├── Bayes.py ├── Ensemble_Learning.py ├── KNN.py ├── LICENSE ├── Neural_Network.py ├── README.en.md ├── README.md ├── SVM.py ├── classificationforBayes.txt ├── classificationforKNN.txt ├── classificationforNN.txt ├── classificationforSVM.txt ├── classificationforlinearSVM.txt ├── classificationfornonlinearSVM.txt ├── t10k-images.idx3-ubyte ├── t10k-labels.idx1-ubyte ├── test1.txt ├── train-images.idx3-ubyte ├── train-labels.idx1-ubyte ├── train1.txt └── 作业五实验报告赵虎201600301325.docx /Bayes.py: -------------------------------------------------------------------------------- 1 | import struct 2 | from numpy import * 3 | import numpy as np 4 | import time 5 | def read_image(file_name): 6 | #先用二进制方式把文件都读进来 7 | file_handle=open(file_name,"rb") #以二进制打开文档 8 | file_content=file_handle.read() #读取到缓冲区中 9 | offset=0 10 | head = struct.unpack_from('>IIII', file_content, offset) # 取前4个整数，返回一个元组 11 | offset += struct.calcsize('>IIII') 12 | imgNum = head[1] #图片数 13 | rows = head[2] #宽度 14 | cols = head[3] #高度 15 | 16 | images=np.empty((imgNum , 784))#empty，是它所常见的数组内的所有元素均为空，没有实际意义，它是创建数组最快的方法 17 | image_size=rows*cols#单个图片的大小 18 | fmt='>' + str(image_size) + 'B'#单个图片的format 19 | 20 | for i in range(imgNum): 21 | images[i] = np.array(struct.unpack_from(fmt, file_content, offset)) 22 | # images[i] = np.array(struct.unpack_from(fmt, file_content, offset)).reshape((rows, cols)) 23 | offset += struct.calcsize(fmt) 24 | return images 25 | 26 | #读取标签 27 | def read_label(file_name): 28 | file_handle = open(file_name, "rb") # 以二进制打开文档 29 | file_content = file_handle.read() # 读取到缓冲区中 30 | 31 | head = struct.unpack_from('>II', file_content, 0) # 取前2个整数，返回一个元组 32 | offset = struct.calcsize('>II') 33 | 34 | labelNum = head[1] # label数 35 | # print(labelNum) 36 | bitsString = '>' + str(labelNum) + 'B' # fmt格式：'>47040000B' 37 | label = struct.unpack_from(bitsString, file_content, offset) # 取data数据，返回一个元组 38 | return np.array(label) 39 | 40 | def loadDataSet(): 41 | #mnist 42 | train_x_filename="train-images.idx3-ubyte" 43 | train_y_filename="train-labels.idx1-ubyte" 44 | test_x_filename="t10k-images.idx3-ubyte" 45 | test_y_filename="t10k-labels.idx1-ubyte" 46 | 47 | # #fashion mnist 48 | # train_x_filename="fashion-train-images-idx3-ubyte" 49 | # train_y_filename="fashion-train-labels-idx1-ubyte" 50 | # test_x_filename="fashion-t10k-images-idx3-ubyte" 51 | # test_y_filename="fashion-t10k-labels-idx1-ubyte" 52 | 53 | train_x=read_image(train_x_filename)#60000*784 的矩阵 54 | train_y=read_label(train_y_filename)#60000*1的矩阵 55 | test_x=read_image(test_x_filename)#10000*784 56 | test_y=read_label(test_y_filename)#10000*1 57 | 58 | train_x=normalize(train_x) 59 | test_x=normalize(test_x) 60 | # #调试的时候让速度快点，就先减少数据集大小 61 | # train_x=train_x[0:1000,:] 62 | # train_y=train_y[0:1000] 63 | # test_x=test_x[0:500,:] 64 | # test_y=test_y[0:500] 65 | 66 | return train_x, test_x, train_y, test_y 67 | 68 | def normalize(data):#图片像素二值化，变成0-1分布 69 | m=data.shape[0] 70 | n=np.array(data).shape[1] 71 | for i in range(m): 72 | for j in range(n): 73 | if data[i,j]!=0: 74 | data[i,j]=1 75 | else: 76 | data[i,j]=0 77 | return data 78 | 79 | #（1）计算先验概率及条件概率 80 | def train_model(train_x,train_y,classNum):#classNum是指有10个类别，这里的train_x是已经二值化， 81 | m=train_x.shape[0] 82 | n=train_x.shape[1] 83 | # prior_probability=np.zeros(n)#先验概率 84 | prior_probability=np.zeros(classNum)#先验概率 85 | conditional_probability=np.zeros((classNum,n,2))#条件概率 86 | #计算先验概率和条件概率 87 | for i in range(m):#m是图片数量，共60000张 88 | img=train_x[i]#img是第i个图片，是1*n的行向量 89 | label=train_y[i]#label是第i个图片对应的label 90 | prior_probability[label]+=1#统计label类的label数量(p(Y=ck)，下标用来存放label,prior_probability[label]除以n就是某个类的先验概率 91 | for j in range(n):#n是特征数，共784个 92 | temp=img[j].astype(int)#img[j]是0.0，放到下标去会显示错误，只能用整数 93 | conditional_probability[label][j][temp] += 1 94 | # conditional_probability[label][j][img[j]]+=1#统计的是类为label的，在每个列中为1或者0的行数为多少，img[j]的值要么就是0要么就是1，计算条件概率 95 | #将概率归到[1.10001] 96 | for i in range(classNum): 97 | for j in range(n): 98 | #经过二值化的图像只有0，1两种取值 99 | pix_0=conditional_probability[i][j][0] 100 | pix_1=conditional_probability[i][j][1] 101 | #计算0，1像素点对应的条件概率 102 | probability_0=(float(pix_0)/float(pix_0+pix_1))*10000+1 103 | probability_1 = (float(pix_1)/float(pix_0 + pix_1)) * 10000 + 1 104 | conditional_probability[i][j][0]=probability_0 105 | conditional_probability[i][j][1]=probability_1 106 | return prior_probability,conditional_probability 107 | 108 | #（2）对给定的x，计算先验概率和条件概率的乘积 109 | def cal_probability(img,label,prior_probability,conditional_probability): 110 | probability=int(prior_probability[label])#先验概率 111 | n=img.shape[0] 112 | # print(n) 113 | for i in range(n):#应该是特征数 114 | probability*=int(conditional_probability[label][i][img[i].astype(int)]) 115 | 116 | return probability 117 | 118 | #确定实例x的类，相当于argmax 119 | def predict(test_x,test_y,prior_probability,conditional_probability):#传进来的test_x或者是train_x都是二值化后的 120 | predict_y=[] 121 | m=test_x.shape[0] 122 | n=test_x.shape[1] 123 | for i in range(m): 124 | img=np.array(test_x[i])#img已经是二值化以后的列向量 125 | label=test_y[i] 126 | max_label=0 127 | max_probability= cal_probability(img,0,prior_probability,conditional_probability) 128 | for j in range(1,10):#从下标为1开始，因为初始值是下标为0 129 | probability=cal_probability(img,j,prior_probability,conditional_probability) 130 | if max_probabilityII',lbpath.read(8)) 11 | labels = numpy.fromfile(lbpath,dtype=numpy.uint8) 12 | with open(images_path, 'rb') as imgpath: 13 | magic, num, rows, cols = struct.unpack('>IIII',imgpath.read(16)) 14 | images = numpy.fromfile(imgpath,dtype=numpy.uint8).reshape(len(labels), 784) 15 | #由于源数据有些数据过大，会导致激活函数计算溢出，所以对数据集集体缩小， 16 | #由于图片数据每一位的值均为0-255之间，但统一除以255后发现当神经元个数达到一定数目或层数增加时还是会计算溢出，于是决定统一除以2550 17 | return (images/2550), labels 18 | 19 | def vote(lt): 20 | index1 = 0 21 | max = 0 22 | for i in range(len(lt)): 23 | flag = 0 24 | for j in range(i+1,len(lt)): 25 | if lt[j] == lt[i]: 26 | flag += 1 27 | if flag > max: 28 | max = flag 29 | index1 = i 30 | return index1 31 | def Ensemble(): 32 | f1=open('classificationforlinearSVM.txt') 33 | f2=open('classificationfornonlinearSVM.txt') 34 | f3=open('classificationforBayes.txt') 35 | f4=open('classificationforKNN.txt') 36 | f5=open('classificationforNN.txt') 37 | classificationforlinearSVM=f1.read().split() 38 | classificationfornonlinearSVM=f2.read().split() 39 | classificationforBayes=f3.read().split() 40 | classificationforKNN=f4.read().split() 41 | classificationforNN=f5.read().split() 42 | for i in range(len(classificationforBayes)): 43 | # print(len(classificationforBayes)) 44 | ls=[] 45 | ls.append(classificationforlinearSVM[i]) 46 | ls.append(classificationfornonlinearSVM[i]) 47 | ls.append(classificationforBayes[i]) 48 | ls.append(classificationforKNN[i]) 49 | ls.append(classificationforNN[i]) 50 | ans.append(ls[vote(ls)]) 51 | def accuracy(): 52 | test_images_data,test_labels=load("C:\\Users\\Anonymous\\Documents\\机器学习\\作业五赵虎201600301325", kind='t10k') 53 | count=0 54 | for i in range(len(test_labels)): 55 | # print(len(test_labels)) 56 | # print(type(test_labels[i])) 57 | if ans[i]==str(test_labels[i]): 58 | count+=1 59 | print(count) 60 | return count/10000 61 | if __name__=='__main__': 62 | Ensemble() 63 | print('集成学习准确率：'+str(accuracy())) 64 | 65 | 66 | 67 | -------------------------------------------------------------------------------- /KNN.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | from numpy import * 3 | import operator 4 | import os 5 | import numpy as np 6 | import matplotlib.pyplot as plt 7 | from matplotlib import cm 8 | from os import listdir 9 | from mpl_toolkits.mplot3d import Axes3D 10 | import struct 11 | 12 | #读取图片 13 | def read_image(file_name): 14 | #先用二进制方式把文件都读进来 15 | file_handle=open(file_name,"rb") #以二进制打开文档 16 | file_content=file_handle.read() #读取到缓冲区中 17 | 18 | offset=0 19 | head = struct.unpack_from('>IIII', file_content, offset) # 取前4个整数，返回一个元组 20 | offset += struct.calcsize('>IIII') 21 | imgNum = head[1] #图片数 22 | rows = head[2] #宽度 23 | cols = head[3] #高度 24 | # print(imgNum) 25 | # print(rows) 26 | # print(cols) 27 | 28 | #测试读取一个图片是否读取成功 29 | #im = struct.unpack_from('>784B', file_content, offset) 30 | #offset += struct.calcsize('>784B') 31 | 32 | images=np.empty((imgNum , 784))#empty，是它所常见的数组内的所有元素均为空，没有实际意义，它是创建数组最快的方法 33 | image_size=rows*cols#单个图片的大小 34 | fmt='>' + str(image_size) + 'B'#单个图片的format 35 | 36 | for i in range(imgNum): 37 | images[i] = np.array(struct.unpack_from(fmt, file_content, offset)) 38 | # images[i] = np.array(struct.unpack_from(fmt, file_content, offset)).reshape((rows, cols)) 39 | offset += struct.calcsize(fmt) 40 | return images 41 | 42 | '''bits = imgNum * rows * cols # data一共有60000*28*28个像素值 43 | bitsString = '>' + str(bits) + 'B' # fmt格式：'>47040000B' 44 | imgs = struct.unpack_from(bitsString, file_content, offset) # 取data数据，返回一个元组 45 | imgs_array=np.array(imgs).reshape((imgNum,rows*cols)) #最后将读取的数据reshape成 【图片数，图片像素】二维数组 46 | return imgs_array''' 47 | 48 | #读取标签 49 | def read_label(file_name): 50 | file_handle = open(file_name, "rb") # 以二进制打开文档 51 | file_content = file_handle.read() # 读取到缓冲区中 52 | 53 | head = struct.unpack_from('>II', file_content, 0) # 取前2个整数，返回一个元组 54 | offset = struct.calcsize('>II') 55 | 56 | labelNum = head[1] # label数 57 | # print(labelNum) 58 | bitsString = '>' + str(labelNum) + 'B' # fmt格式：'>47040000B' 59 | label = struct.unpack_from(bitsString, file_content, offset) # 取data数据，返回一个元组 60 | return np.array(label) 61 | 62 | #KNN算法 63 | def KNN(test_data, dataSet, labels, k): 64 | dataSetSize = dataSet.shape[0]#dataSet.shape[0]表示的是读取矩阵第一维度的长度，代表行数 65 | # distance1 = tile(test_data, (dataSetSize,1)) - dataSet#欧氏距离计算开始 66 | # print("dataSetSize:") 67 | # print(dataSetSize) 68 | distance1 = tile(test_data, (dataSetSize)).reshape((60000,784))-dataSet#tile函数在行上重复dataSetSizec次，在列上重复1次 69 | # print("distance1.shape") 70 | # print(distance1.shape) 71 | distance2 = distance1**2 #每个元素平方 72 | distance3 = distance2.sum(axis=1)#矩阵每行相加 73 | distances4 = distance3**0.5#欧氏距离计算结束 74 | # print(distances4[53843]) 75 | # print(distances4[38620]) 76 | # print(distances4[16186]) 77 | sortedDistIndicies = distances4.argsort() #返回从小到大排序的索引 78 | classCount=np.zeros((10), np.int32)#10是代表10个类别 79 | for i in range(k): #统计前k个数据类的数量 80 | voteIlabel = labels[sortedDistIndicies[i]] 81 | classCount[voteIlabel] += 1 82 | max = 0 83 | id = 0 84 | # print(classCount.shape[1]) 85 | 86 | for i in range(classCount.shape[0]): 87 | if classCount[i] >= max: 88 | max = classCount[i] 89 | id = i 90 | 91 | # sortedClassCount = sorted(classCount.iteritems(), key=operator.itemgetter(1), reverse=True)#从大到小按类别数目排序 92 | return id 93 | 94 | def test_KNN(): 95 | # 文件获取 96 | #mnist数据集 97 | # train_image = "F:\mnist\\train-images-idx3-ubyte" 98 | # test_image = "F:\mnist\\t10k-images-idx3-ubyte" 99 | # train_label = "F:\mnist\\train-labels-idx1-ubyte" 100 | # test_label = "F:\mnist\\t10k-labels-idx1-ubyte" 101 | #fashion mnist数据集 102 | train_image = "train-images.idx3-ubyte" 103 | test_image = "t10k-images.idx3-ubyte" 104 | train_label = "train-labels.idx1-ubyte" 105 | test_label = "t10k-labels.idx1-ubyte" 106 | # 读取数据 107 | train_x = read_image(train_image) # train_dataSet 108 | test_x = read_image(test_image) # test_dataSet 109 | train_y = read_label(train_label) # train_label 110 | test_y = read_label(test_label) # test_label 111 | #调试的时候让速度快点，就先减少数据集大小 112 | train_x=train_x[0:60000,:] 113 | train_y=train_y[0:60000] 114 | test_x=test_x[0:10000,:] 115 | test_y=test_y[0:10000] 116 | 117 | testRatio = 1 # 取数据集的前0.1为测试数据,这个参数比重可以改变 118 | train_row = train_x.shape[0] # 数据集的行数，即数据集的总的样本数 119 | test_row=test_x.shape[0] 120 | testNum = int(test_row * testRatio) 121 | errorCount = 0 # 判断错误的个数 122 | results=[] 123 | for i in range(testNum): 124 | result = KNN(test_x[i], train_x, train_y, 10) 125 | results.append(result) 126 | if result != test_y[i]: 127 | errorCount += 1.0# 如果mnist验证集的标签和本身标签不一样，则出错 128 | error_rate = errorCount / float(testNum) # 计算出错率 129 | acc = 1.0 - error_rate 130 | print('test end') 131 | f = open('classificationforKNN.txt','w') 132 | for i in results: 133 | f.write(str(i)+' ') 134 | f.close() 135 | print("\nthe total number of errors is: %d" % errorCount) 136 | print("\nthe total error rate is: %f" % (error_rate)) 137 | print("\nthe total accuracy rate is: %f" % (acc)) 138 | 139 | if __name__ == "__main__": 140 | test_KNN()#test(）函数中调用了读取数据集的函数，并调用分类函数对数据集进行分类，最后对分类情况进行计算 141 | 142 | 143 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. Definitions. 8 | 9 | "License" shall mean the terms and conditions for use, reproduction, 10 | and distribution as defined by Sections 1 through 9 of this document. 11 | 12 | "Licensor" shall mean the copyright owner or entity authorized by 13 | the copyright owner that is granting the License. 14 | 15 | "Legal Entity" shall mean the union of the acting entity and all 16 | other entities that control, are controlled by, or are under common 17 | control with that entity. For the purposes of this definition, 18 | "control" means (i) the power, direct or indirect, to cause the 19 | direction or management of such entity, whether by contract or 20 | otherwise, or (ii) ownership of fifty percent (50%) or more of the 21 | outstanding shares, or (iii) beneficial ownership of such entity. 22 | 23 | "You" (or "Your") shall mean an individual or Legal Entity 24 | exercising permissions granted by this License. 25 | 26 | "Source" form shall mean the preferred form for making modifications, 27 | including but not limited to software source code, documentation 28 | source, and configuration files. 29 | 30 | "Object" form shall mean any form resulting from mechanical 31 | transformation or translation of a Source form, including but 32 | not limited to compiled object code, generated documentation, 33 | and conversions to other media types. 34 | 35 | "Work" shall mean the work of authorship, whether in Source or 36 | Object form, made available under the License, as indicated by a 37 | copyright notice that is included in or attached to the work 38 | (an example is provided in the Appendix below). 39 | 40 | "Derivative Works" shall mean any work, whether in Source or Object 41 | form, that is based on (or derived from) the Work and for which the 42 | editorial revisions, annotations, elaborations, or other modifications 43 | represent, as a whole, an original work of authorship. For the purposes 44 | of this License, Derivative Works shall not include works that remain 45 | separable from, or merely link (or bind by name) to the interfaces of, 46 | the Work and Derivative Works thereof. 47 | 48 | "Contribution" shall mean any work of authorship, including 49 | the original version of the Work and any modifications or additions 50 | to that Work or Derivative Works thereof, that is intentionally 51 | submitted to Licensor for inclusion in the Work by the copyright owner 52 | or by an individual or Legal Entity authorized to submit on behalf of 53 | the copyright owner. For the purposes of this definition, "submitted" 54 | means any form of electronic, verbal, or written communication sent 55 | to the Licensor or its representatives, including but not limited to 56 | communication on electronic mailing lists, source code control systems, 57 | and issue tracking systems that are managed by, or on behalf of, the 58 | Licensor for the purpose of discussing and improving the Work, but 59 | excluding communication that is conspicuously marked or otherwise 60 | designated in writing by the copyright owner as "Not a Contribution." 61 | 62 | "Contributor" shall mean Licensor and any individual or Legal Entity 63 | on behalf of whom a Contribution has been received by Licensor and 64 | subsequently incorporated within the Work. 65 | 66 | 2. Grant of Copyright License. Subject to the terms and conditions of 67 | this License, each Contributor hereby grants to You a perpetual, 68 | worldwide, non-exclusive, no-charge, royalty-free, irrevocable 69 | copyright license to reproduce, prepare Derivative Works of, 70 | publicly display, publicly perform, sublicense, and distribute the 71 | Work and such Derivative Works in Source or Object form. 72 | 73 | 3. Grant of Patent License. Subject to the terms and conditions of 74 | this License, each Contributor hereby grants to You a perpetual, 75 | worldwide, non-exclusive, no-charge, royalty-free, irrevocable 76 | (except as stated in this section) patent license to make, have made, 77 | use, offer to sell, sell, import, and otherwise transfer the Work, 78 | where such license applies only to those patent claims licensable 79 | by such Contributor that are necessarily infringed by their 80 | Contribution(s) alone or by combination of their Contribution(s) 81 | with the Work to which such Contribution(s) was submitted. If You 82 | institute patent litigation against any entity (including a 83 | cross-claim or counterclaim in a lawsuit) alleging that the Work 84 | or a Contribution incorporated within the Work constitutes direct 85 | or contributory patent infringement, then any patent licenses 86 | granted to You under this License for that Work shall terminate 87 | as of the date such litigation is filed. 88 | 89 | 4. Redistribution. You may reproduce and distribute copies of the 90 | Work or Derivative Works thereof in any medium, with or without 91 | modifications, and in Source or Object form, provided that You 92 | meet the following conditions: 93 | 94 | (a) You must give any other recipients of the Work or 95 | Derivative Works a copy of this License; and 96 | 97 | (b) You must cause any modified files to carry prominent notices 98 | stating that You changed the files; and 99 | 100 | (c) You must retain, in the Source form of any Derivative Works 101 | that You distribute, all copyright, patent, trademark, and 102 | attribution notices from the Source form of the Work, 103 | excluding those notices that do not pertain to any part of 104 | the Derivative Works; and 105 | 106 | (d) If the Work includes a "NOTICE" text file as part of its 107 | distribution, then any Derivative Works that You distribute must 108 | include a readable copy of the attribution notices contained 109 | within such NOTICE file, excluding those notices that do not 110 | pertain to any part of the Derivative Works, in at least one 111 | of the following places: within a NOTICE text file distributed 112 | as part of the Derivative Works; within the Source form or 113 | documentation, if provided along with the Derivative Works; or, 114 | within a display generated by the Derivative Works, if and 115 | wherever such third-party notices normally appear. The contents 116 | of the NOTICE file are for informational purposes only and 117 | do not modify the License. You may add Your own attribution 118 | notices within Derivative Works that You distribute, alongside 119 | or as an addendum to the NOTICE text from the Work, provided 120 | that such additional attribution notices cannot be construed 121 | as modifying the License. 