From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============6910209582238030716==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [RFC] cpuidle : Add support for pseudo-cpuidle driver Date: Fri, 24 Jul 2020 11:41:42 +0800 Message-ID: <202007241103.8IPJT55n%lkp@intel.com> In-Reply-To: <20200723061339.9747-1-huntbag@linux.vnet.ibm.com> List-Id: --===============6910209582238030716== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Abhishek, [FYI, it's a private test report for your RFC patch.] [auto build test WARNING on pm/linux-next] [also build test WARNING on linux/master linus/master v5.8-rc6 next-2020072= 3] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Abhishek-Goel/cpuidle-Add-= support-for-pseudo-cpuidle-driver/20200723-141912 base: https://git.kernel.org/pub/scm/linux/kernel/git/rafael/linux-pm.git= linux-next config: x86_64-randconfig-a014-20200723 (attached as .config) compiler: clang version 12.0.0 (https://github.com/llvm/llvm-project e0ee22= 88424952e0445f096ae7800472eac11249) reproduce (this is a W=3D1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install x86_64 cross compiling tool for clang build # apt-get install binutils-x86-64-linux-gnu # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dclang make.cross ARCH= =3Dx86_64 = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): >> drivers/cpuidle/cpuidle-test.c:118:5: warning: no previous prototype for= function 'cpuidle_cpu_online' [-Wmissing-prototypes] int cpuidle_cpu_online(unsigned int cpu) ^ drivers/cpuidle/cpuidle-test.c:118:1: note: declare 'static' if the func= tion is not intended to be used outside of this translation unit int cpuidle_cpu_online(unsigned int cpu) ^ static = >> drivers/cpuidle/cpuidle-test.c:134:5: warning: no previous prototype for= function 'cpuidle_cpu_dead' [-Wmissing-prototypes] int cpuidle_cpu_dead(unsigned int cpu) ^ drivers/cpuidle/cpuidle-test.c:134:1: note: declare 'static' if the func= tion is not intended to be used outside of this translation unit int cpuidle_cpu_dead(unsigned int cpu) ^ static = >> drivers/cpuidle/cpuidle-test.c:145:5: warning: no previous prototype for= function 'cpuidle_driver_init' [-Wmissing-prototypes] int cpuidle_driver_init(void) ^ drivers/cpuidle/cpuidle-test.c:145:1: note: declare 'static' if the func= tion is not intended to be used outside of this translation unit int cpuidle_driver_init(void) ^ static = >> drivers/cpuidle/cpuidle-test.c:166:5: warning: no previous prototype for= function 'add_cpuidle_states' [-Wmissing-prototypes] int add_cpuidle_states(void) ^ drivers/cpuidle/cpuidle-test.c:166:1: note: declare 'static' if the func= tion is not intended to be used outside of this translation unit int add_cpuidle_states(void) ^ static = >> drivers/cpuidle/cpuidle-test.c:223:6: warning: no previous prototype for= function 'test_cpuidle_uninit' [-Wmissing-prototypes] void test_cpuidle_uninit(void) ^ drivers/cpuidle/cpuidle-test.c:223:1: note: declare 'static' if the func= tion is not intended to be used outside of this translation unit void test_cpuidle_uninit(void) ^ static = >> drivers/cpuidle/cpuidle-test.c:233:12: warning: no previous prototype fo= r function 'test_cpuidle_init' [-Wmissing-prototypes] int __init test_cpuidle_init(void) ^ drivers/cpuidle/cpuidle-test.c:233:1: note: declare 'static' if the func= tion is not intended to be used outside of this translation unit int __init test_cpuidle_init(void) ^ static = >> drivers/cpuidle/cpuidle-test.c:266:13: warning: no previous prototype fo= r function 'test_cpuidle_exit' [-Wmissing-prototypes] void __exit test_cpuidle_exit(void) ^ drivers/cpuidle/cpuidle-test.c:266:1: note: declare 'static' if the func= tion is not intended to be used outside of this translation unit void __exit test_cpuidle_exit(void) ^ static = 7 warnings generated. vim +/cpuidle_cpu_online +118 drivers/cpuidle/cpuidle-test.c 117 = > 118 int cpuidle_cpu_online(unsigned int cpu) 119 { 120 struct cpuidle_device *dev; 121 = 122 dev =3D per_cpu_ptr(test_cpuidle_devices, cpu); 123 if (!dev->registered) { 124 dev->cpu =3D cpu; 125 if (cpuidle_register_device(dev)) { 126 pr_notice("cpuidle_register_device %d failed!\n", cpu); 127 return -EIO; 128 } 129 } 130 = 131 return 0; 132 } 133 = > 134 int cpuidle_cpu_dead(unsigned int cpu) 135 { 136 struct cpuidle_device *dev; 137 = 138 dev =3D per_cpu_ptr(test_cpuidle_devices, cpu); 139 if (dev->registered) 140 cpuidle_unregister_device(dev); 141 = 142 return 0; 143 } 144 = > 145 int cpuidle_driver_init(void) 146 { 147 int idle_state; 148 struct cpuidle_driver *drv =3D &test_cpuidle_driver; 149 = 150 drv->state_count =3D 0; 151 = 152 for (idle_state =3D 0; idle_state < nr_states; ++idle_state) { 153 /* Is the state not enabled? */ 154 if (cpuidle_state_table[idle_state].enter =3D=3D NULL) 155 continue; 156 = 157 drv->states[drv->state_count] =3D /* structure copy */ 158 cpuidle_state_table[idle_state]; 159 = 160 drv->state_count +=3D 1; 161 } 162 = 163 return 0; 164 } 165 = > 166 int add_cpuidle_states(void) 167 { 168 /* Parse the module param and initialize the idle states here 169 * in cpuidle_state_table. 170 */ 171 char *this_param; 172 char *input_name =3D name; 173 char *input_res =3D residency_us; 174 char *input_lat =3D latency_us; 175 int index =3D 1; 176 long temp; 177 int rc; 178 = 179 switch (sim_type) { 180 case 1: 181 cpuidle_state_table =3D cpuidle_states_ppc; 182 return 0; 183 case 2: 184 cpuidle_state_table =3D cpuidle_states_intel; 185 return 0; 186 case 3: 187 break; 188 default: 189 pr_warn("Sim value out of bound\n"); 190 break; 191 } 192 = 193 if (strnlen(input_name, MAX_PARAM_LENGTH)) { 194 while ((this_param =3D strsep(&input_name, ",")) && index <=3D nr_= states) { 195 strcpy(cpuidle_states[index].name, this_param); 196 cpuidle_states[index].enter =3D idle_loop; 197 index++; 198 } 199 } 200 = 201 if (strnlen(input_res, MAX_PARAM_LENGTH)) { 202 index =3D 1; 203 while ((this_param =3D strsep(&input_res, ",")) && index <=3D nr_s= tates) { 204 rc =3D kstrtol(this_param, 10, &temp); 205 cpuidle_states[index].target_residency =3D temp; 206 index++; 207 } 208 } 209 = 210 if (strnlen(input_lat, MAX_PARAM_LENGTH)) { 211 index =3D 1; 212 while ((this_param =3D strsep(&input_lat, ",")) && index <=3D nr_s= tates) { 213 rc =3D kstrtol(this_param, 10, &temp); 214 cpuidle_states[index].exit_latency =3D temp; 215 index++; 216 } 217 } 218 = 219 cpuidle_state_table =3D cpuidle_states; 220 return nr_states; 221 } 222 = > 223 void test_cpuidle_uninit(void) 224 { 225 if (test_hp_idlestate) 226 cpuhp_remove_state(test_hp_idlestate); 227 cpuidle_unregister_driver(&test_cpuidle_driver); 228 = 229 free_percpu(test_cpuidle_devices); 230 test_cpuidle_devices =3D NULL; 231 } 232 = > 233 int __init test_cpuidle_init(void) 234 { 235 int retval; 236 = 237 add_cpuidle_states(); 238 cpuidle_driver_init(); 239 retval =3D cpuidle_register(&test_cpuidle_driver, NULL); 240 if (retval) { 241 printk(KERN_DEBUG "Registration of test driver failed.