Ver la Versión Completa : Pasar DPP al Ps
tirilla
16/01/09, 01:31:50
Hace unos días leí el tutorial de Vampyressa sobre el revelado en DPP, pero una vez que tengo la foto más o menos como a quiero. como puedo trasferir las fotos a Ps en archivo raw? MUCHAS GRACIAS de antemano.
josemar
16/01/09, 01:45:50
Ese archivo RAW ya puesto a tu gusto con DPP no puedes pasarlo a PS como tal RAW. Debes convertirlo a formato TIFF o JPEG y posteriormente tratarlo en PS. Sí puedes desde DPP transferir a PS el archivo que quieras pero éste irá en formato TIFF
Pasalo sin problema en formato TIFF a Photoshop y veras que bien, hay una pestaña en el DPP que te lo hace automaticamente
tirilla
16/01/09, 01:49:37
De acuerdo creo que es desde herramientas transferir a Ps, si guardo el archivo y luego lo abro en Ps con el programa DNG pierde calidad?
Miguel J
02/07/18, 22:59:52
Pasalo sin problema en formato TIFF a Photoshop (https://clk.tradedoubler.com/click?p=264313&a=3000608&g=22913596&epi=text2linkPS&url=https://www.adobe.com/es/creativecloud/plans.html) y veras que bien, hay una pestaña en el DPP que te lo hace automaticamente
Aunque hace ya 9 años de este hilo, a mí me ha surgido ahora el problema siguiente: He comenzado a usar el DPP 4.2 para revelar mis fotos. Tras el revelado, transfiero la imagen (originalmente RAW de 16 bits) a Photoshop CS3 en formato TIFF de 16 bits, encontrándome que el histograma de Photoshop (da igual que sea RGB o luminosidad) suele ser diferente, aunque no siempre, al de DPP, sobre todo en la zona de luces altas. ¿Podría alguien indicarme la causa de esto y cómo solucionarlo? Muchas gracias.
Hola.
Podria ser, que la version del PS, tiene sus años, junto al DPP, que es tambien de las primeras versiones, cuando ahora esta disponible la 4.8.30 donde se han corregido muchos fallos de juventud informatica.
Pero, me repito en lo referente al PS, tal vez, no este preparado para mostrar y trabajar con un margen mayor de datos de los que es capaz el mas moderno DPP, y vuelvo a repetir, que tampoco es la ultima version.
Miguel J
03/07/18, 01:40:22
Muchas gracias por la respuesta, Spyder. Me temía que fuera una cuestión de obsolescencia informática. Con lo caro que se ha puesto PS tendré que pensar muy bien cómo montar mi flujo de trabajo.
Miguel J
08/07/18, 13:41:36
Hola otra vez.
El otro día me equivoqué al escribir la versión del DPP. Realmente es la versión 4.7.21.0. He seguido haciendo pruebas y he encontrado que el PS no es el responsable de mi "problema", sino la conversión que hace el DPP de CR2 a TIFF (o a JPG) en la pestaña Archivo--Convertir y guardar. Partiendo de una foto en CR2 cuyo histograma (después de una pequeña corrección para bajar las altas luces) es:
https://www.canonistas.com/foros/image/png;base64,iVBORw0KGgoAAAANSUhEUgAAATIAAACtCAIAAAC 842SwAAAKyElEQVR4nO2cS46qTBxH74gttDvoqQvoAS6ChPToD t2DYQlMr4kD/eY3nbiAO2BEehnuxG/Aw6IokEcV/8I J8Qoov4o6lAP6P71GwA849fv379/AYA3PLQUPDEAQI2uZQgAoqAlgHegJYB3oCWAdzzRcjsAoeQAXj PEnS6Pnmv5 fn5 fn59vbW9XzRfQVYCWgJ4B1utXyr6Hq 6L4CrATVtz9//nx8fKgSfnx8HI9HbbMah2PLXXQ4nw/Rbmd8CfDa1IKcTqfv7 vr6/azI Pj6 vr /v79PptHQn1qjlIYracmIsvB5qw1hIWJipvfRCS6N7aAmvh9Zlr VU0Ornc2LK/tYwO5 v1er2e94e0enqIdrtddEjLl l tys WK05X8tvSNP0fL2m6X5fvFNuHR2qt67nw/6Qnq/Xc7qPwjDc7VN1S vHAEBDG vVZhqdXHZseW1SabnfRek13e8KO9NDtC9cLV/vozAMi2fqmofY1/NhH m/Vb9VSl89abbDtMywDD1a/v37d66WbsaW0eF8vZ7P6WEfKfKoH2mPRY1r0vNZc179HvWJuiV agmvcdmLdTfnsoqKfqbSWY7Tc7fZp1WzqbzW13O8ibUu0BNcYn bQ25eNibFl68vCmsqi/E7tPW1qmh2gXhmF0SHtay6LPrG6JluCa2jcnF0hmjS37pnxSZa Jnfzhfr9VoU30jVMeojymf8i1lMujc34nVtkRLcI0qyOl0at9O cDqdwsm3E/hz8120T6/pfrGfA5jDkCatq3lbgZbqpY2iIwrgP2615J5YgAk41BIAlgctA bwDLQG8w6DlBgBEQUsA70BLAO9ASwDvQEsA70BLAO9ASwDvQEs A73CiZRiG879EEPLLsur8VsKjpQHyy7Lq/GjpCvLLsur8aOkK8sviKP/7 z8XX6uBlq4gvyxoiZYGyC8LWqKlAfLLgpZoaYD8sqAlWhogvyx oiZYGyC8LWqKlAfLLgpZoaYD8sqAlWhogvyxoiZYGyC8LWqKlA fLLgpZoaYD8sqAlWhogvyzutFzATLR0BfllQUu0NEB WdASLQ2QXxZ3WgZ57uKbVdDSFeSXBS3R0gD5ZUFLtDRAflnQEi 0NkF8WtERLA SXxamWridj0dIV5JcFLdHSAPllQUu0NEB WdASLQ2QXxa0REsD5JcFLdHSAPllQUu0NEB WdASLQ2QXxa0REsD5JcFLdHSAPllQUu0NEB WdASLQ2QXxa0REsD5JcFLdHSAPllQUu0NEB WRzlD/IcLVcM WVxkT/4Lyi0dP2X0GjpCvLLgpZoaYD8sqAlWhogvyxoiZYGyC8LWqKlA fLL4lpLp5OxaOkK8sviRMvKSbRcK SXBS3R0gD5ZUFLtDRAflnQEi0NkF8WtERLA SXZQEt3ZmJlq4gvyzW8xd/O4KWVAtJyK BltaSCUJ WdASLQ2QXxa0REsD5JfFtZZOJ2PR0hXklwUt0dLAkPzBf0GxLJ BnLD h/EeBltaSSfH /i8Mw6eHrdbSQzNXXf6bpbR0ZCZaOgEtxUFLtGxQHK166dpMdXJ 5LY9BcAz6fnS95V AlmjZYLKWS8pZaNlj5nrLvwAt0bKBpqXxyGlOLt9mouVYNCedz vqgpU3aQnaZiZauQUu0LOnRUjt aOkatETLkn4tazm7nFzSzFrLLjPXWP4qaImWm80wJ4slyHNxM9 FyLF1aujATLa0xwslikTNTdbLLzNWVvwZaouVmM0HLXjOdRkXL CdRHLUfLFTHaSTkz21q25Vxd WugJVpOaiqfmblxc4NBl5No2U PltbNREs7uNDSUZuJltNAS2vJlmG6kBJyouU0aiFzxUy09JeX0 VI1c0Xlb2QZLR1dvUTLuQwRcr6WFs1Ey7EUxZI3QUt/sSOkT1rWZq6i/Huwlb8ulryFevis/FYNWk7ETsdVoiuLlqOonERLe8kc4UTIRbR86iRaaqCl/WSOcOVkoWWvnHNiD3GyNtPn8h/CAlqqZlr5rRq0HI3DpnJA 7kZfI BdsFjuJPFEoZh8Q3H3v8t4i1o YO0XFTIXjl7UHUaa OQS5qrYGEt7V7EQstxtCdal3CyqWWeP5HTrpArNdNK/VGmYZ9pabXBRMsRzLr MV/LSs5ay7YqLtrJH6tl08k LXPbDSZalmjDNq3T P7 r3jUhLSoZT5om4eWeR4Y9Wuv Zlm2tKyeYjQ0p6WXTdhqJMoTxaXLWHe0rJ91OsVhZD14s7AF9Z y4I4M0TJvHEG0HEO/lp0eOraxfag7j7y lZiZto7IAjzV8unujNfS2vDyxbVUh4LqeqmGUTvIwzxEyynU9a cdHi2Fk2mTNHmQF2UtLuRsGl JmW2MWh6bY ej9fbjNIyt9SPfWUtNSGLpS7oJYVUTbJE4xfQsk1Rf7TkA3dKf Wvk6RQtezE6qZVgkDsfQDqj8Tto2aat5ZD90uwdfzDRshddy6d V25KEE47kDBq/hpkqY7U8Nnu5U8 xdv6i4BW0PAZBMaNTS6heYBxaqWd4qH1ne6VjAsxsU9zTO0HLm V0ftNwcg0D3QynDgQUZmDRrHxDjGt8oatUyWnoup5SWuY352HV r6aKzGFSPgcf69RIUZi7WeG68VHSClsUyX8v5DeZatXy0k NK7OcQtJt513J6xTQtnw1Zhhb /PDzS0BUS3hCUD3qi9PGU9zVCVoOmEkYWubzw88vgUW1LEtwQlm BgeDR6S0u6lZ3XLhoSJcUVa6pzH WlsfHoBycEXSsDJT6GeTt4euERnh JelBrqnM89mzPqvRUik 8JOg Vgdr95GeNP9hwRzGGXjACeDsWUxM/8KtHyU4OjCAY8JqscgL642b5qXoOdUHhvNYzBHy2Cemf5q2Tqf wU8ieCz1LSLF q5/pLQZ828ZRjoZTNmDGZdJfNeSiR0wE/QrE5SPjc2CXtl63prI5Mrvr5YAMAe0BPAOtATwDrQE8A60BPAO g5ZbABAFLQG8Ay0BvAMtAbwDLQG8Ay0BvAMtAbwDLQG8Ay0BvA MtAbwDLQG8Y5CWcXLJklh5mSVJllyyS6xslFyySxI3PpdkzU0c E1 yLKme3u4qt qNbZxkt8faKp66/c0YeuF96UHZTXhRBraWSXa/lbUyvtzuWaI 0TaoiC 3patPkpUh4stNiRMnWfkyyW63xxkmvmTlHqj7kjQ W225 L70UO8mvCiDO7Gldw0Xqxfx5daScptk9 VrcqVPrKmVZPcsNgpXf65xitGSi xLD36dJcA6I8aWSXa/3 /N hlfbvdbdjNUEqGaXP6sqbW8xHGXlU9aS9 s9DER2GTMlI xUWy0M43VIh2t8ne1sWXRcVUzleeYe7lDje31k4zUvvTgYSSwy HAtk x zy4tCTsqiLyW9c/HyaVoztuZ6jXqyaV1ovHQAQ8jgUWGaplkd8NEz3YNWm47urbbD i1bm3nogIeRwCLDtKyl3G51MbsqiE9jy0cadSY2TrJGJ7aztfR wJOdfIrDJEC1j/RJlnDwuUXaet6fVnJn1rWsm9vH6cd3yll0StbXsHFuOTOVu4xp mYl8ch3f5TKo78y7JJZmj6jpmX0btwqT9dbab4AlOb76Tu8vHP tzlA8vBPbEA3oGWAN5h0FL6X9cC/HTQEsA70BLAO9ASwDsMWgKAOA0tAcATSi0BwCv B9itsVU0I9j7AAAAAElFTkSuQmCCAA==
al convertirlo a TIFF 16 bits el histograma que se obtiene es:
https://www.canonistas.com/foros/image/png;base64,iVBORw0KGgoAAAANSUhEUgAAATIAAACtCAIAAAC 842SwAAANGUlEQVR4nO2dO66jPhuHp/IWJjuY9izgFGQRkaJTTZk9RCyBdiKlSP796EhZwFdQoVlGdpKv MBhjG2PAry/k98hiCBDO68uDzSXMj98AgMT48fv37x8AgGTotYx4YAAACFQtC wBAVKAlAMkBLQFIDmgJQHJMaPnhQKTIAUgaF3fGPJrW8uvr6 vr6 fPn2PzQfMKQCZASwCSg1bLnx1j80HzCkAmyL79 fPn8/NTlvDz8/NyuSibCQjPLfeH8 12Puz3xo8AbBshyPV6/ffv3/f3tzDz8/Pz /v7379/1 s19CDWqOX5cNDlhLFge8gdI5eQm6l8TEJLo3vQEmwPZcgqVDQ6 Ge7c0t5bHs63x PxeNxO56qbPR/2 /3hXLUfq9N z7/YLbk92j1UVXV7PKrqdOJr2q0P527V43Y navb43GrToeiKPanSt7Sex0AoKCc6wkzjU6GPbd8DOm0PO0P1a M67bmd1flw4q62n0 Hoij4nLykF/txO58O6t8Sq1rpu5lhP4yeGYTBouXfv3/Xaklzbnk43x6P2606nw6SPPJX9HNR45LqdlOcl/cjz8hbQktADe0glu6Sz/7Ax5lSbzlHy/3 VHXdprpqqOVpf1C2hJaAGqOT3i75UJxbtp703nQW2Qexp0rTsj of9kVRHM6VpbfkY2Z5S2gJqBG kdwgWXVuabvkU0kXek7n2 PRnW3KKwr5HLW/5NOuki4G3eyDWGVLaAmokQW5Xq/64wTX67VY/DhBOg/fHU7VozoF 3MArMGlSxvr3jLQUr61wQeiAKQPrZZ4JhaABRBqCQAID7QEIDm gJQDJYdByBwCICrQEIDmgJQDJAS0BSA5oCUByQEsAkgNaApAc0 BKA5CDRsiiK9TuJCOKPS9bxewkeWhpA/HHJOn5oSQXij0vW8UNLKhB/XLKOH1pSgfjjknX80JIKxB XrOOHllTMjZ/9x4giWca7lX9SQEsq3OPnQkJLv2QdP7SkAlrGJev4oSUVC7RMy sz3Kf8EgZZUQMu4ZB0/tKRilpYikYY0i/cp/wSBllRAy7hkHT 0pGKxlonI T7lnyDQkgoe/69f/ PJsiW0pCDr KElFcu01IeysSzdRvlnCrSkoigK4aQwU/ZTzI9pGbfz3ED5xw5hOdCSCl1LRU5oSUrW8UNLKuxayiNbXUtZ SGi5jKzjh5ZUeNQyipkbKP/YISwHWlJhdFLRkn ElhRkHT 0pGJMSyUZnVTkjGJm7uWfdfzQkgRXJ5vGrmXEB4CyLv9d5vFDS xJmaOlsZuAsZF3 u8zjh5YkQMvoZB0/tCQBWkYn6/ihJQkznISWNGQdP7QkYZ6WbmYGzkLW5b/LPH5oSQKFloHNzLr8d/Hi/2X9WYIj0NI/804soSUN0BJa9jg6CS2pgZbQsmehllFPLy MXZi680zLX0AXv108aJki2WnJnYSW7kDL/HAU0qClg5kUAUPLuUxqud5MaOmThf2ks5kUMQstFTNzLH8ZaAk tW7akpd5/5gW0hJYt0DId4mq50kxo6ZO1TsbWUlYRWhqZVA5aJge1lt7NVJ wUKhovAuUFtZZj4kHL5PCgpZBzRFG/Aetajo1pswNaQsuWhfdFoCUBUbQUtQwtk8Cxn4SWwSDVckw8aJ kWnrUcP8/0G/aklvnKCS2h5Ta1zLrPjKIlrzhomQreLvZAS09AS2hJpqUmp9 woeVcLFq29QUtU4BEyCBaujgJLRWgZfZazj6ZJNZSvorj6CS0V LBp2VUctIwPoZamM8w1oSqXWKHlAqAltPSjpfJIHbRcg1LF8ip FyzVmQsu1BNZygZlzPdyGmdDyTbV0udITUUu5k9xBS09AS2gJL ZcDLaEljZCrtVx26RVajqFXtLxWrjVoGQ27lt6SpuWkmes9hJZ GoCW0nNFh6h3jDloG0VJ2D1omAfnwVdOyaQZayjaSapmjmSG1N NY4tIxDiH7SpGXTqPchFX8otMzOTGgJLftf2RFpKYTkU7s80HI XUMuxeoeWoZGPkXKtUGnZNEJInrwrBy1dWKDlMjmh5RJCatlAy 0VE15IPc5Zd 4GWS1Aqg7KT7LWUE7ScJBEt2aLRLLRcAu0FnqGTTT8PLWfgq/2IjFuctLcEaLkEfr9h1iPgVDdCNCGHDLQMLydZDZCwvv1chi8Z g5beInPBoqW4SSjWykISaTkOtJyBFy3ljHP9GtaIqbuWc818Fy 0t5WJ5ok15sEa8FYI0TTGQE2aOQaclT9ByLfKdXx1dy15COdEL CS09ElLLyTqdaya0VPXb6Vo2DZGWjWkJtPTCyvaj5xpaeouMY9 HS BS4QUuyjlGW043 G9DSgkcteYKW3iLjjGk59pupYGNXaEkHtExaS7n4lFXTWhI7Ka vmrGX/jQuLIKeXSgnAmvZjzLjspKylY3VDywFztQzTVeqSzYdF6TO9VE oAvGup1yK0XI6ipVw6sbT0BN8TtDQDLbPRkhflrnt0Y0LI1LXk sMB9ppdKCQBvP8tihpa0ke1MWvJSDm jSF5h0NKIouWsyN21dK90aNmjPIohtOQNmjVNSBtZp5FvGLTUk bWcGzmRlu5mvp2WDWuElo1sI7GWDYmQTbdjFszM9ZUShsVajmX co5aTfr6jlp0frAnSSQaBKWbyeSJX19dLAIqiWBZ2GC35L6Qtw a8vgQy0bLoH/yVR ByJlk0z/FPksJBaZmHm4pjdtWxmtor31VJUAJ 2TjaSK2MtenV/yGx/JADMmOi0TETOsTBS15L/MHDkV77b1FJUQ9tJNhOuzCrcYb3EklCHhdQynT5TD2PZoYQbYi kxX1oObqtsXktR7n0hzmnRc4u4q5ekYMMpC2BmdDl13xZoKZ67 5MUlpn1i5rrXF1uS4Xm9t9KyLceljdoxpQrrpmzbWuq LY6WaymKy13LZqqF6AvfTsvBRR2p4FY1alNBpw3rpoMELceild/0GVrLpjFmbTta u3I9DJthtPkYd2UBegz11f3XIwxOIaqvIlC0XJUMW1B0xgWD1d O79eYuy1oeWHawWw1bDjjY5dRYHonsA0zlwUpykH8gs9BHNbXP 5MKVS/ikQZo368xd1vQ0q Qm4MpWtIpur7S3VmspUjO/SRTtTSWL7RUgJZTMHGcvzDWNI2Y8oEGtHTVcrxw7Vvbdm266pO 9lrxhQctZcC17WJOXnItjc5ZQTxPYN7XtWnvl4i53LeGkH5iTm e7j3t3SHzo6skxIaBlISzjpDSaXpCqhviRuzxm2n2SztJwsXT3 txMsWu1PNXLW8dM/WwUlvMGnazjFZyAVaUsgZfPjKHLVsrNtN/gF P9Ol8TsSWktR2dOFAdxhxkWGFFHLNJ20FaG9KE09p73xuxNHyw tjEJIY1k0HST9nS1nL1U4yX0XpkiYbvztxtPRXYsAOk2aYMFOf JqilDydF9j2U49jexfxk43cnqJboKhOASdPhku5yrtzuvMgZqZ 9k1Foqq yNfxYRtPRVUsArrP93mC7dr9Llqpz1Mrh4WvosHfuu2 X/scy0lEocJA8bJP77Ht6R/hr z62TjWEDXaVWHtASxIWZk/wuQktLiOokoysMy9qctJRKHGQIk9ojkxZKq3bSCwTE 35KSc6bFVLBctL8qbB8DGYMNpN9YVl47kmYBOMso8j8JS1lIe2 Ay1BG8JU3zpJRyxsRnOjE2NX4zM2MtEZkGlpbiwDiHBAKZ/YPpWLl9OEzbyO8xZkGgJAFgDtAQgOaAlAMkBLQFIDmgJQHIYtP wAAEQFWgKQHNASgOSAlgAkB7QEIDmgJQDJAS0BSA5oCUByQEsA kgNaApAc0BKA5HDS8lje6/IofazLsi7v9f0obVTe63t5HHyvrIebEHO813XZzT5fMs9uxcex rJ/90i48efunMejAebEgZRNsFMfesqxfz7ZVHu/PV13KM8oGHcf7M3TzKes2iOP9KYVzLOv2Y1k/n/0R5niv2xzIeSkH3 22DJ4XCyKbYKM4D2Jb7wYudh O96cm5UdZv8K35E6fo6JWWb/qo1E48b3BIUaJPEpeLKR1lADemXFuWdav1 s1bJ/H /P1rJ GRhKpJbd/1tRb3o/HMSsnesvUrEwxIuCTOZd8jJ3ioJ8ZLI4y0Gr/rnJuyQeuckztMebVZmiwvXqQiZUXCwmGBDzirmVZv171XZNwpI HE11L8 WN55925HpNYIh9ctANNgg4kGBLwiKuWZf0yXOj5yEHLj5Gh7ce IltpmCTqQYEjAI25aCik/PlQxxxpISueWfTTyldhjWQ8GsaO9ZYJnculFBHziouVRvUV5LP tblKPH7WUtZ2V7G7sS23/u71s 63sp95aj55Yzo6LbWIArsRuH8CmfRW1n3S25siZqrnPyMisLi/JLlk2QCKQP38V7ysc/eMoHhAPPxAKQHNASgOQwaBn71bUAvDvQEoDkgJYAJAe0BCA5DF oCAKIz0BIAkAitlgCApPg/5rxTAHNufuwAAAAASUVORK5CYIIA
Lo mismo ocurre con las demás modalidades de conversión. Me gustaría saber el por qué de esta diferencia.
Muchas gracias.
Miguel J
08/07/18, 13:47:20
Parece que no se han copiado los histogramas. Estaban en png, los trato de enviar ahora como jpg.
El de CR2:
https://www.canonistas.com/foros/image/png;base64,iVBORw0KGgoAAAANSUhEUgAAATIAAACtCAIAAAC 842SwAAAgAElEQVR4nOy9eXAb15X/29wXrN1993u7GwsJ7itIECRBECAJ7qRWWxIlUZsl23EWJ3GWyS TeE8eWbVnWvm WY1mSbcnyKls7qc3yFtsZT5KXTDK/ WXezNR79Wpe1at69av3/rgURdmWEtuQKcX41i0UCDaAgyY/OOeec 5tZf78 fPmzVuyZMmiRYtmz559xx13LF26dGhoaMEVtHDhwon3Fy1atHj x4sWLFy9KKaWvsRYuXChxkPcXLFgwPDw8PDx8JY4WL158yy23D A8Pz58/f8mSJQsXLpQYTp069Uc/ pEyf/58m82WkZGhTFB2dnb6FaSklFJKV1BaWlpaWtqV2PkER5mZmfJZ 4/RlZGTouj5//nxleHg4MzOzv79/4cKFt91229y5c2 ebbbrtt4RW05ApanFJKX2N9IqL8qxoaGhq/v3jx4nnz5s2bN /2229XFGX /PnKvHnz0tLSbrvttoGBgfb29mg02tLSEr2ympubm5ub5TGtExR JKaWvsdra2tra2uLxeCwWa21tvQpBUk1NTbFYLBaLxeNxyV1HR 8ecOXMkjMqyZcsURVm0aFFdXV0oFOru7h4YGJBv8JlqbW2VrxW Px8ftiMVibSml9DVWe3t7e3t72wRw5INX4igej3d0dIw/NxqN9vT0LFmyJDMzc8GCBcqiRYsURVm2bFlXV1dra6t0ho2NjS 1XkHz7jo6Ojo6O9vb2WCwmHWwspZS xopEIs3NzU1NTU1NTZFIJBqNxmKxeDx JY5isdg4bpFIJBQKxWKxefPmZWZmzp49WxkaGsrKypo/f35XV5d86a6urhkzZlzpW0HGrtLzyq8H QaTe1JSSmly1dnZmUgkxh2mdF2JROIq3rWtra21tTWRSPT09LS 1tfX29t5yyy3Z2dnDw8PKvHnz3G739OnTpVft6emJRCIFBQXVV 1BlZWVNTU19fX1TU9PEWehkn5aUUppkRaPRxsbG vr62trampqa6upqefuZqqqqqqqqqq6ubm5ubm9vb2lp6ejomDd vnqIow8PDyqJFi9LS0oaHh6UnlFFvVVXV0NDQ0NCQYRjhcHjmz JkzZsxACNXU1MydO3f27NlOp7OtrU06656ensbGxkgkEovFGho aEolELBaThIfDYRk319XVTZ8 PRwOd3V1yW Lvr6 UCjU1NQUDoenTZtWXV09ZcqUeDyeSCT6 vrkEzs7O6X3bmxsbGtr6 rqisfjDQ0N8otgPO00ZcqUqqqq7u5uGUJ0dnZKAxKJhDwskUjI 83NzZP8p0vp71SRSKS/vz8Wi5WVlVVXV9fX19fU1ASDwXA4XFtbW1VVFYlELMsqKSmpqK ioq6urqqoKBoOVlZUSEPkiCxculImeK2I5a9asm2 GWPs9/tvvfXWoaEhxlgwGBweHp42bVpZWVnsYnAs57UdHR0yV9TQ0BAO h6urq9svqrOzs7W1taampr29vbW1tb6 Xj6loaFheHg4GAw2NjZOnz5dfsfU1tbKvG5vb29jY2NdXV0kEp GES/JjF9NLMgyQqDc1NcmPN23atJ6eHhnfNzY2ymOke5dwTtafLaW/b8mJpXSYZWVlZWVlVVVVpaWlpaWlPp8vFAqVl5c3NTUlEonS0t Li4uIviKVpmgghzrnP5ysuLiaEGIZRXl6uaZrdbuecV1VVyRlt LBbr7OysqamRz21oaJgzZ46cwnZ0dNTX10vGJC3SicVisaamJp nFlRNa6cd7e3u7u7sl7dI39vT0hEIhmWqSL9jb2ys/Qzwel85Q4irhjEQitbW18oCampq2trYpU6bIJ/b19dXX13/Ff62UviZqamrq7 9vbGwsLi6uq6sLBoP9/f2PP/54b29veXl5ZWVlVVVVYWFhS0vL8uXL /v7vyCWVVVVxcXFwWCwtbW1rKzM7/dXVlY2NTU1NDRIF9zV1dXX1ycrMKFQKJFIdHZ29vX1DQ4Orlmz ZnBwUNYzFyxYsHXr1ng83tnZ2dDQ0NvbW1ZW1tPT09HR0dXV1d DQ0Nzc3NvbO55DkhFvd3d3c3NzPB7v7e2VYXcsFguHww0NDR0d HaFQSB4vp9cSYzmBlvWfKVOmTJ06taWlRUbXjY2NsVisq6trMv 9uKf1dq7e3NxwOx2KxSCTCOa urn7kkUfef//9nTt3tra2NjY2FhQUtLa27tmz59133129evUXxHLevHmLFi0ih JSUlMjWPghhaWnpjBkzpk2bBgCIxWLSO/X29sp8rIyku7q6tm3b1tXVFQqFZD5q06ZNixcv3rRpU3t7u5w6 1tfXyynl9u3bpRft7OysqKgYj11lnCxfNhKJ1NXV9fT09Pb2tr a2ygO6urqi0WgkEuns7BwYGJDfFzIh3N3dXV1dHQqF2traZH6s o6MjHA6HQiE57UwppaSrpqZGpkvl/15ZWdnAwMDTTz996tSpF154obKysqur65lnnjl//vyuXbskYl8EyxkzZsj5ZG1t7dSpU fNmycDV9l/hxDq7 XMWR3d3c4HJYOra vb 7cubt37 7p6ZGebXh4eOfOnZWVlT09PbJi093d3d7e3tvbO3Xq1DVr1sig tLOzs7u7W8a3ktiGhoa2trZgMNjd3T1z5szy8vLu7u5IJCIZGx gYkB6yqamptra2vb19cHBwcHCwqqoqHA739fXJjFRDQ4O0SrpK GQmnlFLS1dHRUVdXJ3OKZWVlgUBA ol9 /a9 67Bw8ePHDgwMjIyIsvvtjV1eX1er8glpxzxphpmjU1NaqqyvtF RUUAAMuysrOzpQXRaDSRSIxXSDs7OwcHBx9//PHBwcGWlpZwODw4OPjII4/ceeedmzZtmjp16ve///3t27e/ uqr3/ve9x577LGTJ0 uXr16 vTpPT09K1eu3L9// bNm4eGhqqqqpYtW7Zz5859 /Zt3bp1xYoVd9xxx 7du1evXr1y5cqHH354z549mzdvfvXVV 6665Zs2atX79 1apVGzdufOKJJ 65555Dhw594xvf6Ovru/3227dt27Znz57t27f/ Mc/Ts0tU7pGisfjAwMD4XC4pKQkHA4Hg8HCwsLa2tr6 vqdO3eeOHHiN7/5zfr161taWpqamkpKSr4gljU1NZWVlZWVlTLbK 8Hg8Hq6uqKior6 vrxIud41UG wsDAwN69e/fu3fvyyy/v3bv3wIEDe/fuvemmm1auXDlnzpxdu3bNmjVr6tSpu3fvvv3223/xi1/ICeq6devuvPPOeDz wIO/uOsHP5ox8 aVK1cuXbq0M9E Z/bNmzaunz9vaNvWzT/8wfenTp1aW1vb2dUTrAvNnTv3yZWPffsbtz67Z/f0aQO337bsV7/aPXfu3KnTp23evLmlpSUcDk2dOhhpbly8aP5DD9w7bWp/PJYqsaaUfDU3N3d2dsbj8erq6rKysmAwKGsk7e3te/bsefvtt0dGRp5//vlYLCYd6V/Bcv78 YqiLFiwoKOjQ7bvyJceGhqaO3fuJ qWtbW18 fPHxoacrvd7e3tE uWjY2NsjY4NDS0bt06Gam2tLT09fXt2rVr6dKlq1evvummmzZu 3Lh27dp77rln5syZHR0dO3bs6O7u7urq2rVrV1tbW6SlddrNQ4 uXPOt7971yPLH vt6OmItU3o7t61/8taFQzs2r5820FsXrJk1e2j1 k37D7787N79W9Y ftc3F61f dC0gY5ZM6esXvNET193z0D/th3bm1uahubevGnjmhf27j60f9feXev7E83trZFJ/fOl9PcpiU8oFKqvr29oaJBuLBqN/upXvzp /PixY8f27dt37ty5ffv2xWKxQCAgi3bV1dVy4iarEgsWLBjDcnh 4WFGUhQsXyteV7yHrlrNmzfpE3bKurm7OnDmDg4Pl5eWyeNjS0 iJToPKror6 XjrGRCIhi5lDQ0Nr1qy5 eabd zYUVdXJzv7VqxYceDAgWXLlq1evXru3Lnz5s1bt25dR0dHe0dn z9Sb127ZNWP2vF1PPT192pRwsGr zVOf2bZ /syB1Y89NLWvK9HR9vSv9iy45bZgU2x48ZKdG5749uKZm1Y NNjVcvOMwa3bNnb1dE / aaHH3t0ydJbNmxcc e3lrU1B5fMnbp/x6ppXS0pLFO6FpIt4i0tLXV1dYFAoLCwcObMmevXr//oo4927NgRCAQ6Ojq2bt166tSpw4cPt7e3V1RU1NTUVFRUyGK fJFL3nLBggVpaWkSS9k0E4vFqqqqhBAAAEqpx MJBAKyhllaWqqq6njdUmIp /qkq2xqalqyZMmGDRsGBgbGW3CeeuqpW265ZevWrXISuGzZsubm 5ieffPJ73/veihUrotFoMBjcunXr3Xff3dTc8uOf3ffoqg2tHd2PPf7EHd 4racjtnR49urHHvrm0gW7t66/edpAc1N4567dt37zzlBL 5Jblj2zY8Mdi27auPKXfV3RmVMHNm5c3xqPTZ150 btO2bNmb18 cPfuHVxd3vLwlmDz 1c29/elMIypWuh5uZmGYvKZGw4HH7ggQf 9Kc/7d69u7W1taenx fzRSKR11577eDBg6tWrZJB7BWxXLhwYXp6 sKFC2WMK4uNsm5ZVFQUDAaj0ajsVJB1y1gs1tTUVF1dLQuP443 z8omxWGz /PkPPvigxDISiQwMDKxateqOO 5Yvnx5V1fXvffeu3Xr1iNHjqxcuTISiWzYsOHw4cNTp06dNm3a vXrn3v wKbtT02fNbeyJjR/eOFLhw4eemH/vqd27Nm5 Zb5sx66/ 7Bns5ER9s3v/WdrTt37/zV/l898 zmNSu e v8lb 8b/aMgflzbl6 fHlf/ BNc4ZWrVvf1z943333Pb/3mddfen7P9g1Pb36yN57CMqVronEmZQRbUVExY8aMRx99NBKJ1 NfX /1 yVFnZ fKlSv7 /uDwWAoFJIcjWN5KYhduHBhWlraggULpAuWR1RXVw8PDy9ZsoQx VlZWJjcpwRiXl5fPmjVrxowZAIBoNBoOh5ubm/v7 6Wr7OjoaGlpaW5unjp1qrSyvb19YGCgv7 /oqJi vTpMmcrq52hUEgWUaqqqmTXXmVl5cDg1FBza21Dc/ UmU1NkY629mBV beWLt61ee1Ng91TejtbwvXdnV319Q3d/VO6B2Y0NkUHEm0djcHBRKypvqalMTwwMNDYFGlojnZ094UaGpu amuItkab6mq5o4/SueCLS0N6aSvmklHzJmFG6ysrKStl/J1vcGGPl5eUVFRVFRUWtra3hcLiwsLCmpqaurq6yslImSuWLyF WWl4JYmYmVWLa1tdXW1k6fPn3OnDmEENlELueWFRUVs2fPHh4e hhAODg7KDpvu7u5QKBQOh XClvr6erl9gXyn2tpa2RNbXV0tm1SnTZsm23Q6Ozu7uroSiURj Y6OsUkZaWjv7pvQMTq8LN99zz30vH3rp0Av7t29aN//mqdGGmuZQbWdba0tzpL9/MBxpjcQTjU3R1qaG3nikI9LYGY 2x9ui0Viis7cl3lFd19A/MK27u3egr7 jNdITj0aClT3xaCoTm9K1UHNzc3d3dzwel33doVCorq6uvr4 GAzW1NQ0NDTU1tZWVFSUlJQUFxc3NzeXl5dXV1eXlpbGYrFIJC K5W7JkyWUpn/nz5483uEq0DMMQQng8nmAwqOu6vF9SUgIhtCwrNzd3PNkjvyTC 4XA8HpcJWNleIx1jV1eXzLUmEonxnnL5rGg0GgqFZJNdd3d3T0 9PcyRaF27u6p8abGjq6xtoaY6E62qmD/R0xlt6OmJ9nW2DvV01VdXxeHs40trS1hmLJzpjse5YtK2lKRGP xVvbmhqjkZZ4pKWtq3sg0hKvqa6PRlp7Eh1dba3RUF17tDmFZU rXQrJ/Ox6PjxcRS0tLZbEkHA4HAoGKigrZsC4XlMgKivSWkrt4PL548e LLCiTz5s2LxWItLS0yfSobzWWTQGtrq4xOZb 4hFB22yQSCbnqcjzlI2eY8shIJCJRlz2BctXIeBdrY2PjeF9rL BaTa7Q7u3rau3orauqmTJ3e3BLpSnS2RiPtrZH2WHNPR7y prKpsWH69KmNjc1t7YmmaLytPdGT6IyEQvGWSDTS0toa72jvbo 7EE5198bauSEtbX UaDTW0hyJNjUOdne3NjbGUwu2U7oGkh5PEtTd3R2LxZqbmxOJh Cw6yta0SCTS3d0tV5nIwDUUCk1s1b4sE6soym233SbroRKbSdw EpDXWNjbisXhrLB6LxmPReCzS3irvRGOxaGz8mFhbe2tMjnhrW 6y1I9ba0RpLjA/5SLx14mGT9clSSumSpE SyzDa2toSiUQoFJKh66JFi8a22Lr11lvr6 sl7rFYbLzd56tXLN4uh/yxLd76iTHxsHi8vS0Wb4vF22LtbbH2eCwRjyVicTk6Y/FEPJaIx9vlbzti8bbYZH2slFK6TNJbNjY2ytXFsrtbbki5aNEi Rc4yZ8 ezTk3DINSahgG5xzfICJobGCMMaaXBuKX/YgnHpZSSpMs0zQ9Ho/EjRDi8Xh8Pt/Q0NAYlhLQuXPnEkIghKqqQgg1TWM3sMSnblNK6foShJAQomkaQ sjpdCKEDMOYO3fupVZ1mfKRR1NKLcuSLT6TIgg0CLSJj gAjY9PHAkuPxIAcPGRibcppXTdiTEmw1KPx4MQYox5PJ5Lmdg5 c YoijI0NIQxhhACACilAAA SRKcCk4nPsK4MT4 cSTnlHPOhHyAXhoCX/ajfB0xfmRKKU2yAACSOMMwNE3TdZ0QcimIXbp0aVZW1tKlS03T pJRijBljAAA0ScIIYHTZu0NExscnjkQIIAQgHhsIAYQ1jDSMVI w0jDSENYS18QMgnrTPlVJKE0UIkbh5vV452 ScX8rEji/sopRCCCGEnHOE0GTF3JwRzsjERygT4 MTRzJGGCOUjw3GCOOIs0uDcTTxAMoJS nvXIIxxjhiHDKOGGOMehn1XnxwwphUSSYBAJZlIYQklpct7MrI yBgeHpa/wBiTLyRN0yillFLOucvl8nq9EELG2Bd7tS8h9KnxN m6sf8LKmU/IYQQRonBGOOGG7M8YapCmKqjmONaQhBhdsJchLkIcxDm tv/N/5G2e12IYRpmhhj6eQ451c6GCEkMziMMektKaWXemKThSWl1Ofz CSGEEG632 PxAAC 6AecBKXsn1wlyf4xLJlwYpbFTQejpu4IMhAmBBGeS5idMMfYbV KxDAQCskeVcw4hpJRK8K50/FeEpcfjqayslFlcTdNM05ST2i/6Mb9qpeyfXCXJfkaJyRij3El4LuUOggVRm7DaQAghPH/MT455S0JI0qKJcDgsczmEEJm/QQjJmuRn6q9jmZ6e/uWx9Hq9DQ0NpmkyxuTXBoTwBvq3SNk/uUqS/Yxgg3MDUycz7IjYEOQmjkNnmBA2FsRSdeyWEIJFssiMx MyaYoQkrB92SA2KVgKIeTSMpn2ZYzJdNONopT9k6sk2c8Itjiz IHIK0w2xHepmkTUIHRGCDcIchKqE6mO3hCUXS5krHU rylrjlY7/ioJYhFAsFpPJJUKInKxfxazrTSn7J1fJsR8LDD2CewF0WV4EoA vqnpqSecjZSrBFqEooIBQQqhMKCBZJxDIajRJCJIqMMSGEDGWv pK8IS13XE4mE9OCcc5kC/mIvNSlK2T 5So79WCBgCe7XgcvrYwC6MShsrL6VuDoI8hMKxtI88g4WBBvJw rK1tZUQIv28lK7rV8kkf3VY9vT0yAhEzhBkZeYLfsqvXCn7J1f JsR8LqJuC zXd6S8QAGgYFEXrv03dXQQGCEGEMELYGJzYSCKWbW1tErDx7xQ 5Q77S8V8RloQQGYSQixHIDfQ/IZWyf3KVBPuxQMBi1EsowERjjCG9uKn6m9jZRWCxPIDgi6hgg2 ArWViOGy8LJDLZc5WPkMLyb1XK/snVNcFSK2mq/iZ29BBYOpbjuQzLpHnLFJbXSin7J1fJw9K6HMtvfQpLGcQmc26 ZfCyTUiAhqX LyVbKfkIYggajFqH6RCyRfRxL4yKWKLmZ2BSW10op ydXScKSM2oSqmPivojldz4DSwqSW7dMBbHXSin7J1dJw5IJQtW JWGJH7yUsCRurXo5lZZNsfArLJCtl/ QqSViyMSypkzGC9OKm6m99Fpay1p/C8rpXyv7JVVLsh4gwxijRGXYblEC9OBj8jts9SEAVRwbFgmJGC aIEJHcFSQrLa6WU/ZOrL28/psQF3IYlvIQWcYOrbsLLjZpvKupUrIcs3WtCJhAyIROIEQow05 MFZwrLa6WU/ZOrZGCJVKIygYUbeN0I2/MhL6ONd2X6b4F6k0ctMCExIbKAMIEgVIdcTWF5vStl/ QqKVjqBiQGNjTk0wlX3disxM0/UIPfB6DJ0goEYgIhEwgBr3ssUwUSqZT9k6ukYKkJABmwEC2khk kR8FQ76r6DW 5WYbPQCzhiHBMBDY4EZjrkKqYpLK9vpeyfXCUniOW6C7kYIBZg HCOHUZEX/E7ZzLVO1EJhQHbecXQjYJkKYqVS9k uvrz9kCHiY27s5pByDSMEHJ4qLfbTaXcft FWjIohMTBhFFkUGZCBFJY3gFL2T66SgiUrEBrVLGZySDEldm t3vXAbRt l0fiAJdq1AJUEGwRnMLyBlHK/slVslI DuDwcEtgAxCaLipyoz 5ZcPvs2m7hstU5tWYgbE3heUNo5T9k6ukYAlMpFHNpAZHAjCWY dbkJ 6bt afM3lXvlbiJF7dsAAwEeRMYJ26Ulhe70rZP7lKCpbIQDoBJrU4 MjQm0s1gXuKBuWt/l1843YGrHcwPDB EXooMyhHAzuu3QJLCUipl/ QqWVhCDCwisTTSzbrcxINDa/83WLNQNRrszA8MH8Z hj2MIwCTtolzqkByrZSyf3KVFCyxIAgBL/ZwaGnMUMxQTsfPZ6/9gwjfplpNedincR/FhQb2Co4huo69ZQpLqZT9k6tk2I8oJxgBH/IIYGnUUsxQVsdDs9b9C2 8wykas4HXTT0UFxrYbzJMiPv6xTIVxEql7J9cJQVLxgiFyI88J rAAtRQznJ14ZNbaP7PwN 08nKV7VOanuFAAr8WwoBpNYXmdK2X/5CopWPJxLHUvIN50YwxL3vgth2jOAQXACHAcEKplYWhSPYXl9a 6U/ZOr5HhLDikEfuSxdC9FVjYPZycenbnu30jz951mzIYLqVlgEIu r1ITIpCiF5fWulP2Tq2SkfAA2VIRVH/L4VK9PM5w4lJ14dHDDf2rRn2WRmIr9gkBBXF4GuAY9WNAknaQU ltdKKfsnV0nBEpkunbq82ONXvQG3UFFdVuKx/o3/5Wq9L4O0A S3iFvQXIu7uIZNbFGc2mLr lbK/slVUrAElqpR1SIe3xiWwazEowMb/kuN3pdF2hH0e7AmaL7FXVTHJvJev1imCiRSKfsnV0lpVdct3c0 0k3o8mlWoMjeuyUw8PLDxP7WW 7JxAoNCDwKC2E3hJjrmJIXlda U/ZOrJGEJ3RRw5jOB5dOJk1ZlJh4a2Pi/ay335aIE0Yu8EAriEEJDgDLqTe0Te70rZf/kKjlYmsjFEGM AQ0LAhsvS 9 sH/Tv2nRe3JRgmklfoAFcQkBAKQ0heX1r5T9k6skYEmJbhIXJYT7K BYCqzlmQOm7p2fLn9XWn13EkgqscoE0yDDz4hSW17lS9k ukoOlIVyUYeHDhGHuSPf6lcGfdGz/gzP2j1k4QfRSP ASSxUxxFNYXvdK2T 5SkImljDq9edqAFs jSPNzFWoK2PZL6JP/zY9epfiCvusOuFCFgOUAaeOgLBSWF7vStk/uUoKllhYdoCZr8DB3K6iHFtbhbVid9Pzv WLn1BIVBg1QsUG0xnXVYx1IlJYXu9K2T 5Sob9DBOhIioChVksL6dUCXyzt/HV4xUHf9382EHFH9dZOYdUUI1xHTHqAvj6xTJVIJFK2T 5SgqWjBgQMVZoZYhspUQpu3t6 PSI8fxozzOnlKLWfFIoCKXyel6CqxBhmmTjU1gmWSn7J1df3n6 KmYlNBDD0kExftlKmeO7rKxl5VTt0NLb/uFLclEm8lFJKVQhtlOJkMUlSQey1U8r yVVSsLSAoIC4hZZVnKMEFfZgJzv5nH7sVHDva0plRBEeQCETKg C5CKpCiKQbn8IyyUrZP7n68vZzxAw39VHTQV3pxRlKs8If63ad 2K2eGa187hWlOaF4/XboNj0QY5um2k2DJ934FJZfQEheCZgSRAiimBDCKGaEMIpJLBY jGMqltIQggj5hP5s4MCVyyF9RzDgSHImk9FhS/Nnj6roRzv/VlAxvSagLB3x O3EqvgylWWEr59jeeMZxcrT64AklcXOaryTf7fb6mKBulzPPEM nJ95AUll9KFFDqoMzOiUoJ4JhQLOTVSDli8ViUIZ0SYFBECWAI SnoJIYQwigVFBkUGwQYmAlIGGIEMYUooFgJYHs1v6V6OPl9cNI HtS/jxK4yrk3kDnP rKin26xAQg pMVwy70sjChzaTYyf1194J7n8/a9r3FVxueIooBEh1WCbDGCbd BSWn18UUGbnNJ8TlWPAEePIuDhYe2uMIZ1jYFDE8RiWmCJM0UU sLYosiSVgTONIHpRcLCdyKNCl2xSWf1WYEhXrxGSQIUUApaG07 sBeceQCfe3j4L6PMwZ ouBawUs4pEzVLFNADJJufArLLyBEqUqpSgmgmIw7QIoMilm8NU YwpHI/GEwIooQQyABkutx7Wx5PsMCEAUYAQ5JMTAnFTEAh4JcKYj8dtf IJt381jr0Rzv/VlBQsNQSpIRCjikGVhsra5/aJIxfEG78L7vtY6f2hQhsILjGBIXRkGSaE17G3/FoVSChBlCCK2eVMijEsEaaYcMooZgRxQhhkOhAqpkD6TIKFxBJ SAhgCHAAOIAOYAoFbrXMAACAASURBVHIp4v2itk1g70q3V9ENc f6voqTYDxBkghNGMwyhhILVe19ghy8Yb/6 dv/HStcPMs12qJdZ0GPq2GuYAFzH3vLrhOXlNI4BKShml2MpKBaXY cl0TOWfkBEsMBkjEzIEuA64DoQKhOsLXGrmMzM6Mqz99O3VdSO c/6spKfZDiCnlGNMsw6uEItXPvoRfv0Df G3t/o Vzh/ai6brrmoPLDR16uEW1JOzvxZJBbFfTvLahl55hUOK2RgSBFFMP hNLTAFmOmY6GfOHZNxnXszHAiBUzXBphh0Ix0V6/1Z9AsvxBC mBNLLfpw4C/1M3Qjn/2pKiv0YEoIohizXKlIau v2H4Ovv4sOf1zz3D8rnT9CtbeorgYTFguVmtRIXsYnheWXERYE eQnyEmwRwi7WS3RCdUJBLBb9hP1jxBJ0MSUrZ5hM5m/lRYUplmS6NMOuGV8ES/4pLCElkBLAxu6MjxSWVxfFxCCCI0Z0avNWKq2zGg9eQG98oL3 YfWBj5Wef7QiP1RdMROUMxc2iJDpg Qan8Ly8 sSloIQRKhOmGtsUP1yLBEmOiXAhMyEjGMiyRzPynJoCWCZwBJQ UEww04FwfF5vST9V ZjIpBzwcrd5Fd0A5/ qSgqWHmYamFPAnQW1SsctzS//EzzyofuNDyoPfqz03V3Y9qDb1W3ACuyAAhuMpNoJrgsxXWMIck opZYAwB6Y2TG2UuwF0dXUlNA24XCqlmFCdCdVgsJB4LZfwcR/FRCca4MDmtgOIkZt5UYFwebzQ6xd CDSNOIkJPtfc8kpYjgHJKeYMc0Y5Y4xR le 2m E8381JQVLgZgBqImtHFGl9H63dv9H6psfuo9/6N37jjLlAVD/U0LnAGdpQBQwyFPe8joRo8SglFMGCXNhlodZHqZ2QlWMcXdXP8 EWBIxzzjjE1EaRoxgVsBzmF37CMC/iml/XvcBT6iOEeWmBqfpM1WdBD9YQJjo3yOdKxk6sUkqNu0pscMwZY hQRjDHGEFE5rnxSb4TzfzUlBUsTEgNQE5vZokbp WHVc791HvnQceLX3hfezl623hm8z63PVu2lBjIwJNd1geTrhCV h3CAMQ KC1IZYHuZ2wjXCKIRGPDZISTHGfsYtKiCkuQTaS3ARzxU w 8kDoffrnBFoUq2me2gLoSpAX1C9QrVEtCgmHzeAslVsCSCY84I IQRhCpEBsAWIhWgKy6voIpbYIBLLn5U/90fbsQ/zRt4rPPxB0fI3XOFHnGChplUSxCU5STc VSD5IkIEA6TryAGpjQgHFSrlDGMv0Ioa6qYRWItAKQAm5QTSfE HdPrfHpxYYlmm3bEqBkteYo1QrWdUZaUZmtp5HmcmhxXXTw30Y Ek3TPpcxn8YSX57goZgYmHow82MegLyACJ7C8sqimJgQGQAaRG QaQaXnvpLn/i33 IfZp9/2vvFu6zO/cTStcJFbAalHiAiTE5a0U5TC8ksJIAiQDomKmUq4himC0NLVIo vHGmoWmKSTwia300 ZBYnDMHSUiwO8xG2q2aXZSo0S/Ifq8ruK635U64w6FStd82FAqK4Rj1GAEPm85emrYYkRxlgQ6sG sEPEiwIrcpEDF4sr IY4/1dRErAkSGDAkc4pyzCDSs Dxc//z6yTv844 xZ4eST wm9zw4 5 Ld0Uq9CABnQ8OeuM/9V41NB7BcRIpgwygSmAiICdUB1NaC76qpL5kdD3yvzD3vZgNtR TmmhjlxcAK4KryeQwbOUAkWpU2qWl9U8Ud64IlT6rWKlKs1e7H IwNc/lEoalY8TE54uLrpTywXSsPGMh6oW0UCOFThSwAa9dN688G7ohz v9VlCQsdY40xli6GVR6f1H4wr9nnPq1cv6M9vKJyAsf57WsQkX/oLMQYEij6nhbZRKNT2H5RYQwxVxQkyGOVUhU3YNRvcF6QtV3Rk P31JZ9t8g73 2sp6zcBdyEA79ZqFOc7s9UAooyRcH3u8VyyO4Ddb sVeqVtJLMXMuRC 3Ea7qRRk32uRa8XwVLxhjHxNSx140CLlzmpjWqqARGCsuriBIk sMqRmzGiWEGl95cFL/xH2sh7yoXT6Mjp0L73nR2brZqfu1k98QoXdTMfTmH5VYp95sCE qZAAKojggFC3LgAo9xi9ZYHbgmX3NlSvqCl9qNj/fdWZ4KzRqSJCdb/Jsu2KGnQrYcV3v8lXIs92CJ60 VdYSq2ilCnZJXl2020WeFQ3lK0/hBC57gRTgCkYX E5ocOOjeMnEJFxqVwjNvY4YQYRAjGhI6FCL4S1hPdj7wweKHfp HgA4BpgiwBBgcgrKOGLt0TaCKCGMcoYpQeTriaXOsIYFUnxVys D9voP/ljnylvLWSXjqrH/P20rvNhR62K5WmQa36zbioyksr5EmNohfJFA2x31qYCKAMInH5 wTA8hWpug/o9ZpjIFjxUFnB2urSZ4IVe0qLnuRkqeZuBbqXE5dfpGOi5PuUj KaM4l8U83Uwb6uSvklxbMhS pSKe2uVKiUdphX6Cwr1EsPm59DClEAGIFeBcEBhx9xBmIsTnWP EEaOYyXVhbsEAYxYgFiCAIbcBAEOQIcAYJsJPfUKlDFLCsIvZq 4j7u6q4T/MtIJ5GCC3gBKbu8KJcoeuYeJnXpxm9TQkOOCYCGELjBJCkuYKv RklJ eguZ1Gx305dSkGxsuxh Oz5/COH8946kj96xrH/gnLrISX0IAMhb65Th5puInjdbrH194blZSgaE26F3K0QGpbNrR MW0LRShjsJWFRTtqYksLes JWK0leKi5/yee9hbDZEdRBQi UYvnR7aWbRLcUlj5W6V9uydiq5 5X83RnK/Urz5halQVGoQgjz2nwVsEqAMSyBcAHDDox8KOyEOSSWAjGKBSZ C48xpMMCYBxAPQKpADlMuRrmIJfaaKmfE0A2Yx3Iqcd49 fqaXPptlSdcrgI1Hxpumx/mmEAjxCKWXzX6Grs4EJgI3TBVQQDBX3JFy1espGDJEOacZoMcp arcWrmn8Phv9NNHbOdezzt3Fo/80bn690rvGg L1ugGItBtpLD8KvSpwFVGlWOxJSOEQUSE4VVVSlAZIy1FgcUB/93B6t1lpS8XFR8pKnmjuPxAacX6gqIfUjFNBfUAljgEVKqU2l/UWGuMvPW5aduV/D2Z9p3pYL0z8GhAKVeUgA1apqXxUuQzgVxyiTDTIXdB7sDMRS6 u8ORjWDLAmMoZpMQDiAWRxpHzEpYEE GFlqkJzg0ooI1kV lZP8t1r8pGd7lZn8Nd6shjxO72AZsFdIoNYkpvyaCAdAxL9LXE 0icEAapDz0mvrqjd/yY79WvHyGvZpw9ljhwzz/2pYv9/K90rXbChjPncSHNycP1i XdUIBkHklzplhLkMb1I8wC10mtNq6n8x8qKNVWVzxUVH/EXn/IXnwhUHC6r2VNS aRV8ANkzteN6QosUNo04 GAugk4nnEpWzMyt2XlblC0NXna/ZoSU5Q6R55X5wx6ADChZI Qi0tPLi4KG2tzl1PcsZ4B8hlYQkoIFiYwDF0YhoU4cOnp9WrWP TnuVVnwJy56U74rmJ/r0fORqWqW3B6BmUB0RhIYCUCFbgiNE4wx/fphaWDMoCaEppT6Kl58I eNk7bTr9ovvK6cPAyOfVT7/P lRB5UnDUm8eXrbt1DU1heI7HLaZRCn3lLCaLAbRKGXQXOvFqvt aii/JGyst0FhS95Aye8gTO 4jMFZScCla8UVz5bWLbBKnsMV9 vlAzSn07NXF6gbFNzD rKtpzsbXmO9Tn6GkfB1iL4E1PpdiiGonnyTOYSCAnEBGL8E2u1 CMMX00744g5dlCAPICZEY3PLCVhyIAQUhmFQBrCa0erOvj/PvSZdu99OluS743m55Wq yVxYQMgQwpRiEW/tAIRrTABDAPY1xRI7VRMBv4UUHyt5882M0yOut4 43n4j5/xxx vng8/ pxJ/xG51UV6aCwD2W9cvljd4EPsJLNGlcWnHgLFBCTCxy0KUgjK3PV pa9OOKsg1lpQe9vsMe/6g38Jav6Ly/aNRfcrSw9LWSipcK6vZrTRvtcx5qOLgmbXuH8hRX9tiULVn52x 1om 58wu7ZWVCwsdz9HZ7ekWMvzVRpJiW6TK7KeHV8TouJgFSMA0kI ogQJJLEkgCFVjGGJKSGEMSg4EkIIgVWfO7Nftz9k09ekuZbbyP fy9en5tiZXXhFwCKoRCmTytiXeoV/EElJGEOb4aj2015uS06quEx9ljLkVLy48dTT9wum84y9lv/F83oWTjtfP1T/9F0f/Biu4FNLafMhd/Dr2ljc8lpemjuQSkGMLKcHEQYnuZW4DY4PWIb2/rvrxirKny8uPFBaO AvO QveKvCfLSw4HQicKio6WVQ0YtS8mhnfGnjs9crjrzmO368calV 2qcqOnJwtuWAjzH/MkbdGs6/SPWv83p940muVTKIA4aBEH9uXBBkEWwR5MbYgMQAVkDJICaaIE sQxMiGyABFIYokABxc3DWIUGQRxxogJ3RWunCHofswJVyv2J/PRvXa41O7usduqXfk 3c6JjjgGjDW1t6mUa0wgITCRWP71rUauHyVl 2YPsrzC48YupVTwkdeV08fsL79onTmZeeaI6 jbNTv rPVuKQ79QFcbdVaaDxCkydmTMoXlRF3aKODiIxOZ1C ROeYtdUFcSIUMh3R9RjC4rqT42dKSEwH/meLCt4p954o8I0W U6WFp4sDZ/0F59xlLyt9W4MHPlZfPUZ//5py/i5lb43yrEjbkJuzIg9tZc6dRHki09jl8T3uVaqV9CLF4c3WDDt kOqaEYIMgL0F jP2AWoAKuTEXpoASYEJkQSQXc0JKND6GJcWEYkaJgTClFHs1R9 iRsxSoT6porZK3IU9fboc/sKuz8vKa8rKKXfkWUilHGifhjjY3oxoTmAtCGPtaYslcBidWLn Eq9QXoxCHl OtFR08t O//J fUm jMBzVb/ Bo31Bc/Y/A1uYtjKrEg0lyNlZPYTlRV8JSx0SDyA2RionOORVCMMYwhh6La RqzOYKELywqXVVefrC44KjfPFlecLbUOuknLzVWn/fy17zeo6HG3znqXmnd Wf/K /lH39POXtU XBn1gc/zX4pqqy25621o91E2ZSnbLW5d2H/tqLinxYppUpWueIsydUKnHbkYKbX4MUOGyWkAFBLY0LjBHCAKe AYWBexpJjgixt2YYo4JhwxuRWt2 30uWxTILhT0x/Jyt YZVuXaX88y/FzJ/gHyucy0uC2edR8LpAqUCgRczMKGKNMUMzkBig3kJKBpTB1PyN u5coIT94fZ9r9ETjq6eX/Y//znnjFTj6bsv /1TqHy2tfAhm9VtW3KYaKSyvhSZUKaUuukphYMYRJjohiDHGucG oSbDBuEcFRSrsEL5vF5dvLC1/qaTwWLFnpFgc6Wr8TbTmLNefrqo5UVp3mpQfVUq31u/9LT36Tsbp3yjn31HefzP9vU05ry9QtpXkbNJdu93K1ixlhz1jK 3Cv5daDpjKghH9QpRQpClNgBbZDrbCwipEApYWQWBpnqkCa0DH Tx7AERMgGg7HdugCmQO4KCzmHnOrAVeK2z9XRz9zwsez8Tdn5m zJtqzPyH8t336/TZQDFHPkBV56gmiZAOBFVGYaUsYtYXvvzn0wlBUsLFGhurhYyp RQFXt9HXn21fd Jn/3P/1V4btT16tHmF/7N1r 9rmljhedOzuPMU57C8lroilgyjggFEEIAEIIMIxNDDwQ VSvSUDO15haU3ltSuau47OWSwNHygpFq37Fi/qJfPOsv3FcZO aoeEYpf0q/5WjJwQ/0U fSzr2vvPWe8va7GW8fdhx72PHCTXlPe7Oeyle2ZSq7NWWLyF7N rDVc3OtseLxCiSiZzWkZJZmKTXEBoroEI4UYW4AxTYBLWAJiAc YRG /XkxtbSix1wYHFEdaqNfdtOnnIjVbk2Dbk5G7JzFmXnr0q2/mIC9zp1vpteZWOXBM6AdcbO6I6xZgSTgVHDONkXpHqK1BSsDQ0 H3FzbAGlCDQdfDpy5FjPxpce/9f/Vfb6q65nn2s49EelZxWpeqwp9IiqN6Vna9cvljdygeRTWF6cW0 KkQqhDiBHkGJkE QkMYFDlsIcgnu4t n5p9ZMlVXsCJYdKAkcrAqdKrcOlvpeKy14obj6UXrbO1bc/9PN/qdr2B/HKBefoGeWtC8r5d5RzH6adP 8afRYd/Sk70pf K6Zss6U9w9J3eDPWE7TV7d3s9q0m4j7c IuQUqq4ygAv8CJoFBVUEWxASjSha0LF7OIuQUBQLAhhcgm1xNK ERCCicqZ7KCZava5 V2NPOODK7Lz12dlbs3I2pWetz8h7Is/9D3Z1dn5 vT3Xq9kw05s6IohAiolJBEcMEfxXd W6rpSUSwMJtwhg06Pl6YXwpme2fu jf7p57YEnPvo/fvDvfwm WbFwfeUgYdyQo/7gveJQI/hLU1heS10RSzl5SU4swT3c1rEcCmF5VgPq/ZBwb5dVLq8tHprUfm gqJDgcIjZYHjlcXHAkUvWTXPO0LbM3q2KVNWN770HwWv/k49fC5vZDTt7Khy9qxy5t20MxecZ94kp7cWvvMPyjNBZSNVdvH 0nWb6FjV7o LcrGQ/qeC1esnyYqVBUbwKL7by85zufECxwBSNbydLCTKBMMHYHu1yCy JpczNujh2mRhhNay5fuwka/LAqszcNVmZm7OzNqVnbkzLXpNtfyBfvcXmiDnyA5qNE7WlLUIw FIh4sOCIAYJlI/uNoiRgiYml43JNb8xPL7Ar9zy7fd1v//nuA6NPXvjDL/7w2/pndxa/MlK0/9cDT/1HbuM/KnqZHaDr92rQfw9B7CdSPgQhhAhhjHoZKSSwGGklUC0HzqgAtw esh8vKtpSW/6qg LmCwCuBwiOBwqMVFSexZ6/V8pJS Xhky5 U cvdB8 7Tr2Te3w0 RI2pkR5cwp5fT5tNPn8k f1M4cACcfVTYllNUBZQNRtqk5T9vStymZOxXbvkznDpu5yqz9e VAxFFTMGBMFRgFHjFAAuUtiSQgSUAhgYWJ8JpZ2jpwWhsgZdjl lo83ZKmr0rPWZKdvysnYlJG WcnckJn/aL72Xafe63ZVqA4Tq7F4hENoAeJFgiOmU6zxrxuWqIDi6vycYT WvNU058NpzO986s fDP2248E/b/vhPN722H7/wnHrgdPjAX5QpDypmOfaJVN3yWuiKWEIIMeIYepBeANVirFcK3 GDhqeWeX1QX7KwsebaoaL8/cMBf/Hqg6FhB4RHD/1qg8eTcX/6/ypSno6//n64D59wf/Fo5dyJzdDTn1JnM0dHMM6PpZ09knDmadfqIffQ12 GnlK13Kjv7lc0eZUta/j4l82kla5 i7FaUjYrjcUfj2ub0UJbiUhBCXm4JRCjRIXcB4ZBYcmRweAlLj sew9AAiEHEILLFscjruzQWbM9XVGdlrcjI25KVtylC2KOmb0/OfzAc/UdE0oNdoLgup7a0RE0APID4oOGIqw6ogyfq3 wqUDCxBEdM6oON qj9RVfzxyZf3nTz88u//def7H219 8SDH4 WvfWm/eRZ/xv/o3rLKaWswkbtkH39FnbhCXvS8AmdaITIC1EhjpGcUwEOJm5bLq 8VKftjIBWQyuYYJPMicsiDMRGYGBeHwITJbh5GoUGZgb0MlnHY 6OV9pQULq0ruqS59prb0zdrA6 WeQ6WeQ6XFr/kqXtcrX3RHXlJqN03b//8Ftv8BHvzQPvq cuoN5Tdn08 dyRo9nz16PvfM Zxzp7LOHMsYPZI98ia5cMrxxhZ2/B znmlRNuRm7c5StqUpu9OUZ5S0p9Py1jjR/SL2YFdaIIsVYqy5LKib2EWZHXM7ZDohjEMvBwUEW5jIbaAZpog QJAsnhEHGdb87P5GX90COtiVLW5 RsyE3a1NOxjiWa zgAY0MayDmdFS4HINNjYWq7teRDzGKiZtj9xiWiF4 yNiet59xvbBrrU9vePvpXe0nYkkJomTCfvYXLzbxmcsSTIhKgG tRiXjC6/zjjxb/ 8mXj5w59vzb7z777nuv/vqtTf/8TsXRg/aTx/Nffqv1xEeKQMCny1bHy77WP2OpIJnw28/WjYQlpMQtmMaZCZkFGMUMUqJxginy6ahQAxbUCVWdlsthuTB3U KoihCgyPMBnaX6s zTgdVOPyg03gJABo5BhP8xj W7hNC0sOCXcQ6wSbJTptAiQAsJ9jDGKXIWWTt15Ae53ZngLxU2 1pffUV20pKzvgLR3xFpwPGqej1slG9lKZ51kcelZp31q75z Ml/7V/eYfck/8JnP0feXsBeWt88pb55XRc8qpt9JPXMg4fiF75J28s29nnzube fq4/Z2jznN79NHHlXXduc 2Z20vUx6H TtFzg6bslpRdwnXCk/p8ialVsn1pxumndnTqi0IHIopHFxgu00v94SZo4jphQR6kC4wE ggRRrEHwQAGAWd ndPW63bd7ga/tKMNOdqmNNsGJWNrRs6WjKzNaTkbs2wrc90P5KvfznPMzXO0pW csrqmrV3Wfw17IqdNtA17mEBAyRAngGAgMTAQEBhwDSgCmcrUK utjuRzhiY03210x4wm7x4x2IHCOOgUCoIxplCHKMOGUUE4wpJY hhN8NOgnWMMUYCIRMhD8AejC1MDIQ5RIxgg1EvI35L4y2Iz9Qy Hwoo/7n21n89uv/8udEjv377 TMjrx0bPfDR7xr3PGscfj3/zeOVx44qdYU5eg4kBkFegg1yaZd96SHIp2IxNMFzXPGf/8bA0mkQVRCPzvwa44hBSlRBIEOFGipSgQ/ohKoOy2XzuDB3cKIiAgnihaoRcHktzU QX2WWJrgwCKWqG Xm4 w8blMN1URAuEFersMNDI0E7JrPpnoxDZiGz2QY2NLLfR5kowHe 7sydXlzwZGHBCwWlZ0TF 97S92p95 rEG21VR83iHUrTquZ9f6Gv/TZr5APl3DvK QvK2fPpZ85nnr6Qefq8cu6tjHMX8kffsZ18x3b8ndwTb2ecfSv trVHlnTeV03vtZ7cpT9 Z/8K30566SVnVrGwLZ 4oz32qMGu7N3utkXUvCtxfpdQr7uJMJrL9ps1n2Qm1GRZzuDGF 5dhZIvQCrpte7DF0XkCEx62WqK5KW17EljPVbrvV6f6pS3s4X1 2V7dycbt alrslPXtTetaG9Jx12bYn89yP2tx357m m crWR9t7Syw GudtiqGKZuG6PArTnk9ggcA4F1EwET6eISlgCwsUt0kq8Ky/Gt4idgCQQGAoOO1giHY1gSQjCmhCDGNEpdmOgIU0gsRH0Q xHyYGQSeZ0YxAkWlJgYe70qD6bnfsPr/r6h/PvOxX8 9uypo4ePXTg18sF7b5//6IXRDx7 83 ETo3kvX6ocvR1pQSQUgGoRZD/Uxe/ CwsKfj7wVJC6NNJoUYEInjMWxK/RorcyKcjSpDbAG4DyC91wHWCtVKHVp0Pi1XsxYQKSLi7ROgl3M 1QPmBOFBDUsoodnkqXN1hURgjRNGZY5V5fHcQBzc0pMjhiBWYx x9VQT9Q3PMqsNZXhC7p1HBccM0uOllUfs8ENJPi03v 0MriiYP9vwJvv5526kDtyNm/ktPvEKDg6io c1o6PZpw5mn7uqHPkJDh2Sn3jVN6REeX0aeWds8p7J5XTL9nee S3/xNPk3NP66fX5p1e43l6unfmZsj2hbKlw7KvMXess2lKotCgltw UVr6JARbXcWa5M6IWqQfOwD5uVBjItt15rekpcWsy06m32LlXt ysqek5d/u8N5twp 6VYfzbc/kZ29Pjtna55tQ1bWhszsdVm5a3Nsa/JdK