From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============3891319616367364158==" MIME-Version: 1.0 From: kernel test robot Subject: fs/f2fs/compress.c:212 lzo_decompress_pages() warn: should '(1 << 13) << dic->log_cluster_size' be a 64 bit Date: Sun, 13 Dec 2020 04:57:29 +0800 Message-ID: <202012130424.mPCef1fb-lkp@intel.com> List-Id: To: kbuild@lists.01.org --===============3891319616367364158== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable CC: kbuild-all(a)lists.01.org CC: linux-kernel(a)vger.kernel.org TO: Chao Yu , Chao Yu CC: Jaegeuk Kim tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git = master head: 7b1b868e1d9156484ccce9bf11122c053de82617 commit: 4c8ff7095bef64fc47e996a938f7d57f9e077da3 f2fs: support data compres= sion date: 11 months ago :::::: branch date: 3 hours ago :::::: commit date: 11 months ago config: openrisc-randconfig-m031-20201213 (attached as .config) compiler: or1k-linux-gcc (GCC) 9.3.0 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot Reported-by: Dan Carpenter smatch warnings: fs/f2fs/compress.c:212 lzo_decompress_pages() warn: should '(1 << 13) << di= c->log_cluster_size' be a 64 bit type? vim +212 fs/f2fs/compress.c 4c8ff7095bef64f Chao Yu 2019-11-01 198 = 4c8ff7095bef64f Chao Yu 2019-11-01 199 static int lzo_decompress_pages(st= ruct decompress_io_ctx *dic) 4c8ff7095bef64f Chao Yu 2019-11-01 200 { 4c8ff7095bef64f Chao Yu 2019-11-01 201 int ret; 4c8ff7095bef64f Chao Yu 2019-11-01 202 = 4c8ff7095bef64f Chao Yu 2019-11-01 203 ret =3D lzo1x_decompress_safe(dic= ->cbuf->cdata, dic->clen, 4c8ff7095bef64f Chao Yu 2019-11-01 204 dic->rbuf, &dic->rlen); 4c8ff7095bef64f Chao Yu 2019-11-01 205 if (ret !=3D LZO_E_OK) { 4c8ff7095bef64f Chao Yu 2019-11-01 206 printk_ratelimited("%sF2FS-fs (%= s): lzo decompress failed, ret:%d\n", 4c8ff7095bef64f Chao Yu 2019-11-01 207 KERN_ERR, F2FS_I_SB(dic->inode= )->sb->s_id, ret); 4c8ff7095bef64f Chao Yu 2019-11-01 208 return -EIO; 4c8ff7095bef64f Chao Yu 2019-11-01 209 } 4c8ff7095bef64f Chao Yu 2019-11-01 210 = 4c8ff7095bef64f Chao Yu 2019-11-01 211 if (dic->rlen !=3D PAGE_SIZE << d= ic->log_cluster_size) { 4c8ff7095bef64f Chao Yu 2019-11-01 @212 printk_ratelimited("%sF2FS-fs (%= s): lzo invalid rlen:%zu, " 4c8ff7095bef64f Chao Yu 2019-11-01 213 "expected:%lu\n", KERN_ERR, 4c8ff7095bef64f Chao Yu 2019-11-01 214 F2FS_I_SB(dic->inode)->sb->s_= id, 4c8ff7095bef64f Chao Yu 2019-11-01 215 dic->rlen, 4c8ff7095bef64f Chao Yu 2019-11-01 216 PAGE_SIZE << dic->log_cluster= _size); 4c8ff7095bef64f Chao Yu 2019-11-01 217 return -EIO; 4c8ff7095bef64f Chao Yu 2019-11-01 218 } 4c8ff7095bef64f Chao Yu 2019-11-01 219 return 0; 4c8ff7095bef64f Chao Yu 2019-11-01 220 } 4c8ff7095bef64f Chao Yu 2019-11-01 221 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============3891319616367364158== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICAMc1V8AAy5jb25maWcAnDxrb+O2st/PrxC2wEWLc9I6zmN370U+UCRlsZZEhaTsJF8E13F2 jU3swHba7r8/Q+pFSlS2uEC3iWaGr5nhvEjmp3/9FKC30/5lddquV8/P34Mvm93msDptHoOn7fPm /wLCg4yrgBKmfgXiZLt7+/u3/etmd9ge18HVr1e/Ts4O6/NgvjnsNs8B3u+etl/eoIftfvevn/4F //0EwJdX6Ozwv8H+cP7t7Fn3cfZlvQ5+nmH8S/D514tfJ0CIeRaxWYlxyWQJmJvvDQg+ygUVkvHs 5vPkYjJpaROUzVrUxOoiRrJEMi1nXPGuIwvBsoRldIBaIpGVKboPaVlkLGOKoYQ9UGIR8kwqUWDF heygTNyWSy7mADFrnhk+PgfHzenttVtcKPicZiXPSpnmVmsYqKTZokRiViYsZermYqo51wyZ5iyh paJSBdtjsNufdMdN64RjlDRM+PDBBy5RYfMhLFhCSokSZdETGqEiUWXMpcpQSm8+/Lzb7za/tARy iaw5y3u5YLklpZxLdlemtwUtNF+72QsuZZnSlIv7EimFcGwvoqUrJE1Y6EWhAvTPxhgeA8+D49sf x+/H0+al4/GMZlQwbESSCx5aQrZRMuZLPwbHLHclS3iKWNbBYpQRkEcF1hQWW3IkJK1h7QLs7gkN i1kk3YVudo/B/qm3JN/kUhARqycghvPHIPU5XdBMyXeRWhMRwUiqRmPV9mVzOPoYqhieg8pS4Jjq Os14GT9o1Ux5Zi8VgDmMxgnDHl2tWjGYvN3GQL2Sj9ksLgWVMIkUVNnLtMHMu+a5oDTNFQyQUc9s GvSCJ0WmkLi3J1Uj32mGObRq+Ifz4je1On4LTjCdYAVTO55Wp2OwWq/3b7vTdvelx1FoUCJs+mDZ zNpHkjkf7cYkTKIwMbaoXfs/GNXMTuAikD7RZvcl4Ox1w2dJ70CGvqXLithu3gMhOZdtl/Us3dG7 odi8+sUzEJvHFBEQ+c1LZ9C05Ypg57JI3Zx/7MTBMjUHcxbRPs1FtXq5/rp5fAMXFDxtVqe3w+Zo