\n"); 242 return retval; 243 } 244 = 245 test_cpuidle_devices =3D alloc_percpu(struct cpuidle_device); 246 if (test_cpuidle_devices =3D=3D NULL) { 247 cpuidle_unregister_driver(&test_cpuidle_driver); 248 return -ENOMEM; 249 } 250 = 251 retval =3D cpuhp_setup_state_nocalls(CPUHP_AP_ONLINE_DYN, 252 "cpuidle/powernv:online", 253 cpuidle_cpu_online, 254 cpuidle_cpu_dead); 255 = 256 if (retval < 0) { 257 test_cpuidle_uninit(); 258 } else { 259 test_hp_idlestate =3D retval; 260 retval =3D 0; 261 } 262 = 263 return retval; 264 } 265 = > 266 void __exit test_cpuidle_exit(void) 267 { 268 test_cpuidle_uninit(); 269 } 270 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============6910209582238030716== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICKk/Gl8AAy5jb25maWcAlDxLe9u2svv+Cn3tpl00tR3HTe/9vABJUEJFEiwAyrI3+FxbTn2P Hzmy3ZP8+zsDgCQAgkpPFkk0M3jPGwP+8N0PC/L2+vx4/Xp/c/3w8HXxafe021+/7m4Xd/cPu/9d FHzRcLWgBVPvgLi6f3r78suXj2f67HTx4d3Hd0c/728+LNa7/dPuYZE/P93df3qD9vfPT9/98F3O m5ItdZ7rDRWS8UYrulXn3988XD99Wvy9278A3eL45N3Ru6PFj5/uX//nl1/g78f7/f55/8vDw9+P +vP++f92N6+L49uj33Y3d+/Pjn/9cPfrb8dHd3e729uz29Pffr05+vXPDze/nt6cnNz9+dP3/ajL cdjzox5YFVMY0DGp84o0y/OvHiEAq6oYQYZiaH58cgR/vD5y0uiKNWuvwQjUUhHF8gC3IlITWesl V3wWoXmn2k4l8ayBrumIYuIPfcGFN4OsY1WhWE21IllFteTC60qtBCWwzqbk8BeQSGwK5/bDYmnY 4GHxsnt9+zyeJGuY0rTZaCJgi1jN1Pn7EyDv58brlsEwikq1uH9ZPD2/Yg/DnvKcVP3+ff99CqxJ 52+Gmb+WpFIe/YpsqF5T0dBKL69YO5L7mAwwJ2lUdVWTNGZ7NdeCzyFOATFsgDcrf/0x3swtsUHh /OJW26tDfcIUD6NPEwMWtCRdpcy5ejvcg1dcqobU9Pz7H5+en3YgW0O38lJuWJsnh2y5ZFtd/9HR jiYGvSAqX2mD9dhacCl1TWsuLjVRiuSrEdlJWrFs/E06UEfRgRABnRoETA0YqorIR6hhcJCVxcvb ny9fX153jyODL2lDBcuNKLWCZ94MfZRc8Ys0hpYlzRXDCZWlrq1IRXQtbQrWGHlNd1KzpQB1AVKS RLPmdxzDR6+IKAAltbzQgkoYIN00X/nygpCC14Q1IUyyOkWkV4wK3OfLaee1ZOn1OERyHIPjdd3N bANRAhgJTg00hOIiTYXLFRuzXbrmRaQPSy5yWjhVx3wNL1siJJ0/hIJm3bKURhB3T7eL57uIaUa7 wPO15B0MZHm74N4whi99EiNrX1ONN6RiBVFUV0QqnV/mVYL9jDbfTHi8R5v+6IY2Sh5E6kxwUuQw 0GGyGo6dFL93SbqaS921OOVerNT9I1j1lGSB9Vtr3lAQHa+rhuvVFdqN2nDzoEIA2MIYvGBpFWPb saJKKRiLLDt/f+Af9D20EiRfB3wQYyzL+JMx/SXGWbHlCtnPnIkIOGWyD552FJTWrYJem9Tke/SG V12jiLj0Z+KQB5rlHFr1p5G33S/q+uVfi1eYzuIapvbyev36sri+uXl+e3q9f/o0ns+GCWjddprk po9gjxJI5IJQ1Axnplob/SzzFcgh2URqz4LVioqaVLgKKTsR7H4mC1TFOWCwd5XkB/Rd0MWSaYMk WQh3p/QP9mfgElg8k7zq1bLZX5F3C5lgdTgLDbhxlfBD0y1wtMf6MqAwbSIQrsk0dQKXQE1AXUFT cGTuxJxgy6pqFD8P01A4FkmXeVYxX/YRV5IGvNLzs9MpUFeUlOfHZ+PeW5xUs1JkRuN5hlvsn3s0 cW181TpLHmR4EKH3mLHmxNs6trb/mUIMl/kzYOsVjAmSnfRlsf8SPAFWqvOTIx+OvFKTrYc/Phnl lDUKwgFS0qiP4/eBvHSNdD67kRCjk3u+kzd/7W7fHnb7xd3u+vVtv3sZma+DMKVue2c+BGYd6HVQ 6lZJfBj3L9FhYL9k17YQOkjddDXRGYFIKA9E3FBdkEYBUpkJd01NYBpVpsuqk54z5wIY2Ibjk49R D8M4A3ZUwsHIiRPJl4J3rWf1WrKkdqnUcx3AxcyX0U+9hn+8GZqe7MaP0JIwoZOYvARzSprighVq 5c8ZlKbXIKmavOOytLMr0y0rpN+7A4uiJsmuHb4EzXJFRarfFhxr309AAcBhHCYxWEE3LE+ZLYeH hqijEy1B+ZXz7bK2nOy/ccA8fQkCMKCICiIkDFLAnwMbkRpiRfN1y4Gl0FiDH+l5Vc4qQdBpOvb7 BBcLzrWgYJPA+5w5PkErcpkYM6vWuFfG2RMeq5jfpIaOrc/nBV2iiKJZAERBLEDC2BUAJmQd51PE gaCPOPUia87RWQg1IYgmb8GMsyuKXpA5Mw6GuQn9oZhMwn8SQ6KPqjwXzKo1VhyfeftvaMA25rQ1 HrzR91GbNpftGmYDxhen4y3C55rYvkYj1RDQMuBqTxXIJVUYoenRm45O3yESiytXIPBVsC027LW+ YNJDQ83vC5uxBE3N/HyHdxq0KuGEQmco2ookT2YEwhr0flPT7sDX9XQa/gSJ9wZtue82S7ZsSFV6 HGzW5wNMoOAD5CrQpoTxwKhy3Ym0BifFhsHU3aZ7egn6y4gQzD+8NZJc1nIK0UFgNEIzcN9gvcjV 1tWIKczGoURj/B5wmZ7mFAaD1ydLkOx3Fqg+ZDeDLIvUcrELNIXj8mCcJp8cOoSpfyRPGtrRoqCp zq3gwPA6DgYNEGamN7WJrEP2Oj4K8kTG3XDZ3Xa3v3veP14/3ewW9O/dEzjKBNyHHF1lCHZGFyQ5 rNHm6cGdE/IPhxlnu6ntKL2RTzv/suoyO/o82noBVuZ5k7amvG4JnLJYz3RDspQOhN4DtVLxbLY9 TEOAy+IYKtkbEKE9R59cC9BAvA579/GYE4LAIW245KorS/AujZM0ZFhmVmA82pYIxUigJMFfKFmV FmajyI3VDQLjMLHcE5+dZn5SZGvuF4LfvgmVSnQm/wVblfPC1wo2W66N1VLn3+8e7s5Of/7y8ezn s1M/37wGs947m57iUiRf24BjgguSVEZya/RvRYMBhs2TnJ98PERAtpgrTxL0vNV3NNNPQAbdQZjl 6PqMTGA/POCg1bQ5EZusiMhAv7FMYPqpQKcmWi3qKeQC7GibwhHwpPCqgxp3IEEBnAID63YJXBMn b8HZtC6iTTJAqOeliDAS7VFG40FXAhNkq86/bQnoDFsnyex8WEZFY3OGYLYly6p4yrKTmKedQxvV b7aOVHrVgSdReQnqKw77AH75e895M1lo03gu6HEqEqbe68ZAHrSs27mmnUlWe6dagitCiaguc0yL +va4Xdq4sgLdCUZ2COJdXCYJHiFKAp4TzW3e1diBdv98s3t5ed4vXr9+tvkSL/4ctEK/+JQy8VeA qyopUZ2g1oH3VQsityekDfN/HrJuTf7W42NeFSWTYQBGFfgzLEy0BWNYngYnVFSzNHSrgBOQuxJu l0eHklXpqpWTlZB6bDwfQzEuS11nnjfWQ+JYCPsczt5dmkB8WkWpMxvd8Br4roSoY5D+lL9wCaID 7he488uO+hkf2GaC+b9A8TvYAbs6kMiWNSbJnd5f2iRmswbTHk3D5tHbDnO+wKiVco7qOOBmdXgi UX4y5aL3pH22Zejkd9jcFUfHxUwrORDJRXMAXa8/puGtTOe4a/QDT9IoMNYpLhx0ue/f9qwpGrCV TlHblNOZT1Idz+OUjLRRXrfbfLWMjDTeCGxCCJgzVne1kbOS1Ky69PKGSGA4CGLAWnpmnIHmNLpB BxEk0m/q7bzWcHlijElpRfOUD4UTAdGxwuqFvg4MkjoFri6Xfn60B+fge5JOTBFXK8K3/mXXqqWW /0QEoxCWoskVytvgwg8Jl+B2DZdkHgNsQZem7j6M/ZPoHIIFzOgS/ZI0Ei8JPx7/NsE6/9M7J4fx IFazyNr3ngyozqcQDHV5eIrmzl+jeo/4lPfAQH8KKjiGbphtyARf08YmMPDKc84+hDkLB8KUa0WX JL+c1fa1uaMD5pjvOOSSHoh3jHLFqwTK3tgOdtSLcB6fn+5fn/fBVYwXPzmb0jWTRMCERpA2bcKm pDlelSQvnzxSY7P4hWHZwX2fmbq/3uOziS9PZQv+SKws+ktMJwTBfbblhbbCv6if8mEfPV+uZjkI fHDnO4AGAR9lZkDB0hKLH/Ecq39QY5ZBMsqcpq+mnAPBipjTPhjnaoaBCiaAGfQyQ09v4irkLbHF QlKxPG0z8WTA6IMA5+IyeRuIyXK/Y2yBsJkZgW9J8pb1zbxO8Gw8CGyOjO2DdUSNM2YnRRLO9IDu lUuEN9q692TwFj9OtThUVJPBKhTmqvdr8Aa9o+dHX25317dH3p/gwDAdDEEUx3sQIbp2ynmoW9AX qPthR0LbPCS3FQh4n3OBKnJkOCVE+gBxRTZ8n1VDEqK+mePqaha50Vasxz1Stj5Er+nlhMEsrZJb s8+al6m0fIqw+UZPmEVPdEVL5jeEn8Df3UwWhOYY5CZxqyt9fHSUcl2v9MmHI38MgLwPSaNe0t2c Qzeh7VoJLFvwUoV0S/PoJwa2qXjXIttOLDGzElzjW5Rkac85F0SudNEl7Xu7upQMbSfoCPDJj74c Ow73ryQwmYNSeKg9RPvLBtqfBAKyAsavumV8FzsKhEeQ2kQbwvpEfjcugbEpZLpWzVrm2DCklhFT bnlTBVscE8TVFuOc6sJkLWCJKYUNnM3KS10VapoDNqmLim1oi3eegZk8EClPGIUUhe5NgY+zmrSX aren36IR8D8/eY0hi014W31uYgBWpLuRbQWhYouGX7kIKEGlVm1QoWZ9muf/7PYLcAyuP+0ed0+v Zs1oVBbPn7Ea2EsPu8yK5ye6VIu7qQwiWIeSa9aa5HiKpWstK0o9ldhDXL5h9IRqo6QMLu0q1fqC rOkkXB3QwRh9UB70X2zwuqw4FBnXpkC2X9uBFU1HKMwMbY3ZbOe2ZELN7FVeBZHtxR/Wy8PKRZYz Ot5opHQ5hJfLtIEe0hF46B5u8qsXTaOhJBhNvu7ivBaw10q5uk5s0hZ51AkIowJ3wk7duLNymrQ1 lGYPl37kFYB1eCdoO29zYecXT71lcfc963lpAIAKutEgh0Kwgg4pxJmsAZCDNXDlhql7IqQg8QZk RIHHczkZOeuU4qmcisEq1ly6TbOEUa8TvLsBPH//MaDbwLp41LYkk95IEe96qFUQZDIDggIbShmh xnDeRiyzaFZMjipv21yHVcNBmwjO2jrm0xlbGA1NlktBl/HlSUjtytvmDiXvpOKgTiQYGeNMjEUB o5Gw+4n6t2tB9xbxeg/hJmrEriFH7uUpObfT4o0iYBrFpGW/M9bszLXvqRgP43wrNll82EFJjb8v NVUrHuOyZZiRdFJXdKh78ebrggj0WavZ6YXBjp0CXhqF5t0KX0vZHNxd4IcTQUSSHYpWlVa+ksqZ YWUFsBMLne1sq/RFHuKThS6gu7FCeNJTdKzw/9LbfvTl0W64/NRofMtgEX1J6aLc7/79tnu6+bp4 ubl+CFIXvTCHOTEj3ku+wcJ+TM2pGXRciDggUfoDR7JH9Jfv2NqrVkl7eslGeBYSTnQmVThpgObC lBp9cz68KSjMJn3/mmwBOFfLvvkvlmBClU6xlH4JtneunCeg+Sf7Ee9DCt+vfvaox6XOkAzrOh/L mRd3Me8tbvf3fwflB2No2vZWIwhb29wkyHGc2ei7t0wxkUcCzhstwAmxeWDBGj4Z6NReJIC7NJGj l7+u97tbzzn2i5ITEjZsALt92IXyFhq/HmK2sILYgooZZE2bbgalKI85ZMD1dy/JohOL6u9pxt6N w9tDH8PFmhV5BULm6OLS/jG0+magYbYqe3vpAYsfwdItdq83737ycqxg/GwiznPpAVbX9oeXUTQQ vLw4PlqFxHmTnRzBtvzRMf/VHZMEvKcg8YKgAsIvsIQpe4TpuSxUyFiMkvkx5cyK7Grvn673Xxf0 8e3hOoq2zFXKTIZ1699Pu+B8CpqQYBa+w5whphCAi1QwzclUzAzL+/3jf4DlF0UsrrQI0qfwM85J DbiSidrYdXA8ovTYaGFrxlIxFcBtgc+4HAPCF5o1yVeYA2jA38X8VAlhfkZ8T7W80Hm5jDvwoX0i YcQuOV9WdJj0BCGDax4LwzS/udmIog+HxjolUJz8IMpesJggy9/Yfjp4EZx1ZYmVEm605EZO+/0n 5Jt2qutgSxc/0i+vu6eX+z8fdiMvMKzouru+2f20kG+fPz/vXz22gHPYEL9QBSFU+vFdT4OKPijr jRCDuSxADrOwahNJBd4I17DWGZ6yPLFO8V2ilwtB2pbGM8eNqzg+JzCOteBViM9JKzssyzA08Qxn XtSaYXN2ErMLwt1araZz1wFORv+bAwl23xWUxLNzjrrEAAaj3opcygkXqN2n/fXirh/Kmm3f8M0Q 