{"id":11520,"date":"2019-05-23T12:49:10","date_gmt":"2019-05-23T15:49:10","guid":{"rendered":"https:\/\/www.fuctura.com.br\/recife\/?p=11520"},"modified":"2021-07-30T12:25:42","modified_gmt":"2021-07-30T15:25:42","slug":"quero-revisar-logica-de-programacao","status":"publish","type":"post","link":"https:\/\/www.fuctura.com.br\/recife\/quero-revisar-logica-de-programacao\/","title":{"rendered":".:. Apostila de L\u00f3gica de Programa\u00e7\u00e3o"},"content":{"rendered":"<p>Recomendamos esse estudo para todos que est\u00e3o iniciando desenvolvimento. Nosso objetivo \u00e9 que voc\u00ea amplie seu conhecimento de l\u00f3gica at\u00e9 o n\u00edvel avan\u00e7ado.<\/p>\n<p>Inicie com o exerc\u00edcio aula, vai ficar tudo mais f\u00e1cil:<\/p>\n<hr \/>\n<p><span style=\"color: #ffff00;\"><a class=\"btn-cursosfull\" href=\"http:\/\/silentteacher.toxicode.fr\/\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>Seu primeiro exerc\u00edcio<\/strong><\/a><\/span><\/p>\n<hr \/>\n<h1 style=\"text-align: center;\">Cap<span class=\"T41\">\u00ed<\/span>tulo 1<\/h1>\n<h3 class=\"P7\">Aprendendo a Programar Computadores<\/h3>\n<p class=\"P17\">O\u00a0principal componente de um programa de computador \u00e9 a sua l\u00f3gica, ou\u00a0seja, o que o computador deve fazer para resolver um problema. A l\u00f3gica\u00a0de programa\u00e7\u00e3o \u00e9 necess\u00e1ria para pessoas que desejam trabalhar com\u00a0desenvolvimento de sistemas e programas, ela permite definir a sequ\u00eancia\u00a0l\u00f3gica para o desenvolvimento.<\/p>\n<p class=\"P33\">Devemos ent\u00e3o\u00a0DESCREVER essa l\u00f3gica numa linguagem que o computador \u201centenda\u201d, \u00e9 mais\u00a0f\u00e1cil come\u00e7ar a programar (organizar a l\u00f3gica) em uma linguagem de alto\u00a0n\u00edvel. Qual \u00e9 a linguagem de mais alto n\u00edvel para um ser humano que fala naturalmente o portugu\u00eas? O caminho mais tranquilo \u00e9 por meio de\u00a0ALGORITMOS.<\/p>\n<h3 class=\"P10\">Defini\u00e7\u00e3o de Algoritmo<\/h3>\n<p class=\"P32\"><span class=\"T4\">\u00c9\u00a0uma sequ\u00eancia finita de instru\u00e7\u00f5es, ordenada de forma l\u00f3gica para a\u00a0resolu\u00e7\u00e3o de uma determinada tarefa ou problema. Um algoritmo fixa um\u00a0padr\u00e3o de comportamento a ser seguido, uma norma de execu\u00e7\u00e3o, com o\u00a0objetivo de resolver um determinado problema. <\/span><span class=\"T3\">Como\u00a0exemplos de algoritmos podemos citar os algoritmos das opera\u00e7\u00f5es\u00a0b\u00e1sicas (adi\u00e7\u00e3o, multiplica\u00e7\u00e3o, divis\u00e3o e subtra\u00e7\u00e3o) de n\u00fameros reais\u00a0decimais. Outros exemplos seriam os manuais de aparelhos eletr\u00f4nicos,\u00a0como um videocassete, que explicam passo-a-passo como, por exemplo,\u00a0gravar um evento.\u00a0 <\/span>At\u00e9 mesmo as coisas mais simples, podem ser descritas por sequ\u00eancias l\u00f3gicas. Por exemplo:<\/p>\n<h4 class=\"P14\">\u201cChupar uma bala\u201d<\/h4>\n<ol>\n<li>Pegar a bala<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li>Retirar o papel<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li>Chupar a bala<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li>Jogar o papel no lixo<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<\/ol>\n<p class=\"P14\"><strong>\u201cSomar dois n\u00fameros quaisquer\u201d<\/strong><\/p>\n<ol>\n<li class=\"P148\" style=\"margin-left: 1,27cm;\">Escreva o primeiro n\u00famero no ret\u00e2ngulo A.<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P148\" style=\"margin-left: 1,27cm;\">Escreva o segundo n\u00famero no ret\u00e2ngulo B.<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P148\" style=\"margin-left: 1,27cm;\">Some o n\u00famero do ret\u00e2ngulo A com n\u00famero do ret\u00e2ngulo B e coloque o resultado no ret\u00e2ngulo C.<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<\/ol>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P114\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_2\" class=\"fr2\" style=\"height: 2.275cm; width: 8.68cm; padding: 0;\"><img decoding=\"async\" style=\"height: 2.275cm; width: 8.68cm;\" src=\"data:image\/*;base64,iVBORw0KGgoAAAANSUhEUgAAAUgAAABWCAYAAACtvw9sAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAZtSURBVHhe7diBbus2EETR\/P9PpyCQBRYsaY2t0VRW7wEIW9RGT5pJVKA\/vwCAJV6QALDBCxIANnhBAsDGpS\/In5+ff61PnfnZVz657lX3AjjV31xfbmeuecX9uF16h6sAlFDmmTq+ItBPrnnFfdzJeL55ferMz77yznX7c1x1P3e0elb389f1PrnuN3Rx6R1+WlAyuHf\/rZpP3mPa6tmU551nrszqnWvu7uvpVs\/pfva63ifX\/YYeLr1DpaBxXKvsjue9+uz7Q+31c6uZ\/jnU\/DzbrX7uaVbPpjxvMpN3\/q15Nnmf\/6XVc66yqNXNe6vz8+c8P+8Nfb+fW+3dwaV30x969fC743m\/6zN9bvez6v7ufKfMPIH67LXK7njeq8++P9ReP7ea6Z9Dzc+zZd7fzT1Nz6VWtzvu+6u9Yd6fz3fqNcqra6VdeierB+174\/u8ar9TZ\/pnUfd35ztl5gnGc82r2x3P+12f6XO7n1X3d+e7sdfX\/8Uui9IzqVX692F3PH+WcdxX7XVH+3dw6Z2sHrTv7YJ4NVPH7v3d+W7szeuJVs\/V9\/rz16r9Tp3pn0Xd353vlJknOsriKIdXs3U8fw5Hs+Vo\/w4uvZPVg\/a9XTDvzgzv7I\/v834\/Pxwdl93+N1s9U99Tsphn6ti9vzvfKTNPdJTFLpfVzLw378\/nu9XMcLR\/B5feyepBV2HU6vpxn6n9fn7ox312tV\/f++dQ5\/teWe0Nu\/1vdvT88\/k6fndmeGd\/fJ\/3+\/lhPh6UmSdSs6jVHe3Nn8P8va+i7N\/Jve7mAncL\/BusMpv36pd5tV\/6TO3380M\/7rOr\/freP4c63\/e6fn43A6w87reFP4ZnoDvcAb+FuAX+w4Y74jcRADZ4QQLABi9IANiQXpDz\/x9iXbcA3If8gsT13Dn3Fy\/r2oVn4gV5I+6c6S3DmfO4FiuzFNKUejGc486Z3jKcOdNZhpqzNEVpGe6c6S3DmTOdZag5S1OUluHOmd4ynDnTWYaaszRFaRnunOktw5kznWWoOUtTlJbhzpneMpw501mGmrM0RWkZ7pzpLcOZM51lqDlLU5SW4c6Z3jKcOdNZhpqzNEVpGe6c6S3DmTOdZag5S1OUluHOmd4ynDnTWYaaszRFaRnunOktw5kznWWoOUtTlJbhzpneMpw501mGmrM0RWkZ7pzpLcOZM51lqDlLU5SW4c6Z3jKcOdNZhpqzNEVpGe6c6S3DmTOdZag5S1OUluHOmd4ynDnTWYaaszRFaRnunOktw5kznWWoOUtTlJbhzpneMpw501mGmrM0RWkZ7pzpLcOZM51lqDlLU5SW4c6Z3jKcOdNZhpqzNEVpGe6c6S3DmTOdZag5S1OUluHOmd4ynDnTWYaaszRFaRlyaeY5nOPMmc4y5L+hv8+XKC1DLs08h3OcOdNZhvw39Pf5EqVlyKWZ53DOKuexp6zZag9+as7SFKVlyKWZ53DOKuexp6zZag9+as7SFKVl7HIe+0drZbcPL2fOdJah5ixNUVrGLuexf7RWdvvwcuZMZxlqztIUpWXIpZnncM4q57GnrNlqD35qztIUpWXIpZnncM4q57GnrNlqD35qztIUpWXIpZnncI4zZzrLkP+G\/j5forQMuTTzHM5x5kxnGfLf0N\/nS5SW4c6Z3jKcOdNZhpqzNEVpGe6c6S3DmTOdZag5S1OUluHOmd4ynDnTWYaaszRFaRnunOktw5kznWWoOUtTlJbhzpneMpw501mGmrM0RWkZ7pzpLcOZM51lqDlLU5SW4c6Z3jKcOdNZhpqzNEVpGe6c6S3DmTOdZag5S1OUluHOmd4ynDnTWYaaszRFaRnunOktw5kznWWoOUtTlJbhzpneMpw501mGmrM0RWkZ7pzpLcOZM51lqDlLU5SW4c6Z3jKcOdNZhpqzNEVpGe6c6S3DmTOdZag5S1OUluHOmd4ynDnTWYaaszRFaRnunOktw5kznWWoOUtTlJbhzpneMpw501mGmrM0RWkZ7pzpLcOZM51lqDlLU5SW4c6Z3jKcOdNZhpqzNEVpGe6c6S3DmTOdZag5S1OUluHOmd4ynDnTWYaaszQ1LsbKLCf39bDmzJnOMtScaePBxi8BK7NcnNfCnpozbQA30l+6rGuXghckAGzwggSADV6QALDBCxIANnhBAsAGL0gA2OAFCQAbvCABYIMXJAAs\/f7+A1No5kXRS8XUAAAAAElFTkSuQmCC\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P45\">Existem diversas solu\u00e7\u00f5es para um problema, desta forma pode-se haver v\u00e1rios algoritmos para resolver um mesmo problema, afinal, cada pessoa pensa e age de forma diferente. O desenvolvimento de um algoritmo \u00e9 um exerc\u00edcio de criatividade e experi\u00eancia.<\/p>\n<p class=\"P45\"><span class=\"T4\">Diferentes algoritmos podem estar corretos, se levarem ao alcance do objetivo final. Entretanto, deve-se procurar desenvolver algoritmos que resolvam o problema com <\/span><span class=\"T8\">menos esfor\u00e7o<\/span><span class=\"T4\"> e <\/span><span class=\"T9\">maior objetividade<\/span><span class=\"T4\">.<\/span><\/p>\n<h1 class=\"P130\" style=\"text-align: center;\"><span class=\"T41\">C<\/span>ap\u00edtulo 2<\/h1>\n<h3 class=\"P8\">Desenvolvendo algoritmos<\/h3>\n<p class=\"P11\"><span class=\"T3\">Os algoritmos s\u00e3o descritos em uma linguagem chamada <\/span><span class=\"T7\">pseudoc\u00f3digo<\/span><span class=\"T3\">. Este nome \u00e9 uma alus\u00e3o \u00e0 posterior implementa\u00e7\u00e3o em uma linguagem de programa\u00e7\u00e3o, ou seja, quando formos programar em uma linguagem, por exemplo Java, estaremos gerando c\u00f3digo em Java. Ao contr\u00e1rio de uma linguagem de programa\u00e7\u00e3o n\u00e3o existe um formalismo r\u00edgido de como deve ser escrito o algoritmo, este deve ser f\u00e1cil de se interpretar e f\u00e1cil de codificar, ou seja, ele deve ser o intermedi\u00e1rio entre a linguagem falada e a linguagem de programa\u00e7\u00e3o. <\/span>Para escrever Algoritmos (programas) \u00e9 necess\u00e1rio o uso de Instru\u00e7\u00f5es \/ Comandos:<\/p>\n<ul>\n<li>\n<p class=\"P161\" style=\"margin-left: 0,751cm;\"><span class=\"T10\">Instru\u00e7\u00e3o\/Comando<\/span><span class=\"T3\">: S\u00e3o frases que indicam as a\u00e7\u00f5es a serem executadas. S\u00e3o compostas de um verbo no imperativo, ou no infinitivo, mais um complemento.<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<h3 class=\"P8\">Pseudoc\u00f3digo<\/h3>\n<p class=\"P99\">Pseudoc\u00f3digo \u00e9 uma forma de representa\u00e7\u00e3o de algoritmos, \u00e9 praticamente um programa escrito em portugu\u00eas que, depois, podemos passar para o computador. Para escrevermos c\u00f3digos com pseudoc\u00f3digo precisaremos <span class=\"T41\">de um programa chamado visual (dispon\u00edvel gratuitamente na Internet) e<\/span> conhecer alguns comandos b\u00e1sicos, s\u00e3o eles:<\/p>\n<ul>\n<li><span class=\"T18\"> escreva (&#8221; &#8220;)<\/span><span class=\"T17\">= comando usado para imprimir uma mensagem na tela;<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li><span class=\"T18\">leia () <\/span><span class=\"T17\">= comando usado para ler valores digitados no teclado;<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li><span class=\"T18\">&lt;-<\/span><span class=\"T17\">= comando de atribui\u00e7\u00e3o;<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li><span class=\"T18\">inici<\/span><span class=\"T19\">o <\/span><span class=\"T17\">= palavra usada para iniciar o programa principal;<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li><span class=\"T18\">fimalgoritmo <\/span><span class=\"T17\">= palavra usada para finalizar o algoritmo;<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li><span class=\"T18\">var <\/span><span class=\"T17\">= palavra usada para declarar vari\u00e1veis;<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li><span class=\"T18\">algoritmo <\/span><span class=\"T17\">= palavra usada para indicar o in\u00edcio do programa.<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<\/ul>\n<p class=\"P123\">\u00a0Construiremos a seguir um algoritmo para ler dois n\u00fameros. Em seguida, calcularemos a soma desses n\u00fameros, armazenando o resultado em outra vari\u00e1vel.<\/p>\n<h3 class=\"P123\">Imprimindo os dados iniciais e a soma.<\/h3>\n<p class=\"P98\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P97\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_15\" class=\"fr3\" style=\"height: 7.329cm; width: 8.985cm; padding: 0;\"><img decoding=\"async\" style=\"height: 7.329cm; width: 8.985cm;\" 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G8\/XtvPn5unYP3X3Yfeyfk6gv+4zmQ\/On5y3ugyx3986yPhFmX3xOTPppP\/i7bw7SLE+tsqpYYkLfUWRlk50O2wZGgkiSkXKC01QeASuqOOmpLKMszE5+1G8QjhVVaCdl1EiGaucXBMqiquUWzY9\/aXpUNRhecNtiQVoJBPnwYqvKqzq8YGgRRVs+sXjDNScSqucWHZWTSGw924a3HFSf6qRi0a4RLfNheYo2LK5orhnUe+D65\/FaZFU9N3oeVtxePrKt+3fVNmyzxBjbsi8\/96SdvYdyDtOBJLX9zn5I0nv+8b7Z+tXTuF6XrNyb9DLOr+aXFZV1iIrQBq8jIP84SQefyCEijXgiEpFJWTWEJOeQjB\/VTcoqIlnRFnDs\/Xu6MCqiReUWZJCRkIMlJyvXp5BOkBX3KRefqO+vtcpKm48yj8Y4GRr3IBVOm6xsGcsqzMO2ra+5ttFzskKP7rMra7RT77ECz8dHY5Lk3i4RjqiknGjr11tW7px2CVvB+WRVKCpCG9zKQGypHDJakunjs6JokEpQkG7j0r6FBOMxmn0uRVaJFJqyalvw2kKihejaCLkFWdE1ZVFFfbTKSpuPIjz1mkLjHvSQlRCMvWd1W3q+zefp+8rPLbr\/LdemgN8GhmsbKyv+a2CZqAhtcG3blcVLJsihK7IaEpERvi1FUrKPZp\/RFnZh28B0oQpxZOXgGSgrTUSS3rJS5tE5d4d6D3KyoudWLqu8YPKy2rTIan5ZTWAbSOdUbx+9jK61oQ3eOD9y186dEB4exVKhSKauS\/JoP7NSZeXayShNjkmEaC6SWjxXnkslszryWuQBu33M0YBcuI3FmjJAVnLBhzbn5lwuqN6ycos8fS7Ros+Q3INIVpFU7LxJACWy4ueQzvVv1fPkf+dlZZ+jKNP6mQijyGpdDtjtwbn8LFUFfZShKuO\/\/qVlROZsSxvcYiVQb8lqyQRpeBoRkRVPXcdHaW2yInLtHG57Ggutvk5tWFpplNby0YVB8MLw78CJqEJ5t6zid\/AuWfk6Ytx0DF6grkwKp2M+LCjfTpOdhpCOvSZl5STIfdI1IWfRTpUV9SWfBxGeS4usiKhdS70lMuSDmq2yon9HXxFE3E5+t+v40YUR0AbfRHIfCh1EY6ECkOfJjWV+qvyJeT\/6XxqLB7JaBI3\/bjMQyAoUwm+SSxLHkChuDCArAMAkYFlp3z81Ntr30wAAQCmQFQBgEkBWi+DlkblKZ1bvHpnXfG1mDm9tmZ1PZ+aHi0Ozs7tjDi+SNhPl+PaW2Xuil43Lsdnjv77tDUv8sfas12vEJwW5eve1Wr4KumVFqbYoc02SiuskzXzTkY5LG3wTsb\/kq+YoSTRKi7p+IW7OgluWrI5vb6qkapb+GkkzGTVSsL02R+\/KN93V0iorFhJJqC1vIPOduXP4tbn24DulzKINvnG0JFKYfbrjFnUVIdw63Ji8fMuLrDafZb9Gjr\/wqe0ImZdT1nPCWoNMRmXbwE5ZvTH7VXS1f6KVWbTBPce\/qT+gufdnWXZh9tx1y7MkNXpa\/lf3bkTXqe4bc\/ieK3vvTPzyxXXRJ8\/jNxeujuPPf43b0mM5Zqhvf6n7J67eWDzZEx9ArEhfxLL89nHclt+hm23DO7ivR334fqkN\/Vu2Tfql9qHPilpWdisTytL5ZKBFSvOhn40+5dwY2g7aLZJtd+zGrCIRP2c5bvb++H7EnMU40XOMxp8SPr+myE2ZTWCbk1UFH2s0dwvLZi5Z3b\/rt4Hn5s5ZXJaiDU5Egnh5ZnaCcKoX471nTXkErKh27r3JlD0zO5WQWH7UbxCOFVVoJ2WUjE\/Q\/IJAWVS13KL58S907PRUdiFlIxdeiH67kNR1Czd67BZdt6wqCYR+azlQXV7EyaL2Y3BZEII4g3F1c7B0qjFDWzmfDlltSeFQPfE8W++P62fHXxPtuF8xZvy8pgRJirKR+0zfVkhaAl3OYp4VmX0jXvX51aiRVf9toI+A\/GMrkpwcItKIJyIRmZRVQ0hyDsn4Ud2krCKSFW0BF7C3T+WQlkkZ8CJzi0r+m+kjKyEnu8j941hcBPVlBdAsa4pGJ5WDnGunrPg5ChG1PM\/4nlA\/ojy0S6XmygrOkLh\/H41JovkvExtRSTnVWctrKEN3XlSWdUhqO5KsKqhOyyG7NriVgdhSOWS0xEJw17OiaJBKUJBu49K+hQTjMZp9LkNWfiHaF75cMPK6oG3BZRZxQ1bR4qK+nIQU+QRZaQu6xyKP5iPn0CEr207MMbRtuz9xP2Hc7PVc3XXHbwPra6msSkRFQFbKtiuLl4yXQ2dkNSQiI3xbiqRkH80+4y3sIraBMSQGWnBWQoqQAs0yftd3C1WNOPwi7iUrG53YcZQFrchNo5esWIB2nBJZ6feHyAlIacdjTjWyapEV\/TWwQFST3wbeP5GPh\/41MDk\/ctdmTgjH92KpUCRT1yV5tJ9ZqbJy7WSUJsckQjQXSS2eK8+lklkdeS3igP3YHMpFLBdl9TiSjGN2Yeuz2KIFT+cz9jG3k9tFuaDaZMWL1i9kez2c+VR1ecywzbKLPpJQhlo67pqcgxSFG9+eU8l2yRzl84yeS3XN3Z+2aCltFz+vKdEuK21LqDKFA3b+6IL\/HJXHRU\/14bqlTVSENrjFSqDektWSCdLwNCIiK566jo\/S2mRF5No53PY0Flp9ndqwtNIoreWjC8OwC16+S6eLP8imUW6jHr5OC08KQJbRIpTRS1SPECKoHsvxSFK0kOsoJJlv4QKvpeOuJXNgWXCfJK1aMnU7XVa+7zCfivj+6LIi6jErovuxKtxHCHpJo01W9rA9+pyVI\/6LoBt3Mh9dGAFt8E0k96HQlVO4JQPrzKnZX+pri8abyIdCx0QbfGNp\/HebZUORhjxjsRFPGpWBKbHcc6Np\/nebkdAGB4sjv\/0BYJqwrB4r3z81Ntr30wAAQCmQFQBgEkBWi6DxtcY2kQEnLeCkCuuRZGC5bMg9GOsrq0FvumXF+QHzWWseP39pblxvK7dog28iuYQRlNmlXqjTTN00L5t0D0ZNDAKKaJUVp+Ki1Fu5jMy+TqvMLNrgG0dLKi5KBxXy8l3SJBCbdg+ssEZObAuylG0Dc7LyWZlbZObRBvdwZmP3Ycs4V1+a3y\/NBdiVN1DkJFQSlqZ9RhmWPY3cgC4ztGeRSU6JNLddtMjt1iqURXnvqsjFtaVoxubsE1svjm5E26nKI81vFyXk\/MYcvCPKfE48l7jz4cf7fH33T76eyItHdXw7Qk30ubxsxGAuWdnt388f5cpjtMGJSBBJOnlOcprKI2BF1ZaRebsSEsuP+g3CSbJASxkp6expfkGgLKokCauf3yLSxzsZ1clHY1hAQVDiTMgnKaUyJyzqg+qHBKDuGrelOpOUlZVMlKhTQEk86wzDtu72x98EEdG\/z1lY++bgOZXTz6quKw\/9khAzWYmXmQLrsjNYVrz989cGy8pHQP6xFUlODhFpxBORiEzKqiEkOYdk\/KhuUlYRyYq2gAt40bKQVJEoWYODdESZEJGXFf20UkvbuccZ6uzHCSsUHQtJFclTs8sSEte8dFhGNopiWbHQallRnyy1tJ1\/LFnImxTQGCYrv\/3LlStog1sZiC2VQ0ZLMoV8VhQNUgkK0m1c2reQYDxGs89lyCre6olDae2QOlxz20C6RiJy0ZeVlRKtTTayIvwWjki3cUm6c3+Nfjr5kKysmLysbH+NtOqQ1cqZQ1af2YP1BN4WyrYObXBt25XFSybIoSuyGhKREb4tRVKyj2af0RZ2CS9ajrIqaVnRdEVW5bLiiGmikZWEo6ywfeuIrHrIiqOvjKywDVwe8x2wewZvA5PzI3ft3Anh4VEsFYpk6rokj\/YzK1VWrp2M0uSYRIjmIqnFc+W5VDKrI69FHLA\/NAdyu8ZRVi0ollf2zConq6QdC257omnqn5oDuV0TWzl63HpmlZVV0o4FV9VRZYUD9mXSKqvwsQQJfZQhrTtYVoSVQL0lqyUTpOFpRERWPHUdH6W1yYrItXO47WkstPo6tWFppVFay0cXhiG3gJborCktD+Jql5UtF23W4nNPduH3++ySFVD4i11FdNaUlid\/DczJykZloo3fPoZ+LfjownIpi6xGQBt8E8GHBefhiXl\/IvfuyY2+YgXzAlktAvyXjAFMZEuF3+3KgKwAAJOAZaV9\/9TYaN9PAwAApUBWAIBJAFkBACZBt6zOXplrlMEmzRtI6blEdhumJbegNjgAAJTSKqsTSsVFqbe0JKcliU8F2uAAAFBK2TYQsgIArJj5ZCW2gMOTnAIAQDfDZSXJnWsJtMEBAKCUcWRFcKR1Ye5rZRXa4AAAUApkBQCYBINldXImz6jemP2OcyttcAAAKKVVVvzRBXGIztBHGZQyHLADABZJWWQ1AtrgAABQCmQFAJgEkBUAYBKwrB4r3z81Ntr30wAAQCmQFQBgEqyNrDjdkf+S\/kzao1GgbCUyGYBWBwCwdnTLyucI1LLXpPkDWzLcaIMHWCDN7CEWm2kkzloyPyzHpcrKZVqBIAEYRKusOBUXpd7SUm05UeWSmqZog3vqdEh6+SJYvqzaUBJyAgAiyraBiqw++rA9kkrRBvfkZOUz7G41FjIt7ioSc1s6amvrinqc6823r0i2lm2yqse11Nl5M3noGC8cUUfkpmv2JdFlZe\/LU9efS3sejds2HwA2i4GyemluXKeoyv7028C2KEsb3G\/xwmJjNDFp19zidMIiCZBkWAZuUQcxcFbdMlmxqETd0KcvS0RRS9bOc7u6FuYQjWnrhzk5UjFa7JbYSk4IkPoT\/bbPB4DNYi5ZRYLibeFjc+NLXydGG9xjI4jcIsvJyl0TIvJioZ9Rf8Wyao7l+1TnEfVL5WLcQllZtOco5yjahn675gPAZjGfrNRoyz+O0Qb3DJOVO5CnBeqkY8WiSKFUVkq9ICuO1pI\/AkTXdOHUDJOVvS\/U1pV7WXXOB4DNYsQzq\/WVFYtpkKxoHN+XMo+ovi6cmpFl1TkfADaLwbJq\/DWQ6tBfDmUdgTa4Z1xZ2Z9BRLyAq\/5LZMWRiReKFUQ4g6rKo36dfOp5zyMrvaxdVl3zAWCzaJUVf3TBHZ4HpJBIUKHsqflItE3RBvd0y6palOLguUtWURsqU7ZHLCtZR7lOfdV9ElYIWrtSWdm2Sj16Hr5fV94lq\/b5ALBZlEVWI6ANvv5YGejREABgmUBWkiq6iSI8jnbiiAwAsBogqwi55SQgKgDWBZYVAACsNx+Y\/wejy8kyJf++lgAAAABJRU5ErkJggg==\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P98\"><strong>Analisaremos a seguir linha a linha o algoritmo desenvolvido pra solucionar o problema de somar dois n\u00fameros:<\/strong><\/p>\n<p class=\"P96\"><strong><span class=\"Strong\"><span class=\"T22\">Linha 1: <\/span><\/span><\/strong><span class=\"T22\">usamos a palavra-chave <\/span><span class=\"Strong\"><span class=\"T22\">ALGORITMO <\/span><\/span><span class=\"T22\">para come\u00e7ar o nosso algoritmo. Observe que em seguida temos um nome entre as aspas duplas, ent\u00e3o, sempre que for desenvolver um algoritmo voc\u00ea deve escrever na primeira linha <\/span><span class=\"Strong\"><span class=\"T22\">algoritmo &#8220;nome_do_algoritmo&#8221;. <\/span><\/span><span class=\"T22\">\u00c9 importante saber que toda linguagem de programa\u00e7\u00e3o tem um modo de identificar o in\u00edcio do programa. Voc\u00ea sempre deve consultar a documenta\u00e7\u00e3o da linguagem de programa\u00e7\u00e3o que deseja trabalhar para verificar a estrutura da mesma.<\/span><\/p>\n<p class=\"P96\"><strong><span class=\"Strong\"><span class=\"T22\">Linha 2: <\/span><\/span><\/strong><span class=\"T22\">usamos a palavra-chave <\/span><span class=\"Strong\"><span class=\"T22\">VAR <\/span><\/span><span class=\"T22\">para indicar que naquele espa\u00e7o devemos declarar as vari\u00e1veis que usaremos em nosso programa.<\/span><\/p>\n<p class=\"P96\"><span class=\"Strong\"><span class=\"T22\"><strong>Linha 3<\/strong>: <\/span><\/span><span class=\"T22\">aqui s\u00e3o declaradas as vari\u00e1veis, com seus identificadores e tipos. Observe que primeiro vem o nome (identificador) da vari\u00e1vel e ap\u00f3s os dois pontos \u00e9 que vem o tipo dela. n1 e n2 s\u00e3o os dois n\u00fameros, soma \u00e9 a vari\u00e1vel que armazenar\u00e1 o resultado da opera\u00e7\u00e3o.<\/span><\/p>\n<p class=\"P96\"><span class=\"Strong\"><span class=\"T22\"><strong>Linha 5<\/strong>: <\/span><\/span><span class=\"T22\">usamos a palavra-chave <\/span><span class=\"Strong\"><span class=\"T22\">INICIO <\/span><\/span><span class=\"T22\">para indicar que a partir daquele ponto, tem-se o in\u00edcio do programa principal. Programa principal? Mas espera a\u00ed, a gente j\u00e1 n\u00e3o est\u00e1 no programa? Pois \u00e9!!! Vamos esclarecer isso. O algoritmo inteiro, das linhas 01 \u00e0 16, \u00e9 um programa, mas o programa \u00e9 dividido em partes, como<br \/>\nestamos percebendo aqui: nome do programa, declara\u00e7\u00e3o de vari\u00e1veis, etc. Isso \u00e9 norma para todas as linguagens de programa\u00e7\u00e3o. O que ocorre \u00e9 que, o que de fato o <\/span><span class=\"T22\">algoritmo vai fazer, vai no programa principal, ou seja, dentro de INICIO e FIMALGORITMO. Essas divis\u00f5es existem, pois, como veremos mais adiante, um programa na verdade \u00e9 um conjunto de programas, \u00e9 o que chamamos de modulariza\u00e7\u00e3o. N\u00e3o fiquem com medo, logo falaremos sobre isso. No momento, o mais importante \u00e9 saber que o programa principal \u00e9 aquele que faz EXECUTAR os seus comandos.<\/span><\/p>\n<p class=\"P96\"><span class=\"Strong\"><span class=\"T22\"><strong>Linha 7<\/strong>: <\/span><\/span><span class=\"T22\">usamos o comando ESCREVA para que seja impresso na tela do usu\u00e1rio um texto. Neste caso, est\u00e1 sendo impresso na tela um texto de solicita\u00e7\u00e3o. Solicitamos que o usu\u00e1rio digite um n\u00famero.<\/span><\/p>\n<p class=\"P96\"><strong><span class=\"Strong\"><span class=\"T22\">Linha 8: <\/span><\/span><\/strong><span class=\"T22\">usamos o comando LEIA para que o valor digitado pelo usu\u00e1rio, no teclado, seja armazenado na vari\u00e1vel correspondente. Portanto, ser\u00e1 atribu\u00eddo \u00e0 vari\u00e1vel N1 o valor que o usu\u00e1rio digitar.<\/span><\/p>\n<p class=\"P96\"><span class=\"Strong\"><span class=\"T22\"><strong>Linha 9<\/strong>: <\/span><\/span><span class=\"T22\">idem \u00e0 linha 7.<\/span><\/p>\n<p class=\"P96\"><span class=\"Strong\"><span class=\"T22\"><strong>Linha 10<\/strong>: <\/span><\/span><span class=\"T22\">idem \u00e0 linha 8.<\/span><\/p>\n<p class=\"P96\"><span class=\"Strong\"><span class=\"T22\"><strong>Linha 11<\/strong>: <\/span><\/span><span class=\"T22\">aqui \u00e9 realizada uma opera\u00e7\u00e3o matem\u00e1tica, mais especificamente aritm\u00e9tica. Observe que usamos o comando &lt;- para que seja atribu\u00eddo \u00e0 vari\u00e1vel SOMA o resultado da soma entre os valores armazenados em n1 e n2.<\/span><\/p>\n<p class=\"P96\"><span class=\"Strong\"><span class=\"T22\"><strong>Linha 12<\/strong>: <\/span><\/span><span class=\"T22\">aqui novamente usamos o comando escreva, mas observe que desta vez tem algo diferente em rela\u00e7\u00e3o \u00e0s linhas 7 e 9. Estamos imprimindo na tela, junto com o texto que queremos, os valores das vari\u00e1veis. Isso \u00e9 feito usando-se a v\u00edrgula e, pondo ap\u00f3s ela, a vari\u00e1vel que queremos que seja impressa na tela.<\/span><\/p>\n<p class=\"P96\"><strong><span class=\"Strong\"><span class=\"T22\">Linha 13: <\/span><\/span><\/strong><span class=\"T22\">idem \u00e0 linha 12<\/span><\/p>\n<p class=\"P96\"><span class=\"Strong\"><span class=\"T22\"><strong>Linha 14<\/strong>: <\/span><\/span><span class=\"T22\">idem \u00e0 linha 12<\/span><\/p>\n<p class=\"P96_borderEnd\"><span class=\"Strong\"><span class=\"T22\"><strong>Linha 16<\/strong>: <\/span><\/span><span class=\"T22\">usamos a palavra-chave FIMALGORITMO para finalizar o programa principal e terminar a execu\u00e7\u00e3o do programa. Essa palavra chave for\u00e7a a sa\u00edda do<br \/>\nprograma, fechando a janela e liberando o espa\u00e7o de mem\u00f3ria que estavam reservados para as vari\u00e1veis.<\/span><\/p>\n<h3 class=\"P53\">\u00a0Regras para constru\u00e7\u00e3o do Algoritmo:<\/h3>\n<p class=\"P15\"><strong>Para escrever um algoritmo precisamos descrever a sequ\u00eancia de instru\u00e7\u00f5es, de maneira simples e objetiva. Para isso utilizaremos algumas t\u00e9cnicas:<\/strong><\/p>\n<ul>\n<li class=\"P150\" style=\"margin-left: 1,27cm;\">Usar somente um verbo por frase.<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P150\" style=\"margin-left: 1,27cm;\">Imaginar que voc\u00ea est\u00e1 desenvolvendo um algoritmo para pessoas que n\u00e3o trabalham com inform\u00e1tica.<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P150\" style=\"margin-left: 1,27cm;\">Usar frases curtas e simples.<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P150\" style=\"margin-left: 1,27cm;\">Ser objetivo.<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P149\" style=\"margin-left: 1,27cm;\">Procurar usar palavras que n\u00e3o tenham sentido d\u00fabio.<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<\/ul>\n<p class=\"P94\"><strong>Uma linguagem (ou pseudo-linguagem) possui duas caracter\u00edsticas:<\/strong><\/p>\n<p class=\"P95\"><strong><span class=\"T8\">Sintaxe<\/span><\/strong><span class=\"T4\"> &#8211; como escrever os comandos e seus componentes; <\/span><\/p>\n<p class=\"P95\"><strong><span class=\"T8\">Sem\u00e2ntica<\/span><\/strong><span class=\"T4\"> &#8211; o significado de cada comando e conceito. <\/span><\/p>\n<p class=\"P100\">A sintaxe e a sem\u00e2ntica de uma linguagem de programa\u00e7\u00e3o englobam v\u00e1rias a\u00e7\u00f5es, como, por exemplo: Declara\u00e7\u00f5es de Vari\u00e1veis; Operadores; Comandos de entrada e de sa\u00edda; Comandos de sele\u00e7\u00e3o, repeti\u00e7\u00e3o etc.