zqw079Xhf8Vq7z/pKqIQ0OqHqfYYVVLQh1055PCYAMETLmkQQGHI/FsZCNDektv4IgVnZNXHxTNB5dc4w4RvFYVLZAMCYwYQhTTAnjC FOgEaRSDrgXCh iHgQ5h9QA2ILIQphjhAjWKbV0vTkr42c1dClS/vLMon8d3Xf8jVcPjx4Zfe/Ce c/3P7i8VV/ a KFw/ZDj1fePh5pc5UWI7K/2Zv RVjee0KJLKnjBDk11Ghhkw49n2JKZGgenTGEdM40zgTiJkQIep GyO5zOkodarEGCyG0iGZiF7Fl JHDZC4qIPN4gGaITFHiKPDrCLnygMvGKOSc6hAAgDjz6KplsIb cvMayyh U1KwuDr0Ai18KRN4W1a 4i5 G4X0ZjVscw88Ht/2 6ODH6NV3XMfP542M2kZOOU6d0I fQEdP0COntBMnlLOvKWdftp08DE8cI8dHXcdH0k6PKm fUT56Wzl3IuetEdvZo/aRV/JPv5j99sGMd57LPvdUxtGfG 98V1knMjZks23u3B/nxrd0K9Gs3Do1k fk6bmQq8zL8jDGlrcQo2J7bpvFw7bcYZ9ver7tW5h92 b8cb7jfpvjUadrpd3xRF72ypzM1XmZ6 w5a3Oz1 Vkr83OXpOduzrP/qTNtcKuPeIC9 Rrj3qL7lTxrRq TXjmADxFBTU5uSbSNY7GZpiYcIwuXk9lfMMh9FevbpJETXjTyx b3EIJisRgiGFNCmcCEAUIhZZgLQKgTERflmjCh4YFUIIBNAD2a 5gO6D sGAQirGtV80NHrzvq2R1lmKf 0a8a/nNt7dvToidPH3jhx7P0LH7z5zm9X/P5fml95pfzMSPmRFwvvv1Xx5zsNdpFJcgnLz5hbfmLO UndSFhKAzgGfh0UasCECFMkYxgLMJ/OLCA4EpAYmBiWbvh0ZugqgU6VqDpGpk4LVVHiYgUqRggQi1CTU Uq90LJAgQ4CCPq1LHuViWtLockVl6oApghPDuXE4SjStG7L871 geDMrWlfQ/Ly9bNuin//fuOEp0PaUkliv3P5s9oo3GTf4owAAIABJREFUXS9csN79Y86J0 7mjp7LPHMs czT39NHc08fyRo/ljZ7IOnMs7b3jyltvZJ1 Qzs7Qs fB6fP546czjxzWhkZUUZG0k6O5J8 n3nsRM6p0dy3zimjJzPPnXW 9WLxR48rTxa4dhDbWsW327bkg2nmd72td3U6vFleS7NUdxGlGO ZRLb0e28P2tJlc68tW7vr/2XvvKDmqM //znSczl3h3oqdJk nqg4zo1FEgMBrYzAGbGwjEWRwwoE12Jhsg0BgCeVRBgkRBJIFi pM7Verq7smjkcg4YHttdr3es7999/W75vdHz4yEAWPtLjbe9XO p86cmZpbt27dTz3PDXUvx3zDYl1LMuvsnk0WZ7fJ2m0yd5tMW6 zGjbbaR 3gUVvNBrtps82yqc680WLeYLZsMNdttDrX2zwPG51r3dS9Fted dZ47vehWJ/FVi/uiWlOIwD0c5WUZgqGqY3TszLegzFnbhFX70uB/V7fkH7UzHP7BroELz1s6hyJJV7HkSIrHEO8iWTdiMIYnGR5SCO GYn8QDmDuEuxopLIA8NOlAlCdC26/AwHIXWH0JKO27aFrbM1zKD4 o2exQz5He/MRLa8YmFz53oPnY8Zbjzy7a/wiYz9n88N0Z 6PZfm/7awpiqepiZBCGcBjCIQchoqsbm1McpHwkM7u2DU8h3o/zIYwLeAkKkfYAW fncehnPYEGpz A80xj0B4kHT7MTtrcHhvbyLtSzaCepNp8Ji8AHuBsA3gnMEQBa ACmFszWugiQl6KOtaDxYdf8xz0XP2lYtvkL /4RnPfDS/b8vOXxKeLAGDXyBpBKpkqlRitY1XydkrGqGVMxU6tna/RsbTEPSnkwXgSlPFCzZl1xFzVXNu8ZyJJDBdeJAV9pzJ2TCbXs zmqMMsoXRty9ikubMvQdcx9 gNz/6fCx fxjFm4nuPvXH4/fbV 59oKGRpDATO0G64UO7ALCutAFLkPmy1xgJbRdZwT3ed331dTus Ll3G qeqLU AUyPgZqdtbVbLbWb7DVrHeBhG1hnN26yWTbbLJstpo0m48Za0y aDdYvJtslg22ByrjM51pida2zYGjt v8V9rcXZhOEunql2vBEMg6rbjUFmTrMTjKrr6MEP222e3Rv8zu 3JmAVLl I0TdLVZXwphBCiZvp4IPQhyCJEUxBRCGcQ5qNJjnT7SE89hdVD jx9zNELvEs71VT9Y3Qn0LS3jJz45om5T1f7RiqIrhVF9uDA ve/V1y49eLDz6PHrf/HaBX1b W9dYg7Nfmb0wUD T8ISURyk/ATlIyFNQZKBGAsxdqZdMffWpCjKRzJ gmMJjuLrXU1t1vo2K9NkJ oJWI 4QC3lAD6zJ G2RmsAB0xLzLYb/OBjdW23fwwsdYDFgLkd79jdGvghB 9ubX7karD8GtuNj4Blq8EX9oNPd4e6y2DlDxqeyYHLbo eeJVRXgUZHZycBmM6KMogN Qu5LF81iFnrWq tigBXaopKjXFIiiNAbUM9BIo60Aq2HsGWnuyS3P64r78F175cS SX4XuP0YefF/qHFj8/JDx7wnPoCJ0fnFcZFI/d/7HcNSsnliW3g7vG6r wEax/rOGWT7CXG8BXa u V2t/0GG5x1n7TU/t1zyG73gsd1gNa osG4DhMWDaCwxPA MzwPAkMO4xGLebazdaa9bZax911D5qrd1oM26xW7vrLFuMxu5a 4zaDaZfR8rjFsbXGvNvi2GF2bDXZd9qxbVb3bU4s4vZ6OM7Lcl 6WwxiOpDkK8TTiOJKbW0WhiiXGERj74WI5G0UTZ2NJMDOtmAVL lxJUdU4vwyLIkiQHKRrnfTBYTwUaIRvC8ADm9ZO4n0O0D2E0hl OYj0ENBNnq8HR56c w N3NYOze JuDi0dznxjWt8tybzE/MKopo7p eGhoz0jlmueeW/Dk/rv/7TfhZ1a1d3/d0OikGCdFe8 0J98xKHJ2WPvHQom/Oiy56ut57vOl6nRtgsVJZkazvYWQhTxNRmi i2ha5G6YZ6NjdqLeS3NEAwIB4Fhs6fx2JPLtALgUuG51NDydNq 5rdm9Y6t6wzL653dTdBnY0gl0x0L0YrPsM/dzWhaXp1mOnqf0n WMvx0Z/aTncx8nlptw0eWLYKI2AkTFQUUFJqimqXr2MZyU8KzkkyaQqQF eArhrVolmu2OSTRnkSVMbByIilkOd7 i4ZUm4fffHz 4/cd/ql84/ KPH8vvN6n//76enu0z/b8dqvP3n8RPszz9z9xs/vPqns/PXBR6e/vOgesG86dFB3jg7H9O0XfoMBa2n3OrNxhxlsqwM/qAP3uowPOkzrnXVbrdbHjNY9wPgkMDwBwNPAtN9o22eq2240bD LVbLQZN7usj5rBRqthq826rc663WzeZjDuMpofN1v3muu2AbDH ZN1lMG0DtY Z63abrHc5XKLTTdIMwTAEzWEMR9A8onga8hzJ Qiu rUnRVEkA70c4eWIDzWOrfbuVLudqlgSDFVlkmCYhectQQhxEAY RDBF4A4Y1YkTIS7eRvhT0teN00uGOOJwtpLc QJMh2srDOo6CHNeE00kL8ck69msI y4D/uXpC8ePNA6cmFepdJdKGWmgd1xTi1IuXykef/HkuuHKpU8dvPcf3kwcWvOlyhO1zVaKtVKMk6JxiqLOmsv5zh6g D9q29K8LS4ZlAjQdhLSPZHjIMSSLMNrroZx1uLU12WL2mJykLd TiszmNVqe5NdxBo485nZfEE1 mmWXQEWtiW0mXkW2rAY0AXAhaH8EC6 3Ne6F9sxGsB2AvCza3gmcvAU9c7C3/Pdh3mVm5gzm106ntIEoHvYUjmJzDZN2aUS2FYVtp0qWM84MToc I0ODxk0keNIxOgb5Asj3uGVPuJHCaXQa4AMkO1o8PG4eHajOwa KtXrr7iOqS65BJ4/FNHkeceOPDAxvf/FN54bn95QyN5eOH73eH7dq2O7T08cKU8MaZMDlcme8kRP8aU fTpbkrOljQPa0r6CR1Ztcp91/HjDbzNXrHCBBxnDI3Vgq72m22W9H4BNVstul2urwbS9xrgTGB8 Dpj3A/HiNeXeNdVetdbvB2m2ybjFZN1vMW8ymLWZTt8m0zWTaZjJsNxp 2Gg07jYZdhhntNJ7R912ulLXOD2mWZhDFEDQHWR kfQROcyRfxZKDFI3 fFjO9QZTFJxzlQTD0Dy3dMl5AQo2EESLxyPieBrHwpa6qBOLmV 2f4houtmPXBRq6DOZ2RPLQ465ngA/VhnivP9CMsQtriasBdpfX9T0WvPVsunSUluXFYyd3lyrZQn/viKzI UF9TD kSYdeeeUz25 476WXlg3sfPitXE1jTajJjkMTx5Mcx2FeVB9q83rgLJZnfUxPU e cWvDelf vA0uKChC038v4vSxHsizNUgwLaY50UU4X4/KyWENryGACTS31XGMAACRGvy 2bJ4vrF0avr0NdKTMofmMl6LApx4Kk98FVLe1dj2wdBtNu121 33g6TA4 imzfKtRvQ87vRtIm0HlKfeLA0A5YCq YNGO2Iq9Dj3r0HVrcbRWmTRlJ1B2wnlUIkoTNn3Eog87K OmAYnUx7zacF2xDEp6zfiIabRiyOS8JwoxZbL wEDTod6lo OL5NyN02NfHup9bGTk OiINDlxtCTv0wefnFAOTlcOj5TycnlcHp7M5yey UpmdDg7PZEfnyjsHy8sH821lQdtp4qOsZxN2ee NQ1uZ8BqG9hQA3aYzHvrHNsMpi2gdo/duRnU7DTZumvN24zWbUbbNqNtm8FxRkbbNqN52wyTpu1Gw5x2V n8w1Ww7S993Oy5wOFtnGvYUzXCQ9ZEMDxHHQt5HcH6C85EUiyh EE38OLBF1FpbUjBtnGJKmaESdN6 jEcfTNHUhz1/R0HCVj7/I7Tnf4V5qsl1PslfXWm8mmAsBWGh3 B1WK8KsrSFzU9DN80GzcwEwXQNqVuOmu vBPx6Pj fYwVx7QVsnqwNKNjuhl1RpUK0UjquZw NjX9n59AMjo586tmPVq8ddYp3NA0i61hcgKYpxu6CPa2bo4FlY et8Z4n5A5f8rwBJRDGKCOBNwcn4ny KIoknI4wRHYM2tTThNunGMZnwuO8ZxDRhfj1EXB G2i8TxBf6DlzDrbwvcsSH15Wsw uK4 YI7fC07OPisD3Q7nXsjhq0JsOM8Jnubc AHuLYLLx9wFI84RxSDLHlGJ2ozubpcxl3IOjL97kwGyaN4fsra N1nXP2U4VqgbkumTL4K AXCixzE AQoSkHIgPwiGFTCqgXwfOHE0kFfnDeqpJ4907tl3xdHnV70y/chk5alXpnfJg72jWn8pJ48ouVI WyoUhvVMUevNSdmspmvFsnK8qJwoSJqkjpaK oR29LT06Mv56yazwWIfGM3V/nq0 R8OiffwYDUAByxoO6h51u7pBrUPA7API9eB2u0u73pz3QaLbYP FsdHs2GJ0bTO4tte6dta6dtY6thvN242mqub43GYydZsN3WbDF oths8Ww2Vqz0Vqz0VrzfbftapzsdGGtdmcjRvgYmqSrez34q3H s2VhiHIFx57ab9bnabNsSVls0VSyrkxmCNLq4vT3mdl6I0OcC/i FQjdC8tO1NdcSxDV25/dI hZD3Q886FpQc4XD0 HxkgSGN4UA8iKeFjH3NYi81WR8hAZf4cCpA2hCpbNyWiqu14oF RVJ1RdW0IbnYn9Uzx4rqQ88e36yP3jywf93Jw5teeKAlbvKFLB hh8XpxSPI828IxjRTiKApStJdi3H8ZLD/EcUuKIRCHMbzLx7t5nkZMEENNbrrJy5AuiKCPJhsoT6NQv9haE/BS6WDbzfOSaos7v5Q4dqPvmVXcQ3vT370Jayw/u3b1sS FN4UNWxvAbhHsWEYf 26ytC8wuJfOHqDVfk9hEPT1WpRhQ2HUok6aCmP2QgVTR10Z1d6 bJzKj2NC4o2/Cq5zGxiesFQUM9bjHy46REug7UqPnLVMlUBoClaxzTKaLmU5N /prP// 1M uferwzccPPaT1HX3t5NGKKo/qg/l dUTKFQeGlN6c1K8VssOyome17KA0lNMlXSuUjuf1I4NaNlPU1K Iyqg6dlg69rDys9swv5Vkla1OPmF8/1HBvC h2g03AuM/o2AUMjxmtjwKwx4M/ajBudjrXWKyP1tketTo2WBybTa5uo2t7rWtXjXtXjWO7wXo2k9 0mU7fJVI1sN1sMG62mjVbDhjrDhjrDujrDAy7bzYi5yOZOGC0R t7eeRhASGEVRfIBCHAs5P8FUP1ihaIJgibk1vj4km8OSmpmIx1 RnO3MQNiN0WSrZ5XBcThI30egWBL9lr7segNtJ8lan4xGcfNBs 68bQnQbbLTj9eSaQQnSIZ wOcyPvabOAa9iau3lwOwPuuRDoB uGZU9eSemVrZquSnIxX5B1PSupx0sjuUFNOpgdfm70dHc5v//FwUPyFowBBA1IVOfzBUKBMCRCXjdHIY6iCYpxU4yTYtwUTZy1m Nsfq/x/BVhSFIUROEZBj58h/GwQchGPr90RaHe18BZfK9PRiM9rcC3kjQtpy/kXLLsvEL6rOX68CR67c/GpbYvlDdHNbz/71q8OaRODz2enn3tkYlPLUytq9q4gtG3ccA9/fCicnQxIo5w 4chpxpwMJNU0MgakUm1pwqiM24unncope37ckR 15YfthYpjuAJKfWByCGjHDYWjDqUf04ew4Wzt0CF6JFt3dF908 MjXXntx8 s/e/bkT3pLrz2fH95bzj83KWlTZTk7MJrNVob6h0v5vDaQ1Qbz8lAp lx8vaGPSsC4NZ4ujg5Xy4PDQYPnEoN6T1QZVWa9IxTGpf6y4b7 D/m0d7z XW05OCNrTDdcHwQN sI3x7qep1QA86fbsqLNttVo3mE3rzMZHDIZ1VusGi22jxbbZ7O g2OrYbHNtrXdsNju0G6zajeZvR3G0yd5vMW8zmLWbzZot5s8W8 0WraaDFvsJrmtNruuAsyV1tdi2uMaaezBRKQ9HogQfp4kuZoxP nIGSxpiqh MPBhb1syO1haXcO6OmBD Umi2e3 TDx kdNxA4l/hyQewLE1HtdDVstql cHFsv6OvsGg2mn3fVDg22VC90KfVd4qY66utY6cHGbZxEJrmkD d84DV9FA2uucklGxUJcZiun61oKkZNVKoVTR9ExBOjwymi3IWW n4xYHhl3vGxwZPZh9//h7SB0gWsD4nQjQkgrgnGPCFZ7F0UozjL4Plh9m2hDRF0CzE/BCnyYATDxtRJ/B31TaHzfGIZwkF2iP2y5trrgi7b0wJD/It329o3x5p3XTzvKdf3/R/frHz5/985Kc/zo0PHXtenhxcp y7MtM9f wA6NsLhnpp6ZT3 WHyuO4 VnD3y858EWRz9rFxIMu1xXKNpIMhxa6MeLRx85BiyRbsqmbO9d lzhx0nnlx0Um85cqCj98SKH78S7Xmh5fizrS882XHoiZW53i2T Yy MTvRLpWJeLxZLPePFnnFZ05TK4NDJwdxUJjeiSpKckcuyrOZL cJIQR2TKmV1OKuXT haz2ihd3gwo/cqypCeLZazZU0qKMWeTHmPMr36hHJpT3/72MDHft634uS6K78DwRonWAXAJlPNNpt5LQBbrOZNZuMWq2Wzx bzFbN5isnabrN3VRqbRts1om51j8A4gN1vMGy3WjTPHM1pb51j lpb9m9VxmqlvsdLSRHgZ53BTu5SiCYSjEcZDxE5SPpFgEq7Nk/wxYUtTMYtZVV8kiGCLwsNO5Ih6/wuX6FiTvc7vW2qy77PbH7PatDucGs2WL0bjNUPuY2dpda15v8j xoh98j/N/0BVbw7k/7wXwP IwAhraHXpdSp0oNRdml5EyFofhY5XFJLg4VRwY1XdYGpcILFf2 ElOsrl07npGlZH80XewuVbVcub0Q8YHgbQUDc64N4Q9AfpRBH0 fj/TCxpCvo5kudxwodDhDXZiS4zf1mdeJVn6dVNy8O1F3w2etfljf dfG9 5lF2bbN0eTvzwO6tP5EpvKsemfqr 7HXpxYFnjxdlaeyl8dxJ9cmTuYv3rWk7vN0rHTJUckDVbGqlIS 9T w 0yTo9UHAPFBx5xSGr1nyGm6qY g 5CkdRcdDS8yOvNOSfGGVPHL/3l7 atcTazOVA2M/OX7yV09oL351z3O7X/vJlw4 u6FSPHhy/JAm9StZfVQpjuUzlWzPWOl4Wc9Iui6XRwvlsVypXNA0pahoqqw qilxQC3lNKqiKJCmFfi13bETqqUiqKo/mlIlBfSRTVqSRTKn4Qulw/9RT0sRaRbs1/8LVw4eufPXo9W/t/9q3zeBovOlBANabwboa0G027LZZH6uz7TSYdhpM22cdYxXRzWb rFtOMNputm81nCNxstm02V4 2LSbbFpOt22jbaHatdcA7HPh1DvdFHqcI3T7Gi3GEi4EYyyDqH VhS1W3/PvSF2Oe2e2Cqa7RyEDbieNLr VJCWOF23QmJh x1GwB4DIB9oOZJu3OXpW6HofYxk2GP2bjbaN5RY99i9G60MXdb 7JcCcHMjOPnMZZMDi6bHkgM5Z1ZxHDsBNNmsZhOTlScUZThTnj paUCR1QJMPl9UjWu5ERZ2SBsZGcsPFzJHjfQ/e/dAn7BjgA87GxmY/H0ZEs8NGzWLpoFjb7PDJRxjLahBCo5ldPWZbCNVZGktwmiZpCr EcSVMERSMaIuRkocdHwqg38HcO8cvkx1Y13bi 8863nv Xa5K3Th393U0Xb7mma9MNFz/dd jtBx8e6S e1CZ1WckO9Z1Q5FypoikV5XDm DFlqOfl8fWj8gM/O71EOs73HqCHevjeY19688fLeo9/8ZVX5/cMpXqzwQMviJlc49Hnv/CLV4S Z4XepzuGDjYe2L1I6v/sKy9f2jPwxNSrx5UpRTqtDUwW ye1wnRvfuyoNnJQ1TJTE/lyKVfIlkoFRes/kX hvzwwOFru1Ur9eV0vjpWUSjGvq1m1rI/IsqpoqqZpiiIpckFTC0VdVipKT0nuL2klRR/PlyezpbFcWVHGM5XR3jHp PDxbOm5orbz1bHtLxcfHOn59luFB78ZAL9edfO9EKxCYC0CDzn AJgyst4HNNtBtBd0W0G0B3eaaLWZTdYBko9Ww0Vqz0WraaLFuN Ds2ml0bza7NJtdms22LybrFbO42mav9t9trXd0G92ar9xGn97s uzzWOuotclnbC3kq6fLjTT J EgYIKkBQfqI63eqdw h/MGpXXYpldg4tOdcyPGsThw88UlR1Oi4kGIixlJejCIaiKdiI4x 0e/GsxcaXLez k17u9W82WvUbD3lrjHrNjR61lKwC7TeAxY 2eWvNuYNtV414DLDspeB0AX2bAb7KXK4f9R3tNfbopP2zry4Cx ESbXk1aHNhZykjr20oBaKWj5oj6gq8dL6sBwcVTLVk7KIyP53t Lwnn55HRUAtM GYR6HHefZlqC/jaKYM23LmS6fjyqWNKJ8JOMjGY7k5vZp9LKci2csCC74xMesFP L4Oczn83AMFar30JDkiCCiFrgjFwPxM6B9UNz JLdqZ/SHb 3/7dSJXxXyP 5XXxtQX8lKrynZH6u5VwpKqaBJiiKpiqQokqJIsioVNCmvKUO6 0lPWnx8tPT05svfk OPTkztPndw0ObHymafXTU59fs erx0 esX2nRtOTq98at O0yd3nZp87NT43umxJ6bG902N75s8 dzYZG9pJK WFLmkSqWiVFLkUkEpZTU9q nZolZQFUVRFEVS1Lys5gtaPq8peU2TFV1RNFWekaJoyh/aTFbzmpLXFFVWipKmS1pR0hRZL6hatijlizlZG1S1vrJ6tKK MKwcmpKe pWyc3T3zW/ 6I6b2sAr2z53IwtWp8EtJLgDB s4cG8t2OIBu9yGDQA842W21BjW1YFHnWC1AWxyuNbWujcaqW02 34Yaz4Ya6xajcasRdNeCHbXGx82exw1wB/BuB9bHXe7HIXFfDbjTab6VcN5EeS8wgcuDXBrzNNjszZCjHJDy 8DTZ4OfbCJyiKMhzFMcRFOVCyE7TTs7noRinB7dCDoM8RAHeiS DT1GQjIGSDiAlSVACHPEnykA7QjB8xfo8XkhRPQobmAyRkKM7v DzR4vV4auiHldLNuO 1 Ig6nsAoGMTItA3/Zlv620ToNoNnjQuttTjXmc1bbM51wLHVjO8wW3eYa3cbjXvNtl 017o3AtgaYNzPWb3vBl/zgx0fir8j1gydqMjlQLNcoqkXKBpWhS/X8 hEtq2sTBXmyoIwUVE3WMrI2qKg5VZGKslRUBtXhg33yrq/8/RV00OYlLf4QixFeApLVz 7fNe3uIzlAUsXST3AcydGII2kOYxkPx7l4xhPgUxec5/axDgpSwUCd241BhBFe3geTvsY4oL4Hl2c7HjvErHscPbKpafU/HPinsf43hrTxoyP6sRFloCSpslYuaKr8rgr//pYp6kMvv7xbUfpef MJVX26qO/L54s/e/OAJPWUK/2l0oBeyhT1rKbnVb2g6vJ74PSXtKIyWMzsmy7u1XoeHHzmG6/l7z119Etj z79sx99/l8OX//KuosfTYNvu8FtFnCPDezwox YwGoHWOcF6xxgg8P qIncZq/faOC2mundTmKXo26HFWw1gK0AbAPmHQDfDchNoHYzAGsAeMrp3 mI2bfE67rGCu6DzthC1rBZcAt2isebjoaZ6YG7HfH6DOwQpFhE 04aFJB4scPO30sQ6esXOMnfd5vITd3 DzQIIKhLyM34N4SPu8GMIJiveFeF8IJygvRlA0S9EsRHRjUwtO QJyAXoyAiPb5OB NM4wH8xHOILQ3Mp5GjvGzbYhe7ITfaW2/i6i/x0Ssd1KPWuxrzeZ1VtsOJ/sgMDxLsZsBeBSA3UbXU87gDiu10e28zwNuYcH/d L88hPOFyXq9Ag1MebUi0BRzFK2Vc5 tiyvHS2eKKvDcn6iII/n1Upek/J6RtYGZS2jKJKsZQqlI/nKoacObbJ6ABvy1LlrAvUMmokLqHetTvC 9hfGcnZ 80zzYHbyFIV4dsGSxR6Pq7k xHixVt7P2h3pYKgFdwWB4RKPeJ3jotuc122PPvz23t//7uC/v3H4zdGhU3m11F WBsr5rJ4vykq5oJwTlllNP1oePlQZOTo eXx84lBRHxibzE d7tVKA3olUyxltdJZQFYd3UfIZEXLKXp5alIu5UrDvaXS02OVX Xr2 y XHsjsv2aq5yulJ7/w8qGv/rrnzlef/PrAvZ 8N2G80w1W28AmHDxsNGywkt11/vuAdaedewSANQBsNYEnXJZ9DvuOmrqtwLmrBh7CW3bVEo8bsR3 A9pTduw6ALVbjJq/lLiu4zQ6 Xge Q5mX14Cb3YbbSMetLaEFFNUAIe90 ty2RuhuZbFm2hMk7KzLFA5SHOZxGIytDS0M8tmsuI vh5DACQcJXSxHcDyJKA9EbprBAkHai9kCQdruMAZDDO DELmDAdYPaYakvQg5WMoZ4HA/y1Fk2O26yOa9MxS 30M/bHTusLm3GYzbjGCrATzlRdsMjvUA7DRbtwLremDvNrCrgH2V3X AXBL/cueSnh8I/zvu1XqNasA4MAUUDkmIo5FuL8tUjxTWj uGSqkn5EVkeKyilvFaNWTKyllMURVbzQ8oLxYm E5lnvLSR5BwY5SCQh HQe2H5kf6wi5ntRpuZ/l/9yjbkY/9u6ZIA5o1QNG8wJzAyBGq7MHwB7r2yoe1SMrbqwm9sufSRb0W 8U9H/uXk0y9N952u5EYURSoUM4ViRlFzuiTp0rlhmde047I2ODrZWxo ZGB7t1Ur50Yl RR UtbxaKqj6XPBZlGZ0Tul/2FZQ9V557Gi UpiY6FUGc8N9RzO7pNJjWfnRcmXjqZPbdGlIDdJ/AAAgAElEQVTVsLT6tL7xtcqOX04 caJNb/dd/f/3XrX249t/IbFurl13iO 9JaGhQ h1nW pgdJ8n6v4yHM9X2b4w5Q930jvYGIfAd4H/U2rTKh1Rb8bgB20WiNy3S3CTyAg4dYsIoH9yBwuwusZsBqCL5c C1Zg1CVu3zIrurCOXOZCy7xoiRtvd7iWcFzQYEogLkz5GBvpJw Ot9SKFcT4WNtajUICgoA0R9qCPDPkhS7kp0gFxG G1EV5bfYBmkAdzW2kcD6FGDm8giIAbcl6WhwwdwLxRi/lio k7iL6/zvGowfy42fx4DXjSAHbXgC2gdq8T/wEAR/z8Lrtjo8W61lq3BjffQ4Jb/ODNZxO/LSVG xyFQUNfv6k0ShRUkJfNkhwp69eMVdaOFA8V5bxUKMlypYplQcv JWk5WJUXRZFWR9IFB5YUXep4iOQftx7kQ5fLYaXZuwaG/BiznFn04a kHSFMEh/B6EvtEZ0cHyzQbTAs9 AKb85MkezliFxsM1zVFxh/70T/Lr5b261P9r785/q/6wFQ5N6JLSlkeLCt9ZblflzO6JBXlc8NSVrSsVlLHJpThsYyk6 SMTslYpSEVZ0RVZr9KoS4ouKeWCUi4o54r9h22yKmWV/JCW6Skcq5yWe/LPVqYHiuNHSuMvqMOHSiNHJe0FVTuezR7t7zlSlKWTmvyGdPSV 409X9jz 9umfnn5m6JXntB9e e3Xn5Vefur4G/sPv3W075 PD0xte KJld 5c8FV3xT buMVN72x9 CGT1z11t6nbqLRa4/ef7Pf/q0G61eCYHrdjf 0/7tvPXHLDSS4LQRWOsAqzrjJVr/DKHYbhfXm6GpL692Wxr 3hm60 a8jmj7DtJ6P1wsuX6PL18JGLACjYZDGSYb00oQHep3Q66IJLwt xhsQoDGtraKBxsrW 0UdxhAvjERtCjQ1QCBIJhohRqJllGwMMF8a9nXbrpyzG23Hvgx bzZmPNE8aaJwB4zgj2ALAZWLbUuvaz6JFacBcAjxLgFgN4oAl8 KwT bWBRcU9N6RiQ sHEFCeXgn15lJXrMnl3QU4NV26YGNkwrB/U5Kws6bJSKqh6QZMKWl5W87KqKHJJkfXSmHqk/0ChOGh21PobeBfuDNYHSASrW5L JbH804PY6pIfXo7CWKq6OhNFEyyF 6HX77B btH8ZmPtfKd7vtFyYZ39MyR9LRv4HMX8h6z9a3lSP5ypyJPZwv hzR4ayxWFZVYpKZljqG5V6hqX ipQpytK5B5laIa8W8qqmlvv6Biql0Vwmr8p61TGeDWS5oFTyHz ksVUUaKcuVUiY7dHh8tNDXf7AynM1LJ/JSryRnhrKDubxSGp4qVV7M5Sdz elSaVpRhsrawORIOdeXL2WmJpXXC0eGT tvnFKnJwuVqbwyLWmTQ/rwCXW8Z yl/Cn10OD0QOHVjPT6wMBP o6 lTv6Zu9Tpw6s/2Vu90tHH3lzcH1h25d/m9/0i8P3V9atvKMVX4O37PLM3w0XbYVda7HUfZ7Yd72Rb6LodbDtE 87AishiGpguS36s2dsUxFojgXY/0QjtHOP0t/JiNJAKkq31ZCQW6vR5Wil7o7uGpezNyNro88Yj/AK6LsrZUqwtRbkEhLXSeNCPo7Db1WUzr4CeO2niIad1m92y21i 7G4D9JsMOAHY64HqH 04AHoZglR/cHQD/ sTCr7SANw 3jB10TQ7VvTTurYzYHt8PRl8MH pxD0pwIOfPF84frnxzfGRrWTukFrKqUn4nlpKiKKpUUmQ9p TzxVxxWIsmIgar0eF1BkJBnCTQmd7jvyYsq4umERSNc8gbIN1t pOeaJQuaAPg4S38uFFxSa7glFv9ue dPnnn2zb7 6cGslsmXT54qvvLqY8cO56dHs3pGVfuHpZ6xQs9oYbAs5VV5ps PzHKq1rJTVkpZXhrWylpdG9WFdUsZKIyPFki4puiSdrXJB0iXp I4WlLiljOWmsL3sypw33Zl9UK2NZ7ZQ2Pi4Pj0qj6oCuZoa13F hJOqlJU/nBsWxW6y8c75Gez5cLOb2oD0/n5LFsfiSfL8tSUZYLipxT5JwmFbRCUc9X9HxlUh8/WRrJvnD0ZV1XDx18Q8uND7zwemVI731yvHDg1fGeCfm50aGnTm cP/FQ9NnXiwMmenpcG8q9l5VeHCi/1DE0f7Tt1rP lnsxPMsVbP3VNaX/v/TfcduOy5Yv4zm9c9g0ONC1p /z8lhVJ31WN2N/56i5gLUsZ41JYuzgCr6oD6fPavk4ZLuZMH29wXRUhryHAeUHHh fXe80JwkR8mObwh4KUiHvd8V931fnQbj 7B3Gu97nVW6/pa42NOz1qD V6TdRVruScAvukDb 2n3i6GRveCn0noZD m9zlPjjK9faAvD8ZfRz3FmvwoNVBo7BvsymQ/WyndNzb8ZFE5phakojYqKyVZ0WVVktW8okiKoqiyrsj6UL6gVk pZqfDgIw97SYLmOS9GkHBu9 53oPTXgCVLIJqgaS HvAHobIWeeQH60kjTRT5qfM/O68Mt/9p3/OeHf/Szwf7XZEnp75VVqV9Xj hS4cXRo9pAtjSoan0VuW9Y6q8UcrqkyEqpoJTOqbNUlRVdUuRM ppgtDGu6ks0XC7IuKWpBKsrvIVWRPjTE/jOmS1qlXz2dnTg5ODo1ND6VnRgbGiv1lUdy48WBSik7PKJOKkN FOatWSqNFtaxosjZRyFb6h/ShjC7liqX vFYaPZmX9bxUkNW8quVlJauphVJRL6rlQk6RC1pJ0YvZwqSmj bzpzRtOJspF4bGK rQ0PFsrldWsrpSKOYy44pWkuVBLdtbyQ8NF7LlfE7LykqupEpj qjYp6/ILfdOZyouZce3Z/K9Lvxg9NPzS4E/KR396qvC7E3tf/NYXNl255PabLl9z7cdXzW 84QvLVi1p 2rp6P 54RMbLox9O8V/cUnrt85r 3pX4/KF4c8vED7bHv5YtCEd9jW2 3wX OnPBOgbeXQzjt1JUnc4sLvrvGth4G6n964g8SUGrAyC3/R8/MVDjeVn8Z W2wtH/Ep/uCgLmVxooMBnNH5A445kUL8c689c0NNz1dDAt8rFLSOlw1oho aLJXVKkStnsFTziiKpsqbI ujk9JGefn14TNKKn1u guZ9c0z JbFcsWJFTU3Nddddx3EcTdM0TfM8DyFE72WQQgSFcBoRNAkpHF I4RXlY6PGRjhDpXBQJXd4lDOzeVNjT/Rs9N/Xsnh/nesYLQ7pSUDS5UFSzJTVTUrMlOVfKK8UhTRsqqUMlJa8rsqqUJ HW0oA0rakn9k01TVF2RdaVQkmVdkXVFnhtbVM Sop3Rn574n8E0uVzKT1eyL1ayL5ZyL5Zyp/X8tCZNadK4qgyrSknRZKWYVfQBqXxCKh TysdUvVfTBjQtq6kFXS7qcqkklUpysSLJFbkwLOWHpfxIoTBSk EcK6nChWJKLJbk4XCiO5dXxnDqeU8fyxeFCUZdLqlKS1GFJHVW UcU2aKOWndGlU0tSCXpCKBUUraGpBV SKJI8U1LF8cTxXGs8Oj2fGJ4cmxjNT40PTY5mpsez4SG50JDc6 khsfyY2PZCdGslMj2emRzOnywHRl8NRE4fXKwMsHdw5878urP7 Vk5WWLv/rdL2/avyunZU8Nq9OlXHEkkzmd7dee2PUPvcf0H67ZcumVP1z08fsT5 26 Jo3Nne/ tQPTj13y9TBWyae/ 7E0QcmBtadlHZP67t0 QFZ/sZg4cre3MUDuUvy8vKS9p3RyqqRkdUjlXXDpccrxR9VlGxJKuu FCU2aUuVxVSmrqqpqBU2tSlbVYmVs8mjvYGV0StJKx3oHQk2tH O/HcBJSCFLvCcF7WzqdbmhomCNzDrY/YhRFeb1enudZloUQEgSxfPnyM94SALB8 XKaphFCEMI53N/TGK4qmuFolkMcC30s4WexBhbj8TrCDAQfFoF1CcbV5ACtlIugM SeH3CzyMoigEKQQhUgK4RTCKIRRCEeIhIgmEIejEI4CELHnUBi InE2tKhIhEiESUiSkSIKeET4jhNPnVtYfukEWwhABGwnYSMD6q nAUwikfQbEEhXAGw1kXztXhvAnnjQRnQrSreqcURAzJMiTLEhx LsDxB8wTiCeTDq6L9GM0TNIIsRDQFaZakeYLmCZrHWYZkIeJwi