[Content_Types].xml
_rels/.rels
matlab/document.xml
matlab/output.xml
metadata/coreProperties.xml
metadata/mwcoreProperties.xml
metadata/mwcorePropertiesExtension.xml
metadata/mwcorePropertiesReleaseInfo.xml
Variables and Arrays In this live script, you will learn how to create variables and arrays to manipulate the data in the arrays to plot data in the arrays A variable in MATLAB is an entity that you can store value(s) in. For example, the command a=1 will assign the value 1 to the variable \texttt{a} . Try it. Try typing into the box below and set the value of the variable \texttt{a} to 1. a=1 An array in MATLAB is a variable to stores lots of values in a structured format. Arrays can be generated by using the square brackets []. You can have a row array p=[2 5 8 4 9 10 4 6 5] a column array q=[2;5;8;4;9;10;4;6;5] (note the semicolon ; indicates a new row in MATLAB) or a matrix array r=[2 5 8;4 9 10;4 6 5] Type in the code segmets above and visualise the p, q and r arrays above p=[2 5 8 4 9 10 4 6 5]
q=[2;5;8;4;9;10;4;6;5]
r=[2 5 8;4 9 10;4 6 5] There are “special” arrays that you can ask MATLAB to generate for you. For example, you can create a row array that starts from -1 and ends at 1 with a difference of 0.5 between successive elements by using the command x=-1:0.5:1 Try typing in the command in the box below x=-1:0.5:1 You can generate the same row vector by by using the in built MATLAB function \texttt{linspace()} . To create a row vector of 5 equally spaced elements from -1 to 1 type in x=linspace(-1,1,5) You can use the \texttt{ones()} function in MATLAB to generate a 3×3 matrix of ones ones([3,3]) You can also access each element of an array. For example, p(1),r(3,2) and q(6) will give you values of 2, 6 and 10 respectively. p(1)
r(3,2)
q(6) You can perform mathematical operations on every element of the array. For example, to square every element of $\texttt{x}$ , just type in x.^2 x.^2 Note that the . before the ^ is very important. You can also plot one array with another array f=x.^2 f=x.^2
plot(x,f,’ko-‘)
xlabel(‘x’)
ylabel(‘f(x)=x^2’) Note that the arrays, \texttt{x} and \texttt{f} must be of the same length. The \texttt{xlabel()} and \texttt{ylabel()} commands labels the x and y axis respectively.
manual code ready 0.4 variable a 1 1 1 1 matrix p 1×9 1 9 double 2 5 8 4 9 10 4 6 5
double double [[{“value”:”{\”value\”:\”2\”}”},{“value”:”{\”value\”:\”5\”}”},{“value”:”{\”value\”:\”8\”}”},{“value”:”{\”value\”:\”4\”}”},{“value”:”{\”value\”:\”9\”}”},{“value”:”{\”value\”:\”10\”}”},{“value”:”{\”value\”:\”4\”}”},{“value”:”{\”value\”:\”6\”}”},{“value”:”{\”value\”:\”5\”}”}]] 2 matrix q 9×1 9 1 double 2
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double double [[{“value”:”{\”value\”:\”2\”}”},{“value”:”{\”value\”:\”5\”}”},{“value”:”{\”value\”:\”8\”}”},{“value”:”{\”value\”:\”4\”}”},{“value”:”{\”value\”:\”9\”}”},{“value”:”{\”value\”:\”10\”}”},{“value”:”{\”value\”:\”4\”}”},{“value”:”{\”value\”:\”6\”}”},{“value”:”{\”value\”:\”5\”}”}]] 3 matrix r 3×3 3 3 double 2 5 8
4 9 10
4 6 5
double double [[{“value”:”{\”value\”:\”2\”}”},{“value”:”{\”value\”:\”5\”}”},{“value”:”{\”value\”:\”8\”}”}]] 4 matrix x 1×5 1 5 double -1.0000 -0.5000 0 0.5000 1.0000
double double [[{“value”:”{\”value\”:\”-1.0000\”}”},{“value”:”{\”value\”:\”-0.5000\”}”},{“value”:”{\”value\”:\”0\”}”},{“value”:”{\”value\”:\”0.5000\”}”},{“value”:”{\”value\”:\”1.0000\”}”}]] 5 matrix x 1×5 1 5 double -1.0000 -0.5000 0 0.5000 1.0000
double double [[{“value”:”{\”value\”:\”-1.0000\”}”},{“value”:”{\”value\”:\”-0.5000\”}”},{“value”:”{\”value\”:\”0\”}”},{“value”:”{\”value\”:\”0.5000\”}”},{“value”:”{\”value\”:\”1.0000\”}”}]] 6 matrix ans 3×3 3 3 double 1 1 1
1 1 1
1 1 1
double double [[{“value”:”{\”value\”:\”1\”}”},{“value”:”{\”value\”:\”1\”}”},{“value”:”{\”value\”:\”1\”}”}]] 7 variable ans 2 1 1 8 variable ans 6 1 1 9 variable ans 10 1 1 10 matrix ans 1×5 1 5 double 1.0000 0.2500 0 0.2500 1.0000
double double [[{“value”:”{\”value\”:\”1.0000\”}”},{“value”:”{\”value\”:\”0.2500\”}”},{“value”:”{\”value\”:\”0\”}”},{“value”:”{\”value\”:\”0.2500\”}”},{“value”:”{\”value\”:\”1.0000\”}”}]] 11 matrix f 1×5 1 5 double 1.0000 0.2500 0 0.2500 1.0000
double double [[{“value”:”{\”value\”:\”1.0000\”}”},{“value”:”{\”value\”:\”0.2500\”}”},{“value”:”{\”value\”:\”0\”}”},{“value”:”{\”value\”:\”0.2500\”}”},{“value”:”{\”value\”:\”1.0000\”}”}]] 12 figure 683db1c9-b8a7-4df6-99b0-eea9e90f99b4 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u6rmy3W5544gl2ux3Hx8ccHx9z9epVxnFEp8uA9ArM88z169e5evUqB7/7u7/L0dERB9evX0eSJEmSdDLmeebo6IgrV65w8Lu/+7tcu3aNeZ65fv06Op0GpFfh6OiIeZ65dOkSV65c4ejoiGVZkCRJkiSdjGVZOJimiXmeuXTpEleuXGEcR3R6DUh/6nWvex2v1mazYb/fI0mSJEk6Gdvtlnme0dkyIP2pn/zJn6Qtf/tv/21eqWmaWJaFdV3Rq9cWnYy26GS0RSejLToZbdHN1xadjLboZLRFJ6MtevXWdWVdV8ZxRGfLgHSTTdPEfr9HkiRJknRz7fd7pmlCZ8+AdJPN88zly5eRJEmSJN0867qyLAubzQadPQPSCZimid1uhyRJkiTp5liWhaOjI46OjtDZMyCdgM1mw36/R5IkSZJ0c+z3ezabDTqbBqQTMI4jB8uyIEmSJEl6ddZ1ZV1XxnFEZ9OAdEI2mw37/R5JkiRJ0quz3W6Z5xmdXQPSCZmmiWVZWNcVSZIkSdIrs64ry7IwTRM6uwakEzSOI8uyIEmSJEl6ZZZlYRxHdLYNSCfoypUr3HvvvUiSJEmSXr51Xbl27RqbzQadbQPSCRvHkWVZkCRJkiS9POu6sq4r4ziis21AOmGbzYb9fo8kSZIk6eXZbrfM84zOvgHphE3TxLIsrOuKJEmSJOmlWdeVdV0ZxxGdfQPSa2CeZ7bbLZIkSZKkl2a73TLPMzofBqTXwDRN7HY7JEmSJElf3LquLMvCNE3ofBiQXiPTNLHb7ZAkSZIkvbhlWRjHEZ0fA9JrZJ5nttstkiRJkqQXt9/v2Ww26PwYkF4jR0dHHB0dsSwLkiRJkqTntywLB+M4ovNjQHoNbTYb9vs9kiRJkqTnt91umecZnS8D0mtomiaWZWFdVyRJkiRJf966rqzryjiO6HwZkF5j8zyz3W6RJEmSJP15+/2eaZrQ+TMgvcamaWK32yFJkiRJ+v+t68put2OeZ3T+DEi3wDRN7HY7JEmSJEl/YlkWxnFE59OAdAtsNhv2+z2SJEmSpD+x3+/ZbDbofBqQboFxHDlYlgVJkiRJuuiWZeFgHEd0Pg1It8hms2G/3yNJkiRJF912u2WeZ3R+DUi3yDRNLMvCuq5IkiRJ0kW1rivrujKOIzq/BqRbaJom9vs9kiRJknRRLcvCOI7ofBuQbqF5nrl8+TKSJEmSdBGt68p+v2eeZ3S+DUi32DRN7HY7JEmSJOmiWdeVg6OjI3S+DUi32GazYb/fI0mSJEkXzXa7ZZ5ndP4NSLfYOI4cLMuCJEmSJF0U67qyrivjOKLzb0A6BTabDfv9HkmSJEm6KLbbLfM8o4thQDoFpmlit9shSZIkSRfBuq4sy8I0TehiGJBOiWma2O12SJIkSdJ5tywL4ziii2NAOiXmeWa73SJJkiRJ591+v2ez2aCLY0A6JY6Ojjg6OmJZFiRJkiTpvFqWhYNxHNHFMSCdIpvNhv1+jyRJkiSdV9vtlnme0cUyIJ0i0zSxLAvruiJJkiRJ5826rqzryjiO6GIZkE6ZeZ7ZbrdIkiRJ0nmz3W6Z5xldPAPSKTNNE7vdDkmSJEk6T9Z1ZVkWpmlCF8+AdApN08Rut0OSJEmSzotlWRjHEV1MA9IptNls2O/3SJIkSdJ5sd/v2Ww26GIakE6hcRw5WJYFSZIkSTrrlmXhYBxHdDENSKfUZrNhv98jSZIkSWfddrtlnmd0cQ1Ip9Q0TSzLwrquSJIkSdJZta4r67oyjiO6uAakU2yeZ7bbLZIkSZJ0Vu33e6ZpQhfbgHSKTdPEbrdDkiRJks6idV1ZloXNZoMutgHplJumid1uhyRJkiSdNcuycHR0xNHREbrYBqRTbrPZsN/vkSRJkqSzZr/fs9lskAakU24cRw6WZUGSJEmSzop1XVnXlXEckQakM2Cz2bDf75EkSZKks2K73TLPM9LBgHQGTNPEsiys64okSZIknXbrurIsC9M0IR0MSGfEOI4sy4IkSZIknXbLsjCOI9IzBnTmffazn+Xhhx/mgQce4Nd+7dd49NFHeblu3LjBf/pP/4kHHniAT33qU3zuc5/jtLly5Qr33nsvkiRJknSarevKtWvX2Gw2SM8Y0Jn2wAMPcHx8zHd/93fzgQ98gO/5nu9hHEc+/vGP81I8/vjjfPjDH+Yd73gH733ve/nABz7Ae97zHt71rnexLAunzTRN7HY7JEmSJOm0WteVdV0ZxxHpGQM6sz71qU/xQz/0Q/zRH/0R3/zN38zly5e55557eOKJJ/jwhz/Mgw8+yBfzL//lv+TjH/84b3zjG/nH//gfc/nyZY6Pj7lx4wbve9/7+J//839ymrzzne/k2rVrSJIkSdJptd1umecZ6dkGdGZ97GMf4+mnn+Y973kPH/3oR3n3u9/N/fffz/vf/34OPvaxj/Fifv/3f5/dbsdtt93GbrfjB37gB3j3u9/Nz/zMz/CP/tE/4qmnnuInf/InOU2maWJZFtZ1RZIkSZJOm3VdWdeVcRyRnm1AZ9Ljjz/Oww8/zMF9993Hs33Xd30Xt99+O7/927/NZz7zGV7II488wpNPPsnXfu3X8jf+xt/g2d73vvdx8B/+w3/g6aef5jSZ55ntdoskSZIknTbb7ZZ5npGea0Bn0u/93u/x+OOP8+Vf/uXcfffdPNvtt9/OV3/1V3Nw/fp1Xsgf/MEfcPCX/tJf4rm+4iu+goMnnniCRx99lNNkmiZ2