def do2d_multi(param_slow: _BaseParameter, start_slow: float, stop_slow: float,
num_points_slow: int, delay_slow: float,
param_fast: _BaseParameter, start_fast: float, stop_fast: float,
num_points_fast: int, delay_fast: float,
lockins: Sequence[SR830],
devices_no_buffer: Iterable[Parameter] = None,
write_period: float = 1.,
threading: List[bool] = [True, True, True, True],
label: str = None,
channels: int = 0,
attempts_to_get: int = 3,
delay_fast_increase: float = 0.0
) -> Tuple[DataSet, ...]:
"""
This is a do2d to be used for a collection of SR830.
Args:
param_slow: The QCoDeS parameter to sweep over in the outer loop
start_slow: Starting point of sweep in outer loop
stop_slow: End point of sweep in the outer loop
num_points_slow: Number of points to measure in the outer loop
delay_slow: Delay after setting parameter in the outer loop
param_fast: The QCoDeS parameter to sweep over in the inner loop
start_fast: Starting point of sweep in inner loop
stop_fast: End point of sweep in the inner loop
num_points_fast: Number of points to measure in the inner loop
delay_fast: Delay after setting parameter before measurement is performed
lockins: Iterable of SR830 lockins
devices_no_buffer: Iterable of Parameters to be measured alongside the lockins
write_period: The time after which the data is actually written to the
database.
threading: For each element which are True, write_in_background, buffer_reset,
and send_trigger and get_trace will be threaded respectively
channels: Channels to get from the buffer. "0" gets both channels
attempts_to_get: Maximum number of attempts to try to get the buffer if it fails
delay_fast_increase: Amount to increase delay_fast if getting the buffer fails
"""
logger.info('Starting do2d_multi with {}'.format(num_points_slow * num_points_fast))
logger.info('write_in_background {},threading buffer_reset {},threading send_trigger {},threading get trace {}'.format(*threading))
begin_time = time.perf_counter()
for lockin in lockins:
if not isinstance(lockin, SR830):
raise ValueError('Invalid instrument. Only SR830s are supported')
lockin.buffer_SR("Trigger")
lockin.buffer_trig_mode.set('ON')
assert isinstance(param_fast, Parameter)
lockin.set_sweep_parameters(param_fast, start_fast, stop_fast, num_points_fast, label=label)
interval_slow = tqdm(np.linspace(start_slow, stop_slow, num_points_slow), position=0)
interval_slow.set_description("Slow parameter")
set_points_fast = lockins[0].sweep_setpoints
meas = Measurement()
meas.write_period = write_period
meas.register_parameter(set_points_fast)
meas.register_parameter(param_fast)
meas.register_parameter(param_slow)
param_fast.post_delay = delay_fast
param_slow.post_delay = delay_slow
traces = _datatrace_parameters(lockins, channels)
for trace in traces:
assert isinstance(trace.root_instrument, SR830)
if len(trace.label.split()) < 2:
trace.label = trace.root_instrument.name + ' ' + trace.label
meas.register_parameter(trace, setpoints=(param_slow, trace.root_instrument.sweep_setpoints))
if devices_no_buffer is not None:
meas_no_buffer = Measurement()
meas_no_buffer.write_period = write_period
meas_no_buffer.register_parameter(param_fast)
meas_no_buffer.register_parameter(param_slow)
for device in devices_no_buffer:
meas_no_buffer.register_parameter(device, setpoints=(param_slow, param_fast))
time_fast_loop = 0.0
time_set_fast = 0.0
time_buffer_reset = 0.0
time_trigger_send = 0.0
time_get_trace = 0.0
cm_datasaver = meas.run(write_in_background=threading[0])
if devices_no_buffer is not None:
cm_datasaver_no_buffer = meas_no_buffer.run(write_in_background=threading[0])
with ExitStack() as cmx:
cmx.enter_context(cm_datasaver)
datasaver = cm_datasaver.datasaver
if devices_no_buffer is not None:
cmx.enter_context(cm_datasaver_no_buffer)
datasaver_no_buffer = cm_datasaver_no_buffer.datasaver
for point_slow in interval_slow:
param_slow.set(point_slow)
data = []
data.append((param_slow, param_slow.get()))
if devices_no_buffer is not None:
