#-*- coding: UTF-8 -*-
import random
import numpy as np
import matplotlib.pyplot as plt
#加载数据
def load_exdata(filename):
data = []
with open(filename, 'r') as f:
words=[]
for line in f.readlines():
if ',' in line:
words = line.split(',')
else:
words=line.split('\t')
current = [int(item) for item in words] #根据数据输入的不同确定是int 还是其他类型
#5.5277,9.1302
data.append(current)
return data
#加载苯与丙烯的数据
def load_scidata(filename):
data = []
with open(filename, 'r') as f:
words=[]
for line in f.readlines():
words=line.split('\t')
if not words or len(words)<4:continue
current=[]
for item in words: #根据数据输入的不同确定是int 还是其他类型
if '-' in item :continue
# print(item)
current.append(float(item))
data.append(current)
return data
#特征缩放
def featureNormalize(X):
mu = np.zeros((1,X.shape[1]))
sigma = np.zeros((1,X.shape[1]))
for i in range(X.shape[1]):
mu[0,i] = np.mean(X[:,i]) # 均值
sigma[0,i] = np.std(X[:,i]) # 标准差
# print(mu)
# print(sigma)
X_norm = (X - mu) / sigma
return X_norm,mu,sigma
#计算损失
def computeCost(X, y, theta):
m = y.shape[0]
# J = (np.sum((X.dot(theta) - y)**2)) / (2*m)
C = X.dot(theta) - y
J2 = (C.T.dot(C))/ (2*m)
return J2
#梯度下降
def gradientDescent(X, y, theta, alpha, num_iters):
m = y.shape[0]
#print(m)
# 存储历史误差
J_history = np.zeros((num_iters, 1))
for iter in range(num_iters):
# 对J求导，得到 alpha/m * (WX - Y)*x(i)， (3,m)*(m,1) X (m,3)*(3,1) = (m,1)
theta = theta - (alpha/m) * (X.T.dot(X.dot(theta) - y))
J_history[iter] = computeCost(X, y, theta)
return J_history,theta
def predict(data,theta,mu,sigma):
testx = np.array(data)
testx = ((testx - mu) / sigma)
testx = np.hstack([testx,np.ones((testx.shape[0], 1))])
price = testx.dot(theta)
print('price is %d ' % (price))
print(type(price))
return price
# if __name__=='__main__':
# data = load_exdata('ex1data2.txt');
# data = np.array(data,np.int64)#根据数据输入的不同确定是int 还是其他类型
# iterations = 10000 #迭代次数
# alpha = 0.01 #学习率
# x = data[:,(0,1)].reshape((-1,2))
# y = data[:,2].reshape((-1,1))
# m = y.shape[0]
# x,mu,sigma = featureNormalize(x)
# X = np.hstack([x,np.ones((x.shape[0], 1))])
#
# theta = np.zeros((3, 1))
#
# j = computeCost(X,y,theta)
# J_history,theta = gradientDescent(X, y, theta, alpha, iterations)
#
# print('Theta found by gradient descent',theta)
# predict([1650,3],theta)
def demotest():
data = load_exdata('ex1data2.txt');
data = np.array(data,np.int64)#根据数据输入的不同确定是int 还是其他类型
iterations = 10000 #迭代次数
alpha = 0.01 #学习率
x = data[:,(0,1)].reshape((-1,2))
y = data[:,2].reshape((-1,1))
m = y.shape[0]
x,mu,sigma = featureNormalize(x)
X = np.hstack([x,np.ones((x.shape[0], 1))])
theta = np.zeros((3, 1))
j = computeCost(X,y,theta)
J_history,theta = gradientDescent(X, y, theta, alpha, iterations)
print('Theta found by gradient descent',theta)
predict([1650,3],theta,mu,sigma)
def sci_test():
