基于visual Studio2013解决C语言竞赛题之0609矩阵处理



题目

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解决代码及点评

/************************************************************************/
/*
9.	在主函数内任意输入一个5×6矩阵，编写一函数求出每一行的和放到一个一维数组中，
输出此矩阵及其每一行的和。

*/
/************************************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <string.h>

void main()
{
	int arr[5][6]={0};
	int sum[5]={0};
	for (int i=0;i<5;i++)  // 初始化矩阵
	{
		for(int j=0;j<6;j++)
		{
			arr[i][j]=rand()%100;
		}
	}

	for (int i=0;i<5;i++)  // 累加
	{
		int s=0;
		for(int j=0;j<6;j++)  // 某一行的累加
		{
			s+=arr[i][j];
		}
		sum[i]=s; // 累加结果保存在sum
	}
	for (int i=0;i<5;i++)  // 打印结果
	{
		for(int j=0;j<6;j++)
		{
			printf("%5d",arr[i][j]);
		}
		printf("这行的和为:%d",sum[i]);
		printf("\n");
	}
	system("pause");
}

代码编译以及运行

由于资源上传太多，资源频道经常被锁定无法上传资源，同学们可以打开VS2013自己创建工程，步骤如下：

1）新建工程

2）选择工程

3）创建完工程如下图：

4）增加文件，右键点击项目

5）在弹出菜单里做以下选择

6）添加文件

7）拷贝代码与运行

程序运行结果

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bXI/5Jx/XXtOu6xjIYf/W131ps23r5B8KnbzwxHFN9Yhn3dlPYMvp6WLLvcddiVJbs96hnhmcOzm9xTPW18Ozhp6Nd5941Lh5n5YYP/2G45ZxnDj/5zb+ex1yH4bi3hDecE8KnL/3saL9jrp2iKIqyW4nWD8LS+kFI6irRAw88MLZETePzUn37fiDfwzCwpSDYXKKmNeslahqfl3jO0eK1GDyPe6sC5KA91g0f46eao32vWz8InF8Jv/d/vmZxrTe8+Z3hCaecXD2mutj+t1/+SnVOw09HR0F0tFYKp9V6+R5aSrL4K6FuuXP4cXCbf/zwh4SDHzI4wcHi2+9/IKzfZ/3g+b6Dlu1h57Zt4f5t8SfvQ9i2fVvYvmNHtYm4uff82/eHM5/zovCQ3X4l1C3h8ne+JXzqxtFhdMRzwhsvODss/tKeW/8qvOtt3wjHvflfhdMPH9VV4z4QwvmxLn8+al40nP+Ws/99ePHRo6rKteEjr/73If3myRBODK+4+BXhyPi0Wu+mcPaS4z8fBJ+hE341m2tJ2645tnz+98I7PvG/Fs9lyx//8/BH8a82Ro/75+E9vzL6BwUq2f5DtvaSfcT9fjJsWLwGtXNeso9Hhmeeuyl86upNi9fx243rD69NuvabHndiCIM+u68dLb1eS65BJd/P0nkr9dc0ar2uw/G3bDwxfPMb6XekZa/PwOL1HViy71gx5loMdV2/pWt1nnvruNq1Pfct4fWD8F+pxmRfzy3XoXrNbk7XbTTfxtFr1zIGgGaf/sSV4bnPfmr4h7tGnzC2uOrzl1VBa5wTn3xyeMoZZ46Omh38kP3Cn/3FleEZ5w5/l+g87eHOeweBbYnhB4iDSFg9u+pznwt/86UvD6sGnnDKk8PTzjorXFmrf+Kg/imD+ipSxoG7suWig/bfZ8ke2mw46EFLf0/prT/pvlB/9sf/IUbd0dHu9t13n0Hz+vDA/fctnl608R/9TDjm8SeFAx68cv/M6JbLLgxvv/nc8N6X5gFvBQxu+P/mrTeFp//bPJisrsVz2XzLyqx93R+F13xmU3jTG2pBcBWt2uuxXC3XYm73C8CK+9RfXhGe99zTwo/uHn7COAsPe/C+4f/5sy+EZz7radXxPO3hx/fke4i5Lk9tQwtVQM3rU/4b1FVDRj3iJ507hz0Xe8SsOPr1oA89YOke2hx+4H6T/TOj55738rD5F3+5tZx27gvC0855XjirVn/siSeH/Q84oHHOacvhZz0rPO4bV4dvN7Qtp2y9/uvhpiM2Db/NPKOSzuXyqda+NVx+0R9l1+Fb4SMf+FrYdMJxRc5hpV+PyUr/azEf+1UURVFmVuK3ktfPrqQf9JnHPQyfx8dY8vwXxwy/9R4T5rDvsG7Yb9Q3/hlVDP57+Dg6TnXVt/Xj86Y9NJRk8ZPSrXfXP87di1z3gfDq/xD/6awnhFf+wSvDUcPa2Vju2rd+Jrzzwj8N6TvmRzz7wnDBmaNvF+9tXAsAar5w2VfD445/dNi4cVbfPwzh5pu3hG9c/d1w2pknVcf2MNxDm0c8eJ+l377/4d3bR00AAHuGn9x5d/ibv74m3HPP7P6Z0QMO2D888UnHhQMPGv7VRXvo/iucP/Xg9UtD6W33dPyeUQAAWAUPP2Dd0r9TWv0lAEVRFEVRFEWZZRlZ/KT09nt3/+krAABYTYfuvzD89v0555yz84OXfLQ1lH7t8386egYAAJM7//zzw3dvvHN0tFQMpb/6svP6hdKvfS3+dDgAAEzmzW9+c3jkIx+5cqH0/e9//6gG2NNceeWV4alP7f4XN3KT9s+1jZ3lHnIrNQ/Anujee+8NW7duDfvss0/Yb7/9qn8+NBd/z+jOnTuX/L7RKP0O0jj+vvvu6xVKl84M7NFiAGsSQ1lb2zhxXFtZLWnuSddYzT0BsDxCKexFlhM+kzg+/2QxPm8rdfWxk4hjU4na1ugS+6fxAMwXoRT2UnnIS0GtqS4X65YTKtNjXnJdbSmEtq1fH1sfD8B8m9u/U5puKE03oNg27Y1xufIbXb6HrhvgrPZa30PXul3Xt5Smazjr/bW9vtEk13c1zOr1jWObxuX1bX26NI1JdV1tTfr07xqf69tvnDhPrml/ufpem6zEvgCWY6//O6Vtb9BRV9tqS2vHG0XbzSK1zfpm0rS3tmtV8hq2qe9/3DmshqZrmDS1ld5b2/qT7GuSvvVrMktxn3mp1/WR989LW9skUv+212dce5La834Ae4u5C6VtN4NY39Y2C/lNZR71vYmVvIaTmPU+5/317avtusX6vCTxfPPj+HzcNcj7pPm6yjixz7g1Y3te6nV95P3zcW31TSY5r9y4eQHWqvXr11efoMbH5ZqrUJre6JvevOf9TX0t3HS6ru88mfSGvzfo8/XV538/bW19r3m9Xz5vmruprkvqM+0e5kHfcwXYk8QgGr+d/8QnPrF6XG4wnZtQ2nVDnSdxn6l0KXU++d7ytUvtZ1ql9pmuX7peSdpPU9uspfVX8vWN4+IcXePHtfcR58hLLu2hr0n6jtN3rrjHVNqkuZr6xLY+7akPwLyKATSWxzzmMWH//fcPr3rVq5YdTOfy2/f5G/K8vTnnN6S2vaX6rhvXahm3v1iX17edQyml99N1/fK2KH8+K2lPbWvH9nzffa9n7BfnbOuf2pcrzpGXSeX7iI99z6/JSs6VpDnazi3Wp7Z8vVTf1g4wT1IgPfLII8NjH/vYcMYZZ4TjjjsuXHzxxcsKpnMTSpvelKP8+Vow7qZUSn5t873N2z6jedzTPOj62kqvaypJU9+6OG/qFx+bwlCfeVbCrNaZVrw2qdSlunk/B4DliqHzZS97WXjBC14Qnv/854fHP/7xVTh90pOeFK666