def test_to_dict(self):
g = StaticPointGenerator(7)
expected_dict = {
"typeid": "scanpointgenerator:generator/StaticPointGenerator:1.0",
"size": 7,
}
self.assertEqual(expected_dict, g.to_dict())
def test_to_dict_with_axis(self):
g = StaticPointGenerator(7, 'repeats')
expected_dict = {
"typeid": "scanpointgenerator:generator/StaticPointGenerator:1.0",
"size": 7,
"axes": ['repeats'],
}
self.assertEqual(expected_dict, g.to_dict())
def test_breakpoints_repeat_rocking_tomo(self):
line1 = LineGenerator("x", "mm", -10, -10, 5)
line2 = LineGenerator("x", "mm", 0, 180, 10)
line3 = LineGenerator("x", "mm", 190, 190, 2)
line4 = LineGenerator("x", "mm", 180, 0, 10)
concat = ConcatGenerator([line1, line2, line3, line4])
staticGen = StaticPointGenerator(2)
duration = 0.01
breakpoints = [2, 3, 10, 2, 10, 2, 3, 10, 2, 10]
self.b.configure(
generator=CompoundGenerator([staticGen, concat], [], [], duration),
axesToMove=["x"],
breakpoints=breakpoints,
)
assert self.c.configure_params.generator.size == 54
self.checkState(self.ss.ARMED)
self.checkSteps(2, 0, 54)
self.b.run()
self.checkSteps(5, 2, 54)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(15, 5, 54)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(17, 15, 54)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(27, 17, 54)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(29, 27, 54)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(32, 29, 54)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(42, 32, 54)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(44, 42, 54)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(54, 44, 54)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkState(self.ss.FINISHED)
def test_invalid_parameters(self):
self.part_under_test = BeamSelectorPart(
name="beamSelector2",
mri="PMAC",
selectorAxis="x",
tomoAngle="invalid",
diffAngle=0.5,
moveTime=0.5,
)
self.context.set_notify_dispatch_request(
self.part_under_test.notify_dispatch_request)
self.set_motor_attributes()
nCycles = 1
generator = CompoundGenerator([StaticPointGenerator(nCycles)], [], [],
duration=0.5)
generator.prepare()
self.part_under_test.on_configure(self.context, 0, nCycles, {},
generator, [])
assert self.part_under_test.tomoAngle == 0.0
assert self.part_under_test.diffAngle == 0.0
assert self.part_under_test.move_time == 0.5
def test_alternating_line_with_staticpointgen(self):
x = LineGenerator("x", "mm", 0, 1, 3, True)
m = StaticPointGenerator(5)
g = CompoundGenerator([m, x], [], [])
g.prepare()
expected_positions = [
{'x':0.0}, {'x':0.5}, {'x':1.0},
{'x':1.0}, {'x':0.5}, {'x':0.0},
{'x':0.0}, {'x':0.5}, {'x':1.0},
{'x':1.0}, {'x':0.5}, {'x':0.0},
{'x':0.0}, {'x':0.5}, {'x':1.0}]
positions = [point.positions for point in g.iterator()]
self.assertEqual(expected_positions, positions)
self.assertEqual(15, g.size)
self.assertEqual((5, 3), g.shape)
self.assertEqual(["x"], g.axes)
self.assertEqual({"x":"mm"}, g.units)
expected_dimensions = [{"axes":[], "size":5, "alternate":False, "upper":[], "lower":[]},
{"axes":["x"], "size":3, "alternate":True, "upper":[1.0], "lower":[0.0]}]
dimensions = [{"axes":d.axes, "size":d.size, "alternate":d.alternate, "upper":d.upper, "lower":d.lower}
for d in g.dimensions]
self.assertEqual(expected_dimensions, dimensions)