ux2SJEmSdJqs68qyLEzThPRcAzqTbty4wcFdd93F87nzzjs5ePTRR3khX/mVX8nBf//v/53n+q3f+i2e8ZnPfIaXIglJSEISkpCEJNxs0zSx2+2QJEmSpNNiWRbGceRmS0ISkpCEJCQhCUnQ2TCgM+mpp57i4Eu/9Et5Pm94wxs4ePzxx3khX/M1X8Mb3/hGfuu3fosrV67wjMcee4wf/dEf5Rk3btzgpWhLW9rSlra0pS032zzPbLdbJEmSJOm02O/3bDYbbra2tKUtbWlLW9rSFp0NAzqTnnrqKV7Mk08+ycFtt93GC3nLW97C937v93LwwQ9+kO/8zu/k/e9/P//wH/5DPvWpT/HmN7+Zgze/+c2cNkdHRxwdHbEsC5IkSZJ0qy3LwsE4jkjPZ0Bn0utf/3oOHnvsMZ7P5z//eQ5e//rX82Le9773cf/993PnnXfyG7/xGzz44IO88Y1v5CMf+Qh/5a/8FQ7e+ta3chptNhv2+z2SJEmSdKttt1vmeUZ6IQM6k+68804OPv3pT/P000/zXNevX+fgrrvu4ou55557+MQnPsF//s//mV/91V/loYce4l3vehef/vSnOXjrW9/KaTRNE8uysK4rkiRJknSrrOvKuq6M44j0QgZ0Jt19993ccccdPPbYY/zmb/4mz3bjxg1+53d+h9tuu423ve1tvJDPfvaz/LN/9s/4kR/5EZ588kne8pa3cNddd3Hw67/+6/yf//N/ePvb384dd9zBaTXPM9vtFkmSJEm6Vfb7PdM0Ib2YAZ1Jr3vd6/jGb/xGDj70oQ/x1FNP8YwPfvCDPPnkk7z97W/nrW99KwePPPIIP/uzP8vP/uzP8ow3velNPPzww/zCL/wCv/RLv8QzHnvsMT760Y9y8O3f/u2cZtM0sdvtkCRJkqRbYV1Xdrsd8zwjvZgBnVn/5J/8E97whjfw8MMP8453vIN/+k//Kd/0Td/Egw8+yG233cb73/9+nvHJT36SD33oQ3zoQx/i2aZp4uDy5cvcc889/PAP/zDf9m3fxn/7b/+Nv/7X/zrf9m3fxmk3TRO73Q5JkiRJeq0ty8I4jkhfzIDOrEuXLrHb7fiqr/oq/tf/+l/823/7b/n0pz/N3XffzU//9E/zd//u3+W5Xve61/Fs733ve/kX/+Jf8OY3v5n/+l//K7/4i7/IjRs3OD4+5ud+7uf4C3/hL3DabTYb9vs9kiRJkvRa2+/3bDYbpC9mQGfa3/pbf4tf+ZVfoS1tacvVq1f5+3//7/Ns733ve2nLI488wnO9973v5dd//ddpS1t+4zd+g5/5mZ/hTW96E2fBOI4cLMuCJEmSJL1WlmXhYBxHpC9mQDoHNpsN+/0eSZIkSXqtbLdb5nlGeikGpHNgmiaWZWFdVyRJkiTppK3ryrqujOOI9FIMSOfENE3s93skSZIk6aTt93umaUJ6qQakc2KeZy5fvowkSZIknaR1XVmWhc1mg/RSDUjnyDRN7HY7JEmSJOmkrOvKwdHREdJLNSCdI5vNhv1+jyRJkiSdlO12yzzPSC/HgHSOjOPIwbIsSJIkSdLNtq4r67oyjiPSyzEgnTObzYb9fo8kSZIk3Wzb7ZZ5npFergHpnJmmid1uhyRJkiTdTOu6siwL0zQhvVwD0jk0TRO73Q5JkiRJulmWZWEcR6RXYkA6h65cucK9996LJEmSJN0M67py7do1NpsN0isxIJ1T4ziyLAuSJEmS9Gqt68q6rozjiPRKDEjn1GazYb/fI0mSJEmv1na7ZZ5npFdqQDqnpmliWRbWdUWSJEmSXql1XVnXlXEckV6pAekcm+eZ7XaLJEmSJL1S2+2WeZ6RXo0B6RybpondbockSZIkvRLrurIsC9M0Ib0aA9I5N00Tu90OSZIkSXq5lmVhHEekV2tAOuc2mw37/R5JkiRJern2+z2bzQbp1RqQzrlxHDlYlgVJkiRJeqmWZeFgHEekV2tAugA2mw37/R5JkiRJeqm22y3zPCPdDAPSBTBNE8uysK4rkiRJkvTFrOvKuq6M44h0MwxIF8Q8z2y3WyRJkiTpi9nv90zThHSzDEgXxDRN7HY7JEmSJOnFrOvKbrdjnmekm2VAukCmaWK32yFJkiRJL2RZFsZxRLqZBqQLZLPZsN/vkSRJkqQXst/v2Ww2SDfTgHSBjOPIwbIsSJIkSdJzLcvCwTiOSDfTgHTBbDYb9vs9kiRJkvRc+/2ezWaDdLMNSBfMNE0sy8K6rkiSJEnSM9Z1ZVkWpmlCutkGpAtoHEeWZUGSJEmSnrEsC+M4Ip2EAekCunLlCvfeey+SJEmSdLCuK9euXWOz2SCdhAHpgpqmid1uhyRJkiSt68q6rozjiHQSBqQL6p3vfCfXrl1DkiRJkrbbLfM8I52UAemCmqaJZVlY1xVJkiRJF9e6rqzryjiOSCdlQLrA5nlmu90iSZIk6eLabrfM84x0kgakC2yaJna7HZIkSZIupnVdWZaFaZqQTtKAdMFN08Rut0OSJEnSxbMsC+M4Ip20AemCm+eZ7XaLJEmSpItnv9+z2WyQTtqAdMEdHR1xdHTEsixIkiRJujiWZeFgHEekkzYgic1mw36/R5IkSdLFsd1umecZ6bUwIIlpmliWhXVdkSRJknT+revKuq6M44j0WhiQ9H/N88x2u0WSJEnS+bff75mmCem1MiDp/5qmid1uhyRJkqTzbV1Xdrsd8zwjvVYGJP2ZaZrY7XZIkiRJOr+WZWEcR6TX0oCkP7PZbNjv90iSJEk6v/b7PZvNBum1NCDpz4zjyMGyLEiSJEk6f5Zl4WAcR6TX0oCkP2ez2bDf75EkSZJ0/my3W+Z5RnqtDUj6c6ZpYlkW1nVFkiRJ0vmxrivrujKOI9JrbUDS/2OaJvb7PZIkSZLOj/1+zzRNSLfCgKT/xzzPXL58GUmSJEnnw7quLMvCZrNBuhUGJD2vaZrY7XZIkiRJOvvWdeXg6OgI6VYYkPS8NpsN+/0eSZIkSWffdrtlnmekW2VA0vMax5GDZVmQJEmSdHat68q6rozjiHSrDOjM++xnP8vDDz/MAw88wK/92q/x6KOP8nL94R/+IZ/4xCf4xV/8RT7xiU9w48YNBJvNhv1+jyRJkqSza7vdMs8z0q00oDPtgQce4Pj4mO/+7u/mAx/4AN/zPd/DOI58/OMf56X6uZ/7OY6Pj7nvvvv44R/+Ye677z7GceRf/at/xUU3TRPLsrCuK5IkSZLOnnVdWZaFaZqQbqUBnToo624AACAASURBVFmf+tSn+KEf+iH+6I/+iG/+5m/m8uXL3HPPPTzxxBN8+MMf5sEHH+SL+Y//8T/yoz/6o3z+85/nnnvu4f777+dbvuVbuO222/jpn/5p/s2/+TdcdOM4siwLkiRJks6eZVkYxxHpVhvQmfWxj32Mp59+mve85z189KMf5d3vfjf3338/73//+zn42Mc+xhfzK7/yKxx87/d+L/fffz/33HMPH/nIR/jO7/xODn75l3+Zi+7KlSvce++9SJIkSTpb1nXl2rVrbDYbpFttQGfS448/zsMPP8zBfffdx7N913d9F7fffju//du/zWc+8xlezKOPPsrB3/ybf5Nn+3t/7+9x8L//9/9GMI4jy7IgSZIk6exY15V1XRnHEelWG9CZ9Hu/93s8/vjjfPmXfzl33303z3b77bfz1V/91Rxcv36dF/N1X/d1HFy9epVn+/f//t9z8A3f8A0INpsN+/0eSZIkSWfHdrtlnmek02BAZ9KNGzc4uOuuu3g+d955JwePPvooL+aee+7ha77ma/ilX/olpmnix3/8x/mO7/gOHnzwQf7aX/trbDYbXqokJCEJSUhCEpJw1k3TxLIsrOuKJEmSpNNvXVfWdWUcR866JCQhCUlIQhKSkASdDQM6k5566ikOvvRLv5Tn84Y3vIGDxx9/nBfzlre8hXe9610cfPKTn+Rf/+t/zSOPPMLBP/gH/4Cv+Iqv4KVqS1va0pa2tKUt58E8z2y3WyRJkiSdftvtlnmeOQ/a0pa2tKUtbWlLW3Q2DOhMeuqpp3gxTz75JAe33XYbL+ZHfuRH+OhHP8ob3/hG7rvvPj7ykY/wfd/3fXzZl30ZP/VTP8X73vc+9CemaWK32yFJkiTpdFvXlWVZmKYJ6bQY0Jn0+te/noPHHnuM5/P5z3+eg9e//vW8kC984Qs89NBDDMPAxz/+cf75P//nfMu3fAvf//3fz8///M9z++23sywLf/AHf4D+xDRN7HY7JEmSJJ1ey7IwjiPSaTKgM+nOO+/k4NOf/jRPP/00z3X9+nUO7rrrLl7If/kv/4XPfe5zXLp0ib/zd/4Oz/ZVX/VVfN3XfR0Hn/zkJ9GfmOeZ7XaLJEmSpNNrv9+z2WyQTpMBnUl33303d9xxB4899hi/+Zu/ybPduHGD3/md3+G2227jbW97Gy/kjjvu4OALX/gCz+eP//iPObjjjjvQnzg6OuLo6IhlWZAkSZJ0+izLwsE4jkinyYDOpNe97nV84zd+Iwcf+tCHeOqpp3jGBz/4QZ588kne/va389a3vpWDRx75/9iDH2iv68L+46/7uQoIxWHEH7utX19K+Lqc7sgWreafN2p/Dl52GpaKop83fza7pY2IuYbD9/1oU5kR89SBI1P4vLMybZSdC9rSLm/WyETLtoT26Vq+jXQz4CwcIl7g3t/5ng4nQv5c4P77fr/Px2OLVq1apVWrVumAiRMnasiQIXr++ed1//33q6urSwesX79emzZtUpIkOvvss4XfStNU3nsBAAAAGHyyLJNzTsBgkwhVa/78+Ro6dKg2bdqkCy64QAsWLNAll1yitrY2NTQ0aOHChTrg8ccf15IlS7RkyRIdMGTIEP3t3/6tKlpbW3XBBRdo8eLFamlpUUtLi7q7u3Xdddfp9NNPF37LWqsQgmKMAgAAADB4xBgVY5QxRsBgkwhVa8KECcrzXBMnTtS2bdu0bt06bd26VU1NTVq+fLmmTJmiQzU2Nupgs2bN0m233aa3vOUt2rZtmx588EG1t7dr9OjRWrx4sW644Qbh9ZxzyrJMAAAAAAYP772stQIGo0SoapMnT9batWtVFIWKolBRFFq/fr0uuugiHWzu3LkqikJbtmzRoS677DK1t7erKAoVRaGiKPS9731Ps2bNUmNjo/B61lrleS4AAAAAg0OMUXmeyzknYDBKBOCEWGuV57kAAAAADLwQgowxAgarRABOSJqm8t4LAAAAwMDz3itNUwGDVSIAJ8QYo4oQggAAAAAMnBCCKowxAgarRABOWJqm8t4LAAAAwMDJskzOOQGDWSIAJ8xaqxCCYowCAAAA0P9ijIoxyhgjYDBLBOCkWGvlvRcAAACA/hdCkDFGwGCXCMBJcc6ptbVVAAAAAPpXjFHeeznnBAx2iQCcNGut8jwXAAAAgP4TY1RFqVQSMNglAnDS0jSV914AAAAA+k+WZXLOCagGiQCcNGOMYoyKMQoAAABA34sxKsYoY4yAapAIQK9wzinLMgEAAADoe1mWyTknoFokAtArrLXK81wAAAAA+laMUSEEWWsFVItEAHqNtVZ5ngsAAABA3wkhyBgjoJokAtBrnHPKskwAAAAA+o73XmmaCqgmiQD0mlKppFKppBCCAAAAAPS+EIIqjDECqkkiAL0qTVN57wUAAACg92VZJuecgGqTCECvstYqhKAYowAAAAD0nhijYowyxgioNokA9DrnnLIsEwAAAIDek2WZnHMCqlEiAL3OWqs8zwUAAACgd8QYFUKQtVZANUoEoE9Ya5XnuQAAAACcvBCCjDECqlUiAH0iTVN57wUAAADg5HnvlaapgGqVCECfMMaoIoQgAAAAACcuhKAKY4yAapUIQJ9J01TeewEAAAA4cVmWyTknoJolAtBnrLUKISjGKAAAAADHL8aoGKOMMQKqWSIAfcpaK++9AAAAABw/772stQKqXSIAfco5p9bWVgEAAAA4PjFGhRCUpqmAapcIQJ+z1irPcwEAAADouRCCSqWSSqWSgGqXCECfS9NU3nsBAAAA6DnvvdI0FVALEgHoc8YYVYQQBAAAAODYYoyKMcoYI6AWJALQL9I0lfdeAAAAAI4tyzI55wTUikQA+oW1ViEExRgFAAAA4MhijAohyForoFYkAtBvjDEKIQgAAADAkYUQZIwRUEsSAeg3q1ev1uzZswUAAADg8GKM2rBhg9I0FVBLEgHoV8YYhRAEAAAA4PVijIoxyhgjoJYkAtCv0jSV914AAAAAXi/LMjnnBNSaRAD6lbVWIQTFGAUAAADgt2KMijHKGCOg1iQC0O+cc8qyTAAAAAB+K8syOecE1KJEAPqdtVZ5ngsAAADAb8QYFUKQtVZALUoEYEBYa5XnuQAAAABIIQQZYwTUqkQABoRzTlmWCQAAAIDkvVeapgJqVSIAA6JUKqlUKimEIAAAAKCehRBUYYwRUKsSARgwaZrKey8AAACgnmVZJuecgFqWCMCAsdYqhKAYowAAAIB6FGNUjFHGGAG1LBGAAeWcU5ZlAgAAAOqR917WWgG1LhGAAWWtVZ7nAgAAAOpNjFF5nss5J6DWJQIw4Ky1yvNcAAAAQD0JIcgYI6AeJAIw4NI0lfdeAAAAQD3x3itNUwH1IBGAAWeMUUUIQQAAAEA9CCGowhgjoB4kAjAopGkq770AAACAepBlmZxzAupFIgCDgrVWIQTFGAUAAADUshijYowyxgioF4kADBrWWnnvBQAAANQy772stQLqSSIAg4ZzTq2trQIAAABqVYxRIQSlaSqgniQCMKhYa5XnuQAAAIBaFGNURalUElBPEqHqvfzyy9q0aZPWrFmjjRs3aseOHeqJrq4udXR0qKOjQx0dHero6FBHR4c6OjrU0dGhjo4OdXR06JVXXhH6T5qm8t4LAAAAqEVZlsk5J6DeJEJVW7NmjaZOnaprrrlGixYt0pw5c2SM0cqVK3UsL730kpqbm9Xc3Kzm5mY1NzerublZzc3Nam5uVnNzs5qbm/Xkk08K/ccYo4oQggAAAIBaEmNUjFHGGAH1JhGq1lNPPaWbbrpJu3bt0rRp09Ta2qorrrhCe/fu1dKlS9XW1qajOe200zRt2jRNmzZN06ZN07Rp0zRt2jRNmzZNH/jAB1TR0NCgsWPHCv0rTVN57wUAAADUkizL5JwTUI8SoWqtWLFC3d3duvrqq7Vs2TLNnDlTt