def draw_topK(search_type=0, bar_type=0):
# testSampleResultFile.t=0.ns=500.r=1.k=10.nw=1
alg_type = ['SPBase', 'SPBest']
ns = 200
radius = 2
ks = [1, 3, 5, 8, 10, 15, 20]
nw = 5
if bar_type==0:
ys = [i*1000 for i in range(13)]
ys = None
y_label = 'Runtime (ms)'
elif bar_type==1:
ys = [i*100 for i in range(5)]
y_label = '# of TQSP Computations'
else:
ys = [i*10 for i in range(6)]
y_label = '# of R-tree nodes accessed'
base_dir = 'D:\\nowMask\KnowledgeBase\\sample_result\\yago2s_single_date\\k_nw\\'
if bar_type==0:
timeBar = Bar(xLabel=r'top-$k$', yLabel=y_label, is_stack=True, title=r'top-k type=' + str(search_type), ys=ys)
for i in range(len(alg_type)):
datas = []
for k in ks:
data = Data.getData(fp=PathUtility.sample_res_path(base_dir, sp=alg_type[i], nwlen=1000000, mds=1000, t=search_type, ns=200, r=2, k=k, nw=5, wf=500, dr=7))
print(data)
datas.append(data)
timeOthers = []
timeSemantics = []
for data in datas:
timeSemantics.append(data.timeSemantic)
timeOthers.append(data.timeOther)
timeBar.draw_bar(i, timeSemantics, hatch=Bar.hatchx, label=alg_type[i])
timeBar.draw_bar(i, timeOthers, ys=timeSemantics, faceColor='white')
timeBar.show()
else:
if 1==bar_type: y_type = 'TQSP'
elif 2==bar_type: y_type = 'RTree'
bar = Bar(xLabel=r'top-$k$', yLabel=y_label, title=r'top-k type=' + str(search_type), ys=ys, y_type=y_type)
for i in range(len(alg_type)):
datas = []
for k in ks:
data = Data.getData(fp=PathUtility.sample_res_path(base_dir, sp=alg_type[i], nwlen=1000000, mds=1000, t=search_type, ns=200, r=2, k=k, nw=5, wf=500, dr=7))
print(data)
datas.append(data)
list1 = []
for data in datas:
if 1==bar_type:
list1.append(data.numTQSP)
elif 2==bar_type:
list1.append(data.numAccessedRTreeNode)
bar.draw_bar(i, list1, label=alg_type[i])
bar.show()
def draw_date_range(label=r'$|q.\delta|$', base_y=None, x_rotation=0, fpath='test.pdf'):
if base_y!=None: ys = [base_y+i*100 for i in range(0, 17)]
# x_txts = [r'$5\times10^8$', r'$1\times10^8$', r'$5\times10^7$', r'$1\times10^7$',
# r'$5\times10^6$', r'$1\times10^6$', r'$5\times10^5$', r'$1\times10^5$',
# r'$1\times10^4$', '0']
# x_txts = [0,3,7,15,30,50,100,150,300,600]
# drs = [0,3,7,15,30,50,100,150,300,600]
drs = [0,3,7,15,30,50,100,150]
x_txts = [0,6,14,30,60,100,200,300]
xs=[i for i in range(len(drs))]
if base_y!=None: chart = LineChart(xs, x_txts, ys=ys, yscale='liner', xLabel=label, title=label, yLabel='Runtime (ms)', xlabel_rotation=x_rotation, fpath = fpath)
else: chart = LineChart(xs, x_txts, xLabel=label, title=label, yLabel='Runtime (ms)', xlabel_rotation=x_rotation, fpath=fpath)
base_dir = 'D:\\nowMask\KnowledgeBase\\sample_result\\yago2s_single_date\\dr\\'
alg_types=['SPBase', 'SPBest']
for alg_type in alg_types:
runtimes = []
for dr in drs:
data = Data.getData(fp=PathUtility.sample_res_path(base_dir, sp=alg_type, nwlen=1000000, mds=1000, t=1, ns=200, r=2, k=5, nw=5, wf=500, dr=dr))
