Reputation: 4739
Say I have a class like so:
public class Work
{
public string Name;
public double Time;
public Work(string name, double time)
{
Name = name;
Time = time;
}
}
And I have a List<Work>
with about 20 values that are all filled in:
List<Work> workToDo = new List<Work>();
// Populate workToDo
Is there any possible way that I can group workToDo
into segments where each segments sum of Time is a particular value? Say workToDo
has values like so:
Name | Time
A | 3.50
B | 2.75
C | 4.25
D | 2.50
E | 5.25
F | 3.75
If I want the sum of times to be 7, each segment or List<Work>
should have a bunch of values where the sum of all the Times is 7 or close to it. Is this even remotely possible or is it just a stupid question/idea? I am using this code to separate workToDo
into segments of 4:
var query = workToDo.Select(x => x.Time)
.Select((x, i) => new { Index = i, Value = x})
.GroupBy(y => y.Index / 4)
.ToList();
But I am not sure how to do it based on the Times.
Upvotes: 4
Views: 520
Reputation: 2521
This solution recurses through all combinations and returns the ones whose sums are close enough to the target sum.
Here is the pretty front-end method that lets you specify the list of work, the target sum, and how close the sums must be:
public List<List<Work>> GetCombinations(List<Work> workList,
double targetSum,
double threshhold)
{
return GetCombinations(0,
new List<Work>(),
workList,
targetSum - threshhold,
targetSum + threshhold);
}
Here is the recursive method that does all of the work:
private List<List<Work>> GetCombinations(double currentSum,
List<Work> currentWorks,
List<Work> remainingWorks,
double minSum,
double maxSum)
{
// Filter out the works that would go over the maxSum.
var newRemainingWorks = remainingWorks.Where(x => currentSum + x.Time <= maxSum)
.ToList();
// Create the possible combinations by adding each newRemainingWork to the
// list of current works.
var sums = newRemainingWorks
.Select(x => new
{
Works = currentWorks.Concat(new [] { x }).ToList(),
Sum = currentSum + x.Time
})
.ToList();
// The initial combinations are the possible combinations that are
// within the sum range.
var combinations = sums.Where(x => x.Sum >= minSum).Select(x => x.Works);
// The additional combinations get determined in the recursive call.
var newCombinations = from index in Enumerable.Range(0, sums.Count)
from combo in GetCombinations
(
sums[index].Sum,
sums[index].Works,
newRemainingWorks.Skip(index + 1).ToList(),
minSum,
maxSum
)
select combo;
return combinations.Concat(newCombinations).ToList();
}
This line will get combinations that sum to 7 +/- 1:
GetCombinations(workToDo, 7, 1);
Upvotes: 1
Reputation: 6026
Here's a query that segments your data in groups where the times are near to 7, but not over:
Func<List<Work>,int,int,double> sumOfRange = (list, start, end) => list
.Skip(start)
.TakeWhile ((x, index) => index <= end)
.ToList()
.Sum (l => l.Time);
double segmentSize = 7;
var result = Enumerable.Range(0, workToDo.Count ())
.Select (index => workToDo
.Skip(index)
.TakeWhile ((x,i) => sumOfRange(workToDo, index, i)
<= segmentSize));
The output for your example data set is:
A 3.5
B 2.75
total: 6.25
B 2.75
C 4.25
total: 7
C 4.25
D 2.5
total: 6.75
D 2.5
total: 2.5
E 5.25
total: 5.25
F 3.75
total: 3.75
If you want to allow a segments to total over seven, then you could increase the segmentSize
variable by 25% or so (i.e. make it 8.75).
Upvotes: 2
Reputation: 3412
What you are describing is a packing problem (where the tasks are being packed into 7-hour containers). Whilst it would be possible to use LINQ syntax in a solution to this problem, there is no solution inherent in LINQ that I am aware of.
Upvotes: 1