From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.3 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=unavailable autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id BF652C433DF for ; Thu, 15 Oct 2020 23:50:53 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 799452074F for ; Thu, 15 Oct 2020 23:50:53 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1728367AbgJOXuq (ORCPT ); Thu, 15 Oct 2020 19:50:46 -0400 Received: from mga09.intel.com ([134.134.136.24]:47117 "EHLO mga09.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1727023AbgJOXuq (ORCPT ); Thu, 15 Oct 2020 19:50:46 -0400 IronPort-SDR: aso7r7zUdNoA8RD5roIJBbdDRoXoKHJWKOQ/9snbyRgm4CcA8+lEIECEBRrGPTqcMIinBYySCs U6zQP2YHrpyQ== X-IronPort-AV: E=McAfee;i="6000,8403,9775"; a="166592011" X-IronPort-AV: E=Sophos;i="5.77,380,1596524400"; d="gz'50?scan'50,208,50";a="166592011" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga006.fm.intel.com ([10.253.24.20]) by orsmga102.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 15 Oct 2020 16:50:40 -0700 IronPort-SDR: V+k+nevSt1McsUR3mn7queiaZSKbMmO78MaN0tNVDwB2v4lIETx69jPqOJ/KYg5wXRqgh3vSfp nupPJPJYOcPQ== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.77,380,1596524400"; d="gz'50?scan'50,208,50";a="520961321" Received: from lkp-server01.sh.intel.com (HELO 5003fa193bf3) ([10.239.97.150]) by fmsmga006.fm.intel.com with ESMTP; 15 Oct 2020 16:50:38 -0700 Received: from kbuild by 5003fa193bf3 with local (Exim 4.92) (envelope-from ) id 1kTD13-00009M-Jo; Thu, 15 Oct 2020 23:50:37 +0000 Date: Fri, 16 Oct 2020 07:49:59 +0800 From: kernel test robot To: Abhijeet Badurkar , wg@grandegger.com, mkl@pengutronix.de Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org, linux-can@vger.kernel.org, andreas.geissler@duagon.com, Abhijeet Badurkar Subject: Re: [PATCH v5] net: can: Introduce MEN 16Z192-00 CAN controller driver Message-ID: <202010160751.lNyADAMs-lkp@intel.com> References: <20201005112033.21438-1-abhijeet.badurkar@duagon.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="7AUc2qLy4jB3hD7Z" Content-Disposition: inline In-Reply-To: <20201005112033.21438-1-abhijeet.badurkar@duagon.com> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-can@vger.kernel.org --7AUc2qLy4jB3hD7Z Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Abhijeet, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on 549738f15da0e5a00275977623be199fbbf7df50] url: https://github.com/0day-ci/linux/commits/Abhijeet-Badurkar/net-can-Introduce-MEN-16Z192-00-CAN-controller-driver/20201005-192132 base: 549738f15da0e5a00275977623be199fbbf7df50 config: openrisc-randconfig-s031-20201015 (attached as .config) compiler: or1k-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.3-rc1-dirty # https://github.com/0day-ci/linux/commit/267876771a434b2be3278c2c87d36146c0fac77d git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Abhijeet-Badurkar/net-can-Introduce-MEN-16Z192-00-CAN-controller-driver/20201005-192132 git checkout 267876771a434b2be3278c2c87d36146c0fac77d # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=openrisc If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot "sparse warnings: (new ones prefixed by >>)" >> drivers/net/can/men_z192_can.c:1057:17: sparse: sparse: incorrect type in argument 1 (different address spaces) @@ expected void *addr @@ got void [noderef] __iomem *[assigned] dev_base @@ >> drivers/net/can/men_z192_can.c:1057:17: sparse: expected void *addr >> drivers/net/can/men_z192_can.c:1057:17: sparse: got void [noderef] __iomem *[assigned] dev_base >> drivers/net/can/men_z192_can.c:1071:21: sparse: sparse: incorrect type in argument 1 (different address spaces) @@ expected void *addr @@ got void [noderef] __iomem *dev_base @@ drivers/net/can/men_z192_can.c:1071:21: sparse: expected void *addr >> drivers/net/can/men_z192_can.c:1071:21: sparse: got void [noderef] __iomem *dev_base vim +1057 drivers/net/can/men_z192_can.c 962 963 static int men_z192_probe(struct mcb_device *mdev, 964 const struct mcb_device_id *id) 965 { 966 struct device *dev = &mdev->dev; 967 struct men_z192 *priv; 968 struct net_device *ndev; 969 void __iomem *dev_base; 970 struct resource *mem; 971 u32 timebase; 972 int ret = 0; 973 int irq; 974 975 mem = mcb_request_mem(mdev, dev_name(dev)); 976 if (IS_ERR(mem)) { 977 dev_err(dev, "failed to request device memory"); 978 return PTR_ERR(mem); 979 } 980 981 dev_base = ioremap(mem->start, resource_size(mem)); 982 if (!dev_base) { 983 dev_err(dev, "failed to ioremap device memory"); 984 ret = -ENXIO; 985 goto out_release; 986 } 987 988 irq = mcb_get_irq(mdev); 989 if (irq <= 0) { 990 ret = -ENODEV; 991 goto out_unmap; 992 } 993 994 ndev = alloc_candev(sizeof(struct men_z192), 0); 995 if (!ndev) { 996 dev_err(dev, "failed to allocat the can device"); 997 ret = -ENOMEM; 998 goto out_unmap; 999 } 1000 1001 ndev->netdev_ops = &men_z192_netdev_ops; 1002 ndev->irq = irq; 1003 ndev->flags |= IFF_ECHO; 1004 1005 priv = netdev_priv(ndev); 1006 priv->ndev = ndev; 1007 priv->dev = dev; 1008 1009 priv->mem = mem; 1010 priv->dev_base = dev_base; 1011 priv->regs = priv->dev_base + MEN_Z192_REGS_OFFS; 1012 1013 timebase = readl(&priv->regs->timebase); 1014 if (!timebase) { 1015 dev_err(dev, "invalid timebase configured (timebase=%d)\n", 1016 timebase); 1017 ret = -EINVAL; 1018 goto out_free_candev; 1019 } 1020 1021 priv->can.clock.freq = timebase; 1022 priv->can.bittiming_const = &men_z192_bittiming_const; 1023 priv->can.do_set_mode = men_z192_set_mode; 1024 priv->can.do_get_berr_counter = men_z192_get_berr_counter; 1025 priv->can.ctrlmode_supported = CAN_CTRLMODE_LISTENONLY | 1026 CAN_CTRLMODE_3_SAMPLES | 1027 CAN_CTRLMODE_LOOPBACK; 1028 1029 spin_lock_init(&priv->lock); 1030 1031 netif_napi_add(ndev, &priv->napi, men_z192_poll, 1032 NAPI_POLL_WEIGHT); 1033 1034 skb_queue_head_init(&priv->echoq); 1035 1036 mcb_set_drvdata(mdev, ndev); 1037 SET_NETDEV_DEV(ndev, dev); 1038 1039 ndev->ethtool_ops = &men_z192_ethtool_ops; 1040 1041 ret = men_z192_register(ndev); 1042 if (ret) { 1043 dev_err(dev, "failed to register CAN device"); 1044 goto out_free_candev; 1045 } 1046 1047 devm_can_led_init(ndev); 1048 1049 dev_info(dev, "MEN 16z192 CAN driver successfully registered\n"); 1050 1051 return 0; 1052 1053 out_free_candev: 1054 netif_napi_del(&priv->napi); 1055 free_candev(ndev); 1056 out_unmap: > 1057 iounmap(dev_base); 1058 out_release: 1059 mcb_release_mem(mem); 1060 return ret; 1061 } 1062 1063 static void men_z192_remove(struct mcb_device *mdev) 1064 { 1065 struct net_device *ndev = mcb_get_drvdata(mdev); 1066 struct men_z192 *priv = netdev_priv(ndev); 1067 1068 unregister_candev(ndev); 1069 netif_napi_del(&priv->napi); 1070 > 1071 iounmap(priv->dev_base); 1072 mcb_release_mem(priv->mem); 1073 1074 free_candev(ndev); 1075 } 1076 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --7AUc2qLy4jB3hD7Z Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICAfXiF8AAy5jb25maWcAjBzbbuO28r1fIWyBg/ZhW1+S7AYHeaAkymYtiQpJ+ZIXwet4 t0aTOLCd9uzfnxnqRkpUtgW2iWaGt5nh3Ejm559+9sjb5fi8vRx226en7963/cv+tL3sH72v h6f9f72QeylXHg2Z+g2I48PL2/9+P77uX06H8867/u32t9HH0+6zt9ifXvZPXnB8+Xr49gY9 HI4vP/38U8DTiM2KICiWVEjG00LRtbr7cDyN//r4hJ19/Lbbeb/MguBX7/a36W+jD0YbJgtA 3H2vQbO2n7vb0XQ0qhFx2MAn06uR/q/pJybprEGPjO7nRBZEJsWMK94OYiBYGrOUtigm7osV FwuAwNp+9maaWU/eeX95e21X6wu+oGkBi5VJZrROmSpouiyIgBmzhKm76QR6qcflScZiCgyS yjucvZfjBTtulsgDEter+PDBBS5Ibi7EzxnwRZJYGfQhjUgeKz0ZB3jOpUpJQu8+/PJyfNn/ 2hDIFcGlNLOVG7lkWeCYaMYlWxfJfU5zg3UmFBsHKja7WxEVzAuNNbtsmSO4lEVCEy42BVGK BHMnXS5pzHzHrEgOGlzLDeTond++nL+fL/vnVm4zmlLBAi3mTHDfmL6JknO+cmOCOctsbQl5 QlhqwyRLWsCcpCEIvaRDdIuSGRGSVrCfvf3Lo3f82pm7axYJCJJVHYv+RANQmQVd0lTJd5Go xiQMiGzYpg7P+9PZxTnFggXoOwXWqLbTlBfzB9TrhKemsAGYwWg8ZC79KVsxmLzZRkOdIp+z 2bwQVMIkEtgHNk3FtN7MG7UUlCaZgu5Ta7gavuRxnioiNs6hKyrXJqjaBxya1/wLsvx3tT3/ 5V1gOt4Wpna+bC9nb7vbHd9eLoeXbx2OQoOCBLoPls7M+fkyRBUNKOwKoFDO6SkiF1IRJV0T lMxar2SNDQiZJH5MQycn/8Ua9FpFkHvSpSjppgCcOTZ8FnQNGuFipCyJzeaybl9NyR6q2WmL 8hdj7y0a4fDAnABbzCkJO7rT2Fc0pBFsehapu8moFTBL1QKsa0Q7NONpyQG5+3P/+Pa0P3lf 99vL22l/1uBq0g5s44BmgueZNGcIhi+YOWXsx4uqgWPyJaKQwZyGLR8iwkThxAQR7HqwGysW qnkLFqpD3prlEp6xULrNdokXYULew0ewWx6oGF5BSJcsMMxxBQZlROXvwUPq54bgJQ8WDYoo YtkVcHZgaGEjuUaf02CRcZA0GhjFhTEFzQvtcXXHHd8IjAwpGIGAKHsj1SylMdkYrhqkCGvU XlkYAtHfJIHeJM8FcKD12CIsZg/MGhdAPoAmTlYDMn6wxdBi1g+GtJGQd/qNH67cLR+ksjTC 5xytHv7uYmhQ8AzsNHugRcQFugH4kZA0sKxvl0zCLy7bUIcRjS9d0iJn4fjG4GwWtR+llWm/ O7TacUIEISxhzqhKwJDq0UgcO5lbStxBUW+50ht3w6HSYxlQbVTMCM7QYp9AMBDlsbHgKIdo uvMJm9FYcMZNeslmKYkjQ8H0DEyA9v0mQM7B+JgMIYw7ecB4kcP83WaKhEsmac0h116DUXwi BDNDlgXSbhLZhxTEXFcD1TzCvaXY0tIoUIN3BYhS194vcu1WmBoNQ9NSZsF4dFX79Sr3yfan r8fT8/Zlt/fo3/sX8IoEjH2AfhGiD9P6/8sW7fyWSSmZMqBwuypMIIiCsM3QIBkT39LmOPfd GhxzV9iM7UE0Ykbr8MDuDbBovGMmwUSCjvNkqJOGbE5ECNGmZTXkPI8iCIMzAgOBjCCpAWvr jKt4xOIyGKpVWID11kZamlGBnZvVxDyjqWDSyCkxxvJRxmnIiBGpJ4kRd9Th8XxFIdq0Q1zG Mw4eMiFZZ04YjEcxmYFhyDOkcYTbMjdyAYjVgkXZtNcC43LwKAZC61N2Ou725/Px5F2+v5bx mBFt1IsW40UxnoxGbXcQ14P/KlaCKarm4MBmhr+vmaQzSAi5ilD56HnKIPZpez57jHns5Xw5 ve0w0TfHqttqY8xSEHgUjR19G/j4fTyY5XfxIVuagndP0NC1JHPuAEg6xqPREGpyPXKoIyCm mq2dXty0d0bFolkHaJDMwMWJIpRrsyd7pXJOQr4qZpl76yehrlTUQgr3X96+fYNg3Du+1gJq Ov4jT7Iiz3ha5Gnpl0LwjLCHFOOpc/3NVChMsyFF91SGSM5MwTGHGvWe1lqFle1p9+fhst8h 6uPj/hXag5U0FmV6fiKCebnz5pwv+psNBK/TygIUHuL9lkA3xJoPhKmFpAr4orfHEEkQUyKG iKYTn6mCR1GhLGNSzIiaU4HyBkM5M2KBhId5DPkr+KCCxpH2X4anmSnMxooY7H8s7yYda18O h268KUoFfPnxy/a8f/T+Kt3M6+n49fBUppetfXyPrGtEfyAHI1FIMAahhsfWLlkm6K9HnRVb GY4GYbQXYEJFXG64oslTxA82LtFOPQa6qlTmTleqfiDBbCpqA/FCTcnc4U6FRhlB4vDuYOjt VkXCpASv1qYjBUvQzrub5inoSggBTeLz2E2iBEtqugXGRoP8lEBLked8kRsuzEePY2coMpAM tPM+p1LZGMxdfDlzAmPmuxIdRWfgfJw5UIUq1NgyrTXBA0+7xQmDojKFhS6euUIIJFr5nQUA oEjuu6Mh83hGXBE9osvyMEQOgdhoi2j32UND5h3HPgma+nG2PV0OuIU8BXbQMtIwfcV0Iwid MT9ybggZctmSGlF8xCxwa3k7I5rzTe6LJYM2vCmT8rZMYU0OKBkvE+AQLCku0zW7lmqx8c24 vgb70f3ds1HatMZrrKpMx0DVqH7FVpmxVO91U0u1BUY7qivJoSZCCjlMIlY1gV4h/d9+93bZ fnna6wMQT8fnF8PV+CyNEoWG2mB3HAVWcaAikoFgmeqBEwxAn83Kv6Bh3g1LKqYMTUjPNtk/ H0/fvWT7sv22f3a6RohAVZnBGQDwQiHFlMsOW6v6OpMcMyhToWQWg5vJVMzLsqS8u+o08tGQ 2XXeClS6qqAbXZh+LLBH02mAoGgArVA/YTPRmRj8UChVzBnMsRfSlYnUJc4Elg294eYKxd3V 6PamCegp6EQGfhrzgoWV+KLbL32+0/hEAqaCxyTO+Mzw6PDRrVAhiEBQIu8+1aCHjHMj7n3w 87DdBQ/TiMeWC3zQLpYHzqnpqEczFcOjRSdJr5lOBa5ZF4yN4CnPCh9M2DwhOq9s9HJY9VpW NmlKur/8czz9NRCQgvwX1FX8hc1ulDfwC7aUJRMNg8TN7YbVgHNcRyLRKb8TC/MuFnTjmA8r l9TyNStrRnhI4mZ81pjvApIs5XRIQJSl5rmR/i7CeZB1BkMwFtjcCUxFIIhw43FdLGPvIWcC 8/wkX7vOZTRFofI0pdbZndzgFucLRt3cLhsuFRvERjx/D9cO6x4AxVIQ94GgxkFINYxkGZqg AWm3yzWBqHAdkAqyGmx3n4fZsIJqCkFWP6BALMhFKsHdB1E4Ovw6ey9YaGiC3GdGAaS2iTX+ 7sPu7cth98HuPQmvpbOkC5K9sdV0eVPpOp6CRQOqCkRliVfC9inCgYAdV3/znmhv3pXtjUO4 9hwSlt0MYzs6a6IkU71VA6y4ES7ea3Qalvl+SNUmo73Wpaa9M1W0NBmmr5gPDuwETai5P4yX dHZTxKsfjafJwOwPuBQt5ix+v6MkA90ZxhSLHO9E4I0HV34CEsTbFjCToPI+hl3IVIZXOyBt ijYWRjfJ5hudFIM3S7LO2SnQRCxWA9bfz95BgiEKg4EVMTwfGzDNYuB8TLmvUEDEZlXcVQJL ZS4bhaiY2GfXCIPk0X3ihkhfTG4+XznR8US5hpEqa4OPGTiY9ivRHy37BAtnrmxAl2i0MZOk Iw0EOVosYWHF59FkfN+O1sKK2VIYTtNAJCWiGSGkQeoML+LYMIPwMTGyBEXiRTsspp0kg81n g1kWhlnnE/M9+6rMenLt5jXJ3LX4bM47E25QNzFfZcQVRzNKKa7/+srwTA2sSOPqF30GBjsj haU4KfG0lJq1KxI0/VpS0zmcK8gOjIQ/TCWenXK8o9Ryygc1JDq1tXSngda/Ll2Zt0FlFsoM eEgs42xgUtd2M/BJdd/F1VbH7G6b0RLpk8D3x8AYvGOSsMC6lCum7GtNtW6XIpHGNqggZcjR B0PalelCQ4vSmb2rKxtRX9d5tmQNGfeiF6M0ljyWtmlGSDGT1hmyhqFjcicf2CyV83Zacyk6 cyhK/sBWHIwV4yloq8TIY4jqXqjhoD8NpDtGre4OaLcj7OPPPkXplEKbJWJd+LncFPZ5rH8f dzIk77I/X+pKrentFmpG3cV5bUAFhxCNgzPlneVV2Vqv+w7CzMyMwwySCBK6F2yelcEHRrGt 9BDgQ6ZmAWYru8Uf49vpLZCUawWjFu7/Puz2Xng6/N0pOCH5MnDaPY1a43SswWTcA4FO2BMI