From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============1704385479371000790==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: [sashal-linux-stable:5.10-rc1-stable 97/270] drivers/md/dm-raid.c:3739:33: warning: comparison of distinct pointer types ('typeof (__x) (aka 'int and 'typeof (__y) (aka 'unsigned int Date: Wed, 28 Oct 2020 09:39:28 +0800 Message-ID: <202010280925.s8lofmo4-lkp@intel.com> List-Id: --===============1704385479371000790== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable tree: https://git.kernel.org/pub/scm/linux/kernel/git/sashal/linux-stable= .git 5.10-rc1-stable head: ba1964363ead76c9846ef8b4d3834dfdc051ddc0 commit: f04bb9f4a5b660706c0eb9f145681d1d7fb327b1 [97/270] dm raid: fix disc= ard limits for raid1 and raid10 config: powerpc64-randconfig-r001-20201026 (attached as .config) compiler: clang version 12.0.0 (https://github.com/llvm/llvm-project 50dfa1= 9cc799ae7cddd39a95dbfce675a12672ad) reproduce (this is a W=3D1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install powerpc64 cross compiling tool for clang build # apt-get install binutils-powerpc64-linux-gnu # https://git.kernel.org/pub/scm/linux/kernel/git/sashal/linux-stab= le.git/commit/?id=3Df04bb9f4a5b660706c0eb9f145681d1d7fb327b1 git remote add sashal-linux-stable https://git.kernel.org/pub/scm/l= inux/kernel/git/sashal/linux-stable.git git fetch --no-tags sashal-linux-stable 5.10-rc1-stable git checkout f04bb9f4a5b660706c0eb9f145681d1d7fb327b1 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dclang make.cross ARCH= =3Dpowerpc64 = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): arch/powerpc/include/asm/io-defs.h:45:1: warning: performing pointer ari= thmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] DEF_PCI_AC_NORET(insw, (unsigned long p, void *b, unsigned long c), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ arch/powerpc/include/asm/io.h:601:3: note: expanded from macro 'DEF_PCI_= AC_NORET' __do_##name al; \ ^~~~~~~~~~~~~~ :216:1: note: expanded from here __do_insw ^ arch/powerpc/include/asm/io.h:542:56: note: expanded from macro '__do_in= sw' #define __do_insw(p, b, n) readsw((PCI_IO_ADDR)_IO_BASE+(p), (b), (= n)) ~~~~~~~~~~~~~~~~~~~~~^ In file included from drivers/md/dm-raid.c:11: In file included from drivers/md/md.h:11: In file included from include/linux/blkdev.h:13: In file included from include/linux/pagemap.h:11: In file included from include/linux/highmem.h:10: In file included from include/linux/hardirq.h:10: In file included from arch/powerpc/include/asm/hardirq.h:6: In file included from include/linux/irq.h:20: In file included from include/linux/io.h:13: In file included from arch/powerpc/include/asm/io.h:604: arch/powerpc/include/asm/io-defs.h:47:1: warning: performing pointer ari= thmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] DEF_PCI_AC_NORET(insl, (unsigned long p, void *b, unsigned long c), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ arch/powerpc/include/asm/io.h:601:3: note: expanded from macro 'DEF_PCI_= AC_NORET' __do_##name al; \ ^~~~~~~~~~~~~~ :218:1: note: expanded from here __do_insl ^ arch/powerpc/include/asm/io.h:543:56: note: expanded from macro '__do_in= sl' #define __do_insl(p, b, n) readsl((PCI_IO_ADDR)_IO_BASE+(p), (b), (= n)) ~~~~~~~~~~~~~~~~~~~~~^ In file included from drivers/md/dm-raid.c:11: In file included from drivers/md/md.h:11: In file included from include/linux/blkdev.h:13: In file included from include/linux/pagemap.h:11: In file included from include/linux/highmem.h:10: In file included from include/linux/hardirq.h:10: In file included from arch/powerpc/include/asm/hardirq.h:6: In file included from include/linux/irq.h:20: In file included from include/linux/io.h:13: In file included from arch/powerpc/include/asm/io.h:604: arch/powerpc/include/asm/io-defs.h:49:1: warning: performing pointer ari= thmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] DEF_PCI_AC_NORET(outsb, (unsigned long p, const void *b, unsigned long c= ), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~= ~~ arch/powerpc/include/asm/io.h:601:3: note: expanded from macro 'DEF_PCI_= AC_NORET' __do_##name al; \ ^~~~~~~~~~~~~~ :220:1: note: expanded from here __do_outsb ^ arch/powerpc/include/asm/io.h:544:58: note: expanded from macro '__do_ou= tsb' #define __do_outsb(p, b, n) writesb((PCI_IO_ADDR)_IO_BASE+(p),(b),(n= )) ~~~~~~~~~~~~~~~~~~~~~^ In file included from drivers/md/dm-raid.c:11: In file included from drivers/md/md.h:11: In file included from include/linux/blkdev.h:13: In file included from include/linux/pagemap.h:11: In file included from include/linux/highmem.h:10: In file included from include/linux/hardirq.h:10: In file included from arch/powerpc/include/asm/hardirq.h:6: In file included from include/linux/irq.h:20: In file included from include/linux/io.h:13: In file included from arch/powerpc/include/asm/io.h:604: arch/powerpc/include/asm/io-defs.h:51:1: warning: performing pointer ari= thmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] DEF_PCI_AC_NORET(outsw, (unsigned long p, const void *b, unsigned long c= ), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~= ~~ arch/powerpc/include/asm/io.h:601:3: note: expanded from macro 'DEF_PCI_= AC_NORET' __do_##name al; \ ^~~~~~~~~~~~~~ :222:1: note: expanded from here __do_outsw ^ arch/powerpc/include/asm/io.h:545:58: note: expanded from macro '__do_ou= tsw' #define __do_outsw(p, b, n) writesw((PCI_IO_ADDR)_IO_BASE+(p),(b),(n= )) ~~~~~~~~~~~~~~~~~~~~~^ In file included from drivers/md/dm-raid.c:11: In file included from drivers/md/md.h:11: In file included from