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,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 80288C43381 for ; Mon, 1 Mar 2021 21:03:36 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 46BB960231 for ; Mon, 1 Mar 2021 21:03:36 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S243959AbhCAVDK (ORCPT ); Mon, 1 Mar 2021 16:03:10 -0500 Received: from mga01.intel.com ([192.55.52.88]:56358 "EHLO mga01.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S235204AbhCARL2 (ORCPT ); Mon, 1 Mar 2021 12:11:28 -0500 IronPort-SDR: fLPAUIyf5A7vg9DBC/eWyWgcqllCVkSOIpWjgAxrD3FLellvIUNAjfsjgfdOVN5QTNQFUmkRG9 arA73OAKNZLg== X-IronPort-AV: E=McAfee;i="6000,8403,9910"; a="206150026" X-IronPort-AV: E=Sophos;i="5.81,215,1610438400"; d="gz'50?scan'50,208,50";a="206150026" Received: from fmsmga007.fm.intel.com ([10.253.24.52]) by fmsmga101.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 01 Mar 2021 09:10:44 -0800 IronPort-SDR: NZiegKBJyRT4BweWU+65Ab4RDK6I0du857YKEhvmws5XIAFY2APqJe527KmMqg6EmbtGmw9Vag uBxFjWV9zs7A== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.81,215,1610438400"; d="gz'50?scan'50,208,50";a="373184963" Received: from lkp-server01.sh.intel.com (HELO 16660e54978b) ([10.239.97.150]) by fmsmga007.fm.intel.com with ESMTP; 01 Mar 2021 09:10:41 -0800 Received: from kbuild by 16660e54978b with local (Exim 4.92) (envelope-from ) id 1lGm48-0004em-LT; Mon, 01 Mar 2021 17:10:40 +0000 Date: Tue, 2 Mar 2021 01:10:21 +0800 From: kernel test robot To: Arnd Bergmann Cc: kbuild-all@lists.01.org, clang-built-linux@googlegroups.com, linux-kernel@vger.kernel.org, Greg Kroah-Hartman Subject: drivers/staging/vt6656/rxtx.c:385:34: warning: taking address of packed member 'tx' of class or structure 'vnt_tx_head::(anonymous)' may result in an unaligned pointer value Message-ID: <202103020116.9BsY8hVS-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="Kj7319i9nmIyA2yE" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --Kj7319i9nmIyA2yE 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: fe07bfda2fb9cdef8a4d4008a409bb02f35f1bd8 commit: 2faf12c57efe1f905007e866d753af7851205aec staging: vt665x: fix alignment constraints date: 3 weeks ago config: mips-randconfig-r011-20210301 (attached as .config) compiler: clang version 13.0.0 (https://github.com/llvm/llvm-project b077d82b00d81934c7c27ac89dd8b0e7f448bded) 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 # install mips cross compiling tool for clang build # apt-get install binutils-mips-linux-gnu # https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=2faf12c57efe1f905007e866d753af7851205aec git remote add linus https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git git fetch --no-tags linus master git checkout 2faf12c57efe1f905007e866d753af7851205aec # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=mips If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): In file included from drivers/staging/vt6656/rxtx.c:23: In file included from include/linux/etherdevice.h:20: In file included from include/linux/if_ether.h:19: In file included from include/linux/skbuff.h:17: In file included from include/linux/bvec.h:14: In file included from include/linux/mm.h:33: In file included from include/linux/pgtable.h:6: arch/mips/include/asm/pgtable.h:202:3: warning: converting the result of '<<' to a boolean always evaluates to true [-Wtautological-constant-compare] arch/mips/include/asm/cmpxchg.h:220:2: note: expanded from macro 'cmpxchg64' cmpxchg((ptr), (o), (n)); \ ^ arch/mips/include/asm/cmpxchg.h:204:7: note: expanded from macro 'cmpxchg' if (!__SYNC_loongson3_war) \ ^ arch/mips/include/asm/sync.h:147:34: note: expanded from macro '__SYNC_loongson3_war' # define __SYNC_loongson3_war (1 << 31) ^ In file included from drivers/staging/vt6656/rxtx.c:23: In file included from include/linux/etherdevice.h:20: In file included from include/linux/if_ether.h:19: In file included from include/linux/skbuff.h:28: In file included from include/net/checksum.h:22: arch/mips/include/asm/checksum.h:161:9: error: unsupported inline asm: input with type 'unsigned long' matching output with type '__wsum' (aka 'unsigned int') : "0" ((__force unsigned long)daddr), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from drivers/staging/vt6656/rxtx.c:23: In file included from include/linux/etherdevice.h:21: include/linux/netdevice.h:560:11: warning: converting the result of '<<' to a boolean always evaluates to true [-Wtautological-constant-compare] } while (cmpxchg(&n->state, val, new) != val); ^ arch/mips/include/asm/cmpxchg.h:194:7: note: expanded from macro 'cmpxchg' if (!__SYNC_loongson3_war) \ ^ arch/mips/include/asm/sync.h:147:34: note: expanded from macro '__SYNC_loongson3_war' # define __SYNC_loongson3_war (1 << 31) ^ In file included from drivers/staging/vt6656/rxtx.c:23: In file included from include/linux/etherdevice.h:21: include/linux/netdevice.h:560:11: warning: converting the result of '<<' to a boolean always evaluates to true [-Wtautological-constant-compare] arch/mips/include/asm/cmpxchg.h:204:7: note: expanded from macro 'cmpxchg' if (!__SYNC_loongson3_war) \ ^ arch/mips/include/asm/sync.h:147:34: note: expanded from macro '__SYNC_loongson3_war' # define __SYNC_loongson3_war (1 << 31) ^ In file included from drivers/staging/vt6656/rxtx.c:24: In file included from drivers/staging/vt6656/device.h:32: In file included from include/net/mac80211.h:22: In file included from include/net/codel.h:48: In file included from include/net/inet_ecn.h:9: In file included from include/net/inet_sock.h:22: In file included from include/net/sock.h:61: include/linux/poll.h:142:27: warning: division by zero is undefined [-Wdivision-by-zero] M(RDNORM) | M(RDBAND) | M(WRNORM) | M(WRBAND) | ^~~~~~~~~ include/linux/poll.h:140:32: note: expanded from macro 'M' #define M(X) (__force __poll_t)__MAP(val, POLL##X, (__force __u16)EPOLL##X) ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/poll.h:126:51: note: expanded from macro '__MAP' (from < to ? (v & from) * (to/from) : (v & from) / (from/to)) ^ ~~~~~~~~~ include/linux/poll.h:142:39: warning: division by zero is undefined [-Wdivision-by-zero] M(RDNORM) | M(RDBAND) | M(WRNORM) | M(WRBAND) | ^~~~~~~~~ include/linux/poll.h:140:32: note: expanded from macro 'M' #define M(X) (__force __poll_t)__MAP(val, POLL##X, (__force __u16)EPOLL##X) ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/poll.h:126:51: note: expanded from macro '__MAP' (from < to ? (v & from) * (to/from) : (v & from) / (from/to)) ^ ~~~~~~~~~ In file included from drivers/staging/vt6656/rxtx.c:24: In file included from drivers/staging/vt6656/device.h:32: In file included from include/net/mac80211.h:22: In file included from include/net/codel.h:48: In file included from include/net/inet_ecn.h:9: In file included from include/net/inet_sock.h:22: include/net/sock.h:1994:12: warning: converting the result of '<<' to a boolean always evaluates to true [-Wtautological-constant-compare] old_dst = xchg((__force struct dst_entry **)&sk->sk_dst_cache, dst); ^ arch/mips/include/asm/cmpxchg.h:102:7: note: expanded from macro 'xchg' if (!