Вариант модели сегрегации Шелинга, когда анализируется сходство костюмом. Общие правила работы с моделью - переменные плотности и сходства со мной - если рядом со мной больше допустимого не таких как я, то ухожу в другое место. Use whenClick and WhenSpace for testing В модель добавлены процедуры сбора данных, когда agent_data() получает на входе агента и возвращает списком его характеристики Это не только характеристики его самого, но и его окруженияdata:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAIABJREFUeF7tXQlYzdn7/9z2fY92KQzaKSElKQlRyBKyr2MdzGDW7MYyY9/3JSJZEklla5FChUraSPtet7rVvff/P6fJTErd6pbMb97nmeFxz/Kec97vWd7l8zK4XC4XAPLz81FQUED++q+nBL+tsFRORFBMAaz15XE6MB0DesrhG3UJnLyXDkEBBoat8mnVPERGRqJ/6V68fs8Eh8PFYH152t7tyFwoSgtDRkIIWlN9oKys3Kp+vvLK7oz/RQEMuHYSU7RCcOJeOvr3kMWZUBaG64tAWpQDYSEBJCWXYKj1eB7WloHyXo7gSCjUK3vm1HF8bxiGW09zMdJMCWvOpVGhWzdWBbHvmejaWRxJPbbDzMyMh37+tUXaTwDT0tLw7NkzmJqaQk1N7YvOKIvFwsVdC9FLMg+phSxUZzMgocqAlIQgwqLzMFuHAaPOIjzxyNLsh0KHbfXKVlVVIf6CG2TE2JAWE0JxBRcMBgMyYkBcWhnKRTUxe9Mt+m/tTUVFRQgJuAYZZjQ4IgookTLCcIcREBAQ+MgKh8PBtctnIcbORx5LEpOnzYKQkBC/WW1cAMnpTBZLTEwMlZWVEBYWbnLCSHlRUdGPjMZERyEjeD9G6VVCQUoYSZnliClSg1RvF+gZ1f/6mUwmJCUleRpoRUUF5a0xIoJAiPD+KbH2jYRPUjGmSxrgtXg2KioyYKkhAohIANWVAKcaEBEHqqtq/t4AVSvoIm/8sXq/kDl4n/IWIQ/8oV50E3GPK5DNqoTJQElweszEQGt7GBgY8DROfhZ6EhaCrFtLMNRQ9mOzZSw2bkezYDbzJHr16oWQB3eRcG0lxg/8+3pwKiADqv2mYeysdfxkp3EBLC8vh6GhIYKCgnDmzBksXrwYMjIyjTKwdOlS7Nmzh5Yhd8o8v6UY1KO+kEQmlqBY/1c64Fo6e/YsHjx4gMOHD0NQULDRfsjH4e3tjbFjxzZa7vjx4/QjWrRoUb1yyqccwWCVYl9EKQZpisBERQTC1gsh1M0CEJdD1eNjEDabBIZMZ5TtGNJsAdTQ0KB1ygvSsHeSKzhiopi27yjUNbWbvYjp6ekI8z2BioQbkBWtQhGUkS8/BLPmL4OEhATP7V35bSjse3GQVVQJVfmajaKkvBocDhCQpgHzCb8h4+oU9NWVBrhA7QZNXgpMFhuRMosxYowLz/01UbBpAZwyZQoUFRXRtWtXLFiwAAcOHMD06dNx4cIFvHr1Cr1798bTp0+hqamJPn36ICIiArq6uvS4nTXGDKPVniGrsApvM8pga6SAgtIqRCWXoqeGBMKL9XDwRhwVwsLCQrrLlpaW4tChQx/5vnHjBuLj4/HmzRsYGxsjNjYWZDEOHjyIlStX0n8rLi5GWFgYhgwZQtuxt7fHkydPEB0dDVtbW5CdMiYmBlJSUpg5cyb09PRo+0QABSpL68yR+CJvcNJfgf0+ChksEdy8HwbNQWNhF7e9xQLY2tUiH/L9fS4Y1pNTrymfeBm4rLta5/gkhZKSkvD+/XsMGjTo48dMNpExIifhG5mLb9Ql6aOLls0sR2kFmz6Owsv7wVkjCsGxhaio5GCokQJYVRw8fl0IKTFBpFVrwO23660dUm39pgVw69atYLPZIK+68+fPUwEkQunp6UkF8OTJk5g0aRI2bdqEO3fu4O3bt3QHdHd3h0WnVNj2YENaXBBllWx4BBdjUA9R9NGVRkhcEV5lCiEsryuta25uTgVbVlaWtl9L9+/fp8J07do1TJ06lX7tROAsLCzw559/UgG0sbHBxo0bcfXqVbi4uGD58uV4+PAhPDw8sGzZMroDkh0zICAAq1evxoABAz4vgPM9keKzH2GlXHQXTYCeVs114Mr9dEiVlcG+U925b+wIrt0BW7taXsc3YZDwXbC5XDxLLMEQA3mExhXR3an/N7K4VTYOE6Z/S7t5HHADb/13waE3F0KCDNyPLYNMzzEwtp+LC+fPY476TSqAI/oqwXB5BLp2Esf1dXoIiy+CdicxROarY6RuLl69Y0JOUgjfnc/FLEtJ2BrJ4s6zPLxOq8Bv59+0dkjNE8B169bRRSPCMG3aNPTr149eSD8ngGTHJI+OicNNMFHrGX0JaiiJ4eLjHLhaKiPibTHcbFThmWKE22HJUFJSgrS0NG3zUwHcsGEDvRP6+Phg3LhxdBcju1xjAjhw4ED60dy6dYsKLblXJiQkQF5eHn379sWYMWM+K4BCho44G5sOV6OiepPM5nAR4PsWdip/PxzaQwC3zdKDkhQwybIzmBVshMYVYoihAlKzK6jQhBV0h92CI3gUdBcKse