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=-10.5 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 EEB3BC433E1 for ; Fri, 14 Aug 2020 00:03:13 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id B1A022078B for ; Fri, 14 Aug 2020 00:03:13 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726609AbgHNADL (ORCPT ); Thu, 13 Aug 2020 20:03:11 -0400 Received: from mga04.intel.com ([192.55.52.120]:36113 "EHLO mga04.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726205AbgHNADL (ORCPT ); Thu, 13 Aug 2020 20:03:11 -0400 IronPort-SDR: n6vGcKKlCMzR2B4sOpI+P8Qf1cQLjwCPYws3cUVV7efRk5bzzP+tL2JeoJtNghPYaNZOPgL0vT Fzys8JaldFCg== X-IronPort-AV: E=McAfee;i="6000,8403,9712"; a="151750286" X-IronPort-AV: E=Sophos;i="5.76,310,1592895600"; d="gz'50?scan'50,208,50";a="151750286" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from orsmga004.jf.intel.com ([10.7.209.38]) by fmsmga104.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 13 Aug 2020 16:32:08 -0700 IronPort-SDR: JF9HchBujWWCBv2uinJ/SAo2s5yhZc1fap999Qnp6SzAgWyHy8TZuLifs4f14Qh6elO13vJycS dwe48sLbRDYw== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.76,310,1592895600"; d="gz'50?scan'50,208,50";a="439945808" Received: from lkp-server01.sh.intel.com (HELO 7f1ebb311643) ([10.239.97.150]) by orsmga004.jf.intel.com with ESMTP; 13 Aug 2020 16:32:06 -0700 Received: from kbuild by 7f1ebb311643 with local (Exim 4.92) (envelope-from ) id 1k6MhZ-0000rv-CU; Thu, 13 Aug 2020 23:32:05 +0000 Date: Fri, 14 Aug 2020 07:31:30 +0800 From: kernel test robot To: Christoph Hellwig Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org, Tony Luck Subject: drivers/net/ethernet/amd/amd8111e.c:107 amd8111e_read_phy() warn: this loop depends on readl() succeeding Message-ID: <202008140720.te604kbs%lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="jRHKVT23PllUwdXP" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --jRHKVT23PllUwdXP Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git master head: 990f227371a400c0fbcb98b75c91a7dbd65f6132 commit: 05933aac7b11911955de307a329dc2a7a14b7bd0 ia64: remove now unused machvec indirections date: 12 months ago config: ia64-randconfig-m031-20200811 (attached as .config) compiler: ia64-linux-gcc (GCC) 9.3.0 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot New smatch warnings: drivers/net/ethernet/amd/amd8111e.c:107 amd8111e_read_phy() warn: this loop depends on readl() succeeding drivers/net/ethernet/amd/amd8111e.c:136 amd8111e_write_phy() warn: this loop depends on readl() succeeding drivers/scsi/megaraid.c:1224 issue_scb_block() warn: this loop depends on readl() succeeding drivers/scsi/megaraid.c:1382 megaraid_isr_memmapped() warn: this loop depends on readl() succeeding drivers/scsi/arcmsr/arcmsr_hba.c:2289 arcmsr_hbaA_doorbell_isr() warn: this loop depends on readl() succeeding drivers/scsi/arcmsr/arcmsr_hba.c:2315 arcmsr_hbaC_doorbell_isr() warn: this loop depends on readl() succeeding drivers/scsi/arcmsr/arcmsr_hba.c:2335 arcmsr_hbaD_doorbell_isr() warn: this loop depends on readl() succeeding drivers/scsi/arcmsr/arcmsr_hba.c:2654 arcmsr_hbaC_handle_isr() warn: this loop depends on readl() succeeding drivers/scsi/arcmsr/arcmsr_hba.c:2679 arcmsr_hbaD_handle_isr() warn: this loop depends on readl() succeeding drivers/scsi/arcmsr/arcmsr_hba.c:2704 arcmsr_hbaE_handle_isr() warn: this loop depends on readl() succeeding drivers/scsi/arcmsr/arcmsr_hba.c:3492 arcmsr_hbaC_polling_ccbdone() warn: this loop depends on readl() succeeding Old smatch warnings: drivers/scsi/megaraid.c:3106 megadev_ioctl() error: buffer overflow 'hba_soft_state' 32 <= 27904 drivers/scsi/megaraid.c:3318 megadev_ioctl() error: uninitialized symbol 'data_dma_hndl'. drivers/scsi/arcmsr/arcmsr_hba.c:1403 arcmsr_drain_donequeue() warn: inconsistent indenting drivers/scsi/arcmsr/arcmsr_hba.c:3479 arcmsr_hbaC_polling_ccbdone() warn: inconsistent indenting vim +107 drivers/net/ethernet/amd/amd8111e.c ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 97 13a4fa43bff03b7 drivers/net/ethernet/amd/amd8111e.c Varka Bhadram 2014-07-14 98 /* This function will read the PHY registers. */ 46c73ecc6168586 drivers/net/ethernet/amd/amd8111e.c Varka Bhadram 2014-07-14 99 static int amd8111e_read_phy(struct amd8111e_priv *lp, 46c73ecc6168586 drivers/net/ethernet/amd/amd8111e.c Varka Bhadram 2014-07-14 100 int phy_id, int reg, u32 *val) ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 101 { ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 102 void __iomem *mmio = lp->mmio; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 103 unsigned int reg_val; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 104 unsigned int repeat= REPEAT_CNT; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 105 ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 106 reg_val = readl(mmio + PHY_ACCESS); ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 @107 while (reg_val & PHY_CMD_ACTIVE) ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 108 reg_val = readl( mmio + PHY_ACCESS ); ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 109 ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 110 writel( PHY_RD_CMD | ((phy_id & 0x1f) << 21) | ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 111 ((reg & 0x1f) << 16), mmio +PHY_ACCESS); ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 112 do{ ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 113 reg_val = readl(mmio + PHY_ACCESS); ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 114 udelay(30); /* It takes 30 us to read/write data */ ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 115 } while (--repeat && (reg_val & PHY_CMD_ACTIVE)); ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 116 if(reg_val & PHY_RD_ERR) ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 117 goto err_phy_read; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 118 ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 119 *val = reg_val & 0xffff; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 120 return 0; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 121 err_phy_read: ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 122 *val = 0; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 123 return -EINVAL; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 124 ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 125 } ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 