__SYNC_loongson3_war) \ ^ arch/mips/include/asm/sync.h:147:34: note: expanded from macro '__SYNC_loongson3_war' # define __SYNC_loongson3_war (1 << 31) ^ In file included from drivers/staging/vt6656/rxtx.c:24: In file included from drivers/staging/vt6656/device.h:32: In file included from include/net/mac80211.h:22: In file included from include/net/codel.h:48: In file included from include/net/inet_ecn.h:9: In file included from include/net/inet_sock.h:22: include/net/sock.h:2244:8: warning: converting the result of '<<' to a boolean always evaluates to true [-Wtautological-constant-compare] err = xchg(&sk->sk_err, 0); ^ arch/mips/include/asm/cmpxchg.h:102:7: note: expanded from macro 'xchg' if (!__SYNC_loongson3_war) \ ^ arch/mips/include/asm/sync.h:147:34: note: expanded from macro '__SYNC_loongson3_war' # define __SYNC_loongson3_war (1 << 31) ^ >> drivers/staging/vt6656/rxtx.c:385:34: warning: taking address of packed member 'tx' of class or structure 'vnt_tx_head::(anonymous)' may result in an unaligned pointer value [-Waddress-of-packed-member] union vnt_tx_data_head *head = &tx_head->tx_rts.tx.head; ^~~~~~~~~~~~~~~~~~~~~~~ >> drivers/staging/vt6656/rxtx.c:396:12: warning: taking address of packed member 'head' of class or structure 'vnt_tx_mic_hdr' may result in an unaligned pointer value [-Waddress-of-packed-member] head = &tx_head->tx_rts.tx.mic.head; ^~~~~~~~~~~~~~~~~~~~~~~~~~~ drivers/staging/vt6656/rxtx.c:408:34: warning: taking address of packed member 'tx' of class or structure 'vnt_tx_head::(anonymous)' may result in an unaligned pointer value [-Waddress-of-packed-member] union vnt_tx_data_head *head = &tx_head->tx_cts.tx.head; ^~~~~~~~~~~~~~~~~~~~~~~ drivers/staging/vt6656/rxtx.c:417:12: warning: taking address of packed member 'head' of class or structure 'vnt_tx_mic_hdr' may result in an unaligned pointer value [-Waddress-of-packed-member] head = &tx_head->tx_cts.tx.mic.head; ^~~~~~~~~~~~~~~~~~~~~~~~~~~ drivers/staging/vt6656/rxtx.c:429:34: warning: taking address of packed member 'tx' of class or structure 'vnt_tx_head::(anonymous)' may result in an unaligned pointer value [-Waddress-of-packed-member] union vnt_tx_data_head *head = &tx_head->tx_ab.tx.head; ^~~~~~~~~~~~~~~~~~~~~~ drivers/staging/vt6656/rxtx.c:435:12: warning: taking address of packed member 'head' of class or structure 'vnt_tx_mic_hdr' may result in an unaligned pointer value [-Waddress-of-packed-member] head = &tx_head->tx_ab.tx.mic.head; ^~~~~~~~~~~~~~~~~~~~~~~~~~ 24 warnings and 1 error generated. vim +385 drivers/staging/vt6656/rxtx.c dc6490b0c5058c Malcolm Priestley 2020-05-21 378 dc6490b0c5058c Malcolm Priestley 2020-05-21 379 static void vnt_rxtx_rts(struct vnt_usb_send_context *tx_context) dc6490b0c5058c Malcolm Priestley 2020-05-21 380 { dc6490b0c5058c Malcolm Priestley 2020-05-21 381 struct ieee80211_tx_info *info = IEEE80211_SKB_CB(tx_context->skb); dc6490b0c5058c Malcolm Priestley 2020-05-21 382 struct vnt_tx_buffer *tx_buffer = tx_context->tx_buffer; dc6490b0c5058c Malcolm Priestley 2020-05-21 383 union vnt_tx_head *tx_head = &tx_buffer->tx_head; dc6490b0c5058c Malcolm Priestley 2020-05-21 384 struct vnt_rrv_time_rts *buf = &tx_head->tx_rts.rts; dc6490b0c5058c Malcolm Priestley 2020-05-21 @385 union vnt_tx_data_head *head = &tx_head->tx_rts.tx.head; dc6490b0c5058c Malcolm Priestley 2020-05-21 386 dc6490b0c5058c Malcolm Priestley 2020-05-21 387 buf->rts_rrv_time_aa = vnt_get_rts_duration(tx_context); dc6490b0c5058c Malcolm Priestley 2020-05-21 388 buf->rts_rrv_time_ba = buf->rts_rrv_time_aa; dc6490b0c5058c Malcolm Priestley 2020-05-21 389 buf->rts_rrv_time_bb = buf->rts_rrv_time_aa; dc6490b0c5058c Malcolm Priestley 2020-05-21 390 dc6490b0c5058c Malcolm Priestley 2020-05-21 391 buf->rrv_time_a = vnt_rxtx_rsvtime_le16(tx_context); dc6490b0c5058c Malcolm Priestley 2020-05-21 392 buf->rrv_time_b = buf->rrv_time_a; dc6490b0c5058c Malcolm Priestley 2020-05-21 393 dc6490b0c5058c Malcolm Priestley 2020-05-21 394 if (info->control.hw_key) { dc6490b0c5058c Malcolm Priestley 2020-05-21 395 if (vnt_fill_txkey(tx_buffer, tx_context->skb)) dc6490b0c5058c Malcolm Priestley 2020-05-21 @396 head = &tx_head->tx_rts.tx.mic.head; dc6490b0c5058c Malcolm Priestley 2020-05-21 397 } dc6490b0c5058c Malcolm Priestley 2020-05-21 398 dc6490b0c5058c Malcolm Priestley 2020-05-21 399 vnt_rxtx_rts_g_head(tx_context, &head->rts_g); dc6490b0c5058c Malcolm Priestley 2020-05-21 400 } dc6490b0c5058c Malcolm Priestley 2020-05-21 401 :::::: The code at line 385 was first introduced by commit :::::: dc6490b0c5058c44868b3921cfd3b2a223ee038c staging: vt6656: Move calling point of vnt_fill_txkey. :::::: TO: Malcolm Priestley :::::: CC: Greg Kroah-Hartman --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --Kj7319i9nmIyA2yE Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICNQaPWAAAy5jb25maWcAlDxZc9s4k+/zK1iZl/mq5pBsx3F2yw8gCEqISIIGQMnyC0ux 6Yx3fGRleWby77cbvAASVLJ5iM3uRuNq9IWGf/7p54C8HV6edoeH293j47fgS/Vc7XeH6i64 f3is/juIRJAJHbCI69+BOHl4fvv3j6eHr6/B+9/n899nv+1v3werav9cPQb05fn+4csbNH94 ef7p55+oyGK+KCkt10wqLrJSs2t9+e72cff8Jfi72r8CXTA//X32+yz45cvD4b/++AP+f3rY 71/2fzw+/v1Uft2//E91ewje31Wzj9X97KQ6Obs7OT27+3h/O7u9m9+e391X84vd/PPnDxdn n2f/edf2uui7vZy1wCQaw4COq5ImJFtcfrMIAZgkUQ8yFF3z+ekM/nXkFmMXA9yXRJVEpeVC aGGxcxGlKHReaC+eZwnPmIUSmdKyoFpI1UO5vCo3Qq56SFjwJNI8ZaUmYcJKJSR2ADvzc7Aw +/wYvFaHt6/9XvGM65Jl65JImBVPub48PQHyruc058BJM6WDh9fg+eWAHLplEJQk7Tq8e9e3 sxElKbTwNDajLRVJNDZtgEuyZuWKyYwl5eKG5/3kbEwImBM/KrlJiR9zfTPVQkwhzvyIG6VR TrrZWuO15znEm1EfI8CxH8Nf33iW0ZnFmOPZMYY4EQ/LiMWkSLQRDmtvWvBSKJ2RlF2+++X5 5bnqj6DakNwehNqqNc+pdwS5UPy6TK8KVjDPEDZE02VpsDZHKoVSZcpSIbcl0ZrQpZd7oVjC Qw9fUoBia88EnKDg9e3z67fXQ/XUn4kFy5jk1BywXIrQOok2Si3Fxo9hccyo5iAwJI7LlKiV n44ubQFHSCRSwjMfrFxyJomky62LjYnSTPAeDZKaRQmzNUXbZ6o4tplEjLqvWbUjcJqavoWk LCr1UjIScaNOux2w5xmxsFjEyt2p6vkueLkf7MFwYEaZrUGOQJ0k43FT0DMrtmaZ9syWpkKV RR4RzdoN1w9PYIR8e645XZUiY7Cplk7ORLm8QSWYisyeHABz6ENEnHpkrG7FYeXsNjU0LpLE K7EG7cUs+WJZSqbMYkj/Ko4mZh00yViaa+gg8x20Fr0WSZFpIrf2mBvkkWZUQKt2eWle/KF3 r38FBxhOsIOhvR52h9dgd3v78vZ8eHj+MlhwaFASangMxGfNpR6gcWO9C4QiZgSlp/WrHMW9 i/cDw+4sMYyIK5EQzY1EmGlLWgTKI1KwRCXgenGCj5Jdg+RYIqYcCtNmAAL1oUzTRrA9qBGo iJgPriWhnjEpDaerF3MLkzE434otaJhwpV1cTDLwYS7Pz8bAMmEkvrT8iBql9BExN90JGuIa ewkGUyhR6ZRp6N1Sd0s6nbWqf7l8soRntQQ+g3M10CSKLmEZjLJp91zd/lndvT1W++C+2h3e 9tWrATfde7ADN49nen5y4Zi2hRRFrrxTh/7pKhfQCBUBuIHMS1aPE90tw8tPs1WxAo0MB5iC Zoz8e8ESsvW5bMkKmq6NYyAtV9l8kxQYK1GATbCcBhkN/DgADNw3gDReWz+AyO/sGFIxoJxy