wPXsPNjW2M8EL3JrK+VoRiu527sPjBue9T575rKDgaFvxOjg5vDDMtHJvB7dcj3mu1wKpmiI8HyA kTi2+40QE6UXgyOwAGBDloyouAMLNUJeQXNGpGPZK7AgKfJIsMZGsFkeDLP67QhdMOzbljUedBv2 hxpMI8yjAcwYVcsKczxvUUghiz6meJ5z0BhtVsCJW+7BrNq4yh7jwdcBwwiFjY+RqnfgCK5cTD1L EjRB9650YfnG8QuL0eYbpdCh5IXA1HLPgpSzB9sxASAEwNTZu6RMHlxp2Lg7v5E1rfg46tInI1zy HIwyBEdlxIW2+fAjRRl2nX+PTMIvnt5itICAi5Hza4tHtpgrg2T3bBwhxAzCZ6VmVKVgiLRwIAhK +pIcgKPKofaDmcrpWFBjaexZgNZ5xqdJBEbCVq0QQVAQFc6YhaJ3vU/YYtaac27oO1VjswwlEfGM aGYaWZpk3LwNkHFlX7qgivlFznhZwDpn/kiMLBispGag9MwERgmREMy2j3NNe5/KIaR0xNBCDbv0 nlFsQR2VGMpO64BxkM7y05AS4u7UHJ9PLgdRZJ255JvD0/7wstqtNwH9c7MDH4rAPWDtRSG6sP3F P2zRTGWRVsJo3IbFBZkU4cB0aVjtLYyycivw1JkAUhC8OUooExT6dgH05JJxf3it28OQAlxbHWt4 ewMibcwTJsF2wn7haX8SHT5GgkDUSfzjxUUUQfxsnCnIEhIVMMS+Me+loqmx4DrLYxEDSmYzBAL8 iCVV/NQKyE2+GlKe00wwaWUsOgILtbJkhCGr0zS1ApomeI6XFGJRNwBmPOfgM1Pb0YP9xib+jxI0 A1NT5JrGE4zLwnL3EtKiedV00EJH7eBfLITRxvywX2+Ox/0hOH1/rWI/K7ppFi3O5+X5dDLpuoOo H/xcFUWoGBzdzIoAGiaZFBHCu5KoUDuhKsR9Xh2PAWMB2x1Ph7e1TvLtsZq2xpozSJPLKDr39G3h k3NbhzwUYOY9iuEhJGzhBMbeuVo6mOb+hOOhPJ9MxlDTq4nPez2UF4bDvV78tDdWAaNdByiTzME9 ipLIu3GWyBgRvixnufCZXpwSU9Ro5EU2f7x9+QI5QLB/bWTVdvx7keZlkfOsLLLK+xHwspjmeoO9 x3IKk2wJtQOsYiqb+Z6BG9R7WutUTlaH9dftabPWqLPHzSu0BxtrrcQOHZDAcbXzYs7nw80G0jZJ ZwkKD2lFR2AaXkxDpkoeRaUdbFYFIbMxwcooqis+JpG0DAUnRQLJKbgg4/O1x7Js00zpQL9MwPwn 8qZX0AEzXo2rXbe/qjO3HYdsS0uYL87+WB03j8G3yhO9HvZP22cnw9RE5ZyKjFqe0gBNlKbKy/Kj YzLf6bRdT1LMwCLo+hDGNx++/PvfH4Y29wdiszKNVAc81PKGxunLVDv3SY/DfZbrVWCd7SHHw9fI ItMI7x4Girok5o1dqvaQ0bZ1MzcCawi8KWuN1MKF1GI45wbRxPH9Xlv8SJhek2mHuSxTJiW4vVJX 6mRuXE6qvYNvWUUGCkrAm6YhT2yGax1zkxKJJQM1vi2oVC6mSfaWsCN6KJ3JhHLmBSYs9KU9is7A /zj1lgb5wHtxQw+vfZZSrc8fxYJ2LL18NKupTGVpqnVilGwZ+kIhix2MQ4xKMzxYSYvH3Fu0rear rWck+221sHiOkkGsmq8Op63eSIEC42kZQViGYsYeQ4CuczDbxEEmknUUTgrgokpcQALnzx77pJRK fudZV5+OYfneiIj0K6EjhDlfQgJIfTXFPqn2UsxxoghyuRbvHY7L6AcUKGUz9CMahQTz0zR7GGG/ KFJJuHy3aUJSf1ONMKrkzYSZvxEE+WKMK03bwlWbNkkDB+LvlEbvr16fGVx/8re1dqSPw0340NsB 9nZKb8sFg8a88ZSQ4La1PSf2AUrGq2oPgXBAj+uTVUc1vw8hn20rkQ04jKzKP3yUzaZv6mfdtgak XaryV/+d+bbqLTMriNanUoZPMmeZ8XS2CTfhjI5GzCkMMUSaQo6TiGWPoCvYGZbRvzfrt9Pqj+eN ORIMTM57ctgZsixKlY6AfIauQkosWO4UcGoEODLfptblE1KkuR2kjE3FzCXdvOwP34N0tVt92bx4 Q0XIyJRTZNUACOkI1Qm3m8bJPIHYLFcmDINEUd5c9uI3PKLkc2mN0NTuU+gclqoNHhE3l5PP120a SUEIORUmG51bTXFCwZLrXM3mWiQ4xIJL5M9esLcS+5BznnTa+xAWBL7aRg8XEU/84dKDCce4T0Am nDYZvI675z13DAvS69Gxgt++z3QhFxxnnCIx9+6GcYF2rGuT4Wxz+mt/+ObmOq1zxHNqhSzVNySM yJky7CyfQ7sjuSknU/tEzQJW/VjshM3pc/gA1QfE4NyxXrJVR6Baz3J9mA0hXeREEk2jPL43eQLw M83HanNAHEHS7q2IguI7DlGlZYK8Vk+qvFOVGRLWV2o+ug0sGJn5ulhA1+WnyfT8tmvbwcrZQlgb zUKkDoJQrAVsDVhBSrCi/kUmiVXcgY+pu2SUzH3ynV7ZYyQo99XS8phntg4xSqme9NWlI/oWWmZJ /YupXIPoMoV8lQyrSaVQdn8QLVQ4vz61xzRmC9y+bd42sAF+q32Ikw/W1CUOb3v6ZcCx8i26xUam ajZoBVr0TqtcMO5quYaasv3tEA7W3l55A5bRexOTkaVhDVDR28QDDSPfEnDoN08NHrbUu3iF9DLf JZmJkTJoQ0Bk3wb2COCnW7pvWwp/6tIy+/aHs5PzsE/TZ1HM53QosFvD+yFDwZv69LzB6zhIkwwl hBEMM4BGfn2NfaFGq3nMM19dvRhCa/9sj9G47OjWy7gOPVzrgEi6nfSwecQiXkbITrUbXD3Bmw+v T9unffm0Op7sKuz2abtuLllZS8KJ7LMLQLqywvCoGmgKhVlGqM//NRTR0uWehhUXUzteMQBzEugE 9jV86Oh7vQm5yN+ZgEZf+1YX9RL9Hrp/it4yxT5ftPtyD6sbTIoUjiEYGl0CNRTvrhBixve2BmiD o4jYZ/tIJvXJNddXuxxvDNYYmfzf55EHEczCCV86sEmgOvqXEURz8cfer5CWzJtoqHFguV1v0gvV kHIme54hk7G9llj63HudP5l4yfEtFqIKoojbu7grw0Lel/V5asOw26QXPQanzbG+qNNGoQNUD2FH nF1JOhWIdHlovlp/25wCsXrc7nVd9bRf75+dDApBFOIP6JEvxQhVx+JQHwdSYp22AkREWj5OttUA S6XuvV2WYUZzpxcNKFNcVlFlrzeD1IVxXo5GnUAWM+J2Gkvn070IZgDEV8MEjIQEU7l1yQ5YUkzi XlctbuywB2g8t/GMYMLnt81pvz99DR43f27Xm+DxsP2zV0bQq8EsVJKMONmKoEDeq1QVcgH/nG0M W0QsfB5UY9Rcj9WnV/P+EK2Wji6j62HJBE2o9MdBS5Yin1cQ0Zy5pfEKAtlPXihvVzXBLH8nIvns cwAYsajTd/3VPzM3MGhP6MLmjQEX0n/onUV+j5hLSLESX1qjJ8giK0ZJlqrIqhOWLj9HLOELdzfU h3GG/6RVo2Y8jJHo3VNIMUODDnJ8tl4dHoM/DtvHL6b4252Xbdd1xwEfnvQV1SlSTJN8pNQNfFNp Hvn2HWScGUGJc+yVi6rHiIl0iQSt7hM31i7aHl7+Wh02wfN+9bg5WOWXpTmwsS+GtCBTSSD66l6H pHdKoHYQ6ypU10rf/agX5uvUQoNgksS9NNfRWUc27c7pL6NptUSZMicNVoWqseLmZMaP60Et1usz