def test_outer_product_dscan_snaked():
scan = OuterProductDeltaScan([det], motor1, 1, 3, 3, motor2, 10, 20, 2,
True)
# Note: motor1 is the first motor specified, and so it is the "slow"
# axis, matching the numpy convention.
motor.set(0)
motor1.set(5)
motor2.set(8)
expected_data = [{
'motor2': 18.0,
'det': 1.0,
'motor1': 6.0
}, {
'motor2': 28.0,
'det': 1.0,
'motor1': 6.0
}, {
'motor2': 28.0,
'det': 1.0,
'motor1': 7.0
}, {
'motor2': 18.0,
'det': 1.0,
'motor1': 7.0
}, {
'motor2': 18.0,
'det': 1.0,
'motor1': 8.0
}, {
'motor2': 28.0,
'det': 1.0,
'motor1': 8.0
}]
yield multi_traj_checker, scan, expected_data
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_outer_product_ascan_snaked():
motor.set(0)
scan = OuterProductAbsScanPlan([det], motor1, 1, 3, 3, motor2, 10, 20, 2,
True)
# Note: motor1 is the first motor specified, and so it is the "slow"
# axis, matching the numpy convention.
expected_data = [{
'motor2': 10.0,
'det': 1.0,
'motor1': 1.0
}, {
'motor2': 20.0,
'det': 1.0,
'motor1': 1.0
}, {
'motor2': 20.0,
'det': 1.0,
'motor1': 2.0
}, {
'motor2': 10.0,
'det': 1.0,
'motor1': 2.0
}, {
'motor2': 10.0,
'det': 1.0,
'motor1': 3.0
}, {
'motor2': 20.0,
'det': 1.0,
'motor1': 3.0
}]
for d in expected_data:
d.update({'motor1_setpoint': d['motor1']})
d.update({'motor2_setpoint': d['motor2']})
multi_traj_checker(scan, expected_data)
def test_outer_product_ascan_snaked():
motor.set(0)
scan = OuterProductAbsScan([det], motor1, 1, 3, 3, motor2, 10, 20, 2, True)
# Note: motor1 is the first motor specified, and so it is the "slow"
# axis, matching the numpy convention.
expected_data = [{
'motor2': 10.0,
'det': 1.0,
'motor1': 1.0
}, {
'motor2': 20.0,
'det': 1.0,
'motor1': 1.0
}, {
'motor2': 20.0,
'det': 1.0,
'motor1': 2.0
}, {
'motor2': 10.0,
'det': 1.0,
'motor1': 2.0
}, {
'motor2': 10.0,
'det': 1.0,
'motor1': 3.0
}, {
'motor2': 20.0,
'det': 1.0,
'motor1': 3.0
}]
yield multi_traj_checker, scan, expected_data
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_reset_positions_no_position_attr(fresh_RE):
motor = DummyMover('motor')
motor.set(5)
msgs = []
def accumulator(msg):
msgs.append(msg)
fresh_RE.msg_hook = accumulator
def plan():
yield from (m for m in [Msg('set', motor, 8)])
fresh_RE(reset_positions_wrapper(plan()))
expected = [
Msg('read', motor),
Msg('set', motor, 8),
Msg('set', motor, 5),
Msg('wait')
]
for msg in msgs:
msg.kwargs.pop('group', None)
assert msgs == expected
def test_inner_product_ascan():
motor.set(0)
scan = InnerProductAbsScan([det], 3, motor1, 1, 3, motor2, 10, 30)
# Note: motor1 is the first motor specified, and so it is the "slow"
# axis, matching the numpy convention.
expected_data = [
{'motor2': 10.0, 'det': 1.0, 'motor1': 1.0},
{'motor2': 20.0, 'det': 1.0, 'motor1': 2.0},
{'motor2': 30.0, 'det': 1.0, 'motor1': 3.0}]
yield multi_traj_checker, scan, expected_data
def test_inner_product_dscan():
motor.set(0)
motor1.set(5)
motor2.set(8)
scan = InnerProductDeltaScan([det], 3, motor1, 1, 3, motor2, 10, 30)
# Note: motor1 is the first motor specified, and so it is the "slow"
# axis, matching the numpy convention.
expected_data = [
{'motor2': 18.0, 'det': 1.0, 'motor1': 6.0},
{'motor2': 28.0, 'det': 1.0, 'motor1': 7.0},
{'motor2': 38.0, 'det': 1.0, 'motor1': 8.0}]
yield multi_traj_checker, scan, expected_data
def test_outer_product_ascan_snaked():
motor.set(0)
scan = OuterProductAbsScanPlan([det], motor1, 1, 3, 3, motor2, 10, 20, 2, True)
