<snapdata remixID="12339364"><project name="chaos game" app="Snap! 8.2, https://snap.berkeley.edu" version="2"><notes>see inside and come up with your own chaos game fractals</notes><thumbnail>data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAGCpJREFUeF7t3QWQHUXXBuCOIMGDBnd3DxAguLu7u7sVXkDh7u7u7u4uwd3dJSRA/nr6+zt192az9yazyc3d6a6iwu5OT8+ceefIe87p6TRgwIABIY8sgQZJoFMGYIMkn5eNEsgAzEBoqARaBeCLL74YppxyytClS5fhenH//PNP+Oijj8ICCywwXNfNizVOAoMA8IEHHojga6/x+TO3h5+evj6EGq7mlPMsFsbqvU1c9uOPPw7LLLNMe11CPs8ILIEWAHzmmWfCmGOO2erlvv7662H22WePf3vrrbfCDDPMUJeGfPe4NcMyPf4aeM4u0/QMnSedPfR//PxB1vlq6wdDv3794u//+OOPrAlHYOC016W1AODnn38evvvuu3juc889N4JhnnnmCe+8807o27dvGHvssYNjpplmmjDffPMFgB1ppJHCt99+GzbYYINwzDHHxN937do1LLHEEqF79+7h41PWbwnA6XqFkXptGfpesuUg9/DpZveEv//+O/7+33//jefKo2NLoAUA33///fDDDz/EO77ggguiFpp88snDTz/9FPhnU0wxRRh//PEjGCeYYILw2muvhaWWWipcf/31URt+8cUXYf31148gGmeccaIp//KsTVsAcOTl9gmdJ58r9L1goxaSxQV9uOHt8dwG8C+66KIdW/r57lpGwS+99FL4/fffQ6dOnQKTu8466wSgpMmAcLTRRosi8/fRRx89fPnll2GsscYa+LO56e/oxV9//TX8eMkOYanxf60pagDss8Z1oX///hH40003Xfwvj44tgUGCkJtuuikAD3PbHmPSUfuF0OeumqfqOsty4ZO/u4Xvv/8+TD311GHBBResOScf0PwSaJWG4eddcskl4a+//opgpPEq/611246vHvXM79atW+jVq1cYddRRay0xyN/NnWuuuYZ4Xp7QWAkMAsDHH388mtf20oBDe3uCm7effSj88PFbNU8xw8LLh3F6TBG++uqr6Kf6L4/mkEALAPbp0ydquyEd1RqyPX4eZ+yxw7sHzBPm7TFyzcvp0nvn8NGUK8fjROSLLbZY6Ny5c815+YDGS6AFABHAP//8c7wq2ZAXXnghUiEokZdffjn07NkzapeHH344zD///OGuu+6Kf6cxRb5ome222y48/fTTMUL2N+dYeOGFIyCeeOKJGNQcfvjhkUtM509i8LOx/fbbh3HHHTf8eOSCYdruXQdKqfN0vULXmZYK/e44vIXkOi26XXhvspUG/u63337LEXTjsVXXFbQA4CeffBK++eabOPH888+PFMtVV10V9t1333DxxReH1VdfPYJj6623jppy0kknDc8++2yYbbbZ4jzgOvHEEyOHKJJF2QAm/2+MMcaIkfTII48cNttss3DcccdFKoepRb3w+/7777943m233Tb0798v/HL0Ii0A2GWGxcNIvXcMfc9bryUAe20b+ky07MDfib6XXnrpugSQD2qsBFoA8NFHH40ksnHRRRdFbTfVVFNFMvqyyy4LW265ZXAMbbbIIouEq6++Oiy55JLhjjvuCBtuuGG49dZbw7rrrhtuuOGGMMkkk0QN+NRTT0WqxnmBcpRRRonApQHROige83v37j0QgNYbbbRu4fdjF2sJwGl6hgED/gv/ffRcS6n12ja8Ou4S8XeooLnnnjtMOOGEjZVsXr0uCQwShFx55ZURPAAjsmTOhnQAHLAx3UM7AG3WP14J3Uet7cv92n3G8Ppv3eJSNDEyPI/mkECrNIyCBNpveFfDFBGZzAn/daGFFipymjx3OEsg1wMOZ4Hn5VpKIAMwI6KhEsgAbKj48+IZgBkDDZVABmBDxZ8XzwDMGGioBDIAGyr+vHgGYMZAQyVQagAi3OWMVQHNOuusAx+EnLh2gjfeeCPmuYuMhx56KKYrq8/l55lnnjm88sorYd555y2yRFPPLTUAb7755gi+Hj16RJBotlJTqNpHUe4cc8wRll9++UIP+JFHHonVQaqEtDAA9Ntvvx1Tnffee28E+sor/6+UrIyj1AD0wD/88MNw6aWXhn322SdW7ADkPffcEzbffPOYz26P4lY1ijSeTkHVPm+++Wa49tprw5577hkrhBR8lHWUGoD33XdfePLJJ2P1twoaALn//vujBpxoooliNY+qnyIDoHUNqvqZbLLJwlprrRVuu+222Oqq/MyaZd4JovQAXHbZZaN2opWef/75WMyQmu6Vm+24447RROuXVr9Yz2DGJ5544njoNddcE3tV1DyqfTznnHPCLrvsEuskFd1qgShz9U6pAZjABHzXXXddWHvttYOgAShnmmmmCMy77747mmdg1Bu9ySabtIlBx//yyy9htdVWi4366623XgxwFOsq7qVVVYvzL1dcccV68Nyhj8kA/H8tpVB2jTXWiEDjp9FKzKRWBFXcH3zwQSzE3WuvvdoExAEHHBC123jjjReLbwUxAo/bb789nuuQQw6JVeOa7stsepMQMwBbgdOrr74abrnllhiEaEsAPKbzxhtvrEsbaSlYZZVVouYTBYuomfUym9rBCS4DcDCSEaDod1l88cVjl93QDBwfqsUOD4KPPAaVQAZgGwDkGyKJh3aPGlud6KHB9a255poZf61IIAOwFaHYnkSLKBMqmrVdCN6uXhMscra/4YwzzjiQbtEZKMjJo6UEMgBDiKb2zjvvDEcccUQ4/fTTo8mdc845IykteECX2KZEt14tbQi8mrGk85DYNOi0004bpP0EISLqk046KZLPWSvmPaLj62gnsMceeywSxZ9++mmkSvCBaBikNN7O/0uh1dJiNOWPP/4YMyn8SOATBaNeENKArXnK5ktpw88ya8VSa0C9z7SdRnaUC8CstNJKsRtQXpj/ZuPNREAjox988MFolgUnlUOjPbApMEDbpK3laFR5Zv3KeESBCZ+QBvQz0nqFFVYoLQZLDcB33303aiYbozOXSOMLL7wwbtIJHDQhUrpy8AP9zdyDDz44/mn//feP6TygdY7qYSsS/iSw0aa0pK1P9F1bA2VT1lFqAKaHjhhebrnloqkU+TLHgAE0QFI57AJ7xRVXhFlmmWUgcOSP33vvvbDRRhu1uqsYXpFvSJvKsNCkdqClbWVEyjxKDUCgoMmYU5uzAyBfTxDhb3y0Sp9PVct5550XfUX73tCaSOb0r21Idtppp1jIkIbz8f1sPcKUW0Nwg6KxNgDaibaso2kBaAsOiXwAAQIVJuiPtgZNlTbBdPyff/4ZsxMi3EpNl4oJDjvssAhOm2bay4afyMcz/L+cr2Onn376CCzVLUyrSNkur/bIUe613377xVQeHzENIKQNXQcfdNNNN42fp3DOWhtt0p727lZJY77zFC2cbdQL0LQAJDB51VVXXTUGD/6t9RCYTyk1fho/DMBqbT+CmkGX2HgJt5fyt3YPAwIUjWAFvWLQeNJ4zLENnQ499NA2n60tRY488si4A9kZZ5wRgWjzprYGN0Fws+uuu0aQJ1+0USAqsm7TApBGAihagxZSfaLKGADs0FU5VLoIEGwBd/LJJ0eCmNlkYitL8asFKTjxH20regUOhDLt5d+U26WFFCCIfJlvPiRgKnCtpZ1QO6JmdYm4Q1vgOTefsponZMqTBsZd0pZ8VYUPbd1HEYAM67lNC8CkbVSuPPfcc9GHs5MXHq9a66BIaC78G9PJbDO7tTRmWsO/QAfoHjofcKuttmrxbGhU18EsegloQNcjWKk1gNBWdXxMIBS0eJlo+MrhvviXaB21i8Dn/oG8WUdTA7BS6DbO9GCqtV86hvbw0IBxaIcSekAeXFULikbmxAbvQzvswYj6GdwaTC7f99RTTx3aJUaoeU0NQJqGWeWD0Ta4OGavOqo87bTTYgQq0HC89BizWq8GVI4lW2LQOMyywKJy8AlVPYtqRcNeCE1I9ZhG98EXtYbrknt2rfjFyqG62u9dt7Re0nz13McIhbqKi2laAHpoHhiThRhm6vh2AMJcJhAKUDT+AALzzNfi5ItcZTTaengiVyDC2zkH6sV+2LIafLXKIUPCjPJLmWLmEXCtm/y21kDgPpzbfOCTFQHizz77LBLiaR20kIDF9Ur16ehjjt2zWsN6gD4igrBpAUiYfCS+lghVeXsCk6iQqVRQCqBJW3nYHrRoVnGAKLLWsIa8rkBDD3EtbQNEuEKmVMQtwq01mFUvgzWU/Kc1ZFBoOUEK9+Hoo4+Op3IftjUWpABitTautd6I9PemBaCHQNPx+WgqD4L2oHX8TSSJ7EWVIIENPKDCUBGwv6mAAdbWmsaB4Pjjj4/ZCtrVsTRutVmsfpiyKgoZfBkgFSbssMMOsSek+tNjAqEzzzwzamOV19wH+WkvD03uJRFdcy8AUecerlHbqK8U4ChTrjlrwBHgtfIw+HoiYnQIn9DD1fcLiBtvvHGLq6Rx5ILlYvlgqWlctKw5CWAGF9TUe7tyy6giphLBnLItrvOss86KYK1sfqe1TznllLjJOuAn8AEwv8/PuMmOMppWA7b2AGgU5K8e3AQckSlAoV6qv/7Ex/KfOcBJy9CqTLoGJRoJcIsOGtZnLmhCoLYGstoaXpbW1nA8s5zAyeSiZ3yNQJalo4wOBUCOuo/hqLVLVSkemH5cJmvnnXdu8dxoORqQtmTCPGyV0CgbPwsk6uHx2gJDKkT1EghGAB0xbrsOpWC+DlqtZWlmwRM3gok2ttlmm/i5C/cg2KnMNzczGDsMAJkuHBywVTcASXOpZq7m1pg0AECryNPSfCJKZlJkzU+0p0uRccIJJ0RgAzqaRvbFushsvihOj2Y0FCcgoEXR6BbZncrhPlBI7i99z6XItY0IczsMAOsRJlNI89Am/CgPkqZLUSV/TJRMI9WKdutZr/IYGRQ9xz7kLfMhd+2lsDbTKqIFUpRPmTYrKhUA7VSgElnKSwUKECiRBzpVLDQM88tXrC5EHVLAVR8vIsbt7b333gExLjgStfMHfXOPJsZT0ooHHnhg0eWaZn6pAOip4NlQHr4GpcBAoIHeGN4fuAFImlDgZG3mGRBF7GUapQNgergevtQWM0gTNmIgoNEreD957DKO0gJQwMHpR4E0assM0S53QFQrWi/jKB0AlTQlk8fnktdFtVTndoc1GJhgaUIEOMpIjhpniaIp0ygVAJlclAuiWjm+3K7Ev95fnKC87dlnnx0DlfZulQQsYBN5o4vQRjSv6mZFsrvttltM97kuOeCyjNIBELnL50PwpgIG1cUyDcBIKykqbe+Nw9EtIm0pOH0icswyGtwAn8gFOtkRmRFBUllGhwGgHKnsAe1W7dDTPohbqbaU2VBmhZcDBKQzWkYu2dfc09fgFS/ssccehbCgMkY1TapdRPNIxyntAnh1hL5ALyo3ZEzQQiib3XffvcXaqfldk1TOhBR6LO0/meni1OuQQ6/o3TVUuwAeAFY3jXvIAOBh2gtasQDQ4eZUndCC1TsgDOmVi3JVyKhB1HssJQhgqVUzbYxZeV7+oJQg0Lo+w8aYUozShvqLO8roMBrQA6EF8WgqSVJ+ld+naQfVUV2MoBDUA5U/po00LiGEaUKbTKadTos+bGYWoKyR+oIFIXxA5WPVPR04QS6CdF16aRxfuRtD0WsaUeZ3KADSFkyrWjwaTV6YtqHRpMBkNyorT+xeKv2lVAoI7NmiOkZkjKMDXOazyODf4Rzle1NlNs2mwUkemEas3ppD368Xw0sjJ6yci5YWpNDMyPSOUhHTtAC086iHKKqkXVQMCyr4UursPEBRJ60nqMC1ASeQAWHK//LxtEBW5n5Tgaq+YWVc/iZwUCRQizO09ZqI1tquEdUj96wbD9DTSGvQdHxQc0To3AhV3l9//XXcp4ZPqxSfe+AlkblRgEs7u19+rzaBop+TKPKSFZnbtAB008rlEbj8KbV1CUTKsvhWHhwfLDWNA6oH5lg71tdTLu8Y/SU4OlxhrcpjwFKdzQWg4QQYtQbqR+kXsAJpug+N6twJg2+rK8+g0Z1b0UI9O0LUWr+Rf29aAHoITCwto9OtZ8+e0XSiUYykqfiAjuPfoUF0nNEYtKBotK2qF83vzB+axhyBBE1EmwFx5fASiLDV//HdaGA+KT4xRbitPWhryIYwrQIgVTHuhx9I0yUf0PldMw1o4A4VNLgev6/1YjQSZG2t3bQAdFO0jSFq5BMptaJBqs0kjg0I1OKJfNM+LvU8tLQGzYm4lsITOBx00EGDAJA/icS2jrpCWquesi5aGuC8VHhCgOcqVKfnVPMAKtDpvlPQynzXs0YG4DCWgGYhDv3gdqP3ARmaq5pbG5LLUpzK76ouFE3nSEFNPd12g1vXd0ZU5wyuFwVZzVcsyk8OyX0Py2ObWgNy1EWHIl0FnzQJElldX+VAzfCvmDbOu8CiXs2BoKbJkjnmW/pddc2eAldZFryh62JK0Sb1aCdalmlVgU3D+ZnGRgVVDnWENB/NbQcu9+B+6lljWIKoyLmbFoAeEmDw66Su8HfAJ5NQXVGMQ8PBMZGAyNzpDfbQ23p4TKLAxTlRKIhpgKeBKjcncn5DWb8cr4jZOiLwWr3EInAvjigesBTIWov/V+1KJD+TT5sa1VFFovyivStFQFRkbtMC0E3LcnhIIkFcWi1NAFAiVMcC7hZbbBFB29bwoEWo9nuh1dIaKBom2U5YwJ9aPnF+/EUvhQBI9U2t/g3nkhJ0H1KB1f3D1ddnDX5vakzXBN+so2kBCEwGrSHy9dDxbW0NkSMtxnkHRBoRQAbXmJ76jPmVKmY0EwGKIMT6NJ1ggfYCZgMg+Ygi5kQ28+eq12CeBSqALWpmUl0Pd6JW8zt+EPgA24skDdmsHz5sWgC2xxtvhwG+neR+2vQHUKTmmHfEb3UzO/8SYGgqPhvTDgAAnTZGUtGSBnDKYMhqoIKcUwmWl4aZZk6bWYMVfQ6lBiDhAQOtw49KeVpgSnwc0FQOPh6Q8t0SOKXt0D/6fqvNrb1ibCYkQqbl0s4IzK357fFF9qIgaOT8UgOQLwU8MiZ8SY48k8ico3QEFZX9IqJfpV0iUSY4VS8fe+yxsZ1SDpq/WAkqa6jMUX4lwAB0+78IPETUIvJ6+MhGgmRYrl1qACKumU1BhCIEJpUWQ4GgbGQ1+H+pgEEuGZ9I2zHblUPRgfwvLVe5x7Ncr4CEFkQVAaPshq+wM900ZGvfFhmWD31EOnepAZgeBG1kfxjmkU/IoacBmVp+oo/LKKMXMdf67CqtqIBAoHP55ZfH/hMaTgCj6lrgweyjiqxR9pEBGEIshaf90scKFQDQSnK5ImEm1UZBOMBaVA9NqL+XlmRiAQ0AaU7gVlBw1FFHRSqo7B+p8fJlALaigvB3aT8/IJJtYK7r3ZeZNhUJI6uZd+fiT9Yq5SqjNswAHMxTF5zY6xlFUkvrDQ44cs/KvgQf+dOsrUspA3Aw6BHlokpUpCCbh2ZI4+EARb58wjwGlUAGYCuowAMKFESqSvmZUYSy5qJ6hr2h0S4CDvyf4gQlVEV3W61n7WY7JgMwhIHddL41J/cLdFo7gZAGE4wIRFAp1ZU21Q/cfPPU9Qk6VLTgFxUsoGnwfnY/lXnJPmEOQiJ+ZDVEr3w1vByOj98HSICj+FQ/iPRcLdA4XtQr6OBHqu1L2Q+AVCkNyCqlO0pjURGtW2oNCCwqmJXbK9HC0yGRmV6gQZ2kL3Aqm0ccO35IhsyKhiGV2HK/omrmWGTMt9Tb4ROvZR2lBqD+kLTtLbOrG03UKt9L2/m8gwCiyFDXxyeUTdG3oiiBWRdho2q0itoirqyj1AD00Gk2YEgNStJtNipS2azqpVa9YC3gMOkyKoIYZVpSfX5WXIrsVh2jvKuso9QA1GppGw9UC9+M2aUVlWNJnclmFN23D9B84Ebli3J7gEv7QqsJ9HNH2mpjSF+kUgMwFYmmJvYkvPR7WqtovtaHFGnT6oJUAQltKG3XrMWkQwq21o4vNQDbQ4D5HMUkkAFYTH55dkEJZAAWFGCeXkwCGYDF5JdnF5RABmBBAebpxSSQAVhMfnl2QQlkABYUYJ5eTAIZgMXkl2cXlEAGYEEB5unFJJABWEx+eXZBCWQAFhRgnl5MAhmAxeSXZxeUQAZgQQHm6cUkkAFYTH55dkEJZAAWFGCeXkwCGYDF5JdnF5RABmBBAebpxSSQAVhMfnl2QQlkABYUYJ5eTAIZgMXkl2cXlEAGYEEB5unFJJABWEx+eXZBCWQAFhRgnl5MAhmAxeSXZxeUQAZgQQHm6cUkkAFYTH55dkEJ/B8JaO9rBtmklgAAAABJRU5ErkJggg==</thumbnail><scenes select="1"><scene name="chaos game"><notes>see inside and come up with your own chaos game fractals</notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="initialize variables %&apos;s&apos; %&apos;size&apos;" type="command" category="variables"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doSetVar"><l>sides</l><block