<\/p>\n<h3 class=\"P53\">Exemplo de Algoritmo<\/h3>\n<p class=\"P15\">Imagine o seguinte problema: Calcular a m\u00e9dia final dos alunos da 3\u00aa S\u00e9rie. Os alunos realizar\u00e3o quatro provas: P1, P2, P3 e P4.<\/p>\n<p class=\"P42\"><strong>Onde: <\/strong><span class=\"T3\">M\u00e9dia Final = <\/span><span class=\"T12\">P1 + P2 + P3 + P4<\/span><\/p>\n<p class=\"P42\"><strong>Para montar o algoritmo proposto, faremos tr\u00eas perguntas:<\/strong><\/p>\n<ul>\n<li class=\"P165\" style=\"margin-left: 1,752cm;\"><span style=\"display: block; float: left; min-width: 0,635cm;\"><br \/>\n<\/span><strong>Quais s\u00e3o os dados de entrada?<span class=\"odfLiEnd\">\u00a0<\/span><\/strong><\/li>\n<\/ul>\n<p class=\"P101\">R: Os dados de entrada s\u00e3o P1, P2, P3 e P4<\/p>\n<ul>\n<li><strong><span style=\"display: block; float: left; min-width: 0,635cm;\">\u00a0<\/span>Qual ser\u00e1 o processamento a ser utilizado?<span class=\"odfLiEnd\">\u00a0<\/span><\/strong><\/li>\n<\/ul>\n<p class=\"P127\">R: O procedimento ser\u00e1 somar todos os dados de entrada e dividi-los por 4 (quatro). <span class=\"T12\">P1 + P2 + P3 + P4<\/span><\/p>\n<ul>\n<li>\n<p class=\"P165\" style=\"margin-left: 1,752cm;\"><strong>Quais ser\u00e3o os dados de sa\u00edda?<span class=\"odfLiEnd\">\u00a0<\/span><\/strong><\/p>\n<\/li>\n<\/ul>\n<p class=\"P128\">R: O dado de sa\u00edda ser\u00e1 a m\u00e9dia final<\/p>\n<h3 class=\"P47\">Algoritmo<\/h3>\n<ul>\n<li class=\"P15\">Receba a nota da prova1<\/li>\n<li class=\"P15\">Receba a nota de prova2<\/li>\n<li class=\"P15\">Receba a nota de prova3<\/li>\n<li class=\"P15\">Receba a nota da prova4<\/li>\n<li class=\"P15\">Some todas as notas e divida o resultado por 4<\/li>\n<li class=\"P116\">Mostre o resultado da divis\u00e3o<\/li>\n<\/ul>\n<h1 class=\"P146\" style=\"text-align: center;\"><span class=\"T42\">Cap\u00edtulo<\/span> 3<\/h1>\n<h3 class=\"P55\">Diagrama de Bloco<\/h3>\n<p class=\"P17\">O diagrama de blocos \u00e9 uma forma padronizada e eficaz para representar os passos l\u00f3gicos de um determinado processamento. Com o diagrama podemos definir uma sequ\u00eancia de s\u00edmbolos, com significado bem definido, portanto, sua principal fun\u00e7\u00e3o \u00e9 a de facilitar a visualiza\u00e7\u00e3o dos passos de um processamento.<\/p>\n<h3 class=\"P53\">Simbologia<\/h3>\n<p class=\"P15\">Existem diversos s\u00edmbolos em um diagrama de bloco. No decorrer do curso Apresentaremos os mais utilizados. Veja no quadro abaixo alguns dos s\u00edmbolos que iremos utilizar:<\/p>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P40\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_42\" class=\"fr4\" style=\"height: 9.342cm; width: 13.31cm; padding: 0;\"><img decoding=\"async\" style=\"height: 9.342cm; width: 13.31cm;\" 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kw4OcQ2k8UIXcAQKhA7jXwzGxuLULw24XTn59DaL9gKObV95QmDfl9cYuplU30cVvmKqNWo0FJ+l5\/sSoTyloxHTRalF3pr+oYd6kZRRSfntNoqr8r4SprUePgS0pHi1y0Dh2+JKWR\/mYTbC58LsXrjmmQ\/VXEAoDl4XJnHfZa7owtePw87uYJVexMMa9quW9YJhtnK3L\/RIPOFxQlZ9Sf1Jh9o+yW3F0+ULd5J\/y8BIIFcl8AFgt3CfM7zUN4M9ptgCfPsdRDFTsDuS\/Zcr9xdlnuO5KXQLBA7kvAv7G+e\/euFH0oM7b3DRY5T5rjdA5p8lwZq8h9OkzpJDqkk\/RXmor\/Jv0zSvLPYv+oR2fNY3ntg4NDSlpvaCBbulpU8UNqJodqf\/yYusN31D3Vx8enlA7G8j5SQFFCT58mFMlrHVMz7YuryJ2O3KvvaURWNaTgyV1eN6K4+Qdq6TBGyTPqjS55J43SL8V3lhQnfUrt+7bfyu56V56XNMpeUjOO1HEiTq3zgYpHAZGegzf5vfO00s+jLp4FJgM6b5m0422Wfm74xjQ4b4tnyMeIuD96JP5eJG1V2kX3E7ovz\/2C\/kv6v+vrXqh0NfcW4X8v73lMj5r38+d52n1Hw+5jir3wMUvFFewl\/OzX4VbJnTHy4XBylzFa8puBW+p25WkXfoZYzKs1Y+658C9pmD6kKHpIaf9HaglpRScpDbncnfapcyw+667r6eicTuMGxa2eKLS1SGWhPqTppCfObdBRfELt7EK4gj+Lc5tdoRsjIJYrX+tKVyLuULP7QUtYC8ic59zTClMtZXIXceVKBwvdCZMvd93tLI\/9RJOsLSSlwjeT56X+Xsip87O4mxC9lNmsMuSg00SN6ZuKk077peLJcr0nwtamjIU4HeoKlAp7MXz6mYhY9jsnQr6LpK15nvdExUk8P4FbaXArimqfma+gw3d0LCpEnDf05+iUumMR3rWeKdgXuNxZh1sndwO33Fnu3FXPYWYh8QtWWPzYFts4vTjdOP04HfnzLlWWinl1wa7U6a+Unlitb9myFV8POnTstJKFLrqnoiLAhfZYyeC4QwNZQGs55PdyPysZfEGdwSe518hUitaSe\/E4fc9cMnWUyT2i405fi9cOkyd3XRFotDKxx2UmOd2CzePMVI9Fq\/QrxpmPVS3fVePpHlsbPjlpcJG0LZ47uy6Hp0zus2u5x7qf6+87L65gX1jXpbdW7jbcmmcpccuzTGLYyjdOL063UMfU57Gy3PPC1hahKaB1S9\/ZLBnk115E7nZhbu3P5f73Yle5QJ27yOz+MrnrVqukRu6jlBLTwvWYhf1dSXp697SojvO39N+Wjed0RNlrzqevqJN3b6vza8OXp8G7OWn771ba2PvM8WVyn12r+vOnNZ8p2Bc4z64D5A5uLcW8uqDcdffxUXykuueHdsvdbnHZ2KKc\/1kV5va1bqrlvqDc5bGBttx1z0qUtOiVqIS+zoZ0YR1bG75lW+5WPGbX5fCsKne03IECcgdgRVaTOxfqejx3LFp+LBFnzL1BcTNVk5\/MWK+UxypyN2O0Zqxaj+\/aEl5rfHYNuefpoIYl1ERD1ZNxmYtqyTF3J\/3MPAPR4ub7LxNPGQ+RdnKugz1JTwlzJtINjLnnz88VtF+JcffN+YwxdyCA3AFYkUq5i++LGxf4f3MlK1CtzarZ8vZs83qZ+59VYR9Tkojv+Fr2LHNPwtPRW2qbGeYs0rVmyy8qd97tzZbX93XFJYTee6Zno3vxKMGJS2G2fHU8Xbx7xk3qdJriufkT\/jh882bLV93Tf36eoPOKjDhPVO7+8i\/2Pv\/Y4ufF4wr2FX726wC5g1tLyHnVL+zBDWF1ywOwTSB3AFYEcr\/t6N6I6IQ6ff4BoumWt8e7AdgOkDsAKwK5g8LLbuImnWWj4nwAAG4YyB2AFUFeBQCECuQOwIogrwIAQmU35C5feKG7vQqbnrxSd4yczWtm6xb3R0mbzvU7uWcznt0XjEj060Fny3d6s4VlGMxPaCwKs4g1cvKNCIPzO15Gh9VcFwQJ5x0AAAiRdcunm5G7TdWbrWreeKUo+SkOM\/mZOvyTkVyw1s+ZPOmqny1xhaBO7rx\/9lMnSanc9YsljmKKI38CDuS+C0DuAIBQgdwFavKREaySexTHdOTMetXrUcvv58ldbGbRCaZU7uolFY3Wt\/StqFy4vQSQ+y4AuQMAQgVyF5TJvfH0OX1zfKRW0WJkl7z43PmDuE+d3GN6+qqTv21LCrtM7rJLnlv4I1lpcCoDkPtOALkDAEJlz+SuW83OZo6tkHtFt3yj9SP9wi11vYSm7JLn1bn6r+bKvZV9nC3rye8NL8hdd8nre6rufr0cpwRy3wXm5lUAANgS65ZPgcm95PscI3df\/hHFzZeU6WU3Z3LP6NIIffwP1SXPos8FXid3sc+szc3vc7705C4XprhjdcVbi3rIz5D7LjA3rwIAwJZYt3zaQbmblrt5d\/MxNdO+0LRhJvcr0xV\/\/oP6P7esF5W70LZZ9OLk2z\/SU0vus4l53iYrEqx7yH0XmJtXAQBgS6xbPu2w3JlL1X3uzG635O5MotPnLSx3Rq98JeVtwqauWfj5mxyDN13zkPsuALkDAELllstdoNdunk1os+VutbKNjJeSu0Avv5jLXS9LWfgNvdM1D7nvApA7ACBU9kzuVhe3s7HQPylh+nIXmLWk1drXrtxVi9qa+b6s3PPeARXmfGKe7H630ZPs5Kz9iQ5rMS55uMDW4ecBAAAhsm75dPNyByAQkFcBAKECuQOwIsirAIBQgdwBWBHkVQBAqAQpd2zYsGHDhg3bets6XIvcAdgFkFcBAKECuQOwIsirAIBQgdwBWJFiXlU\/o+TvnS1KqN0bee81AJVM\/krZQL2I+Xahf1qbpDTS3wCwKsXyaTkgd3BrKeZV7x0JEvOeA3\/NflCKfK9E3cuo9hnIHWwOyB2AFVlM7oLS9fxBKVUvqboVQO5gc0DuNfz000\/05MkTevDggQwXtu1snP78HN6+faufTBhw2FwWkLv8+5DuJ5+L1ryIH7\/W+GpE2VmTYh3fKGnTed4tPaXJIKWmfIWx2G938U9rzpv0KW0eq3PkvmfUkysfjmmQnubnONebDOi8lahwyW22qNJV1qKG+PyoeV\/vP6bT7jsaysWX3GOZ6ahHZ\/n9DylpvaGBfL2zFljcpOfmXiYMMm34eN50etXFscAljbKXTlq1zgcrhd+Fn8EbavHS0Hxs\/JCa\/LeRcE0Y5X2jzym5z+fymy5\/obF9LXm9U0rl8ZA72Byct9Zhb+X+4sULunv3rhTKYDDQ34JtwOnPz+Gzzz6jr776in7\/\/Xe9Z7sU82qZ3MfU75x4a\/tzgW7WMtCLC0Un1OmLAn46pO6pkKI5Xr\/+WL0a2Rw7W4a4cJ68rtmnX3Os1zfgdQv+l1wrwSxQZF\/vo\/rbhMtcT7+uWcnRC8fRMSXtnlCSfR0+Vy93nJxRX1xrOjqn07hBcYuP1QKTch0KbXrnOi13s68ibTzUOhCiItH5WdzFrPqoFoVaKvw+Mv1E+OW5QvT9M0oi8QylhPVCUKXPYTq7r4y7dS39WaWNqIzIa0HuYHNA7iWwSFjsHz9+1N+AUGC5p2mqP22XKrnz984mWqlnmW4dS7lbaxX4nxlr3FnJwV+vQKAF6lQk8pUF\/4ce5xet0c6fKJMtdkW+jkLzOb02YSrFrHVgy302b0B9nq3TYH9WkrXDrK8l5TlWArNWRXSuZct9Ttq4aMk6iy3NFmP6uET4fdQ+e86Euq6UcO1z+FByro91LcgdbJBi+bQceyl3DsNvv\/2mP4GQ4ApXCHmEKYajolveRgrLklPZGLNu3TdE6+63isWOzDEcBnfT1+Ku4tfPS7qouev6T9Qp6zKX56Si8vTK2q\/uPU+G9mf1twmPvfF+biW7AnOuZadHbdr4aWx6BEruK+71fonwu5StJmlJeM5zKLvudJTRa1FBTVPr+UDuYMNwvlqHvZM7S527f0G48PMJofJVzKsryF1+XrXlXrZ0cAn5WLovrzENztuU8L1e\/VkufRwlLXolxPM6G9JFoeU+O7\/us2q5V7VWiwJzrrVuy93qEbBZJvw+al9dy736OfjXVT0nXKH6o5D7d5SNhmi5g2sBcvfg8V3u+gXhws8nhHkQG5H7vHFlZ7zX\/lndhZJZPhnLjDHzvn9X14wfU1dPolPj\/l\/R\/3XeEseY8W4zfnyHmuf\/txSpGgu2J5ApqS0lRy28uJnqHgEdJyneOXJ35L3KmPtsYpwZ62fxXi4Tfp9FxtxLn0NVuql5ALPKlbhWRdoAsCqQuwfkHj77JXfBdES99myW+rzZ8mYGuOxGt2ZpuzPf3dnys3F\/b7Y8y\/CsJysOo94zJRp9fKfD17bHjheXoztb3p6tP0fuRuByZrloDdemjQ8POViz5XnIof1WxG1+eP3PLnZlh9Omfra8\/RwK13Xiw3MfvlFDIPZ8BMgdbADOi+sAuYMbJ1y5g9uBPQkOgDCB3D0g9\/CB3MGNIucBmJ\/YmW55by4AAIEBuXtA7uEDuYObxRobF898NpShdwMQIJC7B+QePpA7AADUA7l7QO7hA7kDAEA9kLsH5B4+kDsAANQDuXtA7uEDuQMAQD2QuwfkHj6QOwAA1AO5e0Du4QO5AwBAPZC7B+QePpA7AADUA7l7QO7hA7kDAEA9kLsH5B4+kDsAANQDuXtA7uEDuQMAQD2QuwfkHj6QOwAA1AO5e0Du4QO5AwBAPZC7B+QePpA7AADUA7l7QO7hA7kDAEA9kLsH5B4+kDsAANQDuXtA7uEDuQMAQD2QuwfkHj6QOwAA1AO5e0Du4ROu3N9TmjTk98UtplY20cdtmauMWo0GJel7\/cV6TEcZpa2EIhPXKKHW+YAWie1V1qLGwZeUjq70NyuwwfhsJDzMomHa8LNw+UDd5h06iNuUTab6O3Bb4H+L6wC5gxsneLknKY30N0GyQaFMR+d0GjcobqY0kAK5pFHvGSXRIZ2kv9I8pdx6uV8n4y41Gw8pHV7qL8BtAnL3gNzDB3Jfk42JR7cMjzs0cCz+iQadL0QL\/pS643q9Q+4AXA+QuwfkHj67LPfpMKWTvFU7pUn\/zGnlTkc9Omsey2sfHBxS0nqjW8QTyloxHcQPqZkcqv3xY+oO31H3VB8fn1I6GMv7SElFCT19arrLj6mZ9lVXuSee6nsa2VUMKcjrRHTc6c9poY9pcN4W8eTr8xblLf2CTCd9Su2wtN\/SSFy8cJwdhyXiU2AyoPN8SOGYHjXvi7\/1faYjys6aFMt9BxQlbTrX6VvEjqOI36NH4u8FwuSEXeSHQUrNOJodp+PvYvJCk56bsItn3e6N5HMopNUopcQ8Q\/3MVPh0WE\/PaTjkHhi+7+zZSGrSQOWxzym5z\/lR54PK4xeNG9gUnM7rALmDGyd4ucvCy9ty4V\/SMH1IUfSQ0v6P1BKFXXSS0pALuWmfOsfic3JGfVG45l3erZ4oznWBLgR02h3SdNIT5zboKD6hdnYhynv+LM5tdoVmTAHPhStf60pXIu5Qs\/vBFYo5z7mnFaY6bGlUIgr1rC0K+3viOBFO7rbvPhaf1f1dEZkxYlFpGX3S56kwLyz3peJzIdL0nr7fpTj3Z+rIihPfZ6J7H06o0xcpOh2qSlTp+LWJo3424gn0OydCuguE6dIKu3n+8hmaa+pn5uDlBRMP3VMyX+4iP3ppHCfPRLxEPnHuaXpgytNA3UdUBmT+ZEw4vOM5r7\/\/7wvGDWwKLnfWAXIHN84ut9wl018pPbFa3ywW\/nrQoWNHlkIT3VNREeBCe6wK9LwLXBfw+b3cz6rg\/YI6g09yrxGnLFwtGRaP0\/e05VDFQnIvgceCdavWEZEWT6OVkX\/ngrAq5L5UfKRMG1bPg3XsUIheyMgJiwx3mZC0BO3hiUIcK8L0\/p9n8TD5QrTIO6+zmlatftbW\/ez0KaRVScs9j7Odjv5nXdmoSoNCvPxrMyYdXv15wbiBTQG5e0Du4bPzcs8Ld7cgVIWl1drPNy6ouVVULfNyuVsFvL0\/L8D\/Lsr9L\/X1Z+JT5y4g7bLC3DAZUDf9QXfvitZ69h2laUppx3TZKoE44ZQSskRjUYiPLaFV42NfQ5Pf5\/2fxT7\/OczC7eI\/C0F+7Xf1Yer96ISBf3nwOk+jqqGA4v3s9CmkVUHuVhzqPsu\/\/fjzpvaX38e6FqOvwRWEy4XiBjYFp\/E67KXcHzx4oD+BEOHns9Nyz7vUj1T3vJ7NrFrudgvPpl7m\/mdV8NrXuoaWu+mGLUyo00MP8rpjPQyRUOuVkDu32i420HK3WsbqvBXiM7flbu+rY0Mtdwceo35DLR4mKOSn5eTu9AhZaSWp+1xIH5fCM5HnVrTcnfjVxQ1sCsi9BA7D77\/\/rj+BkODnEkIeYVaTuxnnbVM2fie7Kt0xd+tnZWbMUkpjFbmryVKjqRnn1uPedgG+zpi7QE0QtCdhmZ\/CmbFYHS4zVp1PYFMSuHQEYdJGDVWYa\/NxV1JQZuKhN6a9cny0lM1ExLIx93ySoklDW9IzlEDNpMUVx9x1pU89M3FRHR4zj2JGvdxVWHRamTy0itz99PHSoCD3ujH3wdsF4wY2BeRewtdff43We6Dws3ny5In+tF0q5S6+L25cYP7NlazAKYj5szOrmrsun1FPjsmvIveYkkR8x9eyXyzjFejT0VtqS6nxPd3Z5eY6dV30fpjlvdLZuKp7fSHAzjdy1jQX7B99Qfiz5fOwjGmQnuouXfH908ez2ehLxKfAdES99mKz5e0Z6UVMpYaPFRWbwmz5ijA5YecWrT2jnCtNLynTczJm1Mu9kFbNh+LvVeQuqEmDotwFTnrWzZavihvYFJzO67CXcmdY7rx9\/PhRfwO2CT8Hlvrdu3eDeSah5NUySgteAMCtAXKv4cWLF1ImHCaexIVtOxunPz8HbrWHNFwCuQMAQgVyXwAWCk\/gwradLdT5D5A7ACBUIHcAVgR5FQAQKpA7ACuCvAoACBXIHYAVQV4FAIQK5A7AiiCvAgBCBXIHYEWQVwEAoQK5A7AiyKsAgFCB3AFYEeRVAECoQO4ArAjyKgAgVCB3AFYEeRUAECqQOwArgrwKAAgVyB2AFUFeBQCECuQOwIogrwIAQgVyB2BFkFcBAKECuQOwIsirAIBQgdwBWBHkVQBAqEDuAKwI8ioAIFQgdwBWBHkVABAqkDsAK4K8CgAIlR2R+xWN0i\/lPnc7pKT9lkbTumMOKEradD4YyyspLmmUpdRKDq1jWpRmI5KXspiOMkpbCUXmelFCrfMBTfR+cVNKzD5\/a7Qou1KHTUc9Omsez\/b515FheknNOMqPKYZbM+5SMxLHHHdo4AT4PaVJQ5wb0XGn78Zl2qfOMV87plbGd61OL94arUwcoa8Xtymb2FebUNaK6SBJaZTfs\/w66hhFaVqmmX5+uwfHAQAAQmTd8ulm5W7JkpkOUzqJjMiMrL6kdGQdNPmZOizxXIRCot3HFB8cU\/Osp8UypsF5m5LokE7SX3MpTkfndBo3KG6mNJByE+f2nrnHSbk3KEnf86dypFjrrzMddOiYw5T2lfCnI+q1hQijh5QOL\/kbzVS4\/ZSio5ji6AvqDD7p7xlLtJ741fVZqr7cvfRymFUW4lbPqojYcrfRxxe+5+iYtHxJ2YjjM6XJ4I2sYEUnKQ2tsO4KkDsAIFR2Wu6uZKpldZW1qHGgRTjpUSu+40hccUnD9KEl0w\/Ubd4paR1\/okHnC9HqPKXuWOxYRO7yGCNVg76+HXY\/frKF7l9bnddofUvfCjG6LXQl1yiO6cjEV6LCrL5fRe5cKbgnzrvQ3y8r9wtx\/L1SiasKmlup2hUgdwBAqNw6uau\/K4Rmy\/Qqo1ajpHvbZxG5y+uK1m\/eavXRrXGnN6ECeS0W7UhVMpwucyXXxtPn9M3xETW7H9TXsudAfO78wapkLC73xtM\/0rcndu\/HknKXaVmVRnYlZ7eA3AEAobLDcp\/SpH9mdW1XyMrplq+qJBi0zHi8ubS1XYI8To8hO5stM9MNb\/YJiXde0Wt7jN90w5vz4yZ10u+8yoCuBGjJqq72OzOJ5+H\/kX7hlnqzSzxiL4\/jnob+qxK5mzDZm0nDWXpcOi3sJeVem5bznkm4cFoBAECIrFs+3azcc\/mYzW7pVh1jt5ivS+5zWu45PGnuO0rT53ri3CElnZ+FKi2E5LPXKaWdJsUc\/uiEOn09qW76K6Und6zeBNXqNRJ3ZGyEPv6H6pLnY5w4mfRaoOUuJ9eZ4QgetvgIuQs4fwEAQIisWz7drNxrBeDLypo4ZyapCTbSLT8ZUDf9QU2OW0ruNmocOh+7L0POD4jcFrissHhbfg1LxqYr\/vwH9X9u3a8ld4EJz0mHXj1Ft3x5XgUAgO2zbvkUsNwZPUnOngwmBdUokbY\/oU7LtzChzlxTT1ibK3dvAl6O7mLn7\/\/XL\/JnarMWuMFumevr+OGRFRLTNV9saatJdDpN1pU7d8hnbdWjwNuicq9MS3FFTKgDAICNs+dyF8iu7ENr4pkRlN2lX\/FTOP1Tu+JP2Kyfhi3Qci9eR3w3ekvt5I6+jqkw2L0M5l66YqJ\/TleslNgVAFfGeUvfSHVtuTNa1EvJXaArVfgpHAAAXD\/7L3dBLtfTcy3zmVikpMRW\/RKbkpfP2C9ekcLU+wqbCQvfr0sd+zpyUl03l72sYHQ7zkts5KS6rnrRTT4prtCFb2bac0\/Cv7ky1rP08wpBqdxNeLxNCrpM7uKOMj3NMTY1cmcmAzrHS2wAAODaWbd8uiG5AxAeyKsAgFCB3AFYEeRVAECoQO4ArAjyKgAgVIKUOzZs2LBhw4ZtvW0drkXuAOwCyKsAgFCB3AFYEeRVAECoQO4ArEgxr+p37q\/4Kl377Ym1b1LcCmMaZH\/V72BYk9o3Fi5D1RoHy7N6em8uDIuzwWdRin5rpLMo1aqsmD61PzFeL+\/s1rNeHU6rdYDcwa2lmFc3J\/ew2PArgiH3NbiB1zXz+zEa1poWa7GB9FngRWHLALkvBuQOluL333+nwWAgt++\/\/57SNKUXL17QV199JTf+e1e4PXKf83KiZYHc12DDz+Lagdy3BeQONsI8ad+9e1c+W94ePHggv3vy5Ik8jreffvpJnsff7wpz5a4XH4qbf8jfhhglz6hnlvF13th3TI+a98XfqtBxCyB+w2E6e3thlFC7p9+m6L\/1z1soyYFXHDzTqw2KLUradD5QrTN1P3Hu86d6aeJDStpvaTTVcTLXFwXbez42+pyS+xwn\/QbE2nCY1zvz9yI9Hj0Sf5vC2t6n91uvaXbx3iwZP6Qm\/20K25r4FahJ+\/ow1YfBfaOlSMPWG+s86xnm6St2Fai6\/3iBZ\/ELjb23bx7Ep5RyOsg3Vuo1MSTuEtLyldfZSyeftc7VGzJlmNLT2boSdh502OAzMlTKvS68gkmfUvtZ6PQu\/tuqSK\/riMsNwmFaB8h9z9mEtPnc3377TV+xGj5u\/+TOhcJj6rLQnVX+9Dv6830\/U0cWIiVy168RVq9PtlcT5KV3+Rp6bHQ6pO4pF2am4LIxCxjp7lZzrD5X3c\/cQxRqcv0Fd0EiU6jlx5r1FfK4lIXjMl\/L4bQ7ZJ1Qv3MiRMqF9d\/1PrOwk1nJsaKVZtYnMGHsnykBynDVx8+lLu1NeCvCVBcG83yTM+qLe05H53TKn3nthCteG8I8ez99bcy+qjSZ8yxM+PRnEwZ1PHfpH1nrU7ifzSJOahlqEzcVDrVOhQmvnQe9tK19RuY87xnli3VVUCF3FSYTXpNOJt3MvAF+xp+c9Hb+bdWl13XE5QaB3G8pNyntRdlPudvLBlvdeoWFgMwaAarQsQsg9XfVevg27jUc5P0id50Aa0VBdQ+rVed0nZcJxW4B+tjhmBRXM5T3rRB4zT5VmNv3tcaf58TPYU7aF7DCVBcG2Yp29lnXHf5NL2DVpM7rJddTcNJk2WdhpZH4JMOvKzxS5g0jaL3WhCNsdS5XSC7yxa+e0+uSNTgMtc+o8O9BUJcXDKVy15U5ZwhsFt6xrlj762Iw9r+tIrPwDq8jLjcI5L5nhCjtRdlPudv\/2C25F\/a5hc7s70+q0K0qjLhr8DU\/u1fWwkQlx+rCzjz72abCUCjwnPCVCcW7R2U4uIWj46wPda\/NXavfqfzXMV2cbroYivf109OOl9lKrjUn7evCVB2Gb+m\/lTwndbyqmE1HGb3Or1fXjVuXJvOfhbyP\/Pf8fNZlbdJfVmyORIXnvVoSWvYkMDoeOmzOJs\/lMP3Jerb2kMOM2mdUJmn93MoknFMq9znhrezKL4axKr1UZW3DcblBOB7rALnfELss7UW5VXLfRMtdL2fMKxq+Es\/4dTaki9qWe9mSwYpCoeyEfY5QasNR13L\/N7XUMY+VvhL5lFu0F9Wtn\/kt9+r4OdSm\/T9qw7Ryy915HtPZWK5O0xl6+efKNKl\/FnnXeuuP4t\/9d5SNhrM0kkeo6zeSR\/QoZsmbXo2ylnAVZk5A8TndeMvdzlc2NaK106wuvdBy3zC3Te63QdqLcqvkbgonM3mnbszdGfsza\/+LQucv\/yQLGDVeaAnDKZAM3v24JSbHKNWx9XK3CjW5q+zY6nCoAt9MsLPH3H9R6WHGxfNJbl6hadBSVpPLrsrH3Cvi51KX9rqnoSpMdWGQz6lizH1sP0MRBH3PWcvZoPNIZZrUPwv12Yw7WxPzCpUr8Z03H8EdcxefZfhFmFt\/pn+XY9Zm3oQZf64e8ih\/Rtcx5j6buGnCq9JJ30vPq1BxU2l4aaVZbXrJeRIbjssNArlfE5D28twuuQumI+q1y2dsu4U2C9OdLa9mBQuB9Z6pAoe\/5\/Fc2Y1bUugy3uxee8ZzubBN2I0oxTmi0PvLv3jHzg2HvV9UAqzZ8tPRW2pLsfI+UVB3vpHxLEpP4Rw\/Z\/Zy9YxuQU3azwtTXRjcc+2ua+8Zcjo0X4qWYlEE9fef8yycePE9vlFd6YWxdHtinUFc25597szo92bLc7jOenqfy7xnNAvfhmfLO+EV+LPl9bNw8vqc9Np4XG4QDtM63Dq5Q9rXx+7LHQAAwgBy92B5Q9rbAXIHAIDNALl7sGA+++wzSHsLQO4AALAZIHePXRPMPgG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37QG5AwDAZoDcPSD37bH7cn9PadKQ3xe3mFrZRB+3Za4yajUalKTv9RerUh7fKGnT+WCsj+Hbtahx8CWloyv9TQWFcE1pMvhXGkym+nOATP5KmRXXldnYMwmNC8pa96jRymjO0wcbhv8trgPkDjbG3sg9SWmkvwmSDcvdKbinI+q1E4qiE+r015HelMbdU4oWqRRsi3GXmtGGhLyXch9Tv3MinuEB5L4FIHcPyH17QO43xHXKnZn+SunJIUXNrijeV+WKRumXIo0DlvsopeQAci9F5oGYTtIf6FVZHgHXDuTuAblvj9sg9+kwpZPoUBR6v4q26ZQm\/TNK8s\/c8O3RWfNYXvvg4JCS1hvdLT2hrBXTQfyQmsmh2h8\/pu7wHXVP9fHxKaW6i1h2hUcJPX0qWtHyWsfUTPviKnKnI5Lqe+rrVA4pVMjdiLnRokzscLvlxzQ4b4s4870iih89En\/rsFjhUufwMbypc+vC6cLd+W+oZdKJNyttHOQ9RTiaf8iPj5Jn1Btdqv3TEWVnTYr1dfIhB3mevnYueDtuvPF104ow1qTD0uEXafH08exa+T1VnonuJ3Rf7vuCOuIao+wlNeNIXVfkkdb5QBype0qOOzTIg\/uBus0jOu70Zd4UgaLzlslPvFl5yofT7Qe+blUeAdcNP6N1gNzBxtgbueeFn7Xlwr+kYfqQoughpf0fqSUK2egkpSGXntM+dY7F5+SM+qJwno7O6TRuUNzqiUJSy10UqKfdIU0nPXFug47iE2pnF6Lg5c\/iXN1aNnJU17rSlYg71Ox+cCSan+fc0wpTLdUFty302d+XNMnaQpQ6DiKkqtu2KHfxwW2516aNh04bs8\/EqbTSZSTNFSUWupOOarz4wAwxTIeqIsXPbiiOdVruQsgybvdERUg8D\/GcR93H4rPZb2OOrUiHVcJvwjj5mTqiUqDCb\/KMCZO5r6gMdH4We00YdeVSDjNwBeCTurbzWadF3KaMKw4mLfJKWxWQ+7bgcmcdIHewMW5Dy12iu62l9I1U+OtBh46dVrJuTUWn1B2PVUGdt6x0wZ3fy\/2shGoV1LIVdkcV+pZEi8ctM9a9rNxZEHYcBPa4dY3c69NmXi1Exb1ajtGsdWqnY2GfwA7vvG75yjH5TzTofFGdDgWWCf8CeabQOjfX5nDd15UKVQltVA6tLJpPIPdtAbl7QO7b49bIPS8YXXEoCeqWvrNZYsyvvYjc7YLXlxaL5O9u61ijzl1kdn9VwV3VLf+umD620O2\/PbnXp01RG9NRRq\/TlNL0+awL2r6vwbknY6VTmbzl8XqCWGG\/aAln34l7ivt2TFe+d77Ef3YCLxyrh5+\/Munt55my\/KnDop+VrERxxeDiF+ocH6meHgN3tb\/mML2iTj48Up7+MyD3bcHPZx0gd7Axbo3cdbfrUXykuue5i1egWqd2K9rGF0L9Z1XAb6nl7k2oK8hm5ZZ7Vdq4mHkNSeuPQkTfUTYazmn52nK00lHuW7TlboZbEmq9EgJ8ndHoYrWW+\/Lhn9Ny9\/NIZctdoCfCJc2HFNu9IuaZJi16JSodr7MhXaDlHjSQuwfkvj1uh9ytscuxaMlygemMuTdmE6LMuKYsjFeRe0Tx6TmNpmZsVY+92kLb9Jh7\/lO4WaVlJvdlxty9SkZt2sjb5Kj7mXFma+JaybHuPRk7HfWzqhpzd7rS9XlmTDqffOZVDjSqsmImpLnpsHz4xT49vOPORfDzyJwxd32M6VVy5jPoSoT6zp7wN6\/CBblvC8jdA3LfHnsjd\/F9ceOC+2+uZAWqkK+aLW\/P3K6Xuf9ZCUK0wBLxHV8rnxUtdzpCm47eUjufmc0txuVmy5uwmq3+JTaLzZZn8olkWiDVaeNhKhjyOJ49\/o3qRi4bn6+Vu8C5lhe3fFKZEviVk45C3J1vZJe66cFwEWLtPStPh6XDL45J7ot8xcfbz8\/PI4x9X7HZ+cIgKy2+tL3z4iZ15NCDnqRZCeS+Lfg5rQPkDjbG7ss9HFyhBozT+gVLU6icAKCA3D0g9+0BuW+OMOWux9Hzt9eZ7ujFxtJBCZA7qABy94DctwfkvjmCbbn7L0KJm3SWjfR4L1gayB1UALl7QO7bA3IHAIDNALl7QO7bA3IHAIDNALl7QO7bA3IHAIDNALl7QO7bA3IHAIDNALl7QO7bA3IHAIDNALl7QO7bA3IHAIDNALl7sGAePHgg\/4\/tZrfvv\/8ecgcAgA0AuXt8\/PhRCgbbdjZeUWtXgNwBAKECuQOwIsirAIBQgdwBWBHkVQBAqEDuAKwI8ioAIFQgdwBWBHkVABAqkDsAK4K8CgAIFcgdgBVBXgUAhArkDsCKIK8CAEIFcgdgRZBXAQChArkDsCLIqwCAUNkRuV\/RKP1S7ivbGq1MHGGOuUet7EKfp7jKWtQ4+JLS0TtKk0bh\/HxLUhrR+4pjDilpvaHBZKqvqhl3qRmJ\/ccdGji7KsIcJdQ6H9BEHzXjA3Wbd8QxX1Bn8El\/d10sGLZRSol\/jNkaLcqu9HEbpTz9o6RN54OxPsZiI+l\/SaMspVZymB8XJS1KsxF5T9uBjwMAgBBZt3y6YbmzoKuMYhXmcZsyS8IzudvnaolIoduUfT+lSf+Mkiii407fKvCnwi2nFB3FFEe+lHV4HAkKifSeieuIikLnZ1cwUlJ3KI4PvXtcBwuGTcq9QUn6Xh5xM6j0VxU2zXREvXZCUXRCnb4t+E2kv\/iu+5jig2NqnvVoJBN+TIPztjzuJP218llA7gCAUNlPuR9EFLd6uTzXlzszoawVey1E1dputL6lb0Wrz5VymVyYSxqmD4WoTqk7NkdrSTX+N0q\/FecUWqGbZsGwhSJ3ZvorpSeHFDW7Qr2GDaT\/pEet+E6JxM1xDykdXurvXCB3AECo7J\/cG4\/p1beiULa6t69N7rK1zcMAIxp0vvB6DKrkIpDSjMV5pvrBkjqSFZLxoEPHJUMLm2XBsIUk97IwbyD9y\/OGRl6\/Ov6QOwAgVHZM7nrc1NlMwWwV5pe6lXeS0lCU9dfTLa9b21r2UynlO9TsfpB7a+VylVGrYUlDSkRXRqZ96hxHXgt10ywYNinBsjS\/TuFXyd1\/jptI\/79XHyOpDgvDaQEAACGybvl0w3KvaGFJ3MJcFfZqzPRyFbnnIjObPSYrkN3EdyzZqy7imZQXlbvu\/s17BLS0nG77TbOM3K9T5GUsKPeNpD\/kDgDYT9Ytn4KVO9EFZa17dBA9pG9fPV695T4dUvf0mA7iU0qt2dqq8uBXAMSWS7lGLnbXt26pF67jtEI3zYJhC0rubpg3lf7olgcA7CPrlk8By10gJ0sZca4od0ZP5pqN6X5SY7z+xDcpAyPlKrm4E7qUpPyZ3n4rdNMsFjYlwUDk7kyo21z6qzzS8CbjMZhQBwDYXfZb7qK4nmRtiteVu2A6TOkk0rPwZWu7TAi2lMvCM\/splpqdXSEpsed6u+YXCZsgFLnnP4XTot1Y+jMmj+CncACA\/WHH5G51v9qbFHFZYS4wre415Z635IQE\/sOL\/4OOS8WrpSxb4pPyMNsvUZGSOirvfpetUP939ZuiIj2XeYlNbUVrHXT6e\/ezX2Ijezs2kf45QvCDN3iJDQBgb1i3fLohuQMQHsirAIBQgdwBWBHkVQBAqEDuAKwI8ioAIFQgdwBWBHkVABAqkDsAK4K8CgAIlR2RuzW7u\/CzMf1zMrGv8NtoOeO87BxzvbrlYcWVrJedODhvmLOovF\/Jz7vAzgO5AwBCZffk7r\/wxXrDmytP\/bOouuVA+Xp1y8MuJfe6+0Hu+8i6\/3gAAOC6WLd8ulm5R0cUH7kvL1G\/eebvI0+e6oUmtcuBstzrloddSu5194Pc9xHIHQAQKrsl98Z\/pM43X1ivZVVd8lHzG3ruy1N2kc9bDnTO8rDLyL32fpD7PgK5AwBCZcfk3qLeL9bbyfI3vGWePHUXuR77Vu9vr1gOtG552IXlPu9+kPs+ArkDAEJl5+SeXc5e2Tp7DakQtC3PJZcDVTIuWR52UbnPvR\/kvo9A7gCAUNk9uV+Zrvg\/UU\/+nwXqylPJmsfTvS1\/H7kr98rlYaXcS5ZelV3wM7nPvx\/kvo\/wMwYAgBBZt3zagty1TOUkukMtWFueKy4HWrY8rGyhFxdvUTI3LfpF7ge57yOQOwAgVHZS7rOfv5mJcJY8V14OtGx5WC3u6IQ6fb2y+qRPafN4NmFuoftB7vsI5A4ACJXdlLsW56y1PJPnpWzVL7gcqCN3QdnysNMRZWdNLX3eIoqbLykbXardC93v32T41Pn2VjKeD3YGfoYAABAi65ZPNyR3AMIDeRUAECqQOwArgrwKAAgVyB2AFUFeBQCESpByx4YNGzZs2LCtt63DtcgdgF0AeRUAECqQOwArgrwKAAgVyB2AFSnmVfWTTP65ZOG9B\/m7GTbx88cxDbK\/5isZrs6EslZMB0lKI\/1NNeKe6an3HojwmA5TOolEGOPH1O1\/R83C8su3Cf\/5Tmky+FcaWEtcL0zpSpggZCB3AFakWu5CLt4bC2evKF5X7vodDwsJeYNUvK0xLJTMouZ31O89o0RI3iwIdTux5W7eu7FixQxy3zkgdwBWpEruURzTkbWMcL40sfx+XbnrCsRW5I7Cfbew5a5fBAa53xogdwBWpErujafP6Ru9cqHELE3c+YO7yqD39sMoadP5wHvNcb7vGfVGH1Vhrb\/jQvs9r2IYfU7JfX6zIresf6Hx4A21Ev6sj4tPKTXXdbALf\/133KTnrUS08MR5UULtnmjzyYJdX0ts6jXKlzTKXlLTrMcgjm2dD8RVBPL4Q7qffK6uc\/yfKf1PfO2H1DTh4m7z4Tvqnuo4OmHk7uOaOIh067V1GA+O6bQ71L0J\/nnH1Dzr0Ui33KejHp3laXpISeuN7qLm89JZXHhf+21+nsu8eNsCtNPXo5BGHRpcLZsfLufcc\/a3zCf63FzwkwGdm2ctN5FeaV\/FhYdhztuy90O+lfPRI\/G3uU9NGjjDN2qfzENyH7hJOP3XAXIHt5ZiXtVyb\/1Iv+QrFgp1mFcU919ZcjcrEep1C6ZDJbroIaVDUUDKNQ30a431okb2OgVGGFey0BaFb6unCld5bCP\/PB2d0ykXwmWCsQr\/XAS5LE34dBgciZh1GIQEOz+LM0Vh330sP\/OyyXllwKy\/4F9bh\/EoPqF2duHFjw+vi8MlDdOHFMl0mui\/7XQS552eCzGLMPbPhJD0UIKe8xAlZ9QXYVLX1Pcw++T9TdxKVoNcKN7LyN1OI28dC5Mf5P5\/VOeHBeVebLnr55uvkaHvJ\/df6niavDCmfudEVAL4Pn+vTYMrOfxk0s7LQ+BGgdwBWJFqudtrHKiCWRbEcglhLXdZKHtj2PlSwn9T0uKWVOdP+ToGijK5100aqxujLxGBNVdAXVvLwJFI8VjnPoW4+cfb9y377GPHQcU\/rwjklI0pz1Zs7PdZOvaQiD6en9HFO7WmRNykzuusosXOLBLvZeRupZGuYDiLS+UrS\/6P6vxQe0\/773nd8nb6TfJ0y+OZ581fatNgKCc08vobz+l1hhb7NoHcb5jvv\/+evvrqq73fvv76a\/rpp590rPeTOrmr1QmPqHn+g\/o\/t2Rsucu\/7UJZIAtq3e3NXfavn5d0fZbJ3S2wp6OMXqcppal1fplgKkWgqJa7GwaFPp8XY\/o0T3LzPtfFwUpjfayibKXH2Xd\/\/jPHRVyjsKn4yft1KrrEc9aNt4UvZf3si+HTx1Tlh3XkLq\/JafyKOnmXP+\/nFrcX7vw+\/299Glxxl\/2frOvZwx\/gJuH0XwfIfQk+fvwo48fSGwwGe729ePGCPvvsM7p7964oPFL6\/fffdSrsD8W8aovHnkSnC9SFW+6moNbkY6N8HdHKtApXX+7qp2BcoP5RpPt3opU3XK7lbh23Xsu9SjjzP9fHQaXxai33RX4Wx+Pvetw+D59h2XjbPQ4e\/rGyMli2dHQJdn54\/88197TT1ZO7XgEzSlr0Svz7fJ0N6WIDLXc3nmbc3g4fuCkg9xuEW7QsutsEi57jzZLnXot9ol7uovw0P38zBaEt99ox9\/+p9vGkM9kFq8c8ZTf\/\/3QKUl\/u6vM9cY8LeV4+KcopjA124e8Lt07u644913+uj4M95v5Jh0NLu2LMfTauLvY1U9WKNOnN1xzb53FwfqaOkHtZBaI23mbsXv78ztxfhNtK05xCGumKSD5x0Fyb4\/bvIn0q8sPFX2ruaaerV\/mR9zdzNcR5+URElZYq75oJdouOub+jsdxnxupNeMrmL4DrBnK\/Ibi1zi3ZfWzBLgJLnuP\/5MmTvUmDeXJXrR2rde7IXeDM+q6fHc3jwWdyDNMUpuI7Iaa\/\/Isrd\/eaPPb5jeoiLZ3UZBf+vnDr5M6IcOjfksvwLTVrfM7neXFw9tszvG1J6X2Vs+WtGefyPHu2PN\/zpTfXwVATb+86UfKYnpb2AAgKaSTgbnJrtrwz07wyP9Td003XfGKiFPjYjQfPN5DDEkbEdjxFeviz5SvTwJst7z0DcHNw+q8D5L4ALDMW276PQc+D04HlzmnBQxS7zj7m1Z2BK06H9vg6AMAGcr8BuCueu6aBgifbPXjwQH\/aXSD3baK7mUuHGwAAkPs1YybR7UNLdZOw3HnS3S4DuW8J2aXNXb5m3BcA4AO5XzO3cRLdInBlhyfZ7XKlB3IHAIQK5H6N3PZJdPPg7nnedhXIHQAQKpD7NYFJdPMxrfddrfxA7gCAUIHcrwlMolsMTqO3b9\/qT7sF5A4ACBXI\/RrAJLrFYbHvaiUIcgcAhArkfg1gEt3icJc8P\/Nd7JqH3AEAoQK5bxhMolse\/lncLs5NgNwBAKECuW8QTKJbDe7l2MVZ85A7ACBUIPcNgkl0q\/Hbb7\/JStGuAbkDAEIFct8QmES3HruYdpA7ACBUIPcNgUl068Hpt2vDGZA7ACBUIPcNgEl068MVo12rHEHuAIBQgdzXBJPoNgOn367NV4DcAQChArmvCSbRbQYzZ2GXgNwBAKECua8BJtFtFu4B4ZnzuwLkDgAIFch9DTCJbrM8efJkp94zD7kDAEIFcl8RTKLbPFxR2qWX2UDuAIBQgdxXBK32zTMYDHZq\/gLkDgAIFch9RVhEu7wWeYhwZenFixf6U\/gU8+p7SpOG\/L64xdTKJvq4LXOVUavRoCR9r79YFRPfiI47fZrqbyXTPnWOo83Ee\/JXygZj\/WG\/uMpa1Dj4ktLRlfpi1bhu7JlOKGvFdJCkNNLfXC+buV8hHYEsd9bh1sqd4THiXZJR6Oz+mLuW3Y0VjCuycbmLystxhwaW3aeDDh1volIz7lIz2kRYw8SR0jpxhdwhdw\/IfQ14ljy33ndphnfI7FpaQu4qvlEc09HBF9QZfNLff6JB5wv9\/ZpyH6WUHNwSua8TV8gdcveA3NcEv3PfDKaitEusIvfpMKWT6JBO0l9pKv6b9M8oyT+L\/aMenTWP5bUPDg4pab2hwYT36EIwfkjN5FDtjx9Td\/iOuqf6+PiUUt2lKwu7KKGnTxOK5LWOqZn2xVXkTkcE1fc0hWaVoFV8G0+f0zfHR9TsflBfyy558bnzByGr2bnV9xHpMEipGXM3vt7XfkujSw4nf+ZNhVfF63NK7nMaqOGAq5rw+9TF1UWld3Q\/ofsRH8uVlzGNspezcIr0bZ0PVJrSmAbpKcXyumpfuzfimBXkZYso\/\/v9PxfiKhKFzlvm+fFmPUO+33lb5B3+PqL40SPx92LP1IXT\/g218jyl85cJ73RE2Vkzj1eUtOm8ctjAe455Gggq4+KnT9U1FkxHKffLmud0e+C4r8OtlzvDs+Z3qTs5RPbjDXVWN7W\/5YXSJQ3ThxRFDynt\/0gtUQBFJykNpePUOHWUnFFfFMTT0Tmdxg2KW71ZISgKxdPukKaTnji3QUfxCbWzC1F48mdxbrMrin1T8HFhzNe60pWIO0rAttzNec49rTDVouXe+pF+4Za6vrfsko9Oqdt\/NZN73X2udLzl+aIYz9pCJjqsXmtWxUvITKYJ36wuzTyWiqtJ73si\/CJ9BWqoQYiy87PYKwTSfSzCqfarfTrMdCHOvSekItJgPF5cSk5c9TXiNmUirKJWqCtxfOylTiOdF0Sq9TsnQpwrPFN5rEiv03MaTUXay3xi8quJxwl1+uLJmjBw3h1e6gtYyGEF8Wzktew0+FgTFz7OSp\/KayyajiZt\/Oc0q0DfFrjcWQfIXYDJdevDcxd27dcHxbw6v+Uumf5K6YnV+hYFkvxaCsJuJYtiu3sqKgJW4ZaPbfstGfezKuzsrvIP1G3eUQK15F48Tt\/TCKcWI\/eMLo3Qx\/9QXfJ8HykrFZ\/a+wz\/ptIjblLndSYKdX0IUyr32XXq08wtypeLq07PPL3VUMNBo0VZfugsTS9kj4yQUvM5vc50a1XiP6dF5e5jh3WiwmLPc7DG65eJp0o\/+1gVJxlemU+8yZI18wLUfe1nUYUdHlfu1ddYNB319Zw5IFac9De3Ach9Q2By3Xpwq33X3s+\/stzzws0tOFUBZbX2861YCC4md7swt\/bncv+78MmX+vqzQr+6gPWZyf3KdMWf\/6D+n7e6+ToXc+8zHWX0ulPS\/Vsq99l16tPMFtnVknGtSN+ye8ljuCv4T9QpdIWv2nIXcJf4a15Q6ZV1XT7WzwuC\/Jm+Wyqezv0lVrzLKhvyPgfqmeuvFOXpm7NQXOqu4T8PN+yzv9+V\/BvU5zoVs\/2H03gdIHcNJtetBz\/3Xev5KObVBeWuu0KP4iPVPa+7OIutKJsK2VR8VoVdsUV2XS33K2cSnT43l\/uclrtzHx5z1WPAHJc5cq9PM5fl4uqnr265e78KKMeMh3O4+9513Hs68bHjqnt3oqRFr9KUXmdDusjP27GWe21cVm25V6UjWu4GyH2DYHLdanCFiOct7BqryZ0LHz3+OBatDC70nDH3BsXNVE1+MmOTsqBaRe5m7NIdHxY7c7kvNw7tY8vdiEK0yEzBasm99j5je9xXnDf5mTpC7rIi4slkVohrSdWmmTokZ6m4+ulr4jeb1KbObwj5\/UJjZwzcjF3zGPxQidhU4nTcTOvUiY8dVy1WNXfAqvBoEbthWWPM3Uk\/MzfD9EbovLromLuutJo8J+eWcHj\/8k81cfngpnPVNQYXC6YjxtwNkPuGweS65eHhjF0c0qiUOwuusHHB+zdXsgJVSFfNlufu6WfUk2Pyq8g9piQR3\/G17BnDttwF09FbasuCku\/pzqw21ym2pBhX7kpOVkvPlrug+j5c4Nuz5Xns+iVlHO988pW67qUvd0F1mhWpi6tLUe6FWdh8Ps\/ql6d7s+VZvGc9XVnpU2rCJ56D+gVDidyduP53GvaeKdHyeTwfQQ5bmEl7Iiz5fpFehdnyi8bTO7ZktnyvPZvlvuxseZXn7LDyPey4\/Oqlc9U1BIumo38\/+xq3CI77OkDuHphctzxcIdrF9fBDzqtuYQcAuG1A7tcAJtctzi7+vt0AuQMAQgVyvwYwuW5xeJ7CLq0EZwO5AwBCBXK\/JjC5bjG4S56HMnaRfcmrAID9A3K\/RjC5rh5Om12cJW+A3AEAoQK5XyOYXFcP92zscuUHcgcAhArkfs1gcl05PDt+1ys+kDsAIFQg92sGk+uKmDTZxZ+\/2UDuAIBQgdxvAEyum8Fif\/DgwV70ZkDuAIBQgdxvCEyum3XF78swBeQOAAgVyP2GuM2T6zjOLPR96Iq3gdwBAKECud8gt3Fynfm5Gw9LcJf8PgG5AwBCBXK\/QeyJZNyS39eN48dvneO4stj3qbVuA7kDAEIFcr9huCXLrdh937iHYt9\/IQC5AwBCBXIHYEWQVwEAoQK5A7AiyKsAgFCB3AFYEeRVAECoQO4ArAjyKgAgVCB3AFYEeRUAECqQOwArgrwKAAiVHZH7FY3SL+W+sq3RysQRF5S17tFB9JDS4aU+TzD9ldKTQ4pOUhpeZtRqmOMFo5SSwvUOKWm9ocFkKk+\/ylrUOIiplU34U2U4oqRN54OxPAfcDvi5AwBAiKxbPt2w3L+kdCS1XM6kR604UiKXbr6kYfqQIiP8qzK5G3EzU5r0zyiJIjru9MWnKrl74Zj8TJ3kkA6OOzRQdQJwC4DcAQChsl9yZzlnbYpF6\/sk\/ZWuhimdROpv6dy5cmfeU5o08mMWkrtAHfcFdQaf9Ddg34HcAQChsmdyZz5Qt3mHDqLPKbmvu+NNa3rRlvvxY+qOVNc+5A6qgNwBAKGyY3IvjnWXiXYqW+xiXzyTtKRU7v71+LxTSvX4ObrlQRWcVwAAIETWLZ9uWO6LtNxN1zyL+p6Q8oX+XrBAt\/x0dE6ncZSLulzuXmXgIKK4+ZIyuyIB9p7yvAoAANtn3fIpPLnLSXUNip++pM6JaE3Hbcr0zPdF5J7fq9GiTBxU33K\/pFH3sahIHFMz7ZN9FbD\/QO4AgFDZM7nrn8NpoavuedGqbvWUeDcud0bPyPd7CcDeA7kDAEJlj+ReJlnvu4W75UXLX1cIFhpz17+ld3oJwN4DuQMAQmXH5O6PdestSWnot9INtngv\/mWBCXWLvMSmWMnIewlOz2kEv98KOL8AAECIrFs+3ZDcAQgP5FUAQKhA7gCsCPIqACBUIHcAVgR5FQAQKkHKHRs2bNiwYcO23rYOaLoAAAAAewbkDgAAAOwZkDsAAACwZ0DuAAAAwJ4BuQMAAAB7BuQOAAAA7BmQOwAAALBnQO4AAADAngG5AwAAAHsG5A4AAADsGZA7AAAAsGdA7gAAAMCeAbkDAAAAewbkDgAAAOwZkDsAAACwZ0DuAAAAwF5B9P8DQZ6s3a22kQcAAAAASUVORK5CYII=\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P42\"><strong>Obs.