cgA14eCEQqDqMrJgO+AiBz3CbxhaNtTw8CMlGXVdkAGZgl88XRh/EfzbCKWUCjiPYIhIydDH zlr10fvLxwg93NEi6gSUCWW5NoEWHgsrEsjj/qNTOV13KbhxHHwk6WO9YBpdlnJkdWvRGYHj 2kvoAbVrV1sr15qAAK+8kYC1DSFRzJhJu2lcQCTpacly4YyQLzKSxJZkmlHYAOMt2AC1BHey /yTciga4KAs5sEwkWnMYYbMMPrUB/EIiJThkPacV0m5TNYaUzmJ2ULMMeA7Rj7T7h61tO59y faXx02Of5EvFrmxuxjUzUN/qpiGLImYtlpFqPBjl0OsyQOi7XKcwMkGdjafzmXNEja5skgh5 tb9/2T/tnm+rgP1dPYPhJaBFKZpe8Gl6e+p2O5jBsHuvVfjBHtsO12ndXe3kDIRZJUVY9+1Z OAybiS5DE5xbTYgvJEFOLpnwk5EQREsuWBuIWTKMuBh8B7TSpYTzKNIp7JLICOyacwKKOAY3 PyfA26weARNjty+MVQYCqTmxpBWio5gn7QFpVtnNNHSHgueqNZ7p7vbPh+cKKB6r2yZ31Osm IOwsbx2neuXc0JEETF669RIQ+cEP18uT91OYDx+9mNAelZ+Cpmcfrq+ncOenEzjDmIqQJNqP hxAXNpyCjza0BS7NJ3Ljd6wMFvaIZejKDI9Ga4AI+M1X0+0TIbKFEtmpP4Hh0Jyw2KcVbZLz M8ccISoH4YSfXEwvExxt7U+QNBzoseGt5dl8YhMkASFeeVFqAaFxfuLn2yD9ctYgL44gT2fH kBN98nCrWUnlkmcTbmBDQWQ6cXZ6HuI4j+8SqA30cowg4VonTBXyKBfQskL5t7YhCflikknG y4lBmI3X16cfp05fjT+bxPOVFJqvShm+n9gPSta8SEtBNQM/bOp8ZUlaXicSPE9Qv0coch9F o1jHanMYqCw3jC+WlmHociEg4KEEfx9UCbj2lm43IYNIuQYLQSCGNlGG7blQtgaTcmalsCgE qC6kVmIYH3mSNZiVKlWR50JqTMhgRs1yHIDeRESMyGTb+Igutmu7FDpPChOFexJqipSRnfsd IFo2YJXFitk5tgZPcj7RL7hhaBMxpz6YM0Nv7BO30/hgJ2uZL1kWcZJN8PwRmmUBvngSxmrQ K8JLQLSUTsKqjglKsMvJoJnKYYctRxuDIJbEpycDumQO8gJyAY4Bj3V5fhR9ed7lfhx7bi+H rfRbe9PaE1iBJYZYKcuGq9iR4C0HgYg2ixwXzCWCLxqjz1okR6KmfnFvcP5jMZwa8IaRVSnA dWriARssWYsoQ7YVGYSkiaK2T+Sujj1LXFJp7YAm4OFpI5SSrS9PvGM/PwvhwNbOkbto/x8S +ACv8GoCi0KGHuFQ+PIFhKkzjJ7N5Z4VGsgIjAGrU/dGjXQOX+N4H759rXrRMCN03ABkvyag 6qH7swvPBhoPFQPucn6+cpzmHnN+tvK5zyZXDfr+urwBk2b263J+0p8FGD0oQ5Rrdz1QJnLJ YgaTcjGtfomKNMfTOJpKnLer6QsRgAPo0OYo1c0tFCbeFB5nlYLTbdgJCWypFI0nPRjjJhzD Is74GCr59QBay6DJo649DdQ2owMhIIpHzfmfjRG4gVNw2GDJXU3qih0YMCcgdzXiEOu0TZWl /muzAyGLAt0CkVzmdpoVtq1wOnFRJuRVTBc5Bpl1Tloyi8DkSFuUCZlB+UqItOiyyCxT5rUi DdCkcOo7W5Dhy9m/s9nZzL5WrmM6lG9MDFjtHbiRbxHHMFzkMZ85PDIRMdVp7XZ6G388H6W2 NUzti1ifFXYW0CHPzMKo7vbQVqoNzsohG2GpwfgjJTki7YuXE3+yDzBnflcbMLAQk6gJBx17 ej/Z6uT9uS/nZ3qaDW6K5jN3yL4VIxK19dK+ob65RF72le018/uWVBK1NGrI0w3mRISVDMRb d82zMtLh4EyDsiF5Dg4JCHCNddUZuAoOwXScJsnmBylpGmGpA/ieIv0xSiACF0cDb1+MOeKJ Rj4RmOC3zbFtj3qPhK4ilo99KgxLV/W1wwiXL+pTm8DxSdTlaW3uwrfX4OUrmvrX4Jec8l+D nKaUk18DBnb918D8p+l/rNwW5WUkOVZMjK95uK3W0rQY6LgUDkkps0a9pjyz7JqPgFxfzi/8 BG3eqmX0I2TI7n1Lh7YVnWnjU3bL/cPrYe/j6UnTj6Xs229HNIBQuLGZi8xsBzfkWZz2bq/Z rvzln2ofPO2ed1+qp+r50I613x4z/SUPwZuqdXUuFMSltiJvohyFUu9BN5gRwOTlbhrpHKDU iufG+E5cC3fD8XlKaakSxiw93EJc7QxQvC9qaXt/KgU/boXGaeVLceepw8LkQV2m0Rq9+siD qkcxhtPEMpabK1jEDRhVFseccszC9lnPTrAmd64LSWqKtKMARIfjd4+VnXk0l7tRwrzBd9/A hozYG37xw/7pn92+CqL9w99ODhscg9Q4yeCSpMTaBzC3PHI+6+uWyycHRElmchao3zKQQxbz MoZoOyTUSTUvhFiAWmq7G+XedfVlvwvu23HemXHaN5gTBC16NEPHW1qtLfHAm/yCJPymvfRy YklQJjAlzL6V60iJy0G12m5/++fDAcKmt3312131Fbr3HlBweMrYCQ5FnZuevJpr8XabVZ2b 8B63T+jlJyR0M2o2xzrigpkuMryFpZQpNdAPaIxbAxw21VI2Cy4kQyUL49AD1GqYN6mhkmkv IrPdNwMxAzBmbCnEaoDE/AdGdHxRiMJTSwM6wxyNptZnMC0MEiC+0jzethfAg75VWqYiagoC h2OVbAEeECo8tLTNyrnpmJpO2cFqP6l+awbj2hBQGzynpYkCuoJND1Fj0Y7Q9t0pRpH8CAqT L3qg02vMlOyYmeOuM+pevfwQHD6lsLMShietI3Sz5ys+QsNugQpZDosiJwpvhoI6LrmZELcM QzBU320+YUAHYtGGaozy2PZ7AFUkELHgqUHnE29Dj2I9g2TXcCZFVhfs6VpLDkXXtG7jKN80 HAdqQGA68J4Kt1Xvk3n4Wg7VFBOb5GIswG10pUUeiU1Wt0vIVtglxphUCovB0aIJ+mxoQMBS DBJsdZ+nJ6jYcLt9BZXtKuZLCGi0cHOw/VybSmJZWlkUkzC2rliHa1tH7+1tN8SDnXmgYv3b 591rdRf8VbvyX/cv9w+PToUZEo0SYN1wDbaxAc0VfG89BzivQ3BsDM4ssDAdA2aeqUvPNel3 TFwX6OsyxSIIW9ObkF/hhbeVbamPheMkG1CTAcNgyOcr1zRFhvjJxjXaH6T16n2avZK0Kwp3 l7wl4L7r9AaJIiRrozps16JGNdgTZHYteIPDi+8NeCXguYPKw/pmED+YM09NiG53WmSgdMBc bdNQeCtAtORpS7Vyyz5saLlZcm1u5a2CqVavmVLABEx1YZmasKlB6z5X4BMqDsrvqmB2gV5b qRWqhReY8HAMx5ufheR6ewRV6vlsjMa4zxEbRLSBuDnF/qs7JNuE/pvvmjcWdwxLh+3Z4+1V TnxOGaLrlxQly6jc5q7/6UXbznQdG+72hwc8iYH+9rWyq1GwFsI0aUMde/qECpn1ND69ya97 vOO4qtjfsGee8gX5Ho0mkn+HBgKJ71GoSKjv0CRRenSieJntnSiYK2kvgq9tkTltWz+dyJT4 mWJAdJTjVq3PL/xtLXn1zbeNOQcS4RzNUcoCpSy9wvzOCIaell1shmATV9dvE0RfRWqJHbTj or60xYJB952QhVxtQ9cBbRFhfOWdlttfJ6Uqm/chaJE1B0blEMCgMRj5U+iNmVcbkSEy+YOe ZBozbCw3/qYjeJ8/McvG/q1u3w67z4+Vec8WmEKvg7WAfQKo5wEfcF7t8smaSFHJc21XCzcI sBITqVhgM0zEdks8Nba6Jqp6etl/s1IJniC3vcywEuh492CqOfOE1Ql+K0joLj9M8ZDlWRu/ xNRjL2zrYjZhhdkZLGF0d7d5c2MXv3fdJOAe5rqWf0znd9l8cxro8JyZuzrJ0KwOSvXbvvhC Djqpg9OyLS1sOaHPSaJIlrq7TmxQJo4BdzS0w9mVstaudZmNq5zyzDC6PJt97O5GjocvPiwM cEO2jrPgJUvrKlLfvWDCwJq495AxRHfaTRdQ28uGjy6fZmkz4nt4Y2HxGktdfuib3GAfXrm+ yYXwlxLdhIXPn7xR4zLQFmbE0csMtoRJiRrCPHesJQWLy/3vPqK2aLENcX2ZSibNHSF06WwL CP7Uq0bzsEBkCfg6y9zUeMdDTWUCHixcwqCVJLZfP32Q+0M7ymkjzCTBwOtUzaW7UQtZdfjn Zf8XBBVjfQBHa8V0r57r7zLixHnhAFrbX9wEmtw3fYBiwQWmLFJiPy8FBEw6x4ex4CTHWwdj msB5NHEirDZEe27dNNDUaZEJfyX1WWud99NbEGl9pfZHKHkER3PwXa4TkjW5mMFgGgJg4nMc aySN7SwmsrqYncyv+l56WLlYy9xHXKY1wpJw6l/1JLH0Gnyc9P2AL5esXCZrvF9LGCK8y3nt Vri2bEke2pKRY3WfbzCcMYbjf2/d1fawMkuaX8zLAo6lO3ZVsEWphBFRt9azxvmL4JiuS9I8 g4qoFbJEGZZlgTFa27VqIYgRMR65JQsdrP117UhCj858j/ks/ODKYl1PTo0h7REcgiGay0Mn B1X7gD2rpwmE5w1iqzGwL58NzRM1IDewcqF8j7ERnallP4Clkv3HldTWKuNXqdJoANFF1reQ do2KjJXJ6loycm3jsXN5jaZ6W7oPOsIr+2NYa4ftYoza64frrsoMDtVr8+Sw080j1ABhq1nr po2kkkTct2zUrt3DmwxJNv0iICCkqUuxGBB8mn88/WifSgSCm6Ud1VTfU5EsiKq/H249N0vY ao3DcZivr0cgUB7ugChJKOYV8U2TncZFXJywhoMzvIXEofirYWFGJLspOfx26l+xcrUmikkM ilgcuaOj4yU1oDIHtxOfY3lxJrpyxkDphw+zie45xIjw03TtNErLwbQsXI6Ffr4Rq0/EFH04 QJYqM6pBB/HF/Hw2/+6quLzanofMuhH51Fa9ZNe+ds2AMRs8uYUtTbvqk4QarySnZqRE3NwM dOJbqDB4wGc297vbaiC+F2jXgGC4l7iYpp23E6YixJ6MZPRYo2atsTNnrVMakjHUrHQ9MAta 1JLa3wePp+eOqE5mwSQ5HV4yWiwGB7xTfnZSAYuYWSQdiIzRRlh2D4gylo8AMMf+fmqAwhsl 4cMueeS4MQiaSMrh499pTOQLRgCTqrgpJ7Xpp+MXQCoI27Wb9ARzwIguJOtsdV2P8/hWHV5e Dn8Gd/Xi3g21Z6hNhjNxV4u6yym1i19SHupaWJyFacB1YUVdy+GfQUfpGAkbkdq18DYCxzJC KDBSnsHQ9GR26ns92eBzOOvXw90FeOw/PzV2vXRSWrCDcp0MmCCoVH7LCWiil6crZ0VhumYO 31xYQWSdhWnriab2s2224ZIlzvV7CymdmuUN3o+6qR8DUvl2AMklt81mvEAn1kqN1S7x3ISU qYjYmBYPPksEFopuiMxALyoPEWV4jc6bklCRFe6FXEuG+X6YkXnwilkxtoi8qq6nx4ccSVIk RMJhdq7aHCK8Y73GUkAuvR23SZPcm1Toqcy59c1PRsQqoxt3gKvtC114OFjxFlKa3D20yydx lKbTSL3iPuTA2W/Clrl9vFpYKSnmj5SW3uIQm6ytYXr3rvkzAi9PVfDPw756rF5fWzEO9tX/ vgEs2AX4l7mC25fnw/7lMdg9fnnZPxz+fHKeS7bcIepeHusdde94PuOtshmqNrniOIZuW6DL Ck+ENwcpqtPFx0YF4VsoFBunr/phJCkbP7Qd0ylNJt/jdkRLPbWxJf7piSkcD5WaRObTKB0l 6sjU6vVrXxcfGzdObolVvljgXZeI98HVynnqU38PtrsB8qz+k2PdUBr4IvfqaIyvPtql3Oa7 vbiwTkKDmHwOTXjsOnU8PkqMDAdxyv9Rdm3NbePI+q/46dRu1aZGpG7Uwz5AJCUi5s0kZdF5 YXmSTMY1dpKKk5rMv180wEs32JByqmLH7G7c743uD/LQWUttfnAgS9VCHXT5PQhkVB54XnpW J9icHcIQTOUHzttI+QyDA/SiSFErZFqARmKcT+ImaZTIcFq3VPDIfUyPadfhzrjd4wXX3McT kv3RwzbVLHFuZQwnCZiVicJ8sPWHkCBA1PjqWzjUeZpXl5xOD1hdmc2i6sqGP2Zo5v7MRwXQ VbSALiyrgaf1t8M1r1U5sKjatNnwBWIVG0228SpxIdyBZN2c9jRCwG+YEUVjJRuH2FcPKLK4 tyKqpJ2vEvxsHDkZLOSsij3VoLkBJ4HDheqfHDguC9XCMbpGCQSr4uodRiyufPjFdka+h4aW IgDz6oQC0Znb/VAOqyuA9UzHAlKph0b9tlxIEBvg8GbgSSODHWddC6gJLRUfvA6nyeD16dPn M1jZQj7DL+qP+sfXr1++fbdyqNbHsz6q6yTd1T9Ixfwljx4hce24976UHXOD+eV3VX1Pz8D+ OM/ucD3iljKlevzwEYA5NHtqG8A2G+LCRQpFFOfY3hRTdXU4WMQ0HjOghi6whjhpzRKJmLtU gMp9u/U9mlVDmuezp/c2+YN24GrVjDYKfL8e+3z8+cPXL0+faWWCL7J227Qmop7a4yUd7HlK