9OiJBgn88fXGy83gHX4H2umq13lj5nWTzrhjwQE4PiJZAofh12b74dgv5sFrEHKsGxbDTj6cxVDV kk4OT+T6Crjr/c1f96+7G8wK/ny7+wzLRHM2SZfZdHAe8LdNIIewPtwKLmXN3nBbp+fR9hAMXqZ+ /9oWEyU36veubsGtyJK3W5MqJDP8mFjqGmMysOI+x/A5yvpgrhLf7CjW6ExekPhlN4P1Yi1cooBs nRx5jfU/KQRv03DXDTivukxVopddYy9WDKukH+JuaFjTPb5ONj2uOF9HSHQMUCewZce7RGWehC03 7pd9xRrtmqmt40Jhmto9KpgSQMzlovUZpLuUrCebbmduvxRgCy/1xYopGj4LG2ripC4uG4Lhp3nS YlvEXcoaU4juyX98BhC0grxhzheL0BynoOMU00k/zAyPBz9PMNtwdaEzWI59EhLharYF7hzR0kwn IsLQB0vLOtGAywAbHxSmx5XXCW7A/AQGBuaRi62xMy1SnSTG74uohdsivCpKndooq4exiZr3uu70 kmDeyiWWMDefROPTvBSJ4y4rDfa9mysaiifjVIJjLrwJiShcO1s0MoMreDdTpOmcVtbm2r747r9A kaDFi/+RPrVr7obSVbMmKfBMKmCgCDmpqez1u6u7DNDmvirIxQTouYJ/uxKmwJt1vGHcvZiBUNmk H0Mb9Ddf+1pt/M0nv3gThbdJM7qwwaoANAtYPps49lk63XbJPhGPDwvi2wRztAaJV1tgo0VyKMlL owfV5WQdRV/GQHOQdo8xANXhLQaaLnyvg5KU0LAGZe77g9roceygVjy2n1um0qo/bDWWnyf69WrH 5zrxSRJdObQhx5cyU6ZqL3tDoaoYa7nRfeEgkD4XLYeKGgVRsqW7Ins/CUEdnkTWd4hhM2br7VJ7 jRxi5+ML2Ag99FQHlBQDJeU+qiIuvFL4A6i4ueWaZPMUapx6C/wF4by74g+N5+BCgZ1P+UlocPz3 MnFT9xKpryoa3NWcb37+8/pld7v4l32g83n/fHfv0r5j+Adkbu2H9s+Q9c5n/+SufxpyYKRgK/DL Tujqsib5tOQbjnXfFei4Gp+/+YxsXoBJfJp0fhyJuM8r7pDMhyJMwJYu0rVUXXOIoneCDvUgRT58 HqlK1/j1lDMlJQ6N4oFfWDhEg08PLsAPkhLV/vCwVrPaXO+mvP4GuA7E8bLOePBqz+lG82mD4Zp3 vNRAhkwWYbvXvUMA1RyPv7rGfvXKlJWbvZ2UKYw30RCUgiMqau9bPebIbWPYTn7R+EZcXEgQgBmk kZ8Z3CB75qtGxVjzPpLMY+LG4iLddAIfpArzVjbubls8NVIUeMw6ys+Paqh/ZagzWuI/6EyG387x aG0BjctqeMmvoVrDJnm+7G7eXq8xnYBfjluYMtFXL47NWFPWCk3hRF+nUPAjjG/NfNHVHbI5aFXd Fxo8EbZ9yVywVk3AwNd52KVznsfcyMw6zCLr3ePz/uuiHrPP0+qWQ6WMYx1kTZqOpDAjyDxoMs+W W4zUsfYydkz6gj/84pNKDQNeHtgCmkJtbDJrLNgcfc2YZs7dNN/1WPrVG6bGaI2lK9ASPyznSZ6d rP8RFb8vzI/hkOZrdE1Y0ztTARXC3bQDPR0S9HzDm/hJ0IQ+LqNylVGmKsrWwp9GjTJUnP6qHMDy eMpPiWDGsxUUVVfgSic+BpabZIGOXolhaZ8Rfa3iB5X/z9m1NTeO6+i/4joPWzMPs+N7nK3qB1qi bbV1iyjbSr+oMonPmdSkO11J+szZf78AqQtBgXbXPvRMDIAX8QqCwEcT/5I1txINca+swda2jR4S BvQpLD7Nx7eOn6836Ii2BhOMtDvBiVpBgxirCR8yyp0JuhzYs4CIT4618ZJ0YmLMWcMF+rVRq1MA x7hUB8VYNOpZDT8vuHp1XNaxB7kY66g+3ZAxa51EmFRf8sy2HX9Z24ehL7MNCUD4ohJnlLSULg4w MZsGI9HcurcaXmON0kbg1hZHBpAsCnqOd7DOtA1L04cHz26/yXUAKj3FmeC1o3NwbvdNZYC4IEm9 icWW2yDzxhG6nSnGIVIDRtmduUUkEtB/d4koONVEn23Qp0SPFbwG27ClldIcFQXRb/2bR7/i29Bo EnEZt4Wxk+rtJz1//P369hfeeg/2HVhP9pKE7eFvGEXCamXQnir6CzZKEkKuaZiIHc9wruOvzDdF opUIlotfAh3ApwxzjewiWdUySikKTZSbDRFx69jsQKDzwNQhQ5ypBITy1IZB1L/rcBfkTmFI1r7P vsJQoBAFz9c9mHugQA1zqy+nkkPFBXFoibo8pKl0sElwV8n2kcdGbxIeS94FCbmb7HCJ1xfLF4Dd Ugs+3FLz4MzgZ0a56+Nvc7vPtYl0FBu5IG/JNPtDmPsHsJYoxOmKBHKhX2Apy/hhi6XDn9tutHEb UCsTHNa2zajdalv+p388/vjj+fEfNPckXDinuW7UHZd0mB6XzVhHTZC/OddCBrQH44rq0HMixa9f Xura5cW+XTKdS+uQRPnSz41iHspKM50BbbNUVA6aBGj1suA6RrPTEI4CWtEs73M5SG2G4YXvaPVy 48Z8QVB3jZ+v5HZZx6dr5Wkx2Jf4UGEzBvL4ckZJDgPLN+8ROBqt256tD2dFXuYIgq1UtLkn+5RO C+qnNrnBrppQhQIkOnO5XWSDCMFNIWNaen07454H57CP85sPXbzPqN8tByz4S2Nzf/WyEI3PYiP0 UppqPYVQNb6fcVP8an2MYUBWoLpwrWdlp32HN0TvIGx9JcNthkRqU+Z8beuoCJyq9TyooA58S6/m ryIn/9JqQ6YT21bcxgdZs9o9ZJKCPvmV/h58CNLMJ1CaWyGkJULdHWTj8Gx/8XBSDipcGZlPX81Y q/SR/330+Pr1j+dv56fR11cERHznxlmFJRd7N+nHw9u/zh++FKUotjCH6CizBUzjME3bJ04Rr4yN +uaEN6asizmCwq4vfn8yT6vB+Y9o5GCdSdSgbb8+fDz+eaFJERYcj516QebzN0Lc1BxKGedP29nw 0npC1DolverlcejZEuX/8xPL1AY3/kLoxXruzFCjAWsOvz7DkIZlo7q/KBIirIHDpwsUaKqD1ayp Tk8sJJ7PHTp8ObCivJs1hN4s7w61G2M6+N1hOsOdpOiHGa+9p4isnm4bV1JCB92OdRu91EdNJ/57 eakb+e7idRnSXV6RpruWfHf1vbDkumxpt+fS1zdL01Q4GzCNMZYOBIa9t7zYfUtfBywv98ClBman ydK7ka2LKNzyWtU6N9/jm8Bh4FGCcN4HnqNeEfIqXum8gdCQRUkO1fATFKeIW7mRFQt614+0JM94 VRiZ62K6XPHLQDz1fMGwxRqG8dHAQ48SjoKGJDazI1S5Xo2nE845PpSBc2w3FP+BPI4J4gf85F7H EKWI9/Yx6liLHFTwhtwb3bKctSXkYeic74GA150er89quuCbWOQc1F++y5zPXsbZKRdcpE4kpcTm W1iQGD2tTuPmD41pGqGLtX1XYEmalcgyv4qgy5f0pB+BOAz4WPwwRecnleHTLPyIgqEo0FB8ZNlZ LtOjOkWw+PBjyG/2aZVJeuxP8pjq9ppSbxWJVdA0HGkOxBNpjVTtuJmg3BNKbervKPVEIp7hdoWK B6/63xWlZbPEX7WyXWI0BQ5tbslpoLjjbmEjXBcbDYlvm0uqnMOI1qe3IuLgGSwJc7YLaRsXiGOu MCjUDn1f3xGLVIN96luP0SYsRWL8r7gFQNud8N7ZvClEzZ2jj/P7h+NuoD9oX24lD9ap164iy2s4 p0WD0MxmQxpk7zBsM2u/WCaglmg0IxP2/vD41/ljVDw8Pb+iu8LH6+Pri6XhClhELAsx/KpDkQhE 6jxKp8sLDxpIkSmybuuCRfXfsDx9az7h6fzv58fzMBQq2UcUjG6Z8w4u6/xOojuffX11H6BPNwzs TViRzu45u5AzXDYC0Nt9dvcisW3hF6tvDV929Vzb97oIySpDMnGBVmzwkM6mrdepjRXQEBCmyvXp a1noR5PVQxMG8HdR6NlugcctbWt8IoEUEctQEUKiNvqZNFoSc41ks5WMN26QgAkNevlx/nh9/fjT O0gg9V0gSBV2QbQuVWijdhnqQRQlR8PRAOsfy9rN3UZrGGm2j3j9whJaBx57oyUjyt2MHdW9CFm8 evLsFDmvjfS8AQgYJ1SUnL+TJWCalq31dllV1/JPiqO/gCP8o0MHpJ3SkFRjV/K5JOV+0M9Aa/q5 j+ryjSJLMQXVvyo8T4IBcx9w8xHbP5Z0kQo2W1RiJkODYMv4dj4/vY8+Xkd/nKGGaF14QkeNUaP+ TKwVsKGgNQAv53b6ZQ4NUWth5pwioHK77WYf2SPH/G6nbL9CG3KU5gfOktKwt7ndzrhF3ebub31T TwHTG8aFS2YR8Ub/QOY7hEBgD5jWhQT8AFVrG5UU3RnJaeC5RALeLhiGh6fnh7fR5vn8goDdX7/+ +Pb8qM93o18gxa/N4LEtQJBPWWxubm/GglaIvEGGhDxdzGZu/TSxjqbcIazlT2u6auncy9vFbmOP 8J+seV98rgTomuz7U2gb2JBlhbPLt3o2RsZSHwNQyaDzDAR+lwW6VGQ+XRw27zLL4lZz9h3zZA9S r7srNJN5EJNphCNl9cnwF5wC16hVJsTYrzkYc8YlMHFZoNHYjqmalTJu6rm9urk/mgflFCFq7xni 5NL6/mAKFLBbFH8LHokBOSpPBtIqTzh4nKEQG0fvEUOvGm/QfS9Kovctbp0ng8+q85JXJjVzfeIL wgf5aCP7Xu9Dno56Vk7Jl3CPAkToMK4lDZSUCxlHZF2UOIuljxSHNa2PKOlg0B6buLcM3jlBZmQj 1eo8C+fbc0EOQzpHJ5imH1x2M9hjTkemc19oCwW5Z5m1hdSO7q3m/AEJH1+/fby9vuDrTQPd7qiP ms1cf3/+17cTRlBiKm0MH0Td6uERnpwBFp70U6BDKgHdamiIc81TPZloFsVQ0kNPKvcphmapvvQl xk3z9Q9oh+cXZJ/dL+39cfxSRtt4eDojzqlm942Mr/oN8rou2+EX8D3W9ab89vT99fkb7RPE6m3D 1UgjtfQO1cUzYSTMmNLgaZOadKV15b///fzx+OfFQaVH46mxjZQycDP1Z2FXPhDs5Xwh8ogopA2h LlV0M50M6foeHy+e8U262dhlNytNUdVlVWvfRaK5tZkg1Gm69SHFd2Lu4jYo7JBgEAFFMG656FfG nWdbvvawrwNzjjIPDD58f34C1V2ZFh30hNU2i5tq2DZBruqKoaP8csXWEVJsZcrDjrdCRaWFZuzs 9NS5j31+fmwUjlFmoZ80RRxMhMpOxjm7M0PjlElOr89bWp1gXAtbc9D+01DEPhDIvDDFdgAT+unA wWrbhaC/vMJ8f+v7YXPq4/ZdkvZ4DPGhP0vlqcpC9MgQPd5Xn0rHd5pmIFogJ9ABVjAN1idooz+c 7LTuyfak+7ndmc08e3Sk/vPtSU/Hj9hc3rqsgULDIvJptI2APBYe7xojoIFlTDa1cdrmVsCkvstU vT/g8+UleVYA36oiXtf91Q7mLHSoRJO/Dg5nsjf5tkLSKcHC5Nf6judZaWQfDzE+KLKO4qiMbHW4 kFviEGt+47lnQFN2GF1DO00GpCQha2yTn/0ya5tfEKyHgjMCVy9MUKUe5Bt7EiBrI9NAdu+60Wit 4VLQgff0R8XetL9DeEPFjlU7iX0VBIcuN2C2425Txe2XSUkAaeCn7tHhvX/+8PbxrM+I3x/e3s3C TJKJ4kY/m+QppcOe1TLWRQewoDU1DswFlvHc0LEHOgrqtwktnWShsRd01KDnGmiYAr2dXQC9fp8f fLv++AP8CYqVdp3Rz3aVbw/f3g0S0Ch++F+mkTLnuo4w9aNTGPyAoTD6mmXQC4VIfi+y5PfNy8M7 KB1/Pn9n7ODY2JuItuNnGcrAmY1Ihxnp4ow36fGuS3tRksDLlplmTfQA+QLkrGFDuUen8JPnqrEV jD2CjthWZoksKfgn8kxobrqv9Uuk9cRbliPoeWRkKMi5ljBiK9o4brWWV+o989cHvz6aXGiaaDrs mGjO0FZuJXxe3l0KNAfDxn2hcJGEarh4BBrxXHDg+y27Qbmzp6JIHELmEMRaOdBbF2aCORY9fP9u IeZpi6mWenhEtGpnumRo3ara8BDlfhVGG/nwknT1kvBmWfnutFAiCnYu3+JKtZ4OvjnYr8bzakBW wXqKsR/08SfkpLL8OL94iojn8/G2GnyY5yyuq6yx6Y4Iz8Appzo5nGYLetl1rd3Nm87nl3/+hkem B+1+CFn5b/WwmCRYLCa0GQwN33vb2GEeFst5Rgo5GGzLNl3HqE9FVGrYjGjDBSRRYZhGg+kd7PLp bD9d8K5QugdVOV2w+OvIjAezId8NSPDPpSFgfZmViJaPBn87mq3hgralmhfrJtNVYyh5fv/rt+zb bwF2kc9Cqj86C7YWNMHaeCaC1ph8msyH1PLTvB8T17vbLikVGp+hcLYk2BZTA7FJVzJDbnrMdJ+n aVvRwQvzNtN0KcOYVrhRbgddoZkyCNBKsBNJ4mjWHpFaJZwZ36yGp5r7UjuXNfUzac7Pf/8O+snD ywssAig8+qdZG3sLjauO6CxDiUhV7lIw6BCxkcyHJ5XbkKaJc3qv0zEuPubbSQkYqdR6YNb05/dH OipV0uPoDrPB/6jIt+hqERgH2Y75gDBS+ywNdlF+kWl0p86r/+dkdbz6p/F1UQz1Yz/Mklyvy8GY p6sNwj87yLy6NeMcajL6L/P/6SgPktFXE7XXL8IkJ5OAU5CvZ8XUyburHNaO8gqE+hRbb045i5sW WMt141EzHbs8jN0mZ8qWgR7868htY/0+4ODw1Qhk3BMyLpC/wV+iAP0+Qm2DL7U0BSuU8/5sJ11v oo3nJqGX0dcs7EV4KySq1ermdjksGzaH+ZCaZk5N7ahCHVKobRQJjO3mfY/2HU3XTwiEm5cSzDXq