def plotCoeff(files):
names = set()
coeffList = {}
count = 0
ktotal = 0
total = 0
for ifile in files:
for line in open(ifile, 'r'):
split = line.split(' ')
if len(split) == 4:
name = split[1].strip()
key = float(split[-2])
val = float(split[-1])
if name not in names:
names.add(name)
if key < 2500:
if key not in coeffList:
coeffList[key] = []
if val != -1000 and val > -2:
coeffList[key].append(val)
else:
count += 1
total += val
ktotal += 1.0
#plotValues();
#plotValues(scindex, 'scindex.png');
print 'Count', count, (total / ktotal), total, ktotal
esorted = sorted(coeffList.items(), key=lambda x: x[0])
toPlot = []
for entry in esorted:
for val in entry[1]:
toPlot.append((entry[0], val))
plotScatter(toPlot, '# terms on Cat node', 'Dunn Index', 'dindex.png')
def TDtE(a, d):
#q=GetAnysizeArray(d)
q = [rd.random() for i in range(0, d)]
x = Contador(0, d)
e = 2.718281828459
y = [(-1 / a) * math.log(q[i]) for i in range(0, d)]
plotScatter(x, y)
def testRandomDec(d):
ab = np.zeros(d)
ord = np.zeros(d)
for i in range(0, d):
ab[i] = GetRandomDec(800)
ord[i] = GetRandomDec(800)
x = ab / QRNnorm(800)
y = ord / QRNnorm(800)
print x
print y
plots.plotScatter(x, y)
def testRandomDec(d):
ab = np.zeros(d)
ord = np.zeros(d)
digits=1023
for i in range(0, d):
ab[i] = GetRandomDec(digits)
ord[i] = GetRandomDec(digits)
x = ab / QRNnorm(digits)
y = ord / QRNnorm(digits)
#print x
#print y
plots.plotScatter(x, y)
def QRPVG_test(digits, dim):
ax = [GetRandomDec(digits) for i in range(0, dim - 1)]
ay = [GetRandomDec(digits) for i in range(0, dim - 1)]
x2 = np.array(ax) + 0.
y2 = np.array(ay) + 0.
norm = QRNnorm(digits)
x = x2 / norm
y = y2 / norm
return plots.plotScatter(x, y)
def RandomDecGraph(ptos,digits):
ab = np.zeros(ptos)
ord = np.zeros(ptos)
for i in range(0, ptos):
ab[i] = GetRandomDec(digits)
ord[i] = GetRandomDec(digits)
x =str( ab / QRNnorm(digits))
y =str( ord / QRNnorm(digits))
file=open('Xdata.txt','w')
file.write(x)
file.close()
file2 = open('Ydata.txt', 'w')
file2.write(y)
file2.close()
print x
print y
plots.plotScatter(x, y)
return x
return y
def QRNG_test():
x1 = GetData(1000)
y1 = GetData(1000)
x1.extend(GetData(1000))
y1.extend(GetData(1000))
norm = np.zeros(2000)
for i in range(0, 2000):
norm[i] = 65535
x = np.divide(x1, norm)
y = np.divide(y1, norm)
return plotScatter(x, y)
def QRNGtest2(d):
x = GetAnysizeArray(d)
y = GetAnysizeArray(d)
return plotScatter(x, y)