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=ham 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 19186C4338F for ; Mon, 9 Aug 2021 17:12:19 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id DB5FB60F93 for ; Mon, 9 Aug 2021 17:12:18 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S234106AbhHIRMi (ORCPT ); Mon, 9 Aug 2021 13:12:38 -0400 Received: from mga02.intel.com ([134.134.136.20]:8089 "EHLO mga02.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S234036AbhHIRMc (ORCPT ); Mon, 9 Aug 2021 13:12:32 -0400 X-IronPort-AV: E=McAfee;i="6200,9189,10070"; a="201915910" X-IronPort-AV: E=Sophos;i="5.84,308,1620716400"; d="gz'50?scan'50,208,50";a="201915910" Received: from fmsmga007.fm.intel.com ([10.253.24.52]) by orsmga101.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 09 Aug 2021 10:12:11 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.84,308,1620716400"; d="gz'50?scan'50,208,50";a="444630827" Received: from lkp-server01.sh.intel.com (HELO d053b881505b) ([10.239.97.150]) by fmsmga007.fm.intel.com with ESMTP; 09 Aug 2021 10:12:09 -0700 Received: from kbuild by d053b881505b with local (Exim 4.92) (envelope-from ) id 1mD8oq-000Jkj-MY; Mon, 09 Aug 2021 17:12:08 +0000 Date: Tue, 10 Aug 2021 01:11:29 +0800 From: kernel test robot To: Zhengxun Li Cc: clang-built-linux@googlegroups.com, kbuild-all@lists.01.org, linux-kernel@vger.kernel.org, Mark Brown Subject: [broonie-misc:spi-5.15 22/23] drivers/spi/spi-mxic.c:403:4: warning: misleading indentation; statement is not part of the previous 'if' Message-ID: <202108100125.xwHO5q48-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="EVF5PPMfhYS0aIcm" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --EVF5PPMfhYS0aIcm Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/broonie/misc.git spi-5.15 head: 5c842e51ac63130a1344650b0a95bdc398666947 commit: d05aaa66ba3ca3fdc2b5cd774ff218deb238b352 [22/23] spi: mxic: patch for octal DTR mode support config: riscv-buildonly-randconfig-r001-20210809 (attached as .config) compiler: clang version 14.0.0 (https://github.com/llvm/llvm-project c5c3cdb9c92895a63993cee70d2dd776ff9519c3) reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://git.kernel.org/pub/scm/linux/kernel/git/broonie/misc.git/commit/?id=d05aaa66ba3ca3fdc2b5cd774ff218deb238b352 git remote add broonie-misc https://git.kernel.org/pub/scm/linux/kernel/git/broonie/misc.git git fetch --no-tags broonie-misc spi-5.15 git checkout d05aaa66ba3ca3fdc2b5cd774ff218deb238b352 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=riscv If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): >> drivers/spi/spi-mxic.c:403:4: warning: misleading indentation; statement is not part of the previous 'if' [-Wmisleading-indentation] if (op->data.dtr) ^ drivers/spi/spi-mxic.c:401:3: note: previous statement is here if (op->data.dir == SPI_MEM_DATA_IN) ^ 1 warning generated. vim +/if +403 drivers/spi/spi-mxic.c 359 360 static int mxic_spi_mem_exec_op(struct spi_mem *mem, 361 const struct spi_mem_op *op) 362 { 363 struct mxic_spi *mxic = spi_master_get_devdata(mem->spi->master); 364 int nio = 1, i, ret; 365 u32 ss_ctrl; 366 u8 addr[8], cmd[2]; 367 368 ret = mxic_spi_set_freq(mxic, mem->spi->max_speed_hz); 369 if (ret) 370 return ret; 371 372 if (mem->spi->mode & (SPI_TX_OCTAL | SPI_RX_OCTAL)) 373 nio = 8; 374 else if (mem->spi->mode & (SPI_TX_QUAD | SPI_RX_QUAD)) 375 nio = 4; 376 else if (mem->spi->mode & (SPI_TX_DUAL | SPI_RX_DUAL)) 377 nio = 2; 378 379 writel(HC_CFG_NIO(nio) | 380 HC_CFG_TYPE(mem->spi->chip_select, HC_CFG_TYPE_SPI_NOR) | 381 HC_CFG_SLV_ACT(mem->spi->chip_select) | HC_CFG_IDLE_SIO_LVL(1) | 382 HC_CFG_MAN_CS_EN, 383 mxic->regs + HC_CFG); 384 writel(HC_EN_BIT, mxic->regs + HC_EN); 385 386 ss_ctrl = OP_CMD_BYTES(op->cmd.nbytes) | 387 OP_CMD_BUSW(fls(op->cmd.buswidth) - 1) | 388 (op->cmd.dtr ? OP_CMD_DDR : 0); 389 390 if (op->addr.nbytes) 391 ss_ctrl |= OP_ADDR_BYTES(op->addr.nbytes) | 392 OP_ADDR_BUSW(fls(op->addr.buswidth) - 1) | 393 (op->addr.dtr ? OP_ADDR_DDR : 0); 394 395 if (op->dummy.nbytes) 396 ss_ctrl |= OP_DUMMY_CYC(op->dummy.nbytes); 397 398 if (op->data.nbytes) { 399 ss_ctrl |= OP_DATA_BUSW(fls(op->data.buswidth) - 1) | 400 (op->data.dtr ? OP_DATA_DDR : 0); 401 if (op->data.dir == SPI_MEM_DATA_IN) 402 ss_ctrl |= OP_READ; > 403 if (op->data.dtr) 404 ss_ctrl |= OP_DQS_EN; 405 } 406 407 writel(ss_ctrl, mxic->regs + SS_CTRL(mem->spi->chip_select)); 408 409 writel(readl(mxic->regs + HC_CFG) | HC_CFG_MAN_CS_ASSERT, 410 mxic->regs + HC_CFG); 411 412 for (i = 0; i < op->cmd.nbytes; i++) 413 cmd[i] = op->cmd.opcode >> (8 * (op->cmd.nbytes - i - 1)); 414 415 ret = mxic_spi_data_xfer(mxic, cmd, NULL, op->cmd.nbytes); 416 if (ret) 417 goto out; 418 419 for (i = 0; i < op->addr.nbytes; i++) 420 addr[i] = op->addr.val >> (8 * (op->addr.nbytes - i - 1)); 421 422 ret = mxic_spi_data_xfer(mxic, addr, NULL, op->addr.nbytes); 423 if (ret) 424 goto out; 425 426 ret = mxic_spi_data_xfer(mxic, NULL, NULL, op->dummy.nbytes); 427 if (ret) 428 goto out; 429 430 ret = mxic_spi_data_xfer(mxic, 431 op->data.dir == SPI_MEM_DATA_OUT ? 432 op->data.buf.out : NULL, 433 op->data.dir == SPI_MEM_DATA_IN ? 