public void Setup()
{
_consumer = new Consumer();
var dummy = new TPayload();
_data = new MappedInterval <TPayload> [Count];
DataGeneration.LikeReal(Source, Filter, _ => dummy, _data);
var offsetCount = _data.Length / ItemsPerOffset;
var span = _data.Length / offsetCount;
_ascendingOffsets = new int[offsetCount];
_descendingOffsets = new int[offsetCount];
for (var i = 0; i < _ascendingOffsets.Length; ++i)
{
_ascendingOffsets[i] = i * span;
_descendingOffsets[_ascendingOffsets.Length - i - 1] = i * span;
}
var r = new Random(0xF00D);
_randomOffsets = new int[offsetCount];
for (var i = 0; i < _randomOffsets.Length; ++i)
{
_randomOffsets[i] = r.Next(0, _data.Length);
}
}
public void Setup()
{
var dummy = new TPayload();
_ascending = new MappedInterval <TPayload> [Count];
DataGeneration.LikeReal(Source, Filter, _ => dummy, _ascending);
_descending = new MappedInterval <TPayload> [_ascending.Length];
Reverse(_ascending, _descending);
_shuffled = new MappedInterval <TPayload> [_ascending.Length];
Shuffle(_ascending, _shuffled);
var ranges = GeneratePartitions(_ascending.Length).ToArray();
_ranges = new Tuple <int, int> [ranges.Length];
Shuffle(ranges, _ranges);
}