<\/strong>: Dentro do s\u00edmbolo sempre ter\u00e1 algo escrito, pois somente os s\u00edmbolos n\u00e3o nos dizem nada. Veja no exemplo a seguir:<\/p>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P37\">\n<p><!--Next ' div' is a draw:frame. --><\/p>\n<div id=\"Imagem_45\" class=\"fr5\" style=\"height: 11.252cm; width: 4.697cm; padding: 0; float: left; position: relative; left: 10,283cm; top: 0.03cm;\"><img decoding=\"async\" style=\"height: 11.252cm; width: 4.697cm;\" 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\" alt=\"\" \/><\/div>\n<\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P38\"><strong><span class=\"T14\">Obs.<\/span><\/strong><span class=\"T13\">: <\/span><span class=\"T15\">Veja que no exemplo da bala seguimos uma sequ\u00eancia l\u00f3gica somente com informa\u00e7\u00f5es diretas, j\u00e1 no segundo exemplo da m\u00e9dia utilizamos c\u00e1lculo e exibimos o resultado do mesmo.<\/span><\/p>\n<h1 class=\"P130\" style=\"text-align: center;\"><span class=\"T43\">C<\/span>ap\u00edtulo 4<\/h1>\n<h3 class=\"P9\">Constantes e Vari\u00e1veis<\/h3>\n<p class=\"P9\"><span class=\"T3\">Vari\u00e1veis e constantes s\u00e3o os elementos b\u00e1sicos que um programa manipula. Uma<\/span> <span class=\"T3\">vari\u00e1vel. \u00e9 um espa\u00e7o reservado na mem\u00f3ria do computador para armazenar um tipo de dado determinado. Vari\u00e1veis devem receber nomes para poderem ser <\/span><span class=\"T3\">referenciadas e modificadas quando necess\u00e1rio. Um programa deve conter declara\u00e7\u00f5es que especificam de que tipo s\u00e3o as vari\u00e1veis que ele utilizar\u00e1 e as vezes um valor inicial. Tipos podem ser por exemplo: inteiros, reais, caracteres, etc. As express\u00f5es combinam vari\u00e1veis e constantes para calcular novos valores.<\/span><\/p>\n<p class=\"P26_borderStart\"><strong><span class=\"T2\">Vari\u00e1veis<\/span><span class=\"T28\"> &#8211; <\/span><\/strong><span class=\"T29\">Quando declaramos uma vari\u00e1vel em um programa, estamos na verdade definindo e reservando um espa\u00e7o na mem\u00f3ria para armazenar o valor que aquela vari\u00e1vel conter\u00e1 em determinado tempo de execu\u00e7\u00e3o do programa. <\/span>Muito dif\u00edcil??? Vamos exemplificar ent\u00e3o para facilitar. Suponha que voc\u00ea precise fazer um programa que solicite ao usu\u00e1rio dois n\u00fameros inteiros, some esses dois n\u00fameros e apresente o resultado da soma para o usu\u00e1rio. Para resolver esse problema teremos de DECLARAR duas vari\u00e1veis do TIPO inteiras. Vamos supor que essas duas vari\u00e1veis se chamem X e Y. Al\u00e9m disso, voc\u00ea precisar\u00e1 de uma terceira vari\u00e1vel para armazenar o resultado da soma. Vamos chamar ent\u00e3o essa vari\u00e1vel de SOMA. Sendo assim, teremos o seguinte algoritmo passo a passo:<\/p>\n<p class=\"P19\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P41\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_3\" class=\"fr7\" style=\"height: 8.049cm; width: 12.984cm; padding: 0;\"><img decoding=\"async\" style=\"height: 8.049cm; width: 12.984cm;\" 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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P19\">N\u00e3o se preocupe com alguns detalhes desse algoritmo, voltaremos nele mais para frente. O que \u00e9 importante no momento \u00e9 entender como funcionam as vari\u00e1veis. Veja, o programa solicita ao usu\u00e1rio para digitar os valores de X e Y. Nesse instante \u00e9 impresso na tela a mensagem que est\u00e1 dentro dos par\u00eanteses do comando ESCREVA e, em seguida, o usu\u00e1rio digita um valor usando o teclado. No momento em que o usu\u00e1rio digita o valor desejado, esse valor DECIMAL \u00e9 \u201cpassado\u201d para a vari\u00e1vel X, por meio do comando LEIA. Lembre-se, a vari\u00e1vel X \u00e9 um espa\u00e7o de mem\u00f3ria reservado, com o tamanho de bits para o tipo de dado INTEIRO. O mesmo acontece com a vari\u00e1vel Y. Esses valores ficar\u00e3o armazenados nas vari\u00e1veis enquanto nenhum outro valor for digitado para eles, ou enquanto o programa estiver em execu\u00e7\u00e3o. Isso significa que depois que o programa terminar de executar, esses valores deixar\u00e3o de existir, assim como as vari\u00e1veis, e o espa\u00e7o de mem\u00f3ria que estava reservado ser\u00e1 tamb\u00e9m liberado.<\/p>\n<h3 class=\"P78_borderEnd\">Tipos de Vari\u00e1veis<\/h3>\n<p class=\"P17\">As vari\u00e1veis e as constantes podem ser basicamente de quatro tipos: Num\u00e9ricas, caracteres, Alfanum\u00e9ricas ou l\u00f3gicas.<\/p>\n<h3 class=\"P11\"><span class=\"T7\">Num\u00e9ricas &#8211; <\/span><span class=\"T3\">Espec\u00edficas<\/span><\/h3>\n<p class=\"P11\"><span class=\"T3\">para armazenamento de n\u00fameros, que posteriormente poder\u00e3o ser utilizados para c\u00e1lculos. Podem ser ainda classificadas como Inteiras ou Reais. As vari\u00e1veis do tipo inteiro s\u00e3o para armazenamento de n\u00fameros inteiros e as Reais s\u00e3o para o armazenamento de n\u00fameros que possuam casas decimais.<\/span><\/p>\n<p class=\"P11\"><span class=\"T7\"><strong>Caracteres<\/strong> &#8211; <\/span><span class=\"T3\">Espec\u00edficas para armazenamento de conjunto de caracteres que n\u00e3o contenham n\u00fameros (literais). Ex: nomes. <\/span><span class=\"T7\">Alfanum\u00e9ricas &#8211; <\/span><span class=\"T3\">Espec\u00edficas para dados que contenham letras e\/ou n\u00fameros. Pode em determinados momentos conter somente dados num\u00e9ricos ou somente literais. Se usado somente para armazenamento de n\u00fameros, n\u00e3o poder\u00e1 ser utilizada para opera\u00e7\u00f5es matem\u00e1ticas.<\/span><\/p>\n<p class=\"P26\"><span class=\"T30\"><strong>L\u00f3gicas<\/strong> &#8211; <\/span><span class=\"T29\">Armazenam somente dados l\u00f3gicos que podem ser Verdadeiro ou Falso. <\/span>Constantes Uma constante \u00e9 uma vari\u00e1vel. Sim, \u00e9 uma vari\u00e1vel no sentido de que uma constante tamb\u00e9m reserva um espa\u00e7o de mem\u00f3ria para o tipo de dado que manipular\u00e1. Entretanto, uma constante armazenar\u00e1 um valor \u00daNICO, um valor que N\u00c3O mudar\u00e1 com o tempo de execu\u00e7\u00e3o do programa. Suponha que voc\u00ea precise trabalhar com o n\u00famero PI, que \u00e9 um valor fixo de aproximadamente 3.14. Voc\u00ea pode simplesmente declar\u00e1-lo e utiliz\u00e1-lo em todo o seu programa. Veja:<\/p>\n<p class=\"P19\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P41\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_5\" class=\"fr8\" style=\"height: 8.042cm; width: 13.901cm; padding: 0;\"><img decoding=\"async\" style=\"height: 8.042cm; width: 13.901cm;\" 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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P21\">Uma constante chamada PI foi declarada no in\u00edcio do algoritmo e, posteriormente, usada para realizar uma opera\u00e7\u00e3o de multiplica\u00e7\u00e3o. Portanto, lembre-se: constantes e vari\u00e1veis s\u00e3o espa\u00e7os de mem\u00f3ria reservados para o tipo de dados que voc\u00ea deseja trabalhar. Constantes s\u00e3o valores fixos que voc\u00ea utilizar\u00e1 em seu programa e vari\u00e1veis s\u00e3o valores que precisam variar durante o tempo de execu\u00e7\u00e3o do seu programa.<\/p>\n<h1 class=\"P140\" style=\"text-align: center;\"><span class=\"T43\">C<\/span>ap\u00edtulo 5<\/h1>\n<h3>Operadores<\/h3>\n<p class=\"P17\">Os operadores s\u00e3o meios pelo qual incrementamos, decrementamos, comparamos e avaliamos dados dentro do computador. Temos tr\u00eas tipos de operadores:<\/p>\n<ul>\n<li>\u00a0Operadores Aritm\u00e9ticos<\/li>\n<li><span class=\"odfLiEnd\">\u00a0<\/span>Operadores Relacionais<\/li>\n<li>\u00a0Operadores L\u00f3gicos<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li>\u00a0Operadores Aritm\u00e9ticos<\/li>\n<\/ul>\n<p class=\"P17\">Os operadores aritm\u00e9ticos s\u00e3o os utilizados para obter resultados num\u00e9ricos. Al\u00e9m da adi\u00e7\u00e3o, subtra\u00e7\u00e3o, multiplica\u00e7\u00e3o e divis\u00e3o, podem utilizar tamb\u00e9m o operador para exponencia\u00e7\u00e3o. Os s\u00edmbolos para os operadores aritm\u00e9ticos s\u00e3o:<\/p>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P85\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_8\" class=\"fr2\" style=\"height: 3.812cm; width: 8.468cm; padding: 0;\"><img decoding=\"async\" style=\"height: 3.812cm; width: 8.468cm;\" 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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<h3 class=\"P53\"><strong>Operadores Relacionais <\/strong><\/h3>\n<p class=\"P53\"><span class=\"T3\">Os operadores relacionais s\u00e3o utilizados para comparar <\/span><span class=\"T11\">String <\/span><span class=\"T3\">de caracteres e n\u00fameros. Os valores a serem comparados podem ser caracteres ou vari\u00e1veis. Estes operadores sempre retornam valores l\u00f3gicos (verdadeiro ou falso\/ True ou False), para estabelecer prioridades no que diz respeito a qual opera\u00e7\u00e3o executar primeiro,<br \/>\nutilize os par\u00eanteses. Os operadores relacionais s\u00e3o:<\/span><\/p>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P28\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_9\" class=\"fr2\" style=\"height: 3.916cm; width: 7.146cm; padding: 0;\"><img decoding=\"async\" style=\"height: 3.916cm; width: 7.146cm;\" src=\"data:image\/*;base64,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\" alt=\"\" \/><\/span><\/div>\n<div><strong>ou, dependendo da linguagem<\/strong><\/div>\n<div>Igual a\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0==<\/div>\n<div>Diferente de\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0!=<\/div>\n<div>Maior que\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0&gt;<\/div>\n<div>Menor que\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 &lt;<\/div>\n<div>Maior ou igual a\u00a0 \u00a0 &gt;=<\/div>\n<div>Menor ou igual a\u00a0 \u00a0&lt;=<\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<h3 class=\"P53\"><strong>Operadores L\u00f3gicos<\/strong><\/h3>\n<p class=\"P17\">Os operadores l\u00f3gicos servem para combinar resultados de express\u00f5es, retornando se o resultado final \u00e9 verdadeiro ou falso. Os operadores l\u00f3gicos s\u00e3o:<\/p>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P40\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_11\" class=\"fr9\" style=\"height: 1.773cm; width: 3.254cm; padding: 0;\"><img decoding=\"async\" style=\"height: 1.773cm; width: 3.254cm;\" src=\"data:image\/*;base64,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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<ul>\n<li>\n<p class=\"P162\" style=\"margin-left: 0,751cm;\"><span class=\"T6\">E \/ AND<\/span><span class=\"T3\"> &#8211; Uma express\u00e3o AND (E) \u00e9 verdadeira se todas as condi\u00e7\u00f5es forem verdadeiras.<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/p>\n<\/li>\n<li>\n<p class=\"P162\" style=\"margin-left: 0,751cm;\"><span class=\"T6\">OR \/ OU <\/span><span class=\"T3\">&#8211; Uma express\u00e3o OR (OU) \u00e9 verdadeira se pelo menos uma condi\u00e7\u00e3o for verdadeira.<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/p>\n<\/li>\n<li>\n<p class=\"P162\" style=\"margin-left: 0,751cm;\"><span class=\"T6\">NOT<\/span><span class=\"T3\"> &#8211; Uma express\u00e3o NOT (N\u00c3O) inverte o valor da express\u00e3o ou condi\u00e7\u00e3o, se verdadeira inverte para falsa e vice-versa.<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<h3 class=\"P18\"><strong>A tabela abaixo mostra todos os valores poss\u00edveis criados pelos tr\u00eas operadores l\u00f3gicos (AND, OR e NOT).<\/strong><\/h3>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P40\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_12\" class=\"fr2\" style=\"height: 4.921cm; width: 9.419cm; padding: 0;\"><img decoding=\"async\" style=\"height: 4.921cm; width: 9.419cm;\" src=\"data:image\/*;base64,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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<h3 class=\"P56\"><strong>Opera\u00e7\u00f5es L\u00f3gicas<\/strong><\/h3>\n<p class=\"P17\">Opera\u00e7\u00f5es L\u00f3gicas s\u00e3o utilizadas quando se torna necess\u00e1rio tomar decis\u00f5es em um diagrama de bloco. Num diagrama de bloco, toda decis\u00e3o ter\u00e1 sempre como resposta o resultado VERDADEIRO ou FALSO. Como no exemplo do algoritmo \u201cCHUPAR UMA BALA\u201d. Imaginemos que algumas pessoas n\u00e3o gostem de chupar bala de Morango, neste caso teremos que modificar o algoritmo para:<\/p>\n<h3 class=\"P14\"><strong>\u201cChupar uma bala\u201d<\/strong><\/h3>\n<ul>\n<li class=\"P175\" style=\"margin-left: 3,752cm;\">Pegar a bala<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P175\" style=\"margin-left: 3,752cm;\">A bala \u00e9 de morango?<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P176\" style=\"margin-left: 3,752cm;\"><span class=\"T3\">Se <\/span><span class=\"T7\">sim<\/span><span class=\"T3\">, n\u00e3o chupe a bala<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P176\" style=\"margin-left: 3,752cm;\"><span class=\"T3\">Se <\/span><span class=\"T7\">n\u00e3o<\/span><span class=\"T3\">, continue com o algoritmo<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P175\" style=\"margin-left: 3,752cm;\">Retirar o papel<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P175\" style=\"margin-left: 3,752cm;\">Chupar a bala<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P175\" style=\"margin-left: 3,752cm;\">Jogar o papel no lixo<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<\/ul>\n<p class=\"P43\"><strong>Exemplo do algoritmo \u201cChupar Bala\u201d utilizando diagrama de Blocos<\/strong>:<\/p>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P40\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_14\" class=\"fr10\" style=\"height: 8.391cm; width: 5.641cm; padding: 0;\"><img decoding=\"async\" style=\"height: 8.391cm; width: 5.641cm;\" 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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<h3 class=\"P79\"><strong>Comandos de Decis\u00e3o<\/strong><\/h3>\n<p class=\"P31\">Comandos de Controle de Programa ou simplesmente comandos de decis\u00e3o s\u00e3o comandos que podemos usar em nossos programas para direcionar o fluxo de sua execu\u00e7\u00e3o. Explicaremos melhor a seguir, n\u00e3o se preocupe. Um programa pode ser dividido em partes, como pudemos compreender at\u00e9 aqui, primeiro temos que escrever o nome do programa, depois temos um espa\u00e7o reservado para declara\u00e7\u00e3o de vari\u00e1veis, a\u00ed entra o programa principal, com os comandos que queremos que sejam executados. Um comando de controle de programa \u00e9 ent\u00e3o um comando que desvia de uma parte do programa, executa determinada a\u00e7\u00e3o, e volta para onde estava. Normalmente, o programa principal est\u00e1 sendo executado e ent\u00e3o, ao chegar em uma linha que cont\u00e9m um comando desse tipo, o controle do programa passa a n\u00e3o ser mais do programa principal, mas sim daquele bloco de c\u00f3digo que est\u00e1 sendo executado.<\/p>\n<h3 class=\"P57\">A estrutura de decis\u00e3o \u201cSE\/IF\u201d<\/h3>\n<p class=\"P15\">Normalmente vem acompanhada de um comando, ou seja, se determinada condi\u00e7\u00e3o for satisfeita pelo comando SE\/IF ent\u00e3o execute determinado comando. Segue Sintaxe:<\/p>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P111\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_18\" class=\"fr9\" style=\"height: 1.244cm; width: 4.366cm; padding: 0;\"><img decoding=\"async\" style=\"height: 1.244cm; width: 4.366cm;\" src=\"data:image\/*;base64,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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P12\"><strong><span class=\"T17\">O comando <\/span><\/strong><span class=\"T18\"><strong>SE<\/strong> (IF): <\/span><span class=\"T17\">deve ser utilizado sempre quando precisamos analisar uma situa\u00e7\u00e3o e decidir o que vamos fazer em seguida. Simplificadamente, funciona mais ou menos assim: Se tal condi\u00e7\u00e3o for verdadeira, fa\u00e7a tal coisa, caso contr\u00e1rio, fa\u00e7a outra coisa. Daremos um exemplo cl\u00e1ssico. Desenvolveremos um programa que:<\/span><\/p>\n<ul>\n<li>Solicite as notas das duas provas bimestrais dos estudantes;<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li>Calcule a m\u00e9dia dessas notas;<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li>Verifique a situa\u00e7\u00e3o do estudante:<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li><span class=\"ListLabel_20_69\" style=\"display: block; float: left; min-width: 0,635cm;\">o\u00a0 <\/span><span class=\"T18\">Aprovado <\/span><span class=\"T17\">se a m\u00e9dia for maior ou igual a 7;<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li><span class=\"ListLabel_20_69\" style=\"display: block; float: left; min-width: 0,635cm;\">o\u00a0 <\/span><span class=\"T18\">Recupera\u00e7\u00e3o <\/span><span class=\"T17\">se a m\u00e9dia for menor que 7 e maior que 4;<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li><span class=\"ListLabel_20_69\" style=\"display: block; float: left; min-width: 0,635cm;\">o\u00a0 <\/span><span class=\"T18\">Reprovado <\/span><span class=\"T17\">se a m\u00e9dia for menor que 4.<\/span><span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<li class=\"P180\" style=\"margin-left: 0,501cm;\">Apresente na tela os resultados.<span class=\"odfLiEnd\">\u00a0<\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-14268\" src=\"https:\/\/www.fuctura.com.br\/recife\/wp-content\/uploads\/2019\/05\/se_simples.png\" alt=\"\" width=\"847\" height=\"609\" srcset=\"https:\/\/www.fuctura.com.br\/recife\/wp-content\/uploads\/2019\/05\/se_simples.png 847w, https:\/\/www.fuctura.com.br\/recife\/wp-content\/uploads\/2019\/05\/se_simples-300x216.png 300w, https:\/\/www.fuctura.com.br\/recife\/wp-content\/uploads\/2019\/05\/se_simples-768x552.png 768w\" sizes=\"auto, (max-width: 847px) 100vw, 847px\" \/><\/p>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P70\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_16\" class=\"fr7\" style=\"height: 6.258cm; width: 13.809cm; padding: 0;\"><\/span><\/div>\n<p><strong>Linha 1:<\/strong> Nome do Programa.<\/p>\n<p><strong>Linha 3: <\/strong>In\u00edcio do Programa.<\/p>\n<p><strong>Linha 5<\/strong>: Declara\u00e7\u00e3o de Vari\u00e1veis. S\u00e3o declaradas tr\u00eas vari\u00e1veis do tipo real, duas para obter os valores das duas notas e uma terceira para armazenar o valor da m\u00e9dia.<\/p>\n<p><strong>Linhas 6, 8, 12, 13, 14, 15 e 17: <\/strong>Usamos o comando ESCREVA para escrever textos na tela.<\/p>\n<p><strong>Linhas 7 e 9: <\/strong>Usamos o comando LEIA para obter os valores das vari\u00e1veis n1 e n2 que ser\u00e3o digitados pelo usu\u00e1rio.<\/p>\n<p><strong>Linha 10:<\/strong> Fazemos o c\u00e1lculo da m\u00e9dia das duas notas.<\/p>\n<p><strong>Linha 11: <\/strong>Aqui usamos o comando SE para avaliar a condi\u00e7\u00e3o M\u00c9DIA &gt;= 7.0. Se a resposta para avalia\u00e7\u00e3o for VERDADEIRA, ent\u00e3o, vai aparecer na tela as mensagens que colocamos no ESCREVA. Essas mensagens apresentam as notas das provas, a m\u00e9dia e a situa\u00e7\u00e3o do aluno. Se M\u00c9DIA n\u00e3o for maior ou igual a 7.0, ent\u00e3o nada acontece, simplesmente sa\u00edmos do bloco de comando do SE e voltamos para o programa principal, o qual apenas emite uma mensagem de FIM DE PROGRAMA. Portanto, das linhas 11 \u00e0 16, temos o bloco de comando do IF. A condi\u00e7\u00e3o sendo <strong>verdadeiro<\/strong>, esse bloco ser\u00e1 executado, sendo <strong>falso<\/strong>, sair\u00e1 do bloco. se\/sen\u00e3o Vamos ver agora como fica o mesmo programa ao tratarmos tanto a resposta <strong>verdadeiro<\/strong>, quanto a <strong>falso<\/strong>. O Pseudoc\u00f3digo correspondente \u00e9 apresentado na figura a seguir:<\/p>\n<p class=\"P22\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P70\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_20\" class=\"fr2\" style=\"height: 8.396cm; width: 13.194cm; padding: 0;\"><img decoding=\"async\" style=\"height: 8.396cm; width: 13.194cm;\" 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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P24\"><span class=\"T17\"><strong>Observe as linhas de 17 a 21<\/strong>. Nelas encontram-se o tratamento para a resposta FALSA da avalia\u00e7\u00e3o da condi\u00e7\u00e3o. Novamente vamos imprimir na tela os valores das notas, da m\u00e9dia e agora a situa\u00e7\u00e3o do estudante aparecer\u00e1 como REPROVADO. A condi\u00e7\u00e3o avaliada \u00e9 a seguinte: <\/span><span class=\"T21\">Se a M\u00c9DIA &gt;= 7 \u00e9 V ent\u00e3o o estudante est\u00e1 aprovado, CASO CONTR\u00c1RIO, o estudante est\u00e1 reprovado. <\/span><span class=\"T17\">Ent\u00e3o, o comando S<\/span><span class=\"T21\">e Composto <\/span><span class=\"T17\">pode ser generalizado como: <\/span>SE a condi\u00e7\u00e3o avaliada for Verdadeira, ENT\u00c3O, execute os comandos deste bloco, CASO CONTR\u00c1RIO, execute os comandos do outro bloco. Ao terminar a execu\u00e7\u00e3o do bloco SE, retorne ao programa principal.