data_no_buffer = []
data_no_buffer.append((param_slow, param_slow.get()))
attempts = 0
while attempts < attempts_to_get:
try:
begin_time_temp_buffer = time.perf_counter()
if threading[1]:
with concurrent.futures.ThreadPoolExecutor() as executor:
for lockin in lockins:
executor.submit(lockin.buffer_reset)
else:
for lockin in lockins:
lockin.buffer_reset()
time_buffer_reset += time.perf_counter() - begin_time_temp_buffer
begin_time_temp_fast_loop = time.perf_counter()
interval_fast = tqdm(set_points_fast.get(), position=1, leave=False)
interval_fast.set_description("Fast parameter")
for point_fast in interval_fast:
begin_time_temp_set_fast = time.perf_counter()
param_fast.set(point_fast)
time_set_fast += time.perf_counter() - begin_time_temp_set_fast
begin_time_temp_trigger = time.perf_counter()
if threading[2]:
with concurrent.futures.ThreadPoolExecutor() as executor:
for lockin in lockins:
executor.submit(lockin.send_trigger)
else:
for lockin in lockins:
lockin.send_trigger()
time_trigger_send += time.perf_counter() - begin_time_temp_trigger
if devices_no_buffer is not None:
fast = param_fast.get()
data_no_buffer.append((param_fast, fast))
for device in devices_no_buffer:
device_value = device.get()
data_no_buffer.append((device, device_value))
datasaver_no_buffer.add_result(*data_no_buffer)
time_fast_loop += time.perf_counter() - begin_time_temp_fast_loop
begin_time_temp_trace = time.perf_counter()
if threading[3]:
with concurrent.futures.ThreadPoolExecutor() as executor:
data_trace = executor.map(trace_tuble, traces)
data += list(data_trace)
else:
for trace in traces:
data.append((trace, trace.get()))
time_get_trace += time.perf_counter() - begin_time_temp_trace
data.append((set_points_fast, set_points_fast.get()))
break
except Exception as e:
logger.info('Faild to get buffer')
logger.info(e)
print(e)
attempts += 1
delay_fast += delay_fast_increase
print(attempts)
logger.info('next attempt nr. {}'.format(attempts))
logger.info('next delay_fast. {}'.format(delay_fast))
print(delay_fast)
if attempts < attempts_to_get:
log_message = 'getting the buffer failed, will try again'
print(log_message)
logger.info(log_message)
else:
log_message = 'getting the buffer failed, will go to next slow_point'
print(log_message)
logger.info(log_message)
datasaver.add_result(*data)
message = 'Have finished the measurement in {} seconds'.format(time.perf_counter()-begin_time)
logger.info(message)
message2 = 'Time used in buffer reset {}. Time used in send trigger {}. Time used in get trace {}'.format(time_buffer_reset, time_trigger_send, time_get_trace)
logger.info(message2)
logger.info('time in the fast loop {}'.format(time_fast_loop))
if devices_no_buffer is not None:
return (datasaver.dataset, datasaver_no_buffer.dataset)
else:
return (datasaver.dataset,)
def double_sweep(self, graph=True):
dac = self.dac
dmm = self.dmm
exp = self.exp
station = self.station
meas = Measurement(exp=exp, station=station)
meas.register_parameter(
dac.freq) # register the first independent parameter
meas.register_parameter(dac.amp)
meas.register_parameter(dmm.v1, setpoints=(
dac.freq,
dac.amp,
)) # now register the dependent oone
meas.write_period = 2
if (self.__ax1 != None and graph):
self.__ax1.set_xlabel("Frequency of input (Hz)")
self.__ax1.set_ylabel("Amplitude of input (V)")
self.__ax1.set_title('One Tone Spectroscopy with double sweep')
colorbar = False
#vectors for plotting
Y = []
X = []
C = []
column = -1
with meas.run() as datasaver:
for set_v in np.linspace(self.__amplitude_range[0],
self.__amplitude_range[1],
self.__amplitude_samples):
if (self.__ax1 != None and graph):
C.append([])
column += 1
Y.append(set_v)
dac.amp(set_v)
for set_f in np.linspace(self.__range[0], self.__range[1],
self.__samples):
#sets dac ch1 with the set_v value and gets value from v1
dac.freq.set(set_f)
get_v = dmm.v1.get()
#adds to the datasaver the result
datasaver.add_result((dac.freq, set_f), (dac.amp, set_v),
(dmm.v1, get_v))