vNSPi8VIGAIkfUUUc8QAYRoRM2UJwNJliRnU2P9GOfDfD4swGM hHqtnsUYWD/gI0kd6/ATmIzA/jvsI3I TPhzVQ57z0qwLBQhfG9caCUSaqEbOHWRdkRCa1 Jf0MgnOBhCXpLDvE0Ia3DbloQC7RiM1joWOvkUgGHgPg jYh7QQoB6DPg9gHfXchjOEUGe8jOUg6IBZABkAKIAR4MQDRrZW h8NeAbwlImFHpZgGbyewpspohGRIQQ5hBCizq57CCMZyPr5QKM v1Fjf3FZjMiOKwQi8Ws//dGtoaKBpGsdxhFAVy6pXfF OGIbjOJIkA4EAz/NVj7hy5coZLK //vqampprr72WZVmapimKqp5EfrDhJImT0AtJD4SulkaOp11B3kt h5kbegzwggKwQ2pwhuq7B7wn4Ec/7GDaE2EbI1iM6SLEcwzIci3ie5AMkF0JsA8WGGJY/h8JgaZalWQ6xHGI4VH1ZMBxN8TTiWcSzpG9GhJ8lfDzpO7ey/rCN4RAZwIighwh6iABGBAjCj0gfTfrYav4pjqU4luLpqhDPkny A4EMEHyL4BpKrqonkGhA7I2pWDNNAciFnMOAI V1BP 7nSR8/VyyEn8YDNB5AhB8hH2I45GOQj0EcS8/Jx7B mvXTfJDi/ZTfT/l9dICjQyzdwNINDNPEMiE/zQZpFKLoIEWHEBuk2BDig8gfIHkOY2kngg5EOSjazXAeH cN0t4W6G0h3PWYi/O6SNJD0CTBUyTtdflxnHV4g2623S muESTozlgZ5p97oYg8AcBFwSMH0DeDhke0U0U08owIZbHfLw1y IN6DjSxlibGEWTdfobw07SPDvhQM4fCHApzVCtHNXF0gGNYjkU cCzkWVm/W5vKygQa7CydpzuHBAw2Njc1NvJ8jIE5AfKaSzxgiSfR MBAE4fF4vF4vhLDq4T4AHhxHCHm93iprGIYRBHHttdfOYPnFL3 6ximU1iK16yz9C busSgV0e6wutyUQQh7M0tBEk6guVE96WY85gEwB1sGxBEXzBAp 5UYMXhby0D6cpyBIU66W5qnCKIygWIvpc3A2JEIkovBpRz7lHg iZxGnkZ5GWQh6G9DO1haA/Dehn6I UtIY3hXJ3HZ/TyJi9v8fJ1OOvAWQ9BYwSNQ4pEiEaIRjPrG3MQcV6aczMz8jDs nOaKsVqSOMXiFOtmWbOfNQQ4q491cLSHob0MwmnSy IeDvNwHg/nwlkHZBwMZfdBOw8dDMSrpUpBREHEQDQzqZxkq8ssQ8RBxBGIq 7p0BiIW4ixJsiTJkoglEUvSLEnziPVT/hAbqufqg0zQT/l56GNJPwXrKaqBpRt4LhTw1ft5H8fSDI2CQT/DcJBkCYzHXDz0NvpgjIVtJGRx2o3ztV4/8PiAhze4KdxFBDAiTBARSNZTkGVIrHo3rBdjSURBliJ9FBGiiM ZZhSjSR0H27NiKgSQFEc0HGH/I5vLWN7dgEDE 3ul2YIR7Jh6svvdnjGf/qM/gOM7n8wUCAb/fz3Ef8PpHCPE8Xz1WW6EMw3zxi1884y0BAJ///OerTFZxJ0ny/esSPas5IxEiWQ6xPMUHaKenzks43Vgd5DAP43X5WIefxzmWpmk/pOsJugGn6wnWT/IM8lF0dY4tDxmaYmiKQfS5GaJpRDPkbBMdUQyCDA0ZGjIsybIk y IsTzI8zvI46yMZnqLZc7zEh2qIZjCa9TDMjDjaw9EYR2McTXA0 wSPEI8Qjmkc0j1iOommGpFiMYj0U56I455xo1kWznmpqNOuhWR fNOiHncftol4/HOJ5kWZpmGYrmKMRRJEMTNIPRrItjnAHKXo/qmsm6BujkKJJiaIqhabp6/jtE0 zMxDqGJVkWMjRDk9WsnhFFchRJel2424W5nLjbhXCMRZCnKY5h GZZHrA9RHEFAr9uDuZxejwvDPBiBuzCc4oO0r8Hl4dxeH0OHIY qQMEFSYdLHkgE3rK9DATvkSZLxMVwry7SwdANLBTkY4MkGPxbh 8QgDG2jKR1MBGoWqYlCAQT4OsdzMvVdFc4hlKJ7xBR0YVud0UR yLIRynMC/uqm/yV1/0M /9arWHLPqjPoOm6WrsWnWeJEm Xx8NQgjHcZZlCYKgaZogCIIgIIRn2pZVLJcvX16lvBrEzgW77z Zq9sHQM6o PxohRLMMxSBEQxIRjJ/lgixf78coiCMKQoggwRAEhxMcDpmZfTFYSLIkZEgEIcIgciPkh pCA52YERBiEBImI6pFEkESQhBSOKBwxOGJwyOKQxRCLI4aE1Dm m/yEaIiFNQoaADEEwJMaQ3lm5GdLNkF6GxBiCYAiCJiFDUDQJaRJ DyI2QHVE2RJlnZaWRjYbOGSE7jWw0ZUaUDacwHFEQUjRBcTjFY 5DHIIdDmiQQxBDEEPRypNuHu4OY04e7ISRwBHFEVRvoEFIz7fd ZQQhJBElE4BRBIgIi7D0VCHK8j6YZcubTEwonSI/b63BgLg/EIEXOrIJHoQDHBgM SCEPhATPMaEG2hdi/I2srxknGwg8QZJxkvKTDA4ZO0nbCOglCMjQfpryIYRIEocEDbE A7YlTWAwSQRIyJJzdUwFSiIQIVkMobCaWIiiaYKo1kPWHSJb21 4dIBhI0TvGQpLwMDymWoFiCZkiaRjOVvNqQeJ/XetXdMQwDISRJkqZnfOz7cQQh9Pl8EMJq51C1b/bqq6 ewbLayly5cmU4HI5Go83NzZFIJBqNxt/LYkI8IogRIRkRkrF4VWI8lozHxXA42tYWEYREIpFKpzsi0XhbJ Nza3NIVT86Pi/PEeEcinkrGk6l4IpVMJNPJRGcy0ZkSO1OJdHsi3p5sa081tqea U8l48lwslRSrSibFVKL6u3QymU4mOhLJjkSyM5HsTCS6ZpTsTC bT55T h2qpRLpd7GwXutrFznYxnUokU0kxmYonU7FkKpZIxxKpuJAWhV Q6nuoQkp2JZGdKnDm5PSG2J2PtyUh7MtaeiLcnku1iukPo6BA6 OsRkhyh2JGIdiVh7It4hil3x5PxYemEsvTDa0RXr7Ih3JcUFQn JBNLUgkl4QTS0QkguS4qJEoiue6oi2p PptJBKJ5LpZDKdSqTbxXR7IjkrMZWsPsrY3NN8t8LRSDQeE5OJ dEd7e2dHMp2Ki7G2eLhZbI0kw8m00NmR7EonOoVYKtIWD7el08 m4GGsKNzeGm8NCJC7GYrFYuDWWjC9KxhcmxHgi0ZYUmpNCOBEV E9FUKp5MCdFEsl5M YVkSBDD8fi8eHx IpkW0qKQjidmizGViqRSkXcWVEe70NUuLEiJC qb2 pbmxMdybDQ1hZvmbc43Rqpb43Ux8SWmNgWF8LxeJUFMR5LVqv6 e6MRi4miKIpiLBaLx OpVCqdTovie59cPT dTofDYUEQBEEQRTEcDt90000zWFZbmStXrozH44lEIhqNJpPJd Dr93mnFxYhQVTIWF8/GsqtzYTQcSyU6ouHY/K7F4XA0lWpPi4mOcHxeW7Q9Ek7EwnEhHBHDYTEaEcRYPBmPpYR YMhGLJ2LhRLwpIdQnhAYhHn6/O3lPE LRM4rFhVhciIlCTDxTjrHUO/SuYo0J8Zjw3q hD9uEmJiIphKR9kQ0lYgmhVg1b9GYEI7NllVYjLYmxNaE2Comw 0IqHu0Uop1CNCXERCEWr951IiomosmZpGZTS0TFZDSejEbTkWh 7ON4Rjs9rEzvakulwKhFpj8U6w/GuFmF szi/RZjfIixsjS8Mx7taxVRYFMOiGBHEWFyMx0UhJiaiYiIWT8TiiV g0EYsmYmEhHhbibXEhHItXK0Ny9ihWj4lkWkilxUQqHBfawtHW aExIiMnOVGJeIpqKhKMtkXBzItrWKcQ6RLE9IYpCLJ1OCol4TA in2sVkKi4KkXQqkYgmxYggRtvEWGsi2pqMRtOxdDrWLkSiYqxZ TATEtE9M ePJxmhMaIuJMSEaEcMxsS0mtsWFlrjQIswp3paIVYsrKUTbE5F OIdq YOHicDzWGmsT0vHWSOPCJfOaWgPt84TZFP5ULKPRqCiKgiBUXV oqlUokEuHw 1ZmQRDa29urWCYSiVQq1dbWdsMNN8yOW157PQC1K1asSCaT0Wg 0kUjEY5GEGBeFmCjEhLMsLiRmJApxISEIgvABR0GMC8kZVVOLx cVYXBTiYvWchCAkxLggCjFRiFQlvPOiH2jVfJ6ts/5YzXBqTkI8JcZTYrx6aUGMC4JQrWgRoVrNxVhcFMS4MHtOQowL f6B3lIn4hzq3zMeFZCyRiiWSsUQylpjL2GxqMxBUNVN0Zz0FQY hVVc2wGE IMzc4p5n8J cUq56WEOKpuJCKirMS0nEhHRdSM8/3nffyh4Uwe93qw4oLiWpRCzO5qh6F9zzGxVhcnM32zBv0D0r1H YnP3MI7Tk7M/VIQw4LYKohhQYzM5kSYS//dql6oWs5iPPUHpf0 /3WmOs1V7P 6VR1p1REmEomqsz3TE3uuWP53Zeu/y/4olmdV4tl6U62v78QyEk1EBDEiCpEqAHMVVxASyVgi adhGRWF6H8Cy1nNVThhtn7PVeK4OBumCLGZC50B9WwyhTM5n9N H75H9zYT/VVi 3zl/IpaCGJmt6H8mLIV3OaL3sne8vP80z5w4S3 zj6J9AJbLV1z3vwrLd/mQWFyMzDWZ57CcOfPDx/JPs3cEVP 5gPlv9pGyD/KWK1YAAM7GsnrGXzrbH5K9B5aiUAUyEhdnWph/Tiz/eOv0XS3bM1Hu /jDP9I0 pt9hOwDsKz 9L8Gy6rnnOkLqTbekvFIMj6DZbXrdsa1fvhYzv1X9IOxTPyBPg DLuS7zv5H5kbQPwPK6a5fXAHDtimuqWIqJVDQmCGLyrMBPEM6K Ff yN/Nu 4NOnT8Is9/dGxQVz2AZFYW4GGuPRdpjkWoLMxWLpWKxuJConvZnwDKSSEQSi UjiDJnv0YUz6 TFeKqan/frIjqLybAohEUh/DcsP5r2AVjesGIOSzEajVexjCWSM33lQmJmwOB/EJZRMZWMJcS4EEkI0USsMxLpjESiiUgkGWmPxtqjsaiYaEv bBsS86QeXY3/RyWVSDjQjoupIV4OhUTqu OWThnBifOYDnjJ8Oi2Po3LD y9gFYrlzxBcM7sQzHE9FEOhJPienOcCTW2TWvPhia19mejEeES GtHe6q5uTmZTFbHQBsbGxctWhSJRARBaGlp6erqikajCxYsqE5 L HPcXiLVHI51LTov2NjSNX/h/AWLOI5rb29vamoSRbGzIz2/qzPW1tzWVL900fy2thahvT3U1Lp04XnzOzobY FkZ6qzpXVBLBZLx9pSkfZIdGEy1RqNCV3zWqNCPC4u7lrUXN8w r6Ozq3Nec2OTEIsnEom2trbq1f/rWLYl3wPL6kh6PBqLRGL1oeaFi86PiZ1CckFba3xeMt0lxIWWp s5EIi0mYpGoICTERCouJKrOv4qlKISTQqsotv4Ny4 mfSCWnzcCcP3yzyeTYiQWjSfb2 LJaKI92bngm7fevnrNunA0smTJokQsfMvNX960bs32bd233HJL fX29IAjz5s37yle 0t3dvWzZsmQy2dHRIQhCJBJ5/vnnu7q6BEGIRqMf6r3FhUTXovMOPH9k0dILE 3zLvnk5W/942/efvvt3// 92 //fbvf///7r7rDlGItDQEH33kod/8 pdvv/0f//7228MTJ9PxZJD3Xfq5q3739n 8/e /e/tf/ 2nv/rpF25aEfYHu2JCLJVqSgjzFy/t7Ox6at/Ty5aeHwoEY5FoUkx0pNurs6BmMvBfxFJItCVSbYlUJFGFShBmZ 1aEgv6uznnNza1LzlvmD7W2RtufOzywbNknE61tndHWjmi4U4g lo1ExLiST6Ug0HhUTUbHqM6sphJNCa1Jo/QgGOH8z4QOxvHHF1e/GMpzobI6luhaf//pPf37zN77e1tbyhc9e du3fnnx YuvvOLyX/7yl edd141xV/96ld33HFHQ0ND1YeEw EtW7Zs27YtmUx2dnY2Nzd/qPcWFxKtUeFbt33vmYMvRMTUxZ 49JU3fnz BcuamprC4fDXb/7qP7z5s2VLF999 22nJkZWfO6qcKS5NSHe 8BDP3759SULFl501ad tYv/i7VcXGq/dPXXPmb3/3Lp867YEEkLnZ0NCSFREfXww//sHvz1sXzF4QCwaSYSCdT8Wisra2ts7NzJgP/ZSwj4hkshZmoO5KMR6KRtng8LojJmPj/t3ftwXEUZ35t7GAj2V7rYWlXu7OzO7vz7tdMz3u1u5K8lrCFDM Eytt5erR/CIZyJjyK5UNwfUAfEcOfAXYqCHOHCQUhICCE8UsVxIcUldgzYY AjYhBjzyJmEgONLwQGBvT9aWpuKMaiwz45rfzWlGq1aM929/fu r3u bUtAgs6hb 7aus3v3WXA3RPFdoN3YGKAVTTwJZlKaoOCAVkatJxmJZajZanJ j6BlmtHVh1JSzhFS14CVnth3YUXHfjd62ef3f3T/3joxn/8moV1Wcrccsst27dv7 7u3r17980335zNZjOZDKU0kUh0dna /vrrvu LopjL5URRPKFtQ9hQISG2/ jPf5ntKJY3bNz xK4gm9Mh0BR1SbFr/4t7fdv85X89etmXLvYoNg2YQZB4gamiRFts2UD/u5UPek2nz/Jozn7i V3ntncQLhXLpJ3uxYg6b755MJfNq6JEDdOxbKDpUAfV9GJ8nGi pEwoIReQwJ4C9W58AAA1wSURBVE2kZwNPEIQgm2uKxJ1CN8oWF 8TVXc/tGzivt11PtWPJ0jM2AQRDSqkOEMuhYysCzOVSpNVoecri09KSm kQHqEpLN1 Etifr6N4f/bhS eCZpx4vBI6S5gPfBQDs2LHj4Ycf3r59u23bAADf923bhhBu2rT pkUcesSyLzS0hPLFjAmEjo0Ld9H72ix1XXXv90r7znnz62UJHl 0FNy6TXbbl2/4t7J9aWfvfaftdEFEgYaRLByPEcaOa94LzS0Eu/f22Fl3NiydJFa5/e96uRs/tMTuhYtjSGtPIXvvjYYz83sIl14Dku1AHQ9MDz2ZL1ZAU My2rdMIYEwxNpFOkm0jHCOi6Tt0grZGM4fMkUIKzv3PvQ9ddeX kHSvp6gqp8u42RJmOMDdMCVXqzBCYM2XVqtDw18clB7OdCofGR gSlaOjKyWBC7sJXLdhRXDwy9tO/FjetKWQvZBCiyaFlWf39/pVIBAORyOYwxhBAAQCm98cYbb7vtNsuyPM9TFKU6BztBQNiQAW lfvPRv/vbL3/r3u1asGnzn/Q8/rFTe/ DP7/3vuy/sfX5saHX/eX2/fm53sZBtt/HFX5w49Of3361UXn7uRZ/aQV/PoQ/eqbz9fuUPh96uvHvNv1znCrKXkhOKbHR3/v3V195//4Ou7REAbWoZmBCETWKoqnq85pZ4KpMeI0oQNhGjpUaRhjQVIYS pg70cp1sx6OMl51 59Rs//M43uwzeV9uoHCt4BCgihNB0fIAtnVgAW2wBmSBMITQR/JiEvhpOMj6BlutHLvhLWqqmD52c39GtIvOtg4d 8tADB17Zd86SgpKKOTaFEPb29u7Zs6e3tzeRSHieZxiGoiiKot x000333XdfMpm0bVuWZUrpCW0bwoZOrEVx4ZZv3/WD x7sXz30ix1PBtmc5diDqweefmrnlquv2ri /MzOHZ6he4auqRnFMovnLN/3zN4Vfee6y4pvvPPHHgUt1Ujf6vN 9dtfDy5e2o3tmJgBi3NXbrn 9 /R5FUVZRsatnUMomhKWoqlfI8b7ICn5mW1ZxyRkuKdBtqFGmOae i6ji03jUzRyYt 8UxOv/amf/3x3bd24lgB84bYmnch1ESMMabO0Wg5 XizhlMQn3bJh9GyuuSjEgcY9o8e MkTT 6SpczW667d88wu10QEQ8dxBgYGdu/eHQSB53npdNqyLMdxFEXZunXrnXfe6XkeQuhETywxxggbogq8X Oc113/93 783rkrLtj30svFJT3s1hvWr31m91NCIrb32acu 9LFmphyHRM69jmf73/9pdeQoo1ctOGVN/57dMnSgqRBFz 556mLhse6MAW2lUD6lq03fu 795iEEoSpYWqKahLDc1xN06rm5jO 2HVEnoBxhLecDGIppcCwBIAEbOvtRQ77W75x83e/fVMA412OAsW2wIEIKqZpQkTYy1lT8bBB0OGsgxpOQXzSA5LxNT NCoTVjI w9TlnRAMQsqeALF138P396 /zzzxcEwSBo99O7rv6Hq4rFIsdxq1atevnllw3DQAixoM4wDNu2 JyYmHn/8cfakBCGkaRr5eBiGwepHKWVv6 u6fozyRwW1HFUDj/7ssa9efsX5K1Y //zzHR0diqKw hw8eHBJsWvjhRv2v/Sb8dIYIWRJ97IPPqzseW6v57irhgbfePP3fUsWm5r8 f6 Pxx6o6ez0zNNRdUzmnbZly//6X8 puvQ933LsmRZzmaznufxPG/bdvXFc0KIaZqUUgghpXT67TUJMScLYFJNrstkMrZtW7YrSDI0L Mtvz6jw7h/ee/lXL vKuUDNOCaGQMEY r4PIcTEZMdHroan2501/P/BMAy2CkMIgRCapskUfCaV70Kh0Pj4OMaYUsoSA0zTtG371ltv3 bBhA8dxGONisdjT03P77bczfo Ojj744IMrVqzo7OwEALC5JcY4n8 / uqrhUKBhbVsQeiocBwnnU4zAguCcODAAd fXE2ZFjRNc113586dhUJhcHBw//79pmkGQcBuvW3btksvvVSSpK985StvvfVWpVLZ95tXrrn6uhde eLFYLPb39x848NtK5f1K5b133/vT12 4HgANAA0hYlmOQexDf3y7vT2fyWQQQmw CSHUNM33fVVVTdOUZdl1XVEUAQAHDx5keRTHpb2FQoHlRbD33B VFgRA yzy5cvV1VVlmXLsnRd13WdUirL8nT7rYaTCwghWxBVVZU5MAjh 8PDwVE7slL46AIDJHLDSAABCiCRJjuNACFVV5XnedV1Ga4wxcy CiKEqS5LquqqqO44iiuGXLlq1bt7Lzqlv4S7DRzKJf3/e3bdvW2dlpGMZ05XAghJs3b96 fbuiKOzBqW3bmUxGVdUgCAzDkGW5u7tbkiRFUWzbtS1fVaDnBY IgBEHA85ymSymBs2zSFmtBCHieI0kKQkSRwZav/dMNN/wzpVQURdM00 m0pmmmaVZ/sgoHQWCa5s6dOzs6Oo5XexFCEEJRFD3PAwAIgnDFFVfcc889lF JJkgzDCIKA Wo20Z1uv9VwcmHbk3kphBDHcdhIOOJ9yykNPEZLMLX07zgOx3G 5XM6yrEKhIElSLpdjVjmbzWKMOY5jrEMIua6LEGpvb/d933XdO 64o1AoVBN9jgpd1zVNY1aApewZhpFOp6drdSzLuv/ zs6OgqFAiEkHo8TQrLZLCGEOcyqdQAABEGAEUXQlGWVUqooyuL FnVwievbSomWTzq4chDpLQkyl0p7bbtvu3Xf/oKenh7VR13Xbtj3PY8E2q60kSSymBQAwTZfj0l7P8yRJIoQsW7 aM4zjHcR544IG vj5d15mjJoQw68Pi5 n2Ww0nF2zAVB9hsA8HBwc/4i3XrVtX1QVigRP77jHGsixnMhkIoWEYbCQxgSDDMFzXdRxH13 VZliVJYpMuBsMwmLP9uMCaUuo4DhvikiRVHzlMN0APggBCmEql WOURQl1dXYIgEEKSySTz6ixx13Xd1tZWaroImr6fJYSkUinTJI YJNV1SNVGSBV1XBSHZ0dG1ZEmPpiKESD7fkclkAAAs3tA0TZIk 1gO 7 u67rpuOp2mlNq2fYz6T7e9YEp8MBwOFwqFfD7P7sJMLLOvzDow o1DDXxeYih07dxyHnR W2GK0HB8fl2WZWWI2fWLZ3qZpdnZ2skUd3/cFQfB9nxDC5lqKomCMbdtmgRkL7YIgSCaT2WxWFMVsNnsM3TdG dUVREELZbJYN62OUPypEUXRd1/M827Z5nvd9PxKJsLsvX75c0zRZlllEzWbIPJ9aurRXFGUAQD6f F8V0EHgQqZIs5PJ d3cxGo0mk0mMjQQn H42k8lomsZYVOVVEAQs14fpDjJTx1z08WpvPp8XRZFFHyzswRj run5khgaLfBBCx1BYq HUBLOq7HuklLLF0Q0bNnxEnWB4eDgej3McF4vFeJ5va2tLJpNM jH3WrFmSJDU0NDQ2Nsbj8ebm5oULF0ajUSZN29TU1NLSUv0kHA 7PnDlTFMVIJDJ79myO4z5OvpYpSTP9aU3TQqFQKpVqbGw8pgb5 UZBIJMLhcCKRqK vj0Qi8 bNMwyjoaEhEolEo9H6 vp4PC4IAjuZO3cux/GzZn0umRSSyeTcuXM1TWloCLe1RVpamhctajrrrLMEQZBledGi ReFwQ1tbPJVKMRnsBQsWNDc3x2Kx6j4T9fX1giA0NTWJotjS0h IKhaLR6PFqL6tJXV1dIpFYuHBhXV2dpmnhcLgq9dva2spxXFtb G6tMDX9diEajzc3NTPE5Fos1NDTEYrHD8s3Mbw4PD1d12iORSG Nj48KFC1tbW9n/M8q1tLSwv0ajUZ7n6 rqeJ5nXI1EImzcs4ESiUTC4XAymTzGiGHX5Hm qampuvcY036fFpqamnieZ1uspNNpjuPq6 vZ1g7z589PJpPMcLS0tHAcx7qAnSxYsIDn YaGhng83tzcmEgkGhsbGa/mzJmTTqdbW1sbGxtbW1vr6uqSyWQ6nWa8amlpYZtMsJ5l3cXaw hTvj1d7mQngOI6ZgwULFkSjUXbrxsZGtjUi43kymZxuv9VwctH a2sq QYZwOByPxw vxDJveeGFF7KBwgZuOBw xuazpymin1ykhhqOE5qbm1k0GolEYrHYnDlzEonE vXrzzjjjKGhodDExMSMGTMuuOCCWCw2b968M888MxaLybJ8sq3 JiUPL1K4SVbR99Diy2HS3Kqqhhk8FFtCxcJLneRYK9fX1zZgxY 3x8PDQyMjJ//vyVK1dOTExs2rSpXC6Pjo6uXLly7LTFyNiaobGxkalfS2Oj5cl jrDQ2VjpcbPKooYbjj9HR0XK5PDg4ODIyMjExMTIyMjg4uHnz5 lAoNDAwEFq9evXs2bNDR2DmzJkzZswIncY43LiZodDMUGjWEcf MjxQ7rbuhhpOLKstmzZpV/bCpqWnVqlWhjRs3Dg4ODg0NXXLJJcPDw8PDw Vyec2aNaXTE2Ol0lhpfGTypFQulcqlNetKa9aX1qwvrVlXKpUP lxwfKY2PnMzK1nD6YmxsbO3atePj42NjY VyuVwuMy/a29u7bt26/wNyl/ORW/VhZwAAAABJRU5ErkJgggA=
El de TIFF:
https://www.canonistas.com/foros/image/png;base64,iVBORw0KGgoAAAANSUhEUgAAATIAAACtCAIAAAC 842SwAAAgAElEQVR4nOy9aXRU17Xvu6RqVX3tZnV7197Vt6pOp aYklaQq9Q0SAmwDAkTnNk5ynMSJfXKT2I57Y/pegFAD2Bh3YIxpTGMQkgDbcXxyc7p37jsj5977xnj3jnPeuO/b/fDG 7BAYMc4sQOWies/1tAolXZVzdqqX8255pxrbbBs2bKlS5euXr165cqVixYtevjhh 7776BgYHlN9GKFStuvL1y5cpVq1atWrVqZVFFfYe1YsUKhgO7v Xz58sHBwcHBwZtxtGrVqnvvvXdwcHDZsmWrV69esWIFw7C/v/ xxx4Dy5YtM5vNGo0G3CC9Xl96E4GiiirqJiopKSkpKbkZO5/jSKvVskfN0KfRaHieX7ZsGRgcHNRqtXPmzFmxYsWDDz64ZMmSe 6558EHH1xxE62 iVYVVdR3WJ LKP kBgYGZm6vWrVq6dKlS5cufeihhwAAy5YtA0uXLi0pKXnwwQd7e 3tbWloaGxsbGhoab676 vr6 np2TNMNyhVV1HdYzc3Nzc3NhUIhn883NTV9CUFMdXV1 Xw n88XCgXGXWtr6 LFixmM4P777wcArFy5srKysrq6urOzs7e3l73AF6qpqYk9V6FQ mLEjn883F1XUd1gtLS0tLS3NN4DD7rwZR4VCobW1deaxjY2NXV 1dq1ev1mq1y5cvBytXrgQA3H///R0dHU1NTcwZ1tbWNtxE7OVbW1tbW1tbWlry TxzsPmiivoOK5fL1dfX19XV1dXV5XK5xsbGfD5fKBRuxlE n5/BLZfLVVdX5/P5pUuXarXaRYsWgYGBAZ1Ot2zZso6ODvbUHR0dCxYsuNm3Aotd medlXw/sBWb3pBRV1Oyqvb29ra1txmEy19XW1vYl3rW5ubmpqamtra2rq 6u5ubm7u/vee /V6/WDg4Ng6dKlDodj/vz5zKt2dXXlcjm/35 6iRKJRDqdrqqqqquru3EWOtunpaiiZlmNjY21tbVVVVUVFRXpd DqVSrGfX6hkMplMJlOpVH19fUtLS0NDQ2tr69KlSwEAg4ODYOX KlSUlJYODg8wTsqg3mUwODAwMDAy4XK5sNnvXXXctWLAAQphOp 5csWbJo0SKbzdbc3MycdVdXV21tbS6Xy fzNTU1bW1t XyeEZ7NZlncXFlZOX/ /Gw229HRwb4tenp6qqur6 rqstnsvHnzUqnU3LlzC4VCW1tbT08Pe2B7ezvz3rW1tc3NzR0d HYVCoaamhn0RzKSd5s6dm0wmOzs7WQjR3t7ODGhra2OHtbW1sd v19fWz/K8r6q9UuVxuzpw5 Xw FoulUqmqqqp0Op3JZLLZbEVFRTKZzOVyqqpGIpF4PF5ZWZlMJj OZTCKRYICwJ1mxYgVL9NwUy4ULF95zzz0IIZ/P98ADDwwMDFBKM5nM4ODgvHnzYrFY/lpwzOa1ra2tLFdUU1OTzWZTqVTLNbW3tzc1NaXT6ZaWlqampqq qKvaQmpqawcHBTCZTW1s7f/589h1TUVHB8rrd3d21tbWVlZW5XI4RzsjPX0svsTCAoV5XV8fe 3rx587q6ulh8X1tby45h7p3BOVv/tqL usUmlsxhxmKxWCyWTCaj0Wg0GvV6vdXV1eXl5XV1dW1tbdFoNB wOf00sFUWBEEqS5PV6w EwxtjlcpWXl3McZ7FYJElKJpNsRpvP59vb29PpNHtsTU3N4sWL 2RS2tbW1qqqKMcZoYU4sn8/X1dWxLC6b0DI/3t3d3dnZyWhnvrGrq6u6upqlmtgTdnd3s/dQKBSYM2S4MjhzuVxFRQU7IJ1ONzc3z507lz2wp6enqqrqG/5vFfUdUV1d3Zw5c2pra8PhcGVlZSaTmTNnzrp167q7u8vLyxOJ RDKZDAQCDQ0Na9asmTNnztfEMplMhsPhTCbT1NQUi8V8Pl8ika irq6upqWEuuKOjo6enh1Vgqqur29ra2tvbe3p6 vr6tm7d2tfXx qZy5cvHx4eLhQK7e3tNTU13d3dsVisq6urtbW1o6Ojpqamvr6 u7t7JofEIt7Ozs76 vpCodDd3c3C7nw n81ma2pqWltbq6ur2fFses0wZhNoVv ZO3duf39/Q0MDi65ra2vz XxHR8ds/t K qtWd3d3NpvN5/O5XE6SpFQq9dJLL3366adjY2NNTU21tbV v7 pqengwYOffPLJli1bviaWS5cuXblyJcY4Eomw1j5RFKPR6IIFC bNmycIQj6fZ96pu7ub5WNZJN3R0bF3796Ojo7q6mqWj9q1a9eq Vat27drV0tLCpo5VVVVsSjkyMsK8aHt7ezwen4ldWZzMnjaXy1 VWVnZ1dXV3dzc1NbEDOjo6Ghsbc7lce3t7b28v 75gCeHOzs5UKlVdXd3c3MzyY62trdlstrq6mk07iyrqliudTrN 0KfvsxWKx3t7eAwcOTExMvP3224lEoqOj49VXX71y5cr4 DhD7OtguWDBAjafrKio6O/vX7p0KQtcWf8dhHDOnDkshuzs7Mxms8yh9fT0LFmyZP/ /V1dXcyzDQ4Ojo2NJRKJrq4uVrHp7OxsaWnp7u7u7 /funUrC0rb29s7OztZfMuIrampaW5uzmQynZ2dd911V3l5eWdnZ y6XY4z19vYyD1lXV1dRUdHS0tLX19fX15dMJrPZbE9PD8tI1dT UMKuYq2SRcFFF3XK1trZWVlaynGIsFgsGg8xPvP7665988smRI 0cOHz588eLFd955p6Ojw PxfE0sJUmilCqKkk6nnU4nux0KhQRBUFVVr9czCxobG9va2mYq pO3t7X19fevWrevr62toaMhms319fS 99NIjjzyya9eu/v7 n/zkJyMjI8ePH//xj3 8du3aCxcubNmyZf78 V1dXRs3bnzjjTd27949MDCQTCbvv// sbGx119/fXh4eP369Q8//PD /fu3bNmycePGF1988eDBg7t37z5 /Pijjz66cOHCHTt2bN68eWhoaMOGDU888cTRo0e/973v9fT0PPTQQ3v37j148ODIyMjjjz9enFsWdZtUKBR6e3uz2W wkEslms5lMJhAIVFRUVFVVjY2NnT9//u///u937NjR0NBQV1cXiUS JpbpdDqRSCQSCZbtZbczmUwqlYrH41VVVTNFzpmqA3uG3t7eQ4 cOHTp06NixY4cOHTp8 PChQ4fuvvvujRs3Ll68eHx8fOHChf39/fv373/ooYeee 45NkHdvn37I488UigUnn7muUd/ tiCu 7ZuHHjfffd197WsnjRPbuGdixbOrB3ePfPfvqT/v7 ioqK9o6uTGX1kiVLNm1c 8PvPfDawf3z5/U 9OD9r7yyf8mSJf3z5 3evbuhoSGbre7v78vV165auez5p5 c1z nkC WWIu69aqvr29vby8UCqlUKhaLZTIZViNpaWk5ePDgxx9/fPHixbfeeiufzzNH iewXLZsGQBg fLlra2trH2HPfXAwMCSJUs V7esqKhYtmzZwMCAw FoaWm5sW5ZW1vLaoMDAwPbt29nkWpDQ0NPT8/4 Ph99923ZcuWu e2hoaNu2bU888cRdd93V2to6Ojra2dnZ0dExPj7e3Nyca2iad8/Ayxu3/uBHj760Zu2cnq7WfMPc7va9OzY9sGJgdPeOeb3dlZn0wkUDW3b seuPIsdcOvbFn27pHv79yx8bn5/W2Lrxr7patG7p6Ort65 wdHalvqBtYcs uoa1vH9p/9I3xQ M75rTVtzTlZvXfV9Rfpxg 1dXVVVVVNTU1zI01Nja 8sorH3zwwblz515//fXLly //vrr Xw GAyyol0qlWITN1aVWL58 VUsBwcHAQArVqxgz8teg9UtFy5c Lm6ZWVl5eLFi/v6 srLy1nxsKGhgaVA2VdFVVUVc4xtbW2smDkwMLB169Z77rlndHS 0srKSdfatX7/ 8OHD999//5YtW5YsWbJ06dLt27e3tra2tLZ39d zbc/4gkVLx/cdmD9vbjaTXHZP/6t7dyy7q3fL2uf7ezraWpsPvHJw b0PZuryg6tWj 3c8MNVd 3a HxfR8M9C/qG9w51dHXOv fuF9e vPq e3cObX3kB/c312dWL l/Y3TzvI6GIpZF3Q6xFvGGhobKyspgMBgIBO66664dO3b8/ve/Hx0dDQaDra2tw8PDExMTp06damlpicfj6XQ6Ho zYj57kuvecvny5SUlJQxL1jSTz eTyaQsy4IgEELcbncwGGQ1zGg06nQ6Z qWDEvW18dcZV1d3erVq3fu3Nnb2zvTgrNv37577713eHiYTQLv v// vr6TZs2/fjHP16/fn1jY2MmkxkeHv7Vr35VV9/w C fennzzqbWzrXrNjz8vQe7WvP3DS7asvb579 3fP/wjnvm9dbXZcfG9z/w/UeqG1pW33v/q6M7H15599DGF3o6Gu/q7x0a2tFUyPffdffukdGFixetWfPi9x5Y1dnSsGJh35tj2 a01BWxLOp2qL6 nsWiLBmbzWaffvrpP/zhD/v3729qaurq6vJ6vblc7sSJE0eOHNm8eTMLYm K5YoVK0pLS1esWMFiXFZsZHXLUCiUyWQaGxtZpwKrW bz bq6ulQqxQqPM43z7IH5fH7ZsmXPPPMMwzKXy/X29m7evPnhhx9es2ZNR0fHk08 OTw8fObMmY0bN ZyuZ07d546daq/v3/evHk7dux4863Du0b2zV 