def analyzeSomaN(n):
jogosObj = CLClasses.getJogosObj('lf')
attr = 'soma%d' %(n)
somaNDict, somaNList = sa.getAttr(attr, jogosObj.sqlTable)
# Remeber: the first 14 values are None, so let's remove them
somaNList = removeNoneFromList(somaNList)
somaAnt = somaNList[0]
directionAnt = 0 # defaults to a 'plateau' position
desce = 0; desceDist = 0; desceDistMax = 0; desceAmount = 0; desceAmountMin = 0
plateau = 0; plateauDist = 0; plateauDistMax = 0; plateauAmount = 0; plateauAmountMax = 0
sobe = 0; sobeDist = 0; sobeDistMax = 0; sobeAmount = 0; sobeAmountMax = 0
i=0
for somaElem in somaNList[1:]:
i+=1
delta = somaElem - somaAnt
if delta < 0:
pText = 'DESC'
desce += 1
if directionAnt == -1:
desceDist += 1
desceAmount += delta
else: # broke direction
desceDist = 1
desceAmount = delta
if desceDist > desceDistMax:
desceDistMax = desceDist
if desceAmount < desceAmountMin:
desceAmountMin = desceAmount
tupleAmount = desceAmount, desceAmountMin
directionAnt = -1
#print 'desce', desce, 'desceDist', desceDist, 'desceDistMax', desceDistMax
elif delta > 0:
pText = 'SOBE'
sobe += 1
if directionAnt == 1:
sobeDist += 1
sobeAmount += delta
else: # broke direction
sobeDist = 1
sobeAmount = delta
if sobeDist > sobeDistMax:
sobeDistMax = sobeDist
if sobeAmount > sobeAmountMax:
sobeAmountMax = sobeAmount
tupleAmount = sobeAmount, sobeAmountMax
directionAnt = 1
else: # somaElem == somaAnt:
pText = 'PLAT'
plateau += 1
if directionAnt == 0:
plateauDist += 1
plateauAmount += delta
else:
plateauDist = 1
plateauAmount = delta
if plateauDist > plateauDistMax:
plateauDistMax = plateauDist
if plateauAmount > plateauAmountMax:
plateauAmountMax = plateauAmount
tupleAmount = plateauAmount, plateauAmountMax
directionAnt = 0
print '%03d %s ant=%d this=%d delta=%d %s' %(i, pText, somaAnt, somaElem, delta, tupleAmount)
somaAnt = somaElem
print 'desce', desce, 'desceDistMax', desceDistMax
print 'sobe', sobe, 'sobeDistMax', sobeDistMax
print 'plateau', plateau, 'plateauDistMax', plateauDistMax
na = numpy.array(somaNList, int)
soma = na.sum()
avg = float(soma) / len(somaNList)
print 'avg', avg
print 'std', na.std()
#histG = Stat.makeHistogram(soma15Dict)
pprint.printDict(somaNDict)
def lookUpPatterns():
table='ms'; nDoConc=101
for tilN in [4, 5, 6, 10]:
pattDict, patts = getAttr('til%dpattern' %(tilN), table, nDoConc)
print 'tilN', tilN
pprint.printDict(pattDict)
def getPatternsDictFor(self, tilN): theDict = self.patternsDict[tilN] pprint.printDict(theDict)