#stays in one freq so that the osciloscope can measure the necessary
sleep(self.__freq_time)
#plots graph in real time
#checks if there is a canvas to plot in
if (self.__ax1 != None and graph):
#gets data from dataset to plot
X.append(set_f)
C[column].append(get_v)
#plots data with color from array picked by number
#the pcolor doesn't do well with imcomplete lines/columns alongside imcomplete ones so it' at the end of the main loop
if (self.__ax1 != None and graph):
#removes repeated colorbars
if (colorbar):
colorbar.remove()
graph_colors = self.__ax1.pcolor(X, Y, C)
colorbar = self.__fig.colorbar(graph_colors, ax=self.__ax1)
colorbar.set_label('Amplitude of output (V)',
rotation=270,
labelpad=15)
plt.pause(0.01)
X = []
#changes color of plot for next time
self.__colorN = (self.__colorN + 1) % 7
#adds the amplitude to the dataset as well
datasaver.add_result((dac.amp, dac.amp()))
self.dataset = datasaver.dataset # convenient to have for plotting
print("experiment was run")
def run(self, graph=True, amp=-1, legend=True):
dac = self.dac
dmm = self.dmm
exp = self.exp
station = self.station
#selects between amp set previously or set in the run call
if (amp == -1):
dac.amp(self.__amp)
amp = self.__amp
else:
dac.amp(amp)
meas = Measurement(exp=exp, station=station)
meas.register_parameter(
dac.freq) # register the first independent parameter
meas.register_parameter(dac.amp)
meas.register_parameter(
dmm.v1, setpoints=(dac.freq, )) # now register the dependent oone
meas.write_period = 2
#plot lables
if (self.__ax1 != None and graph):
self.__ax1.set_xlabel("Frequency")
self.__ax1.set_ylabel("Amplitude measured")
title = 'One Tone Spectroscopy sweeping the frequency'
self.__ax1.set_title(title)
#sets legend with amplitude for each plot to appear
first = legend
#vectors for plotting
Y = []
X = []
with meas.run() as datasaver:
#np.linspace is the interval and number of points in the osciloscope
for set_v in np.linspace(self.__range[0], self.__range[1],
self.__samples):
#sets dac ch1 with the set_v value and gets value from v1
dac.freq.set(set_v)
get_v = dmm.v1.get()
#adds to the datasaver the result
datasaver.add_result((dac.freq, set_v), (dmm.v1, get_v))
#stays in one freq so that the osciloscope can measure the necessary
sleep(self.__freq_time / 10)
#plots graph in real time
#checks if there is a canvas to plot in
if (self.__ax1 != None and graph):
#gets data from dataset to plot
X.append(set_v)
Y.append(get_v)
#plots data with color from array picked by number
self.__ax1.plot(X, Y, c=self.__colors[self.__colorN])
#plots once with a label and the legend for it
if (first):
self.__ax1.plot(X,
Y,
c=self.__colors[self.__colorN],
label='Amplitude ' + str(self.__amp) +
'V')
plt.legend(loc='lower right')
first = False
plt.pause(0.01)
#changes color of plot for next time
self.__colorN = (self.__colorN + 1) % 7
#adds the amplitude to the dataset as well
datasaver.add_result((dac.amp, dac.amp()))
self.dataset = datasaver.dataset # convenient to have for plotting
print("experiment was run")
def run_measurement(event,
param_set,
param_meas,
spaces,
settle_times,
name,
comment,
meander,
extra_cmd,
extra_cmd_val,
wait_first_datapoint,
checkstepinterdelay,
manualsetpoints):
# Local reference of THIS thread object
t = current_thread()
# Thread is alive by default
t.alive = True
# Create measurement object
meas = Measurement()
# Apply name
meas.name = name
#Generating setpoints
if manualsetpoints==False:
if meander == True:
setpoints = cartprodmeander(*spaces)
else:
setpoints = cartprod(*spaces)
else:
setpoints = spaces
### Filling station for snapshotting
fill_station(param_set,param_meas)
### Checking and setting safety rates and delays
if checkstepinterdelay:
safetyratesdelays(param_set,spaces)
meas.write_period = 1
#Make array showing changes between setpoints on axes
changesetpoints = setpoints - np.roll(setpoints, 1, axis=0)
#Forcing the first setpoint in changesetpoints to 1 to make sure it is always set.