data = load_scidata('train.txt');
data = np.array(data,np.int64)#根据数据输入的不同确定是int 还是其他类型
iterations = 10000 #迭代次数
alpha = 0.01 #学习率
x = data[:,(0,1)].reshape((-1,2))
y = data[:,2].reshape((-1,1))
x,mu,sigma = featureNormalize(x)
X = np.hstack([x,np.ones((x.shape[0], 1))])
theta = np.zeros((3, 1))
J_history,theta = gradientDescent(X, y, theta, alpha, iterations)
print('Theta found by gradient descent',theta)
a=[]#第一个变量
b=[]#第二个变量
real_y=[]
cal_y=[]
with open('test.txt') as f:
lines=f.readlines()
for line in lines:
words=line.split("\t")
real_y.append(int(float(words[2])))
cal_y.append(float(predict([int(float(words[0])),int(float(words[1]))],theta,mu,sigma)))
a.append(int(float(words[0])))
b.append(int(float(words[1])))
# predict([8800,1420],theta,mu,sigma)
print("real_y:{0}".format(real_y))
print()
print("cal_y:{0}".format(cal_y))
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.add_subplot(111,projection='3d')
ax.plot(a, b, real_y,'-r', label='real_y')
ax.plot(a, b, cal_y,':g', label='cal_y')
ax.legend()
fig1=plt.figure()
ax1 = fig1.add_subplot(111,projection='3d')
ax1.scatter(a,b,real_y,'-r')
ax1.scatter(a,b,cal_y,':g')
plt.show()
if __name__=='__main__':
sci_test()
附件：train.txt:
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8500 1150 1025 1690
8500 1150 1025 1690
8500 1150 1025 1690
8300 1100 1000 1490
8300 1100 990 1480
7900 1100 990 1480
7900 1100 990 1480
7900 1100 990 1480
7900 970 990 1480
7100 970 990 1480
6500 970 980 1470
6500 970 980 1470
6500 970 980 1470
5500 710 980 1470
5500 710 910 1310
5500 710 910 1310
5500 710 910 1310
5500 710 910 1310
4500 535 910 1310
4500 535 710 1075
4100 535 710 1075
4100 535 710 1075
4100 535 710 1075
4100 355 710 800
3100 355 710 800
3100 355 710 800
3100 355 710 800
3100 355 710 735
3100 325 710 735
3500 325 555 735
3600 325 555 735
3600 325 555 735
3600 325 555 685
3600 500 555 685
3600 500 555 685
3600 500 555 685
3600 500 555 685
3600 500 555 685
3600 530 555 685
3600 530 525 625
3600 530 525 625
3600 530 525 625
3600 530 525 625
3600 530 525 625
3600 530 525 595
3600 530 525 595
3600 530 525 595
3600 530 525 595
3600 540 525 585
3600 540 525 585
3600 540 525 585
3600 540 525 585
3600 540 525 585
3600 517.5 520 570
3600 517.5 520 570
3600 517.5 520 570
3600 517.5 520 570
3600 517.5 520 570
3200 525 520 570
3200 525 520 570
3200 525 520 570
3100 525 520 570
3100 525 520 570
2900 512.5 520 570
2900 512.5 520 570
2900 512.5 520 570
2900 562.5 520 570
2900 562.5 520 570
2900 562.5 520 570
2900 562.5 520 570
2900 562.5 520 570
2900 632 500 500
2900 632 500 500
3100 632 500 500
3100 632 500 500
3100 632 500 500
3100 657 500 495
3100 657 500 495
3100 657 500 495
3100 657 500 495
3100 657 500 495
3300 630 500 495
3300 630 510 495
3300 630 510 495
3400 630 510 495
