def test_tune_centroid(RE, hw):
det = hw.det
motor = hw.motor
scan1 = bp.tune_centroid([det], 'det', motor, 0, 5, 0.1, 10, snake=True)
scan2 = bp.tune_centroid([det], 'det', motor, 0, 5, 0.01, 10, snake=True)
scan3 = bp.tune_centroid([det], 'det', motor, 0, 5, 0.1, 10, snake=False)
scan4 = bp.tune_centroid([det], 'det', motor, 5, 0, 0.1, 10, snake=False)
actual_traj = []
col = collector('motor', actual_traj)
counter1 = CallbackCounter()
counter2 = CallbackCounter()
RE(scan1, {'event': [col, counter1]})
RE(scan2, {'event': counter2})
#assert counter1.value > counter2.value
assert actual_traj[0] == 0
actual_traj = []
col = collector('motor', actual_traj)
RE(scan3, {'event': col})
monotonic_increasing = np.all(np.diff(actual_traj) > 0)
assert not monotonic_increasing
actual_traj = []
col = collector('motor', actual_traj)
RE(scan4, {'event': col})
monotonic_decreasing = np.all(np.diff(actual_traj) < 0)
assert not monotonic_decreasing
with pytest.raises(ValueError): # min step < 0
scan5 = bp.tune_centroid([det], 'det', motor, 5, 0, -0.1, 10, snake=False)
RE(scan5)
def test_count():
actual_intensity = []
col = collector('det', actual_intensity)
motor.set(0)
scan = Count([det])
RE(scan, subs={'event': col})
assert actual_intensity[0] == 1.
# multiple counts, via updating attribute
actual_intensity = []
col = collector('det', actual_intensity)
scan = Count([det], num=3, delay=0.05)
RE(scan, subs={'event': col})
assert scan.num == 3
assert actual_intensity == [1., 1., 1.]
# multiple counts, via passing arts to __call__
actual_intensity = []
col = collector('det', actual_intensity)
scan = Count([det], num=3, delay=0.05)
RE(scan(num=2), subs={'event': col})
assert actual_intensity == [1., 1.]
# attribute should still be 3
assert scan.num == 3
actual_intensity = []
col = collector('det', actual_intensity)
RE(scan, subs={'event': col})
assert actual_intensity == [1., 1., 1.]
def test_adaptive_ascan(RE, hw):
scan1 = bp.adaptive_scan([hw.det], 'det', hw.motor, 0, 5, 0.1, 1, 0.1, True)
scan2 = bp.adaptive_scan([hw.det], 'det', hw.motor, 0, 5, 0.1, 1, 0.2, True)
scan3 = bp.adaptive_scan([hw.det], 'det', hw.motor, 0, 5, 0.1, 1, 0.1, False)
scan4 = bp.adaptive_scan([hw.det], 'det', hw.motor, 5, 0, 0.1, 1, 0.1, False)
actual_traj = []
col = collector('motor', actual_traj)
counter1 = CallbackCounter()
counter2 = CallbackCounter()
RE(scan1, {'event': [col, counter1]})
RE(scan2, {'event': counter2})
assert counter1.value > counter2.value
assert actual_traj[0] == 0
actual_traj = []
col = collector('motor', actual_traj)
RE(scan3, {'event': col})
monotonic_increasing = np.all(np.diff(actual_traj) > 0)
assert monotonic_increasing
actual_traj = []
col = collector('motor', actual_traj)
RE(scan4, {'event': col})
monotonic_decreasing = np.all(np.diff(actual_traj) < 0)
assert monotonic_decreasing
with pytest.raises(ValueError): # min step < 0
scan5 = bp.adaptive_scan([hw.det], 'det', hw.motor,
5, 0, -0.1, 1.0, 0.1, False)
RE(scan5)
def test_tune_centroid(RE, hw):
det = hw.det
motor = hw.motor
scan1 = bp.tune_centroid([det], 'det', motor, 0, 5, 0.1, 10, snake=True)
scan2 = bp.tune_centroid([det], 'det', motor, 0, 5, 0.01, 10, snake=True)
scan3 = bp.tune_centroid([det], 'det', motor, 0, 5, 0.1, 10, snake=False)
scan4 = bp.tune_centroid([det], 'det', motor, 5, 0, 0.1, 10, snake=False)
actual_traj = []
col = collector('motor', actual_traj)
counter1 = CallbackCounter()
counter2 = CallbackCounter()
RE(scan1, {'event': [col, counter1]})
