From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id CC566C433E0 for ; Fri, 19 Mar 2021 17:46:14 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id A019561983 for ; Fri, 19 Mar 2021 17:46:14 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S230057AbhCSRpm (ORCPT ); Fri, 19 Mar 2021 13:45:42 -0400 Received: from mga18.intel.com ([134.134.136.126]:3380 "EHLO mga18.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S230215AbhCSRpU (ORCPT ); Fri, 19 Mar 2021 13:45:20 -0400 IronPort-SDR: ebKb3HgCVunrysHvflfqAkFkOilFc/2u8RdgtfKInwMEAFbP0BjBJZYQl3Byl8kWeEKTOe1jJs MO/oEb0llL4w== X-IronPort-AV: E=McAfee;i="6000,8403,9928"; a="177523793" X-IronPort-AV: E=Sophos;i="5.81,262,1610438400"; d="gz'50?scan'50,208,50";a="177523793" Received: from orsmga008.jf.intel.com ([10.7.209.65]) by orsmga106.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 19 Mar 2021 10:45:19 -0700 IronPort-SDR: 7zelS5bUVccSlILD69Gk879vf45NJFInuKf0SguW9AMsnQVOWmfcMgSSnCl25+7rxEouKsqiQ0 qhGyrs6VmkiQ== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.81,262,1610438400"; d="gz'50?scan'50,208,50";a="413599353" Received: from lkp-server02.sh.intel.com (HELO 1c294c63cb86) ([10.239.97.151]) by orsmga008.jf.intel.com with ESMTP; 19 Mar 2021 10:45:17 -0700 Received: from kbuild by 1c294c63cb86 with local (Exim 4.92) (envelope-from ) id 1lNJBU-0001xZ-Gi; Fri, 19 Mar 2021 17:45:16 +0000 Date: Sat, 20 Mar 2021 01:45:09 +0800 From: kernel test robot To: Dario Pagani Cc: kbuild-all@lists.01.org, linux-input@vger.kernel.org, Jiri Kosina , Kim Kuparinen Subject: [hid:for-5.13/thrustmaster 1/1] drivers/hid/hid-thrustmaster.c:62: warning: wrong kernel-doc identifier on line: Message-ID: <202103200103.vmRo7ISm-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="OXfL5xGRrasGEqWY" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-input@vger.kernel.org --OXfL5xGRrasGEqWY Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/hid/hid.git for-5.13/thrustmaster head: c49c33637802a2c6957a78119eb8be3b055dd9e9 commit: c49c33637802a2c6957a78119eb8be3b055dd9e9 [1/1] HID: support for initialization of some Thrustmaster wheels config: nios2-randconfig-s032-20210318 (attached as .config) compiler: nios2-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.3-277-gc089cd2d-dirty # https://git.kernel.org/pub/scm/linux/kernel/git/hid/hid.git/commit/?id=c49c33637802a2c6957a78119eb8be3b055dd9e9 git remote add hid https://git.kernel.org/pub/scm/linux/kernel/git/hid/hid.git git fetch --no-tags hid for-5.13/thrustmaster git checkout c49c33637802a2c6957a78119eb8be3b055dd9e9 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=nios2 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): drivers/hid/hid-thrustmaster.c:23: warning: Incorrect use of kernel-doc format: * These interrupts are used to prevent a nasty crash when initializing the drivers/hid/hid-thrustmaster.c:26: warning: cannot understand function prototype: 'const u8 setup_0[] = ' drivers/hid/hid-thrustmaster.c:49: warning: cannot understand function prototype: 'struct tm_wheel_info ' >> drivers/hid/hid-thrustmaster.c:62: warning: wrong kernel-doc identifier on line: * Known wheels. drivers/hid/hid-thrustmaster.c:84: warning: cannot understand function prototype: 'struct __packed tm_wheel_response ' drivers/hid/hid-thrustmaster.c:143: warning: wrong kernel-doc identifier on line: * On some setups initializing the T300RS crashes the kernel, drivers/hid/hid-thrustmaster.c:202: warning: Function parameter or member 'urb' not described in 'thrustmaster_model_handler' >> drivers/hid/hid-thrustmaster.c:202: warning: expecting prototype for Called by the USB subsystem when the wheel responses to our request(). Prototype was for thrustmaster_model_handler() instead drivers/hid/hid-thrustmaster.c:265: warning: wrong kernel-doc identifier on line: * Function called by HID when a hid Thrustmaster FFB wheel is connected to the host. vim +62 drivers/hid/hid-thrustmaster.c 60 61 /** > 62 * Known wheels. 63 * Note: TMX does not work as it requires 2 control packets 64 */ 65 static const struct tm_wheel_info tm_wheels_infos[] = { 66 {0x0306, 0x0006, "Thrustmaster T150RS"}, 67 {0x0206, 0x0005, "Thrustmaster T300RS"}, 68 {0x0204, 0x0005, "Thrustmaster T300 Ferrari Alcantara Edition"}, 69 {0x0002, 0x0002, "Thrustmaster T500RS"} 70 //{0x0407, 0x0001, "Thrustmaster TMX"} 71 }; 72 73 static const uint8_t tm_wheels_infos_length = 4; 74 75 /** 76 * This structs contains (in little endian) the response data 77 * of the wheel to the request 73 78 * 79 * A sufficient research to understand what each field does is not 80 * beign conducted yet. The position and meaning of fields are a 81 * just a very optimistic guess based on instinct.... 82 */ 83 struct __packed tm_wheel_response 84 { 85 /** 86 * Seems to be the type of packet 87 * - 0x0049 if is data.a (15 bytes) 88 * - 0x0047 if is data.b (7 bytes) 89 */ 90 uint16_t type; 91 92 union { 93 struct __packed { 94 uint16_t field0; 95 uint16_t field1; 96 /** 97 * Seems to be the model code of the wheel 98 * Read table thrustmaster_wheels to values 99 */ 100 uint16_t model; 101 102 uint16_t field2; 103 uint16_t field3; 104 uint16_t field4; 105 uint16_t field5; 106 } a; 107 struct __packed { 108 uint16_t field0; 109 uint16_t field1; 110 uint16_t model; 111 } b; 112 } data; 113 }; 114 115 struct tm_wheel { 116 struct usb_device *usb_dev; 117 struct urb *urb; 118 119 struct usb_ctrlrequest *model_request; 120 struct tm_wheel_response *response; 121 122 struct usb_ctrlrequest *change_request; 123 }; 124 125 /** The control packet to send to wheel */ 126 static const struct usb_ctrlrequest model_request = { 127 .bRequestType = 0xc1, 128 .bRequest = 73, 129 .wValue = 0, 130 .wIndex = 0, 131 .wLength = cpu_to_le16(0x0010) 132 }; 133 134 static const struct usb_ctrlrequest change_request = { 135 .bRequestType = 0x41, 136 .bRequest = 83, 137 .wValue = 0, // Will be filled by the driver 138 .wIndex = 0, 139 .wLength = 0 140 }; 141 142 /** 143 * On some setups initializing the T300RS crashes the kernel, 144 * these interrupts fix that particular issue. So far they haven't caused any 145 * adverse effects in other wheels. 146 */ 147 static void thrustmaster_interrupts(struct hid_device *hdev) 148 { 149 int ret, trans, i, b_ep; 150 u8 *send_buf = kmalloc(256, GFP_KERNEL); 151 struct usb_host_endpoint *ep; 152 struct device *dev = &hdev->dev; 153 struct usb_interface *usbif = to_usb_interface(dev->parent); 154 struct usb_device *usbdev = interface_to_usbdev(usbif); 155 156 if (!send_buf) { 157 hid_err(hdev, "failed allocating send buffer\n"); 158 return; 159 } 160 161 ep = &usbif->cur_altsetting->endpoint[1]; 162 b_ep = ep->desc.bEndpointAddress; 163 164 for (i = 0; i < ARRAY_SIZE(setup_arr); ++i) { 165 memcpy(send_buf, setup_arr[i], setup_arr_sizes[i]); 166 167 ret = usb_interrupt_msg(usbdev, 168 usb_sndintpipe(usbdev, b_ep), 169 send_buf, 170 setup_arr_sizes[i], 171 &trans, 172 USB_CTRL_SET_TIMEOUT); 173 174 if (ret) { 175 hid_err(hdev, "setup data couldn't be sent\n"); 176 return; 177 } 178 } 179 180 kfree(send_buf); 181 } 182 183 static void thrustmaster_change_handler(struct urb *urb) 184 { 185 struct hid_device *hdev = urb->context; 186 187 // The wheel seems to kill himself before answering the host and therefore is violating the USB protocol... 