ACLYwmtBazRdCPsQrIIa01a1hIgg5fZNGYND8j7DDUV1FbrL7JtrCHlRX8Sz+hd05hTDqu+STfEA Ju0bSzUsTW3v3DS2b0mTFOmzbFGJPHKdi0ZGNMNVZYl67dqI1lem++1YWzu36MvvFB2xklYLu8oH mxv7b6bMMvuAT3+BtxEMWXmNAab6YqoPIZmIOkxXFtO4IryrUb6qtHKPPBUxwh56sK5U/ro6HB2b oxsh8dHU2mW/N7sQ73cKmopHPyAA2YacKx/VoJbfTNDMu4Bfg3Svq+DVjSp1WO2OzybbCZLV98FK wmQOGjxYhznd9DOwwpWCd0KJlGPGM/j2347rY1rvRvp9SBkRX+VUpn1Kw1CejzOzX/C1UO15Ceyl FFLJrnIvUPqb4OlvESSMX4P11+2rL4gxIo/YSO+/U0Jxz3RoOJiPvkWpO9IZiLnzyTP7CLxGZry+ Ft0fvwzBjdwrOljqgDD5p4QzylOqhC/a1STaKIUIUhZzCbo8dyfbw07fxV4OF8rOPbDpQOhqTKyG PlMQmd0pD49TIpVTMGsw4K99RwANulAscbsDLen3A0oz0gUKJTh+Q99c7R9XsupYZvX6qnOkGqjP bCqq1VrfA3J3svbDsGDNXl3lHmzpPL6X6TtSzxOkr0/7jxN+MJHqocDm+elsvd+dVtvd5jGAPt8J //WI+mpiBDlnPKZkOM6nF/Pp1bXLdSnV9KonCZlUsnAWrEE9LsC/3iL7lm2aGuWo4s7t8dsZ351h vdaxINQshePZhZVXmmKeuYJ3c345hCpzINY8ofgh3+yRwFZlEFX21a4GVzc976sLiuP+pyau45gR bjRUsM/c7dggpnfajM0qLlt4g6QYg5XR6XzqvNAZIQDDjvuyEmhpSMcte84GBEZuSU6ICP6n+jmF 6D8NXqoTsUef9AyZqzy34Kt4a6VbWf24Y88MvUGQxhYhc0cFQLlMzEU7GXNIC+zDzoYgpGH9znE6 cUfTWF0RTUcdnqaYJQUNWV+BTM99r+9QxPeQCoSFL9EhygpueWT/ro8GlVt5AKA+PFaCUgdIkUju /ag5D393AOQ+QylzRjXHw87dMYA5kTPXtwwhOFxod2+fZVcIXRZ0YDoXdZ6eQLxQ3yLuEs4KVKK7 T58+fr72p8U1zfn0k+80qr5+ZZVm6vtYWQE5P3xYCTwBf2HZmZowgQDIDzXn5tVbu099PBb3ueJ1 28reiRCMz/aorwlAsrxZr96OmwB2AS4hwQWjb85nq+k/b9anzaP1PLeZdEiGU3GMswWsp3Z+7cPp 9y7ODjCrL/O5wmRBekxpwHVOJLvluuhlcyugyTsVMnIuqf2Yq67YVrxv5dhBzV2/gdnJFikN5Nvr 6/5wss4WANp70WJA5jQvR/awBh6hUFQ3vxwoturFGqCQmNmnqhaw0gc7Irdw/dJNU5K1515FH/qV epcLNgE4zSQXEiyQvEgWk6klB0Supld3Jcm5cxBrgXUW7Dtgtyh0TmwfWxdpeq93se/4F8vPF1N5 OTm3W0Dym3BZCKrTQJOb+6+b5UR+/jSZIu9DHCaT6efJ5MI6tDaQqXNTveGFAtyV93Z7QxHG5x8/ Wu8IGriZxeeJc+EuTvH1xZXvIRyR59efrGhaW0pYILjS/KKsYNYQvejnTj/1gNyYRN6LgPkiR5lt UPHUfjBBaa4j22Or3B2/DQb20fTSy+gOf+UZtsYmdIawZWhrcIrurj99vOpUrIZ/vsB3147QG/jd 3eX1+DCQcJSfPsc5lXeDsSg9n0wu7SpWb83VS+/N36tj/S7ixbxbOn5dHcBYnnSiremCZwjjtBFd b1/1r/aDYcgw7Gji/9GZbxv294yDG9lx+tAB6YQnbw9y2O60eQ7AqUJ8c9g8mz9k4ZH3ApxKLwro LuG900XLbhxzmwmOmakSCW1b6xD42Lem5pJ1yp0AWCBG9F9H8D7s0A06BTLNSWq9NDCQ2sU1rDAz qIeu3lr8DDL49p/gtHrd/CfA5AwU4xfnOKP2W9J3+xrHokKqoROU7kFkC4VIPiPcX3Ju+/PfZWrR 2JdZmfWaNAQ5f+jAwBM+m/Vuoxm4xPp4VJdEB07P8Eo1CuskeVVTCIEHsnFJIvwjCmb+/56IS6n/ OIkm6AlbwxMWwg9nj3RN/He2WwL9ZKN/CObQiLwdt8vpekzpMXlpnrXYzkXDTcnPvFvsLaGIZIyJ F2jSdv0sZYiFwCeTNt5dm6YgS1wq3NKMM0IThyPqVm2psTvUGlnfLO5twrineyQuBUF4QFbGOSSK g/kDgqbeEmGNRUmBBjLpmRUrCnRClurNZMj12yQhRrah1GS5qxn1H+3ZnQ77Z30TOfhre/oK2N2Z jKJgtzpBlhhs9SPXp9Xa8g2mLxRj5hGoAWO6QD3QLRfstj9tPYwn9yPD7CJ1a+HV431C9WMtbw+l rmwj+y83EGN5JwPIuZXV1pCJk29WwMsrf7oE6DY2HiMwF328Z/FVfG/b1OrN5piG1ug6aJTt8ejA JhP//qjDah3gjx3N1mdEvmPRRepE8GXupHsNpJ1U7ahf306jDtIcItvzN4CxqwEVMvovZ9fW3Lit pP+KH5Oqkw3Bux7yQJGUzZgUOQQl0fOicsY+FdeO7Snbc3ayv37RAEji0qCm9iEZq78m7mh0A43G DuzhejrF0zBw/GAVcH4rgvbcamdeAmkyuCbBkefleOIrXFucZ8C7UXC2tMN9K/0sWkfglPmAnasb bDTvy3J/Hv8gnh+u89z9kcSpzvJneydKoVHLo2aoT0Src6y9QqMut+Xdts16TFlQSqhMLPjJKu4j JCboOorRt3cFRmZrfMX+7YxrdBPMFvmsY2YFfsfP4mJLI9MG8aTyO34yjM/hmYu7wPOoIqs5ljXT V5jyiFVpwubC2OUt4TygyvGCDu0hv7mtcN+LhW0HUcEgn/WmwcogTysNan6XdZlJhMrI42KjDBPi UOoNJrQcRzqOY6YtdgIwXUv00s+9bZRrnisUwjI5Dv2Ahd/mxTpYwtABYjIq5/ALERR0CGJSqSft Kp4VNEnD2AUmaZKodbbQDS7bVbaeyRHiaHqNcWjK+tyMgzPDieE8BMmlxA7tuavGvFL2p1V8e/CJ R4IV0N/gIERqa/flucr3aUBSB9Ndmg/NNeHrN4oPA+3E7tYaAwwbR2tIDmYmXGgKwRgaW2kYhzFI MZbL2RXZxot8PCPYfWYjEgdvsqajN5WrRcpyqPAPy+uszkbHVxyzxIjGMuaBpwarUMHd4c9qoAdX J1y3bYHe4NEqVhVl2eHlq+qKjTVH4WlM75KYuPrk+rD/jOtOWvVuh51P/EsTBsSfq5ZljYk4leOU 5W1zPqWe5yytYDHEAMrZZCMhqUcu5NnkNPL0EBga3FBCsGMDjamsd8xWbaoudFW+4T8uFrpqxvhQ nwd6uX7MHBgd/ohaxrcJwXYzNfFe7ht+EuDquYIpqUM0etjmnsrI/+5lsBk0Kf73qcIvIWtl4mL3 0oAphjQZRyngMIZmw3A35kX4hAWM+M5BCGhwuelzEiRp8DNtVg0+CZxtRnMuei5NH8bne964IqIF R7gGRnhjCTBxqAe5FkZIQfrmPFDXsKJVXWZoSDCNyVJ7NHggfnBpfNOh2eneYgbaXRaAzDzdZXkZ /MTaRcc0jkJnb3Y0jrzkkrj/XA6x7ztUi888iAiO9e1NI3UPx9fVJxqpk0LaPFqAKUFL065J2Yhq 98xkMj9gmhsJR/MTQdVnpIaI7XId6avP7T5jazdXcy2Ya2xsjPFKmOi2yUjkmcUog9FjrTAMrbYe yarS5nystr0jdtdkP49JEm8CWSqrubIx3fiRbBrL9mbgJnF9KuTCuTv1cwl1hiZLw8izC37d+fh+ 