def handle_data(self, data):
events = build_events_from_raw_data(data[0])
for item in events:
if item.shape[0] == 0:
continue
if is_trigger_word(item[0]):
if self.remaining_data.shape[0] > 0:
# check trigger number
if is_trigger_word(self.remaining_data[0]):
trigger_number = self.remaining_data[0] & (self.max_trigger_counter - 1)
if self.last_trigger_number is not None and ((self.last_trigger_number + 1 != trigger_number and self.last_trigger_number + 1 != self.max_trigger_counter) or (self.last_trigger_number + 1 == self.max_trigger_counter and trigger_number != 0)):
if self.data_error_occurred:
if trigger_number > self.last_trigger_number:
missing_trigger_numbers = trigger_number - self.last_trigger_number - 1
else:
missing_trigger_numbers = self.max_trigger_counter - (self.last_trigger_number - trigger_number) - 1
logging.warning('Data errors detected: trigger number read: %d, expected: %d, sending %d empty events', trigger_number, 0 if (self.last_trigger_number + 1 == self.max_trigger_counter) else (self.last_trigger_number + 1), missing_trigger_numbers)
for missing_trigger_number in range(self.last_trigger_number + 1, self.last_trigger_number + missing_trigger_numbers + 1):
pp.SendEvent(np.asarray([missing_trigger_number & (self.max_trigger_counter - 1)], np.uint32))
self.data_error_occurred = False
self.last_trigger_number = trigger_number
else:
logging.warning('Trigger number not increasing: read: %d, expected: %d', trigger_number, 0 if (self.last_trigger_number + 1 == self.max_trigger_counter) else (self.last_trigger_number + 1))
self.last_trigger_number = (self.last_trigger_number + 1) & (self.max_trigger_counter - 1)
else:
self.last_trigger_number = trigger_number
pp.SendEvent(self.remaining_data)
self.remaining_data = item
else:
self.remaining_data = np.concatenate([self.remaining_data, item])
self.raw_data_file.append_item(data, scan_parameters=self.scan_parameters._asdict(), flush=True)
def handle_data(self, data):
events = build_events_from_raw_data(data[0])
for item in events:
if item.shape[0] == 0:
continue
if is_trigger_word(item[0]):
if self.remaining_data.shape[0] > 0:
# check trigger number
if is_trigger_word(self.remaining_data[0]):
trigger_number = self.remaining_data[0] & (self.max_trigger_counter - 1)
if self.last_trigger_number is not None and ((self.last_trigger_number + 1 != trigger_number and self.last_trigger_number + 1 != self.max_trigger_counter) or (self.last_trigger_number + 1 == self.max_trigger_counter and trigger_number != 0)):
if self.data_error_occurred:
if trigger_number > self.last_trigger_number:
missing_trigger_numbers = trigger_number - self.last_trigger_number - 1
else:
missing_trigger_numbers = self.max_trigger_counter - (self.last_trigger_number - trigger_number) - 1
logging.warning('Data errors detected: trigger number read: %d, expected: %d, sending %d empty events', trigger_number, 0 if (self.last_trigger_number + 1 == self.max_trigger_counter) else (self.last_trigger_number + 1), missing_trigger_numbers)
for missing_trigger_number in range(self.last_trigger_number + 1, self.last_trigger_number + missing_trigger_numbers + 1):
pp.SendEvent(np.asarray([missing_trigger_number & (self.max_trigger_counter - 1)], np.uint32))
self.data_error_occurred = False
self.last_trigger_number = trigger_number
else:
logging.warning('Trigger number not increasing: read: %d, expected: %d', trigger_number, 0 if (self.last_trigger_number + 1 == self.max_trigger_counter) else (self.last_trigger_number + 1))
self.last_trigger_number = (self.last_trigger_number + 1) & (self.max_trigger_counter - 1)
else:
self.last_trigger_number = trigger_number
pp.SendEvent(self.remaining_data)
self.remaining_data = item
else:
self.remaining_data = np.concatenate([self.remaining_data, item])
self.raw_data_file.append_item(data, scan_parameters=self.scan_parameters._asdict(), flush=True)
def handle_data(self, data, new_file=False, flush=True):
bad_event = False
for data_tuple in data[0]: # only use data from first module
events = build_events_from_raw_data(
data_tuple[0]) # build events from raw data array
for event in events:
if event.shape[0] == 0:
continue
if is_trigger_word(event[0]):
if self.remaining_data.shape[0] > 0:
# check trigger number
if is_trigger_word(self.remaining_data[0]):
trigger_number = get_trigger_data(
self.remaining_data[0], mode=self.trigger_mode)
if trigger_number >= self.max_trigger_counter:
logging.warning(
'Trigger number larger than expected - read %d, maximum: %d'
% (trigger_number,
self.max_trigger_counter - 1))
if self.last_trigger_number is not None and (
(self.last_trigger_number + 1 != trigger_number
and self.last_trigger_number + 1 !=
self.max_trigger_counter) or
(self.last_trigger_number + 1
== self.max_trigger_counter
and trigger_number != 0)):
if self.data_error_occurred:
missing_trigger_numbers = []
curr_missing_trigger_number = self.last_trigger_number + 1
while True:
if curr_missing_trigger_number == self.max_trigger_counter:
curr_missing_trigger_number = 0
if trigger_number == curr_missing_trigger_number:
break
missing_trigger_numbers.append(
curr_missing_trigger_number)
curr_missing_trigger_number += 1
logging.warning(
'Data errors detected - trigger number read: %d, expected: %d, sending %d empty events',
trigger_number,
self.last_trigger_number + 1,
len(missing_trigger_numbers))
for missing_trigger_number in missing_trigger_numbers:
pp.SendEvent(
np.asarray(
[missing_trigger_number],
dtype=np.uint32))
self.data_error_occurred = False
self.last_trigger_number = trigger_number
else:
logging.warning(
'Trigger number not increasing - read: %d, expected: %d',
trigger_number,
self.last_trigger_number)
if self.send_bad_events:
self.last_trigger_number += 1
if self.last_trigger_number == self.max_trigger_counter:
self.last_trigger_number = 0
else:
bad_event = True
else:
self.last_trigger_number = trigger_number
# inside if statement to ignore any data before first trigger
if bad_event:
logging.warning(
'Skipping event with trigger number %d',
trigger_number)
bad_event = False
else:
pp.SendEvent(self.remaining_data)
# outside if statement so that any data before first trigger becomes an event
# pp.SendEvent(self.remaining_data)
self.remaining_data = event
else:
self.remaining_data = np.concatenate(
[self.remaining_data, event])
super(EudaqExtTriggerScan, self).handle_data(data=data,
new_file=new_file,
flush=flush)