SBwUPlMYhpplBsRFMe13OhO9ZYMhLR7GtxObMKj4Yy1AA4ssJgrvPLgVDcmCT59c50eIYxHD n+b5vJ5EXxyJNZhVbWqwCv53tb5eD05F/kEGDrM0lkfda2kGuAgsM9gIWWawx/B4++t2Zx5S YtM5m47H685CgmxyPV5bJ3z9bpruc+kPdv8Z3TgQ2LKiiXQAZYjAjlhnNaW14MWSSDA5emQn o5LAJ/0hMkoWfWheKp211s6a7NG1V6ouSLkvPzq2VmOAlOV/8fIADZ1FczCu9oUKBIROTwcO QEb6mvd3AyZpHCnaca4tuKBB6PJ9Jol1mxoQESUq1xWLspimlcB/ettfjsfLn95juebHxpy0 LfGMITbCEVXcB6TDinnAfOUWao2VYButXgCaE6FcMFiGsCyQgZpfdbhSI/xAusJxg4Ko+XQx 0Np5FcnAT1dMdIVa4zSH3MGOOT1XkdUgQK66FkxmN+u1E5OIZdxFwDCT0XTd5aqfgXXqQyNr T5XAUMXjHqGaBg6RxzkNiDOJLwmW8M/qSs+4Cyh6qpGoRQUzRwQoLtu5bwc12cjmIogsROZO 0QG5cAoIxR5TaZ2/BtEMo/xx32bXiJf9/vHsXY7elz3MEA8kHvEwwqvyg3G7wWoI1pLx0HwO kLW+xNceAa8YwFpB68/KlumT7rvPRvYcLZhTlzH0uc3sSOs2a0+xrBjpNutH8I0dZZHpdVjU K9AjDHrpxBAA7DoEms0L9xOENApajYAPCKhnDLMwC5ia6lUB8BzLioYrcF91DALQ054w0/32 5EWH/RNeMnt+fns57PRLHe8XaPFrpWeGqcR+lIg+3X4aEXtW+IihMyM8rhk7owXERmamXAEK NumwJEuvp9Nexwgc8K8t3tnXpLDtMcLtDVtDbFfcQMteremU+ztzlQY1Z1RfhiXM1VmFGe4u XWcOnSiB/TXLabQS6bUT6KBWt9fzyAw3/qWCGLUKSSC1cxV8dG09Mg5F60phH2Lf0g2BJ/qY zTiFEhx2VhxbJisiLOZL55EKVXPFeVynrnVs0Esw6kUEaPKN88cgCZgVD5QQfTGlCFg/ss2C j7vt6dH7cjo8ftM7qL3HdNhVI3q8ezibl5c65zTOzPNxC1xk4OOtp1pLlWSRxYoaBjlgnrpN AtjiNCQxT92V4UyUY0ZMJCsCQZV+PdZbZ3Q4Pf+zPe29p+P2cX8yjplXmjnmKhqQPnoM8YmE cWS+VoI0oxnLa1vhAV2PNU60ebGiVY+G0n0Np9L47ooaj0SAG5gw1KfzVolVX9oxsU6mVrG5 YMuBenITvIuBgn5JoKPfsptC0ASU3nV+mxT3XBoldXPCugciN2lQ96MfuDm6KdvXRLTuqd6I 9cXVLK9zjhYp6My6TlB+a7PThUnzlnoDSwwzVwFX4x4oSRjvD2K+nKthU8Pe6bt9c9A1rYiR qVOIimgalMfj1Ew1BzZwmWm8nfseM+FrRQ2Hk8wZVn5MG2u2a0IJDnYwUNyYFb5SKnrv9FIp TbuE3xhEYnbBnBeVNIVkIqpIeq1zfz3cOlHGrQP4KM9q6qJNe5vodXs6WyYVaYn4pG8hSbsL 44ZWF8UjFxRkpp+VvIMKIaRF9m2qe2sfx4MdFHla3TC376D3CfGWKE/jjdNu9NeuWZLDr15y xDtM5WV+ddq+nJ9KJxpvv/eY5McL2EidZZWLeLYnp4GFcFXjImVFNN2vQqzsc2mAOXoRUWj3 JGUUGltIJjZaS4xnnbln5UMpC6ZfD3eW09xPgx1ZVm173kaQ5HfBk9+jp+35T2/35+G1n81r jYqYPd4fNKRB+YTXgoP5KmqwNRnoQdfmub6o57wsqXCaGb6PWxT6gVxhXFt3YCfvYq9sLI7P xg7YxAHD1BzLK89dDElCqTdsb23g/V1HbDU6V6wjV2B9B8A7AOJLsE2mYXtHXOVtte3rKxaa K6DOHjXVdofXwTsy5RhXrpFveIAru1s1m29k4rxspbF1BNeDFSTl6QbipH6PMcHHds7d/qOp ly8+909fP+6OL5ft4QWSY+hzsAaF4+FTxCgm+tTDmkiDKN9n4N8uYJH74odNzp2Ht1r7gnk2 mS4m1zedjSnV5Lojehn3hJ/NeyD414XBd6E4ZLRlrm9eq6uwVOjb4IgdTz73LN6kdDdlrH44 //WRv3wMkMvDJwOaATyYTZ1i+7FEyrQYQmNbNgjRsV1XNmCuEDfAZt2MBpBZrfDwRB8rPP+A AMxqYG9yvBCEhN2xzca+fVJYmsvtP7+DM9o+Pe2f9Jq8r+VOBAacjk9PPQ3UHSZrFjgmOcvM AlYDNk4UeuyCYBsfcvYxBMSuy9qlGTicd4554P86VYUGFzK54Cn+eYUBxkM82bKszmVRqnrE OAtD4f2n/DmBZC3xnsvri86NqcnsZdyDz+SG66iG+HHHvUnyTs8VUF9JvtJ3XcB9Slshcr/j 3wBQrGL9kEXO8SZoZ69pAp/61Z8ZaZ+t17gIHK599bdCzOKcukbrPAdA8HwDqVcZ29aBtDI0 mUfWCXeEdzXVwB83ASxeS8aHCGYHBSUi3rhRC+7/YQHCTUoSZk1AX+8tC50tzMoUeFRdU22/ oQEVSwxKzFvTJQKvMVgwrD9YL7khqtHv8547gIKsP3/+dHvTR4AhvOq1B5WAKNRYTPX4warW V+8h0jyO8cNdra+I8EbAuwSh8IcfVehhfoDvuc46tQkhJsAD7CBcunsA/6UZiWUbJ0F1R+FH a+ysoDTty4R68u319Xi6GHVNgNbm3QSVd+yI/uMHbZkOMfNV4ry+rpER8SEplp3OIrvYhyBF xKx7s6e2VuZEGzvZTzAh6JJgIGBny2m8HE2sHIaE15PrdRFm3LXLwjxJNs3fk6mTgUDeTify ajR2tAB7HnOJZ2y4J6psvx0tC+Xt59GEOB90MxlPbkejqXE/SkMmIyOjqBaj/s/ZtTW3jSPr v+LH3arNWd5JPcwDBFISY95MQhLtF5Vn4tqk1pmkYs/uzL8/aAAkAbAh5ZyHXNRfA8SlATSA 7gZH4ljzT52A7cFPU8MLaELExzceZql8qGkSxtrdbT74SaZp0jCf8MrwtbQLVbAC4xOWKCvy CI7HfK+c7wptwexOHWlK058jgCG8EsWi4OtHffdmC6Ok81EQaPPAQoz1oilyVewJxTVCxVGT MclS3PBMsWxCOuLGrzPDOEZXOfhW5pJtDl0xYP2gmIrC97xIXzatlpDBhV7+fH5TPrtfhSv8 2+fnH1xpe4cNNPDdvXIl7u4THxVfvsN/dTWQwRYHHVf/j3yxoWaeWBmIdapPwHqUwI6rq1Yy UP7+znUzvkxxpeHHy6sItLYIxDLhtR2cGqEVupaF1kH0gIdpAOejS8+G0b5QWfY6+rwjNzZg GKUU55X4Cq/AujXmoZ6UOYTpQp2VIYHWlJA81/1jBEWcfu1mtyxRAvVp6TT8N95h//7H3fvz 95d/3NH8Axeov2t3/GpJGHRLmUMvaabRw8SJhp+ZkuyN8T1RUWs9Ufx54tTmOqDz/8NBPDPm UYFU7X6P28YJeABbD3GAazQJm4T4zeoQUCtFB6w+tKPrnjE5SvH3te67DBAhT2T/dUWvyi3/ R28wLQl2CjHDEH3OtPKQUN9pdZm2dlb1V815FvfIrs/lB1sED5c+J3TVXJx+6PiOy53RpdA3 cBORVEeyKq81hqY0MibRlAGoQ9ASxlLLaVxD2rbgI973aGwM4BEu0FZenWhQOb0sO8G7/355 /8yz+P3DsNvd/f78zvcri5WRJk2QBTnQEtn6CTItTsQiPbR9+WAXHz6DTkios4pQlFY7cEb5 miO2Irg5PYd3ZVU4ItQA3A2WkaeGwY2SpjVMRrSqMHo55AhZa3OTricMBczLkWaqjhEsqcld EXOEsoYiYL6xP1o2KsvE/3AkVfl0xbeNFQ5NvSYUzOhRrOyc0Gl0IXBbdMLvG7ekL445viXZ O7woePn49thVL5ha2wr/GjviBeT0y0n0jIgv6Uh9urEvcRnrN1XtCKghrK1dIOkd/grguyEv 5kw1HMhOaQHU5YQjLV1kjitVJf/CVaYvv/4B+sXAJ4vfPt8RLQyEdnSyhPz4ySSzgggRMYz9 N/TFqWjytr+EtDW8YNTxbUjjFPddWRiyjcMeQWVNKkLhZJUa+zyluLHBZc0wpa7Jk+6CbEA5 UuSmphVqu6yn5MO2YSXBs+0pTj/ylcDwppEUvlfPMtwSZ0ksw3uabbyN8Kbd0hrGssOy4HFg RW1vedYfnM4HsZpQcir1UEg6JLzAjVrui7psyll88PkTH0NaxsWTite6zJ2Ccmm6gc81DeGf AZMIu+LrnHbHjyUbjkjX7+rTRz9zudOq5Pu23Vd4uxyO5FyUKFRmfKs/4pAwb8WQmvRcKTLc d+tTjZv468l4GtK0RnyiuhqHs1jS8Mm6GneY0qTnWtLedCW+H7IswuMXAhT7VyD+RZeNoPa9 dtXnDQ2yjwke+ImDYxBx9MZYEjkPXCrRRm8Ic2MF69umrfHub4wgrVzkx33xfxPNLNx4iFyS 0TVuFENnr0FLm7BDi8btXT7a8e0xBIND6wT6CTgZ6aV6oCT1PM82g1vhToPHBwoHDS5n1b6+ 2U49b0rYtWAl7sE1qkehgdTD0fSBGMb9trCPMpGURfGAZ9lWpN9VpMdFYqgHinToUNONTzf4 2IE0G9+/MQ1xnQRu40d8OR6YEHKjpqzmLf4TVX1s2o6vEobF2plexmpv9dg67ak0Zn7+kyN8 A1AyLECDlvBcPlnRGiTlco5dYd5mhvDWeJdHgXrm6nCQjKVbDBVPVXEV/GbFx7LHFSAAgs4R U4rP5MouCx/ch0fLNlk7F4LJGObSzSZ2hOvtKkf0iK7D6YOVQCiLh29v7x/evnx6EY4t06EO cL28fFJG5YBMPmvk0/N3vi1dnzxxJuX9JnVibYMGECUM7wcA7/m66tDqAe6KPRnsAzgN71mV +TEuRguOj0bA+WqaZiPueQU4/+OafwEuuwM+6s6V6Xc2mfpfzqivDrDPymRes0K74jMw80aE /3Ta0pvJal0P0SFN+0RQyjfYLQ5Zuo0N9UNpaBRwkIJaiegJF60IA4u8JM6W0XUKBO6Jsj/G sAJ2HC5QPyPVAd0aU6czB//TY64vazokthxFY+rWapbpySPiwHf+UpOR//3j5fXl7e1u++Pb 86dfIXzjck2liR64dJRB5Hm186z5ZoZafjfc3rGtsYbuyH1R4VOfxkVYlvS7IMRHtsZYc67o Y3STj9IgDm5yEdvRDGXKd2ng0I71ktE+8PD5W+M6nIcSPwUSQXcQ03rt8Ct33IRat6aXzrqx VVcg3/94d94mlE131CRc/BSehjZtt4MLetuNSWLgZe3yAJcc8m2Ne9yATLLUhPXlCCyT4QrY dr6CcGIOpipRCxEXi5N26WnQwV/iONp1mdGBr8FFcxl/8b0gus7z+EuaZHa1PraP1+tdnG7h 1qyudZnLe0KmvC8et630olg2ZorGRRdfiTWGLo6z7GeYsLOdhYXdb/EiPDDfcyzYBk96kyfw HbvFmSdX8RL6JMNvYGfO6v7eYVYxs4Ah1m0OIfOOsJgzI6MkiXz8RldnyiL/RlfIwXGjbnUW BuFtnvAGD18h0jDe3GCiuLK2MHS9HzjODyaepjgzx6HszAOhOuDQ48bn9m2V78rhoCz4rzMP rD2TM8EPcBeuY3NTWMqHIQlu9EvLpzT8mG+RgTq4sPZID1YcPITzXEWeY7mcmUZ2s+CUdHyD ipdcmwCv4Hzug1hi98j0IBlE3CxtbZG/hT5NaEGJ5umgQ2UHShoG7RltUeBAGq6t7FHsfst/ GHdaC4bsOkwm6afBVSGuOUf2KiI6TK4OWiUXItypw/sXpWnFo3NkWVdnCWpUo7ORfEizSLNl M8E0S9Mr2OYaZjopIrh0hUVx6qoW6fl66kPW+C2Qzgpblks9YsdFBt+RT7nlSMseb+vtMfA9 P3SVSMABtpTpXLCvaJviUtImC/0M/xJ9zCiriR95hlStOPa+jw9Tk5WxoVud6jo5I8uKDuOw 7GMwFte5n86bk41n7qgxpseGcDF3fe9A6m44lI4ja52zKBzxKg2mPanIrcEimSbvK7QLi5GG nv48gw4ulwsIuG/bXI+RalS2zIuiw/umrMoAgiegCYdkeEwTH0+5PzZPhaMa92wX+IFj7BfW 0YSJYRcQOoeY8i7nzPN8V+dKFmuQI3xcn/D9zPPxSnBFInb2RV0Pvh+5CsBnjh0ZIKYkvrwa vOLHjZKW9ZgcqwsbnDNb2RQjenljfOs+9QPHklA0wmXY0WU532exePQS1/fF/3t4E+VGGcT/ z2XjajsG3kthGI9Q25utJ2fem2znnGXpOP6ETJy5HuqPrlqK08S2hkeb2K15saZ+mGYh3tzi /yXfQbjwgYqJonXCgeeNKzuSNQ/2WteaK76eSXojk76+MKcqMZRV4YjqarINP7UuD8wPQvzs w2Srd2gsUYPp2O+4xhe6dYlhzJI4wjHWDUnspY6586lgSRA4uvdJmmeh2fbtoVZqgSM11+3l ha+tGJcDJt59XdqrsyAZCpagGM0gKfXWouw8rVQTRcmqyRnkyjzW5vf9FSWwKaFxWalo6NNz AorjybLt8Pzjk3DjL//Z3tkGkeaIEj/hb/WQ0nJbIYCO9NZuxYCrctsNwTpZT86odEpU2Zbw lM6MOQbuB4bdpEzbUzuhzdFtrzPIEwL040erdfakLqzHqhTl0gxxnCH0KtINHbGeWGyXkbM/ eWj8+fnH829wzbPyeGDilZDlCtAVKX6TXTr2qB0USit5J1E9zhrEs+dUJSI0w5uO6oUZ5db5 48vz69pVTG3GhI8SNR5LkEAWxJ4tJ4qsPQ55xeVYT+AnceyRy4lwkhERQGfawQ3IPY5RaR7n LBD6NKSRgW7rq9FrsehtcbDpxZ299lyEjvbwsG1dzCxoyYqRFU2ORprV2cjQwdMNJxXvB6+k e4jORWJBhtrrKCaIULDYwUoXo2+/f4C0nFsIirjOXJvJy/Rc+Qx9D5MLiVz5NNSs4grIqqUn YGlt3+IwXyfRiJpYmOBQ7sqTi+xORWkzdkjzD9RPyiF1HPAoJjVJfmRkbxt6oIyiq+0iaBg0 qXhEaSV9OtOWHPOej8RffD/mSo+rVIKXrm1MTeZyNyZj4q1Kpa7+u2EqtP0Vk+H2hwyTwIXm 7BnAuHjI5vBXn98N1aXqnOY1OlfZQGzUW6wULElECJ1yX1I+n2IW65PkixiqYayvItaka6eg rK+ki7Jd0UZ6WORGQCe+Gc4rTe2ZT2eZ/gKVTlWup8isCWFAMfcw4YYJ+ek7HPmYY9lgp5KH 0xSMZ1UJ8XSWGaFAQ0Tl+ZccJpdQevsl2YWmwuvNa56g6rG5q24tRF1n3Gkpu2ekccqunp+e xw5iu3qr7FPkbT3o4XqDHc7IM6IqwhbcS9/9hugJSxs9NlRcvTguAyDKF0ThjlxBbSc40n0U aR9Eo2H9301mFeidtrOkU468Aaw3dTnlnpPQQovnQdwhpBjlfzo8KZ9UqkeXH9la49K/CX3A xfc4MPHijIyktb4Y5Du39RWuHu+J/7iIE35woDckJaDqDUNMTgAUD8WezKxqcXkq3WP/eH3/ 8v315U9eAyiHCBSBFYbPfVupAfMsq6qAxxe/WplO4Q6M4km69RrOiqNiNAq9xFEL4Ogo2cSR v6qJAv5cl6Yv9lhh6mqkXZWj3Xm1OcysVNA00HMdpeb7v+Psewe5kdd/ffvx5f3z1zeraat9 uy2ZWTUgdnRnVksSDZcoK+P5Y/MOAiJlLT26SNxfb+8vX+9+hThaKh7L375+e3t//evu5euv L5/AiOyfiusDV84gUMvfzXJTXj8rxAWQ8wKeyBbx7+wzFgseKoJGYbPYZl3RaCBz4ZooF/kO T9l8tCKBAUMr7hzN0vLmdHxgKGtWWKNQ2Sx+nd654yP/d77CcuifvLt5Wz4rO7tP6ygrolZl C7ZDR8dhjWCpGod5CpRWRjZwtFnfblu2Oz49XVquY5r1ZKQdLsXJqiMrm0cVtFMUtX3/LEVf VUcTD7sqOzvOvyaQqPAZbcuOW7N8QhasDgCScoBeS5F4ONdlOL+wwJC5weJ0EtYm5rlcejg8 Cg9zcIoKvaX5yp9RsnR/XlbarnRaAAKmkv9l0MSaJ7fUXXlXP7+BtC0uiWvLEuHEKtRvMyew soV/+VReNoWJ8dloSyyLbCAfGagbFWY1DPjKOUXWcBrIFv1seSxLmgpMaDaSa0gAuJJDDYMQ r6Bo45FhgcOcvoBS1al3qSpzAya+swpYa+CtHE2O74D5u7BwtHLle7qsHBIPPdICXG4hjRKa wYaAMtq+AIIo5ipHvk+PzUPdXfYPxrmlkIt6Dh8lJExbEtf7cSjNcdT5ux/f3r/99u1Viaap WnZC5FzWU6L1Z3/RwvEcIHCxqkiCEVM/xSfUVGJ+V0wmcFJyLZXywxIvYvZtZbbMKjiOCLY5 /zoM5g9DZZPnq1xUzThSC/n1C8RV0F7jBkd3rr3p+wfDOpv/XM8eUsvvhik/LC4CJOQaPri+ 3EN7YHsMjUec52mhOhZkCdOD5W2bXM1F+5d4D/v924+VXtKxjhf822//RovNuosfZxnP33Jd lmuxiKZ+p4zzwcDQ9YwZhF9/e3m540sdX64/ifiTfA0XH377H90Vc10erThlA1tIpO2g4sZ7 zYog4kVBXBwVUCr253fI252lzkxJyv7BtIuWK9aaWb6ZZNFUoFmLKkzBvGULIGNtfX3+/p2r fKLXVqe0Il0ajaOcnr8adLW4mMRVHDNBzc+k21q0HYN/PPOZar346GsvBl+PtMehOhux3wSx avclPWEXPbJltlkypKNVwLponuBC3mpvUpM4D7gctNujlYL3BdXPsgVxdncx2q7OLzt60OO6 XOmPWXkX1Jc/v3MxX/eTMgNdNaeig0yhE6tiajBrXtnOZ94VOSpNnt1mQA3GVRkU3S6DziL2 c+E6qaJfL75gclifKoZdFqfYqihg1pU0yJQsamqg1eBy4OzydUdYrdmXT22DXQoIeJunXhxk Vttxqp8JqpmZ03ZnQeN1Ikt1MkZDl6WhLe1AjJMY6c80CbxV/hJw2AQLjp7GLM5Cd4vDTXCW WB8U5EA311rIWWIPI0He+B5ODuy8H+pRfNAsKGKFqcPKusFOBWS7+tNIXgvIrCZdHcF8pvWT CGvr0N+gHojaUPTXg46GYZY5K9aVQ2s+FCfnqx7M4XCzYpmtiNKN1hypoTT+H7bYkFGpENQe T/t9X+wJQw/CVaHo/VGz1zobzXH2QbNb6Q7+h/9+UZtVRGvliaYH8YYg2mDtaLJkgfXNGfPP +BnjwmNrTSuGYV/qqwVSdL1Kw+vzf/RrYJ6PUoQPRV9bxVQasOsMdeaAOnoxXkqNI9N7wQBE UHD11ADGoVv2mEkTBxAY753oUObh3gNGcnTUmxy+ozZh6AQuVL9fMsEMB2LdnFAH0szDv5Nm Pp4iK7zIhfipvsCZsjIr+u0ZzjdPxgWKcBGnHX6KLlNA6E/sgEqiw7HrKsMUQadfeR7UYHMF kuxyIhm1GV8pkSSn8H4oH0KPWmBWMmabIJ7TLNIhJvsLyOgRdXyUuEz3l06NvZm6XC/AwxGC imSlCjWbjWvHSweIjdQLxc3TTUmnJLSjpEPI58DzDbO0CQF5STBZ1xl0STPomqAZ9MAIBaeQ qti3l+KErfsTy7A1X89S1eVkVAJkyIYVbmW6fQjS0XgXzQRsS2obPuS4emnz5exy5OLGuxa8 9K41qVDb1uUBC9rUMw3OLQzT3AyWwEfExS1IXPnlgmS+DTVh5dDBJ7EbPcUhBotuwTYBSnFa A6BL6huniW5u15b8Rf8i2bAwif11dfKCiUN+0RZRoodl18os1FMXsglRJNtsUheQrQvIZSLy 4xFrVgGhOoPOEcSpK3EaYiutxhHLLyNAZkYtmcdXvQ0jzCx1Eq09Oe4LuJILNhEy5qcbfkxw exZ7ITbmp4/3bBMJg0OLfqSD73kB0rb2HmkBNpuNbl8qFgXtBA5+Xk76I8KSpK4O5LGKND6S gfuQi445UG6ehj42ODSGyNfWW4Nu7OUWpAaHGof9h86DCYDJkWAfBmDjAHR1Rgf8NEVTbLju hQEsHX0HELqAyEeCF0vAd6RILFtRDUKf+TU5YiTXIUyx4g2U73KxUowQ7r2Zz4WRlGA5h9DZ 2CH5Uf4XKXtQpdp1YwhLBQgHhtU6H5LgWp0hTnPgYxInVyLbjxhjitdl2qU+V6V3OJAFuz1W 1l0ah2mMm2VKDmXpLxzPVlnvq9jPhhrLmUOBN+AblZmH6zq4QeaMB8hH5S1yg331UB4SH90s TBwlHD2e5ePvNsSydE39SCNUuLm62PvB1Z6GB6DIvljnWbX0wNdS0q8FT87qSP9KABn9CjBN 3m0QD+wM4MbDRBHsPXxHJDKdJ/Dx3ZvBE7istjWe6NokKjgSNEK6hLCw7rMEgycUNnMBkHgJ 0tYC8ZG5WQBJhhUEoA22amsMIdcIAzRXjoTIrAsBzuV8h30vSULcYdzgQbVUgyN2fXmDjAdZ 2A2WhHahhxeW0STG3cXmxEWzC/xtTZ17x2XNoOOISHqdhBg1RUrKqSEyHOoUG3d1irQCp2YY NcOFtM7wczqN4ar819jMVNVYL3AqMmlyKlrjTRyEEcoeBxEyZiSALNgdzdIwQcoDQBQgxW8Y ladc5WAYAs04ZXyoIX0KQJrGWENziG+Prwl809E6NR2MlpLusniDz3ldvUVd1qe0w4H5iPBw coBocpwc/rmuMSdTpM3zuuCzAzLzF3xxjjykXzkQ+F6IVZJDCRw/XBVHCKUXpfW1WXViwYRN Yttwk2JLy8DYkMbX866TJMbS8rHvB1meOSJ3LGxDmgU/wZNeKwbhTZVh3Vc2JPA2OB2bmjg9 DLCMGE2RwccONY3RVZnVnX9VugUDMmQEHZmwOD3yEJEDumMmr7vYxzaQE8OJ+QG22p6zME3D PQ5kPqKaA7BxAkG+ro4AQqzlBHJdVeEsVZrFjjAmJlfiiGeucSVBethdaSfJUhwQjX3tp6sj jrs8MZWaz5sup6WE0UPeonZsEJGjHYZya/hTDFvjx/RUrnkwtKU1+V/KnmS5cSTXX/Fpojvm TTT35dAHiqSkbHErkqIlXxgel6vb8Vx2hcsVM/W+/gFJUswFKc8cahEA5p5IAIkEiI8RLFgo