6QTD+SjTElCHXIWnKOECWI9lADdloGmcCdyOw58bs8J9eX2ooTmnKhs4H/Q+SZU6m+Nm7Hw20rry 1vr2VIde4GnNZdo3ksUqucF3sHz8NbjL6oat484ydvkujZLQ7K7u1MhWtz44yYHmaOm+hdC9cGgK 3eEsl1CG8VkIWBzMw9DcPspRZ5RpQo51EI522STgsLZ0HmQ6500WGCqVBjjVN1mj/ujHbCjc2Bsh GGccYZwIX6LIFyOhnkco65aed++3DV1T5WTui+UUrKlCaxuSbz3d3L89cHf86vf2ajqlkV/xZV09 mGY/4f/88PdZJ3dZf7stTOa62mobU4LaZyeTJA8dEWZGasRNUv2DPpfcytkmBzrIEj1vB5iPbPhw Lv/BqOZ11pR6DSfKeU+jKEXodageJmBNupyCIvuzYg/w7/u3+y8fj2+2X8UwKDL8qMZSa/e0rbk/ /57W2eQbvJzHDhML0h43pwk0PlkAiCVSGGERplbbV+OGSczhTtl1EUf1TqL06PGjWO2TrIbob+I+ jBqzlxmVRa3fjz9fU8dGO4/w6AxgIANAVnvNZYe7UBm39mawLiAmHxx7OGOeFeWxKTF/UQbIoNPS +fXt6f6r7V4oK89d23JVnksg9SMPJapRkRePcG0eTJw78HXGvPVVpmUYYHlpB+IKsO/PB37PIcTQ HsKvN+XMgpauHIdyX6BRyVS2jHYQzOUIaTkKedLioemQq236wU9TTNOVTHAVYzpwmy60vr78Bt8y bt6n3AnA9kMQ3zM9KyCepihpyErWUNO6GuwumQBnn80Mc/cQg0M3wBSiM01a7SBcsF0Pmuf7EXcb nzlIXFFm5brrKkX/n0N2jXawgWNCa53zvL3rMoo6B2jfreXO02PdxkMBWiNeZdpmh4Lp7uUfhET+ EpEU4XQ1d7Ub4zG2p7700uqoKOmzmXSfYzQYCKLU5kDY0fpcd2haHKr2u7ocUZz9Kkd+Ya+6rnIm IntkRJksWs/NDu6abDRnUD704marlTwPg3hQrDEmyKc44ghNBAv9Y154OFW3MepuZbHsOuPcUfp7 ur+omCpmvyfCqdybTsQgRRE69JpfPIfEQTG/u8JtfU1PBAaKWf4CoepFX046QUyFojUz4dEA253O vcXyXpQIGbJaDTMwEUX49KrFl8mFzXQCAe9+cb1SOaPKRkGHK2mgQiyLf87+67Ac2Iyp77STrokC nuiKymYrX6oHmahKf6AD98MRl1stTRrsBvvEXb3aCSdv/GgXLhDoZBG51qDxYN9HndgcxunEvPn+ 9ePp29fHH6zYkDm/iYKVgImBrVB8eaSNcn+tjx6RrOuYb4FF3ga5HvIw8GIbYNbdJgoJlpOAfuDG 08RT7WH2r/Iww95R4KJU0rDL1tRj3tWF5mu41prq9/Les/7yE3Koyhu+vm631ewpC+nO1gFcjl16 axlC/DGXq7/g6qy8UvXL8+v7x9d/rh6f/3p8eHh8uPpdcv3G1BG4a/Wr3t05DHAuNZ/1NoGHDvjF cl0HMEBF6cEZmKlx1NZfwJ3xBwBsIUOHscxgNh7WHc1481YNHqcUQLE2TjOj/MGm8gtbVxj0O+sW 1pb3D/ff+Pw2tXCev313QyGzlfD6Bt2XYTxD1lImypsp6/bjbzGAZL5KP2quHj74lFZ6ZScb0TVK jPYYDlgcGw5hHcSJ0qPZ2cjiBrzTYWlhgZF9gcXpCawIyrnUgWbpcfdERpM3bzEb66TginagXpsH 91LzFQhGmr9Z9Eeg6muUsNy66qq5f4dxs/jtYZ473JGVq3a4MgzwKPxdmfTFw6ICyGTFNtsb5YVN H7bu1nc6OWer0F7XA0SFp3nqyINp7GdQ7LS9MQB0iQGUukm8c113esZCOdzqrEC0Umxz/pSVTuzb /JY/BWcUnJkKaUVjD927AXyyQtROG9UNbKCMZoAeTuTSwZHu57v9p6Y7X38SxZ87vpMBheQIUA33 jneltjbz5mrbDkJh8MABerGGuoz90dP5rWk6E13B6xcG+YQHow99W+tt2WCa4I36/NkNdyleNBGx Fcjk0ZfFPXValDj56xPcQVBeBwBHcaafLLXsOqr90P0SGWFKBLs4APx5XUHwk1uuM6LTSOHi2zOo nj6zTEL9GcHkUJ+LJp/nfH2zluRu6FjBX7/8t61ZQXBREqWpeP9vXnteeCDd7uYOXl0Eh0ZnsNGP V1b0xyu2YrDl6YGHbGBrFs/t/b+05tFygqsqOX4Z2y7tXFipCi3bnDJQiQTO1ots1R70PYwfNKjd YZ8bsQggJfYXnoUGiPXBKtJUFH7aslHH9Iw02F7RhDZ55wfUU3ZoJwRC+tclQh9J5I12CeBMFiGL UzffsxFxOGPT27ys1dcdJzrrx5t9dq26TC+ZMOsis+k5DZM6iFR5MUHlpwOTcNu+OmBWEAx2bXtM Evh9YHCklleGI+JPHO3OsLqnT6r+k/6Mp+hKm1leVtBpckAYVGjVwFvMGnFp+vn+2zem6nK10lLa +HdJOI4iJo4a6KWbTxNQGSLMILF0OtqK6RZZt7US3Q3wj0ewu3xq7RAvfQH3SCvd1KfC4Gu2aUyT 0cqfZk0WFT7r9HZ7cJWBVu1opAcPe+kh4TnZuSaKFgQ/+vxG3apZ6ZfZeOHUxx/fmNiz+ysruogJ MaN4WbHvrLpen1grYlNdGTCe2W5A9UeropLuuCgqzoPAHg3MhhMHqiZ16KrcT4mnNg1SdTGUd8VP NInv2QNY+By4yrstNlFCmtPRKNvsl2i2QLE6HSax5myeSbgZA9LpmiIbisZRGjuHGMc3xDdmxPCp GdPYJIojdG042m07q26rbc7EBolDWwYFZENGVDQRc6TlQZCm5vjrKtrS3iCOfUZYybW7RnYBzf5g i/wBOxk/kUmfIr/9z5O0Dhf1dE7lRKSRcy6oH6aYRq2ykJNi6y+Abg8sdHpdqfVBiqIWkX69/496 mMnSkSruTdnr+UrNFo7Oni0y1MTTQorrUIpXcuEgAZIZ/zR2ZKe6KKlA6mmrsPZNgL9xpvOQn+DB PPN0jhQvnabQqECSei6A4EBaqu54OkISZBDIzlY0FNhQPmdH7PRFYBB1Q4+asZBdW5ImC39yVju9 UTnqIfc3qru2CjZDHPgBjq2mOi+rTmzZTZ+Z+pJf5GzaQj32EdwoBqEXGhwSGcLjherOgEo1Nz+6 IhO4dsVDuopxAD9ch5iHFixBMAKvoYvZSubF2m7vNoN9izs+wmJscVEZ1LGp0YmDrnhwTHS6VRTO qWCCqFSXqd2CjFZ2Smv7yU9G/djSrhhfbtcqlm2I7ik3IeD/nXjhWqtIFm051zCfYGvrVG/er3Ll MaC6SxPUWX5i0BXVJUXedDZQD0EcESwncWW05aUhYey41KkUmTs1XqrVJtH2CiXEeiwkEd5jGs8G a3WVw4+cGSQBFqlC4YhYo2MtQZttEK61uXRCTOxhfZ0drkshxUJ0gvVD5AW4x/eUej9swsgRCluy HHJKPH33TTnRaxxPc/FVPMOPaaZDRmwji27hLWhabY2TfIrtaW9zeBkLYd8aD/Ms52L//v7C3ya1 48xNgmBXTMcgi3BgtCwfUtZWuLrMGWiQEHwFn2AfEwrgmjcr/P+oxciywU8TDy8Ody+G/docjx44 89zUeZHrCbPmiTae6k3Nqbb1wFPhPq5GyYTfq3aKCfR5j0Irq6C6biAuDEZMEt4TsLlBsLk1o/rW x0xO8VE94xtcIVtwfMTz3gIBH2BCdkZVtQKSlM6w4hhCy0wiLu/SmcXVBtyVFsktDiyaWHPUds9J wBYzow8FUT8yUQGr12+qOPQJr7ziAQBBIuAdjECnsa+7ujBb4bZscMMeQOHQb5RdECNzwHBy7OHi