qrdfkK/r7n7pJTptN0o15q1EEqiWe+zvu5Kvd5xjvq5xOOVmHulte11Gis5V5SuV5ojHufXsH5cN64dYJ5s3749XHLJJeF3f/d3w4te9KKwefPmcOqpp4YTTzwxPOUpTwk7duwY9ZzMXIbS+pt5eqzX58errelms5yb2EqbZH/5dcufl1Tf/7hzWGl9rl+qLynfX5u8vatvbJvV9V2uvnuN/VJps5zzjuNSadK2duqft+dzjGsHmCcxlN5///1VeeCBBxYfU4nt05jbX54PrLwYeGLYSY/T6Bo7rq3JtHPV2+p1ffq06dsPYE+31//yfGDl5UErPsbjPqWPvv3iunmpS/PEx6b2LvX+9eNxcy5nbQCWzyelwETaQttKhbk+80y6Vt/+K3UOAHsKn5QCMxXDWF8xtDX17xvm2tZK9X3madtDm64583n6ngMAK08ohb1IW5CbNOTl4ri2slrS3JOusZp7AmB5fPse9jIxmDV9IthWX9e3X5OusePmje25ldrDcs4HYE8Xv/1+/fXXhx/84AfhtttuG9Xu0vbt+4MPPjj83M/9XPVt+77fvhdKYS+TQlg95DWph7XlBLi29dJ8Te1tazXto+/4+timuQAYiqH0k5/8ZPXv2x966KGj2lAF0Si2x19LunPnjqou/bqof/iHH4Xvf//vwimnnLL2QmnTDSVJN4x6n1neSNr2V7+55Urc6PI91Nef9/3lUr8Se2xSv3ZJqf3Vr89K7i/O1TQur2/r06VpTKrramvSp3/X+FzffuPEeXKT7D3qOx5glmLo/NCHPhTOP//86ngYPHeEHTGE7tgZfvKTu6ogun2QTLdv2x7uufee8OMf3xkOfthDwxe/dGX4pef/0tr9Qaf4RpxKLr1h5231N/FZyPeX9hHNw/6a9pDM+/5ys97XJNLex53Dauq6PpPub5JrXep8o7jPvNTr+sj756WtbRKpf37dm+Zom7fveIBSYhiNJf5rTVUZBNPhp6IPDELn/VXwjOWee+5dbJuUH3TaQ+Q3tXnUd39uxN2mvT5xXF6S+Hrkx/F5n9coD07jyjixz7g1Y3te6nV95P3zcW31TdrOq+84gLVsGEp3BdP4iem27dvCtm3bwgODcBoDavz0NAXYSc1NKB33pp7M+xv7vO6v7/UtKV27ed9nKcu5Pun1bxob6/p+3db75fOmuZvquqQ+0+5hLRh3LfpeK4A92dx+Ulq/Aedv2PW2WYprp5Kb9/3l5nF/Jfc0ibb9r7a+12fa/cV545iu+ce195HvL5Zc2kNfk/Qdp+9ccY+pNMnPa9prtdzxAGvVXIbSpjflrrpZiOvmJcrXL72/pG1/SdM+Z6nP/vL6pj4lpH2P2/9qa7s+y91f7BvHtY1J7cuV73Ga+fJ9xMdJzrFuJedK4jxpzmnmS2PSHAB7k7kLpX3elOf9DXte9zfPN7y4p7wk87jXElbz+sSvizRPfGwKUyuxTh+zWmda8dqkstLSnPN+DQBWix906mm1bkSzUr/hrfXzmbV5v17T7i+OqYegeDyP59q212ms5FxRnG851yyNTXtY7nwAq2X9+vXVv4H/oAftF/bf/0HhoQcdFB72sIeGQw45OBx66CHhwAMfMuo5uTUTSpverJdzE5nUuPXnfX9J3j5Lk1yffH8l9tpkkv2vtqbrM83+Yr9S5zCpvntN55+uQZPlnHccl0ouHedr533qe6ofJ231APNi3bp1YfNZZ4Z/+epXh7e/7a3h4ve9J/zB718c/uxP/yR869pvDoLq/qOek/MvOsFeJAaeGJbS4zS6xo5razLtXPW2el2fPm369gPY06Vfnv/Sl760+jVP69atHwTS3wwnn3xyOPiQQ0a9QjjwwAPDQQcdFA455KfCjTfeFB72sIPCV//6y2v7l+cDqyMPWvExHvcpffTtF9fNS12aJz42