4JJGuXja44t2jR46 /cbr 0YPju2 d9nC53/9q76u9rbW5u//4G Gx/aPvfLGK6 tnvr h89sGzjC08tWtC7bPE9a9as6ZnTd/figc3bd/TM6XvqqafeOvTqyXffOjiy88DuTd2FIpZF3RbNMMki2Hg8vmDB gpdffjmXy1VVVfl8PsZRe3v7xo0b58yZk8lkqqurGUczWF4PYl esWFFSUrJ8 XLmgtkRqVRqcHBw9erVlNJYLMY2KUEIlZeXL1y4cMGCBYIgNDY 2ZrPZ vr6OXPmMFfZ2tra0NBQX1/f39/PrGxpaent7Z0zZ048Hp8/fz7L2bJqZ3V1NSuiJJNJ1rWXSCR6 /qr65sqaurnzL2rri7X2tySSZb/4L5V47u33d3XObe7vSFb1dneUVVV0zlnbmfvgtq6xt625tbaTF 9bvq4q3VCb7e3tra3L1dQ3tnb2VNfU1tXVFRpydVXpjsba R2FtlxNS1Mx5VPUrReLGZmrTCQSrP OtbhRSsvLy PxeCgUampqymazgUAgnU5XVlYmEgmWKGVPwlZZXg9iWSaWYdnc 3FxRUTF//vzFixdjjFkTOZtbxuPxRYsWDQ4OiqLY19fHOmw6Ozurq6uz2Sx b2FJVVcW2L2CvVFFRwXpiU6kUa1KdN28ea9Npb2/v6Ohoa2urra1lVcpcQ1N7z9yuvvmV2fonnnjq2NF3j779xsiu7 cvu6W sSddXV7Q3NzXU5 bM6cvmmnKFttq6xqa6mu5CrjVX215obCk0Nzbm29q7Gwqtqcqa Ob3zOju7e3vmtDblugqNuUyiq9BYzMQWdTtUX1/f2dlZKBRYX3d1dXVlZWVVVVUmk0mn0zU1NRUVFfF4PBKJhMPh vr68vLyVCoVjUbz Xwul2PcrV69 jMpn2XLls00uDK0XC6XLMtutzuTyfA8z25HIhFRFFVVNRqNM8k e9iWRzWYLhQJLwLL2GuYYOzo6WK61ra1tpqecPaqxsbG6upo12 XV2dnZ1ddXnGiuz9R1z jM1dT09vQ31uWxlen5vV3uhoas139Pe3NfdkU6mCoWWbK6pobk 9X2hrz c7843NDXVthXyhqbmutjHXUMg1NHd09uYaCulUVWOuqauttaO5 qbG6sqWxvohlUbdDrH 7UCjMFBGj0SgrlmSz2WAwGI/HWcM6W1DCKijMWzLuCoXCqlWrPlMgWbp0aT6fb2hoYOlT1mjOm gSamppYdMr6xRmErNumra2NrbqcSfmwGSY7MpfLMdRZTyBbNTL TxVpbWzvT15rP59ka7faOrpaO7ni6cm7//PqGXEdbe1NjrqUp15Kv72otVKUTdbU18 f319bWN7e01TUWmlvautrac9XVhYZcY66hqanQ2tJZnyu0tfcU mjtyDc093XMbG/MN9bnGutq zs6m2tpCccF2UbdBzOMxgjo7O/P5fH19fVtbGys6sta0XC7X2dnJVpmwwLW6uvrGVu3PZGIBAA8 CCrhzJsZnETkKZ889VRyBea8oV8YyHfWMjnWprYjcZ8vjE/c0y uaUpz0ahqTnf1Jpvam3Kt80Mdk h6cbDZuudFVXUdTGfxJZhNDc3t7W1VVdXs9B15cqVV7fYeuCBB 6qqqhju Xx pt3nm1e 0MIG 7W50PS5ceNhhUJLc77QnC8051ua8y2FfFsh35YvsNGeL7QV8m2 FQgv7a2u 0JyfrbdVVFGfEfOWtbW1bHUx6 5mG1KuXLkSsFnmokWLJElyuVyEEJfLJUkSukOE4dWBEEKIXB9Q syv6MbDiipqlqUoitvtZrhhjN1ut9frHRgYuIolA3TJkiUYY1E UnU6nKIocx9E7WPIf/SyqqG XRFHEGHMcByG02WwQQpfLtWTJkuut6izlw44mhKiqylp8ZkWiw IkCd M9vABnxueOFD57pCAI1 658WdRRX3rRCllYanb7YYQUkrdbvf1TOzixYsBAAMDAwghURQF QSCECIIgzZJkicgSufEeKrlmxueOlCQiSRKV2R3k pDRZ35lzyPPHFlUUbMsQRAYcS6Xi M4nucxxteD2Pvuu0 n0913332KohBCEEKUUkEQ4CwJQQHBz7y6CPHM NyREAoQCiK6OiAUIOIQ5BB0IsghyEHEQcTNHCCiWXtfRRV1ozD GDDePx8Nmm5IkXc/EzizsIoSIoiiKoiRJEMLZirkliiWKb7yHUHlmfO5ISjGlmEhXB 6WYSlCi1weV4I0HEAnTWyGJUInIM4NSSiSMZIhkSKRb8gpF/ZWLMSkIgqqqEEKG5WcWdmk0msHBQfYHhBD WuI4jhBCCJEkyW63ezweURQppV/v2f4CwT8af5ZuZj9BFGOKMUYEIgIxhgRhCVJFcCmCKosuCcqIY EHiHYrd6bKL9M99xVurb835/5q60 3HGFssFlmWFUVBCDEnJ0nSzQ6GELIMDqWUeUtCyPWe2FuFJSHE 6/XKsizLssPhcLvdgiB83Tc4C7qZ/QQxMhmWAsNSFmWVV1VeVQSVYcnJvEOxOhS7SGfnXf 1nv87RcFgkPWoSpIkiiIhhIF3s O/ISzdbncikWBZXI7jFEVhk9qv za/ad3M/hksMb6O5TVv6VIElyzKGGORCpzs5GQnIrPjLf9az/9s2/XnKpvNslwOxpjlbyCErCb5hfrTWJaWlv7lWHo8npqaGkVRKKXs a0MUxTvotN7MfoIoQZiweJgILDAmCMuQyqLMBkGYQStSYbaw/Gs9/7Nt15 rQqHAkqYQQgbbXxrE3hIsZVlmS8tY2pdSytJNd4puZj9B DqW1wZhPhNhCdKrA2EJUjJ7n6K/1vN/p6hQKLBc6UxaldUab3b8NxTEQgjz TxLLmGM2WT9S8z6tulm9ksISwgTDGfIRERgAxMBE4FgKEOqCLI iuBRBvhbxflvsnxVjvobudPsbGxsxxgxFSqksyyyUvZm ISx5nm9ra2MeXJIklgL ek81K7qZ/RKCEoJXsSQCIoJIeUF2ci4757ILshMRQUJY5V1ep8fNqRKcHSz/Ws//naKmpiaMMfPzTDzPf0km ZvDsquri0UgbIbAKjNf811 47qZ/QRfxZL5SUHinS6nTbVa3Sar22RTLZzLTjBUeVfA4fM5fCwD9O2 xf1aM Rq60 1vbm5mgM18p7AZ8s2O/4awxBizIARfi0DuoHPK9MX2I1FxSQgKCIkcciIPBjbAxzl9QNf 3gx5LxGSgWm/I7dDbQs5gHJXPFpY3tf/O0R1t/4zxrEDCkj1f8haKWP65 iL7IUaiLBGRFzDGHBakiOyMCvWDDdpkac/fdgMPKFWBQ7Z5ZLdqcbtNahHLr6072v4ilrdLX4glpViWKYSQS NQiOuwe3pbkOn/aDRKg8MuCtr4UBIHJXebxuT0OL9aRIpZfW3e0/bcey1tSIMF3 GnFN7GfUkwIQggpXo N8FqpDAQ1tT9uADFQ8Yt07EcREAHOlMMsWsJyVLEWveXX1x1tf xHL26Uvtp8iAfK8KKgBH 8mBp8VlOtq/jYH2kHimXjtmhpQDgwpPXCWBJSgTwxKsIjl19QdbX8xiL1d mP7EcGyIokEOzkBK7KZ8hqfBaQ1lb oo4/KyQ3JwNMBUAFADJR5zEikHtFXxPJr6462v4jl7dIXYkllgmWJR 1hwyTpoAW4DSILY46nE pTnJY/nOTeoA4aCwRazc7zo4pXZaif4Qvtny5Kvpzva/iKWt0RsudbVlV IYET5pnwzFKKIryRiVhQyghhCyGO38JhIgkpgUDZLjrKADVTp4 09kglvL9U8aUsMx0AJ89wW0EQOvihhjQRI4mWfNseRad95MUx5 bHTazQOzWNuvdUef/CzR79tObjK gIpZ/kQjCBFGMXBjJiPKI8ohgkUJRMaer63jH3RXR9XH/2qrUSxzf43SkoNHjUwJGt0OjGqlXNBF9SUpf/nSVbTO07rbgrVaQB8lfVoCERkjwJslo8pttYTvv4UQquKlM7Qh bRQ92EYQRgYIkCBIvUgETQUJQhvAWknlHnP8v0SzZTzGSv3h8n s8vW75bxPIv0jUsVYxkRJ2IOkVCBQqxx5Jt6pLRTzOhwzH3G5X lBwS4WuBawzAPbQGgQKA6ApGomTOBEEi kOVHXOYDFudWjXeDWPFiFsQBUIA9adLEdbWDOYvfIro45HT6oJ pUI7KTSAgjInAyz8lOQeIxEWQIFbGI5XV9C7B03fDzRjKZilje NhEMb/CWDEtZoBSpXGPLwpDn2UzgWEx9pyrxlqr VKUDtYFVTmONPdQEaKw81eUgbhAG8RcrLNsh2AlKXgLpA37/0yFQCUAGNP2wDsRA/xMLgAQ4t93psCg8SvvjfJmTICxSyMlXQ9xrWN7KOPaOOP9foln DcmYwDj/jJ//caLZYIPmLxNZksVPPglgRuwSi2pDQ0LwqEdyc8p2IqidqksfLo 2tjwZ81lf9SLFsQqntUK81NZR7kvTUgURp8NsTtkY1jNnHE4Fx Tip6SQQcANaD1qUYQB/m/bQUqMPvKkIvnbFYfVbFdIIiKBHOywMmCSAWMoSLiIpY3albtp1/0s4jlNyRIsEAwvI4lEUSsCthv4ZT6hh9UREYS7tMx9WxF9FQyv isVfakpvtlW mB5doj3P5msetEg5UEM J5VDOud5nFefZ0zrAHe7QHxlzJIgIpn46AWJH9WaW91ADcQfA4 BOWRM3FTBmIoECxQKFLL9fhSRKuKtXKJ5J5z/L9Ps2Q9v8nNGfxrRYhD7l4hhKbCNsxARRApF7OFQ1CGk6 p nokeLHefK/dMxbyny0P7E6HtjeVjevBTT/CAO3GwvGYUwFaQBJ6XacmLZt1uu2YLsA VkCE5NpoGGRDfFAatoPypVOKRFPACgAB0i5QghbgwpiKhAsUCx SLBGFNZlG/t sw74fx/mWbJ/s9uyHZtA4rPziSLWN5eQYJ5ggWCMMYUESgSKiIfB5Mc31RV8XQ 69Ga5OpkO/DbgOhf2vxEPH6gK7se2zR7vcU/8tFp5SJNcAfodygaBjLnF1ySwGdjHdaXrDLYtCNwNuJd50AF8L 4Qrn82a28yAAMHr5EXH1W Bq2RSkVCMZFl0yaKriOWMZg3LayvaMREw4T/z61Uyb5h5/inji1h DUEJ8xLmybUvQpHIIvJzYqXd3pOIrin3vV3unq6M/oPfdSHsfy9ZfjjqGcvEjsbiH HQeVviFenuZ l/qhQ32o1b7OYRh34UWF/VG/fYtFtsjj28ZYsNdAP4kiv2QrLisUpdQuvwWU12oyK7MKYIyyKh IqEIy0Us/1iz7C2vY8lfh/PqX69heXMyi1j JYKQtxHopAQRQjCmApIF6ONhbTr581RkZzxwPOa9FPX JuK7EgmejYaOhLxjsfAbXv EKz3taDo8d88F/EKjc7tgGeKMw2bdKNCMAd1es36PQz9sM 6xGXc6nJuJ56VA4hcpbaVWr2gd2Hp1v1kkIyyLRGZYStAlwWIQ e12zYv/M5pEQCrILI8zzgo3Qa26ziOU3IigTQSYCJSLGGEFJQAqPfJxQn 44/kwjviwdORP2TEd VkP9KKHg EjpekX47HDoYjk3i9HlQs6vr0HT67YftIx7TLodx2FA6BkrGS0 tHyzR7rVfHHrNlB69s8CSfSYIU0Hk1DmpnxVLyeSzlIpY3ajbs p6JAKFEQYtu6UkJFQXRIMrzqMz DpauI5W0SVCiSiYAgByFEUBKxKpIAJzamYuvjoTdigRNR//mIfzoUmA4FJkKhE5nKd1zKnlj5eSH1Hqh5MffOVN30OrA9bNzN GfdqS8e0YFxbOmrQjJSVjphLR8xgxGjcY6VbXOk1aRABxqCWVx wIChKUJehiDhNhijG9YQfaW6M74fx/mWYJS1kifgQVUSCyrFBKIeIkGc0 lt dAgnBkEIeC05R4CCEBCuI iANOIWmVHRbPHg0FjweCZ4OBc8HgxPB4EQwfCpS/haR98biZ1Dtu2DxcPLEZGRiN9hQrdsD9SOlJWMGMGbQjGp1I3r NSFnJaBk4oNOOmoStKLEuDoLAGCyFip2IgizKEnQRJCNMEaboN mwf9e0//1 uWbAfySLvlkkUQx/PUUpUSmWERElGXzS3LGJ5e0QwxIITC04EBYwxwYqIPRxUrY76R HRXLHg8GjoWCR0PhU4FQ2eDoXPB0Gl/6Igv9FY4fprk33OvuxQ /zF/8lVwYHXJsKQbBWDMDMbM pFS4wjQ7zWUjhrAQQgaKrUAACAASURBVF3JmN6 lYusCYME0PuBKFllCBVBZhcswZgicv2KJrfw3X37z/ XazawdIlcwEVSWAxzDgVBhRIFQkjItwDL704QSxCmUJSxqFBCq Yyg4hRcDsFlddQnIntjgVPR0NFQ5EgwcswfOeEPn/WHz/qDJyKx992B9xz1b1a//W/y U9MJ96HF7aBvYpuFIBRa8mo1TgCTHtB2bBeM6oHh7RgrNS2zeF 7wWvq0BoCJU5U5sFEFWRFkNl2lYhAkV7bbPbWkfntP/9frlnBEvFRjysroYTT5kGilxIPQmzHPVhM XxDYli6CFYlSogk8JJTcEHJQ SORGQ0FjgdDR0JRd8KRo/4o8f8kVP 8NlA4INQ6ILb856han/Fu/9mPf1h2Zm/o1cOg2G/ZgyAUVvJiK1sBFiHgWWPVj iBQdLwAjghjj/i57I/T5zRGPjtF5C3bysXsdSECkvUh5RvojljGYDS1XG6aCnoErVvD2 IxaBMAxixhexFLL8pEYQRL0gIK5RgSDhOEcSoy9MYiDwUCx KBM6HwseC0beD0beDkaPB8IlI4Fw8MB31TwQiZ4y5g/F3/8Xw/pR1 p dk C3TWavQ4wwpWMWvWjwLQXOHYB0zAABwDYC4S9nGetknuyxpzQl jm1XqK4eZcqyARDBqRIebbk8qvZj6GMBLcgBDnBxwsEw5nr9iG Cmwp5iK ef4IwhUi61Us6b6tu0eeHYXNtgoBkDD0Yeq7diT/zV hRaV3EP0dRG xCWCQBSQlIWJUhVpBTRs5rbScYYUqQTIpY3g4RRGWkyMjlIpAg 7JITVkt1purJaPmuYOi0L3jJGznni54IRo5FQsdigVNpz7kMOV/hveBPnja0vep7/UPjqeOOjz 2XTwMdi0H2zOacQkMl4K9wLhPZ9sG F1Atx AvcAxYsbrhIpnUiAOHC5eElWF98iiLEi8U7E6FSuivMq73JznK 20yIiPBbTfGjPo5VtjOU8jbHC7B4/EgESOXqybfJBJKZQkhRKHohVjhBOlb90 4qW7F54di4oKIOAWzgGySJIm8R7Snva56jDEmTub3EBHYOlsE/dSZq0ytMopVRilqcXugWxWsYkjAIUEfFIwypAipAsUihRKUv6T 9o4jlXyLKivgyFjEkEklarS2p1JZw E1faNId sgdmfRGzgYjx6PB4wn/qUr3uZbgxwn3GZh8G S3Jt7/ne3C 9oLp8wX37a9/SIYmgfGVDCuBa8Y9K U2bcD10ipcRyAvcA6ZhI2OuPPx0ESWBWBQI/C yQoO11Om9vkUC2I8l6nz fwf6Wd8hTIp5CjhbM95FRXCG6/6OBk3q26oIAEl1ydL4iESpKLQuQSRC/ELv47h6Uke7DsErEVEpvL5cJiWBbaEqF5GMmY2lksenXlEMEIB qmjuTL5gE1uAjRS5nM73ZLkpCEHLOc0EV6nCLKIfE4ZCxRKUFa EIpa3RZSKMhEowQIUKYQJnutJJDaFw2/6g5Pe0Efe8LQvfC4UOhENnkj4Tqc95zKeix7vcbn7JGh Pnj2t45LF8CFU ap4/LkGNi3DIwEwKgBvKrT7C8t2wLQqM6wD4BhYB0z8ZucsRfiIAWs Kk gqvAeCcqcfB1LN f5qliqIl9JHL2Q/5ng b7TXWWzS4KNEpETnFCWaxsaMSRuJCscVATRRTCEd9KVW28Jlgj LRKICsgjIgggWuJAidlfFBzFSMeGvVaeueksshmV7a038e67AA sDHLB6vQ8Y 4vXZxAivCwp6CcoC9tyA5U3bP4oFkr9IEpQxjwiGCKmimJakhf HyTdHwW8HghD/wkT84HQyeD4VORYMn4v7TCd85v3zalTrZ8sK/gYd2Oo9/YLp0vuzDad3Fk/JHbxuOPgreqAXjdjBeotlfot8ObHt0un2lYBhYxk3OTc7oizGQ Bma3EyOXwnsk6OJkp0O1OJWrWHqdX22nPFXk0w7DXaLjV5znca ury yI2S0KckLME4Ia6 pdAvGKss8BVR4hidopvB0F0tukW4KlIBJMCSQ2EVtFJDjtfonv q4rfj8UgIpj1ctyIpcvWkY09Eo3fW rI2NSgDaOwO6ZY aBg9EIjQVQgqlOGgiRIkBaxvF1yEYpESIiESEAQsoHgA/HyLbHI25HARMh/JeS/FApMRIKno8FTcf/paOBsOD7lyB6de/h/wQPnLOc ABOnrb/9BJw7xX34ruPSBsvF5eCgAkZA2eu6sr0mwx6TblwPhoFlzOzY7 Iy8FAEVwOSxMyxl0TUztxQpr/Kqm/tqWHoFZ5VVtxI6X Q9z5ld95nFgtUegHZFgW6Rb6vKup3Qz5OADasc4RS5TMbCrewj ur26JViKkEqyIqtQUngiYd4Zkvm7MuV/g4Q0QirCrqtYEgERiMWwy9qTjT6WSf3UJrQ6XRErFKPeuGQTva JFRRaEKUddnARFKsjfMJbfpSAWyxKBgkiogmjcwdUnEj8rj26P R45E/eejvitR36WofzIaOBsNnooGTvvDp5XMBMiMxvb9xjN52fGbaXD xrOWjT3UXJ3UXj9k/HuN/8zh4LQZ2A9Mhg2GEK9np0I6bwTAwjZttW zBl8OgEhh8FoRlhqVIr2OpCC6V/2opnwDvbDSAHwiOtXbpZQN rAwuMFoiNoMPWstttrnJSp ND/LEb8cKL9lVxeCinHTHcHmrvCWVJeoSqEsgEnRyIeIcSIcfE/l6EQVFrCKCb8AySm1zqsO/rEw parLOBKzCyjoLqcOoiC7hO0ioRyVOVlApIjlbRSUKBQEARKvSC qs9uaKzNPR0I545EjMfy7mvRTzXor5JqOBc5Hg6VDolBo7ZUkc syw6jsZPOqdOmj ZLLk0aZr8rWnyNyUT7 svvWK 8mtwsA4MaY37dCW7EBii2jE72FNats9s3Wr1rfODaqANmERCZU FVBBciAueyMyxl0aUI6ldqi4047R0A/NxmWWcS12q454zCaq0xowdxu6FOb1oaSYWsDi8PVQeiomRVVYN L o5hiQURIYJFbBexXaSCk49K/P2Z6LOCs12AcYGoIp25cDBEYhTb zORX1fE1iRjPxVgnBewRwoR3kWwgKhToJiTsCDxiPIypLJYxPK 2CFIicBwnwICA6oyWrkzVy6HgrvLw4bj/bNw7HfdcivmmI4HzwdBpX/QESR7TVx8t7Pl/whc/1k4cApdO6T66rDt7xXD2StmVKyVTb svrgev94FhsWzcWTrkMYxGNGMc2KMx7DObtpvdG9ygFmiCek6C sqAqgooxZJesFST yxPuX6i43X43AM brZvM3AaDc7MVP2a0dehBq9XYC/Tf88bLy6xuQSC8KGDJrqoWWRZufuXTb5tuyeeHSi7JRSHhBOpA CkSkwkcfq0sPCfb5glAtYI8gCSK9uluvCKNObn4s nwytCVb8QLkU6KIZOLHooIIFqnASZCToCg5MeElSL9kxU8Ry79 EkGBeUdxOLiTiNqe4NJZYH4uNJ6LvVkUnQvRswjNdWf5bl3w8X jUtl79rSbxmaDtWPfx/Kecv2P7uPXDphPHDy5bzH9kv/Nb28d Bowf5T14DexaAveGSXcR2oBZsDYJhsXTMpN9vtgzb5Y1K4qmkJ qZ3yoIsulReJQiLlGdYEkS/KpYpm/1xO7/JYNlocW60ONfrbU9oy1YYNAs1JY8axcdpOF1mchMeyphXXVZEq OpDX3Eb4lnUrfr8QCwSWeSJHbpEO5 oLN cDu8VHasqMsuhKyRIgkN0Yop4keNQVCfMjWQ2xctHa1IbXLRW5 AUCVZFXRCILFAsUChKPqB0TniBKoKvYTnDrRTCUCafIqsUacfC dZseqQHRTJLI/GTuW9J JSu Xq5PJyBUsHfOkzuL0EXfvOdB2KDn r/DMWe3lw2DqPcOHF42nJ61nr1imPtFPnBc Pua4sEY5v7JkTzJ4eqlxtKZkmIC9ZWBEp99pQptJ TPxkoTGqXIMy2u7xToZll91vWXGYn/SzG/XWtabrGutto1l1jVG688t5r81257XCr8WPDVajVu02yTOokqCS FXqmcWLL3xV3UosJcgRp6DwNj6Vie1KBQ/ZjA/GE/dCJYK9BMpUUhVMBMFVDoTuQMserAxF/Gt4RxJyTlX2ud1RgaicREUqIOrE1E4wf3UL2SKWt1wEQ4o4Cas 2W4VIFjnQjwOxPcHgq WRY3HfyQr/ aR3KhG5Qn3v09RJWHe0 Zf/DXSNJF//Azo3pbt4rPTyactvp43nzjsuXNaevOi8/JHu7BH3794KfvIi2Fwfn/qRdndWN YBIxawV1s6ZBC2osjzEZACNtUui7KbU2VIMREEtoMzxl VmUqz/TkrHNJY1pSVvWA2bDAat5RZNtgcm238lhLnS1YpD0CAMxupzaR iIlC/oLAu3DtCt jzAyEWiYSvYZmuiO5L I8j5y TqUcEOSKqkCcIUsLxNrMUhu0/u e5f/bXvFed3U9RNeRtGEpIdAvYIxAXIgIhdolYGZYIqcWFXbdeBEOR s1LkFWBTMPoTd3htecXrvuChkP dmO 9quhkufdCLDKtlH8gVBx3NB1esPt/g 5N0cP/Ss59Ypg4p7t8zvTpRd359x3Tl3UnLwhXfguOveO8ckyc2g62L4 hM/RxszRjGg5oxB9hfphsz8zuh/1k/SACr2yqLstfpUa61xQoSjwj8M/cgnVGl2f68De3SWteUlT1v0q/XabZotdt0xh068y5gW2dCfQBUizazbDF5kMITv43K3z0sEWJYc oLqtPKZVORQwns 5B2qqPqFFfnsxOaAAsKUF xl7rCu/Yf9W//NHn8rlX0F40oKrRKkoiCLyC9ilWBeIhYZWyXMIyyLWL3ZpKCI5 dcXwRDzDgoDEHYm0r8OJ3aXV77jDb4ZDr4b8bxbEfrAJ73vC16 QUh YKw6X5l6ZM/q/wLw18pt/D9//ven8h2DyffDxSXDhqOnSeduFy/DK7/QXpgyTZ42Tb2hPvBz6 AWwM1uyxwv22ksOmIyv2PldovKMAhLA6rNJ8PNYil 91p x2J 0wW06y7oy09oy3WadZntJ6S5QOgRKd5aWbTA5VwNNn4REl83qg 15IvWZREW/PqbwNuiWfH/IZLO1WPpMKH4l7rsTDB9OZJ8s4j1NyENWlur2YCKZQTLPoseY9/xVEXvOkxziYlLFFoYQiN4J hDwSdirYpGCLhHmBuDjyDWL5HQpiEVYwlsUQ5 wOxZ7xRoZDyaNq4K3y Olo4L10 KxXPukLnycV58pqDoPCvvzI/w0eGcFHfi e C/85P8BLp4CH70HPjymu3LGePaC5YMPjZc BVOXwaUL3N8dUz98GezIgiEVDFnAmEG73 TcxcnPyiAJbH6rBOlVLFnWR YFCkWCvxKZKZv9cSu/QWfaYDRtLjPsMhj2arTjQDMCSreX6jeYbT/TmO5VFEW22j18EFGvmf OYQkJhgjzRKLXsKxKhY7F3Z8mQofTmecsoh95Bep2YyLZ7Cbg8 VXtPNx74n X5c8qmQNOFKdI76IigS4Egxh6FOR0I6OKLBLmOepyUo9IvrjOX MTy64sg7MGEciGHvScUfd4b3uePvaf4344nzsTDJ1PRM0Hv6WB 8Uqw4Y6h/B3S/Ujv2Xx3DE TEP3JH/0Au/w8weRr83THw 5Pgw Pa99/Xvz8Fzl8BH/4OXPqN5qPT/NRLYEet5bU02OsEw5qSMYNzmFNecoEUMPvMDEuVd0kzWF7N1H8 F xM2 4 c4ssGy0a9eYe bFirH9foDpRqxrSaLXrdeqv1aa31Zy6PRzTYXbYwpX47lG/l/ge3V7ccS95tMwtVydDJmPv3seCxiso1dhyBXoHD2GbnHU6zraK i/rXTiQN/AI3v2yJDVjFKoMYtiQpRsRgmok Fdi80uqFFwjxHVIdUxPLPE7q6BwdzOzfbDJsJEiSrDh xVjkd90QrtvrSb/pSpyXPO5HI6bD/WCh8XA69CytPgspXQWEE3LU79Mo/eM7 A3/2PxsO/2d4 b BD06B35wo/f1ZcPGo9dK049LH4MyE/vf/BK78BkwctV/eCvbNpef6jQcDYLdRN6yHo4JvrQqSoEw1ESx4eerlXIrg4iRoU wSnLAiScPUKYphiTNnFMDG 6kIJhqoouEXeK/A wRlxOnNG02O8uMZo3aw17SjRDwPtXlCyuxTs1JVsKtNstlrWlZ p/RVx W4kdmYKK7BHJd2wFydUgllKZxwLvZkHsW3H3J0HPiXh6qwlX8G 7oEJ1OJKqJUPS ldmzF nY74xtEyg6hmitTByUiCIPieiTRFWBvIosbmiSkZMjqoP6ilj aSFM2fW2RIJZ9wbb3pNgSLEkU1WWPJQoCFNMESICFbwBU0PO/0hFZq2S3InTbymZc4HyC5Hw fLIOdFziDQfB 37Qfem8qP/nTt0xT31j9bzl8wTl8wXfmOc Eg3NVV6aaL00oR2esJw8YJpelJ/6ULp5XNlv50wf3oKnN4KRlfBSz8A44mSjWZhp5HssfjWyCAAUE jGkskNrRGb6nX6zS6X1ovNKi9IvAtJ2AYRlhWX1wMVL1JlWeER xBRhhzXJOxJGXS1nrtKCu 32Hzqcz1jt642W7VrTnlLTODDu0ejWmTUvWkvW6cAeq2VrqfFX Dj5p1UgKL0BRdt00c/gt1C35/EAICaLIgSWiOKidlyqSoW3lntMB32QwcUiHW2yKS/FAM7EAL/a/8KQ0cVp841N709mo/zXs6PIokVJ9GZKubk2ICMaEV5FJxlaOeBzUL2LXlxtfxBIjTAU ic1QWKBYkga2jYxf/QSLGUMLIRbBCqExlCcmQihG/eW6d/7l09W4pPSqmDkupDwKBC1HvBb/6XrzxfN/z/w66t/he/yff1L/q3rtgnJg0Tk7op87rpyb1U5P6yUszwzA9Zbw0oZ8 q516z/Txceun74EL 8HhJ/iPfgEO1Oq38XiPBY a3WspCJVyKsSyzo2MUavH64iWKR6NlzpcPCa8lyiUlxBVZZfHy 8lepyQjCSNRpTDA2eYF/O0W04BKugB4zOF83u5cY7ZsMph2ak3DJaZxYBzS6p 3aZ5xlKzVgj1lhu1A96TFXmnRyrLDAQWouL9r7QQIEYpdMudSq ZsjHE/SqciLSd 74dBH/vixUrFXB12YWstkI6iIJMZ32adP0vd z9WejNFXxLJ5LlJhF7DkldinSCCySLCCGZaqg/qL3vJP60uwZLEMFCWCFSqpVHIhiUJUTqx3J8Ivx6rHXKlXpfi7 3si5cnWiwj0RUY6Hq0 sGPr/QMMzDdP/L3f847IzU6bpaf3UH2N5RT95yTA1XXZ5Sj99rvTie/pLxy2fHDd8eLjk/Fbn5V BfbVgSDSOmg1jeu5lHiQ1ZWKZTHU 0RSxedyOqMnlK1NlGQk XvBgFyYuTnZh2eV1Ep9F8PIwJEk hyVls3wvkVhks/6NX50HwNN2xzqLbX2ZabPB IVY7jLotgPdE2ZLvV3vIjYn5ASX/F1b2IWgJFNVFmVFVu0YOVBlMvRSKnAkGr4SSh4z0UVG6IPYbFZ MoCbRcOQ12/lj7lP/ZK0 GpFfk2zLCJfBsgvKDnahGpFQRKCC7DK2c1R2UlUkxQLJn9KNWF 4LYgWGpUwlgiiCEsEKoaqIXTyiTjFlcyzxhDf4MweU Ju yKlY4EKVMlnvnaxPTDi8I31r/yeYv1l963faN8/aJy9br1zST53XT53XT03opyb1k1PXsLyin7xkvDRtmL5QOnFKO/Ve2YenTB8fN18a56efAntrwW4Cxs1gXGPZ6Cxrs5uwQaY6n2gJ ODwSHy1TfGaXy8fDiANKIuIkaqNYJDjEoajZGedhk89bXmZotp geDYQftjsep/h AF42mLboyjYbjFv1xiHNdSxftGqet5es14OdupIdGsOTFmsbb/IgqwCdguu2bEh7m3RLsISiJBO3DLEiu6xQsgt1ieCaVODtUGAi knyPBL/PK5VUdlpUM0iFa998lb9wzHPyH43Vb2ei76X8PyfOrOSiDkEjI UGC7OxBVRQUKAgUO2V2tbUvM76IJUYEX7sGFsMSzmDpkmSGJSU qxl4eqiL2CK5GM/2BFN/jTb/pCR8tD5zLeC7WSxMNvouZxBk vq9/6D/AQ3ulI7 xnb3kuHRFe HMzbDUXbxsnL5ivDStm/xAO3laf mU4fJJ6/RB1 U1YLgJjLrBATt4RefcA70PBLmIVaI6N7QqvEdAYa3bZ1JcQSct t0EkQl7BFknARKgQSWWZo8bqnOcLtJaZlzn5n4vSswJ 0mZ7xqjfXqof0ZVt1xm36Yy7S00jwDQKjENa/RqL7gVbyRYT2KYDOw2mpy22 cgZEs0E81D jmGJZJFXKHIT6JQkYhY9Vr4lEVyb9L0R8p2JxN/xxX5B1AIlglkxgaiv5tCr8vT7rnc Lql rTJzOlexiTrzLoWIpJRhSTCUEFQFWREpy58j8sWp7WIQe103Yn nt8wcJhgRDjEQoIAQlQjwi8nGiX1KSnujdYvgZpeINf Jo0Hc847mQdU1kydkqzxno3mdreKV97H Aeb UTn/qmLxsm76oOX/qS7A0TH1onL5kmJ7STX6gnTyjnTxtvXjIPbUR7CiAYT8Yt4F9g NvLp55IWFN6UdHI2IqRaqNBjcdTproCThq1Yxkj6qE85dyEbyG uFoO9oC1bJrkWGs0/cvJPGe2bHfBZnXab3TIMNPtLDUNa/U6tcU paQSYRoBxSKtfZ9KtsWi2mbVbtSW7TeZnLNYVEkw6y1yYQ/JXq4vOrm4JllDwEKhC3kQkaBWjDtifCm1K g5FA6cj4bcDkWd41M7zvFG1glio4egR18RJ4dXzoO4VNXY4Fds omJsJFWRFLyEoi7KEBBlCN dRBFWU7ILLgsgX78NSxPK6EMEiwSLBbI8WlnW8AUuRYBelXl70 27mA4q4tzzzkTe0MVpyMhE7EXCfr1Ml6ZbJCfj8UPu5pPQladp WP/wu47xn76WnDB ds0xdMU eMU e AMuLHxkmPzZMfWiY tAwdVk/NambvKC9eM528bDnwhawqblkKFiyxwZ2AcdQWfyFMCgHNk8Jkq wCka2yR tRy1RZFWjQid1Q8CmYQmsCcgtl791GRx/Q/FAk95Zof24wrdNZtulMazUl2wyaUQDGQclujW5IYxwuMY0A03C JaafWuL5Mv86s2WbWbiwFu8zmZ02W71FSYzb6oOPWbg99u3VLs CQogJHKC3okiw5SLUjLM7GhdOCN8uDJcPDNcGgtz891OiWDB4J YpP7YUXL6GH1ryrH0jJB6w tfI1q7oOiQZa2EsCy6FMirInQ7gwrvQ5JFUPSI8l9ufBFLjK ReQOWlCBMMJQoJoRIspvIAQfvN9lCktKUqnw0ktoXi5 JqicS EROvVgfmIyFTpKqd7rX/QeYty104g OU7 xT18xTH7guDJhvPD zbAsm/7EMPmx7uJl/eQVw9Rl/eSUYXrKPn1cmdoNtvYY9iTNewTdTsDtLIlsVEAcGIJAlKwYY5H IDpkKFLsFHHIKfrstBp0Bm7HOaf HHjIyK8Aml9y G8A HWJbq F2wk0O0z6TSXggLZ0DIA9Gt2QVj9cYhwuMe0pNe3UGjcZ9RvKN DtM vUADJlMzxnLfoJwk04b4qwYcd81LGUSJdjN8Rrsgg5XHqnfq0m MVgTfjgeORwJvlkd3ILScFyIGvxeEYunDR6Szx2Pn/778hf Tth1zl29Q6QAhiGANQbIkqgpyugXB7YgqXBBTi jSIer8cuOLWGKMZy7mQTGSydWBCYaSjAhBIsREDji4EJHrnVxj Ov2fAr7h2tRUnBxLisdS Hht qIz/Jq25fXa/f/ufecPjjO/11/8SDc1qZ8 Z548a548 8VYTl7RX/xIf/Gja mfKyxJWzZ9wjyxA4wvLtkRd