PerformanceStatistics
Namespace:
Itinero
We found 10 examples in language CSharp for this search.
You will see 25 fragments of code.
Other methods
Other methods
Project:Saba
File:CFPerformanceMonitor.cs
Examples:1
/// <summary>
/// Retrieves the statistics for the last profiled managed application
/// <seealso cref="PerformanceStatistics"/>
/// </summary>
/// <returns>Profile statistics</returns>
public PerformanceStatistics GetCurrentStatistics()
{
m_rapi.CheckConnection();
GetStats();
return m_stats;
}
Project:wpbackup
File:PerformanceStatistics.cs
Examples:6
internal void Add(PerformanceStatistic stat)
{
items.Add(stat);
}
internal void Clear()
{
items.Clear();
}
#region IEnumerable Members
/// <summary>
/// Gets an enumerator for iterating the PerformanceStatistics collection
/// <seealso cref="StatisticEnumerator"/>
/// </summary>
/// <returns>A StatisticEnumerator</returns>
public StatisticEnumerator GetEnumerator()
{
return new StatisticEnumerator(this);
}
IEnumerator IEnumerable.GetEnumerator()
{
return GetEnumerator();
}
/// <summary>
/// Reset
/// </summary>
public void Reset()
{
index = -1;
}
/// <summary>
/// MoveNext
/// </summary>
/// <returns></returns>
public bool MoveNext()
{
index++;
return(index < m_stats.items.Count);
}
Project:DFW-FRATIS-VESCO
File:PerformanceStatistics.cs
Examples:1
using System;
using System.Linq;
namespace PAI.CTIP.Optimization.Reporting.Model
{
public class PerformanceStatistics
{
public int NumberOfJobs { get; set; }
public int NumberOfBackhauls { get; set; }
public int NumberOfLoadmatches { get; set; }
public double DriverDutyHourUtilization { get; set; }
public double DriverDrivingUtilization { get; set; }
public double DrivingTimePercentage { get; set; }
public double WaitingTimePercentage { get; set; }
public static PerformanceStatistics operator + (PerformanceStatistics c1, PerformanceStatistics c2)
{
var result = new PerformanceStatistics()
{
NumberOfJobs = c1.NumberOfJobs + c2.NumberOfJobs,
NumberOfBackhauls = c1.NumberOfBackhauls + c2.NumberOfBackhauls,
NumberOfLoadmatches = c1.NumberOfLoadmatches + c2.NumberOfLoadmatches,
DriverDutyHourUtilization = c1.DriverDutyHourUtilization + c2.DriverDutyHourUtilization,
DriverDrivingUtilization = c1.DriverDrivingUtilization + c2.DriverDrivingUtilization,
DrivingTimePercentage = c1.DrivingTimePercentage + c2.DrivingTimePercentage,
WaitingTimePercentage = c1.WaitingTimePercentage + c2.WaitingTimePercentage
};
return result;
}
}
}
Project:DFW-FRATIS-VESCO
File:PerformanceStatistics.cs
Examples:1
using System;
using System.Linq;
namespace PAI.CTIP.Optimization.Reporting.Model
{
public class PerformanceStatistics
{
public int NumberOfJobs { get; set; }
public int NumberOfBackhauls { get; set; }
public int NumberOfLoadmatches { get; set; }
public double DriverDutyHourUtilization { get; set; }
public double DriverDrivingUtilization { get; set; }
public double DrivingTimePercentage { get; set; }
public double WaitingTimePercentage { get; set; }
public static PerformanceStatistics operator + (PerformanceStatistics c1, PerformanceStatistics c2)
{
var result = new PerformanceStatistics()
{
NumberOfJobs = c1.NumberOfJobs + c2.NumberOfJobs,
NumberOfBackhauls = c1.NumberOfBackhauls + c2.NumberOfBackhauls,
NumberOfLoadmatches = c1.NumberOfLoadmatches + c2.NumberOfLoadmatches,
DriverDutyHourUtilization = c1.DriverDutyHourUtilization + c2.DriverDutyHourUtilization,
DriverDrivingUtilization = c1.DriverDrivingUtilization + c2.DriverDrivingUtilization,
DrivingTimePercentage = c1.DrivingTimePercentage + c2.DrivingTimePercentage,
WaitingTimePercentage = c1.WaitingTimePercentage + c2.WaitingTimePercentage
};