include/linux/blkdev.h:13: In file included from include/linux/pagemap.h:11: In file included from include/linux/highmem.h:10: In file included from include/linux/hardirq.h:10: In file included from arch/powerpc/include/asm/hardirq.h:6: In file included from include/linux/irq.h:20: In file included from include/linux/io.h:13: In file included from arch/powerpc/include/asm/io.h:604: arch/powerpc/include/asm/io-defs.h:53:1: warning: performing pointer ari= thmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] DEF_PCI_AC_NORET(outsl, (unsigned long p, const void *b, unsigned long c= ), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~= ~~ arch/powerpc/include/asm/io.h:601:3: note: expanded from macro 'DEF_PCI_= AC_NORET' __do_##name al; \ ^~~~~~~~~~~~~~ :224:1: note: expanded from here __do_outsl ^ arch/powerpc/include/asm/io.h:546:58: note: expanded from macro '__do_ou= tsl' #define __do_outsl(p, b, n) writesl((PCI_IO_ADDR)_IO_BASE+(p),(b),(n= )) ~~~~~~~~~~~~~~~~~~~~~^ >> drivers/md/dm-raid.c:3739:33: warning: comparison of distinct pointer ty= pes ('typeof (__x) *' (aka 'int *') and 'typeof (__y) *' (aka 'unsigned int= *')) [-Wcompare-distinct-pointer-types] limits->max_discard_sectors =3D min_not_zero(rs->md.chun= k_sectors, ^~~~~~~~~~~~~~~~~~~~~~~~~~= ~~~~~~~~ include/linux/kernel.h:916:39: note: expanded from macro 'min_not_zero' __x =3D=3D 0 ? __y : ((__y =3D=3D 0) ? __x : min(__x, __y)); }) ^~~~~~~~~~~~~ include/linux/kernel.h:883:19: note: expanded from macro 'min' #define min(x, y) __careful_cmp(x, y, <) ^~~~~~~~~~~~~~~~~~~~~~ include/linux/kernel.h:874:24: note: expanded from macro '__careful_cmp' __builtin_choose_expr(__safe_cmp(x, y), \ ^~~~~~~~~~~~~~~~ include/linux/kernel.h:864:4: note: expanded from macro '__safe_cmp' (__typecheck(x, y) && __no_side_effects(x, y)) ^~~~~~~~~~~~~~~~~ include/linux/kernel.h:850:29: note: expanded from macro '__typecheck' (!!(sizeof((typeof(x) *)1 =3D=3D (typeof(y) *)1))) ~~~~~~~~~~~~~~ ^ ~~~~~~~~~~~~~~ 13 warnings generated. vim +3739 drivers/md/dm-raid.c 3723 = 3724 static void raid_io_hints(struct dm_target *ti, struct queue_limits = *limits) 3725 { 3726 struct raid_set *rs =3D ti->private; 3727 unsigned int chunk_size_bytes =3D to_bytes(rs->md.chunk_sectors); 3728 = 3729 blk_limits_io_min(limits, chunk_size_bytes); 3730 blk_limits_io_opt(limits, chunk_size_bytes * mddev_data_stripes(rs)= ); 3731 = 3732 /* 3733 * RAID10 personality requires bio splitting, 3734 * RAID0/1/4/5/6 don't and process large discard bios properly. 3735 */ 3736 if (rs_is_raid10(rs)) { 3737 limits->discard_granularity =3D max(chunk_size_bytes, 3738 limits->discard_granularity); > 3739 limits->max_discard_sectors =3D min_not_zero(rs->md.chunk_sectors, 3740 limits->max_discard_sectors); 3741 } 3742 } 3743 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============1704385479371000790== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICOW8mF8AAy5jb25maWcAjFxdd9s2k77vr9BJb969aGM7idPsHl+AJCihIgkGACXbNziKrCTe 2lZWltvm3+8M+AWQQyU5pz3izBCfg5lnBkP/+suvM/Zy3D9ujvfbzcPD99mX3dPusDnu7maf7x92 /zNL5KyQZsYTYX4H4ez+6eXf19/2/+wO37azd79/+P1sttwdnnYPs3j/9Pn+ywu8fL9/+uXXX2JZ pGJu49iuuNJCFtbwa3P1avuwefoy+3t3eAa52fnF72fQxn++3B//+/Vr+P/j/eGwP7x+ePj70X47 7P93tz3O3p3dfd6cf9hu33/4sNm9397d3b35sPnw7u7T5+3u8v27zfnF5fuLzd1/vWp7nffdXp21 xCwZ00BOaBtnrJhfffcEgZhlSU9yEt3r5xdn8M9rY8G0ZTq3c2mk91LIsLIyZWVIvigyUfCeJdRH u5Zq2VOiSmSJETm3hkUZt1oqrymzUJzBsItUwv9AROOrsA2/zuZuSx9mz7vjy7d+YyIll7ywsC86 L72OC2EsL1aWKVgIkQtz9eYCWmmHLPNSQO+GazO7f5497Y/YcLdyMmZZu0qvXlFkyyp/jdy0rGaZ 8eQXbMXtkquCZ3Z+K7zhkcSEp6zKjBu710pLXkhtCpbzq1f/edo/7Xot0WuGrXST0zd6JcqYmFcp tbi2+ceKV94m+VR8OTaZ39yamXhhHddvsl9LJbW2Oc+lurHMGBYvSLlK80xEJItVcDCJ8boFZAq6 dxI4NpZlrUaAcs2eXz49f38+7h57jZjzgisRO93TC7nuJzrk2IyveEbzRfEnjw3uP8mOF/7OISWR ORNFSNMiDwmpVDFPGjUX/mHVJVOaoxDdYcKjap5qtzG7p7vZ/vNg/sOX3Blb9Us2YMegzEuYfmE0 wcyltlWZMMPbxTb3j2DrqPU2Il7C+eOwot5JLqRd3OI5y90SdlsNxBL6kImgFLR+SyQZH7TUPy7E fGEV126CKliQ0Rg7DVec56WBppxx6gbT0lcyqwrD1A2pnY0UdZ6a92MJr7crFZfVa7N5/mt2hOHM NjC05+Pm+DzbbLf7l6fj/dOXfu1WQsHbZWVZ7NqoVaLr2S1tyCZGQTRiC2bEKpgrJQX7Tc440gnM TcYcDjaIG1IIjbM2zGhqYbQI1lmLzowlQqPhT8I2mx38ibVza6ziaqYpVSxuLPD8vuHR8mvQOWoD dS3svz4g4SRdG83ZIFgjUpVwim4Ui3k3vGbG4UxCdxKJ4sLrUCzrH2OK2yyfvADzgofjsXdd2GgK Zk+k5urirNdgUZglOK6UD2TO39RLrbdfd3cvD7vD7PNuc3w57J4duRk+wR3AAmj//OIPDy3MlaxK 7W8R+I54TititmxeoF2PY1kdL4b6FAqUItGn+CrJ2Sl+Cuf8lqtTIglfiXjCQdYSoNuTZ6kdJ1fp 6U7ACZACCAzAhcCJJbQclidelhJ2Ag2nkSowDG71HJyZXmhwI6mG7sHgxeAU6MVWPGM3RPe4ibA8 DtcoD4y6Z5ZDw1pW4Bc9zKOSFhv1rcN5ANIF0QGwstuc9S0D4fp28HJ2K+lRI+st3eqtNonfTCQl Gnv8TS1zbGUJXknccnT0bjelylkRB+s9FNPwYwr7gBFIEBDHEkwKuGNmOYJZtO4+MvlJsQ7bBc9g HWNeGhfaoIXyQG2Z9g+1De2fczDmAjCd8tqbc5ODqbMj1FHrz4icLlhR+/reVTgwWvt20uOivfKw a22/ilz4WDxwojxLYWEUfTYjBqArrbKM6CutINTzBouPYEq8JSllMEkxL1iWehruppEGKuQgV5pQ vmgBdtAXZUISYkLaSg1wAktWQvN2fal1g6YjppTwt2uJsje5HlNssEsd1S0WnvIhtgBFaTufgv7K eX9y4g7go6voB2mxqYjFS29wlJi+KWK3ud7Z19yD0M5iDmjwOk8S7u2TO2t4XG2HiHuFjM/PAvPg 3F+TLSh3h8/7w+Pmabub8b93TwBVGDjGGMEKQNEemQwbb9znTzbTIb28bqMGnDX6ba0KRLTMQDi8 DGx7xuiIS2dVROlgJqPh+7Deas5b/EYqbpWmEEyXDMRg3yBKBh8THH7D89ouQfQsUhEPDBPAl1Rk rVI3axMG/J1oGV++baF2edhvd8/P+wNg/m/f9odjDcA7STTYyzfaXlL2veNz61ocxkClB+B62ZCW +kIoMODneQVBByjtgmoL2YGqgbSzlPSW5eXELBIpVcSzzF+98dJ0SpRo+ebC0xyICSI8FkUimLcp l28j4dv7vBqcxTxnAJ0KxKkGTiW7xhTLCQGIjs//oAVa7W0bOn//E3LY3nlwhDU3NYqqAx0Isr0w kgPKaVnOBNhUKA1naVEVnkcpFMbb+urdeTcZiHLiZY3edVWWYcbKkeGNNGNzPeZjmA24acxo9Wyx 5hDRmkA/PFvFVHYz9nqsaCJ8WQFS/+MstALe0XPYTubCAIYFiGgdCvSdgEusuFUeD612pIH5FRFX NaxAT61F5EfqTqSZKOYPlIy4DhUfPFVrk/l8kidYrK8uaF5yircC3llwNNjam+wtxP828ZFiOa/T kC4TpK/eNnblYXNEg+yZlW5BZR7kYlpwoDNAsfXBptDcEkz3vALw7aMHVgJIZIphaB4uhUxrrIn4 