diff --git a/Readme.md b/Readme.md
index e70abaa..e8bf5bc 100644
--- a/Readme.md
+++ b/Readme.md
@@ -1,4 +1,3 @@
-
# Qikify
Qikify is an MVC framework for adaptive test and semiconductor data analysis
@@ -43,6 +42,7 @@ TODO: Need example demonstrating usage.
The following are the major project contributors.
* Nate Kupp ([natekupp](https://github.com/natekupp))
+ * Abhishek Basu([abhishekingithub](https://github.com/abhishekingithub))
## License
diff --git a/algorithm_implmentation/dataset.txt b/algorithm_implmentation/dataset.txt
new file mode 100644
index 0000000..7c08d31
--- /dev/null
+++ b/algorithm_implmentation/dataset.txt
@@ -0,0 +1,12 @@
+42.8 40.0 37
+63.5 93.5 50
+37.5 35.5 34
+39.5 30.0 36
+45.5 52.0 43
+38.5 17.0 28
+43.0 38.5 37
+22.5 8.5 20
+37.0 33.0 34
+23.5 9.5 30
+33.0 21.0 38
+58.0 79.0 47
diff --git a/algorithm_implmentation/linearregression_gradientdescentmodel.py b/algorithm_implmentation/linearregression_gradientdescentmodel.py
new file mode 100644
index 0000000..0e3fc0f
--- /dev/null
+++ b/algorithm_implmentation/linearregression_gradientdescentmodel.py
@@ -0,0 +1,122 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+class linearregression_gradientdescentmodel(object):
+ def __init__(self):
+ self.chip_theta = []
+ self.chip_targetvalues = []
+ self.sumofx_i=0
+ self.alpha=1e-6
+ self.m=0
+ #self.rows=list()
+ #self.thetas=list()
+ self.estimated_theta=list()
+ #self.inittheta0=0
+ self.no_features=0
+ self.feature_matrix=[[]]
+ self.int_feature_matrix=[[]]
+ self.sum=0
+ self.n1=list()
+ self.n2=list()
+
+ def form_hypothesis(self):
+ init_thetas=list()
+ datafile = open("dataset.txt",'r')
+ for line in datafile:
+ line=line.split("\n")[0]
+ self.m+=1
+ featurelist=line.split(' ')
+ self.no_features=len(featurelist)
+
+ print "featurelength %i" %self.no_features
+ if self.m==1:
+ self.feature_matrix[0]=featurelist
+ else:
+ self.feature_matrix.append(featurelist)
+ print self.feature_matrix
+ print self.m
+ featurelength=len(featurelist)
+ self.int_feature_matrix=np.array(self.feature_matrix,dtype=float)
+ #self.sum_y=self.calculate_sum_colomn(self.int_feature_matrix,len(featurelist)-1)
+ for j in range(0,len(featurelist)):
+ random_theta=np.random.random()
+ self.estimated_theta.append(random_theta)
+
+ for n in range(0,1000):
+ #coloumn_list=list()
+ sum_coloumn=list()
+ # hypo_sum=0
+ # linear_sum=0
+ # calsum=0
+ # iteration=0
+
+ for j in range(0,len(featurelist)):
+ hypo_sum=0
+ linear_sum=0
+ calsum=0
+ diff=0
+ for y in range(0,self.m):
+ #if y==0:
+ value_x=list()
+ for x in range(0,len(featurelist)):
+ hypo_sum=self.calculate_sum(calsum,self.estimated_theta,self.int_feature_matrix,y,x)
+ #coloumn_list+str(x)=list()
+ #coloumn_list+str(x)=self.int_feature_matrix[:,x]
+ diff+=pow(hypo_sum-self.int_feature_matrix[y][featurelength-1],2)
+ #print 'cost value'
+ #print cost
+ #print 1/float(self.m)
+ if j==0:
+ linear_sum+=(hypo_sum-self.int_feature_matrix[y][featurelength-1])
+ else:
+ #name=coloumn_list+str(j)
+ #print name
+ linear_sum+=(hypo_sum-self.int_feature_matrix[y][featurelength-1])*self.int_feature_matrix[y][j]
+ #print self.int_feature_matrix[y][featurelength-1]
+ sum_coloumn.append(linear_sum)
+ cost=(1/float(2*self.m))*diff
+ print 'cost value..........'
+ print cost
+ self.n1.append(n)
+ self.n2.append(cost)
+ costlength=len(self.n2)
+ n3=self.n2[costlength-2]
+ #print n3
+ if costlength>1 and cost>n3:
+ #val=self.alpha
+ self.alpha=self.alpha/float(10)
+ #plt.show()
+ #print linear_sum
+ for k in range(0,featurelength):
+ temp=self.estimated_theta[k]-self.alpha*(1/float(self.m))*sum_coloumn[k]
+ self.estimated_theta.remove(self.estimated_theta[k])
+ self.estimated_theta.insert(k,temp)
+
+ print self.estimated_theta
+ plt.plot(self.n1,self.n2)
+ plt.show()
+ def calculate_sum(self,hypo_sum,thetas,feature_matrix,y,x):
+ if x==0:
+ #sum=0
+ hypo_sum=thetas[x]
+ #htheta=htheta+thetas[x+1]*float(feature_matrix[y][x])
+ else:
+ #print "y value %f"%feature_matrix[y][featurelength-1]
+ hypo_sum+=thetas[x]*self.int_feature_matrix[y][x-1]
+ #rows.append(featurelist[x])
+ return hypo_sum
+
+ def calculate_sum_colomn(self,matrix,i):
+ #sumofx=0
+ coloumn_list=list()
+ print 'in sum............'