3400 630 510 495
3500 726 530 505
3700 726 530 505
3750 726 530 505
3550 726 530 505
3550 726 550 545
3550 761 550 545
3550 761 550 545
3450 761 550 545
3400 761 550 545
3500 761 585 610
3425 726 585 610
3450 726 585 610
3450 726 585 610
3450 726 585 610
3425 726 585 610
3400 706 615 620
3425 706 615 620
3425 706 615 620
3425 706 615 620
3425 706 615 620
3425 731 615 625
3425 731 615 625
3425 731 615 625
3425 731 615 625
3475 731 615 615
3550 755 615 615
3525 755 615 615
3550 755 615 615
3575 755 615 615
3750 755 615 615
3850 786 615 615
3850 786 615 615
3950 786 615 615
3850 786 615 615
3975 786 615 615
4050 868.5 615 615
4300 868.5 615 615
4300 868.5 615 615
4300 868.5 615 615
4350 868.5 615 615
4500 957 665 710
4500 957 665 710
4500 957 665 710
5100 922 700 730
5100 922 700 730
5025 922 700 730
5025 922 700 730
5025 922 700 730
5025 895 700 730
4950 895 780 840
4850 895 780 840
4775 895 780 840
4775 895 780 840
4750 865 805 850
4700 865 805 850
4600 865 805 850
4500 865 805 865
4550 842.5 805 865
4625 842.5 805 865
4625 842.5 805 865
4675 842.5 805 865
4700 842.5 805 865
4700 820 805 865
4775 820 805 865
4850 820 805 865
4850 820 805 865
4850 820 805 865
4700 850 805 865
4700 850 805 865
4750 850 805 865
4725 850 805 865
4725 850 685 865
4725 810 685 865
4675 810 675 795
4750 810 675 795
4875 835 640 795
4875 835 640 795
4925 835 640 795
5050 835 632.5 795
5050 875 632.5 795
5075 875 632.5 795
5250 875 632.5 795
5250 875 632.5 795
5250 875 690 825
5275 900 690 825
5350 900 690 825
5350 900 690 825
5350 900 690 825
5350 900 690 825
5350 940 690 825
5450 940 690 825
5450 940 690 825
5475 940 690 825
5475 940 690 825
5475 965 690 825
5500 965 690 825
5525 965 690 825
5600 965 690 825
5600 965 690 910
5625 1025 690 910
5600 1025 690 910
5750 1025 690 910
5650 1025 690 910
5650 1025 690 910
5650 1050 690 910
5650 1050 690 910
5650 1050 690 910
5650 1050 690 910
5600 1050 690 910
5600 1055 690 910
5600 1055 690 910
5600 1055 690 910
5600 1055 690 910
5600 1055 690 920
5650 1055 690 920
5650 1055 690 920
5750 1055 690 920
5750 1055 690 920
5750 1055 690 920
5750 1110 690 920
5750 1110 700 920
5825 1110 700 920
5850 1110 700 920
5850 1110 700 920
6000 1125 725 1025
6100 1125 725 1025
6100 1125 725 1025
6050 1125 725 1025
6050 1125 725 1025
6000 1140 725 1025
5875 1140 692.5 1025
5875 1140 692.5 1025
5950 1140 692.5 1025
5950 1140 692.5 1025
5950 1132.5 692.5 1025
5850 1132.5 692.5 1025
5800 1132.5 692.5 1025
5800 1132.5 692.5 1025
5750 1132.5 692.5 1025
5750 1100 692.5 1025
5750 1100 692.5 1025
5750 1100 692.5 1025
5725 1100 692.5 1025
5675 1100 692.5 1010
5675 1065 692.5 1010
5675 1065 692.5 1010
5675 1065 692.5 1010
5675 1065 692.5 1010
5700 1065 727.5 985
5700 1030 727.5 985
5650 1030 727.5 985
5625 1030 727.5 985
5625 1030 727.5 985