# print(data)
runtimes.append(data.timeTotal)
print(runtimes)
if alg_type=='SPBase':
chart.draw_line(runtimes, r'$SPTR$')
elif alg_type=='SPBest':
chart.draw_line(runtimes, r'$SPTR^*$')
chart.show()
def draw_n_words(search_type=0):
# testSampleResultFile.t=0.ns=500.r=1.k=10.nw=1
xs = [0.5, 1, 2, 3, 4, 5, 5.5]
x_txts = [1.0, 3.0, 5.0, 8.0, 10.0]
ys = [i*100 for i in range(15)]
alg_type = ['SPBase', 'SPBest']
ns = 200
radius = 2
k = 5
nws = [1, 3, 5, 8, 10]
base_dir = 'D:\\nowMask\KnowledgeBase\\sample_result\\yago2s_single_date\\k_nw\\'
timeBar = Bar(xLabel=r'|$q.\psi$|', yLabel='Runtime (ms)', is_stack=True, title='n_wrods type=' + str(search_type), ys=ys, xs=xs, x_txts=x_txts, y_type='NW')
for i in range(len(alg_type)):
datas = []
for nw in nws:
data = Data.getData(fp=PathUtility.sample_res_path(base_dir, sp=alg_type[i], nwlen=1000000, mds=1000, t=search_type, ns=200, r=2, k=5, nw=nw, wf=500, dr=7))
print(data)
datas.append(data)
timeOthers = []
timeSemantics = []
for data in datas:
timeSemantics.append(data.timeSemantic)
timeOthers.append(data.timeOther)
timeBar.draw_bar(i, timeSemantics, hatch=Bar.hatchx, label=alg_type[i])
timeBar.draw_bar(i, timeOthers, ys=timeSemantics, faceColor='white')
timeBar.show()
def draw_differ_size(line_type=0, title='Graph Vertex Size (in million)', fpath='test.pdf'):
# testSampleResultFile.t=0.ns=500.r=1.k=10.nw=1
xs = [1, 2, 3, 4]
x_txts = [2.0, 4.0, 6.0, 8.0]
if line_type==0: yLabel='Runtime (ms)'
elif line_type==1: yLabel = '# of R-tree nodes accessed'
chart = LineChart(xs, x_txts, xLabel=r'Graph Vertex Size (in million)', yLabel=yLabel, title=title, fpath=fpath)
alg_types = ['SPBase', 'SPBest']
ts = [0, 1]
sizes = ['2000000', '4000000', '6000000', 'org']
alg_names = [r'$SPTD$', r'$SPTR$', r'$SPTD^*$', r'$SPTR^*$']
base_dir = 'D:\\nowMask\KnowledgeBase\\sample_result\\yago2s_single_date\\diff_size\\'
alg_names_index = 0
for alg_type in alg_types:
for t in ts:
runtimes = []
for i in range(len(sizes)):
data = Data.getData(fp=PathUtility.sample_res_path(base_dir + sizes[i] + '\\', sp=alg_type, nwlen=1000000, mds=1000, t=t, ns=200, r=2, k=5, nw=5, wf=500, dr=7))
print(data)
if line_type==0: runtimes.append(data.timeTotal)
elif line_type==1: runtimes.append(data.numAccessedRTreeNode)
chart.draw_line(runtimes, label=alg_names[alg_names_index])
alg_names_index = alg_names_index + 1
chart.show()
def draw_nw(base_y=None, fpath='test.pdf'):
ys = None
if base_y != None:
ys = [base_y+i*100 for i in range(0, 11)]
x_txts = [1.0, 3.0, 5.0, 8.0, 10.0]
xs=[i for i in range(len(x_txts))]
yLabel = 'Runtime (ms)'
chart = LineChart(xs, x_txts, ys=ys, xLabel=r'|$q.\psi$|', yLabel=yLabel, title=r'|$q.\psi$|', fpath=fpath)
alg_types = ['SPBase', 'SPBest']
search_types = [0, 1]
type = None