434 op->data.buf.in : NULL, 435 op->data.nbytes); 436 437 out: 438 writel(readl(mxic->regs + HC_CFG) & ~HC_CFG_MAN_CS_ASSERT, 439 mxic->regs + HC_CFG); 440 writel(0, mxic->regs + HC_EN); 441 442 return ret; 443 } 444 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --EVF5PPMfhYS0aIcm Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICBteEWEAAy5jb25maWcAlFxbc9u4kn6fX8HKVG3NechEki+xd8sPEAhKiEiCIUBZ9gtL kWVHO7LkI8mZyf767QZvAAnaOafqzFjdjVuj0f11A5zff/vdI6+n/fPytFktt9uf3tN6tz4s T+sH73GzXf+P5wsvFspjPld/gnC42b3+8+mwOa5+eBd/Ds//HHw8rIbebH3Yrbce3e8eN0+v 0H6z3/32+29UxAGf5JTmc5ZKLuJcsYW6+bDaLndP3o/14QhyHvby58D742lz+u9Pn+Cfz5vD YX/4tN3+eM5fDvv/Xa9O3upidbZ6+Ha9uh5dXV8sL8+ur89W6/XnwcPo4eHz58vHx+uL4fXq 7F8fqlEnzbA3A2MqXOY0JPHk5mdNxJ+17PB8AP+reERig0mcNeJAqmRHZ+eNaOh3xwMaNA9D v2keGnL2WDC5KXROZJRPhBLGBG1GLjKVZMrJ53HIY9ZhxSJPUhHwkOVBnBOl0kaEp1/zW5HO GoqapozAzONAwD9yRSQyYUN/9ybaPrbecX16fWm2eJyKGYtz2GEZJUbXMVc5i+c5SWHhPOLq 5mxUT01ECU5IMWmsJRSUhJV+PtS7Oc446E2SUBlEnwUkC5UexkGeCqliErGbD3/s9rt1Yxry lhiTlHdyzhMKhN+9knRLFJ3mXzOWMW9z9Hb7Ey644dNUSJlHLBLpHWqT0KlTLpMs5GOTVTKm ZM5AKTAIyeBowRRg1WGlZNgR7/j67fjzeFo/N0qesJilnOoNk1Nx2yzB5NApT+zN9UVEeOyi 5VPOUpzGXcOdktiHXSkFQNbQVEJSyUpavUhzcJ+Ns0kgbWWsdw/e/rG1KtfUI9g1Xk7AMFCt JwqGMZMiSykr9ruzeC3B5ixWslKk2jyDk3HpUnE6A3NloEejKzgm03s0zEjE5hKBmMAYwufU sZlFKw6TNttoqmvr+WSap0zCFCIwc92k1FBnurX1J4G5QWA7DEj5F60GvVL46VomSjXGVc+t bOy0WeRlcZLyeX2QRBA4d9QetOkiSRmLEgUqiN3npxKYizCLFUnvHHoqZZp1V42ogDYdMtc7 pnVBk+yTWh7/8k6gT28Jcz2elqejt1yt9q+702b31LIDaJATqvvlOjDUE0WrxH0y2I6pjqWP 7pUycAogqCxVt3j5/MytEsmdOv6FxdQOFZbBpQiJqYyUZp502D9oLQdeV70FsZ4X/MzZAqxf ORYurR50ny0ShA6p+yhPqYPVIWU+c9FVSmiLgR1LBcbdnFmDEzMGIYNN6DjkUpkHzVaKsd2z 4g/HUvlsCjGxOLB1qMK4BAdsygN1M/zcaJLHagbBKmBtmbO205J0CpPUrqvaMbn6vn543a4P 3uN6eXo9rI+aXE7dwTXi0iQVWSKdBoaREBw4GKI7pE0ZnSUCZo7OSYnUfXKL+ZJMCT2Uyybu ZCDBdYA9UaKYgXzanHw+MjaMhcSIQuNwBpJz7epTow/9m0TQTxELjLCf+vnkXse+xnj9fAyk kXMpwAzvI9LHW7ict25jIDP9+7w15L1UvstLCIHOC/+28JkA5xXxe0BmIsUwA/+KSEytYNIW k/CHW/dUhXBeKdMesTgzzWjFQW5+64ALIMUItnLCVATnzQgb1vZ1yEERr83ZJkLyRRnfnJ4d z4ex15mhEBYGoKTUmPSYAOYIMmvMDBKJ1s884a0YWZBplCzo1PLqLBFh6DZvPolJGLi2Ty8n 8K1+EGzYwk1PU4CHTg7hwknnIs/SVoBpGvlzDmoote8+wjDgmKQpQDrH9GfY7C4y3FdFya3t rKla7XgqFZ9bu4v2onFBz8pnoHEnA6bHfJ+5lKv3C20/rwFcZSx0ODivXGOZZybrw+P+8Lzc rdYe+7HeQTgk4B0pBkQAUAUIKJs3fTrD6y/22HQ4j4ruChjiNnDMbIiCpGhm6k2GZOw2lTBz 5QgyFON2e9jjdMIqYNZjeFkQAIBPCAjCZkI+Bd7c7SwUi3KfKIIJKQ84rZCDAdQwaXSjHu1b dMSwQKydIVbCZ6OxidlTLum8hfCjiCR5GoPLhoQojyBjuXqLTxZGyNX95XJsuIAoMoDCnOhW RvaZVJTzhgIKA6grmboZ/EMHxf+sKQRwGuCUQUpLxiFrzb/IjvrZLGQA/8qkMRI+C1sStwTM SgMDEubTDBxxOG53kiWJSGH5GezMmBnnBGAQnRUQqRQygRmSAcvC/Ceyy6/AiOWI67SKQAqb QrwGq7NCdC0gs6hLnd4ySHSMQQIICYyk4R38Ri0YR3yiUF95CAcrlDf1FiEoArRgzLfAR3sK xrVdr8oqU2P5goLZQG6OKTAEoZCkAe/DMSArweTn/ew5T5XTZ9gTqFIOb304LE9La2qWdbI0 xaNGQvAaccerllzXnJpMoDuGHj3ZLk/ovrzTz5d1M6y2mHR+NuLmQCX18py7PJe2S9geP9T1 hQaA1AwSu7I1YGewhRJMHFyIYZdwTpPpncRjMZzY/ixywUeVxaybLBQa5JLkBjFIMtPx2Fow 44WFo6uIc58PBwPn5gNrdNHLOrNbWd0NDARyfzM03EeBm6cp5psWXKwcVz4fDN3hlC0YdXJo SuQ097N2uLVDm5EmYJ1gD2L7F7Sdo1GhjXxdNmzANAs4uJTM8D9AMY4sbGkOOFyjBPCWV5W3 bGoD5kCFle7/hqwFYuzyaf0MIdaYRhNvIudSepvqtsHm8Pz38rD2/MPmRyv+kzQC3UccI5kS VISOvWtkxC1Lm3JZq5PkFzpJOp3U3i+NbknK0PNFxEpSVAaYDQKaWOTprXJjxjGNzj8vFnk8 B6U7Rp8IMcHabjmKVZ4rWIipdQaifa3ZhVYX7K73B/vntN4dN9+260anHAHQ43K1/hdkzC8v +8OpMRs0EibNSIIUCIME8GOQiigP/BYzxSJKxPLblCSJlU0jt86K25ank6dQYAKOKZRKRXjz bPIpSSQ6oELG5ukC87Nx5hiE+KJsO4OAofhE4x43ZsU5Uz7qqs0Q8MExYQBLKPwdEdMp/Sd6 tdRaRsq6krl+Oiy9x6r1g7Z0sy7QI1CxO2fEquYvD6vvmxOEFHAUHx/WL9DIPqCVL2qjji/g fHLApcwqLwIWAT8HngucBMCeADfAlZKkTLU71IlAZ5iC+o443j4ErYS3zANjHZUwxkLuzOMv RZRqienAqNtPhZi1mLCt2vD4JBOZMYHaYkEPWAEu705asA2vYCBtVzy4q+oWXQE0ygId9jB9 ADOIIM3Li2LmMsIAXN6atNWTMsB8kKMXEBGLkLoW6UiXSzXhZU2vlE6osEsXHVPDchgMSy4F WxbzBtdMPTtiADMwx3qDBa4QcZZllQWnL/vU00YHDzoWZkHkl+jwMxXmpWKohK5/t+aINsQW StvZjJsNNNtRb25JRAKVnflOctQl+1VywihmeAYw04hN4p7pogvq22F4mgXWI7D25FK4lZa9 ldK10jmd7VQ3DEokvriNiwaQZQjrejMEPQLSoDOIbb4xRpln69xSq601vNBFMEimZoC40aRu F+9LVHNyHUIFR13ZvRlOr8V0ggS7pxI1W/N6g6Wb436Bm0gZqgrtz5wEpkxmfcJVnbATSX1j p3NfXSuo4s2EivnHb8vj+sH7q8CRL4f942ZbXJ404ALEyiW/tVwtVl1AV3dRVb3gjZEsa8ML /STMJjx21hveiWF1JgGqxbqgGUV0qUtGOLGBfTywIJjrgqzqnJw2AeVogUA6rCx2kosWDmbX lff6+GqiKa0eWVj1vGYdLloxA9OCDB6xi6R63/29/g151tP65J323nHztPMO63+/bg6wg897 vJs4en9vTt+94+qweTkdP6HIR3xOYlqOMY6cEnfqY8uMRue/InVx+UZ6WsicXZ33LBmYF8PR 2x2AQU9vPhy/L6GbDy0+eqQUA2fp+ttj1Hy8qXhrNbWgfQ3RK9Zz51CK4dG+BagrJQSU5iYo 55F2ApZlaDAFDkHBIj8dv212n2BT4Uh+W7cWK4sLvxDAUmaE4nF5l1X/nEFeJAFFs6+Z9dKj uuIZy4mTGPJxl84hfE5SrpxXRSUrV8OBqftK4B72xHkxA/wyA851DS9tt74d99yV657RgQYu T6vXDmm/SEjY7rJ4qJOzmKZ3STv9KPLl5eG0QeflqZ8vdvECZql4gdX8Od4VOfde+kI2op0k rSY3aXZrRHMd0VddEOOiihBcNHeRRooAclwU1Q4fgLAuKzw7mLO7sXntVJHHwVedqlVvRqxB Gl8YD5umWVzqUiY81s7UtD872hEFOIbmkCU7wnsUcXE7rtbH/lmvXk9LTNrQd3n6fuBkrHTM 4yBSCJAM1YZBeXnVVGngt0bDNdhBSFVeJruMpuhW0pQnLhBS8rEUbdlUQ+7vFDyAgQBxZiVM b/LVnlVrlUTr5/3hpxe5Sjg1yH6jyl2VzyMSZ/aJaGrnBc+xhLKxAZSSEGBfojTmoQlkZeem 1gEa0t60Xtf6U4ZG0XfjNpOuQku1hxqoRhwPoJ/enA+uLysJ/eogwTpFkuUzY740ZHBUCZi5 ufIA0gaFD9LcJT77frqk3idC1z9qsftx5r6Luz8LROhyDvca7gjDGiqKzt67Ca4uSMAx1bjT OLd+ddXUzWhACagD7E9aFaksyXtKArWVJ4oVOQsxb6AZTVlpBLXF9hul8faBqS6SWf/YrMya oZXNUqtmDj9d99iUEvNtQkIjmG/j7YrfGhDmlNeP0hL6cbU8PHjfDpuHJ+3Xm1rMZlVOyBPt k5UVsH7KwsR0nBa5DNvGS8i5ipLA0n5Fg8MJCYL79kNBwkfC1uutalVpMWJd0dRPM6vF1XWm 7X75oCtUlZ3fVrW5nx2SNiAf38kYnnQBBtUUNJs1Na10taGtDyc7D8C0MYG0Tl4tWaEoZ+25 vSKjLKxRFSKLypM6tVkABD/lc+fFfMlm89RMKQoqnpKyJXgrzPGtwjFyibyLaSWjsZvr2Qqb WKe2+J3zEe3QpFnxKWkYGLuNzZehTeOczCPD6WHdDEB1WmxvYO4UsgLAP6x+pWLndN2zUNxg vB69B312O4X+AgHidXce9tTR1TAnifsaXvMWvAduLxRzH5Yplzzk8CMPE/c9zVewr5yNufsZ UjTloBq37ZlrrR1yLKXp+/F3HuF7M/DTxP2sRctIngbvCmXjhUOmmqqynr/AT22D8g3o+rI8 HFtXMtiMpJ81BO15yAISYxpdni0WXSlDxgDtShooE1giKKmt+VZ0faNyPbjqHb8WhBFm8g4y uv65FkkDZFPgxhRxwwlDTqWLXhE8K4kM31w2HCZ9k+NYdsUqSsUIwYp07OOwtwNAzOUrEfOt