5625 1030 727.5 985
5625 975 727.5 985
5550 975 727.5 985
5525 975 727.5 985
5475 975 727.5 985
5375 975 705 945
5375 965 705 945
5325 965 705 945
5400 920 705 945
5475 925 705 945
5475 925 705 945
5475 925 705 945
5475 925 705 945
5475 925 705 945
5600 1010 705 945
5600 1010 705 945
5600 1010 705 945
5700 1010 705 945
5700 1010 705 945
5700 1040 705 945
5700 1040 735 980
5700 1040 735 980
5700 1040 735 980
5775 1040 735 1005
5950 1045 735 1005
5925 1045 735 1005
5925 1045 735 1005
6000 1045 735 1005
6025 1045 735 1055
6175 1052.5 735 1055
6225 1052.5 735 1055
6425 1052.5 735 1055
6475 1052.5 735 1055
6500 1052.5 765 1075
6525 1092.5 765 1075
6525 1092.5 765 1075
6525 1092.5 765 1075
6675 1092.5 765 1075
6675 1092.5 765 1075
6775 1145 765 1075
6875 1145 792.5 1130
6775 1145 792.5 1130
6775 1145 792.5 1130
6775 1145 850 1190
6925 1170 850 1190
6925 1170 850 1190
6925 1170 850 1190
7025 1170 850 1190
7100 1170 885 1270
7100 1135 885 1270
7100 1135 885 1270
7100 1135 885 1270
7100 1135 885 1270
7125 1135 885 1270
7125 1135 885 1270
7125 1135 885 1270
7125 1135 885 1270
7125 1135 885 1270
7125 1135 885 1270
7125 1160 995 1400
7650 1160 995 1400
7500 1160 995 1400
7500 1160 995 1400
7525 1160 995 1400
7525 1190 995 1400
7525 1190 995 1400
7525 1190 995 1400
7525 1215 995 1400
7525 1215 995 1400
8150 1215 995 1400
8175 1215 995 1400
8275 1215 995 1400
8200 1260 995 1400
8275 1260 995 1400
8275 1260 995 1400
8150 1260 995 1400
8150 1260 995 1400
8150 1280 1010 1400
8150 1280 1010 1400
8150 1280 1010 1400
8150 1280 1010 1400
8150 1280 1010 1400
8150 1270 1010 1385
8150 1270 1010 1385
8150 1270 1010 1385
8025 1270 1010 1385
7950 1270 1010 1360
7925 1260 1010 1360
7750 1260 1010 1360
7700 1260 1010 1360
7650 1260 1010 1360
7650 1260 1010 1360
7650 1232.5 1010 1375
7500 1232.5 1010 1375
7500 1232.5 1010 1375
7500 1232.5 1010 1375
7525 1285 1010 1375
7225 1305 1010 1375
7200 1300 1010 1375
7425 1295 980 1372.5
7525 1270 960 1382.5
7750 1265 980 1462.5
7875 1305 980 1497.5
7900 1345 1015 1617.5
7850 1325 1015 1662.5
7725 1330 1010 1682.5
7675 1320 975 1682.5
7450 1307.5 947.5 1660
6800 1180 882.5 1615
6000 1145 802.5 1600
5975 1145 785 1554
6000 1097.5 785 1493
6125 1100 750 1414
6225 1110 682.5 1439
6250 1065 672.5 1526
6225 1070 655 1576
6125 1067.5 650 1626
6175 1090 662.5 1677.5
6550 1150 692.5 1710
6700 1200 727.5 1760
6625 1170 727.5 1760
6625 1210 727.5 1725
6500 1210 727.5 1747.5
6450 1195 727.5 1795
6450 1180 727.5 1795
6425 1160 727.5 1795
6950 1171 727.5 1755
7050 1245 745 1755
7350 1201 832.5 1785
7150 1170 827.5 1760
7225 1205 827.5 1760
7250 1301 797.5 1760
7100 1251 795 1760
6950 1246 837.5 1765
6925 1296 837.5 1765
7025 1315 837.5 1765
7225 1309 842.5 1740
7175 1309 850 1707.5
7250 1301 850 1707.5
