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Diagnosa alergi
1.
Data = Columns 1
through 15 1.0000 1.0000 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 1.0000 1.0000 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 0 0 0 0 0 Columns 16 through 30 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 0 0 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0
2.
0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 31 through 33 0 0 0 0 0 0.2000 0 0 0.4000 0 0 0.6000 0 0 0.7000 0 0 0.8000 1.0000 0 0.9000 1.0000 1.0000 1.0000 P = 1 1 1 0 0 1 0 0 1 1 0 0 0 1 1 1 1 0 0 0 1 1 0 0
3.
0 1 1
0 0 1 0 0 1 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0
4.
0 0 0
1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 T = 0 0.2000 0.4000 0.6000 0.7000 0.8000 0.9000 1.0000 pn = 0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 0.7246 0.7246 -1.2076 -1.2076 -1.2076 0.7246 0.7246 0.7246 1.2076 -0.7246 -0.7246 -0.7246 1.2076 1.2076 -0.7246 -0.7246 -0.7246 1.2076 1.2076 -0.7246 -0.7246 1.2076 -0.7246 -0.7246
5.
0.9354 -0.9354 -0.9354
-0.9354 -0.9354 0.9354 0.9354 0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.9354 0.9354 0.9354 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 -0.5401 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536
6.
-0.3536 -0.3536 -0.3536
2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 1.6202 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 meanp = 0.5000 0.6250 0.3750 0.3750 0.5000 0.5000 0.2500 0.2500 0.1250 0.1250
7.
0.1250 0.1250 0.1250 0.1250 0.1250 0.1250 0.2500 0.1250 0.1250 0.1250 0.1250 0.1250 0.1250 0.1250 0.1250 0.1250 0.1250 0.1250 0.1250 0.1250 0.2500
8.
0.1250 stdp = 0.5345 0.5175 0.5175 0.5175 0.5345 0.5345 0.4629 0.4629 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536
9.
0.4629 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536 0.3536 0.4629 0.3536 tn = -1.6453 -1.0730
-0.5007 0.0715 0.3577 0.6438 0.9299 1.2161
10.
meant = 0.5750 stdt = 0.3495 net
= Neural Network object: architecture: numInputs: 1 numLayers: 3 biasConnect: [1; 1; 1]
11.
inputConnect: [1; 0;
0] layerConnect: [0 0 0; 1 0 0; 0 1 0] outputConnect: [0 0 1] targetConnect: [0 0 1] numOutputs: 1 (read-only) numTargets: 1 (read-only) numInputDelays: 0 (read-only) numLayerDelays: 0 (read-only) subobject structures: inputs: {1x1 cell} of inputs layers: {3x1 cell} of layers outputs: {1x3 cell} containing 1 output targets: {1x3 cell} containing 1 target biases: {3x1 cell} containing 3 biases inputWeights: {3x1 cell} containing 1 input weight layerWeights: {3x3 cell} containing 2 layer weights functions:
12.
adaptFcn: 'trains' initFcn: 'initlay' performFcn:
'mse' trainFcn: 'traingdm' parameters: adaptParam: .passes initParam: (none) performParam: (none) trainParam: .epochs, .goal, .lr, .max_fail, .mc, .min_grad, .show, .time weight and bias values: IW: {3x1 cell} containing 1 input weight matrix LW: {3x3 cell} containing 2 layer weight matrices b: {3x1 cell} containing 3 bias vectors other:
13.
userdata: (user stuff) net
= Neural Network object: architecture: numInputs: 1 numLayers: 3 biasConnect: [1; 1; 1] inputConnect: [1; 0; 0] layerConnect: [0 0 0; 1 0 0; 0 1 0] outputConnect: [0 0 1] targetConnect: [0 0 1] numOutputs: 1 (read-only) numTargets: 1 (read-only) numInputDelays: 0 (read-only)
14.
numLayerDelays: 0 (read-only) subobject
structures: inputs: {1x1 cell} of inputs layers: {3x1 cell} of layers outputs: {1x3 cell} containing 1 output targets: {1x3 cell} containing 1 target biases: {3x1 cell} containing 3 biases inputWeights: {3x1 cell} containing 1 input weight layerWeights: {3x3 cell} containing 2 layer weights functions: adaptFcn: 'trains' initFcn: 'initlay' performFcn: 'mse' trainFcn: 'traingdm' parameters:
15.
