From mboxrd@z Thu Jan 1 00:00:00 1970 From: kbuild test robot Subject: Re: [PATCH 1/4] lib: Update LZ4 compressor module Date: Sun, 22 Jan 2017 00:16:10 +0800 Message-ID: <201701220055.yZtAR1r9%fengguang.wu@intel.com> References: <1485011351-7463-2-git-send-email-4sschmid@informatik.uni-hamburg.de> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="envbJBWh7q8WU6mo" Cc: kbuild-all@01.org, akpm@linux-foundation.org, bongkyu.kim@lge.com, rsalvaterra@gmail.com, sergey.senozhatsky@gmail.com, gregkh@linuxfoundation.org, linux-kernel@vger.kernel.org, herbert@gondor.apana.org.au, davem@davemloft.net, linux-crypto@vger.kernel.org, anton@enomsg.org, ccross@android.com, keescook@chromium.org, tony.luck@intel.com, phillip@squashfs.org.uk, Sven Schmidt <4sschmid@informatik.uni-hamburg.de> To: Sven Schmidt <4sschmid@informatik.uni-hamburg.de> Return-path: Content-Disposition: inline In-Reply-To: <1485011351-7463-2-git-send-email-4sschmid@informatik.uni-hamburg.de> Sender: linux-kernel-owner@vger.kernel.org List-Id: linux-crypto.vger.kernel.org --envbJBWh7q8WU6mo Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Sven, [auto build test ERROR on linus/master] [also build test ERROR on v4.10-rc4 next-20170120] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/Sven-Schmidt/Update-LZ4-compressor-module/20170121-231418 config: x86_64-lkp (attached as .config) compiler: gcc-6 (Debian 6.2.0-3) 6.2.0 20160901 reproduce: # save the attached .config to linux build tree make ARCH=x86_64 Note: the linux-review/Sven-Schmidt/Update-LZ4-compressor-module/20170121-231418 HEAD 0472409e2a1c442b51502961aa6d83b866218953 builds fine. It only hurts bisectibility. All errors (new ones prefixed by >>): In file included from lib/decompress_unlz4.c:19:0: lib/decompress_unlz4.c: In function 'unlz4': >> lib/decompress_unlz4.c:75:22: error: implicit declaration of function 'lz4_compressbound' [-Werror=implicit-function-declaration] inp = large_malloc(lz4_compressbound(uncomp_chunksize)); ^ include/linux/decompress/mm.h:83:33: note: in definition of macro 'large_malloc' #define large_malloc(a) vmalloc(a) ^ cc1: some warnings being treated as errors vim +/lz4_compressbound +75 lib/decompress_unlz4.c e76e1fdf Kyungsik Lee 2013-07-08 13 #include "lz4/lz4_decompress.c" e76e1fdf Kyungsik Lee 2013-07-08 14 #else e76e1fdf Kyungsik Lee 2013-07-08 15 #include e76e1fdf Kyungsik Lee 2013-07-08 16 #endif e76e1fdf Kyungsik Lee 2013-07-08 17 #include e76e1fdf Kyungsik Lee 2013-07-08 18 #include e76e1fdf Kyungsik Lee 2013-07-08 @19 #include e76e1fdf Kyungsik Lee 2013-07-08 20 #include e76e1fdf Kyungsik Lee 2013-07-08 21 e76e1fdf Kyungsik Lee 2013-07-08 22 #include e76e1fdf Kyungsik Lee 2013-07-08 23 e76e1fdf Kyungsik Lee 2013-07-08 24 /* e76e1fdf Kyungsik Lee 2013-07-08 25 * Note: Uncompressed chunk size is used in the compressor side e76e1fdf Kyungsik Lee 2013-07-08 26 * (userspace side for compression). e76e1fdf Kyungsik Lee 2013-07-08 27 * It is hardcoded because there is not proper way to extract it e76e1fdf Kyungsik Lee 2013-07-08 28 * from the binary stream which is generated by the preliminary e76e1fdf Kyungsik Lee 2013-07-08 29 * version of LZ4 tool so far. e76e1fdf Kyungsik Lee 2013-07-08 30 */ e76e1fdf Kyungsik Lee 2013-07-08 31 #define LZ4_DEFAULT_UNCOMPRESSED_CHUNK_SIZE (8 << 20) e76e1fdf Kyungsik Lee 2013-07-08 32 #define ARCHIVE_MAGICNUMBER 0x184C2102 e76e1fdf Kyungsik Lee 2013-07-08 33 d97b07c5 Yinghai Lu 2014-08-08 34 STATIC inline int INIT unlz4(u8 *input, long in_len, d97b07c5 Yinghai Lu 2014-08-08 35 long (*fill)(void *, unsigned long), d97b07c5 Yinghai Lu 2014-08-08 36 long (*flush)(void *, unsigned long), d97b07c5 Yinghai Lu 2014-08-08 37 u8 *output, long *posp, e76e1fdf Kyungsik Lee 2013-07-08 38 void (*error) (char *x)) e76e1fdf Kyungsik Lee 2013-07-08 39 { e76e1fdf Kyungsik Lee 2013-07-08 40 int ret = -1; e76e1fdf Kyungsik Lee 2013-07-08 41 size_t chunksize = 0; e76e1fdf Kyungsik Lee 2013-07-08 42 size_t uncomp_chunksize = LZ4_DEFAULT_UNCOMPRESSED_CHUNK_SIZE; e76e1fdf Kyungsik Lee 2013-07-08 43 u8 *inp; e76e1fdf Kyungsik Lee 2013-07-08 44 u8 *inp_start; e76e1fdf Kyungsik Lee 2013-07-08 45 u8 *outp; d97b07c5 Yinghai Lu 2014-08-08 46 long size = in_len; e76e1fdf Kyungsik Lee 2013-07-08 47 #ifdef PREBOOT e76e1fdf Kyungsik Lee 2013-07-08 48 size_t out_len = get_unaligned_le32(input + in_len); e76e1fdf Kyungsik Lee 2013-07-08 49 #endif e76e1fdf Kyungsik Lee 2013-07-08 50 size_t dest_len; e76e1fdf Kyungsik Lee 2013-07-08 51 e76e1fdf Kyungsik Lee 2013-07-08 52 e76e1fdf Kyungsik Lee 2013-07-08 53 if (output) { e76e1fdf Kyungsik Lee 2013-07-08 54 outp = output; e76e1fdf Kyungsik Lee 2013-07-08 55 } else if (!flush) { e76e1fdf Kyungsik Lee 2013-07-08 56 error("NULL output pointer and no flush function provided"); e76e1fdf Kyungsik Lee 2013-07-08 57 goto exit_0; e76e1fdf Kyungsik Lee 2013-07-08 58 } else { e76e1fdf Kyungsik Lee 2013-07-08 59 outp = large_malloc(uncomp_chunksize); e76e1fdf Kyungsik Lee 2013-07-08 