return result;
}
}
}
Project:DFW-FRATIS-VESCO
File:PerformanceStatistics.cs
Examples:1
using System;
using System.Linq;
namespace PAI.CTIP.Optimization.Reporting.Model
{
public class PerformanceStatistics
{
public int NumberOfJobs { get; set; }
public int NumberOfBackhauls { get; set; }
public int NumberOfLoadmatches { get; set; }
public double DriverDutyHourUtilization { get; set; }
public double DriverDrivingUtilization { get; set; }
public double DrivingTimePercentage { get; set; }
public double WaitingTimePercentage { get; set; }
public static PerformanceStatistics operator + (PerformanceStatistics c1, PerformanceStatistics c2)
{
var result = new PerformanceStatistics()
{
NumberOfJobs = c1.NumberOfJobs + c2.NumberOfJobs,
NumberOfBackhauls = c1.NumberOfBackhauls + c2.NumberOfBackhauls,
NumberOfLoadmatches = c1.NumberOfLoadmatches + c2.NumberOfLoadmatches,
DriverDutyHourUtilization = c1.DriverDutyHourUtilization + c2.DriverDutyHourUtilization,
DriverDrivingUtilization = c1.DriverDrivingUtilization + c2.DriverDrivingUtilization,
DrivingTimePercentage = c1.DrivingTimePercentage + c2.DrivingTimePercentage,
WaitingTimePercentage = c1.WaitingTimePercentage + c2.WaitingTimePercentage
};
return result;
}
}
}
Project:archive
File:PerformanceStatistics.cs
Examples:1
using System;
using System.Linq;
namespace PAI.CTIP.Optimization.Reporting.Model
{
public class PerformanceStatistics
{
public int NumberOfJobs { get; set; }
public int NumberOfBackhauls { get; set; }
public int NumberOfLoadmatches { get; set; }
public double DriverDutyHourUtilization { get; set; }
public double DriverDrivingUtilization { get; set; }
public double DrivingTimePercentage { get; set; }
public double WaitingTimePercentage { get; set; }
public static PerformanceStatistics operator + (PerformanceStatistics c1, PerformanceStatistics c2)
{
var result = new PerformanceStatistics()
{
NumberOfJobs = c1.NumberOfJobs + c2.NumberOfJobs,
NumberOfBackhauls = c1.NumberOfBackhauls + c2.NumberOfBackhauls,
NumberOfLoadmatches = c1.NumberOfLoadmatches + c2.NumberOfLoadmatches,
DriverDutyHourUtilization = c1.DriverDutyHourUtilization + c2.DriverDutyHourUtilization,
DriverDrivingUtilization = c1.DriverDrivingUtilization + c2.DriverDrivingUtilization,
DrivingTimePercentage = c1.DrivingTimePercentage + c2.DrivingTimePercentage,
WaitingTimePercentage = c1.WaitingTimePercentage + c2.WaitingTimePercentage
};
return result;
}
}
}
Project:archive
File:PerformanceStatistics.cs
Examples:1
using System;
using System.Linq;
namespace PAI.CTIP.Optimization.Reporting.Model
{
public class PerformanceStatistics
{
public int NumberOfJobs { get; set; }
public int NumberOfBackhauls { get; set; }
public int NumberOfLoadmatches { get; set; }
public double DriverDutyHourUtilization { get; set; }
public double DriverDrivingUtilization { get; set; }
public double DrivingTimePercentage { get; set; }
public double WaitingTimePercentage { get; set; }
public static PerformanceStatistics operator + (PerformanceStatistics c1, PerformanceStatistics c2)
{
var result = new PerformanceStatistics()
{
NumberOfJobs = c1.NumberOfJobs + c2.NumberOfJobs,
NumberOfBackhauls = c1.NumberOfBackhauls + c2.NumberOfBackhauls,
NumberOfLoadmatches = c1.NumberOfLoadmatches + c2.NumberOfLoadmatches,
DriverDutyHourUtilization = c1.DriverDutyHourUtilization + c2.DriverDutyHourUtilization,
DriverDrivingUtilization = c1.DriverDrivingUtilization + c2.DriverDrivingUtilization,
DrivingTimePercentage = c1.DrivingTimePercentage + c2.DrivingTimePercentage,
WaitingTimePercentage = c1.WaitingTimePercentage + c2.WaitingTimePercentage
};
return result;
}
}
}
Project:archive
File:PerformanceStatistics.cs
