def tst_kabsch(self):
from dials.algorithms.image.threshold import kabsch
nsig_b = 3
nsig_s = 3
result = kabsch(self.image, self.mask, self.size, nsig_b, nsig_s,
self.min_count)
print 'OK'
def tst_kabsch(self):
from dials.algorithms.image.threshold import kabsch
nsig_b = 3
nsig_s = 3
result = kabsch(self.image, self.mask, self.size, nsig_b, nsig_s, self.min_count)
print "OK"
def tst_kabsch_debug(self): from dials.algorithms.image.threshold import kabsch, KabschDebug nsig_b = 3 nsig_s = 3 result1 = kabsch(self.image, self.mask, self.size, nsig_b, nsig_s, self.min_count) debug = KabschDebug(self.image, self.mask, self.size, nsig_b, nsig_s, 0, self.min_count) result2 = debug.final_mask() assert(result1.all_eq(result2)) print 'OK'
def tst_kabsch_debug(self):
from dials.algorithms.image.threshold import kabsch, KabschDebug
nsig_b = 3
nsig_s = 3
result1 = kabsch(self.image, self.mask, self.size, nsig_b, nsig_s, self.min_count)
debug = KabschDebug(self.image, self.mask, self.size, nsig_b, nsig_s, 0, self.min_count)
result2 = debug.final_mask()
assert result1.all_eq(result2)
print "OK"
def tst_dispersion_threshold(self):
from dials.algorithms.image.threshold import kabsch, kabsch_w_gain
from dials.algorithms.image.threshold import DispersionThreshold
from dials.array_family import flex
nsig_b = 3
nsig_s = 3
algorithm = DispersionThreshold(self.image.all(), self.size, nsig_b, nsig_s, 0, self.min_count)
result1 = kabsch(self.image, self.mask, self.size, nsig_b, nsig_s, self.min_count)
result2 = kabsch_w_gain(self.image, self.mask, self.gain, self.size, nsig_b, nsig_s, self.min_count)
result3 = flex.bool(flex.grid(self.image.all()))
result4 = flex.bool(flex.grid(self.image.all()))
algorithm(self.image, self.mask, result3)
algorithm(self.image, self.mask, self.gain, result4)
assert result1 == result3
assert result2 == result4
print "OK"
def tst_dispersion_threshold(self):
from dials.algorithms.image.threshold import kabsch, kabsch_w_gain
from dials.algorithms.image.threshold import DispersionThreshold
from dials.array_family import flex
nsig_b = 3
nsig_s = 3
algorithm = DispersionThreshold(
self.image.all(),
self.size,
nsig_b,
nsig_s,
0,
self.min_count)
result1 = kabsch(
self.image,
self.mask,
self.size,
nsig_b,
nsig_s,
self.min_count)
result2 = kabsch_w_gain(
self.image,
self.mask,
self.gain,
self.size,
nsig_b,
nsig_s,
self.min_count)
result3 = flex.bool(flex.grid(self.image.all()))
result4 = flex.bool(flex.grid(self.image.all()))
algorithm(self.image, self.mask, result3)
algorithm(self.image, self.mask, self.gain, result4)
assert(result1 == result3)
assert(result2 == result4)
print 'OK'