188 if (urb->status == 0 || urb->status == -EPROTO || urb->status == -EPIPE) 189 hid_info(hdev, "Success?! The wheel should have been initialized!\n"); 190 else 191 hid_warn(hdev, "URB to change wheel mode seems to have failed with error %d\n", urb->status); 192 } 193 194 /** 195 * Called by the USB subsystem when the wheel responses to our request 196 * to get [what it seems to be] the wheel's model. 197 * 198 * If the model id is recognized then we send an opportune USB CONTROL REQUEST 199 * to switch the wheel to its full capabilities 200 */ 201 static void thrustmaster_model_handler(struct urb *urb) > 202 { 203 struct hid_device *hdev = urb->context; 204 struct tm_wheel *tm_wheel = hid_get_drvdata(hdev); 205 uint16_t model = 0; 206 int i, ret; 207 const struct tm_wheel_info *twi = 0; 208 209 if (urb->status) { 210 hid_err(hdev, "URB to get model id failed with error %d\n", urb->status); 211 return; 212 } 213 214 if (tm_wheel->response->type == cpu_to_le16(0x49)) 215 model = le16_to_cpu(tm_wheel->response->data.a.model); 216 else if (tm_wheel->response->type == cpu_to_le16(0x47)) 217 model = le16_to_cpu(tm_wheel->response->data.b.model); 218 else { 219 hid_err(hdev, "Unknown packet type 0x%x, unable to proceed further with wheel init\n", tm_wheel->response->type); 220 return; 221 } 222 223 for (i = 0; i < tm_wheels_infos_length && !twi; i++) 224 if (tm_wheels_infos[i].wheel_type == model) 225 twi = tm_wheels_infos + i; 226 227 if (twi) 228 hid_info(hdev, "Wheel with model id 0x%x is a %s\n", model, twi->wheel_name); 229 else { 230 hid_err(hdev, "Unknown wheel's model id 0x%x, unable to proceed further with wheel init\n", model); 231 return; 232 } 233 234 tm_wheel->change_request->wValue = cpu_to_le16(twi->switch_value); 235 usb_fill_control_urb( 236 tm_wheel->urb, 237 tm_wheel->usb_dev, 238 usb_sndctrlpipe(tm_wheel->usb_dev, 0), 239 (char *)tm_wheel->change_request, 240 0, 0, // We do not expect any response from the wheel 241 thrustmaster_change_handler, 242 hdev 243 ); 244 245 ret = usb_submit_urb(tm_wheel->urb, GFP_ATOMIC); 246 if (ret) 247 hid_err(hdev, "Error %d while submitting the change URB. I am unable to initialize this wheel...\n", ret); 248 } 249 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --OXfL5xGRrasGEqWY Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICILLVGAAAy5jb25maWcAlDxdc+O2ru/9FZ7tS/vQNh+7vt17Jw+URFk81ldIykn2RePN ettMk3gndnq7//4CpD5ICnJ6z8yZrQEQBAEQBEAqP/7w44K9HvdP2+PD/fbx8fvij93z7mV7 3H1ZfH143P3PIqkWZaUXPBH6VyDOH55f//nt+WF/uFh8+PX8/NezxXr38rx7XMT7568Pf7zC 2If98w8//hBXZSpWbRy3Gy6VqMpW81t99c6M/eUR+fzyx/394qdVHP+8+Pjr5a9n75xBQrWA uPreg1Yjo6uPZ5dnZz0iTwb4xeX7M/O/gU/OytWAHoc4Y86cOTOmWqaKdlXpapzZQYgyFyV3 UFWptGxiXUk1QoW8bm8quQYI6OHHxcqo9HFx2B1fv42aiWS15mULilFF7YwuhW55uWmZBElF IfTV5cU4YVGLnIMqlR6H5FXM8n5B7wYtRo2AhSqWaweY8JQ1uTbTEOCsUrpkBb9699Pz/nn3 80DAZJy1ZdWqG+YIq+7URtTxBID/xjoH+I+LDlNXSty2xXXDG754OCye90fUyEhwwzRMMcH3 K5eVUm3Bi0retUxrFmfjrI3iuYjc2VgDDuuyMZYAyywOr58P3w/H3dNoiRUvuRSxMVwtq8ix sItSWXVDY0T5Hx5r1D6JjjNR++6RVAUTpQ9ToqCI2kxwidq/87EpU5pXYkSDl5ZJzl1PVDWT iiM5LVjCo2aVKqO43fOXxf5roKJwUAyutuYbXmrVe7d+eNq9HCi1ahGvwb056M1x1uxTWwOv KhGxazBwLcAIWADpHAZNuEUmVlkruYLJCrv0YSUTwRxflJwXtQauJT1dT7Cp8qbUTN4RU3c0 48r6QXEFYyZg6x1GZXHd/Ka3h78WRxBxsQVxD8ft8bDY3t/vX5+PD89/BEqEAS2LDV9Rrly1 RSpBl405bA6g0ORqNFNrpZlW1CqUcERVYogEiVAsynniqvRfCD7sVxBZqCpn7sJl3CwU4Sig oRZwU1V6QPjR8ltwHke5yqMwjAIQrt0M7XyYQE1ATcIpuJYs5lOZQLV5jqG5cAMAYkrOIQDz VRzlwg3YiEtZWTVubB+Bbc5ZeuUhoqoKGRgQmCtnd1cf4MwbzG1mruIIbTDvD+NqYP+wpC0i n7YzuW+ykYdY2/8gXEqsM2DoBaK8wuMohRAqUn11/l+jnUWp13BGpTykubQuo+7/3H15fdy9 LL7utsfXl93BgDvpCOzggCtZNbUjQ81W3O5NLkconCjxKvjZruGfERbl646bc/Kb3+2NFJpH LF5PMCrOzN7poCkTsiUxcaraCCL3jUi0c6RJHZAPmu8mqEWiSOt2eJkUjDpHLTaFnfLJ1UMH T/hGxHwCBk/C6EKQwwEyQjFzgDMHopErcKNVW9KyYqpQUmEJTnQJGMd6IvF+l1zb3+O6Mx6v 6wocCg8ESMmoNMJoE7IDXfUGHcZDygKmSDjEnphpnpACS9xuJAa9BLRnEitJD4Ydi6fDzLaB PLOCY6IQn3ibVhJPSfinYKWxx7jMgEzBf1AL7ROwfu46dbnYOEqMKyD2C9S+l9OBYpAhxDnH pW2+4ZjIZHjDQextcUcQ12F4noJCpMMkYpCwpI03UQOVQ/AT/MHhUlcuvRKrkuWps8eMTC7A pDAuQGXelmfCKQBE1TbSnrs9OtkIELNTibNYYBIxKYWrvjWS3BWer/awFv4ljDCgjTbQ57TY eF4A5uynJ10NLWjO8ZR2RZCTJ4nv5CawdtVcvXv5un952j7f7xb8790zHPIMQm6MxzxkVW4M /pcj+rVtCqv9PhT7exjqG6ahNFpTLp0zL8dXeRORi0NCMIWEeN9lMzPcTBjEo7mV4MuV4wA+ NmMygezBC8Mqa9IUSjFzrIAZoAaDmEPvRM2LNmGaYdUpUhH3SZGTb1apgNpyRZ7BfgE5REBR qYtpXh+rpphCsxsOmbImyBlUThLiXZdJjAG2AsevKziHClPxud7hHMVjVn9+duYuCSAXH85I +wAKCvg5FPA5ozL9T1fnY2Vv43gmMT12QkMlIaUp2G37CTL7Cowmr87PJ6465gq4pvpxe0TP Xey/YesCF2Xgxe5p//IdRcDE1lmrUTxudbM9r87+Oev+Z8clu78fYA8cX3a7cEyiI6hd2zq7 g52fJE6QGPEj8uyf+MzvZ4xUqmpwqXCi5BQTi8b63ohUPuwPCyEWD8+H48vrfb9Mb5gp8CUc /6aLcO6UXgad3eDR0KqmRp8g7OOS3fZ0oWyATsTGwQazpFA1vDVFLLAJEc1N0aPL6qozSLyF LJGwY9xAllDADgBfgixdY22lJtrs0HDKgkF+n9jCorEt1NNcBCTC44DePTrkxPesR77s73eH w/5lcfz+zdZZ0x1XFE4ZUkpM0dTUbLC7V2WB4RbS/XoS7aM9/Br9vldMkZgF+d7VQZ2mUU9n tt3UmDWDorSjmbWmyYmAYt1WaQpGMNvpg/X6UU0nFGLWwb78jQfPl7DHBgc15k+JSZkqP1+0 86+5LHmO2gTnX2Gb0py5uPRZmekx1j16yakB/98JfOb3ZDCA5CRkG7qwTwKcdqOYnYID/Xlt y+3L/Z8Px909qvuXL7tvMAROd8JrJFNZkM2BQdvU2VMZ23AbaUz1mVWVE70NHFutULmYkU1p tk4SkFxeREKju7TO5kdjrJjOsGyo8DhfOWLkujK9Hoe8SpqcK8yTTBKKOZaTs6409j6gDt9w SO+89ivEbysAJpXO7qix6G55Cse7wP2Wpp63YePMTXzUZC+u4mrzy+ftAazwlz2nvr3svz48 eu0gJOrcw23MnBwbphFvGNSpQAtMtbljP+NjqsA64CxQpbtYC+qO47xidA7aUTVlSDHiu6Y2 xVzJuL9YmEuCe0qy3OqQaFIoF6kZelS7+iTqtzm0t59C/zJ5IZyIQik4W8byuBUFHl2uYtE/ /JaDvLZpZeBoiFKxEuCy1413DTD2KVp5g/0+H4XFaaRWJNB2zyeVrOYrKfTdCVSrz72sryfA /IuyaY/Xmay0zr2qaooD37kJufeHjmlty9lS/CaiMghHRQJ7k7yM70gFiiq2DbdgZVC9QkCb 4azMQcPycJi9NmphMnlnzqHJ3q+3L8cH3H4LDQecE1RhlVpo4+TdUeYEQ4i15Ugxi4BEp2Al m8dzrqrbebSI1TySJX6cC/F1dcOl5jGhspBUChWLW4+ZuB3xpKkrldIUPYdCrJino5G5ZlK8 wb5g8VsUKqnUSRHypKCMhOC+fTYWlau3JIJiVs5ppWfSlPSK10wW7ORQngp6KN7rLX9/QzZn a1JUfTIX+Lq7g4rrdiNgcNUXnKIae7y269Dr/Rr2qK0CE84mOSZFt76LOFWg9/govb56cnZu et32wcAQkKvxBRzcTpXno6mbsosAqhalOe+8onVoxZr18X9296/H7efHnbmBX5imytEJCZEo 00Jj1uL10brEy2mlSKjpm6IebnQwz+k681QAs2xVLEWtQQ8+GI6weAQib2TtpiBzcru1dLF9 3v6xeyLTxxTCsdeDQwCkVAk3pXbhXjt318Du/VLvp3UOqVmtTbplSqL3waAID1XfuU1aF89s CdPfkRzPa++0gsAig8nhH43Gx1Pb6f8pZ1G9LQpYD7AobaX//uzjcsjZ8c6o5qaga9eFJ2fO mU2JqfZx4UR4+BH25geQm48jkEnO1NVwJfOpxhJiMPWnqEncXfHpMq1y6mT/ZNJCd+E9pPVz EbzjtVrFGmAdXGjCynHhk+vKgWAFGxKfP5C7cd7PRvW6t4frqOW3kAX0SabtluyO/7t/+Qty 56mXgp+subM97O82EWzlagl2/C199ZZTe+82lY6P4C9wolUVgExX3pnEADETkynklOR0hkQ1 ERzDuYjpiwtDY735FBMwiFAacoEZ+VuWBfJCrjsqygpb41Zz14DXOGtOXa/3LGCBsfc8hntp majtlUXMQpcYCYYuAERzTR8BtcXhiyHI1Z0kCzB1WQczAqRNspgqCjostjWoUZJJahSqQdTC 0ZeFrDCG86JxsjOLaHVT2howpHe1q+4g+YMaW3DKanbIRgt/1iahuadV4xMCYJRE+SbyvMEA rDeM+uhgWMfP1H89Se8B/ljrS3PDugU8eUCzS32pgHMP9tmjFhBB+xRSSHYzoQhnA+MpLas7 lz1OCf85NqcIBgNN3ETuk4X++OjxV+/uXz8/3L/zuRfJB7rmBWsvfafcLLtNgU8u0pkNBET2 