Xow1tuJECSZyJTxt5ZmfMToasGmB09hoX7lwmZOEUdPQprIlIrESACUM4dwkGDE1iEyJ3SRmEzXl fueTLRoIo/w8Thdj9Clh+mRraF8OByfY5TumATrWoUO+ZXawZ50sqonzVcysRJ9HQ5TiiXL8NkVN P47toyFWr68CkZb5dCdVS4hWYRKPawWkTeQRveE5yVCXOP32LmWjzzeblzboqUW2HSPPlv/ZFvwH V4sEWzDTngD78fTl7ZVH33t7fXn68n4ltmiqKaICenQJLE6xJFDjVtGylfHzOWqltnYkgTpA+N0g iEa4zpUVbjFZd8EmxJREAaZJakyPAU4yD/owMDfsQf0iXqRtH4rLUARfQLCbUnp9OEPqiGMyM6Da 6AyDQmi3E1QyWMlZcESxe2mcrrys5Z3Go5W32LNbLbK2padS7QVlRrSTY4mwlSBQptt0i0Z3XeG8 EskO4m2YpYtOdcxsLLc7A3x9qomfBOs8dRNEDsHGC5AHTO3H9ASOGhuaPEH7+IerW2LbFyXarTcB LnXKEXSPV7qJiEPVn2BnJ58a0wKbqelKiikT/2twQKwrPRiLJYoMlsh9gWcuJnZjmq8X/HJikZB0 HK11SGJMh3NNGnn7xlhu9JPE6S7PvAKp3mcum2XZPZL32NTGXy63uaIYLRy7agQ/+rYemCGv7kpN DOCIeRDOu/TQqLb+wgP3ZcTL6GtcTD+7BgHyjEJSzUMqAeZXGmNKsMJTRAFXgbDv9+wfbO9cYRHm FlbqaUrVRUuwok8462fYYkNZDDNqQWxrTMHsUaeC0mBDh7UyAFz7UTpL7OPZCGvich4+KhoMFoLn scv2URChRs7CJPUp5HNhgVwoomA6RsF6MStabwL1RrkGxX5CMrwObDWIUatQYbHluwIy/SUhTsTR O3zT7kKusOhHeMJcK8ITFsvXhUYFrjjBlZmFC4yuKMUCMWg8wvJCGh6smzjc4AXlYIwvIjoXs68u FYGbW44SwGGBC9JXPhPEF0Cz7j/VQJvAmRGzKh2Lt8Jmh3dwcKWbdZHR5B1heqqPjSswPAkqKeW5 igPZJBgidXIMyTNU2Ha7w+eSeOhY6o5p6sWomOdQ6uENzEFUK1d41BPThWwZnApkWbcLRv2my9BY MDoPxZuaRk2axGiLKnaojdXXTAn00AayVBkFYil6cYZ+dZemfoiub0yfj0gc+HiTT8bXagsAkx/E aF8LUwofb5Oh5sTIWrHAArtYrMgP0RVfMaNwTLOVNMywfhRsdoWwtTfpTrdUJXduHpRFlfFjQuEi uWycPz8+PN1ffXl9Q+JHiq/yrOG7uPLjf3SUKWB1y2yvo4sB7oMNTMd0c/BHPl0gLXoXlJe5E2q5 n2yt+32b2Lk4YscPx6oo27N1AQyIx7Bm1uthC9fRMjT2ysK3DEDlWyN6jEDgqSdLmzd4hC7fVHsQ Ltn+Go0hyupjbXYBrcGfAeFQNrL8s26AhxKWxxcAkg9riEy1U1WO8is3tORuoUwDohTCSTpyOdSl 7iDc8GGH3JRgrTR71MlLYfjJLTA2ZePDgfklPuWJP1ezmXlqJ4Jl/nNlgsG6xij27cQ0g/d9mvx3 /uipvK2i+pw39AwQhItQL8oV3ItMdpc69cUcqsLEsUe+MDiCRQmGocyiJMZ3EmQSWZYkXoyHD5sS 2TGlx6GycA6xC2M1jR0FHxjTH1e7Ro6Vq1/ocPXX/fvjgxZzfUk1NarvjK+/lrIpTOCNZuXqPc/5 y+vzM9ju4uPX+b1QtQOrbN+em2I4Ls6uMOzvX748ff16vzwVdPXLx/cX9u+/WKFf3l/hjyf/C/v1 7elfV/9+e335YNV4/9WUzCCI+iO/mkbLms1ESzgPQ8a9OmePzfLly+sDz+nhcfpL5smd11/5faa/ H79+exTves33ArLv8Ozy8tW3t1d48Gv68PnphzmTudwajnyfbkWyDUWWhAE+WmaOTRriloDkKLM4 JBG+EaSw+GuJNLQLXLtWgiOnQeDhSv/EEAUhvg27MNSBI3CSLGh9DHwvq3I/wJ/cFWyHIiNBuNZs J6YnJmuFAYYAtwTlktX5CW06XKIIFtru787bYXc22MTTiQWdR4w9NJgkYepSan11fHp4fF35ji2X CXHYOoJjO6RkrV4Md/imzHi8ht9Szwg/aQ6lOo2PSRyv8YAgJY7TBpVjrfWHYxeR8CJHtDp3jl3i cgSRHCc/9fA1YWLYbLy1DuEMay0KDKttcezGwNenrzJYQALdawIKHW4JcRzgyMk5+pEhZ5Q8Hl9W U14dD5zD4bqgDOpkrQUEx6U0gnCtHzjHZpXjNk3Xh9wNTX3PbqT8/vnx7V4uJtjDweLz9ujHq6Ic GKK1yQsM6aUUVtu6Pcbx6pRoj1G8WU8hMXbnbIZL1WQ2/AWG5EIKm/UsjjSOHYdCUkoNm4Y4fJtm joGQNdnAOI7epTSO67nQnlm4Xe7wpRY8/Z9RuCfWqKvZcEPNCDncoxSRGeKRVecQzQrYAVubJHBA 6NiZnBli/fUpRZA8PTPd6T+PoIbOKpa5uHcF69uArOkJgie1tWiuqf0u8mJa6rc3pqbBMZMjL1iG k8i/QSyVor/iiqn9KVg6zHT0DYE0vxb3yPTbl8fX7++mLmlLkyRYXTqayE8cTl2CwTr/U27p/D/U 3flWiVVw5UKH/YXQ7AHLFmNusSDHwk9TT9zY7o9oeZEUdG1+OOy5L7dI+Pv7x+vz0/8+Xg1H0Unv pnnA+SGOQqfehVQxplgTHnbMhab+Zg1Ud9nsdBPiRDdpmjhAboC6vuSg7vmkwA2tPHRfVWMafN1F 0sBiR4U5FjgxP46dxYJ4yg4PUoXt00Dw24Yq05j7np/ipRhzHjzcgYVOrBlr9mFE19BkcKB5GNLU c7ULSIg4WhskxFGZXc66krialKPYOYbFFLiSkNk7vCIUxhJa7iLXLme646Xea9K0pzFLbnCW6pBt Lo9hWvkkck6DatgQ9MBSZerZwujq07EOPNLvXOl/akhBWNs6jE+LdcsqHKIiDxNiqnR7f7yCLdrd tAMy7UXwnev3DybB798ern55v/9g683Tx+Ovy2bJIgxhd48OWy/dKM9fSGKsHSYJ4tHbeP9H2bU1 t40r6b/i2oetTG3NRiJFXbYqDxBJSYh5MwHakl9YPomTcR0nStlJbebfbzfACwA25NknW/01LgQa QANodP92T1AV2bNB6fAlbOZoH0cjA9Wx6hQWBpk5KSnaep2IcK7GFvXVn5Tjgf+6gpUCVvif6FjN /n77uLY+Un4hEepn6zhIEqcxeDd87dPkYr1erMiopAM6VBpIf4p/0kWw+VpYwUUGonnPo0qQ4Tyw SfcZdGS4pIhup0eH+cJ+gtv3b7CmTH16SZlRkhJsNkROS9qaahQvJydcS0GRmxCh+uvllDUwl0ck 3qZifty46bu5IJnPZpPP1aBuclr5Ggujtzk6F4YDyHcRoXJfukVrMnXJNna429IghraxjCpdwFLo H5EwdmbeuuGjezafti18jdJaBtGVV+/+2fgSFag03l5H8DgR7WA17RlNpmfWQX49p6XdOKfs7RHK lgt8X0d882LSuMVRLn3LXjcGI38lcOSFEWWzq6rIt9g1+dauSk+OJ+QVkklq5dYb6JtL9e6+1zfQ 2W5jhVBCWhqTi0RoXsHrngMdP5jVBHUxTx1yLbNgHU56X5Mv9D5OyL7K3ydzWLfxYs6OiTtUYz3d CqOMx91ackG6cYZZXxhsulkD3/LWwSE1ga764cYw0My74vzy868r9u3x5enTw/f31+eXx4fvV3Ic