9xyixYuXKiKFStW6GhGjRqlZcuWadmyZVq2bJmWLVumZcuWadmyZfr93/99VbS0tOiss84S+pe1VnmeCwAAAKgVMUaFEGStFVCPEqEqdXZ2atOmTaqYN2+eDjZr1iwNGzZMP/vZz/Tiiy/qeLW1tenee+/V1KlT9YlPfEIYGNZa5XkuAAAAoBaEEGSMEVCvEqEqvfDCC+rs7NTYsWPV1NSkgw0bNkxnnnmmKp577jkdj23btunmm2/WiBEjdNttt6mhoUEYGKtXr9bs2bMFAAAAVLsYozZs2KA0TQXUq0SoStu3b1fF+PHjdTjjxo1TxY4dO3Q8li5dqt27d2vu3LkaPXq0jke5XFa5XFa5XFa5XFa5XFa5XFa5XBZOjDFGIQQBAAAA1SzGqBijjDHC8SuXyyqXyyqXyyqXyyqXyyqXyyqXyyqXy0J1SISq1NXVpYpTTz1VhzN06FBVdHZ2qqd+/OMf66GHHtKb3vQmzZ49W8erKAoVRaGiKFQUhYqiUFEUKopCODFpmsp7LwAAAKCaZVkm55xwYoqiUFEUKopCRVGoKAoVRaGiKFQUhVAdEqEqdXV16Wj279+vioaGBvXUP//zP6u7u1uzZs3S8OHDhYFnrVUIQTFGAQAAANUoxqgYo4wxAupZIlSlIUOGqGL37t06nD179qhiyJAh6omXX35Z69evV8Wll14qDB7OOWVZJgAAAKAaZVkm55yAepcIVWncuHGq2Lp1q7q7u3Wo5557ThXjx49XT6xbt06dnZ06++yz9ba3vU0YPKy1yvNcAAAAQLWJMSqEIGutgHqXCFWpqalJI0aM0O7du7V582YdbPv27frFL36hhoYGvf3tb1dPPPbYY6r44Ac/KAw+1lrleS4AAACgmoQQZIwRACkRqlJjY6POP/98VSxZskRdXV064I477tD+/ft1zjnnaMyYMarYsmWLVq1apVWrVulwfvrTn6rirLPOEgafNE3lvRcAAABQTbz3StNUAKREqFrz58/X0KFDtWnTJl1wwQVasGCBLrnkErW1tamhoUELFy7UAY8//riWLFmiJUuW6FAvv/yyfvWrX6niHe94hzD4GGNUEUIQAAAAUA1CCKowxgiAlAhVa8KECcrzXBMnTtS2bdu0bt06bd26VU1NTVq+fLmmTJmiQzU2NupQMUZVjBw5UuPGjRMGpzRN5b0XAAAAUA2yLJNzTgB+IxGq2uTJk7V27VoVRaGiKFQUhdavX6+LLrpIB5s7d66KotCWLVt0qHPOOUdFUejJJ58UBi9rrUIIijEKAAAAGMxijIoxyhgjAL+RCEDVcM4pyzIBAAAAg5n3XtZaAfitRACqhrVWeZ4LAAAAGKxijMrzXM45AfitRACqirVWeZ4LAAAAGIxCCDLGCMDvSgSgqqRpKu+9AAAAgMHIe680TQXgdyUCUFWMMaoIIQgAAAAYTEIIqjDGCMDvSgSg6qRpKu+9AAAAgMHEe680TQXg9RIBqDrWWoUQFGMUAAAAMBjEGBVCkLVWAF4vEYCqZIxRCEEAAADAYBBCkDFGAA4vEYCqtHr1as2ePVsAAADAQIsxasOGDUrTVAAOLxGAqmWtVZ7nAgAAAAZSjFExRhljBODwEgGoWhdeeKE2bNggAAAAYCBlWSbnnAAcWSIAVctaqxCCYowCAAAABkKMUTFGGWME4MgSAahqzjllWSYAAABgIGRZJuecABxdIgBVzVqrPM8FAAAA9LcYo0IIstYKwNElAlD1rLXK81wAAABAfwohyBgjAMeWCEDVc84pyzIBAAAA/cl7rzRNBeDYEgGoeqVSSaVSSSEEAQAAAP0hhKAKY4wAHFsiADUhTVN57wUAAAD0hyzL5JwTgJ5JBKAmWGsVQlCMUQAAAEBfijEqxihjjAD0TCIANcM5pyzLBAAAAPQl772stQLQc4kA1AxrrfI8FwAAANBXYozK81zOOQHouUQAaoq1VnmeCwAAAOgLIQQZYwTg+CQCUFPSNJX3XgAAAEBf8N4rTVMBOD6JANQUY4wqQggCAAAAelMIQRXGGAE4PokA1Jw0TeW9FwAAANCbsiyTc04Ajl8iADXHWqsQgmKMAgAAAHpDjFExRhljBOD4JQJQk6y18t4LAAAA6A3ee1lrBeDEJAJQk5xzam1tFQAAAHCyYowKIShNUwE4MYkA1CxrrfI8FwAAAHAyYoyqKJVKAnBiEgGoWWmaynsvAAAA4GRkWSbnnACcuEQAapYxRhUhBAEAAAAnIsaoGKOMMQJw4hIBqGlpmsp7LwAAAOBEZFkm55wAnJxEAGqatVYhBMUYBQAAAByPGKNCCLLWCsDJSQSg5hljFEIQAAAAcDxCCDLGCMDJSwSg5q1evVqzZ88WAAAA0FMxRm3YsEFpmgrAyUsEoC4YYxRCEAAAANATMUbFGGWMEYCTlwhAXUjTVN57AQAAAD2RZZmccwLQOxIBqAvWWoUQFGMUAAAAcDQxRsUYZYwRgN6RCEDdcM4pyzIBAAAAR5NlmZxzAtB7EgGoG9Za5XkuAAAA4EhijAohyForAL0nEYC6Yq1VnucCAAAADieEIGOMAPSuRADqinNOWZYJAAAAOBzvvdI0FYDelQhAXSmVSiqVSgohCAAAADhYCEEVxhgB6F2JANSdNE3lvRcAAABwsCzL5JwTgN6XCEDdsdYqhKAYowAAAICKGKNijDLGCEDvSwSgLjnnlGWZAAAAgArvvay1AtA3EgGoS9Za5XkuAAAAIMaoPM/lnBOAvpEIQN2y1irPcwEAAKC+hRBkjBGAvpMIQN1K01TeewEAAKC+ee+VpqkA9J1EAOqWMUYVIQQBAACgPoUQVGGMEYC+kwhAXUvTVN57AQAAoD5lWSbnnAD0rUQA6pq1ViEExRgFAACA+hJjVIxRxhgB6FuJUPVefvllbdq0SWvWrNHGjRu1Y8cOnYidO3fq0UcfVVtbm4qiEOqHtVbeewEAAKC+hBBkjBGAvpcIVW3NmjWaOnWqrrnmGi1atEhz5syRMUYrV65UT/3617/WVVddpXe/+926/vrrtXDhQv35n/+5rrvuOr366qtC7XPOqbW1VQAAAKgfMUZ57+WcE4C+lwhV66mnntJNN92kXbt2adq0aWptbdUVV1yhvXv3aunSpWpra9OxvPLKK5ozZ45+8IMf6J3vfKf++q//Wtdcc41GjRqlEII++9nPCvXBWqs8zwUAAID6EGNURalUEoC+lwhVa8WKFeru7tbVV1+tZcuWaebMmbrlllu0cOFCVaxYsULH8tWvflWbN2/Wn/zJn+hrX/uaPvaxj+nv//7vdeedd6pi3bp16u7uFmpfmqby3gsAAAD1IcsyOecEoH8kQlXq7OzUpk2bVDFv3jwdbNasWRo2bJh+9rOf6cUXX9TRrF27VhVZlqmxsVEHXHDBBWptbdXHPvYxdXV1CbXPGKMYo2KMAgAAQG2LMSrGKGOMAPSPRKhKL7zwgjo7OzV27Fg1NTXpYMOGDdOZZ56piueee05H8qtf/UpbtmzRW9/6Vp1xxhnatWuXvv/97+u73/2utm/frpkzZ+raa69VY2OjUB+cc8qyTAAAAKhtWZbJOScA/ScRqtL27dtVMX78eB3OuHHjVLFjxw4dyUsvvaSKSZMmacmSJXrXu96lNE01b948/dmf/ZluvPFGvfLKK+qpcrmscrmscrmscrmscrmscrmscrksVAdrrfI8FwAAAGpXjFEhBFlrhepQLpdVLpdVLpdVLpdVLpdVLpdVLpdVLpeF6pAIVamrq0sVp556qg5n6NChqujs7NSR7NixQxUhBK1atUp/+qd/qk9+8pO69tprNXz4cH3zm9/U4sWL1VNFUagoChVFoaIoVBSFiqJQURRC9bDWKs9zAQAAoDaFEGSMEapHURQqikJFUagoChVFoaIoVBSFiqIQqkMiVKWuri4dzf79+1XR0NCgI9m9e7cq9u/fr5kzZ2r16tX66Ec/qptuuklf+tKX1NjYqHXr1qmjo0OoH845ZVkmAAAA1CbvvdI0FYD+lQhVaciQIarYvXu3DmfPnj2qGDJkiI5k5MiROuATn/iEDnbWWWfpvPPOU8Uzzzwj1I9SqaRSqaQQggAAAFBbQgiqMMYIQP9KhKo0btw4VWzdulXd3d061HPPPaeK8ePH60h+7/d+TxWnnXaaRo8erUM1NTWpYtu2bUJ9SdNU3nsBAACgtmRZJuecAPS/RKhKTU1NGjFihHbv3q3NmzfrYNu3b9cvfvELNTQ06O1vf7uO5Mwzz9TIkSP16quv6r//+791qGeffVYVb3nLW4T6Yq1VCEExRgEAAKA2xBgVY5QxRgD6XyJUpcbGRp1//vmqWLJkibq6unTAHXfcof379+ucc87RmDFjVLFlyxatWrVKq1at0gGNjY2aOnWqKu644w7t27dPB3znO9/Rk08+qeHDh+vd7363UH+cc8qyTAAAAKgNWZbJOScAAyMRqtb8+fM1dOhQbdq0SRdccIEWLFigSy65RG1tbWpoaNDChQt1wOOPP64lS5ZoyZIlOtinPvUpNTU16Vvf+pY+9KEP6dZbb9X111+v66+/XhV/9Vd/pTFjxgj1x1qrPM8FAACA6hdjVAhB1loBGBiJULUmTJigPM81ceJEbdu2TevWrdPWrVvV1NSk5cuXa8qUKTpUY2OjDjZ+/Hjdc889uvDCC/Xiiy/qS1/6kh599FG9+c1v1m233aaWlhahfllrlee5AAAAUN1CCDLGCMDASYSqNnnyZK1du1ZFUagoChVFofXr1+uiiy7SwebOnauiKLRlyxYd6h3veIdWrlypH/7whyqKQkVRqL29XZdddplQ39I0lfdeAAAAqG7ee6VpKgADJxEAHIExRhUhBAEAAKA6hRBUYYwRgIGTCACOIk1Tee8FAACA6pRlmZxzAjCwEgHAUVhrFUJQjFEAAACoLjFGxRhljBGAgZUIAI7BWivvvQAAAFBdvPey1grAwEsEAMfgnFNra6sAAABQPWKMCiEoTVMBGHiJAKAHrLXK81wAAACoDiEElUollUolARh4iQCgB9I0lfdeAAAAqA7ee6VpKgCDQyIA6AFjjCpCCAIAAMDgFmNUjFHGGAEYHBIBQA+laSrvvQAAADC4ZVkm55wADB6JAKCHrLUKISjGKAAAAAxOMUaFEGStFYDBIxEAHAdjjEIIAgAAwOAUQpAxRgAGl0QAcBxWr16t2bNnCwAAAINPjFEbNmxQmqYCMLgkAoDjZIxRCEEAAAAYXGKMijHKGCMAg0siADhOaZrKey8AAAAMLlmWyTknAINPIgA4TtZahRAUYxQAAAAGhxijYowyxgjA4JMIAE6Ac05ZlgkAAACDQ5Zlcs4JwOCUCABOgLVWeZ4LAAAAAy/GqBCCrLUCMDglAoATZK1VnucCAADAwAohyBgjAINXIgA4Qc45ZVkmAAAADCzvvdI0FYDBKxEAnKBSqaRSqaQQggAAADAwQgiqMMYIwOCVCABOQpqm8t4LAAAAAyPLMjnnBGBwSwQAJ8FaqxCCYowCAABA/4oxKsYoY4wADG6JAOAkOeeUZZkAAADQv7z3stYKwOCXCABOkrVWeZ4LAAAA/SfGqDzP5ZwTgMEvEQD0Amut8jwXAAAA+kcIQcYYAagOiQCgF6RpKu+9AAAA0D+890rTVACqQyIA6AXGGFWEEAQAAIC+FUJQhTFGAKpDIgDoJWmaynsvAAAA9K0sy+ScE4DqkQjH5dVXX9Wdd96pGTNm6IMf/KA+9alPqaOjQ4f613/9V1155ZX63//9XwH1wlqrEIJijAIAAEDfiDEqxihjjABUj0Tose7ubs2ZM0f33HOPfvKTn+iFF17Q2rVr9Rd/8RfauHGjDrZt2zY9/fTT2rt3r4B6Yq2V914AAADoGyEEGWMEoLokQo+FEPTDH/5QF154oZ544gn96Ec/0l133aWhQ4fqE5/4hF588UUB9c45p9bWVgEAAKD3xRjlvZdzTgCqSyL02DPPPKOKW2+9VSNHjlRjY6M++MEP6p/+6Z/0yiuvyDknAJK1VnmeCwAAAL0rxqiKUqkkANUlEXps3759qhgxYoQOdv755+uqq67Sv/3bv+lb3/qWgHqXpqm89wIAAEDvyrJMzjkBqD6J0GNnnnmmKvI816EWLlyopqYmOef085//XEA9M8aoIoQgAAAA9I4Yo2KMMsYIQPVJhB6bOnWqzjjjDH3+85/XlVdeqbvuukv79+9XxfDhw7V06VLt2bNHM2fO1EMPPSSgnqVpKu+9AAAA0DuyLJNzTgCqUyL02LBhw7RixQqdf/75evrpp7V8+XJ1dnbqgMmTJ2vlypV64xvfqB//+McC6pm1VnmeCwAAACcvxqgQgqy1AlCdEuG4/L//9/90zz33aOPGjXrwwQc1dOhQHezd7363Hn74Ya1cuVI33HCD3vjGN6onNm/erF27dgmoJdZa5XkuAAAAnJwQgowxAlC9EuGEjBkzRn/0R3+kJEl0qCFDhujCCy/UyJEj9dBDD+lourq6tHLlSl1++eXauXOngFqyevVqzZ49WwAAADg53nulaSoA1SsR+szOnTvV2tqq+fPna9euXTrUSy+9JGutli5dqn379gmoRcYYhRAEAACAExNCUIUxRgCqVyL0mVKppCRJ9Mgjj2jGjBnavHmzDnj00Uc1ffp0PfHEE6qYMWOGxo4dK6DWpGkq770AAABwYrIsk3NOAKpbIvSZ6dOny3uv008/Xc8//7yuvPJK5XmuxYsX6/rrr9fOnTs1duxY3X333br99ts1ZMgQAbXGWqsQgmKMAgAAwPGJMSrGKGOMAFS3ROhTU6ZMUVtbmz7wgQ+os7NTt99+ux588EFVTJ8+XQ8//LCMMQJqmXNOWZYJAAAAxyfLMjnnBKD6JUKfGzlypGbPnq1hw4bpgFGjRmnevHkaOXKkgFpnrVWe5wIAAEDPxRgVQpC1VgCqXyL0qb1792rp0qW66qqrtGfPHo0e0fa/jAAAIABJREFUPVpjxozRr3/9a1122WVavny59u/fL6DWWWuV57kAAADQMyEEGWMEoDYkQp959tlnddlll2nlypXq6urSe9/7XrW1tWndunV63/vep3379umuu+7SRz7yEXV0dAioZWmaynsvAAAA9Iz3XmmaCkBtSIQ+88gjj6goCjU2NmrBggW69957NWbMGI0aNUpf+MIXdOutt2r48OHavHmzZsyYoe3btwuoVcYYVYQQBAAAgKMLIajCGCMAtSER+lRTU5O+/OUv67rrrlOSJDrY5Zdfrq9//es666yz1NnZqddee01ALUvTVN57AQAA4OiyLJNzTgBqRyL0mfPOO0/f/OY3de655+pIJkyYoAcffFAf/ehHNWLECAG1zFqrEIJijAIAAMDhxRgVY5QxRgBqRyL0mXPPPVcjR47UsZxyyin65Cc/qVGjRgmodc45ZVkmAAAAHJ73XtZaAagtidAvHn/8cT3wwAPas2ePKnbs2KEHHnhA//mf/ymgnlhrlee5AAAA8HoxRoUQlKapANSWROgXDzzwgG6++Wa98sorqti6datuvvlmffvb3xZQb6y1yvNcAAAA+F0hBJVKJZVKJQGoLYkAoJ+laSrvvQAAAPC7vPdK01QAak8iAOhnxhhVhBAEAACA34gxKsYoY4wA1J5EqHovv/yyNm3apDVr1mjjxo3asWOHjscLL7ygjo4OdXR0qKOjQx0dHero6FBHR4d27NghoC+kaSrvvQAAAPAbWZbJOScAtSkRqtqaNWs0depUXXPNNVq0aJHmzJkjY4xWrlypnvrLv/xLNTc3q7m5Wc3NzWpublZzc7Oam5t13333CegL1lqFEBRjFAAAQL2LMSqEIGutANSmRKhaTz31lG666Sbt2rVL06ZNU2trq6644grt3btXS5cuVVtbm47ltddeU4xR48ePV5qmStNUaZoqTVOlaapzzz1XQF8xxiiEIAAAgHoXQpAxRgBqVyJUrRUrVqi7u1tXX321li1bppkzZ+qWW27RwoULVbFixQody7PPPqv9+/frvPPO06JFi7Ro0SItWrRIixYt0qJFi3ThhRcK6CurV6/W7NmzBQAAUM9ijNqwYYPSNBWA2pUIVamzs1ObNm1Sxbx583SwWbNmadiwYfrZz36mF198UUfz05/+VBVnnnmmgIFgrVWe5wIAAKhXMUbFGGWMEYDalQhV6YUXXlBnZ6fGjh2rpqYmHWzYsGE688wzVfHcc8/paIqiUMXpp5+uBx54QP/4j/8o773+4z/+Q0B/uPDCC7VhwwYBAADUqyzL5JwTgNqWCFVp+/btqhg/frwOZ9y4carYsWOHjqYoClUsWLBAN998s+69917ddtttuvzyy7Vw4UJ1dnaqp8rlssrlssrlssrlssrlssrlssrlsoAjsdYqhKAYowAAAOpNjFExRhljBBxJuVxWuVxWuVxWuVxWuVxWuVxWuVxWuVwWqkMi9Ithw4bpDW94gxoaGlTR2NioN7zhDRo6dKhORFdXlypOPfVUHc7QoUNV0dnZqaMpikIVf/iHf6jPfvazuu+++9TS0qJTTz1VbW1tWrFihXqqKAoVRaGiKFQUhYqiUFEUKopCwNE455RlmQAAAOpNlmVyzgk4mqIoVBSFiqJQURQqikJFUagoChVFIVSHROgXd9xxh37wgx9o9OjRqjj77LP1gx/8QDfccINORFdXl45m//79qmhoaNCR7N+/X/PmzdPf/d3f6b777tP06dM1ZcoUzZ8/X0uWLFHFPffco/379wvoS9Za5XkuAACAehJjVAhB1loBqH2J0Ge6u7v1k5/8RPfcc48+/vGP64orrtDFF1+s8847T9OnT1eapvqHf/gHPfbYY9q5c6eOx5AhQ1Sxe/duHc6ePXtUMWTIEB1JY2Oj5syZI2utTj31VB3s0ksv1bhx49TZ2akYo4C+Zq1VnucCAACoFyEEGWMEoD4kQq/7v//7P61evVoXX3yxPvShD+nOO+/UY489ph/96Ef65S9/qW3btumnP/2pvv/97+uLX/yiPv7xj+u9732vFixYoKefflo9MW7cOFVs3bpV3d3dOtRzzz2nivHjx+tIurq69Morr6izs1OH86Y3vUkVL730koC+5pxTlmUCAACoF957pWkqAPUhEXrN3r17dc8998gYozvuuEMvvPCCRo4cqXe+8516//vfr9mzZ2vx4sW6/fbbdcMNN2jGjBmaMmWKmpqa1NXVpXXr1unKK6/UvHnz9OKLL+pompqaNGLECO3evVubN2/WwbZv365f/OIXamho0Nvf/nYdyaOPPqrJkyfrb/7mb3SoPXv2KMaoilKpJKCvlUollUolhRAEAABQ60IIqjDGCEB9SIRe8T//8z+69NJLdeedd+q0007T3Llz9dBDD+nJJ5/UN77xDX3+85/Xpz/9ac2aNUszZszQ9ddfr9tvv1333Xef1q9fr40bN2rx4sU655xz9N3vflfTpk3Td7/7XR1JY2Ojzj//fFUsWbJEXV1dOuCOO+7Q/v37dc4552jMmDGq2LJli1atWqVVq1bpgLPPPlsVjz32mJ566ikd0N3draVLl+rVV1/VxIkT1dTUJKA/pGkq770AAABqXZZlcs4JQP1IhF6xbds27dq1SzfddJPa29t144036g/+4A/UU6NHj9asWbP0ta99Tffee69KpZKKotDRzJ8/X0OHDtWmTZt0wQUXaMGCBbrkkkvU1tamhoYGLVy4UAc8/vjjWrJkiZYsWaIDmpqadM0112jfvn269tprdcMNN+i2227Thz/8YX3xi1/UqaeeqltuuUVAf7HWKoSgGKMAAABqVYxRMUYZYwSgfiRCrzjjjDP0ne98R9dee62GDBmi47V582bt2rVLFeedd56+8Y1v6KqrrtLRTJgwQXmea+LEidq2bZvWrVunrVu3qqmpScuXL9eUKVN0qMbGRh3s05/+tBYsWKARI0bo29/+trz3+slPfqJzzz1Xa9as0eTJkwX0J+ecsiwTAABArfLey1orAPUlEXrFaaedptNOO00H++IXv6j7779fR9PV1aWVK1fq8ssv186dO3VAQ0ODhg8frmOZPHmy1q5dq6IoVBSFiqLQ+vXrddFFF+lgc+fOVVEU2rJliw52yimn6LrrrtOTTz6poihUFIW2bNmir371qyqXywL6m7VWeZ4LAACgFsUYlee5nHMCUF8Soc/s3LlTra2tmj9/vnbt2qVDvfTSS7LWaunSpdq3b58A/Ia1VnmeCwAAoNaEEGSMEYD6kwh9plQqKUkSPfLII5oxY4Y2b96sAx599FFNnz5dTzzxhCpmzJihsWPHCoCUpqm89wIAAKg13nulaSoA9ScR+sz06dPlvdfpp5+u559/XldeeaXyPNfixYt1/fXXa+fOnRo7dqzuvvtu3X777RoyZIgASMYYVYQQBAAAUCtCCKowxghA/UmEPjVlyhS1tbXpAx/4gDo7O3X77bfrwQcfVMX06dP18MMPyxgjAL8rTVN57wUAAFArsiyTc04A6lMi9LmRI0dq9uzZGjZsmA4YNWqU5s2bp5EjRwrA61lrFUJQjFEAAADVLsaoGKOMMQJQnxKhT+3du1dLly7VVVddpT179mj06NEaM2aMfv3rX+uyyy7T8uXLtX//fgF4PWutvPcCAACodt57WWsFoH4lQp959tlnddlll2nlypXq6urSe9/7XrW1tWndunV63/vep3379umuu+7SRz7yEXV0dAjA73LOqbW1VQAAANUsxqgQgtI0FYD6lQh95pFHHlFRFGpsbNSCBQt07733asyYMRo1apS+8IUv6NZbb9Xw4cO1efNmzZgxQ9u3bxeA32WtVZ7nAgAAqFYxRlWUSiUBqF+J0Cu6urr02muv6VBNTU368pe/rOuuu05Jkuhgl19+ub7+9a/rrLPOUmdnp1577TUd0N3drVdffVVAvUvTVN57AQAAVKssy+ScE4D6lgi9YsuWLXrf+96nNWvWaP/+/ao477zz9M1vflPnnnuujmTChAl68MEH9dGPflQjRoxQxfe+9z19+MMf1pe//GUB9c4Yo4oQggAAAKpNjFExRhljBKC+JUKvGD16tLq6urRo0SJNmzZNd999t8aPH6+RI0fqWE455RTNmTNHjzzyiK688krNnj1bP//5z/WOd7xDAKQ0TeW9FwAAQLXJskzOOQFAIvSKpqYmPfzww7r88sv1/PPP63Of+5wuuugiXXzxxUrTVDfddJOWL1+utrY2rVu3TitXrpRzTnPnztX73/9+vec971Fra6uefvppXXrppXr44Yc1depUAZCstQohKMYoAACAahFjVAhB1loBQCL0mpEjR+rWW2/V2rVrNXPmTA0bNky//OUv9f3vf1//8i//orvuuksLFy7UggULtHTpUn31q1/Vv//7v+v555/XKaecoo985CNau3atPve5z+nNb36zAPyWMUYhBAEAAFSLEIKMMQKAikTodWeccYZaW1u1ceNG3X333Zo7d67e9a53acKECRo5cqTe+MY36m1ve5v++I//WFdffbWWL1+u733ve/rMZz6jiRMnCsDrrV69WrNnzxYAAEA1iDFqw4YNStNUAFCRCH1mxIgRMsboxhtv1Je+9CV961vf0pNPPqmnnnpK3/72t/WVr3xFN998sy6++GK94Q1vEICjM8YohCAAAIDBLsaoGKOMMQKAikToNXPnztWsWbPU3d2tik2bNunzn/+8nnnmGQE4eWmaynsvAACAwS7LMjnnBAAHJEKv6O7u1uOPP67Nmzerq6tLFU888YS+8IUv6JlnnhGAk2etVQhBMUYBAAAMVjFGxRhljBEAHJAIvaKhoUHnnnuudu/erc985jNqb2/Xf/3Xf6miKAq1t7ervb1d7e3tam9vV3t7u9rb29Xe3q729na1t7drz549AnB0zjllWSYAAIDBKssyOecEAAdLhF5z0UUXqeIrX/mKWlpa9Nhjj6niK1/5ilpaWtTS0qKWlha1tLSopaVFLS0tamlpUUtLi1paWrRjxw4BODprrfI8FwAAwGAUY1QIQdZaAcDBEqHXXH311WppadHkyZM1adIkvelNb1LF+PHjNWnSJE2aNEmTJk3SpEmTNGnSJE2aNEmTJk3SpEmTNGnSJJ1yyikCcGzWWuV5LgAAgMEmhCBjjADgUInQa4YNG6b58+fr/vvvV1tbm2bOnKmKj33sY2pra1NbW5va2trU1tamtrY2tbW1qa2tTW1tbWpra9P48eMF4NjSNJX3XgAAAION915pmgoADpUIfeatb32r3vOe92j8+PEC0HuMMaoIIQgAAGCwCCGowhgjADhUIvSZD33oQ8rzXFOnThWA3pWmqbz3AgAAGCyyLJNzTgBwOIkAoApZaxVCUIxRAAAAAy3GqBijjDECgMNJBABVyjmnLMsEAAAw0Lz3stYKAI4kEQBUKWut8jwXAADAQIoxKs9zOecEAEeSCACqmLVWeZ4LAABgoIQQZIwRABxNIgCoYmmaynsvAACAgeK9V5qmAoCjSQQAVcwYo4oQggAAAPpbCEEVxhgBwNEkAoAql6apvPcCAADob957pWkqADiWRABQ5ay1CiEoxigAAID+EmNUCEHWWgHAsSQCgBpgrZX3XgAAAP0lhCBjjACgJxIBQA1wzqm1tVUAAAD9IcaoDRs2KE1TAUBPJAKAGmGtVZ7nAgAA6GsxRsUYZYwRAPREIgCoERdeeKE2bNggAACAvpZlmZxzAoCeSgQANcJaqxCCYowCAADoKzFGxRhljBEA9FQiAKghzjllWSYAAIC+kmWZnHMCgOORCABqiLVWeZ4LAACgL8QYFUKQtVYAcDwSAUCNsdYqz3MBAAD0thCCjDECgOOVCABqjHNOWZYJAACgt3nvlaapAOB4JQKAGlMqlVQqlRRCEAAAQG8JIajCGCMAOF6JAKAGpWkq770AAAB6S5Zlcs4JAE5EIgCoQdZahRAUYxQAAMDJijEqxihjjADgRCQCgBrlnFOWZQIAADhZ3ntZawUAJyoRANQoa63yPBcAAMDJiDEqz3M55wQAJyoRANQwa63yPBcAAMCJCiHIGCMAOBmJAKCGpWkq770AAABOlPdeaZoKAE5GIgCoYcYYVYQQBAAAcLxCCKowxggATkYiAKhxaZrKey8AAIDjlWWZnHMCgJOVCABqnLVWIQTFGAUAANBTMUbFGGWMEQCcrEQAUAestfLeCwAAoKe897LWCgB6QyIAqAPOObW2tgoAAKAnYowKIShNUwFAb0iEqvfyyy9r06ZNWrNmjTZu3KgdO3boZGzbtk3333+/nnnmGQG1xFqrPM8FAABwLDFGVZRKJQFAb0iEqrZmzRpNnTpV11xzjRYtWqQ5c+bIGKOVK1fqRHR3d+vGG29Ua2urQggCakmapvLeCwAA4FiyLJNzTsD/Zw/+Q/esDvv/v3KlJlntPoyihmUMzm1nLzc2Jxm4laGeI7qCa8fGoM5pe5+rymjLYCopHYZycixtzaizlMx0heW+rvaPyWgoLFppCzsnG1Ua7PzLlItNroOZ7g8jrE5TlzTJ93Pv+3HN0iTmxzt53z+ejwewUiphbj377LPaunWrXn/9dd1+++3atm2b7rjjDh05ckSPPPKI9uzZo3P1ta99TU8//bSARWSt1VTOWQAAAKdTSlEpRdZaAcBKqYS5tXPnTh0/flx33XWXHn30Ud1555166KGHtGXLFk3t3LlT5+Jf/uVf9IUvfEHvfOc7BSyq8XisrusEAABwOjFGhRAEACupEubS4cOHtW/fPk3de++9OtHdd9+tDRs26IUXXtDLL7+ss3HkyBF98pOf1OWXX64tW7YIWFTee+WcVUoRAADAyUopyjnLey8AWEmVMJdeeuklHT58WFdeeaU2bdqkE23YsEHXXnutpoZh0Nn44he/qB/84Ad66KGH9O53v1vAIrPWKucsAACAk+WcZa0VAKy0SphLBw8e1NTGjRt1KldddZWmXn31Vb2dffv2adeuXfq93/s93XbbbTpfdV2rrmvVda26rlXXteq6Vl3XAmbJZDJR0zQCAAA4USlFe/fu1Xg8FjBL6rpWXdeq61p1Xauua9V1rbquVde1MB8qYS4dO3ZMU5dddplOZf369Zo6fPiwzuQ///M/9alPfUpXXnmlPv3pT+tC9H2vvu/V9736vlff9+r7Xn3fC5g11lrlnAUAAPCWUopKKbLWCpglfd+r73v1fa++79X3vfq+V9/36vtemA+VMJeOHTumMzl69Kim1qxZozN56KGH9PLLL+uzn/2s/s//+T8ClsV4PFbXdQIAAHhLjFEhBAHAxVAJc2ndunWaOnTokE7lzTff1NS6det0Ot/61rf093//9/rABz6gzZs364033tAbb7yh//qv/9LUkSNH9MYbb+jHP/6xgEXjvVfOWaUUAQAAlFJUSpG1VgBwMVTCXLrqqqs0deDAAR0/flwnG4ZBUxs3btTp/PM//7OmnnjiCW3evFmbN2/W5s2b9alPfUpTX/7yl7V582b93d/9nYBFFEJQjFEAAAAxRoUQBAAXSyXMpU2bNunyyy/XoUOH9Pzzz+tEBw8e1Isvvqg1a9bo6quv1un82q/9mm677Tbddtttuu2223Tbbbfptttu07XXXqup97znPbrtttv0i7/4iwIWkfdebdsKAAAst1KKcs7y3gsALpZKmEtr167VjTfeqKnt27fr2LFjesvDDz+so0eP6rrrrtMVV1yhqf3792vXrl3atWuX3vKBD3xAO3bs0I4dO7Rjxw7t2LFDO3bs0Mc+9jFN3X777dqxY4duvPFGAYvKe6+2bQUAAJZXzlnWWgHAxVQJc+u+++7T+vXrtW/fPt1000164IEHdOutt2rPnj1as2aNtmzZorc888wz2r59u7Zv3y4APxFCUIxRAABgeXVdp/F4LAC4mCphbo1GI7Vtq2uuuUavvPKKnnzySR04cECbNm3SY489phtuuEEnW7t2rd7O2rVrNbV27VoBi84YI2OMcs4CAADLJ+esKWutAOBiqoS5tnnzZj3xxBPq+15936vve6WUdMstt+hE99xzj/q+1/79+/V2fud3fkd93+vjH/+4gGUwHo/VdZ0AAMDyiTEqhCAAuNgqAcCS894r56xSigAAwPIopaiUImutAOBiqwQAUAhBMUYBAIDl0XWdvPcCgEuhEgBA3nu1bSsAALAcSilq21YhBAHApVAJAPDfvPdq21YAAGDx5ZxlrRUAXCqVAAD/bTweq+s6AQCAxdd1ncbjsQDgUqkEAPhv1lpN5ZwFAAAWV85ZU9ZaAcClUgkA8D/G47G6rhMAAFhcMUaFEAQAl1IlAMD/8N4r56xSigAAwOIppaiUImutAOBSqgQA+F+89+q6TgAAYPHknGWtFQBcapUAAP9LCEHbtm0TAABYLKUUdV2nEIIA4FKrBAD4Kd57tW0rAACwOEopmjLGCAAutUoAgJ8yHo/VdZ0AAMDiiDEqhCAAWA2VAAA/xVqrqZyzAADA/CulqJQia60AYDVUAgCc0ng8Vtd1AgAA8y/GqBCCAGC1VAIAnJL3Xm3bCgAAzLdSinLO8t4LAFZLJQDAaXnv1batAADA/Mo5y1orAFhNlQAApxVCUIxRAABgfnVdp/F4LABYTZUAAKdljJExRjlnAQCA+ZNz1pS1VgCwmioBAM5oPB6r6zoBAID5E2NUCEEAsNoqAQDOyHuvnLNKKQIAAPOjlKJSiqy1AoDVVgkA8LZCCIoxCgAAzI8Yo0IIAoBZUAkA8La892rbVgAAYD6UUpRzlvdeADALKgEAzor3Xm3bCgAAzL6cs6y1AoBZUQkAcFbG47G6rhMAAJh9XddpPB4LAGZFJQDAWbHWairnLAAAMLtyzpqy1goAZkUlAMBZG4/H6rpOAABgdsUYFUIQAMySSgCAs+a9V85ZpRQBAIDZU0pRKUXWWgHALKkEADgnIQTFGAUAAGZP13Xy3gsAZk0lAMA58d6rbVsBAIDZUkpRzlnj8VgAMGsqAQDOmfdebdsKAADMjpyzjDEyxggAZk0lAMA5G4/H6rpOAABgdnRdp/F4LACYRZUAAOfMWqupnLMAAMDqK6WolCJrrQBgFlUCAJyX8XisrusEAABWX4xRIQQBwKyqBAA4L9575ZxVShEAAFg9pRTlnOW9FwDMqkoAgPNmrVXOWQAAYPXknGWtFQDMskoAgPM2mUzUNI0AAMDqKKVo7969Go/HAoBZVgkAcEGstco5CwAAXHqlFJVSZK0VAMyySgCACzIej9V1nQAAwKUXY1QIQQAw6yoBAC6I9145Z5VSBAAALp1SikopstYKAGZdJQDABQshKMYoAABw6cQYFUIQAMyDSgCAC+a9V9u2AgAAl0YpRTlnee8FAPOgEgBgRXjv1batAADAxZdzlrVWADAvKgEAVkQIQTFGAQCAi6/rOo3HYwHAvKgEAFgRxhgZY5RzFgAAuHhyzpqy1goA5kUlAMCKGY/H6rpOAADg4okxKoQgAJgnlQAAK8Z7r5yzSikCAAArr5SiUoqstQKAeVIJALCiQgiKMQoAAKy8ruvkvRcAzJtKAIAV5b1X27YCAAArq5Sitm0VQhAAzJtKAIAV571X27YCAAArJ+csa60AYB5VAgCsuPF4rK7rBAAAVk7XdRqPxwKAeVQJALDirLWayjkLAABcuJyzpqy1AoB5VAkAcFGMx2N1XScAAHDhYowKIQgA5lUlzL3XXntN+/bt0+7du/Xd735Xr776qs7VK6+8or1792r37t165pln9MYbbwjAhfHeK+esUooAAMD5K6WolCJrrQBgXlXCXNu9e7ecc/rwhz+sBx98UB/96EdlrdVXvvIVnY2jR4/qi1/8om6++Wb9yZ/8iR588EF57+Wc0+7duwXgwnjv1XWdAADA+eu6Tt57AcA8q4S59eyzz2rr1q16/fXXdfvtt2vbtm264447dOTIET3yyCPas2eP3s7jjz+unTt3at26dfrYxz6mP//zP9dv/uZv6oc//KE+/elP67nnnhOA8xdC0LZt2wQAAM5PKUU5Z43HYwHAPKuEubVz504dP35cd911lx599FHdeeedeuihh7RlyxZN7dy5U29n586dmvryl7+s+++/X03T6Ktf/aquv/56HT16VN/5zncE4MJ479W2rQAAwLkrpWjKGCMAmGeVMJcOHz6sffv2aeree+/Vie6++25t2LBBL7zwgl5++WWdziuvvKJXXnlFo9FIv/Vbv6UT/e7v/q6mDhw4IAAXZjweq+s6AQCAcxdjVAhBADDvKmEuvfTSSzp8+LCuvPJKbdq0SSfasGGDrr32Wk0Nw6DTWbt2rR566CF96lOf0sn27dunqRtuuEEALoy1VlM5ZwEAgLNXSlEpRdZaAcC8q4S5dPDgQU1t3LhRp3LVVVdp6tVXX9XpvPvd79Ydd9wh55ymnnvuOX3961/Xvffeq+985zv6lV/5FX3wgx8UgAs3Ho/VdZ0AAMDZizEqhCAAWASVMJeOHTumqcsuu0ynsn79ek0dPnxYZ+uRRx7R1q1b9U//9E+a+sQnPqGf+7mf09mq61p1Xauua9V1rbquVde16roWsOy892rbVgAA4OyUUpRzlvdewLKr61p1Xauua9V1rbquVde16rpWXdfCfKiEuXTs2DGdydGjRzW1Zs0ana0tW7boS1/6kj7+8Y/rXe96l/70T/9UDz/8sM5W3/fq+15936vve/V9r77v1fe9AEjee7VtKwAA8PZyzrLWCoDU9736vlff9+r7Xn3fq+979X2vvu+F+VAJc2ndunWaOnTokE7lzTff1NS6det0tq6//nq9//3v13333ae/+Zu/UVVVevzxx3XkyBEBuHCTyURN0wgAAJxZKUV79+7VeDwWACyKSphLV111laYOHDig48eP62TDMGhwhZm8AAAgAElEQVRq48aNOp1/+Id/0NatW/Xtb39bJ7v++uv1nve8Rz/60Y/03HPPCcDKsNYq5ywAAHB6pRSVUmStFQAsikqYS5s2bdLll1+uQ4cO6fnnn9eJDh48qBdffFFr1qzR1VdfrdP5j//4D33961/XY489plN54403NPWud71LAFbGeDxW13UCAACnF2NUCEEAsEgqYS6tXbtWN954o6a2b9+uY8eO6S0PP/ywjh49quuuu05XXHGFpvbv369du3Zp165desuv/uqvauoHP/iBvv/97+tEbdvq5Zdf1s/8zM/ove99rwCsDO+9cs4qpQgAAPy0UopKKbLWCgAWSSXMrfvuu0/r16/Xvn37dNNNN+mBBx7Qrbfeqj179mjNmjXasmWL3vLMM89o+/bt2r59u97y3ve+Vx/60Ic0NR6Pdf/99+tzn/uc/uiP/kif//znNRVC0Dve8Q4BWDkhBMUYBQAAflqMUSEEAcCiqYS5NRqN1LatrrnmGr3yyit68skndeDAAW3atEmPPfaYbrjhBp1s7dq1OtGnP/1p3X///Vq/fr2++c1vqus6Pffcc3rPe96jL33pS/qDP/gDAVhZ3nu1bSsAAPC/lVKUc5b3XgCwaCphrm3evFlPPPGE+r5X3/fq+14pJd1yyy060T333KO+77V//36daN26dfrYxz6m73//++r7Xn3fq+97ffOb39T73/9+Abg4vPdq21YAAOAncs6y1goAFlElAMAlNx6P1XWdAADAT3Rdp/F4LABYRJUAAJectVZTOWcBAAAp56wpa60AYBFVAgCsivF4rK7rBAAApBijQggCgEVVCQCwKrz3yjmrlCIAAJZZKUWlFFlrBQCLqhIAYNWEEBRjFAAAy6zrOnnvBQCLrBIAYNV479W2rQAAWFalFLVtqxCCAGCRVQIArCrvvdq2FQAAyyjnLGutAGDRVQIArKrxeKyu6wQAwDLquk7j8VgAsOgqAQBWlbVWUzlnAQCwTHLOmrLWCgAWXSUAwKobj8fquk4AACyTrus0Ho8FAMugEgBg1XnvlXNWKUUAACyDUopyzvLeCwCWQSUAwEyw1irnLAAAlkHOWdZaAcCyqAQAmAmTyURN0wgAgEVXStHevXs1Ho8FAMuiEgBgZnjv1batAABYZKUUlVJkrRUALItKAICZcfPNN2vv3r0CAGCRxRgVQhAALJNKAICZ4b1XzlmlFAEAsIhKKSqlyForAFgmlQAAMyWEoBijAABYRDFGhRAEAMumEgBgpnjv1batAABYNKUU5ZzlvRcALJtKAICZ471X27YCAGCR5JxlrRUALKNKAICZE0JQjFGlFMUYNRqNFGNUKUUAAMyLUopijBqNRooxqus6jcdjAcAyqgQAmDnGGJVS5JzT1DAMmnLOaTQaKcYoAABmmXNOzjlNDcOgUopyzmqaRjFGAcCyqQQAmCk5ZznntG3bNllrFULQVAhBwzAopSQAAGZVzlnOOYUQNAyDQgiaKqUopaSUkgBgGVUCAMyUGKNCCAohKOesUopOZIzRzTffLOecAACYNTFGhRBkrdVbSikqpchaK2OMbr75ZjnnBADLpBIAYGaUUlRKkbVWUyEExRh1MmutSikqpQgAgFlRSlEpRdZanajrOnnv9RZrrUopKqUIAJZFJQDAzIgxKoSgt3jv1batTiWEoBijAACYFTFGhRB0srZtFULQiUIIijEKAJZFJQDAzGjbVt57nch7r6ZpdDLvvdq2FQAAs6JtW3nvdaIYo6y1Opn3Xm3bCgCWRSUAwMzw3qttW51oMpmolCLnnE7Utq289wIAYFZ479W2raZKKYoxqm1bTSYTnaxtW3nvBQDLohIAYGaMx2N1XaeTpZRkrdVoNFLOWVNd12k8HgsAgFkxHo/VdZ1KKXLOaWoYBp1K13Uaj8cCgGVRCQAwM6y1mso562QhBE0mEznnFGPUlLVWAADMCmutppxz8t4rhKBTyTlrylorAFgWlQAAMyWlpL1796qUopNZa5VS0rZt22SMEQAAs6KUohijSimy1mo8HutUSimKMSqEIABYJpUAADPJOafRaKQYo0opattWzjk1TaNhGFRKkXNOAACstlKKYozKOWsYBhlj5JzTaDRSjFGlFLVtK+ecnHNKKclaKwBYJpUAADMnhKBhGJRS0pRzTnv37lUIQcMwyBijlJKstRqNRso5CwCA1VBKkXNOxhillDQVQtAwDEopaco5p7179yqEoGEYBADLqBIAYGYZYxRC0DAMmkwmstbqRCEETSYTOefUtq0AALiUYoxyzsl7rxCCTmaMUQhBwzBoMpnIWisAWFaVAABzzVqrYRjUdZ2aphEAABdbKUUxRrVtq5SSQggCAJxZJQDA3DPGKKWkUoqccwIA4GIppcg5p6lhGGSMEQDg7VUCACyMlJKstRqNRso5CwCAlVRKUdM08t4rhCAAwNmrBABYKCEETSYTOecUYxQAACshxijnnMbjsUIIAgCcm0oAgIVjrdUwDMo5yzknAADOVylFMUa1bauUkrz3AgCcu0oAgIVkjFFKScYYjUYjlVIEAMC5KKXIOaepYRhkjBEA4PxUAgAstMlkohCCnHPKOQsAgLORc5ZzTt57hRAEALgwlQAAC897r5SSnHOKMQoAgDOJMappGqWUFEIQAODCVQIALAVjjIZhUM5ZzjkBAHCyUopijGrbViklGWMEAFgZlQAAS8MYo5SSrLUajUbKOQsAgKlSipxzmhqGQcYYAQBWTiUAwNIJIWgymcg5p5yzAADLrW1bOefkvVcIQQCAlVcJALCUrLUahkFN0yjGKADA8imlKMaoGKNSSgohCABwcVQCACwtY4xSSso5yzknAMDyKKUoxqics4ZhkDFGAICLpxIAYKkZY5RSkrVWo9FIOWcBABZbKUXOORljlFISAODiqwQAwP8VQtBkMpFzTm3bCgCwmGKMcs7Je68QggAAl0YlAAD+H2uthmFQ13VqmkYAgMVRSlGMUW3bKqWkEIIAAJdOJQAATmCMUUpJpRQ55wQAmH+lFDnnNDUMg4wxAgBcWpUAADiFlJKstRqNRso5CwAwn0opappG3nuFEAQAWB2VAAA4jRCCJpOJnHOKMQoAMF9ijHLOaTweK4QgAMDqqQQAwBlYazUMg3LOcs4JADD7SimKMaptW6WU5L0XAGB1VcLce+2117Rv3z7t3r1b3/3ud/Xqq6/qXL322mv63ve+p69//et65pln9NprrwkA3mKMUUpJxhiNRiOVUgQAmE2lFDnnNDUMg4wxAgCsvkqYa7t375ZzTh/+8If14IMP6qMf/aistfrKV76is3H8+HG1bavf/u3f1kc+8hFt3bpV3ns55/TVr35VAHCiyWSiEIKcc8o5CwAwW3LOcs7Je68QggAAs6MS5tazzz6rrVu36vXXX9ftt9+ubdu26Y477tCRI0f0yCOPaM+ePXo7jz/+uD7/+c/r2LFj+shHPqLPfOYz+uAHP6g33nhDn/3sZ/XUU08JAE7kvVdKSc45xRgFAJgNMUY1TaOUkkIIAgDMlkqYWzt37tTx48d111136dFHH9Wdd96phx56SFu2bNHUzp07dSZHjx7Vjh07NPXwww9r69at+tCHPqQvfOEL+sQnPqGpr33tawKAkxljNAyDcs5yzgkAsHpKKYoxqm1bpZRkjBEAYPZUwlw6fPiw9u3bp6l7771XJ7r77ru1YcMGvfDCC3r55Zd1Ov/2b/+mgwcPatOmTfrABz6gE/3hH/6hpn7wgx8IAE7FGKOUkqy1Go1GyjkLAHBplVLknNPUMAwyxggAMJsqYS699NJLOnz4sK688kpt2rRJJ9qwYYOuvfZaTQ3DoNM5dOiQrr76ar3vfe/TmjVrdKLXXntNUz/7sz8rADiTEIImk4mcc8o5CwBwabRtK+ecvPcKIQgAMNsqYS4dPHhQUxs3btSpXHXVVZp69dVXdTq//Mu/rKeeekqf+9zndLKu6zT167/+6zpbdV2rrmvVda26rlXXteq6Vl3XArDYrLUahkFN0yjGKADAxVNKUYxRMUallBRCEIDFVte16rpWXdeq61p1Xauua9V1rbquhflQCXPp2LFjmrrssst0KuvXr9fU4cOHdS6OHTumv/iLv9A3vvENXXbZZfqzP/szna2+79X3vfq+V9/36vtefd+r73sBWHzGGKWUlHOWc04AgJVXSlGMUTlnDcMgY4wALL6+79X3vfq+V9/36vtefd+r73v1fS/Mh0qYS8eOHdOZHD16VFNr1qzR2XrhhRf0x3/8x/qbv/kbvfOd79TOnTv1S7/0SwKAs2WMUUpJ1lqNRiPlnAUAWBmlFDVNI2OMUkoCAMyXSphL69at09ShQ4d0Km+++aam1q1bp7dz9OhR/fVf/7V+//d/X88995yuv/56feMb39CNN94oADgfIQRNJhM559S2rQAAFybGKOecrLUKIQgAMH8qYS5dddVVmjpw4ICOHz+ukw3DoKmNGzfqTI4cOaL7779ff/mXf6n169frM5/5jB5//HEZYwQAF8Jaq2EY1HWdmqYRAODclVIUY1TbtkopKYQgAMB8qoS5tGnTJl1++eU6dOiQnn/+eZ3o4MGDevHFF7VmzRpdffXVOpNHH31U3/rWt3TNNddoz549+tCHPqQ1a9YIAFaCMUYpJZVSNBqNBAA4e6UUOec0NQyDjDECAMyvSphLa9eu1Y033qip7du369ixY3rLww8/rKNHj+q6667TFVdcoan9+/dr165d2rVrl97y7//+7/rqV7+qd77znWrbVj//8z8vALgYUkry3ms0GinnLADAmZVS1DSNvPcKIQgAMP8qYW7dd999Wr9+vfbt26ebbrpJDzzwgG699Vbt2bNHa9as0ZYtW/SWZ555Rtu3b9f27dv1lu9973s6cuSIjh8/rk9+8pNqmkZN06hpGjVNo6Zp9OCDDwoAVkIIQZPJRM45xRgFADi1GKOccxqPxwohCACwGCphbo1GI7Vtq2uuuUavvPKKnnzySR04cECbNm3SY489phtuuEEnW7t2rd6yf/9+Tf3oRz/S008/raefflpPP/20nn76aT399NN6+umn9eyzzwoAVoq1VsMwKOcs55wAAD9RSlGMUW3bKqUk770AAIujEuba5s2b9cQTT6jve/V9r77vlVLSLbfcohPdc8896vte+/fv11sefPBB9X2vvu/V9736vlff9+r7Xn3fq+97ffvb3xYArCRjjFJKMsZoNBqplCIAWHalFDnnNDUMg4wxAgAslkoAAKyCyWSiEIKcc8o5CwCWVc5Zzjl57xVCEABgMVUCAGCVeO+VUpJzTjFGAcCyiTGqaRqllBRCEABgcVUCAGAVGWM0DINyznLOCQCWQSlFMUa1bauUkowxAgAstkoAAKwyY4xSSrLWajQaKecsAFhUpRQ55zQ1DIOMMQIALL5KAADMiBCCJpOJnHPKOQsAFk2MUc45ee8VQhAAYHlUAgBghlhrNQyDmqZRjFEAsAhKKYoxqm1bpZQUQhAAYLlUAgBgxhhjNAyDcs5yzgkA5lkpRTFG5Zw1DIOMMQIALJ9KAADMqJSSrLUajUbKOQsA5k0pRU3TyBijlJIAAMurEgAAMyyEoMlkIuec2rYVAMyLGKOcc7LWKoQgAMByqwQAwIyz1moYBnVdp6ZpBACzrJSiGKPatlVKSSEEAQBQCQCAOWCMUUpJpRSNRiMBwCwqpcg5p6lhGGSMEQAAU5UAAJgjKSWFEDQajZRzFgDMilKKmqaR914hBAEAcKJKAADMGe+9JpOJnHOKMQoAVluMUc45jcdjhRAEAMDJKgEAMIestRqGQTlnOecEAKuhlKIYo9q2VUpJ3nsBAHAqlQAAmFPGGKWUZK3VaDRSKUUAcKmUUuSc09QwDDLGCACA06kEAMCcCyEohCDnnHLOAoCLLecs55y89wohCACAt1MJAIAF4L1XSklN0yjGKAC4WGKMappGKSWFEAQAwNmoBADAgjDGKKWknLOccwKAlVRKUYxRbdsqpSRjjAAAOFuVAABYIMYYpZRkrdVoNFLOWQBwoUopcs5pahgGGWMEAMC5qAQAwAIKIWgymcg5p5yzAOB8xRjlnJP3XiEEAQBwPioBALCgrLUahkExRsUYBQDnopSiGKPatlVKSSEEAQBwvioBALDAjDFKKSnnLOecAOBslFIUY1TOWcMwyBgjAAAuRCUAAJZASknWWo1GI+WcBQCnU0pR0zQyxiilJAAAVkIlAACWRAhBk8lEzjm1bSsAOFmMUc45WWsVQhAAACulEgAAS8Raq2EY1HWdmqYRAEyVUhRjVNu2SikphCAAAFZSJQAAlowxRikllVI0Go0EYLmVUuSc09QwDDLGCACAlVYJAIAllVJSCEGj0Ug5ZwFYPqUUNU0j771CCAIA4GKpBADAEvPeazKZyDmnGKMALI8Yo5xzCiEohCAAAC6mSgAALDlrrYZhUM5ZzjkBWGylFMUY1batUkqy1goAgIutEgAAkDFGKSVZazUajVRKEYDFU0qRc05TwzDIGCMAAC6FSgAA4H+EEBRC0Gg0Us5ZABZHzlnOOXnvFUIQAACXUiUAAPC/eO81DIOaplGMUQDmWylFMUY1TaOUkkIIAgDgUqsEAAB+ijFGKSXlnOWcE4D5VEpR13Vq21YpJRljBADAaqgEAABOyRijlJKstRqNRso5C8D8KKXIOaepYRhkjBEAAKulEgAAOKMQgiaTiZxzyjkLwOyLMco5J++9QggCAGC1VQIAAG/LWqthGBRjVIxRAGZTKUUxRrVtq5SSQggCAGAWVAIAAGfFGKOUknLOcs4JwGwppSjGqJyzhmGQMUYAAMyKSgAA4JyklGSt1Wg0Us5ZAFZfKUVN08gYo5SSAACYNZUAAMA5CyFoMpnIOae2bQVg9cQY5ZyTtVYhBAEAMIsqAQCA82Kt1TAM6rpOTdMIwKVVSlGMUW3bKqWkEIIAAJhVlQAAwHkzxiilpKnRaCQAl0YpRc45TQ3DIGOMAACYZZUAAMAFm0wmCiFoNBop5ywAF08pRU3TyHuvEIIAAJgHlQAAwIrw3msymcg5pxijAKy8GKOccwohKIQgAADmRSUAALBirLUahkE5ZznnBGBllFIUY1TbtkopyVorAADmSSUAALCijDFKKclaq9FopJyzAJy/Uoqcc5oahkHGGAEAMG8qAQCAiyKEoBCCnHPKOQvAucs5yzkn771CCAIAYF5VAgAAF433XsMwqGkaxRgF4OyUUhRjVNM0SikphCAAAOZZJQAAcFEZY5RSUs5ZzjkBOLNSirquU85ZKSUZYwQAwLyrBAAALjpjjFJKstZqNBop5ywAP62UIuecplJKMsYIAIBFUAkAAFwyIQRNJhM555RzFoCfiDHKOSfvvUIIAgBgkVQCAACXlLVWwzAoxqimaQQsu1KKYoxq21YpJYUQBADAoqkEAAAuOWOMUkoqpcg5J2BZlVIUY1QpRcMwyBgjAAAWUSXMvddee0379u3T7t279d3vflevvvqqztcwDPrbv/1b/fCHPxQA4OJLKclaq9FopJyzgGVSSlHTNDLGaDKZCACARVYJc2337t1yzunDH/6wHnzwQX30ox+VtVZf+cpXdD6+9KUvadu2bfrXf/1XAQAujRCCJpOJnHOKMQpYBjFGOec0Ho8VQhAAAIuuEubWs88+q61bt+r111/X7bffrm3btumOO+7QkSNH9Mgjj2jPnj06W2+88Ya+9KUv6Zvf/KYAAJeetVbDMCjnrKZpBCyqUopijGrbViklee8FAMAyqIS5tXPnTh0/flx33XWXHn30Ud1555166KGHtGXLFk3t3LlTb+cf//Ef9cEPflDve9/79Fd/9VcCAKweY4xSSpoajUYqpQhYJKUUOec0NQyDjDECAGBZVMJcOnz4sPbt26epe++9Vye6++67tWHDBr3wwgt6+eWXdSbHjx/Xj3/8Y/3CL/yCrr76ar3jHe8QAGB1TSYThRDknFPOWcAiKKWoaRp57xVCEAAAy6YS5tJLL72kw4cP68orr9SmTZt0og0bNujaa6/V1DAMOpObb75ZTz31lJ566ik99dRTuummmwQAWH3ee00mEznnFGMUMM9ijHLOaTKZKIQgAACWUSXMpYMHD2pq48aNOpWrrrpKU6+++qoAAPPJWqthGJRzlnNOwLwppSjGqLZtlVKSMUYAACyrSphLx44d09Rll12mU1m/fr2mDh8+rEulrmvVda26rlXXteq6Vl3XqutaAIDzY4xRSknWWo1GI+WcBcyDUoqcc5oahkHGGAEAzk9d16rrWnVdq65r1XWtuq5V17XquhbmQyXMpWPHjulMjh49qqk1a9boUun7Xn3fq+979X2vvu/V9736vhcA4MKEEDSZTOScU85ZwCzLOcs5J++9QggCAFyYvu/V9736vlff9+r7Xn3fq+979X0vzIdKmEvr1q3T1KFDh3Qqb775pqbWrVsnAMBisNZqGAY1TaMYo4BZU0pRjFFN0yilpBCCAADA/68S5tJVV12lqQMHDuj48eM62TAMmtq4caMAAIvDGKOUknLOcs4JmBWlFHVdp5yzhmGQMUYAAOAnKmEubdq0SZdffrkOHTqk559/Xic6ePCgXnzxRa1Zs0ZXX321AACLxRijlJKstRqNRso5C1hNpRQ55zSVUhIAAPhplTCX1q5dqxtvvFFT27dv17Fjx/SWhx9+WEePHtV1112nK664QlP79+/Xrl27tGvXLgEAFkMIQZPJRM45tW0rYDXEGOWck/deIQQBAIBTq4S5dd9992n9+vXat2+fbrrpJj3wwAO69dZbtWfPHq1Zs0ZbtmzRW5555hlt375d27dvFwBgcVhrNQyDuq5T0zQCLpVSimKMattWKSWFEAQAAE6vEubWaDRS27a65ppr9Morr+jJJ5/UgQMHtGnTJj322GO64YYbdLK1a9fqTNauXSsAwHwxxiilpFKKnHMCLrZSipqmUSlFwzDIGCMAAHBmlTDXNm/erCeeeEJ936vve/V9r5SSbrnlFp3onnvuUd/32r9/v85kx44d6vtev/EbvyEAwHxJKclaq9FopJyzgIuhlKKmaWSt1WQyEQAAODuVAADAwgghaDKZyDmnGKOAlRRjlHNO4/FYIQQBAICzVwkAACwUa62GYVDOWU3TCLhQpRTFGNW2rVJK8t4LAACcm0oAAGDhGGOUUtLUaDRSKUXA+SilyDmnqWEYZIwRAAA4d5UAAMDCmkwmCiHIOaecs4BzUUpR0zTy3iuEIAAAcP4qAQCAhea912QykXNOMUYBZyPGKOecJpOJQggCAAAXphIAAFh41loNw6Ccs5xzAk6nlKIYo9q2VUpJxhgBAIALVwkAACwFY4xSSrLWajQaKecs4ESlFDnnNDUMg4wxAgAAK6MSAABYKiEETSYTOeeUcxYwlXOWc07ee4UQBAAAVlYlAACwdKy1GoZBTdMoxigsr1KKYoxqmkYpJYUQBAAAVl4lAACwlIwxSikp5yznnLB8SimKMSrnrGEYZIwRAAC4OCoBAIClZYxRSknWWo1GI+WcheVQSpFzTsYYpZQEAAAurkoAAGDphRA0mUzknFPbtsJiizHKOSfvvUIIAgAAF18lAACA/8taq2EY1HWdmqYRFk8pRTFGtW2rlJJCCAIAAJdGJQAAgP/HGKOUkkopcs4Ji6OUIuecSikahkHGGAEAgEunEgAAwElSSrLWajQaKecszLdSipqmkfdek8lEAADg0qsEAABwCiEETSYTOecUYxTmU4xRzjmNx2OFEAQAAFZHJQAAgNOw1moYBuWc1TSNMD9KKYoxqm1bpZTkvRcAAFg9lQAAAM7AGKOUkqZGo5FKKcJsK6XIOaepYRhkjBEAAFhdlQAAAM7CZDJRCEHOOeWchdmUc1bTNPLeK4QgAAAwGyoBAACcJe+9JpOJnHOKMQqzJcaopmk0mUwUQhAAAJgdlQAAAM6BtVbDMCjnLOecsPpKKYoxqm1bpZRkjBEAAJgtlQAAAM6RMUYpJVlrNRqNlHMWVkcpRc45TQ3DIGOMAADA7KkEAABwnkIImkwmcs4p5yxcWm3byjkn771CCAIAALOrEgAAwAWw1moYBjVNoxijcPGVUhRjVIxRKSWFEAQAAGZbJQAAgAtkjFFKSTlnOeeEi6eUohijcs4ahkHGGAEAgNlXCQAAYAUYY5RSkrVWo9FIOWdhZZVS5JyTMUYpJQEAgPlRCQAAYAWFEDSZTOScU9u2wsqIMco5J++9QggCAADzpRIAAMAKs9ZqGAZ1XaemaYTzV0pRjFFt2yqlpBCCAADA/KkEAABwERhjlFJSKUXOOeHclVLknNPUMAwyxggAAMynSgAAABdRSknWWo1GI+WchbNTSlHTNPLeK4QgAAAw3yoBAABcZCEETSYTOecUYxTOLMYo55zG47FCCAIAAPOvEgAAwCVgrdUwDMo5yzkn/LRSimKMattWKSV574X/jz34j627oPc//mzruroGIrC1WkJyNsDXkDDNUi4QHPbc3BkzfkRjQh371S2NIkG53BSIq9hzSpBNV6ZkUK2xK2DvIUADWHBy9eZUyUR7J/5x2cgrsJzezY2LtFG6tszT9fSbTwz5Fm435hWusL4fjxBCCOHUUE4IIYQQwv+RVCpFPp8nlUqxePFihoaGCH8xNDREOp0mUSgUSKVShBBCCOHUUU4IIYQQwv+xnTt30tbWRjqdZmBggLluYGCAdDpNU1MTbW1thBBCCOHUU04IIYQQwt9BU1MT+XyedDpNNptlrspms2zcuJF8Pk9bWxshhBBCODWVE0IIIYTwd5JKpSgUCgwMDJBOp5lLhoaGyGaz9PT0kM/nSaVShBBCCOHUVU4IIYQQwt9RKpUin8/T0NDA4sWLGRgY4FQ3NDREOp0mUSgUSKVShNBYJtgAACAASURBVBBCCOHUVk4IIYQQwntAW1sbO3fuJJ1OMzAwwKmqp6eHdDpNU1MTbW1thBBCCGFuKCeEEEII4T2ioaGBQqHAxo0byWaznEqGhobIZrNks1ny+TxtbW2EEEIIYe4oJ4QQQgjhPSSVSpHP5xkYGCCdTnMqGBoaIpvNMjAwQKFQIJVKEUIIIYS5pZwQQgghhPeYVCpFPp+noaGBxYsXMzAwwPvV0NAQ6XSaVCpFPp8nhBBCCHNTOSGEEEII71FtbW3s3LmTdDpNT08P7zfZbJZ0Ok1TUxNtbW2EEEIIYe4qJ4QQQgjhPayhoYFCocD999/Pxo0beT8YGhoim83S09NDPp+nra2NEEIIIcxt5YQQQgghvMelUiny+TxDQ0Ok02ney4aGhkin0yQKhQKpVIoQQgghhHJCCCGEEN4n8vk8DQ0NLF68mIGBAd5rhoaG2LhxI01NTbS1tRFCCCGE8IZyQgghhBDeR9ra2ti5cyfpdJpsNst7RTabJZ1Os2HDBtra2gghhBBCmKmcEEIIIYT3mYaGBgqFAgMDA6TTaf6ehoaGyGaz9PT0kM/naWpqIoQQQgjhrcoJIYQQQngfSqVS5PN5UqkUixcvZmhoiP9rQ0NDpNNpEoVCgVQqRQghhBDCbMoJIYQQQngf27lzJ21tbaTTaQYGBvi/MjAwQDqdpqmpiba2NkIIIYQQTqScEEIIIYT3uaamJvL5POl0mmw2y7stm82yceNG8vk8bW1thBBCCCG8nXJCCCGEEE4BqVSKQqHAwMAA6XSad8PQ0BDZbJaenh7y+TypVIoQQgghhJNRTgghhBDCKSKVSpHP52loaGDx4sUMDAzwThkaGiKdTpMoFAqkUilCCCGEEE5WOSGE9yxJhHeHJMK7QxLh3SGJcHLa2trYuXMn6XSagYEB3o4kTqSnp4d0Ok1TUxNtbW2EkyOJ8O6QRHh3SCK8OyQRwlxWTpjzRkdHGRwcpK+vj927dzMyMkIIIYTwftfQ0EChUGDjxo1ks1lmMzQ0RDabpVAokM1mGRoaYqahoSGy2SzZbJZ8Pk9bWxshhBBCCP8b5YQ5ra+vj3Q6zbp169i8eTObNm2ioaGBrq4uQgghhPe7VCpFPp9nYGCAdDrNTOl0mnQ6TWLx4sUk0uk0ixcvJpvNMjQ0RDabZWBggEKhQCqVIoQQQgjhf6ucMGft2bOH1tZWxsbGWLVqFZlMhsbGRiYnJ+no6KC/v58QQgjh/S6VSpHP52loaGDx4sVks1nS6TRtbW0UCgXa2tpItLW1USgUyOfzDA0NkU6nSaVS5PN5QgghhBD+VuWEOauzs5Pp6WnWrFnD9u3bWb16Ne3t7bS0tJDo7OwkhBBCOFW0tbWxc+dOMpkMDQ0NNDQ0MJv777+fgYEBEm1tbYQQQgghvBPKCXNSsVhkcHCQRHNzMzOtXbuWqqoq9u/fz+HDhwkhhBBOFalUilQqxcDAABs3bmSmoaEhstksPT095PN5EkNDQ4QQQgghvBPKCXPSoUOHKBaLLFq0iLq6Omaqqqpi6dKlJAqFAiGEEMKpIpvN0tbWRj6fZ2hoiHQ6TWJycpJ0Ok2iUCiQSqVoa2sjm80SQgghhPBOKCfMScPDwyRqa2uZTU1NDYmRkRFOliQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIIiEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpBEQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIYmEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEglJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhiZ6eHu666y4kcfjwYf7zP/+TyspK/vu//5sjR47wr//6r0hCEnfddRc9PT1IQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCGJhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhIJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJBKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpKQhCQkIQlJSEISkpCEJCQhCUlIQhKSkIQkJCEJSUhCEpII7w/lhDmpVCqRmDdvHrOZP38+iWKxyMmwjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGObpqYmvva1r2Eb2wwPD/Nv//Zv3HfffQwPD2Mb29jma1/7Gk1NTdjGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb29jGNraxjW1sYxvb2MY2trGNbWxjG9vYxja2sU147ysnzEmlUokTmZqaIlFWVkYIIYRwqtiwYQP3338/MzU0NNDU1MRb3X///WzYsIEQQgghhHdCOWFOqqysJDExMcFsjh49SqKyspIQQgjhVNHQ0EBiYGCAExkYGCDR0NBACCGEEMI7oZwwJ9XU1JA4ePAg09PTvFWhUCBRW1tLCCGEcCrJ5/P84he/YGhoiNkMDQ2RzWZpa2sjhBBCCOGdUk6Yk+rq6qiurmZiYoK9e/cy0/DwMAcOHKCsrIwlS5YQQgghnIrS6TSLFy8mm80yNDRET08P6XSadDpNPp+noaGBEEIIIYR3SjlhTqqoqGDFihUktm7dSqlU4g1btmxhamqKZcuWsXDhQkIIIYRTTVtbG4VCgXw+TyKdTvOLX/yCtrY2CoUCIYQQQgjvtHLCnPXP//zPzJ8/n8HBQa644gr+5V/+hX/6p3+iv7+fsrIyWlpaCCGEEE5lqVSKtrY2CoUCO3fupKGhgRBCCCGEd0M5Yc5avHgxPT09nH/++bz66qs89dRTHDx4kLq6Ou677z7+4R/+gRBCCCGEEEIIIfztyglz2vLly3nyySexjW1sk8/n+cd//EdCCCGEEEIIIYTwzignhBBCCCGEEEIIIbyrygkhhBBCCCGEEEII76pyQgghhBBCCCGEEMK7qpwQQgghhBBCCCGE8K4qJ4R3WKFQIJfL8dprrxFOzujoKIODg/T19bF7925GRkb4a7z22ms888wzPPzwwzzzzDMMDw8T/mJ0dJTBwUH6+vrYvXs3IyMj/LVee+01fvazn9Hf349tAoyOjjI4OEhfXx+7d+9mZGSE/61XX32VXC7H888/T4DR0VEGBwfp6+tj9+7djIyM8NcYHR3lN7/5DY8++ijPPvsso6OjhNmNjo4yODhIX18fu3fvZmRkhHByRkdHGRwcpK+vj927dzMyMsJfa3R0lN/85jc8+uijPPvss4yOjhJgdHSUwcFB+vr62L17NyMjI/wtXn31VXK5HM8//zxz2ejoKIODg/T19bF7925GRkb433jttdf42c9+Rn9/P7YJMDo6yuDgIH19fezevZuRkRH+Wq+99hrPPPMMDz/8MM888wzDw8OEk1coFMjlcrz22muE97ZyQniH3XPPPWQyGV566SXC2+vr6yOdTrNu3To2b97Mpk2baGhooKuri5PxwAMPkE6naW5u5vbbb6e5uZmGhga++93vMtf19fWRTqdZt24dmzdvZtOmTTQ0NNDV1cXJ+NOf/sR1113HJZdcwo033khLSwvXXHMNX/rSl3j99deZq/r6+kin06xbt47NmzezadMmGhoa6Orq4q81PT3NrbfeSiaTYWBggLmur6+PdDrNunXr2Lx5M5s2baKhoYGuri7ezvT0ND09PVx++eWsX7+e1tZWmpqaSKfTPPDAA4Q36+vrI51Os27dOjZv3symTZtoaGigq6uLcGJ9fX2k02nWrVvH5s2b2bRpEw0NDXR1dXEypqen6enp4fLLL2f9+vW0trbS1NREOp3mgQceYC7r6+sjnU6zbt06Nm/ezKZNm2hoaKCrq4v/jenpaW699VYymQwDAwPMVX19faTTadatW8fmzZvZtGkTDQ0NdHV1cbL+9Kc/cd1113HJJZdw44030tLSwjXXXMOXvvQlXn/9deaqvr4+0uk069atY/PmzWzatImGhga6uro4WQ888ADpdJrm5mZuv/12mpubaWho4Lvf/S7h5Nxzzz1kMhleeuklwntbOSG8Q8bHx7nnnnv4yU9+Qjg5e/bsobW1lbGxMVatWkUmk6GxsZHJyUk6Ojro7+/nRH7+859z5513cvToURobG2lvb+fKK6+krKyM++67j0cffZS5as+ePbS2tjI2NsaqVavIZDI0NjYyOTlJR0cH/f39nMj4+DibNm3it7/9LR/72Me46aabWLduHR/60IcYGBhg27ZtzEV79uyhtbWVsbExVq1aRSaTobGxkcnJSTo6Oujv7+ev8eCDD/KrX/2KAHv27KG1tZWxsTFWrVpFJpOhsbGRyclJOjo66O/v50Qeeugh7rrrLkqlEuvXr+eOO+7g6quvZnx8nDvvvJNdu3YR/mLPnj20trYyNjbGqlWryGQyNDY2Mjk5SUdHB/39/YTZ7dmzh9bWVsbGxli1ahWZTIbGxkYmJyfp6Oigv7+ft/PQQw9x1113USqVWL9+PXfccQdXX3014+Pj3HnnnezatYu5aM+ePbS2tjI2NsaqVavIZDI0NjYyOTlJR0cH/f39/LUefPBBfvWrXzGX7dmzh9bWVsbGxli1ahWZTIbGxkYmJyfp6Oigv7+ftzM+Ps6mTZv47W9/y8c+9jFuuukm1q1bx4c+9CEGBgbYtm0bc9GePXtobW1lbGyMVatWkclkaGxsZHJyko6ODvr7+3k7P//5z7nzzjs5evQojY2NtLe3c+WVV1JWVsZ9993Ho48+Sji+8fFx7rnnHn7yk58Q3h/KCeFv9Mtf/pKrr76ayy67jHvvvZdw8jo7O5menmbNmjVs376d1atX097eTktLC4nOzk5O5MknnyTxxS9+kfb2dhobG7n77rv5whe+QOKJJ55grurs7GR6epo1a9awfft2Vq9eTXt7Oy0tLSQ6Ozs5kYceeoi9e/dSX1/PI488wg033MDXv/51vv3tb5N46qmnmJ6eZq7p7OxkenqaNWvWsH37dlavXk17ezstLS0kOjs7OVkvvvgi27ZtY8GCBQTo7OxkenqaNWvWsH37dlavXk17ezstLS0kOjs7OZ6pqSl27NhBYsuWLbS2tnLttdeybds2brjhBhIPPvgg4S86OzuZnp5mzZo1bN++ndWrV9Pe3k5LSwuJzs5Owuw6OzuZnp5mzZo1bN++ndWrV9Pe3k5LSwuJzs5OTmRqaoodO3aQ2LJlC62trVx77bVs27aNG264gcSDDz7IXNTZ2cn09DRr1qxh+/btrF69mvb2dlpaWkh0dnby13jxxRfZtm0bCxYsYC7r7OxkenqaNWvWsH37dlavXk17ezstLS0kOjs7eTsPPfQQe/fupb6+nkceeYQbbriBr3/963z7298m8dRTTzE9Pc1c09nZyfT0NGvWrGH79u2sXr2a9vZ2WlpaSHR2dvJ2nnzySRJf/OIXaW9vp7GxkbvvvpsvfOELJJ544gnC//TLX/6Sq6++mssuu4x7772X8P5RTgh/o+npaY4dO8bZZ5/NkiVL+MAHPkB4e8VikcHBQRLNzc3MtHbtWqqqqti/fz+HDx/meEZGRkhcdNFFzHTJJZeQ+OMf/8hcVCwWGRwcJNHc3MxMa9eupaqqiv3793P48GGO58knnySRzWapqKjgDVdccQWZTIYbbriBUqnEXFIsFhkcHCTR3NzMTGvXrqWqqor9+/dz+PBh3s7k5CS33HIL1dXVtLS0MNcVi0UGBwdJNDc3M9PatWupqqpi//79HD58mNn8/ve/Z3h4mLq6Oq666ipm+vznP0/ihRdeIECxWGRwcJBEc3MzM61du5aqqir279/P4cOHCW9WLBYZHBwk0dzczExr166lqqqK/fv3c/jwYY7n97//PcPDw9TV1XHVVVcx0+c//3kSL7zwAnNNsVhkcHCQRHNzMzOtXbuWqqoq9u/fz+HDhzkZk5OT3HLLLVRXV9PS0sJcVSwWGRwcJNHc3MxMa9eupaqqiv3793P48GFO5MknnySRzWapqKjgDVdccQWZTIYbbriBUqnEXFIsFhkcHCTR3NzMTGvXrqWqqor9+/dz+PBhTmRkZITERRddxEyXXHIJiT/+8Y+E/2l6eppjx45x9tlns2TJEj7wgQ8Q3h/KCeFv9KlPfYpdu3axa9cudu3axRVXXEF4e4cOHaJYLLJo0SLq6uqYqaqqiqVLl5IoFAocz6WXXkoin88z009/+lMSl19+OXPRoUOHKBaLLFq0iLq6Omaqqqpi6dKlJAqFArP5wx/+wL59+zjnnHM477zzGBsb49e//jXPPPMMw8PDrF69mvXr11NRUcFccujQIYrFIosWLaKuro6ZqqqqWLp0KYlCocDb+c53vsMLL7xAe3s7Z555JnPdoUOHKBaLLFq0iLq6Omaqqqpi6dKlJAqFArOZmJhgyZIlXHbZZZSVlTHT6OgoidNOO40Ahw4dolgssmjRIurq6pipqqqKpUuXkigUCoQ3O3ToEMVikUWLFlFXV8dMVVVVLF26lEShUOB4JiYmWLJkCZdddhllZWXMNDo6SuK0005jrjl06BDFYpFFixZRV1fHTFVVVSxdupREoVDgZHznO9/hhRdeoL29nTPPPJO56tChQxSLRRYtWkRdXR0zVVVVsXTpUhKFQoHj+cMf/sC+ffs455xzOO+88xgbG+PXv/41zzzzDMPDw6xevZr169dTUVHBXHLo0CGKxSKLFi2irq6Omaqqqli6dCmJQqHAiVx66aUk8vk8M/30pz8lcfnllxP+p0996lPs2rWLXbt2sWvXLq644grC+0M5IYS/i+HhYRK1tbXMpqamhsTIyAjH09jYyIUXXsgjjzxCU1MT27Zt43Of+xz9/f2ce+65bNiwgbloeHiYRG1tLbOpqakhMTIywmxeeeUVEh/96EfZunUrF198MRs2bKC5uZnLL7+cW2+9lfHxceaa4eFhErW1tcympqaGxMjICCcyODhId3c311xzDStXriTA8PAwidraWmZTU1NDYmRkhNlccMEF7Nq1i29+85u81f3330/i4x//OAGGh4dJ1NbWMpuamhoSIyMjhDcbHh4mUVtby2xqampIjIyMcDwXXHABu3bt4pvf/CZvdf/995P4+Mc/zlwzPDxMora2ltnU1NSQGBkZ4e0MDg7S3d3NNddcw8qVK5nLhoeHSdTW1jKbmpoaEiMjIxzPK6+8QuKjH/0oW7du5eKLL2bDhg00Nzdz+eWXc+uttzI+Ps5cMzw8TKK2tpbZ1NTUkBgZGeFEGhsbufDCC3nkkUdoampi27ZtfO5zn6O/v59zzz2XDRs2EMKppJwQwt9FqVQiMW/ePGYzf/58EsVikeM544wz+PSnP03i2Wef5Qc/+AH79u0j8ZnPfIYPf/jDzEWlUonEvHnzmM38+fNJFItFZjMyMkJiYGCA7u5uLr30Um6++WbWr1/PggULeOKJJ7j99tuZa0qlEol58+Yxm/nz55MoFoscz5EjR7jttttYtGgRt99+O+EvSqUSiXnz5jGb+fPnkygWi5ysUqnEt771LR577DHmzZvHTTfdRIBSqURi3rx5zGb+/PkkisUi4c1KpRKJefPmMZv58+eTKBaL/DVKpRLf+ta3eOyxx5g3bx433XQTc02pVCIxb948ZjN//nwSxWKREzly5Ai33XYbixYt4vbbb2euK5VKJObNm8ds5s+fT6JYLHI8IyMjJAYGBuju7ubSSy/l5ptvZv369SxYsIAnnniC22+/nbmmVCqRmDdvHrOZP38+iWKxyImcccYZfPrTnybx7LPP8oMf/IB9+/aR+MxnPsOHP/xhQjiVlBPC2zhy5AiZTIZMJkMmkyGTyZDJZOjo6CAc35EjR8hkMmQyGTKZDJlMhkwmQ0dHB4lSqcSJTE1NkSgrK+N4vvGNb7B9+3YWLFhAc3Mzd999NzfeeCOnnXYa9957L1/+8pc5FR05coRMJkMmkyGTyZDJZMhkMnR0dJAolUqcyNTUFImysjJmMzExQWJqaorVq1ezc+dOrr/+elpbW/nRj35ERUUFTz31FC+++CKnkiNHjpDJZMhkMmQyGTKZDJlMho6ODhKlUokTmZqaIlFWVsbxtLe3c/jwYe68805OP/105oojR46QyWTIZDJkMhkymQyZTIaOjg4SpVKJE5mamiJRVlbGydi/fz/XXXcdP/zhD1mwYAGdnZ2cd955BCiVSpzI1NQUibKyMsKblUolTmRqaopEWVkZJ2v//v1cd911/PCHP2TBggV0dnZy3nnnMdeUSiVOZGpqikRZWRkn0t7ezuHDh7nzzjs5/fTTmetKpRInMjU1RaKs4XI6/QAAFDhJREFUrIzjmZiYIDE1NcXq1avZuXMn119/Pa2trfzoRz+ioqKCp556ihdffJG5pFQqcSJTU1MkysrKOJFvfOMbbN++nQULFtDc3Mzdd9/NjTfeyGmnnca9997Ll7/8ZUI4lZQTwtsYGxsjl8uRy+XI5XLkcjlyuRyPP/444fjGxsbI5XLkcjlyuRy5XI5cLsfjjz9OorKyksTExASzOXr0KInKykpmc+zYMXbt2kV5eTldXV3ccsstXHnllXzlK18hl8tRVVXFwMAAr7zyCqeasbExcrkcuVyOXC5HLpcjl8vx+OOPk6isrCQxMTHBbI4ePUqisrKS2Zx++um84atf/SozXXjhhXzyk58k8fzzz3MqGRsbI5fLkcvlyOVy5HI5crkcjz/+OInKykoSExMTzObo0aMkKisrmc3TTz/Nj3/8Y6666iqWL1/O+Pg44+Pj/PnPfyYxOTnJ+Pg4x44d41QzNjZGLpcjl8uRy+XI5XLkcjkef/xxEpWVlSQmJiaYzdGjR0lUVlZyIlNTU3z/+9/ns5/9LL/73e/4xCc+wWOPPcaKFSsIf1FZWUliYmKC2Rw9epREZWUl4c0qKytJTExMMJujR4+SqKys5O1MTU3x/e9/n89+9rP87ne/4xOf+ASPPfYYK1asYC6qrKwkMTExwWyOHj1KorKykuN5+umn+fGPf8xVV13F8uXLGR8fZ3x8nD//+c8kJicnGR8f59ixY8wVlZWVJCYmJpjN0aNHSVRWVnI8p59+Om/46le/ykwXXnghn/zkJ0k8//zzzCWVlZUkJiYmmM3Ro0dJVFZWcjzHjh1j165dlJeX09XVxS233MKVV17JV77yFXK5HFVVVQwMDPDKK68QwqminBDexllnnUVvby+9vb309vbS29tLb28vXV1dhOM766yz6O3tpbe3l97eXnp7e+nt7aWrq4tETU0NiYMHDzI9Pc1bFQoFErW1tczmueeeY3x8nMWLF3PxxRcz0/nnn8+ll15K4tlnn+VUc9ZZZ9Hb20tvby+9vb309vbS29tLV1cXiZqaGhIHDx5kenqatyoUCiRqa2uZzRlnnEHigx/8IGeeeSZvVVdXR+LVV1/lVHLWWWfR29tLb28vvb299Pb20tvbS1dXF4mamhoSBw8eZHp6mrcqFAokamtrmc1zzz1H4sknn2T58uUsX76c5cuXc9ttt5H43ve+x/Lly3n44Yc51Zx11ln09vbS29tLb28vvb299Pb20tXVRaKmpobEwYMHmZ6e5q0KhQKJ2tpajmdycpKbb76Zu+++m/nz53PHHXfw0EMPkUqlCP9fTU0NiYMHDzI9Pc1bFQoFErW1tYQ3q6mpIXHw4EGmp6d5q0KhQKK2tpYTmZyc5Oabb+buu+9m/vz53HHHHTz00EOkUinmqpqaGhIHDx5kenqatyoUCiRqa2s5nueee47Ek08+yfLly1m+fDnLly/ntttuI/G9732P5cuX8/DDDzNX1NTUkDh48CDT09O8VaFQIFFbW8vxnHHGGSQ++MEPcuaZZ/JWdXV1JF599VXmkpqaGhIHDx5kenqatyoUCiRqa2s5nueee47x8XEWL17MxRdfzEznn38+l156KYlnn32WEE4V5YTwNiorK6mvr6e+vp76+nrq6+upr6/nggsuIBxfZWUl9fX11NfXU19fT319PfX19VxwwQUk6urqqK6uZmJigr179zLT8PAwBw4coKysjCVLljCb6upqEseOHWM2r7/+Oonq6mpONZWVldTX11NfX099fT319fXU19dzwQUXkKirq6O6upqJiQn27t3LTMPDwxw4cICysjKWLFnCbJYuXcrpp5/O66+/zssvv8xbvfTSSyTOPvtsTiWVlZXU19dTX19PfX099fX11NfXc8EFF5Coq6ujurqaiYkJ9u7dy0zDw8McOHCAsrIylixZwmwuuugiVq5cycqVK1m5ciUrV65k5cqVLF26lMS5557LypUrOeecczjVVFZWUl9fT319PfX19dTX11NfX88FF1xAoq6ujurqaiYmJti7dy8zDQ8Pc+DAAcrKyliyZAnHs337dp5++mnOP/98+vv7ufbaaykrKyO8WV1dHdXV1UxMTLB3715mGh4e5sCBA5SVlbFkyRLCm9XV1VFdXc3ExAR79+5lpuHhYQ4cOEBZWRlLlizhRLZv387TTz/N+eefT39/P9deey1lZWXMZXV1dVRXVzMxMcHevXuZaXh4mAMHDlBWVsaSJUs4nosuuoiVK1eycuVKVq5cycqVK1m5ciVLly4lce6557Jy5UrOOecc5oq6ujqqq6uZmJhg7969zDQ8PMyBAwcoKytjyZIlHM/SpUs5/fTTef3113n55Zd5q5deeonE2WefzVxSV1dHdXU1ExMT7N27l5mGh4c5cOAAZWVlLFmyhOOprq4mcezYMWbz+uuvk6iuriaEU0U5IYS/i4qKClasWEFi69atlEol3rBlyxampqZYtmwZCxcuJLFv3z66u7vp7u4mcf7551NZWcl//dd/kcvlKJVKvCGfzzM4OEh5eTkXXXQRc01FRQUrVqwgsXXrVkqlEm/YsmULU1NTLFu2jIULF5LYt28f3d3ddHd3k6ioqCCdTpPYsmULx44d4w3//u//zn/8×3+wYMECLrnkEuaSiooKVqxYQWLr1q2USiXesGXLFqampli2bBkLFy4ksW/fPrq7u+nu7iZx1VVXsWPHDnbs2MGOHTvYsWMHO3bs4PrrryexatUqduzYwYoVK5hrKioqWLFiBYmtW7dSKpV4w5YtW5iammLZsmUsXLiQxL59++ju7qa7u5vEyy+/zAMPPMCCBQvo6enhIx/5CGF2FRUVrFixgsTWrVsplUq8YcuWLUxNTbFs2TIWLlxIeLOKigpWrFhBYuvWrZRKJd6wZcsWpqamWLZsGQsXLiSxb98+uru76e7u5g0vv/wyDzzwAAsWLKCnp4ePfOQjBKioqGDFihUktm7dSqlU4g1btmxhamqKZcuWsXDhQhL79u2ju7ub7u5u3nDVVVexY8cOduzYwY4dO9ixYwc7duzg+uuvJ7Fq1Sp27NjBihUrmCsqKipYsWIFif/XHvyEuFU3ehz+5hxowGKKx6F/ThcSS7pIqUgK6UJNMcaiu8IsBBmQEGgNTCFkUqcMHaxUhzmoiFCDljIELQgFGyEJ1BYTaOEcmtRVMfBblRIoQuzGhRXambmEl+Dc4cXeK3O47zWf5/E8T2traxpbXl7W6uqqXnjhBU1NTWmk3+9rZWVFKysrGrNtW6+++qpGlpeX9fjxY439+OOP6vV6euqpp3T48GFNEtu29corr2jE8zytra1pbHl5Waurq3rhhRc0NTWlkX6/r5WVFa2srGgskUho27Ztunfvnr799lutra1prNPpqNvtyrIsHTx4UMA/hSUA/2dKpZKi0ai63a4ymYzK5bJyuZwajYYikYgqlYrGgiCQ53nyPE8j27Zt0/z8vEbOnj2rTCajxcVFFYtFFYtFra+v68SJE9q9e7cmUalUUjQaVbfbVSaTUblcVi6XU6PRUCQSUaVS0VgQBPI8T57naWxubk6u6+rq1as6duyYzp07p9nZWc3Ozmrk+PHjmpqa0qQplUqKRqPqdrvKZDIql8vK5XJqNBqKRCKqVCoaC4JAnufJ8zzhyUqlkqLRqLrdrjKZjMrlsnK5nBqNhiKRiCqVisaCIJDnefI8TyO3bt3So0ePtL6+rlOnTimfzyufzyufzyufzyufz2thYUH4l1KppGg0qm63q0wmo3K5rFwup0ajoUgkokqlIvx7pVJJ0WhU3W5XmUxG5XJZuVxOjUZDkUhElUpFY0EQyPM8eZ6nsVu3bunRo0daX1/XqVOnlM/nlc/nlc/nlc/nlc/ntbCwoElUKpUUjUbV7XaVyWRULpeVy+XUaDQUiURUqVQ0FgSBPM+T53nCXyuVSopGo+p2u8pkMiqXy8rlcmo0GopEIqpUKhoLgkCe58nzPG00Nzcn13V19epVHTt2TOfOndPs7KxmZ2c1cvz4cU1NTWnSlEolRaNRdbtdZTIZlctl5XI5NRoNRSIRVSoVjQVBIM/z5HmexrZt26b5+XmNnD17VplMRouLiyoWiyoWi1pfX9eJEye0e/duAf8UloAtZtu28D8Tj8dVq9WUSCQ0HA7VarU0GAzkuq6q1arS6bQ2s21bYzMzM1paWtLevXs1HA51+fJltdttOY6jxcVFnTx5UpMqHo+rVqspkUhoOByq1WppMBjIdV1Vq1Wl02ltZtu2xnbt2qWLFy/qyJEjun//vi5duqTr169rz549WlpaUrFY1CSKx+Oq1WpKJBIaDodqtVoaDAZyXVfValXpdFqb2batv2LbtkZs29Yki8fjqtVqSiQSGg6HarVaGgwGcl1X1WpV6XRam9m2rZF+v6+Rhw8fyvd9+b4v3/fl+75835fv+7p9+7bwL/F4XLVaTYlEQsPhUK1WS4PBQK7rqlqtKp1OC/9ePB5XrVZTIpHQcDhUq9XSYDCQ67qqVqtKp9PazLZtjfX7fY08fPhQvu/L9335vi/f9+X7vnzf1+3btzWJ4vG4arWaEomEhsOhWq2WBoOBXNdVtVpVOp3WZrZt60ls29aIbduaRPF4XLVaTYlEQsPhUK1WS4PBQK7rqlqtKp1OazPbtrXRrl27dPHiRR05ckT379/XpUuXdP36de3Zs0dLS0sqFouaRPF4XLVaTYlEQsPhUK1WS4PBQK7rqlqtKp1OazPbtrXRzMyMlpaWtHfvXg2HQ12+fFntdluO42hxcVEnT54Unsy2beH/B0vAFjt//ryMMTp06JDwZKlUSs1mU71eT/V6XUEQqNPpKJvNaqNCoSBjjPr9vjaanp5Wu91WEAS6cuWKbt68Kd/3NTMzI9u2NclSqZSazaZ6vZ7q9bqCIFCn01E2m9VGhUJBxhj1+31ttG/fPl24cEG9Xk+NRkPdblftdlvT09OaZKlUSs1mU71eT/V6XUEQqNPpKJvNaqNCoSBjjPr9vv7K0aNHZYxRsVjUpEulUmo2m+r1eqrX6wqCQJ1OR9lsVhsVCgUZY9Tv9zWysLAgY4yMMTLGyBgjY4yMMTLGyBija9euCX9KpVJqNpvq9Xqq1+sKgkCdTkfZbFb4a6lUSs1mU71eT/V6XUEQqNPpKJvNaqNCoSBjjPr9vsYWFhZkjJExRsYYGWNkjJExRsYYGWN07do1TapUKqVms6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560 420 12 13 14 12 13 14 15 true true 0 8 8 0 true false 1 17 17 1 false false 2 18 18 2 false true 3 19 19 3 true false 4 24 24 4 false true 5 26 26 5 true true 6 29 29 6 true false 7 34 34 7 false false 8 35 35 8 false true 9 36 36 9 true true 10 40 40 10 true false 11 45 45 11 false false 12 46 46 12 false false 13 47 47 12 false true 14 48 48 12
2020-07-19T22:16:31Z 2021-02-15T00:09:52Z
application/vnd.mathworks.matlab.code MATLAB Code R2020b
9.9.0.1444674 fa3e2ff8-6037-448b-a212-0bb240f9aa96
9.9.0.1538559
R2020b
Update 3
Nov 23 2020
869446053