changesetpoints[0,:] = 1
# Registering set parameters
param_setstring = ''
param_setnames = [None]*len(param_set)
param_setunits = [None]*len(param_set)
for i,parameter in enumerate(param_set):
meas.register_parameter(parameter)
param_setstring += parameter.name + ', '
param_setnames[i] = parameter.name
param_setunits[i] = parameter.unit
output = [None]*len(param_meas)
# Registering readout parameters
param_measstring = ''
param_measnames = [None]*len(param_meas)
param_measunits = [None]*len(param_meas)
param_measnames_sub = [None]*len(param_meas)
paramtype = [None]*len(param_meas)
for i, parameter in enumerate(param_meas):
meas.register_parameter(parameter, setpoints=(*param_set,))
output[i]= [parameter, None]
param_measstring += parameter.name + ', '
param_measnames[i] = parameter.name
if isinstance(parameter, qc.instrument.parameter.ParameterWithSetpoints):
param_measunits[i] = parameter.unit
param_measnames_sub[i] = ''
paramtype[i] = 'ParameterWithSetpoints'
elif isinstance(parameter, qc.instrument.parameter.MultiParameter):
param_measunits[i] = parameter.units
param_measnames_sub[i] = parameter.names
paramtype[i] = 'MultiParameter'
elif isinstance(parameter, qc.instrument.parameter.Parameter):
param_measunits[i] = parameter.unit
paramtype[i] = 'Parameter'
# Start measurement routine
with meas.run() as datasaver:
global measid
measid = datasaver.run_id
# Getting dimensionality of measurement
ndims = setpoints.shape[1]
# Add comment to metadata in database
datasaver.dataset.add_metadata('Comment', comment)
# Main loop for setting values
for i in range(0,setpoints.shape[0]):
#Check for nonzero axis to apply new setpoints by looking in changesetpoints arrays
resultlist = [None]*ndims
if i==0: #On first datapoint change set_params from slow to fast axis
dimlist = range(0,ndims)
else: #On all other datapoints change fast axis first
dimlist = reversed(range(0,ndims))
for j in dimlist:
if not np.isclose(changesetpoints[i,j] , 0, atol=0): # Only set set params that need to be changed
if i==0 and not t.alive: # Allows killing of thread in-between initialisiation of set_parameters for first datapoint.
event.set() # Trigger closing of run_dbextractor
raise KeyboardInterrupt('User interrupted doNd during initialisation of first setpoint.')
# Break out of for loop
break
param_set[j].set(setpoints[i,j])
time.sleep(settle_times[j]) # Apply appropriate settle_time
resultlist[j] = (param_set[j],setpoints[i,j]) # Make a list of result
if i==0: # Add additional waiting time for first measurement point before readout and start timers
time.sleep(wait_first_datapoint)
# Start various timers
starttime = datetime.datetime.now() + datetime.timedelta(0,-1)
lastwrittime = starttime
lastprinttime = starttime
for k, parameter in enumerate(param_meas): # Readout all measurement parameters at this setpoint i
if extra_cmd is not None: # Optional extra command + value that is run before each measurement paremeter is read out.
