def tst_getters(self):
from math import sqrt
from dials.algorithms.profile_model.modeller import CircleSampler
width = 1000
height = 1000
scan_range = (2, 12)
depth = scan_range[1] - scan_range[0]
nz = 2
sampler = CircleSampler((width, height), scan_range, nz)
image_size = sampler.image_size()
scan_range = sampler.scan_range()
image_centre = sampler.image_centre()
r0 = sampler.r0()
r1 = sampler.r1()
r2 = sampler.r2()
size = len(sampler)
assert(width == image_size[0])
assert(height == image_size[1])
assert(width // 2 == image_centre[0])
assert(height // 2 == image_centre[1])
assert(r0 == min([width // 2, height // 2]))
assert(r1 == r0 / 3.0)
assert(r2 == r1 * sqrt(5.0))
assert(9 * nz == size)
print 'OK'
def tst_getters(self):
from math import sqrt
from dials.algorithms.profile_model.modeller import CircleSampler
width = 1000
height = 1000
scan_range = (2, 12)
depth = scan_range[1] - scan_range[0]
nz = 2
sampler = CircleSampler((width, height), scan_range, nz)
image_size = sampler.image_size()
scan_range = sampler.scan_range()
image_centre = sampler.image_centre()
r0 = sampler.r0()
r1 = sampler.r1()
r2 = sampler.r2()
size = len(sampler)
assert (width == image_size[0])
assert (height == image_size[1])
assert (width // 2 == image_centre[0])
assert (height // 2 == image_centre[1])
assert (r0 == min([width // 2, height // 2]))
assert (r1 == r0 / 3.0)
assert (r2 == r1 * sqrt(5.0))
assert (9 * nz == size)
print 'OK'
def test_pickle():
from dials.algorithms.profile_model.modeller import CircleSampler
width = 1000
height = 1000
scan_range = (2, 12)
nz = 2
sampler = CircleSampler((width, height), scan_range, nz)
sampler2 = pickle.loads(pickle.dumps(sampler))
assert sampler.image_size() == sampler2.image_size()
assert sampler.num_z() == sampler2.num_z()
def tst_pickle(self):
from dials.algorithms.profile_model.modeller import CircleSampler
import tempfile
import cPickle as pickle
width = 1000
height = 1000
scan_range = (2, 12)
depth = scan_range[1] - scan_range[0]
nz = 2
sampler = CircleSampler((width, height), scan_range, nz)
tf = tempfile.TemporaryFile()
pickle.dump(sampler, tf)
tf.flush()
tf.seek(0)
sampler2 = pickle.load(tf)
assert(sampler.image_size() == sampler2.image_size())
assert(sampler.num_z() == sampler2.num_z())
print 'OK'
def tst_pickle(self):
from dials.algorithms.profile_model.modeller import CircleSampler
import tempfile
import cPickle as pickle
width = 1000
height = 1000
scan_range = (2, 12)
depth = scan_range[1] - scan_range[0]
nz = 2
sampler = CircleSampler((width, height), scan_range, nz)
tf = tempfile.TemporaryFile()
pickle.dump(sampler, tf)
tf.flush()
tf.seek(0)
sampler2 = pickle.load(tf)
assert (sampler.image_size() == sampler2.image_size())
assert (sampler.num_z() == sampler2.num_z())
print 'OK'
def test_getters():
from dials.algorithms.profile_model.modeller import CircleSampler
width = 1000
height = 1000
scan_range = (2, 12)
nz = 2
sampler = CircleSampler((width, height), scan_range, nz)
image_size = sampler.image_size()
image_centre = sampler.image_centre()
r0 = sampler.r0()
r1 = sampler.r1()
r2 = sampler.r2()
size = len(sampler)
assert width == image_size[0]
assert height == image_size[1]
assert width // 2 == image_centre[0]
assert height // 2 == image_centre[1]
assert r0 == min([width // 2, height // 2])
assert r1 == r0 / 3.0
assert r2 == r1 * math.sqrt(5.0)
assert 9 * nz == size