126 13a4fa43bff03b7 drivers/net/ethernet/amd/amd8111e.c Varka Bhadram 2014-07-14 127 /* This function will write into PHY registers. */ 46c73ecc6168586 drivers/net/ethernet/amd/amd8111e.c Varka Bhadram 2014-07-14 128 static int amd8111e_write_phy(struct amd8111e_priv *lp, 46c73ecc6168586 drivers/net/ethernet/amd/amd8111e.c Varka Bhadram 2014-07-14 129 int phy_id, int reg, u32 val) ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 130 { 632155e65944968 drivers/net/amd8111e.c Yoann Padioleau 2007-06-01 131 unsigned int repeat = REPEAT_CNT; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 132 void __iomem *mmio = lp->mmio; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 133 unsigned int reg_val; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 134 ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 135 reg_val = readl(mmio + PHY_ACCESS); ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 @136 while (reg_val & PHY_CMD_ACTIVE) ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 137 reg_val = readl( mmio + PHY_ACCESS ); ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 138 ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 139 writel( PHY_WR_CMD | ((phy_id & 0x1f) << 21) | ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 140 ((reg & 0x1f) << 16)|val, mmio + PHY_ACCESS); ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 141 ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 142 do{ ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 143 reg_val = readl(mmio + PHY_ACCESS); ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 144 udelay(30); /* It takes 30 us to read/write the data */ ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 145 } while (--repeat && (reg_val & PHY_CMD_ACTIVE)); ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 146 ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 147 if(reg_val & PHY_RD_ERR) ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 148 goto err_phy_write; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 149 ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 150 return 0; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 151 ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 152 err_phy_write: ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 153 return -EINVAL; ^1da177e4c3f415 drivers/net/amd8111e.c Linus Torvalds 2005-04-16 154 :::::: The code at line 107 was first introduced by commit :::::: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 Linux-2.6.12-rc2 :::::: TO: Linus Torvalds :::::: CC: Linus Torvalds --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --jRHKVT23PllUwdXP Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICCmZNV8AAy5jb25maWcAlDxJk+M2r/f8CtfkkhyS9DLjL/le9YGiKJuxJKpF2b1cVE6P Z9KV3p7bnWT+/QNILeAiz7yqVKYFQCAJgNhI+fvvvp+xt8Pz4/Zwf7d9ePgy+7x72u23h93H 2af7h93/zFI1K1UzE6lsfgbi/P7p7d9f7rfz97MPP5//fPLT/u58ttrtn3YPM/789On+8xu8 ff/89N3338F/3wPw8QUY7f87w5d+esD3f/p8dzf7YcH5j7PfkAkQclVmctFy3krdAubiSw+C h3Yjai1VefHbyfnJyUCbs3IxoE4IiyXTLdNFu1CNGhl1iCtWl23BbhLRrktZykayXN6KdCSU 9WV7peoVQMwSFkYkD7PX3eHtZZwrvtuKctOyetHmspDNxfkZrrgbThWVzEXbCN3M7l9nT88H 5DASLAVLRR3gO2yuOMv7xb17FwO3bE3Xl6xlnraa5Q2hT0XG1nnTLpVuSlaIi3c/PD0/7X58 N85DX7EqOkF9ozey4pHJVUrL67a4XIu1GCdAofgyb3Ii/Vpp3RaiUPVNy5qG8eWIXGuRy2R8 Zmswt/FxyTYCpMyXFoGsWZ575CPUKA2UOHt9++P1y+th9zgqbSFKUUtudJyLBeM3xNIIrqpV IuIovVRXIaYSZSpLYzzx1/hSVq6NpapgsgypCy2n2aQiWS8yDcjvZ7unj7PnT95SB6GgvDjY y0qrdc1Fm7KGhTwbWYh2Mwpv0H5VC1FUTVuqUkTNoyfYqHxdNqy+iRmKpSE20r3EFbwTgNHW O/3xav1Ls339a3a4f9zNtrDS18P28Drb3t09vz0d7p8+j0ptJF+18ELLuOELeqAr2ci68dBt yRq5ia8r0SmqnwuwV3gjvnkbple6YY2OLVpLsjJQZr8JU6lZkhtXMyjvG9Y5bCFYgtQqZ1RO NV/PdGjnvZwBPc4FHlpxXYmaSF47FA285oNwpSEfWHyeo5MrVOliSiHADYkFT3KpGxeXsVKt m4v5+xAI25FlF6dzikmU8jkYEEg0ZzcXHyAYDBoxQyueoJhclXWSdiU1bMSV/YNszdUgQ8Up 2DpsPYJyhV43A48gs+bi7ITCUVkFuyb407NRObJsVuCqM+HxOD13fN66BDGDxbSaL0GoZjf3 itd3f+4+vkFknX3abQ9v+92rAXeLjWAHM1rUal1pukPALfNFxJKTfNWRE0dunu2MRmjGZN1G MTzTbcLK9EqmDXH5sCXj5BZayVQHwDotWADMwGRvRU2XA7LXwt2aI86+lYqN5CKy5A4PLHDv O1wtJqmy44zBP0f4asVXA43jiTEs64qBvyEBsdFt6agIAjFAIoxhqbVHC8KL05aisaT9nJeC ryoF1tjWkIaomoQ8a3KYYvQGQBMDUGoqwMlw1og0Ko8at+iETYH0TfpU06wLn1kBjG28IklM nbaLWxo9AZAA4MyB5LfUOgBwfevhlff83kkOFcSfAjLBNlM1hPMa/ilYyYVjAx6Zhj9iyvaS H/tsQ/K6hHxzUYKvMqkoyd+qjA5lHXWEeQGhRKLWHf4oNz8vypaw7/IgQ8OQT92YdUc0kSTe UOQZeHlqGAnTsPi1M9C6EdfeI1gh4VIpSq9BACzPiPbNnChAbETZUIBegpciOZ8k2pSqXdc2 6vfodCO16EVCFgtMElbXkopvhSQ3hbOHelgL/8asuMpCeaNSTKTPUkeTRSLS1N0mxld3dVO1 23963j9un+52M/H37gmiPwMvzjH+7/aOW//GN/oJbQorR5tuOUrX+TqxzsqxbyhaWNMm9Spe EeQsiZk78KKcWQJirheiT3w8HHpsTA3aGsxTFY5ncfBLVqeQpqaxIZfrLIPAWDEYBpQAZRG4 L295GIMrVmOFR61dZTLvU8ROrm6JN5AubPTNQYhgQ+dWa9X++W73+vq8nx2+vNiUjUTg3iLZ nHiX+fuE1jO3kFK3EMvOiQO7XEMS6yZMRUFyLkgE+AocJCTyel1ViuZwfS4P1iiTGjxylx+5 BRSERAysEC1MLlwL4i3Tgm7WjDzYMKCgugW9QKRqTbiguweXCl6NMxswQl1Yt6eFBoEOhF71 Zog8nt2ynCiI8FQuotbZI9tNEw9JhmBZtbfXp1/DQ1UsVZMn03R6Idv1JmKasmGlXDtmXfCV LHNxM83N2DFGk/b96sigI9mvq9hO9IhO5yuyMZe3F2cfSMa8vG1PT04iXAABhHQBADl3ST0u MTZmMkmdgwNce6rNT1tjBl3aO3eQ/AYS3ZJEHKk0qyTJxSH0wj7A9Bq3kgIvUV+cng4mW5BU oTTmri/en/w2jLJUTZWvTZ7oWakozYbv2hQd3ddoavhr46QJdtPoIha+YQPiZko05LPBi3Zh vBISkFBTL0SMhZmGFrngTT+NQsGW9yYK5SY8NnIBNN2sPYoMaslJJOSktRaTaId74OjLNU3G Spid7kucE8crWZGyOr9pq6xsG9WWMvU8l6FBHpg4Q2LUiFJLWnaCc0G5ol/DgQ1tG7Cxosqx rjcT8haE5V67wlynhfSl8Sy24AxUwkFf9Y2HqsDtlpkKXmhFXUNa+zuo6eLR28hCy6MuiBV5 W2ZXUZqVuBY8XoPUTINm1kUV5BrZ/f7xn+1+N0v393/3WcXo8NuKp/EuIIQGGXengLGZZ8RE DY4z7LTypYRwV6rSjJNBgEgYJ+km2BE2vJIMpdRHNKUWsMcyWReQJNNGnEWglhKlmtYEaCrd jgArWlVqRWija+jIN1WYncFsZz+Ifw+7p9f7Px52owQlJlmftne7H2f67eXleX8Y4z4ucQP7 ZlwKQnD4XJl2L+6ZWuV0ykjBWaXXmGoYquhUkSxsJncJzP9nsmZ1ze7zfjv71JN9NFZBU80J gh4d2lOPOZYf2QTq+Z/dfgbZ6/bz7hGSV0PCeCVnzy94dEDSqIpk/FUx5KsjBPJ8rNFSH3V1 CYnKFchbZJnkEnPgwEdZL2eTKWz10YLFe0LKQi6WTeeQANtWKXfpcTM04AztwNgdRKfnJ2uG 0sx24XYtHISpJWKu34xT8bqzfP99wfsOcdSGDA2LtfQNJmFNg/7t0XsjWTeNKqc5poqvpnh2 rVQolrkRSTDlgWCKg6wgO310QG54MSC+1o0CE9EpZKoyp/2DUbLeOxUHYeaqCeaEu5SB25qc U59C2JgSvL+MFi10noVolioNJL0sWDTiI+6KNXyZKmcDSGxI1GLhhMN+CfB3hp6ob6jPsv3u f992T3dfZq932wfbQz+KpC01rMsuo85n4u1vRH/dHZiJLKuZvn98e9gewLN8DIMYBE0tUarx LNVgYU9BLRhdQ5T9UInpSvBekH2tuN3f/Xl/2N2hZ/vp4+4FGOHsAx9mg7LbQ1G2ChVehkLA Y7Q3R1GxGGte6dAeoxVkj1GE8WSmjFwqRYJwX0JC7gyJEx5bLqFATD0XiGcB4NjqNSSeEM9N TXqEZKoWtLzt65NEZrolphHYJudFdc2XxPS701zDA1baQJIFLqZ06gbDInL683UKlIefPaq0 z4sFlxktRwAFsVubNBT7Zdj69N4W15Dz+zI1bQHT+qIKr0VmpmF6bFFjxmMA2tjRQe6ygET1 pz+2r7uPs79sy+hl//zp3t/VSAbpZF2K+KY4xmbwQeAGZWkOmDlHpxs0Vb6yUXpGoIQCG4fU