kWjKeVBLL7w5ouM5/WiDHuKXejEEZ1rSUWskQlMcoYmIdMfhHlRffrw88PSlxmSG20xzl0VY kvYRCOx0LDJOAKqsTfPbBW0QkJuS28Ub3yfVDP510jtRaClvnziGx/hA57pUSmp5Qe2LVNTp EAGD5MfWSTKUcXgW+6Fd3tJuYbzIU+NY2ht0iaRE53pDyE3sKCq2LnV3esH6jjr4s8ZMuw8K BJK3/gXu67CArCKgpbcZrYTIFJFF5ahjuUv6HN2eQJElXzTzoQKl+yQLKQL4SncXiqm/8seN E5CxWBC5Z6Am2HykBWtcj/7MHUtdGQaFS24mWMAUkknt6yEvFU9+AcnN4GIMihXoy8vyYjBX u4RmZT+klK4ZPflE/NShPgkVvRxWqGiDvkAjz9VKiGIr1Ejx/oqgjEMKGCnAPphkarnbACU1 TY5c9ChxsPI7/gyDzCuJbG2+ppJqGRgmPqyVDBwCQZv3R7m5wvXFsnVnyGw+Wjf8Ajdcp/Py ualarmH2VVEXQnuILFra49jK7wODxIj4Lk9NsYA4mnlhcFKCDHBE6Vs2AVJOSQ4/nCNYqhJz STYn37KuxJbH70DcMrZLcWJDmBRgRBlzxBeNG3tmZob3QXJ8QrnsojyqJTZJUSZkLIqmC2xL vnSZfIlMEZrmkBOm6lc/JKkBEzymy7wQOLZpw2C3FD8rAYyeVj+1Zkh+Txeo5PZ0gUpeTwLU oaGyGU/CSDa8GQMM1BVj/Ew3faSgsuCSY2ZKHXRbBJb3wZK8LWwndK9tmKJ0fVfbo33q+lFs nN3F5UssR7eSclFj8tnT5LAJbAiDI1Iorzw4B+y8sHBoCxXvdOkripeGNqzqCY383tAqjozU BgHUI59vzshJP9BguqAzw7W1M2kSFIwSHngjqes1zl95UBd0ijwpjVow8gWh/I2j9b3rUQ6h NPOZJW41SeA2zWLXo58wttxpSg/3Jj8qNMn/S9WYjapIJkPVWvQCND4TWim27ISRG+qixyuB nzoBvjc+To/Ku2OZGyrCSCZdgw+uF7qrtYLotJP4koSS5S8FFViS+WbFosYTBZS9UqDJfDcW 5lzATBoLXfSigFwtW1tQEmpeUTTqRI6EJv8I82ry6VVIfPPnAc03JCLHpva6QmJTPd4mle/6 4oWggotEd6EVN8soRHMmXeBqcyaSwXfJollXxK5FtghQgRPaCYWDYyMQT2EBox8EAhJEmtCm u8Jx12ePu8CQq+IiFZAFg2hwfQdo0oOAms5CQ5sBGYTUS+uVBhUfXxaFJCRXez4qYfG7oYuI Ao9SFhUa+U5ORsZkaDWFRk78qyA/2HiaH5CKIvmAoOkZBy+mRWSFjL5oUIlE3w8BNyvqSugy CR+Klx8yKhLN7iKqsWFSaVzje7ap100U+R9MN5AE5O4sm09h7JCcADVVKSDaBYPvQDyf/Ihy ghOw2+NdbsptI5ANwPcMEcwVKtLxXqGJDRuFu9viK8OrRXAqDK84YMABsiDzIwyBBmQmaixV RXnFCGqnjit2mCOIPP87+MwKEnprAjJyvOtHNKcJK6psUFp8O3DJNgk6I4lzXBPDmbRA5/oA 6kENVZyogig429xkWR9UcZ7hDFl0xo+bHNuG5beohh8VsWiJVBHGRzWCZIoPKamBURURGWM6 Xfh2KJIN22yoalOVKeI7fUk8K1hrSIGGEQPSOsvJnM4cO8wJa8VvElD227ysybCnDMWdk7/P BK4KMCa5EM0ADGMjAcs0n4I3XKpj6ICPobiopcow802bJ+Wd3GEsfle3TXHcKSlURIJjUiVS 7T0mXGGtNJTL+22JcHoRKlJiS6ZYzjoIAz5VXcl6KfgBopW6Tpv6NGZDpnSlr6lH+OlshVtL REhV92zLxHp4piKOw7cGSnBLXsg+dA0XKjz8/LHo8ggpjSRtwqpun2T1rUomtWGpXzRIiQjM 0twbAhothJusHXiMmi4v8lR6ljE//v38dL/opJgSXryRmkYiKTFy2zoYEhaWRFHvxn4wEWDk sh7n1EjRJphvzYDsstaEWl4Fm/D80YU4h5f3tVqXhaF4eH17pF6fDyzLeVa4K8MNP9A5lI7a lQ2bNRO31BSpyjlr8J9P7/fPN/1w8/oNrQbCrGA5UrZfBGCSqCRLGkzd9bsdrA1D5By2YCxZ VZOMixPlGBupgzXCgM8UPJFzvZNrORb5ZIgQh5Noq7iytGtOPlK4C9apmbJiPf7z4f6rEJCM Q5OX++fXP7FwZEwk8rfPawsIosyEFTsm89AZZDS6XPBsgxHnS8GguqCSSHwSLXyA/4hxgTXU FMDorIy8QEHUBigrpCo8lv1o2QQiPU19VsAlCNoncihwGw9XxmJoQkt0KxXhDlnkromajgrp txBU9QC7GP/r6OXys8chm9r3jmUdyX260GAKj4S+M7/M4Da2DE8HF5Im7QeQfmlb9qU5tw7t U3OZClbl7e489obeDGqqTbWhd4HlhNS3mJu7Yl0yjeHVVg6k10/ZTW1oB3kCNk7qzFf/zagt JBV74RkCTdLZXI0Utv7/4Bb95V7a079SO7p7/fLOg0t9fvzy9PL4+ebt/vPTK727F8ZcovQ0 BwleOM7D69evaJDlLEpntOm5aTHp45a1JY9eZOzkle4rXccR7VhS1WMJEys5El0wLSURDF6x Hnhrjj7pcNKiL2FrzB/h0UpgJ+Zdpr91eI0DRSwhzcSQUthYniW1HfTzTIpWMYHuXx6enp/v 336aDoSk7xOeSF74CN0QkrXuVQg7ZQ7ozFNInlY5kKWWSCUo0sGx4i8+p4J/fH9//fr0f4+4 BN9/vBAN5PQYEq4pxGtaAddnic2jVWvy2gUfOaZ7RJWOvqbUagttY1viSPTplZB54kuZSXSk 4csSOKvogKjiAmPnOZZSSRQiJwiMxduuoc2YcU485ETcKXUsOZaGjPXpKKYyEYY6NTTrVEAJ fncNGxIi/IxPPQ+U5w/HJTk5tviOQF8IdkRjt6ll2YZh4zjnCs69WqNj7FUUtV0AQ0bH75KK OiZwyhqc16R959h++CEZ62PbpW/pRLI2cv6DtsHkuZbdbj8k/FTamQ3jZcgqqpFuLCW1yBpN luBDIoP6/sgZ8vbt9eUdPrmciPyG8fv7/cvn+7fPN798v39/fH5+en/89eaLQCqcCl2/saI4 VoUGAAcm2+eEH6zY+rdBGOFY2ZQ0gwPbvvZVYItLlOszsHFERsNhUZR17uR+TPX6gcf/+vsN MPu3x+/vGPna2P+sPR3k0hd+mjpZJmNw7QWKZFtWUeSFDgW8NA9A/+j+k8lIT45n6+PGwaTF kVfWu7YmMN4VMHsunZpyxVOGeN5Rf297jqIs4KTCaasCN8HEErXl4cTG4qd1QH0UGwVcPAwt 8Z5imStLsqUupE6gLKQh7+xTrH4/M4vMtlSlaUJNM6LXCuVrqgywMHXPaHOrtHQChgRQG31Y e+o+6Ds40RQ62BhaVzCYWaJWPQ0dFxsui7S/+cW4Z+SpakCmMPWUI7XRgV454bXRAayyjfgy dBUgbFhlWxaBhxEpiN55yoBVp55arbCDyAvAZaO4vrIAFnV/Q4NTDRwimIQ2amMAHtOSiNAv ZReihmq7akl5al6NuNfcQFt4IE47VqtPHcA922jMavvCiVxl0U1AdUaRg6qNRwVw3Cpa1V1m w5mLxqg6I1rJXQ0u6zadeb6RseLmjxxt4qfRNLy8FwhMrHdic+HSlARzrf1Svb69/3WTfH18 e3q4f/nt8Pr2eP9y06/76reUn0+g9l3ZYbBUMTeZoeK69e3JTUP6CMG2a1rKm7R0fdUEVOyy 3nWtEwn11QpmeEC9pZ7wmM1ZY+y4jy36ASlfAcfIdxw0cJjlDSxCftswhUDssutsSywjdrQR g90WWVfkHM46HaujK5YP9b/9V63pU/T3oQQHz72E0V1MlkKBN68vzz9nkfC3pijkUgFAHWNo FrRC8oTjqPiynbo8XQLTLjaUmy+vb5MMoy5S4MVufDr/YRy+otrsyaAVF6QmeQK0IZ2CLkhN 2EFfHzoM2QXrKOfDBFTYOmrlrroRumhXEPsAwKTzGC+n34CIqjJE4CVB4P9bacfJ8S1fMapx tcnRjnHk8q7G5fd1e+xc+rXLxF7Tuneo+0b+dV7kVX6xfkx2MAbr9e3L/cPjzS955VuOY/8q BCvWDTcLV7YIPaJRVCFZv9HUGN6M/vX1+TvG5oUF+Pj8+u3m5fFfZk6ZHcvyDOfHFeuPbnTi heze7r/99fTwXY9mnYkZAOAHJiFlY7ZhFLSTnHwRnjXA005Lyg1q6JGIB58plYomaJcXW7y1 EhYA4A5lNyebkL9B+HZDoqbioD1lhxmtm7qod+exzcUAwUi33WAmnLzEi3Mm+vqvyHrI26Qo 6vR3W0zrtBIUecJDLHfmwIFIjLlPRtCEs4s91TRADV6Kyk3ZYURufOZnGAYTDr/r9tAsEjso k9Cl+/ySrw7dvB9fHl4/o2n47eavx+dv8D9MgvFdWjBzlhUQ6gJ52qYMEoUSx3PBYGB6NNLF ZJo0jWq2KgoBaU1tm0SStpQy+8zfiWC5ScMup0KYcRQMsNyzY1aoXWrTpMXg/fuMdFW6kBRD pizBOQvSrjnK8Cap8mKZjOzp+7fn+583zf3L47PMChbSMcHC8raDlUym/BIou2M33lkWbI3S b/yxAkXAjwOi/nFT5+OeobefE8aZPAwrRT/Yln17LMeqCFSmMFFhv6+2aTYskx/nBcuS8ZC5 fm+7tOfgSrzN2YlV4wFaNLLS2SSGZwXSF+ek2o3bM8gKjpcxJ0hci3qVtX7DMFPeAf6JXUmY 0QlYHEV2qq6Xmaiq6gIz+FhhfJeS0uWF9o+MjUUPLSxzy5cPyQvNgVW7jHVNkZxhuKw4zCzP MB95kmH7iv4Ape1d2wtur1YvfAC17zPQK2K6U11SdscK02DGlkcqYmuhQLUBPfOTGPdMRu88 P3TpPlTovlJEoBbuC5sUnVbSekiw9Xyl2+TYCSSgVZKboS5YmZ/GIs3wv9UR1llN0rWsw8h8 +7Hu8QVAnNAdqLsM/8BK7R0/CkffNbyNXz+Bv5Ourlg6DsPJtraW61UmOf7yUZt0zSZv2zMm jlhTAV8dsTY5Zwx2dFsGoR3b1IgJJKBkWnQf27ra1GOL1/OZ+1FDl6XTBZkdZNfXzkqbu/vE oWsXiAL3D+tE3jQYyEvr+voGoihKrBF+4h341rq+BMXPksSi1k2Xs0M9eu7tsLV3JAFIVs1Y fIIV09rdSQwsoRF1lhsOYXb7AZHn9naRW7ahr6yHCWQnUPnD8KMOSrQutWIkkigeDJNWV+cx SU+e4yUH6kmtTuoHfnIoqY72TQ0ShOVEPWxIQy9nGs8t+zy53klO2uxs27Dc+/ZYnOcDNRxv P51217n6wDqQO+sTbqLYiWOqC8BmmhxWzqlpLN9PndCR3Y8k0UD8fNOyTHwKJRzaC0aSLlYF aPP29PnPR0XQ48meUOyXZjbdw5T2UCbKgKKXNJdl58MIQNWUjkyZAJQLRnQope78ua6BiZb3 rMGwNllzQpf+XT5uIt8a3HF7K7cFxcWmr1wv0Fh8m2T52HRR4GhHzQXlKV+B9Ap/WKSE/Z9Q LLYc+qZtwTtkyvEJi8IOOT/9nlUYnDwNXBgbG+QRuU193e3ZJplee4aBdrwreOqFCEEWacXA SbFtPPLV1IzvqsCH1RApYj9+2WS201m2r47a5CwJ+z+pToFLRqRTycJIMv+L2KyhFIskG0Jf DQei7BV9oYsV5H2VDExjTjP4ahwY3r42bXZHQ9d2pe0cXfH2AlNmIWZ/ilw/zMRaFxQKkQ5p TxIpXM/WS0WEJ07RgigZ8ET3U0/V1+ZN0pgShc40wMH9iL5oE0hC1yet57jzeQZ1efHnp8mt F93m867vDMJVXvVcXR8/HVl7UKgwadCUeHRhb9u3+6+PN//88eULZodTHaS2G9Ces0LKALfd TH7RZxEkjtSiwnOFnuggFgp/tqwoWuB7UsmISOvmDJ8nGgJUrV2+KZj8SXfu6LIQQZaFCLos GNyc7aoxrzImx/gE5Kbu9zOG7tUG/iG/hGp6YGnXvuW9qJtOak6Wb0EyzbNRjOiAFSXpoWC7 vWALAmgJJ8VsyuiUBqDWi53tWaVHIJKWwF9LbkbNogfFHIe8S6Q6azh8lbSZ2Bk700LIIBjj U5C7giO79Lil7B1YcVZIFbANcItT7/niCyKAC8GnV+D8tFkiLHMUtupSXte6no3ADq+dQpJn kruHD+rm/uF/n5/+/Ov95m83oBMtHuWaVRH1pbRIum5+HbK2BzGFt7XglHN6OZweR5Ud8Kjd lrRxc4J+cH3rk2BHRujELk9yNZxDiqFqENhnteOV8tfDbud4rpN4amuuJOFCNIj3bhBvd1ZA dAMWxWFLKh9IMLF+uRmgObrA84VdfdkR6mBeKlsppggRRHUriR7vacXNL0fJdbxS8WdGt0We fUA3PWK62pgkw9ePSiYACUleu680esj/FadHzRHKvjyWp8YwcGO6SQ0eMIZYWyvV8jrwAzJD iB6hJYPvWGHRUGthkwW2FdLTCJLIKa0obiyUnWeiZfWDPb18z/1tFWY8o9ACKuyyelfLv0Zu OQFOXknP4wXUsEts6nm2QJIWx95xPFEP0m41ls+6+liJoQyVHzwzYiuDmrSUAV3+adlvErxN bkuWMXGRILjuOrxToDzKp9LnSn/Kn5nfqUhky+snOAjGhM7rirW0NaYoFtydAThgxKku50gz jlX9QWubKU3vNDpHdLxuiUHDWyodjIM25gMIcjROHdDZO1s71/fZP5Ifn59eRSP/BSYWvMe8 OCAk4UUOnIF3+e+BJ1WsJCYGEP0QcJ7AlCUq/QDCa3ogM//wjzIeF4gnNJens071foFUqZ2j AFxHC36saWT6Nq92/V7YhCzDl5JCC497UlDFYpYkmctV+LfHB7xwxw80CQnpEw9tm3JTkrQ9 ngjQuN2KreDwpinoFyMce8RZMqI3eXFgFEdDZLpHI6fcinTP4JcKnJIPqMAjRsCQYGWSwpJR vobNk7FDfu6U77mfqwKbnlDIQJiaXV2hjVhUbBfYNGICeY7XnFu5CHzLKAad5LA7aJO4uKa5 LTespU9ojt+SAg1HFaBq1fJ7eoRDLdyIbCzzcDZP721S9HVjRA8sv+XmbVObzu10USv1nOHD D7WZrDe34o9k01J2OcT1t6zaJ0oNh7zqQK/o1ZqLVEm2xYF5pgKqeqgVWL1j+jZaoPijkZ9k L5gtFfMWse2x3BSguWeOsukQuYs9y/zp7T7Pi47Yq6BBsrSERUBdKE4EBWoZ6q4586izMpS/ yt5ptCxt667e9goYbYqtvp7hVO2ZtvwEgqpncklwUuYHtRiQ39CMAyvcvDWavE+KM5k/nKOB r4CEpLCGCahYC0TMRfIy1ztTovj1IU2e0XKCSJQy2pTDaYqk4jb59Eo5LV4AG9HASWGEr6D5 vYdhFHnSGJDptBnq+jwxcSbAwXKFMytXOCtU1BRHBdiWTOOKeP2VdIwW4HlJZdL2f9RnLM5I 1LOBEtw5qm66XOUDaNvdlWpj+n177PopuaWxqiOe52PTUTod56uMYXgFub4Tq0qF7dzlbS0P 0QLRzp27cwZHON+v8tDwUNnj/rgxH+JFo4zakhaVkC0ueVFloWeVXLrNaBZeGnbxWFnK2LwC WfP2+v76gN58qgiD5R02wtTwd7/I40RF6IPCVDLp9Tq6p5ASHNqnJylOcmWRaC9irFiq0NJ6 nzLZ2rZOm/yqXABO7z/FmUQocI+xbxm1N/nb6aJh40ZcK1NRVaUEYOWPcFs8tZJu3KeZhFEr TaoKFLI0H6v8dgkXosm/5dP3h8fn5/+n7Gm6G8dxvM+v8LHn0Nv6trz75iBLsq0uyVaJsuPU xS+dqFN+k8SZ2Hnb2V+/BElZIAUmM4eujgGI3wQBEATuXrrT+1kM8vA6VSsty8Vr8QPooAWj maqg+1q1EoPbLoV4t03b0ijOoMoKlsxhCvZ8266TEvaDPiLAm8XwiuxubK5CWeChgLAUW84C hX5VJrf/8PQ1ue5lcrHMTufLJB38ETNqYafRdO84YhK0qvawaiRU67CAZ/OlEbt4TFOnEMJl nTMyFu1Apoxkeu35ULsJbTabFsbu0GpXEVd828JCEZ5p1gYKwgWj9G1cu6Vxm/3Wc51VPW4g ZIR0o/0YseArgH8zRkDuHojzPUJsLOPfwyEHgG21fd58VsYuUeEVzHthbFWJSpnZliYGT93Z FL6ytAXK07MP9FCGH8H3QBGBBMxEmEVLG/Ikfbo7n2nunKSV2TZhlCBfYgD2JjMGpa2u6uya H4v/PRH9bjdcAM0nD90rONROTi8TlrJi8sf7ZTIvvwEzOrBs8nz30T8rvHs6nyZ/dJOXrnvo Hv6HV9tpJa26p1fhJv4MEUyOL3+eTP7UU5oMDgaieL57PL48jt/si5WUpVoEDQEDWdmQZiEA 0Tj0KuYI2Zr55nAK4GGZZEvSXjGQQF4Jc19WYnozS4goGfIhpQQVhfLM1gBM1DQapuXdw2N3 +S17v3v6lbO9jg/0Qzd56/71fnzr5MEgSfqjEtyn+YR1L/DW5EEfUlENPyiKegUuvWa3BDqD ALHNxmKgGMisWZqvJG3DJX0+ZYzlYONZ2NgmODcUWZ6MpkjBuehHacMaiZolClWx0V664oqK Um40ksE2ZPDFaeRQQBeaa46sopdJSszBJejkuhSUtqLIebruLLESiGSmQqphbErG7hTb1QjJ NcCuI2E0SGHltZp1RSiqpGhSkBq+pGu++S5pA0dE0hRGtjVdac4ACHOz4sraKk9aEgtBbjj3 TfMyH0srfdk1P/n25prqkSpkSEXFuEd0eVXnS7L4RZsVfDQ3JHLHz7LGUnVRJ3TeakxjO0D6 ZvF1Z+14jzxgCwNueex6+OGfjgp925gtE66hUiZNrXM3ZMHFdkvCwTpZJ2swOn+Gp3Elozv4 bTMHh6i0tXSkStvD1vPtkeF6OriY/ry/1YZNp55DNkPg3BAct8aKDqKJA8v3+611jtfJrkpG epJC1qXnO7T7OaLatEUUh1+s/+9psrWth++ctYG+9nkJrE7reB9aymDJwsZkrwwrb5rkpmj4 XmeMHAx2W803paWGlrp30jjBPG9+1+IgIuyeM8KNKcgqDnVjnQAZvujzejfVuoDocFTR8H26 oVf9Hswah8q2tm8Ktppv1l8NKtu6+jtrPK8t9UIVEWzrbBovHJmnlCqBzq4FB56uL5NCdV4V kcGdOMiLdFCSbVt8kSNr3zGTW5f5ctMq07duU7DqDv3ZkN5OU5xJVOKEV50hUWSDVQYrX3BC cG2ZzlUmOgE3TMr1lGiMQB+qBSS0Zq3Mpm70uOBq+Xy3NJhnaehYEKYzzXfFvEmkaytu/OYm aZrCBOuv26R2yrisIzSlRbFvt43RloKBtXhh8P9bTmdMU/5DjM7emGTQrfn/vdDdj2wxK1ak 8Icfkr4pmCSInMAYjWL97cBHOG+IXiXtSOwUpl77zZFYBnu4NLSZo/JkWeayYASGOH4SeN0N 9c+P8/H+7mlS3n1QDzeFQrlCzn1rFadtn+bFTi9eRG41w0q3yWq3AfQngqyvfOqRodDSLq06 IfqaQ6cE4s+1DkwE3oK5TeNQhNCpg7gm9gisUlwP6211mG8XC/Dx8FCFVz6/WTObGF53b8fX n90b7/Fgt9KnYQGrz9Rze/PKNjMUj2WjYKTdwjoy9T4x4onp+uzO1LFGaN/G1Ni6NqIp91Be pLDYmK2FzKszu4w055991hp+tnkemXIBTd6+4JtzJF9I45TziUIp3xT3Ziq8csmZ1LnBnJ/o 9YYVrTEYC2XP0UAQXdUwGPVLyoTmcDSYQOFLYRa6HteTE6B83JrtnJkyw4KPF2P9PjBxC2ZC tknqjUqQriwaTPPikCBl3DLBrdl2+ediZLjr4WoA7ey1p+MT8jXRZp5bzQM9DYz4B4nJP8P0 A/5hqbpZ89P7q7phHm0F4Kn7qpwFX4l8PVrLgsn+erTEAqA9fwk65f3+ddPEqqLHUS0vG3JV ZJ906XN7KiJs0wobb5W17fWtuz89v57O3QOESPjz+Pj+dkde0MD1ol1Qs2ZKEwJNS13yCzY3 3uqS84225XYt4jmP98yAMeuxkX22KBGZxU70b6xIxbxbkEfHIgCxuXHx4FB3FR6070jukmYQ DJ7k10tgD4eKmVDhejFulgB/Ojg9TZql+mpdjpnhEi6j6nEtAFWeidZaBI06Q7R64OocCVbo XPt6OffltLd1jqQR8ZNvjroiYKk2TBLctO7UdemFJimkKESd7BK/ynzGfE9/i6bqFGkq9EgK 1y3bfrx2v6YyWODrU/dX9/Zb1qFfE/a/x8v9z/FttSwboqLXhS8aF/qeOYL/aelms5KnS/f2 cnfpJhWY9gmjrWwGxBYpW7hLIh0Lvi5RWxBcYj2wm6JNkc9kVekZVG8a8EbNOZicNIVnWTyN qVd2Pd4MmFulh3m5wXaRK0jdTv8j7jEixPA2wcYqIFbqFgpULGMVf3lDDB8P8esRkGWrtCC7 Cdj+yQnRS/Fxra13AO22INVb6LdslZofbHkLiojPi+2j9PsqLfRhWLHvZjFVSzsiVXnF2iKl eAe4IcBVPfJSh4t78caCgh2kaxv2rxtwgtGlm3JDnayCbt6AOr8GQ8jqBkLlrJdDzBV4SzHS VsVnKEMzBidrzjHCGbJTSDDzowC/HZHQG08LaSvbk1aRj3P9DdAwNvuv0vhpsMZxIERZYNDm pRt6jh6UUSDE0xSNhw1givkNWJ/6KAo++yiaeeaQAdRxTSikywpxAiIMNdxdBEqAjJ5B7t+A AIbeCBiGIjeZ8Mr5GOE8lwL6o0UH4Mje/zrW8if3wDhyqH7irFAYSvUeUJBLUIf2qVDbpN2a e8dMhyqA6g3SswFMXS9gThyO+ntNcURucrlyM49OGyd73/rhzDda0aeCM2tr0wSyWdnrass0 nLlkPDRZ8JADcAyejZezyrdnrxC2QUjFEZafo8zkGP6tzbxoZg5zwXx3UfrubD9qh0J5+7FA MXAo4ffwx9Px5Z+/uDJLQbOcT9RrsPcXCM1EePtNfhkcIf9u8Lg5WBQro/FmEm7Z03LPl4IB hMSt5sfgwHbb5uOpFam21Qa0jec4WZosdFn5bnCNHAg9bt+Oj49jpq2cv8yt0PuE9Q+PjKYp 