public IList <IEvent> Decode(
TimingChunk timings,
IEnumerable <Step> steps,
IEnumerable <Trigger> triggers,
IPanelMapper panelMapper)
{
return(_timingEventDecoder.Decode(timings)
.Concat(_stepEventDecoder.Decode(steps, panelMapper))
.Concat(_triggerEventDecoder.Decode(triggers))
.OrderBy(ev => ev[NumericData.MetricOffset])
.AsList());
}
private IEnumerable <IChart> DecodeInternal(IEnumerable <Step1Chunk> data)
{
var chunks = data.AsList();
if (!chunks.Any())
{
throw new RhythmCodexException("No chunks to decode.");
}
var timings = _timingChunkDecoder.Convert(chunks[0].Data);
foreach (var chunk in chunks.Skip(1))
{
var timingEvents = _timingEventDecoder.Decode(timings);
// Decode the raw steps.
var steps = _stepChunkDecoder.Convert(chunk.Data);
// Old charts store singles charts twice, as if it was a couples chart. So, check for that.
int?panelCount = null;
var steps1 = steps.Select(s => s.Panels & 0xF).ToArray();
var steps2 = steps.Select(s => s.Panels >> 4).ToArray();
var isSingle = steps1.SequenceEqual(steps2);
int?playerCount;
if (isSingle)
{
playerCount = 1;
panelCount = 4;
foreach (var step in steps)
{
step.Panels &= 0xF;
}
}
else
{
// Bit of a hack to make solo charts work.
playerCount = steps.Any(s => (s.Panels & 0xA0) != 0) ? 2 : 1;
panelCount = _stepPanelSplitter.Split(steps.Aggregate(0, (i, s) => i | s.Panels)).Count() / playerCount;
}
// Determine what kind of chart this is based on the panels used.
var mapper = _panelMapperSelector.Select(steps, new ChartInfo {
PanelCount = panelCount, PlayerCount = playerCount
});
// Convert the steps.
var stepEvents = _stepEventDecoder.Decode(steps, mapper);
var events = timingEvents.Concat(stepEvents).ToList();
var info = _chartInfoDecoder.Decode(Bitter.ToInt32(chunk.Data.AsSpan(0)), mapper.PlayerCount, mapper.PanelCount);
// Output metadata.
var difficulty = info.Difficulty;
var type = $"{SmGameTypes.Dance}-{info.Type}";
var description = $"step1 - {events.Count(ev => ev[FlagData.Note] == true)} panels - {steps.Count(s => s.Panels != 0)} steps";
var chart = new Chart
{
Events = events,
[StringData.Difficulty] = difficulty,
[StringData.Type] = type,
[StringData.Description] = description
};
var firstTiming = timings.Timings.OrderBy(t => t.LinearOffset).First();
chart[NumericData.LinearOffset] = chart.GetZeroLinearReference(
(BigRational)firstTiming.LinearOffset / timings.Rate,
(BigRational)firstTiming.MetricOffset / SsqConstants.MeasureLength);
// Have a chart. :3
yield return(chart);
}
}