XlcMy9oiDu/cCUO1z3qjM/jTi8pSAL6jUYfl7rjVn4V44fKnnTDgZoczcIDSHr5KJBuHrVxG GQO5UQL+ylMD3XObnwZ+bhGkDHzDC8rIZmtTEElrauUHBO3NLTIqcHURkcp29sVbXBJ9SkX0 Kdguj9+91ffNS3lP0zkfNHABDuR8YT6j2s/bUwKcllfkdleYJZalzj6bQu89JjGkutxX03xo d97ijt7knttcHJ8PHbSRa6bowkOI/b0HRC8n8nvKHaUAABjSHTFTPGxZOInak4D96R2bjCVr Q6bqRXH/1hap0/LlZbN7qoiYVxVSyxU499ZxQDwCSkDFQko7aRmffk4B9vfsIJYlcWcD1Eqq mst6l0jIjI+XTAbur97e5nmOyRZB5zhUDSGqvqXTSg6LlwQ2yAVfTLkJg6yLuxc4SbgoErJ2 lJIXFz2PPXR7DdT72ZB5tq7dm+zjnX0tXiytt48fV/vdabnZrR886LOM6n3HH9/kQb4rp32n lU6T0dlsdHFpIoGKc34VXp67Hqlo15VAJgdurqVCKdXoImz3JkP3c4NC6Y7TA//vb6Ed+ghB xHOZgm2Of30Uu48UFdaXj2l9CDo5Myp++D0Q+DJIw2+G512q0pWA6rXWu8rXc4kh5bEHRUre ruboeBAz5PVFZ3Krm1YZUbr8+xNEx+V2u97qUbzHwkfAlA777bazWD2uD0OE3D7jBiP3lYOH zy58FirSnrHmCjgiPRC0EinRx9tCWIZ5RyQi6Zz1PLFuBgspQuaz0aIfDhW9/argOKVRe2cc eljEpB/LaZEAEBgP3Gi+FpoHl8MBAI53xKLFOwIS35VS9Y62fDLnMe3JTiohtVhcx34QvTNi IN+TkFnclwlVIpj3XAx6rmQqIUx93lGPmr2nP/7OZHXS9856VHQ2ykEx7xyAiMmeimEtgkHm bQmMF3hn2OMgCr9CfEx9XYc4JZLEzhOswVEeTqyeC3ixOa4cXgT/IXlku/rCnLiciVh/K+rw MTWzgJT1LcObHdWyPtZSbgYuI24L48eQ79h902Q8VrcpV+4Xu0Vs43n7/Be1fEohHDxBAPCO 7Uds9Ugg5FgfUAHu51MSRVZxs0cAIusbvUCIsortjmlVPB2P9OTDBDTq/Vfx75EHYMV7Lmqe PeihaOBCK+939VtbnSK1DaQk6mcI5zP94FeknTS7kpK3SfU6rhePdCTxIddcf8YYdmKvKT5j zF1x02UoADr4+V+Pp0MR9GC57PHfeqCFLmn15mLZuBWhgZDfhvoNmJyK0LcuBiqBMRuX38KP WmcEuQGkjlHPbUAlMwkzNu53z3oQxFq9EtO7hKWtolPJ9pVhvyIw/8abNlV+rV93B2T8/tJX Y1dvwMV7G7wotnoqbhOcrJkYf2kN4N/FJOKuT69x9NLfmH1YtUkR6BefgEh8+7uDgiFCu6oK VAHJSEjunOqDNB9vjXpue31mfNVS3TvHGSgIfjS20ubk1X/HoPMykfqQPBmXNAXmNn7hjZTO +vDDxNQ+MG2+O1h3evkFqatz1yMJS+bmw/b/9h8P2+bZgGZrD94uxWtOeWdY3SO9ceE+x0cH ScfL++kYsP3miLeXD9639Wr5elx7+PE1Xs9DYsbxHqhogt9PrB+My9yyY0u/BrH86nx46eLh 15jWUde7liczRf2539rMilzWw/FZXHPdZwnc6stCh56Li3htUmWSEc8j1n2fjdQig3m2SPqz T31V9NOiB2SccmpVlwu68796gBxF0glTrW4Kot6j1sAlJ6DmHb819xrNGDX+sgfiX4wuFrmf mP/FBoNoX2eYDLzTqCfiZ1F0pz1ETYI1X5+N5PlgaBqlznMgMXYtHrBbKGSW4hcv6ZxTZkVA XfCnAvB6XxKkJdDVpz13BiTx5fXVYERCl1vlMhxdDwZGSlxQRgNz7ySLJcTmXAHvoueDlkpm PB1+/uyqGVQCekLXA+vJ4zSil2cXLk/gy+Hl1cicDLp60BMgoeSs/AraPSF3/WCBXyEucukH jJrd6hg+5TN2B4jEfa9DR22HXWBClmBdqsGDdYOCA/tvPzjrcC+M28qCGLIJoXcdckQWl1ef L4yvEgr69RldXDqoi8V5l8x9lV9dTxMmF50BGBsOBufmoWqtrvyG4J/l0eO74+nw+qy/cT1+ X+KrvROW51HO2yIWBRe62rzgn/YHBv9xa8Oc8TE2wQpk4j4QjE57siouaZ4quWjvb8nP8KW6 dVc/T0jcThmrap3pWIrSHJW8qgd1UgP9bi0S/0/ZtzU3bjt7fhU9bSVVJxuRFClqt/JAkZTE mDcTlETPC8uZURJXPOMp23POP99+0QAvuDRA78OM7e4fcUejAXQ3BAneRFnCwieJnpcUJf81 OIHMGQwpM8+01U+0hf75r9X74/fbf63i5BfaTz/rCxER141Tw2mtrkIQQT+fcEdxikzUGDtO ZOWdxJlSjxiO0yLJH5vR8+p4VCKlMDqJo5LfSGvTjbVDOw6VN6WRmcbOmvWrmiQEtgIOLi1G SJ7tSYSJSo5oaiH58WBQKZFSwytzRxUlLNDZhRiLhKCVlG8nzIU4H8gpTpSW5MTpyEC4lxq4 VCcoiY2fXOO+jUWEXCzAQNHM7QeINut/37oOGlRixHBDTf3btHsoK2O1D4MrnFouZuFgLhTX cUyJjt0z2twoNjh9dIoc3+00W5y5MDK9pKp3xGeyyrqngz2T1pyBQR4K34tN9wq8jidUDGFC Z9JbWqE2BFyCIYyZrJcwf/19BY4b4NGEKxAUxYy7sSYEZs0M//i6Nx9Fc8vtby/ffiGHw+rb 4/vTf99WT6OvmuRtzZyZT3GGnnfN5QBEVqDeEMCK00skNi4j3ldNdo83K+TK74CwFMGD+nCY ZC+twme1bp9/vL2/fF0lYFmH1QvS2BeJbHjHrRqy6peXb8//qunKlrn086yrN13XxwekiAww WYrJ32ENKdmG/fn4/PzH4+d/Vr+unm9/PX7Gj4Dw8+9B946VyD7cljdN05Xj7Tarnw5Pr7cr /fczphmBO/1Vc6kfbXVtiUg7Cj3/b99/vOvL8PRNVtZnXYM7Pb5+4b6Uv1YrdVWBcG2StAIC /G/YvXM+XUZq4urfNdHV+M2g26DfUWJhDNTBv25iQNkQ9d4OqPI6pihiOAzjFT+Xm0zNSEKw y1OoxCQAz7wRp7+PUcEsZnVKXxLfDxF6LimlWIdNowcbAnwMUDXzke7WX/UtYds+iG1+wRv6 XGbdLuzr9gFXIrjWrvFHbgIaKES8Grx0hivd16fHZ2H6CW0Z5aL7rtQRlBUqsQX4/p0KXMZ4 4+kybRGZCEMaUbEHabF2TJs6jjJe1A0A823HAIjzmmwdB792GzAkKujgMqzkHGK+oBEBVIs5 W0sbdZ4pZIMEsRZXWYoQ9tR5hqlCUeeoafOsFc5VFEZfNux38pujN9iJKgcGdYwjTgS771S6 RoqRJRCZ0l7JB4Fj8xB8jR7YlzY0ajMcUSkn00rFWOwS+QSCMXK6hZDXc+XDOC67GvmQxE6Q ka3h3nccPFmxT5skyg2hXDhqsCe0zhcuyH9voyP03QegS7Cio5sXFSRDhoONmrDEkDYoqEzW MlJK08TaSIR1hQ5C7t/lKEy4385rlqE+SmbmOJTMOTNsVh7ytBtSs/KFsakO3DLtmENwRpVt KmkbpGA6CCugNobARho7w5uEYNl/cjxfKxOpmwQpBZA/lm/hmVdtyPhCd0CLQ4hudGxsOu6t eWT5PqVrF13L1VvryTxGWsi0FEp+BJBEDa5WsisMug4jDXy6jIbpWtsyFz8xjoJAj9uGpajE sGoftMCBM43HjvptOoAfTsi14ZbVxRxgWJhrjM7Ojbj3NFpVBqIlzFgI4hai4MX4EGBIw5ab 86isxM51gceCTyfVUTifrsfgNBXd3IibJX7JeRcTjtkbbjtLuuGA8DGLwCHBfWuHUebe2hLj CLgOsQPmHphIPKBiVsGV3Fedu482noMx+OYKS3DwT8S+oat6Ux5j7Cs2TzEG045QhjgGZzI/ BsE40PwYHQKktHKMiIkX02kgBX+YOF1Wn+ji89vkTsSMFz8jWvI8lx/KGOzY+xgNV0jndhGV PQSjFw4TJ+pGvlWIG3fTobLEWJTpWiC9jN5b4xSO6b/acOKfP1AZAeH5iWDmPtJ1ClxXCwVl ZO1SYAymZizjODqbM1055rBDY3NnbqwfFEs3T/QP+h1tPYifL5NV61xGO1GoeG0MxOLcjUaS xY/n96fvz7f/0LJC5sxYEtsj08+iZs/3cTTRPE/LIzYph/QZUJAxE5XnrZDzNt5460Bn1HG0 8zeOifEfScqOrKwEIW8pW5Me1Q+T9GOfFnkX13ki7jutTSjnMviLwXbPkAcp+MI1jYbo+a+X 16f3v7++SQOC6ojHige9lPuIkmv0aGjmRpIPtJzHlO+0mwYvIcOAOGWdf0okNWQexSz69eoP 8DEarJd/+vry9v787+r29Y/bly+3L6tfB9QvdH8KZs0/ayOOKcL4IgFstp6Y2e0Oj/zAmF1n MMpmMywu3NDzbXy6TDWVYQEbEHdViTnYMnYTF6TdK5MVxAybOEqv2swz+eiF0MLMX9J6XMqw o3prRKRFesF1S8ZlC5FvqNdQeoUiWaDI2jcfR8cT3cUlqblMxjsGYGYFfkDAeVS81DAijYiq Nm3dgP37p802xO6ugXmXFqM0EKh0e+3i5lFMjBjPRRi3DXxLaYp2G7jmUV1cAqq+WD7v8EMq 4A1qnJFfwf7f/Lm6e5eZV5NQpeIIvV1ivIJOEnOidWkubN2ZJzc3oLBMpybLzMOlufPM2RIv djeGczPGP/UFFdvoppfxs6KVTRAYtTZsjxjTsJ1gLKp8HnC7rJm/NfPPZUC3Bu7V3FRU97s/ U/XcPHPNx3MTt9/XBu9mgJxLqpJmlhxGQH8wQlD/HwlxLbAjEODwMxS1T7rcXKAur3eWidRQ 5VdbMyGK4+s3ulemiF+pFkDXzccvj9+ZDqkeA3MxXlGR2Z9dbbQkeWmW3nHtBo5JeDfVvmoP 50+f+oruIFUp3UYVoftX88rSZqVmJyP2QQZmoaC6jspn9f4315mGCgvKgqoJDHoXfjVkUlek mQVBPyU1kuSRGP9vIg1mLxgHzFPPpa51cX969fJLA4D6hX9qctEW9wPCdx564iT61oPJA0ta JnHXUYXG9kz83qHOVsXjGwy6+dYWC3zLLCrMytnM1hpFxjQ7T93tiez2tN1ZPi6iJOq9relU maVgvKQYuT2VXwlUHG1R8NlnP+l2J5ODbgHVpicK/OhsrqT16Hjm9yeiFFJF9ffmWtCdwl56 lQ6Is5eIlNRAxtpFxiHXN9LoG3VSZVRepyi2MhXiQBgzo/x9i+s9jG2Seazr6p2tgfmJtK2m gFhqDWafc3cu69R0WyX4BPQXD799GdwC4ERbMisFxrCjlhKkmi/9eTAXy3ghRXm/W+dmXofh xumb1iBrhtP3vdy7QOSCSGtBa/MxpRh+i80OExPG4lRhUZ8526g+c/Yd+H8Y+aAi94fMcJE4 Aqxjid9WGQx/AVDxhVTtaeZfubFUrc00AaAlAFHk8Y0JQzSmgFbApV1junEYuT25N+dPNXKT iyWw6V76DvywzABb5e7P5g+pTh7YGo7ETpiRYG2uHGjtJKtw9ZIDbN+ezHIZudQEqknfH5l9 lJjbwnI1NHLtI4W0MDzxbQPjg7WHjRtYuNh+QZyBXRarwoPtEVxnzWSwefwDynHMxebJrKn8 VX3fcRgcaRtR2KZEYHfwYpwsvvVtBKPm5oHbtWlJIvrjUB/NetYn2qL2/gREUfdHi34QFZNS znRA4UhTt1uGbppPkAFfv768v3x+eR6UxzcZTP/BEbTUGuC+AX46Y/h8sQPyNHC7tToKmAaO Fr9QlpuCL7ResDUphhRRECqoIVpj1KBPqIq2midmmjufuXP7MJIpZnoz+fkJTNilB0HA3vkU YeOlriX3Dvqnbr3K72JqMiat9wp8FucZxE67Y3dfgtXqzGLmRihn0C6mjIanml9exbw4t61p MV4+/6My0m8ssmN9eoBnaeExyTJt4e1fCKHBLuRIGxUQc4SF9r3dVnT/R3e5X1iQH7r1Zam+ /W/RL0DPbCo7P6sXKpOVMCzFv+G3mTAGG5wZU6MPcar14/+5Wzivj4i3dTE7twnQ1e56J1lf jpx259BWxiXUBDIYWI78feGEIT6uR0gShf66r8+1PaW8pgsfqoaOiCKuXY+sQ3YD9dXIlTRV lYs1hHWtH0EQTNhwXjNBOsdf2ypAF7tDh5WApp0qbhxqGe/CtY99WsVpXuFnblPdp2eiiNGf f0rOYIExjzd2Z35cGDUDCt+JqqjAPsJgz+oYFCYJZNj4CpjAc/AgaBLG/QDG/wAmwNUeGfOR 8iyA2M2POVTDCIsfjuWZwFpphRlCv83sejmrkrgfyKdexIB0swuXfdpQPabfHzexfRLYrhNG DOwJ/GXI1g4xGR6OfHbezxb9WvHzNkDhwaxFKCno+Le3VV5HBIwtJa2Lh+2hq+vb49vq+9O3 z++vz9ip5ySI6KpFDCFlpkY62G7tRFQTRtvtbmefuDPQLnWEBO0NMQENx3l6gh9Mb7fQAwIQ 3/XrJbRP/TlBw0PbGu6D+e6Cj/ZJ8NEqBx/N+qPDZkHvmIELMmQGRh8Ebj6G8yL7gG0+Gd6C EAAfbIzNR+u4+WC/bj6a8QcH3uaDc3cTf7Qi6QfH02ahkWfgfqk3yuWUyGnrrpfbBGDBcpMw 2LKQojCa68dgy/0KMO9DZdv6+G2tCguXBx2D2TXBAeZ9YJaymn6oF7aGh1ZkWKekNQbCNKyb ejK626i+gsNl/YKGYjs8nDBwIkfiXbggmYfreNc+vAbUwiAcru439g4cUB9J67QkWBiqqJ2F EdhmfVaxt3wtm6vx9Ew691B4fZ7YB8oEpNr4B5EkT+zLu5imfQrNyM7gPodUKMBjSCBIxy74 BOSCGBLLKXXw8ObGl6fH9vaPTRFNs7I1BtKbdPDW3RqemJ0h22BBRDCIfbAWbegs7DsB4tpH KRTXsXdb0QbbBZ0MIAsaLUB2S2WhlV4qS+gES6mEznapdUMnXIYsqIMMstgB3mLThb5jF160 6Ty16aZXOQzDVjuFAuPqSD4TZFtzstnmoleOxNi5mGBqi/qyNRkbTMvO/TmDF82zM/qQLt3H S1emA4EF64GQSUPoNt+Z4iBXB8Wmcvwka+5ZgEXtFNN4WMAsMVl0CUPR+lgyFZ9I/cVRqNoT 2oxaRN3WY0F8xAd9vj5+/377smLFQsQL+3ILHu1GAwAeedlsbsL5ZmNggW85keMoo8kJYzc0 lX3aNA9gVtDhB5gMiJn/6ojuSCxmxBzGDYWNPabbcHC62TiD8ZNrVEvvpTNqmlmMDTnCNKz7 Qws/1s4aHypIkBHOblS7BkZW7X0lXn5NtKJnFeY7ylgsxMYl1vJADsA1gMFNlg/3fRiQbadO grT8RJcfLbeijkOTaS4HmG0TON8Q6ndg4rou97uHe67lvjXZzPKRrxgtKlyDoyAXOVER+YlL ZWS1P5sac7gJ/1chVp3WkKSEW6smxc1sOMRaTypq++6KKqijiIxl53pGNhuyzmzHsKPiCLIJ DcsH41sNXRnikkHJWvyqlyE6mG49aoPJ+dotNCcbrqG5TCyS/hDjN+Z87iWt525Us2j5BS1s FZicRRj19p/vj9++SLfHQ8j92vfDUBkaA1UOxjlwylrrvOO1r9GnyoSFS5VcjOpq85tTkYyZ T5KnN+5Ahy8skw9AaIy8gX0I/a2edltnsRsaLM7HUbdTR51gXao0PV+4D4neJcqYgOZ3jcWN muwTXf2UBton27XvhlolKN0JHVxhnAHyLZHMpk3nFNeLsrYk0Y7mp40Fo7Eg43KXDuNaUnu7 jafUK6/DrdcpmQPRD3yFOiikMrGJ/dYPPa2gJHdD3epZ6tzY88OdcYVqaxL46zBAhg1luI6x RRk/DNSxz8g7x9XTuy86q+i75pu1Zxwu1yL0HLUBr+yCRWsUSt6p9xKjqNHH7WSisjCeqQLq GI4Hx1nvOTuzPsUliKomF7HnheFaqVidkYo0CrSjiwdtIimEnF5s/gASFe9WiSlZ2k/JIZ+x 5C5Pr+8/Hp9VBV2azscjXW8jxXWLV7GK71TjuyFDNOEx3aszbhOcX/7naTDc18yHrs5gst4n xKVybG40mRNKs3zmmXQm8Wvnium0M0Lefs10cszE5kWqIVaPPD/+902u2eBTcEqbQkqf04kU TXoiQ23XvlJbgYVNaQnheKZUBf9bieEavggt5UDnuoxwRCkis/BDChmDH+SJGNw2RERswzVe tW3oGOqcrjcmjrP97V9tPAz9Pp0zQJwFFjFcciIRyIiFEQqDjaFxh6kClR0kiuNx76ZIENjx rYiWZoXKgV9bJQCMiOFGNPyPxYLlbezu/OUWoSLqnIOQ+gCSlW4RN4ZQWATyLcNCk3HQHGrD 0DaN0UOwSVmAUHj3WDCZ5KnKPLyQsbtFd7MQI7vAU+ffwwvX+YPa3Zw6uRnNeSYRRyBZ0XUy 3Lk+5wvyhikAPViEnqVQTQPDlBzXEYbU5sgt8HSpksM+aqnQfujDsC7CYC1p0mCYeQS/fKrU ruVbc+XrKG7D3caP9HTjq7t2hAPFkQ7CJFjj9NBEdwx0V8+X7IVYFWNFJGIRlZFGHD/f38OY kFpDYfWK77QBdUru9dR1BXzk0HHgbNfoO2IKxPy5i6pjYxsIHa1w6F6KdrPn6ZyM1JClmOPI YgNXvmdWEKDws3MfhS5Lyjk91is6I2+9wHewIkCUDCdwMU9qoZTOxt8ipUjSlvnec0jgB4ZK breBwbRlBHEbqWKPnTGMGDoqNo7f6bVjjN1aLx8wXH+Lf7EVj+oFhm/Kg26K1lgFgWUyYxEx ASonp+lV7L0N0sbDrmqrT4RjdD6mfCHbONiAPlZ5csjQJ/lGSNP6a8/DatW0VCbh2+epyFT2 e5hkGwHnmDjrtYu0ZrLb7fzNXKem9NvACSehO+V1uhboGsg0XPGl9YHA3m7PSAuPQmi8tEhp 9iVEzhzWy57dKvcFmd+QHMHyA5EjFR4DYS/+tE1WY3ceIzBJeXyKYwVR0NO6v2YkxVIUgYco a/jj02jDY5+wN8NJjUezGj+Q09YbRi0kwgZXz37w99QKtFiQuD7rXZakl0OT3gsMLeG0AO3L 5EI2otRLnnHsgGckkjiE7xjIaLKUHxaFFXLnWdksGrQVwR+1tCLOZZhZEaPJux0UL+TDAHRW 2Gt0lzV316pKrKCkGveeBsDgXm1Ngy7vgYtBRtWjvRM6dQjG/H57BseP169ShFvGjOI6W2Vl 623o1k3HTHsrO24O+otlxZ95f315/PL55SuaySh348LdOo61BQYzeDuG77+W0ulLsgghhuEx PuhuqpXhgQ5L5dusJ+CJasltOT1++Pb49e3Ht79smXFbLWtmplRYMvc/Hp9ptfHeHBIwYuZi TKYydmHQoBNr3JCM4RX/VSnaY68To6yu0UN1xuKPTBgeVZI/EJGWsKolSBZVnZbM0YqmJj6R OAG0238dcmqY+1hfN+mQkohnTXp9fP/895eXv1b16+396evt5cf76vhCW/Pbi9yxU6JzYrD+ mBM0PdNLqkOLhK4cLhQQDt95iAxJavn+xDJLNu8DGBfFDAh+Xo0UoUjLg+vsi9j2NVwkr4Md NqT4pliv9bAdxrIcIgFba/Qpyxo4zbKCGILUdtB4c2FHTRE8uoWCRaTYucF6AdTunIbi1h/A kajYLeTJb603th4aI2Vg7X1or0m7dhbKMsSLsmWSXMURMMtMFtTCnjpz+bci6rLbrNfh0kBn 0efsIKplUcFhq8i4b8Bqw14EtmcwRpm1goZ7poVGbwuI+NZBbIuF5NiN/RJm6xqKNR3AdIHY V2LF+Y7bXciDarlU0CSGSF9Ftz3ntZFPRe/ZnnxRdRA+25QAacESZqEVWBwvK4SdG5jy4LE9 jt1+v1BUhluAJFnUpncLg3qK8m2FDTZCCyKRu2hZeoDzm0+RCTJYp1mzmfQTe2HaxHEWhRto MVbEaGqy0NYk9hxvYcUgsQ8DPMEUHH7bDkzpCDIuNmyuG1prVLstfGZ9ZwNs115omVPHOonN o7WGKpnqBDHfI9dRK3UucrSdxjvdX/54fLt9mXWh+PH1i6ACUUQd67oAIfu+rgjJ9lLge7KX ISTJKnjqCcdObJnKw6srB5i06SIkFSArIJYf3UVI513AGNItlFMZGaSH6UCSOBZR3MdFqeQs F1zJHI2twCJe/Pnj22cIRTA+FKNdhheHRHkaAyjCpcA8Qg7J8CrOsY4S7ACdfUk8usNUUmPX f8JdCwtSwc1tFGTUuuF2rW0sGI8qOXTI4A87cADEPoNAU7EY625mnfI4idUq0Rb0d2v0cJSx dUMcliCEROgwmhxZAOiTxbaUL6eqVxEYxBQIhXUdGHej0Q8nruerWTOywZ9q4u+wi4yZ62rd Q7LYYIkP3Q1bCw9r5Inru3KfDfsdJfSWwLE1Hd8RWdkG1/qJjVdmYDu+qXnAFEsdY2DAeLf3 dh5+TM8g/MCA+VcbQUeqBED0EdIf0WBbbNDEDmiCclsORDmuhciQArIzRu0G7k6tCLzPkjfK 7FcQrk8VSLOAOGXBhq4k0O1q6pTl+53mpz4gTvBoIxtl4ndApYXH7dsg0eyeBK4yU6cYxwKN Xa6J8fxnoo8Qg7XaxOM9lTbPuTpsmeUAMI4nzg4DVabway2tg4AebrBLvYEd7tZbreRwgY0U