public static void CalculateTotalLoss(out float txTotalLoss, out float rxTotalLoss, float txFeederLen, float rxFeederLen, float rxJumpLoss_ant, float rxJumpLoss_bs, float txJumpLoss_ant, float txJumpLoss_bs, float txMisc, float rxMisc, TmaEquipment tma, FeederEquipment feeder)
{
float num = 0f;
float num2 = 0f;
float dlLoss = 0f;
if (feeder != null)
{
num = Convert.ToSingle(feeder.GetFeederLoss((double) txFeederLen));
num2 = Convert.ToSingle(feeder.GetFeederLoss((double) rxFeederLen));
}
if (tma != null)
{
dlLoss = tma.DlLoss;
}
else
{
rxJumpLoss_bs = 0f;
txJumpLoss_bs = 0f;
}
txTotalLoss = (((txMisc + num) + txJumpLoss_ant) + txJumpLoss_bs) + dlLoss;
rxTotalLoss = ((rxMisc + num2) + rxJumpLoss_ant) + rxJumpLoss_bs;
}
private void ConvertXLSToFeederEquipment(SubsystemDataImple systemDateImple, XlsTable xlsTmaTable)
{
List<FeederEquipment> list = new List<FeederEquipment>();
for (int i = 0; i < xlsTmaTable.Data.Rows.Count; i++)
{
DataRow row = xlsTmaTable.Data.Rows[i];
try
{
FeederEquipment item = new FeederEquipment();
item.Name = row["Name"].ToString();
item.LossPerHundredMeter = float.Parse(row["Feeder loss per metre (dB/100m)"].ToString());
list.Add(item);
}
catch (Exception exception)
{
this.m_Model.EventVierService.WriteLog("Feeder Equipment Table's " + (i + 1) + "row import error", Huawei.UNet.Frame.Interface.LogLevel.Warning);
WriteLog.Logger.Error(exception.StackTrace);
}
}
systemDateImple.FeederEquipment = list;
}
public FeederExtractor(FeederEquipment aFeeder)
{
this.m_feeder = aFeeder;
}
public FeederDesc(FeederCollection feederColl, FeederEquipment feederEntity, List<string> excludeNames) : this(feederColl, feederEntity)
{
this.m_newNames = excludeNames;
}
public FeederDesc(FeederCollection feederColl, FeederEquipment feederEntity)
{
this.m_Entity = feederEntity;
this.m_FeederCollection = feederColl;
}
