract_imagesets()
assert(len(imagesets) == 1)
imageset = imagesets[0]
images = params.image
for j, img_a in enumerate(images[:-1]):
for img_b in images[j+1:]:
a = imageset.get_raw_data(img_a)[0]
b = imageset.get_raw_data(img_b)[0]
n, cc = image_correlation(a, b)
print('%5d %5d %7d %.4f' % (img_a, img_b, n, cc))
def run(args):
from dials.util.options import OptionParser
from dials.util.options import flatten_datablocks
import libtbx.load_env
usage = "%s [options] datablock.json" % (
libtbx.env.dispatcher_name)
parser = OptionParser(
usage=usage,
phil=phil_scope,
read_datablocks=True,
read_datablocks_from_images=True,
epilog=help_message)
params, options = parser.parse_args(show_diff_phil=True)
datablocks = flatten_datablocks(params.input.datablock)
if len(datablocks) == 0:
parser.print_help()
exit()
assert(len(datablocks) == 1)
datablock = datablocks[0]
imagesets = datablock.extract_imagesets()
assert(len(imagesets) == 1)
imageset = imagesets[0]
images = params.image
for j, img_a in enumerate(images[:-1]):
for img_b in images[j+1:]:
a = imageset.get_raw_data(img_a)[0]
b = imageset.get_raw_data(img_b)[0]
n, cc = image_correlation(a, b)
print '%5d %5d %7d %.4f' % (img_a, img_b, n, cc)
def from_datablock_and_crystal(datablock, crystal, load_models=True):
"""Load an experiment list from a datablock."""
# Initialise the experiment list
experiments = ExperimentList()
# If we have a list, loop through
if isinstance(datablock, list):
for db in datablock:
experiments.extend(
ExperimentListFactory.from_datablock_and_crystal(
db, crystal, load_models))
return experiments
# Add all the imagesets
for imageset in datablock.extract_imagesets():
experiments.extend(
ExperimentListFactory.from_imageset_and_crystal(
imageset, crystal, load_models))
# Check the list is consistent
assert experiments.is_consistent()
return experiments