nws = [1, 3, 5, 8, 10]
base_dir = 'D:\\nowMask\KnowledgeBase\\sample_result\\yago2s_single_date\\k_nw\\'
for search_index in range(len(search_types)):
for alg_index in range(len(alg_types)):
if alg_index==0:
if search_index==0: type=r'$SPTD$'
else: type=r'$SPTR$'
else:
if search_index==0: type=r'$SPTD^*$'
else: type=r'$SPTR^*$'
runtimes = []
for nw in nws:
data = Data.getData(fp=PathUtility.sample_res_path(base_dir, sp=alg_types[alg_index], nwlen=1000000, mds=1000, t=search_types[search_index], ns=200, r=2, k=5, nw=nw, wf=500, dr=7))
print(data)
runtimes.append(data.timeTotal)
chart.draw_line(runtimes, type)
chart.show()
def oNword(fName='test.pdf', type=1):
rFanout = 50
alpha = 0.5
steepD = 0.1
h = 14
om = 1
oe = '1.0E-4'
ns = 100
t = 1
ts = [11, 12]
k = 10
nw = 2
nws = [1, 2, 3, 4]
mpts = 50
eps = '1.0E-4'
xi = '1.0E-4'
maxPNeiByte = 2147483631
# 设置bar参数
barlabels = ['Basic', 'Adv1']
xlabel = 'number of keyword'
xTxts = ['1', '2', '3', '4']
if type == 1:
ylabel = 'milliseconds'
ys = [i * 500 for i in range(5)]
# ylim=[10, 10000]
elif type == 2:
ylabel = 'number of range queries'
ylim = [100, 100000]
# 创建bar对象
bar = Bar(len(ts),
xlabel=xlabel,
xTxts=xTxts,
ylabel=ylabel,
yscale='linear',
ys=ys,
fName=fName)
dir = BasePathOptic + 'nword\\'
for tIndex in range(len(ts)):
total = []
for nwIndex in range(len(nws)):
data = Data.getData(dir, rFanout, alpha, steepD, h, om, oe, ns,
ts[tIndex], k, nws[nwIndex], mpts, eps, xi,
maxPNeiByte)
print(data)
if type == 1: total.append(data.timeTotal)
elif type == 2: total.append(data.numRangeRtree)
bar.drawBar(barlabels[tIndex], tIndex, total)
bar.show()
def dEpsilon(fName='test.pdf'):
rFanout = 50
alpha = 0.5
steepD = 0.1
h = 14
om = 1
oe = '0.001'
ns = 100
t = 1
ts = [1, 2, 3, 4]
k = 10
nw = 2
mpts = 50
eps = '0.001'
epss = ['1.0E-4', '5.0E-4', '0.001', '0.005', '0.01']
xi = '0.001'
maxPNeiByte = 2147483631
# 设置bar参数
barlabels = ['Basic', 'Adv1', 'Adv2', 'Adv3']
xlabel = '$\epsilon$'
xTxts = ['0.0001', '0.0005', '0.001', '0.005', '0.01']
ylabel = 'milliseconds'
# 创建bar对象
bar = Bar(4,
xlabel=xlabel,
xTxts=xTxts,
xRotateAngle=90,
ylabel=ylabel,
yscale='log',
ylim=[1000, 1000000],
loc=2,
fName=fName)
dir = BasePathDbscan + 'nw_eps_mpt\\'
for tIndex in range(len(ts)):
timeTotals = []
for epsIndex in range(len(epss)):
data = Data.getData(dir, rFanout, alpha, steepD, h, om, oe, ns,
ts[tIndex], k, nw, mpts, epss[epsIndex],
xi, maxPNeiByte)
print(data)
timeTotals.append(data.timeTotal)
bar.drawBar(barlabels[tIndex], tIndex, timeTotals)
bar.show()
def dMinpts(fName='test.pdf'):
rFanout = 50
alpha = 0.5
steepD = 0.1
h = 14
om = 1
oe = '0.001'
ns = 100
t = 1
ts = [1, 2, 3, 4]
k = 10
nw = 2
mpts = 5
mptss = [10, 20, 50, 100, 200]
eps = '0.001'
xi = '0.001'
maxPNeiByte = 2147483631
# 设置bar参数
barlabels = ['Basic', 'Adv1', 'Adv2', 'Adv3']
xlabel = 'minpts'
