class RateAnalyser(WinAnalyser):
def __init__(self):
super(RateAnalyser, self).__init__()
self.timeAndGold = AnalysisTree(2, WinAnalyser, {1: anyValueTime, 2: anyValueGold})
def analyze(self, data):
WinAnalyser.analyze(self, data)
timeStep = getTimeSection(data.timeStamp)
goldDiff = getGoldSection(data.goldDiff)
self.timeAndGold.analyze((goldDiff, timeStep), data)
def result(self):
timeAndGoldTable = [self.timeAndGold.result(keys) for keys in product(possibleGoldValues, possibleTimeValues)]
timeTable = [self.timeAndGold.result(keys) for keys in product((anyValueGold,), possibleTimeValues)]
goldTable = [self.timeAndGold.result(keys) for keys in product(possibleGoldValues, (anyValueTime,))]
winStatistic = self.timeAndGold.result((anyValueGold, anyValueTime))
return TimeGoldSpread(timeAndGoldTable, timeTable, goldTable, winStatistic)
if __name__ == '__main__':
dataSets = generateDataSetsFromFiles()
#keyGeneratorList = (regions, versions, Maps.idToMap, queueTypes, eloTypes, Champions.idToChampion, Items.apItemIds, roleTypes, laneTypes) #region patch map queue champion item role lane
anyValues = {
1: LaneTypes.ANY,
2: RoleTypes.ANY,
3: 'ANY',
4: 'ANY',
5: EloType.ANY,
6: QueueType.ANY,
7: 'ANY',
8: Versions.ANY,
9: RegionTypes.ANY
}
analysisTree = AnalysisTree(9, RateAnalyser, anyValues)
skipCounter = SavedObject(0, "../data/analysis/analysisCounter.pkl")
print("Starting to analyze the data")
doneCount = 0
oneRuncount = 0
def groupResultsChampItem(resultGen):
comp = next(resultGen)
partial = [comp]
for result in resultGen:
if not comp[0][4] == result[0][4]:
commonKey = ShortKeyTuple(*comp[0][0:5])
yield GroupedResults(commonKey, partial)
def __init__(self):
super(RateAnalyser, self).__init__()
self.timeAndGold = AnalysisTree(2, WinAnalyser, {1: anyValueTime, 2: anyValueGold})
