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<flowDiv xml:space="preserve">Une des fonctionnalités d'Inkscape est la vectorisation d'une image bitmap en un élément chemin inséré dans votre dessin SVG. Ce didacticiel devrait vous aider à comprendre le fonctionnement de cet outil.</flowDiv>

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<flowDiv xml:space="preserve">À l'heure actuelle, Inkscape utilise le moteur de vectorisation de bitmap Potrace (<flowSpan font-weight="bold" font-family="sans serif">potrace.sourceforge.net</flowSpan>) créé par Peter Selinger. Dans le futur, nous espérons permettre l'utilisation d'autres programmes/moteurs de vectorisation ; pour le moment, cependant, cet excellent outil est plus que suffisant pour nos besoins.</flowDiv>

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<flowDiv xml:space="preserve">Gardez à l'esprit que le but de la vectorisation avec cet outil n'est pas de produire une duplication exacte de l'image originale, ni de produire un résultat finalisé. Aucun outil de vectorisation automatique ne peut produire cela. Vous obtiendrez un ensemble de courbes que vous pourrez utiliser comme ressources dans votre dessin.</flowDiv>

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<flowDiv xml:space="preserve">Potrace interprète un bitmap en noir et blanc, et produit un ensemble de courbes. Nous avons trois types de filtres d'entrée pour Potrace, afin de convertir les images brutes en quelque chose que Potrace peut exploiter.</flowDiv>

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<flowDiv xml:space="preserve">En général, plus il y a de pixels sombres dans l'image intermédiaire, plus la vectorisation générée par Potrace sera importante. Plus la vectorisation est importante, et plus le temps du processus sera grand et plus le chemin résultant sera important. Nous vous suggérons d'expérimenter cela avec des images intermédiaires plutôt claires, en les assombrissant autant que nécessaire afin d'obtenir les taille et complexité désirées pour le chemin résultant.</flowDiv>

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<flowDiv xml:space="preserve">Pour utiliser l'outil de vectorisation, ouvrez ou importez une image, sélectionnez-la, et lancez la commande <flowSpan font-family="sans serif">Chemin &gt; Vectoriser le bitmap</flowSpan> ou appuyez sur <flowSpan font-weight="bold">Maj+Alt+B</flowSpan>.</flowDiv>

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<flowDiv xml:space="preserve">Vous voyez trois options de filtrage disponibles :</flowDiv>

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<flowRoot style="writing-mode:lr-tb;text-anchor:start;text-align:start;" font-weight="normal" font-size="8" font-style="normal" font-stretch="normal" font-variant="normal" font-family="serif" line-height="133.00000%" fill="#000000">

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<flowDiv xml:space="preserve">Seuil de luminosité</flowDiv>

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<flowRoot style="writing-mode:lr-tb;text-anchor:start;text-align:start;" font-weight="normal" font-size="8" font-style="normal" font-stretch="normal" font-variant="normal" font-family="serif" line-height="133.00000%" fill="#000000">

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<flowDiv xml:space="preserve">Cette option utilise simplement la somme des composantes rouge, bleue et verte (ou la nuance de gris) d'un pixel pour déterminer s'il doit être considéré comme blanc ou noir. le seuil peut être réglé entre 0.0 (noir) et 1.0 (blanc). Plus ce seuil est grand, moins les pixels considérés comme « blancs » seront nombreux et plus l'image intermédiaire sera sombre.</flowDiv>

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<flowDiv xml:space="preserve">Détection optimale des arrêtes</flowDiv>

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<flowDiv xml:space="preserve">Cette option utilise l'algorithme de détection des arrêtes énoncé par J. Canny, afin de trouver rapidement des isoclines de contraste similaire. Cela produit une image intermédiaire qui ressemble moins à l'image originale que le résultat d'un seuil de luminosité mais qui contient souvent des courbes qui seraient ignorées autrement. Le seuil à régler ici (de 0.0 à 1.0) ajuste le seuil de luminosité afin de déterminer si un pixel adjacent à une courbe de contraste doit être inclus dans le résultat. Le réglage permet d'ajuster l'obscurité ou l'épaisseur des arrêtes du résultat.</flowDiv>

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<text id="tracing-f03-fr.svgtext1500" style="writing-mode:lr-tb;text-anchor:middle;" font-weight="bold" display="block" sodipodi:linespacing="100.00000%" transform="translate(10, 856.5687905999999) " font-style="normal" font-stretch="normal" xml:space="preserve" line-height="100.00000%" font-size="6.0000000" font-variant="normal" y="97.37867" x="244.99974" font-family="Bitstream Vera Sans" sodipodi:insensitive="true" fill="#000000"><tspan id="tracing-f03-fr.svgtspan1501" y="97.378670" x="244.99974" role="line">Arrêtes detectées</tspan><tspan id="tracing-f03-fr.svgtspan1503" y="103.37867" x="244.99974" role="line">Contour, non rempli</tspan></text>

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<flowDiv xml:space="preserve">Quantification des couleur</flowDiv>

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<flowDiv xml:space="preserve">Le résultat de ce filtre produira une image intermédiaire très différente de celle produite avec les deux autres, mais pouvant être aussi très utile. Au lieu de chercher les isoclines de contraste ou de luminosité, il cherche les limites des changements de couleur, même à contraste ou luminosité constants. Le réglage ici, nombre de couleurs, permet de déterminer le nombre de couleurs que l'image intermédiaire devrait avoir si elle était en couleurs. Il exécute ensuite la détermination blanc/noir d'après l'indice pair ou impair des couleurs.</flowDiv>

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<text id="tracing-f04-fr.svgtext4629" style="writing-mode:lr-tb;text-anchor:middle;" font-weight="bold" display="block" sodipodi:linespacing="100.00000%" transform="translate(10, 1100.1865665999999) " font-style="normal" font-stretch="normal" xml:space="preserve" line-height="100.00000%" font-size="6.0000000" font-variant="normal" y="97.37867" x="156.37865" font-family="Bitstream Vera Sans" sodipodi:insensitive="true" fill="#000000"><tspan id="tracing-f04-fr.svgtspan5892" y="97.378670" x="156.37865" role="line">Quantification (12 coul.)</tspan><tspan id="tracing-f04-fr.svgtspan5894" y="103.37867" x="156.37865" role="line">Rempli, sans contour</tspan></text>

<text id="tracing-f04-fr.svgtext4634" style="writing-mode:lr-tb;text-anchor:middle;" font-weight="bold" display="block" sodipodi:linespacing="100.00000%" transform="translate(10, 1100.1865665999999) " font-style="normal" font-stretch="normal" xml:space="preserve" line-height="100.00000%" font-size="6.0000000" font-variant="normal" y="97.37867" x="245.12865" font-family="Bitstream Vera Sans" sodipodi:insensitive="true" fill="#000000"><tspan id="tracing-f04-fr.svgtspan5896" y="97.378670" x="245.12865" role="line">Quantification (12 coul.)</tspan><tspan id="tracing-f04-fr.svgtspan5898" y="103.37867" x="245.12865" role="line">Contour, non rempli</tspan></text>