xTxts = ['10', '20', '50', '100', '200']
ylabel = 'milliseconds'
# 创建bar对象
bar = Bar(4,
xlabel=xlabel,
xTxts=xTxts,
ylabel=ylabel,
yscale='log',
ylim=[1000, 100000],
fName=fName)
dir = BasePathDbscan + 'nw_eps_mpt\\'
for tIndex in range(len(ts)):
timeTotals = []
for mptIndex in range(len(mptss)):
data = Data.getData(dir, rFanout, alpha, steepD, h, om, oe, ns,
ts[tIndex], k, nw, mptss[mptIndex], eps,
xi, maxPNeiByte)
print(data)
timeTotals.append(data.timeTotal)
bar.drawBar(barlabels[tIndex], tIndex, timeTotals)
bar.show()
def draw_radius(type=0, base_y=600, title='TEST', fpath='test.pdf'):
ys = [base_y+i*50 for i in range(0, 11)]
xs=[i for i in range(0, 4)]
x_txts = [1.0, 2.0, 3.0, 5.0]
chart = LineChart(xs, x_txts, ys=ys, yscale='liner', xLabel=r'$\alpha$-radius', yLabel='Runtime (ms)', title=title, fpath=fpath)
# chart = LineChart(xs, x_txts, xLabel=r'$\alpha$-radius', yLabel='Runtime (ms)')
radius = [1, 2, 3, 5]
ks = [1, 3, 5, 8, 10, 15, 20]
base_dir = 'D:\\nowMask\KnowledgeBase\\sample_result\\yago2s_single_date\\radius_k\\'
for k in ks:
runtimes = []
for r in radius:
data = Data.getData(fp=PathUtility.sample_res_path(base_dir, nwlen=1000000, mds=1000, t=type, ns=200, r=r, k=k, nw=5, wf=500, dr=7))
print(data)
runtimes.append(data.timeTotal)
chart.draw_line(runtimes, 'k=' + str(k))
chart.show()
def draw_k(show_type, base_y=None, fpath='test.pdf'):
ys = None
ys = [i*100 for i in range(17)]
if base_y != None:
ys = [base_y+i*100 for i in range(0, 17)]
x_txts = [1.0, 3.0, 5.0, 8.0, 10.0, 15.0, 20.0]
xs=[i for i in range(len(x_txts))]
yLabel = None
yscale = 'liner'
if 0==show_type:
yLabel = 'Runtime (ms)'
elif 1==show_type:
yLabel = '# of TQTSP Computations'
yscale='log'
elif 2==show_type: yLabel = '# of R-tree nodes accessed'
chart = LineChart(xs, x_txts, ys=ys, yscale=yscale, xLabel=r'top-$k$', yLabel=yLabel, title=r'top-$k$', fpath=fpath)
alg_types = ['SPBase', 'SPBest']
search_types = [0, 1]
type = None
ks = [1, 3, 5, 8, 10, 15, 20]
base_dir = 'D:\\nowMask\KnowledgeBase\\sample_result\\yago2s_single_date\\k_nw\\'
for search_index in range(len(search_types)):
for alg_index in range(len(alg_types)):
if alg_index==0:
if search_index==0: type=r'$SPTD$'
else: type=r'$SPTR$'
else:
if search_index==0: type=r'$SPTD^*$'
else: type=r'$SPTR^*$'
runtimes = []
for k in ks:
data = Data.getData(fp=PathUtility.sample_res_path(base_dir, sp=alg_types[alg_index], nwlen=1000000, mds=1000, t=search_types[search_index], ns=200, r=2, k=k, nw=5, wf=500, dr=7))
print(data)
if 0==show_type: runtimes.append(data.timeTotal)
elif 1==show_type: runtimes.append(data.numTQSP)
elif 2==show_type: runtimes.append(data.numAccessedRTreeNode)
chart.draw_line(runtimes, type)
chart.show()
def draw_max_date(nwlen=1000000, label='MAX_DATE_DIFFERENCE', base_y=None, x_rotation=0, fpath='test.pdf'):