60 if (!outp) { e76e1fdf Kyungsik Lee 2013-07-08 61 error("Could not allocate output buffer"); e76e1fdf Kyungsik Lee 2013-07-08 62 goto exit_0; e76e1fdf Kyungsik Lee 2013-07-08 63 } e76e1fdf Kyungsik Lee 2013-07-08 64 } e76e1fdf Kyungsik Lee 2013-07-08 65 e76e1fdf Kyungsik Lee 2013-07-08 66 if (input && fill) { e76e1fdf Kyungsik Lee 2013-07-08 67 error("Both input pointer and fill function provided,"); e76e1fdf Kyungsik Lee 2013-07-08 68 goto exit_1; e76e1fdf Kyungsik Lee 2013-07-08 69 } else if (input) { e76e1fdf Kyungsik Lee 2013-07-08 70 inp = input; e76e1fdf Kyungsik Lee 2013-07-08 71 } else if (!fill) { e76e1fdf Kyungsik Lee 2013-07-08 72 error("NULL input pointer and missing fill function"); e76e1fdf Kyungsik Lee 2013-07-08 73 goto exit_1; e76e1fdf Kyungsik Lee 2013-07-08 74 } else { e76e1fdf Kyungsik Lee 2013-07-08 @75 inp = large_malloc(lz4_compressbound(uncomp_chunksize)); e76e1fdf Kyungsik Lee 2013-07-08 76 if (!inp) { e76e1fdf Kyungsik Lee 2013-07-08 77 error("Could not allocate input buffer"); e76e1fdf Kyungsik Lee 2013-07-08 78 goto exit_1; :::::: The code at line 75 was first introduced by commit :::::: e76e1fdfa8f8dc1ea6699923cf5d92b5bee9c936 lib: add support for LZ4-compressed kernel :::::: TO: Kyungsik Lee :::::: CC: Linus Torvalds --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --envbJBWh7q8WU6mo Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICFiHg1gAAy5jb25maWcAhDxLc9w20vf8iilnD7uH2LLsaL21pQNIgjPIkAQNgDOSLixF GjuqyFJWj93k+/VfdwMkARAc+2Cb6MaDjX53c3784ccVe315/Hb9cndzfX//1+rr4eHwdP1y uF19ubs//HtVyFUjzYoXwrwF5Oru4fXPd39+OuvPPq4+vn1/8vbkp6ebj6vt4enhcL/KHx++ 3H19hQXuHh9++PGHXDalWANuJsz5X8PjBU0PnqcH0WijutwI2fQFz2XB1QSUnWk705dS1cyc vzncfzn7+BOc5qezj28GHKbyDcws7eP5m+unm9/wxO9u6HDP7vT97eGLHRlnVjLfFrztdde2 UnkH1oblW6NYzuewuu6mB9q7rlnbq6bo4aV1X4vm/PTTMQR2cf7hNI2Qy7plZlpoYZ0ADZZ7 fzbgNZwXfVGzHlHhNQyfDkswvSZwxZu12UywNW+4EnkvNEP4HJB16+Rgr3jFjNjxvpWiMVzp Odpmz8V6Y2Kysct+w3Bi3pdFPkHVXvO6v8g3a1YUPavWUgmzqefr5qwSmYJ3hOuv2GW0/obp Pm87OuBFCsbyDe8r0cAliyuPTnQozU3X9i1XtAZTnEWEHEC8zuCpFEqbPt90zXYBr2Vrnkaz JxIZVw0jMWil1iKreISiO91yuP0F8J41pt90sEtbwz1v4MwpDCIeqwjTVNmEciWBEnD3H069 aR3oAZo8OwuJhe5la0QN5CtAkIGWolkvYRYc2QXJwCqQvFg99Lpul6Z2rZIZ9zirFBc9Z6q6 hOe+5h5v2F2ULJjxbqxdGwYUA7bf8Uqff5ywy0EXCA0K5t393a/vvj3evt4fnt/9rWtYzZF/ ONP83dtIewj1ud9L5V1k1omqAHLwnl/Y/XSgOswG2AgJVUr4qzdM42RQmz+u1qSG71fPh5fX PyZFCgQ1PW92QA88Yg1adVIduQJGIF0ggBnevIFlBogd6w3XZnX3vHp4fMGVPb3Hqh2IKjAb zksMw80bGYnEFhiUV/36SrRpSAaQ0zSouvKVig+5uFqasbB/deWZkvBMIwH8A/kEiBHwWMfg F1fHZ8vj4I8J4gPLsa4CSZXaIH+dv/n7w+PD4R/jNeg98+irL/VOtPlsAP/NTeWxuNQgFPXn jnc8PTqbYhkIxEeqy54ZMHqemJcb1hS+kuk0B3XrU5m0Q+IV6bZIggkDtwWRH1gd5Gb1/Prr 81/PL4dvE6uPFgjEisQ9YZwApDdyP4egXgTVgxieZwHohawZ2NHEGGhc0INwyMv5crUW4VIR YFp2pIW3MKmgBFkQBTyZHHSl1QSBstQtU5qH2+booWjZwRxQ3ibfFDJWrz5KqPN8yA4sZYGG smJofy7zKkFe0ly76bZia4vrgf5sTMLEe8A+U5IVOWx0HA38m54Vv3RJvFqi1i+s/0JsY+6+ HZ6eU5xjRL7twXgBa3hLNbLfXKEmrGVwUTAIJlnIQuSJO7KzhGX8cY4dLbuqWpriqSpwdcBm aCIneUN0fHAB3pnr599XL/Aeq+uH29Xzy/XL8+r65ubx9eHl7uFr9ELkduS57Bpj+WQ8zU4o E4GRcElVhDxH9zrhJl4h0wXKXM5BHQCiR8UY0u8+ePYMDBj6mDocst5YtBABLhJjQoavSdRS ebfSiZtWHOxx3vnUgEcwt3ClKU2kLbJ/3j4YwtnwClWV4JRht54igSR5h81By/E+kzJ1BvIK wFdvTj0tLrYuXJmNELmn4UriCiXoPVGa89MTfxx5ANx/D/5+dA6aWkRz338I9HMHcZf1UcAN LqxkLvlfTQchQ8Yq1uRzB4+8ygy1EyzTNRh4gF/Zl1WnF71GiBTen37yhDXeYBK9ADJaT97g 2YsEufO1kl3rsSQ53sRgfmQJVi9fR4+R6Z3Ghu08uai2bif/sNb5nGCLx+v3ENLwjPkkdxC6 Ds8MM6H6EDK5eSUoW7DSe1GYTZo/jT83ieK2bUWhl49bgihc+eRz47MgAlgSIief+sDNuLiD zFYo+E7kgbJ1AMBHbbF8JhD5MjFvZn1HBC3z7YgFpjK19IbnWwpkUYUb6YdQ6KyBkc79OKRD 4fCe0THzn+GVVTCAlPCfG27s83RKkiN0v2csNOFc6hIDqlbxHExkSgxUGBEjTwKpKaBQHnvR M6thNespeOGAKiJXHwYiDx9GQsceBnx/nuAyev6Y2h0jFqC4jUjefv0/P5jJxyAT3Se6d8wH NaFOXsAOQ/vYA2YNhDqikYV/qVY9iuL9WTwRdH3OW4rRySZEc9pct1s4YMUMntCjfltOD9ZY eTwS7lSDehPIN97mIGQ12sqZb2YZYRr2OQTP6yAJOtnAYPRRhsgFkPVlHTDkMNanF5rAmZZV B3YQXg+Ed74o6CrNx3yRryJA3rbxM1owP7T2lDWvSmAYXzaXKY9bouPmaVQ4o5cP4q0MKCrW DatKT0SIRv4A+a9loInhgo/QWm+CFAUTnkiwYic0HyYHhEcmIGtXpgS8zUX/uRNq610fbJMx pQQxz7gOZaiKpJawbAvb9KNjT/6XS++2h6cvj0/frh9uDiv+38MD+KsMPNccPVZwxifHLFwi socEhJfpdzVlfhLn2NV29mCnvXfSVZfZhQJl7zKgaptWkBXLUhcBawVSUslscT4ZPUwL9Qps rKwX1nPJPWUEiyXQ8JoMTb+DgKMUOWX3UlepZCmqwLMi9UKGyJdOfsHzgfPHjaSdnlKGdL0D fFpnGCEnkdjb22NMtY0b/NLVLQSOGU/xNijbODnnloCQrC8jNdnNV6czUsEAFAwIHxq/HOON pffhJZBSILN0TTgj8jaR5dD5hsAC4pjAtdsqPjs22WoY71QDMZ2BC/PpQlsLID36tzDVRKBt vJwdTezjLiU9foR2BA+U4pRnIdSNlNsIiKl+eDZi3ckuEbZruFkMdl1CIuHZg5txCZ4PpgfI AlGtJtpF8TWo/6awdRN3GT1r46PiaWB0lGYfttmDMHNmna8IVosLuOMJrGnH2GB///o8LZUg JEETCw/qS7nXK7o6zn8StSYxicg4XFyvWQmRSN1iaSNewTGypS/FLBGGm2eztAuwQnYLdQGn L9E/tXmmIf2bwJVV4eGnXlXzHBF6UCJBULU0TjPX4Jq1VbcWob/rDS9JPGAQ6VHseA5eeWAJ YmDaKQxxgEMafnQV5ISuYiodM82w4d5kMrUyEW0vzAY0kWWiUmE0EV8jSCq/MCTN28AcEHgh 7xPrqHnGZ0FjNJhy5K5olOA4y7xYUALDnWR5LUvTF3AsL9KoZdFVoMFQ+6Kjhv5e4oj8AhQ+ Ot+Y0zVslnvACh1NJ9s7r8/NC6sRAm2QVGvhrKlWm1jXK7QuLeKjfIqus70caj6mis9n+cAl ZkWUo5zIz3Q6ssdCbdaRlk1ZZRBh8GRdxdBL2bnTOjjL452RvRrp2diyXBRLOuDOFZr9CwzG bHkrl7uffr1+Ptyufreu5R9Pj1/u7m3a09MFcueqJ4lNR74gtMGHiQIfq2qcebPmb8ORy5Pu