yhH3f5vMGmuJVg9svEQLztJPA4KZrRD1ckb8VriNGsvFhArK4sspFFl4Lm8gSuiJEABrl5Jc K6LLBFIik5/ou5q7AWPjTOuzXJF30gbl7a4eQotv4l2NrwCxSaUmBoV4jw9h5m7ckYOx+Zwo iq+WbX4zxICAO2IzKIxODg+um62j1fnAlmqn1JNAb2GTDWqhyJOOavj4EsSA5Eau/RhW67oL 8emdhzFD6uzONFvgrCtqL9kDilTk9uGIe3ZZILmTbbGyf9lhPgEZ8XH3MnkjS7CCabGZRC+s o4H/wo45IV6bQsGbQ5IrReI2QCdj8bWNg8Zb+LI0+ZgHxTc54cOmDgyMEr5xTgSHh6P8cYku Hp+spbSDenQ5iziZMXlUqa7ptbRCxl624eJgARFUdnNPU/z1kA1AJNGnrNEre5U3kFpoT8iS aU958NssJITZJfgwqL6E5FOGUCWp64ZLqPE8VBconiagPp2awDvrOhhYaFOseOly0bgo/3f3 vsoDoq95VtD2YTOpUrsIn4FZrw8K1Dc98RFWRf+BU82HXTeVZiF7fL5Lwax+AtntLcCM8BlT mc8pFZEPMNm+B1GVX1WY9cAeub3zbJZA6TNsO0+kETMjVnqTzAztFjo/evDm28GNTOi6NcX+ YXG/f/r88Lz7snjaYxfEvVh2hrYmHgRDj9uXP3bHAx0JYYxmcsXNk6myiyhvCNiPsB5HEfh+ QwwFGPYank6LVELSSueGFHW/X/+l9M4ufkMMQisn6eHcLNT06qm3x9P2eP/nCQviA31sWJiM Z040SzbEzrdlswNOVKgENZajQbXav1E+deQ6VZpyN5z9jS9Hri4+LANoJNAjWrc6CzGQDs0h zRuFEIdRgmLYwbu9QuJO8TNNqlmuiA3CWTgtndSNNNQ6DQL4vsEeUHP1uUsTkM1PdWIeMdsP 6QjNoy41N9PGrWXxZ183ebCgvWaBECHR7urq/KLrX9cbtTi+bJ8P3/YvR7yVPe7v94+Lx/32 y+Lz9nH7fI99psPrN8S7gdAyhENAV7ht55Yz0EDBOrecjoJlpgj/To+fKdO88eFyLVzFengg ZtZ76BviYyCx9FKGHG6moNx3MSSagtIqhFSbdMIpmg5EmAx8B62ZzS5eTZZdZFMlKrKOt7jy OpQC6o3hHDUqU9m81sCpB7/63RlTnBhT2DGiTPit74zbb98eH+5NOFz8uXv8ZsYGiynTmPh4 qv7vE6WMk6XwVDJT8r33Mkub5EzhNtGxcCpDDejH1CwYYLOgKRTyrx7qJvcd+5l+XEoyM4UP jJgUQ5NFkTKCcgEl6jAdt/CuwAygQwbhp6gW6SUzHr2XQngEBStX+QQq2Y3RT3+rdcLWnTP8 vfx37jCafembdzD7csbsyzmzL6n0N2wHeASdD5D9gsHUyxkLLicuEMog6qVrWfqi8KTGyP2z DOrnTjW2uH+7aJ3SdVQWgcQ8Cn2xwwECP1BtNCdReuKtHtL65XiTOuJ+P7toL+dFQhJWYGOT Hk7vVofAzX488JKE2+9rKUyXglFC1GuNCfBpQZSuZ4ZvckbdM/qrlLzO72YYJCVZfQbCt3Mm oIoRik4F01A0QRE0JTB1kidIbT2HPiyTeNICRFDfAbTvqwGwiGORHOb7aR2rFskubKo2l0AN dJfktp2dbZSle1Webe//8t7q9czHVx4uz2CUn6NCRkUoSCbKVSX8nM0METdZdofT9ovt8coA v8IqwCvYTBJpCMzbJedK0gD9GxWmC+9HG+fC2wU9zHxcEJO3N0gCG4T7jIq6Yj4kkhfL39/7 73l6KKhw1snyC7dZiL+GW3FHUAPfUIFKucMLNxUYeq7hRhGrAkxaVlU9+cDDJ8TI0AXWgNKn s9OGo+O0IIYYnhB1z6/dISO0XW3ImOpQFBt3mQmPgyrPQuYvV/PcucGCHxe+S7Cc7hHcXnwg 4Tmr6c9+6qyiq8dlXt3UzHvy0YF6288PasvMkd4Bmqu98ehwMXh+45t7elxW1fQwPwVxMUUV iRwfYj5NV4B4VD3tMS4VbG5KBStA8VuonhOJspGqdWnpGOFS4Nb2kxdqrmTyiOMEMar0jVl7 Upu1jIcI5xz9+MN7CtaWefcf5otIgWZjOUkZNmkdVO9gA65gcTend2Pef8trzo7r193rDkL/ b937MXt2eC8jFDbSouuZu3vEZjqaTNFmqfKvPTo4RMgTrGrpfvTYQ81l4/V0Dum+RO2BKo0o 4DUljObX5AcQPTpKp5PGkZoCuSYoNTPLIeZdSbJS79GJmlxcdRj4l5/SX+K2Mgb1XdNqVeto TsA4q9bk9zId/jolzBFXiXf50YHT6zlMzNZhC7cbccrbsnS6lFrwKRAmJuF13qymUK4VJQvx 8abdIY/bw+Hha9fF8LrVkF4EH4kDAD9bcF9R9GAd2/7IBGFCyPtQJMSkNzPqQWRz6XyP2QHM Z9z+Iz4LP9W3t0KozdxToR699O1qBMQn84Tg9l37CX72xp7gxuUUbprw+BVIMBM3iJPLYnPX INZvRFq52kriiKBOSoXf+Ff4R4+8TAgiHDNP5YlBVc3LjboRIOCoNgfY2sdTff5jw72aQiaP /QZEDileNHflYd81D8S0Dsxtcce/P0rq0KMR0q6UFzwMbD4NKM1fS3AamZkKnzK0Vguzl4Bt foldJbyFsTfDw+BrqenvMMyssRIksvvQwrzKgEj4Fk33MG9GNnnbRo26a/0/BBBd58GbzsVx d/D/vo6Zf63txfZQoU3IA4T7NnQUN2OFZMncWuiq3+0+YMuFu18FY7We4vsLr4Luga3W1MNJ ZFPyOhiCoLaI22lhNKGyXf3ZCgrIMuGnkgiiX1Fgj4BuVRnMzJ8wwRaGSvHvxc2hibzdRSue p+EjYfvB6+Pr7rjfH/9cfLGfaX95efjbflowjsY3tblvl7jwfl/HzPudxSLSjYpIoPlzI6pR EGoSz7YDAbInEYVeh3ruUVJT6ZOlaJjUoSgIa7P34TwGHMVqYs8OxXR2SQc0h8go7KQ0LVst b28ni4yLi7PL24nWanZ+NoWmhII38H8PVsiNbzqzgMB4VaGKxN3vs27hFKopRBlZx6QuALmO qeRQaclZ0X2sNi4f+9Ey/GryRkieB2+/xoZOuhbk3wrBAPax9k+Ij/X4GY0XjT/Ws12hmAk/ T4HfJ4knL8AM0LNRzOusDf4yXw/DB6cQwGZn6MnwC93gvO8XlPp/QS7FftRKQP1GtvljOIuE NxoB+E2Of51gwei0M2w8l0OAyhLT4uhOmu3LIn3YPeLfPnl6en3uL9t+AtKfO//yn7wACzRX w3KceqaxD6GbLLwRU5cf3r/3ZTKgVlzEE/Dlpa8EAzJ2C5RpEcBiZtZCxLLCvx3mTzGAp7P7 m7OHdD7jzW3gJ6ZGtLWcawd9cQ7/Mho6FUdp4xIEbI6W9JbbOjSbO+4yvZHlh4DZ/3H2JEuO 4zre5ysc79Qd8XrakvdDH7TaKmthirKtrIsiX1W+6YxX21RlR3f//QAkJXEBXRVzqMUARII7 AAKgBKpaNOHih6bOWBLjEYh9mb3Gi5zSHil/3hGGsj8lZUObRbTRPF9AHoOVWdoSKcq0cGJr ml0eFWVz1S+Isu7UNU2puUvq2VLS6RiezXlJErWuS62IYn95p75YNHaEzkUG2Z+ykumbhQGG /bg7YSILzYZ57SrmESh4F9VpVN5JFinKzou2ukVtJhOvOoznL18//vn09Vn4fug39vlNxMgb 58MIEoFSKebFm5EgFrXRVJuWj2P+SqRPs7uARMNIlaWZwW6mM4Lj1SS1mzF+dYvqToRva8GB 4+koouBpnAXVBgRDrdO2uHqkVUWQXVuPp7skQClQFQNHSAVzkrrgQKKIP9bJSCrTwE6Td8qW xC4qRZ6eZbVJUPuYAW12NMIV5W9zT1EwrucxU7Bb4JBVlW5EGsvT07rO5Q3RtdIjDjGZxgkm iphFuakwIzLP6kTG4tEOdZ4FJ8XpP75RJ1qkAtMwpqxph7LyCJDB4LPlC1xPbapV03e6GfZU 8KIs4MdQ6omIUcgbsrjQLDLVqRDjpKvNEkTdEI6SodbCSTZpYNfEpM9z2ejQPkyJcafyj7VH nKs6SpVNO60FTa7/H0MKOzPtMwAx8WjaxdwAYuAsBoAYwCxqy0cadW7iNwYgfayjqkjMmtJU 7QQzzJiADbpMwL5yhYlmxPFKBMpuBgxPByPhGMjIpm+jAsA82O93h62LCML92vl+qBvQ6DXm VVoJQ79RmSbqC/RfXFJexW/byNC68TcaJMWeOLzlHZ3TxCQr3649Rc80+7U2RQ3Ub/8A3D+s sqeMo/7qVaDzGF1L6WWq/WiwcjpKQEVsskxkvLfx8iaY/jZtYyNcGH8PY8ZxlSSbXvDjkMSe 3JkKDw2kzStpCwuenbskvdIlYP49nHQoiVAXntI+B/VoyuJYaTzd2tTXKlvwyV1zFIIAOtgR +AIog7UiskpBkEdxa2TYkNDEKUl6dpGblMGUDLh/+fZO25nHkyqredNy9H9dlddlqCcTSTfh ph9S1hjhtRrYI47rFMZpBid69Sj2iPnKLOGHVcjXS+2Ew6h/kOX19AJwIJUNv7SYla21Dlux rydNUaMYOn8iwJgSvTV9GyKW8sN+GUalJxyOl+FhuVzdQYZUNsKxJzsg2WyWMyMjIj4Fux0B FwwddOvGqUq2q004A1IebPfGJTnu2tANQ5awFZFAdhZUrdWhwD2mluwHnuaZ1suY0mFoO65Z ZdiVRXWRmIcr/HXOHi3FPlRbtUxZkcHxV2lOzOM4CjiMcKgppzNwow+UApfZMfJEASiKKuq3 +92GaKYiOKySfksUfVj1/Zp2EVQURdoN+8OJZbz3F59lwXK51tU2q/kyK/7zX0/fFoXIt/hR JEP99jsIze81X/APL5+eF+9hnb58wf/qKd8H3ukV/D8Ko1a8uTwNjBRNZSo99E58WuTsGC3+ Pcr67z//+Um4rMsYn8VPX5//94+Xr8/AVZj8rOXbQ5txhAoT0xZnlpwaYt5NNocxeYO+Z8nk 33h5oCxyzuwSSbCqRrM+tFGR4tsQrXZrg1TmLxR6tW5AiBPCJ6BCpsuntBCCGcWFzEP4E3T4 f/65eH368vzPRZL+ArNA64vx8OAah8mplTDTOW+kpMzt0ydHohj9KkvwPG2devkCk+BbJVHt yaohSMrmePS5KAkCnuDtGupJjnYreqcb56OhDchPUTHBoaE2UyTIE2roYA/GvykMx0dZPPCy iOEfpw/kJ1Ra9AmND6CYD7JIVMumyubs81ab/8vszJtIH6j5kgg4Bjl/NEEiB6bIsm01RWy/ VENGxHgPMuf4qdGf19fAS85PSeqUJsEDg2MGM477xx8IcXd6swsD2hQyUcWckjthWHLtdBE/ G3eq+v01BVpKar42pidr6NLT0KZR4tZyGk6gMN/8FQFFVtEG/xEflZeIFMmorWsWeTQTJUe5 9GS87qAyRccNJqdsW13PRJSTblUUwSo3vWvy+dPr188fMDXV4s+X198B++kXnueLT0+voMwv XjA197+f3j0byxVLi05JQU6IkQ/EF5UmxghIkl0jw7sPgT1aT2iRHNEPTVtQTieCj2MGiohh ckUoNoGwDKSuPqLDKpn4P806I3QawJicK9JslQDCs2TpQAIX4hKtN1uj9EkF0MesUmqR5zEB X5anSc+qhJWx0x8RmnGGBlZ5b3FEIbnphTSSy4yUGC0SHUFnwh+0LomFgN7E2oI3mgccJr3D 9Jy8Q9NoKqe8XssFn84qGOmMBWihZBrF8Tpi4ikhHdidQE+Fg1qmrS7qo4GV1muzXpWNuaKm XKr06/G7GZzF3CoH5BwP52gotoirApcxTY9TxiJ/m7W0EwEWdUehFIOHRhWd9fTCzT6TpnDT DIiWIToPE+Awa73pfDoBZUb7x6GFI0yEX3KPajJ/kZPJIHGALd8cAGGwjRgRu/enBKSUNXeM GjfV8S6Bz8SsJhlEdF6UGXmyIJKZouTo7KOqmxGiID3uUB77FhWP2QyTIVVZli2C1WG9+CkH 0foGf352pd68aDO8KNbvkiUEizS0xgnhhN6OIUn3ajQulZTNm76avFbOwVN8+vLHq1dyL2p2 0RPC4U/hDKJ1moDlORqzSsPuKDHyZbOzjNQ3MFWECTLP2qMFl2/PXz9gzvDpuPtm8QJqxIVn VnIEE4O3bRdKLbTIeNJmWT30vwXLcH2f5vG33XZvkrxpHo0rdQnNrkYujhEoo0q0/nbu0owP YHnHTdQaj1iMsCFK2Waz3xPts0gOM3MzpjvHKQF/6IKlbhsxEMI44jLy0IXBln4bYqJJSsZ3 QUCNxkSTKle6drvfEByUZ5rljKGZgOTsyMitwcALBzTdM3rCdkm0XQdbokrA7NfBnsDIqUxx X+1X4cqDWFGIKup3qw01eFXCKShrgzAgELzGuO9bCwCilYZEOEHr7NbpGYQmBHpf4jbNCRyr imTf6z5DMw9RxS9m2sh5FJoyzQs4iORlzP2JxLvmFt08DzppVPh/bjnwEXSX+hxT4sxMcZIl kZwXD3wb3p3TDWxqa/LbrgqHrrkkJ+sMdyn77js84kObg24nnDERg0VHDbD0X3Mrq7qzGMf7 26YmLONP2Gk1Y+gEAlVLf81thsePKQUG0aGAfxmjkPwRhMnOMLsTSJASjXvdmSR5ZOZt2IwS 1y7iGTIKC9IZSC7626Uubqp2VhZm3jJ0tStopVRjQswFMsPSTJTjs7E+Zjw8cJDhIl+2fSSI GCszUb23bpgtm8NubY9x8hixyAZin0xuMiTGcy1hEZEjeeWwv0SR20rPVq+6YJoexoW+jZTG