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<flowDiv xml:space="preserve">Vous devriez essayer ces trois filtres et observer les résultats différents qu'ils produisent pour différents types d'images. Pour une image donnée, il y en aura un qui donnera de meilleurs résultats que les autres.</flowDiv>

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<flowDiv xml:space="preserve">Après la vectorisation, vous devriez essayer d'appliquer la commande <flowSpan font-family="sans serif">Chemin &gt; Simplifier</flowSpan> (<flowSpan font-weight="bold">Ctrl+L</flowSpan>) au chemin résultant, afin de diminuer le nombre de nœuds. Cela peut rendre l'édition du résultat de Potrace bien plus facile. Par exemple, voici un exemple typique de vectorisation du « Vieil homme jouant de la guitare » :</flowDiv>

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7mtKgKfCuFtySd4rGXQ2vSM65Yu2rx3HiwVHdD3PyM1MsNxrHLVXKXj/bHiGD4iAauNq4+usdNb3dn3FFm89onzSTM9q57saN+0XMd1aNv8WraK3MpnxU65SXy8TIt3EhR4gIJP+4+tZtyw4WSZcsR8QdCyba4tvpGRqx7DN4LHZrJYDWB6gnf2p/JrtPTfSP0j/hnmdSxSxylsXC4Cl18ojv6mp/LfkX0knbR9S6beOFl4GX0641wFDcybTjSWWIeR3IHpXTHVy3vlm8RKxblqxgFreUWYqCLSBkHHY/zrrcMqzLNFTqeJftWrecmi4+w1c6o4kfrU9OeE3vhV9V6ZZyMa6MJxIBk8z8ventdap6Scxnb3RruP0+7Z03UuadWmfqKS8JZdqvA6zmY15Ge67J6NuKkvPK1ZZPWMu/a8ZVtqoJUqo3mea1ZO4z7b4ZG4qtkFSQoJIk8CubcBusukqh8sigCRQJFQPttpYcH2PeqqdfbFv2NVtCtxdIgtM+u1BAI8vrRC2t3ANFiSFI7Qay07RpRmO0ChUM+/JrTFbD4HyWuNm9NdBcs3LRuwR90jb/cVjOcyt488M91PGGN1TIsgQquYn07Vv4wjcVFd2oFXkTUVscED+z8bY/ul/QUVaADxrgJGpTEe1ehyCcENuY5gVuxnYLW9dxAGkd19aLKqnZQzyCPNAn8P96zV20nSk8FrlsAFFiJPrv8ArT4L7HYXsXHukQy7GPzrlW4s3dMmwL6zqQb+prnWtoxIdSeQYIkcivPnfXmNybQL+NdX9pb0hWM7j7tb8WXvOWc5ro7C6hlYJY2FEn74uDUD7ifaut8UvDMysW9vrL3WB8G2jqNvDGnb5T71L49NTPfZvSurdL6r1C9h3GvWMxVGq08qzR35g81rVnMPaWC53S8BUKNaLOjRAIJPuDM1vDO1i4xkurdNvZ9h8eQFUalj74YcVvLbGlJg9Zv4lxce6YdDpuauCPWs28aNarUW+oJk4qDJtgXBuHUzxx9IpMddNW/tS5/w9ZyFa9gsms7tabifY1nLhNbUly02E2vwit5NmR/u3B7ehFalmmdKvr+E2B1DQVgXLNu4voZUT+c1m9tzpTsd+B9KgZQdUHT7/SqqVi3ktyGU+Y6W9IoAMBpMUQ/Htk+b1qVqRIYkNsN6ig5DHSFJ53NWJQIBAM1WWz/4eqqZnULumT4Hhg+kkE/pXHy/G8Pqt+L2tN1si2DKr5m9d9q648Rm9qIwQJoFjj0oHlR2iKK2OAinp2Lv/dJ39hUVY47eJpd9K7eaOZFejfDjQ7q6iV1DefMRMV0ZMx7SpALkkRvU0qqv2j9puKy7EzNSi6wshkxrdwqdgEeD3B2P4GitH0rz2bqEeYMSN/XeuVbxTLNz7PdkkaAd5rGttXhKezoYhCHU+YR6VxzbgeRieJ5Q0o4g9iDXPGWZbjV1ZygXMG4pbyNPAgzXrmU24WGYuJfR5csDEb+lTPJcUTq/TWXPHULBP2pADaZTGwG4I796147Z2ZT9JOZ1zp/WcZWvLkWc1QQLtoGF9Z/CtTH7KzvcUo6xlYcNkBr1k/duFSCR2q3OVOYqOuZuNm3BftWxZuwZVhs1c721KqMXrF7F8pnTw2+w+lWZ6LitLPxLYP7NwQi/dK/yrdzlY1Y0nTGxuqrZm5aukkgLyZis3pfqn/4odPGN1Tp120pC3MWInYEMdvzrOtNsCRBqBhmgTeoEqhwPpQOnUAvFBIUBWEHaIqNHgw8neoIjtqcn3rUZpvvVR6H8H432ToByCIa+xefbgfpXnzu85HWTWO2N6w5u9WvuTJnevRXGIa77HsKilYmB2io05SaDY4Df9Oxtv7pP0FRV4NNthMaSCGB3M16OnKwO6mpAVXlo3rptioKqNJ1SGB7d6t6IgXdyzwwkmWrK2JXTshbZdCA6L5iPVf6VLSNNg3vCLbhhJUEd6xrfDpOJtOs3reU8iR6gjas2epL7LVCCqwNwAB+NefPTpEbI8Vbh1HyzsQtawsvCXe1X1v4gXoPS/FtqLt5iBpYxzP6RvVnOTNvDJdM+L+sN1O3fzVD4jMA6okaAeDPNburElra9Ry7Pg6w4Edue3Pyrnhk3kynQepXMvOup1O0VxgdSuvlAM13mstxynDTXPiy5mNet9F6C+ZiWADecwI9Y9a5+uOPbftb8QXTp3xDj3LlvHt2b1o/tcdk0sFM8T/tNdNT9o8+y+n2k6scb7Stm2WIDXJIHsYqXFJeOVrjdE6