7IafEasN7dGmEXLBmz70NKqqpUxYGskq55LGHO6GR8OlKEjnZYowxdGsNEzC9aRd0d4ag9qj CV5z7ady9Ru84o6vF3DzOE8ucvyHlbfuLn8eQQ5U4vzkF5imy90bl/bNZXedDki6BW/LLfXL PFAWZJ2sdZ1Pw67z1pY4ySgFHvTYF2Q/hsL4dW0IXNgzVswh5NRtL0rwvXf3z/dX6P8ZHGfO r113/xO/k7JQDE0r+L/rYp6sac+7pk2l1EM0N6sSIhPcALVcZXGC8QN9Djzk66X2QB9g13TO XIZa5yXTsRvkzZxAljBwhVlyjNagm0OyL4CelvEXDK79K+qpSCFinhQcGSHRRxpeDz9u19+r mussRn3ixewKPjpUy4re2wMNNa43orFGHjcFRc/5FgdV9XVY06dj93LRFKuE3a65MrE/GHXh +QJVg5qm+XYxThgjyoObB6R+S1pjFXDIodrschVlwVY5kPUhIS2BsSQR51wWh3OjqdcVsd2r +0HtnUYWBNOYDlJVVDBgaVFYbjhXrRt9w2+MlXuCiuOHwDKMl/RdcAxwsxHDFyI1UyCknsBP eMYM+9GVEO4xxQOTkq99OmcDJqGYDML3Sg5uxdAJRYhMN0IYHmw2XG2tIfHeMl8XjcUtB7Ln QGTKMQ0updli7wROyA/0WqhayZoPhXZ+AkegnooiNOabKvIiF5u2I+Auq5FSpYBzeD660SJf KEyxrrfUodhXUVH1VpATUoYeQXkzeyK9AcJ1rti0+NJEAE0aozcCpvlDSBA4vpqwHdPMEgpI tANebDH1+GCI46Ic9+/fTufTn5fJ6uO1e/t1N3l8784X7V1HH6P2C9K+zmWT3xr3rwp0yBl9 kcY1kGVBvjm6Rs9Ac9jDDnVRW/aWTJ+VlpZnTjdc0FyDBWfEKtOn0/0/J+z0/nZPGreESy94 W/LK2yiYk0yMLORqCUmKcr5Bqtg1pVW12uJu9qcgJ6ZsLLIYaVu6llXwjm/NRIXL7gWCvE8E clLfcZlKRHZn4zn+ilTQNt3z6dK9vp3uqRGSeWPhwTo5NsTHstDX5/Pj2JjS1FwKGNaz+CnY mQkTx/BSvUyzYACAl6XEy+1NN1Zr1PXYhAAF4Il1ld1OXIq9Ob51SBiSCD4Iv7CP86V7nmxe JunP4+vfQW67P/7JB3kw98kYuM9Pp0cOZqdUG9c+Fi6Blt+BIPhg/WyMlcFg3k53D/enZ9t3 JF466O/r3xZvXXe+v+Mr4/vprfhuK+QrUqkV/Fe1txUwwgnk9/e7J8iFZ/uKxCNus0kNdzjx 8f7IleO/jDJ1OXGXbrE9nfriKq3/W1N/5QEQAnu3aPLvVxlQ/pwsT5zw5aTFMZcozgd3fWS6 zTrL+QGLXnJhojpvgMGA89OwOTQC8Axjyc6CBk2d1YmWqQ9/zY/3YneNzt63PBvzhqGbMpgE wdfyfSvtB+K7/K8LV3f6JyhEiZL8kGTpAZwXrQVy1SCZBTEy7Si4bhdUQPC88MNw6O4A7y1B BCIONBPRgDKNRDpB3a5DNxy3rGnj2dRPRo1gVRjiFDQK3Ds/oQsSzokb5DVVYGQB8pHwE6Jg h3ROgqWSQsJNlQ9hwXC+WbNtZVb2bVEsBJUOVnpznpEtlH/iaCjomxGpqJXBFriSILcoIGL9 s0ZKa5R4svChlTIwilqyyf1999S9nZ47PQVlwhUYN/IcLe18D6RSUCXZvvRxhloFgFepY6C8 1MHAqafXJEBAZ6uLY6HoIWhRlbixFjeVQzyP1rc4KiBvkOZVyle3fKWAyx6gZq0II8O89Dwn 8WIchzfxtSxsVdJkIqY91jY5yJLQBXBkuMxve5bNcK8FwDJwEidnBH2Q/g7xzMk0ianv4ZQb VZVMg1DzC1cgKJW8XJNYbcIBGOFrAg6IA2yq54BZGLqGJUJBTTLNtl6JdJJUSDeOibxQM/uz NPHptFCs/Rb7OHsjAOZJKBdYL63om+dvKKM25NlQaWb4kcDPAXN78bNwWSXwMLfVHmcl2dSZ uQ3VAY5yccBW+I0N7/w35Pf8wL9nrvHbM37H2u9gqn8f4bQL8vehWPCzVQS2Lcu8NNo+ENi2 Lj+S9DqmUXxwjWJsdhJAzagYygLha22FBK24npnnG7XMAnq3AWpGqTFJNgsirdRCmPgS7Hsi 7jEFaNjt5drTIfl6l5ebGlTztg9d3Ot7BT+a0Wm+2k/1pFTFOvH2kJCeNiuWbeoFU2qQBCZG RQvADE2xBGjZrrlE4DoeJREAxnW11K0CooX7BZAXUK0BjI9d9TlgFrlowVZp7Xv4VhoAAc6I AICZPjpVvj78cOPYHB+FXidbvrjQLhAK1y6RHksVfr8hMKyuikOhzd0A31ngHIxOQpYJia/a ZPJ6EQ9PK4id2KXa2iN97U1rDw2YQ6Z0knjXc310766ATiwSg3+YtDGT0Rp1cOSyyItGzeVF uHS4YEBOZ/giVsJiPwhGXWBxFMfkCla1iGtaSz0Vl3j3+paC0NBlGoSBJrO0N2Xg+A5fXJbt wgkiIFjWNordInIdy3JSqtY+UY7j/cnw2SmAzwmRpGmSa4nMQFxrcn42qQeqepnoC6WIvz5x Lc04XmIfZ3peVWnghVphw1dSQfnZPYvHA6x7OZ90rSVpy4TLpCsVm4Xii4Ii/7FRJLoUlkcW bp6mLCZTaxTJd93tva7Y1NFDuLI047NmPk0f0BBTq4EwzmxZW1JDsJr51OG/+xGre+veRGaO jgyjd3xQgAmfMpXnS4sVSBLgaYZE72LEmBIrpSGG1f13qFAs5LNafTeKk9Mr9KMiNCWhNaql cZo8a+CUZPY3LaHeaXInFykt84QOvs3iv/1IE9gBElMTwhGBZ6giYRDQAcIFilZRwnDmwT0z jo2noLpowEE+udA5xtFEsDDygsbUZ8Io1mQc+D2mmUX66HPYVJdPBYRigYCIXP1TPRMWQKYO 7coCuBntTc5FH9srVM5UYkv06azeQMhfmn1mLAg8KlcBFzbcSA/LC/JHZHnjW0Web0Ml+9C1 5C/nqNiSjJRLD8GUjHwPmJmnn4i8f07sKc8hDRyGU9eETX3XNU5OgEYu5T0kTxiOx0zn010l I0FxpvLw/vzcZ+DDvGeEU5HKu3+9dy/3HxP28XL52Z2P/wduM1nGVNZLdK0grOt3l9Pbb9kR smT+8Q63nHg/z3qvMe0mwfKdKLn+eXfufi05WfcwKU+n18kvvF5I59m364zahetaBD62OgnA 1MW1/6dlDyHIPx0TjcM9frydzven147P3vicFOYRx6q6ANa1HEU9lorKoMwuWGFOsn3DglAP aV0tee3E94t9wjzIuIt4zQDTeRCCG0Frq3rrO6Fj0fPV6bC8bTYHn6tE+FYVoSBE2Sdo8Kgy 0e3S79M/GRtjPBnyWO7uni4/kSDTQ98uk0Y6br8cL5qNOlnkQeDo6qEABTae4jt0GmiF0nLo kFUjJG6tbOv78/HhePlAi6xvVeX5LlItslWLFaYViPh6+IxVyzxSTVi1W+wIygouYOnGEQ4x zWd9o80GSnbE9/0FPPKeu7vz+1v33HFB9Z13eGRXDPRn7ApILl6FmxrnogBadtq8KvhGMBeq iabtE4v9hsVTLSmCgpj7REG1U/1btY+QeapY7w5FWgV866ICMdQQvzBGF744hm/ASGxAfAWg IXS7HkbRnVVbr2RVlLH9SNRTcFJE7HGUiHj9ztfOs0+WBy4A5hbee+rF9tDBxi7dI0Uw+fE2 yX7PDsx3NQlpC3YMfISUsFP1O2wuYDi0t1JSZ2xGvzoQqJmRX2DlTkPL8uQoUspNK99zY9Rm AOi6P4f4Hi2epeB5TskygIiw1XRZe0nt4EsZCeFddxzNmar4ziLP5eNiCRff6xCs9GaOSyvz OpFHSbMC5XqaWfl3lrgeKSw1deOEOPV0X8PVjf8qTDYhzk9X7vh8Bym6iuHcmjN5vDkVBGVK W28S13eQzLepW74OUP01b6l4jIDbVLgubgv8DnT22n7zfdeimLaH7a5gdFKmlPmBq5tTADS1 OKuowWn5GIcRvXQELrbjppayOS4Ifepw2bLQjT10wbtL12Xg6Gxfwnyqk7u8ElYZVICA4Fwa uzJyY63AH3xq+EzQ2bl0ViHdie4eX7qLNN8TTORbPJtifRV+h/i3M5thFqPugqpkuSaB+lUY RmhclEN819UuXVI/9AKNVSlWK74WEhN1h6GmflWloXHba6AsQp1JpZ11PbKpfM0GrMPNQ8nA GufS4L1FzYycs+Hxn2Eyq7Z7LHVphEo+uX86voymGx1QBF4Q9B74k18n58vdywPXxl46vfZV Ixzur5evmnwrnsg227pFd7PaVLbg9l5uNnVPYDutb9mCoTqubadbqM7IFy6Ach3ygf/3+P7E /349nY+glI0XveD4waHeMFz6v1OEpie9ni78dD8O18rY9uBZ2EnG+H6muRBo8QH5gEtg8KEp ASjfEejy/HDSAa6v3zMAHzMopHDQs7q6NMV6S1/JceBzgqXgsqpnbs8NLcXJT6TW/NadQWIi lc557URORXkjzqtau4KWv837awEzdL2sXHFmSzvmZzXzyZvoVe2gt09FWsMIavy5qkvXHd0U m+gRTxjQnC+S1hoWRvhyXf7W2a2C6ffQHOZP/2GqojKphinVyvBSlCwsMRoPb8MA56hd1Z4T aXzwR51w0S4imd9ougdR9wUiuo5PKubP/FDfsCaxWkinv47PoLjBVn44Aqu47wguAAJZqDt/ QJb0BkKD54edxQo3dz1yj9bFWnsT3Cyy6TSwZE5nzcKhrIVsP/Pxqch/a8nr4LtYFzh8Td7f laFfOvvriXQd7U/HRPmQnv+/siPZbhtH3ucr/HyaQ9KJZNmxDzlAXCRG3AySluwLn2IriV7H y/PyejJfP1UACRaAopI5dDuqKoBYC1VALY8/0Svtt8/60+rCudKeVpOpm0PbWJcerFYfPbv7 J7xOs7c/5dYfBQb4yqjrbB1ML85PLJ6YZDq1aBEUje0ynm4uPp5NrIR0GjZy2VpnoDxw91QK QV7HazitqEysfk+tuCF4XTI5P+X3Adf1oWi5tqLM6BNeXh7d/tg/MbHx5SXaQdvaXhsnnNhT yMkK01tQZu/VbCouMRCvFcfeRNUsgpoGHAI2EdVo5VXLIk2pgZbGzGWQVfW8e/uzNozCa6eg xZrTiRQBps3tHRr1fl9eH1VvX1+UYecwGF0QETtKGQG2WVImwOgpeh5k7arIhYr21pUc5gLK YJYcDLxfF1LyxpKUKjxQgw4e+ZsKKpFeFW4N6FGVZJvz7HIkfJru3AaGkekiIsuNaKfneaYi 042gcARslDb5aGiQcvUlUZbLIo/aLMzOzqiQjNgiiNICH9RkaDuyIVLZEugIeSPdIBQ0gjKi +mTwqqH3dsU1AEGx5hmSvV5IQbS4dYL4G1GJ3NTAjzYtLU9FKfz8C+Lh7vlxf2eJMXkoiyRk W9WTm0tPQe6q8qssypyfWkz2gGiZUYXCRBxaro9en7e36pR0+UVVk0rhBzpP1eijYw32gMDs s5ZnK6JUwLMRBT9Dw3wJCznwQ9z5RIPzrHXBh/zADS/UX9H6nTN3l+VC2IxQuW6Ush2P9Y5l 2mwhDXHlBuYwFJ1JxMj9ak+VBNHMuT01uEwEy00xZbAmp7nb+FhG0U2f83zcTqNER199Akqn ahktEuoKXsQW3CYO49TrO8BaEXPxJeOKiIbwo09O0uY6eQHB6EQ9vZ338IEB5bz4+wRChcIk DQZUZcXDVZB5hObMNrAIqMSM0UZgoDbDdSuNvON5HWAoHxEuPl1MBa1EAavJ7OO5DbVN2RHS +bFxGrzn1VJmbVFax3mVsJ5HVZpk9ukMAM08g1qm7n6S8O88CrjjC5aNinQ1zBfsz8tGhCEN 3TS4XNXADIFnqpirA4e0YunjL83Dw8zSBW0PAv10u0cvasWZLQXwSqBkDlJ5XKFRZsXeHQAu KeA4Gj4dbeqplcCzA7QbUdfSB2MsL5jKwJJLemQVBY1Mai7iHJCc6O/QUidWlSyL7KkO1z1z +zBzG+ug+uocTB+3iMJWTZ7Ubqr4L/Nwav9yy2KAwHkALIxMu4wSmBgMeVdRebADAmlgpUQ1 GJVmNcljLqA5qdOdNIpiJ44ScAM8XMMrGo6h9p0xpAi5bIqafz/Z/HbCkULyXuuIKnLlyloF kmWASLIW0nKfRdhYZtlFXE2dDmDS2inf23ktvf72sN90y5CpWVZMZjE63IZYNjmIcbD+rlvP P92idRafBooKZtcSR4aKoxhz8Tp+8b2glKT+sMRTbw2QcwmlMZ7hsJsQPT1dbqBhXZCyouT6 in7rLeL1TULPPkFqRIPaaxdP2wfagrz2QrtTChwOlr/ElY4gMHwxdAGJBjjhYWLh0qmN4fxE z2nl6KkOnljY6dZVOMKOEBe243Fs6DTF2DLX2BqkI/LxOKvbK6KYa8DUaV5Qk5nDZGJxNbP4 l4a5q6XBJLPcHBYwzqm4thj2AMMEnomEk7eFP4cJRLoWIG7HoEQXVhZiQpzkIRtflpBkEfSx KI1zebC9/bGzjta4Umycla87ak0evpdF9iG8CtUpzRzSSVVcgAbID0wTxv0J2VfOV6ivlovq QyzqD9EG/w+Ktv1JswJra6CzCspZkKuO5J4W6aPgBCCYlhiYeHbyicMnBXo1Y5Dd4/3L4/n5 6cX7yTFH2NTxOd3/7kc1hKn27fXb+fEwgHnNMKFeWjo0Ivoe5GX3dvd49I0bqSGTOdl6AFqN aEIKidcsdHsoIA4YptVLtI0/RYFAmIYyIurFKpK5lSPdVlnrrPR+chxVI5zjH7TdOGwDCfoi 2fb6T1w5a40Zm0GWrXTEFWhcHWV030qMGBLbK0qEQ+U2qJXcpZWIPe4RKV7Nb5Ol8zn4rTOL kuU0d9ukAO4Z6X92/IT7Eo8KBc08cSS6HgL9vkL/5VBFwSUzYwjSm4KB3lh2LwO4qu1oywoh 8MGxj55woHlmdTjlfyf6DZ1p6mWU10kgRhKkBFJkdBj0b32gg5pLlqBGZDWxDKhAhaqW9nz0 MH2ue0yYpdKHg6UR9nhU+bOyxRzbI9mxXFKl+x76JKVDd10rJJmhcvalgdvzbMDpzYxtPyyW w63e3BzG4wI6TDFTCQoxT2GV3PxmjKJsHoHSy8UpGqZEikUGi0ZPnqr084k5enzlIUtyYG28 3JA5u2xZOoDLfDPzQWcOK+hAXoRa2X2A4/UYUpuwUP0bj6sUNW61ua38Rh0BTNiApAdLj54Z 9OhXkWoZ0G+41ZzPpn9QDc49bYyNHUW4fezPaLY7hUfGriC2Y39SwuoDV4DvlGnz8d3u28/t 6+7YqzkYvX3tCFREF3dwgI15c35T5P5KgQ3FwfA/ZIzHxwxuhWFe1IY5mzHoTGxAFBZVkQ+Z VQi6ZErD8X1ln1Pe/tOQdg2nARtA3j9FI1l4x30PG1VHDIF3JhkMq027RMwtTo+6SUoGGoCk UKsYiCCjpUmW1J8nRLqM6nUhV1TW4bRjGgUQfgzLy5eBEd0L0S0I0XZBg/k0jrEtni3c+Sln f+GQEPNOB3M6ivk0hqHpOB3MZKQD52fT8Q6cccEGHJLZgeKcFYhDcjbarouRvlycjJW5sD0t nFL8M7lNxDqk2e365HUYtEZcVi1vWGuVnkxHrI1dKs5aE2lU9EG7+/3nJ/Z49eApDz7hK5nx YG+R9wjOwIDiP40VHBto05sTvt22Sa2FOR0d2VWRnLfchbtBNna/MbwmCBwi98FBhNHdOXhe R40s7GYrjCxAJKeJNg3mWiZpSp8qe8xCRCn3lYWMopVPngSYCy90B1uh8ibhDmGrm4mdbrHH 1Y1c8SH/kUJdGtDIKOlIQqE8CcZSNljPJdqrdnf79ox2Pl5kUcxXSnuIv+GMvWwwbd6Y9gFC f5XAUQEyLtBL0C2o2snU2l1EglKIGLZDgGjDZVtA3UrX4q169dGH4S0rZflRy8RRfMafTHqU pUiLqwj+J8Moh8bhTSZei7UYjjIQ1l2GR0S/6tcQQxVzJ87VAXJkUZg3ln0Kh/EIFCkm6VhG aUnvW1k0xjtefj7+8PJ1//Dh7WX3jNm93//Y/XzaPZtzur95GkaVRrpNq+zz8c/twx06Nr7D /909/vPw7tf2fgu/tndP+4d3L9tvO2jp/u7d/uF19x1X2LuvT9+O9aJb7Z4fdj+Pfmyf73bK Hm9YfPpFdXf/+PzraP+wR9eY/X+3to9lgi9Q0Ltg1eZaviSvlQlGq9bTRMJXs4PdE+Mz+Sht /+zKN6lHj/fI+J67G63vzaaQ+lLAuiuAPVGYO9jnX0+vj0e3mPD+8flIT9YwHJoYurwQ1NrS Ak99eCRCFuiTVqtA5W8fRfhFllYoWwL0SSV9vBhgLKERLu/dho+2pMd4RVZl6VMD0K8bNSef tA+GOwL3C6jXELfyjhojymOWcvdhtaNaxJPpedakXvG8SVOPGoH+59UfZsrVPVbgwWnCm/Lt 68/97fu/d7+ObtVa/P68ffrxy1uCshJeC8OlB4qoQYWBKUKzNw1YhhVn9dZ3qpFX0fT0dHLR t1W8vf5AU/Fb0GzvjqIH1WA0yf9n//rjSLy8PN7uFSrcvm69HgQ0hV4/+DTvWU+3hANQTD+W RXqtHKH8potokVSTKS+m9hsoukz4GPWm/0sBbMqi0bE/lVc5Mm/rSaVv3pw3Ju/RMfdY3CNt FdRAuWPXtHLOFEnZ++0OWcRzZsxKp+E2dsPsDBAO1lL4mzZfmqnxVjzGUK4bf6Ixov9Vz3SX 25cfZnydsbACv/fMLRP+qt5AfzzglS7eu0TsXl79L8jgZOp/Q4E96GbDctt5KlbRlJsYjTkw n/CdevIxTGJ/L6hPuT0iu8DhbuGMmeUsZD0yO2QCS16Zovr9l1kIG4oF2zFTBsT0lNOZBvwJ NYbvd+VSTDgg1MWBTyfMkbkUJ0zPq4xT8XskPkjPC/80rBdSh7Rzq1uXp7YzqGYFKm2sv2xF 5G8fgLV2hsEekTdz1n+ux8tg5g0GiDHrLtI3jxjSL3n8RWQR6GaHWL1AvWO8fFUfWFWIPvOa FTIjEqu/vrSwFDeMwFSJtBLMEurPB6alVcQ+EhisLK18KGbl+MNdR8JfK+uCnYEOPgygXiqP 90/oV2OJ12Zw1F2391Xrka6Dnc/8LaDfbTzY0meI3UuedioBveLx/ih/u/+6e+6jpnDNw8Qx bVBy0mMo5wsdlN8TRhCz5Ni3xjhZ5igOjsXxWUMK72NfEswsE6FjQ3ntYVEabDmBvUe0LKs1 2FGh3FDg0Pgb26BR1j/EjARz2mKTlOWdo5r83H993oJ69Pz49rp/YI5MDFLA8R8F51iJimqg zymT3vUADYvTm5Bkhx0j4VFGtCQN8GQci3B8OJGO4zYI709PEJ/xhWJyiORQX0YFnqGjRGDl iMwZ53ZzyVoqVNdZFuE9i7qiwZyhQ60EWTbztKOpmrkiM7O1Of140QaRrJMYX9KjzliXvCOt guoczb6uEIt1GIrh1QpoPvWJWhhzX71SMc7GN6UWvKg8ai/77w/ajer2x+72b1DaiaODeu5o a4nvI2F/lUWuVjx8RZ6tOmy0qaWgnfPKexT6jWr28eLMUEbwj1DI6982BnYCZgqr6j+gUPsY /4WtHgys/mCI+irnSY6NUvZ48WcTeGSMDUiRhGdteUnsfDtIOwftE1iyJG+CaNMqZKvMaeyn YqGMGTm7zwSkJ0xCQ0a5d94CwSoP8OZNKucgyjMpSRrlI9g8QputhL50BYUMLV8oiXYneZPN MfncvVtDGSSurXmPcsAge4MWCkeHBZqc2RS+eA4V1U1rl7KVBfhpUjvZp5zCwB6N5tdcJBKL YMYUFXIt6pE0LopinvAv2YA949xaAzwSaNPJGxwwKl89CohW4OpDmLqt5nKEw/oKi4yMCtMS ak4wVIlQbexiw9GEBc/H1NrtN5r7O+KUYw5BoFzN1DrCgtrWEISabR9v9qDAHP3mBsF0zDSk 3ZxzalWHVI5xZeBW0yZ23jYNFDJj6gdovYTNNP6RCvi8/4l58MWDdTdZHXDoZruwXsUJYnPD gi3Jl8A7+dXZ18xLAeh3YVsVaWFFVKZQfA855wvgFwlqHhDhUFRVESSiTq4iGDopiAkA7AVk MdQdEEFWFohQxVwPUqFsP5ZKaCX7RwZLVUblmkPauJBdvgU6dYhBwXLMzKFapHpQyIcvye3l Ii2s2wr8fWhr5qltSGYGvi6yJKBLLUhv2lrQ4FnyEsUl8vGsTND8jHKZOCSDUCShcnqDg4LI 8hV6gRakGvUqEUZlQYpWwP0sFo9vU/li4MVWiALnBLXfS3oxRUGfnvcPr39rB/373ct3/wlP nc4rlfTUOkU1OMBQ9axSo81/2rRYpHCmpubW/dMoxWWTRPVnY1vTy2JeDTOyXK5zAfPkLxee YswHE+TMeYHyZSQlkFvBoUdHyCi/+5+796/7+07AeVGktxr+7I+nbkin/3gwtMVvgsh6FibY nl1EIxFEBsqqTEfOS0IUroWM+UiMi3COHkFJyd7ZRrl6aMgavE7pfKw6VCxhALXD0OTjdEbX awk8Bl2IM0sek6BDqtoAyRknAxoztyQ57Au623Q/QLbF91y0qM5EHZAj28WoNqGz07VbB7Ci IGrjJtcFRJpg7Kfp3GFfa5HXXffKQnmWVG63O7g/e/oT60isVAqaoGzsUe+l5z9dTv+iCd26 rR3uvr59/44Ph8nDy+vz232XOLTfT2KRKPt6eUlY1gA0r5d6cj9//A+x46J0OgrDgbU1YtNd CevSTQEwey/n/K6Rc8ywVvmF0Hx+xLIa0WoCMz5UAjLLri2EZf7RSNqLBt0MotSfabdt9DHa 1EvYK7I40OEwqLp9KamrQ7w68HgrTixdrHOWBSskrMiqyB3nLRvT5kXnEffbStqbSBZ8I9H/ 7cCaKOZfIv79p9vHKT1bO5h6nm/wFCDbGvhN2KGiPHTZjy55lfkQ9WbSOY86jQOknB9oPODL BYjei/H26yRbyhyACklXEe0L+kjFjmsVg+aO00BJTyuB69u/wNFYtLTU86mmM7kBnhqGxlTa tkIY1qLXlqWT11W/MiH9UfH49PLuCENBvz1p1rTcPnyn4gIm1EaDiKIoqe0zBaNndUMuqTQS JYyiIbl10Z6hKYc8LsMSKOJ6FDkvihpT6GSUrOzSfP+WxjSNjAl+oV1i2I9aVFxqufUlnA1w