7QVv77Dl47CL9EeYxd4wXvDXaoKM6EsCCDvsQVpIUR+bYYeSXV4HTqBy3jETAp2Ae/53nooiyGF6ksTLJQwJWQbNgYyiNFaTpGTVrQPgLY2l7IruOx/ydoSeTjw7tkyGaIAdrVKK2uxrG76Zi24Ic6ux3pjwjO/v37P3Y9e/Zsnh8lzeVX+bQjBFh1j2D/lArYjtXD/ZcFYICBIYY1+ruHrwqQkF4OSREGxkswIfiXDFYr6iJvXMOPEH7tgOc2TYKBdAqqqrnIKqrCqeBKrBgmTvkZN7ATHlQ6YOTU1Ti6xg6y3CwM7CkLDhf0SPV/kQ/y4dgZK+A2dy569dZHQnwsGNG7kBlQjoRSJvTtVaFivRaWlpb0jn/uxEGwsqKR+sIP2pkySJEthayODhgatlixcnWTD9FmrEP7qGHKy5nYvvEXbAQTW7mCmLzkJ6iqqjaDz7YpKvPgd4jH367T+O0MDkY49sBx/w+YbaeOLd4ZGPCNNKx7S+FUQDoc+iqB8yIZKlI1j6RSs9lgmkytxyB5BfNLAMkVxGPLZNjoyyCnuBIFWRzIdxYEmyGKLKYwlu68C6I2KfRyhN+zPEwboorHsUUIjS/BKicNHPX7gHn26nghNBoWzstreOWyscPNFSJy8li8ez8EBOo/+h7eu4nUjb9BYNRITP7u1wbLtHJl2kcAa5kMDg6mR/k/9U2tHADfq8fERKNLyjbklVTRy3fAyxIM0ZOBhpIIbkfkQlW7J6xm7G6yX34KYG1n4Y/u4t31vRicUYUdQiyMXbAJ5gMGfuTlxDp7FGanwLirFFhVXJy8n4/ZQxSQXVRJd8VUXXfYDLVtkvd2LNC0AJKJJPczfipMyaOAKEPJV8sLEZUMuRuKiPCmHOalzcbKhPmdxZPgIOhJJKDkFZDNZUFRWwhsrZHoPWD0R/1ddXU1SkpKQP78lNpCAEkfKSkpCPG+guHTZ0FBoa4FhmgCHl3bD21uFCoLAeYHLkS7cfGeo4ueBn0wfu6vrZ0aftdvXADJo4Bc3PlJ5I5HXsq8Cl9t30QIu3Xr9tndM/1DGgICg6Cvrw8TExO+sBwTfA1Ffx5AkaYWOk+eB1OzfvXaJeMhdvT2EkBeBvY09AHyvE5BJTEZT62GwG3hDxBtQmHPS7ttUKZxASQqD16tErwyRxYrKyuL1+J1ypE7FdmN/0lxcXFICdyJHuKp6K4mgdJyNu4mSkHJYCwshrVeYfrhwwdqRenU6RP9yz+YyM3NpWqef1Jb7YC8ThzRHT54cB9OTs68VvkS5RoXQHFxcar24CcRlci7d+9a1KSOjk4dMx/Zffz3TMTI3vWPQKLwfiqzGEPtHJrdF9mdb1zYB12jIXXMZUSx/SH2IQwHOUNdXf1juzk5OTztgC9fvqQ79KdElOukvaasTM0eSMev0PQdkBzB/DZCZ2RkUF1ec4jcdzp37lynysUzR+DayRfn7mdAr4sU+ujU7I5B0fnEigSmsDpGLPdoTje0bGhoCMoerkFBSRXkdAdRdUYlRBET7EMtOImKbpg+YzYtW1ZWRvWMn9KnOyAR6h2ze4LJkUa/MSvxMi4RSp06o+j1dXAKEyDbZw7mLv6+2bx+5RWaFkAyQLIT8vMRQtokC0J2MF6I3P8aejmnBu6EgcgzXAnOwriBnbHnTg76aotiUC8ZHPdPR2c5YVituMtLF3XKkB1a5eUqvH5fCsve8h/toXtuvsdSR02czZtAldnk8UHMhw1RQwL4dFd/FDKrqVKeKJCr2VxceJiJadaq8Mqzx/SFPzSb16+8wt8CSBwPyH9fE93z88FQzgkcvJ1G1QxE7eA2WIHex4hTaYpAHzgvqO8qxcsYr/5qiclWdXdcUi/+QxnkRl+AnJxco82QU+PTI/XwMlO4WkijuIxNzVyEcooqqTXiNnceJk6azAtrHbaMr+8tpKdnYPjw4bzqQP8WwA47qiYYO7Xre5QVvAcj7wUEkoQg30UQFZJcVKgNh/P0VS32OD6xVI9aGfb6vMeKMVrUXNVTU5KawsRHXYGKikqzp+zIamtM6SdArwjElEZ2w3c5FeilKYnYLps/2qib3fAXrhB44wwSA/+Eq0XNR0k8naAyEJIGbtT02Qh9/QJYe5xfOLYLRnd8EKutgR7TVsDYpNGBN7lk536yhbMRB2wOwOFyUVHFgbSYIC4HZ8NtV3SLlOlnfnbAOEMWkrPKqR2WHMHEsiEjLoRC86Po0aNHk3x1tAL3/G6h67utUJGr728Z9AYYsfZeY3PFfwG8eeMaxPNC8CY6FF17GKBS1Q4jRzny/SHT0EK8ePGC6gr58XL3ObsDgkmXYDt9A345dB8bfl6JqCOjEIcBmLxsV4sE8EWoH2KvroKtnQOO+yXDfIAlBN6cwbM8FazY2boYlC8lmBfXj4QA8z29AmUUVKK3piSNtYlLY2KBgwbOZzpg/pLVn2OPvwJ4dPtKjFWLhJjI367d5Cv3jZfEmNWezXKc/FITSvolVprXr1/j+dMQWPcUgffTYgzULEEBWxGdug+gjw9ra+tmsUjupbt27UI3uWKoSLDg9ZwDS2NNqJY+wDvp4RCS7ITRo0c3q82OUDhgY18a4zLTVg0PXhYiMpWN5SMUsP9WGpaM0kS8yDD0GbOm7QXw4YP70Er4id5riHOjyV8qkfA3RTDWkcYDlgOcZnw9r7ydO3dSh1ciOMGP76OvaX+qDSCOnkQf+SklJiYiPuw6epiPprtwLRGH2uq8eDhNXwmiNCeKdA0VRdzyC4RGZ3kYm1nAy8uLupp9jXRywxTIlL2EAANQlhXB8cA8TLWUp/6eU61VkKzjDhuboW