7525 1316 892.5 1695
7600 1354 932.5 1695
7775 1354 967.5 1712.5
7800 1354 1002.5 1757.5
7800 1354 1002.5 1757.5
7800 1463 1025 1762.5
8300 1468 1045 1807.5
8550 1497 1040 1827.5
8550 1528 1035 1827.5
8550 1546 1030 1827.5
8350 1615 1030 1827.5
8150 1630 1095 1905
8150 1616 1095 1905
7925 1565 1107.5 1982.5
7925 1565 1142.5 2030
8325 1565 1142.5 2030
8300 1585 1182.5 2065
8400 1611 1182.5 2065
8200 1587 1182.5 2065
8150 1581 1182.5 2047.5
8000 1486 1152.5 2037.5
7950 1456 1147.5 1980
7925 1441 1157.5 1922.5
7725 1441 1147.5 1822.5
7675 1431 1147.5 1822.5
7650 1415 1090 1587.5
7775 1471 1075 1552.5
7975 1511 1075 1627.5
8350 1561 1090 1677.5
8550 1573 1127.5 1762.5
8550 1661 1162.5 1775
8375 1551 1152.5 1775
8250 1601 1152.5 1745
8300 1580 1160 1725
8400 1571.5 1170 1672.5
8475 1590 1185 1625
8600 1590 1197.5 1675
8525 1495 1187.5 1607.5
8325 1450 1165 1550
8325 1440 1187.5 1607.5
8000 1418.5 1092.5 1350
7850 1320.5 1007.5 1260
7750 1280.5 982.5 1230
7650 1245.5 962.5 1235
7650 1280.5 950 1235
7650 1300.5 925 1190
7675 1305.5 887.5 1117.5
7700 1250.5 862.5 1117.5
7875 1240.5 872.5 1140
7925 1235.5 892.5 1140
8075 1235.5 917.5 1277.5
8075 1255.5 950 1327.5
8075 1275.5 1002.5 1375
8175 1310.5 1015 1377.5
8350 1415.5 1015 1377.5
8350 1415.5 1020 1377.5
8625 1445.5 1040 1462.5
8600 1416.5 1040 1462.5
8550 1391.5 1045 1512.5
8525 1371.5 1055 1545
8525 1420 1055 1545
8525 1425.5 1055 1545
8600 1450.5 1055 1545
8600 1450.5 1065 1550
8550 1500.5 1055 1522.5
8550 1540.5 1055 1522.5
8525 1530.5 1050 1505
8525 1500 1050 1522.5
8575 1490 1050 1532.5
8600 1415 1050 1522.5
8525 1320 1012.5 1472.5
8325 1300 962.5 1372.5
8200 1279.5 927.5 1310
8125 1280.5 907.5 1305
7800 1250.5 872.5 1290
7550 1270.5 857.5 1262.5
7525 1273.5 867.5 1265
7400 1321.5 892.5 1275
7800 1350.5 937.5 1325
8000 1375.5 960 1382.5
8500 1339.5 982.5 1440
8600 1329.5 960 1427.5
8650 1319.5 960 1427.5
8875 1351 960 1427.5
8875 1400.5 960 1427.5
9000 1400.5 960 1427.5
9100 1397.5 980 1442.5
9300 1391.5 987.5 1447.5
9650 1389.5 987.5 1447.5
10000 1385.5 1010 1460
10200 1385.5 1010 1460
10200 1335.5 995 1422.5
10150 1340.5 990 1432.5
10150 1344.5 1000 1427.5
10325 1350 1010 1432.5
10325 1364.5 1022.5 1442.5
10550 1364.5 1040 1482.5
10550 1360.5 1062.5 1497.5
10475 1336.5 1087.5 1492.5
10550 1331.5 1092.5 1492.5
10550 1315.5 1105 1502.5
10550 1290 1105 1502.5
10600 1280 1139 1545
10600 1287.5 1139 1545
10600 1302 1145 1555
10825 1335.5 1162.5 1570
10775 1316 1150 1557.5
10775 1335.5 1145 1550
10725 1363.5 1145 1550
10725 1400.5 1145 1550
10725 1400.5 1145 1550
10725 1415.5 1167.5 1552.5
10725 1360.5 1155 1542.5
10350 1310.5 1122.5 1517.5
9650 1300.5 1095 1425
9500 1324.5 1095 1425
9475 1339.5 1062.5 1410
9475 1344.5 1062.5 1410
9575 1325.5 1105 1425
9525 1280.5 1077.5 1405