woT03UUxGl217YB+aBi1ORUw/rs35PYMv9DL3zO1V2B138qeK1yV7rTj+K+iqHTuRvSlDD4U D1zx3y9P+wd8PIZO3L+97v6zg3/sXm//+usvmqUdvU5V3QslqppspEaExFTSjG+pRkix1lXk MJJjPpqKAPs9ujFlDWJKHW3oxWm3zrvkry58hHy91hhgVcVaWUA5BHJdWa5cGqpa6Kgs2n2n 9NlAhxjtjFZLoAXRWGkcaXW1z+XfpoMGmwYDKLRGe+gXs+kmozUNOsb/sSDMjpCYvQp4i+Kk jr6jkLRLSlqDcWubHF+7YNHrq5YDbHqlD5kR1vW3Ptvvtq/bIzzUb/FS0jJ86EYxYTXF7qRT F54+++Z0VY1S/sqJlhVNKXUigjYuaoE6CQaw9NyoLYYx0ni3HQGoD+hQ5sQV1q9iQcMKIHqz BcScdmxpAJHKIdr6y4JQ0NKjROgsr/LweGS0JmnlGkVQdEn9jPpob1bPnF172cneUknd/tRp 53iQwPA2gm8w3rnlwXVdcBszV6FFoaHkDNIrPbCZi9LX3USWKmWkorcu2+FPjU2q1glqLm79 oANGGSwZEMYVSqkdlf19q74OQHiw6VysauD90gQmlR2JUK1sY3HMQPLx1trj0+7hef9yay04 eg1R715ekXHg0RdgatvtdxL2VcUHGVqvw4Wo6aLWtUMUERcWbVTLW/eWWmORqXiscTCk7vYr 3gUUEgS6L1qPZIk752qOxhbNQCALiqtuYThxvJpc+ZvW+phTj85MRTDMpju2wSg/lp5Vqb73 +R+Baijo9LsBAA== --7AUc2qLy4jB3hD7Z-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============8832241937930875576==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH v5] net: can: Introduce MEN 16Z192-00 CAN controller driver Date: Fri, 16 Oct 2020 07:49:59 +0800 Message-ID: <202010160751.lNyADAMs-lkp@intel.com> In-Reply-To: <20201005112033.21438-1-abhijeet.badurkar@duagon.com> List-Id: --===============8832241937930875576== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Abhijeet, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on 549738f15da0e5a00275977623be199fbbf7df50] url: https://github.com/0day-ci/linux/commits/Abhijeet-Badurkar/net-can-= Introduce-MEN-16Z192-00-CAN-controller-driver/20201005-192132 base: 549738f15da0e5a00275977623be199fbbf7df50 config: openrisc-randconfig-s031-20201015 (attached as .config) compiler: or1k-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.3-rc1-dirty # https://github.com/0day-ci/linux/commit/267876771a434b2be3278c2c8= 7d36146c0fac77d git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Abhijeet-Badurkar/net-can-Introduc= e-MEN-16Z192-00-CAN-controller-driver/20201005-192132 git checkout 267876771a434b2be3278c2c87d36146c0fac77d # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-9.3.0 make.cross = C=3D1 CF=3D'-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=3Dopenrisc = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot "sparse warnings: (new ones prefixed by >>)" >> drivers/net/can/men_z192_can.c:1057:17: sparse: sparse: incorrect type i= n argument 1 (different address spaces) @@ expected void *addr @@ g= ot void [noderef] __iomem *[assigned] dev_base @@ >> drivers/net/can/men_z192_can.c:1057:17: sparse: expected void *addr >> drivers/net/can/men_z192_can.c:1057:17: sparse: got void [noderef] _= _iomem *[assigned] dev_base >> drivers/net/can/men_z192_can.c:1071:21: sparse: sparse: incorrect type i= n argument 1 (different address spaces) @@ expected void *addr @@ g= ot void [noderef] __iomem *dev_base @@ drivers/net/can/men_z192_can.c:1071:21: sparse: expected void *addr >> drivers/net/can/men_z192_can.c:1071:21: sparse: got void [noderef] _= _iomem *dev_base vim +1057 drivers/net/can/men_z192_can.c 962 = 963 static int men_z192_probe(struct mcb_device *mdev, 964 const struct mcb_device_id *id) 965 { 966 struct device *dev =3D &mdev->dev; 967 struct men_z192 *priv; 968 struct net_device *ndev; 969 void __iomem *dev_base; 970 struct resource *mem; 971 u32 timebase; 972 int ret =3D 0; 973 int irq; 974 = 975 mem =3D mcb_request_mem(mdev, dev_name(dev)); 976 if (IS_ERR(mem)) { 977 dev_err(dev, "failed to request device memory"); 978 return PTR_ERR(mem); 979 } 980 = 981 dev_base =3D ioremap(mem->start, resource_size(mem)); 982 if (!dev_base) { 983 dev_err(dev, "failed to ioremap device memory"); 984 ret =3D -ENXIO; 985 goto out_release; 986 } 987 = 988 irq =3D mcb_get_irq(mdev); 989 if (irq <=3D 0) { 990 ret =3D -ENODEV; 991 goto out_unmap; 992 } 993 = 994 ndev =3D alloc_candev(sizeof(struct men_z192), 0); 995 if (!ndev) { 996 dev_err(dev, "failed to allocat the can device"); 997 ret =3D -ENOMEM; 998 goto out_unmap; 999 } 1000 = 1001 ndev->netdev_ops =3D &men_z192_netdev_ops; 1002 ndev->irq =3D irq; 1003 ndev->flags |=3D IFF_ECHO; 1004 = 1005 priv =3D netdev_priv(ndev); 1006 priv->ndev =3D ndev; 1007 priv->dev =3D dev; 1008 = 1009 priv->mem =3D mem; 1010 priv->dev_base =3D dev_base; 1011 priv->regs =3D priv->dev_base + MEN_Z192_REGS_OFFS; 1012 = 1013 timebase =3D readl(&priv->regs->timebase); 1014 if (!timebase) { 1015 dev_err(dev, "invalid timebase configured (timebase=3D%d)\n", 1016 timebase); 1017 ret =3D -EINVAL; 1018 goto out_free_candev; 1019 } 1020 = 1021 priv->can.clock.freq =3D timebase; 1022 priv->can.bittiming_const =3D &men_z192_bittiming_const; 1023 priv->can.do_set_mode =3D men_z192_set_mode; 1024 priv->can.do_get_berr_counter =3D men_z192_get_berr_counter; 1025 priv->can.ctrlmode_supported =3D CAN_CTRLMODE_LISTENONLY | 1026 CAN_CTRLMODE_3_SAMPLES | 1027 CAN_CTRLMODE_LOOPBACK; 1028 = 1029 spin_lock_init(&priv->lock); 1030 = 1031 netif_napi_add(ndev, &priv->napi, men_z192_poll, 1032 NAPI_POLL_WEIGHT); 1033 = 1034 skb_queue_head_init(&priv->echoq); 1035 = 1036 mcb_set_drvdata(mdev, ndev); 1037 SET_NETDEV_DEV(ndev, dev); 1038 = 1039 ndev->ethtool_ops =3D &men_z192_ethtool_ops; 1040 = 1041 ret =3D men_z192_register(ndev); 1042 if (ret) { 1043 dev_err(dev, "failed to register CAN device"); 1044 goto out_free_candev; 1045 } 1046 = 1047 devm_can_led_init(ndev); 1048 = 1049 dev_info(dev, "MEN 16z192 CAN driver successfully registered\n"); 1050 = 1051 return 0; 1052 = 1053 out_free_candev: 1054 netif_napi_del(&priv->napi); 1055 free_candev(ndev); 1056 out_unmap: > 1057 iounmap(dev_base); 1058 out_release: 1059 mcb_release_mem(mem); 1060 return ret; 1061 } 1062 = 1063 static void men_z192_remove(struct mcb_device *mdev) 1064 { 1065 struct net_device *ndev =3D mcb_get_drvdata(mdev); 1066 struct men_z192 *priv =3D netdev_priv(ndev); 1067 = 1068 unregister_candev(ndev); 1069 netif_napi_del(&priv->napi); 1070 = > 1071 iounmap(priv->dev_base); 1072 mcb_release_mem(priv->mem); 1073 = 1074 free_candev(ndev); 1075 } 1076 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============8832241937930875576== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICAfXiF8AAy5jb25maWcAjBzbbuO28r1fIWyBg/ZhW1+S7AYHeaAkymYtiQpJ+ZIXwet4t0aT OLCd9uzfnxnqRkpUtgW2iWaGt5nh3Ejm559+9sjb5fi8vRx226en7963/cv+tL3sH72vh6f9f72Q eylXHg2Z+g2I48PL2/9+P77uX06H8867/u32t9HH0+6zt9ifXvZPXnB8+Xr49gY9HI4vP/38U8DT iM2KICiWVEjG00LRtbr7cDyN//r4hJ19/Lbbeb/MguBX7/a36W+jD0YbJgtA3H2vQbO2n7vb0XQ0 qhFx2MAn06uR/q/pJybprEGPjO7nRBZEJsWMK94OYiBYGrOUtigm7osVFwuAwNp+9maaWU/eeX95 e21X6wu+oGkBi5VJZrROmSpouiyIgBmzhKm76QR6qcflScZiCgySyjucvZfjBTtulsgDEter+PDB BS5Ibi7EzxnwRZJYGfQhjUgeKz0ZB3jOpUpJQu8+/PJyfNn/2hDIFcGlNLOVG7lkWeCYaMYlWxfJ fU5zg3UmFBsHKja7WxEVzAuNNbtsmSO4lEVCEy42BVGKBHMnXS5pzHzHrEgOGlzLDeTond++nL+f L/vnVm4zmlLBAi3mTHDfmL6JknO+cmOCOctsbQl5QlhqwyRLWsCcpCEIvaRDdIuSGRGSVrCfvf3L o3f82pm7axYJCJJVHYv+RANQmQVd0lTJd5GoxiQMiGzYpg7P+9PZxTnFggXoOwXWqLbTlBfzB9Tr hKemsAGYwWg8ZC79KVsxmLzZRkOdIp+z2bwQVMIkEtgHNk3FtN7MG7UUlCaZgu5Ta7gavuRxnioi Ns6hKyrXJqjaBxya1/wLsvx3tT3/5V1gOt4Wpna+bC9nb7vbHd9eLoeXbx2OQoOCBLoPls7M+fky RBUNKOwKoFDO6SkiF1IRJV0TlMxar2SNDQiZJH5MQycn/8Ua9FpFkHvSpSjppgCcOTZ8FnQNGuFi pCyJzeaybl9NyR6q2WmL8hdj7y0a4fDAnABbzCkJO7rT2Fc0pBFsehapu8moFTBL1QKsa0Q7NONp yQG5+3P/+Pa0P3lf99vL22l/1uBq0g5s44BmgueZNGcIhi+YOWXsx4uqgWPyJaKQwZyGLR8iwkTh xAQR7HqwGysWqnkLFqpD3prlEp6xULrNdokXYULew0ewWx6oGF5BSJcsMMxxBQZlROXvwUPq54bg JQ8WDYooYtkVcHZgaGEjuUaf02CRcZA0GhjFhTEFzQvtcXXHHd8IjAwpGIGAKHsj1SylMdkYrhqk CGvUXlkYAtHfJIHeJM8FcKD12CIsZg/MGhdAPoAmTlYDMn6wxdBi1g+GtJGQd/qNH67cLR+ksjTC 5xytHv7uYmhQ8AzsNHugRcQFugH4kZA0sKxvl0zCLy7bUIcRjS9d0iJn4fjG4GwWtR+llWm/O7Ta cUIEISxhzqhKwJDq0UgcO5lbStxBUW+50ht3w6HSYxlQbVTMCM7QYp9AMBDlsbHgKIdouvMJm9FY cMZNeslmKYkjQ8H0DEyA9v0mQM7B+JgMIYw7ecB4kcP83WaKhEsmac0h116DUXwiBDNDlgXSbhLZ hxTEXFcD1TzCvaXY0tIoUIN3BYhS194vcu1WmBoNQ9NSZsF4dFX79Sr3yfanr8fT8/Zlt/fo3/sX 8IoEjH2AfhGiD9P6/8sW7fyWSSmZMqBwuypMIIiCsM3QIBkT39LmOPfdGhxzV9iM7UE0Ykbr8MDu DbBovGMmwUSCjvNkqJOGbE5ECNGmZTXkPI8iCIMzAgOBjCCpAWvrjKt4xOIyGKpVWID11kZamlGB nZvVxDyjqWDSyCkxxvJRxmnIiBGpJ4kRd9Th8XxFIdq0Q1zGMw4eMiFZZ04YjEcxmYFhyDOkcYTb MjdyAYjVgkXZtNcC43LwKAZC61N2Ou725/Px5F2+v5bxmBFt1IsW40UxnoxGbXcQ14P/KlaCKarm 4MBmhr+vmaQzSAi5ilD56HnKIPZpez57jHns5Xw5ve0w0TfHqttqY8xSEHgUjR19G/j4fTyY5Xfx IVuagndP0NC1JHPuAEg6xqPREGpyPXKoIyCmmq2dXty0d0bFolkHaJDMwMWJIpRrsyd7pXJOQr4q Zpl76yehrlTUQgr3X96+fYNg3Du+1gJqOv4jT7Iiz3ha5Gnpl0LwjLCHFOOpc/3NVChMsyFF91SG SM5MwTGHGvWe1lqFle1p9+fhst8h6uPj/hXag5U0FmV6fiKCebnz5pwv+psNBK/TygIUHuL9lkA3 xJoPhKmFpAr4orfHEEkQUyKGiKYTn6mCR1GhLGNSzIiaU4HyBkM5M2KBhId5DPkr+KCCxpH2X4an mSnMxooY7H8s7yYda18Oh268KUoFfPnxy/a8f/T+Kt3M6+n49fBUppetfXyPrGtEfyAHI1FIMAah hsfWLlkm6K9HnRVbGY4GYbQXYEJFXG64oslTxA82LtFOPQa6qlTmTleqfiDBbCpqA/FCTcnc4U6F RhlB4vDuYOjtVkXCpASv1qYjBUvQzrub5inoSggBTeLz2E2iBEtqugXGRoP8lEBLked8kRsuzEeP Y2coMpAMtPM+p1LZGMxdfDlzAmPmuxIdRWfgfJw5UIUq1NgyrTXBA0+7xQmDojKFhS6euUIIJFr5 nQUAoEjuu6Mh83hGXBE9osvyMEQOgdhoi2j32UND5h3HPgma+nG2PV0OuIU8BXbQMtIwfcV0Iwid MT9ybggZctmSGlF8xCxwa3k7I5rzTe6LJYM2vCmT8rZMYU0OKBkvE+AQLCku0zW7lmqx8c24vgb7 0f3ds1HatMZrrKpMx0DVqH7FVpmxVO91U0u1BUY7qivJoSZCCjlMIlY1gV4h/d9+93bZfnna6wMQ T8fnF8PV+CyNEoWG2mB3HAVWcaAikoFgmeqBEwxAn83Kv6Bh3g1LKqYMTUjPNtk/H0/fvWT7sv22 f3a6RohAVZnBGQDwQiHFlMsOW6v6OpMcMyhToWQWg5vJVMzLsqS8u+o08tGQ2XXeClS6qqAbXZh+ LLBH02mAoGgArVA/YTPRmRj8UChVzBnMsRfSlYnUJc4Elg294eYKxd3V6PamCegp6EQGfhrzgoWV +KLbL32+0/hEAqaCxyTO+Mzw6PDRrVAhiEBQIu8+1aCHjHMj7n3w87DdBQ/TiMeWC3zQLpYHzqnp qEczFcOjRSdJr5lOBa5ZF4yN4CnPCh9M2DwhOq9s9HJY9VpWNmlKur/8czz9NRCQgvwX1FX8hc1u lDfwC7aUJRMNg8TN7YbVgHNcRyLRKb8TC/MuFnTjmA8rl9TyNStrRnhI4mZ81pjvApIs5XRIQJSl 5rmR/i7CeZB1BkMwFtjcCUxFIIhw43FdLGPvIWcC8/wkX7vOZTRFofI0pdbZndzgFucLRt3cLhsu FRvERjx/D9cO6x4AxVIQ94GgxkFINYxkGZqgAWm3yzWBqHAdkAqyGmx3n4fZsIJqCkFWP6BALMhF KsHdB1E4Ovw6ey9YaGiC3GdGAaS2iTX+7sPu7cth98HuPQmvpbOkC5K9sdV0eVPpOp6CRQOqCkRl iVfC9inCgYAdV3/znmhv3pXtjUO49hwSlt0MYzs6a6IkU71VA6y4ES7ea3Qalvl+SNUmo73Wpaa9 M1W0NBmmr5gPDuwETai5P4yXdHZTxKsfjafJwOwPuBQt5ix+v6MkA90ZxhSLHO9E4I0HV34CEsTb FjCToPI+hl3IVIZXOyBtijYWRjfJ5hudFIM3S7LO2SnQRCxWA9bfz95BgiEKg4EVMTwfGzDNYuB8 TLmvUEDEZlXcVQJLZS4bhaiY2GfXCIPk0X3ihkhfTG4+XznR8US5hpEqa4OPGTiY9ivRHy37BAtn rmxAl2i0MZOkIw0EOVosYWHF59FkfN+O1sKK2VIYTtNAJCWiGSGkQeoML+LYMIPwMTGyBEXiRTss pp0kg81ng1kWhlnnE/M9+6rMenLt5jXJ3LX4bM47E25QNzFfZcQVRzNKKa7/+srwTA2sSOPqF30G BjsjhaU4KfG0lJq1KxI0/VpS0zmcK8gOjIQ/TCWenXK8o9Ryygc1JDq1tXSngda/Ll2Zt0FlFsoM eEgs42xgUtd2M/BJdd/F1VbH7G6b0RLpk8D3x8AYvGOSsMC6lCum7GtNtW6XIpHGNqggZcjRB0Pa lelCQ4vSmb2rKxtRX9d5tmQNGfeiF6M0ljyWtmlGSDGT1hmyhqFjcicf2CyV83Zacyk6cyhK/sBW HIwV4yloq8TIY4jqXqjhoD8NpDtGre4OaLcj7OPPPkXplEKbJWJd+LncFPZ5rH8fdzIk77I/X+pK rentFmpG3cV5bUAFhxCNgzPlneVV2Vqv+w7CzMyMwwySCBK6F2yelcEHRrGt9BDgQ6ZmAWYru8Uf 49vpLZCUawWjFu7/Puz2Xng6/N0pOCH5MnDaPY1a43SswWTcA4FO2BMISBwUPlMYhpplBsRFMe13 OhO9ZYMhLR7GtxObMKj4Yy1AA4ssJgrvPLgVDcmCT59c50eIYxHDn+b5vJ5EXxyJNZhVbWqwCv53 tb5eD05F/kEGDrM0lkfda2kGuAgsM9gIWWawx/B4++t2Zx5SYtM5m47H685CgmxyPV5bJ3z9bpru c+kPdv8Z3TgQ2LKiiXQAZYjAjlhnNaW14MWSSDA5emQno5LAJ/0hMkoWfWheKp211s6a7NG1V6ou SLkvPzq2VmOAlOV/8fIADZ1FczCu9oUKBIROTwcOQEb6mvd3AyZpHCnaca4tuKBB6PJ9Jol1mxoQ ESUq1xWLspimlcB/ettfjsfLn95juebHxpy0LfGMITbCEVXcB6TDinnAfOUWao2VYButXgCaE6Fc MFiGsCyQgZpfdbhSI/xAusJxg4Ko+XQx0Np5FcnAT1dMdIVa4zSH3MGOOT1XkdUgQK66FkxmN+u1 E5OIZdxFwDCT0XTd5aqfgXXqQyNrT5XAUMXjHqGaBg6RxzkNiDOJLwmW8M/qSs+4Cyh6qpGoRQUz RwQoLtu5bwc12cjmIogsROZO0QG5cAoIxR5TaZ2/BtEMo/xx32bXiJf9/vHsXY7elz3MEA8kHvEw wqvyg3G7wWoI1pLx0HwOkLW+xNceAa8YwFpB68/KlumT7rvPRvYcLZhTlzH0uc3sSOs2a0+xrBjp NutH8I0dZZHpdVjUK9AjDHrpxBAA7DoEms0L9xOENApajYAPCKhnDLMwC5ia6lUB8BzLioYrcF91 