# Note: motor1 is the first motor specified, and so it is the "slow"
# axis, matching the numpy convention.
expected_data = [
{'motor2': 10.0, 'det': 1.0, 'motor1': 1.0},
{'motor2': 20.0, 'det': 1.0, 'motor1': 1.0},
{'motor2': 20.0, 'det': 1.0, 'motor1': 2.0},
{'motor2': 10.0, 'det': 1.0, 'motor1': 2.0},
{'motor2': 10.0, 'det': 1.0, 'motor1': 3.0},
{'motor2': 20.0, 'det': 1.0, 'motor1': 3.0}]
multi_traj_checker(scan, expected_data)
def test_inner_product_ascan():
motor.set(0)
scan = InnerProductAbsScanPlan([det], 3, motor1, 1, 3, motor2, 10, 30)
# Note: motor1 is the first motor specified, and so it is the "slow"
# axis, matching the numpy convention.
expected_data = [
{'motor2': 10.0, 'det': 1.0, 'motor1': 1.0},
{'motor2': 20.0, 'det': 1.0, 'motor1': 2.0},
{'motor2': 30.0, 'det': 1.0, 'motor1': 3.0}]
for d in expected_data:
d.update({'motor1_setpoint': d['motor1']})
d.update({'motor2_setpoint': d['motor2']})
multi_traj_checker(scan, expected_data)
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():
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_outer_product_dscan_snaked():
scan = OuterProductDeltaScanPlan([det], motor1, 1, 3, 3, motor2, 10, 20, 2,
True)
# Note: motor1 is the first motor specified, and so it is the "slow"
# axis, matching the numpy convention.
motor.set(0)
motor1.set(5)
motor2.set(8)
expected_data = [
{'motor2': 18.0, 'det': 1.0, 'motor1': 6.0},
{'motor2': 28.0, 'det': 1.0, 'motor1': 6.0},
{'motor2': 28.0, 'det': 1.0, 'motor1': 7.0},
{'motor2': 18.0, 'det': 1.0, 'motor1': 7.0},
{'motor2': 18.0, 'det': 1.0, 'motor1': 8.0},
{'motor2': 28.0, 'det': 1.0, 'motor1': 8.0}]
multi_traj_checker(scan, expected_data)
def test_outer_product_dscan():
scan = OuterProductDeltaScanPlan([det], motor1, 1, 3, 3, motor2, 10, 20, 2,
False)
# Note: motor1 is the first motor specified, and so it is the "slow"
# axis, matching the numpy convention.
motor.set(0)
motor1.set(5)
motor2.set(8)
expected_data = [
{'motor2': 18.0, 'det': 1.0, 'motor1': 6.0},
{'motor2': 28.0, 'det': 1.0, 'motor1': 6.0},
{'motor2': 18.0, 'det': 1.0, 'motor1': 7.0},
{'motor2': 28.0, 'det': 1.0, 'motor1': 7.0},
{'motor2': 18.0, 'det': 1.0, 'motor1': 8.0},
{'motor2': 28.0, 'det': 1.0, 'motor1': 8.0}]
for d in expected_data:
d.update({'motor1_setpoint': d['motor1']})
d.update({'motor2_setpoint': d['motor2']})
multi_traj_checker(scan, expected_data)
def test_adaptive_dscan():
scan1 = AdaptiveDeltaScan([det], 'det', motor, 0, 5, 0.1, 1, 0.1, True)
scan2 = AdaptiveDeltaScan([det], 'det', motor, 0, 5, 0.1, 1, 0.2, True)
scan3 = AdaptiveDeltaScan([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_greater(counter1.value, counter2.value)
assert_equal(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_true(monotonic_increasing)
def test_adaptive_dscan():
scan1 = AdaptiveDeltaScan([det], 'det', motor, 0, 5, 0.1, 1, 0.1, True)
scan2 = AdaptiveDeltaScan([det], 'det', motor, 0, 5, 0.1, 1, 0.2, True)
scan3 = AdaptiveDeltaScan([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_greater(counter1.value, counter2.value)
assert_equal(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_true(monotonic_increasing)
def test_relative_set_no_position_attr(fresh_RE):
motor = DummyMover("motor")
motor.set(5)
msgs = []
def accumulator(msg):
msgs.append(msg)
fresh_RE.msg_hook = accumulator
def plan():
yield from (m for m in [Msg("set", motor, 8)])
fresh_RE(relative_set_wrapper(plan()))
expected = [Msg("read", motor), Msg("set", motor, 13)]
for msg in msgs:
msg.kwargs.pop("group", None)
assert msgs == expected
def test_relative_set(fresh_RE):
motor = Mover("a", {"a": lambda x: x}, {"x": 0})
motor.set(5)
msgs = []
def accumulator(msg):