122 | 123 | You may add Your own copyright statement to Your modifications and 124 | may provide additional or different license terms and conditions 125 | for use, reproduction, or distribution of Your modifications, or 126 | for any such Derivative Works as a whole, provided Your use, 127 | reproduction, and distribution of the Work otherwise complies with 128 | the conditions stated in this License. 129 | 130 | 5. Submission of Contributions. Unless You explicitly state otherwise, 131 | any Contribution intentionally submitted for inclusion in the Work 132 | by You to the Licensor shall be under the terms and conditions of 133 | this License, without any additional terms or conditions. 134 | Notwithstanding the above, nothing herein shall supersede or modify 135 | the terms of any separate license agreement you may have executed 136 | with Licensor regarding such Contributions. 137 | 138 | 6. Trademarks. This License does not grant permission to use the trade 139 | names, trademarks, service marks, or product names of the Licensor, 140 | except as required for reasonable and customary use in describing the 141 | origin of the Work and reproducing the content of the NOTICE file. 142 | 143 | 7. Disclaimer of Warranty. Unless required by applicable law or 144 | agreed to in writing, Licensor provides the Work (and each 145 | Contributor provides its Contributions) on an "AS IS" BASIS, 146 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or 147 | implied, including, without limitation, any warranties or conditions 148 | of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A 149 | PARTICULAR PURPOSE. You are solely responsible for determining the 150 | appropriateness of using or redistributing the Work and assume any 151 | risks associated with Your exercise of permissions under this License. 152 | 153 | 8. Limitation of Liability. In no event and under no legal theory, 154 | whether in tort (including negligence), contract, or otherwise, 155 | unless required by applicable law (such as deliberate and grossly 156 | negligent acts) or agreed to in writing, shall any Contributor be 157 | liable to You for damages, including any direct, indirect, special, 158 | incidental, or consequential damages of any character arising as a 159 | result of this License or out of the use or inability to use the 160 | Work (including but not limited to damages for loss of goodwill, 161 | work stoppage, computer failure or malfunction, or any and all 162 | other commercial damages or losses), even if such Contributor 163 | has been advised of the possibility of such damages. 164 | 165 | 9. Accepting Warranty or Additional Liability. While redistributing 166 | the Work or Derivative Works thereof, You may choose to offer, 167 | and charge a fee for, acceptance of support, warranty, indemnity, 168 | or other liability obligations and/or rights consistent with this 169 | License. However, in accepting such obligations, You may act only 170 | on Your own behalf and on Your sole responsibility, not on behalf 171 | of any other Contributor, and only if You agree to indemnify, 172 | defend, and hold each Contributor harmless for any liability 173 | incurred by, or claims asserted against, such Contributor by reason 174 | of your accepting any such warranty or additional liability. 175 | 176 | END OF TERMS AND CONDITIONS 177 | 178 | APPENDIX: How to apply the Apache License to your work. 179 | 180 | To apply the Apache License to your work, attach the following 181 | boilerplate notice, with the fields enclosed by brackets "{}" 182 | replaced with your own identifying information. (Don't include 183 | the brackets!) The text should be enclosed in the appropriate 184 | comment syntax for the file format. We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright {yyyy} {name of copyright owner} 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | -------------------------------------------------------------------------------- /Neural_Network.py: -------------------------------------------------------------------------------- 1 | import os 2 | import struct 3 | import numpy 4 | #数据加载函数，kind值标明了读取文件的类型 5 | def load(path, kind='train'): 6 | labels_path = os.path.join(path,'%s-labels.idx1-ubyte'% kind) 7 | images_path = os.path.join(path,'%s-images.idx3-ubyte'% kind) 8 | with open(labels_path, 'rb') as lbpath: 9 | magic, n = struct.unpack('>II',lbpath.read(8)) 10 | labels = numpy.fromfile(lbpath,dtype=numpy.uint8) 11 | with open(images_path, 'rb') as imgpath: 12 | magic, num, rows, cols = struct.unpack('>IIII',imgpath.read(16)) 13 | images = numpy.fromfile(imgpath,dtype=numpy.uint8).reshape(len(labels), 784) 14 | #读取到的labels为0-9的数字，需转化为十位的numpy数组 15 | ls=[] 16 | for i in range(labels.size): 17 | temp=numpy.zeros(10) 18 | temp[labels[i]]=1 19 | ls.append(temp.T) 20 | labels=numpy.array(ls) 21 | #由于源数据有些数据过大，会导致激活函数计算溢出，所以对数据集集体缩小， 22 | #由于图片数据每一位的值均为0-255之间，但统一除以255后发现当神经元个数达到一定数目或层数增加时还是会计算溢出，于是决定统一除以2550 23 | return (images/2550), labels 24 | class neuralNetwork: 25 | def __init__(self,numNeuronLayers,numNeurons_perLayer,learningrate): 26 | self.numNeurons_perLayer=numNeurons_perLayer 27 | self.numNeuronLayers=numNeuronLayers 28 | self.learningrate = learningrate 29 | self.weight=[] 30 | for i in range(numNeuronLayers): 31 | self.weight.append(numpy.random.normal(0.0, pow(self.numNeurons_perLayer[i+1],-0.5), 32 | (self.numNeurons_perLayer[i+1],self.numNeurons_perLayer[i]) ) ) 33 | self.activation_function = lambda x: 1.0/(1.0+numpy.exp(-x)) 34 | def update(self,inputnodes,targets): 35 | inputs = numpy.array(inputnodes,ndmin=2).T 36 | targets = numpy.array(targets,ndmin=2).T 37 | #前向传播 38 | #定义输出值列表（outputs[0]为输入值） 39 | self.outputs=[] 40 | self.outputs.append(inputs) 41 | #用激活函数对神经网络的每一层计算输出值，并保存到outputs列表中 42 | for i in range(self.numNeuronLayers): 43 | temp_inputs=numpy.dot(self.weight[i],inputs) 44 | temp_outputs=self.activation_function(temp_inputs) 45 | inputs=temp_outputs 46 | self.outputs.append(temp_outputs) 47 | #计算每层的训练误差 48 | self.output_errors=[] 49 | for i in range(self.numNeuronLayers): 50 | #输出层的误差=目标值-输出值 51 | if i == 0: 52 | self.output_errors.append(targets - self.outputs[-1]) 53 | #隐藏层的误差=当前隐藏层与下一层之间的权值矩阵与下一层的误差矩阵的乘积 54 | else: 55 | self.output_errors.append(numpy.dot((self.weight[self.numNeuronLayers-i]).T, 56 | self.output_errors[i-1])) 57 | #反向传播 58 | for i in range(self.numNeuronLayers): 59 | #权值更新规则为之前权值+学习率*误差*第二层输出*（1-第二层输出）*第一层输出 60 | #f(x)*（1-f(x)）即为激活函数f(x)的导函数 61 | self.weight[self.numNeuronLayers-i-1] += self.learningrate * numpy.dot((self.output_errors[i] 62 | * self.outputs[-1-i] * (1.0 - self.outputs[-1-i])), numpy.transpose(self.outputs[-1-i-1])) 63 | def test(self,test_inputnodes,test_labels): 64 | inputs = numpy.array(test_inputnodes,ndmin=2).T 65 | #走一遍前向传播得到输出 66 | for i in range(self.numNeuronLayers): 67 | temp_inputs=numpy.dot(self.weight[i],inputs) 68 | temp_outputs=self.activation_function(temp_inputs) 69 | inputs=temp_outputs 70 | #返回模型输出结果是否与测试用例标签一致 71 | return list(inputs).index(max(list(inputs)))==list(test_labels).index(1) 72 | def output(self,test_inputnodes,f): 73 | inputs = numpy.array(test_inputnodes,ndmin=2).T 74 | #走一遍前向传播得到输出 75 | for i in range(self.numNeuronLayers): 76 | temp_inputs=numpy.dot(self.weight[i],inputs) 77 | temp_outputs=self.activation_function(temp_inputs) 78 | inputs=temp_outputs 79 | f.write(str(list(inputs).index(max(list(inputs))))+' ') 80 | 81 | if __name__ == '__main__': 82 | learning_rate = 0.1 83 | images_data,labels=load("C:\\Users\\Anonymous\\Documents\\机器学习\\作业四赵虎201600301325", kind='train') 84 | test_images_data,test_labels=load("C:\\Users\\Anonymous\\Documents\\机器学习\\作业四赵虎201600301325", kind='t10k') 85 | ls=[784,30,10] 86 | n=neuralNetwork(2,ls,0.3) 87 | for i in range(5): 88 | # if i/6==0: 89 | # n.learningrate=n.learningrate/2 90 | for i in range(len(images_data)): 91 | n.update(images_data[i],labels[i]) 92 | count=0 93 | f=open("classificationforNN.txt",'w') 94 | for i in range(len(test_images_data)): 95 | n.output(test_images_data[i],f) 96 | # if n.test(test_images_data[i],test_labels[i]): 97 | # count+=1 98 | print(count/10000) 99 | 100 | 101 | 102 | 103 | -------------------------------------------------------------------------------- /README.en.md: -------------------------------------------------------------------------------- 1 | # Ensemble_Learning 2 | 3 | #### Description 4 | 使用5-6个模型（可以是knn svm 贝叶斯等等）用投票的方式做一个集成学习对MNIST数据集进行分类。 5 | 6 | #### Software Architecture 7 | Software architecture description 8 | 9 | #### Installation 10 | 11 | 1. xxxx 12 | 2. xxxx 13 | 3. xxxx 14 | 15 | #### Instructions 16 | 17 | 1. xxxx 18 | 2. xxxx 19 | 3. xxxx 20 | 21 | #### Contribution 22 | 23 | 1. Fork the repository 24 | 2. Create Feat_xxx branch 25 | 3. Commit your code 26 | 4. Create Pull Request 27 | 28 | 29 | #### Gitee Feature 30 | 31 | 1. You can use Readme\_XXX.md to support different languages, such as Readme\_en.md, Readme\_zh.md 32 | 2. Gitee blog [blog.gitee.com](https://blog.gitee.com) 33 | 3. Explore open source project [https://gitee.com/explore](https://gitee.com/explore) 34 | 4. The most valuable open source project [GVP](https://gitee.com/gvp) 35 | 5. The manual of Gitee [https://gitee.com/help](https://gitee.com/help) 36 | 6. The most popular members [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/) -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Ensemble_Learning 2 | 3 | 一．题目要求 4 | 使用5-6个模型（可以是knn svm 贝叶斯等等）用投票的方式做一个集成学习对MNIST数据集进行分类。 5 | 二．题目分析 6 | 本实验中我才用的模型有线性SVM，非线性（多项式）SVM，KNN算法，朴素贝叶斯估计和神经网络5个模型，根据五个模型的分类结果进行投票，票数多的为最终分类，若票数均一样，则任取一个模型的分类结果。 7 | 三.文档 8 | 首先运行Bayes.py,KNN.py,Neural_Network.py,SVM.py生成五组模型训练结果，根据训练模型对测试集进行测试，最后运行Ensemble_Learning用投票方式决定最后结果 -------------------------------------------------------------------------------- /SVM.py: -------------------------------------------------------------------------------- 1 | from libsvm.python.svmutil import * 2 | from libsvm.python.svm import * 3 | import os 4 | import struct 5 | import numpy 6 | dic={} 7 | #数据加载函数，kind值标明了读取文件的类型 8 | def loadforSVM(path, kind='train'): 9 | labels_path = os.path.join(path,'%s-labels.idx1-ubyte'% kind) 10 | images_path = os.path.join(path,'%s-images.idx3-ubyte'% kind) 11 | with open(labels_path, 'rb') as lbpath: 12 | magic, n = struct.unpack('>II',lbpath.read(8)) 13 | labels = numpy.fromfile(lbpath,dtype=numpy.uint8) 14 | with open(images_path, 'rb') as imgpath: 15 | magic, num, rows, cols = struct.unpack('>IIII',imgpath.read(16)) 16 | images = numpy.fromfile(imgpath,dtype=numpy.uint8).reshape(len(labels), 784) 17 | #由于源数据有些数据过大，会导致激活函数计算溢出，所以对数据集集体缩小， 18 | #由于图片数据每一位的值均为0-255之间，归一化处理 19 | if kind=='train': 20 | f = open('trainforSVM.txt','w') 21 | if kind=='t10k': 22 | f = open('testforSVM.txt','w') 23 | count=0 24 | for i in range(10): 25 | for j in range(len(images)): 26 | index=1 27 | if labels[j]==i: 28 | string=str(i)+' ' 29 | for k in images[j]: 30 | string=string+str(index)+':'+str(k/255)+' ' 31 | index+=1 32 | f.writelines(string+'\n') 33 | dic[count]=j 34 | count+=1 35 | f.close() 36 | if __name__ == '__main__': 37 | loadforSVM("C:\\Users\\Anonymous\\Documents\\机器学习\\作业四赵虎201600301325", kind='train') 38 | loadforSVM("C:\\Users\\Anonymous\\Documents\\机器学习\\作业四赵虎201600301325", kind='t10k') 39 | y, x = svm_read_problem('trainforSVM.txt') 40 | yt,xt=svm_read_problem('testforSVM.txt') 41 | model=svm_train(y,x,'-t 0 -m 600') 42 | # print('test:') 43 | p_label, p_acc, p_val = svm_predict(yt, xt, model) 44 | f = open('classificationforSVM.txt','w') 45 | for i in range(len(p_label)): 46 | # f.write(str(int(p_label[dic[i]]))+' ') 47 | f.write(str(int(p_label[i]))+' ') 48 | f1=open("classificationforSVM.txt") 49 | s=f1.read().split() 50 | dic1={} 51 | for i in range(10000): 52 | dic1[dic[i]]=i 53 | f2=open("classificationforlinearSVM.txt",'w') 54 | for i in range(10000): 55 | f2.write(s[dic1[i]]+' ') 56 | 57 | 58 | -------------------------------------------------------------------------------- /classificationforBayes.txt: -------------------------------------------------------------------------------- 1 | 7 2 1 0 4 1 4 9 4 9 0 6 9 0 1 3 9 7 3 4 9 6 4 5 4 0 7 4 0 1 3 1 3 0 7 2 7 1 3 1 1 7 4 2 3 5 3 2 9 4 6 3 5 3 2 5 4 1 9 5 7 8 9 2 7 9 2 4 3 0 7 0 2 8 1 7 3 7 9 7 9 6 2 7 8 4 7 3 6 1 3 6 8 3 1 4 1 4 6 9 6 0 5 4 4 9 2 1 9 4 8 1 3 9 9 4 4 4 9 8 3 4 7 6 7 9 0 5 8 5 6 6 5 7 8 1 0 1 6 4 6 7 3 1 7 1 8 2 0 2 4 4 5 5 1 5 6 0 3 9 4 6 5 4 6 3 4 5 1 4 4 8 2 3 2 1 1 8 1 8 1 8 5 0 8 9 2 3 0 1 1 1 0 9 0 5 1 6 9 2 3 6 1 1 1 3 9 3 2 9 4 5 9 1 9 0 3 5 7 5 7 2 2 7 1 2 8 4 1 7 3 3 8 9 7 9 2 2 4 1 3 3 8 7 2 6 0 6 4 1 9 1 9 5 7 7 2 8 2 0 8 5 7 7 9 1 8 1 3 0 3 0 1 9 9 4 1 8 2 1 2 9 9 5 9 2 6 4 1 3 4 2 9 2 0 4 0 0 2 8 5 9 1 2 9 0 2 9 4 3 3 0 0 3 1 9 5 4 3 5 1 7 9 3 5 9 2 0 7 1 1 2 1 5 3 3 9 7 0 6 6 4 1 3 8 1 8 5 1 7 1 5 0 6 1 8 5 1 7 9 4 6 7 2 5 0 6 3 6 3 7 2 0 8 8 5 9 1 1 4 0 7 3 7 6 1 6 2 1 9 2 8 6 1 9 5 2 5 4 4 2 8 3 9 8 4 0 0 3 1 7 7 3 7 9 7 1 9 2 1 4 2 9 2 0 4 9 1 4 8 1 8 4 5 9 8 8 3 7 6 0 0 3 5 8 0 6 4 8 3 3 3 2 3 9 1 2 5 8 0 9 6 6 6 8 8 8 2 8 5 8 9 6 1 8 4 1 2 5 3 1 9 7 5 4 0 9 9 9 1 0 5 2 3 7 2 9 9 8 6 3 4 5 2 1 3 1 5 5 5 7 1 2 2 2 3 2 6 5 9 1 9 7 1 3 0 3 3 3 1 9 6 9 4 6 4 2 1 8 2 5 4 5 4 4 0 0 8 3 2 9 1 8 6 7 4 4 7 9 6 9 0 9 8 0 9 1 0 6 5 5 9 8 3 3 9 3 9 8 7 8 0 2 2 1 7 0 6 3 4 3 3 0 9 6 3 8 0 9 9 6 8 6 8 5 9 3 6 0 2 6 0 2 8 1 1 9 7 5 3 0 8 4 6 1 6 7 9 9 2 9 8 2 2 9 2 7 3 7 9 1 8 0 2 0 5 6 1 3 7 6 7 1 2 0 8 0 3 4 9 4 8 9 1 8 6 7 1 4 3 8 4 1 9 3 1 7 3 9 7 6 9 1 3 3 8 3 3 6 9 2 4 7 8 5 1 1 4 4 9 1 0 7 7 0 7 9 9 4 8 5 5 9 0 3 2 1 6 8 4 2 0 4 0 6 1 7 3 8 6 7 2 6 9 3 1 4 6 8 5 9 8 0 6 2 1 7 3 4 1 0 3 4 3 1 1 7 4 9 9 9 8 4 0 2 4 8 1 1 6 4 9 1 9 9 2 4 1 5 5 3 3 3 1 4 3 6 4 9 4 1 9 3 8 0 6 2 5 1 2 3 3 4 4 0 8 3 3 3 1 7 3 5 9 6 3 2 6 1 3 6 0 7 2 1 7 1 4 2 8 2 1 7 9 6 1 1 2 4 5 1 7 7 4 3 0 7 3 1 3 1 0 7 7 0 3 5 5 2 7 6 6 9 2 8 3 5 2 2 5 5 0 8 2 9 2 3 2 3 8 7 9 9 3 0 6 6 3 2 1 3 2 2 9 3 0 0 5 8 8 1 4 9 6 0 2 9 1 4 7 4 7 3 9 8 3 4 7 1 2 1 2 2 3 7 3 8 3 9 1 7 4 0 3 5 5 8 6 3 0 6 7 6 5 9 2 7 9 1 1 8 4 6 4 9 5 6 3 3 5 9 8 9 1 1 0 9 1 4 4 5 4 0 6 2 3 3 1 5 1 2 0 8 8 1 2 6 7 1 6 2 8 9 0 5 2 2 0 8 9 7 0 2 3 1 9 7 8 1 0 4 1 9 9 4 9 2 6 8 1 3 7 9 4 8 1 8 1 3 8 1 2 8 8 0 6 2 1 1 9 1 5 3 4 8 9 5 0 9 2 2 4 9 2 1 7 2 4 9 4 4 0 9 9 2 2 3 3 8 3 5 7 7 5 8 1 2 9 6 6 4 9 5 1 0 6 9 5 9 3 9 9 1 8 0 3 9 1 3 6 7 2 5 9 7 9 6 3 6 3 7 4 6 5 8 9 9 8 8 8 8 6 7 6 8 9 7 9 7 1 9 5 2 7 3 5 1 1 2 1 4 7 4 7 3 4 5 4 0 8 3 1 9 5 0 2 9 9 4 8 4 6 6 4 9 9 3 4 5 9 8 7 3 9 2 7 5 2 4 1 1 1 6 9 2 8 7 2 0 1 5 0 4 1 9 0 6 6 4 6 5 1 5 0 9 3 8 2 9 5 2 1 8 1 1 3 7 7 0 3 0 9 4 0 6 8 2 2 8 8 4 0 9 6 5 5 1 2 1 3 1 7 9 5 7 2 0 0 3 8 1 6 3 4 1 9 3 1 5 8 1 0 2 4 4 3 6 9 8 2 9 0 4 8 4 4 7 9 3 4 1 5 4 2 3 5 8 8 8 9 3 3 6 6 0 1 6 0 3 7 4 4 1 2 9 1 4 6 4 9 7 9 8 4 2 3 1 9 1 3 1 7 9 4 8 8 1 9 9 1 9 3 6 0 3 2 2 6 1 3 5 2 4 9 1 6 7 9 2 2 1 1 0 8 3 7 8 4 1 7 1 7 6 7 2 2 7 3 1 7 5 8 2 6 2 8 5 6 5 0 9 2 4 6 9 9 7 6 6 8 0 4 1 3 3 2 9 1 3 0 6 7 2 1 8 5 5 2 0 1 6 5 1 9 9 5 0 9 9 4 6 5 4 9 1 8 3 4 9 9 1 3 2 3 1 9 1 4 0 1 4 8 3 8 0 0 2 5 1 9 6 2 9 9 5 9 6 0 6 2 5 4 2 7 3 5 3 9 0 6 8 5 3 5 8 6 3 7 1 3 3 9 6 1 1 2 9 0 4 3 3 6 9 5 9 1 7 7 7 3 1 9 5 3 0 7 2 7 9 4 5 4 9 3 8 1 4 0 2 3 7 5 9 3 8 0 0 6 1 4 7 3 9 0 6 0 6 6 2 3 7 8 4 7 7 4 2 4 1 6 5 2 4 8 9 1 9 4 8 3 8 4 3 7 7 0 7 8 8 4 0 9 8 8 2 4 7 6 6 5 4 9 1 8 8 2 3 5 3 0 0 3 7 6 9 7 9 9 5 4 3 3 6 1 2 3 7 3 3 6 0 3 3 8 9 3 0 3 5 5 2 6 9 0 7 4 5 4 3 5 1 9 6 1 7 5 4 5 8 5 4 5 2 1 3 9 1 9 9 4 0 8 4 5 2 4 2 1 2 1 1 3 6 8 3 4 9 1 9 8 5 7 5 1 1 8 6 5 5 4 4 7 2 3 1 6 3 8 6 2 3 5 0 5 3 7 6 9 6 7 0 4 8 7 1 7 4 1 0 5 7 2 0 0 9 1 1 0 4 8 4 9 4 0 4 6 0 7 1 1 3 3 9 2 7 9 1 2 3 0 8 1 3 9 6 9 3 5 0 2 7 4 5 1 2 5 8 5 8 5 1 5 0 3 0 3 1 4 0 3 7 2 4 1 5 0 7 0 4 3 1 9 4 7 7 5 4 9 9 3 9 1 7 9 0 2 0 3 3 7 4 4 2 3 3 7 7 0 0 7 3 2 9 5 7 4 9 2 6 6 1 9 6 9 2 9 0 8 3 1 1 6 3 5 1 1 1 3 1 3 3 0 8 0 1 3 5 5 7 4 7 9 6 9 6 9 3 6 6 8 5 1 4 2 4 9 5 1 1 9 0 2 4 9 4 7 1 8 3 5 6 9 9 9 1 1 1 7 6 3 2 2 0 3 9 2 3 1 0 3 8 4 3 4 9 6 9 0 6 1 5 5 8 3 8 2 6 5 0 7 9 6 1 3 4 7 3 2 3 9 2 3 2 7 1 7 2 6 6 1 5 7 8 1 0 1 8 2 4 7 7 6 5 3 5 2 4 2 4 5 8 8 3 4 9 2 7 5 9 6 3 6 0 3 6 7 3 6 4 9 4 6 5 3 0 4 1 0 1 9 6 2 9 1 1 0 6 3 9 5 6 9 6 5 9 4 6 4 3 4 1 9 4 1 9 1 2 1 1 9 3 9 4 0 9 3 6 1 7 5 5 3 3 0 1 5 7 3 1 6 4 1 0 8 7 3 4 6 7 9 8 1 4 9 9 2 8 2 8 7 0 0 6 7 5 8 6 5 4 3 9 1 3 5 4 3 3 5 5 6 8 0 2 3 4 2 3 0 9 9 9 7 2 2 9 7 0 6 0 9 3 2 8 5 7 3 0 0 2 9 2 8 2 5 5 0 5 4 0 8 4 8 2 7 4 9 2 0 3 2 9 6 7 2 4 1 1 1 8 3 6 7 8 7 6 4 8 9 9 8 6 3 8 3 1 0 6 2 2 5 6 9 5 8 1 4 9 7 3 4 6 1 8 4 3 1 2 3 0 8 3 9 3 4 2 5 0 7 0 1 5 2 3 7 6 7 9 1 3 5 6 4 9 8 8 9 4 5 8 0 6 8 9 8 3 2 9 0 9 8 7 1 3 4 6 8 0 9 1 3 3 6 9 4 7 1 0 5 7 1 7 5 2 7 9 1 1 5 2 4 9 4 7 2 2 3 4 9 1 9 2 1 7 4 4 9 6 6 7 2 7 8 0 1 9 7 1 1 7 3 3 3 3 1 3 7 6 1 3 8 7 3 9 0 0 0 2 8 8 7 3 7 1 3 0 8 4 4 3 8 9 2 3 9 7 1 1 7 0 4 9 6 3 9 1 7 0 2 0 0 4 6 7 0 7 1 4 6 4 7 4 4 9 1 7 9 5 3 1 8 2 0 6 2 2 1 1 1 1 1 6 9 8 4 3 7 1 6 4 4 0 4 7 4 1 4 0 7 0 1 2 9 8 6 0 0 9 1 6 8 2 2 3 3 4 3 0 8 1 7 5 4 4 0 4 3 1 7 3 1 0 1 2 0 1 2 1 0 1 8 9 1 4 8 3 3 9 3 6 8 3 3 2 2 1 0 4 2 9 2 4 3 7 9 1 5 2 9 9 8 3 8 3 3 3 0 9 9 6 2 5 0 0 7 4 6 6 8 6 6 8 6 9 1 7 2 0 9 9 0 7 2 7 6 7 0 6 5 2 4 7 2 0 9 9 2 2 9 4 4 2 3 3 2 1 7 0 9 6 4 1 3 8 9 4 5 4 2 5 1 3 7 3 7 1 5 3 0 9 1 4 0 1 3 3 2 0 4 9 7 0 1 0 8 9 3 5 7 9 3 8 3 8 1 5 3 4 0 5 3 6 8 6 7 1 7 3 7 0 3 9 5 2 8 5 3 1 7 1 8 6 5 7 3 8 9 3 3 7 9 1 7 0 0 3 7 2 5 8 1 8 6 2 9 3 7 5 8 1 6 8 5 1 4 8 4 5 8 3 0 6 2 7 3 3 2 1 0 9 3 4 6 3 9 3 4 3 9 0 3 8 0 7 6 5 4 7 3 5 0 8 5 2 5 1 1 0 0 8 4 0 1 2 3 2 7 7 8 0 2 3 7 6 9 1 4 1 6 4 2 4 1 5 4 7 9 5 0 1 5 9 8 9 1 9 4 9 9 5 2 7 4 6 0 1 8 1 0 4 4 7 6 3 8 0 9 3 0 6 1 9 6 1 3 8 1 2 5 2 2 4 3 6 8 1 9 7 6 6 8 7 2 9 5 8 3 1 0 0 7 5 6 2 1 6 9 3 1 3 6 1 0 6 0 0 0 6 3 5 9 6 9 5 5 8 5 3 0 4 0 3 9 6 8 2 3 1 2 1 1 5 6 9 8 5 6 6 5 5 3 8 6 0 1 4 4 4 3 7 8 3 0 9 3 5 1 1 0 4 4 4 0 1 7 0 5 6 1 4 5 6 6 3 7 3 4 4 7 2 5 3 7 0 7 7 9 6 4 2 8 3 9 8 8 9 5 8 9 9 8 6 2 1 9 2 3 6 1 1 8 9 3 4 0 7 9 6 4 1 4 1 3 4 9 3 1 4 7 7 4 7 2 9 3 0 8 0 8 9 0 4 9 1 5 2 5 3 4 9 5 2 1 1 5 9 7 9 4 2 4 6 2 5 9 3 