MZGcyZrQu/nPnZVFuJguqjrMWXz38JAk9/S4H60TBGaz6r8TaWlrWmW0SZxNSJNuqspSRKJA3c6m aj62aDIN4kzhi32I+RwFFE1ll9dRzPWKyEN1uxpPhe33F6l4ejsek5tgQ5tyD9KAjqyyQtUliCz0 K0EOY72b3NyQV2paji7+dsz5BeySYDlbTIkRUk2WK/7gcmxsigYQgMkONoASWgV2snw2uKxSZHsl Rn9qaKrwKeaqVuHGfqMIES9qOM5bCmF+zEVq71HBtJmFveFEU2CcQOGiqKeTxXiwWEqZo/r+PkBu 1fRalFNryvTExYA4xKptGImolqsb3gu3EbmdBRWvVnYCVTW/KAFnznp1u8ul4rq6EZJyMh7Pba3e +Xyr7dY3k7GeKIMmK8//eXgfRd/eP95+fNVPmzc44B9oJsF8Ri+gD46eYFY/f8c/+2Yt8RRpV+D/ kdlwkMeRGvhPWLbcEhRkPLzmnG7evjpmP1jbkmobdKSnlpVFbubFMQm6hQ8BaF9GSRTAzvl2fnn4 gM8ZDLAmO/20NVlJVBBtXAthW1aWu9JAYnfuS3WwrLanO2rFhd/9G78GH7SQAXps3PeKjQx2mTM3 RRwg/KPt3tDNWUreibVIRS3I5nxAB2D2O8jW0OeB0H1hh0ar0M24OXkMGhqZCGFjjzougXWfcFDO 2xSmW6WUo8nsdj76ZfP8dj7Bv1/JNWqbPCokeoRx9xgNC81s93aFLuZtKTEigHGT4ctq2lDv8Ts3 jzM7fubu45vrLA197uV6a2U5WPvtwbn17BejO41YfAFCoZTCc0YQAQZksLwo97KOlY+Dp0GP58oa ZuzB4/O69VnQRKAkv8LAdwUGXZy/cETLL3+jVx74ugO9PupOKzIF6xuf8VGWnqgE7X9X+0pN48R1 SujVXSdRyyiTdsiRezIke8cKcn3B2k3IkODNVMiVqZ+H88i443tFvgiP8xAyQXHApwe9fNhNb26m C14TQgGRrAXow6HvwaQSHxksoi++dsYy/KFRCGc2HY89b21h3n4WDMNseMsTPsMG+/zHD9wGmjtt YSEMkpNh66Dyk0m6XQFd7wfgL0fQ82BnmAUZ8UOT8YwfuaCwSd6fuLzPd7zmaZUjQpG3zhzdIUKT 9FuTG35ZtjPYSrpMynIym/iQTdpEsQjwrB6QU72KoyBjL+dI0lJSK4cIYORfVGVKde0jEvHFAbiH LbftoGtpiYEKfq4mk0ntW2pyXDA8dx34Iki1ZW+b7QJhz0jLiD71e1fyr0PZ6YqAHWoa0TlzlqnY N5Vj/n4JGb45Fk98vXNtmBxAn6LfqSl1ul6t2OdcrcTrIhOhM4vWcz5+ch0kuPt5QpnSim+MwDfs ymibuX4yVmb8dDVvG+IBzJfwykCEDw4cUIR1yt0/WWkwgfMwFOzbrO+4negYHUi7lrtDis4m0CB1 zrul2yLH6yLrrWdRs2QKj0wc3R0iJ/ZhwHQqwXzlTsaKGm8bUl3yc6Bj813fsfkx2LOv1iwqCnqo CdTq9j9X5kMAx4uMLnER60BvJdH+MRT5roLTjOCHaHh1rQzpTmOQn/gQaTuVBiCxrS7xdM/PIRgc 7ktww/zwXSRJg9vk9Grd5RdqBLdY5hUcO8Mt65FkJdkdxElS/+Hoan9Eq+nCduyzWe6795J/NhvJ Y1fOozhFWz5GGOieGRxVviTutkY5vuzmvpoBw5fG8w7gJpmM+UETbflV/HNypQ8TURxlTFo9OSa+ hUftPdAFan/PBb7bBUEpIs3opXVczWtPICzwFgNTlM1Vp4vsDRcpYNcnCgo62vZqtVrwq6JhQbZ8 VN1efVmt5pXn1s0pNGumoLWGBdPV5yX/6jswq+kcuDwbmvRmPruiguhSlbQf87C59wW9M4Hfk7Gn nzdSxOmV4lJRNoX1i6Qh8QdTtZqtWAu4nacs8QKEqLdq6hmlx4qFi6DZFVmaJQ760pU1PKXfFIGe iyCkKRwfEOigdrWvYQ6r2e2Ybh7T/fVRkx5hsyc7mMZvDx31fJgw25Ma42u0V1bnBnvTOJTTuw6h 35pjG/xeouvsJrqivOcyVfiUBLkAya7uGHdxtqVu6XexmFWeCNS72KvSQp6VTGsf+47FQrQrckCL Z0K0xjuMF5c+dLsiuTokipB63C/H8ytzASORSkmUCeGxX60ms1uPLQZZZcZPoGI1Wd5eqwSMD6HY FaVAeIyCZSmRgH5DfCoUbp7uUZNJKe1Hk2xGFsMZH/5RJPAN3yNAR5/z4NpBU0WxoKtNcDsdzzgH PpKKWvUjdetZuIE1ub3S0SpRZGzIPAomvvxA9nYy8RzLkDm/tsaqLECjZcUbc1SptxHyeWUCA/8n uo5ihOxEnt8nUvB7KQ4PyRvxAgT58BgI0+hwpRL3aZarexp+cQrqKt46s3eYtpS7Q0mWUkO5koqm wGA50FkQbFJ5ovPLmI2ysfI80n0AftbFzhf7g9wjPrgSsXDcVran6IuDAGQo9WnhG3CdwOyaEcPc 7tqZN/e9oor8S2cjE8fQ1j6ZTRh6og+j3BO8qKFx1nhe4BVHEyt19Gng0HtOWHqfVCuUqCre3i4S 3s6bxx5M5Tzn6cpJoG21u9f3j9/en5/Oo4NatxdGWup8fmrwBJDTwsSIp4fviFs2uCU7OWtcC2lQ n0LOgonivc01MXsQxyt3dHPaXYitBe7CpwPRTBM7gNVmWVYyhtvaDBhWe+D0sAoVkQMCBoF6/Ibz IlLJgnMytzPtD1scU4KS523TQjQGBI7XKQQc0w6Mthm2A4ZNLz3yX+5De7+3WdqYK1NtZTEOFhrZ YnR6RnCKX4aoRL8iAsb7+Tz6+LOVYtzUTlcQyLjLKYuL797GnqN8LyXK1bLYTGf8emAJJiA1/zy/ KhcE08X0qpQINzfTOW+TtTMTq+nketWCYjr24E/3UruT4z7ZbxRJhQZ9fo09fI5Kdaj9iO2wXPoy 1uhYl9AfIhUyd+7fvv/48F7ta6wS0uVI0Mgm3GjRzM0GX6eICcSy4SA4GIH/MWTzIsueuBkaTiLK IqoaThc59IJvuT+3bxCTUdwky/CpKRZnzQh8zu5NPZyE8ngplTwat3ir3Xx+3ybBXt6vM1GQ656W BoOS32ctgXyxWK1+Ruj2ihDiHyr2Tfleptyv+YrelZPxgp8WRObmqsx04jG8dDJhA+hXLFe8P1cn Ge+hvpdF0JX6uoQelZ5ot06wDMRyPuH9w2yh1XxypcPMkL7ybf/H2JW0t40z6b+S48yhp7mIiw5z oCBKYpukGIKS6Fz0uBNPx88knZ7EPZP+91MFgCSWAv0dnNj1FrEvBaCWJo8jeoUweOI3eGCpz+Lk jcHRMHqxWRi6Pow8V3UTT1veBs9L/MyDnh7xEvGN7NSp9Y2OO9f7Q8VPKnjuGykO51txK2gVioXr 0r45oqr3PPW8xi2joInuw/nCTr5YJgvnrd4Enr1wZhqHN0uFF453j+bM0osDCH6N5zZGWzZXcFg1 MSqE51JcsAjfwh6n2JIBW4aD8O65iVYlATGSWKz6pto4WlaCSLt2EpC0dDbZeUO9WAroEGi2OhNF KJWfnWQOIT0tFEhd0ksoDty0YkqglZDu/1VRkmkfOj19/ySs76tfz+9w8zaCzPW6+Taham9xiD/v VR5sDKVlSYZ/7cdmA2dDHrEsDOzkYHeXW4tJZVXHI5sK5z2C2hc3m6QUNSSzVVAgNj7PS+rrniGX typyX9ALcrFa6lg0pWmTMFHuLYcdmaDXG4JYNpcweAgJ5NDkQjl+VheienpRRiWkOCkYfX76/vQR T6SOV7VhMLSpr1TXYqCnbX7vBvMyR+piCzL9VCLcraAfAzuqqbJi/P7y9MU1WZS2GzJ2GNND2Skg j5LA7m9FhlNv15fCcH2yvfYOgOmTrqUeIXSOME2SoLhfCyAZsXB1pgOeXx9ojEm1RRq0HELpUDkW lJGPztL2wmOdFmNQR3uMtd2UM4snFzhJ7smreKNpbzAv6SoIJ1Bk2v0Q5Tn1eqUz1R33NGpTzS6p 2m9//oI0SEQMG3ED42ohy49B5onDgBolEvFc2koWbKyaNoNUHKZhi0bUetpO9TdOGdIpsEbVrPdO kpLsHT6csXbsiLwkMH23VlfOwrTi2bjSRWqR/W0ojqZvRBr3ltbDd989doXpaMb8AJnXqlAdxnRM qRvRKR1dg22h+QsKGEwr6f8ptMC+i5wPgLbMwzhySnjg0JWdXQ+Cp2oPdTnO/lRXOajetfq26/fu mOlQVtRG6WxjbCzG9nxiQ187VqkKbNFiGV0mkT66ZiFdbjQEVUWJdLqjvR+58fLXnj+cG/IJ4IKX 1uZGJpzI+MMISJgbN3yqPuiPyDYWWRDREpCXV+UOa9T1sBuQAat7cc255Fl3bsW7zrqXUIrm/h6v QKgHca7d13ragrrHn5IZQXIFIFzpmeGzJR3tveSRyrgbWTAMP+85m8ksxW2+vNA9FKReleDjlZMB xgvzJ3zD6CT7Mx3pDouHHjLPh4OV7O5fKdHpBhJmu9fvtGeScBkHkp8MubzcTs+44/7Z4Sh0P/4L Wb4uEWTl2XcS2rsOtZx10/mb5RQe46CW1BYDwIMZK/o6+ZxYOLyj+dR5TnIw2o7sVLIH2Tj0VGDw 01GFguZiZjj2sarrR8Md60RZfLFODhQdaXY+F6nu6i98EME4Z09r8roODoju7WZk6rGzDj3DMJAf +/JIq0cjLA7UKmr1MtgipuKUe75ip8L0fY7E5jJOJWz+/vL68teX559QOSyt8CtBGD+pz/y3WxND PbBNHFBxgyaOjhXbZBM6RVLATxeAdnGJTT2yrjbMv1YrYxZV+aazfbxqHHBav3C9I4svf3z7/vL6 +esPoy9BbDiejYDWE7FjB4pY6EW2Ep4zm49d6Dts6Q/lCfMdFA7on7/9eKWdYRp1LeoqTOLEU0+B prFdUiCONrHZZ0lqDz9JvfNNnlNHW8WCxgZOavdGF26QWOWBxQYnupNNaQa7EF1VjdRNBmKtUKWy MlJEKPY2TyxI6GLBSL/YufAKDtlb+opY4WlMCYYK3KajmZWxGitC188BPIR/Xue4KhJjTWUsMv/8 eH3++u53dDSnHPn821cYHV/+eff89ffnT/hm/Kvi+gUONujh59/tccJw7bMnuIbvS14dW2EWa1+H WbCIIOJtJo2Rci/i4TRPrYiWTXn1DTlbdJxodxneVoZ591h5Ie9D2XQ1GZ8VV2pxoeyMQVa8VR9e NYNu/460WXdCPqv+hG3mTxCMAfpVzvIn9bZPDoTFSYVRlqHAy9mrUQ6R/vn1s1wcVeLaiDETXpZX fYTIO1897LO2jpFrljVDaLfZAlJRZ2ySMnJ3Rxt6r/CqBy8suOi+weLz26hv33O5dO+SDONQAUW5 /1uA/Y0kW7fC6FbF57UXMeLzu5Ss5H0WrA7N0w8Vr27aBJxXQfxKHm3tvFE7B/93nQtrTLC17Qrd ib4gXgaUbOtHk7zY6Rg1nCaxU/cbOuH05IvOt3UDc0UzfYMKxzRjd8dDquFcFAEzpgVS6iYL7nXd mdQzumhurap0YxHpRgwLzS0WakPaKt9I5yzMYUsIaB0AwVEdKtIGQ3S14asJKaOtmyqIYgHxpPHh sX3fdPfje2LowQ7s3pHimNLEKEIUFEUzg8LPn07eY9S4/GF/Bz++eGWif87nDl0F3+1oQQbXUJdp NHqUJDET7+7DO4+G+omMZ9aZ8crgT3e6Soms4+8+fnmRfi4ct/XwGasrVB9/EEcX/eA9Q+LumkRc P0QLpob4XIg/0HHt0+u3767QOHRQxG8f/9sGlCKPUntDJYfWEzRb1+h5+vRJeFiFnUqk+uM/dBtj N7O57FWLFxpaZapWHkc0BvhNu7lRPogdQK7dVILiysQyeJ3I+2IbpJTUMDE0rItiHuSmA2MHNVYb G3URPoZJMFIF2hWPQ19U1Gl+YoFjb98/Xqvy5iZcP8L6p7zvW5Cl+zZn2J/HQX/mmLMp2vbc1sVD SWDlvsAQHw9km5bttex9T/ET17FsqrbC5FeqWrFSFcD5/reCw5Htje/r8lbx3aU/UinwS9tXvBTN tVrUoTp6c8IpZzxMKIJwWtahJqT0apaEkc5xVy60rI+q/r29c8hx7T1oi8T4IyfDKQjQ8ZcoqEIt I1gO/tLf29env/6Cs4HIzZEDZbmbfWfIl4K6v9GBRvUCzNKw83XFKH1yWcxdnnI9XICgXsc8SSza LDhbpb0flL3+dCvgr6lcGWF9+kWh+Mi50haHLMzz0a3OkGe++hjH14kSh6Fd8FvVoucWm8rDlG1y vTqrxZ0PhIL6/PMvWM+JLpU6Xk49FB0Hpbd7xCgKqLEVuQ2j6GsJikuf2G4NRTW9wCnkkCfO+Bi6 ikV5GNhHEqsZ5Mg/7N3mMcu922+TLGxutKQiJwDsIx5HIgtO3bkI9Lei/XAfhtqqhjx1WsS6y7PY bdueJUOSx74cho6nSZCndkO9b0aXKFWC7LF3qvhDie8k+rlMQk0eh6MxydxGnaO2vNHY6nbIV5Hd kI92dzewUZzteSUCJ6Fyv+nDe8JKCUa0Wbts0j2LI9vARosdQ1UQpd7VySYegLfOfJcTKbSpLI7z PHDLX/Ez9wQKEGthX4TQhWTJiRKaq8Hx2JfHYjj37vyFg82F0lYQQRtE/cNf/u9FHfkJmf8WTgGI UQPxTD+DL0x7Hm3IW0SdJbzpZgAzYN/4LAg/VmTDEEXXq8S/PP2vrrgCCcoLCXREYhZB0rnx6jGT sVJB4gNyq8w6JKIc2KFTaOaQWgjM5FJPEaKYBnJRaDo78pbT5Ag92cWe7AC4M/3l3ARzGpBCNQFk eeADQl+18jKgVweTKczWhpMaNrNgKoLoFVfjJClMSllHRvcT/H3JdY9LGvHeDGmsd5mOofcsQ2Vi