GEBGkFNFPtgCAGDXsLfCAZI28TBLD7v/e9k9bb/PnrebhzrX0CNP0HwIZT5Ohd7E223D4u5hN7s7 3P+9OwCp6w7Jwx4wezPZQ/2CR/Eb7tv5yO28JOEP6KZVJg5M3XC3fA+9/4aJ/Gd/kItbe352RtpY YF28O6PQ+K19c3Y2SGRBK7Ts1Zs+rV4fwYXCXE4Q9DKzADtUZe40kaMBWI+BPNifKgJEZMLEqn/o eOG0uEnCLqQps9HZHcko+LXyFGvJr3k8eAQbOTrhiMFqZlmpOfr6Gw9+cef/WRTCeo88Srp7mWRw lDapcjoILaowSg+sDs94bNrJ5RAHZYNRg302wG6WYWi0XPaVYoss43OWtYbTrlhW8auzf9/d7TZ3 n3a7z2f1v9Bf1cNwBjA8uG+XDiYNLJ9DTk3apTNtzV1IQ37bIVqEUUNZl1dGz+lMnFQJmPjzN51X yBNnQvr4ml+DZbGGAbADQOrdWDT2nVMA3DP+wUHwfIIuWIl5YIz3KbCSgy4naPOMMOHdCrIyzoOQ H2iYlnB0OjOb2zVbomotyWDRy76Xjdketp+sMD5PxqmVwbi6t3t6nAUHev0RlGQNKsJTQLgCYfoJ zMxj9NVELNAaLGexopdnyoKht8mimLSy/isdppEFZmrBpdcXTz6SAM2TaQrICZR6exb+602Bu66C NtQpsXJxowHb94KdQJCFrlgmbkdWL7jk2xy2X++Puy1mFH+7232DuUFU5C1FYDHCALA2TRSNZ14+ wwFGkbOh2ZN1MML73KmT7Mh9m0N88ycYLgsBk7++3bLfaLRRqQkggCzNsBHXWa9BVQGLNS8wQRdj On5gtyCwdrliIwobNfeA7fAUpxsXsDKIp4FpBqzRlGrqVEtTw2+awUvZdJBScvy0KtzVmuVKSUVd tTmxIKnTXwW6FheAs8aAFWERwo/GdhJ+CwylEelNm3EcNK9zdB3NDe9wVghYLSuSOhxo9sOycjjI MNkwTC0Qs1owlaAJcwleA0vR5A6pRkLU3NMxw9IMDP0ntW6UemJ8Ch58AS/Xvhkz3SQbr0B+IFJ7 MXE7xgv1Zta3DHFeXseLIThZc7ZEkMAxxcTij5VQw2bWDM6DcN4Sb0rb63lCqIkSf0pWZoknT61b Y6oRCQWR0xTdvQm/sU7EKesyuOh1bNBBzAvcDsj0deAPJFD7h0dcfazvfyfbATVvkQ+PMSPj7ahM qgxOL9oWzJ1iwo9on19D3Ahn2N1zo+IRp829DkdG5oFW9GsbZAhOpRe8zAHxtpcWmGrEFxlkDZxg sYJQCyyan1LLMFxEELSGE+oxUGe0mOsKFq/wq2vqPho2G9i0hvvmAsbgdodYMPSg1sgwRkXb4Of9 dBvwzWO5+u3T5nl3N/urBg/fDvvP98OwD8UaF34q++rEGi/XJID7XNypnoYJux847y5SALiOKXXf fbgMs86x9/OBPgaxkyM1qDeTjL6PaqSq4pREa+xPtaBV3FX9TGS4W0lBX881bFQBBV7jlAwmUNc2 F1rX9/jNvR5AFZdWofPrBRxWULqbPJJk+t8okbdSyzDn71PteiEMz4T2649aewDxIi62BD/lbRgq p/+4hIBXCzAaH8NsR3sJGOk5ScxENKZjyDVXwtycYFlzfgZYLbgyRgEMhOhdd5fKdUhU+wf6YhfF 1hEdqdadYMoppZbbLQMm3koWlFIhvS6RgzgzVjclCYLLzeF4j2dlZr5/2wXAv4ucusCFuuvRidRe kNVnnFIRkPsMyqDHYHdHSUWcRf7RuSIhQ7KLuOriLNnXBgRTgDeFrJMieGeJi0HNoZda3kB86e9w y4hSOpMVdt3ZOV2c+1rf7IMuATqjiRg5sC6RyQz4r9iqfE1Y7DwXch0RDIi5rASzkbGyxJPMkgSP vnWnuZdvSgvaZeP/7rYvx82nh52rXJ25a6GjF/FEokhzE4YynW8bs+AhjIQaIR0rUZoRGcxO7Ler eIMmu8WdGqAbfb573B++z/LN0+bL7pGM2OhETR/ZNlmanBUQJlKBc5epqUU8PNZyCJJLeHDf5fas FfwPUcIw8zOSGEYxTBs7942h2/slJgvwijJUqWbCQsuMEbEOZnuxK1f5WsCqjN4cJfVCejPcSXZb fiUHFbrT6UBdZgBUSlPbgLLC7LivcAN449C/4nhkAriZi7liQyQEkHReXxV6DSD2wVNizfDuKQLY 4x+apfY2uZ2Z28RcFK6Nq7dnHy679Id/9bP0Xo0h3ihiBtbEP5AwujCUjn00Bg/DXFBHSnVIxBso ffW+V+9bbJj0KLellJS+30ZV0qcibh02glV79NusaS7XQGfMXXBcXyU10b9/5lzE7LavjVaoPBhX uHqu4M8LvCFmjcCVLXKmqACgNLyOMFgAJ6ftRL9lfoF5bd+ABroLvgfMaJNDdVan2B3/2R/+Aiw6 Njegpkto6tF3oUixiWDUNMEveCUf+ASmMqjKcLTh231RZEYjtOtU5S5IpzPbMKAlp2qnRL0Q/V6V deFNzCZy6CDQ5TSVBHytqFZLWxZ+/bJ7tskiLgedIRltE620jYBiaiJjzzGqFqeYc4WlBXl1TVUD OwlrqqIIvYS+KUAp5FJwerXrF1dGTHJTWZ3i9d3SHeC2WEbXuTsegPZppihRoyd2u5+uT0SFG5BM XLbksPkqKacV1Ekotv6BBHJhX7RRki6Kxt7h5/wUEO1k4iryMwytxW75V6+2L5/ut6/C1vPknSbr 7GBnL0M1XV02uo4V2XQFpROq6+40ZmSTiZAQZ395amsvT+7tJbG54RhyUV5Ocwc667O0MKNZA81e KmrtHbtIAM85OGFuSj56u9a0E0NFS1Nmzac6EyfBCbrVn+ZrPr+02fpH/TkxcCXxtIgqs9MN5SXo zjTHLiv8MgjT8JOmAz9Ywuwe+rQJq1SaEr+lghg99WLT9l1AMi7BA84yLweleiBTJwzpuLI8wQSb lMQTkxNYBT1hpdVE8bOhPxICAO4PGB5hqhM2HJkZK+itR2akLi7/eEuys4uJ8UZKJPPJklhnnTQb rCmSyMZWMDz7x9nF+UeiwYTHhUMHwXNjS7wEXBYALnikqpCZYdnSb2tlIfTLeEgWZZKUg0dMBvh4 8/rinVe5z8oowC8LCWMk53qZyXXJCsoacM5xEd69DQLpjmqLrPnhynxBdwtDhl/eK1o20Ko9Xywe d4HLOV2en8RUEWJSaKxTl/ipXd98BOrEXN7DTxe2NBv5SWqPnrDAanqcglJ+j58jxqLbHGL9IW+i x+naPlnyYqXXgi7xWNVL7X3O0VJqAOCtd8fIpCwxdU015xI3VKsho/1669Gzbw6ADzvNSzLpiHtf 6IV3karV8NjWcx5UCwQS2RvQLI2+na4p+KiMd1Txyeo88YfnaOAyJrsoYk0jxeazC2fxlaC/H/Bk ao9AeWNnVa5tVOkbGxaNRx/9hzK1fwozCGxmx93zcZDTd0NamtEHXE2ANXpzwPBjpd665oolLqPX pCG3f+2OM7W5u99juv+43+4fglQeA0NFrwlphKIgDouwWJknVHgCLD8R4x6T4AIASLlO8YaNfp2o 0ANqewE/yrhGDy+7435//Dq72/19v20L0vy0m7GLWERG4wKFswB6xcivy2rmCv4bvJKrFWVckWOW TRcBDTtwbbRFHlMD9jYnBY1TJY2lgLmMc2IIqYisaq5bGtJa4L2sJiiYVfOoeN8ZJhsdKfw2zZF0 eTMSEp5dj9M5upJzz/Q4/3TugFsepMdaWTQPPJOY5lkzVQDsCra/E4s5VgA0JehWFhX5xVQrjfcY MFv3bQdG1HyeRETfeFfaFMk4EVfwQY6xjnxKemyN2tJnqpuASlibnD4tuabPRyaienW/DynW3UnA e+UkL47zaaZZCoo5SJc1QOF8BB3OXc5IxWNRIGJqD8LRoHrB43ZZwJ+Runr1eP/0fDzsHuzXoxd2 dqKA3ekIsJNAi0TdW7T8EUbw29Ztsi3MlAbvglxREcxCdn9kYTwqQEyR1Hyymq0fRJbzMVbp2BC5 nPjYsN8u8+OeZBxNKYAVkdYnRlHqnxmESbKfkqtXtf1y5tSQcfb4zYYrqHQFLV4F21oAlXhbpUvh O/b6eeS5GrIoyoo+vY3ARPkz+v0P3hmrn0d3cQ15mKdmIvU9ET6fWDnHhpZo3OW4lQ5ik5iXCzv1 Rx6KlPZFpYYoeVgy7s1DpFQs2CYBPHPTUMLPFhP8wiPM8ANgg5FmmXc4UyYyuQqvGblZGCmzFvVO xaN8ANqS2iEnQwRRxjFTwaeAZZzHgo3ASBn/tt0c7mafDvd3X9z1b18aeb9tGp7JYaa7qitEFjwr /dg1INuSmUXwp0VWJi9DnNTSbI4nhdwVOB9FwrA6hrooUHWPqVA5OOK6PjFpVye9Pzz+sznsZg/7 zZ37lqDdgbUr5PCH3pHc5USC36Z7F5uugrntxJtT/5arievWo79ipARAA+p6Z3LC/SsnKzhAzKka CcmHM+/gD3OFwiv/trVFaa4UhOYNqN72uQ9hAE6Rmf+GzVeK6/FriK6ad219HUhldVGIuS8vG9G6 zr3z5t4XdK5+e1AGDwApuEytn624iPsmGprORA4x00hW+0WXDW19PiLh3fy4H/8vrCQ51tKDAjnt SkNFQWbKi7h21fSuTpzKrni7hufeMc3ltfGzJlqg8cNycpyoH1QvBJLIXv2WPesrwfxh9Sh1CVj4 AB6fIBpSeC33GBBz/GMQLaNruZYXKm14pPY7oSq6JmTaKRmvWA4e6jQsdDQoe/m2OTwHthNlmXrv ilfCRQKGV8ozkdNFKZn+QAB0wH1yRUiNqmTaAbpxV/Bzlu+x3KT+bNccNk/PD+4PiM2yzffRTKJs CQdQh0tRlwsMplbX3yg68ZAaao2L1P/CH5+sWodXRPSLKk1s8K7WaRLkPXU+0adbXyydHAx/eNnt sboyJDh5dXqn9RCK5a+VzF+nD5vnr7Pt1/tv42jcbXsq/p+zZ1lyHMfxvl/h00Z3xNSWJb/kwxz0 ss1OyVKKsi3XRZFdlTWV0fmKzOzp6r9fgKQkkgLt2T3UwwAI8U0ABECzB39LkzS2tiKEY8SYtQWp 8sIoVwgnLNO9UKH3xYUWIEEEp9sZr7itDFwdPtPwF9hs0yJPaxFFZbDA7SoK9zcgcyb1rvUcLCwy /wobKhaaIAvM7rLrsrzylRllIu8azLzxWLBRvQXUVVuBDOwi1kW1TQ+Sf4Y2i6fRRMgTK9VHhwFZ hwo669CHmmVmW2D+2usAprODRRhxkJV0y86F6S9drO5eX9F6p4DofyWp7r5ivLe1Rgo8XBocm1IZ RPQ1uDvzfDxxFVh5XTj3y46soO9bdRLUZYRXjmszyMK667bOQ+RKM2VqovvH75++vjx/3D0833+b AKux/c6oEMbObbKQU0Z2MYfjXenPbvzFaHZzXvsL197HM1l7o+kIspdInQDUwUTs9T4ekeo8TB7e //hUPH+KsdkurUK0qoi3M81iGGNE1B6EtFwLGxyg9T/nQz9f70JpiQaB3/woQjprn7kE9yniHK0U