def test_subs_input():
def cb1(name, doc):
pass
def cb2(name, doc):
pass
def cb3(name, doc):
pass
def cb_fact4(scan):
def cb4(name, doc):
pass
return cb4
def cb_fact5(scan):
def cb5(name, doc):
pass
return cb5
# Test input normalization on OO plans
obj_ascan = AbsScanPlan([det], motor, 1, 5, 4)
obj_ascan.subs = cb1
assert obj_ascan.subs == {'all': [cb1], 'start': [], 'stop': [],
'descriptor': [], 'event': []}
obj_ascan.subs.update({'start': [cb2]})
assert obj_ascan.subs == {'all': [cb1], 'start': [cb2], 'stop': [],
'descriptor': [], 'event': []}
obj_ascan.subs = [cb2, cb3]
assert obj_ascan.subs == {'all': [cb2, cb3], 'start': [], 'stop': [],
'descriptor': [], 'event': []}
def test_subs_input():
def cb1(name, doc):
pass
def cb2(name, doc):
pass
def cb3(name, doc):
pass
def cb_fact4(scan):
def cb4(name, doc):
pass
return cb4
def cb_fact5(scan):
def cb5(name, doc):
pass
return cb5
# Test input normalization on OO plans
obj_ascan = AbsScanPlan([det], motor, 1, 5, 4)
obj_ascan.subs = cb1
assert obj_ascan.subs == {'all': [cb1], 'start': [], 'stop': [],
'descriptor': [], 'event': []}
obj_ascan.subs.update({'start': [cb2]})
assert obj_ascan.subs == {'all': [cb1], 'start': [cb2], 'stop': [],
'descriptor': [], 'event': []}
obj_ascan.subs = [cb2, cb3]
assert obj_ascan.subs == {'all': [cb2, cb3], 'start': [], 'stop': [],
'descriptor': [], 'event': []}
def test_set():
scan = AbsScanPlan([det], motor, 1, 5, 3)
assert scan.start == 1
assert scan.stop == 5
assert scan.num == 3
scan.set(start=2)
assert scan.start == 2
scan.set(num=4)
assert scan.num == 4
assert scan.start == 2
def test_set():
scan = AbsScanPlan([det], motor, 1, 5, 3)
assert scan.start == 1
assert scan.stop == 5
assert scan.num == 3
scan.set(start=2)
assert scan.start == 2
scan.set(num=4)
assert scan.num == 4
assert scan.start == 2
#might want to put in configuration file
import scanoutput
from bluesky.plans import AbsScanPlan
from bluesky.scientific_callbacks import PeakStats
from bluesky.scientific_callbacks import plot_peak_stats
from imp import reload
import matplotlib.pylab as plt
import sys
#sys.path.append('/nfs/xf05id1/src/srxtools/')
#Oleg specifically
energy.move_u_gap.put(False)
energy.move_c2_x.put(False)
energy.u_gap.read_attrs.append('elevation')
olegplan = AbsScanPlan([bpmAD, pu], energy, 8.143, 7.792, 20)
#olegplan=AbsScanPlan([bpmAD, pu], energy, 8.143, 7.792, 176)
livetableitem = [energy.energy, bpmAD.stats1.total, bpmAD.stats3.total]
liveploty = bpmAD.stats3.total.name
liveplotx = energy.energy.name
liveplotfig = plt.figure()
ps = []
ps.append(PeakStats(energy.energy.name, bpmAD.stats3.total.name))
#for executing the current plan
#RE(olegplan, [LiveTable(livetableitem), LivePlot(liveploty, x=liveplotx, fig=liveplotfig), ps[-1]])
#figureofmerit=oleg_afterscan(ps)
#def ud_crab_plan(pu, us_u, us_l, ds_u, ds_l, other_dets):
def test_lin_ascan():
traj = np.linspace(0, 10, 5)
scan = AbsScanPlan([det], motor, 0, 10, 5)
traj_checker(scan, traj)