Tft05+aDRSNkADXLyMg2I1baMTVD04KAJk3cGmrWhDnmIS31zhQtmeLMwA9mqsYZB5pomVUN Nd0mIpGoNtIV7wnFixQE1drwgJmQXZUa++VcoLCD3Kvyhk+xNVShFSi1ZalHbM3M4AMNTRtT fCIqNh7Bm3HoeW/m552bcCtS+HF/AN6esvpkG5NsojQ+3B2kqMqShmpVd2nj5thGeU/NJr5Z BgGBQHH0UjEC07MoJUcFEUNOZxI1ibze39r4lWeYMyAqBvcJGRclckY7T850fUvtFRM+50W0 Nfwg5cIVSRI86YskAW54Uqz3n3UFT+wdYb9n1X7ZD02N8pQl9kfpLlgbsqgO9+x7BonhIakw bZGVKMDFl67Tp4pCi9tYOOlFi2xsXEWBLtArTWTVLwdVnNU+aB1sscNVPDHXtG5bRilPiZT+ zgP5dbfdLKeestU0gT+shpPYfu8MVVWBuL2h7nQlXojxcZYx01NKQ6YZxtTRXmkamWi0t5qE JZgczD8OhXBX67LQRqEEyeBYk2iXx3PfvaF2CdXhGNAFikVmD9VjFpl3YIrPKlge3Era7Hgp hXOX2+EWYXe508yehTD9WXa2MRfSSMCSfLPcrlYwby7EZEry/Wa3vjMw7Fapsf0O0f3BE+Pb NvgwON64NcbJJUnSaBful6p3HMNGGh2Wm5Be9ojbrnxbQl+u1r0HbAtKJtK3O0qqogK1LqHf i1YUDzzcHugDapwr0Yp+vFG1rL2GWxhuX6cgervR0Fb5kmA3EnjrEbdjYqJLLdUqhifhbtyU iDLaqlhbz5gJkNW5AubrU4msqNhFgcqXK6t0gAjhurHgYapu6m36IHAgoQ1ZGW8zKRjlkqZQ kV3AZjNamE5PX98LV4Di12YxXvEqWotv8RP/Np9nlGAWtYblRULLIpZa33wLJeBt5LmeE1jl bQBfkh46ojoeosHcLTlqk7sfRiw29FAJbUqWAIozp7WXel0IzdVCSKuQXtJFdtfsWwxCm9lT I2So+Waz13mfMKW1yymLLjVKk7WXssnKi7/fn74+vcOkVI7HWKe//nXVHwBvYFKWwm+45vIV Fq5TjgQz7HRzYUA3g/GtmdRIu43PaBz2A+sezbf0hJOQAJOzoxSp2fGuz35ZQLoqPH99efrg Rv5J3VZ6yibGozISsQ83SxKoPRquPTRJ0AXbzWYZDVcQwqK68xDlqCmdaZzTgTqyyuqhSmJz zo7IuhUhTdp7ODq2vdSY+PweiXgnJbXeQNZrj+pHkeyU9PDQCCPO8ImbqwhS9BQmHNbRd/A7 Zcm7XNMR2WgXjzwjdjOevDNRPq7aLtzvKQudTgQ7RLDXrWQ6EiY0OxV6WIyORQ2y1v2udaTw prf3MUA2OXlPL51VP3/6BT8GiJjywnXJdaSSBQnRn2i6UgnkzPPuxhMhSz0eEzoRbCtkDjNF dD6m8VBXhdMTo+Xfi/CukNFmbHe8gsuZP6x933lWBqgdK3z32i5Vwl02Dfv4DJu4pnDe/QhZ KgtTBbBQ1LB5KKcNIrB74AQSU+F2nADPn4UOEyeOi2EV9neWjP1c7AR0B3I8JcwY/5GbIi+u VE9IxPf7AW2vxQNRgER8v4CHjFicPEnqnrKrTfhgW3CURkVHOH08osmix09pQ4BDZnl/Cixs +nHWphGxYOKk2q56dworuHehKaHsTRcdPTu8RfFDW4v8xBOUOy66nsOhH9kyp47xcq1cpBkf zNj5sQA0id8tYKKgGtze3RJzDrOM3W+boCnqvMx6kkH4lfUiAq84FgnIPS2xqmwS/2aJ0XAJ tZoE4kdGDIWRt8GK8tMey2Jt6tbM8KLJy1YlMuy4XAH8h5i6ZvHlO7OouZXEaoM1crfgooyz CM0WnPZMVHsJbLTk8I0IPDikECWech99CU2B1Z55SdeWQs9wOqyWPr+pdetfDxiwTrBZD0f9 sUIRHiU1gNlNBuMEYVetqaCp03UMoCRGSTw1fKGkQ9YW5qMhJXPnAGOGZ4QK13HIClYVwwna XBo2GYSimCQ90Sw4xjwMjlOUhkNPNdL5TdBI55j5JT7NroFoXtgAOJMs0A3TJqX6oxWydrRh NLlNfU74EFeanKhEaoQLAgNZs6TC/d/AfrQ+FTly7S8BEt9pHWhuoPyljTZjJpB4RwnUXIwE dD8Y4mi9CiiESltBYFAUautjQuGcjWFGVRknn/XUKLoz1YCsf6wbTmGwQ/UtYsagabazwsQd ogTWq+m8MON6UA88joXZVUZVzl5w2fVckRnpxMt04zJUMNxYBDy7cv2Niy6BP8zTHkCQznAY o8JHkUXzoBPwO19Y2RM08JC0G9rrZyTCW9wfIhIaxh0mxJ0xQOpMt0fr2PpybaSx2qjgCt0x iKzl95rYrVZvWbgm26lwHonNIbO6C2SU8tHaQednTxwbjmb4U6PZXuD8xmADGd7veu0BW66z nn7Jjb0jXDugA43kMmJ0nHeRTDTo9HR2McTiG5fKEbL648Pry5cPz39BY5Cl5PeXLyRfIFjF 0sAmktFloD6brEKh8mD8aLIi4RXtz6fwZZesV8st9SlLosNmTd9JmjR/3amAFTWe3FQFbUYe NmEiHwPVPrU+rMo+YaWR2uhub+rfq3wQaDbTjoDJd8KoC1+njYvZdRXKnUyPGDFPvWeCVRT9 5pSG9MT7+9vr88fFvzDeXgo6i58+fv72+uHvxfPHfz2/f//8fvGrovrl86df3kE7frYrkHqC p+/kUWf3d9Qd/CMZ9X3hufHAlZBU4Z4UcRUWTtC2SewaEXFuah+bcZtUXE/rKhYPZilQU1mf DtG1MFLYyDnCi2MtMpHYW7SF5mVE5sOwyEb7klXNpGkY4KzKrqEFEkfpxmbE9rKxpsrxBKp3 SmeKxy28OtoFoohQMs+9OOIbttItcwh783a92y9N2Dmr5CLSYCVLwrO14DJuHhIC2G03pMFD Indb3atSwK7bdW9zBQqrCVBCnF1bI7wnvZ2IDoMeViw1B0GwZd0L+REkFcxNZrLGaoct1vsm twzftmdsWxTWIdOeV1aX8FUSroOlXRU+SoXZsX3TmBdVlzlLkJNPPwkESJL52qVH8M730aXe grAe3qxm8cf64QIic2sXJ2y5Q8zo94uBwLUT69AhtwsEUY9HXeHRfpHiVvlPZmn88KNL3xrs S3ZwJ2WbRK5skf0Fsskn0GKB4lc4UWCbf3r/9EUILI6/uthdGvTdu9jSR1rW1u7i5A0RPDRx 0+WXt2+HRmpbZv9H6ON69c3yrqjHeHfBe/P6uzw8FePaGWUfQOoA9hSsfGup54FDDDW2LpPH izvf6WpO3It1ZIjN3ZbRBFCFsnsHXBJhshlMOuM9HzBKzA6ymTEoInhrUCFmHllWl0OnKlfa REgwISBAVELaGZHeSDC/JiS8KkDzQISR0k8aSmfzBSMiUjWcKvRvAyZUNXnbyIpF9fRNPfmj wjHdGA0RHy2kF4MREHEP6PBhlB51p93BMFIJwipKo2G1W9IqkvyQVo0k7hDApDfNp+M3A+xj qaWOCGQvI7tB9C5ItReRSkwyi1XA6NKb7R3NzhRwOHHTiC1Rw4Ph5yagRRdHppItwJcOrRgl pcAJJRTUolo3cWhArQt05HwhZU2YUXryDgbuZB4+VBSKVaa1PxgYtCA7zCHYM3AygBwTT67o 6xmgwcSGaHAmPveKbogEyQz+zX3MmndgAHhjS6kILKvdcihL+jkKQcD2+3UwtB15+TF2iv72 7ggk+yklVr0Q8PB/ia+OicLM1yNQjiBooVEU9BXbnYe6sfYUFAGHvLiYvAuoO/Tq1oqbD0Eg ppHnm6dmlBjDtb3+uoJYY0g6BMvl2WSzaQtTKkYgdOHKN9kFbuAPVvEgQ4Y2H6BMnZNTwey+ bi0/LA31cGE2MyBJosjt+YAnwb7g22VoVo1yJi+a3IY6VCeno6a7SR0mjtiqC+3LPcSxlhIg RpRw/rc6QMin3rkm70ce/J2EKS94snZKRacm3yco81ptosRdMZ37wreAhCQcBkuxT5nFCVQQ rO3S5CdL2L3KiFNRJgaR8Gk1hmOSra3W9phT3VOclJCdL+5sT+gtwyP4RyTSoUt9Cx02Lizj Y0RUbDjeGbJIJLCeJQzNyuM6eOAYXHpdImHjQ7RSNLEEEfhjRJyKHWWKdzbePRKdXWbbsF8S M5ya9Hgz4Mw0geGPIElhdq+6axufnDInJ9RKqKhuOuk3LyeRZ2W2XEqnRjhR3805MgA2gz+8 YKYlXb7HItCISd1g6aFp8EN7800B644hwtGLEKbqcgcOS0rKAjMonMWFij5RNKRweKPZGklm LYkqwD7PJ9b+B5N/Pr1+/qpzJ7EdA8Y/v/sPwTa0Ndjs95gKQY92MuFDqj8uaeFEUpBxmLJP +Dz5gp0e4TxfYCR3nXW3pj0PABLziXdRJV5Xe/0M/D8vQGED9fL9C6YqBZ1T8Pntv30cDkyE OswdY2KLtNuHbEW9BudSqqshpcm4nTR9qUy4s9OnSjGrEIN4+kKfVUUt17BLj5bf/FInluch lgT/o6swEFIdc1gaWRFe+obCMWFAaYCpQ7vcT0QVnZBxxMdVsN/TSstIkkb7zXJgF0YdjDPR YbkNKTaVT96db6uEhSu+3JvXHQ7WUD9srL7cRxwv8LXdu22D0zmn5cSRQvkF3mG/SbLSTNw4 MYfZ2FFmGrgnqnEq41aSLdh4FMqJwKdxTgQHMiZgmh7SLE9Ure6mj5THuk2zIaatQm2psoX+ GdydE47eOo2HyAxnelyMuOTxWF+4Om6dWmvaVjujmS/2dCYJB2Mf0L8lEXHWlnqaoLl7Vrsl 2TXigyE+rj2PxE5VSqP0HW5BiHcrRsl+QzCK8B0Br3hFzg72sF9uv7P1IM3+Pk3BHtbL4PA9 GrsuimK3phgF1HYZULk1tBbuw3BLbDyA2G6XNOKwJYevSqvDNqBupfSP+92a7On9IfDwcdis qL1VoHbUy9oGxcFX3cFX3f8xdiVNbuNK+q/UsV/MvBgC3A/vQJGUim1RYhGUivaFUWNXd1SM tyiX33TPrx8kwAVLAvLFcuX3EfuORGae2V88lCwKIvsDca3A2K4RDwrt71iZkixA5RSXZ5w/ 2hGxqk0S7IOqzSJkqGDVGGPiNiMxFkyrPzJQ5CEmP3YFAy3bZlkq9Xy99uPpx933l68f316R Rw7Llz1fC4BlQTuq+6nbY0Uo5I5Rj4OwAFlQq5HAl+Ji0DdWcE6fFWma50iJbSjSkJRP0S6x 4qm/m2/h+CasjYVViYISf1p8I8IWSuiLwh9DnvhGAYXmzUZyIxL83MHm3VjibcT0V4nFL9VS 5G0SYeGfHfoPBXZKp8DUU3hR6itabMDYQOot9gjdjlgsdELa4PIXizqqcR0Jm1j8KnHnL9aT s9Wx+5Q6DHabtBurg5WGPZc2SDxOvLIE5mgDgIWO8QqwOPVkMs1u9V5BSpzBh4Wz5YtE32pB guRsQOx+NCph3vO6piBrzrCtOC2QVBjxbypAHcC79pyPeZHJSlM8V6V83s8zdHqfFUwx8T6i uRNKnFAaITU3Q86v7nm/d0BtR0RzMrChmZqzNAppYcpJqAOZjhXSfFeU74N8MDtW6KZY/R73 8W4zR/StLpJe3X4HQiD+EUphUv/oqCZO6wpSi/H508vT8Pw/7qVY3ZwGXft4Xf86hNMVaYTC yFbRN8haDu4XAnQgFddP/kFUUPzrpXbIjCceKIWmNyg0Jf5VRDskqXcxA4QU6TUgz9FRVmTv VqwZSW6lPSOpbyAFQob0WZDn6BTPkZjgfgqUXIV5io6+zmZnJQBUgJHdOd9hpccMWZkIIEcG RwmgeRna7pqm3uOf+uHSHJtd31yUdwSwj9Ae6M4C4eIDjN9Ox6Zthn/FhC6M897YmyyfNP3D fGc4A/K00yZPpXbpsYqmKzGk80GqIRU2FoNNjfn5y7fXv+++PH3//vzpThzrWEOA+C7ls5T0 8KW+9O9WAwdI4UnUOjhTxPZxn8ECHRJXyD0PY1f3/XvQRRg7I5+L/ioiHg/M1nmVqNRqdcW4 aF6YmcFMfeqM6tHwIaaCNTze0aZ7KTaa2rQf4CcggZWA9czcZxxfMnt/iYPKhQc9PmJn2wJr zorKpZCAccPyapey+6B7gUPtUl22212WsHS0Amvr0wdj7NbgbrHPaXxmaTYY+IidZM8QMyoG jnNctagdLsp2Wxa9KapMEl93FnFF+QB03l1MzHpGPIvPnhbITnCRhuvsSwKkXS9zPopN46O6 KJPi96xUX3oL4fLy35KRLLEqbWBRho63ArVXfLOpKoh2aAyxMNw/qX5/pHi5DNeER3OYKMDE fSmN3q+Tk3NIXN8BCOnzX9+fvn6yh8rZTLGRoKI6mR3k8DhpKtzKAB1gUmp2CvF+I3RIZ4MT eskLLHUWvTROZfeyoWtKmhHnd7xC8yBQLxWRUpITzr66UXp98wHGbWtsrnjCSfuIvc2RY6ww V2XU76yJqwclVefdfeXYhTl6dDGjWWqVOQjjJLaHJ7GA8Ywzs8k4T8c90syhrTtXDePfY50M gJxgOxKJP7SjujEXwkd5Cq4+zbErbFXQ8FYkXzGQJLKXHyHJCTKOi2aPHbdIuAzDTD0El821 YWfWmz2fjzmRarpKBrB45NweLNsZkJbY2c7O2PoVggr4+vL69vPps28JVRwOfPydTQzqaSvf zRpgcyxoaMs3j8pK75FMciwWiSD//N+XWf16U5lZy5lzpRrwVDEa5Xib00kZ1no2Cp8l1YpU vyWPmJrSxtBXtpucHRq1IJAcqTlln5/+rVqC4uHM+jv3dd8aaZv1d4znqDYDMh5g+zidoQzw BjCBY3HdXbHGICGaMvExdkelMWioDuoqlN1OtG5rTYewvqcz3MkOQ762wO1H6LzsJicOsJWh