+ print i
+ #for i in range (0,self.m-1):
+ #import pdb; pdb.set_trace()
+ #import pdb; pdb.set_trace()
+ coloumn_list=matrix[:,i]
+ return np.sum(np.array(coloumn_list))
+
+if __name__ == "__main__":
+ l_reg=linearregression_gradientdescentmodel()
+ l_reg.form_hypothesis()
\ No newline at end of file
diff --git a/qikify/models/test_knn.py b/qikify/models/test_knn.py
new file mode 100644
index 0000000..6b00c30
--- /dev/null
+++ b/qikify/models/test_knn.py
@@ -0,0 +1,14 @@
+from qikify.models.KNNImplementation import KNNImplementation
+from qikify.models import Chip
+def test_knn():
+ knn=KNNImplementation()
+ chip_data1={'ORB_a':1,'ORB_b':1,'gnd':1}
+ chip_data2={'ORB_a':-1,'ORB_b':-1,'gnd':-1}
+ chip1=Chip(chip_data1,LCT_prefix='ORB')
+ chip2=Chip(chip_data2,LCT_prefix='ORB')
+ chips=[chip1,chip2]
+ print "hi"
+ knn.trainmodel(chips)
+
+if __name__ == "__main__":
+ test_knn()
\ No newline at end of file
diff --git a/tutorial pages/New Text Document.txt b/tutorial pages/New Text Document.txt
new file mode 100644
index 0000000..e498e2c
--- /dev/null
+++ b/tutorial pages/New Text Document.txt
@@ -0,0 +1,418 @@
+
+
+
+
+
+MVC Architecture for Improving Efficiency Of Alternative RF Tests
+
+
+
+
+
+
+
+
+
+Running MVC Architecture
+
+ |
+
+
+
diff --git a/tutorial pages/advisor.html b/tutorial pages/advisor.html
new file mode 100644
index 0000000..8f69526
--- /dev/null
+++ b/tutorial pages/advisor.html
@@ -0,0 +1,418 @@
+
+
+
+
+
+MVC Architecture for Improving Efficiency Of Alternative RF Tests
+
+
+
+
+
+
+
+
+
+Professor (Dr.) Yiorgis Makris
+
+ |
+
+
+
diff --git a/tutorial pages/contributors_student.html b/tutorial pages/contributors_student.html
new file mode 100644
index 0000000..31134fb
--- /dev/null
+++ b/tutorial pages/contributors_student.html
@@ -0,0 +1,425 @@
+
+
+
+
+
+MVC Architecture
+
+
+
+
+
+
+
+
+The following are the major project contributors
+
+ |
+
+
+
diff --git a/tutorial pages/controller.html b/tutorial pages/controller.html
new file mode 100644
index 0000000..4043a6d
--- /dev/null
+++ b/tutorial pages/controller.html
@@ -0,0 +1,420 @@
+
+
+
+
+
+MVC Architecture
+
+
+
+
+
+
+
+
+
+Lastly, the controller component of the MVC architecture combines models and input from the user (via the views), and uses these inputs to perform actions on the data encapsulated in the models. We expect that specific analysis tasks can live in the MVC system as applications; with sufficient development effort and attention from industry, we hope this could develop into a complete application ecosystem, with application-specific controller modules broadly available for use. Given this ecosystem of modular controller applications, custom analysis tasks can be realized with dramatically lower complexity by simply wiring together the appropriate controllers with custom code. At the same time, the test engineer’s full control over the analysis is not sacrificed: all controllers can act as super-classes for user code allowing for complete customizability and overriding of default behaviors, if required. For example, consider the support vector machine controller developed in the experimental demonstration. Because application-specific code is pushed into the models, the SVM controller is sufficiently abstracted to suit a broad range of applications. On the other hand, implementing a subclass is always possible if a particular application requires a unique SVM implementation.
+
+
+A large number of controllers are provided with the Qikify framework. These controllers aim to provide simple APIs, usually defining a standard controller.run() method.
+
+ |
+
+
+
diff --git a/tutorial pages/images/2011-VTS-SummaryFigure.ai b/tutorial pages/images/2011-VTS-SummaryFigure.ai
new file mode 100644
index 0000000..ebf286b
--- /dev/null
+++ b/tutorial pages/images/2011-VTS-SummaryFigure.ai
@@ -0,0 +1,23908 @@
+%PDF-1.5
%âăĎÓ
+1 0 obj
<>/OCGs[10 0 R 134 0 R 257 0 R 395 0 R 533 0 R 671 0 R 809 0 R]>>/Pages 3 0 R/Type/Catalog>>
endobj
2 0 obj
<>stream
+
+
+
+
+ application/pdf
+
+
+ SummaryFigure
+
+
+
+
+ 2011-10-22T16:40:41-05:00
+ 2011-10-22T16:40:41-05:00
+ 2011-10-21T18:19:36-05:00
+ Adobe Illustrator CS5
+
+
+
+ 256
+ 112
+ JPEG
+ /9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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+
+
+
+
+
+ uuid:78c36f3a-2de1-224a-8fc0-79230b9c92ba
+ xmp.did:F77F1174072068118A6DAB7156D61BC3
+ uuid:5D20892493BFDB11914A8590D31508C8
+ proof:pdf
+
+ uuid:d047cc50-7e79-5e49-ac5c-a865f4744331
+ xmp.did:FD7F1174072068118C14A01FED1FD7BE
+ uuid:5D20892493BFDB11914A8590D31508C8
+ proof:pdf
+
+
+
+
+ saved
+ xmp.iid:FD7F1174072068118C14A01FED1FD7BE
+ 2011-04-16T19:15:46-04:00
+ Adobe Illustrator CS5
+ /
+
+
+ saved
+ xmp.iid:F77F1174072068118A6DAB7156D61BC3
+ 2011-10-21T18:19:31-05:00
+ Adobe Illustrator CS5
+ /
+
+
+
+
+
+ Document
+ Print
+
+
+ False
+ True
+ 1
+
+ 481.000000
+ 225.000000
+ Points
+
+
+
+
+ MyriadPro-Bold
+ Myriad Pro
+ Bold
+ Open Type
+ OTF 1.006;PS 001.000;Core 1.0.23;hotunix 1.28
+ False
+ MyriadPro-Bold.otf
+
+
+ MyriadPro-Regular
+ Myriad Pro
+ Regular
+ Open Type
+ OTF 1.006;PS 001.000;Core 1.0.23;hotunix 1.28
+ False
+ MyriadPro-Regular.otf
+
+
+ MyriadPro-Light
+ Myriad Pro
+ Light
+ Open Type
+ OTF 1.006;PS 001.000;Core 1.0.23;hotunix 1.28
+ False
+ MyriadPro-Light.otf
+
+
+ TimesNewRomanPS-ItalicMT
+ Times New Roman
+ Italic
+ Open Type
+ Version 5.05
+ False
+ Times New Roman Italic.ttf
+
+
+
+
+
+ Cyan
+ Magenta
+ Yellow
+ Black
+
+
+
+
+
+ Default Swatch Group
+ 0
+
+
+
+ White
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 0.000000
+
+
+ Black
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 100.000000
+
+
+ CMYK Red
+ CMYK
+ PROCESS
+ 0.000000
+ 100.000000
+ 100.000000
+ 0.000000
+
+
+ CMYK Yellow
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 100.000000
+ 0.000000
+
+
+ CMYK Green
+ CMYK
+ PROCESS
+ 100.000000
+ 0.000000
+ 100.000000
+ 0.000000
+
+
+ CMYK Cyan
+ CMYK
+ PROCESS
+ 100.000000
+ 0.000000
+ 0.000000
+ 0.000000
+
+
+ CMYK Blue
+ CMYK
+ PROCESS
+ 100.000000
+ 100.000000
+ 0.000000
+ 0.000000
+
+
+ CMYK Magenta
+ CMYK
+ PROCESS
+ 0.000000
+ 100.000000
+ 0.000000
+ 0.000000
+
+
+ C=15 M=100 Y=90 K=10
+ CMYK
+ PROCESS
+ 14.999998
+ 100.000000
+ 90.000000
+ 10.000002
+
+
+ C=0 M=90 Y=85 K=0
+ CMYK
+ PROCESS
+ 0.000000
+ 90.000000
+ 85.000000
+ 0.000000
+
+
+ C=0 M=80 Y=95 K=0
+ CMYK
+ PROCESS
+ 0.000000
+ 80.000000
+ 95.000000
+ 0.000000
+
+
+ C=0 M=50 Y=100 K=0
+ CMYK
+ PROCESS
+ 0.000000
+ 50.000000
+ 100.000000
+ 0.000000
+
+
+ C=0 M=35 Y=85 K=0
+ CMYK
+ PROCESS
+ 0.000000
+ 35.000004
+ 85.000000
+ 0.000000
+
+
+ C=5 M=0 Y=90 K=0
+ CMYK
+ PROCESS
+ 5.000001
+ 0.000000
+ 90.000000
+ 0.000000
+
+
+ C=20 M=0 Y=100 K=0
+ CMYK
+ PROCESS
+ 19.999998
+ 0.000000
+ 100.000000
+ 0.000000
+
+
+ C=50 M=0 Y=100 K=0
+ CMYK
+ PROCESS
+ 50.000000
+ 0.000000
+ 100.000000
+ 0.000000
+
+
+ C=75 M=0 Y=100 K=0
+ CMYK
+ PROCESS
+ 75.000000
+ 0.000000
+ 100.000000
+ 0.000000
+
+
+ C=85 M=10 Y=100 K=10
+ CMYK
+ PROCESS
+ 85.000000
+ 10.000002
+ 100.000000
+ 10.000002
+
+
+ C=90 M=30 Y=95 K=30
+ CMYK
+ PROCESS
+ 90.000000
+ 30.000002
+ 95.000000
+ 30.000002
+
+
+ C=75 M=0 Y=75 K=0
+ CMYK
+ PROCESS
+ 75.000000
+ 0.000000
+ 75.000000
+ 0.000000
+
+
+ C=80 M=10 Y=45 K=0
+ CMYK
+ PROCESS
+ 80.000000
+ 10.000002
+ 45.000000
+ 0.000000
+
+
+ C=70 M=15 Y=0 K=0
+ CMYK
+ PROCESS
+ 70.000000
+ 14.999998
+ 0.000000
+ 0.000000
+
+
+ C=85 M=50 Y=0 K=0
+ CMYK
+ PROCESS
+ 85.000000
+ 50.000000
+ 0.000000
+ 0.000000
+
+
+ C=100 M=95 Y=5 K=0
+ CMYK
+ PROCESS
+ 100.000000
+ 95.000000
+ 5.000001
+ 0.000000
+
+
+ C=100 M=100 Y=25 K=25
+ CMYK
+ PROCESS
+ 100.000000
+ 100.000000
+ 25.000000
+ 25.000000
+
+
+ C=75 M=100 Y=0 K=0
+ CMYK
+ PROCESS
+ 75.000000
+ 100.000000
+ 0.000000