if base_y!=None: ys = [base_y+i*50 for i in range(0, 11)]
xs=[i for i in range(0, 9)]
x_txts = [r'$2.1\times10^8$', r'$5\times10^3$', r'$2.5\times10^3$', r'$1\times10^3$',
r'$7.5\times10^2$', r'$5\times10^2$', r'$2.5\times10^2$', r'$1\times10^2$',
r'$1$']
maxDates = [210000000, 5000, 2500, 1000, 750, 500, 250, 100, 1]
if base_y!=None: chart = LineChart(xs, x_txts, ys=ys, yscale='liner', xLabel=label, yLabel='Runtime (ms)', title=label, xlabel_rotation=x_rotation, fpath = fpath)
else: chart = LineChart(xs, x_txts, xLabel=label, yLabel='Runtime (ms)', title=label, xlabel_rotation=x_rotation, fpath = fpath)
chart.ax.grid('on')
types=[0, 1]
for type in types:
runtimes = []
for maxDate in maxDates:
data = Data.getData(type, 200, 3, 5, 5, relativePath='nw=10\\MAX_DATE', f_nwlen=nwlen, f_mds=maxDate)
runtimes.append(data.timeTotal)
if type==0:
chart.draw_line(runtimes, r'$SPTD^*$')
elif type==1:
chart.draw_line(runtimes, r'$SPTR^*$')
chart.show()
def draw_max_pn(label="l", base_y=None, x_rotation=0, fpath='test.pdf'):
if base_y!=None: ys = [base_y+i*100 for i in range(0, 17)]
xs=[i for i in range(0, 10)]
lens = [500000000, 100000000, 50000000, 10000000, 5000000, 1000000, 500000, 100000, 10000, 0]
x_txts = [r'$5\times10^8$', r'$1\times10^8$', r'$5\times10^7$', r'$1\times10^7$',
r'$5\times10^6$', r'$1\times10^6$', r'$5\times10^5$', r'$1\times10^5$',
r'$1\times10^4$', '0']
if base_y!=None: chart = LineChart(xs, x_txts, ys=ys, yscale='liner', xLabel=label, title=label, yLabel='Runtime (ms)', xlabel_rotation=x_rotation, fpath = fpath)
else: chart = LineChart(xs, x_txts, xLabel=label, title=label, yLabel='Runtime (ms)', xlabel_rotation=x_rotation, fpath=fpath)
types=[0, 1]
for type in types:
runtimes = []
for nwlen in lens:
data = Data.getData(type, 200, 3, 5, 5, f_nwlen=nwlen, relativePath='yago2s_single_date\\pn_len')
runtimes.append(data.timeTotal)
if type==0:
chart.draw_line(runtimes, r'$SPTD^*$')
elif type==1:
chart.draw_line(runtimes, r'$SPTR^*$')
chart.ax.grid('on')
chart.show()
def draw_word_frequency(title='WORD_FREQUENCY', base_y=None, rotation=0, fpath='test.pdf'):
if base_y!=None: ys = [base_y+i*100 for i in range(0, 14)]
xs=[i for i in range(0, 10)]
x_txts = [0, r'$5\times10^1$', r'$1\times10^2$',
r'$5\times10^2$', r'$1\times10^3$',
r'$5\times10^3$', r'$1\times10^4$',
r'$5\times10^4$', r'$1\times10^5$',
r'$1\times10^6$'
]
if base_y!=None: chart = LineChart(xs, x_txts, ys=ys, yscale='liner', xLabel=title, yLabel='Runtime (ms)', title=title, xlabel_rotation=rotation, fpath = fpath)
else: chart = LineChart(xs, x_txts, xLabel=title, yLabel='Runtime (ms)', title=title, xlabel_rotation=rotation, fpath = fpath)
# chart.ax.grid('on')
wfs = [0, 50, 100, 500, 1000, 5000, 10000, 50000, 100000, 1000000]
base_dir = 'D:\\nowMask\KnowledgeBase\\sample_result\\yago2s_single_date\\word_fequency_test\\'
