def ImageD11_run(self):
while not self.ImageD11_stop_now():
ti = timer()
filein, data_object = self.queue_read.get(block=True)
if filein is None:
for t in self.thresholds_list:
self.queues_out[t].put((None, None),
block=True)
# exit the while 1
break
data_object = correct(
data_object,
self.dark,
self.flood,
do_median=self.do_median,
monitorval=self.monitorval,
monitorcol=self.monitorcol,
)
ti.tick(filein + " correct ")
for t in self.thresholds_list:
# Hope that data object is read only
self.queues_out[t].put((filein, data_object),
block=True)
ti.tock(" enqueue ")
print "Corrector thread stopping"
def go_for_it(file_series_object, darkimage, floodimage,
corrfunc , thresholds_list , li_objs,
OMEGA, OMEGASTEP, OMEGAOVERRIDE ):
for data_object in file_series_object:
t = timer()
if not hasattr( data_object, "data"):
# Is usually an IOError
if isinstance( data_object[1], IOError):
sys.stdout.write(data_object[1].strerror + '\n')
# data_object[1].filename
else:
import traceback
traceback.print_exception(data_object[0],data_object[1],data_object[2])
sys.exit()
continue
filein = data_object.filename
if OMEGAOVERRIDE or "Omega" not in data_object.header:
data_object.header["Omega"] = OMEGA
OMEGA += OMEGASTEP
OMEGAOVERRIDE = True # once you do it once, continue
if not OMEGAOVERRIDE and options.omegamotor != "Omega":
data_object.header["Omega"] = float( data_object.header[options.omegamotor] )
data_object = correct( data_object, darkimage, floodimage,
do_median = options.median,
monitorval = options.monitorval,
monitorcol = options.monitorcol,
)
t.tick(filein+" io/cor")
peaksearch( filein, data_object , corrfunc ,
thresholds_list , li_objs )
for t in thresholds_list:
li_objs[t].finalise()
def go_for_it(file_series_object, darkimage, floodimage, corrfunc,
thresholds_list, li_objs):
for inc, data_object in enumerate(file_series_object):
t = timer()
if not isinstance(data_object, fabio.fabioimage.fabioimage):
# Is usually an IOError
if isinstance(data_object[1], IOError):
sys.stdout.write(data_object[1].strerror + '\n')
# data_object[1].filename
else:
import traceback
traceback.print_exception(data_object[0],
data_object[1],
data_object[2])
sys.exit()
continue
filein = data_object.filename
data_object.header["Omega"] = float(omega_list[inc])
data_object = correct(
data_object,
darkimage,
floodimage,
do_median=options.median,
monitorval=options.monitorval,
monitorcol=options.monitorcol,
)
t.tick(filein + " io/cor")
peaksearch(filein, data_object, corrfunc, thresholds_list,
li_objs)
for t in thresholds_list:
li_objs[t].finalise()