DALQ054w0/325EWH/RNeMnt+fns57PRLHe8XaPFrpWeGqcR+lIg+3X4aEXtW+IihMyM8rhk7owXE RmamXAEKNumwJEuvp9Nexwgc8K8t3tnXpLDtMcLtDVtDbFfcQMteremU+ztzlQY1Z1RfhiXM1VmF Ge4uXWcOnSiB/TXLabQS6bUT6KBWt9fzyAw3/qWCGLUKSSC1cxV8dG09Mg5F60phH2Lf0g2BJ/qY zTiFEhx2VhxbJisiLOZL55EKVXPFeVynrnVs0Esw6kUEaPKN88cgCZgVD5QQfTGlCFg/ss2Cj7vt 6dH7cjo8ftM7qL3HdNhVI3q8ezibl5c65zTOzPNxC1xk4OOtp1pLlWSRxYoaBjlgnrpNAtjiNCQx T92V4UyUY0ZMJCsCQZV+PdZbZ3Q4Pf+zPe29p+P2cX8yjplXmjnmKhqQPnoM8YmEcWS+VoI0oxnL a1vhAV2PNU60ebGiVY+G0n0Np9L47ooaj0SAG5gw1KfzVolVX9oxsU6mVrG5YMuBenITvIuBgn5J oKPfsptC0ASU3nV+mxT3XBoldXPCugciN2lQ96MfuDm6KdvXRLTuqd6I9cXVLK9zjhYp6My6TlB+ a7PThUnzlnoDSwwzVwFX4x4oSRjvD2K+nKthU8Pe6bt9c9A1rYiRqVOIimgalMfj1Ew1BzZwmWm8 nfseM+FrRQ2Hk8wZVn5MG2u2a0IJDnYwUNyYFb5SKnrv9FIpTbuE3xhEYnbBnBeVNIVkIqpIeq1z fz3cOlHGrQP4KM9q6qJNe5vodXs6WyYVaYn4pG8hSbsL44ZWF8UjFxRkpp+VvIMKIaRF9m2qe2sf x4MdFHla3TC376D3CfGWKE/jjdNu9NeuWZLDr15yxDtM5WV+ddq+nJ9KJxpvv/eY5McL2EidZZWL eLYnp4GFcFXjImVFNN2vQqzsc2mAOXoRUWj3JGUUGltIJjZaS4xnnbln5UMpC6ZfD3eW09xPgx1Z Vm173kaQ5HfBk9+jp+35T2/35+G1n81rjYqYPd4fNKRB+YTXgoP5KmqwNRnoQdfmub6o57wsqXCa Gb6PWxT6gVxhXFt3YCfvYq9sLI7Pxg7YxAHD1BzLK89dDElCqTdsb23g/V1HbDU6V6wjV2B9B8A7 AOJLsE2mYXtHXOVtte3rKxaaK6DOHjXVdofXwTsy5RhXrpFveIAru1s1m29k4rxspbF1BNeDFSTl 6QbipH6PMcHHds7d/qOply8+909fP+6OL5ft4QWSY+hzsAaF4+FTxCgm+tTDmkiDKN9n4N8uYJH7 4odNzp2Ht1r7gnk2mS4m1zedjSnV5Lojehn3hJ/NeyD414XBd6E4ZLRlrm9eq6uwVOjb4IgdTz73 LN6kdDdlrH44//WRv3wMkMvDJwOaATyYTZ1i+7FEyrQYQmNbNgjRsV1XNmCuEDfAZt2MBpBZrfDw RB8rPP+AAMxqYG9yvBCEhN2xzca+fVJYmsvtP7+DM9o+Pe2f9Jq8r+VOBAacjk9PPQ3UHSZrFjgm OcvMAlYDNk4UeuyCYBsfcvYxBMSuy9qlGTicd4554P86VYUGFzK54Cn+eYUBxkM82bKszmVRqnrE OAtD4f2n/DmBZC3xnsvri86NqcnsZdyDz+SG66iG+HHHvUnyTs8VUF9JvtJ3XcB9Slshcr/j3wBQ rGL9kEXO8SZoZ69pAp/61Z8ZaZ+t17gIHK599bdCzOKcukbrPAdA8HwDqVcZ29aBtDI0mUfWCXeE dzXVwB83ASxeS8aHCGYHBSUi3rhRC+7/YQHCTUoSZk1AX+8tC50tzMoUeFRdU22/oQEVSwxKzFvT JQKvMVgwrD9YL7khqtHv8547gIKsP3/+dHvTR4AhvOq1B5WAKNRYTPX4warWV+8h0jyO8cNdra+I 8EbAuwSh8IcfVehhfoDvuc46tQkhJsAD7CBcunsA/6UZiWUbJ0F1R+FHa+ysoDTty4R68u319Xi6 GHVNgNbm3QSVd+yI/uMHbZkOMfNV4ry+rpER8SEplp3OIrvYhyBFxKx7s6e2VuZEGzvZTzAh6JJg IGBny2m8HE2sHIaE15PrdRFm3LXLwjxJNs3fk6mTgUDeTifyajR2tAB7HnOJZ2y4J6psvx0tC+Xt 59GEOB90MxlPbkejqXE/SkMmIyOjqBaj/s/ZtTW3jSPrv+LH3arNWd5JPcwDBFISY95MQhLtF5Vn 4tqk1pmkYs/uzL8/aAAkAbAh5ZyHXNRfA8SlATSA7gZH4ljzT52A7cFPU8MLaELExzceZql8qGkS xtrdbT74SaZp0jCf8MrwtbQLVbAC4xOWKCvyCI7HfK+c7wptwexOHWlK058jgCG8EsWi4OtHffdm C6Ok81EQaPPAQoz1oilyVewJxTVCxVGTMclS3PBMsWxCOuLGrzPDOEZXOfhW5pJtDl0xYP2gmIrC 97xIXzatlpDBhV7+fH5TPrtfhSv82+fnH1xpe4cNNPDdvXIl7u4THxVfvsN/dTWQwRYHHVf/j3yx oWaeWBmIdapPwHqUwI6rq1YyUP7+znUzvkxxpeHHy6sItLYIxDLhtR2cGqEVupaF1kH0gIdpAOej S8+G0b5QWfY6+rwjNzZgGKUU55X4Cq/AujXmoZ6UOYTpQp2VIYHWlJA81/1jBEWcfu1mtyxRAvVp 6TT8N95h//7H3fvz95d/3NH8Axeov2t3/GpJGHRLmUMvaabRw8SJhp+ZkuyN8T1RUWs9Ufx54tTm OqDz/8NBPDPmUYFU7X6P28YJeABbD3GAazQJm4T4zeoQUCtFB6w+tKPrnjE5SvH3te67DBAhT2T/ dUWvyi3/R28wLQl2CjHDEH3OtPKQUN9pdZm2dlb1V815FvfIrs/lB1sED5c+J3TVXJx+6PiOy53R pdA3cBORVEeyKq81hqY0MibRlAGoQ9ASxlLLaVxD2rbgI973aGwM4BEu0FZenWhQOb0sO8G7/355 /8yz+P3DsNvd/f78zvcri5WRJk2QBTnQEtn6CTItTsQiPbR9+WAXHz6DTkios4pQlFY7cEb5miO2 Irg5PYd3ZVU4ItQA3A2WkaeGwY2SpjVMRrSqMHo55AhZa3OTricMBczLkWaqjhEsqcldEXOEsoYi YL6xP1o2KsvE/3AkVfl0xbeNFQ5NvSYUzOhRrOyc0Gl0IXBbdMLvG7ekL445viXZO7woePn49thV L5ha2wr/GjviBeT0y0n0jIgv6Uh9urEvcRnrN1XtCKghrK1dIOkd/grguyEv5kw1HMhOaQHU5YQj LV1kjitVJf/CVaYvv/4B+sXAJ4vfPt8RLQyEdnSyhPz4ySSzgggRMYz9N/TFqWjytr+EtDW8YNTx bUjjFPddWRiyjcMeQWVNKkLhZJUa+zyluLHBZc0wpa7Jk+6CbEA5UuSmphVqu6yn5MO2YSXBs+0p Tj/ylcDwppEUvlfPMtwSZ0ksw3uabbyN8Kbd0hrGssOy4HFgRW1vedYfnM4HsZpQcir1UEg6JLzA jVrui7psyll88PkTH0NaxsWTite6zJ2Ccmm6gc81DeGfAZMIu+LrnHbHjyUbjkjX7+rTRz9zudOq 5Pu23Vd4uxyO5FyUKFRmfKs/4pAwb8WQmvRcKTLcd+tTjZv468l4GtK0RnyiuhqHs1jS8Mm6GneY 0qTnWtLedCW+H7IswuMXAhT7VyD+RZeNoPa9dtXnDQ2yjwke+ImDYxBx9MZYEjkPXCrRRm8Ic2MF 69umrfHub4wgrVzkx33xfxPNLNx4iFyS0TVuFENnr0FLm7BDi8btXT7a8e0xBIND6wT6CTgZ6aV6 oCT1PM82g1vhToPHBwoHDS5n1b6+2U49b0rYtWAl7sE1qkehgdTD0fSBGMb9trCPMpGURfGAZ9lW pN9VpMdFYqgHinToUNONTzf42IE0G9+/MQ1xnQRu40d8OR6YEHKjpqzmLf4TVX1s2o6vEobF2ple xmpv9dg67ak0Zn7+kyN8A1AyLECDlvBcPlnRGiTlco5dYd5mhvDWeJdHgXrm6nCQjKVbDBVPVXEV /GbFx7LHFSAAgs4RU4rP5MouCx/ch0fLNlk7F4LJGObSzSZ2hOvtKkf0iK7D6YOVQCiLh29v7x/e vnx6EY4t06EOcL28fFJG5YBMPmvk0/N3vi1dnzxxJuX9JnVibYMGECUM7wcA7/m66tDqAe6KPRns AzgN71mV+TEuRguOj0bA+WqaZiPueQU4/+OafwEuuwM+6s6V6Xc2mfpfzqivDrDPymRes0K74jMw 80aE/3Ta0pvJal0P0SFN+0RQyjfYLQ5Zuo0N9UNpaBRwkIJaiegJF60IA4u8JM6W0XUKBO6Jsj/G sAJ2HC5QPyPVAd0aU6czB//TY64vazokthxFY+rWapbpySPiwHf+UpOR//3j5fXl7e1u++Pb86df IXzjck2liR64dJRB5Hm186z5ZoZafjfc3rGtsYbuyH1R4VOfxkVYlvS7IMRHtsZYc67oY3STj9Ig Dm5yEdvRDGXKd2ng0I71ktE+8PD5W+M6nIcSPwUSQXcQ03rt8Ct33IRat6aXzrqxVVcg3/94d94m lE131CRc/BSehjZtt4MLetuNSWLgZe3yAJcc8m2Ne9yATLLUhPXlCCyT4QrYdr6CcGIOpipRCxEX i5N26WnQwV/iONp1mdGBr8FFcxl/8b0gus7z+EuaZHa1PraP1+tdnG7h1qyudZnLe0KmvC8et630 olg2ZorGRRdfiTWGLo6z7GeYsLOdhYXdb/EiPDDfcyzYBk96kyfwHbvFmSdX8RL6JMNvYGfO6v7e YVYxs4Ah1m0OIfOOsJgzI6MkiXz8RldnyiL/RlfIwXGjbnUWBuFtnvAGD18h0jDe3GCiuLK2MHS9 HzjODyaepjgzx6HszAOhOuDQ48bn9m2V78rhoCz4rzMPrD2TM8EPcBeuY3NTWMqHIQlu9EvLpzT8 mG+RgTq4sPZID1YcPITzXEWeY7mcmUZ2s+CUdHyDipdcmwCv4Hzug1hi98j0IBlE3CxtbZG/hT5N aEGJ5umgQ2UHShoG7RltUeBAGq6t7FHsfst/GHdaC4bsOkwm6afBVSGuOUf2KiI6TK4OWiUXItyp w/sXpWnFo3NkWVdnCWpUo7ORfEizSLNlM8E0S9Mr2OYaZjopIrh0hUVx6qoW6fl66kPW+C2Qzgpb lks9YsdFBt+RT7nlSMseb+vtMfA9P3SVSMABtpTpXLCvaJviUtImC/0M/xJ9zCiriR95hlStOPa+ jw9Tk5WxoVud6jo5I8uKDuOw7GMwFte5n86bk41n7qgxpseGcDF3fe9A6m44lI4ja52zKBzxKg2m PanIrcEimSbvK7QLi5GGnv48gw4ulwsIuG/bXI+RalS2zIuiw/umrMoAgiegCYdkeEwTH0+5PzZP haMa92wX+IFj7BfW0YSJYRcQOoeY8i7nzPN8V+dKFmuQI3xcn/D9zPPxSnBFInb2RV0Pvh+5CsBn jh0ZIKYkvrwavOLHjZKW9ZgcqwsbnDNb2RQjenljfOs+9QPHklA0wmXY0WU532exePQS1/fF/3t4 E+VGGcT/z2XjajsG3kthGI9Q25utJ2fem2znnGXpOP6ETJy5HuqPrlqK08S2hkeb2K15saZ+mGYh 3tzi/yXfQbjwgYqJonXCgeeNKzuSNQ/2WteaK76eSXojk76+MKcqMZRV4YjqarINP7UuD8wPQvzs w2Srd2gsUYPp2O+4xhe6dYlhzJI4wjHWDUnspY6586lgSRA4uvdJmmeh2fbtoVZqgSM11+3lha+t GJcDJt59XdqrsyAZCpagGM0gKfXWouw8rVQTRcmqyRnkyjzW5vf9FSWwKaFxWalo6NNzAorjybLt 8Pzjk3DjL//Z3tkGkeaIEj/hb/WQ0nJbIYCO9NZuxYCrctsNwTpZT86odEpU2ZbwlM6MOQbuB4bd pEzbUzuhzdFtrzPIEwL040erdfakLqzHqhTl0gxxnCH0KtINHbGeWGyXkbM/eWj8+fnH829wzbPy eGDilZDlCtAVKX6TXTr2qB0USit5J1E9zhrEs+dUJSI0w5uO6oUZ5db548vz69pVTG3GhI8SNR5L kEAWxJ4tJ4qsPQ55xeVYT+AnceyRy4lwkhERQGfawQ3IPY5RaR7nLBD6NKSRgW7rq9FrsehtcbDp xZ299lyEjvbwsG1dzCxoyYqRFU2ORprV2cjQwdMNJxXvB6+ke4jORWJBhtrrKCaIULDYwUoXo2+/ f4C0nFsIirjOXJvJy/Rc+Qx9D5MLiVz5NNSs4grIqqUnYGlt3+IwXyfRiJpYmOBQ7sqTi+xORWkz dkjzD9RPyiF1HPAoJjVJfmRkbxt6oIyiq+0iaBg0qXhEaSV9OtOWHPOej8RffD/mSo+rVIKXrm1M TeZyNyZj4q1Kpa7+u2EqtP0Vk+H2hwyTwIXm7BnAuHjI5vBXn98N1aXqnOY1OlfZQGzUW6wULElE CJ1yX1I+n2IW65PkixiqYayvItaka6egrK+ki7Jd0UZ6WORGQCe+Gc4rTe2ZT2eZ/gKVTlWup8is CWFAMfcw4YYJ+ek7HPmYY9lgp5KH0xSMZ1UJ8XSWGaFAQ0Tl+ZccJpdQevsl2YWmwuvNa56g6rG5 q24tRF1n3Gkpu2ekccqunp+exw5iu3qr7FPkbT3o4XqDHc7IM6IqwhbcS9/9hugJSxs9NlRcvTgu AyDKF0ThjlxBbSc40n0UaR9Eo2H9301mFeidtrOkU468Aaw3dTnlnpPQQovnQdwhpBjlfzo8KZ9U qkeXH9la49K/CX3Axfc4MPHijIyktb4Y5Du39RWuHu+J/7iIE35woDckJaDqDUNMTgAUD8WezKxq cXkq3WP/eH3/8v315U9eAyiHCBSBFYbPfVupAfMsq6qAxxe/WplO4Q6M4km69RrOiqNiNAq9xFEL 4Ogo2cSRv6qJAv5cl6Yv9lhh6mqkXZWj3Xm1OcysVNA00HMdpeb7v+Psewe5kdd/ffvx5f3z1zer aat9uy2ZWTUgdnRnVksSDZcoK+P5Y/MOAiJlLT26SNxfb+8vX+9+hThaKh7L375+e3t//evu5euv L5/AiOyfiusDV84gUMvfzXJTXj8rxAWQ8wKeyBbx7+wzFgseKoJGYbPYZl3RaCBz4ZooF/kOT9l8 tCKBAUMr7hzN0vLmdHxgKGtWWKNQ2Sx+nd654yP/d77CcuifvLt5Wz4rO7tP6ygrolZlC7ZDR8dh jWCpGod5CpRWRjZwtFnfblu2Oz49XVquY5r1ZKQdLsXJqiMrm0cVtFMUtX3/LEVfVUcTD7sqOzvO vyaQqPAZbcuOW7N8QhasDgCScoBeS5F4ONdlOL+wwJC5weJ0EtYm5rlcejg8Cg9zcIoKvaX5yp9R snR/XlbarnRaAAKmkv9l0MSaJ7fUXXlXP7+BtC0uiWvLEuHEKtRvMyewsoV/+VReNoWJ8dloSyyL bCAfGagbFWY1DPjKOUXWcBrIFv1seSxLmgpMaDaSa0gAuJJDDYMQr6Bo45FhgcOcvoBS1al3qSpz Aya+swpYa+CtHE2O74D5u7BwtHLle7qsHBIPPdICXG4hjRKawYaAMtq+AIIo5ipHvk+PzUPdXfYP xrmlkIt6Dh8lJExbEtf7cSjNcdT5ux/f3r/99u1ViaapWnZC5FzWU6L1Z3/RwvEcIHCxqkiCEVM/ xSfUVGJ+V0wmcFJyLZXywxIvYvZtZbbMKjiOCLY5/zoM5g9DZZPnq1xUzThSC/n1C8RV0F7jBkd3 rr3p+wfDOpv/XM8eUsvvhik/LC4CJOQaPri+3EN7YHsMjUec52mhOhZkCdOD5W2bXM1F+5d4D/v9 24+VXtKxjhf822//RovNuosfZxnP33JdlmuxiKZ+p4zzwcDQ9YwZhF9/e3m540sdX64/ifiTfA0X H377H90Vc10erThlA1tIpO2g4sZ7zYog4kVBXBwVUCr253fI252lzkxJyv7BtIuWK9aaWb6ZZNFU oFmLKkzBvGULIGNtfX3+/p2rfKLXVqe0Il0ajaOcnr8adLW4mMRVHDNBzc+k21q0HYN/PPOZar34 6GsvBl+PtMehOhux3wSxavclPWEXPbJltlkypKNVwLponuBC3mpvUpM4D7gctNujlYL3BdXPsgVx dncx2q7OLzt60OO6XOmPWXkX1Jc/v3MxX/eTMgNdNaeig0yhE6tiajBrXtnOZ94VOSpNnt1mQA3G VRkU3S6DziL2c+E6qaJfL75gclifKoZdFqfYqihg1pU0yJQsamqg1eBy4OzydUdYrdmXT22DXQoI eJunXhxkVttxqp8JqpmZ03ZnQeN1Ikt1MkZDl6WhLe1AjJMY6c80CbxV/hJw2AQLjp7GLM5Cd4vD TXCWWB8U5EA311rIWWIPI0He+B5ODuy8H+pRfNAsKGKFqcPKusFOBWS7+tNIXgvIrCZdHcF8pvWT CGvr0N+gHojaUPTXg46GYZY5K9aVQ2s+FCfnqx7M4XCzYpmtiNKN1hypoTT+H7bYkFGpENQeT/t9 X+wJQw/CVaHo/VGz1zobzXH2QbNb6Q7+h/9+UZtVRGvliaYH8YYg2mDtaLJkgfXNGfPP+BnjwmNr TSuGYV/qqwVSdL1Kw+vzf/RrYJ6PUoQPRV9bxVQasOsMdeaAOnoxXkqNI9N7wQBEUHD11ADGoVv2 mEkTBxAY753oUObh3gNGcnTUmxy+ozZh6AQuVL9fMsEMB2LdnFAH0szDv5NmPp4iK7zIhfipvsCZ sjIr+u0ZzjdPxgWKcBGnHX6KLlNA6E/sgEqiw7HrKsMUQadfeR7UYHMFkuxyIhm1GV8pkSSn8H4o H0KPWmBWMmabIJ7TLNIhJvsLyOgRdXyUuEz3l06NvZm6XC/AwxGCimSlCjWbjWvHSweIjdQLxc3T TUmnJLSjpEPI58DzDbO0CQF5STBZ1xl0STPomqAZ9MAIBaeQqti3l+KErfsTy7A1X89S1eVkVAJk yIYVbmW6fQjS0XgXzQRsS2obPuS4emnz5exy5OLGuxa89K41qVDb1uUBC9rUMw3OLQzT3AyWwEfE xS1IXPnlgmS+DTVh5dDBJ7EbPcUhBotuwTYBSnFaA6BL6huniW5u15b8Rf8i2bAwif11dfKCiUN+ 0RZRoodl18os1FMXsglRJNtsUheQrQvIZSLy4xFrVgGhOoPOEcSpK3EaYiutxhHLLyNAZkYtmcdX vQ0jzCx1Eq09Oe4LuJILNhEy5qcbfkxwexZ7ITbmp4/3bBMJg0OLfqSD73kB0rb2HmkBNpuNbl8q FgXtBA5+Xk76I8KSpK4O5LGKND6SgfuQi445UG6ehj42ODSGyNfWW4Nu7OUWpAaHGof9h86DCYDJ kWAfBmDjAHR1Rgf8NEVTbLjuhQEsHX0HELqAyEeCF0vAd6RILFtRDUKf+TU5YiTXIUyx4g2U73Kx UowQ7r2Zz4WRlGA5h9DZ2CH5Uf4XKXtQpdp1YwhLBQgHhtU6H5LgWp0hTnPgYxInVyLbjxhjitdl 2qU+V6V3OJAFuz1W1l0ah2mMm2VKDmXpLxzPVlnvq9jPhhrLmUOBN+AblZmH6zq4QeaMB8hH5S1y g331UB4SH90sTBwlHD2e5ePvNsSydE39SCNUuLm62PvB1Z6GB6DIvljnWbX0wNdS0q8FT87qSP9K ABn9CjBN3m0QD+wM4MbDRBHsPXxHJDKdJ/Dx3ZvBE7istjWe6NokKjgSNEK6hLCw7rMEgycUNnMB kHgJ0tYC8ZG5WQBJhhUEoA22amsMIdcIAzRXjoTIrAsBzuV8h30vSULcYdzgQbVUgyN2fXmDjAdZ 2A2WhHahhxeW0STG3cXmxEWzC/xtTZ17x2XNoOOISHqdhBg1RUrKqSEyHOoUG3d1irQCp2YYNcOF tM7wczqN4ar819jMVNVYL3AqMmlyKlrjTRyEEcoeBxEyZiSALNgdzdIwQcoDQBQgxW8Yladc5WAY As04ZXyoIX0KQJrGWENziG+Prwl809E6NR2MlpLusniDz3ldvUVd1qe0w4H5iPBwcoBocpwc/rmu MSdTpM3zuuCzAzLzF3xxjjykXzkQ+F6IVZJDCRw/XBVHCKUXpfW1WXViwYRNYttwk2JLy8DYkMbX 866TJMbS8rHvB1meOSJ3LGxDmgU/wZNeKwbhTZVh3Vc2JPA2OB2bmjg9DLCMGE2RwccONY3RVZnV nX9VugUDMmQEHZmwOD3yEJEDumMmr7vYxzaQE8OJ+QG22p6zME3DPQ5kPqKaA7BxAkG+ro4AQqzl BHJdVeEsVZrFjjAmJlfiiGeucSVBethdaSfJUhwQjX3tp6sjjrs8MZWaz5sup6WE0UPeonZsEJGj HYZya/hTDFvjx/RUrnkwtKU1+V/KnmS5cSTXX/FpojvmTTT35dAHiqSkbHErkqIlXxgel6vb8Vx2 hcsVM/W+/gFJUswFKc8cahEA5p5IAIkEiI8RLFgokWjKeVBLL7w5ouM5/WiDHuKXejEEZ1rSUWsk QlMcoYmIdMfhHlRffrw88PSlxmSG20xzl0VYkvYRCOx0LDJOAKqsTfPbBW0QkJuS28Ub3yfVDP51 0jtRaClvnziGx/hA57pUSmp5Qe2LVNTpEAGD5MfWSTKUcXgW+6Fd3tJuYbzIU+NY2ht0iaRE53pD yE3sKCq2LnV3esH6jjr4s8ZMuw8KBJK3/gXu67CArCKgpbcZrYTIFJFF5ahjuUv6HN2eQJElXzTz oQKl+yQLKQL4SncXiqm/8seNE5CxWBC5Z6Am2HykBWtcj/7MHUtdGQaFS24mWMAUkknt6yEvFU9+ AcnN4GIMihXoy8vyYjBXu4RmZT+klK4ZPflE/NShPgkVvRxWqGiDvkAjz9VKiGIr1Ejx/oqgjEMK GCnAPphkarnbACU1TY5c9ChxsPI7/gyDzCuJbG2+ppJqGRgmPqyVDBwCQZv3R7m5wvXFsnVnyGw+ Wjf8Ajdcp/PyualarmH2VVEXQnuILFra49jK7wODxIj4Lk9NsYA4mnlhcFKCDHBE6Vs2AVJOSQ4/ nCNYqhJzSTYn37KuxJbH70DcMrZLcWJDmBRgRBlzxBeNG3tmZob3QXJ8QrnsojyqJTZJUSZkLIqm C2xLvnSZfIlMEZrmkBOm6lc/JKkBEzymy7wQOLZpw2C3FD8rAYyeVj+1Zkh+Txeo5PZ0gUpeTwLU oaGyGU/CSDa8GQMM1BVj/Ew3faSgsuCSY2ZKHXRbBJb3wZK8LWwndK9tmKJ0fVfbo33q+lFsnN3F 