TWf6FP5Ckx+TGBN9/fvp+/s/f2G81Wf1TzZh0tgOTyh+d2xT7kJRER2f8Tph9xxVZNa9Prdv 3j9++3Dz+7enD58+kvw9wF0H27wQ9QgXOW2wRCmtA/Bk4P70vl/qb4rxbm+6tjOGkUmclixO k9qPNFlJjd4HWpfBnpId5GonmUcidcE6lJVJdnRU0Cits+yP9v/PX1Sn/IYcHM7d6G5lk/SO KVIxEmwqdbwYU0NmcFMoADTqqwGXlRUYF3amwqYAnCGh4upbd7bD2cUdVQPG9PZ+tPvAMRqD Qsx13HlrraB2/rokEN9XMXdGMGwYgn0kanOSFRQzqsy6u6Lubk+A9uu49dYxCHA3GuIxnXnc yprQA89gAk8NOSJNgOm42g5ZwKlVfCT+Lua7k344o9WpzMgmtKdnGdYMDRFgTFKN8pCIynSy A+6EwDroKXpASqOGuPOhOHryGR0TGZv7KszqZt8dJaj5qktui1HGXmxLOKJAu0BJsU4hkUBi eyHOzDhzFerIQn0DVM2HDE7WMa/ZI2ZDpkj1qRu2nu+VRru3r4/fXqlRWgM2/FttOFfbsWGr OkcG1N5zDIuoqh01RsUFViQrXfqH3jL2jUcTJ1F0p7xHt2Lvl+fyYAgCdiC4t8yrQdfO6RX8 wL6A+ZxBE2u+PX5+fdbI6Dfp4z+z+tqnt2pIz2pLF8OROWNhWBVTVRywRjqffXUVAiiWPR+d /SOIgOud9SEKp6jqrLOC6jYrWB0gsLSpEmmv0aQSzNUAsXg02KtE9ltVZL8dnh9f1XL+59PX uXZed6ODpFG+jaM4tKYooKuJyJ65+vD6Er/Qdr7Uhrxn54Vt/2QJ7NVy2IMelVwEKeJfiOYY F1ncVEjFDByYzfYiv+3OMmqSzrvI9e3kLT5vXcEI8s7vXH44h3dGbjnLGhRZcleEI5MP4i6D Zrtzbl2d2wHhngduAebdI4vq+WwIHLVp4jZ9A/vUyNSan0RmEYrMjljsAfaKnekvDIoeQO/r V7BVGBTGf3z5ZqQe36vFwR45Baw1LTRUSW8d9MhMHupsNlwNcWbNjHmqTipAmQgoyAQWSWP0 7AJmQH/R3WXCt8Hs4mB3iIED3iOi4d06sdwxzmQu+YyDstPYetqJhNIRre4z3X2lpojKqil1 4DONjWC6LjeOUfx/fP7jDRxeHp8+f/xwo6Ka303SzGXheu05+3wPP1gfUsFfA8C0nM66ZZnM SOrHpqnvrikakRrVMzaR7blxpV2RgOv5AY5OL1q+2WUYtcbT619vis9vQqgSl8ITQkZFeFyi 60HtRJarTWr2X281pzb/XU1tcL16jamQOgvRRIFibgRJpaiFCzgsEToleL6eK9nEtMsNEoMS yF5Ce7Z7whok/BbWtCPB7zLzzLnrM2ZW08e/f1P7kkd1IH7Wpbv5w0whk7aAKW+kEkmlnTvE ujA0sFRkTaqmMsUhZsiwhZ5XqWGZvpzrvszmKmslZ/Qy8mGIMxGPNkRcnL0K51K0QvVybE41 Msz8kB6zoR2yp9f3tKLVJqrXEXKJwy91JriUuOo/BV8bkaxvixwek5ht2uMwVEPik0YNtPVn Y3glRHvVQAVNTCKyzDKedYioIl5slF56r3G0JqcIJoejVR4MT12OtFTz9c3/mf99gA+5eTF2 1o7p0gTg1tbrUdGYTntX108eyrgy57fhlNmgmsSoO+qAA6dnemRWRNXFG3D0I0SDhMiybov9 W0KIHnKRSZKqXtuI8YOikXNycaA26AV4T9dxdQ+7c+xeYhhgZIvbX1HhkouHiDdey4BCOdxa webfvu7vSbwKKucVJb2v4ayP5/dZjDTNw/lHUS3TjsFZEVjoUhMEjQuNaBKLnpyJVl/TDmKv xiJqdUMNLYIB8iMXlhMZLmrqJqn4lw6wINgMczeSSMSRtKJDYLw1IVU1TlRIwzE0YrT2120X lQUpACKD5oZTRp2y7IF2tjIReYPhqBt5yKwlVpPUlE/MK1Qd75Z+vWINJtVUnRY1WHpBvwWD OmS6XHYyJY8EiDKqd8HCFylvtCbr1N8tFpy9qmH5yOdV7drroqq7RnHWa4L2NbD2iWeZn85E dJZ2C84sK8nCzXKNQIui2tsE6LsEsOPkhKwU68q+LRzV9r1yvmeZi6eujg4xvpO6L0UuibNO Imt4VOg2fnCZUfolel4sjtX+JJsvMobeicZf4bbtyWl8FCGP3t1LZKLdBFvOmaEX2C3DdoMz 3tPV6aILdkkZ17zzSy8Wx95isWIXCqtIY7n3W28xzCyTSYOmOm0aJm6nBv4pG5UQPRrPz8fX G/n59fu3Hy8aj/71z8dvat/6HZRIkPrNMyyQH9RgffoKf1Konv936Hl3TGW9tMc00mQ3aoMP J76SdwJT+9vzHbd1isME6WzBbRIg24vByhnpShWnaurW3mkyElZ3RGb66lgpOsEt1ydwPyCH NDzvjQNPo4ZEpGHV52zFAZf74Twx6/HaHz8riDt4JWQEz5WxRj4QAM0uEJxgaGjKZD8y5aBP WsPY3fxLNe9f/7n5/vj1439uwuiN6rr/JirrfvGrefiGMKkMm1+TRzbbuwdmv7PD+R7naX4y BBF9fFNrhKtu1BJ4PFpbUE3XaFjCBkib6qcZ+v+r1Tp1KU1roAkU6IeQJUv9m+PU8GCjpv8z o6dyr/5jGKIR86KI2pgL1CxGkJGpyjGx6aBrFdSKNy3OGprQXftRwk5+XBcfdwcN7p3wWI11 fw0k402C/SYVcbD2i6uqIOoXYGqTJq7wwCz13Zrp0Ojm+++n738q+c9v6sPh5vPjd7WBn+zv UatDFIJYLGtSVuwB4iUtM/A7kuHDpK4ag+BT45BbIIfxPUabBdJdUUnkH6ijkGpd9TZ+a5EF XDmbLFFGLVN/RWtNlW0c96qY7+3yv//x+v3Ly00Ej0eisk8b6kj168jxtKRO9A7elHKz65bX xQJvn1kxm8siWbz58vn5HzvD2HlVBQ6zaLNaUJcXzchKKYlJuqbmdbBdeawdDrBBtW/1QuQ1 RKOCGyfGtwWL3EVkidK06h24xbhCnGW+B/Tve43mTO75/3h8fv798f1fN7/dPH/89Pj+n/kt h47C7IjIaZufsPs9fmi9BdZzDyeKXma+YeLDReqpDjvKIYzgJuaeqc1Rj0bpZwcMG37a6dn9 rD7rOuA9euMtd6ubfx2evn08q59/o1V2ikZWMVj1c5nrWXCj84BX/Ytxj0cobXuqjxRo50IM y3J3zavzb46dss135/kLb05crOdE4kHY00JRknNYTy2y3eLnT2cmBgGsCxsSkWqHPE+myPwF nHXYtDTL6TVmy/EaQ2P5a4Bup9rV1KS2PNUUzVgac/vKJgFgL3w1YfxGSBPdq0OQ2msuVaac 1sC9jIhEOTM3YsSOsWMrg4VSEYIu2PE2LZGER0Mu7bkbFiQCR5GJdxYEjtoED/VzLSwFLcqi wPM8CMyES/VDeMSaSkXleBQllxvuzIbTvjvBk0N4Cb3TkB8vnHAVOtpWQEELbobCQie13SCb LkPp8n0QOKDBUfB9VYjI6kOsFKiQkbopJyDxo+DMZDETIUXbVt8aCyc5ayAF/jwEQq7DEkkN nqe5nPUwidMaG9f0hK5B09NE67wjI7piRFe90z46Rwyce97aeBDogYa0i47LNWHIvawqbC4U 1sHuJ5nDDOWyMyuJsA6vpamxa8hjM3DhOM1LCLZ3Z0HCG0pvwT8YAiXG851TqeUUQAHlImJd f7EA9TmIUh8/rXPKI3tMDzRtbHWtnuCplZjXrmCpd/bNxFzGwBWj2ryP2aGTnMQ5nq3EPVNf wjDpvM34yDJRqZMRfiTnPovwWlnfHokqAL4veCJpNtz01ZI9yt4+IBUefM1dC3DuVNZEXnD6 QSwlQ4J7elsHwRp8pgjtXRCsWttL3oqluN5KWqyOMbLwIRZp3rJzdi4aKjsRpjzUwTLwr07A 6k94bZtzzadSVZEXpLUPyLBBfdiOWjg0zqnsWg3SlKv1HtBN1JrqHITBcscdCHDU9zLCC515 Nj1uEkeMxS0/q6sQxZUB30MAxbnaWlNMaI0aPlXGQwzWqQfJr7dlnNcAiIusx4oc3zIh2Tu1 kaeq47tULFvHg2p3aZhL5zarjfPOYg/hYmKYcwcYUapL3POJxNGVXZPafKTaXX4s0V0otgTG oSd0vfPxSAWlsapMYkmXWVstrlWr6ErbgU9RExOgn0CdVUJ+/QdWU3DLVBV4m52ja1UwPQn+ EgSLAeoMrxBAUrXI1HrBaQSxUIxBuzGjSEV1UD/4lYRDSD66LIxAmUr2t0B3t/0YijlfIpED tL+NpzNm7cidXbCATMmjbeHOXyzJ5RURvrI9rbOajJ86C3fejn0zBjgtuUgpZeh63Qbi3Xke t4Ro1grfapGWCcFSs214bqPXAVT6JgMk0RhfnvY0zuAiOgMnOofaJJ0/axiZyWqGkI2xhXbT ebHTcy5xqqNeaYSHvChrCt0HmWzTo4r52lBo4uTUXN2L/4JEUSdyz5+wkdi9vCpylu9+YVIy 14G8miaKuFGgdqqWGywQkDdjfVYUXIupmqubSh6P4DaQcDYDB9nG2j6PDvO5OUsm5Q1E4YLx UCdYHc2k2IhkblH6c6dFbYNgu9vsKXU4+PVZG6hhtl55oLZMHgjaRpht1bJnlxHzg1UQeI5K APbWBMdGb5mB3RsqeTrTSHWOFM7E+gOKkx+pY2FfMv5GPCzTU+1kp23jKIYZne1ZPNBaS+Ey qPEWnhfSIvbbcJ7oLY4WQ294adTj9tVukYnRzGqdCsHG1ClhHtkRqaPEeavifyvURNvSfIkm WCytBr0bUprE+nXfJuqFmgaGZXks5zTg1FxuUZrYW7Ro6wuqJNWNZFjboywqYQfuO4oG3CYM PI/GrwOtAjauzdbd5zR/50jrXjZxXce0xL25wlENfL86Gi3s0G7qrNaDKVlE4jxUHAbVoBWu skDydUjZ7EXuAJrQAiHgukvXiqBltOXEIb4ok93zRhWGWYcAKCKpnSJwzCPDrnCyvFstvN2s VIoeLDYOc3oQaBJ17Kf7PTPdgudi9uP5+9PX548/qe1oX9FddkLHP0y1jTAxa0AsbjFUApXI 4C2c42BPWYa1c9JXvK5Vv/C1KCM/ipfY87csu30d6fdcXjAxisH+LqZEGxgLaFlZUq0o0KB4 9oviE7/AO940QVteQHbSWBO9hhyjuCpWKBq+TwHzVpz5zRQwy/goamyp2GNIBd56YadiyNyD asBVG99t0LY0JvVDlF5DOWBZ9bati7HrvG0g5twwCrUijeV0cZzxjDxkGEZl5OYDI9vTsTY2 Q7bj4foGgbrabfGZEdGDxaxiNUcN7u265fbkWGS3tqsYOMd04y+Y+sphYQ2YfMAavp+Ts7De BktGvsojaQwR+IqqT/taqxf0I6YXROyig3V4tt6wz/Rpfu5v8WlEg6LF6a2kLwZob8tMjayT qwLjsi5yPwgCO9xt6HusombI/DtxquwRogvVBv7SW+jzzYx5K9JMMi1ypxb585kCZw48tUNa e62rW8kymaVUy7iC2wpuiIWJOnsyTSnuQo/CVU1je9nFIXclcE4FqW/4ni7IMrVJ4e4am2Sy bOcCUj0XiLt1qMAFGLLerNm4dgNBY5a5gqx5EGTNcd6RKO7OGW532yUNj6tZpTtvS+A+DcVC XBrJcyy0gXMuQ4aanCtq66Sys7nlr9JFtV77S5Z1lmqyYG0lVHzeAuHume8ujK1EgXih8oDt wPbruRZeU0+92PijgOPJl0HkUA9Ieawr7znMl5uWKEp60tXYPa6P0/6ckQel9Ce5FpWGyFbM dhOuF61dNTj+C7eNWExfUqFsSOwXjAUNruWkyC3Pqlug/tsTQMsmG2qVNbDcTQYSPmsQo46r iokLaShOG1l57m1fsAn4OV3t2JtkxVnuVuthf/j09zN83vwGf+kg0cfff3z6BH54hY2bP6Q0 v3+hHLuX9HvLX0kLJXWW2HO5J1iThaJG9xmRyqxvHaooAVvSPBElKhJe8/chvOmBEe97JKFL daFDclUxMRw1wZSb7dJS49tJbkRgsdmFXApP3DYCLcoDhWL0jlQbAHVkuHvwKGLjJ84lGrUI AVIJd/6CuorJhNOTXHPkwNaoai82lRQvO6fBLT+4sziSwro0yNQks/BOXJqKM3NuVCQLGhJI NANAqSPqU7fd/Fz4UDlzojW7GTLv6mJ4vNed4vis0xww3EFOtvBi6RL21rOtiyFbNbRZmn0Y nFD5DG2WrgrfLC2Qh+1OxX9tKAyaq6lZMLsSVAdbNX5LzxuKsloseCMsxVtrHtIsNRvPIvjB TKYnqb+Wy7YlyU+ctYuzNmFwFqdQPrs3NzklfbFqtkurf5mIeIWK4dFuOtEMpswLrcbLDLtK BrqVyYHOyo5wR/8wTGPywrIsTM+JMe0xcaW03NLN9ab5xaM+JwR8kwBni8ulCUPmcBQaV4u7 /IIwbdueaCsaWgdoqDUP0VI1Z3WyeyGf1oRmaFYrASkIfH/PEcMZcesvIzb4LB0dfk6FCGJa uF7aY03cDdsyTkBEfHwgLYc9R9RHZ90OAsmNoQ5cOqsDxR5c2kPDYeaD88KCSmEBbJx9Tj0f 