0vgIFn1sJc/An1nDXqKg1xEQH6Ei2tqIZ3WA7KqwXx3ZGXX+Mc88TzgX17oJp+nPro9eo/CmIoRU5BOcoznkFdURRSdgfphbyhUAMSt9JQzApPHX/hQsQ2HXhlD9TKgpGWyER5GiDSg4NSGSP0MuqPEa7L2ucRcufUL7CUfIwb4Tl093PYmopFQ6XgatmJxsamVShg5uZ7X3i62q77U6dOwUXyDFUJLXSoiQWprOIgOrUU6opiEB95qY71pO04+TItpybGIfzgFnRPTEXIIFssWvkTL4zw7w5IYjZiz0xAUlYF5CQE8SqViTH9lfA2oxzllRx0d9oJO/sRvDDVqjLEzhwReAkSzFhUimtDRX84jIyMWtUmL5VJv7lXnKDdSbxe8WP+6Vh2JI6XZppdhuhuAwMDaTxMc4KTmt0RDxWIcYGEbjQj1rlGAEnAzvsXPihICoFuD31kipvDycmJhy7rFklJSUZ+RhIOr5+F3+R6IlImD5ndreE8cy0NbGprIvEQ3KcbaMxJLZE7qV+qKqasOVPHjsxvXkgIQtWdSfT+m5HPgkUvOapDJBdx4sj67SH+CiBZszi/ndARjKVOGC9TmSiS6gM5w0kYMKh5DyR+z0Uz2nNn+N/w4Kqk7qZ6qVoiOq/HySIwnXGyRccG8cQI3vIrZO1Hw7KdHCCJ10r8aWcYa9dEeokK17zEMwtYkJMURmCJFVwWrG/G3DSvKPn6z68ywtgByjS+QkyEAXERIQgwuLjxWhyTf73VvAYbKU1szyH7nTGwa30nDBJvIz/yBA2n/QrInRGwsS9Xp7MYjfmsPT7InY2E4L2sNoXL0poY345OV49vgr1MAA7f+QCHvorQUq6JRSamMxLxJSMlianbI9p0GBf3r4NM9m3Yrw3C5u17sXbmYISeX4UcpdEYO5unOxFP/N04vxs2wtdpqOuHPBasDeSpojw6uQSqCqJIgCkcF34V6+bOKPUcwiUYKSTiSkK0Ji6A7BrXwnLQXV0S9j+FtenRxdOM81Ao8MImmAsHYL/veywcroGui6Iwa4g8fp3YhXrLyEhJYPK2SB5aalkRogTPzMxEaWYcOouVIDhFGCP0gZhMcXQ3HEDvZw25YrWkN6+tLrDrmov0fBZFmzjolwlbAxmq7vJ5mouELDZ+Ov2qJU23d52/BZB4ZHRfEo2pg2Sx3rULVSRqq0hi3ManX4WKgISIfrg6HSGvC6CmKILKKi6mDlHFxYeZFHBIrs9sjJvxXZtOMBFCEqdMPGRiop6jj2k/6kVEdIH8VDL7XNgDa6FruBqaDe3OYjj7IBfj+ytQgSS7f1BhP0xeuqNNx8qnxt0ZvhsGcRPTclHOYqOsgo2JVp3pkUXQDHoNW4bRrjUBz18DhQQ/hji3ECe2fYspDC1EcPLB7N4NA8euoggB/HYp+1JzQu6bf6x1hYZkCRLexKNzgQQkunEhKCGBVAFjzF+9rUlvnS/F+yf9ujNevHjBLSnMwYtL38EuWwmhrHxkddfGxKV/Qlu7+RgmrR1YXGwsUiJvICH4PMorytHFwAbVna3qxQ831k95WSlOTBkPNfuRcF6wpLUsddj6+Xk52PTz91hVmI4ryvKwnvNjk4BHlZUseJ4/AVZZETS7GWGYffM9xvk4IX/rAYlz6PllC6A6wBJ2U9z42AfvTRFTVcb12einUzeyv4rNxeUUPcxds+9jYyQaLeCWJ1TYceAwhJGO7hjjMvWruC7wPiNNlySmwmve3hhmb99k/M5dr6PIDduLMf2UaMMk7PSQfw4c5u+BSf/PmsuaZqLlJfiniG45D3/XvLRjDtSqo6AkQ2DgAE0lMTx6XUhd4mUlhFBsupviCxJHgeSrC2D9TV28Ov+oIsjb7sBg64aRrPjB49faxj1/P2i8XQ9NpfqwHS+SSqEw+nQdpLKWjpOY5p4HeiAn6gpYFUx01jVDlpgZlixd2lCTHUcAS0tL8PqwLZ4nFWOqtSr1FM4trqLOmkfvfsDcYeoI447C0Anf4fR6Fwzvmk2RtjQUxaiwZhVWQkJUAI+TBDH+t6BG5y8yMgLlyYGoKklHNnTgMG7Gvz4g6PzGCVBlJFFErJhUEmogB+IoklNURRFcw6rtMXRy65xFiBYg8tiEehsDWYxTMRr4dv2ZT9el4wggMchf/rEfPuQwMcxEAaFvyuD9go0/XWXx4GUBhZu4WT4BPQ37QyV6KTILKin6E9FdEgEkL0ACMzawlyx8uQswceLEBoVw2/eTMccoo47LGHl0FaqOw7jZfAVfbOkm0ib11k/pBlV5EUwerIJHrwpxMZyF5cOkKTZg324yeFbeB5Zujb+cMzMz4Ot7m+6UtQhj/2TWc+9KGAiG1sC45bFgqC2FkNhC+vgjDiqRiqsx3GHkP6t0HAEkXPldP4eIGzuh15mDwrJqhMeUQFtLDAwhCSiqaGHm+us0Yq1nyo9UCaunJQXnra8Qk8rE24P96BdNHCECRZc2CFx5/dIxWOM8BBkMClfRWU6kBpyRS0AaOcgz/B0EWevfSJePboQR+zbepJfBoIskLocVwtlMjjqPjO6nhAT1HzB8ZMP+iMQF7bn3eqhzXsNAW4o6Wdx4JQp10wmwda6JDiTk+YMh3Rhm26nR0yk1pwLGXaVxOjAD021U8ZJhA/PxdRTyHUsAySCIiiHo0naU+96EcZUEHutJodvwtehravpRjXL0N1dwc19ARlyQ4uOFvylGeRUHzIpqiCn3wqz13g3K0KGVVpDg5GOUmRJSssspSCP5k+ycNoYKiKi2xuDJv/wb5Y860R7etwMyBQ+R+yYJ3GQhFHUph6zuQGj0tsKEqXM/O+5zvznCWa9+6Cl5xDyTXQTbkRNoXY+frIGKPLoxRCaV4twTDva7ycLzcRa+c+qCq3n2cFtQ55jveAJYOwsRIcHICA/FqGUr6+nvsrOz8eJZBAqe7EbU9SQoCotAd4QCxM1/hJGx8WcDhrbP1oOqHAOj+ynjdGAm1l/JgNfq7sgrrsQwE0U8ZQ2E9dSN/0oBrB0Uu7oK3vs3Q9L3NtLGTMKchcsa1Y9eOHsSo0TOwCskmzo91DoaE/zA4rJqsIUVMOv3h7SNgLu3EOaxFkaagihiViPiVQl0uoihWkgGQiJSWPC736dairYTQBKwnZqaypeXVWMSceaXdfiQnIS1Zy82KTh3rhyDUOxBFJVVw0hbCklZ5TSHx+v3ZdSDRm7EMWrJ+I/+noHoWzuhW3YLZwIzKKjoH7ey0E9XAhY9pXHodho9gcxWBNcBjgrxOQLxQG+oZnJwWo4Dy6nun7va8F8AHz9+jOqEyxDODqEeNndjmFA0GAc9y4nQ0dX94mvr5XUFGVE3IfQ2AsalCjhengy7iYuhqTf4qw2LbMtJ9btzG73SN+NmeA4FNfcMK4ablTyEhRh4n1MBIRVTuK07XY+F0JAQMKMjYTPv2/aLiiMYJ1nXZ8FMt75T5t03ohix6lqHcWwI9r2OR9s2wv6PQzDp07oQzrYUgI7QttcRd6QmxUKV/QrM1wwIKXEhoMgAuozEIMe5DcbI8Mg3f3fAG4dWoQc3hCqSycOApKeKSi6hrkLmPWRxu8IF46ct5JG3/4p1pBkgFpebHvugcvEyUrpoQmPSAgy0sGwti/wVwK3Tu1PdHImJSEgvo2jsBOb21btSKoCRpfqwmvlV+Km1dmL/tfUJwheBV+aThzt/BfDi724wkHyL7MJKEPvto3gWhhuJ07wgRA8UyJkEx4nz/rWL89/Amj0D/BVAEqdwdNN8DOnGQl5+BZAjgDyJCiipdkE+WwHfbfVoMgNSs4fAYwUSvLP522HQM7eH84zVVB1AELeOHvwTb0IuY+iUnymozn/UrjPAXwGsZT005DHyfQ+hX3IudsrKw23xT+jduyY70ZeihIQ3kA2bS2HbVJWlwK5kIauYAz1NMfpaf8AehyXLV30p9v5X+20bASSzSWBrz509i8VLlrQLLkxTK0j0kqG7LGHaTYZGrtXCo5H8H1Z68vAocsWcOXOaaua/3xuZAWLFOntsD0Qy/JGWkgBlNR2UdLLHzNlzP4fX03YC2BFXihjkVzppUQEkBnNCxJxEMfrGX28xlFtHHOuX4GnnKmcsMK+fYep2nCjsl3vWw/cG0H4CeOH0EYjnBOF11FPIK6lBotd4OIyZWA92ty0nbv0UXWqTJEpVYo4jMBrEk4bksqsecvaLeIC35Xjbs+1L547DXugcVU4T+DmS5JA4JBBPI1sjRQSxHOA8ox4EcfsI4O5fZmGOQUq9+Xj4hg19t3M002Z70NU/58JePRFcSU14+kXCwtwEGsIf4POChYmbgtuDhX9tHz5/ToOpwjtUVLGhLCNC9b89NSRpfDaxGyfnC2PloXphse6Mk+vsuCSKS0J7MCxGzKBpWflJgQH+6JW2gcbnVlZzKGIAIZIOtJuqBGI4gzBm/lZ+dvnZtrwue+DmxSPYtO5b+D4rwJwZk7HSRR99x/0KA6O+X0swd7vMVXM78T32AwZIPsHzpBLqwT7/VBFW24tSmBbNTmKIKu0Fl5X1curVhGXWdka2z4wuizFkpGtz+/9s+Yfnf0JfkRD4RuRihKkSVUoTkG4ZCSGc8E+nXsxz9r7mW3+fa4jkJyHOESXFhdAQL8DWo74YbNQJo5wn40FkMk1u0147cZsP9gt0QMJig/ZPgrAgwOCyEZ9chr69pZFfXIX3eVVw/dkLRkb1HD3cGdlnrbgkIJ1gIPdQl8Dz5HJYf/+QYuF9joihOSk5GXZ2do0mcCH1rxzZAAf5IOpWT3LUzj6ehynmIrA1kEbchzJUCKti/M++7TJlJLF2Q8A5JLHzf8LX+iUggW3Pwh/D+8AarODIwlO0CDpjlsHeccLnHBLcGbnnB9MkP+R/Vwj+sY0qjryzx4qV9eMDHt27jpgbGzHdsgb8JzyhGIIaQyBt4PrZ9Fhk57m5xQFFzCpUVZQi+UMFBhjIQkxYAM9TKmA3/yAGW9u0fvT/tfBxBkgS8aFDh0JLS+vjvxHhOH78OI2PJlnu25KIv2aC1wWImVmgr6lZY125M5Y5deMGvS7HnXU6iEophXl3GQQIL8R4l7oxFQH37kEp9hd0U6nBXPknPU5gw2rFnc/umiTeI+LpEzy94o6JmQJIUKxCmqEdxs9c3SF0hG25GF+ibWKTJ697Zf1REJdWQk4pF2IffMFlFUBj4DyMnLLiS7DVUJ/uDP/1fbhP4osgLioAESEBCCnrY8HGK/UKX9sxGRJl8TS4JP4DE311ZWjaeOLSPtlKBVcLHDFtXuMDI27h9w/8CRFDU1g1E2O5o8zY18DH1bVG9DpFcBkJaDih25F5FLbDjzkSY2es7CjDcGf8aa3H1ROTgeAwecgO3kBTBTSEMn9hlQFV2M4Zpk4jnQgY9dyh8hSfxNVKBa9giX4u7nwZ2O7du6ld9ptvvvnYHhHenTt3YPhwB74AThKtfXJyMnQbcJL9mjGbyYR5uDtgdG9Wg2txV3AxnMeO5cs68aERd8aTa17c16GPMWPrrkbbO7XJDToCr1FZzYWwIAPnHudjhrUixYQmLle7Y4wxQJsLgazHKGdVo0TKGKLaNpjoOr3ZfBKFMQG8FlC3gpaWNgrKBZEXdRFiAhVQHzAPI1z/yvrd7Jb/rnD8+DGwInZCTLEb2JrDUVJUACVFRSTf3w9THRH0mHoJ3bt3b0UP/K9aWlra4OZA8u6RfMq12DcX3B0xpjcTlx5nYeKgzjSD6INXBRhpqgR/4aUtAh/l/2hoi7wrookKw/vEVmhznqI4i4VLcqONAAAer0lEQVSyFIClVQW2gj6S0wsxrU8p9DRrwCFriYQ7eqQYY973jQv3p4O7ssaQHvUE3bT2CKnNLuRbMgIus1rvNHD40AFMVbxC0UvdbNQoyjvRUwZE1WQx+qC/p0PpBUlo5JHvh6Kn8UDoWM5BcQkT8nKyeH3vIHKTnsLAZRdGOTrWHLcH5sNKOYE6AguRgQGoquagkiTGMd7LlxOETwLJuwDWdvg+OQFPDm6CUfJ7ePbsi+9/2QTvzSOgJVmEMhabar8JjAYx8hNFcxGTDZUJV3jNHUa78dzoiJHf1A8DJL8Fii6HIw/5NAJ8LqEoOxEWI2d/NPeRneLSyT0QEaiCidVYKEUtRXZhFUULIEQyIpWxOLj7ogDTdkbzaY7500xQYCD65myAx8NMjDJTps4UJCqNYDsuH62FyyWumDGrxpni1s1rSLuzDhOmzcfPx5/i2yXLwAhejj13S7D/alRHQgmrL4DkCX3k8CG6GMuWLadbe0N09+5dDBs2DE+fhqNL3Gqq0+urK43olFI6MYN6y+HkvXSawORg4hCsWvMzzytxwX0UxvQuo5M7y1aNOg8ERudT+y2vR0jomaWIiwwAk8WBmJwmCvJzoKMigdQPOeAKSWDqej8UXHWGsKAADU4nIYf+L/JhZ6xAXbaW/gUq/uT/rycpcZEYPnZGnbk4fuwIZISYcJnRPi9KYq0K3TkQagqi9L9aIvk4jLpKIdt4/0cAzAsXLqC8MB1GatV4W6EN815KiAv1hngPZ2Rk5WDy5PpJEX18biInygsKeqMxxqnmjkgAoK6e2oFXT/yw+dTjttBY/C2AFRUVOLl1PowlYymkAt1tYopQKm0Cu5lboaRUg6j0KZF7yaOdQ5BdWI4hBvLwfVGOJ4nlWGInRQWHQGe87fIrbJqBFX3rwCJYK8eBzeHSfGrEVEPunfmlVWD2Pww9vaZ9C4Mvb4IxAvAytRT6XWrGQwSLRO2fD+di2npfhOwcRMMxS8rYUJQR/pjD7ei9HCw/HEPrRPruR+KDw8goZEN/4BiIcYuQmJoBTsEbJGaWY8PFRJ4/rNYWPL5UDxMsOtFkgGbdZajhX11JFK/eMaG/IPDj/TAhIYGuF8n1fPrUCWqBMDbpg7Nnz2LatGkNsrFj6waYca+joLQab7O5kBBkQVlJHslpuRhv0Rkyzt5QUlJu7RA+rf+3AB7YuBDTv4lvsAPPOFXM/Pn8Zzv3PrcPIb4n4NCbgSdvilFZCGhqi+BpciV6GFpgxaZTzWKcHCHpfusweeZirD0Wge++Ww3Gw3nYfjMH+7xjeTpC9uzcjNla96gQk4Q5hIjCnejHXnCHwmLCj7i1fz6Soh9gyKQfEBD4EDOd+uPU4T9gMXoR+o6qQXO64/EHLIVuUjwVS70aOzbZdUiA9sVHWVh8KLZZY2tN4cPf9qYpZJ8mFNN4XAJ9oaUkhmdJxTBb9qhR61VT/W7bthWLde4iKCYfQwwUaPGMAhZ9DD54WYzhP4fWif1tqj0ef68RQIIw/95jLKrZHHp8EuQkAQEG1R2RnYFAejHNDzR5eQ24sh/JJ06hK1cYsrPtoG295LM7Z2MMEjVIVloShvQURFSBGvrqSiE15j4EugxHUXEJnJ2dmxzf/l2bMUPzHg74pmHRiJrEMbWT+4o7CNAeBXLdyHr8B7qbOsAnPBuTzQTw7Hk0uth8R49bYrY7f/48nESON9hfcE5XDFvU8G9NMtiCAvG31qM65TY09G1x8XYknMaMQt6zc8gS6oUh81vHB5EBzt1JFHO6logsEJv9vjt5+OF4VAs4brJKjQBeueyJ4TiEpMwy6KpI4MDdXAp35j5BjdqICXrSZaYbZsyY0WSLjwIDkBofh6kLWw7tS5LekHy8JOHzpYvnYWhkgl69eoNkI+KFB8LkbV8fmBVsh7iIIOLSq8j+h55qIpR/n9LRmDBjGS5evIhJkybheWQ4YuPfwtpyIFQ1uuDIkSNYsGABLUvMWhOkztKcH/Ps1al7EXkIEOV70Ac1jFp+rsk54UcBEtNy8OBBSGTdhY2tA7Z6RGGZqwUifPZB0WodUhLjYWXjgD7/yM9LvNIJGurAwXYwNjZplA0CDir/dD41MhAhJGEKNcBFytjtm411J9skzVqNAJL7n/dvVpAUqqSgkBmFVcgqYkNFlkGPLSZbAk6/3v+q0Efz8vJw9/BCqIgWoc8cTwoU3rdzAZJfh0FUbzps7ex5kgsCPC4asoimfcgvqab+brWPgEdllhg+nT/K96aYIYp4f39/9O/fH5VlhSgoLoMQuwTd9Pvj+vXreO21igpNvoQxTI31UMYWRfitg1CWEYKMySyMa8L6QXwBPNeZYVQfGcTmSSEp5T1GDuoJlGfhTqY+xi1pk3Dav++AIY8fIjLkHhSyvBH9tAxiAoJQ0xNCvtJIDBgyAtZfGepoeHg4yLFi0V0IGw9cQ3EZGwcWm+DUEyH0MzeniQN5AS0nFpMT611hKJsGvbm3sXPnLqxy1kRUwBmkdZoGlyl/w5M1JUQt+Z2k4VJTVUXPXr1AMnLWWm58fHzoNcHS0hJkd7y3eQB6aUhS3SkB9SQUEJ2PoYYK8Myxx8xFjYNPslgsXD5zALfPb8e5gCQcPHwCbjbqmLvCHfbj58Nt5twW5UhuYsz11TDvkuLgsXQRWHl5mHL8BHR7f72wFb6+