adaptParam: .passes initParam: (none) performParam:
(none) trainParam: .epochs, .goal, .lr, .max_fail, .mc, .min_grad, .show, .time weight and bias values: IW: {3x1 cell} containing 1 input weight matrix LW: {3x3 cell} containing 2 layer weight matrices b: {3x1 cell} containing 3 bias vectors other: userdata: (user stuff) net = Neural Network object:
16.
architecture: numInputs: 1 numLayers: 3 biasConnect:
[1; 1; 1] inputConnect: [1; 0; 0] layerConnect: [0 0 0; 1 0 0; 0 1 0] outputConnect: [0 0 1] targetConnect: [0 0 1] numOutputs: 1 (read-only) numTargets: 1 (read-only) numInputDelays: 0 (read-only) numLayerDelays: 0 (read-only) subobject structures: inputs: {1x1 cell} of inputs layers: {3x1 cell} of layers outputs: {1x3 cell} containing 1 output targets: {1x3 cell} containing 1 target
17.
biases: {3x1 cell}
containing 3 biases inputWeights: {3x1 cell} containing 1 input weight layerWeights: {3x3 cell} containing 2 layer weights functions: adaptFcn: 'trains' initFcn: 'initlay' performFcn: 'mse' trainFcn: 'traingdm' parameters: adaptParam: .passes initParam: (none) performParam: (none) trainParam: .epochs, .goal, .lr, .max_fail, .mc, .min_grad, .show, .time weight and bias values:
18.
IW: {3x1 cell}
containing 1 input weight matrix LW: {3x3 cell} containing 2 layer weight matrices b: {3x1 cell} containing 3 bias vectors other: userdata: (user stuff) net = Neural Network object: architecture: numInputs: 1 numLayers: 3 biasConnect: [1; 1; 1] inputConnect: [1; 0; 0] layerConnect: [0 0 0; 1 0 0; 0 1 0] outputConnect: [0 0 1]
19.
targetConnect: [0 0
1] numOutputs: 1 (read-only) numTargets: 1 (read-only) numInputDelays: 0 (read-only) numLayerDelays: 0 (read-only) subobject structures: inputs: {1x1 cell} of inputs layers: {3x1 cell} of layers outputs: {1x3 cell} containing 1 output targets: {1x3 cell} containing 1 target biases: {3x1 cell} containing 3 biases inputWeights: {3x1 cell} containing 1 input weight layerWeights: {3x3 cell} containing 2 layer weights functions: adaptFcn: 'trains' initFcn: 'initlay'
20.
performFcn: 'mse' trainFcn: 'traingdm' parameters: adaptParam:
.passes initParam: (none) performParam: (none) trainParam: .epochs, .goal, .lr, .max_fail, .mc, .min_grad, .show, .time weight and bias values: IW: {3x1 cell} containing 1 input weight matrix LW: {3x3 cell} containing 2 layer weight matrices b: {3x1 cell} containing 3 bias vectors other: userdata: (user stuff)
21.
net = Neural Network
object: architecture: numInputs: 1 numLayers: 3 biasConnect: [1; 1; 1] inputConnect: [1; 0; 0] layerConnect: [0 0 0; 1 0 0; 0 1 0] outputConnect: [0 0 1] targetConnect: [0 0 1] numOutputs: 1 (read-only) numTargets: 1 (read-only) numInputDelays: 0 (read-only) numLayerDelays: 0 (read-only) subobject structures:
22.
inputs: {1x1 cell}
of inputs layers: {3x1 cell} of layers outputs: {1x3 cell} containing 1 output targets: {1x3 cell} containing 1 target biases: {3x1 cell} containing 3 biases inputWeights: {3x1 cell} containing 1 input weight layerWeights: {3x3 cell} containing 2 layer weights functions: adaptFcn: 'trains' initFcn: 'initlay' performFcn: 'mse' trainFcn: 'traingdm' parameters: adaptParam: .passes initParam: (none) performParam: (none)
23.
trainParam: .epochs, .goal,
.lr, .max_fail, .mc, .min_grad, .show, .time weight and bias values: IW: {3x1 cell} containing 1 input weight matrix LW: {3x3 cell} containing 2 layer weight matrices b: {3x1 cell} containing 3 bias vectors other: userdata: (user stuff) TRAINGDM, Epoch 0/2500, MSE 1.31351/0.01, Gradient 1.6224/1e-010 TRAINGDM, Epoch 33/2500, MSE 0.00848079/0.01, Gradient 0.145523/1e-010 TRAINGDM, Performance goal met. a = 0.0459 0.1530 0.3850 0.6065 0.6741 0.7870 0.9007 0.9465
24.