wWS9YA194S9zZb a9VbRggYvaLXMDOeW32JJFqqFpeZi0QGi0BC6OhVq32PyHPMzb 6pNH5vMW5xmTbZDDt1hj3aHRbjSVbjWCkFIyXgD0azW7NVSyHN KbtOuNWg36zUbNZV7LNoNlZZlxvsj5qss0rsyTsFhd0kO8Yloj 3S9iDJSNPuTLUGK96rty/pyLwTrn/vbD/rfLwCITfd3C1Wn8aBOLJYyekc TY5dq9/ 7qft1ml5ntna7FB/CJoxUAlUVzmAZLmL55wte3ZSFYQldBLoIogRDQgVMRRFiJAWtz iiS8nZnayr5BMVbGzLTSflYffCDTOiUL/kuSO4B7dv9h/ 748w/aic/AZenSi6f102fM188Z754zjjD5FUsb0zGfm5c0k f1n40Wnrmx443WvGoS91bGhoFhqdB8mWk9wOvYKjnHG0Wrs3k6 ONJH1QLRvuA4m7RaO7ze cD8KxdWm Ea3S29UbbBqNpm844XKrbo9FsNpZsKgO7tWBYU7JbexXLPaWm7 VrTNp1xm16/Ta/bqi/dZtBsN g3lpmfNNhWGi01DrNHsEnojtmT8hZh6ZWwiiWTk4pG1Byrejnq H0sH3stEP4gG3k0n33S7f60tKxjj3WDBSu87x4TTJ2Mf/4tv338B80dR7qUyoVtXJvr9XhH5MPSo0O4WedUZlfkwpnYkGzE pBrF/Wlevrc1WjhOozmCJMIclAWIEacBsL4ek1WbrjsV/3dB0XKIHAvIbEf RaMV7tPloy/b/AEt3cu//S nkp DDS CjCXDlvG76XNnFCfPFCePkNSavYzl1Y1/BjaP08mntP78l/mE7eJqatziEl8Hj/7NgeQ7ktwtON8g69Eucjoct3A 1tp ayQ8dyqCee0Ry31Oi/T7GSwFYa B2aB2bNZZtBvNWvXG7Tjdcqtut1Wwo06wzl2zXlwxpNUNa3ZBW v6fUOKQxbdWbtupN23XGnTrddr1mm0GzTa/bf3kNOQAAIABJREFUbDCtNTh bHK2cLagaJO/S1gSJBNedWEVU6uDEj1qDlevi/heSfrPlAfOBTxHE/G3IuXbgXEB3/RD/5ZXPe fo5OTpqMf I7/W XYv4CaR0zqHMVfZ7FRDodFzLB0KlxQEoKY8Eiy4m8s5XPnFkj CEsPgSpBMsFQEK2IOhHBkAbMtjgi/z979x0lR3Uuin53qOrqrqqurhw7TI9mRqOcA5IQiCAjY4Nxxhw HbGzjgME2GLANGDAo54maUQZJKI8m93SqrtoVunt6kjIg4nU6x z7vrOf73r3rrcf7o0dC9oGzju89x/azT61vzVo902t6/vnN3vvb3/72mjB1T8PMn4fj22oW9SRmnozNOUbNOQDmbb3p1L8IJy9ghQlQ LIKyAco5j5tDbB2DEDMtFFofxPIDw/E7WVA6GBzZAPYsVdvlqdvBjy5OW7gPPGMtnR4Hn6JCj9L0OoJZ 78G3INx6Un0c456IiF8G4CGC/DoA273Ebi/Z7gu1osFmFGlDkN1eX7vftyXk24gjTQGkDZmMDh/a5se2B6oVP1iHD2kN JsDvp1 X5M/2OpnniWFuzl2OheO/f ng/N/BEtFZqNRKSbJdETREOmWhsWbG2qPza416 PpxilD9fXHZsx9mRQf429fu6y7EitYgYGU5E5wmQsLU28gH/tBaOqdAWYeK86LSNM5qSYmUgme0rgamZ8iSdK/kUL7L5bXP4IssbJUZRlX VqVr1GF91kKksjLU8jIXC36SYa5r2b22tgdJ72LDlDLDj/Y h5Y1gpuXLck ztm6KzfKoKyAUpZTzGLWjoGIWI5fquIWM778K75/MCAFmanffoB1dlMtNzw1G8emvcsaL4y5442cOLC7XcnwSMkuY4 imkPBNuDvAPiuoLAhwDyD0w95vT8IBh8FoNWL7/MEO3xoi8/XgiBtiG 3F2n3I1tCyEYcbUawNj/agiAtCNLmR5sRbAtGbMVC7T6s04u2Ib7mgK/J52v1oPt8zBZSvlfgZ3NknP/gSddf4fMfwlJhlaikSZJAyUmfvKp ycb62q5ZSXdqDVw8fziRPDpt3onEzD3Yyu2NR4t0ziQKFlM5C1 JuYqAIbv00iC0K8Kt47SO4MpdWJlmqgiYJNaIYF6X/uhro3/V8IMuoLAmCEJZUhpU4Xq5j CVT6r8kiQ9E521Yvf5tcM8xsLTpjh2/vvPAP4PPb2ePuBFjzOsYoJj1uynMTuOmHjQtr1X22JUPYWl8UE DSTNcYpxdkm1ae uIPnU99eiN4eaKxrRg51l//UA14IURsx5H2kLcDgD3AtxcNbw E15P0UwTxVJh4HsM6kNB T6DDhzR5PM0BX5Vlhw/dEkQ3h7AWf6jdh7UgSDOKtCBoE4ptDBFbgqF2X2i3F23xeVoD/jYE2QXQl0GkJaR8mePmseHE3xdLSeGkmKRJkkLJdV551ZSlG tqe2YkR6Zo1sIFI1r8lbpZJxuWDnhW7NFeLpKGy45MgKEcsIp1 lQr41D1g g1Tlz CUh8JKgvCWlwT6YRAqqIkinFRmCKKtVev2fvQP/6/WEqSJMgyLUusKigq/wcsZZmWVIYWGF6uE WVM2Y9GNO Jy3afPv 34HP7gWf2z v5bXFL70FvvCiMjQeNh3EziFOioADESNFFfSg4QC7ApwRv1XNs l7P0rhaY/BHYQj51JLerqde17/R9/DO8v2fegQMuFNy57SRzKxnFbDNi27HQAsOWnxglw90YNhWBFsf Dr/ARp6JEOvDRLsf3QP8uxC0ulBsQSdZbsWwrVio3Ud0eENVls0ou iOAbcCJzcFQhze014M2A08bhuwKBDoAehRQu1D5qyy3iCX/3lhqLBeTFEnUSLnRo95Ue8P62tq 6cmzCdmaNtWJ1h6PTT8Rn5f23nSy5syruD0MhvL42fNg2MYLfc teaav74gPz73gu0fgdVF2ER6ssCVliRUkThamiMFUS//5OkMiipIqCKgqyqMiiooqCLHG8wnHKZK6VlyVO5XiV5lWKjtKc RmsSGReoOC/EOE3j4iofn2SpRiQtTAlhVklKsVWzF/wwmniaWdp606l/Zg cB/dumtvzbu3xianZS EhC9XziJNFnRQBBygjTRo6ZlrAKQO34rGLfsvBTAszLcSCfht6 Hei3DdQyMGhglo6buUghLeZSsXT/vO6uTW /0zxufG/fw8dHf3R4cE4GqqZLjJ6UnlfBJh/YjIKdIdCMgtaAtzXo2 QD6wLIBop8PhTYTIRaPL5dwLsbC3bgWHW07PQhHT50RwDdEcDa faEOH9aCIE2BSZabg6GtWKjDh 32ojsBaMew9lCwzRvYD/AWlP12hFoZCSU59uqmriSLk3Htue6o6p/pqX46L0uMKjHq5F0MqiiponTLyptEURRlSVQVUZYkQbz D57c9xKF6pslSakWeHGKJMqCKnIJnq1j6To61MDTqqBF Hk /pMNCzoaE32za0qNU5yGBnP69HRdQ78U70Vu7KpPvQvyhVBpGGS HQKVAFAcWZQ43PvPifevtumXPB QVtFKriXRcIEWZ42RNFGsl4e9ytFRFIcrSCYFnSDah1sgkmdDY oBIKx3mWUVSplo7KeAxnaryx QQxC0dinqSA1oV88xShgedrhSgf5kVG1lSZEzAxjtHRQESTwuq yurlPzF1 CszbM/3EW2x6gkuPcZkKky2TBQuDht/Jed2s100jThaxc6ilIxb02hZwHN/oKICQhA5tl0AuS1w4C1wLQJMYHvFlc5RlcvmUfOrQbfmBuw4f3 HXxwsnzFw/khrYc3tFX3thl3TBUjFRGsPFu/AdTwFoZrA2CnSFsE0BbA HmIGjCQVMAbUJDOwKhZgRr96MdPqTdX83r Nr9vg6/r93va0F9Laiv3e9r9/uaUaQpgDajaDOKNiNYC4K1 9F2P7odeFqC2M4Qtjng3xIIbAgTPwj51yCglqMZReNl7dox66t 30QqiLPCKwF/Xu Q/ 45aWZQ0QZFFJRxVggklkFDIqCJJUpyTkqy0evlNoigyqsTGJE4 RFIGP8ZImKKqgVP9fxwQuznNJVohziqrEaVULRlU8JrEKG2WIu RH8ZiZ0Iw7W1HLTlChDLV8wd//MuoGlyf650a4pye6pjdkZCX1eHM6K5okFxxODrwM9jZcssqyDw unwWIbKHK/rGrpj/zuRGzcSwmqVboxxTEyhaFUjJUUQuJgsfNg 8N8yS1ni4lKkRhYFKp5UZ2qUVKNJpBpikrwqT1GkOiqmIjFszT eWggSY/625yGxPQ114pkhIIY/ME2E6pDXEpyyaClgQmRkGNQBEfUCgmWWfB9O/d98L/wJuP5zoeS1oFIOGg5kWakHENhBb9zu560L32wZiwUmZNgSmSeg wUrBBPucdKYFKCbgOMExPNkvZBbG/627HeGZseJuRzb56KeVW0pZ9cqjLPLf3WO6201mm6HjPDfm Wg/ efudW0W0PSzvpxPbQagl5GnGQJsfbfeF2n3YZPjRdj/a7kfa/UjVYTviuRZtiOcayxYEbZt8M9rmR3d4vC1BbDuOrcN8LxLIWjr 4kxD4DArqGZpW32epCYomVEebSZPcn5GlKkpxTlEFhYwqaI3iT yqhuCJJUpKV6mlpzbJJlkxMYVRBEcQ4J8V4RZtkycUELslxdYy QZBVJ1ChFw2qieFLhNa6eJ2 myc/xxGeC4N4oPl3gw6EVsxtPzonCNdH 25WjNzT2NNb0zEu6s6PO4qlFdP7huuybvgpEC0OUm/UY3fhI1m9nNHh2 cnf m7ezKqfr6EXxjheUSK0lgjLcVmg41JElv7 amJFmWNlkpcVnppfI90mR2aqfA3LBmQ1LIiaEmsIsGx4Gnf3T1 Z7bwILf7YIzANYFKhJJiiG2FnR0DxpxleXL3niFrAMzH36ZjDf C5Yn8a/cv2jbCfCZ9Tfv/wX40i4uPXG1KMd6f6Fo51A7h1k5zNIxaGAQBk0raFoodEABBp0 SU3DoguW3IbANYqSCug6wDH/Zwu28dubEC5ffOHLh9VPnJ/omRlL2iD06ki13u5cPnUp/uyezAkJiLAO swi81/OFH3vBOsB24EyTB3RgaGcw2ObH2vyhNn ozY 1 bE2P9rmR69uhPj KFpQX1Pgg1k2 fytGLYjGNiI tbjyIZI8DnC/2Xc30hTnKKIkiKLVZbStZvbq XEnCL9OVkmWSXOKbSqhOKTo6UsKklWqaeVj96wShJkTlHYqMao ksLLMV7ReK3aSEWWuOoF9bWskGAVgVcoRQsmY2RSFhW6ngmuZs IPCNT3ac93opHZIo9Ty tnHV1QY38zoT k9H51LlyknZnf6Ko1 eR8CyzZFzszETByWC7Dlm3UziJuHhh5GZ6f cpbYPkLUv13a8XVUVaVpAitJWmlVuX5OM q4t/fBgmvcCGFDKs1inh3Q/RrMeVjEjdTofCYEKR5jonWhGNRXx2x8LF5NT/Sap5LgNkANIBQA 2fJYAoACtx bE5sztuETbNjWy4AXxCAE/cP tk9 Ls YYz5 r6L0VOl4OFitd2/LaFWBZqQQwaQdMIQh03ddzUCcMgDEgULNxwqoEWHK48RhcsKl9 gSk4gn2Gg5c2kgaujE3YgfXpe1 mDZ99Oly dHi6dtI1ccdQedlPOYTj 0pDZWqw8adlJdwCMHwL/x0uLX ADW9H4FgAO4Gg78O0CWLsvdJXlNZn/Guck0RYEaQqgO/4Vy6rMtgDWjAW2IL5NQWQzFVwXDnyHJmZESHGyVFiprsqusbxW 6P9nY6kJUh2tJFmFl5VwVMFjSkRTVEFJskodraxZdj1LRRJkjd eqjeer5x5VcXISm2AVUVAZLUrWxKmEJHLkVBy5gwh iyZfZLDHxfAijglHFk Z fKyJPx5srhV1Z aVb5d6ZldpzNTh4glad 9A9HTlWAqRegF2i2hFvQ5NsjDcP7slKOXkM 1K/OfS8a IAtxQaQYNckp9XFOqWH4D uN9LfMklGFYA0brpnTMOXR VM3z2h8LCre0kCzjWJQqVEQhafqYyAO5qyfL67n63fXgjsBmAt AIzH7 6vB6lDttmVCyxywUQads8CuVXz62amVtGTY4FA/Bc BwYzPMj2OAxzH41h 20ItWC3lIQyDLBiUDikdUrpF6g5RKE5GFgrOMJbJEplM0nKmFK AyMBQa7ANWv7eSoU4eui T74aXysbZLj2fGinmnaJdNFLwoF4 WoDZ8YnDBeMGK 1777UpF5qYjbXoRkzY7gGHCOwgwPcCssNLXMfyepnX4bxK9N9g uQsJ7EKxZhTdhvi3BZBtOLaZxB7j6Dlhspo1 dcm/yj DI8mSPW0VMdIsqgwqhLRFEZVVEFJsEoto31k2a2SoPKyxmkxRt EEUa0WOUtS9eCecHXAFOKcIgoqo2hkIkbHRI3GZ4f89 DBH9HURhx5EvffSOAyubC ruMmJb1LKx9mjRc1/ZNiz/RYLzc/C1b0TGv6RWPuMmcYlA6DuuUvFAOls8A FzIuNmauzN1ZlFY0x2u/K0h1vESxSlKU6xNsNEnLH9ZJ8G95EsuoEpoQ8fgNM6duXDj9pd lzNsncnQ0RqYEP8DVisFEDFAiuYWKbY76NoPZYDHsaX/izW8ByeuazK8FSwDU3 joSoKNGG/kq6Pi4MLY/UOgBqbTHrgDHJa Mec9ZoASBawHX8k6yhIQBycIkyGsm8UIxaJSJQjGStwTbRfQMm 88u1q3PnH11Vn9q rDjKQ0QxYFlA72byueH0qMT lh3esicKOeMguPqRrkLDg9k88NFt79/8GMjdl2pC1w5LD6hgh8B0EFhrQAc8TAHQLjT80csP0jm1WhB0G ssm9HJb3b40A4fugsJ7EICLQjajKJNAXRHMLAtFPgxyywgiBgv aILwb5v8c7KspyVNUHhZYVSFUxRZVGK8kmC11cv/gCUnaqKkSaImSkr1lh5J5lRRqC44RUGlZTUcVXhVrGOpFWTwfj rygsBvCSFPY95Pk5HF4RuWJlrvYvqPisU Cm4V8v/A98xSTipLhsCyQ0u7/2cif5bMZ2jLDWQtpFAJFC8CeB7kx2P5iZVdr9O37pWn/pTXZrAyychxSaxLMvFa5kO71P8ts RkDZMTQemWafUtsxqOzpyxkyY HifVhEBgSjg4XwVzPLU/mRra7Ec7QXCPN7orOuvZhWAGSD6TBJ8BRJsAdingyPKI9Sg3sp twT4NsX6Dosq9fAnoKlHMgcxqUDFCEHgf6bVhliRuQLFhkoQrS CRpFzCwisOy3yigsMobNO7bfHlIKQ2tODW14/beregY//cs3xOHBRP7005VzZ8qv59PDY2YllRvSnbxhZm07ZxXTVsnO5cc tmD95 utnR 62uqn/d2zZY1PBT8KgkyOagH8vCO0GWKeHaPGHPiAQ7F/HJLkPYtnpD1THzHYk0IKgTQjSFECfpiM3hEJJjovznCZUs4jCp MM/bNVZTcx 2NH7/6inOomtoxVNUESpur0xue7VeO3WFbdKgipKmqDGOFljJZWXNVH SeFlhVIlRBVHmZEnQBEkTFFmKspJKyZIosdOZ8GoS/y4V2cDzm8nAC7j/0Yhwf Tmz0ut9wfP9LBOP6Hvilr/EDmxQjsdX9ANlu Zceq3oUEL6IOE7WAFF7fGvfAcKIyDQgVPZ2edrgRWH2amv8gm5 nAaxclRkU/W0NrfKUteitPyLIr/xPSGvTPqT8ya1kYFP6FF6jWNQzUKTA8tXn8r8yIvHsGChwHYCf g2Zsb6aWAZmN6cJDZgob0KODBddB7hyy3McC/oPiWePYuXS6DvVHDU8ri50LkycA3gQq8DEQuiFsQgxA0LNyzcc IKGg5lFBBa9dhE4ReAWvbaDF/I0zGJGb 3gmbtbD7104Z/uPHTskd/ sj59bNYre09e/IWhn4e54Up5zCnCrJkqOTosZLK5lGG60LpYLldOnHxuYvSHZv/0S4MNX4yBJ1WwLgT24dw gB/18x3eUAuC/XtZIlhTAG36Q5btV2VWx8wOFKtmgJp8/ueoyI0Y1kCztSwbEzhZ4kRZuHZwvLrgrO4H/nlYVlM SfZ9ltUBk5cVSVJuXrlKElRZVGRF42WFleUqWl6WJu ZVDhJEqr3TKpaDSupEUGQWGo2ia8JBh4O4OtIch2JvBD0rSfEp 0M3fy 842HwSndIP NP7Y 59/oPrK7pSiw4Dj6yP37ybTQPA MWyGewgk0VzwFjDDgT3rFzITtT222BOw7hs9bTyXl8NMxKmsDF a2i1llP/HiexkjCFDy ZO 3xOTMONdYeWTSjI z7hCIuEBPxcL0MZoDEhunB5iB6AASPANAEuHY2sZED9wB6A0K0 sqHDs9n0fYK9kbaPkYZO6GWiUCQKFm7quJnDTR2DRrUkYNKkaW GmhZkOCh1P3vCalq9Y9JRLoGgD2wRFC4y4fjsTynULQ6dWpQf3 j7xx1Hq19bW3fvrqucV72x7s6 vNjJYz44VCMevYRrGg2xkH5h3TsEwbmkXTHDWha9m9w8WdZvpu eGLat5eB/ vwnesksNnr2e0J7QFYuw9rRQPtGN6KBvdRzAYADgtysz/wJ7G8Xub7GSA/ nOSui8Wn8MwyTBZI3CSyHIyL2gKK8uipFVzs pVlrzyJ3d5/1Of6r5ldeuyypJWlYg22brq1ltvlRhB5UWFE1RZmVJfF HYal6KUQVaEzhFEOVqqYnGsJISTSqxaJSll0bCXxXFnzPixkBo YwRbh/m2A/JFMH8H29FK5VO4mSGMA4L5LeLobfFXEosPrdz9W/7EBWKkAkqDfkcPmjBoFP2wAkojoOz4i/2xQbh6z3/nbmpB1KmkhHGyRoWF6Yl6JRz586V8/npYytxUjfzI4qkvzp15eGry5aX17RJ6n8itDIsJMs6CJIg212I vB7wvA7APUAc5spmp2cujLwL5pZivsw7snBcdXquNHQvme/BCEdfHyPwIlS9SukUVDKqgE4YRNCcHySpLFFqI5fgtBy2VfeWy d7joqRRBxQFlE5RNUNZ9Tn8ke r2Mvy W oZe2uodPnoq290vHbxh6dOtWctVz8/lh/PmU7KNXMlPQ zlgkdw7ZMCKFtmmXTLENouM4r58eeueR YezEogutC76Jgf1T2XY80BkI7gSe3QSxHoA9ZHg78FRHuS0AfB jL6jy2mvL5o6xPFef1L18kwl JxhZEIg0kMUVgZYnlFIGPqYyqiJImi9ofbmNyvML9Zw Y11rdX2MZjkrhqBQRmFU3r4zSbL0gJiK0Eg4nowrLhGVJEGWhy pJRBV6WJlkyiqzVqFEtQYdXkPiDPL R4rch2CYC3YT6OkG4Dcx/iet8icxlQoUspp k4dpo/ubES/i8lhuO/FZKvxaolMBI1uvmMGjgBkQsC5QcMGx4Sr1yGt7Y U/kii3 2HQuxmo1DRwTbaytU1n677KcgJsewz65qHbL3BmvNCYP3jhlzx z sWnaZwVuGh NgClAbdOwkyGwH4A2wL8yDWzlgntCYBeKvjIXHLgNbPo4P3aYG Uv5zCEUWphRwfUJMjdB5kdIvUgWDNLQCcPADRg0IQYhCi3Esvy 25XEsT8kBJQcUISgaoGSCYQOUC8AdCpb7tPTR59 48vLZ1wYql1Kl8dMjY6dHR05koQHHR zzxcLIkAEnWdp5aJYto2jBvAXz0Cyb5ig0i5bdaxob o5/7gq8/9cD9z6zAPyQAs iYCsKOsKhfUx4mwdsBWAXHtrh87aHgq1YYLKO5/q4yvKayWsyr0X7H8ZaIvw1RV1CkdOIUJ1AKzLHaiKf0BhN5eVJ ljH fZac p/LstoFv7piFCXtOpZCRIzccuMNjRH2BiU6l amYIGpPB1lqgfTBE4RaI1jVIFTpGoZJsdpipqQZbmGJG7Gg9 lmW0E3eYNNAWQnX7/AR 1Byw6Je05QeX1kGF49RRq7qsfnp/oBEs3Tzv9S8Z81WcVvKWM39FRSyfMHGblQDkHKllQSgkZZ/n fwwsX uPzWZUSY42kpQajUY5Nvz3eLBLZmergfvmxnbOnnZ0Zu3h22qP 3tOwa83UR fKy Y2avJNQNjMgP0o6PSAAyJ16AZ07zzwcgK08uD4nd7U4 DYWp91Btj9/pLutw0UOsHCGJ4/R QnCL2CG5AwdLJgEAbEDYhBeM0kcC0AC8AxPa7htXJ O4MXc GSTrtDvN1Vd2L3S1fezo1e7rdKg67bbZlpyy7l3PHCSNGsZArW oGFmXKiXCoZjQqMCzbJlpSwrDY0KNMZMWIR2Kqfv vW7R88ZP4EH7vr90P2XNy37KQeaNM9mFLQGfU0o2AhAZxjb5gU 7EU8zilwXf zzepPX4/wjom1 dB0e/rokLSdC03CsnovIEsuoAncdyxinxTlFEyRZ4jj1z8GSUTRGiYp S9FqKNRIVaI2TZHbNsiXzwuG7YjV3StoyHL Bo6czZJJjVVHgFY75A5ZRQYjJSlwSxCRJ3BoKPkJFmrDwHoC0 9FWD3rQH94LFnZLnV1UTg9C6Cm4wD4cK06vbwdffDk6 DZqTKCGjliZankzaWRxmALlFBhOg6LOpUdWHv5H3/Kf WOLw3ycFqYRVFKOx0XtQ5fff8ssRW5unH9oes3uWdO65iTP3B7 reXD2wNenvHAnd8ua2bHVX1Fq1gmgjQUHGpHTt4Hnp4HtN0jwA XDq07i1nh49FqqkQa4XWCn/sO51s4htYEY5WBjDChOYMYJCB4OT2yG4YWHmdSZdC8BCoGgRRY MoZKhMn5gbiOmp2mz3nMLpZQdaeyvnnEIlZcLssJV1jaJrT6St 8bSTM 1uyxywzVzRsh3DggY0KlWHlpW2CqPQGDMtw3QGy MDXV1br4wfzR3 5siRW3 fuvvhOHhGAGtR0BbydpDIXjrYFvLuItAtADQHfO/HHxL9QJPV7//rn67DiW KwopQYEYQqeNISYpEVDYSVyhV5mVNFbQ4pyVYJcZPsmS0/1yWvKzQapRRorIQrZbvyKLEqRyvsDUSfc i SvQ4JfVxDe0ms/S7CdEfmmEqGdoTRBE X2WoqSJUpSX4pIcE3mhjsTvIPBHw1RrgNgPkH2e4C6A7vET7WB WF996mshkcWh7rVe9YwepfOOCvTUtE4L5DtDLdNElzBxiWSi0K CNNwn5vqReU08Apc6nLyw79wnvjT8N1qxlhNi8tY8QFfG09n1T/fO2b/3omsTw3f1rjC1MbDs2eMbCgNr2KGfrhNOsJcfNX8dVv9 4bcp f ATYK0Kdq/irMfAvs/Ou9CslZtDuRZu9Axq9eIjFtCH0IrlcTKIk0XtLAZh0HAwo4zAi h9WEFgkClaVJQotr33VpAuBpeOuScM8k pVersaBnpnDfTO7zr69bOl7/Wfhu7ZSsY2HDNX0gvFXBHqF7LmeA6mHau77AwMO7miVTYLJb0A zWLBcqGVtWDeKoxCo2La2YLbb5TSOaP34pg UWiqdH9s4pW5j8wDP6kBbRrYAMBLIrkWgJ0oWAdAZxhtwbzNAc 8Hyry2gXkN5LWorjnfL2RH0XU48V1RWhUKzg75GzhSlCIRlaVi MqXKvBRVhehfhqUcr350nFNivCDJnCrRdRx577w5q73Itzntcb nmu4x4v8jdHArMoOjqezj1D1gKckKUNJkXGqnwXRT5eITahYYO AP8BD7ELYJ3 YDOYfobZ2YWnBknL8DtvgNH9gVTNoj1zB/4pYr8FMpB2HFzPIbCMwGKkkI6YvUixC5TSHnieG/hvyw69G7ztudj8LwrSjZxwO6OsDGq1XpbkPuRKl79llgy/YPqirfGpR2ZMG1qatG8KWz bdnE70/4C9cnfdrUPph/ueGNdfNdqZugpdrgF7PwMeuo5Jt1DpSGezfkzA/5CymumQ2XLb aCUMdhloApHKaCUEeh44UTfvPzT5CsAAAgAElEQVQcXigSBgya FmJdHSqr25hWgTBzXCYVH hblMvdVS59zi1 PjXY/NYb 4fLJWdsOF0YKdu5Qr9uDxrG4GhBLxWMoZLTPeb2jroZF47mjbM Zw4JGwYIQQst0ncKoZbqm26uXuvPFQsEuDg2mRsxDhVOfeFO/5dzLUx QwTYRPANAawjsjvg3ArCXwTopZDMAzQHQHPBcjfd9Xl9acI1lN T2747qv1VhLED9QlY EiflEYJoYkRUmEuWohEJqkywTrJb8M7NU4pwcj3HRWkarZZQkK 2giGxeoehL7 oL5n0XwH1HSzxj1iTD3MM tQX2zwlT8D1gqvKyJUlRUakRJUwRxJst8kqV/TNMdSOgl4N/nwdtBqNMfbAczBiNNPaFUd8TKBpyLwD0RMbk5O u73yGt10HexgsFPK8j5ggCy5FCljG60eIpTzHrLbzF9f122aF3 w2teqFv6HZa9jWHvjNZ9km1cEIornPI3sW9ZLZ6SJEmUBV6leY UTJU0S4xoXj3NKkqdqeaKWo2tZrpaRtMiCeXO2JaL759R03ZrM foTuW7 40l7bsrPhK7/PvHLo0LfP/PpIdN1dUt8WdfRoILW5dqKPy5XY/KveXkOojIWgiTuWP1/ATAc3LMIwCDNNmOkgzGGmhZgTqDFBFCzS0AlDv7prkiONLKuno 3qmdmhgdk/3LQMDD1ZGN/3il63/7dc7J84dOXtuYHgU5i1nMH12pJTP9xWHC8WS4Rh509BTrtlfcf qG7YxjjubguTy0TKjbtgmL0CxbRtkyoen0F9x w3XTul0qjpTto eHf1BJr6x0N/524LYfMqApBp7DwXvN39kigPee/ JOBmwPgR1B0BzwVFuEtARAS2DyZZsfa/eF2n2hNv9kgUEzilx166nSbQqgTSjWhGIbQuFnZO2zOH4jHpgv RGoURlC59zOx12aSkiDKHK wvMLKknB9md61KlnxaunstZa81TOx0nX3i1bPQ16tg1d4WZFFp ZpV0gSBVwRGlaqfG OiMS6q8VFNUGK80MDQC1Dsp/MWfQ8lXyCFtQT3NEE/KjAfQ/0LcLqOkVRRqC59OUWottJnozFGVQSJn8tzXwkLawmhAwnvBkin h2gHob0IvgfMzLAtA/hQP6VnAoUK0AenjnKznq055HLuFW9xHC1kKQd6rRE/HCGNHGX2Y26X38l6jSvU0C8ajlwCH3s2uegHkeCdHHfv3Jt NOuebzbedXc4KokKLcu0JLOMxjIaJ0mCKgo3r7xJEkRVlGKKKn G8pqiiLHGS GEbTn9JlrKoxKQpshDneJGSw1TcTydIVqwVIjO0QP10QltEgxs ZsIL0LfIHbuWSU8HsjyWbVrAHPho9 ODi7k q6x9fuv3nK37yzhHrbH9Xf bgwbGep84P1B/bEc0f4eyTYaefspxg1g3mHWH0QqBQ8umlkH0ODLlBY5yA46Q9i maNUMEmYTFij A6DBcyrDEowSGtMKAMnor3HJt25tiC00cfef3yZ7rPfPGVV7aU yidef vw8OgR6GbGL6SKxZztWqbtmNCCBrR0aOkQGhY0IIQFC YcmHNgwYKuAV3DNs2yDisFWDShC6ENIYTVd q2Y7nDpVzZOQDN7 dza/K5ecODC7/YAL5dAx6aAn7VueLJGeC9wx9/igXrabCD8jZhnnY/2ekPdmBgXwRs94JtAHR4iU4P1eGh2r3hFn oBUFbAqANBe0o6EBBBwLaEdCCIM1IaAca3hqg1gaIn1LMV3n6V jY8lQ5qbFjhOIWXBU4WRI1Vo5QqkgpNyWFJoeIKF OFOKfEOSnOSTFe0gRJFiVRlqpZU0ZVGEXjpagkRjU qgrRakKVUSVeETRxspxIlKWwplGyEuOijWx8JqMmGZbQKDJOK HwbC3JsxIlRYXG2bgU48P8NIS8EwQex7hWSm7F6I0B4pkI9Q0G vxMPrmYTKgjOnFLHKkxEwjmNFOWwkhCIBB9K8ggTXKZqT/jUViDtBMx2gLcCYo f2A38u0BDlmvNkikdO2MGe92wsYHbXxh/78ZTKSY/AZwJkOkJFLPAGQH2CNDz1DAMmn1EKQ8MC3HOBgZHlve8kVzyfJ x4APF/Knnj0yt esBz88eoWbEgA JRTI0FI9NoIHpFkaqVpVtW3qgIYpxTaoWoRosxOcqoSkSRP2wt hdmGecTKqdxvBhRaKomSCUpWm0Q2Vmz PlzMeH2MPhqLfZFKbwMgM9wsz9CrPko8/MvTz956aX3fnTrgXdO/c8HFn7jV5lL42cyY7o mB84NmY2vz5y5 Dxhp5DMTMVsXMR1yRc25PJefIGalb8RgWzz0dGrvjyo0HrPJIv k/YokjYpuxjM55lsejbMz 4//YU3Lz30m3dXD/bcM9Dzo5Hh7/T3vvzWW7uKxT35Qk 5Yo6fK9ilfM6EhgX/lMeEbgFWdDhagMWCZZuWYVrQMl3LKNr6sGPYRStVcg 6xZ8XnAeGzFuzQ4vH 1e/0fuRCycW/q5w46tHlDf3Tv2 BNZpYC0ONgDQAsItANuDgm0AtKPeY7zS6QlXWbb5iBYEbUE9LR hoC4AOFHT6J5s7tyBYE4ptx9DtGLoTCWzC8ccj5H3h0CoKX8iE ZzBsHSNEOVmSVSamheNyWGVoKRIVwjUCE eFOKckOKkq8xpLRlVoVaFVrcpSFqIaF1eFKC9FGUWjNYlXuJjA JXhWEwRelvCYRiiqysamMfE5lDIlQlMqycbCc5jI7cn6OCsKap yM14bleC2nruaiX/WE1yHMXpTp9Ia2YqGfs8w3GHwN6lsBwvMxuT6RJEQq2hiP1csE AWglgEzD8TlhXADLGe/6sLTXx70kJ5/zeNZiYBcbaAfgMJidozt0Im/6uhxy4Azeu3bK/j74i2V7OmPZUZAfA1baV86DvAncUQAhZuk8zAXT3dgYBCWIDJ8 TXna0m7dw5Hci2kPYwsc sq8MPv21ufd/jKlDFMnD8ACfyfinkKrKxhimOlomWKWej8YjfFxWGVWiVPGvka UqSjGOj7KczEm8rETiWrgmTsVqODk6XUwsidA3e8AXSPBYbfzR KfMfiK2ZA254cEXHQvrR4qH3vrFq7djRN/65/NvK8czlnHnO0gsw3TUCj75z bERa mJw8tgIZpLYYVBpKwDmAX5dHh03AddMKT7YQVzxkLOaMitRMoV wnVDjoFZ2WR 6IejF57oybZPXDn57u9arNH95Yney2/vTuVTlXN65axZGjNh0THcCixWDNvJ5S3zT2JpF2C5AMsFyy7Yh mnppmVYpmsZZdcYs/JFmMuVrDOjld3lkedy1pdTQ7fpPQtfhSv0Y rEQPJit3rppdofzwKPC6ApBjo5Ym9QagfMibDUDECnh jwhju84XYf0ebHmgO piBoCoHmEGjBQBviafcR7R6hzSM1 kdAXQrAbYSYGcIbMeRdQT2ZAj7FkHcG6Fuj0TmUpFalo3KkqKp oqpIkqRwXA3NJRk xktXT0sr1ypypKuFcoyqcLI2WYrAR2UhysnR6kWGoszFBC5 lWVY00hVEwWthos2RKRaKiILZL1EriTwe6PJeXh4jhYTiUgNwy MiP g1DxKsFuDkQ5vqB34moKhjRz7EB262wu rExZE28URRGECUwQlUQsKkdi0ykwHXzkJ/Om1YGxXQ88yoPnCfAjAJrrAj pBz RQGcAbAHsmNqTR0rFoJPDMkepwZc Xjiev3Tz3tY5qWGybzhUdIFTAEYxOHI NFwO5oam5NJU13FyHAJzyFcan5J Fdz8c D/FLX4aWTNcyu6xpedGljy9HeJWTwv4xQTCDWKwTpRVWWNFVbcvI qT5Bgv1fNqkmKTkswrXERl/9cnsf95GySqKEQ5KsbSKi KYpxW64hYMhTjWZmMhwI3R7j7KPlxreFBknlInvXotPt/cfK/Xxp677L9ntv3O fMm5eNN8u99qsFpzLYN26kXVfvs/Wui faL128t6v7ayPjC/oH42YKz3fTxRxWGKRHHMQ2QD4LjLzHLID0UNA0PIM9tJHxnzkm 6gNLUr37J65k3Et9udEBfdQZfd0deTVvjhhGKZsxXLNYgq6VyV vpzLBRGDEMJ5 tTlb//SxN6BYst2DBgq2bdt60dAhtyygXjQkrN2KmbcfIjJROjwx3Qut nOf0royP3pAenX7l4i9EX/c3E0iv9M1/tXPCwAh72g/VBsNMTaAHkQUQ 