4 9 2 1 4 5 3 0 6 9 8 4 5 4 9 2 9 0 1 0 7 8 6 5 1 1 5 3 5 0 3 3 5 9 2 8 7 0 4 9 1 9 7 7 5 3 2 0 9 1 8 6 2 3 9 6 2 1 9 1 3 5 5 0 1 9 3 3 7 6 8 0 1 9 0 6 9 8 1 2 1 9 5 9 7 3 7 8 0 1 3 0 4 6 1 0 7 5 8 4 4 1 1 5 9 8 6 0 4 9 2 6 2 9 1 7 9 4 0 0 3 3 2 2 3 1 6 0 5 7 7 9 2 6 7 7 7 8 6 8 1 4 6 8 2 1 2 8 2 3 9 4 0 3 7 3 2 3 3 7 3 4 0 6 2 0 8 1 3 3 5 4 1 7 1 3 7 5 7 3 2 2 7 3 7 3 7 3 5 6 5 2 9 6 5 2 6 7 4 1 7 1 5 2 3 6 3 8 9 2 6 9 4 3 8 0 6 2 1 6 9 9 9 1 9 9 1 1 3 4 4 6 3 8 6 4 7 7 8 6 9 8 1 9 4 0 3 4 6 4 1 7 3 0 0 2 6 6 8 7 0 8 6 4 4 9 0 7 8 4 2 1 8 8 5 9 2 7 1 8 3 2 2 7 6 0 1 2 7 1 0 8 3 5 6 5 3 4 2 8 1 0 1 4 2 1 1 4 9 4 4 7 1 6 2 3 9 0 5 1 1 3 4 3 4 2 0 5 1 5 1 2 2 2 1 2 3 7 8 1 0 6 2 1 0 6 0 1 6 2 3 1 7 4 8 3 1 4 3 8 3 9 4 9 7 3 4 9 2 7 0 7 0 4 3 3 2 6 9 6 5 0 6 7 7 0 5 3 8 1 0 4 0 2 9 1 5 0 8 8 0 3 2 7 3 0 6 4 9 5 5 7 2 4 2 8 5 6 8 1 3 0 2 8 7 6 1 7 1 1 2 7 4 5 0 7 7 6 3 8 1 4 2 0 9 4 0 3 7 8 2 9 6 7 1 1 8 6 6 2 9 1 9 9 8 3 6 9 5 2 6 2 4 6 7 7 0 6 6 4 9 8 3 3 3 4 9 0 0 3 2 5 0 7 1 1 1 6 7 6 7 9 6 6 9 1 4 3 1 1 2 7 9 1 0 8 8 6 3 4 0 0 4 6 3 8 7 1 1 1 1 3 1 0 9 4 7 5 4 1 4 8 9 4 3 5 1 9 8 2 7 3 9 9 0 1 0 2 4 3 9 3 3 6 2 9 9 8 3 1 4 0 4 9 8 4 9 8 5 9 7 6 9 2 8 3 8 0 2 2 3 8 4 6 3 4 8 2 4 6 8 9 3 3 9 4 3 1 4 4 7 0 5 9 6 0 4 4 6 4 6 1 2 3 8 6 4 5 9 6 8 5 1 0 5 6 4 1 8 6 3 2 5 4 5 5 4 7 4 5 7 8 2 7 3 8 0 1 3 0 7 1 9 8 7 5 5 9 1 7 5 4 3 5 3 8 1 6 6 4 1 1 4 0 7 4 2 4 0 4 4 7 6 9 5 3 4 6 5 0 1 3 8 2 3 3 5 7 8 0 8 5 7 1 1 0 1 3 7 1 7 6 7 1 1 0 1 1 4 5 2 7 6 2 3 0 2 5 5 4 6 9 7 2 1 3 6 4 1 8 2 4 0 3 1 0 3 2 6 4 4 3 9 6 1 6 5 7 9 2 0 3 6 5 1 4 3 5 2 8 8 0 9 8 9 0 9 6 7 6 3 3 3 9 7 7 7 4 9 0 6 9 0 4 2 9 2 1 1 0 0 7 8 3 3 3 1 3 7 6 1 3 1 5 4 5 4 0 7 5 4 3 2 9 9 9 1 5 4 0 1 3 2 0 9 4 8 8 2 0 2 8 1 5 1 6 8 8 9 1 8 1 3 5 1 0 9 4 4 3 3 1 5 9 7 1 0 2 0 0 0 8 8 8 1 5 5 3 8 5 1 8 2 2 4 4 4 6 2 9 3 5 6 4 8 0 9 2 8 3 2 4 5 8 8 9 4 9 1 2 8 2 0 3 0 4 1 1 0 7 8 9 9 1 4 5 9 3 5 0 4 1 0 8 9 0 8 9 8 9 4 3 5 7 4 8 9 8 0 4 4 6 8 9 9 5 9 8 6 1 0 3 3 9 2 1 6 3 0 2 8 3 5 6 2 3 0 2 2 6 4 3 5 5 1 7 2 1 6 9 1 3 9 3 3 1 6 2 2 8 6 7 1 9 6 0 6 0 3 3 2 3 3 6 3 9 9 5 3 9 5 4 5 2 0 5 5 3 2 8 3 4 9 3 7 9 4 6 7 1 2 1 3 6 6 0 9 0 1 9 9 2 8 8 5 1 6 9 7 8 3 4 7 6 9 4 4 8 6 3 1 1 9 6 9 1 8 4 5 1 9 9 9 5 6 8 1 6 0 4 1 3 9 7 4 9 3 1 0 0 1 1 1 3 1 9 8 4 0 3 6 4 9 0 7 1 6 3 7 3 2 9 1 8 5 4 7 0 5 7 4 2 5 3 1 0 4 1 7 1 3 5 1 2 0 5 6 0 7 3 1 4 3 9 7 0 0 8 4 5 9 8 3 2 7 2 9 7 2 1 1 3 7 7 3 1 2 8 2 2 2 3 8 5 7 3 8 9 8 3 6 8 2 3 9 7 1 6 2 9 2 8 8 1 6 2 9 7 9 1 3 5 1 7 2 0 7 1 1 4 0 8 0 9 3 6 2 3 5 3 8 8 2 1 1 1 1 4 2 9 7 6 5 1 1 2 1 9 9 9 1 0 6 0 2 1 1 4 6 9 1 5 4 9 9 7 5 5 6 2 6 2 8 0 6 9 5 5 9 7 9 1 4 8 5 3 9 3 4 7 7 5 0 2 4 8 8 1 5 3 9 5 9 9 5 9 0 3 6 3 9 8 2 5 1 2 8 6 8 5 0 2 9 4 9 3 5 1 3 1 1 9 1 4 2 3 3 9 1 2 2 3 3 0 2 9 0 0 9 9 6 0 4 3 7 8 4 1 4 9 7 2 1 4 9 8 9 8 1 1 8 7 5 1 9 5 3 1 9 9 4 9 7 1 9 0 9 7 5 9 9 2 0 1 0 5 1 4 9 3 1 6 1 3 2 5 3 2 0 4 2 6 6 0 1 2 0 3 0 2 9 5 7 9 5 3 6 8 9 5 0 3 2 5 1 5 8 8 4 6 8 8 4 5 9 5 3 9 9 2 2 1 2 6 1 8 9 0 3 6 2 4 3 8 8 7 2 2 0 0 9 3 9 4 1 9 8 6 6 4 0 6 9 2 8 5 4 3 9 9 9 9 8 1 8 3 4 0 3 3 7 9 3 4 4 3 6 2 1 9 2 6 0 0 6 1 8 8 7 8 8 2 0 4 7 7 5 0 5 6 4 6 7 4 3 0 7 5 5 7 4 2 3 3 9 9 4 2 9 6 7 8 7 6 9 4 1 3 7 3 0 8 7 9 6 1 3 9 2 2 4 2 1 8 3 2 4 6 8 9 0 1 2 8 9 5 2 7 8 1 1 3 0 3 5 7 0 3 1 9 3 6 3 1 7 8 8 0 8 4 8 2 6 0 2 9 4 3 9 0 9 9 6 4 2 4 7 2 1 1 6 7 9 7 5 9 2 8 2 1 2 4 5 9 6 1 3 2 8 9 9 3 6 1 1 4 6 4 7 2 1 5 1 4 6 3 4 1 1 0 8 1 6 8 4 9 0 7 3 0 4 9 0 6 8 6 3 6 7 7 1 8 6 0 8 3 0 2 9 8 3 2 5 3 9 8 0 0 1 9 5 1 3 9 6 0 1 4 1 7 1 2 3 7 9 9 4 9 9 3 9 2 8 2 7 1 3 0 4 1 0 1 7 7 4 6 4 9 9 2 1 6 1 3 5 7 1 9 7 6 9 3 7 6 1 9 9 5 3 6 2 9 8 1 2 2 5 5 2 3 7 2 1 0 1 0 4 5 2 0 2 8 9 5 1 7 8 1 1 2 9 2 8 4 0 5 0 7 3 8 9 7 7 8 5 8 6 9 8 1 3 8 0 3 1 7 1 5 5 1 2 5 7 4 9 3 5 4 7 1 2 0 1 1 6 0 7 3 9 7 9 9 6 0 8 6 4 8 7 7 9 1 8 5 9 7 2 3 4 0 2 1 3 3 5 5 7 3 4 0 7 6 8 3 0 8 7 8 4 5 9 4 9 3 3 5 6 6 3 0 9 3 1 5 8 9 3 4 9 0 8 9 1 2 8 8 6 2 1 3 7 9 3 1 1 9 7 0 9 1 7 4 5 7 1 2 1 1 3 0 6 6 1 2 4 8 7 6 6 9 8 1 0 0 2 2 0 5 9 3 8 4 6 6 2 7 9 5 1 3 2 4 3 6 1 9 9 4 7 2 5 4 1 9 9 2 7 3 0 1 3 6 1 1 4 1 1 1 5 6 0 7 0 7 3 3 2 3 7 2 9 4 9 9 1 3 1 5 1 8 7 4 0 0 5 8 2 2 9 2 2 7 9 9 2 7 3 1 3 4 9 4 1 7 3 6 3 8 3 1 2 8 6 9 9 1 7 0 7 7 3 3 2 9 0 3 4 9 8 4 1 0 6 0 9 6 8 6 1 1 4 8 9 2 3 5 5 9 4 2 1 9 4 3 9 6 0 4 0 6 0 1 2 2 4 7 8 9 0 1 2 2 4 7 8 9 0 1 2 5 4 5 6 7 8 9 8 8 4 7 1 6 2 1 0 9 7 1 9 3 1 4 7 2 0 9 1 4 8 9 6 2 0 6 2 1 1 1 1 7 2 4 7 5 2 9 4 5 8 4 2 9 7 0 0 7 5 1 1 7 6 6 6 8 2 2 7 7 4 0 2 4 2 1 8 9 6 1 0 5 9 6 9 8 0 2 0 8 2 9 6 5 0 1 2 3 4 5 6 7 0 1 2 3 9 5 6 7 8 9 0 1 2 3 4 5 6 7 8 5 9 4 7 4 7 7 3 9 8 8 3 1 5 8 2 7 4 2 1 5 4 5 5 8 6 4 4 4 1 8 7 5 5 1 6 9 1 3 6 3 3 2 8 6 9 9 6 5 5 3 3 8 1 6 5 6 8 1 9 7 6 8 3 7 9 7 0 9 0 0 3 1 9 3 0 2 0 1 0 1 0 4 0 1 0 4 7 9 6 2 6 2 2 8 9 0 1 2 3 4 5 6 7 9 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 0 5 6 6 0 8 0 2 3 7 7 4 7 1 9 1 7 1 4 0 0 4 1 7 5 7 1 3 3 3 6 6 9 7 4 3 0 2 5 2 6 0 8 9 4 3 5 4 8 1 5 9 0 6 4 3 6 3 3 8 1 4 7 5 7 2 2 0 0 1 7 7 9 5 9 8 9 6 8 9 2 3 6 1 2 9 1 9 5 2 6 2 4 8 4 6 3 0 1 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 4 2 0 9 0 1 5 8 8 0 2 7 8 4 4 6 1 0 4 5 3 9 4 2 0 5 0 1 3 2 9 1 6 0 1 1 8 0 4 7 7 6 3 6 0 7 3 5 4 2 4 1 8 3 5 6 7 0 6 7 1 2 5 8 1 9 3 8 2 8 7 6 7 1 4 6 2 9 0 0 1 2 3 4 3 6 7 0 1 2 3 4 3 3 1 2 3 9 1 9 5 9 3 0 8 0 7 7 1 1 8 9 3 6 7 2 3 8 1 2 9 3 3 7 1 7 1 1 0 3 4 2 6 4 9 4 8 7 6 9 1 5 6 0 5 5 5 3 5 9 7 9 8 5 9 6 9 3 0 3 8 9 1 8 1 6 0 0 1 2 3 9 5 6 9 8 9 0 1 2 3 4 5 6 9 1 9 0 1 2 3 9 5 6 9 8 9 3 5 3 2 9 3 2 1 4 5 5 3 3 2 1 3 9 7 2 5 2 8 9 1 4 8 9 8 1 0 0 9 7 8 7 5 0 6 1 3 7 4 6 1 2 5 0 7 9 9 0 3 8 4 6 5 1 8 6 5 9 0 0 0 3 9 1 6 4 2 6 6 0 4 5 4 1 3 8 6 3 9 9 5 9 3 7 8 5 6 4 9 6 2 8 0 9 1 0 1 2 3 4 5 6 7 8 9 0 1 2 7 6 6 0 1 2 3 4 5 6 8 7 1 3 2 6 0 7 5 9 9 6 0 9 4 1 3 2 1 2 3 8 3 2 6 5 6 8 2 7 4 8 1 8 0 5 2 9 4 1 4 2 1 9 6 7 9 0 4 6 1 7 3 8 7 2 9 0 5 8 3 9 0 5 7 1 6 1 0 9 3 3 4 4 0 6 2 3 4 2 9 4 6 0 0 2 0 1 4 5 6 9 8 9 0 1 2 6 4 0 6 7 8 0 1 2 3 4 3 6 7 8 9 8 9 1 3 7 3 2 8 0 9 3 9 9 0 9 1 1 3 8 8 6 3 2 1 8 3 2 6 3 6 2 6 1 3 6 3 1 9 2 1 9 6 0 4 6 1 9 3 8 9 2 9 6 3 8 0 3 9 1 6 1 0 9 6 8 3 4 2 3 9 4 6 0 0 2 0 1 2 3 9 3 6 7 8 9 0 1 2 3 4 3 6 7 8 9 0 1 2 8 4 3 6 7 8 9 8 6 3 0 6 8 9 4 1 9 3 5 6 9 8 9 1 4 0 3 3 2 1 3 9 0 7 6 0 1 7 0 6 8 9 3 1 7 9 8 6 0 9 1 7 7 1 3 2 3 1 4 2 0 0 7 8 9 6 9 9 3 3 4 7 6 3 6 3 6 9 6 3 5 2 9 6 9 0 2 3 3 1 3 3 9 7 8 7 2 2 3 7 9 3 2 1 3 1 3 0 1 2 8 4 5 6 7 8 3 0 1 2 3 4 5 6 7 0 8 0 1 2 3 4 8 6 7 8 0 1 8 6 5 3 0 7 0 4 1 4 3 6 7 2 3 1 6 1 8 8 6 0 1 3 0 2 7 5 7 6 2 8 1 8 0 6 0 6 0 2 0 6 1 5 8 4 3 0 1 5 4 4 8 5 7 5 7 8 3 4 2 8 5 2 0 7 1 8 0 1 0 7 5 5 6 8 4 7 7 0 0 3 4 4 3 8 6 2 0 1 2 8 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 8 3 9 5 5 2 6 8 4 9 1 9 1 2 3 5 9 6 9 1 1 1 2 9 5 6 8 1 2 0 7 7 5 8 2 9 8 9 0 4 6 7 1 3 4 5 6 0 3 6 8 7 0 4 2 7 4 7 5 4 3 4 2 8 1 5 1 2 0 2 5 6 4 3 0 0 0 3 3 5 7 0 6 4 8 8 6 3 4 6 9 9 8 2 7 7 1 0 1 2 9 4 5 6 7 8 9 0 1 2 3 4 6 6 7 8 0 1 2 3 4 5 6 7 8 2 1 7 2 5 0 8 0 2 7 6 8 3 6 0 2 7 6 6 1 2 8 8 7 7 4 7 7 3 7 4 5 4 3 3 8 4 1 1 9 7 4 3 7 3 3 0 2 2 5 6 6 3 5 6 5 9 9 8 4 1 0 6 6 9 6 8 8 5 6 1 1 9 8 9 2 3 5 5 9 4 4 1 9 2 9 2 0 2 0 4 0 0 1 2 8 4 9 8 9 0 1 2 3 7 8 9 0 1 2 3 4 7 8 9 7 3 0 3 1 8 9 6 8 0 2 6 8 3 2 8 1 2 0 7 1 0 4 4 5 8 0 6 6 3 1 5 1 8 5 9 4 0 7 5 8 8 3 5 9 2 6 2 5 3 1 7 3 0 1 4 9 6 0 0 4 2 8 1 4 0 5 2 9 2 5 8 9 5 0 1 2 4 5 6 0 1 2 3 4 5 6 7 1 2 3 4 5 1 0 4 5 6 6 3 4 4 2 7 1 0 6 4 4 1 2 3 7 9 2 0 5 1 3 7 1 5 6 3 1 1 1 4 0 2 4 0 2 4 7 8 0 7 0 6 9 3 2 8 6 7 6 7 5 1 0 9 1 6 7 2 9 7 9 5 8 6 2 6 2 8 1 9 5 0 1 1 3 4 4 9 1 8 6 8 9 0 1 2 3 4 5 6 7 5 5 5 1 2 3 4 7 8 9 5 1 7 8 9 9 8 9 8 4 8 7 7 3 3 7 6 5 6 1 9 0 1 7 6 3 2 1 7 1 3 9 1 7 6 8 4 2 4 3 0 7 5 2 4 4 7 2 4 4 0 1 2 3 4 2 6 7 8 4 0 1 2 3 4 4 6 4 0 1 4 2 4 7 8 1 3 5 1 8 7 2 1 4 8 3 4 4 8 0 7 4 2 6 3 4 8 1 6 0 1 0 0 2 8 7 1 1 4 0 4 8 3 6 8 0 3 8 8 0 6 9 2 6 1 8 6 9 0 4 0 6 1 4 4 0 8 4 1 2 7 6 8 3 0 6 2 0 1 2 3 4 3 6 7 8 9 0 1 2 3 4 6 6 7 8 9 0 1 2 3 4 5 6 7 8 9 2 1 7 2 3 0 8 0 2 7 8 8 3 0 6 0 2 7 6 6 1 2 8 8 7 7 4 7 7 3 7 9 5 4 3 3 3 4 3 9 1 1 9 7 6 3 7 3 3 0 6 5 3 6 3 6 5 6 6 9 9 8 4 1 0 6 3 9 6 8 9 5 6 1 1 9 8 9 6 3 5 9 9 4 6 1 9 4 9 1 3 7 2 0 6 0 4 8 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 3 8 0 7 1 6 7 5 5 6 9 0 1 5 0 8 3 4 3 1 5 0 0 9 5 3 9 9 3 7 6 9 2 9 5 7 2 6 4 9 8 9 4 1 2 2 3 8 1 3 2 9 4 8 8 2 2 1 2 8 6 5 1 6 7 2 1 3 9 3 8 7 5 1 0 9 4 8 3 5 0 6 6 3 7 6 9 7 4 8 9 1 5 6 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 9 5 4 0 1 7 9 1 1 4 2 9 9 4 3 7 8 2 4 9 3 3 6 9 9 5 8 6 7 0 6 8 2 6 8 9 3 2 9 6 1 7 4 8 8 9 0 9 3 9 5 5 6 9 4 1 0 3 7 5 8 7 7 8 2 9 7 1 2 6 9 2 5 2 3 6 6 5 0 8 2 8 1 6 1 0 4 8 1 6 1 9 0 1 4 5 6 7 8 9 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 9 8 4 0 0 7 2 4 3 8 6 5 3 4 6 3 3 6 1 4 7 8 0 3 1 9 0 1 9 1 2 7 0 1 3 8 4 9 2 7 6 5 4 9 9 8 2 9 1 5 2 3 4 3 1 9 0 9 3 6 8 7 0 1 0 5 8 2 7 7 0 1 2 3 9 5 6 7 8 9 0 1 2 3 4 8 6 7 8 9 0 1 2 3 9 5 6 7 8 9 1 7 4 8 1 5 6 5 7 2 8 6 3 3 8 6 5 4 0 9 1 9 2 9 1 5 1 3 2 2 3 0 6 9 8 7 6 9 0 8 8 1 4 0 6 1 2 6 9 2 2 3 5 5 1 6 7 7 9 6 2 9 4 7 0 2 8 4 0 0 8 8 8 5 1 3 7 8 9 8 8 9 8 9 8 9 0 2 6 5 6 7 8 7 5 8 1 3 5 3 1 2 3 4 5 6 1 2 3 4 6 0 1 2 4 5 6 7 8 1 7 2 4 1 8 1 4 9 6 8 4 5 3 2 8 8 3 8 5 6 7 5 6 1 6 8 7 0 1 0 0 8 1 0 1 5 8 4 2 3 9 7 6 9 1 9 0 6 7 1 2 3 8 2 8 5 5 2 7 5 3 1 8 2 2 3 0 2 8 4 9 7 5 7 7 4 1 9 2 2 9 8 3 8 6 7 5 0 1 2 3 4 5 6 7 0 9 0 1 2 3 4 5 6 7 0 9 0 1 2 3 4 5 6 7 8 9 0 0 7 8 6 4 5 3 7 8 6 6 6 6 4 3 8 8 3 0 1 9 2 3 4 1 9 1 2 7 0 1 3 8 2 9 2 7 4 2 6 5 5 4 4 1 1 5 7 6 8 8 1 4 3 1 9 0 9 8 6 8 7 5 1 0 5 5 2 7 7 0 1 2 3 4 3 6 7 8 9 0 1 3 9 4 3 8 9 0 1 2 3 4 3 6 7 8 9 2 1 3 1 3 9 9 8 3 3 7 0 7 7 5 7 9 9 4 7 0 3 4 1 3 8 1 4 8 4 1 8 6 6 4 6 3 3 5 3 3 5 7 2 3 9 6 9 2 6 2 1 0 0 8 3 3 3 0 8 7 4 9 3 0 9 7 0 0 4 6 0 9 1 6 2 7 6 8 3 5 2 1 8 3 3 6 1 0 2 1 4 0 1 2 3 4 8 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 8 7 6 4 7 6 2 3 9 8 7 8 6 9 8 3 2 2 8 4 8 0 6 5 0 2 0 1 1 2 9 6 8 2 1 0 6 5 2 9 7 2 3 9 2 7 1 8 3 8 1 9 5 5 0 1 8 9 8 2 6 0 4 5 0 2 2 3 6 7 8 9 9 3 0 3 1 4 9 0 4 9 0 1 2 3 4 6 7 8 0 8 2 2 4 0 7 8 9 0 8 4 2 4 0 7 8 9 9 7 0 9 0 8 4 8 8 0 9 2 4 7 8 4 6 1 0 4 9 4 4 0 4 0 1 6 9 3 2 9 1 6 0 8 8 8 8 7 6 2 6 0 7 2 4 8 7 0 6 8 8 2 4 8 8 8 2 8 7 6 8 8 8 6 2 9 3 0 1 2 3 4 5 6 7 8 9 0 1 6 3 4 5 6 7 9 9 0 1 2 3 4 5 6 7 8 9 8 9 5 7 0 3 1 6 8 4 1 5 6 4 2 7 8 1 3 4 3 4 7 2 0 5 0 1 9 2 3 2 3 5 5 7 8 4 9 9 8 1 1 9 0 7 8 3 4 8 6 3 8 0 9 6 2 6 0 1 0 6 2 3 8 9 0 7 2 3 4 5 5 2 8 5 4 6 6 6 7 7 1 8 6 1 5 2 4 7 9 4 0 0 0 1 2 3 9 8 6 8 8 9 0 1 2 3 9 5 6 7 8 9 0 1 2 3 6 5 6 9 0 1 3 1 5 1 8 4 9 8 6 6 0 0 1 1 9 8 6 6 8 8 4 2 9 7 0 2 1 0 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 5 7 8 9 8 6 5 9 7 0 2 3 4 8 8 5 1 5 2 3 0 1 4 1 3 2 6 4 3 0 7 2 7 4 6 5 0 5 9 4 8 9 5 3 1 7 4 7 6 5 4 0 0 0 6 4 0 6 3 7 7 4 4 3 9 2 8 9 6 0 4 5 3 8 8 7 1 4 0 4 8 5 2 3 9 0 1 9 1 5 1 7 4 5 6 2 1 6 8 8 0 2 2 3 4 7 8 9 0 1 4 3 4 6 7 8 9 0 1 2 3 4 7 8 9 2 4 5 3 8 0 9 5 8 5 0 5 4 6 7 0 7 7 1 6 9 1 3 6 2 3 8 2 3 8 9 5 8 8 7 1 7 1 1 0 3 4 6 6 4 7 4 2 8 4 2 9 2 7 4 2 2 6 6 5 3 4 8 5 7 6 9 0 6 3 0 4 1 6 0 0 1 2 3 4 5 6 7 0 1 4 3 4 7 8 9 0 1 2 3 4 7 2 5 1 6 4 3 9 9 0 9 7 1 6 4 3 6 6 0 9 8 6 5 7 0 0 1 7 4 3 2 4 1 3 7 6 4 7 7 7 9 8 9 3 6 2 6 3 5 8 0 5 4 7 1 3 1 7 7 6 2 0 4 1 7 3 3 9 1 6 4 3 9 8 2 1 8 6 4 1 4 5 6 5 0 1 2 3 4 5 6 7 0 9 0 1 2 3 4 5 6 7 8 9 0 3 2 3 4 5 6 7 0 9 6 9 7 0 2 3 4 3 8 5 1 3 0 1 2 1 3 2 0 7 2 6 4 0 8 9 9 8 9 8 3 1 7 4 7 0 0 6 6 6 3 7 9 2 6 9 8 7 1 4 0 4 0 5 2 3 9 0 1 9 1 5 1 7 6 1 2 1 6 8 0 1 2 3 4 0 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 2 3 0 6 7 8 1 0 4 0 6 6 3 4 4 0 8 1 0 6 4 9 7 2 9 2 0 9 8 3 9 1 5 2 3 1 6 7 3 7 8 4 0 2 9 0 2 4 7 8 0 7 0 6 9 3 2 4 8 6 0 5 7 0 1 0 8 1 6 7 2 9 7 9 5 6 5 2 6 2 8 1 7 5 3 7 3 3 0 1 1 3 8 4 9 4 3 1 8 6 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 8 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 3 5 3 2 9 3 2 1 4 5 5 2 3 2 1 3 9 7 2 1 2 8 9 1 8 8 7 8 1 0 0 6 7 7 8 7 5 0 6 1 5 7 4 6 1 2 5 0 7 9 9 0 3 4 4 9 4 1 8 6 5 9 0 0 0 3 7 1 6 4 6 0 4 5 4 1 3 8 6 3 9 9 5 9 2 7 8 5 6 4 7 6 2 2 0 9 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 6 4 2 6 4 7 5 5 4 7 2 9 3 9 3 8 2 0 9 5 6 0 1 0 6 5 3 5 3 8 0 0 3 4 1 5 3 0 8 3 0 6 2 7 8 1 7 1 3 8 5 4 2 0 9 7 6 7 4 1 6 2 6 7 1 9 8 0 6 9 4 9 9 6 2 3 7 1 9 2 2 5 3 7 8 0 1 2 3 4 7 8 9 0 1 2 3 4 7 8 9 0 1 7 8 9 8 9 2 6 1 3 5 4 8 2 6 4 3 4 5 9 2 0 8 9 9 9 7 3 8 7 4 4 9 8 5 8 2 6 6 2 3 1 3 2 7 3 1 9 0 1 1 3 5 0 7 8 1 5 1 4 6 0 0 4 9 1 6 6 9 0 7 6 1 1 0 8 8 8 4 2 8 5 4 6 6 2 4 8 2 2 8 6 2 4 2 1 4 8 9 6 1 7 2 4 4 5 8 0 0 1 6 6 8 3 7 2 8 4 2 1 6 1 0 6 7 8 3 9 6 3 0 1 2 3 4 5 6 7 8 9 0 8 2 3 4 5 6 7 8 4 0 1 2 3 4 0 6 7 8 9 1 6 8 9 9 0 1 2 4 4 3 7 4 4 4 0 3 8 7 5 3 2 1 7 5 3 9 5 2 5 1 1 6 2 1 3 8 6 4 2 6 2 5 5 0 2 9 0 6 3 1 7 9 1 9 2 6 7 6 6 8 7 4 9 2 1 3 3 0 5 5 3 0 3 7 9 7 0 8 7 9 1 7 8 0 3 5 3 6 0 1 2 8 4 5 6 7 8 9 0 1 2 3 4 8 6 7 8 8 0 1 2 3 4 7 8 9 6 9 8 6 9 7 8 7 2 8 8 9 3 0 0 1 0 4 8 6 2 5 3 0 3 4 2 5 3 0 8 3 0 6 1 7 8 0 9 2 6 7 1 9 6 9 4 8 9 6 7 1 2 5 3 7 8 0 1 2 4 9 6 7 8 9 0 1 3 4 5 6 7 5 0 1 3 4 7 8 9 7 5 5 1 9 9 7 1 0 0 5 9 7 1 7 2 2 3 6 8 3 2 0 0 6 1 7 5 8 6 2 9 4 8 8 7 1 0 8 7 7 5 8 5 3 4 6 1 1 5 5 0 7 2 2 6 4 1 2 4 1 5 4 2 0 4 8 6 1 9 0 2 5 6 9 3 6 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 5 6 7 8 1 0 9 3 7 5 1 8 6 9 0 4 1 9 3 8 4 4 7 0 1 9 2 8 7 8 2 3 9 6 0 6 5 5 3 3 3 9 4 1 1 0 6 1 0 0 6 2 1 1 3 4 7 7 8 8 7 8 4 6 0 4 0 7 0 3 6 8 9 1 5 9 9 8 7 2 4 9 4 3 6 2 2 5 2 2 5 5 9 4 1 7 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 0 1 2 9 5 3 4 4 0 0 6 8 6 6 5 9 2 9 4 9 7 1 4 0 7 7 5 7 2 3 1 4 4 8 9 8 6 1 8 3 8 8 3 9 8 8 4 7 7 6 2 1 9 8 7 8 8 7 2 2 3 9 3 3 5 5 0 7 4 5 6 5 1 4 1 1 6 8 2 6 1 5 0 1 2 3 4 5 6 7 8 7 0 1 2 5 4 5 6 7 8 9 0 1 2 8 4 5 6 7 8 8 0 6 0 8 2 3 7 9 4 7 1 9 1 7 1 4 0 0 8 7 5 7 1 8 2 2 1 6 9 7 1 2 0 2 6 5 8 9 9 8 5 4 8 1 5 9 5 6 6 8 8 1 4 7 5 2 3 0 1 7 8 7 6 8 8 2 3 5 1 6 9 5 2 0 1 2 3 4 5 6 7 8 9 0 1 0 3 4 0 6 7 8 9 0 1 0 3 8 6 6 7 8 7 7 1 6 1 8 0 4 4 3 7 1 8 7 5 8 5 3 0 0 0 5 8 6 0 3 8 1 0 3 0 8 7 4 7 0 9 5 7 1 7 1 6 6 4 6 0 8 7 6 4 9 9 5 3 7 4 3 0 8 5 6 1 1 3 2 1 0 0 1 8 3 4 7 8 9 0 1 8 3 4 5 6 7 8 0 1 2 3 4 7 8 9 8 8 3 9 5 1 8 6 8 8 1 7 1 7 3 5 6 9 1 1 1 8 1 2 0 7 7 1 8 8 7 1 3 7 3 4 6 1 7 0 4 8 7 7 5 4 3 4 8 8 1 1 1 2 8 3 3 1 7 0 6 1 8 1 4 9 8 8 7 7 1 0 1 7 8 8 0 1 2 9 4 5 6 7 8 0 2 2 8 4 7 8 9 7 8 6 4 1 9 2 8 4 4 7 0 1 9 2 8 7 8 2 6 0 0 6 3 8 8 9 1 4 0 6 1 0 0 0 0 1 1 7 7 8 4 6 0 7 0 3 6 8 7 1 2 2 4 9 4 2 6 4 1 7 2 6 6 0 1 8 8 4 5 6 7 8 9 0 1 2 3 9 8 6 -------------------------------------------------------------------------------- /classificationforKNN.txt: -------------------------------------------------------------------------------- 1 | 7 2 1 0 4 1 4 9 5 9 0 6 9 0 1 5 9 7 3 4 9 6 6 5 4 0 7 4 0 1 3 1 3 4 7 2 7 1 2 1 1 7 4 1 3 5 1 2 4 4 6 3 5 5 6 0 4 1 9 5 7 8 9 3 7 4 6 4 3 0 7 0 2 9 1 7 3 7 9 7 7 6 2 7 8 4 7 3 6 1 3 6 9 3 1 4 1 7 6 9 6 0 5 4 9 9 2 1 9 4 8 7 3 9 7 9 4 4 9 2 5 4 7 6 7 9 0 5 8 5 6 6 5 7 8 1 0 1 6 4 6 7 3 1 7 1 8 2 0 2 9 9 5 5 1 5 6 0 3 4 4 6 5 4 6 5 4 5 1 4 4 7 2 3 2 7 1 8 1 8 1 8 5 0 8 9 2 5 0 1 1 1 0 9 0 1 1 6 4 2 3 6 1 1 1 3 9 5 2 9 4 5 9 3 9 0 3 6 5 5 7 2 2 7 1 2 8 4 1 7 3 3 8 8 7 9 2 2 4 1 5 9 8 7 2 3 0 6 4 2 4 1 9 5 7 7 2 8 2 6 8 5 7 7 9 1 8 1 8 0 3 0 1 9 9 4 1 8 2 1 2 9 7 5 9 2 6 4 1 5 8 2 9 2 0 4 0 0 2 8 1 7 1 2 4 0 2 7 4 3 3 0 0 3 1 9 6 5 0 5 7 7 9 3 0 4 2 0 7 1 1 2 1 5 3 3 9 7 8 6 5 4 1 3 8 1 0 5 1 3 1 5 5 6 1 8 5 1 4 9 4 6 2 2 5 0 6 5 6 3 7 2 0 8 8 5 9 1 1 4 0 7 3 7 6 1 6 2 1 9 2 8 6 1 9 5 2 5 4 4 2 8 3 8 2 4 5 0 3 1 7 7 5 7 9 7 1 9 2 1 4 2 9 2 0 4 9 1 4 8 1 8 4 5 9 8 8 3 7 6 0 0 3 0 8 0 6 9 9 3 3 3 2 3 9 1 1 6 8 0 5 6 6 6 7 8 8 2 7 5 8 9 6 1 8 4 1 2 6 9 1 9 7 5 4 0 8 9 9 1 0 5 2 3 7 0 9 4 0 6 3 9 5 2 1 3 1 3 6 5 7 7 2 2 6 3 2 6 5 4 8 9 7 1 3 0 3 8 3 1 9 3 4 4 6 4 2 1 8 2 5 4 1 8 4 0 0 2 3 2 7 1 0 8 7 4 4 7 9 6 9 0 9 8 0 9 6 0 6 3 5 4 8 3 3 9 3 3 3 7 8 0 3 7 1 7 0 6 5 4 3 8 0 9 6 3 8 0 9 9 6 8 6 8 5 7 8 6 0 2 4 0 2 8 3 1 9 7 5 1 0 8 4 6 2 6 7 9 9 2 9 8 2 2 9 1 7 3 5 9 1 8 0 2 0 5 6 1 3 7 6 7 1 2 5 8 0 3 7 7 4 0 9 1 8 6 7 1 4 3 4 9 1 9 5 1 7 3 9 7 6 9 1 3 7 8 3 3 6 7 2 4 5 8 5 1 1 4 4 3 1 0 7 7 0 7 9 9 4 8 5 5 4 0 8 2 1 0 8 4 5 0 4 0 6 1 7 3 2 6 7 2 6 9 3 1 4 6 2 5 9 2 0 6 2 1 7 3 4 1 0 5 4 3 1 1 7 4 9 9 9 8 4 0 2 4 5 1 1 6 4 7 1 9 4 2 4 1 5 5 3 8 3 1 4 5 6 8 9 4 1 9 3 8 0 3 2 5 1 2 8 3 4 4 0 8 8 3 3 1 7 3 5 9 6 3 2 6 1 3 6 0 7 2 1 7 1 4 2 4 2 1 7 9 6 1 1 2 4 3 1 7 7 4 3 0 7 3 1 3 1 0 7 7 0 3 5 5 2 7 6 6 9 2 8 3 5 2 2 5 6 0 8 2 9 2 8 8 8 8 7 4 9 3 0 6 6 3 2 1 3 2 2 9 3 0 0 5 7 8 1 4 4 6 0 2 9 1 4 7 4 7 3 9 8 8 4 7 1 2 1 2 2 3 7 3 2 3 9 1 7 4 0 3 5 5 8 6 5 0 6 7 6 6 3 2 7 9 1 1 7 4 6 4 9 5 1 5 3 4 7 8 9 1 1 0 9 1 4 4 5 4 0 6 2 2 3 1 5 1 2 0 3 8 1 2 6 7 1 6 2 3 9 0 1 2 2 0 8 9 9 0 2 5 1 9 7 8 1 0 4 1 7 9 5 4 2 6 8 1 3 7 5 4 4 1 8 1 3 8 1 2 5 8 0 6 2 1 1 1 1 5 3 4 6 9 5 0 9 2 2 4 8 2 1 7 2 4 9 4 4 0 9 9 2 2 3 3 4 3 5 7 3 5 8 1 2 4 4 6 4 9 5 1 0 6 9 5 9 5 9 7 3 8 0 3 7 1 3 6 7 8 5 9 7 9 6 8 6 3 7 4 6 5 8 5 4 7 8 7 8 0 7 6 8 8 7 3 3 1 9 5 2 7 3 5 1 1 2 1 4 7 4 7 5 4 5 4 0 8 3 6 9 6 0 2 7 4 4 4 4 6 6 4 7 9 3 4 5 5 8 7 3 9 2 7 0 2 4 1 1 1 6 9 2 8 7 2 0 1 5 0 4 1 7 0 6 0 8 6 8 1 8 0 3 3 7 2 3 6 2 1 6 1 1 3 7 9 0 8 0 5 4 0 2 8 2 2 9 8 4 0 9 5 8 5 1 2 1 3 1 7 9 5 7 2 0 5 8 8 6 2 5 4 1 9 2 1 5 8 1 0 2 4 4 3 6 8 8 2 9 0 5 0 4 4 7 9 3 4 1 5 9 7 3 5 8 8 0 9 3 3 6 6 0 1 6 0 3 7 4 4 1 2 9 1 4 6 9 9 3 9 8 4 4 3 1 3 1 3 8 7 9 4 8 8 1 9 7 1 4 5 6 0 5 2 2 2 1 5 5 2 4 9 6 2 7 7 2 2 1 1 2 8 3 7 8 4 1 7 1 7 6 7 3 2 7 3 1 7 5 8 2 6 2 2 5 6 6 0 9 2 4 3 3 9 7 6 6 8 0 4 1 5 8 2 9 1 8 0 6 7 2 1 0 5 5 2 0 2 2 0 2 4 9 8 0 9 9 4 6 5 4 9 1 9 3 4 9 9 1 2 2 1 1 9 6 4 0 9 4 8 3 8 6 0 2 5 1 9 6 2 9 4 0 9 6 0 6 2 5 4 2 3 8 1 5 5 0 3 8 5 3 5 8 6 5 7 6 3 3 9 6 1 1 2 9 0 4 3 3 6 9 5 7 3 7 7 7 8 1 9 8 3 0 7 2 7 9 4 5 4 9 3 2 1 4 0 2 3 7 5 9 8 8 5 0 1 1 4 7 3 9 0 0 0 6 6 2 3 7 8 4 7 7 9 2 4 1 6 5 2 4 3 9 1 8 4 0 3 8 4 8 7 7 0 7 8 8 6 0 9 8 8 2 4 7 6 6 6 4 7 1 8 8 2 3 6 3 0 0 3 7 6 9 7 9 9 5 4 3 3 6 1 2 3 7 3 3 2 0 3 3 8 4 3 6 3 5 0 2 0 9 0 7 4 6 9 3 5 1 9 6 1 4 5 4 5 0 5 9 5 2 1 2 9 1 9 9 4 0 8 4 5 2 9 2 1 2 1 7 3 6 8 8 4 9 1 9 8 5 7 5 1 1 8 6 5 2 4 4 7 2 3 5 6 8 8 6 2 3 1 0 5 8 9 2 9 6 7 0 9 8 7 1 7 4 1 0 3 7 2 0 0 9 1 1 0 7 8 4 9 2 0 4 6 0 3 1 1 3 3 9 6 7 4 1 3 3 0 8 7 3 9 6 9 3 5 0 2 7 4 5 1 1 5 8 0 8 8 1 5 0 3 0 3 1 4 0 3 7 2 7 1 8 0 7 0 4 3 1 9 7 7 7 1 4 9 9 3 7 1 7 9 0 2 0 3 3 7 6 9 2 3 3 7 7 0 0 7 5 2 9 5 7 4 4 2 6 6 1 9 6 9 2 9 0 8 3 1 1 6 3 5 1 1 1 3 1 2 3 0 2 0 1 3 5 5 7 4 7 9 6 9 6 8 3 6 6 8 5 1 4 2 4 9 5 1 1 9 0 2 4 9 5 7 1 8 3 5 6 9 8 7 1 1 6 7 6 3 2 2 0 8 9 2 5 1 0 8 1 4 5 7 9 6 9 0 6 1 5 5 8 3 8 2 6 5 0 7 4 6 1 3 4 7 3 2 3 4 2 5 2 7 1 7 2 6 4 1 5 7 8 6 0 1 8 2 5 7 7 6 9 3 5 2 4 2 4 0 8 8 3 4 9 2 7 5 1 6 5 6 0 8 6 7 3 6 4 9 4 6 6 3 0 4 1 0 1 4 6 2 9 1 1 0 6 3 9 5 6 5 6 5 8 4 6 4 3 9 1 3 4 1 9 1 7 1 1 9 3 5 4 0 7 3 6 1 7 5 5 3 3 0 1 5 7 5 8 6 5 1 0 8 7 3 4 