runtimes = []
for wf in wfs:
data = Data.getData(fp=PathUtility.sample_res_path(base_dir, wf=wf))
runtimes.append(data.timeTotal)
chart.draw_line(runtimes, r'$SPTD^*$')
chart.show()
def oDiffScale(fName='test.pdf'):
rFanout = 100
alpha = 0.5
steepD = 0.1
h = 12
om = 1
oe = '0.001'
ns = 200
t = 1
ts = [11, 12]
k = 10
nw = 2
mpts = 20
eps = '0.001'
xi = '0.001'
maxPNeiByte = 2147483631
# 设置bar参数
barlabels = ['Basic', 'Adv']
xlabel = 'data set size (in million)'
ylabel = 'seconds'
scaleTxts = ['0.5', '1.0', '1.5', '2.0']
# 创建bar对象
numBar = 2
# bar = Bar(numBar,
# xlabel=xlabel, xTxts=scaleTxts,
# ylabel=ylabel, yscale='log', ylim=[100, 100000],
# fName = fName, xRotateAngle='0')
bar = Bar(numBar,
loc=2,
xlabel=xlabel,
xTxts=scaleTxts,
ylabel=ylabel,
yscale='linear',
ys=[i * 5 for i in range(5)],
fName=fName,
xRotateAngle='0')
dir = BasePathOptic + 'diff_scale\\'
# indexs = Data.indexs(dir, rFanout, alpha, steepD, 14, om, oe, ns, 4,
# k, nw, mpts, eps, xi, maxPNeiByte, numMinCluster=k)
scalePaths = ['50\\', '100\\', '150\\', '200\\']
for tIndex in range(len(ts)):
timeTotals = []
for scalePathIndex in range(len(scalePaths)):
data = Data.getData(dir + scalePaths[scalePathIndex],
rFanout,
alpha,
steepD,
str(h),
om,
oe,
ns,
ts[tIndex],
k,
nw,
mpts,
eps,
xi,
maxPNeiByte,
numMinCluster=k)
# data = Data.getDataByIndexs(dir, rFanout, alpha, steepD, hs[hIndex], om, oe, ns, ts[tIndex],
# k, nw, mpts, eps, xi, indexs=indexs)
print(data)
timeTotals.append(data.timeTotal / 1000)
bar.drawBar(barlabels[tIndex], tIndex, timeTotals)
bar.show()
def oK(fName='test.pdf'):
rFanout = 100
alpha = 0.5
steepD = 0.1
h = 12
om = 1
# oe='5.0E-4'
oe = '0.001'
ns = 200
t = 1
ts = [11, 12]
k = 10
ks = [5, 10, 15, 20]
nw = 2
mpts = 20
eps = '0.001'
xi = '0.001'
# xi ='5.0E-4'
maxPNeiByte = 2147483631
# 设置bar参数
barlabels = ['Basic', 'Adv']
xlabel = 'k'
xTxts = ['5', '10', '15', '20']
ys = None
ylabel = 'seconds'
ys = [i * 5 for i in range(6)]
# ylim=[10, 10000]
yscale = 'linear'
# 创建bar对象
bar = Bar(len(ts),
xlabel=xlabel,
xTxts=xTxts,
ylabel=ylabel,
yscale=yscale,
ys=ys,
fName=fName)
dir = BasePathOptic + 'k\\'
indexs = Data.indexs(dir,
rFanout,
alpha,
steepD,
12,
om,
oe,
ns,
12,
k,
nw,
mpts,
eps,
xi,
maxPNeiByte,
numMinCluster=k)
for tIndex in range(len(ts)):
total = []
for kIndex in range(len(ks)):
# data = Data.getData(dir, rFanout, alpha, steepD, h, om, oe, ns, ts[tIndex],
# ks[kIndex], nw, mpts, eps, xi, maxPNeiByte)
data = Data.getDataByIndexs(dir,
rFanout,
alpha,
steepD,
h,
om,
oe,
ns,
ts[tIndex],
ks[kIndex],
nw,
mpts,
eps,
xi,
indexs=indexs)
print(data)
total.append(data.timeTotal / 1000)
bar.drawBar(barlabels[tIndex], tIndex, total)
bar.show()
def oNword(fName='test.pdf', type=1):
rFanout = 100
alpha = 0.5
steepD = 0.1
h = 12
om = 1
# oe='5.0E-4'
oe = '0.001'
ns = 200
t = 1
ts = [11, 12]
k = 10