g+9jte4l8ta7lIDwYuwRu7SyjuaOnVpPnl9o8W0Me33vdJ7tExmGblEdNSKpS+aSoUtd+cJBPpss LaxZR0HQwqd7q9ux3C7oJ3pD5vPpUQoXyeX5zsxjE0xaEobe+uKUgXNuMJseM6iCbR3hP/9ftZEx GkIGboWUJrIIp9cSydPXp58Pz6bmdHX+/vx3p4K+r7LMLgAI1OIKXwzrhWdxVeBmOuJEGvdut/oj qKsv5xetKNnFwlwebo6nj24BWbE9kCHUB9BReoBWBXOCNmkzNIVczHx5K9TNSBOdsY0nB6Er6GK9 zybapCKTDqNVPnILenA4VZiWy+i3U49jEM2i24kU4J4ruCSYOOmT/hcQPJR1I0I2GYoiLmVAmdqo RGmWFulwVKNvisdHMu/SIpoFwfwPw/8adYjZT9yzzcarWAR9KfJ8fn5FH2MgVI/P5x9X3x//1zdg kibPT+3OMkn3bblU5vuXhx9/4Xsfwplb4nHimaANRIXGE9MTSkhiHr92VTDJmi+urt7pi+f4XPUX zn+gd8YvT19/vTzgpbuVwz9KoA+BXx6+PV7969eXL+jjcXoWvHMuX7sSyGQq3fbh07+fn77+9RNm ryxOplF5h6wBbeOMCdF5WiY6F/0KKj+kFqPpG6HHRydbQ/4jWN1Rj4hHvHvT+o1K21nNXkx/o2Lk ZWlC1Wz0dkRB6/Vy5kmFmjRdp86Wn5S3kUtZbM/os3OHixpYBku1juw3Yha2IjeMRuujK2n73fQI 9raaF3OgvAQMHW89QzQqdguNvsoqKs02gQ3bytO2dXyMC/rZ/8jVvWghx8YbI6CbDL+/nkF/+/z0 +uP5obeAmdoe6ikqdn3mW2T4mzV5IT6sZzRel3foPNyY5N4oveebzHeDWU/ZFMYhiXB+aA/oNqmK c5uQ5Ex7hZ1CIr3ph7pFr9ldzhNuEz9CpxhuZTpKH2ZIeSsd72sALYVI8yYjBK6rZld7K8uJEaCB oe1gzOpEfAgDu6jOLLMts8S1k7T4qrpEx8he/DattyUGU1Ze/T01d33+9qQ+tQ3dTnwI63Zv0EVg TXQHStSUjN3R+fQnMZvK4s2qxbhaVuxbVVOPleAh+VOtY+bqNtDMrA/o5adOWZaV6DT7Pv2wXDid QRqqKqSMndpDHqqulmvzHuk9HtoCPGGTZVVm5f40RdDNICzRRJkAxPewHK2C+SY/btZhtALxMgPs Oay1jJaLiODR3jHIL8v5dV2iMJVycAcrznFn2oZK+O7l8fH10wPMEHHVDMfNnQI3snbWfkSS/7Eu Sbty0VkyEzX1FNxkEYy70tFD+Q0Zz8TMv0lyfpx+s8pYcA9QJWaoCBNKL9WGxzvum0eQiedHVaHm aGqYF5vazIIHAl91BXN83Cmm9eP5fipbQFQJeUFVu0fLho7sbvJVrMawCZnLTLCqBrxQpMbfzqfi Ai01eamDbhQY8YRN5golw/K63cr4VpBRlDomUe5wFOogKJOWQrQkuh3pCSbB+OpTy3qTrSj7ycwP Xs4Bg57EoHRs0bF0Gl8Ld7Uaa0Q/czV4hrFM+icIgyvg68zDTG38olcDMpVbdheihxTSDlPWry0a hCvvTVSXdpxKVi586FHuqj3zjAgMPqGn+mHXiX1ARCEzZ3lPJ7KENW0jeUaUhNh8ZfrItJGjF1le QNyo8BP84hqm2NCGkS5gNTcvmV2kPdz5SlYw7d5oYLtezGcLMgNA5rStsMGyiKgthMEQRQui7teL pXlMbdIXAV2bKCTfIRoMVrDDgZ7F0TIgytomwVoDk8K2sLuJaZPvniUWYZSRsZJtDqJgDRCtooHI ByypqsZiEWSei2yLJ5q/IQmaixBBDSw9wIpsQYTIV/Emw2pG57kiBpqm+4ZZh/qcLZhsx+NbQwK4 wnlI1y1c0HUL7UfAI4LW8tTh+8BxhL1uQOg9SpUkpEermATd8nLVU1OxmlOiBvSA+pRUrMM50dVI D4jRpel2gGoHs6Ns9Jq4zJfUHMyLomzr69C6C+/B4ZU6jE5StWCgeM/IMw2LBXRzNs1dQdGMaCyF 2FZbFrQhnVPaRa6IrtT5EoKWi3y9mS/buzjpnx9OmWDrMl+u51StEFqtN2/IueLaEKLXAb7B1sOX lzTkshxqOMCl3BF+M/dwRjVdB1zIXcFv5w5tSwhJj1zKX+FvFhDNg9+eHBB6u+8UFzm4YPyQg7XO YL0jBQY3o/NLqysyhMR41btYQo3ey8w25hsQvs9ZIog9dI/Qs8mA1in8QyZHO1HYXlcZ3/HJSYji qHedPuvT/un9pBB5YF2HmsCSUts6gO6fHqS/U+SLyLyaHwDJQmqhQLrttHdEOOzJL228JRNBFJEK l4KWlxQc5FhRazgAkWX4YwKr+dFTXLTyXNAbPKAdUt6QBg58ijcnl2K5Y5v1ijouHzjGd2tkBiP8 xuA0OUkBGBjC+ZHo0RGmQBGyIFilZBWF1nAu1Q1ZKJVcPccLyZ0ALEObkHQkPHDk62hOSALSKd1b 0YlKIH1N57OaE9MP0qmZTj0M9PCH5EKOyIIy/zAZIk/VIlJg1PPFS7qfYiCGCdLXxKQC9DWln2i6 b0nq0Ld0Y/Q05nnHYLHQ73FMFs/DEovl0ryCDCtaEBG5pN4hw5qYp+/VOcZmqQ0GCDVsFZGTBvp+ iS5JhWIgBLBAO5YFIS4IrKmhooCAnIo1dLnhZcVgRz1jzk6wvzayzlKsovWqibcg5InJCLs10wvp vmbVQeFEKw0n8d2RzoEn04syII4nbPBjdI8v67TYy4N5sAZ4ze6IohrM5pvF2B/3Ty1Yfjx+QpMZ rM7kfAkTsoVMzWN5RYvr5uhURRPb3Y7sGsVQVRntp1GhoqFWZwU1eCXilrdNs2tO33AiHB/Suj5d gDn8OnlKjMvGcgCGtJzFLMtOdktUdZnw6/QkbHKs7Obt9PGpqlMhbCL04L4sam5ebI201ow/gexp LlozwrOiZWnsxHBG6j3UyvN1+zTf8jqxs9nvzKhXSIEMZNm4fX99Sm3CHctkWdn1vOXpnSgLy9c0 lnGqGfpdsKkcQ3o5JJm6H/SRbWsqqBJi8o4XB1a41S8wdJw0A30gPYt1HA2bmCYuoShvS7cSWQkb UBgOXrHK2Z7HedkIyg5EM2SydlsgZ6ddxsTBLa5OtSz48uJxXYpyJ53cSrx2SE9ubnmTSa561JNf IbndCGUt02tH4FmBYQOysjYazCBqkbXKrVLYs58K2vRcMWCM+ZiaNBWaMfTxA8LkjJ2q5rBc2TTB OFbZoeWiUYFZrVJFlaZJxotrb72ETBkZ/FxjaYbx7FNn6ENRVaamebsr6cCeOCjqNC2Y4MYOeyAR rSlyVsuP5QkL8dZc8lv6yFaBZSXg031j6QCDJndLlQcMoT6N6GsxNbgetZWgzO/UTMF5XsrU7p0j L/LSJt2nddm1YUftKZMJ8f6UwLrjjicBQx+dSTZbRxI0PYZPKfPul9tRLKvo0MfUSjm4YrFX8yFD FXOcJ2R+k2SDZYBBHJZ0sW3LQ8zbjEsJSkhawPpiueFGju6Sjmj+3LTEr+5qtGxIKeLwwnTIGLja LcYupXUuVHwa5iu0D6er3zwpF0naS9Lh/PrzjcDMmNx3YYiYSKBBxg8YSC26VYpjWGstI5cRrzK5 y91P1FC5A0WkckaHh09uyKd9A88Y5HkC7fCveaw+QjnPtilr5KR+PufJgDWQlC/rMiPfLAJDfDNp qlxe001whJWPVquMz6d9kI0MLF+aG+scFBfJlYXTmFtHm/axEUpU/Hz69G8iAEyftikE26UYuqvJ 7fgrAlSzqdwOqIY+fJsW5pfMLnGR3qG+YIgW/tK2nRSt7dd2E9nWaIFXgJC2hzuM41PslQqiHSGk