H = 1.0000 0
0.0459 -0.0459 2.0000 0.2000 0.1530 0.0470 3.0000 0.4000 0.3850 0.0150 4.0000 0.6000 0.6065 -0.0065 5.0000 0.7000 0.6741 0.0259 6.0000 0.8000 0.7870 0.0130 7.0000 0.9000 0.9007 -0.0007 8.0000 1.0000 0.9465 0.0535 ans = 1 0.00 0.05 -0.05 2 0.20 0.15 0.05 3 0.40 0.39 0.01 4 0.60 0.61 -0.01 5 0.70 0.67 0.03
25.
6 0.80 0.79
0.01 7 0.90 0.90 -0.00 8 1.00 0.95 0.05 m1 = 0.9594 a1 = 0.0107 r1 = 0.9965
26.
Datauji = Columns 1
through 15 1.0000 1.0000 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 1.0000 1.0000 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 0 0 0 0 0 Columns 16 through 30 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 0 0 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
27.
0 0 0
0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 31 through 33 0 0 0 0 0 0.2000 0 0 0.4000 0 0 0.6000 0 0 0.7000 0 0 0.8000 1.0000 0 0.9000 1.0000 1.0000 1.0000 Q = 1 1 1 0 0 1 0 0 1 1 0 0 0 1 1 1 1 0 0 0 1 1 0 0 0 1 1 0 0 1 0 0
28.
1 0 0
0 0 1 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0
29.
0 0 0
1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 TQ = 0 0.2000 0.4000 0.6000 0.7000 0.8000 0.9000 1.0000 bn = -1.5139 -1.2075 -0.5435 0.0901 0.2834 0.6066 0.9318 1.0630 b =
30.
0.0459 0.1530 0.3850
0.6065 0.6741 0.7870 0.9007 0.9465 ans = 1 0.00 0.05 7.2f -4.590011e-002 2.00 0.20 7.2f 1.529989e-001 0.05 3.00 7.2f 4.000000e-001 0.39 0.01 7.2f 4 0.60 0.61 7.2f -6.497552e-003 5.00 0.70 7.2f 6.740545e-001 0.03 6.00 7.2f 8.000000e-001 0.79 0.01 7.2f 7 0.90 0.90 7.2f -6.579924e-004 8.00 1.00 7.2f 9.464997e-001 0.05 m2 = 0.9594
31.
b1 = 0.0107 r2 = 0.9965 Data_prediksi
= Columns 1 through 15 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0
32.
1.0000 1.0000 1.0000
0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0
33.
0 0 1.0000
0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 1.0000 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 1.0000 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0
34.
0 0 0
1.0000 0 0 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 1.0000 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 0 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 0 0 1.0000 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 0 0 1.0000 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 1.0000
35.
0 0 1.0000
0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 0 0 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 0 0 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 0 0 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 0 0
36.
0 0 0
0 0 1.0000 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 0 0 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 1.0000 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 0 0 1.0000 1.0000 0 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 0 0 0 1.0000 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 1.0000 1.0000 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 1.0000 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 1.0000 1.0000 0 0 1.0000 0
37.
0 0 1.0000
0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 1.0000 1.0000 0 1.0000 1.0000 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 0 1.0000 1.0000 0 0 1.0000 1.0000 0 0 0 0 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 1.0000 1.0000 1.0000 0 0 0 0 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0
38.
0 1.0000 0
1.0000 1.0000 1.0000 0 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 1.0000 0 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 1.0000 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 0 Columns 16 through 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
39.
0 0 0
0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0
40.
0 0 0
1.0000 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 1.0000 1.0000 0 0 1.0000 0 0 0 1.0000 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 0 0 0 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 1.0000 1.0000 0 0 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0
41.