xdI4hi0RDc45GkCs1UKQwNFDXdbI5XYSJS5xicxbFXnM3P31GY7xu8fH+0fRvMl3ueKgL95eHh9H vSwYJinGY5lDrSHapCZwecNiAoyrggDjYsC0QWSDYlBC9o40Uz1RWIU8HLsV5w/vX4km4V+Yp5D6 XML4TbHHXIeumV8y2fuac5eYK+KLWYlr/r/lvz4otvnkSXp+kSe6IDN75Fb4Q3aHev+J64xHlSws zgooLLdzcd0PgvNICjhElDsGYnZn0BoN3SSp9SjCjc4KhE90O3BkGwUsur3WRlwVAKXDHom6KaLf DEBy3oc5MyrQeRwbMEP7KTamnx38zo3LhwKjf0CcP6KUpjvWSgTe0Bow6e98NmsmnCOlcTYudmmV 7rVPyiAdTIChgtlEyJaZKcMFaMvYMKf00HbDNpTxTKPgB5GFkiofNkGwWtM+Oh2N5weUYKJiD7Sr KxWMsD9kGf5wY9ou9+soFjJOQB6wKsoSeg/4Qp8v3cfwUnhcBYQKx1mZxjKw8cK2X4iyRJxFUkXU Zt+3LzIzqCkwXU/RVLzXjJOj5vVqgJWizqGeg+ZrEJwII0w33epQTFI07rlvxqPshmqp1VB5MB7z dMLHyYcQ3joMngInY+/py1udZ791j00JYbLwF02blIV26mhA06SiI9B+MjiqHPL8rDaGQUuM+Xrm 8/mUUjrgCMoKfsBrMdgbWGyaksIy4etg6oekUwDjmb+eTmeGH4qA+XRKDhCQOezMbQ1ECzI3R0cR 7bzVaqqZVhRcVGg9bTRHhDxezha+1gfcWwbab9xzoV0gQJQzlfBPbyKnp2+DOayaliebVOv48lhi uh5tQftqO5MRH2mJ+gGRwEpiYM76tAPVgF9QgySxmL0iPg+1UeA8bJbBajGCr2dxs9SsrB20aeZj MCh6bbDelSlvRozS1JtO5/qhbTVUZhW+/3n3PmF4F/fnk8h79v7j7g0E0Q+0oSDd5BEE08k3WAAP r/hfvYNqVM/IJfT/4DuecRnjM1wqF6elIIKFNtoZwseP+7e7yabchpPvne3328tfz2j/nTwJe9Hk F0y48/B2D3X141+1pY1OgCEqn2XW6QPs+QNEVTjkQfB5u38U2e1H+YmOsJVLQ+IA0AfhEhNtZsW7 guxXYyPqV5MICdbv5OUPlUrp/u79HriA8vLyVQyGsIx9fvh2j3/+5+39Q2h3P+4fXz8/PH9/mbw8 T/B8E6Kctt0BDPfvklHnCSI5YKkdB1Bb7TSRv5GVUWEF0y3LGvOYPMUEor90FdkMXOGAihw+YPaT yA3cssJIzIlwdJtoN32QA/YIKsDAthuwz7//+a/vDz/1Puq+1CsRqjTGZHaKHZHTijOMxNJM5SHD zqj1DMJIpRkHsYwRpSwgVqXFZ9X3Jh9/v8KEhxX3xz8mH3ev9/+YxMkn2BF+HVefG+pcvKsklPSx 6Ypo8n1fYEvA9ERnos79aWa2VWrLoZUNUmCyYru1omRMAh6jxx9ekYy2BdEldbcLGRYKWRT0EtHz bu6beEyh45n4Ww6f2VSOzzSMh1XAMxbBP4a9dyhC+9b2BPg0gSM/oaSpyr4+g+nB6on/Mrv41CXn 18QExFju3QZOGPCFl6XV8MOG7+LEarUEkgp3hwfJcs97ClfzkDA5xVA1nZlNYUQ+y9VShhYdy/PR bGNfWNmmZektnQOOFBzvCmPdF1KuUeECYDdNCrruQU125PZPbSP9kVXrjUFBG2eFIRjK/J/DXukU 0UVgP107RJfmTJNraLDbTP56+PgB2OdPfLOZPMNx8+/7yQNmUv1+99UQIAS3cBezS0Ms8HF6DPVe FMDbomK3zkbgxwnbQTI+X3RYLlNxy0QwhjkiafGaKySNqInYsjXZV0G8MWRMNF8sDetPogI/wtrh A5VIZZUODIpG2petMOZdyqJxTyTGKkxyp3uRYLLRbRUdsbo0y8N9uAVFD38YXlYWncyZM/LFQv4M LU+M6x7QAC4xEwSvRXovOef1+h7Q+4yVZDgUoIUqbRXpcqaRvQn4esfEBdaRYQYKOjoTWQsnlycb AtvyrfXBU8VgcjlGCfBpxA0+IIlaHGKH7wegcoYr26LHlwXQ2ULEvtPlcCIaX/2SVubo9pOShra3 mQPB7R4fUDtHFKWYJHQ2e0QdeG18SzrZGLNnk4U36dmgwtzHNQWSWZHPbQXHl/A748yciopso+cp w5kjnOeJvhYjTMkHSa7l1NDKSWvEKE16t+BxcdQF5mYUDh+mmTSMMY1lXsAARzXl931i+2QT6mei dCqzDQd7dw0wlIj4tgCj+cKxCecOaUE6vo35CXjt2NgEEsUznoVHx0sPSLLjlM1YoJSb3nDB8/H2 8PufqINxOLO+/piEWuoc4xJLHcD/aZFeGcfEXIaNFzsZJmtSVKBkhrHYCnZGn0rVs+bUOOil8/CL bqbUUbcHkJtZSCN1/14dfoB9wwjrkpB2HwUBmWdVKxxVRZjEppk0mtNmkyjO0UPJ4domcpXbrtXj D6qLGGshUNFMRqEjO+Rk62ORNsFo/jbN2Z71Q0jvUxZizDj9op6qGpR7AWn3JVeHJAZ7tXaPjDlh phJM8W80GjNRlrfi2oB2UgF8s8U9wkmyZeF+Q4o12se3RbE1HoUaULtDeEoZiWKBv2gaGoW+ACQm D6tjl0y9G9qjXXuiGJQJ90VjlMsafnI/PgHozekKVxZXphZ0w4Ng7pP8ELXwLqDgi6TPkPm9YjRj 9rEf/Lak7bOAbPw5YK8sUcGZpzk9UvuwduPSuir2RU4P/96wB8GCabbp/21iB7O1kdkZVlxBPk42 FCnTPce8dmSNYPfLMHRO53kbh6vpdOo0J3Z4O5JII0Cjqis2usqvtrKCjkAFn6pxhQF/FYniYc4P Zggzb7ZR6rhB0Uumeh5MHVFkYQXyUUUPKC9i9Atr6EOL12IiGfWpcyGEXK3QeV+U/Gz6vYLa3mRb q1/HZY/M2JvhZ4vRRjGrKRlRK3hiX6wUHhLSnhauJOQ9wezampIXDjpzdQURNsw9WRRNlrW1TdNr eKD7SAlN10zxaky3LXdk6EtsKJBIGKMyxC7wj1gdhfutxQ4+gJntaajtM6Gj0Nm3Sh3s+lQGjR5S LCjUoWwCie/sGJresMNGbWXl7XzqrV0NBXQwXc4tfjmPMaaJ2Z8u4joVKqf5jaaMyRTXuzNmzhsM LyeA6BMiw+cmK7ZFXRhQY68QxiYIdztO4UOVdtEBmSc2rsMoIRDR2i2kvFyPFFQXylZN0zh4ATZY Sazu55TLMNiuCwZmShp0c1vMvfl0xC6YB4FnQmMGkl5o11ZJaw7+Ccwo9XVN2SuDWeD7Y2AdB55H 0M4D+6sCvFy5viqwa5PThuEbERYfFpfZgTvYCLmobU7h2eSUoaW89qaeF9v8sqZ2MFOilF2gA3vT raugEHvMGvSiiQtce6MPdTKH4zMya31ofSisg+nMmmy3HRedfZWisnTjYK4O3FEhOGu7VtAqCOwM Dpagm3jTRksfgaoarAEWc7O6R9T/eWoC1b6/hSXvV/i33VXQ4yAnrtcLx2uIpSsNSFk6ng20Coht Zffy/vHp/eHb/eTAo/52CKnu77/hi90vbwLTxbCH3+5eP+7fxvdWp0x/rqgPSj7pqXqRptcwkxxG yziKdazD2mnS5I60MzpVt/1QphCNLGY8Lly1EcvwCgPxIAXX/Y/R4m469EpIHydFnSCL+SjRA8Kk j8gwxBLUu3Kp2/xrfaGW+nW6NGEhjM51wm65X6WsQkfYnkEkl7B29VmfgkBvuEFNmnZ0CvPGIz7h E+tXitTMnASev6CcbhDRNGbNvKChQlFPmXDMfTJ/2yPaQV16uV7HL+ckpG8kdSpx4qf7Pb17DFHD J86oxSFym5/YhnUGsvRZ5Bk9PWDE7S/j1BW/Tj5ehGfBx4+OauRYetL3iF2SaY45+Av9h8cQ1CUs qFytWvcJ6Ia+wxI4a1PUUTLBj2EkOeBzuYCjzTxZTE08TA0kzEM6M+CNV88kHy17j7J+kmTSPEsP kkiQR0TLMp5Qtt/90VCD4WdbRtnN6FBgz69/fjg9FES0tOYegT9lZLVeAwHdbNBTNXOFaEoiTMHi yjkjKWQ21Zvcka1TEuUhSNaNTdQHhT3i+9X9vaMhU6vyaDO/XI/fivNlgvR4DW9doGnd7QoqkCVv 0nNUWCHLHQzO0nKxCALa1mQSUXrRQFLfRPQXbkHYXNAKskGzukrjew7TVU+TqLRG1TKgE9r0lNnN TUTnsupJ7Mh9mkLMQUdarJ6wjsPl3KNdkXWiYO5dGQo5Va+0LQ9m/uw6zewKDezDq9lifYUophfo QFBWnu8wZnY0+/RUO95O62kwtRYedFc+p+xcV4jq4hSeQnpzHagO+6uThNd5SRuFexJ2y5f+lSEr YO+hbzmG6ZH7bV0c4p2VYHZM2dRXqx2Hpec1VyoVxbRcOAxtjZniGWUZ0jZGzfKEP9uS+wSoDTP9 zY4BHp0TCpwVWwb/liWF5Od9WKI2RSHjc2mGUwwokTdZvBBnWP97fJqhYBQ73CmGz6co9TNaBtC+ JkaTUfbegWhTxCjZmnd7En0hhlsSyLSF+JULRGhFWa/oyScp4nNYOkTBQj4uA6Kj5TprkRx50zTh JSbO3Va1tRvRKx8a6FD1vHgeY/pYWk+RJCJZqiM5syTAnuWgbtvJ28w1AAKnw9bP5qM7JalZ3719 E27G7HMx6dwLO1Vchbuon0TcjUUhfrYsmM59Gwh/Kw/2QdMXCBCabshoEInOWGQsYglFCdwCKUtF U3K16q3vqDtqwNFmB1kZ7ueux/cEkyoW3J9G3MvI4myg5emtt+Mgu27IpBDmqd1BHazdc5CJCOY9 QTbXvSSpMR2cuQmhWYqZP+7e7r6i1WQUNVLXhn34SHUQ5jhfB21Z60nMZCSBE6iih/xFn3Y/E9mH 0ZsNk6f0PsH3bw93j2NFTe5KMugt1h0LFCLwF1MS2CYpbMxxWIsHV2rz5TadzlsuFtOwPYYAst16 NbIN2lUou4FOBCBeGK9F6BUy/KI1xL4SF3zaSwo6tsKXuvK0JyFrlzagYScOwVEnDHmJzx4cHbkJ jRbzzNUZyenqh6raDwJaJFBkmHuD8K+UAVQvz5+QDUDEvBDGQCIYRrEC2XLmujczSC5WCPskYzVl DlMUZh5DDaiNvM2Vsw1zOAYpituLWB7H+8ZhSO0ovCXjK4cApojU5vhbHW6dt8km6TUytmmWjUOH UiRqx4YN++o3K/pYU2jxtGl5jYmgYvtNljbXSGO8SxY5ltiWxbAV0SabrofLylpafaC8sW1ZMyOP 60rmbCPmhXx9dZ+ENmtFhi8Ay8fAd0eRLyTehY5kte2W07K1CCN1ea6pp+sta+hgrTrG7SGJKL9S 1QLxRtdhvK2K6FBsOXzZPvAApN6tpxtdCfM1ZZAuMYRWz2ksozLVwqNFJlAnQJDZJ5kzd3oeqRtt aTff0J6ou5N6sFAz/3UgkdMdDnqMhCawUTifeYaFsEeN3e1HJDH0o34ZDnU1Iq7h940BEA8WGhdL +KiDK+8X9M023qXo6oyNMHw/Y/hT0tMKlnV2dmWhGgsZemVkj1UHXouwDJk/bWyIAql8bO7T41bh RyvURkwFYISD+PGlHCUCjU+rktkLESvdDOQt+J+PHw+vj/c/oTFYJZFzg6oXbF+RlACBd5al+21q VnXspTBADb+GDpzV8Xw2XY4RZRyuF3PPhfg5RhjuDx0wz5q4zBI9CPBia80eVNnxUIhz9CLPpU9I P5zh479e3h4+fjy9Wz2XbQt81enJBpbxhgKGRtyiybj/WC8eY0q0YcCGufX3+8f90+R3TJimUsn8 8vTy/vH49+T+6ff7b3jh+FlRfQJRBEPsfjUstTiN0IvEkZAT8UmK6YFFskPz4sVCCsdhzYxtYqk4 JCRJ8/RIaSOIG880MTf1XAJFZS+anHz2ATGFMJSZDGEgiKgmxFQ3s8auLGc5nF8O9spdqbvd+Qlb xzOcqYD6DLMIhuhOXfUSXiiiKjL7gnO512HBW9g3R7tM8fFDTnX1HW066N7VzgllzPf6EJn9QAyr AKk7UruLujy0DqfQgQSXwRUS19asb6tauRk1MtyMqJWXvHTUDeL6bG06LB0iTUs2ye/ecRSHkKzx FYMIcxTSp+a7hLBGhkDCxmo8U4ewzmHMqmx0qPE8z0iHCcATrtqyjd3Ko+VBzA/TlC2KmJbTpkZh rj+EZPlq2mZZaVZdyquRSYpA604WwQVMZLZ3+IYAvnMgcRKAlhAwvpySJgzECz3F/ixmKXIUaIQ3 q0UvF7OjxJfz/jYv2+0tMbnCfJxGQ8wa7VQaxyhjDYfzGulL9SSBmm5mKG0pphF99othUs9jiBSU 5rDUWbr0m6ld7VHUhz6X+uw7WpGcmjQ7rmXe2ImQ1UG0kUY8zqwkVAP48QFzGegNRRYo5TgUCz7q 6bIugc/L1z8MJbvLcDlCaszYHkV9ynIFi8B4vlcBxAuZIswqYzkc/AvP7yiKTacsWUVYdWt7n8ud zmnnFQfe6GUVHany0Zofk7dU00EClPmjnu5eX0EkEF8jTiFRcjVvpLup64NqYzO/121DTwY0Ocnn fXTYpsZ/pp4xBfWWXIpWlXSVrYoK8C470RqowOLNSHyklXPZY1Gw5Cva9iBHIczDReLDVCki+nk9 ScYKat/oBjLWPZEE8BQn69m8saBj52fZ+Rieat9cmO9OUoPcS4wCev/z9e75GzX4xMW3id6XVj23 p7aTv8fzjzaqDAS+s6eEFmAKYDocV9LFonqmHAXdBIuV3ct1yWI/UE9sa9KF1U1yDW2ScfcZvVOx L4UV5YTwKIH6ePmJ2q3l3Cxn6/ls1NasDFaLJX1l3/fhaklmDZLTDa9hrYValxxKBMtRRwDY9wIK vPZ8G3ybN8FyVOFDHHnzS4N+yoOZ5xxzwK7XRlIdosv7A/LKTIZtzFvS93dd3828tbsycgJ7VsPz eDYLgqnVpyXjhZ6hQy7gKoTOGI+qTJFNW+HGzbLX53YLanDoyIIt2cf4hP3gHed1R6/36a8HJfkT MsXJ6x+i4v48oKQrncQ7GSLTgHKeZAMJ3zKy+UQF9YrzxzsjYw4wlIoI+ojZtZEYDqI73RCJx6ZO F5o/rYEI9F40EOhYmaCA5SjqzQynR6Mw7e9i0JhuKgRFMF2Q7cXCM9Ij06DwnLWbXfvyfObolcW0 oTtjFUzpEqvAo0sE6XTuwngrfX8wZ4YmzRUnNOscyZgSgcPEj3rOxQFoiW42Bv9bh6YxWKfJ6thf L+ibW50ur5czcpx1ouFbBFIJExdwElRstIclqlRkkTEfmVLUJA7T9eUG6sn8IL7VlJ3takio/URL icEmiDdmrzgUWlxOB8qnVOFH5cRLDQJKFEKtAYOCUKCZLg3DdRSiRn1uw7gO1vMFlVSrI4lP/tTT 0sh1cJy9yynFVE74Cyz7iU8XpfbdjoBHhkdo10QAU74yKkMI19NddJyiWx/jkYaBsRDKRj2qYofe JZT0ZVMldXuAEYdxUo6yFh0csd5qOif7UeEudYcg8T2tFV2PACZYT2djBEpU/orqRIf9c+AoepPg WM+WC4+sgjdfrFZarJXCyNw3hSJZLpZjkk6uoyoqcWtq5+hIoP/n3qIZ8xWINckWUf5idYXrarYg uS7k5yiuCxgJcjPsp28ezeariyRKOKWJuumwDQ/bVG6/cyrCoKOr6sV0Nhs3o6phMyCad4i5N536 RLuT9Xptvge7O+UF5ScuJJRQC2VRgO71JeNmUaFg56/FY97U6u6I0jyFuuzRR0Vt9TKzS5vzf05t 4mIzrgDmUkGPLoyiNJ/t6yi6kJhtgTnq0rI9MU4bFakSm5BV8g2aC63QC4hXi0QmHaoy/zFLo7bj ZiMara2tMrkSaLoi+OqPovpfyq6kOY5bSf8Vnib8DhOv9mUifEDX0g13bSpUN4u8dMg0LTMsiw6J mnj+94MEagFQiaLmIJudXxb2JQHkgrZBXlzLvviA8Wy67lIR3RfyDInIPqvMRCCGbKsUc6ZsPNQv QNPek4f2gqnGLDzyQVl6lSsaGAQ5kgUoGItXVZ7aOqQWeHZHJwT1+49vT3/89vrprvv6/Pby1/Pr 97e74+v/Pn/98qobrUwfd30xpQwtjmSuM0CEU01wsLA1bYvKERb2Tviv3TS3yqYO0G5yd6vX2GZs wNpyWHvwL5Ss5KTdDJLUifyFy3pq3iReF03puYc6Q7BJmNoCk4rLFniktAfxW0HW2SBv/dAyrvW4 36tD34RD5CZYNcgY+SNWJN5cF7Q8fCyfeWlyVHmYj2PiuYAqki878JWTMXrQtN3YQbvs5kxTLDCL mHDIaoKkA2T91+RLUg0ZK8hMxO0wiHOe4P4hqxsLalyFSsx84VrVAH7//uVJxG6yxQKuy9zQDwPK LCwr3QNUsBgVj0iZ/hK4gqcqyy2qyWUu1awd1MxPwPPN2SbtsfOc0a71XIKdRl70Ft3qMhezK/Ss HktmlggN9DODvlkuTnUtZj0AH7kwfN/2Z3Y7MtRzBJQ7c/1xHPWGnoi6a3MVMAR2AXVe5KFuGzh4 olHAJwPYKWgCDDj5JIxmmHwJ30mzDTOrc1F3FRoUhYNJ0tWJ4+jllsTQqMxGaJ6oszS8oar3mCs1 9TdULoWayfIDeGQmymlprI/8ZTVdWYtHoabS6YyZIGnpwUJltlWXlfxEil60TPenhpqFSMgQWgXt nKhXVIIkF1MzS0aDOBqt/u+Aow4dV6+OIBmXIYJ+fkh4L2ma5eQwhlO5bRlMV9Hy+naoX56+vj5/ fn56+/r65eXp2520GKKzOaGyka7LMLBsJ+x8d/rjaWrlmi9RtAYb4B3X98PxNjC+x9mm6nJvr39a 1ZeVBmcX19GPR/IO3sXXCQnGtiVxe3+/UD03NnseSsPPvL41NTq/MqDpJQhVvgbouUx0cz3GWDYr GFh+xz4y5qvaD80xvzw8qHvB8uyyJerKdiqgBdkU05cFceUFOvG+Dl3HM4cHUC29J+EkTfHD6gJj T2wT6KtXGittW2LlvUSfaaWtu+enRjVis7gn7xCNHVWdziY1rBLZEU4zrXJDspDMS8AVkP5brm01 kGOBMYBm6UVqObNLrTo3WnkWz6sq11q9hY/vOMckwt93Na4a98e48oAslEQhns3OraLClId+mlgS mAZolbfYNcaWkW/hcNuKtY0qP21AY79S+msj2miY5+43j2BxsYRL0oR+qF6yGFiSOHi21lellUVK ND/EdA3RR5KVjbIq9R1LD3Mw8mJ3v4f54hX5I1ZR2DRiF09aYJjEqbIksS6A6ViIRUsxWGxjtxoy H7do13miOMJqthXfdCxMbJ8Z8p2GJVGQ4sUVYLTfkxvRz4DUMDkGFPv20u7VJLVMHYEmqN6ayeTh yU+yvr5V6nic4KXmUJLidc06l7c+jnVh4OJl6ZIkTG1IhI78uvsQpx7ez1zwxtcM+U5maVGOodaG Oosq0a8IqIkE+KizLYxdeXmEwD8oduWLV2RZvgSIPgsZPKktgXvsHXvFjbOAAiwngi00nymQ/GYh /53llFVH8PO4XzHGk3IighWBQ4kXWFYzAca4qdDKxQXL0I3890o6i+E/wOb576wpUgT30Ik2S+92 TNebMVAXDSxsMEk534ZZxAqJBphkaDBp6j6KLAb6kRgwiaw4YgiofWY7JGZFZixsQGnagZZUfXgT rrQEBkKPYZUlEjnFvocPhwvc9l0qViTAaWXpCW3YieQQccTCJksxlWBz0Xb8+vHvP+AEulH0zVUr A/6DC2+gYHugGFWNSATUvLuRyzib/WhXxf0c9oEVVWkJxAlM55pNRi96hkAvDzOk5yrS5XnXEF23 7dqqPT7wTlaj0ABfeQB7OeRVYwXBqxKpqjb7mS8aW7gqiPA2yITejlk/MLG68WbP99y9Tc2UaaEE OO1Y1Ddx/YpUEOpuw1h2KpaQxXC6ff7y9Prb89e7KaTXs4zb/E3r4ck4K3YcbarPCKOVTTNtZgHV /IHL0anF8njDZ945KqqMthLLMG59vbWhF43S8iGu2SiprCrn9VjUZjWvvE0tvdNnpIcngVNeG4Ne INVVd3slUpMWksfuYkmzI43wIj7HHfj788d/7rqPX54/G7USjPzgJGJOMD5Oq0Ivw8TALuz26Dh8 vNdhF96agZ9a0k1nSuZDW/BjBUiMXpziCsg683B1Hff+Ut+aCot5tDJPbbGhMwpxz/HSFBXNye2c ++HgoneMK2tZ0JE2tzMvzY3W3oGoMqDG9gAvpeWDEztekFMvIr6TY6wUrM7P/H8pX4Hx8i0sNE0S F7stUnibpq3AItCJ08eM4An+klN+JuFFqwsnxEWRlRli5eSUdfBCfs6dNM6dAE+Wr0U5FLQazjzZ k+8GEebLHv2AF+OUu4mXop0nPTHx430qVV+2KXHw4PjhB8fShsBw5Act3FHVytfABlolTpCcKhc/ GSvM7RU8VMqxjp7wUd7UUc8HK0tb0boYb1WWw5/NhY+0FuXrKQOFmNOtHeDiJSUoF8vhHx+pgxcm 8S30B3Rm8P8S1jY0u12vo+uUjh80DtrIPWHdoej7BzCJWT3W4KwPOeXTta+j2E3dd1gSz5Jh2xza W3/gIzX3UY55ZLAod6Pcwft+ZSr8E8GERZQ38n9xRl0Z2cJX4/eaKHeSEOfGf/KDQlGisXTxzwix 1a6g5/YW+PfX0kUDQa2cXAjqbtUHPiR6l42Oa0lQsjHHj69xfv9eGWfuwB/cqnDQvmYU4jXQ8caG OP4RFlurq0xJihkHKMxtAwqLY+AF5NyheU4cYRSS82ZDljxD13JxwfGSgc+4/aaYWAO/HgqCVlJw dEfXRQfz0F+qh2njjG/3H8YjOrFl1K92hJmTeim6YvKloyv4yBm7zgnDzIs9VSwxtnv180NPc/Ve WdmGZ0STGNaXosPXl98+mSKRCJaYM2q2bXbi/QhuxUHks3gPFHLptPFwUiM0AK2csPFzttxy+BAn BPBMdKIdl5WHvBvhWuhY3A5J6Fz9W4m7tYHvmvtqOV1YBgAIld3Q+EG06dmeQOhWlkTeRlRYIHNT 