<\/p>\n<h3 class=\"P24\">A sintaxe \u00e9:<\/h3>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P70\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_21\" class=\"fr2\" style=\"height: 2.064cm; width: 4.128cm; padding: 0;\"><img decoding=\"async\" style=\"height: 2.064cm; width: 4.128cm;\" src=\"data:image\/*;base64,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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P72\"><strong><span class=\"Strong\"><span class=\"T25\">While<\/span><\/span><\/strong><\/p>\n<p class=\"P24\"><span class=\"T17\">O comando <\/span><span class=\"T18\">While <\/span><span class=\"T17\">\u00e9 um comando de LOOP, ou falando em portugu\u00eas, um comando de repeti\u00e7\u00e3o. Este \u00e9 muito diferente do comportamento do comando IF. Em um comando de decis\u00e3o, \u00e9 analisada uma condi\u00e7\u00e3o e, se a resposta for V ou F, algo acontece, ou n\u00e3o, uma \u00fanica vez. <\/span>No caso do While, uma condi\u00e7\u00e3o tamb\u00e9m \u00e9 analisada, uma resposta F sai do bloco de comando e volta para o programa principal, mas uma resposta V executar\u00e1 o bloco de instru\u00e7\u00f5es repetidas vezes. A quantidade de vezes que aquele bloco de instru\u00e7\u00f5es ser\u00e1 executado \u00e9 definido na condi\u00e7\u00e3o. Portanto, enquanto a condi\u00e7\u00e3o for verdadeira, repita o bloco de comandos. No momento em que a condi\u00e7\u00e3o for falsa, sair\u00e1 do while.<\/p>\n<h3 class=\"P24\">A sintaxe do comando While \u00e9 a seguinte:<\/h3>\n<p class=\"P66\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P70\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_23\" class=\"fr11\" style=\"height: 1.476cm; width: 4.902cm; padding: 0;\"><img decoding=\"async\" style=\"height: 1.476cm; width: 4.902cm;\" src=\"data:image\/*;base64,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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<h3 class=\"P21\">Veremos a seguir um exemplo simples onde iremos somar os n\u00fameros menores ou iguais a dez.<\/h3>\n<p class=\"P21\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P70\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_24\" class=\"fr2\" style=\"height: 6.41cm; width: 12.081cm; padding: 0;\"><img decoding=\"async\" style=\"height: 6.41cm; width: 12.081cm;\" 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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<h3 class=\"P71\"><span class=\"Strong\"><span class=\"T24\">Switch Case<\/span><\/span><\/h3>\n<p class=\"P24\"><span class=\"T20\">O comando Switch\/Case \u00e9 do tipo\u00a0<\/span><span class=\"Strong\"><span class=\"T20\">Sele\u00e7\u00e3o\/Condi\u00e7\u00e3o<\/span><\/span><span class=\"T20\">, como o IF: diante de uma condi\u00e7\u00e3o ele seleciona o que ser\u00e1 feito. Este comando \u00e9 muito utilizado para a constru\u00e7\u00e3o de menus de op\u00e7\u00f5es ao usu\u00e1rio, a sua sintaxe em pseudoc\u00f3digo (VISUALG) \u00e9 a seguinte:<\/span><\/p>\n<p class=\"P22\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P70\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_25\" class=\"fr12\" style=\"height: 3.651cm; width: 4.948cm; padding: 0;\"><img decoding=\"async\" style=\"height: 3.651cm; width: 4.948cm;\" 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LslnhQR4QHiVC0X0fOO6F5cbzGCH5lAoXVCW4ETRcpAXZb+lxXV+Yc7UArejVuOX5CZdDQXZT0NSnLSaNmfUvb7idj2vLy26PEXGc7Cgs3XWLclF4WQ3MPIJxgbzswXmwGN3zZAyRvQtqPqA6wQHY0dPdnsIFcMwmu919QRYrrpMdd+Dg3QKguzX0t8ebiobvFtGOnxwr7Oz0+ojsycIU2TuhRvaImoq+XADHZcieH49id\/lq\/Mvb2RvLjgtIZJ83LWQ3u\/ysf2bmomXHY8kurD8g4n9fqmkgIxlLg\/LFfS34jlGJacQO591e9nCu5lohvxfZ50tZdtjJqzSm\/g8ScAEc9bLblCOQwj7mZHfHq35UUjqegZOTtvu5uXcCC92RmXY3blF2DS4i7APXxC8Y4XJpl8bUwAUQhL4gsgujQWQXRgPKLgiLz5r6P\/tSvjy3rUleAAAAAElFTkSuQmCC\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P19\">A palavra-chave ESCOLHA \u00e9 o comando que conhecemos como SWITCH em v\u00e1rias linguagens de programa\u00e7\u00e3o. Switch em ingl\u00eas quer dizer (entre outros significados) chave, ent\u00e3o, um comando Switch funciona como uma chave de sele\u00e7\u00e3o. Caso \u00e9 uma palavra-chave reservada que em ingl\u00eas \u00e9 Case, o qual \u00e9 selecionado de acordo com o valor da express\u00e3o.<\/p>\n<p class=\"P19\">Cada CASO \u00e9 um bloco de comandos espec\u00edfico que ser\u00e1 executado somente se for selecionado. Ent\u00e3o, Switch seleciona um CASO e CASO \u00e9 a sele\u00e7\u00e3o de um bloco de comandos espec\u00edfico. Em algumas situa\u00e7\u00f5es voc\u00ea pode usar o IF\/ELSE ou o SWITCH\/CASE para resolver o mesmo problema. Apesar de serem comandos parecidos, funcionam de formas diferentes.<\/p>\n<p class=\"P20\">O comando funciona basicamente da seguinte forma: o valor de ESCOLHA (Switch) \u00e9 normalmente uma vari\u00e1vel que cont\u00e9m um valor que foi digitado pelo usu\u00e1rio anteriormente. Esse valor ser\u00e1 comparado a cada um dos casos, at\u00e9 chegar no caso igual a esse valor e, se o valor n\u00e3o existir nos casos, ser\u00e1 direcionado para default. Refor\u00e7o que o programa \u00e9 executado de forma sequencial, isto \u00e9, o programa \u00e9 executado linha a linha. Se tivermos 10 casos e o usu\u00e1rio digitar a op\u00e7\u00e3o 8, ficar\u00e1 assim:<\/p>\n<p class=\"P20\"><strong>Caso1 = 8?<\/strong> Falso, n\u00e3o executa nada e vai pro pr\u00f3ximo caso.<\/p>\n<p class=\"P20\"><strong>Caso2 = 8 ?<\/strong> Falso, n\u00e3o executa nada e vai pro pr\u00f3ximo caso.<\/p>\n<p class=\"P20\"><strong>Assim por diante at\u00e9 que: Caso8= 8<\/strong>? Verdadeiro, entra no bloco de comandos executa todas as instru\u00e7\u00f5es e depois retorna o comando para o programa principal.<\/p>\n<p class=\"P20\">Vamos codificar uma calculadora que permite ao usu\u00e1rio escolher a opera\u00e7\u00e3o matem\u00e1tica que ele deseja.<\/p>\n<p class=\"P22\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P24\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_27\" class=\"fr2\" style=\"height: 16.693cm; width: 15.533cm; padding: 0;\"><img decoding=\"async\" style=\"height: 16.693cm; width: 15.533cm;\" 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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<h3 class=\"P66\"><strong>Analisaremos a seguir o pseudoc\u00f3digo:<\/strong><\/h3>\n<p class=\"P24\"><strong><span class=\"T18\">Linha 3 e 4: <\/span><\/strong><span class=\"T17\">s\u00e3o declaradas as vari\u00e1veis que utilizaremos no programa. X e Y s\u00e3o as vari\u00e1veis respons\u00e1veis por armazenar os valores dos n\u00fameros (operandos). OP \u00e9 o valor da op\u00e7\u00e3o que o usu\u00e1rio selecionar\u00e1.<\/span><\/p>\n<p class=\"P24\"><strong><span class=\"T18\">Linha 14: <\/span><\/strong><span class=\"T17\">LIMPATELA \u00e9 um comando utilizado para limpar a tela do CONSOLE no momento em que o programa est\u00e1 sendo executado.<\/span><\/p>\n<p class=\"P24\"><strong><span class=\"T18\">Linhas de 16 a 19: <\/span><\/strong><span class=\"T17\">Nestas linhas apenas escrevemos na tela do console mensagens que apresentam as op\u00e7\u00f5es ao usu\u00e1rio. S\u00e3o mensagens claras e objetivas.<\/span><\/p>\n<p class=\"P24\"><strong><span class=\"T18\">Linhas de 21 a 23: <\/span><\/strong><span class=\"T17\">Nestas linhas pedimos ao usu\u00e1rio que escolha a op\u00e7\u00e3o que ele deseja e fazemos a LEITURA do valor digitado pelo usu\u00e1rio. OP armazena esse <\/span><span class=\"T17\">valor para que ele seja usado em seguida, na compara\u00e7\u00e3o do caso at\u00e9 encontrar o caso desejado.<\/span><\/p>\n<p class=\"P24\"><strong><span class=\"T18\">Linhas 25 a 27: <\/span><\/strong><span class=\"T17\">Este \u00e9 o CASO 1. Aqui \u00e9 executada a opera\u00e7\u00e3o de SOMA. Observe que todos os comandos aqui s\u00e3o utilizados para isso, para calcular a SOMA e<br \/>\napresentar ao usu\u00e1rio o resultado da soma.<\/span><\/p>\n<p class=\"P24\"><span class=\"T18\"><strong>Linhas 29 a 31<\/strong>: <\/span><span class=\"T17\">Aqui est\u00e3o os comandos correspondentes ao CASO 2, que \u00e9 a SUBTRA\u00c7\u00c3O, bem parecido com o CASO1.<\/span><\/p>\n<p class=\"P24\"><strong><span class=\"T18\">Linhas 33 a 35: <\/span><\/strong><span class=\"T17\">Aqui est\u00e3o os comandos correspondentes ao CASO 3, que \u00e9 a MULTIPLICA\u00c7\u00c3O, bem parecido com o CASO1.<\/span><\/p>\n<p class=\"P24\"><strong><span class=\"T18\">Linhas 37 a 43: <\/span><\/strong><span class=\"T17\">Aqui est\u00e3o os comandos correspondentes ao CASO 4, que \u00e9 a DIVIS\u00c3O. Aqui foi feito o tratamento da divis\u00e3o por zero, nunca podemos nos esquecer disso quando formos usar a DIVIS\u00c3O. Se o divisor for zero, n\u00e3o existe divis\u00e3o por zero e isso gera um erro! Ent\u00e3o, quando o divisor for zero, enviamos uma mensagem para o usu\u00e1rio alertando-o sobre isso. Caso contr\u00e1rio, a divis\u00e3o ocorre normalmente.<\/span><\/p>\n<p class=\"P24\"><span class=\"T18\"><strong>Linha 45<\/strong>: <\/span><span class=\"T17\">FIMESCOLHA \u00e9 o comando para finalizar o ESCOLHA\/CASO.<\/span><\/p>\n<p class=\"P92\"><strong>For<\/strong> (Para) O comando FOR pode ser utilizado sempre que voc\u00ea precisar repetir um bloco de comandos, Mas cuidado, um bloco de comando deve ser repetido um<br \/>\nn\u00famero de vezes, isto \u00e9, a repeti\u00e7\u00e3o deve ter um fim, caso contr\u00e1rio, o seu programa ficar\u00e1 em LOOP infinito. Resumindo, se n\u00e3o tiver um fim, aqueles comandos ficar\u00e3o executando eternamente, o programa ficar\u00e1 travado nisso e ningu\u00e9m quer isso certo?! Na verdade, n\u00e3o \u00e9 agrad\u00e1vel quando isso acontece e, na maioria das vezes, o LOOP infinito ocorre por um erro de l\u00f3gica ou um erro de digita\u00e7\u00e3o, al\u00e9m disso, deve haver uma forma de CONTAR quantas vezes o FOR foi executado, isto \u00e9, precisamos de um contador ou um INCREMENTADOR. No pseudoc\u00f3digo apresentado aqui, pelo VisuALg, esse incrementador fica IMPL\u00cdCITO, mas a maioria das linguagens de programa\u00e7\u00e3o, implementa o incrementador de forma EXPLICITA. Mostrarei com o FOR \u00e9 implementado em outras linguagens para que voc\u00eas compreendam melhor.<\/p>\n<p class=\"P31\">A estrutura FOR, portanto, repete a execu\u00e7\u00e3o do bloco em um n\u00famero definitivo de vezes pois ela possui limites fixos, devemos utilizar essa estrutura quando sabe-se de antem\u00e3o o n\u00famero de vezes que o la\u00e7o dever\u00e1 ser executado. A estrutura b\u00e1sica \u00e9 a seguinte:<\/p>\n<p class=\"P31\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P29\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_32\" class=\"fr12\" style=\"height: 1.323cm; width: 5.212cm; padding: 0;\"><img decoding=\"async\" style=\"height: 1.323cm; width: 5.212cm;\" src=\"data:image\/*;base64,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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P26\"><span class=\"Strong\"><span class=\"T23\">V<\/span><\/span><span class=\"T23\">\u00a0\u00e9 uma vari\u00e1vel de controle que precisa ser do tipo inteiro,\u00a0<\/span><span class=\"Strong\"><span class=\"T23\">VI<\/span><\/span><span class=\"T23\">\u00a0\u00e9 o valor inicial da vari\u00e1vel\u00a0<\/span><span class=\"Strong\"><span class=\"T23\">V<\/span><\/span><span class=\"T23\">\u00a0e\u00a0<\/span><span class=\"Strong\"><span class=\"T23\">VF<\/span><\/span><span class=\"T23\">\u00a0\u00e9 o valor final da vari\u00e1vel<\/span><span class=\"Strong\"><span class=\"T23\">\u00a0V<\/span><\/span><span class=\"T23\">. <\/span><\/p>\n<p class=\"P26\"><span class=\"T23\"><strong>Fazemos a leitura da seguinte forma<\/strong>: para uma vari\u00e1vel V com um valor inicial VI at\u00e9 atingir o valor final VF FA\u00c7A. O comando FOR vai repetir todas as linhas de comando que estiverem dentro do seu bloco at\u00e9 que VF seja alcan\u00e7ado. Quando VF for alcan\u00e7ado, o FOR para e sai do bloco de comandos, retornando o controle para o programa principal. Exemplo de pseudoc\u00f3digo estrutura FOR:<\/span><\/p>\n<p class=\"P30\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P85\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_33\" class=\"fr2\" style=\"height: 6.773cm; width: 10.532cm; padding: 0;\"><img decoding=\"async\" style=\"height: 6.773cm; width: 10.532cm;\" 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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<h3 class=\"P68\"><strong>Vamos analisar o pseudoc\u00f3digo acima linha a linha:<\/strong><\/h3>\n<p class=\"P39\"><strong><span class=\"T18\">Linha 1: <\/span><\/strong><span class=\"T17\">nome do algoritmo.<\/span><\/p>\n<p class=\"P39\"><strong><span class=\"T18\">Linha 3 e 4: <\/span><\/strong><span class=\"T17\">declara\u00e7\u00e3o de vari\u00e1veis.<\/span><\/p>\n<p class=\"P122\"><strong><span class=\"T18\">Linha 6: <\/span><\/strong><span class=\"T17\">inicio do algoritmo.<\/span><\/p>\n<p class=\"P122\"><span class=\"T18\"><strong>Linha 7:<\/strong> <\/span><span class=\"T17\">inicializando a vari\u00e1vel i com o valor zero.<\/span><\/p>\n<p class=\"P122\"><span class=\"T18\"><strong>Linha 8<\/strong>: <\/span><span class=\"T17\">inicializando a vari\u00e1vel soma com zero.<\/span><\/p>\n<p class=\"P122\"><span class=\"T18\"><strong>Linha 9:<\/strong> <\/span><span class=\"T17\">escreve uma mensagem de texto na tela.<\/span><\/p>\n<p class=\"P122\"><strong><span class=\"T18\">Linha 11 a 15: <\/span><\/strong><span class=\"T17\">comando For.<\/span><\/p>\n<p class=\"P122\"><strong><span class=\"T18\">Linha 11: <\/span><\/strong><span class=\"T17\">Nesta linha \u00e9 definido o comando FOR &#8211; <\/span><span class=\"T31\">para i de 1 at\u00e9 10 fa\u00e7a <\/span><span class=\"T17\">&#8211; isto \u00e9, para i come\u00e7ando em 1 e at\u00e9 alcan\u00e7ar o valor 10, execute os comandos deste bloco.<\/span><\/p>\n<p class=\"P122\"><strong><span class=\"T18\">Linhas 12, 13 e 14: <\/span><\/strong><span class=\"T17\">s\u00e3o os comandos que ser\u00e3o repetidos at\u00e9 que VF seja igual a 10.<\/span><\/p>\n<p class=\"P122\"><span class=\"T18\"><strong>Linha 12<\/strong>: <\/span><span class=\"T17\">Realiza uma soma cumulativa, <\/span><span class=\"T32\">soma &lt;- i + soma<\/span><span class=\"T17\">, em que o valor da vari\u00e1vel SOMA ser\u00e1 sempre somado com o valor da vari\u00e1vel I, armazenando o resultado dessa soma em SOMA.<\/span><\/p>\n<p class=\"P122\"><strong><span class=\"T18\">Linha 13: <\/span><\/strong><span class=\"T17\">escreve uma mensagem de texto na tela, informando o valor ATUAL da vari\u00e1vel i.<\/span><\/p>\n<p class=\"P122\"><strong><span class=\"T18\">Lin<\/span><span class=\"T18\">ha 14:<\/span><\/strong> <span class=\"T17\">escreve uma mensagem de texto na tela, informando o valor ATUAL da vari\u00e1vel soma.<\/span><\/p>\n<p class=\"P122\"><span class=\"T18\"><strong>Linha 15<\/strong>: <\/span><span class=\"T17\">fim do bloco de comando PARA.<\/span><\/p>\n<p class=\"P122\"><strong><span class=\"T18\">Linha 17: <\/span><\/strong><span class=\"T17\">fim do pseudoc\u00f3digo.<\/span><\/p>\n<h3 class=\"P80\">DO-WHILE<\/h3>\n<p class=\"P26\"><span class=\"T23\">O comando Do-While \u00e9 parecido com o comando While, mas existe uma pequena diferen\u00e7a entre eles.<\/span> <span class=\"T23\">Os comandos do bloco DO-WHILE s\u00f3 ser\u00e3o executados se a avalia\u00e7\u00e3o da condi\u00e7\u00e3o resultar VERDADEIRA. Essa \u00e9 a diferen\u00e7a entre esses dois comandos. A sintaxe \u00e9 a seguinte:<\/span><\/p>\n<p class=\"P77\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P77\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_34\" class=\"fr9\" style=\"height: 1.349cm; width: 3.836cm; padding: 0;\"><img decoding=\"async\" style=\"height: 1.349cm; width: 3.836cm;\" src=\"data:image\/*;base64,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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P90\"><strong>Os comandos do do-while ser\u00e3o repetidos quantas vezes forem necess\u00e1rias at\u00e9 que a condi\u00e7\u00e3o definida seja alcan\u00e7ada. Vamos ver um exemplo:<\/strong><\/p>\n<p class=\"P76\"><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P77\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_35\" class=\"fr6\" style=\"height: 5.636cm; width: 9.051cm; padding: 0;\"><img decoding=\"async\" style=\"height: 5.636cm; width: 9.051cm;\" 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\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P19_borderStart\">Esse exemplo mostra como somar os n\u00fameros de 1 a 10, sem a necessidade de algu\u00e9m digitar os n\u00fameros, o pr\u00f3prio programa faz a soma sozinho. S\u00e3o necess\u00e1rias duas vari\u00e1veis: i e soma. A vari\u00e1vel i funciona como um contador, a cada vez que se entra no do-while, ele soma mais um, e \u00e9 assim que conseguimos chegar ao valor 10. A vari\u00e1vel soma armazena o valor da soma, que \u00e9 o resultado de soma + i, e tamb\u00e9m \u00e9 somado de forma iterativa, ou seja, a cada vez que o do-while \u00e9 executado.<\/p>\n<p class=\"P68\">\u00a0A condi\u00e7\u00e3o de parada desse LOOP \u00e9 i=10, ent\u00e3o, enquanto o valor de i n\u00e3o chegar \u00e0 10, o LOOP continuar\u00e1 executando. Quando i for igual a 10, a execu\u00e7\u00e3o dos comandos do bloco do-while s\u00e3o encerradas, e o controle volta para o programa principal. Esse c\u00f3digo faz exatamente a mesma coisa que o c\u00f3digo do artigo anterior, mas desta vez estamos usando DO-WHILE e n\u00e3o WHILE ou FOR.<\/p>\n<p class=\"P19_borderEnd\"><strong>As linhas de 7 a 12<\/strong>: s\u00e3o as que correspondem ao comando do-while que, no VISUALG, no PASCAL e no PSEUDOC\u00d3DIGO \u00e9 chamado de REPEAT-UNTIL ou REPITA AT\u00c9 QUE.<\/p>\n<h3 class=\"P58\">Vetores e Matrizes<\/h3>\n<p class=\"P13\"><span class=\"T33\">Vetores <\/span><span class=\"T34\">e <\/span><span class=\"T33\">Matrizes <\/span><span class=\"T34\">s\u00e3o estruturas de dados muito simples que podem nos ajudar muito quando temos muitas vari\u00e1veis do mesmo tipo em um algoritmo. Imagine o seguinte problema: Voc\u00ea precisa criar um algoritmo que l\u00ea o nome e as 4 notas de 50 alunos, calcular a m\u00e9dia de cada aluno e informar quais foram aprovados e quais foram reprovados.<\/span><\/p>\n<p class=\"P13\"><span class=\"T34\">Conseguiu imaginar quantas vari\u00e1veis voc\u00ea vai precisar? Muitas n\u00e9? Vamos fazer uma conta r\u00e1pida: 50 vari\u00e1veis para armazenar os nomes dos alunos, (4 * 50 =) 200 vari\u00e1veis para armazenar as 4 notas de cada aluno e por fim, 50 vari\u00e1veis para armazenar as m\u00e9dias de cada aluno. 300 vari\u00e1veis no total, sem contar a quantidade de linhas de c\u00f3digo que voc\u00ea vai precisar para ler todos os dados do usu\u00e1rio, calcular <\/span><span class=\"T34\">as m\u00e9dias e apresentar os resultados. Mas eu tenho uma boa not\u00edcia para voc\u00ea. N\u00f3s n\u00e3o precisamos criar 300 vari\u00e1veis! Podemos utilizar <\/span><span class=\"T33\">Vetores <\/span><span class=\"T34\">e <\/span><span class=\"T33\">Matrizes <\/span><span class=\"T34\">(tamb\u00e9m conhecidos como <\/span><span class=\"T33\">ARRAYs<\/span><span class=\"T34\">)!<\/span><\/p>\n<p class=\"P13\"><strong><span class=\"T33\">Vetor <\/span><span class=\"T34\">(<\/span><span class=\"T33\">array <\/span><\/strong><span class=\"T34\"><strong>uni-dimensional)<\/strong> \u00e9 uma vari\u00e1vel que armazena v\u00e1rias vari\u00e1veis do mesmo tipo. No problema apresentado anteriormente, n\u00f3s podemos utilizar um <\/span><span class=\"T38\">vetor <\/span><span class=\"T37\">de<\/span><span class=\"T34\"> 50 posi\u00e7\u00f5es para armazenar os nomes dos 50 alunos.<\/span><\/p>\n<p class=\"P13\"><strong><span class=\"T33\">Matriz <\/span><span class=\"T34\">(<\/span><span class=\"T33\">array <\/span><\/strong><span class=\"T34\"><strong>multi-dimensional)<\/strong> \u00e9 um <\/span><span class=\"T33\">vetor <\/span><span class=\"T34\">de <\/span><span class=\"T33\">vetores<\/span><span class=\"T34\">. No nosso problema, imagine uma matriz para armazenar as 4 notas de cada um dos 50 alunos. Ou seja, um vetor de 50 posi\u00e7\u00f5es, e em cada posi\u00e7\u00e3o do vetor, h\u00e1 outro vetor com 4 posi\u00e7\u00f5es. Isso \u00e9 uma matriz.<\/span><\/p>\n<p class=\"P13_borderEnd\"><strong><span class=\"T34\">Cada item do vetor (ou matriz) \u00e9 acessado por um n\u00famero chamado de <\/span><span class=\"T33\">\u00edndice<\/span><span class=\"T34\">.