6 7 9 8 1 4 9 9 2 8 6 2 7 0 0 6 1 5 8 6 0 9 3 9 1 3 5 4 3 3 5 5 6 3 0 1 3 4 2 3 0 9 9 4 7 2 1 4 7 0 6 0 8 5 2 8 5 7 3 0 8 2 4 2 8 2 5 5 7 6 4 0 8 4 8 2 7 4 5 2 0 3 2 9 6 7 2 5 1 1 1 2 3 6 7 8 7 6 4 8 9 4 8 6 3 8 3 1 0 6 2 2 5 6 9 5 8 1 4 1 7 2 4 6 1 8 4 3 1 2 3 0 8 5 9 2 4 2 5 0 7 0 1 0 2 5 7 6 7 9 1 2 6 2 4 4 8 0 4 4 5 8 0 6 8 9 8 5 6 9 0 4 8 7 1 3 4 6 8 0 9 1 3 3 6 9 8 7 1 0 5 7 1 7 5 2 7 9 1 8 5 2 4 9 4 7 2 2 3 4 9 1 9 2 1 7 9 4 4 6 6 7 2 7 8 8 1 9 7 1 1 7 5 3 3 5 1 3 7 6 1 3 8 7 5 9 6 0 0 2 8 8 7 3 7 1 3 0 3 4 4 3 8 9 2 3 9 7 1 1 7 0 4 9 6 5 9 1 1 0 2 0 0 4 6 7 0 7 1 4 6 4 3 4 9 9 1 7 9 5 3 3 8 2 3 6 2 2 1 1 1 1 1 6 9 8 4 3 7 1 6 4 5 0 9 7 4 2 4 0 7 0 1 9 8 8 6 0 0 4 1 6 8 2 2 3 8 4 8 2 2 1 7 5 4 4 0 4 3 1 7 3 1 0 1 2 5 9 2 1 0 1 8 9 1 4 8 3 8 9 3 6 2 8 3 2 2 1 0 4 1 9 2 4 3 7 9 1 5 2 9 9 0 3 8 5 3 5 0 9 4 6 2 5 0 0 7 4 6 6 8 6 6 8 6 9 1 7 2 5 9 9 0 7 2 7 6 7 0 6 5 7 4 7 2 0 9 9 2 2 9 4 4 2 3 3 2 1 7 0 7 6 4 1 3 8 7 4 5 9 2 5 1 8 7 3 7 1 5 5 0 9 1 4 0 6 1 3 6 0 4 9 7 5 1 6 8 9 5 5 7 9 3 8 3 8 1 5 3 5 0 5 5 3 8 6 7 7 7 3 7 0 5 9 0 2 5 5 3 1 7 7 8 6 5 9 3 8 9 5 3 7 9 1 7 0 0 3 7 2 5 8 1 8 6 2 9 5 7 5 1 8 6 2 5 1 4 8 4 5 8 3 0 6 2 7 3 3 2 1 0 7 3 4 0 3 9 3 2 8 9 0 3 8 0 7 6 5 4 7 3 0 0 8 6 2 5 1 1 0 0 4 4 0 1 2 3 2 7 7 8 5 2 5 7 6 9 1 4 1 6 4 2 4 3 5 4 3 9 5 0 1 5 3 8 9 1 9 7 9 5 5 2 7 4 6 0 1 1 1 0 4 4 7 6 3 0 0 4 3 0 6 1 9 6 1 3 8 1 2 5 6 2 7 3 6 0 1 9 7 6 6 8 9 2 9 5 8 3 1 0 0 7 6 6 2 1 6 9 3 1 8 6 9 0 6 0 0 0 6 3 5 9 3 9 5 5 8 5 3 0 4 0 3 9 6 8 2 3 1 2 1 1 5 6 9 8 0 6 6 5 5 3 8 6 2 1 4 5 4 3 7 8 5 0 9 3 5 1 1 0 4 4 7 0 1 7 0 1 6 1 4 5 6 6 5 7 8 4 4 7 2 5 3 7 0 7 7 9 6 4 2 8 5 7 8 3 9 5 8 9 9 8 6 2 8 9 2 3 6 1 1 8 9 3 4 0 7 9 6 4 1 4 1 3 4 9 3 1 4 7 7 4 7 2 9 3 0 8 0 8 4 0 4 9 1 5 2 8 3 4 9 5 2 8 1 5 3 7 9 4 2 5 6 3 5 9 3 5 9 2 1 9 5 3 0 6 9 8 4 0 4 5 2 9 0 1 0 7 1 6 5 8 1 5 5 3 0 3 5 5 9 2 8 7 0 4 9 1 9 7 7 5 5 2 0 9 1 8 6 2 3 9 6 2 1 9 1 3 5 5 0 3 8 3 3 7 6 6 0 1 4 0 6 9 8 1 2 1 9 5 9 7 3 7 8 0 1 3 0 4 6 1 0 2 5 8 4 4 1 1 5 4 6 6 0 6 9 2 6 2 7 1 7 9 4 0 0 3 8 2 2 3 1 6 0 5 7 7 9 2 6 7 7 7 6 6 8 8 4 6 8 4 1 2 8 2 3 9 4 0 3 7 3 2 3 3 7 3 4 0 6 2 0 8 1 5 3 5 4 1 7 1 5 7 5 7 3 2 2 7 3 7 3 7 8 5 4 5 2 9 6 5 3 6 7 4 1 7 1 5 2 3 6 3 1 4 2 6 1 4 3 8 0 6 2 1 6 5 3 9 1 9 3 2 1 8 4 4 6 5 8 6 4 7 7 8 6 9 7 3 9 4 0 5 4 6 4 1 2 3 0 0 2 6 6 5 7 0 8 6 4 7 9 0 7 3 4 2 1 8 8 5 9 2 7 1 8 8 3 2 7 6 0 1 2 7 1 0 8 3 6 0 5 3 6 2 8 1 0 1 4 2 1 1 4 4 4 4 7 1 6 2 9 9 0 0 1 8 8 4 3 4 2 0 6 1 6 1 2 2 2 1 2 3 1 8 1 0 0 2 1 0 6 0 1 6 2 5 1 7 4 8 2 1 4 3 8 3 9 9 4 9 3 4 7 2 7 5 7 0 4 3 3 2 6 7 6 0 0 6 7 7 0 5 5 8 1 0 7 0 2 8 1 5 0 8 8 0 3 2 7 7 2 6 4 9 5 5 9 2 9 2 8 4 6 8 6 5 0 0 8 7 6 1 7 1 1 2 7 4 0 0 7 7 6 3 8 6 4 2 0 9 4 0 5 7 8 2 7 4 7 1 1 3 6 6 6 9 1 9 4 8 3 6 9 5 9 6 2 4 6 7 7 0 6 6 9 9 8 3 5 3 4 9 0 0 5 2 5 0 7 1 1 1 6 7 6 7 9 6 6 4 1 4 3 1 1 2 2 9 1 0 8 7 6 3 4 0 0 6 3 3 0 7 1 7 1 1 5 1 0 9 9 7 5 4 1 4 8 9 5 3 5 1 9 8 2 7 3 9 9 0 1 0 2 9 3 9 3 3 6 2 9 9 8 3 7 4 0 4 7 8 4 9 8 1 9 7 5 9 2 8 2 2 0 2 2 3 8 4 6 8 4 8 2 4 6 7 9 3 3 9 4 3 1 4 4 7 0 5 9 6 0 4 4 4 4 6 1 2 3 3 6 4 5 9 6 8 5 6 0 5 6 4 1 8 6 5 2 5 4 5 5 4 7 7 0 7 8 2 2 3 7 0 1 8 0 7 1 9 8 7 5 5 9 1 7 5 4 3 1 7 2 1 6 6 7 1 1 4 0 7 4 2 4 0 6 4 7 6 9 5 3 4 6 5 0 1 8 8 2 0 3 5 7 8 0 8 5 7 1 1 0 1 3 7 8 5 0 7 1 1 0 1 1 4 8 2 7 6 2 3 0 2 0 5 9 6 9 7 2 1 3 6 4 1 8 2 4 0 5 1 0 2 2 6 4 4 3 9 6 1 6 5 7 9 2 0 2 6 0 1 4 3 4 2 8 8 0 8 8 9 0 9 6 7 6 3 9 3 4 7 7 7 4 9 0 6 4 8 4 2 7 2 8 1 0 0 7 8 3 3 3 1 3 7 6 1 3 1 6 6 5 1 4 7 5 9 5 8 4 9 9 1 6 5 0 1 3 1 0 3 4 8 2 2 0 2 5 1 5 1 6 8 8 9 1 2 1 3 5 1 0 9 4 4 8 3 1 5 9 7 6 6 2 0 0 0 5 8 1 1 5 3 3 8 5 1 8 2 6 4 9 9 6 2 3 3 5 6 4 8 0 9 2 8 3 6 7 5 1 2 9 4 9 1 2 8 6 0 7 0 9 1 1 0 7 5 9 9 1 9 5 9 2 5 0 4 1 0 8 9 0 8 9 8 9 4 2 5 7 9 8 9 8 0 9 9 6 8 9 9 5 9 8 6 1 0 3 3 5 2 1 6 3 0 2 8 1 5 6 2 3 0 2 2 6 4 3 5 5 1 7 2 1 6 9 1 3 9 5 5 1 6 2 2 8 6 7 1 4 6 0 6 0 3 3 2 1 3 6 8 9 8 5 3 8 5 4 5 2 0 5 6 3 2 8 3 9 9 5 7 9 4 6 7 1 3 1 3 6 6 0 9 0 1 9 9 2 8 8 0 1 6 9 7 5 3 4 7 4 9 4 4 3 6 3 1 1 9 6 9 1 8 4 1 1 9 9 9 3 6 8 1 6 0 4 1 3 7 7 4 9 5 1 0 0 1 1 6 2 1 9 8 4 0 3 6 4 9 0 7 1 6 5 7 5 2 5 1 8 5 4 7 0 6 7 2 2 5 8 1 0 4 5 7 1 3 5 1 3 0 0 6 0 7 3 1 8 3 9 7 0 0 8 9 5 9 8 3 2 7 2 9 7 2 1 1 3 7 5 3 1 9 8 2 2 2 5 8 5 7 3 8 9 8 8 6 8 2 3 9 7 5 6 2 9 2 8 8 1 6 2 8 7 9 1 8 0 1 7 2 0 7 5 1 9 0 2 0 9 8 6 2 3 9 3 8 0 2 1 1 1 1 4 2 9 7 7 5 1 1 2 1 9 9 9 1 0 2 0 2 1 1 4 6 9 1 5 4 9 9 7 1 5 6 2 2 2 8 0 6 9 6 1 9 7 7 1 4 8 5 3 4 3 4 7 7 5 0 7 4 8 8 1 5 3 9 5 9 7 6 9 0 3 6 3 9 8 2 1 1 2 8 6 8 5 5 3 9 4 9 2 5 1 5 1 4 4 1 4 4 3 3 9 1 2 2 3 3 0 2 9 0 0 9 9 6 0 9 3 7 8 4 1 9 9 7 2 7 9 9 5 9 5 1 1 8 7 5 1 9 5 3 5 4 9 5 9 5 1 9 0 9 7 5 4 9 2 0 1 0 5 1 4 9 3 3 6 1 5 2 5 3 2 0 2 2 6 6 0 1 2 0 3 0 2 5 5 7 9 5 5 0 8 9 5 0 3 2 5 9 0 8 8 4 0 8 8 4 5 4 8 5 9 9 2 2 1 2 6 8 8 7 0 3 6 6 4 3 8 8 7 2 2 0 0 9 3 9 9 1 9 8 6 6 4 2 6 9 2 8 5 4 5 7 9 9 9 2 1 8 3 4 0 1 8 7 9 3 4 6 5 6 2 3 9 2 6 0 0 6 1 7 8 7 9 8 2 0 4 7 7 5 0 5 6 4 6 7 4 3 0 7 5 0 7 4 2 0 8 9 9 4 2 4 6 7 8 7 6 9 4 1 3 7 3 0 8 7 7 6 1 3 9 2 7 9 2 1 8 3 2 9 6 8 4 0 1 2 8 4 5 2 7 8 1 1 3 0 3 5 7 0 3 1 9 3 6 3 1 7 7 3 0 8 4 8 2 6 5 2 9 7 3 9 0 9 9 6 4 2 9 7 2 1 1 6 7 4 7 5 9 6 8 2 1 9 4 5 7 6 1 3 2 5 9 9 3 6 1 1 4 6 9 7 2 1 5 1 4 6 3 8 1 1 0 3 1 6 8 4 9 0 7 3 0 2 9 0 6 6 6 3 6 7 7 2 8 6 0 8 3 0 2 9 8 5 2 5 3 9 8 0 0 1 9 5 1 3 9 6 0 1 4 1 7 1 2 3 7 9 7 4 9 9 3 9 2 8 2 7 1 3 0 9 1 0 1 7 7 9 6 9 9 9 2 1 6 1 3 5 9 1 9 7 6 4 5 7 6 1 9 9 6 3 6 2 9 8 1 2 2 5 9 2 3 7 2 1 0 1 0 4 5 2 8 2 8 3 5 1 7 8 1 1 2 9 7 6 4 0 5 0 7 8 8 4 7 7 8 5 8 4 9 8 1 3 8 0 3 1 7 9 5 5 1 6 5 7 4 9 3 5 4 7 1 2 0 8 1 6 0 7 3 4 7 8 9 6 0 8 6 4 8 7 7 9 3 8 6 9 7 2 3 4 0 2 1 0 5 5 5 7 2 4 6 7 2 8 3 0 8 7 8 4 0 8 4 4 5 8 5 6 6 3 0 9 3 1 6 8 9 3 4 9 5 8 9 1 2 8 8 6 8 1 3 7 9 0 1 1 9 7 0 8 1 7 4 5 7 1 2 1 1 3 9 6 2 1 2 6 0 7 6 6 9 3 1 0 5 2 2 0 5 4 3 8 4 6 6 2 7 9 5 1 3 2 4 3 6 1 9 4 4 7 6 5 4 1 9 9 2 7 8 0 1 3 6 1 3 4 1 1 1 5 6 0 7 0 7 2 3 2 5 7 2 9 4 9 8 1 2 1 6 1 2 7 8 0 0 0 8 2 2 9 2 2 1 9 9 2 7 5 1 3 4 9 4 1 8 5 6 2 8 3 1 2 8 4 9 9 3 7 0 7 7 2 3 2 4 0 3 4 9 8 4 1 0 6 0 9 6 8 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 4 3 9 6 0 4 0 6 0 1 2 3 4 7 8 9 0 1 2 3 4 7 8 9 0 1 2 3 4 5 6 7 8 9 8 3 4 7 8 6 3 1 0 9 7 1 9 3 8 4 7 3 0 9 1 4 5 4 6 2 0 6 2 1 1 1 1 7 2 4 7 5 2 9 4 5 8 4 2 9 7 0 0 7 5 1 1 7 6 6 6 8 2 2 7 7 4 0 2 4 2 1 8 9 6 1 0 5 9 6 9 8 0 3 0 8 3 9 6 3 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 5 4 4 7 4 7 7 3 9 8 8 3 1 5 8 2 7 4 2 1 5 4 5 5 8 6 4 4 4 1 8 7 5 5 1 8 9 1 3 6 3 3 2 2 6 9 9 6 5 5 3 3 8 1 6 5 6 8 1 9 7 6 8 3 7 4 7 0 9 0 0 3 7 9 3 0 2 0 1 0 1 0 4 0 1 0 4 7 9 6 2 6 2 2 9 9 0 1 2 3 4 5 6 7 9 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 0 5 6 6 0 8 0 2 3 7 9 4 7 1 9 1 7 1 4 0 0 4 1 7 5 7 1 3 3 3 1 6 9 7 4 3 0 2 5 2 6 0 8 9 4 3 5 4 8 1 5 9 0 6 4 3 6 3 3 8 1 4 7 5 7 2 2 0 0 1 7 7 9 5 9 8 9 6 8 8 2 3 6 1 2 9 8 9 5 2 6 2 4 8 4 6 5 0 1 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 4 2 0 9 0 1 5 8 8 0 2 7 8 4 4 6 1 0 4 5 3 9 4 2 0 5 0 1 3 2 9 6 6 0 1 1 8 0 4 7 7 6 3 6 0 7 3 5 4 2 4 1 8 3 5 6 7 0 6 7 1 2 5 8 1 9 3 8 2 8 7 6 7 1 4 6 2 9 3 0 1 2 3 4 5 6 7 0 1 2 3 4 5 0 1 2 8 9 1 4 0 9 5 0 8 0 7 7 1 1 2 9 3 6 7 2 3 8 1 2 9 8 8 7 1 7 1 1 0 3 4 2 6 4 7 4 2 7 4 9 1 0 6 8 5 5 5 3 5 9 7 4 8 5 9 6 9 3 0 3 8 9 1 8 1 6 0 0 1 2 3 4 5 6 9 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 1 5 6 7 8 9 3 5 3 2 9 3 2 1 4 5 5 2 3 2 1 3 9 7 2 1 2 8 9 1 8 8 7 8 1 0 0 7 7 8 7 5 0 6 1 5 7 4 6 1 2 5 0 7 9 9 0 3 8 4 4 8 1 8 6 5 9 0 0 0 3 7 1 6 1 2 6 6 0 4 5 4 1 3 8 6 3 9 9 5 9 3 7 8 5 6 4 9 6 2 2 0 9 1 0 1 2 3 4 5 6 7 8 9 0 1 2 9 5 6 0 1 2 3 4 5 6 8 7 1 3 2 8 0 7 5 9 9 6 0 9 4 1 3 2 1 2 3 8 3 2 6 5 6 8 2 7 4 8 1 8 0 5 3 9 4 1 9 2 1 9 6 7 9 0 4 6 1 7 3 8 7 2 9 6 5 8 3 9 0 5 7 1 6 1 0 9 3 3 4 4 0 6 2 5 4 2 3 4 6 0 0 2 0 1 4 5 6 9 8 9 0 1 2 6 4 5 6 7 8 0 1 2 3 4 5 6 7 8 9 8 7 1 3 7 5 2 8 0 7 5 9 9 0 9 1 1 5 8 8 6 3 2 1 8 3 2 6 5 6 9 4 1 0 5 3 1 9 2 1 9 6 0 4 6 1 7 3 8 7 2 9 6 5 8 3 5 7 1 6 1 0 9 6 2 5 4 2 3 4 4 6 0 0 2 0 1 2 3 9 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 8 4 5 6 7 8 9 8 6 5 0 6 8 9 4 1 9 5 9 0 4 8 9 1 4 0 5 5 2 1 5 4 0 7 6 0 1 7 0 6 8 9 9 1 7 9 8 6 0 8 1 7 7 1 3 2 5 1 4 2 0 0 7 8 4 6 4 9 8 8 4 7 2 5 6 3 6 9 6 3 0 2 4 6 9 0 2 5 5 1 3 3 9 7 8 7 2 2 5 7 9 8 2 1 5 1 3 0 1 2 8 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 5 0 1 2 3 4 5 6 7 8 9 1 2 6 5 3 0 7 0 4 1 4 3 6 7 2 3 1 2 1 2 9 6 0 1 3 0 2 7 5 7 6 2 9 1 9 0 6 0 6 0 2 0 6 1 5 8 4 3 0 1 5 4 4 8 5 7 5 7 8 3 4 8 8 5 2 0 7 1 3 8 1 0 7 5 5 6 9 4 7 7 0 0 3 4 4 3 8 6 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 8 3 9 5 5 2 6 8 4 9 1 7 1 2 3 5 9 6 9 1 1 1 2 9 5 6 8 1 2 0 7 7 5 8 2 9 8 9 0 4 6 7 1 3 4 5 6 0 3 6 8 7 0 4 2 7 4 7 5 4 3 4 2 8 1 5 1 2 0 2 5 6 4 3 0 0 0 3 3 5 7 0 6 4 8 8 6 3 4 6 9 9 8 2 7 7 1 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 2 3 4 5 6 7 8 2 1 7 2 5 0 8 0 2 7 8 8 3 6 0 2 7 6 6 1 2 8 8 7 7 4 7 7 3 7 4 5 4 3 3 8 4 1 1 9 7 4 3 7 3 3 0 2 5 5 6 6 3 5 2 5 9 9 8 4 1 0 6 0 9 6 8 8 5 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 3 9 2 0 6 0 4 0 0 1 2 3 4 7 8 9 0 1 2 3 7 8 9 0 1 2 3 4 7 8 9 7 3 0 3 1 8 7 6 4 0 2 6 8 3 2 8 1 2 0 7 1 0 4 4 5 8 0 6 2 3 1 5 1 8 5 9 4 0 7 5 8 8 3 8 9 2 6 2 5 3 1 7 3 0 1 9 9 6 0 3 9 2 8 1 4 3 5 2 9 2 5 8 9 5 0 1 2 4 5 6 0 1 2 3 4 5 6 7 1 2 3 4 5 1 0 4 5 6 6 3 4 4 2 9 1 0 6 4 9 7 2 3 3 9 2 0 9 1 3 7 1 5 2 3 1 7 8 4 0 2 4 0 2 4 7 8 0 7 0 6 9 3 2 8 6 7 6 7 5 1 0 8 1 6 7 2 9 7 9 5 8 6 2 6 2 8 1 7 5 0 1 1 3 7 4 9 1 8 6 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 7 8 9 5 1 7 8 9 9 8 9 8 4 1 7 7 3 3 7 6 6 6 1 9 0 1 7 6 3 2 1 7 1 3 9 1 7 6 8 4 1 4 3 6 9 6 1 4 4 7 2 4 1 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 9 0 1 2 3 4 7 8 1 3 5 1 7 7 2 1 4 8 3 4 4 3 9 7 4 1 2 3 5 9 1 6 0 1 0 0 2 7 7 1 1 4 0 4 7 3 6 8 0 3 7 4 0 6 9 2 6 5 8 6 9 0 4 0 6 1 9 2 0 9 5 1 3 7 6 9 3 0 2 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 2 1 7 2 5 0 8 0 2 7 8 8 3 0 6 0 2 7 6 6 1 2 8 8 7 7 4 7 7 3 7 4 5 4 3 3 8 4 5 4 1 1 9 7 4 3 7 3 3 0 2 5 5 6 3 1 5 2 5 9 9 8 4 1 0 6 0 9 6 8 8 5 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 4 9 1 3 9 2 0 6 0 4 0 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 3 8 0 7 1 0 7 5 5 6 9 0 1 0 0 8 3 4 3 1 5 0 0 9 5 3 4 9 3 7 6 9 2 4 5 7 2 6 4 9 4 9 4 1 2 2 5 8 1 3 2 9 4 3 8 2 2 1 2 8 6 5 1 6 7 2 1 3 9 3 8 7 5 7 0 7 4 8 8 5 0 6 6 3 7 6 9 9 4 8 4 1 0 6 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 4 0 4 0 1 7 9 5 1 4 2 9 9 4 3 7 8 2 4 4 3 3 6 9 9 5 8 6 7 0 6 8 2 6 3 9 3 2 9 6 1 7 4 8 8 9 0 3 3 9 0 5 2 9 4 1 0 3 7 5 8 7 7 8 2 9 7 1 2 6 4 2 5 2 3 6 6 5 0 0 2 8 1 6 1 0 4 3 1 6 1 9 0 1 4 5 6 7 8 9 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 9 8 4 0 0 7 2 4 3 8 6 6 3 2 6 3 3 0 1 4 7 8 0 3 1 9 0 1 9 1 2 7 0 1 7 8 2 9 2 7 6 5 5 9 9 8 2 9 1 3 2 3 4 3 1 9 0 9 3 6 8 7 0 1 0 5 8 2 7 7 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 7 4 8 1 5 6 5 7 2 8 6 3 3 8 6 5 4 0 9 1 7 2 9 1 5 1 3 2 2 3 0 6 4 3 7 6 9 0 4 8 1 4 0 6 1 2 6 9 2 2 3 5 5 1 0 7 7 9 6 2 9 4 7 0 2 3 4 0 0 8 8 8 5 1 3 7 4 9 8 8 9 0 9 8 9 0 2 6 5 6 7 4 7 5 4 1 3 5 3 1 2 3 4 5 6 1 2 3 4 6 0 1 2 4 5 6 7 8 1 7 2 4 1 4 1 4 9 6 8 4 5 3 1 8 7 3 3 5 6 7 0 6 1 6 8 7 0 1 5 0 8 5 0 1 5 8 4 2 3 9 7 6 9 1 9 0 6 7 1 2 3 9 2 4 5 5 3 7 5 3 1 8 2 2 3 0 2 9 4 9 7 0 7 7 4 9 9 2 5 9 8 3 8 6 7 0 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 0 7 2 6 5 5 3 7 8 6 6 6 6 4 3 8 8 3 0 1 9 0 5 4 1 9 1 2 7 0 1 3 8 2 9 2 7 1 2 6 5 5 9 9 1 1 5 7 6 8 2 9 4 3 1 9 0 9 8 6 8 7 0 1 0 5 8 2 7 7 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 8 9 0 1 2 3 4 5 6 7 8 9 2 1 0 1 3 9 9 8 5 3 7 0 7 7 5 7 9 9 4 7 0 3 4 1 5 8 1 4 8 4 1 8 6 6 4 6 0 5 5 3 3 5 7 2 5 9 6 9 2 6 2 1 2 0 8 3 8 3 0 8 7 4 9 5 0 9 7 0 0 4 6 0 9 1 6 2 7 6 8 3 5 2 1 8 3 8 6 1 0 2 1 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 6 4 7 6 2 3 4 8 7 8 6 9 8 3 2 2 8 4 8 5 6 5 0 2 0 1 1 2 9 6 8 2 1 0 6 5 2 9 7 6 3 9 3 7 1 8 3 8 1 9 5 5 0 1 1 9 8 2 6 0 4 5 0 3 1 8 6 7 5 9 9 3 0 3 1 4 4 0 4 9 0 1 2 3 5 6 7 8 0 1 2 3 5 6 7 8 9 0 1 2 3 5 6 7 8 9 9 7 0 9 0 1 5 8 8 0 9 3 2 7 8 4 6 1 0 4 9 4 2 0 5 0 1 6 9 3 2 9 1 6 0 1 1 8 9 7 6 3 6 0 7 2 4 1 7 0 6 7 1 2 5 8 1 8 2 8 7 6 8 7 1 6 2 9 3 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 9 5 7 0 3 1 6 8 4 1 5 6 4 2 7 8 1 3 4 3 4 7 2 0 5 0 1 9 2 3 2 3 5 5 7 8 4 9 9 7 1 1 9 0 7 8 3 4 8 6 3 8 0 9 6 2 1 0 1 0 6 2 3 8 9 0 7 2 3 4 5 5 2 8 5 4 6 6 6 7 9 1 8 2 1 5 3 4 7 9 4 0 0 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 6 5 6 9 0 1 3 1 5 1 2 4 9 8 1 6 8 0 1 1 9 2 6 6 8 7 4 2 9 7 0 2 1 0 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 6 5 9 7 0 2 3 4 3 8 5 1 5 2 3 0 1 2 1 3 2 6 5 3 0 7 2 7 4 6 4 0 5 9 9 8 9 5 3 1 7 4 7 6 5 4 0 0 6 6 2 0 6 3 7 7 4 4 3 9 2 8 9 6 0 9 5 3 8 8 7 1 4 0 4 8 5 2 3 9 0 1 9 1 5 1 7 4 8 6 2 1 6 8 8 0 1 2 5 4 7 8 9 0 1 2 3 4 6 7 8 9 0 1 2 3 4 7 8 9 1 4 5 3 3 0 9 5 4 5 0 7 4 6 7 0 7 7 1 6 9 1 3 6 2 3 8 2 3 8 9 5 8 8 7 1 7 1 1 0 3 4 2 6 4 7 4 2 7 4 2 9 2 7 9 2 1 6 6 5 3 4 8 5 9 6 9 0 6 3 0 8 1 6 0 0 1 2 3 4 5 6 7 0 1 2 3 4 7 8 9 0 1 2 3 4 7 2 5 1 6 4 3 9 9 0 9 7 1 6 4 3 6 2 0 9 8 6 5 7 0 0 1 7 4 3 2 4 1 3 7 6 4 7 7 7 9 8 4 3 5 2 8 3 5 8 0 5 1 7 1 3 1 7 9 6 2 0 9 1 7 3 3 9 1 6 4 3 9 8 2 1 8 6 4 1 5 5 6 5 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 6 9 7 0 2 3 4 3 8 5 1 3 0 1 2 1 3 2 0 7 2 6 4 0 5 9 9 8 9 5 3 1 7 4 7 0 0 6 6 6 3 7 9 2 8 9 8 7 1 9 0 4 8 5 2 3 9 0 1 9 1 5 1 7 6 1 2 1 6 8 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 2 3 5 6 7 8 1 0 4 5 6 6 3 4 4 2 8 1 0 6 4 9 7 2 9 2 0 9 3 3 9 1 5 2 3 1 6 7 3 7 8 4 0 2 4 0 2 4 7 8 0 7 0 6 9 3 2 4 8 6 0 5 7 5 1 0 8 1 6 7 2 9 7 9 5 6 5 2 6 2 8 1 7 5 5 7 3 5 0 1 1 3 8 4 9 4 5 1 8 6 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 3 5 3 2 9 3 2 1 4 5 5 2 3 2 1 3 9 7 2 1 2 8 9 1 8 8 7 8 1 0 0 6 7 7 8 7 5 0 6 1 5 7 4 6 1 2 5 0 7 9 9 0 3 4 4 8 4 1 8 6 5 9 0 0 0 3 7 1 6 4 6 0 4 5 4 1 3 8 6 3 9 9 5 9 3 7 8 5 6 4 7 6 2 2 0 9 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 6 4 2 6 4 7 5 5 4 7 2 9 3 9 3 8 2 0 9 5 6 0 1 0 6 5 3 5 3 8 0 0 3 4 1 5 3 0 8 3 0 6 2 7 8 1 7 1 3 8 5 4 2 0 9 7 6 7 4 1 6 2 6 7 1 9 8 0 6 9 4 9 9 6 2 3 7 1 9 2 2 5 3 7 8 0 1 2 3 4 7 8 9 0 1 2 3 4 7 8 9 0 1 7 8 9 8 9 2 6 1 3 5 4 8 2 6 4 3 4 5 9 2 0 3 9 4 9 7 3 8 7 4 4 9 8 5 8 2 6 6 2 3 1 3 2 7 3 1 9 0 1 1 3 5 0 7 8 1 5 1 4 6 0 0 4 9 1 6 6 9 0 7 6 1 1 0 1 2 3 4 2 2 3 4 5 6 2 0 1 2 7 8 6 3 9 7 1 9 3 9 6 1 7 2 4 4 5 7 0 0 1 6 6 8 2 7 7 2 4 2 1 6 1 0 6 9 8 3 9 6 3 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 6 8 9 9 0 1 2 4 4 3 7 4 4 4 0 3 8 7 5 8 2 1 7 5 3 8 5 2 5 1 1 6 2 1 3 8 6 4 2 6 2 5 5 0 2 8 0 6 8 1 7 9 1 9 2 6 7 6 6 8 7 4 9 2 1 3 3 0 5 5 8 0 3 7 9 7 0 2 7 9 1 7 8 0 3 5 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 7 8 9 6 4 2 6 4 7 8 9 2 9 3 9 3 0 0 1 0 4 2 6 3 5 3 0 3 4 1 5 3 0 8 3 0 6 1 7 8 0 9 2 6 7 1 9 6 9 4 9 9 6 7 1 2 5 3 7 8 0 1 2 4 5 6 7 8 9 0 1 3 4 5 6 7 5 0 1 3 4 7 8 9 7 5 5 1 9 9 7 1 0 0 5 9 7 1 7 2 2 3 6 8 3 2 0 0 6 1 7 5 8 6 2 9 4 8 8 7 1 0 8 7 7 5 8 5 3 4 6 1 1 5 5 0 7 2 3 6 4 1 2 4 1 5 4 2 0 4 8 6 1 9 0 2 5 6 9 3 6 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 5 6 7 8 1 0 9 5 7 5 1 8 6 9 0 4 1 9 3 8 4 4 7 0 1 9 2 8 7 8 2 5 9 6 0 6 5 5 3 3 3 9 8 1 1 0 6 1 0 0 6 2 1 1 3 2 7 7 8 8 7 8 4 6 0 2 0 7 0 3 6 8 7 1 5 9 9 3 7 2 4 9 4 3 6 2 2 5 3 2 5 5 9 4 1 7 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 0 1 2 7 5 3 4 4 0 0 6 9 6 6 5 7 2 3 4 4 9 1 4 0 7 9 5 7 2 3 1 4 4 0 9 9 6 1 8 3 3 7 3 9 8 8 4 7 7 6 2 1 9 8 7 8 8 7 2 2 3 9 3 3 5 5 0 7 9 5 6 5 1 4 1 1 2 8 2 6 1 5 0 1 2 3 4 5 6 7 8 9 0 1 1 3 4 5 6 7 8 9 0 1 2 8 4 5 6 7 8 8 0 6 0 1 2 3 7 9 4 7 1 7 1 7 1 4 0 0 1 7 5 7 1 3 5 3 1 6 9 7 1 3 0 7 6 0 8 9 4 3 5 4 8 1 5 9 0 6 6 3 8 1 4 7 5 1 0 0 1 7 8 9 6 8 8 2 3 6 1 2 9 5 2 0 1 2 3 4 5 6 7 8 9 0 1 0 3 4 0 6 7 8 9 0 1 2 3 4 6 6 7 8 9 7 4 6 1 4 0 9 7 3 7 8 0 7 5 8 5 3 0 2 0 5 8 6 0 3 8 1 0 3 0 4 7 4 9 0 9 0 7 1 7 1 6 6 5 6 0 8 7 6 4 9 9 5 3 7 4 3 0 4 6 6 1 1 3 2 1 0 0 1 2 3 4 7 8 9 0 1 8 3 4 5 6 7 8 0 1 2 3 4 7 8 9 0 8 3 9 5 5 2 6 8 4 1 7 1 7 3 5 6 9 1 1 1 2 1 2 0 7 7 5 8 2 9 8 6 7 3 4 6 8 7 0 4 8 7 7 5 4 3 4 2 5 1 5 1 6 2 3 3 5 7 0 6 8 6 3 9 9 8 2 7 7 1 0 1 7 8 9 0 1 0 9 4 5 6 7 8 0 1 2 3 4 7 8 9 7 8 6 4 1 9 3 8 4 4 7 0 1 9 2 8 7 8 2 6 0 6 5 3 3 8 9 1 4 0 6 1 0 0 6 2 1 1 7 7 8 4 6 0 7 0 3 6 8 7 1 5 2 4 9 4 3 6 4 1 7 2 6 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 -------------------------------------------------------------------------------- /classificationforNN.txt: -------------------------------------------------------------------------------- 1 | 7 2 1 0 4 1 4 9 6 9 0 6 9 0 1 5 9 7 3 4 9 6 6 5 4 0 7 4 0 1 3 1 3 4 7 2 7 1 2 1 1 7 4 2 3 5 1 2 4 4 6 3 5 5 6 0 4 1 9 5 7 8 9 2 7 4 6 4 3 0 7 0 2 9 1 7 3 2 9 7 7 6 2 7 8 4 7 3 6 1 3 6 9 3 1 4 1 7 6 9 6 0 5 4 9 9 2 1 9 4 8 1 3 9 7 4 4 4 9 2 5 4 7 6 7 9 0 5 8 5 6 6 5 7 8 1 0 1 6 4 6 7 3 1 7 1 8 2 0 9 9 3 5 5 1 5 6 0 3 4 4 6 5 4 6 5 4 5 1 4 4 7 2 3 2 7 1 8 1 8 1 8 5 0 8 9 2 5 0 1 1 1 0 9 0 3 1 6 4 2 3 6 1 1 1 3 9 5 2 9 4 5 9 3 9 0 3 5 5 5 7 2 2 7 1 2 8 4 1 7 3 3 8 8 7 9 2 2 4 1 5 3 8 7 2 3 0 2 4 2 4 1 9 5 7 7 2 8 2 0 8 5 7 7 9 1 8 1 8 0 3 0 1 9 9 4 1 8 2 1 2 9 7 5 9 2 6 4 1 5 8 2 9 2 0 4 0 0 2 8 6 7 1 2 4 0 2 7 4 3 3 0 0 3 1 9 6 5 2 5 1 7 9 3 0 4 2 0 7 1 1 2 1 5 3 3 9 7 8 6 3 6 1 3 8 1 0 5 1 3 1 5 0 6 1 8 5 1 7 9 4 6 2 2 5 0 6 5 6 3 7 2 0 8 8 5 4 1 1 4 0 7 3 7 6 1 6 2 1 9 2 8 6 1 9 5 2 5 4 4 2 8 3 8 2 4 5 0 3 1 7 7 5 7 9 7 1 9 2 1 4 2 9 2 0 4 9 1 4 8 1 8 4 5 9 8 8 3 7 6 0 0 3 0 8 0 6 9 9 5 3 3 2 3 9 1 2 6 8 0 5 6 6 6 3 8 8 2 7 5 8 9 6 1 8 4 1 2 5 3 1 9 7 5 4 0 8 9 9 1 6 5 2 3 7 0 9 4 0 6 3 9 9 2 1 3 1 3 6 5 7 1 2 2 6 3 2 6 5 4 8 9 7 1 3 0 3 8 3 1 9 3 4 4 6 4 2 1 8 2 5 4 8 3 4 0 0 2 3 2 7 1 0 8 7 4 4 7 9 6 9 0 9 8 0 9 6 0 6 3 5 4 8 3 3 9 3 3 7 7 8 0 1 8 1 7 0 6 5 4 3 3 0 9 6 3 8 0 9 9 6 8 6 8 5 7 8 6 0 2 6 0 2 8 3 1 9 7 5 1 0 8 4 6 2 6 7 9 9 6 9 8 2 2 9 2 7 3 5 9 1 8 0 2 0 5 2 1 3 7 6 7 1 2 5 8 0 3 7 8 4 0 9 1 8 6 7 7 4 3 4 9 1 9 5 1 7 3 9 7 6 9 1 3 2 8 3 3 6 7 2 4 5 8 5 1 1 4 4 3 1 0 7 7 0 7 9 9 4 8 5 5 4 0 8 2 1 6 8 4 5 0 4 0 6 1 7 3 2 6 7 2 6 9 3 1 4 6 2 5 9 2 0 6 2 1 7 3 4 1 0 5 4 3 1 1 7 4 9 9 9 8 4 0 2 4 5 1 1 6 4 7 1 9 4 2 4 1 5 5 3 8 3 1 4 5 6 8 9 4 1 5 3 8 0 3 2 5 1 2 8 3 4 4 0 8 8 3 3 1 2 3 5 9 6 3 2 6 1 3 6 0 7 2 1 7 1 4 2 4 2 1 7 9 6 1 1 2 4 8 1 7 7 4 8 0 7 3 1 3 1 0 7 7 0 3 5 5 2 7 6 6 9 2 8 3 5 2 2 5 6 0 8 2 9 2 8 8 8 8 7 9 9 3 0 6 6 3 2 1 5 2 2 9 3 0 0 5 7 8 1 4 4 6 0 2 9 1 4 7 4 7 3 9 8 8 4 7 1 2 1 2 2 3 7 3 2 3 9 1 7 4 0 3 5 5 8 6 5 0 6 7 6 6 3 2 7 9 1 1 2 4 6 4 9 5 1 3 3 9 1 8 9 1 1 0 9 1 4 4 5 4 0 6 2 2 3 1 5 1 2 0 3 8 1 2 6 7 1 6 2 3 9 0 1 2 2 0 8 9 9 0 2 5 1 9 7 8 1 0 4 1 9 9 5 4 2 6 8 1 3 7 5 4 4 1 8 1 3 8 1 2 8 8 0 6 2 1 1 9 1 5 3 4 6 9 5 0 9 2 2 4 8 2 1 7 2 4 9 4 4 0 3 9 2 2 3 3 8 3 5 7 3 5 8 1 2 4 4 6 4 9 5 1 0 6 9 5 9 5 9 7 3 8 0 3 7 1 3 6 7 8 5 9 7 9 6 3 6 3 7 4 6 5 3 5 4 7 8 7 8 0 7 6 8 8 7 3 