+ 0.000000
+
+
+ C=50 M=100 Y=0 K=0
+ CMYK
+ PROCESS
+ 50.000000
+ 100.000000
+ 0.000000
+ 0.000000
+
+
+ C=35 M=100 Y=35 K=10
+ CMYK
+ PROCESS
+ 35.000004
+ 100.000000
+ 35.000004
+ 10.000002
+
+
+ C=10 M=100 Y=50 K=0
+ CMYK
+ PROCESS
+ 10.000002
+ 100.000000
+ 50.000000
+ 0.000000
+
+
+ C=0 M=95 Y=20 K=0
+ CMYK
+ PROCESS
+ 0.000000
+ 95.000000
+ 19.999998
+ 0.000000
+
+
+ C=25 M=25 Y=40 K=0
+ CMYK
+ PROCESS
+ 25.000000
+ 25.000000
+ 39.999996
+ 0.000000
+
+
+ C=40 M=45 Y=50 K=5
+ CMYK
+ PROCESS
+ 39.999996
+ 45.000000
+ 50.000000
+ 5.000001
+
+
+ C=50 M=50 Y=60 K=25
+ CMYK
+ PROCESS
+ 50.000000
+ 50.000000
+ 60.000004
+ 25.000000
+
+
+ C=55 M=60 Y=65 K=40
+ CMYK
+ PROCESS
+ 55.000000
+ 60.000004
+ 65.000000
+ 39.999996
+
+
+ C=25 M=40 Y=65 K=0
+ CMYK
+ PROCESS
+ 25.000000
+ 39.999996
+ 65.000000
+ 0.000000
+
+
+ C=30 M=50 Y=75 K=10
+ CMYK
+ PROCESS
+ 30.000002
+ 50.000000
+ 75.000000
+ 10.000002
+
+
+ C=35 M=60 Y=80 K=25
+ CMYK
+ PROCESS
+ 35.000004
+ 60.000004
+ 80.000000
+ 25.000000
+
+
+ C=40 M=65 Y=90 K=35
+ CMYK
+ PROCESS
+ 39.999996
+ 65.000000
+ 90.000000
+ 35.000004
+
+
+ C=40 M=70 Y=100 K=50
+ CMYK
+ PROCESS
+ 39.999996
+ 70.000000
+ 100.000000
+ 50.000000
+
+
+ C=50 M=70 Y=80 K=70
+ CMYK
+ PROCESS
+ 50.000000
+ 70.000000
+ 80.000000
+ 70.000000
+
+
+
+
+
+ Grays
+ 1
+
+
+
+ C=0 M=0 Y=0 K=100
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 100.000000
+
+
+ C=0 M=0 Y=0 K=90
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 89.999405
+
+
+ C=0 M=0 Y=0 K=80
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 79.998795
+
+
+ C=0 M=0 Y=0 K=70
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 69.999702
+
+
+ C=0 M=0 Y=0 K=60
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 59.999104
+
+
+ C=0 M=0 Y=0 K=50
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 50.000000
+
+
+ C=0 M=0 Y=0 K=40
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 39.999401
+
+
+ C=0 M=0 Y=0 K=30
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 29.998802
+
+
+ C=0 M=0 Y=0 K=20
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 19.999701
+
+
+ C=0 M=0 Y=0 K=10
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 9.999103
+
+
+ C=0 M=0 Y=0 K=5
+ CMYK
+ PROCESS
+ 0.000000
+ 0.000000
+ 0.000000
+ 4.998803
+
+
+
+
+
+ Brights
+ 1
+
+
+
+ C=0 M=100 Y=100 K=0
+ CMYK
+ PROCESS
+ 0.000000
+ 100.000000
+ 100.000000
+ 0.000000
+
+
+ C=0 M=75 Y=100 K=0
+ CMYK
+ PROCESS
+ 0.000000
+ 75.000000
+ 100.000000
+ 0.000000
+
+
+ C=0 M=10 Y=95 K=0
+ CMYK
+ PROCESS
+ 0.000000
+ 10.000002
+ 95.000000
+ 0.000000
+
+
+ C=85 M=10 Y=100 K=0
+ CMYK
+ PROCESS
+ 85.000000
+ 10.000002
+ 100.000000
+ 0.000000
+
+
+ C=100 M=90 Y=0 K=0
+ CMYK
+ PROCESS
+ 100.000000
+ 90.000000
+ 0.000000
+ 0.000000
+
+
+ C=60 M=90 Y=0 K=0
+ CMYK
+ PROCESS
+ 60.000004
+ 90.000000
+ 0.003099
+ 0.003099
+
+
+
+
+
+
+
+
+ Adobe PDF library 9.90
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
endstream
endobj
3 0 obj
<>
endobj
12 0 obj
<>/Resources<>/ExtGState<>/Font<>/ProcSet[/PDF/Text]/Properties<>/Shading<>/XObject<>>>/Thumb 844 0 R/TrimBox[0.0 0.0 481.0 225.0]/Type/Page>>
endobj
811 0 obj
<>stream
+H‰äWŰnÉ}źŻčG* G]}ďWÉ— ŔÚńŠŔŘÁČ–*ŽEüű9§z$‘M1zÖXŞ{ćôT×ĺÔ©Ë÷×ćň—kk®^]›áű`ŤsŃ„"fÍ?~Üż™—×7ÖlŚm˙Ť6ó°Ĺţ[ěyľŃ'b¤ä±ĆŤ“1ŠĎf{?đ ˙żvŁłŐ¬eĚç‡éßvXKrc•«WaL©čcI©=yÄNkŰ`m‘ěJiĐiÇŤ©fót~řĆÓ‡¦5ÎŹ†Mkűx}<;Ü
ź‡Í×7“7Ä›ëwŁůi‚ůĹüßx7ŮÁ'7đɇájÓĄ‰ćČĺFţÁÍÍçAR{!_L
Ł¸`6÷Ăď«ÍE‘ŐíĂćŻwźn/ţľů‹eşt&ř±8WLkÁŤűçO?.Ä®ţůó"¬Úź·ćý»wćz÷éááë߬Ϸ?žNtÓ‰S¨DCd$ËčsXF—‰
cDIâfŽx7F›č˝(~«ĄíÝĆŽžsp‘8|9+07ÄeTC,,äŞVx·±čAQ´ÎD«‚.˝«&ÂŇžŇëËÝ$–¸
+2+¨®¨e9’5,cŔ{`ąşŤÝP§áŢz“ňđŁ>„%`°T4"5)ü`ÝĐ1iŚťły@&„ŻŃD^é jÄ×0Î;näRâµă”Ž¤× öt©e§0ŕÝĽ‘!ˇm đ\ #¸L 4pTńi üáđnĚáů}¸fú|˛ÂýâŘîV#…uűAOąúh.oî¬y¸3Ż?šV[Zĺ©6î)í˛°"˘,Ęż¨Űw ÖĄíD&†8ŤŰp[`Y"{Dę’×1g§Aµ5b\3+ř‹F©ôa*qňÍOhA07ŠŃşąôn.{nF‘UÖő´KĹěő8‚éµ}V<Ç=ŢťjňěíQôvѧOMÁâ…«kĚ-Y˝ËIR+Ůâ„mxÂkî7ÔçóS edéux~|>żĂ^“aňš÷‹qĚ~&
+pµ”—fq`?—ř=¨‡-ýžeU 5A¸q ]›‚ÂJIů4¬ĂȤ^Ä=Š,Ç!÷%5JÝôau˝’’ Ëyą7=Ş4z§,ÄşÓ¸fjÓ«JÇ Â>