def test_staticpointgen_in_alternating(self):
x = LineGenerator("x", "mm", 0, 1, 3, True)
y = LineGenerator("y", "cm", 2, 3, 4, False)
m = StaticPointGenerator(5)
r = CircularROI((0.5, 2.5), 0.4)
e = ROIExcluder([r], ["x", "y"])
g = CompoundGenerator([y, m, x], [e], [])
g.prepare()
expected_positions = []
x_positions = [0.0, 0.5, 1.0]
direction = 1
for yp in [2.0, 2 + 1. / 3, 2 + 2. / 3, 3.0]:
for mp in range_(5):
for xp in x_positions[::direction]:
if (xp - 0.5)**2 + (yp - 2.5)**2 <= 0.4**2:
expected_positions.append({"y": yp, "x": xp})
direction *= -1
positions = [point.positions for point in g.iterator()]
self.assertEqual(expected_positions, positions)
self.assertEqual(len(expected_positions), g.size)
self.assertEqual((len(expected_positions), ), g.shape)
self.assertEqual(["y", "x"], g.axes)
self.assertEqual({"y": "cm", "x": "mm"}, g.units)
self.assertEqual(1, len(g.dimensions))
def test_validate_raises_ValueError_for_detector_with_zero_exposure(self):
nCycles = 1
generator = CompoundGenerator([StaticPointGenerator(nCycles)], [], [],
duration=0.0)
imaging_exposure_time = 0.1
diffraction_exposure_time = 0.3
detectors_with_zero_exposure_for_imaging = self._get_detector_table(
0.0, diffraction_exposure_time)
detectors_with_zero_exposure_for_diffraction = self._get_detector_table(
imaging_exposure_time, 0.0)
self.assertRaises(
ValueError,
self.o.on_validate,
generator,
{},
detectors_with_zero_exposure_for_imaging,
)
self.assertRaises(
ValueError,
self.o.on_validate,
generator,
{},
detectors_with_zero_exposure_for_diffraction,
)
def test_configure_and_run_prepare_no_axes(self, buffer_class):
buffer_instance = buffer_class.return_value
buffer_instance.run.return_value = []
generator = CompoundGenerator([StaticPointGenerator(size=1)], [], [],
1.0)
generator.prepare()
completed_steps = 0
steps_to_do = generator.size
self.o.on_configure(self.context, completed_steps, steps_to_do, {},
generator, "")
assert self.o.generator is generator
assert self.o.loaded_up_to == completed_steps
assert self.o.scan_up_to == completed_steps + steps_to_do
buffer_instance.configure.assert_called_once()
self.gate_part.enable_set.assert_not_called()
buffer_instance.run.assert_not_called()
# The SRGate should only be enabled by on_run() here.
self.o.on_pre_run(self.context)
self.o.on_run(self.context)
self.gate_part.enable_set.assert_called_once()
buffer_instance.run.assert_called_once()
def test_validate_raises_ValueError_for_detector_with_invalid_frames_per_step(
self):
nCycles = 1
generator = CompoundGenerator([StaticPointGenerator(nCycles)], [], [],
duration=0.0)
imaging_exposure_time = 0.1
diffraction_exposure_time = 0.3
bad_imaging_frames_per_step = DetectorTable(
[True, True, True],
["imagingDetector", "diffDetector", "PandA"],
["ML-IMAGING-01", "ML-DIFF-01", "ML-PANDA-01"],
[imaging_exposure_time, diffraction_exposure_time, 0.0],
[3, 1, 2],
)
bad_diffraction_frames_per_step = DetectorTable(
[True, True, True],
["imagingDetector", "diffDetector", "PandA"],
["ML-IMAGING-01", "ML-DIFF-01", "ML-PANDA-01"],
[imaging_exposure_time, diffraction_exposure_time, 0.0],
[1, 10, 2],
)
self.assertRaises(ValueError, self.o.on_validate, generator, {},
bad_imaging_frames_per_step)
self.assertRaises(
ValueError,
self.o.on_validate,
generator,
{},