3 1 9 5 2 7 3 5 1 1 2 1 4 7 4 7 5 4 5 4 0 8 3 6 9 6 0 2 7 4 4 4 4 6 6 4 7 9 3 4 5 5 8 7 3 7 2 7 0 2 4 1 1 1 6 9 2 8 7 2 0 1 5 6 4 1 9 0 6 0 4 6 8 1 5 0 3 3 3 2 3 6 2 1 6 1 1 3 7 9 0 8 0 5 4 0 2 8 2 2 9 8 4 0 4 5 8 5 1 2 1 3 1 7 9 5 7 2 0 5 8 8 6 2 5 6 1 9 0 1 5 8 1 0 2 4 4 3 6 8 8 2 4 0 5 0 4 4 7 9 3 4 1 5 9 2 3 5 8 8 0 9 3 3 6 6 0 1 6 0 3 7 4 4 1 2 9 1 4 6 9 9 3 9 8 4 4 3 1 3 1 3 8 7 9 4 8 8 2 9 9 1 4 5 6 0 5 2 2 6 1 5 5 2 4 9 6 2 7 7 2 2 1 1 2 8 3 7 2 4 1 7 1 7 6 7 2 2 7 3 1 7 5 8 2 6 2 2 5 6 6 0 9 2 4 3 3 9 7 6 6 8 0 4 1 3 8 2 9 1 8 0 6 7 2 1 0 5 5 2 0 2 6 0 2 9 9 8 0 9 9 4 6 5 4 9 1 8 3 4 9 9 1 2 2 1 1 9 6 4 0 9 9 8 3 8 6 0 2 5 1 9 6 2 9 4 0 9 6 0 6 2 5 4 2 7 8 4 5 5 0 3 8 5 3 5 8 6 5 7 6 3 3 9 6 1 1 2 9 0 4 3 3 6 9 5 0 3 7 7 7 8 1 9 8 3 0 7 2 7 9 4 5 4 9 3 2 1 4 0 2 3 7 5 9 8 8 0 0 6 1 4 8 3 9 0 0 0 6 6 2 3 7 8 4 9 7 9 2 4 1 6 5 2 4 8 9 1 8 4 0 9 8 4 8 7 7 0 7 8 8 6 0 4 8 8 2 4 7 6 6 6 4 9 1 8 8 2 3 6 3 0 0 3 7 6 9 7 9 9 5 4 3 3 6 1 2 3 7 3 3 6 0 3 3 8 4 3 6 3 5 0 2 0 9 0 7 4 5 9 3 5 1 9 6 1 9 5 4 5 0 5 9 5 2 1 3 9 1 9 9 4 0 8 4 5 2 9 2 1 2 1 7 3 6 8 8 4 9 1 9 8 5 9 5 1 1 8 6 5 0 4 4 7 2 3 5 6 8 8 6 2 3 1 0 5 8 9 2 9 6 7 0 4 8 7 1 7 4 1 0 3 7 2 0 0 9 1 7 0 7 8 4 9 2 0 4 6 0 3 1 1 3 3 9 6 7 4 1 5 3 0 8 7 3 9 6 9 3 5 0 2 7 2 5 1 2 5 8 0 8 8 1 5 0 3 0 3 1 4 0 3 7 2 4 1 8 0 7 0 4 3 1 9 8 7 7 1 4 9 9 3 9 1 7 9 0 2 0 3 3 7 6 9 2 3 3 7 7 0 0 7 5 2 9 8 7 4 4 2 6 6 1 9 6 8 2 9 0 8 3 1 1 6 3 5 1 1 1 3 1 3 3 0 2 0 1 3 5 5 7 4 8 9 6 9 6 9 3 6 6 8 5 1 4 2 4 4 5 1 1 9 0 2 4 9 5 7 1 8 3 5 0 9 8 9 1 1 6 7 6 3 2 2 0 8 9 2 5 1 0 8 1 4 5 7 9 6 9 0 6 1 5 5 8 3 8 2 6 5 0 7 4 6 1 3 4 7 3 2 3 4 4 5 2 7 1 7 2 6 6 1 5 5 8 6 0 1 8 2 5 7 7 6 8 3 5 2 4 2 4 0 8 8 3 4 9 2 7 5 8 6 5 6 0 5 6 7 3 6 4 9 4 6 5 3 0 4 1 0 1 4 6 2 9 1 1 0 6 3 9 5 6 5 6 5 8 4 6 4 3 9 1 3 4 1 9 1 2 1 1 9 3 5 4 0 9 3 6 1 7 5 5 3 3 4 1 3 7 5 8 6 5 1 0 8 7 3 4 6 7 9 8 1 8 9 9 2 8 6 2 7 0 0 6 7 5 8 6 0 9 3 4 1 3 5 4 3 3 5 5 6 3 0 2 3 4 2 3 0 9 9 4 7 2 1 4 7 0 6 0 8 5 2 8 5 7 3 0 0 2 7 2 8 2 5 5 7 6 4 0 8 4 1 2 7 4 5 2 0 3 9 9 6 7 2 5 1 1 1 3 3 6 7 8 7 6 4 8 9 9 8 6 3 8 3 1 0 6 2 2 5 6 9 5 8 1 4 1 7 8 4 6 1 8 4 5 1 2 8 0 8 5 9 3 4 2 5 3 7 0 1 0 2 5 7 6 7 9 4 2 6 2 4 4 8 0 4 4 5 8 0 6 8 9 8 5 5 9 0 4 8 7 1 3 4 6 8 0 9 1 3 3 6 9 8 7 1 0 5 7 1 7 5 2 7 9 1 8 5 2 4 9 4 7 2 2 3 4 9 1 9 2 1 7 9 4 4 6 6 7 2 7 8 0 1 9 7 1 1 7 5 3 3 5 1 3 7 6 1 3 8 7 5 9 6 0 0 1 8 8 8 3 7 1 3 0 3 4 4 3 8 9 2 3 9 7 1 1 7 0 4 9 6 5 9 1 7 0 2 0 0 4 6 7 0 9 1 4 6 4 5 4 9 9 1 7 9 5 3 3 8 2 3 6 2 2 1 1 1 1 1 6 9 8 4 3 7 1 6 4 9 0 9 7 4 2 4 0 7 0 1 0 8 8 6 0 0 4 1 6 8 2 2 3 8 4 8 2 2 1 7 5 4 4 0 4 3 8 7 3 1 0 1 2 5 9 2 1 0 1 8 9 1 4 8 3 3 9 3 6 2 8 3 2 1 1 0 4 2 9 2 4 3 7 9 1 5 2 4 9 0 3 8 5 3 6 0 9 4 6 2 5 0 0 7 4 6 6 8 6 6 8 6 9 1 7 2 5 9 9 0 7 2 7 6 7 0 6 5 4 4 7 2 0 9 9 2 2 9 4 4 2 3 3 2 1 7 0 7 6 4 1 3 8 7 4 5 9 2 5 1 8 7 3 7 1 5 5 0 9 1 4 0 6 3 5 6 0 4 9 9 5 1 6 8 9 5 5 7 4 3 8 3 8 1 5 3 5 0 5 5 3 8 6 7 7 7 3 7 0 5 9 0 2 8 7 3 1 7 7 8 6 5 9 3 8 9 5 3 7 9 1 7 0 0 3 7 2 5 1 1 8 6 2 9 5 7 5 3 8 6 8 5 1 4 8 4 5 8 3 0 6 2 7 3 3 2 1 0 7 3 4 0 3 9 3 2 8 9 0 3 8 0 7 6 5 4 7 3 0 0 8 6 2 5 1 1 0 0 4 4 0 1 2 3 2 7 7 8 5 2 5 7 6 9 1 4 1 6 4 2 4 3 5 4 3 9 5 0 1 5 3 8 9 1 9 7 9 5 5 2 7 4 6 0 1 1 1 0 4 4 7 6 3 8 0 4 3 0 6 1 9 6 1 3 8 1 2 5 6 2 4 3 6 0 1 9 7 6 6 8 9 2 9 5 8 3 1 0 0 7 6 6 2 1 6 9 3 1 8 6 9 0 6 0 0 0 6 3 5 9 3 9 5 5 8 5 3 0 4 0 3 9 6 8 2 3 1 2 1 1 5 6 9 8 0 6 6 7 5 3 8 6 2 1 4 5 4 3 7 8 5 0 9 3 5 1 1 0 9 4 7 0 1 7 0 1 6 1 4 5 6 6 5 7 8 4 9 7 2 5 3 7 0 7 7 9 6 4 2 8 5 7 8 3 9 5 8 9 9 8 6 2 8 9 2 3 6 1 1 8 9 3 4 0 7 9 6 4 1 4 1 3 4 9 3 1 4 7 7 4 7 2 9 3 0 8 0 8 4 0 4 4 1 5 2 8 3 9 9 5 2 8 1 5 3 3 9 4 2 5 6 0 5 9 3 0 9 2 1 9 5 3 0 6 9 8 4 0 4 7 2 9 0 1 0 9 1 6 5 8 1 5 5 5 0 3 5 5 9 2 8 7 0 4 9 1 9 7 7 5 5 2 0 9 1 8 6 2 3 9 6 2 1 9 1 3 5 5 0 3 8 3 3 7 6 6 0 1 4 0 6 9 8 1 2 1 9 5 9 7 3 7 8 0 1 3 0 4 6 1 0 2 5 8 4 4 1 1 5 4 6 6 0 6 9 2 6 2 7 1 7 9 4 0 0 3 8 2 2 3 1 6 0 5 7 7 9 2 6 7 7 7 8 6 8 8 4 6 8 4 1 2 8 3 3 9 4 0 3 7 3 2 3 3 7 3 4 0 6 2 0 8 1 5 3 5 4 1 7 1 5 7 5 7 3 2 2 7 3 7 5 7 8 5 6 5 2 9 6 5 3 6 7 4 1 7 1 5 2 3 0 3 1 4 2 6 1 4 3 8 0 6 2 1 6 5 3 9 1 9 3 2 1 8 4 4 6 5 8 6 9 7 7 8 6 9 7 1 9 4 0 5 4 6 4 1 2 3 0 0 2 6 6 5 7 0 8 6 4 4 9 0 7 3 4 2 1 8 8 5 9 2 7 1 8 8 3 2 7 6 0 1 2 7 1 0 8 3 5 0 5 3 6 2 8 1 0 1 4 2 1 1 4 4 4 4 7 1 6 2 8 9 0 0 1 8 8 4 3 4 2 0 6 1 6 1 2 2 2 1 8 3 1 8 1 0 0 2 1 2 6 0 1 6 2 5 1 7 4 8 2 1 4 3 8 3 9 9 4 8 3 4 7 2 7 5 7 0 4 3 3 2 6 7 6 0 0 6 7 7 0 5 5 8 1 0 6 0 2 8 1 5 0 8 8 0 3 2 7 7 0 6 4 9 5 5 7 2 9 2 8 4 6 8 6 5 0 0 8 7 6 1 7 1 1 2 7 4 0 0 7 7 6 3 8 6 4 2 0 9 4 0 5 7 8 2 9 4 7 1 1 3 6 6 2 9 1 9 4 8 3 6 9 5 9 6 2 4 6 7 7 0 6 6 9 9 8 3 5 3 4 9 0 0 5 2 5 0 7 1 1 1 0 7 6 7 9 6 6 4 1 4 3 1 1 2 2 4 1 0 8 7 6 3 4 0 0 6 3 3 0 7 1 7 1 1 3 1 0 9 9 7 5 4 1 4 8 9 5 3 5 1 9 8 2 3 3 9 9 0 1 0 2 9 3 9 3 3 6 2 9 9 8 3 7 4 0 4 7 8 4 9 8 1 9 7 5 9 2 8 2 2 0 2 2 3 8 4 6 8 4 8 2 4 6 7 9 3 3 9 4 3 1 9 4 7 0 5 9 6 0 4 4 4 4 6 1 2 3 2 6 4 5 9 6 8 5 6 0 5 6 4 1 8 6 5 2 5 4 5 5 4 7 4 0 7 8 2 2 3 7 0 1 8 0 7 1 9 8 7 5 5 9 1 7 5 4 3 1 2 2 1 6 6 0 1 1 4 0 7 4 2 4 0 6 4 7 6 9 5 3 4 6 5 0 1 8 8 2 3 3 5 7 8 0 8 5 7 1 1 0 1 3 7 8 5 0 7 1 1 0 1 1 4 5 2 7 6 2 3 0 2 8 5 9 6 9 7 2 1 3 6 4 1 3 2 4 0 5 1 0 3 2 6 4 4 3 9 6 1 6 5 7 9 2 0 2 6 0 1 4 3 5 2 8 8 0 8 8 9 0 9 6 7 6 3 9 3 9 7 7 7 4 9 0 6 4 8 4 2 7 2 8 1 0 0 7 8 3 3 3 1 3 7 6 1 3 1 6 6 5 2 4 7 5 9 5 1 4 9 9 1 6 4 0 1 3 2 0 3 4 8 2 2 0 2 8 1 5 1 6 8 8 9 1 2 1 3 5 1 0 9 4 4 8 3 8 5 9 7 6 0 2 0 0 0 8 8 3 1 5 4 3 8 5 1 8 2 0 4 9 9 6 2 3 3 5 6 4 8 0 9 2 8 3 6 7 5 1 2 9 4 9 1 2 8 2 0 7 0 9 1 1 5 7 0 9 9 1 9 5 9 3 5 0 4 1 0 8 9 0 8 9 8 9 4 3 5 7 9 8 9 8 0 9 9 6 8 9 9 5 9 8 6 1 0 3 3 5 2 1 6 3 0 2 8 3 5 6 2 3 0 2 2 6 4 3 5 5 1 7 2 1 6 9 1 3 9 5 5 1 6 2 2 8 6 7 1 4 6 0 6 0 5 3 2 8 3 6 8 9 8 5 3 8 5 4 5 2 0 5 6 3 2 8 3 9 9 3 7 9 4 6 7 1 3 1 3 6 6 0 9 0 1 8 9 1 8 8 0 1 6 9 7 5 5 4 7 4 9 9 4 3 6 3 1 1 9 6 9 1 8 4 1 1 9 9 9 3 6 8 1 6 0 4 1 3 9 7 4 9 5 1 0 0 1 1 6 2 1 9 8 4 0 5 6 4 9 0 7 1 6 5 7 5 2 5 1 8 5 4 7 0 5 7 9 2 5 3 1 0 4 5 7 1 5 5 1 3 0 0 6 0 7 3 1 8 3 9 7 0 0 8 4 5 9 8 3 2 7 2 9 9 2 1 1 3 7 5 3 1 9 8 2 2 2 8 8 5 7 3 8 9 8 8 6 8 2 3 9 7 1 6 2 9 2 8 8 1 6 2 8 7 9 1 8 0 1 7 2 0 7 1 1 4 0 8 0 9 3 6 2 3 0 3 8 0 2 1 1 1 1 4 2 9 7 6 5 1 1 2 1 9 9 9 1 0 2 0 2 1 1 4 6 4 1 5 4 9 9 7 7 5 6 2 3 2 8 0 6 9 5 3 9 7 7 1 4 8 5 3 4 3 4 7 7 5 0 7 4 8 8 1 5 3 9 5 9 9 6 9 0 3 6 3 9 8 2 8 1 2 8 6 8 5 5 3 9 4 9 2 5 1 5 1 4 4 1 4 4 3 5 9 1 2 2 3 3 0 2 9 0 0 9 9 6 0 9 3 7 8 4 1 9 9 7 2 7 9 9 3 9 5 1 1 8 7 5 1 9 5 3 5 4 9 5 9 3 1 9 0 9 7 5 4 9 2 0 1 0 5 1 4 9 3 3 6 1 5 2 5 2 2 0 9 2 6 6 0 1 2 0 3 0 2 9 8 7 9 5 5 0 8 9 5 0 3 2 5 4 0 8 8 4 5 8 8 4 5 4 8 5 4 9 2 2 1 2 6 8 8 7 0 3 6 6 4 3 8 8 7 2 2 0 0 9 3 9 9 1 9 8 6 6 4 2 6 9 2 8 5 4 5 7 9 9 9 2 1 8 3 4 0 7 8 7 9 3 4 6 5 6 2 3 9 2 6 0 0 0 1 8 8 7 9 8 2 0 4 7 7 5 0 5 6 4 6 7 4 3 0 7 5 0 7 4 2 6 8 9 9 4 2 4 6 7 8 7 6 9 4 1 3 7 3 0 8 7 7 6 1 3 9 2 2 9 2 1 8 3 2 9 6 8 4 0 1 2 8 4 5 2 7 8 1 1 3 0 3 5 7 0 3 1 9 3 6 3 1 7 3 3 0 8 4 8 2 6 5 2 9 7 3 9 0 9 9 6 4 2 9 7 2 1 1 6 7 9 7 5 9 8 8 2 1 2 4 5 9 6 1 3 2 5 9 9 3 6 1 1 4 6 9 7 2 1 5 1 4 6 3 4 1 1 0 3 1 6 8 4 9 0 7 3 0 4 9 0 6 8 6 3 6 7 7 2 8 6 0 8 3 0 2 9 8 5 2 5 3 9 8 0 0 1 9 5 1 3 9 6 0 1 4 1 7 1 2 3 7 9 7 4 9 9 3 9 2 8 2 7 1 8 0 9 1 0 1 7 7 9 6 9 9 9 2 1 6 1 3 5 2 1 9 7 6 4 5 7 6 6 9 9 6 3 6 2 9 8 1 2 2 5 5 2 3 7 2 1 0 1 0 4 5 2 8 2 8 3 5 1 7 8 1 1 2 9 7 8 4 0 9 0 7 8 8 4 7 7 8 5 8 6 9 8 1 3 8 0 3 1 7 8 5 5 1 6 5 7 4 9 3 5 4 7 1 2 0 8 1 6 0 7 3 4 7 3 9 6 0 8 6 4 8 7 7 9 3 8 6 9 7 2 3 4 0 2 1 0 3 5 5 7 2 4 0 7 2 8 3 0 8 7 8 4 0 8 4 4 5 8 5 6 6 3 0 9 3 1 6 8 9 3 4 9 5 8 9 1 2 8 8 6 8 1 3 7 9 0 1 1 9 7 0 8 1 7 4 5 7 1 2 1 1 3 0 6 2 1 2 6 8 7 6 6 9 3 1 0 5 2 6 0 5 4 3 8 4 6 6 2 7 9 5 1 3 2 4 3 6 1 4 4 4 7 6 5 4 1 9 9 2 7 8 0 1 3 6 1 3 4 1 1 1 5 6 0 7 0 7 3 3 2 5 2 2 9 4 9 8 1 3 1 5 1 2 7 4 0 0 0 8 2 2 9 2 2 1 9 9 2 7 5 1 3 4 9 4 1 3 5 6 3 8 3 1 2 8 4 9 9 1 7 0 7 7 2 3 2 4 0 3 9 9 8 4 1 0 6 0 9 6 8 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 4 3 9 6 0 4 0 6 0 1 2 3 4 7 8 9 0 1 2 0 4 7 8 9 0 1 2 8 4 5 6 7 8 9 8 3 4 7 1 6 6 4 0 9 7 1 9 3 8 4 7 6 0 9 1 4 5 4 6 2 0 6 2 1 1 1 1 7 2 4 7 5 2 9 4 5 8 4 2 9 7 0 0 7 5 1 1 7 6 6 6 8 2 2 7 7 4 0 2 4 2 1 8 9 6 1 0 5 9 6 9 8 0 6 0 8 3 9 6 3 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 5 4 4 7 4 7 7 3 9 4 8 3 1 5 8 2 7 4 2 1 5 4 5 5 8 6 4 4 4 1 8 7 5 5 1 8 9 1 3 6 3 3 2 2 6 9 9 6 5 5 3 3 8 1 6 5 6 8 1 9 7 6 8 3 7 4 7 0 9 0 0 3 2 9 3 0 2 0 1 0 1 0 4 0 1 0 4 7 9 6 2 6 2 2 9 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 0 5 6 6 0 8 0 2 3 7 9 4 7 1 9 1 7 1 4 0 0 4 1 7 5 7 1 3 3 3 6 6 9 7 4 3 0 2 5 2 6 0 8 9 4 3 5 4 8 1 5 9 0 6 4 3 6 3 3 8 1 4 7 5 7 2 2 0 0 1 7 7 9 5 9 8 9 6 8 8 2 3 6 1 2 9 8 9 5 2 6 2 4 8 4 6 5 0 1 5 6 7 8 9 0 1 2 3 6 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 4 2 0 9 0 1 5 8 8 0 2 7 8 4 4 6 1 0 4 5 3 9 4 2 0 5 0 1 3 2 9 8 6 0 1 1 8 0 4 7 7 6 3 6 0 7 3 5 4 2 4 1 8 3 5 6 7 0 6 7 1 2 5 8 1 9 3 8 2 8 7 6 7 1 4 6 2 9 3 0 1 2 3 4 5 6 7 0 1 2 3 4 5 0 1 2 8 9 1 4 0 9 5 0 8 0 7 7 1 1 2 9 3 6 7 2 3 8 1 2 9 8 8 7 1 7 1 1 0 3 4 2 6 4 7 4 2 7 4 9 1 0 6 8 5 5 5 3 5 9 7 4 8 5 9 6 9 3 0 3 8 9 1 8 1 6 0 0 1 2 3 4 5 6 9 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 5 5 3 2 9 3 2 1 4 5 5 0 3 2 1 3 9 7 2 5 2 8 9 1 8 8 7 8 1 0 0 7 7 8 7 5 0 6 1 5 7 4 6 1 2 5 0 7 9 9 0 3 8 4 6 6 1 8 6 5 9 0 0 0 3 7 1 6 4 2 6 6 0 4 5 4 1 3 8 6 3 9 9 5 9 3 7 8 5 6 4 7 6 2 2 0 9 4 0 1 2 3 4 5 6 7 8 9 0 1 2 9 6 6 0 1 2 3 4 5 6 8 7 1 3 2 6 0 7 5 9 9 6 0 9 4 1 3 2 1 2 3 8 3 2 6 5 6 8 2 7 4 8 1 8 0 5 3 9 4 1 9 2 1 9 6 7 9 0 4 6 1 7 3 8 7 2 9 6 5 8 3 9 0 5 7 1 6 1 0 9 3 3 4 4 0 6 2 5 4 2 3 4 6 0 0 2 0 1 4 5 6 9 8 9 0 1 2 3 7 5 6 9 8 0 1 2 3 4 5 6 7 8 9 8 9 1 3 7 5 2 8 0 9 5 9 9 0 9 1 1 5 8 8 6 3 2 1 8 3 2 6 5 6 0 0 1 0 5 3 1 9 2 1 9 6 0 4 6 1 7 3 8 9 2 9 6 5 8 3 3 7 1 6 1 0 9 6 2 5 4 2 3 9 4 6 0 0 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 9 4 5 6 7 8 9 8 6 5 0 6 8 9 4 1 9 3 9 0 4 8 9 1 4 0 5 5 2 1 5 4 0 7 6 0 1 7 0 6 8 9 5 1 7 9 8 6 0 8 1 7 7 1 3 2 3 1 4 2 0 0 7 8 4 6 4 9 3 8 4 7 2 5 6 3 6 9 6 3 0 2 9 6 9 0 2 5 5 1 3 8 9 7 8 7 2 2 5 7 9 8 2 1 8 1 3 0 1 2 8 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 8 6 5 3 0 7 0 4 1 4 3 6 7 2 3 1 2 1 2 9 6 0 1 3 0 2 7 5 7 6 2 9 1 9 0 6 0 6 0 2 0 6 1 5 8 4 3 0 1 5 4 4 8 5 7 5 7 8 3 4 8 8 5 2 0 7 1 3 8 1 0 7 5 3 6 9 4 7 7 0 8 3 4 4 3 8 6 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 8 3 9 5 5 2 6 8 4 9 1 7 1 2 3 5 9 6 9 1 1 1 2 9 5 6 8 1 2 0 7 7 5 8 2 9 8 9 0 4 6 7 1 3 4 5 6 0 3 6 8 7 0 4 2 7 4 7 5 4 3 4 2 8 1 5 1 2 0 2 5 6 4 3 0 0 0 3 3 5 7 0 6 4 8 8 6 3 4 6 9 9 8 2 7 7 1 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 2 3 4 5 6 7 8 2 1 7 2 5 0 8 0 2 7 6 8 3 6 0 2 7 6 6 1 2 8 8 7 7 4 7 7 3 7 4 5 4 3 3 8 4 1 1 9 7 4 3 7 3 3 0 2 5 5 6 6 3 5 6 5 9 9 8 4 1 0 6 0 9 6 8 8 5 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 2 9 2 0 6 6 4 0 0 1 2 3 4 7 8 9 0 1 2 3 7 8 9 0 1 2 3 4 7 8 9 7 3 0 3 1 8 7 6 4 0 2 6 8 3 2 8 1 2 0 7 1 0 4 4 5 8 0 6 2 3 1 5 1 8 5 9 4 0 7 5 8 8 3 8 9 2 6 2 5 3 1 7 3 0 1 9 9 6 0 5 9 2 8 1 4 0 5 2 9 2 5 8 9 5 0 1 2 4 5 6 0 1 2 3 4 5 6 7 1 2 3 4 5 1 0 4 5 6 6 3 4 4 2 9 1 0 6 4 9 7 2 3 3 9 2 0 4 3 3 7 1 5 6 3 7 2 1 4 0 2 4 0 2 4 7 8 0 7 0 6 9 3 2 8 6 7 3 7 5 1 0 9 1 6 7 2 9 7 9 5 8 6 2 6 2 8 1 7 5 0 1 1 5 4 4 9 1 8 6 8 5 0 1 2 3 4 5 6 7 8 9 0 1 8 3 4 7 8 9 5 1 7 8 9 9 8 9 8 4 1 7 7 3 3 7 6 6 6 1 9 0 1 7 6 3 2 1 7 1 3 9 1 7 6 8 4 1 4 3 6 9 6 1 4 4 7 2 4 4 0 1 2 3 4 9 6 7 8 9 0 1 2 3 4 5 6 9 0 1 6 3 4 7 8 1 3 5 1 7 7 2 1 4 8 3 4 4 3 9 7 4 1 6 3 5 9 1 6 0 1 0 0 2 8 7 1 1 4 0 4 7 3 6 5 0 3 7 4 0 6 9 2 6 5 8 6 9 0 4 0 6 1 9 4 0 9 5 1 3 7 6 9 3 0 2 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 2 1 7 2 5 0 8 0 2 7 8 8 3 0 6 0 2 7 6 6 1 2 8 8 7 7 4 7 7 3 7 4 5 4 3 3 8 4 5 4 1 1 9 7 4 3 7 3 3 0 2 5 5 6 3 1 5 2 5 9 9 8 4 1 0 6 0 9 6 8 8 5 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 4 9 1 3 9 2 0 6 0 4 0 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 3 8 0 7 1 0 7 5 5 6 9 0 1 0 0 8 3 4 3 1 5 0 0 9 8 3 4 9 3 7 6 9 2 4 5 7 2 6 4 9 4 9 4 1 2 2 5 8 1 3 2 9 4 3 8 2 2 1 2 8 6 5 1 6 7 2 1 3 9 3 8 7 5 7 0 7 4 8 8 5 0 6 6 3 7 6 9 9 4 8 4 1 0 6 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 4 0 4 0 1 7 9 5 1 4 2 8 9 4 3 7 8 2 4 4 3 3 6 9 9 5 8 6 7 0 6 8 2 6 3 9 3 2 9 6 1 7 4 8 8 9 0 3 3 9 0 5 2 9 4 1 0 3 7 5 8 7 7 8 2 9 7 1 2 6 4 2 5 2 3 6 6 5 0 0 2 8 1 6 1 0 4 3 1 6 1 9 0 1 4 5 6 7 8 9 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 9 8 4 0 0 7 2 4 3 8 6 6 3 2 6 3 3 0 1 4 7 8 0 3 1 9 0 1 9 1 2 7 0 1 3 8 2 9 2 7 6 5 5 9 9 8 2 9 1 3 0 3 4 3 1 9 0 9 3 6 8 7 0 1 0 5 8 2 7 7 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 7 4 8 1 5 6 5 7 2 8 6 3 3 8 6 5 4 0 9 1 7 2 9 1 5 1 3 2 2 3 0 6 4 3 7 6 9 0 9 8 1 4 0 6 1 2 6 9 2 2 3 5 5 1 0 7 7 9 6 2 9 4 7 0 2 3 4 0 0 8 8 8 5 1 3 7 4 9 8 8 9 0 9 8 9 0 2 6 5 6 7 4 7 5 4 1 3 5 3 1 2 3 4 5 6 1 2 3 4 6 0 1 2 4 5 6 7 8 1 7 2 4 1 4 1 4 9 6 8 4 5 3 1 8 8 3 3 5 6 7 0 6 1 6 8 7 0 1 5 0 8 6 0 1 5 8 4 2 3 9 7 6 9 1 9 0 6 7 1 2 3 9 2 4 5 5 3 7 5 3 1 8 2 2 3 0 2 9 4 9 7 0 2 7 4 9 9 2 5 9 8 3 8 6 7 0 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 0 7 2 6 5 5 3 7 8 6 6 6 6 4 3 8 8 3 0 1 9 0 5 4 1 9 1 2 7 0 1 3 8 2 9 2 7 4 2 6 5 5 9 9 1 1 5 7 6 8 2 9 4 3 1 9 0 9 3 6 8 7 0 1 0 5 8 2 7 7 0 1 2 3 4 5 6 7 8 9 0 1 3 3 4 5 8 9 0 1 2 3 4 5 6 7 8 9 2 1 2 1 3 9 9 8 5 3 7 0 7 7 5 7 9 9 4 7 0 3 4 1 5 8 1 4 8 4 1 8 6 6 4 6 0 5 5 3 3 5 7 2 5 9 6 9 2 6 2 1 2 0 8 3 8 3 0 8 7 4 9 5 0 9 7 0 0 4 6 0 9 1 6 2 7 6 8 3 5 2 1 8 3 8 6 1 0 2 1 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 6 4 7 6 2 3 4 8 7 8 6 9 8 3 2 2 8 4 8 5 6 8 0 2 0 1 1 2 9 6 8 2 1 0 6 5 2 9 7 8 3 9 3 7 1 8 3 8 1 9 5 5 0 1 8 9 8 2 6 0 4 5 0 3 1 8 6 7 5 9 9 3 0 3 1 4 4 0 4 9 0 1 2 3 5 6 7 8 0 1 2 9 5 6 7 8 9 0 1 9 3 5 6 7 8 9 9 7 0 9 0 1 5 8 8 0 9 3 2 7 8 4 6 1 0 4 9 4 4 0 5 0 1 6 9 3 2 9 1 6 0 1 1 8 9 7 6 3 6 0 7 2 4 1 7 0 6 9 1 4 5 8 1 6 2 8 7 6 8 7 1 6 2 9 3 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 9 5 7 0 3 1 6 8 4 1 5 6 4 2 7 8 1 3 4 3 4 7 2 0 5 0 8 9 2 3 2 3 5 5 7 8 4 9 9 7 1 1 9 0 7 8 3 4 8 6 3 8 0 9 6 2 8 0 1 0 6 2 3 8 9 0 7 2 3 4 5 5 2 8 5 4 6 6 6 7 9 1 8 4 1 5 3 4 7 9 4 0 0 0 1 1 3 4 8 6 7 8 9 0 1 1 3 4 5 6 7 8 9 0 1 2 3 6 5 6 9 0 1 3 1 5 1 8 4 9 8 6 6 8 0 1 1 9 1 6 6 8 7 4 2 9 7 0 2 1 0 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 6 5 9 7 0 2 3 4 3 8 5 1 5 2 3 0 1 2 1 3 2 6 5 3 0 7 2 7 4 6 4 0 5 9 9 8 9 5 3 1 7 4 7 6 5 4 0 0 0 6 2 0 6 3 7 7 4 4 3 9 2 8 9 6 0 9 5 3 8 8 7 1 4 0 4 8 5 2 3 9 0 1 9 1 5 1 7 4 8 6 2 1 6 8 8 0 1 2 3 4 7 8 9 0 1 2 3 4 6 7 8 9 0 1 2 3 4 7 8 9 1 4 5 3 5 0 9 5 4 5 0 6 4 6 7 0 7 7 1 6 9 1 3 6 2 3 5 2 3 8 9 5 8 8 7 1 7 1 1 0 3 4 2 4 4 7 4 2 2 4 0 9 2 7 9 2 1 0 6 5 3 4 8 5 9 6 9 0 6 3 0 6 1 6 0 0 1 2 3 4 5 6 7 0 1 2 3 4 7 8 9 0 1 2 5 4 7 2 5 1 6 4 3 9 9 0 9 7 1 6 4 3 6 2 0 9 8 6 5 7 0 0 1 7 4 3 2 4 1 3 7 6 4 7 7 7 9 8 9 3 6 2 6 3 5 8 0 5 4 7 1 3 1 7 9 6 2 0 9 1 7 3 3 9 1 6 4 3 9 8 2 1 8 6 4 1 5 5 6 5 0 1 2 3 4 8 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 6 9 7 0 2 3 4 3 8 5 1 3 0 1 2 1 3 2 0 7 2 6 4 0 5 9 9 8 9 5 8 1 7 4 7 0 0 6 6 6 3 3 9 2 6 9 8 7 1 4 0 4 8 5 2 3 9 0 1 9 1 5 1 7 6 1 2 1 6 8 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 2 3 5 6 7 8 1 0 4 5 6 6 3 4 4 2 8 1 0 6 4 9 7 2 9 2 0 9 3 3 9 1 5 2 3 1 6 7 3 7 8 4 0 2 4 0 2 4 7 8 0 7 0 6 9 3 2 4 8 6 0 5 7 5 1 0 8 1 6 7 2 9 7 9 5 6 5 2 6 2 8 1 7 5 5 7 3 5 0 1 1 3 8 4 9 4 5 1 8 6 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 3 5 3 2 9 3 2 1 4 5 5 2 3 2 1 3 9 7 2 1 2 8 9 1 8 8 7 8 1 0 0 6 7 7 8 7 5 0 6 1 5 7 4 6 1 2 5 0 7 9 9 0 3 4 4 8 4 1 8 6 5 9 0 0 0 3 7 1 6 4 6 0 4 5 4 1 3 8 6 3 9 9 5 9 3 7 8 5 6 4 7 6 2 2 0 9 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 6 4 2 6 4 7 5 5 4 7 2 9 3 9 3 8 2 0 9 5 6 0 1 0 6 5 3 5 3 8 0 0 3 4 1 5 3 0 8 3 0 6 2 7 8 1 7 1 3 8 5 4 2 0 9 7 6 7 4 1 6 2 6 7 1 9 8 0 6 9 4 9 9 6 2 3 7 1 9 2 2 5 3 7 8 0 1 2 3 4 7 8 9 0 1 2 3 4 7 8 9 0 1 7 8 9 8 9 2 6 1 3 5 4 8 2 6 4 3 4 5 9 2 0 3 9 4 9 7 3 8 7 4 4 9 8 5 8 2 6 6 2 3 1 3 2 7 3 1 9 0 1 1 3 5 0 7 8 1 5 1 4 6 0 0 4 9 1 6 6 9 0 7 6 1 1 0 1 2 3 4 2 8 3 4 6 6 2 5 1 2 2 8 6 3 9 2 1 9 3 9 6 1 2 2 4 4 5 2 0 0 1 6 6 8 2 7 2 3 4 2 1 6 1 0 6 9 8 3 9 6 3 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 6 8 9 9 0 1 2 4 4 3 7 4 4 4 0 3 8 7 5 8 2 1 7 5 3 8 5 2 5 1 1 6 2 1 3 8 6 4 2 6 2 5 5 0 2 8 0 6 8 1 7 9 1 9 2 6 7 6 6 8 7 4 9 2 1 3 3 0 5 5 8 0 3 7 9 7 0 2 7 9 1 7 8 0 3 5 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 7 8 9 6 4 2 6 9 7 8 9 2 9 3 9 3 0 0 1 0 4 2 6 3 5 3 0 3 4 1 5 3 0 8 3 0 6 1 7 8 0 9 2 6 7 1 9 6 9 4 9 9 6 7 1 2 5 3 7 8 0 1 2 4 5 6 7 8 9 0 1 3 4 5 6 7 5 0 1 3 4 7 8 9 7 5 5 1 9 9 7 1 0 0 5 9 7 1 7 2 2 3 6 8 3 2 0 0 6 1 7 5 9 6 2 9 4 8 8 7 1 0 8 7 7 5 8 5 3 4 6 1 1 5 5 0 7 2 3 6 4 1 2 4 1 5 4 2 0 4 8 6 1 9 0 2 5 6 9 3 6 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 5 6 7 8 1 0 9 5 7 5 1 8 6 9 0 4 1 9 3 8 4 4 7 0 1 9 2 8 7 8 2 5 9 6 0 6 5 5 3 3 3 9 8 1 1 0 6 1 0 0 6 2 1 1 3 4 7 7 8 5 7 8 4 6 0 2 0 7 0 3 6 8 7 1 5 9 9 3 7 2 4 9 4 3 6 2 2 5 3 2 5 0 9 4 1 7 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 0 1 2 7 5 3 4 4 0 0 6 9 6 6 5 7 2 3 4 9 9 1 4 0 7 9 5 7 2 3 1 4 4 0 9 9 6 1 8 3 3 7 3 9 8 8 4 7 7 6 2 1 9 8 7 8 8 7 2 2 3 9 3 3 5 5 0 7 4 5 6 5 1 4 1 1 2 8 2 6 1 5 0 1 2 3 4 5 6 7 8 9 0 1 1 3 4 5 6 7 8 9 0 1 2 8 4 5 6 7 8 8 0 6 0 3 2 3 7 9 4 7 1 9 1 7 1 4 0 0 1 7 5 7 1 3 3 3 1 6 9 7 1 3 0 2 6 0 8 9 4 3 5 4 8 1 5 9 0 6 3 3 8 1 4 7 5 2 0 0 1 7 8 7 6 8 8 1 3 5 1 6 9 5 2 0 1 2 3 4 5 6 7 8 9 0 1 5 3 4 0 6 7 8 9 0 1 0 3 4 6 6 7 8 9 7 4 6 1 4 0 9 9 3 7 1 2 7 5 8 6 3 2 0 0 5 8 6 0 3 8 1 0 3 0 4 7 4 9 0 9 0 7 1 7 1 6 6 0 6 0 8 7 6 4 9 9 5 3 7 4 3 0 9 6 6 1 1 3 2 1 0 0 1 2 3 4 7 8 4 0 1 8 3 4 5 6 7 8 0 1 2 3 4 7 8 9 0 8 3 9 5 1 3 6 8 4 1 7 1 7 3 5 6 9 1 1 1 2 1 2 0 7 7 5 8 2 9 8 3 7 3 4 6 8 7 0 4 8 7 7 5 4 3 4 2 8 1 5 1 8 2 3 3 1 7 0 6 8 0 3 9 9 8 8 7 7 1 0 1 7 8 9 0 1 2 7 4 5 6 7 8 0 1 2 3 4 7 8 9 7 8 6 4 1 9 2 8 4 4 7 0 1 9 2 8 7 8 2 6 0 6 5 3 5 9 9 1 4 0 6 1 0 0 6 2 1 1 7 7 8 4 6 0 7 0 3 6 8 7 1 3 2 4 9 4 2 6 4 1 7 3 6 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 -------------------------------------------------------------------------------- /classificationforSVM.txt: -------------------------------------------------------------------------------- 1 | 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 5 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 0 0 0 0 0 6 0 0 0 0 0 0 0 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 6 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 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 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 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 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 9 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 