<\/span><\/strong><\/p>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P6\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_1\" class=\"fr13\" style=\"height: 7.747cm; width: 9.153cm; padding: 0;\"><img decoding=\"async\" style=\"height: 7.747cm; width: 9.153cm;\" 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yWnc9wsJPQEmyZ5DRf9WW4XRaM3p6O1FTYoDFEtuE8yFt1ODPDbk11L6Ggfc+7PU1hO\/7zJ3vLYEN86xMVpM8xjysicxEa5E51ppITNBnxJYbV3LFA7lDmCv9ozjymnsZhsmTObm2OGHGbVM9hNPRkei\/BW2xUPU4it\/FcS2fwraoFJ3iMfGWAJwy2yTqjTTcgXmqCweVIwNagF91TsKsrhsNTAOIXRLlv5rbsCUoSrTeVm836ipf4bGz6NmU1JwXanCq6oKgMwVmAacxUWr7LlxITEAJd9kZKU9xyHYPrqYVoGbwmDZBDAmZq6+KWnh57sTPqtIVHltIXspuRX2xDuaIv1dZjpnWqgjkCm4hvBK8ir+DKcz2303P4dabeKRUZSMl9wWuOu2W2me\/1M5COTcHGdnGeJAUjayWGDy32YWxMuHWRmWhTSDZXVSFihbmQ9CFiuRrwjC\/6GzBhSTmeOwxS8Jh+\/KE1D76pXkUJ6NjRCZshOZqeXAECjuG0f5kKtjaIs1BQzS\/GhzE9fR85BaYY6\/JJqmlJvrNVUcG7EPOC3vTJtjchVraG9E1ZZrikPVgsyiU2nVY1lRD8na8FaYiqynUHrifw9BcJxU4ZoZB3fOA8P8Fzuowy+XSO9ME+yWHUSXFGD+v+gaR8ZM0V+8j9Z3YGhCEcl4RXsbeEua1P8wv4t9ELq\/lOMidnyaU2nmoF+SjsSMGDxz24HepHo3TUM5\/jdfsPsQqyOBe5BgZvZ158I68gsmSx2Y0w0kLzkWJcIt+gJW6K4VDfuJtYnPVU2KBTabrhN9tDglESBl3Lm\/uYSzT6BCH75fKIvxmZYvcvi7UVVhjo5TxWY05Vmp4IXlN5VnIqK1AHXeuI6Gn3hP\/WGyWOm9Wf6fWo51tqZRZYYXhgLn+r9py7EwQ9\/vJN1f\/NTiGfxJzme296GqIY8yfKG8JpX0U5+JiUC583JjGXZkLTtttlYo\/3c0B0Y3tomG6Ri8cNd3I9ca+Wz9pbcCNzFpkv74k\/P93g724nsKlU1EQjPyODYojlNbfuPL6Dep4WbALuogZUlMpDuFcrB9CJdO8OAO5vE6J4WyCeDdkrr42KozxJ1OIS7ZAv2dax2sjUpEbf6b\/u\/9pbsHW4FipQrq3NQsuwX\/1hxmOfrNUhWN5NSpKkpDaVo\/Wlpe4YLkVSjLh\/k5rQKecobhefgcSwiUK5GFpFw4E+YMt0vl1YXjqLhrGGNAKTDE5gNV2\/2AjK+s9mCwcjliFU8m5qB5GC5R9MygpYvB5jTU6AuUidgdtKC5zxmkDUc8FK7G5EjREQ8trZNf0h62pcNhh2I1jQTsqUri5TsPUFLtH0Ixzxr0XG+VuH1qXYSo2fh9qrpQ3Ya2rI5Ja0uH48ric7UPrN0sNuFTWMiavERGxz3HAfP2gniApGSnDvTwV8RVpSGxqFSbbcGirj4Ouh7QJYLXI3Rh+dawLqURo9COs1lrav01sriozVbDaaLlUvLdrIX7VVkU4Yy86OnNg4XEUC\/UG9jtIGruw1c8BL9nrqi5GWeew+zpRmfEcKw0Hn9uO8Nco6BL1TFZk3OrvyRmOuRprdgbP8puYxkgzUrNMsEc4HDiguY5PoJfFnGt5NEwCL2KR7FwvvZswLSlDG3vwUnOsMJJ9uWJo\/aC5DkdeZyMsZJ\/c7UNrH05EhILts03PssFl222YoCnvTWtO+jehlRGJaDbN6+vB6x3GnALim4fM1VdHJpSN2WELicJBdQl+9fKE9QvxdwsxwfgsU2FyUTg6GpNgIjtH4S36SWcHzsSxc4W4HbA0+uCEnNbxwcRKdEi9EteFivoadHyguWoq98ZNR4kJx4yxmmZ6H0ZFBUwVzNGRBOOg21hl9AD2NVXD6h0aylz9pLMdh6NjUc7WaV0leBV7HX9w28TmqrkyEA+dBg9HDCUlvb24lZaP2pE0jUdsrhZhiasO7NP9P8xclZlgvs5y6XlWI5HKFqz3dENC\/WsYeG6TH0aOftbdiXOvE1DUJbx6IXVFNrjgeQnbHM4Itc5kDX4YNEzJSIUxMC52KBzmm3VDmatxljegkV2AJrYnpikMD1wP9k+o\/3BzJYLf3Yg3iY\/6r2mL7VEsGMpsGZzAxYQE1A\/TkQ9lrv6jvB3nk6IQVpKIqFIr7OG+f7e5WoCZ1rdgy5YjXYXwj76BSf3bhqsduJKWIVrVfkTmaj6UtHfiSX79B5grES1VwdB8eaM\/zdnpDX9IToSXlI0Wwuvb3nsJDOLbgczVV0hK+G7pSkZlEX6yv98\/2fl7tbVY7uqObC68mK6mFFj5yvYCyZHaesyx\/BunooOR3FCFgqY6NHdzJXyZNdZzwyKSmu0Xjhq+cJYU2PWhXhd64aqTOTIEnciIGWL4byipH8RfERFgV8mqLXXDFbuBSdg\/616BanYOBk9JaUJ0BmME24bXO9TXy0PWEOf1u8E+XHwdi1eFQTCPuoul3Pdic9VeE4JnrsMwqeqbsNjmNC4wFWRJaxUyG+rRKU6jd9DHb0dBwkWJ\/bFv223CModL2GV\/Aov1ZSpk1S3YGeiG6JJgPHYZvqkRSucBXOrqGDvM0OSBfXorB5b80DuMPU4XsZubdyYW+0bXbGvmXBzZNwwlerq09mFXaDSqGhNh5iO9mK1cMXltnuU\/OB0TivTGKuQ11aOFyWstTRWMqWDXXxqAnZC\/w5RpWMiZAP0\/9ZW4kC3hzN5CV2MCjL3lD4PPcXwMzVT23rvhnvMR4bAm+73YXDXkamOt8UBv5ru1CL+xPwvFHLdXwEd9Q6nURPXujjK8jLqGP+W8BMFqnos23GuGMczNMLS5kq93myt2iRR10Rp5rRlwCv5HYttwtR+3M7NQzWR7XqE+lklNtl+OOTbnsMvpEjabSE\/CF6ab0X14NjQgLmKI4b+hpHEcF5hGIfuSdEd7Peo7m0V5m4NtsF1\/sR2\/ycxNE2vv6yLGYJO7It4OmauvkSpTzFEdarhkPn7VO4TbeRJr8ojpKsLLmOtyX0tme2yW213CIbfrOORnBY\/yStQ05yI+2xhHg9wQWc3ZmeoX2GW2YfBEVIM7MMh6Bf+8CAQkPRbOFfpB\/Q58eN1oLNTAVNnwQ2oR\/rC6B61C0foRRXnW+Edi4vEMVxP41ShgRcM+PlqKDDF\/iFfW5al\/zlV7KqyCzgxM3JUQ20u1zvGKKB39nRDe0IiahlREpmtja4AfClqHN+tK0NOKmND9\/fv9r9oarHS3QlwnWyEXwy\/iIqZLvE33o8EZXE\/KRGt7MswDT711DTJpLcdsfz\/ktXPVj5S5WomFESnC4SR+uTkWiNOKMfNjLa\/DqYb5vqsKYZEn8Su3v5+MTuBiWimT1wrgF3V10Nw8YRidHVhhf5nLa9bwrqxi8lo24rKMcOilO2JrS\/AyWA0aSe5wqyhHW78hbYKL23r8Mmg5EiZ91FdIGIV30FmEgOhbmCL1NuLb1T+hvd4Lxy23DHve0Peq67Ehjm3m9KK9vQAWrjehVRCPmHrxMgs9qKwMwg3xJHEZTbJ\/BsvS4S3J0FBoiG0mq98ySVxa7HSCNdHi9VLkmavVWOyoj1dsj2BnPnwir8i9n2\/TLwYPYF1RKewVLU97KDUk+pvxPTjVdQh7iapzVbFEa6DB+H+qyzDHKwS1glaUZj8fND9uaC3GONtnMC1hp713IjHZEbqRZrAtzUN5\/xBrG0LDL2LxEIZ2yasENPQvA0EQ8iFz9VWSA1XjIeYQqCzDZEtVBMv9YeE25BU54G\/JngZO7KTja9He8MwO6ZdewBksYudYWGrAs7JW9PZe52s8tt8lM9lYvv6nthda1b3o6kqAlvUQk6ll9KPWHhwNC0QWVw7KmqvxL\/ThUTnyl9QHw65zVAJnn31yTZI89ZsrNCIxTQ+7By1uKZrg\/uS1n1Q6anruw1TWmNhZILG5TTS59x3ImivWtJ1LEy9Y1oWSMg+c7X8zdDnmvdCEs9B0NiA13RD7pX6aaGiNMboB45JKtIpPSspcnYR5c4\/QXPX2FkJTbADUV2NmULwovKAJuTkaWMB+r8qehyp8hL6+FTkFtjiuPzivjTW\/jJsxPlJppOt3EvPZvGalDb8iD9y23S0yiBYPYZAkTk9j7NNeLmch3fn4QWM\/bhYM7s+UDw8VFX64Z7950NzBodRvrlAK\/5eXMEtTzuT1QVqAydZaeMU6i74u1FZaYC37vcZazHY3467JGwYRt0VvhQ7SCix2M4JP\/TB\/JZx5Np847MYfb3s2tQ5gkzmXN1SXYkJALBdZjrlS3YJ1Hm5cD3gLsvOtcUzO\/RxSGtuwPzIceR2ivmRZc7U0NBFNPWITUwoDC7G5YpeXOYDbwvvZg5bWSDyX6TkdSj\/pHMSpqDDksUPw3ZmweXke09htxudxLcqVS3NrnLfeOYRR3ISjydlolnjzmSDkQebqKyUjYo\/ceTH\/09iAbUyhNVQ1w2srgH\/0HemhnCG1DLOsTmClox7cy8uZdiBLC14nPcNWvRX4QW4cVqux0vU+thkvwalMpmLo5aGx2G7oN+k4\/ai1CRt8rRHQ3zPVg+wsUxyVLPCNrkItKxctiij7+vhobwjBfffzgyfiytGv5tfwPFdkcDoaU2D\/6iLmyTFYg7UC8+zOYKWDCSKamoY1bMnvaUZQ4IAh\/VF3N468Ea5twdCOghJHHOcmF\/+qdwJX45PRv5Rmew58Yx7I\/PbjYI0xPoFLb5h4kguuSpmrS3DsYFcrZzxUVxyu6HNxVVdimruf8JV4Pq8GEbEXMIWdW6T\/Dy4nZoqWXGDoas2DT9QtLB1WXluO2dZ\/M3lNH5ZhN7HP4zYO2R\/CuGGYmO9VdmFvgA+yuOMOC34tUvLsccbugMx6WvI10c0WUfVcvmyIgIrPP\/LfDpTQeKsbwvWYWHqZ+5kaexqL7G\/hwLAaGuzcwttQz8qQ+XWFt9GChOTnb3k2t2FLqD9c\/Llh43eZK6ahsyM0RuJ+5sIr8ubw7qfOXmzxcURkQ2P\/W3h5iTcwX3cgzaYHRqGxR5z3svHcUGSu\/k9lMZa6+AxMaxC0ozLfEvus3m6wftLZhm2B7GK0IjPaVuGN5\/5XscP+H8zjltR4uzZjras1Ijo6pIajCUIeZK6+OtqRk+8Hh6CTcs3VT5obcTw6660FMq8tH0GJejjh\/Leot0B2P+pbmUruBs7468GmKAWvUiPxuqEKA+9jlSIgWh17DFcOWgBwjsMjXPA3Y1rrfUhJvovz8VwRKehEXYkLznrdwjrZhTDZxRjNz+FSlNOAsRI0o6gqHFq+F2SMz2qsclODTUnZsCf6vh32ZzmK4R3+FBf9H+Ok+zksHMpo6ezDVr8XCK8sZ6ox1mAlwyVeG8ccDmKG1EKFnDR2YZPrHZzzN4RrZR5eJQTjTXvLO9a66gO\/k6nEEl\/ggqXkvtZiobc9Mlq7UN8YC6Pgq6LeIkYTTf\/GhUhvuOYnIbuNq8oYg+WTZMqc2wFMlz03jZ3Y6HIHD9NSUS42Vt1liMwOhGPcQyzRWorvhWE341jUK2QyJ9xb\/xL3\/dk0YqWMO6HuiG0txst4c\/wt7FlcjAlGp3A9PgiBxYX95p6tkAMSdXHC6S\/MlTcMo7ENq17cZPKaPuyK0\/AqxROqwQ9hUlCIuuooaIRr4qLnSczUXMKdk6TWYI3HU1wJ9B00v3B48FBeGQ7TV+w1PcAB231DDxWaXMadyGCkt7WKzEJDJNTCNLDPfBV+lh2m1DqKY0w6afX3pLF5rADOoSrwqW5HVbEzLvrewxGHvXKGbxdjvNER7PE2gllW+giMlZgyBMp5NsdaXMM5Pw+kMSb5mtgks7+UYK8F+1RvRp4wjdPELslFVbW2YImHkXC7Z8Eb4Yst7MK\/\/m908dcQ9\/NXwyPY5f4QF2NDkNrMPcs9lYjPC8Fz1x2YoCER3vIxAmo7IOAV4mWaFjZx80i\/V12M7cHecEgPRJi4147firIiJ5z2uIpV4vMXS20NZlpewNUYj35jxZaTGfkeeJEWjpzqDLgkGOGi90UsN2TXr5OJr7wSixxv4ZSfM6Lb24fV+CEIMldfGa21oTAJ18CNl6q4zulqwO3+n+lgC+ffdS\/gbrIvPIpKRG+ADUFTQzJcYwf2069wdwRX1w5MAm2uQhmvXWZfLXiTbIaHwdJxX1SJhpFYevsaEM1UtJLwePWISpSOc\/2VOcxy8iTMGwO\/Bkl5bngqGU5ChtkZzDlxYRWGAG3tufCIlH9MkcxglZMpWsiQo5YxgVZRcsJG+COhqXmgsG4sQyG\/+x3r6fSiuyUGWrL7YvQwyo6pPJhKpiIQKnK2P4r3RWSD9BBSTWUoLGXPLcIP8ZLnxdKZDttIfdyWDCeUFcIYo8w4SdRzQdlz7O2rQ2l9MqwHhTeEXvIb4csIkjTWJ8JZbl5jKsSaugHD2fwGniWFA6aPhTk3m0g9OefG9jJwYT4Ydqg1GCZhsseQlBNCGuohecjCXAs8DpEJFx0rlT+E91RQiDjJuVO9jMmqCoKaZDyhdKGbEi0a1npvmGczRfrZ1MqvFP1Adsdr6Egdb3hSfu2NeLZFwdFQlwCnmMHhnifHIKtN5sHsyoZrnAn+lQnLyr6iAz3tiTAIVpcq01jdCtEbNN+ss6MSoW+kw11\/ZQ2bfG6x3H4aUdxYgbJmians3UV4mWyN+5JxhTKDV0092mkkkBgBZK6+MhpLQxHTzmeK6wEEglqExmnjboiEQk2hl57V36VPEARBEIRiIHNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFfLY0FZVC5\/hj\/DJejuZb4rpVERq5sARBfL7k+Qbh+Ho5z\/HRUETmdXCh3kGox+D4Yv2pg026xVxAgvj0kLkaDn194PN7hQp\/qo2pN1LQ0ingNhLvQx+jEH6f8LMfNp1bmpFiYY+fxz4apgxxTicTBQJmX1I7IxRFX68o7w8lQS8XkPg26eMhLyIWp5fJez4HS2mcBZ76lqOWiz4UonyXi9uznuNXOfsZSjM3WMMokcmXbJnA7etroi8lBvu3aMi9dlZK55PQ0NYz6DmVUmc7ylPioeHezO11ePSXBdkpuPWXnvzjj9XFbc9KVLZ\/22XDd9wnIUtfL7q7etDR0Y2OyGCsWKLSn3nW6ZShrZtq8g+hr7cPt2d6IpAnAPMn+B1tKAgJwAqJh3QkWnc5Aq+Ker\/KwvRjwlZAvewNkKIPPbwedLJ5n1GElhkWzJaf7qzW61eKnpNuclnfHEyLpjo1Ew\/3yc8b8qS0wgVmkXUYur+KKXs7exD8SAuTJsvfx7ulgY0nopDQxQfjBb4i+pBk4Yi1C+Vd88j0x3x9nHdr4vb7dvoEAvC6quCp5oyVcvY1lI6al6O4QQCmmPnm+I77JIQwlUoXDy3NnWjKTcTlbToYNyjDPMZ5r3Z08rkoxPvBFMq55uaYsjcCbyrqYXlqII2Vxj\/G79NVMXWOGiNVTJrxDGOk7oE8GeGSaS6Kv8Wn+L3pREJ8MZLT6tHDplufAJ3tPDQ3FUD3qAlmyk3nITTuMcbfSEdzM9Ni5vZOfOWwPc3V5fB4ZiE\/TwyhX\/cHwju1lduJLH3obs\/BgxUacsrekWvuzhcwf9ON7q9moKEFfo+ssWS6\/OsdkWZpY71WIWNl3wZzj3ndyPQLx+lNcvYxDCmt9UVgYRt431jR\/B33+U3DZwxVU0Mbamur4fLAGktnyM8krJSYSlw7pRPUSP9wuvOjsXWidPr+MuEZZm2yxsNAceHbiZyICBye+lgqnDz9eTwInmkdTHFADJuCDBjZJcIlph612am4f8QQk+Sk7fD0BBNme8C3jYbMvwUEbfWItHTBApk88OuEJxgj81wP6DGWXo1FVFE3txdpBF01TENLF1MmyYv7fpq\/2xVWiV+J6e8tg8nfppgldY1PMWmuBmYt1MSMmU\/xyzjJbW\/RFA2svJKMCm7Xg2E7G2oRYOCOtfLi9+spxs9Wwwzm+LPmqWLcpCdMPSkdRmmtH16WdoD\/DRXO33Gf3yTNLV0oK29GmLk7tg93vsA0N\/jW86h1rgAE3XUw3vO0P21\/maCC5Xt94V\/NBeDoKC2B1TUdqfsgT0qLHaDhX4mh2sSEHJpLYH7LCrPGy0\/TsbM1MWepDuYvE2nOnGf4dYiwQk16jll3MtBOD8hXTS+\/C7mRMTgjVW4+xu\/TTLBllw2275D8fkBKY3VwwTwPhZJjgoJeCPrY+VF85No4YeGcgTJBMdLCjstxSOj4Ckx\/VQbuHtDHBInrU5rqjBcFbehiNld4eWDder3+53X+Mq2hjepkday8kIhS0Z5lYI1VHYJM32WsHmHMNFtoBlehgY1WlwvVM1ZYNlcZv02QbhAr\/R2Nwnr+N9P4\/Y77\/CYxMo3BsjUGIi3TwMSpT6Qygzz9cTkFddQyVwjsOH62jRUmMunK9lgt3jnYWLG0FxfD\/LKW3PshKTJX70MnXlt7Y\/tCmZ7BaWqYu1wPN5wqUdnGBWWo8vPFuqXP3tI6foJJ82xhX8ZFIL4+egWozcjBg73S9\/63qdo4dD8Bnv4JuDaUuZpoiSdeZVKT2Xn5tShu56GrKx+PN+sIywN5cT9ISy1x1b4UX\/p7SILkGBzZpilxbU8x5WoiCurk9wQCTXA8w9VxQulj0RJV\/C6Mq4JFW4IRK6ch1NvTjiSvYBwcxtyuJVdjEV3cw8UUUfsqBIe2qA8yWEdtG9D2jTS8vuM+iaxEnDvw7t6RTbplaOqkgSfF0IeuthzcnP0YE5eawjCV+1oSAR9lr1NwfYjCWlJKy19A52U12rmoxPBoio\/B2d3qA2k5XR0Lr8UhqZRtCw8mTk0Pk6dIp\/2AmHs51xJWhVxg4uuirxe8qnJ4PZGeZ\/XrFGVsvBiCl0VAZXwibu2W31BVWukC0\/BaxtJz8HkI1QqHf1496mNDsHa5qtx4g\/UYv07XxLJNxljDaPV6A8x\/a4+XCjZfCEPEu15R\/MypCAjArjXP+69LaYY5tCMb0TJcw9Lbg8a0OPzDpNmqdcbYtNsNHpXcNjGseU5Nx5NjQ7+RKKktj1KQVDW4TmQN1t71Khgj0dOttMYHEXXfRu\/Vd9wnkZeMK4f03vHK7zNc9GpBm7RJJz4AAY+HkMf62HAvA4M7rXrRVVmKF3dM5dyLwRp\/wA8v3lC\/1YgpzcTDk4ai1uwMDSy+HouE4v7qbxClDnaYOn2IXt5xjzFhlQXM5Rll4gunD\/z2RsRau2C+xD3\/dYoKlp7wg32iaKyvJTMDyv9I9q4MaMKRIHintYHf2orCvGqkhkfh9GZPWCTUI8vTAysWPZMbT0pMHvt1gRH2P0zvLzN6WlsQY+KI5YsH3uqW1fxDXnBI+5K7TXoQZ\/QCa+cPXNPkS3GITShHZkYlUtOHVlpGFSokeqBZOuubEGbqA48S7guO3uYaBOo7YLZE2r1Nfx57Bf\/MDrlTZeK0jDFnpnT4wy9avrI3OOXzHfdJ1OVC7R9jTJHIBLJSGmsCneR2dNJkdsXBvuKbnIGXNdz\/\/fShu7MRkY7e2CjnXgzSdHUcUU1B2hfeMv00NML3uSNWTlHGnItRiCp626KOfKQbWmLKEC8Y\/DpVF7usy7mwxNdEbw8PeZFROCU5z2qSMuYf8Ybdm4E88zZztepcMGyDyhBk6oFNK0Q9MEpjbWDAmKuCAB+sXDzQKzOUlCY+w1ItmXHnPlFDzO2hudw4Qq2xxwPvQQXNl0NPGUxOm0mZnm0PI3Bjjw6mvuMFgF+YNPvHogwJiYySK5Be0cW+yYXG4lwEp0mOlfahKTcXWv8Mr9dKJCNc0E9Fch0PvP66kYfK7CrY3dDDjGnS4ZXOJKH1G3ir+zvukxiOuZrmCq+qTqb9QHxs+F0dSA14haOL5d8LKU1SxbxTIfBKE\/Va9fQIGM9GDngk5HsH4PRRNxhH1OFtK980l2Tj2W5VjJ0w+D78usgER0\/HIo0LS3xF9ArQmJOLu3sk7vmEZ5i8xQlPvMtQmV+G6NhioYJehOHcbjWpvPE2ic1VS1oUtq9Swy9ywkjq18nPceUlVwqzw5TNDUiOzIaz3gvMkxO+X1+6uarIwL0jBhgv79pGoikqmHMpBrFvypFZyUN9g+RECtZAx+DkAjnx3ioNHHwSC49wUR6Ijo3DlbVaUhPvxVJaFYSUb6Dr6jvukxiOudoZipT67nesC0J8MAI+qpLScGW7\/PsgpclqmH\/AFzbRddxcq24UFTehvp4n\/I8YHi1JyfCKKkUu66y621BW04kOyYVpeC3IeF0Ew3OamCi7sONMfez62xH\/2HzlPVad7SjMKkVoRL6EipFV3jH0ROnmesTFFkrFCYsoRelQnYMCAdorKqXCh0YU4nVqHZii59PAGpiacnjK9gpN1cRqplHj6ByNm4ck5uyNUP3mqqEQWn8bYvKkty+7ojTxKdbcSxalTWgWXA2dpYYph9LvGxzxPKCeu6gvj+6kWPy1U36P4Pvo99la2KueicRSiSkAglYkMQ2tzXLCK0pKYx3g3kLm6tthGOZq4rUUVA175iDxXjAt5I7SItjeNJF7DyQ1caEeNp17BYcosbFiCqCGAviHFCOziPoXR0RrF1q6eoSvc6O5DK7OSXDzzMTLkByRnP2xbYGK3MVclVa6w5YJExzKmIahp2p90XTUNyDNOwQn92rLXL86dt8Oh2tiE5pk5gs0FZYgwtQZs2ZLzyNilyO4bJeD+BJpt9Tb04PyhBRY3jWTCs\/O9Zy3yRGageXIrx\/t8qcPPR31CNN3enuv0AdIaZojLJIawE4JaoiNwckdavhDTs\/ou\/UUv09Sx4x58rY9wp\/7PWD95sttdJX5B2DvWtGw6Yy1Fth7wgl\/nZKjI0aYNuExk8\/kp4OUZmhg5Z3XyKzm8lVHA6Jt3bFQXlgFiV0r0iCPzNW3Q2sR9M6YYYaczCDWVr0y1HfQm4Ifj150NVfBR8Uef8pJ\/35NVsX8Tda4a5aKJKlefh6y3F\/B0DEbKXXcV8R7Uezhhc3LhzG5WEJjJuvjqk0WAkJKvjKT1Y0MxlgdfctaeLNOhCM0rwMDHVgd8L1jhFky800ktexJkcSbrX1or6+A1k75YVmNX2mFe+61TC4fPXr5PcgJ9cUWOefzYVLD8j22OH7EGLN2+MEjs6X\/unJ9XuLCPk38MfHtPVgDeoJxMw2w54I3Ll96iYvH5YV5jg1MQ+xVFXeQLw4+0v0i8eSWM05fcIVuYA1qhur9rM+D1g0P7FoxeDFPefpjrj5OGpaKpgN0NyHe2XtEP3EzUpG5+uaogt0Vq7d0L6vgincTWj5V1\/w3gIDXgWRvD6yXm\/6snmLqEiPsuxUGu7AaYUtXEl5dAQwvu+OpeR6KaFTww8hNwN\/btIbxs0OyeoyxM4xw26EIxW+bF\/9F0Y54B3\/sesvvK07cFQifjFbGhompg+1JA0x\/y0TjWRfSmFBietFak4u7S+SHZfX7IjNctiodtXXc2B\/prU1Jx423GL6RSQ3Ldtnhn2seuHgtAr7pTWgrTcVl5m9\/CXPF0hAXi7t3vXBihwbGyO3Feozfp+hjv3BfPnionoECxqA2FhZCVWb9LaFmGOOUVg5Tyn+ptCG\/oAUNjS2oqOxER8e7zUmWqz2WDGu1dmUs3e2PoEY2VgeyXoXjsCJ+XmcIKY21hE0lmatviLebK6WxZtBNbsUw8jTxHvTx+SiNScD5LfLTn50fsO6YN3Tsc5Ar46q66+uQEJYGM2VXbNnsgKeeZRKVFvFetBRD5x8jTJ8o+n22s9d9cP0OK3usmvbsHUuWPMb4Oaa46zswXPulU5+TDwcNR2xbp4mxUteqgTWHXuCBC2MmG6QnXhUGR+DpTUvMn\/5UZpK2Lg7c9oZepHTq9HR0Is7WA6ePGWKyVPjnmLHUHOd14xCYM3qthp6ubpicHDzHZ8w0VSw75MblB1m54cgexlTKxGGlNNYQ16zzUSo1Yt8IN\/03SGCMg7wrY4cJ796Xdxxf3H+ehnwuHIugqwPp\/kHYLbFUgUjK+HOfDyySWriQXyI8tLbywWsugg2TXqHMtbx7wfkSPJ4\/vN6\/aeusoBnD3hgByt4k4\/pG+eEUIaWVwUj7Bn4H5zvuk3iXuZrtBq+yDomWKaEwegVozcrEvaNyXv+dpII\/N9nhtsFrBOWKit+epiYkh6fCxj5BKKPnbtixRll0n9a6wjS8blSHTr5OuhBv4IitBx2gG9KI5v4ErYPfdQtMnPSOXzOYoIw5+0Lw5mtxVyydjYjzicPzB\/64068YBLI9MFyQQTSVwk4zGPck4vz7IBnZQ9Utgh405GZCWyL8nQevYORY9JbfgPs4dPP4Mtcq0kPNSHikyV9gFj31eGXuPsSwkgoOq6cjXdhDMkBOeC5y6tq4Z7YVyb65SKvqRs8IGrK9PB4Kw2Nx7cDgifV\/zDXFJcMCOevofXl0ZiXg4k4T7L8Wj+iKrnfURw0w2TE8czVhhTnu+ovMZ2tBAQzPK27ivKyWapaB30vm6huiHh73bbFU9k0oTtNOxCK1jt4UVDx96GmvgvslI5k0f4JJ8w1x9FEkbLwLkJaYCTPLOKH0VbxwYKP8xQInHg6Ee8qQVR0hQUJWCxIK2oYsoFsSIqDuVoaSBplcHx2AGbPeNR\/rCaYutYJ5DheH+OJgqz8ZH\/RuGsrhqmIr0\/M2oDU34xBdKt3l0lrRhIZO8Q8rN+DVQ3ecV46EgbnoefdIaWd\/flAufMZUZb+Kg7FBKK7ul\/PG4gxNbLgeifCCr6G51YMMe09sXsI+e\/o4+jAar4o60DVUD1ZLPm4uG565mrLGEioRnGFua0SkjSeWyiz+qRDNNYdpWg++AW9F5mqANoRoOmL1EPMqduiXorrtG8gRo4ygpxVRNi5YLZHWY6Y8w6yV+liy2Azn1aNhoBWACwd1pe7HUFp5NRphRfRG53DwcE3GjYf+sI+skvr9wH7aqpFVwkO7bL00LHP1GFOWWMAki4tDfBtUFsP6nuzbjgOasscfLoktb18rsCwdF7ap43fuZ1NmH\/WHrlEUDEyYskBGOtoh+HvD4OMIxRirZRdC4Z3ytfxqQz3c\/7XGov6fnlLDtiuBUHMoREkrY1i4UELK8mGi5oC5w5pz9QwLd3jBu\/9ncASoz8iA8tF3\/57ryKSGHao5qBxJl+QXzHfcJ\/FWc6WGq171aKSxJoXCTpjN9PEdNEdizNRn+HO1HqZJfDc8KWP\/8xQkf7lL2YwqDWlJeHBMG8u2O+Lqszj4JTag8Z0rWDQi\/JENJk1+14+cswbZC4H0a0TfFN1F+TC6aiAnP4ikNMsW6v4V7+gR60K6kT1mzHj3D+kPpd\/naGPrnVj4pH5FGbA2B0+OGQ7+Yeu55jj\/JBgaeuHQEuuaKcbI\/GjyUPptli6OPM+Vnuzf3oI4R39sGs4izsPUytNRiKjg4xtYnF3Id9wn8RZzpTTWHLqJzWijMUGFUhMbhxNDtTrfQ0pj9XHJNBdFNDFueHTVwVvdCcuFywUoY8UhV9xSCYWqRSZSK+T8EkFZAUyMPbF5xrsmtLO\/N6eGLbczR32eEPEp4aM8\/g1u7RTNf5QvTRzUSEO6zOT\/QVS8weEtjrirFQ6dG2bDNgrsHM25O1yg7pCKyMKvqyCoCQnGwf1W2LNHH7Pf+iPVI9BEZcw\/5A+v\/ME9B21VNfDWcVKIwVp1JgiemSObR\/el8x33+W1TWwHvF6H4e5cupsudc6WLfTd9oR9aj\/ZuGhpUBH19fVDZ9\/6rOoukgTWHPfDMPBbGjEzM0xCZxZhg7hjEu+hBZVgUTm+TuQ+zDHHgkjceKAfhiaQummHytGEU6uOfYupWDziP4pttxKeGj7qCApjetMSSGXLyhIQmrbHCyVsB0PcpQ1nTUCarGf4mqcjt4KO3vADmluwzHjzkz2GNna2BAw+YMNaJ8JBYVPjroRWxPm9gaZeNN3FZcNV2wqIFbzOxw9AUVcw5EQS3iNoh0+vDDZYB\/lENgx9TFnS\/8+3Gr4vvuM9vktjgHKg8CsC9y7ZYvmToX1MXa+o2J1y76497j5KQ1iUQTvgk3o\/e3j6Z17UfY\/yfRjiv+xqWtsOTlW0awpIb8CW\/YP3JaS6G8XXLty6eOyIxxmrCejcYhw5eh4z4SmlrQXpwNM6ftMRiKWOljGX7XfHYRP7za2kej5cZTWgeYii6raoZLUw5MVDOdiHdV85+GNm7pyP5C\/7ZwHfTgbLydrS0cA6lrhL+3snQvm6GWbNGOnz6FJPm2eC+U8qw5qOxBivKLQjnDxlgktz9ydeqM8HQMctFTov4ZYVvi++4z2+SnJQKuDklwn6EcnAqREl3L5mrD6CPSTzpdE2Cq08BCr++JudnTifSnWOhqx0KQy13bFw9\/B\/cldWYSbo4a5QMt\/BaMlbfEl0dKEnJlXme2XIyDa8Sh\/5NxM7yWhTVdqL9G+vRUCQdxcXw9Upm0jsKl7aoyf1BdZEe47cpejhvyN6bZHj4lWNEXrS7HQXJeXB3isOTS1ZD906uc8QjvVjh\/Q\/P6UDHO+dwfr18x30SBPGNwiusQ1FNKxrZHxmOyIKzWwqjOPx7SG+IYXJpbX+SAhcmjptXHvLJHBPEJ6AbRbFZ8PRgn93BcnFLhbt3Pgo++Plkh3\/LEOo7xHGiqlDbSm9rs3zHfRIE8a3SzQePL5Dpuu9BRXohggIy4OXzdiV9DaszEgRBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQD6qubJP9cZm+1MkEon0Rco44QVXmslHK9Zabjyxylqk1r2WQtArkBuH1eWAZ1wo+QTkRciNRyKRTiEgP5J7Uj4dH9VcKUea4D\/K80gkEumL1M0gda40k88530dy44mVW1\/EhRwMv5cvNw6rlVZHuVDysUp2lxuPRCLNg3WyB\/ekfDrIXJFIJNIQInNFIn15InNFIpFIn7HIXJFIX57IXJFIJNJnLDJXJNKXp2\/SXJm8cUJlay1pFPR\/yvOl0n6S7ga54UgfT7eDNaXuASuzRGe5YUkfT7n1xYPuwyKzfXLDSqqF9\/Yf8mnqapUbTyx+79t\/20VeHFZ1HY1cCPl09HTKjcfqjM\/DQdfqkhEgNyxJcSppqhiU7nNNdskNS1KcnoQbDkr3b9JcOTMPOTE6yJqrKfqbuC3EaPEswljqHrByzQzkthKjRSuvfdB9WG55iNv6dXH9peqga31VGMttJT4W3YKeQem+0Gwvt5X4WOjE2QxKdzJXxEeFzNWnh8zV5wGZKzJXHxsyV58GMlecyFyNHmSuPj1krj4PyFyRufrYkLn6NJC54kTmavQgc\/XpIXP1eUDmiszVx4bM1aeBzBUnMlejx9dqrvr6+iDg94IvIUFvH\/q47Z8To2qu5KWLgEkXJmGE4oJ9LHoFzDHZ43H\/f06QuRp9c9XXy+Q\/ybw4Cs+oVNnA5EfmkKMGmatPA5krTqNvrvrQyxegq6MbHUL1oKv7PR66XgE6O3vQ0SUYiNsnQHfP51iViPhk5opJqy42rfrTfEC8t788NQx4yAmJxplVTzFm\/CP8PPYRfp2ojRPqqcho4YJ8RoyKuWIrlO4uFKem4sYqUZqIpII1x18i4HU9CtMrka3orCoQ9N\/XttYKaGx5islH4lDGbf6cIHP18cxVH2NieJ2yz3oN\/PTcsG7CU\/wxTRkTpuvhrH4mct7+8uWH0cc8A28isX\/cY\/w66Rn+3O4A9dCPeUBpPqq5Yowqr0t+mcrWad1so4YNM0S5y4bhf75V1QdB5orTxzRXvWxh39qJpiZJ1SDE2htbmIdtwiw1TJtjgH9Uk5E2koqY34OW0EAsXKAMpXX+CC1pQQO778xo\/GvbwAX6\/BhNc9XZ3o1mcZqHBWPtclWJSn5Ap12ZtGv\/YIeF8pgEXN\/5mNmnOg4+foPkZm7DZ8ZHN1eMseqoqob7Pb1BaT0gVWy+EI7IOi6OImCeieYQP0ybzt4D7jgTn2HG43wuwOcFmauPZa56UPomCbe3qmHqHE6zVTBu8hNhnlhzMQxBRaNTq\/e1NOG1iR3+WGmBU3YV3Lejx0c1V7kpuPGPCSZNe4pfuUalWEpjdXE\/uAHN+a9xaIEKxkhs+3nsU0xk7snsRXZwVGirpw98Xjdam8X1rEgtHXwwXntUIXPF6eOZKz5q87LxbJ8mk5E4zVfH5OlPhZls6V9+cM95n4dcgPbocOzaps\/sUwOTJj9mMjOTaaeoYvbRWBSNZr\/zCBlNc6V5wxPLmDSfNkP88D\/B+D81MGueCv4YL1EBM1I6n4iWbi7ie9KalQGVU1rM\/r5tc9Xd3AhfOcZKacJTYfqLngM1bDzjB1dFdl3Fh2C5ci4CbjyF0jjRMX+Z9Bx7bT7PxgaZq1EcFqwqgdUDC\/zOlAMz93vBIroZXR+926QPrZWVcHxmh2fBrdx3o8toDAum2rpg02LR8\/brhCf9z96yJzko9vbGnDnP+ssAVkpjXfDyw9uyg+ltRaiBK9b\/OXAsVguvJiCxvHtUpwaQueI0qsOC9VXw0bDFuAmPMHXrC2i8rEcbb4S3XVAGY8t81NaxbqAFnrfMsXKVDhY8zgbvMx4SZBn9YcFexBtYY+lc9qE2xPOIRrQUv8GxRaoyralHOO3XI4rS14fejg6UlTf3q7yyFbWtfNF2IX3o6epCLbe9srYDrYUFMP\/XDL8KzdVrxJR2oFocv7wNzR08tDS0oUr4fztTufLR3sm0qgTMPeN1obqqReqYDZ0fZz7IRzVXfT2oyorGQZm0\/XncE0zf6gidqHZRuNoKhAYmwuY19z9znzpbB9KrqqELnUx6Nda1SqWJWGz6tfV0o6mmBRXC\/zvQ0StAW1sPXt15NmCuJj\/HIQfO5TL3ld\/eLrWfyhpmP5Kmuk+ALuY82HvUH6auE+3douGNLp6AOVPFQObqY5krOc8m83xl+oXhr+WiRtWsA76wj29Fj\/hmMnmpQSav1bXxwZe82YJupvhuYfLaQJiaNjZAL9qaeExTmqM\/n9UiOycdfgFM\/qxqFe5vtPn45qoXyVbO2LBI9Lwt22SI6TOU8Qvzt9KxSJhc1sDUqY\/w2yRRryErpbHGMB36RwLen6ZS2D5xwvplOpgvoQUHg+Cf0woeF2w0IHPF6eOZK\/Yh70RVUT0KGBWXt6CBqTAKo+JxcY0os03b7gL9V43o6n\/IeaivbhKGF6uysZt5SLjtLLWNyC6uRx63vbyxB4KOdhQXNwj\/LyxqQwcXtLe9TWpfxaXNaOziNn4CRt9cNcH9phnmMg+40qQXsM9vRWNmJPYvUB5krn69mS0sGNuqqpFk4YSZy\/WxaIkqfme3z9LC2ifpKKvqZB7SXnR31CHM1gebuLhTNjvgqWMKLB\/bYf5YTRx5GgJdbT\/smaeCsYyR\/m2iKa6Zh+LOCVPMZsIrjTXHA7ckGHoUoiSvBqU+vliz2QiLV2thykRRT+RxqyoUNyq+ifcxzRW\/rQ2hz3Sl0lWoabrYdT8NkgMj7e2MOWrqZP7qA6+tAi5PHbCUCz\/7iB+sbcJwbr8uxkxUxswluliyRg+zZz0Tzmv7fZIN1EOicXGlBsYz4ZXG2sIoKRt6doUIu6vcb67GTFHDI6YOZ+d+tJaWI9LQHlOX6GPhMnVhvOlrzKES3IL6DuYBZOcwVpUIexrYeyQ+9xm73aHrW4hAj0xEJtRAbAc\/FDJXijVX\/G4+6srYcq4MAXaiZ\/O3qSpYcSoQjkmdaE5LxeO\/NLn7qo4Dz5KQ3NCH7rZ2VIaF49QxM8xfqYMZ058xDaRH2Pk8DXHF3ehhGz98pvHzOgJ75ioLt4nzxirlfBQUFMFMLUmYt4X5rKwCUUYvMGu5HhYwjbjf2LBz9bFDNRMV1V2jWsl\/fHPVhpcqdlgxU5QeC2\/74fJabUxnnlF2aHDp6qcY86cG9uzQx5gJImOrNFYf+nlcdCHsHGQeqrk6qqi0CbUtTEOmuUWq7hKrsKgJ1Q3M\/WxuQ7nw\/2bU1rWhuka63pRUWT0P3fweNFY0oVj83VvqzQ+FzBUnRZsrQY8ANUU1yMopRbB7ALYzGWrMVGUsO+4Di\/gOtOXlQe88O3zEZkhVbLsejagapsJmHvLyiGhcP2OJRWv1MWe2svDB3HQ7Fi+zOtEp7JUSoKUqHffWa2GiMP4jLL2TjHg3b8yb9hRKUzSY1kMw4piQrRVVeGNmj2krjLBynRYmMWEnLNDDHc8GVLZ8jH7ZdzPq5opfDO0DhpjGXLvS5kAEJJXB8Y42pjBmS5T+A2LNlaCpAUZ\/P8G8Ld7wLeOhIswfi\/vDqGL53mBEtrYi0du\/31j9Pl0Vs5foYOZmPSzeYIAVYw1xXi8bxcyjGmvphW3zGLOwUAOTZ6n0H0ukp\/hLPxtGt8yxdpMB7vk2obkxC9eYAllo6BiteJyH+g8crpTlY5orHlMgOpyVvEax1LDqcCheNXG9gwy9PB5amjvQ0taKKBsfbJ0rCjv2T9Gw4YSdRli\/RAtzFjvDPKaOMTWt8L1vgYXTmUJ8uTb+mCwaXh\/QM1wN4iHPzKzfXP0xzRoOlX3orKyCzgnmGdz\/AlapXSh+HYadXLzxy8xww6kaLQ01CNR3xJ\/C759i4lxtLN1kjDVrdJhzMMZ5w2zkKcpZMZC5Uqy5qiusgMpBDUzg7it7D5cf94M310vSmJKC+0fVuW2PMPN4EDwSGhBj5YmDO3Rw3iwfeZXF0PnLGNO5MAsvxeNNeTe6cmJxiGloiRpkKpi3wQir2byxXBUTFjvBvZI5ANMw66xi8tlfz7F0XwBelrUjz88HC7l9sYZu\/V\/hiB\/Fxu3HN1fN8Htii2XMM8leo9JfkbB9aoFV858IG4hsWs19nAbnK6oYN0mcDo9wLZSLztAr6EIB8zzu47b9MU8XJ7SS4appiwnjn2L8XB2s2GSEpcs1MYnZx5gJuth\/IwBPnr3AcmEcffx1ygFHzlpi4SpdzGQaYCID\/BRTFuli2QZjHNfLQnJGCh5s0u6vN5fcSkKcqzcWzODqzY2ielMRkLnipGhz1VbbBKN\/tDGZu4nsXJ8Fu1zxgptX25KTA81TGty2R5i2zwuWEXVIcArEib26OK2fgbSyMphfseQK+keY+08YQnI60NNWBbPzhpgxRfT9lGXGWDSPaR0cs8HBiU8wZk0I0tm3NJpZk\/Aci3bawCSZj8a8GOzl9vXHXF2cNC+DRD03aoy6uSpLweXtOhjLXLfSvkA8\/UcD06eJ0kFWM54Vo9bZDmOmKOOMbSVS3hQhQMNKIswTzNnsCOOQMlhdEbeAn2DZUR\/YhxTB4l8zbt9ic9WGCBMPbJ4tji8tpcnG+PeOHeYtNsI58yxEJTHHtHfDDKZw6A8zVg\/a2dy1KIiPaq5aWuF6WXqORb\/mGWCPcgpS0pjrZBTjHQ8r61j4hGZD\/bw+F+4Jtt2Nx4sXUbi0mymQJ7BpYAnVoErUs72QjBGdL8cYs1KaagnLvB7km4vN1WOMne6NsO5uFNjYYtI8C6gFM8eOz4PrMwuJuM+x\/KAvXF+Xwu6+MVc5a2PnpXD4sOcaGANl41i8SFSgs2Igc6VYcyXgtSLB0web+++rJnZcikEia2a6eUjzCcWRteJtTH7Z4QUjwyBcOWiKA49i4RvP3GuPl9ixfsCAKTH54I5fHbL8fbFu\/nPRcNdYG+jFlSKZzRuWDlitXy08fl9PNwptbDB2tiYuO4jymZtUPnuCRXvd4VIgDD4qfHRzxS+D6Rnz\/p5epUOhiE9gTOxebUxgnt1xC3wQUFsGg71q+ENi0vu5AG6ItK8XbaVZuLpS9D37RuXMFYaYy5jWabvNsWWaLnbfT0M5upEfEYszyx4JG6kz5w\/cI5GeYPu914hLyYXaGRNhR4ISc\/\/PWRWimH1sO6phftEIM7l6c\/Iyo4F6cxLzuSYYaQqcg0fmipOizVVvTycyQ0U9VqIbr4Y1R14hmu1zZB7A3FcxOLVRvI3RRmc81XmFx\/+YYduVUDhFliHB4xWObBf3bokyyiWHUmQHBGHTSnEPyDOcd29EhJkD1jIthV+YCkVprCteMuaqwZUxCZMM8dCP2Vd8gYxJeIq5m1zgUiI639FktM1V9+tw7JQoLIcUU\/HrvemD\/1U521ixLah5Zjh5PxkRmXlQPyLepozlxwLhWdiDmuQUPDrC9jqJzVUtvPpbV48wcZE+1uywxPa9jDbpYPKuADy6qIv5XI\/NULoSwl2MgviY5krQ2YEEYwuMk3MdgzTRACeepyOMKTQvbRV\/ryYqJKvbkGzvg51LnzF5WmyuymB0xBgzufhTV5hg0y4uPTdo4re9kcjtFKDQYsBcjZvvj8jOTrheEO9fvubufAHr9A7kRsXjNru\/veZYu0YLU8St7dV2+Nc8A6kFzWjslJyI8\/6QuVKsuWooKIXaAen7+uc2e6i4M2VgYBzu\/aMvtW3CAX88vOeMg6ul48jquHU1atorYXPxBfYJ84YpFs7kXiJi9OvfUXiTVI6Mkja4XRwcX6jxzzBxoQUuKKchu2f0Rg0+urmqzcGzY4ZCM8Nep9ISD7hltyDRzgErl+rgLyumEV+ThvPzpN8YXCVhSAusrbnvH2PqcjOmAVQPl\/v6mCU0QprYfDIWqehCTmgUTiwY2IeklCbp4axBFvKTUnDt6MDLNNuVM5FR14f2yGBsWS1+W\/wZzrk2INzcEesWDNSbAf0T8D4cMlecFN5zVVMPo6PSN3\/6anPctS9GtH8ClM8bSm0bv9MdNx544\/Qm6TiyOqBfCCdlayybJ\/qfbVWdc6tCM68FQXcMMX4S+8CLzNXL64PjS2r6GgsYJHEnPIqMtrkq8fTCxmXinhQ1LF2jgd+5V7LFmrDCDHuNGafZ14fQu88Hto17gj\/m6mPbYRvsPeGC6\/pZSM0rh7dbAnTPSizrsMgEx1QTER3yBiqXzTFdbK741XB97CAaVpyphTPGuchv4k6sIANPX+TC+Zk5ls2XfnNRWhp4quD79FEntDOFeX1qHP5aKpGO8jTxGcYtt8W\/VgVIi3mNa7skhvjW2OO+eRqinYNwcKvmgLnqLob2ISPhEO\/Pc\/TwwLseTeIhlozX+MeyCB3dvSgSm6txjzH+eALKO7vge+Nt5\/MUi\/d5wr2gB02VjSgoaEUH01IuiorD1W1q\/UO0rGYcCoBrUhsUUT2SuVKsuarJKcX9d5Sh\/ZqhgaPqqfCyCcLR9dLlgbTUcNm9FvXNrchOqkMdk7\/60IqAe8aYys0hYqXE5Od1z\/PhdlMin7ENsgUGovLjb3fcNc1Gck45olPrMFqDBh\/dXFVk4N4RA+H8RWE6MM+qbnwDWmrzoa3FGMmGbnSEeGPGLOkh\/DG3coTR+cyzOWBIn2DqMjvoJbejsSgPGgfYMlZsrlqR5P0SO7j44+ZoY9UuJl3ZtN1lhPk73aDpz9SF6Ym4fEiH298jLL6egDdlPUg0scGK+aLvlMYyZbFLJRrZevNfI0zg6k0yVx\/IaJirlsp6qG4XZ5h3aLo69j6Mh4dTNC5sl51DIik1nLEpgZ++A1YskHio9\/jD1S8HoYaOGD+FHecWmavIB8oScWX1BH9ucIT9KHZPixldc8VHrL4tVnA9Q0pjrWHsEo4zl51x+C+Hft3zaRQtwsqYq1JvDyyZwaXThOeYsdsfLhH5CGX00usNnl20wPYrUfB94YMVi4YY\/hKbq8ZimN20xAzmO6U9fnBLHLyQWUN8JP7arC58RVzevuZsjUSSgl8Z\/KjmikHQ0YFEWzes4BoBg8ROUN\/qiNPPYuEZXIyqvCxonNeXMjFCTXmGsROf4LexpnjsW46aygzc2aMnHLZT+jsamZXypwb3m6vxTD5\/XoTenh5kO7tiETcvRFZ\/zNTH38+ykd9YDV9tDxw6FgAb9p4HxOPJOVNMlQg7easnLKMbwU7D\/1DIXCnWXLVXV8Phnp7IfL9NMzSx9GI4AtJb0ZKVhscn9TFpopxwjGas9YdXYTuaMiKxd7E9nnpkIojNGy4+WCn5BtyEp1h2LQ0RLkw+E5cfk1Qx\/1AgXLnyI9AtFvfOW+OQahZquXP+2Hx0c8U2avZoD6QDY4auu1ejVmJeWY65JaZOk25AjrmQJnyG+F1d8LslUVcx9eHiK9EI9U+G4Q0T5jvOXAla8NrNDxvZMNPUsfPfGMSz89xYqkvh5JeJwIw21EdH4uQOtf79zb4Yi\/hiHjJsHLFqoWS96QdnX1G9OXGqqN4kc\/WBjIa54rU0w0\/NCLO4Gzmkpmtg8ZlguDKVbnthLnSvmmDaZDnhGM1Y4w3H1GaURYVg9ypVqTdWhJqpjElMhfLLWAe4t\/ahMtAbK2bJhOH02zQt7L+TgU\/grUbVXPFqi2F4wZjrXhY9+Lf9G9D0lgnivfwmeD92xM61MuZ00nNMWWeFE2e98Mg4G7l1dXhl7YNDB8ywaI5EOKG0setSCGw9InDtsIGoy3ytAx5Y56GEaclJ93p0IM46EGd3a2HcZMkCSBOb\/nkBs+Qv621BMezE9hA9O+zaMDC3kDX1E+fpYcv5QBj4VCCvphVFxfVMEjQg2jEAe1eo4w8u7NiFBtjylzU2rmAnKDMNkLsRsLMPwuG1msIwSts9YcYYrrpOAfq9Z0M1Ql7lwuamntBcKY1\/jJW33yA4rAT5zP1ye2CPbask7ys7ad0Qfz+PQEgxHw2FhbBT8cCJv22wiTkOO09vICw7idkC\/9rnMa1x7ngfCJkrxZorxkqgMjsDGn\/ZYPOagQq2X5PVsGCTJY48jYFfmnjdqS5kBsTg7jF9zJwp2YOljpX7bKER3ICGrg6kurzC5UvOOHHUGDMYUyUeEmSlNE4b2y+4wT6zD93t8vIZo8nKmLGBKT\/OeUPFOn\/UfjHgo5qr1makugdi61rpaRd79IpR1sI8lV3NSI7Kh84pNYyXmMzO6tfVHrB\/VYXanm5k2dr2TzLv14QnGDP9OcYz92HDiQi8bqxHmIUrFrDb1tjhvlcNdxLSVL4KxV9bBtJeaVcgAjJbURcdgr1rhqo3HwvrTbdmMlcfxGiYK7bHpKkyD4ZnHLB3k2Tlwolp0cxhHrS\/nkYJjZWIbuRHJkH5tAnmz5HswVLD8j22UPWrQiX7qwnsWh4PHbBkpviNiEeYtM4GJy5bYynz0P\/CVOwXLMtQ3deKABUX7N8g+YbaE4ybaYDjj4LhXyg66mgzmuYqOzABj++44\/QFV6GO7tTGngdxcPDMhE9kDRqZloq8TqE+Ph+Ffi\/74wl1KwCqgXWMEehGG2MIirmwzcVlcNGWCPc2PYzFqyHWW2mIj8M9iXM9cyEWiV0SxkGBjIa5EsJUSsWvIiXSwBNPDFP7f4mgs6sHrW1canTUI8o1Aje5sHfMMpGSkAtr\/QCJ+DJ6lowMSbOanYTL1wbSUCQ3XLwZhgjGwwmYVnKWV6DENm880cuG6GWyLtTU1CI9g2lyM5VCElPh3pHaTzBsQqrA7EZhkLlStLniaGtGik+YxL3j9G8YHCJq5S6l0ZKZAQNVL4nwEXgpHB5mqUVMXDM62bl29fnQveWJsxL7PXvpNTKE4UQMzmeM\/g2C3ism97R2oaW08aswV7XJmdB5Jplmrkx9p47lpwJh7pQOH7sw3LnuzpRlEukgoXOXX+HFy3IUF6bi7kGuEcro1ykqWLDbDoePGWP22GdMXemAp9ZxULluIRwF+HmhMQ4rJyO1uJ2pNUV0NzQgJS4Hxg\/tsUZyXtZ8K9wyeA33oETmvtlhaf+bhEy9udZaVG9OFtWb5y3KIN+yjRwyV5wUb644mMqlMDQaF695SOt+KCyDqyHvF6baC\/Jhp+8nET4CPmmNkFrflzVYagG4xoVR8a9DR3oybt3xEv5\/6VqC8GFn11wpCwqR2JcPHqp\/mh4rMaNprlLTutAgsU5U45sEPHnoLUoLjQwUdfA\/inn53Bk1c0W8FTJXH8lcEf18THOVld3ENEikB8iLmMbU0wfi+iYWMfW8IeeXCXoq4HQvGTm9fLQWZECZq6euPw6BQ1Qt8l\/JqTvFehCBF5Hs8iwi2gsLYG8gWW\/KyDQHhfn5sNcIHKg3\/RijnZ6CO\/9K15uKgMwVp49mrohBjPaEdmIwZK4+D8hckbn62Hz0OVeEXMhccSJzNXqQufr0kLn6PCBzRebqY0Pm6tNA5ooTmavRg8zVp4fM1ecBmSsyVx8bMlefBjJXnMhcjR5krj49ZK4+D8hckbn62JC5+jSQueJE5mr0IHP16SFz9XlA5orM1ceGzNWngcwVJzJXoweZq08PmavPAzJXZK4+NmSuPg1krjiRuRo9yFx9eshcfR6QuSJz9bEhc\/VpIHPFadeLC7gVpEEaBcmm\/S8ay+SGI308rbY+Nug+7HaiZ2C0dSVAedB9GK+zVm5YSXllv+JKM\/m4MI1FefHEqm0feol5QV+v3Dis9OLtuFDyiS9PlRuP1RLzA4Ou9ZDrNblhSYqTPFM7Vnu13LAkxWmD7d+D0v2bNFckEon0pehmkDpXmsnnnO8jufHEyq0XrUkvD34vX24cViutjnKh5GOV7C43HolEInNFIpFIn7XIXJFIX57IXJFIJNJnLDJXJNKXJzJXJBKJ9BmLzBWJ9OXpqzdXBY2lCCqIJpFIpC9S2XWFXGkmn4zaPLnxxGrvlv6xXUn6+vrkxmEVX57ChZJPeUu13HgkEila+Hx8aj6quSIIgiAIgvjWIHNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBVBEARBEIQCIXNFEARBEAShQMhcEQRBEARBKBAyVwRBEARBEAqEzBWhMHq6m1HXXoeqtneoi8fF+EB6u9He1Th4\/+0taOcL0McF+2Qw59cme36fy7l9xvD5HWjqkEizodTZgZ7eLzsl+\/itMtdVj9quLgi47d8WPWjraEB1Rzu6++gJIb5syFx9DTAFdGVLFUqbKxnVokXwaQqm9KRH2GO9HbOMtmOy1mL8T2Ue\/qPMSXUVphhuE26bFRTHxXh\/+Px2NJT74oHbvoFjiKV3CY9TklDR0\/NpK6mm1zB8eQGTtVfgJ3Fa6F3G09R4ZDfXoKG7G3yqQwZRUuCI6y9E+Wiqzgr8rCpxb1WXY7zeFsxk85GPO7Ja27lYXyB9vejM18RMw034XXyNaqsxy8kW8c1VqGhrQkcvF\/ZrRdCO2rZqruwKxh2zLRhjpo+o1rZv1GASXwtkrr4UejtR11qJgoYS5Mkq7Tmm6yzjKqDdeFTaCqG\/ErSgVF54sRrLUdrWDr7oCAqEh1fBhzFdk6swGP1kbYPM7h4F9dj0orjgBc6ZD+x\/sP7Cvcw0VH9y89KK+DfK2KIrcW7qqzHV8DSeZGWhSvGJ\/xXRg+TEZ9hqMJB2P5iqwLmymslhXwt94PFyoWEhkT9UFuEnnd3Y7m6I4C\/YO8pHgI7OWpQ2cmVQlgE2mK4buHZGP7p5oLijiwtPEF8mZK6+CHhorA2FivcZzNFciv9JFETyND80TTRcUmuOhXK2i7QAP2rtw86XnoipL0WJIguznhjcs9yGMRLHWxOVhTaBuBnejvqOHu7v96EDeYUuuG23HZO1l0pcEye2l8zoDB5npKH8Qw6jIAqzjXDEbOHA+dlqw7uyjttKDAk\/E1b+ZzFD4t4u9PNCYrPYWnWiuYsHwRc+NMjvaYWH55KB\/KG1FSvDk7itXxn8SoTEqeCQ7S5M1VqGHyTurVgrQ1+jkkf9VsSXDZmrL4IS+LwJRXxVLKx8T2Om2oJBBZKUXHzR2tuLltQr8rcz+l51HZa\/MINPkS2OO9\/DnfQC7lgjhc9UcO3g8Qe6YNrzdbDccKXE8Vbjam4juoTeqg2lVQ54ElMiDPtBtKbBMfIB1lgfl5aLAZzLKpiq9\/OgpcIT1xy2DJhiMldyEKCjpxPt3d3c\/0BXhQcuOmyVyEcrcDgmFnnCdkAnquv9YfgmA7UfZNQ\/Pb2CDqTEnoSS+Dq\/ZnPVkI7XdRUo7cmGmfsJTO+\/t2ItwT\/Jxaj\/sm8pQZC5+tKoylLHeuMVEoXRUiipz8f\/Sc5vMtRALK8DXm7zJcJJ60fdXTiWJN\/gCJiWdEV9FuLLU0WqLEBxOzt8yENDczFSxd8LFQvjeFdEVJSjU2ie2hEcfAwzJYYE\/6N8Gs\/z4hAtDG+HAyoLsDWhWniskSLoaZE+t3coq7kFHZ+6EcxLhanfaUwWp4ccc9XdUYa0qrSBc6+uQhtjkPvQiqIKie8ZJTBp3czF6+vtQXNzjtT2+PJ0pDIVWCN33YKedjR3NKLlE8zf6evtRmNT9qDzS6urRJPUfWlFUkkUAnOS0ST06V1ISlLGdokhwf8oH8K5OB+8FO7DDZfNt2JbSBRKOqXHVnltBUiQON7rmjpmb30Q9DYiX+L7+PIMpNZWM3ZfRC+\/HTUNsnkrA1mNdUxjRRSGz2tGY1erYudC9TFpVGWJteLrHMJcCfhtqBp0fpnIbqpn8goXSA7dnZXIrE6XiZeD0q5u0fQBBl5bOap6+t5r2J49r2rJ86rMR2Fbm7C8aGwtQZrUcfNRwk5YRz5svf7BTMlyS6g9eFBQgebPpOOqu6Mc6VWD066cx8dQSd7XJ0DroGcyDck1ZWjgrquX34mWjvrP5joJxUPm6gujOO0p1hhKDoXtwRbbLYzBkuzN2oHnJYl4YCQyV\/\/H6FeN5RLbGWkyBXhI3KC5K928RmRkW+Oi3fqBsFqHcCj4BSLqkuEUdg+rNETf\/26wD6vs7uGw3Q7sf2kJu5wERJQ44YLZFvwmjjuELuSyhVAjskvYOJJKwZu6evB6eWhpzh34vjQDGU3NaG58DbOXZ7HI8gRWm23DODXp\/f6ksx1LbU5jh+M5RidxNtQZrrmS+5dVBkp4inl7T9DdhJLa1IF9l+UylQxrSsvgHXoTi7lJyz87GMC\/upGLxdgKpiAOiLiIWTqLB67F4C5McqOR2Z6Kp0ZL8D33\/VSLC9jv+gIpTNHe01WO+LwgaLtL9u6wWooZFjegnpeBxJpCpOUGwic7EmkjGvntRl1DNl6XSqZVOoqEFXILCsqSENX\/fQLyOrhoYpgKhtdZhrgcf6i6bpE5v2WYbf0vtHIzkcXcU1EnRQfSMoxwx\/sBNNLYfXrjqdyeDWkdjM9GpUQmbmpIgdvLg\/hJVdywmI\/\/majApfQN0hqicV1HFO9\/asswy\/IGzgX5I4cxN61txYjMeIHbjhv79y3SKix1UoFxUQ7Sq3ORkOkF76I0FA10sI2IrpZsJt3ecOn2BtFV1Yzx46O1PRhnuefqe+1t2BydwcVg6OOhubUIEWl2uOqwQeb8VmOFqwbMCsR5TQJBM4pqMuAbeQtL9MVzMsXair9jXyKwuhwllUkIjLOAZ3PPkIZhKNg3hLPzHHBD8rw092FPgD3CapPgFv0U67jr+k1\/N1baqsOyqACNqIN\/yAUslGqEsToM5ZKqfjPb1ZqDaObeifNZJJNmKS0DGbmXMe9VtQP5MLYiG2W8XnTx6pBbPvB9REkyUuqqGDPDGL6WIsbID2xLrq9Bs+zcR0ETChhD6h1+BXN1JYZshdqG0wmhCCmvQLvUW42Mge+uREJBBIy9tsnEWYJJJhehnJuGN7XFyMwPhk9mCBJpatlXC5mrL4ykuMtYJjk5WnkzboRrY5Xhaqm3844EqmOu8G+mctE\/gqPWMg+7+kYs9vRDBbdfIYJ25OTa4aipRDgJzXF4jvuBT7DDRGQCNgb54E0rkJJwG2v05ccZSqy54gtSoOd8ETttd\/bPz\/qf5gasD\/BCSLY39HyPDMTR2IY1HqZwzfGCdYoPvCtqUZhvi1NmksOP8zDBSR+eVeJ+nRa8CruExVoD2wdrK069DkFAQQyCxSqMRWjtgPl5NwK0d1QgPtUEp2wkJucypvRwkANe1ebCP+YpNnP3bbanPSIaODfSVQHHl8ekJv9LauurGFh5r8d\/mXv7fyoLcCWPjcQU4oIGJCb+i5ly4vRLZxtm217DRW8NOFUxN2rYsEO3r+HgfwaztQcM3ySzm3iWxKaVJQ5pLZOa+7c7MhZvmrmagjVWHTnwib4lnC\/1X\/UVmGZxBrsd\/pGu5DV2YKOvE6IZg8V6leJ8O5x+60sKgyVlrjqLYeC2VvrtQk7\/U1uO\/eHR0HMT9fr+brAXKsKO217mXPPhE34RU2TiSMngIFZYn8fFIDuEiu\/diOhCeSWbpvvxg8qA8fvR5DkciuKQ0pADTSvRsX7W3YXTqVWiaKyxYhoU5i\/PCXs+f9Bcj7nW57DL7gjmSFb6WkdwLCwAqf0Gqwf1FW64aLMdv4jDyJPNHZy0OIBLaUVMg2aETQxBJwoLXfG3mZz9Mppl9wD\/vlTFPjNRHlrr74xo8aM5lLnSuAPHhnp0MfcyqjgOXnEPsVxnkbCByG6fbn0VD3JqIOAxxp15Vv2yfHHHbikmm5\/BPpfLOBmgAceyEkQmmeOC5Zr+\/Srp7MJeP0s45HhD3f885nDfs5rnpAzjgjLUdYu7ehuRV2CDo+ab8TOz\/ReDQ9jseBHbzDdCSXJKhsE9mBUVo40zWH19bchOfYDZ4u3ypLUR02xv4KLHU1hXtAjjEV8nZK6+KHiIibyAxVzrW6xdsTFw8T2OcRK9V38abBd+\/p\/KdmyJi4LtC+k4\/1Fdj4UubhiYaSVAR2MCTL2klzb4UXsrlloewUID1sSsxhyj7ZimLzI0wzVXv5mcxH7X6zjifkOo9QbzheZKCDtsVKTdbxJ+0VmL7X5PsEoivpRUt2CbvwuS2Qq1MRZa3oelt5s\/gnlReX8LPjvpPtYaSEwmf6dWYYnTbfzzJpvbw7vhdZUj5PUjbNCWtz\/WlCrjfsB9bDYWVTID5oqHqixtrDVaJRV+jPHf2Gu9Az+psvdzG7bYbhcO+w6YK8bMtYTjolSaL8DPWluw2kmUxvscT2Aek0+UDE7iWmI2YzNHQhkCY+zhEa+BNSYb8V92\/xorsCvAFGfM1kJp0FCO6NwW+wWhuIcxfvxaxL++iRkqi\/ErY+wP+WvCvKQJnS1ZsPPdKR1XYyf2hfghm7mf7zJXvzAGZ\/OLq\/35aLPpGuF9EpmrLpQyZnOCpkTvH6M\/zM7jkDXbczYfP6huxwZrUS9fv7nqa0dxqROOSjVYFuEP\/T3Y4Cw6zm7bA5jBGPTfzf6Fdm4p3sda1df64ob5CsZYSR5HpP8x5nNfaCi0XUXGb8Bc9aKrPQceoYyxUl2BicZ\/4a8QK6bx0IqW6ld45rJZel+MwbqcEIcytitQUAKXl+cxl+s1Emk5ZlufxV430XVtMl6OHxkjOs3VB3kjfpO3F53NKcz9PCixf6a80NqExRbHsMSQzdOrMMtwO2YaiPL3sMyVhSETphWCGj9c9r2LU6\/0cM54iSgPKm\/B80omKmPeuxpf4ob9HmEP+Q+a67Ax2B9R9ezOO1FVx5R3AVpQDb4iMpaqizCTue6\/Pe5izRDP6Hjrx8Jyo40pj2rKXuC01RYoMQ26VQ4XcT0pBZVdfJSl3MFsHZleLIO78GsRmTJ+VzyuSw1jL8CPGpuwknsm9784hYXMM\/mz3hGcic\/oH9onvk7IXH1RlMHZ92\/MkhkKm+4fgoqSF9hlvFLYwyG5baKlLRLbo3B5kPlZidmWOggTTxztbUFWngX2yhi36Q7PYJuTBJ+Y+1jEFZJirfR3Q2wzHzkpj7Db\/gR2uJzGUt2V+EkiDKsloW\/Q2DMwuSAt8Sr0xdO9ertQl3ZHKvzb9KP+SVx5kwG2H6anLgIqHnulw2hfxLPMLIj7napzdLDFhDGDGjuwzukajnv+ixMO+zBGfZF0PKFWYZmzPoLEk3CGQ28n8gte4G8T6X39pLMDq+xOYpXxeiY9WFO6DVP0RJVnv7ni58PS6ximytzP9ZEpqCv3wVXn\/YwhGDDM\/6cyH39nMPH6etBUYYKlEnHYinOWpSoCuFn87FCje\/gtXAu1QfD7luKtwbhkxfV86G3CdKaSetubqj+o74NWFR8ttd44wuS3\/2luwo7QRDSw+xJ0orKUuSZ72WGteZhifReGRY0oKnLCDZcDWO14DutNNw8aWv7TywmxjQOvKeRn68Aqv0w0+bknHao2G\/CLTP7fmViHngrGPNlID52O0d+Ne\/ldzD2oR3qmCuZJbPuP8nqs97RBDNcjVlcTDYvgG\/g3LhBvRpI3xPRUwMJtI36R6VEbZ3EJx50O4A+2ElbbhnVWIrPUb64ELcjNt8B2xvgp6R\/HhYQskUnuaUJmtiWOSvTMiDXH2RCe1a3gt8fiuethZt+S2w\/hYV4B6rkht5x0LVxxvwLNkhbuZZMR0NeG\/CI7HJQpL6ba3odpdiqC4h9jqeFqqW3LfOwR1ihu9gxhrpwckdvG2df2XKg7r2YaGdw2LXXEiLYwzx0P9YWaA2+SaqzFXC8HJIl7T3sqEZv8GH8Kty3HGO21GC8OK1drcCAiGBmN2TDz+xvT1OdhkoMZXtZxw9YdhXAJOYWJmoPLjc1RBcJ5ez21VlgutW0JJps8grf4ctpKhEO0V4JN4TeSjnHii4TM1RdFJoxcjg4evnBxRUlHFQJ892KMmsQkdqYlez+\/Fh0lOlKvs4u0FNPM78ON69LgdxYhIOoSJsiEW+SqBS927nVbDlwjbknNP5jlbo2QunbGwNhBO4NdGDMaz+z2YqxEfFYbo7PQ1CNZetejVrx+zwjN1RSbOzAqFUVurvTHvReyc2QO4NKbeJRwhxOaK6sj2ODrjLiWFqagbERG3H3MHLSEAzt3xRDBTCnZx6tB1TDn1PDZIaWIC4PSbeYLNTgW5yAy3RAHzbfid4ltYnPVWeOGU0wLWdaMHk0shbAOqg3AabvNjGEeGEbaEFfKnCAfrXXu2Cc13LkMk41vQjndH05ipYUgqLgAtaJTHTkN3jhhuQU\/9h\/j7fqv2nKcSqtDQcIF4f8\/a23AoTDuXJLs8MT9wKA4QmkcwT+RUcisCIdjiide1qbAKfiKqGKU0FJ\/TyQ0S96YZjR28sFn7nV7uSk26K7gejgGJOwhZRfrLHPCXvOBxsFPujtwMoUxML3NjIExxWapHp61WGT3BJqSaZkahsjqCjSJDjwi2stMsE53+aBz25PEGL+WcDz2Oik1vCs2V4KOYgSH\/S38bpzRYZyN4s7ltRHOO8r0AIqldR6PMzLQwMuAqc8\/mCZl6A7g7wg7WEteV0ocst9jsV1BVznC4q5ikuSxGc178RzONUwA9rmIvocFegPP2XQXY\/jWiN2pfHP1u4cn8ttZg9SJgtc3MFZDwswY3IEvN7ot4Nch5tVxqbg\/6uzC4dgs0VvCvDJEvL6NiRLb36UVfi54lWaDI9abhP8vdtOFTiKXTuE3JNYSlJG+PlKYQ\/Jb\/HFY6plcgrH6V\/BUMr3TghFYmIv3e52H+JIgc\/Ul0ZMI9RcHB7fA7GyQ0d6BuhJdrNEST35eg7UhsajrE6Aq6ZJ0eKEWYbLpFVhzL611NKXB0nvHoHBTLK5CLasQtUxl394YDhUPtqUt2iY2Vy3VucjvaEJ7awiuWO8YNMfjr+RqtA5RevcJOlHEVcYDWozfdY\/iUMBzXGbl9y\/22+7CGOUVWO6qj5dcAVtb6okbdtK9aezQwfHoMORwvQ4thaY4G+yGoHrWWDFxquxw0nitcC6FZLw5DsYI4k6yLMsZIcMc++loTIKpl2gIVmp\/zppwrWaNQD1SUnSxSzhMItomNldV2VrYZCL55qdIK7xdEN3SJVy9vb5IE0vVF3JzTjhzhT709JTDN+wB9plL9w5ISX0Tljipw4AxLLbZsXjdOMI5HuW22GQm8WLDO\/RftWU4nFiG+LD9crcPrd04GByAlKZKFDeWoa4zBab+pwdVjFtDXyF9iEU1S5OuY6qW9JAgq40vw5HF5IW+Xh7yM+\/3z4fpN1fgo7klA45B1+Xei35p7sF2b30Ys2mZm4yc1mFmEIbSpKuYrDW4x+NoGms0etHdnQpj+4E8JDZXXa15cPbfJRXn3TqG60lvUIF2ZOW64JHrQbnp0i+9S3iU4AIb9rqKK9A7zJ+d6WrNhaPfYIM3yew8nqTnoZopLzqaYqDjfaS\/sTUcc7Uu\/DXKu5jnsDsFT6zW4WeZnsiNL5nzZM7V8o0RDuhJb\/uP6losdLFBCvugdxQgMPys9PZ3aJG3I1zidaRM+PB0Hy+ZQ\/b21uJlxGMcsnzLM6m2DvMcVKDPpndWJKKFQ5nE1wiZqy+JtjDcsd8jtTinULrP4CfslSmGnfNO\/KQyHxNsdBHOVER9vU3w8xa1xGQ1zvgotMpEux7KXLHDTXNtb+NunAvME41xgTF34iUFxOaqn3q2p2ProJ6OnXH5aJb6nZc2pBXlCIc4evkdSAiX7NFYjN90TuP66xj0LxQhaEZBqTduezzF7bBAFHFfFxc44KzkytZCrcLesJdIE9d9lcFwryhDKetz2rKg47kH49Sl48x98RT2ldxr6U2vcd1FBwnCyO9mKHPFzpu6mZiAUrYR3vYaWt5\/9ZvSd5mr\/yhvwO5gKxi+YdNcFRvVZM2VCDbt8nMtcTNIXahrfvewy2yIikFnLw5HBKFwJIt\/jdBc\/aC+DU+K29\/bXImn4aE1Xphesvl8VaAvklrEw0oszPVXFKKum4fiIczV\/zFm+1gkm45OMIh7iBXc9wPmSkRPZxXi08360\/KK1xWsM5J5w1YsgxO4lZQ47N7NoczVLDcz0RwkdoirWLd\/krVizJWI1ppwmMXo9l\/XuRd7MU5jiDmIlk\/wSrx+xzsYylyJ3gS9htuxbJqb4orLUUzltr3bXK3CmZQC1LLmqMYOa3VX9L8lOzwtxUzLR\/BgC5YRm6vl2B0aiKAUo\/c2Vyzs0iil+Vb96X3d\/yH2WwxhtrR3YFeID3KH79OJLwgyV18SDX44a7tj0DDSf5RPwaCmAZ2MOWgs1ccajQO4UVgrnKAq6E3GPdkWHqffDQ\/jYb7oyR7aXA2tQeaq3A5bzQfPqZns7otCHjdhtisHbgmGOGSlj2TmXwG\/HSGBA0N7\/1XfgI1+wRiwEGJ6UNdchvTyYqZNztKNnBwLHDeWPharpb4vENkonCkBtFSjvLuDqYbrkBT7APNluvbZYQz7yk7Rb\/w1xcPI7xh+sLTvN3Dvors5DfYB0pN6xZpicQEXwxxh+Fofp+339Q8dvttcDaUBcyUQ9KCkJFHqbU8+rx6vk9WwQWpS7YBmOT5jrpXr0hsG7YVGWG8iWTGswRqP57gZoo2LDlvwQ\/9yB6zm4yeDxwhs7UB23CmJ74chreM4ExPH3CGO+lA8dBts0MbZG8KvplH0skJ3CUIz7BizoI+XTQ3IG8JcDSVJc8XrakVJZZbU8CmvrQi+UXewVGqi+4AWe9viVQOXx95BU+YjTNWWfZ1f9BLAen82f9hBK+oulnHfi80Vv72IMSBHB8V7q3QvQzkrWzhZur4mHyXtTLkgOg0hzVVBuPNiC36Tmecn1v5k4Qy5dzK0uRpa7zZXu\/FvbolofbYi3aGH4YbUCvxprYlgJovzW3PgHiSZdksw2fQfHA\/Uxg2vi1hpKLNvjaO4wRjmnAIbpmwaXIa9VSZmyGFOua+vFyVFr8G1V4Ww6\/Klpetgi6GceIym2f4LszJunhjxVUHm6guivcgcO82lf4dLpHW4mi0eeiuFf1QocntFk4747Z7YMyi8SD\/o7sHhN6L3BXva8+EVdkpqbtC79McLI\/hVS8xCqfPAUUum0pUNq3Ma1yLMoRVrDe1XVzBdhV309DJcmDKF39MGF\/eBsD\/r7sQpdjLvO2lFcro+9sqp\/P54YQDvKunZMVUVNjhltl5qyHKCzV3YlVciIf0F9OKYc\/MRFcY\/vPDpnxD\/TrqrEJP0HItkJ+a+RWJz1VbhgGOWG+X+BIh8zcefoenMQXvR2ZUNbdt\/cOm1M2xLxOnVjcrql7hqJC8ue733YVw8\/Jm0lZkqWGU40Hsz3loNXnWt6GaMaBNjpPcbDqy\/9R+VhfjTNxKNfTw0lBpggfj7d2oppto\/h3mZRKXeEgsN72MDK5aLpXUYhwN0ocbmo7C7WKW\/ikm7v6FZXoWyAh2s1F0+7J6O\/2lvw6549tVLNs0ioep0CTcSfeFTWS86B8bCZ+ZaCifmy4s\/w9VEwii8g8aX+Ntstdw3BeWpf0I7vxbJac8wS04Y+VqOuR4WCGTuEXNQBIdr4vZLNTzNSJL4easauHgdwGSZ3luxVkYP75ca+J0leBl5VmbC\/Nv1u4M2XCvE91meuToO1ZJy0WK3jW7Ypbdy0Dy1t+l\/mlux42U4ypnonUxj0dpnoLH4s95hxsBHoZjxw10tabAJOotZEvPsfrNShg3zHHW3RuCB04F3rtM3oPXY+iZfeEUCQRH0rI7jQrwDzIvY1xpZelDfGIk7Mi+8iDXO8jo0CoZnaIkvCzJXXxDV2dqiN9\/kPKRbY7LRKDVpXERt9v2BlcFlpb0TG6PYqZgMgkakZRthy9vWhNLYieUWBzDfgGv12WjAtVyivc9Lh47LfkyQs86QrP5PZROeMqWgrLkaqPTeRT1ik9RlJiJzMn0Ey6Iy4dpJQlrToOV9EBMkwk4w2YPlDs\/wOFwd+wyXSr1l+YNPJBdxOPSgsT4aOh77h21MxeYK3RkwcD+MSW9LL8aYnnDYhO+F5zcfP\/tGMU3kHsbcGGMRu11tOSbYPoJqlBkjA9zyOye1hs+A1mC5uykCxW9TDQNZc7U4OEb4SrqIcpjaruhfW+171SPM\/RQO9ILH5AMbV5m3OIeQkt4RnI+LRalkJ1BPMTzDb2LhEAZAWmtxIb0YDW0JuG+5ftAcnX4x5u8n\/TM4bMc1TjQ3Y3lYIpMB65CWoSxKM81NWOD0jEtLbZx3PY5pkvvo1ybsCPHCm\/ZhjgsyDYGUhH+xQGNgvaa3qd9csb+IUB8GFYfh9SiPMb6Ip+mZwvmRaI\/BU9fDojxpeBKnA\/W463qCrfprBs05FOkA7pYMs6LvbUFOvjl2vLW82I4l5gexSJyHrJ4LDYwIOeZK+x5e1LGr6bNUwMPrIMa866e+xFJdjqm2z+HEGV5ZczXO6ia0C8XX1oI3yVrY2d8wY+7nKx8kCe9nPZITVLCGW27mXZpsb4KYdlG521NrKXqDV3Uxxlg\/4NLbEHcDL8m8jSrWKixy0oWXxBuwxNcDmasviLyUx1hvKH\/oY4JvMGp4MsMU9SG4bP+WOTPq67HE0xGZwpEidmJvEiwDTw3RUt6AFW66UAt9iJ0mQ5grdCC3wBzHjdcN7nXo10bsCbHCWYv5OJzaJJyYbWInsV1tDea62SL9naNXFXj1+glWSu2bk+Z5PM\/OFi0BwLTU42MeYqmu9PyZ8ca7MFltkdyejlmv2N6hESBoQXFlMJR9LmDxMHqwfncyxcsaduCG\/QFqK\/xjumGIhR4P4O83IbDz2sqZP5G56hV0IinyKDb5mOCBm\/S6ZPK1BvOsn8OsqIBLk+GRk3gby\/QH5gqN9wlAWafYUGTgufHAG3BrfKNRzG1h1y5rrQzAPde3n5uS3l4cDPNDQpOs4eOhvMoX91\/sHfQW5oDWYr2XJk7ZbcaB2GRU8VqQnqWJbVqMUR4Udj5+UD+BS0kvYegqba662grgH3YWe320cG5YJmYTVrkYwr26UrgcyLDpyoE7OxzOPL\/v6l37n\/Z27I7nZqDxm1FS+AJn33Fu7By\/C\/FRyGkT3Z+afFPcfqmMGz7XsFBmCRX5OoiTUaHIH+aEdibTo7UtHfbBZwe91SkSU7Y4a0I5\/Dn2m3HlxbvMlbUxopta+t9cbKlmnin3XfhRavhZjtRWYJKjFmzzREsiCOM2JELPdeC6fza7jEdZbJ8WSy0iXj\/Deq6xNd3qGSyLq\/rjoi0b3tH3MO8dBmuygyqsS+shWnu1D1lRB7HWxwLPPIZ4K1ZKqzDL4iEM8nMHhsOJrwoyV18CrelwTrTEKYedmCSvp4aV8QN417ehh33QO5NhGqaH+++seBfiN939OBBgBqMUdv5OF2ob4mHqfxXLJFqkY4z+wvGXbggpiYRl6HXMF\/co6B3GPi8bBNfWcPOgWOrwJtMBFyw3YIxMj8wKb0voxvsjqbMPxQX6uBxkBL2g+1gvtbDfQvyqvQd\/hTsjUs6LNC1NWfBN0MG9V89wzGH\/EK9ab8RK57u4+ooNdx9bjaSHA+VK9yIexNnB8LUD3CpHVG1y9KChMQMByQ7MPixxx+sM5g9ltPSP4qC3HV7V1zL2qh5J2U64bLUJv0uk12QHFajHRiCvNRTnDQaG3\/5ndoO5Jh3cD7dAdGM3WmojYBhngcd+p+SkxVJMMTuLy1He8CkuHL6x4jGGI8kWF+y2Sk\/+NzoHk+IGdLanwTryLlYw5lTcE7PETQcPwgxgVcrdtF4emmsioBWpi0OyK\/6rrcd8hyfQSQ\/Hm0HGSkwz8koC8MT5MKbL9GCx8+QeRXsjsqEJBaXOePI6GrVdrBuvQlQyY+6Nlkj0RM7HTMYMmb6JQVaDD46I8xpTIU+wvoO7r3ShEu+O5EbGxJSHwDDWAFdcB95wG9AKzLO7jdvRAQgdqbHqpw1pmc4wZvIYOw9v\/xBzIdlzm2jzGLqJ3PydnmYUM+emEvwIW2Xn7mjswAZ3NRjlJPYbK7b3JS7LC34FuahtzIV\/picMIx8yDbO1cpbV2IBdQebQYYxZQe9IfwaK\/a3RRKZBdhMrJcqLXw2P4FCgC14WRcI+6l8sFt8\/3YPY5fFMmH\/vvVLGYSuZn68yPIUzAerC7S\/Km4W\/Vcoulmr2xhGXrAb3+n2vtgwL3Q1h+MYDL8rY9R8YettRycRR9r2FdZJzD7W2YmewO9KaapGSb49zdgPGnV3d\/S9\/HWimJSBP3BvZngOfDA\/cdt6FibJlru5Z3Iy2Zs6xHvx+M1oIh1dGiGgUoKsuCobx1lAOPDtoqQr2hZ2Jxv\/gfKQnPArymDtFfK2QufoCqKyOhWeqM8wT2TdwBuuOI2Nk1NZgtftTXHupjps+J7Ha1QhmcsLKF1Pgx7nATmiw+GhqzsGrtIHtDrlvkM0W3Pw6ZJSEwV4qbigSmhqlJs0K3+IqegmHZMlwLghr6On\/oVh2qCS1MAgeEtslZZ\/xCqlyprSwC\/HFZMuP80FiFx4ddqv9XXSjrj4VgalyjtOvMCQ2N3FDIJ0oKA6Go0R6uZfXoottEvPy4ZvsJhHPBRbJHgiQnO\/Tx5is5hS4SoQRiSnA89NFK3aPhJ4KxOUGwmbQ\/lyELzDwugoQkOoBC5ltFknu8JeZh9TT3YKMfOlw5ikvEVheKZNn5MFDRVU8vFKk4wdUVkv8FlwH8uqrweOLv2hHZo4nLPvDu8Knmj2nXnS3Z8BdYj+srNOCEMUO0YrpbUNFTTycZMKZJ\/ogoEy0JIliYPJ\/puwxJOUF15wscJZBSGd7OeJzZMKlhiG6to5JKUmaUd7SgKYuiRvfU47oHH9YS8YV6iUSmWd74LkcKXy0tOYjLH1gn\/Y58UhvZWeVNyCnLAIOUscbnkLq2sCTmOVQVuw+KIxlsjeC+hfM4+jtQn1DIlxkwrJyzU9EQVsT8iui4Chnu1NhNsok04yhtiocrrLPcUYaqpn8Jp1klUgX5jOOPj46WtPgJhlPKA+45iajZKTPJPHFQebqC6Cxk2nF9Qw9V6a68hVc0kTrv4jlVz2SNY260dRajOQRDhsRBEEQBDEYMlcEQRAEQRAKhMwVQRAEQRCEAiFzRRAEQRAEoUDIXBEEQRAEQSgQMlcEQRAEQRAKhMwVQRAEQRCEAiFzRRAEQRAEoUDIXBEEQRAEQSgQMlcEQRAEQRAKhMwVQRAEQRCEAiFzRRAEQRAEoUDIXBEEQRAEQSgQMlcEQRAEQRAKhMwVQRAEQRCEAiFzRRAEQRAEoUDIXBEEQRAEQSgQMlcEQRDvRR8EPXx0dnSjvV1WPegW9DEhCMXSh57Owend0ckHnxKb+Iwgc0UQXwN9feju6EJjY4eMutDawYeAC0a8B3296OkRoIervQXdPWhrYdO2Dt4qDlg16xF+HistpbG6uO1RjqJaHni9ZLLejz7w2jrR2DSQn+vrS6G6USKdxz\/FhNmaWLnTCz5VXDSC+Az4jvskCOILgK2kW7pFf7P09faio7kVpdklsLupI1XBi6SFHeejEVnbgWbGZPVy8YgR0FqF8NAMeIXVorqmFTH2vti3Sjad5UtprC2MkurRTL1YI6a7rQL6+1Xxx3j5afvz2CeYusgRLmSqiM+Q77hPghgdujpQWtaBTu5fYmT0MJX0fZ9mNHb1QcDrRFFaMbSPyqt4ZPSnMU5oZaKog\/qw3ofyyFhc2vFUOk0nq2D6Im0sXKHLSBszZz7DmHES2zmxBsu6qAPd5K6GD5O3Pf\/VwoTJg9OzX+OeYebqIMRzUQjic+I77pMgPiI9qC9pQEFhPQpeOGPMVC9EcFuIkcHO8bH\/WxMXX1QjwdMbS5lKRmnCU0xcqIdlaw2whKnkp0+TUxGxWmGDf13K0UX+auRUFED\/hhl+F6blE0yYo4mFF8IRmNHGBWhHhJ4T1s59il9k053RadcWtEn0OBJvgd+FKi9vzJ79jEu\/p4yJVccfMmn680RlzDmbCOq4Ij5HvuM+CULh9DQ3Iz+vBlnZb3B+jjLGcIWi0p4YlHNhiBHSK0BbmDcmc2n5y8SnmLvDEcohrcLNraVlMD2jLF0J9UsVW65EIqKaBgdHTjPCTDyxacojjPvTGDesClDYwW0SU52BO3v0MGFQuqvgWkAr2vlcOOItCNCcFIEDi1T6y4spS53gGBqBTTK9gr9MU8Va3TJRtL5e8HmdaKEuceIz4TvukyAUQ08nSvOqkZpagZdaNpg1S2YohdH4u3lcYGLk9IHXnofbfzJpOf4JpmywhW0Gt4mht7EOr7QsB6W5WHMO+cAhqYsLTYyEktBIXD6kjWPqqUip5b6UoCMnAZe2aWGcVJqrYuHmQATV80De6t20VxdC55gWJk0Spd+4RYZQiewGvzB6kLka96cuVN+wsfrAb29GbkQcPFKFuyGIT8533CdBfDA5ubV4HRiKI6s1BnfhS2indRMXg3gfBDweQu6rY8wsQxxyqOC+ZelDW1kpLC9oyk13djhr7flXCCrhghMjojUzC44eKQgt6EQPvxeC\/uFVAZrKauH21AKL5wyk99SVptiyJxjBNV2gEcFh0NYM53uGmDFdlH7jlxjjolMNunr6gGJZc\/UEk+bYwyGzDq8TihHiG4+HJ9zgUcntiyA+Md9xnwTxwTxXC8G+w7bYt9cQs6bJn3vy81hl3ImiYakPQsBHU+RLbNkXA4lOK\/R2dyInNAJHF8tLd0aTtHHocSLSxdOEiJHRxkNrOw\/t6EJVQRUSoosQFcsqE9oXTDFPZq7btgeJ8AktR0kzHwKazP52utuQ5+KDpQu5Ie15BrjkWIXynBLExjFp7OGDZTLmasJ0WzxRFvfSPsPcDWSuiM+H77hPglAclSm4uEELY\/sLwgEpjbWAdQXVNB9GL7q7yxEaJuGSegVoys+D1omheq2eY8YmV+gEVYO81YdTHhGBc9tV8JvctB6Q0lgtnDZMhX9ai\/BNT0IefNTEReD4anXuhQF2XqY\/XP1yoHtSBX9MHJyug0Xmivi8+I77JAjF8TZztSQQSVTJKBbGWHVUlsBJxR5\/yklz1ljNXO6AZ07FYOuejuZONDV1okcUm3gfWsth8681lq0wxPYjL\/D3GWcc2qmLqdOfyEl\/1iz4ITCjHQLqtB1Ec3EONP\/Rw\/S3LbvwTpG5Ij4vvuM+CUJxvMVcTbmfx1QwZK4URy+6mqvgoyzfWP02SxOrDvhAnzNW7AsH6a+LEJNYDdmX3Qj5sOk0uLePh3iLQDw1SUJyjWiqenNqDE5vHnq+4fzbWajhkbuSorkeDg\/NMUfOKvfv0pjJGtj4jxvOXnLDyVPOOH6MzBXx+fAd90kQiqMpC3c2aWO8nAJxj00jzT9RGL3gtdcgwNgD62XTepIKZq+3xhWtWARkD7wd2F6cCw\/PRASm0xTr4ZKZ34Tg5Ho0yCRZZVQBEvNqUc\/9D5TB6IgxZsreC05KS\/wR206r5EuS7xyETUtVZNJKBauOuuDcNU9cui7Sie1qUJIMM+4JJq\/xRHCDaD+8+mbEW70kc0V8NnzHfRKEAimB5ja9\/rWYBqSKu1E9oI4rRdAHflczoh3csU4qjZ9g0nwD7L8dCrOAKohWv2LXHGtCWlQ69J544oFmJMIlXzIk3kq6TyqeXPHGc48iZFbyuG8Z2AnuPD76v2nIxv19+pgodT8GpPSnN0LJXEnhafsad\/\/1wQ0phcI\/vxOSnXxp2npQkpzQPv4ppm57idftXAAeD825+Ygmc0V8JnzHfRKEApFvrpTGWsGmnE+\/saYA+N2tiHsRiAMLB9J3zHQ1rDzmA22LDCSWNCMxKAFWdiIZq3vj8Ca2h0AbR58kIZ0WWxw2XcW50LtihPGLTXH8Xhis3HKRXNIuvbxCQzWCzTywbLFsL8yAlt7IQCnjGCj\/D8AuJvzu4ekueJx7Jt1zNfYxxs8xgWEWF4SxrHx+J5pbuH8J4hPzHfdJEApkCHM1zxdRXQKqXD6QXj4fWf4B2C82VhOe4o\/5uli+QhNbrobCxCIWWs995P+48FQTXDLKBXVcjYCuFkRYeWPzPC4NZxngwLVA6DLpzKa1UE+dsHzJ0Mbq59V2sE\/mgU\/dViOnNR93Vj6VMVeP8PtMDVwLoAVxic+T77hPglAgQ5irI3GooAm9H0Rfby9yAsNxepNE2k58hnGL9LFsrsR3Q2m5HR66VdAPZ4+QpuQkPD+tg\/HTnstP17do2V9+eOhRgY5uyvsjowmR1nEwVHbA\/AmPB6XrL5OfY\/npYOibxcOelhghPjO+4z4JQoFUw+K4AabJrE8z61G+aLVl4r3p6ebj5EbpdB2e1LB0pxP+tc9AdD69JzhimssQ4R0LFY0YaOqG48l1W6xcLP5hYXlSw9ZL\/nimFQ6fjC500W\/fvAeNCDWLhg6T3myaDymDGFhKzC8kiM+B77hPglAgzXC7aoRZU6QrnIN2TeD1\/2QI8T7w+b3QN456D72Bb1QNU10R70cnmpoH5vR0lpcj0D1OTjqL9QZRxZ3oos4qgvgmIXNFKJ6yTNzYp41xE6TN1fI72aikniuCIAjiK4fMFaEwou0SoPLQH3fPmmP6TDlDJnPNcPaeH+4yYdxzuUgEQRAE8ZVB5opQGNkR+XB3SoLDMBRH69EQBEEQXylkrgiCIAiCIBQImSuCIAiCIAgFQuaKIAiCIAhCgZC5IgiCIAiCUCBkrgiCIAiCIBQImSuCIAiCIAgFQuaKIAiCIAhCgZC5IgiCIAiCUCBkrgiCIAiCIBQImSuCIAiCIAgFQuaKIAiCIAhCgZC5IgiCIAiCUCBkrj5DVKJMMUZzBYlEIpG+Yl0JeM6V+sTXBpmrz5DHYQb4j\/I8EolEIn3FOuv7kCv1ia8NMlefIWSuSCQS6esXmauvFzJXnyFkrkgkEunrF5mrrxcyV58h8szVz+pLMUZzJWkUJJv236vMlxuO9GFi87RsWv+otlhuWJJi9b3KgkFpL5oHJD886cP1i8ayQWlO5urrhczVZ4g8c+WZHcxtJT42smk\/03Abt4VQJK6ZgYPS+nmkCbeV+JgsMT8wKO3bezq5rcTHIL48dVCak7n6eiFz9RlC5urTIpv2ZK4+DmSuPh1krkYfMlffFmSuPkPIXH1aZNOezNXHgczVp4PM1ehD5urbgsyVounrA7+1FUWl7XjfoorM1adFNu3JXH0cyFx9OshcjT5krr4tyFwpiL6+LpRnVSMzrRTh+o74c2MI3nDbRgqZq0+LbNqTufo4kLn6dJC5Gn3IXH1bkLn6QHh1tUhJrcCbhEgcHPsIP7OarIoFl5JRw4UZKZ\/WXAnQ0dSMPOaa2OuSVi1K67rQzYX8WpFNezJXHwcyV58OMlejD5mrbwsyV+8DrxXZSWV4nVAKzwf6IkMlIaXp6lirU8oFHjmfxFz18tFaW4\/UhGzYarlgtcw1iaSHIw+i4ZNQgfzKDnQKuLjvSW9TvTAN5SqpApnF7YOMXHdnD1pbutDD\/f8xkE37z8pc9fVB0FiPxJRGtHBffal8eeaqB40VdUiTk19Ti9rQxuvjwn3+jIa54rXz0NbGA5\/7f1h0tyM\/vRwJkumb2YzOkSQtvwfNlTVS90dKKTUorh18Xh0tnWjv6mGalx8HMlffFt9xn8Qwef2mFFEeflg37SmU5BqQR\/h9tibOe7VxMUbOaJurXh4P1ZlZMH1si9lyrmew1LDzehjcU5rR2NnL7WWEMCahycNRzr45TVHHshMh8IopQpSEvJzT4OqZjSpuNx8D2bT\/PMxVB3LZNIgqwEstO0xZEYQEbos8BF1dqMwrk0o7kcqR\/QHzARXJl2OuepmGRwPSE5KhcdkK8+Xk19lH\/WHuWYR8ptLufs9HYjQZDXNVnVGCEN90JJV3oIuxLM0VtUh5LZsfZeQdhF2LVPFbf9o+x+LLSSjpGX6i9jbUIkjdQur+SGm2EY4\/jkWAzLHtjV8jJKX6ozVayFx9W3zHfRLD5MpNLxz52xFHDhpiyvjHch7ex5gwzxDayVyE92A0zRVrrEpiE3H\/mIaca3m7Zu7zhHFI7fsZrL5uRD7Skbvft0sb+24lIO0jdl3Jpv2nNFed5eUIC8\/Hq7BQ7BOnwYRnmH4mEbVcmAH6wGtrRXZ8HvxdYnD7sLx7qo0dF0JgH1aKzE9ssr4Uc9XZWAMfHSes+5NNPxXMXWeGPX9bYc1SdYyTSlsNHH6aiuTa7pH11nwCRmVYsLYIZv+64wTTEHsRlg69WzZYNlMyvd4tpRk2sCvohmDYPVd9aC0phsmZkZdnSmNNcNelGBUfqeuKzNW3xXfcJzFSSmKxY8oTOb1XTzF1kTM867lw78HomSumNVlcAN33MFZizdznB+eEZnSMsEDq66uA8gpuP+Oe4I\/5xjh4xhl\/Mzp23AarFkgfZ0DK2HD2FV59xK4r2bQfdXPV2YTEiDy8DMqGzR1D\/DZB2sQrTXqOpRolXGAOdiiEqVQcLQJxYKFkeg0lHey5GoHAvBa0fiIn8GWYqx5kB4TjBJtXZ2ph5W4fWIdUob67ArY3bTBPJl2VxlpAI7IWTZ9579XozLlqRpiJJzZOlk6jkWjy8XgUdAoYyzRculGW8gbnxc\/ARBXMWmOBw1zZcnCvMebNlj7GgNTwt0EOcj5S1xWZq2+L77hPYqQMZa7GP8esPVHI5YK9D6Nlrnp5bUj29sEa2WsYkdSwUzUNGXUjq6H7WlNwnNvHr1NUsOVZAcR+tKuxGSEmbjh7SVp\/HbXA0rmPsPS4L9w\/JIHfgWzaj6a5CovIh5eNN9bPfo5fpdJ5QL9OUcZJ93YuBgOfj5bsLOhcNZYb\/vc\/tbD6oBPOnrXD1nWaGNu\/TRUbToXCN+vT9GB9GeaqBbH2ftg2lUmvtU7QDKxh7BYfdSmJ+PegLiZIpDMrpbG6uONVhVoeF\/0zZXTMVTdy\/ELx15pnUmkkTxNXWeDQHgNMnv5U4nstnPGsRSd\/BBOuejuQEx6C7dw+xi+zwC3HSrRym+tz8mGrMbhsObRLDzNnPMLO52lIed83kd4Bmatvi++4T2KkDGGufpmqijW6ZVyg92O0zFVndQ0cr7+91+qP+XrYfNwVl2944vJpa6xcqjIojNJaLzgnNmEk9UlvapBo7sr4x\/hjvRFuqabCxX0IBeQhtqADLaXl8DR0x13deLzK\/XjdLbJpP5rmSlUzVJTWZ83xp9yeUcYsTdOBWhIXoVeA9tICWA5hrNie1Pn7vWCXxtydriYk+kfhwl5DzGbNgnC7DvY8S0JS\/ei\/A\/ql9FyVJSXj4WFdTJ1liEO3Q2Hj\/hrPLlpgEVMZS6e1Mpbu9YLtm2a0fObjgqNjroCOjBTc\/0tbJp1EmrXRBscvMnmdye\/P7dPgreWCRfOe929XWuaP6KbukU0w72hGkqMbZrL7mPYc8\/c54rmenDKFk2toKfJqulGVmAojVVc8tstHbs3H6XYkc\/Vt8R33SYyUhiQcmzp4UvtvM9Rx3ruDC\/R+jJa5aq+qhs3FwWapX7O0se1uLGKKuIq3rgxWD2wwa4psWD3cdClFxQjcVZm1uSjuhCf4bbspNkjtT0azdbD+UgjsnVIQEFWKrOp2VNd8vK4B2bT\/JHOuyl7j0DxlOb1XjzFuhiPcG0TB+B1tiLN424sI6th2MQqv+9+v6EFpYhIeHNbDVC6M0nJnGIbU4MNy7cj5cia0dyA7Ihmqp6ywYtEQvTALjXH4XCDck5rQ\/DFfZVUQo2WuUF8M0zuWmMKl08z1Vjh+xRc3\/\/WFaVAVqoQdsN0oCQ7GweWSE9kfYdGzfDSNcD5nd10tvB8ZiPYxWxXT1uhhicQ+B2mpBc48jYSDUzqismqQVdqO1o80Tk7m6tviO+6TGDF5uDnIXDEV358G0E7lgrwno2Wu+I31CFEzlTh\/Ga21x0NvUR85u55XbHA8HpyT12J\/hH1aucjhKvx30wXXfwbv4916hnmb7XHXIQfxRR9vIEs27T8rczXuCSbuiEK+MFAvWquLobxJJoyU1LDpXDiimoQRONoRZ+eHnXPEYbRxxjgHeaPsrr4Mc8VDRVYRfOwSYPjMDTtWK0ukrYRW2+G2ehSsmHDWXsUoZhzWx3qlXxGMmrlCM14ZemDjMgPsPO0BU\/8ylMrMaeooycazv\/QwZZJkmuriSXTbCJd76UVDYSFU9kjuZ7hSwfqTPlDzLkXxR+rFJXP1bfHd\/7f3Hn5RnG37Pn\/I832f9\/0FNYqo2HvvsSX2Fo3GFJPYNUaNSTRKRwQRROwi2DuKKIKCiIpUQUGa9La0ZQtbzt8sDLA7O8CCW2bZ6\/g852eeMPfOysXu3MfM3HMPuyS6DJ9cOWPQ2Ou4p9ORdR2zDWiXifHhQQS+am+A5zhmh\/j7YwSdfQnfQ9exeFY7HQuzY\/r5VDZyDB4IWgC3yYfQ5+urOOz2mJNH+HPfFfbOrHYy1h9r3ZOQVmKaUwTc2gtJruwHuGDKUfays1KOkvgnmMVpw83QWedx6GohiqTNL6stKMJ1zxB8pTXw\/au9r\/Dik3l1QOhyJRdVIeFJLPb+ehpjtOqpl8mn8MPvt\/DDIl84aQRh3Bns8IjGg\/QGNAj0LJb55KoRmQ+eYts\/j3EloWXkkxYNlXjoFYpJo7XHWh3CsKXReFnVxUuCkKPo3VtsneaFCWtu8uxbHmLbz2cwcVjb++hlxnn8czkPJbXG\/y6QXNkWduyS6DI8ctXfBUMWROEzT1yZT66YI7368hLccL+MOe3eQaOVYcewaP0FLFngo3MLur3DSRy8V4hSQzuSmk8I8X4K78cV7A+0UaFBVIEw3ztYOVPrvTlxnHsZHmHlYH3BqHBrbxG5qknD1vEe6MP5vXsNcsUvd9hOUCZB\/tUrOuv544qxXwdjt3csjgfG4vAfl3TESpPBP0QiLE1rkLwZELJcacQqNuQBVs3t4LI5G6eNzxCVWY3MqEQc3RGEUSObRWHGxmg8+iiFTIB3DppPrgBJ2jtcDXuHmALu5TY5sh9FYv1sL\/TVqakXfgotQbW0i5OyMgcblZmZOBf4CtcSatgfaqNA6fscnP0rGLPGa7+fboasfYKH6fVGn06D5Mq2sGOXRJfhkauBbhi+MwV8X+uuYD650qBCXVkpnpx9hN83nmwdG9EWN0xYHIrdXs\/gcy4VMZFv4LItSFeupt\/EpddVht9xVi2BSN2AhGtvkdROsWTlZbj9j5\/Wv4OTof74ySsVTN9ldLi1t4hcIRsHJ3pyOp1D6ON0DN4t9m6wXHUepx+ekFy1IkNubDx2GCBWmgxukqvmT399VhaC9p\/BiBHOzDovLPb\/iDKx8C4QmlOuUFyBrHwRCjjDJMXZ6XDd6I8hnKka7MddRkiGGNKuSqlSBUW9BMXlFUh4koWP7Xyca1KS8e8P7d\/IYz\/qHDzDi1Fp5LOOJFe2hR27JLpMIbxmuaKX1peyl5M75voXseu7j3nlikUhRVF6JoJPxsJfJ69w51kxSliJqXz5EttXeunsjCb98RqvPnVtnIK6Kh3bJx3Feue3SOQRLEVVBZ50NB6M6biW73uJ1yL2BUaEW3shyVXfwZdxp+Xya6MUheF3m++M+szM3huP2Hy6LNhEfTken7zW8aVA7Uw9gz0Xc1BY01y\/DyFXMGOiRq6Yjnr1M6SUy5hDGGFhVrmSNkIiU+jeTSyuQJjXZUwdo3s5UJMRm14jnTGbbtVMIcHHZ7H47euz+PNcJq9gSTPT4b6p\/QM3e4dj2BWShwIjl4PkyrawY5dEl6nCmVWMXPVv+1L2GeKB7Q8+\/1SKWeVK2oDijI8If9\/5v1tS8AkXD1\/AJO3xUKODcODGJ5R0cUekevMQwzU1G+SDbw9E4XKi1gZkUuRHxWDd1x2dOfDFun\/f4p0Jbhrk1l5IctVv1pO2y84qBao+JOKXDi5xGBZf\/Bb4HlnmPXElXLkqK8R1lw4en8ITp3kXsenPcBxyjcDm1T4YzE51YT\/vEWJLpYKbsd2scqWHDFkPI7FhDvdyoCYB2PuwFNXyLl4SbEFcjYTgaxismcx5ShA2+71F1EetnURNJaLP38O8aW1TPnDTOszByH80kivbwo5dEl3lYwJWTdG9LNhrkBsWe+bhc0+mmFWu5A3IjnuFP3ffwV\/\/RuHU9TwUs6vaEOP9s2Qc2cS9Fd0Pqw8n4DW38\/iUhQC\/J8z2HrJ5i6R6hc7g1IzjbQ+87jXQFePX3G5rv\/8OflnJPzdOSwbMuASXmyUmeQ4Yt\/bCkavDcNiS3DohouZRH\/KaCjw8EKjVpusZ\/PUdnH8hoqkYWqguxYNjIa1TVXxORm1NwIeqbp6FMSGWlKv6rHdw+zVA73KgJvYLIhBTKGlXRlXvk7X2K4\/g5puBHHadBklpKa7u82ndXt8xvljw89221+y+gsVzj+i8JzfDlobjVkqt0cdzklzZFnbskjCQ+55PsH\/\/ffzxQwB6c58tqHmMy6Sz2MSs\/9vtKR7lsi\/qIuYec9VQmI\/g3Zq5YdwwYsZZ\/KT5\/XRyA2sW+3E6Gz98u\/clnn0S6+6EGLHy338eQ0don+4\/hhW7XiFRomQ7GTFC91yFb2gYvtHZpoEZfwLfH03Fh3LTnA\/g1t4yclWCgKVe6Oeo9Xv3P4zpvpzLzkoFyhOTsfkbrXZdyahAbA7MwEf2kpY5EaxcKeqReOcxVnR0x6pBCcTfj8tQ09jNszAmxGJyVV+Ge15XMJ1zd2BL5nhmoaC9z+L7ROz+\/rhWe2c4DDuFrd7prGCpUJlfgAvON3DQhXkPre0anNnBzEHbJ5TXG1+HSa5sCzt2SRhI6qMM3L6dghud5G74B7zjuxnOAMw+5kpei6ToWPz6\/Q1s44yn4s2MC9h1JAXJ+fqPTal++gjzZ\/DM4u5wFmdy5Gh6kkVFHm4\/KkOdsgYvryVg33Ldth1lwPRT+NU\/A8kFxj6ubINbe8vIlQjBPxyBw4C2392ekavf7utfB1VIJUi6b+gzBbXCiNUG17dIKJLAEjMGCHdAuwq1pfkIORyMSXx1Myje+M45FanVwpzvyjJyVYvXIczndCrf5UBNAuH+vAo17RwzlV+5wPMaV+aA8BYeaC4XKOQQ5X1C9OsKlJaV4kFABL6fy23ffoYuvQ7n6\/koZP5mpoDkyrawY5eEgDD\/gHYlKitFeBNXgJzkLFw7G4nNy3kka\/o5bDvyCvdeFCO\/in8HJC0uxrMzNzFxvO6cWOM3xyO1kn0Aa24xUtnxPWqlEoWJ6bh3Jwln\/2pvALsrxn19Ga6X0\/EotgBZXXyOYVfh1t4icpX5GqtnuqO31pi+pjNX+z+gnG3ShhpycR1e34zBloVa7TvI+FXX4XY1HxkWEisNwpUrDY2oKviEyy7XML+rZ7AmBuPfM6lILpVBLrTrgSxmlStxBZ6GRmPP9hB8M9Mbjnw1a4o39twrR2U74yjFOdm4435O5zV9hnphmUtG8+BzeSMaCiuQwx53yWrrkRHP7FtCn+PPn9qGIejGEws2hePEjXREJlaY5IxVCyRXtoUduyQEhPnlitErpQoyWbO0KMRi5KRm49GTD7qJLzZs9uLqSrx88QK\/Tj3S9JBg+6lXcTGlDo0t+60Guf74HpWS2TEW6r9nU7LwIrEcFSYYvM4Ht\/bmlKvbzo+w5ber+GmVH\/oN4lx2ZtJr9Al8y6z\/bdcdXH3PvohFIZEiN\/ED7l2Nw\/51fLeaH8XCXyNwnqlpXFolKsxwFagjhC1XGjTTlFQgMYb5DIY+xeZvj\/HUtCVH8O2BWIQ+YNrGlaJUrGAvgQsTs8kVI1ZRdxJw+nwiHuh9rz8gcN9pTNSSV83zBr\/bGIPnFVJe6VeXFyMs7DGWadoPcMWwFeF4UsS2VKmhkjbqj5WSSVD0IV\/vvZuTjcSPtTDRE290ILmyLezYJSEgLCFXRqcqDb\/POYr+Dmfwb0QRKhmzEt7IE364