Zk2vURfYZTvxpO2Lv6udMIEKUOuyA48VOX3HoqOiBrrutD0eUDs+uubDofyE0nrKieZFh8YG XA3RMH7oWMsCJgtmlrYrbE5G2+uK7knstpv8Gnz3WtDuUt+HT/QiCnQO5MemfSMWtWyciNcj sRaPhb0eD+avmiZ3NmCIAw1e+dx5keZYRJiKNJ4dI9lVEoud4yFWK/HwVJT00N9OAFKDNtP+ sChnVbkBw2aw2/3hHq131kCK64Qh029sjCF0qWksnEMuyUZSYq86VTqGMCUaAY/R05sKXVdx iRmOu1aAob+j3fMO7J6uIdBk3/Y2hRpPFElog7ekss2OFDwb6oisZUSubhLIdYcUrgcn2aUj 8uyy7fVkCKI+yZ3K4IWYe6jGdHlK+gOlLI0B6QpcFW53ukfGE0Rb9/27u3s7bLGKwitQM9Np P5BVJ1DtFw16eueYxI3wpo+Alfhw+o+RIThC7nhpXkt6TaIDF1Abj2JDlsiRqn9qsmYlxe7x ef9lVoypVZCcxLtIYz+qaxAVrFz7iVNf6dM+UEjXjzM0kywJaTD3GNIuwhsE5piryoXfqyGt HLzloAW9R0J6VtfYlxMx1Ab+V7AqaGsFFOGgxrva9pKD7+ZDb2e4mKCV6MK7sZ0I5RL0VqSM IceOBcN+5LCuHNKMqjFzt83Q0aSKinFvxnJRe4uwCrapGqk+ljdQNqcp1KL+CUdZ2wONi6Ep a5KsRkEpSXS50kTr/QqNbgpZGta2bzuWIblg9gAh3v8qWEQyt5UyDZf+MVk7qcDteabyePS/ NamHitXLMFtR19jltbmuabrjGTZpbKX9ARUm3Csn7tmzlI3JWulkui7m1NWiBV5AgAAGZaK5 nzj4gemtPm4qqh/RwGQXmGkQO1klY3NV9+6w3B3+ed7/BSkf8R4k3PFVtEcNLpecCOMTOLnC g6SSLUbFNLl2HrpLGuM711lduE+tyjI34zNQli8UlaoBTnRUDM4caWVQFY0TMHC9TtpK5ZJm DAZhN4k3N6M2qRvJtYeQFe60kTnKfyVuXIUAIOSrCxIB4KGX2bi2tDKXS0TUYKRVO7lGYh0r Z9Fbp4AeOmoQiRu3QwXYTCaYhopJC+0HQM9tWlREFIAzTDsKZu4DUe4WC5l0onTMxw0kPGda 0wY/YKqy8p/bdMkrbwwEYz823u3uCGpWV5Hxzbap6E0UC1lgrBfF+tpHtM26LOnBzEDvTLXo VtXfpiM3bUqAqpWMNgAss00jXcNap2TcgRViMrWOrrrDjROeMqWW0UNaBAhdhZBhWz46GH8X GKDZH910XYwvOwN0XYal41UMjGLwN4tB1OzKIOIG0A8CCgXXruJntjgk/Lk4luQPNHyd0G5B H+d6/MW7u7c/7u/e0feK9IN27iRWm7n71G1PTIEy18J7XIuHUhNGDjT2HhM6qzZlsfmjJOao cE9+c9TwJH2gYxyrkJU/fZkzV1/zaUuYh6aALNDwXYiWTSALgLXzOrpARJeYv5qMrrmphMcv 3EUGDNt3it0R34dzWSd4w9YH2+0fDFNQZzmwnBq5koWGzPXMH1Is5m1+FRWgwUEqwWNw7zoa qCFniYjl9oDCzyXgNd6lJcStVE3VeevsxuNnXoIk0nTAIJ4UUJzFrk4CaSZzLxYNwOgW7D49 2e8wfYHC6LDbB5+nBIyChGhE4epluTqCwou8BI2X5srS5H0O1FwN9i5Nd2BgBAmPs0bCpZdu 3H9TQjxPmTj+ceiMOqNhhVJlTTU5JVnHj6EdIlhWAvV8O9FAc9co41EZiZpe0vEZl4wcH9tn M3cfBim7rAVvHPH7m3UA4aWpGFiWcfigwwHT4FmV001GGHcmCzPN1VUYNA2lvbnnAtHWHql4 GvsB0oTwoKZi+jIqt04gPrcyegqFmEhiAVCV/A5xaOKVy7VqmLuAWvzu6aCHBaLFI1e99CeI sWJiOJsMuyzwMOT6xjGGFEqpmLqm4NlVGoFbzdlrgmbmj1GcM/3BdVyHHn08NDvmvEjqqOmY 9hkvRl2cfZh7UCjQsbKWVUA/YDAUTCDNIfajkygjFnXTymg64BCYwOCz7nAd60lcZMYEW0YE MAzKp6ZcRA/BKQXwHdlHeZTRwtejmJxex38SKd1ytMOae7G+zjfam+JGm0Aen91G+2fhFgjG iMrW+KGKbfpWGz077LdPr3htBI9+Ds93zw+zh+ftx9kf24ft0x12BV6HOzDeFPBYTmE6OzkP SwGJuj8Xi2BLr7wguEmEU6EQuOYmko0re+27yOHM6/gZg0VeHcXmE3aFL+bcUxsUXT5EbbJQ mXlyhC0ia59NuvQhOoAUIY1Iw8HLyyCzMvLTS0eE3mCjOf1K3imOvFPYd2SZimvXBrcvLw/3 d8b1zf7cPbyE75aZiSbdK//9hqwvwzqsZibjfe94dBs/QriNIRZOvXyfEnj0Y0CzCCd8YZBB +GTAxj7LEYJ+UK9NQSloYPIYuUEwWBAmo8A4gAUSmVggqASQsjoS3Y7pqFPi3/NvU+OorvmE uubRDM6DU3XNw4zAQB+jOpp/mwZi3njUwHxCsC6808Lc3aTzbxD3MWlG98R8MutPapkuJj6d rWxmM+UfUz4VDDrvTG5QQ92YJgvMLHkZi7OWouul2B6ZqWWxdxJyitDpJYt/BjD5hv8pNKUP ZzCFxXG9ppYd0etV1WmsOINsiJTr+NQWkMGzlh7XE7ATXA3cjDMelDYFuVvXFFCsm3xrvJbW wfCDNcmLuL9BopxNfCiOyKQ+m/8ac0L5WUMmiE/kE3cK3Zx7AOm/JxoS0DSt/RbWnY12Gphw h7CXjrADqOn19Q7w6AFgcy/aX0/OTi/jqKTmRV/tTxIcebWqBf6sgFc8DDQLfRXNvCnN5LTF JKZoVnHESt+Oq4nOCCi+Mh+g+O39f/4TH+CST0wJTOu385PzOFL/zk5PTz7EkeCyZE7L5w3w 8nU2wtrFpnb8EEEVm+iZQCq4VyNYSNegjZl87pQl8HgWuyPSsHzlst20rKpygYjYQdbZB4ct q+IfElVLFa9c5hCvKuYotwPF7hR7FOWSJLcEaNrocQyGmgKP7yMDIn6pYvKmFH4spLhCJTKX TewTZEqGWsKT2egM0XkGiAUgxDUUammNU4wT2DeDiSEKnWg0G4gN0EkvyqinQTl+IzvbaB6z fiEEGveH9zFYW+bdH+ZbZIm6ojc3CGXXc4kxGa2qw0EM9Me0MdB+FWjSv8u33dsOistfuqs+ zs99dNQtTy5dH43AZZP43smAMz3Rq+wIIEhNuC5tvg2iF6Z6qOnMXwbLwJZaCNRZEnLQWeT1 RlzmIWmTZCGQJzp8XzRZhCmLr2ERnWyq3YZND4d/3Ys6HXldR6RzaUYMBbFKuqkESuBLtYrn ED3FZXZ5FM/xBtNRiuwyJPKZsJUI553FrG2ZxaytksdXgTd6jhJ02Wd4pPGwfX29/9QVw+6W 4Ln2ZQogvEIrp00fKRpuau4JgSCFcRvefkV4dhXC1udn5MqaBZifU6CT6+H+iYY/rt5Uvnx7 +ETZ1c8MvM4Rxv6PmgzCqgJ99tyiobwnKPDTDO8HlMxZuEEcnSnj0VZ7b3Qyc3ZKymOf/aal xh/wUPjLYKPwE/BpzNxDjcH6P50TJ4rOWXTehCRl8RMHQlLGTY9QFP5VlOhIk/mHTzSxmuA7 xYFIQYq9gUza01Of/3VXa6hV9LDgEkGPN/dr6atxRDyZNoeJk9cTiip+ZGd+2IV0Ppe69jyY WaF/wIgd5XM8HcLjCEBOseb0J63wqVWiwGvZ7cKcN5CStK5I5VZn5je06MnzdRX+sI85KHbC E0EEd31Mco2/rKRvWvd3RRI/cJoWjP1tPvc62+ywez0EWUW1auxR3dA5Ccg9BL0WNxaRRc1S s5rutvjdX7vDrN5+vH8euujOLToGuXtE9JymTfgxbc2uqLUgKOGxvAUxi6vh0y9WztLd3/d3 9OtfQrkJBtpcByCdByC0JgfAWc6x6Ys3S+htR8RluQiZLuoA9DsrbyFHZuW5xzsUx/9xdi1N juM4+r6/Ik8bPREzO5acdtqHPtASbbOtV4qyreyLororZzpjq6sqKqt3ev/9AqQeIAXaE3uo hwGIpCg+ABD4aEiwmYoGsXr8num5CZ9obSSSpyce1AC5yqTlFns+NNTkNuPfQW4lxQmrlzdK QNuVB08w3HLf2ybjZzxrWP+HlF7vM27QQgQBt5NkrnuiU7PUKZI5y9N8GPah00Vok5vKW5am T5Kd8AX8Tpm18Zz0Zudw+Dl/U7cWm7Fh40MD56fzMU82BjbHcg+rSk29awPFc8ROZJPb32Wl djSvkR/CAqvbk5uNBE+c2Hmsm1qKvM97mVqAnufaTYK6qlpmTvTKQOkcMIMrmoJuqoIhuWB3 hqSrl5mQcvaPZH9AUy5iWp6pnWFNH3qgdEn9UjVQYBXkJUkeZjYnxTGH3d9OlaFhn19fP74/ fP/y8MsrjAzMk/iIORIPvREakVyWnoKRrcMZcWtgVKbUs6vCo/XfnZ/9WDQYQT9upo3vpDIS xmZ/g1Tq7I6GqIrq3Myoh8o3nraewrqtplQeZ0vfhmHoEqH2dF1WewYECqk21CFQgpnBUymy OuJ3cFaLnoY+zKZ5mTVnLojJk1SPDZyqsHC0WoBeJP1uUHvOxTuPhRsofcjboFPrxmLUTCTQ SaC9DpyYgfW7iEylCLvU5soLsjf8nKbYGe+kvLjhZCZLwKQpTHNcqAzRRoYhHdrAjcvaSfOy SY0Oyf/RY89ql8ihwML+hWEKoGxxHQ8P5dor+vms6pP2CgkOSFNvcyYbAlJkInK/BFVe2DGB PFiYwjwwgLnwT+SZGDiiNffJNra7xlII2eTWs1VRocTTOhgRfTQ7jVUQQfrXL5+/f/vyCRE7 p+R2u5Z9+PiKQG8g9UrE3kngBflYMGZTWdCsCUo1aboBlnQSy+7WSrtx38DfoMi4AwHrmgU7 jgwG3cs0p0VwNscZ0Q//97d/fr4i4gh2lwmP0iTypG/2TbExZ5Lv7/FbyM8fv34B3cPp2U4W qcE+88flQB8RFwJjTVZ7g99Ce9mpbaz//V9v33/9jR8SdNpce6uukYlfaLgI2vhEsIHRtahU SnefnmBy/Uy0LoL4Lhc+u0fGAtusaU3AmLMKjIXkAiQPfBbbKORvSlMd53zu0/KEMD/KsasH Ro6t6hJvZ7NAyh++vn3E5FLbc7MeH4potFo9tVzhSaW7lnOj0UfXm3m34oMwHeI5p24NZ0mV 40BDJ2yKt1/7XeKh9NM9zxY14CiziuqTDrkziTkUQv7S5BU9jx0oXd6jeE9H540oUpHx5+Sg CphqBlQni1g/LIIjoBCGl9EIn/21R0UiO9xAMhtnigDKExMzP8UEHTW9yPSUwcz1O4FlU7yq 8S0nST5d34dI6t9oVBuFQSO60ITewRDI0GHB8zwqORc0thCo5gGlaTSWat9WcgRwbeqL6ZHp WGEjJvRLkQzCBmiEG/by4CTJ2t+dipMZTWcqx8zQ3z36NZqR8pz6iYYyKVw+LjD6KGo7MPb0 GyNrb3Y7g4FCV83A1DFjc/fH+8NHo385bhutUO1EGCpPPRoLpQ8SnbcEdRMzP9kOPhQB+Ie8 4RbrtCHdWTpe9nKPaZZN4IaJcm/SuzEhhRbQncrdTw4hfSlErpxaTG6uY20CzfkI5d7NOIXf eUq/XLkfVH2Hhiqvg13qY2+BXQ3msIupNRDIotyTuop3QA9s0W42T1v+LGGQiWI2cmVgFyXW QhpTONPTpCGaCZZDh8FyNUdrqYhPcHrKhSDrgTIc93aPnVGcwVzcZXxqyCCEupXWKQwiVS1j d5uaCZ9zmd8UyMqSDwQaBNJ6x3u9xkbf4evTHX67ucmvBf8GSVqXOTp6k/TC14AYkzgKuxCW VO/Gv9fj93qg1u1czS0uuZyjCiLVR+Ee+vFCQQ6MIM2upfS92NVOarKlJh6hcVNmLW0GRTo5 wmmLLezE2/uvZLkcFktZ6LLWGMG+zC6LmGJLpat41XagRpMQAkI0WwaNhDnn+QsuN9ysPMLu WpKoqkbt86Hvpk0MiU9ty3muoIu2y1g/LsjeA1tGVupzjSjKtXE6TrwjbD+Z44MRVaq3m0Us +DxancXbBY1mspTYQdwduqsB3mrFe6kHmd0xCjmyBxHTpO2Cn/bHPFkvVzHLS3W03nBeYl0L Cs5IDaHGCfmxBl2n072kmFloSoCF0Dpr5aUSBavZJ3G/4luIFgk6Rz43gC0dZnBMApV7Yn/b