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 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 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 0 0 0 0 0 0 0 0 0 0 0 0 6 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 5 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 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 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 6 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 7 0 0 0 5 5 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 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 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 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 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 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 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 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 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 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 0 0 0 0 0 0 0 3 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 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 6 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 7 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 6 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 8 1 1 1 1 8 1 1 1 1 1 1 8 1 1 8 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 9 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 5 2 2 2 2 3 7 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 2 2 2 2 1 2 8 2 2 2 2 2 2 6 2 2 2 2 2 2 8 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 2 2 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 6 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 6 2 2 2 2 2 2 0 2 2 2 2 2 2 2 8 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 2 7 2 2 2 2 2 0 2 2 2 2 2 2 2 8 2 2 2 2 3 2 2 2 2 2 2 2 2 2 2 8 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 2 2 2 2 5 2 2 2 2 2 2 2 2 2 8 2 2 7 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 2 2 2 2 2 2 2 2 2 2 3 2 2 2 2 2 2 2 2 2 2 2 2 2 1 2 2 2 2 2 2 2 5 2 1 2 2 2 2 2 2 2 2 8 2 9 2 2 2 2 2 2 8 2 2 2 2 2 2 2 2 2 8 2 2 2 2 2 2 2 3 2 2 2 2 2 2 2 2 8 2 2 2 7 2 2 2 2 2 2 2 8 2 2 2 2 2 7 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 2 7 2 2 2 2 2 2 2 2 2 2 2 4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 2 2 2 2 2 2 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 6 2 2 2 2 2 2 2 2 2 2 2 6 2 2 2 2 2 2 2 2 2 2 2 2 2 2 8 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 8 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4 2 2 4 2 2 2 6 2 2 2 2 2 2 2 2 2 2 2 2 2 2 8 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 2 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 8 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 7 2 1 6 2 2 0 2 2 2 0 2 2 2 8 2 2 7 2 2 2 2 2 2 8 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 7 3 3 3 5 3 3 3 2 3 3 5 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 0 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 8 3 7 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 7 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 7 3 3 3 3 3 3 3 3 3 7 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 7 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 8 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 8 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 2 3 2 3 7 3 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 3 0 3 3 3 3 3 3 3 3 3 3 3 3 3 1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 8 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 8 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 3 5 2 3 3 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 9 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 8 8 3 3 5 3 3 3 8 8 3 3 3 3 3 3 3 3 3 3 8 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 7 3 3 3 2 3 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 0 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 3 2 3 3 3 3 2 3 3 3 3 3 2 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 8 3 3 3 8 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 1 3 3 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 0 3 3 3 3 3 7 3 3 3 3 9 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 6 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 9 4 4 4 4 4 4 4 4 4 9 4 4 4 4 4 9 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 9 4 4 4 4 4 4 4 4 4 4 4 4 4 4 8 4 4 4 4 4 4 4 4 4 6 4 4 4 4 4 4 4 4 4 4 4 4 4 4 9 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 9 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 6 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 8 4 9 4 4 4 4 4 4 4 9 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 9 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 7 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 4 9 4 4 4 4 9 4 2 4 4 4 4 4 4 4 4 4 2 4 4 4 4 4 4 9 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 1 4 4 4 4 4 4 4 9 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 9 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 8 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 6 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 9 4 4 4 4 4 4 4 4 4 9 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 7 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 0 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 5 5 0 5 5 5 5 5 5 5 5 5 5 8 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 8 5 5 5 5 5 5 9 5 5 5 5 5 5 5 5 5 4 5 5 5 3 5 8 5 5 5 5 3 5 5 5 5 5 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 7 5 5 5 5 5 5 6 3 5 5 5 5 5 3 5 5 5 5 5 5 5 0 5 5 5 5 5 5 5 5 5 5 5 5 5 5 2 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 0 8 5 0 5 5 5 3 5 5 5 5 5 5 3 5 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 8 5 5 5 5 5 5 5 3 5 4 5 5 5 5 5 5 5 5 5 3 3 5 3 5 5 8 5 5 5 8 5 5 3 5 3 5 5 5 5 5 5 8 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 0 5 5 3 5 5 5 5 5 5 5 5 0 5 5 5 5 5 5 3 5 5 5 5 5 5 5 5 5 5 5 5 9 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 0 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 5 5 5 5 8 5 5 5 8 5 5 5 5 0 5 5 5 5 2 5 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 2 5 3 5 5 5 5 1 1 5 5 5 5 5 5 5 5 5 5 5 5 3 5 5 5 5 5 5 5 5 5 3 8 5 5 5 5 6 5 5 5 5 5 3 5 5 5 5 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 8 5 5 5 5 1 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 5 3 3 3 5 5 5 3 5 5 8 5 5 3 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 5 5 5 5 3 5 5 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 5 5 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 5 5 5 5 6 5 4 6 5 5 5 5 5 5 5 5 5 5 5 5 8 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 3 5 5 5 5 5 3 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 6 5 6 5 0 0 5 5 5 5 5 5 5 5 1 5 5 3 3 5 5 6 6 6 6 6 2 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 0 6 6 6 6 6 6 6 6 6 6 6 6 0 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 0 6 6 6 5 2 6 2 6 6 6 6 6 6 6 6 6 6 6 8 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 7 6 6 5 6 6 6 6 6 6 6 6 6 6 5 6 6 6 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 2 2 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 4 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 1 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 6 6 2 6 6 6 6 6 6 6 6 6 6 0 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 2 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 0 6 6 6 6 6 6 6 4 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 1 6 6 6 6 6 6 6 6 6 6 0 6 6 6 2 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 6 6 6 6 6 6 6 6 5 6 6 6 6 6 6 6 6 6 6 6 6 6 4 6 6 6 6 6 6 6 6 6 5 2 6 6 2 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 4 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 2 6 6 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 0 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 2 6 4 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 0 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 5 6 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 3 6 6 6 6 2 6 0 6 6 6 6 6 6 6 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 4 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 3 7 7 7 7 7 7 7 7 7 2 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 2 7 7 7 9 7 9 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 2 7 2 7 7 1 7 2 7 2 7 7 7 7 7 7 7 7 7 7 7 7 0 7 7 7 1 7 7 7 9 7 7 7 7 7 7 7 2 7 3 7 7 7 7 7 7 7 7 7 7 7 7 7 7 3 7 7 7 7 7 7 7 7 7 7 7 7 7 9 7 7 7 7 7 7 2 7 7 7 7 2 9 7 7 7 7 5 9 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 2 7 7 7 7 8 7 7 7 7 7 7 7 7 7 7 4 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 3 2 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 9 7 4 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 9 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 9 9 7 3 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 9 7 7 7 7 8 7 3 9 1 7 7 7 7 7 7 7 7 7 7 4 1 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 9 7 7 7 7 7 9 7 3 7 7 7 4 7 3 7 7 7 7 7 7 7 7 7 7 7 7 7 3 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 2 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 1 7 7 7 7 7 1 7 7 7 7 7 7 8 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 2 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 9 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 4 7 7 2 7 7 7 7 7 7 7 9 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 4 7 7 7 7 4 7 7 7 7 1 1 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 2 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 2 2 2 2 7 2 7 2 7 7 7 7 7 7 9 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 9 7 7 3 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 9 7 7 7 7 7 7 7 7 7 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 4 8 8 5 8 8 8 5 8 8 8 8 8 8 8 3 8 8 8 8 3 8 8 8 8 3 8 8 8 8 1 3 8 8 8 8 8 8 8 8 8 8 4 8 8 5 8 8 8 8 8 5 8 8 3 7 8 8 8 2 8 8 8 8 8 8 9 8 8 8 8 8 8 8 8 8 8 8 8 3 8 8 7 8 8 8 8 3 5 8 8 8 8 5 8 8 8 8 8 8 8 8 3 8 8 8 8 2 8 8 8 8 8 8 1 8 8 8 8 8 8 8 8 8 7 8 8 8 8 8 8 8 8 8 3 8 8 8 8 8 8 5 8 8 8 0 8 8 8 8 8 5 8 8 8 8 9 9 8 8 8 8 8 8 8 8 4 8 8 8 8 8 5 3 8 8 4 8 8 8 8 8 0 8 8 8 8 8 8 8 8 2 8 8 8 8 8 8 8 8 8 8 8 8 0 8 8 0 8 8 8 9 8 8 3 3 8 9 3 8 8 8 8 8 8 8 8 8 8 8 8 2 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 5 8 8 8 8 8 8 8 0 8 8 8 8 8 8 8 8 8 8 6 8 5 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 3 8 8 8 3 8 8 7 8 8 8 3 8 8 8 8 8 8 8 8 8 5 8 8 8 8 8 8 8 8 8 5 8 5 8 8 8 8 8 3 8 8 8 8 3 8 8 8 8 8 8 8 3 8 8 8 8 8 8 8 8 8 8 8 3 8 8 8 8 8 8 8 8 5 8 8 8 5 8 8 8 8 8 0 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 5 8 8 8 8 8 7 8 8 8 8 8 8 8 8 8 8 8 3 8 8 8 4 8 8 8 8 9 8 8 8 8 8 8 7 8 8 8 8 8 8 8 8 8 8 8 0 8 8 8 8 8 8 8 8 8 2 8 8 3 8 8 8 4 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 5 8 8 8 8 8 5 8 5 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 2 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 6 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 9 8 8 8 7 8 8 4 8 8 8 8 8 5 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 3 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 5 8 8 8 8 8 9 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 5 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 1 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 5 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 6 8 8 8 6 8 8 8 8 0 8 8 8 8 6 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 5 8 8 3 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 5 1 8 8 8 3 8 8 8 8 8 8 8 8 8 8 6 8 8 8 8 8 8 8 8 8 8 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 8 9 9 9 9 9 9 9 8 9 9 9 9 9 9 9 9 7 9 9 9 9 9 9 9 9 9 9 9 9 9 3 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 4 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 4 7 9 9 9 9 9 9 9 7 7 9 9 9 9 9 9 9 9 9 9 9 9 9 3 9 9 9 9 4 9 9 4 0 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 4 9 9 9 9 9 9 9 9 9 9 9 7 3 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 3 9 5 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 4 9 9 5 9 9 9 9 9 9 9 9 9 9 9 9 2 9 9 9 1 9 9 9 9 9 9 9 9 9 9 9 9 2 9 9 9 9 9 9 9 9 9 1 1 4 9 9 9 9 8 9 9 9 9 9 9 9 9 9 9 9 4 8 5 9 9 9 9 9 0 9 9 9 9 9 4 9 9 9 9 4 9 9 9 9 9 9 9 9 4 9 9 9 9 9 9 9 9 9 9 5 9 9 9 9 9 9 9 9 1 9 9 9 9 9 1 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 1 9 9 9 9 9 9 9 9 3 9 9 9 4 9 9 9 9 9 9 9 9 9 9 4 9 9 9 9 9 9 9 9 9 9 4 9 9 9 9 9 9 9 9 9 9 3 9 9 9 4 9 9 9 4 9 9 4 9 9 9 9 9 9 3 9 4 9 9 9 9 9 9 9 4 9 0 9 9 9 9 9 9 9 7 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 0 9 7 9 9 9 9 9 7 9 9 4 9 4 9 9 9 9 9 4 9 9 9 7 9 9 9 1 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 4 9 7 9 9 9 9 4 9 9 9 9 9 9 9 9 9 4 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 7 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 7 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 7 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 3 9 0 9 9 9 9 3 9 9 0 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 0 9 9 9 9 9 3 9 4 7 9 4 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 4 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 8 9 9 9 9 9 9 9 9 4 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 4 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 3 9 9 9 7 9 9 9 4 9 9 9 7 9 9 9 7 9 7 9 9 9 9 9 9 9 9 4 9 9 9 4 9 9 9 9 9 9 9 9 9 -------------------------------------------------------------------------------- /classificationforlinearSVM.txt: -------------------------------------------------------------------------------- 1 | 7 2 1 0 4 1 4 9 6 9 0 6 9 0 1 5 9 7 3 4 9 6 6 5 4 0 7 4 0 1 3 1 3 4 7 2 7 1 2 1 1 7 4 2 3 5 1 2 4 4 6 3 5 5 6 0 4 1 9 5 7 8 9 3 7 4 2 4 3 0 7 0 2 9 1 7 3 2 9 7 7 6 2 7 8 4 7 3 6 1 3 6 9 3 1 4 1 7 6 9 6 0 5 4 9 9 2 1 9 4 8 7 3 9 7 4 4 4 9 2 5 4 7 6 4 9 0 5 8 5 6 6 5 7 8 1 0 1 6 4 6 7 3 1 7 1 8 2 0 9 9 8 5 5 1 5 6 0 3 4 4 6 5 4 6 5 4 5 1 4 4 7 2 3 2 7 1 8 1 8 1 8 5 0 8 9 2 5 0 1 1 1 0 9 0 3 1 6 4 2 3 6 1 1 1 3 9 5 2 9 4 5 9 3 9 0 3 5 5 5 7 2 2 7 1 2 8 4 1 7 3 3 8 8 7 9 2 2 4 1 5 8 8 7 2 5 0 6 4 2 4 1 9 5 7 7 2 8 2 0 8 5 7 7 9 1 8 1 8 0 3 0 1 9 9 4 1 8 2 1 2 9 7 5 9 2 6 4 1 5 4 5 9 2 0 4 0 0 2 8 4 7 1 2 4 0 2 7 4 3 3 0 0 3 1 9 6 5 3 5 7 7 9 3 5 4 2 0 7 1 1 2 1 5 3 3 9 7 8 6 3 6 1 3 5 1 0 5 1 3 1 5 0 6 1 8 5 1 7 9 4 6 2 2 5 0 6 5 6 3 7 2 0 8 8 5 4 1 1 4 0 3 3 7 6 1 6 2 1 9 2 5 6 1 9 5 2 5 4 4 2 8 3 8 2 4 5 0 3 1 7 7 5 7 9 7 1 9 2 1 4 2 9 2 0 2 9 1 4 8 1 8 4 5 9 8 8 3 7 6 0 0 3 0 2 0 6 4 9 3 3 3 2 3 9 1 1 6 8 0 5 6 6 6 7 3 8 2 7 8 8 9 6 1 8 4 1 2 5 3 1 9 7 5 4 0 8 9 9 1 0 5 2 3 7 3 9 4 0 6 3 9 5 2 1 3 1 5 6 5 7 4 2 2 6 3 2 6 5 4 8 9 7 1 3 0 3 8 2 1 9 3 4 4 6 4 1 1 8 2 5 4 8 3 4 0 0 8 3 2 7 7 0 8 7 4 4 7 9 6 9 0 9 8 0 9 6 0 6 5 5 4 8 3 3 9 3 3 2 7 8 0 1 2 1 7 0 6 5 4 3 3 0 9 6 3 8 0 9 9 6 8 6 8 5 7 8 6 0 2 4 0 2 2 3 1 9 7 5 1 0 8 4 6 2 6 7 4 3 6 9 8 2 2 9 2 7 3 5 9 1 8 0 2 0 5 2 1 3 7 6 7 1 2 5 8 0 3 7 8 4 0 9 1 8 6 7 7 4 3 4 9 1 9 5 1 7 3 9 7 6 9 1 3 3 8 3 3 6 7 2 4 5 8 5 1 1 4 4 3 1 0 7 7 0 7 9 9 4 8 5 5 4 0 5 2 1 6 8 4 8 0 4 0 6 1 7 3 2 6 7 2 6 9 3 1 4 6 2 5 9 2 0 6 2 1 7 3 4 1 0 5 4 3 1 1 7 4 9 9 4 8 4 0 2 4 5 1 1 6 4 7 1 9 4 2 4 1 5 5 3 8 3 1 4 5 6 8 9 4 1 9 3 8 0 3 2 5 1 2 5 3 4 4 0 8 8 3 3 1 2 3 5 9 6 3 2 6 1 3 6 0 7 2 1 7 1 4 2 4 2 1 7 9 6 1 1 2 4 3 1 7 7 4 7 0 7 3 1 3 1 0 7 7 0 3 5 5 2 7 6 6 9 2 8 3 5 2 2 5 6 0 8 2 4 2 8 2 8 8 7 9 7 3 0 6 6 3 2 1 3 2 2 9 3 0 2 5 7 8 1 4 4 6 0 2 9 1 4 7 4 7 3 9 8 8 4 7 1 2 1 2 2 3 2 3 2 3 9 1 7 4 0 3 5 5 8 6 5 0 6 7 6 6 3 2 7 9 1 1 2 4 6 4 9 5 1 3 0 4 7 8 9 1 1 0 9 1 4 4 5 4 0 6 2 3 3 1 5 1 2 0 3 8 1 2 6 7 1 6 2 3 7 0 1 2 2 0 8 7 9 0 2 3 1 9 7 8 1 0 4 1 9 9 5 4 2 2 8 1 3 7 5 4 8 1 8 1 3 8 1 2 8 8 0 6 2 1 1 9 1 5 3 4 2 9 5 0 9 2 2 4 8 2 1 7 2 4 9 4 4 0 3 9 2 2 3 3 8 3 5 7 3 5 8 1 2 4 4 6 4 9 3 1 0 6 9 5 9 5 9 7 3 8 0 3 7 1 3 6 7 3 5 9 7 9 6 3 6 3 7 4 6 5 8 5 4 7 8 7 8 0 7 6 7 8 7 3 7 1 9 4 2 7 3 5 1 1 2 1 4 7 4 7 5 4 5 4 0 8 3 6 9 6 0 2 7 4 4 4 4 6 6 4 7 9 3 4 5 5 8 7 3 7 2 7 0 2 4 1 1 6 8 9 2 8 7 2 0 1 5 0 4 1 7 0 6 0 3 6 5 1 8 0 3 3 2 2 3 6 2 1 6 1 1 3 7 9 0 8 0 5 4 0 2 8 2 2 9 8 4 0 4 5 5 5 1 2 1 3 1 7 9 5 7 2 0 0 8 8 6 2 5 2 1 9 2 1 5 8 1 0 2 4 4 3 6 8 8 2 4 0 5 0 4 4 7 9 3 4 1 5 9 2 3 5 8 8 0 5 3 3 6 6 0 1 6 0 3 7 4 4 1 2 9 1 4 6 9 9 7 9 8 4 4 3 1 3 1 3 8 7 9 4 8 8 2 9 7 1 4 5 6 0 5 2 2 6 1 5 5 2 4 9 6 2 7 7 2 2 1 1 2 8 3 7 2 4 1 7 1 7 6 7 2 2 7 3 1 7 5 8 2 6 2 2 5 6 6 0 9 2 4 3 3 9 7 6 6 8 0 4 1 3 8 2 9 1 8 0 6 7 2 1 0 5 5 2 0 2 2 0 2 9 9 8 0 9 9 4 6 5 4 9 1 8 3 4 9 9 1 2 2 1 1 4 6 4 6 9 4 8 3 8 7 0 2 5 1 9 6 2 9 4 0 9 6 0 5 2 5 4 2 3 8 4 3 5 0 3 8 5 3 5 8 6 5 7 6 3 3 9 6 1 1 2 9 0 4 3 3 6 9 5 0 3 7 7 7 8 1 9 8 3 0 7 2 7 9 4 5 4 9 3 2 1 4 0 2 3 7 5 9 8 8 0 0 1 1 4 7 3 9 0 0 0 6 6 2 3 7 8 4 7 7 7 2 4 1 6 5 2 4 3 9 1 8 4 0 9 8 4 8 7 7 0 7 8 8 6 6 4 8 8 2 4 7 6 6 6 4 2 1 8 3 2 3 5 3 0 0 3 7 6 9 3 9 9 5 4 3 7 6 1 2 3 7 3 3 6 0 3 3 8 4 3 6 3 5 0 2 6 9 0 7 4 5 9 3 5 1 9 6 1 4 5 4 5 0 5 9 5 2 1 2 9 1 9 9 4 0 8 4 5 2 9 2 1 2 1 7 3 6 8 8 4 9 1 9 8 5 7 5 1 1 8 6 5 0 4 4 7 2 3 5 6 5 8 6 2 3 1 0 5 8 9 2 9 6 7 0 4 8 7 1 7 4 1 0 3 7 2 0 0 9 1 7 0 7 8 4 7 2 0 4 6 0 3 1 1 3 3 5 6 7 4 1 2 3 0 8 7 3 9 6 9 3 5 0 2 7 2 5 1 3 5 8 0 8 8 1 5 0 3 0 3 1 4 0 3 7 2 7 1 5 0 7 0 4 3 1 9 8 7 7 1 4 9 9 3 8 1 7 9 0 2 0 3 3 7 6 9 2 3 3 7 7 0 0 7 5 2 9 8 7 4 4 2 6 6 1 9 6 8 2 9 0 8 7 1 1 6 3 5 1 1 1 3 1 2 3 0 2 0 1 3 5 5 7 4 9 9 6 9 6 9 3 6 6 8 5 1 4 2 4 4 5 1 1 9 0 2 4 9 5 7 1 8 8 5 6 9 8 9 1 1 6 7 6 3 2 2 0 8 9 2 5 1 0 8 1 4 5 7 9 6 9 0 6 1 5 0 8 3 8 2 6 8 0 7 4 6 1 3 4 7 3 2 3 4 2 5 2 7 1 7 2 6 4 1 0 2 4 6 0 1 8 2 5 7 7 6 5 3 5 8 4 2 4 0 8 8 3 4 9 2 7 5 8 6 3 6 0 5 6 7 3 6 4 9 4 6 5 3 0 4 1 0 1 4 6 2 9 2 1 0 6 3 9 5 6 5 6 5 3 4 6 4 3 9 1 3 4 1 9 1 2 1 1 9 3 5 4 0 9 3 6 1 7 5 5 3 3 0 1 3 7 5 8 6 4 1 0 8 7 3 4 6 7 9 8 1 4 9 9 2 8 6 2 7 0 0 6 5 5 8 6 0 9 3 9 1 3 5 4 3 3 5 5 6 3 0 2 3 4 2 3 0 9 9 4 7 2 8 4 7 0 6 0 8 5 2 8 5 7 8 0 0 2 4 2 8 2 5 5 7 6 4 5 8 4 8 2 7 4 5 2 0 3 2 9 2 7 2 5 2 1 1 8 3 6 7 8 7 6 2 8 9 4 8 6 3 8 3 1 0 6 2 2 5 6 9 5 8 1 4 1 7 2 4 6 1 8 4 3 1 2 8 0 8 5 9 2 4 2 5 3 7 0 1 0 2 5 7 6 7 9 4 2 6 2 4 4 8 0 4 4 5 8 0 6 8 9 8 5 6 9 0 4 8 7 1 3 4 8 8 0 9 1 3 3 6 9 8 7 1 0 5 7 1 7 5 2 7 9 1 8 5 2 4 9 4 7 2 2 3 4 9 1 9 2 1 7 9 4 4 6 6 7 2 7 8 0 1 9 7 1 1 7 5 3 3 5 1 3 7 6 1 3 8 7 5 9 2 0 0 2 8 0 8 3 7 1 3 0 8 4 4 3 8 9 2 3 9 7 1 1 7 0 4 9 6 5 9 1 7 0 2 0 2 4 6 7 0 7 1 4 6 4 3 4 9 9 1 7 9 5 3 3 8 2 3 6 2 2 1 1 1 1 1 6 9 8 4 3 7 1 6 4 4 0 4 7 4 2 4 0 7 0 1 9 9 8 6 0 0 4 1 6 8 2 2 3 3 4 3 2 2 1 7 5 4 4 0 4 3 1 7 3 1 0 1 2 5 4 2 1 0 1 8 9 1 4 9 3 3 9 3 6 2 8 3 2 1 1 0 4 2 9 2 4 3 7 9 1 5 