nw = 2
nws = [1, 2, 3, 4]
mpts = 20
eps = '0.001'
xi = '0.001'
# xi ='5.0E-4'
maxPNeiByte = 2147483631
# 设置bar参数
barlabels = ['Basic', 'Adv']
xlabel = 'number of keyword'
xTxts = ['1', '2', '3', '4']
ys = None
if type == 1:
ylabel = 'seconds'
ys = [i * 5 for i in range(6)]
# ylim=[10, 10000]
yscale = 'linear'
elif type == 2:
ylabel = 'number of range queries'
ylim = [100, 100000]
yscale = 'linear'
# 创建bar对象
bar = Bar(len(ts),
xlabel=xlabel,
xTxts=xTxts,
ylabel=ylabel,
yscale=yscale,
ys=ys,
fName=fName)
dir = BasePathOptic + 'nw_01\\'
# indexs = Data.indexs(dir, rFanout, alpha, steepD, 12, om, oe, ns, 12,
# k, nw, mpts, eps, xi, maxPNeiByte, numMinCluster=k)
for tIndex in range(len(ts)):
total = []
for nwIndex in range(len(nws)):
data = Data.getData(dir,
rFanout,
alpha,
steepD,
h,
om,
oe,
ns,
ts[tIndex],
k,
nws[nwIndex],
mpts,
eps,
xi,
maxPNeiByte,
numMinCluster=k)
# data = Data.getDataByIndexs(dir, rFanout, alpha, steepD, h, om, oe, ns, ts[tIndex],
# k, nws[nwIndex], mpts, eps, xi, indexs=indexs)
print(data)
if type == 1: total.append(data.timeTotal / 1000)
elif type == 2: total.append(data.numRangeRtree)
bar.drawBar(barlabels[tIndex], tIndex, total)
bar.show()
def dHAll(fName='test.pdf', isAll=False):
rFanout = 100
alpha = 0.5
steepD = 0.1
h = 15
# hs = ['4', '6', '8', '10', '12', '14', '16']
hs = ['6', '8', '10', '12', '14', '16']
om = 1
oe = '0.001'
ns = 200
t = 1
ts = None
if isAll: ts = [1, 2, 3, 4]
else: ts = [1, 4]
k = 10
nw = 2
mpts = 20
eps = '0.001'
xi = '0.001'
maxPNeiByte = 2147483631
# 设置bar参数
if isAll:
barlabels = ['Basic', 'Adv1', 'Adv2', 'Adv3']
else:
barlabels = ['Basic', 'Adv3']
xlabel = 'h'
ylabel = 'milliseconds'
# 创建bar对象
numBar = 2
if isAll: numBar = 4
if isAll:
bar = Bar(numBar,
widthBar=0.1,
spanBars=0.02,
xlabel=xlabel,
xTxts=hs,
ylabel=ylabel,
yscale='log',
ylim=[1000, 100000],
fName=fName)
else:
bar = Bar(numBar,
xlabel=xlabel,
xTxts=hs,
ylabel=ylabel,
yscale='log',
ylim=[1000, 100000],
fName=fName)
dir = BasePathDbscan + 'h_all02\\'
indexs = Data.indexs(dir,
rFanout,
alpha,
steepD,
14,
om,
oe,
ns,
4,
k,
nw,
mpts,
eps,
xi,
maxPNeiByte,
numMinCluster=k)
for tIndex in range(len(ts)):
timeTotals = []
for hIndex in range(len(hs)):
# data = Data.getData(dir, rFanout, alpha, steepD, hs[hIndex], om, oe, ns, ts[tIndex],
# k, nw, mpts, eps, xi, maxPNeiByte, numMinCluster=k)
data = Data.getDataByIndexs(dir,
rFanout,
alpha,
steepD,
hs[hIndex],
om,
oe,
ns,
ts[tIndex],
k,
nw,
mpts,
eps,
xi,
indexs=indexs)
print(data)
timeTotals.append(data.timeTotal)
bar.drawBar(barlabels[tIndex], tIndex, timeTotals)
bar.show()
def dNword(fName='test.pdf', type=1):
rFanout = 100
alpha = 0.5
steepD = 0.1
h = 12
om = 1
oe = '0.001'
ns = 200
t = 1
ts = [1, 2, 3, 4]
k = 10
nw = 2
nws = [1, 2, 3, 4]
mpts = 20
eps = '0.001'
xi = '0.001'
maxPNeiByte = 2147483631