PNwZHH1mPmacw7ht4AVrLU3EAUZkj4cIKCL9xILkY0bxTC4BT24lwWpMKUjZdqlphMLuQm4h /Xp1pNBlLEaoqgMAS6QwGsuzpdUazYGVq92E6IUXZ7KrNKn6sxGmSLwL16GC49tYGUfSWHkK nVGzzTbo0PUZM+0U2YW/djR9Aoiae48IuHsI6bTSJCo3/DC3V7Tv/PXaHKqVpUE3zdht0aDo QJzoJlYUCd2QHqgthBvzPCq7WhKbRZ9qactp4TZUmp4mlxdnbfxEeYE+lgt3tM7alyweuJms gwkVztoq4guzq53pRmVAvx8eK8ANiLV6qSbEQiJqK8wGu3qJdmjVBLaLZEGpg3aGJehaFS0K oqsDOv3GExpdjR450TmR1XbKCNYbfXwK315zx9166EzLC8/3TCJ+sJ9WCsKMmdWK51V8KqMj GsKNqXSqybtA1DWGkYEobExlNDjJs7oWvmMIVjmyjf3NjKe1VZdRcXvKgb1ZW1IE0+1/ddpQ aTUp4OCBCEeAv9aT89d6G3JLcE3YtddNaHhUksnv6lRwhwLjNmaEDM4K6MduqNZt4NEdUFec 8VihgyD1XDq12S3LAophzBouaUGkmxY5LfgZa7M4MYbc5nu/2A3WmtGXhLk7RUlEqDaMx8Fl ycRgTgeLSmpOhx0IMj0S04vGewZdUMCbYHlfOGt4QUw0ubVu4qd0RyvROdGJpIZMnxmHrEup ilTlbXQUVvkZAM+DnfkzguQshV+cMWB2wawuZhSSEtWYjyDJcdagdgtnixIzWG+xtpxAcFYR Bj6ewniQYTjEnGCJ7xnEhQAq6Q9M+xQg/PwCa6npYARL2RSBUYCMBw7I54izEY6RZ7jIHA45 rEmMCjaSAN+RL7QfbJtdbGpLENdBm49xHHQcR6Xv+b5v5IUhmqJ8BjjT+QYVG6ucc/G9NcbN SE43+GgxKCtwt06EfUYX88AzdCwojFt7izGIiyYMxpsd3uFcO1tImGpqhlk1aHEL/c1V2yUQ 11fsRaGYYBvgVRn33dYUAER1SWMK5h26CkP36RIoDDY7bBAwlrwllpmhwUpVRu0WxOG8m8dZ 8l5KYW4xrVJtAvEsQuXtPCMvXKPDlPNcPM3hdEreh8r8bYhnSVm0HXBW7dB+dNEmqv2NE+Cc MPR3hrajvMA+nYr6frtzTb3fBp4hPI4CWppz/NhlAVTvM3QjKSDiiK6aqJgTzkKwpA9hZ3AI F0HnT6mD6t8C6ELldoAXAVihoS0ZE92vCphrgX/M9LemLrBLGgXFgnQjhWPMM9n3F+nNzRkg Btxoq3N8InGTwv1ayx5JQIbeeI6DJSaf5ggM9UxHYFGtHqW3m3CNLrHT4RLSZA3NZnHEUZC7 sSsoTVtcXLS7iVvUkXx2JDOJY18jiV+E22BrSEAzI8dAwzGUPZv8SLexJl2Wb3/2VQWelkvZ MeylSQ97w7ZLxdbX5TTZJrK/FIbjVQFKK7sOsHceJUzobjpstDDWtsRYbU18J/BQsSwcY6E8 1wtQPY6fULkePqPH0y5rZbDDL4XrePbO1w/CNB46GTlvY9DTxjOw5aylEy+Bx0+g8NQtLz4I u0AIAoWVXPVwlzn44qGfbyiCM4/22R537GRGMH2cxsxLrzL4OnIUgmB34sfXx+9/P33Gn38t uj6rzxfPfGqcyI+QcgNvShNfkB7tuQUyox9eH7/eVn/8+PNPeH9s+mBI+bDv4yLJM/Fta0or qzY7PIgk4fesKdj7qLTGifRVTP8dsjxv0lh4iGJgxFX9QL+KNEZWRMd0n2fyJ+SBzGn9qzCm tFTGnJYw8KBUtGWzY9mnJe0lzLFmzLGqiZRokh7okpkmvbhno3Rwr8yz40kuGzh8Di8TE6UE 8GIiFKzNSt1kQuqjv8f39xDzbmgyJByVyDc9U0VZUYNLYNY7ZdtUuJ02ZaeGd7Eo67jHxyxl 1ZcGE16UA9bV7A1Uyc6T9oGTMM3bWAPjI3SUSSe5v8YVVShMFzmGYPTwrWPQHqFQ40ujPdhx mFCtKeQapIC+MggM9XKK0Uh8PmCilzLPSa4MrGxf9MeupVqzsQKYR5zITyL8AJeyhrM4Jc8i pYOlrApjz++bKkrIKTW4pEMts6JGPbOBR+goWG+VTNmzXbjsLeo+ydTnbQeBiMo/7rny+Pmf 56e//n5f/a8V7dnxlFN7D4by+Nv24LqVxYKkBE6+OazX7sZt14KizBgFcUPveBCPZhi9vdBV 6v4idjvQszzbuS7WDyPXE82WgNgmlbsp5Gwvx6O78dxoI5P1mHFAjQriBbvDcR0oZSwIHZh3 h7Un008dXWGljgFqBaqg62OK2yQn1RacEpgRd23i+thBwAyBDdRXnYw5R4+84VzCmiy3pwVH kK9YElzjQIfeDDKHcZIwdMO+xqrAWFvJi31kYX72QpMM+2J7xur58Mxi54DryMjaYaXN69AX /YUljnSvLBQ0KpOqQTMSbts1HuYJPFVLMfqbOaohhFDAC+2lbY6dp8+gfUK3BFssYbqGdnFZ 4mNtuGhZGCm5Gltz9DmzyyNhzlXHCk1BUzPH8pPqXAq6GlH+6JVnroBUiyYIQDhdk7SWSU10 LbIkk4m/04qKzQO0ihDwaUXafMhqKoH02eBAZfgseSgjMOIrsrJqiFwIOuv7OGoS8pvnymkO KnpP18Q+wl9xo6gL2O+QtK+brGy16miGr+KX08PAcrbp/Rk8XIyVYXa2Si2Sc1HIz1dSYgQP vhlSKdo6Ep+HYxk3WZT3Zyfw/bWaVlGfN3Ksaf7yWvJL9OPL04u4sZho0piA+CRUEc/zCl5c /5T+FmyUehub+CwZVnPCZLGgkM+Rs3bkegE5jrLoXq0TwxPHRaM7jICA7mJSPcFTdohihb6P E3ctGuiNYNg1BVjudYUZIwncU4J9BuFxjPvLEXSJaHeiD97yiRRnkTr0Ll1dxXcpZr7MPkpY o8cHtUykQh9WhRSpVih2ExSsOsVZDxscqifzbZbMH+adTIS3HWWzJtawdL/VNhk2w1jn5vAM s3jIyZMqS+VujQ2oJj71p4j0pziROGqmUVlSIRmnfZleBzWFaBOjeHr7fHt+fvx2e/nxxsLA vXyHG3JpkwapjbEKYCeYEbxLAXegmWVlBnGUaI1T7HScJaeKOimRqgW30Co5x21uywxwVE9m gRzSjgqpkgqG0xk/9hg6grCeYGEtyF4dnWLznduKnAnd1yU8usRvrpyWEtBiCr93enl7X3gi nXVvsO3Wa+hFY2k7GIE2gDkANHDT4XN5WDFqA77CtKH6tlXbnvHbFkYNiU8pNvEn2IHkkheL kKn1jS8JaH5aWIKxSAsfgBki4Eog8ICwowx7y4lveUJkwhQXIz8uCbuPA9xC74kbHXnwd2fX WZ9qdYQIEIhZ5ATdICqkr4HlBa51eB3o/IK3dW0YCH4JZujmQlTzMJTL/7GerT7SszOIO80u A61DYELBFh2/S5ZggxfsQgMMnld6EpbBVn1gsI2DqTIPpgoZTOJSloeOo4uKiUxHi7IKcVZM 1E5twigI/N3WMh4gPeYR9lWlSp5pI5EFbGOB55SmGz0n6e8nfWEDSTxEDIifH9/edIctJuRj pSWYeizuHIB4TbTJ18p3PyzLsmrT/7NirdPSfeExpRue71TZfFu9fFuRmGSrP368r/b5HazG PUlWXx//HaObPD6/vaz+uK2+3W5fbl/+7wpewBVTOt2ev6/+fHldfX15va2evv35IldkwCn9 x4mq5ZrIAlW3Te8M30VtdIj2OPPQpCm4hykNM7IzAkqmccyOMPp7ZFqBRwxJkma9w0sBPNm4 RuT+fi5qcqqWMohyqjBGeAZ3EIjAlH78QPcKhFBhEsVmpWNEg/PSeR+4qOUL3xTAfJqGb/b1 8a+nb39JlyKi5E3iEL36Z0x4ZhY6Vpk0cVIS67UP+7g9Y6cvjMWmZdLEapNwRmVR1hjiGCVH VHGfEAlYSjYV8x/lb0o/P77Tkf91dXz+cVvlj//eXrWmYFOS/hesLbKfJ08MjqUT4tyZTp4n yOhGrqvTTOwUEZ2mX25iKdlnEPKjKvMHY+LJ1eD5NzDx02LWr6cMXlLHTizH1V4KNSkQtY3E zAAn3aErNOUBALw3GcRYshE79SsqquFwBxfRfLuvzUB+CDA8IGKa3xzET+aV6c1ZUdbEsHsw JB81d54jP0Wkg/ZpfpeVaPLxyds4hrSvp6xNT6lZ+nEYxCKgy1Sc5mwrjWdTUy2tM+QzyqgC M6QWcGlRp0dDGoc2yeDBDXsKF6olNGgBs1o+1RBZZs1vLBgdY5Z9moLq2wwtwiF0XM811S90 fPWJCmSw0aUgM+9Uprpe7SXNzme0hBBQuI5KOL6w8Q1VuMvRR3FEBFz59SRuDSkUcdufXdQ6 Q0TBTZkphYoYn75UYCEa3lUEdedhvGNJlNGliBa7os5dDw3LKmCqNgtCP0Rb/D6Ozh3OocIM jnpQJqnjOux0pWTgRgfsllCSV2nTRNesoXOeEDyLh2JfmYRiuzAQ4od92rBDbSzp6zXChVlV QwBHnFWUWZniwgk+iw3fdSSl6kiBf3jNyGlflbjgJuTsyAZiYu+0C4P4XCfb8LDeeqYUOuxU W5TKTKMWdDX5HA0xdICP0yIz+MoPXNe01ETJuT136jJM0gsxPHUE7Dw9Vq0aHFtGWDb247oR P2xjgws/h7GAd+blPymqMzGrB2xpSXPUhoXVvKZrN9yFwwmcUH9G74tDxt7H4wFpTX2WEfrj clTEaq7sdtsmKuP0ku0b5gGkDIysukZNk1WmgQHbVPWgDQKrs+3rIevac6OM5IzA5dnhqub0 QJHYeThL8xNrs05byOAsj/50faczb0ROJIvhF883SsURsgnEtwxYc2XlXU87AWIganWl7V8R ukBJN5RNzO1366wsZGfzadrUf//79vT58Zmr9bgCWJ+kjh/j7o88pCJlVTNuF6eZZJUw+BbT r4BvbCf+UMr+jPoIR6dLBai5ASYSV5j3D+NhOXrmZngJlY8hCJSl1ElCwE0Byvz902a7Xevf Cu+7GNpabGquz6vFHrR87Y7QCOrRVyQFFLRtn9A17jcX4Y775fJc9Pvz4QC3iDNuWsWqkgi7 RFbD2+vT979vr7SO8/m7KoTND/exqQXTQ7wbY8ThHPQshihgBW4GGnoGZmwr4eTKNA/rLnK3 mkpfXCA/0+6ZMj3tlJWUNXzDDv5MH0JpXXm27+knUDWJSJd41xV9pARin4gxnoTeHF6Vk1j8 0Hg95CDfWvFgZxflFkfcB8Md8nSkLQ5wtPtlGbanWltdEbr1kkt0YEeBComufrlyIjkOPw2K