RE(scan2, {'event': counter2})
#assert counter1.value > counter2.value
assert actual_traj[0] == 0
actual_traj = []
col = collector('motor', actual_traj)
RE(scan3, {'event': col})
monotonic_increasing = np.all(np.diff(actual_traj) > 0)
assert not monotonic_increasing
actual_traj = []
col = collector('motor', actual_traj)
RE(scan4, {'event': col})
monotonic_decreasing = np.all(np.diff(actual_traj) < 0)
assert not monotonic_decreasing
with pytest.raises(ValueError): # min step < 0
scan5 = bp.tune_centroid([det], 'det', motor, 5, 0, -0.1, 10, snake=False)
RE(scan5)
def test_adaptive_ascan(RE, hw):
scan1 = bp.adaptive_scan([hw.det], 'det', hw.motor, 0, 5, 0.1, 1, 0.1, True)
scan2 = bp.adaptive_scan([hw.det], 'det', hw.motor, 0, 5, 0.1, 1, 0.2, True)
scan3 = bp.adaptive_scan([hw.det], 'det', hw.motor, 0, 5, 0.1, 1, 0.1, False)
scan4 = bp.adaptive_scan([hw.det], 'det', hw.motor, 5, 0, 0.1, 1, 0.1, False)
actual_traj = []
col = collector('motor', actual_traj)
counter1 = CallbackCounter()
counter2 = CallbackCounter()
RE(scan1, {'event': [col, counter1]})
RE(scan2, {'event': counter2})
assert counter1.value > counter2.value
assert actual_traj[0] == 0
actual_traj = []
col = collector('motor', actual_traj)
RE(scan3, {'event': col})
monotonic_increasing = np.all(np.diff(actual_traj) > 0)
assert monotonic_increasing
actual_traj = []
col = collector('motor', actual_traj)
RE(scan4, {'event': col})
monotonic_decreasing = np.all(np.diff(actual_traj) < 0)
assert monotonic_decreasing
with pytest.raises(ValueError): # min step < 0
scan5 = bp.adaptive_scan([hw.det], 'det', hw.motor,
5, 0, -0.1, 1.0, 0.1, False)
RE(scan5)
def test_count():
actual_intensity = []
col = collector('det', actual_intensity)
motor.set(0)
scan = Count([det])
RE(scan, subs={'event': col})
assert actual_intensity[0] == 1.
# multiple counts, via updating attribute
actual_intensity = []
col = collector('det', actual_intensity)
scan = Count([det], num=3, delay=0.05)
RE(scan, subs={'event': col})
assert scan.num == 3
assert actual_intensity == [1., 1., 1.]
# multiple counts, via passing arts to __call__
actual_intensity = []
col = collector('det', actual_intensity)
scan = Count([det], num=3, delay=0.05)
RE(scan(num=2), subs={'event': col})
assert actual_intensity == [1., 1.]
# attribute should still be 3
assert scan.num == 3
actual_intensity = []
col = collector('det', actual_intensity)
RE(scan, subs={'event': col})
assert actual_intensity == [1., 1., 1.]
def test_count():
actual_intensity = []
col = collector('det', actual_intensity)
motor.set(0)
scan = Count([det])
RE(scan, subs={'event': col})
assert_equal(actual_intensity[0], 1.)
# multiple counts
actual_intensity = []
col = collector('det', actual_intensity)
scan = Count([det], num=3, delay=0.05)
RE(scan, subs={'event': col})
assert_equal(scan.num, 3)
assert_equal(actual_intensity, [1., 1., 1.])
def test_count(RE, hw):
det = hw.det
motor = hw.motor
actual_intensity = []
col = collector('det', actual_intensity)
motor.set(0)
plan = bp.count([det])
RE(plan, {'event': col})
assert actual_intensity[0] == 1.
# multiple counts, via updating attribute
actual_intensity = []
col = collector('det', actual_intensity)
plan = bp.count([det], num=3, delay=0.05)
RE(plan, {'event': col})
assert actual_intensity == [1., 1., 1.]
def test_count():
actual_intensity = []
col = collector('det', actual_intensity)
motor.set(0)
scan = Count([det])
RE(scan, subs={'event': col})
assert_equal(actual_intensity[0], 1.)