0 0 1.0000
1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 1.0000 1.0000 0 0 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 1.0000 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 1.0000 1.0000 0 0 0 1.0000 0 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 1.0000 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 0 0 0 1.0000 0 0 0 0 0 1.0000 0 0 1.0000 1.0000 0 1.0000 0 0 0 0 0 0 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 0 0 0 0 1.0000 0 0 0 0 0 0 1.0000 0 0 0 0 0 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 0 0 0 1.0000 1.0000 1.0000 0 1.0000 1.0000 0 0 0 0 0 0 1.0000 0 0 0 1.0000 0 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 0 0 1.0000 0 1.0000 0 0 0 0 0 0 0 0 0 1.0000 0 0 0 0 1.0000 0 1.0000 0 0 1.0000 1.0000 0 0 0 0 1.0000 0 1.0000 1.0000 1.0000 0 0 1.0000 0 0 0 0
42.
0 0 0
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43.
0 0 1.0000
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44.
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66.
-0.5401 -0.5401 -0.5401
-0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 - 0.5401 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 - 0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 1.6202 1.6202 1.6202
67.
-0.3536 -0.3536 -0.3536
-0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 Columns 16 through 30 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 - 0.9354 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 - 1.2076 -0.7246 1.2076 -0.7246 1.2076 -0.7246 1.2076 -0.7246 1.2076 -0.7246 1.2076 -0.7246 1.2076 -0.7246 1.2076 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 - 0.7246 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 - 0.9354 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536
68.
-0.3536 -0.3536 -0.3536
-0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 - 0.5401 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536
69.
2.4749 -0.3536 2.4749
-0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 Columns 31 through 45 -0.9354 0.9354 -0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 0.7246 -1.2076 - 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 1.2076 1.2076 -0.7246 1.2076 -0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 1.6202 -0.5401 1.6202 1.6202 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 1.6202 1.6202 1.6202 1.6202 1.6202 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 1.6202 1.6202 1.6202 1.6202 1.6202 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749
70.
2.4749 -0.3536 2.4749
2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 1.6202 -0.5401 1.6202 -0.5401 -0.5401 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 - 0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 - 0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 - 0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749
71.
-0.3536 -0.3536 2.4749
2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 1.6202 -0.5401 1.6202 1.6202 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 1.6202 1.6202 1.6202 1.6202 1.6202 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 Columns 46 through 60 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 0.9354 0.9354 0.7246 -1.2076 -1.2076 0.7246 -1.2076 -1.2076 -1.2076 0.7246 -1.2076 0.7246 0.7246 -1.2076 0.7246 -1.2076 0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 1.2076 1.2076 1.2076 1.2076 -0.7246 1.2076 1.2076 1.2076 1.2076 1.2076 -0.7246 1.2076 1.2076 -0.7246 1.2076 -0.7246 1.2076 -0.7246 -0.7246 -0.7246 -0.7246 1.2076 -0.7246 -0.7246 0.9354 0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 0.9354 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536
72.
-0.3536 -0.3536 -0.3536
-0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 1.6202 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 - 0.5401 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536
73.
-0.3536 2.4749 -0.3536
-0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 -0.5401 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 -0.5401 1.6202 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 Columns 61 through 75 -0.9354 0.9354 -0.9354 0.9354 0.9354 -0.9354 0.9354 0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.7246 -1.2076 -1.2076 0.7246 -1.2076 -1.2076 0.7246 -1.2076 -1.2076 0.7246 0.7246 -1.2076 -1.2076 -1.2076 -1.2076 -0.7246 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 - 0.7246 0.9354 -0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 1.6202 1.6202 1.6202 1.6202 -0.5401 1.6202 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 2.4749 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536
74.
-0.3536 -0.3536 -0.3536
-0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 1.6202 1.6202 1.6202 2.4749 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 2.4749 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536
75.
-0.3536 -0.3536 -0.3536
-0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 1.6202 -0.5401 1.6202 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 Columns 76 through 90 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 - 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 -0.7246 1.2076 -0.7246 1.2076 -0.7246 1.2076 -0.7246 1.2076 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 - 0.7246 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.5401 1.6202 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749
76.
2.4749 2.4749 2.4749
2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 1.6202 1.6202 1.6202 1.6202 1.6202 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536
77.
