def get_score_order(self):
all_scored_devices = []
for cluster in self.clusters:
device_evaluations = cluster.get_all_device_evaluations()
_log.debug('Device Evaluations: ' + str(device_evaluations))
if not device_evaluations:
continue
input_arr = input_matrix(device_evaluations, cluster.crit_labels)
_log.debug('Input Array: ' + str(input_arr))
scored_devices = build_score(input_arr, cluster.row_average, cluster.priority)
all_scored_devices.extend(scored_devices)
all_scored_devices.sort(reverse=True)
_log.debug('Scored Devices: ' + str(all_scored_devices))
results = [x[1] for x in all_scored_devices]
return results
def get_score_order(self):
all_scored_devices = []
for cluster in self.clusters:
device_evaluations = cluster.get_all_device_evaluations()
_log.debug('Device Evaluations: ' + str(device_evaluations))
if not device_evaluations:
continue
input_arr = input_matrix(device_evaluations, cluster.crit_labels)
_log.debug('Input Array: ' + str(input_arr))
scored_devices = build_score(input_arr, cluster.row_average, cluster.priority)
all_scored_devices.extend(scored_devices)
all_scored_devices.sort(reverse=True)
_log.debug('Scored Devices: ' + str(all_scored_devices))
results = [x[1] for x in all_scored_devices]
return results