G8uwGOcFqAbiL5BBXzQphNDoup6fREzub2yHbIIflDRLudsOp2sQvjjZgpO3DnhOceslOK6j VT7W8cKIZIYp0rkSBx7C8iSOUaKGw4KgF/0WA7zFN9Y2l1qBg9J5iiQLc45DjiLT6+SgrT5F 49hzsFaCNNAUjjkglrRT9zDAQTilMVWUcqT8XV1QZwAZy7QRQLR9FvAV8XJ7/fRyh/0wK/PX Hwc/SMIggZIHEPRh+iJgAQZ+fTPhJLdkELInMQax1+UE9xRWDaIeAKYVDVPi6Jo1y1Nr1rqQ OgXAikEh9DbyhGrRwOF1lyWmaAmGVmhqBEiAO5i5B0sVLDu+QVXUR8+v1yL96hBYq+/QU3dN 6kBbpmqWAvByYS8s2p59+s7tejy3eCISGafFQ2GoP2NKYFC4Qq70zW8HbGTw43QhbXqxkdKT w2G0AEuFJ5hD8tKvSpafXVbZgcOQ3yboh7WOVMDtorOZeLYjs4Y939x8+c+YqwQlxevWjI5/ kP4Py6LUpgKKrwVfDDUtkDOsGls4WW0LPwZLzqXk/tJkHxjODkskzEiMulTtlbvJNtmjgxaR +8Z3sm3b1AKQdluAjcEydQkUhEa14wllGRJPVvv01Nn4VFKwWvPp8ebw/Pz4tHoBrUkF0i+H 65fXJ1+DDi1KnurwYzHUHyVnEAJym62PQFj7HuDYGhPYb8S4OAV3KpWfQmDdkjEIYhfwo0qx 5KGBZap6VZg+VWnAFcHXB+8Me8SmvGVwnh28XnJtBB7dHBHsAWqRdiUmjKpdMPCIwurpeK5Y k2ptQMtTZ+L8m/f+bmyxHwKXH9nddaGUTFRdmN+yGgiEwdioaWg0TLmllxCs74SGgGzdcb+x AK6OYfzkLzyMHSkZjSgj56cJxVO6erurx2NM2fRd7dKiZXqtccvvl+1H1Kh4Cw481qJt0nly 6baf0q5eq/M0ADON6fapGrVT4kRj/4af/x84TWGdxbVd2pL0mY9SvV+GGR31C7qMR9RVjH0j u3AE/Y66qymwKcERqi7Pzz76CHQZualqHaQVXNMDhva84uk6JCyp0QqiFHnm0Q2D5MwHc4hE WOenRlpu4hwsjfG6q7BjRxnv1Qs/a7UGPwGkzDYkT14EqwBwaQEpn2YvZFCyJcR+w6s2LBvU 7CJSPwN7UUOrPv956jawMqprv4eahup8PoIFHhnSerDeSX9hAO9kBaIA75aYe2QaCVDIFJRD w9A54irsRZkNKg6+jrHVxEzJLW9IutB2Rwam9tO1bmDkjkCrIgD4Y8nS5DYhqzeg4lMr/gIM CarWFxAIciFE7XdDfswaVa9+8+3x4e7l8SloNPITotYWdE1UWJthKNZWx+D50HU+XZGHQ+ZE 7hdCql396WyBJu/PZp8UcN2W4iJWAUMDmxOgwD8Xn7YT2cC7AhkHleQHKW4olukJEEj1NIwJ FdJxJZsxgVbhAAiPiHNS7eYSiFMUqjfx1xP2+wZMnSfBpMOEgnvv1xlm8fzugs73lZD24Yjr vGZ5KyIIlcSxJxG8ReStfqiRh405PKli3ORQjVvvllwoMEyuoyZ2fkew8/ZjOKniwVeoYZs4 1+5AUQOpJTF2omyRvXvMsnpcUVV8DbLj/ArMyXX8/OTP28P17Yn3Z9Rjx04xvULNmo6lIB6V 8QMBKvi3WI1LtCGM78M197WYR8gLo+A/KdAO/qrH7qUUBtVje3vatjdyzfGyj6w1P16UxAmG 6ZX6YJrlZgEiqorEdPe+AlMCcRANtp0a1nDRpZyk83tsj30TCrddeiMNlhuWxt0rB/uGCEMg KpuF+HbCh4uRu4DwFXixrbFBPNrQjwFd7EUNaKgqTZI8Gd5bkHSxAzYxkIdKLzVWi7WKdKN/ gKEgkMI7oqkysLS+9rNurMQ8tbd13SXqc1sdfMNhKUzMa9uEC3V+9vPPHyJtshg8hOSajW/2 IOuaWn9CU7pQFfFSnnM4CNGeXaaSn0ns2nZ8TIeJsaj4R55w4NZVnDU0mrScpZJgXvcs2XJI it1LM7EjEc8ITeb9EYrfQunzfwby4VWCkqtetVKm89BXWZeOT6/0YrfIEGXQF0BDUX4pjwLM xJUKS6vUeBblntJI6cgeK+aEMlTqEoe0uYqhu9E/WqfBOlKb+A7IWVZsHedTsMjRbvll5F+2 SGm0VfnlbOUIHnqH1NbYZxCRY/eI6tpQpBEFFSfGk/UgNBOinR47xRoibUzp7714qjbKb7GF p14zoKIIekfD8UHnDBb/ZAGNRASrshh/DMjvg9dnsb9AlG4xg0ySEztdtrYYvpi2rJRKpLQX C76pg4+uB9aEkW7hDfJSBA/Aa2E3Eo5Rq0MqarOVdR99c9W/PzlJGcKr/vTnkwj1Q4garZJe 5hyWCYO3jcJvEzy1jR1JQXqDWpQW2pFyxfQm6p+wE34JxtDECIzQIJRQwBF/vg8dMMUxgDPO qZmanYdSMZXsUhHhsC51W8zXHSy8zV5MhZ5RNDyENDVtZmcJzTfIEM4WOoiCnWCP8UtDbZKp z/ciRJcpOLpWFFnPag5ZpJ9Hl6sQ5WVfFWbee0r+VgVHbLH3P+1ILPlcaZzYXcK0sm0mtdEG eZMUOtno9vF/h6cVRLfXXw/fDg8vlDTGWGb1+AfW37zE8ewT2w1nwYfmrlI+G/DS1FNC0oH0 VrRAliZlooa9MN9VVdjo73v200E8pgcjagqvfDR1YiOo4rwNkXEkzH/DKPaND7hTAF73e7bl s/zlCA6WiLqzcFFXrpy3YQIQE+kDSZKLu5PO5hZ0LPtRWzoTWtu+NkyBJRH2n20uwWtXcIYh 1T2Q+/1oFPI6KSFFomfVaRtP4ofrrt0Bp7T+h+o04vo87UEo96G9Hw3wyrtD49s6mbq2a8U3 Z/eEwLXU87SJj6P4rgfZUUoU3P9APFwJNO2yb0cYLH69jBmIiS/j0c6YIHjAwZLFI0X4TREO UR5Wcbi5oF9zeE+bcs2jXy6IwCL4LtUt2+Z90CAQzonGRVuLyUWioVD5pzdm6zU4IAwzbOFk l36LRl1KJbyDvNNGgpTpIsmlg/tnlyUF2bUQhBXxG8ewBKctXTK2jutKRkkkFLcwD23PC4EF E02oAgOKWQW+tNmAJaRLrYaL6GyRFzdxg8REvZqbjUzHDZY/1yrtujthKTpUZxumCmosgFB+ 8fzwP+OXtcbBRRpP2oK1fNauO4yHHagJ9AlzveGxrNA43CNnswsj0FLkO2FwiH1n5LUQ/I2K 5QixaE15JIdrFc2FqRa1usBPdECOFrtcHNvB/xdqZLoMmt6GD2xX5dPhP6+Hh5u/Vs831/dB qnvQO15eZNBEa7nDr9+x0mMWwOPHoTEQFdXCMJAQBCf8pGNEGFIcuPjCB03fmYQXoFnSQUxO wA5m+nztu+eRTQEBdbPwuWBqBsAwHJw5rMdnUUjRGZFyPAPqewRauJ+RGgtw/+VT8OGVF69/ er8k+RZfZ2TNLzFrrm6f7v4bNOdMoWQb2T9SzzmVVYmHg+B+MKvHIfBvFi2INGvkvt9+8vXb UPS3fMwbDd7oTpiUfqR4ueW8AA/IljaVaGS8WPvR1qfrUGETZZ5/u3463Hr+ejBzWhsse5Kq 4vb+EMp46BsMI3RBFSsCnz8A1rwJgj4yxJif1xNeLrs2/dGxvTa3N50ue30eXmv1d1DUq8PL zdt/eKW33FP1aJBtDSccq2v7EGHSz0wEegWH8yY7Pam4/Sgs/cEYR680yMYO1hkXQIRgJ2dc /F04+JAq7Y27CS6nunAApts6XhLHFo2phzBUhOaTk8owgXb0y1F6u7bmszcu2uUX7luT6oNA clJ3djJPTlerxWxg4adF6M6XyYPtaFTGcfF0+Ms95OthomnUDBsTtp0hRvAbDjgg/D4KYg4V nbdl2q9i4lDU8unxVprhXEg25aIiWC+yOkl5HzFH4foekt6Ed2jzBzDxt8fnl9XN48PL0+P9 /eHJU8oRD+ypC2qhap02la5FP6Uu7K+shZ9IUXk28ymKNTL/uc4Fi5+p1bzPhXd/OM0KuXvN n26un25Xvz7d3X71u+kusRdlmkaPvTyNR5TI5SYeNCIe4Q3vTec3jzpMqTciC+Kgtjj75+m/ 0jT7dHryr9Mko1PFsJH4sxUmDCQU0LEQ6d9iIjtyqcu5/eB/Hm5eX65/vT/QTx+uqFPi5Xn1 bsW/vd5fRxkk/FCgNvhJikfo4dOPOQge4u80qfKMyc/pRyyq0iWiUkziltW5Em2g9mwcIbvk j43YSbXwG6Zw5zDrKtiH02SDBI7j0nEK/OJD6lIcAfxfjItbkx0KNs902GqAmdc6LGW7H7SK Z2L2fDZoO7Z2JD0y+JWPOqeW2Wmk4fNjwFglmi1Ye61dqwTxQnN4+d/j0+/ols1yh+A2bnnQ SojPYK/ZelKq2KPuJS6x1z1EuCj9z9LxiX7ZMBpy3/1PpMdB3WVg4SqRp2trhGMLtWn7ZxdB qdEgOOmICn+HAgiedG38lxet7VcIf94JRsccITVLBS8h8IPADD8Xoa+e/p+ya2tu3EbWf0WV p6RqUytSF0unKg8QSEkY82aCkqh5YTmOc+Jaz3hq7Dm7e379QQO8AGA3tSdVSSx0A8S10Wh0 f6hQiVgMfhDGHueUbjywDAezcSt72jkud7l9raooRVb4v5voyMeJ2sI/Si1Z6RjjoI9EIXCP XEM8wBJX6wq7KTIcICMze5eElusmeF2W2m3uewXvukKkMm3OgdsEkxjaKw08BPJ74fgIqWqd IqteTpP2+YlsrqINDcKnFUyehlH+0eDlKPHuFKa3YNnSdD2xzeeJiYu0asgJnjvt7XtOmIt8 5slvDXy7OK5G3wR5gDkJ8ALOlwc7KMgn7dz9rk/nJ0VBK96zXGJZXXLCVtZzHdVfNzjkbZbr