z+8eORftevO0molvl0m7nkmrtOk222MldTvjSQkW8CNVKbxmju+ye4oWsyFpqUG/3cQF5Uuf 7WU5I0hD8/rnh/cH9fn9+7c/fjd48O+/geb5kaRvfHr7/PrwEabm21f8L709p3ON0v9HYdwk dxU9gXHBAg2EKhsONBCb9NMDqBYP//nw7fWTuXVs+qaeCKpS6YBSam9ASdSeIV9ga3Ko08Jd Vr6m5lVy/PL+3StuYiYfvn3kmhCU//J1hELV3+HtKDzHD0mp878Qd97Y9rG4odXGXVJ7iPW3 +o7okrK4PnO6uUyOJV1SzXQUWYJXX7C+q3G+ur7Eiewc6hzFThSiE4oars6+4LgvVUozr80P qxh9ev3w/grNeH1Iv/xqBqMJfPn728dX/PNf3+BzoTsfs0L+/vb5H18evnx+gAKsVUzx+FPZ tWAKGIgjp67OHlZqlwhKQKU4ZQuZGrjsYonMw+1dH0SSWyBpwIeqnYRBwgp6H82LIPSiKpOG D4BCEYNxvWdmAHTZr7+9fQXCMIr+/ssf//zH259+Jw5uO6Z9w0Hs7bdzYDoI3Vht+z31iZJW Md5OWqbrr7UUHKgw2zsDD3+jTeV+vysFvYpm4Nx4V0RPWMec+uC90gyAzYTxymQNOjhXsMhU tGqXN8eQyNOnR9bTNEgkebp+bLnx29QKT+JvPHusmuV6zbXtJ1hu6gAO8DgIlLptW6hmEz3x ugYRiaPlrb5FAbIDj8qw3jw9Rqt5h1dpEi+gx7syS+ePjdxCXudcfbme9LxIrVQO1hzDyJLt Qq7X85KaOgc9j+vZixKbOGlvftMm2ayTxSIKzZ5h5iDcY7/MzieNwYLMy5S6GlWKFzJSzHKU cn91toJJr0RaaDUxLeirtiDgP4Cu8N9/ffj+4evrXx+S9G+gFv2F7sxj33FLY3KsLbPhuk5z c3t8xMmoGalsqJd5pVHRp88ZDvwfvZuBa8WMSFYeDh6EhStgEPGN74zvs2ZQsN69L6YRtrv/ Rm6R+8QyQi9k0fWZ7wu7mA7SM7WDf2aV2Uc4jLWRbZQVnVezwaLrat7S6b467/X/w+3Xqz1e p2u84QSSiw3P3A9g4v68F0zaw25pheZfGXiPlhd6y13RxuPTw2CUsU/ph+fy2sG0bs00m9V2 rDSvSBguPLptA56aQQC6PNROgac73qsLkfQNcagqAVuYrKc9AbcRbW4M6pHYlrEvgQCM/XWM Xa7xRkZywcwgZM0WezrEBd44YjloMT8yhdTy0AcT2AvLwt2CT2xv9RsIbPn90y6PFzv2ZzQ/ b55wUPfKXKi1nnvOeY3NrqoVOjfK4CdEaBsYwv73qpNc17PRJKEhMe9TzsH4NQs97HCg1XD6 /SDh28kjg+kU0BRYaoxdYsJnYIOM4g33lMP3Os2WEFxmclE31bO/Q533+pj4Q9sSjRbmd9cZ 7zC8JrCGBEwepwAmyHAsJcG4lRva76y6W4Xt9I0N5IhmP7fk2X57qXezMoEY7snC1W5H4giJ fGPo5u0y2kbs5WxmY+qvN/6do/YfhHIOqZO+afauyh9b5r7uctZkIAv+Kiv7Rng7obfJveSr ZbKBdSUOclB97885EJfaWI5RSHYAdRNgSU6X2HpSOOSNxHQBri/hnG71vTCf6kCzJ1jBbR8E 3ONDQ34GFQW+Lky5hffaz5mYb4nPMg1OjDRZbld/+isTvsf26XHW4Gv6FG2DK65dV92iqpzb qqp8s6COWUPso+D8OtNjWNXw9ONxK6JARXgQUFitL7X2oXNG0MNU4i1P/N0lINOf4UztQuLP VZnyTgLDrpjbmxISgPOvt++/Affz38Bafvj84fvb/7xOgbJEbzT1H515hiSTFym7rMoHZNPF 7BG6Qg1vg+REXgTtZkN8LmvFJ2WZ8mBuJhFYu2EJo6iYsrjxgRJaZbEzpgxxz1/Em/N9a48w jNuVqWZ/1sqF3rQU1LyD4u6W2NPYba3nhVwzPZuxH6x3Rkr5EC23jw8/7N++vV7hz1842J29 qiVG/XIN7lkwoPWL40e8VfbwtA0GVc4VxblyRnYR7ltQV7wMaUuBZWjBIzAM/MWK87D0XC8Z oqcmgtseB2aZbxd//sk9ZjmKU8WG+lTeKf7ReLGI+fMXxD6wYRJzMxkjaYlPfRZxZCJtm4ac hRsK2oI6E/TcfKKDaemRj9QqMZQxaNgG1r29f//29ssf6EDuQ4oEubBj3qzdihxdwQ9zrt+/ pGOgIwuDM26EpqCMrsXuroys0yAELub675IcFoTYT95DVvCsehQAq14934VTyJun1ZJsmyP9 stnI9WLNsdBflhxV5WIn3JLi0RFsHa3rMpwxu0NW7kTGndYNss+J2Jy4QmqJJzQnUK659W6Q 0rlOCBrDrBTKx/Off7MoGxrClHdRDWhfsrvo5GkJL8gp2VPs5785ksczkOaIV9/QG3dTP+b+ Iou0rLtlUpLDzktZO/ddNy/VsZyjYvTPilRUjQx1xSB0kPR0XzbRkjo4qWQGNjx0S+KAZ2vY yctA3JDzcCNDF7nZA7pGh1OXh0Jy8XPJ2ZCODD3fz9NNFEUGoMUJnoUHlqHROhT0fMbp6aGx DMw64en4ZUs3Kadh5wWQiUMVf0mqAGaRc4QZ+CJnUADp3SPmd1fsNhsaEk2e2NWlSJ0htXsk 6dXww8aan5vSXtDhCCLPXC9yg++4/hMEIGUhP9CXRXYHaw4Oo1odysKZ5ZbSHa85+/mxMGeB svch4sE9v7AXbSj1eeonjE4nb1cIX+noRfso9ntjNxEXdQ4hPQwyR5lpN6umJ3UNp4+MTJqx ONAeOdplP6faBBqmNXi/ClkZnG9E5RApsyDD8CBz0L2nVY4G0PCjgZSWSm9mNedMeWGncbR4 5Ey6QZT+7PKrMyZ7Yq54hHLLLgSrfKfysSVwP1dV7Moi7TaPTgBNmm+jBTfloehVvG4D4ygN QQxPIjI/Z3T538m4cF1/lhKeKJYN//iFwD/LGS1DeOuaKV+fXo7iGoCEJu39GZWLe1L2Jtx7 UseQhjTwz+IqFbvoqU28alueVTSud1/y3hwkL3y5Bd9odQjco37YXXjDUbWhR4ARqAQ5oeIe Qy0DRuiZwAq2z6MF/53VgdMsfsolu0jkor5ImjGfX9yoXH06uDeZw+9gUJJh4tailXYfermz q+fQCFGUZDTkWfsIixvxOyPBBEm5pFlmyChocig413bWruYlrXxgAkPbVwfhFW6f7Xiv+fAM +iplMnvSsJosEM+dtfo6M5opex/CMBm6ESwH+gonvdk8xrQVSFlFUBaHdwPmBsi3vnfcq6D8 d1YPI6hl0HgYxF5qZxvA39GCheLbg0FS8MtFIRqsylnBLYmrXW+Wm3jBTgeEM6o9v4+OA3vS pWXb6RZXl0XpBOTuHRzVChHcejgZR8jQxS7vCjclDlmh6Udrpkuu6qCleM8aGBWI2dXJwr/7 qX9ss9w6Cmp88nVHWsdFpYo7+yUy5cl5Gu84DmMP9c/YK6T6lLCQjd/LWv81reI5E0s+buI5 SwqatWB/203ZLSH0XVtZdG4RFCsLfnRZFjtc6bLdKxWRUpYl+yXAysnQP0CkE/G0oPZDT+jO gqY+PCcYeuoAt9e5p+6Reur07vfoPQG3P0SNq76YAU4NXAS4CeEl9TJa5PpMQUI07qW+jUgf kP7104xMmYl6D3/uKjJaZeKODevvakpvF4Eoa6WjLaew0NJy7QxcWakkcGYFktuImv+G8hgv Ah9VlwksYvKeNaUbs0qTHm9yBKSVNFOgp4FZuccwbj3jjEcDU1LVFel4tvlcarc0y2JSfYfC WJ8/bfPZuYe5ql5yGJ6OkQmDSPIYOHhuR+/GUudQB74UZQXW6u22NPJ4plcO+b+pqGvsYEY4 bPV4141mkeeaTBTsDnVRjjoCP7v6qAJAu8gF9Q5GQ8NfW0UKvqqfCz+jY9h50zSQ4q4q1iAz tsguclYr6xT2LvAzROcGSEtJ8Fpj5SxilqGanaBrxFBA59y1RqkWN4NnoblZy4NfycDt71lq KYaakbBOA0dvQTLWxOmEyDsqPOyWDjKWYcBMTvDsxDn8N5wy8X1zlNscz4WTAwuDycOQQAKB 5dBXoEw/M9h9mlodDpixaRg2WUepB/g5HIhO3v5pgu0DmM95igVxTrXeZ9c5DehT7XaGSnxs m8WydWkwHkzIjyVSP9bmyZI5oxoGkcHw8rph8LW5jUlUIlLhVtt7UFxiCt9+9nRaoU4Zz4lN sokirwCUfdwwBayfXMm9amXayxGLsMpggPLvbOzmrr2KF7ekDKOBmmgRRYnHaBuX0BuEbusG ImjmnrSxNzzh8fQiQG6ieSHGVHAfKMydsyJzhYsWCkCA5/lweB7KYDpmOM1wauh1Fr+HUVkZ 2h/Yjf2qdSOjRcu5QtCHDqNQJdp9j+EgwyH2mVEHmINxjX9PrCqjIEdV5cBgws9up3FQc01A bioxtVf6D91A50d2XlVs3n7V3+nprTdVVTro8UjwqmwCDSwN7Dt90obFuiSTZI4HoJMi5HgW dXZM6C9VjQn50gnXMCwTNsarb8YXiZc64/84aOaz3tkzKXuUOzUIGYloEpdyElcHjB5plTwI ffYerZtsE60WHDF2iaAgPG1ojCYS4U9BYZeHZuJSG7kgFS5r20VPG86WG8SSNDGOY64I4HWS VbmoREGh7QeGdQ8SPlt4vlO3Sk/z7ZrGAA10XW/BQOIKBc6GVbVHAZjkTyu/ewfOdtWyfXnI 1vHiVi8WuAhv2Cbhqs6B5A38PNFPmyX7aI13VppA6zufQJ932rUEkSsy1eWr9ZLPwTASRfwU iGdA9k5mJ8UfIpqn6xwWijMf8IMCstJlEW82fAK3mT9JzNtTw9v9LM61P5fMW7ebeBkt+qsg Zj13ElnOujAGgWfYUa5Xqosj56jLeVWw966i1huGqjrOJr5WssbjwPmXuGTrm6MyOW7jxYKZ 3s9JRJH1rmg9/C/9NZ0957AN0qXQ4TZcHoQrkVP/ImXNzzApdzi1Yus1asudms2N3GCkE+uv xORR2oeWMkK98DaLlakyzkU0MGmQXFUrna8eQ23vdaM7rTd3r9zo+VoEjpkcIavEBMtgUxSo hG5Czzb3Hv35JXW9O5Rp1HtZFM5MMibD9S0X7QMGkX16fX9/2H378uHjLx8+f5zDAVjsRBU/ LhZkn6BUN6PU4biQi2MAyN3ayeuwzh9ybcG000+q+MTdi5PMuOWbyIjGQ1AlvONVs1vcJW8x JoI+tT//pBp97kKuUbCxoSzfZzagB3JN1Knj/8TfGDbH2/w5srmaL26dFzCRPESMPh366x/f g+loHvSl+WlBMn93afs9zKncBTi1HESA9oBRLEMb1NRTzgYEWpFcgEXcosiPfUr6+f312ycc MhzIbv9QeQb10kAfezUOHASkPHPrjSemwZqSRdf+GC3ix9syLz8+rTd+fT+VLx6SmScgLzyG 58C1UdfkO4VAJu0DJ/kyZMpOB0w9DbaaarUK7Ome0JY7ixpFmtOOr+EZlKkAEoYjE4DCIDJx tL4jk/Yw7PV6s7otmZ1OAaCXUcR3FPESZiTLO0U1iVg/RjxeERXaPEZ3PoUd+3feLd8sYz4X 2ZFZ3pGBZflpudreEUr4Y9JJoKqjmA8YHmUKeW0CAW6jDCL+46nrnep0U17FVfCe1EnqXNz9 /iUsMPxNjuSTLWFe3PkcTR53TXlOjkC5Ldk2dxsFKz56Ve50eXPqKgSZuLmWEa8P/oTljxiv IwkMDwr9P9F3LylHxqM++LeqOKZ+KUTVOGhGDBOsN9fbPIokL5WLXzaxzC2HM6TPiS8xXliy KcSkCRJ1XPfMg1RhPqLi7LdJaF8mqP8lR/YVuRfTslYi87ve3hmGNfryuyRfeck6lpG8iIpP TLV87AI/vNcTuei2bQVna1m+56a37R+/mwMd4zMd8OlxJ9TAI96pgQLGrMDr0hnGkhzmTtRU MbJJuasFI33YxyeOXFPvnUPuaE7WxDkrWPvz0jERR66xhfh7YkYZrVJ5VeaIgCuiyVM2Tmis woBGM222DP8yAJ8ds2G8oxRYZ7UqnRC2kYcgChl/Fju9XCUSWdZ8Ewzz/yi7kubGcWT9V3Sc iZh+zZ3UYQ4UF4ldpMgmqaV8UahtzZTjeamwXTNV//5lAiAJgAk63qG7rPwSO5hIAInMTUzu ySYmDKQgX59MPXMqUvhBIHe7bL87xGSh6YZSYqbxjKsskW39p+IO7abetnF+JvONO9+y6TVu 5EG170Ae/Y4s50YNMKAAF8PDKZUJtfBltubc0hKAf5MsHi194CoYUCZx/XaBCz0MUSf8VeFp