tXep968fj5tzOWsD7C3i7yd9z3vfF37xec8bvFc+LZx44hPDCSc8Pvz8zz8qPOIRG6oQOy2flAITaQttKxXm+swz6Vp9+6/UOQDsKZo+KT3zjNPDox/96EEIfcSoVwgbN24MP/3TPx0ee+QxPikFphfDWF8xtDX17xvm2tZK9X3madtDm64583n6ngPA3uyxj31sOPXUU8OTTjppsRx51FFh0xFHjHpMRyiFvUhbkJs05OXiuLayWtLck66xmnsC2Bus5rfvhVLYiywnfCZxfP6JYnzeVurqYycRx6YSta3RJfZP4wGY3Gr+9L1QCnupPOSloNZUl4t1ywmV6TEvua62FELb1q+PrY8HYGVs3rw5nHvuueGswWMqJz7hCeFnfvZnRz2mM1c/6FS/iXTdfKa9MS5H1/66boCz3Gu+j7V0/XLzuL96W1Jin1HaT9cep91b2/XP69v6dGkak+q62pr06d81Pte33zhxnlzT/nL1vbZZib0BTKv+g06D6FjV79y5I+zYsTPcffc9Yfv27dW39bdv3xF+8pOfhNtuu31t/6BTelOOb8DpTbjpjbrrzXs19d1fak99Zqlpj3Xzfv3mfX+pPe83a13XLd9Xn2vZp09S6nyjuM+81Ov6yPvnpa1tEql/2/Uf156k9tQHYN7EAHr//fcPgub9g8B6X/jxnXeGH/3ox+GOO/4h3H77HYNQeteo5+TWzLfv4xt405s4Q/lNr8m8Xz+vbz/TXqN0fevXOX695Mfx+bhAlPdJ83WVcWKfcWvG9rzU6/rI++fj2uqbtJ3XuHEAjDd3obTtJlb6TX/c+qX3N479rX3pfxtN12nc9UvtbWPb/ndX1xbG8rmb6rqkPtPuYU/Q91oB7MnmJpTmb8hdN9950Gd/pc4hrpvKPEnXYR73FvXdX2qf9Tmk9fp8PU3SN4l947iuMePa+4hz5CWX9tDXJH3H6TtX3GMqTfLzyvuk53l7l6Y5APZ0c/l3SpM+b96z1udmUfKGEtdM687b9cv3FpW4Pl269pfa8j4lrm9cM1+3vod0nO+9jzgujqnPl6T25UrXL5VJ5fuIj2377WMl50riPGnO+nx5W5Q/z6Vxbe0Ae6q5/Dul8/pm3Odm4YbCaohfT3lJ8ufTfu3FcWlMfEzz5Cadc1qzWmda8dqkshrSvPN+HQBWw5r5QafS6jeL1bwx7cnm/abbtr95f73r++6739infq7xeB7PtW2v01jJuaI4X59rlvosZy2AUuKvhIol/vqnWKpfC7V9+HxYtocdsW5QpjF3f6c0f3PP37jrb/r141kpte44a+H6da037/sbd31nKd9nfc/5/saJ/Uqdw6T67jWdf9c1WM55x3Gp5NJxvna9T9eeAOZdDKPx95Bu27at+rVQ8fnw+IFh2b5tsW34+0wnN1e/PB9YXSmQLSeYdY0d19Zk2rnqbfW6Pn3a9O0HsKeLvzz/z//8z8OTn/zkcNBBB1VBNH4iGnNnDJ933nlnVbcz/qk+LR1+knrXXXeFv//774Uzzzyz9y/PF0phL9EU2vroE+xSXVeY6xqX9JknGtfepO+c08wNsKeKofSaa64JP/jBD8Jtt982qh3v4IcdHA477LBwzDHHCKXA6mgLbSsV5vrMM+laffuv1DkA7CliKN26dWvYZ599wn777RfWrVv6Nz8XFhaqT0zjYy4exxLHr7l/ZhQoJ4axvmJoa+rfN8y1rZXq+8zTtoc2XXPm8/Q9BwBWnlAKe5G2IDdpyMvFcW1ltaS5J11jNfcEwPIIpbAXWU74TOL4/BPF+Lyt1NXHTiKOTSVqW6NL7J/GAzBfhFLYS+UhLwW1prpcrFtOqEyPecl1taUQ2rZ+fWx9PADzba5+0Kl+E8lvPl03mGlvkpPq2l+S95nVvpI++4tiv1nvbVLpXOZpn32v72qor53ke1ip/bV9feT1bX26NI1JdV1tTfr07xqf69tvnDhPbpK9R33HA8zSXvmDTukNOb4Rpzfj+pt0lNpn/YbdZ39NfWal7/Vrqps387jHvtd3taX1831E0+5vknPI15u1uM+81Ov6yPvnpa1tEqn/uOvfNm/f8QB7Mt++7ym/WTTJbyrzKO5vLdzk3Iin0+frMy9JHJMfx+fjvobzPmm+rjJO7DNuzdiel3pdH3n/fFxbfZNJzis3bsy4dQH2BnMTSse9KXvTXp61cP3STXse97nWv/7S/pvOIdb1DVn1fvm8ae6mui6pz7R7mAfjzrXvtQDYm83lJ6V9wkmfPqshrtu1dmpPfWYl7aXE2ish7Xkt3LhL7jW9vm2vcd42yf5i3ziua8y49j7S/lLJpT30NUnfcfrOFfeYSps01zTXKo5dzniAtWzuQmmfN+SSb9pxzbRu2kduXPtqyteO8udrRbxm+XWb9TUcJ+1n1tc2vbapRE3XZlx7m9g3jmsbk9qXK+0vlUnl+4iPk5xj3UrOlaQ5pjm3KI5LY1diPwBryVyF0j5v6Mt902c+pZtxKsk8vc576tdePK90TvGxKQzN6pzn/drGa5NKXarb074+AGZlbkJp/Q297Y2/lHnbT5v6dWRl1K/rrL8exq037X7imPrXSjyeZq7V1rbXaazkXFG6XmmOeDzJNZy0P8CeaC6/fT+Pb85NN5v8JjaufRa6rlu+r6h+PE/q+5wnpa7banz9xX6z/hqdVt+9pvNP16DJcs47jkulSdva9fr6cZovr592jwBr1Vz98nxgdcXAE8NOepxG19hxbU2mnaveVq/r06dN334Ae7q98pfnA6srD1rxMR73KX307RfXzUtdmic+NrV3qfevH4+bczlrA7B8PikFJtIW2lYqzPWZZ9K1+vZfqXMA2FP4pBSYqRjG+oqhral/3zDXtlaq7zNP2x7adM2Zz9P3HABYeUIp7EXagtykIS8Xx7WV1ZLmnnSN1dwTAMsjlMJeZDnhM4nj808U4/O2UlcfO4k4NpWobY0usX8aD8B8EUphL5WHvBTUmupysW45oTI95iXX1ZZCaNv69bH18QDMt7n6Qaf6TaR+8xnXvtrW+v6S2G/We8t1rZ+fQ6k9tu2v7/VdLV3r19uSafbYdf6pvq1Pl6Yxqa6rrUmf/l3jc337jRPnyTXtL9e1Zuq7EvsCWI698ged8jfh9Eacv4mPa19ta31/ySz31KRr/aZzmLW2/TXtbZbXsu/6qT3v12WSc+gz32qJ+8xLva6PvH9e2tomkfrn1z2fY1x7btK1AfYUvn2/l4g3upI3u3Hrp7ZSwaf09Vlt6fzq5xmvd34cn497DfI+ab6uMk7sM27N2J6Xel0fef98XFt9k7bzGjeurz7XC2BPtWZC6Uq96S9X202j9P7GrT/v+yut7/7WamhI59d0jrGu73m1hbF87qa6LqnPtHtYC/pci3Refa4ZwJ5obkJpfmMad9Mp8eadrzVu/dI3l9LrL0fceyrzZJLXfzWktcZdm9Te1adJnD+O6Tqnce195PuLJZf20NckfcfpO1fcYypN8vPq6hPl7ePGAOwN5uqT0vqbfdMbdKk3764bSa70zWWt39zivtPem65vKX1f/9WUX5uo/jwv0ST7i33juLYxqX258j1OM1++j/g4yTnWreRcSZwnzdk0X6pLfepiez5uJfYEsFasqb9TOu4NfVa6bihRqf3Ny/XZ0+1p1zd+3aRzio9NQWhW5zzv1zZem1QmlcY0nWOsy0vS1BdgTzV3obTtjbteP+2NYbWU3l/p9ZmN+uucTPt6xzH1ueLxPH7ttO11Gis5VxTn67pmqS2tMa4/wN5orkJpnzfpUm/mTTeTpptYqf0lbevX69v6rZZx6/e9vqulvp/6cen9Rfl+6qbZX+w363OYVt+9pvNP16DJcs47jksll47ztZvWGLe3KG8f1xdgTzJXvzwfWF0x5MSwlB6n0TV2XFuTaeeqt9Xr+vRp07cfwJ5ur/zl+cDqyoNWfIzHfUofffvFdfNSl+aJj03tXer968fj5lzO2gAsn09KgYm0hbaVCnN95pl0rb79V+ocAPYUa/aT0viG3kdbv77jo66+k8wTrdS6ybg+y937csfDcrSFtpUKc33mmXStvv1X6hwAmNxEoXS1A0+8ISxnjTg2jW+bJ/XJS1f9apvVOgAA82zib9/HEJU+TegTqJo+ecjnqOtqy6V+9T30GRu1rTNu/Xy9fP2mvUT1uerzjzuua2pvWjfpmgsAoMua+fZ9DDx5aavrEgNVXtrqcrGuab1JxP71ufN5u+Tr5f3b6sdpOseorT5J7WndfO38GABg3i37B526glMeipr6xfZY3xWemtrbxnTN1bR+X2nOrnW7NI1Pz8c95up1ffoAAExrlp+UruhP3/cNRKnfuJDVNF+si5rWaeq/ktLaSVyrbY/1tqaxUX1803xRfXyU1hinaT4AgHHmMpS+8IUvHNUsDVR91ENRV/AaF6DSmtOOj/rsu23P9TXy46Z5m/Yzbkxu3PhxJukLAJCb609KVyLkpCAW5xkXyqK0Xlq7z5hcfb/jzqGrPW/L95H37zs+Gndc19ae16fn4+YCAOiypkJpPG7TFp6ielvTvG3H9bakrb4u9hunPk/TmPp+uvpETfvL6/Lx9X5R0/hcah/XDwCgj1mG0qUzTykGoHqpi0FpOWFp2nFt8r3WS5O8LT2P55Nr6pOkvuk61MfG43xsU3t6zEuqi/L1AADWkhUJpfWglEJSrh7ScrH/rANVfb95mUZ9fP04nV+6Dvn5xj7184/HaWyU2tPYVFJd3hcAYK1ZkW/f58dJW33U1JZCVQpYbWOjadZsM+mYev+m8ZPM2We+LrH/OPX5k0nWSUqPBwBmZ018+z4PF/F5vUwqBpRY4tjVCitpX/n+0ppNus6jq22cOHYlxseSrlsqUf6YngMAzLOpQmkKQ0kKP3mZRpo3PpaU1m/bS77Ppj5N5x/7pBLbm/p0aRpfnyO1RfExHte1je2r9HgAYM80VSjtChRNQSgZ15bmjY9dfZPYJy9tdVF83rbvSQNS2l99v20l9ckfc/W++XGq6xofxX71tnicxgMAzLNl/4tOTWGoqS6pt6XQ1NS/bZ6u+ftK67ZZ7vyz0nX9opW4VgDA3mmWf6d02aEUAIA905r4QScAAFgpQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBxQikAAMUJpQAAFCeUAgBQnFAKAEBv69evD/vtt19V9t1338XHVGL7NIRSAAB6i6Hz5JNPDscee2xVTjjhhLB58+bwmte8Jrz//e8P69ZNFy+FUgAAetu+fXv4yle+UgXSk046KTz3uc8Nv/ZrvxbOO++86nHHjh2jnpMRSgEA6C2G0lguueSScNhhh1Xh9FGPelQ48cQTq0Aa26YhlAIA0GlhYWFJieEzlre85S3Vt/Mf85jHLCuQRkIpAACdYvBsCqY7d+4Mz3jGM6rHeFzvMwmhFACATjGUxh9gqofOGES3bdu27EAaCaUAAHRKgbQu1eVhtKlfH0IpAACdmj4l7VMmIZQCANCpLZRG6XG5hFIAADrdfffdU5VJLJxzzjk7P3jJR8Pt9+4cVS31tc//aTj99NNHRwAAMJlHPvKR4bs33jk6WurQ/RfCr77svPGh9NFHHDR6BgAA01l2KAUAgNWSQqm/UwoAQHFCKQAAxQmlAAAUJ5QCAFCcUAoAQHGLP30PAAAlLP5KqNExAAAUEML/D+ADg4AxK/wDAAAAAElFTkSuQmCC" 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