LsHRFHuWc3xgRDBZx5Kdp+lwCwVLYZoruVHXc5zh+kLPcY2JedtziETtJbm40Z6I3+w4HuGm smH8d5jhv1MjvNnRJZdeEz1yV/hvP/3+8vST+9E0WnmBgb1YOa9dOXVetxIffNT2+CICJgPK AxtQExHBjbBK1lPSYj0pLtaT8gLqkIpiPZGdECce16QMWGOSxZLKPou/F3h0TI7YdN3zLdzR CFzEbfu5wuKENUm6vjBdWrMuUVMHkDPw4NP3sdW1iEe5pzoR6NSu0hFvFjCxK3qMuotouowP 6ya53PqeZjumDIWMjCuAAQYXjZSV9+7OWlRqlSVMSrG/enurzlQcr/rWRelFaeE5EtnMBlEB 3/0jrlUarcjC3zPORfQ+wma3lQtga4AtpNFKLa6Fp5sMhJvZq33ZXcwNFWzhhY6PT//wIsC7 bPT1g95KFYt28cU/LHk1UtwgbZRluFBQ1CbaHZp894lnaKy45ugiF7USpScEyEr7WySfPLJg 4ttIDiIcQvPfqsF/9OUShfyrHNAP+KWOS0p5AS3RsZBWuHEmCStcBu9KER1Iz109rtKyR5wT ljWbeRg4UaJDanM4l/iHLJ6U4olirr6INyDheNSTcD3ArJ5gCY5DVYcr/BOswIGnimNOVWud 5JeCESI+jmNo8GpJrhkaATLiGFZWlAHMjswBEdwegJ0ad6ZD2NHC8iLOzvIiKo7v42dAYYwr 8hSqj+e+qtwzpAVx0DhK/DZSt1zXJorxCgNHsmhSdaCNwbGQ5sq4xPbQ0jZDlHuNk2tv6nXh XgGa0Gm9OZSE0criMZsHthEDtQTwV3ltXAy73YNz4gFwuk8oULc+xalp1ULLu8aQ2cfz+4cn nnWt7ysKbVifuBDR7ArvMlcaZp4JD6vHsm+lJaPseZxaAWWEnz12hCPAXnVeSVj2FfGe49JN VmXMUgQXoqWDpaM8OfaLi4AnBGx3lwug/LiBVjrJhf7l+wOs6cC+UMsSnaS9rlIvDmLoozYj zOY4yeEFigsr4W0GfPH0/Dwuqx6orskz1HhtlW72LG9+D+SRp9GYycSFsgQceyNMDA11UwM8 fo2lJ19MSM8gYcVOE5Ai1Z7Y9auXoj1vSmsIeoJSYlL9Uo0TFYZQm6NTDZTlfMQWo83aR0BM frO7Evvpy8vX94/vz6/NXx8/jRiVcnlEqzQ1QHZu2Xm6U/qpW6K+Sp1qn9J1Na6Rxq7W+Kzz oayLUKm4trK/FzgAuxIq28LVu7eFjj5x40xbwkTwAxP4EZbHxdG/hB6K3eNSBDtWdJsroPD7 IR5aOMZn2AHR7rtqh9iWw7pR02hXrZDv1ezn/3l5ep5F/XXW8MrIy1ObPMt9U/fJgHD2scBY cqMNsD/9/f33l69//+vt49vrj+FNFFW5Ki32HgioSVMy/4Sr1hXLIpbk9t1RUZpv7kWZahct jaI+0PcXffFl17JnFVmLIWVdx9Rq/vYclmttX45B+BtHQaMMzb516kVaA3exF31HYV27WJ0B KyQqxZlwn2oZ4nNJHGsNg/a6NcU0xm0atyABGwMf5Y554gx0lRaAAspihfe3ASjYBmFzwWW0 F4ypJL0TrmN+NyJ0rVgpM28YRQBhv0f3Wg3vpV0s2zn/5+OPV3Odqw6+bz/eZ1+ev7x9//fs 8fvz4+z95X+f/8tyFoEPQLBAuruqbvotHOIAepKEsA5D9gKoejL4p8M954Hyr7eLEhTwj83E sMsDHXjV351tBh+TP/RCt9aw+l/WBYH3iwm8A0bovGmFnwfyPTatPW9oAyTpezm3SUh+5y5G X8S0e4V7EVd8f/t4e3p7te/fssL13W7RuxwVtwX0yk5JAj9wTbBl2uPN7shw3y9lpLpHFIuw xjcjjRFWPMDFu2wozbMtMGJ8u8bjRTqWUxrj6mbHwJVMMU6ISN92TImD6mSn6ihKA4SwQQov r0WVJx7u0rgd5W6657IbdHl/g15vJlpXsnTQ2KzEtl3DG3g2TasXwXqxWY4/B/SIUDa4OqWk cNTh0ZnwMwZnCZCosfv2QnfO1doHfAubp8fpjrjV0aWcmJZ6JM4pcQBThIbQVzStYuUhHoPa pS/vT5asGTaNOFObhYTn0xbJeR4SfRWtwlXdREWOH8bULplewSsJP9rtUrWH4eujOLLMg6IZ 6nYAPyaOm0TUOSfVOzT+SS63i1Au57jhLM54kkuAkQK3UH8bHA6yaldL8GMsKyK5Veowoy5O ZRJu5/PFBDHERUo3IpViWq2meXbH4O5umkVXdDvHp9sx5evFCjeWRTJYb3DSSe5ao0yzl2y7 3BBVUAsUX5yhv8kYh55YbXTp7P3Ht29v3z/sWWooasmG+GRo6SYeaIpDbc7rzR1u02tZtgte 47dMfHcXzEdzzjxu9fyvx/eZgFPcjy8aZ7/1jP34/vj1HZoze335+jz7Qy3Dl2/wp928Clz8 JkcRlidoWKMPs9eP5++Ps31xYLM/X75/+af66uyPt39+fX17/GNmXkK0P8XgGoKByl5Ql2Qm Fhb3yeupDSGfBoaqxjnORsk/p3wcAyC+fjy/zlLBtWpkTjnO7UKLiMZ9vzzNJLk6/eEZgYTm Oas9E8+iKGiOoY5H8D3sM3pEDi57LlHXj+R/+9Yj6MmPx4/nWToERv7Mc5n+4p8Goe7jeivt /fKAd33Mj4RRrk5GMbcOke1P3QEkL0hAYeEGMolovFAk2GDNPmQt9H6UpICLUetswUSkYzvs ByW47Xqr87iQgpDSWqLdexUovQ9hwA6ywKGV7X2v0OoKtzU10IY/q0X8j7/NPh6/Pf9txqNf ldCw/MJ7Xch96elYmlR8mXfkXBIMfakoOnpX+AH9JMfUG91Urp0xnScqdHqSHw7u24aQKjlc G8BZ1OmbqpNw795ASohHGg+d0l7QZKH/i1EkhNMR6YnYqf+NhtlkwXAbezK839mG33p5y8J8 jsqd5Bf9Dq0z1zWF8hQxVI06pl/8wWW9HpL6sFsY/mmm5S2mXVaHEzy7OJwgttNtcWlq9Y9e hvSXjoXED1CaqsrY1oS62zFIRnY2c52oTRrjUCM/VfA79aEhtU2AGHmpn3FuMTeWPgOAYVTt q4ep/C1YWZgCHY857o5QrxwqvPFk20KH8rVBrKqu5m0ksq2Kf+u3YHurBdv/oAXbyRZsJ1uw /f+1YLvULbCLgKSpd920YD5LwrOsJZ/SickeFZVSj/DNzVQMnPPkdeILrOQpcQmp6bGqX4iJ 31RpnXqfyuKL85xDT0hTLJGJZJfXCKVFgBkTjKRzuqWoFpD6xU8NQcRp+/xBnZ+HNxLsXFP0 0JTqScaUlVXxMDEOp708chT/xAgKdaQuvCYoHUvtN64LnNknEiaPGtNtSo8szqQUU3sDcVI2 rcnEBDVK60WwDSbEXuxtMF7tTxqm2EQDUR1yiGxf6G4bFKOOF8XExAWYI+KytaOzgECPMR1R xRPiWV7T1YJv1ArGD4NtBbGVoUkPenQbNcfmXlMfEqaUgdG4Q/KNvS0ppgY24ovt6l8TKx0a tL3Dj5Ka4xLdBVvMjGvK10gY/hgVKZ/eJot0MyfsEWYh7Jln2bGp49swowoc40SKXGXMKc8o S2NpY44mug53+tC0XEZmrjH8kR6D0u7Y10y0TxYx1BOxfVkN3P6buCwdkAdF8qPLJCR+LvII lS9ALNLej473IWHvs3++fPyl+L/+Kvf72dfHD3Vimr3AA3h/Pj5Z0ae6CHa0g936pAHh+4tX IdUjPFiHxAIy7YDAJyiF5pEicU0bVj+oWvcKt2rAk9+ypx/vH29fZuoM5LRqMLFFSuHWVOrr D5Jy5TCVq6mq7dJouL4BXryGms0C84GhEqIeDW50IVY1EFPcsUfTCJ9zMynU+UwQR9uu76eI hOTVxPOFJp6SifE+U4vQEKtYyvHZubjZwcOY64lH1MAQiaBHQywr4i7BkCs1epP0YrO+w5eE ZlD67Ho5Rb/Sr9ZoBnWExyespio9Y7HGbXg9fap6QK9D/K5vYMBtu5ouqk0Y3KJPVOCTBiae qIBSxJQ4x+etZsjiik8ziOwTW+BbumGQm7tlgJtKNUOeRLCKJxiUukfJHc2gJFM4D6dGAmSX +g7NAI5mlFpvGCIi+FsvYMLJ0RABILEEL++J4pXwWBPm72JKfmhiG1o7wVCKfUIoZ8WUHNHE i8h2eTYGbShE/uvb19d/+7JkJED0Mp03VIC2mYnTc8DMookOgkkyMf60vmLo7bY8Mf6ffXhE x5Pmz8fX198fn/4x+/vs9fm/H5/+jUaQd+oI+hkgti4TdDXGVxPd4c57lB7MLqn7tph5TTyK KxyWQdEBApDZCJ2RNtnMRynBOGXMtFytnTQkbBPwRcCIar9QPvKHMikTB/+Wob2Lk2QsQn+B nXbvwY77LHJgKRQnbum1OajP6c/sXWW7Y28fcEpZxg5xqZ/lweFjoRCllxcl4BQP1Y00ioWS CpVGu3NeNlI0fZPvpMiMFfKYV15l9FOUSrU5C3gljqxCNyZeijrJPyCpGqPYdZ9StLjE7KjQ w6JV2m1uddob0HqonvcPSgPlc1zmTs3syecMb5euzovUZwYeiS0cPaYJu3olG285nH+fsPvY zwCvQxO4yTCAtC992136RSkiClHf5o/uHFvq/uQ+AWt+g+F9lLbnYzbbmtSmdRah5dwj8Mox d7ep7UXBSLpCOMMsWGyXs5/3L9+fL+rfX7B73b0oY/CuRtveEdUpUuK9m4JLK2yi7d0UZkRW ilDr6WZJL2F1UBb3rtyDYFLbJuUsq30dUEr8cFIq92fCMVD76hOOG+B2HxOX5aqREA+D28Bq igIbEuFTeCDCe9SHZEwEyKm/ZJ7Eg51xSOvel3Z61I1n0FEHKkVjEZbqD9vtszo5YDnqZ3PW