5UssR7eSclFj8tnT5LAJbAiDI1Iorzw4B+y8sHBoCxXvdOkripeGNqzqCY383tAqjozUBgHUI59v zshJP9BguqAzw7W1M2kSFIwSHngjqes1zl95UBd0ijwpjVow8gWh/I2j9b3rUQ6hNPOZJW41SeA2 zWLXo58wttxpSg/3Jj8qNMn/S9WYjapIJkPVWvQCND4TWim27ISRG+qixyuBnzoBvjc+To/Ku2OZ GyrCSCZdgw+uF7qrtYLotJP4koSS5S8FFViS+WbFosYTBZS9UqDJfDcW5lzATBoLXfSigFwtW1tQ EmpeUTTqRI6EJv8I82ry6VVIfPPnAc03JCLHpva6QmJTPd4mle/64oWggotEd6EVN8soRHMmXeBq cyaSwXfJollXxK5FtghQgRPaCYWDYyMQT2EBox8EAhJEmtCmu8Jx12ePu8CQq+IiFZAFg2hwfQdo 0oOAms5CQ5sBGYTUS+uVBhUfXxaFJCRXez4qYfG7oYuIAo9SFhUa+U5ORsZkaDWFRk78qyA/2Hia H5CKIvmAoOkZBy+mRWSFjL5oUIlE3w8BNyvqSugyCR+Klx8yKhLN7iKqsWFSaVzje7ap100U+R9M N5AE5O4sm09h7JCcADVVKSDaBYPvQDyf/IhyghOw2+NdbsptI5ANwPcMEcwVKtLxXqGJDRuFu9vi K8OrRXAqDK84YMABsiDzIwyBBmQmaixVRXnFCGqnjit2mCOIPP87+MwKEnprAjJyvOtHNKcJK6ps UFp8O3DJNgk6I4lzXBPDmbRA5/oA6kENVZyogig429xkWR9UcZ7hDFl0xo+bHNuG5beohh8VsWiJ VBHGRzWCZIoPKamBURURGWM6Xfh2KJIN22yoalOVKeI7fUk8K1hrSIGGEQPSOsvJnM4cO8wJa8Vv ElD227ysybCnDMWdk7/PBK4KMCa5EM0ADGMjAcs0n4I3XKpj6ICPobiopcow802bJ+Wd3GEsfle3 TXHcKSlURIJjUiVS7T0mXGGtNJTL+22JcHoRKlJiS6ZYzjoIAz5VXcl6KfgBopW6Tpv6NGZDpnSl r6lH+OlshVtLREhV92zLxHp4piKOw7cGSnBLXsg+dA0XKjz8/LHo8ggpjSRtwqpun2T1rUomtWGp XzRIiQjM0twbAhothJusHXiMmi4v8lR6ljE//v38dL/opJgSXryRmkYiKTFy2zoYEhaWRFHvxn4w EWDksh7n1EjRJphvzYDsstaEWl4Fm/D80YU4h5f3tVqXhaF4eH17pF6fDyzLeVa4K8MNP9A5lI7a lQ2bNRO31BSpyjlr8J9P7/fPN/1w8/oNrQbCrGA5UrZfBGCSqCRLGkzd9bsdrA1D5By2YCxZVZOM ixPlGBupgzXCgM8UPJFzvZNrORb5ZIgQh5Noq7iytGtOPlK4C9apmbJiPf7z4f6rEJCMQ5OX++fX P7FwZEwk8rfPawsIosyEFTsm89AZZDS6XPBsgxHnS8GguqCSSHwSLXyA/4hxgTXUFMDorIy8QEHU BigrpCo8lv1o2QQiPU19VsAlCNoncihwGw9XxmJoQkt0KxXhDlnkromajgrptxBU9QC7GP/r6OXy s8chm9r3jmUdyX260GAKj4S+M7/M4Da2DE8HF5Im7QeQfmlb9qU5tw7tU3OZClbl7e489obeDGqq TbWhd4HlhNS3mJu7Yl0yjeHVVg6k10/ZTW1oB3kCNk7qzFf/zagtJBV74RkCTdLZXI0Utv7/4Bb9 5V7a079SO7p7/fLOg0t9fvzy9PL4+ebt/vPTK727F8ZcovQ0BwleOM7D69evaJDlLEpntOm5aTHp 45a1JY9eZOzkle4rXccR7VhS1WMJEys5El0wLSURDF6xHnhrjj7pcNKiL2FrzB/h0UpgJ+Zdpr91 eI0DRSwhzcSQUthYniW1HfTzTIpWMYHuXx6enp/v336aDoSk7xOeSF74CN0QkrXuVQg7ZQ7ozFNI nlY5kKWWSCUo0sGx4i8+p4J/fH9//fr0f4+4BN9/vBAN5PQYEq4pxGtaAddnic2jVWvy2gUfOaZ7 RJWOvqbUagttY1viSPTplZB54kuZSXSk4csSOKvogKjiAmPnOZZSSRQiJwiMxduuoc2YcU485ETc KXUsOZaGjPXpKKYyEYY6NTTrVEAJfncNGxIi/IxPPQ+U5w/HJTk5tviOQF8IdkRjt6ll2YZh4zjn Cs69WqNj7FUUtV0AQ0bH75KKOiZwyhqc16R959h++CEZ62PbpW/pRLI2cv6DtsHkuZbdbj8k/FTa mQ3jZcgqqpFuLCW1yBpNluBDIoP6/sgZ8vbt9eUdPrmciPyG8fv7/cvn+7fPN798v39/fH5+en/8 9eaLQCqcCl2/saI4VoUGAAcm2+eEH6zY+rdBGOFY2ZQ0gwPbvvZVYItLlOszsHFERsNhUZR17uR+ TPX6gcf/+vsNMPu3x+/vGPna2P+sPR3k0hd+mjpZJmNw7QWKZFtWUeSFDgW8NA9A/+j+k8lIT45n 6+PGwaTFkVfWu7YmMN4VMHsunZpyxVOGeN5Rf297jqIs4KTCaasCN8HEErXl4cTG4qd1QH0UGwVc PAwt8Z5imStLsqUupE6gLKQh7+xTrH4/M4vMtlSlaUJNM6LXCuVrqgywMHXPaHOrtHQChgRQG31Y e+o+6Ds40RQ62BhaVzCYWaJWPQ0dFxsui7S/+cW4Z+SpakCmMPWUI7XRgV454bXRAayyjfgydBUg bFhlWxaBhxEpiN55yoBVp55arbCDyAvAZaO4vrIAFnV/Q4NTDRwimIQ2amMAHtOSiNAvZReihmq7 akl5al6NuNfcQFt4IE47VqtPHcA922jMavvCiVxl0U1AdUaRg6qNRwVw3Cpa1V1mw5mLxqg6I1rJ XQ0u6zadeb6RseLmjxxt4qfRNLy8FwhMrHdic+HSlARzrf1Svb69/3WTfH18e3q4f/nt8Pr2eP9y 06/76reUn0+g9l3ZYbBUMTeZoeK69e3JTUP6CMG2a1rKm7R0fdUEVOyy3nWtEwn11QpmeEC9pZ7w mM1ZY+y4jy36ASlfAcfIdxw0cJjlDSxCftswhUDssutsSywjdrQRg90WWVfkHM46HaujK5YP9b/9 V63pU/T3oQQHz72E0V1MlkKBN68vzz9nkfC3pijkUgFAHWNoFrRC8oTjqPiynbo8XQLTLjaUmy+v b5MMoy5S4MVufDr/YRy+otrsyaAVF6QmeQK0IZ2CLkhN2EFfHzoM2QXrKOfDBFTYOmrlrroRumhX EPsAwKTzGC+n34CIqjJE4CVB4P9bacfJ8S1fMapxtcnRjnHk8q7G5fd1e+xc+rXLxF7Tuneo+0b+ dV7kVX6xfkx2MAbr9e3L/cPjzS955VuOY/8qBCvWDTcLV7YIPaJRVCFZv9HUGN6M/vX1+TvG5oUF +Pj8+u3m5fFfZk6ZHcvyDOfHFeuPbnTiheze7r/99fTwXY9mnYkZAOAHJiFlY7ZhFLSTnHwRnjXA 005Lyg1q6JGIB58plYomaJcXW7y1EhYA4A5lNyebkL9B+HZDoqbioD1lhxmtm7qod+exzcUAwUi3 3WAmnLzEi3Mm+vqvyHrI26Qo6vR3W0zrtBIUecJDLHfmwIFIjLlPRtCEs4s91TRADV6Kyk3ZYURu fOZnGAYTDr/r9tAsEjsok9Cl+/ySrw7dvB9fHl4/o2n47eavx+dv8D9MgvFdWjBzlhUQ6gJ52qYM EoUSx3PBYGB6NNLFZJo0jWq2KgoBaU1tm0SStpQy+8zfiWC5ScMup0KYcRQMsNyzY1aoXWrTpMXg /fuMdFW6kBRDpizBOQvSrjnK8Cap8mKZjOzp+7fn+583zf3L47PMChbSMcHC8raDlUym/BIou2M3 3lkWbI3Sb/yxAkXAjwOi/nFT5+OeobefE8aZPAwrRT/Yln17LMeqCFSmMFFhv6+2aTYskx/nBcuS 8ZC5fm+7tOfgSrzN2YlV4wFaNLLS2SSGZwXSF+ek2o3bM8gKjpcxJ0hci3qVtX7DMFPeAf6JXUmY 0QlYHEV2qq6Xmaiq6gIz+FhhfJeS0uWF9o+MjUUPLSxzy5cPyQvNgVW7jHVNkZxhuKw4zCzPMB95 kmH7iv4Ape1d2wtur1YvfAC17zPQK2K6U11SdscK02DGlkcqYmuhQLUBPfOTGPdMRu88P3TpPlTo vlJEoBbuC5sUnVbSekiw9Xyl2+TYCSSgVZKboS5YmZ/GIs3wv9UR1llN0rWsw8h8+7Hu8QVAnNAd qLsM/8BK7R0/CkffNbyNXz+Bv5Ourlg6DsPJtraW61UmOf7yUZt0zSZv2zMmjlhTAV8dsTY5Zwx2 dFsGoR3b1IgJJKBkWnQf27ra1GOL1/OZ+1FDl6XTBZkdZNfXzkqbu/vEoWsXiAL3D+tE3jQYyEvr +voGoihKrBF+4h341rq+BMXPksSi1k2Xs0M9eu7tsLV3JAFIVs1YfIIV09rdSQwsoRF1lhsOYXb7 AZHn9naRW7ahr6yHCWQnUPnD8KMOSrQutWIkkigeDJNWV+cxSU+e4yUH6kmtTuoHfnIoqY72TQ0S hOVEPWxIQy9nGs8t+zy53klO2uxs27Dc+/ZYnOcDNRxvP51217n6wDqQO+sTbqLYiWOqC8BmmhxW zqlpLN9PndCR3Y8k0UD8fNOyTHwKJRzaC0aSLlYFaPP29PnPR0XQ48meUOyXZjbdw5T2UCbKgKKX NJdl58MIQNWUjkyZAJQLRnQope78ua6BiZb3rMGwNllzQpf+XT5uIt8a3HF7K7cFxcWmr1wv0Fh8 m2T52HRR4GhHzQXlKV+B9Ap/WKSE/Z9QLLYc+qZtwTtkyvEJi8IOOT/9nlUYnDwNXBgbG+QRuU19 3e3ZJplee4aBdrwreOqFCEEWacXASbFtPPLV1IzvqsCH1RApYj9+2WS201m2r47a5CwJ+z+pToFL RqRTycJIMv+L2KyhFIskG0JfDQei7BV9oYsV5H2VDExjTjP4ahwY3r42bXZHQ9d2pe0cXfH2AlNm IWZ/ilw/zMRaFxQKkQ5pTxIpXM/WS0WEJ07RgigZ8ET3U0/V1+ZN0pgShc40wMH9iL5oE0hC1yet 57jzeQZ1efHnp8mtF93m867vDMJVXvVcXR8/HVl7UKgwadCUeHRhb9u3+6+PN//88eULZodTHaS2 G9Ces0LKALfdTH7RZxEkjtSiwnOFnuggFgp/tqwoWuB7UsmISOvmDJ8nGgJUrV2+KZj8SXfu6LIQ QZaFCLosGNyc7aoxrzImx/gE5Kbu9zOG7tUG/iG/hGp6YGnXvuW9qJtOak6Wb0EyzbNRjOiAFSXp oWC7vWALAmgJJ8VsyuiUBqDWi53tWaVHIJKWwF9LbkbNogfFHIe8S6Q6azh8lbSZ2Bk700LIIBjj U5C7giO79Lil7B1YcVZIFbANcItT7/niCyKAC8GnV+D8tFkiLHMUtupSXte6no3ADq+dQpJnkruH D+rm/uF/n5/+/Ov95m83oBMtHuWaVRH1pbRIum5+HbK2BzGFt7XglHN6OZweR5Ud8KjdlrRxc4J+ cH3rk2BHRujELk9yNZxDiqFqENhnteOV8tfDbud4rpN4amuuJOFCNIj3bhBvd1ZAdAMWxWFLKh9I MLF+uRmgObrA84VdfdkR6mBeKlsppggRRHUriR7vacXNL0fJdbxS8WdGt0WefUA3PWK62pgkw9eP SiYACUleu680esj/FadHzRHKvjyWp8YwcGO6SQ0eMIZYWyvV8jrwAzJDiB6hJYPvWGHRUGthkwW2 FdLTCJLIKa0obiyUnWeiZfWDPb18z/1tFWY8o9ACKuyyelfLv0ZuOQFOXknP4wXUsEts6nm2QJIW x95xPFEP0m41ls+6+liJoQyVHzwzYiuDmrSUAV3+adlvErxNbkuWMXGRILjuOrxToDzKp9LnSn/K n5nfqUhky+snOAjGhM7rirW0NaYoFtydAThgxKku50gzjlX9QWubKU3vNDpHdLxuiUHDWyodjIM2 5gMIcjROHdDZO1s71/fZP5Ifn59eRSP/BSYWvMe8OCAk4UUOnIF3+e+BJ1WsJCYGEP0QcJ7AlCUq /QDCa3ogM//wjzIeF4gnNJens071foFUqZ2jAFxHC36saWT6Nq92/V7YhCzDl5JCC497UlDFYpYk mctV+LfHB7xwxw80CQnpEw9tm3JTkrQ9ngjQuN2KreDwpinoFyMce8RZMqI3eXFgFEdDZLpHI6fc inTP4JcKnJIPqMAjRsCQYGWSwpJRvobNk7FDfu6U77mfqwKbnlDIQJiaXV2hjVhUbBfYNGICeY7X nFu5CHzLKAad5LA7aJO4uKa5LTespU9ojt+SAg1HFaBq1fJ7eoRDLdyIbCzzcDZP721S9HVjRA8s v+XmbVObzu10USv1nOHDD7WZrDe34o9k01J2OcT1t6zaJ0oNh7zqQK/o1ZqLVEm2xYF5pgKqeqgV WL1j+jZaoPijkZ9kL5gtFfMWse2x3BSguWeOsukQuYs9y/zp7T7Pi47Yq6BBsrSERUBdKE4EBWoZ 6q4586izMpS/yt5ptCxt667e9goYbYqtvp7hVO2ZtvwEgqpncklwUuYHtRiQ39CMAyvcvDWavE+K M5k/nKOBr4CEpLCGCahYC0TMRfIy1ztTovj1IU2e0XKCSJQy2pTDaYqk4jb59Eo5LV4AG9HASWGE r6D5vYdhFHnSGJDptBnq+jwxcSbAwXKFMytXOCtU1BRHBdiWTOOKeP2VdIwW4HlJZdL2f9RnLM5I 1LOBEtw5qm66XOUDaNvdlWpj+n177PopuaWxqiOe52PTUTod56uMYXgFub4Tq0qF7dzlbS0P0QLR zp27cwZHON+v8tDwUNnj/rgxH+JFo4zakhaVkC0ueVFloWeVXLrNaBZeGnbxWFnK2LwCWfP2+v76 gN58qgiD5R02wtTwd7/I40RF6IPCVDLp9Tq6p5ASHNqnJylOcmWRaC9irFiq0NJ6nzLZ2rZOm/yq XABO7z/FmUQocI+xbxm1N/nb6aJh40ZcK1NRVaUEYOWPcFs8tZJu3KeZhFErTaoKFLI0H6v8dgkX osm/5dP3h8fn5/+n7Gm6G8dxvM+v8LHn0Nv6trz75iBLsq0uyVaJsuPUxS+dqFN+k8SZ2Hnb2V+/ BElZIAUmM4eujgGI3wQBEATuXrrT+1kM8vA6VSsty8Vr8QPooAWjmaqg+1q1EoPbLoV4t03b0ijO oMoKlsxhCvZ8266TEvaDPiLAm8XwiuxubK5CWeChgLAUW84ChX5VJrf/8PQ1ue5lcrHMTufLJB38 ETNqYafRdO84YhK0qvawaiRU67CAZ/OlEbt4TFOnEMJlnTMyFu1Apoxkeu35ULsJbTabFsbu0GpX EVd828JCEZ5p1gYKwgWj9G1cu6Vxm/3Wc51VPW4gZIR0o/0YseArgH8zRkDuHojzPUJsLOPfwyEH gG21fd58VsYuUeEVzHthbFWJSpnZliYGT93ZFL6ytAXK07MP9FCGH8H3QBGBBMxEmEVLG/Ikfbo7 n2nunKSV2TZhlCBfYgD2JjMGpa2u6uyaH4v/PRH9bjdcAM0nD90rONROTi8TlrJi8sf7ZTIvvwEz OrBs8nz30T8rvHs6nyZ/dJOXrnvoHv6HV9tpJa26p1fhJv4MEUyOL3+eTP7UU5oMDgaieL57PL48 jt/si5WUpVoEDQEDWdmQZiEA0Tj0KuYI2Zr55nAK4GGZZEvSXjGQQF4Jc19WYnozS4goGfIhpQQV hfLM1gBM1DQapuXdw2N3+S17v3v6lbO9jg/0Qzd56/71fnzr5MEgSfqjEtyn+YR1L/DW5EEfUlEN PyiKegUuvWa3BDqDALHNxmKgGMisWZqvJG3DJX0+ZYzlYONZ2NgmODcUWZ6MpkjBuehHacMaiZol ClWx0V664oqKUm40ksE2ZPDFaeRQQBeaa46sopdJSszBJejkuhSUtqLIebruLLESiGSmQqphbErG 7hTb1QjJNcCuI2E0SGHltZp1RSiqpGhSkBq+pGu++S5pA0dE0hRGtjVdac4ACHOz4sraKk9aEgtB bjj3TfMyH0srfdk1P/n25prqkSpkSEXFuEd0eVXnS7L4RZsVfDQ3JHLHz7LGUnVRJ3TeakxjO0D6 ZvF1Z+14jzxgCwNueex6+OGfjgp925gtE66hUiZNrXM3ZMHFdkvCwTpZJ2swOn+Gp3Elozv4bTMH h6i0tXSkStvD1vPtkeF6OriY/ry/1YZNp55DNkPg3BAct8aKDqKJA8v3+611jtfJrkpGepJC1qXn O7T7OaLatEUUh1+s/+9psrWth++ctYG+9nkJrE7reB9aymDJwsZkrwwrb5rkpmj4XmeMHAx2W803 paWGlrp30jjBPG9+1+IgIuyeM8KNKcgqDnVjnQAZvujzejfVuoDocFTR8H26oVf9Hswah8q2tm8K tppv1l8NKtu6+jtrPK8t9UIVEWzrbBovHJmnlCqBzq4FB56uL5NCdV4VkcGdOMiLdFCSbVt8kSNr 3zGTW5f5ctMq07duU7DqDv3ZkN5OU5xJVOKEV50hUWSDVQYrX3BCcG2ZzlUmOgE3TMr1lGiMQB+q BSS0Zq3Mpm70uOBq+Xy3NJhnaehYEKYzzXfFvEmkaytu/OYmaZrCBOuv26R2yrisIzSlRbFvt43R loKBtXhh8P9bTmdMU/5DjM7emGTQrfn/vdDdj2wxK1ak8Icfkr4pmCSInMAYjWL97cBHOG+IXiXt SOwUpl77zZFYBnu4NLSZo/JkWeayYASGOH4SeN0N9c+P8/H+7mlS3n1QDzeFQrlCzn1rFadtn+bF Ti9eRG41w0q3yWq3AfQngqyvfOqRodDSLq06IfqaQ6cE4s+1DkwE3oK5TeNQhNCpg7gm9gisUlwP 6211mG8XC/Dx8FCFVz6/WTObGF53b8fXn90b7/Fgt9KnYQGrz9Rze/PKNjMUj2WjYKTdwjoy9T4x 4onp+uzO1LFGaN/G1Ni6NqIp91BepLDYmK2FzKszu4w055991hp+tnkemXIBTd6+4JtzJF9I45Tz iUIp3xT3Ziq8csmZ1LnBnJ/o9YYVrTEYC2XP0UAQXdUwGPVLyoTmcDSYQOFLYRa6HteTE6B83Jrt nJkyw4KPF2P9PjBxC2ZCtknqjUqQriwaTPPikCBl3DLBrdl2+ediZLjr4WoA7ey1p+MT8jXRZp5b zQM9DYz4B4nJP8P0A/5hqbpZ89P7q7phHm0F4Kn7qpwFX4l8PVrLgsn+erTEAqA9fwk65f3+ddPE qqLHUS0vG3JVZJ906XN7KiJs0wobb5W17fWtuz89v57O3QOESPjz+Pj+dkde0MD1ol1Qs2ZKEwJN S13yCzY33uqS84225XYt4jmP98yAMeuxkX22KBGZxU70b6xIxbxbkEfHIgCxuXHx4FB3FR6070ju kmYQDJ7k10tgD4eKmVDhejFulgB/Ojg9TZql+mpdjpnhEi6j6nEtAFWeidZaBI06Q7R64OocCVbo XPt6OffltLd1jqQR8ZNvjroiYKk2TBLctO7UdemFJimkKESd7BK/ynzGfE9/i6bqFGkq9EgK1y3b frx2v6YyWODrU/dX9/Zb1qFfE/a/x8v9z/FttSwboqLXhS8aF/qeOYL/aelms5KnS/f2cnfpJhWY 9gmjrWwGxBYpW7hLIh0Lvi5RWxBcYj2wm6JNkc9kVekZVG8a8EbNOZicNIVnWTyNqVd2Pd4MmFul h3m5wXaRK0jdTv8j7jEixPA2wcYqIFbqFgpULGMVf3lDDB8P8esRkGWrtCC7Cdj+yQnRS/Fxra13 AO22INVb6LdslZofbHkLiojPi+2j9PsqLfRhWLHvZjFVSzsiVXnF2iKleAe4IcBVPfJSh4t78caC gh2kaxv2rxtwgtGlm3JDnayCbt6AOr8GQ8jqBkLlrJdDzBV4SzHSVsVnKEMzBidrzjHCGbJTSDDz owC/HZHQG08LaSvbk1aRj3P9DdAwNvuv0vhpsMZxIERZYNDmpRt6jh6UUSDE0xSNhw1givkNWJ/6 KAo++yiaeeaQAdRxTSikywpxAiIMNdxdBEqAjJ5B7t+AAIbeCBiGIjeZ8Mr5GOE8lwL6o0UH4Mje /zrW8if3wDhyqH7irFAYSvUeUJBLUIf2qVDbpN2ae8dMhyqA6g3SswFMXS9gThyO+ntNcURucrly M49OGyd73/rhzDda0aeCM2tr0wSyWdnrass0nLlkPDRZ8JADcAyejZezyrdnrxC2QUjFEZafo8zk GP6tzbxoZg5zwXx3UfrubD9qh0J5+7FAMXAo4ffwx9Px5Z+/uDJLQbOcT9RrsPcXCM1EePtNfhkc If9u8Lg5WBQro/FmEm7Z03LPl4IBhMSt5sfgwHbb5uOpFam21Qa0jec4WZosdFn5bnCNHAg9bt+O j49jpq2cv8yt0PuE9Q+PjKYp7IafEasN7dGmEXLBmz70NKqqpUxYGskq55LGHO6GR8OlKEjnZYow xdGsNEzC9aRd0d4ag9qjCV5z7ady9Ru84o6vF3DzOE8ucvyHlbfuLn8eQQ5U4vzkF5imy90bl/bN ZXedDki6BW/LLfXLPFAWZJ2sdZ1Pw67z1pY4ySgFHvTYF2Q/hsL4dW0IXNgzVswh5NRtL0rwvXf3 z/dX6P8ZHGfOr113/xO/k7JQDE0r+L/rYp6sac+7pk2l1EM0N6sSIhPcALVcZXGC8QN9Djzk66X2 QB9g13TOXIZa5yXTsRvkzZxAljBwhVlyjNagm0OyL4CelvEXDK79K+qpSCFinhQcGSHRRxpeDz9u 19+rmussRn3ixewKPjpUy4re2wMNNa43orFGHjcFRc/5FgdV9XVY06dj93LRFKuE3a65MrE/GHXh +QJVg5qm+XYxThgjyoObB6R+S1pjFXDIodrschVlwVY5kPUhIS2BsSQR51wWh3OjqdcVsd2r+0Ht nUYWBNOYDlJVVDBgaVFYbjhXrRt9w2+MlXuCiuOHwDKMl/RdcAxwsxHDFyI1UyCknsBPeMYM+9GV EO4xxQOTkq99OmcDJqGYDML3Sg5uxdAJRYhMN0IYHmw2XG2tIfHeMl8XjcUtB7LnQGTKMQ0updli 7wROyA/0WqhayZoPhXZ+AkegnooiNOabKvIiF5u2I+Auq5FSpYBzeD660SJfKEyxrrfUodhXUVH1 VpATUoYeQXkzeyK9AcJ1rti0+NJEAE0aozcCpvlDSBA4vpqwHdPMEgpItANebDH1+GCI46Ic9+/f