ytCeQukAcZZNHWAXozqFpEjTm5uYsm2E9+7CjSz26kCi7NJ1R/UwS5GualcLVhUS30TC1bOU KSUOal3g5gbWF0GCVdeuANXx91NRDlkexcqickHKRxoQbZpaECg/h08DlZJhawCNoNWBhuAH GQuF7bBX2Uum2U55bLY4/GG6w5slpN0DaKzii+E1QWK14MtLkWtmZBc5n6hIGkRuhDoQSpRF w5KtxVaojTSsg9BsgAeW5UGItQxYhTjOsRaKQ3NjC1yUrB3rcQiTmKCRDmVEEoqpQipJJlGc ptjn0jraeSYlMTYAKuGI1RIWzmJc1/O5vIBvd8qRzQLxJhORGKkgAeQBDtAYzRJAKfrkVmHE Mjrs4zhDr3ZVRp7hSYqTEckEz3MYpXa7PBSXQw0VSPOIIPDspgLr0P0QByF+NrvE2g98DPKV gnhpxhdUXYUkuaSpan1jkV9KRoKAoiVX5Xkeo5ZDT/GQkMweUrcBE8bVGN2T3j+2qg0G8Sff jFamaH5rJk/xpGU76cAOseE4u9mteBaVHq7II6dcM7W5IS0J8JcaGiPGAgUgcYeKHcBpjJC4 PiYpdjCjMHIaYe6HqyEdiQMIXUDkBogDSCie8gHuxL0pB0aMfnw/EMfbtoUBKm2+wFmpP8Be gbGZ9sVpUT1HYxfHqr7Ah7FDgt4NZOquAxbkDE3Fsehb3GymJJb8n6Lhvbrrz3YMC9qxiw0K OzBDrXtuWEGWeL1bgydqrLhm89VFVdoYeOYakc6wBw2seI8DGd0fMCQO05hhKT+g+u4reoxJ xlo7RA7QAAX4Aq1AxWg7lofGBWZYaKHcN/cJCZF+0+zaokaSwOVdPSLyIUtt6e9lRG0pH4V7 QikSq3BxeaixzMhJCrfUpjKQVMyArjVtgvqDKBXMA2d6HGpFCocvKnyjMjAoQRqiAChSeAKI XF8kWKEKAOkgsOAi2NgIAEUKEuRJkCCRC4TkDiBB5yyAct/8IM6KUqwQJIK1W3C8jo4GAgjx FCYJ1kwFELviyPHy4cnKsU/KLgzQZB3Hvj5AL8WKaCgTdD2z4h2jYYbWbX3aU7JrS3P5shL6 lI8yoQ3w8XJEOvixTUK0H7TeyYzDrs+8fblNsY7cpmhLOrYOtT2FgO0LFBidy7nc1z6PrWNo aG+NC22Or5wVQkxDXC9M40TewUUwkN7alVkaYkMFABFNsUydhlIeqjVsOOOOKVZqOfAu7ytw YKT4+olDaRbgJu9nxmplxgRYEVK0Rs5lOXWZ0wbtkvl9FudKX+p0k1IrDxfDepcmiQNIkWrY gSHqfW0DfJKdyv2+QxcVzYl1l35qOtbhymcrsQ9j6t0TcAY8GEBj6TsWRw6XRiuJHZOMhP4+ QuMAKxUxfzq6s4Q29y23JtkwI7h+jzFx+YZSOVEF+MxBA9dkw5EY/4bPBPioAlgURf4RCw55 kgw/LV05HS8m3yjatUmaREOPtOGx5vM1kqWHOGK/kyArkAmRzzZREGHzMUfiMDHMfczYpaxy 3N+KyqABkpix6mpC0bXthyNPvi9Q8I/jmFVVxRExO3pLmbnv31bKbmANFhPjm0FfBXEcWxRw cfiXI7zS16GrtubLInT8rtsSbsW8WeUcSgLfwM0ZCZwgI2luWRmlrQfJ0YqU6C70rgTZMDC0 n7G2TRJ8H16VhGZVRvx9qKhYmlHskYPGSLHtOC+LjKJnH82poIHv3AQIpsH0FQn9o/ZQpsjZ 0HDfljE6+Q1tR7wTqiAgK0Ehz1B5hDUBkGPNmctjgq4CrwOhxJfXxyxM0xDZdQOQkQoHcidA KywZAvI1e0FAm5lEYKQBPUF/EEc+IQzonC7BBLXerHASmt4jZxMSqTEIDCIfp5YEE7IVEMu5 QnlKPQvAl/rsZW1N6QKxoRga5nBstZDqtu4P9Qm838y2oSeh3D217F+BHeYZd8S4wI99I1wb TkPfOJY8C7Wq98XlOEyH85WntO6mx4ZhBp8w/h5Op4RLFyzfKhN8I0k3m56gbwf5q4kEHtiJ mmZjUQi8pUhVIL3u+/pBqWUrBXV7kU6RPLHPKp+zVFhkWkJcpWDSEomGi7O2XRC04t6FGLw0 4q4uejs2djllSCIWszt2swaFO4QPUt5KQ/uDd03/7vF8ruyPqvOiW6DyZ6tmSBHI1/6ePIJe /Pad1C/7+vb8GYxDvH7RHEAJsCi75o736jAKRoSzXl77eZu3LSwqEc7u9dvTp4/fviCRzEmf lWXtQgId2xOziwnkTK2JNR3OyERShue/nn7wtP54e/35RdggcaZpaCZ2LtE233gbItiJ8rVF 4dXczhKIY7Ti+yKN0YpfM307W1LP6unLj59f//RVtosiOA8/nz7zovVUpLgWHWDKUOvE+d3W PfsKy/riJgDr0WzHpwTGmt1Rt67DMOVo3l4Kla6ItcZWTPdnMA511uztCEAamAcTivjEIUi2 jSY0kENblFPZ4rsFjYhfsUvKrPux2RD/4+fXj2ABZnF6Z1VPu68MD0QgWVU8vqhS6eHv0BVV adARw4lSDoYTwYBeedYMGGzg/bGsUOflnCG8pAfqYYyQLqqaulj6UcVkhpNyyPBshFRzpwHA +iJES6mUurysbwTDjJWICR6GOM4PVhy9zF9R9SHKKlQfoWxCahQ/a0r13Q0okpt6rMCb77I0 yy6LPKF6CUnXrJZMU2YRMs1ILUhAkfod34qFBlO+dJTv+HXkUAw12DgSd11myfIdZziObp+u KsdTcx1NaG6FPfL09IWzYbYj5eMy0y7/QH7fJHyPIg0wmEAcj4ZlBr7dnjpZRxq5eWAJNVqy aY8bZNJzdoAJY7NZrxoyunTRd7GkWYJJ89AqKaEuhO2uBTok2knwIstTvaGt9wlq8PUH4UIA sw8tWjxgZnKuTVf3wsaZ4yvwxaynR9GR2pTwFh/LhcOT30pwjMYi4HZ+G6JGL/RazFT377IA OyQQmFQuMQbiJkoT02GaBHgzqWUrMge95ajJkLax/jxyFbotnArKu/cZb1P4VYQgSBfD0ORR TrEb4yAQeXCHwTf32OZlnozA4jhfJupFvL4f0UIawFxgGPI+OLDS3bGlbr5eQgNYYtVcbYPu OwliXAVQasyjjxkklBpdG1OxX+WUuPrW0FhvBRSx8VpACc/V0BaFfr00F6ndnFbEmjYej4Sm oeV4QZRvG8YOvS4Rpng04Ejg8nTDXEZIsWeMXxiGedt12qTYyb3ISBuTwCgQkOlv5KQ0y83X qCaMHxXOcEismcz8PjI67vAYZWQ0hWDm9NgtlhItSADM6u9O+2ti7rnn+0+4Zb64CnjRb5tq o5FoJ0TaMyjf4nTdRC9XNMpuexGZes4bsG9G8K17Pg6GssdGARdbF+kPkF3aGr8C2uhwACLO P371Az4JH7IE0zTXOPrsvUGw+s70DqyDsDS/kYSiisMc6+sK5cR/OjQBy1oaCXhZlHuDVtfo SBilY15XGHKFjn9ua1c7SAl2MG1QQmccBD0o1yiUoBUoEIIh++IUh3HsqFuBugxBbjTHomMj yHUoFr9ErnEY4CmQC9Ub8TfsyFfx2KZF4yQ0JQWWCD4LJKGjecEMnOIXwwbJX7dCWd0ZB8yb N+Pgsyi+cTNIyU3WUIZxht3Y6JwkTbDiwvTbdTRGJ02Nw1fvqvkeE4vRdizuiaPcCSXOr/ie QJ1kDBB9GmEmSX09aGJ56Aw9NRU8nDSKW5hQaGVHeMncSGwXRyRx1E2XZTFuP0QnJbdaY9s9 pDmqqKpw+M4KH3UAoaELiTMXkjhGCcz4hkXqdk2Bn4spnLLgc5k/W9gGTUH32Yhe1auUy4ea 4FNtd+XDLd6MBZQ5SkCAjkeOCgt9prjh4my079p7PJL5RUkFlNvhgAlwvFcI+MJ209VyN2Nx VfWF4Xwp71nZ1/VpKgbTZQL2sdys3mINUYa+xVUp8z4ZQdordVQKo21X3AgZOIwQRwBxm6UO czcKSzwe8cdyPPCtQ+BKp1iK785neJN6KzLBvfb1fnfZ++MUzO4RXS3Pu4Xp2rYl3kgY388H ya1lJWdlNPIv/gQnPWG1B6o8hI9FDiyhId4X5R4ZH8LsXbWJZei0KjDiTktMoxEvKs/bd2XT sPkvw3Ygjgv9jWHu+YzufCx2jfrUrC8tR1Q9eHvC3TMcG8d72h4OxctzxTc8WOrK2RcyM+Ip hoYnsD0PqA+6Hs5+lQvdfvGCqd3n8jVji14Wzwj47lULs4EJur6glzvwycC3a02vRbuH/eg7 I1aXe2SAVCNk/G/EK24Dj3WrvhjwUw24oh/6umg/OGqCEx6b0+58qiC1jqwczn13vBzAH5tR YodLgXvR5K104HyjAPpR1XMSBXswcgOui3hJu+oB3qNpZQKiU11aVXmYfr+iXiglyMv8PfIN 6DOgHgFnuDi9P1vR92WMyBKtcyy+O4zcSgtLjWMUdnlJhMfWp7ExwpJO3h38pjdyOxSnA7qL K6dxdx6n6loZ4X9w+CfkYZ3xmbmtq6aYyroUj8PPPZYZyZlx7bxOBXjXObomq4W4q/qr8J3L 6mOt203fzAEuZz1vf39XTSvMKS1acY82J+ZvHeUt/Xg+TMPVRQB3rENx9DD6ogKjJzjIqt4F LaavXLh4Ur9huik6PctKUXz89vqM+Qm+NlV9ngxH0WalnsUzvSPqHLa67rbjVy0pWpQizurl z5e3p893w/Xu23c4jVNqBcI51UpuQQBu1Iuq6AY4SCSJopXAwdk1zdQ2p3OPrzUFTfhwZrXw 18H7JljwRu/0gXw51oozmTk7SLLVRmZdc4tCgzXwVkuC//j83x+fvqwewxdFmK9Pn7/9CYHD /IKC//VpSwFCqlyomjFhV0orGEihy9Piije7kK8tW+WsdYEK7URR+QB+2p0HmoQGmjYkmxxs NFc4QYrFfWmHKdB91i5QOeKT94K3uXahv0XFe/nVll+7NIhiLCJAKD54LpRDl3XsnScxp/OV d3P4L7WjFlMtRetyGGgQYAfnC+Pc8SGPIFW5z4MAzY5EkPWWxezK4RrFFFuUrQl8pCRAslQ2 p7o/vJ8GBKuGa0ywyi4+JIH+wGctobq8PzWskCXoSc8ViQ8yTJxFgWpPrITTe1bX6KeXJEFv 6dTMBGhmyppvVPC9/0KpS5Lg++C1xR2zBD/nXBjHtqaxN4nteCSEsL1dZP1wpNk4XpDKu+7Y u/e2/ENFQk3vumWS3xt9bUdLOuv0dPMQ5kHNexrgFEw2OWUA/k8YKH970kbWf2DjKvv2x5vw Avzp+Y+Xr8+f7l6fPr18w8fYZaZsYfdw7hbfUCIcUD6DmycxUdgzn5yCh6t0E7xlsXzf9TWf rfZN34JrU3fmPcViFAmUNGuK03lqq0G7MdkQx3btGh23tYlUEHNPur9EhEXQL4colj0ISZTw /uX1+RFsHP3W1HV9R8I8+sddIR1ea5bDICRenjXPvB6TvohS1Q6l6Onrx5fPn59e/3bN98Uw FML8ovIR3LIqqVjqdaxolgXSvV5/tRdO2mfG4u9yEtt8maefP96+fXn5v2do0G8/vxp5Vb6Y lTWcS3JJGqqCCIcoXxxoRnMfqGkbWOGqL08MNM/UN/caWBdxmmhHaDbsuAxXeC2fGdFrRJOk n0JbKPa0wiDJl5OuIEiIj8Mq7WEggcPyhkobSxpQx0W/RovxR2s6KQoCR9XygZ+HEDMfmiK7 uRkvo4hl6FMsjVaMlBh6JFYLcpz2qsR9GQToOxyLRF1xCdShN2InCVtfaBnLsp7xyT0YHA38 UvAVlqNrsIYS3TCTijZDThxXiyqtz2jg3oyvtcgn5H6PJ+OhJRXhpaLaFrDwHc+jZm4TG53U YevH8x0fje/2r9++vvFP1llXqGv8eHv6+unp9dPdbz+e3p4/f355e/7H3R8KVRnP2bALslxT rJzF5stKA78GefCXY8kjUGKsO7kwIST4C5May2roF6Oxo+BtoWKhfKGGZfWj8Lv5H3d83H99 /vH2+gLrEkemq358p4e+jLIlrSqrLBroXY6stqcsi1JrSyHFtqcFjv2TOetFC6IcaUScq0qB 0tCKdwjRXgXYhyOv0TDRMy6Fdv3H9yRy+JRYapg6HiYv7QcfOdev8xxtH5YwyM0dDMyXQWbl HeowCNAb9uUrzQAKCK81I2NuBzWPERVxZ0JyZC1haeGRYZOm/LRISGDttWVYrvRLNNXTL5uB WWi8werPSkWkjE957hrlnSvwdHgwvF440yaLXixS1mY+3P32K32RdXz9YmYAZKOVU/r/lD3b kts4rr/i2odTMw9TI0uWL+fUPMi6mWndIlK+5EXl6ThJ13a6+3R3amf+fglSknkBnd2XpA1A FEWCIACCwAodMw52sbxg48CwVPnqT3RIsVxAwkqUnxZuf0R1ZCaTm4sRDaAY110QBkbPBofR FgfHFngFYBTamF/D4Y4L+Mq3rvW2hD1v9JEbzOZ6hEUaLC3O5Iq677UIdDFPDbCwggMPA1qi VYhjLGBuslj7zDD3pMkMzsw6QfojYgcmvo2HveSGaAapsUaDPK5j6c8toQXQwB46XyQRkh5L Rvnrq+fX92+z6Pvl9eH+/PT73fPr5fw0Y9fF9HssNjtuhzmXFedN3/MsIVC3oeOu9Yidm8tl G5dBaDsGizxhQeC5V8dAgMdcKQRL7FhM4vlEW+8VS9rDY3UEB3Tr0Pd7w0Y1G5hbq53rHEs9 YY+8hkmT26JM79wGDUUc1t/as+WXkKu+Z1vl4sW6qvA//2VvWAzhly4JJFSURTDVgBkd4Urb s+enx78H9fP3pijMF3CQ2+UgtkdwN3toaiiDZjOtQZrGY6H70VM0+/L8KlUnswdclgeb4+mD