LvEYibuKkykgKpXjfqTlFuVehEFOKrxYaRnntj3PxqamPYdca87u0loAB33KyaSA/OG6bnd9 e2A+ZYvf65XuKSJTQugQjjM1DvbzUkSWajPGyfB/o+U254D9lUnLEAwJLuDUnQqDy2KDmsKs 5DamzN44Jl4p8HRqYZ2DlxQ6GXpB1UcEudkQeXA1XKYftC7DD1t4ohtrPdAu+w42N0TVR4ZS sgYfiVl1sK0vNoHkVcTOuccDDmr0J4dgxEab3+N+u75d7zHu8+wURnlddpQ6D/7p6pK5yd13 ZTw4mxs5BwbpeO40px17iXzZwPKkhAU67IvzOro0/VflqIl7IGBk4+SKS/lpLnU+Ud/VlWz8 cdl2yokFez5tDtLK4U658WKOVpUuK5lHdHyHgQ6hpfvd7FjJgRLh9xdO4M5ebm+P16f50zrR sixuy6+J7DVfAJHjWyQRCgB9Nol7NDFrtNGS+TTntDKUo5pBnUnKTLMhViqh+QiSy6Uf90oc +5ZZtnX/9Ci0PezR7/zIQhaSnfsMNCDSJYHEFndNBv10FIZ0ZFapSQSNFeqdKDqbklf1mfSS w1nqXLai4n5fX19+w5TAzaYGexE6997E02PFy6LPiNIHaBgocyVGzrHjbY1DXV0lonEW/KF+ YoLaFXlxXKhJlyT7czPLjJONZXWJHRQd2oOQ9RzhhYR8l6FXVywxf/Tx9qDdGJOMqj3mHMPT Dx4MQZ/ZMtMmPqQtXtnbtu9Y1gKnqUOENUHT8Ro9zxvWUoqUANvGmeUItGl2TL5/BJp35aVs yNZPkLG2CRosMkf4xbZIQHy2xFDMmah5PXl2UMWqVmKV9G2p7TsFhAetfD+t14A508N0IPZ1 dUhwMm9E6rarbBa+v6ZR4ubtjoMjfWnd5B6mh76bzsKbqgBlbp+WMjejpvhflqjeLRFASYOR OhXRzBH0tXthMRlo/Zvly0z4+BY0px2OMD75lTknwGevkU4YDDWttxq5QWv4Os+Vim9mJUtd dgIdcZ/WirAZiSxACShtJh/mE6PpHnLimMfXyvICZD/1IeE5C5qKyRMBVFniaftQTKO+GsPf 7MU8xRvvt8kuww0ktm7qqj6B/xpJ1ZD6oVEVHuQsqFskgaA8FDe+z7NkDCyAsqeNFGW2/eFY 97L6giCZ8ScZJu1Gb8GxR8clbX2mbLWGSnS96941shNoHVFPmGCqqQEFQJaWXzWJMNCYK32i 8BGvc1lnn2vf/L7FSYjrMHVBQu8xrENrUO62BdlNCLOzWuhKSbAhGW2hYmWGMeoOmOlbIUC5 XS23DP3x9PH4/en2E6qOtU2+PX4nqwwLy4ZvnVgM5Gy/VazARLYmc9kJ5mXP0pV94rkWfeUx 8DRJvPY9+txE5fm5UIWm2KOsl8STALjRsJJjmkkpFvKsynPSlKk8IxY7Vk4vQtDg9kIdWe30 l41Bua03cvS5gQjNHu/4oLBxC4kusjVn202ygpyB/g3dYC+Fn+KZF7bv+nqJQAxctQuFT1uN WKWhH8xo6ChAy7LCqx9HJRaRZeuTpaD9eiKEXmk9fQj37OySNoNiOHvwBBPzYMi1K2DDv/bV NgAxUM9+BHUdkFfCAGpG/oIEQm52m878P5Oj0SVstzvJll/vH7fn1V8YgIbzr/72DMP69Gt1 e/7r9vBwe1j9Lrh+g80H+ln+u5plgsJM1Zf4zO+K7Z4FcFIfVWqg9qoQ0QURULMbOTUzmLqE JyrenRUGPdOyN4SOy36C9H0BxRB4fucT/Ppw/f5hmthpUeP9xkE+SWT0Ug7RxSo4xp2ZEy8l Hr2pXdfWm7rPD3d3l5prR0r1+xifzxxprYUxFPuvhti6fM406JKMe/1kLa8/vnEZI5otzQa1 yXnHH6wMZ0kmQaGMgRK1kVFUr0QjSURImItQtOIxvn+dWFCMfcJiCsAkL7NSOpc+uO4MRjBd Qz4t3cmhL3fM5ey0EPPj2k6ONDi6+Wfkp0eMrSC/tMAscHkmNw1qRM2mmz8LnYxx+gY5Zh8C 0kSxlPswzDQpC3wx+oVpmXQ9Bh529iUbbI8IFY5pQnUhMFbt3xiB6/rx+jZfmPoGKv56/79E zEtoq+1HEeRes/s//smzUL8r/hZkhfY8+6w/1S17EcBU6K6PqwadrX28rjC+AHwpIBUeHjG8 AIgKVtr7/8ihJeeVGOsg9IbplJg/eBuACwtmLwdbLfbKAyaJH3WG/ADJ1DM8zAn+oovgwNjX /IswqyZDrdBHjzxEglwljeN2Fm0+MjChR0x6dzswnG3fUoO7DEhf5bTZwcDRfoksfyHvOsnK ulc7h9UcY/JJ17QDPem8sJQ1FQWIJADnpvJ6SBAuedz1GFIJpDrG+PXt8TSkzrU1kmnCavCu IZei/RNfmswHy7Awsqy4C2s1++lFJVfVb8+vb79Wz9fv32FZZ5nNxDxLh2EDBh+j0/1FM16s kMPC8SptqNMPrveLmLPPCjU9xY1yZcuoeY//WDZl+Cy3jVj5OdyKyNhqtrvyRF9FMbTaREEX UvoX7+K4iv3UgXlRbw5aeV0hu6kYRiSRL3cZkSsf+jQA3TVPdor2bx6rUXlj1NvP7yC45mMo DO3mI8jphrhYgmXf6N15ugzbE6XD0GKLNE6fYEdvraCqgQD5nRruvVydX1AFv1qBJskj3zxi fVMkTmRbutai9Rz/OvL0kx5ti7ta9SzF6Js0tHyHFoR8hsdryxA3a8Jp+0GOl/uF1H/E+7tL 31MinOFl4649d1brsolgY7VQKheTplzbxO/9aJ4tYaGmDkgX+FYUzGYSAxyDNeLEsTYLBIE7 86z/rM4RfTDA8FMVuba21Axf4XxOjGFnFufKpldeYYm5WlxYuF47mCMZhxxv1qNtmriOoX5E Pbh9Mmj/s/qp2U7bADJnIgd9foAidaAOIU/2sODYv/33UWwNqitsIdVqnGz04t9jtKW4b2t6 sZ+Y0s7xyNc+KkskHQHIiH2SHxCMwLhKiHYTVZab0j1dlYBRkBHfu+ArOLUATu/wPndOxppa vlJTCYiMAL72SEWgYYrDdk2FBQbAcemsIlY9eRymNC59hKbyUKYzKoehmWFkmQDbVKUosyi7 GJXFDuV1QB3RUefDW4ZLfJSVakZiISxIoqbY6Qj+2Wt3yDJP2SfO2rA8yHwim0/5uNpB6cUz JuJOpc1YQBQ1/pnglrHJYgJNGOhkvMDu0DTlV5o6d9OloCbPeA2+yRfOkabpwMT4BT8OWixx nKeTLxgwUjWjkl2LO210hoB6kxXQE38T9yBLvoI630drz6cWzYEFp3GgnPvJSETJN4XBNial LKgGhm4jnZkNLeLEySCXeYJi5MVGbv50QkMIqqE6TN+R85YQ2/A2Y2AB7dAOLW+pIwSL7BZR RpSYX0NjQVGE4XPdOVJ0DeYmV3eAILtoTdoADhyoRTmhPCYDYnzNMWXO+nsp894NfJvKHNvp +WG4WECa9Sx8OOcOfFoFkrIMw2BNP9EYmGDsPdunxl7hkN2FyYDjh/P+RyB0far/AQJlkpoK 4xyuNq5H9r9QKMOFebSND9uMy1/PpqZr2/uW4dHKUEzbwwdPnUIMDIeksy3LITqEbxvk++pK vg1lP0FNUyx0OVEciWoO97iFEI/0QNiMiQi/aejZipKpIJRd4sRQ2ZZj02kRorpB5VD0fhWi n/0oPAa1Q+JZO6TgmDj68GwrtnET4JkBQ5sBCmi7VYkjNOUqRxMegS4JA0MXM3O0pdL6c2PP s0y7wCGqgAGbHTlCykBnshtqmFCVWNipDiyF/+USV7SH1IEnD21QL/OFxiBH5ORbar7koe+G PhmtSHBUie2GkctaMWth3oPif+jjPuuo3Lelb0cdGZ9p4nCsrpr36RZW9pjqNgCW5gk/8Ir3 VHV2xS6w3eWo3cWmig1WLBJLkxmCqwwsfUSvJwPDH4m31ApQoVrbUb3PTYGe91m8pS9wRh4m h5dkCONYE5MZ7/5t3yZLBsixP8nVcxyHGjcGecvznfEES1KHc5C1w5U5sIKl6jEWez2fxwwI IlO2a2rlkxgC8vNngLuedzED9AcAEuQv9QDjWIdkca4dri0CSRqXLzYa0CeB75GNzva5Y2+q xLhtGAekClxyrlQhpetJsE/Okipc6muAyUEqq2j5s8Yns58xLE7sKgrpgkmVSoKd+XgA1SU+ vAp2rq5nADxignHAnwNNEoVuQMwEBDxVxx6gfZ/wg5ei68ngWiNj0sOn4pJ5ABSGS/0IHLAx I/oEgbXlEUDDXNNRbckjfy11S1PNDEoFZzW7qyZUImex4iD0L0meN+Q6V7Su7xjeSUs8kRVQ BysTR9P5nkVqLEVXBhEsxItzzYFdWUBKdGcdRsT84QDaWh3KuJffX0ksbmQTU0xIW1p6xGfH CslAUqqwinxDctfzFpVP3EwG6oXMONjnDGT8sjSA/YwHe96lFRhYfDcICel9SNK14ndTBhwK uCuhQuRa3pwqVFYW6tHteqr7geyQqyAALmVwJ+EJIUpmdlWjllplduiSEiMD1dAjd/QShwNb jXmPABCcHItYktD5lxdWVBUFsnZMqTbuOiSwZOcH7M1CVakPfCTcMSV0A6Imfd+FtIrUVVWw qIKAGm07URrZ5DoWw1bCspeVJOAJI2dxcwm9G1EaSbGPHYuY0kinRCzQXYeeZ30S0i8rR4Zd lRiOp0aWqtHihdAsS1OMMUSEalM1HjW/kE5vCo9FHEQB/YZIcPS2YxN5Hnt0gTannyI3DN0t VRhCER3JVeJY2ynV9wxyPk3szgeU0UnFiyMojAwmLBJjCYK7JxdCDgZ7MnTFxAOf2y431AKw bLe0neVnz4O9nWaeOf9a0KDbfCLNNJ6Y9C02vJz4pVO0108jeV+f4q/1QfUANoD8CQmPkM7D clPjN7KjwxRmNIX5WTN4MFDhHsCuH/ffHl7/vWrebh+Pz7fXHx+r7St0yMurfGo1JsaQ3jzn y7Y+Eg1RGaArlUcEJrZ9TYZJNrE3sRJWiWIbIvxO7HqLTc6TujrvibcvClkqSbkH4EeJIxvR JHGuM8+fH+nIgHY7bs5z2nHNsz2lMVQ7Vaz7xA3MQo7icRpVmbuiaPEmj0o9MjGOrlkqQhgh Ed9KeiKIuHXFkIJUlboend7Yy1WKy6IKYYHEziCqUwSuZWXdRvTVQO2TmqCM3u4b9R0KDMQl dmyRYrBQ+O2v6/vtYZp4yfXtQZpv+Ow+oQau58E9BkOCT7IBDimbaT1BX7Z11xUb5VWf7KsP WTpm8aumSgp0uEinHlCV2KVFvZBmgFUqf3A1Rsmjk6pMJKbe/m6SKpbzmr5RAGan9eyNx79+ vNyjPencufowvHmqyW+kDJeNU4cyaueG6nn1QHUMV8wwhblRmEPtXljquHei0KLqgK+1LnmZ nbUXbRO4KxPSpwxyMM9C1vmsV3eTrv3Qrk600zqW97lxrLMhdigy6EaeE034/lCyYxae5Cnh iMqGoSMx8vWqM/Ka1iEnfGEoUB671A3biPqOWhMh2lVnSAN9VkGkBnT5I0wprwJU3FAzmvLc gXVzYrtnWTWXiKrjFQR2RQDKLWudctHV4xOJrkiouiAIGaFF4uRjoQFaIjnVRUInE7A0ZiyX VLUWSBahL1kFGRpaHkUspLyehpPpvc+IBxY1nHxC8mtcPVt+F2vwrTwxkGeuExwF+vTnN7zq LGHUSDUQFPRobdE3AiPumJvO8PUn6dfUlpChfaBsjBltUDdUsvKeRSkCdCXqTRZCoznAZJYi KOLqS6cKKT/mf0g2tmdZpmDmrHhuuKfWll8pa7TRllImfomsSB+Udu/3AXlJi2iXJYSM7gov DM7DIywlu67yDaHVGfrlawTTk4yVxxJ3ctTbzdm3xiVi0n42rk30kloO7G9NfShsqJUG9cUl rlzXP1/6LlGu+BCdm7tyahQavI6KLMvqYISbuKxi8kl00wW25StOuriJK2mnyqFQmxKjTaxW Z04nz+pH2LFnwgPbAq0l1xAJ9wOfqIZjz+Yco0fkq8QRXst35xJVWxkGKrUEAwYC1nDF359K z3IX5hEwBJa3+DmeStsJXeIDKSvX1z9JYcasEZkhsdqk4zmar7Flnez28ZZ8osW0l9GSfE6c r+NMZVANg1l7Kp+OXDuA+pjA9muty1RGi2Y0z5qndXVRJrZz2mv0AfEts+vHoWDqZoGJuXpX 4abWjs66+BSIajnDpQjbjGmyDx8RTaRhezhKKfmptUkNHxNLNw7ThnMgGsMvThw8cM+xLvt4 KxlQTgzoRuLA/Zl0hyozFIS+xpgzw5FvsVRQQbbw9cqfmwJWkSFa3cSFO43I8FRA5TIYP0pM