def tst_scan(self):
from dxtbx.model import Scan, ScanFactory
from scitbx.array_family import flex
s1 = Scan((1, 3), (1.0, 0.2), flex.double([0.1, 0.1, 0.1]),
flex.double([0.1, 0.2, 0.3]))
d = s1.to_dict()
s2 = ScanFactory.from_dict(d)
assert (d['image_range'] == (1, 3))
assert (d['oscillation'] == (1.0, 0.2))
assert (d['exposure_time'] == [0.1, 0.1, 0.1])
assert (d['epochs'] == [0.1, 0.2, 0.3])
assert (s1 == s2)
# Test with a template and partial dictionary
d2 = {'exposure_time': [0.2, 0.2, 0.2]}
s3 = ScanFactory.from_dict(d2, d)
assert (s3.get_image_range() == (1, 3))
assert (s3.get_oscillation() == (1.0, 0.2))
assert (list(s3.get_exposure_times()) == [0.2, 0.2, 0.2])
assert (list(s3.get_epochs()) == [0.1, 0.2, 0.3])
assert (s2 != s3)
# Test with a partial epoch
d3 = {'image_range': (1, 10), 'epochs': [0.1, 0.2]}
s4 = ScanFactory.from_dict(d3, d)
assert (abs(s4.get_epochs()[2] - 0.3) < 1e-7)
assert (abs(s4.get_epochs()[9] - 1.0) < 1e-7)
print 'OK'
def test_scan():
from dxtbx.model import Scan
from scitbx.array_family import flex
s1 = Scan(image_range=(1, 20),
oscillation=(5.0, 0.1),
exposure_times=flex.double(range(20)),
epochs=flex.double(range(20, 40)))
d = s1.to_dict()
s2 = Scan.from_dict(d)
assert s1 == s2
def test_scan():
s1 = Scan(
image_range=(1, 20),
oscillation=(5.0, 0.1),
exposure_times=flex.double(range(20)),
epochs=flex.double(range(20, 40)),
)
s1.set_valid_image_ranges("0", [(1, 20)])
d = s1.to_dict()
s2 = Scan.from_dict(d)
assert s1 == s2
def __call__(self):
from dxtbx.model import Scan
from scitbx.array_family import flex
s1 = Scan(
image_range=(1, 20),
oscillation=(5.0, 0.1),
exposure_times=flex.double(range(20)),
epochs=flex.double(range(20,40)))
d = s1.to_dict()
s2 = Scan.from_dict(d)
assert(s1 == s2)
print 'OK'
def test_scan():
from dxtbx.model import Scan, ScanFactory
from scitbx.array_family import flex
s1 = Scan((1, 3), (1.0, 0.2), flex.double([0.1, 0.1, 0.1]),
flex.double([0.1, 0.2, 0.3]), 0)
d = s1.to_dict()
s2 = ScanFactory.from_dict(d)
assert d['image_range'] == (1, 3)
assert d['oscillation'] == (1.0, 0.2)
assert d['exposure_time'] == [0.1, 0.1, 0.1]
assert d['epochs'] == [0.1, 0.2, 0.3]
assert d['batch_offset'] == 0
assert s1 == s2
# Test with a template and partial dictionary
d2 = {'exposure_time': [0.2, 0.2, 0.2]}
s3 = ScanFactory.from_dict(d2, d)
assert s3.get_image_range() == (1, 3)
assert s3.get_oscillation() == (1.0, 0.2)
assert list(s3.get_exposure_times()) == [0.2, 0.2, 0.2]
assert list(s3.get_epochs()) == [0.1, 0.2, 0.3]
assert s2 != s3
# Test with a partial epoch
d3 = {
'image_range': (1, 10),
'epochs': [0.1, 0.2],
}
s4 = ScanFactory.from_dict(d3, d)
assert s4.get_epochs()[2] == pytest.approx(0.3)
assert s4.get_epochs()[9] == pytest.approx(1.0)
d4 = {'batch_offset': 100}
s5 = ScanFactory.from_dict(d4, d)
assert s5.get_batch_offset() == 100
assert s5.get_batch_range() == (101, 103)
def test_scan():
s1 = Scan(
(1, 3),
(1.0, 0.2),
flex.double([0.1, 0.1, 0.1]),
flex.double([0.1, 0.2, 0.3]),
0,
)
d = s1.to_dict()
s2 = ScanFactory.from_dict(d)
assert d["image_range"] == (1, 3)
assert d["oscillation"] == (1.0, 0.2)
assert d["exposure_time"] == [0.1, 0.1, 0.1]
assert d["epochs"] == [0.1, 0.2, 0.3]
assert d["batch_offset"] == 0
assert s1 == s2
# Test with a template and partial dictionary
d2 = {"exposure_time": [0.2, 0.2, 0.2]}
s3 = ScanFactory.from_dict(d2, d)
assert s3.get_image_range() == (1, 3)
assert s3.get_oscillation() == (1.0, 0.2)
assert list(s3.get_exposure_times()) == [0.2, 0.2, 0.2]
assert list(s3.get_epochs()) == [0.1, 0.2, 0.3]
assert s2 != s3
# Test with a partial epoch
d3 = {"image_range": (1, 10), "epochs": [0.1, 0.2]}
s4 = ScanFactory.from_dict(d3, d)
assert s4.get_epochs()[2] == pytest.approx(0.3)
assert s4.get_epochs()[9] == pytest.approx(1.0)
d4 = {"batch_offset": 100}
s5 = ScanFactory.from_dict(d4, d)
assert s5.get_batch_offset() == 100
assert s5.get_batch_range() == (101, 103)