Ol1Fu5j5NwnZbY8p9qmtFrV4th8bKtHCxsYuABJvMjJt3GmCK6cVlA/wCJtzxcbpMDzq1wGOIhaxnw3Hm7iAN5rIEdxUV1QIKoUbj2FA+2vm3G1CJIiBI59Ky0bd1LbJjeqzUMA1UOVS5CidTGAB68D9aXoetmyuD0yzjgiLNsL+Arz485bdr/AI6eWZTm7l339XP616a4hiJqKUiainBfKSKDYYA/6djbH90n6Coq+soXsC42jVJgMOa9FjkhW8i5c2KiZnbtW8WaS+j2rbyw0xMRya3Zwiu8rWg1vVqIOpXPPyrnV2jLcfFyEe0sAbw3eeQfbms2G236X9k6t0+3aw0+z5CL57ZJO47gn2rFtxdZrKaNuXmsXBi3kOkEQRsZ96b9omtVf41+w6brH15rzZ4ZbbmU0TKy7Ny2besKYmZ71mY5StbleafFOPe/tDEa/bumxccEkAxzG1eiXhzsaLpOG2rLN60Rbyr5dfLwi7IR6RFMrEgmfiXzm3LiE3bf3ZI7+w4NYmeM4bstOw74zVuYd3G8PKskC5aaDseDI7Viy5f2huSaV+b1LK6ZkX7HQL9truCrXcoBCVAkAqvqRMk10mUx7T/iVY6veupZ6pdtMWdALjWkJJ7ia62SzcZxtl5D+JuiYfWekN17o/mayQb6ARA789xXOW7buqwNq7dsXhetXSlwcH6RWmLGp+GeqDLzBi5TEXOLOQv3gfQzyK1u1OFj/wAQ0Zhg4hZS9pS5jlif/wCGlV5xcUhv51lQiKgSIqBtUOWApHvNAZFIX8zUUQKWYFfXeooOS4NwqCYURvVjNR6qL34SwftnxBZd1m1j/tn+nA/EisZ3UaxnLf8AViRi3BBkITWPH23n08o+85MEgydq71zPj9ODWR07A0D0+7H51FbLAI/s7G/+pP0FFXeorYKou2k8mvXJtxqPCWiALagsBJnsK3MWLQzkP44WLbAsSFbiKt4IjeFZef2Zkz9wzFY0EbpwuR4dxQB97VzSwSMTGu4mQmQl4HwwWGgzwO9ZuO41LpIbrHUb6RlWkvnkXFUqw/Igisfx66X332VM7KGstaRIEjfSDS488kuyHPdVW9eNsoRBHiST9IqVqRIfq9tbNu14DXlA1CGCgVy9Ntb1wm9N+JsAFbeXauYsbA/fX5yP5VMvDn3Fmc6aA3LGXZF+zcS5aPD22BDfhxXHVnGnRhOldaxsDqnXr+YCcs3He20nzIu2j57bV6MZ/Vyy7UfTMp8Sz1G/etl7+VZZBB4ZiCSazljtZlpY9B+NW6YrWcnDF3ywroQNh6r3raCZfxhg5du5Zt4V+x4qsrvaZVDT6qNj9d6vBWVNjTcCiGgAA0ZTbuD4TBTtcW3qaOZiZ+dNjsrq+XntZOUS72rfh6jyR2JqNKm9a/bMAsDt3oANaIWY9p7VAzSKgbo2NULaQNdVZ2PNSk7TriCB86jZjLoBbgDen1KgMSWk81phwWTA5qjZ/BZtWszIxWKhrqKVY9yDuPzrl5f9N4XV5XnxFmNidPv3LbQSugHvU8U5XyV5sASkehrqw4/eqBQJjcUBVSV2BNRW06eo/szF3P7lO3sKKDe67au2Yt2XHAkxzXoxycriS91NLTqLttxAgeXma37xj0odnqmMVOpTrUyC0CdvnU99r66OPVcU2CAl0H123/pSZyJYYc5RbFybmknYAz+U1bnj+zVIOqWVIW2rAnnVI5rPtFkoDdUQwSSzjbk7flS5GhD1G2QDcRj22ck1PaGhsbr5tKU0BlOwDrqrNsalpLvV7DMZxvDG2yCKbmltoTZluVIsSCuoEP8AMb7e1XeonYGBmZnT8hruHdayHMkA7fURBrPrLDegRL32d21FmLE+pJmakmuC3aSwuri3Et7KTvPYVNHaqK6WIgH51luBhRqWTtNVU+ybZtaQIaZBrUjF7HtG59qY/eGscn1qaIC1sI7KRLTuaaXaG+stpKk6fumO1FAvMwt6O3O1QRQsHeoOIMEdqqjYluQxIEesVm1ZB3k3ArbbbRSKBlNFsJzO5qxnJEYGe0kTVZSMO0ztrjZf1qiZpe3cDIxVlMhgeKC56j17+1Oh3LN9VTMVhMbK49RUxw1dxq3fbLryd6iHlSRI+tA5UBAooqodJMH2qK2eBqHTsUR/cp29hQUWWjsZtqgx5lWkb/8As11ZqG4utdcgSZ1GOKrA3n2DEatMnyj3/wBqAKh7kMSW5gRxtVE1LdwWAqxr3MB+1SiJctHSxJOxAk771FN8NdMzA9qiJNmyb1zQIG0yxgCOaaBGx1t3RwUImVJqKbkI7XBdSyBaiB39a1ADxAp2nTsdNWok2iCW9DvWsemaddlbioANM7RUy7IdcuBcPSPvN+dRVe9osC3qazpqUAoQxDbD1pppNxwjWypJgDtV+M3s8lbeQxtsWRCQCe/pUDnKC5cJlfMSojner8EJwqvbJuh2J3Vd4HvWVc+FeugGzj3Wk7QhrNzxndamOXyBnpHUANRw7oA9VrH8mH7a/jz/AEjZGPesga7VxZ/xKa3Msb1WfWzuJ1i2othNUEd/WsXludGsgLklt6sKrrlwNkkRqXiPWtRihkEsFHJqsrNB4dvQo+76VqBq3JQGfnQNvW9aHSJbkepqCKohvpUD52qK4SDtxRRifJPp71BqsG+v9n425/dL6+goqmN4fZLdtZhCZ25musYcri2WLAmQGIO9NodM+fxoUuR+X6U2gI1NrCgAz244qgthHe0RKqCpZfUkVLV0HdRklZET60+AKHyiRwKIkWHVlhtRMc+ny2opzBjpCjyfxMTEb7D8KlDWdUS4Gt3JC6UI43mn1UaI9K1WUm0+mQO+wMUl4pYlpZe4uqQdI2jvWtftgy5bm2oPDGN+azpqIORf8BDbU6nY7nsBS3UWQCSUJO45BrLZ6syCCSPf1ptLBRL22QA8yZPNJE2sMDp9zPnIf9ljqd2G5Y+grz+Xzzx8O/i8Nz5XNjDsWBpt2USDuxGpj9TXjy8mVvNeqYSdQTItHwlaTOqRJ7VmX9taMVSWmZ77mpbEVvV7jpj+HrY+K2yz2HNejwa3ty8l4UoH8QAHyr0vPAtNy7c021LtvAG804i81W6WR4YMGHIOxBrpLL058