qe/K801C9vBPQ3WL2H6QicQ3U6a1Tbdw4IC5gdvmz9rAdk+LLaD2LBI6fwtC8agTW5pEM8tJ DftsEIDJMVwkaUy0oJVma7z3XZ80bZuYhPX8jM6VerodHDv6LrWwTWxFV65d2URegQIntGMK w+U/tKk6McSh00ShYxhQtlQud8KwmlJl8nXEkDWAQUjFEZp4pB0CiflRQLWI3TV6a0OqKAgs emyYUk5qfAqPtrnQsbVLN5hvNcg1S2ISG0XVaYCKh5FrgiLZeEGGGhuUKcdQMdhtfPLZI4v8 VEJF5GV1QiSbY6LQJj/cGQKYS0zHKLJMo8VA0mRc45ENbCToVFG1HnYjRIphTzIH+K6GSNI5 VRPLl1oq1Nnkt9r5VRQGZKd25dZnMSSpZEIHIHurg92MRd6VTTx4g27DQFMFS7o+iTmK9YqK wcwje2fcEBgx+jtjmO0aVgrK9NnMtrxYSeq9KYu1TR8nSYqN4X5u4tD1SwXx5NFOZptcpOzr vsgL2eMVUptC2jq2iS5TkkulRgoqC4Or4jYRXtNa2iaH4eiHjNoksig/0qH9dPL7fHt4vK7u X9+ImCc8VRJXeGRJnPgjyp2WX/qjxDBp2YwFXeL1oFNOPMYatjG+QDTm1KXtp1lgpxMZiLG4 ZG3LYjb9QW8LeBb1vm8xxAWl1h6LNGPxYqee4KSjVyqynVPj9GjUyzkH18mrYs+iLe23mey+ FvLEcDIOPnDiZYpn9DhqxP0tbwAL5jXvJ40LH4MucUHh49P2IcoQ1QpgG6soYhFpXTO1gPnI KxUfeZyl212O2UHpP8iXPYwyF80GVauh+vmpNyOiKPiMEJQ/OwlRvz/uBZd/GbeHVVUlv+Nd zuCXR7oi4XM3TuOmV6rB6X0W+6EiuflUL7xQdT7BA7EhlbqqYx6FWBLFd9+QlU06Cx/hYBYc sGrN4QbTbtPqzQD9qWB/zRqyi9svRKWQTGlbLHhelu0lIcoiSsZtVtX7elZP2HmQ2tHUuapR nSg+jsPQCihnW0PKHPRIR28NP6gZvrb+9vP6vipe3j/efjwznzSIRz9XeSW+wdXfun7FLin/ Ln+NU2YR/Xj6/5fzOLF5SJAxnJz2LW0OuaOtTxNdSKkZHT7PutE/XIakFZeIxVaVPteX+8en p+vbr8lt18ePF/j3H9DGl/dX/OPRuYdf3x//sfrX2+vLB7T6/e/6+tIdNml7ZL7juqzMkvkS 0/exHBKEf6tFK47wuD3Lj4fH19XD7f71gdXg+9vr/e0dK8F86jw//pScGrVpN7IOtOPjw+3V QMUcrkoBKn57UanJ9fn2dhW9ILkyZ2AJVElyM1r+dH3/pjPyvB+foSn/ueHkWKHnsxFmLf6d M92/Ahc0F4+OFCZYMFdsUFRy9fh+f4Oxe7m9og+929N3iUPp+/6wlzUaiYiezRr5rlrG+jSO HPmZxAxUTqBV0AbUNqLrKAoNIJMCppQMNKSsesc6Gyp0ThzLiUyYr4aSVzDPiFWJ53WRNQmY 19end/TvBFPg9vT6ffVy++/0xQyjtn27fv/2eP8+V9TireSUGn5cCk/eCCBl11zu5Bigx22M 3jClr4oTUMKjI8Hun3YwQKnsVgB+gLLSFLA8FPK6hfS0gc/4TDnuVNnY20H42HNc3ylLIWD6 UnXCraQs1hHJN+jrOKsO3Nu/sRh0dH+BXk+X426KioNCYKhJ32vNP7ZxNdVNArag46DxhcB+ 6e0xYZiu26GGRKFdsstGR3l4oC3kzQqEC/3tYiruQTW0ZK8LA70rSjvw5nQWwxw+sXV01jtd gXUDVcmtjaluXGa1lSTlxnT/R9m1NLmNI+m/UqeNncPE8iGKqtnwASIpCRZJ0AQpUb4wqm11 t2PLLkfZHTP+94sESAqPhGrm0F1Wfok3mMjEI1Mn61USy2fBarsmiir3oJsOv54IbKTKLX+Y 88XHh/9Wq0X20syrxN/Ej2+/f/njr9cn2H83KvdvJdCrXbP+VJBer/dEmgNGZN1wx46ZmZVj ggQlz5f83sVuIYqh8hwmajWUjgqk80fPzD/tC3vqi2lsD0ifl/5R8H7f1Z7sjZjBQMxo2/Z8 /CA+bhNoM9LC7bhDrofKWJDylDvV+jBg9j4gW5YduNUu5cdczBiT3pBahhWWMyL/8uP789Ov h0YsnM+G2bWwQkzpEcwQIZpQr3M3zqnODn1aVxFkV9CLMBDH3SVIg2iV02hN4iC3G66YKYRM OMIfsWKGPtk28dY1K8FJcJA+fswIVvb7nI5lJ8qtiiAJzGsoN64jrfc55cImu4zHPHhMc9Qn yi0BK2lVDGOZ5fDPuh9ozbDiWUs5+BI4jKyD46JHtJKM5/BfGIRdlGzSMYk7tIvF/wln4FP+ dBrCYBfEq9qeioqzJbzZFm17EQueFgUKb31LLjntxZSs1pvIc6SlcbPsKFv0/hAkqSj/EbXE 9AT1VpinWzEIeYzWlpOK92KC8HUervM3WIr4QKI3WNbx+2AI4je4NoTgZRX0yMZVfD7twj3K IBSFZiw/iAFrQz4E4R0mHqziLiwLDxPtRPdQIVY7YfChLF3bl5ex7uIkeUzH84dhrwKmTXLe +rgNedHSfF+Yi7LKc0EM+UDniLwP29cvn/+4Wiuz2jITdSX1kCofXcb0yPIaHsdjflylrtJX W6mt5SSzk4JMGSFmaI7uXUm5C0vQgTbwHidvBjjn2BfjdpMEp3jcne0cYc1vujpeeeLQqr6A NXlsuLCkMVtfKjEUBolu1pEjOgT5MYiw7Y4Zhfedxoh2B1qDw6tsHYsmQ1BiC2f8QLdE3aFI bVXHQlO7Qp341nfNynOIOXHwep2IQfJ4dZtVJpKf0gQ915FDiS1oE3Ekh63Qpo2tFh2mEV9g U5edGCyF1pno7izViym6mpzoyc58It95ACJneJs1+95Oe6Cciv9tK3yDW/VrfRF//Sq91J/u rygt+O6VlsH4oaftkc+q8+5V2OUPv/31++9CK83tAGO7rVDPIZiy9qELmtzVv+gkvVmzYSHN DKRaIoNcvx0GhYj/drQsW9jpsIGMNReRHXEACsEnt2JJNxB+4XheAKB5AYDntWNtQfe1kB7C TjXCrgtwy7rDhKBjAyzij8txw0V5XVncsrdawRpuVEfot2LZLfJR378FZiH5wO+tzruosQYV HIFN9hQ3sgDNDJrfqRBv7tz4c3Yojmyww3hIJRVvZVMZB2KKIsZox0ZwQs3qukCjo0K2F6Fo RJZqpdNhKuFJlzjR5liH+XwLWs9PBQvAM2rpiVjsQPJccp9Rx4PaDKD2hc5FU/S9Moye9Mdo 1UURxwpC0NZC07qXdKwg+OeHvrAqNqH4S5kb7m+xY5QuRO9tsxvHmz0y8fmOjAQH6S6hfvNs IWnfgdlkAeNZ8dhqB4/9k4yTk3FpbCHZ1+9uAMmyArcNgQeN8AMTtGBCQlFTbB4vLTMIcb4b HIIq0aqMBLzjeWIsZyw0sjp1Qk+x+6YTup4vABV0cotFJJQCIDbFuTARYZVBaGIZI2KNPRGj CQaY9bxjnokP16F7q1eEcW78BocM+6FbJY6cma7+eb+LAjRsVuGbaMCwFZ2GOuWDqgmrLA5S e7pVqX1wPykp6Fot5fD26dP/PX/548+fD//1IMxGO47osp6DSZmVhPPpWPzWC4C4LruXj8dM 9cvFby7NHWi6x4tk2pyNx0k3wPXM7KatNo+rcDyXRY5lbV9cuCEkbzYb29WjAaY+T4hL2dMF orsVdK5HGj2yjgOCt12CuNc1janZJAnuN+rGdNfV3lLN+WGaO6SWo3at9FMSBWmJPdG9MW3z dRik6Ai02ZDVNT4C011g9AN4Y5pru/Yc/IhZR4C47iNtjUnhyV6+/Xh5FirOZA1Mp43OZwSG ZuZEyxVauFik5LtgnsFVCdMfMI4Lif+xeLdevcEFdaa8gwAc6sX3uL0s2503G7yvqotbM4Ms /pZ9VfN3mwDHW3bm76Jlh3UnBKxYd3dC89RyvgksF54cXEJkxYq06CqLJGqZsk/0+99vjId2 QYjZIWamHJzjobkKnPW1Jji49WOK02eQmqxyCGOhv3WbibTIHpONSc8rUtR7WLKcfA7nvGhM Ei8+OCIa6C05V0JTNYnvjXk2U6YA7OqCzNJTgDLO4aAIGZi5AVaUQln/S03gpaO8k8NNDI7H xIKcyzCjRlHThv7IynwkDRpEGIpsGQQxMjM9wesxXkjQj9G6s9ruKN4LcU52p+FD29dLDnqB yi25SRSD1MOb9RYZO/ikXDKMnQrZiWO+FGK0TKhq+lUQzqFi9bFtyng0bEGdClmayGlwuUn2 mI6wXWZspclu9N46Uh1IzQ4iebjZPNqZiM+cDtjacQOlnWp9JaTfQMQIhxYhtNimnSOTsO02 +u3OhTQy0b45FpEGZiQIg7XdkqyinsjY0OfDRShFyFhIupMVX0Ub1MuVAtemyXqjCsvgPObc 159ZN+ysaZWTtiR2r+2lPx+TVpKLy6hSr5DUK7uCKj3qpgymMLy0slJUFI9hA1iRHViMOoMR IMSm3zOzUopGUWr+HucdcGan74uah7FHT7zhvvHcVZsgtLOUxPlKHDh38QnogxhtawERFOtr EStHmNrDJCPmbobALnqmo95VBX5k7T6MQusbKllJLMqwXq1X+o6LGtTBEVN1FSXO59RkwwE/ u5ZLH206ocZ5qthWhXnteiI+4lvRC+px8C9FIyUb3HbTUExSSaORcWvinQbwZmqQLtVOhVlU YeXyv8sjdc31jBxbYg82UQPmkpUi8csmt4UiuIhSEbYFluqGqfABoc3QgHMReaHEXhgBlesH hMUou+LoVlXB6tTHh3K6r0hnegwyOU7onp3JMx0meHLw7ltabFMo8zsZiRXC5yrQYYz9s05j lLej3qwap3GQrNw+nC1yB5hCOcjwG5MFEdw05mUWuqW1BZIZjLBYLxc7xmgMHu1S6jbMqpkg LLHDTF35l83WsYaJaXNxERm3zRoiSa9Aq/HrHOAQBa1RRY8tkzpox+bvlL9k09XK319eH3av 1+uPT0/CSsma/nbb8eXr15dvGuvLd7gS8wNJ8g/ze+dSFS6FXd4i9QGEE7SNMlEvJrtPYi3p ua1nzkCT60Hfdai4U6iwCnbUt1gBE60GWbNeLaPTRLvbjcaqFYG77XUUwstl7taPVnt3Jgii TEhrNIHEwFsX0iaA4fS2LOHkrMdOJnRW2WvechR6ryRh1sPZM5NCvRUCEc6w75RZdUehq2Yn nrslcraDr6MUJkbp9gmgVlhfHZLu7/zlAgtrVGBLTw41m0TSnQcUOj/vxNfejWQLgVOL7Ohx rKul8B0BaDzLZ9pVXz69vlyfr59+vr58g00AQRKSV/BNN5f1KKrzrPz3U7k1nNykibl1tyET mzyohiPGSoa1uNOqKcH8fboZdrtmT+xy7ckGJ+/w72bROORooR4PF3k6W4J3MiY56ce+oyU6 LwANU/SdgsmiX8Q1kfUdxHRcpKNpEDgKocSOqxCPp3FjWCUbJNPjKkkcI2dC1qHHJ7jGgrvp XxiSeOOoxBOSJLiPlIWlzJJ1hPo2nTi2eTQd39gA7DMyl57xOCldlfoG3StNcax8uSY+AG0/ mMbl3b6THAkySyYAnyQKjHzA2gOksa+SHlcMOkuKnewaDJ5WpHcaMQzIbJ0A26WLBsfe+BUa z+rehysZHrGyk7i092AkAM68o8EF8srWVIGqruxgG1GAFjwNY9/uwsQQrRw7WyGbOMRe+OsM EdKriu7r1H1Xre9KOrhTOrbHOIiR2VWR4XETbDZYzhKLk9RnDiw8SYBKKImtUZfvOsdjlHrq FaeI7FC5IuNc8WrzGK7Hc5bPL12xWgntPlx7d71mjnSDTLEJ8I2EhB99J9w6l/LBggP4JyfA OMBaPQH+VKKxxI/caUsSRv/yXqSY+cS8inFf3jNDuQbf0k4F2i5Zh6joBcQX3WnWuPZdCXef 7yll8ytLhy7se2czS0fgvbl6C+4wwH1wYdc1pXpfjnC0u0nFmiWIzYGbO5xXETg4QYF1gKwX E4CPuwBXyRr5rITaH2OiEOgJMrs43K8kiP3TER4lCbpSCwhcFdwdQOBJ7Ti2GA/qh1TjEPoN Knu6nKSr8PFe4h153KTOQYGEylMcBYRmUfzGx7xwxuGAdOsNdjZzJcxjEkWpJxTSwqRW1Xu1 ABZ7OwYAIQofY0zzOVebJHS2ZGfkrlInGdA+BwT1QKIxpCG6NgJyV4wAQ+xNiscV0RjwFRkQ n4t/neWN7khTVI4Bggbi1Bg2ATZqko5/2eAqLUBWRUnH83rElg1JRz9fQNJ7Go5kQNQUoG+Q ufZRWp2P68beiZ5X8zRB1lrwpINp15KOlF6TfpOskJbW2BneAmB1UgDSmV1DIP4aifQtJdOe tfpTrRiZE1hb41HLxb4lzcFhnNikRQyxgeZNe5q790MEUR9O8fMW8bVri3rfHdA6CMaWnFGo P1C83pD5tG+q42oL5Pv105enZ1lJx3s1JCQreGxj15VkWS/f9XgLJFnbY1JQYo3xUmsh0dYp h6M77xLqYV/ZzGVblEdaOx1bdKwZd1iUBwnT/baoBW7mlR3g/ZJNo+KXTWQtJ7S1if2eWLSK ZKQsrdRNy3J6LC7cSi939i2a8l9gN09MiD2r4aGXp4FFxZ3WFSWpbUqhPIEbNGaXVnwUlfUU tC+qLW2dib3feZ4mAHhgcPrjy7Bbb2JnUogK3J97xwu+SAPWZ/CICFeTAT+TskMjSwB4osVZ PoBzmnhpnUfVGkwhdIGdhna+AXtPtq019t2Z1gfiTO1jUXMqhIW35DKbo2brxMIZo7Ko2QmP eixh0WcgBzylyHvHFeu508hKdGfrrV1FLruS8INZvbZQU9r6emjWMrj0ZpEZ7IkX1ldV9WVH 5SQx6XVH7RrWXUvxW+2AstY/OxtSw3uekrXaPrtGHHdG1BmZpKhFN9XYgYGChRl8qQdLRAih U2Y5SoSHNb8wun6pHYEhPxwoco4jGW0tQMgQ+Xwwc2SSvNjnE/8tXInOrQWgZVlGrLEVYtU4 GVY0+X7SIiqhfFupxW9L4BvVkwF5S1r7RpZ3BansNgliUXKxiqKuwiRHXzdl73RGW1H/ugzP YglHD3FllhVpu/fsMuU7t0+jqlmmiwp6YpbwYA0vCmsCwVvAfWXT2p5300U23TG2Rr/Xrz0o J2PD8Y1uyRHtPhatX9CcSYZe05cYpRXrrHkzUPFFmSQowB6HmXav9h8vudBavMJKxXgaD/3W mRkKUW8Mpl8+raWcYjrOh0mI/jWHb8E1R3DrhGiPjUf5m9gdvyJT+XYxi7MMs+wlOzgicvRM zY+FkWy5MKAXoNWLHTLqe+Cm+WIziXZgPaCRNjuMB8LHgy7WBGKyGbcPZbq6FtI4K9QNOeUG cPHWZDj7gX6aDuj17pD+vqa4UdMFbGTgJZd9OdbIg3XYkeWEjOeDkIMl5Z2dDIQ1PLDZy3D1 fOvxjCGbCn6ieiH4arjqWpLLu0iHK/NtFpDOsre3xPhgbnPz5cdPuH398/Xl+Rkem9jGg0y9 TocgmEbFyHyAoRd0T22LCTaHS1JbiGkmPsKxc7pD4l0Hoymdv9zLXM0FN/mOY/cU9Dohj2Dk QA19FAaHxq025U0YrgesG3ZieOHWgr8n2K0nzBmz1Aa9XmqyzBU2qtWjfdyHcSSpRuN4uQlD rBoLIFrJPPVoN2S9BucBTmGQzggsNROlA0N5p+wWzWoOv5Y9P/34gR1Jy2meYauH/PhbeXvC rMA5r+xp31WulVyLZecfD7K9HWshHPrn63fwMfUAN3gyTh9+++vnw7Y8ghAZef7w9enXfM/n 6fnHy8Nv14dv1+vn6+f/FZlejZwO1+fv8n7LV3Am+uXb7y/mNzTxWeOhiPY9dB263atbmjeR pCxocJPMyJx0ZEew61k6105oMFYIKR2mPI+8rhJnJvFv0vly4HneBtjesM2UJL4s3vdVww/M JxtnNlKSPie+TFhdOGYnwnYkbUXw0ZodEIp+zbY4S1GL3tiuI317X36WZNlPgk+Bfn3648u3 PwyvULo0zzNfbAAJgymF2zUCpo3lBVHRTpi4uNFHWHv4uw0C1kJpEiZCaEIyrJvZ1ZCgR9/R KhCZ7ZWUGHmbYWQVOE4F1Xt++ik+sq8P++e/rg/l06/r6+LVT8qWiogP8PNVc+QnhQZlYtzL i5l7fs5ie5YAbexL9H7Ugk81chPuSb4v8NtQC08OASZaZrpHQhqnVuLZ+aopTGRG6oKXUzdi RhufAPwaqlzcD1QonQV+HX9e91LT/8kygaFq7oajnOmcp5E1+8HqMh/33qjz8zC/OFNsyA6o y2Q7kdIgQtuMWJEBdbg9xiF6YUBjmvYnfyFQdojNYw8Nk/rfoSBe+aXY4BhdveQuXLV5LqYR 6saANnCWTtUGTVlUTWEvNQrZdTkVPec4n53gE8XNIY2FNuSDJzV9I2khPhzbaTUCC6v4fj67 TRiZd5lMMInx8099hskH52+19Ix2Pu17lA47ww2pxya31xQDx7GSU3TAjmwLboV05ycaWmWd MNPjCAdh7wZHGE9T00uRjYYJ3Jq9Y6RozJuVN6uhfzuLmpwqT7c0ZRTrh3IaxDq63iT4/P+Q kd71OD1hQjSDXfqGcGmyZjMkaO6c7HySBSDRb8KE99kIi/Aq2pacaSsEAOd4MZdqy0pPx3b4 NpUhIrZFCy9H71dkEKKSVWgPn8+eUVH3hnGoqqnQvbzJMtd2nSsCezFj9cZcOVN+2DLbpfbc Y7wPdX+0+qh3kWfI+iZPN7sgRQPl6BJbKjSaXmduOqDrY1HRdWTWR5Citd0FJO+7/p7MOvEC 3/eWNhtlyR0Nsiz2rPOGOZccmX8/al5pskuarfG9QsUm3WV5upDm84GDbk/DUiTPtsx9Hjhd nBwsOkNGufhz2mM7sLIhlinctaTOihPdtnZEMVkrdiat6Dx/x3h898pxPPCiU7bvjg5d31qt oxw29E1nc0C/CE5ss13m+VH2y+AsbbCFIv5GSThsvZU9cJrBP+IkwK5V6CyrtX6jQfYcrY/w wlO6kXaUfXB3zLh1mGjO4K5Cdcfmz18/vnx6elZqPP6VNAdNZ69ZI4lDVkjXbBqfDJR+2uqb 67PqGk8PMLWdUk/JRoZSk7fbqqjetwk2C3gnK5xNQpMDO4TQuKBNcDR8Nvf5JnQ2N+u+GpWX BS74bj18ff3y/c/rq2jpbYvPNjLnvSvLYjOr3NqwLmOmfSGz65uBRKkbcOF0JyMAY3vHqm6c wKkzXeQk98R82UGtLPVnK5L0+eI3f7G4UCsLmB0ji1R5ksRrlYlRJbG2RVHqi/Yg0Y1lEO3Z 0dIXi30U+KadehziM0ylaw+142dOdnQSWN+w/Cc6F7tLU2hWufw5dpn+Cnmh6X2liG0XpmF4 sMk7kEX6BUtF7jND0xW/xizbWxT58s+uj4yCJN12L5O/+/X9+vdMhfn5/nz91/X1f/Kr9uuB //PLz09/uiczKssKHALTWFY0iSO7V//T3O1qkeef19dvTz+vD9XLZyTivKoEeJQvu8o4ZVWI cmOnoVjtPIUYHy94ZOFn2ukhJpRqkMsjCWtbuWzodCnqNoHO2N5iVWkX6ZpzCy4uCkVcUk5k Za3jeYxb6aLhq0OaT2CWnSqISzO7yVhKAHZ7pVa7RTKSjQpm8+YZCOTiOBsBIs8PGa5ty4Lp roJdZLxh2TY1L4MC8STDPFUVJiIl3ovpGJjd0fNDZlPyA12LobU4541j40PVgV7fxJeV/HCw eWf3sdb7QoCq7v8Ze5bmtnWd/4qnq3Nn2tvYsdNk0QUtybYavaKH42SjcROf1NPEztjO3Ob7 9R9AihJIQm03TQ1A4JsEARDgbhRxEBcg3ZM4GxrSdmqTV+Vlf3gvTtuHn+56aD+pEnmRAsGz imn6jSLLU2eyFA2EKeHPg65LlMMYE8mixXyTGtikPr9cMY3LjdOnA7ODYGONkUCzpunQIS2G MlIbnZIdtJb+OOzMlETTHEXQBKX3xS2KcMncvJaqZC0B400ovxcJbN8TGoZcsfXii3OaLqSD UvdRCZXB4s444IgDnltMMXjamKG8uDITiUq4yh3JzE2JzTxxNTGVRhQuhcv+rrSxRn0wFfrY YYxgNuhdg51MZPpN00De4kZDu9UIdPoHgBdumzCcHPtwSWNVwDynGyZupzbwP3QPUl2wqdAl uklhjVHczFNFYnujAyrWMn2m+UWbtvA3c98f8SlQVReU55Orc6uHnZSnymLvCcwdaUMjb3I1 pPl02kk8+eW0MA6S2Wg4ZTd8SRAW58NZdD68shk2iJEsyVqu0hD5/Xm7+/nP8D9SIsjnU4mH Ut52mKGE8VgZ/NM5FBmJvFS34T2Qu8VLbHGH4X3dhRet8oC7KkksJjGxWlWG0FOVnvzM6v6i ZTxsTXnYPj25u1PjSmHvl9rDwor4ZuBS2BMXaek0ROP9sODOOINmEYAUMg2oG5yBZwPVGhSe mbqFIxFeGS7D8q6nDDPzn9mExtFFDpfsyu3raf39eXMcnFR/drMk2Zz+3aIUOXiQCV8G/2C3 n9aHp83pP3yvS81KERqRz8zGyYyavW3PRMKadwwiuE1Z4e4sHuiDz+nwzT6UAeQJE7S6FEU4 xewhnHd0CP8mIPzQGIIdTM7nOha/QaoCWHywynSCHIxeV8hTvxL0suMUFRgbIEHLGMox/i8T c1jP7G5I6IXvNwP321bDQbqgCVJsjCslEwpvNZ9yZzDtgxlhDnvH2OzxTtiMVhOC+j3T1Mv9 mK/0UoWvz5YNBVftquDnIyG5CXyynyCvOl8FFqQIb9k6hFkaTnvKlria9YVxqCyrOo+XziB0 fPLSUxIjUwTUunOmc2DuWBPc0lGRqRQhsXBTD2DnqCBARjE6IrOUTpMgMithqQEQkhIHWhSi cwFS+xwHltbxtharEOnZgNgYAEd90XZjiRmCAEbTaNzA+YT+k1BqPI+NfbxDcT16K0u2HDMa qAOwr1gADiy+Ng4/cR0L8CPveYsZNknWvOIugdvcqjba62McrqI0e7YJ0ZSL0NdHBoCn1Yz4 UjbkkimqPY24nLcSzmmuFJ+vJBSsxbmtbrXqNP8NbOGPx18ujUs0BtoRhReGtuVCf1IOL65p jOrGktmkuqL+/zJTkkR+PbPAeSqbODHB6hoFu3JRCJowR2Gn6PCocR8+dFXGfIHS1T+CKcy9 bqIEhohFEM59j5bdNav5gugcadTECp9Qm4FnEJRhgtJ5kIT5DTeEQOFj8j5FYXIT9Dk2AuDY 8tLi3ARiKmYniBki4JhfObXJq4KPuoPYeHbBxqFczoxMyDNknoYgZZpJl2eqNix7iYwtD2yN g72KS/+MadWMAlSiNZD63dx8MhzRcf/vabB4f90cPi0HT2+b44mLXfQnUrL0yv7zf3FbZGGC ChJOayPCaJoat74213S84JPrZR5vQtC7MfDjlWWqrD6bmhwm+HdJ92UJM6UjCbKyvM83u81h +zCQyEG2BrkVRV2i8O8iSP+B1CxHHnAzQ/2iEY0fORyq5SJPqzm3LtNZrWdft9GCCNa4Jpmn j0lIgGwtDLQW9Z3Zlm9e9qcNJgp2VTyYhLoMMBwz3ZiZLxSn15fjE+fIm2dw/qoDcS6NiHmP t6oiVGvDJNBFG0WQ2Y2xvdFTwmlekXqDf4r342nzMkh3A+/H9vU/gyPeef+FIfbNBMTi5Xn/ BGAMVEfboXNgMmj1HTDcPPZ+5mJVCofDfv34sH/p+47FK//lVfa5C593sz+EN31M/kSq7n3/ jVd9DBycelKyysa/fjnf6KkH2NWqvonnvPqlwSdZwI4yw1xyv3lbP0N/9HYYi6eTxLN8YuTH q+3zdmc3pfmkCcO29Cq6ALgv2gdAfzXf2lMZswAvZ3lw08pT6udgvgfC3Z5WpkHV83Sp37an ibrddaclJcqCXMaaS2gCD4MAXT4wLKghXRICvF0WmfB6UgZTVrDLwannipxNe3x3lnSNVwHS md0xWJVep54Ifp0e9jv9bsBR1CviWuThvQo0bcJnhbgaU8NrA7eTXjTgWKyG48kXLrZFR3F+ bjqpd5gvXy6uuEsupbgcn9MNu0FlZTIZ9gTGaEjy8vLqyzl3sWgIingyORsxzLWPBH/8wnaf 8/4bIavbTsopLQN+wk2Lc8xETOiT2wQClLWxDDybBwgj8yxNOHUhoss0jUxOONGJlaRUXj2F PP9b8DIOpMWymUzws8n4x81NJPbE1dBbsWHoEF0W4XB8afKfievAKGC/Pjy6M3UZh0gNV5YJ pe6b2Eq/3f1AJSvNj4AgvLHOSotOmh3OTZjUw8tIIWojB1keU1O75m/AoEs4vUvDhY7cTvGW D9KckvW7zdtmSCZRhkkqpmwIiDxAXyn4UWIGlMBwxFI4DIYklcuuv/ziDoSz70e563YN0LGF Dd+hqRfX17A9SF8pEwU/anzYjw8I/cwQeA3MgtMIUhLluEnukIDD8Qnj1WV8I016FvM4XAVR k0++n3+2EvXoMomlj5bJvkVhs0xULLJskcK1PfbjiwtqNEZs6gUR3Edhn/dpFHdESYFNuYQZ xnoTxerEkKYE/HDUmLabyWGOVEuNx5AnjC6PPc6ZIBft+hW7x8N++0gXLRyEedrzmFWTE0Vx OE2Wfsh6+fqCWFmSpdKv0p/tEuwmqcpiVAcoL7uObovbwemwfsBHPs5KK+i6hR8q+HQ9FUVo 7I0dCnNFslGKy7hJRGLwA/E49wIumQ/BttYKVsmId4mSuIZoiPkIt4XaYblbhBUIx0bDTYn9 LC44Q0hXidJ4/dnCHe1j94bZHY/ue4yty2oFSVPhh35mXCfqZSPBNG/rG+tLx7hDLSpugiNB YT2/k7BpgNkzufs5hsYAWXAl90ylQCDuR64DRbWqhT//cjUy9KEI7hcMABnHPXcyrjQi36YZ zTQQmpoE/I0HQp/xvIjCWJ3Z3ScAUvuPV+bc2175LNRTKUaJwgvDdFArIxyW6Ofv61CjWuto nsEqK+oWrk5qzzKFBBGFvijh2C9QQ1iwEZ0BB3dwQToBRLGRkfuoAdQrUZa5C87SArNke5GL KgKvytH4Z0p657w7KWDGWPCLBegpYWyVQDGWkeHb1DdcDPB3f/LOoo6nnvAWZM3kQQjdB5iZ cda0YBksnBUbGgKZUCpMZinLs+1alzNtPq+UIJS6N5iafFOVJ0V862NN8NwAIryv7+Q3mDYN vYSM0layfOaT+awYGaPeAGpU+IGkXfsROX4w89bIGgUNq9ORx/uWtxTthbH2oqooex4UtOTY FK7OikBZqmC/vMaUIe8cki6jaZnrMbAg3ARvcXJqyV1jbo9ES4M5wgqRAFrqJrkqK1rHFqbA cDkOeqLjd2UEMzT4hjNudiVh1IwLPU1GfWOONaEiTN8axxuSyVPDGufKNGPZh1Ggpw+9DyQ+ etzc9eCBKYjH+V3WJP1rwXZycd8GhAqg/US6DhAKwVTxpkpNA6cEoCFBaiDlITGzFBv60MLI Ag39rcgT1QiLUd8CVdgyDwydys0sLuslH1ZX4bhbpuTllcZDWXzrPyvG/LArpD1LoNd4csx8 Fok7Y3PoYBi3K8SU6rUfGr3OkYjoVsj85VGU3v62KMywFax6+K1gpGUrfs8iDqBf0uxOCzze +uGHkcS+UMeLIURJUO+Oo/EL2FnTeS4MhwqNZMRJiyKdfsPuiKzAMZ2lDqnkaxBWlmoaohrl f4KLxGd/6UsBpJM/9KIo0iu4z9mHThqFPS/P7+EL/pmJP9M7vq4HX7bS6KXF55koPyelVa9O XCyAxppyxHomSn46JqW1fUuAJWlIWH5rGIr5CinVwHHz9rgf/Mt1oJODUgKuTZu8hKHeoYws YIYPbuIUDoU0t1DeIoz8PCCb3HWQJ0ZKS1ODU8aZ85PbsRXCEWYW1Rz2tSnbq3BZnfm1lweY HrdlpP44ewVMzaXInaHTt3e3M9tSwkKZ+6FhZRAbTNMczeF9R5XwrVFvAGqQNWxmEQXyHLFr r4GNeb3X3tlXF0CooGIG22lv3ad2rbQAq3sZ9hH3tzpa7SytcBcpFmwpy5XFNg4TmBhmJdO4 t1GZI1bfJKtxHzngLqxmNSBHtsmZQjs1Eb5JY3P33RVLq/JVPxs4sG/T/JrOLW7roF5B8KNN c/Zhe9xfXk6uPg2JowUSYOBguYLHZvhqnoiPcW2SfCHRlw3M5cRIPW7h+IAcFhGfZsQi+ot2 XF5wL5gtkmFfOy5GvZjzXsy4F2NYTiwcH8DeIuJTphtEV+dcCA+ThMbmsT4e9Q7c1fgvSr80 Q3kbRHAY48SsubjrBpPhqLeCgBranSidnnp46jKH5mLRYGt4NficB495JhMefMGDv/C8r3jq YU9VhuMeuDPFrtPwsubUNC2ysoccHfBgpxOcF7HGe0FUUpV8B4d7RkUjbLSYPIVbvBkBuMXd 5WEUsYp1TTIXQURtMS0cLh7XLjj08BG9zyCSKizd2sn29tSurPLrkPUxQ4qqnJFnP4ZqAX64 Z0iVhDidWXnD0Lspb47Nw9the3p3/Q1lyG3CF3/D9eSmwtf3UurmbnoqxCMMEtLDtW9uHvwN H+bLEgOoBr4uVp//6nrbwWl1an8B1+lABZZm07Y1uiD0oiuk1UsmyyNCo6OL0xBDtNRsmqPT kDI07rc+0zaHejWjwQZbdCaoRWCBBpCFyP0gCZRfOl7Rapkr1A6t4JCxtgzoKU9S4NPWRRBl RtZZDq2q9OHz8ft29/ntuDlgDLBPPzbPr5vDB6YbClhFSU9UjY4otiKkuCRlGqd3rAJbU4gs E1DRnOlGjcKIpwt2tAwKLdv8TWlOYnueoNFPFb8vvFHHKc/VnnyH+iPMEZyxwZNakjtB/Y27 3hYzNPeGZLOiujkbhImDEiFjazBIUdzFGOIIJoq5UjsSspJzQ13VkbT+jg4NNrOu4NbUyx6f lpAlHBo+5eg2HoiiwqcHXl6H/urr8IyYsQAPAi8Wz+1eiE7mLYVhAJPvDOZ/+lq7BbYsPmxf 1p92Tx9MTppMzr5iIXg9Fkc5mnDiF0c5GY7MjqEEXz8cf6yBwqrXLfQw9FwKJyH7SAefXwQw QIrCZA+zOhdh4fSaDD3ssjRpmm/raQX3/L+nTtMSs8yyrzhwqJ2ZaPCZRvK5WNGeVT1s5Jxc Tc6uzAYjRG+Pm9PD55+b9+PnXwiEMf/vI+6PXKVxeQWYLz40XjcES9Zs3owZt+sRrzGLiE9+ GxXx1w/P+4efj/v/7T6+r1/WH5/368fX7e7jcf3vBii3jx+3u9PmCQWCj6f9y/59/0GJCdeb w27zPPixPjxudmji7cQF8v57sN1tT9v18/b/1oglmjVoLJ4v3nWdqDhSxLIcohetOtV63Got Ugyoar6160ynfD00ur8ZrbehLQ/pwlewX0s1A9mUpGyStjrTw/vraT94wCi1+8NAnZFdHyhi aOfc8K02wCMXDsuNBbqk0+jaC7MFPdJtjPtRc0K6QJc0p/t0B2MJW3WBU/Xemoi+2l9nmUt9 TY3gmoOXxgwpCN5wvLp8G7j7gTSKvPDU+EwVPcmV1cr5dD4bji7jKnIQSRXxQLf4TP6la6RB yD+ceKnbX5ULEJgdhk1sKaW+ffv+vH34BHvV4EHO16fD+vXHuzNN80I4fHx3pgSe5/RU4PkL Bpj7hdC1EG+nH5vdafuwPm0eB8FOVgWW2+B/29OPgTge9w9bifLXp7VTN48mtNcd7xkeHppy AfcUMTqDA+VueH7GK33aRTUPi+GITxJs0fB2bUpkndM2DezgVXEx5n1SKQ0UximYGpIiuAmX zKAsBOyVS70xTXHTl8F7j25fTt354tGUKRpWugvIYxZA4LnfRlTx3MDS2dSZIxlXmRVTCBzX tzlNaanX00IPtIMSmDyhrGI9Axfr44+2S5xpw79h1LujelFof7SC2vd/tMSPmrL97dPmeHKH IvfOR8xoINhpz2rF7txAXA7PMCens0AWRhoh3eV9/RX7YwY2cTfRECab9LR0N4I89oejS2ZZ IoLVm3b4Ec0d3YHPR2dOFVB+5oDIggEbcnEHPmfqWcScw7lGokl6ms6ZqVDO8+EVr4ZuKG4z qIbj0ujJcGLuIhVmqLsO2heRVFMk1TTkFCN6YYYyM4g70iwQpJ/bWchMIo3oYks4C0rEQRSx OXxaCtQq9X9flJPff+xOFz9wd46ZPlutDWUh7oXP9HEhokKwSVutE8Yp3cwn1ALzDMM3OPMv HnPTqCd0uEbfpjNLbahm0f7l9bA5Hg0JvO2TmbyWul0c3fOeig36kvXab78dsxzHC/7VYkNw X5RuZKR8vXvcvwySt5fvm4N6OWhdJtrJjUHsMk4q9fPpXL4E5TE9G7jC8Y99KQl3FCLCAX4L MVZGgA742Z2DVVErmKuARjjaKxtfNBJzf31bUq6XWiR7x5BuHezNwHIK1Bj3jEdHXlHG+GZy xHZ4iw+83xydHRlu6mdjRjBFj+EQunnFbAIaVXtJguGfWBJvEUQFfbDdAOowg1s1tDgygii4 X9ZlVDBrACm415cMHw+OE86abyjcZIzCrh4EmVXTqKEpqmlD1jk5dYRlFlMqpkip2PACqPUs 9NAbV7nidsVm115xiV5dS8Qis4bihVJ80ZrN7nu1P20OJ3y7BwL+UYZTOm6fduvTG1ybH35s Hn7CvZxGPUALdb9O0cUXGALAxAarMhe0Rc73DkVdhPfB1/HZ1YWhi00TX+SOipO3ySNfR8Xk lNxRyLUlk1jJGAbacegvektFbdp+P6wP74PD/u203VFRH6NLXNTZDZ0QGlZP4cYIG2LO+QLj 6yKjzlNYSQG+xCc9qB8FJUFZV2VI/Qa8NPepXKgsNSJyP8Y4BZZTt0ZZYKlORAc8L85W3mIu vSLzwBB4PVhNYWkcs97wwqRwxWQoqqxq6uEuJe934ycaOGZ2sOYGA+svmN5x5meDwDrqJUbk t5ZS2aKAnuf5XhiCmmcz57wsQOxz7xoeeXhnXy5ykfhpTBvfou5RhoQDITJWlYRqWaPT7d+n KOKpHL0G1A84+LijfqFQjhplCYa5BHP0q3sE27/r1eWFA5OPqTKXNsTANTZQULteBysXVTx1 EAVsjC7fqfeNDmID7Yng0LWtnt/Tt4UEMQXEiMVE90aEmg6xuu+hT3vgY3fhUjtlg5JOwkvM pIDuvOQYK1IvhM1hGUBn5UYgGiFfe9DnYgokQ8sYOwPCjYg7CYjgdaEC7UQyY7iFk1GGRCZl HVod3GJkJCQZu6u+GE+pxanNpSgj8iDdLJWB5RgSxHrpQkqBNd63Z8SFUYdiQp9wci7chmkZ GQ8aZV3wJWOPi3Qxj1RvkwWdVXBfpt3j39B9N0qNEvB3u7pZRwTzJY0X3WNEDTKy+Q0qE0gR cRbCLkDa5ZoV/TA2SODHjL5pTmUu3DkciTlNMOUVI7x9m67wKXSwjlBCvZQBznonI/3lr0uL w+Uvek4U+JKSPo0uYCIYnaqqYR4KzcHtnMemIUXLORL6etjuTj8HcPUZPL5sjk+uN4Z0ob+W ARbpuDVgTJvO3wPUA0VMTx3BwR21evkvvRQ3VRiUX8ftMDYynMNhTNw6MABTUxWZOpM9yHSC z/4nhL3d0N5rt8+bT6ftSyP7HCXpg4If3E5T9nXzutLB0Ne+8gLj2k+wRRaFvNs3IfJvRT7j XdII1bTkc+rOfVh0Xh5m7BQNEmloiCvUjOCTGjJXcxEH8inF18vh1YjOxgx2U3xMa3oMo9VW cgMkW5UqAZnKb9LfsCHrnNdBiwCfq+PzA9g/6crXCKvSmIkmBqla3aaM1auYg3yN8iG6PsfC CJtuY2TTdd45q8dhM/agbwJxjd5IdsDPTq7+29nULgRM4Y5Se35DNrkO2Fok1bh9Pfs15Kja TG1GpdGbPXCg6AP+1YiwPfA339+entTW0e0CMjHiqsRc96bl1OobJJQHBe9gLJM43ibsTiKR WRoWqf18x8TUSdo87PojE5lz2h1A9eKjxx0mqnS8RdZELPFadWHx7TGwKxccjNPh2OSbTlOz CCUFbmFcC2iuMm5/HTqW6G682g3XU8KDSLx0iWE1PPRVcYstFlZUOGU7QH6DaP/w8+1VTdjF evdkGDGKdFbipajCfJAldGVPyGaFrBcVuryIgnfIur2BtQYrzk/5LbuvPt2IJzD1YemmhpBj gPHZbxV06S8VEo+6tCIRAmXGYtffUYKdR0gmuvE9wNTOfe9eVadjoddBkKkpru7VaDxrh3Hw z/F1u0OD2vHj4OXt/yu7lqSGYRh6o8yUBXsIgQaaD3ZMYNUFkxt00ePzJDl1bcvJsMtEGsc/ +UmKJF+W64KH5fJbVVVU2VnaIx3VTc13IbrLr7RSKy5h2W/EzFaP5PfxaNNA2GtPGFy+19bE VfYqel1G/xjnMGJHkSJXsknmWfp7by4Gtegf0xlwDavHkhJ2ECMAzjK6tgC6PNZYrNR8cB9y oGzMXTG5zB8AO3SrJ8UIkfMpW8DhBk8NTQQGAnDBZgJvaqcf+iBwmZ5sFSKOnaUiFjrbGMFv IvdwSBoxpYJVRG0+lezqUGAu6n86chwvgtdGQeqIU7JnAXLkLS2kAmIgx2EaT06CWZu1+o2e MuAX5twYA/ut7d9FyVCZBdm3ecjZ0dc/0zAqE82xvK+uFz2GJ/TOnBKqYEHHhRWgsZH3LLAI sfaXbqzTT0Ir11OpL9kqnGFSxqVgDD7QdrIpiDktmnljBC4Wd5dgMJc9JkefcWNxZuwT1VYr lBZ9tmoiAL9H/2E1dtEvM3K7nN8g7A7q7OGxi+xYJkq6Mf3SMy8FsfNBPF/HUR8ct+OFU/yM e2wJWOchZ2Lw/QEYIlusb+ABAA== --jRHKVT23PllUwdXP--