bad_diffraction_frames_per_step,
)
def test_report_configuration(self):
p = DSGather("DS")
self.o.add_part(p)
b = self.process.block_view("P")
pos_table = DatasetPositionsTable(
name=["INENC1.VAL", "INENC2.VAL", "INENC3.VAL", "INENC4.VAL"],
value=[0] * 4,
offset=[0] * 4,
scale=[0] * 4,
units=[""] * 4,
capture=["Diff", "No", "Min Max Mean", "Diff"],
datasetName=["", "x1", "x2", "x3"],
datasetType=["monitor", "monitor", "position", "monitor"],
)
b.positions.put_value(pos_table)
b.configure(generator=CompoundGenerator([StaticPointGenerator(1)], [], []))
dataset_infos = p.part_info["busses"]
assert len(dataset_infos) == 4
assert dataset_infos[0].name == "x2.min"
assert dataset_infos[0].type == DatasetType.POSITION_MIN
assert dataset_infos[0].attr == "INENC3.VAL.Min"
assert dataset_infos[1].name == "x2.max"
assert dataset_infos[1].type == DatasetType.POSITION_MAX
assert dataset_infos[1].attr == "INENC3.VAL.Max"
assert dataset_infos[2].name == "x2.value"
assert dataset_infos[2].type == DatasetType.POSITION_VALUE
assert dataset_infos[2].attr == "INENC3.VAL.Mean"
assert dataset_infos[3].name == "x3.data"
assert dataset_infos[3].type == DatasetType.MONITOR
assert dataset_infos[3].attr == "INENC4.VAL.Diff"
def test_acquire_scan(self):
generator = CompoundGenerator([StaticPointGenerator(size=5)], [], [],
1.0)
generator.prepare()
completed_steps = 0
steps_to_do = 5
self.o.on_configure(self.context, completed_steps, steps_to_do, {},
generator, [])
assert self.o.generator is generator
assert self.o.loaded_up_to == completed_steps
assert self.o.scan_up_to == completed_steps + steps_to_do
# Triggers
IT = Trigger.IMMEDIATE
# Half a frame
hf = 62500000
self.seq_parts[1].table_set.assert_called_once()
table = self.seq_parts[1].table_set.call_args[0][0]
assert table.repeats == [5, 1]
assert table.trigger == [IT, IT]
assert table.position == [0, 0]
assert table.time1 == [hf, 125000000]
assert table.outa1 == [1, 0] # Live
assert table.outb1 == [0, 1] # Dead
assert table.outc1 == table.outd1 == table.oute1 == table.outf1 == [
0, 0
]
assert table.time2 == [hf, 125000000]
assert (table.outa2 == table.outb2 == table.outc2 == table.outd2 ==
table.oute2 == table.outf2 == [0, 0])
# Check we didn't press the gate part
self.gate_part.enable_set.assert_not_called()
def test_validate(self):
generator = CompoundGenerator([StaticPointGenerator(2)], [], [],
0.0102)
axesToMove = ["x"]
# servoFrequency() return value
self.child.handled_requests.post.return_value = 4919.300698316487
ret = self.o.on_validate(self.context, generator, axesToMove, {})
expected = 0.010166
assert ret.value.duration == expected
def test_30_thousand_time_constraint_with_inner(self):
a = StaticPointGenerator(1)
z = LineGenerator("z", "mm", 0, 1, 300, True)
w = LineGenerator("w", "mm", 0, 1, 300, True)
g = CompoundGenerator([z, w, a], [], [])
g.prepare() # 9e4 points
start_time = time.time()
C = g.get_points(0, 30000)
end_time = time.time()
self.assertLess(end_time - start_time, TIMELIMIT * 3)
def test_configure_no_axes(self):
self.set_motor_attributes()
generator = CompoundGenerator([StaticPointGenerator(6)], [], [],
duration=0.1)
generator.prepare()
self.o.on_configure(self.context, 0, 6, {}, generator, [])
assert self.child.handled_requests.mock_calls == [
call.post("writeProfile",