-0.3536 -0.3536 -0.3536
-0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 - 0.5401 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 Columns 91 through 105 0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 0.9354 0.9354 -1.2076 -1.2076 -1.2076 0.7246 0.7246 -1.2076 -1.2076 0.7246 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 0.7246 1.2076 -0.7246 1.2076 -0.7246 -0.7246 -0.7246 1.2076 1.2076 -0.7246 1.2076 -0.7246 -0.7246 -0.7246 1.2076 1.2076 -0.7246 -0.7246 -0.7246 -0.7246 1.2076 1.2076 -0.7246 1.2076 -0.7246 -0.7246 -0.7246 1.2076 -0.7246 -0.7246 1.2076 0.9354 -0.9354 0.9354 0.9354 0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 1.6202 -0.5401 - 0.5401 -0.5401 1.6202 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 -0.5401 1.6202 -0.5401 1.6202 1.6202 -0.5401 -0.5401 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536
78.
2.4749 2.4749 2.4749
-0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 - 0.3536 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 - 0.5401 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 - 0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 - 0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536
79.
-0.3536 -0.3536 -0.3536
-0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 - 0.3536 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 1.6202 -0.5401 1.6202 1.6202 -0.5401 -0.5401 2.4749 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 Columns 106 through 120 -0.9354 0.9354 0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.7246 -1.2076 -1.2076 -1.2076 -1.2076 -1.2076 0.7246 -1.2076 -1.2076 -1.2076 0.7246 -1.2076 0.7246 -1.2076 0.7246 1.2076 1.2076 1.2076 1.2076 -0.7246 1.2076 1.2076 -0.7246 -0.7246 1.2076 1.2076 1.2076 1.2076 1.2076 -0.7246 1.2076 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 -0.7246 1.2076 -0.7246 -0.7246 1.2076 -0.7246 -0.7246 -0.7246 - 0.7246 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 0.9354 -0.9354 0.9354 0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 - 0.5401 1.6202 -0.5401 -0.5401 -0.5401 1.6202 1.6202 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536
80.
-0.3536 -0.3536 -0.3536
-0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 - 0.5401 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536
81.
-0.3536 -0.3536 -0.3536
-0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 1.6202 -0.5401 -0.5401 -0.5401 1.6202 1.6202 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 Columns 121 through 135 -0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 0.9354 -1.2076 0.7246 0.7246 -1.2076 -1.2076 0.7246 0.7246 0.7246 0.7246 -1.2076 0.7246 0.7246 -1.2076 -1.2076 -1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 -0.7246 -0.7246 1.2076 1.2076 1.2076 1.2076 -0.7246 1.2076 1.2076 1.2076 1.2076 -0.7246 -0.7246 1.2076 1.2076 -0.7246 -0.7246 1.2076 -0.7246 1.2076 1.2076 1.2076 1.2076 -0.7246 -0.7246 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 0.9354 0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 - 0.5401 1.6202 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536
82.
2.4749 -0.3536 -0.3536
-0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 - 0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 - 0.5401 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536
83.
2.4749 2.4749 2.4749
2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 2.4749 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 - 0.3536 1.6202 -0.5401 -0.5401 1.6202 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 - 0.3536 Columns 136 through 148 0.9354 0.9354 -0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.9354 0.7246 -1.2076 0.7246 0.7246 0.7246 0.7246 0.7246 0.7246 0.7246 0.7246 0.7246 0.7246 0.7246 1.2076 1.2076 -0.7246 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 1.2076 -0.7246 -0.7246 -0.7246 1.2076 -0.7246 -0.7246 1.2076 -0.7246 -0.7246 1.2076 -0.7246 -0.7246 1.2076 -0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 -0.9354 0.9354 -0.9354 0.9354 0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.9354 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401
84.
-0.3536 -0.3536 2.4749
-0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 2.4749 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 2.4749 -0.3536 2.4749 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 2.4749 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536
85.
-0.3536 -0.3536 2.4749
-0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.5401 -0.5401 1.6202 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.5401 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 -0.3536 Bs = Columns 1 through 15 -1.2075 -0.8767 -0.8767 -0.8767 -0.8767 -0.8767 -0.8767 -0.8767 -0.8767 -0.8767 -0.8767 0.2657 0.4322 0.2657 0.4322 Columns 16 through 30 0.2657 0.4322 0.2657 0.4322 0.2657 0.4322 0.2657 0.4322 0.2657 0.4322 0.2657 0.4322 0.2657 0.4322 0.2657 Columns 31 through 45 0.4322 0.7592 0.0161 0.0161 -0.0076 0.7592 0.0161 0.0161 -0.0076 0.7592 0.0161 -0.4877 0.5560 -0.0369 -0.4877 Columns 46 through 60
86.