y8i2RuWPpz6VeES2bTdWTCtsTQDU6LjIR8qBzXtEyu/b2oI7OWJbj2qVTQwmKiCKZBmjTpOk+k1BqMO5GDjj/8AGv6UFMpBFshYDLvPeO9dGR7b6gVCkK4Ck88f+miGNpkWkA8sSaBiP4JgAM08dqoO18Wwq6ZVk3jkgniqhzIn7VYDsqkwon2qKiSAGUg6wYFAogSSuoDt6mgl28d2steuvpAHlQHv8jzUqwy+zG6bRXSGcQTsD3pCgeGS4VvICNiVOwrdjI9gFdaEHkEGPvQf61NKtLHhroYnzADb1NbrnEDKKrduGYKnZT3rF7aioyCDdBO4Lb1itzoYDyQux962EvzpViNjsIrNnGy/pYNiqMo4tsubrPo57RzUzsxx9quONyuo2GPh27Fm2ir5EEACvjZ+S5XdfTxkk1BGS2pUiSed6zKugSV0kAAiYrWgIMDc0kD8O00k4Ss11PJN/qDlSNKABf8Aevf4sPXF4vJlvJFQqQQQIPet1mLHo2KSDljbfSm34muHnz/+Xbw487TcrEx+opoycdG3gXBs6+8/zrnhlfHzK7ZYY58VmOp9Kv8AS3EnXZY+RwPyIr2eLzTyPF5PHcETV4lsCJI5Brs5nWrmoabg7c96IBdcMxgEAetFIhrI48yKKehgzNFcx9Kg1WGq/Ycf737te3tQU/m8FGEBQk88bxXRmpGNdFotpA1T39aMn4F4LkOf+0hp/wB6ulgUC6XYgKR5pjZo7UCbv4d1vLbHERsBQH0Kt9TqIlfMF3LD6dqAORbL3bly3bYfxR6D1qAKI0kgyw3IJ7etBIxnYXDF90IUk6d4BB29qKPpV2CBlAADTApC0y8j32RUABBC65mT/Wt2sh20LlvELa0n+orPItbThNBVNRC9xsD2rtZw5yoOQim/edu8med643huKh4a8uwmZ471luDhZfjYjb2rdZ2S+oaysGdhMevH+1L/AIn+2g6ZjBuuXLziSqahPqQP614/zMtYSPT+NP7bae2E8M6eAYFfJy290Ne2rEGQIq7sVH0BWnYgelb2Ima3g4t1wZYmPqa34ucpGM7rG1lXRQxJJJnn1r6UrwU1VAgbkuwUfOpb9ak+Rq8eymLZt2RvoWD7+pr5+duV3XtxxmMkKbaT5dJMzPv6Umy6gX7LKR8fJANpwRx2/wDd61zjZcWcr7TVYnqGJc6ZntZbcLuD6r2NfS8efvjt4M8fW6RnuW3EgEMeRWt7ZCG5maB0xxUHGgX0opw2EUVqMQ3fsVjyn92v8R9KCptD9mmuNBM6flW2RTtf1M0aiCAu0TVZOYrpa4zA6jvtFFCDtocLLJJMARQHfQLBF4aX07KoG3pJogy3lYoSxtAIN1HaihZN0a2CPqMff0xtQDs3LQuaLw+9yxqAKswVn2IJ3IHt/WroSFuN4vjPqPlhdJ5IHFBz3ma194qSd1G5mqhbF39poPLbE0l5Pi3tBjdOllEACPWumXbGPSL1INYSfXkrtXPORrFStcBvJ8yCPesNwTxIg/St7Sw12DKVAiTUt2aaX4fUvfvKGEhAST33NeH83rHb1fi/WitqEsCf4jua+dlzXsgAdg7A7jUePyrWuAhEvwV0gmKb4T6pus3T9oFgdhrI9TXq/Hmp7PP5/wBKRlDMZ7HivW8+krpFg5HUgzLKWF1H/wD0eK4+fL1w/wCu3hx3lv8ATQENwjbnea8keqnBCqFiSN/WraaRlAN5gN4OwrfUc4pfiiyTj42V3Vjbbb6j/evR+PlzZHn8+PG2VPPEGvU87l5oHfSoFNUOAkVFLMWzQanE1fY7EPt4a/pRVFa+9LEgTFbZSii33YghVRCVP+KPWrEEJtvZVT5ohp/7o4q0MsFQhEgAr+0ntz/SkAURH1sZkGRP+9EFLjQWjTPJEmfnQNugG9btiACg3gmim3PDF0KWPsRU0ONvWLhtmAu5g805U5boGOtrQNKkEkjffk7UBAU8JXDFwSdQncigJh27b55CIxAMqJ/99Ksk2zVqCVvdgQeK63piA9QufswzKCIgSK559N4M8yRfQqO/Fc2xdMrHee1VCpb0sC0n1FNDQ/Czg52VJLDwtj8jXi/O/wAJXp/GvNjWELoVZ43r5k3t69oV8pakiZmTFdMcdmw3vAoTJ2WSfQVZjzIb42zF3IbJyHvMI1Hbft2r344+uMxePPLd2hO2gsT9a7aYi66Sy4/Twx+/dm6x9u35V4vN/bJ7PBNYrTGbxLrsBAEEE1yy4jps8P5mUktJ2HG9SY7LUVfvltpaNieDXW9MK74oUjo8n+J1J+e9dfx//Rx8/wDgxbcj5V7XjIOaB3vQOHaaB4+7+nvRXGAD2NFaTDuRhWPJ/dr3PpQQG/aWhxrDSRHaP6VWTZI2kggQQPSrBzjTYDq7EAgEeg9a0gDCEG0Sxg+1A+06IpLLLdh2IohtxluPqCwPTiqotu2bl23+02A3I32qAYUG+DPlLbTQLaTWrNJ3aAaKGQWhNxEAxQE8yOwBiKIn9PMG4e2oaWpEq0uFZtsjBj3Jrd6YQupOHxBAgh5qZ9NTtVWxN5d5j+Vco6V24YCfetsnCBc1E9u9QXnwwjHqVwDZfCYH8RXj/O/85r9u/wCPdVq7ghgd9tq+brXb2znpHugM06ZMVrHj6nKr6tkCzhm3EXLwjYcDvXfxePeW2PJlJNRnwQNM77AmvW8oIQ5F23ZSdV1tI+vP5Sa1bqbJN3UbBLFsWwgQDQAoHqBXzbld7e+cTRyqLSlo3mreQN3Y7afvGZ71cUyIqK5JIGy9qtuhRfFb+HgWrRMl7vPpA/8A5Xo/Gm8tvP8AkXWLJHczXseQhERQOFAtA+PLMzRXDdd+RRWhxR/ylnf+7X9KCNb8IXrgcMdogGtMg3IKAgnjcDtREksl66SiHQyqiwdwdgaog3AW1QZVCQPxigI1oLctozGCPMRv27fLf8Ko60gYkMVVEaZPJE0CeMVY6JAGoD2mrsdZbzsXKrAkFlkCKAVssH16t+ZBrKnrtDydRkmd6qGKTq344k0FliA6EEEkAtH1rU4Zs2sjYKOGcmOIrpuWMaCzirYUx5lceWe1c87w3jFNbt67krvAmK5YulSsfEv510Y+LZuX7p3CWl1H/wB+dayykZa7pfwGwUXOs3haDGfAsmW+RbgfSuN8n6bmO2hxcbpnSkAwsJLbsIL8ufmTuKzf7TlrWuksXbOamlxBHeNxVyxxs1YTc6quzem2mS4juLdpl0lkZgQfWsTw42/4rc8tdvPeo/DfU7dx7mMbuZaU/vLbliB7967XHXGnO5bVVnNuWiLWQCd4OobrUuO+VlXvSLaNknIJDaF0JHdj3/D9a83nt9dPR4Zu7XniCAI3Ama8fq9WtmrdOoht/lV0FLGY79hWol7DVijDk9zHzrTO2b+MMgN1K3jA+W2Cx9i28flXq/Gx1LlXl8+W7Izp+9XpcC81AnFAp4mgfBCBjwZ/KosKFP4bmqrRYrJ9ksz/AJa/pQVrXJeRzqI/rWmXHk7Hk80Q5bmmFQk+bkHg8itQOa0LbsWMLx7fnUHZCldB0jYRtwPYVQO041EMobV6tSIEWXlZ2O0mTRT9StaVHLEgmD2E9vxoBCSsATtJJqB42CqJJ33/AKUD7SqIVgxEdu1Ii4xNNt2aJMQu5rpGVgOn9WykL2MLJuDmfDgH6msZeTGfWpjaPY+Cut5tw+PaTFttBLXW3H0Fcb5sXSeOrvp//Dzp+M+vMyruTH8KDQrfPvXO+W3pr1atExul4vh49m3jWgOLa6Z/nWZLeV6iqvXzkXNQfTbG8jafrW9caSVC+1Y9jLR2kqF0koSNPerMOEuWqkZdpr2Oz9PvIbhEw5qXePazVU9/Ou23VMlzbnYh+FPr8q7+PWTnluG2hZv3Wx7l+70zqYM27ttoFwdo9RVt0kgGTZuqfD+JcOzl2rjBVzFQKZJgSRXPUvLV3FVj4ydNyr/TWEXEYvbJMh0MQQfUcV5fyMMu3p/Hs1pJKMsFSSI57GvPbHpkGUAiSIM1m/6OjtYZzpQ7bSO1JKluwr+Raw7b37xAtoOf8XtXTHG5XUYysxm6wGZktm5l7Jf71xi0elfQxx9cfV4csva7Amqy75UCjiinc7UCg7b1FEBge0UF7jR9ls7fwL+lBVknVO3rW0cLhbyvJWSdjxQcrhdexl/umeN/5VYFLg+WQwmZniqh9x/EC6m8wXYeu9ANm4j5xUDRv8/eqCG03hidpnaaim27Rd1CgknmBQSkLWnvH+IAqWPberEpvi+I1tQSCBpkfmaI9P8AhXo9rC6SmRcRXyb/AJ9TCdI4AFc/Jn8axjS67jbQOIrzZu+JYAPm49q5Yzlq113IS0vl59q64ysKPOzGvlS0C0rSPf2rr0lVvUcw21EEIFG47D3rcx3y53LTK3urXr9w2cW5+yGzXCsz8hWcspi6Y4+9PxMy5iZqG9dupqbyPqgA+kcVMc5nEywuFaZ2x+sJ9my1XVplHQ7kfOrhbjWbrJXGyuGydO61b8bFYxjZe4Ns/wCEmunF5TmcEzXuYNxel9SYXelZDabdxjOj0k1dFCuYRuuOj5beHl2ZfAyf8xf8JPf0qesyukl9bsHGvuVazdUpeU6blsiIPtXzvN4rheX0fF5JnNpI89vZoY7iTXHqulu4OGFq0QQJPJO21a7uo53jtg+u9U/tDKKWyfAtbL/3H1r3+HD1nLxeTPdVJrs5uNRHCgcPSiu7wKBRvFRRiNIIJmgvMX/4lnf+7X9KCuga4ZTz22rYUW18MsbbHzEKAR3FWI7TYKFSGDgiBp35qg4wvFci1ba4FO+lDsNuamgt7BvG4FTFugKYPNa0mzrfS8khm8DTCkgs4FT1NwNunZIUfsjDDaPX61fWm4lW+lX0a3qtMAw3mJO3zp634bGx8HqNi+txLAS3wIXVt6xU9abLlYxusjXLbBVksYiTJJJimlQXspavW9DSpBJn8OaI9c6SxPRMG6sDVYUgV5/JN10xTBc0NsSTXK41uUPIyNC+ZhA3NXHBLkrzmLfJSG0ttA/nW87pZUXMvWcVAq+Z4gau1awnsxnddMNm9RvdRvfYVO3iftCv+EVvKzGM4y5VMsY9tCUtKVSTFePK28vbjPWaD6ti/bMFkTzODqVT7VPHl65cp5JvFQYPXM/poREcMiTAYSR7A17eK8U3G56T8S9N+Icf7Bmqtm+w06G4efQ+ta+LvZhuLjXX+GethWsv/wDDyWHI7KT6igp+qZd/Ax26XmAXLmMfExL4PmAHApO9ob07qF7q3ULuTkaSy2lQsojeea8v5l3Jp6fxZq1aE62JUjUP4ePlXjsevfKs+JuonG6euMrHxMldh3CTBNd/x/HvLdefz564jFce1e7t43GgSaIUUDpqKQfWgIF2NFcHlYNBpMVJw7B2/dr+lBNFy8NCvanaJYRW9Jstm3ZL22vWbY37byRVkEzxsSxrSxoDMplifMN+1a0IuR1HxNVvYLxtO9NJaB4iOzftpYNw231rTB9q7aZGGpoiSY53qqj5Go5Okq5QMSBEDeKzWokuy/aFUMNIkxJ2mNqTpL2k5NwFbZtuoBUE6abTQChFRQbjaiJO3FA3Lx7dzBdbZGtVLCZkx/SpYsab4J6p9r6A2Kxm7iOy7/4SZB/OK45RuVdvlpyp1N+lS4HsinHvZJOpio9Tx/WpZqcL/wBMybljEQBGJZRJY/dA/nWPS3mr7ScRjMzrN/Jv3bWMhuOdwZ2UeprtvHCM6udLh9PGNZa4G1XHPmb1NeXyZ3KvVjhMYOoKLr5mPLWK3Bjb0Fmkz71i8zSqvP6Vi5rG4oNhyfvKNm94rrj5bj255ePHK/7Vj/D2Qjhbd+25nkEqR710nmxvxz/gv7aa5ayOr/D97EzSt3PwrfiWrq8sB345B/Wunj8kyY8mFxU/xDeOf0rpXUWI13F8O43/AHDY/wC9b2wXoQ04VyAAwPI7wTXm8/cj0+Dhdgh9TAAafMfceleezl3nVrBdSy26h1G9ksSdTeUT91RwPwr3YY+s08Gd9ruoZ5rbLjNB1AqCWAnk0HR2maB6DnftRSA0HAECoNVhqPsVj/61/SgAWdgEJ8vaa6RmiOgfHHmMLBHoKaNm2kPjArGoRt8+aaNkKtbYapnvtFbk4ZpyWyxJ0FiBzFXhEhg9m0ocFZEEFYjg0U649u65YXN4BifeiwptE63Rz5zyOfrTQmY+MhW0GCG4JXdv/ZpoAu3bVt1U7gEyuiN/eazQX7VY+