# multiple counts
actual_intensity = []
col = collector('det', actual_intensity)
scan = Count([det], num=3, delay=0.05)
RE(scan, subs={'event': col})
assert_equal(scan.num, 3)
assert_equal(actual_intensity, [1., 1., 1.])
def test_count(RE, hw):
det = hw.det
motor = hw.motor
actual_intensity = []
col = collector('det', actual_intensity)
motor.set(0)
plan = bp.count([det])
RE(plan, {'event': col})
assert actual_intensity[0] == 1.
# multiple counts, via updating attribute
actual_intensity = []
col = collector('det', actual_intensity)
plan = bp.count([det], num=3, delay=0.05)
RE(plan, {'event': col})
assert actual_intensity == [1., 1., 1.]
def test_ami_scan(ami_det, RE):
logger.debug('test_ami_scan')
ami_det.min_duration = 1
ami_det.filter_string = '4<x<5'
mean_list = []
coll = collector(ami_det.mean.name, mean_list)
num = 5
RE(count([ami_det], num=num), {'event': coll})
assert len(mean_list) == num
def test_adaptive_ascan():
scan1 = AdaptiveAbsScan([det], 'det', motor, 0, 5, 0.1, 1, 0.1, True)
scan2 = AdaptiveAbsScan([det], 'det', motor, 0, 5, 0.1, 1, 0.2, True)
scan3 = AdaptiveAbsScan([det], 'det', motor, 0, 5, 0.1, 1, 0.1, False)
actual_traj = []
col = collector('motor', actual_traj)
counter1 = CallbackCounter()
counter2 = CallbackCounter()
RE(scan1, subs={'event': [col, counter1]})
RE(scan2, subs={'event': counter2})
assert_greater(counter1.value, counter2.value)
assert_equal(actual_traj[0], 0)
actual_traj = []
col = collector('motor', actual_traj)
RE(scan3, {'event': col})
monotonic_increasing = np.all(np.diff(actual_traj) > 0)
assert_true(monotonic_increasing)
def test_adaptive_ascan():
scan1 = AdaptiveAbsScan([det], 'det', motor, 0, 5, 0.1, 1, 0.1, True)
scan2 = AdaptiveAbsScan([det], 'det', motor, 0, 5, 0.1, 1, 0.2, True)
scan3 = AdaptiveAbsScan([det], 'det', motor, 0, 5, 0.1, 1, 0.1, False)
actual_traj = []
col = collector('motor', actual_traj)
counter1 = CallbackCounter()
counter2 = CallbackCounter()
RE(scan1, subs={'event': [col, counter1]})
RE(scan2, subs={'event': counter2})
assert_greater(counter1.value, counter2.value)
assert_equal(actual_traj[0], 0)
actual_traj = []
col = collector('motor', actual_traj)
RE(scan3, {'event': col})
monotonic_increasing = np.all(np.diff(actual_traj) > 0)
assert_true(monotonic_increasing)
def test_adaptive_dscan():
scan1 = AdaptiveDeltaScanPlan([det], 'det', motor, 0, 5, 0.1, 1, 0.1, True)
scan2 = AdaptiveDeltaScanPlan([det], 'det', motor, 0, 5, 0.1, 1, 0.2, True)
scan3 = AdaptiveDeltaScanPlan([det], 'det', motor, 0, 5, 0.1, 1, 0.1, False)
actual_traj = []
col = collector('motor', actual_traj)
counter1 = CallbackCounter()
counter2 = CallbackCounter()
motor.set(1)
RE(scan1, subs={'event': [col, counter1]})
RE(scan2, subs={'event': counter2})
assert counter1.value > counter2.value
assert actual_traj[0] == 1
actual_traj = []
col = collector('motor', actual_traj)
RE(scan3, {'event': col})
monotonic_increasing = np.all(np.diff(actual_traj) > 0)
assert monotonic_increasing
def test_adaptive_dscan():
scan1 = AdaptiveDeltaScanPlan([det], 'det', motor, 0, 5, 0.1, 1, 0.1, True)
scan2 = AdaptiveDeltaScanPlan([det], 'det', motor, 0, 5, 0.1, 1, 0.2, True)
scan3 = AdaptiveDeltaScanPlan([det], 'det', motor, 0, 5, 0.1, 1, 0.1,
False)
actual_traj = []
col = collector('motor', actual_traj)
counter1 = CallbackCounter()
counter2 = CallbackCounter()
motor.set(1)
RE(scan1, subs={'event': [col, counter1]})