0.5560 -0.0369 -0.4877
0.5560 -0.0369 -0.4877 0.2638 -0.6314 -0.7345 0.3417 -1.1356 0.2638 -0.6314 -0.7345 0.3417 Columns 61 through 75 -1.1356 -1.2547 0.0886 -0.4773 -1.2547 0.0886 -0.4773 -1.2547 0.0886 -0.4773 -0.4773 0.3567 0.3567 0.3567 0.3567 Columns 76 through 90 0.3567 0.3567 0.3567 0.3567 0.3567 0.3567 0.5654 -0.0076 0.5654 -0.0076 0.5654 -0.0076 0.5654 -0.0076 0.5654 Columns 91 through 105 -0.0076 0.5654 -0.0076 -1.1236 -0.8217 -1.1014 -1.1342 -0.6314 0.8833 0.0886 0.1850 0.4173 -0.2722 -0.8520 -1.0552 Columns 106 through 120 0.3198 -1.1836 -1.1006 -0.8520 0.5345 -0.3752 0.4119 -1.1014 0.0283 -0.7345 -0.6314 -1.1836 -1.2056 -0.8520 -1.1236 Columns 121 through 135 -0.0761 -1.2378 -0.7592 0.9177 0.1394 -1.1236 -0.9397 -1.0552 -1.2315 0.4639 -1.1684 0.3174 -1.3442 -1.1836 -1.1006
87.
Columns 136 through
148 -1.2315 -0.2942 0.0377 -1.0376 -1.2315 -1.2315 -1.0376 -1.2315 -1.2315 -1.0376 -1.2315 -1.2315 -1.0376 BC = Columns 1 through 15 0.1530 0.2686 0.2686 0.2686 0.2686 0.2686 0.2686 0.2686 0.2686 0.2686 0.2686 0.6679 0.7261 0.6679 0.7261 Columns 16 through 30 0.6679 0.7261 0.6679 0.7261 0.6679 0.7261 0.6679 0.7261 0.6679 0.7261 0.6679 0.7261 0.6679 0.7261 0.6679 Columns 31 through 45 0.7261 0.8403 0.5806 0.5806 0.5724 0.8403 0.5806 0.5806 0.5724 0.8403 0.5806 0.4045 0.7693 0.5621 0.4045 Columns 46 through 60
88.
0.7693 0.5621 0.4045
0.7693 0.5621 0.4045 0.6672 0.3543 0.3183 0.6944 0.1781 0.6672 0.3543 0.3183 0.6944 Columns 61 through 75 0.1781 0.1365 0.6060 0.4082 0.1365 0.6060 0.4082 0.1365 0.6060 0.4082 0.4082 0.6997 0.6997 0.6997 0.6997 Columns 76 through 90 0.6997 0.6997 0.6997 0.6997 0.6997 0.6997 0.7726 0.5724 0.7726 0.5724 0.7726 0.5724 0.7726 0.5724 0.7726 Columns 91 through 105 0.5724 0.7726 0.5724 0.1823 0.2878 0.1901 0.1786 0.3543 0.8837 0.6060 0.6397 0.7208 0.4799 0.2772 0.2062 Columns 106 through 120 0.6868 0.1613 0.1904 0.2772 0.7618 0.4439 0.7190 0.1901 0.5849 0.3183 0.3543 0.1613 0.1537 0.2772 0.1823 Columns 121 through 135
89.
0.5484 0.1424 0.3097
0.8957 0.6237 0.1823 0.2466 0.2062 0.1446 0.7371 0.1667 0.6859 0.1052 0.1613 0.1904 Columns 136 through 148 0.1446 0.4722 0.5882 0.2124 0.1446 0.1446 0.2124 0.1446 0.1446 0.2124 0.1446 0.1446 0.2124 V = 1.0000 0 0.1530 -0.1530 2.0000 0 0.2686 -0.2686 3.0000 0 0.2686 -0.2686 4.0000 0 0.2686 -0.2686 5.0000 0 0.2686 -0.2686 6.0000 0 0.2686 -0.2686 7.0000 0 0.2686 -0.2686 8.0000 0 0.2686 -0.2686 9.0000 0 0.2686 -0.2686 10.0000 0 0.2686 -0.2686 11.0000 0 0.2686 -0.2686 12.0000 0 0.6679 -0.6679
90.