z5LmBAKhVIOxEU2InwZmHG+KVsCQmQhtMPcCR+lYqvRry4+P5307nj1qauXEJVB1X4gtWToNw2wBARfvN/Ktesx5qc5XhQXUz+qNFxTjYp4Xhm968/l88l4ejx+C3mpKYFnDxilpQu+88n615L5LleXp9JjOCxCkSOZBB4rTIZE3BEle1X/AKSnXrhNqBuxMAeprOtKadarDGTwBHYf1rQGfNKkTG00rUWGPqsXreQh1EKQwH8QI3rHjz9cjyYe2KgsCzdXqHRXLKj3PGxXZY0n0/8AewNe/vmPD1xXdELpYhgADKmDw081w83Nd/DdRcKuq06gQ7AwT3rjJzHa5cV58UIYgjcTP0r3PCZtE/lRHBZcAwJPeg5hDkehiqOXY1Bx9qBQ0fUUVwgkCoHAcwdqqtRhr/yOP/8AWv6UEBs63KBUJG29ajFFtdRVbIBsgk9ia1KmnW86bxYWlB7b8VoJkZrXGkKoHpTaGtkuEgvPeAu1TawH7Rd51j8KbUgvvJYlpJ3g1dgtq+S3mdgJnczUHfaC9w6RGo1LUNZ7rGLjse+5mopLY80hiQeD2+VVDMW5lWMm3k4hPjW21KwHcGsqv8v4k6lfRf2dkXAOT5orcupwz9L0PH8Rr+XeHiZBfQGcTHrFeL8nK7kerwYzVq5KQZ5PFeV6Ng5bgtExMbntW8WcqgDJs2cjwJa5dYgDQs12/jtm3O+SS6Laug3i6GRqIIHI+YrNx12uOUqVZKypaJB2+ZrFbdkW99SkTwu30/mauPR9IbIIBBj6Vm1uCW2htJbjcVixuBXcXxjDEN6E9q1jl69M5SZdirg27CLoLaSZ8vate9vbEmiE+G6SNjKz6e9TvlMmLz7QxuoXbZHc/nNezC8PLlNVWlIaK2wVLZuXAolpopsTxRCgUCkQKBp5+lFECkgTUU4IOByaFarCRfsOPP8AlL+lGds2GgrttNbinq5PsIIqoLadieJIE1pk5Q7DZe2qgGxM7ioQ0ncQB60aPDnbbf0psEktcUMDtsY96VC3VW3dCggLyPNNEcuk3IAZmOwCxvUiiCytp4uecj+EHafnVRNtMjNo16B6RArU6Zc6hSSIYgzV2RcYW2Lbaf8AESeO5r53nu/JXs8U/oMMlig1bfKuXq67DyLo2P3iANjWsYxlVfn4Vi+GuAeHf3EgbH0n0rrjnZ2xljKgXL+RiFUybZb0uqYb8e/1rp/XJy5xTsbqNt7amSygmSB5gfcVzz8enTHy/KsFdbpDCGQ77Hj0Fc+ZHWc8nsW2XSB3NY1y6B3plNMAgTVkVItt4lqQY24rGlGRGBAJkelSJQcxQLUmRvtXTByyZXri/wDPqSPvWJ27816vH04eTtUhQwG0kjt7V1cwoNthyJ4PtUUt5PDvOg4B2+VVDYI7VBwBPA+dFcVMxQO0kCRuOKiwZAUho70K0uIk4Vg7/u1/Sqyy871qB4bSNufWg5XMyCQRV2HB25ntFNoTVI/2oHbapopQd9jQPZmVSA0T6UC2rT3fu8DuRtV0iWqrbABG8b+4pJpNi27tvzqJAMbitbiOe1qQsrDn8qgCpuW20sCe8Uo0HTWnBUEmNRkH0NeHzzWe3r8N3hoR/Mw0iV32Fc46A3FL5KheTA/Cty8M2B3rjFtB2n86RnQbDUxR4ZZ4YbVeuYvFRsjpMtrxG0kHZSf0Nax8nysZeP7ENM/IxbsMpW6OfQ/Md66XGZRiZXCtPYyvteJbulAk8qPYxXkyw9bp68cvabN0qWYn/wBNFp1hptAgbiV5pZySpaGGYk7Cs/So+RbNy2QTI3+lbxc8mX+JSBn2Ah2XGUfrXo8X+NcPJ2qbFy2NQeQT90jsa7MEdTJaCFPf0NQdc2YauQBvMztVQ3aN6DhBGx+lFKTHI+lQOQyvy3FRYOkEyeB6UGqw7ln7Dj+Vv3a/pTk0xkVqMnRtVHL+tEKRG+9UIphuNqB871VKslgoEnsBUE23i7hrn/iKsZ2nC1ptjTsJIgVuRnYRxWuqzqxABiWFLibRblm5ZX+Ehu4NYymllR9dxRJ1GDx2o0MmULxi55G5Bnar7fE0ssDMfHvEXBqs3AFJJ+6ex+VcPPhubjt4ctWyrzHWXAJMg7iK8dr06CZAb7HcKsnbmau+EqMyJIEHeY9q3GaawdmIiSDuKu00KHBRVjvUpEW4lrIdlv2ldR3PIqzcnC8XtNtFEtW7dtQqhdgKxd3tuak4cplWjc+sUNlsmLYK8E7mqkqYIJAb0nbvXGtbc/lVyVP0rpGbGL69e8Tq14CItqE/Ab/rXq8c1i8+d5VXIiujmItzXsTvHPrRTPb0ogiwZ+VAqkTvPtFBxMmefnQOHAAHJ3qNCIT4cdwKDTYcfYsfY/u17+1BQ2sNZm423oKbQTwrKtCrt702FaxaBkrEelXaENpGgAkD5U2hpx7ck77+lVDmw7abk/KTuaslXY2FYa4xt4lh7tzvpEmrbInNXGP8N9QdC93wscAFj4jSY+lY95vUX14RHu+BMAuBwTt9YrvOnL6EGe5aZgduee9OVCLKeR5gKlixDvl1Xw3WQVhjP3qxdxsBghjTMAcGs0SMfJh/DYalIj5UhV/0rOW6PsxZvFtiVLHdoryebx6u49Piz3NVMWS7wIPcfjXN0ByQLZiBM7RWsalCVtBDjckRWkMNz9ooCwJkiiFa2qln4ZvWkqTtzMoCaNWuJIjappoRHLLqTtytTXKlsvF10IOhzMx3q2cCZrKsFKnSB96a5+m12iZeWLGO+TdaLVsFo7s3YfU10xnPDGV45Yd3e8zOxlmksfWZr0yaeYxQsiTsRWg4AdhQOjYGNxsaDjsZFAoIkGgUjmgcGgCfSo0ep8hkb0GmxLq/YrHl/u1/SgrCNQgE781AFljcnvtVZohYvIgSdt6oQLpM0QXEx3ychLYkSd6b0aaX+xcN5tm2wJ3LFtz7e1YueTUi9wrNrHxRax7S2lA4Uc/Os82Cl+IerrZBw0PnYAsQI29K348ZvdTO8Mx9qThlHmHccV39nPQV3HS+C9m8UYHgnalm+iVEOResPovLqA9f9qktjXFS1v2suzp2+vNb3Moxqyo120VnygD0Fc7i3KEq7yTE1hRrZZYZGh1MgjkGl5mlnF2vsTrtu8nh318O+f4xw38q8ufhs5j0Ty74oz6y5D7EDkjmsxrZjK+uV2EwK0hgLFtXEbVaHM4LAncKNhU0fTXunUGA3I/CnqbOF4gAqCJ700uz9RABDCZB96WJtJvubthTpJkdjxWMeLpbZpl+vdTGW6YtkjwbW7MDszfyFejx465rhnltTqPnxxXRzHR0QkG1II9eKoMt2wwCshX3pVMe0VkqdS+tAECduYqBYIPFAkmiiWwIO00Dl3kA0Glw1P2Kxt/dr+lBWi4wjygGagY5LkA9jQLaYFmJEQaoJqAB7kbiiaX3w7Y/Zvksu52Ws1V5rhIPlneaib5Ft3QqghoM7e9TbVcwslovWkuo251qD+tXHtm1T9Z6BiNjXb+DZKXkEhFMhvb8K675TtkpKrKyG9Y4rf8Axk609vKH2e6o1TtvFWavFZu5zEO/h3sO4SNRUfxD/es3G41qWWCW84HyXVBnvVnk3xUuIrW0uCbZ+k7Usl6Jb9AuL4ZIYRI5FZ03sJvMIkFfQ1BMw+qZOLCFRfs8aGO4+R7fKueXjl5jcz0u7OfiZXlV/Def3dwwRXC4ZR1mUsSCuq2tvYEmaxu7bR3UWrhiYOwB7VuXbP03yxvssDegRQRbBkkHvVBFa3at+JeYKo3LGnd0cTlRdS634+uzhs622+83BPsPaumPj/bllntWrju53BAO+9de3MbZQNA3jmqn0rAsjcTPNAPRb1ESVail89j726NzUA4HieXiinrtO8jvUDCBPpQPUdh371FOSQ2xEb0VqMMt9iseYfu1/SiKmdIBmSaLTAwLkzvVQxT5zBoCSWUn86QradLssMC0k76QTHuKz2VMFomAxk8ms89nBFKLsCOazO1tglxlZNxz3Fdce2LTMd9B3MQT9K6XFmV2b0XC6mCXUW7h3F62Nx8x3/Wkuu1vLGdT6Dm4d5newz2h927bEqfn3FW6Tdist5rWzpLat+D2+tWZJ6/T7q4uSNa/srp5H8JpZKbsRlF6xche3oZrHTYgy5jXbB7nvNX2TRGvYxck22g9lMU3DVAuXLbN5CwAPf0qKY3mYk3Ad6lEiz1DJxvuXifY7isXGVr2qQnW7/8Ae2lf3Bg1m+P9LM/2L/blnSf+WcE8jVtU/irX8kCPX3jTasLtwGYmrPH+y+T9IF7Jv5LD7Szso4UbD8K6TGRj2tcLyqwKWwCO5NVlzM9xhCt+NOQRbZHzqocxm1xBJPPBqqBfXzH0qBqXDurbqfWoprAq0cgcUQQGTuKikngRFFcDxFRRUG4Bjb86DV4gX7FY3b92vb2oM+urUsAfU1dBoaHJPemkpdYkkdqaCLcny+tUavoHVUawMdzF1OCTyKeuptLVvkXwLRIZdxEDtWJOTfCnbIvW3B1FkJ5j8RXXGRi7SrfUFe2bYJFyNge9auLO6JZuhyCQQwJ5G9ak4RLt32G0+4A7Vm4tS6S7WTsu/feK45yxvG77Cyel9LzXLZXT7DE/xhdLT8xFZ9q3qKnM+COnXWLYd+/jzwP3i/nv+dX3TSnyvg3qOMC1i7ayRE6UOlj9DVmc6PVn71q7j3Tbuo1txtodSD+da3E0jsyHnSPpVQNmU8L+dRXAE7wfwohx4+6fmaKbQNJG+9AmrsT+dAVNwQlyD71ATXfQmUDbb7TVTZRkEgSoBFNoXxGkMfSrALWYiTsdge1FKWBU+tAImag5mkrPbvQOB296KcT5Z71FcDAHHrRRrcHbb61BrsNG+xY/mH7tf0oMohBAJMxWkL3j8aqUkEau9ENABPMGiiI5S4HUnUvf1FEX/S+oeOui80sANJ9aumd6WMByQ0aTvB9KzrVLUZ8RbORauofIxke1dIzTkymtZotsDDd630zKsDc/aQpMA9uaTL9rQWy2RbmoaQDsAd/aplJUlsqfj5xlR/CY571zyw42645/Fkl1GAiBA7VwsdNnqzeIA268zWK1sLIxMTqNnwsm0l5DuNY3HyParjdJYxHVPhe9gvcu4VvxsYbldi6/zFdZkxYzuoagD259vatokKuwcMRG3NVK5pJkmT7iibCYAcgb77VLF2DpWSNAM7g1FKfBcQ1uG9VMCqE+zKRKXlG/DgigWb9uNpER86coRrh0jxLRA7EVdjhofdSBQIUMDbk80CQF53FRTGUDdeKBhE1A8RtvRSk7QKBbYllnioo4+7B4mitdhKPsGNLGfCX9BQZJdlHvvVZcrEg+lVHA8qN6BqyT8qBwJjb1oEtu1s+Viu8girEWtjrLIVLg6u5Heqlg564zqVRBvzqqs2I656m9+0JBB22q7T1WmN1FXct5V2iRwan1rXBMi4byFgQTEQPxrTOj8LKNtdDrqUEGByK1Okq2sZa7aWn58is5ePa45a7WFvLloMiK8t8djtMoNZuAqCrVj0sa2c9wgT3nYjtW/X6m2d610HHz3N6zFnJM+aNnPv7+9amVnaMtexruNeNi+hR1PB7/AM63LtKBcBBidzVZNuLOwEcUpEcgjjkd6jTmhoaaBSQeRM1dhokEQfpUQpuErpaZFFNC/SgcZ0AH12ohoJNFc6xEcUAysVAqjcCiuiN/QzQPXiRUUUHUvHFFbLBA+wY3P7pf0FBjgDp9gIqsUqmFI9RVRw23mgQ7SfaiuAkbURO6d0271S+uNZ2jd3PCj+dNqk5/QL+LIXfSI+da0xKqHW5ZIFxGU9pEVOmjS5Mkb0BUuPaZQrgyBTYkW8x7Tgnf1FXbOlthXbN0s63DtuAe3tWozUy14TsHVipjdq17aT4JOVbuEBtQcQrDtsaksva8nYOZki2RdEhdp+W1T03F9rE5M87rBJETH8qk8a+7rmUHdR3jgiDzWbi3MhMjHxs+z4V9VYQIb+JTUmN0lvLI9V6Hl4Gq8k37RM61G6/MUFObwbf602BMxB1TtUVxMHUPunn2qhZ79qIbJkR61Ap5MjegQEncUD9jEmqE4+tFczBQRQNDTzvUDVkmKDjwKin25K7GiwUeXY1FbLBI/s/G4/dL39hQY0OPDK8TvWmKRWg8SKo6ZOw2oOJ5mg4HY0Ru/hDG8HpJvlQHv3Cyk91G386sn02ldVW34Nx7jIoU7k8TXRixV2ejXeoWBfdBaYmVI7j1il1rRAz8