vhgxom5+OiJQ5O5Hjnhe6MGDBxQyjsDBVTMk8fJdKWb1r8bpJ4KwHDyEepaIidV30OClbV7KLHMxQReZMohqWUFAVptmcBfKDQejKAHqejYYtagGN/vcL8PhbFBZr0liDAhX/JF6xzRGoaGhVO3SS0MC3l6eCH6Zhe0rxyK1VApyyloUUqUNMro3rIgmXwPZ8iUla76k/3Uiu2m/fv2Qn5eH9PQP0DeoSYNFHihTpkxp0+k5tNISzkYC8InIpcmECN15lgd7EwVEsfrAYtpO+m/H19hiUl8O9vum4dsRGhQBLPh1IRz6KuGxzPc8xTyTfHcaGjUPtn9SREQExeZuA2q+JaSWCeJitW/PH2CWlWPc+AltDsPWBoP/KpoMOPUD+ks+pVam2kxWBFKOaCm8C0Zg6rwas6T37vkYppZA/068YKrYHMiIC1FvJWnHS3V8AzvQwFsmgOf3rIFCgT+setdYSUjK9jdMdfRwWAvTxh0QO9DYvw5Wnlx2hz4e4N6LPNga12QcJWCR4wZ2gmf2MMz8dg39N79b3sgK+A3jZyzHzycisWbNWpT7TsI+/2JsOffsiyFSNDHLzRfA214nMIh9FgJEo/sJ3Y0TwOh1fh11sF+HxH3C5dWT22Av5Ud3QDERATrv5Hgl9vaL+WMxe/5iWoPcd2NfRmHCQDnciRWCsQZQlJsGsa62KCsrp2bTDkjNE0Di1n1qpSkKi5mw76NI3epJdkbieED0hi4WnXGzwhWTprUdwkBYWBjMzc3rvGDJI6H2wUHwXv5NRCBFHuwdi/4WgxGSowMd3W7QzLsI3wdRmPvHE0hJ1YRHPH/+nNqCCeaNz42rMDTuCy2tLs3SnX6BeWueAOZkZ6P85jjcfJqDGUPVcPt5Ee7HVmDTxE7U8WCuvToeVY/G8Mmt99draDJIUFGK12ykFktA3mgqmCVFEBGXQv6zM1CTqoDckI1wcmraSvIFJrrFXRLn3N5dlSCUE4osyUHooaOFvLDdkDOehudx6Zg376tGG2ueAJJZPPLzOGQnR6FLJzGKMu8RUgRzXREa1ETskvKOp9oMiIjoxPpkb8Dd53nUubKWzt/PwBRrVdysnoNJk/kXUtpiqeFjReIFExQUBHt7e5w9c5omIXQcPYZaa75y4SOz1HwBJGay5Od+4L45h0cP8tAVkhAzZOODiBlGOk2Efv+2gzgjQn5vY190+39zYSe5GrMaIZIzRExEELJOXjzr9/goI/811fIZaL4A1vaVnZmG+7vcIfjsBTR/+gX9rGu8cduaLq8xpNp9EhBFMoW/SCqBYVcpJGaUQ3eWf0MAOG3N0lfTfp9e6vh5/kioDZhNXdpI7LfHsV24fn4PXOf9AOepNQ+adqSWCyBhklz+ifb8c06rbTGQw4v1MXVwJ7zPraB2a5KPQlZSiGYKH7f5WVs4TbbFML5Im2dW6FMkCqIflJEUQlZBJX1ZE9s2u/s0GA9f1N58tU4A25tb0l9c0FFcO/U75iz+AeeuP4aL0wj4n3WnAVCTV+z9EiyBZIgkGQIcHOrm3iW224cPH2LmzJlfhK9POz2wpA+mW8lRB1Y9rRorF3Fq1VQWg1fBaLjNa5vHYyOD/7oEkIRRPnnyBMWx12GipwPPp5Vw7ieH15H3oWP3A8AQgI1N+6MsnD/yO4pfnISEgjZypC3RSQaoKMlHRpQ3zeY5e8+rDiGAj08tgYnkK+rJrasiTj2dUnPKqdf6bcZCjB/v0t58fl0CSB4hxK2c2F8T377Bw0fBMDTQQz/zAfSlOGTIl8kTTATQSf4OjZEeO6ATXUSyyKxKNgqY1Rj2y7P2XtgG+ws6ugD95N5QLQJJTUbCHV4kl1DU2OtVc+DqWleDQK5X0tI1esZ/UlZWFr9wHTueAL56+RJJ4V4oSA6FhoYmMsQHYsLkjp0J/eZ1bwxh7UU1pyZmuuZ+XGOvvRQJzNoa2CEE8PKpPbAVvQpheV1cDcmgacnUykMRlVoOs8V36+RMJhmvHhyega76g6DRfzpycvMhLSWBNwEHUJmfANulnvwIW+1YAvjwng/Eozd8jAUmq0a+0kfxFVBz3I8+ffp0iIX8lAkSITiwcCu1CJF4ZhIyef1JDsaYK+PSM0HM2uLfIfj29vbGI58TmOPcH2cel2DOzKlI8JyDVIlhMLMeQ30ka+mixwWMEjyGg7fTqBeOgrQwDTIj3uAEiMBfaHGDKXGbOVB3RmxsLDf28SVkvr5HzThiOsNhPdK1WXG8zey0weIERPzuFksM7CGFuDQmDQMgFJvGpPbPNI4ORn93gR9d8b2N2NjXkA1fQN31yQYo9FeoJ4mnuJemgTEr6mUK5zsPvDRI3K0Ijp+tqQY8fJ+it7YijE364sTFGr9JNTW1j82kp6ej+s5EvMup+Jghk/xI8g2Tu2PvBff54Qfpzgjc1Jfbr3vNYtcSQckSttgGs4Htd6c6euAPuCrfpCY9co8iqhVCBFbi0etCCrbTecI1ft09eFmvZpXZtGQUDOXSoDN6B44dP4ltCy1w7vh+SJmvwoQpHeMVTBxxSYYjQcEagPZaasjfj1pgtvSnGa4SMsroqRTzV4ir37M8jN38gieP8iYm0Z0Re2AA930uCwN71rhW3Y8poLEFz99z4bolhB+d8LSQJ4/uh4usF7Uz25sowvT7GFj1lsbe2V1p+KOOijhMlwS2qc6RPHKIw4WQUI3w/5PIDi0hURd6pPZ38gAqLi5Gdsx1WI+YjLBXmbBWTYVHSCn6WthRN3ptbW2e5qGjFCIOybd+NYWVvhzeZpTXCGBKKc2YToKVJv0ezQ/ZcGdE7urHVVcUo+k