13.0000 0 0.7261
-0.7261 14.0000 0 0.6679 -0.6679 15.0000 0 0.7261 -0.7261 16.0000 0 0.6679 -0.6679 17.0000 0 0.7261 -0.7261 18.0000 0 0.6679 -0.6679 19.0000 0 0.7261 -0.7261 20.0000 0 0.6679 -0.6679 21.0000 0 0.7261 -0.7261 22.0000 0 0.6679 -0.6679 23.0000 0 0.7261 -0.7261 24.0000 0 0.6679 -0.6679 25.0000 0 0.7261 -0.7261 26.0000 0 0.6679 -0.6679 27.0000 0 0.7261 -0.7261 28.0000 0 0.6679 -0.6679 29.0000 0 0.7261 -0.7261 30.0000 0 0.6679 -0.6679 31.0000 0 0.7261 -0.7261 32.0000 1.0000 0.8403 0.1597 33.0000 1.0000 0.5806 0.4194
91.
34.0000 1.0000 0.5806
0.4194 35.0000 1.0000 0.5724 0.4276 36.0000 1.0000 0.8403 0.1597 37.0000 1.0000 0.5806 0.4194 38.0000 1.0000 0.5806 0.4194 39.0000 1.0000 0.5724 0.4276 40.0000 1.0000 0.8403 0.1597 41.0000 1.0000 0.5806 0.4194 42.0000 0 0.4045 -0.4045 43.0000 0 0.7693 -0.7693 44.0000 0 0.5621 -0.5621 45.0000 0 0.4045 -0.4045 46.0000 0 0.7693 -0.7693 47.0000 0 0.5621 -0.5621 48.0000 0 0.4045 -0.4045 49.0000 0 0.7693 -0.7693 50.0000 0 0.5621 -0.5621 51.0000 0 0.4045 -0.4045 52.0000 0 0.6672 -0.6672 53.0000 0 0.3543 -0.3543 54.0000 0 0.3183 -0.3183
92.
55.0000 0 0.6944
-0.6944 56.0000 0 0.1781 -0.1781 57.0000 0 0.6672 -0.6672 58.0000 0 0.3543 -0.3543 59.0000 0 0.3183 -0.3183 60.0000 0 0.6944 -0.6944 61.0000 0 0.1781 -0.1781 62.0000 0 0.1365 -0.1365 63.0000 0 0.6060 -0.6060 64.0000 0 0.4082 -0.4082 65.0000 0 0.1365 -0.1365 66.0000 0 0.6060 -0.6060 67.0000 0 0.4082 -0.4082 68.0000 0 0.1365 -0.1365 69.0000 0 0.6060 -0.6060 70.0000 0 0.4082 -0.4082 71.0000 0 0.4082 -0.4082 72.0000 1.0000 0.6997 0.3003 73.0000 1.0000 0.6997 0.3003 74.0000 1.0000 0.6997 0.3003 75.0000 1.0000 0.6997 0.3003
93.
76.0000 1.0000 0.6997
0.3003 77.0000 1.0000 0.6997 0.3003 78.0000 1.0000 0.6997 0.3003 79.0000 1.0000 0.6997 0.3003 80.0000 1.0000 0.6997 0.3003 81.0000 1.0000 0.6997 0.3003 82.0000 1.0000 0.7726 0.2274 83.0000 1.0000 0.5724 0.4276 84.0000 1.0000 0.7726 0.2274 85.0000 1.0000 0.5724 0.4276 86.0000 1.0000 0.7726 0.2274 87.0000 1.0000 0.5724 0.4276 88.0000 1.0000 0.7726 0.2274 89.0000 1.0000 0.5724 0.4276 90.0000 1.0000 0.7726 0.2274 91.0000 1.0000 0.5724 0.4276 92.0000 1.0000 0.7726 0.2274 93.0000 1.0000 0.5724 0.4276 94.0000 0 0.1823 -0.1823 95.0000 0 0.2878 -0.2878 96.0000 0 0.1901 -0.1901
94.