i4Wq7U7NdjnBLIWHQxvn3AmkJYggchLPED5hfYvNJBiz6ATzrv2NISGKnK7zwnKqCjBqlYt2 2Jbry4HFbVwILZfhX85JI0c/9ELXyhHmmI8wsfDuur5pV7cdDSLrGRrXzOnx3qWFDEWQEy59 gHBP+fXL+f4y+yWtQs/357+OnPJ4ebV9S6OA9yxVs/ERY8uyqeS14+fnx7fZ+zPw4uXx+WX2 dPmX067oyvIkdx/DK2V7wETj+ev55dvD/ZtyuDg0B5fpSdPt7esZiV7YR+4bHHb1ql6vfytg 6ep7PX+/zP788eULH6/EdMNmfLjKBLIvXn2eGZyoMJKdVNB1NEf3as8t2kR7Ks7AWVgUbRor 1vuAiOvmxJ+KLAQpozzdFkR/hJ4o3hYg0LYAobY1jR70ig8oyas+rbgVjgWUjG+sG6o1mqRZ 2rZp0qs1CzgcwhUKku/0vnFdIwU+buQ9jiuCkUJ0i5FqugOsTcw3btBK17nJ0TBKQ5Up46M4 v+BfErWx1q2OKy+R8XCzb7FdIhOHXhUwoD4QdJ6I+5pGM+KiMN5Oc+TGw1pr5GBYQNDujo/a lg9P77hsDKNnFB8bQH0Ux2nheDsN9DHgv4c8zW2aQ2IRneHlVTvtgZLGXXbUBzIptN+Qri0/ skVofdaYQBsVu8BXEV4Hi6OGCzA6Y6Wsrau6TI3XbNs6SuguRQsSwEdQUINXWluQucC3IcPo WEEUE77qSv6D/hHYT1LIN0OwhxJKsVfxB4yDFhuXUQc2htCKmEGVI5GVRgt409tx3D/WiPac 3R0rYaLZJSUZDquQly0mGnc74UTj+CqauDAJdWFKUvVZfNc3op7AnZpiR2+7SNOGb9lQZgU+ 165hISQSPJBtZ8356fLIt6/Ps/Tp/vkzbBuIUJKtg6hIeKt1EwVLjKtGApY1Wppum6BJ5j71 1JS4Ew3/XclSAcmeGEvApDCn4RbtFLV0a/6bqEoLYCWkYwOOcuYonWgIp+Oy6hguw+jOTVbk zY4UpKF9sfWC8KOHDefQIkTi9QX1gtV+lRwMyaVSsqbmGqDnrxnjVvzPyBZBydLITcaHra+K tbdY74rBnBrUjp+yzthiWTZc+6fKEewIUcKmtDuQI9qZTIATTF+x2+eYbQk02VbtMKoWyfw3 5/t/Pj58/fbOjS++J40RYpa6xnF8Z46EuIK42+sXAaZYZNz0X/hMr9chUCX110GeOexkQcL2 Qeh9xPgS0JxNNr6ahmAEBqpfEIAsqf1FqcP2ee4vAj9a6ODxZNnsblTSYLnJcrRA0fA9fPO8 y+wv3R3XQYhdkgZkDTHxvprHZFKq9HHValCMFHcs8UPM/riSNIcSa3vIsoFgRPD2odCLll7R UQK3gVyFcjQq1PxVembVfrnixAU8Dx0VgdLMWAXXrI3LgRaJKLyFNbsPfW9VNHjD22Q5R5NI KJ/cxse4qtC200RddT9ZW+PzIsIDV6aHHXSwEZ/enh+5zvzw9vJ4Hu0sNGozF1GZtEbP9KUN N+CVcBgVDFpHV1b0j7WH49v6QP/ww0lytlHJtZgsgwODqeXrZmSjh3o4fdNyK6Y9YVsS8lBb M5HITY2//Mm4KGu0zo0sEkMLlpE6doHWXaVnUqwSS4/YkcQWlzuiLSv+81r/ibVplTNcWeaE eMh7tyNaT6DFoRyu1SP6crkH5xb0zLKw4MFoAVFwZgejuO1wb6fANniIiMB13DxVdHjxuWlx RyodFu/gPpfC3gJGYojA1wlrUUXDBHa5WlIWYGUUR0VhNimOn42HZbiUDuRjnddVS6jGrVdo n+EpG+HZtKQ30Vxpr7G7cgL56S41+pyn5ZaoVXUFMGtLA1LULak7as7dnuyjIsFVBsDz94k7 dG6Ck2tyD1EhL+cbL0wPXNUjmDEhOnpqx5WqQAmUltbnQLNNAfAh2rbG5LEDqXaR0dZdWlHC F1JtMFkRG1XmBDBNTEBV72sDVucEWxgjHH402J2QiSDL1GcB3HbltkibKPFd3AJU+WbhGXgF e+Amb0Fl4xrv5yQuOTOkJrwA+9kEnkT6N/PbxJWhHL12JB4jkP+gzpg+xtwy5LIsPZmtlV3B iMVoCoFW1xgA3PrW70EBkCu4kHCP8zqWPUlQpCwqTmrhYwHlooRvtHpfByBoxBix4txC0dAe jkgTimNiYnAfVzZB2eerxXyiiE502NLUrE9XMM4V4lnYOY/6t3KhiQwn5UpthybdFVgopWTm wRUIbh3hJUQHLGdKvv+k2P08QdFVTdEZIrfVrwYLUQHXeiNK8BufoiWuIrAP9Qmac7yMkX1t CI26oam57NmOi4zShLUdZbIu6xWjQq2l18Eu3Tc00F95IAQi4U1ZeSRViV2wAtyntK3FKE3t jxDrpZ9OCd+idZ+MGB2RBLnfddgVBrE9F42W8hLTD6aSwLo6M70IAqgB5eDFQd1Riger7Uz1 xFFdiSOkKMjUgbtC+7yuE3JEVTezUbNN8+4RRivuPuxi0oPLmiuZ0m1+HXv9ro4CnFxkCoxL BUjgnOvQrmhIr5XTkM9XlWGniHD/FraaiPY7VfQYVy7llYKKK6hx2lfpYbwOaymD5cPb/eXx 8fx0ef7xJmbmGmKutTamfgYLhOi3DTW6jL8M/J+Qwc6x+kVz2v0rfThqxmVcWyddzAr+KvO7 QLKKQRSFEOnWcV9Q3p1gNe24CKsSmXv7D19vy7jIe2Xz57d3MB3Gs7VESTerTtFydfQ8mAlH B47AOOZESWiyzSExoI1oYrijXKU0ohh29EzYqB0frK3OLAIOt4MR6J6bTwgcMkLrjacAHvIc 6w+MQJt8p+6zE7StawaSqGfWrAo8Y8CslBsCeF36iTCj+Mm7+v6xRI5jaiYyUJkrpLOAE8m3 XThGHBhIM4ughHplAmVWUYS61G5YCG6rqMgSCuiffZTiwFJX1rHz596uGaZHax0q7c6XxxvM DBTB0h/4WV/1fM3ylm88LOq9+HPs4XrotOPJbh74Nj/RYj2f20trAvPe1jqqXcPh/2ZltwXk ej7lESoujoDzxezzsEDh750tVUGESD/qLH48v73ZdraQTrGxirnOVmlaBgAPiTGJTATCydKq XJ3435n4blZzRT2dfb68wLn87PlpRmNKZn/+eJ9tizuQ/z1NZt/Pf4+h0ufHt+fZn5fZ0+Xy +fL5/3jnL1pLu8vjiwg8+Q5XcR+evjzrvR/oTDYawM7LoSoNuAVAIf2OIZOIRVm0dbWfcbUQ N6FVKkITraaOiuN/R8zVPE2SFq1dYhKFId76h65s6K5mODYqoi6JXC+vq9RlJalkd5BxH29/ vP7FxzDe4iSQ5rjbLrUrO2K5RXRkL2Bj8v389eHpq31pTSzqJF6bwytsQnNWSWPFcUjo/uba 5wSQ1Nxsat+pCY0lzDhCFfIyqahDNeOYQO+2APV5lOSptTdJHPTEuelIEoa7WK4ERpiCrouw DvPhC5SQR0kbG0MtwLWtIgmE/Bb364QaBtklW8MTLOa+eTy/89X/fZY//rjMivPfl1dj7sXz tKFIn7qjjAKQKqaQhmXEBcnni3LzTUg8UnNuVz10otWDmg58hIxfinRPqmczatoO06NwJGcO kkDI7dc5SILmLuXmNl+TLlUWaERylj6f+xH6Gm6mOG/RTUSUIR8N5zD6CAuwqCrSWAjfasHX hi0/f/56ef89+XF+/O0V3OIwJ7PXy///eHi9SP1fkoxmEER+8U3i8gQRt5+tkfWVhAcmZg8Z rtGaLhMJa6P4jksMSrldROuMog3JYAxueBBu6GEeRbG+doSbmaklU0c4N8p/9ug4UhiqpMYs TBg+Ew7M4IB3YFmat1ZvQcVa6cdqkyQW0/EZN0Q6SldoQLaQ+CLfizm0EoqdBGFkyGECRnaT yQeaiHATA2pZmLvfgG7vAvwWiEJkHh+oH7QLFnNDKZSYw46wdJdGlrgc8JCwQcZRpaZNiY5c wzVel3Ux0gz7cLlGe5SWTZo7xiFjCTcZ0ASqCtWeq7ktOg6kiT6iLyUt3he+WwypddzI3rR5 xs6u574aOK+jwuCIvjLnCoxjFklzwOFd5xgvkNJNVPVNggU92IRo83eFXsJQRUFkXk9jl69h ICtj1neusRChaw7uK2u6WjkuKBlk68Xtpd6Xx845lVW0Ly3/lUQ1hR94AYqqGVmuQ5yLP8ZR h0/wR65egBsMRdImbtZHU30ecJF6h8VA9E2UJKlp+I0CKG3b6EBavogpxUlO5bYuUJR6/KCt 4m3afpBJuRCxcnAMp8zkgD5TlxXREhYZj8WO547gzeWaIi7fCN1t68olWCnt8GKh6oQxnHG7 JlmtM73+q9otXKRI3UAxJnRvI2oUpyVZ+uYXcKAjCS5go6RjnVsQ72lqGAZFmtdMnAJqH1OY foFResenVazn35ZYUfbJ5SxJ5Nmb1qCQ6WmhF2QVnwDH5xDZVURYsINA92VG+iyiLN5FbW4u D0L5f/vcsAcL44u4wlXF6Z5sWz1dvehxfYharmO1ZufACXLD20ZTJv0kGTmyzlElQyo3cI6W ofELHH3izxqqVPpJjNrRN2Um+BD5/344P2LHGoKEkhj+CELPmroRt1h6WE0FMXKkuuv5bIhE EdTyE/A5qCnfSbBYoDaWWWwbUpV66Rcx1cy+vwBro/n299vD/flR2lr44mh22plqNaSuOcYp wXOwCTsQjCwzo+6AZ9FuXwOV2ssJKCuKbU+j8/+WX9Cb22zDFVzossuvVzSGuBXnIBA6oFvs Hz4tVitPfLxyVnNjzNQ2B4v+uw3DXAYDZjBdTK5Tn4MLGc7TDZ2Q4u/gMwLBJIc/fAQ7emkg 0FxGOVHt7OKG+n7lqMvrw8u3yysfn+tRhs5QRRMHRgleseJg3Thu9gr84O5121R520snje41 HVywjocUp6rhnWmOkZYhBmDlvjf9QAIWmJ7ianI+GVD+uHCUm92Easob7EYIILf8Ieu9fC/3 /ZW1bw3gHrwfzuUpJ/xIuMS54RwS7nNrxHXJIs7q+z1+1AsUMkpvdP6rCwllFV0ebrkm19SU MHNTE45sAwSJEg3H48izJjSFbdR6HiHN+npr7hBZX9kvT21QCTG0V5e1hsuoCRkd8abQF39m uL9/8Ju8vF7un7+/PL9dPsPlvC8PX3+8no2kXdAWnONbag5zuXxz+zMl31h97yqRqzKj9poe MeZ7XGRtxTUSR4cUstHNoQk5Y7wxjmegxbj2lBzlgFyZGXVeEkgqjTJnDswJFZfNPshgJPeq dIQzSFyyza19XUJlB7EEjQoN7pCBmBHMZ6ss05/z2LSxnxo917EA9CxGM/RLZBdTLfoGfvdx jJ3iyAd2SUBp4Ktx9sNrROLx9dGEU8g/OV/q9/IlSsSbm0XYpsXF/n65/BbLnDcvj5e/Lq+/ Jxfl14z+6+H9/psdPSIbhySuDQnErhYGvin9/tvWzW5Fj++X16fz+2VWgjvVrscrOpE0fVQw cZhoDEu1JyIL3ITFeud4ibZ/QhA0PRCmBymWJb5nlGkJNcwxZoWQET2CTURdiKsIGKy3ogcV nFhpcV3UWApgQbdtwTKowNbaHUC3rnJh34uB5hSY21M8GEVs7m8wo1aiq8Dzw43mZpWIlqR4 BIFE02DpKl0lCQ6+kedL+5y4XAb+2hgoARU1TIxBMotMGejW8yBhw8JNkhbz0Pec+WsEjaho 5xwogVVM/xG4XGDAjXbdZoR6cxM6lHPRh4EGsb9Q603Kr6y3nP37j902NRoZMK3wZurfBFVZ eLddHyVip/TXiLqJC7PzHBha39mEWkXfERgej2Nkl43T8x1cwXhGuAm/xOsADfh16OF5/0a8 cQ/HGqHwaPVqgLsqdE00RvkrAbermunYeO4vqLcO7Zce8HhRgZzKRjgXVeKvPd8eXxaEG+dK rKhvcQ1Xyo9bgu1qw9rXihHLaLM4gtIdxoyzIg43RqYpyfdDqSrXK5QiteYiDP8ygDXTAhjk 80oZWhUO98CWanFlASU0mGdFMN+Y3DwgpP1niFoR+fHn48PTP3+Zy/y2bb4VeP5NP57gNiMS Jzr75RpF+6slrLfgU8HUDykXrHqokmmgSjCW7kiORHFsVe+eAEIZRGtOIGHq9uTIQy2nU9RP HRa364Wk0bOKyLbzMpijPnnJUWPZyXGYs8fz2zdxM5Q9v3K9Qt/htFXB1qG4BTxND3t9+PrV JhziIak1fmOgpCio6erhSFTzLRhiVlyNcHsA0xY0ml0atWxrnLJpFFNI/Y25GEjjBktJrpFE 3A7ZE3Yyl+yARjaB6WuGkFbBdWKAH17e4Zz7bfYuR/nK7NXl/csDaGCDwj37BSbj/fzK9fFf 8bkQzlZK0oqZcmP8OFFFwtG5JqpUm0rDcQkmK8Ljg9aIq2ROFp4GrkucQ8OYcuUKjkQpJVtS ED3xfjSfn7juFpGiSJ2eKC4mzv/88QLjJi7ivb1cLvffrkMGIZZ3nRIIOwAGK4lo52UT7lSx He9YxSh22meTNZovysA3dVFg26BB1iUNUyxPHbutqAuVpDEr7tyfwfHpEV8MFmGDq/IGHX/d Tz/nLj01sbtTxX/Shrj642yCNnd1hxn4Ohk7Nu2NVoTPCrWIHZx1bYjwfyuyjSrMkm9ZDE6t K98BYDRwpiYAuItZzXcnRxsUgoN2sd7OABxvbf/j9f3e+4dKYIXNALDac5PMWkAcM3sYUz9p JhA8QyqWwesyR8G8kaRpa0clrZHCqOOidrbdj4cg010N6BVilY3ksmqwo1rkQBNtt+GnlGLK 25UkrT+pdT0n+HGt1twY4dcodettCYXsLzc7BCQr7EBIIViufPu1u1O5DpeBjeCa3lLL36og RO1RDCFriiKf0NIwDvB6sgMFocXc99bYwxLlO0qO6kRoldaB5MgJQrvfTZytQz0hr4Yy8p/j