private Dictionary <string, List <LocationsDistance> > GroupByStartLocation(LocationsDistance[] distances)
{
Dictionary <string, List <LocationsDistance> > groupedLocationsDistances =
new Dictionary <string, List <LocationsDistance> >();
foreach (LocationsDistance distance in distances)
{
// Each location can be starting and ending
string[][] locationsCombinations = new string[2][] {
new string[2] {
distance.StartLocation, distance.EndLocation
},
new string[2] {
distance.EndLocation, distance.StartLocation
}
};
// Iterating through both combinations
for (int i = 0; i < locationsCombinations.Length; i++)
{
var locationsCombination = locationsCombinations[i];
LocationsDistance directedDistance = new LocationsDistance
{
StartLocation = locationsCombination[0],
EndLocation = locationsCombination[1],
Distance = distance.Distance
};
// If distances starting from this location still don't exist
if (!groupedLocationsDistances.ContainsKey(locationsCombination[0]))
{
List <LocationsDistance> distancesStartingFromLocation = new List <LocationsDistance>();
groupedLocationsDistances.Add(locationsCombination[0], distancesStartingFromLocation);
}
groupedLocationsDistances[locationsCombination[0]].Add(directedDistance);
}
}
return(groupedLocationsDistances);
}
public LocationsDistance[] GetDistances(string input)
{
string[] distancesArray = input.Split(Environment.NewLine, StringSplitOptions.RemoveEmptyEntries);
LocationsDistance[] distances = new LocationsDistance[distancesArray.Length];
Regex distanceRegex = new Regex(@"^(\w+)\sto\s(\w+)\s\=\s(\d+)$");
for (int i = 0; i < distancesArray.Length; i++)
{
Match distanceMatches = distanceRegex.Match(distancesArray[i]);
GroupCollection distanceGroups = distanceMatches.Groups;
distances[i] = new LocationsDistance
{
StartLocation = distanceGroups[1].Value,
EndLocation = distanceGroups[2].Value,
Distance = int.Parse(distanceGroups[3].Value)
};
}
return(distances);
}