6BX3evgdAG3zh5pRpDngacLAJMsgaAmAFgRr89JtHqXFKzUh1P agbysBtpJgBwGacNAc8GxD/OtD BMUfW84vIIMNlB4VIhoEq9JcoxX4oxaE1FitKIK165ymWwyMrm AlJTqclG87qeSqFVZ8rIkS1xM4GICq4qCKEt0NEopGitpsqgka K42TDYyxHKW/IQX bYg3 5H74klZqGBlQy/Jhx5kBOfpZgdONnpRduApyUQ2M7QP6bIL/p990viUpJgRJqaWocIUUpWRZnwSWDJE/GPvyDWquCX3Z94KAn n92f21QHfrn17ouvrPr10Y /t/Fb52d82SROQuzVk2AwFykei nn1v/3U9b5rwwdX9IH5f7hkFkCBehxRwOlMapcpFP9M8/0Li7olJsFVtrnlOL5S Djz4NbnlO/0nnH4Qs1J62pvf3RJ78J6mkuLnOSiCVlRBMkQY0riaW3rIoosi pKdYJcS9F1oiDJLKswH5ZC wuzjHOROMdogiKKNWGxPiTHSC0oid45EfobU1fc75v9D0B7kpv 2iy2Ht9z2zDtn/k/Y82Y281ql/G7Rvlgyy042Z6d63jlXLuf6J8rWUD7dbTtd51/bkC82Xf7Ffb2Z y9dmNl/eoGbFwdOkNkzmNUfPm8FJkxgDyJOCs/3RI2hRN pJbmhO8zCY8XhLmP4YvHCqDlqD8FyvgiHDCOVO1sZH7bdEoQuL Dgw78C8A7OmmS7oafgnsbSgCe2qyYKTNe20aWchhNAs28ZZO3f ezk7YuaJrZst2l2vvs92146/ 4OTgkrOvfWpwaKaZnmGdSPw6s/TJRWDDLPAiA3aEwF6cbgLhPUBtBfT kNAc8OwIgR0h0BQETRhoCviakVCLP9zio1p8VIs/3IxgTQHf9iDYioMtBNhMgu0hsMcL9gOw34dtC4W/QwZXE/7GsE/jgjIXUTghzmkJJh5jEgqX4KUod7UQRxI1SdSqqZ2rCR5Juq5V1 9XyAE2SJE3kYgKniawsCaIssZpKqSqpqrSqKDxTHyZuDIfvjdC PYMRzjPBlAB7WtLt8yP2C8E2GfpJjXsSDTUFst9/fDkCrD9lJhNcRkR/g2AMStjgMhChJTaul66cHNSWoeqRF4JYnkTueAGMXbnBeoX84F/zfLy/5bhK8e r2cnZq4VD8vYPfPKndPoSdHIn8Ux45l1Mm9sb7f9/93ml7 MVXrfldAzXp8VCm7NXLPnsEZPO4nqlJDSx7 cR3X3 Lz/UFhw0wlCEG3DmDV1acfgOserjxJYfoh8ki5Nc9Bup4urZWlmtC WiwoqRKj1Wi1C2 7NRSVJUmqFeVaip4qCKpEc/KHXs30l53ECgmOi/OCKiicGCPFRFiSRdnfwGLL/fEH6Y8 Efp8W91DL9/0wP84WPjh/AfPHn zkBorTlw81tunF23DKYyN2Y45mOs/7ub6LpQdM5sdyhrZkQtnKpe7L/96fa7U vYvv5Qe sZEZUnfiZn5Hjl3kjG7goUTuHlq1mulmvSpz79xcdmxw8 9fuVpt3Lqyru6UzEH0mPQPV8agUNpN6 Pl8tmPlMp2tDMFYyM5ebdsgGdjGFloKP/b7F0UqadhpYOTdcqjFn6BSd/0c6OWTnbLmSL9kBp Eim Nxg8dvdxudh5d6enmXu0OKLqbqz 8RftC18MQk20KCF8m0BRJsvthagnQS7Iwi245MsmwO Fj/R5hHaPEqbR2jzhVtQTzM2KXZHANuKYRtwsD0E9nrAIQCOAKQdw 38UDn0qgsyJeBIcqnKEzLJRVtW4GkmYwou1jBKtLiDfx/l w5Hr htUq9tliVY1TtZUUapemaxKkyx5WYkoaiim4TFJEOnpFH4PTj1 Kcpsodise R4APyXCXwPgUYp8VmBfiBAbAr4WzL8bRTq83lavvzVA7AjRP48 EH1LBChGo0/2AAuGkiKohbBq47ftiR2XVmUuN3RnwRon8TC34l97k1 eD0sm6yriSHoi8eeRTJ2 59xhxEEbe7AuWO5FT6 U9/zLw3olcrvlXlaknjit6hcyMhApng6Uxv54Lp/pWWtZnXunZ O4/JXqPk/pA9PJlX8qKm6 xR1zwrU2zC68FrBJpDc3q6gRza8jEFJ6N0UqNGKvX6LgmJObdf isWl3lZSkrvsxT SlkKSpzTokJMUKKUKoZVRpTDM0XilnDi02BVU2LDwSmdTbHnN8 66/73Mq8NthX s/DaXKZQuDBuj1ulsV/Gc3T144uLlYRem3WzqvGOXckYx75hmxapcShUvdLnnzky81moW 286d/ KJo987P/xRs7/2eOfMzPG6MwfuOWffrfc/c/nct48ePzJx WCmmC5OmKOVXr1/yM6Yo1aupMMx2xl3e3N9QzA9BNMZM52zsrqTN4t50y2YbsG0/ldYmpZu2lnTSZlOClp5CCEsDEN9HObP27mztj7iGEUXWo6TNYZ 7Buw9zoU9J/q/N3H md6TK0bStb xGn93esnXaLBjFvhxADzv920Pq ux0KYgsiWEbA15mjDQHADtPqzDw3aCmk5Q2wGUdl oDQMtIdBSndZ6pSavtgkLbg15On2 fcCzDyCtQfynEfxLfGglj0yXgnEelwVaEGVWSVDaFFKrjahRWr 0u6SprkqipQrV6VrmanhVkiRNljlOEKssYLyU4LiZwssROHumU FFpWAwklmBA4JTw3Evx6kN5MSK04vd2HPAPAWhR7AoBn/N5tXGQ96t2K loD/l2Iv8Pr3wX8nT58FxLZRHpfnAUW0uCj306gSwBTA2rm ud/jblrA73/7JxTw6GeHvDOCHjL8L6eDk/0xSb0xKkzYOJCfOjUrb9P9bXw27rCRk80d3Rq98 nbHm36596s0Mtb1vxgeOBghkxzuK5cdQpCiPF6EDvNy5ffgGON V98a3VmUOw7CbqOY26JLb KD1ak7nIcXgCpdLCUWWweBfNioVhcpBRBiCXj9YmIqjHKvNtvR eMyo0pxWU5SdL0gqBL7V8pSFpUoG5OFOB2NElGWjganSMStVM2 XkVXtStMR5dTB Inm ubnFnz3nePuO lL5f6ibZmDZp8 nBu0B9JO2h6zzvSfLpcsO5MeK8CRrHkWluGQUbKG /qyduV81hlLDU cHB797q5dR959 8Wx4r2nDr3wxvkv9Z54bqy0763XD4yfPeZUMsWJonshn3e68oP ulZHMGDxjDuTGYI85eCLVVTpfSZlpWIbOsJ0zs9lcyoR5aOn5f PbfbxJCCCfXlrZpGaadN 206aSglYWWDg3H1MtmfsQqjJXgRAmOuWbJNJyCXcraZrbYk4H7 svqmYfcH2e6GSq/22rH5D88Cb21Zua4RPBnxPhWhXoySPyU960L0lgC7AyVaEKzDG 94N L0gvhfEO4HQ4cPaMNAWBG0YaEN87UBrA/EdCL0TC7b5sVYP2uoLbA8Rz9GRh3jqUwJ oxCazodifFiUWEZTw1qU0DRGVTil2sT1DxI8MV6ZzNDywiRLhe VUjlYVXtbinJRkhWtHOkVZkiSFleVgQgolWFHGl0SwxwKRTlxq Q4kdHu8OL9IeprYgyHof6GTpDQA0Y2gLgrT5/O0eX6cX3eMP7fbhm3Dwy5bbP7kYvJz/zJ1PSqEGsOabzJFL32gqLj00ET9VApcueouDYCwFzuX95mDELE TGxkB/GgzAuydyL7136L0D8SPvrXuvdc6O9ctfvNJ1GZr5tktGnX4a5A cj7jlf2gUDfbExp6Hr5Np3f33m7d/tG7n01LkLiwd7mEIqOFIGQwY7/Fp4oEimXU lHCwNNQ7uAtMprEaVOUngxBo1niSFGk5dePtNaEKkNUFT5XiEr RNFWeIE6UN7Z/ lN0iUGpygI3UJql5gFO McPjznhV71a1d4aFBqbw3evS9Q 9defnylez51 AlO2U6pmHa YKdz7l61jVyzmTRjGvAYR2O5OFIHg7rsFQwHNMoWDDjugPF4kC x3F8q95UqPeVKX2m0rzTaXxwdcEeHnErWruhWuQCL0CwWLDvrG pliPlPUs66ec3Xd0Qu2YVqGZULHhK4BSwU4nLeH8/ZI3h7O286fkomF0DZh0YRFE9qTA6adnlxhWjqEEJouNF3LKFqm a5kuNMvQPF8wzunQseyc6/SUrK127pN27w3DR1d/dTb41ZEvfTYM/seR7d8U0beav/9EDf4cWfczUNtGzOjAEm2APOBldgPicEDc66f2YGQb5nsegJdo aj8e2QL8e33SPr 4BaDNfnpHILINZzaTzFM 9FmOf0yS7mWp5WSgMRyI8WFF5QVVZESW4xieZzmZ5xSJVmRakX lZk6WoxmsJVkmyUoITYvwfsVSqLDWRk2Su2nhWFhVeVvC4EI7R cTG0igw85SX2 pk2f6gZwarVDteqkZpQrJOgtgLP7iDZBHx7A6F9geAuj2d9GPz q Mrx/FxDX3Y4u3T182D5T8Gh8g19o3NOVrjuij9fBGUTXMqA82m/DumMQ0ID6AWyf RzdnH3Px5/deeSDb9pf/X3J9/85ekLl/tLrp49cMGu7zsMhk4Hy6VAeThQKnCZnhu7Tm YuNR1/o1j7kRr5dydp06JmV6sYvutoidthzNlIu8CaBD2QONAE1gVBwp OhoNaTKaJ4HwlNoVml956YzDGR6KCoskqw9ZIqiT9tZYTSJIUV TVO5omEGJSJBbNi0wB1F7hpKJaC3IWXwEBrsvNfDv/ YveVUf2i2e MwIprQMes7tTbuuXmbFe3iiZ0HcMt6/awDkfyxrCul4y8A7Omnc0UjaGinXVs3bah6boFt5wvjuSKo9ni SK44nHdLuusatmXaV6eXxrWAEFY1OobtGnZJd8u6O5x3hyd/Q3k4X3QM 09jaZZNs2xC9/oB03RS0E5DKwutfLUaAULDMqFlulZhDOrjplGyoVOyrRI85hZ 7Ka Pnz6e2 lnr1w5JFHVoQvH1j/pYbwexePfZoDDxP1fcseeRRMWQemtXunHsJrtwHQ5gFrAdhNYx s84GVN2 TxbwKgMxg8GKQOAno/ELaByKYAs4FgN5Jcc0TeQQrrSP4xkv48Sa4k0VkkOiUSqI0Ea2 lyCs/UiHxMERVNZjWZVhVWUgVR1XgtzmlJVkmyUowXVHGSJaMqoqTEO SnBXWUpS7wsybIqKTKtcbxETuOC91DBF/3EXl 4xR/aEcCqUQXZjISakdBzAHQE6YO0uB6ANgzZ6QcbANheC84emeJmO KNfOJVV7tsD7m4Bx1ytx2B7S1RfGc26nqLhOZ/xjmexjEOmXHx8NJRNR44M3VEotfzKOjvaWfjH7PhbafP1rDWRL pTz ZNjpbvyA7VuzmulgZsOD2e1/uNfyefaK2dPOCO99lhX cL2V68kM2eI4ULQcQO6Q slKl/0mWYE9jUM7BQe/wSYJsTmJIMqmZwaU/zobFldsWo5GWVpTZCissDxMUUVJYWT5L9KljKnaDQtBuPT4wwb nhpi1oAl67ybekizy2t2aUPNi7b8pv/tC abp0/pI XXYWG4pBfLuusYLjSLBVjWrXIBlk2z7BjFku6WdVgu6CXj/2PvvePjqM79/5EtyeraMn1mq1Zbp89s0UqWZRsDoabgFIpN6JCQdnNTSEi5gRC awWCKwZSAacZgbFzUd3f6zO6qWO7YmBogIQk3N/fml5ui3x8j2aYY4m9C4PuNP6/nta/V7mjmnNl5n c55zxzpmTrI4YxpFgjo2V51NaLlq4ZuqXpVVmfLJo7CuaOgjlV MCdKelXWLU3XDF02dc1QK4o Jutjsl6V9apsVmWzopgV2baVsq2UbblqKYds3FCrhvZ/jKV 2GFaQ5o1qFmDDqKz/rNk6CVLLdpywVSKtq5VzbGqqVb1J6rF /bI6w6Mrjs48tBryhOvFp9a0tEwseWGV4fv//2jm6fXP/ekeNXDgS/d03DmdUDHk0Tnahdwnx 4iwRuRef9sB64qb35xuY5NzcC9zYATwAtmxuCdwDtN9e1X1fb8 hOg7p65nluB2jU17tvngd9v9V7Q0nxa49zeecDixrpF7lbR1Zb yuiOw14fBEIG4CdyFEx4Ex2BfACTDHjLsxQNHYOms60HCs6zOY omiOIHhGAoGXI1dbfMucLeuaGxbM7fhzrqm2xoabmtwsh0abp/XdEd9y521bU9hndcBwF21TU8Q2A8AYA0BXN8OfBMDntsa2F516 0ZjaafnvgpwmwIU90GF8dbBcvOo1axpzWW5ebzYWpZbR63WEbv RLDeoiq8w8vmd4/eNl7YeHB fMreO6RvGjG1moX9MMQqVHbeO77jsxf1NxkZgaluruqlz4 PXTkw9PbW33x5Ty1MDhfLTL7yW6t/Qagw2G3qrXgblsqdotWgGrA IxsPYz5YB4QaAmOeaH1 87MwOr7ezpX1xX7eb8HoIGPJjIAzhhA9ByfdZ6 EjvbELAzFfuxeu6wh4O9s9MaDtW8jlW Lqk83Kz5s2bu7acuCu6t7 cmmwolf2K8aUYUxW5HK1VLaVsqGWNa3qzM47WNqKXVH0iirbWs EwRjRrSLGGZEuWTcf1qZamVhS1qqhjsjom61VFrSiqraqGrmqG qpiqrqtjsj5Z1CeLToxqV2W7ItuWahtqWdeqmlZV9HFZHy8a40 VjXDaqmn6MWM4Esbamm28nc/AImyHTMEYqen9Z3WyqA5YmW0bFNqsVXa8q8i7dGh8Y2l0c1J9e 5aGI38AACAASURBVLw5uL yZVf5yV3Fx/9sVl69e/BW9lvrcreu8l55h vT19Sh36sHfggD5wHAtxHg tS8f/cA15DADSQwfcsldwPAIzVNd9c1r3Z773KBdze41zfjT9ehDwEt D9S4bm3y/rCl/crmhoua6y5ta7oE8fbV1wlNTfG21gDoQjDQTaIuEnfhhJNtF/T6wh4yAKIEAjtDPofXhkZQZyUBB0sYwUgUC7ndVOO8U5savu5x 3dLaevvcuXfWNdw r G2hvpbG tvbay/bV7THXVtd8113wG0r6n33FZTex0ArOmo/VodML31G5dHgfGt3kqlYUQFiuPAyO45m8aB0R11w3aNqjfqaru munXFUy65Lbm9ZDSP2g39BcAyYuXRCw5Orh3sf1gtD4yaj5Qqa 7XyRkUZGNfGDHXnyMTB1a igw91Da5kZSf/kSpf/WOPcMTu9XK Hh1uzxsrrUmM1vWt4w U6 MtJg2WDK9o3qbbsLmMPrs7dDtXwHyASDtAySi5 vLQz6Sx4Mn9vbAqBfEYTCAuREIJQkUxY8awn7U91vCGOmNBkEc ABa1Ip8H0rcHr70HXne/b tjPU /fOf F7dUnjMrujyxbdDa//Ib24ZGbWWGE12zFb0sG2Unv9RSbVs1K4pua7Kll3SjoFgjilWw NNlWVUs7zJ5sqof6pbKpKrPQGrpqq2p11k9WFNNSTUMzdc1WDF s27KJZHrXKw3Z1oFx1OqtD5bJiHBOWTkbBEeaEzbPRrDJjI4pV UExZNwpVY6CqbzXVfl0f1QxZN8qGNmXJO5R fac5OV7Udhr6pDGijj4tF5 dtEb3FPp3rRv4742/vFG87qH86p94L14jnD39 Nov 4E/9X/9ix3A8jDw5STwyr2nfTUA/Hn10hXtwMo6YFULsNo9966mubcDwJ0A8DDQ8BDQdB/Qemdt24rGtuuam69pab62ren7XtdZ9fV9TU1CS3PE3YqgHjcJt/rwVoIAMR8G wJeX9BLBkCcQNCZR5hguJO87qyw7MyagDjqRVAfiCSbXQtqG5b XN13d3nZDe8ON9cBddXWr6 rumFd3W0PdrY31tzbMYHkb0PhYO3FPU OKVuD7HuDqJPDSQ73jT0TUwWbdrh0aBUZLgD4GjNjAoAUUDWCi 2DBebB013SOWu1psnyg2q0ZDwa4dMQFZDg89unSfudaqDIxWhu y9/UPlx0rjW9WyMqbvtAd3TJR2bZrcxTy MmU kSs8c/WBvY9P7R3Rq2pBqZS03dVdT9jjZxT74eFn5qhDzWM2WDC8w0qr obfoQ5HKlsCzq4ET2KYfXQF0B5c9 2AzhkM1LSd3L8JhBMJhMIC1YV7Eh2EoTEDQ0VbE/oj7lgThS5FYVyNwCRi CMg8FLllXXrbd4mb9z/w3PYNxmvbd1uFolaobt/ /KBSLJlFQ1dn 5a6bOqyaSqGqenm7HiM4/1kzZBlq6SYsq2qjle0NFUzVNlUC7Y8Wp6xmUEjcwZLy lJarql6TPL7eimYpiyaRYts2DZBcsetu1huzxULg Vy6O2fcxYznRcZzJ Zt2mQ2ZBsQqKVVDMkmLKzlBWRdermmJpsmoUS8ZQUZdlZbcq79 Hk8q6J7WZBVgvDmrJNNwqKXi2VLKUwvK88sW/z3pefeOXHwo n1/33qr5vvPXolv/sv2fXk5fs3ba0vD53Xjfw0sD8s4LAf2045T iwDUocNVc4IZa4K56YDUAPN7U Ehjy321jXfPbbx9zryVdQ2rGhrvaGy4bV7ttY3zvuJyL3V7FrS 3Jt2tBOp2k3CTD2skCA8WQJGAHwwEvD4/SDrrMh66ocR5ctaRWLowlPR4pUbXp td35jX/pPmlp 01f60CVhdV3Pf3Jq76mtub5h7a2PdbQ0Nd9S1rZ7jfqLF92C96 96W2mtbgW TwMUxYPyp N4KY5igMdai6nN1GZg0a8ZMQDMB267fXmyYKDaXjNaC2WopzRW 5wdRqNaPGGpujyoHBdefuNNaP7bC3aEPV59SR8qYBu1 t2mV59 Tg7gNDU2V74tKtD1 6t9j7 P0rDx7cunOfYVarI8Vy/ DuyZ0bxia tnO8U9421xpu2FH2FnXPkNxg6TXa0LyhDR3lYdf6 8XKIHDFp4VHVs0NRmNY/NSuJX4vBmEoGEBacTfih0nE6weP nCEjxRLxIfBsVgrfmkQv9odvAxIPpVY8dp1r//s9Fv2mtu379ALQ4NlZWxS3WMWy4o9OGpvUqwhzSzIVqlolwrlk jNYqhnyoQDVIVDXVdnUFUM3NOfWDd0ZK3LM0FVdnxnXUUxVNvV D9vZRH/2QOSHoe9kxSdWNkm4UZsksH4ppZ3IMHDOcAa2ypk3a8j67tN9Q dyqGWbAHRuyBgj4h65PVCW1w6AlDG7D0EUXdvH3H5ODQ7vGp/xky9wzIZbtYflnf9 0lV/xp5M2JW7TfbnnuF6Oje0srNz6 YO uk7ZuaJyQkX3F0J5NiV2P9L54zykraWAVAtzXAtwGAFs64B8Aw C1tDTc2N9w8r35lXf3qurp7aueurgVuqp97NQR/0QMtaW2h2xoJpM1Ngs1 vNFHuvEAgoRIMBTwBmaxxBEUd9b 8BC4h0ARbAZLD4F6fBjp8fY2ei9rwa5rhq vb/5 W81P3cCaOmAtAKypA 6cB9zWOPe2hvo7a9vumdO Gmi4CQAeAht 1ApcjAAHt YnjfiQ7Bo13UNqo6w2GoW6yaG6nSN15eEaszDHUuvLSsN4qb6i 1Bfs2oJdU1GB7TIwpgOG6rPM74xPDg2ren/BKilF3ZIHtYJendIHpnYPP/fS8ORz5thjxvDDL 88/8nH7ti c3hqb8Wo7i/pu0aKSklePzH205cOUPI2wNwK7LI9BQ0ckeeNGYBVmGcqDfIIN mk1KVuatGdizz5ax cxV8epXZ8IuQnEwZJoQwJgAG4PeV0fAZbvWJZ7wcI GEUQDMVwEsFQGMEI2Bd0R6RG8t/QwHcAZGXtJx JX/NfT/x YvP IWOof3xL0Shasl0ZKu 2JwdHn9K29yvWkGIVZLtQtAtFu1S0S4op64bsBKuOt3QmLRTDV AxT101LNa2Z6Q310DZvi2wNXTb1omUWLV02dWU2sp0dj50ZFz3 kSB3IK4puq/oxpaofgaWsGbqm20d2NZ0WQZlJObAVvayp243SAUt 0dD2aWa1WB4sloeKZlkxK5o1aJa3lkpbJieNkcImxdALxf0DhR cHrf1btcrk1HZtYGBqQN zeezV4V/s27pvr1yplB4pKV zJj 3dTQ1MZnbuI6YKi20nlrwi/6zLyOBb3qAW33AKj/wyrc s6Kz7nso8AMY JkLuKWpbnVtwwM17Q8D3jW12PXNwSsb0NNr26W65lCbC8HQdp vzRd04wHEuUvW63NWFSAQEENhJzPWub/kyKcMBXE80eI6vc793Xbfqjbs5rp5P2wGbgSBe qBh cA99UCq vm3lnXdGdt2 o53nvmuB9u8a6qA65pAlZwwMFHsruGUwUFHK62y1X3UGmeZrmq RvvOYvMB1TVVajRGazS9Xtdrt5fmjMs1IxVgqAo4WFbUmtHRcH Xy2srk0NZBZWrHL0YGFduuyKZZmdxd2FKdKuzbOWBOjJQGlKEt U9YTU9sfG58crE4ODY/u0o3nK5XB/oHRPXvvOnAgv UZYGg9MKE0lkrNila/cxyoqHWFYVAu4WqpbtuT4K7RUP9jQCDh86ZOz50acZEYgkN rIF0gUEwCLnDHg8J/1OwdLKu0CMeLOOsjd2GwN0nLHbBMIjjMO5zQzCM 4IQRjW2ntIAft9NX9fY9Wj067dT39vx0MFx85dbquObJ2TZKlX Vwo5iabJUMoyCbDsXtPoOc0JQQ9MPma4f9nJHfv4Omw0s38Per ffZw7GROWP6O7yuc9CZV93UdFN3pi7VcV2bneo05JmvDHlmNsW QdQdybVzRJmWjLJvm7PiWWS2Vx4qT1dK4XVIr5rBlP66Yt5X0a 3TrPzT9R2bhG7uGLtj59Kf2P3XOhQJw4PGLzosCBx6/6BIaePXRC79EAjfEgB/NA 6sdT9ak9gI9D4IpB o6/4xED8PwE8A0C5PrMMTdrsJFxb0wAGfv8Pb6vY2NgmxTm8jwKcC iKve54GDWLDVA2ORaD0IIaEw6EUTqF9o8p7RAi8FgOvdxB1tnl VN835WD9zmBtZ4gHubgXvrgXuApsfmddwLkCsA132N2C1NNf/hAX4QB155PFd9yr 7Enl2oMac8haNebLRoBoNml5vqfW2Ns/S6wyjriADigaY hxTrymYQMEEDBOwrdYR2adYp1qV6yxro6GWTXWnoY6riqkZumK YujppKNstZVzXzaJdKpQLsqkXLLu/am4b00fLqmLotlJWtMlnJp675YVXIts21hW3zakawM5JQFNrNI Xs30xteOKbv3otV9jYVngoNfLoHFoi2zo/lTujsyUQ8JC4P1AXRJrDKOHxdrjAoy33/I/HEjsCSxCfwdKNYz1LTgBxHCFIhCAhGMUwIgZB YaaLxH K2oCVzV0rc1f9esHDvz1wPTTG8pbKtu3jJmKVahqg1Py0KRccJ bbeE9gjmtWh /D1nV1Bnht5n5ry9ZMu6AaWxXjGd3eoNnrTO2eqdEf/m7nyuJjl06N/ETd N095s0vT66cGvz23q3feO3Z775 37dWCbGfNkWuB/h 8MoS9O0h6EubyEtuaP70JbULFwMZsTEbbBaCWDfkYUlSIjEmSK ZCRCfkgr3trs5AwOcFcTcY6Ii0Y6gn5K9tbcHdYLLZPR9ourAR kETdLsLvhEAVtYC93tqbpgDrJgHXA8Aa9va7wba7gWwnwOR0VD PjwDgrnDNV0HgjSd7DgzE9ldCA/2AWm4cUAHVbjDMBsNsMKx63Zyrm3N0c45mApoJGHaNVZlr2rWa UaPqNbo5V7WQAVksWueXK7fa5kZTsSx5h6GOa6rldGoUvTwz0m 7aRbugmSMTcqmiykMVddOEumVcH7XNaqlcLU5uK04 uu/VE4YG0MI2wBwFpsqAZRN2dXFp9LqXX7hucvvZ2zakRh8Kr78N6 Ai0BRKf6D4t0hrwef1IIFQTxJvDZAjCUiDph/45WL798TKHnsQG49iCxYswAscwjEQxAkEJCKFB16c99Vdi7T IMNPr9V89XH7pqd3GUxNqYWfRGC/YumYWLGOooo3Ymuxkrh17d 5fSkfFUtM009RNq6SbQ7q11aputaqbyvb6fZWNU6Un9lhbt v9Y/rAuDVkKk/tHNu013p819CD 9Y/8Mdtpf99uHon 82Hkjc HlzxdPtP5NDt97f98Nqmb54NnHdW86Uc8NlY8 c9805razutZ/FVwBwRqBN9naeB2IKmls5oMAJ7GlHC1eiu98VICG5LkVjO5f68 G7kaC/24vvkGAPi5q3mtq/bBduBmALi7sWYdStwIAPcD2Ppm6hag6ScAsIace8Vc4CoaeHOI 2TXsNorAcAmQJ4BitUY1GnStWdcaNa1O1QBVAxQNUDRAMwDDAg wTMMw5mjZXVeo1tUlWAkNyn2JfWR5bXTa3GLJlFLcb6rihl3VD 1gxZMWxnMlw27KJd0o3CZEkek9XRsrptTO2v6kXLnCiWJwrjRX ly7fiek9ev8z39mLu0zVvR3UUl8uzAv09MPbh7/ a9L91Rrl7zy/0nyOuyG /mr/1W/oTTg56Qhwi2RUJzfKibwBPtuOQJBt77KbX/6AmSI9d3edvnGNY7v9uHoYTX7fN6wiDoa2 X3M3LwZoLmoGzwZbfj8gvDVWfk/cUn1Z32s/Zim1pqm446WklzVB1raxr1eNYvq/UmeD2HVhqtqrqmqZpeknTRzVjwLC3GeXNprXNVkYKm/vLasXSJ0vFMVmffLZ/2Kxaw8PPlJX ieGhPVv1X2zd/6unf/nf6/96XWrF4/QDg L6u8EVq4k7f9DwHzd0rP4y9NOvJFZdyK86J7cq7fv6Yv7qU/M/bgV6BWI5OocPgb4A1opizeEIgpNuH9garp bnTvv/Fboey782jlN97d6VgHATQBw51zg5221a5paVwKNj7aHVwItD9S jK4G5D/obrmoGbskBBx8O2I/V7NQbVQ3QtgPPKoAyUatq8wylyVAadKVeV boKuCYpgC6ChjqXEOtM5QGQ2kxlXZN7hxVztTtq8fGH6mYw3rJ 1Avjhlo1TVs3SppZUgxdMWzZKMuGXbRlQy9NFdXJkiqb6lBFHS 7riqFPFu2p0aqlTa0zxs956smuTU9So5v92zbFn 1ftGHr4y//anNllz3xwkalunrX5MIn74iV7gV cmH8tFNQJNAWDLbEwvU4CkJIohnh2sh/Gpazz5M5ZChMILAfRftymQiGBNrbO9pdFIx2trb2eVu/n/R8p6N GeWtbl07XtGKJaW0pfDq1MEdBX1Clg2jULQLo2W5YJm6Om4p44 Zmf9SX/sdZR8VSUy1V1VVV1vSipo q oBqbNWMYU3Rq9buwujE MSrQ4U91uQrw YOeWKqum9q8 izsjZaNkx1m6U8NfmS/oc9G/7zlSf/PHbti6vy9z8gPngndsvT8YfXgLc nVy7Arn5LnrNt9EfXcvcckP6trNrl38S OQJQA/VQvjB5gDc7odcaFOjv65hMRT4air/bTjx/TrsWqB9E0GtAID75tQ/4mq5o7bmroa2nwJz7m0GVzU0/wQAbvUAP/IC3/EDO26HpnfnxwZqSyPA5J624TKwxQBGK/NUo9bUak2twdKabL3d1rxlDSpriKUgpgyaMmjKHkv1WKrL0trU UlTRzjfKt45VN1SMklEqG8UJU6uYpqkbBc0sKKbqJHXKpimbqq GrO0f1HQVdM/RRWy/Yqq7rOwr6zhG7UqwM2JO3j1W M1VZKg9zP3/grG3DN0zse6RYnho/MLJuZLuxe2Ri1z2v7Q4qd1LWGvCTJzTheFPQ7 7saMNxFCYirUi8DfunBbFvw5JAYAKB/TAYRpHFaYkh8U5Xa8rt6vb52HbX6T7v8lbg4O1ff0V5yDLXbTU 2qzvsneOThSc37x5Vp0olzSwMV0r9VXXYtg11vFI6juX76z2xL Ota2TKrumbrum6aumEqqjaiaIO6UbKscqU8ZVt7 weq5epLz2yzze3PPzNa2FDYou/Qth8cG9IGzbExw57atsWeKP9K7X/9ZXv61a3/u/ Ol /tvuMm8gcbs2umr//Ng8yt03f/4fcr31zB/fQPd7/50MLbbol/96fclUtQNjivOePrSLQhn5UWdbcEPwdxX5gTvgLwrw2edAsQXA mgD8zxrWuLrAQabwRqb3XNuwWuWwECK2DgZhL4pgv4qQC89qjw/OawuWleWWseLAJbisCQ3T5gQiMmLCutqtysKW2a4tJkt67Auoz qMmbIpFbE1QKmFjCthGolVClAw0O0YX7HttdW7QFb10x5zFAmL aNiGNqhuGyGTNOUTd3S9J2j5o6Cqet6wdaLlqrr6lRR3Tmq79A qill5evfUz1/Yc92OsQs3PHW9Wd3y3CtaZddEsTq WdtTmiwMlh7dU WGbuvsv6n1rEUAATdjGBIIgRhJEsEgRIRg8miPEvqQsMRnHzAM yE4AIERGFrEMSKBJduaOXf7knCwy 1e2oF/Lel /uGf7FYfHtEfMw6Y/faopak7VXvnqDohy0W71D9W2jKuDpdNW66OFavHmBr r6b3wXLMmbU1Tds0TVWVVa1oGrI8sq1ilIqDwxPWhFEql83Jan W8Om4X1S3lqeFSedMzgz8v7yhsP1DdPPTskKYPmpPDxt7CyNR2 eCewRf2bnp 7zP7f6v918HBX zceOD50ddeV958tf/FZYnP/KX4y /kv7jrweKK8676xoJlJ7bx3 2 4EvBU /u ep93KXXzOntj1 8BfvsCiD2QI20Agisrk3e5fX/CAMubAKujgBXgMAPGeDiEPDi ty zannjKSp4moZs3ZFNgyDpSo9KDODRUrVKFWNqlpY0UhZg0uqu6 i2F9XWotpekN2jRaRY8qtKUld5TU4XR88s27fZ1payWTIVw1LG bWO7ZVQ0TdEN5650J5dDVQxTMWxLtacK5lTB1HVnBUNV19WJkr qjoO4xqoqiPVsx102Vn9q/a7WubNuxp98Y271r/9AzW1 a3Lu9ZJVHtQ1q4eaD5lnb7iHOPx2I4DCIRCASgQkkEPL6/KCP/Celqr8DSxKGnfXOwh7PAiouoEi8qUFob/1EKJR3ty NBj8Xdr048ODz2/s3Dz i7tQKFc1UtUnNmiipliYPV Qt4/K2MXXUNityeaJ4rHds/KvpKEM WlnXynLJkEu6oZcNw1IURVEUy1TH7EJZG5gw5F2VcrmoWqNqaV v/hKmNl4tyaYNmbBqfGi6oT4/qG7WxkWKl2G8po2PVYrla0u1KZZelTWmFqlGcMIoTWmmirO5Qh 8vmUGWXttPeou4tTr1c2r9nw/iLW/a tGnPfw784pWHtv/32v3Tj708vfalVb7z1jFffix50RPsBU/lLv7tj9b9G0j 9rFvv7Z 2WcJ4M1nL9rx4Okvb1tmr1syPnTK4Obcrr2ffbo/vWlk/s7nL 8f uTUxNfl0fOq5WWV8lLb/qRpnaKbixVtvqzlS2rXaDE3UsgXigtV5fSydfbk2MXbx740Xv7 xmP1U2VQsTTdk09TGKtZ2yyorSkk3CvrsTXaKKSuGqehlQy1PF O2JkqnNLCyqaoZcVeQJWS6PjNi6Zu6Y2FrV ifLzyil8R17RodLpZHR7ZVKWdaM4eKEZhll 5kd5j0TRf7LZzcxkbAbo9sJEMLcoWCzn2wlMQh77 WePwDL5cuX19TUfPGLXyRJEsMwDMN8Ph8Mw8hRhMLYrCE4jBAQ 5IO8AdAT9nhOFNklqeT8gG9RwCe1tFzck9/59BMHClt2KVvG9CHTLBqGYerlslopq2XDsIplY2BM2zqhDY5pi mWMKdakbNm6cVxHl2aYimEqhqEZhmYYlmFYhl429LKhV2at7JB pGJZpaLYxWjaGq3pxTNXGZWuyVJ4slSdla1I2xhVlTJWrerGsy 7Yhm4ZiGpqta2VNK2tGWbOqSnlMrkyWxnYUZmy8NFZWxlRjbKR c6R r9FfHiuaUqu3W1X2msq9afH77yPN7B144uPWF/U/ueXPby689s lp3f8pnDwm5 46ODw9heKyq4tq/Zuu/65gZsODN72/Ojdz5XW7Nbu22GtGausscfWmGP329WHqvZjk8b6neqmndqTlnK LqV9vGTfZxq1l846Kubpq3l81Hxy3145bj4zba8ftteP2Q P2g Pl 8esJ21DNrWKqVVMveyYYViGYRimbJhF3R7WrVHdknXT0PUxUxs bU8pV1VJNo1g2imVNsRVbV6qaXNVkW1cUWymWlWJZ001tTDHGV M00NN1UnHxn09BMQzMMbaRiXHH7tTAXC81tz8GRFggEUA8Y62z