3CZEgcJLnzaCLFPyFlsCJhxBIfkwacXD12uwIVkEaDfwRFRKgmbczC1mITCzFNxYTMfnbTfzo6rNt7N71O+IC9sNmxCQYDp2BjMwsMMDGvdM/obw4B1suxn42MIuoh4iXTmRkJMKfhGHBwoX0IeLp6dkgEkGbDoRPjQefXgKRvHBo93PB1Vv3MdnJFgmhHmCoWaPPhG386MWdEbrdjNtTXRJuexNpJNz1H7pR2yrJDVvYd3ediyk/emysDQKAlPb+HaqfboZgQAmeFheC0b8HnBbtapcd5OCfmzFZxR+XHmXS4Gx1RVG8+VCGtDwWvQJouvl/dhfk59wQpXZq5HWE+50Ei1UJQ6sJUDEYgcGDB/Ozm0bbIqqWa9eugRN7EhYObthz+RmWjjNA6O2TULRcBzV1jc8loW4Oj+6MH120uQba0jTFano+i7pzJ2WWQ0l3IFZt+zwaQnN6aW5ZchSeW7cKChpaGPntsuZWb3H5k8ePwkXag8bGEpAlQgQOhLxqLzzKx7w9fLn3NMofUX+wg1fBVKfucU+i3SKFxmL01PaxVpAjmIR7Ojk54V1SPKo4AhDkVkDnGyN4eHjU0xm2cNLdGSnJidzoa+6IPBP2/94xDPQcpw9z1+1QV1dvCyiGFvLZPtXi4+MhFz4PmQUsKMmIUMGrxZY58agcS/aEtjkjl7eMh5pAKoUQIXdx8pImUCA91CSQmsNCr9m32i2jE8H3VlCogen4JzV2H27mBP2tB7yx708U5mTDzX1zM9vomMVJZB8JJfyUyL+TR8anL0FSjthuJYNnIimLYK6IQl5KGM8Si9FHVwYnHlVgyZ6QJgebkZEBgjLwqVWGqDVIYPn06Z8H7Hz7NgECQTOpqsOilyxyi6soIKiavAhOBWZQpLCTaXZYvGJtk3x8JQU6liKan5M2006TavqNHJaCyxCk6SQCPP9AfIQ/TB2XY+aC7+p1R7x7Ava4oItYJrjdJiPkURAm23ZHwosHENCbAz2bpoPQj+7dAm78WTBktFGqaA15MTa41eVIDDlHH3YuW198NsCb7DjPD9hR0CGC53zkXj4exrNwZHYn+hI17yGDxxJLMWpMh4HYbe2S/XsF8NFWMwq0RDT4BG6O7CbEUjHKTAlBLMcGgbpJcHZKUgIKQrbDZuYf2H7QA1tmG8L/7j0Udx5BbdAEr6YxOrZvKyZ3votLj7Iw8a84XpKTjuRNIxoGi+/DG1VfnN79IxLDr8JcV4yiHMSlMiEnKwQ2RwByWiaY5+7R2kXvSPX/vQJ4ZFlfuFrI0ocVec0SIjtLF2UxeBZPxMzZ8xs8nm/evInx48YiISYURRVCMOmuiNxKaURHR8Pa2rpJfJxbPjcwqPQPCvdbG8dLIOKINef8Exbm72w6J10Zk4nrR39CyZ0gGInIgGmviU6D11LQdmKt+hfRv1cAPdY7YnQvJsLfFKFfD1malpWYlXRJfjqNDRg40KLBdSwqKmpQ2f1PXJbGBODRo0cw/PALzZmmqypOkaZuR+ZShIIzoVVYuOsRz/ITGeCPlMhwjPv+R57rfGUF214Ar171ohiBVlZ1dVhHDh9Gj2++obtKW9DFDaPh2LOUQvvaGCqgopJDUQKIPu91l61UadwWlJyUBMH70+nuJygAmnuFqHKIIPokyGPiOq+26PZrbbPtBXD+GH2YaLBRrdAX6jr6qGIDefH3wC39gC761hj57cE2mbywuxeg9v4g5LVNcflhGiysrCGYeAGpxdKwXnGrTYPn//hhPFS5b6DntAVnzl3ApvkWOHxgD7oO+xGjxjUMkdsmk9DxG217ATyy2hqTTBkUcHzuMHU6JbcicmlYZVSVGQa68sWkU2+q9+zZA7HSWNiaaWP71RS4jR8GVsQOpMk7Q7173zZzXr1//z4KCwuQF30V/W1dEBabAzutDFwMzoPRgOHo1q1bg8lxGpKVVy9jkP3KD+JClUhhaWGS69SOL1LN47DtBTDw7E8wFwuhfn1Cfzlr1vJ4OW8EZixofc6PhsZMsAFJbg0Lk66IeJUGRfFK6BpY4PKVq9SPrSE9IK9zF/boHpLiozHebfFHZT1R4ezfsxPdVCUhrW5IkwIS+/CTJ2FYsmQJVfJfunSJIrI2RaSt3T9Nh7NOMsVoJkSuEDciCtDbeRvMrdou9LUp3vj8e9sLYC24zo0nORhtXoOyfiYwg2bl9MwZhpmLasB1+E2ZmZkNxgjHxMTAwMCgVd09vfg9okN8ICgiCdUeA8CoKkFRQS5yPrxFci4X2y/Htar9i8d2YIT0LQquTl7T5B5ZXF5N/4xMLIPxfJ8m0+S2ioH2q9z2Anjl+DY4yPhRtHryH8nLUYtcf63MFVNntB2OTFvNY9iVTTDgBuBZYglN80DobFAGplqr4uj9Uqw4EN7irokd/NKPA1BQWESV0SSFBHFFC39TTK0yCxw0cLPQHpPmNo542mIG2rdi2wvgu3fvcGOzPUaNGoU777XRs1dv9Cw4Bc/bTzBjR3iTit22nA/vk1vgd+08HCYsgu0YN5SUliLu9StEXnWH18NkhES/b7D7nb9vwoKuAQ3+9oJtCYtJLceNJgLov8GUOkQQ09vxe1m4EMqE5zJNnHuQiWWOmgiusscw1/8EkCfZOHz4MJRkRaHJiUGGpBU0Osuj4vV5sLUckZKeDzc3N57aaYtC8be3gp18g3r/yEsJURc0YoclJovnyaVYe/pNg93u2LYRC3UCsevaO3znVJMUOiimgCbqiWH3R/9JrbOnn965HKzku6ioZGPCIBV4BudAWoyBvJIqmOjKQ3viOeh261iJFFu4Pm2/AxLXbnIZJ2DaJHUCSQVraWVNYcOIYZ4XoPAWDq7JamcObcU4xbvIL6miJjtCJNUYMd2dfFyJxbsfN9jGzRvXYF78ByRFBZHPZKOCRZDzax4L/uUj4eTWuny8xGHCz/cmsiNOIvZhLGzEleEvkoGhU9dBslOPLxL73ORktqxA2wtgy/hqn1o7dmzHwi63Pwod6fVDXo3p7o2wDUycfmqQESIg3ltG4ZvOgtCd4gmSm83JRBBpz33A7LEIg214SwHByyh99mxB0PETWOZ9E1o6PXmp8jWVabkAkhxxPhcPYoDdBHTp0uXjoAmgN/EemTT7u1apOtpjFrdu3Yolundp0BPJDvXPHfCNsDVMnH6pxwaJ/3j2LBImJn0gX52IZ28LkUUyblbexbEwMfz8yy8YMGDAF93Z22Pu+NRHywXQ48I5cJ9tQ0Y+C70tJ0JRkoHsAibehPvUpIs3WAcXl3aHemjWvBQVFSLNYyzkxNkoU7ZF+PMYjDFTQHH6a7xWWgTbUfV1dhsX2UGy8h3imF0wYJA18nJzwPwQAVluNioldeG4YBd69vzX7VTNmtdmFG65AJKdoE/Wehy9+wELHf6G9ieByyQgO03vT5iYNJ4eqhmMtklRkgPkbWwUhJIuoNe4P3Dx0mWstheB1+M0MKUM8MMP9V+a13dOho1GJs7ez8R0G1XK14UHJHVXZzzI1MLIpafbhNd/aaMtF0CSnefJH5Y0gPyvZJQf54jk3R2z8Xmrj6GMjHScP3sKS5evqhMeEBUVhVs+17Hux/pHZHMWioyBJEac4jIKL6NfIDm9ACMtutOMn+RaoaysXC8sIfDS7zAXuNOgZSeU4wjbie2TP7g54+zAZVsugCQu4NWhIdDpLE5tuyRtwMWHmZhkpYKQuELY/hTZagHct+dPyKUeQ0YRoN7PDSoyHKS8y0DRmzsw1pGGivPZVucnIUgBDeUfJjl3u3evr+p45LUDfTi+uBaWDaf+NUBEvhG5GGGqhEgBR1iN+08AGxP4nJxs3LnjR61RxsbGLRdAojA9vMQQ0wYro4pdA8pTm4/30hMmZu140uoPb//+/ZjRyQunA9Mx3aYGNoKkK4h4W0xjhhl2F6CpqdnqfprTwKmD2+GidJv6F5JYauJoWmsu8ypwhNu8/wSwofkkdvkX1zdBtTqGqrlI9OXZoPRXNFtmcxbgn2WvndgMoeTLGL70DH7YcgK/r5uNqHOzESdoA9clW1ra7Md6yclJqLwzlaaCqE06XfvjUf8sLD/S/rh7hYWFOPejNYZamOCl0HD60h8kFoSrvvdpjhQSL/sf1Z+B8+6OcOrNrPdDgwL49u1bvAu/CAmdoejff8DHSh7nz4GTHYGJS3ZQVND3798j6fVT9NESxJ2XlbDtUY3YbEH0MrUD8Sy2tbVt1VoQQErBIDcaT8GsYFPkqTNBGXAbokpRm1adaNhS0apOm6i8d+9e6Gh2gkzBQ3B0JtDSggmnUa1qi9Tcqkaj3tqSr47c9umTR+EscQGej7PoyUV2QELkrdCgAB4+uB9q6UfBquKCKaqNksJcSEhJQ6o6HRqKomCZ/U796Uj8hKOjI8VTueN7E8NHONIdISQkhB9R8yBwHXfWm1GP5nKSKUhUENy/cPcuRnAxe1vQF5n32kTXt3xuUpxskjYhICCAWii+pGXni0wGD52+9t2GLkw/nL2fgWnWqvjDJwv9uonDoqdMwwJ45coVOHAPYPeNd1g2usbWSU7qiLclUFcSg+QozzpQXjzw0OIix7cthkZFCPrPPYs16//E3nWT8OzyWiRJO2PSvH9NfGyL5+drqEhMl6YFu3DufibFpj7zsADTLOUpQHqDOyA5PhOOD/uY+PifgzwdmIFFB2PbZdxET8dkMpGbFA4rYw08TBKBfddsXAkvg/ngEXS3+SeoYrsw9V8nLZqBs7vXID8zBfIVL8F6IwBpNQbKxKs5DQogAaYpuTaWOPEiLq2Menns932Pb0do0nN85u72u/wHBwfDwsICOTk5uO59GW4z5lDd3JkzZ76oJ02LVuF/vBKHw8bVM3uhe80bb7U08EHbaAMRQJ+G5uXw4t4OUwerCKQVsCHArYainCREBapx+Wl51ozfQyP+x+fyv+G3YgYIRAlJrKiqqnrh/wDSPYbaSx2jSAAAAABJRU5ErkJggg==Вариант модели сегрегации Шелинга, когда анализируется сходство костюмом. Общие правила работы с моделью - переменные плотности и сходства со мной - если рядом со мной больше допустимого не таких как я, то ухожу в другое место. Use whenClick and WhenSpace for testing В модель добавлены процедуры сбора данных, когда agent_data() получает на входе агента и возвращает списком его характеристики Это не только характеристики его самого, но и его окружения

data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAAAXNSR0IArs4c6QAADoVJREFUeF7t1cEJAAAIxDDdf2m3sJ+4wEEQuuMIECBAgACBd4F9XzRIgAABAgQIjAB7AgIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==60600