csPort="CS1",
timeArray=[0.002],
userPrograms=[8]),
call.post("executeProfile"),
# pytest.approx to allow sensible compare with numpy arrays
call.post(
"writeProfile",
csPort="CS1",
timeArray=pytest.approx([
2000,
50000,
50000,
50000,
50000,
50000,
50000,
50000,
50000,
50000,
50000,
50000,
50000,
2000,
]),
userPrograms=pytest.approx(
[1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 1, 4, 2, 8]),
velocityMode=pytest.approx(
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 3]),
),
]
assert self.o.completed_steps_lookup == [
0,
0,
1,
1,
2,
2,
3,
3,
4,
4,
5,
5,
6,
6,
]
def _configure_args(
self,
generator: AGenerator,
file_dir: AFileDir,
detectors: ADetectorTable = None,
axes_to_move: AAxesToMove = None,
breakpoints: ABreakpoints = None,
file_template: AFileTemplate = "%s.h5",
) -> Tuple[bool, int, Dict[str, Any]]:
# Check the detector table to see what we need to do
assert detectors, "No detectors"
for enable, name, mri, exposure, frames in detectors.rows():
if name == self.name and enable:
# Found a row saying to take part
assert mri == self.mri, "%s has mri %s, passed %s" % (
name,
self.mri,
mri,
)
break
else:
# Didn't find a row or no frames, don't take part
return False, 0, {}
# If we had more than one frame per point, multiply out
if frames > 1:
axis_name = name + "_frames_per_step"
axes_to_move = list(cast(Iterable, axes_to_move)) + [axis_name]
# We need to multiply up the last dimension by frames
serialized = dict(generator.to_dict())
serialized["generators"] = list(serialized["generators"]) + [
StaticPointGenerator(frames, axes=[axis_name])
]
# Squash it down with the axes of the fastest generator
squash_axes = list(generator.generators[-1].axes) + [axis_name]
serialized["excluders"] = list(serialized["excluders"]) + [
SquashingExcluder(axes=squash_axes)
]
# Divide it down
serialized["duration"] = float(serialized["duration"]) / frames
generator = CompoundGenerator.from_dict(serialized)
kwargs = dict(
generator=generator,
axesToMove=axes_to_move,
breakpoints=breakpoints,
fileDir=file_dir,
# formatName is the unique part of the HDF filename, so use the part
# name for this
formatName=self.name,
fileTemplate=file_template,
)
if exposure > 0.0:
kwargs["exposure"] = exposure
return enable, frames, kwargs
def test_on_validate_tweaks_zero_duration(self):
points = StaticPointGenerator(10)
generator = CompoundGenerator([points], [], [], 0.0)
generator.prepare()
# Disable the detector
detectors = DetectorTable.from_rows([[False, "det", "DET", 0.0, 5]])
# Expected duration is 2 clock cycles
expected_duration = 2 * 8.0e-9
b = self.scan.block_view()
params = b.validate(generator, self.tmpdir, detectors=detectors)
self.assertEqual(expected_duration, params["generator"]["duration"])
def test_breakpoints_repeat_with_static(self):
line1 = LineGenerator("x", "mm", -10, -10, 5)
line2 = LineGenerator("x", "mm", 0, 180, 10)
line3 = LineGenerator("x", "mm", 190, 190, 2)
duration = 0.01
concat = ConcatGenerator([line1, line2, line3])
staticGen = StaticPointGenerator(2)
breakpoints = [2, 3, 10, 2, 2, 3, 10, 2]
self.b.configure(
generator=CompoundGenerator([staticGen, concat], [], [], duration),
axesToMove=["x"],
breakpoints=breakpoints,
)
assert self.c.configure_params.generator.size == 34
self.checkState(self.ss.ARMED)