DuHX1cZjtU73XkEZTKeb5bW52xeSg16VlAhY7BnGYodp6PE7J3aSOw7yC213ozj8WYlYOA6sQHz/ OmIHgGgTpNqYVIW6s1sUhIlLx5GSGguxjuTU+DcYQu+n1Po2MfCd9h45ld0gSmP0iejksHsfZSOp XTOXAQSTmK6YI9JYBQGGMPF9Gnq09ScW2PDCLPAY11hMa00kWKJwpIqhBBng2VOauVM9QIaEwWAG bJ2S6MeEEkWmTyH3fKsr607AIkPNSU4QCnARdUCYGOyta8lM9DXZYnPiQ5y+VeIsS7dEkWGsbMJk 9ABbsi4IRUm2WiTkycj3Ro0jybcBMdSbXbzJ3Nl4LC7HEt+Wo+2GmMSTdo+L9EMSmB09ZdUP2w0p oM+F3G+3W10JeloC9T/v12pvk9TThDzWS13Cp1c4n1Gap8qb864aLsdLb7w4OiC1xc9M+ywOtbJq 9I2XnlP0Jgz0SIYmkPiA1AdsPUDsySPMMhLYggRDAUM2hh4g9gEbPxCSPYAQeWlocGS+VDOq2Xjs 8ezNWZZ6LF9mnhF95LeooAVSNXV1OHE+5Oitzc3+IQwU4CR+KJowOXl31LkMzR7dofTHR6JywvSr YVS1d2FAtRPvynJP0IexI0bKnqcR2Xro6TyilsOZoaxrWGYaIk2x/aHEQibsnOcdlip5QAeiK5nj /VGQHNy8xcVSdDhSSBJnCaeK1LAwzvLYa9M3J8HZqaG1rRXDAOeky1AMJXcLcKyTMOdEewEQBabC 5AyB6ES+6y14RH13qk5pSJ4t5jbeNUVJ5glI53ExOrPAkVYs0WsZJAk1PvGhmZ5JePlHlec3Roox EwzTqw+jiMgKo+7Btk8AYvsj1hIJkKVQkMdUyeayHwl1mHRlonGAKEFMVASikC7zJooiD7BJPOXY RB5jTpNnfflEETL0WFHpPGmQUgKCwRISG5wAUmJ3RWBL7G/ijiijWkMiMTFMMP5AGpH7lYBiyr2P wWGbW2lQstbZgmNLDjdZ3NWh0rAuDuhyDywlHSzMn5btIQp3DbNFsWW3ZeNIjpwmpa1WF4ZsdXw3 WUynm62NEICJ3gYqMTbqJid3NDS5Xc0ip2ZXk5MZbz1ZbNeWKoBjMrEkijee9BI4QbzR4Miz1ngd y7M4JUY+ApuIHH/twOT1XMUHMl7RzMgGmKFEtRDIMnL5AQgO/msthRzbgBC32441GT00xYPGlhJZ usZQT54/oMkoPEeUpLkr63t3IPYTjKrDDoeOFC6qlneX/l513BMBdWbs4yR6Q14FnjxI6bu1hafj ySZ4IyFepzlIPaujNYLDPXEeEbsYOfMkgGrGl9q+B9eY4jxcFwDVnrG6hImtISB2SkCiIIvJCSox 8phvrrzUWoDIZrPxJZynprcHe7SNJWxyxCwcOr4JNtSeBUgSp9mWyvDC9lufZyadJyJdTk0c474r w4jcvj7UqdeBmmLhp+GNjgSO1UME4PFPt+JAZuTGtqY4PB8wmhI2evpmZeIpQeR3nnlcnigM1rYM 4Ejx1pOoQMPZJmvoOihsdauQTLuYEnLgFJKk47gEAKTwyPdhTMxoPgw8SzylbdJV4Q1EhTDK9zl9 CcKzPMqpdAWUrY2NAlo3p25QqraIAkJaRLqhabjQ48gnKGXri+lwatiqDDc0XRhQcxfpxLYo6ERT AX0T0GUEZHUSAUMSklIVerVj3QXPWyvfA1eap4VbpusQRvRFznXII9LB48Rwy+Msi4/Utwjl4dox Gjm24d738TZ682Oi4QWdWNUlHW+BTPU3Da9hOxgISUFCaUvcNgAEU/BE3FBIpCShRRvAXqfxGcjR lqTNGub5g/ZQ4vKJnH/DQxCG1MgWYp8ZglGRMETIUKETEUplamIqm7KH4qJ/AWXVh3dFxeO90WJ/ TszW+WMiY2RP9EVyH/qq4y6+L6X5wfF8hUKV3f1W8ZIqsc54KKoetpbCo+lOfYJ+I9DBlcfF4fSJ P3WCcbW8yIBa4uKfNxJaCudLSb2Z1vWZFbQYv3QaSmzSa7QWow2NHL5Srh5kdDaRPqsL/TpHIvzM 7vsB1t4zP1hW9ybDMtqWIQ0c8SYYV3NHBu1jBYgxP9Wp15U25Sep+0nXn9n8CSrF3/uiM0wyVstk 1mo3DsJNDzWJVJOx0wSSj990u0+56K/BTk0mI1uXYvXATG7Pt+LxbLqIm0FplSyMMTE8zq4mHU3M 7OgfSmg5Y3oBkZ6jaik6/Pb0+vHzp29/vOu+P7++fH3+9vfru+M3qPSf3/Qen1Pp+lJlgiOcqJPJ AOtd/Z9fidJYbO35TKrneNg7M7QmxaYvIxO7WWOf9zl+PgxEZxpkLaeFQ128u5/KO3cdWJRkUY07 XjPQloreRKrLLRKV8G1fQHH3lD2t0kRwU1SObF3gQ1X1qDZCZSQA3q1VQZnT0A1wW/tyeggnal+M aTxShYWeuRDkgr2/YGhDaBONiAG0MTCWRa6rBk1NFXUuLNKzMAg9DVvu2B1O1xszMfFYkpd2WrxD h8UgAlNminyH0ZaHjkVko5WX/jyVmtwZq10GafvRpvBo4d2KA2xZ3g/TOAhKvvMzlHgyolungqqa LSMos+ftzjEAHOCEEh28yeWZmdypIxvr1AHXvZ3cOVTkxi41Vs30OJysZCtq2xXe2YWx3Znt1dOR aSDbY0kBDgSJlQ8cNidtameUABZnu0zWlZaChCqsF8ZDiA+bxOQ1hjzLVvEtgc9zlJ0+ODWCoV12 cHxeXfWWaLZ2S1fbIPYNMVjmsyDMzeaFdfJeRKEiTtq8v/z+9OP507IbsKfvnwyVT3SxxlZKCMmZ BnQwLboz59XOcmPEqZfUHWsKnV0jm38JV85CJ5hK3ODwZSNwEPicD6VTYvtTk4cf6oLTsfX0NNAz /Z011IukwWZpCEmMtEUT1nv/9fefH9E8a3LO5oiizWFvSVdIQaUE8+QspEJhF0DGFhAfFUOUZwGR HJQy2Qb63YagTsr1ej4iobGLQDqmnypFgZX5seWtBqEG3W5QT86iAkLnTTcym4hJZJZNiSKGcZdG N0zCZnri0lIiXd3HgqKFetB3UQ0WYtgTp3aSfKe96eoclnMRAXVRGlGPgacB7cd5xYxLGKRCKpb1 u5GiXGTeX4r+YTasJ5nrjnlsfRAxPTvMxyvROXAiuTEvyk4DniSc2N4zQ9MfdDuKpdCm6zeTPplo EXUVsG++L2wNNKang9QxqhFVs0og/LuaNGEgwhrYds8mYJuIIC3PuyYPAoqY2PUR5NTjkE7OpDHc JBn1xKJgS51wpuYbl5pvg8ydq0CO6NvwGd/SN+ELTj1aCHRIjVfDiaZfSQvadAwwBMQPwg0NdabC b1BENlPRVEnn/U9SlCKRTTWN0kWi0urEIk56izpNWvyYRF4yxxuHoFebLB0dBwk6R5PobwAziSgi f3jMYVBENrdusVzsxiSwd4Fih24RaeJ56JxCP3JGaucgOKDFehwn433gzNLSQrzu4u2GfhuRcJ6R L10q7bq52Cl2RQ0CP3W86ngaBomxTkuDK48nfwlmlF62yH4x1jIKIOmkOsVUasc4bP4uT/2TXDBs PYXVGCJ7N6aZ/PsSsMDKpCt7TkdTatBOWHHxhScEDgyftTaub3UYZTEhjtRNnNhzyraHQ9pkbGoK JyLqd7HaHhMP90SmEaVr8g35tqnA2F4J1K0DsbEr5I3c4iRYLTSwbLf0a5KA2X4bb6iBO11gzB2p e+HyCaDLZcPy1m6TpGBLAYdqLKF/zvUgFeSWy5SZBT3ZXYR31JZffH7iFna8jBZ30f/qB7B/Hq2Z RfGo/ZhIoGBDnqf07qdx7ZOY3OI0Fil3U+0kV1gSmSR8B3GFdQ3TRHa3tyY5mqiG1wrWZNHFZQOJ QrIWAiFrcSjaJE50kXzBzH1toVe83sampGSAcNQP6dArCxusLWlMr7caE+xQ5NuxxeJpTGFHsj7y kCXx1AQ1WKygHSRPmqVUK6FcmOQ+KE83Wy+UeqaCkg/faDXBRdolGTyWVGpheUSXXB2bHPf+BkdG auCZPCDRkhl0eZ7QLQMyKT2GbQs/E9G9vJuILuEuiCuhatjh8qEMfStVd83zwKNua3GR9nAWz5ac yo5Qq0GWDLwgPGq6IiAbDyFOtytPmjxLyUbSBFyiirw+JnY8OYcJtZ5C6Dg6iUlifCuJNDIOLyaW BPSwmKRLP0bPW4GFMTlwBRZtfGlaQp2GuXZwCyglFqoNmCWv9eg8zTgf1FXvicDKlL/hnlZUFDi6 46UkeVbaOSOlPQ/VoTI1EETwNoF6yrEwqDt5SsgTPMSdvQGAnFMPHklkYtzt+6twX8rLumRGXsq/ y6eXp0n6ev3nL92SXZW0aNDd+VIYAy3aoj6DvH31MeyrYzWAoOXn6At0uOAB+b73QZPbGB8uDH71 NpwdvThV1pri47fvRKixa7Uvz3fDQ65qnbMwrTL8W++vO1fadRMXmV5fPj1/29Qvf/79cwqJZ+d6 3dTa1Fto5jWjRsdeL6HXzVsqyVDsr15DbskhheemakWswfaoG/uI5JuyieDHvl4VmLjNxghsdwa/ UTNJst1a6fh7bh+qHYxemR0XLq1kT6m5K7AHvLNKY+vL9xccJLKl5NPFl+enH8/4pRgdn59ehR+z Z+H97JNbmv75f/5+/vH6rpCnq3Lsyr7CGOBFrXs689ZCMO1f/nh5ffrybrj+P2NPstxGkuuvMOYw 4Y73Jlw7i4c+1EayWrW5slgifWFo1LStaFlySPJM+339A7K2XJC0D14IoJAbgERuANU6FKeyJDeb EFWJEQA4bXSEYY4aTFv5ux2IqPRURXzfE0eXyZ+lGYZLZmAk8ro6FzVj8NdOpjkU2bzqmttG1F40 LXqw4VF9k5yygMLBd8pjDQ0NMYlrfNg6imVe4ITmcDhIby3eu1owaTkISL4j+ZX8spHpQ6Z+NAh7 1+wUPVlM15i3ktaTRdPm7JYS90UReQD5IhJDauJwqcUsWDSrBHYYtzJ5z3BjBbVojCorR2gs2Znx 9LgtlY8Qa85tr6HafV7qdisfHkgr1oqDca40WquBAkUek0/+HnhaWU5J8UVHQJmf5elBjJQ1gO6e 7h8eH+9efhDHZMNc2HWReFYxlJW3o6EeboB9//PhGSaf+2eMsPO/q28vz/eX11eMxIgxFb8+/C0x Hlh0Pd/pUjl3abT2XG1uAPAmlO/xj4gM8wT6tFsikBhylo5CxxrXM9ycHygS5roWtScxoX1Xfre3 wAvXoQ7nxroVvetYUZ44bqy2+ZBGtis/VBsQ4Equ1/QuykLg0lkIR1lpnDUrG8odHQhYXZ3OcbeF RZwU6+rXhppLRZuymVAdfBZFwRSFbeQskS9uhJEFTPp4SUbttAHs6p2GiMCi3qcs+NDTBG8Eo77q POMutK91M+B9Kh3AjA0CnekNs2wyZMYoq0UYQEvEtdzcp2vb1jpkAB81hcINkbVHdNSEUU2UStY3 vk1ujgp4X6sOgNeWpev3rROKj8cm6GYIOKKWjXBzxyJa74i+ObrDo2NBulBo7ySZFicFoQfJ84tR yY+OP9km0fMjxfnyZNSIte3Qgyq+bBKkfE0L/5qkdqmh5ogNtcGz4H1xQ0ECjzqhoDZuuImJom7C UA0vJw/anoWOaoOl7py7TujOh69ggf5z+Xp5elthYH9i+A5NGsCy3DYb4YFiNBpSkTr7ZcJ7P5Dc PwMNmEDc8J9qoNm6te/smWZHjRyG6Hppu3r7/gR+tcIW/Rx8FWePTzWnWHcK/TDLP7zeX2CCf7o8 Y9KMy+M3gZ8+AmuXfD01Wh7fWW+IKZi+tDI2HlOLNnlqOdLC0VyroVp3Xy8vd8DtCWYWPY3iKFFN l1e4Yi40pSnzqGkozD73/UAF5iX0pWZ7OHRDQcVdyAW6JjlsNB0FqEvydX1NceveCTyNA0J9jQNC 9emQQym+a4qvH8iRFCa4+iheI/AD8gm5gCacI4RvqAOSCb125AduM5w+CpjRAeUoIvxqJddkl4Sh LjB1vyGHZRPo813d226oS0zPgsDx9FqW3aa0LOqcRMDr7jGCbZvoLEA0Fvnsa8Z3lqVZeATbNlVM bxmK6aFa14rpbX0iYa3lWk3iEsNV1XVl2Rx5xSCVdcH0b9s/fK8yt5n5N0EU6Z9xOH2JYibwsmR3 xWv2b/w42mrN5PZIhWZdmN1ogsH8ZO2W0lREW0NuKAuA6Su3aSr2Q0d3EW7Wru4hpLebtW4CARpa 63OflGJ1pDJ5LbaPd69fBDOteRmNHfjmeQXvJgSECOC5oheQDoFc4hyM9vr8tmN2EDgkP+1jYYmM uIjYMUiOqROG1pCco+1JvgQHZT/3UC0p05Lvr2/PXx/+74LbTnwqJ7aY+BeYTachsxOKRLBotscE vjQ2lOYnDSmequh815IdUPCbkAwLLlFlkb8Ww1LqyDWNLFku2SwJ1znyrVsFFxgazHGuEeeIURUU nO0a6vKhsy3bUN4xcSwnNOF8yzJ+51nyoaVUm2MBn/rU3ptOtiZOYUZ84nksJF1BiQyd0MC/JiR2 aCpjm8AYUkZaI3KusjDcetNrQgcsFwkzzxSeQS4VPEDyFpPYNWHYsgDY6Sc4Q50O0cYowyx3bN8g +3m3sZVLbwK2BYtP7zwrw+9adrv9SRs+lHZqQxd7xgHgFDG00iOtH2XPREP3euHbsduX56c3+OR1 SsvCb1G9vsHa/O7lz9W717s3WCw8vF1+W30SSMf64J4w62Ir3Agu8QgMpJtAA7C3NtbfYoNmsOFK 4IgPbNv623BcMaBtuShUMtEScVgYpswdogxQTb3n+Wj+ZwUzBawI3zBNsLHRaXu8kblPdjlx0lRp dj4qqnwAU4Wht6a8tgU71xRA/2K/MhjJ0fGkfagZKJ7g8xI6V/QxEfSxgCET410swI02aP7e9sin GdOQOmGoy4RFyYSjSw8fcVJQyNsQ4wCEVujqo2JJtxAmUidQRKbPmH3cqN+Pep/aWs0H1NDheqnA /6jSR7pKDJ8HFHBNDaLaeyBa8qsNXhKD6c3UTaACyhzGpSEOg8imdvWWXlzbojh2q3e/oiisCcO1 PpIIpVz5saXOWq/iAKYnklkiXTMeVJZ6kI2oApbeoU1Jjqd1bnXsAvpKzqhVPqFVrq9ISJrHOAxl TIMTDbxGsFqXEU7HLx8J1KhHehMVNY22G0sV6Cyx9QFBdXQDytMchgs8dMdq9WEEuGeTIV4R33aF E7paYQPYZC65iVXa8TG1YaLFU+g6VVWJLx5EaU5G82+UY7QOoap+Qwc6pOQ4LtVfjvy8ZNjQ7BgU Xz2/vH1ZRbDafLi/e3p/8/xyuXtadYuKvU/4/JR2vbGSIJuOZSl2p25921HnRwRKF7AQGCewGNTN brFLO9e1TOo6on2Z1wgVw+QMYBgo1Yih4lrKFBAdQl8OtLVAz9AHhsqMBL1XEGXYswHLWXrdgskD tyHjCY0KFmozAzemjsWk0uTp+58/r4IoUQnedFZGi7sInjsn1ppuTQgMV89Pjz9G5+99UxQy12GL Vp45+JwGjQJrb7QaC81m1iGWJdNllGlnYPXp+WVwXNT+BEvsbo6nP4xmq6jivUNtTs5IRVoA1sgR q2aoyWTg/WrP0twyDjZEFVzw9LqHCyAs683YYsfCXUGfHs94MosC593F4MPqthEMThD4Jv84Pzq+ 5feK8OASydEkF22/q9j+fd0emKvoccSSunMytSb7rKACLyXPX78+P/FYLS+f7u4vq3dZ5VuOY/9G ZxFXbLW10d3Pht5LMi1ueDW65+fHV0wmCRJ6eXz+tnq6/Nes9emhLE/nbUaWY7rAwZnsXu6+fXm4 J1JyRjthJxJ+YDDzwJNBU/bEuTIIZDm1rYAYOZU3f+y564SFb7+LzlEbawB+xWXXHPiNrmWzDpDs Nu8w82NNxUdIxQxE8IOfMJ3TOJehKTTtcOQpDZRbfRzLExWUVLbqBc2yYou3fmTGNyVDKWuk65Ej fBuTqIEd1Khk3bmrm7qod6dzm22ZTLfllxzFyE4asu6zdrixBTO83KaBoMginr+U8aRMhvYVdZSe YSWfnrd5W44JiuXOk053EdZ1pQbgd8SaaJedm7ouZHTfRiXZG/gdBd9l5ZkHHzB0rgmH37E93hqj sAwEKf1dSBg/niOvYG5QNoyFr3jK7z24toEqOUMy88ImY51OBJiYGbdBN+FRro2E9LWkfaa6DV5a W0q77NNZsgCWq9pGaUa+KUUk6D3ontq6AXomcwIL+CS/MXyJr8qajr7ALZDtorYb1IKIMBUlzerd cNUoeW6mK0a/YarvTw+fv7/c4Y1MyVgOjPEVO2krf43h6MO8fnu8+7HKnj4/PF1+XqSagGC+QHqF zcJlzyI1F7XAv6oPfRZJYzSCQMt3UXI6J93xypX7iXi43uqT4Cnq1e+uXshkJA/X68dTWBX5bt9p urKxSR8KrcMuU8xJDzquMujL292WdEZQ78vIV9aEAzQwbOOOaDeg16M4oqqxL3fRztEL+XAsjCXE dbKnpkrenrztMEtsc5CLaaIqmyPqTbLT3D1dHiVVVzAih7jN011GcF0wEvPFE4pfHv78fFHs3/AG Ij/Cf45rKQulhE0b0YKZeYsfZ10V9XkvcxyBVBQ+RCd5Cy7g+UNGyiKmsEeq/TF0/bWw1J4QeZFv HDGDj4hwxbRKIsITN+0mRJlbTuh+kER9wrVZEzXktsJEwbq1L791FzBr1zfbzT6uj/wc00gxmASD 4GXH4XUNPlMCj4ZRglK3mFidex5nDHx2o1Bh0uY2qtK6nIRp+3L39bL69/dPn2CmStV7OuAMJWWK OT0WPgDjL4xOIkjsj8kf4d4J0RhgkIrRJeA3j3fYZ4x40INVgD/bvCjaLNERSd2coLBIQ+QlODVx kcufMPCqSF6IIHkhQuS1tDPGwcjyXXXOqjSPqGl6KlG62I8dkG2zts3Ss3h/mrueySFWygd3WkrZ jf0lmOsFWtZpNjpQcmldXvDag6TuyIH/cvfy53/vXi7UuwjsTq67dPOa0lE6BSDQxdsalvcYEKNS HngJbE9x1srrRxE6SonIOjK8XkMUeHQwBvTZGRcH1hmR0MV2YESCXJpw2ZZys1BFPHG3DEd2Jw8r hu7EFyLySDE71WIoITewGzl1/RFwbd7LnBEgv8KagEpogglMTv7YZWuPmmUBU2Sh5a9DhT6JWtAs jOVakWGTkOW4LlUgwvMdFUPfTURp5zl5ZQXgIDDwRZFV+aEkkSfW5R8OGYVTazCCjVUYvHO5QzlI 7/4BbOrpEa09gZMEvDvZTngFa0Ix6hYAwqNeCUQxA81NHvFRkijjyHKm/j67sts1QUmPEhUtlwW5 5w810VLzgMFbpjBDPI/I38CMF4P6d9TcieqT1WDAc3lIbk6tbHvddHvUAERLOVgd4L6u07qWVb7v wkDewUdbDL5cVhksYtTeSBya0pV+g4aVw2Ss6B1CYYaH5XrWR1RKPYkmObCulrVDiaeE6heDq33s PF+xz3q6Sj4UPHCJrFQZaE9Vl4qqxdApxyMF44/vdprRn7BmmeRXqVRJK9fqhZHp6hnl8vAZL767 /+vx4fOXt9U/V0WSTq9xlx24uQDADm9Jx9fZRMVmXZcIl3Yv+DHAtNiABTnE/bnKXw0QKGPEo8QF w5Mc0iXy/M63SuRpgo5F+6ilZ8aFSH80TxBFaROGATXXKDTig4kFpQeJED5T48xIPRvIdxIElugk /7RxU+CF6xVXgtYI4y6FdBEq1vuOtS4aChengS0HpRNKapNjUpHROGeaMe6RuOb7idRPPMBHwlQE ggTv01LYsYXlpBTlE39jOsADzLlgBohaCRTcAZN5jZikOHTOeNF6rLC2NT59xupDJabhxJ9nfDKs RkiRMRjXG3Q0p7ZamcSwSnm09VYGNUkpA1j2QVN3hLfRbQmOnAyEWuB2sQws82PWIkoryQg8N8Vh l1cEkqjyvp2AS58AWH6JTXfHHOcB5oHxjbpYHkb23yqV6LM2rlm2zOIkDvy9Gxmn+KszaPpIrT42 9tgerjlSSJZ0xRlmyTzlC2VDK4en0/Fhqw3tAcOaa13HxxxPe0y9Nn2oDyB+Og7IvJenEaDgwOQO rgONU+SnOXiWfT5ErUKuv7lGINZbBkVFXTdqG2GWx6IMLSy7JuqVanRMPJka6tvmUXE+2IEv3mte Kq0NKshaGVXO0ZA0iI+7VCc+Ue/Tf/HtYnHzbYZJqpBGaAD4iQy4Eh+z3x3LC5XBNUSp47jakMAW cMcw0CuWp/qZ3l5KxJ2ncwpw1rVZtev2EhbsyPL7oH27+BPDsfq3yz2e42PB2vEo0kcehpUX+51D k/ZAT9wc29C31znugN2ptCcrbvJKhuH5YHtSYTn8UoH1YRe1MqyMEhgyhRAMTJrfZCemfM+vvKoN TE4w7IwOu4N46OZdXbU5M7Uzw+PCrVwUxrMRXWsO+whVUkvfZWWct9T+GMduW4XJrqjbvD4oLQPG XX3QB+/mZKr0bVR0smYjtM+zW1ZXOeVh89JPrXKeidAcczwooC5Tef8RxWRwa8R1t3m1jyqt+lnF chB70jojQZFoSZY4mEyXMmCquq/luuIG+Cj5BBR/iG9+Zrg45AhsD2VcZE2UOgNK9IDy3cazAEx7 P/ntPssKXYj4YrWEwc5UeIFLKhV44vFtZGibDeKr0OYYhbzedgq4xkgdmaJM4JR0OSldVUfNAYgB W53dqOTgTOOhAAiwaXSarIuKU3VUtBlMATikJHDYcybg5BaLSAAyQnk2IkmSK8amKSIMzwP6oegf eC1lpFSbRfnQCRKsZAcxZxkHYtZ48HK1DmNdFlHO6IgDkQH7njHts0MFPqDZoMHkbVLvNsuqiIn7 LzNIEWpeUAl+xR/1SS1NVOxc1TawOizLUpVXtwdFL4117vbtgcH8zzryVAZJDjgfnhvmyuXd5nlZ d4oGHfOqVOr1MWtrbIhYsQmmaK5Us4+nFKZIo4Uacr6d9wdFTkf4sAUz/tKm3kJNWzu9ciOm8vlW BOlY4G2F/RjERrilINIKqcdytlfYzPUad2MZt4tk5QwsZudLLHLyXVh8rvdJfsbDiSIbz1EE3wbw RLw5BGM0r67NaS8fCQ5Fk59jgzogAfy30qL/C3hYTkNjI3beJ6lSuuGLITUI7zUkwqYKHtcMb778 eH24h2Es7n5IV9aE4/uGMzwmWd4bG4B1P/emJnbRvq/Vys6jcaUeSiFRussMOWhOjSHACH7Y1jCg wzUwortKOXQ9D9yEqxWa9Dze4RIiQQ3BoPbPr294NWO6/qfl9cKPlWUkgli6F9O4zKAzBvdKEnAL pUhkC75RPwNHu96rzVnoeR47uk0jw6LblvS3W/yXfD2NNFGRyJaD91O+BaNiSH4B+Gnz1lQlJYUE gJJ4TWasRFzPQyGW4ksDBB+g2nkA42+pzHBdAHOjIW8NL+6DNjB79kEGdDXb53E0joVUQNndXO3t I7iBgn0pwYXv8uRGh8xCM74j/vr88oO9Pdz/RYXZGj85VCzaZtBIDMVNffpzaZ1Y8XEsGVGvP7gP V53dUHlDOOJbn8xxvOCXIVi4V9kt94sExxZ+DRvXFOw8eZyLr4u4uEXHqwLtOe9v8d5mtZMd8uHJ e0asQ/n3kXipZoAwN/D8SCuJ74pTYrlgHYWVGkB/AgYeQRlYck5YDh9CG5sKbZJoo5c6QrUcSBxp mHyGSmBCCE9vOIDJDecR6/tEkuoZJ74yWYBapwAwcIiiQ58MbDHKRQbTTRnlBdUD/pGGKnvgMypw 9e6fMgZ0UWeY8jjZcBpiqqZ6IjICE9vxmCXGWeEIItD/IOipE1p6D415fJhHJ4AfhGgIya0w7JII gyCr0CLxN/ZR7TuUZP9vBShmhFHUjD+i+Pfjw9Nf7+zf+Mzf7uLVuFb+/oS3VQnHcvVucc9/UxQ1 xlVLqStIcVRTLylo6FDtK7xvavoEc7uFsdoBQ8ITg5iXmN3OU79Ycp6IYLYrXduzxC7rXh4+f9ZN E7qaO2njVASrW+wSrgaDuK87A7bsUgNmn4E/FGeR6UviEpCETzRrOmGiBJZneXfShmIiMOfEEqmm bKvyGoj35MO3N3xo9rp6G7pzkbTq8vbp4fEN70XzG7Wrd9jrb3cvny9vqpjNvdtGFculrW+5pTwY tLE1TaRsbNFkVdalGfUmTGGGG7Oq1M09K0fEHFzJ8W6CWL8c/q7Ah6koZcnAHp3B6uBJDEtacQXJ UcSKCOEEp7ZLztLdMQSABfKC0A51zDTfz2wRuE/A3zpR63zEAqaDFZzMZwROZ2D/eHm7t/4hczWf 0CC26pWHD0M8yg7aOF1MFRQUvwDTux2yHctV4XA8d1KbxRHKeMs1bHu+7NCqgetnrIrmw0xfDRlU jnJFeMTzOPY/ZuJGxYLJ6o8bCn4cOGlVS5ntmrJPCCRr6o2DQBCsHb1UTLO7kVKwLIgxJ5qCaJmf uErqjxGVs8J2LPrikkzj0O+uJ6IjkBgyz4wUTbINfcO7OonGCn6ByP0Vol+hCa/TlJ7dhYZEFSNJ /MF1qIXNLKdLTgPt2zFHxZWvGTjGGyvSR3ULs6NLiEELQmnTcF98Ai/Si3e3J3hWupZDSVPvSqF1 FngYytFE5yb49BbijE9BWUJNlfFc76oq49hsCH3lcM+ol9cFmZOQeYUEAo9sJ8f8XOvJpGuSdou3 Lebu3awtcvQ8w6gGNikFaAs8YvgGs0LYm/9n7cmWG8eRfN+vUMzTbMTWjnhIoh4hkpJYIkWaoGS5 XhhuW12laNvy+ojpmq9fJA4KCSbt6ol5spWZxI1EJpCH2CU+ii3SfRFXs7mzcOBGk6k3WSO3wTRC HNg+ZyZGR6hwH0+Pag0VkgCtz3lM9ERhhParBFMdvP/2TUjgjx+vtLgoe0evnk4/omJqWAQowqsN nxBjCkw/mrRLVmT5zUCNguCzNTaN6LjJFsnMjz5Z5bMwmgw0YRZ9/jExAQn3QzsMcQd39D4EJ1iT m/O2YyTNxps1jFrdYdRExK4CeED2EjATMqWVIeDF1Kd6ubgKHf2zW4DVJCaVdEMAC5TYtG7yPmsz uAmYOtEkcJMvmaWsMh33uO356YvQST7boctG/Dcm7xwvbKFnJN+hZCop0uiCq/CLA9UnkIS5l2hH OVwVbLFb9hOh8JttDM4k2A7pWsKpFwJVzmUk1e+2KPfpxaXGbhBgjQczfeOhiYSqOPBi5LS9U0x2 hyTjVc7sN98kDGcRmlGIZD4gumXFChz4swxsYUmKitXSTqwC1yRiPCRc3xK2hdCTmO39prDSMcjg /vY3gwSXcPnYm7clfp60MVuyWRbFcJbzoTbrj+0adwOq8n5JXu6BpXTfCgt8w1Y75KiuHA3d33DP s+sB0WXuBaYdynqoBRg72TcnXdlFD5Ztqx1SNQ1tMdTvpKLtZvcyJT20v7fDitPdy/n1/PvbaP3z +fjyZT/6LvPXEO+Q65sqHYrV+Ukpl0JWdXqzIN+uecNWykvqsmBKMB8aOOxyoUT3NUQxNK9vt99P T9/d9z92d3d8OL6cH49vSAxgYjt6U39sMVoNwnHpne9VmU+3D+fvMiaFDt9yd34Slbo1zCJb6hO/ /QiX/VE5dk0G/dvpy/3p5ahypdJ1NrPAQ96SGjSQdddgTcJY3LLP6tWhx59v7wTZE2RK+nRIUIID 8XsWTu2KPy9Mu+RCa7roOfzn09uP4+sJVTWPcHo9CaHDLg4WJyvbHt/+eX75Qw7Kz38dX/5nlD0+ H+9lG2Oyl5N5gOIR/2IJesG+iQUsvjy+fP85kssOlnUW2xWks2gS4s5J0IDPhsGa58ZubQ9Vpa5/ jq/nB7jOHppVq3ZfSM1uNEiTpuSTYjpzBmITX6pQHiY4qLqxtrz94/0ZihT1HEevz8fj3Q/bCnWA