276abys3QMRqEPUd0G/a9OZ7tgk4a1XceBfZRYJFcMNZffcQYdcNmPvfRdSEF749ryI73IH2 S6NO30PFOTYiu2vygzEtoAR7kzCiGZ9ryai0jBZHH+ZHnn4Ord+KTjXDvnaBnu9h9JCQwABz yx8J6oi3aM3vyc7JGHt//vrju9OVaoArxp9mnnmhtMMB/JZTC9LN8MwreLcZC8ljRDIBL1He GoCyEc7p+VHtcslbFVbMWQFPuVKPZCLwtngAFOMXO2B8fylUfA/TwAuuoBlMhhXhbfywL9Rc yzfIlNlLOa0biV8mGiidyEVaHDkGniQnKvWaGOlhsa+4YTcKHA8+l/yxkgRriTA61ltqEjnJ NI2zomHi1WcSEXKsWkbxWeYRxRsc2U3GWvJMMWv7Ljao7J9RZrcqtpS/9JnMqX1DJTEKzcjJ xFHbDDIs/ZJxUe3ZltHM/eyZ65kYPOXCIlFONXOWkfpgMvAuifPkJNj0Rb1eeJw6dJSAcWSB K468tnQ8SD1KlG11sb0OtRSbvT2lNKDiJjZ/hmKU0GEcss9oYxlZmk3VnJWIXE295JE+xL3d q4/LcQ/XOXbktTr2i1T1EXVIWdkTZ1OcwqQOqzhGpkuICAgzJSjVsOEg5gdBmQWbRctzRbQN tuTycc51oAYQwcpTa48Ghnxh+aBa6zJsnETYp6IrZRvKitQuktiffG/hca7+Myl/54oEjmZF HncyzIOlF1yJLHwIwiYT3mrhqh4jcfQ83pKLijZNXc7cjy7Irn5NOBK7BXvtR4QeclFi6y/M TERW1omsYle1xbHDBIoIHUUq+P3mXKzv8tel23DJe+5hqcPprWzqE9/zjkURyZbnJWrJwIjS mKe2n77nGjX1pn7YbjyeeTzl72I+wfi2Ofiev3VwrYscyuPUUVhCTx/dWZ2RHfkyAgS7FbMz 0Xrq8OgInIVqvscKaMLMas9bubKuRv4BNHWy5IwjiaT+cHVDmbWbUwpvl12JRuZxSw8TJJHb rXdtvCRNWMa5KwbFmiE1c00WqS1us24XG77W9N8VYO64EtJ/qz3NlYQaAEFcLtct1I0z0/9j 7Eq23MaR7a94+TZ1ivOw6AVFUhKdhEgTkMTMjU6Wnd32aU8nndVd/fcPAXDAEKBq4So77hUm YggAgQgxvd7rQxUT1mzOTiLsGTrSd1Tzmqb3FD9Ms9BVDnHda80VDmJfnGScDWdSIXaua5Ia RtzVqdl52DmmRsDlcHbCFSmh2X3nIiEKMAjJ3flOcCt5sPM36iVMbbnmIIfNRv6HjnW4QbrJ fA9uXu8NMNFs7Uab1UHjBp8e4cVHs9HDasb1njKKteB9JkkOcncaBX3cbBfx94YFd5UK/nXF euXIjMOB542G1yqbEW2BqauUA7mhLja01ahp66JyrFQNdWtllPmwXXFgZK+7otbQMUscwYC1 yvU0ib303lB/qlkSBKErsyeXjwmtobojmfQ/Z0LNB4ob8Wi5QeRyVWOYduKNbu4vpbNyfetO fDe/sZHnmrQfYVlPsNCPy6KfV0AN3XEtVLf4ms4cwtHjdWbM8Rp5PicZ05R/BruMCC0PuT7Y M9V+f4GzPE9n1NilTJP+rb8OsjzWz0mRRbFn/k54dd1xJawe7OoJsKrLrkI3sArp0uyGwky7 YI1wqs/qwCwNbwe+fz5NsP1ZH0b2Pndm2XfXeiCFugBK4LGWNzxGbiXxvdzkDvXh3BYMnkei 7S2GTuBn7iYtxj7gPa+vrQzZtU28yJuaxWrXs/ifu3pFS8CGecnXKHlf7mMvCfnHJmczZ45l cRpZ4iuZv7KZGEfQrzc8ZF4MheDfCu01Q8eK4RFcFXWVnW5VpEHmTW2LnC/KbdPdYSto8Z2R A6QklCSrE1ZjG0bWbDKJ9alZQo0IQmy1LJ+7giQv7JqUpDD3SAYDNIq+AE/C/G+7wj2WquES wGS2tpoNJ/ECWx1LEuY5Alu2pm8LHrv4btjZtSnrSVP6U5OuFx2kiYx1Voi0VhQSSnYGZ++F tsRc14U8qCb/aibf9y1JYEpCTQ+cZNi+Z4IKmx5rljPi2Pj4/PpJRDJpfu/emb6x9CognjwN hvjnrcm8SJkXpbAvm55qft2lnB4gkFmJaUqS0DY7+KGRHDhFsdKaXGRwujM1joExtpkcr9oN LV7R74zkDIKYMFyUs+AghTkUpJ68JRqS24nGcaYOgAVpca1owWty9r0H3CX4QtqTzDMok/EO 1hMWPznYtYy8dvj8/Pr88Q3CLdlhURjDprbpUBI8xGnOchs+MuEotGpVS28hreCPWK5VwzUi fXGJCzxTDu4rZdATFKFs0EKYylzE4xF5E7Av1GtcAev+aKSINrjbCoFeC1Yeqw41bhNFgdW+ 2++NZHdWQZAEjlc+Bk5Vp3myWoTgbQ26HqmxTexK2xVR6OMpOF3trJSyZIPaiCsygtXyoNhB V6xVjr6Lvm/htZlacV5no7Qq9IDXBNydyztJxVypGKUcoqkEcaKlYzoZnjtqyf/0BKuKJhY8 vu8xdmRSatP46mGah6oQWI+danWNUtHT+dJpOhKAs3WpIrow8FY3dOOjnQtlYfjUq/7jTEQ/ kBmbtn3UBuUsMa6cF3Ene+8ckc6aDdYvJVtzOFO+6+g6tkQFk9eaQYlc96pFgyYRd5q81Tpd vESlWEcRSI+cjF+rchSeKU15Kw+aRDlEIAKsMBDZSU74PO22rU8HdYqQiRqvnFapfBellRCA lpVR6CX4JDJx+rLI4wi7EdMZf5lNIKDmxIcpfiA+c/iOwZF4VStp6K0uXmW1Y9m3ldoFNltT z3oK0eYIlgoMSpQofJBaMYe8/mV8mfbQ7RqmlxCEfNugfw0pLNQiGwkvmS0rIgTaWjvE9ADt HS8cl3/+8esNj2GoZdr4cRibHUCIE9xef8FH1As1oKRK48SosnTZpQubTDVUERLpmlWRgH/F SBedxOFIYAiF7xLen896irThektu1ZCLkxC7ZZnAPBn19C9NYfZiLuLTm20qAlPG/369vXx7 98efa6z0//vGP8jX/717+fbHy6dPL5/e/T6xfvvx/TcIu6J5wRUTBcxjjojXcgzQ5nASwQ/1 ed8AaVtc3KjiedJBUL2RAlYfAo/prVyT+mJ8kGm+0Wok5igRnJevMe9FQDRH3RpyMJv7/VOU opZ+AD7URI53RdZBq1AzGT7GtjxqAmV4CEezFxFWl2Z1bKcE0sX4X3yh+f78FXrC73IwPn96 /vmGBxIVrd10YHB1dri1FpT2hO0eRHG7Xcf256enW0f1+OWAsuZkeUYX+Xdvn+VUOJVR6az6 JAEt1lBrZkJnIa3RmOr5XUjsnihEk5Nzs+gSAyNLiEnhbpopOj3q5nIlwARrdnKQy5lcq5pV m1A7CC2rEwXZFCEOybW6KriiAjZ9I4Cj7v+D9pj5M+W6+Np+0u3k+g9N6ZBbZtoYLmxX8dcv 4HBdCdQO1pJcEVmT7Hs1YG5PFytPuaz0dE4ECXAM8SPbBvxPPQgFXx0oCmjOZUvK/wLns89v P17t5Yz1PN8fH/+N5Mr6mx+DXa2IqGi870+k3wukWfXf3YT/qW8usGJZ0IfhFqFUAxroaFdq cZHtyiy/MxWZOUrpBNwOQ3fWPlBzkpqizQf9Z3/mP5s89ytZ8L/hWUhA2ZDAwEA0NL24t4KG aaCcgSxyOKfNbbk4NkT4pOyDkHqZrlmbqI1QvldW3fEt8tGPPd0t84wwssdNNpbcxKVAgPpO nijyuFjr5BMClme4X7CZIQ557RboyrpVzf+W0iyeQahYUOdglHzA/Hr+9e7nl+8f316/auvK HJrPQVk+P09O84czCfj6TBlEmLm1DeGaa+wvoe+6/W0qhPGTZvgwvQExupBDexF6AH2kqrm4 3L+AGaoaC3YW3i7YNkPAVuB6IYXPGHrrXkpGTvr2/PMnV71EsZC1WPwyjcbR7VZSBuUTB3pu HAnRpROqa9FjpnNSQWLwP8/3jCotAxZxViUJg9neOn5sr5gtoMCEc7yLcqg8SbvTgaqbfdm4 uyyh6WhK69OTtPTRs6UFKeIq4H262+GPqySt2TeXjTajDepkcu5Lpe4lTYivZZWH6B2kgKX+ ZtQCXDPt9dBfG51n0fiF9OWvn8/fP2Gdqqj6mK8LrpIU1ak3v/b1Bhot1qs9q6JCHuATmzwJ ho146GwJAadmh5NXW2YDsb4pg8z3TH3QaAE57PbV32oZh2tNSRiap+6EmWTLq9Qq9eIgs3qd bSWI4PEGjivcAntfnJ5uTA81LAC5DXGOsT7Mo9AcYn2WqtuNRRgnsZU+tjhhjHiDIVcvVxml /UKWWFnPt7PuhAUjd1iGqgxnu063uPY4Jlme48GPkB42nYM093rejmWoacTU94/GN4EHgA08 rPQTG6klFEQGNFRlGExvnRaXP1bJ5FMOvkdDSjz9CkEFfPny+vYn32saS5o2gA6HoT7Axbvd n7iWeu7RhkUTntO9aofzVx9i41iavf/bf79M20Py/OvN+AT8R3J7JF61dI53WwupokGU411L J2VY71Ip/lV5irQCk2aDpGp42VxaCKmfWm/69fk/aqw6nuC0oT3WeqCPBaGum4aFATX0MD8D OiPTaqgCIlb8rlBf0GgMP3QAXuIAghDPTNNztV+EniOp0HcBmnGlAd3KAT830XnY4qsyYtX0 WQXSzFHeNPMdVa+9yIX4qToZ6H1l0f7hAk6EutSDUa7iaeuFbTQUEsSupUzR8VXQ7PAmBn+F 0Nn4bkkhiyPa5dLwTpFaVga5GjNQBQlLwiDEscV6yFVmpLgIa9EUndh6/bkaOtRwMwTuLJSL lYmNYhC/kuCQzJCe+759NIshpeb7Wg0zAn324FoTcOUmjbfDJFsy3RWMz2SP68sYNejAESL0 DEIR8xL8mn7+fVGyLI9iTBmbKeU18HxNc5kRGDEJtq9WCepY0+S+K8kMV/JmCt1hus5caY6q N7TgR30WWintPgTpiGoMS3GEzmk3O5f7MVIxeICQSoUHRwKsHAILUHfJc7W2vvNszLbx84b2 kPtakRkQJpGqWdEMgMKqb/1mxHEEsKYo2hxJkYVJ7NtFqGomLg5EM0RJnGCZYlowSslDx8/B 8hPtVzOH94bIj7c+gmDknl01AII4xYE0jO1KcyDmmWmH0AqUOTQjlZOjdyfLOCC7MEJKNGn9 qd1DD8X5UMvpPPJteGCxp56bzgkOjM8fMdbo55L6nocP5qUicrO31ehVnuex0nWHU8wSMCrV Z0ljHhX/vF0aLc6QFE7XC1jU8pMM5Gep3Uvs3CqNfC2erIbge6mVQuCF4d/gYPqgzkjwMgCU 388gvF8IP8VHi8LJuQ55h8McUfN0hjIpaECihi1RAdULng7ECMAVKw9tLlryrTd2DLkwxua2 L06wGeI7mla32psT6WvUY8hCYGPvY9mX/D9FM9xK487ZSewp5ulnZgnrJFaT3m6ziiYB0mIQ 3DnwsUpNlsUF+txcI8VYzZr44VYQPFbuzNmnPt9PYMqlysiC/cGuzz6NwzSmWNazEf920feM 7wPPrGA1msihjf2M4hs3hRN4FLtwXhhcNyrswnNxgGYqr9Kxh3Iz5dgcEz9E4343O1KghmsK oa9HuxM0LEux4rwvI5c1qiTw6XfwA/RaZQ3tfKoL1XRpAcQiE9uNI4HUCej3SRqYIz1cAsgs AsZQfuzjQOAjs4gAAvTLCSjCTx41TrI9XUrO9tQMOlKwPTMDJfFQ34Uaxc/tWgogybAeBpCu QdmE0E/x7gnB1LenWsEIc/uLCCBCvqEAYuSrCyBPUYCXEOsopOxDL0D6AyuTOELyHlI+/EOk /5AElaYh0qUItlxxKVJ0Ls0waYY2N5fjdu4LjGacYQOPqAqvIg3wjHPcyEwhxAH6mEBjRIhK IAGk4H2ZpWGCfFUAoiDFCnpipTy2a8wAxCaxZHxAIN8UgDSN0cRLxre9+NuAlZGr+7EF6EUs D6wu+yzOlWbpiWY+u/AmMarUBUlyR7MMsC65g7gX+xpd6nfkVu73PRp3buacaH/me9Ce9mjJ miGMg83JgTMgjgD+457GkfnSwCTRNsm4YnCnawZ8G73VQGI5STPHGgDQeqh1b6YPM//uDO2o spykUffwCiXw0hCfHDkSI+NLzo7YzABIFEV4almSITMT6XlzYGOVJGkSsQFBxpqvSUgeH+KI vve9rAhsjO9mIy8KcCQOkzTHGvBcVrnruZnKwf0Lz4yx6msf1wie2sTf/C08GdzrnjJmiO4Y RY3HZvzIMP2Ei7H1i4vDv1B2iWr+k3XtltpPar7KIytFzXXvyAuxVDkU8F3nZoNzTgInjVtV J7SMUoLupmYs35p2JWkX5kjxaXmMwU237WVVYwRbKpBghAnS3ozRFNM3KSFJgm6i+A7GD7Iq Q338rCSaZgEy/gremhm+uWtOReBhL4NVArYEcXkY4EpSik5U7EhK9MhuIZDe91BFQiBbOowg oIoqR6LNbgQEtBqkj/0Qq8ilKZIswe2DFg4DF4x3KBDQYZNyzcI0DdHYgQoj8yv78wCQO4HA BSCKqZCjmo1EYOpyGBIqxJavJYzazSyhRHghsyE+wI57F1IftSdsQoErUOfe04M45ZpvkhiW 9Yv41F2Lx+6sXc8toHwrKF4TTSFIUN//M73rhUcbUkN6HpKesJSzDh+vz28fP3/68a93/evL 