self.checkSteps(2, 0, 34)
self.b.run()
self.checkSteps(5, 2, 34)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(15, 5, 34)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(17, 15, 34)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(19, 17, 34)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(22, 19, 34)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(32, 22, 34)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkSteps(34, 32, 34)
self.checkState(self.ss.ARMED)
self.b.run()
self.checkState(self.ss.FINISHED)
def test_array_positions(self):
g = StaticPointGenerator(5)
g.prepare_positions()
g.prepare_bounds()
self.assertEqual({}, g.positions)
self.assertEqual({}, g.bounds)
def test_array_positions_with_axis(self):
g = StaticPointGenerator(5, 'repeats')
positions = [1, 2, 3, 4, 5]
bounds = [1, 2, 3, 4, 5, 6]
g.prepare_positions()
g.prepare_bounds()
self.assertEqual(positions, g.positions['repeats'].tolist())
self.assertEqual(bounds, g.bounds['repeats'].tolist())
def test_configure_cycle(self):
self.set_motor_attributes()
nCycles = 1
generator = CompoundGenerator([StaticPointGenerator(nCycles)], [], [],
duration=4.0)
generator.prepare()
self.o.on_configure(self.context, 0, nCycles, {}, generator, [])
assert generator.duration == 1.5
assert self.child.handled_requests.mock_calls == [
call.post("writeProfile",
csPort="CS1",
timeArray=[0.002],
userPrograms=[8]),
call.post("executeProfile"),
call.post("moveCS1",
a=-0.125,
moveTime=pytest.approx(0.790, abs=1e-3)),
# pytest.approx to allow sensible compare with numpy arrays
call.post(
"writeProfile",
a=pytest.approx([
0.0, 0.25, 0.5, 0.625, 0.625, 0.5, 0.25, 0.0, -0.125,
-0.125, 0.0
]),
csPort="CS1",
timeArray=pytest.approx([
250000,
250000,
250000,
250000,
1000000,
250000,
250000,
250000,
250000,
1000000,
250000,
]),
userPrograms=pytest.approx([1, 4, 2, 8, 8, 1, 4, 2, 8, 8, 1]),
velocityMode=pytest.approx([1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 3]),
),
]
assert self.o.completed_steps_lookup == [
0, 0, 1, 1, 1, 1, 1, 2, 3, 3, 3
]
def test_configure_multiple_no_exposure(self):
xs = LineGenerator("x", "mm", 0.0, 0.3, 4)
ys = LineGenerator("y", "mm", 0.0, 0.1, 2)
generator = CompoundGenerator([ys, xs], [], [], 1.0)
generator.prepare()
detectors = DetectorTable.from_rows([[True, "det", "DET", 0.0, 5]])
self.o.on_configure(self.context, generator, detectors)
assert self.o.generator_duration == 1.0
assert self.o.frames_per_step == 5
# Detector would normally be configured by DetectorChildPart
detector = self.process.block_view("DET")
spg = StaticPointGenerator(5, axes=["det_frames_per_step"])
ex = SquashingExcluder(axes=["det_frames_per_step", "x"])
generatormultiplied = CompoundGenerator([ys, xs, spg], [ex], [], 0.2)
detector.configure(generatormultiplied, self.tmpdir)
self.o.on_post_configure()
self.check_pulse_mocks(0.19899, 0.2, 0.000505, 5)
def test_configure_raises_ValueError_with_invalid_frames_per_step(self):
self.set_motor_attributes()
nCycles = 1
generator = CompoundGenerator([StaticPointGenerator(nCycles)], [], [],
duration=0.0)
generator.prepare()
imaging_exposure_time = 0.01
diffraction_exposure_time = 1.0
detectors_with_bad_imaging_frames_per_step = DetectorTable(
[True, True, True],
["imagingDetector", "diffDetector", "PandA"],
["ML-IMAGING-01", "ML-DIFF-01", "ML-PANDA-01"],
[imaging_exposure_time, diffraction_exposure_time, 0.0],
[3, 1, 2],
)
detectors_with_bad_diffraction_frames_per_step = DetectorTable(
[True, True, True],
["imagingDetector", "diffDetector", "PandA"],
["ML-IMAGING-01", "ML-DIFF-01", "ML-PANDA-01"],
[imaging_exposure_time, diffraction_exposure_time, 0.0],
[1, 10, 2],
)
self.assertRaises(
ValueError,
self.o.on_configure,
self.context,
0,
nCycles,
{},
generator,
detectors_with_bad_imaging_frames_per_step,
[],
)
self.assertRaises(
ValueError,
self.o.on_configure,
self.context,
0,
nCycles,
{},
generator,
detectors_with_bad_diffraction_frames_per_step,
[],
)
def test_configure_raises_ValueError_when_exposure_is_zero(self):
nCycles = 1
generator = CompoundGenerator([StaticPointGenerator(nCycles)], [], [],
duration=0.0)
imaging_exposure_time = 0.1
diffraction_exposure_time = 0.3
detectors_with_imaging_zero_exposure = DetectorTable(
[False, True, True],
["imagingDetector", "diffDetector", "PandA"],
["ML-IMAGING-01", "ML-DIFF-01", "ML-PANDA-01"],
[imaging_exposure_time, 0.0, 0.0],
[1, 1, 2],
)
detectors_with_diffraction_zero_exposure = DetectorTable(
[True, False, True],
["imagingDetector", "diffDetector", "PandA"],
["ML-IMAGING-01", "ML-DIFF-01", "ML-PANDA-01"],
[0.0, diffraction_exposure_time, 0.0],
[1, 1, 2],
)
self.assertRaises(
ValueError,
self.o.on_configure,
self.context,
0,
nCycles,
{},
generator,
detectors_with_imaging_zero_exposure,
[],
)
self.assertRaises(
ValueError,
self.o.on_configure,
self.context,
0,
nCycles,
{},
generator,
detectors_with_diffraction_zero_exposure,
[],
)
def test_configure_raises_ValueError_with_missing_detector(self):
self.set_motor_attributes()
nCycles = 1
generator = CompoundGenerator([StaticPointGenerator(nCycles)], [], [],
duration=0.0)
generator.prepare()
exposure_time = 0.01
detectors_without_diffraction = DetectorTable(
[True, True],
["imagingDetector", "PandA"],
["ML-IMAGING-01", "ML-PANDA-01"],
[exposure_time, 0.0],
[1, 2],
)
detectors_without_imaging = DetectorTable(
[True, True],
["diffDetector", "PandA"],
["ML-DIFF-01", "ML-PANDA-01"],
[exposure_time, 0.0],
[1, 2],
)
self.assertRaises(
ValueError,
self.o.on_configure,
self.context,
0,
nCycles,
{},
generator,
detectors_without_diffraction,
[],
)
self.assertRaises(
ValueError,
self.o.on_configure,
self.context,
0,
nCycles,
{},
generator,
detectors_without_imaging,
[],
)
def test_staticpointgen(self):
m = StaticPointGenerator(3)
g = CompoundGenerator([m], [], [])
g.prepare()
expected_positions = [{}] * 3
positions = [point.positions for point in g.iterator()]
self.assertEqual(expected_positions, positions)
self.assertEqual([], g.axes)
self.assertEqual({}, g.units)
self.assertEqual(3, g.size)
self.assertEqual((3, ), g.shape)
self.assertEqual(1, len(g.dimensions))
self.assertEqual([], g.dimensions[0].upper)
self.assertEqual([], g.dimensions[0].lower)
self.assertEqual([], g.dimensions[0].axes)
self.assertEqual(3, g.dimensions[0].size)
def test_validate_returns_tweaked_generator_duration(self):
nCycles = 1
generator = CompoundGenerator([StaticPointGenerator(nCycles)], [], [],
duration=0.0)
imaging_exposure_time = 0.1
diffraction_exposure_time = 0.3
detectors = self._get_detector_table(imaging_exposure_time,
diffraction_exposure_time)
# First pass we should tweak
infos = self.o.on_validate(generator, {}, detectors)
self.assertEqual(infos.parameter, "generator")
assert infos.value.duration == pytest.approx(self.move_time * 2 +
imaging_exposure_time +
diffraction_exposure_time)
# Now re-run with our tweaked generator
infos = self.o.on_validate(infos.value, {}, detectors)
assert infos is None, "We shouldn't need to tweak again"
def test_acquire_scan(self):
generator = CompoundGenerator([StaticPointGenerator(size=5)], [], [],
1.0)
generator.prepare()
seq_rows = self.get_sequencer_rows(generator, [])
# Triggers
IT = Trigger.IMMEDIATE
# Half a frame
hf = 62500000
expected = SequencerRows()
expected.add_seq_entry(count=5,
trigger=IT,
position=0,
half_duration=hf,
live=1,
dead=0)
expected.add_seq_entry(1, IT, 0, MIN_PULSE, 0, 1)
expected.add_seq_entry(0, IT, 0, MIN_PULSE, 0, 0)
assert seq_rows.as_tuples() == expected.as_tuples()
def test_intermediate_staticpointgen(self):
x = LineGenerator("x", "mm", 0, 1, 3, False)
y = LineGenerator("y", "cm", 2, 3, 4, False)
m = StaticPointGenerator(5)
g = CompoundGenerator([y, m, x], [], [])
g.prepare()
expected_positions = []
for yp in [2.0, 2 + 1. / 3, 2 + 2. / 3, 3.0]:
for mp in range_(5):
for xp in [0.0, 0.5, 1.0]:
expected_positions.append({"y": yp, "x": xp})
positions = [point.positions for point in g.iterator()]
self.assertEqual(expected_positions, positions)
self.assertEqual(60, g.size)
self.assertEqual((4, 5, 3), g.shape)
self.assertEqual(["y", "x"], g.axes)
self.assertEqual({"y": "cm", "x": "mm"}, g.units)
self.assertEqual(3, len(g.dimensions))
def test_validate_raises_ValueError_when_detector_not_enabled(self):
nCycles = 1
generator = CompoundGenerator([StaticPointGenerator(nCycles)], [], [],
duration=0.0)
imaging_exposure_time = 0.1
diffraction_exposure_time = 0.3
detectors_with_imaging_disabled = DetectorTable(
[False, True, True],
["imagingDetector", "diffDetector", "PandA"],
["ML-IMAGING-01", "ML-DIFF-01", "ML-PANDA-01"],
[imaging_exposure_time, diffraction_exposure_time, 0.0],
[1, 1, 2],
)
detectors_with_diffraction_disabled = DetectorTable(
[True, False, True],
["imagingDetector", "diffDetector", "PandA"],
["ML-IMAGING-01", "ML-DIFF-01", "ML-PANDA-01"],
[imaging_exposure_time, diffraction_exposure_time, 0.0],
[1, 1, 2],
)
self.assertRaises(
ValueError,
self.o.on_validate,
generator,
{},
detectors_with_imaging_disabled,
)
self.assertRaises(
ValueError,
self.o.on_validate,
generator,
{},
detectors_with_diffraction_disabled,
)
def test_validate_raises_ValueError_for_missing_detector(self):
nCycles = 1
generator = CompoundGenerator([StaticPointGenerator(nCycles)], [], [],
duration=0.0)
imaging_exposure_time = 0.1
diffraction_exposure_time = 0.3
table_without_imaging_detector = DetectorTable(
[True, True],
["diffDetector", "PandA"],
["ML-DIFF-01", "ML-PANDA-01"],
[diffraction_exposure_time, 0.0],
[1, 2],
)
table_without_diffraction_detector = DetectorTable(
[True, True],
["imagingDetector", "PandA"],
["ML-IMAGING-01", "ML-PANDA-01"],
[imaging_exposure_time, 0.0],
[1, 2],
)
self.assertRaises(
ValueError,
self.o.on_validate,
generator,
{},
table_without_imaging_detector,
)
self.assertRaises(
ValueError,
self.o.on_validate,
generator,
{},
table_without_diffraction_detector,
)