var="s"/></block><block s="doSetVar"><l>points</l><block s="reportVariadicProduct"><list><block var="size"/><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportNewList"><list><block s="reportMonadic"><l><option>sin</option></l><block s="reportVariadicProduct"><list><l></l><block s="reportQuotient"><l>360</l><block var="sides"/></block></list></block></block><block s="reportMonadic"><l><option>cos</option></l><block s="reportVariadicProduct"><list><l></l><block s="reportQuotient"><l>360</l><block var="sides"/></block></list></block></block></list></block></autolambda><list></list></block><block s="reportDifference"><block s="reportNumbers"><l>1</l><block var="sides"/></block><l>1</l></block></block></list></block></block><block s="doSetVar"><l>point num</l><l>1</l></block><block s="doSetVar"><l>previous point num</l><l>0</l></block></script></block-definition><block-definition s="pick point %&apos;constraint&apos;" type="command" category="variables"><header></header><code></code><translations></translations><inputs><input type="%predRing"></input></inputs><script><block s="doSetVar"><l>previous point num</l><block var="point num"/></block><block s="doSetVar"><l>point num</l><block s="reportRandom"><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="points"/></block></block></block><block s="doUntil"><block s="evaluate"><block var="constraint"/><list><block var="point num"/><block var="previous point num"/></list></block><script><block s="doSetVar"><l>point num</l><block s="reportRandom"><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="points"/></block></block></block></script></block></script></block-definition><block-definition s="draw point %&apos;current pos fac&apos; %&apos;point fac&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="gotoXY"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="xPosition"></block><block var="current pos fac"/></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="point num"/><block var="points"/></block></block><block var="point fac"/></list></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="yPosition"></block><block var="current pos fac"/></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block s="reportListItem"><block var="point num"/><block var="points"/></block></block><block var="point fac"/></list></block></list></block></block><block s="down"></block><block s="changeXPosition"><l>0.1</l></block><block s="changeXPosition"><l>-0.1</l></block><block s="up"></block></script></block-definition><block-definition s="// %&apos;comment&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs></block-definition><block-definition s="phi" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicSum"><list><l>1</l><block s="reportMonadic"><l><option>sqrt</option></l><l>5</l></block></list></block><l>2</l></block></block></script></block-definition></blocks><stage name="Stage" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" 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VUlD+LViNUixtjTq1WqwMpax1KQAkQaQDWt0AJDEHAWguhibNCCHelaTpQcLVY4PxrsVjc6fUEKDo7Oyf19fVdwsydxpi4Wq3+L8WcJAnUo64QkaPSNL1qRT6ImTNn7pBlGeay0DmHlevASJIE0pFIFde993tj/rNmzUKl+FIHirSwgjfGfM8598PGge3t7bsXCgWk8y8KIcxeVp/lFclHr6UEVgQBDcArgrJeY0wRsNbexczzctu8nVEd7Zy7LQ/AKEJCry+MBH5cKpWOXpp9YXt7+/Qoio5i5n8R0cdCCKemaYqiIwS6Y5n5TBGByxCut7tzDqviUR1TpkwZP2nSJKzCT4WEpIhA13paw9c3SZL7mXlHVCczM9LsP+vq6hqodB5qJEkyn4h6jTHdIYRj+vv73zB37ty+gw46aOKECRPQcgStbPz3tUMZW4zqzerJlcBKTkAD8Er+gHR6K5ZA3mqEAiq0KKGX96dZlj3W09Nzfx6AEbzWzXtajYg87L3fcahZWmvnENHB+b/7BvpniejIvFgJ7U1lZkaRE4Ig1KEi5xxELUZt5MVnRxhjkH5+LIQAi8ArReQUY0wH5kBEs0XkCkyCmYshhPc0KsMHT8xa+4yI9MH9iZl/mWXZPd3d3f/rA47jeAfspeeiJdhnFufcWqN2c3piJTDGCGgAHmMPTKc7ugSstZBLxOoXxgE3ee8vXfyKSLnin0GYIsuy9zEzWmqKjfRyuVzet1AoRCJyZZZlO0RRdIiIwHp4NxH5ODO/GEKYXigUKISASuNXmBmKUi8552AKMWoDvc25peA+RPReEUGP71dFBHKcmDNUwGAqcWS9Xn97FEVY+TsRmZemKT4osHrHPjn2fGcTEfaBp2OPN03TixefeBzHRzKz7e3tPXTChAl/LxaLm75e2n7Ubl5PrARWMgIagFeyB6LTGVsEYNNXKpVuY2aYC5wcQtjTGPN9EXmJiA5BgRYqnuv1Ooqt3ohCpRDCrSi6IqKNReS8oSQcVwSFSqVyInp5sXoNISDQzmTmN8HlqdGe1N7evkuhUEB6+cooiuYx81+Qng4hwHrxqqGC7oqYu15DCawKBDQArwpPUe+hZQQ6Ozs3r9frMG/AKhEFTE/BG5eZH3XOHdKYWBzHGxljHoOkY71evyuKIqhtXbr22mtfdPXVV7dEAapcLu8ZRdGZMIPq7e1dt62t7Vz06qI9t6FwhfnvuuuuxU033fRBtC7V6/Xr80D8tXq9/pXVxQGqZS+YXniVJqABeJV+vHpzo00A6VikYiG6ISLrElEbM8N2b00ROdl7f1mlUtlWRJC+LSAN3dfX1zZu3LgPhBDQ83ur9/6Y0Z7nUOdPkuTc3NXpBghqoNcX+7powQohzE3T9HLIR2KOeeEZqqHRs4z+ZoiTfDFNU5xDhxJQAiMgoAF4BND0J0pgcQLW2h+gapqZ/wxTh97e3sPb2trQS/sTEemCbeFLL730p9tuu+3Zwb8tl8ubt6o9B76+zz///BoTJkyYmKYpgipUrtYMIewYRRHaibBvvT4RvUtEdkbLVF7tvKX3Hv876JugBJTAyAloAB45O/2lEvgfAWvtzaj2JSK4IaFFCZ7BM5i5ICI3oRc2TdO7xgKyJEmg6YzK6H8ZY3ZFlTPapZj5YXxMwAfZe3/2WLgXnaMSWJkJaABemZ+Ozm1MEojjGKIb0JhuCyF80hgDW0J4346Zke8Pjyci2DSifeoi7/03x8wN6ESVwBggoAF4DDwkneLYImCt/S4RIUW7DcQpmLnNe49/NmZGHMcQIMH+7+eYefMsy8orQiZzzADSiSqB5UBAA/BygKinUALW2vNCCM8z82+JqIeZ74W6lYgsIKKiiHxgaZrRKyO9JElOzXWsHyaibiL6CDPPEpEeY4wZLKm5Ms5f56QExgIBDcBj4SnpHFd6AkmSYA8YzkCZiBwdQphnjBkwnxeRt8Omb3AaesqUKYV58+ZBzKJlAz3MxWKxlKYpisX+N6y1O8H/mIgg0HHSWmuttcvChQunMPMNxhj4Jt9ZrVbhjaxDCSiBZSCgAXgZ4OlPlQCqhpn5MWaGQf2LxphHIGrBzAc3xCySJIHU5E9FZFKWZQf39PT8OkmSL4rIFrAi9N63t4JkHMcnGWPg2PQxmChYayeHEE6Jouh2EdnBOXeJtfZQIvoAHI2I6HIRuYSI7hORNzPzlwabL7TiHvSaSmAsE9AAPJafns59pSAQx/FXYU4fQvh4sVh8LMuyeUT0Ze/9KY0JViqVL8KMAT3D3vtOay3akS4IIfyo0QK0om8mjuO3MvMV8O9l5l2zLHsnMx9NRLcsXuUcx/F98BGGLnahULiXiBB8ByQ5dSgBJTAyAhqAR8ZNf6UEBggkSfJh+P0aY34vItCNLhHROegFZub3O+fgK4zjHiGirZj553BHEpF9RGQjIrrNe5+0Aqe19kMIvrASzA0iYhF5GwwYmHnTarUKpybCxwJakkTkg1EU1UII8BPuCCHsnaYpgrEOJaAERkBAA/AIoOlPVl0CSZKcRkSL0MNLRI94709Y/G5haEBE85n5HhF5SERQKfznxh5vpVKBzeALWOFGUfTeLMtOEZHnjDGLRGRfIlqDiNaGD3BuVo//H2alUumaWbNmwcR+1Ia19mwReScR/YqIDqzVaocXi0V4H2PlC3nMJ/JCq5dEBNKZWLU/DutC59wXGxPD6hlGDbgfSG8S0Ru99zjvq0aSJLhH9EZjj/wjzjl4IOtQAkoASjdKQQkogf+fQG4hiH9wsIh8j4i+HkXR811dXfM/9KEPjX/22Wf3MMZ8ECtAEZlIRL/13u81RJCGDjQKmVBFjH5g2P1hxXsOESGQnRpCgODFJ7FSZmaDvdXGvvFoPZMkSU7G3q2ICBHB+QgORsfjg0JEikT0Y6yCjTGfIaIFOKxUKu07a9asPw1xj4+ISJsx5ushBEhrniAif4U+dGdn5zr9/f3tzLy/iExDKxY+PJxzuE8dSkAJaADWd0AJLEkgV4K6HA5HIrJ9oVDYa/bs2X+GpnMI4S4UXMExiIh8X1/fN+bOnQv95CVGkiSQcPxeFEWLQgjbE9GD3vvd4YubJMn7iWg6M2/PzC+EEK733n97RTyPJEnOgrwkCsBEBPrO53jv78G1rbX4b7RP3Z1rWt+GYqyh5jV9+vQ3lkqlK4losojAX7hQKpXWnjVr1kvQkBaRO4nofmbGah8tWtc55360Iu5Rr6EExgIBXQGPhaekc1zRBLhcLu9njJkjIlMHm9EnSfIJZv48VpHVanUJ/9uhJmqt/SMRreWc23Twv29vb39ToVD4p4gctyJVpmCPWKvV3k5EWJX/oK+v7845c+bAQILK5fL++GfM/B3n3OsaLaCdavLkyUjJf46IvjXYzzhJkv9jZmhkn7CiPi5W9Iui11MCy0JAA/Cy0NPfrnIEEBSLxWJVRNYTkU2YmbIsq3R3d3vsexpjvgET+nwPFavaC5a2QrTWIijtD99faESHEBamaboJoOVKU0hTb0NE440xWxYKhbeNtll9uVyeZoz5MXp8mfnTIvIPY8w11Wr1K/kKGPvfhD1rZkam+qql6T7HcXwwM9/IzA+EENY0xmwXQtgtTdOH2tvbN46i6PfM3E9E+MjYTETOHTdu3HdmzZqVrXIvjt6QEhgBAQ3AI4CmP1l1CcRxDO1mtNe8QURSZj6RiC5ZtGjRxydMmABFqFNF5D35vilaczbLsmz37u7u/w6mMmXKlPGTJ09Gahp7p7DuO9N7/4PFyaESGfvMIvJ3Zv6Zc+7k0aSbJMllzHxsfm9rRlH00TXXXPOJhidxvjp+q4j8EilzZn5nvV7fpqen59HF55UkyY35BwT6mZGmxp75/XlF9UdDCFOiKNo8hDAQpEVkq1KptO5of2SMJj89txJYngQ0AC9PmnquMUFg5syZu9XrdRRDZY0WIEhJisgbmflAGCgwM7x6H2HmrfKK5b3hcoSiK2b+XbFYPKWvrw8rQBRQoXq4t7ESrlQq54rIxiJSQ0+tiJxtjLlkaaIVlUoFQf5v8NfFajGE8Ok0TdG2RAcddND648ePPwTevMOBmyQJ9l4f6OvrO3bu3LmYN1bdxxljTs8rmzHn7zvnoFn9qtHR0bFLlmXt8AQ2xhzEzPsR0Tzn3Pn5KhkfDVDxOr1Wqx1RKBTejcK0LMueYGYYOOyKojJmvoWZrwkh/IuItkYVdAjhV8YYaqS3K5UKqqin9Pb2fv3mm28e1Qrw4fDTY5XAiiCgAXhFUNZrrHQEkiT5Tx5ErhWR3zHz9cz8xyzLzunu7p6NCeeFUmgxwgrvk7nFoCWiO5xz0/MAOXHChAnYP42I6FNZli2Ioggp6km1Wu1zc+bMQRV0UyNJkiOYGW0/bc65Lcrl8qHw5c2y7IDhGiHkK/m9RaTgve+w1mIFuqaIfDJN0zlNTSg/yFr7MhH9V0R8vrp9kIgeE5HORh9wkiTQv0Yb0n/zfd8dEYiJ6AeNYDtz5syt6vX6/UQ0QUQ+a4wpiQg+CG7PsuwLPT09WHXrUAKrDQENwKvNo9YbHUwgSZIrmfkAEXkgL7ZCIPjv4DYga+3pIvI+Y8yG1Wp1fWstNJPHI4gNLppKkgRp5nUgP5lXBH/FGPPfEMKnvPdLtO8s7UnEcYyV5OdF5C1EdJKIoCBqXzgqDS4Ea+ZJWmvxwXABEaGyGilgBLcnmfnLjf3eZs4zffr0zUql0odEBP3Rl0dRhIptZA96ReSARvU0KseZ+VAR2ct7v22SJD9l5q1F5Jvee/QJD4wkSb5FRB/EPjozoz8aalwLQwgdaZo+1cyc9BglsKoQ0AC8qjxJvY+mCVQqlTfkfbhIH6+f77+eCVWoEAJSpZ8VkbWZ2THzV/r6+i6bO3fuC+VyeUKhULgthPAfETkPgh3GGKSuN2ZmrBL3EJH+PCW9hoj80Ht/WbMTy3t0342CLRHB6hF9umuhPziE0J2m6VWVSgWp3rsbKerB57bWzoRoRgjhAGPMBghyIoJUdCd6eqG6Va/XsdJcYj93aXOcPn3620ul0tUiAn3riohsycy/yEU6CiLyExFBEdmn0bbUyAyAFcwokEVn5q+JCFL31xHR0+gdZuYdReRxY0ybiCDd/jnnHCQ8dSiB1YaABuDV5lHrjS5OACpNRARlJqhCTfbef9Baiz3bWt4j+1Pv/ZcW/x32bEMIX2DmW4los8cff3zXTTbZ5IdIwcKQgYiu8N6jWnpEo1Kp3IGAGUIoQ+AiiiKIWFwpIuhN3rxYLH5oKMUsay2EM15gZuw/Hx9F0W+zLLuLiM5l5rMmT548qVFsNdyJVSqV94kIVr5/g6hGtVrd31p7AwqrjDHPZ1l26FAr2DiOTzTGgKHDit57v26SJNjr7UWFORGh3Qnn1aEEVjsCGoBXu0euN9wgYK3FKnNL59wN1trvici7RQRp2rdBwUpEPpGm6QOLE7PWQkwD3riT84CEwqN7Fi1adFxbW9tBIYSbu7u7B9p5RjJQBNXV1YW9UghjoIAKK01USa8rIp/33kNzeonR0dGBFTyC9/MiArEQ6FIf7L2/M0kS9OI2vRpf/ORoK4LC1bRp0zYplUrfRXsRM98ZQjgJcprOOVxriRHH8QbGmO9CspKZUSH9BmZ+mpkPqdVq2xaLxa2r1epVI+Gkv1ECY52ABuCx/gR1/suFwLRp09YqlUpYxR6QZdmM1yt6wvFQeCoWiw/BqN45h9X0ch/Tpk3bcty4cb8JIVSNMZCRxH70Ugu7UOiUZRlW9TCJgPayW96Tam9v3yqKokMgSIIKZu89VtnhNa4DYZPdoiiaRUS/7+vrO3Jp6mHLe656PiWwMhPQALwyPx2d2wojkCRJBS0zRISV3Y0isrlzburSJpAkyV5YxTHzzig8CiGckaZpU8pYw7mpPCWONiDM6c9RFD1VrVZRyLTEwB6wiByRV2RPRXHTSy+9tOWtt94KucnlNiqVypEhBKyCXwwhfMkYs6lz7tjXukCSJEif75ZXRkMxC/rTOpTAak1AA/Bq/fjXIjpSAAAgAElEQVRX75svl8vbRFEUO+cugtHCc889B21myDBCVONNRPQe59xti1PKHYXQK4yVH4zpPyMiNzAz+mORnt6lWq0eNFK6cRx/E72yKMYiIug1c96PjH/492KxeNBQYhbWWgh9fAC9xER076JFiz48YcKER0MIH2Pm76FK2zl330jm1d7evk+hUMD9QSgE9oSnYl9ZRODshI+Wbzjn4Kr0qtGoJM/T+lDXOllEPp0bVRwA8Q5sAYxkTvobJTDWCWgAHutPUOc/IgLYE0VUI6KvQCKRmQshhDuNMQgGEJxAS02X9x6tPK8acRyfwszvKxQK70erEdLDzPwx2PuhMpqZe0MIqLCuN/yAm5lkHMeHGWNQofxFEYGQxdtRZZxXVWOOEK1AD26ZmdeoVqtdOC+KyYwxqYigOvv9IrILM//dGPP3EALuY2IURfuFEKDtvMh7//1m5jP4mDxDgP7oHiLa1hhzDFbBIoKWqzeHENb13iPt/apRqVSORkof4iXGmFNqtdoOURR15K5Q+KDAnB4slUp3zZo1a7mu1Id7j3q8EljRBDQAr2jier2VgoC19jkReQLVuKg4ziuHt4IaVZqmZ6F4qJm+1CRJjmVmFDehaAr60YjrT4nIDiLy3uGIXuQuRej/PcEY81HYAzLzLvDSdc61Y5+1XC5vD41lIrobPctxHL+FmfHRkBljzq9Wqz4PyvOJCK1IaO3JmBniIBC++In3/tDhPIQ4jh82xkB4YyeIhDDzP5j5rSGEY4cTzGH0EEXRRVmWXWKMgVXhHrkYCpyTdhxOz/Rw5q/HKoGVlYAG4JX1yei8RpVAkiR7IIUsIpeGEGZHUYQ2mXne+/cN98LWWrQx7R5C2NcYg/3at9Xr9cuHq+wEswdoKiMwOefWS5IEcpFIcX9gcDGVtRb9tEiPQxzk4xDIEJFveO9PaMy9UqmgJQouRZv39fXtPG7cOHxswAThg865ucO5xziOO40xPyGiM4kICmJoieqBwtZwznPAAQdssMYaa9wO/eiFCxdOmDRpUoI+ayK6xjkH/W0dSmC1IqABeLV63Mt8s6ZcLm/W3d39Dygfee/RB7vUYa3dKYTwdJqm+OM/amPXXXct3nfffdBdphkzZrxtzpw5CFxLjCRJtsMqK9/7/QMzP5plmYWohbUWqkwV7z3kFJse8PxlZgS67t7e3usnTpy4ZZZlSNWux8yXIrCgYrq3t3fRvHnzoJ/8qoEPARFB/y4bY3Ce9xtjvhpCQKvRfthbxcrXObc2/rtSqewjIhC2QKoarT2QlYSYCAwivuq9P72jowPOS18jog4ROQtp9EqlckUIAb28p6dpOmQR1+CJtbe3l3t6erqttXBsugwylvPnz5+89tprT1hjjTWuJiK0bF0yVIp+afCgzgVji9yY4sKZM2duU6/XsRo/NYSwU3d395/R5jRhwoS22bNnL1UspKOjY5PHHnvsqcYzb/phDfPAcrm8bhRFmzjnHgTTrq4ufHws9b0a5un1cCVAGoD1JWiaQP6H/XEi+pGIHMbM+w+lXpQkya1QcBKRZ9Gq45zbs+mLjODAfD8Xtn9I/W7svUe6dvFAh0B5ewjhI8aYA51zh2PF2VCUgq/teuutN3G4+5BxHK+ZpinEN/43rLVQoHqaiH4HuUZjzM9DCDBUGNizHTySJEFrDoQ2UDj1Lu89NJRfNWbOnLlHlmX4LVag367X67tHUfQRZp6OvWJjzFOLFi2a0dbWBptBeA9/FMIYzNyXpulPcbLOzs7omWee4cmTJ18nIlh5ou/5Ce/9Fxa/Xu6I9CxEQKBehQIq59zfGseVy+U9X3zxxXuH+qB4rceH9Dl0oKMowgfF/4rB0Go1fvz4X+bSmeeGED6Upmm6+Llye8ctc6Wwnw2WuBzBa/O6P8H1ULmN7QRsMTjnoDS2+LOBvvXPmfmmXDq0Uq1Wh/wAfN0L6gGrHQENwKvdI1+2G47j+DPGmP/D/qKIPCQi3x78xxIByRgD27534UpQb/LeY+UzasNae0yehn2AmWE48GNjzMPVahXBDWIWKETqhFNP7ni0ERG9bzSlD9vb2w8qFAqQcHyemZ/JBT7GO+dg5kC5kf2Z+bxQjAT7w097768fIvCgovpbIrIRM6MI6y8i8k6slBGAscrNZR6hsQypR7g6fcI5d+0Q58KzgdDIOGb+cZZlfxeRv3V3dw+kpZMkQSoYxWQbMDOERp4UkcNHc3922rRp640bN+4TRIT/4EPk35CubHwc5IIp2MP+PxFBK9PNIYSZyyJ20szLaK3FfjxcsWDG8WQIAR+WmBf0tcEKH6KTIKuJ54ceZ2QdvPf4SNWhBF6XgAbg10WkBwwm0N7evksURUjT7kNEaNt5xDmH1huCmX0URUjt9osIVlbj1l577a+OVP5wOOSh1FQoFA7GBwGCRqlU2qxh/J4kCdK4HzfG/EpE5kDHeKhAN5zrNXMsVpIvv/zypGKx+FkIaBBR0TkX5x8FMIKYjUrpXArzt8456EsPOeI4RivR+saYOK92/nUj/QsFLBG5MYSAgrJLRWSzNE3hqjTkyFeSEB35GuQujTF7V6vVX+dBBe1FFzDzl0IIWD3DshF73KM6YEsIVbIQwvFYcYcQLk/TFO1KlKfdfy4iUAW7WETuTNMUe8mjPiqVyrZ410MIKBpDNfeu1Wr1dzkrfPiA83N5XzSq5hGEdSiBpghoAG4Kkx40mEC5XN48iiK0oGBlcFUjcJTL5XfAF5aZkxACWmpewP7ZiqCXW/cV4HGLXtl6vX5kowgqD174SDjUe982c+bMLWbPnv330Z5XpVLB3uxeRHS8iPQaY+ZWq9UBjWgIeRDR4cz8QRH5TjNZgtwt6fZ6vT4tiqKXGoGxXC7bKIogBXkF2o1qtVo0lIRm435z1a8PwRmJiB7o7+8//KabbvpLHuwSEbmCiL4pIv+GReNwWqlGyhQ8IH7CzAh0M5m5o1qtouWJ8j17tI3NDCEgNf39FfFR0LiX3EcZNQKXvvzyy1c1hE3w0RdFkWfmcSJyFIw4Xov7SNno71ZdAhqAV91nOyp3Zq1FcdB7czu6v0AJql6vT4HDTpIkSE0jfYlWlU4RQZXxp9I0fWhUJpOfNA9md0BjWETujaLoySzL1u/v70evLvpOUSwGBx98MCA9yK+lcrU85ppLQl6eOxIhNY7Ai8Koo0XkN0SEgLIFRDty0Q+k688cyvwB7TvGmA5UQ4cQvm2MmYp2Ke89KpMRzC9j5t0higGP3RACVtvToQG9+L0kSVImIuwnR8xcRbqXiOYzM1a54Ad5yd2YGQEZ6d57+vv7T2oE6OXBZog5bYePB2bGtsWfkbYvlUr7vfLKK++EJGgcx0dCiAQrUHzIQOHLOTdioZNm7yF3pzpRRNZDloKZ0dq1brFYPKS3t3dSFEWPINuT781fKCK/qtfrH50zZ86of9w1ew963MpNQAPwyv18VqrZ5cL6XxIR9IGeEULACg7BFlW5v2DmsnPOxHHcYYyZgeBDRKlzbiCVOFoD+5Z5v+yz2PJ1zm1grf2TiPwRK6kQwidfeeWVGyZMmPDP3FHoJOdcNFrzaZzXWgvFKKR2YTG4N4K/iMw3xsxDwQ4RYS8ae7LIEqBn90XnHPYcXzU6Ozu3q9VqMIW4Eqn0/v7+nW+66aYlUp1JkjyKymRm/iYznwaFr8XPlYt94HmhcOze+fPnv3/TTTe9G+lwEdkdghkwdCgUCj8TEaz6LvbeI7PwWlrPy4QSHyv1ev0BXMsYg8D6iRDCNsYYvGO/McbMRBV4HMfXG2NgMoFU9H3OuUuW6cKv8+P8wwYCKyhEg7rZjpAGJSLs2WPFflapVPpGvV7/aQgBamDIPuy0tCr80ZyrnntsEtAAPDafW0tmjZRqCOGtWFnFcXw0M9tc3xdtNLNQdQuLPqzSvPc7YF8PbS8iguBzOHpZ4zhGaw3+iKHnFq0zTY+8VehcEXlXmqb3xnG8M6pPEcCg8lQoFLAX931mngCbQOwZMjPEMdCihEB47wYbbHDmU089dbr3/vNNX3iEByLYpWl6XZIkA/rMcA3CH+kQAj5MBlZTEKLIsuy9xWIRwRpc/hNC+ChSmVOmTBk/efLk04gIEpDfrNfrP46iyC7N1QhVxt3d3X8sl8tJFEVnhhCgUvVnbANYa9+MNCkzvyPLsgvq9fqfSqXS0caYnVGUBZ9fFEDlvr9bi8jD3vvjsK3Q3d392xEiaOpnqNDu6+tb1xjTl2XZPlEUQZMbQQ4fAXiWO6FlDPv3pVLp0lmzZoUkSa7Hsw0huDRNkWlAsR3EUN7inIOHctPDWnshfpdl2U+6u7tvyPuxUVEuURRV+vv7pVAonEhEWIl3od9bRD5ojDkbGQJm/je2FlAMyMyzq9UqPgR1KIHXJaAB+HUR6QFLIwBNZCKCCP9vFixYcPikSZPwBxBOPbDMuwe/q1Qq2FP8FMzqnXMTrLU3Q0QCf8ycc+gnbXrgXLl05MIFCxa8e9KkSbAOfAZyho1z5VaBqORFkHsz9llRmIS06/rrr3/YlVdeOdAvvKJHkiQoWEPK9yZjzAVZlsGl6C8hhIsaFcgQz8AHBBFt4r1fA4IbSMfiN957fGg0PSqVyqdxbiJ6FCvmUqmEVTb6WC/03uMZUB5oPodtA1T7GmOwKoeYR0+xWHxvo4it6YsupwNzByjYQULw4+vGGOxVb40q6EZNQZIkbzfGXB5CKHnv97bWQtDjBEiApmmK4Nn0KJfLM6Mo+iJqB5xzB1trnxCRZ+D25JxDTzdNnTp1nba2totEBJX00NWexszgdsNQ2wZNX1wPXK0JaABerR//st28tRYyh+8Skanz58+/Y5NNNsH+KtoxjhvUqjFQVUtE1SzLro2i6OtEtA4R3eCcW0I7+LVmBFN4VMcaY9Cm8uUQwpPGmJ+KyBnee6xisB+KAILU5C21Wu3YYrH4AWPM0agQFpFymqZ/Xba7Htmvc4MFyEvahQsX/mzSpEkIrGgnOrXRq2utRQsS9oTRQw2XoQ3Qi4veWe899iGbHkmS/Ayazcz8VxRTYW8Y9y8iJ3nvBwrBKpVKZwgBwS2CXnOWZc9CkzlvPTp6tPful3YzSZIg+P3AGHNHb2/vzcViEVaMb4S4SJqmWB3jOb8XvcxEVBMRSIHONMYgQ7MghPCu7u5uGGo0NXAu+Dtj3zvLssujKDpNRJCxgMHEQGV6Xon9Q2wVZFn2jkKhMDWEcDYz/xpBu6kL6UFKYDECGoD1lRgxAaTcQggvNFYc2CNm5s9hP9EY869c9QjiC99mZuztId35oogcg17i9dZb79jhrEjzFTfOMS3vq10vy7KvRVGEwAYxBLSHfIaI4M0bOed+lP+xPsMYU6vVanf09PSgAGqFjziOUR2Ole2A8EW5XN43iiLYB6KlC2lMiIgg3foiBE5yA3ukYW+GZGahULh4KAekpd0IMgGoRhcRuA9BC/qXzHxiCOEEqGhh756IDoF5w+BAmwfuv3jv0ZO7wseMGTPWLhQKaIN6xjl3VmMCUBwjIqTyIbb9CHpzQwi/N8aAJ/aEsSe+EB9cw+GE86N9rlAoYGsDzwh73ZDshLznLsaYu0IIk9ECJiJ3ZFn2656eHmR6aPr06ZsVCoWDQgj3Nf7ZCgemFxzTBDQAj+nHt3JOPlfCejczZyGEP/T29k5pa2tDdfLJWZbBOODgoSp0m7mbXBzh/Hq9/o5isYhV7valUglBH2nu+agE9t5jhT0mhrUWafhpRLS2iMDB6FQRuTa3EPwO0sPL0nKTJAkqnGGXeJWIxMgGYLWYB61e5xwyFmNiWGuPg1MUET0vIljh4n/fhvYgZj7FGPORarU6sEIe7sj72++t1WqbF4tFFBm+R0TexMzYX15ERL90zlWGe149Xgm8FgENwPp+LHcC06ZNG1cqlf7JzBE0jvHHPsuy/dCqBHGKer0+YaSFKlBNwoTnzp37zNSpUzccP348VtpoQdovl3/8VKM9Z7nf2CicELKOxpgbc6EOODTBX/e84WgsNzOtPM36Iyg6wUiBiA7LsuxdPT09A6ISY2HAs3nBggVo8cFedhtkR3NWSKMv86hUKjtCZCNJkiuZ+cg88CIr8VxfX9/2eOeW+SJ6AiUwiIAGYH0dRo0AhCNglcfMD41W32be8gRd4y8PpWs8aje3nE9srf2IiEBu8vhmzBJGcnlUkRPRBej1bVSBW2vPcc6dM5Lzteo36DdnZmwv/MM5h+rt5T7yimqYiRw7Ws9juU9aTzjmCGgAHnOPbOWf8JQpU9aYPHkyin+Ime8PIazNzFejMKvhSLS87sJaC9MDpAiRknyxr6/vkLG0UjnggAPesOaaa/4GBUDYmxURVJUfPRyf3WZYJkmyKTNDGxv9xtj/Hc/MZzaUuZo5x8pwjLUWMqdb5oV9ByGl3tXVtYRxw7LONUmSl5gZK21sDfzXe7/Nsp5Tf68EFiegAVjfieVOIEmSLqSEiQiOOl+GZR5E7InoZHi/ZlnW3mi9Ge7Fc+F+9P1+yhgDoYizRWRPZj6OmV8hor855waMIMbCqFQq0DiGuARsCT8Pb2K0Kb388stHTJw48ep6vX7SSJWVkiSBtSGUyS4OIdwpIhBIgUIZKqtR5SvOuUljgRPmmCQJtJdRmAXFrp9GUQSLxXkhhHOMMfBF/pJzDmIlwx65occ3sizbKYqic/HBiH5fZt4070n+/WtpdQ/7gvoDJQBJPqWgBEZKAAIGIuIbRUK5yMaG+OMlIudDLcgYs1WWZWcbYz6KFhvBpjDzrfV6/YLhViRba+FLux0kJyGHCe1dtKsQUYmZXwgh/BXFMyEEtIs83xDsP+aYY4pPPvnkQS+88MId8+bNe2mk97ssv4OvLqqgq9Uq+lUp73VF2rndGANP34KIoEIZloPQREaLViYiVVR3D1f1KUmSK0TkFWMMgi1WiIeEEE5hZpge/BfbAkR0OiQg6/U6qnhvw7wgnoLAsyKESpbGs1wuo8d22zRNB1i1t7fvWCwW0WKEtPMv8l7zNfDMieiT+b75bcyMlqTzh1u0liTJR+v1+t+iKEK1uGPmO0IIn4fOuTHmXhQOMvNRIYTfQn4SgjKYF8RojDETnXNfXZZ3Q3+7+hLQALz6PvtlvnNrLQQP0AN5vHPuh5VK5Q8isqmIXDTISu6Hucg+KpPhKQvtXOwNd++4445HnXPOOU1LHCZJ0oN2JmbGKhoVw1j1bCwi13jvUTSDP4ofZ+YvMPM/MI+8/entRLRrFEVbrQgThqHAJkmCdCaUsK6s1WpnFQoFFKn9Nw8YEN/ACu9YZoabETx9nyKiNbEyZuZ/DXev01qLoPtOOAcxMwqXYHfYgWrohstQHMd75+IbJefc5+BNDH1qyGV67yF60pKRJAkkRN8iIqdB6SqKop/kesxf8N5/N2f1NWZ+n4j8C9aFsARkZjznu4dbb5AkCTI0aG37Kmws8w8hg/1faFHnHybIHHxdRB7AP4+i6AhkX6CCZYzZvaurC89XhxIYFgENwMPCpQcPJoCAgeALIX9mhjsS9KBhTH6dcw7tRgiI+CMP2ccNnXPbdXZ2rlGr1R5DPypkGodDNI7jk4wx7yCiPzjnzrfWQs8Yfb1fb6xK8n5R9IbuVavVNhk3btw5IQSsNM9I0/Ti4VxveR47c+bMber1OswTIDmJ+6jCrIKIEFT+hGtZa9EXDHWxRcx8WAghMcaclWXZx7u7uwd6mpsdufQkAu9LIrKVMQZa0ggu+FhB1mDAkSnvfT1MRLZmZqw44Vf8Q+892pVaMvLKcBhowHLxPdbabmbeqL+//5g5c+bch0nNmDFji2KxiL5g6GdfkgtlzIUL12B/6mZuAKl6ZoaN5b+dc9skSQJbx/uiKDq1q6sLzwjv8UbGGGRWYE34HqTviQiZC5hXXJ+m6RPNXEuPUQKDCWgA1vehaQJxHO9mjJkWQkDK7WPGGKhOTcpVgyDxOOBtKyL7wMQ9TdM5SNNFUQRhiScbpgy5oIYNIRyXpuldEI1YmuVdpVI5EWlbCDQUi0WkTf+bZdneMGMvl8uHGGPgk4vrwoDgTugfQ4CCme9FHydkHSGtiOwq+kW996cgSNdqtQVDGRo0DeN1DjznnHPM/fffvws0q621SPVCLAQiGxvl2tQT4OoDNawsyz4/fvz4B2u1Gv7A74F7eu6557rnzZtXt9bey8xY5e/jnEMGoamRJAnS8ZsvWLBgXH4eWCJCV/ppY8yx9Xr9+SiKoIiFzATaa7BaRuER2rwgbBE7526DjnWWZb8bzXal3Mv5yCiKrsuy7HARwX4+5nUvEUFdDUVjL4vIWtj7j6IIqeYvIY0eQvhvmqawT8QHBVTXdshXwV+31iIzA+W1JYa1FqYdDunn/CNSQggXpml6LX6XB9bi/Pnz19544413N8acC31xfGyGELANgiwFdMaxh/5wvV4/pV6v88033/xcUw9ID1ICuges78BwCSRJgpUU/jhuaoz5MP7o5H/IzxKRGd77/bH/yMxwAEKA/pRzDhZ4rxpJknwaBTUhhKuZ+Qjv/ZCCENZa/KGD8tABKOhq7AsOPlkcx58zxpwjIlB7gvnAR621N4QQnsUeaO5vi1XUD3LRhq+EEDqGu1IaLitrLUwqsN+KtO4xWZb9I4oirD4RHLdwzm1qrYU+NAqlsKL6EeY+3OsM5/g4jmcYY7CHiYBWyDWnoRN9Cdx9oJu9cOHCH0yePBk9yViJTwghfHi42YrhzAmmE5MmTcLHBVa3eFcwx93yAjuYaOxUr9c3LZVKLoSARcMu0NV2zkHn+1UD1oXGGNg+ohjrGOcc0vhDBWAIoIDBx733UBxbYiRJcj4yESjuCyGM995vniQJ3sWnmXlvEfnCK6+8cmVbWxuKwqBLPmlp1xsODz129SGgK+DV51kv853mHrdfQl0MWmaMMfjDg1UmVgfd8Khl5iIEEmArh/05Ijq1kY4ePIE8zQhFppOY+WUiQpXu77z3WC0iHXuciHwGbUwwVgghPJZl2aFz5syB2cPiwfzkvDp2PEQ5RAStNofVarVnjDHbFwqFuSJyN5S5IC8InWjvfecyA3mdE1QqFWhQI7UJ31isYp9iZnyUYB/8DBEpMrPHH3IYATDzjYPlF0drftZauEb9FCtw2OyJyMtQywoh/McYgwzGVbmMJWREb8+y7Kienh74Bo/KOPDAAydNnDjxk8z8UWa+MIRQzn2Nvx1C+DU+8EQEHsdwGULFO1bE6F8e0GkePJCKDiGcyMwHo+CPiGBz+EVkY/L3CoppO0JfGx9hzPyY9/4tSwnAZWbGlgDkT6E/DnctWDeekWVZKBQKyKzASQofVG9FKjrLsq+oLOWovCar5Ek1AK+Sj3X0birfw90DKVVUH0Or2Dk3kAIsl8sToii6MK8Y/ZCI/AW2eq81m9zVBv60Jsuy07q7u+/O/1DuBO9epGSzLDsYWs5pmqICdsgB27woiraBmAUz31er1ZI5c+bA8ADzakfLiogsxGquUCiMq1arvxw9Sv/fmXM95m2xskR6Nw8EA049M2bMeFuxWESLCz40bvfeLxc1p2buCbrUURQNWA8SEVaVl2IrAL/Nq6Cxfw/XnwNQif16z7CZazZzTK4l/msYSOCDrpE+xrNl5pONMbsSERyeUDQ2YEG4tJHvCSPr8VyWZRc3xDTyGgE8gzVCCJUoil5a2vZH49xJkqCoDx9sN2dZdm7D6KGjo2OzLMvwQToVvtPOOZiT6FACTRPQANw0Kj2wQaC9vX2rKIreyMzwa/2B9/6YQX+8P4SUMjR0sTJY2h4cjk+SZCoRYV8ZaeIN8xQz2pdQ9IJVDHqIf4fKU2a+HZXWS3sKKCgyxmCf99N5odN7G3rTebsIUuJvg5YwjCK6uroGAv1oDnAqFArbw2iemTcQEdgKvg/XhHcvUqXMjNUVKn1nz549e1iWgyOde5IkKEbbhJlhxnDH/Pnzp953330DNo05q6NyreVfwKN4RQRgfIiFELaIogjORHhOmXNut/y9QsYFqXu4RN0OcwrnHLIuWOEuMZIkwcoVxXroE4cL1JlpmkJDemAkSfKcMQY+zDDtwAfGwOp4qIGPFWMM9u0RhH8GL+VGZbS1Fh8ocLDqZeZdC4XCglZZOI70XdDftZaABuDW8h9TV0dh0YMPPogik0VYTTIzKj+xFzewGslXHdvlFoX4QzouD5z4Q7XEsNY+IiJvFJHvGGNgRn+jiHw3hHAHHI7gEiQiSE1OFhFUpp491EoRkpfGGLj+TDHG3F6tVm1nZ+f4WbNm4TcIKrsxM6p74UOMP8wL4MZUrVZh2Tdqw1qLSt5x8JBlZlTo/qdRMIQiIBFB8IVBwg4hBKSBH3XOYZU3aiNndWuu0/1N7Gei2Mk5NxcXtdaiaCnCnjuyEtjXDCHsNZo2jrkbEXq825kZe8HY20WKeXr+/HZg5s2iKAohhDS3Dbw3TdMl9oCTJEGhGbYxGPUAeD+JCC5QsCs8CitZFHIhxY7Cs7z/+izvPTyjXzXyQP4dFIShcA5WmEjJN+wjy+XyNsaYS40xb87Vuf6ZZdn/rYgPllF7QfTEK5SABuAVintsXwxi9SKCVhV89Z/onMMe4RKjXC7vb4zZAn/PYStXLBY/P2vWrH80DkQhEEQUmHkeVq1Zlp1njIE5wNbGmPejT5iIHkQ/J7xhjTFfFRHsp6J16VWyg3Ec75w7CO2EeSFQD9VuFMfxmsYYfDDAKxh/oKEn/KtqtYoARJDPnDRpEtxvFjnn/tnsk0Jwj6Ko2N/f/+dGyhu/xQo3iqK7sHKDSpdzbshCn9wNaTL2GUXkbyhia/baIzkuSRIEFBaRbSFLOdT+Z6VS2TaEgOI3mDds19/fP+2mm256snG9gw46aGJ/f3/fhAkT1h38z5udDwJXd3c3guNAOxGUvqy1fw0hfByiJER4AHgAACAASURBVM457OUv0R+eJAm2F/aCPGS+t/sJ7z2qpP830MqV76+jUGrnKIr2QmV1COFNqODHirdYLO7Z19fXFkVRBZ6+RARLwf90d3f/7x0FA1g1EhEsCtE2t473fon3HZkXvMf5VgLmg/1lHUqgKQIagJvCpAeNhADSikQEFSGIKnzbe39cbp5wDQp/UCAFV6S8vWkGEcFzFeIaaNeBSw+Kqc5wzs221iJIIVi+Ah3garX6JSgmRVH0TfTT9vf3fyTLsklRFMnStKBR+IU95vb29t0LhQLEL96IlZ5z7kH0mqLHE3KZzjkYvTc14jiGGAMKye7Jsgw90W2YHzPDJOBQ59x9uD+0Iw11wvb29nf29PSg0hcr9c40TaHXPGoDfdkisqC7u/uPjVacoS6GPeo5c+b8oVKpdBARVqe/DCEc/cILL9TWWmutoyCX2XgOzU62s7NzUq1W64LASAgBsqQoSrsvbyf6bpqmV73WnAZfp1KpoLAOVdovZVl2nDEGvNFXDp3onavV6sNxHH/ZGFMWEQRzBOQ9ReTfzIwV62fhODV9+vQ3lkql++GZLCJw1HqiUCiggn4jZp4PW0i0PxWLxTW7urogp/qqgY8JIprcqF1oloUepwRAQAOwvgejSqBSqUCBCanE9SGYEMfxw/hjGUXR9rNnz360cfEkSa7NK2/RnoTCrZ8S0c8WLFhwTEM+Mg/UELP4o3MujuMYKdQnROTm7u7uJf44vtaNWWshfoHq1+sWLFhw/OTJk/+DdqVSqXT6cPfxrLUQYzgJ24v4Q26MuRXFYK0ytV/eD9Rai5UjPlC+1tvbe0VbW9uviOihLMuOHrxqbOa66OtGMVoIAStLFMl91xhzXLVa9c38vnFMZ2dnqV6vQwt6qvd+E5w3hICCqPd7728c9F5BXQyV5zNEZF0osOG9cs4d1jgGWysPPPDAv3LFsb2SJEHF9++991B506EERo2ABuBRQ6snBgFr7WzIVYYQDjfGxESEYIwOkRr+cOKYSqXyQcj8QchDRCD08VIURdiTgxPNbO89/rDiXCjCQhsR+jxRlYr91Tcz82+cc9hzbmqUy+V10ULFzL8WERTgoJXqreg3Zeb3Yz8UvsWNPeTXCeSHYr8Sqk0hhMnGGKSSH0cRUAgBK9rl7tTT1E0up4OmTZu2SalUemTga535TyiCytPD0JU+elC2AH9LhiyKwioTqWpr7SeJCEV2dxLR7iKCLAS2DqKXX365cuutt0KYpKlhrcUHGvb0b8/bp5Aexn+eX7BgwSYQH8EXmjHmBrQHhRCuiKII7xOC8VQROTlNU7xHeK9wX9sw888RePFKokhNRB7y3uN906EERoWABuBRwaonbRCI43gHYwz2jjdGn2ce7L4cQnjIGHMkMx+KdqV6vY69z3V7enpQjIU91G0KhcK6kE7M+1KRxl5TRCCW/31m/gOqT9GWkmXZLVDGGg71jo6OXbIs2weV1iKC9PC/UJUcQoD5AdLAUDn6hfceq+xXjVxxCX+YezC3LMv2KBQK+GOewaMWgv5Zlt2dpin0nMf0yFuD3oA+YfRWo6KbiLY1xqDK/YdYUeZ7pVc655BWftWw1kLZCivVTmOM7+3tXbutrQ19s8+LCGwq54QQfrXOOutcf/XVV8PNqqlhrZ2C/X5mhswpKszfnhtz4BlApxkiGg+hxzzLsr7BLWww53jqqac+LiLP5ZX2aEuCaAoq6PFOwdzjSLyXDZnQpialBymBYRLQADxMYHr4yAgkSYI9u8uNMdeFEFDZvC16OyHFmGvwYjWzxLDWojIa7jgNByT0BD/d19d3S6lUgnjFho1CquHODO5KcE9CnygzH5OLYpwBhSTs62GF1WhlGnzuSqWytYhAEAQBY8DDF4ViIYQbjDEQeNjBe9/0iny4827F8UmSnICKaASlfK8VARXFePgIgTTkQu899u8XD8AoeMOqF0yhRY1gh17eGyF7iQpx7z323kc00FIkIvAFRnvSz0IIcEXCPneMaunHH398j0aL1eALWGshqLE7gjRco1AJzszYz8XcTkTFdFdX1/wRTUp/pASaJKABuElQetjyI2CtfQyuSbCPwwqoVqud/1rqQUmSfIKILjTGtKE/ta+v701z586FXvFyG2jPQTUrM8PwvRs2dNVq9cKlXaBcLn8EVbXMjBYr6AGf6Zz7X6/pcpvYSniiOI4/YIyBrOdTkLXEM4Gb0tKmaq09D57HxsBgaMAS8QuvdfxIb9laixYmFFjBNetWfBC9VhYCUpPGGBhgQKWs1Nvb+4ZbbrkFHwo6lMAKIaABeIVg1osMJtDR0fEOaDLD1ej5558/+XU8etG+E5IkgU/ueUgzhhC6RmNvNUkStN3MDCEcmGXZ7we3FS3+BNG21NbWVhs3bhwcme7o7+8/fCQtOWPxzejo6IBoCiQ0ockMX+bXTdXm7kV/gTPVuHHjbmhmf324bJIkgULbXGPM7Gq12pSbUy48cpGIfLlhoTnc6+rxSmCkBDQAj5Sc/m5YBLAXCCWrjo6OPUMIEMDAXhsKlPYVkQdF5PTFxR7yFpHvoLVERLC3CoF+OCI9vnDhwmMnTZp0TH9/f9fcuXNHlCpEPytuYvz48RCcgLUi1JUgg4iWlpfq9fp+aMVZ/EZzYQ+kZNHegr1guPR8A/3H6P+t1+sLRzqnYUFdgQfHcbxflmUPjhs37q0hBKSUp+T63xC0gKzlPkNZ8uXSjx7pa+yzExFSxG+s1+vno3UnSZIPe+8H/JBHMiqVCmoHoJYGARP0eG8H9S44T8Flaqjnh+ugHYuI9kOqmYigXw4zkHMaBX8jmYv+RgkMl4AG4OES0+OHTWDKlCmFyZMnP4Ne4NyUAL3BEOpAahmFSm93zmHP9VVj2rRp40ql0i3Q880Vs36ct6583RjzIxH5vyzLtmpo8w53YnEcw8rw//L9yW0gSlGpVF4Ukc/lRhBXwHd4iAD82dx9CX2m+1er1d2ttZCRhMvQhZAtXJHazsO975Ecb629gIg+AgEMItrBObdR3joGZTFsB5zV8GQefH5r7WdRaIyy99wtaGtr7X34n3mP+Hucc0MqpTUzzzztjLahPfJnhkvBqhBV0uW+vr51586d+8Li54IKG6qvRQQWg0cbY/4MFTb0B4vIs0Pt/TczHz1GCQyHgAbg4dDSY4dNwFp7EBEhoG2OlY+IQGEJrUMQyW+HIESSJFcZY75TrVYHBCkGjyRJjo2i6O4sy6ChjICJ1VYv2n3glJNLDl4zHPGMSqXyzhACVl0woYcG8oCdHFZyRPQGqFEdfPDBbx0/fjx6i9GqBKnCezCvJElg2bdh7gv7O2MMqnAhv4k/8lBBwrmeN8bA5/eU0ZRwHPbDGMEPkiSZjqpzuFFBzxpuV2BCRMge/Cev+IaqGT5ArvDen4jL5P7NKKDDyveELMukUCjAMhJqY2A9Lvf6RXYD0qbIgAwYQjQz4jh+jzEGVfXQaYZZA3qKoZCF9+NqpJPzbQtolb9KLQstZn19fcdBFKRUKkG3vENE1mPmv+cmFFBMQyvZzs65PZuZjx6jBEZCQAPwSKjpb5omkPvPwpv1qRDCRagWztPP3xtqdflaJ869Xr8uIli5oAjq+1DUEpHzhvIJfo1zsbUW4v4Q48C+4bMi8mGklOv1+pSenp4Bp6RKpQKLPmhIL/LevydJEqTOkap03nsE3oFhrYUUIQztIZX4DxGBI9Tt8LNtBO6mga2EB+IjiJkvzbLsEKiUQWgEQbhWq33ipptugpcwGKAf+uwQwo/SND03SRKYXnxKRD7fKE7r7OyM+vv7Yc24mYjsS0TYpz0ULWUN44Vmbx9zMsbAw3iWiGC1i2AMm8cbvfewgGx65G1l0JC+F3v5pVIJWxrwlr50uAIhTV9UD1QCqoSl78BoE0iSBAL4SMv+2xgDqT/IBaJN5CrvPYQZmh55ANwdq82FCxduPmnSJFThtmVZ9sk0TbFX3NSI4/gtSD0zM1bV8OBFwEAwhufs0Q0lpUqlgh5kODWRMeZcSBUaY75Rr9d3SNMUK2EEaaymEZCQ+jzBGAOpRayCoeyEwp6BlfNYHpVK5ZYQAryLr829lk9l5noI4bQG9zzVjBauF5DKZeZTiQgFdP/z7YVuMqRFjTFb1+t1uFdBlOVqIvp2vV6/GJrQzXLCypyI8Mznee8PyzXBMb8HvPcfaPY8OA7V0OhzhqQpsh9JkkCN7WyksnVPeDgk9djhEtAV8HCJ6fHDIpCvjCCacH4jFYj9RDgB9ff32+G0E1lr0VM6PYRwVJqmj0ybNg0avSiGqjMzNKLR57LVUP2o+R/aL2DvmIjeF0K4j4iOb5gfwAc3yzIEhd4QAvSCoUv9FmMMxD/Wg2B/3rOMgArz9TuQZs6F/6Hg9HPvPSq18QcdaktPwIyhq6vrP8MCtpIdDD1vZv5ACOGvg4It1KtOR3+2iBxqjIGyFIIeRDkeNcbAnhK9tZCEhMoZ1MZmMzNETdAHfmtDGCOO48OMMVsR0V4hBKxqL3TOwVBhiZEkCYI7eo2fwMeAMebbzz///EXz5s0bEPBIkgSr4C2996cMB2OSJF14h+r1+qd7enr+nVdsQ3DkF865AbUsHUpgNAhoAB4NqnrOFUrAWvsNIjoGRV7IhkLisqOjY5OGkAJWRyi4wR/svOhrjXq9fnxPTw8MH141cunMd6G3V0Q+hgpdyB4aY87Lsgyp5n0RMKDuJCJ34g+3cw5GEqvdsNaieh3CGufBOSnLsisLhcIdWZYlURRVjTF71Ot1iF18lZmRqn6zcw4GGK8aM2bM2LZYLOLfQ+Vs+yzL4EIE9aoBCczGSJIEzxlBv2SMecw5h0pmHUpgzBLQADxmH51OvEEgL/SClvSmuZbvRlmWfbC7uxvavlgZXQMfWBFBwJ3IzL8PIXxmqLaZfM8a6UgIc6BYKENfMIJBbj034PFLRFhBQ8kJFc/fXR2fRkdHBwwOzhKR3YgIBg2ohr7BOXdlkiQHMvNlRNRGRBBcgcAJBDiQgVhidHR0XBBCQGbhFRFBJgLmHQNtYhBiYWa0iBVg3gDlq1KplAy2uFwd+es9j30CGoDH/jPUO8gJJEmyHQp6UJFbrVbbBwVopDRRNLUghNDRjEZzpVI5LYRwQZZluw1W6UqSBG1LsCvs9t6j8Gi1Hp2dnev19fUdYIzB/iss/gaMM/LAORXPAun6Uqk047XENwYZNvyEmWGO8a1qtXrNoHPdAYlJ51wBFdavJZKyWj8QvfkxRUAD8Jh6XDrZoQigX3jcuHEbishpzLwD2keyLJva2Ge01qJFaA2sWkUEf+AnovBqaTTzIpx2rMSY+cfOuQ8PCuboE4VutUMb1OrsA2ut3RVBN28r2xzFZ865rcEKwh3M/Lk8mOLvDIRUbqxWq98ainulUklCCPB3ZtgcwkTBObcmjrXWQi4Szwv76fCKlqXtE+v/Q5TAWCKgAXgsPS2d65AErLXw391HROYz819RgczM+zMzqmQhrv8P/PHGni72KlH9XK/Xd1nKHjAE/bcwxsAq8YZFixadccsttwz0kVpr0bMK20KYSEAJCn2w2ItEde9qN6y1d+Zm9+9iZpgbfGWwF6+19nj4IzMznJOg04yK5SUkIvMKZjhSwdQhiqIIDlPoN4aF5YG5MApcqsoohhMRGHP0e++xUtahBMYsAQ3AY/bR6cQHpSfPyAPuvSICh6RH0CLDzG8TkYZtIf7AozUGx6Ja9tparXbTYKlCa+2boU/NzB/OsqwC5Sbv/RIFVnEcb8TMx+fB/gjvPXpaV7uRi5Jg3xeB8fqhrBvL5XJijPlJCOFduYEDerfv6e7uvmNQVgHtaBeHEI4wxuBc2OtF9fnB6NXGKjqEsC+sD4kIRh7oK18zTdPLVzvoesOrFAENwKvU49SbwaqLiL6KQJxXPD8Mb1dYHoYQ9ocyVd5ag+rdzWHMjsBhrT0JFbbY311aoZDSXTYClUrlRBFBgEUWAR9CA6IlkLbMVdEGiuastVC1egltXyGER4wx6MVGq9k3RsNFadnuSn+tBEZOQAPwyNnpL1dCAjNnztyqXq+j0naSMQaCH/gDDzWrc51zUOEaGEmSQE4R1bswlb9MRH7AzDAKOL9arT67Et7aKjGlJEnOhUgHMx9IRO2wJxSRi9M0hRKV5AEYZhiPQEmst7f3q21tbbB5fGh1rTZfJR683sSQBDQA64uxShFAWtQYg0Kpz2RZdl0URbtAApOZ14L3sHPueGsthCJgh7gQwhF5+xIENrYzxlxTrVa/skpBWUluxlqLDyGko1HRPAHFcngGSCdjr979P/auBEyOquq++6q7JwtLAhJAElYREJRNFnEhAiZMMlPv1cQRZBMUUEE2EURQZBXEFUVUNhEU8R+SelU9kxEEjCgIakBQXMCNVWRNWJLMdNe7/3fGar5JmJCekEnSPfd9H58xVFe9d17Tt969557jHPqJ8XIEUZV/MPPBSZL8MU91H4fea8hcriXLkWkIAm8YAQnAbxhCucHahEAYhusuWbLEDzZWb21tnVwqlUDYuY2ZP621vpSIDmTmt+P/K6VuUUr9Q2QHR