Y1LmUjZEnPB50mknc6MusySlkOpKP4jIzE5wIx5u7v9wr12jl/eP7y+///h4/mMm1fHr6a8Z +/7018vH8xM8dzbGBdNvMjgoDGk0dmxWQifKy2bB0YeZLA4WsaJyUZvbJI23vBeorLALUDuX M93jKlgEFORBlylhHOQUdwSxTATP0afenaxV7IKNxpmPJAkp5o2wShwA2B8fL+O9UKHo0PYX U/bZfXsizlg/Drfy2jDjabQJggCyWt6PMGk0Zsqg4xksnyzl1IIEdKD6QLjudsTWF5wTq7Cv Yumutj4dGpjbUJNVEjq/AvdX7P50xyTB1Xr7eye1/2PKgV6/LIozF61QSRgsRMQqcVfmLOK5 o8vtlrildsdTkHIoik5WO8PDPVN/J2tgqjmxsZCR8MzL6hsTR9Wde1Cuu4zqnTYPZ2dxclpb HU8ZeKvDeijwYAab5XybZXfAW2TzlARPIh5OJDRTR/QqgbTSGKld7wRjt65wg3hPxo0oPRmf GQP5Zs2E5LkrJ4hTHK/VuiQAxKKbQiWKvRVbnRLhBRaEwXyJCeERq05o0gsuI1tqSgyaIWf4 s+NRvKxXQ0VbA0KzWVqHxCjdBnNLqqjyVuG6RqRhLcqbm1nkxsJESej67KgpSsD9WYUAEFbs 1GAXhzfHJP7Mj6JABWlcMxcxPiR681yjAdFWUfvTJ1HJE9I9+/T8Kdjc2HaP7pMRBf5ihJXB e/gsVhncX/7P2P/dHC+2R5A47Jwfipy6e6tKRNeZqJ2ssMF5P5GyIJkQamI5J5wOFYHIs0+D ORblY/fYJly5Lguf0huD2ppfnb3tnHpysps79+4TRPB7yhkCyLCveZbDnnwN3dKuNASEXWNV XZblTjPTpF42RCSwppHu1Yq6mqTKC3VmteskeOl6Ud3LzWaJ26SBtApU2fhp/15+Vllr31aJ fPRaOreK8DuYE9E/+5gl2Y0VmjGljqZOmW0Srj7JzWIT3ljE6s8yz3IXyzTb64jyW1vaZrGd I9KG1ZRADO9bhE8/S+EfjpCKnpUCYJmw9nnJ48jRli3u/N75DGDA0wfiFqYvzg74K21WuQ8j B5KHhC0op7OHxFcHLRIxEdTH6jhryHwoqLBdwxNLIPzHqaNKUFsXhUnTZQV02Cq29shNsNja GHjwu8rzUUJTuCpXlwwgn011ARMkbqnoGDcBAfIJDPrFzLL1PENaUG6C9RadBSUINyZxWuQC g67nyxtLpQQ4ihItTLJU6Q+OU6zUuw5uPLBzxjbQvE0QCXP2K8m34XyBRak7uWy/LSG3c2eF qpRge6OZ8J5iuVf/unsJ5Qaz5xDiytFoM7vUVHJk4cuUbwO+xQVxXAhOuhOp8rYBcbOpictb ok9W+u7TaWWVAgzO7VFzLUlHVhTXVK0evDZqZhAxexwQOzJCfAv0wVSrEtcsL+QVn95VfDxV jgw0KdNFejkAMlntr4yC0PMsEOPyzrbEVj+a8igyZ171iaNzhMUA0BRc2FdA1jcu4rNnhTMp zWVFTZ6eYXFLxzUHC+LEERK+cvsoInCmRUHc7GnwmR3xvFpxvFqwWFr5+72P58VuEYEFjBaA LutJfY9HVDtGQTUAQ87BoEbT25P9yK6ZCjFT1Z6oo37e+Yibt5naxLIK9AKKodrMFzVJVk3X 3tAT9M3dmD5QjVrQdXuX3lqMgOAYGARnEV3XiJ1FmwunF0pNW26m6es7kr6HdwBJquBFcpI0 WYc51Rd2JVkScECtgnkQcJqnrkhae4Kh6Vo3nyTncHye5gAtmOQwD6gx+iMPk9lbvYikw3ZD Eyt11iVcmMDErGaa4PQAtR5aJL0Wicjq5qAWXFjCf1GuosArIBMXo7hNhqhLg7+k77osC4wi cFZxN+WeXRw9HNIKgG89eVnLKtkE7nuTQzIdAKq2mbtNjR2OgKr+dW48usqzerMJ7mqKsG2C uw0bU3nEvZetLUoT229y24SMp36zgHQ8qb4RHQfZwq6UdCcwK1Y/Hul2PQ+w78hye0dsdhbL Bt1eegY1je9WNdJjWp9CKYdkHc6RXsxAYthu2B0BpNFunJxyebdZIPwl4IfqCCq83+VpJ/XZ zY01GbO4NJaIJl2tbTh6nZyFd6FXi12c3NtuIJqvTNWyO3kdEhcyz8LNZuMtDx4GW6Rpn9mp PElsNHm9CRfB3NdDR3z3LEkJn6WO5UHJtcsF1dM6FrUHrII6cCsoiuNoTUsRlyXz7zyBck7W N2YfP6rTCzb7Lt4xp4NAay4o5CSwD9eTqTmuDnpBlG5wJC8nn+viAV4btJVMUVc4SIimkC5r irol823vAUebOBKUyTYgQu1V1vU9fspg5WoV4ncYF6FWKeEZp0r0zJZDNp4t1qjYdTszdS1r OoH41t2ar+Y1TIobpeK3c3jzVPpEOP4Ogq0oJRiIe9wuYtdmdHfDREmANShCw29N3M5yPqhh xSWkDitACynaJVlu17jnrKIttkuSdhF77DDoV7OUwqkpSGKGKxPwsCXhXFSslggmzUAuhUxX mOu/XR3EFJ7A87gVEc3XEbUHGwB64dojdATh+Jpekg1m0ndqBYC3nhhK1USfB9jx3c5ZMj9u vKzCmhSSYyudlU8pUIRvsKHdYXazKtEPADnRd5p9GxIOdS2ViHFoqQTUJFDvwgWbpBJeC6YR m3jyuxNUtSlMfBfai6OMA1UdJG+OpHTsJupns0W9XOxM0tlF+SWg90fcPHNJgnCFX2oDibBJ K9KGJBE3KXYdPl8jNlJaPkeq9nhVgBQEJR6+0hpTSnYlHptpGZQoW82nADqb40UKJ2TKVSAv nqnKoMB81U86XV4ASO3n8cM+v8w+3hT38+zjr44LMWRcKI+5FO5B8C2rvaptKDx6GRGoued0 1Arx9duPDxLoQmTFyXlWQP1s9nt49bUFmrVsAUAD7zkK2thwSI1oe58S24BhSllVitpn0hU+ vT9/f4UH2PsYsnevvoD/KGMPuM2lNIVk6Ns5HpvkZRxnTf1bMA+X0zzX3+7WG/97n/Kr1xsO OT6jtYzPnjppjdQIb9PJeR9fd7nBIejL7NKUelusVpsN2u0e0xap8v9Rdi3NjeNI+q8o5jRz 6G2JFEVqN/oAgZSEMl9NQJbsi0Jtu7ocY1sVtiti6t9PJvgmkWDtodsl5AcQb2QC+Wgh6mZj /sKfILYRvGcH4ywIJ3UNJr65IRyTNZBdTmg69BB6PhLeyBug4my1XJjNsLqgYLmY6Lxy2k60 LQlc17yuO+WcfNczv2m1IGLTawF5AZunHZNGR0WwVQ0GPa3j1j7xOamyIzsyMx/dog7p5Nie 1AAyXnjtnqR/wnp2DEkgqHd9prfpm7vQlIzPs/A3z01EeZeyHG/bTMTKENBYqNhGmyy7MdHQ 2fGNdh3QYwAbegQHD6qymvnLtmoRigSCuKpvv5Yd+P7G6KC9BW0zjhxiX322Jd8m+t9kETIq BIvHeVmex5GugKWSG554lL17ieB3LDdfWZR07LCh/7EB5FYCT8ZshZB7S9XEeiJMfKjFDSTW 8SGB4YrMYnQJ0dFnqMhhGoA9W55E9MIR/UfUMpWF/oIwcS0Bm4QtCPd+1XHlnubnzUFRG0nF GXCZ35jf8avqJbDDWj+U5Ad3bkXscsc8sDUZX62iKCcUCjooJWJlOz060DDiWWgtkakYBMmN SqngdSVIaA/LKiKCgtQnPHBQaYW0AU/qCxH6tOLUjiBxU6EcS8xdxIZOwgcInizmtq8c9B/r tNgGHrHkO31cZIoVd+gPc6qrw1PsWuczT5g7p25ENEKEEewyIb5vhNGGMOAuoWFx66zmJ3zD J0NedpAr75eRvhVZJGKs9qbZxP3l/VE7VxS/Z7OhuzPYnDv6NwZXywOE/nkWwXzpDBPh/0On zCWBq8DhPnFhWEJyjsesYaMqybHYlOf5IFvBCDcGmlrZXAwKHn5ZOgllaVkVU3CyjIOGGEk7 lkRGZ6H82+X98vCJIZ+HHrRVVyfhthdEtrRY0pHdytC5sousAaY0mLWwwbWU/dGIbpMxlG/Y 86KHUWXXwTlXdz0Jr7wm1cnE0LG460mld6mhg/GQ4S/5HY9ZaHTynmQnVl55xjAzX3vJ2s+T Tm0H8S7l5J5VE4nYfTX5vDPXMs3uM0JbUhBegNLzPowJ3cHzjvA1jFwhjKM5PANIjEn3GRF+ 35QJpXOTp/fny8vYtqsanogV8R3vGjlVhMDx5sZE+ACwthwOilDbwPemYhdXOl7vraaatMXx MzWmCxrN0l4leo4zu1/ta4T2CrRMUw1Ii/MBJpD8w3VM5OKQYsS8CrM0QaKTitKwG0q1S01Y ihGTCkX0mA47gN6oqY5HQ3qaXkhGdrgklMm6xdObafMF5QRGxf8uCEQson2JCKkK4vIdbZXp 9e03pEKKnsTaqNFgjVsVhOMSC2WSRSpEP/JRJ7Ez2YalfiEWZUWWnKeEPkaDWKyE9ClPkiWo Oqy+KLbDZvwCdBJWECqWJbnI6WMRyDBhYCDJbzT+FE2LeH9bB/3oautpA9fRmhZ5IoDZSEM0 re1s2zod+FpRxY8wCTEIKU2ky7elLeyS7YGgyVKMCsWImFRpR4bx2rLdoBTNGmfbbZsMpyUc xWH/RbFJ1IE1gTEYxFYYwQYmLy2hZ8rZJvf0H7vJlYe1+iC5xYgF3cPWXa/MHDVK4WJg61S6 Win9lzwYmJXx8UjwpPgahBH7lhR33QKWBHfIC4fi3fP6ad8scR8ZYUUOTKMhDE7dqXlfGwF/ oyBKPFGydMf3Eb8pB9y8Ujj8lxPnehRzdMRhPtWH3PRJxPGd0bG3ww039U5HrQpdwGAKHNhF tOu5XsBUfcsm0m3WT8aYxqwfoRdT4ZAib/SBbo5Bj5QqhBH6hOl/iMW7bNOGkML2NFIL+jhv