HUBDFjooSirrdbp/PRxAEDMMgCC5btuywtwQAYNmyZRiGIQgCw/Ch1drfUyTumzXCjxN HAuhWBhF0KbGBAIFG rD9XOzKEw3NcQAYGFHKAC6cNjrAxG/Fwt4yIDbT3j9MOxvJ4gmH1YfRBoCUDsJwSgU8EIhD4QftUE4Lk cQgnoRBEIQCEEQBMEQmDjCyLf9iSAw5kKwNhTx4DDkAzG/lwh4yJCbDLnJgIcIeAi/l/B5CQIkcIjwgVjEDXW6vQGvl4Bm9o/ChM9LhNxE2E2E3YTfSyAw0U4Q9QGsLkg0ksEWItyOdbjQTi8cQ 8AE4U76Xcmol 1wp4iWDrQlGA0yANBIBKMIBhIQEISAMAh0gDVhcF4Qbg2gHhwD YdQLYhCIQQiCEBAW8BCd7WTEDZHgPBSZgyO1GNJAIC0E6iYRkE QxAsJwCCMgBIchAoJwxEPAHhyGUCiIgh0o5EdhAoURFEYQBEMQ DEEgBPXAWBuMt8CYC0YRGPYjUJAACRxGvBjiIiAX4XUTXhjzoI gHRzwo4oExD4h5ENRLwN6wxxvyelHE68VnDYMQBPKDEA5DPi5Z 09IQbQBzZLwZRwACRAIhjwc8Gkc4jpMkCUFQMBj0 XyOR7zoootmsLzgggtqamrOP/98giAwDENR1NkIOopgEIFBBAYhx1DQi4JewusOITAbClI42ulq 5RE4jSCJxiayoRElAxAZCcGRuDdCuSMJTySARBAy3BoKNnUEWj p8rhCB jA/joVRJIwifhw7Wk2OiyAIgsCOMEe w4YHjvwTJQkwCHpDHjAIQwEE9WE44SPxgB8L tGwHw370YhjJBYhsUgYDrJujPXAHSiM JGWCFIfxeqjRFOE8AYIgiA6ECIOEQmQiENEB0KEUIIkMIIg/DgRwHxhJNABBzuhYCcUTuKxgIf0gyTigQmCiFJxKIi6yDYkVI H5hCBBtzXQhBunIBhHINwH gPgP4A5AugJOHHsTAKx2EwCsMkiqEYgWEYikMY7kHJNoxsRslm wteO 10ECeMkRuBBHI8QWIxAUwRKE2iCwIMEQRAkQhDYEacFI0iQ8Lk IEiQIjMDDBBYhcR9BYIgPAwMYGECgAIL4EdSH4ORhIwkkhCGdC NKBICThfIihM/ CoT6MILDW1lao3R1HfBHCPxcHGwJYjAzHvSTmfW OvF4vgiBut9thzePxgCB4/vnnz2B58cUXO1g6QazjLVEUPdpFcchVHjYC8 OYp6UlgEBRAgu0t P18yJtLh7DErjPhQXbsQ7CG 5sC8dbg51tfhz0u3Cy0Uc2 IkWknDjGAojPhDyQV4C9qIzTuC4jiboCDtS2LtfQQxqJz0tfle rz9Xuc7lIj5vwejEIRDEYIWCERGA/AgUR2O Yz0tE26Goy0PAHhfpqQt5gIgHiHjnhr0tPi Ief2gN L2Rl3eqMvb6faGPR4/5PLBLj/kskAyQgAAHPpJREFUCoCekNcb9njDHijkgQi3B/V4/D4MhNqbXPXBONEEzWsjmloDje3 5nay2YO3u1G3G4HaYKwVJtrxYDvud GkF8MQ1OuD28JgcwhsQyDcCwc8EO6BETfsciPNbqTRhcwDiWYQ bwMxD4giIOIH4Q4QisFgAgaTCNiJwASCehCsDUE9CILNVBDBZj 7E2hAEmqk7giEIBGKQF4O8uNdNzLhBx3XDKIQgkOOQ/SDkAyEUgRBk5tVFIK0k1E4gIIpEcT/t7wgQZDPoriNhT8ifhAOUiwwdhSQEQXw n/OKoiiCIDiOX3zxxYe9JQAA55xzjsOk2 2GYRiCjsrGbGDwTuE47vW4CATu9BFhFIlhWJIkSS/sxcNePOKDwh1ef9TjC4EEhhEekmjz 9p9Phj34agvABMBGCNRBMcQ7LiOQcgRhr37FSYQrw90BzzugMs daHMHWz2BVk gzeP3eH2gl0QgAnOWaEZxDMMQHINIDCQxD4Z7IJ/H4/e4Ax6v3wWTLoxwkZgrgLoCqMuHuXDchRIelPDguMuHuYKIK4i4 QrAnBHuCMOhDQQz1En7EH8GRgAfytbUh9Yi/DQmDngDqCpCgj4RJEsNJnAigRBAhgx4i6CGCHtLvJQkUR0jME0 TagojL78NIv48g/TjhwwkfhpMo5juqoUEUSaBIJ4ojjl/FCBeG jAkgiGdGBrEcAgjXDjuwjEIR8I4EsZRDMcgHIMwHEJxBCYQiEA gAoMIbPa0YDj6NiNRzIdgJIpBBOH2Ye1 AiIwstUT8CJNsGcu7vF0 FCS8De7w81eH/jeHHm9XoIgQBDEMAwEQRAEYRg 3Ld0sFy2bFkwGAwEAk4QeyjYfbeckmEYhuIYimPwrJHBQJvH7f Z6CIIgEBTxgpgXQjwwBPkgyId7cdILk14QgT1e1OPCQBeGQjCO ewm/m/C7cdKLwjDsRWAIgY/rbxb4NkM8h19nDYJRLwJ7UY8Hb/fgzS6iyUU0uYhmF97uwj0eFPQiMISAMAwisAdCPC4MbMdBDwpC iAeBPTjkIUG3YxjsRmA3hLo9mNuFu9txjwt3Q6gbg904NLMNDn lwyIPAHpiAvLi3GWpth9v8EbyxpSYUQiDU3QYRrXDAA5EQiCEQ jM 28h4UdaF4O0a4UMKLoDAMY5AHgzyHb42Yue0ahyECAnEY8sEQM fMJjM6cDQiHwAgEhSC0HcLrYawWRpthCIfBMOyNwmAYhmEYaUe QVgT2IGAAAQMYBGPwTLExCIRhEEJgD4p6UNSL4BCMzx4U9yK4F 8ERCMdAFPfiGIh6EWczFIFQnxvy40RzJ9kU9xOREIGgpBeOB8I OLO8WDMN vx GYWck1hmb/cIXvjCDpdPLvOiii1KpFE3TsViMoiiaptmjiGNpjqVZlmU4luL YFM meD7F82wuy2QzXCbDilKSYRNJShCkBfP7uthsF5fOCKwoUWw2S efiVC7JZhhJ5PNsuo/K9aXy8 lclsuxUpbOpAVJPK73VVoU07PveVHkRYmdNeaIV1aUWElIdzEL 8vTCLqYny2UzAi9KjJCmuDTDpVlOEgUxLYppSUhnBDHL86IoRn M9nbleKt0r8j3ddE8vle lct1MLsPnODFHZbKpbDaVydHpHCfmBDEniDlRyEpCVhKyGT4r8 TmJzwlijpVyKTEdZbgYTedyeYFhF0g5Pk6zdJ5h8gItZWgmyyR yTGeOjab5qCgxXJqn01kqnWfFHk7sEYQeUcgLbEbg0jwr8CzHc wzPUTyX4rmUJDKSyEgiK4msJPKSIEqCKPE5kV8gCHkhExeyQSH nFzIxUciJ3GKRPVHkFkpCWhIZSUpKIivxPRmuJ8vzXQLVzTHdL JvneOckcFKalbLcTO1yopDjxBydztHp2fryOVHICmI2w2cXUum FVDpN8UlRwLoYVEwmOjrpcLSTS0azbIp/b44Yhkmn06lUiuM4juN4nk lUpdeeukMlk4v86KLLmJZVhAEmqZFUUyn00fFkmHZI7CkuBksO xmazqRpUUzxvJDp4tOZOMWmElQmxWYoWmCTlBBPSNF4OpKQohS fFGk6m R74mI LmWSEkdLKU5MCDzDHe3IH5YYjmW4ozZDH7Y4ZsY SIdLeMQpolmWZrnUextLC7SYSczPxhdk493pVEakeYGhOTbFci mGoxmOZVmeY3iBFkWaF2mWZfmImAuL3Qm2m6O6s4l8Ppbviucy yQxH51JcJiZkOsVMnM kuAzD5FgmwzAZhsmwTIZlMhw984ZiMwlGosQuIdudYsRUks2Le THOMRFaYvICm0sz6SxLO1hm2YjEdXJcnOFSKU5McJkUm0uxeYr pZpg8R2c4RhRonmNYgaE5NimwcZ6PCWyc4 ICm TYlMDQHMMKDMsxIkvnGFZi CgjBhjRxwgRlhFZupulFrB0N8fwHJviuDjHpjha4uiMwNBpOpm hUtlUKkPRIs1yDMuwPMWJFCcyrMQyEsNKFCsleCnBSwwrsozIs KLzJk3xfVG N8ZLrBgT WCej2T5LkY4oWs 39eFs9GjYclxXCaTcbAUBEGSpGQyeeGFF87OW55/AQDMWb58uSiKNE0LgsAylMCzPMfwHMMdIZYTWJ572yf8UYwTnF eO40SWE1mO5xiWZ1ieogWK5SmWZ3iWE1lOYgSJEURG4Djh3fv/W SU80h7Z5mPMI4TeFbgWYHjBI7jeJbjOIYWGFqgOI6ZLSTHs9zs NgLPcu w9z8Dx1Z4dub8iDM7P1Q2YXaHzKxRHMdwHMPyHP32r5zPZ6o/U0KB4wSOlXhWEpm0yKRFRppxOCznbP/2Yhz6iqN4ieIllpM4VhIZSaIdtyRwrMRyAs3PGMsJHCvNHOhd9 p6nXWScky/N/AocI7KMyFIiS/HcbO1m/kVy7NAhnLI5hec5huMpfrbWHMcc8e1sqXiK41Mcn J4auZDNs2xEscdqj5z PedKQkjHvH7Hir5O2r0jpryLJehuQzN8SxH81xS5Chh5geleY4 SjnpJ8DzPzjpCQRAYhuF5/vBI7LFhyQnHdt19 Dp2LCV 5sc hCVFCxTHUzxH0QJDC8wMHqzEcYLICOLfhiXNc/SHiiVPHcLSKefbsDxyD6x02D5 P9lxcf9SWB5tm78RS46nZi/0fxKWThmOtvNZMUfa3 aZj2zRj vjqA/ActnyL/5LYfkuH8KwPDXji47A8lA49GFj beJOTLy/D8LmI/rY6UP8pbLlwMAcCSWzhYfdbE/JL0HljznAEk5/Tee 6di f6903f1bA9HuUfxh8y77Lg jvoALJ13/zJYOp5zZvzD6bw5ow4Olk7Xf8a1fvhYHvov oOxFN5hH4DlrP8/TubHUx A5RfPX1YDAOcvP8/BkhckmuE4Xjwi8OO4I2LFj7Yy7xb7HuN h/Xu0SCaP4wlzXMsz2QYKsNQTg9TYhiJYZwhR5b7Z2BJCQIlCJRw mMz3GMKZdfI8KznlOdoQ0RFMppz5veNYfjz1AVheuPwQljxNsw 6WjCCynMTOTlrMzuT P4IlzUsiI/AsRwkcLTA5ispRFC1QlEhlaCZDMzQvJMV/HpZJcYZMx3u/A0sHSJZLs1yaY9MSwzltxyych eWZrCc8ZMpnk8cx/Jjqw/A8qLl5859O5YpVqCFNMVKfDqXophcvqsjFO7KZUSW4qhENiPFY jFRFJ050M7Ozt7eXoqiOI6Lx P5fJ6m6Z6eHict4Z9RPUGKpZh878JQZzzfPb 7p5ckyUwmE41GeZ7PZdPd RyTjCWjHYt6u5PJOJfJhKOJRfMXdmdznUxKzEm5eKKHYZg0k5S oDEXPF6UEzXD5rgTNsSy/IN8b64h0ZXP5XFesM8oxrCAIyWTSOfrfj2VSfA8seY5KSwJLMx TFdIRj83sXM3yOE3uSCbZLTOc5lotHc4KQ5gWGojlO4AVnUpFj RkseS4lcgmeTxzH8uOpD8TynFoAuGDZOaLIUwzNipkkK9JCRsz 1fO3fv3v9zbemaKqvr1dgUt 48vJVt958z q7vvGNb3R0dHAc19XVdcUVV9x1110nnniiKIrZbJbjOIqinnnm mXw z3EcTdMfat1YTsj3Llz/zLO9i5YIma7Tz/j0r3/z1vT09F// tfp6em//vXPP7j6ezxHxSOhW2782VtvvjE9/Zc/Tk PTe1Ks2LI5z/z7M/ afov03/80/R// GVX71y7qXLU4FQnuEYSYoKXPeCRblc/tG1j524aHE4GGIoWuSFbDrjZEHNFODvxJITkoKUFCRKcKDiuJn 8MiocCuRzXbFYom/hiYFwIkFnntw0fOKJZwiJZI5OZOlUjmNEmuZZThTTFM3OzPLzH MvPZKiJXELkEh/DAOe4uA/E8pLlX3g3likhF2Ok/ILFL7zy2pVf/UoyGT/380t/9 s3Tl68YOlZn37jjTcWLlzo7PFXv/rV9773vUgk4viQVCp15513rl69WhTFXC4Xi8U 1LqxnJCgua9/66rHn9pI8dLJp5154MWXFp9wYjQaTaVSX7nyS7/8xasnLlrwg 9 a8/U PKzP5uiYgmB/9G1P3tp/wt9PfNP uynXvn166dI2ZOlzGfOW/rWn/7rUwtP6KFYPpuNiJyQzd9ww0133XH3gu6ecDAk8kJalFiaSSaT uVxupgB/N5YUfxhLbibqpkSWoqkky7IcLzJ8JkqnmWzf965ded DT2RpqivZMV gskxCoJOiwKXT6USSonnJSb5hee4ILFPHsfx46gOwvHjZ54/EkpnFMhij0/P7Lrniytd/ cYnPnFScaR/1S03pjkqHutcs2aNZVknnXTS1NTUvffe29PT09nZKUlSIBBYtG jRG2 8kc/no9Fob29vNBr9UOvGckKS4flMvqTbPQuXXHTZl6zqRHdPL8XQq UTyxCWLXzywL58Rba30nX/7apfEiQLTyTJ8V7eYZAMEeerZS/84/ZfTxOwZ6S6pN1PdM/HJ Qt5f5jsjGRPOoGVsr/5zVu9PQuS0ZgkiNl0hk5RDEUfSi/m/kFYUrxE8xLLH2ZSZKme7q6Ojo7unl4Q82X7TmJ7lrT7khO7D57 9qdPmU H5XCxNdWZ4mucYSZIomqWdnXASywmOy5XY1HEsP7b6W7GURJ6i 2UNY5hYsYTJdcYrduGnz9PRfdkxW rqziUiwO5 jabpcLg8PD1uWlclkaJrO5/OZTIZhmK9//eujo6PpdNrpWzLMh3tNsJzQmWQosUs2ytfesOKUMz41tn1n38L FgiSmRenmm2548cC yy 4JevvpgTWYmOcWwqxnNstivLiAu6uj91wbkv/OrVs7p6s2Togisv3n5w17JPnCH6OxaeegrJpi768ldUVRc4kaP ormyOoWg6RXV35Z0h65kC/N1YHsKJ45zkTEpiKZGlOJamKErKdUdSfKeQD/Ldie5PPL6x/ Zrrl7IhvJUQEoG52c4NhXnOE4Q0/QhvJ0EJo6RZtJNj2P5cdQHB7H1AHDhsrNnsczG2bQTxLpRf8/CJV84 9wXDh740iUX9KTZDE8n4tF0Or106dLp6Wmapnt7ezmOYxiGpml JklatWvXzn/88nU53dXUlEolDfbAPSSwnxGl /gmnfO3fv/vgI0 c9flz/vCnv/51evpPf/nz//5/f3xu357zz/3C0k dsX/31JK nvkZ7qtfufx3f/7TH6enX9p9IC9lus84 Xd/ cP0//xp te/ 5/pP15/5825jnhXOB5IxIWTFv3oZzds2bItl niaSYjpQWO51lO5IVkMvmP6ltys2nZHCvxLOekbktsSmJTbCrJ siwnZbmuXj VJpk8d Jnrll51zOP37dYCOaThBQn 7p4OhFlGEbM5mkuTfFpmks7A8g8y0kMI7LMURL6jusj1gdgeem yz70by6SYZ7K9 YUnJVnxt2/9bqB/6 svHzz9xL5EmMxmJIZhTjvttL1795522mmBQKCrq0sQhEQikUgk Vq9e/eyzz4ZCoUwmE4/HJUn6UOvGcgLFp2Ffx5qHn3j62W1Lv3CuUR7r7ulNZzPnfOHs7 ZPjN/3s2i9detGO8XKXQHUJVCrZmUiLS04/8 COfWed8cncqUve/MN/npxgT0nxZ3zhU7t sf cE045icuQ0U76hN5rblrx1FMbErFkMhrLSOmMlBZ5IZVIhsPhr q6umQL83Vgeyil3sJRYKsOkJDaVFQWKorh0LsKK0eyCaH7JPD9 1w r7N69/YBFH9nFBIYouyDFMKspxHCdl3wtLTnzXjM5xfUz0tw75OFgeGv JJ8llayGzaOlAdm4jHOlfefMPeHRM5keU5JpvNnn322VNTU93d 3V1dXZFIJJ1OZ7PZRCKxcuXKxx57rKuri2XZD7tjyXEcywnRJN 3Vu j6Fbc99NiTnzzrcwdfeGnJiSc7h77s0ot3TE12BMh9Oye/829fTUXDuazIZDOnf3rpGy 8yiZSy6687OU3X1t 4il9sRST48b2Tl553vmLOYnOpAMsddPKVU u2yDyEs9ykiCmEkmRF7qyuVQqdai5 Ttv7DoiT0A4wlvOBLGSJNFCuoNmO7gMNX Jn8vfdNe96x5e3c34FmcTTJTozjIskxBFkWF5mpdoLj0bDws8e zjr4Lg hvqgCZILv1gDAF88fxlN0zzPxxMpmuGcpIIvX/nV//r9/3zmM5/p6OgQeHZq 8TPrrt2yZIlfr//85///EsvvSQIAsuyTlAnCEImk7n88ssrlYozU8KybCqV4o8uQRCc8kn SzJIEFEW9z/bvKSmdTabokqx / offuasz 7Zs2fhwoWJRMIpz1tvvXXiksVfuuKyF194/sILzud5/sSTTv3LX6f37t7Xlc19/txz3vzNr8448QQxFf/00jN /bs3T160qEsUE0mqM5X6znevLhZUimLy Xw6nY7H4z09PV1dXcFgMJPJOKeVZVme50VRlCSJYRhJko69viL PizMbcPyh5LrOzs5MJpPO5DpicUZIp/PzO5PM mc2Xv397yzuzdHJzqzIMXSC45h8Ps8wDMeLjr1tb9yxns7j udJEARnFIbneYZhRFF0VvCZWfkOAIALL7yQ4zhJkpzEAFEUM5n MAw88cNlll/n9fo7jlixZcvLJJ69du9bhe/ny5du2bTvrrLMWLVpE07TTt Q4bsGCBa 88kpfX58T1joDQu pbDYbiUQcgDs6Ol5//fV8fmY05ZiUSqVyudz4 HhfX98555zz4osviqLY3d3tHNo0zW9961uxWOyqq6767W9/Oz09ffD5l6//2c3PPXdgyZIlS5cuff31X0xP/2l6 n// L /v 32FTSdoukUy/LpdFbgM7/7z/ ZP39BZ2cny7JOf5JhmFQqlc/nk8mkKIrxeDyXy0WjUZqm33rrLSeP4h9S376 PicvQpIk52QyDLNz584zzzwzmUzG4/F0Ok1RFEVRkiTF4/FjPW/H9dGKYRhnQDSZTDoOjGGY8847bzYndnZ9dZqmBUFwvuY4jqZpn udjsVg2m2UYJplMBoPBXC7nYM1xnONAotFoLBbL5XLJZDKbzUa j0ZtuumnlypXO 0Nu4d1yrmYn s3n86ZpLlq0SBCEY13ZhmGYb37zm5ZlJRIJZ I0k8l0dnYmk8nu7m5BEOLx EknnRSLxRKJRCaTy6TzyQTT1dXd0dHR3d0dDPpTVCzc4U9neIJ EWJbu6srGYgmW5RNx qYbb7399jskSYpGo6IoRiKRVColiuKhV6fA3d3doiiOj48vXLj wH1VflmUZholGo11dXTRNd3R0/PCHP9ywYYMkSbFYTBCE7u5ux1c7Hd1jPW/H9dEqk5nJS F5PpvNOlfCEfdbzq6B52BJzw79Z7NZv9/f29ubTqf7 vpisVhvb6/TKvf09HAc5/f7HepYls3lcizLzp8/P5/P53K5Rx99tK v71Ciz3uKoqhUKuW0Ak7KniAIkUjkWFuddDq9ZcuWhQsX9vX18 Tzv8/l4nu/p6eF53nGYh1oHmqa7u7s5VmIZMR5PSpKUSCROOGGRP4B/4pQl6Qy/aHEvw1BOEmI4HOnKzc9kcuvXP33yySc7daQoKpPJdHV1OcG2U9 pYLObEtDRNsyz7j6pvV1dXLBbjef7UU0/1 /3ZbHbr1q1nnHEGRVGOo Z53ml9nPj5WM/bcX20ci6YQ1MYzofnnHPO27zlJZdcwrKsEy85gZPz23McF4/HOzs7GYYRBMG5kpwFggRByOVy2WyWoqh4PB6LxZxOlyNBEBxne 7TAWpKkbDbrXOKxWOzQlMOxBujd3d0Mw4TDYafwLMsuXry4o6O D5/lQKOR4dSdxN5fLoSgqiTmWEfP5Hp7nw GwKPKCyKSoWDIVjcU7KCrZ0RFauHDxiSeenEqyLMsvWLCws7OT pmkn3kilUrFYzDkD XyeoqhcLheJRCRJymQy71P Y60vPbv4oMvl6uvrW7BggXMUp4l12lendXAaheP6v0vOKnbO 2w267w/vMSWg WFF14Yj8edltjpPjnZ3qIoLlq0yBnUyefzHR0d Xye53mnr5VIJDiOy2QyTmDmhHbd3d2hUKinpycajfb09LzPWm4 O6olEgmXZnp4e57J n 3fU9FoNJfLdXV1ZTKZYDCYz cxDHOOfuaZZ6ZSqXg87kTUTg85GAyfcspp0WicpukFCxZEo5Hu 7i6GTcbiHb0L8iedtATH8VAoxHFCwN Rz/d0dnamUimHokNcdXd3O7k kiQ5vXaaph0X/Y q74IFC6LRqBN9OGEPx3EURR2ZoeFEPizLplKpYz1vx/XRymlVnd9RkiRncPSyyy572 oE5513ns/n8/v9JEkGg0GCIEKhkLMYe21tbSwW83g8Xq/X5/NBEOR2u3EcJwjCWRAaQZBDn7hcrjlz5kSjUQzD6urq/H7/0ZaBdlaShiAIBMFUKgUAQDgc9nq9x7SoOIZhgUDA5XIFAoGWlh YMw1pbWwVB8Hg8GIbhON7S0uLz To6Opw3jY2Nfn wtrY FOoIhUKNjY2pVMLjcREEhiAQDINNTU0dHR3xeByGYZfLQxC cDjsLIPd3t4OQRBJks7C8xiGtbS0dHR0gCAYjUYRBAEAAMfxf1 R9nZI0NzcHAgG3293c3JxKpVwu16GlflEU9fv9BEE4hTmu/7uE4zgEQTiOO88I8ng8JEkeXr7Z8ZvnnXcejuMoikIQhGGY1 t1u90oijr/7yCHIIjzLY7jwWCwubk5GAw6rGIY5lz3zoWCYZjL5QqFQu9zxT j7DAaDIAg6jzzBcdxZ /2YBIJgMBh0HrESiUT8fn9LS4vzaIe2trZQKOQ0HAiC P1 5xQ4b9rb24PBoMfj8fl8EOQNBAJer9fhqqGhIRKJoCjq9XpRFG 1ubg6FQpFIxOEKQZBAIECSpHNmndPl1AVBjvqwhv D jpNgN/vd5qD9vZ2HMedQ3u9XufRiA7noVDoWM/bcX20QlHU QUduVwun893eCTW8ZZXXHGFc6E4F67L5Xr/h8/ v6j3fjzocR3XhyEIgpxoFMMwkiQbGhoCgcCll146d 7cc889F7j88stramo 97nPkSTZ2to6b948kiTj8fhH3Zp8eDr0IJ1DIt5uR252/FFFx/WhyAnonHAyGAw6odAZZ5zx/7dXxzoMgkAYgA iq5OP5UxU5DiOk4Y4aXz/dKjVdm/ShPjlH4D8A5AQlFIxRkDEpmmMMTnndV1FxHtvjKFiIYWJCN9TJ i9HiIn4qh253X7Pey8i1lpEzDkjorV233cAGMcRhmGo6xo aK2VUlCw63AaQANUH9FftaKv4fZf5yurqupcbNu273tYlsVaO0 3Ttm3OOeeciIQQuEzETBzxGLAwC4fE4cHhwSExy9WMyBH/udlbuYhonucYIxGJiIi8ftGu61JKTyTvs9FBYxOwAAAAAElFTk SuQmCCAA==
Miguel J
08/07/18, 13:58:11
De nuevo ha fallado el copia-pega, así que mano un enlace para poder bajar un pdf con los dos histogramas:
https://drive.google.com/open?id=1uYNoCTLXmN_5qOiL_Yz9tlEc4iM2OIIh
Muchas gracias.
Hola.
Ahora estoy con el movil y no puedo ver los histogramas. Cuando comentabas tu problemas para pasar los raws al PS, crei, que podias pasar del DPP al PS. Sabes, que hay un boton o una accion, que cuando has corregido el CR, pulsas ese boton y el DPP abre directamente el PS con tu CR como si fuera el DPP el ....Camera Raw??.
Mientras, que tal como lo explicas, eres tu el que hace de Camera Raw en formato manual. Procesas la.foto con el DPP, le.dices que la convierta Tiff, luego desde el escritorio o carpeta, le dices, que abra ese Tiff al PS.
Has probado a saltarte toda esa liturgia y decirle al DPP, que ese CR, que tienes en su ventana, lo exporte directamente al Photoshp??.
Venga, ha ver, si hay suerte y salen los histogramas mejor.
Un saludo.
Miguel J
09/07/18, 01:17:48
Hola de nuevo:
Yo proceso la foto CR2 con DPP y después la transfiero directamente a PS usando el menú Herramientas--Transferir a Photoshop. Es usar el DPP como Camera Raw, tal como has comentado. Pero lo que se abre en PS es un archivo TIFF que es igual, es decir con el mismo histograma, que el que se obtiene generando el archivo TIFF con Archivo--Convertir y guardar (esto último entiendo que es lo que tú llamas hacer de Camera Raw en formato manual). Así que en ninguna de las dos formas se obtiene un histograma igual al del CR2.
Por cierto, de los histogramas que he mandado, el que corresponde al CR2 no alcanza el límite derecho (en la foto original sin tratar sí lo hacía) porque lo corregí hacia la izquierda para evitar que se reventasen los blancos, hasta que desaparecieron las advertencias de altas luces. Lo que no entiendo es que ese límite derecho no lo alcance en el CR2 y sí en los TIFF.
Muchas gracias por tus rápidas respuestas.
Un saludo.
Basajaun74
09/09/18, 10:41:46
No entiendo porque todos acaban en PS, es decir, desde la optica de un principiante en el tema del RAW y el postpocesado... Es aconsejable ese paso?. Veo que no hay gente que solo utiliza unicamente el DPP, sino que la gente o al menos en su mayoria... lo usa como un software puente para despues seguir en PS y otros. Es decir que el DPP lo usan para obtener el primer algoritmo de la foto y despues trabajar con otros programas de edicion. Es correcto esto o son imaginaciones mias?.
Un saludo
Miguel J
09/09/18, 11:50:15
Hola Besajaun74:
Primero, creo que no has entendido apenas nada del problema que he planteado. Fue efectivamente cuando pasaba las fotos de DPP al PS cuando me di cuenta del problema de los histogramas. Pero después observé el mismo problema entre la foto RAW procesada y su correspondiente TIFF obtenido al transformar el RAW a TIFF en el propio DPP. Subí hace tiempo un histograma de una foto RAW y el de su correspondiente TIFF en Google Drive y puse el enlace en este foro.
Segundo, llevo más de 10 años trabajando con programas de revelado, tratamiento y retoque digital como DPP, Lightroom, Photoshop, Bridge, etc. No creo que me puedas tratar de principiante, aunque tampoco me considero un experto. Y, en mi caso, el Photoshop lo uso para retoques y tratamientos especiales de algunas de mis fotos, ya que ofrece muchas posibilidades y variantes que el DPP no tiene. Así que, en mi caso, las elucubraciones que has expuesto son imaginaciones tuyas.
Un saludo
Basajaun74
09/09/18, 12:04:48
Buenas.
No se en que momento me exlique mal, y por ello te pido disculpas. En cuanto a lo de principiante me refiero a mi persona y no a nadie mas. Desde este prisma mio, propio y personal como principiante.... me inquieta ver que la gente no usa un solo programa com el DPP sino que utiliza en software de canon con un camino para otros programas comerciales. Reitero mis disculpas si en el anterior comentario me exprese mal, pues como he escrito, en cuanto a la calificacion de principiante era para mi.
Miguel J
09/09/18, 12:21:51
Hola otra vez:
Disculpas aceptadas. Yo también me disculpo por haber entendido mal tu frase y haber pensado que era a mí a quien calificabas de principiante. Estoy de acuerdo contigo en que en gran parte de los casos el DPP debería bastar para revelar y procesar la mayoría de las fotos que obtenemos en muchas ocasiones como viajes, vacaciones, eventos familiares, etc. Pero en muchas ocasiones, programas como el PS ofrecen posibilidades muy grandes para retoque, trucaje y demás cuando quieres mejorar algún aspecto de tus fotos o ser más creativo. En esos casos yo sí uso el DPP como software puente (necesario para un buen revelado inicial), como dijiste al principio.
vBulletin® v4.2.5, Derechos de autor ©2000-2026, Jelsoft Enterprises Ltd. Traducido por mcloud - vBHispano.com