def __call__(self):
from dxtbx.model import Detector, Panel # import dependency
d1 = Detector()
p = d1.add_panel()
p.set_name("p1")
p.set_type("panel")
p.set_pixel_size((0.1, 0.1))
p.set_image_size((100, 100))
p.set_trusted_range((0, 1000))
p.set_local_frame((1, 0, 0), (0, 1, 0), (0, 0, 1))
p = d1.add_panel()
p.set_name("p2")
p.set_type("panel")
p.set_pixel_size((0.2, 0.2))
p.set_image_size((200, 200))
p.set_trusted_range((0, 2000))
p.set_local_frame((0, 1, 0), (1, 0, 0), (0, 0, 1))
root = d1.hierarchy()
g = root.add_group()
g.set_name("g1")
g.set_type("group")
g.set_local_frame((0, 1, 0), (1, 0, 0), (0, 0, 2))
g.add_panel(d1[0])
g = root.add_group()
g.set_name("g2")
g.set_type("group")
g.set_local_frame((0, 1, 0), (1, 0, 0), (0, 0, 4))
g.add_panel(d1[1])
d = d1.to_dict()
d2 = Detector.from_dict(d)
assert(len(d1) == len(d2))
for p1, p2 in zip(d1, d2):
assert(p1 == p2)
assert(d1.hierarchy() == d2.hierarchy())
assert(d1 == d2)
print 'OK'
def __call__(self):
from dxtbx.model import Detector, Panel # import dependency
d1 = Detector()
p = d1.add_panel()
p.set_name("p1")
p.set_type("panel")
p.set_pixel_size((0.1, 0.1))
p.set_image_size((100, 100))
p.set_trusted_range((0, 1000))
p.set_local_frame((1, 0, 0), (0, 1, 0), (0, 0, 1))
p = d1.add_panel()
p.set_name("p2")
p.set_type("panel")
p.set_pixel_size((0.2, 0.2))
p.set_image_size((200, 200))
p.set_trusted_range((0, 2000))
p.set_local_frame((0, 1, 0), (1, 0, 0), (0, 0, 1))
root = d1.hierarchy()
g = root.add_group()
g.set_name("g1")
g.set_type("group")
g.set_local_frame((0, 1, 0), (1, 0, 0), (0, 0, 2))
g.add_panel(d1[0])
g = root.add_group()
g.set_name("g2")
g.set_type("group")
g.set_local_frame((0, 1, 0), (1, 0, 0), (0, 0, 4))
g.add_panel(d1[1])
d = d1.to_dict()
d2 = Detector.from_dict(d)
assert (len(d1) == len(d2))
for p1, p2 in zip(d1, d2):
assert (p1 == p2)
assert (d1.hierarchy() == d2.hierarchy())
assert (d1 == d2)
print 'OK'
def test_detector():
d1 = Detector()
p = d1.add_panel()
p.set_name("p1")
p.set_type("panel")
p.set_pixel_size((0.1, 0.1))
p.set_image_size((100, 100))
p.set_trusted_range((0, 1000))
p.set_local_frame((1, 0, 0), (0, 1, 0), (0, 0, 1))
p = d1.add_panel()
p.set_name("p2")
p.set_type("panel")
p.set_pixel_size((0.2, 0.2))
p.set_image_size((200, 200))
p.set_trusted_range((0, 2000))
p.set_local_frame((0, 1, 0), (1, 0, 0), (0, 0, 1))
root = d1.hierarchy()
g = root.add_group()
g.set_name("g1")
g.set_type("group")
g.set_local_frame((0, 1, 0), (1, 0, 0), (0, 0, 2))
g.add_panel(d1[0])
g = root.add_group()
g.set_name("g2")
g.set_type("group")
g.set_local_frame((0, 1, 0), (1, 0, 0), (0, 0, 4))
g.add_panel(d1[1])
d = d1.to_dict()
d2 = Detector.from_dict(d)
assert len(d1) == len(d2)
for p1, p2 in zip(d1, d2):
assert p1 == p2
assert d1.hierarchy() == d2.hierarchy()
assert d1 == d2
from dxtbx.model import Detector d = Detector() p1 = d.add_panel() p2 = d.add_panel() p3 = d.add_panel() p4 = d.add_panel() root = d.hierarchy() g = root.add_group() g.add_panel(d[0]) g.add_panel(d[1]) root.add_panel(d[2]) root.add_panel(d[3]) print d.to_dict()
from __future__ import print_function from dxtbx.model import Detector d = Detector() p1 = d.add_panel() p2 = d.add_panel() p3 = d.add_panel() p4 = d.add_panel() root = d.hierarchy() g = root.add_group() g.add_panel(d[0]) g.add_panel(d[1]) root.add_panel(d[2]) root.add_panel(d[3]) print(d.to_dict())