RE(scan2, subs={'event': counter2})
assert counter1.value > counter2.value
assert actual_traj[0] == 1
actual_traj = []
col = collector('motor', actual_traj)
RE(scan3, {'event': col})
monotonic_increasing = np.all(np.diff(actual_traj) > 0)
assert monotonic_increasing
def traj_checker(RE, scan, expected_traj):
actual_traj = []
callback = collector('motor', actual_traj)
RE(scan, {'event': callback})
assert actual_traj == list(expected_traj)
def traj_checker(scan, expected_traj):
actual_traj = []
callback = collector('motor', actual_traj)
RE(scan, subs={'event': callback})
assert_equal(actual_traj, list(expected_traj))
def traj_checker(RE, scan, expected_traj):
actual_traj = []
callback = collector('motor', actual_traj)
RE(scan, {'event': callback})
assert actual_traj == list(expected_traj)
def test_xrun_with_xpdAcqPlans(self):
exp = 5
# test with ct
msg_list = []
def msg_rv(msg):
msg_list.append(msg)
self.xrun.msg_hook = msg_rv
self.xrun({}, ScanPlan(self.bt, ct, exp))
open_run = [
el.kwargs for el in msg_list if el.command == "open_run"
].pop()
self.assertEqual(open_run["sp_type"], "ct")
self.assertEqual(open_run["sp_requested_exposure"], exp)
# test with Tramp
Tstart, Tstop, Tstep = 300, 200, 10
msg_list = []
def msg_rv(msg):
msg_list.append(msg)
self.xrun.msg_hook = msg_rv
traj_list = [] # courtesy of bluesky test
temp_controller = xpd_configuration["temp_controller"]
callback = collector(temp_controller.readback.name, traj_list)
self.xrun(
{},
ScanPlan(self.bt, Tramp, exp, Tstart, Tstop, Tstep),
subs={"event": callback},
)
# verify trajectory
Num, diff = _nstep(Tstart, Tstop, Tstep)
expected_traj = np.linspace(Tstart, Tstop, Num)
assert np.all(traj_list == expected_traj)
# verify md
open_run = [
el.kwargs for el in msg_list if el.command == "open_run"
].pop()
self.assertEqual(open_run["sp_type"], "Tramp")
self.assertEqual(open_run["sp_requested_exposure"], exp)
self.assertEqual(open_run["sp_startingT"], Tstart)
self.assertEqual(open_run["sp_endingT"], Tstop)
self.assertEqual(open_run["sp_requested_Tstep"], Tstep)
# test with tseries
delay, num = 0.1, 5
msg_list = []
def msg_rv(msg):
msg_list.append(msg)
self.xrun.msg_hook = msg_rv
self.xrun({}, ScanPlan(self.bt, tseries, exp, delay, num))
open_run = [
el.kwargs for el in msg_list if el.command == "open_run"
].pop()
self.assertEqual(open_run["sp_type"], "tseries")
self.assertEqual(open_run["sp_requested_exposure"], exp)
self.assertEqual(open_run["sp_requested_delay"], delay)
self.assertEqual(open_run["sp_requested_num"], num)
# test with Tlist
T_list = [300, 256, 128]
msg_list = []
def msg_rv(msg):
msg_list.append(msg)
traj_list = [] # courtesy of bluesky test
temp_controller = xpd_configuration["temp_controller"]
callback = collector(temp_controller.readback.name, traj_list)
self.xrun.msg_hook = msg_rv
self.xrun(
{}, ScanPlan(self.bt, Tlist, exp, T_list), subs={"event": callback}
)
# verify trajectory
assert T_list == traj_list
# verify md
open_run = [
el.kwargs for el in msg_list if el.command == "open_run"
].pop()
self.assertEqual(open_run["sp_type"], "Tlist")
self.assertEqual(open_run["sp_requested_exposure"], exp)
self.assertEqual(open_run["sp_T_list"], T_list)
def traj_checker(scan, expected_traj):
actual_traj = []
callback = collector('motor', actual_traj)
RE(scan, subs={'event': callback})
assert_equal(actual_traj, list(expected_traj))