CWVCrBIyJueB5w29ZijCWRBtaItJzSHCpRMlx6panC+tM9ORGrnUuJ7N8AHCwmx7haTZPApm7rMt m0f5Zn8Lp7bHPaovSF3ixjwaHKgz+7BN0bWnU18BOrSoW0JHdUw2FWRHXdQlY8CDhcOHxGhS8yqK jsfOQdmkpoiST3JGNCQyXE5LWUfmZVNPdFwM9+S15wBjbAlP1K6BgXa3rODBYNkmxvNgIWbm0YXO zPTbqiijT3VHVJNgbfq81R8jw2gTTr6xs2v2VbFzxTtJJmOGjkl9yWQWRxvrPFPn1nsHnpBd58SD +Ee/fWVcyyQAUZ9UjYtwvsvCORnUwOQIjkPc5nHCUeZc/3p++v7vd/M/rkCpuKr3W4VDZr8w5Cml CF29G1VHw7Od7g3UsfNJNXUgEb/s5NkR+tePoyt7P4q+ObYnSe3CdAepsCL9YPt7OoWsCGKgTuKG BpMvT1+/UlO0hLl973MrqTUTvuWgydHHE7WM9cJBVD7BMFxoUmy78ByonsUUGIxnEWOqVpt+GmcP QBsCCcCiVMAmx0ZLQwPXsbphNd0DYrDdtezIkdvQL5UdIrINFLSOy1oOtKW1fKh3CAekt/k+pxTL kcMUKygWi6TV1F1bJUS8OaTFz0/oRHJsGCZOBWiux9b+qpx1yuyk/dqa8WHxBvK22RFOJDHTHXdi 5t0pOnWIp/NxuhkosG/JdlgTepviFD98U3NMuIC99Mna2iWLxcrjfwtNGZmIOW/pvXnFamUWDpt/ 0zBR/ezBDzOHXJeqBaKxGA1oBQj0OiHYnhq1GOkQn9pss7a0N8UmQs8nBodSxciPsT6iS2Htr8ho tjhWDC+zBtUOg6ApGNarmcigslh8PX/5eXX4+8fjy5+3V19/PYIOSpg3vsVqHCCctNX3KGmSgajS E+q+zJIdJxvmcAdTaaF05U6+4+czaMni/OvFCs04nq9T+KB4M9jelMahzeBhNz8004nFYu3S9lvK UVBhEm+ova92Wwmq/c9HdHA63UbUKZ5H4LuFD0Z0ciKFzunHt9evRCYVzH9mfRRBiRDRnhpUE9ge F8a2YBKkZ5xVJgxAcNFOvgxzbLtuw5SDD1zueD28XoRe+f75DqM9j6uBBsr46p34+/Xn47er8vtV /NfTjz+uXnGh//L0ydgC6Zd8357PX4GMNuCEAFCwTgcZPn72Jpui+iney/nh86fzN186ElcMxbF6 P1qm35xf+I0vk7dYFe/Tf+dHXwYTTIE3vx6e0bewLxWJG2MWL7P4RKSPT6Cf/Xby7JJ09se3cWOK B5ViONf6R10/jNcczcp3dXozrHf659X+DIzfz2ZlOgjml9v+9qwskjRn5ksrk6lKa2VdrY9NxoXP ZMHDe8Fuyee6Bt8Q6shYwc1sQL/S4876iMlmf/ze7oHQkFt6lLHSHVUG6e+fn87fu2FFnWZp9j4K EVH5jmEn2GZhRtTu6N3e0s0P9g5h6IkOPLL4QjObHFa0yxFQO5NpuTrehz/LShboqnaSYy3Xm1Vo aIEdXeSRFaekI+OpphtSKIdZ23Ozx+mQ8+bOEX7g3mMnbBKqpztpzLRIVPvXtRW7ViVXcRLJcjDE g50HELrbJX1YXN8oT4PTu19A4gOvzEUQ1EUzblwXore+GWllPb/G+xNz/ZoUYbRPhY8Kt56bgzoV qTRCKkwmnupwuhK//vWqJoux5v1TMoDHmhnENufoKtGCt3HeXmM4LujhQKU0ZAzTdKenkIxqaYvh YFzKIoJ9yfPjOr/B3K3eU5U5ptlYJU/u1ZG1wbqAbYYw+8CCsOo2VMZpVkrQ0Ouk26F1fWK33JAE 5zI3kmtMhbGo2eCrnn3//HJ++mzOLTCf1qXnmqFnHyZBZpxKFLcwmMzSFUGPD1pEuhh4KWpN+URA DndXP18ePj19/zqVb2GOLvihn+61W4w/bNlTDBBUoyUfWwFH/5LTSgb6Tt3FtiszaoQaTIeU1XKb MluVVFtSeSBbkvi4YXNb7Y0prdNeqxrGWx/CwwcpBdjYJeOroHxfD4zCDRE5cAwvjeh7gYGPx+li YuQ7ZcPHl8cy8BjrKrZtzZO9tTB3tYTlMb1PO5xI3VW1wjiHcdlUmWmRqrKu071lF1DuaLoiJrts 0iJAa9muoaoujFtt+KHO7zHmS1EmqY3o+83JUmtAh4Z242+wXLg/Qi7hxIK3wW264ztqDVOX99Bw x9FrrHIh+OP58bflcGTgx1Aw+9UmsM5IOrKYL+jIywC7X4+0PHejPpixL506GKpTWRnrmeDmbg5/ 4UrknKOLjOdb+/ocSXpDhDGSiFqrZ5bwf2FFzQBBK5xHerDAtzcNS5KU9jLsaG/atcgTbAj0vG00 7y3LeMJkCr2GZx3CtCcBEscLMkuZCdqdtR3vSO2RSUntEwEPMYmteYWqvFJw6MWYaoqeR6RxU3N5 suqwmGa4+AcZLi5k6DzX/7hNjPN8/OVyQFb5Noa5xtzyphwaEBC7iQayelPq0Vg6FuV7gBfk0DGy 181NFuJrB5Kzbw2itI/6O4xm/vhm1h89WVoM/qBSKrlkkuOdKKWTH/u2NX7fNKVkNmmopE02X/3i 77LI8MxTxLVpX2EgdVoxXtuQIwZIgh1YWst2xyQzStzvhDtWyljTyI/fSt0nxGcXPBsy68Uv6LvH JGDjUWyDuDhks6HGySV4UzYUi5Jm5wt1WgZzPAjxRx2Gy5cesyhzZUvIzbuLHszuS6pa2T1tNIt9 w6irIlog0iOesrlzmabpO3WY9OmewpNffLd27RxDjuWBPl+fVGQma8K4Te2ZZyARk0sHbBsO62WB L2UKJps6NTtXFKXkOyPDxCVwTVCHCEZCNvCNlxU4jKgrCqSDqiHVGZ5aoXbWYYRiiKXRtBj6aScW liBqmistDZqG0o1cQgNk7OTAerPw8Okv8/5nJ/Q8bOasSWpAeDqx4zjAZFPua+bTZTSXf87qOcot inubQXb02T1yoeTQtx3dN+nvS/6EPcn75DZRi/a4Zo/qvSg3y+XM13ZNsptAfTl03vrsqBTvYRJ7 X0in3EFspLMi5ALS0HPW7cBtpE5SPTeg6XqF4b8X4YrCeYmnzrCJ//AfT6/n9Tra/Dn/D6PNDdZG 7igFsJDOUqEIzjBTtPrO3N962kCfGrw+/vp8vvpCtU3nM8jaoyPp2o19acN4eSzptVTh2EhoB8tl SSlXiic+8CypU2OquU7rwvx255hI5tXkJzVFasBZOmBbvUvauIYNpzEJ6D/jAO9PC6YtZggPF/oe Eaon05xc+FJ5V9bXJpfRe5n9oxcJWmaQoRe7FsSObHOLaRVSZhE2y8ow7rCQtXlk6CCBF7H8UDrY m5XRr449yZeUyY3D4q3XMryQMb0aO0zUOzOHZektfeNBNuZ7chuJrLjKTirKEMtmWWx83bpa2AjM xChq7dqTYG4FMnGhuQ2pW2q3qfsSfB3Y44H7xT1AnZebuOeLIl9+1JNiE1/R+W28H0Y/ULNYqPeh FkNky8h1yddtbVdE0RqblrO4hfWQFXZyJMcpKF6xW2mNgBbU1NQWbWCpS9jGmC85BuRU8ywzH5T0 yJ6lme0yc0DqNKX3jT0Hh9qygrJuGDiKhksqc/X5UNULaUHvvObiYLcRLrzjRzQFj61jqI7QFngN lvF79V5mMPn4v8qOZLttHPkrejnNwUnHjrP0IQeQhCS2uJmLFl/4ZJnt8MWW/bS8nszXTxUAkliK mswpcVUJxFIoVKEW6D4942JCOnGb3fnQnn65sSciQ0kbBP4NZtpdhW/pChWLOiV5XoBaBquG9Dlo 7UYbnmqHdj1JTZ4HDsnQgzqY11idinVPsQ43PsqEqoOYF8IvIQpM0ZE9ipbUpuZ4XQ0qUcAT6Apq 