2 4 8 0 3 8 5 3 6 2 9 4 6 2 5 0 2 7 4 6 6 8 6 6 8 6 9 1 7 2 5 9 9 0 7 2 7 6 7 0 6 5 5 4 7 2 0 9 9 2 2 9 4 4 2 3 3 2 1 7 0 7 6 5 1 3 8 7 9 5 9 2 5 1 8 7 3 7 1 3 3 0 9 1 4 0 6 3 5 6 0 4 9 7 5 1 6 8 9 3 5 7 4 3 8 3 8 1 5 3 8 0 5 5 3 8 6 7 7 7 3 7 0 5 8 0 2 8 5 3 1 7 2 8 6 5 5 3 8 9 3 3 7 9 1 7 0 0 3 7 2 5 2 1 8 6 2 9 3 7 5 8 8 6 8 5 1 4 8 4 5 8 3 0 6 2 7 3 3 2 1 0 7 3 4 0 3 9 3 7 8 9 0 3 8 0 7 6 5 4 7 3 0 0 8 6 2 5 1 1 0 0 4 4 0 1 2 3 2 7 7 8 5 2 8 7 6 9 1 4 1 6 4 2 4 3 5 4 1 9 5 0 1 5 3 8 9 1 9 7 9 5 5 2 7 4 6 0 1 1 1 0 4 4 7 6 3 0 0 4 3 0 6 1 4 6 1 3 8 1 2 5 6 2 4 3 6 0 1 9 7 6 6 8 9 2 9 5 8 3 1 0 0 7 6 6 2 1 6 9 3 1 8 6 4 0 6 0 0 0 6 3 5 9 3 4 5 5 8 5 3 0 4 0 2 9 6 8 2 3 1 2 1 1 5 6 9 8 0 6 6 5 5 3 8 6 2 1 4 5 4 3 7 8 0 0 9 3 5 1 1 0 4 4 7 0 1 7 0 1 6 1 4 5 6 6 3 7 5 4 4 7 2 5 3 7 0 7 7 9 6 4 2 8 5 7 8 3 9 5 8 9 9 8 6 2 8 4 2 3 6 1 1 8 9 3 4 0 7 9 6 7 1 4 1 3 4 9 3 1 4 7 7 4 7 2 9 3 0 8 0 8 4 0 4 4 1 5 2 8 5 4 9 5 2 8 1 5 3 3 9 4 2 5 6 2 5 9 3 0 9 2 1 9 5 3 0 6 9 8 4 0 4 5 2 9 0 1 0 7 1 6 5 8 1 5 3 5 0 3 5 5 9 2 8 2 0 4 9 1 9 7 7 5 3 2 0 9 1 8 6 2 3 9 6 2 1 9 1 3 5 5 0 3 8 3 3 7 6 5 0 1 4 0 6 9 8 1 2 1 9 5 9 7 3 7 8 0 1 3 0 4 6 1 0 2 5 6 4 4 1 1 5 4 2 6 0 6 9 2 6 2 7 1 7 9 4 0 0 3 8 2 2 3 1 6 0 5 7 7 9 2 6 7 1 7 5 6 8 8 4 6 8 4 1 2 8 2 3 9 4 0 3 7 3 2 3 3 7 3 4 0 6 2 0 8 1 5 3 5 4 1 7 1 5 7 5 7 3 2 2 7 3 7 5 7 8 5 4 5 2 9 6 5 3 6 7 4 1 7 1 5 2 3 0 3 1 4 2 6 7 4 0 8 0 6 2 1 6 5 3 9 1 9 3 2 1 8 4 4 6 5 8 6 9 7 7 8 6 9 9 3 9 4 0 5 4 6 4 1 2 3 0 0 2 6 6 5 7 0 8 6 4 4 9 0 7 3 4 2 1 8 8 5 9 2 7 1 8 8 3 2 7 6 0 1 2 7 1 0 8 3 6 0 5 3 6 2 8 7 0 1 4 2 1 1 4 4 4 4 7 1 6 2 9 9 0 0 1 8 3 4 3 4 2 0 6 1 6 1 2 2 2 1 2 3 7 8 1 0 0 2 1 2 6 0 1 6 2 5 1 7 4 8 2 1 4 3 7 3 9 9 4 8 3 4 7 2 7 5 7 0 4 3 1 2 6 7 6 0 0 6 7 7 0 5 5 8 1 0 7 0 2 8 1 5 0 3 8 0 3 2 7 7 3 6 4 9 5 5 5 2 9 2 8 4 6 8 6 5 0 0 8 7 6 1 7 1 1 2 7 4 0 0 7 7 6 3 8 6 4 2 0 9 4 0 5 7 8 2 7 4 7 1 1 3 6 6 2 9 1 9 4 8 3 6 9 5 9 6 2 4 6 7 7 0 6 6 9 4 8 3 5 3 4 9 2 0 5 2 5 0 7 1 1 1 0 7 6 7 9 6 6 4 1 4 3 1 1 2 2 4 1 0 8 7 6 3 4 0 0 6 3 3 0 7 1 7 1 1 3 1 0 9 9 7 5 4 1 4 5 9 5 3 5 1 9 8 3 3 3 9 9 0 1 0 2 9 3 9 3 3 6 2 3 9 8 3 7 4 0 4 7 8 4 9 8 1 9 7 5 9 2 8 2 2 0 2 2 3 8 4 6 8 4 8 2 4 6 7 9 3 3 9 4 3 1 4 4 7 0 5 9 6 0 4 4 4 4 6 1 2 3 8 6 4 5 9 6 8 5 6 0 5 6 4 1 8 6 6 2 5 4 5 5 4 7 9 9 9 8 2 2 3 7 0 1 8 0 3 1 9 8 7 5 5 9 1 7 5 4 3 1 2 1 1 6 6 7 1 1 4 0 7 4 2 4 0 6 4 7 6 9 5 3 4 6 5 0 1 8 8 2 3 3 5 7 8 0 8 5 7 1 1 0 1 3 7 8 5 0 7 1 1 0 1 1 4 5 2 7 6 2 3 0 2 8 5 9 6 9 7 2 1 3 6 4 1 3 2 4 0 5 1 0 5 2 6 4 2 3 4 1 1 6 5 7 9 1 0 2 6 0 1 4 3 3 2 8 8 0 8 8 9 0 9 6 7 6 3 9 3 9 7 7 7 4 9 0 6 4 8 4 2 9 2 8 1 0 0 7 8 3 3 3 1 3 7 6 1 3 1 6 6 5 7 4 7 5 9 5 3 9 9 9 1 6 5 0 1 3 8 0 3 4 8 2 2 0 2 8 1 5 1 2 8 8 9 1 2 1 3 5 1 0 9 4 4 8 3 8 5 4 7 6 0 2 0 0 0 8 8 3 1 5 9 3 8 5 1 8 2 6 4 9 9 6 2 3 3 5 6 4 8 0 9 2 8 3 6 9 5 1 2 9 4 9 1 2 8 2 0 7 0 9 1 1 5 7 0 9 9 1 9 5 9 2 5 0 4 1 0 8 4 0 3 9 8 9 4 8 5 7 9 8 9 8 0 9 9 6 8 9 9 5 9 8 2 1 0 3 3 5 2 1 6 3 0 2 8 3 5 6 2 3 0 2 2 6 4 3 5 5 1 7 2 1 6 9 1 3 9 5 5 1 6 2 2 8 6 7 1 4 6 0 2 0 5 3 2 8 3 6 8 9 5 5 3 8 5 4 5 2 0 5 6 3 2 8 3 9 4 5 7 9 4 6 7 1 3 7 3 6 6 0 9 0 1 9 4 2 8 5 0 1 6 9 7 5 3 4 7 4 9 4 4 3 6 3 1 1 4 6 9 1 8 4 1 1 9 9 9 3 6 8 1 6 0 4 1 3 1 7 4 9 5 1 0 0 1 1 6 2 1 9 8 4 0 3 6 4 9 0 7 1 6 5 7 5 2 5 1 8 2 4 7 0 5 7 4 2 5 8 1 0 4 3 7 1 0 5 1 3 0 0 6 0 7 3 1 8 3 9 7 0 0 8 4 5 9 8 3 2 7 3 9 7 2 1 1 3 7 5 3 1 9 8 2 2 2 8 8 5 7 3 8 9 8 8 6 8 2 3 9 7 1 6 2 9 2 8 8 1 6 8 8 7 9 1 8 0 1 7 2 0 7 1 1 4 0 8 0 9 8 6 2 3 0 3 8 0 2 1 1 1 1 4 2 9 7 7 5 1 1 2 1 9 9 9 1 0 2 0 2 1 1 4 6 4 1 5 4 9 9 7 7 5 6 2 2 2 8 0 6 9 5 1 9 7 7 1 4 8 5 3 4 3 4 7 7 5 0 7 4 8 8 1 5 3 9 5 9 9 6 9 0 3 6 3 9 8 2 8 1 2 8 6 8 5 5 3 9 4 9 2 5 1 5 1 1 4 1 4 4 3 5 9 1 2 2 3 3 0 2 9 0 0 9 9 6 0 9 3 7 8 4 1 9 9 7 2 3 9 9 3 0 5 1 1 8 3 5 1 9 5 3 5 4 7 5 9 3 1 9 0 9 7 5 4 9 2 0 1 0 5 1 4 9 3 3 6 1 5 2 5 2 2 0 7 2 6 6 0 1 2 0 3 0 2 3 8 7 9 5 5 0 8 9 5 0 3 2 5 4 0 8 8 9 6 8 8 4 5 4 5 5 4 9 2 2 1 2 6 8 8 7 0 3 6 6 4 3 8 8 4 2 2 0 0 4 3 9 9 1 9 8 6 6 4 2 6 9 2 7 5 4 5 7 9 4 9 2 1 8 3 4 0 3 8 3 9 3 4 4 5 6 2 2 9 2 6 0 0 6 1 2 8 7 7 8 2 0 4 7 7 3 0 5 6 4 6 7 4 3 0 7 5 0 7 4 2 0 8 9 9 4 0 4 6 7 8 7 6 9 4 1 3 7 3 0 8 8 7 6 1 3 9 2 7 9 2 1 8 3 2 9 6 8 4 0 1 2 8 4 5 2 7 3 1 1 3 0 3 5 7 0 3 1 9 3 5 3 1 7 3 3 0 8 4 8 2 2 6 2 9 7 3 9 0 9 9 6 4 2 9 7 2 1 1 6 7 4 7 5 9 2 8 2 1 2 4 5 7 6 1 3 2 5 9 9 3 6 1 1 4 6 9 7 2 1 5 1 4 6 3 4 1 1 0 3 1 6 8 4 9 0 7 3 0 4 9 0 6 6 6 3 6 7 7 2 8 6 0 8 3 0 2 9 8 3 2 5 3 9 8 0 0 1 9 5 1 3 9 6 0 1 4 1 7 1 2 2 7 9 7 4 9 9 3 9 2 8 2 7 1 8 0 9 1 0 1 7 7 9 6 9 9 9 2 1 6 1 3 5 2 1 9 7 6 4 5 7 6 6 9 9 6 3 6 2 9 8 1 2 2 5 5 2 3 7 2 1 0 1 0 4 5 2 8 2 8 3 5 1 7 7 1 1 2 4 7 8 4 0 3 0 7 8 8 4 7 7 8 5 8 4 9 8 1 3 8 0 3 1 7 7 5 5 1 6 5 7 4 9 3 5 4 7 1 2 0 8 1 6 0 7 3 4 7 8 9 6 0 8 6 4 8 7 7 9 3 8 5 9 7 2 3 4 0 2 1 0 3 5 5 7 2 4 6 7 2 8 3 0 8 7 8 4 0 8 4 4 5 8 5 6 6 2 0 9 3 1 6 8 9 3 4 9 5 8 9 1 2 8 8 6 2 1 3 7 9 0 1 1 4 7 0 8 1 7 4 5 7 1 2 1 1 3 9 6 2 1 2 8 6 7 6 6 9 3 1 0 5 2 3 0 5 4 3 8 4 6 6 2 7 9 5 1 3 2 4 3 6 1 9 4 4 7 6 5 4 1 4 9 2 7 8 0 1 3 6 1 3 4 1 1 1 5 6 0 7 0 7 2 3 2 5 2 2 9 4 9 8 1 3 1 6 1 2 7 4 0 0 0 8 2 2 9 2 2 8 9 9 2 7 5 1 3 4 9 4 1 8 5 6 3 8 3 1 2 8 4 9 9 3 7 0 7 7 2 3 2 4 0 3 9 9 8 4 1 0 6 0 9 6 8 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 4 3 9 6 0 4 0 6 0 1 2 3 4 7 8 9 0 1 2 3 4 7 8 9 0 1 2 5 4 5 6 7 8 9 8 3 4 7 8 6 3 4 0 9 7 1 9 3 8 4 7 5 0 9 1 4 5 4 6 2 0 6 2 1 1 1 1 7 2 4 7 5 2 9 4 5 8 4 2 9 7 0 0 7 5 1 1 7 6 6 6 8 2 2 7 7 4 0 2 4 2 1 8 9 6 1 0 5 9 6 9 8 0 2 0 8 3 9 6 3 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 9 5 1 2 3 4 5 6 7 8 5 4 5 7 4 7 7 3 9 8 8 3 1 5 8 2 7 4 2 1 5 4 5 5 8 6 4 4 4 1 8 7 5 5 1 5 7 1 3 6 3 3 2 2 6 9 9 6 5 5 3 2 8 1 6 5 6 5 1 9 7 6 8 3 7 4 7 0 9 0 0 3 2 9 3 0 2 0 1 0 1 0 4 0 1 0 4 7 9 6 2 6 2 2 9 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 0 5 6 6 0 8 0 2 3 7 9 4 7 1 9 1 7 1 4 0 0 4 1 7 5 7 1 3 3 3 6 6 9 7 4 3 0 2 5 2 6 0 8 9 4 3 5 4 8 1 5 9 0 6 4 3 6 3 3 8 1 4 7 5 7 2 2 0 0 1 7 7 9 5 9 8 9 6 8 8 2 3 6 1 2 9 8 9 5 2 6 2 4 8 4 6 5 0 1 5 6 7 8 9 0 1 2 3 2 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 4 2 0 9 0 1 5 8 8 0 2 7 8 4 4 6 1 0 4 5 3 9 4 2 0 5 0 1 3 2 9 1 6 0 1 1 8 0 4 7 7 6 3 6 0 7 3 5 4 2 4 1 8 3 5 6 7 0 6 7 1 2 5 8 1 9 3 8 2 8 7 6 7 1 4 6 2 9 3 0 1 2 3 4 5 6 7 0 1 2 3 4 5 0 1 2 8 7 1 4 0 9 5 0 8 0 7 7 1 1 2 9 3 6 7 2 3 8 1 2 9 8 8 7 1 7 1 1 0 3 4 2 6 4 7 4 2 7 4 9 1 0 6 8 5 8 5 3 5 9 7 4 8 5 9 6 9 3 0 3 8 9 1 8 1 6 0 6 1 2 3 4 5 6 7 8 9 0 1 2 3 4 1 6 7 8 9 0 1 2 3 4 5 6 9 8 9 3 5 3 2 9 3 2 1 4 5 5 3 3 2 1 3 9 7 2 5 2 8 9 1 8 8 7 8 1 0 0 7 7 8 7 5 0 6 1 5 7 4 6 1 2 5 0 7 9 9 0 3 8 4 4 8 1 8 6 5 9 0 0 0 3 7 1 6 4 2 6 6 0 4 5 4 1 3 8 6 3 9 9 5 9 3 7 8 5 6 4 7 6 2 2 0 9 4 0 1 2 3 4 5 6 7 8 9 0 1 2 9 5 4 0 1 2 3 4 5 6 8 7 1 3 2 2 0 7 5 9 9 6 0 7 4 1 3 2 1 2 3 8 3 2 6 5 6 8 2 7 4 8 1 8 0 5 3 9 4 1 9 2 1 9 6 7 9 0 4 6 1 7 3 8 7 2 9 6 5 8 3 9 0 5 7 1 6 1 0 9 3 3 4 4 0 6 2 5 4 2 3 4 6 0 0 2 0 1 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 2 3 4 5 6 7 8 9 8 4 1 3 7 5 2 8 0 7 5 9 9 0 9 1 1 5 8 8 6 3 2 1 8 3 2 6 5 6 2 5 1 0 3 3 1 9 2 1 9 6 0 4 6 1 7 3 8 7 2 9 6 5 8 3 3 7 1 6 1 0 9 6 2 3 4 2 3 9 4 6 0 0 2 0 1 2 3 4 3 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 8 4 5 6 7 8 9 8 6 5 0 6 8 9 4 1 9 3 8 0 4 8 9 1 4 0 5 5 2 1 8 4 0 7 6 0 1 9 0 6 8 9 5 1 7 9 8 6 0 8 1 7 7 1 3 2 3 1 4 2 0 0 7 8 4 6 4 9 5 8 4 7 2 5 6 3 6 9 6 3 0 2 4 6 9 0 2 3 3 1 3 8 9 7 8 7 2 2 5 7 9 8 2 1 8 1 3 0 1 2 3 4 5 6 7 8 3 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 2 6 5 3 0 7 0 4 1 4 3 6 7 2 3 1 2 1 2 9 6 0 1 3 0 2 7 5 7 6 2 9 1 9 0 6 0 6 0 2 0 6 1 5 8 4 3 0 1 5 4 4 8 5 7 5 7 8 3 4 8 8 5 2 9 7 1 8 8 1 0 7 5 3 6 9 4 7 7 9 0 3 4 4 3 8 6 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 8 3 9 5 5 2 6 8 4 9 1 7 1 2 3 5 9 6 9 1 1 1 2 9 5 6 8 1 2 0 7 7 5 8 2 9 8 9 0 4 6 7 1 3 4 5 6 0 3 6 8 7 0 4 2 7 4 7 5 4 3 4 2 8 1 5 1 2 0 2 5 6 4 3 0 0 0 3 3 5 7 0 6 4 8 8 6 3 4 6 9 9 8 2 7 7 1 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 2 3 4 5 6 7 8 2 1 7 2 5 0 8 0 2 7 6 8 3 6 0 2 7 6 6 1 2 8 8 7 7 4 7 7 3 7 4 5 4 3 3 8 4 1 1 9 7 4 3 7 3 3 0 2 5 5 6 6 3 5 2 5 9 9 8 4 1 0 6 6 9 6 8 8 5 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 3 9 2 0 6 0 4 6 0 1 2 3 4 4 8 9 0 1 2 3 7 8 9 0 1 2 3 4 7 8 9 7 3 0 3 1 8 7 6 4 0 2 6 8 3 2 8 1 2 0 4 1 0 4 4 5 8 0 6 6 3 1 5 1 8 5 9 4 0 7 5 8 8 3 8 9 2 6 2 5 3 1 7 3 0 1 9 9 6 0 5 9 2 8 1 4 3 5 2 9 2 5 8 9 5 0 1 2 4 5 6 5 1 2 3 4 5 6 7 1 2 7 4 5 1 0 4 5 6 6 3 4 4 2 9 1 0 2 2 3 7 2 3 3 9 2 0 4 2 3 7 3 5 6 5 1 1 8 4 0 2 4 0 2 4 7 8 0 7 0 6 9 3 2 8 6 7 3 7 5 1 0 7 1 5 7 2 4 7 9 5 8 6 2 6 2 8 1 7 5 0 1 1 3 4 4 9 1 8 6 8 9 0 1 2 3 4 5 6 7 8 9 5 1 2 3 4 7 8 9 5 1 7 8 9 9 5 9 8 4 1 7 7 3 3 7 6 6 6 1 9 0 1 7 6 3 2 1 7 1 3 9 1 7 6 8 4 1 4 3 6 9 6 1 4 4 7 2 4 4 0 1 2 3 4 3 6 7 8 9 0 1 2 3 4 5 6 9 0 1 2 3 4 7 8 1 3 5 1 7 7 2 1 4 8 3 4 4 3 9 7 4 1 8 3 4 9 1 6 0 1 0 0 2 8 7 1 1 4 0 4 7 3 6 8 0 3 7 4 0 6 9 2 6 5 8 6 9 0 4 0 6 1 9 2 0 9 5 1 3 7 6 9 3 0 2 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 4 0 1 2 3 4 5 6 7 8 9 2 1 7 2 5 0 8 0 2 7 8 8 3 0 6 0 2 7 6 6 1 2 8 8 7 7 4 7 7 3 7 4 5 4 3 3 8 4 5 4 1 1 9 7 4 3 7 3 3 0 2 5 5 6 3 1 5 2 5 9 9 8 4 1 0 6 0 9 6 8 8 5 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 4 9 1 3 9 2 0 6 0 4 0 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 3 8 0 7 1 0 7 5 5 6 9 0 1 0 0 8 3 4 3 1 5 0 0 9 6 3 4 9 3 7 6 8 2 4 5 7 2 6 4 9 4 9 4 1 2 2 5 8 1 3 2 9 4 3 8 2 2 1 2 8 6 5 1 6 7 2 1 3 9 3 8 7 5 7 0 7 4 8 8 5 0 6 6 3 7 6 9 9 4 8 4 1 0 6 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 4 7 4 0 4 0 1 7 9 5 1 4 2 8 9 4 3 7 8 2 4 4 3 3 6 9 9 5 8 6 7 0 6 8 2 6 3 9 3 2 8 6 1 7 4 8 8 9 0 3 3 9 0 5 2 9 4 1 0 3 7 5 8 7 7 8 2 9 7 1 2 6 4 2 5 2 3 6 6 5 0 0 2 8 1 6 1 0 4 3 1 6 1 9 0 1 4 5 6 7 8 9 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 9 8 4 0 0 7 2 4 3 8 6 6 3 2 6 3 3 0 1 4 7 3 0 3 1 9 0 1 9 1 2 7 0 1 3 8 2 9 2 7 6 5 5 9 9 8 2 9 1 3 2 3 4 3 1 9 0 9 3 6 8 7 0 1 0 5 8 2 7 7 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 7 4 8 1 5 6 5 7 2 8 6 3 3 8 6 5 4 0 9 1 7 2 9 1 5 1 3 2 2 3 0 6 4 3 7 6 9 0 4 8 1 4 0 6 1 2 6 9 2 2 3 5 5 1 0 7 7 9 6 2 9 4 7 0 2 3 4 0 0 8 8 8 5 1 3 7 4 9 8 8 9 0 9 8 9 0 2 6 5 6 7 4 7 5 4 1 3 5 3 1 2 0 4 5 6 1 2 3 4 6 0 1 2 4 5 6 7 8 1 7 8 4 1 4 1 4 9 6 8 4 5 3 2 8 8 3 3 5 6 7 0 6 1 6 8 7 0 1 5 0 8 6 0 1 5 8 4 2 3 9 7 6 9 1 9 0 6 7 1 2 3 9 2 4 5 5 3 7 5 3 1 5 2 2 3 0 2 9 4 9 7 0 2 7 4 9 9 2 3 9 8 3 8 6 7 0 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 0 7 2 6 5 5 3 7 9 6 6 6 6 4 3 8 8 3 0 1 9 0 5 4 1 9 1 2 7 0 1 3 8 2 9 2 7 4 2 6 5 5 9 9 1 1 5 7 6 8 2 9 4 3 1 9 0 9 3 6 8 7 0 1 0 5 8 2 7 7 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 8 9 0 1 2 3 4 5 6 7 8 9 2 1 2 1 3 9 9 8 5 3 7 0 7 7 5 7 9 9 4 7 0 3 4 1 5 8 1 4 8 4 1 8 6 6 4 6 0 5 5 3 3 5 7 2 5 9 6 9 2 6 2 1 2 0 8 3 8 3 0 8 7 4 9 5 0 9 7 0 0 4 6 0 9 1 6 2 7 6 5 3 5 2 1 8 3 8 6 1 0 2 1 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 6 4 7 6 2 3 4 8 7 8 6 9 8 3 2 2 8 4 8 5 6 5 0 2 0 1 1 2 9 6 8 2 1 0 6 5 2 9 7 6 3 9 2 7 1 8 3 8 1 9 5 5 0 1 1 9 8 2 6 0 4 5 0 2 1 8 6 7 5 9 9 3 0 3 1 4 4 0 4 9 0 1 2 3 5 6 7 8 0 1 2 3 5 0 7 8 9 0 1 2 2 6 6 7 8 9 9 7 0 9 0 1 5 8 8 0 9 3 2 7 8 4 6 1 0 4 9 4 4 0 4 0 1 6 9 3 2 9 1 6 0 8 1 8 7 7 6 3 6 0 7 2 4 1 7 0 6 7 1 4 6 8 1 1 2 8 7 6 8 7 8 6 2 9 3 0 1 2 3 4 5 6 7 8 9 0 1 6 2 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 9 5 7 0 3 1 6 8 4 1 5 6 4 2 7 8 1 3 4 3 4 7 2 0 5 0 8 9 2 3 2 3 5 5 7 8 4 9 9 7 1 1 9 0 7 8 2 4 8 6 3 8 0 9 6 2 8 0 1 0 6 2 3 8 9 0 7 2 3 4 5 5 2 8 5 4 6 6 6 7 9 1 8 2 1 5 3 4 7 9 4 0 0 0 1 2 3 4 8 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 9 0 1 3 1 5 1 2 4 9 8 6 6 8 0 1 1 9 2 6 6 8 7 4 2 9 7 0 2 1 0 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 6 5 9 7 0 2 3 4 3 8 5 1 5 2 3 0 1 2 1 3 2 6 5 3 0 7 2 7 4 6 4 0 5 9 9 5 9 5 3 1 7 4 7 6 5 4 0 0 6 6 2 0 6 3 7 7 4 4 3 9 2 8 9 6 0 9 5 3 8 8 7 1 4 0 4 8 5 2 3 9 0 1 9 1 5 1 7 4 8 6 2 1 6 8 8 0 1 2 8 4 7 8 9 0 1 2 3 4 6 7 8 9 0 1 2 3 4 7 8 9 1 4 5 3 8 0 9 5 4 5 0 8 4 6 7 0 7 7 1 2 9 1 3 6 2 3 8 2 3 8 9 5 8 8 7 1 7 1 1 0 3 4 2 4 4 7 4 2 7 4 3 9 2 7 9 3 1 0 6 5 3 4 8 5 9 6 9 0 6 3 0 6 1 6 0 0 1 2 3 4 5 6 7 0 1 2 3 4 7 8 9 0 1 2 3 4 7 2 5 1 6 4 3 9 9 0 9 7 1 6 4 3 6 2 0 9 8 6 5 7 0 0 1 7 4 3 2 4 1 3 7 6 4 7 7 7 9 8 9 3 6 2 8 3 5 8 0 5 4 7 1 3 1 7 9 6 2 0 4 1 7 3 3 9 1 6 4 3 9 8 2 1 8 6 4 1 5 5 6 5 0 1 2 3 4 3 6 7 0 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 6 9 7 0 2 3 4 3 8 5 1 3 0 1 2 1 3 2 0 7 2 6 4 0 5 9 9 8 9 5 3 1 7 4 7 0 0 6 6 6 3 7 9 2 6 9 8 7 1 4 0 4 8 5 2 3 9 0 1 9 1 5 1 7 6 1 2 1 6 8 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 2 3 5 6 7 8 1 0 4 5 6 6 3 4 4 2 8 1 0 6 4 9 7 2 9 2 0 9 3 3 9 1 5 2 3 1 6 7 3 7 8 4 0 2 4 0 2 4 7 8 0 7 0 6 9 3 2 4 8 6 0 5 7 5 1 0 8 1 0 7 2 9 7 9 5 6 5 2 6 2 8 1 7 5 5 7 3 5 0 1 1 3 8 4 9 4 5 1 8 6 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 3 5 3 2 9 3 2 1 4 5 5 2 3 2 1 3 9 7 2 1 2 8 9 1 8 8 7 8 1 0 0 6 7 7 8 7 5 0 6 1 5 7 4 6 1 2 5 0 7 9 9 0 3 4 4 8 4 1 8 6 5 9 0 0 0 3 7 1 6 4 6 0 4 5 4 1 3 8 6 3 9 9 5 9 3 7 8 5 6 4 7 6 2 2 0 9 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 6 4 2 6 4 7 5 5 4 7 2 9 3 9 3 8 2 0 9 5 6 0 1 0 6 5 3 5 3 8 0 0 3 4 1 5 3 0 8 3 0 6 2 7 8 1 7 1 3 8 5 4 2 0 9 7 6 7 4 1 6 2 6 7 1 9 8 0 6 9 4 9 9 6 2 3 7 1 9 2 2 5 3 7 8 0 1 2 3 4 7 8 9 0 1 2 3 4 7 8 9 0 1 7 8 9 8 9 2 6 1 3 5 4 8 2 6 4 3 4 5 9 2 0 3 9 4 9 7 3 8 7 4 4 9 8 5 8 2 6 6 2 3 1 3 2 7 3 1 9 0 1 1 3 5 0 7 8 1 5 1 4 6 0 0 4 9 1 6 6 9 0 7 6 1 1 0 1 2 3 4 2 8 3 4 6 6 2 0 1 2 2 8 6 3 9 2 1 9 3 9 6 1 7 2 4 4 5 2 0 0 1 6 6 8 2 7 2 2 4 2 1 6 1 0 6 9 8 3 9 6 3 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 6 8 9 9 0 1 2 4 4 3 7 4 4 4 0 3 8 7 5 8 2 1 7 5 3 8 5 2 5 1 1 6 2 1 3 8 6 4 2 6 2 5 5 0 2 8 0 6 8 1 9 9 1 9 2 6 7 6 6 8 7 4 9 2 1 3 3 0 5 5 8 0 3 7 9 7 0 2 7 9 1 7 8 0 3 5 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 7 8 9 6 4 2 6 4 7 8 9 2 9 3 9 3 0 0 1 0 4 2 6 3 5 3 0 3 4 1 5 3 0 8 3 0 6 1 7 8 0 9 2 6 7 1 9 6 9 4 9 9 6 7 1 2 5 3 7 8 0 1 2 4 5 6 7 8 9 0 1 3 4 5 6 7 5 0 1 3 4 7 8 9 7 5 5 1 9 9 7 1 0 0 5 9 7 1 7 2 2 3 6 8 3 2 0 0 6 1 7 5 3 6 2 9 4 8 8 7 1 0 8 7 7 5 8 5 3 4 6 1 1 5 5 0 7 2 3 6 4 1 2 4 1 5 4 2 0 4 8 6 1 9 0 2 5 6 9 3 6 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 5 6 7 8 1 0 9 5 7 5 1 8 6 9 0 4 1 9 3 8 4 4 7 0 1 9 2 8 7 8 2 3 9 6 0 6 5 5 3 3 3 9 8 1 1 0 6 1 0 0 6 2 1 1 3 2 7 7 8 8 7 8 4 6 0 2 0 7 0 3 6 8 7 1 5 9 9 3 7 2 4 9 4 3 6 2 2 5 3 2 5 3 9 4 1 7 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 0 1 2 7 5 3 4 4 0 0 6 3 6 6 5 9 2 3 4 7 9 1 4 0 7 9 5 7 2 3 1 4 4 0 9 7 6 1 8 3 3 3 3 9 8 8 4 7 7 6 2 1 9 8 7 8 8 7 2 2 3 9 3 3 5 5 0 7 4 5 6 5 1 4 1 1 2 8 2 6 1 5 0 1 2 3 4 5 6 7 8 9 0 1 2 5 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 8 0 6 0 3 2 3 7 9 4 7 1 7 1 7 1 4 0 0 1 7 5 7 1 1 3 3 1 6 9 7 1 2 0 7 6 0 8 9 4 3 5 4 8 1 5 9 0 6 5 3 8 1 4 7 5 2 0 0 1 7 8 7 6 8 8 1 3 5 1 6 9 5 2 0 1 2 3 4 5 6 7 8 7 0 1 0 3 4 5 6 7 8 9 0 1 2 3 4 6 6 7 5 9 7 4 6 1 4 0 9 9 3 7 1 0 7 5 8 6 3 2 2 0 5 8 6 0 3 8 1 0 3 0 4 7 4 9 0 9 0 7 1 7 1 6 6 0 6 2 3 7 6 4 9 9 5 3 7 4 3 0 4 6 6 1 1 3 2 1 0 0 1 2 3 4 7 8 4 0 1 8 3 4 5 6 7 8 0 1 2 3 4 7 8 9 0 8 3 9 5 5 2 6 8 4 1 7 1 7 0 5 6 9 1 1 1 2 1 2 0 7 7 5 8 2 4 8 3 7 3 4 6 8 7 0 4 2 7 7 5 4 3 4 2 8 1 5 1 0 2 3 3 1 7 0 6 8 6 3 9 9 6 8 7 7 1 0 1 7 8 9 0 1 2 7 4 5 6 7 8 0 1 2 3 4 9 8 9 7 8 2 4 1 9 3 8 4 4 7 0 1 9 2 8 7 8 2 6 0 0 5 3 3 9 9 1 4 0 6 1 0 0 6 2 1 1 7 7 8 4 6 0 7 0 3 6 8 7 1 3 2 4 9 4 3 6 4 1 7 2 6 3 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 -------------------------------------------------------------------------------- /classificationfornonlinearSVM.txt: -------------------------------------------------------------------------------- 1 | 7 2 1 0 4 1 4 9 6 9 0 6 9 0 1 5 9 7 3 4 9 6 6 5 4 0 7 4 0 1 3 1 3 4 7 2 7 1 2 1 1 7 4 2 3 5 1 2 4 4 6 3 5 5 6 0 4 1 9 5 7 8 9 3 7 4 2 4 3 0 7 0 2 9 1 7 3 2 9 7 7 6 2 7 8 4 7 3 6 1 3 6 9 3 1 4 1 7 6 9 6 0 5 4 9 9 2 1 9 4 8 7 3 9 7 4 4 4 9 2 5 4 7 6 4 9 0 5 8 5 6 6 5 7 8 1 0 1 6 4 6 7 3 1 7 1 8 2 0 9 9 8 5 5 1 5 6 0 3 4 4 6 5 4 6 5 4 5 1 4 4 7 2 3 2 7 1 8 1 8 1 8 5 0 8 9 2 5 0 1 1 1 0 9 0 5 1 6 4 2 3 6 1 1 1 3 9 5 2 9 4 5 9 3 9 0 3 6 5 5 7 2 2 7 1 2 8 4 1 7 3 3 8 8 7 9 2 2 4 1 5 3 8 7 2 5 0 2 4 2 4 1 9 5 7 7 2 8 2 0 8 5 7 7 9 1 8 1 8 0 3 0 1 9 9 4 1 8 2 1 2 9 7 5 9 2 6 4 1 5 8 2 9 2 0 4 0 0 2 8 4 7 1 2 4 0 2 7 4 3 3 0 0 5 1 9 6 5 2 5 7 7 9 3 5 4 2 0 7 1 1 2 1 5 3 3 9 7 8 6 3 6 1 3 8 1 0 5 1 3 1 5 0 6 1 8 5 1 7 9 4 6 2 2 5 0 6 5 6 3 7 2 0 8 8 5 4 1 1 4 0 7 3 7 6 1 6 2 1 9 2 8 6 1 9 5 2 5 4 4 2 8 3 8 2 4 5 0 3 1 7 7 3 7 9 7 1 9 2 1 4 2 9 2 0 4 9 1 4 8 1 8 4 5 9 8 8 3 7 6 0 0 3 0 8 0 6 4 8 5 3 3 2 3 9 1 2 6 8 0 5 6 6 6 7 8 8 2 9 5 8 9 6 1 8 4 1 2 5 3 1 9 7 5 4 0 8 9 9 1 0 5 2 3 7 0 9 4 0 6 3 9 3 2 1 3 1 5 6 5 7 4 2 2 6 3 2 6 5 4 8 9 7 1 3 0 3 8 3 1 9 6 4 4 6 4 2 1 8 2 5 4 8 3 4 0 0 2 3 2 7 1 0 6 7 4 4 7 9 6 9 0 9 8 0 9 6 0 6 5 5 4 8 3 3 9 3 3 3 7 8 0 2 2 1 7 0 6 5 4 3 3 0 9 6 3 8 0 9 9 6 8 6 8 5 7 8 6 0 2 4 0 2 2 3 1 9 7 5 8 0 8 4 6 2 6 7 4 9 6 9 8 2 2 9 2 7 3 5 9 1 8 0 2 0 5 2 1 3 7 6 7 1 2 5 8 0 3 4 8 4 0 9 1 8 6 7 7 4 3 4 9 1 9 5 1 7 3 9 7 6 9 1 3 3 8 3 3 6 9 2 4 5 8 5 1 1 4 4 3 1 0 7 7 0 7 9 9 4 8 5 5 4 0 8 2 1 6 8 4 8 0 4 0 6 1 7 3 8 6 7 2 6 9 3 1 4 6 2 5 9 2 0 6 2 1 7 3 4 1 0 5 4 3 1 1 7 4 9 9 9 8 4 0 2 4 5 1 1 6 4 7 1 9 4 2 4 1 5 5 3 5 3 1 4 5 6 8 9 4 1 9 3 8 0 3 2 5 1 2 8 3 4 4 0 8 8 3 3 1 2 3 5 9 6 3 2 6 1 3 6 0 7 2 1 7 1 4 2 4 2 1 7 9 6 1 1 2 4 3 1 7 7 4 7 0 7 3 1 3 1 0 7 7 0 3 5 3 2 7 6 6 9 2 8 3 5 2 2 5 6 0 8 2 9 2 8 2 8 8 7 9 7 3 0 6 6 3 2 1 3 2 2 9 3 0 0 5 7 8 1 4 4 6 0 2 9 1 4 7 4 7 3 9 8 8 4 7 1 2 1 2 2 3 7 3 2 3 9 1 7 4 0 3 5 5 8 6 5 0 6 7 6 6 3 2 7 8 1 1 2 5 6 4 9 5 6 3 3 9 7 8 9 1 1 0 9 1 4 4 5 4 0 6 2 3 3 1 5 1 2 0 8 8 1 2 6 7 1 6 2 3 9 0 1 2 2 0 8 9 9 0 2 5 1 9 7 8 1 0 4 1 9 9 5 4 2 6 8 1 3 7 5 4 4 1 8 1 3 8 1 2 8 8 0 6 2 1 1 9 1 5 3 4 8 9 5 0 9 2 6 4 8 2 1 7 2 4 9 4 4 0 9 9 2 2 3 3 8 3 5 7 3 5 8 1 2 4 4 6 4 9 3 1 0 6 9 5 9 5 9 7 3 8 0 3 9 1 3 6 7 8 5 9 7 9 6 3 6 3 7 4 6 5 8 5 4 7 8 2 8 0 7 6 8 8 7 3 7 1 9 5 2 7 3 5 1 1 2 1 4 7 4 7 5 4 5 4 0 8 3 6 9 6 0 2 7 4 4 4 4 6 6 4 7 9 3 4 5 5 8 7 3 7 2 7 0 2 4 1 1 1 6 9 2 8 7 2 0 1 5 0 4 1 9 0 6 0 4 6 3 1 5 0 2 3 2 2 3 6 2 1 6 1 1 3 7 7 0 8 0 5 4 0 2 8 2 2 9 8 4 0 4 5 5 5 1 2 1 3 1 7 9 5 7 2 0 0 5 8 6 6 5 4 1 9 3 1 5 8 1 0 2 4 4 3 6 8 8 2 4 0 5 0 4 4 7 9 3 4 1 5 9 2 3 5 8 8 0 5 3 3 6 6 0 1 6 0 3 7 4 4 1 2 9 1 4 6 9 9 3 9 8 4 4 3 1 3 1 3 8 7 9 4 8 6 2 9 9 1 4 5 6 0 5 2 2 6 1 5 5 2 4 9 6 2 7 7 2 2 1 1 2 8 3 7 2 4 1 7 1 7 6 7 2 2 7 3 1 7 5 8 2 6 2 2 5 6 6 0 9 2 4 3 3 9 7 6 6 8 0 4 1 3 8 2 9 1 8 0 6 7 2 1 0 5 5 2 0 2 2 0 2 4 9 8 0 9 9 4 6 5 4 9 1 8 3 4 9 4 1 2 2 1 1 9 6 4 0 9 9 8 3 8 6 0 2 5 1 9 6 2 9 4 0 9 6 0 6 2 5 4 2 3 8 4 5 5 0 2 8 5 3 5 8 6 5 7 6 3 3 9 6 1 1 2 