Examples:1
using System;
using System.Linq;
namespace PAI.CTIP.Optimization.Reporting.Model
{
public class PerformanceStatistics
{
public int NumberOfJobs { get; set; }
public int NumberOfBackhauls { get; set; }
public int NumberOfLoadmatches { get; set; }
public double DriverDutyHourUtilization { get; set; }
public double DriverDrivingUtilization { get; set; }
public double DrivingTimePercentage { get; set; }
public double WaitingTimePercentage { get; set; }
public static PerformanceStatistics operator + (PerformanceStatistics c1, PerformanceStatistics c2)
{
var result = new PerformanceStatistics()
{
NumberOfJobs = c1.NumberOfJobs + c2.NumberOfJobs,
NumberOfBackhauls = c1.NumberOfBackhauls + c2.NumberOfBackhauls,
NumberOfLoadmatches = c1.NumberOfLoadmatches + c2.NumberOfLoadmatches,
DriverDutyHourUtilization = c1.DriverDutyHourUtilization + c2.DriverDutyHourUtilization,
DriverDrivingUtilization = c1.DriverDrivingUtilization + c2.DriverDrivingUtilization,
DrivingTimePercentage = c1.DrivingTimePercentage + c2.DrivingTimePercentage,
WaitingTimePercentage = c1.WaitingTimePercentage + c2.WaitingTimePercentage
};
return result;
}
}
}
Project:SFL-FRATIS-OPT
File:ReportingService.cs
Examples:6
/// <summary>
/// Gets the Solution Performance Statistics
/// </summary>
SolutionPerformanceStatistics GetSolutionPerformanceStatistics(Solution solution);
/// <summary>
/// Gets the Solution Performance Statistics Report
/// </summary>
string GetSolutionPerformanceStatisticsReport(Solution solution);
/// <summary>
/// Gets a list of Performance Statistics per leg of each generated route
/// </summary>
IList<RouteSegmentStatistics> GetRouteSegmentStats(NodeRouteSolution routeSolution);
/// <summary>
/// Computes the Solution Performance Statistics
/// </summary>
/// <param name="solution">The solution from which the report is generated</param>
/// <returns>The generated Performance Statistics from the Solution</returns>
public SolutionPerformanceStatistics GetSolutionPerformanceStatistics(Solution solution)
{
var truckStatisticBySolution = new Dictionary<NodeRouteSolution, TruckPerformanceStatistics>();
var totalRouteStatisticsByTruckState = new Dictionary<TruckState, RouteStatistics>();
var totalPerformanceStatistics = new PerformanceStatistics();
var totalRouteStatistics = new RouteStatistics();
foreach (var routeSolution in solution.RouteSolutions)
{
// calculate truck performance statistics
var truckStatistics = CalculateTruckPerformanceStatistics(routeSolution);
truckStatisticBySolution[routeSolution] = truckStatistics;
// calculate total route statistics by truck state
foreach (var truckState in truckStatistics.RouteStatisticsByTruckState.Keys)
{
if (!totalRouteStatisticsByTruckState.ContainsKey(truckState))
{
totalRouteStatisticsByTruckState[truckState] = new RouteStatistics();
}
totalRouteStatisticsByTruckState[truckState] += truckStatistics.RouteStatisticsByTruckState[truckState];
}
// sum up performance & route stats
totalPerformanceStatistics += truckStatistics.PerformanceStatistics;
totalRouteStatistics += truckStatistics.RouteStatistics;
}
double solutionCount = solution.RouteSolutions.Count;
var result = new SolutionPerformanceStatistics
{
TruckStatistics = truckStatisticBySolution,
TotalRouteStatisticsByTruckState = totalRouteStatisticsByTruckState,
TotalRouteStatistics = totalRouteStatistics,
NumberOfBackhauls = totalPerformanceStatistics.NumberOfBackhauls,
AverageNumberOfBackhauls = totalPerformanceStatistics.NumberOfBackhauls/solutionCount,
NumberOfLoadmatches = totalPerformanceStatistics.NumberOfLoadmatches,
AverageNumberOfLoadmatches = totalPerformanceStatistics.NumberOfLoadmatches/solutionCount,