+agÇb•Ő+5b…YYQSŞ€,éÝ9{?vš€ęSŠńG:˘N`WEŮ%4©ĄßCrU’TýîÄýP2ub¤w‡y;Á}žť „Ćîďfq2‚š@+^ś/Š-Ş6´Ň9ępH/[#đ|oˇ_
+B†§_^µˇŤ‚
+„qqő‰ĘŁ˘bĘY\‚¨Ő¬°’'¨ÄÇ÷TÎŢŁěEÄc%âs‡“y HIT:d–Eí€gľíâŘ+ý2c©;Ć!Ú!°‰˛˙{Yni Úc3&Ë×ŢR™˙"¤YMĎJŐĹW„Ö{ěçVJoę<ŽŚ¦:ę®GÍĂČ™„†ˇ#ŘŁŘĎ_Ś}J*[bÍsŔc\ž*0 „Ńé—P…‹LĘ%•ĺŔ8‚v%Y:k(¨°ć¤ó•ĎˇĎî3.Ő«¨ŕ‹)ö93ŹĂćÚ —“wËďÇ pĆ…Ré´đ{RU'*ůp~Č9‰¤
íä›‹Ä ´DĺHŘ.joéü±ŤÜvmV=*_?ŹGËŞ«şŮ$=a)$xˇšä, /±”˘ťĺR…€ęśŠńářAGˇÚkţńăv^’wZôYˇBZ
†}µĹ ßÂäRT±G|×aŤ× rŤP żl‡5†„€CC.p;;®ŃŽ Tk´ôo•ŕń>:’&UDHđu)Şx
&ç
+,‚â^Ľ Żăŕ’<ľšŃ4×ěÚFŤŇQîQüë”gÍŰáňíŤ/Ăĺ›{1ŻľM¸,QäMł!†;AQ᮲ßaŠjCožGt;8ÂQĄ4Íí¦#†°ĺ9ňC*\ɵ†ŕ`
<5mŽŞÁCl×QÍcGîÂᥨe†~'Ŕ÷®†¦ć4ÓäVZ8ó6Ú¨IĎčvÚ^Ů’™šXO
ř'EŰj,i&ô;ôDĹÍrë˝ě‰Ň¦„uä;R{i=]‰včwx®][JG>Aɵç‰Î-6?qB·łÓQ6xÄ qMV$;…xŻŚ¶Ę3řŁ¬ŰXä꣹Ľąópg^4Sj ÉS e|»6ú $DŤZäF`şîç\źjn#ÍDÚřÔF¸ü8qJ] ěíAfŐ4v$ŃÖŰ*·Ôę‚']đ„ÉIÝLOÎ@áĐő¬ŚC×ďíđ.(»‡Á]+«*2Ý‚é]·ť§xK^ři:¦/`—śŰEŁ=7ď$”ćR0řqwÜçÚ=ď^ŰbL…ź˝]<;0Mő¦đšOľŕÎŕp‘lKsw)Ë'?ŠBC©ČE–ž°ÔŹ(N_0ÂAD—|«ęň‚!"Â&ŃŹ"/Ŕ!Y˛*®b‹3®Aň`:U`Î/đ©EZb6RjäĄó¦Ő®é´xO}4Â<šY1@RéŁq@śl\ hźŢ«gîčŰ€Łü㏼:tWë”ŘĐŻR ËżŠ‰l%ŕ+©~x|G´w§Í¸âRŤYKˇ"JÍub˝Úß0ĚâźS¶ś$^„ŠËrŽ”:Ô NrlŰ|o©_@˛…‚8¤ůâ
+®2ZËöÔ8˸¨ĚíDŽš}ˇťz-VŻ¸’_@Ą ¦Ů5 _bšTO+`(Ńv‡ ¨N_:ć oaĆE˘QőłęąoĘXš
+JtÎŚ±'$T¶i‘:áh;c¬…ű˛Ę,RíŤ=3”ß‚oZ ďůĺ·ży›[«·RzcĎ Áo‰2–’°‡ťĂaüđ¤7L2JWËď»U6FuvÖ=ÉoXŤáźüőĺŇŰĆ‘Eá=Eo TŻ®ÇÖc'@6Ź¸0ŕ CQl´XJ‚ů÷óť[Ěl˛…Ö첢ŞÔ÷Ö}ßs„j4Ä
ÖäúIw•Zč(Ű—3cçle2ĆQŇKšú|\EˇÂŽĺĄymk"” Í"ţ¸ÔCfcó)ő?–>¤¶šś7®p"çAžuü‡ą\\LŹ±“%`ŃÔŇ'\¤B˝ą—9ëă8/J©Fa¶PĎ-e÷÷śÂrC™ÇΫ‰cȝĪq*řÚ8Q †'şb«?ľÜÍö R×ň
-Ś˝Ó1Ł˝ŘÎ[ŕ¤čQçáŔa€ŔĚý-Đ–µ»Ú’ËÄËhóëşťYĎ!ĐÝč_框=ßł ¬¨R‹ŁŽFŢR˝:‘(ÖÔ–nísWöa4ľ¶Ĺ¬:Q2óöŔ
Ľ;ő+uűę
oĺšwî šj9ýś×G 5hŽ‰EäDˇ^¬ęÁH‹`Há$Ę4ŠZőp<_5¬–‰vąí·ýăľşšm×sűç#Ű?_9Ř sĚĆ‚~>±\Řb‘‹Đ±ż¦‡śăB'}öôç_ŃËčÜBŁ‘»ż¤ŹBmÇFX |d”ţ_>¦ës|¬G>¦çúřzőb·şŢůéĆa÷óĘa˛€jÖ *^ä/»Ź«5“ęű˝¸ßmvżŕ:ŮŘĂî%˙¸ůőîV·RćĘBWŽ”±s\Ł”˝]ł‰~}÷n“ÖŹż}Ůx·ľ6?ěľ3ÍŇúv}łŮćőÝŐ[׏÷ź?ŮŻvł{C÷ďW×ßŢřáýĂęú›Źaxůů°iBěŇ€0ÇÜÄ2 <Ťv0+€ÍS® X$pŻLtÔĹú\MoČßş¬ß˝¶cËŽq©źťˇ(&•„ŽÉ
: ú~Ż‡čŰöU/Ů÷±ŮRÍ`Ŕ†Ł›˝ÝhF\dáëµűXśŘŹA¸VVX^răô¦»‘Sg¦#¨-€ü˝`cť€sNÎČ×(ćÂą±‰‰$űŁÖn$!Ô~m^‰/®¦7¨h‚â”#•O)ZŐ¬ĹV&qVb•¬–MÇä¦ë†-!š‘f‰ĹVlb“c•<ä^“ą‚6ă`đšL4KíčĹę
+PEíTËŕëjzŁpÂ8Zî7 B{Ő5d`N(Ž˛űz–†Ó›˝Ý@xľĘdâŐOîᣖş=jÂ>K¶ý‡ařâÍp}ó!†Wo†CKNÚ‰–$bć5ŕzT÷PŔÉr‘¨×“š›Ö U KW&d
+‹ĂÂŻ
+ »0˙|{ľşo„†2[ś»5ć˛Ü(xĺÓiäý4đţ8î™ÖpGxÚb6Ť.ĄŁi6;M†?† z¦,Żj)ććčĘ‹ˇu¬ă 騞Ęř„[G[QgüĎŮ&ü0Ŧ%v
+ŕ5Ý8˙ŔTşŹŔgxŽ9Ćĺ‚Đ€˘¨#Řj].HMűÚôb"ŘŢOÓĽ`Q»hâŃçPşĺ‚‚µ0 ÖšËeSëA¶JvŁUřčý3©—Ňú¬e,-OC=M,ĺ9QĺŢ÷m<Űm©ĄŁ¨VOĐ–Ë3ٸ$Č®°iÄw9×™l\Ô,}Ś vf‚zÁĹ‘Ćw9öůźT¶«Q
`–kZ.( '¨ŔĽň-Î^ňŃłXm:HęâRJ°vdjdʵ©ŹO2Xü
R°Ë—Ž”K°ř§FÓTpdÚ€huëĂĄÁI[uˇ[=ëă'^ŚWÎŤÍ€TöĎčă$¸ĺ˛!4Ë»#iś·íjYžŤ¬wÄdč’<[jýhžźŹ*OîäÁ1ŽËÓU+9› +«Mź’ŚW5Ť2YÁ™±5\śUĹINp!úĺ¦zˇFşjÔhs¦^zŃńR颗;É‹.wlć|]n¬ŤąÚqáTę)1˛5äTŢ4¨OřH4ű ߌĚI^śr˝™!ĄŤéO
+Ý r;ĽÉuq”ÔB0A_Îlť7š;¶d4.–4ň§âJCŇY†Ç. ¦Ă2‡ě¦¶>ĺ%ëĆ‹‘2*ËY/§'é‹:Ş…a®.Ů
+hObzÂfâzéEGŰŢióž’âSÉ×ƨ<Ńö[ýńĺnżO;lĂř©ş1ă1š¬´a›®EĹDcän=ýPÇ!Şb81ÂÉÝjK{%=
•,ÉîVlÁżÎë·Ř.ŮzvŠ&>¬ŢÚzđ§4á©ý2Ttň‚ü—ŐbźŁ¸‚‹ŕŁ,Ó-†á¨Ůedđ@^Ż^ěV×;˙#ąv?ŻüÁE?D“WĄB@daŘ}\oţóéńĂÝăýíđâÝţݧۻź6»_Vâj¤a÷rővýĎMČëĎżţ¶÷x˙ůÓć‡Ýwö‚?Ľúáč…Ćî/dťŢ®w›4®żlĆő»űO÷źŢ›Ľ‘XS~łŮćőÝŁÝB‰˙ři"†Uú˙îď«ő?öďî˙ÍŘ˝ű"S/úęK¸ŕë6ţíÜą—öţf›ÖżßßŢ=Ě{÷Uç‰w˙’čÝÇĎ›˛ţ}ăÝún8qpýýoŹűű»/zůŐn¶Ju˙ľ—ĺő·7~x˙°şţćc^~>·o TqĆřĄékľj©ŻÉ «TLn¶ŚŠ—ďeBg§7{nÄ}˘ŤhŻ_ćh}Î}ęggcQÎ{Óqz#ü%Š¨ˇRÁwŢZ>‹ČI"6ëäLtÝěí†`řJĹDrjČtJWAh)ŠSSpzÓÉŢŽÂŽ…UĄ 2ňSlĚs‘
+g~Lnöϱtr•#żŠ¸Oç*¬^ĹÜÉ^cV brł_Çâ*ÁT ĎŽAăĎÎ14ÎŤ”쬄śž%_šŚm%‚Ľc¸t#D`!»6Ż„SWÓT0wl” Ż“•ŕQ-H¤ĐĘ$ΖY˛Őr×qzÓuÄĂ
±"CĹS7¶śĚ6.łUĹôF® ű•JAŞ,ěíA<˝~PH+"˝ž˝UĹ䆌4ŇŰ:ś˛ľ1úí”YVęĂęľžĄáôfo7^µů?víÁŠě9>ęŞŰŁfěÓdŰX/Ţ×7âđđaxőf8t夣čĘÜşßěÚ± %4
+=‡Ó:śVˇŮËŽ‘ť!SZ*pLŻ0¶ç˛¬Ü,á.ކšŕ…a)ęlqňzŘŹĽh8ĺÓič5gOCtŁv˘XÜ‘®6µ:ťjţl<ÍnkŃłáŹa˛´=̤*88:ş§(m¦đśŃ@/îĎ™¤ö‡z¤ż•Ž<|€E7ĺ…łVeÚ˘1ć—bbQÜlµ>C0^ůÚô˘Č–÷K)¬ęŤŽŃ„˘Ő“Ë!iĐ&¬őú›ZĎ+('»ŃJ|ôţ‚ÔKi‡fHăňt0×CÓř@°”gDµÂ|źŢÉ»°ÜŇx č|çbžÉĆ%AÖ…Ť#ľËąÎdă’ ÓčěsĽ3Ô.–&âű ŠĎ*Ö3L¬\ÓrÁŚkS‹şťĽŕ#>Űlô}ČÓtĚ—*`˘¶*S5+ŰÔÇ'™©~̆*X硡ďĄX‚Ĺ?5š&‚,Ź’Ťő0˛ôáŇŕd†şP‚žőń/Â6śP*űgôqŕŇ
+Ť[,v…&¬ĺżĚW=ŹäĆÍ÷WL(ÜëîŞţJŰś ŢĚçč¬3 X`˙ŔŻŞš˛ŮÍáfîv9;Ĺú~ďŐýn Ş'ˇ(™nß UŢ‹ZŚp¨·×MC0XUíCPVíŻ,ባh™$Ĺ™Äz>{«˛;Ńäď‡E8
+‡ÔY¨#Ź¸!)ŰQ '>‘$ŘÍ%“gô~7X‘—µ*@Ý2o†Kó9u‰ËŤçpă`řúş^¤ 3€Č‰5Ď,‡@g+ÉŘÍů.EŕÔU…“Ęí! Dr•*Ŕo™LĎ!)VÖkŽ2÷~ŃJą§‚*‰1Ĺ~|.ŃúÚN…ś(ÜĎj0ę ’]vŰŁ“TH
˝^w“¸¦"˛ŇŠxŇŹ‘ai|Ž›©Źő"K +ă®ŇŰ*źÖ™/E49
ĂlF±Fą8ŁâdÔuäç•zŞÉŢ!Z|´üEŻ¤ aÎŘüE~ůĎŻs ßiw99ôJ•mä˝$Ă’ĺúX J*H îâžâdbđlEď€ qŤ2ł~žĹ$ů™•NÜ?