9575 1300.5 1092.5 1405
9550 1305.5 1097.5 1402.5
9325 1320.5 1130 1402.5
9100 1334.5 1130 1402.5
8850 1340.5 1130
8925 1355.5 1130
8925 1365.5 1130
8925 1376.5 1130
8975 1409.5 1125
8875 1425.5 1062.5 1372.5
8875 1414.5 1062.5 1372.5
9025 1392 1057.5 1305
9025 1389 1077.5 1305
9025 1399 1077.5 1327.5
9075 1410 1087.5 1337.5
9225 1410 1087.5 1337.5
9275 1425 1092.5 1372.5
9300 1451 1092.5 1372.5
9375 1457 1107.5 1372.5
9550 1466 1107.5 1367.5
9575 1465 1107.5 1377.5
9575 1440 1107.5 1377.5
9525 1445.5 1117.5 1377.5
9525 1446.5 1117.5 1377.5
9475 1431.5 1137.5 1392.5
9325 1456.5 1145 1397.5
9000 1460.5 1145 1395
9050 1470.5 1145 1390
9050 1490.5 1145 1390
9075 1469 1190 1375
9175 1469 1190 1375
9275 1473 1187.5 1385
9425 1496 1237.5 1385
9425 1515 1250 1385
9475 1489.5 1220 1397.5
9550 1499.5 1220 1397.5
9550 1500.5 1195 1400
9550 1510.5 1195 1415
9525 1499.5 1195 1405
9525 1484.5 1195 1405
9375 1446 1195 1405
9375 1465 1195 1415
9375 1475.5 1197.5 1425
9125 1460.5 1197.5 1435
8825 1445.5 1195 1440
8625 1450.5 1177.5 1440
8250 1419 1122.5 1435
7975 1404 1087.5 1435
8100 1380.5 1087.5 1435
8375 1380.5 1087.5
8550 1400.5 1087.5
8800 1420.5 1087.5
8800 1435.5 1087.5
8900 1425.5 1087.5
9100 1420.5 1087.5
9175 1425.5 1090
9350 1430.5 1105
9400 1430.5 1105 1472.5
9400 1420.5 1105 1475
9400 1425.5 1097.5 1475
9450 1435.5 1102.5 1475
9725 1455.5 1102.5 1500
9775 1456.5 1102.5 1510
9725 1465.5 1122.5 1510
9650 1475.5 1122.5 1582.5
9650 1475.5 1122.5 1600
9450 1470.5 1142.5 1630
9350 1440.5 1147.5 1640
9350 1400.5 1152.5 1640
9200 1385.5 1152.5 1640
9150 1375.5 1152.5 1635
9050 1370.5 1140 1635
8800 1370.5 1140 1635
8725 1355.5 1110 1590
8500 1345.5 1105 1590
8500 1340.5 1075 1575
8400 1330.5 1062.5 1520
8000 1244.5 1040 1487.5
7850 1225.5 1002.5 1470
7750 1235.5 1002.5 1400
7350 1220.5 975 1375
7150 1195.5 935 1275
7150 1100.5 902.5 1267.5
6900 1025.5 867.5 1222.5
6350 910.5 812.5 1222.5
5000 750.5 720 975
4550 595.5 642.5 825
4800 625.5 630 775
5200 720.5 630 775
5000 730.5 657.5 870
4450 772.5 660 870
4850 840.5 660 870
4850 845.5 660 840
5075 850.5 672.5 850
5150 905.5 637.5 865
5250 915.5 637.5 865
5275 975.5 672.5 895
5650 1085.5 747.5 962.5
5600 1050.5 735 980
5400 990.5 712.5 1015
5600 1040.5 700 1040
5650 1055.5 700 1040
5925 1060.5 700 1040
6350 1075.5 700 1040
6475 1045.5 700 1010
6400 1040.5 695 1015
6225 1040.5 705 1010
5825 1020.5 670 975
5450 995.5 665 947.5
5300 980.5 645 930
5500 995.5 645 910
5725 1002.5 600 917.5
5700 1000.5 605 925
5900 1008.5 615 960
5700 961.5 615 980
5175 905.5 605 945
5300 890.5 585 950
5325 890.5 577.5 950
5250 890.5 577.5 940
5050 875.5 535 910
4900 859.5 530 895
4600 838.5 530 875
4250 735.5 522.5 860
4350 750.5 527.5 850
4650 695.5 522.5 820
4600 645.5 480 830
4600 560.5 455 755