if extra_cmd[k] is not None:
if extra_cmd_val[k] is not None:
(extra_cmd[k])(extra_cmd_val[k])
else:
(extra_cmd[k])()
output[k][1] = parameter.get()
datasaver.add_result(*resultlist, # Add everything to the database
*output)
setvals = list(zip(param_setnames,[f"{x:.{6}}" for x in setpoints[i,:]],param_setunits))
outputparsed = [None]*len(param_meas)
for k,x in enumerate([row[1] for row in output]):
if paramtype[k] == 'MultiParameter':
valsparsed = [None]*len(x)
for l,y in enumerate(x):
if isinstance(y, (list,tuple,np.ndarray)):
if len(y) > 5:
vals = ['{:.6f}'.format(x) for x in y[0:5]]
vals.append('.......')
else:
vals = ['{:.6f}'.format(x) for x in y]
newvals = [[vals[i]] for i in range(0,len(vals))]
valsparsed[l] = tabulate(newvals,tablefmt='plain')
else:
valsparsed[l] = f"{y:.{6}}"
outputparsed[k] = tabulate(list(zip(param_measnames_sub[k],valsparsed,param_measunits[k])), tablefmt='plain', colalign=('left','left','left'))
if paramtype[k] == 'Parameter':
outputparsed[k] = tabulate([[f"{x:.{6}}",param_measunits[k]]], tablefmt='plain')
if paramtype[k] == 'ParameterWithSetpoints':
outputparsed[k] = '{Parameter with setpoints, not shown.}'
measvals = list(zip(param_measnames,outputparsed))
if not t.alive: # Check if user tried to kill the thread by keyboard interrupt, if so kill it
event.set() # Trigger closing of run_dbextractor
qctools.db_extraction.db_extractor(dbloc = qc.dataset.sqlite.database.get_DB_location(), # Run db_extractor once more
ids=[measid],
overwrite=True,
newline_slowaxes=True,
no_folders=False,
suppress_output=True,
useopendbconnection = True)
plot_by_id(measid)
raise KeyboardInterrupt('User interrupted doNd. All data flushed to database and extracted to *.dat file.')
# Break out of for loop
break
#Time estimation
printinterval = 0.025 # Increase printinterval to save CPU
now = datetime.datetime.now()
finish =['','']
if (now-lastprinttime).total_seconds() > printinterval or i == len(setpoints)-1: # Calculate and print time estimation
frac_complete = (i+1)/len(setpoints)
duration_in_sec = (now-starttime).total_seconds()/frac_complete
elapsed_in_sec = (now-starttime).total_seconds()
remaining_in_sec = duration_in_sec-elapsed_in_sec
perc_complete = np.round(100*frac_complete,2)
clear_output(wait=True)
if i == len(setpoints)-1:
finish[0] = 'Finished: ' + str((now).strftime('%Y-%m-%d'))
finish[1] = str((now).strftime('%H:%M:%S'))
l1 = tabulate([['----------------------' ,'-------------------------------------------------'],
['Starting runid:', str(measid)], # Time estimation now in properly aligned table format
['Name:', name],
['Comment:', comment],
['Set parameter(s):', tabulate(setvals, tablefmt='plain', colalign=('left','left','left'))],
['Readout parameter(s):', tabulate(measvals, tablefmt='plain', colalign=('left','left'))],
['______________________' ,'_________________________________________________'],
['Setpoint: ' + str(i+1) + ' of ' + str(len(setpoints)), '%.2f' % perc_complete + ' % complete.'],
['Started: ' + starttime.strftime('%Y-%m-%d'), starttime.strftime('%H:%M:%S')],
['ETA: ' + str((datetime.timedelta(seconds=np.round(duration_in_sec))+starttime).strftime('%Y-%m-%d')), str((datetime.timedelta(seconds=np.round(duration_in_sec))+starttime).strftime('%H:%M:%S'))],
[finish[0],finish[1]],
['Total duration:', str(datetime.timedelta(seconds=np.round(duration_in_sec)))],
['Elapsed time:', str(datetime.timedelta(seconds=np.round(elapsed_in_sec)))],
['Remaining time:', str(datetime.timedelta(seconds=np.round(remaining_in_sec)))],
], colalign=('right','left'), tablefmt='plain')
print(l1)
lastprinttime = now
event.set() # Trigger closing of run_dbextractor
def run_zerodim(event, param_meas, name, comment, wait_first_datapoint):
# Local reference of THIS thread object
t = current_thread()
# Thread is alive by default
t.alive = True
# Create measurement object
meas = Measurement()
# Apply name
meas.name = name