97.0000 1.0000 0.1786
0.8214 98.0000 0 0.3543 -0.3543 99.0000 0 0.8837 -0.8837 100.0000 0 0.6060 -0.6060 101.0000 0 0.6397 -0.6397 102.0000 0 0.7208 -0.7208 103.0000 0 0.4799 -0.4799 104.0000 0 0.2772 -0.2772 105.0000 1.0000 0.2062 0.7938 106.0000 0 0.6868 -0.6868 107.0000 1.0000 0.1613 0.8387 108.0000 0 0.1904 -0.1904 109.0000 0 0.2772 -0.2772 110.0000 0 0.7618 -0.7618 111.0000 1.0000 0.4439 0.5561 112.0000 0 0.7190 -0.7190 113.0000 0 0.1901 -0.1901 114.0000 1.0000 0.5849 0.4151 115.0000 0 0.3183 -0.3183 116.0000 0 0.3543 -0.3543 117.0000 1.0000 0.1613 0.8387
95.
118.0000 0 0.1537
-0.1537 119.0000 0 0.2772 -0.2772 120.0000 0 0.1823 -0.1823 121.0000 0 0.5484 -0.5484 122.0000 0 0.1424 -0.1424 123.0000 0 0.3097 -0.3097 124.0000 0 0.8957 -0.8957 125.0000 1.0000 0.6237 0.3763 126.0000 0 0.1823 -0.1823 127.0000 0 0.2466 -0.2466 128.0000 1.0000 0.2062 0.7938 129.0000 0 0.1446 -0.1446 130.0000 0 0.7371 -0.7371 131.0000 0 0.1667 -0.1667 132.0000 0 0.6859 -0.6859 133.0000 0 0.1052 -0.1052 134.0000 1.0000 0.1613 0.8387 135.0000 0 0.1904 -0.1904 136.0000 0 0.1446 -0.1446 137.0000 1.0000 0.4722 0.5278 138.0000 0 0.5882 -0.5882
96.
139.0000 0 0.2124
-0.2124 140.0000 0 0.1446 -0.1446 141.0000 0 0.1446 -0.1446 142.0000 0 0.2124 -0.2124 143.0000 0 0.1446 -0.1446 144.0000 0 0.1446 -0.1446 145.0000 0 0.2124 -0.2124 146.0000 0 0.1446 -0.1446 147.0000 0 0.1446 -0.1446 148.0000 0 0.2124 -0.2124 diagnosa1 = Columns 1 through 15 0.1530 0.2686 0.2686 0.2686 0.2686 0.2686 0.2686 0.2686 0.2686 0.2686 0.2686 0.6679 0.7261 0.6679 0.7261 Columns 16 through 30 0.6679 0.7261 0.6679 0.7261 0.6679 0.7261 0.6679 0.7261 0.6679 0.7261 0.6679 0.7261 0.6679 0.7261 0.6679
97.
Columns 31 through
45 0.7261 0.8403 0.5806 0.5806 0.5724 0.8403 0.5806 0.5806 0.5724 0.8403 0.5806 0.4045 0.7693 0.5621 0.4045 Columns 46 through 60 0.7693 0.5621 0.4045 0.7693 0.5621 0.4045 0.6672 0.3543 0.3183 0.6944 0.1781 0.6672 0.3543 0.3183 0.6944 Columns 61 through 75 0.1781 0.1365 0.6060 0.4082 0.1365 0.6060 0.4082 0.1365 0.6060 0.4082 0.4082 0.6997 0.6997 0.6997 0.6997 Columns 76 through 90 0.6997 0.6997 0.6997 0.6997 0.6997 0.6997 0.7726 0.5724 0.7726 0.5724 0.7726 0.5724 0.7726 0.5724 0.7726 Columns 91 through 105 0.5724 0.7726 0.5724 0.1823 0.2878 0.1901 0.1786 0.3543 0.8837 0.6060 0.6397 0.7208 0.4799 0.2772 0.2062
98.
Columns 106 through
120 0.6868 0.1613 0.1904 0.2772 0.7618 0.4439 0.7190 0.1901 0.5849 0.3183 0.3543 0.1613 0.1537 0.2772 0.1823 Columns 121 through 135 0.5484 0.1424 0.3097 0.8957 0.6237 0.1823 0.2466 0.2062 0.1446 0.7371 0.1667 0.6859 0.1052 0.1613 0.1904 Columns 136 through 148 0.1446 0.4722 0.5882 0.2124 0.1446 0.1446 0.2124 0.1446 0.1446 0.2124 0.1446 0.1446 0.2124
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