25dvLz/+fHt3+PGfl9fvP9SzyCWVfqinTG6H7oLUSSfwtlQedLlIp67r77N6eNu4Tatq+S5g SRRrWAdfJO9uH8sp5dxZuj1DPr0mVrJUzrjlKfT62/U5oTwJsxOdXtUrv1gtJeVb+o1HmdJs FslOGscgaYIpnpfkW4lOEcvsRJ+aRrxWt5H5ETuW42TyuFmNK9Iw8/G8nRvsy8MRK+FsBaUm t84900P6jYIUbUNS3/PB+dOaapOEnlfTnZAu5ZMWXRNzyQTeokQeSJHkG3Loq3JKRv0ktyLw zd9IA0Ja/PbH86+XT2unLZ9fP2n2Mn2J1WhNvhm5KoLad8qCzFZRroyWbJo1J2WSqJh8BzSb Kt1JhjOwZCh4uOoobXatHrEcdTS6K0mh0hWxcscKJIgEJQy0sMQ1hisbgdOutH4on/Fu/XRi kEY10Jdl37cFPRpCiglPmHBKGOK63kpychXNafQrSaaL5/Vt6T///P4RwmE4I9aRfWUsgCCZ jQC0CQfkNExR/6gzqD0VgKhJk+2nkXzBgiz1sIyFy6B9W4/yjbYFHduyKs1iQRjU3HOE+RaE Ko9Tn1yxJ7kibeF1xshPeqKRbji01Ag8H8Z1P1FnmMxRQ9wFVa1jIMVpUdHOshd5bMvUFxaL LLR4mkWCkLUnTbkG2aFg9bUbHujtgDohFDUufQijrmc6CXVHJQLogyTIddmxSbiKLVpgBfie k6/stCk1HRukPE3cyrbtOagaboJAe1IKuU1xmQkzxB9oEoy6TBj6lqTTQ4pwYHlvqLWWMLtw nBSsOLZdXtBEf7cie9ToR3GK7SQnWKyGeslnCwi7e4I8w86tVli3iljkWYRtsSY4y3WXbosY vZ5e0Bz/UY5tYwXKEu3wdpYh6dSnfeDviCO6KWdcmr4e3P7IgcK1PzReCodmOxplTpvdRBVV iUiNOKOQ+mQdrH25yXLCqM1QxixGj+kF+pCp76OESCpWupDW5RyGQkudNlGajK43lIJBYs83 CyWELgsfQXh4zHjfVSakYjfG3jK5L6kVu9CfxM5vQfmO21k8w6wPZJqTUO2TAGoa40tZlmaZ lUpLzrpsegC2mtz1NPG9eNQlsaeeT86OAY3UEXP7VY7GmllgzSxnLqrxmkARy/cEdiIZmneW YGvUAue+h1Qk9wNcOi1eZjZ8rnQccLBrG3mh3SFWWLh7s3UEiMWRhmgnb0kYh/ipoihPGcZZ 7lYT2AcyOufNy5jpxg0iw648nooD6n5MKBHyZYuh5EghplqUNErbALsNEzUnsTwdM2TmlxKP KazZUkhdky4HI/3V0SQN/dF0lW5RYs/hTX3JNjJmReHXskr1ICoqYj740X+F2ofJCURsDfU0 xYtQo4XkszFlkzptfPUwLuAiTCgOXSmna9XTiEu3XpJUzJlNkRVgZwH2zVjzzta1DAwlEAJ4 RzoXLZgg0bPxEntlgf8vEU1h4SEtttK5YnLg84FyEKBCoLOkWFlgn5AlsQsytxAKWsUh2hcV itwkYEUydxoKYijyK4L0KQ30M8f+Qflm7vdmBgnTh3RKghZ/0ePxhH30TlSjBD7aYgLx8crv i1McxnfKLEiZarq9YuYzA8ULqND677SYJF1i1FnLSmtom4dejNcB7nOD1Mes1lcSXx2ScMRL CrpCut26ghK4fp6lAbac6pQQ7Zpi6Y6dSOKEMkd3buVCd6fdgZWk2HK3cmBjwhUFvNKbTxVN muO9okbLkgi7hjI4CdoJkf2JAaIBJQyOaiRk1kC9GDGwLEhQbNohG2HhNNzwKq+DWX5vuiFl 7/O2vUvr48jHXX2ppCyL73wATkkcQ4j0H9L8fm/gOzn0CEmnBHhjcyTO0M9vbBp1JHf0C+dD WYVSFrnm41mFzO2hgu2zUdenVOz8VOPmAArpwmdbvEYCwqdiAeWufK+oI8MF/wChNCaXNMjP BQxe6C+783abDQXtd/UwPPaNETAHXBVhVZp3t0i20y73TrcaWJShd7wqZdp1Iwi5BGh70oD0 herCTIeoj0MxydIkxZtx3jBvlpW2B67qe+jnt3RcBeJJe0mB1uQxywJN49Wh9IQ3P5jN+Hw8 3mn/eX/8N2hB6DB71Wl8UsPOQkxSilYJ23QbqB9uf4JlA460s7KvxrEcV8OULTRSrIvjCn1l TLs0JGVzl2UM27bYNTs15Kh9SDSAMys8nkbboGHLhnJ2ZK961R5up3oBlLu3AQ64FPmSukCS LZ/4w+39BU+SdqdHHChOj50jN3oshh7LTyURvnV62FXbxRpJj+beyFdFeFUJ2cxbtCo44UUf Na6ne4rk1DGI1a26IYNg3AIb9FOZRQ6PTTvH01/JQhjiYunw+vzz85ePiJewy6EAR6VrMSaB cIx76M/0H34yQ5Xqj5D/Q3pOq9QosiCt+ltxHmePqgYmnm0R7aH9Kqd1u4eHstg1NSc9EDp5 AdUTBfl+t0JIyrxMhEIQu75ru8MjH2tmUHrlJ/sd+DaqCYzGpsMecwALXNLeeKtXakBmPese Ppvj54wZjXkZCoJWjzNR+aEmN3FJ6mgSFwa/o0d4Co2hF6NYtDzWcKWy+NR5+f7xx6eX13c/ Xt99fvn6k/8N/GQq95PwK+lSN/1/yp5tOW5cx1/pp60zD1NHUl+9W3lgS1SLad0iSn3Ji8rj dBLXOLHLdmpP/n4BSmqRFGjPVs3FDUC8gCQIgCTgeYY4HzBSpP6K8pgNBPmpbGswgG82mvU1 QS4n0W5cbVONZ1WmhR3XmVXA6mG6s0gn1SkrFnEzotEIVf6bsqYlBJKxLIIF5eh1XjQHzjSP dg9oU75j4bkN69Owuqc0nWdqSYKHOzkf5mNrTIIsoxpl0oAgSOxuDxQYtyLFQP/Onh92rljd iIS56kQ2EbW7Km7K2hJGO7YLPM8EViGr8IpLEpkq8hWXHiJ37Z9Ortq3BWjIZlUly1XobjXX ovuXp4fb37Py9uflwZpuihBkLHQdtmEQMfo1Co1ANrL97HkgtbJluWzzer5c3qwo0m3B20Sg NRysbyJ7nEaa+uB7/rGBoUspH8JIjFwxF14HlyIrU05heCoi1u6j+bL2dY19pIi5OIm83eMV H5EFW6a7xQ2yM8t3bXz21l6wiESwYnMvsgevIxapqPke/3ez2fguUdvT5nmRYnhqb33zOWRU Jz5Gok1rqDfjnsoySLRvL/JdJGSZsjN017tZR3pGLY2FnEXYtrTeQ1nJ3F+sju/QQZVJ5G+C G4ouLw4M6dQ08D2aHxrRarUOKN/aSJyxvBYYlZvF3nJ95PrV5pGqSEXGT20aRvhn3sAYFhTv ikpIDAKQtEWNx+03JIcLGeG/MAfqYLlZt8t5TS0j/C+TmJytPRxOvhd780XuOTrtMF3f7HvF zpGAhVBlq7V/49NLRiPaBI4LBBp1kW+LttrC9IlIv6i2jFgmG5jjchX5q8gjV9qVhM8TRq4U jWQ1/+idvPk7Ba3mGTmlLZKpRjch22yYB/uZBJuYx55Pj4tOz9g/5EgRQ4E0R7jYF+1ifjzE /o5sn7IR0k8wuSpfnpzN6sikN18f1tGR9EAQ1It57afcc0wVKVQuQdij6/X6vSINWlJWKhuJ hadFsGD7kuJGHRVtncJcO8rEfK6p0VRNeu73jXV7/HTa0Tegxi8OQoLCW5xwyt8EN5RjcSQG SVByGLNTWXrLZRj0jvZehbJ2QGPzrES0I/e8K8bYRMXP18vz19u7y2z7fP/lm62+qcDP3Zw1 uhQmwGa8VISKqOOIWanpvTQHUD6Jfm5QplAeCoS0vlmRDtEpUXMK7Xbh5tqiMenarzJU+RJR 4pOTqDyhO3rH2+1m6R3mbXyc6GHH9GqJubRLUJnLOp8vVoQMRfW1LeVmFdAeI4tq4VrJoNXD v2JjxCnoEOLG0y9xDcBgvrApUb8YpoGBqhORY5S2cDUHBvpesLD5UBcyEVvWXRlYr9ydsQhd hohFtrbaY2I3b2H1R3QKCxtVXC58SxoDWOarJQzjZjXB1GXkB9LzraJgn8QgsSf447Sa68/x bewaD+5pbFS+8dkqsApVmSOiw3qpe1ItBBq+k/WI6zRLonKzXLjUz1FVnwJblmxb1kRmBgOd wLK2J7JoKkiM5ndhoq3OdsBWlI2J4HXODuJgN6UHU89aTGOwCsudyxjMTpZSBIB4O+GnqCow ET5x0n5Tln7mB808sKZZZ1FOVk/kCMGtTCWfvL7Rm12WA0FYmp9kB2av5qvOyPNaOVnaT42o 9tfsLfHz7Y/L7K9fX7+CDR/ZRnu8bcMswsgUY9UAUz61sw7SOzl4aZTPhugMFBBFoVGgeit0 4JJNTW9sAvwbizStYNOYIMKiPENlbIIAM23Ht6kwP5FnSZeFCLIsROhljf2EVhUVF7u85Xkk yGAkQ42FfjkeGcBjUKQ53p4xKzvsmBGWHJkzmP0GFMPq9X4ls2g0c7GpdZdJbTrK34fMFZML 78g5NdeNAsvMeLbbQYCJcYE7er+Z030Pz2AvBMZZjQ7t54FeNIPNDVjpKE9ksrbHoMF5Q5Pj 07IhC4rGYz+ybmzjlFYJdKyi+6w6riteI8XklQFBQ3pvRqpKHOzqEeS4PDZgh6tSk8/eqU2s 9bB7OJ1UFFprnDsg6DyYVQtULbqsgeosa/Gp4VZreqyTOz3e3c3OE2g2rHcEvvORY+X0SOuW Gc69+uzrz4OvIEdBgLTaBZDWtRYQtzvZBRhF60VJ6oAP4YOQN4gV8K2J2lOwMOSUqw0phLSb IGQ7J4/iB6S/NPcFXoCg1F8xAHB/rgoDMIcNcALoWmY1QCHe6NShKKKioOwDRNagIM9N0Qjq rpF6Eseg2k+kG23CoORiVQaboZPJeCHcwa5Mhk18smUX6XXF9bkFpeJUL5amLwa71V1xdCxF jhZvkdnzAzMWBI47fGos0RpwNFyCtNRvOKrOrH3DBiW1CLXzbG/v/n64//b9dfZfszSM7GSl 160H3V5hyqTsD/jG+hCj5Xzooddl4/hqxO/rKFga94hGnHXrg6CY3muckKhD5GPKI6p1kzde BmqzWRkuBQu5psPFDjRUmFOtb0SgU6qi7irpmxWpy4Eeo+tRSMqBoZGAJbI8UeyxnxyMmOnb iRE3vX4w4swULVpNBxiGdVrS7N5GK9+jI95orKrCU5hTat5I09+VJvvKjYyM76yM4XtQCGVt pJ4HdQLkLKn+KZNO6yAYl9bbyL7yyTn1UIIsmlwPfoA/20LKyZMVE4MPxWEhCjKonlFgHrVD kiwNVIbZBNByPQHIABQ8vNGvuSG8YscMdCyzBGganiyblJk48QpR09o64Ni/EQzip9mJnIza 1FN1Xfptfh6dc4avGmHLKCrX173B0xZp1LJSmM094AMtidwVeb03cZb+cgUNH5mosE7bA8Oz IzQC7ZZKDopbHpJXORTbymbh+W3DqtpkXPcGV0563mQZmWMacCw1giao4uuSHUxQn4268VdL I2rdtTH2WAnpiDiiRsjw13V54aI/2a8v9496lokrTK8uwRjjYBSmaYEH6p/5h9XCLB6fPjvr tnIPmmwvpnEbErCZJ7tjYkXmFdEY4LuueL6rE4LbQGYlZG8SQT/2wxL7BEuTFsmny9397YNq GZE1Cj9lCzyQopuAml2jjovGYezAlZl79wpsYzp7tyIoLU1lihW0X1nhJXk7U6EaHGNNlCKP eboXudnsLa+Lso1jCyp2W55PwGGCx2VmoWEi4NfZHs8+bq2jdWHR7PR0hQjLWAiT8myzsKyK SOz52dXRUN1gstpZBr4fWDDgRy1wN9t6Sz2cmUKeYUlIafYMZtuuyPF4UndUDbA2ju0+c7xP REW1VciU5XbfeMpB2XJ+UJiN5J+BDSZox7OtqCaLaRdXtCKokGlRicI5cZIirfleq0b9Jnp7 ALs8jaiTA1VLvdrMrRGG5ncLx2Dz/sztoptQJTBzduHIUpi1TvRB8KM6BHa17VwN24YGFRj0 xB4hUVN2BGI+sm1lTbv6KPKEWcXueY6JDWu7ujS0sjooII8sKp4Xh8LmD3LnDQmljNYMhpib hWXAtqrI7WV37qJVGNCKdzPdosX8hRhRxyoXj8sqe26CslILYrzzWtj9ycGSpT0qiAV1gu+d 2JLl6DOHSU05ZxUFz4EZeW02r+Q1S8/5RGSXIM5Qf3XWB+tYncOGrhUE2k3GTmanK7Rkp9Or KsKQUQ4WRIL87Fai8Ul/4u36ptAv3avj4OnKVVHLU5G7mSprzlxyCXA8RX1Gz7SqEE0OmqUF rDJhcmKHdyyY1EX2FdTqaVpUkRmoaB+Lsyp3VAA16OQTkPGW3ARRITmfCEk8GNy5OlknVSNr O+OvDiX42qB+0pakq0vhg/gzr6zWHZkR/kSBhMiK2lq8JwGz2K4Ri0MuOCr8fI5AA7FXcRdW rU30fM4aPIQu4uMQ9cvScVIziKta5rDZBvbDv14BpVSta3Y0UjPENyeoHZpL1VQXe5qIHya6 3VDu9hGg5fPj6+Pd48P0YABL2G+1WhAwCEwjSdsbhdlkV9NzuPBqdnC8GB6E7URv1TNx659d VXm9Aq3RRRKKFk9HUt6f2oyzBvGT8ycE9lEuDRjsPOhP3NmMbtJStPQjoK6oPLd8FAhmVZi0 CZNtEkYGxi7eMmUMHMtzENshb3N+pO7Jd6GP7l/uLg8Ptz8vj79e1Fg8PuFLbWu0hwBz6F8Q 