+ú0 SÁ×â㻓7!Sý t—'/ę »č×ńâiDč>F`HTăŇp˝ôVtŹźßľüü·đř×ßľüĺw~üéü
ąálńî;ŁŇE”SŘ™š ł–Í;‰W(ÉÍžş*“Ř>ř7>@m8nß·7č‹đĎ© ?€%ý:°Đ,¤¶Çúćö¨ĺ×í¦X{vëkÜúňo‡3Ę#ń}Î(yrż wŔí™9[©¦Ç‰dlşýÉFbA±Ť!XhŚ¶ŕ1KMpłb|±7zí‰tCËôÖI~%ŚGzŻčH?\ěSűň"ß~Řk{Ď·Őɲzi1Č3%Íűű1|&Ť<›ÜŇü;ŕĎ‚,áîńĎGo ‘ś
+c\L˘íۆf{nîüÎ+$·ś—÷WŮ
+ň=N°iëÎŮ)š¤‹Ľ7ň—ÝÜó˙·‘żĽýôńöĺăCb˙řţćÉň C(Cž÷LXâŹßß~řţő‡Ż!ĺŻ?ţřńŰŰź?¦ŕhpXľg‡płţź$QčOT®ČBůÇoř÷×}ýáß.95¨îxů:öN$™Á¶Ď§¨sV
9ńeχŔ»’˛ŰIA®Ü)U$10Ć+ ˝ŰďĹeż-ć¦ysH"+q®#ůR2Ć|ĎÇuxĽ:Kq}´’¦‰;&á‡Ţ~k¬g\Ľ.T˝?EŁďĂbu¸…%× ć0¤ń[ě¦ÄXV.÷ç
+&ˇpç9ĐÁsLžAddŻ‘†Üđ\ÁÚ
+络ĹUŔÎťěź{-v-ě«+vś7;‰XFťč|(b¨”j<ŢVr8:x;µ—NPIm,޸ŕ|ÖGňRĐVշƲŻÂłŤĂ”Ŕ–®µó±[4f+·”rťć„qcŃ ˛·”iřš‘{h‘Śůý)úÂç K"6
+đ¤+â>ěާyŻvśút/ĘŠJŮü9Ń÷í˛îcŁ)ő3tĆGšäҢźä%ŁáZWÖg?ŘŤą{÷X&!Ă5ć»(„Äc˘˛Lg
+Ô`)Wµ`ß![pŇďC \ć ›[kJG;Ű&0Ú;Ž(/¸kW„ÍN¬:ÝĽ3\„¬ţŔ6á3fµFUďäúôćvŘDÜTl QnŰ”’R&F+yľmÜtrĚ‘0Węňcá<ěöĐ®†’uw1Ťqäoh‡'TřŇăß…;˛ó¶‚9Vşm‡ËĽ!f؇a÷&f%[ť*Ś{×n·rTF?C
+jéqŘw]aŐ|ąüEFx‚hTĐÚďâÖ§Ď{ÍlŔâŁ$ó±V>¨W”*ËA)°2"›«[°\/…a.u.âř#ŢąĽ3Cćż”z€±Lf]8ľË>¸ »\<ő É˙…۲÷ÁŻčL†ÎjĚV]›p‰ËŚ%ŞŕQ<ÓÄSů,6¦&%D-ËQ±>¨hŕ™öž2€ôµ&ÂěR<ÓÄ…5‰2q@óY–ÂÖDz”]FS¶5¨ nĺDz]pµE×4ß[Ý? Çş»},ŁägQż\GĚQ.Ť×RTeŃŚ>Ő6Źu{:łjŤU.‚ă[ćfmcąś;岨`Ź¤_9GŮ‹r¸2ĆŃKnd°Í{ŻtŞĂÍ·{rŁßčj™Vs ëQ ŁŃŇIÄľeîŢcŤSŠ7› Ť§FĹAHćnĚ„ÉŠ¦˘ý8Őw!3nMOF±5÷ÝűÄk
+ĹjŚ›{ĆMéPŔ‹ś¶…LOĺX˝_ëxű¨rÔíóŘĂ#¨'QŽF×'¶9éÝ-JĹď!+bŤ‚”e—R(‡¸c`r1¤KřTŘs5ŮS2Îľ*tµű+9űňüł^}č+ť›·HŞ<
ě”q?\+ÔĘçZ»oZÄ@Ź-b·^v?‰®V¶*Rkiŕ&ëd•KÇţrb,‰K˛ÖîáĐ9QÖX«ÁŚÉe5sŐçßek%㊲2»ýqĹ´¨”´5Áça –ކśóŃĐWz¶řlčRa5LŮq׎4/› ÖäčĘ DÚÜ=3OĎô%Ť§ŤőN—\¦ŁL(üśú]NEýĹZ†QçUíDŮq[¶}űGť.+f+î*ÖćÍt‘‡ÚĘÍ´üs®'×Ă8’bÉpK‚¦ ®épČĺ¶ÁŔ8c,É/ŐĄ0s‡‡sLŠ·č
+ß„.DÉEu$N¤ce†ŠÖŕŮ]ít]
2Ü,Óö«Č‘Ó–!l˝Vń® Bęŕ~|ŕ>-©ś[ąý\˙‚1ëyŇĘĄ ÓĹQ†*#ňat1ds–r)
˝Ă¨‰ ;•MG:Îw»!Ą…ÖŃŢÓń€Yń˙łvÓ5ľŁÝvőUĎ©ç¬F şÂŰ˙ÖÝ4(Ô.€D•MÂÚýô\íĺaRE‡źuĹ:l‚ć—:Ř*[FĂŽF:Ůbq'ëĽwÇqľĹŕ0’D‰t”/: /művoN3C!cNłavsoŹÉm“mýR8bľm–i9,ź&Ĺ~ů [(z
OŠLú—ôb gWY2*~đűäű‰Q,Öiö•;G‚^‹%&oV@Ŕü)ŹWÂ`µŤˇa* öĐŤŞBň%Y]
Bc7ÚŞgŤŹ87ßCFpŤ‚ é~La+fhŮ/YŔî– ˝7ŘčɆ%\šÖfçJ߯!uíl\¬©ĂsřjJbĺç1 ĹńUcä3¬‚ĘŐ!$] _“!tôé`gkÔłá˛NµČ#Ý@Wí¨PAeŰú4U©»|¸3ôŽÄhÄŢ+ęO|2l/ .{¶ýr@Ţ×SÉ%ŁâRĂÝ›ąEŇ®ťÝÝ4ăQjCžűşŘsç•Oc V:˙¶Át[,®Źő.ł±˙¶ęn®zËĄ´i%*y‡ĺěýç±Ü…LvŢ•¶€› Ú=ÓH9lůC”Wçď!K¬:ľ–ÎypLlÍ)ú