G1fNzZlMMP0b+jFv/QCZnlPK4sXCc4mn65q+IiIe1HTCa5amJ6HvEfGdSzKaYpN0kKYsRMrT U0lMCFEaiOjeiBCjgZpqgxfiYgHoUkjPW9N9BvSVS8jMJXm9IhYukCnvTxUt76tDlPEC0IsR McCSJwaX/Lgqfn58Pr2W6s1l1tk/X2HSvPycPb3+9fT4+PQ4+71C/QbMxsO35+//GpbOYc3R V4CIAEFF7NLSqyuhv4MwaxkZfaOuR5NP+IzSoBOzVkCKREVmrgDJpfLnqCOj/8D+/wbsF2B+ Lxfe5fHy/ZNecKHI8Nr1QNyG6qqW8ZpAtN/t6TlcZJtMbQ/39+dMEgHyEKZYJoFNoDtGifRu eOmqK519foNmtA3rzJRho5L4xHPCo5vuXHUgLnWRGFPHUTl/0EETHROmgeBGOQEZHBDtUUqY CsickGD3crym8lyOT5q8H4YTfo7135rcDy/PZZSRMRePGYGfQPdSN/R52kHFGAt+CjRcdE1N /kZHapfP6/v4fFE51PP68G9DW1V+XnhBcNbndn1gVS//pYb/DN+iUyrKekcF4PL4+IyKAbCy 9Nc+/qf9Dta6Zy2gLz370cgqDMqDlT140/5yKpD7jS5s5M+/tLQo49a9Xr5/h71Rl2BYD2Vt kjA3L93yFvxIhZrW5DpWn3VT00hhjAOhSfEdyF76tex1kCmB4TmYuTZNvz0FnjeeFzDYv1Vt x+tSa/u3/mIgDA/qrfp6UoPuJ871mugOrNGaM03X6ek/32GaGUfF8qhf9gy+JRMMeQsgnImU b+icrT3XCsA7fAtA5YI7Qf9KuJx+23DcwIrpE5NNtzBa5UuPonSVyobHZ5FZRqUIuesYRgW3 1uu7eXBKFRU4eei6H8011kLnmd0SmkyaStmwllSMWRz3bIu66RYl5RztjxBKSC1SWcgbpkAW h+Kl4xNKhD2IufU9iJlNrSFyY+6imr750/Epk+oaA3N+4VNS6ABkrg2KRehYEUDBmgifVmPi PPAd895QQ8i9uwZAq5YglUxj1oTs3cE4nr0yiPEJAaqD8YKJbwGP5S7Nn6r7eMcOu+gcK+6s l5SHnbKwQq2X/S28uRgZuObQCSBXmHm3klqxYHsxVjBLS8frhmOgCVUHwuthdyjMWp8jlHly NLDQXy4IF/9diHmLbyHJYk4o+/Qx5mHtY8zCbR9jfvXtYdzJ+qwd6iaowSjSLW8fM/UtwKyo K9AOZipKocZM9KHk/mpiLG4CFVGvUDVkMZ/EbFmy8PaW3bmNrpjHkUyoK+K64hvSYL6GqFNu b1koVxMBIzFgo2NSx20AaPApk34Mg4omvBs4+M2MZtMrwKnNPbP82MUEzpbwbdOAPNf3CAGr xgDzRriobyBKquigGOU8tcbtYm8RkM8PDcaZT2H81Zxw298i7Guh5HgJ3eQatBf71YK4FWrG a5Mwwn1BB5JTgV2aUfcmJiZK05PLhWTRa8AXThz3NQBWWrFwJia49nJNOGhpMPrIs28kGkOc sR0M8AX2JYkYh/CQ38M49sZrzHSdlw6h39vH2OuMzNdqThgn9UAL+0mkMSv76YmYtX1mYEDW lTv5qdVqYgJpzES0XI2Zro+78CcmR8Jzd4orUHzl2dmPOCEuy1uAPwmYmDWJb28uAOxDGCdU cN8WMFXJYKqSE7tHnEwt1oTwVdMBTFVy7Tnu1HgBhuCm+xh7e3Me+O7EUkbMkpBtakyq+Blt 4hNBh++poVzBWrV3AWL8ifkEGBBG7X2NmPXc3pX6ZmNNCOwJefda5ZZ7NbHrAmJieQLCJUKE tQg+UYblcafhuZJo4bv2gYwSvlgSsm4H4yymMasjZfHVVDqRfOknvwaaWFYlbONO7KnAyXkr jGJJ25r2oBPzXmNcuywFXO5q4pBjIV84QRhMSoByMZ+YboDxA2eiHBicYGJSipQ5hNpvF0Kq wDQQ15k8najwdzVgn/CJ41Ql+WJiL9AQ+6TVEHvXAWQ5MasRMtFkdFnF88MkMwu4VbCy8/m3 auFMSMa3Cr1FWCHHwPUDKsJkB0NGoexinF/A2EdCQ+wTHSCxH3jKvj+XqBXhwaqDgpW+t4uT JSiaQJ3wFaSLsD51NysStTl+QcRXN/NF/6qkQujDl3U0j6qE5upskIxxPtDgBMM6de2nanoV rua8yzBQeJSfj0L2VOlMwC0TRanxaGyFKQuqW5/p+CymLNUtehxnfBj9cZSPrpUBaG0nAtAT 2nnoDs2AaxtFlfT/aQN6lNb64Yavlt65dGk8ZkneqrOdgtU5v8Gr/SRvZkdXcU7nlBk/h0rW APO8Bai7nJ/whfP9tad43C0NIaZy+jXl+05lKlKjovdzmDIKhtIQ0uzI7jLC7KRBmR9Ej5fP h2+P179JQ1uZbVW3Vm3BIQNCaP5q5WirzmfE3AtRoBmGFVRFK7CDwqOdjgKme5qoDuN/HjCq DdUkHakaDQVpRCwS1MSyAnzgWkiAvskL6DrIHL00ApdAhBXe8PNWqJw79qZGhyKztkRsfPgM TU0YEZH7yLawlgcZ62wrdz6P5AbJPa27CJlQIg80tcJ3UxrHovlQixCvvBbOlq470EniPrf3 m+TodoLMroXDhUvS01ty5FbzcRe0ayA/0HNKu9OrHtStINff+Ja2IxtG0WqWwAYIfN9KX9vo CeP7e7r2MK2jHOQU1z48qVijn0vyI1F6Zs5o8dXP77/9dfl4emw3RH55f+xHG+Qi59YKQMkD /bT6fXyycMCYC+/v0vn70+fz69P1x+dsd4WN+u06dK9R7fZ5EaFiTnbQfIJhZUl0O5hJKUpP cOVL//Xt+eFjJp9fnh+ub7PN5eHf318ub72oxdLojWrDEzYqbvN+vTw+XF9nH9+fHp6/Pj/M WLLphcPFbKPGJj9ePp+//nh7QO2hsU/UejS34ehExDQmXZ8QAfJE8FKBhLjQ1vmZcgJ/bvGi DyBtuD0n5D1dyil3gAUgDaax8gVq9REKXljTkOF0JvMj2XOsn9AQs+RQk4l3kYZsFk0qMmUn rclxShed8AW6gScrv1eoQikFN38eyZB1oK5YEeOco05Vz5Iv56RCUsv7YaeTNS5haPtDBxwd 4ChVVYR9Yen9mScZFcIHMTfArRIKmUgOAh24foJOj76mw7lDDxI7LZYecVFdAXx/RUivDSAg HNFVgGA9t34hWBNP+A2duOVq6eZbDE1XK+qSTJOjdOssNsQzMiJuRR4V2r6AhMBGbFacQGLO tx4sMrqHDEpZfbqSo+AaA4A3t5WP+Sl/DRrAPeURV9RIlxG375VSLP3VaQKTeMRFkqbe3AUw E+ntBNkbM8O9OXnzib0c5CJOOe0GshJnlriuB/KcBGGEngpx7q4tUx2Vogi9RT0RWJwQnvlU LleLOaELhUToO/M2UBIJTUXdOA0IzHe2LYB45mkAzoJeQ9B/2HTLQVYVQfeNBgSEvUUDWBOd 0AHYT0sAwX5K3A2qY7ycu5apBAAMimGfa+hpznftmDhxPcuCVVQAMb0dDdV++0xJIe6zlFk7 4ZgES8uhAmR3YedrEOLNpyDrtfmeu4h2eMNDXANp95G12DdiHHfvl+/fkIE1aN+zncl19+2O Qa909NCrBB1vd5cf5B+LVUdEAmIZNTgqMvMghMXY1hD4hdk/2Y/H5+uMX/P368PTx8f1/V/w 4+3r898/3i/I59a6tNv3y+vT7K8fX78+vVd3Mj0Gf2veqTeM32hbk3PMQ1MHdRsh1cANSvmB 69vH9QU47ecPYPrreOtjGwHsBT7ysLBjHEMX42WR5BhKFms0RYez4T76Y9WYmusQvuPCe8nw Nz4kqfwjmJvpRXaUfzheR2LJDmk4au5ehOO27UXXMFWErRKuKqJ01/eEDHTKQ8dhb4yjjSVW hgGNyIWi0eVFV2ck4yCeLYfOqXQqL4x2iJqGum+jDJgozKtK0w9FZLyr1L1QO/XuZdlEKsvP W5O1MZJxlRR3/e7kewG/7oYlcb2uybrx3FksTO5TNHHoiQwTYWB2WVoMrq/b1EGte1+LEmkl x9HAoHhANoVl0ZT7QYTycjYkG0Ewj5q+JUxHkLjP4oGbiR4ZPjdyQNYl340myYHrgF1kiUcW w5BTE/uu0Dfzw0Ix3ofptQFp6ijSPUv7g3cTpVLAYhsXFXP6WUjTozS7pfofm2ZaSnU6/shN jWsA221PqITk4pBs4ihnoUNNGUTt1sAXGNcJUo/7KIrloHCsWMJgLEbe5waQu23MJDXEZawP 2HP7HZxk6E5gPBnRU5CwTZlUFWLXLwuOmW4MNEzKWYrPGnHWd4nTSbatrzxKoc2p6TK4JCuG ZlHDuuewscDRRxeLngWLLKUcTGlMIdBrLUUuMk4FmkWyZMLs9KUkjkKe6eQ8ikLSfY9GKJwd cGIYnQVpxCHFMBHDoovE5LBcL1T0msek6HlTaRLpDV17H/qS3Q2/1k23jawS5NqEXUVG0eDs VfviIBVIRaoXlr6Talg0BzyTz7kkLo70Jmbbv08Cph9Ry3tg+4aNr9NsDUcn0LAQzTKm7ln9 pH3eExa2+nyO8/HjHcrtRj4G3TmPeJm8m1AhSn+8rVuCXmHtHRl6NxBjHkq8fT69zATsP1RG fRsGgGH2Ti2yPQcRUSgFvFuUAh8wiB7SPvJ0EkuVpX6adu+2Z/K85/2GdserjFuSwg7DI/QG W3lYMViKPn88PL3g7ff1x4fu6crPdb+X68f4HH3/y1Goj/AuZXiXm4g0K8w7j+4DZX5QqGjn 416gw1Np3n1q1CbWUoBUw5nUwQ1shzDpqDt0w7bm+YVOKHjrhCIcP3jr/Cv/NJ9j15NVPOFA DwAdclSR+4OqU0Ha0m06K2WgKgygc5TAb5ryDhxmdb9kN87VvXo6OIv5Pre2S8h8sVidJjHu