9 0 4 3 3 6 9 5 5 3 7 7 7 8 1 9 8 3 0 7 2 7 9 4 5 4 9 3 2 1 4 0 2 3 7 5 9 8 8 0 0 6 1 4 7 3 9 0 0 0 6 6 2 3 7 8 4 7 7 9 2 4 1 6 5 2 4 3 9 1 8 4 0 3 8 4 8 7 7 0 7 8 8 6 0 4 8 8 2 4 7 6 6 6 4 9 1 8 8 2 3 6 3 0 0 3 7 6 9 7 9 9 5 4 3 3 6 1 2 3 7 3 3 6 0 3 3 8 4 3 6 3 5 0 2 0 9 0 7 4 5 9 3 5 1 9 6 1 7 5 4 5 0 5 4 5 2 1 2 9 1 9 9 4 0 8 4 5 2 9 2 1 2 1 7 3 6 8 8 4 9 1 9 8 5 3 5 1 1 8 6 5 2 4 4 7 2 3 5 6 5 8 6 2 3 1 0 5 8 9 2 9 6 7 0 4 8 7 1 7 4 1 0 5 7 2 0 0 9 1 1 0 3 8 4 7 4 0 4 6 0 3 1 1 3 3 9 6 7 4 1 5 3 0 8 7 3 9 6 9 3 5 0 2 7 2 5 1 2 5 8 0 8 8 1 5 0 3 0 3 1 4 0 3 7 2 4 1 5 0 7 0 4 3 1 9 2 7 7 1 4 9 9 3 7 1 7 9 0 2 0 3 3 7 4 9 2 3 3 7 7 0 0 7 5 2 9 5 7 4 4 2 6 6 1 9 6 8 2 9 0 8 3 1 1 6 3 5 1 1 1 3 1 2 3 0 2 0 1 3 5 5 7 4 7 9 6 9 6 8 3 6 6 8 5 1 4 2 4 4 5 1 1 9 0 2 4 9 5 7 1 8 3 5 0 9 8 7 1 1 6 7 6 3 2 2 0 8 9 2 5 1 0 8 1 4 5 7 9 6 9 0 6 1 5 5 8 3 8 2 6 8 0 7 4 6 1 3 4 7 3 2 3 4 2 5 2 7 1 7 2 6 6 1 0 7 8 6 0 1 8 2 5 7 7 6 5 3 5 8 4 2 4 0 8 8 3 4 9 2 7 5 8 6 3 6 0 5 6 7 3 6 4 9 4 6 6 3 2 4 1 0 1 4 6 2 9 1 1 0 6 3 9 5 6 5 6 5 8 4 6 4 3 9 1 3 4 1 9 1 2 1 1 9 3 5 4 0 9 3 6 1 7 5 5 3 3 0 1 3 7 5 8 6 4 1 0 8 7 3 4 6 7 9 8 1 4 9 9 2 8 6 2 7 0 0 6 7 5 8 6 0 9 3 9 1 3 5 4 3 3 5 5 6 3 0 2 3 4 2 3 0 9 9 4 7 2 1 4 7 0 6 0 9 5 2 8 5 7 3 0 8 2 7 2 8 2 5 5 7 6 4 5 8 4 8 2 7 4 5 2 0 3 8 9 6 7 2 5 1 1 1 8 3 6 7 8 7 6 2 8 9 4 8 6 3 8 3 1 0 6 2 2 5 6 9 5 8 1 4 1 7 2 4 6 1 8 4 3 1 2 8 0 8 5 9 2 4 2 5 0 7 0 1 0 2 5 7 6 7 9 4 2 6 2 4 4 8 0 4 4 5 8 0 6 8 9 8 5 6 9 0 4 8 7 1 3 4 5 8 0 9 1 3 3 6 9 8 7 1 0 5 7 1 7 5 2 7 9 1 8 5 2 4 9 4 7 2 2 3 4 9 1 9 2 1 7 9 4 4 6 6 7 2 7 8 0 1 9 7 1 1 7 5 3 3 5 1 3 7 6 1 3 8 7 5 9 6 0 0 2 8 8 7 3 7 1 3 0 8 4 4 3 8 9 2 3 9 7 1 1 7 0 4 9 6 5 9 1 2 0 2 0 0 4 6 7 0 7 1 4 6 4 5 4 9 9 1 7 9 5 3 3 8 2 3 6 2 2 1 1 1 1 1 6 9 8 4 3 7 1 6 4 9 0 9 7 4 2 4 0 7 0 1 9 8 8 6 0 0 4 1 6 8 2 2 3 5 9 3 2 2 1 7 5 4 4 0 4 3 1 7 3 1 0 1 2 5 4 2 1 0 1 8 9 1 4 8 3 3 9 3 6 2 8 3 2 1 1 0 4 2 9 2 4 3 7 9 1 5 2 4 9 0 3 8 5 3 6 0 9 4 6 2 5 0 2 7 4 6 6 8 6 6 8 6 9 1 7 2 5 9 9 0 7 2 7 6 7 0 6 5 4 4 7 2 0 9 9 2 2 9 4 4 2 3 3 2 1 7 0 7 6 4 1 3 8 7 4 5 9 2 5 1 8 7 3 7 1 5 3 0 9 1 4 0 6 3 5 6 0 4 9 7 5 1 6 8 9 3 5 7 4 3 8 3 8 1 5 3 8 0 5 3 2 8 6 7 7 7 3 7 0 5 9 0 2 8 7 3 1 7 7 8 6 5 9 3 8 9 5 3 7 8 1 7 0 0 3 7 2 5 2 1 8 6 2 9 5 7 5 8 8 6 8 5 1 4 8 4 5 8 3 0 6 2 7 3 3 2 1 0 7 3 4 0 3 9 3 2 8 9 0 3 8 0 7 6 5 4 7 3 0 0 8 6 2 5 1 1 0 0 4 4 0 1 2 3 2 7 7 8 5 2 5 7 6 9 1 4 1 6 4 2 4 3 5 4 3 9 5 0 1 5 3 8 9 1 9 4 9 5 5 2 7 4 6 0 1 1 1 0 4 4 7 6 3 0 0 4 3 0 6 1 9 6 1 3 8 1 2 5 6 2 7 3 6 0 1 9 7 6 6 8 9 2 9 5 8 3 1 0 0 7 6 6 2 1 6 9 3 1 8 6 9 0 6 0 0 0 6 3 5 9 4 9 5 5 8 5 3 0 4 0 3 9 6 8 2 3 1 2 1 1 5 6 9 8 0 6 6 5 5 3 8 6 2 1 4 5 4 3 7 8 3 0 4 3 5 1 1 0 4 4 7 0 1 7 0 1 6 1 4 5 6 6 3 7 8 4 4 7 2 5 3 7 0 7 7 9 6 4 2 8 3 7 8 3 9 5 8 9 9 8 6 2 8 4 2 3 6 1 1 8 9 3 4 0 7 9 6 4 1 4 1 3 4 9 3 1 4 7 7 4 7 2 9 3 0 8 0 8 4 0 4 4 1 5 2 8 3 9 9 5 2 8 1 5 3 7 9 4 2 5 6 3 5 9 3 0 9 2 1 9 5 3 0 6 9 8 4 0 4 9 2 9 0 1 0 7 1 6 5 8 1 5 3 5 0 3 5 5 9 2 8 7 0 4 9 1 9 7 7 5 5 2 0 9 1 8 6 2 3 9 6 2 1 9 1 3 6 5 0 3 8 3 3 7 6 5 0 1 4 0 6 9 8 1 2 1 9 5 9 7 3 7 8 0 1 3 0 4 6 1 0 2 5 8 4 4 1 1 5 4 6 6 0 6 9 2 6 2 7 1 7 9 4 0 0 3 8 2 2 3 1 6 0 5 7 7 9 2 6 7 7 7 5 6 8 8 4 6 8 4 1 2 8 2 3 9 4 0 3 7 3 2 3 3 7 3 4 0 6 2 0 8 1 5 3 5 4 1 7 1 5 7 5 7 3 2 2 7 3 7 5 7 8 5 6 5 2 9 6 5 3 6 7 4 1 7 1 5 2 3 0 3 1 4 2 6 7 4 3 8 0 6 2 1 6 9 3 9 1 9 3 2 1 8 4 4 6 5 8 6 4 7 7 8 6 9 7 1 9 4 0 5 4 6 4 1 2 3 0 0 2 6 6 5 7 0 8 6 4 4 9 0 7 2 4 2 1 8 8 5 9 2 7 1 8 8 3 2 7 6 0 1 2 7 1 0 8 3 6 0 5 3 6 2 8 1 0 1 4 2 1 1 4 4 4 4 7 1 6 2 3 9 0 0 1 8 8 4 3 4 2 0 6 1 6 1 2 2 2 1 2 3 7 8 1 0 0 2 1 2 6 0 1 6 2 5 1 7 4 8 2 1 4 3 8 3 9 9 4 8 3 4 7 2 7 5 7 0 4 3 3 2 6 7 6 0 0 6 7 7 0 5 5 8 1 0 7 0 2 8 1 5 0 8 8 0 3 2 7 2 3 6 4 9 5 5 5 2 9 2 8 4 6 8 6 5 0 0 8 7 6 1 7 1 1 2 7 4 0 0 7 7 6 3 8 6 4 2 0 1 4 0 5 7 8 2 7 4 7 1 1 3 6 6 6 9 1 9 4 8 3 6 9 5 9 6 2 4 6 7 7 0 6 6 9 9 8 3 5 3 4 9 0 0 5 2 5 0 7 1 1 1 0 7 6 7 9 6 6 4 1 4 3 1 1 2 2 4 1 0 8 7 6 3 4 0 0 6 3 3 0 7 1 7 1 1 3 1 0 9 9 7 5 4 1 4 8 9 5 3 5 1 9 8 2 7 3 9 9 0 1 0 2 9 3 9 3 3 6 2 9 9 8 3 7 4 0 4 7 8 4 9 8 1 9 7 5 9 2 8 2 2 0 2 2 3 8 4 6 8 4 8 2 4 6 7 9 3 3 9 4 3 1 4 4 7 0 5 9 6 0 4 4 4 4 6 1 2 3 8 6 4 5 9 6 8 5 6 5 5 6 4 1 8 6 5 2 5 4 5 5 4 7 2 0 7 8 2 2 3 7 0 1 8 0 7 1 9 8 7 5 5 9 1 7 5 4 3 1 2 2 1 6 6 0 1 1 4 0 7 4 2 4 0 6 4 7 6 9 5 3 4 6 5 0 1 8 8 2 3 3 5 7 8 0 8 5 7 1 1 0 1 3 7 8 5 0 7 1 1 0 1 1 4 5 2 7 6 2 3 0 2 5 5 9 6 9 7 2 1 3 6 4 1 8 2 4 0 5 1 0 5 2 6 4 4 3 9 6 1 6 5 7 9 2 0 2 6 0 1 4 3 5 2 8 8 0 8 8 9 0 9 6 7 6 3 3 3 9 7 7 7 4 9 0 6 9 8 4 2 9 2 8 1 0 0 7 8 3 3 3 1 3 7 6 1 3 1 6 6 5 1 4 7 5 9 5 1 4 9 9 1 6 5 0 1 3 2 0 3 4 8 2 2 0 2 8 1 5 1 2 8 8 9 1 2 1 3 5 1 0 9 4 4 8 3 8 5 9 7 6 0 2 0 0 0 5 8 3 1 5 3 3 8 5 1 8 6 0 4 9 4 6 2 3 3 5 6 4 8 0 9 2 8 3 6 4 5 1 2 9 4 9 1 2 8 2 0 7 0 9 1 1 5 7 0 9 9 1 9 5 9 3 5 0 4 1 0 8 4 0 8 9 8 9 4 8 5 7 9 8 9 8 0 9 9 6 8 9 9 5 9 8 6 1 0 3 3 5 2 1 6 3 0 2 8 3 5 6 2 3 0 2 2 6 4 3 5 5 1 7 2 1 6 9 1 3 9 5 5 1 6 2 2 8 6 7 1 4 6 0 6 0 5 3 2 3 3 6 8 9 5 5 3 8 5 4 5 2 0 5 6 5 2 8 3 9 9 5 7 9 4 6 7 1 3 1 3 6 6 0 9 0 1 8 4 2 8 8 0 1 6 9 7 5 3 4 7 4 9 4 4 3 6 3 1 1 4 6 9 1 8 4 1 1 9 9 9 3 6 8 1 6 0 4 1 3 7 7 4 9 5 1 0 0 1 1 6 2 1 9 8 4 0 3 6 4 9 0 7 1 6 5 7 5 2 5 1 8 5 4 7 0 5 7 2 2 5 8 1 0 4 3 7 1 5 5 1 3 0 0 6 0 7 3 1 8 3 9 7 0 0 8 4 5 9 8 3 2 7 2 9 7 2 1 1 3 7 5 3 1 9 8 2 2 2 8 8 5 7 3 8 9 8 8 6 8 2 3 9 7 1 6 2 9 2 8 8 1 6 2 8 7 9 1 8 0 1 7 2 0 7 1 1 4 0 8 0 9 8 6 2 3 0 3 8 0 2 1 1 1 1 4 2 9 7 7 5 1 1 2 1 9 9 9 1 0 2 0 2 1 1 4 6 4 1 5 4 9 7 7 7 5 6 2 2 2 8 0 6 9 5 3 9 7 7 1 4 8 5 3 4 3 4 7 7 5 0 7 4 8 8 1 5 3 9 5 9 9 6 9 0 3 6 3 9 8 2 4 1 2 8 6 8 5 5 0 9 4 9 2 5 1 5 1 4 4 1 4 4 3 5 9 1 2 2 3 3 0 2 9 0 0 9 9 6 0 9 3 7 8 4 1 9 9 7 2 1 9 9 3 9 1 1 1 8 7 5 1 9 5 3 5 4 9 5 9 3 1 9 0 9 7 5 4 9 2 0 1 0 5 1 4 9 3 3 6 1 5 2 5 3 2 0 4 2 6 6 0 1 2 0 3 0 2 3 5 7 9 5 5 0 8 9 5 0 3 2 5 4 0 8 8 4 6 8 8 4 5 4 5 5 4 9 2 2 1 2 6 8 8 7 0 3 6 6 4 3 8 8 7 2 2 0 0 9 3 9 9 1 9 8 6 6 4 2 6 9 2 8 5 4 5 9 9 4 9 8 1 8 3 4 0 3 8 7 9 3 4 6 5 6 2 3 9 2 6 0 0 6 1 8 8 7 7 8 2 0 4 7 7 5 0 5 6 4 6 7 4 3 0 7 5 0 7 4 2 6 8 9 9 4 2 4 6 7 8 7 6 9 4 1 3 7 3 0 8 7 8 6 1 3 9 2 2 9 2 1 8 3 2 9 6 8 4 0 1 2 8 4 5 2 7 3 1 1 3 0 3 5 7 0 3 1 9 3 6 3 1 7 8 3 0 8 4 8 2 6 5 2 9 7 3 9 0 9 9 6 4 2 9 7 2 1 1 6 7 4 7 5 9 2 8 2 1 2 4 5 7 6 1 3 2 8 9 9 3 6 1 1 4 6 9 7 2 1 5 1 4 6 3 4 1 1 0 3 1 6 8 4 9 0 7 3 0 4 9 0 6 6 6 3 6 7 7 2 8 6 0 8 3 0 2 9 8 3 2 5 3 9 8 0 0 1 9 5 1 3 9 6 0 1 4 1 7 1 2 3 7 9 7 4 9 9 3 9 2 8 2 7 1 8 0 9 1 0 1 7 7 9 6 9 9 9 2 1 6 1 3 5 2 1 9 7 6 4 5 7 6 6 9 9 6 3 6 2 9 8 1 2 2 5 5 2 3 7 2 1 0 1 0 4 5 2 8 2 8 3 5 1 7 7 1 1 2 4 7 8 4 0 3 0 7 8 8 4 7 7 8 5 8 6 9 8 1 3 8 0 3 1 7 7 5 5 1 6 5 7 4 9 3 5 4 7 1 2 0 8 1 6 0 7 3 4 7 8 9 6 0 8 6 4 8 7 7 9 3 8 6 9 7 2 3 4 0 2 1 3 5 5 5 7 2 4 0 7 2 8 3 0 8 7 8 4 0 8 4 4 5 8 5 6 6 3 0 9 3 2 6 8 9 3 4 9 5 8 9 1 2 8 8 6 6 1 3 7 9 0 1 1 4 7 0 8 1 7 4 5 7 1 2 1 1 3 0 6 4 1 2 8 5 7 6 6 9 3 1 0 5 2 6 0 5 4 3 8 4 6 6 2 7 9 5 1 3 2 4 3 6 1 4 4 4 7 6 8 4 1 9 9 2 7 8 0 1 3 6 1 3 4 1 1 1 5 6 0 7 0 7 2 3 2 5 2 2 9 4 9 8 1 3 1 6 1 2 7 4 0 0 0 8 2 2 9 2 2 1 9 9 2 7 5 1 3 4 9 4 1 8 5 6 2 8 3 1 2 8 4 9 9 2 7 0 7 7 2 3 2 4 0 3 4 9 8 4 1 0 6 0 9 6 8 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 4 3 9 6 0 4 0 6 0 1 2 3 4 7 8 9 0 1 2 3 4 7 8 9 0 1 2 3 4 5 6 7 8 9 8 3 4 7 8 6 2 1 0 9 7 1 9 3 8 4 7 3 0 9 1 4 5 4 6 2 0 6 2 1 1 1 1 7 2 4 7 5 2 9 4 5 8 4 2 9 7 0 0 7 5 1 1 7 6 6 6 8 2 2 7 7 4 0 2 4 2 1 8 9 6 1 0 5 4 6 9 8 0 2 0 8 3 9 6 3 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 9 5 1 2 3 4 5 6 7 8 5 4 4 7 4 7 7 3 9 8 8 3 1 5 8 2 7 4 2 1 5 4 5 5 8 6 4 4 4 1 8 7 5 5 1 8 7 1 3 6 3 3 2 8 6 9 9 6 5 5 3 3 8 1 6 5 6 8 1 9 7 6 8 3 7 4 7 0 9 0 0 3 2 9 3 0 2 0 1 0 1 0 4 0 1 0 4 7 9 6 2 6 2 2 9 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 0 5 6 6 0 8 0 2 3 7 9 4 7 1 9 1 7 1 4 0 0 4 1 7 5 7 1 3 3 3 6 6 9 7 4 3 0 2 5 2 6 0 8 9 4 3 5 4 8 1 5 9 0 6 4 3 6 3 3 8 1 4 7 5 7 2 2 0 0 1 7 7 9 5 9 8 9 6 8 8 2 3 6 1 2 9 8 9 5 2 6 2 4 8 4 6 5 0 1 5 6 7 8 9 0 1 2 3 2 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 4 2 0 9 0 1 5 8 8 0 2 7 8 4 4 6 1 0 4 5 3 9 4 2 0 5 0 1 3 2 9 1 6 0 1 1 8 0 4 7 7 6 3 6 0 7 3 5 4 2 4 1 8 3 5 6 7 0 6 7 1 2 5 8 1 9 3 8 2 8 7 6 7 1 4 6 2 9 3 0 1 2 3 4 5 6 7 0 1 2 3 4 5 0 1 2 8 9 1 4 0 9 5 0 8 0 7 7 1 1 2 9 3 6 7 2 3 8 1 2 9 8 8 7 1 7 1 1 0 3 4 2 6 4 7 4 2 7 4 9 1 0 6 8 5 5 5 3 5 9 7 4 8 5 9 6 9 3 0 3 8 9 1 8 1 6 0 0 1 2 3 4 5 6 9 8 9 0 1 2 3 4 5 6 7 1 9 0 1 2 3 4 5 6 9 8 9 3 5 3 2 9 3 2 1 4 5 5 0 3 2 1 3 9 7 2 5 2 8 9 1 8 8 9 8 1 0 0 7 7 8 7 5 0 6 1 5 7 4 6 1 2 5 0 7 9 9 0 3 8 4 4 5 1 8 6 5 9 0 0 0 3 7 1 6 4 2 6 6 0 4 5 4 1 3 8 6 3 9 9 5 9 3 7 8 5 6 4 7 6 2 2 0 9 4 0 1 2 3 4 5 6 7 8 9 0 1 2 7 5 6 0 1 2 3 4 5 6 8 7 1 3 2 6 0 7 5 9 9 6 0 9 4 1 3 2 1 2 3 8 3 2 6 5 6 8 2 7 4 8 1 8 0 5 3 9 4 1 9 2 1 9 6 7 9 0 4 6 1 7 3 8 7 2 9 6 5 8 3 9 0 5 7 1 6 1 0 9 3 3 4 4 0 6 2 5 4 2 3 4 6 0 0 2 0 1 4 5 6 7 8 9 0 1 2 3 7 5 6 7 8 0 1 2 3 4 5 6 7 8 9 8 7 1 3 7 5 2 8 0 7 5 9 9 0 9 1 1 5 8 8 6 3 2 1 8 3 2 6 5 6 0 0 1 0 6 3 1 9 2 1 9 6 0 4 6 1 7 3 8 7 2 9 6 5 8 3 3 7 1 6 1 0 9 6 2 3 4 2 3 4 4 6 0 0 2 0 1 2 3 9 3 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 8 4 5 6 7 8 9 8 6 5 0 6 8 9 4 1 9 3 8 0 4 8 9 1 4 0 5 5 2 1 8 4 0 7 6 0 1 7 0 6 8 9 5 1 7 9 8 6 0 8 1 7 7 1 3 2 3 1 4 2 0 0 7 8 4 6 4 9 3 8 4 7 2 5 6 3 6 9 6 3 0 2 4 6 9 0 2 3 3 1 3 3 9 7 8 7 2 2 5 7 9 8 2 1 8 1 3 0 1 2 8 4 5 6 7 8 3 0 1 2 3 4 5 6 7 8 5 0 1 2 3 4 5 6 7 8 0 1 2 6 5 3 0 7 0 4 1 4 3 6 7 2 3 1 2 1 2 9 6 0 1 3 0 2 7 5 7 6 2 8 1 9 0 6 0 6 0 2 0 6 1 5 8 4 3 0 1 5 4 4 8 5 7 5 7 8 3 4 8 8 5 2 8 7 1 3 8 1 0 7 5 5 6 9 4 7 7 0 0 3 4 4 3 8 6 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 8 3 9 5 5 2 6 8 4 9 1 7 1 2 3 3 9 6 9 1 1 1 2 9 5 6 8 1 2 0 7 7 5 8 2 9 8 9 0 4 6 7 1 3 4 5 6 0 3 6 8 7 0 4 2 7 4 7 5 4 3 4 2 8 1 5 1 2 0 2 5 6 4 3 0 0 0 3 3 5 7 0 6 4 8 8 6 3 4 6 9 9 8 2 7 7 1 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 6 6 7 8 0 1 2 3 4 5 6 7 8 2 1 7 2 5 0 8 0 2 7 6 8 3 6 0 2 7 6 6 1 2 8 8 7 7 4 7 7 3 7 4 5 4 3 3 8 4 1 1 9 7 4 3 7 3 3 0 2 2 5 6 6 3 5 6 2 9 9 8 4 1 0 6 0 9 6 8 8 5 6 1 1 9 8 9 2 3 5 5 9 4 2 1 9 2 9 2 0 6 6 4 0 0 1 2 3 4 7 8 9 0 1 2 3 7 8 9 0 1 2 3 4 7 8 9 7 3 0 3 1 8 7 6 4 0 2 6 8 3 2 8 1 2 0 7 1 0 4 4 5 8 0 6 2 3 1 5 1 8 5 9 4 0 7 5 8 8 3 8 9 2 6 2 5 3 1 7 3 0 1 9 9 6 0 5 9 2 8 1 4 3 5 2 9 2 5 8 9 5 0 1 2 4 5 6 0 1 2 3 4 5 6 7 1 2 3 4 5 1 0 4 5 6 6 3 4 4 2 9 1 0 6 4 3 7 2 3 3 9 2 0 4 3 3 7 1 5 6 3 1 7 8 4 0 2 4 0 2 4 7 8 0 7 0 6 9 3 2 8 6 7 2 7 5 1 0 8 1 6 7 2 5 7 9 5 8 6 2 6 2 8 1 7 5 0 1 1 3 4 4 9 1 8 6 8 9 0 1 2 3 4 5 6 7 5 9 0 1 2 3 4 7 8 9 5 1 7 8 9 9 8 9 8 4 1 7 7 3 3 7 6 6 6 1 9 0 1 7 6 3 2 1 7 1 3 9 1 7 6 8 4 1 4 3 6 9 6 1 4 4 7 2 4 4 0 1 2 3 4 9 6 7 8 9 0 1 2 3 4 5 6 9 0 1 4 3 4 7 8 1 3 5 1 7 7 2 1 4 8 3 4 4 3 9 7 4 1 6 3 4 9 1 6 0 1 0 0 2 8 7 1 1 4 0 4 7 3 6 8 0 3 7 4 0 6 9 2 6 1 8 6 9 0 4 0 6 1 9 4 0 9 5 1 3 7 6 9 3 0 2 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 2 1 7 2 5 0 8 0 2 7 8 8 3 0 6 0 2 7 6 4 1 2 8 8 7 7 4 7 7 3 7 4 5 4 3 3 8 4 5 4 1 1 9 7 4 3 7 3 3 0 2 5 5 6 3 1 5 2 5 9 9 8 4 1 0 6 0 9 6 8 8 5 6 1 1 9 8 9 6 3 5 5 9 4 2 1 9 4 9 1 3 7 2 0 6 0 4 0 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 3 8 0 7 1 0 7 5 5 6 9 0 1 0 0 8 3 4 3 1 5 0 0 9 5 3 4 9 3 7 6 9 2 4 5 7 2 6 4 9 4 9 4 1 2 2 5 8 1 3 2 9 4 3 8 2 2 1 2 8 6 5 1 6 7 2 1 3 9 3 8 7 5 7 0 7 4 8 8 5 0 6 6 3 7 6 9 9 4 8 4 1 0 6 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 4 0 4 0 1 7 4 5 1 4 2 8 9 4 3 7 8 2 4 4 3 3 6 9 9 5 8 6 7 0 6 8 2 6 3 9 3 2 7 6 1 7 4 8 8 9 0 3 3 9 0 5 2 9 4 1 0 3 7 5 8 7 7 8 2 9 7 1 2 6 4 2 5 2 3 6 6 5 0 0 2 8 1 6 1 0 4 3 1 6 1 9 0 1 4 5 6 7 8 9 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 8 9 8 4 0 0 7 2 4 3 8 6 6 3 2 6 3 3 6 1 4 7 8 0 3 1 9 0 1 9 1 2 7 0 1 3 8 2 9 2 7 6 5 5 9 9 8 2 9 1 3 2 3 4 3 1 9 0 9 3 6 8 7 0 1 0 5 8 2 7 7 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 7 4 8 1 5 6 5 7 2 8 6 3 3 8 6 5 4 0 9 1 7 2 9 1 5 1 3 2 2 3 0 6 4 3 7 6 9 0 9 8 1 4 0 6 1 2 6 9 2 2 3 5 5 1 0 7 7 9 6 2 9 4 7 0 2 3 4 0 0 8 8 8 5 1 3 7 4 9 8 8 9 0 9 8 9 0 2 6 5 6 7 4 7 5 4 1 3 5 3 1 2 3 4 5 6 1 2 3 4 6 0 1 2 4 5 6 7 8 1 7 2 4 1 4 1 4 9 6 8 4 5 3 1 8 8 3 3 5 6 7 0 6 1 6 8 7 0 1 5 0 8 5 0 1 5 8 4 2 3 9 7 6 9 1 9 0 6 7 1 2 3 9 2 4 5 5 3 7 5 3 1 8 2 2 3 0 2 9 4 9 7 0 2 7 4 9 9 2 3 9 8 3 8 6 7 0 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 0 7 2 6 5 5 3 7 3 6 6 6 6 4 3 8 8 3 0 1 9 0 5 4 1 9 1 2 7 0 1 3 8 2 9 2 7 4 2 6 5 5 9 9 1 1 5 7 6 8 2 9 4 3 1 9 0 9 3 6 8 7 0 1 0 5 8 2 7 7 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 8 9 0 1 2 3 4 5 6 7 8 9 2 1 2 1 3 9 9 8 5 3 7 0 7 7 5 7 9 9 4 7 0 3 4 1 5 8 1 4 8 4 1 8 6 6 4 6 0 5 5 3 3 5 7 2 5 9 6 9 2 6 2 1 2 0 8 3 8 3 0 8 7 4 9 5 0 9 7 0 0 4 6 0 9 1 6 2 7 6 5 3 5 2 1 8 3 8 6 1 0 2 1 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 7 6 4 7 6 2 3 4 8 7 8 6 9 8 3 2 2 8 4 8 5 6 5 0 2 0 1 1 2 9 6 8 2 1 0 6 5 2 9 7 2 3 9 2 7 1 8 3 8 1 9 5 5 0 1 1 9 8 2 6 0 4 5 0 2 1 8 6 7 5 9 9 3 0 3 1 4 4 0 4 9 0 1 2 3 4 6 7 8 0 1 2 2 4 6 7 8 9 0 1 9 3 4 6 7 8 9 9 7 0 9 0 1 5 8 8 0 9 3 4 7 8 4 6 1 0 4 9 4 4 0 4 0 1 6 9 3 2 9 1 6 0 8 1 8 7 7 6 3 6 0 7 2 4 1 7 0 6 7 1 2 4 8 1 1 2 8 7 6 8 7 8 6 2 9 3 0 1 2 3 4 5 6 7 8 9 0 1 6 2 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 9 5 7 0 3 1 6 8 4 1 5 6 4 2 7 8 1 3 4 3 4 7 2 0 5 0 1 9 2 3 2 3 5 5 7 8 4 9 9 7 1 1 9 0 7 8 3 4 8 6 3 8 0 9 6 2 8 0 1 0 6 2 3 8 9 0 7 2 3 4 5 5 2 8 5 4 6 6 6 7 9 1 8 2 1 5 3 4 7 9 4 0 0 0 1 2 3 4 8 6 7 8 9 0 1 2 3 4 3 6 7 8 9 0 1 2 3 4 5 6 9 0 1 3 1 5 1 8 4 9 8 6 6 8 0 1 1 9 2 6 6 8 7 4 2 9 7 0 2 1 0 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 8 6 5 9 7 0 2 3 4 3 8 5 1 5 2 3 0 1 2 1 3 2 6 5 3 0 7 2 7 4 6 4 0 5 9 9 5 9 5 3 1 7 4 7 6 5 4 0 0 6 6 2 0 6 3 7 7 4 4 3 9 2 8 9 6 0 9 5 3 8 8 7 1 4 0 4 8 5 2 3 9 0 1 9 1 5 1 7 4 8 6 2 1 6 8 8 0 1 2 8 4 7 8 9 0 1 2 3 4 6 7 8 9 0 1 2 3 4 7 8 9 1 4 5 3 8 0 9 5 4 5 0 4 4 6 7 0 7 7 1 6 9 1 3 6 2 3 5 2 3 8 9 5 8 8 7 1 7 1 1 0 3 4 2 6 4 7 4 2 7 4 2 9 2 7 9 2 1 0 6 5 3 4 8 5 9 6 9 0 6 3 0 6 1 6 0 0 1 2 3 4 5 6 7 0 1 2 3 4 7 8 9 0 1 2 3 4 7 2 5 1 6 4 3 9 9 0 9 7 1 6 4 3 6 2 0 9 8 6 5 7 0 0 1 7 4 3 2 4 1 3 7 6 4 7 7 7 9 8 9 3 6 2 6 3 5 8 0 5 4 7 1 3 1 7 9 6 2 0 9 1 7 3 3 9 1 6 4 3 9 8 2 1 8 6 4 1 5 5 6 5 0 1 2 3 4 3 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 5 9 6 9 7 0 2 3 4 3 8 5 1 3 0 1 2 1 3 2 0 7 2 6 4 0 5 9 9 8 9 5 3 1 7 4 7 0 0 6 6 6 3 7 9 2 6 9 8 7 1 4 0 4 8 5 2 3 9 0 1 9 1 5 1 7 6 1 2 1 6 8 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 0 1 2 3 5 6 7 8 1 0 4 5 6 6 3 4 4 2 8 1 0 6 4 9 7 2 9 2 0 9 3 3 9 1 5 2 3 1 6 7 3 7 8 4 0 2 4 0 2 4 7 8 0 7 0 6 9 3 2 4 8 6 0 5 7 5 1 0 8 1 6 7 2 9 7 9 5 6 5 2 6 2 8 1 7 5 5 7 3 5 0 1 1 3 8 4 9 4 5 1 8 6 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 3 5 3 2 9 3 2 1 4 5 5 2 3 2 1 3 9 7 2 1 2 8 9 1 8 8 7 8 1 0 0 6 7 7 8 7 5 0 6 1 5 7 4 6 1 2 5 0 7 9 9 0 3 4 4 8 4 1 8 6 5 9 0 0 0 3 7 1 6 4 6 0 4 5 4 1 3 8 6 3 9 9 5 9 3 7 8 5 6 4 7 6 2 2 0 9 4 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 6 4 2 6 4 7 5 5 4 7 2 9 3 9 3 8 2 0 9 5 6 0 1 0 6 5 3 5 3 8 0 0 3 4 1 5 3 0 8 3 0 6 2 7 8 1 7 1 3 8 5 4 2 0 9 7 6 7 4 1 6 2 6 7 1 9 8 0 6 9 4 9 9 6 2 3 7 1 9 2 2 5 3 7 8 0 1 2 3 4 7 8 9 0 1 2 3 4 7 8 9 0 1 7 8 9 8 9 2 6 1 3 5 4 8 2 6 4 3 4 5 9 2 0 3 9 4 9 7 3 8 7 4 4 9 8 5 8 2 6 6 2 3 1 3 2 7 3 1 9 0 1 1 3 5 0 7 8 1 5 1 4 6 0 0 4 9 1 6 6 9 0 7 6 1 1 0 1 2 3 4 2 8 3 4 6 6 2 0 1 2 2 8 6 3 9 2 1 9 3 9 6 1 7 2 4 4 5 2 0 0 1 6 6 8 2 7 2 2 4 2 1 6 1 0 6 9 8 3 9 6 3 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 6 8 9 9 0 1 2 4 4 3 7 4 4 4 0 3 8 7 5 8 2 1 7 5 3 8 5 2 5 1 1 6 2 1 3 8 6 4 2 6 2 5 5 0 2 8 0 6 8 1 4 9 1 9 2 6 7 6 6 8 7 4 9 2 1 3 3 0 5 5 8 0 3 7 9 7 0 2 7 9 1 7 8 0 3 5 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 7 8 9 6 4 2 6 9 7 8 9 2 9 3 9 3 0 0 1 0 4 2 6 3 5 3 0 3 4 1 5 3 0 8 3 0 6 1 7 8 0 9 2 6 7 1 9 6 9 4 9 9 6 7 1 2 5 3 7 8 0 1 2 4 5 6 7 8 9 0 1 3 4 5 6 7 5 0 1 3 4 7 8 9 7 5 5 1 9 9 7 1 0 0 5 9 7 1 7 2 2 3 6 8 3 2 0 0 6 1 7 5 3 6 2 9 4 8 8 7 1 0 8 7 7 5 8 5 3 4 6 1 1 5 5 0 7 2 3 6 4 1 2 4 1 5 4 2 0 4 8 6 1 9 0 2 5 6 9 3 6 3 6 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 5 6 7 8 1 0 9 5 7 5 1 8 6 9 0 4 1 9 3 8 4 4 7 0 1 9 2 8 7 8 2 5 9 6 0 6 5 5 3 3 3 9 8 1 1 0 6 1 0 0 6 2 1 1 3 4 7 7 8 8 7 8 4 6 0 2 0 7 0 3 6 8 7 1 5 9 9 3 7 2 4 9 4 3 6 2 2 5 3 2 5 3 9 4 1 7 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 1 0 1 2 7 5 3 4 4 0 0 6 9 6 6 5 7 2 3 4 4 9 1 4 0 7 7 5 7 2 3 1 4 4 0 9 7 6 1 8 3 3 7 3 9 8 8 4 7 7 6 2 1 9 8 7 8 8 7 2 2 3 9 3 3 5 5 0 7 4 5 6 5 1 4 1 1 2 8 2 6 1 5 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 8 0 6 0 8 2 3 7 9 4 7 1 7 1 7 1 4 0 0 1 7 5 7 1 3 3 3 1 6 9 7 1 2 0 7 6 0 8 9 4 3 5 4 8 1 5 9 0 6 5 3 8 1 4 7 5 2 0 0 1 7 8 9 6 8 8 2 3 5 1 6 9 5 2 0 1 2 3 4 5 6 7 8 9 0 1 0 3 4 0 6 7 8 9 0 1 2 3 4 6 6 7 8 9 7 4 6 1 4 0 9 9 3 7 1 2 7 5 8 6 3 2 0 0 5 8 6 0 3 8 1 0 3 0 4 7 4 9 0 9 0 7 1 7 1 6 6 5 6 0 1 7 6 4 9 9 5 3 7 4 3 0 4 6 6 1 1 3 2 1 0 0 1 2 3 4 7 8 4 0 1 8 3 4 5 6 7 8 0 1 2 3 4 7 8 9 0 8 3 9 5 5 2 6 8 4 1 7 1 7 3 5 6 9 1 1 1 2 1 2 0 7 7 5 8 2 5 8 3 7 3 4 6 8 7 0 4 8 7 7 5 4 3 4 2 8 1 5 1 2 2 3 3 6 7 0 6 8 0 3 4 4 8 8 7 7 1 0 1 7 8 9 0 1 2 9 4 5 6 7 8 0 1 2 3 4 7 8 9 7 8 6 4 1 9 3 8 4 4 7 0 1 9 2 8 7 8 2 6 0 6 6 3 3 9 9 1 4 0 6 1 0 0 6 2 1 1 7 7 8 4 6 0 7 0 3 6 8 7 1 3 2 4 9 4 2 6 4 1 7 2 6 2 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 -------------------------------------------------------------------------------- /t10k-images.idx3-ubyte: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Anonymoushhh/Ensemble_Learning/687e52fc97b918c08aa82423bfcb3491873d407b/t10k-images.idx3-ubyte -------------------------------------------------------------------------------- /t10k-labels.idx1-ubyte: -------------------------------------------------------------------------------- 1 | '                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             -------------------------------------------------------------------------------- /train-images.idx3-ubyte: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Anonymoushhh/Ensemble_Learning/687e52fc97b918c08aa82423bfcb3491873d407b/train-images.idx3-ubyte -------------------------------------------------------------------------------- /train-labels.idx1-ubyte: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Anonymoushhh/Ensemble_Learning/687e52fc97b918c08aa82423bfcb3491873d407b/train-labels.idx1-ubyte -------------------------------------------------------------------------------- /作业五实验报告赵虎201600301325.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Anonymoushhh/Ensemble_Learning/687e52fc97b918c08aa82423bfcb3491873d407b/作业五实验报告赵虎201600301325.docx --------------------------------------------------------------------------------