4+Iu/0f5NxuApo43bomeH5hEEHjmXjOaHwLIgQ1AFvm83VxHDyetMrbsRA/kJi4542iz8Rs4pguJ sCWbZPiGUnaB5X1o4mBNFPIeSGwCICTS5a7HNPVjQPgOB6ZsI/9jjPwgNLNX8Rh3oKyx5Z2ZgvBR kF/j0LUtEav4rg9wSb6R04EfVPGQQiof9Zjk02s4w1mRYRN9O0vVj4uhIVd6NYs2kfdV96BZ+qw7 4sZ9YtaNrMSiYIFFM+CnMfHDWJGNZwDkXc8LccBX3WCoQKBeM89ATfkC7n8YtkgPbnbUk/0M8B0m xJKCnccPe7OxpNez3e2Bi21FM4iD/u3DhfbnxUdG+fXjX893v37//XcwjDePluWBH7XBH62yLHOa uOZ5UEnK39NpX5z9ta8y/q+kVdXLWKI6kLXdA/+KbAB+VDsWB34M0RD2wPC0AEDTAkBNa2lCKFXb F/TY3IompwRTCJ5zbFXvniX48Cm5UFrkN1XrgtPBOKICf4ZrJ3IqmGNM1xbMKAEcbaFggxFRc9tH f8wuIRCDYJ5QW6KzgSPXI0GD9sJHs1davcXc3FBtAqLQPFEp9FDfjuMQ8GOU9vn0GGxUtJ7DZ9mK CXa9HroOQu7yKK0nyfhJw3eMB/xpFUKHt2iyw8enPz+/fPrj7e6/7vixx+rtG45EWUUY24QgAqQK SodvYd7gKNfLAqgZn/bHUtWZEvTh6ofOB+06EOhyxcGqPaO+55gfDXnrBdhLA4DX49ELfI9oG2el hJhGewAYuOjvR2l5dLDhMlWOj4JzqdpsAF2up2Z+/KTo88UUN9yZ5omliVd80S5RDAlmDH9tWXER rey+KpSFfgVNDY4VITk8jTl4ngKMccshpcyR7xA8AQFib7cKS5eEql3IiihKXRts++awYhvt0zWv a+g5cYX78VjZDnnkOpiopbRMn41Z02DZyy5YJuc7U3D+/krzojXWzgkSYs06BNujVjv4fRO3GXzp bXCFBIXHtkAqLFl1GTxPc4m6eTyYP2PtpVGDvBs/FtdnCqnL6g3hVlTKNjoTaZGlYaLT85pIRzXb dFjxYZ5bGv0XzSZ2pkw+f41HC0BbxuDFAG3JuWiiXkgzAn7qkVpP/kq4pNS0aucCVhPe6KTP2c++ p1VIPuXc2oovV4ZXFyhH32Y31AcHoHPYd+kQ0GjESflJS06+qUyfWRLNBn48JnCdqz+niAw3bopk n1xAG79HugqiCKvLxgxM7TcbOFiKQjJ+hhfnUTMNJM6G9OeS/zf5/tvLq+p+ZaFpHQgWoRCmpmrh ZeSx+DkKtLHZZUYtVS04QWgzo8I8JVFi3afjhMxORvTBvWGbH7q2CHjgIFmH5MmB7PGWk9hz03pM YeuCsDAnK2s/hFEQIjxSdR6tWU3PfQtDrR1aHT1ktbCXgGPV/YmyodpMjNUdG2fa9KXirC3behlj r9md6D8Rwqr8+vz87enj5+e7rLssbnyy17/+ev2isE6hbJBP/kexkZmqBh6jCOuRSgtfUoTiQP2B 4QA/W9Z0tKTGLKmxLqclDhWyCPokmgtBM358sMyfJQG8drQeRVkvo7qZ7ba3mgT094lGnutgvSoz QN2dzSNqON8OQ3Zl+bZorC1hKlTFVQ0nrKJtieUIiFzk+EA9oMHadVYIN9pNduOm83WFsWnFMoS9 vCPcbOAznQsQB/AiVWRnZDlYCmrLUdZi7C8NxMewuCXb8M87AkWdEW75uficCW6wIqLTgr+TvrTX kz9KfkDlK4jF0Zvt0+VYLdzn/lAhoXhl1ba5dCu2W8C+GAhtbrnQLG6GYnynr+brA1yN3/fuON/d RzEdEM9e/4+vzLwnuzc5c3BM3FFBF9XChNjKNy8dm2YZh7I7gi46Ng8eR37sMsUrmLRwDTdteFPj yCvhrW95ddObt2kTy8nldhlohS4QgLox+jqis4wunrQbRzuIroW/QTWTABWNNbtrDXFVnTYTuZ3u d0C8MOfAdQKcrqtUKUiAKh8qDKFuHq4gkYs/FKgsqPeDlSH01Ts9hR6GWNtUWRipOmszcMi9BAf4 sTBrt/RZb3xT5oz5YWXRxNN5MMUEnQPpCgmENgBpi4wFXhV4eFk5FLpWC0Kd7706AQ/u10fjiffr HXgRWrvAU72ZaXRk0kk6PsonzHTLqaDjmPxIm/iub3GYr/Cgbhg0hhQrYuhXPlbf0XNiDxHnhMCN jF8piCP0miJNI58csDMOoAWLXR97WFIYvADpjYIlvosMTaB7yDSVdLz3JszSe8ehjnZXcFCnAa/G DjZV+Lk4TZwEKZFA+FGGYJkKMHT2WkawRLEl4dSzIX6M9OmMmPauOp5i12h6eRz0a1YnqRuBmZSI pzCgDhxmbn5IcqPExRICKE5Siz2cxpUiI3oC8FEwg+iuCaCmfW8A9iQBtCXpOxEyISfA1hUzbHEv rHDxViR48oBYiyxRW5lD1/uPFbCmKUA0ST5x0AnbV3zzRCY+nO2xiQ90G3+ALP/sOFSg14Yg9FgT LmDbEVDFrgnKIB7UCf+vVK9GOPpyEnwtEqVV2mWs9nwHM0NSOSJMtJsAvAdmEO07DgZhFKPlGQju aFRlCNEFgcFTPdk7vQ6EeWGIVEUAkQWIsQ2dA7phrwrE7ogVUEDe/lbMebgoiSscLzx8swxc7PVg 4ShJmsTIdjpUV99zCM0wGVIB8X5TGdBeXxh8d0TWtRX2RkRm1OB3SiBY3imDvQR5NroB1qvMJ54X FxgiBS4LEiLVueTE9THZWBj2+iE2RCab393uv6+T0KKworKg/go1BqxonJ4gDcPpsYvunoB4eycr YPCtn/rYc5LKgMlpQMfXAIHsH9aABX260xgiW+qo0z+FIcEOppJu23wndH/vBfMcB5m0go5nmeKC k0DeqUUao2dhgbzT2VzE3JbmsfITVC55FDc2adR56MkP5L843FvqhFkhOry2BocYS2QLJjaxNOSS hMHeeAGOxEXqJgC8XhJ6Z5nvSMRPbsQ4z84Rj7TrJS1rKS/Aw9lyiYTDZsmkCHHsSXcSOFLp5a1m uuU60XyrNXGiWhxt/nN1izn0RXMc8GiunLEnuDrkBTLaFgeSXn3qy0vJv5+fIDwafIBoycAXJLBG wBVw1l/wJVigEJHWjl7gfcwKH4rqTHErSYCzE2i578CU/9rB28vREn8B4JpkpKrsn3d9m9Nz8YCH pxYZCFM6OyzDEltx3rvHtultLgmBpQDbNlyLScBVkbW47oqAH22RpeVAqQ/UEvhO4KVFLUaAVdvT 1oxxozDwnO1xigXDg73a96SyvVcAfKXFvTCVsBfvoRdPz1YGCu7f7Ohgx34hB4trLkCHe9rYYgTK ZmkY5TN+p2hVtnEMrOOWEKMSa9orrtwh4PZId+d6TY40E3GXd1gq0FrbwR+EQzgrQ1/IgW9PgWZ9 C14G7RzwLNPvjG0IL0z3x18z4N7TAGt7I86svjCQBnRx+Qywd0RXDKR6aOzrZgcRL7OdBCAwORhZ ZPY51vVgu2eFGaF71ZisWuw4RKmtrKEpgWMoiH2J4GhRQTjKwl4DXoCu2llF+treSUcweiJsZwFm NemHX9qH3SwGujNh+CrEip35Bgr8R3sTDCeIsigVXqxMF9jlbx3D5XSxHFJatztL0kib2l6Hx6Jv d1vg8SHne/zOhGR80QIHNBc8/rrY6KvOyGB+3kTkjzVGoCYuLQmK8IYUj/a6+WxR0VGIszwEFvHt KaM30CbmUp7UaV5f0gFHXu2BzFdZ8CuMTw9guFQiwhnerMDA/2xsTjcBF4HeT4TdTllu5K5+IRoG aCL+8irCLfTuj3++vTzxJq4+/oNH6GvaTuQ4ZgW9WssrPLJebTUayOnammVbGn+nHEYmJD+aEUTm HB66PccGLe8/dk8HfUmfOGrVxWF334N+WIERF/vj9cPboWqzM0KalfAS5VgAJwJrXGP40nRgIL2X 1tm/Wf5v+Pru9PrtbTcAH6SyUesAIsv5UMYrb7im44QL56YRbzVHp2cfeCLqSQeIJ4b5xAekHtSW 4eLoQEVbrZ9PNJvfVhHXib29PP2Jjczl60vDSFlABIiLRR2+Zlwglx1jwbfgpgjvNn5T3MPUV7Rt 4JfUyF4bYqXdpPNbDBEyiAhrrbaXYDj0oALc8MMBxBmGoNLHYht6DwS9jcKE+J40vuOFqr2xJDM/ 0vzcSioEgvANolC4U98EVmpoUjeP5pLaO44buC5+ahcsReWGnuPjlu2CQ2iyO5u0BRl/uF5x7EJv RqPAMyoBxFR9gl2ojmtSt36bBFnG78KuigQ8RZw0SgpuNrEnxgUNNyXtwlB4yqprEW/NTDAMPeyp dEW3JQdytNeeXRKi768zmqiXVWtj6K5BVbpt41t4NA9zgjq7ihzIcGGbdLmI4noBcxI8pphMF7V9 ENDq5NEY8bmX6L4KZJUHP0TjVMjxYTorE9QhI+A+yaRWWZjK6389i50AaAqemrnA0A//Yw7YrZ9f QT8PuRel5gCjzHfLyndTswcmQN7rG0uQ0OT89fPLlz9/cv8l9vv+eLibzqLfIeAXJurd/bRKyf8y FrEDnC3qbbtUI+8sW6uAx0yj1CLS7MNQbFKS7myniWRLEPNxK5M91r6r33QuTTJ8ffn0abssg7x4 1GwyVPJk5IBjLd8MTu2wrcOE55SdrVWYeOpBkyM17FRwoeVQEEyVUWNErPU0POsu1kxIxg9TdMDM LzU+0/JGr+kUr0DvMtH0L3+/ffz18/O3uzfZ/uvQa57ffn/5DKGNn16//P7y6e4n6Ka3j18/Pb9p QcP1DulJw8AY1L6kLNUmteGRHePqpvgKGNYUgzQiwT+E++DG3rIWk2Tyf4w9WXPbONJ/RZWn/aom G4m6H/IAgZTEiJdJ6rBfWIqtJKqxJZck1072139ogCBxNJStmhmPuhsHcXY3+qA0gMj9EJrmUVH5 7v/+eIehuJ5fD53r++Hw/EuzOcUpFAmM/TcJZyTBtMwBO4srdpaCn0pB87Xi8MpRrURVQ/OSVloa WgCwQ3QwmvQmNkYwWxpoScu0eMSB0pnn0+X23P2kEjBkycQ/vVQNNEo1Xw4kFiurYXlWMWttMkzn KN27NR4XyoRJObdT4dok4KtznwJPnMx7nW9kzuRGwIZeWSykJBbxgtXodzWCzGbDp6DQ4ys2uCB9 QsOsNgQ7tFK/AMdUF7yibBuu80ctvLNCMcZ4KIVgNPbsqpeP8WQ4Qj8DEnRM8eCPLYURfbVFmFFU a4yMZGm1lhdD2seD49YUYRH1PC0MpobQn80MHG69KYl2jATnmSQFTy+Lvo9rFGZcZRXXH/2x+Khv fxxHTBBEPOiVRjxlDePIkyKJZg99b4VOBIWQoveWb8Eki2mX2F2ax2A4ikw6W+49HD7ULezUEh4a 6rgmCGIm3iErL98wOL7AIADrvSkofLbJJl+VJO13jwYY5aljXqYD1ybF4wOrBENX0QGu/dRIMNsI lWDa1U/6Zp/3sL06HatZI9q5GQwnKHzUQ2cZdvYAnRNxxDiCu7YbwOvd3XoxzcbTod4w4l4BM7pn