RAGaJF0jWbpfsb71cLmYM6NIpobpDwkugifW+hj4mEScJieGmpIb7A2UG9cbz1GycKDJuArp qNUxvYHzvCO3u0ISrtGSj0obPjJ9aRkYFVGmJ/aBkSoeIdDTlF4xazx7+zQwYWl3hSZ8na5H WQOZTnRZg0zfJtDF7wRf2HAhB3wHPMThC6R9AV/h8I1nivZJGKCRbdOAbVbe3G6yPS74rCJw kAeLNfLtQuz4WCf4SvHnaALG6eG4WW2MgYALc3wbBStKnRgwYf6DzSChgR/cFjyyW9jBoMaH mxiRvhLT7w7adbvr4A1ptfW44Zs8xefQx0Uwx4Ro/liVIAywkYfNYx32WVSSwlGg9kq5Wtwe r4T6Cw93CU4kN6rPKyQ3RS5ld/MVizAWW6yZVq9UgQeIgAF4iOzkJS2X/gJl1e3HhbNE9ji5 TRjjhXQHAmANZPuF0ri642bCwI2v25uQka5mxHw6VR/LBmsTLsn3qX2y8fz0Gxi4N1kxouXG XyKfkER7UsUE5TSSO/3t035DIcS0hJso6mXCaVognh2ZLRHmvuc/se+sXWVcrxuhWwcVu1Cz CdALe9N0tov5EdH74MZdC3XYPPtTAEejcoONFBLWbL6RrUOsVdpVy39X9mzbbeO6/kpWn85e a2ZPfIntPPRBpmRbjW6RZMfpi1Ym9bRe0yRdSXr29Hz9AXiRQBJ0sl/aGIBI8AaCIAiwnS8z bp4SrzuG/TqP4miyYGckBsUoBOdU3Y9lC3+dj7h53uYVxyS61ExPqxJZJe30J6odnEfcNZIv 9hxcubz7c23PziYAd7tTym5T7Br2w3IfsU+Ce4J2PB+xGoufMN4jmM/GrLTa41w6tX/NJ9ze LrNh+10lL4VYnaqNR6PLU8Oi3EDMhofW2eYAB+Tn03LGBOmkTYthVgbejQMK83wzj8Xh1C6k cxR/t64/5HAKBcO3S3TQXaaVmsjN1qagTZKt8KBqTQuN2yRR5ZyRTYpOuy292Wu71x6ZQz3o emmH/Iin0zmcHtzH/hpOexOz/UaNSFN0NGVatmlHsyu6sQDZmBiVqqiWLvgVxvejYAz3p5Ef zx1wXeJQfLywweqGFaV5g/4Zv2zsEl9pG9yHD0MLdOu7ZdaVbOARSmCZ8glC3hQz35pmDVMl LdlpgjFhuWRuBE3tmuo33plsPeAyyrKSDpuGp0W1tUxSppA8xFNc8ce7nXShxMq9JZQf75+f Xp7+ej3b/PpxeP59d/b15+Hl1QqvYYJov0Fq2F/Xye2SRgvRgC5pLHHXtNE6tUO+9DguWm8/ inWZJ/3bclKP1nBoHRqERweuKI2tq7xZD5PZgBsaYdQAYTK3ljXYIHB28dYrQyGvG5b0Kb/B 7JbCB5qYu0xzVDgVx8XOpwoa5AyF9PwIcbxtlpUMLLVOXJYVSsck71F5kmVRUe6Z8BDqiqzb lC2mZqdN0pjAlC5he+/25WjORfjfRCCjRUayzsMPfGMOy8ky5htCGLwEZBSRNTrdpSpEbSDf n+7/pvePGL+9Pvx1eD483mMizZfjV3uvSUXAMx1rbKqFay0xMQHfV5Fd3KaJOfPP0AzWdGej L6cLrjcJ0Sad4X39L7aERgTC+Vo0gdCwlCa9mEy5U5NDc0GiWNio0TSEmU4DzQfcnNc4CdEy Hy0Wb1KJWCTzc/5BiEN2OeYDy1IymdMBNK7THSIPTFmyb6jXuoNvIh63TvK0SAOjqvS1N8ds nFcNa3mgRe1T/B80UWthdtdlnV7boAwzBS0wY3wWp+sAa55OyxE5bh0+QbkvaCgbgtmJC3Ye 5Xk11veTHHqV7pNYbsZ2myJhUudaK7e8gZG5CDhH9QRz9m1Uj76kh0A5VaP0Cp+Mjdzqlu2o E2IbzA5DaeKU3bWQQuRwSBl18Y688jaIxeTCq1Xk3cw5PLME3ToKeEEYqquy4C5VyQCkeJvE cSBu18U2sPFpkk3Nm3QMvmjYhdhjx1y9DWfqQGQNq2uJYUUthYLKW5ByM7Gb2FkLXAouEohN M5uds1McUfPzwPoC5PxyIXbj0OS0NoYx+8Jbhq/H2E9E9DTtdvkWY8sSgxoQPWEvvB1dhRnI GVjBwCp3ZCT02lN808evh8fj/VnzJJhHgKCXJkUKvKyNL85QFcUpE4Z1wHKw4wteSXPpAtuS S7bgep8S7TFbIs/sfoTZiBheWxACwr5pH6LXcf3ETg4uQkVP16bat8qtiFe6ZMKe9vA3Vkvy ThPhjOFzVRxJBtmO1RUGqwFJJAhu5zb9BC0cmvmrd590FycCaE/XvUlX7y0vaTdvFreMq/cW B9uZKi5IsZ7EpytkU5taNLP57CJYACLVrvoOniWxiPIwz5JiLZJTPEsab7yDlGq0T5e2wxQZ 4r0l5qu3S8zTKj2P3jUnB/rlf0c/+i/LH7nln6QeR+9q5Pi9TM/5/IIOFWsotWhcW6mH1Ivs PeXopXu6OLXI3mYeiN/RxMVo8ubpAakCSeQ9Koa9IGm/FIIUMLXFan2SIj/VYZJk9761tBjN JycKmk/et8gXsA0GGV5MeuF0oiqgUlLpPV2+mLxzA1Gk1VY+FOX1JYcovMf1ZFEcOAAECi04 l02fuB/3EwW+ezTe3DUVUVK4syRAfTGasbrMaTWDaCIm7pQ0yzx8f/oKCtAPfWlvJfd7Dzmx dTVtVMO/YjKC3qnYTGnyCdo6bogvnwTVVS4EOydkcC7Sc5I8upiEjn4KPz+JlgfZSjR4M77g 3UVsuibe0yCEPbLJY2SdwQB0Q087UXUNG7noFucL3qUACfKcoTDaLOCjqmnwzGtpuQY+Ox9x LkSprnh6PiKuAQaKHxF1umdytrehGQtVtHPiAQQdqqDWkaiHQl9z0MklB3VLyAboMOdiRX05 G/HbCBJkDAEpV/X6JXUAGJhwG6eJ2TZfXvLQGVuEC9bECwdabQc4WWpDMdygX8OcVYNumQob gYId4PMRe9ICPF7HaQJy1hWyNB44tq/gNBhkGhu4C9BZFcmsenViynygZcoGe+AcPtFAWpXM 3MM0aKCB8VdtXky5CdDoCTSz5xWCZQfP2Idf8ivJ6IxOG+z2dlvDwdPtecRczxo4QVbdlA2I YhgBNl1G9BwI8m86QX1KEHowPbgcAY0YOjneSwYu7PqHUsbsayszc0cXdG5o4JgDTmg41GGK j3iwW0TfWJe+R9hfVHkq3zzL25N054jqzQrFaQ+7QkG6F8I2B65XusugGl26ZYPRMTXeMPar FBCEs4mYTfuXjrZdqLmodhj8g8OpcJrdBBg5hZ+eQl688fHFeObg+wYbiqnFHtP2nnB8sqqo zmcneUWFvlG3CPaFt8YDJvAEAl/BBjpR4caBNkrsdBJon30Dlq7SHW8Uaqo6flcRAW8mCUcT tsXatkh33WokRufnDSL5Dy/O0y7CfhXkRt7AR3gV4xXbo2q3WJdqMztd8WY2mgUqgE+94geK qeTAZzr1QDOgnIyYShaAGE9OtQApJm9SLCbtGyQbrwwLvZs0PHtxMn6j5Hp6foriEtnzKOwS 3KqJIGpTzBl44uIEZli1Se2XjBZBts7R4sriVYydbhdgf3PTVGmRlSJkJW2efj7fc/Ed8G0l Jij5ZUOqulzSG+/sqqmFc2+lr3PUFxZY3sO4cO316YGNx6eHuAEFfNlD+7au2javz2E+h96F pvsKNwDvQ+kBOgt+hndlDgt1HPnFqAXllWItSZjGTZhChRcL45Xj5gkCnR4i2BTtd9m1rfD5 12654Y/VWMdLjIQNE0HkWzoRVA5zt6fyfeOCCpiSdeJCMQbOWobwg9F1kbrqKoUjr9jY7yc1 TjodgtrAMA5b3m6eywdsqSCbkkxuDoVablEKGPbBkHUp3SL4+t84IgdnFN4ew5G1YeZie/XW AHxCVd5lu9noBSpydm826Lzd2q6eOj5Z2bTclXf/XZtb8i3RjcOMIWFOqz1xjd0sJjh389o6 WfVQ1iqgsZVVt6o4zfc4op1oT3RVg4lTBR1xAf02MmuIvb0KLi5DAbWGwuYbkhBeJhLAcNk4 fLOpc5dnWYEcwdyvpyjNliW1C0A/5BbE+Et1+YYkw1H+2N0ExUN9A5NTfkS9cWGTkKwhgltF WZuAdHI/0wx5ETWp1i9tOikdCNwLqlg4nKs1DITkQIALQuTxtSGl4hS0krxZO+za+qDbGNsw hVXxAwn799YkWvC2zvrw8PR6+PH8dM84HyeYEM11JhigneDd+szU2VVbkAz4udUFjVBX0XqO MBwozn48vHxlmJIuiZQfBEgnQ+76XSILYqlXEMqHhVBWRhletGaDcSky7cZKYkHZ7JKhwzS0 GPHY6/qmFGf/0/x6eT08nJWPZ+Lb8ce/8JX0/fGv4z3JaSWJjfW0eWLfcqmXHyIqduxhUqPl 9XDUbGm0RZ0aASRQKdJiRXQfhckppm8tx47iU7lL2Wz2u7KMgIieiyDqMnvD7lFNUZb8OxVN VI0j+f0pGs0yK5QYFgehejnCb7s0ppJWA5tVbfz2l89Pd1/unx74hhqt0eQyJZNBqEBT7MsN iXVzdknxki9p57OVq4xD++qP1fPh8HJ/9/1wdv30nF7zHF5vUyG6pFinBVGB0WrSZOWNBSHa ahVFYxNJgs79t6pV0Tv+ne9D01d2ObqjsAPmfan8VEAF/ucfvnlaPb7O11QtU8CisnhnipHF JzKnxll2fD2oypc/j98x1ki/Qv2YMGmb0MhZ+FM2DQBtXWaZDnyja35/DcohnVzJ+HWbvcVV wEBCRxXnyYxIWCJ15NxWIVwavW7qiNNAteS0bj8RNtxmGq94jl/Zkuufd99h+gYWj7oHgU0L X7TGVt5EJZxhb+nYxCUK3SxT23wKwCwTXB+oqIZx7edul5jrPA1g9BWNC6piH1jFzrfm4sdt 140omsYTbLbuUdMOZruRypIhTeGwyYEaiSkEOelz2wgnvaACLaL5/PLSNu0OCNYgTb4754qb X7KVnAfq4O9nCAHneEvQswu2ulmovhkf0Y1Q8E6ShCB0pzBQBPzaCEXEGs0lPsd0FwnP/nQe /k7iA0MZeNNMCLi3yAQtAv05TU6PzzQaBT5cso+HjXa/rolNp4emZVyCJk/8EuXe3dvQXSNw 1MgXnmEztMoJxHxZ5Z2qir9611R96DwQatsqC1lUgEdpNRifd7sya2WaOJ/epZ541HazrZQZ 0tjRazdSFO+P34+P7ibaSxgO24f3eZf22h/kctyJVnVybWrWP8/WT0D4+ER3AI3q1uVOpyzq yiJOcEOwXg4SMpDReE6M+Je4FiXqZE20IyowRWN0uqaKBNGKrK+jpknlt1YjYk/VhTOrHn8Z SF63nR5h5XGXIn9RpLKfeaihH7tkh7HLfvn9IRGm9qJkX06wtFWVb7kOVkT9AotXnJ0k2bdi CNWW/PN6//Rosmx63aOIu1UTXU7pba2G67TKZCVJcB7tR9OLOe/ONdBMJhfcdedA4ER31Iiq LS6si0ENV5s23gXmaSM8dN0uLueTiGG3yS8uAgESNIXJ/xDmFigE93yPojFq8ySQmiiHw3rN h7NI2XqrG+JPDj/UWzk6zRAYSh+KOGl1tMtQhsiW5rpEMB5tUm0fsIo/8cxBo903FhKc1HBu D33jnqsQaCy9bv1MRAgLHwyEgEhtMbVr2qTLXesynOahPgTRMLL7CiDjuQfq2sqpCG3PGV6z OLTXzWx8HrkNlQF3uV1dIcVoAQemRrR2HV5kAQWksacNhL54tGqWxoVgB8uTS8o+NVEfuz7u ErpvbJYw4EUX58o+6rRchs9ln/tJ7N7rqoDWLFHa8IzGXYsBIzJtqFFFbKC8DHYrbbLxQlQZ 9x5dou381wpUx84CblOvWDROhsrUlw9OsXghZIOccBESlCZW0nQN29RKqlg8qAug4Az4bC0v deCvr8/uQc3ww8gDRnYzNSjBIkzZc28Uo+0XPhn4/CSvISIa0dOMKawngcQVVSh7JNTL3UDU n6ORRPKqnh5UWTbDYdvAnnguORyc7siDFIt1U+VmoXgl5o76ur+PhbbFNJ8Zig7AN23i3Bwg vGjzLW9o1noClgyb4jIt+Ji1ZVms0XRYiU1X0U4FCay5H8wv7qASZipMP8pnRlLPqsRgV/ll Y6J2Q8+YGrhvRud7e8AQLi1yrIuUxsuNxS1tCGbIgfGXiDL3I3ym7MKg0+ceTIrx9Y3PbBYV bXod5FULbbc8FTDIK0yZeKVfN2idXF4aRYeXsf7X/R1m8Dtltiibxu0lbXkRLhzfUHsweQRw WyTlVF6NLry+g5PJqlpHHhh9Ylxg//rKuj6SKM6XgSXo1tk2cZnGcFPk0lf5UJjHgOyrP4Oc qYwdKh7a5vas+fnnizxmDfJOx0XSCcd8oHxO0sUWGsFmR0e9s2zXNlK+JqaDLPMKrfNAjjD8 RLkJOPnJNAIvtAwXvJRXdJeygHAF6PpjZ5ySDcSJu1BZ5tzKzY1GJrHBuoec0B5dkGoCMi1N +Aqj/Vpi36gQyWTHIG0XFVFWslqg/0GsUqwRAn2VgJxtbIx66Wu4tT/pmlqOme/Ngv3gZrEz HxXNqW4qmrFKYWVpH/gppttrojbyytR5+ILdpTk92aW9E0hZw0bIXdpSKn9BGIzKS+qy2GOj bMeelYAGtX31kFb3qT3k6R7EOLsOCJVa89w6UqLiZDdtUtxtcDs+VUGTwpZSlOx6MbpFeBmq Pafb1fsxusvgpPrF4GtQTnQFRgtTkdPmF/Kkmm1B4ag7bxTU/srPEoUKs5bv4CjaQRXA2LbN U7tkg11IX1mvYlDzu/GiyGXGSXud9Ci7QQalxorWlFcTdgYgHIsPiwV0kwmPHaK3zglcg/fN