34nd9999+LkyZNhQ+nBWIeIh/f+Xq01dLYh3/n3xYsXX37zzTc/P/KzkScIAmsWAQnAaxZ/efpqQgA+vVpr6A7vAuYyM6M16S9aa7Qm4UQ2M47jVw0WVtO0RuVjrLVIO8PwIiSiI8COzmu8b4WPL3q2xQ5wVH41Rt2iJQCPui0fvQuGCTvqwrkoB2QP58dxDM1fGWsIgdxnGCWB9bIsQ0p6q3K53D2M6VB7e3tnuVz+v2F8Ri4VBNYKBCQArxXbIJNYHQhEUbRTlmXrB0FwjPc+9N4fXy6Xh5RGXB3zkWcMMJ53h1+0Ugpe0TBvuCtJEsha1j2Q1p4/fz58nWUIAg2FgATghtoumezKIhCG4TuJ6Hil1N5Qw1JKQSZxChHdXq1WLysUCkc6545b2fvL5+pHANrdzDwR5DciupCZ4Ua0GzPDFWneK6+8Et16660gZ8kQBJoaAQnATb29o3Nx06dP32C99dZbPFh7OAxDmCv8nIjuYGa4HUEpCxrRIGF1MzMckjqeeuqpl+U0NbLfmyiKLoT3svf+cCL6tHPu23nvLxjOYKAf4Zz70cjOQu4uCKx5BCQAr/k9kBmsQgSMMWcR0SlQZnLOnYi6LxEhzfk1rfUX4ji+2Fp7JDNDprI/N42HXOKz3vuC1vqjzjmwomWsYgTa29u3D4Lg3lwkZZvcbeoaZj4FJ+EFCxZ8f/3110dp4DdBEDxcqVR2gVKZtRYewEdjOs457KUMQaApEJAA3BTbKIuoIQA5SQRXItqDiFq995CUPJ6Zj0mS5IbadcYYSFV+2nsPdaYntdZfRECYNGnSYVdccYXUE0fgKzV16tR1JkyYABnJD+ZZiAlKqR6t9emDe6/BWC8UCndmWXYSM/cEQYAMBdjRJyVJ8ucRmJrcUhBYIwhIAF4jsMtDRwqB9vb2fbXWULTCSSvRWn+EmWGs0DvYQae9vX3vIAh6mflQZn5Zaw2XHjj5THfO3TZS8xvN942i6BPMfHGuz/1tZoY381fh0ayUel+SJPd0dnaOrVQqMG7YKJejRLsSSgaZUupXzjmIecgQBJoCAQnATbGNo3sRURSdy8wbMTPaVyKlFNi0R2utZ3rvIfBQgKmCMQaetbdrrffPsuxHWut3JEkCqcqBYa2F5vD3cu3ot3vvt0nT9JBl0Q3D8NBCodBXrVb/EQRBGsfxlNG4A9ZaOBS94L2fgJedNE1f9e8djAdSyMxcgZYz9oWIHo3jeMCMIe8JhkPVX2BDqLWGY9UCpdQfiQgmF7A8nMPMdxPRNCL6rVLqXcy8TZIk249G3GXNzYOABODm2ctRuxJjzIzcZvAVZkaKskcpdTYz36K1BtP2Ge/9zUQE+ck+pDOTJNlsKMDCMLwB7jtEtItSCoQtmDUMpD2jKNqQmZHihun8VCJ6mpkn9Pf3b9Db2wtXoFE1rLVPMDPYyrB/3NF7/8U0Te+rgWCMOYqZN9Nan8bMY5RSv0iSBA5HS40DDjhg/fHjxz9FRLcS0fQsy5CihlIWjBvg/9tJRLjHj4noAWZ+Xmv9QhzHHxpVgMtimw4BCcBNt6Wjc0HGmEeJCGnK/yql9syybJ9yuXx3fsr6Agzdieh33vs/wIVnebKTURRNyrKsQ2t9Vn4Se1uxWCx1dXVl7e3t47TWf9da3+m9fxsRfWbSpEm3jtaacV5vh8Xjy0SEkyvw2WLOnDmPt7e3b5WXAiApuYCZnyCik5xzON2+ZqBHG2SsPB0NmdATkyS5DheGYXgMEX2fiH7DzOtqrf8Zx7Gkokfnf+pNtWoJwE21naN7McaYveBopJR62Dm3W81dJw/Cf1dK3eucW+GpCSeycePGoZY823t/Zpqmr6plhWF4oNb6u2BVO+fEj/Z/aeTPKaVORVtXLbUMzGfOnDmxWCwCK+wHxDZWOKIoQrp5tyzLZpbL5QcHnabRonQoWpSI6Enn3L9XeDO5QBBYyxGQALyWb5BMb8UIhGE4k4jg57sVEeGHGQ5IX6855xhjFhJRi1IKKePFRHSIc27+UHeeNWvWjlmWQR8abjxbE1GBiN7tnPuttRZa0XjOwKnOe7+AiH6WJAn6WkflMMYgdfw4PH2Z+S9Jkuw8KGg+QkSbKqXw75+CE5Jz7tJlgZo2bdr4cePGzWTms4noHmZGkL3FOTcT1xpjjoeFoVIKwRn93Ds754JRCbgsuqkQkADcVNs5OhcThuEXtdZnginLzP9NkmSrzs7ODbq6ugYcdaIoemulUtmyUCiA9Qyzd6gwvXcoycMoim7PWdNbg8xVrVZPDYLg90hho49YKXUU6r/MjDamB5RSb1+0aNF6g92XRssuGGNApOonou2Z+f4kSdqNMY9prfcD0zlP+z+ilAI566dEtFccx/D6XWrktfVfIVDDoQpErDiO4Yy01LDWwrN5D7wYwcUqSRKQumQIAg2LgATght26xpi4tfbDzLyeUurfSZLcjFlba+fBDzaO4z2HswqwacG4TdMUBu0KdcYgCKCYtKf3HvXDktZ6V+fc4UP8yB/DzKFS6nJmPoyItmLmZ5Mkwd/hlLWXUupkItoBtUrv/bZEBIb0ryCbSERg3oIYBJGOEjPfkZOGTvPe/xeErzRNYbOHe/UQUSXLsgvL5fLvhrPGte3atra2zYIgQKsQAizIZ9g/mCeAIFVyzk2PoqjDe38gERWJ6APe+2eICKQ0pJDBZP6l9/4LWuvUe3+5UuqBNE1/j3vl9V2IcpzonBuXB/XrkyS5alkswjD8QKFQ+Eu1Wt1Ba30GWO/MPK9G/ArDMNRa7+2cw8tY3cNaW8a9kiT5fu1DxpjPYA+HOrHXfWO5UBBYAQISgOUrMqIIRFEEoQv0fv6sv7//sJaWli8y80FEdFc99djBkzPGoBZbZeZ7W1pakkql8hul1PZgzsZxjH7RugdM3onoHKXUD5j5aiK6CS8KRNTmnJuXB9IziehT8Kj13jutNZjV6xDR1c65j9cehhooEV2QZdnxWuuJzPwBIhrjnNun7gmtxRdGUdTFzB9USl2E4GatRZ/us8x8VpIktw4KWl1KKYhrgG0OZvS/vPc/rpUCWltbNyqVSiBTvYWIPphlWVsQBJ8mossrlcrtNdJcPVAYY9DOhGD+befcqdZax8xIWf8hSZI96rnHoHnje3WQUurLOFVba69lZrSzHZYkSXk495JrBYHhICABeDhoybXDRsAYgyB0BRH91Tn3QWMM3IfwI11OkgQ/oHUPYwwCNwQcwHbGaRXiGfOyLPtmuVwe6CutZ+SM2yOJ6OPM/G2l1ENKqe8z866DlZaMMccx8/pE9MUkScZYayFduRj+wbWTcxRF7/Lez0ZaW2t9vPceP/7QOP6qcw4BvuGHMeYarTV6pG/GSVFrDSlPnPBPrwVNkNOUUu9Hu1CpVCr29/cjM4G/w2n2xEEvK2hT8sz8IyIC2xnp6rNffPHFb8ybN29JvWDlQipzmXksESHLgoC8AWQu+/v7j+vt7YXfc13DGAOiGLIm/yAiZEp+RUQv5zVrMeioC0W5aGUQkAC8MqjJZ+pGwFr7LWYGEWdDCCgopf5DRD9kZrCJu1544YVvrb/++l8olUoXdnV1IcAtNay1X/DeQ+ThAWstTr/o092Gmd9FRPCA3dp7f2mapj+ud1IzZszYolgsfoOIoLb0H2Zu11o/x8xIFy/o7+8/BynyQqFwFRFNIKKvxXF8TWtr63qlUul6IpqIVGqapj+11v4Cz2Xmp7TWnd77at4f/E+l1OlQd6p3XmvrdR0dHRA0+YFSav1cOxukqouY+T3e+29rrZFmngEpT+/9jUjFQ9Gqv7//NCJ6R6VS+cKYMWM2y7IMvbwgT22JfcN6ieifzPzA4sWLT7rlllseqxcDa+2HtNbv9d7DWWljrfUjzIyT+n5Kqdk4yYZh+Mk0TRFclxqwL5wyZcpZ+F4R0VH59+lfuTtTm1LqbmYuocbvnPtYvXOS6wSB4SIgAXi4iMn1w0agvb39TRDXV0pBxegA7/3nvPe/KhQKv8Rpkoje6ZxDgPaDb26thcIS1K0QtFFzBBHqBu/9n5ASJqL3VSqVvebOnQuG7bCHMeaDRHQjM6MeeR1O5FEUfc97jxQpTkB/HqqeiLq2UupH3vtvaq2PfeyxxzbYfPPNfwcCGFyWmBmBF2nYphnWWtRHj8aLB140nHObGGPAcq4qpQZOoYNbkGoLj6IINXJkEaYz805JkozNDTOOYGZ8J3wtm7ASYJG19mm0OSml3sbMOMVujJ5hnF4h/pEkScey9wVBr7+//++5XOm+hULhbZVKZVOtNV4ybmDmEyqVyp5z585FZkSGIDBiCEgAHjFo5cY1BI499tji008/fQYCx7NatQAAIABJREFUFsg2RISWkzu01nuipgpSjnNuwO1m8MjbU0CuQsoTHr5IX179yiuvbL4q/WKNMe8lom/iBMTMvXhJICKQs3Zxzl297LzCMDwY/rW5RjFOcdsppe50zrXPmjVr60qlUkzT9G/N9A1AKQHsY6XU74jobKXUBkQE7ezJ2JskSY4Yar1tbW17FgoFtGntxczIDuAUPQ1629ZaqI3hz5esLFZhGO66ZMmSh8aPH4/vyEJmRtbiQWYGN+AK5xy+P68ZYRjiJQsBFgppf2dmVkpdmSTJH3FP1P3TNIUBhAxBYMQQkAA8YtDKjZeHgLXW5o5FF0OrWWv9inMOxJ7ljjAMvx8EAchQD9TY1KsS4TAM36G1RoA52XvfXs+P76xZs7bNsgwp5ju892cjTb4q57S23ssYA3lPpJPRjnWSUuqxNE0hdLLcAYejIAiQrv/z4sWLO26++eaBFrFVOYwxsDW8wHv/3Wq1+u1CoYAXoeXOyxgDNbOPMfOxYMinaTpQTpAhCKwuBCQAry6k5TmvImCMQVoZNUME3euq1eo13d3dTwwFEU6nuRMOTklIRf/JOQdVpFU6oijaF0YN3vu5BPWNQuGU2bNnI7U55LDWgh29KzNP11qjBvyV0dKykqeVsX8BM4PpfF+5XEYGYcgRRdEV3nsIobxJKbUuMx+cpumTq3QD/9f+9TMYNiilUH+/vlKpXN/T04M/v2bkjOyPgJuQy2jie4XvmgxBYLUhIAF4tUE9uh9kjLlSa/0P7/17EODAXoWgRR5Un1u8ePHUoU5F1lrUd18GkYuIoMG8COlfZm7L24K+N7gVZjgoG2PgfASjhr+iJRVmAVrr80E2Qn2SiK5xzn1t2XsaYy4kotqP9bth2EBEWzvnTrDWos79oHMOgh1NM/LT4vcXLFjQOmHChPkwXtBafysn16FX+tGh0tC5TCUwxZ6jjxq6zucz81er1er8IAguTJIEJK6VGsYYnKRPRhsREeFFCP3HeDl4KO/zBinrNcNaC1MOlA8g3nInCFxa68uYGWlxGHB8dKUmJB8SBIaBgATgYYAll64cAq2trZNLpdJZEGpAPdd7f7LW+gCIOXjvoSiFNpJja+IMtae0tbVtXigUQgRdrTUC4de99/8KguAa/NAy861Zlp0fBMEeg0UU6pllGIbbaa3RcgJpSaSOJ3nv99FaIwjfj57gPKjglLTUyE9PqA3DsOHMUql0WKVSQRB/lJnfprVO0Puste6bM2fOf+qZz9p6Tb53cIfCiR+BEq1fn2XmWZD/ZOZriQiEqnuSJPnisuuIouhS7z1Yz8he7Ke1BpEL/boImgiYK6VoFYbhukQER6ofM/NDeW/xScyMOj6+a6g7o0XsWhhwdHd3D2QzUMvObQ7xAoU6Pb6P2Mv/4vuglIJSGqwoDw6CYOM4jq9cW/dG5tX4CEgAbvw9XKtXYK2FqtRZWmvY1sGSbl2cECG4D0ehcrn8rxkzZry1VCrN9d7/H37IC4UCWoIg+/h+iDpkWXZuuVxehFMLvH3RZgLyDnqAc3Wrh4brDWuthUoTJClhMYj+z8e895tAb7gmHFEPsPAQVkp9jpnRd/oMel+JCI4/D2ZZ9slyuYzA3LBj5syZWxeLRchKojcWXCUEU5CpdlBKzXJgnrW3v6lcLj+7okXmhCyUH3DihFoWZCnxz5ThajvDR1gphZP0v3KLwrcTEYLvK0uWLNkB2ZQwDN+stUZrExjpv/Xe34/ecbDuoTedJEmMk7m19m/IYMCDOGfdo80NRDuYSIBgJ0MQGBEEJACPCKxy0xoC7e3tewRBcDzkH5MkKVhrb0PwVUqdVLObw7VhGJ6vtW6vVqtgSK9XLBbxY3ie9/6rCL64pqOjY1PvPVSq5jvnDsnbYBZnWXZKuVwGe7nukZ+u/5KrO30piqIfZFl2+/JM5V/vxtZa9KL+jJlBLvOQXCSi+51zYNM2/LDWIlC1Zll2UKFQWIS1KqVu896fMEy2t46i6CrvPU6d79daoy/8fCJKINIyXKAgoEFExyJ4W2tPUEp9SWu905w5c6A/PTDQL5xnI3BKRx0acz/KOQehkIExderUCRMnTpzjvX9rf3//Ni0tLX9jZvSIQ4AFMpwyBIERQUAC8IjA2rw37ejo2HvOnDkDPrvQYsYJdtnVRlF04JIlS/6Ev29paXE5WelrSZKcjhMxmLNo/fDen5um6Z257u6Xci9fnB4hjrF9LvxwdZIkn+7s7Cz19fWh9xc/2gdC4MJaCws81GD/BTlCPG/GjBmbLK8vGH3F8KM1xrxdKQXpyn/CbpCIfq21hk419J5Rk/x8vTvY1tb2nkKhgHov+kp/9eijj94zefJk1Dw/ycynpWl6RT33wgtBd3f3o/Vc+0auiaJo5yzLwA7+fWdn5zpdXV3od37NaGtrm9bd3X2LMQaSjJBmhOTkpUuWLJk/duxYpJ3xonRBkiTYt7qGMQaORtDxRrbjK9Vq9e5isfhprfVnlFI/d84d3NbWtm2hUPBDseKR+u/t7X0G+tSFQgESonCr+oJzDupqCLZQSHuJiE6pVqs/DYIANoloQ4LACghgSIPvwswQV4HhwzX558AzQB/375IkOd9ai6C7UX66vg5zwUuWcw464K8Z8InGS2JtfnWBIRcJAki/CAqCQL0IoHcSgQrSi3n99Iyhaq/GmDuY+T9aa5CsfuOcW8o8febMmTsUi8XdmfkHRIR0cmfugoNULk6TELQAsQcOOmgNaSci572/MMuypZit6NmE+06eBkaadOOhNJjzmi9kJ9E2dFa1WoUM4mM9PT04BeN0DSP5Rzo7Ozfq6upCKrmusbyAj7YmIurJTQOOwEk+TdOfL3vTMAwh32iJaEeQgYaqo9Y1kTovstaiZvoizChgEeicO3LZj3Z2dgaVSuU5KHmh5ktEB8RxfHvtOmvtNtVqdcNisfhSHMcD+NUzoijaoVqtPrNsuhp7CG1wpdQlCOwgeKVp2rPsPY0x1yFlnaeuUTYI4zjGPAcGAiERdUAGVCkVE9FOxWJxWn9/P+rWSCnfj5euLMuuKBQKZ3vvIas5K8uyO9M0xUvAUiOKIrTJ4YUPWuHHO+dg2LHUsNail/1OIoJ61k4w8agnHV8PXnJN8yMgAbj593iVrtAYcwHSfujnzJnCb3LO4ZSEH8D9oK+stZ7BzONzVipckAZkBweP9vb27QuFwvmQEiQiKGLBWg4nLaSrnyQiEKJQL0Zggt8vRBNOqRklLHu/MAwhwGCUUjhxP6u1/llNmQkn3izLtisUCmeghkxEv0Hwh8fvKgVn0M3yIAZf4XfkqkwwKtgmTVMI/6vW1taWlpaWjzLzxyDXqJRCjbxnqIC4KudorQVxCa5ScBZCLXTTxYsXP9Xb2/tqH7YxBvaB++Y11XOTJIEP8ogOay1S+HtqrZHiBjnqF865C/DQXG8bZDjoim+HLjFIY6Zp+hrxFqibgcnOzJsz80vMfKnWGix62CYiW3O99/50IoKpxtfBsEeq2Tl32bILzMl2IGf1odUKbXPe+540TW/EtcjAYH+JaG/IazKzRuZjKCenEQVPbt6wCEgAbtitWzMTD8MQhug42UIjdwqk+5IkARFpYBhjfp8H3juhz5tl2ZWvJ2oRRdEkZj6HmTu01lfHcQxmMe4DmUikCEFiwqn1H8655faaGmPQJ5wR0bbQiWbmD6dpekf+Q5niZK2U+ihO8INPTSOJYo4VNKtxsoe/LRSj5uZzgiHFvUqpLSB9iHn39fWd0dvbC6LZiI68XgpFKmQWnsiy7EuD7AFvAUMdhhfe+wOGY3LxRiadq0+9M/dchizpM8VicZuurq4MOGqtkeZ/n/f+Oq31nxYsWNCzPPMGY8wRWutxzAy29kZENLfmvGWMgfbzJ4gIhhBXMfMjr9fGlpdH0DIH1jaY8W01IRhjTBeyF0qppxcvXvzOcePGZXEcQxpThiBQFwISgOuCSS6qIQCR/Wq1ukuWZWdqrWGe8JhzbqClBOm4/JSCgHpRkiTw013hMMbABecuIoKYxQCZqr29fd8gCHBC2QEtIVrrJ5xz85d3syiKjsqyrF9r/T1mBjnnS6j34nr4xBLRIVprCEcgpfrkcFKnK1zA61wwa9asHbMsg2nElt77D9VSqzgBl0olnOAuSZJkvLV2S+fcv9/Is+r9rLV2fyLamZlRI72/v7//M3Pnzv1Dvoefz/2SwR4Ge706Z84cvCislgGv6Jwshdr/q57AxphL81aoNhheDJXOr00wDMOPBEGA7ANKEk9orQ+aPXs2WO94sTsoXx8sI/f23u+dpilS1EMOY8whRDRJKYW2prL3Hi8rA4pnxhhkbfBi96T3/jNQdBvsprVaAJOHNDQCEoAbevtW/+ThTqSUQkoStoA4USJgzofDEU67OUmqkhNdIHTwsTiOX+NUlJ8ODyMiOAjdGwTBhmgDSpIErUAI5vANPgltJN57tJjcAVvAoQT/29vbPxwEwQVIOxIRCDeamV8ASQj1QiLCDyXSzbg32krA4D1+RfKJbxRdtMowM1S7XlFK9RERXgxui+P4bmvtpfjxRguUUmp/nN611ljfiLJuZ82atX2WZX/8Xwsuw9XoaWQaUItHHR5a2EQETWXoIKP/+rlKpXJKd3c36qcjMkC8CoIA1o0QWwFWrXnW4KlKpfLnIAiO1VofrJT6E7SkIbBBRD+P4xhB8TXDGHNv3laE3l/Uu2+s9fNaa9FPvjVIflprsOqR+od5BrTGlxog2BWLxdtzByc4La2rtf5jtVo9r1AoHJx/vwh9xrkuNrI0CMgyBIG6EJAAXBdMclENAWvtLUSE9qCfM/N7tdYfQG2WmcEkbo3jeCyCNLx1QUCCUEaapjA7X/bHbedCoXAfM4NxjEDZgZ7SZa8zxryMIO+9n5X/UL4mQKH2HAQBWND/ZuZDkiSZiHniJAXFKqguaa2/6r2HZeDfvPfbMfP+I6n9i9Q6FLZylaw9IQgB8wmYPjAzfrC3LRaLk/r7+1E//ywRQaLxiiRJLh7Jb5u1FqUDzGEBep9BWMMpD4IiRDTee/8RBDkiQivV6d77E5MkQalhxEYURTB1+FOWZSdqrc/r7+9vnzt3LljuEFu5m4j2cs7BjxmuVRA2gXECpCPPHOL7AlMIvFAgkKNn/B1DMaqttagP/4SIYOJwzlBs7vx7jCwFGP1bJkmyozEGJ+qHvfd4WbiciPA9w2kbpLEZQRBsN2fOHLzYyBAEVoiABOAVQiQXDEYgiqINUUONogi2eyC77AwiC7x1YYZORH/B0UprfVocxw9Za8FuxY8hfjBPyU0PwGzmarW6MzSgEQCq1WpvT08PVIiWGjgpt7S0/K5SqUAwH2IXUFz6My4Kw/DdWmv8AP4tSZLdIJeolAKZZhzun0tWghiDVDROffNAKEJdD60wI50uNMZ8HCzx9vb2WXmrzW8wNyh/5T/cRSICOev+OI7/hADjvYfM49Xd3d0DBLEwDD+vtT7BObfxcL6J1lqks5/EC0CSJHeFYXgoEaHXdn2t9bkvvPDCneuvvz5O55BwRGB7NxTBmBk1TKhcoTf3cLC0R/JFpbYm1G3RFx5FEZjECP4FZoYu99GYE9TJvPd/ATblcvlBay1e1sCkvxjev7hPrgW9GTP/UGt9XZZlOO0/PpQetLX2k8657+J/8xdIsLk/h+8EWN65KMdTzIye5YXFYvE6Zt4CbU7MvBlKL1BPg50iDCCKxeLXFi9eDOcnfM8HSh8yBIEVISABeEUIyb9fLgJRFJ2BNDRsAqHpm2UZmKwPFwqFo2tGBtZa/EhCbhLOM+9HfRZSf8yMGl9dNeJBP9JHa62/gZNlf3//e0qlEsT3wZS+zDl3bf4jDKbsj9GOlLN4IdAAAs95Q1kLrq7ttdaiTo6A9wP0qMILGT626BUeRMxCKvpqtGElSbKXMeY4pdSntNZXxXGMenjdwxgzI8fhcefc240xi/P2nD8651CTHhhRFKHmuqNSCkxe9C5/mpmP3m233a4955xzlvJnrvvhb/BCay04BHgJAOsYtVX0aFeyLDu8XC6jxIAXE5ABYYs4JUmS7XJlrBOq1ep+NdnJeqcxc+bMicViEXXdu5xzB0VR9G/vfSXPuECEZEDCUmt9PYKw9x465Mga4PuMjMuv6n2WXCcIDEZAArB8H1YWAUj4weqtysxLFi5cuPvEiRMfY2akXj+fpikEF/DDdTRSdWgDgVKRUgonDTCdb4cwx3Aebq29CWxpIlqMwEVEaE1BTXe2cw6p1Rrh6nq0jmRZdlYQBJC1hNbvHCL6Mk7lw3nmqrrWWnuf9/7lIAjemWXZJCJCEHwLM1+Wpinqwah7o2aMFDSUnMpEdBQzo20KhDKIe9Q9jDGPQ+wk1zYGwQplAbDEca8BNymQ07TWN+Hkh55YpHrz3l8EoCPXVD9rbiv4VaSIS6XSMdVqtRtsZmb+1jLELKTNcYLF/m7KzKjxb5wkCV4m6h5RFEFq8y1KqSVZlp2Q64+jXQtqZtAsB1ZgTl+utS5nWfYFrTVa3tDW9jwRtcVxPGI18roXIhc2HAISgBtuy9aOCXd2dq5fqVROYObJCxcu/NS8efOqbW1tOwdBYIjo0957BEjUEmG0gD7fT6J9JDdy/5P3Hi05NwxnNVEUoQ3pHd571C/R/oFaIGq/8KTFDyCUkHCS+S3M2ZF6zQPb96F85b2/bSRs8OpZA1p/EEyTJIEuMX7QIcUIbWw4KcG5B+limMR/B1kFIkKP8F+ISC9atGj/W265ZVjtLQgYWutNmPlEpVSAYJxl2aGFQgEmBOiD3jhvwzlwsJwk1KqyLJsz3FNkPRgM55owDCHGMfCikDPi9wFfID8Zg9H+CjPjBQOlicm5kMfz3nsIuNw4nJcHY8zxRLQEpCoEcKSZlVLI1OA7BiY2pFDh/HRwkiR4YRkYHR0dH8+ybMPhqIENBwO5tvkRkADc/Hu82ldorUXf7puYGWpL80ql0sxKpQJiCvou4X4DV6SVGhBHGDNmzMMQ1tBao/0jCoJgXe/95UopnHa/WxO7WKkHrOYPGWMgDoEfePSa3szM38TpGDVYvFjkak9IVw97QBkqCIIXQKjy3oMwd7j3fg8iOk0pVcqFPz407BuvoQ9Yax/13j+vtcZp9ZpqtXp1EARIEZ8DhnyWZZ8vl8sDspQrM4wxUPv6MxF9KMsyuFohiwOm/j1wW4rjePLK3Fc+IwgsDwEJwPLdWOUIdHZ2bpAH3Bu89xBXwEn1WhjWH3DAAevfeuutaP14w2PWrFlbV6tVELpw+n03EcXOudeoI73hB43gDYDHOuus8xOc2IkI9XIEmFMKhcL8F198cZ0xY8ZsC93rlZ0CGOLlcvn2nKCGdjH09I5HLTrLsh8P56S4snNYVZ/LNaBjZp5IRDilgkuwypWn8voy6s7Qjgap69xKpXLN8jTGV9X65D6jDwEJwKNvz1fbiiF6AC1h/EjW5PtW9cOhmKWUwokRcoLDqpOu6rm8kfuBNJX766IlZkRIPdbaw5HeRn91TUzijcx5TX22vb3dFAoF6DRDxOQHIzEPmFCgNzrLsvevLjWwkViH3HPtRkAC8Nq9Pw05O2PMexEQ0f7DzG9F+o6ZP5izfamzs3NiV1fX8yuzOGgsV6vVCWiFstbC2QanOohcoLZ6aF9f375z58591Y5uZZ6xuj9jrQUhK2JmpD930lrDcWqA7dva2jq5t7d3pfpKka4PgmAC6rk4ARMRrP9QGsA/wXA9lFc3LkM9z1r7HMhRzLyOUgp6z99OkmRIQY7hzBcKb11dXYvxmTAMO4kILlZLiAi8BbRoHVdj2g/nvnKtIPB6CEgAlu/HKkfAWvuPvFcStc1ytVr9VqFQgJLQ77TW05n5lJU9uYRhCGOGM5n5tzBfyM0MjsvdhNCf+VKSJA1TqzPGnAgJTmZ+QGt9V6FQuLy/vx+KT6jTWu/9d9I0Ra/wsEcURcZ7Dz1t1DLRXvQ+9AVrrT9ERGNyUlr7sG+8hj4QhuGpWmtofqMPfEGlUjm5WCyWcxb0dlmWfb1cLg9YZQ53tLe3f0hrDbnLHmY+FFrnRARmNYhZaMf6RZIkbcO9r1wvCEgAlu/AiCCQGybs4ZyDz+vAaGtr2y0IgrkLFy7cct111+0MggAsUrTAXAwB/PwyuN1cgZrwcCZmjIHIBtxrPklEGTP/kYggHoF2JNSCoW2MfttHgiC4Zs6cOVBNQnsPVLCCIAhg9jDgU7y6B+QytdbvT5IETlIDI9cZPoyZ72XmitYaOKI3Gv2tkKiEIAT+/wLnHAJP3SMMw8O01mjNAqsXLyTjsiw7KAgCSHyiNn9boVD4uvcebkHPDHKOQrC+K0kSBLbVPqZNmzZp3Lhxp3rvp6Rpil5bsI0nV6tVyFEeAr9mCHAopY4hoh8xM8ocEDe5DWIvkEBNkgR933UPiIBAVIOIPsDM+0I2VGv9XbTXERFkVTdQSsFDGP3YEFMZGHDgCoLg0TiOR9wtqu7FyIUNhYCcgBtqu9auyVpr8cOzI4H9FMcdmB2EN9A54pyDti+EHo7x3m+ttX6emaFQBTH8beGf6pxDS0zdw1r7IIQQco9gGDNAxhJyhdclSYJ+0Fq/JpjEDzjn9szdby5k5r/mAiH/rPuBq/DC9vb2w7XWkEgECQon+Jug9gQGr3MO+sQIyJflVoFf9t5/LwgC9E1DNasLZvXDmU4uo4gWJOhxX5YbL6AP+NKahGNHR8cHczUz7ZzbLoqi46FL7b3fplQqtXd1dT06nGeuimuhtOa9H1BKg+rZxhtvfPx///vf/yLtTETnDHpRQPsWMgfPKqWA315EBJOJK+M4Rmta3cMY8wv0QOdEOBgz4CUO0qDX1F6Ypk+fvsG4ceN+4b1XWusTsyxbB2pvSqldnHNwtpIhCAwbAQnAw4ZMPlBDAD2jRHQREZ1crVbLudYx2lv6ampLHR0du0GLmZl38d7vkPfvngyf1tdzoRkKZWst1JFAtEphqF6pVBCEH8tPJnPwmWOPPbb49NNP3wgtamY+TmsN3efPaa0hwjHQg7smRq5MBe3hm7TWn/feQ0Lz8SAIzqq5DeXsW4hLtPT19ZmWlpYrEZfRfzqUTvbrrcMYA7eq90JGsb+//9hSqYQ68h8WLlw4rWbjh6AyduxYmGscCR1v7/0pCGTYm1q/8hrCCml59PzO11rD6nJOLuRyTM0xCnVarTUyHhP6+vp2KZVK6NmFQciNaZp+fDjznjVr1vQsyz4Be0jn3IXWWpym5yGTUqv7RlEE96gT4aQEARVkcIjoPbnUJ/rMZQgCw0ZAAvCwIRvdH8h/2GPv/X458Qk6wkhzwqUG3r1oDwHJx1QqlZdbWlogUg+5yCOdc3+YNm3a+HHjxkF44vokSaAkVPeA8lZ+2h1I+cFWDzU66EFnWYY+YKQJUbN7D/49EW3AzNDsHUglKqV6cfoLw/AkZr4VmsJ1P3yYF4ZhCKGL7V966aV71llnne3yGjgyABDBqECWE6f0/02TzssymCFpEH82h0VhLYNgjOkhomne+xPwwmKtBY4DspuDR0dHB5x9jq5UKjdVKpXnxo4di3vDNegw4J4z0qGyBUxg8bhJEAR4oYGS2JvzoALdbLR0QcDjvIkTJyYLFizAKa+MewwTgmFdXtPNhjZzXq5YBwIuufc0REiQpofdX2d7e/uOWmu4DuFlwYFhn6//M9BuXrhw4cYQhql3ArlICmQlPwLvarzoKaU+BEnQJUuWXDR27Fgor/2IiPbM3avegRc/rTVclX6AEzvmYK39XLFYvAQexvU+W64b3QhIAB7d+z+s1Xd2dq5TqVQegmEAEeHE9J4gCKDmBMs2OMNs4Zxrt9bCdB4Sfn9g5tnD1Xwe1qT+F4i/TEQneu+hdzzeOdeSy2SCLbtZnvbFieXqLMvgEQvXnePiOF6uD+xw5zDU9caYR7TWYIK/PcuyzkKh8KL3fq7WGnjtXywWWyqVCtydpiulHP4OGtDL3muQheAjzHzlUHiCHV6pVOCyRAiwzHzWUM5K1lrY7iHAoMYMN6QDrLV4SUG9fEdmhjwoXqp+TUT/ZOYtcQqN43iliGD14pj7ACOj8gtmDpn5HXDTyg0iNurv739vqVTC3GAvCQb0/NpLSr3PGO51sMQETniRIqKDnHPbWmsxv5eICLVivNDAfAQyp1DKwsvDriNt8jHcdcj1ay8CEoDX3r1ZK2cWRdGF3vvTiQjqTAFEHZj5/5Ik+aox5lu5mATYzzAW+DcRIX064OwzUsNaO5WZEYQhZPEgEf3Le/937z3Y1zjVwS7uWa31EpB7iOg+BKGRdq0xxsBBZxOtNVyP5nrvP557KL/IzCBa4ST1VC4ViReZOcvrZYbTj1IKala34vSep6XRHoPa8ceh8Zx7/P6LiPqDIDh89uzZr6l3W2s/pZRC7Reyl3BfehLZgVKpdElfX197rv4EMtN4IoLT1V25d/KACf1IDWMM6uOY10+JaAZasnACVkp1aa3hdoT2I5QVYGS8ufd++kj350ZR9C5IpubkwRQncBC+kiQ5KYqii7z32+YCMGiD+6/3/m78u5HCSO7bfAhIAG6+PR3RFcFOMCe7dOYavFC4QjABAQqqV2cz8+44bdb+fkQnlN8cxgJBEOCECJLTkwsWLNiqloYEy5WItvfebwlmbXt7+/blchnp8hEdbW1te5ZKpce896iBg3x2epqmA65GHR0dW2RZ9lUiQv8v5DlxglruQNq1VCr1e++/D0/hOXPmpLWLZ86cuVOxWEQv8YtZln12RYGptbW1BZ8tlUqPEBFUyabXaquo6yulUENFL/XFzLw4TdM7RhSo/+k97wFtbIhfwDQCfbdJkgw4EYVhuCuMD7TWpbzM8cfh6oiv7Pzx3alWq/cWi8W78d16/PHH958/fz7KGZjzVkEQIJuk9tQSAAAgAElEQVSRVavVaYVCoZIkCbIJMgSBuhCQAFwXTHJRDQEI42utfW6usKlSaqFzDgSYmhORIyL49uLUe49zDiSfER/w+AW7OgiCI5j5Ce/9+Wma/hAPttbekQs3BMycFIvFn86ePXvE6r+DFqtbW1u3amlpQc0WUpnXx3GMlikE4HdnWdZORDgVw1bxyUWLFp19yy234JT1mhGG4YFaa5y4wOhGG9dJg8wm4KJ0IBE9w8z3IajC63Z5oEdRdCgz4/QM0wewjT8ex/F1uD6KIqRVT8vNISD7eNPqCMD5sycx8y1IhUPr2Tk3QKbKe78hIoL1/6parR4DH+kR/1L979nQmUZpA45R/07TdJfac3MBFSixIaMCm8wnVod38upYtzxj9SAgAXj14NwUT4EqU0tLC3SJYQ33V2ZGXfWJQSeVN2utwQyFiw3IPWX0mUKLeCQBCMPwU0T07dzqECc6+La+mKbpj/Bc9OAGQQABEJDFQH5CWvpdzjmwqEdk4JTZ0tLybJ7KvTO3FbyuFhiNMQfgVJ4H1BYigkHFs845zHGpgRN7EAQ4Ib8vr9XCMxh6zgMnwTAMYdG4k1IKJCH4IO+utT4zjmME06UG+rQLhQJ6WQP42ubX/ieOYwh24GXlfK11T5Zln0PaHoIdWZadPtIBzxhzNxHtppSCy5GD/++gnmlYX6LlDC8vW+OlDy94zjnUzkdsRFF0CrImRAR98Uu89ziZ31F7ITHGXJRl2cIgCJB2hpb3WOfcFiM2Iblx0yEgAbjptnRkF2SMgdtMPxEdmmXZtKGCq7X2S1BdAruXmfdOkmREhQrCMEQqF6cmeOf2OOdgW7jUMMaA3HR43l6CdqAPZFm2ZLByEgIdEVXTNIXNXV0D7Nv+/v5ioVAoOudAbEJN9u2lUun5SqWCVhYweWHdeOZQFn/GmERrDaIPiEd3BkEwwAyviYiEYQjXJ/Q4g5X7FXgaO+dKxhjURhGwfum9n1QoFE7JsuxOnBBxcENN+NFHH72gli6tLQZeu+jW0lqD1fxyHMfHDIHVUVprtHtdxMzQ2J4E0/qenp4XatfCcGNl5ETb29vfFARBtVZ/B+ZIrWdZ9lAQBLtVq9X5lUplt7lz5/5xiHkhSOPk+yRqsTUP6Lo2aiUuMsbgRRJiJnOJaIJz7jXOUWEYopYOwhpEQSAOYpxz2HcZgsAKEZAAvEKI5ILhIjB16tR1Nthgg3URROBgM9Knp1mzZm2rtf7n67V/GGOmLF68uA++urn/61kog/b19e3Q29v7DFpRoNillLrJOXdcvWtG60n+uW78QEdRtC8zTwehyHt/Bchpr3cv1NRrxggIqkop9Erf55w7PDcEgITno/39/e+DJvTuu+9enDx5MohT6Ld+GIEIbVboswYLN0mS7+MFAO1EEDvJW4guMsZgvWcqpZ5OkmQrBL4syxYsz+EnDMMPpGn6c2st1LgQDNHWc/xjjz1245QpUy5hZhg7mDRNEfTrGlEUfQR2kSBXee8vLhQKE3IhEJxqpyGljtr4nDlzhtTyttZOc84hRT3gpzzS6d78RerP/f39b86ybKPu7m7wC5YaUO4aO3bsO6FzDrMLvADV6ul1gSIXjWoEJACP6u0fvYvPVbw+y8yoE+O0B1/enyZJAh3gYQ1jzHeJCEIOh3jvJ2utURf803BPaCAbaa1h+L4hWpfg46uU2sx7/5XBHseod6MmycwnZFn260Kh8GCu6zxQi8fIFcDwUrGec+4t1lq0ORWY+Sdpmv54OAsMw/BzQRCcmwt1PArWOxE9nCQJWNzDGlEU4aR4cLFYXDfLsqNgppC/qAwomckQBEYTAhKAR9Nuy1oHEAjDcF2tNYgzqGWjPg01rbcx835KqROSJPkOUr9pmoLsNOQIw/DNaZo+mYs4gNn8HMwUvPdwHSqiVaZare7d09NTd505ZyCDZAVSFurpL3nv94Hu9csvv7wxfJRzX1+cbh/JsgwqWesGQYAT6Z6FQqFt9uzZaFFCAMY9IFQCUtx/mBn9s2jXujZJEkhO1jWQYtVa/46Z0RsMycW/Q+AEtXTv/YZBEJTgTFXPzSCPqZSCTjPaoyYppR5SSm0B1nypVNqjq6urbqzqeZ5cIwis7QhIAF7bd0jmt8oRmDFjxialUglG60ejZgfRCaXUztBDzgU8LoAco9b6gjiOv7LsBPITKEwBbmJmaGAfSUQwWUCvLALMHyGJWCqVruzq6uqvdwEI6lCkIqIbcApGPVopdUOWZeivPqZQKPyyUqmMDYIAPaePD35BQAsYEV2stX4KFpDe+89A4SoIAhhRYA4we/iS9/6pJElgNl/XQK130aJFEwqFAuqfaDdDHXYT59zbrLXX52s9Kq+945lLjbwF7Bs5Me9cSDlCgct7Dw1nvFw85b1Hv/Qfy+UyshAyBIFRg4AE4FGz1bLQZRGIougTMIrI7eb2JCJoDm+utT4y98y9arB7Ue3zYOQyM8wmHgbBSimFNqPjUddEcIKQBFSTVgZxSFiiblupVA4YM2bMORB/8N4/QETXEdHfIKABMlmNeT74GcYYkJM2VEo9nyTJplEU4TR8XxzHp1lr+7Is23dl7fqMMZBivBtz0VrfmGVZh9b6JChCMfPE3DACrkJLDfTKgmSGljQi2jzLMuhz7wfBCmstnKAeSZIExDEZgsCoQ0AC8KjbclnwUAjkIiIDAvzMDAWvfudctDy0jDEXQvYyb/uByMbVSZK8hlH8RtE2xoD1uyl6e733Az3EaZq+KsIx+P7nnHOOvv/++8FAPxCkKchIeu8hOoLT5iobUIjKVaqQSn7ce39DmqYDbUxDDWstJCTxYvFh6EwrpS5YnSItq2zhciNBYBUjIAF4FQMqt2tMBKy1W8JNB3KHcRxPhu51V1cXvIeXO1pbW9crlUo/ZWakhU+K4xhGBqt0RFF0hvf+VCJ60Dk3tZ6bG2NAssIJFSl0pMpX6QDrvFqtIi0OudG2GjP5dQLwhGq1Oj4Igt8S0e1geK/SCcnNBIEGRUACcINunEz7jSOAE+ODDz5YeOaZZ0oTJkwAGxpayEdmWTaTiN5UrVbP7+7uRn14qRFFkYE1nVJqQa6FDV/jH9fS1SsicL3ezOGHW6lUdsBzrbUfY+ZP5D3O0GdGjfjyJEmg+7zUmD59+qZjx449lplxyoQa1ixmBjnq5CRJfop2qb6+vu/09vZCpWzYAwIeIIaVy+Vuay2Y2iBReehTK6Xgk3v8UKS13MYPp2MQuH6nlELv8reyLEOd/CUIivT09EgKetg7Ih9oBgQkADfDLsoaVgqBXF0J3sR3aq2zOI47rLXoeYUwxkSt9WNxHMP/dalhjEGfMJjPvyGifZBehTmF9x5pVkg7/iZJEpCzhj06OzvX7+/v/5bWekuwg9Hb672/PwiC+5gZbOSdJ06cOPHaa69dsuzNc1cjvBSA0Q0RiVhr3QuDAwRiMLRfj9m9gheDsyDvSURfQf9vkiTbW2vhaQwFrxIRXVrzgB58n7znGrVs1My3SZLk02EYgsW9iIgKCMbOOZC5ZAgCow4BCcCjbstlwRAHKRQK6IvdHEEgl3WcFwTBVVmWTdVaQxAjY2aoRmXe+wsgltHZ2blJpVK5hpl3A0uamX8BiUicNNEXC31sODEhICmlbmPm+1dksrBMsILKGIL4fyHLrJRCG9Q3c3nPf2mtYad4HhF9Zyh/XvQ2VyqVpFAobEdEUM6Cbvfz0MbGSV0p9SgkQsFgrvdbYK2FWAaUnsbB2lEphYALO0rYHj6jtQZL/D/e+12J6GPe++NqQd5aCz3wDWAgEQRBNzNDoQy/OSCuoZUJIiIL4e5UrVa/2dPT8xr3pnrnKdcJAo2IgATgRtw1mfMbQgA1zCzLIFIB0Q205Pwql3l8oFqtfrK7u3uglgu1pSAI0CLznHNuF2styEw4tX3BOQftaZgXgAV8FjO/l4i+mDOCofj0XKlUek9XVxd0i+sabW1t04rFIgIVUrtwJXq/Umon+M2+8sorF6IPuK4b/U/TGanobZj5eGb+oNYa1n79OBkPx58ZUptZloH8dQYRge1dhkEDTq7w7q3JLra1tR0VBME3kJZPkmRLa+0zeXr+iCRJcD3mBLUupM8/wMytubnCN733rq+v75M333zz8/WuT64TBJoBAQnAzbCLsoZhIwAhfSI6lZnbmZm01uhRhcvTLAhs5AEYDkRQuHqPUmpGrpiFftu74jhurz3UWgtnpWeq1eqhkN201uKkB7/hKcOZGOQfiQjz2qFYLE6pVqtzvPfQsIZF36lpmuJkXNcwxkA3+mhoTKPNx1qL0/RYpdRlzrlL6rpJfpG1FoIZ0Md+yHv/V6010vYtuRTlgE8wNK2JqJWZz4SjkdYaQRs6ynDEGjBNyHWte/K09RXVavVnxWIRWtm9cRx3DmdOcq0g0AwISABuhl2UNQwbAWMMToUPxnH8lzw4vJmI4HyD9O6uMIhnZtQm4VN7CKwOoT4FK0Aiegczwwnnr0EQIF3dC5OHJEkGLP1mzJjx1lKp9AVY/hER1LWgAIVAdMWyE4X6FczctdbPZFl2LhHdU61Wr6idwtF/Cx/amo9wvQsNwxAKWL9MkgSnUpzUd0YQR/oc7UClUulvrycSEkXRFUgNQ6M5l8W8wTl3aR5s4eT0SWbelZkvU0qhbevLSqk/K6Ugobk5TsLe+0u01qfm7lQ4gUMH+hq4USVJAncjBGWYdswSI/t6d1auayYEJAA3027KWt4wAsaYNK95Xpy7DG2SC2HAeB3p5iO11usxM/qAEVTGL1iwYMa8efOgWvXqAJsZNVKwo5l5K6XU6QsXLrx33rx5A+SpqVOnFqZOner/8Ic/IICPhVhFlmX/GYrh/IYXNegGuXnEPswM0wdIZ562zMmaoijaIPflhTuUfumllzYZKv1tjAGZal2l1JuYea7W+uw8aIMINinLsoOIaApq1yCQAaskSXZdleuRewkCjYyABOBG3j2Z+ypHIIqiNqUUHIhAXAqY+SkQqnBii6IIXsc9SqkXvPcLtNZb55aMcB16zTDGQBkLohhQ24JoB2QgQWRCPRTSjt9VSv0AKVmtdWccx2gzGtGB3uWWlha0AE0iIqTapzAzWpUuz+f1AjPDgP5F8Ky897AtPD1JkseWnRjcjbz334FCl1IKfdS4bzccoFpbW7dpaWlBuhlexxgvMzMYz6/JAozoguXmgsBajIAE4LV4c2Rqaw4Ba+3JSimkVU+vpV4xG/jpEhHELb5cLBYv6erqWvx6szzyyCPHLFy48BrvPYhH09I0hQnEwMjtB2GQ8K7heBCvClRgdQjhEa31D1944YXzaydza+2eENti5ttKpdJRK9Kybm1tbSkWizPBHGfmzw62X7TWtiql0F99U7FY/NwzzzzzyrKZglWxFrmHINCoCEgAbtSdk3mPGAIgUTHzR/M+1ZL3fsdaa40xBi1HC/KT8Lb9/f22t7e3b6jJtLe3ow3I5HXgyXBdQn0Z10IjOQiCW733J6L+q5T6hnPu3SO2qEE3ttbi5Iv2q2eJaDtmPgRiHXCJIqI7iCgAYzo3or8tjmOk2ocaZK3FCR4tSDjl383Mn0+S5J78BWMhEf2TiJCCN69zn9WxbHmGILDWISABeK3bEpnQmkQgDMMyER2QBygwiX+dZdkTg0hRZ8LWTym1HzMjWHnnHK5farS3t+9IRGhjOsJ7v5NS6mKl1EtE1JZl2YlBEHzUOXeqtRYWfIyUMNqN0jTFyXvERm6feEHer7xNtVptLRQKaC06noi+BBKa955xymfmJ7XWm2VZtk+aprAjXGoYY9C3CxEOqGKhH/qXhULhr7Nnz344f8nYUWv9MSI6CWtH3++iRYsm33LLLU+P2ALlxoJAAyEgAbiBNkumOvIIoJ0GzF709BLRs865V03ua0/PfW3B7kUv8MdxikWbTi1IhWGIE+FUIkLN+Fo4BaHnGM5LRHQ2EY3F6RPPCYJgDyhxwXqQmSPnHKQdR2zkMpIQCsE6v6eU+ggRfQu+wsys8xPwvd5729/f//5SqQSG86UgoqVpinQyUudoKwLbeRoRgaWN+jYY12BBLzWstSBgHYF1Q43LOQehERmCgCCQq9IIEIKAILCSCFhrYSwAgYq7K5XKx4vF4v5EdDAzL3TOgYCl4KlbqVT+jT9nWXZIEAS7e+8zrfXRWZZdVC6Xv7+Sj39DH4uiCBaKp8P5iZn/Q0SVXLwDbOWNcHN4FGut72Hmx7FOrfUT3vvzlFJgUZ8kpKo3tAXy4VGOgJyAR/kXQJb/xhCw1m6jlIKwxZ5ZlnUGQTBTKQVThDsH60FDVUtrPdt7/9mWlpYfVSoVsIsff/nllzuGo3D1xmb72k9ba+cx8yalUukd0KAmomNBwhp88g/DEIIk3Vin9/6H6J9WSv26Uql8VOQjV/WOyP1GEwISgEfTbstaVzkCuaEDjAagCLUe2nGYeQFOlUT0uTiOfzhz5sytC4UClKSeRD1Va10NguB8Zp7qvT87TVPYB66RYa2FfOa9SZKUwzB8CxHBkvGdzNwGMpUxBvXtW5CaBtlKKfVzIgqZ+Wlmhu7zkN7Ea2Qx8lBBoMEQkADcYBsm0127EOjs7CyhVcda+1xey50OclZfX98xY8aM+Zv3/qNaa+hJL9Wis3atYunZWGtBMrslN4XYRGu9eZZlRymlILRxs9b60dygom5pzLV5vTI3QWBNISABeE0hL89tKgTgRFStVl2xWGxjZvj4giGMth5IP94L3elGacOZNWsWBEYuY+YPaK3/7L2H7SBapRBwn2TmrFwu395UGyiLEQTWAAISgNcA6PLI5kYAxCxoHkOAAprRsDJsxBV3dHS8z3t/I6QyvfdXp2n6mWXXEUVRRxzHcxpxfTJnQWBNIyABeE3vgDy/6RCw1h6ZWx1uzswnJkkCy8OGG9ba/XO5zLcw81VJkoCgtdQwxkwZSqay4RYrExYE1gACEoDXAOjyyOZDwBjzPSK60Xtf0VpfnLftTCeiCTlB63zn3OxGWbm1Fq1Vs5gZ3sgbENENRPQY2pWUUu9asGDBhSIr2Si7KfNcWxGQALy27ozMqyEQaG9vH1culxdZa2FEACGLR4jozjiOLwzD8Cda6xfhm+u9379cLqN9Z60fxph2IorxD8RBlFIfJKIx3vvPwVRCaz1l5513HvvAAw9MmTNnziNr/YJkgoLAWoqABOC1dGNkWo2BAOz9mPlQIlonN7zHafH3uQXhxc65b0ZRNMl7D1lHiuM4gLgFER2da0Tf5pw7f02s1hjzHaUUdKwfq/kGG2O6QRxj5q4kSU4Ow/DzWuuPQisTbkdQ8VJK7ZNLUF4Tx/En1sTc5ZmCQDMgIAG4GXZR1rDGEIAbUKlU+kneGxt5718JguBnSimknF8NrHmP7RVE9GBfX995Y8aMQTr36319fd/o7e0Fw3i1D7Cdq9VqBzSgq9Xq3sVisZWZQbQ60Tl3fW1C+YkY6XPYD75CRN9USi2qVqudPT09f1ntE5cHCgJNgoAE4CbZSFnGmkHAWruLUupW9M1qrXEa3tJ772CAW6lUDurp6RkgYBljFuUGCE8xs1dKodf2XqXUjbXT5+peQW6VCP/f76BtSmsNYRD0Mf/ee39Ed3f3E1gfM/8KJ1/vfVsQBAuZGanot0ELe7BV4+qevzxPEGh0BCQAN/oOyvxXKQLW2heVUkfBwUhr3eKcO3PZB8DUvlQqnYzeWK013INmtLS0/LLmDWyMOR4ORzA5QNDSWqNN5yfMvDkRbcbM2xLRK8wMYwZYEL7Je6+01n91zuGzIzaiKPot0snMfCkR/SDLsp1xYmfmp4hoL6UUfH1/rZQ6k5kv0Fp/mZl/zMyPpml6ASbW1ta2W19f31Pjx49/GP3NWZZtpLUOnHNQBFtqWGuvYuZibm34PefcxBFbnNxYEGgwBCQAN9iGyXRHFgFr7V+VUv8H5x5mRn1zcZZl87u7ux/NT7LHKaXg5YuT4zhmhsMP6r/LBh6cjJHGhWQjgs7pSqmDiOgDzPxduAN571tzlSz8d1ggoiOcc7eN5AqNMRdCIlMpBXIYTrOHEBFS6HcrpfbAiwIR4ZR+LhHB5Yi89welafqaXl9jzM+IaH9mRiCGWcPpWZY9BFJabuIwCwxqkNCIaD0QueI4hi+yDEFAEBA3JPkOCAJLIxCG4ftgPJB74d7gvT8tSZL1lVJIGytr7fNKqQVKqWOq1eqzLS0tL82ePRuqV68ZM2fO3KdUKkE3GYENAflF5xzM6VUURW9lZjgpgZC1FYK0cw5ayyM+jDELlVK3aa03hb5zsVjcsqur66l8fY8ppeDvCyLZ35n5r2maXrS8SVlrf6eU+gT6hIlo3QkTJux07bXXLslfVsCQhvUhTttvgzxnb28vSF8yBAFBQAKwfAcEgaERsNaezsw7EtEGzrn22lXt7e1baa1/qbU+fEXSklEUbRjH8XPGmPuJ6GFmPmWwaEUURV/x3n9Ka31iHMdXrs69MMbgNP4NOCQWi8VtoGeN54MsprX+CDMvSZLkwhkzZmwxd+7c1201giMUM99ORL9wzkGEZGAYY04hoou890emaQpFLRmCgCAwCAFJQcvXQRAYhMDUqVPHTJgw4V5m3oKIWvLa6Kecc66trW1qEASHogxKREhJZ8z8lSRJ4qFANMacQURnMPOfiAitOy/39fVtVDsFWmtvBlkLp22IXhDRh+M4hu3fiA5jzFeUUu8hInj+wjACMpMDKWZjzGIiKjDzSUT0VWa+MkmSk4aaUBiGIRHNJiLMH6nlR5n5G0mSfAsvMEqpU1HfzsU7kKL+QZIka8T7eEQBlZsLAiuJgATglQROPtacCFhrEVhx4tuHmS/WWv+Qme9TSv07N6s/TGuN2uhVuU3frnEcv3koNKy1EN4AAQnEq84kSXpBzqpdO3PmzImFQmEa5B5zUtafkiRpHUlkjTEglZ2ptUYNe65z7uODnzd16tR11ltvva1BrsoD8RaVSuXQoU7BxpjfK6XWIaKNlVIwZ4DF4i+J6NNgSAdBsFOWZe/Dn5VSdyGjkCSJ1IBHcoPl3g2FgATghtoumeyqQiAMQxCRNqwZDERR9B5mhvbxzCzLTtNa7w2yEjPfkxONqgiSSqm7iQhtR9tprb9WqVT2AZNZa/3jWkq6o6NjN+/9qcwcVKvVcwuFAoLvecs5Jf9cKXU5ESEgXpMkydarao1D3aetre1dhULhAO/9w0EQTB1KSKOjo2MP7/0n+vr6zigWi0dqraMsy84vl8t4gRhIU0PrWmsNhaxPZlk2WWt9jFIKdeQZuWgHar2/JqI3w00pCIJ/Z1n2NiJ6Br3QzrmBe7W3t+8bBMGHqtXql9D2NJJrl3sLAmsbAhKA17YdkfmsFgSMMfC2bQ2C4JfMfCMzI7AW8zrtt/JA8wmt9XFEpLz3xxMRWmo2SpJkg9okOzs7g/7+fqSN9yKi07z3T+Rp2cg5B0/dhh/W2suZ+SgiQloa7VPXQUHLe39SmqYDtWsYNzAzcHgoT9H/PmdT31QTJOns7BxbrVbBvNbMjPQ8Xjrw+S97739WLpd/2fBgyQIEgWEgIAF4GGDJpc2DgLUWtcgPI6hWq9W/a60vzdOoZydJck8egD+SB53n+/r6OlpaWp5FPywR3euc+1B+DU6/Dh65SqkU7URKqenwzU2SBOznhh9IW+e1bKSS4Qn8JbQdEdFn4zhOsEBco7U+x3v/vSRJTgzD8GC8vDDzrbXT/7Rp0yaNGzfuN2BZE9G58BtWSh0AVnmxWNy0RgRreMBkAYJAnQhIAK4TKLmsuRAIwxAtP51EtLNSqjU3HgATeEsIVHjvYawwlYggkuHSNL0sV476BTMjxbxfS0vLY5VK5TPVavX/CoXCmd77dZGOJiLUi6s4NadpihRzQw9jDHSrQaoCOW1fIsKa0H50aH9//xH9/f3/XWeddX5ORN1Zll2VpumTOVsc2QNkDj61ZMmSH7e0tIAJjXauKcyMOjP6o8EOLydJ8tlaq1dDgyWTFwSGgYAE4GGAJZc2FwJ5GnozItoRLN4kSba01j7wP9+BAZMCh1acZVdtjEGwuAimC+h9jeN4B2sttJ2/q5R6p/f+knK5DGGLphnWWngB4wQM8hnS62/O24w2wynWe39DmqaXDIEV2N9Q1pqrlNq/VCptVqlUrlFK/QtpexhBOOcOahqgZCGCwDAQkAA8DLDk0uZCwFp7mPce7j4gWn0TSk25ROMNEKogoi/GcYyU6VIjN6ofaKdhZtR836WUmletVs8LggBtRf/AKbCZ0Oro6IBoRxv6lfP0fcTMTxPRdmjHgt1imqZ3Lrvmzs7OUn9/P3qEIbkJEZMxqBPXREdg9JAkSbmZsJK1CAL1IiABuF6k5LqmRiBXpgLJaveFCxduPG/evJdfb8EgXy1atGi9YrEIEtE859xlTQ3QoMUhGGdZBub2umBHQzFrRQzmMAyRnkfAvst7/5k0TdHaJUMQGNUISAAe1dsvi68hEIbhR4kI/biLlFLzlVK/cc59YXkIWWtBvELP8PvRapMLVpwxGhC11m4J9ySk4PMswBVJkiA1PeQwxlwHLWhmfh96i7Mss+VyGX3DMgSBUY2ABOBRvf2je/HWWhguTEyS5IvGGJCITmPmmUR0NJSwtNbhUMpU1lr44e7LzNsgba2UgvDER3Inoc0h2pEkyVebCV1jzC+gmqWUeomIDvTeX6e1hjsS2o7KuXTla3qdrbXTmBn+yBhgl8OqEYSuL4HoprV+y7JiIM2Em6xFEHg9BCQAy/djVCJgjIGf7deUUm8nIvSlvqCUOpCZD8zZz5Ch/PlQ0olRFO2bZVkE6UWIdWitt2fmu5RSMKd/r1LqPtgUPvLII93z58+vNDrAxhi0VcEdaVdYMOK0n6bp+caYHzDzj4IggGTl751zH1t2rZnHOtQAAAbsSURBVMaYz0Ccg4hAZrs+y7JPaq3xcrIhEcHkAu5P1+2yyy43nHPOOQOGFzIEgdGCgATg0bLTss6lELDW4kS3F9x+chLWeLB5J02atMUVV1zxukGztbW1pabnHEURTs04CaI/Fn3C85l5e601ZBiPLpfLsxsd+iiKboOql1IK2tGP5y1EU7z3e6Zp+gDWNxiT5a03DEMojB3CzPjMW5VSzymlPkBEz4FV3eg4yfwFgeEiIAF4uIjJ9U2BQO5QNBmWgES0qVLqSihYxXHcOdwFWmtvhYyl9/7oIAj+gFMdTOyTJDl+uPdaG683xpxFROhzfhcRwaQiZma0aH1wOPOF