NumberOfJobs = totalPerformanceStatistics.NumberOfJobs,
AverageNumberOfJobs = totalPerformanceStatistics.NumberOfJobs/solutionCount,
AverageDriverDutyHourUtilization = totalPerformanceStatistics.DriverDutyHourUtilization/solutionCount,
AverageDriverDrivingUtilization = totalPerformanceStatistics.DriverDrivingUtilization/solutionCount,
DrivingTimePercentage = totalRouteStatistics.TotalTravelTime.TotalHours/totalRouteStatistics.TotalTime.TotalHours,
WaitingTimePercentage = totalRouteStatistics.TotalIdleTime.TotalHours/totalRouteStatistics.TotalTime.TotalHours
};
return result;
}
/// <summary>
/// Computes the TruckPerformanceStatistics for a given route solution
/// </summary>
/// <param name="routeSolution">The route from which statistics are generated</param>
/// <returns>The performance statistics for the truck</returns>
public TruckPerformanceStatistics CalculateTruckPerformanceStatistics(NodeRouteSolution routeSolution)
{
var segmentStats = GetRouteSegmentStats(routeSolution);
// calculate the statistics by truck state
var statsByTructState = (from segment in segmentStats
group segment by segment.TruckState into g
select new
{
TruckState = g.Key,
Statistics = g.Aggregate(new RouteStatistics(), (seed, segment) => seed + segment.Statistics)
})
.ToDictionary(key => key.TruckState, value => value.Statistics);
// compute the sum of all the route statistics
var totalRouteStatistics = segmentStats.Aggregate(new RouteStatistics(), (seed, segment) => seed + segment.Statistics);
var performanceStatistics = CalculatePerformanceStatistics(routeSolution);
var truckStatistics = new TruckPerformanceStatistics
{
RouteStatisticsByTruckState = statsByTructState,
RouteStatistics = totalRouteStatistics,
PerformanceStatistics = performanceStatistics,
RouteSegmentStatistics = segmentStats
};
return truckStatistics;
}
/// <summary>
/// Gets the route segment stats.
/// </summary>
/// <param name="routeSolution">The route solution.</param>
/// <returns>a list of statistics for each leg of the route</returns>
public IList<RouteSegmentStatistics> GetRouteSegmentStats(NodeRouteSolution routeSolution)
{
var startTime = routeSolution.StartTime;
var routeStops = _routeService.GetRouteStopsForRouteSolution(routeSolution);
var segmentStats = _routeStopService.CalculateRouteSegmentStatistics(startTime, routeStops);
return segmentStats;
}
Project:DFW-FRATIS-VESCO
File:ReportingService.cs
Examples:6
/// <summary>
/// Gets the Solution Performance Statistics
/// </summary>
SolutionPerformanceStatistics GetSolutionPerformanceStatistics(Solution solution);
/// <summary>
/// Gets the Solution Performance Statistics Report
/// </summary>
string GetSolutionPerformanceStatisticsReport(Solution solution);
IList<RouteSegmentStatistics> GetRouteSegmentStats(NodeRouteSolution routeSolution);
/// <summary>
/// Computes the Solution Performance Statistics
/// </summary>
/// <param name="solution"></param>
/// <returns></returns>
public SolutionPerformanceStatistics GetSolutionPerformanceStatistics(Solution solution)
{
var truckStatisticBySolution = new Dictionary<NodeRouteSolution, TruckPerformanceStatistics>();
var totalRouteStatisticsByTruckState = new Dictionary<TruckState, RouteStatistics>();
var totalPerformanceStatistics = new PerformanceStatistics();
var totalRouteStatistics = new RouteStatistics();
foreach (var routeSolution in solution.RouteSolutions)
{
// calculate truck performance statistics
var truckStatistics = CalculateTruckPerformanceStatistics(routeSolution);
truckStatisticBySolution[routeSolution] = truckStatistics;
// calculate total route statistics by truck state