HX31FGUGdgxrOl3UK58JZy3DoQjTE96erW1Rk4GXiBjctjSTEipcTaLbvPbbUrFWBrOzUWmP1Vh+88u0SNwa1Kliwt9QOoMjABTsOxp2mkqx1JSPNbVhO/qPlSWw7SPGw7jlxca2x4k1uZ2JcBzZ1HxUuo2w3p7kxpBduIx1J9ae0sXSQMhwo07j0O8is0m1PndBw8+bmO/2e/z/ANpPv6Vi46WVmM7p2V09tOTbIHZxup+tRpCDFT6qaB42EpuO4oFV1JEGPWiFO8kGRQMJAHpVV2sET6UQms9qikJneqOBgVA5W3oriNUx2oFXb2qLBVVmbcEiitt09J6bi7f3KfoKDD6j4YBqsk1fWaqHA7xQKTvQOX2Ek8CiV6dh2vsHT7GOdvBtBSfU9/zrrrhFP1izeyOn3QjLGsM0+gq4zbN4B6R1q1YwUs5WVpZSQpCyQPSnqbPyPiy2ihbTaiNtbHc/SrJjJzU5qpyPiTJuE+e5JHIMfpUuWPxdVV3Mq7kA69wTMtUt3F0CG0yIQj0NY2ujDpJOnyk8+lOF5OV2RdpHcEGp0JC5RaGmqmkgZQBIcBgRtHaqaHs5dsPqs3vDcADSTzQ0sLPUrpSXUFo+VNCTZzbLXR5ij+9LKkGvEElgoIPpSRq62Gb6svhOouW43VuKeu02p834fxL6G7hXBZf/AC2MqT7elZuK7UGT0zOwt72NcVTwwEqfqKzqqjhHZgAjFjsABzUVYWuhdSvozCzojs7aSfpTdNIORYvY13w79tkcCQG71UCBoFnagWg6gcKKeBuNqCSrDT2o1D0+8RBG340G76fbH9m4uzfuU/QUHm4YlRSMnDiqhRsZqjjzBoix6LjfaeqWE0yqsHbfYAf1iqV6CX8QEuQZaeK1ygGQQQyn7rD0q9VLNsb1LHtW7hhiCSSIrVm+WZ+lYEt2yNUk+lY1I2G1wE9gAdqls2SGtdcwFJj8qm104IWEzvUHeHB3NA9diBv+NRSwpUjSDB5q6CRBhSRQd4jLwNR9aqHpkMvdge08U2JNrMfUB94d5rUySxPsdSdCByvcVqRlYrfs5KiCQR3G1W4ht2xe0hrLg96zppFHU83HOm6AV9G7/Wsa/ap9nPt3bYMAGeOwp6xLlYV7jKZkAc7GtTHSW2qT4juC9ZtGZKk881MpwS1na5tlFFcN+KIeFoHDmqp070BUEqD71GoNbEyCTxFB6B09P+m4vnP7lP0FB5kv3RVjFECnt3qoUCikaAu53FVG3+GcA4PTbl+9bAu3oYE7kJ2rWMSn5fVAGKWiYU7kDmusx/bG0HI6tc0sFMk7e9auMTlQ5GQFMs03J4O9c8stcNSII13GJG2/NcbbW5DktKASVM/OppdHC2zwAKpootsUG4AojtFAvh8SaKRlAECgZG8zvQdvNA9VDMQT8gaIQW2U7GPcGgcztG+4jkc1dpofFyTbJPIitTI0sbDl2lLmgz3kg1oSHvtp0X7ek9mO6t9azuTimuCti2/Ce7YBlRJE8imv0jsS6ciwZAkLE+1anJVF1Qsb90E7AwN6xkRWhdq5tliqOFA4cUDqBe9RRbcyNqNDAztRG46ddb+zMTj9yn/6ig89WCij2qxmnBoWO9VCEiPeirzo3QXymXJzP2OIu8tsX34itetvLNsXfVero6NatOBbGxI7/L5V2xkx5Yt3WfOUvm4AY89/nVuUNIGTlMSVUwOJFcss701MUdLeppbj1rk3rQwtg8RA7VQ4KyntvQ2IrRv3ouzQy8HmjJP4vag4mQYqKZpkGJJqjisKTFAMHSRQEuAazttPaiF8zcCY9qim6oO60QjLJkEg+oqqPi5VyzcG41bx6NWpkzYtm/56xbbw/DKkcHaa1eUOvNl6W8IBpESBBA+Vas/SQXpWO1rHJfk+tMJwWqHqQi7cERBNYzi4q4dq5tuoFFA8cUDv4fegcoEENxFCHgQoINGjkOmaDb9OX/pmJv8A3KfoKDA21kDnikZp4BJ+6fwqjRfDHTFuM2XdthyDpRWGw9TW8cfrNqX1zNa41uzZP7MyWIPYV1yy4Yk2ob9x7sGIH8KzwKzvayIjPCmBt61i1oIKZk8msNCIhfcgi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<flowDiv xml:space="preserve">Notez le très grand nombre de nœuds du chemin. Après avoir appuyé sur <flowSpan font-weight="bold">Ctrl+L</flowSpan>, voici un résultat typique :</flowDiv>

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<text id="tracing-f06-fr.svgtext2888" style="writing-mode:lr-tb;text-anchor:middle;" font-weight="bold" display="block" sodipodi:linespacing="100.00000%" transform="translate(10, 1514.1214215999998) " font-style="normal" font-stretch="normal" xml:space="preserve" line-height="100.00000%" font-size="6.0000000" font-variant="normal" y="124.67367" x="227.35374" font-family="Bitstream Vera Sans" sodipodi:insensitive="true" fill="#000000"><tspan id="tracing-f06-fr.svgtspan2889" y="124.67367" x="227.35374" role="line">Image vectorisée / Chemin résultant - Simplifié</tspan><tspan id="tracing-f06-fr.svgtspan2891" y="130.67367" x="227.35374" role="line">(384 nœuds)</tspan></text>

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