l7t96CNjyYTbezMlOuVaf1PqyUaz1/2NiQVv99cSjdPCMe0eGkRGIRhqgZUV+LBvzxFcA5NhNSdx GD1iMyII/rTQRngU8ZZg7E1c63g8+HP948nk3ubntaDHPU/Be/celMHvzc1frnrjkkywTseDSXl3 FoCgP0R2FoMPp+jCL+KRhzqAtOfzYKKnpmiWWDakXUck/JoEFiFupCIp7FTdFsnTY/IQay/MfEWf T5+ZgHN/PbcGFuZCFxnFsM+al+z/unjygWbXaYG7m+1vhB1pEGZwcDmAPPO33be6+sZKpTgw1v+C f6kP+aeAO1bD5DYwMyeGgtlIlIhNFhM7ig4DVsJ5WauhTZexJEkSRHrLWvpHEjFRibBVtvBjLWG9 v63ILgR6zHKdO7FCCWXFhjz2WcigjqC2tXecWC2Vn8En2VXzmBpLqKaKF7EmxLcotH7WZUd3CyYM iO9rxpK+Hg+nmzKWpHhMaFXuKl/N1cZ+1GKANeQQHtpXqpyt59LNWXHJg0rnoR5apthyOP48U9eE fiBHVXG6CepISffIZARoXEqqiZYBcbw1Gl/UDNN6V8evU4NlDAZadu9VwbanEkRC/K64INv9pz+e GAieqvSrp6ylGCaEhmHlfNYve6MVqrbOSM4jOGQ8GHD7ZlUHBs1FLwxwnvJJGrYNCIR4TqjioCjI An9LgTDcEI1mBolV50iHVAJNK6EgLCsPtRftR9QlWsBaDZrGfrB1Lk7VMH/QET6k724Q7XqDMvla t6yqcXCMyMgO7WSKKMzqd9RxmeMgwQIzb/xMO1ngNzwdYqQ8K2KYltGs7bwA5mGyMGHQoNIvDgNr l6J+m64DmMk9yl2Dr+cft87y9/vh8nnT+flxuN4wP+I/kco2F3nwKCwW5dYuySJUM8lSiJ+tvREK iK0XMdFCc8d3cvgUVKvZV687mNwhYzyyStk1SOOwoMpsmv2Zpah+qsbqh2ANlJvJhIcFsZeNLEOj scqHKmBvgAwTR2AslYLXH71axKSH8U0qfuQqiNv2NhRxf4yGl6wJwJ+GjXWYet0ujAbSiiDJqNcf AcWf6mKEo35dlY5nW09LqqiCPQvsE4pCGace27PC4Ox0xj+Al7mzfkmBdQtKOeCjgf52JDGlN0Gf 0xQ8sqA4eICDh45memja8xavp1uSiDjue+hTQE0wj4Y9e8gJOzDZvz2vmqC4MMzTSpW15d6C5Rd6 3RVF+kJHO3BXRBPY14dARkeePSzEf+h5MwucMEwJyXKH9ozVuBTpBkfF97ohKXojHy8fkVlGzY2B 7EOCcwctgU96uNagJbnbU4bX7lg5jmCP8NC34MXQs+ds4g3tIWfAIQqs0O22En+jEAs7ihw7+F5W RZ8I3gqM3+z6fMzKtKI0zly4chU6cdtAR03GXn+mR5oQF2RlWXuLNBSnl8v5+KJexRJk3LDsvgIv g+Z6WRQVxNaAJOaa/VcSFo9FkREscBiEx5xrEoaAVGQR97zRYMX2rrMYRKwb9Qe6M0uNgnCFg+7M EfCzoVADxCrwYd931Dkc48u9JoFgjj1UeawQ9NXwyxp8iLQqwtLiGgKNBDuhFYLBpIe2qkW2reEZ 9SfDwcCC52QyGQ8tcDHyux7pIZ2HAPo9RypASRJkbMtiKiRJsOz19PQtElH4PQ/VbikE/S7SXw53 Vdnv3xlJTjC0R7KN32vDJ9MN0hRE/jVEK4MgKiZeF1vca9oboRGhW/y4a/dxnfms3BitcstfbNMS TdfOufo0ztIkSErtLBEo/BGP45JAYU5jkXFdi53IYX4YewZIcxBdFWPxKNE0XLP9zpdkiYfTKNcT oksUlrvIIsIdkyTWsCxowOkCazBK0wzsEe5UyF0l7ApzsrWBm3CW1yZAVlMiPrsPKZwwkTYc8Hir IkPW/vr34aakHmrDX+oYTY0EqikYwjk2+PMwiHzohmYhsIzB0g+6V+jxACGqaI3hEaryNIr01LFQ lCsIEoex7XaO60cXaeTPQ1SuX0K2XRopMSLZD577Kk1XayWhuCSE4IjsFgs0gSpOk7oSlV2ooYjm tm2qWhb+CqtLfZHFKgWvSZdeXiHjr7c4pyJJinCoBTw3UEMnymDrFczAiRmbIqLEUZ8GYzQesUE0 9UyxocEWjN/qVjS7X0m2jdHebegQhYukyMCdKqthW2Rhwk2sa6UGfT0//90pzh+X54OtfBZBPVWF r4DwYHza2ityarTFPYcgtQTbseVoMFNj06KtNgVJGM1SJfKxjAtdxUtFXyNVz0D6ZpQ19A0hG5W1 Ygojjo7D6XA5Pnc4spPtfx64QVOnsNU5fyLV26mD6cl28sPb+XZ4v5yfkWeMAHxJwNBEe6hooNbt 1HQJqVW09v52/Yk0lMWFov/iP7k20IRxHfkCrAHdGACY2Fqrp8Sd1HuicPBwhW5D/eoS76Yp7fyr +H29Hd466alDfx3f/w/MoZ6PP9jg+7q3BXl7Pf9kYAhvqT6wSrYfQYtyYF/14ixmY0VQ9st5//J8 fnOVQ/GcINllX9qgmw/nS/hgVFKPy8M6pLR9jmmq/lMFwhrv3/HO1TcLx5EPH/tX1mHnF6H4RogC H/BQrvDd8fV4+seqqL1v4dlmQ9foQsYKN6Zx/9OCaI4JyDG5mefBQ/OqIn52FmdGeDprz2oCxe7Y jXQ7TxM/iEmiCU8qWRbkPHZjgoa51CiBESrYzau8+yjoJtM8js5IUYS8rPYRlntE+71VsGG8rWL5 tyspfyrgFQT/3J7Pp/r1T6mm+UhBLvPAo1dzTTIvCLu9sZfTmqC2JtWBSj5vs0KG6veHODvQknDb 63s0WZkMe6j5dk2Ql5CHW9F+1vAiHmopq2uwdMFSbjN2JusWcSHKusMt/Vv5IQwNdZDxZgsgeBCd l1quUgCHD8XI62LaXcByfwZFhwQwbs6vhrngfSjjrMlSFeYPPHOnHRuBYeC+VjtBWLdCim5cqx5l aDII1m54rzWXWxGUKqf8W8fMchoX5Qx+UT1Jh8CLZ+IFlkRREECopceCcncNYRnDxIji4/uVnyPt 18oA3gytqIFaYJ3eSqCbTswo5DRNCCwRzyWhsMK1/UHFRJxc25sqklf+hmGKMMhz7dlLw5Jogy4+ RgMrKYx3k/gBumjWEDOmMGq/zFFHtiOVN0lixuWH1KyiQcIIoJuSN0SybMlE7ir249EINe4EspQG UQpqlNwPCpV70CdNqRuOVkrweAQxtb01s8MFzKL2J3b2vZ1Px9v5gr3Y3SNTlqAew8vSOcpdk/h5 6vCZNfWRUThLNn4YKxzVLAIPPnYRxIECTeChd6X9phEJleMGKEqF7YUfyuSlc14jdneRXf3gplgu EIUD52bWxs/mZBNmLNvO7bJ/Pp5+Yk7E7ABCJ0xsZjPkinQitqtUND/ZAr+p5mg+Oq5vZ5f8jovm 4jn34/V2fH89/IP76cZrJtb7i/HUw47fGlv0BrqRMcAd3laA4hKSssqxPijXe5opknwRqoIO/IIT Vnq6SXAUxnq6AgYQrDtPu/5bH/ucihyCDnF8nZRoxgzQcamfYbAWIjfUEXwZ+PbVxrVORRGwiYIH 4AJtgOGYLEW0q4hdzV7lsNlnuD6eVoNhBgyj3fAD4MAgDjev02hjwDuWFpD5jmLqe0lTBHSdC08P vbzrZZ4jV+skLLl4qvTp28z39F8mj8Dai2c8OrsieAUhGz2GUfmLBsgD1SNwLlaGyTxFcOyfHSnL XL91WyQ6LCilHBxkGL7JHjcFv/1hxL/po61AjVHihJBNDvyYlUHZiSbf1N8P67TULtjdH3oBeD00 AUDSBJLQCdcbR6Et0Z2JdrLjuNJvXjiXeUptZHPW58ZHSkj7Ue2ANDi+SvhRsDDXckPDUxYQtmwf K8seTKO1HOUFmIkzgcNJv20jmEOuA5dJWhJGd4Zl7vFK8HNEu8fw0Qh2oBfS16SE1dEH0gytPmRi I+A1kx2QIUG1/WjilTuKyfn8ydMVFolRwHCgG2heNGkOWznVtudrjnmOEc6a7UAQM1Wi3A/qT3gA 4QofflfMiZoBjecoqslghWtDIMDG7nyYx2W10R7aBAizsuE10FKZJbIu03kx0E47AdNAc362K/uA MoBi+SVszVSClI005NNVa2lhECIphGyOFfujsVMICYm2hKdjjKIUk1CUMmHiBzu0QUhxzr8MxcYB G5c0a6zS6P75l5YZs5DXhLKYOIgfjfguEXjI9ZMuchKrG0agrOtIgNPZN/jsKCwUCYejYOlrj20t 9M7hpxA1nUF5w/qrxQj4n/M0/uJvfM50tDyH3AFFOmUiiDa/39IoDLTD/ImRoWfI2p+L5dI2jjco tDVp8WVOyi/BDv6blHiXGE7rTlywcsatuBFE2HyRsjHcg1iLGVkEXwf9cXuemfULiCwTpqD5ZbLy 108ftx+Txk0zKY0rhAOMqeewfKtqKO9+sxDCroePl3PnBzYWdUo0TcwE0AoSf2JiIyBBwi8jqwyM BAQkC42s2CoNXYaRz2Ryxbw4yBN1tAyVTRlnevc44C6vICgkL6UB2eb2g9FA0yzNmSiXB4wpVl/U 4E/LKkkx1R7Iph6wz+R757Eog1g9zHIwQrbYLuK7rk0yNxZCwC8ruQ1MYG3ebGSIramWsqr2PXRe QAgsBx9j95ODXEz1zCIPXF/1bS54CIXTriH1Gu+qLGmN2bJLmCHnc0fQMEFYrOOY5Di3W1dkLIYG rvIjdvMYH21QgW0DhLaEFMop5yjcH/+k+XcLGM/cpyw8duRq1yf/LdggI/FijYpLzMqgeFiTYqlP jYQJxshKNoVSiZsVrcWHgJtZBTEcHWFPTVKuBrjXpEoHCn8jwkJDx2fzXkX1SNsloyc0yUWLVq79 trkntK6n4u7QVwOuR5rxJ+ynAK0iiGeB7wd3q5nnZBEHjNur2Qioq98wVDtrB8ZhwpY0ugfT2D4O MteGfUh2A+MgYqARDjKuqbxtSYOACUvgV7PHOtKYKukaBMa6dtLN0hIz0RBkbFNaDWWMs0GvNnZy b7R7e22NrYCIYwljVuyRCPLUGnMJu8OKNSSupd4QPIWZ3RpkpIVIi+JKjsI4LL/2Gh4iKLdpvsJv q8Rg6OH3xjN+99UxERDHVcyRmtEYQIqtQ4UsyCuH12OalkDhLAmyh3AaYRIZtqQlEbAcQQRE+of5 YcGz6q39DAuGyEhwiy4mmsFxFaaKSSs/sY2fMBRag3Vkq/bIWSe5liqV/64WWhCQjLJ7CWDVKp9p 7rc1ufyMMOEXGAR7pBBSEB85WcgtFgTZEj8iaKgvbPgt5BzUdQOwkCJ22/as8fHR69gGBExuICYk HraWU60zCFvtxrv2Dkda6pIW6jA5b/CQiDernPGwBeH/0L9ajnOof33i0rgQ68huUNMMn6lEdSNl P6Q08vXT8XqeTIbTzz0l8gsQSNGmGqCZGDSScV9xkdcx46HeboOZqF4JBsZzlnHXNnZhRl1tD+s4 zBLWINHcWgwcZq1tkAzutI5ZLhskozvFMfNljWTadxefog/2RnHPMUVTNeeb3qux9cFMtIcVVmEW