msgs.append(msg)
fresh_RE.msg_hook = accumulator
def plan():
yield from (m for m in [Msg("set", motor, 8)])
fresh_RE(relative_set_wrapper(plan()))
expected = [Msg("set", motor, 13)]
for msg in msgs:
msg.kwargs.pop("group", None)
assert msgs == expected
def test_reset_positions(fresh_RE):
motor = Mover('a', {'a': lambda x: x}, {'x': 0})
motor.set(5)
msgs = []
def accumulator(msg):
msgs.append(msg)
fresh_RE.msg_hook = accumulator
def plan():
yield from (m for m in [Msg('set', motor, 8)])
fresh_RE(reset_positions_wrapper(plan()))
expected = [Msg('set', motor, 8), Msg('set', motor, 5), Msg('wait')]
for msg in msgs:
msg.kwargs.pop('group', None)
assert msgs == expected
def test_relative_set(fresh_RE):
motor = Mover('a', {'a': lambda x: x}, {'x': 0})
motor.set(5)
msgs = []
def accumulator(msg):
msgs.append(msg)
fresh_RE.msg_hook = accumulator
def plan():
yield from (m for m in [Msg('set', motor, 8)])
fresh_RE(relative_set_wrapper(plan()))
expected = [Msg('set', motor, 13)]
for msg in msgs:
msg.kwargs.pop('group', None)
assert msgs == expected
def test_reset_positions_no_position_attr(fresh_RE):
motor = DummyMover('motor')
motor.set(5)
msgs = []
def accumulator(msg):
msgs.append(msg)
fresh_RE.msg_hook = accumulator
def plan():
yield from (m for m in [Msg('set', motor, 8)])
fresh_RE(reset_positions_wrapper(plan()))
expected = [Msg('read', motor),
Msg('set', motor, 8), Msg('set', motor, 5), Msg('wait')]
for msg in msgs:
msg.kwargs.pop('group', None)
assert msgs == expected
def test_outer_product_dscan():
scan = OuterProductDeltaScanPlan([det], motor1, 1, 3, 3, motor2, 10, 20, 2,
False)
# Note: motor1 is the first motor specified, and so it is the "slow"
# axis, matching the numpy convention.
motor.set(0)
motor1.set(5)
motor2.set(8)
expected_data = [{
'motor2': 18.0,
'det': 1.0,
'motor1': 6.0
}, {
'motor2': 28.0,
'det': 1.0,
'motor1': 6.0
}, {
'motor2': 18.0,
'det': 1.0,
'motor1': 7.0
}, {
'motor2': 28.0,
'det': 1.0,
'motor1': 7.0
}, {
'motor2': 18.0,
'det': 1.0,
'motor1': 8.0
}, {
'motor2': 28.0,
'det': 1.0,
'motor1': 8.0
}]
for d in expected_data:
d.update({'motor1_setpoint': d['motor1']})
d.update({'motor2_setpoint': d['motor2']})
multi_traj_checker(scan, expected_data)
def test_lin_dscan():
traj = np.linspace(0, 10, 5) + 6
motor.set(6)
scan = DeltaScanPlan([det], motor, 0, 10, 5)
traj_checker(scan, traj)
def test_log_dscan():
traj = np.logspace(0, 10, 5) + 6
motor.set(6)
scan = LogDeltaScan([det], motor, 0, 10, 5)
yield traj_checker, scan, traj
def test_dscan():
traj = np.array([1, 2, 3])
motor.set(-4)
scan = DeltaListScan([det], motor, traj)
yield traj_checker, scan, traj - 4
def test_dscan():
traj = np.array([1, 2, 3])
motor.set(-4)
scan = DeltaListScan([det], motor, traj)
yield traj_checker, scan, traj - 4
def test_dscan():
traj = np.array([1, 2, 3])
motor.set(-4)
print(motor.read())
scan = DeltaListScanPlan([det], motor, traj)
traj_checker(scan, traj - 4)
def test_dscan_list_input():
# GH225
traj = [1, 2, 3]
motor.set(-4)
scan = DeltaListScanPlan([det], motor, traj)
traj_checker(scan, np.array(traj) - 4)
def test_lin_dscan():
traj = np.linspace(0, 10, 5) + 6
motor.set(6)
scan = DeltaScanPlan([det], motor, 0, 10, 5)
traj_checker(scan, traj)
def test_dscan():
traj = np.array([1, 2, 3])
motor.set(-4)
print(motor.read())
scan = DeltaListScanPlan([det], motor, traj)
traj_checker(scan, traj - 4)
def test_dscan_list_input():
# GH225
traj = [1, 2, 3]
motor.set(-4)
scan = DeltaListScan([det], motor, traj)
yield traj_checker, scan, np.array(traj) - 4
def test_log_dscan():
traj = np.logspace(0, 10, 5) + 6
motor.set(6)
scan = LogDeltaScan([det], motor, 0, 10, 5)
yield traj_checker, scan, traj