836abWpRX08EDuqxMDYZeX8MnfUFRQyrNOdRZlQfpNCgjJTz7+/+OD60+z/Ox+bw8vrYvJePTr3r LRCllg0jZ5rXISri7+8wrOLx9Z/91a/ty/bq+XX7+Nbur47bvxvoYPt41e5PzRMu/9XD29/vJEcs msO+eZ782B4emz1eXA+cocU9T9p9e2q3z+1/uhq8vRkUljgoMOqSVA8TEwj0ZopChV3ndbOto8Cr YZNAeyOL/HiHHu9777m2+b1Xq5D30j5g5fDr7fQqn0V/7R4IGwYpiWEoM5ZpN8UG+MaFcxaQQJe0 WPhhNtf5xEK4P5kzXWxoQJc0T2YUjCTsVT2n46M9YWOdX2SZS73Q73u7FvC2wiUF6QmnuduughvH skKNhnyaP62DsGBexGsnSI4m5+syZ5LY6c1sen3zLa4iB5FUEQ10Ryr+IZilKucgJoezQMHNIEMF 7OM0pUV1fnhud+9/Nr8mO8HcT1ji9pfD03nBnM8GLmNx3ydgJGEeFMzpHIisJb/5/FkUm5A+yvPp R7M/tbstPo3O96KX+GzhPy0+CHE8vu5agQq2p61uoXct+lTeXbcmep3S7gdzOMTYzccsjTbXWJ7E 5R7GZ2EBqznecMHvwiXxSw5NgzwzHmqQoUki1A3l+dGZe99zJ9Wfeu7kle4e8AlO5L5HdC3KqQRw hUzF5+yfZNCz8d+siU/DWb3Kmbuzk3k/3faoGKanlVXsMjKG3XRsMsenO0emzwge7iRgzHxiEtYX R7SULXWPRTTHk/ux3P90QywXgp1OrNdzI51Hgb2ILfiN5zQi4YW77rlfXn/EEjuOzCGlv8bZlhgL bp3G48BdkjgENhaRD9Qc5nFwcW8g3jSUB8TNZ8q2GfCf9Lrx3V6bs2sKCG255+Scfb4mztU5++Q2 EX9yCUtQQrzUPSfLWX79p9vwKpOfk4KpfftheFZ7ceJuFIDVZUhMEksqL6Q15Y4i9yljrWeidIUB ugTXSQSRNtTxGYs5GE50OlhPU5R0CJlGcGGNA+7y91T8S3DaYs7uGWVydavFooIRHNOJeKJJO53Z xecZmDEXvhnfElNXcupmv0OuUnJFFHxYkK7qdPd0r8NJoJRFrOROS+jIsWHfbinFaMy3M6DndFqE IrgvysA53PLt/vH1ZZKcXx6aw2TW7JuDZR70zF2EtZ9RimiQezMR9E5jRuS5xFmB+iSRT/rONQrn u3+FWFCFY4hbtnGwqGHWlBnQIWjNvMeOqvo9Bc6Svag9UhgVzqEHXxSubcueeW4fDluwnw6v51O7 J47QKPRIKYVwdSr1D464zK9RjU8xEsl9qT1dMkZCo3rd8XILg4pJoSkBhPDu0ARNGIvpX18iufT5 C2rlML5B+7w8YSOn3HzlbhK+VCXwQ0I9GbBSgXd2SI/HL368vSDMkLRPWnFRmGO99nlEsAmifR/O 14t7FXsSY/EUv56tqTATVmzimOMtj7gZKjeZdtugIbPKixRNUXkm2frzxz9rn8MopqGPsTl9YM7g HFr4xTcsHLJEPLYiaajbLyD92iUkjTT1VRhrtVVpZ7iaCmd4n5Rx6fpG17TomeXcl5u6OZww4B6s IvkUwbF92m9P50Mz2f1odj/b/ZOeSoY+nbrEmhzyig1v5wzHlYUvvr/TnDoKLw1fbcbGLtjSJGD5 xv4eTS2bBsmBj8wUJU3ceVV/Y9Ay3XJU1mFAszF2LwRtD9OxNM7oYpFBEUz8bFNP8zS2fPs6ScST EWzCS1UZTHPh5YF+LS2vM42Ili4SWpSmMALDOpQFBtsANhWcVLpQ86+/mBSu+QANlVVtXO+gBWOI BgD018kje1aQwDbj3oaueW6QjKkegoTlK0Zm4Uq8F5qd/XJr/Gn+pafkhp5rs/nfNFmwVge1Frmc BGk8MnhFA9pVH1sztIVQjFu14fcozOFgjgyX7r08jyyVDnQ5omWEUi2v7xGs915C6jVZ9l0hRTR5 Rv0sZF8o40JhWR4TvwFoOa9iOtxV0RQgFinLW6E9/y97TPJ2awi86Qdfz+713AcN4QHixt0y+h1+ t/X1WmXwhwgEL8UTILoDnBVF6oci7Q5GmTNNDQSmwb3IYxNk5wFj9yKWY6T5XCiTWuM5fBd/I9J9 kXaa5sOLb/0MIgZVvtEXMWaRHKL24TtdqESpZ/41OIk0f5MZhNDPXZnGobnZovu6ZMYNU5jfod5D ndZxFgKXG9txGmjfTUXtshmI/1x/OAgTHlL9DRP0LAQ8S/VnRUAkGLIQXT/JjPSAOaeC6fPoDk0B fTu0+9PPCdg0k8eX5vjk+sjks1Ti2azh6wqIlf8MrV69SQYqjXiXpb9Y/zpKcVeFvPx+20+hUiyc FrT3nrrnukZ5ZBN7KapDPM+BUvKXmpvR8fbmaPvcvD+1L+qoPQrSnYQftNkZeiOe4RqJseWJuHGP K/QnYoDjMFdT2H28XrE8+X798eZWX9cM9iJmm8RW3C8LRGuApHx6HPOg8G0g4B/9Ej7NYO1AzQdM FCaGUiD7XsjASoygiVnpa3acjRHdxXDWjbWzVywp1YiyVET1FfZIFdzY7OLzIAh8mAjOFuhaBYu5 opWi310bsTjCLm93HdcHzcP56Qm9ZeH+eDqcX1RlgyF6CAsUopaW3xFzqzqqjanyCqvOGALqBD1j oN7G9LWKJOophuaEvizb1Dbybw3C7CPGaukZ+xKKsVGdmazci31jus4IGw+UXywQqfssZRuItSWv iei43fGmiYbTVaKLCgEDnsBymGYRQhODUwrTMhYBbhFjQbzR9ZMxlYXdfwUmzgkTjy7bMZx4VHC0 ZQw6c/m+w+Z+JTbv/+o37g7YHH0Cx8jHrEXobfsiqryOVFtcARZxrY5YEA7uCsWx3vkC5FigkDwJ 3CwEo5FlbDe7jIXrQYXY2qjcI4DZDNTGmdNBmfAqXOq6XrLk+gAw8HcapSt3/g00pYr7QmFZMNyz zi2IBIs2YI5t5/2wu6w5ncs0Vel1QaJJ+vp2vJpEr7uf5zcp0ebb/ZMhnDLgfx+jBlIrhpzCYw5O xY0KI6EvGDStsPDIsJDptMSw8yqDzpXAOyntRZbIel7B/ipZQa316g5OADgfgnSmH7aXByhjc0CS P55FPTlNIFnMNnrQC6y6A9RhHT8PIRHEZ2x+wClacJ5ZVrk0tNGhOcjffx3f2j06OWFgL+dT8+8G /tOcdh8+fNDLPKVdFb+ZUNX6p+L0oNwlGfvfU4g2cDijOywvQb0o+Zq7G3ioUGLuG5p8tZIYEAnp SgTnOFsmXxV0ZK1Ei85aZwTCQJd121KI0cakMg6d4WO/xkkVt8t04R99BoG3MduhHjFwh6EPZ8Cg Tv8fa2+o8GVuZDYI3QlmB4szch7wQNne9jospCQfAYMaGHFWcFOI/JQawuP2tJ2garDDyyKj4oSY tNA93TIFtIUjtd8kSiR7hMZxJw+VOmAlw4ufvOqSVSxRMNJNs30/h8lJypBFfW43HJGUwqKvqlFp Bk5ULJkxttyIt36rY8xlQxC/G4L9h9oyRqfsCQSRKBXb3FFpDTqZGwRaFxrDxkLgTUnib8qU2iOi k2CeGtsbgSOSZip+QG6QRQUHKBWuqdYZzSiw1fsELL3ZdAr8eImejsKXacYEuZGVOp735QbDaZei ClY2xxPuVzxwfKzBsn1qNF+QPNzhDPfTpZpN844oBy0LTgTBIDipdo2qwXTg8QifFfjQkC5oJcDd 4R0ck5yNFF8JV5WTopC2KhSV/MvMqFEo90kEmyILgyntK1YESyJz6vWt2R/a4846u821Idfhv/W/ WdZOQgEA --===============3891319616367364158==--