Uqt92qm0AqyGxuM6hXdQtL1Df45iBxbyKH5QWbKhAqeNx5fKIOC/HvBT0uPjl79u76vvr7fP L1+/v0Ccsc8v3/58+uvH6+N4FSik9Slt1BtJdsU9v2PF+x1KPuME4lgdZLBo9T+XMSidZrr+ 2iwfX6Y2PqI9BU05Cz8JPreoRKajBaLNq5KyP2VmjerYJ/sjZujAZEJ0FcWv+C7XYv9MC9FD nUoTihH6Nq5x/YyzzzG6cxy+ZSbxobAL4vRT4hHiuaKfCWcQOIZzeFAfJaPBpzvTT86hmu2/ 32+/xNxP+/vz7T+311+Tm/DXivzP0/vnvzGDc558caYre+YxAe57rnEd/P/NSC1h9Px+e/32 +H5bFS9fUKNmXp6khneJ4eZiqSiGFKXhQZe6nlwzqunOI7QohHFfXxuS3tNdRCENgYFstE6l 8H6fV8zCSSWNt/PhnBwEA6SzGA8dR79jquH4xnMR/0qSX+GTj1yKw+dmHQO4JFFuuCTuGCZ0 AVB0LJ2PoAz2zwzFwqIa2Sy67skQnQHqabwwZPWsM1GCM5JnLrHRUHtoM3OTWfxWWCmv8+zm f1M1oj0UGnWfn9NDlkqRwDiHX12qtaGMU+Ztd2F8cfHoIRx052ntcIIfmSGEBgVczqC/GZI8 k1OspniGFgro/DIEFoNMIQKxIcn4no5JNc0TwV9zZTOLxyc1JFe0d2pi1RV3ECjSAt5HuUNS AosfMHURbJ3B8IVZLGO0nsXTFCypZ05B9zE8GK7C3jewfS3hiOB0hQ1geWRx59mUBotQRDCy D0frX6TcjB9FreOKzwBxaumtXX8nXcVxRpMZPCg4m3jBBrXk5mx4mstTqxYXgeeGSksxqh9q BYjVUGoKu1mvnY3j4EF7GCTNHd9d02GLD0FutHRumoywkzY8BgdDsYBG2Oifua5SLbCJ3rhK CwBxJz5vPFHXTqe1ADO6MJj68Dao9nQp7O/PBtcaEdRE96byDzbQUpEgEthGLScl+lqVan/d dTrRZ27xzGpP54nhK2aiOl6AGOj5hf5a/3wwJle6jVnRm5uGPQDtWxoYAAEah4Kxx9BKbdSK VoYTT4yqxIi6/8FAjh13Q9YhJr54QWSHcEZD316UZlbihmttXLaev/MU4hjrVq6CFr2AUUui Jkm3qt0+OyrUNo7AsVWl5rG/c7QBowdnmGaW/x9tYlQtvrwxJniHBDtX+ygjnnPIPQd9ullE uKx0irxlRiJ/PD99++cn52emZDbH/Wqw0P8BT/uuyPfb5ye6SYa9yiCkVz/RP/r2lJXH4mdN Yu/h7A97CJfP/jGSn9ROedfI14mMDFGOjOmAEexDmypNy2P4zVNUE3jBDovjMXHd7Ub7avSQ Nk+orDaEmOVFPRaes7EA8qPu33p4fnz7e/VItf/25ZXuL2xrZAPub7jn38APfTmExTQM2ten v/6SDlFFo1d1+R9tYbm3gtZOA7eiy7xiRoMDk4xg+oiEKdrEUIhTSnXqfRq1Br7oo4rnH9fn peyjuM0uWftgyEM2uJYrN5hAs8HO2vvp+/vjH8+3t9U7b/R5jpW39z+fYFs37NVXP0HfvD++ 0q38z3jXsAsIkqVlq86AsXJRkYruRhKzjkrxFEThwSuB6hSdGmQ4vsFbtG2xE3YwSIAo71nO W5K/5vT99vjPj+9Q47eX59vq7fvt9vlv0eXCgBhTTen6IpjVTwUCOlIIeKIjz4QDOiCMOu70 MRBPcVtRMYWOX+ATuFI4mfLQHrEFInsXV5uAlLN6+ka7/c9HySsdvsjK9sAfWZJLzOhJesGp /TlL2fN5MjtpLtJeG2LyQeaIQBnhFr1bgijB0QZWtN/7n1KChjWaIGn1SbDTm+ldKJ8HjRyz /fr0rRLxfqQnZHCoRel9TGfRuXnA+duNic6eZUDKSbnB1hCVbYCcHorQD2zNM+h+SNvCIzA7 PIrPjBjCTWMfq+6gGIaFm7LkoMa/GcnEj2kP6A2WkdxxsS84w3WNnABrgo5y0LA2A7+ODyFX vLVPGWttbXoG8QJPLxPjBOZ0Q0MksbFhN05reDJ2GuM8Vqgdc++52Lo5zfQh+IhW/Cm0L1L+ IdiRrc9jCG200zuX0H3iTnShHRkHqvfIRhNTWnSOG2wvBYgfGgIECaksjOW08NYufrc2pXKh EDRuqADwkEHdQMgrZJQQv0CICZU04bT41ZkigJGhskPSZvSNTmeSzCT5fIOU8jb28cogaNg7 AbBDO5gJKdQWcmq93VaKejX16cYPMTqIlk1okGlUIKJxgubJ6Tou1pxxvd35ylrqxn3EXTfF 7gJV/APrZkI8V71OQEtja1c2JHcxNua6wGGROmVj58VCOa5VnlOA7yCtDnTfMy1yod8foiLL MZ1PwG03LjZEEuJu1hvbp8rrJNOcPmRYeqS9c7ZtZJedxSZsrS0BAM/HJl7Y+oi6UpAicDfI +rW/3/DQi7rAqf14jYZOGwDQ++is0iMxIAAf/ZRH7rd8yvyq9MbW32AYOZ8eyvuiHs8UXr79 AtuphYE4PL9olzr6bYeOGd9cs6IOBIyRC/DYMNicTb0I1zjLiP7CVHYLrCoMp7vzYmlPgL/G aIVcmo2zAJlfsFyEwQOWVhBiNa8XqQ1NbhBTxeFphyVEZ0cYfCSn6rBXQL3Q3jbDW5uWqXBo 6W9rZ43JPXi9wiY+pmeAtC/B6MpwCjQr/eajcQGjWiTpK4z5zZN5O3hsDOG5x6p09j6n/P5i X+lIeTFvo1ka5ovRCdK6W8eejeV5mxmyDVx7Kh0MdNuivPWUaJjzkMCjFI4DTgvgPabIH1i0 j2lm4aQdHcBpLLl9e3t5XRK5WPSrAZLAS2cX8PQXx+tMNbxwBx5LWiQ9SuzT8ihF0gPaFM3+ FJVlmhOZWx3mv8G1sInognrkxmFTgaIuAzA+Gtlj5vuobyKDLQ1kA1PPsPECNokcp7OwVck1 8q5T0aTzJ/6eLrQSliIsSqmJmRX/r7Iva24bZ9a+/36Fa67OqZrFkuXtIhcQSEoccTMXSckN y+NoEtXEdsp2zpmcX/91AyAJgN2U36qZJEI/xL40Gr2s0FLP/7ijqnAFMRCvHCm1Sc+LVnAZ by7YCqUy4isE3N0yFE3drtkR6CF7HpIWbcEWAcSaJcK6ZE55DIrGfZYti8iMDUnX3ltPUtOG XpwakLLfY0xUlqifP/kZrXbm+XkriiWbicbMzvkBr+OU/7yP/5qytegh/KiqDZOZqiZIuOYR 2wAH39FUqDftumIHHajyjqMqxTBoN1GqIq1xgbTpyjYUGQjW/rNTY+CFBTGpQ0IVtab23cZq 9HGdzKo1/g7bpagc+0eTTm/xUpT8NLDUfkegfozVwvW2VOBAh5RarYFWlnkFu6TjlknvGonX zf0OL78dD09v1g4vqo+ZbOt96xfpKvgPB4Hak7urKiSjU+XBX0zXQZhpFLtWo9VOpdMT0+RE HmdAAJ5iG448uBqaZ9tuUqswibARldMKpKxDUfiHY5+uHgJC72Jh3i685vZ92OwH6xSThtYo ie1MYR0s8Lga6RmY9CEBTwtRyThG0xznlUsGc0qpvhBwBBvtG7zRVI7Gq6Yu0dlLR/vllyFT U892mcCxTatU2RDKRMeiax2iQX3WcVwU57Dm9NUjLu8cvVkgBWmYGhI9Q/DzsqmoHthGbkQw /A2TJYaupt4CFTnF5xZr80KWpjUOy6hvOu9QzgeYT5jRcY62yhLEJxuPSw8vz6/Pf7+drX9+ P7z8tj378uPw+ubotXYxi05Au/qtyvAjuo+yKmiS2rCiWWSYiWFAX82qWqw8n75DtlOOV+W6 hFx7FyOM9mOYJCLL9z2MROUYVH6fz66pN4E1OiWUiaWx2qWg67ZC2Ju/XnEuekgbXG9rPvvb 88M/th4FChnKw9+Hl8MTRos6vB6/uJ6xYsk4PMDMq+LGl4ibgX1nQW52cLpuyLKSdHO+uCEv LFZTxyFHXOLt4saRKltU9TbETaMOpGPOnkJVMqVnnYMhXezZiPgSDeupEUXSJUuaLcjmA2XB Uq7PmW5ZprObG+rVzsLIQIbX586Tl0elXbnaoAq99cGdk8lEycSScM8FXfSglTgJW4VpnJ1E je+x5GCOw0qQmQFrD3/DGcAup7u8jOnjAalJNTuf3wjYVpIgpjcvqzhOMmBBtGde6uN8n5FR XyzIVl4yH8PdaK5VLqZzMFEIyUmpA86lqXsmqW5UZjH0zqtyFfEGLcSZ8UCETOfXs1kbbGmp Z4fxVJh9envFyTxtgIrDPYna5Bl9Z+gA8uMqayYaDJB1yZyBhp4xDm4H+vT3FX2bVTvnEKLm 9P4J+9aV3F4wUlcfSot4PdTlLdN7DuyKkd97qOv3oCilfua4mLORwtBweh1XHH/SLE9lYWHe 07pljibFjEwCdYrogxc/jdP9TUozMT2Z39MUmZ99iuzseVrZ5+nL4en4cFY9S9LXAHBvwEtD vVfNlIzah80vaZNoH8f0pw9jposPY6R4Nmw/41TjXdQNo7PZoWrZjMfSsGRkn5KTpTNAZ4Q0 Rh/WL4hmMNPD5+N9ffgHi7VH0D4w6vk1YzPuoRiZuoO6umaiDXqo65PbC6IYEb2DYqX0Puod Jd7MuFPHRV29o16IwoOY0wscg+Fy/n5wGq1kdJIP6cDp+zPeBqF8J/qaVgbxUIyKk4u6dDU/ +JuMM6OtSW/urPq28/jt+Quste9G2cGJ9/MeuLU9w221hD/lxeyiTYH5O9UWlBuy+62ahzxv ZAR4J1lekVYNc4E2/kkt+ARs/i7Y4uIUTF9konjL81padFjlMipWEyJwuiC7GHzxtW5fXRL8 K5ebiqIU6CdEvchMUW8mqbdOpHRTIhOD2hop2K1FwE4aAFAGku61Y5Xi4cPLy7eyYW4CWpJO yTd2cJXLjE1u/+WQyqskWBh2nlsYHNKTGP8plASxmgDrKkzbxlclsPaF6vnHy8NhrDanDBKc 10SdUpT5MnSmQlXK0V3I3FBaPpB6d7mYgBi1lSlEp7Qyhdmpdx8eENV1Wp7DnsBD4n2BD0wT YeFRl+VqApDvkglqGUz1A4zuYqoXgH4Zw0jzCO3YhqdrZZMJgHEmPoEwOiBtXcsJlNFWmspH T6hgiV5A1f7C7CImatnUoOyrqSbB6inDqUHPVLepmOXF6RoXMRyFcs2YghsQbHieprGP0A+h CXsnUautYG7EojSdT5+RojRhUVA0ek4bxAJme52qhxjPtnmAYMw0aC8tedVUXiyrGqlPaJTx 0EvSqJlNrCeUAbVlMTXC+Og5sWrwPD05qn/iWybb1mpt+lOmJwBp3XBR5fWjJNyA6b7os6iZ lRD2g8o4aDdNwccVgVEDJ2fxnuY+1nC3g2WblrQcuif7bKpLL+gW6Opj2EoVi7GeHJEKQ0LR