yrFitjCG8DVLF2XGLsqa5oybmtma2sEd2pJ7+WUcoLt4S62LgK1W3tq3grAG2q4yycKx5InT rFI/4C+XD6OLAr1uLTGhtLcmgjXUkzyk86r+BW9pFZep6H9nugtUVqB1w+PT96e3x4/Z9W0m uRQgo3/ONvHNWftED2evl5+1DH95+bjO/nqavT09PT49/t8MLeK7Je2fXr7Pvl7fZ6/X96fZ 89vXa39PqXCjsSiTLYatXVQV+IIY76YsptiWDUJM1cQt8ARlVBkDUcjQmc/NNPg3U2aSDMNi vqZpnmemfTkkudxnRKksZoeQUR2WpRZPzF3gDSsSOkBUjaokzjN0HTcf2F00iPvnw2blEE9l evEx89EuXi9/Y4AFg28qvZWHnHr/0WRk/in5EAAip+8hdX69cEPCzZo+3I7E+1xFpGPUoSEq ep217pd+Xxe/6RbtJo/YIkr3bsZs/QOdyB8lgngRraiErajensKDOpjFh7JqtzKi120hMsrm S0f1i3aZIoVfjbDsv/WU5Xc+J550S5jWR6NHJaTFUX2CqVBol+R0H+E1VAijGxOO88vIaRL+ 3O7o6UE8i+rNvGDA2t2KTUHeIuumZEdWQJ+bvKTpYqIxMxftMXiePse24qQOlsUjJF7Gbonb QQDcQW56rkT3ujtP9FTcS+Aq4R+uR+hxd0HLFWH3ofsSXdzBcESFbpplzbJM3kTEsHGDOx1c dfm3nx/PD5eXWXz5afaopE9vKhRplpesI4+E2SUbUkuPJ5R1SsN+ES+MugQW7gh/83qDjnNB eh46HInHU+rZOEpo9/cokcACMX+JcRBUpNgIkJaoALVbkYoNS00cZARSKBxaGcojkheHzqmv SSNBC1MHmMonstYl7S4PTRwxJl1ikpjK2+0jOUiKfM85jcoWgbP2iTfQEkA6Oa/IVFS4khy5 w4hSfcDJNb9Plrk96s2sJPvkQVtlt1edjMxdlU65uylHdVOIkDDOLQE3poeEQvFzz0MTJqA9 1CpYBGMKj1n3Dh6T9lxlvXjrncRK6v7jH++fD/N/dAFAVCC09HNViYNcTTMQYnbJVWDYSEPc JMwB8sK2mcjD9LzIuCF5EL6om34+iEirpxt7WlexuB3tsM3NC9bUsDnW+dhm491HxK1WCzoF hD5PDQkl7IPmx/ouhDBC6kBWvvlsqiGocr0m5mWNKaTH3YlyhIxhYZrXXh9DGHPXoBNAzE/j NUIbPxJBQXsYSiuuB/oVDKFW0/ThcqHIOIUlZPOn65hPkhohXc9dE+4Rasw2cSm/Bs1YwdQi FCw6EI9wd9QthVDnqiFR4s4JQ8OmlNsg6HM9jZ+q/jLqLlP0VJrijbtonl4Bj87sfmH5hdJ1 XPv8ggF1FpMVh7at+3JRqX78cvn8en1/peuP2XmSyeH2Uy1Hh9Dh6UA8Qiu2C/HsExLXfeCh FxYRE8HfW6RPeAZoIc6SYEubuatuFr5i9tWfLAM10XqEEP6duhAiAlkDkcnKmWjU5s8lZYfd TILc4wQrWkNwmoxl3+vbbzw/DKZIo8sgn94+ru//rezZmuO2ef0rnjz1mzltfUs+5yEPlESt GOtmXXbXftG4ztbxpLYza3tO8+8PAVISL6DWZ6YdZwGQ4hUEARA4tJANawO4hxMHf1IwrRK3 TOcTNHDSSgLDXWUuNfByJUrTmUPCIKJ3D6HpM1aWPG9trA4DaQi1aESQqECUb01QsS4JqG+u 4qqAvsvai1UgqPBMQ43KBpoWex7nGr5QApSyc1z1ttepHaZBi1XEUMtXCSKPD912CLQFshi1 EBNyrCTqU8M6MdWD1aQip4U/1m8XL+KCMoOJ5mqIrmsp7EG2B7ZCy9xUBuZVBx+nrJVTIHds 5PphL1vsczsdSl8psz2YvoF4qAjeD9q2DY3xMjLZ6KIQFVEKwJLhgnGWL9iI7vbPL89/vx5l v37u9r+vj+7fdi+vlCUsu655Q19h246tBPmOEt8tasX9QOxKFvMmS2jDow4qFYmKvkxqfHUR 0iGOWVcXcrFlNd5JaZEXHlMthbCfoiolrKYp1L4ueJlXtCKFtX27/BF8S7wJhAAGq3PHmiFn tePWYpC0mbxPD1E3NOmlyOmujlRZqCfYjLioAwGjsZ/oI+TmgnBo1lEXyjmHLHBxIOtiwVNb RAXkb6ZnSjkvDFcBAVBV3wR0R/qBBTgJSEjJ48DjuXUN6TAOtF8EhrDtMT0G3NvOlnPzYU19 KbpgXUW+XbYMAgE8PlmmirOmKvhE43OPKQdA+/PhCeMxO8d6jMD2+W1PPYCK80u+7kAx8vHM eB4JPwcdvXmmjGRrR8p5VXYFDIYIvLrLVNoHuW4PEBRdHwg3MVJ0Bf0EgutcIpIHUt4qBRN5 VG3nntSxldFRp4opJA11VlVF0RtaLeUjDGGxH+6OEHlU397vXjG4dUu4DBeJqmNR6Aji5UnZ cCqjc7N7fH7d/dw/35GSGiY6BP2DX/Dn48u9u0haSfhbqxIBVE9HMYT4nx/cJTbx9CKvfSbF RLnNt2JoGxaIYFdBrHl6++IBlTb8ip7oLWz+kD60agLqzICre9nRKte13G8hNW29oWzfTB6s K/DPYNuhbL6cGN+uwUE5VBtGJgaX4w58mQNWmZSwK4Omu337S+VksEI8jwHDA6pwCLUOCRBO L8oCFfuHqfo2CoQWjovhEl4CAIX7xbEmjKPAjMx6ms2z2oqdUMR+2oF6t4fb7O2T5FuPz08P r8+EH3nDLFmmy/oygbdUua8gY0/f9s8P36zNWSZNRfoU5SIq14nAcJpjf7WZvobEcRO0TABh /Y5zJgx7N1B0nVGP6X8ikXVaGsXxowj75cASZvAwaAgAHh2A27pmojw7tVKtl+siFGGyC+SI wJnrMm9g03rF7HcIFCNEKq/ow/4RTy/CIQh2VYtRXJqqq+KK8ivnieVsIn8OFel6mIqmwNwj steFuR5Rgm2i3oDEScSs26SwU7IlkCDLjYNh4mJW4mN0kPrLqhx4KoaUTa8Z5hEFFxApNKVg Cixpa2S6GeKUiLsxb/mqWuV86qA3xPLjR79BepKnlwc4o6YhF6NK+z/UdEGb14y8gQGKt5aN R0LGxH9qdK16UnY5DnygurHwRjIGcIJza5AspO1lL/OKhTLZAlnQ9IgWY1hIsvKO9oLt8Tu1 fRcFGO551mWQjqW1P44D1u3u97dHf4/Dqg7E6SXOgxxyxadNlUYsV4fsLXgxK3vcPJZpC/KA uUTlsXc6mAYGDRi2rOsaH1xXrdjKenMf1fK4b4SZQVViztzKz8K1nAVrOXdrOQ/Xcu7UYp7w 55CvuLmu3fg8Nk3ISvg1SqwcuPA7SCwbUUQ4FYaVhgs5yWk72KbJCYypzIi6JgIQugY7T5hR pztnJooYKxNNjddXRFGX/rEHxu+rvuqYDSI+CWAnp5qESNZCzwYgw75kq7Q9HQKMq4p95HRE 6hl4dCFWi2dRZMSqRHNwUq2akHl7IpZMR95K5SXuGhlHIEECUod7qPCsldMUiNci8mA/01On mwiAl3XW5Gkyd+2MYHJIRuS4aujD5XQas8AkjdUc2JNIBjlLmlDcMVURejmL8qu8v9Pht2Cs TTlH/ZZSTWLBSLYCNzTHoUDDpIgm77JDVZOTIPBgiS+tdM4FpGPu5J3Cxc89Co3KhC+rTqQG l0xcgFAADG9mVc0Ugqh13MSzxhkAQ8k7dMGZcnzSgj34t+oSsKNFIIqfogixTYXtGm4psa/S ohvWVIR6hTFyoWMFcZf7kDmd4nhw912VtvbZkvbw9s6a6NhxKBtZzJo3ObtWW2xmPBNU8tdE NJAvOBH+wR7f3n133s22eFr4lMnvTVX8mawTPPC981601edPn46tXnytcsGNnt5IIhPfJ+ng /i7RyqEU9lX7Z8q6P8uO/mTq8JCilSUsyNolgd/jS4S4SngN7sPnZ/+l8KKCFCPy+vrlw+3L 3cPDB3PxzmR9l9J2t7LzTi516XvZvX17ltIU0SU8Wc0GI+DSzleMsHVBACFEg7nmEAh9hOcM Qm51ByXl9zxpuHERu+RNaX7f8fvoitr7SXEqhXCYedav5BaOzAo0CNto7IjxgcpKrJiUmmMH r/54AoyUZKU4Tx9DhbyIIJsDFxleWOWqhpUr7k3WLFknC7g0jOPIOUPYLFxQotRTqcB5vdDW aKE5YVTcsCKAaq961mYB5HobrrMQpVwVIcGoWOh9HcZdldvzReynkLTY6E8agidC4MLKkyG6 Vgeoi5ZXWwdeg8M6d38PN5CCD1i7fmQ9H0gKn99UE5o+uEa683fRxeoV/xJJXbSBvF4Kn4ZF GU0R1G9et+vQJPShGRhzIdq7cEQ6kwO/zfMUf5+5v22mg7Bzc+wB0m7IK7kiHk7c4oPx0Rpb hbIRxg11MO7CQOqcb80Sj+73BlHIe3rByw4fgQ/wCF/ehUX55cOP3f5p988fz/v7D3YXsFwh Vk0ooiu++yptbggFQYrQnqhJSc6JJgK2z3MgssYjsX/JGfFGPHGnJaHmJfEnJlHjl4cjsiIR 6I8O0YyDfpDuoGy+atA4Bknbjb5DO92fqkPGMMou+57BgHCfYLZ92dSx+3tYmRoSDQPmpH0/ DMZUxxBLStIPl0300RxWXSx8lYt5ndG7MxaOuCn0NS1EPGw4uxzqDRzUmVeyr2OWU+pMxDqC AcJQivDqkaMaqgR76RVAaCA1H+LJxjndLgL2gDKug0dolbCwkBBgiZ9ri+nhT/quq1DUTXds mukdJH+M8umXD2+vf198MDGj4DtIwdfalCYulPPBJgqk27CILgIvuhyiwIjbRO/63DsafhFI X+IQ0d5nDtF7Gh5wcnWIaK8th+g9Q/CJdvNziGgvPovocyBNhU30ngn+HHALtYnO39Gmi4DT