# 设置bar参数
barlabels = ['Basic', 'Adv1', 'Adv2', 'Adv3']
xlabel = 'number of keyword'
xTxts = ['1', '2', '3', '4']
if type == 1:
ylabel = 'milliseconds'
ylim = [100, 100000]
elif type == 2:
ylabel = 'number of range queries'
ylim = [1000, 100000]
# 创建bar对象
bar = Bar(4,
xlabel=xlabel,
xTxts=xTxts,
ylabel=ylabel,
yscale='log',
ylim=ylim,
fName=fName)
dir = BasePathDbscan + 'nw_mpts\\'
for tIndex in range(len(ts)):
total = []
for nwIndex in range(len(nws)):
data = Data.getData(dir,
rFanout,
alpha,
steepD,
h,
om,
oe,
ns,
ts[tIndex],
k,
nws[nwIndex],
mpts,
eps,
xi,
maxPNeiByte,
numMinCluster=k)
print(data)
if type == 1: total.append(data.timeTotal)
elif type == 2: total.append(data.numRangeRtree)
bar.drawBar(barlabels[tIndex], tIndex, total)
bar.show()
def draw_differ_size(search_type=0, bar_type=0):
# testSampleResultFile.t=0.ns=500.r=1.k=10.nw=1
xs = [0.5, 1, 2, 3, 4, 4.5]
x_txts = [2.0, 4.0, 6.0, 8.0]
alg_type = ['SPBase', 'SPBest']
ns = 200
radius = 2
sizes = [2, 4, 6, 8]
nw = 5
k = 5
if bar_type==0:
ys = [i*1000 for i in range(13)]
ys = None
y_label = 'Runtime (ms)'
elif bar_type==1:
ys = [i*100 for i in range(5)]
y_label = '# of TQSP Computations'
else:
ys = [i*10 for i in range(6)]
y_label = '# of R-tree nodes accessed'
if bar_type==0:
timeBar = Bar(xLabel='Graph Vertex Size (in million)', yLabel=y_label, is_stack=True, title='Graph Vertex Size type=' + str(search_type), ys=ys, xs=xs, x_txts=x_txts)
for i in range(len(alg_type)):
datas = []
for size in sizes:
dir_name = 'sample_result';
if size!=8: dir_name = dir_name + '_' + str(int(size) * 1000000)
dir_name = dir_name + '\\'
data = Data.getData(search_type, ns, radius, k, nw, relativePath='nw=10\\differ_size\\' + dir_name, prefix=alg_type[i]+'.nwlen=1000000.mds=1000')
print(data)
datas.append(data)
timeOthers = []
timeSemantics = []
for data in datas:
timeSemantics.append(data.timeSemantic)
timeOthers.append(data.timeOther)
timeBar.draw_bar(i, timeSemantics, hatch=Bar.hatchx, label=alg_type[i])
timeBar.draw_bar(i, timeOthers, ys=timeSemantics, faceColor='white')
timeBar.show()
else:
if 1==bar_type: y_type = 'TQSP'
elif 2==bar_type: y_type = 'RTree'
bar = Bar(xLabel='Graph Vertex Size (in million)', yLabel=y_label, title='Graph Vertex Size type=' + str(search_type), ys=ys, y_type=y_type, xs=xs, x_txts=x_txts)
for i in range(len(alg_type)):
datas = []
for size in sizes:
dir_name = 'sample_result';
if size!=8: dir_name = dir_name + '_' + str(int(size) * 1000000)
dir_name = dir_name + '\\'
data = Data.getData(search_type, ns, radius, k, nw, relativePath='nw=10\\differ_size\\' + dir_name, prefix=alg_type[i]+'.nwlen=1000000.mds=1000')
print(data)
datas.append(data)
list1 = []
for data in datas:
if 1==bar_type:
list1.append(data.numTQSP)
elif 2==bar_type:
list1.append(data.numAccessedRTreeNode)
bar.draw_bar(i, list1, label=alg_type[i])
bar.show()