TufTn5fJ6uO1e/t1N3l8784X7V1HH6P2C9K+zmWT3xr3rwp0yBl9kcY1kGVBvjm6Rs9Ac9jDDnVR W/aWTJ+VlpZnTjdc0FyDBWfEKtOn0/0/J+z0/nZPGreESy94W/LK2yiYk0yMLORqCUmKcr5Bqtg1 pVW12uJu9qcgJ6ZsLLIYaVu6llXwjm/NRIXL7gWCvE8EclLfcZlKRHZn4zn+ilTQNt3z6dK9vp3u qRGSeWPhwTo5NsTHstDX5/Pj2JjS1FwKGNaz+CnYmQkTx/BSvUyzYACAl6XEy+1NN1Zr1PXYhAAF 4Il1ld1OXIq9Ob51SBiSCD4Iv7CP86V7nmxeJunP4+vfQW67P/7JB3kw98kYuM9Pp0cOZqdUG9c+ Fi6Blt+BIPhg/WyMlcFg3k53D/enZ9t3JF466O/r3xZvXXe+v+Mr4/vprfhuK+QrUqkV/Fe1txUw wgnk9/e7J8iFZ/uKxCNus0kNdzjx8f7IleO/jDJ1OXGXbrE9nfriKq3/W1N/5QEQAnu3aPLvVxlQ /pwsT5zw5aTFMZcozgd3fWS6zTrL+QGLXnJhojpvgMGA89OwOTQC8Axjyc6CBk2d1YmWqQ9/zY/3 YneNzt63PBvzhqGbMpgEwdfyfSvtB+K7/K8LV3f6JyhEiZL8kGTpAZwXrQVy1SCZBTEy7Si4bhdU QPC88MNw6O4A7y1BBCIONBPRgDKNRDpB3a5DNxy3rGnj2dRPRo1gVRjiFDQK3Ds/oQsSzokb5DVV YGQB8pHwE6Jgh3ROgqWSQsJNlQ9hwXC+WbNtZVb2bVEsBJUOVnpznpEtlH/iaCjomxGpqJXBFriS ILcoIGL9s0ZKa5R4svChlTIwilqyyf1999S9nZ47PQVlwhUYN/IcLe18D6RSUCXZvvRxhloFgFep Y6C81MHAqafXJEBAZ6uLY6HoIWhRlbixFjeVQzyP1rc4KiBvkOZVyle3fKWAyx6gZq0II8O89Dwn 8WIchzfxtSxsVdJkIqY91jY5yJLQBXBkuMxve5bNcK8FwDJwEidnBH2Q/g7xzMk0ianv4ZQbVZVM g1DzC1cgKJW8XJNYbcIBGOFrAg6IA2yq54BZGLqGJUJBTTLNtl6JdJJUSDeOibxQM/uzNPHptFCs /Rb7OHsjAOZJKBdYL63om+dvKKM25NlQaWb4kcDPAXN78bNwWSXwMLfVHmcl2dSZuQ3VAY5yccBW +I0N7/w35Pf8wL9nrvHbM37H2u9gqn8f4bQL8vehWPCzVQS2Lcu8NNo+ENi2Lj+S9DqmUXxwjWJs dhJAzagYygLha22FBK24npnnG7XMAnq3AWpGqTFJNgsirdRCmPgS7Hsi7jEFaNjt5drTIfl6l5eb GlTztg9d3Ot7BT+a0Wm+2k/1pFTFOvH2kJCeNiuWbeoFU2qQBCZGRQvADE2xBGjZrrlE4DoeJREA xnW11K0CooX7BZAXUK0BjI9d9TlgFrlowVZp7Xv4VhoAAc6IAICZPjpVvj78cOPYHB+FXidbvrjQ LhAK1y6RHksVfr8hMKyuikOhzd0A31ngHIxOQpYJia/aZPJ6EQ9PK4id2KXa2iN97U1rDw2YQ6Z0 knjXc310766ATiwSg3+YtDGT0Rp1cOSyyItGzeVFuHS4YEBOZ/giVsJiPwhGXWBxFMfkCla1iGta Sz0Vl3j3+paC0NBlGoSBJrO0N2Xg+A5fXJbtwgkiIFjWNordInIdy3JSqtY+UY7j/cnw2SmAzwmR pGmSa4nMQFxrcn42qQeqepnoC6WIvz5xLc04XmIfZ3peVWnghVphw1dSQfnZPYvHA6x7OZ90rSVp y4TLpCsVm4Xii4Ii/7FRJLoUlkcWbp6mLCZTaxTJd93tva7Y1NFDuLI047NmPk0f0BBTq4EwzmxZ W1JDsJr51OG/+xGre+veRGaOjgyjd3xQgAmfMpXnS4sVSBLgaYZE72LEmBIrpSGG1f13qFAs5LNa fTeKk9Mr9KMiNCWhNaqlcZo8a+CUZPY3LaHeaXInFykt84QOvs3iv/1IE9gBElMTwhGBZ6giYRDQ AcIFilZRwnDmwT0zjo2noLpowEE+udA5xtFEsDDygsbUZ8Io1mQc+D2mmUX66HPYVJdPBYRigYCI XP1TPRMWQKYO7coCuBntTc5FH9srVM5UYkv06azeQMhfmn1mLAg8KlcBFzbcSA/LC/JHZHnjW0We b0Ml+9C15C/nqNiSjJRLD8GUjHwPmJmnn4i8f07sKc8hDRyGU9eETX3XNU5OgEYu5T0kTxiOx0zn 010lI0FxpvLw/vzcZ+DDvGeEU5HKu3+9dy/3HxP28XL52Z2P/wduM1nGVNZLdK0grOt3l9Pbb9kR smT+8Q63nHg/z3qvMe0mwfKdKLn+eXfufi05WfcwKU+n18kvvF5I59m364zahetaBD62OgnA1MW1 /6dlDyHIPx0TjcM9frydzven147P3vicFOYRx6q6ANa1HEU9lorKoMwuWGFOsn3DglAPaV0tee3E 94t9wjzIuIt4zQDTeRCCG0Frq3rrO6Fj0fPV6bC8bTYHn6tE+FYVoSBE2Sdo8Kgy0e3S79M/GRtj PBnyWO7uni4/kSDTQ98uk0Y6br8cL5qNOlnkQeDo6qEABTae4jt0GmiF0nLokFUjJG6tbOv78/Hh ePlAi6xvVeX5LlItslWLFaYViPh6+IxVyzxSTVi1W+wIygouYOnGEQ4xzWd9o80GSnbE9/0FPPKe u7vz+1v33HFB9Z13eGRXDPRn7ApILl6FmxrnogBadtq8KvhGMBeqiabtE4v9hsVTLSmCgpj7REG1 U/1btY+QeapY7w5FWgV866ICMdQQvzBGF744hm/ASGxAfAWgIXS7HkbRnVVbr2RVlLH9SNRTcFJE 7HGUiHj9ztfOs0+WBy4A5hbee+rF9tDBxi7dI0Uw+fE2yX7PDsx3NQlpC3YMfISUsFP1O2wuYDi0 t1JSZ2xGvzoQqJmRX2DlTkPL8uQoUspNK99zY9RmAOi6P4f4Hi2epeB5TskygIiw1XRZe0nt4EsZ CeFddxzNmar4ziLP5eNiCRff6xCs9GaOSyvzOpFHSbMC5XqaWfl3lrgeKSw1deOEOPV0X8PVjf8q TDYhzk9X7vh8Bym6iuHcmjN5vDkVBGVKW28S13eQzLepW74OUP01b6l4jIDbVLgubgv8DnT22n7z fdeimLaH7a5gdFKmlPmBq5tTADS1OKuowWn5GIcRvXQELrbjppayOS4Ifepw2bLQjT10wbtL12Xg 6Gxfwnyqk7u8ElYZVICA4FwauzJyY63AH3xq+EzQ2bl0ViHdie4eX7qLNN8TTORbPJtifRV+h/i3 M5thFqPugqpkuSaB+lUYRmhclEN819UuXVI/9AKNVSlWK74WEhN1h6GmflWloXHba6AsQp1JpZ11 PbKpfM0GrMPNQ8nAGufS4L1FzYycs+Hxn2Eyq7Z7LHVphEo+uX86voymGx1QBF4Q9B74k18n58vd ywPXxl46vfZVIxzur5evmnwrnsg227pFd7PaVLbg9l5uNnVPYDutb9mCoTqubadbqM7IFy6Ach3y gf/3+P7E/349nY+glI0XveD4waHeMFz6v1OEpie9ni78dD8O18rY9uBZ2EnG+H6muRBo8QH5gEtg 8KEpASjfEejy/HDSAa6v3zMAHzMopHDQs7q6NMV6S1/JceBzgqXgsqpnbs8NLcXJT6TW/NadQWIi lc557URORXkjzqtau4KWv837awEzdL2sXHFmSzvmZzXzyZvoVe2gt09FWsMIavy5qkvXHd0Um+gR TxjQnC+S1hoWRvhyXf7W2a2C6ffQHOZP/2GqojKphinVyvBSlCwsMRoPb8MA56hd1Z4TaXzwR51w 0S4imd9ougdR9wUiuo5PKubP/FDfsCaxWkinv47PoLjBVn44Aqu47wguAAJZqDt/QJb0BkKD54ed xQo3dz1yj9bFWnsT3Cyy6TSwZE5nzcKhrIVsP/Pxqch/a8nr4LtYFzh8Td7flaFfOvvriXQd7U/H RPmQnv+/siPZbhtH3ucr/HyaQ9KJZNmxDzlAXCRG3AySluwLn2IriV7Hy/PyejJfP1UACRaAopI5 dDuqKoBYC1VALY8/0Svtt8/60+rCudKeVpOpm0PbWJcerFYfPbv7J7xOs7c/5dYfBQb4yqjrbB1M L85PLJ6YZDq1aBEUje0ynm4uPp5NrIR0GjZy2VpnoDxw91QKQV7HazitqEysfk+tuCF4XTI5P+X3 Adf1oWi5tqLM6BNeXh7d/tg/MbHx5SXaQdvaXhsnnNhTyMkK01tQZu/VbCouMRCvFcfeRNUsgpoG HAI2EdVo5VXLIk2pgZbGzGWQVfW8e/uzNozCa6egxZrTiRQBps3tHRr1fl9eH1VvX1+UYecwGF0Q ETtKGQG2WVImwOgpeh5k7arIhYr21pUc5gLKYJYcDLxfF1LyxpKUKjxQgw4e+ZsKKpFeFW4N6FGV ZJvz7HIkfJru3AaGkekiIsuNaKfneaYi042gcARslDb5aGiQcvUlUZbLIo/aLMzOzqiQjNgiiNIC H9RkaDuyIVLZEugIeSPdIBQ0gjKi+mTwqqH3dsU1AEGx5hmSvV5IQbS4dYL4G1GJ3NTAjzYtLU9F Kfz8C+Lh7vlxf2eJMXkoiyRkW9WTm0tPQe6q8qssypyfWkz2gGiZUYXCRBxaro9en7e36pR0+UVV k0rhBzpP1eijYw32gMDss5ZnK6JUwLMRBT9Dw3wJCznwQ9z5RIPzrHXBh/zADS/UX9H6nTN3l+VC 2IxQuW6Ush2P9Y5l2mwhDXHlBuYwFJ1JxMj9ak+VBNHMuT01uEwEy00xZbAmp7nb+FhG0U2f83zc TqNER199AkqnahktEuoKXsQW3CYO49TrO8BaEXPxJeOKiIbwo09O0uY6eQHB6EQ9vZ338IEB5bz4 +wRChcIkDQZUZcXDVZB5hObMNrAIqMSM0UZgoDbDdSuNvON5HWAoHxEuPl1MBa1EAavJ7OO5DbVN 2RHS+bFxGrzn1VJmbVFax3mVsJ5HVZpk9ukMAM08g1qm7n6S8O88CrjjC5aNinQ1zBfsz8tGhCEN 3TS4XNXADIFnqpirA4e0YunjL83Dw8zSBW0PAv10u0cvasWZLQXwSqBkDlJ5XKFRZsXeHQAuKeA4 Gj4dbeqplcCzA7QbUdfSB2MsL5jKwJJLemQVBY1Mai7iHJCc6O/QUidWlSyL7KkO1z1z+zBzG+ug +uocTB+3iMJWTZ7Ubqr4L/Nwav9yy2KAwHkALIxMu4wSmBgMeVdRebADAmlgpUQ1GJVmNcljLqA5 qdOdNIpiJ44ScAM8XMMrGo6h9p0xpAi5bIqafz/Z/HbCkULyXuuIKnLlyloFkmWASLIW0nKfRdhY ZtlFXE2dDmDS2inf23ktvf72sN90y5CpWVZMZjE63IZYNjmIcbD+rlvPP92idRafBooKZtcSR4aK oxhz8Tp+8b2glKT+sMRTbw2QcwmlMZ7hsJsQPT1dbqBhXZCyouT6in7rLeL1TULPPkFqRIPaaxdP 2wfagrz2QrtTChwOlr/ElY4gMHwxdAGJBjjhYWLh0qmN4fxEz2nl6KkOnljY6dZVOMKOEBe243Fs 6DTF2DLX2BqkI/LxOKvbK6KYa8DUaV5Qk5nDZGJxNbP4l4a5q6XBJLPcHBYwzqm4thj2AMMEnomE k7eFP4cJRLoWIG7HoEQXVhZiQpzkIRtflpBkEfSxKI1zebC9/bGzjta4Umycla87ak0evpdF9iG8 CtUpzRzSSVVcgAbID0wTxv0J2VfOV6ivlovqQyzqD9EG/w+Ktv1JswJra6CzCspZkKuO5J4W6aPg BCCYlhiYeHbyicMnBXo1Y5Dd4/3L4/n56cX7yTFH2NTxOd3/7kc1hKn27fXb+fEwgHnNMKFeWjo0 Ivoe5GX3dvd49I0bqSGTOdl6AFqNaEIKidcsdHsoIA4YptVLtI0/RYFAmIYyIurFKpK5lSPdVlnr rPR+chxVI5zjH7TdOGwDCfoi2fb6T1w5a40Zm0GWrXTEFWhcHWV030qMGBLbK0qEQ+U2qJXcpZWI Pe4RKV7Nb5Ol8zn4rTOLkuU0d9ukAO4Z6X92/IT7Eo8KBc08cSS6HgL9vkL/5VBFwSUzYwjSm4KB 3lh2LwO4qu1oywoh8MGxj55woHlmdTjlfyf6DZ1p6mWU10kgRhKkBFJkdBj0b32gg5pLlqBGZDWx DKhAhaqW9nz0MH2ue0yYpdKHg6UR9nhU+bOyxRzbI9mxXFKl+x76JKVDd10rJJmhcvalgdvzbMDp zYxtPyyWw63e3BzG4wI6TDFTCQoxT2GV3PxmjKJsHoHSy8UpGqZEikUGi0ZPnqr084k5enzlIUty YG283JA5u2xZOoDLfDPzQWcOK+hAXoRa2X2A4/UYUpuwUP0bj6sUNW61ua38Rh0BTNiApAdLj54Z 9OhXkWoZ0G+41ZzPpn9QDc49bYyNHUW4fezPaLY7hUfGriC2Y39SwuoDV4DvlGnz8d3u28/t6+7Y qzkYvX3tCFREF3dwgI15c35T5P5KgQ3FwfA/ZIzHxwxuhWFe1IY5mzHoTGxAFBZVkQ+ZVQi6ZErD 8X1ln1Pe/tOQdg2nARtA3j9FI1l4x30PG1VHDIF3JhkMq027RMwtTo+6SUoGGoCkUKsYiCCjpUmW 1J8nRLqM6nUhV1TW4bRjGgUQfgzLy5eBEd0L0S0I0XZBg/k0jrEtni3c+Slnf+GQEPNOB3M6ivk0 hqHpOB3MZKQD52fT8Q6cccEGHJLZgeKcFYhDcjbarouRvlycjJW5sD0tnFL8M7lNxDqk2e365HUY tEZcVi1vWGuVnkxHrI1dKs5aE2lU9EG7+/3nJ/Z49eApDz7hK5nxYG+R9wjOwIDiP40VHBto05sT vt22Sa2FOR0d2VWRnLfchbtBNna/MbwmCBwi98FBhNHdOXheR40s7GYrjCxAJKeJNg3mWiZpSp8q e8xCRCn3lYWMopVPngSYCy90B1uh8ibhDmGrm4mdbrHH1Y1c8SH/kUJdGtDIKOlIQqE8CcZSNljP Jdqrdnf79ox2Pl5kUcxXSnuIv+GMvWwwbd6Y9gFCf5XAUQEyLtBL0C2o2snU2l1EglKIGLZDgGjD ZVtA3UrX4q169dGH4S0rZflRy8RRfMafTHqUpUiLqwj+J8Moh8bhTSZei7UYjjIQ1l2GR0S/6tcQ QxVzJ87VAXJkUZg3ln0Kh/EIFCkm6VhGaUnvW1k0xjtefj7+8PJ1//Dh7WX3jNm93//Y/XzaPZtz ur95GkaVRrpNq+zz8c/twx06Nr7D/909/vPw7tf2fgu/tndP+4d3L9tvO2jp/u7d/uF19x1X2Luv T9+O9aJb7Z4fdj+Pfmyf73bKHm9YfPpFdXf/+PzraP+wR9eY/X+3to9lgi9Q0Ltg1eZaviSvlQlG q9bTRMJXs4PdE+Mz+Sht/+zKN6lHj/fI+J67G63vzaaQ+lLAuiuAPVGYO9jnX0+vj0e3mPD+8flI T9YwHJoYurwQ1NrSAk99eCRCFuiTVqtA5W8fRfhFllYoWwL0SSV9vBhgLKERLu/dho+2pMd4RVZl 6VMD0K8bNSeftA+GOwL3C6jXELfyjhojymOWcvdhtaNaxJPpedakXvG8SVOPGoH+59UfZsrVPVbg wWnCm/Lt68/97fu/d7+ObtVa/P68ffrxy1uCshJeC8OlB4qoQYWBKUKzNw1YhhVn9dZ3qpFX0fT0 dHLRt1W8vf5AU/Fb0GzvjqIH1WA0yf9n//rjSLy8PN7uFSrcvm69HgQ0hV4/+DTvWU+3hANQTD+W RXqtHKH8potokVSTKS+m9hsoukz4GPWm/0sBbMqi0bE/lVc5Mm/rSaVv3pw3Ju/RMfdY3CNtFdRA uWPXtHLOFEnZ++0OWcRzZsxKp+E2dsPsDBAO1lL4mzZfmqnxVjzGUK4bf6Ixov9Vz3SX25cfZnyd sbACv/fMLRP+qt5AfzzglS7eu0TsXl79L8jgZOp/Q4E96GbDctt5KlbRlJsYjTkwn/CdevIxTGJ/ L6hPuT0iu8DhbuGMmeUsZD0yO2QCS16Zovr9l1kIG4oF2zFTBsT0lNOZBvwJNYbvd+VSTDgg1MWB TyfMkbkUJ0zPq4xT8XskPkjPC/80rBdSh7Rzq1uXp7YzqGYFKm2sv2xF5G8fgLV2hsEekTdz1n+u x8tg5g0GiDHrLtI3jxjSL3n8RWQR6GaHWL1AvWO8fFUfWFWIPvOaFTIjEqu/vrSwFDeMwFSJtBLM EurPB6alVcQ+EhisLK18KGbl+MNdR8JfK+uCnYEOPgygXiqP90/oV2OJ12Zw1F2391Xrka6Dnc/8 LaDfbTzY0meI3UuedioBveLx/ih/u/+6e+6jpnDNw8QxbVBy0mMo5wsdlN8TRhCz5Ni3xjhZ5igO jsXxWUMK72NfEswsE6FjQ3ntYVEabDmBvUe0LKs12FGh3FDg0Pgb26BR1j/EjARz2mKTlOWdo5r8 3H993oJ69Pz49rp/YI5MDFLA8R8F51iJimqgzymT3vUADYvTm5Bkhx0j4VFGtCQN8GQci3B8OJGO 4zYI709PEJ/xhWJyiORQX0YFnqGjRGDliMwZ53ZzyVoqVNdZFuE9i7qiwZyhQ60EWTbztKOpmrki M7O1Of140QaRrJMYX9KjzliXvCOtguoczb6uEIt1GIrh1QpoPvWJWhhzX71SMc7GN6UWvKg8ai/7 7w/ajer2x+72b1DaiaODeu5oa4nvI2F/lUWuVjx8RZ6tOmy0qaWgnfPKexT6jWr28eLMUEbwj1DI 6982BnYCZgqr6j+gUPsY/4WtHgys/mCI+irnSY6NUvZ48WcTeGSMDUiRhGdteUnsfDtIOwftE1iy JG+CaNMqZKvMaeynYqGMGTm7zwSkJ0xCQ0a5d94CwSoP8OZNKucgyjMpSRrlI9g8QputhL50BYUM LV8oiXYneZPNMfncvVtDGSSurXmPcsAge4MWCkeHBZqc2RS+eA4V1U1rl7KVBfhpUjvZp5zCwB6N 5tdcJBKLYMYUFXIt6pE0LopinvAv2YA949xaAzwSaNPJGxwwKl89CohW4OpDmLqt5nKEw/oKi4yM CtMSak4wVIlQbexiw9GEBc/H1NrtN5r7O+KUYw5BoFzN1DrCgtrWEISabR9v9qDAHP3mBsF0zDSk 3ZxzalWHVI5xZeBW0yZ23jYNFDJj6gdovYTNNP6RCvi8/4l58MWDdTdZHXDoZruwXsUJYnPDgi3J l8A7+dXZ18xLAeh3YVsVaWFFVKZQfA855wvgFwlqHhDhUFRVESSiTq4iGDopiAkA7AVkMdQdEEFW FohQxVwPUqFsP5ZKaCX7RwZLVUblmkPauJBdvgU6dYhBwXLMzKFapHpQyIcvye3lIi2s2wr8fWhr 5qltSGYGvi6yJKBLLUhv2lrQ4FnyEsUl8vGsTND8jHKZOCSDUCShcnqDg4LI8hV6gRakGvUqEUZl QYpWwP0sFo9vU/li4MVWiALnBLXfS3oxRUGfnvcPr39rB/373ct3/wlPnc4rlfTUOkU1OMBQ9axS o81/2rRYpHCmpubW/dMoxWWTRPVnY1vTy2JeDTOyXK5zAfPkLxeeYswHE+TMeYHyZSQlkFvBoUdH yCi/+5+796/7+07AeVGktxr+7I+nbkin/3gwtMVvgsh6FibYnl1EIxFEBsqqTEfOS0IUroWM+UiM i3COHkFJyd7ZRrl6aMgavE7pfKw6VCxhALXD0OTjdEbXawk8Bl2IM0sek6BDqtoAyRknAxoztyQ5 7Au623Q/QLbF91y0qM5EHZAj28WoNqGz07VbB7CiIGrjJtcFRJpg7Kfp3GFfa5HXXffKQnmWVG63 O7g/e/oT60isVAqaoGzsUe+l5z9dTv+iCd26rR3uvr59/44Ph8nDy+vz232XOLTfT2KRKPt6eUlY 1gA0r5d6cj9//A+x46J0OgrDgbU1YtNdCevSTQEwey/n/K6Rc8ywVvmF0Hx+xLIa0WoCMz5UAjLL ri2EZf7RSNqLBt0MotSfabdt9DHa1EvYK7I40OEwqLp9KamrQ7w68HgrTixdrHOWBSskrMiqyB3n LRvT5kXnEffbStqbSBZ8I9H/7cCaKOZfIv79p9vHKT1bO5h6nm/wFCDbGvhN2KGiPHTZjy55lfkQ 9WbSOY86jQOknB9oPODLBYjei/H26yRbyhyACklXEe0L+kjFjmsVg+aO00BJTyuB69u/wNFYtLTU 86mmM7kBnhqGxlTatkIY1qLXlqWT11W/MiH9UfH49PLuCENBvz1p1rTcPnyn4gIm1EaDiKIoqe0z BaNndUMuqTQSJYyiIbl10Z6hKYc8LsMSKOJ6FDkvihpT6GSUrOzSfP+WxjSNjAl+oV1i2I9aVFxq ufUlnA1wwoT03UUxGl217YB+aBi1ORUw/rs35PYMv9DL3zO1V2B138qeK1yV7rTj+K+iqHTuRvSl DD4UD1zx3y9P+wd8PIZO3L+97v6zg3/sXm//+usvmqUdvU5V3QslqppspEaExFTSjG+pRkix1lXk MJJjPpqKAPs9ujFlDWJKHW3oxWm3zrvkry58hHy91hhgVcVaWUA5BHJdWa5cGqpa6Kgs2n2n9NlA hxjtjFZLoAXRWGkcaXW1z+XfpoMGmwYDKLRGe+gXs+kmozUNOsb/sSDMjpCYvQp4i+Kkjr6jkLRL SlqDcWubHF+7YNHrq5YDbHqlD5kR1vW3Ptvvtq/bIzzUb/FS0jJ86EYxYTXF7qRTF54+++Z0VY1S /sqJlhVNKXUigjYuaoE6CQaw9NyoLYYx0ni3HQGoD+hQ5sQV1q9iQcMKIHqzBcScdmxpAJHKIdr6 y4JQ0NKjROgsr/LweGS0JmnlGkVQdEn9jPpob1bPnF172cneUknd/tRp53iQwPA2gm8w3rnlwXVd cBszV6FFoaHkDNIrPbCZi9LX3USWKmWkorcu2+FPjU2q1glqLm79oANGGSwZEMYVSqkdlf19q74O QHiw6VysauD90gQmlR2JUK1sY3HMQPLx1trj0+7hef9yay04eg1R715ekXHg0RdgatvtdxL2VcUH GVqvw4Wo6aLWtUMUERcWbVTLW/eWWmORqXiscTCk7vYr3gUUEgS6L1qPZIk752qOxhbNQCALiqtu YThxvJpc+ZvW+phTj85MRTDMpju2wSg/lp5Vqb73+R+Baijo9LsBAA== --===============8832241937930875576==--