D5miljBSM2on63o7ruR2HBpIAqtQT24F5gJ7EgEN4HwwdxCP3k1WdBiNXoRxsl0tlrYXGvKk 7j8UcbLMHf047MkU0shqdO8+bbqmR0Pr/LUXuN+XO1iFbFZQ4Y2qMovoNJA4uhYPTdFRxMTT TeOVKRbd2jwRJYbmQd66g5NIrQRRSLQ95RWjikDytdF7N3zO6OygEkYa3E1kgHwc6muxANy0 2M9VE/ziuzmB77EYn2rg3XTSYO+nA8seng4vcNnT77fF/ZeDMrE8q4g4s+p7fBpe1SoEjDo7 vKOnCyR2Ils/V6VWQLqx6+gmHI6oqnpd5s3KevrOI42y14TyCDN6lB5PZR6CbNZ5PAHQvlam cri4hZun3J2CTNYUZ9HE9zhBRmRtG3l4fH47fH95fiCVG8M0r0Pg7iU5fsTHOtPvj69fCKOb AiaxpfqOP4Hj8lPUhF2hdTtPwQSfaikEdPVz6mH1B8apQ1e+o+7AYFT/Vf18fTs8nuVPZ/Lr 8ft/o0Hsw/FvmKeDfyQdG9mIQKpnUjNUq7JLkW0Z6YQBoIgjFFXDRGXuPCjhXhVnEeNUqPeP RIG6oM1EfXVD9KMh0w7j/A8f/zFYNsPC95gq8wLH+aBiLk5mNNmMcW3t0/52pnZ1Rk21p1dR ORr95cvz/eeH50euJ7oLbMH678WclUsa5p1N0cf2te5pki7JdpO10zFO9sUf0cvh8PpwD7vn 3fNLfMc14a6JpTSKY8Q+GhRCzC0vnn3hp4rQlve/p3uuYDUm+HJCtm30pX5SgRv2v/9yOZr7 9126mryfZwXt6o3IXOUePqkzKDm+HXSVlj+O39B7QL8NUP4h4jpUi68LcZ34E8SU+v7ctV6S Jbgl9xjDPbCHQhBuBcO5qDMji0rBicQRgJ4B213JiLYQUcmCk3wjmZCid4pUVNtU4+5+3H+D ic6uQ3UOoNAO7QcDeiXpswJ465bxc60B1ZK+HilqkjBMm6LCqUOrXClqlfoqiy41wO95wE5m VUVsk6bvyB5yFxshF/fZmlUZORY0A7sTAGfERFVQm+eUMD2XvW71Nk9qFZInb4rRivDxF/8B ngk6psRD491fzZ398dvxabyZmA6lqL2DjHcxBb16Z4qLLirDu14nV/88Wz0D8OnZZokMqV3l W+MNss2zIMSJ7ajDWrAiLPGmJmjbKgeJx1QltrbatUVGtz9VISRDRiY63oZ+IwgfkShBMmyu ciFtkJywCS+i78Fp+SSBGnV0G27RQQvRYYrQVS7LJb2NkeiiYLhpF90vmiCi9OPCfS0H1zTh v28Pz09dCLTAZ5A12POoZhJTsZ8tLq8t7xoD4eLi8nKUXtTZ5cw1UjUUvQPBzt6mcUVvcAZZ 1je31xeU4YEBVOnl5fl8VNnOX7tjr9OTpIoKdUFGMYddMy/dmAJadBiUIuUEPAgImY3ccFvA 2UT0ObCsZ20CPE9NM6T4GhWmjG9LtAzgaOpuuSqYSqdbuMviVFoyelIo7UQxYxbWraRLQEgc 0flrJY42C7ny8eRmtD4DcYOGM0HJ9UknniwLzumnFnpEqZyzA9OJe1PS5EKtfduTbnekhKPE CypxNl+Y1GGwOmMerk9iUv1PO88bfvjegjBp5IwIE9W8pDM0c3adSHQC7+o0DuSaCV+HCLwo xOOLuYdgFfUMgFUYVPSwTBgeQJEnrjFI795iWMDYBNsiGmG/36freLllZHo7PFlolkTT9rQO gSEy3ksMta0ZZk3RtYXPijKVUvS76mp+bpk2YaLykXnhDzxcoFHBFANCscVNWSZrOnCOk4r8 iOJN8RUVrw4xo4KpPx8H23MBe3pfQ5raGoOUk8cjRPnOdHXfVTLzEoE0S60TWB96s1c4yQS2 VUSztXGvEgpjjnwWQLDHNlUpffgtq5L5jSwSWmqhAGxAXk1ltAYUkeGXNY1TJeip3MOjAuAz NEvlrd8VNQ45J72GvC65x0AFYHwwG1qbMIrwSN/GqA840S9jVwtaJFHenT3ABcCyDOpOj/IO J4VtaN1Gtvc/tPeGQ82ztNJviSKetk6ELUbilwWzIfc4qMT0kf1JzHhUNwlVeTTHUy1u4I7F 2YTZSp0cpqvK+qbiy4GPB9tYEQch83wGWzNAqzrknuAQkNWehXFXE/Xwh3WwLEzV6oT9M3at zY0YH6oF3PMyzpjykjzPViiLLeS6LZhRhXNz3DudWMqfYP38gqvaBi9OwznSBzfMZa2icfY9 jLraspdEOZd8RRP1mlEmNfR9NTtn3vcUQAk5F4xTMI3g2QcDmGAgHAT+koJjRZVaOmeFpckw CRi3FZqszu/VbgKymXNu1BQ5EbCVcLNdAfS5PoFI5bqAXVyU+6lOnXCgM9C1JQvcoaf6FpV3 JsjTiisaox9H84rxPTJgioDblBByyhxDo1gbNUMehdLwARNalAbB+8VR9F6LfAIzqZroQtpV 0kxVGDURSbLRVuwMMk6ZUnQ43yxDezZbfzyrfvz1qoRbw1lmfBGZKG/jxDaNgckKvCBwSOgY WJQA5DXDjgNuZOs1CPEwJNQqZSOu4ddSZNoxL8aSY3obcVpJjosqZxD4uN41Zwp3ezInfAn2 w4c5GLU8b3RQwGlQu9on74LN5uI/wV3AwRQzvHEPFvvVe2Gq5xDbikwkOT/g3ieTnW1e0LC+ tIRdzQFlYzZdT20I5g+bAfTKpth9aqo/jr/Oqunezaq5dh3Bsd+Yj9KHFjXDCXeIqcllGuI3 1lkSRtUyL0vHW7VNDIhWdjQd4PZE7pVItpYHASQpKZQyiVIBGB1aGu/hZGU3C6PIM9Vwowt0 CnJ9CoJsBDJuU9MOjduAGcjy6SHveNypAjVD0G7L/RwVVqfmqIGWwDGzxRqPa9eXSnyaNMDv lpMbpGa+Tkw6jaEXhxo9JaOEYqEJTZ3G/vB19BsVq2OqOhopi9lM58QUCLf7dn6TpSrgqTuT ehL2kT+FkTg1GmlaXJwGYKE8AtVGJ5sIgCZiZB6Gvq9O5bAOGC6nA+i1xBhhqmNIsZB4NQjC idqIolhjvNY0SGF9UZJ4hOUyTPLaZOYOiLpBmJCrTtZG3+xucT67nex0zRrC0uCXmoLcMbaY A2ByuSqIjqJ7GlNlRdVGYVrnns89OsNYkq3XRDVf31HkiWpBV96cX+2n568ykcLOZCGlUHpT U7koR0mwt11MMzHDi5f6xXh0c5BqU52c2y50ckBdqKziSV7CRQfvRU9u2T1KxRRkYUZmEBTt Ng5C+iZl4dTSfhdysnLdu8rUZtRjpvq5v6i8G8XPmR41WfVB4MOFFFSVr7UsdHYBpwl02hTX 3kMXp6HxenF+Pc3iK2koIOAHP+z6/el20RZzRoYMIP3GNlVYkN7MTix7kV5dLk5t9X9ez2dh u4s/kQglipdaUsRyFHDzLeIi5IdXhRflRCSaZ0IRyyYM06X4qMJhvhM61fz+3UVxdvyqGXCT BTu+9EjZnHtb7s8EVLOQyhtcn1/gvReZ5FRaDDL8wOuyJbYTVacoIJ4+vzwfPztaFllQ5r5W Y6cSaeC9HoewosSpoCjez/4Rs89eJytxaUyfWgMil3lNn8nm2TmMGkbrSmfSSQlC1C2eKq0D cuVpFNp08XVCtomvkOYgohP1UNoSVSAYkVl3HvDF9JDpluA9j2+JqYvahdCrF12bfhc9NQrb 6Ap20ImO65SKT2WE/odhqFYFaV2DbsCqwoy1zS9pX+kTuSu99VOFl1w/mB7Fq3W2LcU4LtB6 d/b2cv9wfPoyfs2BTrbk7HWKJq7AFC6Fx/MNJLRSomx4EKGio7v5VXlTyrBXtaVoQ+Qtr0BD j+pSkEpgesOr12PntfW6XdW0TKUHVDXlxLgnA+dguUbsUos6JlIHvQizURFdPtSAlc9GzH2n DsngyRgctUjCvYqdptVorUDSI7MEDFEtgtX17dx6ojeJ1Wxhh9PBVFc7C1OUnfPj0EiqNEtp LS8K+7kpt9xJ4S+lG+cWUiVx6j78QILRgq3LxO34Ev6dhdJRh7PTcQdnJ0APUpnnFezA9Knv gPn3bpk3JlC7+2XZFHUrM8Y+Um1wxoZyEpMU0yjUz7oLKXN+NCS9a0QQhG7s4d7grobTGQ71 2jPL6HB55axK/K2vfQG9GSmADELas76iVhl9uHvagjps4REDtSk+xFHF3MItLxA17A1wSxAl HdgxUuZILsMS7ut5S5pWAeUCKI6O34XKP69iWCQy8fJRxCqUTRmTYeoAsvAzXKA2ahvlpaqI o8u48MvySF1JHsVzQfvnMrDUFPGXj4Cs0qUUch3aD6kxdCFQnPBwXSJAXW8QFrzdi7qmOv9P nZs1d/6028d8YTXS+W7kOd7+phZ1jAbbVt33Xlvwt7H1a7cLN/2uyWvhJpFDjgQy9DwS8ixB F8WVLJulm5ehoG/QuHRJI3U6TBQV9G3dRqJmnoJXUcVM4WXtj2GXQk2snqbG11j8e33fY8oG pawZkJW5KV+6N9t0om4TnXEYoXF2HNFXsixO2OZG8661wwk6NxNi8gs9aa0lMR93kpvl9EpX EN2LRHW0rWac/Rkq/4j0yW8KQflyicEtORyGQaZUPLi9A2e8W6curV1qdy4F2VFxErZIjzNn gqLCPjqF+OgguKqGmSw/Fn6jBzqOu72h9UnEnmUIyyYGrgfmYrzKBB5alY0auen2E2KdoGwC rA+Fj+v2hOHiXKKRvEpud6LMYpIN0PTRsr6LUth2aLVMTaNksCozWVvDKZo6jyr3UNFp3lYb qVOGGtgc+jERH51NYkiD1RjEJbI6Qexo01AQkewE3AWiPEny3WRR0O1BuCcLTENoY170YVzl /cPXg3PUR5U6rEiWwaA1PPgN7l1/BNtAcQ0D09ANfZXf4hObdyjlSczoXH2CLxjZYhNErU/q qkRXQ9uW5NUfsK//Ee7xT+DlyIpGavey5CcVfOeM+daH4O/OKFzmARw1q/DD4uKaosc5uk2v wvrDL8fX55uby9vfZpZbdhva1BEVyFBV3ylfpxAl/Hj7++aXXiJTj/ZrlTQ63F1yuaPZxanO 1Eofr4cfn5/P/nY62VrRuaTXiKIAc5wEZWjFLd6EZWY32tOPF6VcdzxG1a6bVVgnSxvAJ7WF 4zgfrvNR0MoSbsShl/9awJ0pXuFTqvS+0n95538YxVtRdnO+E++N+8W+GVQ6gIKORkD1T2aH 3YEf3cA7E8oidzOyhRnpDL5Nu76gVddcEOmS3YHcXFoRDTzKnKVcspRrjnLlmBx5NCocnweZ u31oUS7YIhfsN5cs5Yrt8psrWjXSAd1eUOENXcjlOVP67QXX5beLW66VKkKyUxnYiHFatdRm 5Hw7m7NVAdLMz1cFu2Dy7Mqcufl1yV67uuQLrupUYEqbfkkXMxq8jkCF+7Tpt3R+swt/0vaU