wuFAbc9mUb0uyHtBTqXd0nHoq10Ah/POqB+v57v2DgegdljS0/3L+XRvzacMxYGqds/Sbl+qT82X 5nnZvQdd8XZZrRic5hfgbpvxG84rhl6xFVR0hpc1bY9oU5jT6TIrzbL3u2WrwvOn4UYc+D3cIplO hUqNVq9GgTN6OF7QYoRNM6MFIItkEnxOMhtwlgYCcGb3pj1fMo0JyECNiGDS67hynB8PwL2BqsKI DmuFSCh1VRNUcSJ2ftirtWZRNOs3kk+Tsc88Cu55PgFPKz7xJ0Tj+drzyIwzBs8ToWjP+yVyCAFI tEzCpzQ8IFoG8AkBV1EDSHg03xM9gXgDjsztEOSQiKU/xrvYm3r9FgjwbEyAq0SQz8bUzriWjyDl gEP1hs9o/a3KwqALR7u6ff3j+EYFnTcccMX4Jm3aZc2K9LqsNyQLcorpOpGleSJEPDcf5FW+oiyj D9HUyjyn9ED7GafKhIZsydjiR7soSkuZY3mWbmXYA0S43rHr1PlYMXIogoMScg1DjRyrLgTNerdN wNnFdgkpDoUu8KKvpOwKYFTXMiZODPcDFqf1OqHskgHTXmd1mqf4MUghyDqkN0C7KnZIJ2dcjH/O qqakg4tKvKmJKlXi7ZGTkO0CA9M0rWJdj129gjsNvmjOcbJgA0p1mufidF9kJRkEBrD1okFG6xpI htlRpZVRhALlARRmmNnnZAfNU+tVGG7qyrZebjI7H85y9zVr+O7ScQfesEWeIs1tVYE3TSz3FKNP tXWlHJ4po9bKXhUWEC3tRQFKEZIdkpRVLPloISgrWA6uOBU15GCEsIEyYCPaZSOE2IKXACK0wSIi V7GrWAyPs1k6YETZ/+IX6LQhmGtpPkDdiwlDUq3LZpPeiPnDATeRUOi3FWU2rmikJwr2H9M2vdtm PB777R7b4ihkyTZNjYx6FHyvNoCZwF0tBjIN8GLQ0DZopbNGW1Z1ukJOJIaiqsugXeyaBhnn8ay3 uAHmsr443YrjIpXmY5RllLa9JziEwVwNBI6XA6+tDemJ1JaIi0ZvT2oaNc2aVYidGvgAR4Wq46Ky XtZloIOc6Ea+IjaXGR22ZdKxpzeUMkEkMSYCDFXLqArUaN7wJi1m0/5eLCtxcNfDTYGHG+lTIpaQ oNw2GTr0ivzQHcG9JYqHTgFrTrVP22CBh0Ksgs8YgUPZpwvt63g/4scH0LAboXg9nR/OQt3sDAsI G3pVJHhrtCphuQTJpWvrr3+1ArdDzU4c9DKkJvVaq2h2MmiMkInSK5Mz2h2sxaG5jgUnEHPeFDsX G6+bBOyE2+q6RntYoQtwapG71d2OGl8v82Tg26qIe57WGiN0NjFoFaXO6dGNd4B3ixRgAuRa/loI vYA+q6fdNTZPg5YzFRLjcloaXbbKqpTc/cUyod46zHZd12WRdi1CC1jhSko6cinEpkJ5pDtEs7Dt rnU7UCUKNHAHY7COybcB5+RcGazg103pVL5ZSN8q2gHLfKhjuX5QtPx0YXt7GoyONdlHKPFBedr0 apQ2QfRDAFDs+EJIRer1hZ5kIZKxbXn4aGmtIahCnFtm5OKHjORalpudxXMNITgcVwxNq7Rl1IXY V88aSgTS6NMI1jF3XlQtLM8mQq//uASgwSn7MDKkzIkskjiJ05mtFds4GSu6jauh4v2i4h59vbC+ Fut0mwvhtXfhFj+c7/4Y8fP7y92x/7wuCk73gvVEvv0WLqALwcYM9HLdS5XVHVBCDFrYEaeq2NqA YFVfs7ZAFJnoneA3pR2hS8FQ4AQFupj1Kf0Y7kFPdyOJHFW334/SpHLErTcRowN/Qmpf5EFNRNRW B68MOyvGeSP4zW61dhubFFaXIIqqBCPtzwDbPW1voY/20olOesHXV22dFqzqTXl9fDy/HSFzNWFP kYLXX2fx11369r5QJT0/vn4nCqkKjt6AJEByL+pZWiJl2JyVduccwADAxXbvfJfGokZd5LXdNgEN zCwQsUyf7q9PL0crbqNClPHo7/zn69vxcVQ+jeIfp+f/hlvmu9PvYpEkzu3vo5BOBJif8bO4ueEl 0Oq7VyXnDHzWx6oISy/n2/u78+PQdyRevXocqn8sX47H17tbsbKvzi/Z1VAhn5EqC+X/LQ5DBfRw Enn1fvsgmjbYdhJ/mT0QuszUHU4Pp6c/nYI05UHoo9tDu4939pqgvugeFH5pvi2NSV5xgQhJGR8f QG42DU3/fLs7P+kF1vdXUsQtExLlVxajo0ujlpyJI4m6DNQEWOnUwE4xDcL5dAArJdEeThyBgcrD 67ZEYGazKZkr26aIwqBXaNVscSZ0Da+baD4LGFEZLyaTAStATWEcOIebIyhiS67r5JGitINmZEhn h8f93XJp+yJcYG28IMGIl2O4Uq1JLHh4lVtwdXMq28jgn8jSBcDaRB4kRKKF6l9burO+6ZHKWoVs LH0DFIlvk/DrXvwlDSZLvDTNXJDQb/XWA6N6raekKYOznhJYcsiDcNID4CiCBsht0UACbRttDSCp umdzDV4UzCP3nkD4thWY+B2Oe79x84S6IfaAGw/Rhg7T49YmzLfzXCcsQJmFhOqeoEw+AMAZhSxH elV+QD2HyClvDAU7ZM7q6nBwM/ERHhLEOvjNgSdz56erSykgrX5tDvHXjYdyZBVx4NvW1kXBZqFt m6gBeJgNsOe6y2ZTMqSewEShbQopAPPJxOup7hpOFzGfTNBrZCHTmlIWmwIz9e1u8JgFKOgvbzYR yiMIgAWb/McMX4Tmsiog/G3e2FJrMhvPvRpty5nnh/j3HO29mUojazGCmT+nuYBAOJ/OI+fTcEY9 SArEdOzWIiBtpu5KGWQPIa/oEZ3DIMTZN3V+R62HIdj4DyBDfZvNkaHSLIpmzqdz0lMWECHijLP5 HD8aJfOQzAcn+Gor9iAIG0iBhKxyYw/A1OMLmwMTWlXMjji+zsQpb837+oAiNNo3Xei7vIn9cOY5 AOQ1CgBbZFEANDhCzPDGpH05YDzHqFbBaBtMwPmkSg+YAGVDZoc5evwt4irwbSclAIQ4WxqA5mSK 3y3bzSLblL+REzOOvLgPCwi6kKOUdwrs+V6A9ogGjyPujamrffNZxJFxtwZPPT71p73yRFkebd6u 0LP5hH4OAHQhpMuDu9hsiiaPwwk5J811Ho6DsZgKe00J6BSgZol2ZWk94NCr669a68kEVqPUZKfC n1tIrQ4+Pwi1oSfvRMGUDpC+LuLQn9AtvJSlCvtxfJTxRpQlNq6hyZkQ6Nb6WKf2v6RIv5WXoDmd pJFOo7H725VGJAwxxTjmkYcuuzJ2BacgbRJc8NmYzKgN7clqyLnAV5V9gvOK2z/33yLN68x1kzsg VktA0EX3mypWad+y/XRvLNvBYk1lScPx/bSkpGRn7DLtoC/S8SVsD1m+LSYVvGuhGnJ1CcEr813X JtQ7QXC5uSXXT78IRzrD1dI4NOMOTks8/4UyH55Ht2pr0LLEZIxyrSWTYDrGvyP8O/Q9/Dt0znYB oV1pBGoy9+mEIhIXkPtEYMa4iVM/rF0BEcBRzwwXoefTQfvNyQzr2BISDZBOPZeUzLwFiBnO9Qqg IREkwLbSUWTbMMViohNmpz/jYWiLduJc9qb2zMFBPcUWusXUD8hsseIwndiplcU5Gc5sEzsAzH18 IonmjCMfB5lQ4Mlk5rmwGdKJNGzq+fbW/HDJdobo9++Pjya3oPWmCQMkkxOm+1W6dbaIDKjuhoV1 MUpZdnUmm6BT9JFRLWqQzkVy/L/349Pdz87U+V8QgCJJuE44al30y7vu27fzyz+SEyQo/e1d5/W6 yI8Tn7jUH/hOeej9uH09fskF2fF+lJ/Pz6O/i3ohk6pp16vVLruupZAjHaFZgGYeyc/+ajWXgPUf Dg9iX99/vpxf787PR23s23MxGGP2BCDk42tAUxfkYz53qHk4QYfuCiXlVb/dQ1jCHE60PDDuQ7Jj WqayjqjVTV3Sqn5R7YKx3RwNII8GVQyp70vU8HWARBO3AVmzCkyOMWdz9idEHdvH24e3H5YkZKAv b6P69u04Ks5Ppzc8f8s0DBHTkwCLqcHl57ivPwCMToVA1mch7SaqBr4/nu5Pbz+t1WU9+Ph0ao9k 3WAxaw0yPZkLGkVOhFjTje2g1nDfPkzVbzzFGoZO/XWzsz/jmZDjJvi3j+au10ttPyJYKwTJeTze vr6/HB+PQnJ+F6PW22Ph2OEJEkjexmjcbOJutxBLtJmzubLL5rKu+zK9vSjb4EPJoxnK5aEhTi4T A3Uvs4rDlDqJs+0eNttUbjZsP2YhcENtFN1avd9yXkwTfujtQw0nd7fBUYJf912AXgc/mFm7AJgY HDTFhl5OOxVLSGZU6DNhbahoT/dXsebRcc+SHVwR2Pw2D1DEBfFbMBz7MqtK+NzJtyNhczqvxtqb 4YMLIORdcVwEvhdhm4Bi0IleoOgYaQIxndr276vKZ9XYvkNQENGt8dh+O7gSWrynx6xnMprx3J+P PUr0xCQ+uliQMI9MD27fLdvzZMErlHjqK2eeb19f1lU9RqHWTEt6IeiaGmXdyfdiksMYdVTwb8Hk yXhiGmVdp21Lpp0Vuu/LqhHLgtq5lWi2PwYkGtjM88h8M4Cw3zB4swkCfC0vdthun3H3OsAIsTEP Qo+S/CXGfuQwA9aIaZpgtxcJIsOZAGaGY9AIUDgJqM7v+MSLfOv9cB9v83CMN5CCBdQq2aeFvLdB 5BJG5rzf51PPZujfxLSIwfdsLoQ5hvKLvf3+dHxTd94EL9lEc3RwbMbzOUo1o55gCrbakkDywUYi EPMUkABF+rC2AlCnTVmkTVoL0cz6qIiDiW/7F2keLMunxSvTpo/QhPTVmY8X8QQ93zoI9xhy0fRR ZKjqwo13gDEDurJD5Lg8khOspv794e30/HD807EyQHAtl9w9nJ6GFol9w7ON82xrzxUlZKuH07Yu m156FOvAJKqUjTHh80ZfwHny6V6opU9HrHaaVCf2ZZOFlqa19a5qDAFtHAS3VWAqCHlKKEp76YAJ IHW3RTdWH99PQjaWUWVun76/P4j/n8+vJ+lxTMi+8pAK26qkozD8SmlIjXs+vwkZ5EQ+PU/8GXUp kXDPCY4E1xThwDktcdHA04HA4BeLuArpMxYwHo47BSCH5yKcR/uGNVUOagqlQjmDQQ6UmD9bDs+L au6NaY0Mf6IuAF6OryD4ETx2UY2n4wIZgy2KyidFpSRfiwPAYoJJxYMBxilzj1iYytbssrjytCJn Rq7KPQ8d7AoywHU0ErPxKg9UGQbAJ/hJSP52npcVzH1dFtCADkOlefVwapVmEpK36OvKH0+tmr9V TAiZ0x4At88AHb7am9CLTP4EDt39eebBXEfpsY9jRKyXyvnP0yMoh7Cb70+vKjhAr0ApYWLpLkvA PSJr0naP7xkX3pA4XWXbgSiJS4hVQD6K8XppXwrwwxytQfHbybkOH9APjCAAQbwgUqKZBPn44EZq +GR4/g1H/vmAb4708XfTxP+aj786qY6Pz3AjSG57yc/HTJxBaWHngGlifx65TDYrVNLzMi53w1mR 9L7HBRb5YT6eeqELwRfRTSEUJcpUQCKsi+hGHHX2kpO/bSkXboO8aIJiXFADcal721DZDvZFCrkV jLIrfupE8X0bQSCN2dyLDyHqFMAboVSE1LkCyCXbpKiC8+3LPVV+BtRCeZ3Y1D2TRVSxG3P4suGu +3FHs/pqdPfj9IzC0RhJyMV1K6hi8UaPkTk3SlYn4qCLM98VJGVOtKwq4wZnb73s95SnjfH4yXHj FV9a34z4+2+v0gz0Mjo6F1gr0FZD4qLdlFsGJoY+RokfbXVgrR9ti3bN7Zy5CAVf2l0AZFzFrBpI jwF4ZVeRmlwJhmOghnf04IMkirPvk6TTF6ty827XQyBRMslTgfrqZB+3RJF+3J7q+AKB+iTHelT3 odScf0TW3QEwHM2P8TYeTpYR9prSD8qxTeoyQ0K7BrWLDHzEXfeqwSAdiZ2wCLxUFKArVoPajROD 1zCEPQoTJX92kXetDss8o20Kpvj9LbW+Hr293N7J09V1t+MN8sMSP5W/UbtgYj1SB15HAXFB7ISH AmEesVB5vNzVQscREF6SDNsiIsJwW9hlUxsvQLQcmzU5F0S/u4vXys4Qr91JKphWZ70DYVus6o7G eeR28fG+IpDavMR9izHogsXrQ+kPvg9LwkWdJSvaWkLikyXNzJqUGnM7rssC52PiWUm9FvA8KxCH BYByt4ibuucnXcfKIZR0YdoBATrYS96Qc+icLOoF8wSBfCQLs46mJBajmLbXZZ3oUODWfZNKQCpW EAeTPm7bJAOo5BkkH7dMbdMDuAfhbWZg7QJ8o9qSdJ+HEIUt4DM7A1kh2AekNrgZwItC021c31Q4 7x8CiyW2wlnZOeRmHUjEzrsgh2Z8XECmAPJ4tqpk/eiIV7uyoX2y2a4plzxsSf8mhWydVPKiOpq8 FJ3J2Q1KaHuBQZI9lZ4+sRPGUQQsv2ZibS/F2V1eo+vZCzFwcWqVWyQHMUCyD2RtRdqwuKxujBgU 3979sOOkL7lcj3i+1BKFpBq0umYo1hlvylXN6DjLhmo4QoKhKBdwJAs1aGB36Uar8/j1+H5/Hv0u Nldvb10SDV9kEABtXCspGyn4S9zYfr8ArBjEnyy3GcrzIVHxOsuT2jaPUF9AjjbIDqZykVywm7Te ogTHOCC9ENdxiyXgstdpCR/mnTUNzhK3W6VNviAXrTiPpWNyitzru2xmq2wFvveq3xe8+mP2hmEv y2wvdFbdaCP+9GelqzrjKiKqihKA+lrWEOhTVkAukFQyFXoffl0uuY9aZiA6T9P4Uk6HuRZ8KFWP cmSFipAL+YDVFL/qCjKj78IJHt3heBrvavR6rVAQVwGuRoB5lpKH9jr1TT0xOu3Mv9HhNhVWXqkO 