Çťť•¨Úbůż&‡m·CFäyN»•ëđ}Óëóˇ™çŐ¶Ň{u-ÔT˘?OÚ‚řäňß gT
pJęOŹm„M…úő®Ř)yžJž_Îyŕ¶7q6g9QÖˇI2ý7ɉ1•É8-ň·ČigĂĐCŚ/n‹ń(x:Vs:˘Ź|=gÖWýPĆćŰŰbe]6©Ľ(îd®–ĄÖÚĄm,t!ďÁ}ĺĄßZŕěămRĄ÷őx _S*˝¦Ô0˝n°nĹ™ő|ë¸!qŐ89ÔŰ„Pg`ř‚«j.&fĄ<Şá‚‹Ć¨”ŽWjWE‚«0)±!®¦7„I0/ZF(ăű¸j»Ž1†rY“’µgő´—M–$)„÷sŠĽ@ä!$8Oo{=çpwp8‘ďM/˛+ŞRÁźdź™”őÂĽľJüÄdčËvaWăô—ş…ö×qËŁłË«…0tx.7€ńr1T7~ŽŰ?“]˘Ë
TcPÝĹaĽˇó=MŁ]ŞČe§`
+ů¤Đn‡Ĺ,NVşě‚}Ďňd*LŢ
ĆěÍE*"-ů¦!Öqfý:OĄ¶˘v5@FHićâŁ'ßt,ť4őŢa‘{N©•·‰[´ě3÷ÉBťŰöřb
+›|NV•źäkc5Âĺ\sŹ›‹ Ć}ËŕÉA-óHÇ 'ŻŚ^VßSNg&öötäŁ+ţ¨b´c§ŽˇÄ•Ţ1xüÖ1\A&DŘgWr™ô¶2“˙ö[×a~ßŕ‘Ą.ňŘ#+2ĂoŚ¨e•™ű’ŃŚőxU…öÁPOUe÷9t–Ýoĺoe‹=/$%w7EUů‹C-––Ů‹Ž/ášpK›ťđh‘ ŚlĺS˛˘Čü™VVů˘›ýŚÓ, ‚ĂAcpŁsRŻTńŮ° ŞÁÁÚöÁ4‹…ă趙}ÝĐO+Áëě¸ú° §ł†Ć<ŐĐÔv×öŠěëú@s4u~Ôű<ň®ôĆg>ťÍY>x±čßé€u ˇĐµ><ŃVu%ě=>IčšÓ>(UzçźłĘÓĘ”Ä: 1/ EŇ+dä»eP|;ăČB\{3
ŃC;×ńP—ĺ>ŇÝÖ(í5Ň<"üĄÝň&đ´ť‘ăš,C•uäý-.–qq-ŞbF˙r’O¨‹<¶š•*ŁË‚¸P†(o3Ŕ‹˙‹ć.÷ŞĆľyŮăt±éŕu·Q;nś ¸ÄłŁĆË7phdiŕx†ĺFLÓ±Yś~á7ç»ŕ2źˇ4Ë*Ž0bŤŚWď]6#ŚÎVĂňFIóĘ›“7čuĽ!?çMŤ7®ţnk>±˙`âFä: °ën‘mÜt5’rń&lgé€ÓkęĚŕEňżąĹÂ#Ş—ihşÔ=Ů
+r¬É)°ńú5Šę¨ŚQÔ~}Nu3§”öÚ¶•Ü2Íç p];×d|Ů4ZmŔJHzFÇé¨eGÁ›‰dSΚĹrvüŔ“_׌Ó1đ᣷µâĹÄ"Żů$Ž%ŤůĆ™Ĺz^şŁE˘ěîQ*ΓŁ—Î9žíXţ˝l3&łŽ nsý-Ň.Ţ©aÉ~4ŕ[eąüBţşě±Ú”WN.ÓYŽj…8—ZAôĎQď
ß!Ţ˙üçřÔrGieśËÔ3ňĹ@˘ŰWŻ<ۀɥ°¶u\ĽĹšž“¶űô7aŐEht9Y ťĽ"7{F«x䵪_.?ři č1µÖ÷ěó\"ÇŠň=đ˙Qůî’iëŕ6´]ämxuC¶‹ŻAOfÖ9Rđ§ĽŢ®$¸gĂr?=sós@U1&“ fô:sYŐĎ(Řóoý†!µöCďi‡‚]IŚtźĹ`jýަ˛Qp2pg3tŰÜ5úpǧąNËżÎycB'7>łęoˇ@ô#čÉŹ&w”¤e Až`hĎZp{a—ş¶î·<Çúu)ŕÎwąľY·ŞHĺŘ—ÍIŻŠę]Śőěk•'T{„ÂţkM¨óöXQŤu bë±L×Pô†[’qđs r'˛®Ă±¬Ő…P]Ăj×ĺIąufH»‹wU1Cřľę¶ÖÂ3ś/x#â˘äĽNŹ|+Ń.WËĐ,Ať‡›%Ŕp¶(Ą´VźĹ]жY?{őĹPĄBW_ź~Ě®«Č+;´ź3ç©ÜȶgDĽë.RwôŮŞŮŐÄŚOGäZX˙ԀѯŚßqŔźzö+Těo€oě—>»Řß>ě—ęiĽ÷aţGMÄřjmgÍŁ%|§đ!1ěĂ_6’’6QJřČłë/]îÄ+Ő~ŤĂˇ.L=4{!ö1tíYKťÜąŃů‹–‘ ęL{l˛ŘŠ9uú=âŕuß}| ě«4ű´;§R!7Ę"Á.ćz÷‚Ź >!ĺeË6ęĄxa*Źu±ł$ň{i‰X=¨*4vťü˘¬tˇßgóbąźąÓsŇńő !Ć?<âHNĄfŁU˙Éśe+řÍ;†áßĆI{ Ú$EvÁäd ŐBŐŐ'ůGSË|ć/7ďî~—X…ű“ĺ2TWŔ
í©§Ń‰=E«>âqşâ„˧&_UČ{3Ť¶,Rzbş“ \ÜŞÄIäý