0uJHDOWLXNRKSgv9eEV9api9Jq6oJwwDkNJZGzBRhaTvtg50EVh5Wxy5EwiUHOxDWJNvfhCT SQf68ZNqAFXyFblVo27MbwZWC9gLsBuiZZ2y84fAnP75h9/aKnp8eZ2F1/zj03h7avRX65Pn qUE2qjrhrLSHvoNiWC+w8Lhkkvhm6hhFFCeLU9AKT1qBa615jnbF1zXOHnUX3cE4RRbLlCg8 IV21aixOTeB7STntOiZb8lenvrlGg2IYQfgKUY62FENHf1BQR1safx70HxnVyXTj+29UVm3Y aoUXvCacxbrMsGwDVGUjUxnQtKnSR2QMH25fXmhZq/w9+kbaqMB8md3kOpua6znshP89Ux2q C9BJ+ezL5Qmk4svs8edMhlLM/vr1OtumexQRrYxmP25/D/nmbx9eHmd/XWY/L5cvly//A4Ve jJKSy8PT7Ovj8+zH4/Nldv/z66PZ7p7O5EMPnJ5V6kg0vl1aq1EIq1nMqHB5OlUMClKnJZCF CBm5rpnqZPA3qWvqNDKKKu/GVRFiyeABOtHHJitlUtSuQljKmog64daJipwPPhaykD2rsvfK 6I36FlgcbukxBEHUNttVoPvk1JpS0uk6w8WP22/3P79NX4EowRmFG/NYS0HRVLJmwIgWdvSR Dnag1v8Ib1Goyw8bApmDPhfKD76JwjCIk7IaPXZSB7N8r0q0R7mcm0xRoHbHoh23FQqFUbUZ 8EzJjagKKXBH3QWyfLh9hWX4Y7Z7+HWZpbe/L8/DEs6UhIGx/vH45aLFMlRiRRQwUdKzvQij Y0gfE/VI+oaf6kgiQNnkrpmlMumtvKnEB+BUjHYIv23MWyHGNxinsiocLkCdsmP7hJagjDBi DNLpMhoVR002X+Gm+kQKb54JPRdXDwpWdp9Y1NQNFRdDLTh+kHwiLVO+K2r0griUmukmOizq 8LwOV5Sh1RF1WXnNcYosl4jak+tIDK45vS/oeO3v9+orW8HbLMbMYLLustS55a4AdWt72Llm U2rt83XFQNs9iG1lJ0ZVzS+OrKoEma9Efc3t1ccTTIOqtuxYnOqm4vb8xHO8+GiLrjNQ0mfr qtTPim8n6hBZrWtQxuD/wdI/be2SEwl6NPwxX5Lh3XWSxcpbTKaLyPctjAhmMqRfe3ZrmBWy 85Rep3n5/ffL/R1Yokq2OJSUxBAkeVF2emnIBRVLFHEqYvPBSMUyrMS5p72KwQDDa+9ag2Y4 OhpmVNIJ3B9TGK2C9Lj+2Mw5jnoRbeyy74bCoI+tOn0JCOywm+ZNBqZiHOMJWqAx//J8//T9 8gy9HA0K3SLWleOGzN2mKqtae+u66rAmtDyxYH0yYdmh/9rcpQE6dynIMid2aQWFkpQyblWB TQlM2BYou3rNjU5O/QJIDlpPEKzd+1PP8C7at3uLw+NKW/M3px05JIZwElvQOMtCitpiQNyC +E0thappOYpcGzjcujY+z8PMBnECxCcg2WylvRLitspBUNvADC/RkOp7DJPdhjRMj7ExwoYr z3bhxuF8BzOcVkoMqT/tugaoYoK9tQ044IZbQ9GIeoa4XTMdZceg3yQOuexqhs7D99sTw5yA mfFeYxT7XTV2XH+/CH1s3izrDU1vpMPh/Cd0rsNmi6w3dknf5O72y7fL6+zp+XL3+OPpEWOu 3z3+/Hr/7dfzLeG16r3FRk0Ia5O8fGMHtFZdLzTUJNe4pYF7Xro8JHViTmIAXCeVqRsAgpOZ KJXwmq78rg2TBdnkIZ7PueGqTb8dOLJpGp64GKBLcafkwHky7samXKZG3cBP5AMeFWiFacL5 /UkylFOfS67ZVupnW4dlRsBCTWR1wKr2176f2OBreK1rD7UyMLyHoKVTRxWjekemv+vwTag/ EsVfbRju7PYm0VzKeaA/COsboaLq6NEdOrisoV6/uzx4XW3176fLn2EXwfPp4fKfy/O/o4v2 ayb/9/717vv0FKJnBD76FnPVoeU8sFW3/2/pdrPYw+vl+eft62WWgWk71Um7RmBQlLTOurND A9Pfwx+xVOsclRgTEUzFVh5FbURWz7R5VR4ryT+B1ZcZhmwPltFmvaHCmQ946+0/lNJu0yLc G7V1oMHJvtExyrLphxV+/1tG8I8o3nBRX5uIn08eM2g4GSX6uriCwNpSN7ilNFz+I75bTkY9 IFKKBP8iV4f2aVrHlIhEiuNWGhYvwlgakkafYo2IQQuIzB6E27URJRhAB4zxExmDqlhzNL+M jl3rJtBt2vBYcCtGfofjp3NeUPt+j0/EfH2zCQ+B6STrsXsyCHrfFntsukQtNoMOzZa+1o/I Riah/UEDAyFWMO9dH4WfklCYrErkJ7Mtw0vN0qbM9JuNGc9kLdRcH5vQw1zJPC4/Hp9/y9f7 u7+p+2nXr5tcshg9zRjyl+qILEFTsFeavEImlf2T9TRUriaeI/7KleijcoLm7XxDRh8fyKql nqUZD/vwMGuEqKMtdS2egrXW7RUNo26ghEWqh2VW6G2Fno8c/UjJER0G+U7dD1BdxfxeBN/V h8MVdaI7Cs9Y7Qc3xjzv4Dnsicsb+kpnRyHnq8XyLQLMj0i7Nbs+hdlqTr62HNFLI+6igqsw 6tQ6GLEB9dFqQe3xV+xNcLKGBKGeb0Pt+J8KiHE4sVoSap02K1Sfi8FqJKYEWLgZhnjyKUSP XXqn07Tn5XJ5zRPp/raP12sBrdcRY68csRSvBCsyxYxC9ylm7M7T8T8VaoxVbjZwGwUbjxjr er68oYR0Nyvt9yDdqF6D3erQOmQYxNGirdNweePrT8y7IoiMJxrCkWl6oMDovm/N6eV/rOrw Vc3qxp5yQs79OJ37N9OJ0KOsV0iWAFFni3893P/8+1/+H0otq3bbWZ9A8NdPjDhGXJGZ/Wu8 nvTHRARt0QtKa+AK3+XOcHU+S08V31mdxwBk9lipPBnjTZHp+n+TwavATAralUnEDTVYWs6n 60Pusrlvho64Mrl+vv/2zdCZ9VsQ9m4xXI4YnmtYjeuxBewKSUFf2zAIwcakDvcMmqyOJh0a cAlnVb3l5ImsQUi+qDQoQjM6HE3EwPw9iJoy8g06M6+N2eX+Es14U+T+6fX2r4fLy+y1G4px XueX16/3aHz0tuvsXzhir7fPYNr+QQ+YOgCR+LLfUX/IYOSYc+hKO3EkRZTz2gguaZWAjxCm 8/3KQ3SsEDV0poLYYlix88AbWNm3f/96wv6/PD5cZi9Pl8vdd/19hoNiKLWqw7Z7PH9tDYKU bkOOd4TZyuhrUoDaNvH0bpQ85yEGENCf1xwV1HCg9J87KgVUmxUH3gdSIBjUEw1xOo1LhD0O 1oP97GSIwmG2/cr05jSc0F3bjidyqX4Om0SLxXrjTa689XC9kyKDMmUoRJuSd2aS2l/tzVRO QBjQQ1GqOBWdZgmarpSWD9VsLwj1tjDvk+qYnKxCo1AqMOV6MtUi+NmGgnqggJgyqg7oGxPV J/ujCIN+dijHx4zrJzMAgC0lLOTcLgldSG/434ACFujJLKqsGv2BG4KyeBVoIYAOMZ7DQeti begRaP6C+SlgHjQW1LDgBgiYcqwkwCKvTxY4Q4HyYwIa3vBeMdC+dnsulWXCcpgQmlmCz6C1 12ca1My30UEwGxot8g9RSdsQB3XVwP6uv0J59/z48vj1dZb8fro8/3mYfft1AVNQv7s6JMN5 h/Tqcq74uTsWHd3NHajlkkzSXrNdF+BjWECVkFmADqqRgSHGW9XGqvtt3165QrvNSskd8Rkj PH8IvMXmDTJQHHVKLXlzT5wJGQ6jRK/Jjk5IRpGZRDibhhG3uthuguXSdH/0CBbBf/6Psitr bltH1n/FlaeZqpwTa7V8q/IAgZTEiJsJarFfWIqsOKrYUkqSa07m1180QJBYGkrmJY76a4IA iKUb6MXNoaujBAru3Or6kwtbjvgIgyeFBMKJBsJy+YZ6iBIH7l6vcLf7mwr3Op50FC6nFdTg CufaE2Og4YzhIw27t5jabTLdrXtY8wU26gz7Puy+o0fLcrAR2ilLQDt3HUyvt5n0M3YH613B sCrX2NBbZmVF4VJokscUMP6ZPcl5Dc6cdntD+xDW5hj2/qyoqIu1pQF7bmP4rzKkV9oTEHY7 uv72oOwZgYQU+TEVZ4qdW2S6TPnyM8sDd1ng++G6j9Qjork8Bbs2jAPyINJmQggjf32/FD10 RZpD2rGFMO91uknY9/O+GGJ1a9BrdauZUHtRgyUJCPO+JLlaQBL2sS+RgHXug0NOo2o46N4h 7xLI9RUDWPDjQ43h7tb98pwek3FO0U+Qis3EuPM1kARBijIYdLEllQ27WJC9ZgfUzUHat3Ch hCaBgwhrFM8eF5T3o4675qfiKUi3iVSOIwFqY2jgYJuHVYVDLJrqdu01tkzmI2y+8W3YXRlg b3akDbFhMyPilZof8i9X5P5oUfN+eU+vY+QiW4hoaXrGjzIede67WMA/DoGW+Wb+rmjxmJdc X6BJ7sPKeeTFVqEJwdtDu0Z8gxmj6YVGd53uwuAedUajEJd5i5INrC24FXvL4RC1WBeA1tsy DNDA0AhroVTmyHDEZnJ4Ph33z7p4rEhuEf68xFNWTfIpgZCBmEaURuyRsZwY9qAJyPLCPCsN 0xLrwTm7u9UvAZX0Da8pdH9DBRj2CYooj51csi56tsQsh6MqF7H8nBUZrAkdYmP9imgOMrpr AGaUzseYbs4/dhfNQL8NDWMibbHrKK7IOmIi9B/SheK+U9g9hka0zlkC9zlQI2Y7xjU8cz6X bz0uGQ8xehSwEk7Db8bP2jozDpdh3N6JSyjq8l0rsR+QVFNtMhC8RD2CGWQF48OBRb3hnZNw vM7tDjz43R9EH1Z+SpjTXvtVsziYROixxQyCDtFYu7bkP0Cj5mNsvtC0csUIAU34FAmNZRny 8piFNLQmb7qxemrgfX80QB+0UnNrCIsGvX7HCw28UKdv7Roa5rm/MpnQaFcaCw1oeHeLtxWw ++4Ax5gIaklzayNuXi2zouE15Hid1vl65ezk2zq0SlD6kuLfpk0yjNVWJttNEvQAVy+Fr63t AXd0eNkd9tsbdqSIe4QK8kun2lUJgjV2Cx6sOzBOeW0Y/cA208hT/rpzayYnNMFRD1+lFFdJ F9At6MEs2jnaQrlieZSCtYGzXNPX4/YHf+79tMUsn+CGpso0x35JyYtsHLqtVMGqLDLfN6WL kdOmzOOWK8wVwAWoyqNy2B+jjUarrt6dkCgeZ8ZtYbMYJjNM+gI3wYJUyTjTs2PLYpTlk6o+ nF3WQbXaNgmiL39XsXs7XnY/T8et28tFCEEGeJ9qRkEtja8M4prE6bxlvqgK4EB7B3mhrMjP t/MLUoc8YXpqbPgpDrZtWmoYdEqaCFQ4FU4hnICJkYJNO0RVlTQq0+x7EAFuFQl7f3mBc3w/ PK/2p50WSFoCvPH/Yr/Ol93bTXa4od/3P/8Nlzfb/Tc+GwLTy4q8vR5f5CQxzEqUyIjAMtLk 6bh53h7ffA+iuPSYXeefJqfd7rzdvO5uHo6n6MFXyO9Y5SXf38naV4CDCTA8wK3gTby/7CQ6 ft+/wq1g00nOSICEPLoNAPyEgGLirKXI4ri+s63f++dvEBV6eN+88r7ydiaKa1J8BquMM7vW +9f94R+nzFa+jNI1360W6EzBHm4uBv9ogGlrjBC1JkWIXc+E65K2G1r4z2V7PCifbcerXzJX E0a4CGRsGzUC18Pel4Do1Ovp6nFLV1mV7QL91ho1Qy0hvNnkMh10dL/dml6Uo/u7HnHoLBkM 9MxRNVm5cTn8HOAfHYx/zWOShC+RxSO+Z6Jdk5aaLM5/VIluAQ2EKDAMyoEk7XFLNNUH4Hxj nXLtb2qWXGZZbFLysJg4b7f2FfEkXL2bMSOWSQj6jRo4/Ged/cAdNcBKyX0HEs+YBZQs6vRH Jm1C5qFR6nFzesasDZdJBPxctBk4cw8edAax9mQorFpQq2RNquQ/QE4wXVKA6DMaBoyUSRhX s5iCF9hKU8FasKRj8yXBipp8ExZXk9J6OEqmFuGBDbu3xCTa0iTQhLFbz+QTlmOjgdrO4PIW shq65u4cAalH7wPCa4de0Uaj7kDLMwZ3mkLnoyLPBSo+WrfG7e15xgcw41MtjrIoLVHTDcUy K/PIMEnQkCU6SxqGnM6qXE/PYSBJnf9HibR2JzUNzQmdV4arpzjTqUq4IzAT9YLbrbZtGQmA ARsXNGF80vFfFA19LdkikYRounILgIQvjpmXdDCcPd6w969nsXe0X7i+cq89UF1inQfIcoEV foDTxD5wUc2nkAEzJcLb1ywZSoRoehC8p8yKwjDp0UH7jTrGorAosGN7g4nES+MCBkCYW1Gy HiUPUDdPCRA6N9babZWhBrC/gHxNqu4oTYTLstm8BoKuMbslIXk+y9KwSoJkONRTBQKa0TDO SjCeCEKmyzvmd9WqCmdr1MzlrDYqavhfJ9SJtqQhcd76qO5O4KK6OfCl9e142F+OJ8wU4Bpb M46J6XdoXAPBb7nOTli1KvBIi4JpvoDgTI6Dex9MhwzvEP1IVi1kaVBknmhb7nFtQLDLhZRv J9qmIX4224ZJhLMzFhAjVEsdQ7sKQbFKnCk7W91cTpstxBdxVmamJ/vlP0AFLrNqTJi+oLUA JGcxVF6AvNGLOcaVnoLCDV7KMt1JR8MaQ0W9TXJtMsP0tsHK3BY1h6q5nvanVn7zolIBUfyQ 