### Filling station for snapshotting
fill_station_zerodim(param_meas)
meas.write_period = 0.5
output = []
# Registering readout parameters
param_measstring = ''
for parameter in param_meas:
meas.register_parameter(parameter)
output.append([parameter, None])
param_measstring += parameter.name + ', '
# Start measurement routine
with meas.run() as datasaver:
global measid
measid = datasaver.run_id
# Start various timers
starttime = datetime.datetime.now()
l1 = tabulate([['----------------------' ,'-------------------------------------------------'],
['Running 0-dimensional measurement,', 'time estimation not available.'], # Time estimation now in properly aligned table format
['Starting runid:', str(measid)], # Time estimation now in properly aligned table format
['Name:', name],
['Comment:', comment],
['Starting runid:', str(measid)],
['Readout parameter(s):', str(param_measstring)],
['______________________' ,'_________________________________________________'],
['Started: ' + starttime.strftime('%Y-%m-%d'), starttime.strftime('%H:%M:%S')],
], colalign=('right','left'), tablefmt='plain')
print(l1)
# Getting dimensions and array dimensions and lengths
# Main loop for setting values
#Check for nonzero axis to apply new setpoints by looking in changesetpoints arrays
time.sleep(wait_first_datapoint)
resultlist = [None]*1
for k, parameter in enumerate(param_meas): # Readout all measurement parameters at this setpoint i
output[k][1] = parameter.get()
datasaver.add_result(*output)
datasaver.dataset.add_metadata('Comment', comment) # Add comment to metadata in database
now = datetime.datetime.now()
elapsed_in_sec = (now-starttime).total_seconds()
clear_output(wait=True)
l1 = tabulate([['---------------------------------' ,'-------------------------------------------'],
['Running 0-dimensional measurement,', 'time estimation not available.'], # Time estimation now in properly aligned table format
['Starting runid:', str(measid)], # Time estimation now in properly aligned table format
['Name:', name],
['Comment:', comment],
['Starting runid:', str(measid)],
['Readout parameter(s):', str(param_measstring)],
['_________________________________' ,'___________________________________________'],
['Started: ' + starttime.strftime('%Y-%m-%d'), starttime.strftime('%H:%M:%S')],
['Finished: ' + str((now).strftime('%Y-%m-%d')),str((now).strftime('%H:%M:%S'))],
['Total duration:', str(datetime.timedelta(seconds=np.round(elapsed_in_sec)))],
], colalign=('right','left'), tablefmt='plain')
print(l1)
event.set() # Trigger closing of run_dbextractor
def do2d_multi(param_slow: _BaseParameter,
start_slow: float,
stop_slow: float,
num_points_slow: int,
delay_slow: float,
param_fast: _BaseParameter,
start_fast: float,
stop_fast: float,
num_points_fast: int,
delay_fast: float,
bundle: BundleLockin,
write_period: float = 1.,
threading: List[bool] = [True, True, True, True],
show_progress_bar: bool = True,
attempts_to_get: int = 3,
delay_fast_increase: float = 0.0,
label: Union[str, None] = None):
"""
This is a do2d only to be used with BundleLockin.
Args:
param_slow: The QCoDeS parameter to sweep over in the outer loop
start_slow: Starting point of sweep in outer loop
stop_slow: End point of sweep in the outer loop
num_points_slow: Number of points to measure in the outer loop
delay_slow: Delay after setting parameter in the outer loop
param_fast: The QCoDeS parameter to sweep over in the inner loop
start_fast: Starting point of sweep in inner loop
stop_fast: End point of sweep in the inner loop
num_points_fast: Number of points to measure in the inner loop
delay_fast: Delay after setting parameter before measurement is performed
write_period: The time after which the data is actually written to the
database.
threading: For each ellement which are True, write_in_background, buffer_reset,
and send_trigger and get_trace will be threaded respectively
show_progress_bar: should a progress bar be displayed during the
measurement.