9qHeLezcu7olRZlA3Nlt2q9M4ao6K11eThJC1uRPiZZsL0Qmpxvm6F9kzsozEKHn79k2ThM1cgSB KJGAfkPvtBcwt9OtKDCDsbO8b91vepuvw5hJpsX6rge7Zp3CjhtKNx4Lror5goJAbhhaGSyL3j4y /MkJF6B+g0dvDsKGWX6IbSoSMY4dmlaNDV34q3Tr+Jcoo9An6TAVTJ3dfowdRLg9tzKsu+1ANRi6 4Qb9f2VHthw3jnvfr3DlabcqmfGZOFvlB7aOlsa6rMPd7RdVx+44XYmP6rZ3kv36BUAdPEA5+zDj NACRIgWCAAgCVovv7jZff6xfNu+slhlDwyTBu8DuvgYzQwcDmyga5SxfVqGxJ2ZBjanTVKHM2XTq QTf8GIe03T+dn599/nD0TkV7sKBp2zw9+aQ/OGA+nWhHCDruE3ekqpGc69EJBo53lhpE/Cm0QcRd w9BJ1LgbA3PkxBw7MSdOzKkTc+aeCkdUvkHEJZnXSD6ffHT2YVyH4B93DVje9nG8F1ucBknABESu a8+dzx4dOy5pmFT8QRRSUfZyJ7Z/BffzPYWbGXsKvv6LSnH6JoVrxfT4j/oH6MGfePBnHnx04oCf OuAWZ17m8XnL61sDmk/3gOhUeLi5CW6X7PFekNSqW3KEgwXflDmDKXPYetW6wgNmVcZJEnvmKBA3 F0HCupsGgjLQa533iBheka/sNVBkTVzbr0NDly9qNVo35SVfuBUpmjrU1oqfcK67JotxaWi6jASB HlimIolvSEcZig6wFprm65B3PTa3rzs887FKJFwGK808WqFNfIWJ7lvLFi2CsgKrED4jEpZxNue2 qpnVaueOABXR6q31I9Cyg1IYijaiyKfQKWVaMInU6Vo/DSryu9dl7GnqAqf2GShVlSVJRNkYcd0k QvenUEogyoqUwQjQ8YEmfIsZ+r2u8uRo9ZlknJcFlFh0oUj/pOqzFGj04ZOojkdBUqg+FhaNxe6i i3d/7r9sH/983W92D093mw/fNj+eNztFyYlTIQceUGEePOTCou140z/POQWqzy8zzrV6VSOp0ot3 GLN/9/T34/tf64f1+x9P67vn7eP7/frrBtrZ3r3HbGr3yHPvvzx/fSfZ8HKze9z8OPi23t1t6OB2 ZMd/jKV4D7aPWwz23P53rd8c8Dyyj9G90qLVG2exlisxxqS8eKhj2kwKSrApAImAvGXwUZWyiVYj mDADpIqjsuIYA8QPpEe752G4WWUu2NEUgZWUDw6k3a/nl6eD26fd5uBpdyA/vDJhRIw+QC2bkQY+ tuGB8FmgTVpdenERqWxqIOxHIlmX2AbapKXq7RxhLKFiNRgv7nwT4Xr5y6KwqQFot4AWhk0Ke4SY M+12cPsB3ZuqU7d+XJFoohozFtU8PDo+T5vEQmRNwgO1U8EOXtBf1vIlPP1hmIIMZ49p0NybDO6I U7uxedLgWQ6JtaVap6nDD5lOpOfx9cuP7e2H75tfB7e0CO536+dvvyzeLythteTbDBiomcIGGEtY +kyTICavg+Ozs6PPE6huWPL48PXlGwY53YI5encQPNIgMNrs7+3LtwOx3z/dbgnlr1/W1qg8L2Um fe5xOkX/SATbuTg+LPJkpedLH1b4PMZSZk4E/KPK4raqAo6FquAq5mt1DjMXCZChGo1MOUXXv3Dn 2tsDnXHc5YXcCXaPrO215DErJ1CT7XSwpFxYsDycsStmxudfJOyS6Q9UmkUpbCGSRc5PMqJcs65Q iOslF2zUf0Qf1Na64dgGnZ32V4nW+2+uj5IKe7VEEmg2vpycp2v5UB8wuNm/2J2V3smx3Z0Ey7Nc jkMQPcWNRABfMQHZOfEdl+x2NUvEZXBss4+E25++g3frn3mV+ujQj7lc7/3KZl/DyTcDT2DW/I+n TJ+pz+aJ7JF2k2kMy5fSz9rfokx9Tm4gWPXNjODjM24eAMHXyeglTCSOOMEDYFgeVcBeahlooE9J xTdxdnT8e43Yqg49zLc61Vp6YjdVg245y22tp56XMs+N2ceigL7f4JuWmLzN4mG1SN1x+/xNz8TZ i3ubgQEmk+OZ/SOib3hC+GTNLGZaLT2ON2dJvghjR903g6bj8MmVLjBDbCwmdoyOYlwuDrzcAEHQ /j7lsZsUTWwj24OCs5cgQad7r2qbPwk69ZjPfHCAnbSBH7ieCemvvcdF4kb43FrA1P9Ti7tXT+zX 7xBuWVYFAefKGbBlIVPG2c8RhrZWho944ol5VEiOJ942neilDmzVsl7kyOku+MhDlg7eEby9RHTK 9mQh+BMzg3ycC0t78J4enjHCW7ffe96iAx9b+brJmVGcn07It+TG/gx0rGVBu3NFGd68frx7ejjI Xh++bHZ93gHuTUVWxa1XcHaoX87mRqlHFePQhiTOVdNSJQIt1j1spLD6/SvGkj8Bxp8WKwuLJmbL eQF6BG+YD1jF0jffd6ApHaHwJh36EqYIrVgXQ9PEPS3OQtML8mP7Zbfe/TrYPb2+bB8ZvRXvAHO7 G8HlXmRtUJH0/9H1YYd2p+D6aN4pmjd6kfKObUCiJvtwPG104TZWdfR0V9OtcLsKwgfdtMSghIuj o8lXdaq4WlNTrznZwptGMRI59L7INhUxMLcQPkbqcYt/xCIbTooAhRS6n5AEQCjq1EztaWGlf4Pr RuJxjIenfLyeQux5bCmEkeBK2EpBB2/96Pzz2U/G0dITeF3NaAf247Eb2bd9HU63PoWH9q9Dxyxl MYjVZetl2dnZkk3yP9Iq+cJtJNYdWvL1m9SPkib5PPba+ZIzbg2KiZg+Ua3SNMDzETpRqVeFnZ/M w9QKX8kRtT/4ipHy2/tHednk9tvm9vv28V4J/aYIBRRlWEOiGg6Cxlm1KEhc47+wPPQYRfgbvfZN zuJMlCuMdsrq8GJI3+CS9kmcBaJsKZpNj6MRFEHLnlmB5YUFnxWtpL+YAUZZ5hWrNizz1PDUqiRJ kDmwWVBTNZPKRoVx5sP/SpimmXqW4eWlr93sKDECKmvSmVaUWh6bicRuGGtLx3mqupt6lAEmeYvx tV5aLL1oTnHGZRAaFHjwEqLJQgWCiiRWRzq0AewGSlPW3UzWNgAPhAdoKBroyHADeO2EIwTevG5a vYGTY+PncDBqNIyYJPaC2Yq7zKQRnDKPinIBGqtDOiIFfD2+Xd1O0HUMTwvAga1GOrX4hhT/iumV Ak7381QffIfCKDvUlXSF+0Zu0AZUjS/ToX7AwU9ZajWmTKfmWnHEjBGYo1/eINj8bTrWOihdUWLL 5HQEsVA/TwcUanWrEVZHsPqYTrA87kQXM+8vqzX9E43DbOc3ccEiZoA4ZjHJjZobXkEsbxz0yoh7 kaCeZfc8RbW08iTX/BMqFI/1zx0o6HACpRY5n3mR9oMi8WrKoZyqCSbw8se1SFr0kCkTKspSrKRM UsRRVeVeDCIIlEgiGFEoxkAAqvejJAhDS1tNMCJcS7yf0TAo3XkL0n5eRwYOEdAE2S9mYDfihO+X bQ3msibrq0Wc14niTEZSjzqWfvHN1/Xrjxe8HvuyvX99et0fPMjj5fVusz7AXHP/VkwdPOoHxbpN Zyvgs4tDC1EEJUbiYGy5EpQ9oCt08tKzvLhT6cam3qZNYzayViNR770hRiTxPEvRe3OuRM4ggqv1 2M/nPJEMrXAPVbkxIyq8KED1GroQdaOVeiqaVFSXbR6GFDSgYdpS4xL/St19k3ym/2JEcpbo0epe coPBJ6powcI6WEeSuztQxFrgNF4vxKKNoIIobN54GDhf65oZGVX9kr/2K7X8dwedBzXGWuehry4a 9ZmWYrHVrT3M0YdmBmcT9PynutQJhMEbskQfo2AUeFNRc1IAwCxJOVA38sZWGyZNFfXBSi6i1EPN 2yCgr7sQal0wAvlBkesBRTSV01FXlkKqh7z0ijRBn3fbx5fv8gb+w2Z/b8dlkbJ7SbOtqbAS7Anz ivGgOFIcMyhx8wQU2mQIi/jkpLhq4qC+OB1nvKowHspqYaDAmKH+RfwgUTnFX2UCyxrKOx882Cpj AErjLAfdqw3KEui4WxLyQfjvGkstV1pRR+dcDo7I7Y/Nh5ftQ2dZ7In0VsJ39szLvjr/kgXDG2ON F2g+bgVbgWbMB1QNJP5ClKG6CfsgJbwyLmotZI5iPtIGDwlQTinLCKttt9BIdgEm+7nOpAVsfnjZ N+WldxkInxoGKpYgAgIs3EIFQFkBJEdSwQLGOMQ0rlJRq3u4iaE3bfMsWZlDKPLYvNIpY7S6m5f8 XQzZf5jj3d5FIC6pxgzIZZUlfvuj/0Ot49YtVX/z5fX+HqOy4sf9y+4Vcw0q7JEKNLvByi2vFDE1 AofQMPkJLw5/Ho3jU+lkTgH3CCtDcpPEugRuUScMf3O3KAfxN6tEBvZLFte4ywo1JohwamOSuC4F XwRaomdY5Yzzzko0XjCz21RfYKLtYb9naVDySkJW/v7WZ9TnGG8D6uEDEo6DsPwkXUzf0K4iq1Fe Bssas8znmd0c4kkj4a6P4LP5IlMVE4LB6sCywOoGrsPbLJfzunJS3ARlzr8OSIKQnWRJUuaw/oQr imvgLkm8WNp9LDgf2eCcqP1GzbEifxuX6DugVVNUti8vqVZ2xx3CsVWzpBjQ+RtklBONrzevkuFl HvdrlV5DMvbNZlC1BmVzvPbOUnXbRL9FD770Kmlm8hjFECId34NalYDsNJt9C47qGLBXnrTSd//x 8PDQHOlA62Aeg2oIpA1De9YGKgr5rTxz5etbEu0dTWVYI/2MwC7qdzRB5pubqsHS1zDMOUWE2y91 ze+c5oNvrxv0Ezeq884Em1KJCstRHLJzXrvNEM1Qfv8QlTBj20cExmPpllMXci2x9jGLisXabWJe WVhcEFJcjbsAGMLGHUdqgxlW1zaZYYdWgPUojC1uiDDxjynDif4gf3revz/ANO+vz1IxiNaP96ry LbAeO14AztVp1MCopTTBuOQkkqynph7NbvSmNijGaliwqoOlysPaiUQVm1wgKhn18Ds05qvhrQSj K2SUUOWDgUJaxTgOmPS0YGmUFx6mfXwdhZBeh/O3O4m7d9fECnbWRg3wUA1mObv6FlegZ4K26eec S4A0B9mLqiZOc4O8OAPa490rqozMvi9lSm/rjEosgpl8DX1oP9Okyb04/ZdBYCaXkwcfGC07ajf/ 3D9vHzGCFgbx8Pqy+bmBf2xebv/4449/KWcieJJIbc/JkB3MdcWyzK+HJCPsHMvTSBiXU/qgC62p g2Vg7dd9cWgT7iBfLCQGNrJ8QXdcLGlYLir+qqxEy1NWXZghDEx7u60O4WwMK8+j3p4ErqdxUilM olM7ePOLXgrWDbqbrP1x5OVh8JPuhv+DDYZ1gHeU0bsUJpqkJvFqXGAmsw0msG0yDLACRpfHDMwu LbURh7D9LtXxu/XL+gD18Fs847PMbTofNJig6ICmZOdWuETJG2PaERlpS1lL6iwomJi2ttfRNSng eE29fQ+Mf0wUINOOy1gir+FEg/qRFUc4aH8oeFvzhAoRLr5QSHBnJ7t82GeOj4xG8CPypj9gg6uK OyzuczJqQzEW5FVncpe9sd1v8vBKEQjzRGpgdI+fUuCpw8Nzpsxb1Tm3xCgsaORA25WYUf5gQJUX uuISNpn0NUxj52DQRjxN75gyb+8zyHYR1xG6Wi2VmiHrkgqhm84k78hS0uyhPTzqNUgwCQ59ZKQk L4nVCIZ5rQyg17Ummx6RcuToXW+NYcpX8XTBTJ5OswIwVRIies0ixW8Nhi+eYaCrx5xjpSmSxQsg VJ3nBVheKSzI8oofq9Vfb0GaHXWEjBvayv6Gqgf5sLtnuBuaLr5ysdQooTRemGoatlvM+KBf8MTd wegS5gbUu5DpS2ofEs778haJqBmCDp2mcW7wQ8ebHf9VFgtVGZgVUW7zVo8Y7A/9O8tmZ7CBAJPI kcvPOn4VFSeT3nDOkg7dhRjg/VV6Tg/z6NpyDryBZmaBVRxrVoQWrP+eJpxvoedC7YCoWmUgEExS TNbVJzzXE07RVMnlZifHVIlosbQzEKxRKnSfg7ruBgLep9Z1JxI6ucTZZel6zqgFbFKFW3dRe36T eOBAN4kiIeiowU2pzDOKCdc2qk28rbujFhz7QZtHXnx08vmUThtNi3vsU2AtNU4JVQxrz7a4CUZh D50IGM1gjzeDFdcBpfOMKylQgyGo+ef5R1YR0VQ+W0Bi/HZ3qEKisdEU3ECUSRd4xfNPEMbo8MAk nm71GfOg4Rmd2rI8knWd4dIsjezBvjUGNWBWVfuEFSvnEbMcLvWCyQoi4COQB4qG/kzTOKRUd1hF p2R9GMN4Jl6IiXg9+Sht7m4lN42ZMcsZoYOD7iyk5+gG762jBTPRb5MtZIranI1lGdD2wU2nO+rc p5581pv9CxooaFh7T//Z7Nb3SrmJy0be4R8XAL1u5/Vl31VSOJa3RAZLWpiWmi2xpFo5bbTehsDT SCrJ8Zc80OI2c/JcDhTKPiripEr0M32ESde7dRSg04Ro+73dm3pMpDeQpl6fw4M7IZZeORAzXn7d iYdCMZJL0B1JPYLHaTOTdxxGXf7Sr3kPqPSyoHytYLG6SdI4Qx84f8hEFM7nZ6OVACtgYhuaYZzQ BF6NSHJSaUFHE3uUdNW7DkvId/DxlI1MpNFGwdIUn8Z0yOgDGb/C7TY9VeUVK6v5S0DUbHZeQg9R tSpwFtdSidGbAjAsjYQXnfJ4roknsDJcy43HVKkh7GpuihIjHy3/ujGfrvs1hI19Pspdcu/lBGvD 6I30vTq+c55PTA5aumZWGKOPgj+Wk0iMqY5yOvDhr9pTPDG8J6/1qW2FcZkuhB6IIdmIMrByJyiE UMSv4lijSHAWoYRiW+JYTop7o+3YmvLeYOYgN5F2cjIheYLUA5NocqlRjLhD3+sbcRzBAGYYop7p hd8ErXQwMkbof3uRHDaaMgIA --===============6910209582238030716==--