NRDJC+bFxcfPQ+BGZlZzEnpp6FJR932gYW0shL3nxs+fuNtqRITHYKQIL5SR4nDvw0tkpAjP 6kgR3kQjRXiqpmE43JlAhkuLJNydy0pcDLStZELTXgeABq9DKeUHXuGNFDHP5Q30AEnZQajw ZaKmkuLboY9dNyLPD3xuxfhBkoYHHrSOFCKG94e0QW6iKfuAz4s1fIc61fXNpSBj7wAF6E8s 02PuR4a7RMn46Pvt3Y+Hp/tZXYIXGPAgSXO2al0Xlp/7h6fXH+i6/u1x93LvB6ZAZeElutZY 2gWMj5aD0XHNpzwSXyYtUSHvZsAcPIpz4yIOIrmuP+GO8+jYVR30YpRkdHi5x58P/+x+h/DV R3ffd3c/XrALdwq+pxxYVdZasMhQxscSc3aAMlQSyotlzDozAoTGF33bKUW5oS6TF0BV8svp 8blhWm8hA4jkgIW8Cha00NNwlmDFLJCVsi/lzQPCihZRlQfuuvgqfVNy6vWp6rSlTeJgOm2n Xjjj0yqxH3RBBYT/Jup0SdSoVWVuaLRRO7VhZaeHBxPPK4OuNWwabsnnHfjKrFkuEu8q5zQ2 rRrI5oAyNviW1T3RXIx8Bbfx5spU60/ASUmp5vjL8b8n9uipe9+49Ird4/P+11Gy++vt/l5t NHsq+LaDmGOLDQdCzFESnlE5Mm0V1MzP1cg1FPLZBZIqgotcQG2V99FIFsjYBRShC04G+Tb0 EBW8yOU0+OtpxCw0UU1434ayfiqqNb1BNFK9AQhuAOUWJje/MO6dGogmFiGXD2+aqtE3X9NO oMdaLTDwazgwGNgfMC6kebUhdpiJDtWE+wfGzmE2BpK1zPJQRwBR36Qovowr68Eh/F6alkye Gd4pg+v+KH+++/H2U/Hc7Pbp3mK0cPXva1lLJwcy8GpeIYcMPIE71tLLY3O1nKKhBh9f0D5W tEXPwgNH6eXutpE6rcEMxsg/02FjAbUxf94cAPU2h43Wi5uXie8x4Iw3NOWS8zq05UffVud7 OPIwHzNLOvrtRTsBv/zP0ePb6+7fnfzH7vXujz/++I9/JDadPNc6vg0kWNarQbYLJnaB5HAl m40iknyl2oAvzQItWmoXeGQjt9BojiUpsAIYriBXGJ+v53LU/X2q6x5YLeSRl6eeb4D5HbnO IYTDoN/SkKKXsZ5gUSCSYJiKYwcbLf9fg2djS5QNBvXSLEwcomgpO69CjWyy9T8bNzyR0r1g ub8ym7gPnJU4gYAmJAx0sQKkISCMY2qP9CxKAbFkqp7zl4FfKmvicH1C1hM4MGjBjSzx/ySP 5cFY9pTiHejhsJELJc8nJvXp2KkxaJoALL9a8lfRG/JKy1CNJz05lMpzQso24AcXzCw0ZFVX 5+qQ6/jo0kxdaqhDF+K9TnunLg6fzCXvwCuPpCObuKDcnvmGbHkZX9OxaVUCumn7Esrsqlbz 0jiHdtqXSmxexq4aVmc0zXgTSkfOEUYOG9FlEP68db+j0EUMUVElQaziqpokYB/HVQeUuP28 SuRmt4IxAzDWtamqjf2KXUGfeKfdqimxY1EElhv1aWp2H18yIb3lmwPLC1akCqPuDZpRFR4k GzRz2d+36hu95t2KNKE/2e5MBOf4wPTKE6Kt0tSDKxFigk5LNNvIRarhxCLVk6wnsvXmoi2Z E/7MQUzCrj1gEURDyoBzo/WurErrDBrhEBETtn+iCwREgolcrrVFQiVCBXs7+uOPbmeGn4b8 RMTV6jEcaEioATR9vgNb7vBum2Zcd7NxV423B2cmpaevY/LAqEPnGbwp9USIDOJ1QlzlFQ8E CJ2KhZ2k540/RJITZgVrAlEhjA32fspQv+zvS5G5L+Cy5b05djalmjIM2zRe0Zu3J1QMdbuX V0sVll8mXWGOF57FGOS0DaU4UIuoNT1ESbpoPhOksBimayLwmAvjUdyRd5VhmUzuUNiggcWh JNtP55PganZavQhvmEg+LUwCjEzGt0kfyKSsxJgOZzbjeR1acEh3KQm7KpB0BghQCUjrMRAf ic55NWDj+17QalrENmB+xafHC311Ip9bgqpIOEY/PTn7fI5hBYKSHsYcqMWC5KXW3CX1gEx1 BUSMuKqvjXsEDkGdOpDxrYcpEqkqPGXqvP95sTznILlJznbJrwPOU6gtwlif8AC46cPewC0D N46gtkSpMVaJFVIZfi8pMfpIbkS1GcUNHh7W0h7VjiNhWQ1lHzBjI8XSt+SpIodrEK0SH7jF pWHpx52mIWqB5/b6ooZ67t58ycGa/Forvi3nPAM+JNGKXvAWFTzroYjwtX8Huzf8THumob+T iqFedYNLYN0LmgpXgstj9PWCekk76pkxfm+POVbsCPz6vrkNMbek6uVOVsYErxj4TuZ9YCur R7zhrakf+XauX5m5aucDlEgYCyOacDCMNhPrJSqSogru0KG7rvlwvL04nhVQLk6uuhMap3b5 l1Mai9LZmYfDj5lvz2YEpznoRLHAVSYa+Co556O7sNHEL8fu5Cl7EGtYwFwS14Q3+oStJCcq gCmIMhcHNOd4g1nAl4VYmkA1z2iCqHtLBsZgAHD8BkLbtLu7t/3D6y/fzgYc16pKBYGHm49E wTkbYMi6LL2H1csEnoRJJGJIsgGexKG9JRRgQ3nVyAOOt/hkGfnfIu0ikvT1wR2WsSaRN7EE T0I4COd07pQi3CO3BGIXubA45y6akSVd7JcPk5/QtmqUXsSQ+5VwZbudKxgo8+trF7o1O6VA 9ZULUbIa3BTWxu0XJnaSeeP9r5+vz0d3EAT8eX/0fffPT3x9aBHLgVyxWrh1aPCpD+csIYE+ qbyFxaLOzHuOi/ELaa84H+iTNtbFf4KRhJOp2Wt6sCUs1PrLuiaowfnYel84frylQ0ZpdEIf SxrL44Qyt2rsHCGJhFOt6VvywmwXHBLRogka9dte9av05PSi6HMPAWIVCfSHq8a/Hhgcna96 3nMPg38SokeFwoQ7xfoukzzPq9HWy4/EoDpQdxevQCsKf+mv8p7rAnAEjHuPvb1+38kr593t 6+7bEX+6g70Iz9//9+H1+xF7eXm+e0BUcvt66+3JOC78D8UF0fs4Y/K/0+O6yq9PzuwAlE7r +ZXwWIVcYBmTB+N6DPYVYUiYx+dvZpi18VuRP4hx549TTKwZHkceLG82xLogPrLtWqLr8pCC N+HecZrdvnwP9aBgfu0ZBdxS7VgrSmX0fLjfvbz6X2jis1NimBCs4iTQSBoqxyOndppEdifH iUipJTHidOHwklh5Lsh6EojFFKJBucf2wHT2Z3LuNb9IPvowIZcihOMS/vA1RSJZDgn+dEyB Tz9+osBnpz51m7ETEji0bcvPiOGRSFm/Qi8NkaT7eHL6LrqToaAjztifPEgE3yuoy7JVD9Vd WZLu6lm4tm7VnHz2V+6mVpURi23AFTmUYtoKSlJ5+Pndjj01yhU+J5EwveZIlFG1gyz7SBDV NbFfkZTgNqkgBJER4T1OcPGBFsas4HkuWBBxqCD0UXaRrbczpccAPNrTg7s0ZuDFRncKcP5+ RajdEJ/AX2oIXSqWcIrZS+jZwBN+sCMpLVhcZuyGEFxblreMYgoKvjDG+txd2o8jzcE226np JmBTW+YIGy7ZCj8NjeFIs7hMDKLD66Pj/prtNhW5STQ8tJxGdKDtNno427DrII3Vv8kLdL97 eVEZj901lIIh15dDbipieC4CkXinQrQH9ozOiABrt0/fnh+PyrfHv3Z7FSpuTM7sMqsWIs5Q N5ykiUBlW/Y0Rksz3v5BXEifbRJJiS68DIDC++5XATmMQX1S1f5coe6aumGOCPrKN2Hb+RpG XWaQpgkodlw6uKeGO4cHlB2eZcRsSJYEwX+SoAeUQZa2uWR8rJimF60BLe3GZJSLY1oNa5Bc wZP67OLzx3/jg9UBbXy23dJGF5fw0+m76MaPr2lTDfX5d5LKBqypgF0GnY74O93iWHtdFBzU UKjDQpXiLwJZ91Guado+0mSzyvbj8echhnBQqQCn71B4p3i3f4UoiPIi94L51l4e7p9uX9/2 2gHdcW9Sj3eHDvKLKu1bQ4flRUXW5dq4A44QcAuA3FY0JnX9NjR8aKq+s9waJiyaSs1yANQh iw2I1kKlRA1FKwgoGCIbnrOtMl7G3DyTgWCdut8YXS0SOafXeaU84THCG7j4WKRuKBCrsyp8 9IzUjsDiZswePVdk1zrKjbMaFHpe0CpwNU79wPpEUOrgdVa1kDfSaCWCzPoVDaRQbnVmUv3q mHJpECVrtIknHU+7/OGv/e3+19H++e314clKQILqQVNtGImu4RA42/YOmHSmM55yPsOxY4ZU Pc5W2zVlXF8PaVMVY7AagiTnZQArh2iQq9P0SRlREPkOLJrK2OvjIVy3ExBtRAXBBjuAXsMj 7riot3GmvDYbnjoUYPVLQTrG7NV1LmzNUCyZtOgsMS0++WRTTFd1Aya6frBLnTkXMLj+L9gb NIFkYzy6viCKKkxISkES1mwke1ugiAImbYn9L9GmXESTAsSkpZ8V4tZRg6w29DhNtJMEK5Oq WB4TDCYhT3BbzEOoJ/yZgSVsKFjrfPg5Cd/eANj9rTWBNgwDntY+rWCmFKyBrCkoWJf1ReQh wDfWrzeKv1qHmoKGDKhT34bVjbCCYE6ISCJOSUx+UzASsb0J0FcB+Lm/ZwlLT8MSsVXeMLgr qybhls2krWIhWRbytoZZfokYQ5EXLgjMtoPFM9Dcb/YLzzQ7QuiVyRHzynJbgN9Li7XMndf8 +Q3Ewre2juxYYDskCf2KAk7AuiJDCBS1sPJqVZDFna9Ea3lu9nF7qp14zKa04IKdk0ddC8F8 K2MkJr4pMahfJlAQjNa+FkwoTI2AFvsZ2SpvHwn4P42h3x0KkQEA --envbJBWh7q8WU6mo--