class PybarMimosa26(Transceiver):
def setup_interpretation(self):
self.interpreter = RawDataInterpreter()
self.n_hits = 0
self.n_events = 0
def deserialze_data(self, data): # According to pyBAR data serilization
try:
self.meta_data = jsonapi.loads(data)
except ValueError:
try:
dtype = self.meta_data.pop('dtype')
shape = self.meta_data.pop('shape')
if self.meta_data:
try:
raw_data_array = np.frombuffer(
buffer(data), dtype=dtype).reshape(shape)
return raw_data_array
except (
KeyError, ValueError
): # KeyError happens if meta data read is omitted; ValueError if np.frombuffer fails due to wrong sha
return None
except AttributeError: # Happens if first data is not meta data
return None
return {'meta_data': self.meta_data}
def interpret_data(self, data):
if isinstance(
data[0][1],
dict): # Meta data is omitted, only raw data is interpreted
# Add info to meta data
data[0][1]['meta_data'].update({
'n_hits': self.n_hits,
'n_events': self.n_events
})
return [data[0][1]]
hits = self.interpreter.interpret_raw_data(data[0][1])
interpreted_data = {'hits': hits}
self.n_hits = hits.shape[0]
self.n_events = np.unique(hits['event_number']).shape[0]
# self.interpreter.reset_histograms() # Not implemented yet
return [interpreted_data]
def serialze_data(self, data):
return jsonapi.dumps(data, cls=utils.NumpyEncoder)
class PybarMimosa26(Transceiver):
def setup_interpretation(self):
self.interpreter = RawDataInterpreter()
self.n_hits = 0
self.n_events = 0
def deserialze_data(self, data): # According to pyBAR data serilization
try:
self.meta_data = jsonapi.loads(data)
except ValueError:
try:
dtype = self.meta_data.pop('dtype')
shape = self.meta_data.pop('shape')
if self.meta_data:
try:
raw_data_array = np.frombuffer(buffer(data), dtype=dtype).reshape(shape)
return raw_data_array
except (KeyError, ValueError): # KeyError happens if meta data read is omitted; ValueError if np.frombuffer fails due to wrong sha
return None
except AttributeError: # Happens if first data is not meta data
return None
return {'meta_data': self.meta_data}
def interpret_data(self, data):
if isinstance(data[0][1], dict): # Meta data is omitted, only raw data is interpreted
# Add info to meta data
data[0][1]['meta_data'].update({'n_hits': self.n_hits, 'n_events': self.n_events})
return [data[0][1]]
hits = self.interpreter.interpret_raw_data(data[0][1])
interpreted_data = {
'hits': hits
}
self.n_hits = hits.shape[0]
self.n_events = np.unique(hits['event_number']).shape[0]
# self.interpreter.reset_histograms() # Not implemented yet
return [interpreted_data]
def serialze_data(self, data):
return jsonapi.dumps(data, cls=utils.NumpyEncoder)
def setup_interpretation(self):
self.interpreter = RawDataInterpreter()
self.n_hits = 0
self.n_events = 0
def setup_interpretation(self):
self.interpreter = RawDataInterpreter()
self.n_hits = 0
self.n_events = 0