4550 555.5 452.5 755
4650 545.5 450 755
4625 600.5 430 740
4600 620.5 425 735
4450 615.5 417.5 735
4500 617.5 420 742.5
4550 619.5 420 770
4625 611.5 420 795
4625 604.5 425 807.5
test.txt:
4600 610.5 430 815
4500 620.5 425 815
4425 620.5 410 807.5
4325 635.5 405 790
4400 635.5 405 790
4525 600.5 392.5 760
4550 590.5 385 740
4750 655.5 425 745
4900 725.5 462.5 775
5050 710.5 495 795
4975 710.5 515 850
5025 700.5 532.5 855
4950 725.5 545 855
5025 730.5 595 850
5050 730.5 630 855
5175 745.5 630 855
5205 750.5 630 855
5150 750.5 630 850
5140 750.5 625 845
5025 720.5 612.5 845
4975 730.5 607.5 845
4950 735.5 600 830
4825 738.5 585 815
4925 736.5 560 817.5
5000 744.5 560 822.5
5325 760.5 557.5 837.5
5300 750.5 580 840
5250 753.5 587.5 850
5200 750.5 602.5 857.5
5100 755.5 602.5 857.5
5200 765.5 610 855
5325 810.5 617.5 862.5
5325 845.5 620 862.5
5375 855.5 640 865
5350 875.5 650 870
5325 875.5 677.5 870
5310 855.5 685 872.5
5300 850.5 685 870
5300 850.5 685 870
5450 890.5 700 850
5450 850.5 685 812.5
5525 804.5 685 812.5
5575 795.5 675 805
5850 806.5 635 785
6100 829.5 670 750
6550 836.5 705 775
7000 843.5 717.5 805
7850 861.5 717.5 810
7875 915.5 717.5
7550 910.5 717.5 880
7150 915.5 717.5 880
7550 900.5 717.5 880
7950 906.5 852.5 910
8275 910.5 857.5 1025
8350 940.5 922.5 1045
8825 975.5 930 1129
8800 1020.5 930 1134
8200 1005.5 915 1099
7800 950.5 885 1059
7200 942.5 850 999
6850 900.5 820 969
6300 885.5 805 924
6400 855.5 800 939
6750 850.5 775 949
6750 841.5 770 949
6500 830.5 720 914
6450 810.5 675 875
6150 809.5 625 865
6200 815.5 625 824
6500 861.5 630 839
6350 910.5 630 839
6350 908 635 809
6275 831 640 801.5
6375 861 680 809
6050 877 700 819
6200 873 705 824
6050 875 710 809
6125 861 710 821.5
6115 873 687.5 831.5
6050 874.5 665 819
6000 891.5 665 834
6150 901 650 844
6100 902 682.5 844
6275 926 670 839
6400 930 677.5 880
6400 1011 700 970
6175 1000 705 1000
6200 1001 700 1020
6150 994 700 1020
6075 984 700 1017.5
6125 987 690 972.5
6225 982 680 997.5
6375 949 665 1027.5
6625 930 700 1032.5
6550 928 700 1091
6775 952 705 1149
6775 962 725 1199
7100 964 765 1290
7150 973 815 1352.5
6875 994 810 1374
6925 1009 810 1374
6950 1045 810 1351
6975 1056 810 1312.5
7105 1066 790 1275.5
6575 1080 745 1245
6275 1080.5 640 1220
6150 1065 625 1230
6000 1049 625 1220
6025 1045 625 1240
6125 1070 665 1330
6180 1090 710 1375
6185 1090 710 1375
6125 1095 710 1375
6355 1095 710 1325
6450 1105 662.5 1275
6355 1110 662.5 1275
6275 1105 635 1275
6265 1095 635 1275
6205 1100 592.5 1275
6025 1090 575 1275
6205 1080 535 1275
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6500 1045 510 1275
6475 1080 510 1275
6725 1080 537.5 1275
6985 1095 537.5 1275
7160 1125 607.5 1275
7190 1135 600 1275
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