UzWceVXc5PFNWxJpjZuGMXHgRBSZ22MqVE4IvJyk0uEu0pT5OCNZ5nDZExlB+VjGSULlthIh nV6G4WacHEOt0Cx1TMiauGbapqvkdCzSgEHdcAErEMMcsE0W47wdyjIJbYYGsUn8SSBP3ceZ sQWPjsBEu/o4PPx4Ob79HMfKQV/C9vH2EZm7uyZECY6SDwyKEGFZwRUb7UABBqzwyj5jNJcf Bl2GfRPhdxus4YoRlmLkGr47Rc21CsOwVEontC5jV6o3cfPqSN61C45g5PK1/JiRq4la6TaF ZQo9uw6TgpQhdTzNUE07mFNSpR9+Qf9Un5//9+nXn/eP979+e77//P349Ovr/d8HyOf4+dfj 09vhC47Ar399//sXPSibw8vT4dvZ1/uXz4cnlBIPg2P8ITw+v/w8Oz4d3473347/d4/UYeSk VJwA8v4tnu8xXMyBHahrYFEsjoBCfQrtdaWSUAN6A3Mrc4x1LJJIki53RkjqQLEIHofakXBj kH3XkrfDDhrBIrWQ9lRn+qgj813c27v7K6OXzeSlvh3bLmNxjuf9NeXl5/e357OH55fD2fPL 2dfDt++HF2t8FBjauXJ8TjnJ83F6KAIycQytNjIu1vYd1iOMP1k7AZKsxDG0zFZUGgnsmb9R xdmaCK7ym6IYozf2M0KXA8pJxlDYiOGoH+dr0tkP0ARQ+fDSUbt81CqazW/SJhkRsiahE8cl qb+I0W3qNeyf9rozFN+pm0vtQ2Pqi86Pv74dH3775/Dz7EFNzC8v99+//hzNx7ISREkB9QzW lSPlqM6hDNZENpBcUWq1PbkEuuON2MzYlPHQbjquKbfh/NILOaGVB368fT08vR0f7t8On8/C J9V2WMhn/3t8+3omXl+fH46KFNy/3Y86Q0rr5bMbaSIN7rLw3/y8yJOPs4vzS2KFrmIMiD5e i+FdvB3lF0JusLttuze7pfJv+Pj82Q5/2pW9HHe/jJbjOtYlMSKSFNP21ViOsk7K3SjrPFoS WRdQMz7vPbGIgBdA9zqj/LM137EBsFV1k45nIHrs6Cb/+v71K9d9GHnRL3DtxVft6jzZoq3O SUtxjl8Or2/jwkp5MSeGC5NHqfs9uR0vE7EJ5+OB0enVeNxLWc/Ogzga71lk/mxXp8FilHka XBL9lMYwf5Wy+0R3lWkwuzofL4i1mFGJ88srKvlyRhx8a3ExTkyJtBo4h2W+GjVrV+h89Tl+ /P7VeSTv13RFtB1SPZc8/jDlOwxQR4yfJnQxGIm1KjA2XTyxgUqBfDn/fVWTobwG8hXxmadQ 5xIj9Te7IRLZATddhNnEuVWlC+Kzepf7cf306Dw/fn85vL66vG9X8yhB+Zhfu+RTPur+m8V4 IiWfFsRhBKlrWnPOAD5V9djlUnn/9Pn58Sz78fjX4UV7++wY9tEUyqq4lUVJaxGYppXLlQrf OKq0ojAbmKYJMjK3DZH1mEFCwijxzxg5/hBVJouPIyqWhG7VfJb42/Gvl3tgy1+ef7wdn4hN OYmXZnmN080+15ngUQM0oPh2IkjP0j4nqjQNoUk912HVZQpGkgOmmd02DAxZ/Cn8MJuCTDXA 2s6pfvI5l+kOY/bh9Y7cNrZ4idvFGWcfbgGNMnfJvBNayOqS8fxulao8xghGD3gErDmN4RES mj+xcHpYTBzxA1Wzy5OFzM8XTFS0AXzHCC0cCHrmO92lcbqqQznaFyioCa4tpo4ExPX+Z4kB FFG4l+H4UoREKeFEZrpHmaRV4QRLoToxTfJVLNFmdLTePPr4Edap5rxhwq4MoE4zO5eVOvjh 6PpPPllLKi6LqD6maYgSLiUcQ7sK64VnIBbNMjGYqlm6sP3l+W0rQxRxxRJ1oLQClCWt28jq Bl+st0jFPAzi0UZcd1GZye+v1QUUPx7S8c0d/dqG+vFfaW1gDeLB8Zs8vLyht0C4dr2q8EkY S/b+7cfL4ezh6+Hhn+PTF0shMQ+aBA0ylaTwwy8P8PHrH/gFwFq4zf7+/fDYvyTp96i2LtEq MOjkkFbtRvQK40271HBfl8LuvNH3I0Sr9ujF+e2VI5HMs0CUH/3qUCJKnS8cWnKTxFXN1nxA qLMV/zVuQBluc93lGuBnYtG7Hhiept8xOF12yzjD5im1h6gb3YQ92zE0+1VbOB5furR2GWYS mJaSCtuEulGiBGy2cllu9AJCd+gyBtYe4zlYg9fZ7APXn8niYxuVyurMntU2JAmzjjqs47wM yDsN9EEatlmTLqHMIT8t0hbJuIRCxr3iYb9JSNj/gKFykmZXLmJ8l5NtXDetw4N710n46T4E uBTYRcLlRyZ+sg2hnn8MQJQ7vVK8L5dMYBCgXnF7pWTKsfw9AjMyvktLS7ziX55h8gR56vaD IQHn3+tUualBOE7/hHwQ8LSJszF80qyclwr3DCJnTKVyhnvFgH60U8l6wCWDyFwlU/j9J0y2 B0intPsb6vHWEJU9TyH9bNpY2O/MJlGUKZVWr2FZEAWjdS61lgx5Kf8kPmJEnkOL29Un2/GU RXBufU76Yrw+1fMDarFZU0g7Y09yvF0/Uqn4zGWvV4cGJdq0pbRmp6jQyTtsFluMEVEK60DF 15k4d6yWdJLSU3U2EEwPUuuyAj+w2ESUaFyxVhc1u0+RLtCGmlWuQQRaxU1tz9Uq0d1l9WKS OyOOv/uVR2TR93qdp7G0p5ZMPrW1sKRd6HUKLivWlpoWMaw+Z2+IAmt953EAI7GCk7C0+rWR 1Rz3eeeUjfKstuJ92Kk3/9qjp5Lw0Qwape0L+s6A2uW2Pp5S+cF3r51IrCgOFeyMnt55ga4N 6NezfPmnWDE+plUbyN7tT/XRoex3fJyXoTOXOoK6iVfrJIgvWGLJEpMpYiPTIrCfuGwisMrK wq5SU2sXBh1/0T/ZdYyiSv3+cnx6++fsHpr7+fHwar+VuuqZOuAVfYIjVQrjJKzvXRg5ZVuk 1EqDNrYfaLTBUgs3igS4jaR/57pmEXdNHNYfFv3cNez1KIcesczzuqtcECb21hB8zAS6pPcU YZ1k5TfXnmRwf1jmeG8IyxJwtN9s/BD+BwZqmVdO7AO2o3th3PHb4be346PhF18V9EGnv4z1 C6IS6qC0ZT/MzueL/2dN6gKD4WF9HZ6vDEWgY+lUlFXpOkTPgqhNCiNn7xK6UZXWr0YNtlTU 9hbsU1SdUDHf0XXXuUS5MjlrMv2JSODS014tKN8havnvBOwWuqVFrmx+XFUEm0Ku8W0KPDBa VwnKfseu1C4UG1TFaGXR2OP27pFxYhyZxRYc/vrx5Qu+j8dPr28vPx4PT2+20ZhY6cBeypvj OLF/mw8zHLkP5//OLF1CC6d9+PEtrIihMBsE/kmfYB0M328VMkU7rIlCTIZG16E/W9XRDIO5 WQVLLr2920do2L+xTgQXr1DrPMsboz7g3tAUuXthHnRk+lRUd8AdgWyqgm0Caho2y0qMtT5U KuTXZEHFEBU3MoLQH57+olrHkcOB6OQg3vIKIRrSZLDw5RrnD9c8PCSVBR7exUdVtc9knRZm 9rOhEmXobrLUYN+1ENwJhCrAYTKeqb5/eVuHp893WFRKITHc12FWadmJkxlSO57LK6cnmeXW rT6yc1Up+Y6T0CoybExVzhgzDEWikY7H9Sh+VAF2+3E9d5SJSn89roMmdZkjlUKFPfPy1bOA kk+qtWoGCZiLBLZKv19PpaPetWLw9CybXZ2fn/sV6LFszD0P16suRbQDeQ+udLUqKSiVKHPK KTWrptK638PRL9d4H1HEMAu0NRJ3Zg2Dt027+HV+r2zTcYp6Bnc1A3tSuRxPA5U73JtX1Ijx FfDrGJd1I4hVZwgT/aqjLChlMkrsoDfDjcAdY/zOoqm7vEQ5FBwZyvwNZkYrgsDcv31dtGGt +zWB3dF1hKtVCRB/lj9/f/31LHl++OfHd31yr++fvrj8rVDBM2EfpO21HDpaxzZwFLtE5I3z ph6S8YRqcNXVsKbsy3CVR/WY2NcFzyi4zojUBqoyKGEdC/ZrqYtq1+ivpxaVs0z1GupJfVtm 83OqXgPwdLU8bF+rPtvdHfB4wDQGjNNHdbjohtF2KpNjrFV0gWn7/AM5NfuwGPQUCbI/v7BH NmFYTG7lZRimRR/sEitjnXr/9fr9+IS6SFDPxx9vh38P8I/D28Pvv//+38PRpWwGVXYrdTP1 79NFmW9ty0EnuRQ7nUEGfeZZFpp474Ln3lAk0tTh3n5UNYtriFjvLn8avttpSlsBL1iIeu0D yl0VpqPPVA09YQimBWExSkDZaPVhduknK92vylCvfKrevs2NVEFupyDqmUDjFqOC4lI2iSjh Uho2XW5zf9YYNNvlWmYD/RSGxXj/NaOsxEydiII+vVXXwTaCBpv80TmMCy9NqmTkZGRvwv/J hO5ZQ9WTsDerY2rcxo5CVaUXHwzDry6WqAPdZFUYBnAka+H0OOON5mWYI+EfzZN+vn+7P0Nm 9AFfaZwTwQxBzIhM1Xo39w//KOJ3CGUGG3tXWMV4ASMvaoESB3RpMTJPdvY6pvJ+PWQJHZTV cCusRr0Ak5dknPU2Ii3NGG8ydJIE2SAblViTxKJwM9GCoFm6k4FFg+t3qyQQ/Tk0n3kF+A5r HGp4R9o8dsFcnaZ7O9edEQWUnRDAFeuodQYXCxSx2aYqeaGrZB3yimFGP9+qHUhUQgpr19NL Q7obq5JHLpsosvPSEcIQ72z68FeNlal2MQpd/BqY4wiFvmz5Tn4mwTp0BjEL3+OVQI/p9L6k bU2MQHI0CV+Orw//40xDW0pZH17fcJvBs1xixLv7Lwd7gW4amuvs1hgK6fJy8AswPDv0wicf MYioXZcCTk+IONGXNnVUERXwPlYPocYE280lFZuwswgi8wFMnPeL4KdDiHAnZ2tMSn3Md9nI TYJTqVR2dSJuDBuZb0csPDDukGzmc+FcqxFP7QBNhq1Sax9nnKuMl2wC22uWYgDTOEP5ZGGr rClClZeMzx6kBvGWeSrdwF63DCvb6QbFx/YSbDwz9V41PF8tUQfW38DsdyuDtwx06rAEDrjt P6TuGjBdYAd0y+ped4Y3WL8j1uEeb/l8X5jHDm2KRa/XDlfJgrIG0yorQK9za+qp1F6RwcsL rtoRl5N5xXEHumniwEvae896KhF9HETAX3rYEpk2fd8ddRCtu6locSBGdU82tAumru7eTdGl w03e3x5cAO4KLW4LJCSKswDLoB8P3ZyiuEyBL6Jke7ok/fTh9pOxz1M6LN5KC1MpYEC9/lbc GF70R/0EHzACAF09nOq4Yfq2/OhDA751l8+Q4BuakeeBxdwiZ5jGVYVzPMhlA3sKwy1rJnIZ 6/2fdjPhPZX9f57aZmDS0AEA --EVF5PPMfhYS0aIcm--