9nWxWISM55be+wOCIHgLM/80y7K3l8tl6GbLEARGFQISgEfVdstiawhYa59m5peJaL8sy8Zorb/JzOO11kc65/5RL1LW2s8z8xe11uU4jjuiKNqJmaEA1eG9by+XyxCsaNjR1ta2WaFQeBjpde89dK3v9d5foZTaj5nPSZLk4noXB69lIro2d2A6RWs9GcQ3pRTMHELn3Lx67yXXCQLNgIAE4GbYRVnDSiGAE1lPTw9qvxgURdEG8O8dzs2mTZs2fsyYMZumafrPwUpOxpgDkiQB07eh65pTp04tTJgwYbdKpfJST08PatzQfZ5QLBb7qtXqW+M4vr9evBDMi8Xi+L6+vhfnzp0L4wYVRVFnpVJ5PMuyv/f29j5T773kOkGgGRCQANwMuyhrEAQEAUFAEGg4BCQAN9yWyYQFAUFAEBAEmgEBCcDNsIuyBkFAEBAEBIGGQ0ACcMNtmUxYEBAEBAFBoBkQkADcDLsoaxAEBAFBQBBoOAQkADfclsmEBQFBQBAQBJoBAQnAzbCLsgZBQBAQBASBhkNAAnDDbZlMWBAQBAQBQaAZEJAA3Ay7KGsQBAQBQUAQaDgEJAA33JbJhAUBQUAQEASaAQEJwM2wi7IGQUAQEAQEgYZDQAJww22ZTFgQEAQEAUGgGRCQANwMuyhrEAQEAUFAEGg4BCQAN9yWyYQFAUFAEBAEmgEBCcDNsIuyBkFAEBAEBIGGQ0ACcMNtmUxYEBAEBAFBoBkQkADcDLsoaxAEBAFBQBBoOAQkADfclsmEBQFBQBAQBJoBAQnAzbCLsgZBQBAQBASBhkNAAnDDbZlMWBAQBAQBQaAZEJAA3Ay7KGsQBAQBQUAQaDgEJAA33JbJhAUBQUAQEASaAQEJwM2wi7IGQUAQEAQEgYZDQAJww22ZTFgQEAQEAUGgGRCQANwMuyhrEAQEAUFAEGg4BCQAN9yWyYQFAUFAEBAEmgEBCcDNsIuyBkFAEBAEBIGGQ0ACcMNtmUxYEBAEBAFBoBkQkADcDLsoaxAEBAFBQBBoOAQkADfclsmEBQFBQBAQBJoBAQnAzbCLsgZBQBAQBASBhkNAAnDDbZlMWBAQBAQBQaAZEJAA3Ay7KGsQBAQBQUAQaDgEJAA33JbJhAUBQUAQEASaAQEJwM2wi7IGQUAQEAQEgYZDQAJww22ZTFgQEAQEAUGgGRCQANwMuyhrEAQEAUFAEGg4BCQAN9yWyYQFAUFAEBAEmgEBCcDNsIuyBkFAEBAEBIGGQ0ACcMNtmUxYEBAEBAFBoBkQkADcDLsoaxAEBAFBQBBoOAQkADfclsmEBQFBQBAQBJoBAQnAzbCLsgZBQBAQBASBhkNAAnDDbZlMWBAQBAQBQaAZEJAA3Ay7KGsQBAQBQUAQaDgEJAA33JbJhAUBQUAQEASaAQEJwM2wi7IGQUAQEAQEgYZDQAJww22ZTFgQEAQEAUGgGRCQANwMuyhrEAQEAUFAEGg4BCQAN9yWyYQFAUFAEBAEmgEBCcDNsIuyBkFAEBAEBIGGQ0ACcMNtmUxYEBAEBAFBoBkQkADcDLsoaxAEBAFBQBBoOAQkADfclsmEBQFBQBAQBJoBAQnAzbCLsgZBQBAQBASBhkNAAnDDbZlMWBAQBAQBQaAZEJAA3Ay7KGsQBAQBQUAQ+P/26qAIAACAgGD/1nKc2Qash5yAA85NJjABAgQIPAg44IcVdSBAgACBnIADzk0mMAECBAg8CDjghxV1IECAAIGcgAPOTSYwAQIECDwIOOCHFXUgQIAAgZyAA85NJjABAgQIPAg44IcVdSBAgACBnIADzk0mMAECBAg8CDjghxV1IECAAIGcgAPOTSYwAQIECDwIOOCHFXUgQIAAgZyAA85NJjABAgQIPAg44IcVdSBAgACBnIADzk0mMAECBAg8CDjghxV1IECAAIGcgAPOTSYwAQIECDwIOOCHFXUgQIAAgZyAA85NJjABAgQIPAg44IcVdSBAgACBnIADzk0mMAECBAg8CDjghxV1IECAAIGcwABLWv4ZtUZMAwAAAABJRU5ErkJggg==</pentrails><costumes><list struct="atomic" id="170"></list></costumes><sounds><list struct="atomic" id="171"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="85.42518691258465" y="-35.68164858948404" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="0" color="80,80,80,1" pen="tip" id="176"><costumes><list struct="atomic" id="177"></list></costumes><sounds><list struct="atomic" id="178"></list></sounds><blocks></blocks><variables></variables><scripts><script x="10" y="14.333333333333712"><block s="receiveGo"></block><block s="clear"></block><custom-block s="initialize variables %n %n"><l>4</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicEquals"><list><block var="#1"/><block var="#2"/></list></block></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><l>0.5</l><l>0.5</l></custom-block></script></block></script><script x="10" y="189.83333333333383"><custom-block s="// %txt"><l>cantor set</l></custom-block><block s="clear"></block><custom-block s="initialize variables %n %n"><l>4</l><l>125</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>2</l><l>5</l></block><block s="reportQuotient"><l>3</l><l>5</l></block></custom-block></script></block></script><script x="10" y="351.50000000000057"><custom-block s="// %txt"><l>pentaflake</l></custom-block><block s="clear"></block><custom-block s="initialize variables %n %n"><l>5</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportDifference"><l>1</l><block s="reportQuotient"><l>1</l><custom-block s="phi"></custom-block></block></block><block s="reportQuotient"><l>1</l><custom-block s="phi"></custom-block></block></custom-block></script></block></script><script x="10" y="518.0000000000001"><custom-block s="// %txt"><l>sierpinski hexagon</l></custom-block><block s="clear"></block><custom-block s="initialize variables %n %n"><l>6</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>3</l></block><block s="reportQuotient"><l>2</l><l>3</l></block></custom-block></script></block></script><script x="430" y="10"><block s="clear"></block><custom-block s="initialize variables %n %n"><l>6</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportModulus"><block var="#1"/><l>2</l></block><block s="reportModulus"><block var="#2"/><l>2</l></block></list></block></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block></script></block></script><script x="429" y="178.00000000000006"><block s="clear"></block><custom-block s="initialize variables %n %n"><l>6</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportModulus"><block var="#1"/><l>3</l></block><block s="reportModulus"><block var="#2"/><l>3</l></block></list></block></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block></script></block></script><script x="430" y="351.0000000000001"><block s="clear"></block><custom-block s="initialize variables %n %n"><l>8</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><block s="reportVariadicSum"><list><block var="#1"/><block var="#2"/></list></block><l>8</l></list></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block></script></block></script><script x="841.9999999999998" y="15.666666666667538"><block s="clear"></block><custom-block s="initialize variables %n %n"><l>3</l><l>180</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>3</l></block><block s="reportQuotient"><l>1</l><l>3</l></block></custom-block></script></block></script><script x="846.9999999999998" y="221.33333333333405"><block s="clear"></block><custom-block s="initialize variables %n %n"><l>3</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>2</l><l>3</l></block><block s="reportQuotient"><l>1</l><l>3</l></block></custom-block></script></block></script><script x="10" y="682"><custom-block s="// %txt"><l>sierpiński triangle</l></custom-block><block s="clear"></block><custom-block s="initialize variables %n %n"><l>3</l><l>150</l></custom-block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>2</l></block><block s="reportQuotient"><l>1</l><l>2</l></block></custom-block></script></block></script><script x="13" y="846.9999999999997"><block s="clear"></block><custom-block s="// %txt"><l>if you want to get more advanced, points can also be set manually</l></custom-block><custom-block s="// %txt"><l>here&apos;s a sierpiński carpet</l></custom-block><block s="doSetVar"><l>points</l><block s="reportNewList"><list><block s="reportNewList"><list><l>200</l><l>0</l></list></block><block s="reportNewList"><list><l>200</l><l>200</l></list></block><block s="reportNewList"><list><l>0</l><l>200</l></list></block><block s="reportNewList"><list><l>-200</l><l>200</l></list></block><block s="reportNewList"><list><l>-200</l><l>0</l></list></block><block s="reportNewList"><list><l>-200</l><l>-200</l></list></block><block s="reportNewList"><list><l>0</l><l>-200</l></list></block><block s="reportNewList"><list><l>200</l><l>-200</l></list></block></list></block></block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>3</l></block><block s="reportQuotient"><l>1</l><l>3</l></block></custom-block></script></block></script><script x="16" y="1074.6666666666667"><block s="clear"></block><custom-block s="// %txt"><l>vicsek snowflake</l></custom-block><custom-block s="initialize variables %n %n"><l>4</l><l>250</l></custom-block><block s="doAddToList"><block s="reportNewList"><list><l>0</l><l>0</l></list></block><block var="points"/></block><block s="doForever"><script><custom-block s="pick point %predRing"><block s="reifyPredicate"><autolambda><block s="reportBoolean"><l><bool>true</bool></l></block></autolambda><list><l>#1</l><l>#2</l></list></block></custom-block><custom-block s="draw point %n %n"><block s="reportQuotient"><l>1</l><l>3</l></block><block s="reportQuotient"><l>1</l><l>3</l></block></custom-block></script></block></script></scripts></sprite><watcher var="points" style="normal" x="10" y="31.000001999999995" color="243,118,29" hidden="true"/><watcher var="point num" style="normal" x="10" y="10" color="243,118,29"/><watcher var="sides" style="normal" x="10" y="31.000001999999995" color="243,118,29" hidden="true"/><watcher var="previous point num" style="normal" x="10" y="32.00000399999999" color="243,118,29"/></sprites></stage><variables><variable name="points"><list id="659"><item><list struct="atomic" id="660">0,150</list></item><item><list struct="atomic" id="661">150,9.184850993605149e-15</list></item><item><list struct="atomic" id="662">1.8369701987210297e-14,-150</list></item><item><list struct="atomic" id="663">-150,-2.7554552980815446e-14</list></item></list></variable><variable name="point num"><l>2</l></variable><variable name="sides"><l>4</l></variable><variable name="previous point num"><l>3</l></variable></variables></scene></scenes></project><media name="chaos game" app="Snap! 8.2, https://snap.berkeley.edu" version="2"></media></snapdata>