+O}ąVQ…‰ Ä€űĽŰ:®}šĐiÔÚ;ÁŕůX%µtĂ-LI´"ˇŹ5#Éś:ŐVże4GQuyH;ť^{CłÓ{§”ţO¤ŤIśxŻ‘Ď’o·\Fr[ďQźš~e̵k€F,ýmß$w¦//!&=łOčżxMd˘Ú):ob)ľc)ý˘GÝ´Ď4nšyÎĄ®n´
+^ďg˘R"ľMŤXÎŔOŃź: ÓVf% KŮ]ů; :|RHµ±ÚWU"0–ßÄPľŹëŚ¬ô_¶ťŹ¸
+éißgfŞ\©˛°Ű±KC¸ &ťł>ĚzÉo®»ˇbKşź:Ц»uđébwş[Ç_4ä‘J-ÉéšKţďwTJ¶É¤ç#S©Ł.¤+Ô?—C[6ä+ëkS™ômŰĹuü)9Ţq_SmT˙0/QčÜăŕ»ô‰IŘ7ĎaŚźžűřŮxßŕŰwvŽog5ą[jĽ•!o‹jň6ź‘ňř˛ĘÄPYXߥýl´žVZňp>ŢyÚé-ţÍDÚŽ”]ŢEÖĽ‹×ČJĺ×ŐÖ#üâž8äň" ”€¸˝‹hž8Ĺś·©ŃŐÝ÷ůÇş…ŽxjŹ†~A[´ŃlĐB•3ŚHJ‡’Tďá"ÉŇÇś[vqOŁęyëą1´¤Ó2kÓÉ+±.+˙™@щ>€‚Ľ”sÂÉ„ŮâÝdÜô}ú”‹näĂäBݢ€›y&ť˙ňúę“ëÝ‘ď|rů©>9źŹsb OŔuF*$zφăľá<¶“4ă˛î$Y!ëZ îŽe
+…š_pé.sOâ*“Aî#Ü…Đ›–%˙t1GZ\«ÓéĽFeđŠ˙Ľşć&pĘ[¸š{Ü7'ά7ý>čd4Ᶎ÷¬Aëçhľ˙^}ŽťˇQöą#Ť=ď€Ůí4 «yŹ}€ˇá˛,°=®3u\Ć.)4ÜůËĹ‘´eŇŐ=<§u†Sł`]I!őX1ß==Š4űG§ł>˝óŐ
+‚”áxü#=â{z¤ß,®ŰĽĹÝşQ‡^Ú}ľ^…€ÝéçĄčfňŞÂŞ?KdąŇc8Ż®úLŹQĂc,0Ç{x,Íí›ćÓ%Ôćř`qÚu׌¦NW˝eÉy{,Ć0±SŃ&ăMoJ9M‹¬D}(L<ęK˝KÝî1$šqŽ»-qIZ'r÷ÉNqb0črÉ=¨ćş+…Á©VâPÍŢh6*ďU4hnoN
»[ŽĎ!¬K-ýĆGG˙3?őd±N‹¦ćh5‚Ś˝9u]ě±ćÔ×Ćĺ·ÓÔČZĐňŞ»·ÝŠŐő˘í\mČ÷«…ٲâM*L#Ä;¸Ëô/k áÓQ~E[hćWÎíŽf˝Ut~…rg[JW|TwÔŻ4Sâ±·(†e–y–‘á‰Q•"2ÂćCôQ‡Łçíş(bétPrLq‘ôK‰Ő»za62^\Cn:†ż3\TG‹ĐZ>YťŐŐŤÝ˙ĘČŮz?3ĎÍ2ő†r¦a^tlŰ(W‚5ýćăo,+s^8_h„"W…"7†ąd‘RǬ‹e˛QiŠÄĽ-hćĹÚqtŰĐ“±ă¤áó¸ĄË0´Cca=¸Ţ„Pć°ň wXwŇh.gÔů«tȸ&E w˛ÎUâń®˛Žşm"Wü…çČíy4Ů9…Ónßđ· ć| ÄЦ*#ňŕ2;}v–HkşźP)˛¬Ź(~1“ÓŻ«7®FaŃX˙ăĽJŇ$Ymđţť˘/e@BŔŢź}^xĺĎ÷ßY1@Hú-ş:Ł˛
˙PË6îQE¬i‹Ao1%ŚúĘšwaeŰůđô‰áő°î‹ńŁÜőŇ Čż†e4ÉCĐ+edÍťčjĄ´{µ3ŚűśĆ3ľ‡5J&?x‘hZ…@' #–nłxę˘A¶"™éI:‚ň©Č`(ýi—ý)pľÎ—~/WTZíÚí*jÜŰ5ŚŞ}€é˛€3é-R1Ůâ a:5Ţ`<ĹóŁ‹â'‡ÍĽň±ŇŚ>§đč#[şPÜąXé8‹µgëĎ—K
+jYű‡ű8ÎmŽyl«ĂoßÜĚMÝ•X&śôˇăĚĹSBŁÎ:nĚ;†bw—™˘‘µuGWăx’©w ÷éj›Óuv6µęMWń©¦‚EA‰3«úî
+‰©á>Ś®ĹÚ7™‰l mobĂůfšĎ©p›ILťÎ4¨)BIzQ[ýeSgń¶őŰ–Ě$JĹBXŢ·Í…ç0`“ŁaµÔ‡lńzrŹáńÜç¶űsNł#ĚwGXnű)č2ÂX˙–Şă˛¶&RG/鎬»bXn´ňÚ~P¤;$Z żŹIRއ©ŤĹ˝µ”vk>{Ň óţ÷ďżţńŻ˙ŇŻţozU(€aË:ˇă2±8ú0bĺx{Ş2±ŇŃ
+±ŰśëA ő|Pëó)•ÉHó"Ŕ¸%jJâ•ĺŤĎ×gFÉiź:‚»ň‡x<"ŹŘ'Š. FÁĹë1ÉdóyŁ&Ł|<Şŕćw“śś$–ÉZůzłţ„ MËšŘ O‹ŤŽűaHy5¬{‰KRüˬÉpʬjĺĘśé%s˝2żF˛‘ą1Ak+&Äéδň! sŻĄB>`ÁáhĐO,ř ĽŔĎ·p59đ ¦1yRQ' Ą/éę®RÓ‚Ĺ!d~)=ËÝš˛×F÷J,QB§É§E3g#ŞÓ®TÚňN ,l\ĆâÜ×xéĄ!±ÇI˝Ĺáęž MEĽű m\*s’Hóu_ĘDĽýĹň,řqĹö17׺Á¬3ţ˝¤cĚ
ŃV°äŰqÜěDĆűŕvoV)Ůę4aÜݸŰĘAđ6~…ĐŻ‡)ŞľÎâ©úŚ|