foreach (var truckState in truckStatistics.RouteStatisticsByTruckState.Keys)
{
if (!totalRouteStatisticsByTruckState.ContainsKey(truckState))
{
totalRouteStatisticsByTruckState[truckState] = new RouteStatistics();
}
totalRouteStatisticsByTruckState[truckState] += truckStatistics.RouteStatisticsByTruckState[truckState];
}
// sum up performance & route stats
totalPerformanceStatistics += truckStatistics.PerformanceStatistics;
totalRouteStatistics += truckStatistics.RouteStatistics;
}
double solutionCount = solution.RouteSolutions.Count;
var result = new SolutionPerformanceStatistics
{
TruckStatistics = truckStatisticBySolution,
TotalRouteStatisticsByTruckState = totalRouteStatisticsByTruckState,
TotalRouteStatistics = totalRouteStatistics,
NumberOfBackhauls = totalPerformanceStatistics.NumberOfBackhauls,
AverageNumberOfBackhauls = totalPerformanceStatistics.NumberOfBackhauls/solutionCount,
NumberOfLoadmatches = totalPerformanceStatistics.NumberOfLoadmatches,
AverageNumberOfLoadmatches = totalPerformanceStatistics.NumberOfLoadmatches/solutionCount,
NumberOfJobs = totalPerformanceStatistics.NumberOfJobs,
AverageNumberOfJobs = totalPerformanceStatistics.NumberOfJobs/solutionCount,
AverageDriverDutyHourUtilization = totalPerformanceStatistics.DriverDutyHourUtilization/solutionCount,
AverageDriverDrivingUtilization = totalPerformanceStatistics.DriverDrivingUtilization/solutionCount,
DrivingTimePercentage = totalRouteStatistics.TotalTravelTime.TotalHours/totalRouteStatistics.TotalTime.TotalHours,
//WaitingTimePercentage = totalRouteStatistics.TotalIdleTime.TotalHours/totalRouteStatistics.TotalTime.TotalHours
};
return result;
}
/// <summary>
/// Computes the TruckPerformanceStatistics for a given route solution
/// </summary>
/// <param name="routeSolution"></param>
/// <returns></returns>
public TruckPerformanceStatistics CalculateTruckPerformanceStatistics(NodeRouteSolution routeSolution)
{
var segmentStats = GetRouteSegmentStats(routeSolution);
// calculate the statistics by truck state
var statsByTructState = (from segment in segmentStats
group segment by segment.TruckState into g
select new
{
TruckState = g.Key,
Statistics = g.Aggregate(new RouteStatistics(), (seed, segment) => seed + segment.Statistics)
})
.ToDictionary(key => key.TruckState, value => value.Statistics);
// compute the sum of all the route statistics
var totalRouteStatistics = segmentStats.Aggregate(new RouteStatistics(), (seed, segment) => seed + segment.Statistics);
var performanceStatistics = CalculatePerformanceStatistics(routeSolution);
var truckStatistics = new TruckPerformanceStatistics
{
RouteStatisticsByTruckState = statsByTructState,
RouteStatistics = totalRouteStatistics,
PerformanceStatistics = performanceStatistics,
RouteSegmentStatistics = segmentStats
};
return truckStatistics;
}
public IList<RouteSegmentStatistics> GetRouteSegmentStats(NodeRouteSolution routeSolution)
{
var startTime = routeSolution.StartTime;
var routeStops = _routeService.GetRouteStopsForRouteSolution(routeSolution);
// var segmentStats = _routeStopService.CalculateRouteSegmentStatistics(startTime, routeStops);
var segmentStats = _routeStopService.CalculateRouteSegmentStatistics(routeStops, startTime);
return segmentStats;
}
Itinero.Profiles.Lua.Diagnostics.PerformanceStatistics : Object
Constructors :
public PerformanceStatistics()Methods :
public Boolean get_Enabled()public Void set_Enabled(Boolean value = )
public PerformanceResult GetPerformanceCounterResult(PerformanceCounter pc = )
public String GetPerformanceLog()
public Type GetType()
public String ToString()
public Boolean Equals(Object obj = )
public Int32 GetHashCode()