attempts_to_get: nummber of attempts to get the buffer before failling
delay_fast_increase: increases the delay_fast if failling
"""
logger.info('Starting do2d_multi with {}'.format(num_points_slow *
num_points_fast))
logger.info(
'write_in_background {},threading buffer_reset {},threading send_trigger {},threading get trace {}'
.format(*threading))
begin_time = time.perf_counter()
meas = Measurement()
bundle.set_sweep_parameters(param_fast,
start_fast,
stop_fast,
num_points_fast,
label=label)
interval_slow = np.linspace(start_slow, stop_slow, num_points_slow)
meas.write_period = write_period
set_points_fast = bundle.setpoints
meas.register_parameter(set_points_fast)
param_fast.post_delay = delay_fast
meas.register_parameter(param_slow)
param_slow.post_delay = delay_slow
bundle_parameters = bundle.__dict__['parameters']
traces = [
bundle_parameters[key] for key in bundle_parameters.keys()
if 'trace' in key
]
for trace in traces:
meas.register_parameter(trace, setpoints=(param_slow, set_points_fast))
time_fast_loop = 0.0
time_set_fast = 0.0
time_buffer_reset = 0.0
time_trigger_send = 0.0
time_get_trace = 0.0
if show_progress_bar:
progress_bar = progressbar.ProgressBar(max_value=num_points_slow *
num_points_fast)
points_taken = 0
with meas.run(write_in_background=threading[0]) as datasaver:
run_id = datasaver.run_id
for point_slow in interval_slow:
param_slow.set(point_slow)
attempts = 0
while attempts < attempts_to_get:
try:
begin_time_temp_buffer = time.perf_counter()
if threading[1]:
with concurrent.futures.ThreadPoolExecutor(
) as executor:
for lockin in bundle.lockins:
executor.submit(lockin.buffer_reset)
else:
for lockin in bundle.lockins:
lockin.buffer_reset()
time_buffer_reset += time.perf_counter(
) - begin_time_temp_buffer
begin_time_temp_fast_loop = time.perf_counter()
for point_fast in set_points_fast.get():
begin_time_temp_set_fast = time.perf_counter()
param_fast.set(point_fast)
time_set_fast += time.perf_counter(
) - begin_time_temp_set_fast
begin_time_temp_trigger = time.perf_counter()
if threading[2]:
with concurrent.futures.ThreadPoolExecutor(
) as executor:
for lockin in bundle.lockins:
executor.submit(lockin.send_trigger)
else:
for lockin in bundle.lockins:
lockin.send_trigger()
if show_progress_bar and attempts == 0:
points_taken += 1
progress_bar.update(points_taken)
time_trigger_send += time.perf_counter(
) - begin_time_temp_trigger
time_fast_loop += time.perf_counter(
) - begin_time_temp_fast_loop
begin_time_temp_trace = time.perf_counter()
if threading[3]:
with concurrent.futures.ThreadPoolExecutor(
) as executor:
data = executor.map(trace_tuble, traces)
data = list(data)
else:
data = []
for trace in traces:
data.append((trace, trace.get()))
time_get_trace += time.perf_counter(
) - begin_time_temp_trace
data.append((param_slow, param_slow.get()))
data.append((set_points_fast, set_points_fast.get()))
break
except Exception as e:
print(e)
attempts += 1
delay_fast += delay_fast_increase
print(attempts)
print(delay_fast)
if attempts < attempts_to_get:
print('getting the buffer failed, will try again')
else:
print(
'getting the buffer failed, will go to next slow_point'
)
datasaver.add_result(*data)
message = 'Have finished the measurement in {} seconds. run_id {}'.format(
time.perf_counter() - begin_time, run_id)
logger.info(message)
message2 = 'Time used in buffer reset {}. Time used in send trigger {}. Time used in get trace {}'.format(
time_buffer_reset, time_trigger_send, time_get_trace)
logger.info(message2)
logger.info('time in the fast loop {}'.format(time_fast_loop))
logger.info('time setting in the fast loop {}'.format(time_set_fast))