hVrZnjfsOmaRoXo6ijuY6p2QDRmUEuzh4D5eyQCnHuLgkblIJMK1dyR+6vgER696jm7pXlGAWaXh pMJOvwa5NicqJhT4JkfMdklBAwjm+QeSpAzWOfYO15DkKSkhAvEbUvwxD6MoxHzBJcmCBJH+ON5g 8sAR6VtShOwL8HBeDUWyDkt9oJuxEVGTrUrLdb7CjYWBYl3OtZATfoQ9BK+TEBa8woAKQJWA4VMU PvFA/o1ruGphWW0fVEWF9vwnrPsOzx+X4+237eQO95iqjXkEjerDOihqiUNROgd5ETJ+kckijAx8 enXRXyjVA9+6Gtu6K39ZQYZo/iW6dFrL2uDqXHBrEp72GWdZ7snlEul6rmBMHWjki3Sd4xmT4QmL co19zAZ/GUSZqrtH0RC1bvn105fr9+Ppy8f1cHk7vxw+/zq8vh8ujYJPKgDbLyVqhLwi/voJDHNf zv85/fV7/7b/6/W8f3k/nv667n8cWAePL39BWLWfMI1/fX//8UnM7OpwOR1eO7/2l5fDCZ7r2xlW gv52jqfj7bh/Pf53D9h2+inlkbdB411tSM7WflgqQfjuUUE4dXUKOZCND12xFZtgY6tQMM4Ii/Vn UEATrnrAaI5xk1SJk2jVBFZz7EBwhFJsLQHwMZJo9xA3tpLm9pI93aW5EEEVWVgEqwAFqwmLg5hm jyZ0p8ZqFaDswYRAPIsR2zY03ajqI3Dsax4rLr/fb+fO8/ly6JwvHbE8lZUgvABJtCBZqKqkFLBn wwPio0CbtFjRMFuqm8lA2EVAAECBNmmuOe43MJSwYX+tjjt7QlydX2WZTb1SbUdkDaDcsknZncI4 HLveGm4X0N8SdepG9hM2DibVYt7zJvE6shDJOsKBdvP8j2+uMTgaluwGsMiN2AMC2NhZi/eJj++v x+fPfx9+d575Ev152b//+m2tzLwgVvW+vTwCavcioP7S7gXNfaRKdjpvAm847E1lB8nH7dfhdDs+ 72+Hl05w4r1k27zzn+PtV4dcr+fnI0f5+9ve6jalsT0RCIwu2XVLvG6WRo91gDhzVy1CiBRm75/g IbR2Pfu8JWGH4EZ+xYy7fcDNdLX7OLPHjM5nNqy0lx5FFlpANf1rDY1yPIdXjU7neFaNGp2xTmLS vMDuysIaAcZwbHNi78Rk6R5jCD1Sru3ZAR1/M5TL/fWXayQZN2h1ZBkTiozH7u4XbUQh8bB5/Hm4 3uzGctr3kJkDsAXd7ZZagP4aPIvIKvDsqRZwe2pZ5WWvC1ljrUWNntbOoY79gdWZ2B8i48SgVZbd Gao4ZGudm9Ziw5zH4OzrLg34UdfqHwN7wxEGBi9saw8uSQ8FQs+t72QIrG4GhnATCLhvA+O+XW3J mJ1ZukAGoVzkvSmqlqud/zMR6EJwCsf3X5q3Q3MCFUjVDFo5UkhJimQ9C1ENYo3P6QCpmDFOW9MF 06SBcNRMWERjsEgK4YMscgjYON0zsIWjboX1rRPY+2LO/yJ1rZbkiaDReepJI1FBkBUl7wPkuA9s losxBZlm6t4sk4EFKwNijUS5TWGobVoBb1XVYoGc394vh+tViBLmFzPuKiKOLE3yKnhCw3YI5GTg IasBf7trkUts75uPdMJNb396Ob91ko+374eL8C80pSK5bouwolmuRq+S35jPFkYMKxVTn/gYBjsk OQa7XAFhAb+FIDcF4MSRPVpY4A8rjIWXCLwLDbZh0+2l3NDkqLWBScVlA/uMIgjDAF2ShrGqsPJ6 /H7ZM9Hscv64HU/IfQvxSwiyHTlcHCs2or7b7ACWNg2KE1tTKW6t1YbozpIFmobXvNsXjSW10dhx BHB59TLOGV6Ne/dI7n+LJLu7pZtvbnnY+1/vuAWXW6QX4JKRoP7wLZ6UMQSx9Oz7tsWCdODGQo+6 A4IsfaAR5ov3+wDJm3Y0sKUpQFLK7me8+RgyUtJqsYscH69QOO1xSPEYxwEozriyDR792n4oyGw9 i2qaYj3TyXbD7rSiAWjJQgquAsJPQFEDrmgxAQvUDWChDoxiLMMuOrAgF0Jh1alikUDciUCYnnCD ZOhBqFw7h8sNvE+ZsHXlaViux5+n/e3jcug8/39lR7YbN478lSBP+7AbJDOGd/YhD2yJ3a20LlNS 3J0XIeM0vEbWjhHbmMzfbx2UxOKhyQQwkK4qUeJVrGJd/z3ffL17uHWzd6Jte+yx8CBfShrhJhvi u/evHSuYxetjb5Q7IKlbx6bOlTn574tTc9PAYrDESNfHiSeHx5/oNNdjSfJKvhxqRe7ICTZuQG2H 48pEq6qAmq7MSC5sbhyl8ryuNwVInpgy0FlIUzQfCKV11p7GrWkq7/LCJSl1ncDWurf1qh0HPZMX bk07U1R6rIdqg2kLF68TWj3K9WPGUoPoA5BV7THbs2HeaKHMZLBPi17cWmTvLiVFqAJlY9EPoxDA PC0Mfi6X92KTEwZ2pN6c4nqKQ3AReVSZ67S8hRQwP/F2L8UBmQmNLHNsqsCuQ2Uzc64irHbpevSo Om8qp8+RLwBJb3ahW9pCKPuCSTi6daGQUApnzU98BHpQEDAjLSM01jKJj1H6i/iXgFi5kN8LcIz+ +AnB/u/x+Jsw0FooRVlG1V1LUCh32ixQmSoG6/ewKSIvwaxqK6/YZB+C1uy6tcClm+NOOCE5iPKT SMe8IMilLgTj+IX7n275KV3RjIJjNB+7pmyEUudCsVlneW4y5+YDfqCLb4eGDqNc9yfVdU1WANf4 qGHwjMiTrCgszo3EZBDlK65UK+F+ImoMYgkA4+bUigo/NfWA8cAQd/3ew1FmbdWSFO2e7cjWEKfy 3Iz9eHmxcS2YiIHxKJUBxtfstQ2KXuyR+GSbTmvb7UqehaVJzrbiW8fyK4fX7spGrDz8vcYM6lJ6 6Wblp7FXoonCXKEsGnM1q9pC+NfCj23ujEFDBbd3cNoaZ1Y7DGpu/AMCJxCjdaUaBQBswHXYmqkJ hxODaxlTa5YgzUToBq5TNW7Lodt79tWAqMpQmnQ+Fu1iuW4bp1sdTLQXq4mW03oXHelZqAhkBWlL nEQpgj5+v3t4/kpFNb7cn59uQxsyhSMdRuvL7EQFEBi9oKKBprgHGwrS2pUgPZSzWebfSYqrASNH LpYpYRkzaGGmyE+1wvJcfqp+F8y2OHcET9WmQQlZGwN08Ywj+CD8gdSzaTqRNCY5YPPdyd3/zv96 vru3EtwTkd4w/Hs4vPwuGTa6wDAAasi0qHjnYLu2LOJmdIcov1ZmG0/8v8s3GGBZtIlc9Lomg1M1 4C0bBjTGYmaAy2oOxaQ02GKptsB1MZ69iiesUDm1DzRuB/cAB1EPPQl7FeUH3DuQy8lpoiq6SvWZ w059DH0eRpSewoHcNiYDtWSo+RHa3OOvv8TNFe4j7MjIxQLjwv3PLgaRNcvu0/z8+8vtLRqki4en 5+8v97IoQqVQXwRdw1w5TGwBzlZxnsL3b3+8i1Fh4XpXhA5xaIAaqODH69dy+KX79ASzXqBr82a9 cYmuwlD4lXYSzgaUfI946gHWsPs8/o5pzzP/3XTKRt1iSnZVCp2csKn3gW4Lj+IhUHB6lSCN2erc yUFgP+Ww5xhsFFxqWh+GuV2HOyOHBDVW1504vAjeXNdaRFYStG2KrqlT6it/BYcfxjYtjYTtAhyM JWyCsBMTJr11yQtkQP4ueDMwmdwiNabhSPAcbuRjFb75Y0W2tUQAzExjNj63BWC7Az1j10UObUvC xVsiL2XEynhykiPyW4lSWTyFDhfAUuBsatAT54OXQiKcBBosjGLdwnbxO5VAWo+fg8L1HN5NMhbj CFDUqJtls4AAyqqP712zrEy/590e0xn5C5roXzXfHp/++ar8dvP15ZFZ4/7zw61IatFirVF09Wni geICjykwBr2UEEH9f2jhQ3oYRlfF6JptHyLnl2J2WNIeXEJ6U+QL0sTz5ywnmzK5997EokHkuB9g /HvVxX0er68wPW+2z5uYWE93cPwumVBkbeDZnRCOqi8vVDc+5De8QwMHewIHUdCLC1WkSX+hoIB5 0Lr1GBPffqF3w8JV//H0ePeAHg/QifuX5/OPM/zn/Hzz5s0bt/wyphegtikteSToozVYsMemEYiO MbWB/UoyE9QPh14fRRUpXvlLQlDJC2ZybwSurxk3drBb0esw/dLrTkT2MJQ+1lPlOLiwDV9mEclX TJVvS63b2ItwSMmiNBUzku/E9Fw9RoH4F2JLJ1dVmL8x4UKD6o3IpUByHzobDjVaVmHp8s1V5Mji Iy/Bqb7ywf7l8/PnV3ii3+AVbSDFy2h9hrUxYLcLP2Di/dHYXTyS6zFXvUJ9xgytvTn39nXiM/1X ZaBV6LoH6S5MumWyIbbvU9MJ5JS+cUzo/YgXz967GExOgsnotHf/RE/JmUSQvnJje6ZsqOKD5TgD i2RZ3QQlva2OR2sV5Cc0wyQKZCsQrrJT38T2Ch3Es+5An+wcMxK7M6rdx2kmjXXrdZobIOBYUdYo 8gJ1yysQCQbt4yonSpDvanc7cqJq+yC3siC57UzyKbpi4NDsKNDK5hjqJ1tK8FnuQdxagqUxdDRU fhG+KClaYVUCqQyzJ7mlCRbz47c/zt8fb8SCXri/E053TQJXTL4AIkY6sjUlaGEpFVhov39/eeHS 62rARZMH5nD092/xyHavcBb8Bww9K9VGl+NWK9oyJADLlE4JopUgPxh+zFkNQkec504yaFeMfOG0 ToddxLs6FHdAYewir7aURxEAeeSbW885l6EwDR0caZvyFKcfTTNWIn6CD3Zhe8ShV6Y8+fdBHoI8 sRs3PhQJLHBshr4deg7Fvnj7n8sYTVHPJO9+mQt/bVVR8tWpbLntMaZQ3CEFy9K9oevPT8946KFY lmF+3c+3ZyekA9OcOSUQKOvZkhhbgCXDZZg+0o6bcIveTFhiIolUVFHlpGhEmE9b/bUOMxM3W2JK 6cbjoT66J3+Bn1SVZvbrf/Wfy7xR6hYHsewcnFJSmkmsijWPFJU66CmwJni8aEi0hXUV35xIs0WJ KIEWHzdfj6wxzAPGCfjqHChxALb83o1DttTLQkAye/FHF94GrwuiMT9IiZd0ZqAkBsr1M2cksAll tOK98vbHxVv4Nx8ocBChZRfXGxceqsUJXR7yRHJL1m0KqhqSyH9GJFVRUx3NNEXy+QMl4u/c9GxR us0kcxLPTNOZDbpvruBd81aSirKFgVY5rjfG6TXSeJbtLy/W+bwbe5IkolHc6yOyuJVhZqsFW5Ri S2mi6jhERj59AETfxPcHEdCBHK/MSng+1VbxVJskTTEMftJZF3skc2IaP93ApCkMGth73HMro5wK mCdskcfc0XinHJxkt1OH0WTpD/THKmBz3jCg9x/mSFsZy3ZtItApZo9Gn6D6wsTvCsy1CydR1HNF thar1CPW05TKapIV6Xf0bGRHHRexsCHXTSal5sAXd8GTPGRUQndta1DMYTLjADMyEDwUrPPVZlAn T1wvTo34BJPkp6tZr5NhcXFZJIidY5Pi/wEEZNxrB50BAA== --===============1704385479371000790==--