tTenXOUmfELM84+I6iTPXuTiYztPAlDKpCjOzOd5XT7ScurNPnC9PYQvV1pIxMh7\/4mnpi3Jw4cSadfnZrIQZpOrRimKNHNclfHfMVlXWII38bq1jH5ejOLW8Zlc1JDlxWGpgzMGjL6KU2k1JplI2BSQXNkWJFcCpCfIVUXkQ8yb7I7lLh+RXd\/ejlKYcGtvmTFXPR+rkqsehsUGtH8uajVyL1\/E4MEe2HS+8rMnbDYnJFe2BcmVAOkJcpV08hxWHohDfJ4cCmsyKwZu7UmuTAPJleWwVrlSq1R4esATC9wy9B4ALXRIrmwLkisBYv1yVYJTfz5FWEo1JEpruRjYBrf2JFemgeTKclirXKmUuXBe\/wixlWYYJGVkSK5sC5IrAWL1cpWej6iP1aiyonFW2nBrT3JlGkiuLIfVnrl6\/R53PzWgaw\/bEgYkV7YFyZUAsXq50tyxo7lzh\/1Pa4Nbe5Ir00ByZTmsdswV353GVgLJlW1BciVAesKYK2uGW3uSK9NAcmU5rFaurBiSK9uC5EqA8MlVP9\/ZGOz\/NcUM4db+fzwm8LajfF40n2lurXsfncHblmLc\/Ndzol7tnY4v4G1LMU4cj83RqznJVc+F5EqA8MkVhUKhUHpWSK56LiRXAoTkikKhUHp+SK56LiRXAoTkikKhUHp+SK56LiRXAoRPrv7TlPEUM4Rb++b687elfE7060y1Nk+o7pYJt+YkVz0XkisBwidXdLeg+eDWnu4WNA10t6DloLsFzQ\/dLWhbkFwJEJIry8KtPcmVaSC5shwkV+aH5Mq2ILkSICRXloVbe5Ir00ByZTlIrswPyZVtQXIlQEiuLAu39iRXpoHkynKQXJkfkivbguRKgJBcWRZu7UmuTAPJleUguTI\/JFe2BcnVZ9JYU42P2RWcVCL3kxjd3VWRXFkWbu2FKVdqqBRSlOh99jSpQkGJBDK2pVCxHrlSoqG6Dp94a12DynoF08K6MItcNTZAXVIAZdZH\/uSVQS1pZBu3oa6tg1rVzSeTqhqhFhXzv58mOYVQVev\/nuoGCdRy0z4OmuTKtiC5MpDyBkCh9X2vLy1HxvtSRLgG4AuHQ5y4YtiU27j8oRzZRRLo7z46xqrlSiJGLtPhVEmV9OBmE6GS1iM7owjxMdFYrffZ08QLM1dH4HZGGXIK6sH0\/YJE8HKlUqC2ohqZGZk4d\/gypvHU2t7hJHYGpSA2owLF1Y1otJIPvVnk6mMEJD\/PRtV\/7Pkz7AdILkdCkZYOpVZkXmegqKphN9JFRLlo9FrF\/36a9J+H+kNX0Mh5T\/mFm2h8m84cspgOkivbwo5dEp1w7EEZUkuYI1SpGNnvinF2izu+dNTf2erEyRMTf36OF2VdO4dgfXIlR3luOd4lFyHpWhhmz7mNixk1HT69XlZehiRNe50U492HWojZNpaCW3shyZWktBQvb93DFL7Pm17cMXXVbZx\/XYXSOuH1+kKWK6VUitL0dzj+53mM4K2tbuwdjuKHI2\/xLLsBkkZTdtHGwfRyxRxcvbgI8TfD+CWnw6yD9EMF1F0uoxrqwiRIfx3Ps83OMh\/iC3FQmfAUJMmVbWHHLolOiHK+gE1+6Yi8\/QjfjHRFL2aH6jj9FJZ9e74pM8bx73S\/GO6D+YffoaoLZ5ytRa4aa2qQ+a4Ar968xT8rAzCU\/Z3tFz7C01wx9E+YKFD6XtM+H7f+Oa5fKwc3jJh2E+feFCCFkbN69lXmhlt7ociVpLgY1\/b78dSt4wz66jz2XylAca2wLl4JVa40YpUdHY8\/1hzhrWdHGbsxEncSawUvWKaXqyooLh5A3QBWXv6\/oaieOB+1C5c3pWbccIi+0JYb7UxEQ0QR1F095Q8pVGk3IB7Obue\/jhANn9X6nrXTpqD6S+330c5I1Hs+gLKbJ8wMgeTKtrBjl0RnvH+BJVM80ZvdiY5ccAH77oqgYvahauYQ66Wrt96OtjkuGDX\/KoIzDb82I2i5YnbARVnFiI\/LRVjgbSya5a73OztueYX0Ys7ZuppKvIxPwf75LsxRvm57\/bhj7Ny7CE2pQKVph0Hwwq29MOSqAdHdEKuWDJoTDJfbpajpcodlOoQpV0qUp6bBeW3XxaolYzc+x7NsiaAvEZpcrhQ5kB\/ZghpWXkTTd0D6NK\/1spsy4jgafvsWdct0UzN6IET\/a4+6YKatlG1sKKoaKGOPobZFmIYsQH3g29b3VL2LhHSf\/nvWThkHUS971O6\/AkUJ29gEkFzZFnbskuiUUgSt9sXAAcwOdOJJHH8pbxuDxciV6NZl3h2tJgOnn8LBJx1dJNNFqHKVk1uFp\/djsXtdAAbx\/J4tme\/+ATlVWmdJqisQG3QFjoOd9draOzpj2PyLWP9TCFYt88OA1nUuGDn7MvyjRahlN2MuuLUXglxJCuLaGV9laNwxY+MT3M+2gK22gxDlSimpQvSFW5jJW0PD0nSJ8FwuiuqFa1cml6uKt5D9uRoijeT0dULNhn8hDX2KxsftJCkfaokCyhsHIP5pFcQ3NHLVxbN\/kjIor+xGteY9v3BA9fz1aAjiea+WxKdDVSmBKi4Ukt3fQuwfzsiV6c7uklzZFnbskjCAD2fPY+QIXyw4kQ2xvG3HqVbL8PygL++O9guHwxg5Lxjn0tnGBiBUubpzPw0\/b76Gn38+h5mTPfEl7+\/rht8uFaG4ZeCUpBpvg65i8FAXnraH8OUQH+wMr2+6y0f0Pgn7fziHycNb1ntg4vKHuJFv5IG2ncCtvRDkKu0Y32XUtvQe7I5xS0LYv08wFs\/lOfMy+QL+DP1k8TFtLQhRrmo\/ZsN\/U8dnrRwm+OObdVeaa70uCGPGuOm1sV\/8GDH5DYK9i9DUcqVOD0PD95OazyCNmYTq4eOapae9zNwO6bmbkIfFQFleAEV6GdDYxepV5UB+aH7z9voPgWjaV61nzngzejnEbheZ94yGIisLypwyqEVdPV1mOCRXtoUduyQMISsO69bFIK66UWenWZeViM3TdHeurRnggSlrHyO2mm1sAIIfc8XsxPx3nGkdY6Udzd1TblHlqGKvgla8eITF49xaL6fq5jD6jwjFjcrmtoxhQVxVhEt\/BmF0S5tRAfjWKxNdKN9nw629EOTqlWsHHf4gN4xYfRvBCezZUXENXofewYRh3LZHsfrv10iy1GA2DkKUK9GHLHj\/qC9LrRl1DKtd3yKxkL2+WpQJt80nMWiQbjvN98Ajpgo1Ar1T07RyxewfH\/mjfjKP0HSaMag7dBayuHyo5V2RKxXUea8gWcS3zc4yFLU\/\/Avpo1SoqkiuCONgxy4JgyhHXHwd5HKt09X1ZQjd1t5ZKxcMmHAe+65+6pIcWLVcTbrFdJq1aN5F1ePWDj8MdtJv1xyNXF3CVeYgtQ0Fyj+mYffkljYemLX+MaLMaFfc2gtBriquBmvVjZORvpjrm9vUTimRIC\/xHU4evYslPDdZzPztMR5kNzW1OEKUK1nhJ1zaf0Kvbi2xX3QLp55XNbctK0NcVAL+3XgSY4bot\/3hQinKhHKakINp5aoSipB\/UTt6AmqW\/Azxlp2cbELd1LEQ\/R+f6LCZ\/Ttkr4qZD7ShlwalUL2\/CfFoJ1TPWs\/znltRt3guqnvzvFdLxq1BQ+hrqOpMY8QkV7aFHbskukN9KR6duIbxnJ1qc5wxYNRZ7A74gDymqbxBjtJPIoMmFrVmuXLaGo+UQnYwe3kyNk0\/gr487VrS28kNaz2z8JHthBQSKZLvR+GXBW1tRiwMQcAr843E5tZeEAPaP8Tjm7G6tWvNEE+M3RiBkKtvcSEoCrtWt3eWyxXzt0fjaSG7TQsjyAHt9SLEXLiNSa2XpjmZega\/Osc01fqk8xXMndreWS4PbLtehgrTnQj5LEwqV\/IyKCJC0HAkBI1pFewPtamH8uF5iJdPhKgD2anedBuqegO\/9yoJVB8eQXLAG9Kn+ewPtWHkKzUS0k2LUTOQ\/\/00qV7mBnkK37\/58yG5si3s2CXRZaoR538NExwP6+1Yew1yw6Tv7sM7sFmsoJSjJPsT7j3IQ13TaztG8HLV8Ann9pxvu3Snla\/d3+NjJTse7VUkpkzUv5tQN4fRd6g\/Nh17jXPBr3EyQFesNHGYeQ5777ReOzQ53NoLQq4gRuyp21jUnmBpZ5AHxsw7izVr\/Dk3Hvhg7YEEpBh+b4VJEaRcQYmK7GwE7dEe+9dBhh\/H0vVnMXuql85BhL3DKXi\/FEFgs1+0YlK5kkqhFougzEqDMvkDVO1M86e6dwC1EwbwSk5ThmyFPJ856jLk5JWSKXR1FVSiAiifxUHVzmdcnXgTDatG8L+fJo6rILmTqpk\/1uiQXNkWduyS6BLViA0Ow+JBzrrTCvR3hsO0i9jn8xzXk9t2VDJRJeJuPcLJ54YdxgperlCGG\/+EYLL2794UD2wKLkBhy6UQg+Sq8\/SdcRa7b5rmaJIPbu2FIVcMajFenIvAgd1nMVyvTs4YOO4Evv\/7MZyPxiL4VhrunbyCIdptRp\/BrtPZMJ+mdoww5UqDAhUf83DD9w42rNC+g7Ulbpiy4jJ2HmJqHZiCV9Fx2LH2OPpptbGfcR8Ps+shnHszdTH1gHbICtDo\/w\/qV++E9Am\/YKlfHEfd9A5E5z9fQfKmBmpDb7pU1kH14jzEs5aj4cILKHkuyaqzHkOycQbPe7VkIsRBMe3K2edAcmVb2LFLwmCkSAt7gKVDXZomEm3ZmfYacBRrDkbD70YBWuah00xGmPMiAUfcw\/HHtqsIzWJXdIK1ypW9QxBcn5SisuWoLyMWi7XmButuhn9zCcfiujbL\/efArb1g5EqDWo3Gshyc834KD51EI\/BiOjLYU6OSgk+48McxnToOXXELQS+FMwhIuHLFIqvH+xcpOKFX61jcelGG8par308jsWaBh06tJx98h+zWL4LwMLlclb2G9I\/lEP1nIGq+\/gWSq3FQthRMQ3kaZIc3oHqgA4\/gtGQlpFnMB9rQYVcNpVAEb0f1f\/pBNHIRxAG3ocjR+rzXFUJx6RBqJzjxvFdL5kAc8kpz87LRIbmyLezYJWEQUqTefYqfZ7uhT\/+2HemYDeE4diIRb5mdacbDZ\/A+1hxPj3BsWu7FtPHA9JWP8czAu7SsVq5GX8WFRFHbrf51uXBbfhSOmrnBOG0NjztmfPcQj3QGvZsWbu2FIlfq3AxcSey8A1TU1SH+8kMsna5VxyE+WHXwNZJEbCMBIFi5Etci5\/0nvMrv\/LxTQ14uTv55GmNGatV6zCl4PqlEtVBPWzGYWq7USbfQsGpUq7SIxi9F\/e9ukHgebc7v36NmWEeSY4\/qhSehqNUSsuyIttd7+kLiH6Vz17a6PAvyvVNbXy8aOBG1Gw+3veavnaibNUbnPbgRTd0D2csCg32uK5Bc2RZ27JIwgPznUdg4t+2ZgvYTT2LepEMY9d19uHlFwsUtAhvmau1kWzLoKOZteY2P7HY6w2rlatkjPPlQr7XDkyHj9GWMHME\/x5Uh6TfmBH71y0E5u0VzwK29YOQqLwm7d4cxn7Uo+LA3SuiiQFVhHi4duIPvvtY+k+KJqWsf4nJytUE3VJgLwcpVQzUSHr3AX3+HM7V+iZvRpWi+P1CbeqRGJOHo1nOYNM5Vq9bH8d2RFLwTyQU7x5UG08qVDMqoW5Ae+BX1y+d2PL9Ve5myEdKoT1ArWM35GA7Jj19ptekDUe\/FEPs9ZeushLogBdI9P0K867vuvefIJRCfiYGq2jQ3z5Bc2RZ27JLohLzoOOxe7QmHgS07USbj\/DFjvNZ\/t5dRfljilWXw5I3Cl6tqPDpyFbOH6v6ew7bF420B5\/JdST5cf\/LWrZuhcfLCtI1P8NiAMwjGhFt74Yy5kiDBM4ipzWH0HXISG10j8K9OHmDntnOcu1c9MWXpPVyIK4eATlo1IdzLgkpUp7+D50+ay6qemLw4FDv1an0baxccg5NOrY9j\/YHXiC+VCnasVQumHdBeBmVSIhRpmVAmREG67VvUDOaRmXZSvWQvJHfToZa16anq6g+o+n\/ctv0gGrYDcs00LUoJc\/CRAHlUOlTFyZAd2oe68dz27Uc07TuIg6KhLDPd3R4kV7aFHbskOmH\/L4Hoz5kosPO4YtiUEBy6kYZH7wyfuVH4ciVGTOBNLBij+\/su8sjAhwr90aclb19ix4K2M34GZZAnxq99iCuvq2Dum9u4tRfSmCt5bhyWrriLwz8d5a+bdkYfw4IdzxEhQLHSIOgxVw3liLgehd\/WXdIbT8Wb2Zew3zsFKSUSmG90YPcxqVzVVjCCU9Q6iF2dl4jGWxcgdd2F2kntDWAfgbodnpAGXYD8dSHUWk\/A0KB+9xCyPxbpvuaLQajdeQNKza5VLoU6n5E59ghWXV0MRTjznr6uEC+bovu61jihZtkONPhfgCwyGSqRaad7IbmyLezYJdEJDx+9x+VriV1MCu4\/LkZX73MTvFyV5SFg71kM40wOOubH54jOlUB\/GK8MH5+nwnmdG\/oYIFiOY33x09F3iEgwbF4wY8OtvZDkSqmsRnh4ASrfZSAk+CUO\/cgjWSN98NX2p7gclom4bIHMu8CDsAe0y\/GpoAKJL3KREpuGs953sWoej2TNCsZe7zhcji5CsVCnY+fBpHIlb4RaJtMft1STB8XTMMguXeZJGBT5NVB3dC216BVkF\/9ufqTN\/\/SFaMYfkLdMkKdiZEzcoP+ekioo30byvJ8md9CYmMuIHNvWxJBc2RZ27JIQEEKVq5TwDLjvvo3tv5zDlEk8UywMP44lP1\/DFqbNqec1qOEcwpelpOP23VQE7tS9i605LnAaHwKPO6mMkGbhvf4gF7PBrb2Q5EqDWNzcG6gVCpSnZ+ImUzOdPMoStFS1IGy5AhoblZDJmoVJLhIhOS5Dv9YxxSg08RkPU2DqAe0mozgYdf\/pDVGf7yB5nmOSgeemguTKtrBjl4SAEKpclWSW49nDdNw3IK\/zpJC2cyAvzs3hec17PHlWKog5mLi1F5pc9RSELlc9GWuVK9X1nyD6PwfUeaXB0OmvhALJlW1BciVAhD\/mqmfDrT3JlWkgubIc1ipXjfuHomZXKBTmm1PYaJBc2RYkVwKE5MqycGtPcmUaSK4sh3XKVRIalu2FvMAKLl\/yQHJlW5BcCRCSK8vCrT3JlWkgubIcVilXCZGQJRdb1TgrbUiubAuSKwFCcmVZuLUnuTINJFeWwyrlqrrGasVKA8mVbUFyJUD45Gr0yWWYfWEDxQzh1v7\/vCbztqN8XkYFLtWr9WD\/r3nbUoybL45M1av9zPPredtSjJMJp1bp1ZzkqudCciVA+OSKQqFQKD0rJFc9F5IrAUJyRaFQKD0\/JFc9F5IrAUJyRaFQKD0\/JFc9F5IrAUJyRaFQKD0\/JFc9F5IrAcInV5dS7kEkqaWYIdzaDwtYyNuO8nm5kHRbr9YHnvrxtqUYNxNPr9arfWFtKW9binHyJDtOr+YkVz0XkisBwidXNBWD+eDWnqZiMA00FYPlsNYZ2q0ZmorBtiC5EiAkV5aFW3uSK9NAcmU5SK7MD8mVbUFyJUBIriwLt\/YkV6aB5MpykFyZH5Ir24Lk6rNQQ9mogEymH7lcCWU3pxMmubIs3NqTXJkGS8qVWq1CI8\/3ViZTolGhsuqZwA2B5Mr8kFzZFiRXhqBSQtbI7HDZPa5CJkd9vQx19SXwW+yMLxwOceKMoVNCcDFTBnGDAsrmlxkMyZVl4dbe\/HKlgkwsYz9jummQ95xu3xJypVYqIK6vR3ZqHNbpfW818cHiLXF4ram1lPnufm65Ne\/H\/C25f8eW1Dcomb+2LmpmR6Ns1P+5MRGqXDX93i07WgNp\/ptq11WOBkaShfZNIbmyLezYJdERJanwuZSL7E91qBI1IOyvI+g\/iG\/HzI0HJiyIQFRtIxTspgzBeuVKBWmdFCKmRpo66UYGa\/ECbu3NJ1dqRqokTP0ysH+KF\/pxP0\/9D+Mb\/0JmvRTSz+15lUo01Et5\/k5sauSQKdR6HZTmbI+yi51fe5hbrhTiOmRFhmMGt6688cD8X58gPF8OKVOH7qKKe4xJE9x5ts+E+Xs6LItGMqf2BTmVCL\/8FgXsNkyBUOXq7Z23SMivgVil+eypmf2J5vugWx+dlIuQ\/jAM07Tq2nukP9Z4vEc5u02hQHJlW9ixS6IT3vqfxuiRh3V3jkO8MGayDxtvDByota41Hpi6LBJxjeyGDMDq5EqlQJ1IjNLSD3Bf4Y8hejU4BHuHUFzIqkJRqRjirpimBeDW3lxyJa8vwdnf\/DDESVMzVwyeeJT5XHnBsb92LQ+j39DT8E+SQs6+rjuostPhujlAa7u6sZ92HaejCpFXWocSrdwLeol39bIun43lw5xyJRNV47GLP+\/v2lGGLrkG3ydV3TxjqEL2pcsYO9qFd9vtxwOTF0ci3hhFbgfBXhZMfo75U68jMKGU+ewV4PhqT\/Rz5KtRO+nvjqmrHuCx0MyKgeTKtrBjl0RnJD\/D3MkejCRovsQuGDzZD5Ncs6BkjrA0KBsrcO57T\/TlftmZDPvqLAISm5oZhDXJlVIiQdm7BPy+wg8DeH53buwd\/OEaU4WSOhP2HJ8Jt\/bmkSsFnnkEYewIpk5Dj2D89DCEV8mgULzH70Nd0Eunjs5wGncPUd2WVDXK41\/h91VeWts0LBpJDi2UfJbYtWAuuVIrpHjRDbFqydClN3AiuhqyLp8trELIr4wst5zlHuSJMTOY\/cbM400ZOVz3fdrigjHzruOGCU9dCXfM1SccXeiLgToHFIan14hjWOacIbizVhpIrmwLO3ZJdEohji32wQDmKGrQpFBcyJTrjsdQqyBOi8IcvS\/8YYycF4yzGWw7A7AWuVI2NCDtRhiWzG7nskcHme2ehYJqYQoWt\/bmkSvmKH3lcQxhOhX7n+ORJ2pkFEiJmjeRWDDYmZX6lhzGgNEXcanbna8Yr0IeYPlYdnsD3TF8ih+mzTuBGUwmTnBHP96zsBq58oNrnBgSI\/zpzCVXDWVv8D3P72J4PLFwdyyel3Txl1Zkw3muDxzZ7Qz6Lg4fmMK17DZijzTXWzvTvmqWrqEzT8EvgW1oAoQrV3W4v\/cEhg3h\/g046X8YjuP9MGWi9r7nMJxmnofrs3p2W8KC5Mq2sGOXhAG88Q3EuJn+OBzZABl3P6tSofTZfUzV3gEwX\/a+Q\/yxZncCuuBWViJXCuTcf4w1c7ouVk1hdo7zPHJQZYxTIEaGW3vzyFU9Ir1DMHOkC3rPvI3LcZ+QmpEJt6Xu6MM5iu\/l6I6pK+7jQSn70q6irMADn+utY4\/6z7+F0zGVaGBXZ96PwNYfgjBnoW4mj3dFH+bg4rebdag3wt\/NLHKlViPF97hO\/bjpNcgNQ6edaP495\/tj\/Dg3\/XazLsP9fmnXztjlvcEPM4\/gS83rR3pgc2AektJKkZ7Bkw\/lyCqTQ1pdg3suJ7H0p2s4k2C6gw\/hyhVQducmxo911f8bMBkyo\/mzOH\/5Oey9nIuXfhfb1g84glk\/xHVpX2tOSK5sCzt2SRhA2YOH2He7FLWyRsh09rIKlKTn49iGtp1A74GuGD03GBu7KFYarEGuFHV5CNp+BqNbdmzdSB+nQLgmSNktCgdu7c03oL0Yl3ZdxZIZnvhyAGd8H5te4wKw\/LvPECsNlfm4cOA8hmq2OdQNC3dG4VpkEZKS20luPSSNKqSG3MT674Lw970aNFiRXD39i0eWWsJ8T0csu4bAF+Lm9tXleBxwhR33ph0\/\/OyVivey5maGIH76ENMmNR982K+7gDWDXNBHZ5tacXLHqF2vmuqd9r4CBYxkZbw33RkYIcsV3sXg68kerZfCh846ja+XncE3y8\/A721zE7VCgsy7dzBZq4Z9xvtj3YWS5gYChOTKtrBjl4QhlNejTKmCCnX48OoTXr3Ox6s3+Yh\/lYK9s9u+5Jr0H+OD7Rc+ITGtApVd7IisQa5KoqLw48KOz1r1nxyIb1aex7JvL2DZgqPo48gRBkcXOG1JRg27TaHArb155EqGwvQiJDCfp3se5zB0GN8UH4fQb2Ns02fuVUIBEjPrmFd1HemHNLj+5te8zTn+mDnVF2M576Md+xVhuBr+kXnfYhTUViMptRaKz7iDrgVzyVXeuTO8v1dTxvpjWWB+U1OVTIay3HzcOvMQqybot52z8xki85qaGoACzz1OYky746raizOGTL4Az8dFSC\/uzl\/XMAQtV5pxV98cxYBx\/li06jx84+RQaI93U6tQnZ2KnTN16zZiziWc\/8C2ESAkV7aFHbskukhK0CkMG8h\/dqEtLhg69QLcHxYgpdDwMzTWIFfZYY\/w3Vx+AWgK02ltZuSyqoHdK757gQWTXPXGDvUfcQW3q5ubCAVu7U0tV7KKCiQmxGPHbKZD0amPbuwnncTq9WcxSdNhD3DFkGUPced1AfJq2Q0ZhApZEc\/wyzz97XcWewcfbD6VhsfpdWj87AmgzDfmSv46srlmPL\/TFyN8MHvfS8S8yMGT2\/H4+3tv\/nbMd\/mbP2LxrIjdaKdU4tKvARg2OQBL1lzEt99f4uQcpnQkXsOP4qsDb\/GxwjS31gpbruoRvv8Exv+dhiqx\/qVRZW0FbvxxTKdevQYdwYJNCchk2wgRkivbwo5dEl2lPBW\/jneB05wLWP\/zZaz\/KbT9gd3MDnwus6PMLDdsR2kNclX7Og6bVrTXETEd8cY4fChtPvKWFhchJiYJf37tpjd+6MuhnjgQ09RMMHBrb0q5kpWXI8IvFJPG8Y8x0c7gQzlQKapx92AIFrOfNYdRPthxsQQlBru7GK9CH2LFtKOYtpT97OokGPNnHIFjOwPaNbFfHY4nGWIoP3OuLXPJlaZmdw50IjMt0Qzun+aP2XOOwkFnnQ++d0tCGnv1sFNkRbj87138GpCJ8jq+730dwg6FYt4k7ffQTb+JgdhyqbRbZyc7Q9hyBVTcvYudN8tQJ+NIvFqGrNu3MEmnVocxcPIp\/Btl6B\/HMpBc2RZ27JLoABET\/d1jPS7\/eBw7IppPG6hVSuTcvYYxOl\/6tjhMOoltIYbtKK1iQHtRFry2n4JTO5Op2i+5gzPXUhEe8R7B\/wRh4GD+s3x9h\/nCkx1HIRS4tTedXEmQePoGZo3vXKw0meJb3PQqtUKB7LsPsOwrjWA5w2nKBRx53TIcvRMaa\/D2\/gv84\/YS4Wl17A+1kSL51jNsW+6NQYP5\/x2aTNifgfKuz02gg7nkSoNCJsI9l6tY\/60\/Bur9Ps5wHO2HhT9dw8bdj3A8+C2uHr+M4dptRpzB3vM5ht\/ir5ngUiFDfnIBcqsV4LuKqlap8NrDR+vfwYmTN+Zuj+\/SOC9DEbpcITkD4cWNetNf1GUnY+t0Tp0c3TB26QNEaXbUAobkyrawY5dEB4TFFCC1TI5Gzhc9\/Vwc4tl5rphdJSR1qdis\/aXXzmBfLNydCEOGbFiFXDGamP4oFjuX+bQrWDoZeQJrfziJYToDtTWXBUNxo5LdpEDg1t5kclWTCee1AXDSrlMH6bX2MWJymgfwKSQSPD3EdsyaS0gumYyqGYBEjgZxAwryy\/ExuxrV7Uxum3\/nLr6Z3r702U+9gyflis96RIs55aoJ5gCoPjsNrjtvYrNWtuy8i0PHEpHMDv6T5ufizB+682I5rbqLsy\/5ZLQDJIU4vv4sdhxLQRJTK70rqWoVKq6H6LyPbtwwedm9z7t5oR0EL1dVYlQy+1adz5e4Ald2+OrVqdcwbyx0zmw6CBYyJFe2hR27JDrg1u83scv7JS6+qESDXOvrXilGBft\/m+a5yorFN5wvfmsGHsXXW17DkPGW1iFXGmTIiHgFr70XMXOCR\/Mt5zrxwOwN17H1j7vY5ZOOgsRITB+sNU6rvzMGLnpuUE3MCbf2JpOrlJdYu+ioVr06Sf9DmLLjBa7dTMbl0NfYvZT9+eAjmLEzEQYPB5JX42nQQ+za\/hCX34h4BUsS\/wwr5rc\/yai9wwkcS+PM9dZFzCZXajUUxQV4nt35KSBFfT3e3HyMtdo3qAz2xupDr\/G29ctuIFnxWDPDC30cjuKHI6\/w4F2DzsBsVVEefDd3cOaK+f5MW\/kIUV0aU2cYgpcrPWTIvHYdE\/Rq5IxBky7A+42BZ24tCMmVbWHHLokOqI59jEVTPNB70S0EnHuD0EdFqOI8OV\/5KRtn9p\/ifPHb4jAxENvOF8GQ\/aT1yBVLXQnun43Ggb\/CsFcn0Xj4UdJ6ar\/4SjAcBrWdubIf6IIFQWXNKwUEt\/Ymk6ust\/htmW\/7t+cbmN4jfLDM4yMMvi+gPBdn\/jqHQUzn\/dWPdxHwpBgFNVoDh0VluOtzucNxYPYO53Aur9FK5EoFSepLbP83BiFXk3ArrBD6nzoFqouL8TAggvmbaEulByasuo\/z8W3zgDVRU4VXz94x23vblNCrmUgtZj7r7GoN5fdvY8qEthqO3RiJcyHN7TUJPnBa633002fYMXx7IB2f2O0ZE2uTq7oPb\/HrNJ6hBQM9MH5DPHLYdkKG5Mq2sGOXREfUFMLvp2MYxF7+sp90Cc6n43Eu+HVzLr7GqT\/bF6svBnti+uZIvChkt9cJViNXonIkZopQUtv5ZId1H97j4HduTZNQttTly8kXEJrNNhAQ3NqbTK7qPiFg00kM72DweOdxxuBpIfBPZjtGmRTFqe\/bPpvByXj0olznkkldSjIO\/tB2xmzw1yHYcySu7TUe1zBzqofWe+hn2NIYJDW0zTbeHcx5WVApq8bDvZrJRF0waOxF\/NNan5bEwu2fEM4kwIxYfX0LJyKK285Qa6ipRPyVcCyee0Sr7XGs++c1Xpa0CJYckb63sO9gCOaMYD73Ots1IIMZafgpHPfemWYeOKuSK+bgLXirH+x5HonTZ+RRrLsksHEF7UByZVvYsUuiE\/KvXsH8r7zRiztXUyfpN9IbS\/a\/QPBLw+cbsBq5KsvFxdPP4HUsBkFn3uFtYYPOkXszNXh59Q28Nh1HP62pK+z7n8Cm4DxBjpPg1t50A9plyHj8FD\/P8kJ\/rc+M4TkMh+EB2OyT1Xx2Qy5FSfwb7P1Be0ZyT0xZcg\/nY8vYWivwPuotfA9ewppl\/s0TiXY1X12C31MR5J85HYNZx1ypFKhJisK8r0Pxq86ZqXYy0hdf\/RiBq485YsUgTX2LPev1x\/7YO5yC6+MSNM2eIC5DRFgePtWW4vHJZ9i6xB19B+i2by99hnpixpZInI8z3Rwl1iNX1Yj1u4aJvJPqOsNpYjCCm6cpEzwkV7aFHbskOqMgAcePvYKHdzQ8j0Zh\/wZfnbMwutEM1D6ODf9Gwe\/sG8QZPBimGeu5LChHzp1HWDFLc5bDD6v3hsPzRAz8dHIXS0dyj9wZsfJJF+ypfG7tTSdXGmrw6loMtn7jjQFdOYPl6IIBM0PhcjoFaey1ZqWoEpFH+C41HcWKP+KRqOk7ZXXISMxHwrtiJMem4cimM5g8htu+\/QxfcQv\/3irSHXvYTcw7oF0Nmawct27kIj8mHm6uD\/kla4QPZv54F55nk\/DoHf8M6ZKCTwgLuIG5Mzx1Xjvkm1u4GF+NppkXikuRXiGHlD2pm\/8sDseORcFzR5D+ZLpNOYx+w\/zwPbPPOHoyHmHppn1ygeDlqq4E9y68hP+JO1g4mPvg8pY4Y\/CkEFzu4v7VUpBc2RZ27JLolGoUFCqhYOdkqElJhl\/Ac\/gcf8aTGJw8n4b0Lt5c1IJVjbmq+ADnf8Kwdc0JjBvjwrMD5OTr6zjql4Fc9uVChFt708qVBhk+RL7F6UDms7P3PIYMb7+OvQf4YJ0z0y4gFqfu6Y7hUzSI8T48GjvWsbOvs+k\/MQg7g7LwSdN31tahpKQGxWzfXZWVgzuXmO0duII5HFloixcW7QyHm+8zBMdVo6Hx885YtWBeudKMa1ejprb5F1dKpciOea3\/3T2fiIe8U1RwqCrFk7tP8cNCv+a7PUedxK7gHBTWsTZVL0OdUgW9C+b5mTjOu9+IwYlzqXhngsHrfAharuqKcTf4JU4c16\/TUb9n+O3rts\/ml0M9sOSPWJwOYWrPvlyokFzZFnbskhAQ1jWgvR4vXxXjY1w6bl2Jh\/vO0xg1kkcOGKny9o9BwNMKtM5eIVC4tTe9XGlRnIeQS\/EICHrBm8AzKUjtqAOWSVCYmIiDey82T7Q45CgW\/B6D5wXsLYEyBWTSRuidF6kqQ+T9BN73DAh6ixd5Ekg\/\/2SVDuaWK6PTkI+g7WcxyuEYVh56gzelUp758ISJsOWqFOEPC1Aq4RnTxwhy9lPu5zMewdfz0DwLnHAhubItSK4EiHXJFdPHSORQKJqP0cW5Obh1\/TVOn4vXTXQ55EZ4Hp054NberHJlDBrrkHzvIeY6eGLSijBcSqo2bA4sM2PtciVOf4s9a49h1neRuJcuFmSN28OqBrT3EEiubAuSKwFibXLV0+DW3trkqrGyDGFHzmHCjPM4dF33TkEhYe1ylfcwAtt234D\/43JUmXaIlNEhuTI\/JFe2BcmVACG5sizc2lubXNXm5uPcP6fwy\/EMfBTYQ7G1sW65qsWTc89x5noW8lvGWVkRJFfmh+TKtiC5EiAkV5aFW3vrkis58t9lIODwc7woaefZNgLBquWqpBQvXxXgnRWNs9KG5Mr8kFzZFiRXAoTkyrJwa29VctUgQUlyNh5n1OoPWhcYVi1X9VLUSXhuDLASSK7MD8mVbUFyJUD45GrWhQ347uYfFDOEW3v7I1N52wkyV3Zh1dktWMi3TmCZef57vVqPC1rB25Zi3PQ5OlOv9t9e38XblmKcfH3pF72ak1z1XEiuBAifXFEoFAqlZ4XkqudCciVASK4oFAql54fkqudCciVASK4oFAql54fkqudCciVASK4oFAql54fkqudCciVA+OTq+KtLSC\/\/SDFDuLUf7P81bzvK5+XYy4t6td4V7s7blmLcjA1arlf7hOJ3vG0pxsmVtAd6NSe56rmQXAkQPrmiqRjMB7f2Vvf4GyvB2mdot2ZoKgbzQ1Mx2BYkVwKE5MqycGtPcmUaSK4sB8mV+SG5si1IrgQIyZVl4dae5Mo0kFxZDpIr80NyZVuQXAkQkivLwq09yZVpILmyHCRX5ofkyrYguRIgJFeWhVt7kivTQHJlOUiuzA\/JlW1BciVASK4sC7f2JFemgeTKcpBcmR+SK9uC5EqAkFxZFm7tSa5MA8mV5SC5Mj8kV7YFydVnoWaXxoXkyrJwa09yZRpIriwHyZX5IbmyLUiuuolCJoO0\/h0UUin7E+PhGXsaX\/rM1ElYZjS7ljA13NprOiLC+Nx9H6lX66Nx59m1hCmZF\/yTXu0bSK5MSkJRml7Nf3\/kzq4lehokV91B1Yj7+zyxdcAh3Nx2CGiUsSsIgiAIgrB1SK66QVXScwwa7oovHA41pfjmNXYNQRAEQRC2DslVN1g5wRu9WbHSpLfjYXYNQRAEQRC2DslVNxjJyFWLWJFcEQRBEAShDclVNyC5IgiCIAiiPUiuusHICScYqTqsJVd0xwdBEARBEM2QXHWDFb\/Fo\/eAtgHtU5bfY9cQBEEQBGHrkFx1g1Qmo5eEwH7EcQycdQ4PSpt\/ThAEQRAEQXLVTTye1mO1awYOhteyPyEIgiAIgiC5+izK2aWxeV+Rg\/sfonRSXGeqdyO4cGsfmfOSXUMYk6K6Mr1af6jMZdcSpuRZ3mu92itVSnYtYQpEkhq9mieVZLBriZ4GyZUAoWcLWhZu7enZgqaBni1oOejZguaHni1oW5BcfRamuSRIcmVZuLUnuTINJFeWg+TK\/JBc2RYkV92kOCEZ8VcfojD+LfsT40FyZVm4tSe5Mg0kV5aD5Mr8kFzZFiRX3aG+FP+uc8cix0PYs\/QQUJjNrjAOJFeWhVt7kivTQHJlOUiuzA\/JlW1BctUNHgTcQv\/Bzq3zXAX9eZpdYxxIriwLt\/YkV6aB5MpykFyZH5Ir24LkqhvMneCNXqxYaWLsx9+QXFkWbu1JrkwDyZXlILkyPyRXtgXJVTcw9bMFSa4sC7f2JFemgeTKcpBcmR+SK9uC5KobkFz1bLi1J7kyDSRXloPkyvyQXNkWJFfdYOSES4xUtY256u3oy64xDpovYeCbyzrJFn1i1xKmhlv7kBR6dqQpyKrK16v16yLNw6UIU3Pt3UO92jeqFOxawhSU1Ffo1fxpbjy7luhpkFx1A7eb+eg7xL1Vrn45ns6uIQiCIAjC1iG56gaa5zTP3vMSvaZfx\/gtMfhQ3\/xzgiAIgiAIkqtuEpMjx6nn5YjKkrE\/IQiCIAiCILn6LMTskiAIgiAIogWSK4IgCIIgCCNCcvVZFLJLgiAIgiCIZkiuukny+Ss4uT4QCScvsj8hCIIgCIIgueoeZelYONMNI\/ofwvRxh4C3z9kVBEEQBEHYOiRX3eCftUH40vFw6zxX33x1hF1DEARBEIStQ3LVDSZM8IY9K1aaGPvxNyffXGl6PIV2aCZf88Gt\/cqr29k1hDF5nP1Cr9Zn3l5n1xKm5Ptbe\/VqL1FI2bWEKUgty9SrucuzQHYt0dMgueoG9GzBng239vRsQdNAzxa0HJqOnVt7eragaaFnC9oWJFfdgOSqZ8OtPcmVaSC5shwkV+aH5Mq2ILnqBiMn3GOkykVLrox7apfkyrJwa09yZRpIriwHyZX5IbmyLUiuukF4bSMcR3q2ytWxVOM+AofkyrJwa09yZRpIriwHyZX5IbmyLUiuuoGSyYozZei95Dnm+pdAoW7+ubEgubIs3NqTXJkGkivLQXJlfkiubAuSq26iVAEflWoomKWxIbmyLNzak1yZBpIry0FyZX5IrmwLkisB4vzsBP6fxwSd3Hkfya4lTA239qMCl7JrCGNyMz1Cr9buJFdmYdrZtXq1J7kyLRq54tZ8S9ghdi3R0yC5IgiCIAiCMCIkVwRBEARBEEaE5IogCIIgCMKIkFwRBEEQBEEYEZIrgiAIgiAII0JyRRAEQRAEYURIrgRIaX1F0xPUtVMjrWPXEqaGW\/sPlbnsGsKYVDOfaW6ty8SV7FrClGRV5enVXqU2waR9RCsNjRK9mhfUlrBriZ4GyZUAoUlELQu39jSJqGmgSUQtB00ian5oElHbguRKgJBcWRZu7UmuTAPJleUguTI\/JFe2BcmVACG5sizc2pNcmQaSK8tBcmV+SK5sC5IrAUJyZVm4tSe5Mg0kV5aD5Mr8kFzZFiRXAoTkyrJwa09yZRpIriwHyZX5IbmyLUiuBAifXP35xLvpQbcU04dbe8djc3nbUT4veyK89Gq9\/tYe3rYU42ZYwEK92oem3udtSzFOPGJP6dWc5KrnQnIlQPjkikKhUCg9KyRXPReSKwFCckWhUCg9PyRXPReSKwFCckWhUCg9PyRXPReSKwFCckWhUCg9PyRXPReSKwHCJ1ff39oL1+cnKWYIt\/Z9fWbxtqN8Xtbd3KNX668v\/cLblmLcDPCbp1f7f6P9edtSjJMtYYf0ak5y1XMhuRIgfHJFUzGYD27taSoG00BTMVgOmorB\/NBUDLYFyZUAIbmyLNzak1yZBpIry0FyZX5IrmwLkqvPpgy3XR7hoF4i4ROUiXy2VVcgubIs3NqTXJkGkivLQXJlfkiubAuSq1Zk+BD5BsfcHuDPA23ZfyAaYRn1aFCyzVqoykXQ4YfM+hBMcziEL\/TijAGjg\/DjgUfwPJGM1Fr2dQZAcmVZuLUXklw1pifhoGsqstj\/tmZIriyHtcqVWlWCa1r757ZEwPtk9w5mzQXJlW1ho3IlR258KgJd72H3ny25hTXf+GLwoBY5OoIV+6Nw6nI6EoukkKnYlzJUxcfh711nMWLAYS2Zai\/OcBx9HOsOxeB2qmE7L5Iry8KtveXlqhTX\/77f9Dndud4fAxZE4R27ho\/G6mrE34jU+my35CkuPChEOdvO0liFXIkq8PxmIoIfFaGC\/VFPwOrkqvIj\/Pbfw+\/7gjGZdz\/rgoFjgvD9nw\/g3sWDWXNBcmVb2LFLm6L83Tsc2eKPEYP5vqTNsXc4A6\/oMog4Z6wqX77A9m990McgsWpLn2FemLM1ErcMECxrkaui96X4VFYHGfvfBlGRhaN\/3Ma239n8cRd\/nvyISna1EODW3lJyVfkiFnv23WHqdAGT+7OfN0cXDNqZBjHbpg0VakuLcM3jNjZvCsHCme56n8EvHDwwdu45\/PB7JC5GFFtcFoQrVxLkJKTAR\/P5\/C0Y8xddwq5TH1HGruWjNi0Vfp732z7XbLb\/\/hJxlTI0su2EgjXJVUXMc+zafApD+3M\/z3xxxoAxx7H24HODD2bNBcmVbWHHLm2HimJc8wrF2JF8X8y22E+4gZDkajSwL2umDMEb\/DFgYNfEqiV9hvlg5f43SOnkqMpa5Ko2iemAXJ\/jRrIIdUyHlHg9Gn\/vvoFft3aQH09iSOtO8jD6DjmBvx5WcepsWbi1N6tcVeXi5MF72MLUat0ibz2Jtx\/ogjkBJWxjFpkEBc9isGHDWUwa3ta2\/Xhg3LxQeNzORb4FCy80uZJXViA6+CHzOb2MlUuPY2hLvWaF4PCdEh5BkuLdwzi47L2BDSv9MWy4M6fOmhzF\/J+uYOPWOLyqbwR3dIGlsBa5qnj+DBuXHUEvg8SqLU0Hs9sMO5g1FyRXtoUdu7QNGqrw4lIYFk\/2YL+Enlj4QzCWLvLHQM6X037VE0RniaF1NRAVseFYMNYNvThtDQ9zVDXnEg4+qmK3yI\/VXBasz4X\/5hAsWXIea3+9hAXTvdB\/AN\/v3U76M\/VY+BhvBbZP59beXHJ1yDUCP3x\/EqOGuLT7Ges9yBXbw7W6ebkUxZFPsXyBN2\/7AdNPY\/OxFDwOi4fr9tNtwuDgghEzr+HYw2KLnTUUhFwxQvHp9Rv8+esVrF9\/DrOnuOnUTxOn5bcQ9KKOfQFLUS4u+N3Fwq+OYtBA3fb8YSTrhzDczVdApWa3YUGsQ65KcGa1L\/o58tWz8\/QZ5otv\/+n8YNZckFzZFnbs0gaQIzc2HruXeKEv++WbuuEhrjxKhvsW7U6nOfNd0pFRzh5nVmbj+TsZYo4EYfiw9s9a9RrkhvkHkxD9PBvRT94h5OAZ\/XaD\/bDqr2TkNW+ZF+sZc1WDh26hmDGM8zsaGPsBLpjvXcAc\/wsLbu3NJVcJiYXNn51b4Vg4xg29eWr2pdMJ+L9nX6BshCjtNbbNO6LXrjlumLbuAe7mMp9jhQzl+fkI9biBBWNa1rtjzC+RuJ9Rz27QvFharvI\/VeO7DRex+Bsf9NerXVum\/ByO2++1zjkV5+GiawjGMgdafO3H\/vwEl+5lIvr2Iyyb6IE+revcMWXlc7yWax+yWQZrkKvy6DDMGuECe63adi3Mwdu8UDg\/7vhg1lyQXNkWduyyx1ORngHvzccwxKn5izd06XX4Py5HTXE2jusc0WvGW3ljR+gnFDZdMhHjuc89nImrQcLpYIwcwXfqn4mjMwZueoGMUkXT+0HViLLUt\/hlKretC6auvYfbHdiV9ciVErn3wrFyNn8no51Ju18jMiAU\/Qa1yemXg0MRUiq00SgCGHNVmIANkzy1OuW29B18A+Gsjcrr6\/HwkC8cedo15yiWbH2JpNYSqyCuzMelg22Dgu2Hn8fhG58scvbK0nLV0CBHXHwe4p6n46JXKMbo1K4lHli8OwaxLXcB1JfiwbEbmMXIr35bzb7jKLaEfEJRgxqQ1SMzOQMuq47AsfXs1hHMCsiF2sJnr6xBrt4cDYDTEN36aqf3EA8sck1r\/htGpzOfa76DWc34q9QOD2bNBcmVbWHHLns2lSW443MZw9kzLEOXXMPRh6WoamCOIKv45OosvIIe47ddl7F45SlMGXsS7s9EKH\/yAGPHuLZ9cbUzwAWDD2Q2vZ1SIkFyyE18vTgAo3h2DuNXXselDm73sh65AhqT4\/Hzch+931GTZW6piHxZgITEAqQnJWL\/Yl\/00Rpv5fBbMgR4U49e7YUjV9o1U6K2LB1\/jOa20Y4Lpq2\/j7s6PYsC7x9E4afZLW3csMo1CYkWGN0umDFX0lok37yLKXr108QPGw4n4z17zFQYG4edy915xVcTe4dz8HlRgerWk1MKVOQkYNsEj9Yz5vZjH+C1ha8NWoNcZZ07j8FD27lSMNAVw3a8wseKloNZOYqTEngPZqdveIB7ArArkivbwo5d9lwkIsRfDsM3LafwZ17EX1fykRr5Cs7bTmH+N\/4YPYp7CcYdoyZ6wWFw81kqewd\/OEeJUFtdBJ+13vzjivofRu+xxzF\/8SnMW3gSUya0I2FMZzZz\/UOEF7P\/Ph6sSa4gzUfAr6cxgv39Fv\/7FhHxJUh9V4L8KgUUTZ1MHcL2B2KY1lkre6Zev9wT2gXBZri1F4xcMTWbF8jes6aQo\/TRHThx23DSd5gv1h1MQGJN88tKElPhutEHg7Wkf9LW53iSJW9uYEasQq6mB+Pva0XsHbHVeBpwC\/M7uMtYs+\/4LbgQRTq3c8rwcK8PBrZO8+KJg69IrjpDHnUfw0a4aNVWK4OYffThj03tFOJ6vD53FV\/N88Nwnr\/NpLW3cCWjqalFIbmyLezYZQ+lEfmvErBnkQe+bPmyOXlg+FR\/TJ16BAPZS4SdpVWuGpWoLsqB90rPzgdZDvLA+O\/CEXLhJibqrDuKRZvikMQecPFhVXKFGjxwuYTp6+\/jUkQ+CqoawZRJh5KH9zBzvO7YiV6Ol3FXfz4BQcCtvdnlqjEL\/zCfz35a9dJEI6Q7ItjiymUovnFVZz1\/DsNhxBFMmBuI2QsCMXX6UThxOqAvVz3AtQTzn0O0BrkasuwmAmPZMWlFWfD9\/ZTe34WbgRMuwOdZFarZy7FJZ0Mxb4qzzh1vS85XN6+0EFYxoL2hCN6rPNGXb1\/LfBf6jDnW9JmeNS8A48e2I2GM7M75+TGelLLbtCAkV7aFHbvskVR+yILPr0cwwKC7edpPm1xptqpCXakIeXGRmO\/krCMMmo7McdQZ+MZVISdPhIK8CqSEXGkTO00mBOGnU\/no6DyBdcmVCp\/CwrH9eDISPvH8VqVp2L3gqN4O8ivPAghsV94Kt\/ZmlyvkwHnaETho1UuTXv1P4ETzwXoX5KrzjNr4FA\/Szf\/XEIxcqRvw4XkUVvDUZuqPD3DrA3uNLzcDHttO6LXRjzOcJh7DpNnMQRyTMaOc0ZszlUC\/v5qHEFgKq5ArzaXv0lx4L3PTGk7QTpy8MOWHCISc5x7M+mD5zldI5RzwWQKSK9vCjl32PETliDgeavDZKe3YO\/hiy+n3eJtTg8KiGoQ5X8PpNy1yxaKQoaK4tmm9dopLxBCzX+SG8gpc2qZ7eXDUolAEve34m25dcsXsApPTcCexHPli7qWOWtzbdxIjBx\/WkVB7hwD4Zlj+jqn24NZeMHLleAMRLWc8lY2oiIto59FLXcuC\/a8QV2j+y1SCkStG87PinuFbvdp4YtHOGMS2jEczWK46z+yAjqYkNT3WIVcaNDdh1KLoVSTm6AkWI7HjL+BEArPvLa5DWUE53pwL1b2cPvkMNl8oEMQkriRXtoUdu+xxfHiWhfVDuaeKvbDk9+d4\/FGM8ormfHgYhR8Xe+q0s59+AyEJImhu+NHQ+OINrr4XN8vVmyhsvlwGsbzjzkhRX4cY3zO6cjfsGJYdTManDi4JarA2uUIJs3Ork4HrVsX372DmRFfO2T2mvgueQvvOdqHBrb1g5Oqb52g5caXpdOrLsnFojm6bricQf5z\/iE8WcF3hy5Uf1h9MQsuJK1Tl49xf5zFMr13Xs63l8q6FsB65YmEOJqrZfbZ2KqukkLKlrC8uwdnfdPf5Y5dfw\/kUYRzIkVzZFnbsssdR1qjE6xoJanQiRb1EAYWWBGTdf4R1czizYDsex\/5bhShpea6Logp5hQo0auRKUY6zP\/th1FhPDBl9D0+VXMnS3MWVgh2jPDFgsPZ2j2D2d8\/wktkTdPZVtzq5UqmbJkbUqURJKnZ97QMHntP5c46XdloDS8KtvVDkqvfuDJ26qaUNyLoYqtOmqxm9IQK3Uxos8vcQvFyNPoWtJz+2PSZILcbLC\/exdBynXRdj73ANDzo5ODM1ViNX8Y\/xw6VyyPX2s7ponqf5xDMIDtpDQEb4Y41rGooEciBHcmVb2LHLHofmq9h5h9GAuDN3sEhvZ3kYawNykN065lStNS+NGoroMDgN0xwhOaPfUDf052aIC+fuQy\/MXB2NeJnKoE7M6uRKj1rc2ReE0TzTUGg6ljDtp2ALEG7tzS9XIlz66SgGcsYKzg\/Sny9Bc+n59EbddobGfmIwnG8WaE0bYF4EL1ezg\/H37VKdgwZVVhr+\/cVft10XM\/dYsc4BniWwGrlSMp\/vdUcwaJgbHIfeRTT74zYaUfnpLTYNcUVfnceSeWPBzy\/wtlGle9BnQUiubAs7dmmbiHIR9MdZDNfa8bVk6v4kpJa0c6VenYX9BzKQEXgKvTu7a3C0Hxb65UKpYgSNfXlnWLtcFd+7w\/sYEU3sd6ZBIYTnf3QAt\/bml6tqhGzUl6tdT9nVOihRlZ+Jg3N123aaiRdx6PonVFvwTyEcuWpEYUoSfp+pW6Ohy27gxAvOLa3MUdaH+xFY383LsfbfPMU7ARxcWNNlQXX0PTg0TeNyGL0GOKO3XnTHdGrEat6GWCR2YZ9rDkiubAs7dmljVCLc5wa+cjzMyFEnmfcAj3LEenf35edXMfvZ5q\/ux1NB+q8b6YOvfHKb1ncVa5YrdVEKdi30bfdxIprn4gncrfRqby65UjOFUTFRxkVg3Dh9Oe21JAbZmvWaToNTw\/riUpz6hel8mM9eew+51UzloFk\/d3sUIrr30TQqgpKrZH25mrLhPm5+YJvo0IAXp29j0Thup95+7DX7hIVPkdagFESHb11jrrKw7+\/3yDmtOZjt+PPde8IJrA76xL5OWJBc2RZ27JIQEFYnV0xPr5ArIJPl4di3J9od8Ku5JHhPLIzOpSO4tTeXXPmtPIdRg13h0EkGjvHG4Tj2RRykpaW4efAEz+sCsdE1VWtAvOWxtFxpDo4aZQpIy8rw9NgF\/c\/smFPYciITxUwbeaNK76Dgw52HWDffFf0G6c5h1ZbD+NKJWc\/Uf9vtOkZe2BcKAGsb0J7HHMw2oVYhI+i0\/ud7oj+WBOQ3txEoJFe2hR27JASEVckVs7OTFaTD5adTGDvSE06cODoxR\/daHc9vt+pQXduITm6YtCjc2pv\/sqBtYGm5Ksksxyaezyxflux5jqft9N0Vz6Px8wpfvdcMHnkdV3LqBfdgcg3WJlc9AZIr24LkSoBYlVxVfsQxz3g8Sqrm7UTe+J\/FzBneGDG+LSPHh+E5u16IcGtPcmUahHNZ0PYguTI\/JFe2BcmVALH2Ae3WDrf2JFemgeTKcpBcmR+SK9uC5EqAkFxZFm7tSa5MA8mV5SC5Mj8kV7YFyZUAIbmyLNzak1yZBpIry0FyZX5IrmwLkisBQnJlWbi1J7kyDSRXloPkyvyQXNkWJFcChE+uvOPO4U1RGsUM4dbe6fgC3naUz4tn7Gm9Wm974MzblmLcjD65TK\/2MfkJvG0pxsmFpFt6NSe56rmQXAkQPrmiUCgUSs8KyVXPheRKgJBcUSgUSs8PyVXPheRKgJBcUSgUSs8PyVXPheRKgJBcUSgUSs8PyVXPheRKgPDJ1YJLG\/HLvX8oZgi39r28p\/O2o3xe5gf\/rFfryWe+5W1LMW76+szSq\/2Pd\/bztqUYJ8uubNWrOclVz4XkSoDwyRVNxWA+uLWnqRhMA03FYDloKgbzQ1Mx2BYkVwKE5MqycGtPcmUaSK4sB8mV+SG5si1IrgQIyZVl4dae5Mo0kFxZDpIr80NyZVuQXAkQkivLwq29aeWqDklhybhwOg6BnFxPqINcqWbb9TxIriwHyZX5IbmyLUiuBAjJlWXh1t40ciVH9otUBJ++jzXTveHocAhfcDJy7X0c8UvAm0oVPkux6mvx7nkSjgXE8MbvYjpe54qZf5EupR\/LUSGWQcn+t7EhubIcJFfmh+TKtuj5clVfg9Tot\/DyjebNkTOpePmxXq9jKc4qQ3mdFAr2vzui6s0bnm3HICg4G4Vsm65gDXJVkV+F0kr9DrlDagpw+fgzHGmt0TP4XS9ADbtaKHBrbwq5Kk1OxL8bjmGIk0ak\/LD2r0fw9L+LFeM90FdHso5g1V9pyFJ1X6\/k+Tk4tSdAa5ucjPDHim334aLz+Y3G75sf40FmNcTsdoyN2eRKzchpRhgk7kf4430KsogPegKrLq+AKj+\/+2Jb8ALSgOP876nJxQT9bUulUKa++zyZNoCeIVcqQFyAxjPc2vpBeikSynq2mUAgubIt7Nhlj0XTsZzZ20HHMvw4lm66i4NekXDVyvZfI3AvQ9RBxyLBm9AouDFt\/1hzhGfbLhg49gy2ej1D0KWcLkmWNchVVVI6zgW+QnhGDeohQ+bTtzh5TLeGevn7IsYMPNxao94Dj+HX4CLUstsUCtzaG1+u6hDuegnThzN1mB2Mfe5JSCqTQl6bgT\/n+qC\/zufoEOwdLiC0nOlIuoUCRW8SsX+Zu842DYm9QxDcn5ahypAjjG5gNrlSNkJ59ltU\/ceeP\/\/nhOqZP0F82A0NWhFvd4Xk1KNun7lTh\/+NmiED+N9TkyGr9N6zYb8r875BBh3UfQ7WKVdVUJzWrpcLGvZuQe2Alpr2hWjIAtS7nIbsRgyUpjoq6CYkV7aFHbvsoTAdS0Ii\/upmx+LyuBSVfHu5nAy4e97D8onOTDv+17fFFYMnnMdf594hvY59fSdYxWVBUTaObb2MNT\/ewB6X+9iwyBeDB\/H9\/u2n36z7iDWwJuaEW3vjy1UVbjOiOWUw8zlbHI5HH+qYT6oUKSG3sWCcG3pz6mTvEIgTWd2VqwakPHiKNRqR02xvuB8Wb3kIv\/OvcIaJ2x8XMXO87vu1xQObLxWiyESdlNnkqrEEsh+H64qNQRmLuh0XoOjW71+DRpcVqO7bh2e7HcUR1RP3QW7i07nWKFfKW7tQO4ivZi1hJPkrFzQKTKpaILmyLezYZQ+lAakPdTuWpdse4WRoAoKZeP95CbMnaHcm2vHAbxcLUMj9ouakw3VbEPpqnYFpSa+Brpix\/TmCL8Xj+OFgjGpd54xB405jd6BhlwmtY8xVNR64X8bMobo1MDj9D2Pqv9kQoFvp1d74ctWIgqTX2LfkGJxGBGD11tvYc+A2Vs32RP8BunWydziKH4+mIq2mmxeK5CLEXLyDGez2Rq24jTNxdZCxq2vyC\/A0rPn7oB3XrYEYM+IQ1gV9wicTnVo0m1zJYiFuObvx3\/4QTd8GyflgyJhIvV1RN0W7g9aOA2o2uEOez26nS6RDunQqRP9ltzV0HRpOnG16T03E83tx3qslfSAavRzSNHYzJsLq5Or9bdRNbK9mbP5vFGq+DzbZGMHPheTKtrBjlz0TmQixwXcwk+1YRjd1LG3jq2oLihETkYSrN3TjtSMI40YewneBecjT7lhEeTi74zQcBznrdIAt6TvsBNxeM92WWglJWQFuBj3Cmokt610xZN5VeMWK2I21j3XIlQJZt8MZIXDTqQFfxvz8BOf+vYD+Tm11s+9\/Fv5ZLV28sODW3jQD2huQFZeJ4AMXMXGci069Wmu09C7Oh6Yjo+YzBrRXFeOed3DzgPmJ3pi15jJ+33wPv+\/jz+6gd0grkqIqKwePwl7iYkQpKmpN012ZR66YyhVeRG1LB9x3JOrO5LTVs74KyuirkIXqRuryB2rH2qNmzd+QfWDbdoXqCIinjIOIfd+agzFQNbTVURV\/Te89ZadPon6WPUQjZqMhnm1oIqxKripiIf12ZptE\/e8k1O\/+GdUt\/92SfhNRe+iZycerdReSK9vCjl32TKpKcP9oW8cyc00odvxyG9t+bycBqUgukEKUk4enEa8Q8li3Y8m6dgXTR7mgl1YH2JbDcBx5Aw8b2MbMV1zeIMKz4FuY29JmyDEs25+CT2yL9rAOuWLcNSkev6304dShOfN+j8G5a6m4dTcVkbEp8N0YiH7a463WvEIpux2hwa298eWqGjEXn+EA85n7+Vt\/DB3GL+tfTDuL33bcavpsbvd5j3L21V2hJjMTvr+yYwJHeMBpjBeGcN9HO+NPYPlP17D99whcfVOGnDIZGhtN012ZS67Uz\/5ulpz\/+xKihStRv2w76je1k798II0pgLryExRRoZDdfYzGD90YGZ16GnXj2EuRc75G3eItqP+F5\/002boHDdcZg5M3QPnyOmS3LkMW3\/lB2OdgPXJViUbnZaj+b+\/mWv5Pb0agnkIR69smzGxEw7+COKyq+WXyKqgKUqDsbGdrRkiubAs7dtkjqcnMYjoWr+ZOY7g7Bo72xGBuZ6Kdsf5YtP4yftv6EJfiS5FTLtfqWMpweq0vBnIu22in3\/BABLxnmzehgig\/G66LWtq4Ysrqu7jTyRfeWuQKdbnw23waw9jf\/6ttUThzIx1h4el4kyeFtGm8mhgxPsGYMER3fNqqy0K8INgMt\/bGlKvajHQEeFzB3MlecNCqBzf2y8MQeuslds93Q+\/+zM9GBWLdthsISWc3ZBAK5McnYNdc\/e13HjdMXBqMDf7vkVfZpXtCDcYscqVWQeE8vrVjrho2Vv+Mh3Z6DUX1rG9R\/+NuSALvQVEqhrqu67+\/8sJPqHHq27xNzXv+t4OxV\/\/DSN+45cx7boF4byAamfdUVZlWdKxFrhSXN6N2yJeo+n\/NtarZep75myigTuLKVV9UT\/wRso+aV8mhzoyF3O84Grt1Sdc0kFzZFnbssgfCdCyvut+xjF94Hmt83iGbEawmMl9i2RRPvcHG2uk1wAUzN0QhuqL5JdLqWoR7X9AZMDx0QTCOxnS8E7MaudKMu3INwYzl1+B1IQVvcxvQ0MiuYqmIfYqVM92bBYGtgb3DeYRWsg0ECLf2xpIrjVj57D6FESPaOVOllQmHM1EllqIg8SNC9\/ujt2PzzyetfoxIg09hiZEW8RRrZgRirfMrPI7M5CQVx\/8MxvQR+u\/fmnEB2HIuD6V13R1Q3z7mkasSSBdpd8KGRnPn2XTU7jgGWXwxuzFDEUG+Zx6q+\/Btt6Mw8tdrFGrW\/4GGW5nstkyDVcjVu6uomzKQkc\/m+tRsuwhFXgPzN+WTq0GoHr8T0pu+qPvue9R9sxx1aw8xospuSwCQXNkWduyyB9KAtMdRTMdyEt+5vsGzmGxO0nHynxDMHMnTobRkzHH8ejoHxZpLg68iMWVi53cd9h7ohRnfhmDtDyFYvfYcpo\/TXd9n2hlsv9bxN9565EqJnLvh2OL9BnG5POOnKj\/C\/bvjcOQM\/p+yjxEHtokQ4dbeOHJVjafHbmKeAWKlycA\/UlFR33xJWlJUiGt\/HW\/6uT3z+VoQZODEHjIpyj8W4NmbYmSW8Y1vU6KmqBz3fK5g\/mT+f4cmjqueIrZAwhyuGBezyJUqFuJ+fSBa64fGqGecREJ+0Qv1w7Q7aU56D0ftbz5ofN+VM61pkCydAdHXf0J28xHP+16FeHwHg7P\/1wHVc3+DNNZ03xLBy1V5NCQrZkH0v+zlwGVHoMhvgCLgO9StXIu6eVNax7M150uIeo1BzfiWu0IHoWYJyRVhOezYZc9DJkNFdhFik0rbzj7poERtaSUe+l3D11P4OxVN+q+IxHPNl9pAueosjrPP458H1ey\/gR\/rkSugMSkF114UIUvvbjYxoo8EY\/Jw3cuB9g5+OPzGNJeZjAW39kaRq8L3cN10ssNLgToZF4AdV0ohYS9Lxx3ybP65ozMG\/vTGsPFqShWUjVLkJGXi3uUUpLVz119D0mts\/5Z\/7Jwm9kNOw\/eFCHVGtiuzyFVROhpfxEORzfedUzG\/fCUU989C\/JV2R83JqO\/QcCXV8IHSlXlQvHmFxowSqOV8NwNIoUp+CclKnvdqSd8JqD3wVPMvNAnClqtyNP67HNW9tC6lOs1C3eKVqHHSqlGHIbkiLIsdu+x5qNTNHUtiJu4EJyGlnXljJClvsHNtBx3L4FPwjqlCTeYrfDfVE3142nQloxaH4lQi3w63DWuSKxRXIbdKglpOL1DxLBIrZ3ugj9blQE3sZz\/EmwbTDJA2FtzaG0WuslKw78fms0+Gpv\/kQHyz\/CwWr9ScAWXP\/vVn5GpNHAweSiLRTMVwDwsnBWKzD79g1bx+iS0rvfXevyX2Dsdx6EklqjmXfD8Xs8iVVAq14hPke\/6GvIT9GZeKTMgPLeTpoNn83wTU\/X0NSkNPXsnlUKvK0OjlCXlKmeYqFi+q0HX876fJ\/zBy8A0jB+wQA2MjZLlSXPwFtcP7tY6z6l5IrgjLYscueyZMxxIbfA9fjw\/AL56MYLXTsWxd1XHH8u\/jCojEZTi1wRcDB\/K3MyxemPtDNOI72YdZlVwpVMz\/1LpH2Exn5bbOH4N45gKb7pYHiakOx40Et\/ZGkauyLPhsOwUnTj26GvuBLvjGr9jwxw5VFOG2xwV86eAMx9E+WLT3GcLSpexKhoKP8Nt3FoOHtn+5UjND\/MmUatQb2YnNIlea8005F1HXxwk1C\/bzCpa6NAOyfbN5OuiWjETd7xeg6MoNfOURaJg9FTXjf4T0baVmdhY9lEFLed6rJY6onrkb8iK2sZERrFylXkLdjOGt46wMTz9Uj1kPyZNUKFJS0XjnJqSHSa4Iy2HHLnsmFcW446npWA6j\/0hvLNgVhdtpWh3Lpywc23MGg4Z01LFcRGCypmNRoib8PsaMduVtZ0gcp57G3mvl0PoX8GJVcqVHPZ56BmPaSP3Z6+0dLuFisUyw89C0wK29UeRKWYPHx65hTkdj\/AxI38HXcLOa7anlMhSHh2PW\/EA25\/HTngRkNK9tovLde7h\/3zYXWe+hnhg1I6DtNbN8MGQ4\/zxbLZm48y3SyuRGv0RlLrlSP97TPD7nvwNQPWsFGu5rGVZ9CRQXdqG6fz+eDrsl01F\/6C6UHZ9w1uVtAGrHDmNe2w+iUczrT6VALdOqYJwXapwcOO+jnSGomeeNRmMPdGMRqlxJv13eNs6qNdPREJYG5fsPzUlLhXzfdN02XwxHzY\/BmicdNVOWB+XjWyRXhMWwY5c9ksp0TcfSJkO9B3tg+JTjmDrbvznTjsJpaMcdy6Rdmo6lsbljkTbg9n4fDGx62G4XM9QHC\/a8wYeGzrsoa5ar8qgnWDXHU+9yoCb2GxNQKRf4aSsGbu2NM6BdBUlNLk5tO4uxnLoYml79A+D5QoymLrBRjvLwMEwYrz0O8DD6DvHH2j1vWcFqRE5yNq6fjcaZgFuYo7UtQ2P\/bQQep9WhUWl8JTaLXKlVkO8Z1NYJ\/08fiAZNRM34ac0ZOxHVAxx1O2pOqr\/aAulTrVNIuU8h+X1d2zbGb4M0OlNHPhUnVqN6YJskiPqPRfVYzZks9jVDtf5NPBE5TYf4XKbJDkSEKlfywiIos3M4KYJarlUJuQTybRwZ\/n+OjDjvg7xFppT1UIvyoSS5IiyEHbvsgTQiNyUHN849x8VTdzCPp+PoLPZrHiMyvU5z5asVWW0Bjq\/xRD\/21niDMuQo5ux6jXc1jQY9msFq5aoiE67rT8BpgP7lQE1+vF4H3vG9AoNbe+PIlQYlGqrLcfNQJ9Mf8MR+fgReFtWjnj2ToZJK8ebYSZ627pi26gEiNGN1JPUoYTqm5AI5JA0SpNx7jk1fc9u3n4k74xD1Xsz8zUzTxZtHrvIh3eWFxvcXUKfdGRuasashDn7bdtYpLwqSbUsgsv9Sq50DRAM3QhL7kZWhMsi9z6DxbTDE40Zz7mozIH3HoOZgBNRaM7obG6HKlUGfNGkmpHo3IPSCaOwiSBLYNpotaa7FCmh\/Q3JlW9ixy56HRIzSnEKkFDVCJpUhPfwFti7k70T4MmlXPJ5nNvAcsasgrRXj7l4PfNnBhKItcZoWCNenDahmekVDz9lYp1wVI3jbOYwfeFjvcqAm9g6huF4hF9K+rl24tTeeXGnQzNwvhahSjPLnz7BiQUfj\/fzh8rwKxeVM22pO7dRqNIqqkHgmROc1jlOD8MeNCjS5QIMM9WW1KGU\/eMrGRtRVM9tKTIbzpgCd17XE3sEHm05mIKlAjCrmM6t9YGFszCJXedGQpzHSoJZBlct0yt9xO+X2I5r5IyQPcpmXtlVe\/ZoRpsWjeNpPhTgkgZFeplFpIhrTy6Fm9jvqqirI906AqBe3PX9EjuNQfzoNarGR7x7gIOQB7R2jhvp9EGr\/l6d2w2ZDfFtAp6o4kFzZFnbssufRIG\/qWMpYN1IplIxvSVHz7h3ct55ot2PZHPQeaaVS1EuUmjvZ20UhlaK2VooUf76zB24YOeMhnjDra+tl0No3G4RVyVVlFo5uOYvxo9zhMFB\/nFVbXLAzXGrjZ644KBUQi2WoYT4n\/Onss6OGSi5GVtILrNPUeIgP5u9JRF7LUwU0B++MhHEPD6BSQiZp731lkMhVmpttTY5Z5Cr7Y9v3mKkFGmqgLsmF4sT3ep1zc5xQs+IQ5B+ZdvUNUCs4hVDIoU6+CvHKqTqvq\/klCI3Z9U01R1EhlBJpW92ldVDXMtsL28dIlvYZr5b0gWjAakjTmDa1TFszXDq3Trl6BrHDYIi+7M9TQyaaGfh7O0E0fB7qDj02+GDWXJBc2RZ27LJnwtexqFVolCsgkTTyRs7sTPVe0wFqBf+2pFJlt7\/cViNXlR\/h6xaLG89LUcVTg2iPExg5vE2weju5wXHoHUSa6DKTseDW3mRyZQwUUhQ8f4RZDp6YsvQpXjIds7Cr24Z5LgvyVYP5mUaSGiT8kTU2NWkXRk4hS4V0+7fNj9IZtRnS6I9tb8X7ngzKRqglPO+nCSO75vzDWadcKflrx41GbAV4FEdyZVv0bLmyUqznzJUaKhUjo+10CmqVCkrNRJY66Zq8WgJu7YUsV4q6WkS5B2DI9CD4vBZ+bbUxi1yZispYSH9eBNF\/lqLh5luo2vsSCBTrvSxovZBc2RYkVwLEage09xC4tReyXEmqRLj6tz+23WpnllwBY81ypXoeiPp5I1D7z00ohDvMp11IrswPyZVtQXIlQEiuLAu39sKVKwWqStLhtisJJppr0qRYr1ypobh+AGJ3fzRm1rM\/sy5IrswPyZVtQXIlQEiuLAu39oKVK5kC0te5eM3+p7VhtXKlyoLs5HXII0w3D5WpIbkyPyRXtgXJlQDhk6uLyXdQ0SCimCHc2g8LWMjbjvJ5OZd4U6\/Wfz\/15W0rqKS8QUlmGkr51llJJpxepVf7\/Joi3rYU4+TRxxi9mpNc9VxIrgQIn1xRKBQKpWeF5KrnQnIlQEiuKBQKpeeH5KrnQnIlQEiuKBQKpeeH5KrnQnIlQEiuKBQKpeeH5KrnQnIlQDQDfecF\/0ShUCiUHpwjL86ye32ip0FyRRAEQRAEYURIrgiCIAiCIIwIyRVBEARBEIQRIbkiCIIgCIIwIiRXBEEQBEEQRoTkiiAIgiAIwoiQXBEEQRAEQRgRkiuCIAiCIAgjQnJFEARBEARhREiuCIIgCIIgjAjJFUEQBEEQhBEhuSIIgiAIgjAiJFcEQRAEQRBGhOSKIAiCIAjCiJBcEQRBEARBGBGSK4IgCIIgCCNCckUQBEEQBGFESK4IgiAIgiCMCMkVQRAEQRCEESG5IgiCIAiCMCIkVwRBEARBEEaE5IogCIIgCMJoAP8\/gSayMkTKuZkAAAAASUVORK5CYII=\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P36_borderStart\"><span class=\"T29\">Podemos ver na imagem acima que cada posi\u00e7\u00e3o do vetor \u00e9 identificado por um n\u00famero (chamado de \u00edndice), no caso da matriz s\u00e3o dois n\u00fameros (um na vertical e um na horizontal). Tomando o exemplo apresentado anteriormente, vamos implementar o algoritmo utilizando o <\/span><a class=\"Internet_20_link\" href=\"http:\/\/www.dicasdeprogramacao.com.br\/linguagem-de-programacao-para-iniciantes\/\"><span class=\"T39\">Visualg<\/span><\/a><span class=\"T29\">. Nele, vamos usar algumas estruturas b\u00e1sicas j\u00e1 apresentadas aqui, tais como A <\/span><a class=\"Internet_20_link\" href=\"http:\/\/www.dicasdeprogramacao.com.br\/estrutura-de-repeticao-para\/\"><span class=\"T39\">estrutura de repeti\u00e7\u00e3o PARA<\/span><\/a><span class=\"T40\"> e<\/span><span class=\"T29\"> a <\/span><a class=\"Internet_20_link\" href=\"http:\/\/www.dicasdeprogramacao.com.br\/estrutura-de-decisao-se-entao-senao\/\"><span class=\"T39\">estrutura de decis\u00e3o SE-ENT\u00c3O-SEN\u00c3O<\/span><\/a><span class=\"T29\">.<\/span><\/p>\n<p><!--Next 'div' was a 'text:p'.--><\/p>\n<div class=\"P86\"><!--Next ' span' is a draw:frame. --><span id=\"Imagem_4\" class=\"fr14\" style=\"height: 13.289cm; width: 15.304cm; padding: 0;\"><img decoding=\"async\" style=\"height: 13.289cm; width: 15.304cm;\" 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CJAQ9H\/jGQBznbQa5JTb4rNvs7aTzgu\/MzHxh3r0nasCcBdiK5ruytX4VDV5gHOj70Nda9nC98wA+gPUM7VhRsYWxX8bC9MULG\/d6HOfJOCzn6NjvVu9hHx7rOyGEPBOYTil0BqGBRAt+we\/g+MV+DEYdm6dBCsTUEFC6+BjfOW+0CQHS9lPrlNdD4OptmWPeB1Jvq8sHZawjCI5oowqoXlbKXfxlZCtIV\/Vu+XCJ64+ty9cD4kPnkfOrmT9unq3GMcyfCJ31HPVCR\/LAxpUPNc9cM8E4E0LIdwHTCYXO+K4WGQNKpu9wlMVfA1V916zBwryTdsEb8logSeX1PA0otRxQApDa82J2SKBu02YntRG06QO+vsZyOZCBPc2Gfl4t3\/2hBD4pwRXPy\/VrgK7HnJ9WBH3FvqzqXfpwyeiL2s7Ln\/+B9pAudFRYYp611\/kfxUhY73zcxzEJxkPs\/28zZor3w9yHKiqtD0eRRQgh3wVM5xM6EiTMO1ODBDbzDp2sGHcPCCGEkOcH02m\/jExugO4YUBgSQgj5ZmCi0CEh7WMXCh1CCCHfDEwUOoQQQgg5FZgodAghhBByKjBR6BBCCCHkVGA6n9AJblNud2Hh7bjDrbfjbeDTW7XbrcjnIPfN++MCJrdFP4Ta9qHvFAW3ervbzE2ecqD+OmeO+cHOQ3sH4ThHE8nma+115XfP8Um75fZ085iC0Bbsk8zB9tDLlR8IIWQNplPu6Nhn5ehCbG+TTvnRU4T12ShwbHyCstT1++3zY\/Isnq9g9lygo9yqnsjf90eCYgrM8vfwl6ddGRVM7bWv70D99Y41N6d2kx6TELRfBIiKqBz8+7Gr7C1z+zIBP7ZjH02Q88fHFehcwWtMzhNRY4Rh6AdCCFmD6QcIHf+6LujBwu6DUlpkg\/wLgpfZEZJ2se3pblHapZCAJoKr5nd7NEiUMg0rzKb1KhqIIc+Lt\/k78RyM8jt2\/L\/mq11zobPbJuhLtkXsg7LxLsklAXEs0wNyzQvmyl4umCtKtWH2LKMudJBr7L2ij9huNPb1OvLXk38dsOUHQgiJwPQjhI5ZJCHwDLsYJijpou2FQz3\/YFBQwQLBNAX7GuRdXnhuey0BxYmDoQ+IvBNu\/ZZ6uziQelCcaJsgLLRNFBL+tZLFRykz+G0SlJZ9dTaZ11qntAdltf15oPfHV4xluk\/VhiysBlG2l4uEDtgkPorEwFToXGxv8fFF5aFdM4aZfv1ZX8d9QLb9QAghEZhOKnRg10CwQRuEgQ9C8rrvKPhAasXNUmA4Vu9Gozw8ZtsZRcRa6KiACfwQBI3+MZ3tZ2Y8Nu\/TaGNl2dcokLVjWqcVnT5ozo9tMZYxQiflRT7ZySVCx\/gi7tNU6Fxrb0Vs8OJ2DrQ7jL21387tDaGzww+EEBKB6Ufs6HR0Ie6BP4HvXDEoqejBhdWJIGVvIJiLgo3gL1wudCQwzPoWiIr7CZ0eoJZ9DWzqx8Z+x4HvkmA4lul2XlKf4wKhYz42TIx+Wwsdf\/wCDtm9aFfG0PYF3kBI3uoa2uMHQgiJwPSzhE6weJtzXb4Gk7oQj3VGgmCCX9ClnZe6aA8B3gaNQ0JHg0otq21APRo0ug3ShhNB+QdI8+uhr4HfLhE6676OwbK3oXU6YTnUpYx1bOPKGL\/5+iLBtUHguzVBH4K+7hM6++3V+rY\/Gpwx9\/s4T\/DcaD7Xfu3zAyGERGA6n9DRYN\/eAcLHHSmYl+NlAcV3jOnOjprfREAOsP\/5r\/\/AeXoczt35LtO+O8UyuY2eBza3vuTzWx2DSAmO4\/nCiwQcPa8FCuMnETYa6Jpd2L+c3+zF9gpNgJg6ARPYMM9+HJWCLZTrwiYHxFf0oemrt1eYBF6Lt0epfY3yMH+DlZ+mjHMQfZLLu766udqON3baKxj\/7\/Kf4tqFcn3+lXGO5qr3Uyq\/xw+1fUIIGcF0yh0dcjay0NkbsAkhhPxsMFHokKfH7Ezx3TwhhJANMFHoEEIIIeRUYKLQIYQQQsipwEShQwghhJBTgYlChxBCCCGnAhOFzoOwt8e+lWeETG4J3n1r723Ittlbvevxuzy3pN1S\/J3upCq3PF89Nn7MH+mD2vY41mjXsz2rBq+dPbbh+Z3i5\/IIhPqldlv35HqsZc2t8JEPXdsPvo4JIR1MFDqPQBdXWPTSXUTttQRQsyD6149hfCDiHZGAcewhetdyK5\/ecGxkTjz6DrIqXJdjLXYdEzoqDuKgfwvstbIf\/6BCfJ3FCOS3+ah96YIojw8cKyT\/vQdzOLjOeZcgIV8DJgqdR7AMajV4yoJ64PeJ6mKdH6InC7Eusu5dpHl3iQu7gu9O\/3G\/Xg55UdAz9bYH1lWkPzVP3vW+SoAZguBU6Niyb2JTbx\/z0K7yLlza8Q+ZS\/nVL4gJnLN6M3hre3qoJJZFH7p3+NVHOu74fyu7NSdavWubWl+KLWm3sOb5MS\/cVugoxd5hLlzJdJ5sU4VN1Fcdj1fxU3sCdtTOdHzqdeqv11EQxccIIY8AE4XOgwiDUwKC2sFA0d4xapArZds7Vz3mg3KrX9uEBTiJgeBd+SzoTX8V3QcWbSeoNwxgGhTw3OyX3L7Pi87tr1MgM3ZLvvE58ldEYrXFBiatp\/dN83DsnA+H14L6HMbb7DKsAumir9Ym99qPoxnzzu2FTiG1j8Isj2Gb9w3s3wK1RQVJKRf7K6Zfb2NbdX6033eL5uNsfODcYa4Hc2zpa0LI3cBEofMF2GBVF0gJaAd2dBQUNXXxbcdK0LGUhT0IZv1HPYHgvHoc6zUBoQb3KA\/OGQJLdGyVZ465IDMEqTgIZYqAaTZXMRKMh\/at1hP5xh9b9WmwsbDsazRH4JiOi+tnvKNxJ6GTKP68we6OXicoVMI5OmFzR0f7WMcz8vlkfEx9phyFDiHPBCYKnS8BF8VVEF6zJXSmASvI2y90xF4MYlGQaGjQq8IBiMqs6tk83\/lwCFJzH7egV143\/z1Y6LSAuOzrttDxwTkO9IvgG\/VrN1nk9PLidxC9nX2Cxb4hEA7Y1sdxBMc8+WLyfZtR6OT+mb60a0HzfJvReBFCHgEmCp0HoNvo8wDog3C0YMYshY4XJAaXJ+Xx18sbUWDRc8He9vFZeu1tn\/TF9L8yntvrHgOGDdbOh0OQwnxtZ7JLkPzQbRhFkAS2Vo8fN\/R9IexnwdnY+7Pu6yBSsA2p034vZ6xLGepAojHfQ2p7\/D7RdYiPzXgs7Hb4sbDiBsdVrwV57cdpmENCMJ7GJvUBXFf22iCEPBJMFDoPQIPpy+zjEf8O0eTP0cU6nasLawrQOcikYFwX2xJ8wnpNnizWqb6c3+pGnLipx+2voo\/9CQPfTACUfrS68RzfFyNc4HyoA9tGm41Npk0J8ug\/15\/6Rd9ql\/cT2ovtZbbGHATXtK+KBn\/Ic2Nax6PmY1\/Hcd0pbpcUe1A43xIcHycsZ4TzV0j9At\/iOPax8+NT\/BvYEc0pbBvnAyHksWCi0CGPR4LGdKeDXI4KnWv9eljoEELI84GJQoc8nvbuGHYjyHW4nanjfu07GRQ6hJDvDiYKHUIIIYScCkwUOoQQQgg5FZgodAghhBByKjBR6BBCCCHkVGCi0Pm2+NuMM\/auGzxHbyHH55DY22j77ziN9WKd8a27r\/23tpR6G7A7Zsq625F9vcsvxA53bZW+aJ2lTVse+xTcUn0hzeZ73Vq9ifT7yAPp9AvLO2\/R9uS+qu+KLy+s59vwLb8wf7uxOXQ93pS6LsXXab2l\/7a37m+tH9tYfx2ZMzJmX7Z+fA15DO9\/XWGi0PnO+IBvXuvFC4tFWrj7a51s\/WIuF3pdIF29\/qnJ\/mFs9XW62P0im9rF83NwNj8i2th30UdPcU4Xj7bt+hn74ZYXWe7PlyxUsigfXfDDJ2DvIQUA9VueK7cNNE+Iuwbuz63mkVxDNxOhjw\/CuobourR8OOQdxma+fuzh54mVaxkernoHMFHofGfaBR8tbhqQJpNpa6Hw+RLk8B1OFzZuMUqLhG1TFy4TFGvdoQ17Foz4nN6O5KMNkRjYLRByUK\/v1OIyQYBKfujn13eh2YelTvFh22Ua+qN9KHmt3MgoWnbYe4E4Smifip1WJF9OfhdcHtKYbPb9mfghiS4JiNL\/VOY9+xv9mOuuZcfroI6Jog9ZHOZiOD8VtEnalmvAXhu93i76N8a8zJdWzudvzAdsc\/iF\/UXZ6iOdD\/i\/KTvMTcib1Kss\/SB1vhmbbVnl0UJnun5skeZi74vvj5mHzpfNR1Mfz5hf57lO8R20i\/lbYx7bi+3Vtb+eV6\/Z9XwwfpL5YIXORtklWNZej5godL4zuEAOQsfltwkpbAU7s5DoJIeyQl\/E7PGa1yeqTkJ7Tl\/ApN7hHaycv3XRHwzU8YIp7UT+CviQwNH+D3dDon4IbjHWhWHmF5vn\/T36PxP7atNenROHF9b7ofOljafaZoLi3A9poU3nqi\/r4lvG2tRTXmOf3dgYGybnZLxN2naf72qTDxr99WrMFal7uqNz6S\/se3v9a0F9A+vHEIDCubKud9sP6O\/AplTmsULnOiZ+0uCO89C\/Tkj\/L9jJm1\/n6k+cA3l+m7k2G\/OlvTpuODfGuTebo6k98I+W628+\/PjH8yHGn5vnVu7r3yJxcqLQ+c60C14GeLiAPDBRt8RCvRAKdkHuF0a4GOnFUSf1cGHLxISLeiw\/WTAAv4hucbXQaaJOiS5A26eGW4zV7u5H1z6Ohyu3OhYJlm17t338SKaBdcMPfVy7L9sxnXfNB5EvdIGEvMgfe8ehEc0DPLYY8+Fcj7MXg4Qvo\/OitrOnD8s+TebKst4dfnABM6ovvm4LS5u\/gthPdm7Pjq3Gfc78Ote54q97N\/cm\/tuydxSseL62izZhOT+Wem7JX84lOBaxOk\/yMFHofGf2TohCm3BSbvmlVKw3ODe6IDr1QssTP3wnAdjF3i0YQf+OCp0xoORjXryFuLLx4iv9jBYqZ\/tDhM4ue+NF+auwcwls2\/BD71v3ZTu2d3wLdmwKe8ehEc0DPLYY8+Fci7ev+ywoo\/OitrOnD8s+ublSz13Wu8MPfv4F9cVzt7C0+SsI+iRsCYfMfNynLK9zqW\/4yoKbexP\/bdsr9RQB49fh+RyNxhJsXM4lOBaxOk\/yMFHofGeGgYYLTvJ8IMTJN3yssQi2flL7C8JPcn39S8SObz+c8OYidwtGNJGHALGFXlQguNQv\/h3lBNsvvcj9OyVlslBpOxBwVOCZuqZBb6wvXvSdr4Rd9qotrtwtSGMe+mfNsJA229Z+6P93X5pjiz5G8xVfJ6K5l+aSnTv4sdcwTqaObmdiQ+jgxw3mWk1zqdvgbU\/v9Fs7O+ZS2M+K82M7d+\/YFLwfzLUQnD851ljYnHc69l3ft2My32SM7bxycyAx+nKL9XWuc9S9gfR2zPy3w15tO\/+4sb8O5nM0vXZzf7UruRx7g\/bV21H7zo+uTkJeMHB3JFEvOJ3MIjYwzy6srny7UOF4O9YvHp3orQwwXCByDNvDcvlcbP\/1878n9VqbS7loUVli29q\/CGI5WVzkYu7lMa+f4xec2mb+cqDm9+Opb2lRyK+bD9NCUMsKw+KYGb+Ds7K3IHWPPr0eG2D30eZEGk\/wV61n5od2XPuW+9znZumvLwt+GOZwZPcsGMB4KdaXfk7UNneMuYB2mXpNmxKM1Nfu2uzlNAhB+cVcyqIAWfiosKfeuR9KngSnV7AZy47t+jkuzMYG1qkx7z5EfupjasfG9sX7yOevwLL+Otc2yxyp58B6uRrztb2FMhcHHy\/nqPOTHE9fRq\/5y7m0gWnX2oWJQod8O8YA\/0ORBeLoon4f3+nCe7IxmQZTch0qdHoAvIjZ2KSgh4H7J5KFzs\/2QQYThQ75fjAIFWRRO7LtrYHgyLulvWi91wavZyMFTX2XyKBxO+yOgd0F3kfdkQgFvu4M3GN+fyNwx+aRO1vPCCYKHUIIIYScCkwUOoQQQgg5FZgodAghhBByKjBR6BBCCCHkVGCi0HkQ9tbRt8\/8fAJ\/O1+hfKEuf7Gs3s2C5+YvSJpbBcMv4dnbEHmnEiGEkJ8AJgqdR+DuBkgCpb0WMWJECr4u4gbyx4cp5fP9Q\/xyWRA3vPWSEELIDwEThc4jWD7vpAobESbDrcIqVvLD5uqtmIPQkbpTXv0Lx4c2l3YQQggh5wAThc6DmH\/MBB8vDc8iyUInPf215Hmh03dycCco2vkZzyGEEELOCCYKnS9Av6\/Td1a2d3RUyGgZ3bGxAsYKF\/z4ikKHEELITwUThc6XgIJjJT660KlC6AMFzLv7jRChfXw1+ejKfLxFCCGEnBBMFDoPQD+2MgLD\/ISBFzpO3LT\/BRUv8roKnfELyFiXloV2+WVkQgghPwRMFDoPQH9I8cXcRo5CBo\/b\/P69HrzFPP8\/5LXf5hHad31E+NRjFDmEEEJ+CJgodAghhBByKjBR6BBCCCHkVGCi0CGEEELIqcBEoUMIIYSQU4GJQocQQgghpwIThQ4hhBBCTgUmCp1vC9463rEPCbS3l7+ZpyXbW9tf3+szeMZ6sU78FfbO6+cHPrywPsvHHTNl3c9d+HqXDzY0zyFSSl+0ztKmLY99ut2vuDebh5\/ueBTS7+Fp2gv0EQTmmU37yX1V3xVfXljPt6E9ruE7PZbhdmNz6Hq8KXVdiq\/T+liN2\/5m39b6sY3115E5I2P2ZevH89HXmTj\/CJgodL4zPuCb13rxwoRJC3d\/bR9iWC70ukC6evU5QDjx\/IMK6+s0Sf0im9rF83NwNk94buy76L09+Vix3\/Uz9sMtg1fuz5csVPoAyYMLfuS7XaQAoH7Lc+W2geYJcdfA\/bnVPJJr6GYi9PFBWNcQXZfin7Ap3GFs5uvHHihWbsly7A+AiULnO9Mu+Ghx04A0CehbC4XPlyCH73C6sHETMi0Stk1duExQrHWHNuxZMOJzejuSjzZEYmC3QMhBvb5Ti8sEASr5oZ9f34VmH5Y6xYdtl2noj\/ah5LVyI6No2WHvBeIooX0qdlqRfDn53Zv4ofhnfCc38UMSXRIQpf+pzHv2N\/ox113LjtdBHRPlRcfC+yScnwraJG3LNWCvjV5vF\/0bY17mSyvn8zfmA7bZd2a3y1Yf6XzA\/03ZYW5C3qReZekHqfPN2GzLKo8WOtP1Y4s0F3tffH\/MPHS+bD6a+nhCbVP9iv\/7\/ARcU+X46x+Yb9j2Vr2TMcc+pmMwn+t8WvnBzH\/J82+C47m0DSYKne8MTpBoApgF1E74ZbAzC4kuTjYA9Ylnj9e8fqHrhWHP6QuY1Du8g10trIUt2x3xgint7LxgPiRwtP\/D3ZCoH4LxYb7QZ36xed7fo\/8zsa827dU5seXjB6LzpY2n2tbGZe2HtHCmc9WXTnibespr7LMbG2PD5JyMt0nbtgs+1mNfr8ZckbqnOzp\/ZVxrPWpDD8S2Dc3DtcDb618L6htYP+xubTzHturd9gP6O7AplXms0LmOiZ9ULOA89K8T0v+LdvKyH6to6P7ytuh5dr4Y4T\/YNKt3PeZ23Rf8NSfrErZp54Ozx10n87m0BhOFznemXfAyWYYLyAMTyky0gLr4FeyC3BfDcDHSiVon+HAR2Yt6LC82mot05MhEV+IFc4+\/Ml3UKeOCPF2o3GKsdnc\/uvZxPKJFfHIsEizb9m77+JFMA+uGH8zCXnzZjqXFEv3gfaGLNORF\/tg7Do1oHuCxxZgP53qcvS0wBGV0XtR29vRh2afJXFnWu8MPGNiUoL74ui0sbf4KYj\/ZuT07thr3FW4+VcQ3uHZXZmJcGa7BSb3zMc\/\/43o0CB93TTYb5PgYX+q1ujWXVnwUiZMThc535uAF3xYPnZTRZK74CezOjS7gjkzEpPT1b6DyYbKbCZ9wC0bQv6NCZwwo+Zi\/uEJc2XjxnVx4zvaHCJ1d9saL8ldxL6Gza3wLdmwKe8ehsbUoL8Z8ONfi7es+C8rovKjt7OnDsk9urtRzl\/Xu8IOff0F98dwtLG3+CoI+CdE6OR6bj\/saN58qG76J5vpwDe6t1x1r4kaO27VpMo\/0\/+BapdAhlmHywYQaJpud0MPHGotg68WFv1j9xaOvf4nY8e2Pi5eftIsLojIEiC2kDRRc6hf\/jnKC7ZfYdnBHBwOOCjxT1zTojfXtFSy77FVbXLlbkMY89M+aYZFttq390P\/vvjTHFn2M5iu+TkRzL80lO3d0ca9jN4yTqaPbmdgQOviO2FyraS51G7ztaUevtbNjLoX9rDg\/tnP3jk3B+8FcC8H5k2ONhc2p\/zuv79sxmW9DEHdzIDH6ch9RXco4R5F0nRpbfT2LenfMJV1b9PtXpt96HOrEa2bwnZ4L68h6Lq3BRKHzbZEJAjsjjTppdEKI2MA8u7C68m2ywfF2TC+eXD4HNChXGC5oOYbtYbl8Lrb\/+vnfk3qtzaUcXhi7sG3tXwSxnAQUCTi9POb1c\/pFmX1W23xL\/dP8fjz1LV3Y+XXzoSyQvU4hXHhcAEys7C0cFor7sAF2H21OpPEEf9V6Zn5ox7Vvuc99bpb++rLgh2EOR3bPFlQYL8X60s+J2uaOMRfQLlOvaVOCp\/raXZu9nNiN5RdzKYsCZOGjwp56534oeRKIX8FmLDu26+e4MBsbWKfGvPsQ+amPqR0b2xfvI58\/Z9NHbo5ivpZ9lTcXs7x+3OYllmOulP4G6zPONf3yv9oXr3d1raxzZjWX1mCi0CHfjjHA\/1BkgTi6qN\/Hd7oYnWxMpsGUXIcKnaNvVByzsUkBfn8g\/IkkoQPi+sxgotAh3w8GoYK8gzqy7a2BINq9uBat99rg9WykoHnsHSTZwu5wXBJw685AKPB1Z+Ae8\/ss4M7J2a7XAEwUOoQQQgg5FZgodAghhBByKjBR6BBCCCHkVGCi0CGEEELIqcBEofMAolsQlfRlvPalx07+ol394p79MmSuK74lMN1aWr6MF7fJL1YSQgg5P5godB7E8ETMd\/cwqehOIj32D94OqLdmyut6nrvLwD\/LxLc52EAIIYScEEwUOg+iiozpcwxmQufPR7uFOJXVXRsQOqvnqPQ2F08ZJYQQQk4GJgqdB4FPhjwmdPSJrypUyjNT3Hnm6abuGRI9jw\/YI4QQ8nPARKHzIC7f0ZFj8le\/x5N2b6LzClo37vBwR4cQQshPBBOFzoPY\/H7MSujI\/3\/fP\/KTLBdCJ32HZ\/EdHUIIIeQngIlC50FcK3SiY\/rR1OoLzb7N6W4SIYQQciIwUeg8ABUY7Xs0\/hZvESfx7eXwq63ld0mwHhUs+gONL+bXcXvdts0OhQ4hhJCzg4lChxBCCCGnAhOFDiGEEEJOBSYKHUIIIYScCkwUOoQQQgg5FZgodAghhBByKjBR6BBCCCHkVGA6n9DRH7oMbqu2vwgOuFu3\/XNp2hOJg3r7uXAruDk+5in49GJzG3ixpZclhBBCyFEwnXJHZ\/jJg+HBe+V3o9rreuzl88U8WVhf9\/NsvSqa3DNx0i+S26cTJ4YH+fnfnsr2fPCnGgghhJCrwXRuoTP9de+Z0AGxobs58hrP8wLKv65PIh6eguyFVhJEQf4gyAghhBByFEwnFTr946CjQqf+OngWMfa8mbDJr2EnZyZk0mup8x+7o9PrjewihBBCyBEwcUdnOKZCpH5fxp7nf1bB1G3Ejfv4SoQO\/syD\/Q6Pb8OKKUIIIYQcA9PP+I7OwEroyP\/\/fnx+BDssq3r1BzZRBJnftMIdHRU9CxGkxOKMEEIIIXvARKFz4Ni83uALyLjDYz660npempgZ64zsIIQQQsheMJ1P6IjA6Lsjwd1Nk9vL+45MKYM7LSpipvXC7ePBr4y\/\/PnvIb\/a8Z\/\/+k87L4siqMv\/yjkhhBBCdoHplDs6hBBCCPm5YKLQIYQQQsipwEShQwghhJBTgYlChxBCCCGnAhOFDiGEEEJOBSYKHUIIIYScCkwUOoQQQgg5FZgodAghhBByKjBR6BBCCCHkVGCi0CGEEELIqcBEoUMIIYSQU4GJQocQQgghpwIThQ4hhBBCTgUmCh1CCCGEnApMFDqEEEIIORWYKHQIIYQQciowUegQQggh5FRgotAhhBBCyKnARKFDCCGEkFOBiUKHEEIIIacC036h8\/76+evXr8LL59u\/mP\/x+frP2+dfPP9K\/v55yW3duN49aNuv73EeIYQQQp4bTDuFzt\/Pt39ePz\/CvHsi7f5+vNCZImKPAogQQgh5bjBtC51\/3z5f2k5O5uXP35b\/8bscNzsvKozk2G8RBpr3+6Od14VCOSeoszMTOlj29fMt7f70Xaa2G6QYuz6yPVLmw\/xf8qGvXtC0fgL5nD19deXlHKybEEIIIbcD0412dCJBokIiiw8VHlnIyDEI8h\/v8P9v\/3GYEgsdFQ1NRBRx0l7rR2woJPxrIYuO0p6Uf\/Uia7ZzM93RWfe1H8vn+9eEEEIIuR2Y7it0WqB\/LSLGCR2zS7JX6IzHVDhUAfLxe7TTH4vOMVwidKZ93dcHQgghhNwGTF8ndEQ02F2Oeg6yTyRQ6BBCCCGkgunLhA6Kk3R8946OChU8V8vaj66sGOltVm4idPQjs\/b9n62+OhEXfVxGCCGEkJuAaVvoSHDvHy9l+k5MFhk2X0WICqN+rooa\/AJwLo9lRfSIeOlfDJ7VW+0ay3Zh0tseysGXjSt2Vwm+xFwxIgnbrbYe7SuWJYQQQsitwbRzR+e5iT\/2IoQQQshPBNO3FTq8XZsQQgghEZhOsaNDCCGEEFLBRKFDCCGEkFOBiUKHEEIIIacCE4UOIYQQQk5FT5+f\/w+o7gAxRLnLVgAAAABJRU5ErkJggg==\" alt=\"\" \/><\/span><\/div>\n<div style=\"clear: both; line-height: 0; width: 0; height: 0; margin: 0; padding: 0;\"><\/div>\n<p class=\"P11\"><span class=\"T36\">Repare que os\u00a0<\/span><span class=\"T35\">arrays<\/span><span class=\"T36\"> (vetores ou matrizes) aliados a estrutura de repeti\u00e7\u00e3o PARA \u00e9 um \u00f3timo recurso para algoritmos que precisam de muitas vari\u00e1veis do mesmo tipo<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recomendamos esse estudo para todos que est\u00e3o iniciando desenvolvimento. Nosso objetivo \u00e9 que voc\u00ea amplie seu conhecimento de l\u00f3gica at\u00e9 o n\u00edvel avan\u00e7ado. Inicie com o exerc\u00edcio aula, vai ficar tudo mais f\u00e1cil: Seu primeiro exerc\u00edcio Cap\u00edtulo 1 Aprendendo a Programar Computadores O\u00a0principal componente de um programa de computador \u00e9 a sua l\u00f3gica, ou\u00a0seja, o [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-11520","post","type-post","status-publish","format-standard","hentry","category-ultimas-noticias"],"_links":{"self":[{"href":"https:\/\/www.fuctura.com.br\/recife\/wp-json\/wp\/v2\/posts\/11520","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fuctura.com.br\/recife\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fuctura.com.br\/recife\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fuctura.com.br\/recife\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fuctura.com.br\/recife\/wp-json\/wp\/v2\/comments?post=11520"}],"version-history":[{"count":41,"href":"https:\/\/www.fuctura.com.br\/recife\/wp-json\/wp\/v2\/posts\/11520\/revisions"}],"predecessor-version":[{"id":15246,"href":"https:\/\/www.fuctura.com.br\/recife\/wp-json\/wp\/v2\/posts\/11520\/revisions\/15246"}],"wp:attachment":[{"href":"https:\/\/www.fuctura.com.br\/recife\/wp-json\/wp\/v2\/media?parent=11520"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fuctura.com.br\/recife\/wp-json\/wp\/v2\/categories?post=11520"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fuctura.com.br\/recife\/wp-json\/wp\/v2\/tags?post=11520"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}