KdmKFJs452w1Bq0mpp1WSuKiqtqURYJPIGD+ceZkJCtFkpUtRoKPk8buWal/cf2hfRWu8U3J iWFV+gFMNKfv9b1M5c5hBT8hoCSBSi7KlKhTDjbdKsnbstt5a4R8zp4qHBo5dUL1eGNp+gRf yZxc63UkHRPC3YaHVFQEJmrLdOoZLHjy1z5w+qKUUmicmEU2oVwrv8J4mGq+DO5JfLnSo1S+ NKs/9VkkrpT3vjtgGi1nuCQIttUYP519hmoh2kduu3LmTo9gpKrxwz8xJ3sFUveb9T1FshYa SsNpJcPZbyNCwwfnMWlDGE2AU+grV8EY8FODd9hs2nQzPZ+f0uGkQQEDY21uhT2+0oQwupx2 1XhrVxxHWk91WxXni5G/SqjkyWcXU1YmfZqPR0l3k34ewNJCpE+RndV6OBhUaZU4aqdMkDem oTzVBoqHtaskyZcRzKc8F/4WSylOLfHefie39PCsHegSJ4EcVemVR7UOfUtO3fa5gpSMlyOC v/cX1ljATzxOsPzVtg+S8gt6/PL8dPxCbkiKuC4tNxsF6JZpEaNTpJ3+wsauOJuAU4COjfnx w59HzBHz27f/6D/+9/GL+utDqHisvI9WyfsQ6eaYuuOIHLllogjnZ29Ht4DS3pJaR+sBUYqy 5R2hVLyTLlltWT8IVYQ57CXoq0c2IxsLVdBhVUj0dPZqNwMPeoOs2HF1uF7Z1fSy2yHu4WzN qPSHatb9KMUJRjokXdzLOlWZ08u71QzEmyzW9XuDbjb8OZxg+FropXUVuK+VIaqDQyAdNg0z KtLrzdnr89398fGrb79sWmsKwE8VTbFbRry6MVCg33DrfswkZSHYptzWgs0I5BMN6aKIKRIl T2uFojWwbs3myO3RTeAz2Eb5OypDULG+2T16yNei1yfT20OpaB1iSls1xPQEP2SaTYyaWGDa z18Uk0fyJKPvKX3EZrtk4fBvJ1YBlI4LPLAJyAaWFs9q1yyTVboq3S9K1tOpTfqJCH9yd/0U 3K8RTA1aZcleGliVFxrJu+o7oW33XRSv55fjiCw0BWxG03P6QHm7d7oPIfrxzeBDxtTWb3Ag KSqamCq1/K/hl7xdd++SmyzNeZuyTF0MfxcJvfCiUBTLYQyG4noII4tTyOsAUorWEl+wW4lV LBqthbILSJRbJOXkeNlYcgN/q9NLzM04iUZ/bzo8zvW+yp53xFxPUrGwXDx3cHaJozaBSYrh kBuWKcClqJMNnZzs23Fnx3rVoG4fteyDCcBPOvvErEEd5qCG2Sg4FztD0yRiW1sZ6wAz9Quc vqPA6YkCnRjZn5axdQbA38F7dig1X4pIbCyDbZ2kDepGHasefZIIq4pQAywKw36QwGPS/ryN 2hRfK3E87T2eEKLfKnQ7zrcQCa63pW0q2r8xFIi3s5ghpCxAPU5AxtaBeMFIdBPV/D31nmu6 xq1Xzbij6l4pNOTBhXTl2NasewT2HNdpikBWjZvHVVau3YoUkjKwbNXEGBgwkKHjaP/0WJhj 4ko/aXNmgUtab9GIVwBVp8K8e+WF+kthowamb8tyUSerbpfUfND5Is3c/l6NvZklQdin/PLQ Xyip4n33xvwyNGSp29+rXjxRsUx1mRafEhkk1WuINF/WmOfRvsYz6Owzf1Qc8NxaMtjPTUsO YjhO9DjjTJFehuEapX1uIN0SH+nC5kzHI82SDsGp7YOJPn3oG3lrUfASLylEfVs53UPBXZSt GwuHU8YZDQM8JVs1xXKbgv4DczpdF1G7rRNrPsV+EgSyP0uc9CbkxyUKplAwwo3+xJyi0vQn N/6Vck8cTu01gDUhiqtQ7HhFEWq3wrZ1Qk92qxzE8MgFEKOs/Eq0ZGJE27ZcNVNL1iiYBcKz kbVkhXVM1CH97SVcwsBk0a2zjpSWcXf/7UBU0VXjbY8aFJSrBo83KuW6jnI6lRTK2bMNuFzi uu2ytCGKo0ThrG44mJ9ikuB6Dljbg26qanb8OxyF/4h3sVS8Br3LTMSmvMQbJNrzn8osTSwx +xnIAgHxt/Gqc1GGD75u5RhbNn+sovaPZI//Fi3P3UoKY+ofAt85Y75bBSU2IEySYIw6WWFC jOlkPsgjXf6DDTHfpCU+GmygKz78fP1r0ScALVqzd1CAM/QSVt9Y2vCpNqvr/JfDzy9PZ39x fSEfVNJaJeAKPZMcGDos0AUngdh4UNJh8y1rByU2aRbXNOj4VVIXtCrPx7PNK7bL1X/D1mrM iX67+iFNG5VvBp+sJzQpRVljlhMjFQZLXBxSYKOVI0ISKfitTutBOkOKs91sQmUDosq2joKU OPNAApx5sPQakITqELCgLYEnf6vd0hyszIBcb6Nmw5ay2ztcYez6va1a5g7JpnJ67rrYTz0F CYCzEO+1V6aCYLLwJO6Wt6oZLhr2ZAMfdiuQbXUg7M1ts+Pr3zoNUL+7G9in6ftFf3ySuvQa amDBrbAnMMqgC2dV5h7LnZhcms9pxZTbX5Hjas7SPG0/johhMmlvyvqKLidOG86o6MoaI+8+ fji+PC0WF5e/jz5QtBGdHYhOYiWmmPlkbhc5YOYXgW8WNJSWgxkHMZZTt4Pj4tnaJLNglbNR iM3ZOIiZBEubBjEXQcwsiLkMYC4noW8u7UhizlfcfaNNMr0MNXruNA00A5wz3SLAyWh8ghVA cg+4kEam2rKZMFWNeA7GbjUGwd2OUvw09CHn8UnxM56/OQ++5NkeTULVj7gjmUXgrYarMl10 nM2rR27dT/JIoDCOuIcRBi8SOOcI7kuRwIFjW/OHy56oLqM2PV3DbZ1mGV/HOkqygH9MTwKn Ei5QnMGn0ALndViPKrYp5xhm9Q0wb48eYuDEd6VS7hHEtl1ZQV/ijLOWbotUWJcGGtAV+Egt Sz9H8rxqrhiJTbnsbiz/aMucqsJGHO5/Ph9ff5Hsfr1aZ0cKxt9dnVxvE7Td4vGCuydO6gaO G/jCC+gxACXZPtoa96NYlTzoXerEbeB2jV28gaN/UssW8mcKsz92MShp0mG2rVPBh5k5sZca lKXpYEIrmW+sAPbw+C3K6rbDRHIiUqrxoAy6ZIEbM2iJkDQ5jKB6D85wY04VQ+Mi4u2QNfnH DxgM58vTfx5/+3X3cPfb96e7Lz+Oj7+93P11gHKOX347Pr4evuLQ/vbnj78+qNG+Ojw/Hr6f fbt7/nJ4xOusYdR1VICHp+dfZ8fH4+vx7vvx/+4QS9N1pOgqjY70RUlDPUiENJlAz/TM28Yl Q7OC1UdI2MNggA+DDjejf0/qTmvD6b6slRJJhjmSaSzts5GC5UkuqlsXuqeHIgWqrl1IHaXx DGajKHdUSYeZjndS6rj9/OvH69PZ/dPz4ezp+ezb4fuPwzNJwyGJ0QwVWWmoKHjsw5MoZoE+ aXMl0mpjhROzEf4nm4iKMAL0SWsaY3SAsYS9VvngMh7kJAoxf1VVPvUVvdszJaAV1CcFAR6t mXI13P8AF7NlerHo8eVZtMwSZcRmD3IWebJvMdSdtnjbNOvVaLzIt5mHKLYZDxwzjMn/uEdg pl+27QaEsjcWcm8xTwl+/vn9eP/734dfZ/dyFn99vvvx7Zc3eesm8viK/RmUCL+6RMRW4PIe XMcNm7JKz93cHyGQobtkfHEhA48rB6Kfr98Oj6/H+7vXw5ez5FE2AgTF2X+Or9/OopeXp/uj RMV3r3deq4TI/bFhYGID22Q0Pq/K7HY0Ob9gBiNK1ikmoD/RoOSaRgvuu2ETgUTdmQYtZWy0 h6cv1Gxp2FgKbhqsOKc3g2z9BSCYGZmIpQfL6huP3XLl01Vi6Y/6nqkE9AAMH+PRFpu+Yz25 EYMS1m5zv9/wxb3ptM3dy7dQn4HO5n28ySOuJ/fQkHBX7tRHypB5/Hp4efUrq8VkLPwOR7AH 3e+lEHZ5W2bRVTJeMitGYU6IHqinHZ3H6cqf1Ky8J9PZkWHxlIFx0z5PYf7Kxwy8qm7ERx6P 2LjnZm1sopFXIwDHFzMOfDFiNsFNNPGBOQPDy4xl6W9qN9WFTDCu9vTjj2+WF0u/zht29WOk y3D7QFO5WaXMEBiElzXNDGmEWWJTX/gK6TSkPvKnCmLZpKUDesZ8FicnZtdK/h+UjUyvwH5a 8e9v+uHx51l7U7I9peFDR6lhenr48Xx4ebHU2741qyxqE6adzr2ojVxM/cmVfZ6yxUw3JwSG vj9VYQvvHr88PZwVPx/+PDyfrQ+Ph2ejk3tzqWjSTlQ1e+FpmlYv1yo7tis+JCYg3xSOz+RN SbhNAxFeZZ/Stk3wiVUN5yQPi/pUx6m8BsFroT2WqLVuS3qak73UU0ld2h+/Hp8UUrMrl+j6 2HLn4V52RMy+hs3odCxEeiD4fvzz+Q6OP89PP1+Pj8zmlKVLLVB8uJb25gHnKRoWp9blyc8V CY/qNa3TJQwKGYc2Gwyoj+nn5OPoFMmpaoIb1dAKSznzifq9xJ0DmxvuTqm5zfMEzQ/SdoHv TKxjoUFW22WmaZrtMkjWVrlF0y+U/cX5ZSeSuk1XqUAvOOUCNxRSXYlmgTf5O8RiGS6FKVvD H+iXc33dRcod7lskHo8C+DlnR0nXaAWpEuWDId1skMmUCN/D8yvGdQIF+0Umc8IU3HevP+EY fP/tcP83nOiJN7O8mqC2ozq1sld4+ObjB+KLr/HqWEX6LGQfKos4qm/d+kIXTFg0rCZxhbf1 PLG5335Ho2XvZMHVr0wKlRWV0cC6JRzZQH7XnGETHdOiupNXpPROODIeNBqwTEHHgRGjTu/m ITioP4WobrtVLV+e0blESbKkCGALfOTeppmTfqyOAyogzN48gUNsvgSGuEtEOadoUISmzSv9 UIMuZgHnNdhwLNBoZlP4+q/o0nbb2V9NnOM0ANiHHTYBLPVkebtgPlUYPg2XJonqm2AKZ0mx ZO3RgJvRtO21cBQRwd1/gcTzjyJiQQTP3t56YUbFZU56YUCBOtS7mdnQOPHhn1HYwlYoFS8b OqhjhsvP5VCyBSUlE/iUpZ7yfIDuxbAtwRz9/jOC3d/dfjHzYPI1VOXTphG9ANTAqM45WLvZ 5ksP0YCY9stdik8ezB4iszKpPbvfhTDmMaywXQL11hGxgW4i6VZNH8wgKM6JRlBg1GSA4Ntf qfzQAHg5eo2JLKrx1chG6oGk4lpsZHnSiIq0q7L2FjVPJaotQ4JYGLWKVjZcuAASNbnQ3b1p Qy9dibRZZ6rnSNOuiTRaZ6X1Xhl/n5IWRWa7B/Sj05ZwSqZzJKu36gKGLPDsc9dGZGpgVB3Q bAg/eZXCciKlpMtVTHoeH6zVaI1qazLaq7JojQu19TgE4KwbFdIv/lk4JSz+oRK3wSdNWdpa kKosqSwHuaZc94cNAd//c9eC5fJTtKYqQSsznxGZ1O/C3uZqX4sY3UNCfzwfH1//PoMT2NmX h8PLV/+KTLpKqrQUZFdVQBHZkYSEeiDVZeU6gz02603e8yDF9RY966b9AGqlzCuhp1iWZWvq j5OMrtr4togwDrPj0GKBnSsQUESXJeqpSV0DVUL7Mdg3/en6+P3w++vxQWs3L5L0XsGf/Z5c 1VCBdDf9ODofT+lIVph/BZmh7kJwMJNHL0DRKbJJMB4Xxq4CocPm/VQNbZRjNPqT5VEryI7m YiRP6Ntv+f1qj/gSH7XdJNEV3nui+OE1v/f2huw7ecY/3ps5GR/+/Pn1K95xpY8vr88/Hw6P r/SNVLRWiTdoFC8C7C/a1FH14/k/I44KFLaUalI+Ds3QW4xfgsq13QsN0zONFI033alBQJep tFF0Ob4sOlFO4SS87zceuT/BMF2tYyLb/F+mGXqR0aok2rudsdFXMf+mY7tsIv4K813jaHcI OlLSYJf6UUba9PZjfS/aF0ZEEUoGOOQkRWO5tKsyEGv2KqeLe5SxZugZw13uyyNhmTZl4XhC qqKU4zLfi3rdZRHfjxotr5a3KOW4kyXseLGmSYpYvYLwudhxLhS6K2X8UnkTTQSzkGrCVQQj yVgTFBY95XBPKUr5JCX9DNMujrUu6F5bD8PjNXCDEepcb3NJf1Y+/Xj57Sx7uv/75w8lIDZ3 j1/pbhPJDDogjazHEBYYH8ZticVEIXGDKrftx/N+7y/F1RbPSi0MGNX7mnLV+sjhBQ1sMLAN RzkllHVwz3CCxJrL82F0sKpug9Ev2qi5otNXia8e1bdlND7n+BoI32bLoXW5urkG4Q9bQFxa c13aPlRr2IV/ejSV0w3sAl9+ouhnVrKa5p5DvwR7jw0GhwemSHvyY8ddJUmllq4yNeCd4SCZ /uflx/ER7xGB84efr4d/DvDH4fX+3//+97+owVmVV7ddvm2TPWv719Ndp9jzFynzpVv8TcN7 pCq00opBoECLXGmn3/0oY7BWAq1NSr4ogqmNr3BC+ZlubhSTgxppJfxdBb8fdM3/onfd1oOY gFPvmmu/VEhAYnfbooFjFswVdQr3O/lKCeSAvPlbbUxf7l7vznBHukdb1Is/zmjZOjFO1Rv4 hredKaR8tpQ69p1hVeOeUnRx1EaomtZb+S7rxKILNMmeHaKGTitaUAaa/pZFbLmVSEfYsrmJ bYfhOINzBwmsjx8oBl8fDp8TpRZwoEN2UnXt5dx4ZFfc1pHg7UGITa7DfuiSbekb162xEFRa 0zKmG5jdEe5ogUBUKm/tKbsWnXqxB8oIntvtcBIRBt/031s9Hp9extYQDH7wUZ3d6kMNO/Tu t/RE1x5eXnHtofwVmBrg7uuBFn61LXh3Tj0v8ehT1uQlJX1Zu5LeXWF63gc1aVUQiPd+4Lzl 5Gx9SkUBxUSUOzU/OjvcTQ3KNRpTcb6hYMQbQLYyUJCC4uxUlw4lSOkEKmuD9cSl2EJdAZVQ CbJlqvqA39ack/n/A+e8+skYIQIA --OXfL5xGRrasGEqWY--