5XANBVXJtFCMdJlboJ0trmaEWDpPoYPW0npeiITdizzWjxREeUU4tUJNZxMdwY6QAQ0mZh6I mlZNUK+NBiaTBfqYL2LaBE3iJi5/eWPWQn2S5j6ai5qjhoHPGwmmd/ddw84SyLbkb4D2uVpr MYS8rRlkUaapfPALNljLwJ/FUSLF0HZQc5LU/mlZ4KmyhDMm9ebyUTfW7Rfm4/1hQYLATD/W nghxiY5vOjlE0cC62TppEhc0IpxFgLp6ifsbda+gzBxNaVYmOtqDWahY9E35VoY+57I0gxR7 uKTLsSgzrNi4atOV7u+6Fgakak3KEiuE4z33kZ54ccYg1RvFv4DiYiFdFLjdMWfpu2X3/6js /p+UbVmGCVq7mWii3Jdx0DV/Ofl0WJWMKaEz8xIzjHjfg9s3fsnxxQ+tHUiJZRPWNWIUjEv5 BpfSdpM++BqUV5bLrDAVpp5ealiLBdeQCe+Zx7prfpksVm9IImG88aVNhdLCCcQfkUnVWr02 imXTsLHaVU1sFzQgQa6Iq0/IgWuslF2rb648rAaQ9p27Tcfp27t8QFgKRumXkNpZB1SBcCkL 8Ynw/eCJC36ynfq40j9iM1JBF9f5FKX2k5UJ2NrXR3FYARClnsxUrOLyMlzNRx5zYs4Bn6zE jzYC17RbW2sF5ijcbdHkytMPi6zEpHxBB2tgccAr1vMJ0VPiCAZaar0GES4nrG9MFUmzgk5M FhC/HZ+XGe8FyOo6cY3o6Wb7fWeswxMmlgT8okByS/bgLy76fQqWgVjSkRU9Ytk91wc8kXiC JmyGKhwvUNr6Z+zThJSfwjX8m5bWK5uPUhodlTD+nEFZ2izwW9nLQh7aHEIk9Ht3GB5lcIwP 4Vo+7M/H0Whw/1fngz4kWtZFOcHsJ0X1K3MOeN7wfvk2+tAeZzlLiSD5k9oJuFihX/FqZ0p9 6bx7fz7efMO/q7hLQT+qvGWZRXHA9eO2kfOwSPVGW3pGmeTOT2wFkYCzOEoyn7FBiJrtzhZT PuPG+itqUiW+tu7YPKmTKhjX7vCnnW9KV3S7SJexmHRB4S0twwTrKr4KrLJirnNpmlds/lAD xBh4GqxGbsVHrjFIdOyuh2dPMpnuMMsig2Wkn1BbSNestoYMvMidDxneehEj6ouFYbb4FkvP W3Df17Th4Morcbtyi+n+90z3PcxO0WQZ+HrlXrc2N5H+vb/yd7g9BjDxBRwGW4UtZUYhna7p 1WqDWPwj4BG+SWal1Ts7OLmLk3s4uY+TBzh5aHasIt/ZfacA/wdtGoE5GRsMfV/hHd88nGfR qCrsxwQVu4wHMCG04lurHkhdkWkI8QTM/pB0Lp0szFBNDVZkpLSS6bpMj0UUxxEeOUQxTUlo sdgMRRjO3VpHFOJbBljlonQR4aYQRk/8rvpcKZ7jllzAAdt722dc+6IyfnR7EChJVZpB5uvo SeZ1Vr6C2B1EVq0e9P3FUJPlFf1u+37aX365Ho+QSkjfbR9BXXlYQJRMqd61B7IyVjz/uMBW cNFa33ghE0QYqOJa1VRK2TWCGweGj1Uwg2y+Mg2Nn0uIzRF1uZRsUKsv4KDHxOVAWUTUPACs WVARRNjPcSEqCNMwEPI7pIyuRG4wOwapw4aL+lxJAV1Anh2ih468NVQUAmGLZMo//SgTgcEv d/b5w6fz1/3h0/t5d4JYwH99373+3J2arV2JhW2fEP3OhyWfP4DlzvPxP4ePvzZvm4+vx83z z/3h43nzbccruH/+uD9cdi8waj5+/fntgxxI893psHsVSaZ3BzjRbAeUFkDlZn/YX/ab1/1/ RYSudrRRKtIggBZSLUkh0wy0bsbXuETwN82qKYJAm3AJlWapMX80iH85VbpHVTNY4RV+Pj4J ZZa41u8btUOTrHCuanqIt2eAeB8p2N/FjT2EPZubU9uskAqx7l4gDNDVBTM9/fp5Od5sIcD7 8XQjB432faS1OomnRrJCg9x16SEJUKLLyuY0ymf6ELcA95EZxLPBiC5robtMtjSUsZGLnYp7 a6IQu3OreZ673JzolgAHIi6r4/9q0t0HzBAVJneTRsM6uaq5ppNOdwSZM+3H00UcO9xANIKg 1PRc/MWOkms/CfiDDIpFOQtT6tBNC4yaGKbTKG1MI/L3r6/77V8/dr9utmIQv0CS01/O2C2Y cVRfUwNsO1bvoW6FQhq4gy6kRYCWzhI8sqbqjEWxDLuDQceQ+uQV3fvl++5w2W83l93zTXgQ TeNz+uY/+8v3G3I+H7d7AQWby8ZpK9UDSKrvi9DojG/lpHubZ/Fjp3c7QCbrNGKQHd2ZluFD tEQ6Ykb4QrdUdyhjYQQK29DZreOYIuOHTlD/nxos3alAkaEc0jFSdGwfXZhwNsFzyjQDe4wJ lTW6Lp2VFSSTVUFypCYEEhCVC+zKQ7WAsbYXZ5vzd18nJsQdozNJtN+6tlpg40v+mDMOg/3L 7nxx31vQXtd9syA71PV6ZoQeq8njmMzD7thhl3T3q/LCy85tEE3cpQstXxvUdlOTAPXFVqA7 D5KIj2xhB0GRaV4kQQcNKabhZkyrFugOPA7kDUevi/oG1PNwRjru5ORzejDEyIMOsvXOSA+p G0swRVOBJRdjxtkU6YxyWnTusfMS5fGWy0pIsUOE13bHNQkZNm9CVvl8dGuOdDGO0GACNV7Q PlJnLhutbCcbZ2UiSciVT9RBVnFIdzPDv0HDsJEI9KsDIAivNGci/iLFzmfkieCOdOoLkpiR ayNL7Q3I0q/nvG+IRW6YLzWjqI9Ur0RThyhwlcG3cGUBSW97WI6g49vP0+58NtUJ1XeT2Dx3 rXeCp8yp6KjfRQZG/HRloeDgjDoFPbGyiZFYbA7Px7eb9P3t6+50M90ddidb8VHjFgL85oVu qaoaUYynIiCJ0wyBzLAdQCKYfCwQbB8FwCF+iUBHCsFEL390UBA2bT8LCxKV8Pdgw+YV/xsO rGt0kM+kpStXNxyoKtKgYSoE42wM1j3IgAF1292QoG1cr5vYStTr/utpwxW50/H9sj8guzb4 /5LQLVDQ5QrlAvW2qMwR0Yd9W6dwOBbz+erjkgWbBgCiwqrLF3gaprZjLohDNvXuNZZrlWy2 dU81LZH2emU9O+Vs5c6PcFkbLUddTAZoca42+F/assGrb/uoTsJ50ojPuXVF03TgjZXQckfJ FAJtXJ9swEhnYcwid/UDrHEAciGIoLumYYzMdFEq5dLAb9qciFTV1XTtK0TjuHIHSdhjkkD6 SSpO/iDEt3v/vDtdwAOE60dnEVryvH85bC7vp93N9vtu+2N/eNGvHuVNGcwdCCDImlNM/Lb6 D8qWgRe9i0BBomBY5VrIDEWpxlwH5gt6oR1Px1zVJQVnSaf6xAIzayMQ1JgPmBACSGirl7Jc TiF/QRnFpkyVFQF6Tg55mUWSmrERjkIewpLYLV7E+zItqBRkkUW+UzAqoEm+prOpsMUoQkOi p3w4RaVx/EI7Q5PD1QP4q8pFZT7Vsw4oOAE9LrdZ4oiG40c8UILBgssGgoEUKyl5WE+OI/xw hA77Rt3NX1riHkg4I5UvbQ5T7eag1rY0a48gKrUVVbO3TYMs8fRJzcOlosZWp30FUMH806Y/ wZLKN0RT6HqSu4JF5TIYUjJQtZI1bi5qofx9vCZcCKvcYgQZK3/9VAV6igj5u1qPhg5NmJLn Rk/WSESG+L1njZMCj0fbwuWMzzrkM9QcEN/CreSYfnFophF42+Jq+hTlKDDmQBdF4qeEeIDM nfH6pYgaaFxhqLhklRmKkU6F6yB9jhsYf6OOjamm6gt7pyWJK9BHtV4gRUEepVWvNhMYy2jE l7FlWAmGFoJrBb5W6ebrkgTWZJWxhgE90HskhcqCiT1nE5KibkwNCx5gJAiKqqyGfb4AaJ3J Ed68mBRgWz4TonaLslWUlfHYZKeJET0HSHlY8NVaQO75ze7b5v31ArFTL/uXd8he+CavGTan 3YbvXv/d/Z8mn/JSRGi/ZPzIh9DnztBB+MvgHheMXDp65D+FMzglEU/j66fO15aFrYlGiZFh RmhiqDMCsJA4mqYJ9OlI70KQ+C1DTYNcsandxfBpm80Zu66bxnLka8s2OIAbIyd40DfPODMO KeH3tZU4jWsbJVV8/FSVxIyHUDyAdIwZciZ5ZAQvCqJEhsxtd5VJoA29LAqEuT4rCy2tl7gH VRN9GTBk+k/DEuIMZJNAn14MPHAyrfXibi0I80wf7nxqGP0Ft7TptOkU3Qjcka7seghVis3i IOq5lazBwgvG10AuuwT6ZZeOLRrQvBVVQqeg/jztD5cfNxvelOe33fnFvXyn0s8EIgiJEDTN ndSdl+NhEYXl537zwWUsXbeEhoML0uOMyzFVWBQpSaSsUnevt4bNkcv+dffXZf9WS71nwbqV 9JPWnnYSiYkFyjJmZlzw91crUqRG6FH4/jn/UOBElJiBDbg2LzR2wvAtdcYZuPTKX8hHGjoj 6pkuTZTBuC4hRmYfGxHVU2l0jTImGbj/qMRZctGpevrBts63CskcFr7GE1QpFn/aqTKOExwl 7bdqgAW7r+8vIvVydDhfTu9vu8NF91YhUxnoo3hoK6URm/toeQ7y+fafjmZ3qPExPtBRT0yV HtNYN2uaWBhX1bXPAGanEZN8CficXCkHrvV9Nhpiu51PA2NZhN/IA4IXNvPFmJHaqh+2FBIb GqpAfe+bU3gUBKJIebCqcFp/8oHMTgCLVlPFlnQw/HT29dpWoCm3/djCPi5cl2HKIl3ekoUB am1UFqAOw5xrcFFwtkr1UzpBy7OIZamhjcoyszG4ADAPuV3YPfjEkOlMTASzQYabwsEOFrfQ N9gKuhBrhXdkKkYQVfKF6xBlclldp80iFi/G8hjRN5bqQcBl0JgvEW7LFHKlVdJiZeEJos7o DKRqwROmgfTesFuyTNw3LxNxN+ha8NtcBX6D2uD5lCuBU09QfjnWRdQIYSxzhatePkEq+013 itaCq8KELx1uywwYEyKlwdGcwDR3DyUlCkMN5JQ0a9cQLu1L/dI27mknrFOXmRUAoJbfOf9N dvx5/ngTH7c/3n/KbWG2ObyYBvREhGziW1SGdoqBg2Pcgq/zJigEt0X5WRPrWTYp4YxmkfNa lnyMoynWJFTNFrwXSsKMQSU3lgZqXtLpNm+HYItcsyWJxiZqpCl9Ppa6JR3FuHpow343T4vc 3rIZpifhtb6V9pF8J35+F1m+tJW2NbhCYPu7QoPnYZhbJ4rykBDMI9q94V/nn/sDmEzwCr29 X3b/7Ph/dpft33//recCyVRONBEys45ppQ/uvIAsE9f8nEQZsBx5Fz5QexdluA6d5VtFK7Pp LbvVA6uVxPgimK3ARtH/0hUzfBbqKIyZtMPLjOAUQn9wX1YD3leQMktAnonDMMdeBF0qbqSa HBzGOyFOAzi3Vo1GogZe00i/DsfoxPs8ZYF8wYpEJXYArjSf/2HIGNpWWUi3sLbGINCCeeMi hStdvjfIE8ErC+9cbnTezq1xLp/znYo1Jlpyov2QotDz5rK5ARlo+/+FXUuP3DAI/k2tqt6z eTTW5LVJptrtZdTDaNVDVamt+vvLB3ZibDx7HCAe4wdgMBhe88hK9XPgNsP6WwB+pPmsIjSC ksvB6r0IVtnTran2Cm7w9boceYpKNBR6rNuvVxq7aSe7+KgBRFaFZZmpqT99XWSCoL6JBS9/ gdTR0ldQjXzsOYTtxw+q1XQlANg+G6lfcRf5yvTtC76FAnZzEw+YZjmTAM/+9LOWX2ESSknb JPMVMaGCl57Y60kdDKLA9zYUkSmZAsfRjBmPjDeNJdaW3qZBtXlIjS4MnWqAgbeRbUOaGARW EhJUoeH5AOWCKj5bQlH7D6WVSHVx27WWtwAWRL90xpI9KJ4dC3MBhC0blbTwcJT7zaC+8uCg X5/ySPkVZ0J6xPnWy7jvr4/QzfIe+tapci05zdNc93lO6s8fpNytPcnjiydxYJlaI9pW6/Aq 71Zbnj9Es4IHKCZFqXN95WtsEMuDKWNn68sG+JZWuD5Z9Xr3VoxfSZZtKBZjqo9kHGIv1X7/ 8xcqBSZQ/evf/ff3t3uUD4J6AOpYzQUCjP9S+FTNCbR9kWkr6Ekh4g2TvoIVpDm8VvN6Jplb XqUHaeiVG7ahstwCQMmxNrE4kuaO/I6YwsEbfWlDpkyCoiUaBHKxVcuRIu3i6WRp9n1eI42P ZFB1Yj38Hpd6jm/wymGGjjAE9ttCR7lAbykHklcIGGOqpAr8pCqyDJdmt266ilGOePs2x9UR GD66iV86ixtixJaUbw0a/WAX5leqE58QHUqBcYhJo1RQKVvB3hNQWLpiXn7+FHut4/737Utz jZ8KEK7E0y1pPGq9B/RWFzKJmOBCFPtshUEYzRKpy8ZS/O2lj65X12SfSGCt3BHrLK0pVkSn d7hJSn+sw9cMck2VQIbLmIwhcYNqDxr4dZRdrKF874v3btLE0qUQXArpZ/bpqOr2nZsa/KUd FdIsd24dydi2GKYWuH5+Ll7X1teVOuWopdXJsNgHLWvDvuOrLKYQVndKyuokaKyHPSAOtmT/ yBg3LZ4czJcyJ64Vk/5k97djXdGyLa0Qlm5ucpnUaEcDyhlXkOhqYxFtzrjOtLIVYpaOJbGd /5tALxe83wEA --Kj7319i9nmIyA2yE--